消费人群分析实训对接分数提交、重新实训接口

main
whb 1 year ago
parent d4852a9484
commit 0a2dbf3798

@ -290,7 +290,6 @@ public class IndustryDemandAnalysisController {
}
//fileUtil.download(response,"RFM分析方法data.xls");
}

@ -287,7 +287,6 @@ public class StuDigitalMarketingModelController {
if (list.get(0) == "" || ("序号").equals(list.get(0))) {
continue;
}
StuUserComment stuUserComment=new StuUserComment();
Integer uuid = UUID.randomUUID().toString().replaceAll("-", "").hashCode();
uuid = uuid < 0 ? -uuid : uuid;//String.hashCode() 值会为空
@ -297,7 +296,6 @@ public class StuDigitalMarketingModelController {
stuUserComment.setNickName(String.valueOf((list.get(2))));
stuUserComment.setReferenceName(String.valueOf(list.get(3)));
stuUserComment.setContentType(String.valueOf(list.get(4)));
stuUserComments.add(stuUserComment);
}
stuUserCommentMapper.addList(stuUserComments);

@ -47,29 +47,10 @@ public class UserBehaviorProfilingAnaController {
@ApiOperation("根据对应模块名重新实训")
//@AnonymousAccess
@GetMapping("/restartByTraining")
public ResultEntity restartByTraining(String module, String userId) {
public ResultEntity restartByTraining(String module, String userId,String project) {
return userBehaviorProfilingAnaService.restartByTraining(module, userId);
return userBehaviorProfilingAnaService.restartByTraining(module, userId,project);
}
//
// @PostMapping("/practicalTrainingSubmission")
// //@AnonymousAccess
// @ApiOperation("实训任务提交")
// public ResultDataEntity practicalTrainingSubmission(@ApiParam("用户ID") String userId,
// @ApiParam("任务名称") String taskName,
// @ApiParam("错误次数") Integer numberOfErrors){
// userBehaviorProfilingAnaService.practicalTrainingSubmission(userId,taskName,numberOfErrors);
// return new ResultDataEntity<>(HttpStatus.OK,"提交成功");
// }
//
//
//
// @PostMapping("/getAcademicRecord")
// //@AnonymousAccess
// @ApiOperation("学习成绩查询")
// public ResultDataEntity<List<StuScoreDetails>> getAcademicRecord(String userId){
// List<StuScoreDetails> scoreDetailsList=userBehaviorProfilingAnaService.getAcademicRecord(userId);
// return new ResultDataEntity<>(HttpStatus.OK,scoreDetailsList);
// }
}

@ -241,6 +241,9 @@ public class StuMachineLearning {
private String stepechartlist3;
@ApiModelProperty(notes = "大模块")
private String project;
public Integer getId() {
return id;
}

@ -36,7 +36,7 @@ public interface UserBehaviorProfilingAnaService {
* @return
*/
ResultEntity restartByTraining(String module, String userId);
ResultEntity restartByTraining(String module, String userId,String project);
// /**

