Source code for airflow.providers.standard.operators.latest_only
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# to you under the Apache License, Version 2.0 (the
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#
# http://www.apache.org/licenses/LICENSE-2.0
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"""Contains an operator to run downstream tasks only for the latest scheduled DagRun."""
from __future__ import annotations
from collections.abc import Iterable
from datetime import timedelta
from typing import TYPE_CHECKING
import pendulum
from airflow.providers.standard.operators.branch import BaseBranchOperator
from airflow.providers.standard.version_compat import AIRFLOW_V_3_0_PLUS
from airflow.utils.types import DagRunType
if TYPE_CHECKING:
from pendulum.datetime import DateTime
from airflow.models import DagRun
try:
from airflow.sdk.definitions.context import Context
except ImportError:
# TODO: Remove once provider drops support for Airflow 2
from airflow.utils.context import Context
[docs]
class LatestOnlyOperator(BaseBranchOperator):
"""
Skip tasks that are not running during the most recent schedule interval.
If the task is run outside the latest schedule interval (i.e. run_type == DagRunType.MANUAL),
all directly downstream tasks will be skipped.
Note that downstream tasks are never skipped if the given DAG_Run is
marked as externally triggered.
Note that when used with timetables that produce zero-length or point-in-time data intervals
(e.g., ``DeltaTriggerTimetable``), this operator assumes each run is the latest
and does not skip downstream tasks.
"""
[docs]
ui_color = "#e9ffdb" # nyanza
[docs]
def choose_branch(self, context: Context) -> str | Iterable[str]:
# If the DAG Run is externally triggered, then return without
# skipping downstream tasks
dag_run: DagRun = context["dag_run"] # type: ignore[assignment]
if dag_run.run_type == DagRunType.MANUAL:
self.log.info("Manually triggered DAG_Run: allowing execution to proceed.")
return list(self.get_direct_relative_ids(upstream=False))
dates = self._get_compare_dates(dag_run)
if dates is None:
self.log.info("Last scheduled execution: allowing execution to proceed.")
return list(self.get_direct_relative_ids(upstream=False))
now = pendulum.now("UTC")
left_window, right_window = dates
self.log.info(
"Checking latest only with left_window: %s right_window: %s now: %s",
left_window,
right_window,
now,
)
if not left_window < now <= right_window:
self.log.info("Not latest execution, skipping downstream.")
# we return an empty list, thus the parent BaseBranchOperator
# won't exclude any downstream tasks from skipping.
return []
self.log.info("Latest, allowing execution to proceed.")
return list(self.get_direct_relative_ids(upstream=False))
def _get_compare_dates(self, dag_run: DagRun) -> tuple[DateTime, DateTime] | None:
dagrun_date: DateTime
if AIRFLOW_V_3_0_PLUS:
dagrun_date = dag_run.logical_date or dag_run.run_after
else:
dagrun_date = dag_run.logical_date
from airflow.timetables.base import DataInterval, TimeRestriction
current_interval = DataInterval(
start=dag_run.data_interval_start or dagrun_date,
end=dag_run.data_interval_end or dagrun_date,
)
time_restriction = TimeRestriction(
earliest=None, latest=current_interval.end - timedelta(microseconds=1), catchup=True
)
if prev_info := self.dag.timetable.next_dagrun_info(
last_automated_data_interval=current_interval,
restriction=time_restriction,
):
left = prev_info.data_interval.end
else:
left = current_interval.start
time_restriction = TimeRestriction(earliest=current_interval.end, latest=None, catchup=True)
next_info = self.dag.timetable.next_dagrun_info(
last_automated_data_interval=current_interval,
restriction=time_restriction,
)
if not next_info:
return None
return (left, next_info.data_interval.end)