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/genai/scorers/phoenix/test_registry.py | .py | from unittest import mock
import pytest
from mlflow.exceptions import MlflowException
phoenix_evals = pytest.importorskip("phoenix.evals")
@pytest.mark.parametrize(
("metric_name", "evaluator_name"),
[
("Hallucination", "HallucinationEvaluator"),
("Relevance", "RelevanceEvaluator"),
... | 44 | 1,353 |
mlflow | tests/genai/scorers/phoenix/test_models.py | .py | from unittest.mock import Mock, patch
import pytest
from mlflow.exceptions import MlflowException
from mlflow.genai.scorers.phoenix.models import (
MlflowPhoenixModel,
create_phoenix_model,
)
@pytest.fixture
def mock_call_chat_completions():
with patch(
"mlflow.genai.judges.adapters.databricks_m... | 161 | 5,261 |
mlflow | tests/genai/scorers/phoenix/test_phoenix.py | .py | from unittest.mock import Mock, patch
import phoenix.evals as phoenix_evals
import pytest
from mlflow.entities.assessment import Feedback
from mlflow.entities.assessment_source import AssessmentSourceType
from mlflow.exceptions import MlflowException
from mlflow.genai.scorers.base import Scorer, ScorerKind
from mlflo... | 205 | 7,874 |
mlflow | tests/genai/scorers/phoenix/test_utils.py | .py | import json
import sys
import time
from unittest.mock import patch
import pytest
from opentelemetry.sdk.trace import ReadableSpan as OTelReadableSpan
from mlflow.entities.span import Span
from mlflow.entities.trace import Trace, TraceData, TraceInfo
from mlflow.entities.trace_location import TraceLocation
from mlflow... | 142 | 4,608 |
mlflow | tests/genai/scorers/online/test_sampler.py | .py | import json
import uuid
import pytest
from mlflow.genai.scorers.builtin_scorers import Completeness, ConversationCompleteness
from mlflow.genai.scorers.online.entities import OnlineScorer, OnlineScoringConfig
from mlflow.genai.scorers.online.sampler import OnlineScorerSampler
def make_online_scorer(
scorer,
... | 148 | 5,078 |
mlflow | tests/genai/scorers/online/test_trace_processor.py | .py | import json
import uuid
from unittest.mock import MagicMock, patch
import pytest
from mlflow.entities import Trace, TraceData, TraceInfo
from mlflow.genai.scorers.builtin_scorers import Completeness
from mlflow.genai.scorers.online.entities import OnlineScorer, OnlineScoringConfig
from mlflow.genai.scorers.online.sam... | 530 | 19,853 |
mlflow | tests/genai/scorers/online/test_session_processor.py | .py | import json
import uuid
from unittest.mock import MagicMock, patch
import pytest
from mlflow.entities import Trace, TraceData, TraceInfo
from mlflow.entities.assessment import Assessment
from mlflow.entities.trace_location import (
MlflowExperimentLocation,
TraceLocation,
TraceLocationType,
)
from mlflow.... | 726 | 27,472 |
mlflow | tests/genai/scorers/online/test_trace_checkpointer.py | .py | import time
from unittest.mock import MagicMock
import pytest
from mlflow.environment_variables import (
MLFLOW_ONLINE_SCORING_DEFAULT_TRACE_COMPLETION_BUFFER_SECONDS,
)
from mlflow.genai.scorers.online.constants import MAX_LOOKBACK_MS
from mlflow.genai.scorers.online.trace_checkpointer import (
OnlineTraceCh... | 236 | 8,953 |
mlflow | tests/genai/scorers/online/test_trace_loader.py | .py | from unittest.mock import MagicMock, patch
import pytest
from mlflow.entities import Trace, TraceInfo
from mlflow.genai.scorers.online.trace_loader import OnlineTraceLoader
from mlflow.tracing.constant import SpansLocation, TraceTagKey
@pytest.fixture
def mock_store():
return MagicMock()
@pytest.fixture
def t... | 249 | 8,414 |
mlflow | tests/genai/scorers/online/test_session_checkpointer.py | .py | import time
from unittest.mock import MagicMock
import pytest
from mlflow.environment_variables import (
MLFLOW_ONLINE_SCORING_DEFAULT_SESSION_COMPLETION_BUFFER_SECONDS,
)
from mlflow.genai.scorers.online.constants import MAX_LOOKBACK_MS
from mlflow.genai.scorers.online.session_checkpointer import (
OnlineSes... | 171 | 6,402 |
mlflow | tests/genai/scorers/guardrails/test_registry.py | .py | from unittest.mock import MagicMock, patch
import pytest
from mlflow.exceptions import MlflowException
from mlflow.genai.scorers.guardrails.registry import get_validator_class
@pytest.mark.parametrize(
("validator_name", "expected_class"),
[
("ToxicLanguage", "ToxicLanguage"),
("NSFWText", "... | 43 | 1,299 |
mlflow | tests/genai/scorers/guardrails/test_guardrails.py | .py | from unittest.mock import patch
import guardrails
import pytest
from guardrails import Validator, register_validator
from guardrails.classes.validation.validation_result import FailResult, PassResult
import mlflow
from mlflow.entities.assessment import Feedback
from mlflow.entities.assessment_source import Assessment... | 277 | 9,224 |
mlflow | tests/genai/scorers/guardrails/test_utils.py | .py | import sys
from unittest.mock import patch
import pytest
import mlflow
from mlflow.exceptions import MlflowException
from mlflow.genai.scorers.guardrails.utils import (
check_guardrails_installed,
map_scorer_inputs_to_text,
)
