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 | mlflow/store/db_migrations/versions/27a6a02d2cf1_add_model_version_tags_table.py | .py | """add model version tags table
Create Date: 2020-06-26 13:30:27.611086
"""
import sqlalchemy as sa
from alembic import op
# revision identifiers, used by Alembic.
from mlflow.store.model_registry.dbmodels.models import SqlModelVersionTag
revision = "27a6a02d2cf1"
down_revision = "728d730b5ebd"
branch_labels = Non... | 37 | 1,011 |
mlflow | mlflow/store/db_migrations/versions/b7c8d9e0f1a2_add_trace_metrics_table.py | .py | """add trace metrics table
Create Date: 2025-12-04 12:00:00.000000
"""
import sqlalchemy as sa
from alembic import op
from mlflow.store.tracking.dbmodels.models import SqlTraceMetrics
# revision identifiers, used by Alembic.
revision = "b7c8d9e0f1a2"
down_revision = "1bd49d398cd23"
branch_labels = None
depends_on ... | 45 | 1,248 |
mlflow | mlflow/store/db_migrations/versions/534353b11cbc_add_scorer_table.py | .py | """add scorer tables
Create Date: 2025-01-27 10:00:00.000000
"""
import sqlalchemy as sa
from alembic import op
from mlflow.store.tracking.dbmodels.models import SqlScorer, SqlScorerVersion
# revision identifiers, used by Alembic.
revision = "534353b11cbc"
down_revision = "1a0cddfcaa16"
branch_labels = None
depend... | 70 | 2,315 |
mlflow | mlflow/store/db_migrations/versions/2d6e25af4d3e_increase_max_param_val_length.py | .py | """increase max param val length from 500 to 8000
Create Date: 2023-09-25 13:59:04.231744
"""
import sqlalchemy as sa
from alembic import op
# revision identifiers, used by Alembic.
revision = "2d6e25af4d3e"
down_revision = "7f2a7d5fae7d"
branch_labels = None
depends_on = None
def upgrade():
with op.batch_alt... | 32 | 731 |
mlflow | mlflow/store/db_migrations/versions/e1f2a3b4c5d6_add_budget_policies_table.py | .py | """add budget_policies table
Create Date: 2026-02-24 00:00:00.000000
"""
import sqlalchemy as sa
from alembic import op
# revision identifiers, used by Alembic.
revision = "e1f2a3b4c5d6"
down_revision = "1b5f0d9ad7c1"
branch_labels = None
depends_on = None
def upgrade():
op.create_table(
"budget_polic... | 45 | 1,587 |
mlflow | mlflow/store/db_migrations/versions/1bd49d398cd23_add_secrets_tables.py | .py | """add secrets tables
Create Date: 2025-11-20 12:22:19.451124
"""
import time
import sqlalchemy as sa
from alembic import op
# revision identifiers, used by Alembic.
revision = "1bd49d398cd23"
down_revision = "bf29a5ff90ea"
branch_labels = None
depends_on = None
# Trigger SQL for each database dialect to enforce... | 304 | 10,819 |
mlflow | mlflow/store/db_migrations/versions/0584bdc529eb_add_cascading_deletion_to_datasets_from_experiments.py | .py | """add cascading deletion to datasets from experiments
Create Date: 2024-11-11 15:27:53.189685
"""
import sqlalchemy as sa
from alembic import op
from mlflow.exceptions import MlflowException
from mlflow.store.tracking.dbmodels.models import SqlDataset, SqlExperiment
# revision identifiers, used by Alembic.
revisi... | 87 | 2,785 |
mlflow | mlflow/store/db_migrations/versions/c9d4e5f6a7b8_add_routing_strategy_to_endpoints.py | .py | """add routing strategy to endpoints and linkage type to mappings
Create Date: 2025-12-18 00:00:00.000000
"""
import sqlalchemy as sa
from alembic import op
# revision identifiers, used by Alembic.
revision = "c9d4e5f6a7b8"
down_revision = "5d2d30f0abce"
branch_labels = None
depends_on = None
def upgrade():
#... | 55 | 2,048 |
mlflow | mlflow/store/db_migrations/versions/89d4b8295536_create_latest_metrics_table.py | .py | """create latest metrics table
Create Date: 2019-08-20 11:53:28.178479
"""
import logging
import time
from alembic import op
from sqlalchemy import (
BigInteger,
Boolean,
Column,
Float,
ForeignKey,
PrimaryKeyConstraint,
String,
and_,
distinct,
func,
orm,
)
from mlflow.st... | 168 | 5,586 |
mlflow | mlflow/store/db_migrations/versions/5d2d30f0abce_update_job_table.py | .py | """update job table
Create Date: 2025-12-16 16:31:47.921120
"""
from alembic import op
from sqlalchemy import String
# revision identifiers, used by Alembic.
revision = "5d2d30f0abce"
down_revision = "b7c8d9e0f1a2"
branch_labels = None
depends_on = None
def upgrade():
# Rename column `function_fullname` -> `j... | 50 | 1,630 |
mlflow | mlflow/store/db_migrations/versions/cc1f77228345_change_param_value_length_to_500.py | .py | """change param value length to 500
Create Date: 2022-08-04 22:40:56.960003
"""
import sqlalchemy as sa
from alembic import op
# revision identifiers, used by Alembic.
revision = "cc1f77228345"
down_revision = "0c779009ac13"
branch_labels = None
depends_on = None
def upgrade():
"""
Enlarge the maximum par... | 33 | 636 |
mlflow | mlflow/store/db_migrations/versions/f5a4f2784254_increase_run_tag_value_limit.py | .py | """increase run tag value limit to 8000
Create Date: 2024-09-18 08:53:51.552934
"""
