repo stringclasses 454
values | file_path stringlengths 5 201 | extension stringclasses 1
value | content stringlengths 8 509k | num_lines int64 3 16.9k | size_bytes int64 8 511k |
|---|---|---|---|---|---|
mlflow | tests/langgraph/test_chat_agent_langgraph.py | .py | import json
import pytest
from langchain_core.messages import AIMessage, ToolMessage
import mlflow
from mlflow.langchain.chat_agent_langgraph import parse_message
from mlflow.types.agent import ChatAgentMessage
LC_TOOL_CALL_MSG = AIMessage(**{
"content": "",
"additional_kwargs": {
"tool_calls": [
... | 283 | 10,125 |
mlflow | tests/langgraph/conftest.py | .py | import importlib
import openai
import pytest
from tests.helper_functions import start_mock_openai_server
from tests.tracing.helper import reset_autolog_state # noqa: F401
@pytest.fixture(autouse=True)
def set_envs(monkeypatch, mock_openai):
monkeypatch.setenv("OPENAI_API_KEY", "test")
monkeypatch.setenv("O... | 28 | 722 |
mlflow | tests/langgraph/sample_code/langgraph_chat_agent_custom_inputs.py | .py | import json
import os
from typing import Any, Generator, Sequence
from uuid import uuid4
from langchain_core.language_models import LanguageModelLike
from langchain_core.messages import AIMessage, ToolCall
from langchain_core.outputs import ChatGeneration, ChatResult
from langchain_core.runnables import RunnableConfig... | 194 | 6,299 |
mlflow | tests/langgraph/sample_code/langgraph_with_custom_span.py | .py | from typing import Literal
from langchain_core.messages import AIMessage, ToolCall
from langchain_core.output_parsers import StrOutputParser
from langchain_core.outputs import ChatGeneration, ChatResult
from langchain_core.prompts import PromptTemplate
from langchain_core.tools import tool
from langchain_openai import... | 60 | 1,817 |
mlflow | tests/langgraph/sample_code/langgraph_chat_agent.py | .py | import json
import os
from typing import Any, Generator, Sequence
from langchain_core.language_models import LanguageModelLike
from langchain_core.messages import AIMessage, ToolCall
from langchain_core.outputs import ChatGeneration, ChatResult
from langchain_core.runnables import RunnableConfig, RunnableLambda
from l... | 152 | 4,670 |
mlflow | tests/langgraph/sample_code/langgraph_with_autolog.py | .py | from dataclasses import dataclass
from langchain.tools import tool
from langgraph.graph import END, StateGraph
import mlflow
mlflow.langchain.autolog()
@dataclass
class OverallState:
name: str = "LangChain" # add whatever fields you need
@tool
def my_tool():
"""
Called as the very first node.
Si... | 34 | 778 |
mlflow | tests/langgraph/sample_code/langgraph_diy.py | .py | # Sample code that contains custom python nodes
from typing import Annotated, Sequence, TypedDict
from langchain_core.messages import BaseMessage
from langchain_openai import ChatOpenAI
from langgraph.graph import END, START, StateGraph
from langgraph.graph.message import add_messages
import mlflow
def generate(sta... | 47 | 1,104 |
mlflow | tests/langgraph/sample_code/langgraph_prebuilt.py | .py | import itertools
from typing import Literal
from langchain_core.messages import AIMessage, ToolCall
from langchain_core.outputs import ChatGeneration, ChatResult
from langchain_core.tools import tool
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
import mlflow
class FakeOp... | 50 | 1,556 |
mlflow | tests/transformers/test_transformers_autolog.py | .py | import random
import numpy as np
import optuna
import pytest
import sklearn.cluster
import sklearn.datasets
import torch
import transformers
from datasets import load_dataset
from packaging.version import Version
from transformers import (
DistilBertForSequenceClassification,
DistilBertTokenizerFast,
Train... | 578 | 18,175 |
mlflow | tests/transformers/test_transformers_signature.py | .py | import json
import time
from unittest import mock
import pytest
from mlflow.models.signature import ModelSignature
from mlflow.transformers import _try_import_conversational_pipeline
from mlflow.transformers.signature import (
_TEXT2TEXT_SIGNATURE,
format_input_example_for_special_cases,
infer_or_get_defa... | 199 | 7,509 |
mlflow | tests/transformers/test_transformers_llm_inference_utils.py | .py | import uuid
from typing import Any, NamedTuple
from unittest import mock
import pandas as pd
import pytest
import torch
from mlflow.exceptions import MlflowException
from mlflow.models import infer_signature
from mlflow.transformers.llm_inference_utils import (
_get_default_task_for_llm_inference_task,
_get_f... | 314 | 10,571 |
mlflow | tests/transformers/version.py | .py | import transformers
from packaging.version import Version
transformers_version = Version(transformers.__version__)
IS_NEW_FEATURE_EXTRACTION_API = transformers_version >= Version("4.27.0")
IS_TRANSFORMERS_V5_OR_LATER = transformers_version.major >= 5
| 7 | 252 |
mlflow | tests/transformers/test_transformers_model_export.py | .py | import base64
import gc
import importlib.util
import json
import logging
import math
import os
import pathlib
import re
import shutil
import textwrap
from contextlib import contextmanager
from pathlib import Path
from unittest import mock
import huggingface_hub
import librosa
import numpy as np
import pandas as pd
imp... | 3,980 | 150,812 |
mlflow | tests/transformers/test_transformers_peft_model.py | .py | import importlib
import os
import re
import pytest
import transformers
import mlflow
from mlflow.exceptions import MlflowException
from mlflow.models import Model
from mlflow.transformers.flavor_config import FlavorKey
