Merge branch 'feat/dev_251201' of https://10.100.0.10:3210/dabeeo/kamco-dabeeo-backoffice into feat/dev_251201

# Conflicts:
#	src/main/java/com/kamco/cd/kamcoback/label/LabelAllocateApiController.java
#	src/main/java/com/kamco/cd/kamcoback/label/service/LabelAllocateService.java
#	src/main/java/com/kamco/cd/kamcoback/postgres/core/LabelAllocateCoreService.java
#	src/main/java/com/kamco/cd/kamcoback/postgres/repository/label/LabelAllocateRepositoryImpl.java

src/main/java/com/kamco/cd/kamcoback/label/service/LabelAllocateService.java

@@ -38,22 +38,22 @@ public class LabelAllocateService {
   /**
    * 도엽 기준 asc sorting 해서 할당 수만큼 배정하는 로직
    *
-   * @param stage            회차
-   * @param targetUsers      라벨러 목록
+   * @param stage 회차
+   * @param targetUsers 라벨러 목록
    * @param targetInspectors 검수자 목록
    */
   @Transactional
   public ApiResponseDto.ResponseObj allocateAsc(
-    Integer stage,
-    List<TargetUser> targetUsers,
-    List<String> targetInspectors,
-    Integer compareYyyy,
-    Integer targetYyyy) {
+      Integer stage,
+      List<TargetUser> targetUsers,
+      List<String> targetInspectors,
+      Integer compareYyyy,
+      Integer targetYyyy) {
     Long lastId = null;
 
     // geom 잔여건수 조회
     Long chargeCnt =
-      labelAllocateCoreService.findLabelUnAssignedCnt(stage, compareYyyy, targetYyyy);
+        labelAllocateCoreService.findLabelUnAssignedCnt(stage, compareYyyy, targetYyyy);
     if (chargeCnt <= 0) {
       return new ApiResponseDto.ResponseObj(ApiResponseCode.DUPLICATE_DATA, "이미 배정완료된 회차 입니다.");
     }
@@ -61,15 +61,15 @@ public class LabelAllocateService {
     Long totalDemand = targetUsers.stream().mapToLong(TargetUser::getDemand).sum();
     if (!Objects.equals(chargeCnt, totalDemand)) {
       return new ApiResponseDto.ResponseObj(
-        ApiResponseCode.BAD_REQUEST, "총 잔여건수와 요청 값의 합계가 맞지 않습니다.");
+          ApiResponseCode.BAD_REQUEST, "총 잔여건수와 요청 값의 합계가 맞지 않습니다.");
     }
 
     List<AllocateInfoDto> allIds =
-      labelAllocateCoreService.fetchNextIds(lastId, chargeCnt, compareYyyy, targetYyyy, stage);
+        labelAllocateCoreService.fetchNextIds(lastId, chargeCnt, compareYyyy, targetYyyy, stage);
 
     // MapSheetAnalInferenceEntity analUid 가져오기
     Long analUid =
-      labelAllocateCoreService.findMapSheetAnalInferenceUid(compareYyyy, targetYyyy, stage);
+        labelAllocateCoreService.findMapSheetAnalInferenceUid(compareYyyy, targetYyyy, stage);
 
     int index = 0;
     for (TargetUser target : targetUsers) {
@@ -115,52 +115,55 @@ public class LabelAllocateService {
   /**
    * 작업자 통계 조회
    *
-   * @param analUid    분석 ID
+   * @param analUid 분석 ID
    * @param workerType 작업자 유형 (LABELER/INSPECTOR)
-   * @param search     검색어 (이름 또는 사번)
-   * @param sortType   정렬 조건
-   * @param page       페이지 번호 (0부터 시작)
-   * @param size       페이지 크기
+   * @param search 검색어 (이름 또는 사번)
+   * @param sortType 정렬 조건
+   * @param page 페이지 번호 (0부터 시작)
+   * @param size 페이지 크기
    * @return 작업자 목록 및 통계
    */
   public WorkerListResponse getWorkerStatistics(
-    Long analUid,
-    String workerType,
-    String search,
-    String sortType,
-    Integer page,
-    Integer size) {
+      Long analUid,
+      String workerType,
+      String search,
+      String sortType,
+      Integer page,
+      Integer size) {
+
+    // 프로젝트 정보 조회 (analUid가 있을 때만)
+    var projectInfo = labelAllocateCoreService.findProjectInfo(analUid);
 
