Coverage for /pythoncovmergedfiles/medio/medio/usr/local/lib/python3.11/site-packages/airflow/__init__.py: 63%
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1#
2# Licensed to the Apache Software Foundation (ASF) under one
3# or more contributor license agreements. See the NOTICE file
4# distributed with this work for additional information
5# regarding copyright ownership. The ASF licenses this file
6# to you under the Apache License, Version 2.0 (the
7# "License"); you may not use this file except in compliance
8# with the License. You may obtain a copy of the License at
9#
10# http://www.apache.org/licenses/LICENSE-2.0
11#
12# Unless required by applicable law or agreed to in writing,
13# software distributed under the License is distributed on an
14# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
15# KIND, either express or implied. See the License for the
16# specific language governing permissions and limitations
17# under the License.
19# We do not use "from __future__ import annotations" here because it is not supported
20# by Pycharm when we want to make sure all imports in airflow work from namespace packages
21# Adding it automatically is excluded in pyproject.toml via I002 ruff rule exclusion
23# Make `airflow` a namespace package, supporting installing
24# airflow.providers.* in different locations (i.e. one in site, and one in user
25# lib.) This is required by some IDEs to resolve the import paths.
26__path__ = __import__("pkgutil").extend_path(__path__, __name__)
28__version__ = "3.2.0"
31import os
32import sys
33import warnings
34from typing import TYPE_CHECKING
36from airflow.utils.deprecation_tools import DeprecatedImportWarning
38if os.environ.get("_AIRFLOW_PATCH_GEVENT"):
39 # If you are using gevents and start airflow webserver, you might want to run gevent monkeypatching
40 # as one of the first thing when Airflow is started. This allows gevent to patch networking and other
41 # system libraries to make them gevent-compatible before anything else patches them (for example boto)
42 from gevent.monkey import patch_all
44 patch_all()
46if sys.platform == "win32":
47 warnings.warn(
48 "Airflow currently can be run on POSIX-compliant Operating Systems. For development, "
49 "it is regularly tested on fairly modern Linux Distros and recent versions of macOS. "
50 "On Windows you can run it via WSL2 (Windows Subsystem for Linux 2) or via Linux Containers. "
51 "The work to add Windows support is tracked via https://github.com/apache/airflow/issues/10388, "
52 "but it is not a high priority.",
53 category=RuntimeWarning,
54 stacklevel=1,
55 )
57# The configuration module initializes and validates the conf object as a side effect the first
58# time it is imported. If it is not imported before importing the settings module, the conf
59# object will then be initted/validated as a side effect of it being imported in settings,
60# however this can cause issues since those modules are very tightly coupled and can
61# very easily cause import cycles in the conf init/validate code (since downstream code from
62# those functions likely import settings).
63# configuration is therefore initted early here, simply by importing it.
64from airflow import configuration, settings
66__all__ = [
67 "__version__",
68 "DAG",
69 "Asset",
70 "XComArg",
71 # TODO: Remove this module in Airflow 3.2
72 "Dataset",
73]
75# Perform side-effects unless someone has explicitly opted out before import
76# WARNING: DO NOT USE THIS UNLESS YOU REALLY KNOW WHAT YOU'RE DOING.
77# This environment variable prevents proper initialization, and things like
78# configs, logging, the ORM, etc. will be broken. It is only useful if you only
79# access certain trivial constants and free functions (e.g. `__version__`).
80if not os.environ.get("_AIRFLOW__AS_LIBRARY", None):
81 settings.initialize()
83# Things to lazy import in form {local_name: ('target_module', 'target_name', 'deprecated')}
84__lazy_imports: dict[str, tuple[str, str, bool]] = {
85 "DAG": (".sdk", "DAG", False),
86 "Asset": (".sdk", "Asset", False),
87 "XComArg": (".models.xcom_arg", "XComArg", False),
88 "version": (".version", "", False),
89 # Deprecated lazy imports
90 "AirflowException": (".exceptions", "AirflowException", True),
91 "Dataset": (".sdk", "Asset", True),
92 "Stats": (".observability.stats", "Stats", True),
93 "Trace": (".observability.trace", "Trace", True),
94 "metrics": (".observability.metrics", "", True),
95 "traces": (".observability.traces", "", True),
96}
97if TYPE_CHECKING:
98 # These objects are imported by PEP-562, however, static analyzers and IDE's
99 # have no idea about typing of these objects.
100 # Add it under TYPE_CHECKING block should help with it.
101 from airflow.models.xcom_arg import XComArg
102 from airflow.sdk import DAG, Asset, Asset as Dataset
105def __getattr__(name: str):
106 # PEP-562: Lazy loaded attributes on python modules
107 module_path, attr_name, deprecated = __lazy_imports.get(name, ("", "", False))
108 if not module_path:
109 raise AttributeError(f"module {__name__!r} has no attribute {name!r}")
110 if deprecated:
111 warnings.warn(
112 f"Import {name!r} directly from the airflow module is deprecated and "
113 f"will be removed in the future. Please import it from 'airflow{module_path}.{attr_name}'.",
114 DeprecatedImportWarning,
115 stacklevel=2,
116 )
118 import importlib
120 mod = importlib.import_module(module_path, __name__)
121 if attr_name:
122 val = getattr(mod, attr_name)
123 else:
124 val = mod
126 # Store for next time
127 globals()[name] = val
128 return val
131if not settings.LAZY_LOAD_PROVIDERS:
132 from airflow.providers_manager import ProvidersManager
134 manager = ProvidersManager()
135 manager.initialize_providers_list()
136 manager.initialize_providers_hooks()
137 manager.initialize_providers_extra_links()
138if not settings.LAZY_LOAD_PLUGINS:
139 from airflow import plugins_manager
141 plugins_manager.ensure_plugins_loaded()