@ -10,6 +10,7 @@ import com.sztzjy.linkCommerce.config.exception.handler.ServiceException;
import com.sztzjy.linkCommerce.entity.*;
import com.sztzjy.linkCommerce.entity.dto.StuMachineLearningInfoDTO;
import com.sztzjy.linkCommerce.mapper.*;
import com.sztzjy.linkCommerce.service.ScoreService;
import com.sztzjy.linkCommerce.service.UserBehaviorProfilingAnaService;
import com.sztzjy.linkCommerce.util.BigDecimalUtils;
import com.sztzjy.linkCommerce.util.ResultEntity;
@ -33,26 +34,10 @@ public class UserBehaviorProfilingAnaServiceImpl implements UserBehaviorProfilin
@Autowired
private StuMachineLearningMapper machineLearningMapper;
// @Resource
// BigDecimalUtils bigDecimalUtils;
//
// @Resource
// StuUserMapper stuUserMapper;
//
// @Resource
// StuTrainingTaskSubmissionDetailsMapper stuTrainingTaskSubmissionDetailsMapper;
//
// @Resource
// StuModuleDetailsMapper stuModuleDetailsMapper;
// @Resource
// TchModuleWeithMapper tchModuleWeightMapper;
//
// @Resource
// ScoringUtil scoringUtil;
// @Resource
// StuScoreDetailsMapper stuScoreDetailsMapper;
// @Resource
// StuLearningAssessmentMapper learningAssessmentMapper;
@Autowired
private ScoreService scoreService;
/**
*
@ -64,9 +49,10 @@ public class UserBehaviorProfilingAnaServiceImpl implements UserBehaviorProfilin
@Override
public ResultEntity analysisByAutoSave(StuMachineLearning learning) {
//首次提交
Boolean flag = false;
if (learning.getStuMachineLearningInfoDTOList()!=null) {
if (learning.getStuMachineLearningInfoDTOList() != null) {
flag = true;
}
@ -76,90 +62,67 @@ public class UserBehaviorProfilingAnaServiceImpl implements UserBehaviorProfilin
if (!machineLearningList.isEmpty()) {
if (machineLearningList.get(0).getSubState() == null) {
machineLearningList.get(0).setSubState(0);
}
//只是自动保存了没有提交
if (machineLearningList.get(0).getSubState() == 1) {
return new ResultEntity<>(HttpStatus.OK, "保存成功!");
}
//已经有数据
StuMachineLearning machineLearning = machineLearningList.get(0);
Integer id = machineLearning.getId();
BeanUtils.copyProperties(learning, machineLearning);
machineLearning.setId(id);
if (flag)
{
//讲数据转为json
String json = JSONObject.toJSONString(learning.getStuMachineLearningInfoDTOList());
machineLearning.setActiveUserAnalysis(json);
}
if (StringUtils.hasText(learning.getStepechartlist1()))
{
String json = JSONObject.toJSONString(learning.getStepechartlist1());
machineLearning.setStepechartlist1(json);
return new ResultEntity<>(HttpStatus.ACCEPTED, "请勿重复提交!");
} else {
StuMachineLearning stuMachineLearning = machineLearningList.get(0);
Integer id = stuMachineLearning.getId();
BeanUtils.copyProperties(learning, stuMachineLearning);
stuMachineLearning.setId(id);
machineLearningMapper.updateByPrimaryKeyWithBLOBs(stuMachineLearning);
if (learning.getSubState() == 1) {
BigDecimal aDouble = BigDecimal.valueOf(100).subtract(Convert.toBigDecimal(learning.getErrorField()));
//算分
scoreService.insertScore(learning.getUserId(), learning.getProject(), learning.getModule(), aDouble, null);
}
}
}
if (StringUtils.hasText(learning.getStepechartlist2()))
{
String json = JSONObject.toJSONString(learning.getStepechartlist2());
machineLearning.setStepechartlist2(json);
}
if (StringUtils.hasText(learning.getStepechartlist3()))
{
String json = JSONObject.toJSONString(learning.getStepechartlist3());
machineLearning.setStepechartlist3(json);
}
//首次提交
int i = UUID.randomUUID().hashCode();
i = i < 0 ? -i : i;
//第一次保存
learning.setId(i);
if (flag) {
//讲数据转为json
String json = JSONObject.toJSONString(learning.getStuMachineLearningInfoDTOList());
learning.setActiveUserAnalysis(json);
machineLearningMapper.updateByPrimaryKeyWithBLOBs(machineLearning);
}
if (StringUtils.hasText(learning.getStepechartlist1())) {
String json = JSONObject.toJSONString(learning.getStepechartlist1());
learning.setStepechartlist1(json);
}
return new ResultEntity<>(HttpStatus.OK, "保存成功!");
if (StringUtils.hasText(learning.getStepechartlist2())) {
String json = JSONObject.toJSONString(learning.getStepechartlist2());
learning.setStepechartlist2(json);
}
} else {
if (StringUtils.hasText(learning.getStepechartlist3())) {
String json = JSONObject.toJSONString(learning.getStepechartlist3());
learning.setStepechartlist3(json);
}
int i = UUID.randomUUID().hashCode();
i = i < 0 ? -i : i;
machineLearningMapper.insertSelective(learning);
//第一次保存
learning.setId(i);
if (flag)
{
//讲数据转为json
String json = JSONObject.toJSONString(learning.getStuMachineLearningInfoDTOList());
learning.setActiveUserAnalysis(json);
if (learning.getSubState() == 1) {
}
if (StringUtils.hasText(learning.getStepechartlist1()))
{
String json = JSONObject.toJSONString(learning.getStepechartlist1());
learning.setStepechartlist1(json);
}
BigDecimal aDouble = BigDecimal.valueOf(100).subtract(Convert.toBigDecimal(learning.getErrorField()));
//算分
scoreService.insertScore(learning.getUserId(), learning.getProject(), learning.getModule(), aDouble, null);
}
if (StringUtils.hasText(learning.getStepechartlist2()))
{
String json = JSONObject.toJSONString(learning.getStepechartlist2());
learning.setStepechartlist2(json);
}
return new ResultEntity<>(HttpStatus.OK, "保存成功!");
if (StringUtils.hasText(learning.getStepechartlist3()))
{
String json = JSONObject.toJSONString(learning.getStepechartlist3());
learning.setStepechartlist3(json);
}
machineLearningMapper.insertSelective(learning);
}
return new ResultEntity<>(HttpStatus.OK, "保存成功!");
}
}
/**
*
@ -213,12 +176,14 @@ public class UserBehaviorProfilingAnaServiceImpl implements UserBehaviorProfilin
*/
@Override
public ResultEntity restartByTraining(String module, String userId) {
public ResultEntity restartByTraining(String module, String userId,String project) {
//删除做题记录 第二次成绩是否有效?
StuMachineLearningExample machineLearningExample = new StuMachineLearningExample();
machineLearningExample.createCriteria().andUserIdEqualTo(userId).andModuleEqualTo(module);
machineLearningMapper.deleteByExample(machineLearningExample);
int i = machineLearningMapper.deleteByExample(machineLearningExample);
scoreService.deleteScore(userId,project,userId);
return new ResultEntity<>(HttpStatus.OK, "重新实训成功!");
}

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