Implement Per-Function Maximum Number of Concurrent Calls to Python XML-RPC Server

Question

I have a Python-based SimpleXMLRPCServer similar to this:

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

I want to implement a method to keep track of how many concurrent processes are currently being executed for tester1 and tester2, and if more than a maximum (user-defined) number of them are still executing, then queue each new request and execute when the number drops below the threshold.

Maybe a shared Pool for each function?

score 0 · Accepted Answer · answered Mar 12 '20 at 21:06

The following seems to do what I was asking for:

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

Hey I'm working on something similar. Do you know how to use multiprocessing on SimpleXMLRPCServer? Like I tried to do mp.Process(target=server_forever) but it won't let me. — Nathan, Oct 16 '22 at 00:37

Implement Per-Function Maximum Number of Concurrent Calls to Python XML-RPC Server

1 Answers1