fix: 完善问题赋分

src/main/java/com/biutag/supervision/controller/sensitivePerception/ProfileDepartController.java

@@ -154,14 +154,13 @@ public class ProfileDepartController {
             radarIndicatorItem.setName(item.getLabel());
             return radarIndicatorItem;
         }).toList();
-        List<Integer> problemTypeRadarData = problemTypeBarList.stream().map(BarItem::getValue).toList();
+
         profileDepart.setProblemTypeRadarIndicator(problemTypeRadarIndicator);
-        profileDepart.setProblemTypeRadarData(problemTypeRadarData);
-        // 突出问题排名
-        profileDepart.setProblemTypeBarList(profileDepartMapper.selectThirdProblemType(departId, beginTime, endTime));
+
         List<Object> result = negativeScoreService.calculateDepartScore(beginTime, endTime, departId);
         profileDepart.setScore((BigDecimal) result.get(0));
         profileDepart.setExpression(result.get(1).toString());
+        profileDepart.setRemarks(result.get(2).toString());
         return Result.success(profileDepart);
     }
 

src/main/java/com/biutag/supervision/controller/sensitivePerception/ProfilePoliceController.java

@@ -154,6 +154,8 @@ public class ProfilePoliceController {
         List<Object> result = negativeScoreService.calculatePoliceScore(beginTime, endTime, idCode);
         profilePolice.setScore((BigDecimal) result.get(0));
         profilePolice.setExpression(result.get(1).toString());
+
+
         return Result.success(profilePolice);
     }
 

src/main/java/com/biutag/supervision/pojo/domain/ProfileDepart.java

@@ -22,6 +22,8 @@ public class ProfileDepart {
 
     private String expression;
 
+    private String remarks;
+
     private DepartInfo departInfo = new DepartInfo();
     private NegativeInfo negativeInfo = new NegativeInfo();
     private List<PieItem> problemSourcesList = new ArrayList<>();
@@ -29,8 +31,9 @@ public class ProfileDepart {
     private List<BarItem> policeBarList = new ArrayList<>();
     // 雷达图
     private List<RadarIndicatorItem> problemTypeRadarIndicator = new ArrayList<>();
-    private List<Integer> problemTypeRadarData = new ArrayList<>();
-    private List<BarItem> problemTypeBarList = new ArrayList<>();
+    private List<Integer> scoreRadarData = new ArrayList<>();
+    private List<BarItem> scoreTypeBarList = new ArrayList<>();
+    private List<BarItem> weightTypeBarList = new ArrayList<>();
 
     @Setter
     @Getter

src/main/java/com/biutag/supervision/pojo/domain/ProfilePolice.java

@@ -21,6 +21,8 @@ public class ProfilePolice {
 
     private String expression;
 
+    private String remarks;
+
     private SupPolice policeInfo = new SupPolice();
     private NegativeInfo negativeInfo = new NegativeInfo();
     private List<PieItem> problemSourcesList = new ArrayList<>();

src/main/java/com/biutag/supervision/service/NegativeScoreService.java

@@ -155,17 +155,17 @@ public class NegativeScoreService {
         if (sd == 0) {
             return 0;
         }
-        List<BusinessPolice> businessPolices = businessPoliceService.list(beginTime, endTime, businessTypeCode);
+        List<BusinessDepart> businessDeparts = businessDepartService.list(beginTime, endTime, businessTypeCode);
         // 总业务量
-        int totalBusinessSize = businessPolices.stream().mapToInt(BusinessPolice::getNumber).sum();
+        int totalBusinessSize = businessDeparts.stream().mapToInt(BusinessDepart::getNumber).sum();
         // 平均问题发生率
         double avgRate = totalBusinessSize == 0? 0: NumberUtil.div(businessScorePolice.size(), totalBusinessSize);
         // 个人问题数
-        long personSize = businessScorePolice.stream().filter(item -> police.getIdCode().equals(item.getIdCode())).count();
-        // 个人业务量
-        long personBusinessSize = businessPolices.stream().filter(item -> police.getName().equals(item.getPoliceName()) && police.getEmpNo().equals(item.getEmpNo())).count();
+        long personSize = businessScorePolice.stream().filter(item -> police.getOrgId().equals(item.getIdCode())).count();
+        // 单位业务量
+        long departBusinessSize = businessDeparts.stream().filter(item -> police.getOrgId().equals(item.getDepartId())).count();
         // 个人问题发生率
-        double personRate = personBusinessSize == 0? 0: NumberUtil.div(personSize, personBusinessSize);
+        double personRate = departBusinessSize == 0? 0: NumberUtil.div(personSize, departBusinessSize);
         return NumberUtil.div(personRate - avgRate, sd);
     }
 
