异常信息处理

vetti-admin/src/main/java/com/vetti/socket/ChatWebSocketHandler.java

@@ -12,7 +12,6 @@ import com.vetti.common.config.RuoYiConfig;
 import com.vetti.common.utils.spring.SpringUtils;
 import com.vetti.hotake.domain.HotakeProblemBaseInfo;
 import com.vetti.hotake.service.IHotakeProblemBaseInfoService;
-import io.swagger.models.auth.In;
 import lombok.extern.slf4j.Slf4j;
 import org.apache.commons.io.FileUtils;
 import org.springframework.stereotype.Component;
@@ -177,42 +176,23 @@ public class ChatWebSocketHandler {
                         //把提问的文字发送给CPT(流式处理)
                         OpenAiStreamClient aiStreamClient = SpringUtils.getBean(OpenAiStreamClient.class);
                         log.info("AI提示词为:{}", promptJson);
-                        //Score: 返回的是评分,后面只会跟着一个
+                        //先获取回答的评分,是否符合要求
-                        //FOLLOW-UP: 返回的是问题,后面的每一行都是问题
+                        Boolean isEndFlag = getInterviewScore(promptJson, session, "");
+                        if(isEndFlag){
+                            log.info("面试回答符合条件规则,继续追问啦!!!!!");
                             aiStreamClient.streamChat(promptJson, new OpenAiStreamListenerService() {
-                            String isScore = "0";
+                                int resultNum = (int) (Math.random() * 2) + 1;
-                            //是否结束面试
-                            Boolean flag = true;
-                            String resultText = "";
-                            String resultEvaluate = "";
-                            //是否遇到问题记录
-                            Boolean isFlow = false;
                                 @Override
                                 public void onMessage(String content) {
                                     log.info("返回AI结果：{}", content.replaceAll("\n", ""));
-                                if (StrUtil.isEmpty(resultText)) {
+                                    //获取1和2的随机数
-                                    resultText = content;
+                                    if(resultNum == 1){
-                                } else {
+                                        content = "";
-                                    resultText = resultText + content;
                                     }
+                                    resultNum = resultNum+1;
                                     String contentData = content.replaceAll("\n", "");
-                                //记录获取的分数,并且验证分数是否完成
-                                //获取评分
-                                if (contentData.contains(SCORE_FLAG)) {
-                                    isScore = "1";
-                                }
-                                if ("1".equals(isScore)) {
-                                    //获取的是评分,并且记录评分
-                                    flag = handleScoreRecord(content, session);
-                                }
-                                if (contentData.contains(QUESTION_FLAG)) {
-                                    isFlow = true;
-                                }
-                                if (flag) {
                                     //返回是追问的问题
-                                    if (contentData.contains(QUESTION_FLAG)) {
                                     //获取的是追问的问题
-                                        contentData = contentData.replace(QUESTION_FLAG, "");
                                     if (StrUtil.isNotEmpty(contentData)) {
                                         //对问题进行数据缓存
                                         cacheQuestionResult.put(session.getId(), contentData);
@@ -228,16 +208,6 @@ public class ChatWebSocketHandler {
                                         } catch (Exception e) {
                                             e.printStackTrace();
                                         }
-
-                                        }
-                                    }
-                                    if(!isFlow){
-                                        if (StrUtil.isEmpty(resultEvaluate)) {
-                                            resultEvaluate = content;
-                                        } else {
-                                            resultEvaluate = resultEvaluate + content;
-                                        }
-                                    }
                                     }
                                 }
 
