spotless

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

@@ -260,7 +260,7 @@ public class InferenceResultCoreService {
     return inferenceBatchSheet;
   }
 
-  public InferenceStatusDetailDto getInferenceStatus(UUID uuid){
+  public InferenceStatusDetailDto getInferenceStatus(UUID uuid) {
     return mapSheetLearnRepository.getInferenceStatus(uuid);
   }
 }

src/main/java/com/kamco/cd/kamcoback/postgres/repository/Inference/MapSheetLearnRepositoryCustom.java

@@ -1,13 +1,12 @@
 package com.kamco.cd.kamcoback.postgres.repository.Inference;
 
-import com.kamco.cd.kamcoback.inference.dto.InferenceDetailDto;
 import com.kamco.cd.kamcoback.inference.dto.InferenceResultDto;
 import com.kamco.cd.kamcoback.inference.dto.InferenceResultDto.InferenceServerStatusDto;
 import com.kamco.cd.kamcoback.inference.dto.InferenceResultDto.InferenceStatusDetailDto;
 import com.kamco.cd.kamcoback.postgres.entity.MapSheetLearnEntity;
+import java.util.List;
 import java.util.Optional;
 import java.util.UUID;
-import java.util.List;
 import org.springframework.data.domain.Page;
 
 public interface MapSheetLearnRepositoryCustom {

src/main/java/com/kamco/cd/kamcoback/postgres/repository/Inference/MapSheetLearnRepositoryImpl.java

@@ -2,11 +2,9 @@ package com.kamco.cd.kamcoback.postgres.repository.Inference;
 
 import static com.kamco.cd.kamcoback.postgres.entity.QGpuMetricEntity.gpuMetricEntity;
 import static com.kamco.cd.kamcoback.postgres.entity.QMapSheetLearnEntity.mapSheetLearnEntity;
-import static com.kamco.cd.kamcoback.postgres.entity.QModelMngEntity.modelMngEntity;
 import static com.kamco.cd.kamcoback.postgres.entity.QSystemMetricEntity.systemMetricEntity;
 
 import com.kamco.cd.kamcoback.common.utils.DateRange;
-import com.kamco.cd.kamcoback.inference.dto.InferenceDetailDto;
 import com.kamco.cd.kamcoback.inference.dto.InferenceResultDto;
 import com.kamco.cd.kamcoback.inference.dto.InferenceResultDto.InferenceServerStatusDto;
 import com.kamco.cd.kamcoback.inference.dto.InferenceResultDto.InferenceStatusDetailDto;
@@ -100,35 +98,42 @@ public class MapSheetLearnRepositoryImpl implements MapSheetLearnRepositoryCusto
 
     BooleanBuilder builder = new BooleanBuilder();
 
-    List<Integer> latestIds = queryFactory
-      .select(systemMetricEntity.id1.max())
-      .from(systemMetricEntity)
-      .groupBy(systemMetricEntity.serverName)
-      .fetch();
+    List<Integer> latestIds =
+        queryFactory
+            .select(systemMetricEntity.id1.max())
+            .from(systemMetricEntity)
+            .groupBy(systemMetricEntity.serverName)
+            .fetch();
 
-    List<Integer> latestGpuIds = queryFactory
-      .select(gpuMetricEntity.id1.max())
-      .from(gpuMetricEntity)
-      .groupBy(gpuMetricEntity.serverName)
-      .fetch();
+    List<Integer> latestGpuIds =
+        queryFactory
+            .select(gpuMetricEntity.id1.max())
+            .from(gpuMetricEntity)
+            .groupBy(gpuMetricEntity.serverName)
+            .fetch();
 
