获取指定员工的六维度评分

airport-ledger/src/main/java/com/sundot/airport/ledger/service/IEmployeePortraitService.java

@@ -28,9 +28,9 @@ public interface IEmployeePortraitService {
     /**
      * 获取指定员工的六维度评分
      *
-     * @param personName 员工姓名（精确）
+     * @param personNameList 员工姓名（精确）
      * @param beginTime  起始时间 yyyy-MM-dd，null 则不限
      * @param endTime    结束时间 yyyy-MM-dd，null 则不限
      */
-    BigDecimal getPortraitTotalScore(String personName, String beginTime, String endTime);
+    Map<String, BigDecimal> getPortraitTotalScore(List<String> personNameList, String beginTime, String endTime);
 }

airport-ledger/src/main/java/com/sundot/airport/ledger/service/impl/EmployeePortraitServiceImpl.java

@@ -452,10 +452,17 @@ public class EmployeePortraitServiceImpl implements IEmployeePortraitService {
     }
 
     @Override
-    public BigDecimal getPortraitTotalScore(String personName, String beginTime, String endTime) {
+    public Map<String, BigDecimal> getPortraitTotalScore(List<String> personNameList, String beginTime, String endTime) {
+        Map<String, BigDecimal> result = new HashMap<>();
+        // 加载维度定义
+        ScoreDimension dq = new ScoreDimension();
+        dq.setStatus("0");
+        dq.setOrg(ScoreLevelEnum.PERSON.getCode());
+        List<ScoreDimension> dims = scoreDimensionMapper.selectList(dq);
+        dims.sort(Comparator.comparing(d -> d.getSortOrder() == null ? 999 : d.getSortOrder()));
+
         // 加载全部事件，按姓名 LIKE 过滤（支持逗号分隔多人）
         ScoreEvent eventQuery = new ScoreEvent();
-        eventQuery.setPersonName(personName);
         if (beginTime != null && !beginTime.isEmpty()) {
             eventQuery.getParams().put("beginTime", beginTime);
         }
@@ -464,43 +471,39 @@ public class EmployeePortraitServiceImpl implements IEmployeePortraitService {
         }
         List<ScoreEvent> events = scoreEventMapper.selectList(eventQuery);
 
-        // 精确匹配（防止逗号多人字段的误匹配）
-        Map<Long, BigDecimal> dimMap = new HashMap<>();
-        for (ScoreEvent e : events) {
-            Long dimId = e.getDimensionId();
-            if (dimId == null) continue;
-            String raw = e.getPersonName();
-            if (raw == null) continue;
-            boolean matched = false;
-            for (String n : raw.split("[,，]")) {
-                if (personName.equals(n.trim())) {
-                    matched = true;
-                    break;
+        personNameList.forEach(personName -> {
+            // 精确匹配（防止逗号多人字段的误匹配）
+            Map<Long, BigDecimal> dimMap = new HashMap<>();
+            for (ScoreEvent e : events) {
+                Long dimId = e.getDimensionId();
+                if (dimId == null) continue;
+                String raw = e.getPersonName();
+                if (raw == null) continue;
+                boolean matched = false;
+                for (String n : raw.split("[,，]")) {
+                    if (personName.equals(n.trim())) {
+                        matched = true;
+                        break;
+                    }
                 }
+                if (!matched) continue;
+                BigDecimal val = e.getTotalScore() != null ? e.getTotalScore() : BigDecimal.ZERO;
+                dimMap.merge(dimId, val, BigDecimal::add);
             }
-            if (!matched) continue;
-            BigDecimal val = e.getTotalScore() != null ? e.getTotalScore() : BigDecimal.ZERO;
-            dimMap.merge(dimId, val, BigDecimal::add);
-        }
-
-        // 加载维度定义
-        ScoreDimension dq = new ScoreDimension();
-        dq.setStatus("0");
-        dq.setOrg(ScoreLevelEnum.PERSON.getCode());
-        List<ScoreDimension> dims = scoreDimensionMapper.selectList(dq);
-        dims.sort(Comparator.comparing(d -> d.getSortOrder() == null ? 999 : d.getSortOrder()));
 
-        BigDecimal total = BigDecimal.ZERO;
-        for (ScoreDimension dim : dims) {
-            BigDecimal eventScore = dimMap.getOrDefault(dim.getId(), BigDecimal.ZERO);
-            BigDecimal base = dim.getBaseScore() != null ? dim.getBaseScore() : BigDecimal.valueOf(80);
-            BigDecimal dimScore = base.add(eventScore);
-            BigDecimal weight = dim.getWeight() != null ? dim.getWeight() : BigDecimal.ZERO;
-            BigDecimal contribution = dimScore.multiply(weight)
-                    .divide(BigDecimal.valueOf(100), 2, RoundingMode.HALF_UP);
-            total = total.add(contribution);
-        }
+            BigDecimal total = BigDecimal.ZERO;
+            for (ScoreDimension dim : dims) {
+                BigDecimal eventScore = dimMap.getOrDefault(dim.getId(), BigDecimal.ZERO);
+                BigDecimal base = dim.getBaseScore() != null ? dim.getBaseScore() : BigDecimal.valueOf(80);
+                BigDecimal dimScore = base.add(eventScore);
+                BigDecimal weight = dim.getWeight() != null ? dim.getWeight() : BigDecimal.ZERO;
+                BigDecimal contribution = dimScore.multiply(weight)
+                        .divide(BigDecimal.valueOf(100), 2, RoundingMode.HALF_UP);
+                total = total.add(contribution);
+            }
 
-        return total.setScale(1, RoundingMode.HALF_UP);
+            result.put(personName, total.setScale(1, RoundingMode.HALF_UP));
+        });
+        return result;
     }
 }