搭配生成 添加sessionId

src/main/java/com/aida/lanecarford/controller/ChatController.java

@@ -30,7 +30,7 @@ public class ChatController {
             @Parameter(description = "用户输入的消息内容", example = "你好，请介绍一下自己")
             @RequestParam(required = false) String message,
 
-            @Parameter(description = "会话ID", example = "123456", required = true)
+            @Parameter(description = "会话ID", example = "1740968404", required = true)
             @RequestParam Long sessionId,
 
             @Parameter(description = "性别", example = "male | female", required = true)

src/main/java/com/aida/lanecarford/dto/RequestOutfitDTO.java

@@ -52,4 +52,11 @@ public class RequestOutfitDTO {
     )
     private int num = 1;
 
+    @Schema(
+            description = "会话id",
+            example = "1740968404",
+            requiredMode = Schema.RequiredMode.REQUIRED
+    )
+    private String sessionId;
+
 }

src/main/java/com/aida/lanecarford/service/impl/ChatServiceImpl.java

@@ -30,11 +30,12 @@ public class ChatServiceImpl implements ChatService {
      */
     public SseEmitter streamChat(String message, Long sessionId, String gender) {
         SseEmitter emitter = new SseEmitter(0L);
+        Long userId = UserContext.getUserHolder().getId();
 
         CompletableFuture.runAsync(() -> {
             try {
                 // 连接第三方AI服务
-                processAIStream(message, sessionId.toString(), gender, emitter);
+                processAIStream(message, userId, sessionId.toString(), gender, emitter);
                 emitter.complete();
             } catch (Exception e) {
                 log.error("AI流式对话处理失败", e);
@@ -48,14 +49,14 @@ public class ChatServiceImpl implements ChatService {
     /**
      * 处理第三方AI服务的流式响应
      */
-    private void processAIStream(String message, String sessionId, String gender, SseEmitter emitter) {
+    private void processAIStream(String message, Long userId, String sessionId, String gender, SseEmitter emitter) {
         HttpURLConnection connection = null;
         try {
             // 1. 创建AI服务连接
             connection = createAIConnection();
 
             // 2. 发送请求到AI服务
-            sendToAI(connection, message, sessionId, gender);
+            sendToAI(connection, message, userId, sessionId, gender);
 
             // 3. 流式读取并转发响应
             streamAIResponse(connection, emitter, sessionId);
@@ -89,13 +90,12 @@ public class ChatServiceImpl implements ChatService {
     /**
      * 发送请求到AI服务
      */
-    private void sendToAI(HttpURLConnection connection, String message, String sessionId, String gender)
+    private void sendToAI(HttpURLConnection connection, String message, Long userId, String sessionId, String gender)
             throws IOException {
-        Long userId = UserContext.getUserHolder().getId();
         // 构建AI服务请求体
         JSONObject requestBody = new JSONObject();
         requestBody.put("user_message", message);
-        requestBody.put("user_id", userId);
+        requestBody.put("user_id", userId.toString());
         requestBody.put("session_id", sessionId);
         requestBody.put("gender", gender); // 启用流式输出
 

src/main/java/com/aida/lanecarford/service/impl/StyleServiceImpl.java

@@ -51,7 +51,8 @@ public class StyleServiceImpl extends ServiceImpl<StyleMapper, Style> implements
         // 请求需要顾客id, 生成的数量，风格
 
         StylistPathEnum stylistPathEnum = StylistPathEnum.of(requestOutfitDTO.getStylist());
-        Map<String, Object> params = setRequestOutfitParams(requestOutfitDTO.getCustomerId(), requestOutfitDTO.getNum(), stylistPathEnum.getPath(), requestOutfitDTO.getGender());
+        Map<String, Object> params = setRequestOutfitParams(requestOutfitDTO.getCustomerId(), requestOutfitDTO.getNum(),
+                stylistPathEnum.getPath(), requestOutfitDTO.getGender(), requestOutfitDTO.getSessionId());
 
         OutfitRequest outfitRequest = new OutfitRequest();
         outfitRequest.setCustomerId(requestOutfitDTO.getCustomerId());
@@ -60,6 +61,7 @@ public class StyleServiceImpl extends ServiceImpl<StyleMapper, Style> implements
         outfitRequest.setGender(requestOutfitDTO.getGender());
         outfitRequestMapper.insert(outfitRequest);
 
+        log.info("agent request params: {}", JSON.toJSONString(params));
         String response = SendRequestUtil.sendPostWithRetry(CommonConstants.REQUEST_OUTFIT, JSON.toJSONString(params));
 
         JSONObject jsonObject = JSONObject.parseObject(response); // todo 确认这里的status的取值
@@ -92,7 +94,7 @@ public class StyleServiceImpl extends ServiceImpl<StyleMapper, Style> implements
 
     }
 
-    private Map<String, Object> setRequestOutfitParams(Long customerId, int num, String stylistPath, String gender) {
+    private Map<String, Object> setRequestOutfitParams(Long customerId, int num, String stylistPath, String gender, String sessionId) {
         HashMap<String, Object> params = new HashMap<>();
         params.put("user_id", customerId.toString());
         params.put("num_outfits", num);
@@ -100,6 +102,7 @@ public class StyleServiceImpl extends ServiceImpl<StyleMapper, Style> implements
         params.put("callback_url", webhookDomain);
         params.put("gender", gender);
         params.put("max_len", 9);
+        params.put("session_id", sessionId);
 
         return params;
     }