batch_test.py

from datetime import datetime, timedelta
from textwrap import dedent
import pendulum
from airflow.operators.bash import BashOperator
from airflow import DAG
from data.gasan_data import gasanData   # import cj-gasan data

# set timezone
local_tz = pendulum.timezone("Asia/Seoul")

with DAG(
    'batch_test',
    default_args={
        'depends_on_past': False,
        'email': 'kim-jy@lotte.net',
    },
    description='Test Batch Job',
    schedule_interval='*/1 * * * *',
    start_date=datetime(2022, 5, 13, tzinfo=local_tz),
    tags=['test'],
    catchup=False,
) as dag:
    # gasan 작업 병렬처리
    post_gasan_tasks = []

    for i, data in enumerate(gasanData):
        post_gasan_task = BashOperator(
            task_id='post_gasan'+str(i+1),
            bash_command="curl -X \'POST\' \'http://10.231.238.224:30999/api/v1/camera/writeimage\' -H \'Content-Type: application/json\' -d \'{\"id\": \"test\", \"pw\": \"test\", \"ip\": \"%s\", \"serialNum\": \"%s\", \"camName\": \"%s\"}\'" %(data["ip"], data["serialNum"], data["camName"]),
        )

        post_gasan_tasks.append(post_gasan_task)

    # 작업 순서 정의
    post_gasan_tasks