python使用多线程threading解决sched的阻塞问题

import datetime
import sched
import threading
import time


def init():
    global s
    s = sched.scheduler(time.time,time.sleep)

def job1():
    print("i am working in job1")

def job2():
    print("i am working in job2")



def task1():
    threading.Thread(target=job1).start()
    s.enter(2,1,task1)

def task2():
    threading.Thread(target=job2).start()
    s.enter(5,1,task2)


def main():
    init()
    s.enter(2,1,task1)
    s.enter(5,1,task2)
    s.run()
    print(time.time)


if __name__=="__main__":
    main()

很明显，这样使用sched.scheduler中的run() 会对线程进行阻塞，最后的print(time.time)迟迟没法打印出来。

import datetime
import sched
import threading
import time


def job1():
    print("i am working in job1")
    

def job2():
    print("i am working in job2")
    

def task1():
    s1 = sched.scheduler(time.time,time.sleep)
    s1.enter(2,1,job1)
    s1.run()

def task2():
    s2 = sched.scheduler(time.time,time.sleep)
    s2.enter(5,1,job2)
    s2.run()


def main():

    print("start")

    threading.Thread(target=task1).start()
    threading.Thread(target=task2).start()

    print("end")

if __name__=="__main__":
    main()

明显，把scheduler放进子线程实现，可避免对主线程的阻塞。

另外，可以通过setDaemon(True) 把线程设置为后台进程，例如：

    t3=threading.Thread(target=task3)
    t3.setDaemon(True)#设置为后台线程，这里默认是False，设置为True之后则主线程不用等待子线程.
    t3.start()