from mlflow.transformers.peft import get_peft_base_model, is_peft_model
from mlflow.utils.logging_u... | 272 | 9,252 |
mlflow | tests/transformers/helper.py | .py | import inspect
import logging
import sys
import transformers
from packaging.version import Version
from mlflow.transformers import _PEFT_PIPELINE_ERROR_MSG, _try_import_conversational_pipeline
from mlflow.utils.logging_utils import suppress_logs
from tests.helper_functions import flaky
from tests.transformers.versio... | 341 | 11,836 |
mlflow | tests/transformers/test_transformers_prompt_templating.py | .py | from unittest.mock import MagicMock
import pytest
import transformers
import yaml
from packaging.version import Version
import mlflow
from mlflow.exceptions import MlflowException
from mlflow.models.model import MLMODEL_FILE_NAME
from mlflow.transformers import _SUPPORTED_PROMPT_TEMPLATING_TASK_TYPES, _validate_promp... | 241 | 8,463 |
mlflow | tests/transformers/test_flavor_configs.py | .py | from unittest import mock
import pytest
from mlflow.exceptions import MlflowException
from mlflow.transformers import _build_pipeline_from_model_input
from mlflow.transformers.flavor_config import (
build_flavor_config,
update_flavor_conf_to_persist_pretrained_model,
)
from mlflow.transformers.torch_utils imp... | 187 | 7,225 |
mlflow | tests/transformers/conftest.py | .py | import pytest
from packaging.version import Version
from tests.transformers.helper import (
IS_TRANSFORMERS_V5_OR_LATER,
load_audio_classification_pipeline,
load_component_multi_modal,
load_conversational_pipeline,
load_custom_code_pipeline,
load_custom_components_pipeline,
load_feature_ext... | 183 | 4,842 |
mlflow | tests/prophet/test_prophet_model_export.py | .py | import json
import os
from datetime import date, datetime, timedelta
from pathlib import Path
from typing import Any, NamedTuple
from unittest import mock
import numpy as np
import pandas as pd
import prophet
import pytest
import yaml
from packaging.version import Version
from prophet import Prophet
import mlflow
imp... | 509 | 18,892 |
mlflow | tests/agno/test_agno_tracing.py | .py | import sys
from unittest.mock import MagicMock, patch
import agno
import pytest
from agno.agent import Agent
from agno.exceptions import ModelProviderError
from agno.models.anthropic import Claude
from agno.tools.function import Function, FunctionCall
from anthropic.types import Message, TextBlock, Usage
from opentele... | 422 | 15,467 |
mlflow | tests/agno/conftest.py | .py | import pytest
import mlflow
@pytest.fixture(autouse=True)
def _reset_mlflow():
from mlflow.utils.autologging_utils import AUTOLOGGING_INTEGRATIONS
for integ in AUTOLOGGING_INTEGRATIONS.values():
integ.clear()
mlflow.utils.import_hooks._post_import_hooks = {}
@pytest.fixture(autouse=True)
def m... | 18 | 396 |
mlflow | tests/onnx/test_onnx_model_export.py | .py | import logging
import os
from pathlib import Path
from unittest import mock
import numpy as np
import onnx
import onnxruntime as ort
import pandas as pd
import pytest
import torch
import torch.onnx
import yaml
from packaging.version import Version
from sklearn import datasets
from torch import nn
from torch.utils.data... | 946 | 36,592 |
mlflow | tests/models/test_container.py | .py | import os
from unittest import mock
import pytest
import yaml
from mlflow.models.container import _install_model_dependencies_to_env
from mlflow.utils import env_manager as em
def _create_model_artifact(model_path, dependencies, build_dependencies=None):
"""Helper to create a minimal model artifact for testing.... | 228 | 7,408 |
mlflow | tests/models/test_python_api.py | .py | import datetime
import json
import os
import sys
from unittest import mock
import numpy as np
import pandas as pd
import pytest
import scipy.sparse
import mlflow
from mlflow.exceptions import MlflowException
from mlflow.models.python_api import (
_CONTENT_TYPE_CSV,
_CONTENT_TYPE_JSON,
_serialize_input_dat... | 401 | 12,834 |
mlflow | tests/models/test_model_config.py | .py | import os
from unittest import mock
import pytest
from mlflow.exceptions import MlflowException
from mlflow.models import ModelConfig
dir_path = os.path.dirname(os.path.abspath(__file__))
VALID_CONFIG_PATH = os.path.join(dir_path, "configs/config.yaml")
VALID_CONFIG_PATH_2 = os.path.join(dir_path, "configs/config_2.... | 93 | 3,666 |
mlflow | tests/models/test_resources.py | .py | import pytest
from mlflow.models.resources import (
DEFAULT_API_VERSION,
DatabricksApp,
DatabricksFunction,
DatabricksGenieSpace,
DatabricksLakebase,
DatabricksServingEndpoint,
DatabricksSQLWarehouse,
DatabricksTable,
DatabricksUCConnection,
DatabricksVectorSearchIndex,
_Res... | 363 | 13,623 |
mlflow | tests/models/test_artifacts.py | .py | import json
import pathlib
import pickle
import numpy as np
import pandas as pd
import pytest
from matplotlib.figure import Figure
from mlflow.exceptions import MlflowException
from mlflow.models.evaluation.artifacts import (
CsvEvaluationArtifact,
ImageEvaluationArtifact,
JsonEvaluationArtifact,
Nump... | 132 | 4,935 |
mlflow | tests/models/test_signature.py | .py | import json
from dataclasses import asdict, dataclass
import numpy as np
import pandas as pd
import pydantic
import pyspark
import pytest
from sklearn.ensemble import RandomForestRegressor
import mlflow
from mlflow.exceptions import MlflowException
from mlflow.models import Model, ModelSignature, infer_signature, rag... | 387 | 13,706 |
mlflow | tests/models/test_pyfunc.py | .py | MLFLOW_VERSION = "1.0.0" # we expect this model to be bound to this mlflow version.
