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@@ -109,10 +109,11 @@ public class GroupPortraitServiceImpl implements IGroupPortraitService {
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dims.sort(Comparator.comparing(d -> d.getSortOrder() == null ? 999 : d.getSortOrder()));
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List<GroupPortraitDTO.DimensionScore> result = new ArrayList<>();
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-
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+ String beginTime = query.getStartDate()+" 00:00:00";
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+ String endTime = query.getEndDate()+" 23:59:59";
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for (ScoreDimension dim : dims) {
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// 3. 通过dimRelationship找到下级维度,计算下级平均值
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- BigDecimal lowerLevelAverage = calculateLowerLevelAverage(dim, query.getStartDate(), query.getEndDate());
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+ BigDecimal lowerLevelAverage = calculateLowerLevelAverage(dim,beginTime , endTime,dept.getDeptId());
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// 4. 获取基础分(如果下级有值就不用基础分)
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BigDecimal baseScore = dim.getBaseScore() != null ? dim.getBaseScore() : BigDecimal.ZERO;
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@@ -123,8 +124,8 @@ public class GroupPortraitServiceImpl implements IGroupPortraitService {
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: baseScore;
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// 6. 计算当前层级特有加减分
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- Map<String, Object> specialScores = calculateSpecialScores(dim.getId(), query.getDeptId(),
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- query.getStartDate(), query.getEndDate(),org);
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+ Map<String, Object> specialScores = calculateSpecialScores(dim.getId(), query.getDeptId(),
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+ beginTime, endTime,org);
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BigDecimal addScore = (BigDecimal) specialScores.getOrDefault("add", BigDecimal.ZERO);
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BigDecimal subtractScore = (BigDecimal) specialScores.getOrDefault("subtract", BigDecimal.ZERO);
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BigDecimal specialTotal = addScore.subtract(subtractScore);
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@@ -194,15 +195,15 @@ public class GroupPortraitServiceImpl implements IGroupPortraitService {
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}
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/**
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- * 计算下级维度平均值(递归查找)
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+ * 计算下级维度平均值
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* 层级关系:部门(DEPT) → 队/班组(TEAM) → 小组(GROUP) → 人员(PERSON)
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* 递进逻辑:
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- * - org=DEPT → 查询org=TEAM的维度 → 继续递归找org=GROUP → 继续递归找org=PERSON
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- * - org=TEAM → 查询org=GROUP的维度 → 继续递归找org=PERSON
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+ * - org=DEPT → 获取子班组列表 → 计算每个班组的最终分数 → 求平均值
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+ * - org=TEAM → 获取子小组列表 → 计算每个小组的最终分数 → 求平均值
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* - org=GROUP → 查询org=PERSON的维度 → 计算人员事件平均
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* - org=PERSON → 最底层,直接返回0
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*/
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- private BigDecimal calculateLowerLevelAverage(ScoreDimension currentDim, String beginTime, String endTime) {
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+ private BigDecimal calculateLowerLevelAverage(ScoreDimension currentDim, String beginTime, String endTime, Long deptId) {
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String dimRelationship = currentDim.getDimRelationship();
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String currentOrg = currentDim.getOrg();
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@@ -217,7 +218,6 @@ public class GroupPortraitServiceImpl implements IGroupPortraitService {
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return BigDecimal.ZERO;
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}
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-
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// 3. 查询下一级维度(通过dimRelationship匹配)
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ScoreDimension query = new ScoreDimension();
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query.setDimRelationship(dimRelationship);
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@@ -236,19 +236,78 @@ public class GroupPortraitServiceImpl implements IGroupPortraitService {
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// 4. 根据下一级的org决定如何处理
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if (ScoreLevelEnum.PERSON.getCode().equals(lowerOrg)) {
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// 下一级是人员维度,计算人员事件平均值
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- return calculatePersonDimensionAverage(lowerDim, beginTime, endTime);
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+ return calculatePersonDimensionAverage(lowerDim, beginTime, endTime, deptId);
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} else {
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- // 下一级是组织维度(TEAM或GROUP),需要继续递归查找更下一级
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- // 例如:部门(DEPT)找队(TEAM),队(TEAM)还要继续找小组(GROUP)
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- return calculateLowerLevelAverage(lowerDim, beginTime, endTime);
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+ // 下一级是 TEAM 或 GROUP 层级,需要获取子部门并计算每个子部门的最终分数
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+ return calculateChildDeptAverage(lowerDim, beginTime, endTime, deptId);
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}
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}
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/**
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+ * 计算子部门的平均分数
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+ * 对于 TEAM 和 GROUP 层级,需要获取子部门列表,计算每个子部门的最终分数,然后求平均
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+ */
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+ private BigDecimal calculateChildDeptAverage(ScoreDimension lowerDim, String beginTime, String endTime, Long deptId) {
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+ // 获取子部门列表
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+ List<SysDept> childDepts = sysDeptMapper.selectChildrenDeptById(deptId);
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+
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+ if (childDepts == null || childDepts.isEmpty()) {
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+ log.info("部门 {} 没有子部门", deptId);
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+ return BigDecimal.ZERO;
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+ }
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+
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+ BigDecimal totalScore = BigDecimal.ZERO;
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+ int count = 0;
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+
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+ for (SysDept childDept : childDepts) {
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+ // 计算该子部门在当前维度下的最终分数
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+ BigDecimal childScore = calculateChildDeptDimensionScore(lowerDim, beginTime, endTime, childDept.getDeptId());
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+ if (childScore.compareTo(BigDecimal.ZERO) > 0) {
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+ totalScore = totalScore.add(childScore);
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+ count++;
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+ }
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+ }
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+
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+ if (count == 0) {
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+ return BigDecimal.ZERO;
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+ }