-    List<InferenceServerStatusDto> foundContent = queryFactory
-      .select(Projections.constructor(
-        InferenceServerStatusDto.class,
-        systemMetricEntity.serverName,
-        systemMetricEntity.cpuUser,
-        systemMetricEntity.cpuSystem,
-        systemMetricEntity.memused,
-        systemMetricEntity.kbmemused,
-        gpuMetricEntity.gpuUtil
-      ))
-      .from(systemMetricEntity)
-      .leftJoin(gpuMetricEntity).on(gpuMetricEntity.id1.in(latestGpuIds)
-          .and(gpuMetricEntity.serverName.eq(systemMetricEntity.serverName)))
-      .where(systemMetricEntity.id1.in(latestIds)) // In 절 사용
-      .orderBy(systemMetricEntity.serverName.asc())
-      .limit(4)
-      .fetch();
+    List<InferenceServerStatusDto> foundContent =
+        queryFactory
+            .select(
+                Projections.constructor(
+                    InferenceServerStatusDto.class,
+                    systemMetricEntity.serverName,
+                    systemMetricEntity.cpuUser,
+                    systemMetricEntity.cpuSystem,
+                    systemMetricEntity.memused,
+                    systemMetricEntity.kbmemused,
+                    gpuMetricEntity.gpuUtil))
+            .from(systemMetricEntity)
+            .leftJoin(gpuMetricEntity)
+            .on(
+                gpuMetricEntity
+                    .id1
+                    .in(latestGpuIds)
+                    .and(gpuMetricEntity.serverName.eq(systemMetricEntity.serverName)))
+            .where(systemMetricEntity.id1.in(latestIds)) // In 절 사용
+            .orderBy(systemMetricEntity.serverName.asc())
+            .limit(4)
+            .fetch();
 
     return foundContent;
   }
@@ -142,29 +147,32 @@ public class MapSheetLearnRepositoryImpl implements MapSheetLearnRepositoryCusto
     QModelMngEntity m2Model = new QModelMngEntity("m2Model");
     QModelMngEntity m3Model = new QModelMngEntity("m3Model");
 
-    InferenceStatusDetailDto foundContent = queryFactory
-      .select(Projections.constructor(
-        InferenceStatusDetailDto.class,
-        mapSheetLearnEntity.title,
-        mapSheetLearnEntity.compareYyyy,
-        mapSheetLearnEntity.targetYyyy,
-        mapSheetLearnEntity.detectOption,
-        mapSheetLearnEntity.mapSheetScope,
-        mapSheetLearnEntity.inferStartDttm,
-        mapSheetLearnEntity.inferEndDttm,
-        mapSheetLearnEntity.detectingCnt,
-        m1Model.modelVer.as("model1Ver"),
-        m2Model.modelVer.as("model2Ver"),
-        m3Model.modelVer.as("model3Ver")
-      ))
-      .from(mapSheetLearnEntity)
-      .leftJoin(m1Model).on(m1Model.uuid.eq(mapSheetLearnEntity.m1ModelUuid))
-      .leftJoin(m2Model).on(m2Model.uuid.eq(mapSheetLearnEntity.m2ModelUuid))
-      .leftJoin(m3Model).on(m3Model.uuid.eq(mapSheetLearnEntity.m3ModelUuid))
-      .where(mapSheetLearnEntity.uuid.eq(uuid))
-      .fetchOne();
+    InferenceStatusDetailDto foundContent =
+        queryFactory
+            .select(
+                Projections.constructor(
+                    InferenceStatusDetailDto.class,
+                    mapSheetLearnEntity.title,
+                    mapSheetLearnEntity.compareYyyy,
+                    mapSheetLearnEntity.targetYyyy,
+                    mapSheetLearnEntity.detectOption,
+                    mapSheetLearnEntity.mapSheetScope,
+                    mapSheetLearnEntity.inferStartDttm,
+                    mapSheetLearnEntity.inferEndDttm,
+                    mapSheetLearnEntity.detectingCnt,
+                    m1Model.modelVer.as("model1Ver"),
+                    m2Model.modelVer.as("model2Ver"),
+                    m3Model.modelVer.as("model3Ver")))
+            .from(mapSheetLearnEntity)
+            .leftJoin(m1Model)
+            .on(m1Model.uuid.eq(mapSheetLearnEntity.m1ModelUuid))
+            .leftJoin(m2Model)
+            .on(m2Model.uuid.eq(mapSheetLearnEntity.m2ModelUuid))
+            .leftJoin(m3Model)
+            .on(m3Model.uuid.eq(mapSheetLearnEntity.m3ModelUuid))
+            .where(mapSheetLearnEntity.uuid.eq(uuid))
+            .fetchOne();
 
     return foundContent;
   }
-
 }