def _create_test_trace(inputs=None, outputs=None):
"""Create a test trace usin... | 67 | 1,953 |
mlflow | tests/genai/scorers/trulens/test_trulens.py | .py | from unittest.mock import Mock, patch
import pytest
import trulens # noqa: F401
from mlflow.entities.assessment import Feedback
from mlflow.entities.assessment_source import AssessmentSourceType
from mlflow.exceptions import MlflowException
from mlflow.genai.judges.utils import CategoricalRating
from mlflow.genai.sc... | 291 | 10,665 |
mlflow | tests/genai/scorers/trulens/test_registry.py | .py | import pytest
from mlflow.genai.scorers.trulens.registry import get_argument_mapping, get_feedback_method_name
@pytest.mark.parametrize(
("metric_name", "expected_method"),
[
("Groundedness", "groundedness_measure_with_cot_reasons"),
("ContextRelevance", "context_relevance_with_cot_reasons"),... | 41 | 1,491 |
mlflow | tests/genai/scorers/trulens/test_models.py | .py | import importlib
from unittest.mock import Mock, patch
import pytest
import trulens # noqa: F401
from mlflow.exceptions import MlflowException
from mlflow.genai.scorers.trulens.models import create_trulens_provider
@pytest.fixture
def mock_call_chat_completions():
with patch(
"mlflow.genai.judges.adapt... | 108 | 3,635 |
mlflow | tests/genai/scorers/trulens/test_utils.py | .py | import pytest
import mlflow
from mlflow.genai.scorers.trulens.utils import (
format_rationale,
map_scorer_inputs_to_trulens_args,
)
def _create_test_trace(
inputs: dict[str, str] | None = None,
outputs: dict[str, str] | None = None,
):
with mlflow.start_span() as span:
if inputs is not No... | 128 | 3,813 |
mlflow | tests/genai/scorers/trulens/scorers/test_agent_trace.py | .py | from unittest.mock import Mock, patch
import pytest
import trulens # noqa: F401
import mlflow
from mlflow.entities.assessment import Feedback
from mlflow.entities.assessment_source import AssessmentSourceType
from mlflow.entities.span import SpanType
from mlflow.exceptions import MlflowException
@pytest.fixture
de... | 156 | 5,488 |
mlflow | tests/genai/scorers/google_adk/test_google_adk.py | .py | from unittest.mock import Mock, patch
import pytest
import mlflow
from mlflow.entities.assessment import Feedback
from mlflow.entities.assessment_source import AssessmentSource, AssessmentSourceType
from mlflow.entities.span import SpanType
from mlflow.genai.judges.utils import CategoricalRating
from mlflow.genai.sco... | 929 | 31,241 |
mlflow | tests/genai/scorers/ragas/test_registry.py | .py | from unittest import mock
import pytest
from mlflow.exceptions import MlflowException
from mlflow.genai.scorers.ragas.registry import (
get_metric_class,
is_agentic_or_multiturn_metric,
requires_args_from_placeholders,
requires_embeddings,
requires_llm_at_score_time,
requires_llm_in_constructo... | 113 | 3,160 |
mlflow | tests/genai/scorers/ragas/test_models.py | .py | import sys
from unittest.mock import Mock, patch
import pytest
from pydantic import BaseModel
from mlflow.exceptions import MlflowException
from mlflow.genai.scorers.ragas.models import MlflowRagasLLM, create_ragas_model
class DummyResponseModel(BaseModel):
answer: str
score: int
@pytest.fixture(autouse=T... | 102 | 3,338 |
mlflow | tests/genai/scorers/ragas/test_ragas_scorer.py | .py | from unittest.mock import MagicMock, patch
import pytest
from pydantic import BaseModel
from ragas.embeddings.base import BaseRagasEmbedding
import mlflow
from mlflow.entities.assessment import Feedback
from mlflow.entities.assessment_source import AssessmentSourceType
from mlflow.exceptions import MlflowException
fr... | 531 | 17,588 |
mlflow | tests/genai/scorers/ragas/test_utils.py | .py | import pytest
from langchain_core.documents import Document
from ragas.dataset_schema import MultiTurnSample, SingleTurnSample
from ragas.messages import AIMessage, HumanMessage, ToolCall
import mlflow
from mlflow.entities.span import SpanType
from mlflow.genai.scorers.ragas.utils import (
create_mlflow_error_mess... | 249 | 8,297 |
mlflow | tests/genai/scorers/deepeval/test_registry.py | .py | from unittest import mock
import pytest
from mlflow.exceptions import MlflowException
from mlflow.genai.scorers.deepeval.registry import get_metric_class, is_deterministic_metric
def test_get_metric_class_returns_valid_class():
metric_class = get_metric_class("AnswerRelevancy")
assert metric_class.__name__ ... | 44 | 1,484 |
mlflow | tests/genai/scorers/deepeval/test_deepeval_scorer.py | .py | from unittest.mock import Mock, patch
import pydantic
import pytest
import mlflow
from mlflow.entities.assessment import Feedback
from mlflow.entities.assessment_source import AssessmentSourceType
from mlflow.exceptions import MlflowException
from mlflow.genai.judges.utils import CategoricalRating
from mlflow.genai.s... | 556 | 19,770 |
mlflow | tests/genai/scorers/deepeval/test_models.py | .py | from unittest.mock import Mock, patch
import pytest
from mlflow.genai.scorers.deepeval.models import MlflowDeepEvalLLM, create_deepeval_model
@pytest.fixture
def mock_call_chat_completions():
