Python implements scheduled tasks

This article mainly introduces Python to implement scheduled tasks. There are mainly 5 methods, which have certain reference value. Interested friends can refer to them.

There are many ways to implement scheduled tasks in Python. Here are several

loop sleeps:

This is the simplest way, put the information to be executed in the loop task, and then sleep for a while before executing it. The disadvantage is that it is not easy to control, and sleep is a blocking function.

def timer(n): 
  ''''' 
  每n秒执行一次 
  ''' 
  while True:  
    print time.strftime('%Y-%m-%d %X',time.localtime())  
    yourTask() # 此处为要执行的任务  
    time.sleep(n)

Threading’s Timer:

The Timer in the threading module can Helps implement scheduled tasks and is non-blocking.

For example, print helloworld after 3 seconds:

def printHello(): 
  print "hello world" 
 
Timer(3, printHello).start()

For example, print helloworld every 3 seconds:

def printHello(): 
  print "Hello World" 
  t = Timer(2, printHello) 
  t.start() 
 
 
if __name__ == "__main__": 
  printHello()

Use the sched module:

sched is a kind of scheduling (delay processing mechanism).

# -*- coding:utf-8 -*- 
# use sched to timing 
import time 
import os 
import sched 
 
 
# 初始化sched模块的scheduler类 
# 第一个参数是一个可以返回时间戳的函数，第二个参数可以在定时未到达之前阻塞。 
schedule = sched.scheduler(time.time, time.sleep) 
 
 
# 被周期性调度触发的函数 
def execute_command(cmd, inc): 
  ''''' 
  终端上显示当前计算机的连接情况 
  ''' 
  os.system(cmd) 
  schedule.enter(inc, 0, execute_command, (cmd, inc)) 
 
 
def main(cmd, inc=60): 
  # enter四个参数分别为：间隔事件、优先级（用于同时间到达的两个事件同时执行时定序）、被调用触发的函数， 
  # 给该触发函数的参数（tuple形式） 
  schedule.enter(0, 0, execute_command, (cmd, inc)) 
  schedule.run() 
 
# 每60秒查看下网络连接情况 
if __name__ == '__main__': 
  main("netstat -an", 60)

Use the timing framework APScheduler:

APScheduler is based on Quartz A Python scheduled task framework. Provides tasks based on date, fixed time interval and crontab type, and can persist tasks.

I haven’t tried this myself yet, I will add more after I have used it for a while.

Use Windows scheduled tasks:

Here you can package the required Python program into an exe file, and then run it under Windows Set up scheduled execution.

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