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/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 |
mlflow | tests/pyfunc/test_chat_agent_validation.py | .py | import pytest
from mlflow.types.agent import ChatAgentChunk, ChatAgentMessage, ChatAgentResponse
def test_chat_agent_message_throws_on_invalid_data():
# Missing 'content' or 'tool_calls'
data = {"role": "user", "name": "test_user"}
with pytest.raises(ValueError, match="Either 'content' or 'tool_calls'"):... | 79 | 2,893 |
mlflow | tests/pyfunc/docker/test_docker_flavors.py | .py | import contextlib
import os
import shutil
import sys
import threading
import time
import pandas as pd
import pytest
import requests
import mlflow
from mlflow.environment_variables import _MLFLOW_RUN_SLOW_TESTS
from mlflow.models.flavor_backend_registry import get_flavor_backend
from mlflow.models.utils import load_se... | 405 | 11,951 |
mlflow | tests/pyfunc/docker/test_docker.py | .py | import difflib
import os
import shutil
from dataclasses import dataclass
from pathlib import Path
from unittest import mock
import pytest
import sklearn
import sklearn.neighbors
from packaging.version import Version
import mlflow
from mlflow.environment_variables import _MLFLOW_RUN_SLOW_TESTS
from mlflow.models impor... | 158 | 5,415 |
mlflow | tests/pyfunc/docker/conftest.py | .py | import logging
import os
import subprocess
from functools import lru_cache
import docker
import pytest
import requests
from packaging.version import Version
import mlflow
TEST_IMAGE_NAME = "test_image"
MLFLOW_ROOT = os.path.abspath(os.path.join(os.path.dirname(__file__), "..", "..", ".."))
RESOURCE_DIR = os.path.joi... | 79 | 2,734 |
mlflow | tests/pyfunc/custom_model/loader.py | .py | import pickle
from custom_model.mod1 import mod2
__all__ = ["mod2"]
def _load_pyfunc(path):
with open(path, "rb") as f:
return pickle.load(f, encoding="latin1")
| 11 | 177 |
mlflow | tests/pyfunc/custom_model/transitive_test/transitive_dependency.py | .py | def some_function():
return "test"
| 3 | 39 |
mlflow | tests/pyfunc/custom_model/transitive_test/model_with_transitive.py | .py | from custom_model.transitive_test.transitive_dependency import some_function
from mlflow.pyfunc import PythonModel
class ModelWithTransitiveDependency(PythonModel):
def predict(self, context, model_input, params=None):
result = some_function()
return [result] * len(model_input)
| 10 | 302 |
mlflow | tests/pyfunc/custom_model/mod1/__init__.py | .py | from . import mod2 # noqa
__all__ = ["mod2"]
| 4 | 47 |
mlflow | tests/pyfunc/custom_model/mod1/mod4.py | .py | # The 2 importing commands are for testing these imported library
# code files won't be captured by `infer_code_paths=True`
import scipy
import sklearn
sk_version = sklearn.__version__
scipy_version = scipy.__version__
| 8 | 220 |
mlflow | tests/pyfunc/custom_model/mod1/mod2/__init__.py | .py | from .. import mod4 # noqa
__all__ = ["mod4"]
| 4 | 48 |
mlflow | tests/pyfunc/sample_code/python_model_with_config.py | .py | from mlflow.models import ModelConfig, set_model
from mlflow.pyfunc import PythonModel
base_config = ModelConfig(development_config="tests/pyfunc/sample_code/config.yml")
class MyModel(PythonModel):
def predict(self, context, model_input):
timeout = base_config.get("timeout")
return f"Predict cal... | 14 | 392 |
mlflow | tests/pyfunc/sample_code/python_model.py | .py | from mlflow.models import set_model
from mlflow.pyfunc import PythonModel
class MyModel(PythonModel):
def predict(self, context, model_input):
return f"This was the input: {model_input}"
set_model(MyModel())
| 11 | 224 |