import sqlalchemy as sa
from alembic import op
# revision identifiers, used by Alembic.
revision = "f5a4f2784254"
down_revision = "4465047574b1"
branch_labels = None
depends_on = None
def upgrade():
# Use batch mode so that we... | 35 | 970 |
mlflow | mlflow/store/db_migrations/versions/71994744cf8e_add_evaluation_datasets.py | .py | """add evaluation datasets
Revision ID: 71994744cf8e
Revises: 534353b11cbc
Create Date: 2025-08-12 14:30:00.000000
"""
import sqlalchemy as sa
from alembic import op
from sqlalchemy.dialects import mssql
# revision identifiers, used by Alembic.
revision = "71994744cf8e"
down_revision = "534353b11cbc"
branch_labels ... | 130 | 4,814 |
mlflow | mlflow/store/db_migrations/versions/0a8213491aaa_drop_duplicate_killed_constraint.py | .py | """drop_duplicate_killed_constraint
Create Date: 2020-01-28 15:26:14.757445
This migration drops a duplicate constraint on the `runs.status` column that was left as a byproduct
of an erroneous implementation of the `cfd24bdc0731_update_run_status_constraint_with_killed`
migration in MLflow 1.5. The implementation of ... | 48 | 1,944 |
mlflow | mlflow/store/db_migrations/versions/7ac759974ad8_update_run_tags_with_larger_limit.py | .py | """Update run tags with larger limit
Create Date: 2019-07-30 16:36:54.256382
"""
import sqlalchemy as sa
from alembic import op
# revision identifiers, used by Alembic.
revision = "7ac759974ad8"
down_revision = "df50e92ffc5e"
branch_labels = None
depends_on = None
def upgrade():
# Use batch mode so that we ca... | 35 | 966 |
mlflow | mlflow/store/db_migrations/versions/a8b9c0d1e2f3_add_mcp_server_registry_tables.py | .py | """add MCP server registry tables
Create Date: 2026-05-11
"""
import sqlalchemy as sa
from alembic import op
from sqlalchemy.dialects import mssql
revision = "a8b9c0d1e2f3"
down_revision = "b7e4c1a90f23"
branch_labels = None
depends_on = None
def _get_json_type():
dialect_name = op.get_bind().dialect.name
... | 237 | 8,614 |
mlflow | mlflow/store/db_migrations/versions/1971f2d9a75b_add_trace_archival_candidate_index.py | .py | """add trace archival candidate index
Revision ID: 1971f2d9a75b
Revises: 6f8d9c3b2a1e
Create Date: 2026-08-09 00:00:00.000000
"""
from alembic import op
# revision identifiers, used by Alembic.
revision = "1971f2d9a75b"
down_revision = "6f8d9c3b2a1e"
branch_labels = None
depends_on = None
def upgrade():
op.c... | 29 | 559 |
mlflow | mlflow/store/db_migrations/versions/6f8d9c3b2a1e_add_experiment_fk_cascades.py | .py | """Add ON DELETE CASCADE to `trace_info.experiment_id`.
Fixes https://github.com/mlflow/mlflow/issues/18781.
Create Date: 2026-07-09 21:16:54.445000
"""
from alembic import op
from mlflow.store.tracking.dbmodels.models import SqlExperiment, SqlTraceInfo
# revision identifiers, used by Alembic.
revision = "6f8d9c3... | 57 | 1,535 |
mlflow | mlflow/store/db_migrations/versions/c8d9e0f1a2b3_add_span_metrics_and_dimension_attributes.py | .py | """add span metrics table and dimension attributes column
Create Date: 2026-01-27 12:00:00.000000
"""
import sqlalchemy as sa
from alembic import op
from sqlalchemy.dialects import mssql
# revision identifiers, used by Alembic.
revision = "c8d9e0f1a2b3"
down_revision = "d0e1f2a3b4c5"
branch_labels = None
depends_on... | 65 | 1,971 |
mlflow | mlflow/store/db_migrations/versions/2b4d017a5e9b_add_model_registry_tables_to_db.py | .py | """add model registry tables to db
Create Date: 2019-10-14 12:20:12.874424
"""
import time
from alembic import op
from sqlalchemy import (
BigInteger,
Column,
ForeignKey,
Integer,
PrimaryKeyConstraint,
String,
orm,
)
from mlflow.entities.model_registry.model_version_stages import STAGE_... | 68 | 2,253 |
mlflow | mlflow/store/db_migrations/versions/cbc13b556ace_add_v3_trace_schema_columns.py | .py | """add V3 trace schema columns
Create Date: 2025-06-17 12:00:00.000000
"""
import sqlalchemy as sa
from alembic import op
# revision identifiers, used by Alembic.
revision = "cbc13b556ace"
down_revision = "bda7b8c39065"
branch_labels = None
depends_on = None
def upgrade():
# Add V3 specific columns to trace_i... | 30 | 928 |
mlflow | mlflow/store/db_migrations/versions/a8c4a736bde6_allow_nulls_for_run_id.py | .py | """allow nulls for run_id
Create Date: 2020-12-02 12:14:35.220815
"""
