# -*- coding: utf-8 -*-
#
# Licensed to the Apache Software Foundation (ASF) under one
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# 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
#
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# software distributed under the License is distributed on an
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import random
from airflow.models import DAG
from airflow.operators.dummy_operator import DummyOperator
from airflow.operators.python_operator import BranchPythonOperator
from airflow.utils.dates import days_ago
args = {
'owner': 'Airflow',
'start_date': days_ago(2),
}
dag = DAG(
dag_id='example_branch_operator',
default_args=args,
schedule_interval="@daily",
tags=['example']
)
run_this_first = DummyOperator(
task_id='run_this_first',
dag=dag,
)
options = ['branch_a', 'branch_b', 'branch_c', 'branch_d']
branching = BranchPythonOperator(
task_id='branching',
python_callable=lambda: random.choice(options),
dag=dag,
)
run_this_first >> branching
join = DummyOperator(
task_id='join',
trigger_rule='none_failed_or_skipped',
dag=dag,
)
for option in options:
t = DummyOperator(
task_id=option,
dag=dag,
)
dummy_follow = DummyOperator(
task_id='follow_' + option,
dag=dag,
)
branching >> t >> dummy_follow >> join