@@ -246,7 +216,7 @@ public class ChatWebSocketHandler {
                                     try {
                                         //开始往缓存中记录提问的问题
                                         String questionResult = cacheQuestionResult.get(session.getId());
-                                    if(StrUtil.isNotEmpty(questionResult)){
+                                        if (StrUtil.isNotEmpty(questionResult)) {
                                             //获取缓存记录
                                             String msgMapData = cacheMsgMapData.get(session.getId());
                                             if (StrUtil.isNotEmpty(msgMapData)) {
@@ -260,11 +230,7 @@ public class ChatWebSocketHandler {
                                         }
                                         //清空问题
                                         cacheQuestionResult.put(session.getId(), "");
-                                    if(!flag || !isFlow){
+
-                                        //理解结束面试
-                                        //发送面试结束的通知已经评分
-                                        handleInterviewEnd(session, resultEvaluate);
-                                    }
                                     } catch (Exception e) {
                                         throw new RuntimeException(e);
                                     }
@@ -276,43 +242,10 @@ public class ChatWebSocketHandler {
                                 }
                             });
                         }
+                    }
                 } else if ("end".equals(resultFlag)) {
-                    //暂时的业务逻辑
+                    log.info("面试结束啦!!!!!");
-                    //发送面试官结束语音流
+                    handleInterviewEnd(session,"");
-                    String openingPathUrl = RuoYiConfig.getProfile() + VOICE_SYSTEM_DIR + "end.wav";
-                    try {
-                        //文件转换成文件流
-                        ByteBuffer outByteBuffer = convertFileToByteBuffer(openingPathUrl);
-                        //发送文件流数据
-                        session.getBasicRemote().sendBinary(outByteBuffer);
-                        // 发送响应确认
-                        log.info("结束返回面试官语音信息:{}", System.currentTimeMillis() / 1000);
-                    } catch (IOException e) {
-                        e.printStackTrace();
-                    }
-                    //返回文本评分
-                    //处理模型提问逻辑
-                    String promptJson = "";
-                    //获取缓存记录
-                    String msgMapData = cacheMsgMapData.get(session.getId());
-                    if (StrUtil.isNotEmpty(msgMapData)) {
-                        List<Map> list = JSONUtil.toList(msgMapData, Map.class);
-                        //获取第一条数据记录
-                        Map<String, String> mapEntity = list.get(0);
-                        //更新问题记录
-                        mapEntity.put("role", "system");
-                        mapEntity.put("content", "You are a construction industry interview expert. Rate Construction Labourer candidate responses on a 1-5 scale. IMPORTANT: If the answer is completely unrelated, contains technical errors, system messages, or is nonsensical, give it a score of 0/5 and explain why it's invalid.");
-                        promptJson = JSONUtil.toJsonStr(list);
-                        //结束回答要清空问答数据
-                        cacheMsgMapData.put(session.getId(), "");
-                    }
-                    log.info("结束AI提示词为:{}", promptJson);
-                    ChatGPTClient gptClient = SpringUtils.getBean(ChatGPTClient.class);
-                    String resultMsg = gptClient.handleAiChat(promptJson, "QA");
-                    Map<String, String> resultEntity = new HashMap<>();
-                    resultEntity.put("content", resultMsg);
-                    resultEntity.put("type", "score");
-                    session.getBasicRemote().sendText(JSONUtil.toJsonStr(resultEntity));
                 }
             }
         } catch (Exception e) {
@@ -415,7 +348,7 @@ public class ChatWebSocketHandler {
             List<Map<String, String>> list = new LinkedList();
             Map<String, String> mapEntity = new HashMap<>();
             mapEntity.put("role", "system");
-            mapEntity.put("content", "You are a construction industry interview expert. You MUST provide both an evaluation and follow-up questions for every response. Use this exact format:\\n\\nEVALUATION:\\n[Rate 0-5 and provide detailed assessment. If answer is unrelated, contains technical errors, system messages, or is nonsensical, give 0/5]\\n\\nFOLLOW-UP:\\n[Always generate 1-2 relevant follow-up questions. If answer was invalid, ask for clarification or repeat the question]\\n\\nIMPORTANT: You must include both EVALUATION and FOLLOW-UP sections in every response.");
+            mapEntity.put("content", "You are an interviewer. Generate in-depth follow-up questions based on candidate responses.");
             list.add(mapEntity);
             //获取预设问题-直接TTS转换返回语音结果
             IHotakeProblemBaseInfoService problemBaseInfoService = SpringUtils.getBean(IHotakeProblemBaseInfoService.class);
@@ -447,47 +380,54 @@ public class ChatWebSocketHandler {
 
