Python-多线程套接字

Question

根据我的理解，python 一次只能运行 1 个线程，所以如果我要做这样的事情

import socket, select
from threading import Thread
import config

class Source(Thread):
    def __init__(self):
        self._wait = False
        self._host = (config.HOST, config.PORT + 1)
        self._socket = socket.socket()
        self._socket.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1)
        self._sock = None
        self._connections = []
        self._mount = "None"
        self._writers = []
        self._createServer()
        Thread.__init__(self)

    def _createServer(self):
        self._socket.bind(self._host)
        self._socket.listen(2)
        self._connections.append(self._socket)
        self._audioPackets=[]

    def _addPacket(self, packet):
        self._audioPackets.append(packet)

    def _removePacket(self, packet):
        self._audioPackets.remove(packet)

    def _getPacket(self):
        if len(self._audioPackets) > 0:
            return self._audioPackets[0]
        else:
            return None

    def _sendOK(self, sock):
        sock.send("OK")

    def _sendDenied(self, sock):
        sock.send("DENIED")

    def _sendMount(self, sock):
        sock.send("mount:{0}".format(self._mount))

    def _sendBufPacket(self, sock, packet):
        packet = "buffer:%s" % packet
        sock.send(packet)

    def recv(self, sock, data):
        data = data.split(":", 1)
        if data[0] == "WAIT": self._wait = True
        elif data[0] == "STOP_WAITING": self._wait = False
        elif data[0] == "LOGIN":
            if data[1] == config.SOURCE_AUTH:
                self._source = sock
                self._sendOK(sock)
            else:
                self._sendClose(sock)
        elif data[0] == "MOUNT":
            if self._source == sock:
                self._mount = data[1]
            else:
                self._sendClose(sock)

        elif data[0] == "CLIENT":
            self._sendMount(sock)
            self._writers.append(sock)


    def _sendCloseAll(self):
        for sock in self._connections:
            sock.send("CLOSE")
            sock.close()

    def _sendClose(self, sock):
        sock.send("CLOSE")
        sock.close()

    def main(self):
        while True:
            rl, wl, xl = select.select(self._connections, self._writers, [], 0.2)
            for sock in rl:
                if sock == self._socket:
                    con, ip = sock.accept()
                    self._connections.append(con)
                else:
                    data = sock.recv(config.BUFFER)
                    if data:
                        self.recv(sock, data)
                    else:
                        if sock in self._writers:
                            self._writers.remove(sock)
                        if sock in self._connections:
                            self._connections.remove(sock)
            for sock in wl:
                packet = self._getPacket()
                if packet != None:
                    self._sendBufPacket(sock, packet)

    def run(self):
        self.main()

class writeThread(Thread):
      def __init__(self):
          self.running = False

      def make(self, client):
          self.client = client
          self.running = True

      def run(self):
          host = (config.HOST, config.PORT+1)
          sock = socket.socket()
          sock.connect(host)
          sock.send("CLIENT")
          sock.send("MOUNT:mountpoint")
          while self.running:
              data = sock.recv(config.BUFFER)
              if data:
                  data = data.split(":", 1)
                  if data[0] == "buffer":
                     self.client.send(data[1])
                  elif data[0] == "CLOSE":
                       self.client.close()
                       break


if __name__=="__main__":
    source = Source()
    source.start()
    webserver = WebServer()
    webserver.runloop()

如果我需要构建网络服务器部分我会的。但是，我会解释一下。 好的，基本上，当有人在设置的挂载点下连接到网络服务器时，他们将获得自己的个人线程，然后从 Source() 获取数据并将其发送给他们。现在假设另一个人连接到挂载点，最后一个客户端以及源仍在运行。考虑到有两个事件线程，新客户端是否会被阻止获取源数据？

Answer 1

根据您提出的问题，您对 Python 中线程如何工作的理解似乎是不正确的。如果使用正确，线程将不会阻塞:您可以使用 Python 实例化多个线程。限制在于，由于 Global Interpreter Lock (GIL)，您无法获得线程编程中预期的完全并行性(例如同时执行，从而减少运行时间)。 在您的情况下将会发生的是，两个线程总共花费的时间与顺序执行所花费的时间相同(尽管这在实践中不一定会发生)。