简历解析业务逻辑处理

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

@@ -186,7 +186,8 @@ public class ChatWebSocketMultipleHandler {
                             mapEntity.put("content", StrUtil.format(content, cacheResultText));
                             cacheMsgMapData1.put(session.getId(), JSONUtil.toJsonStr(list));
                         }
-
+                        Long replyNums = cacheQuestionNum.get(session.getId());
+                        cacheQuestionNum.put(session.getId(), replyNums+1);
                         //验证是否结速
                         Boolean isEndFlag = checkIsEnd(session);
                         if(isEndFlag){
@@ -633,6 +634,7 @@ public class ChatWebSocketMultipleHandler {
 
     /**
      * 验证面试是否结束
+     * 记录回答问题的次数
      * @param session
      * @return
      */
@@ -640,7 +642,8 @@ public class ChatWebSocketMultipleHandler {
         Long replyNums = cacheQuestionNum.get(session.getId());
         //回答次数大于等于5就直接结束面试
         Boolean flag  = true;
-        if(replyNums >= 5){
+        if(replyNums.longValue() >= 5L){
+            flag = false;
             //获取问答评分记录
             String promptJson = cacheMsgMapData1.get(session.getId());
             //根据模型获取评分
@@ -668,9 +671,6 @@ public class ChatWebSocketMultipleHandler {
                     e.printStackTrace();
                 }
             }
-            flag = false;
-        }else{
-            cacheQuestionNum.put(session.getId(), replyNums+1);
         }
         return flag;
     }

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

@@ -172,6 +172,7 @@ chatGpt:
     model: ft:gpt-3.5-turbo-0125:vetti:interview-unified:CaGyCXOr
     modelQuestion: gpt-4o-mini
     modelCV: ft:gpt-3.5-turbo-0125:vetti:vetti-resume-full:CYT0C8JG
+    modelJxCv: gpt-4o-mini
     role: system
 
 http:

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

@@ -172,6 +172,7 @@ chatGpt:
     model: ft:gpt-3.5-turbo-0125:vetti:interview-unified:CaGyCXOr
     modelQuestion: gpt-4o-mini
     modelCV: ft:gpt-3.5-turbo-0125:vetti:vetti-resume-full:CYT0C8JG
+    modelJxCv: gpt-4o-mini
     role: system
 
 http:

vetti-common/src/main/java/com/vetti/common/ai/elevenLabs/ElevenLabsStreamClient.java

@@ -71,6 +71,7 @@ public class ElevenLabsStreamClient {
                     ByteArrayOutputStream smallChunkBuffer = new ByteArrayOutputStream();
                     byte[] buffer = new byte[4096];
                     int bytesRead;
+                    log.info("开始发送语音流:{}",System.currentTimeMillis()/1000);
                     while ((bytesRead = inputStream.read(buffer)) != -1) {
                         try{
                             // 如果上一包还在发送 → 阻塞等待
@@ -80,10 +81,10 @@ public class ElevenLabsStreamClient {
                             }
                         }catch (Exception e){}
                         //语音流合并到2KB左右进行发送
-                        if(smallChunkBuffer.size() >= 3072){
+                        if(smallChunkBuffer.size() >= 4096){
                             // 🔥开始发送 → 上锁
                             sending[0] = true;
-                            log.info("语音流大于"+smallChunkBuffer.size()+"啦,发送完成!!!");
+//                            log.info("语音流大于"+smallChunkBuffer.size()+"啦,发送完成!!!");
                             byte[] merged = smallChunkBuffer.toByteArray();
                             smallChunkBuffer.reset();
                             session.getAsyncRemote().sendBinary(ByteBuffer.wrap(merged), result -> {
@@ -99,16 +100,19 @@ public class ElevenLabsStreamClient {
                     }
                     //都加完缓冲区,最最后一次发送
                     if(smallChunkBuffer.size() > 2){
+                        try {
+                            Thread.sleep(50);
+                        }catch (Exception e){}
                         // 如果上一包还在发送 → 阻塞等待
                         byte[] merged = smallChunkBuffer.toByteArray();
                         smallChunkBuffer.reset();
                         session.getAsyncRemote().sendBinary(ByteBuffer.wrap(merged), result -> {
-                            log.info("最后一次发送,语音流大于"+smallChunkBuffer.size()+"啦,发送完成!!!");
                         });
                     }
+                    log.info("结束发送语音流:{}",System.currentTimeMillis()/1000);
                     //返回结束点
                     try {
-                        Thread.sleep(20);
+                        Thread.sleep(50);
                     }catch (Exception e){}
                     Map<String,String> dataText = new HashMap<>();
                     dataText.put("type","voiceEnd");

vetti-common/src/main/java/com/vetti/common/ai/gpt/ChatGPTClient.java

@@ -39,6 +39,9 @@ public class ChatGPTClient {
     @Value("${chatGpt.modelCV}")
     private String modelCV;
 
+    @Value("${chatGpt.modelJxCv}")
+    private String modelJxCv;
+
     @Value("${chatGpt.role}")
     private String role;
 
@@ -66,6 +69,8 @@ public class ChatGPTClient {
                 resultText = sendMessage(promptText, modelQuestion,objectMapper,client,role);
             } else if("PF".equals(type)){
                 resultText = sendMessage(promptText, model,objectMapper,client,role);
+            }else if("JX".equals(type)){
+                resultText = sendMessage(promptText, modelJxCv,objectMapper,client,role);
             }else {
                 resultText = sendMessage(promptText, modelQuestion,objectMapper,client,role);
             }

vetti-hotakes/src/main/java/com/vetti/hotake/domain/HotakeCvInfo.java

@@ -1,5 +1,6 @@
 package com.vetti.hotake.domain;
 
+import com.vetti.hotake.domain.dto.HotakeCvInfoDto;
 import lombok.Data;
 import lombok.experimental.Accessors;
 import io.swagger.annotations.ApiModelProperty;
@@ -52,4 +53,13 @@ public class HotakeCvInfo extends BaseEntity
     @Excel(name = "状态", readConverterExp = "0=,禁=用，1,启=用")
     private String status;
 
+    @ApiModelProperty("简历详细信息-固定模版")
+    private HotakeCvInfoDto cvInfoDto;
+
+    @ApiModelProperty("简历预设问题记录")
+    private HotakeProblemBaseInfo problemBaseInfo;
+
+    @ApiModelProperty("简历评分")
+    private String score;
+
 }

vetti-hotakes/src/main/java/com/vetti/hotake/domain/HotakeProblemBaseInfo.java

@@ -32,6 +32,9 @@ public class HotakeProblemBaseInfo extends BaseEntity
     @Excel(name = "问题")
     private String contents;
 
+    @ApiModelProperty("问题数量")
+    private Integer questionNums;
+
     /** 状态（0 禁用，1 启用） */
     @ApiModelProperty("状态（0 禁用，1 启用）")
     @Excel(name = "状态", readConverterExp = "0=,禁=用，1,启=用")

vetti-hotakes/src/main/java/com/vetti/hotake/domain/dto/HotakeCvInfoDto.java

@@ -0,0 +1,40 @@
+package com.vetti.hotake.domain.dto;
+
+import com.vetti.hotake.domain.dto.VcDto.*;
+import io.swagger.annotations.ApiModelProperty;
+import lombok.Data;
+import lombok.experimental.Accessors;
+
+import java.util.List;
+
+/**
+ * 简历结构化信息对象 hotake_cv_info
+ *
+ * @author wangxiangshun
+ * @date 2025-11-30
+ */
+@Data
+@Accessors(chain = true)
+public class HotakeCvInfoDto {
+
+    @ApiModelProperty("姓名")
+    private String name;
+    @ApiModelProperty("电话")
+    private String phone;
+    @ApiModelProperty("邮箱")
+    private String email;
+    @ApiModelProperty("链接对象集合")
+    private List<VcLinksDto> linksList;
+    @ApiModelProperty("自我介绍")
+    private String about;
+    @ApiModelProperty("技能工具-许可证、注册/会员资格、认证")
+    private List<VcSkillsToolsDto> skillsToolsList;
+    @ApiModelProperty("语言")
+    private List<VcLanguagesDto> languagesList;
+    @ApiModelProperty("工作经验集合")
+    private List<VcExperienceDto> experienceList;
+    @ApiModelProperty("教育经历")
+    private List<VcEducationDto> educationList;
+
+
+}

vetti-hotakes/src/main/java/com/vetti/hotake/domain/dto/VcDto/VcEducationDto.java

@@ -0,0 +1,25 @@
+package com.vetti.hotake.domain.dto.VcDto;
+
+import io.swagger.annotations.ApiModelProperty;
+import lombok.Data;
+import lombok.experimental.Accessors;
+
+/**
+ * 简历-教育经历-信息对象
+ *
+ * @author wangxiangshun
+ * @date 2025-11-30
+ */
+@Data
+@Accessors(chain = true)
+public class VcEducationDto {
+
+    @ApiModelProperty("学位")
+    private String degree;
+
+    @ApiModelProperty("学校名")
+    private String institution;
+
+    @ApiModelProperty("时间")
+    private String date;
+}

vetti-hotakes/src/main/java/com/vetti/hotake/domain/dto/VcDto/VcExperienceDescriptionDto.java

@@ -0,0 +1,19 @@
+package com.vetti.hotake.domain.dto.VcDto;
+
+import io.swagger.annotations.ApiModelProperty;
+import lombok.Data;
+import lombok.experimental.Accessors;
+
+/**
+ * 简历-工作经验-描述-信息对象
+ *
+ * @author wangxiangshun
+ * @date 2025-11-30
+ */
+@Data
+@Accessors(chain = true)
+public class VcExperienceDescriptionDto {
+
+    @ApiModelProperty("内容")
+    private String content;
+}

vetti-hotakes/src/main/java/com/vetti/hotake/domain/dto/VcDto/VcExperienceDto.java

@@ -0,0 +1,34 @@
+package com.vetti.hotake.domain.dto.VcDto;
+
+import io.swagger.annotations.ApiModelProperty;
+import lombok.Data;
+import lombok.experimental.Accessors;
+
+import java.util.List;
+
+/**
+ * 简历-工作经验-信息对象
+ *
+ * @author wangxiangshun
+ * @date 2025-11-30
+ */
+@Data
+@Accessors(chain = true)
+public class VcExperienceDto {
+
+    @ApiModelProperty("标题")
+    private String title;
+
+    @ApiModelProperty("公司")
+    private String company;
+
+    @ApiModelProperty("地点")
+    private String location;
+
+    @ApiModelProperty("时间")
+    private String duration;
+
+    @ApiModelProperty("描述集合")
+    private List<VcExperienceDescriptionDto> descriptionList;
+}
+

vetti-hotakes/src/main/java/com/vetti/hotake/domain/dto/VcDto/VcLanguagesDto.java

@@ -0,0 +1,19 @@
+package com.vetti.hotake.domain.dto.VcDto;
+
+import io.swagger.annotations.ApiModelProperty;
+import lombok.Data;
+import lombok.experimental.Accessors;
+
+/**
+ * 简历-语言-信息对象
+ *
+ * @author wangxiangshun
+ * @date 2025-11-30
+ */
+@Data
+@Accessors(chain = true)
+public class VcLanguagesDto {
+
+    @ApiModelProperty("内容")
+    private String content;
+}

vetti-hotakes/src/main/java/com/vetti/hotake/domain/dto/VcDto/VcLinksDto.java

@@ -0,0 +1,19 @@
+package com.vetti.hotake.domain.dto.VcDto;
+
+import io.swagger.annotations.ApiModelProperty;
+import lombok.Data;
+import lombok.experimental.Accessors;
+
+/**
+ * 简历链接-信息对象
+ *
+ * @author wangxiangshun
+ * @date 2025-11-30
+ */
+@Data
+@Accessors(chain = true)
+public class VcLinksDto {
+
+    @ApiModelProperty("内容")
+    private String content;
+}

vetti-hotakes/src/main/java/com/vetti/hotake/domain/dto/VcDto/VcSkillsToolsDto.java

@@ -0,0 +1,19 @@
+package com.vetti.hotake.domain.dto.VcDto;
+
+import io.swagger.annotations.ApiModelProperty;
+import lombok.Data;
+import lombok.experimental.Accessors;
+
+/**
+ * 简历 技能工具-许可证、注册/会员资格、认证-信息对象
+ *
+ * @author wangxiangshun
+ * @date 2025-11-30
+ */
+@Data
+@Accessors(chain = true)
+public class VcSkillsToolsDto {
+
+    @ApiModelProperty("内容")
+    private String content;
+}

vetti-hotakes/src/main/java/com/vetti/hotake/service/IHotakeCvInfoService.java

@@ -2,6 +2,8 @@ package com.vetti.hotake.service;
 
 import java.util.List;
 import com.vetti.hotake.domain.HotakeCvInfo;
+import com.vetti.hotake.domain.HotakeProblemBaseInfo;
+import com.vetti.hotake.domain.dto.HotakeCvInfoDto;
 
 /**
  * 简历信息Service接口
@@ -38,10 +40,10 @@ public interface IHotakeCvInfoService
     /**
      * 处理简历信息
      *
-     * @param hotakeCvInfo 简历信息
+     * @param cvInfoDto 简历信息
      * @return 结果
      */
-    public void handleHotakeCvInfo(HotakeCvInfo hotakeCvInfo);
+    public HotakeProblemBaseInfo handleHotakeCvInfo(HotakeCvInfoDto cvInfoDto);
 
 
     /**

vetti-hotakes/src/main/java/com/vetti/hotake/service/impl/HotakeCvInfoServiceImpl.java

@@ -1,13 +1,5 @@
 package com.vetti.hotake.service.impl;
 
-import java.io.File;
-import java.io.FileInputStream;
-import java.io.InputStream;
-import java.util.HashMap;
-import java.util.LinkedList;
-import java.util.List;
-import java.util.Map;
-
 import cn.hutool.core.io.FileUtil;
 import cn.hutool.core.util.StrUtil;
 import cn.hutool.json.JSONUtil;
@@ -17,11 +9,12 @@ import com.vetti.common.enums.FillTypeEnum;
 import com.vetti.common.enums.MinioBucketNameEnum;
 import com.vetti.common.utils.DateUtils;
 import com.vetti.common.utils.SecurityUtils;
-import com.vetti.common.utils.file.MinioUtil;
 import com.vetti.common.utils.readFile.FileContentUtil;
-import com.vetti.common.utils.readText.ResumeTextExtractor;
+import com.vetti.hotake.domain.HotakeCvInfo;
-import com.vetti.common.utils.readText.vo.ResumeData;
 import com.vetti.hotake.domain.HotakeProblemBaseInfo;
+import com.vetti.hotake.domain.dto.HotakeCvInfoDto;
+import com.vetti.hotake.mapper.HotakeCvInfoMapper;
+import com.vetti.hotake.service.IHotakeCvInfoService;
 import com.vetti.hotake.service.IHotakeProblemBaseInfoService;
 import io.minio.GetObjectArgs;
 import io.minio.MinioClient;
@@ -30,11 +23,11 @@ import org.springframework.beans.factory.annotation.Autowired;
 import org.springframework.stereotype.Service;
 import org.springframework.transaction.annotation.Transactional;
 
-import com.vetti.hotake.mapper.HotakeCvInfoMapper;
+import java.io.InputStream;
-import com.vetti.hotake.domain.HotakeCvInfo;
+import java.util.HashMap;
-import com.vetti.hotake.service.IHotakeCvInfoService;
+import java.util.LinkedList;
-
+import java.util.List;
-import javax.annotation.Resource;
+import java.util.Map;
 
