[KC-108] ai api batch 작업중

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

@@ -234,10 +234,20 @@ public class InferenceResultCoreService {
       entity.setM3ModelBatchId(request.getBatchId());
     }
 
-    entity.setStatus(request.getStatus());
     if (request.getInferStartDttm() != null) {
       entity.setInferStartDttm(request.getInferStartDttm());
     }
+
+    if (request.getModelComparePath() != null) {
+      entity.setModelComparePath(request.getModelComparePath());
+    }
+
+    if (request.getModelTargetPath() != null) {
+      entity.setModelTargetPath(request.getModelTargetPath());
+    }
+
+    entity.setRunningModelType(request.getType());
+    entity.setStatus(request.getStatus());
   }
 
   public List<InferenceServerStatusDto> getInferenceServerStatusList() {
@@ -251,6 +261,7 @@ public class InferenceResultCoreService {
             .orElseThrow(() -> new EntityNotFoundException(status));
 
     InferenceBatchSheet inferenceBatchSheet = new InferenceBatchSheet();
+    inferenceBatchSheet.setId(entity.getId());
     inferenceBatchSheet.setM1BatchId(entity.getM1ModelBatchId());
     inferenceBatchSheet.setM2BatchId(entity.getM2ModelBatchId());
     inferenceBatchSheet.setM3BatchId(entity.getM3ModelBatchId());
@@ -258,4 +269,9 @@ public class InferenceResultCoreService {
     inferenceBatchSheet.setRunningModelType(entity.getRunningModelType());
     return inferenceBatchSheet;
   }
+
+  public SaveInferenceAiDto getInferenceAiResultById(Long id) {
+
+    return null;
+  }
 }

src/main/java/com/kamco/cd/kamcoback/postgres/entity/MapSheetLearnEntity.java

@@ -118,6 +118,12 @@ public class MapSheetLearnEntity {
   @Column(name = "detect_end_cnt")
   private Long detectEndCnt;
 
+  @Column(name = "model_compare_path")
+  private String modelComparePath;
+
+  @Column(name = "model_target_path")
+  private String modelTargetPath;
+
   public InferenceResultDto.ResultList toDto() {
     return new InferenceResultDto.ResultList(
         this.uuid,

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

@@ -1,5 +1,6 @@
 package com.kamco.cd.kamcoback.postgres.repository.Inference;
 
+import com.kamco.cd.kamcoback.inference.dto.InferenceProgressDto;
 import com.kamco.cd.kamcoback.inference.dto.InferenceResultDto;
 import com.kamco.cd.kamcoback.inference.dto.InferenceResultDto.InferenceServerStatusDto;
 import com.kamco.cd.kamcoback.postgres.entity.MapSheetLearnEntity;
@@ -17,4 +18,6 @@ public interface MapSheetLearnRepositoryCustom {
   List<InferenceServerStatusDto> getInferenceServerStatusList();
 
   Optional<MapSheetLearnEntity> getInferenceResultByStatus(String status);
+
+  Optional<InferenceProgressDto> getInferenceAiResultById(Long id);
 }

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

@@ -5,6 +5,7 @@ import static com.kamco.cd.kamcoback.postgres.entity.QMapSheetLearnEntity.mapShe
 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.InferenceProgressDto;
 import com.kamco.cd.kamcoback.inference.dto.InferenceResultDto;
 import com.kamco.cd.kamcoback.inference.dto.InferenceResultDto.InferenceServerStatusDto;
 import com.kamco.cd.kamcoback.postgres.entity.MapSheetLearnEntity;
@@ -139,4 +140,34 @@ public class MapSheetLearnRepositoryImpl implements MapSheetLearnRepositoryCusto
             .limit(1)
             .fetchOne());
   }
+
+  @Override
+  public Optional<InferenceProgressDto> getInferenceAiResultById(Long id) {
+    //    InferenceProgressDto dto =
+    //      queryFactory
+    //        .select(
+    //          Projections.constructor(
+    //            InferenceProgressDto.class,
+    //            Projections.constructor(
+    //              InferenceProgressDto.pred_requests_areas.class,
+    //              mapSheetLearnEntity.compareYyyy,
+    //              mapSheetLearnEntity.targetYyyy,
+    //              mapSheetLearnEntity.modelComparePath,
+    //              mapSheetLearnEntity.modelTargetPath
+    //            ),
+    //            modelMngEntity.uuid.eq(mapSheetLearnEntity.m1ModelUuid).as("m1ModelUuid"),
+    //            modelMngEntity.uuid.eq(mapSheetLearnEntity.m2ModelUuid).as("m2ModelUuid"),
+    //            mapSheetLearnEntity.cdModelPath,
+    //            mapSheetLearnEntity.cdModelConfig,
+    //            mapSheetLearnEntity.clsModelPath,
+    //            mapSheetLearnEntity.clsModelVersion,
+    //            mapSheetLearnEntity.cdModelType,
+    //            mapSheetLearnEntity.priority
+    //          )
+    //        )
+    //        .from(mapSheetLearnEntity)
+    //        .where(mapSheetLearnEntity.id.eq(id))
+    //        .fetchOne();
+    return Optional.empty();
+  }
 }