kukigai commented on a change in pull request #11484:
URL: https://github.com/apache/airflow/pull/11484#discussion_r503582103
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File path: airflow/operators/dagrun_operator.py
##########
@@ -92,11 +97,39 @@ def execute(self, context: Dict):
execution_date = timezone.utcnow()
run_id = DagRun.generate_run_id(DagRunType.MANUAL, execution_date)
- # Ignore MyPy type for self.execution_date because it doesn't pick up
the timezone.parse() for strings
- trigger_dag(
- dag_id=self.trigger_dag_id,
- run_id=run_id,
- conf=self.conf,
- execution_date=self.execution_date,
- replace_microseconds=False,
- )
+ try:
+ # Ignore MyPy type for self.execution_date because it doesn't pick
up the timezone.parse() for strings
+ trigger_dag(
+ dag_id=self.trigger_dag_id,
+ run_id=run_id,
+ conf=self.conf,
+ execution_date=self.execution_date,
+ replace_microseconds=False,
+ )
+
+ except DagRunAlreadyExists as e:
+ if self.reset_dag_run:
+ self.log.info(f"Clearing {self.trigger_dag_id} on
{self.execution_date}")
+
+ # Get target dag object and call clear()
+
+ dag_model = DagModel.get_current(self.trigger_dag_id)
+ if dag_model is None:
+ raise DagNotFound("Dag id {} not found in
DagModel".format(self.trigger_dag_id))
+
+ def read_store_serialized_dags():
+ from airflow.configuration import conf
+ return conf.getboolean('core', 'store_serialized_dags')
+
+ dag_bag = DagBag(
+ dag_folder=dag_model.fileloc,
+ store_serialized_dags=read_store_serialized_dags()
+ )
Review comment:
it does the same thing as
https://github.com/apache/airflow/blob/master/airflow/api/common/experimental/trigger_dag.py#L115-L125
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