sample_id stringlengths 21 196 | text stringlengths 105 936k | metadata dict | category stringclasses 6
values |
|---|---|---|---|
mlflow/mlflow:.github/ui-preview/app.py | import logging
import os
import subprocess
import sys
from pathlib import Path
import mlflow.server
from mlflow.demo import generate_all_demos
logging.basicConfig(level=logging.INFO)
_logger = logging.getLogger(__name__)
def setup():
# Extract UI build assets into the mlflow package's expected location
tar_... | {
"repo_id": "mlflow/mlflow",
"file_path": ".github/ui-preview/app.py",
"license": "Apache License 2.0",
"lines": 44,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
mlflow/mlflow:mlflow/demo/generators/judges.py | from __future__ import annotations
import logging
from mlflow.demo.base import (
DEMO_EXPERIMENT_NAME,
DEMO_PROMPT_PREFIX,
BaseDemoGenerator,
DemoFeature,
DemoResult,
)
from mlflow.genai.scorers.registry import delete_scorer, list_scorers
from mlflow.tracking._tracking_service.utils import _get_st... | {
"repo_id": "mlflow/mlflow",
"file_path": "mlflow/demo/generators/judges.py",
"license": "Apache License 2.0",
"lines": 124,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
mlflow/mlflow:tests/demo/test_judges_generator.py | import pytest
from mlflow.demo.base import DemoFeature, DemoResult
from mlflow.demo.generators.judges import DEMO_JUDGE_PREFIX, JudgesDemoGenerator
from mlflow.genai.scorers.registry import list_scorers
@pytest.fixture
def judges_generator():
generator = JudgesDemoGenerator()
original_version = generator.ver... | {
"repo_id": "mlflow/mlflow",
"file_path": "tests/demo/test_judges_generator.py",
"license": "Apache License 2.0",
"lines": 58,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:mlflow/store/artifact/b2_artifact_repo.py | from urllib.parse import urlparse
from mlflow.store.artifact.optimized_s3_artifact_repo import OptimizedS3ArtifactRepository
from mlflow.store.artifact.s3_artifact_repo import _get_s3_client
_B2_USER_AGENT = "b2ai-mlflow"
def _add_b2_user_agent(request, **kwargs):
ua = request.headers.get("User-Agent", "")
... | {
"repo_id": "mlflow/mlflow",
"file_path": "mlflow/store/artifact/b2_artifact_repo.py",
"license": "Apache License 2.0",
"lines": 76,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
mlflow/mlflow:tests/store/artifact/test_b2_artifact_repo.py | import posixpath
from unittest import mock
from unittest.mock import ANY
import pytest
from mlflow.store.artifact.artifact_repository_registry import get_artifact_repository
from mlflow.store.artifact.b2_artifact_repo import _B2_USER_AGENT, _add_b2_user_agent
from mlflow.store.artifact.s3_artifact_repo import _cached... | {
"repo_id": "mlflow/mlflow",
"file_path": "tests/store/artifact/test_b2_artifact_repo.py",
"license": "Apache License 2.0",
"lines": 66,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:mlflow/entities/presigned_download.py | from __future__ import annotations
from dataclasses import dataclass
from typing import Any
@dataclass
class PresignedDownloadUrlResponse:
"""
Response containing a presigned URL for downloading an artifact directly
from cloud storage.
"""
url: str
headers: dict[str, str]
file_size: int ... | {
"repo_id": "mlflow/mlflow",
"file_path": "mlflow/entities/presigned_download.py",
"license": "Apache License 2.0",
"lines": 27,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
mlflow/mlflow:dev/clint/src/clint/rules/except_bool_op.py | import ast
from clint.rules.base import Rule
class ExceptBoolOp(Rule):
def _message(self) -> str:
return (
"Did you mean `except (X, Y):`? Using or/and in an except handler is likely a mistake."
)
@staticmethod
def check(node: ast.ExceptHandler) -> bool:
return isinst... | {
"repo_id": "mlflow/mlflow",
"file_path": "dev/clint/src/clint/rules/except_bool_op.py",
"license": "Apache License 2.0",
"lines": 10,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
mlflow/mlflow:dev/clint/tests/rules/test_except_bool_op.py | from pathlib import Path
from clint.config import Config
from clint.linter import Position, Range, lint_file
from clint.rules import ExceptBoolOp
def test_except_bool_op(index_path: Path) -> None:
code = """
# Bad - or in except
try:
pass
except ValueError or KeyError:
pass
# Bad - and in except
try:
... | {
"repo_id": "mlflow/mlflow",
"file_path": "dev/clint/tests/rules/test_except_bool_op.py",
"license": "Apache License 2.0",
"lines": 45,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:mlflow/store/fs2db/_registry.py | """
Migrate model registry entities from FileStore to DB.
FileStore layout:
<mlruns>/models/
└── <model_name>/
├── meta.yaml -> registered_models
├── tags/<key> -> registered_model_tags
├── aliases/<alias_name> -> registered_model_aliases
└── version-... | {
"repo_id": "mlflow/mlflow",
"file_path": "mlflow/store/fs2db/_registry.py",
"license": "Apache License 2.0",
"lines": 116,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
mlflow/mlflow:mlflow/store/fs2db/_tracking.py | """
Migrate tracking store entities from FileStore to DB.
FileStore layout:
<mlruns>/
├── <experiment_id>/
│ ├── meta.yaml -> experiments
│ ├── tags/<key> -> experiment_tags
│ ├── <run_uuid>/
│ │ ├── meta.yaml -> runs
│ │ ├─... | {
"repo_id": "mlflow/mlflow",
"file_path": "mlflow/store/fs2db/_tracking.py",
"license": "Apache License 2.0",
"lines": 610,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
mlflow/mlflow:mlflow/store/fs2db/_utils.py | import logging
from collections.abc import Iterator
from dataclasses import dataclass, fields
from pathlib import Path
from typing import Any
import yaml
from mlflow.store.tracking.file_store import FileStore
_logger = logging.getLogger(__name__)
@dataclass
class MigrationStats:
experiments: int = 0
experi... | {
"repo_id": "mlflow/mlflow",
"file_path": "mlflow/store/fs2db/_utils.py",
"license": "Apache License 2.0",
"lines": 113,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
mlflow/mlflow:mlflow/store/fs2db/cli.py | from pathlib import Path
import click
from mlflow.store.fs2db import migrate
from mlflow.utils.uri import get_uri_scheme
@click.command("migrate-filestore")
@click.option(
"--source",
required=True,
type=click.Path(exists=True, file_okay=False, resolve_path=True),
help="Root directory containing mlr... | {
"repo_id": "mlflow/mlflow",
"file_path": "mlflow/store/fs2db/cli.py",
"license": "Apache License 2.0",
"lines": 39,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
mlflow/mlflow:tests/store/fs2db/test_migration.py | import math
from pathlib import Path
from unittest import mock
import pytest
from sqlalchemy import create_engine, text
from mlflow.entities import Experiment, Run, ViewType
from mlflow.store.fs2db import migrate
from mlflow.tracking import MlflowClient
from mlflow.utils.file_utils import local_file_uri_to_path
Clie... | {
"repo_id": "mlflow/mlflow",
"file_path": "tests/store/fs2db/test_migration.py",
"license": "Apache License 2.0",
"lines": 229,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:mlflow/mcp/decorator.py | """
Decorator for exposing MLflow CLI commands as MCP tools.
