from datetime import datetime, timedelta
from textwrap import dedent
import pendulum
from airflow.operators.bash import BashOperator
from airflow import DAG
from airflow.models import Variable
from data.mart_data import martData   # import mart data
from fail_alert import fail_alert   # 실패 시 Teams 알림 발송

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

# set dag
with DAG(
    'bc-mart',
    default_args={
        'depends_on_past': False,
        'email': 'kim-jy@lotte.net',
        #'on_failure_callback': fail_alert
        'on_success_callback': fail_alert
    },
    description='dag for mart batch jobs',
    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 {api_url}/api/v1/core/health \'-H accept: application/json\'".format(
            api_url=Variable.get("INF_API_URL")
        ),
    )

    # (Task2) mart 작업 병렬처리
    post_mart_tasks = []

    for i, data in enumerate(martData):
        post_mart_task = BashOperator(
            task_id='post_gasan'+str(i+1),
            bash_command="curl -X \'POST\' \'%s/api/v1/camera/writeimage\' -H \'Content-Type: application/json\' -d \'{\"id\": \"%s\", \"%s\": \"test\", \"ip\": \"%s\", \"serialNum\": \"%s\", \"camName\": \"%s\"}\'" %(
                Variable.get("INF_API_URL"), 
                Variable.get("INF_API_ID"), 
                Variable.get("INF_API_PW"), 
                data["ip"], 
                data["serialNum"], 
                data["camName"]
            ),
        )

        post_mart_tasks.append(post_mart_task)

    # 작업 순서 정의
    health_check >> post_mart_tasks