[KC-103] spot less 적용

src/main/java/com/kamco/cd/kamcoback/postgres/core/InferenceResultCoreService.java

@@ -103,7 +103,7 @@ public class InferenceResultCoreService {
     mapSheetLearnEntity.setMapSheetCnt(mapSheetName);
     mapSheetLearnEntity.setDetectingCnt((long) detectingCnt);
     mapSheetLearnEntity.setStage(
-      mapSheetLearnRepository.getLearnStage(req.getCompareYyyy(), req.getTargetYyyy()));
+        mapSheetLearnRepository.getLearnStage(req.getCompareYyyy(), req.getTargetYyyy()));
 
     // learn 테이블 저장
     MapSheetLearnEntity savedLearn = mapSheetLearnRepository.save(mapSheetLearnEntity);
@@ -165,9 +165,9 @@ public class InferenceResultCoreService {
    */
   public InferenceDetailDto.AnalResSummary getInferenceResultSummary(Long id) {
     InferenceDetailDto.AnalResSummary summary =
-      mapSheetAnalDataRepository
-        .getInferenceResultSummary(id)
-        .orElseThrow(() -> new EntityNotFoundException("요약정보를 찾을 수 없습니다. " + id));
+        mapSheetAnalDataRepository
+            .getInferenceResultSummary(id)
+            .orElseThrow(() -> new EntityNotFoundException("요약정보를 찾을 수 없습니다. " + id));
     return summary;
   }
 
@@ -188,7 +188,7 @@ public class InferenceResultCoreService {
    * @return
    */
   public Page<InferenceDetailDto.Geom> getInferenceResultGeomList(
-    Long id, InferenceDetailDto.SearchGeoReq searchGeoReq) {
+      Long id, InferenceDetailDto.SearchGeoReq searchGeoReq) {
     return mapSheetAnalDataRepository.getInferenceGeomList(id, searchGeoReq);
   }
 
@@ -200,16 +200,16 @@ public class InferenceResultCoreService {
    */
   @Transactional(readOnly = true)
   public Page<InferenceDetailDto.DetailListEntity> listInferenceResultWithGeom(
-    @NotNull Long analyId, InferenceDetailDto.SearchGeoReq searchReq) {
+      @NotNull Long analyId, InferenceDetailDto.SearchGeoReq searchReq) {
     // 분석 ID 에 해당하는 dataids를 가져온다.
     List<Long> dataIds =
-      mapSheetAnalDataRepository.listAnalyGeom(analyId).stream()
-        .mapToLong(MapSheetAnalDataInferenceEntity::getId)
-        .boxed()
-        .toList();
+        mapSheetAnalDataRepository.listAnalyGeom(analyId).stream()
+            .mapToLong(MapSheetAnalDataInferenceEntity::getId)
+            .boxed()
+            .toList();
     // 해당데이터의 폴리곤데이터를 가져온다
     Page<MapSheetAnalDataInferenceGeomEntity> mapSheetAnalDataGeomEntities =
-      mapSheetAnalDataRepository.listInferenceResultWithGeom(dataIds, searchReq);
+        mapSheetAnalDataRepository.listInferenceResultWithGeom(dataIds, searchReq);
     return mapSheetAnalDataGeomEntities.map(MapSheetAnalDataInferenceGeomEntity::toEntity);
   }
 
@@ -226,14 +226,14 @@ public class InferenceResultCoreService {
   @Transactional(readOnly = true)
   public List<MapSheet> listGetScenes5k(Long analyId) {
     List<String> sceneCodes =
-      mapSheetAnalDataRepository.listAnalyGeom(analyId).stream()
-        .mapToLong(MapSheetAnalDataInferenceEntity::getMapSheetNum)
-        .mapToObj(String::valueOf)
-        .toList();
+        mapSheetAnalDataRepository.listAnalyGeom(analyId).stream()
+            .mapToLong(MapSheetAnalDataInferenceEntity::getMapSheetNum)
+            .mapToObj(String::valueOf)
+            .toList();
 
     return mapInkx5kRepository.listGetScenes5k(sceneCodes).stream()
-      .map(MapInkx5kEntity::toEntity)
-      .toList();
+        .map(MapInkx5kEntity::toEntity)
+        .toList();
   }
 