Usage:
from mlflow.mcp.decorator import mlflow_mcp
@commands.command("search")
@mlflow_mcp(tool_name="search_traces")
@click.option(...)
def search_traces(...):
...
The decorator attaches MCP metadata to the Click command, which... | {
"repo_id": "mlflow/mlflow",
"file_path": "mlflow/mcp/decorator.py",
"license": "Apache License 2.0",
"lines": 54,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | documentation |
mlflow/mlflow:tests/store/test_workspace_model_coverage.py | """Verify that every SQLAlchemy model with a ``workspace`` column is handled
by at least one workspace store's ``_get_query`` method.
If a new model is added with a ``workspace`` column but the developer forgets
to add it to ``_get_query``, that model's queries will bypass workspace
isolation. This test catches that ... | {
"repo_id": "mlflow/mlflow",
"file_path": "tests/store/test_workspace_model_coverage.py",
"license": "Apache License 2.0",
"lines": 77,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:.github/workflows/triage.py | """Triage GitHub issues: generate a comment requesting missing info."""
# ruff: noqa: T201
import argparse
import concurrent.futures
import json
import os
import re
import sys
import urllib.request
from pathlib import Path
from typing import Any
PROMPT_TEMPLATE = """\
Triage the following GitHub issue and decide whet... | {
"repo_id": "mlflow/mlflow",
"file_path": ".github/workflows/triage.py",
"license": "Apache License 2.0",
"lines": 204,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
mlflow/mlflow:fs2db/src/generate_synthetic_data.py | # ruff: noqa: T201
"""
Generate synthetic MLflow FileStore data for testing the fs2db migration tool.
Usage:
uv run --with mlflow==3.6.0 --no-project python -I \
fs2db/src/generate_synthetic_data.py --output /tmp/fs2db/v3.6.0/ --size small
This script uses the MLflow public API to create realistic on-disk... | {
"repo_id": "mlflow/mlflow",
"file_path": "fs2db/src/generate_synthetic_data.py",
"license": "Apache License 2.0",
"lines": 354,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
mlflow/mlflow:mlflow/entities/workspace.py | """Workspace entity shared between server and stores."""
from __future__ import annotations
from dataclasses import dataclass
from enum import Enum
from typing import Any
from mlflow.protos.service_pb2 import Workspace as ProtoWorkspace
class WorkspaceDeletionMode(str, Enum):
"""Controls what happens to resour... | {
"repo_id": "mlflow/mlflow",
"file_path": "mlflow/entities/workspace.py",
"license": "Apache License 2.0",
"lines": 52,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
mlflow/mlflow:mlflow/server/workspace_helpers.py | from __future__ import annotations
import logging
import os
from flask import Response, request
from mlflow.entities import Workspace
from mlflow.environment_variables import (
MLFLOW_ENABLE_WORKSPACES,
MLFLOW_WORKSPACE_STORE_URI,
)
from mlflow.exceptions import MlflowException
from mlflow.protos import data... | {
"repo_id": "mlflow/mlflow",
"file_path": "mlflow/server/workspace_helpers.py",
"license": "Apache License 2.0",
"lines": 123,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
mlflow/mlflow:mlflow/store/db/workspace_migration.py | import sqlalchemy as sa
from mlflow.store.workspace.sqlalchemy_store import _WORKSPACE_ROOT_MODELS
from mlflow.utils.workspace_utils import DEFAULT_WORKSPACE_NAME
# Derive table names from the shared ORM model list and add child/tags tables that also carry
# a workspace column but are not "root" tables (they are upda... | {
"repo_id": "mlflow/mlflow",
"file_path": "mlflow/store/db/workspace_migration.py",
"license": "Apache License 2.0",
"lines": 134,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
mlflow/mlflow:mlflow/store/jobs/sqlalchemy_workspace_store.py | """
Workspace-aware variant of the jobs SQLAlchemy store.
"""
from __future__ import annotations
import logging
from mlflow.store.jobs.sqlalchemy_store import SqlAlchemyJobStore
from mlflow.store.tracking.dbmodels.models import SqlJob
from mlflow.store.workspace_aware_mixin import WorkspaceAwareMixin
_logger = logg... | {
"repo_id": "mlflow/mlflow",
"file_path": "mlflow/store/jobs/sqlalchemy_workspace_store.py",
"license": "Apache License 2.0",
"lines": 26,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | documentation |
mlflow/mlflow:mlflow/store/model_registry/sqlalchemy_workspace_store.py | """
Workspace-aware variant of the model registry SQLAlchemy store.
