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:
    # (Task1) 헬스체크
    health_check = BashOperator(
        task_id='health_check',
        bash_command="curl -X GET -v http://10.231.238.224:30999/api/v1/core/health \'-H accept: application/json\'"
    )

    # (Task2) 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
    health_check