[KC-108] ai api batch 작업중
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@@ -228,6 +228,15 @@ public class InferenceResultCoreService {
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entity.setStatus(status);
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}
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public List<InferenceServerStatusDto> getInferenceServerStatusList(){return mapSheetLearnRepository.getInferenceServerStatusList();
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public List<InferenceServerStatusDto> getInferenceServerStatusList() {
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return mapSheetLearnRepository.getInferenceServerStatusList();
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}
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public Long getInferenceResultByStatus(String status) {
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MapSheetLearnEntity entity =
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mapSheetLearnRepository
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.getInferenceResultByStatus(status)
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.orElseThrow(() -> new EntityNotFoundException(status));
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return entity.getBatchId();
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}
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}
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@@ -44,5 +44,4 @@ public class GpuMetricEntity {
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@Column(name = "gpu_mem_total")
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private Float gpuMemTotal;
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}
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@@ -55,5 +55,4 @@ public class SystemMetricEntity {
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@Column(name = "memused")
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private Float memused;
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}
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@@ -3,9 +3,9 @@ package com.kamco.cd.kamcoback.postgres.repository.Inference;
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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.postgres.entity.MapSheetLearnEntity;
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import java.util.List;
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import java.util.Optional;
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import java.util.UUID;
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import java.util.List;
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import org.springframework.data.domain.Page;
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public interface MapSheetLearnRepositoryCustom {
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@@ -15,4 +15,6 @@ public interface MapSheetLearnRepositoryCustom {
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Optional<MapSheetLearnEntity> getInferenceResultByUuid(UUID uuid);
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List<InferenceServerStatusDto> getInferenceServerStatusList();
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Optional<MapSheetLearnEntity> getInferenceResultByStatus(String status);
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}
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@@ -94,35 +94,49 @@ public class MapSheetLearnRepositoryImpl implements MapSheetLearnRepositoryCusto
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BooleanBuilder builder = new BooleanBuilder();
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List<Integer> latestIds = queryFactory
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.select(systemMetricEntity.id1.max())
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.from(systemMetricEntity)
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.groupBy(systemMetricEntity.serverName)
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.fetch();
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List<Integer> latestIds =
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queryFactory
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.select(systemMetricEntity.id1.max())
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.from(systemMetricEntity)
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.groupBy(systemMetricEntity.serverName)
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.fetch();
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List<Integer> latestGpuIds = queryFactory
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.select(gpuMetricEntity.id1.max())
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.from(gpuMetricEntity)
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.groupBy(gpuMetricEntity.serverName)
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.fetch();
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List<Integer> latestGpuIds =
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queryFactory
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.select(gpuMetricEntity.id1.max())
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.from(gpuMetricEntity)
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.groupBy(gpuMetricEntity.serverName)
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.fetch();
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List<InferenceServerStatusDto> foundContent = queryFactory
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.select(Projections.constructor(
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InferenceServerStatusDto.class,
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systemMetricEntity.serverName,
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systemMetricEntity.cpuUser,
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systemMetricEntity.cpuSystem,
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systemMetricEntity.memused,
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systemMetricEntity.kbmemused,
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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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.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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.fetch();
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List<InferenceServerStatusDto> foundContent =
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queryFactory
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.select(
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Projections.constructor(
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InferenceServerStatusDto.class,
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systemMetricEntity.serverName,
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systemMetricEntity.cpuUser,
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systemMetricEntity.cpuSystem,
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systemMetricEntity.memused,
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systemMetricEntity.kbmemused,
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gpuMetricEntity.gpuUtil))
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.from(systemMetricEntity)
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.leftJoin(gpuMetricEntity)
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.on(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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.fetch();
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return foundContent;
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}
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@Override
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public Optional<MapSheetLearnEntity> getInferenceResultByStatus(String status) {
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return Optional.ofNullable(
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queryFactory
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.selectFrom(mapSheetLearnEntity)
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.where(mapSheetLearnEntity.status.eq(status))
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.limit(1)
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.fetchOne());
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}
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}
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