Python 计划任务未在计划时间启动

在气流中使用ExternalSensor时，我面临一个问题。计划在7:45和19:45的第一个dag未启动作业在运行2次后未启动

from datetime import timedelta, datetime
# The DAG object; we'll need this to instantiate a DAG
from airflow import DAG
# Operators; we need this to operate!
from airflow.operators.bash_operator import BashOperator
import pendulum
# These args will get passed on to each operator
# You can override them on a per-task basis during operator initialization

from dag_constants import LOCAL_TIMEZONE
local_tz = pendulum.timezone(LOCAL_TIMEZONE)
DEFAULT_ARGS = {
    'owner': 'airflow',
    'depends_on_past': False,
    'start_date': datetime(2020, 8, 27, tzinfo=local_tz),
    'email': ['airflow@example.com'],
    'email_on_failure': False,
    'email_on_retry': False,
    'retries': 1,
    'retry_delay': timedelta(minutes=5),
    # 'queue': 'bash_queue',
    # 'pool': 'backfill',
    # 'priority_weight': 99,
    # 'end_date': datetime(2016, 1, 1),
    'wait_for_downstream': False,
    # 'dag': dag,
    # 'sla': timedelta(hours=2),
    # 'execution_timeout': timedelta(seconds=600),
    # 'on_failure_callback': some_function,
    # 'on_success_callback': some_other_function,
    # 'on_retry_callback': another_function,
    # 'sla_miss_callback': yet_another_function,
    # 'trigger_rule': 'all_success'
}
EVERYDAY_8AM_DAG = DAG(
    'NEWBACK_DOWNLOADER_EVERY_7_45',
    default_args=DEFAULT_ARGS,
    description='KPC OB Shift KPI History DAG',
    schedule_interval='45 7 * * *',
    catchup=False
)

EVERYDAY_8PM_DAG = DAG(
    'NEWBACK_DOWNLOADER_EVERY_19_45',
    default_args=DEFAULT_ARGS,
    description='KPC OB Shift KPI History DAG',
    schedule_interval='45 19 * * *',
    catchup=False
)

EVERYDAY_8AM_DAG.doc_md = __doc__
EVERYDAY_8PM_DAG.doc_md = __doc__

TEMPLATE_COMMAND = """
/usr/local/bin/python /root/pipeline/src/pipeline/pipeline_newback_shift_data.py
"""

T1 = BashOperator(
    task_id='8AM_newback_downloader',
    depends_on_past=False,
    bash_command=TEMPLATE_COMMAND,
    dag=EVERYDAY_8AM_DAG,
)

T2 = BashOperator(
    task_id='8PM_newback_downloader',
    depends_on_past=False,
    bash_command=TEMPLATE_COMMAND,
    dag=EVERYDAY_8PM_DAG,
)

T1.doc_md = """\
#### Task Documentation
Download newback history data at 7.45 AM
"""

T2.doc_md = """\
#### Task Documentation
Download newback history data at 7.45 PM
"""

然后是第二个依赖于此的dag

from datetime import timedelta, datetime
# The DAG object; we'll need this to instantiate a DAG
from airflow import DAG
# To set dependency to other task
from airflow.operators.sensors import ExternalTaskSensor
# Operators; we need this to operate!
from airflow.operators.bash_operator import BashOperator
import pendulum
# These args will get passed on to each operator
# You can override them on a per-task basis during operator initialization

from dag_constants import LOCAL_TIMEZONE
local_tz = pendulum.timezone(LOCAL_TIMEZONE)
DEFAULT_ARGS = {
    'owner': 'airflow',
    'depends_on_past': False,
    'start_date': datetime(2020, 8, 27, tzinfo=local_tz),
    'email': ['airflow@example.com'],
    'email_on_failure': False,
    'email_on_retry': False,
    'retries': 3,
    'retry_delay': timedelta(minutes=3),
    # 'queue': 'bash_queue',
    # 'pool': 'backfill',
    # 'priority_weight': 10,
    # 'end_date': datetime(2016, 1, 1),
    # 'wait_for_downstream': False,
    # 'dag': dag,
    # 'sla': timedelta(hours=2),
    # 'execution_timeout': timedelta(seconds=600),
    # 'on_failure_callback': some_function,
    # 'on_success_callback': some_other_function,
    # 'on_retry_callback': another_function,
    # 'sla_miss_callback': yet_another_function,
    # 'trigger_rule': 'all_success'
}
EVERYDAY_8AM_DAG = DAG(
    'OB_SHIFT_KPI_HISTORY_PIPELINE_EVERYDAY_8AM',
    default_args=DEFAULT_ARGS,
    description='KPC OB Shift KPI Pipeline DAG',
    schedule_interval='45 7 * * *',
    catchup=False
)

EVERYDAY_8PM_DAG = DAG(
    'OB_SHIFT_KPI_HISTORY_PIPELINE_EVERYDAY_8PM',
    default_args=DEFAULT_ARGS,
    description='KPC OB Shift KPI Pipeline DAG',
    schedule_interval='45 19 * * *',
    catchup=False
)

EVERYDAY_8AM_DAG.doc_md = __doc__
EVERYDAY_8PM_DAG.doc_md = __doc__

TEMPLATE_COMMAND = """
cd /root/pipeline/cron_jobs/ && ./everyday_8_am_pm.sh
"""

T1 = BashOperator(
    task_id='every_day_at_8_am_task',
    depends_on_past=False,
    bash_command=TEMPLATE_COMMAND,
    dag=EVERYDAY_8AM_DAG,
)

T2 = BashOperator(
    task_id='every_day_at_8_pm_task',
    depends_on_past=False,
    bash_command=TEMPLATE_COMMAND,
    dag=EVERYDAY_8PM_DAG,
)

T1.doc_md = """\
#### Task Documentation
Run shift kpi history at 07.45 AM
"""

T2.doc_md = """\
#### Task Documentation
Run shift kpi history at 07.45 PM
"""

# Listen to NEWBACK_DOWNLOADER_EVERY_7_45
wait_for_newback_data_8am = ExternalTaskSensor(
    task_id='wait_for_newback_data_8am',
    external_dag_id='NEWBACK_DOWNLOADER_EVERY_7_45',
    external_task_id='8AM_newback_downloader',
    start_date=datetime(2020, 8, 27, tzinfo=local_tz),
)

wait_for_newback_data_8pm = ExternalTaskSensor(
    task_id='wait_for_newback_data_8pm',
    external_dag_id='NEWBACK_DOWNLOADER_EVERY_19_45',
    external_task_id='8PM_newback_downloader',
    start_date=datetime(2020, 8, 27, tzinfo=local_tz),
)

# Run T1 after the NEWBACK_DOWNLOADER_EVERY_7_45 successfully run
wait_for_newback_data_8am >> T1
wait_for_newback_data_8pm >> T2