# -*- 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 # # Unless required by applicable law or agreed to in writing, # software distributed under the License is distributed on an # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND, either express or implied. See the License for the # specific language governing permissions and limitations # under the License. """ ### Tutorial Documentation Documentation that goes along with the Airflow tutorial located [here](https://airflow.apache.org/tutorial.html) """ from datetime import timedelta import airflow from airflow import DAG from airflow.operators.bash_operator import BashOperator # These args will get passed on to each operator # You can override them on a per-task basis during operator initialization default_args = { 'owner': 'Airflow', 'depends_on_past': False, 'start_date': airflow.utils.dates.days_ago(2), 'email': ['airflow@example.com'], 'email_on_failure': False, 'email_on_retry': False, 'retries': 1, 'retry_delay': timedelta(minutes=5), # 'queue': 'bash_queue', # 'pool': 'backfill', # 'priority_weight': 10, # 'end_date': datetime(2016, 1, 1), # 'wait_for_downstream': False, # 'dag': dag, # 'sla': timedelta(hours=2), # 'execution_timeout': timedelta(seconds=300), # 'on_failure_callback': some_function, # 'on_success_callback': some_other_function, # 'on_retry_callback': another_function, # 'sla_miss_callback': yet_another_function, # 'trigger_rule': 'all_success' } dag = DAG( 'tutorial', default_args=default_args, description='A simple tutorial DAG', schedule_interval=timedelta(days=1), ) # t1, t2 and t3 are examples of tasks created by instantiating operators t1 = BashOperator( task_id='print_date', bash_command='date', dag=dag, ) t1.doc_md = """\ #### Task Documentation You can document your task using the attributes `doc_md` (markdown), `doc` (plain text), `doc_rst`, `doc_json`, `doc_yaml` which gets rendered in the UI's Task Instance Details page. ![img](http://montcs.bloomu.edu/~bobmon/Semesters/2012-01/491/import%20soul.png) """ dag.doc_md = __doc__ t2 = BashOperator( task_id='sleep', depends_on_past=False, bash_command='sleep 5', dag=dag, ) templated_command = """ {% for i in range(5) %} echo "{{ ds }}" echo "{{ macros.ds_add(ds, 7)}}" echo "{{ params.my_param }}" {% endfor %} """ t3 = BashOperator( task_id='templated', depends_on_past=False, bash_command=templated_command, params={'my_param': 'Parameter I passed in'}, dag=dag, ) t1 >> [t2, t3]