class PyFuncTestModel:
def __init__(self, check_version=True):
self._check_version = check_version
def predict(self, df):
from mlflow.version import VERSION
if self._check_version:
assert... | 19 | 473 |
mlflow | tests/models/test_model_input_examples.py | .py | import json
import math
from io import StringIO
from unittest import mock
import numpy as np
import pandas as pd
import pytest
import sklearn.linear_model as logreg_module
from scipy.sparse import csc_matrix, csr_matrix
from sklearn import datasets
from sklearn.base import BaseEstimator, ClassifierMixin
import mlflow... | 454 | 16,754 |
mlflow | tests/models/test_display_utils.py | .py | from pathlib import Path
from unittest import mock
import pytest
from mlflow.models import infer_signature
from mlflow.models.display_utils import (
_generate_agent_eval_recipe,
_should_render_agent_eval_template,
)
from mlflow.models.rag_signatures import StringResponse
from mlflow.types.llm import (
Cha... | 100 | 3,391 |
mlflow | tests/models/test_cli.py | .py | import json
import os
import re
import shutil
import subprocess
import sys
import warnings
from dataclasses import dataclass
from io import BytesIO, StringIO
from pathlib import Path
from unittest import mock
import numpy as np
import pandas as pd
import pytest
import sklearn
import sklearn.datasets
import sklearn.lin... | 1,045 | 35,512 |
mlflow | tests/models/test_model.py | .py | import json
import os
import pathlib
import time
import uuid
from datetime import date
from unittest import mock
import numpy as np
import pandas as pd
import pydantic
import pytest
import sklearn.datasets
import sklearn.linear_model
from packaging.version import Version
from scipy.sparse import csc_matrix
import mlf... | 787 | 29,835 |
mlflow | tests/models/test_utils.py | .py | import os
import random
from typing import Any, NamedTuple
from unittest import mock
import numpy as np
import pandas as pd
import pytest
import sklearn.linear_model as logreg_module
from sklearn import datasets
import mlflow
from mlflow import MlflowClient
from mlflow.entities.model_registry import ModelVersion
from... | 658 | 23,191 |
mlflow | tests/models/test_auth_policy.py | .py | from mlflow.models.auth_policy import AuthPolicy, SystemAuthPolicy, UserAuthPolicy
from mlflow.models.resources import (
DatabricksFunction,
DatabricksServingEndpoint,
DatabricksUCConnection,
DatabricksVectorSearchIndex,
)
def test_complete_auth_policy():
system_auth_policy = SystemAuthPolicy(
... | 121 | 4,075 |
mlflow | tests/models/test_wheeled_model.py | .py | import os
import random
import re
from io import BytesIO
from typing import Any, NamedTuple
from unittest import mock
import numpy as np
import pandas as pd
import pytest
import sklearn.linear_model as logreg_module
import yaml
from sklearn import datasets
import mlflow
import mlflow.pyfunc.scoring_server as pyfunc_s... | 509 | 18,751 |
mlflow | tests/models/test_dependencies_schema.py | .py | from unittest import mock
from mlflow.models import dependencies_schemas
from mlflow.models.dependencies_schemas import (
DependenciesSchemas,
DependenciesSchemasType,
RetrieverSchema,
_get_dependencies_schemas,
_get_retriever_schema,
set_retriever_schema,
)
def test_retriever_creation():
... | 287 | 9,199 |
mlflow | tests/projects/test_entry_point.py | .py | import os
from shlex import quote
from unittest import mock
import pytest
from mlflow.exceptions import ExecutionException
from mlflow.projects._project_spec import EntryPoint
from mlflow.utils.file_utils import TempDir, path_to_local_file_uri
from tests.projects.utils import TEST_PROJECT_DIR, load_project
def tes... | 263 | 10,751 |
mlflow | tests/projects/test_kubernetes.py | .py | from unittest import mock
import kubernetes
import pytest
import yaml
from kubernetes.config.config_exception import ConfigException
from mlflow.entities import RunStatus
from mlflow.exceptions import ExecutionException
from mlflow.projects import kubernetes as kb
def test_run_command_creation():
command = [
... | 359 | 13,313 |
mlflow | tests/projects/utils.py | .py | import filecmp
import logging
import os
import shutil
import pytest
from mlflow.entities import RunStatus
from mlflow.projects import _project_spec
from mlflow.utils.file_utils import TempDir, _copy_project
TEST_DIR = "tests"
TEST_PROJECT_DIR = os.path.abspath(os.path.join(TEST_DIR, "resources", "example_project"))
... | 81 | 2,853 |
mlflow | tests/projects/test_project_spec.py | .py | import os
import textwrap
import pytest
from mlflow.exceptions import ExecutionException
from mlflow.projects import _project_spec