"""
from __future__ import annotations
import logging
from mlflow.store.model_registry.dbmodels.models import (
SqlModelVersion,
SqlModelVersionTag,
SqlRegisteredModel,
SqlRegisteredModelAlias,
SqlRegisteredModelTag,
SqlWebho... | {
"repo_id": "mlflow/mlflow",
"file_path": "mlflow/store/model_registry/sqlalchemy_workspace_store.py",
"license": "Apache License 2.0",
"lines": 57,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
mlflow/mlflow:mlflow/store/tracking/sqlalchemy_workspace_store.py | from __future__ import annotations
import logging
import sqlalchemy
import sqlalchemy.sql.expression as sql
from sqlalchemy.exc import IntegrityError
from sqlalchemy.future import select
from mlflow.entities import (
Experiment,
)
from mlflow.entities.entity_type import EntityAssociationType
from mlflow.entities... | {
"repo_id": "mlflow/mlflow",
"file_path": "mlflow/store/tracking/sqlalchemy_workspace_store.py",
"license": "Apache License 2.0",
"lines": 421,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
mlflow/mlflow:mlflow/store/workspace/abstract_store.py | from __future__ import annotations
import re
from abc import ABC, abstractmethod
from typing import Iterable
from mlflow.entities import Workspace
from mlflow.entities.workspace import WorkspaceDeletionMode
from mlflow.exceptions import MlflowException
# The workspace store can be backed by something other than the... | {
"repo_id": "mlflow/mlflow",
"file_path": "mlflow/store/workspace/abstract_store.py",
"license": "Apache License 2.0",
"lines": 99,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
mlflow/mlflow:mlflow/store/workspace/dbmodels/models.py | from __future__ import annotations
import sqlalchemy as sa
from sqlalchemy import Column, String, Text
from mlflow.entities.workspace import Workspace
from mlflow.store.db.base_sql_model import Base
class SqlWorkspace(Base):
__tablename__ = "workspaces"
# Workspace-aware tables intentionally do not declare... | {
"repo_id": "mlflow/mlflow",
"file_path": "mlflow/store/workspace/dbmodels/models.py",
"license": "Apache License 2.0",
"lines": 23,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
mlflow/mlflow:mlflow/store/workspace/rest_store.py | from __future__ import annotations
from urllib.parse import quote
from mlflow.entities import Workspace
from mlflow.entities.workspace import WorkspaceDeletionMode
from mlflow.exceptions import MlflowException, RestException
from mlflow.protos import databricks_pb2
from mlflow.protos.databricks_pb2 import INVALID_STA... | {
"repo_id": "mlflow/mlflow",
"file_path": "mlflow/store/workspace/rest_store.py",
"license": "Apache License 2.0",
"lines": 110,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
mlflow/mlflow:mlflow/store/workspace/sqlalchemy_store.py | from __future__ import annotations
import logging
from threading import Lock
from typing import Iterable
from cachetools import TTLCache
from sqlalchemy.exc import IntegrityError
from sqlalchemy.orm import sessionmaker
from mlflow.entities.workspace import Workspace, WorkspaceDeletionMode
from mlflow.environment_var... | {
"repo_id": "mlflow/mlflow",
"file_path": "mlflow/store/workspace/sqlalchemy_store.py",
"license": "Apache License 2.0",
"lines": 239,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
mlflow/mlflow:mlflow/store/workspace/utils.py | from __future__ import annotations
import logging
from mlflow.entities import Workspace
from mlflow.protos import databricks_pb2
_INVALID_PARAMETER_VALUE_CODE = databricks_pb2.INVALID_PARAMETER_VALUE
_INVALID_PARAMETER_VALUE_NAME = databricks_pb2.ErrorCode.Name(_INVALID_PARAMETER_VALUE_CODE)
_logger = logging.getL... | {
"repo_id": "mlflow/mlflow",
"file_path": "mlflow/store/workspace/utils.py",
"license": "Apache License 2.0",
"lines": 30,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
mlflow/mlflow:mlflow/store/workspace_aware_mixin.py | """
Mixin class providing common workspace functionality for stores.
"""
from __future__ import annotations
from mlflow.environment_variables import MLFLOW_ENABLE_WORKSPACES
from mlflow.exceptions import MlflowException
from mlflow.utils.workspace_context import get_request_workspace
from mlflow.utils.workspace_utils... | {
"repo_id": "mlflow/mlflow",
"file_path": "mlflow/store/workspace_aware_mixin.py",
"license": "Apache License 2.0",
"lines": 49,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | documentation |
mlflow/mlflow:mlflow/store/workspace_rest_store_mixin.py | from __future__ import annotations
from mlflow.exceptions import MlflowException
from mlflow.protos import databricks_pb2
from mlflow.utils.rest_utils import http_request
from mlflow.utils.uri import is_databricks_uri
from mlflow.utils.workspace_context import get_request_workspace
class WorkspaceRestStoreMixin:
... | {
"repo_id": "mlflow/mlflow",
"file_path": "mlflow/store/workspace_rest_store_mixin.py",
"license": "Apache License 2.0",
"lines": 71,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
mlflow/mlflow:mlflow/tracking/_workspace/client.py | from __future__ import annotations
from mlflow.entities.workspace import Workspace, WorkspaceDeletionMode
from mlflow.tracking._workspace.registry import get_workspace_store
class WorkspaceProviderClient:
"""
Client that exposes workspace CRUD operations via the configured provider.
The provider is reso... | {
"repo_id": "mlflow/mlflow",
"file_path": "mlflow/tracking/_workspace/client.py",
"license": "Apache License 2.0",
"lines": 72,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
mlflow/mlflow:mlflow/tracking/_workspace/fluent.py | from __future__ import annotations
import threading
from typing import Callable, TypeVar
from mlflow.entities.workspace import Workspace, WorkspaceDeletionMode
from mlflow.exceptions import MlflowException, RestException
from mlflow.protos import databricks_pb2
from mlflow.protos.databricks_pb2 import FEATURE_DISABLE... | {
"repo_id": "mlflow/mlflow",
"file_path": "mlflow/tracking/_workspace/fluent.py",
"license": "Apache License 2.0",
"lines": 115,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
mlflow/mlflow:mlflow/tracking/_workspace/registry.py | from __future__ import annotations
import threading
import warnings
from functools import lru_cache, partial
from mlflow.exceptions import MlflowException
from mlflow.protos.databricks_pb2 import INVALID_PARAMETER_VALUE
from mlflow.store.db.db_types import DATABASE_ENGINES
from mlflow.tracking.registry import StoreRe... | {
"repo_id": "mlflow/mlflow",
"file_path": "mlflow/tracking/_workspace/registry.py",
"license": "Apache License 2.0",
"lines": 82,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
