基于UDP协议的聊天机器人Java实现

以下是一个基于UDP协议的简单聊天机器人Java实现示例：

服务端代码：

import java.io.*;
import java.net.*;

public class UDPServer {
    public static void main(String[] args) throws IOException {
        // 创建UDP套接字
        DatagramSocket serverSocket = new DatagramSocket(8888);
        
        System.out.println("启动UDP服务端...");
        
        while (true) {
            // 接收客户端发送的消息
            byte[] receiveData = new byte[1024];
            DatagramPacket receivePacket = new DatagramPacket(receiveData, receiveData.length);
            serverSocket.receive(receivePacket);
            String message = new String(receivePacket.getData());
            System.out.println("收到来自" + receivePacket.getAddress() + "的消息：" + message);
            
            // 回复消息
            byte[] replyData = "你好，我是机器人小Q。".getBytes();
            DatagramPacket replyPacket = new DatagramPacket(replyData, replyData.length, receivePacket.getAddress(), receivePacket.getPort());
            serverSocket.send(replyPacket);
        }
    }
}

客户端代码：

import java.io.*;
import java.net.*;

public class UDPClient {
    public static void main(String[] args) throws IOException {
        // 创建UDP套接字
        DatagramSocket clientSocket = new DatagramSocket();
        
        BufferedReader inFromUser = new BufferedReader(new InputStreamReader(System.in));
        
        while (true) {
            // 发送消息
            System.out.print("请输入消息：");
            String message = inFromUser.readLine();
            byte[] sendData = message.getBytes();
            DatagramPacket sendPacket = new DatagramPacket(sendData, sendData.length, InetAddress.getByName("localhost"), 8888);
            clientSocket.send(sendPacket);
            
            // 接收回复消息
            byte[] receiveData = new byte[1024];
            DatagramPacket receivePacket = new DatagramPacket(receiveData, receiveData.length);
            clientSocket.receive(receivePacket);
            String replyMessage = new String(receivePacket.getData());
            System.out.println("收到来自" + receivePacket.getAddress() + "的回复：" + replyMessage);
        }
    }
}

运行服务端代码后，再运行客户端代码即可开始聊天。注意，此处的聊天机器人并没有实现自然语言处理，只是简单地回复一句固定的话。如果需要实现更复杂的聊天机器人功能，可以使用一些开源的自然语言处理库，例如NLTK、SpaCy等。