mlflow | tests/pyfunc/sample_code/utils.py | .py | def my_function(input):
return f"My utils function received this input: {input}"
| 3 | 85 |
mlflow | tests/pyfunc/sample_code/func_code_with_type_hint.py | .py | from mlflow.models import set_model
def predict(model_input: list[str]):
return model_input
set_model(predict)
| 9 | 119 |
mlflow | tests/pyfunc/sample_code/python_model_with_utils.py | .py | from mlflow.models import set_model
from mlflow.pyfunc import PythonModel
class MyModel(PythonModel):
def predict(self, context, model_input):
from utils import my_function
return my_function(model_input)
set_model(MyModel())
| 13 | 251 |
mlflow | tests/pyfunc/sample_code/func_code.py | .py | from mlflow.models import set_model
def predict(model_input):
return model_input
set_model(predict)
| 9 | 108 |
mlflow | tests/pyfunc/sample_code/streamable_model_code.py | .py | from mlflow.models import set_model
from mlflow.pyfunc import PythonModel
class StreamableModel(PythonModel):
def __init__(self):
pass
def predict(self, context, model_input, params=None):
pass
def predict_stream(self, context, model_input, params=None):
yield "test1"
yie... | 18 | 362 |
mlflow | tests/pyfunc/sample_code/func_code_with_config.py | .py | from mlflow.models import ModelConfig, set_model
def predict(model_input: list[str]):
model_config = ModelConfig(development_config="tests/pyfunc/sample_code/config.yml")
timeout = model_config.get("timeout")
return f"This was the input: {model_input[0]}, timeout {timeout}"
set_model(predict)
| 11 | 310 |
mlflow | tests/pyfunc/sample_code/code_with_dependencies.py | .py | import os
import mlflow
from mlflow.models import set_model, set_retriever_schema
from mlflow.pyfunc import PythonModel
test_trace = os.environ.get("TEST_TRACE", "true").lower() == "true"
class MyModel(PythonModel):
def _call_retriever(self, id):
return f"Retriever called with ID: {id}. Output: 42."
... | 42 | 1,241 |
mlflow | tests/ai_commands/test_ai_command_utils.py | .py | import platform
from unittest import mock
import pytest
from mlflow.ai_commands import get_command, get_command_body, list_commands, parse_frontmatter
def test_parse_frontmatter_with_metadata():
content = """---
namespace: genai
description: Test command
---
# Command content
This is the body."""
metadata... | 283 | 7,863 |
mlflow | tests/openai/test_openai_model_export.py | .py | import importlib
import json
from unittest import mock
import numpy as np
import openai
import pandas as pd
import pytest
import yaml
from pyspark.sql import SparkSession
import mlflow
import mlflow.pyfunc.scoring_server as pyfunc_scoring_server
from mlflow.models.signature import ModelSignature
from mlflow.models.ut... | 707 | 21,151 |
mlflow | tests/openai/mock_openai.py | .py | import argparse
import base64
import json
from typing import Any
import fastapi
from pydantic import BaseModel
from starlette.responses import StreamingResponse
from mlflow.types.chat import ChatCompletionRequest
EMPTY_CHOICES = "EMPTY_CHOICES"
LIST_CONTENT = "LIST_CONTENT"
AZURE_ANNOTATIONS = "AZURE_ANNOTATIONS"
a... | 548 | 15,860 |
mlflow | tests/openai/test_openai_evaluate.py | .py | from unittest import mock
import openai
import pandas as pd
import pytest
import mlflow
from mlflow.models.evaluation import evaluate
from mlflow.tracing.constant import TraceMetadataKey
from tests.tracing.helper import get_traces, purge_traces, reset_autolog_state # noqa: F401
_EVAL_DATA = pd.DataFrame({
"inp... | 138 | 3,999 |
mlflow | tests/openai/test_openai_responses_autolog.py | .py | from unittest import mock
import httpx
import openai
import pytest
