Created
October 21, 2019 10:37
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Airflow subdag
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# Failed trial of airflow subdag with timezone aware | |
from datetime import datetime, timedelta | |
import pendulum | |
from airflow import DAG | |
from airflow.operators.python_operator import PythonOperator | |
from airflow.operators.subdag_operator import SubDagOperator | |
default_args = { | |
"owner": "airflow", | |
"start_date": datetime(2018, 11, 1, tzinfo=pendulum.timezone("Etc/GMT+12")), | |
} | |
# Dag is returned by a factory method | |
def sub_dag( | |
parent_dag_name, | |
child_dag_name, | |
start_date, | |
schedule_interval, | |
tzinfo: datetime.tzinfo, | |
): | |
dag = DAG( | |
"%s.%s" % (parent_dag_name, child_dag_name), | |
schedule_interval=schedule_interval, | |
start_date=start_date, | |
) | |
PythonOperator( | |
task_id="task", | |
provide_context=True, | |
python_callable=f1, | |
dag=dag, | |
op_kwargs={"tzinfo": tzinfo}, | |
) | |
return dag | |
def f1(tzinfo: datetime.tzinfo = None, **context): | |
if tzinfo is not None: | |
print(("local time:", tzinfo.convert(context["execution_date"]))) | |
for key in context: | |
print((key, context[key])) | |
PARENT_DAG_NAME = "timezone" | |
with DAG( | |
PARENT_DAG_NAME, catchup=True, default_args=default_args, schedule_interval="@daily" | |
) as dag: | |
task = PythonOperator( | |
task_id="t1", provide_context=True, python_callable=f1, dag=dag | |
) | |
task2 = PythonOperator( | |
task_id="t2", provide_context=True, python_callable=f1, dag=dag | |
) | |
list_tz = [ | |
"Europe/Amsterdam", | |
"America/New_York", | |
"America/Los_Angeles", | |
"Asia/Jakarta", | |
"Asia/Kolkata", | |
"Asia/Taipei", | |
] | |
for tz in list_tz: | |
format_tz = tz.replace("/", "_") | |
subdag = SubDagOperator( | |
subdag=sub_dag( | |
parent_dag_name=PARENT_DAG_NAME, | |
child_dag_name=format_tz, | |
start_date=datetime(2018, 11, 1, tzinfo=pendulum.timezone(tz)), | |
schedule_interval="@daily", | |
tzinfo=pendulum.timezone(tz), | |
), | |
task_id=format_tz, | |
dag=dag, | |
) | |
task >> subdag >> task2 | |
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