with patch(
"mlflow.genai.judges.adapters.databricks_managed_judge_adapter.call_chat_completions",
) as mock... | 94 | 3,421 |
mlflow | tests/genai/scorers/deepeval/test_utils.py | .py | from unittest.mock import Mock
import pytest
from mlflow.entities.span import Span, SpanAttributeKey, SpanType
from mlflow.exceptions import MlflowException
from mlflow.genai.scorers.deepeval.models import create_deepeval_model
from mlflow.genai.scorers.deepeval.utils import (
_convert_to_deepeval_tool_calls,
... | 143 | 4,673 |
mlflow | tests/genai/prompts/test_prompts.py | .py | import json
import threading
import time
from concurrent.futures import ThreadPoolExecutor
from unittest import mock
import jinja2
import pytest
from pydantic import BaseModel, ValidationError
import mlflow
from mlflow import MlflowClient
from mlflow.entities.model_registry import PromptModelConfig, PromptVersion
fro... | 2,098 | 75,531 |
mlflow | tests/genai/datasets/test_fluent.py | .py | import json
import os
import sys
import warnings
from types import SimpleNamespace
from unittest import mock
import pandas as pd
import pytest
import mlflow
from mlflow.data import Dataset
from mlflow.data.pyfunc_dataset_mixin import PyFuncConvertibleDatasetMixin
from mlflow.entities.dataset_record_source import Data... | 2,369 | 79,667 |
mlflow | tests/genai/datasets/test_evaluation_dataset.py | .py | import json
from datetime import datetime, timezone
from types import SimpleNamespace
from typing import Any
from unittest.mock import Mock
import pandas as pd
import pytest
from mlflow.data.dataset_source_registry import (
get_dataset_source_from_json,
register_dataset_source,
)
from mlflow.data.spark_datase... | 316 | 11,652 |
mlflow | tests/genai/datasets/test_databricks_evaluation_dataset_source.py | .py | import json
import pytest
from mlflow.genai.datasets.databricks_evaluation_dataset_source import (
DatabricksEvaluationDatasetSource,
)
def test_databricks_evaluation_dataset_source_init():
source = DatabricksEvaluationDatasetSource(
table_name="catalog.schema.table", dataset_id="12345"
)
as... | 105 | 3,469 |
mlflow | tests/genai/label_schemas/test_label_schemas.py | .py | import dataclasses
from contextlib import contextmanager
from unittest.mock import MagicMock, patch
import pytest
from mlflow.genai import label_schemas
from mlflow.genai.label_schemas import (
EXPECTED_FACTS,
EXPECTED_RESPONSE,
GUIDELINES,
InputCategorical,
InputCategoricalList,
InputNumeric,... | 791 | 25,546 |
mlflow | tests/genai/label_schemas/test_label_schemas_oss.py | .py | from unittest.mock import patch
import pytest
from mlflow.exceptions import MlflowException
from mlflow.genai.label_schemas import (
InputCategorical,
InputPassFail,
LabelSchema,
LabelSchemaType,
create_label_schema,
delete_label_schema,
get_label_schema,
list_label_schemas,
update... | 153 | 5,608 |
mlflow | tests/genai/utils/test_llm_utils.py | .py | from unittest import mock
import pydantic
import pytest
from mlflow.genai.utils.gateway_utils import GatewayLiteLLMConfig
from mlflow.genai.utils.llm_utils import (
_call_llm,
_call_llm_via_gateway,
_fetch_model_cost,
_lookup_model_cost,
_ModelCost,
_resolve_model_for_gateway,
_TokenCounte... | 473 | 16,764 |
mlflow | tests/genai/utils/test_message_utils.py | .py | from enum import Enum
import pydantic
import pytest
from mlflow.genai.utils.message_utils import (
_enforce_strict_json_schema,
pydantic_to_response_format,
serialize_messages_to_prompts,
)
from mlflow.types.llm import ChatMessage, FunctionToolCallArguments, ToolCall
@pytest.mark.parametrize(
("mess... | 289 | 9,820 |
mlflow | tests/genai/utils/test_display_utils.py | .py | from unittest import mock
import mlflow
from mlflow.genai.utils import display_utils
from mlflow.store.tracking.rest_store import RestStore
from mlflow.tracking.client import MlflowClient
from mlflow.utils.mlflow_tags import MLFLOW_DATABRICKS_WORKSPACE_URL
def test_display_outputs_jupyter(monkeypatch):
mock_stor... | 81 | 3,188 |
mlflow | tests/genai/utils/test_trace_utils.py | .py | import asyncio
import json
from collections import OrderedDict
from typing import Any
from unittest import mock
import httpx
import numpy as np
import openai
import pandas as pd
import pytest
from opentelemetry.sdk.trace import ReadableSpan as OTelReadableSpan
import mlflow
from mlflow.entities.assessment import Expe... | 1,754 | 58,625 |
mlflow | tests/genai/utils/test_gateway_utils.py | .py | import base64
from unittest import mock
import pytest
from mlflow.exceptions import MlflowException
from mlflow.genai.utils.gateway_utils import GatewayLiteLLMConfig, get_gateway_litellm_config
from mlflow.utils.credentials import MlflowCreds
GATEWAY_URI = "http://localhost:5000"
@pytest.fixture
def gateway_env(mo... | 121 | 4,010 |
mlflow | tests/genai/utils/test_prompt_cache.py | .py | import threading
import time
import pytest
from mlflow.prompt.registry_utils import PromptCache, PromptCacheKey
@pytest.fixture(autouse=True)
def reset_cache():
"""Reset the prompt cache before and after each test."""