     /**
      * 处理面试结束业务逻辑
-     * 触发规则:
-     * 1、获得 0-1 分 大于1次  立即结束面试
-     * 2、获取 4-5 分 大于3次  立即结束面试
-     * 3、获取 2-3 分 大于3次  立即结束面试
-     * 4、获取 2-5 分 大于4次  立即结束面试
-     * 5、没有 FOLLOW-UP 理解结束面试
      *
      * @param session 客户端会话
-     * @param content 追问内容
+     * @param position 职位
      */
-    private void handleInterviewEnd(Session session, String content) {
+    private void handleInterviewEnd(Session session,String position) {
-        //验证是否触发面试结束逻辑
+        //暂时的业务逻辑
-        try {
         //发送面试官结束语音流
-            String pathUrl = RuoYiConfig.getProfile() + VOICE_SYSTEM_DIR + "end.wav";
+        String openingPathUrl = RuoYiConfig.getProfile() + VOICE_SYSTEM_DIR + "end.wav";
-            sendVoiceBuffer(pathUrl, session);
+        sendVoiceBuffer(openingPathUrl, session);
+
         //返回文本评分
+        //处理模型提问逻辑
+        //获取缓存记录
+        String msgMapData = cacheMsgMapData.get(session.getId());
+        String promptJson = "";
+        if (StrUtil.isNotEmpty(msgMapData)) {
+            List<Map> list = JSONUtil.toList(msgMapData, Map.class);
+            //获取第一条数据记录
+            Map<String, String> mapEntity = list.get(0);
+            //更新问题记录
+            mapEntity.put("role", "system");
+            mapEntity.put("content", "You are a construction industry interview expert. Rate candidate responses on a 1-5 scale and analyze key signals.");
+            //每个回答的内容前面要加上候选人的职位
+            if (StrUtil.isNotEmpty(position)) {
+                for (Map map : list) {
+                    if ("user".equals(map.get("role").toString())) {
+                        map.put("content", "Position: " + position + "\\n" + map.get("content"));
+                    }
+                }
+            }
+            promptJson = JSONUtil.toJsonStr(list);
+
             //结束回答要清空问答数据
             cacheMsgMapData.put(session.getId(), "");
+        }
+        log.info("结束AI提示词为:{}", promptJson);
+        ChatGPTClient gptClient = SpringUtils.getBean(ChatGPTClient.class);
+        String resultMsg = gptClient.handleAiChat(promptJson, "QA");
         Map<String, String> resultEntity = new HashMap<>();
-            resultEntity.put("content", content);
+        resultEntity.put("content", resultMsg);
         resultEntity.put("type", "score");
+        try{
             session.getBasicRemote().sendText(JSONUtil.toJsonStr(resultEntity));
-
+        }catch (Exception e){
-        } catch (Exception e) {
             e.printStackTrace();
         }
     }
 
-    /**
-     * 解析AI结果,获取随机问题
-     *
-     * @param content
-     * @return
-     */
-    private String handleReturnQuestion(String content) {
-
-
-        return "";
-    }
-
     /**
      * 处理评分记录
      * 触发规则:
@@ -503,7 +443,7 @@ public class ChatWebSocketHandler {
         Map<String, Integer> scoreRecordMap = cacheScoreResult.get(session.getId());
         //对评分进行处理
         if (StrUtil.isNotEmpty(content)) {
-            String[] strs = content.split("\\\\");
+            String[] strs = content.split("/");
             //取第一个数就是对应的评分
             BigDecimal score = new BigDecimal(strs[0]);
             //记录Key为1
@@ -542,5 +482,57 @@ public class ChatWebSocketHandler {
         return true;
     }
 