import sqlalchemy as sa
from alembic import op
from mlflow.store.model_registry.dbmodels.models import SqlModelVersion
# revision identifiers, used by Alembic.
revision = "a8c4a736bde6"
down_revision = "84291f40a231"
branch_labels = None
depends... | 26 | 535 |
mlflow | mlflow/store/db_migrations/versions/a1b2c3d4e5f6_add_spans_table.py | .py | """add spans table
Create Date: 2025-08-03 12:00:00.000000
"""
import sqlalchemy as sa
from alembic import op
from sqlalchemy.dialects.mysql import LONGTEXT
from mlflow.store.tracking.dbmodels.models import SqlSpan
# revision identifiers, used by Alembic.
revision = "a1b2c3d4e5f6"
down_revision = "770bee3ae1dd"
br... | 85 | 3,214 |
mlflow | mlflow/store/db_migrations/versions/770bee3ae1dd_add_assessments_table.py | .py | """add assessments table
Create Date: 2025-06-23 11:26:19.855639
"""
import sqlalchemy as sa
from alembic import op
from mlflow.store.tracking.dbmodels.models import SqlAssessments
# revision identifiers, used by Alembic.
revision = "770bee3ae1dd"
down_revision = "cbc13b556ace"
branch_labels = None
depends_on = No... | 72 | 2,640 |
mlflow | mlflow/store/db_migrations/versions/39d1c3be5f05_add_is_nan_constraint_for_metrics_tables_if_necessary.py | .py | """add_is_nan_constraint_for_metrics_tables_if_necessary
Create Date: 2021-03-16 20:40:24.214667
"""
import sqlalchemy as sa
from alembic import op
# revision identifiers, used by Alembic.
revision = "39d1c3be5f05"
down_revision = "a8c4a736bde6"
branch_labels = None
depends_on = None
def upgrade():
# This par... | 40 | 1,415 |
mlflow | mlflow/store/db_migrations/versions/acf3f17fdcc7_add_storage_location_field_to_model_.py | .py | """add storage location field to model versions
Create Date: 2023-10-23 15:26:53.062080
"""
import sqlalchemy as sa
from alembic import op
from mlflow.store.model_registry.dbmodels.models import SqlModelVersion
# revision identifiers, used by Alembic.
revision = "acf3f17fdcc7"
down_revision = "2d6e25af4d3e"
branch... | 28 | 546 |
mlflow | mlflow/store/db_migrations/versions/d0e1f2a3b4c5_add_experiment_id_to_endpoints.py | .py | """add experiment_id and usage_tracking to endpoints table
Create Date: 2025-01-13 00:00:00.000000
"""
import sqlalchemy as sa
from alembic import op
# revision identifiers, used by Alembic.
revision = "d0e1f2a3b4c5"
down_revision = "d3e4f5a6b7c8"
branch_labels = None
depends_on = None
def upgrade():
# Add ex... | 39 | 1,211 |
mlflow | mlflow/store/db_migrations/versions/bd07f7e963c5_create_index_on_run_uuid.py | .py | """create index on run_uuid
Create Date: 2022-03-03 10:14:34.037978
"""
from alembic import op
# revision identifiers, used by Alembic.
revision = "bd07f7e963c5"
down_revision = "c48cb773bb87"
branch_labels = None
depends_on = None
def upgrade():
# As a fix for https://github.com/mlflow/mlflow/issues/3785, cr... | 25 | 589 |
mlflow | mlflow/store/db_migrations/versions/bda7b8c39065_increase_model_version_tag_value_limit.py | .py | """increase_model_version_tag_value_limit
Create Date: 2025-06-23 11:05:41.676297
"""
import sqlalchemy as sa
from alembic import op
# revision identifiers, used by Alembic.
revision = "bda7b8c39065"
down_revision = "6953534de441"
branch_labels = None
depends_on = None
def upgrade():
# Use batch mode for SQLi... | 37 | 972 |
mlflow | mlflow/store/db_migrations/versions/7f2a7d5fae7d_add_datasets_inputs_input_tags_tables.py | .py | """add datasets inputs input_tags tables
Create Date: 2023-03-23 09:48:27.775166
"""
import sqlalchemy as sa
from alembic import op
from sqlalchemy.dialects.mysql import MEDIUMTEXT
from mlflow.store.tracking.dbmodels.models import SqlDataset, SqlInput, SqlInputTag
# revision identifiers, used by Alembic.
revision ... | 81 | 3,046 |
mlflow | mlflow/store/jobs/sqlalchemy_store.py | .py | import json
import threading
import uuid
from typing import Any, Iterator
import sqlalchemy
from mlflow.entities._job import Job
from mlflow.entities._job_status import JobStatus
from mlflow.exceptions import MlflowException
from mlflow.protos.databricks_pb2 import RESOURCE_DOES_NOT_EXIST
from mlflow.store.db.utils i... | 435 | 15,929 |
mlflow | mlflow/store/jobs/abstract_store.py | .py | from abc import ABC, abstractmethod
from typing import Any, Iterator
from mlflow.entities._job import Job
from mlflow.entities._job_status import JobStatus
from mlflow.utils.annotations import developer_stable
@developer_stable
class AbstractJobStore(ABC):
"""
Abstract class that defines API interfaces for s... | 189 | 6,051 |
mlflow | mlflow/store/jobs/sqlalchemy_workspace_store.py | .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... | 38 | 1,024 |
mlflow | mlflow/store/db/utils.py | .py | import hashlib
import logging
import os
import re
import sqlite3
import tempfile
import time
from contextlib import contextmanager
from pathlib import Path
import sqlalchemy
from alembic.migration import MigrationContext
from alembic.script import ScriptDirectory
from packaging.version import Version
from sqlalchemy i... | 469 | 19,013 |
mlflow | mlflow/store/db/workspace_utils.py | .py | """Shared helpers for workspace-related database operations.
