使用setDaemon(True)启动子线程。

def bootstrap(_filename):
    mb = ModelBootstrap(filename=_filename) # Has many Daemon threads. All get stopped automatically when main thread is stopped.

t = threading.Thread(target=bootstrap,args=('models.conf',))
t.setDaemon(False)

while True:
    t.start()
    time.sleep(10) # I am just allowing the sub-thread to run for 10 sec. You can listen on an event to stop execution.
    print('Thread stopped')
    break

可以通过在将退出线程的线程中安装trace来终止线程。请参阅所附的链接，了解一种可能的实现。

在Python中杀死一个线程

如果您试图终止整个程序，您可以将线程设置为“守护进程”。看到 Thread.daemon

如果您显式地调用time.sleep()作为线程的一部分(比如轮询一些外部服务)，对Phillipe方法的改进是在sleep()的任何地方使用事件的wait()方法中的超时。

例如:

import threading

class KillableThread(threading.Thread):
    def __init__(self, sleep_interval=1):
        super().__init__()
        self._kill = threading.Event()
        self._interval = sleep_interval

    def run(self):
        while True:
            print("Do Something")

            # If no kill signal is set, sleep for the interval,
            # If kill signal comes in while sleeping, immediately
            #  wake up and handle
            is_killed = self._kill.wait(self._interval)
            if is_killed:
                break

        print("Killing Thread")

    def kill(self):
        self._kill.set()

然后运行它

t = KillableThread(sleep_interval=5)
t.start()
# Every 5 seconds it prints:
#: Do Something
t.kill()
#: Killing Thread

使用wait()而不是sleep()ing和定期检查事件的优点是，您可以在更长的睡眠间隔中编程，线程几乎立即停止(否则您将处于sleep()ing)，并且在我看来，处理退出的代码明显更简单。

实现一个线程是绝对可能的。方法，如下例代码所示:

import sys
import threading
import time


class StopThread(StopIteration):
    pass

threading.SystemExit = SystemExit, StopThread


class Thread2(threading.Thread):

    def stop(self):
        self.__stop = True

    def _bootstrap(self):
        if threading._trace_hook is not None:
            raise ValueError('Cannot run thread with tracing!')
        self.__stop = False
        sys.settrace(self.__trace)
        super()._bootstrap()

    def __trace(self, frame, event, arg):
        if self.__stop:
            raise StopThread()
        return self.__trace


class Thread3(threading.Thread):

    def _bootstrap(self, stop_thread=False):
        def stop():
            nonlocal stop_thread
            stop_thread = True
        self.stop = stop

        def tracer(*_):
            if stop_thread:
                raise StopThread()
            return tracer
        sys.settrace(tracer)
        super()._bootstrap()

###############################################################################


def main():
    test1 = Thread2(target=printer)
    test1.start()
    time.sleep(1)
    test1.stop()
    test1.join()
    test2 = Thread2(target=speed_test)
    test2.start()
    time.sleep(1)
    test2.stop()
    test2.join()
    test3 = Thread3(target=speed_test)
    test3.start()
    time.sleep(1)
    test3.stop()
    test3.join()


def printer():
    while True:
        print(time.time() % 1)
        time.sleep(0.1)


def speed_test(count=0):
    try:
        while True:
            count += 1
    except StopThread:
        print('Count =', count)

if __name__ == '__main__':
    main()

Thread3类运行代码的速度似乎比Thread2类快大约33%。

这是一个糟糕的答案，请看评论

以下是如何做到这一点:

from threading import *

...

for thread in enumerate():
    if thread.isAlive():
        try:
            thread._Thread__stop()
        except:
            print(str(thread.getName()) + ' could not be terminated'))

给它几秒钟，然后你的线程应该停止。还要检查thread._Thread__delete()方法。

为了方便，我建议使用thread.quit()方法。例如，如果你的线程中有一个套接字，我建议在你的套接字句柄类中创建一个quit()方法，终止套接字，然后在你的quit()中运行一个thread. _thread__stop()。