from tests.projects.utils import load_project
def test_project_get_entry_point():
project = load_project()
entry_point = project.get_entry_point("greeter")
assert entry_poi... | 128 | 4,450 |
mlflow | tests/projects/test_databricks.py | .py | import filecmp
import json
import os
import shutil
from unittest import mock
import pytest
import mlflow
from mlflow import MlflowClient, cli
from mlflow.entities import RunStatus
from mlflow.environment_variables import MLFLOW_TRACKING_URI
from mlflow.exceptions import MlflowException
from mlflow.legacy_databricks_c... | 499 | 18,404 |
mlflow | tests/projects/test_projects_cli.py | .py | import hashlib
import json
import logging
import os
import shutil
from pathlib import Path
from unittest import mock
import pytest
from click.testing import CliRunner
from mlflow import MlflowClient, cli
from mlflow.utils import process
from mlflow.utils.environment import _PythonEnv
from mlflow.utils.virtualenv impo... | 245 | 8,369 |
mlflow | tests/projects/test_projects.py | .py | import json
import os
import shutil
import subprocess
import uuid
from unittest import mock
import git
import pytest
import yaml
import mlflow
from mlflow import MlflowClient
from mlflow.entities import RunStatus, SourceType, ViewType
from mlflow.environment_variables import MLFLOW_CONDA_CREATE_ENV_CMD, MLFLOW_CONDA_... | 549 | 19,035 |
mlflow | tests/projects/test_virtualenv_projects.py | .py | import os
from unittest import mock
import pytest
import mlflow
from mlflow.exceptions import MlflowException
from mlflow.utils.virtualenv import _create_virtualenv
from mlflow.utils.yaml_utils import read_yaml, write_yaml
from tests.projects.utils import (
TEST_VIRTUALENV_CONDA_PROJECT_DIR,
TEST_VIRTUALENV_... | 148 | 4,827 |
mlflow | tests/projects/test_docker_projects.py | .py | import os
from unittest import mock
import docker
import pytest
import mlflow
from mlflow import MlflowClient
from mlflow.entities import ViewType
from mlflow.environment_variables import MLFLOW_TRACKING_URI
from mlflow.exceptions import MlflowException
from mlflow.legacy_databricks_cli.configure.provider import Data... | 331 | 11,600 |
mlflow | tests/projects/test_utils.py | .py | import os
import tempfile
import threading
import zipfile
from http.server import BaseHTTPRequestHandler, HTTPServer
from typing import Generator
from unittest import mock
import git
import pytest
import mlflow
from mlflow.exceptions import ExecutionException, MlflowException
from mlflow.projects import _project_spec... | 276 | 10,245 |
mlflow | tests/projects/conftest.py | .py | import os
import shutil
import git
import pytest
from tests.projects.utils import GIT_PROJECT_BRANCH, TEST_PROJECT_DIR
@pytest.fixture
def local_git_repo(tmp_path):
local_git = str(tmp_path.joinpath("git_repo"))
repo = git.Repo.init(local_git)
shutil.copytree(src=TEST_PROJECT_DIR, dst=local_git, dirs_ex... | 25 | 657 |
mlflow | tests/projects/backend/test_loader.py | .py | from mlflow.projects.backend import loader
def test_plugin_backend():
backend = loader.load_backend("dummy-backend")
assert backend is not None
def test_plugin_does_not_exist():
backend = loader.load_backend("my_plugin")
assert backend is None
| 12 | 264 |
mlflow | tests/projects/backend/test_local.py | .py | import os
from unittest import mock
from mlflow.projects.backend.local import _get_docker_artifact_storage_cmd_and_envs
def test_docker_s3_artifact_cmd_and_envs_from_env(monkeypatch):
mock_env = {
"AWS_SECRET_ACCESS_KEY": "mock_secret",
"AWS_ACCESS_KEY_ID": "mock_access_key",
"MLFLOW_S3_E... | 91 | 3,355 |
mlflow | tests/db/test_workspace_migration.py | .py | import os
import re
from contextlib import contextmanager
import pytest
import sqlalchemy as sa
from alembic import command
from mlflow.store.db.utils import _get_alembic_config
from mlflow.store.tracking.dbmodels.initial_models import Base as InitialBase
_LEGACY_REGISTERED_MODEL_TAGS = sa.table(
"registered_mod... | 1,228 | 36,303 |
mlflow | tests/db/test_workspace_move.py | .py | import uuid
from pathlib import Path
from unittest import mock
import pytest
import sqlalchemy as sa
from mlflow.entities import ExperimentTag, TraceInfo
from mlflow.entities.model_registry import ModelVersionTag, RegisteredModelTag
from mlflow.entities.trace_location import TraceLocation
from mlflow.entities.trace_s... | 762 | 28,803 |
mlflow | tests/db/test_tracking_operations.py | .py | import sqlite3
import uuid
from unittest import mock
import pytest
import sqlalchemy.dialects.sqlite.pysqlite
import mlflow
from mlflow import MlflowClient