Used by both ``workspace_migration`` (migrate-to-default-workspace) and
``workspace_move`` (move-resources).
"""
from __future__ import annotations
import sqlalchemy as sa
# Child tables of registered_models that carry their own workspace column.
# These ... | 65 | 2,142 |
mlflow | mlflow/store/db/base_sql_model.py | .py | from sqlalchemy.orm import declarative_base
Base = declarative_base()
| 4 | 71 |
mlflow | mlflow/store/db/workspace_migration.py | .py | import sqlalchemy as sa
from mlflow.store.db.workspace_utils import (
MODEL_CHILD_TABLES,
OTHER_WORKSPACE_CHILD_TABLES,
format_truncated_list,
get_workspace_table,
)
from mlflow.store.workspace.sqlalchemy_store import _WORKSPACE_ROOT_MODELS
from mlflow.utils.workspace_utils import DEFAULT_WORKSPACE_NAM... | 139 | 4,909 |
mlflow | mlflow/store/db/workspace_move.py | .py | from __future__ import annotations
from dataclasses import dataclass
from typing import Literal
import sqlalchemy as sa
from mlflow.store.db.workspace_utils import (
MODEL_CHILD_TABLES,
format_truncated_list,
get_workspace_table,
)
from mlflow.store.model_registry.dbmodels.models import (
SqlRegister... | 427 | 15,577 |
mlflow | mlflow/store/db/db_types.py | .py | """
Set of SQLAlchemy database schemas supported in MLflow for tracking server backends.
"""
POSTGRES = "postgresql"
MYSQL = "mysql"
SQLITE = "sqlite"
MSSQL = "mssql"
DATABASE_ENGINES = [POSTGRES, MYSQL, SQLITE, MSSQL]
| 11 | 221 |
mlflow | mlflow/groq/__init__.py | .py | """
The ``mlflow.groq`` module provides an API for logging and loading Groq models.
"""
from mlflow.groq._groq_autolog import patched_call
from mlflow.telemetry.events import AutologgingEvent
from mlflow.telemetry.track import _record_event
from mlflow.utils.autologging_utils import autologging_integration, safe_patch... | 47 | 1,657 |
mlflow | mlflow/groq/_groq_autolog.py | .py | import logging
from typing import Any
import mlflow
from mlflow.entities import SpanType
from mlflow.tracing.constant import SpanAttributeKey, TokenUsageKey
from mlflow.tracing.utils import set_span_chat_tools
from mlflow.utils.autologging_utils.config import AutoLoggingConfig
_logger = logging.getLogger(__name__)
... | 70 | 2,448 |
mlflow | mlflow/litellm/__init__.py | .py | import logging
from typing import Callable
from mlflow.telemetry.events import AutologgingEvent
from mlflow.telemetry.track import _record_event
from mlflow.utils.autologging_utils import autologging_integration, safe_patch
FLAVOR_NAME = "litellm"
_logger = logging.getLogger(__name__)
def autolog(
log_traces: ... | 124 | 4,747 |
mlflow | mlflow/tensorflow/callback.py | .py | from tensorflow import keras
from tensorflow.keras.callbacks import Callback
from mlflow import log_metrics, log_params, log_text
from mlflow.utils.autologging_utils import ExceptionSafeClass
from mlflow.utils.checkpoint_utils import MlflowModelCheckpointCallbackBase
class MlflowCallback(keras.callbacks.Callback, me... | 230 | 9,000 |
mlflow | mlflow/tensorflow/__init__.py | .py | """
The ``mlflow.tensorflow`` module provides an API for logging and loading TensorFlow models.
This module exports TensorFlow models with the following flavors:
TensorFlow (native) format
This is the main flavor that can be loaded back into TensorFlow.
:py:mod:`mlflow.pyfunc`
Produced for use by generic pyfun... | 1,523 | 63,772 |
mlflow | mlflow/tensorflow/autologging.py | .py | import numpy as np
import tensorflow
from tensorflow.keras.callbacks import TensorBoard
from mlflow.utils.autologging_utils import (
INPUT_EXAMPLE_SAMPLE_ROWS,
ExceptionSafeClass,
)
class _TensorBoard(TensorBoard, metaclass=ExceptionSafeClass):
pass
def _extract_input_example_from_tensor_or_ndarray(
... | 181 | 6,662 |
mlflow | mlflow/system_metrics/__init__.py | .py | """System metrics logging module."""
from mlflow.environment_variables import (
MLFLOW_ENABLE_SYSTEM_METRICS_LOGGING,
MLFLOW_SYSTEM_METRICS_NODE_ID,
MLFLOW_SYSTEM_METRICS_SAMPLES_BEFORE_LOGGING,
MLFLOW_SYSTEM_METRICS_SAMPLING_INTERVAL,
)
def disable_system_metrics_logging():
"""Disable system met... | 62 | 2,080 |
mlflow | mlflow/system_metrics/system_metrics_monitor.py | .py | """Class for monitoring system stats."""
import logging
import threading
from mlflow.environment_variables import (
MLFLOW_SYSTEM_METRICS_NODE_ID,
MLFLOW_SYSTEM_METRICS_SAMPLES_BEFORE_LOGGING,
MLFLOW_SYSTEM_METRICS_SAMPLING_INTERVAL,
)
from mlflow.exceptions import MlflowException
from mlflow.system_metri... | 217 | 9,831 |
mlflow | mlflow/system_metrics/metrics/base_metrics_monitor.py | .py | """Base class of system metrics monitor."""
import abc
from collections import defaultdict
class BaseMetricsMonitor(abc.ABC):
"""Base class of system metrics monitor."""
def __init__(self):
self._metrics = defaultdict(list)
@abc.abstractmethod
def collect_metrics(self):
"""Method to... | 33 | 780 |
mlflow | mlflow/system_metrics/metrics/rocm_monitor.py | .py | """Class for monitoring GPU stats on HIP devices.