@@ -226,10 +226,12 @@ public class NegativeScoreService {
         List<NegativeScorePolice> scorePolices = negativeScorePoliceService.list(beginTime, endTime, depart.getStatisticsGroupId());
         Double totalScore = scorePolices.stream().mapToDouble(NegativeScorePolice::getScore).sum();
         List<String> expressionArr = new ArrayList<>();
+        StringBuilder remarks = new StringBuilder();
         double policeScore = Arrays.stream(BusinessTypeEnum.values()).mapToDouble(businessTypeEnum -> {
             List<NegativeScorePolice> businessScorePolice = scorePolices.stream().filter(item -> item.getBusinessTypeCode().equals(businessTypeEnum.getValue())).toList();
             // 业务涉及人数
             int policeSize = businessScorePolice.stream().map(NegativeScorePolice::getIdCode).collect(Collectors.toSet()).size();
+            remarks.append(String.format("业务设计人数 %s", policeSize));
             // 业务问题数
             int businessSize = businessScorePolice.size();
             //---------------------------------------------------------
@@ -257,11 +259,17 @@ public class NegativeScoreService {
             Double score = businessScorePolice.stream().mapToDouble(NegativeScorePolice::getScore).sum();
             double businessWeight = calculateBusinessWeight(totalScore, score);
             expressionArr.add(String.format("(%s * %s)", businessScore, businessWeight));
+            remarks.append(String.format("%s：", businessTypeEnum.getLabel())).append("\n");
+            remarks.append(String.format("业务涉及人数 %s", policeSize)).append("\n");
+            remarks.append(String.format("业务问题数 %s", businessSize)).append("\n");
+            remarks.append(String.format("平均问题数 %s", avgNumber)).append("\n");
+            remarks.append(String.format("业务标准差 %s", sd)).append("\n");
+            remarks.append(String.format("业务差异值 %s", diff)).append("\n");
             return NumberUtil.mul(businessScore, businessWeight);
         }).sum();
         BigDecimal score = NumberUtil.roundHalfEven(policeScore, 2);
         String expression = String.join(" + ", expressionArr);
-        return List.of(score, expression);
+        return List.of(score, expression, remarks);
     }
 
     /**
@@ -277,6 +285,7 @@ public class NegativeScoreService {
         List<NegativeScoreDepart> scoreDeparts = negativeScoreDepartService.list(beginTime, endTime, depart.getStatisticsGroupId());
         Double totalScore = scoreDeparts.stream().mapToDouble(NegativeScoreDepart::getScore).sum();
         List<String> expressionArr = new ArrayList<>();
+        StringBuilder remarks = new StringBuilder();
         double policeScore = Arrays.stream(BusinessTypeEnum.values()).mapToDouble(businessTypeEnum -> {
             List<NegativeScoreDepart> businessScoreDeparts = scoreDeparts.stream().filter(item -> item.getBusinessTypeCode().equals(businessTypeEnum.getValue())).toList();
             // 业务涉及人数
@@ -303,6 +312,12 @@ public class NegativeScoreService {
             Double score = businessScoreDeparts.stream().mapToDouble(NegativeScoreDepart::getScore).sum();
             double businessWeight = calculateBusinessWeight(totalScore, score);
             expressionArr.add(String.format("(%s * %s)", businessScore, businessWeight));
+            remarks.append(String.format("%s：", businessTypeEnum.getLabel())).append("\n");
+            remarks.append(String.format("业务涉及人数 %s", departSize)).append("\n");
+            remarks.append(String.format("当前部门问题数 %s", personalSize)).append("\n");
+            remarks.append(String.format("平均问题数 %s", avgNumber)).append("\n");
+            remarks.append(String.format("业务标准差 %s", sd)).append("\n");
+            remarks.append(String.format("业务差异值 %s", diff)).append("\n");
             return NumberUtil.mul(businessScore, businessWeight);
         }).sum();
         BigDecimal score = NumberUtil.roundHalfEven(policeScore, 2);