Python timing task: sched

schedIt can be used for timed tasks. The only thing to note is that these tasks run in one thread. If the previous tasks take too long, the later tasks will be delayed.

But its use method is still very simple, mainly encapsulates a classscheduler

import sched
import time

def printName(name):
    print(name,"@",time.time())

s = sched.scheduler()
s.enter(5,1,printName,("5 - 1",))
s.enter(5,2,printName,("5 - 2",))
s.enter(10,1,printName,("10 - 1",))
s.run()

Among them, enteris sthe event added in, the first two parameters of which represent the delay time and task execution sequence respectively; printNameis the function to be executed, ("5-1",)is the parameter list, indicating the first task to be executed in the 5s.

Its execution result is as follows

5 - 1 @ 1649725436.606954
5 - 2 @ 1649725436.6229577
10 - 1 @ 1649725441.6388779

If a delay is added to the function, subsequent tasks will be delayed

def printName(name):
    print(name,"@",time.time())
    time.sleep(6)

Its output is

5 - 1 @ 1649725617.7624931
5 - 2 @ 1649725623.7689147
10 - 1 @ 1649725629.7827168

In contrast enterto cancel(evt)sum empty, the former can delete an event, and the latter can clear all events.

If threadused together, the schedblocking problem can be solved.

import sched
import threading
import time

def printNameByThread(name):
    threading.Thread(target=printName,args=[name]).start()

s = sched.scheduler()
s.enter(5,1,printNameByThread,("5 - 1",))
s.enter(5,2,printNameByThread,("5 - 2",))
s.enter(10,1,printNameByThread,("10 - 1",))

s.run()

Its output is

5 - 1 @ 1649725777.2276525
5 - 2 @ 1649725777.2276525
10 - 1 @ 1649725782.2158542

Therefore, skilled use threadof and sched, you can arrange timed tasks.