Inspired by GPUMonitor, but with the pynvml method
named replaced by pyrsmi method names
"""
import contextlib
import io
import logging
import sys
from mlflow.system_metrics.metrics.base_metrics_monitor import BaseMetricsMonitor
_logger = logging.getLogger(__name__)
... | 124 | 4,426 |
mlflow | mlflow/system_metrics/metrics/cpu_monitor.py | .py | """Class for monitoring CPU stats."""
import psutil
from mlflow.system_metrics.metrics.base_metrics_monitor import BaseMetricsMonitor
class CPUMonitor(BaseMetricsMonitor):
"""Class for monitoring CPU stats."""
def collect_metrics(self):
# Get CPU metrics.
cpu_percent = psutil.cpu_percent()
... | 24 | 776 |
mlflow | mlflow/system_metrics/metrics/network_monitor.py | .py | """Class for monitoring network stats."""
import psutil
from mlflow.system_metrics.metrics.base_metrics_monitor import BaseMetricsMonitor
class NetworkMonitor(BaseMetricsMonitor):
def __init__(self):
super().__init__()
self._set_initial_metrics()
def _set_initial_metrics(self):
# Se... | 35 | 1,351 |
mlflow | mlflow/system_metrics/metrics/disk_monitor.py | .py | """Class for monitoring disk stats."""
import os
import psutil
from mlflow.system_metrics.metrics.base_metrics_monitor import BaseMetricsMonitor
class DiskMonitor(BaseMetricsMonitor):
"""Class for monitoring disk stats."""
def collect_metrics(self):
# Get disk usage metrics.
disk_usage = p... | 22 | 689 |
mlflow | mlflow/system_metrics/metrics/gpu_monitor.py | .py | """Class for monitoring GPU stats."""
import logging
import sys
from mlflow.system_metrics.metrics.base_metrics_monitor import BaseMetricsMonitor
_logger = logging.getLogger(__name__)
try:
import pynvml
except ImportError:
# If `pynvml` is not installed, a warning will be logged at monitor instantiation.
... | 72 | 2,905 |
mlflow | mlflow/semantic_kernel/tracing_utils.py | .py | import logging
from typing import Any
from opentelemetry import context as otel_context_api
from opentelemetry import trace as otel_trace
from opentelemetry.trace import get_current_span
from semantic_kernel.contents.chat_history import ChatHistory
from semantic_kernel.contents.kernel_content import KernelContent
from... | 167 | 7,098 |
mlflow | mlflow/semantic_kernel/__init__.py | .py | from semantic_kernel.kernel import Kernel
from semantic_kernel.utils.telemetry.model_diagnostics import decorators
from mlflow.semantic_kernel.autolog import setup_semantic_kernel_tracing
from mlflow.semantic_kernel.tracing_utils import (
patched_kernel_entry_point,
semantic_kernel_diagnostics_wrapper,
)
from ... | 64 | 2,305 |
mlflow | mlflow/semantic_kernel/autolog.py | .py | import logging
import threading
from opentelemetry import trace as otel_trace
from opentelemetry.context import Context
from opentelemetry.sdk.trace import ReadableSpan as OTelReadableSpan
from opentelemetry.sdk.trace import Span as OTelSpan
from opentelemetry.sdk.trace import TracerProvider as SDKTracerProvider
from ... | 153 | 7,022 |
mlflow | mlflow/smolagents/__init__.py | .py | """
The ``mlflow.smolagents`` module provides an API for tracing Smolagents AI agents.
"""
import logging
from mlflow.smolagents.autolog import (
patched_class_call,
)
from mlflow.telemetry.events import AutologgingEvent
from mlflow.telemetry.track import _record_event
from mlflow.utils.autologging_utils import a... | 71 | 2,345 |
mlflow | mlflow/smolagents/chat.py | .py | import logging
_logger = logging.getLogger(__name__)
| 4 | 54 |
mlflow | mlflow/smolagents/autolog.py | .py | import inspect
import logging
from typing import Any
import mlflow
from mlflow.entities import SpanType
from mlflow.entities.span import LiveSpan
from mlflow.tracing.constant import SpanAttributeKey, TokenUsageKey
from mlflow.utils.autologging_utils.config import AutoLoggingConfig
_logger = logging.getLogger(__name__... | 151 | 5,269 |
mlflow | mlflow/lightgbm/__init__.py | .py | """
The ``mlflow.lightgbm`` module provides an API for logging and loading LightGBM models.
This module exports LightGBM models with the following flavors:
LightGBM (native) format
This is the main flavor that can be loaded back into LightGBM.
:py:mod:`mlflow.pyfunc`
Produced for use by generic pyfunc-based de... | 1,066 | 41,432 |
mlflow | mlflow/autogen/__init__.py | .py | import logging
from typing import Any
from pydantic import BaseModel
import mlflow
from mlflow.autogen.chat import log_tools
from mlflow.entities import SpanType
from mlflow.telemetry.events import AutologgingEvent
from mlflow.telemetry.track import _record_event
from mlflow.tracing.constant import SpanAttributeKey, ... | 150 | 5,667 |
mlflow | mlflow/autogen/chat.py | .py | import logging
from typing import TYPE_CHECKING, Union
from opentelemetry.sdk.trace import Span
from mlflow.tracing.utils import set_span_chat_tools
from mlflow.types.chat import ChatTool
if TYPE_CHECKING:
from autogen_core.tools import BaseTool, ToolSchema
_logger = logging.getLogger(__name__)
def log_tools(... | 38 | 1,054 |
mlflow | mlflow/sagemaker/__init__.py | .py | """
The ``mlflow.sagemaker`` module provides an API for deploying MLflow models to Amazon SageMaker.
