batch_test.py

from datetime import datetime, timedelta
from textwrap import dedent
import pendulum
from airflow.operators.bash import BashOperator
from airflow import DAG

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

# gasan 데이터 선언
gasan_data = [
	{
		"ip": "10.231.130.110",
		"serialNum": "7D0B3C9PAGFCF3C",
		"camName": "dt_lab_1"
	},
	{
		"ip": "10.231.130.111",
		"serialNum": "7D0B3C9PAG8D150",
		"camName": "dt_lab_2"
	},
	{
		"ip": "10.231.130.112",
		"serialNum": "7D0B3C9PAGBB838",
		"camName": "dt_lab_3"
	},
	{
		"ip": "10.231.130.113",
		"serialNum": "7D0B3C9PAG17F50",
		"camName": "dt_lab_4"
	},
]

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(gasan_data):
        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)

    post_gasan_tasks