目录
- 连接池实现
- 使用连接池
连接池实现
socket_pool.py
# -*- coding:utf-8 -*- import socket import time import threading import os import logging import traceback from queue import Queue, Empty _logger = logging.getLogger('mylogger') class SocketPool: def __init__(self, host, port, min_connections=10, max_connections=10): ''' 初始化Socket连接池 :param host: 目标主机地址 :param port: 目标端口号 :param min_connections: 最小连接数 :param max_connections: 最大连接数 ''' self.host = host self.port = port self.min_connections = min_connections self.max_connections = max_connections self.busy_sockets_dict = {} # 存放从连接池取出的socket的id self._sock_lock = threading.Lock() # 线程锁保证计数正确 self._pool = Queue(max_connections) # 基于线程安全的队列存储连接 self._lock = threading.Lock() # 线程锁保证资源安全: self._init_pool() # 预创建连接 self._start_health_check() # 启动连接健康检查线程 def _init_pool(self): '''预创建连接并填充到池中''' for _ in range(self.min_connections): sock = self._create_socket() self._pool.put(sock) def _create_socket(self): '''创建新的Socket连接''' sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM) try: sock.connect((self.host, self.port)) return sock except socket.error as e: raise ConnectionError(f'Failed to connect: {e}') # 连接失败抛出异常 def _start_health_check(self): '''启动后台线程定期检查连接有效性''' def check(): while True: with self._lock: for _ in range(self._pool.qsize()): sock = self._pool.get() self.busy_sockets_dict[sock] = 1 try: sock.send(b'PING<END>') # 发送心跳包验证连接状态 # 以下 11 为服务端返回数据字节长度,不能乱写,否则会导致获取非健康检查响应报文数据存在多余内容,不符合格式,从而导致数据解析问题 sock.recv(11) self._pool.put(sock) self.busy_sockets_dict.pop(sock) except (socket.error, ConnectionResetError): _logger.error('socket连接健康检查出错:%s, 关闭失效连接并创建新连接替换' % traceback.format_exc()) sock.close() # 关闭失效连接并创建新连接替换 self.busy_sockets_dict.pop(sock) new_sock = self._create_socket() UvPLvKl self._pool.put(new_sock) # 如果sock数量小于最小数量,则补充 for _ in range(0, self.min_connections - self._pool.qsize()): new_sock = self._create_socket() self._pool.put(new_sock) time.sleep(60) # 每60秒检查一次 threading.Thread(target=check, daemon=True).start() def get_connection(self): ''' 从池中获取一个可用连接 :return: socket对象 ''' with self._sock_lock: if self._pool.empty(): if len(self.busy_sockets_dict.keys()) < self.max_connections: new_sock = self._create_socket() self.busy_sockets_dict[new_sock] = 1 return new_sock php else: raise Empty('No available connections in pool') else: try: sock = self._pool.get(block=False) self.busy_sockets_dict[sock] = 1 return sock except Exception: _logger.error('获取socket连接出错:%s' % traceback.format_exc()) raise def release_connection(self, so编程客栈ck): ''' 将连接归还到池中 :param sock: 待归还的socket对象 ''' if not sock._closed: self._pool.put(sock) if sock in self.busy_sockets_dict: self.busy_sockets_dict.pop(sock) def close_all(self): '''关闭池中所有连接''' while not self._pool.empty(): sock = self._pool.get() sock.close() self.busy_sockets_dict.pop(sock.id) self.busy_sockets_dict = {} # 兜底 host = os.environ.get('MODBUS_TCP_SERVER_HOST', '127.0.0.1') port = int(os.environ.get('MODBUS_TCP_SERVER_PORT', '9000')) min_connections = int(os.environ.get('DJANGO_SOCKET_POOL_MAX_CONNECTIONS', '10')) max_connections = int(os.environ.get('DJANGO_SOCKET_POOL_MAX_CONNECTIONS', '100')) socketPool = SocketPool(host, port, min_connections, max_connections)
使用连接池
from socket_pool import socketPool def send_socket_msg(data): global socketPool try: sock = None # 获取连接(支持超时控制) sock = socketPool.get_connection() # 发送数据 sock.sendall(data.encode('utf-8')) except Exception: error_msg = '发送消息出错:%s' % traceback.format_exc() _logger.error(error_msg) if sock is not None: sojavascriptck.close() socketPool.release_connection(sock) return send_socket_msg(data) response = '' try: while True: chunk = sock.recv(4096) chunk = chunk.decode('utf-8') response += chunk if response.endswith('<END>'): response = response.rstrip('<END>') return {'success':True, 'message':response} except Exception: error_msg = '获取消息出错:%s' % traceback.format_exc() _logger.error(error_msg) return {'success':False, 'message': erUvPLvKlror_msg} finally: # 必须归还连接! socketPool.release_connection(sock)
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