"""
import json
import logging
import os
import signal
import subprocess
import sys
import tarfile
import time
import urllib.parse
import uuid
from typing import Any
import mlflow
import mlflow.version
from mlflow imp... | 3,029 | 132,273 |
mlflow | mlflow/sagemaker/cli.py | .py | import json
import os
import tempfile
import click
import mlflow.models.docker_utils
import mlflow.sagemaker
from mlflow.sagemaker import DEFAULT_IMAGE_NAME as IMAGE
from mlflow.utils import cli_args
from mlflow.utils import env_manager as em
@click.group("sagemaker")
def commands():
"""
Serve models on Sag... | 394 | 13,547 |
mlflow | mlflow/mistral/__init__.py | .py | from mlflow.mistral.autolog import async_patched_class_call, patched_class_call
from mlflow.telemetry.events import AutologgingEvent
from mlflow.telemetry.track import _record_event
from mlflow.utils.autologging_utils import autologging_integration, safe_patch
FLAVOR_NAME = "mistral"
@autologging_integration(FLAVOR_... | 48 | 1,575 |
mlflow | mlflow/mistral/chat.py | .py | from typing import Any
from mlflow.types.chat import (
ChatTool,
FunctionToolDefinition,
)
def convert_tool_to_mlflow_chat_tool(tool: dict[str, Any]) -> ChatTool:
"""
Convert Mistral AI tool definition into MLflow's standard format (OpenAI compatible).
Ref: https://docs.mistral.ai/capabilities/f... | 30 | 792 |
mlflow | mlflow/mistral/autolog.py | .py | import inspect
import logging
import mlflow
import mlflow.mistral
from mlflow.entities import SpanType
from mlflow.mistral.chat import convert_tool_to_mlflow_chat_tool
from mlflow.tracing.constant import SpanAttributeKey, TokenUsageKey
from mlflow.tracing.provider import detach_span_from_context, set_span_in_context
f... | 133 | 4,610 |
mlflow | mlflow/haystack/__init__.py | .py | from mlflow.haystack.autolog import setup_haystack_tracing, teardown_haystack_tracing
from mlflow.utils.autologging_utils import autologging_integration
FLAVOR_NAME = "haystack"
def autolog(
log_traces: bool = True,
disable: bool = False,
silent: bool = False,
):
"""
Enables (or disables) and con... | 39 | 1,256 |
mlflow | mlflow/haystack/autolog.py | .py | import json
import logging
import threading
from typing import Any
from haystack.tracing import enable_tracing
from opentelemetry import trace
from opentelemetry.context import Context
from opentelemetry.sdk.trace import ReadableSpan as OTelReadableSpan
from opentelemetry.sdk.trace import Span as OTelSpan
from opentel... | 263 | 10,132 |
mlflow | mlflow/legacy_databricks_cli/configure/provider.py | .py | # This module is copied from legacy databricks CLI python library
# module `databricks_cli.configure.provider`,
# but with some modification to make `EnvironmentVariableConfigProvider` supporting
# 'DATABRICKS_CLIENT_ID' and 'DATABRICKS_CLIENT_SECRET' environmental variables,
# and make ProfileConfigProvider supporting... | 480 | 16,881 |
mlflow | mlflow/telemetry/utils.py | .py | import logging
import os
from pathlib import Path
from typing import Any
import requests
from packaging.version import Version
from mlflow.environment_variables import (
_MLFLOW_TELEMETRY_LOGGING,
_MLFLOW_TESTING_TELEMETRY,
MLFLOW_DISABLE_TELEMETRY,
)
from mlflow.telemetry.constant import (
CONFIG_STA... | 161 | 6,077 |
mlflow | mlflow/telemetry/__init__.py | .py | from mlflow.telemetry.client import get_telemetry_client, set_telemetry_client
__all__ = ["get_telemetry_client", "set_telemetry_client"]
| 4 | 139 |
mlflow | mlflow/telemetry/installation_id.py | .py | import json
import os
import threading
import uuid
from datetime import datetime, timezone
from pathlib import Path
from mlflow.utils.os import is_windows
from mlflow.version import VERSION
_KEY_INSTALLATION_ID = "installation_id"
_CACHE_LOCK = threading.RLock()
_INSTALLATION_ID_CACHE: str | None = None
def get_or_... | 89 | 2,966 |
mlflow | mlflow/telemetry/client.py | .py | import atexit
import importlib
import os
import random
import sys
import threading
import time
import urllib.parse
import uuid
import warnings
from dataclasses import asdict
from functools import lru_cache
from queue import Empty, Full, Queue
from typing import Any, Callable, Literal
import requests
from mlflow.envir... | 578 | 20,575 |
mlflow | mlflow/telemetry/schemas.py | .py | import json
import platform
import sys
from dataclasses import dataclass
from enum import Enum
from typing import Any