from packaging.version import Version
import mlflow
from mlflow.entities.span import SpanType
from mlflow.tracing.constant import SpanAttributeKey, TokenUsageKey
from tests.tracing.helper import get_traces
if Version(openai.__version__) < Version("1... | 384 | 11,536 |
mlflow | tests/openai/test_genai_semconv_converter.py | .py | import importlib.metadata
import json
import openai
import pytest
from packaging.version import Version
import mlflow
from mlflow.openai.genai_semconv_converter import _convert_content, _convert_message
from tests.tracing.helper import capture_otel_export, reset_autolog_state # noqa: F401
MODEL = "gpt-4o-mini"
_o... | 316 | 11,080 |
mlflow | tests/openai/test_openai_autolog.py | .py | import json
import re
import sys
from unittest import mock
import httpx
import openai
import pytest
from openai.resources.chat.completions import Completions as ChatCompletions
from openai.resources.completions import Completions
from openai.resources.embeddings import Embeddings
from packaging.version import Version
... | 1,295 | 44,527 |
mlflow | tests/openai/test_openai_agent_autolog.py | .py | import asyncio
import copy
import gc
import json
from unittest import mock
import openai
import pytest
try:
import agents # noqa: F401
except ImportError:
pytest.skip("OpenAI SDK is not installed. Skipping tests.", allow_module_level=True)
from agents import Agent, Runner, function_tool, set_default_openai_... | 646 | 20,725 |
mlflow | tests/openai/conftest.py | .py | import importlib.metadata
import pytest
from packaging.version import Version
from tests.helper_functions import start_mock_openai_server
is_v1 = Version(importlib.metadata.version("openai")).major >= 1
@pytest.fixture(scope="module", autouse=True)
def mock_openai():
with start_mock_openai_server() as base_url... | 15 | 345 |
mlflow | tests/anthropic/test_anthropic_autolog.py | .py | import asyncio
import re
from typing import Any
from unittest.mock import ANY, patch
import anthropic
import pytest
from anthropic.types import Message, TextBlock, ToolUseBlock, Usage
import mlflow.anthropic
from mlflow.entities import SpanLogLevel
from mlflow.entities.span import SpanType
from mlflow.tracing.constan... | 499 | 16,785 |
mlflow | tests/anthropic/test_anthropic_genai_semconv_converter.py | .py | import json
from unittest.mock import patch
import anthropic
import pytest
from packaging.version import Version
import mlflow
from mlflow.anthropic.genai_semconv_converter import _convert_block
from mlflow.tracing.constant import GenAiSemconvKey
from tests.anthropic.test_anthropic_autolog import (
DUMMY_CREATE_... | 177 | 6,463 |
mlflow | tests/sentence_transformers/test_sentence_transformers_model_export.py | .py | import json
import os
from unittest import mock
import numpy as np
import pandas as pd
import pytest
import sentence_transformers
import yaml
from packaging.version import Version
from pyspark.sql import SparkSession
from pyspark.sql.types import ArrayType, DoubleType
from sentence_transformers import SentenceTransfor... | 599 | 22,983 |
mlflow | tests/optuna/test_storage.py | .py | import gc
import random
import threading
import time
from datetime import datetime
from time import sleep
from typing import Any
from unittest.mock import MagicMock, call, patch
import numpy as np
import pytest
from optuna.distributions import CategoricalDistribution, FloatDistribution
from optuna.storages import Base... | 727 | 28,494 |
mlflow | tests/metrics/test_metric_base.py | .py | from mlflow.metrics.base import MetricValue
def test_metric_value():
metricValue1 = MetricValue(
