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__init__.py
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__init__.py
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#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
"""
Init setup.
Authentication is implemented using flask_login and different environments can
implement their own login mechanisms by providing an `airflow_login` module
in their PYTHONPATH. airflow_login should be based off the `airflow.www.login`
isort:skip_file
"""
from __future__ import annotations
__version__ = "2.9.0.dev0"
# flake8: noqa: F401
import os
import sys
from typing import Callable
if os.environ.get("_AIRFLOW_PATCH_GEVENT"):
# If you are using gevents and start airflow webserver, you might want to run gevent monkeypatching
# as one of the first thing when Airflow is started. This allows gevent to patch networking and other
# system libraries to make them gevent-compatible before anything else patches them (for example boto)
from gevent.monkey import patch_all
patch_all()
# The configuration module initializes and validates the conf object as a side effect the first
# time it is imported. If it is not imported before importing the settings module, the conf
# object will then be initted/validated as a side effect of it being imported in settings,
# however this can cause issues since those modules are very tightly coupled and can
# very easily cause import cycles in the conf init/validate code (since downstream code from
# those functions likely import settings).
# configuration is therefore initted early here, simply by importing it.
from airflow import configuration, settings
__all__ = ["__version__", "login", "DAG", "PY36", "PY37", "PY38", "PY39", "PY310", "XComArg"]
# Make `airflow` an namespace package, supporting installing
# airflow.providers.* in different locations (i.e. one in site, and one in user
# lib.)
__path__ = __import__("pkgutil").extend_path(__path__, __name__) # type: ignore
# Perform side-effects unless someone has explicitly opted out before import
# WARNING: DO NOT USE THIS UNLESS YOU REALLY KNOW WHAT YOU'RE DOING.
# This environment variable prevents proper initialization, and things like
# configs, logging, the ORM, etc. will be broken. It is only useful if you only
# access certain trivial constants and free functions (e.g. `__version__`).
if not os.environ.get("_AIRFLOW__AS_LIBRARY", None):
settings.initialize()
login: Callable | None = None
PY36 = sys.version_info >= (3, 6)
PY37 = sys.version_info >= (3, 7)
PY38 = sys.version_info >= (3, 8)
PY39 = sys.version_info >= (3, 9)
PY310 = sys.version_info >= (3, 10)
PY311 = sys.version_info >= (3, 11)
# Things to lazy import in form {local_name: ('target_module', 'target_name', 'deprecated')}
__lazy_imports: dict[str, tuple[str, str, bool]] = {
"DAG": (".models.dag", "DAG", False),
"Dataset": (".datasets", "Dataset", False),
"XComArg": (".models.xcom_arg", "XComArg", False),
"version": (".version", "", False),
# Deprecated lazy imports
"AirflowException": (".exceptions", "AirflowException", True),
}
def __getattr__(name: str):
# PEP-562: Lazy loaded attributes on python modules
module_path, attr_name, deprecated = __lazy_imports.get(name, ("", "", False))
if not module_path:
raise AttributeError(f"module {__name__!r} has no attribute {name!r}")
elif deprecated:
import warnings
warnings.warn(
f"Import {name!r} directly from the airflow module is deprecated and "
f"will be removed in the future. Please import it from 'airflow{module_path}.{attr_name}'.",
DeprecationWarning,
stacklevel=2,
)
import importlib
mod = importlib.import_module(module_path, __name__)
if attr_name:
val = getattr(mod, attr_name)
else:
val = mod
# Store for next time
globals()[name] = val
return val
if not settings.LAZY_LOAD_PROVIDERS:
from airflow import providers_manager
manager = providers_manager.ProvidersManager()
manager.initialize_providers_list()
manager.initialize_providers_hooks()
manager.initialize_providers_extra_links()
if not settings.LAZY_LOAD_PLUGINS:
from airflow import plugins_manager
plugins_manager.ensure_plugins_loaded()
# This is never executed, but tricks static analyzers (PyDev, PyCharm,)
# into knowing the types of these symbols, and what
# they contain.
STATICA_HACK = True
globals()["kcah_acitats"[::-1].upper()] = False
if STATICA_HACK: # pragma: no cover
from airflow.exceptions import AirflowException
from airflow.models.dag import DAG
from airflow.models.dataset import Dataset
from airflow.models.xcom_arg import XComArg