mlflow/mlflow:mlflow/utils/workspace_context.py | from __future__ import annotations
from contextvars import ContextVar, Token
from mlflow.environment_variables import MLFLOW_WORKSPACE
from mlflow.utils.workspace_utils import DEFAULT_WORKSPACE_NAME
_WORKSPACE: ContextVar[str | None] = ContextVar("mlflow_active_workspace", default=None)
_IS_WORKSPACE_RESOLVED: Conte... | {
"repo_id": "mlflow/mlflow",
"file_path": "mlflow/utils/workspace_context.py",
"license": "Apache License 2.0",
"lines": 70,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
mlflow/mlflow:mlflow/utils/workspace_utils.py | from __future__ import annotations
from mlflow.environment_variables import MLFLOW_WORKSPACE, MLFLOW_WORKSPACE_STORE_URI
_workspace_store_uri: str | None = None
DEFAULT_WORKSPACE_NAME = "default"
WORKSPACES_DIR_NAME = "workspaces"
WORKSPACE_HEADER_NAME = "X-MLFLOW-WORKSPACE"
def _normalize_workspace(workspace: str... | {
"repo_id": "mlflow/mlflow",
"file_path": "mlflow/utils/workspace_utils.py",
"license": "Apache License 2.0",
"lines": 83,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | documentation |
mlflow/mlflow:tests/db/test_workspace_migration.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... | {
"repo_id": "mlflow/mlflow",
"file_path": "tests/db/test_workspace_migration.py",
"license": "Apache License 2.0",
"lines": 1099,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:tests/helpers/db_mocks.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()
... | {
"repo_id": "mlflow/mlflow",
"file_path": "tests/helpers/db_mocks.py",
"license": "Apache License 2.0",
"lines": 18,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:tests/server/auth/test_auth_workspace.py | import json
from contextlib import contextmanager
from types import SimpleNamespace
from unittest.mock import MagicMock, Mock
import pytest
from flask import Response, request
from mlflow.environment_variables import MLFLOW_ENABLE_WORKSPACES
from mlflow.exceptions import MlflowException
from mlflow.protos.databricks_... | {
"repo_id": "mlflow/mlflow",
"file_path": "tests/server/auth/test_auth_workspace.py",
"license": "Apache License 2.0",
"lines": 987,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:tests/server/auth/test_client_workspace.py | from contextlib import contextmanager
import pytest
import requests
from mlflow import MlflowException
from mlflow.environment_variables import (
MLFLOW_ENABLE_WORKSPACES,
MLFLOW_FLASK_SERVER_SECRET_KEY,
MLFLOW_TRACKING_PASSWORD,
MLFLOW_TRACKING_USERNAME,
MLFLOW_WORKSPACE_STORE_URI,
)
from mlflow.... | {
"repo_id": "mlflow/mlflow",
"file_path": "tests/server/auth/test_client_workspace.py",
"license": "Apache License 2.0",
"lines": 309,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:tests/server/auth/test_sqlalchemy_store_workspace.py | import pytest
from mlflow.environment_variables import MLFLOW_ENABLE_WORKSPACES
from mlflow.exceptions import MlflowException
from mlflow.server.auth.entities import WorkspacePermission
from mlflow.server.auth.permissions import EDIT, MANAGE, NO_PERMISSIONS, READ
from mlflow.server.auth.sqlalchemy_store import SqlAlch... | {
"repo_id": "mlflow/mlflow",
"file_path": "tests/server/auth/test_sqlalchemy_store_workspace.py",
"license": "Apache License 2.0",
"lines": 179,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:tests/server/jobs/test_jobs_workspace.py | import json
import uuid
from pathlib import Path
from unittest.mock import MagicMock, patch
import pytest
from mlflow.entities import Workspace
from mlflow.environment_variables import MLFLOW_ENABLE_WORKSPACES
from mlflow.exceptions import MlflowException
from mlflow.genai.scorers.builtin_scorers import Completeness
... | {
"repo_id": "mlflow/mlflow",
"file_path": "tests/server/jobs/test_jobs_workspace.py",
"license": "Apache License 2.0",
"lines": 75,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:tests/server/test_otel_api.py | from unittest import mock
from fastapi import FastAPI
from fastapi.testclient import TestClient
from opentelemetry.proto.collector.trace.v1.trace_service_pb2 import ExportTraceServiceRequest
from mlflow.entities import Workspace
from mlflow.environment_variables import MLFLOW_ENABLE_WORKSPACES
from mlflow.server.fast... | {
"repo_id": "mlflow/mlflow",
"file_path": "tests/server/test_otel_api.py",
"license": "Apache License 2.0",
"lines": 209,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:tests/server/test_workspace_endpoints.py | from __future__ import annotations
import json
from unittest import mock
import pytest
from flask import Flask
from mlflow.entities.workspace import Workspace, WorkspaceDeletionMode
from mlflow.server.handlers import get_endpoints
@pytest.fixture(autouse=True)
def enable_workspaces(monkeypatch):
monkeypatch.se... | {
"repo_id": "mlflow/mlflow",
"file_path": "tests/server/test_workspace_endpoints.py",
"license": "Apache License 2.0",
"lines": 188,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:tests/server/test_workspace_middleware.py | from __future__ import annotations
import pytest
import werkzeug
from fastapi import FastAPI
from fastapi.testclient import TestClient
from flask import Flask
from mlflow.entities import Workspace
from mlflow.environment_variables import MLFLOW_ENABLE_WORKSPACES
from mlflow.exceptions import MlflowException
from mlfl... | {
"repo_id": "mlflow/mlflow",
"file_path": "tests/server/test_workspace_middleware.py",
"license": "Apache License 2.0",
"lines": 147,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:tests/store/model_registry/test_rest_store_workspace.py | from unittest import mock
import pytest
from mlflow.exceptions import MlflowException
from mlflow.store.model_registry.rest_store import RestStore
from mlflow.utils.rest_utils import MlflowHostCreds
ACTIVE_WORKSPACE = "team-a"
def test_model_registry_rest_store_workspace_guard():
creds = MlflowHostCreds("https... | {
"repo_id": "mlflow/mlflow",
"file_path": "tests/store/model_registry/test_rest_store_workspace.py",
"license": "Apache License 2.0",
"lines": 19,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:tests/store/model_registry/test_sqlalchemy_workspace_store.py | import shutil
import uuid
import pytest
from mlflow.entities.model_registry import ModelVersionTag, RegisteredModelTag
from mlflow.entities.webhook import WebhookAction, WebhookEntity, WebhookEvent
from mlflow.environment_variables import MLFLOW_ENABLE_WORKSPACES
from mlflow.exceptions import MlflowException
from mlf... | {
"repo_id": "mlflow/mlflow",
"file_path": "tests/store/model_registry/test_sqlalchemy_workspace_store.py",
"license": "Apache License 2.0",
