Source code for airflow.operators.branch

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"""Branching operators."""

from __future__ import annotations

from typing import TYPE_CHECKING, Iterable

from airflow.models.baseoperator import BaseOperator
from airflow.models.skipmixin import SkipMixin

if TYPE_CHECKING:
    from airflow.models import TaskInstance
    from airflow.serialization.pydantic.taskinstance import TaskInstancePydantic
    from airflow.utils.context import Context


[docs]class BranchMixIn(SkipMixin): """Utility helper which handles the branching as one-liner."""
[docs] def do_branch(self, context: Context, branches_to_execute: str | Iterable[str]) -> str | Iterable[str]: """Implement the handling of branching including logging.""" self.log.info("Branch into %s", branches_to_execute) branch_task_ids = self._expand_task_group_roots(context["ti"], branches_to_execute) self.skip_all_except(context["ti"], branch_task_ids) return branches_to_execute
def _expand_task_group_roots( self, ti: TaskInstance | TaskInstancePydantic, branches_to_execute: str | Iterable[str] ) -> Iterable[str]: """Expand any task group into its root task ids.""" if TYPE_CHECKING: assert ti.task task = ti.task dag = task.dag if TYPE_CHECKING: assert dag if branches_to_execute is None: return elif isinstance(branches_to_execute, str) or not isinstance(branches_to_execute, Iterable): branches_to_execute = [branches_to_execute] for branch in branches_to_execute: if branch in dag.task_group_dict: tg = dag.task_group_dict[branch] root_ids = [root.task_id for root in tg.roots] self.log.info("Expanding task group %s into %s", tg.group_id, root_ids) yield from root_ids else: yield branch
[docs]class BaseBranchOperator(BaseOperator, BranchMixIn): """ A base class for creating operators with branching functionality, like to BranchPythonOperator. Users should create a subclass from this operator and implement the function `choose_branch(self, context)`. This should run whatever business logic is needed to determine the branch, and return one of the following: - A single task_id (as a str) - A single task_group_id (as a str) - A list containing a combination of task_ids and task_group_ids The operator will continue with the returned task_id(s) and/or task_group_id(s), and all other tasks directly downstream of this operator will be skipped. """
[docs] def choose_branch(self, context: Context) -> str | Iterable[str]: """ Abstract method to choose which branch to run. Subclasses should implement this, running whatever logic is necessary to choose a branch and returning a task_id or list of task_ids. :param context: Context dictionary as passed to execute() """ raise NotImplementedError
[docs] def execute(self, context: Context): return self.do_branch(context, self.choose_branch(context))

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