修复机器学习bug

src/main/java/com/sztzjy/marketing/controller/stu/QianFanBigModuleController.java

@@ -175,4 +175,15 @@ public class QianFanBigModuleController {
     }
 
 
+    @ApiOperation("获取文件上传信息")
+    @GetMapping("/getUploadFileInfo")
+    @AnonymousAccess
+    public ResultEntity getUploadFileInfo(
+            String userId,String module,String  schoolId) {
+
+        return qianFanBigModuleService.getUploadFileInfo(userId,module,schoolId);
+
+    }
+
+
 }

src/main/java/com/sztzjy/marketing/controller/stu/StuExperimentalTrainingController.java

@@ -21,12 +21,18 @@ import io.swagger.annotations.Api;
 import io.swagger.annotations.ApiOperation;
 import io.swagger.annotations.ApiParam;
 import org.springframework.beans.factory.annotation.Autowired;
+import org.springframework.beans.factory.annotation.Value;
 import org.springframework.http.HttpStatus;
+import org.springframework.http.MediaType;
+import org.springframework.http.ResponseEntity;
 import org.springframework.web.bind.annotation.*;
 
 
 import javax.annotation.Resource;
 import javax.servlet.http.HttpServletResponse;
+import java.io.IOException;
+import java.nio.file.Files;
+import java.nio.file.Paths;
 import java.util.*;
 import java.util.stream.Collectors;
 
@@ -48,6 +54,10 @@ public class StuExperimentalTrainingController {
     private StuLearningAssessmentMapper stuLearningAssessmentMapper;
     @Autowired
     private ConvertUtil convertUtil;
+
+    @Value("${file.path}")
+    private String filePath;
+
     @Autowired
     private StuFiveGTrainingService stuFiveGTrainingService;
 
@@ -357,6 +367,25 @@ public class StuExperimentalTrainingController {
         return vector;
     }
 
+    @PostMapping("/creatAbstract")
+    @ApiOperation("自然语言处理:生成摘要")
+    @AnonymousAccess
+    public ResultEntity<String> creatAbstract(String userId) {
+        String info = "生成式人工智能深刻影响人们生活的方方面面，当我们使用生成式人工智能高效搜索、生成文本、提高工作效率时，生成式人工智能的潜在风险也在不知不觉中逐渐渗透。生成式人工智能可处理海量数据，但也给知识产权保护、个人隐私保护、打击虚假信息等方面带来新挑战。积极推进人工智能治理，法治与社会教育是促进守正创新的两大抓手。一方面，营造安全有序的法治环境，规范生成式人工智能服务。同时，健全生成式人工智能系统出现问题时的法律责任和赔偿机制，另一方面，加强对公众的教育与培训也至关重要，强调伦理和法律约束，以提高对这些潜在风险的认识。";
+        return new ResultEntity<>(HttpStatus.OK, info);
+    }
+    @GetMapping("/creatImg")
+    @ApiOperation("自然语言处理:生成云图")
+    @AnonymousAccess
+    public ResponseEntity<byte[]> creatImg(String userId) throws IOException {
+
+        // 模拟加载公章图片的数据（假设在硬盘上的某个路径下）
+        String imagePath = filePath + "/doc/word.png";  // 替换为你的实际路径
+        byte[] sealBytes = Files.readAllBytes(Paths.get(imagePath));
 
+        // 构建HTTP响应，设置Content-Type为image/png
+        return ResponseEntity.ok().contentType(MediaType.IMAGE_PNG).body(sealBytes);
+
+    }
 
 }

src/main/java/com/sztzjy/marketing/service/QianFanBigModuleService.java

@@ -37,4 +37,14 @@ public interface QianFanBigModuleService {
     */
 
     Flux<String> createArticleByMessage(List<Message> messageList);
+
+    /**
+        * 获取文件上传信息
+        * @param userId
+	* @param module
+	* @param schoolId
+        * @return
+    */
+
+    ResultEntity getUploadFileInfo(String userId, String module, String schoolId);
 }

src/main/java/com/sztzjy/marketing/service/impl/QianFanBigModuleServiceImpl.java

@@ -7,10 +7,13 @@ import com.alibaba.fastjson.JSON;
 import com.alibaba.fastjson.JSONObject;
 import com.sztzjy.marketing.entity.StuAiLimit;
 import com.sztzjy.marketing.entity.StuAiLimitExample;
+import com.sztzjy.marketing.entity.StuUploadImgAi;
+import com.sztzjy.marketing.entity.StuUploadImgAiExample;
 import com.sztzjy.marketing.entity.dto.ReqChatMessage;
 import com.sztzjy.marketing.entity.dto.StuCreateArticleDTO;
 import com.sztzjy.marketing.entity.dto.StuCreateImgDTO;
 import com.sztzjy.marketing.mapper.StuAiLimitMapper;
+import com.sztzjy.marketing.mapper.StuUploadImgAiMapper;
 import com.sztzjy.marketing.qianfan.Qianfan;
 import com.sztzjy.marketing.qianfan.model.chat.ChatResponse;
 import com.sztzjy.marketing.qianfan.model.chat.Message;
@@ -28,7 +31,9 @@ import org.apache.http.client.methods.HttpPost;
 import org.springframework.beans.factory.annotation.Autowired;
 import org.springframework.beans.factory.annotation.Value;
 import org.springframework.core.task.AsyncTaskExecutor;
+import org.springframework.http.HttpStatus;
 import org.springframework.stereotype.Service;
+import org.springframework.util.CollectionUtils;
 import org.springframework.util.StringUtils;
 import reactor.core.publisher.Flux;
 