 /**
  * 简历信息Service业务层处理
@@ -113,8 +106,23 @@ public class HotakeCvInfoServiceImpl extends BaseServiceImpl implements IHotakeC
         }
         hotakeCvInfo.setCvFileSuffix(fileSuffix);
         if("cv".equals(hotakeCvInfo.getCvFileType())){
-            //对简历数据进行处理生成相应的题库数据
+            try{
-            handleHotakeCvInfo(hotakeCvInfo);
+                InputStream inputStream = minioClient.getObject(
+                        GetObjectArgs.builder()
+                                .bucket(MinioBucketNameEnum.CV.getCode())
+                                .object(hotakeCvInfo.getCvUrl())
+                                .build());
+                String contents = FileContentUtil.readFileContent(inputStream,hotakeCvInfo.getCvFileSuffix());
+                //生成简历模版数据信息
+                HotakeCvInfoDto cvInfoDto = handleAnalysisCvInfo(contents);
+                hotakeCvInfo.setCvInfoDto(cvInfoDto);
+                //对简历数据进行处理生成相应的题库数据
+                HotakeProblemBaseInfo problemBaseInfo = handleHotakeCvInfo(cvInfoDto);
+                hotakeCvInfo.setProblemBaseInfo(problemBaseInfo);
+                //生成对应的简历评分
+                handleHotakeCvInfoScore(cvInfoDto);
+            }catch (Exception e){
+            }
         }
         return hotakeCvInfo;
     }
@@ -125,19 +133,9 @@ public class HotakeCvInfoServiceImpl extends BaseServiceImpl implements IHotakeC
      * @return
      */
     @Override
-    public void handleHotakeCvInfo(HotakeCvInfo hotakeCvInfo) {
+    public HotakeProblemBaseInfo handleHotakeCvInfo(HotakeCvInfoDto cvInfoDto) {
+        HotakeProblemBaseInfo problemBaseInfo = new HotakeProblemBaseInfo();
         try{
-            InputStream inputStream = minioClient.getObject(
-                    GetObjectArgs.builder()
-                            .bucket(MinioBucketNameEnum.CV.getCode())
-                            .object(hotakeCvInfo.getCvUrl())
-                            .build());
-
-            String contents = FileContentUtil.readFileContent(inputStream,hotakeCvInfo.getCvFileSuffix());
-            //进行简历数据提取
-            ResumeTextExtractor extractor = new ResumeTextExtractor();
-            ResumeData resumeData = extractor.extractResumeData(contents,"");
-            log.info("返回简历基本内容:{}", resumeData);
             //调用AI大模型
             List<Map<String,String>> list = new LinkedList();
             Map<String,String> mapEntity = new HashMap<>();
@@ -147,35 +145,33 @@ public class HotakeCvInfoServiceImpl extends BaseServiceImpl implements IHotakeC
             Map<String,String> mapEntityOne = new HashMap<>();
             mapEntityOne.put("role","user");
             mapEntityOne.put("content","Position: Construction Labourer"+
-                    "\\nCandidate: "+resumeData.getPersonalInfo().getName()+
+                    "\\nCandidate: "+cvInfoDto.getName()+
-                    "\\nKey Skills: "+JSONUtil.toJsonStr(resumeData.getSkills())+
+                    "\\nKey Skills: "+JSONUtil.toJsonStr(cvInfoDto.getSkillsToolsList())+
-                    "\\nExperience: "+resumeData.getPersonalInfo().getExperienceYears()+"years"+
+                    "\\nExperience: "+JSONUtil.toJsonStr(cvInfoDto.getExperienceList())+
                     "\\nStrengths: Professional certifications, Relevant experience"+
-                    "\\nConcerns: "+JSONUtil.toJsonStr(resumeData.getSummary()));
+                    "\\nConcerns: "+JSONUtil.toJsonStr(cvInfoDto.getAbout()));
             list.add(mapEntityOne);
             String promptText = JSONUtil.toJsonStr(list);
             String resultMsg = chatGPTClient.handleAiChat(promptText,"CV");
+            log.info("返回简历问题数据:{}",resultMsg);
             resultMsg = resultMsg.replaceAll("\n","#AA#");
             String question = "";
+            Integer questionNums = 0;
             if(StrUtil.isNotEmpty(resultMsg)){
-                String[] results = resultMsg.split("#AA#");
+                resultMsg = resultMsg.replaceAll(QUESTION_PREFIX,"");
-                question = results[0].replaceAll(QUESTION_PREFIX,"");
+                questionNums = resultMsg.split("#AA#").length;
-                if(StrUtil.isEmpty(question)){
-                    //设置一个默认值
-                    question = "Your professional certifications is impressive. Can you give me a specific example of how this benefited a project?";
-                }
             }
-            log.info("返回初始化问题:{}",resultMsg);
             //生成预设问题记录
             //先删除该用户的预设问题
             hotakeProblemBaseInfoService.deleteHotakeProblemBaseInfoByUserId(SecurityUtils.getUserId());
-            HotakeProblemBaseInfo problemBaseInfo = new HotakeProblemBaseInfo();
             problemBaseInfo.setUserId(SecurityUtils.getUserId());
-            problemBaseInfo.setContents(question);
+            problemBaseInfo.setContents(resultMsg);
+            problemBaseInfo.setQuestionNums(questionNums);
             hotakeProblemBaseInfoService.insertHotakeProblemBaseInfo(problemBaseInfo);
         }catch (Exception e) {
             e.printStackTrace();
         }
+        return problemBaseInfo;
     }
 
