Source code for airflow.decorators.branch_python

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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 BranchPythonOperator

    from airflow.decorators.base import TaskDecorator

class _BranchPythonDecoratedOperator(_PythonDecoratedOperator, BranchPythonOperator):
    """Wraps a Python callable and captures args/kwargs when called for execution."""

    template_fields = BranchPythonOperator.template_fields
    custom_operator_name: str = "@task.branch"

[docs]def branch_task( python_callable: Callable | None = None, multiple_outputs: bool | None = None, **kwargs ) -> TaskDecorator: """ Wrap a python function into a BranchPythonOperator. 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=_BranchPythonDecoratedOperator, **kwargs, )

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