DAG 在 Airflow UI 上不可见

Question

This is my dag file in dags folder.

Code that goes along with the Airflow located at:
http://airflow.readthedocs.org/en/latest/tutorial.html
"""
from airflow import DAG
from airflow.operators.dummy_operator import DummyOperator
from airflow.operators.python_operator import PythonOperator
from datetime import datetime, timedelta
from work_file import Test


class Main(Test):
    def __init__(self):
        super(Test, self).__init__()

    def create_dag(self):
        default_args = {
            "owner": "airflow",
            "depends_on_past": False,
            "start_date": datetime(2015, 6, 1),
            "email": ["airflow@airflow.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),
        }
        dag = DAG("python_dag", default_args=default_args, schedule_interval='0 * * * *')

        dummy_task = DummyOperator(task_id='dummy_task', retries=3)

        python_task = PythonOperator(task_id='python_task', python_callable=self.my_func)

        dummy_task >> python_task


if __name__ == "__main__":
    a = Main()
    a.create_dag()

This is my other file work_file.py which is in the same dags folder.

class Test:
    def __init__(self):
        pass

    def my_func(self):
        return "Hello"

Aim :-The Aim is to call the my_func from my dag file.

Problem :- There seems to be no error on the UI,but my dag python_dag is not visible.

My server, scheduler is also running, I've tried restarting the same but nothing happened.

I have imported the file as well ( from work_file import Test )

Thanks in advance!

Answer 1

There are multiple problems with the DAG:

1. The operators are not assigned to any DAG. Add dag=dag to the constructors. Eg, DummyOperator(..., dag=dag) .
2. create_dag() does not return the DAG. Add return dag .
3. The DAG script is not executed as the top level code. That is, the modules __name__ is never '__main__' . Remove if __name__ == "__main__": .
4. The DAG objects must be in the global namespace of the module. Assign the return value of create_dag() to a variable: dag = a.create_dag() .