"lines": 330,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:tests/store/tracking/test_rest_store_workspace.py | from unittest import mock
import pytest
from mlflow.exceptions import MlflowException
from mlflow.store.tracking.rest_store import RestStore
from mlflow.utils.rest_utils import MlflowHostCreds
ACTIVE_WORKSPACE = "team-a"
def test_supports_workspaces_queries_endpoint():
creds = MlflowHostCreds("https://example"... | {
"repo_id": "mlflow/mlflow",
"file_path": "tests/store/tracking/test_rest_store_workspace.py",
"license": "Apache License 2.0",
"lines": 84,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:tests/store/tracking/test_sqlalchemy_workspace_store.py | import math
import time
import uuid
from pathlib import Path
from unittest import mock
import pytest
from mlflow.entities import (
Dataset,
DatasetInput,
Experiment,
ExperimentTag,
GatewayEndpointModelConfig,
GatewayModelLinkageType,
GatewayResourceType,
InputTag,
LoggedModelParame... | {
"repo_id": "mlflow/mlflow",
"file_path": "tests/store/tracking/test_sqlalchemy_workspace_store.py",
"license": "Apache License 2.0",
"lines": 1842,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:tests/store/workspace/test_rest_store.py | from __future__ import annotations
import json
from types import SimpleNamespace
from unittest import mock
import pytest
from mlflow.entities.workspace import Workspace, WorkspaceDeletionMode
from mlflow.exceptions import MlflowException, RestException
from mlflow.protos.service_pb2 import (
CreateWorkspace,
... | {
"repo_id": "mlflow/mlflow",
"file_path": "tests/store/workspace/test_rest_store.py",
"license": "Apache License 2.0",
"lines": 134,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:tests/store/workspace/test_sqlalchemy_store.py | import pytest
import sqlalchemy as sa
from sqlalchemy.exc import IntegrityError
from mlflow.entities.workspace import Workspace, WorkspaceDeletionMode
from mlflow.exceptions import MlflowException
from mlflow.store.workspace.dbmodels.models import SqlWorkspace
from mlflow.store.workspace.sqlalchemy_store import SqlAlc... | {
"repo_id": "mlflow/mlflow",
"file_path": "tests/store/workspace/test_sqlalchemy_store.py",
"license": "Apache License 2.0",
"lines": 319,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:tests/store/workspace/test_workspace_validator.py | import pytest
from mlflow.exceptions import MlflowException
from mlflow.store.workspace.abstract_store import WorkspaceNameValidator
@pytest.mark.parametrize(
"name",
[
"team-a",
"ab",
"a" * 63,
"123",
"a1-b2",
],
)
def test_workspace_name_validator_accepts_valid_n... | {
"repo_id": "mlflow/mlflow",
"file_path": "tests/store/workspace/test_workspace_validator.py",
"license": "Apache License 2.0",
"lines": 33,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:tests/tracking/test_client_workspace.py | from __future__ import annotations
from mlflow import MlflowClient
from mlflow.environment_variables import MLFLOW_TRACKING_URI, MLFLOW_WORKSPACE_STORE_URI
from mlflow.tracking._workspace import fluent as workspace_fluent
from mlflow.utils.workspace_utils import DEFAULT_WORKSPACE_NAME
def test_mlflow_client_resolves... | {
"repo_id": "mlflow/mlflow",
"file_path": "tests/tracking/test_client_workspace.py",
"license": "Apache License 2.0",
"lines": 97,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:tests/tracking/test_workspace_registry.py | from __future__ import annotations
import pytest
from mlflow.store.workspace.rest_store import RestWorkspaceStore
from mlflow.store.workspace.sqlalchemy_store import SqlAlchemyStore
from mlflow.tracking._workspace.registry import (
UnsupportedWorkspaceStoreURIException,
_get_workspace_store_registry,
get_... | {
"repo_id": "mlflow/mlflow",
"file_path": "tests/tracking/test_workspace_registry.py",
"license": "Apache License 2.0",
"lines": 30,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:tests/tracking/test_workspace_utils.py | import pytest
from mlflow.environment_variables import MLFLOW_TRACKING_URI, MLFLOW_WORKSPACE_STORE_URI
from mlflow.utils.workspace_utils import resolve_workspace_store_uri, set_workspace_store_uri
@pytest.fixture(autouse=True)
def _reset_workspace_uri(monkeypatch):
set_workspace_store_uri(None)
monkeypatch.d... | {
"repo_id": "mlflow/mlflow",
"file_path": "tests/tracking/test_workspace_utils.py",
"license": "Apache License 2.0",
"lines": 27,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:tests/utils/test_workspace_utils.py | from __future__ import annotations
import os
from mlflow.environment_variables import MLFLOW_WORKSPACE
from mlflow.utils.workspace_context import WorkspaceContext, clear_server_request_workspace
from mlflow.utils.workspace_utils import (
DEFAULT_WORKSPACE_NAME,
resolve_entity_workspace_name,
)
def teardown_... | {
"repo_id": "mlflow/mlflow",
"file_path": "tests/utils/test_workspace_utils.py",
"license": "Apache License 2.0",
"lines": 28,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:dev/clint/src/clint/rules/unused_disable_comment.py | from clint.rules.base import Rule
class UnusedDisableComment(Rule):
def __init__(self, rule_name: str) -> None:
self.rule_name = rule_name
def _message(self) -> str:
return f"Unused disable comment for rule `{self.rule_name}`"
| {
"repo_id": "mlflow/mlflow",
"file_path": "dev/clint/src/clint/rules/unused_disable_comment.py",
"license": "Apache License 2.0",
"lines": 6,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
mlflow/mlflow:dev/clint/tests/rules/test_unused_disable_comment.py | from pathlib import Path
from clint.config import Config
from clint.linter import Position, Range, lint_file
from clint.rules import UnusedDisableComment
def test_stale_disable_comment(index_path: Path) -> None:
code = """
import os # clint: disable=lazy-import
"""
config = Config(select={UnusedDisableComme... | {
"repo_id": "mlflow/mlflow",
"file_path": "dev/clint/tests/rules/test_unused_disable_comment.py",
"license": "Apache License 2.0",
"lines": 72,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:dev/clint/tests/test_ignore_map.py | from clint.linter import DisableComment, parse_disable_comments
def test_single_rule() -> None:
code = """
x = 1 # clint: disable=rule-a
y = 2
"""
assert parse_disable_comments(code) == [DisableComment("rule-a", 1, 9, 1)]
def test_multiple_rules() -> None:
code = """
x = 1 # clint: disable=rule-a,rule... | {
"repo_id": "mlflow/mlflow",
"file_path": "dev/clint/tests/test_ignore_map.py",
"license": "Apache License 2.0",
"lines": 61,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:mlflow/tracing/sampling.py | import contextvars
from opentelemetry.sdk.trace.sampling import (
Sampler,
SamplingResult,
TraceIdRatioBased,
)