from mlflow.version import IS_MLFLOW_SKINNY, IS_TRACING_SDK_ONLY, VERSION
class Status(str, Enum):
UNKNOWN = "unknown"
SUCCESS = "success"
FAILURE = "failure"
@dataclass
class Record:
... | 114 | 3,551 |
mlflow | mlflow/telemetry/constant.py | .py | from mlflow.ml_package_versions import GENAI_FLAVOR_TO_MODULE_NAME, NON_GENAI_FLAVOR_TO_MODULE_NAME
# NB: Kinesis PutRecords API has a limit of 500 records per request
BATCH_SIZE = 500
BATCH_TIME_INTERVAL_SECONDS = 10
MAX_QUEUE_SIZE = 1000
MAX_WORKERS = 1
CONFIG_STAGING_URL = "https://config-staging.mlflow-telemetry.i... | 98 | 2,075 |
mlflow | mlflow/telemetry/events.py | .py | import inspect
import os
import sys
from collections import Counter
from enum import Enum
from typing import TYPE_CHECKING, Any
from urllib.parse import urlparse
from mlflow.entities import Feedback
from mlflow.entities.issue import IssueSeverity, IssueStatus
from mlflow.entities.mcp_server import MCPStatus
from mlflo... | 940 | 29,762 |
mlflow | mlflow/telemetry/track.py | .py | import functools
import inspect
import logging
import time
from typing import Any, Callable, ParamSpec, TypeVar
from mlflow.environment_variables import MLFLOW_EXPERIMENT_ID
from mlflow.telemetry.client import get_telemetry_client
from mlflow.telemetry.events import Event
from mlflow.telemetry.schemas import Record, S... | 124 | 4,277 |
mlflow | mlflow/artifacts/__init__.py | .py | """
APIs for interacting with artifacts in MLflow
"""
import json
import pathlib
import posixpath
import tempfile
from typing import Any
from mlflow.entities.file_info import FileInfo
from mlflow.exceptions import MlflowException
from mlflow.protos.databricks_pb2 import BAD_REQUEST, INVALID_PARAMETER_VALUE
from mlflo... | 273 | 9,974 |
mlflow | mlflow/deployments/utils.py | .py | import urllib
from urllib.parse import urlparse
from mlflow.environment_variables import MLFLOW_DEPLOYMENTS_TARGET
from mlflow.exceptions import MlflowException
from mlflow.utils.uri import append_to_uri_path
_deployments_target: str | None = None
def parse_target_uri(target_uri):
"""Parse out the deployment ta... | 97 | 3,240 |
mlflow | mlflow/deployments/plugin_manager.py | .py | import abc
import importlib.metadata
import inspect
import importlib_metadata
from mlflow.deployments.base import BaseDeploymentClient
from mlflow.deployments.utils import parse_target_uri
from mlflow.exceptions import MlflowException
from mlflow.protos.databricks_pb2 import INTERNAL_ERROR, RESOURCE_DOES_NOT_EXIST
fr... | 144 | 5,604 |
mlflow | mlflow/deployments/__init__.py | .py | """
Exposes functionality for deploying MLflow models to custom serving tools.
Note: model deployment to AWS Sagemaker can currently be performed via the
:py:mod:`mlflow.sagemaker` module. Model deployment to Azure can be performed by using the
`azureml library <https://pypi.org/project/azureml-mlflow/>`_.
MLflow doe... | 120 | 4,763 |
mlflow | mlflow/deployments/constants.py | .py | # Abridged retryable error codes for deployments clients.
# These are modified from the standard MLflow Tracking server retry codes for the MLflowClient to
# remove timeouts from the list of the retryable conditions. A long-running timeout with
# retries for the proxied providers generally indicates an issue with the u... | 12 | 607 |
mlflow | mlflow/deployments/cli.py | .py | import json
import sys
from inspect import signature
import click
from mlflow.deployments import interface
from mlflow.mcp.decorator import mlflow_mcp
from mlflow.utils import cli_args
from mlflow.utils.proto_json_utils import NumpyEncoder, _get_jsonable_obj
def _user_args_to_dict(user_list):
# Similar function... | 483 | 16,131 |
mlflow | mlflow/deployments/interface.py | .py | import inspect
from logging import Logger
from mlflow.deployments.base import BaseDeploymentClient
from mlflow.deployments.plugin_manager import DeploymentPlugins
from mlflow.deployments.utils import get_deployments_target, parse_target_uri
from mlflow.exceptions import MlflowException
plugin_store = DeploymentPlugin... | 103 | 4,624 |
mlflow | mlflow/deployments/base.py | .py | """
This module contains the base interface implemented by MLflow model deployment plugins.
In particular, a valid deployment plugin module must implement:
1. Exactly one client class subclassed from :py:class:`BaseDeploymentClient`, exposing the primary
user-facing APIs used to manage deployments.
