如何在不关闭任何这些连接的情况下处理来自多个客户端 sockets 的数据 stream？

Question

我有一个服务器，它接受来自客户端套接字的 JSON 数据的 stream 数据。 服务器需要永远保持所有连接打开并处理来自它们的数据，但我的代码的当前版本只能处理单个连接，因为一旦建立第一个连接，第二个 while 循环就永远不会结束。

import socket

IP = '127.0.0.1'
PORT = 1235
BUFFER = 10
server_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
server_socket.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1)
server_socket.bind((IP, PORT))
server_socket.listen(10)
print(f"Listening for incoming connections @ {IP}:{PORT}")


while True:
    client_socket, client_address = server_socket.accept()
    print(f"Established connection with {client_address}")
    while True:
        received_message = client_socket.recv(BUFFER).decode('utf-8')
        while '}' not in received_message:
            received_message += client_socket.recv(BUFFER).decode('utf-8')
        print(client_address, received_message)
        client_socket.send("Message received".encode('utf-8'))

Answer 1

能够通过实现线程来解决问题。 如果有人想使用它，这是工作代码。

import socket
from _thread import *

IP = '127.0.0.1'
PORT = 1235
BUFFER = 100
thread_count = 0
server_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
server_socket.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1)
server_socket.bind((IP, PORT))
server_socket.listen(10)


def threaded_client(client_socket, address):
    while True:
        received_message = client_socket.recv(BUFFER).decode('utf-8')
        while '}' not in received_message:
            received_message += client_socket.recv(BUFFER).decode('utf-8')
        print(client_address, received_message)
        client_socket.send("Message received.".encode('utf-8'))


while True:
    client_socket, client_address = server_socket.accept()
    print(f"Established connection with {client_address}")
    start_new_thread(threaded_client, (client_socket, client_address))
    thread_count += 1
    print(thread_count)

Answer 2

您面临的主要问题是几乎所有 python 的 IO 都是阻塞的。 这意味着当您想要读取或写入文件或在这种情况下写入套接字时，程序的执行将停止。 标准解决方案是通过threading -library 使用线程，但还有许多其他选项。

我建议观看David Beazley 的关于并发的视频，它很好地涵盖了这个主题，它可能会有点复杂，但那是因为它很快就涵盖了很多领域！