Python的一個定時任務框架APScheduler

APScheduler是基於Quartz(java實現的一個開源作業調度框架)的一個Python定時任務框架，實現了Quartz的所有功能，使用起來十分方便

項目地址 https://bitbucket.org/agronholm/apscheduler/

文檔 http://apscheduler.readthedocs.org/en/3.0/

 

簡單查看文檔

APScheduler has four kinds of components:

• triggers
• job stores
• executors
• schedulers

Here’s a quick guide for choosing a scheduler

• BlockingScheduler: use when the scheduler is the only thing running in your process
• BackgroundScheduler: use then you’re not using any of the frameworks below, and want the scheduler to run in the background inside your application
• AsyncIOScheduler: use if your application uses the asyncio module
• GeventScheduler: use if your application uses gevent
• TornadoScheduler: use if you’re building a Tornado application
• TwistedScheduler: use if you’re building a Twisted application
• QtScheduler: use if you’re building a Qt application

常見的幾種調度栗子

apschedules/examples/

https://bitbucket.org/agronholm/apscheduler/src/a6545cf29831bb6d8f055aeb2fa9d5204e9bd192/examples/?at=master

 

參照栗子，我可以迅速的寫出最常規的BlockingScheduler調度

from datetime import datetime
import os

from apscheduler.schedulers.blocking import BlockingScheduler

def tick():
    print('Tick! The time is: %s' % datetime.now())


if __name__ == '__main__':
    scheduler = BlockingScheduler()
    scheduler.add_job(tick, 'interval', seconds=3)
    print('Press Ctrl+{0} to exit'.format('Break' if os.name == 'nt' else 'C'))

    try:
        scheduler.start()
    except (KeyboardInterrupt, SystemExit):
        pass

add_job函數這里有一個max_instances參數用於指定當前工作同時運行的實例數量，默認為1，

但是可能的上一個工作正在運行而未結束，那么下一個就認為失敗, 那么此時可以為一個特定的作業設置最大數量的調度程序

如：

scheduler.add_job(tick, 'interval', seconds=3, max_instances=6)

job.modify(max_instances=6, name='Alternate name')

更多的信息參考文檔以及examples。