Question

我关于此应用程序应如何工作的思维模型是能够将调用add_job的进程与坐在该进程中的进程分开。

当我在开始计划之前添加作业时，此方法可以正常工作，尽管当我尝试将其分离为单独的功能时，效果却不佳。为什么？我需要调用的add_job之后有提交功能吗？

我正在使用sqlite和BlockingScheduler，尽管移至postgresql进行调试，但对我的目的更有意义。

from datetime import datetime, timedelta
from time import sleep
import logging

from apscheduler.executors.pool import ThreadPoolExecutor, ProcessPoolExecutor
from apscheduler.jobstores.sqlalchemy import SQLAlchemyJobStore
from apscheduler.schedulers.blocking import BlockingScheduler
from apscheduler.schedulers.background import BackgroundScheduler
import click
from crontab import CronTab
import pytz


logging.basicConfig()
logging.getLogger('apscheduler').setLevel(logging.DEBUG)


jobstores = {
    'default': SQLAlchemyJobStore(url='postgresql+psycopg2://myusername:mypassword@localhost/mydb')
}
executors = {
    'default': ThreadPoolExecutor(5),
    'processpool': ProcessPoolExecutor(5)
}
job_defaults = {
    'coalesce': False,
    'max_instances': 3
}


sched = BackgroundScheduler(jobstores=jobstores, timezone=pytz.timezone('Australia/Sydney'))


def my_job(text):
    now = datetime.now()
    print(f'{now} text: {text}')


@click.group()
def cli():
    pass


@click.command()
@click.option('--message', default='<BLANK>', help='to display when ')
@click.option('--crontab', default='*/1 * * * *', help='Timestamp of ')
def add_job(message, crontab):
    # entry = CronTab('0 0 ? * TUE,THU')
    entry = CronTab(crontab)

    number_of_seconds = entry.next()

    timestamp = datetime.now(pytz.timezone('Australia/Sydney')) + timedelta(seconds=number_of_seconds)
    move_service_message = f'Service {message} will be moved @ {timestamp}'

    sched.add_job(
        my_job, 
        'date', 
        run_date=timestamp, 
        args=[move_service_message]
    )

    print('added job:' + move_service_message)


@click.command()
def start():
    # this will wait forever
    sched.start()

    try:
        # This is here to simulate application activity (which keeps the main thread alive).
        while True:
            sleep(10)
    except (KeyboardInterrupt, SystemExit):
        # Not strictly necessary if daemonic mode is enabled but should be done if possible
        sched.shutdown()


cli.add_command(start)
cli.add_command(add_job)


if __name__ == "__main__":
    exit_code = 0  # assume it will be okay
    time_started = datetime.now()
    try:
        cli()
    except Exception as e:
        print('Exception:', e)
        exit_code = 1
    finally:
        exit(exit_code)

我的包裹是最新的，包括

APScheduler          3.6.0
SQLAlchemy           1.3.1

Answer 1

似乎我所认为的可能与FAQ中所记录的不一样。尽管只是修改了我的期望，我仍然会使用它。

apsheduler的关注点分离打破了它

1 个答案: