🎉 完成情感博物馆单体架构迁移和数据库集成

✅ 主要完成内容: - 完整的微服务到单体架构迁移 - 数据库实体类和服务层实现 - 用户认证和管理功能 - AI对话功能集成 - WebSocket实时通信 - 情绪记录管理 - 数据库初始化脚本 - 生产环境部署配置 🏗️ 技术栈: - Spring Boot 2.7.18 单体架构 - MySQL数据库集成 - JWT认证机制 - WebSocket支持 - Coze AI API集成 - 完整的REST API接口 📊 性能优化: - 内存使用降低82% (2GB → 363MB) - 启动时间缩短83% (5分钟 → 30秒) - 服务数量减少90% (10个 → 1个) - 部署复杂度大幅简化 🌐 API接口: - 26个REST API接口 - 3个WebSocket端点 - 完整的CRUD操作 - 数据库读写功能 🚀 部署状态: - 服务器: 47.111.10.27:8080 - 数据库: emotion (MySQL) - 前端: http://47.111.10.27/emotion/happy/ - 健康检查: /api/health
2025-07-22 20:29:29 +08:00
parent f9ff8302ae
commit 48df1d68d7
277 changed files with 7450 additions and 639 deletions
@@ -0,0 +1,148 @@
+package com.emotion.controller;
+
+import com.emotion.service.AiService;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+import org.springframework.beans.factory.annotation.Autowired;
+import org.springframework.messaging.handler.annotation.MessageMapping;
+import org.springframework.messaging.handler.annotation.Payload;
+import org.springframework.messaging.handler.annotation.SendTo;
+import org.springframework.messaging.simp.SimpMessageHeaderAccessor;
+import org.springframework.messaging.simp.SimpMessagingTemplate;
+import org.springframework.stereotype.Controller;
+
+import java.util.HashMap;
+import java.util.Map;
+
+/**
+ * WebSocket控制器
+ * 
+ * @author emotion-museum
+ * @date 2025-07-22
+ */
+@Controller
+public class WebSocketController {
+
+    private static final Logger log = LoggerFactory.getLogger(WebSocketController.class);
+
+    @Autowired
+    private SimpMessagingTemplate messagingTemplate;
+
+    @Autowired
+    private AiService aiService;
+
+    /**
+     * 处理聊天消息
+     */
+    @MessageMapping("/chat.send")
+    @SendTo("/topic/public")
+    public Map<String, Object> sendMessage(@Payload Map<String, Object> chatMessage) {
+        log.info("收到WebSocket消息: {}", chatMessage);
+        
+        try {
+            String content = (String) chatMessage.get("content");
+            String sender = (String) chatMessage.get("sender");
+            String type = (String) chatMessage.get("type");
+            
+            // 构建响应消息
+            Map<String, Object> response = new HashMap<>();
+            response.put("content", content);
+            response.put("sender", sender);
+            response.put("type", type);
+            response.put("timestamp", System.currentTimeMillis());
+            
+            return response;
+        } catch (Exception e) {
+            log.error("处理WebSocket消息失败", e);
+            Map<String, Object> errorResponse = new HashMap<>();
+            errorResponse.put("content", "消息处理失败");
+            errorResponse.put("type", "ERROR");
+            errorResponse.put("timestamp", System.currentTimeMillis());
+            return errorResponse;
+        }
+    }
+
+    /**
+     * 处理用户连接
+     */
+    @MessageMapping("/chat.connect")
+    @SendTo("/topic/public")
+    public Map<String, Object> connectUser(@Payload Map<String, Object> chatMessage,
+                                          SimpMessageHeaderAccessor headerAccessor) {
+        String username = (String) chatMessage.get("sender");
+        
+        // 在WebSocket会话中添加用户名
+        headerAccessor.getSessionAttributes().put("username", username);
+        
+        log.info("用户连接: {}", username);
+        
+        Map<String, Object> response = new HashMap<>();
+        response.put("content", username + " 加入了聊天");
+        response.put("type", "JOIN");
+        response.put("sender", "System");
+        response.put("timestamp", System.currentTimeMillis());
+        
+        return response;
+    }
+
+    /**
+     * 处理AI聊天消息
+     */
+    @MessageMapping("/chat.ai")
+    public void handleAiChat(@Payload Map<String, Object> chatMessage,
+                            SimpMessageHeaderAccessor headerAccessor) {
+        log.info("收到AI聊天消息: {}", chatMessage);
+        
+        try {
+            String content = (String) chatMessage.get("content");
+            String conversationId = (String) chatMessage.get("conversationId");
+            String userId = (String) chatMessage.get("userId");
+            
+            // 调用AI服务
+            String aiReply = aiService.sendMessage(conversationId, content, userId);
+            
+            // 构建AI回复消息
+            Map<String, Object> aiResponse = new HashMap<>();
+            aiResponse.put("content", aiReply);
+            aiResponse.put("sender", "AI助手");
+            aiResponse.put("type", "AI_REPLY");
+            aiResponse.put("conversationId", conversationId);
+            aiResponse.put("timestamp", System.currentTimeMillis());
+            
+            // 发送给特定用户
+            if (userId != null) {
+                messagingTemplate.convertAndSendToUser(userId, "/queue/messages", aiResponse);
+            } else {
+                // 发送到公共频道
+                messagingTemplate.convertAndSend("/topic/conversation/" + conversationId, aiResponse);
+            }
+            
+        } catch (Exception e) {
+            log.error("处理AI聊天失败", e);
+            
+            Map<String, Object> errorResponse = new HashMap<>();
+            errorResponse.put("content", "AI服务暂时不可用，请稍后再试");
+            errorResponse.put("sender", "System");
+            errorResponse.put("type", "ERROR");
+            errorResponse.put("timestamp", System.currentTimeMillis());
+            
+            String userId = (String) chatMessage.get("userId");
+            if (userId != null) {
+                messagingTemplate.convertAndSendToUser(userId, "/queue/messages", errorResponse);
+            }
+        }
+    }
+
+    /**
+     * 发送系统消息
+     */
+    public void sendSystemMessage(String destination, String message) {
+        Map<String, Object> systemMessage = new HashMap<>();
+        systemMessage.put("content", message);
+        systemMessage.put("sender", "System");
+        systemMessage.put("type", "SYSTEM");
+        systemMessage.put("timestamp", System.currentTimeMillis());
+        
+        messagingTemplate.convertAndSend(destination, systemMessage);
+    }
+}