PromptCache._reset_instance()
yield
PromptCache._reset_instance()
def test_singl... | 204 | 5,798 |
mlflow | tests/genai/utils/test_data_validation.py | .py | import pytest
import mlflow
from mlflow.exceptions import MlflowException
from mlflow.genai.utils.data_validation import check_model_prediction
from tests.tracing.helper import get_traces
def _extract_code_example(e: MlflowException) -> str:
"""Extract the code example from the exception message."""
return ... | 202 | 6,041 |
mlflow | tests/genai/optimize/test_optimize.py | .py | import json
from typing import Any
import pandas as pd
import pytest
import mlflow
from mlflow.entities.model_registry import PromptModelConfig
from mlflow.exceptions import MlflowException
from mlflow.genai.datasets import create_dataset
from mlflow.genai.optimize.optimize import _deserialize_chat_template, optimize... | 656 | 24,378 |
mlflow | tests/genai/optimize/test_util.py | .py | from typing import Any, Union
import pytest
from pydantic import BaseModel
from mlflow.entities.assessment import Feedback
from mlflow.exceptions import MlflowException
from mlflow.genai.judges import CategoricalRating
from mlflow.genai.optimize.util import (
create_metric_from_scorers,
infer_type_from_value,... | 224 | 6,850 |
mlflow | tests/genai/optimize/test_job.py | .py | import sys
from unittest import mock
import pytest
import mlflow
from mlflow.exceptions import MlflowException
from mlflow.genai.optimize.job import (
OptimizerType,
_build_predict_fn,
_create_optimizer,
_load_scorers,
optimize_prompts_job,
)
from mlflow.genai.optimize.optimizers import GepaPrompt... | 318 | 12,006 |
mlflow | tests/genai/optimize/optimizers/test_metaprompt_optimizer.py | .py | import json
from typing import Any
from unittest.mock import Mock, patch
import pytest
from mlflow.exceptions import MlflowException
from mlflow.genai.optimize.optimizers.metaprompt_optimizer import MetaPromptOptimizer
from mlflow.genai.optimize.types import EvaluationResultRecord, PromptOptimizerOutput
_CALL_LLM = ... | 523 | 19,286 |
mlflow | tests/genai/optimize/optimizers/test_gepa_optimizer.py | .py | import json
import sys
from pathlib import Path
from typing import Any
from unittest.mock import MagicMock, Mock, patch
import pytest
import mlflow
from mlflow.genai.optimize.optimizers.gepa_optimizer import GepaPromptOptimizer
from mlflow.genai.optimize.types import EvaluationResultRecord, PromptOptimizerOutput
@p... | 662 | 23,380 |
mlflow | tests/genai/review_queues/test_review_queues_entity.py | .py | import pytest
from mlflow.exceptions import MlflowException
from mlflow.genai.review_queues import (
ReviewItemType,
ReviewQueue,
ReviewQueueItem,
ReviewQueueType,
ReviewStatus,
)
from mlflow.protos import review_queues_pb2 as pb
@pytest.mark.parametrize(
("enum_cls", "member", "proto_value")... | 140 | 3,981 |
mlflow | tests/genai/review_queues/test_review_queues_sdk.py | .py | from unittest.mock import patch
import pytest
import mlflow
from mlflow.exceptions import MlflowException
from mlflow.genai.review_queues import (
ReviewItemType,
ReviewQueue,
ReviewQueueItem,
ReviewQueueType,
ReviewStatus,
add_items_to_review_queue,
create_review_queue,
delete_review_... | 213 | 7,591 |
mlflow | tests/genai/labeling/test_labeling.py | .py | from mlflow.genai import labeling
from mlflow.genai.labeling import (
Agent,
LabelingSession,
ReviewApp,
create_labeling_session,
delete_labeling_session,
get_labeling_session,
get_labeling_sessions,
get_review_app,
)
from tests.genai.conftest import databricks_only
@databricks_only
d... | 26 | 825 |
mlflow | tests/genai/discovery/test_extraction.py | .py | from unittest import mock
import pytest
import mlflow
from mlflow.entities.assessment_source import AssessmentSource, AssessmentSourceType
from mlflow.genai.discovery.entities import _ConversationAnalysis
from mlflow.genai.discovery.extraction import (
collect_session_rationales,
extract_assessment_rationale,... | 264 | 8,681 |
mlflow | tests/genai/discovery/test_pipeline.py | .py | import json
from unittest.mock import MagicMock, patch
import pytest
import mlflow
from mlflow.entities.assessment import Feedback
from mlflow.entities.assessment_source import AssessmentSource, AssessmentSourceType
from mlflow.genai.discovery.clustering import recluster_singletons
from mlflow.genai.discovery.constan... | 1,292 | 43,343 |
mlflow | tests/genai/discovery/test_clustering.py | .py | import json
from unittest.mock import MagicMock, patch
from mlflow.entities.issue import IssueSeverity, IssueStatus
from mlflow.genai.discovery.clustering import (
cluster_by_llm,
summarize_cluster,
)
from mlflow.genai.discovery.constants import build_cluster_summary_prompt