# Context variable to override the sampling ratio for a specific trace.
# When set, the sampler uses this ratio instead of the default.
_SAMPLING_RATIO_OVERRIDE = contextvars.ContextVar("samplin... | {
"repo_id": "mlflow/mlflow",
"file_path": "mlflow/tracing/sampling.py",
"license": "Apache License 2.0",
"lines": 40,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
mlflow/mlflow:tests/gateway/test_tracing_utils.py | import pytest
import mlflow
from mlflow.entities import SpanType
from mlflow.gateway.schemas.chat import StreamResponsePayload
from mlflow.gateway.tracing_utils import (
_get_model_span_info,
aggregate_chat_stream_chunks,
maybe_traced_gateway_call,
)
from mlflow.store.tracking.gateway.entities import Gatew... | {
"repo_id": "mlflow/mlflow",
"file_path": "tests/gateway/test_tracing_utils.py",
"license": "Apache License 2.0",
"lines": 516,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:mlflow/gateway/tracing_utils.py | import dataclasses
import functools
import inspect
import logging
from collections.abc import Callable
from typing import Any
import mlflow
from mlflow.entities import SpanStatus, SpanType
from mlflow.entities.trace_location import MlflowExperimentLocation
from mlflow.gateway.config import GatewayRequestType
from mlfl... | {
"repo_id": "mlflow/mlflow",
"file_path": "mlflow/gateway/tracing_utils.py",
"license": "Apache License 2.0",
"lines": 296,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
mlflow/mlflow:mlflow/cli/datasets.py | import json
from typing import Any, Literal
import click
from mlflow import MlflowClient
from mlflow.environment_variables import MLFLOW_EXPERIMENT_ID
from mlflow.utils.string_utils import _create_table
from mlflow.utils.time import conv_longdate_to_str
EXPERIMENT_ID = click.option(
"--experiment-id",
"-x",
... | {
"repo_id": "mlflow/mlflow",
"file_path": "mlflow/cli/datasets.py",
"license": "Apache License 2.0",
"lines": 119,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
mlflow/mlflow:tests/cli/test_datasets.py | import json
import pytest
from click.testing import CliRunner
import mlflow
from mlflow.cli.datasets import commands
from mlflow.genai.datasets import create_dataset
@pytest.fixture
def runner():
return CliRunner(catch_exceptions=False)
@pytest.fixture
def experiment():
exp_id = mlflow.create_experiment("... | {
"repo_id": "mlflow/mlflow",
"file_path": "tests/cli/test_datasets.py",
"license": "Apache License 2.0",
"lines": 129,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:tests/gateway/providers/test_tracing.py | import time
from typing import Any
from unittest import mock
import pytest
import mlflow
from mlflow.entities.trace_state import TraceState
from mlflow.gateway.providers.base import BaseProvider, PassthroughAction
from mlflow.gateway.schemas import chat, embeddings
from mlflow.tracing.client import TracingClient
from... | {
"repo_id": "mlflow/mlflow",
"file_path": "tests/gateway/providers/test_tracing.py",
"license": "Apache License 2.0",
"lines": 403,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:mlflow/cli/demo.py | import contextlib
import logging
import os
import threading
import time
import webbrowser
from collections.abc import Generator
from pathlib import Path
from urllib.parse import urljoin
import click
NOISY_LOGGERS = [
"alembic",
"mlflow.store",
"mlflow.tracking",
"mlflow.tracing",
"mlflow.genai",
... | {
"repo_id": "mlflow/mlflow",
"file_path": "mlflow/cli/demo.py",
"license": "Apache License 2.0",
"lines": 251,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
mlflow/mlflow:tests/demo/test_api_routes.py | from pathlib import Path
import pytest
import requests
import mlflow
from mlflow.server import handlers
from mlflow.server.fastapi_app import app
from mlflow.server.handlers import initialize_backend_stores
from tests.helper_functions import get_safe_port
from tests.tracking.integration_test_utils import ServerThrea... | {
"repo_id": "mlflow/mlflow",
"file_path": "tests/demo/test_api_routes.py",
"license": "Apache License 2.0",
"lines": 71,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:tests/demo/test_cli.py | """Tests for the mlflow demo CLI command.
Includes both quick help/registration tests and functional tests that
invoke the actual CLI command with a mocked server.
"""
import socket
import sys
from unittest import mock
import click
import pytest
from click.testing import CliRunner
import mlflow
from mlflow.cli impo... | {
"repo_id": "mlflow/mlflow",
"file_path": "tests/demo/test_cli.py",
"license": "Apache License 2.0",
"lines": 127,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:mlflow/genai/simulators/distillation.py | from __future__ import annotations
import logging
from concurrent.futures import ThreadPoolExecutor, as_completed
from typing import TYPE_CHECKING
import pydantic
from mlflow.environment_variables import MLFLOW_GENAI_EVAL_MAX_WORKERS
from mlflow.genai.simulators.prompts import DISTILL_GOAL_AND_PERSONA_PROMPT
from ml... | {
"repo_id": "mlflow/mlflow",
"file_path": "mlflow/genai/simulators/distillation.py",
"license": "Apache License 2.0",
"lines": 138,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
mlflow/mlflow:mlflow/genai/simulators/utils.py | from __future__ import annotations
import json
import logging
from contextlib import contextmanager
from typing import TYPE_CHECKING, Any
import mlflow
from mlflow.exceptions import MlflowException
from mlflow.genai.judges.adapters.databricks_managed_judge_adapter import (
call_chat_completions,
create_litell... | {
"repo_id": "mlflow/mlflow",
"file_path": "mlflow/genai/simulators/utils.py",
"license": "Apache License 2.0",
"lines": 111,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
mlflow/mlflow:tests/genai/simulators/test_distillation.py | from unittest import mock
import pydantic
import pytest
from mlflow.entities.session import Session
from mlflow.genai.simulators.distillation import (
_distill_goal_and_persona,
_GoalAndPersona,
generate_test_cases,
)
@pytest.fixture
def mock_session():
trace = mock.MagicMock()
return Session([t... | {
"repo_id": "mlflow/mlflow",
"file_path": "tests/genai/simulators/test_distillation.py",
"license": "Apache License 2.0",
"lines": 175,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:tests/genai/simulators/test_utils.py | from unittest import mock
import pytest
from mlflow.genai.simulators.utils import (
format_history,
get_default_simulation_model,
invoke_model_without_tracing,
)
@pytest.mark.parametrize(
("history", "expected"),
[
([], None),
([{"role": "user", "content": "Hello"}], "user: Hello... | {
"repo_id": "mlflow/mlflow",
"file_path": "tests/genai/simulators/test_utils.py",
"license": "Apache License 2.0",
"lines": 80,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:examples/livekit/voice_agent.py | import logging
import os
from livekit.agents import JobContext, JobProcess, WorkerOptions, cli
from livekit.agents.telemetry import set_tracer_provider
from livekit.agents.voice import Agent, AgentSession
from livekit.plugins import openai, silero
from opentelemetry import trace
from opentelemetry.exporter.otlp.proto.... | {
"repo_id": "mlflow/mlflow",
"file_path": "examples/livekit/voice_agent.py",
"license": "Apache License 2.0",
"lines": 59,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
mlflow/mlflow:mlflow/tracing/otel/translation/livekit.py | """
Translation utilities for LiveKit Agents semantic conventions.