2. :py:func:`run... | 359 | 16,159 |
mlflow | mlflow/deployments/mlflow/__init__.py | .py | from typing import TYPE_CHECKING, Any
import requests
from mlflow import MlflowException
from mlflow.deployments import BaseDeploymentClient
from mlflow.deployments.constants import (
MLFLOW_DEPLOYMENT_CLIENT_REQUEST_RETRY_CODES,
)
from mlflow.deployments.server.constants import (
MLFLOW_DEPLOYMENTS_CRUD_ENDP... | 328 | 10,822 |
mlflow | mlflow/deployments/server/constants.py | .py | MLFLOW_DEPLOYMENTS_HEALTH_ENDPOINT = "/health"
MLFLOW_DEPLOYMENTS_CRUD_ENDPOINT_BASE = "/api/2.0/endpoints/"
MLFLOW_DEPLOYMENTS_LIMITS_BASE = "/api/2.0/endpoints/limits/"
MLFLOW_DEPLOYMENTS_ENDPOINTS_BASE = "/endpoints/"
MLFLOW_DEPLOYMENTS_QUERY_SUFFIX = "/invocations"
MLFLOW_DEPLOYMENTS_LIST_ENDPOINTS_PAGE_SIZE = 3000... | 7 | 321 |
mlflow | mlflow/deployments/server/config.py | .py | from pydantic import ConfigDict
from mlflow.gateway.base_models import ResponseModel
from mlflow.gateway.config import EndpointModelInfo, Limit
class Endpoint(ResponseModel):
name: str
endpoint_type: str
model: EndpointModelInfo
endpoint_url: str
limit: Limit | None
model_config = ConfigDict... | 28 | 787 |
mlflow | mlflow/deployments/databricks/__init__.py | .py | import json
import posixpath
import warnings
from typing import Any, Iterator
from mlflow.deployments import BaseDeploymentClient
from mlflow.deployments.constants import (
MLFLOW_DEPLOYMENT_CLIENT_REQUEST_RETRY_CODES,
)
from mlflow.environment_variables import (
MLFLOW_DEPLOYMENT_PREDICT_TIMEOUT,
MLFLOW_D... | 850 | 30,292 |
mlflow | mlflow/deployments/openai/__init__.py | .py | import os
from mlflow.deployments import BaseDeploymentClient
from mlflow.exceptions import MlflowException
from mlflow.protos.databricks_pb2 import INVALID_PARAMETER_VALUE
from mlflow.utils.openai_utils import (
_OAITokenHolder,
_OpenAIApiConfig,
_OpenAIEnvVar,
)
from mlflow.utils.rest_utils import augmen... | 253 | 7,400 |
mlflow | mlflow/tracking/_uc_upsell.py | .py | from mlflow.utils.logging_utils import eprint
_BOLD_ORANGE = "\033[1;38;5;208m"
_LIGHT_BLUE = "\033[94m"
_RESET = "\033[0m"
def show_existing_experiment_upsell():
doc_url = "https://docs.databricks.com/aws/en/mlflow3/genai/tracing/migrate-traces-to-uc"
eprint(
f"{_BOLD_ORANGE}If you are using MLflow ... | 26 | 1,029 |
mlflow | mlflow/tracking/__init__.py | .py | """
The ``mlflow.tracking`` module provides a Python CRUD interface to MLflow experiments
and runs. This is a lower level API that directly translates to MLflow
`REST API <../rest-api.html>`_ calls.
For a higher level API for managing an "active run", use the :py:mod:`mlflow` module.
"""
# Minimum APIs required for co... | 40 | 1,169 |
mlflow | mlflow/tracking/metric_value_conversion_utils.py | .py | import sys
from mlflow.exceptions import INVALID_PARAMETER_VALUE, MlflowException
def _is_module_imported(module_name: str) -> bool:
return module_name in sys.modules
def _try_get_item(x):
try:
return x.item()
except Exception as e:
raise MlflowException(
f"Failed to convert... | 94 | 2,249 |
mlflow | mlflow/tracking/multimedia.py | .py | """
Internal module implementing multi-media objects and utilities in MLflow. Multi-media objects are
exposed to users at the top-level :py:mod:`mlflow` module.
"""
import warnings
from typing import TYPE_CHECKING, Any, Union
if TYPE_CHECKING:
import numpy
import PIL
COMPRESSED_IMAGE_SIZE = 256
def compre... | 207 | 6,266 |
mlflow | mlflow/tracking/artifact_utils.py | .py | """
Utilities for dealing with artifacts in the context of a Run.
"""
import os
import pathlib
import posixpath
import tempfile
import urllib.parse
import uuid
from typing import Any
from mlflow.exceptions import MlflowException
from mlflow.protos.databricks_pb2 import INVALID_PARAMETER_VALUE
from mlflow.store.artifa... | 184 | 8,632 |
mlflow | mlflow/tracking/registry.py | .py | import warnings
from abc import ABCMeta
from mlflow.exceptions import MlflowException
from mlflow.protos.databricks_pb2 import INVALID_PARAMETER_VALUE
from mlflow.utils.plugins import get_entry_points
from mlflow.utils.uri import get_uri_scheme
class UnsupportedModelRegistryStoreURIException(MlflowException):
""... | 87 | 3,524 |
mlflow | mlflow/tracking/client.py | .py | """
Internal package providing a Python CRUD interface to MLflow experiments, runs, registered models,
and model versions. This is a lower level API than the :py:mod:`mlflow.tracking.fluent` module,
and is exposed in the :py:mod:`mlflow.tracking` module.
"""
import contextlib
import functools
import io
import json
imp... | 6,994 | 275,909 |
mlflow | mlflow/tracking/fluent.py | .py | """
Internal module implementing the fluent API, allowing management of an active
MLflow run. This module is exposed to users at the top-level :py:mod:`mlflow` module.
"""
import atexit
import contextlib
import importlib
import inspect
import io
import logging
import os
import threading
from copy import deepcopy
from ... | 4,057 | 155,523 |
mlflow | mlflow/tracking/context/databricks_notebook_context.py | .py | from mlflow.entities import SourceType
from mlflow.tracking.context.abstract_context import RunContextProvider
from mlflow.utils import databricks_utils
from mlflow.utils.mlflow_tags import (
MLFLOW_DATABRICKS_NOTEBOOK_ID,
MLFLOW_DATABRICKS_NOTEBOOK_PATH,
MLFLOW_DATABRICKS_WEBAPP_URL,
MLFLOW_DATABRICKS_... | 44 | 1,785 |
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