[Dynamic Language] Python定时任务框架

APScheduler是一个Python定时任务框架，使用起来十分方便。提供了基于日期、固定时间间隔以及crontab类型的任务，并且可以持久化任务、并以daemon方式运行应用。

测试计划任务

mac-abeen:timetask abeen$ vim testtask.py

   1 # !/usr/bin/env python
   2 # -*- encoding:utf-8 -*-
   3
   4 from datetime import datetime
   5
   6
   7 class TestTask(object):
   8     """
   9         测试计划任务
  10     """
  11
  12     def print_file(self, content):
  13         f = open("testtask.log", "a")
  14         f.write(content)
  15         f.close()
  16
  17
  18     def run_second(self):
  19         self.print_file("run_second is run on {0} \r\n ".format(datetime.now()))
  20
  21
  22     def run_minute(self):
  23         self.print_file("run_minute is run on {0} \r\n ".format(datetime.now()))
  24
  25
  26
  27
  28 if __name__ == "__main__":
  29     tt = TestTask()
  30     tt.run_second()
  31     tt.run_minute()

任务执行
mac-abeen:timetask abeen$ vim run_task.py

   1 # !/usr/bin/env python
   2 # -*- encoding:utf-8 -*-
   3
   4 from datetime import datetime
   5 import time
   6 from apscheduler.schedulers.blocking import BlockingScheduler
   7 from testtask import TestTask
   8
   9 def run():
  10     scheduler = BlockingScheduler()
  11     scheduler.add_job(func=TestTask().run_second, trigger=‘interval‘, seconds=3)
  12     scheduler.add_job(func=TestTask().run_minute, trigger=‘interval‘, seconds=60)
  13
  14     scheduler.start()
  15
  16
  17 if __name__ == "__main__":
  18     print "scheduler is run ......"
  19     run()

日志记录（测试部分日志信息）

1 run_second is run on 2017-06-29 15:13:16.070406
   2  run_minute is run on 2017-06-29 15:13:16.071498
   3  run_second is run on 2017-06-29 15:13:32.378192
   ...
  22  run_minute is run on 2017-06-29 15:14:29.379333
  23  run_second is run on 2017-06-29 15:14:29.379462
  24  run_second is run on 2017-06-29 15:14:32.380961
 ...
  44  run_minute is run on 2017-06-29 15:15:29.380135
  45  run_second is run on 2017-06-29 15:15:32.380093
  46  run_second is run on 2017-06-29 15:15:35.378075
....

官方资料帮助：
https://pypi.python.org/pypi/APScheduler/#downloads