[英]How can I use asyncore with the multiprocessing IPC module in Python 3?
[英]Elegant solution for IPC in python with multiprocessing
我在需要 IPC 的同一台机器上有两个独立的进程。 截至目前,我有这个工作解决方案:
服务器.py
#!/usr/bin/python3
from multiprocessing.managers import BaseManager
from multiprocessing import Process, Queue
def do_whatever():
print('function do whatever, triggered by xyz')
# do something
def start_queue_server(q):
class QueueManager(BaseManager): pass
QueueManager.register('get_queue', callable=lambda:q)
m = QueueManager(address=('', 55555), authkey=b'tuktuktuk')
s = m.get_server()
s.serve_forever()
def main():
queue = Queue()
proc = Process(target=start_queue_server, args=(queue,))
proc.start()
while True:
command = queue.get()
print('command from queue:', command)
if command == 'xyz':
do_whatever()
# many more if, elif, else statements
if __name__ == "__main__":
main()
客户端.py
#!/usr/bin/python3
from multiprocessing.managers import BaseManager
def communicator(command):
class QueueManager(BaseManager): pass
QueueManager.register('get_queue')
m = QueueManager(address=('', 55555), authkey=b'tuktuktuk')
m.connect()
queue = m.get_queue()
queue.put(command)
def main():
command = ('xyz')
communicator(command)
if __name__ == "__main__":
main()
我阅读了 python 文档,但找不到更多不相关进程的选项。 欢迎提供意见! 欢呼声
最后,我选择了一个额外的 Listener
服务器.py
#!/usr/bin/python3
from multiprocessing.managers import BaseManager
from multiprocessing import Process, Queue
from multiprocessing.connection import Client
def do_whatever():
print('function do whatever, triggered by xyz')
# do something
def start_queue_server(q):
class QueueManager(BaseManager): pass
QueueManager.register('get_queue', callable=lambda:q)
m = QueueManager(address=('', 55555), authkey=b'tuktuktuk')
s = m.get_server()
s.serve_forever()
def talkback(msg, port):
conn = Client(address=('', port), authkey=b'tuktuktuk')
conn.send(msg)
conn.close()
def main():
queue = Queue()
proc = Process(target=start_queue_server, args=(queue,))
proc.start()
while True:
command = queue.get()
print('command from queue:', command)
if command[0] == 'xyz':
do_whatever()
talkback('aaa', command[1])
# many more if, elif, else statements
if __name__ == "__main__":
main()
客户端.py
#!/usr/bin/python3
from multiprocessing.managers import BaseManager
from multiprocessing.connection import Listener
def communicator(command, talkback=False):
if talkback:
listener = Listener(address=('', 0), authkey=b'prusaprinter')
return_port = listener.address[1]
command = command + (return_port,)
class QueueManager(BaseManager): pass
QueueManager.register('get_queue')
m = QueueManager(address=('', 55555), authkey=b'tuktuktuk')
m.connect()
queue = m.get_queue()
queue.put(command)
if talkback:
conn = listener.accept()
server_return = conn.recv()
conn.close()
listener.close()
return server_return
def main():
command = ('xyz')
communicator(command, True)
if __name__ == "__main__":
main()
客户端打开一个可用端口并开始监听它。 然后它将命令连同上述端口号一起发送到服务器。 服务器执行命令,然后使用端口号向客户端报告。 收到应答后,客户端关闭端口。
我在需要 IPC 的同一台机器上有两个独立的进程。 截至目前,我有这个工作解决方案:
服务器.py
#!/usr/bin/python3
from multiprocessing.managers import BaseManager
from multiprocessing import Process, Queue
def do_whatever():
print('function do whatever, triggered by xyz')
# do something
def start_queue_server(q):
class QueueManager(BaseManager): pass
QueueManager.register('get_queue', callable=lambda:q)
m = QueueManager(address=('', 55555), authkey=b'tuktuktuk')
s = m.get_server()
s.serve_forever()
def main():
queue = Queue()
proc = Process(target=start_queue_server, args=(queue,))
proc.start()
while True:
command = queue.get()
print('command from queue:', command)
if command == 'xyz':
do_whatever()
# many more if, elif, else statements
if __name__ == "__main__":
main()
客户端.py
#!/usr/bin/python3
from multiprocessing.managers import BaseManager
def communicator(command):
class QueueManager(BaseManager): pass
QueueManager.register('get_queue')
m = QueueManager(address=('', 55555), authkey=b'tuktuktuk')
m.connect()
queue = m.get_queue()
queue.put(command)
def main():
command = ('xyz')
communicator(command)
if __name__ == "__main__":
main()
我阅读了 python 文档,但找不到更多不相关进程的选项。 欢迎输入! 干杯singultus
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