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src/main/java/cn/breeze/elleai/application/service/AppExamineService.java

@@ -26,6 +26,8 @@ import org.springframework.data.redis.core.StringRedisTemplate;
 import org.springframework.stereotype.Component;
 import org.springframework.transaction.annotation.Transactional;
 
+import java.math.BigDecimal;
+import java.math.RoundingMode;
 import java.util.*;
 import java.util.concurrent.TimeUnit;
 import java.util.function.Function;
@@ -562,7 +564,8 @@ public class AppExamineService {
             List<ExamineDetailRecordResponseModel> detailRecordList = examineService.examineDetailRecordList(req);
             if(CollectionUtil.isNotEmpty(detailRecordList)) {
                 double totalScore = detailRecordList.stream().filter(v -> Objects.nonNull(v.getScore())).mapToDouble(ExamineDetailRecordResponseModel::getScore).sum();
-                Double avgScore = totalScore / detailRecordList.size();
+                BigDecimal avgScore = new BigDecimal(totalScore / detailRecordList.size());
+                avgScore = avgScore.setScale(2, RoundingMode.HALF_UP);
                 // 题目信息
                 List<Integer> qaIdList = detailRecordList.stream().map(ExamineDetailRecordResponseModel::getQaId).collect(Collectors.toList());
                 List<ExamineQaResponseModel> examineQaList = examineService.examineQaList(qaIdList);

src/main/java/cn/breeze/elleai/job/SingleJob.java

@@ -25,6 +25,8 @@ import org.springframework.scheduling.annotation.Async;
 import org.springframework.scheduling.quartz.QuartzJobBean;
 import org.springframework.stereotype.Component;
 
+import java.math.BigDecimal;
+import java.math.RoundingMode;
 import java.util.List;
 import java.util.Map;
 import java.util.Objects;
@@ -104,7 +106,8 @@ public class SingleJob extends QuartzJobBean {
                 if(CollectionUtil.isNotEmpty(detailRecordList)) {
                     // 计算综合评分
                     double totalScore = detailRecordList.stream().filter(v -> Objects.nonNull(v.getScore())).mapToDouble(ExamineDetailRecordResponseModel::getScore).sum();
-                    Double avgScore = totalScore / detailRecordList.size();
+                    BigDecimal avgScore = new BigDecimal(totalScore / detailRecordList.size());
+                    avgScore = avgScore.setScale(2, RoundingMode.HALF_UP);
 
                     // 执行综合点评
                     String overallEvaluation = extensionService.run4TotalEvaluate(businessNo, job.getUserId(), businessNo);