   /**
@@ -243,8 +243,9 @@ public class InferenceResultCoreService {
    */
   public void update(SaveInferenceAiDto request) {
     MapSheetLearnEntity entity =
-      mapSheetLearnRepository.getInferenceResultByUuid(request.getUuid())
-        .orElseThrow(EntityNotFoundException::new);
+        mapSheetLearnRepository
+            .getInferenceResultByUuid(request.getUuid())
+            .orElseThrow(EntityNotFoundException::new);
 
     // M1/M2/M3 영역 업데이트
     if (request.getType() != null) {
@@ -266,50 +267,49 @@ public class InferenceResultCoreService {
 
   private void applyModelUpdate(MapSheetLearnEntity entity, SaveInferenceAiDto request) {
     switch (request.getType()) {
-      case "M1" -> applyModelFields(
-        request,
-        entity::setM1ModelBatchId,
-        entity::setM1ModelStartDttm,
-        entity::setM1ModelEndDttm,
-        entity::setM1PendingJobs,
-        entity::setM1RunningJobs,
-        entity::setM1CompletedJobs,
-        entity::setM1FailedJobs
-      );
-      case "M2" -> applyModelFields(
-        request,
-        entity::setM2ModelBatchId,
-        entity::setM2ModelStartDttm,
-        entity::setM2ModelEndDttm,
-        entity::setM2PendingJobs,
-        entity::setM2RunningJobs,
-        entity::setM2CompletedJobs,
-        entity::setM2FailedJobs
-      );
-      case "M3" -> applyModelFields(
-        request,
-        entity::setM3ModelBatchId,
-        entity::setM3ModelStartDttm,
-        entity::setM3ModelEndDttm,
-        entity::setM3PendingJobs,
-        entity::setM3RunningJobs,
-        entity::setM3CompletedJobs,
-        entity::setM3FailedJobs
-      );
+      case "M1" ->
+          applyModelFields(
+              request,
+              entity::setM1ModelBatchId,
+              entity::setM1ModelStartDttm,
+              entity::setM1ModelEndDttm,
+              entity::setM1PendingJobs,
+              entity::setM1RunningJobs,
+              entity::setM1CompletedJobs,
+              entity::setM1FailedJobs);
+      case "M2" ->
+          applyModelFields(
+              request,
+              entity::setM2ModelBatchId,
+              entity::setM2ModelStartDttm,
+              entity::setM2ModelEndDttm,
+              entity::setM2PendingJobs,
+              entity::setM2RunningJobs,
+              entity::setM2CompletedJobs,
+              entity::setM2FailedJobs);
+      case "M3" ->
+          applyModelFields(
+              request,
+              entity::setM3ModelBatchId,
+              entity::setM3ModelStartDttm,
+              entity::setM3ModelEndDttm,
+              entity::setM3PendingJobs,
+              entity::setM3RunningJobs,
+              entity::setM3CompletedJobs,
+              entity::setM3FailedJobs);
       default -> throw new IllegalArgumentException("Unknown type: " + request.getType());
     }
   }
 
   private void applyModelFields(
-    SaveInferenceAiDto request,
-    Consumer<Long> setBatchId,
-    Consumer<ZonedDateTime> setStart,
-    Consumer<ZonedDateTime> setEnd,
-    Consumer<Integer> setPending,
-    Consumer<Integer> setRunning,
-    Consumer<Integer> setCompleted,
-    Consumer<Integer> setFailed
-  ) {
+      SaveInferenceAiDto request,
+      Consumer<Long> setBatchId,
+      Consumer<ZonedDateTime> setStart,
+      Consumer<ZonedDateTime> setEnd,
+      Consumer<Integer> setPending,
+      Consumer<Integer> setRunning,
+      Consumer<Integer> setCompleted,
+      Consumer<Integer> setFailed) {
     applyIfNotNull(request.getBatchId(), setBatchId);
     applyIfNotNull(request.getModelStartDttm(), setStart);
     applyIfNotNull(request.getModelEndDttm(), setEnd);
@@ -331,7 +331,7 @@ public class InferenceResultCoreService {
 
   public InferenceBatchSheet getInferenceResultByStatus(String status) {
     MapSheetLearnEntity entity =
-      mapSheetLearnRepository.getInferenceResultByStatus(status).orElse(null);
+        mapSheetLearnRepository.getInferenceResultByStatus(status).orElse(null);
 
     if (entity == null) {
       return null;
@@ -377,7 +377,7 @@ public class InferenceResultCoreService {
 
   /**
    * @param compareYear 비교년도
-   * @param targetYear  기준년도
+   * @param targetYear 기준년도
    * @return
    */
   public Integer getLearnStage(Integer compareYear, Integer targetYear) {