 from airflow.models import DAG
from airflow.operators.python_operator import PythonOperator
from datetime import datetime,timedelta

from zltask import task_quyu
from zlhawq.pxf import add_quyu


tag='##cdc##'


default_args = {'owner': 'root',
                'depends_on_past': False,
                'start_date': datetime##(2019,1,1)##+timedelta##(hours=24)##, }

d = DAG('##quyuName##'
        , default_args=default_args
        , schedule_interval="##0 0/12 * * *##"
        ,max_active_runs=1)


t0a=PythonOperator(task_id="##anqing_a1##",python_callable=task_quyu,dag=d
        ,op_kwargs={"quyu":"##task_anqing##","loc":"##kunming##","flag":"##flag##"}
        ,pool="##abc_a##"
        ,execution_timeout=timedelta(##minutes=60##))

t0b=PythonOperator(task_id="##anqing_b1##",python_callable=add_quyu
                ,op_kwargs={"quyu":"##anhui_anqing##","tag":tag,"loc":"##kunming##"}
                ,dag=d
                ,trigger_rule="all_done"
                ,pool="abc_b"

                ,depends_on_past=False
                ,retries=2, retry_delay=timedelta(seconds=30)
                ,execution_timeout=timedelta(minutes=60))


t0a>>t0b