实现对 Python XML-RPC 服务器的每个函数的最大并发调用数答案

【问题标题】：Implement Per-Function Maximum Number of Concurrent Calls to Python XML-RPC Server实现对 Python XML-RPC 服务器的每个函数的最大并发调用数
【发布时间】：2020-06-16 01:09:33
【问题描述】：

我有一个基于 Python 的 SimpleXMLRPCServer，类似于：

from multiprocessing import Process
from SimpleXMLRPCServer import SimpleXMLRPCServer
from SimpleXMLRPCServer import SimpleXMLRPCRequestHandler
import SocketServer

class RPCThreading(SocketServer.ThreadingMixIn, SimpleXMLRPCServer):
    pass


# Restrict to a particular path.
class RequestHandler(SimpleXMLRPCRequestHandler):
    rpc_paths = ('/RPC2',)


def main():
    server = RPCThreading(('127.0.0.1', 8000), requestHandler=RequestHandler)
    server.register_function(tester1)
    server.register_function(tester2)

    print("Server running...")
    server.serve_forever()


def tester1(id):
    p = Process(target=my_func1, args=(id,))
    p.start()

    return True

def tester2(id):
    p = Process(target=my_func2, args=(id,))
    p.start()

    return True

我想实现一种方法来跟踪当前正在为 tester1 和 tester2 执行的并发进程数量，如果它们仍在执行的数量超过最大（用户定义的）数量，则排队每个新请求并在数量低于阈值时执行。

也许每个函数都有一个共享的Pool？

【问题讨论】：

标签： python multithreading python-multithreading xml-rpc simplexmlrpcserver

【解决方案1】：

以下似乎符合我的要求：

from multiprocessing import Process, JoinableQueue
from SimpleXMLRPCServer import SimpleXMLRPCServer
from SimpleXMLRPCServer import SimpleXMLRPCRequestHandler
import SocketServer
import threading

tester1_queue = JoinableQueue()
tester2_queue = JoinableQueue()
tester1_max_concurrent = 10
tester2_max_concurrent = 10

class RPCThreading(SocketServer.ThreadingMixIn, SimpleXMLRPCServer):
    pass


# Restrict to a particular path.
class RequestHandler(SimpleXMLRPCRequestHandler):
    rpc_paths = ('/RPC2',)


def main():
    # spin up tester1 queue watcher threads
    for i in range(tester1_max_concurrent):
        worker = threading.Thread(target=tester1_queue_watcher, args=(tester1_queue,))
        worker.daemon = True
        worker.start()

    # spin up tester2 queue watcher threads
    for i in range(tester2_max_concurrent):
        worker = threading.Thread(target=tester2_queue_watcher, args=(tester2_queue,))
        worker.daemon = True
        worker.start()

    server = RPCThreading(('127.0.0.1', 8000), requestHandler=RequestHandler)
    server.register_function(tester1_handler, 'tester1')
    server.register_function(tester2_handler, 'tester2' )

    print("Server running...")
    server.serve_forever()

def tester1_handler(id):
    tester1_queue.put((id,))
    return True

def tester1_queue_watcher(q):
    while True:
        id = q.get()
        p = Process(target=tester1, args=(id,))
        p.start()
        p.join()
        q.task_done()

def tester1(id):
    # do stuff

def tester2_handler(id):
    tester2_queue.put((id,))
    return True

def tester2_queue_watcher(q):
    while True:
        id = q.get()
        p = Process(target=tester2, args=(id,))
        p.start()
        p.join()
        q.task_done()

def tester2(id):
    # do stuff

【讨论】：