airflow/dags/groupuser/gumanjomhaja.py

36 lines
1.1 KiB
Python

import time
import pendulum
from datetime import datetime
from airflow import DAG
from airflow.operators.python import PythonOperator
KST = pendulum.timezone('Asia/Seoul')
def task1():
print('Task 1 execute time ', datetime.now(tz=KST).strftime('%Y-%m-%d %H-%M-%S'))
time.sleep(10)
def task2():
print('Task 2 execute time ', datetime.now(tz=KST).strftime('%Y-%m-%d %H-%M-%S'))
time.sleep(10)
def task3():
print('Task 3 execute time ', datetime.now(tz=KST).strftime('%Y-%m-%d %H-%M-%S'))
time.sleep(10)
def task4():
print('Task 4 execute time ', datetime.now(tz=KST).strftime('%Y-%m-%d %H-%M-%S'))
with DAG(
dag_id='gumanjomhaja',
default_args={'retries': 1},
schedule='@once',
start_date=datetime(2025, 8, 11, tzinfo=KST),
catchup=False,
) as dag:
t1 = PythonOperator(task_id='task1', python_callable=task1)
t2 = PythonOperator(task_id='task2', python_callable=task2)
t3 = PythonOperator(task_id='task3', python_callable=task3)
t4 = PythonOperator(task_id='task4', python_callable=task4)
t1 >> t2 >> t3 >> t4