LiveKit Agents (Python SDK) provides real-time AI voice agents with built-in
OpenTelemetry support. This translator maps LiveKit's span attributes to MLflow's
semantic conventions for optimal visualization.
Reference:
- https://docs.livekit.io/agents/... | {
"repo_id": "mlflow/mlflow",
"file_path": "mlflow/tracing/otel/translation/livekit.py",
"license": "Apache License 2.0",
"lines": 91,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | documentation |
mlflow/mlflow:tests/tracing/otel/test_livekit_translator.py | import json
from unittest import mock
import pytest
from mlflow.entities.span import Span, SpanType
from mlflow.tracing.constant import SpanAttributeKey
from mlflow.tracing.otel.translation import (
translate_span_type_from_otel,
translate_span_when_storing,
)
from mlflow.tracing.otel.translation.livekit impo... | {
"repo_id": "mlflow/mlflow",
"file_path": "tests/tracing/otel/test_livekit_translator.py",
"license": "Apache License 2.0",
"lines": 263,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:mlflow/entities/session.py | from __future__ import annotations
from typing import TYPE_CHECKING, Iterator
from mlflow.tracing.constant import TraceMetadataKey
if TYPE_CHECKING:
from mlflow.entities import Trace
class Session:
"""
A session object representing a group of traces that share the same session ID.
Sessions typical... | {
"repo_id": "mlflow/mlflow",
"file_path": "mlflow/entities/session.py",
"license": "Apache License 2.0",
"lines": 32,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
mlflow/mlflow:mlflow/genai/utils/gateway_utils.py | from __future__ import annotations
import base64
import os
from dataclasses import dataclass
from mlflow.environment_variables import MLFLOW_GATEWAY_URI
from mlflow.exceptions import MlflowException
from mlflow.tracking import get_tracking_uri
from mlflow.utils.uri import append_to_uri_path, is_http_uri
@dataclass
... | {
"repo_id": "mlflow/mlflow",
"file_path": "mlflow/genai/utils/gateway_utils.py",
"license": "Apache License 2.0",
"lines": 53,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
mlflow/mlflow:tests/genai/utils/test_gateway_utils.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
@pytest.mark.parametrize(
("gateway_uri", "tracking_uri", "endpoint_name", "expected_api_base"),
[
# MLFLO... | {
"repo_id": "mlflow/mlflow",
"file_path": "tests/genai/utils/test_gateway_utils.py",
"license": "Apache License 2.0",
"lines": 96,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:mlflow/genai/scorers/trulens/models.py | from __future__ import annotations
from typing import TYPE_CHECKING, Any
from mlflow.exceptions import MlflowException
from mlflow.genai.judges.adapters.databricks_managed_judge_adapter import (
call_chat_completions,
)
from mlflow.genai.judges.constants import _DATABRICKS_DEFAULT_JUDGE_MODEL
from mlflow.genai.ut... | {
"repo_id": "mlflow/mlflow",
"file_path": "mlflow/genai/scorers/trulens/models.py",
"license": "Apache License 2.0",
"lines": 71,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
mlflow/mlflow:mlflow/genai/scorers/trulens/registry.py | from __future__ import annotations
import re
from typing import Any
# Mapping: metric name -> (feedback method name, argument mapping)
# Argument mapping: generic key -> TruLens-specific argument name
_METRIC_REGISTRY: dict[str, tuple[str, dict[str, str]]] = {
# RAG metrics
"Groundedness": (
"grounded... | {
"repo_id": "mlflow/mlflow",
"file_path": "mlflow/genai/scorers/trulens/registry.py",
"license": "Apache License 2.0",
"lines": 55,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
mlflow/mlflow:mlflow/genai/scorers/trulens/scorers/agent_trace.py | """
Agent trace scorers for goal-plan-action alignment evaluation.
These scorers analyze agent execution traces to detect internal errors and
evaluate the quality of agent reasoning, planning, and tool usage.
Based on TruLens' benchmarked goal-plan-action alignment evaluations which achieve
95% error coverage against... | {
"repo_id": "mlflow/mlflow",
"file_path": "mlflow/genai/scorers/trulens/scorers/agent_trace.py",
"license": "Apache License 2.0",
"lines": 205,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | documentation |
mlflow/mlflow:mlflow/genai/scorers/trulens/utils.py | from __future__ import annotations
import logging
from typing import Any
from mlflow.entities.trace import Trace
from mlflow.genai.scorers.trulens.registry import build_trulens_args
from mlflow.genai.utils.trace_utils import (
extract_retrieval_context_from_trace,
parse_inputs_to_str,
parse_outputs_to_str... | {
"repo_id": "mlflow/mlflow",
"file_path": "mlflow/genai/scorers/trulens/utils.py",
"license": "Apache License 2.0",
"lines": 85,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
mlflow/mlflow:mlflow/genai/utils/message_utils.py | from __future__ import annotations
from typing import Any
def serialize_messages_to_prompts(
messages: list[Any],
) -> tuple[str, str | None]:
"""
Serialize messages to user_prompt and system_prompt strings.
Handles both litellm Message objects and message dicts with 'role' and 'content' keys.
T... | {
"repo_id": "mlflow/mlflow",
"file_path": "mlflow/genai/utils/message_utils.py",
"license": "Apache License 2.0",
"lines": 55,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
mlflow/mlflow:tests/genai/scorers/trulens/scorers/test_agent_trace.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... | {
"repo_id": "mlflow/mlflow",
"file_path": "tests/genai/scorers/trulens/scorers/test_agent_trace.py",
"license": "Apache License 2.0",
"lines": 120,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:tests/genai/scorers/trulens/test_models.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.scorers.trulens.model... | {
"repo_id": "mlflow/mlflow",
"file_path": "tests/genai/scorers/trulens/test_models.py",
"license": "Apache License 2.0",
"lines": 62,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:tests/genai/scorers/trulens/test_registry.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"),... | {
"repo_id": "mlflow/mlflow",
"file_path": "tests/genai/scorers/trulens/test_registry.py",
"license": "Apache License 2.0",
"lines": 31,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:tests/genai/scorers/trulens/test_trulens.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.genai.judges.utils import CategoricalRating
@pytest.fixture
def mock_provider():
mock = Mock()
mock.... | {
"repo_id": "mlflow/mlflow",
"file_path": "tests/genai/scorers/trulens/test_trulens.py",
"license": "Apache License 2.0",
"lines": 105,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:tests/genai/scorers/trulens/test_utils.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... | {
"repo_id": "mlflow/mlflow",
"file_path": "tests/genai/scorers/trulens/test_utils.py",
"license": "Apache License 2.0",
"lines": 109,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:tests/genai/utils/test_message_utils.py | import pytest
from mlflow.genai.utils.message_utils import serialize_messages_to_prompts
from mlflow.types.llm import ChatMessage, FunctionToolCallArguments, ToolCall
@pytest.mark.parametrize(
("messages", "expected_user_prompt", "expected_system_prompt"),
[
# Basic user message (object)
(
... | {
"repo_id": "mlflow/mlflow",
"file_path": "tests/genai/utils/test_message_utils.py",
"license": "Apache License 2.0",
"lines": 172,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:dev/gen_rest_api.py | # /// script
# dependencies = ["texttable"]
# ///
"""Generate RST documentation from protobuf JSON definitions."""