scores=[1, 2, 3],
justifications=["foo", "bar", "baz"],
aggregate_results={"mean": 2},
)
metricValue2 = MetricValue(
scores=[1, 2, 3],
justifications=["foo", "bar", "ba... | 39 | 1,144 |
mlflow | tests/metrics/test_metric_definitions.py | .py | import inspect
import io
import sys
from unittest import mock
import pandas as pd
import pytest
from mlflow.metrics import (
MetricValue,
ari_grade_level,
bleu,
exact_match,
f1_score,
flesch_kincaid_grade_level,
mae,
mape,
max_error,
mse,
ndcg_at_k,
precision_at_k,
... | 396 | 14,379 |
mlflow | tests/metrics/genai/test_model_utils.py | .py | import copy
import json
import sys
from unittest import mock
import pytest
import requests
from mlflow.exceptions import MlflowException
from mlflow.genai.utils.gateway_utils import GatewayConfig
from mlflow.metrics.genai import model_utils
from mlflow.metrics.genai.model_utils import (
_MODELS_WITHOUT_OUTPUT_CON... | 842 | 29,498 |
mlflow | tests/metrics/genai/test_base.py | .py | import re
from mlflow.metrics.genai import EvaluationExample
def test_evaluation_example_str():
example1 = str(
EvaluationExample(
input="This is an input",
output="This is an output",
score=5,
justification="This is a justification",
grading_co... | 73 | 1,827 |
mlflow | tests/metrics/genai/test_prompt_template.py | .py | from mlflow.metrics.genai.prompt_template import PromptTemplate
def test_prompt_template_flat_str_no_variables():
prompt = PromptTemplate(template_str="Say {foo}")
assert prompt.format(foo="bar") == "Say bar"
prompt = PromptTemplate(template_str="Say {foo} {baz}")
assert prompt.format(foo="bar") == "... | 58 | 2,228 |
mlflow | tests/metrics/genai/test_genai_metrics.py | .py | import inspect
import re
from unittest import mock
import numpy as np
import pandas as pd
import pytest
from mlflow.exceptions import MlflowException
from mlflow.metrics.genai import EvaluationExample, model_utils
from mlflow.metrics.genai.genai_metric import (
_extract_score_and_justification,
_format_args_s... | 1,389 | 60,220 |
mlflow | tests/metrics/genai/prompts/test_v1.py | .py | import re
import pytest
from mlflow.metrics.genai import EvaluationExample
from mlflow.metrics.genai.prompts.v1 import EvaluationModel
def test_evaluation_model_output():
model1 = EvaluationModel(
name="correctness",
definition="Correctness refers to how well the generated output matches "
... | 267 | 11,367 |
mlflow | tests/mcp/test_mcp.py | .py | import sys
from collections.abc import AsyncIterator
from unittest.mock import patch
import click
import pytest
import pytest_asyncio
from fastmcp import Client
from fastmcp.client.transports import StdioTransport
import mlflow
from mlflow.mcp import server
from mlflow.mcp.server import fn_wrapper
from mlflow.models ... | 214 | 6,307 |
mlflow | tests/mcp/test_cli.py | .py | import sys
import pytest
from fastmcp import Client
from fastmcp.client.transports import StdioTransport
import mlflow
@pytest.mark.asyncio
async def test_cli():
transport = StdioTransport(
command=sys.executable,
args=[
"-m",
"mlflow",
"mcp",
"run... | 28 | 593 |
mlflow | tests/utils/test_semver_utils.py | .py | from functools import cmp_to_key
from itertools import product
import pytest
from mlflow.exceptions import MlflowException
from mlflow.utils.semver_utils import (
SemVer,
compare_semver,
encode_prerelease_sort_key,
parse_semver,
)
def _compare_identifiers(left: str, right: str) -> int:
left_is_n... | 393 | 11,273 |
mlflow | tests/utils/test_server_info.py | .py | import os
import select
import signal
import threading
from unittest import mock
import pytest
from mlflow.utils import server_info