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+
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+ return totalScore.divide(BigDecimal.valueOf(count), 2, RoundingMode.HALF_UP);
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+ }
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+
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+ /**
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+ * 计算单个子部门在指定维度下的最终分数
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+ * 最终分数 = 下级平均值(或基础分) + 特有加减分
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+ */
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+ private BigDecimal calculateChildDeptDimensionScore(ScoreDimension dim, String beginTime, String endTime, Long deptId) {
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+ String currentOrg = dim.getOrg();
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+
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+ // 1. 递归计算下级平均值
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+ BigDecimal lowerLevelAverage = calculateLowerLevelAverage(dim, beginTime, endTime, deptId);
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+
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+ // 2. 获取基础分(如果下级有值就不用基础分)
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+ BigDecimal baseScore = dim.getBaseScore() != null ? dim.getBaseScore() : BigDecimal.ZERO;
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+
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+ // 3. 决定使用下级平均值还是基础分
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+ BigDecimal averageScore = lowerLevelAverage.compareTo(BigDecimal.ZERO) > 0
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+ ? lowerLevelAverage
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+ : baseScore;
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+
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+ // 4. 计算当前层级特有加减分
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+ Map<String, Object> specialScores = calculateSpecialScores(dim.getId(), deptId, beginTime, endTime, currentOrg);
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+ BigDecimal addScore = (BigDecimal) specialScores.getOrDefault("add", BigDecimal.ZERO);
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+ BigDecimal subtractScore = (BigDecimal) specialScores.getOrDefault("subtract", BigDecimal.ZERO);
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+ BigDecimal specialTotal = addScore.subtract(subtractScore);
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+
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+ // 5. 最终分值 = 下级平均值(或基础分) + 特有合计
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+ return averageScore.add(specialTotal);
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+ }
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+
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+ /**
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* 计算人员维度平均值
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* 最底层(org=4),查询该维度下的所有人员事件,计算平均分数
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*/
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- private BigDecimal calculatePersonDimensionAverage(ScoreDimension dimension, String beginTime, String endTime) {
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+ private BigDecimal calculatePersonDimensionAverage(ScoreDimension dimension, String beginTime, String endTime,Long deptId) {
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// 查询该维度下的所有事件
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ScoreEvent eventQuery = new ScoreEvent();
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@@ -259,11 +318,13 @@ public class GroupPortraitServiceImpl implements IGroupPortraitService {
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if (endTime != null && !endTime.isEmpty()) {
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eventQuery.getParams().put("endTime", endTime);
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}
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+ eventQuery.setGroupId(deptId);
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List<ScoreEvent> events = scoreEventMapper.selectList(eventQuery);
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+ BigDecimal base = dimension.getBaseScore() != null ? dimension.getBaseScore() : BigDecimal.valueOf(80);
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if (events == null || events.isEmpty()) {
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log.info("人员维度无事件数据");
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- return BigDecimal.ZERO;
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+ return base;
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}
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// 按人员分组统计总分
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@@ -286,14 +347,12 @@ public class GroupPortraitServiceImpl implements IGroupPortraitService {
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if (personScores.isEmpty()) {
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return BigDecimal.ZERO;
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}
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+ BigDecimal bigDecimal = BigDecimal.valueOf(personScores.size());
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BigDecimal sum = personScores.values().stream().reduce(BigDecimal.ZERO, BigDecimal::add);
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- BigDecimal base = dimension.getBaseScore() != null ? dimension.getBaseScore() : BigDecimal.valueOf(80);
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- BigDecimal dimScore = base.add(sum);
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- BigDecimal weight = dimension.getWeight() != null ? dimension.getWeight() : BigDecimal.ZERO;
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- BigDecimal contribution = dimScore.multiply(weight)
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- .divide(BigDecimal.valueOf(100), 2, RoundingMode.HALF_UP);
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- return contribution;
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+
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+ BigDecimal dimScore = base.multiply(bigDecimal).add(sum);
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+ return dimScore.divide(bigDecimal, 2, RoundingMode.HALF_UP);
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}
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/**
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@@ -328,7 +387,13 @@ public class GroupPortraitServiceImpl implements IGroupPortraitService {
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// 查询该部门在该维度的特有事件(根据org参数筛选)
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ScoreEvent eventQuery = new ScoreEvent();
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eventQuery.setDimensionId(dimensionId);
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- eventQuery.setDeptId(deptId);
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+ if(ScoreLevelEnum.GROUP.getCode().equals(org)){
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+ eventQuery.setGroupId(deptId);
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+ }else if(ScoreLevelEnum.TEAM.getCode().equals(org)){
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+ eventQuery.setTeamId(deptId);
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+ }else if(ScoreLevelEnum.DEPT.getCode().equals(org)){
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+ eventQuery.setDeptId(deptId);
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+ }
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eventQuery.setOrg(org); // 使用传入的org参数
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if (beginTime != null && !beginTime.isEmpty()) {
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eventQuery.getParams().put("beginTime", beginTime);
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@@ -411,4 +476,4 @@ public class GroupPortraitServiceImpl implements IGroupPortraitService {
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.reduce(BigDecimal.ZERO, BigDecimal::add);
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return total.setScale(2, RoundingMode.HALF_UP);
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}
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-}
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+}
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