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))