default_args = {
'owner': 'airflow',
'start_date': airflow.utils.dates.days_ago(2),
'provide_context': True
}
dag = DAG(dag_id='gw', default_args=default_args, schedule_interval='@once')
train_op = SageMakerTrainingOperator(task_id='tf_training',
config=train_dkn_config,
wait_for_completion=True,
dag=dag)
task_def_op = PythonOperator(task_id='task_definition',
python_callable=task_def,
op_args=['gw1'],
provide_context=True,
dag=dag)
deploy_ecs_op = PythonOperator(task_id='run_task',
python_callable=deploy_model_ecs,
op_args=['gw1'],
provide_context=True,
dag=dag)
# deploy_ecs_op.set_upstream(task_def_op)
# task_def_op.set_upstream(train_op)
init.set_downstram(task_def_op)
task_def_op.set_downstram(deploy_ecs_op)
