| # 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. |
| from __future__ import annotations |
| |
| import datetime |
| |
| from airflow.decorators import task |
| from airflow.models.dag import DAG |
| from airflow.sensors.date_time import DateTimeSensor |
| from airflow.utils import timezone |
| |
| with DAG( |
| dag_id="test_sensor", start_date=datetime.datetime(2022, 1, 1), catchup=False, schedule="@once" |
| ) as dag: |
| |
| @task |
| def get_date(): |
| return str(timezone.utcnow() + datetime.timedelta(seconds=3)) |
| |
| DateTimeSensor(task_id="dts", target_time=str(get_date()), poke_interval=1, mode="reschedule") |