# # Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. The ASF licenses this file # to you under the Apache License, Version 2.0 (the # "License"); you may not use this file except in compliance # with the License. You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, # software distributed under the License is distributed on an # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND, either express or implied. See the License for the # specific language governing permissions and limitations # under the License. """Contains an operator to run downstream tasks only for the latest scheduled DagRun.""" from __future__ import annotations from typing import TYPE_CHECKING, Iterable import pendulum from airflow.operators.branch import BaseBranchOperator if TYPE_CHECKING: from airflow.models import DAG, DagRun from airflow.utils.context import Context 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. external_trigger), all directly downstream tasks will be skipped. Note that downstream tasks are never skipped if the given DAG_Run is marked as externally triggered. """ ui_color = "#e9ffdb" # nyanza 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.external_trigger: self.log.info("Externally triggered DAG_Run: allowing execution to proceed.") return list(context["task"].get_direct_relative_ids(upstream=False)) dag: DAG = context["dag"] next_info = dag.next_dagrun_info(dag.get_run_data_interval(dag_run), restricted=False) now = pendulum.now("UTC") if next_info is None: self.log.info("Last scheduled execution: allowing execution to proceed.") return list(context["task"].get_direct_relative_ids(upstream=False)) left_window, right_window = next_info.data_interval 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 [] else: self.log.info("Latest, allowing execution to proceed.") return list(context["task"].get_direct_relative_ids(upstream=False))