from mlflow.environment_variables import MLFLOW_TRACKING_URI
pytestmark = pytest.mark.notrackingurimock
class Model(mlflow.pyfunc.PythonModel):
def load_co... | 155 | 5,909 |
mlflow | tests/db/test_mcp_server_registry.py | .py | from pathlib import Path
import pytest
from mlflow.entities.mcp_server import MCPStatus
from mlflow.environment_variables import MLFLOW_TRACKING_URI
from mlflow.store.tracking.sqlalchemy_store import SqlAlchemyStore
pytestmark = pytest.mark.notrackingurimock
@pytest.fixture
def store(tmp_path: Path):
artifact_... | 161 | 5,343 |
mlflow | tests/db/test_schema.py | .py | import difflib
import logging
import re
from pathlib import Path
from typing import NamedTuple
import pytest
from sqlalchemy import create_engine, inspect
from sqlalchemy.schema import CreateTable, MetaData, UniqueConstraint
_logger = logging.getLogger(__name__)
_DIALECT_REFLECTED_UNIQUE_CONSTRAINTS = {
"mysql":... | 257 | 8,207 |
mlflow | tests/db/check_migration.py | .py | """
Usage
-----
export MLFLOW_TRACKING_URI=sqlite:///mlruns.db
# pre migration
python tests/db/check_migration.py pre-migration
# post migration
python tests/db/check_migration.py post-migration
"""
import os
import uuid
from pathlib import Path
import click
import pandas as pd
import sqlalchemy as sa
import mlflo... | 188 | 5,490 |
mlflow | tests/db/conftest.py | .py | import pytest
from mlflow.environment_variables import MLFLOW_TRACKING_URI
@pytest.fixture(autouse=True)
def use_sqlite_if_tracking_uri_env_var_is_not_set(tmp_path, monkeypatch):
if not MLFLOW_TRACKING_URI.defined:
sqlite_file = tmp_path / "mlruns.sqlite"
monkeypatch.setenv(MLFLOW_TRACKING_URI.na... | 11 | 352 |
mlflow | tests/types/test_type_hints.py | .py | import datetime
from typing import Any, Dict, List, Optional, Union, get_args
from unittest import mock
import numpy as np
import pandas as pd
import pydantic
import pytest
from scipy.sparse import csc_matrix, csr_matrix
from mlflow.exceptions import MlflowException
from mlflow.models.utils import PyFuncOutput, _enfo... | 510 | 18,021 |
mlflow | tests/types/test_genai_types.py | .py | import pytest
from pydantic import ValidationError
from mlflow.types.chat import ChatCompletionResponse
def test_instantiation_chat_completion():
response_structure = {
"id": "1",
"object": "1",
"created": 1,
"model": "model",
"choices": [
{
"in... | 91 | 3,043 |
mlflow | tests/types/test_schema.py | .py | import datetime
import json
import math
import re
from dataclasses import dataclass, field
from typing import Optional
import numpy as np
import pandas as pd
import pyspark
import pyspark.sql.types as T
import pytest
from scipy.sparse import csc_matrix, csr_matrix
from mlflow.exceptions import MlflowException
from ml... | 2,007 | 71,028 |
mlflow | tests/helpers/db_mocks.py | .py | from __future__ import annotations
from contextlib import contextmanager
from unittest import mock
def mock_get_managed_session_maker(*args, **kwargs):
@contextmanager
def _manager():
session = mock.MagicMock()
def _mock_query(*q_args, **q_kwargs):
query = mock.MagicMock()
... | 25 | 661 |
mlflow | tests/claude_code/test_config.py | .py | import json
import pytest
from mlflow.claude_code.config import (
MLFLOW_TRACING_ENABLED,
get_env_var,
get_tracing_status,
load_claude_config,
save_claude_config,
setup_environment_config,
)
@pytest.fixture
def temp_settings_path(tmp_path):
"""Provide a temporary settings.json path for t... | 334 | 11,671 |
mlflow | tests/claude_code/test_tracing.py | .py | import importlib
import json
import logging
from pathlib import Path
import pytest
from claude_agent_sdk.types import (
AssistantMessage,
ResultMessage,
TextBlock,
ToolResultBlock,
ToolUseBlock,
UserMessage,
)
import mlflow
import mlflow.claude_code.tracing as tracing_module
from mlflow.claude... | 906 | 30,720 |
mlflow | tests/claude_code/test_autolog.py | .py | import sys
from unittest.mock import MagicMock, patch
import pytest
from claude_agent_sdk.types import AssistantMessage, ResultMessage, TextBlock, UserMessage
import mlflow.anthropic
from mlflow.anthropic.autolog import patched_claude_sdk_init
def test_anthropic_autolog_without_claude_sdk():
sys.modules.pop("cl... | 138 | 4,426 |
mlflow | tests/claude_code/test_plugin.py | .py | import json
import subprocess
from unittest import mock
import click
import pytest
from mlflow.claude_code.plugin import disable_tracing_plugin, ensure_plugin_installed
def test_disable_tracing_plugin_removes_env_only(tmp_path):
settings_path = tmp_path / ".claude" / "settings.json"
settings_path.parent.mkd... | 50 | 1,753 |
