dag = DAG('emr_job_flow_automatic_steps_17',
         default_args=default_args,
         schedule_interval="@daily",
         max_active_runs=1,
         catchup=True,
)


upload_to_S3_task = PythonOperator(
   task_id='upload_to_S3',
   python_callable=upload_file_to_S3,
   op_kwargs={
       'filename': '/home/ab/projects/test.py',
       'key': 'test.py',
       'bucket_name': 'dep-buck',
   },
   dag=dag)

cluster_creator = EmrCreateJobFlowOperator(
   task_id='create_job_flow2',
   job_flow_overrides=JOB_FLOW_OVERRIDES,
   aws_conn_id='aws_default',
   emr_conn_id='emr_default',
   dag=dag
)

step_adder = EmrAddStepsOperator(
   task_id='add_steps',
   job_flow_id="{{ task_instance.xcom_pull('create_job_flow2', key='return_value') }}",
   aws_conn_id='aws_default',
   steps=step,
   dag=dag
)
step_checker = EmrStepSensor(
   task_id='watch_step',
   job_flow_id="{{ task_instance.xcom_pull('create_job_flow2', key='return_value') }}",
   step_id="{{ task_instance.xcom_pull('add_steps', key='return_value')[0] }}",
   aws_conn_id='aws_default',
   dag=dag
)

cluster_remover = EmrTerminateJobFlowOperator(
   task_id='remove_cluster',
   job_flow_id="{{ task_instance.xcom_pull('create_job_flow2', key='return_value') }}",
   aws_conn_id='aws_default',
   dag=dag
)

upload_to_S3_task >> cluster_creator >> step_adder >> step_checker >> cluster_remover