分值计算器保留6位小数，四舍五入

epmet-module/data-statistical/data-statistical-server/src/main/java/com/epmet/support/normalizing/batch/BatchScoreCalculator.java

@@ -3,6 +3,7 @@ package com.epmet.support.normalizing.batch;
 import com.epmet.support.normalizing.ScoreCalculator;
 
 import java.math.BigDecimal;
+import java.math.RoundingMode;
 import java.util.HashMap;
 import java.util.List;
 import java.util.stream.Collectors;
@@ -24,7 +25,7 @@ public class BatchScoreCalculator {
 
             // 循环同一个指标内的多个样本值的SampleValue列表
             List<SampleScore> scores4OneIndex = indexValueVOs.stream().map(vo -> {
-                BigDecimal score = scoreCalculator.normalize(vo.getSampleValue(), weight);
+                BigDecimal score = scoreCalculator.normalize(vo.getSampleValue(), weight).setScale(6, RoundingMode.HALF_UP);;
                 return new SampleScore(vo.getSampleId(), score);
             }).collect(Collectors.toList());
 
@@ -52,9 +53,10 @@ public class BatchScoreCalculator {
                 String sampleId = vo.getSampleId();
                 BigDecimal score = scoreCalculator.normalize(vo.getSampleValue(), weight);
                 if (scoreCountOfSamples.containsKey(sampleId)) {
-                    BigDecimal newScore = scoreCountOfSamples.get(sampleId).add(score);
+                    BigDecimal newScore = scoreCountOfSamples.get(sampleId).add(score).setScale(6, RoundingMode.HALF_UP);
                     scoreCountOfSamples.put(sampleId, newScore);
                 } else {
+                    score.setScale(6, RoundingMode.HALF_UP);
                     scoreCountOfSamples.put(sampleId, score);
                 }
             }