추론실행할때 회차 저장 제거
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@@ -174,9 +174,9 @@ public class InferenceResultCoreService {
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*/
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public InferenceDetailDto.AnalResSummary getInferenceResultSummary(Long id) {
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InferenceDetailDto.AnalResSummary summary =
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mapSheetAnalDataRepository
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.getInferenceResultSummary(id)
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.orElseThrow(() -> new EntityNotFoundException("요약정보를 찾을 수 없습니다. " + id));
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mapSheetAnalDataRepository
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.getInferenceResultSummary(id)
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.orElseThrow(() -> new EntityNotFoundException("요약정보를 찾을 수 없습니다. " + id));
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return summary;
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}
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@@ -197,7 +197,7 @@ public class InferenceResultCoreService {
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* @return
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*/
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public Page<InferenceDetailDto.Geom> getInferenceResultGeomList(
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Long id, InferenceDetailDto.SearchGeoReq searchGeoReq) {
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Long id, InferenceDetailDto.SearchGeoReq searchGeoReq) {
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return mapSheetAnalDataRepository.getInferenceGeomList(id, searchGeoReq);
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}
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@@ -209,16 +209,16 @@ public class InferenceResultCoreService {
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*/
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@Transactional(readOnly = true)
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public Page<InferenceDetailDto.DetailListEntity> listInferenceResultWithGeom(
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@NotNull Long analyId, InferenceDetailDto.SearchGeoReq searchReq) {
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@NotNull Long analyId, InferenceDetailDto.SearchGeoReq searchReq) {
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// 분석 ID 에 해당하는 dataids를 가져온다.
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List<Long> dataIds =
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mapSheetAnalDataRepository.listAnalyGeom(analyId).stream()
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.mapToLong(MapSheetAnalDataInferenceEntity::getId)
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.boxed()
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.toList();
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mapSheetAnalDataRepository.listAnalyGeom(analyId).stream()
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.mapToLong(MapSheetAnalDataInferenceEntity::getId)
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.boxed()
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.toList();
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// 해당데이터의 폴리곤데이터를 가져온다
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Page<MapSheetAnalDataInferenceGeomEntity> mapSheetAnalDataGeomEntities =
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mapSheetAnalDataRepository.listInferenceResultWithGeom(dataIds, searchReq);
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mapSheetAnalDataRepository.listInferenceResultWithGeom(dataIds, searchReq);
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return mapSheetAnalDataGeomEntities.map(MapSheetAnalDataInferenceGeomEntity::toEntity);
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}
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@@ -235,14 +235,14 @@ public class InferenceResultCoreService {
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@Transactional(readOnly = true)
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public List<MapSheet> listGetScenes5k(Long analyId) {
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List<String> sceneCodes =
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mapSheetAnalDataRepository.listAnalyGeom(analyId).stream()
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.mapToLong(MapSheetAnalDataInferenceEntity::getMapSheetNum)
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.mapToObj(String::valueOf)
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.toList();
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mapSheetAnalDataRepository.listAnalyGeom(analyId).stream()
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.mapToLong(MapSheetAnalDataInferenceEntity::getMapSheetNum)
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.mapToObj(String::valueOf)
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.toList();
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return mapInkx5kRepository.listGetScenes5k(sceneCodes).stream()
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.map(MapInkx5kEntity::toEntity)
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.toList();
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.map(MapInkx5kEntity::toEntity)
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.toList();
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}
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/**
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@@ -253,9 +253,9 @@ public class InferenceResultCoreService {
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@Transactional
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public void update(SaveInferenceAiDto request) {
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MapSheetLearnEntity entity =
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mapSheetLearnRepository
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.getInferenceResultByUuid(request.getUuid())
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.orElseThrow(EntityNotFoundException::new);
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mapSheetLearnRepository
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.getInferenceResultByUuid(request.getUuid())
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.orElseThrow(EntityNotFoundException::new);
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// M1/M2/M3 영역 업데이트
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if (request.getType() != null) {
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@@ -277,46 +277,49 @@ public class InferenceResultCoreService {
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private void applyModelUpdate(MapSheetLearnEntity entity, SaveInferenceAiDto request) {
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switch (request.getType()) {
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case "M1" -> applyModelFields(
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request,
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entity::setM1ModelBatchId,
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entity::setM1ModelStartDttm,
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entity::setM1ModelEndDttm,
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entity::setM1PendingJobs,
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entity::setM1RunningJobs,
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entity::setM1CompletedJobs,
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entity::setM1FailedJobs);
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case "M2" -> applyModelFields(
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request,
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entity::setM2ModelBatchId,
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entity::setM2ModelStartDttm,
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entity::setM2ModelEndDttm,
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entity::setM2PendingJobs,
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entity::setM2RunningJobs,
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entity::setM2CompletedJobs,
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entity::setM2FailedJobs);
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case "M3" -> applyModelFields(
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request,
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entity::setM3ModelBatchId,
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entity::setM3ModelStartDttm,
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entity::setM3ModelEndDttm,
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entity::setM3PendingJobs,
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entity::setM3RunningJobs,
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entity::setM3CompletedJobs,
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entity::setM3FailedJobs);
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case "M1" ->
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applyModelFields(