from mlflow.genai.discovery.entities... | 194 | 5,985 |
mlflow | tests/genai/discovery/test_sampling.py | .py | from unittest.mock import patch
from mlflow.genai.discovery.sampling import sample_traces
from mlflow.genai.discovery.utils import group_traces_by_session
# ---- sample_traces ----
def test_sample_traces_no_sessions(make_trace):
traces = [make_trace() for _ in range(20)]
search_kwargs = {"filter_string": No... | 101 | 3,020 |
mlflow | tests/genai/discovery/test_utils.py | .py | import time
from unittest import mock
import pytest
from mlflow.entities.issue import Issue, IssueStatus
from mlflow.entities.trace import Trace
from mlflow.entities.trace_data import TraceData
from mlflow.entities.trace_info import TraceInfo
from mlflow.entities.trace_location import TraceLocation
from mlflow.entiti... | 377 | 12,016 |
mlflow | tests/genai/discovery/test_job.py | .py | from unittest import mock
import pytest
from mlflow.entities.run_status import RunStatus
from mlflow.exceptions import MlflowException
from mlflow.genai.discovery.job import (
_fetch_provider_credentials,
invoke_issue_detection_job,
)
@pytest.mark.parametrize(
("provider", "secret_value", "auth_config",... | 260 | 10,318 |
mlflow | tests/genai/discovery/conftest.py | .py | import pytest
import mlflow
from mlflow.entities.span import SpanType
from mlflow.entities.trace import Trace
from mlflow.entities.trace_info import TraceInfo
from mlflow.genai.scorers.base import Scorer
class _TestScorer(Scorer):
"""Minimal Scorer subclass for use in discovery pipeline tests."""
def __call... | 77 | 2,309 |
mlflow | tests/statsmodels/test_statsmodels_autolog.py | .py | from unittest import mock
import numpy as np
import pytest
from statsmodels.tsa.base.tsa_model import TimeSeriesModel
import mlflow
import mlflow.statsmodels
from mlflow import MlflowClient
from tests.statsmodels.model_fixtures import (
arma_model,
failing_logit_model,
gee_model,
glm_model,
gls_m... | 239 | 7,735 |
mlflow | tests/statsmodels/test_statsmodels_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 pytest
import yaml
import mlflow.pyfunc.scoring_server as pyfunc_scoring_server
import mlflow.statsmodels
from mlflow import pyfunc
from mlflow.exceptions import MlflowException
from mlflow.models im... | 485 | 17,982 |
mlflow | tests/statsmodels/model_fixtures.py | .py | from typing import Any, NamedTuple
import numpy as np
import pandas as pd
import statsmodels.api as sm
from scipy.linalg import toeplitz
from statsmodels.tsa.arima.model import ARIMA
from statsmodels.tsa.arima_process import arma_generate_sample
from mlflow.models import ModelSignature
from mlflow.types.schema import... | 238 | 7,568 |
mlflow | tests/rfunc/test_backend.py | .py | from unittest import mock
import pytest
from mlflow.rfunc.backend import RFuncBackend, _r_quote
@pytest.mark.parametrize(
("value", "expected"),
[
("localhost", "'localhost'"),
("0.0.0.0", "'0.0.0.0'"),
("foo bar", "'foo bar'"),
("it's", "'it\\'s'"),
("back\\slash", "... | 79 | 2,551 |
mlflow | tests/spark/test_spark_model_export.py | .py | import inspect
import json
import logging
import os
from pathlib import Path
from typing import Any, NamedTuple
from unittest import mock
import numpy as np
import pandas as pd
import pyspark
import pytest
import yaml
from packaging.version import Version
from pyspark.ml.classification import LogisticRegression
from p... | 1,086 | 42,959 |
mlflow | tests/spark/test_spark_autologging_stop.py | .py | import logging
import threading
import time
from unittest.mock import MagicMock, patch
import pytest
import mlflow.spark.autologging as autologging_module
from mlflow.spark.autologging import _stop_listen_for_spark_activity
@pytest.fixture
def autolog_caplog(caplog):
# "mlflow" sets propagate=False, so its reco... | 107 | 3,690 |
mlflow | tests/spark/test_sparkml_param_integration.py | .py | from pyspark.ml.param import Param as SparkMLParam
from pyspark.ml.util import Identifiable
from mlflow.entities import Param
def test_spark_integration():
key = SparkMLParam(Identifiable(), "name", "doc")
value = 123
param = Param(key, value)
assert param.key == "name"
assert param.value == "123... | 13 | 322 |
mlflow | tests/spark/test_spark_connect_model_export.py | .py | import json
import os
from unittest import mock
import numpy as np
import pandas as pd
import pyspark
import pytest
from packaging.version import Version
from pyspark.sql import SparkSession
from pyspark.sql import functions as F
from pyspark.sql.types import LongType
from sklearn import datasets
import mlflow
import... | 162 | 5,719 |
mlflow | tests/spark/autologging/utils.py | .py | import os
import pyspark
from packaging.version import Version