mlflow | tests/claude_code/test_cli.py | .py | import json
from pathlib import Path
from unittest import mock
import pytest
from click.testing import CliRunner
from mlflow.claude_code.cli import commands
@pytest.fixture
def runner():
return CliRunner()
@pytest.fixture(autouse=True)
def _clear_mlflow_env(monkeypatch):
for name in (
"MLFLOW_TRAC... | 225 | 8,108 |
mlflow | tests/pmdarima/test_pmdarima_model_export.py | .py | import json
import os
from pathlib import Path
from unittest import mock
import numpy as np
import pandas as pd
import pmdarima
import pytest
import yaml
import mlflow.pmdarima
import mlflow.pyfunc.scoring_server as pyfunc_scoring_server
from mlflow import pyfunc
from mlflow.exceptions import MlflowException
from mlf... | 484 | 19,484 |
mlflow | tests/crewai/test_crewai_autolog.py | .py | import json
from unittest.mock import ANY, Mock, patch
import crewai
import pytest
from crewai import Agent, Crew, Task
from crewai.flow.flow import Flow, start
from crewai.tools import BaseTool
from packaging.version import Version
import mlflow
from mlflow.crewai.autolog import patched_class_call, patched_standalon... | 724 | 22,567 |
mlflow | tests/agent/test_prompt.py | .py | from __future__ import annotations
from pathlib import Path
import pytest
from mlflow.agent.agents import AGENTS
from mlflow.agent.setup.prompt import _render, build_prompt
def test_render_substitutes_placeholder():
assert _render("hello {{ name }}", name="world") == "hello world"
def test_render_accepts_no_... | 114 | 3,798 |
mlflow | tests/agent/test_cli.py | .py | from __future__ import annotations
import json
import subprocess
from pathlib import Path
from unittest import mock
import click
import pytest
from click.testing import CliRunner
from mlflow.agent.agents import AGENTS
from mlflow.agent.setup.cli import _git_root, _is_localhost_tracking_uri, setup
from mlflow.telemet... | 564 | 22,807 |
mlflow | tests/shap/test_log.py | .py | import json
from pathlib import Path
from unittest import mock
import numpy as np
import pandas as pd
import pytest
import shap
import sklearn
from numba import njit
from packaging.version import Version
from sklearn.datasets import load_diabetes
import mlflow
import mlflow.pyfunc.scoring_server as pyfunc_scoring_ser... | 515 | 18,036 |
mlflow | tests/shap/test_shap.py | .py | import os
from typing import Any, NamedTuple
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import pytest
import shap
from sklearn.datasets import load_diabetes, load_iris
from sklearn.ensemble import RandomForestClassifier, RandomForestRegressor
import mlflow
from mlflow import MlflowClient
f... | 265 | 9,075 |
mlflow | tests/autologging/test_autologging_safety_unit.py | .py | import abc
import copy
import inspect
from contextlib import nullcontext as does_not_raise
from typing import Any, NamedTuple
from unittest import mock
import pytest
import mlflow
from mlflow import MlflowClient
from mlflow.entities import RunStatus
from mlflow.utils import autologging_utils
from mlflow.utils.autolog... | 1,686 | 56,729 |
mlflow | tests/autologging/test_autologging_behaviors_unit.py | .py | import logging
import sys
import threading
import time
import warnings
from concurrent.futures import ThreadPoolExecutor
from io import StringIO
import numpy as np
import pytest
import mlflow
from mlflow.utils.autologging_utils import autologging_integration, safe_patch
from mlflow.utils.logging_utils import eprint
... | 352 | 13,139 |
mlflow | tests/autologging/fixtures.py | .py | import os
import sys
import pytest
from mlflow.environment_variables import _MLFLOW_AUTOLOGGING_TESTING
from mlflow.utils import logging_utils
from mlflow.utils.autologging_utils import is_testing
PATCH_DESTINATION_FN_DEFAULT_RESULT = "original_result"
# Fixture to run the test case with and without async logging ... | 118 | 3,324 |
mlflow | tests/autologging/test_training_session.py | .py | import pytest
from mlflow.utils.autologging_utils import _get_new_training_session_class
_TrainingSession = _get_new_training_session_class()
class Parent:
pass
class Child:
pass
class Grandchild:
pass
PARENT = Parent()
CHILD = Child()
GRAND_CHILD = Grandchild()
@pytest.fixture(autouse=True)
def... | 122 | 3,630 |
mlflow | tests/autologging/async_helper.py | .py | import asyncio
import inspect
from concurrent.futures import ThreadPoolExecutor
from mlflow.utils.autologging_utils.safety import update_wrapper_extended
def asyncify(is_async):
"""
Decorator that converts a function to an async function if `is_async` is True. This is useful
