fix: 修复因为单例 OkHttpClient 的使用导致ws连接失败的bug

src/main/java/cn/teammodel/ai/SparkGptClient.java

@@ -32,7 +32,7 @@ import java.util.concurrent.TimeUnit;
 public class SparkGptClient implements InitializingBean {
     @Resource
     private SparkGptProperties sparkGptProperties;
-    private OkHttpClient okHttpClient;
+//    private OkHttpClient okHttpClient;
     private String authUrl;
 
     /**
@@ -46,12 +46,12 @@ public class SparkGptClient implements InitializingBean {
         this.authUrl = authUrl.replace("http://", "ws://").replace("https://", "wss://");
         log.info("[SPARK CHAT] 鉴权 endpoint : {}", this.authUrl);
         // 初始化 okHttpClient
-        this.okHttpClient = new OkHttpClient()
-                .newBuilder()
-                .connectTimeout(90, TimeUnit.SECONDS)
-                .readTimeout(90, TimeUnit.SECONDS) // sse 接口的 readTimeout 不能设置小了
-                .writeTimeout(90, TimeUnit.SECONDS)
-                .build();
+//        this.okHttpClient = new OkHttpClient()
+//                .newBuilder()
+//                .connectTimeout(90, TimeUnit.SECONDS)
+//                .readTimeout(90, TimeUnit.SECONDS) // sse 接口的 readTimeout 不能设置小了
+//                .writeTimeout(90, TimeUnit.SECONDS)
+//                .build();
     }
 
     /**
@@ -64,6 +64,12 @@ public class SparkGptClient implements InitializingBean {
             // 设置请求参数
             listener.setRequestJson(param.toJsonParams());
             log.info("[SPARK CHAT] 请求参数 {}", JSONUtil.parseObj(param.toJsonParams()).toStringPretty());
+            OkHttpClient okHttpClient = new OkHttpClient()
+                    .newBuilder()
+                    .connectTimeout(90, TimeUnit.SECONDS)
+                    .readTimeout(90, TimeUnit.SECONDS) // sse 接口的 readTimeout 不能设置小了
+                    .writeTimeout(90, TimeUnit.SECONDS)
+                    .build();
             okHttpClient.newWebSocket(request, listener);
         } catch (Exception e) {
             log.error("[SPARK CHAT] Spark AI 请求异常: {}", e.getMessage());

src/main/java/cn/teammodel/ai/listener/SparkGptStreamListener.java

@@ -63,8 +63,9 @@ public class SparkGptStreamListener extends WebSocketListener {
         }
         // 推送回答 segment
         String msgSegment = sparkChatResponse.getPayload().getChoices().getText().get(0).getContent();
-        // 处理消息格式(空格和换行符)
-        msgSegment = StrUtil.replace(msgSegment, " ", " ").replaceAll("\n", "&#92n");
+//         处理消息格式(空格和换行符)
+//        msgSegment = StrUtil.replace(msgSegment, " ", " ").replaceAll("\n", "&#92n");
+        msgSegment = StrUtil.replace(msgSegment, " ", "&#32;").replaceAll("\n", "<br/>");
         answer += msgSegment;
         SseHelper.send(sseEmitter, msgSegment);
 

src/main/java/cn/teammodel/service/impl/ChatMessageServiceImpl.java

@@ -93,14 +93,14 @@ public class ChatMessageServiceImpl implements ChatMessageService {
 
             if (ObjectUtils.isNotEmpty(context)) {
                 HistoryCache.putContext(sessionId, context);
-                // convert DB Message to Spark Message
-                context.forEach(item -> {
-                    paramMessages.add(SparkChatRequestParam.Message.ofUser(item.getUserText()));
-                    paramMessages.add(SparkChatRequestParam.Message.ofAssistant(item.getGptText()));
-                });
             }
         }
 
+        // convert DB Message to Spark Message
+        context.forEach(item -> {
+            paramMessages.add(SparkChatRequestParam.Message.ofUser(item.getUserText()));
+            paramMessages.add(SparkChatRequestParam.Message.ofAssistant(item.getGptText()));
+        });
         paramMessages.add(SparkChatRequestParam.Message.ofUser(prompt));
         return paramMessages;
     }