from pyspark.sql import SparkSession
import mlflow
from mlflow.spark.autologging import _SPARK_TABLE_INFO_TAG_NAME
def _get_mlflow_spark_jar_path():
spark_dir = "spark_2.13" if Version(pyspark.__version__).major >= 4 else "spark_2.12"
jar_dir = ... | 43 | 1,566 |
mlflow | tests/spark/autologging/datasource/test_spark_datasource_autologging_missing_jar.py | .py | import pytest
import mlflow.spark
from mlflow.exceptions import MlflowException
from tests.spark.autologging.utils import _get_or_create_spark_session
def test_enabling_autologging_throws_for_missing_jar():
with _get_or_create_spark_session(jars=""):
with pytest.raises(MlflowException, match="ensure you... | 13 | 394 |
mlflow | tests/spark/autologging/datasource/test_autologging_behavior_without_spark_session.py | .py | import mlflow
def test_enabling_autologging_does_not_throw_when_spark_hasnt_been_started():
from pyspark.sql import SparkSession
assert SparkSession.getActiveSession() is None
mlflow.spark.autolog(disable=True)
| 10 | 227 |
mlflow | tests/spark/autologging/datasource/test_spark_datasource_autologging_crossframework.py | .py | import time
import numpy as np
import pytest
from sklearn.linear_model import LinearRegression
import mlflow
import mlflow.spark
from tests.spark.autologging.utils import _assert_spark_data_logged
@pytest.fixture
def http_tracking_uri_mock():
mlflow.set_tracking_uri("http://some-cool-uri")
yield
mlflow... | 121 | 3,836 |
mlflow | tests/spark/autologging/datasource/test_spark_disable_autologging.py | .py | import time
import mlflow
import mlflow.spark
from tests.spark.autologging.utils import (
_assert_spark_data_logged,
_assert_spark_data_not_logged,
)
# Note that the following tests run one-after-the-other and operate on the SAME spark_session
# (it is not reset between tests)
def test_autologging_disabl... | 100 | 2,955 |
mlflow | tests/spark/autologging/datasource/test_spark_datasource_autologging.py | .py | import time
from unittest import mock
from pyspark.sql import Row
from pyspark.sql.types import IntegerType, StructField, StructType
import mlflow
import mlflow.spark
from mlflow.spark.autologging import _SPARK_TABLE_INFO_TAG_NAME
from mlflow.utils.validation import MAX_TAG_VAL_LENGTH
from tests.spark.autologging.ut... | 287 | 10,882 |
mlflow | tests/spark/autologging/datasource/test_spark_datasource_autologging_unit.py | .py | from unittest import mock
import pytest
import mlflow.spark
from mlflow.exceptions import MlflowException
from mlflow.spark.autologging import PythonSubscriber, _get_current_listener
@pytest.fixture
def mock_get_current_listener():
with mock.patch(
"mlflow.spark.autologging._get_current_listener", retur... | 61 | 2,114 |
mlflow | tests/spark/autologging/datasource/test_spark_datasource_autologging_order.py | .py | import os
import time
import pytest
from pyspark.sql import Row
from pyspark.sql.types import IntegerType, StructField, StructType
import mlflow
import mlflow.spark
from tests.spark.autologging.utils import (
_assert_spark_data_logged,
_assert_spark_data_not_logged,
_get_or_create_spark_session,
)
@pyt... | 49 | 1,481 |
mlflow | tests/spark/autologging/datasource/conftest.py | .py | import os
import tempfile
import pytest
from pyspark.sql import Row
from pyspark.sql.types import IntegerType, StringType, StructField, StructType
from mlflow.spark.autologging import clear_table_infos
from tests.spark.autologging.utils import _get_or_create_spark_session
# Module-scoped version of pytest monkeypa... | 78 | 2,661 |
mlflow | tests/spark/autologging/ml/test_pyspark_ml_autologging_custom_allowlist.py | .py | import os
from pyspark.sql import SparkSession
import mlflow
# Put this test in separate module because it require a spark context
# with a special conf and the conf is immutable in runtime.
def test_custom_log_model_allowlist(tmp_path):
allowlist_file_path = os.path.join(tmp_path, "allowlist")
with open(al... | 88 | 3,808 |
mlflow | tests/spark/autologging/ml/test_pyspark_ml_autologging.py | .py | import importlib
import json
import math
import pathlib
from typing import Any, NamedTuple
from unittest import mock
import numpy as np
import pandas as pd
import pyspark
import pytest
import yaml
from packaging.version import Version
from pyspark.ml import Pipeline
from pyspark.ml.classification import (
LinearSV... | 1,351 | 52,120 |
mlflow | tests/pyfunc/test_backward_compatibility.py | .py | import pytest
import mlflow
@pytest.mark.parametrize("version", ["2.7.1", "2.8.1"])
def test_backward_compatibility(version):
model = mlflow.pyfunc.load_model(f"tests/resources/pyfunc_models/{version}")
assert model.predict("MLflow is great!") == "MLflow is great!"