for testing purposes, where w... | 45 | 1,696 |
mlflow | tests/autologging/test_autologging_behaviors_integration.py | .py | import importlib
import logging
import sys
import warnings
from concurrent.futures import ThreadPoolExecutor
from io import StringIO
from itertools import permutations
from unittest import mock
import pytest
import mlflow
from mlflow import MlflowClient
from mlflow.utils import gorilla
from mlflow.utils.autologging_u... | 335 | 11,961 |
mlflow | tests/autologging/test_autologging_client.py | .py | import time
from unittest import mock
import pytest
import mlflow
from mlflow import MlflowClient
from mlflow.exceptions import MlflowException
from mlflow.utils import _truncate_dict
from mlflow.utils.autologging_utils import MlflowAutologgingQueueingClient
from mlflow.utils.validation import (
MAX_ENTITY_KEY_LE... | 272 | 10,603 |
mlflow | tests/autologging/test_autologging_utils.py | .py | import importlib
import inspect
import sys
import time
from typing import Any, NamedTuple
from unittest import mock
import pytest
import mlflow
from mlflow import MlflowClient
from mlflow.ml_package_versions import FLAVOR_TO_MODULE_NAME
from mlflow.utils import gorilla
from mlflow.utils.autologging_utils import (
... | 945 | 34,883 |
mlflow | tests/llama_index/test_llama_index_autolog.py | .py | from importlib import metadata
from unittest import mock
import pytest
from llama_index.core.chat_engine.types import ChatMode
from llama_index.core.instrumentation import get_dispatcher
from llama_index.core.instrumentation.event_handlers.base import BaseEventHandler
from llama_index.core.instrumentation.span_handler... | 388 | 12,937 |
mlflow | tests/llama_index/test_llama_index_pyfunc_wrapper.py | .py | import llama_index.core
import numpy as np
import pandas as pd
import pytest
from llama_index.core import QueryBundle
from llama_index.core.llms import ChatMessage
from packaging.version import Version
import mlflow
from mlflow.llama_index.pyfunc_wrapper import (
_CHAT_MESSAGE_HISTORY_PARAMETER_NAME,
CHAT_ENGI... | 324 | 10,712 |
mlflow | tests/llama_index/test_llama_index_node_conversion.py | .py | from llama_index.core.schema import NodeWithScore, TextNode
from mlflow.entities import Document
def test_from_llama_index_node_with_score():
text_node = TextNode(text="Hello", metadata={"key": "value"})
node_with_score = NodeWithScore(node=text_node, score=0.5)
document = Document.from_llama_index_node_... | 13 | 505 |
mlflow | tests/llama_index/test_llama_index_evaluate.py | .py | import pandas as pd
import pytest
import mlflow
from mlflow.metrics import latency
from mlflow.tracing.constant import TraceMetadataKey
from tests.openai.test_openai_evaluate import purge_traces
from tests.tracing.helper import get_traces, reset_autolog_state # noqa: F401
_EVAL_DATA = pd.DataFrame({
"inputs": [... | 113 | 3,552 |
mlflow | tests/llama_index/test_llama_index_serialization.py | .py | import json
from collections import Counter, deque
from unittest import mock
import pytest
from llama_index.core import PromptTemplate, Settings
from llama_index.embeddings.openai import OpenAIEmbedding
from llama_index.llms.openai import OpenAI
from mlflow.llama_index.serialize_objects import (
_construct_prompt... | 151 | 5,419 |
mlflow | tests/llama_index/test_llama_index_model_export.py | .py | import json
import os
from pathlib import Path
from typing import Any
from unittest import mock
import llama_index.core
import numpy as np
import pandas as pd
import pytest
from llama_index.core import QueryBundle, Settings, VectorStoreIndex
from llama_index.core.base.base_query_engine import BaseQueryEngine
from llam... | 603 | 21,559 |
mlflow | tests/llama_index/test_llama_index_tracer.py | .py | import asyncio
import base64
import inspect
import random
from dataclasses import asdict
from importlib import metadata
from pathlib import Path
from typing import Any
from unittest.mock import ANY
import llama_index.core
import openai
import pytest
from llama_index.core import Settings
from llama_index.core.base.resp... | 911 | 32,719 |
mlflow | tests/llama_index/conftest.py | .py | import os
import re
import shutil
import sys
import pytest
from llama_index.core import (
Document,
KnowledgeGraphIndex,
PromptTemplate,
Settings,
VectorStoreIndex,
)
from llama_index.core.callbacks import CallbackManager, LlamaDebugHandler
from llama_index.core.node_parser import SentenceSplitter
... | 120 | 3,315 |
mlflow | tests/llama_index/sample_code/with_model_config.py | .py | """
Sample code to define a chat engine and save it with model config (dictionary).
