추론상세 진행상태
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@@ -7,6 +7,7 @@ import com.kamco.cd.kamcoback.inference.dto.InferenceDetailDto.Dashboard;
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import com.kamco.cd.kamcoback.inference.dto.InferenceDetailDto.MapSheet;
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import com.kamco.cd.kamcoback.inference.dto.InferenceResultDto;
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import com.kamco.cd.kamcoback.inference.dto.InferenceResultDto.InferenceServerStatusDto;
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import com.kamco.cd.kamcoback.inference.dto.InferenceResultDto.InferenceStatusDetailDto;
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import com.kamco.cd.kamcoback.inference.dto.InferenceResultDto.MapSheetNumDto;
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import com.kamco.cd.kamcoback.inference.dto.InferenceResultDto.ResultList;
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import com.kamco.cd.kamcoback.postgres.entity.MapInkx5kEntity;
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@@ -230,4 +231,8 @@ public class InferenceResultCoreService {
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public List<InferenceServerStatusDto> getInferenceServerStatusList(){return mapSheetLearnRepository.getInferenceServerStatusList();
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}
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public InferenceStatusDetailDto getInferenceStatus(UUID uuid){
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return mapSheetLearnRepository.getInferenceStatus(uuid);
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}
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}
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@@ -1,7 +1,9 @@
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package com.kamco.cd.kamcoback.postgres.repository.Inference;
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import com.kamco.cd.kamcoback.inference.dto.InferenceDetailDto;
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import com.kamco.cd.kamcoback.inference.dto.InferenceResultDto;
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import com.kamco.cd.kamcoback.inference.dto.InferenceResultDto.InferenceServerStatusDto;
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import com.kamco.cd.kamcoback.inference.dto.InferenceResultDto.InferenceStatusDetailDto;
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import com.kamco.cd.kamcoback.postgres.entity.MapSheetLearnEntity;
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import java.util.Optional;
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import java.util.UUID;
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@@ -15,4 +17,6 @@ public interface MapSheetLearnRepositoryCustom {
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Optional<MapSheetLearnEntity> getInferenceResultByUuid(UUID uuid);
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List<InferenceServerStatusDto> getInferenceServerStatusList();
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public InferenceStatusDetailDto getInferenceStatus(UUID uuid);
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}
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@@ -2,12 +2,17 @@ package com.kamco.cd.kamcoback.postgres.repository.Inference;
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import static com.kamco.cd.kamcoback.postgres.entity.QGpuMetricEntity.gpuMetricEntity;
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import static com.kamco.cd.kamcoback.postgres.entity.QMapSheetLearnEntity.mapSheetLearnEntity;
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import static com.kamco.cd.kamcoback.postgres.entity.QModelMngEntity.modelMngEntity;
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import static com.kamco.cd.kamcoback.postgres.entity.QSystemMetricEntity.systemMetricEntity;
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import com.kamco.cd.kamcoback.common.utils.DateRange;
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import com.kamco.cd.kamcoback.inference.dto.InferenceDetailDto;
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import com.kamco.cd.kamcoback.inference.dto.InferenceResultDto;
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import com.kamco.cd.kamcoback.inference.dto.InferenceResultDto.InferenceServerStatusDto;
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import com.kamco.cd.kamcoback.inference.dto.InferenceResultDto.InferenceStatusDetailDto;
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import com.kamco.cd.kamcoback.model.service.ModelMngService;
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import com.kamco.cd.kamcoback.postgres.entity.MapSheetLearnEntity;
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import com.kamco.cd.kamcoback.postgres.entity.QModelMngEntity;
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import com.querydsl.core.BooleanBuilder;
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import com.querydsl.core.types.Projections;
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import com.querydsl.core.types.dsl.CaseBuilder;
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@@ -28,6 +33,7 @@ import org.springframework.stereotype.Repository;
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public class MapSheetLearnRepositoryImpl implements MapSheetLearnRepositoryCustom {
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private final JPAQueryFactory queryFactory;
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private final ModelMngService modelMngService;
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@Override
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public Page<MapSheetLearnEntity> getInferenceMgnResultList(InferenceResultDto.SearchListReq req) {
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@@ -117,7 +123,8 @@ public class MapSheetLearnRepositoryImpl implements MapSheetLearnRepositoryCusto
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gpuMetricEntity.gpuUtil
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))
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.from(systemMetricEntity)
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.leftJoin(gpuMetricEntity).on(gpuMetricEntity.serverName.eq(systemMetricEntity.serverName))
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.leftJoin(gpuMetricEntity).on(gpuMetricEntity.id1.in(latestGpuIds)
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.and(gpuMetricEntity.serverName.eq(systemMetricEntity.serverName)))
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.where(systemMetricEntity.id1.in(latestIds)) // In 절 사용
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.orderBy(systemMetricEntity.serverName.asc())
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.limit(4)
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@@ -125,4 +132,39 @@ public class MapSheetLearnRepositoryImpl implements MapSheetLearnRepositoryCusto
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return foundContent;
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}
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@Override
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public InferenceStatusDetailDto getInferenceStatus(UUID uuid) {
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String serverNames = "";
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QModelMngEntity m1Model = new QModelMngEntity("m1Model");
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QModelMngEntity m2Model = new QModelMngEntity("m2Model");
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QModelMngEntity m3Model = new QModelMngEntity("m3Model");
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InferenceStatusDetailDto foundContent = queryFactory
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.select(Projections.constructor(
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InferenceStatusDetailDto.class,
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mapSheetLearnEntity.title,
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mapSheetLearnEntity.compareYyyy,
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mapSheetLearnEntity.targetYyyy,
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mapSheetLearnEntity.detectOption,
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mapSheetLearnEntity.mapSheetScope,
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mapSheetLearnEntity.inferStartDttm,
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mapSheetLearnEntity.inferEndDttm,
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mapSheetLearnEntity.detectingCnt,
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m1Model.modelVer.as("model1Ver"),
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m2Model.modelVer.as("model2Ver"),
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m3Model.modelVer.as("model3Ver")
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))
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.from(mapSheetLearnEntity)
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.leftJoin(m1Model).on(m1Model.uuid.eq(mapSheetLearnEntity.m1ModelUuid))
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.leftJoin(m2Model).on(m2Model.uuid.eq(mapSheetLearnEntity.m2ModelUuid))
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.leftJoin(m3Model).on(m3Model.uuid.eq(mapSheetLearnEntity.m3ModelUuid))
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.where(mapSheetLearnEntity.uuid.eq(uuid))
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.fetchOne();
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return foundContent;
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}
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}
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