@@ -191,6 +196,31 @@ public class QianFanBigModuleServiceImpl implements QianFanBigModuleService {
         return (chat(accesstoken,messageList));
     }
 
+    /**
+        * 获取文件上传信息
+        * @param userId
+	* @param module
+	* @param schoolId
+        * @return
+    */
+
+    @Autowired
+    private StuUploadImgAiMapper stuUploadImgAiMapper;
+    @Override
+    public ResultEntity getUploadFileInfo(String userId, String module, String schoolId) {
+        StuUploadImgAiExample limitExample = new StuUploadImgAiExample();
+        limitExample.createCriteria().andUserIdEqualTo(userId).andModuleEqualTo(module);
+        List<StuUploadImgAi> stuAiLimits = stuUploadImgAiMapper.selectByExample(limitExample);
+        if (CollectionUtils.isEmpty(stuAiLimits))
+        {
+            return new ResultEntity<>(HttpStatus.OK);
+        }else {
+            return new ResultEntity<>(HttpStatus.OK,stuAiLimits);
+        }
+
+
+    }
+
     //获取accessToken
     public  String getAccesstoken() throws IOException {
 

src/main/java/com/sztzjy/marketing/service/impl/StuFiveGTrainingServiceImpl.java

@@ -15,6 +15,7 @@ import com.sztzjy.marketing.mapper.StuDigServiceTradeMapper;
 import com.sztzjy.marketing.mapper.StuDigitalConfirmationMapper;
 import com.sztzjy.marketing.mapper.StuHadoopTrainMapper;
 import com.sztzjy.marketing.service.StuFiveGTrainingService;
+import com.sztzjy.marketing.service.UserBehaviorProfilingAnaService;
 import com.sztzjy.marketing.util.file.IFileUtil;
 import com.sztzjy.marketing.mapper.StuImageRecognitionTrainingMapper;
 import org.apache.logging.log4j.util.Strings;
@@ -49,6 +50,9 @@ public class StuFiveGTrainingServiceImpl implements StuFiveGTrainingService {
     @Autowired
     private StuImageRecognitionTrainingMapper stuImageRecognitionTrainingMapper;
 
+    @Autowired
+    UserBehaviorProfilingAnaService userBehaviorProfilingAnaService;
+
     @Resource
     private IFileUtil iFileUtil;
 
@@ -143,7 +147,7 @@ public class StuFiveGTrainingServiceImpl implements StuFiveGTrainingService {
                         stuHadoopTrainMapper.updateByPrimaryKeySelective(stuHadoopTrains.get(0));
                         //提交答题错误
                         Integer anInt = Convert.toInt(stuHadoopTrains.get(0).getWrongDetail());
-//                        stuDigitalIndustrializationService.practicalTrainingSubmission(userId,"大数据","Hadoop",anInt);
+                        userBehaviorProfilingAnaService.practicalTrainingSubmission(userId,"Hadoop",anInt);
                     }
                     return info;
                 }

src/main/java/com/sztzjy/marketing/service/impl/StuSubSerivceImpl.java

@@ -149,7 +149,7 @@ public class StuSubSerivceImpl implements StuSubSerivce {
     public ResultEntity machineLearningSavaAuto(StuMachineLearningDto stuMachineLearningDto) {
 
         StuMachineLearningExample example = new StuMachineLearningExample();
-        example.createCriteria().andUserIdEqualTo(stuMachineLearningDto.getUserId());
+        example.createCriteria().andUserIdEqualTo(stuMachineLearningDto.getUserId()).andModuleEqualTo("机器学习");
         List<StuMachineLearning> stuMachineLearningList = stuMachineLearningMapper.selectByExample(example);
         if (!stuMachineLearningList.isEmpty())
         {
@@ -173,6 +173,7 @@ public class StuSubSerivceImpl implements StuSubSerivce {
             learning.setUserId(stuMachineLearningDto.getUserId());
             learning.setSubState(stuMachineLearningDto.getSubState());
             learning.setId((int) IdUtil.getSnowflakeNextId());
+            learning.setModule("机器学习");
 
             stuMachineLearningMapper.insertSelective(learning);
 
@@ -188,7 +189,7 @@ public class StuSubSerivceImpl implements StuSubSerivce {
 
 
         StuMachineLearningExample example = new StuMachineLearningExample();
-        example.createCriteria().andUserIdEqualTo(userId);
+        example.createCriteria().andUserIdEqualTo(userId).andModuleEqualTo("机器学习");
         List<StuMachineLearning> stuMachineLearningList = stuMachineLearningMapper.selectByExample(example);
         if (!stuMachineLearningList.isEmpty())
         {