 
@@ -230,4 +226,63 @@ public class HotakeCvInfoServiceImpl extends BaseServiceImpl implements IHotakeC
     public int batchInsertHotakeCvInfo(List<HotakeCvInfo> hotakeCvInfoList){
         return hotakeCvInfoMapper.batchInsertHotakeCvInfo(hotakeCvInfoList);
     }
+
+
+    /**
+     * 简历解析数据
+     * @param contents
+     * @return
+     */
+    private HotakeCvInfoDto handleAnalysisCvInfo(String contents){
+        //根据AI做
+        String pom = "[\n" +
+                "    {\n" +
+                "        \"role\": \"user\",\n" +
+                "        \"content\": \"从下面提供的文本中提取所有能识别到的简历信息，只提取原文中存在的内容，不要补充、不推测、不总结。需要提取的字段包括：name（姓名）、phone（电话号码）、email（电子邮件地址）、links（所有链接地址）、about（关于我/自我介绍）、skills_tools（关键资格（许可证、注册/会员资格、认证））、languages（语言能力）、experience（工作经历(除了title、company、location、duration其他的都放到描述里面)）、education（教育经历）。请将提取结果以结构化 JSON 格式返回，格式如下：{ \\\"name\\\": \\\"\\\", \\\"phone\\\": \\\"\\\", \\\"email\\\": \\\"\\\", \\\"links\\\": [], \\\"about\\\": \\\"\\\", \\\"skills_tools\\\": [], \\\"languages\\\": [], \\\"experience\\\": [{\\\"title\\\": \\\"\\\", \\\"company\\\": \\\"\\\",\\\"location\\\": \\\"\\\",\\\"duration\\\": \\\"\\\",\\\"description\\\": []}], \\\"education\\\": [{\\\"degree\\\": \\\"\\\",\\\"institution\\\": \\\"\\\",\\\"date\\\": \\\"\\\"}] }。字段不存在则返回 null 或空数组。只返回标准可解析的 JSON结构 ,不要多余的```json等信息，不要解释说明，不要改写内容。以下为待处理文本：" + contents +
+                "    }\n" +
+                "]";
+        String resultCv = chatGPTClient.handleAiChat(pom,"JX");
+        try{
+            HotakeCvInfoDto cvInfoDto = JSONUtil.toBean(resultCv,HotakeCvInfoDto.class);
+            return cvInfoDto;
+        }catch (Exception e){
+        }
+        return new HotakeCvInfoDto();
+    }
+
+
+    /**
+     * 处理简历信息
+     * @param hotakeCvInfo 简历信息
+     * @return
+     */
+    private HotakeProblemBaseInfo handleHotakeCvInfoScore(HotakeCvInfoDto cvInfoDto) {
+        HotakeProblemBaseInfo problemBaseInfo = new HotakeProblemBaseInfo();
+        try{
+            //调用AI大模型
+            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 HR expert. Evaluate resumes and provide scores and recommendations for construction management positions.");
+            list.add(mapEntity);
+            Map<String,String> mapEntityOne = new HashMap<>();
+            mapEntityOne.put("role","user");
+            mapEntityOne.put("content","Position: Construction Labourer"+
+                    "\\nCandidate: "+cvInfoDto.getName()+
+                    "\\nResume Summary: "+JSONUtil.toJsonStr(cvInfoDto.getAbout())+
+                    "\\nSkills: "+JSONUtil.toJsonStr(cvInfoDto.getSkillsToolsList())+
+                    "\\nExperience: "+JSONUtil.toJsonStr(cvInfoDto.getExperienceList())+
+                    "\\nEducation: "+JSONUtil.toJsonStr(cvInfoDto.getEducationList())+
+                    "\\nCertifications: "+JSONUtil.toJsonStr(cvInfoDto.getSkillsToolsList()));
+            list.add(mapEntityOne);
+            String promptText = JSONUtil.toJsonStr(list);
+            String resultMsg = chatGPTClient.handleAiChat(promptText,"CV");
+            log.info("返回简历评分数据:{}",resultMsg);
+
+        }catch (Exception e) {
+            e.printStackTrace();
+        }
+        return problemBaseInfo;
+    }
+
 }