er1shivam commented on issue #27:
URL: 
https://github.com/apache/airflow-client-python/issues/27#issuecomment-892786390


   I am using this 
[DAG](https://airflow.apache.org/docs/apache-airflow/stable/tutorial.html#example-pipeline-definition)
 from the example on official Airflow website. Please visit [this 
link...](https://airflow.apache.org/docs/apache-airflow/stable/tutorial.html#example-pipeline-definition)
   
   ```
   
   from datetime import timedelta
   from textwrap import dedent
   
   # The DAG object; we'll need this to instantiate a DAG
   from airflow import DAG
   
   # Operators; we need this to operate!
   from airflow.operators.bash import BashOperator
   from airflow.utils.dates import days_ago
   # 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,
       'email': ['[email protected]'],
       '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'
   }
   with DAG(
       'tutorial',
       default_args=default_args,
       description='A simple tutorial DAG',
       schedule_interval=timedelta(days=1),
       start_date=days_ago(2),
       tags=['example'],
   ) as dag:
   
       # t1, t2 and t3 are examples of tasks created by instantiating operators
       t1 = BashOperator(
           task_id='print_date',
           bash_command='date',
       )
   
       t2 = BashOperator(
           task_id='sleep',
           depends_on_past=False,
           bash_command='sleep 5',
           retries=3,
       )
       t1.doc_md = dedent(
           """\
       #### 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__  # providing that you have a docstring at the 
beggining of the DAG
       dag.doc_md = """
       This is a documentation placed anywhere
       """  # otherwise, type it like this
       templated_command = dedent(
           """
       {% 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'},
       )
   
       t1 >> [t2, t3]
   
   
   ```
   


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