workshop-example.py.4

# -*- coding: utf-8 -*-
#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements.  See the NOTICE file
# 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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from builtins import range
from datetime import timedelta

import airflow
from airflow.models import DAG
from airflow.operators.bash_operator import BashOperator
from airflow.operators.dummy_operator import DummyOperator
from airflow.contrib.operators.bigquery_operator import BigQueryOperator

args = {
    'owner': 'airflow',
    'start_date': airflow.utils.dates.days_ago(2),
}

dag = DAG(
    dag_id='workshop_dag',
    default_args=args,
    schedule_interval='0 0 * * *',
    dagrun_timeout=timedelta(minutes=60),
)

# [START howto_operator_bash]
run_this = BashOperator(
    task_id='run_after_loop',
    bash_command='echo 1',
    dag=dag,
)
# [END howto_operator_bash]

for i in range(3):
    task = BashOperator(
        task_id='runme_' + str(i),
        bash_command='echo "{{ task_instance_key_str }}" && sleep 1',
        dag=dag,
    )
    task >> run_this

# [START howto_operator_bash_template]
also_run_this = BashOperator(
    task_id='also_run_this',
    bash_command='echo "run_id={{ run_id }} | dag_run={{ dag_run }}"',
    dag=dag,
)
# [END howto_operator_bash_template]

new_task = BashOperator(
    task_id='new_task',
    bash_command='echo "This is a fake task."',
    dag=dag,
)

run_this >> new_task
also_run_this >> new_task

bq_task = BigQueryOperator(
    task_id='bq_task',
    bql='SELECT 1', use_legacy_sql=False,
    dag=dag,
)

new_task >> bq_task

if __name__ == "__main__":
    dag.cli()