feat: 完善后端架构和service层实现

- 创建完整的entity实体类体系，包括所有业务实体 - 实现BaseEntity基类，统一管理公共字段 - 创建雪花算法ID生成器和自动填充处理器 - 简化所有mapper接口，只继承BaseMapper - 重构service层，使用LambdaQueryWrapper进行数据库操作 - 创建BasePageRequest分页查询基类 - 完善用户上下文管理和JWT认证 - 新增WebSocket聊天功能和相关控制器 - 更新前端配置和组件，完善用户认证流程 - 同步数据库建表脚本
2025-07-24 00:37:23 +08:00
parent 645036fcd2
commit 880e0e3c88
87 changed files with 8114 additions and 1106 deletions
@@ -0,0 +1,162 @@
+package com.emotion.controller;
+
+import com.emotion.common.Result;
+import com.emotion.service.IAiService;
+import com.emotion.service.IMessageService;
+import com.emotion.service.IConversationService;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.beans.factory.annotation.Autowired;
+import org.springframework.web.bind.annotation.*;
+
+import java.util.HashMap;
+import java.util.Map;
+
+/**
+ * AI聊天控制器
+ * 
+ * @author emotion-museum
+ * @date 2025-07-23
+ */
+@Slf4j
+@RestController
+@RequestMapping("/api/ai")
+public class AiChatController {
+    
+    @Autowired
+    private IAiService aiService;
+    
+    @Autowired
+    private IMessageService messageService;
+    
+    @Autowired
+    private IConversationService conversationService;
+    
+    /**
+     * 发送聊天消息
+     */
+    @PostMapping("/chat")
+    public Result<Map<String, Object>> sendChatMessage(@RequestBody Map<String, String> request) {
+        try {
+            String conversationId = request.get("conversationId");
+            String message = request.get("message");
+            String userId = request.get("userId");
+            
+            if (message == null || message.trim().isEmpty()) {
+                return Result.error("消息内容不能为空");
+            }
+            
+            if (userId == null || userId.trim().isEmpty()) {
+                userId = "guest_" + System.currentTimeMillis();
+            }
+            
+            log.info("收到AI聊天请求: conversationId={}, userId={}, message={}", 
+                    conversationId, userId, message);
+            
+            // 调用AI服务
+            String aiReply = aiService.sendChatMessage(conversationId, message, userId);
+            
+            Map<String, Object> response = new HashMap<>();
+            response.put("conversationId", conversationId);
+            response.put("userMessage", message);
+            response.put("aiReply", aiReply);
+            response.put("userId", userId);
+            response.put("timestamp", System.currentTimeMillis());
+            
+            return Result.success(response);
+            
+        } catch (Exception e) {
+            log.error("AI聊天请求处理失败", e);
+            return Result.error("AI聊天服务暂时不可用，请稍后再试");
+        }
+    }
+    
+    /**
+     * 生成对话总结
+     */
+    @PostMapping("/summary")
+    public Result<Map<String, Object>> generateSummary(@RequestBody Map<String, String> request) {
+        try {
+            String conversationId = request.get("conversationId");
+            String userId = request.get("userId");
+            
+            if (conversationId == null || conversationId.trim().isEmpty()) {
+                return Result.error("会话ID不能为空");
+            }
+            
+            if (userId == null || userId.trim().isEmpty()) {
+                userId = "guest_" + System.currentTimeMillis();
+            }
+            
+            log.info("收到对话总结请求: conversationId={}, userId={}", conversationId, userId);
+            
+            // 调用AI总结服务
+            String summary = aiService.generateConversationSummary(conversationId, userId);
+            
+            Map<String, Object> response = new HashMap<>();
+            response.put("conversationId", conversationId);
+            response.put("summary", summary);
+            response.put("userId", userId);
+            response.put("timestamp", System.currentTimeMillis());
+            
+            return Result.success(response);
+            
+        } catch (Exception e) {
+            log.error("对话总结请求处理失败", e);
+            return Result.error("对话总结服务暂时不可用，请稍后再试");
+        }
+    }
+    
+    /**
+     * 获取AI服务状态
+     */
+    @GetMapping("/status")
+    public Result<Map<String, Object>> getServiceStatus() {
+        try {
+            boolean available = aiService.isServiceAvailable();
+            String status = aiService.getServiceStatus();
+            
+            Map<String, Object> response = new HashMap<>();
+            response.put("available", available);
+            response.put("status", status);
+            response.put("timestamp", System.currentTimeMillis());
+            
+            return Result.success(response);
+            
+        } catch (Exception e) {
+            log.error("获取AI服务状态失败", e);
+            return Result.error("无法获取AI服务状态");
+        }
+    }
+    
+    /**
+     * 获取聊天记录统计
+     */
+    @GetMapping("/stats")
+    public Result<Map<String, Object>> getChatStats(@RequestParam(required = false) String userId,
+                                                   @RequestParam(required = false) String conversationId) {
+        try {
+            Map<String, Object> stats = new HashMap<>();
+            
+            if (userId != null && !userId.trim().isEmpty()) {
+                Long userConversationCount = conversationService.countByUserId(userId);
+                Long activeConversationCount = conversationService.countActiveByUserId(userId);
+
+                stats.put("userConversationCount", userConversationCount);
+                stats.put("activeConversationCount", activeConversationCount);
+            }
+
+            if (conversationId != null && !conversationId.trim().isEmpty()) {
+                Long conversationMessageCount = messageService.countByConversationId(conversationId);
+                stats.put("conversationMessageCount", conversationMessageCount);
+            }
+            
+            stats.put("timestamp", System.currentTimeMillis());
+            
+            return Result.success(stats);
+            
+        } catch (Exception e) {
+            log.error("获取聊天统计失败", e);
+            return Result.error("无法获取聊天统计信息");
+        }
+    }
+}