blob: 67ef30ba5d8a1951c1b93c26d8671dfc97d68165 [file] [log] [blame]
#
# 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.
"""
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
# flake8: noqa: F401
import os
import sys
from typing import Callable
from airflow import 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.
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)
# Things to lazy import in form {local_name: ('target_module', 'target_name')}
__lazy_imports: dict[str, tuple[str, str]] = {
'DAG': ('.models.dag', 'DAG'),
'Dataset': ('.datasets', 'Dataset'),
'XComArg': ('.models.xcom_arg', 'XComArg'),
'AirflowException': ('.exceptions', 'AirflowException'),
'version': ('.version', ''),
'__version__': ('.version', 'version'),
}
def __getattr__(name: str):
# PEP-562: Lazy loaded attributes on python modules
module_path, attr_name = __lazy_imports.get(name, ('', ''))
if not module_path:
raise AttributeError(f"module {__name__!r} has no attribute {name!r}")
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_PLUGINS:
from airflow import plugins_manager
plugins_manager.ensure_plugins_loaded()
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()
# 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.models.dag import DAG
from airflow.models.xcom_arg import XComArg
from airflow.exceptions import AirflowException