Multithreading 限制在后台线程中使用信号量同时运行异步IO协同路由
作为Python新的asyncio模块的一个实验,我创建了以下代码段来处理后台工作程序中的一组长时间运行的操作(作业) 为了控制同时运行的作业的数量,我在with块中引入了一个信号量(第56行)。然而,有了信号量,似乎获取的锁永远不会被释放,因为在完成后(回调被执行),等待的作业不会启动。当我用木块挖沟时,一切都按预期进行Multithreading 限制在后台线程中使用信号量同时运行异步IO协同路由,multithreading,semaphore,coroutine,event-loop,python-asyncio,Multithreading,Semaphore,Coroutine,Event Loop,Python Asyncio,作为Python新的asyncio模块的一个实验,我创建了以下代码段来处理后台工作程序中的一组长时间运行的操作(作业) 为了控制同时运行的作业的数量,我在with块中引入了一个信号量(第56行)。然而,有了信号量,似乎获取的锁永远不会被释放,因为在完成后(回调被执行),等待的作业不会启动。当我用木块挖沟时,一切都按预期进行 import asyncio from queue import Queue, Empty from datetime import datetime from threa
import asyncio
from queue import Queue, Empty
from datetime import datetime
from threading import Thread
class BackgroundWorker(Thread):
def __init__(self):
super().__init__()
self._keep_running = True
self._waiting_coros = Queue()
self._tasks = []
self._loop = None # Loop must be initialized in child thread.
self.limit_simultaneous_processes = asyncio.Semaphore(2)
def stop(self):
self._keep_running = False
def run(self):
self._loop = asyncio.new_event_loop() # Implicit creation of the loop only happens in the main thread.
asyncio.set_event_loop(self._loop) # Since this is a child thread, we need to do in manually.
self._loop.run_until_complete(self.process_coros())
def submit_coro(self, coro, callback=None):
self._waiting_coros.put((coro, callback))
@asyncio.coroutine
def process_coros(self):
while self._keep_running:
try:
while True:
coro, callback = self._waiting_coros.get_nowait()
task = asyncio.async(coro())
if callback:
task.add_done_callback(callback)
self._tasks.append(task)
except Empty as e:
pass
yield from asyncio.sleep(3) # sleep so the other tasks can run
background_worker = BackgroundWorker()
class Job(object):
def __init__(self, idx):
super().__init__()
self._idx = idx
def process(self):
background_worker.submit_coro(self._process, self._process_callback)
@asyncio.coroutine
def _process(self):
with (yield from background_worker.limit_simultaneous_processes):
print("received processing slot %d" % self._idx)
start = datetime.now()
yield from asyncio.sleep(2)
print("processing %d took %s" % (self._idx, str(datetime.now() - start)))
def _process_callback(self, future):
print("callback %d triggered" % self._idx)
def main():
print("starting worker...")
background_worker.start()
for idx in range(10):
download_job = Job(idx)
download_job.process()
command = None
while command != "quit":
command = input("enter 'quit' to stop the program: \n")
print("stopping...")
background_worker.stop()
background_worker.join()
if __name__ == '__main__':
main()
有人能帮我解释一下这种行为吗?为什么清除with块时信号量没有增加?我发现了错误:信号量是用主线程的隐式eventloop初始化的,而不是在线程以
run()启动时显式设置的
固定版本:
import asyncio
from queue import Queue, Empty
from datetime import datetime
from threading import Thread
class BackgroundWorker(Thread):
def __init__(self):
super().__init__()
self._keep_running = True
self._waiting_coros = Queue()
self._tasks = []
self._loop = None # Loop must be initialized in child thread.
self.limit_simultaneous_processes = None # Semaphore must be initialized after the loop is set.
def stop(self):
self._keep_running = False
def run(self):
self._loop = asyncio.new_event_loop() # Implicit creation of the loop only happens in the main thread.
asyncio.set_event_loop(self._loop) # Since this is a child thread, we need to do in manually.
self.limit_simultaneous_processes = asyncio.Semaphore(2)
self._loop.run_until_complete(self.process_coros())
def submit_coro(self, coro, callback=None):
self._waiting_coros.put((coro, callback))
@asyncio.coroutine
def process_coros(self):
while self._keep_running:
try:
while True:
coro, callback = self._waiting_coros.get_nowait()
task = asyncio.async(coro())
if callback:
task.add_done_callback(callback)
self._tasks.append(task)
except Empty as e:
pass
yield from asyncio.sleep(3) # sleep so the other tasks can run
background_worker = BackgroundWorker()
class Job(object):
def __init__(self, idx):
super().__init__()
self._idx = idx
def process(self):
background_worker.submit_coro(self._process, self._process_callback)
@asyncio.coroutine
def _process(self):
with (yield from background_worker.limit_simultaneous_processes):
print("received processing slot %d" % self._idx)
start = datetime.now()
yield from asyncio.sleep(2)
print("processing %d took %s" % (self._idx, str(datetime.now() - start)))
def _process_callback(self, future):
print("callback %d triggered" % self._idx)
def main():
print("starting worker...")
background_worker.start()
for idx in range(10):
download_job = Job(idx)
download_job.process()
command = None
while command != "quit":
command = input("enter 'quit' to stop the program: \n")
print("stopping...")
background_worker.stop()
background_worker.join()
if __name__ == '__main__':
main()
我看不出您的担忧:在您的代码示例中,信号量计数会如预期的那样减少和增加。您是否运行了代码?如果我这样做,前两个作业的回调将被执行,但循环中的其他协程不会开始执行。我假设他们仍在等待从信号量获取锁,但我可能错了。也许他们在等别的什么?