Source code for airflow.models.skipmixin

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from typing import Iterable, Union

from airflow.models.taskinstance import TaskInstance
from airflow.utils import timezone
from airflow.utils.log.logging_mixin import LoggingMixin
from airflow.utils.session import create_session, provide_session
from airflow.utils.state import State

# The key used by SkipMixin to store XCom data.
[docs]XCOM_SKIPMIXIN_KEY = "skipmixin_key"

# The dictionary key used to denote task IDs that are skipped
[docs]XCOM_SKIPMIXIN_SKIPPED = "skipped"

# The dictionary key used to denote task IDs that are followed
[docs]XCOM_SKIPMIXIN_FOLLOWED = "followed"


[docs]class SkipMixin(LoggingMixin):
    """A Mixin to skip Tasks Instances"""

[docs]    def _set_state_to_skipped(self, dag_run, execution_date, tasks, session):
        """Used internally to set state of task instances to skipped from the same dag run."""
        task_ids = [d.task_id for d in tasks]
        now = timezone.utcnow()

        if dag_run:
            session.query(TaskInstance).filter(
                TaskInstance.dag_id == dag_run.dag_id,
                TaskInstance.execution_date == dag_run.execution_date,
                TaskInstance.task_id.in_(task_ids),
            ).update(
                {
                    TaskInstance.state: State.SKIPPED,
                    TaskInstance.start_date: now,
                    TaskInstance.end_date: now,
                },
                synchronize_session=False,
            )
        else:
            if execution_date is None:
                raise ValueError("Execution date is None and no dag run")

            self.log.warning("No DAG RUN present this should not happen")
            # this is defensive against dag runs that are not complete
            for task in tasks:
                ti = TaskInstance(task, execution_date=execution_date)
                ti.state = State.SKIPPED
                ti.start_date = now
                ti.end_date = now
                session.merge(ti)

    @provide_session
[docs]    def skip(
        self,
        dag_run,
        execution_date,
        tasks,
        session=None,
    ):
        """
        Sets tasks instances to skipped from the same dag run.

        If this instance has a `task_id` attribute, store the list of skipped task IDs to XCom
        so that NotPreviouslySkippedDep knows these tasks should be skipped when they
        are cleared.

        :param dag_run: the DagRun for which to set the tasks to skipped
        :param execution_date: execution_date
        :param tasks: tasks to skip (not task_ids)
        :param session: db session to use
        """
        if not tasks:
            return

        self._set_state_to_skipped(dag_run, execution_date, tasks, session)
        session.commit()

        # SkipMixin may not necessarily have a task_id attribute. Only store to XCom if one is available.
        try:
            task_id = self.task_id  # noqa
        except AttributeError:
            task_id = None

        if task_id is not None:
            from airflow.models.xcom import XCom

            XCom.set(
                key=XCOM_SKIPMIXIN_KEY,
                value={XCOM_SKIPMIXIN_SKIPPED: [d.task_id for d in tasks]},
                task_id=task_id,
                dag_id=dag_run.dag_id,
                execution_date=dag_run.execution_date,
                session=session,
            )

[docs]    def skip_all_except(self, ti: TaskInstance, branch_task_ids: Union[str, Iterable[str]]):
        """
        This method implements the logic for a branching operator; given a single
        task ID or list of task IDs to follow, this skips all other tasks
        immediately downstream of this operator.

        branch_task_ids is stored to XCom so that NotPreviouslySkippedDep knows skipped tasks or
        newly added tasks should be skipped when they are cleared.
        """
        self.log.info("Following branch %s", branch_task_ids)
        if isinstance(branch_task_ids, str):
            branch_task_ids = {branch_task_ids}

        branch_task_ids = set(branch_task_ids)

        dag_run = ti.get_dagrun()
        task = ti.task
        dag = task.dag

        downstream_tasks = task.downstream_list

        if downstream_tasks:
            # For a branching workflow that looks like this, when "branch" does skip_all_except("task1"),
            # we intuitively expect both "task1" and "join" to execute even though strictly speaking,
            # "join" is also immediately downstream of "branch" and should have been skipped. Therefore,
            # we need a special case here for such empty branches: Check downstream tasks of branch_task_ids.
            # In case the task to skip is also downstream of branch_task_ids, we add it to branch_task_ids and
            # exclude it from skipping.
            #
            # branch  ----->  join
            #   \            ^
            #     v        /
            #       task1
            #
            for branch_task_id in list(branch_task_ids):
                branch_task_ids.update(dag.get_task(branch_task_id).get_flat_relative_ids(upstream=False))

            skip_tasks = [t for t in downstream_tasks if t.task_id not in branch_task_ids]
            follow_task_ids = [t.task_id for t in downstream_tasks if t.task_id in branch_task_ids]

            self.log.info("Skipping tasks %s", [t.task_id for t in skip_tasks])
            with create_session() as session:
                self._set_state_to_skipped(dag_run, ti.execution_date, skip_tasks, session=session)
                # For some reason, session.commit() needs to happen before xcom_push.
                # Otherwise the session is not committed.
                session.commit()
                ti.xcom_push(key=XCOM_SKIPMIXIN_KEY, value={XCOM_SKIPMIXIN_FOLLOWED: follow_task_ids})