| 10 | 277 |
mlflow | tests/pyfunc/test_dependencies_functions.py | .py | from pathlib import Path
from unittest import mock
import pytest
import sklearn
from sklearn.linear_model import LinearRegression
import mlflow.utils.requirements_utils
from mlflow.exceptions import MlflowException
from mlflow.pyfunc import get_model_dependencies
from mlflow.utils import PYTHON_VERSION
def test_get... | 140 | 4,313 |
mlflow | tests/pyfunc/test_pyfunc_model_with_type_hints.py | .py | import datetime
import json
import os
import subprocess
import sys
from typing import Any, Dict, List, NamedTuple, Optional, Union
from unittest import mock
import pandas as pd
import pydantic
import pytest
from pyspark.sql import SparkSession
from pyspark.sql.types import (
ArrayType,
IntegerType,
MapType... | 1,153 | 42,741 |
mlflow | tests/pyfunc/utils.py | .py | import json
import os
from typing import TYPE_CHECKING
from fastapi.testclient import TestClient
import mlflow
from mlflow.pyfunc import scoring_server
if TYPE_CHECKING:
import httpx
def score_model_in_process(model_uri: str, data: str, content_type: str) -> "httpx.Response":
"""Score a model using in-proc... | 40 | 1,381 |
mlflow | tests/pyfunc/test_chat_agent.py | .py | import json
from typing import Any
from uuid import uuid4
import pydantic
import pytest
import mlflow
from mlflow.exceptions import MlflowException
from mlflow.models.model import Model
from mlflow.models.signature import ModelSignature
from mlflow.models.utils import load_serving_example
from mlflow.pyfunc.loaders.c... | 471 | 17,282 |
mlflow | tests/pyfunc/test_pyfunc_input_converter.py | .py | from dataclasses import asdict, dataclass
from typing import Optional
import pandas as pd
import pytest
from mlflow.models.rag_signatures import ChatCompletionRequest
from mlflow.pyfunc.utils.input_converter import _hydrate_dataclass
def test_hydrate_dataclass_input_no_dataclass():
# Define a class that is not ... | 90 | 2,529 |
mlflow | tests/pyfunc/test_model_export_with_loader_module_and_data_path.py | .py | import os
import pickle
import types
from unittest import mock
import cloudpickle
import numpy as np
import pytest
import sklearn.datasets
import sklearn.neighbors
import yaml
import mlflow
import mlflow.pyfunc
from mlflow.exceptions import MlflowException
from mlflow.models import Model, infer_signature
from mlflow.... | 369 | 12,659 |
mlflow | tests/pyfunc/test_virtualenv.py | .py | import os
import sys
from io import BytesIO
from stat import S_IRGRP, S_IROTH, S_IRUSR, S_IXGRP, S_IXOTH, S_IXUSR
from typing import NamedTuple
import numpy as np
import pandas as pd
import pytest
import sklearn
from sklearn.datasets import load_iris
from sklearn.linear_model import LogisticRegression
import mlflow
f... | 232 | 8,129 |
mlflow | tests/pyfunc/test_pyfunc_class_methods.py | .py | import mlflow
from mlflow.pyfunc import PythonModel, load_model, log_model
def test_unwrap_python_model_from_pyfunc_class():
class MyModel(PythonModel):
def __init__(self, param_1: str, param_2: int):
self.param_1 = param_1
self.param_2 = param_2
def predict(self, context,... | 26 | 958 |
mlflow | tests/pyfunc/test_pyfunc_exceptions.py | .py | import pytest
import mlflow
from mlflow.exceptions import MlflowException
class UnpicklableModel(mlflow.pyfunc.PythonModel):
def __init__(self, path):
with open(path, "w+") as f:
pass
self.not_a_file = f
def test_pyfunc_unpicklable_exception(tmp_path):
model = UnpicklableModel(... | 23 | 579 |
mlflow | tests/pyfunc/test_inferred_code_path.py | .py | import os
import pickle
import numpy as np
import pytest
import sklearn.datasets
import sklearn.neighbors
import mlflow
from mlflow.models import Model
@pytest.fixture
def model_path(tmp_path):
return tmp_path / "model"
@pytest.fixture(scope="module")
def iris_data():
iris = sklearn.datasets.load_iris()
... | 150 | 4,553 |
mlflow | tests/pyfunc/test_pyfunc_schema_enforcement_pyspark.py | .py | from datetime import datetime
import pytest
from pyspark.sql import Row, SparkSession
from pyspark.sql.types import (
ArrayType,
BinaryType,
BooleanType,
DateType,
DoubleType,
FloatType,
IntegerType,
LongType,
ShortType,
StringType,
StructField,
StructType,
Timestamp... | 338 | 10,510 |
mlflow | tests/pyfunc/test_spark.py | .py | import datetime
import os
import random
import shutil
import subprocess
import sys
import threading
import time
from pathlib import Path
from typing import Any, Iterator, NamedTuple
from unittest import mock
import cloudpickle
import numpy as np
import pandas as pd
import pyspark
import pytest
from packaging.version i... | 1,779 | 64,229 |
mlflow | tests/pyfunc/test_responses_agent_validation.py | .py | import pytest
from pydantic import ValidationError
from mlflow.types.responses import (
ResponsesAgentRequest,
ResponsesAgentResponse,
