为什么我的多进程队列看起来不是线程安全的？

Question

我正在构建一个运行另一个Python程序的监视程序计时器，如果它无法从任何线程中找到签入，则关闭整个程序。这样，它最终将能够控制所需的通信端口。计时器的代码如下：

from multiprocessing import Process, Queue
from time import sleep
from copy import deepcopy

PATH_TO_FILE = r'.	est_program.py'
WATCHDOG_TIMEOUT = 2

class Watchdog:

    def __init__(self, filepath, timeout):
        self.filepath = filepath
        self.timeout = timeout
        self.threadIdQ = Queue()
        self.knownThreads = {}

    def start(self):
        threadIdQ = self.threadIdQ

        process = Process(target = self._executeFile)
        process.start()
        try:
            while True:
                unaccountedThreads = deepcopy(self.knownThreads)

                # Empty queue since last wake. Add new thread IDs to knownThreads, and account for all known thread IDs
                # in queue
                while not threadIdQ.empty():
                    threadId = threadIdQ.get()
                    if threadId in self.knownThreads:
                        unaccountedThreads.pop(threadId, None)
                    else:
                        print('New threadId < {} > discovered'.format(threadId))
                        self.knownThreads[threadId] = False

                # If there is a known thread that is unaccounted for, then it has either hung or crashed.
                # Shut everything down.
                if len(unaccountedThreads) > 0:
                    print('The following threads are unaccounted for:
')
                    for threadId in unaccountedThreads:
                        print(threadId)
                    print('
Shutting down!!!')
                    break
                else:
                    print('No unaccounted threads...')

                sleep(self.timeout)

        # Account for any exceptions thrown in the watchdog timer itself
        except:
            process.terminate()
            raise

        process.terminate()


    def _executeFile(self):
        with open(self.filepath, 'r') as f:
            exec(f.read(), {'wdQueue' : self.threadIdQ})

if __name__ == '__main__':
    wd = Watchdog(PATH_TO_FILE, WATCHDOG_TIMEOUT)
    wd.start()

我还有一个小程序来测试看门狗功能

from time import sleep
from threading import Thread
from queue import SimpleQueue

Q_TO_Q_DELAY = 0.013

class QToQ:

    def __init__(self, processQueue, threadQueue):
        self.processQueue = processQueue
        self.threadQueue = threadQueue
        Thread(name='queueToQueue', target=self._run).start()

    def _run(self):
        pQ = self.processQueue
        tQ = self.threadQueue
        while True:
            while not tQ.empty():
                sleep(Q_TO_Q_DELAY)
                pQ.put(tQ.get())

def fastThread(q):
    while True:
        print('Fast thread, checking in!')
        q.put('fastID')
        sleep(0.5)

def slowThread(q):
    while True:
        print('Slow thread, checking in...')
        q.put('slowID')
        sleep(1.5)

def hangThread(q):
    print('Hanging thread, checked in')
    q.put('hangID')
    while True:
        pass

print('Hello! I am a program that spawns threads!

')

threadQ = SimpleQueue()

Thread(name='fastThread', target=fastThread, args=(threadQ,)).start()
Thread(name='slowThread', target=slowThread, args=(threadQ,)).start()
Thread(name='hangThread', target=hangThread, args=(threadQ,)).start()

QToQ(wdQueue, threadQ)

正如您所看到的，我需要将线程放入queue.Queue，而单独的对象会慢慢将queue.Queue的输出提供给多处理队列。相反，如果我将线程直接放入多处理队列中，或者在put之间没有QToQ对象休眠，则多处理队列将锁定，并且在看门狗端看起来总是为空。

现在，由于多处理队列应该是线程和进程安全的，我只能假设我在实现中搞砸了一些东西。我的解决方案似乎有效，但也觉得hacky足够我觉得我应该解决它。

我正在使用Python 3.7.2，如果重要的话。