+    /**
+     * 获取面试回答评分,并且校验是否结束面试
+     *
+     * @param promptJson 提示词数据json
+     * @param session    客户端会话
+     * @param position   职位
+     */
+    private Boolean getInterviewScore(String promptJson, Session session, String position) {
+        //返回文本评分
+        //获取缓存记录
+        String msgMapData = cacheMsgMapData.get(session.getId());
+        if (StrUtil.isNotEmpty(msgMapData)) {
+            List<Map> list = JSONUtil.toList(msgMapData, Map.class);
+            //获取第一条数据记录
+            Map<String, String> mapEntity = list.get(0);
+            //更新问题记录
+            mapEntity.put("role", "system");
+            mapEntity.put("content", "You are a construction industry interview expert. Rate candidate responses on a 1-5 scale and analyze key signals.");
+            //每个回答的内容前面要加上候选人的职位
+            if (StrUtil.isNotEmpty(position)) {
+                for (Map map : list) {
+                    if ("user".equals(map.get("role").toString())) {
+                        map.put("content", "Position: " + position + "\\n" + map.get("content"));
+                    }
+                }
+            }
+            promptJson = JSONUtil.toJsonStr(list);
+        }
+        log.info("评分AI提示词为:{}", promptJson);
+        ChatGPTClient gptClient = SpringUtils.getBean(ChatGPTClient.class);
+        String resultMsg = gptClient.handleAiChat(promptJson, "QA");
+        //评论格式为: Score: 3/5\nAssessment: Basically correct answer but lacks detail
+        String resultScore = "";
+        if (StrUtil.isNotEmpty(resultMsg)) {
+            String[] resultMsgs = resultMsg.split("\\\\n");
+            resultScore = resultMsgs[0].replaceAll(SCORE_FLAG, "");
+        }
+        //校验面试是否结束
+        Boolean flag = handleScoreRecord(resultScore, session);
+        try {
+            if (!flag) {
+                Map<String, String> resultEntity = new HashMap<>();
+                resultEntity.put("content", resultMsg);
+                resultEntity.put("type", "score");
+                session.getBasicRemote().sendText(JSONUtil.toJsonStr(resultEntity));
+            }
+        } catch (Exception e) {
+            e.printStackTrace();
+        }
+        return flag;
+    }
+
 }
 

vetti-admin/src/main/resources/application-druid.yml

@@ -169,12 +169,10 @@ whisper:
 chatGpt:
     apiKey: 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
     apiUrl: https://api.openai.com/v1/chat/completions
-    model: ft:gpt-3.5-turbo-0125:vetti:construction-labourer-test:CWKBNvE2
+    model: ft:gpt-3.5-turbo-0125:vetti::CYl9OBMN
-    modelCV: ft:gpt-3.5-turbo-0125:vetti:vetti-resume-test:CWPinJQq
+    modelCV: ft:gpt-3.5-turbo-0125:vetti:vetti-resume-full:CYT0C8JG
     role: system
 
-
-
 http:
     client:
         connect-timeout-seconds: 10

vetti-admin/src/main/resources/i18n/messages.properties

@@ -2,8 +2,8 @@
 not.null=* 必须填写
 user.jcaptcha.error=验证码错误
 user.jcaptcha.expire=验证码已失效
-user.not.exists=用户不存在/密码错误
+user.not.exists=User does not exist/password incorrect
-user.password.not.match=用户不存在/密码错误
+user.password.not.match=User does not exist/password incorrect
 user.password.retry.limit.count=密码输入错误{0}次
 user.password.retry.limit.exceed=密码输入错误{0}次，帐户锁定{1}分钟
 user.password.delete=对不起，您的账号已被删除

vetti-admin/target/classes/application-druid.yml

@@ -169,12 +169,10 @@ whisper:
 chatGpt:
     apiKey: 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
     apiUrl: https://api.openai.com/v1/chat/completions
-    model: ft:gpt-3.5-turbo-0125:vetti:construction-labourer-test:CWKBNvE2
+    model: ft:gpt-3.5-turbo-0125:vetti::CYl9OBMN
-    modelCV: ft:gpt-3.5-turbo-0125:vetti:vetti-resume-test:CWPinJQq
+    modelCV: ft:gpt-3.5-turbo-0125:vetti:vetti-resume-full:CYT0C8JG
     role: system
 
-
-
 http:
     client:
         connect-timeout-seconds: 10

vetti-framework/src/main/java/com/vetti/framework/web/exception/GlobalExceptionHandler.java

@@ -65,6 +65,9 @@ public class GlobalExceptionHandler
     {
         log.error(e.getMessage(), e);
         Integer code = e.getCode();
+        if(code == null){
+            code = HttpStatus.ERROR;
+        }
         response.setStatus(code);
         return StringUtils.isNotNull(code) ? AjaxResult.error(code, e.getMessage()) : AjaxResult.error(e.getMessage());
     }