from __future__ import annotations
import json
import logging
import re
from enum import Enum
from pathlib import Path
from textwrap import dedent
from typing import Any
from texttable import Texttable
... | {
"repo_id": "mlflow/mlflow",
"file_path": "dev/gen_rest_api.py",
"license": "Apache License 2.0",
"lines": 755,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
mlflow/mlflow:dev/proto_plugin.py | import json
import sys
import textwrap
from dataclasses import asdict, dataclass
from dataclasses import field as dataclass_field
from enum import Enum
from google.protobuf import descriptor_pb2
from google.protobuf.compiler import plugin_pb2
from mlflow.protos import databricks_pb2
class Visibility(Enum):
PUBL... | {
"repo_id": "mlflow/mlflow",
"file_path": "dev/proto_plugin.py",
"license": "Apache License 2.0",
"lines": 460,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
mlflow/mlflow:mlflow/genai/scorers/guardrails/registry.py | from __future__ import annotations
from mlflow.exceptions import MlflowException
_SUPPORTED_VALIDATORS = [
"ToxicLanguage",
"NSFWText",
"DetectJailbreak",
"DetectPII",
"SecretsPresent",
"GibberishText",
]
def get_validator_class(validator_name: str):
"""
Get Guardrails AI validator c... | {
"repo_id": "mlflow/mlflow",
"file_path": "mlflow/genai/scorers/guardrails/registry.py",
"license": "Apache License 2.0",
"lines": 32,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
mlflow/mlflow:mlflow/genai/scorers/guardrails/utils.py | from __future__ import annotations
from typing import Any
from mlflow.entities.trace import Trace
from mlflow.exceptions import MlflowException
from mlflow.genai.utils.trace_utils import (
parse_inputs_to_str,
parse_outputs_to_str,
resolve_inputs_from_trace,
resolve_outputs_from_trace,
)
def check_g... | {
"repo_id": "mlflow/mlflow",
"file_path": "mlflow/genai/scorers/guardrails/utils.py",
"license": "Apache License 2.0",
"lines": 47,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
mlflow/mlflow:tests/genai/scorers/guardrails/test_guardrails.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... | {
"repo_id": "mlflow/mlflow",
"file_path": "tests/genai/scorers/guardrails/test_guardrails.py",
"license": "Apache License 2.0",
"lines": 210,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:tests/genai/scorers/guardrails/test_registry.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", "... | {
"repo_id": "mlflow/mlflow",
"file_path": "tests/genai/scorers/guardrails/test_registry.py",
"license": "Apache License 2.0",
"lines": 30,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:tests/genai/scorers/guardrails/test_utils.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... | {
"repo_id": "mlflow/mlflow",
"file_path": "tests/genai/scorers/guardrails/test_utils.py",
"license": "Apache License 2.0",
"lines": 49,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:mlflow/demo/generators/prompts.py | from __future__ import annotations
import logging
from mlflow.demo.base import (
DEMO_EXPERIMENT_NAME,
DEMO_PROMPT_PREFIX,
BaseDemoGenerator,
DemoFeature,
DemoResult,
)
from mlflow.demo.data import DEMO_PROMPTS, DemoPromptDef
from mlflow.genai.prompts import (
delete_prompt_alias,
register... | {
"repo_id": "mlflow/mlflow",
"file_path": "mlflow/demo/generators/prompts.py",
"license": "Apache License 2.0",
"lines": 110,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
mlflow/mlflow:tests/demo/test_prompts_generator.py | import pytest
from mlflow.demo.base import DEMO_PROMPT_PREFIX, DemoFeature, DemoResult
from mlflow.demo.data import DEMO_PROMPTS
from mlflow.demo.generators.prompts import PromptsDemoGenerator
from mlflow.genai.prompts import load_prompt, search_prompts
@pytest.fixture
def prompts_generator():
generator = Prompt... | {
"repo_id": "mlflow/mlflow",
"file_path": "tests/demo/test_prompts_generator.py",
"license": "Apache License 2.0",
"lines": 98,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:mlflow/demo/generators/evaluation.py | from __future__ import annotations
import contextlib
import hashlib
import io
import logging
import os
from collections.abc import Callable
from typing import TYPE_CHECKING, Literal
import mlflow
if TYPE_CHECKING:
from mlflow.genai.datasets import EvaluationDataset
from mlflow.demo.base import (
DEMO_EXPERI... | {
"repo_id": "mlflow/mlflow",
"file_path": "mlflow/demo/generators/evaluation.py",
"license": "Apache License 2.0",
"lines": 333,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
mlflow/mlflow:tests/demo/test_evaluation_generator.py | import pytest
import mlflow
from mlflow.demo.base import DEMO_EXPERIMENT_NAME, DemoFeature, DemoResult
from mlflow.demo.data import ALL_DEMO_TRACES
from mlflow.demo.generators.evaluation import EvaluationDemoGenerator
from mlflow.demo.generators.traces import TracesDemoGenerator
@pytest.fixture
def evaluation_genera... | {
"repo_id": "mlflow/mlflow",
"file_path": "tests/demo/test_evaluation_generator.py",
"license": "Apache License 2.0",
"lines": 84,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
mlflow/mlflow:mlflow/demo/data.py | from __future__ import annotations
from dataclasses import dataclass, field
from typing import Any
from mlflow.demo.base import DEMO_PROMPT_PREFIX
from mlflow.entities.model_registry import PromptVersion
# =============================================================================
# Prompt Data Definitions
# =====... | {
"repo_id": "mlflow/mlflow",
"file_path": "mlflow/demo/data.py",
"license": "Apache License 2.0",
"lines": 816,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
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