text: from airflow import DAG
  from airflow.operators.dummy_operator import DummyOperator
  
  from datetime import datetime, timedelta
  
  default_args = {
      'start_date': datetime(2019, 3, 29, 1),
      'owner': 'Airflow'
  }
  
  with DAG(dag_id='start_and_schedule_dag', schedule_interval="0 * * * *", default_args=default_args) as dag:
      
      # Task 1
      dummy_task_1 = DummyOperator(task_id='dummy_task_1')
      
      # Task 2
      dummy_task_2 = DummyOperator(task_id='dummy_task_2')
      
      dummy_task_1 >> dummy_task_2
      
      # Logs to help you (printed from the web server logs)
      # Uncomment when you use the DAG, comment when not
      """run_dates = dag.get_run_dates(start_date=dag.start_date)
      next_execution_date = run_dates[-1] if len(run_dates) != 0 else None
      print('[DAG:start_and_schedule_dag] start_date: {0} - schedule_interval: {1} - Last execution_date: {2} - next execution_date {3} in UTC'.format(
          dag.default_args['start_date'], 
          dag._schedule_interval, 
          dag.latest_execution_date, 
          next_execution_date
          ))""" 