from mlflow.utils.rest_utils import MlflowHostCreds
from mlflow.utils.server_info import (
SERVER_INFO_ENDPOINT,
ServerInfoRequestError,
ServerInfoResponse,
_clear_server... | 570 | 19,117 |
mlflow | tests/utils/test_providers.py | .py | import json
from unittest import mock
import pytest
from mlflow.exceptions import MlflowException
from mlflow.utils.providers import (
_fetch_remote_provider,
_flatten_catalog_entry,
_get_remote_cache,
_list_provider_names,
_load_bundled_provider,
_load_provider,
_normalize_provider,
c... | 571 | 20,028 |
mlflow | tests/utils/test_exception.py | .py | import json
from mlflow.exceptions import ExecutionException, RestException
from mlflow.protos.databricks_pb2 import RESOURCE_DOES_NOT_EXIST, ErrorCode
def test_execution_exception_string_repr():
exc = ExecutionException("Uh oh")
assert str(exc) == "Uh oh"
json.loads(exc.serialize_as_json())
def test_r... | 40 | 1,246 |
mlflow | tests/utils/test_search_utils.py | .py | import base64
import json
import re
import pytest
from mlflow.entities import (
Dataset,
DatasetInput,
InputTag,
LifecycleStage,
Metric,
Param,
Run,
RunData,
RunInfo,
RunInputs,
RunStatus,
RunTag,
TraceState,
trace_location,
)
from mlflow.entities.trace_info imp... | 894 | 32,647 |
mlflow | tests/utils/test_class_utils.py | .py | import mlflow
from mlflow.utils.class_utils import _get_class_from_string
def test_get_class_from_string():
assert _get_class_from_string("mlflow.MlflowClient") == mlflow.MlflowClient
| 7 | 190 |
mlflow | tests/utils/test_file_utils.py | .py | import filecmp
import hashlib
import io
import os
import shutil
import stat
import tarfile
from pathlib import Path
import pytest
from pyspark.sql import SparkSession
import mlflow
from mlflow.exceptions import MlflowException
from mlflow.pyfunc.dbconnect_artifact_cache import extract_archive_to_dir
from mlflow.utils... | 393 | 14,825 |
mlflow | tests/utils/test_promptlab_utils.py | .py | import json
import os
import pytest
from mlflow.entities.param import Param
from mlflow.entities.run_status import RunStatus
from mlflow.store.artifact.artifact_repository_registry import get_artifact_repository
from mlflow.tracking._tracking_service.utils import _get_store
from mlflow.utils.promptlab_utils import (
... | 104 | 3,581 |
mlflow | tests/utils/test_oss_registry_utils.py | .py | from unittest import mock
import pytest
from mlflow.exceptions import MlflowException
from mlflow.utils.oss_registry_utils import get_oss_host_creds
from mlflow.utils.rest_utils import MlflowHostCreds
@pytest.mark.parametrize(
("server_uri", "expected_creds"),
[
("uc:databricks-uc", MlflowHostCreds(... | 42 | 1,546 |
mlflow | tests/utils/test_thread_utils.py | .py | import contextvars
from concurrent.futures import ThreadPoolExecutor
import pytest
from mlflow.utils.thread_utils import map_with_context
_TEST_CTX = contextvars.ContextVar("test_ctx", default=None)
def test_map_with_context_propagates_caller_context():
_TEST_CTX.set("caller-value")
def worker(_):
... | 67 | 1,948 |
mlflow | tests/utils/test_model_utils.py | .py | import os
import sys
from unittest import mock
import pytest
import sklearn.linear_model as logreg_module
from sklearn import datasets
import mlflow.sklearn
import mlflow.utils.model_utils as mlflow_model_utils
from mlflow.environment_variables import MLFLOW_RECORD_ENV_VARS_IN_MODEL_LOGGING
from mlflow.exceptions imp... | 129 | 5,030 |
mlflow | tests/utils/test_string_utils.py | .py | import pytest
from mlflow.utils.string_utils import (
format_table_cell_value,
is_string_type,
mslex_quote,
strip_prefix,
strip_suffix,
)
