优化调整

backend-single/src/main/java/com/emotion/service/impl/AiChatServiceImpl.java

@@ -24,6 +24,8 @@ import org.springframework.stereotype.Service;
 import org.springframework.web.client.RestTemplate;
 import org.springframework.web.context.request.RequestContextHolder;
 import org.springframework.web.context.request.ServletRequestAttributes;
+import org.springframework.scheduling.annotation.Async;
+import java.util.concurrent.CompletableFuture;
 
 import javax.servlet.http.HttpServletRequest;
 import java.math.BigDecimal;
@@ -34,6 +36,7 @@ import java.util.HashMap;
 import java.util.List;
 import java.util.Map;
 import java.util.UUID;
+import java.util.Arrays;
 
 /**
  * AI聊天服务实现类
@@ -1017,12 +1020,12 @@ public class AiChatServiceImpl implements AiChatService {
             String chatHistory = integrateChatHistory(todayMessages);
             log.info("聊天记录整合完成，总长度: {}", chatHistory.length());
 
-            // 构建情绪分析提示词
-            String emotionPrompt = buildEmotionAnalysisPrompt(chatHistory);
+            // Coze 中已经在工作流设置了提示词，目前不需要构建情绪分析提示词
+            // String emotionPrompt = buildEmotionAnalysisPrompt(chatHistory);
 
             // 调用Coze API进行情绪分析总结
             String conversationId = "emotion_summary_" + userId + "_" + today.format(DateTimeFormatter.ofPattern("yyyyMMdd"));
-            String emotionSummary = sendSummaryMessage(conversationId, emotionPrompt, userId);
+            String emotionSummary = sendSummaryMessage(conversationId, chatHistory, userId);
             log.info("情绪分析总结生成完成: {}", emotionSummary);
 
             // 解析AI返回的情绪分析结果
@@ -1049,6 +1052,13 @@ public class AiChatServiceImpl implements AiChatService {
         return result;
     }
 
+    @Override
+    @Async("taskExecutor")
+    public CompletableFuture<Map<String, Object>> generateEmotionSummaryAsync(String userId) {
+        Map<String, Object> result = generateEmotionSummary(userId);
+        return CompletableFuture.completedFuture(result);
+    }
+
     /**
      * 整合聊天记录
      */
@@ -1106,7 +1116,7 @@ public class AiChatServiceImpl implements AiChatService {
                 return EmotionAnalysis.builder()
                         .primaryEmotion(json.getString("primaryEmotion"))
                         .intensity(BigDecimal.valueOf(json.getDoubleValue("intensity")))
-                        .keywords(json.getString("triggers"))
+                        .keywords(JSON.toJSONString(Arrays.asList(json.getString("triggers"))))
                         .suggestion(json.getString("suggestions"))
                         .text(summary)
                         .polarity(determinePolarity(json.getString("primaryEmotion")))
@@ -1122,7 +1132,7 @@ public class AiChatServiceImpl implements AiChatService {
         return EmotionAnalysis.builder()
                 .primaryEmotion("平静")
                 .intensity(BigDecimal.valueOf(0.5))
-                .keywords("日常对话")
+                .keywords(JSON.toJSONString(Arrays.asList("日常对话")))
                 .suggestion("保持当前的积极状态")
                 .text(summary)
                 .polarity("neutral")
@@ -1192,7 +1202,7 @@ public class AiChatServiceImpl implements AiChatService {
                 .triggers(analysisResult.getKeywords())
                 .description(analysisResult.getText())
                 .notes("基于当天聊天记录自动生成的情绪分析")
-                .tags("AI分析,聊天记录,情绪总结")
+                .tags(JSON.toJSONString(Arrays.asList("AI分析", "聊天记录", "情绪总结")))
                 .build();
 
         emotionRecordService.save(record);