Source code for airflow.decorators.branch_virtualenv
# 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.
from __future__ import annotations
from typing import TYPE_CHECKING, Callable
from airflow.decorators.base import task_decorator_factory
from airflow.decorators.python import _PythonDecoratedOperator
from airflow.operators.python import BranchPythonVirtualenvOperator
if TYPE_CHECKING:
from airflow.decorators.base import TaskDecorator
class _BranchPythonVirtualenvDecoratedOperator(_PythonDecoratedOperator, BranchPythonVirtualenvOperator):
"""Wraps a Python callable and captures args/kwargs when called for execution."""
custom_operator_name: str = "@task.branch_virtualenv"
[docs]def branch_virtualenv_task(
python_callable: Callable | None = None, multiple_outputs: bool | None = None, **kwargs
) -> TaskDecorator:
"""
Wrap a python function into a BranchPythonVirtualenvOperator.
For more information on how to use this operator, take a look at the guide:
:ref:`concepts:branching`
Accepts kwargs for operator kwarg. Can be reused in a single DAG.
:param python_callable: Function to decorate
:param multiple_outputs: if set, function return value will be
unrolled to multiple XCom values. Dict will unroll to xcom values with keys as XCom keys.
Defaults to False.
"""
return task_decorator_factory(
python_callable=python_callable,
multiple_outputs=multiple_outputs,
decorated_operator_class=_BranchPythonVirtualenvDecoratedOperator,
**kwargs,
)