mik-laj commented on a change in pull request #4291: [AIRFLOW-1488] Add the DagRunSensor operator URL: https://github.com/apache/airflow/pull/4291#discussion_r255336430
########## File path: airflow/contrib/sensors/dagrun_sensor.py ########## @@ -0,0 +1,76 @@ +# -*- coding: utf-8 -*- +# +# Licensed 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. +import logging +from airflow import settings +from airflow.exceptions import AirflowException +from airflow.utils.state import State +from airflow.utils.decorators import apply_defaults +from airflow.utils.trigger_rule import TriggerRule +from airflow.models import DagRun +from airflow.sensors.base_sensor_operator import BaseSensorOperator + + +class DagRunSensor(BaseSensorOperator): + """ + Waits for DAG run(s) to complete and checks status. + + :param trigger_task_id: The id of the task that triggered the dags + and returns a list of dagrun ids to monitor. + :type trigger_task_id: str + :param sensor_rule: criteria for success after dagruns complete. + Default is ``TriggerRule.ONE_SUCCESS`` + :type sensor_rule: str + """ + @apply_defaults + def __init__( + self, + trigger_task_id, + sensor_rule=None, + *args, **kwargs): + super(DagRunSensor, self).__init__(*args, **kwargs) + self.sensor_rule = sensor_rule or TriggerRule.ONE_SUCCESS + self.trigger_task_id = trigger_task_id + + def poke(self, context): + session = settings.Session() + try: + runcount = 0 + ti = context['ti'] + dagrun_ids = ti.xcom_pull(task_ids=self.trigger_task_id) + if dagrun_ids: + ids = dagrun_ids[:2] + ids = ids + ['...'] if len(dagrun_ids) > 2 else ids + logging.info('Poking for {}'.format(','.join(ids))) + runcount = session.query(DagRun).filter( + DagRun.run_id.in_(dagrun_ids), + DagRun.state == State.RUNNING, + ).count() + else: + raise AirflowException("No dagrun ids returned by '{}'".format( + self.trigger_task_id)) + logging.info('runcount={}'.format(runcount)) Review comment: ```suggestion logging.info('runcount=%s', runcount) ``` ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services