     // 작업 진행 현황 조회
     var progressInfo = labelAllocateCoreService.findWorkProgressInfo(analUid);
 
     // 작업자 통계 조회
     List<WorkerStatistics> workers =
-      labelAllocateCoreService.findWorkerStatistics(
-        analUid, workerType, search, sortType);
+        labelAllocateCoreService.findWorkerStatistics(
+            analUid, workerType, search, sortType);
 
     // 각 작업자별 3일치 처리량 조회
     LocalDate today = LocalDate.now();
     for (WorkerStatistics worker : workers) {
       Long day1Count =
-        labelAllocateCoreService.findDailyProcessedCount(
-          worker.getWorkerId(), workerType, today.minusDays(1), analUid);
+          labelAllocateCoreService.findDailyProcessedCount(
+              worker.getWorkerId(), workerType, today.minusDays(1), analUid);
       Long day2Count =
-        labelAllocateCoreService.findDailyProcessedCount(
-          worker.getWorkerId(), workerType, today.minusDays(2), analUid);
+          labelAllocateCoreService.findDailyProcessedCount(
+              worker.getWorkerId(), workerType, today.minusDays(2), analUid);
       Long day3Count =
-        labelAllocateCoreService.findDailyProcessedCount(
-          worker.getWorkerId(), workerType, today.minusDays(3), analUid);
+          labelAllocateCoreService.findDailyProcessedCount(
+              worker.getWorkerId(), workerType, today.minusDays(3), analUid);
 
       long average = (day1Count + day2Count + day3Count) / 3;
 
       DailyHistory history =
-        DailyHistory.builder()
-          .day1Ago(day1Count)
-          .day2Ago(day2Count)
-          .day3Ago(day3Count)
-          .average(average)
-          .build();
+          DailyHistory.builder()
+              .day1Ago(day1Count)
+              .day2Ago(day2Count)
+              .day3Ago(day3Count)
+              .average(average)
+              .build();
 
       worker.setHistory(history);
 
@@ -177,16 +180,17 @@ public class LabelAllocateService {
     int toIndex = Math.min(fromIndex + size, workers.size());
 
     List<WorkerStatistics> pagedWorkers =
-      (fromIndex < workers.size()) ? workers.subList(fromIndex, toIndex) : List.of();
+        (fromIndex < workers.size()) ? workers.subList(fromIndex, toIndex) : List.of();
 
     return WorkerListResponse.builder()
-      .progressInfo(progressInfo)
-      .workers(pagedWorkers)
-      .currentPage(page)
-      .pageSize(size)
-      .totalElements(totalElements)
-      .totalPages(totalPages)
-      .build();
+        .projectInfo(projectInfo)
+        .progressInfo(progressInfo)
+        .workers(pagedWorkers)
+        .currentPage(page)
+        .pageSize(size)
+        .totalElements(totalElements)
+        .totalPages(totalPages)
+        .build();
   }
 
   public InferenceDetail findInferenceDetail(String uuid) {
@@ -194,11 +198,11 @@ public class LabelAllocateService {
   }
 
   public ApiResponseDto.ResponseObj allocateMove(
-    String autoType,
-    Integer stage,
-    List<TargetUser> targetUsers,
-    Integer compareYyyy,
-    Integer targetYyyy) {
+      String autoType,
+      Integer stage,
+      List<TargetUser> targetUsers,
+      Integer compareYyyy,
+      Integer targetYyyy) {
     Long lastId = null;
 
     Long chargeCnt = targetUsers.stream().mapToLong(TargetUser::getDemand).sum();
@@ -208,8 +212,8 @@ public class LabelAllocateService {
     }
 
     List<Long> allIds =
-      labelAllocateCoreService.fetchNextMoveIds(
-        lastId, chargeCnt, compareYyyy, targetYyyy, stage);
+        labelAllocateCoreService.fetchNextMoveIds(
+            lastId, chargeCnt, compareYyyy, targetYyyy, stage);
     int index = 0;
     for (TargetUser target : targetUsers) {
       int end = index + target.getDemand();