"""
from llama_index.core import Document, VectorStoreIndex
from llama_index.core.chat_engine.types import ChatMode
from llama_index.llms.openai import OpenAI
import mlflow
model_config = mlflow.models.ModelConfig()
model_name = mode... | 21 | 698 |
mlflow | tests/llama_index/sample_code/query_engine_with_reranker.py | .py | """
Sample code to define a query engine with post processors and save it with model-from-code logging.
Ref: https://qdrant.tech/documentation/quickstart/
"""
from llama_index.core import Document, QueryBundle, VectorStoreIndex
from llama_index.core.postprocessor import LLMRerank
from llama_index.core.postprocessor.t... | 42 | 1,093 |
mlflow | tests/llama_index/sample_code/basic_retriever.py | .py | from llama_index.core import Document, VectorStoreIndex
import mlflow
index = VectorStoreIndex.from_documents(documents=[Document.example()])
retriever = index.as_retriever()
mlflow.models.set_model(retriever)
| 9 | 213 |
mlflow | tests/llama_index/sample_code/external_vector_store.py | .py | """
Sample code to define an index using an external vector store (Faiss) for model-from-code logging.
Ref: https://qdrant.tech/documentation/quickstart/
"""
from llama_index.core import VectorStoreIndex
from llama_index.vector_stores.qdrant import QdrantVectorStore
from qdrant_client import QdrantClient
from qdrant_... | 37 | 1,078 |
mlflow | tests/llama_index/sample_code/basic_vector_store.py | .py | from llama_index.core import Document, VectorStoreIndex
import mlflow
index = VectorStoreIndex.from_documents(documents=[Document.example()])
mlflow.models.set_model(index)
| 8 | 176 |
mlflow | tests/llama_index/sample_code/basic_chat_engine.py | .py | """
Sample code to define a chat engine and save it with model-from-code logging.
Ref: https://qdrant.tech/documentation/quickstart/
"""
from llama_index.core import Document, VectorStoreIndex
from llama_index.core.chat_engine.types import ChatMode
import mlflow
index = VectorStoreIndex.from_documents(documents=[Do... | 17 | 506 |
mlflow | tests/llama_index/sample_code/with_model_config_yaml_file.py | .py | """
Sample code to define a chat engine and save it with model config (YAML file).
"""
from llama_index.core import Document, VectorStoreIndex
from llama_index.core.chat_engine.types import ChatMode
from llama_index.llms.openai import OpenAI
import mlflow
model_config = mlflow.models.ModelConfig(development_config="... | 22 | 768 |
mlflow | tests/llama_index/sample_code/simple_workflow.py | .py | from llama_index.core.workflow import (
Event,
StartEvent,
StopEvent,
Workflow,
step,
)
from llama_index.llms.openai import OpenAI
import mlflow
class JokeEvent(Event):
joke: str
class JokeFlow(Workflow):
llm = OpenAI()
@step
async def generate_joke(self, ev: StartEvent) -> Jok... | 38 | 860 |
mlflow | examples/johnsnowlabs/export.py | .py | import json
import os
import pandas as pd
from johnsnowlabs import nlp
import mlflow
from mlflow.pyfunc import spark_udf
# 1) Write your raw license.json string into the 'JOHNSNOWLABS_LICENSE_JSON' env variable for MLflow
creds = {
"AWS_ACCESS_KEY_ID": "...",
"AWS_SECRET_ACCESS_KEY": "...",
"SPARK_NLP_LI... | 53 | 1,596 |
mlflow | examples/spark_udf/structs_and_arrays.py | .py | from pyspark.sql import SparkSession
from pyspark.sql import types as T
import mlflow
class MyModel(mlflow.pyfunc.PythonModel):
def predict(self, context, model_input):
return [str(" | ".join(map(str, row))) for _, row in model_input.iterrows()]
def main():
with SparkSession.builder.getOrCreate() a... | 68 | 1,868 |
mlflow | examples/spark_udf/spark_udf_datetime.py | .py | import datetime
import random
from pyspark.sql import SparkSession
from sklearn.compose import ColumnTransformer
from sklearn.datasets import load_iris
from sklearn.neighbors import KNeighborsClassifier
from sklearn.pipeline import Pipeline
from sklearn.preprocessing import FunctionTransformer
import mlflow
def pri... | 68 | 2,221 |
mlflow | examples/spark_udf/spark_udf.py | .py | from pyspark.sql import SparkSession
from sklearn import datasets
from sklearn.neighbors import KNeighborsClassifier
import mlflow
from mlflow.models import infer_signature
with SparkSession.builder.getOrCreate() as spark:
X, y = datasets.load_iris(as_frame=True, return_X_y=True)
model = KNeighborsClassifier(... | 24 | 792 |
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