@pytest.mark.parametrize(
(("original", "prefix", "expected")),
[("smoketest", "smoke", "test"), ("", "test", ""), ("", "", ""), ("test", "", "test")],... | 95 | 2,956 |
mlflow | tests/utils/test_unity_catalog_utils.py | .py | import pytest
from mlflow.entities.logged_model_parameter import LoggedModelParameter as ModelParam
from mlflow.entities.metric import Metric
from mlflow.entities.model_registry import (
ModelVersion,
ModelVersionDeploymentJobState,
ModelVersionTag,
RegisteredModel,
RegisteredModelAlias,
Regist... | 556 | 18,255 |
mlflow | tests/utils/test_databricks_tracing_utils.py | .py | import json
import pytest
from google.protobuf.timestamp_pb2 import Timestamp
import mlflow
from mlflow.entities import (
AssessmentSource,
Expectation,
Feedback,
Trace,
TraceData,
TraceInfo,
TraceState,
)
from mlflow.entities.trace_location import (
InferenceTableLocation,
MlflowE... | 519 | 20,601 |
mlflow | tests/utils/test_env_pack.py | .py | import subprocess
import sys
import tarfile
import venv
from pathlib import Path
from unittest import mock
import pytest
import yaml
from mlflow.exceptions import MlflowException
from mlflow.utils import env_pack
from mlflow.utils.databricks_utils import DatabricksRuntimeVersion
from mlflow.utils.env_pack import EnvP... | 424 | 15,584 |
mlflow | tests/utils/test_async_logging_queue.py | .py | import contextlib
import io
import pickle
import random
import threading
import time
import uuid
from unittest.mock import MagicMock, patch
import pytest
import mlflow.utils.async_logging.async_logging_queue
from mlflow import MlflowException
from mlflow.entities.metric import Metric
from mlflow.entities.param import... | 440 | 15,131 |
mlflow | tests/utils/test_git_utils.py | .py | import pytest
from mlflow.utils.git_utils import _strip_credentials_from_url
@pytest.mark.parametrize(
("url", "expected"),
[
# HTTPS with username + password (token)
("https://user:token@github.com/foo/bar.git", "https://github.com/foo/bar.git"),
# HTTPS with token-only userinfo (Git... | 38 | 1,577 |
mlflow | tests/utils/test_crypto.py | .py | import json
import os
import pytest
from mlflow.exceptions import MlflowException
from mlflow.utils.crypto import (
AES_256_KEY_LENGTH,
GCM_NONCE_LENGTH,
KEKManager,
_create_aad,
_decrypt_secret,
_encrypt_secret,
_encrypt_with_aes_gcm,
_generate_dek,
_mask_secret_value,
_mask_s... | 624 | 18,858 |
mlflow | tests/utils/test_yaml_utils.py | .py | import codecs
import os
from mlflow.utils.yaml_utils import (
read_yaml,
safe_edit_yaml,
write_yaml,
)
from tests.helper_functions import random_file, random_int
def test_yaml_read_and_write(tmp_path):
temp_dir = str(tmp_path)
yaml_file = random_file("yaml")
long_value = 1
data = {
... | 77 | 2,134 |
mlflow | tests/utils/test_uv_utils.py | .py | import subprocess
from unittest import mock
import pytest
from packaging.version import Version
from mlflow.environment_variables import MLFLOW_UV_AUTO_DETECT
from mlflow.utils.environment import infer_pip_requirements
from mlflow.utils.uv_utils import (
_PYPROJECT_FILE,
_UV_LOCK_FILE,
copy_uv_project_fil... | 868 | 28,171 |
mlflow | tests/utils/test_uri.py | .py | import os
import pathlib
import posixpath
import pytest
from mlflow.exceptions import MlflowException
from mlflow.store.db.db_types import DATABASE_ENGINES
from mlflow.utils.os import is_windows
from mlflow.utils.uri import (
add_databricks_profile_info_to_artifact_uri,
append_to_uri_path,
append_to_uri_q... | 1,034 | 39,732 |
mlflow | tests/utils/test_workspace_utils.py | .py | from __future__ import annotations
import os
