from datetime import datetime, timedelta
from textwrap import dedent
import pendulum

# The DAG object; we'll need this to instantiate a DAG
from airflow import DAG

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

# Operators; we need this to operate!
from airflow.operators.bash import BashOperator
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 in range(4):
        post_gasan_task = BashOperator(
            task_id='post_gasan'+str(i),
            bash_command="curl -X \'POST\' \'http://10.231.238.224:30999/api/v1/camera/writeimage\' -H \'Content-Type: application/json\' -d \'{\"id\": \"test%s\", \"pw\": \"test\", \"ip\": \"10.123.123.1\", \"serialNum\": \"aaaa\", \"camName\": \"abc\"}\'" %(str(i)),
        )

        post_gasan_tasks.append(post_gasan_task)

    post_gasan_tasks
    # t1