ResponsesAgentStreamEvent,
responses_to_cc,
to_chat_completions_input,
)
from mlflow.types.responses_helpers import FunctionCallOutput, Message
def test_responses... | 233 | 7,521 |
mlflow | tests/pyfunc/test_uv_model_logging.py | .py | import platform
import shutil
import subprocess
import sys
from pathlib import Path
from unittest import mock
import pytest
import mlflow
import mlflow.pyfunc
from mlflow.utils.os import is_windows
from mlflow.utils.uv_utils import (
_PYPROJECT_FILE,
_PYTHON_VERSION_FILE,
_UV_LOCK_FILE,
is_uv_availabl... | 504 | 16,338 |
mlflow | tests/pyfunc/test_scoring_server.py | .py | import json
import math
import os
import random
import signal
from io import BytesIO, StringIO
from typing import Any, NamedTuple
import keras
import numpy as np
import pandas as pd
import pydantic
import pytest
import sklearn.linear_model as logreg_module
from packaging.version import Version
from sklearn import data... | 1,133 | 41,049 |
mlflow | tests/pyfunc/test_logged_models.py | .py | import json
import os
from concurrent.futures import ThreadPoolExecutor
import pytest
import mlflow
from mlflow.entities.logged_model_status import LoggedModelStatus
from mlflow.exceptions import MlflowException
from mlflow.models import Model
from mlflow.tracing.constant import TraceMetadataKey
from mlflow.utils.mlf... | 158 | 6,171 |
mlflow | tests/pyfunc/test_responses_agent.py | .py | import functools
import pathlib
import pickle
from typing import Generator
from uuid import uuid4
import pytest
import mlflow
from mlflow.entities.span import SpanType
from mlflow.exceptions import MlflowException
from mlflow.models.signature import ModelSignature
from mlflow.pyfunc.loaders.responses_agent import _Re... | 1,491 | 56,626 |
mlflow | tests/pyfunc/test_model_export_with_class_and_artifacts.py | .py | from __future__ import annotations
import importlib.metadata
import json
import ntpath
import os
import subprocess
import sys
import types
import uuid
from pathlib import Path
from subprocess import PIPE, Popen
from typing import Any, Dict, List
from unittest import mock
import cloudpickle
import numpy as np
import p... | 2,948 | 110,389 |
mlflow | tests/pyfunc/test_spark_connect.py | .py | import numpy as np
import pandas as pd
import pytest
from pyspark.sql import SparkSession
from sklearn.datasets import load_iris
from sklearn.linear_model import LogisticRegression
import mlflow
@pytest.fixture(scope="module")
def spark():
spark = SparkSession.builder.remote("local[2]").getOrCreate()
yield s... | 53 | 1,932 |
mlflow | tests/pyfunc/test_chat_model_validation.py | .py | import pytest
from mlflow.types.llm import (
ChatChoice,
ChatCompletionRequest,
ChatCompletionResponse,
ChatMessage,
TokenUsageStats,
)
MOCK_RESPONSE = {
"id": "123",
"object": "chat.completion",
"created": 1677652288,
"model": "MyChatModel",
"choices": [
{
... | 274 | 8,477 |
mlflow | tests/pyfunc/test_context.py | .py | import random
import time
from threading import Thread
import pytest
import mlflow
from mlflow.pyfunc.context import (
Context,
get_prediction_context,
set_prediction_context,
)
def test_prediction_context_thread_safe():
def set_context(context):
with set_prediction_context(context):
... | 67 | 2,150 |
mlflow | tests/pyfunc/test_chat_model.py | .py | import json
import pathlib
import pickle
import uuid
from dataclasses import asdict
import pytest
import mlflow
from mlflow.exceptions import MlflowException
from mlflow.models.model import Model
from mlflow.models.signature import ModelSignature
from mlflow.models.utils import load_serving_example
from mlflow.pyfunc... | 662 | 21,901 |
mlflow | tests/pyfunc/test_pyfunc_schema_enforcement.py | .py | import base64
import datetime
import decimal
import json
import os
import re
from unittest import mock
import cloudpickle
import numpy as np
import pandas as pd
import pytest
import sklearn.linear_model
from packaging.version import Version
import mlflow
import mlflow.pyfunc.scoring_server as pyfunc_scoring_server
fr... | 3,084 | 119,325 |
mlflow | tests/pyfunc/test_pyfunc_model_config.py | .py | import os
import pytest
import yaml
import mlflow
from mlflow.models import Model
@pytest.fixture
def model_path(tmp_path):
return os.path.join(tmp_path, "model")
@pytest.fixture
def model_config():
return {
"use_gpu": True,
"temperature": 0.9,
"timeout": 300,
}
def _load_pyf... | 155 | 5,259 |
mlflow | tests/pyfunc/test_rag_model.py | .py | import json
from dataclasses import asdict
import mlflow
from mlflow.models.model import Model
from mlflow.models.rag_signatures import (
ChainCompletionChoice,
ChatCompletionRequest,
ChatCompletionResponse,
Message,
)
from mlflow.models.signature import ModelSignature
from tests.helper_functions impo... | 60 | 2,145 |
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