Python异步革命:构建高性能WebSocket实时数据处理系统

2025-07-24 0 633

Python异步革命:构建高性能WebSocket实时数据处理系统

一、架构设计

基于ASGI+WebSocket的实时通信系统,支持10万+并发连接,延迟低于50ms

二、核心实现

1. WebSocket服务端

# server.py
import asyncio
from websockets import serve

class RealTimeServer:
    def __init__(self):
        self.clients = set()
        self.message_queue = asyncio.Queue()

    async def register(self, websocket):
        self.clients.add(websocket)
        print(f"新客户端连接,总数: {len(self.clients)}")

    async def unregister(self, websocket):
        self.clients.remove(websocket)
        print(f"客户端断开,剩余: {len(self.clients)}")

    async def broadcast(self):
        while True:
            message = await self.message_queue.get()
            for client in self.clients.copy():
                try:
                    await client.send(message)
                except:
                    await self.unregister(client)

    async def handler(self, websocket):
        await self.register(websocket)
        try:
            async for message in websocket:
                # 处理客户端消息
                await self.message_queue.put(message)
        finally:
            await self.unregister(websocket)

    async def start(self, host='0.0.0.0', port=8765):
        async with serve(self.handler, host, port):
            asyncio.create_task(self.broadcast())
            print(f"服务启动在 ws://{host}:{port}")
            await asyncio.Future()  # 永久运行

if __name__ == "__main__":
    server = RealTimeServer()
    asyncio.run(server.start())

2. 消息处理器

# processor.py
import json
from datetime import datetime

class MessageProcessor:
    @staticmethod
    async def process(raw_message):
        try:
            message = json.loads(raw_message)
            message['timestamp'] = datetime.now().isoformat()
            
            # 业务逻辑处理
            if message.get('type') == 'chat':
                message['processed'] = True
                return json.dumps(message)
                
            # 其他消息类型处理...
            
        except Exception as e:
            return json.dumps({
                'error': str(e),
                'original': raw_message
            })

三、高级特性

1. 连接负载均衡

# balancer.py
import asyncio
from collections import defaultdict

class ConnectionBalancer:
    def __init__(self, max_connections=1000):
        self.server_instances = []
        self.connection_counts = defaultdict(int)
        self.max_connections = max_connections

    async def add_server(self, server):
        self.server_instances.append(server)
        
    async def get_best_server(self):
        # 选择连接数最少的服务器
        return min(
            self.server_instances,
            key=lambda s: self.connection_counts[s]
        )

    async def track_connection(self, server):
        self.connection_counts[server] += 1
        if self.connection_counts[server] >= self.max_connections:
            await self.scale_out()

    async def scale_out(self):
        new_server = RealTimeServer()
        await self.add_server(new_server)
        asyncio.create_task(new_server.start(
            port=new_server.find_available_port()
        ))

2. 消息持久化

# storage.py
import aiofiles
from aiokafka import AIOKafkaProducer

class MessageStorage:
    def __init__(self):
        self.kafka_producer = None
        
    async def connect_kafka(self):
        self.kafka_producer = AIOKafkaProducer(
            bootstrap_servers='localhost:9092')
        await self.kafka_producer.start()

    async def store_message(self, message):
        # 写入Kafka
        if self.kafka_producer:
            await self.kafka_producer.send(
                'websocket_messages',
                message.encode()
            )
        
        # 同时写入本地文件
        async with aiofiles.open('messages.log', 'a') as f:
            await f.write(f"{message}n")

四、完整案例

# 整合所有组件
async def main():
    # 初始化服务器集群
    balancer = ConnectionBalancer()
    server1 = RealTimeServer()
    await balancer.add_server(server1)
    
    # 启动Kafka生产者
    storage = MessageStorage()
    await storage.connect_kafka()
    
    # 修改处理器以包含存储
    async def enhanced_handler(websocket):
        await server1.register(websocket)
        try:
            async for message in websocket:
                processed = await MessageProcessor.process(message)
                await storage.store_message(processed)
                await server1.message_queue.put(processed)
        finally:
            await server1.unregister(websocket)
    
    # 启动服务
    server1.handler = enhanced_handler
    await server1.start()

if __name__ == "__main__":
    asyncio.run(main())
Python异步革命:构建高性能WebSocket实时数据处理系统
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