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request,
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entity::setM1ModelBatchId,
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entity::setM1ModelStartDttm,
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entity::setM1ModelEndDttm,
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entity::setM1PendingJobs,
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entity::setM1RunningJobs,
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entity::setM1CompletedJobs,
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entity::setM1FailedJobs);
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case "M2" ->
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applyModelFields(
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request,
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entity::setM2ModelBatchId,
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entity::setM2ModelStartDttm,
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entity::setM2ModelEndDttm,
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entity::setM2PendingJobs,
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entity::setM2RunningJobs,
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entity::setM2CompletedJobs,
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entity::setM2FailedJobs);
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case "M3" ->
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applyModelFields(
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request,
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entity::setM3ModelBatchId,
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entity::setM3ModelStartDttm,
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entity::setM3ModelEndDttm,
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entity::setM3PendingJobs,
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entity::setM3RunningJobs,
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entity::setM3CompletedJobs,
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entity::setM3FailedJobs);
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default -> throw new IllegalArgumentException("Unknown type: " + request.getType());
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}
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}
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private void applyModelFields(
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SaveInferenceAiDto request,
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Consumer<Long> setBatchId,
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Consumer<ZonedDateTime> setStart,
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Consumer<ZonedDateTime> setEnd,
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Consumer<Integer> setPending,
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Consumer<Integer> setRunning,
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Consumer<Integer> setCompleted,
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Consumer<Integer> setFailed) {
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SaveInferenceAiDto request,
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Consumer<Long> setBatchId,
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Consumer<ZonedDateTime> setStart,
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Consumer<ZonedDateTime> setEnd,
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Consumer<Integer> setPending,
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Consumer<Integer> setRunning,
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Consumer<Integer> setCompleted,
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Consumer<Integer> setFailed) {
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applyIfNotNull(request.getBatchId(), setBatchId);
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applyIfNotNull(request.getModelStartDttm(), setStart);
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applyIfNotNull(request.getModelEndDttm(), setEnd);
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@@ -343,7 +346,7 @@ public class InferenceResultCoreService {
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public InferenceBatchSheet getInferenceResultByStatus(String status) {
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MapSheetLearnEntity entity =
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mapSheetLearnRepository.getInferenceResultByStatus(status).orElse(null);
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mapSheetLearnRepository.getInferenceResultByStatus(status).orElse(null);
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if (entity == null) {
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return null;
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@@ -433,9 +436,9 @@ public class InferenceResultCoreService {
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/**
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* 모델별 도엽별 실패여부 저장
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*
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* @param uuid learn 테이블 uuid
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* @param uuid learn 테이블 uuid
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* @param failMapIds 실패한 도엽 목록
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* @param type 모델타입
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* @param type 모델타입
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*/
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@Transactional
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public void saveFail5k(UUID uuid, List<Long> failMapIds, String type) {
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@@ -454,7 +457,7 @@ public class InferenceResultCoreService {
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*/
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public List<InferenceResultsTestingDto.ShpDto> getInferenceResults(List<Long> batchIds) {
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List<InferenceResultsTestingEntity> list =
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inferenceResultsTetingRepository.getInferenceResultList(batchIds);
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inferenceResultsTetingRepository.getInferenceResultList(batchIds);
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return list.stream().map(InferenceResultsTestingDto.ShpDto::fromEntity).toList();
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}
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}
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@@ -4,7 +4,5 @@ import com.kamco.cd.kamcoback.postgres.entity.InferenceResultsTestingEntity;
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import org.springframework.data.jpa.repository.JpaRepository;
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public interface InferenceResultsTestingRepository
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extends JpaRepository<InferenceResultsTestingEntity, Long>,
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InferenceResultsTestingRepositoryCustom {
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}
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extends JpaRepository<InferenceResultsTestingEntity, Long>,
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InferenceResultsTestingRepositoryCustom {}
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@@ -11,16 +11,16 @@ import org.springframework.stereotype.Repository;
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@Repository
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@RequiredArgsConstructor
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public class InferenceResultsTestingRepositoryImpl
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implements InferenceResultsTestingRepositoryCustom {
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implements InferenceResultsTestingRepositoryCustom {
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private final JPAQueryFactory queryFactory;
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@Override
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public List<InferenceResultsTestingEntity> getInferenceResultList(List<Long> batchIds) {
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return queryFactory
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.select(inferenceResultsTestingEntity)
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.from(inferenceResultsTestingEntity)
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.where(inferenceResultsTestingEntity.batchId.in(batchIds))
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.fetch();
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.select(inferenceResultsTestingEntity)
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.from(inferenceResultsTestingEntity)
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.where(inferenceResultsTestingEntity.batchId.in(batchIds))
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.fetch();
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}
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}
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