[GitHub] [airflow] fzhcary commented on a change in pull request #1043: Adding an example to illustrate the TriggerDagRunOperator

[GitBox <gi...@apache.org>]

fzhcary commented on a change in pull request #1043:
URL: https://github.com/apache/airflow/pull/1043#discussion_r477289034



##########
File path: airflow/example_dags/example_trigger_target_dag.py
##########
@@ -0,0 +1,43 @@
+from airflow.operators import *
+from airflow.models import DAG
+from datetime import date, datetime, time, timedelta
+
+import pprint
+pp = pprint.PrettyPrinter(indent=4)
+
+# This example illustrates the use of the TriggerDagRunOperator. There are 2
+# entities at work in this scenario:
+# 1. The Controller DAG - the DAG that conditionally executes the trigger
+#    (in example_trigger_controller.py)
+# 2. The Target DAG - DAG being triggered
+#
+# This example illustrates the following features :
+# 1. A TriggerDagRunOperator that takes:
+#   a. A python callable that decides whether or not to trigger the Target DAG
+#   b. An optional params dict passed to the python callable to help in
+#      evaluating whether or not to trigger the Target DAG
+#   c. The id (name) of the Target DAG
+#   d. The python callable can add contextual info to the DagRun created by
+#      way of adding a Pickleable payload (e.g. dictionary of primitives). This
+#      state is then made available to the TargetDag
+# 2. A Target DAG : c.f. example_trigger_target_dag.py
+
+args = {
+    'start_date': datetime.now(),
+    'owner': 'airflow',
+}
+
+dag = DAG(
+    dag_id='example_trigger_target_dag',
+    default_args=args,
+    schedule_interval=None)
+
+
+def run_this_func(ds, **kwargs):
+    print( "Remotely received value of {} for key=message".format(kwargs['dag_run'].conf['message']))
+
+run_this = PythonOperator(

Review comment:
       don't you need import PythonOperator?




----------------------------------------------------------------
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.

For queries about this service, please contact Infrastructure at:
users@infra.apache.org