from mlflow.environment_variables import MLFLOW_WORKSPACE
from mlflow.utils.workspace_context import (
ServerWorkspaceContext,
WorkspaceContext,
clear_server_request_workspace,
get_request_workspace,
)
from mlflow.utils.workspace_utils import (
DEFAULT_... | 56 | 1,756 |
mlflow | tests/utils/test_async_artifacts_logging_queue.py | .py | import io
import pickle
import random
import threading
import time
import pytest
from PIL import Image
from mlflow import MlflowException
from mlflow.utils.async_logging.async_artifacts_logging_queue import AsyncArtifactsLoggingQueue
TOTAL_ARTIFACTS = 5
class RunArtifacts:
def __init__(self, throw_exception_on... | 281 | 9,308 |
mlflow | tests/utils/test_mime_type_utils.py | .py | import pytest
from mlflow.utils.mime_type_utils import _guess_mime_type
from mlflow.utils.os import is_windows
@pytest.mark.skipif(is_windows(), reason="This test fails on Windows")
@pytest.mark.parametrize(
("file_path", "expected_mime_type"),
[
("c.txt", "text/plain"),
("c.pkl", "applicatio... | 40 | 1,335 |
mlflow | tests/utils/test_provider_filter.py | .py | import pytest
from mlflow.utils.provider_filter import (
_parse_provider_list,
filter_providers,
is_provider_allowed,
)
@pytest.mark.parametrize(
("input_value", "expected"),
[
(None, frozenset()),
("", frozenset()),
("openai", frozenset({"openai"})),
("openai,anth... | 78 | 2,947 |
mlflow | tests/utils/test_jsonpath_utils.py | .py | import pytest
from mlflow.utils.jsonpath_utils import (
filter_json_by_fields,
jsonpath_extract_values,
split_path_respecting_backticks,
validate_field_paths,
)
def test_jsonpath_extract_values_simple():
data = {"info": {"trace_id": "tr-123", "state": "OK"}}
values = jsonpath_extract_values(d... | 251 | 9,111 |
mlflow | tests/utils/test_gorilla.py | .py | import pytest
from mlflow.utils import gorilla
class Delegator:
def __init__(self, delegated_fn):
self.delegated_fn = delegated_fn
def __get__(self, instance, owner):
return self.delegated_fn
def delegate(delegated_fn):
return lambda fn: Delegator(delegated_fn)
def gen_class_A_B():
... | 190 | 5,386 |
mlflow | tests/utils/test_environment.py | .py | import importlib.metadata
import os
from unittest import mock
import pytest
import yaml
from mlflow.exceptions import MlflowException
from mlflow.utils.environment import (
_contains_mlflow_requirement,
_deduplicate_requirements,
_get_pip_deps,
_get_pip_requirement_specifier,
_is_mlflow_requiremen... | 497 | 20,777 |
mlflow | tests/utils/test_proto_json_utils.py | .py | import base64
import datetime
import json
import numpy as np
import pandas as pd
import pytest
from google.protobuf.text_format import Parse as ParseTextIntoProto
from mlflow.entities import Experiment, Metric
from mlflow.entities.model_registry import ModelVersion, RegisteredModel
from mlflow.exceptions import Mlflo... | 712 | 25,695 |
mlflow | tests/utils/test_process_utils.py | .py | import os
import uuid
import pytest
from mlflow.utils.os import is_windows
from mlflow.utils.process import cache_return_value_per_process
@cache_return_value_per_process
def _gen_random_str1(v):
return str(v) + uuid.uuid4().hex
@cache_return_value_per_process
def _gen_random_str2(v):
return str(v) + uuid... | 67 | 1,931 |
mlflow | tests/utils/test_doctor.py | .py | from unittest import mock
import mlflow
def test_doctor(capsys):
mlflow.doctor()
captured = capsys.readouterr()
assert f"MLflow version: {mlflow.__version__}" in captured.out
def test_doctor_active_run(capsys):
with mlflow.start_run() as run:
mlflow.doctor()
captured = capsys.readou... | 28 | 780 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.