Merge remote-tracking branch 'origin/feat/infer_dev_260107' into feat/infer_dev_260107
This commit is contained in:
@@ -1,7 +1,6 @@
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package com.kamco.cd.kamcoback.inference;
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import com.kamco.cd.kamcoback.config.api.ApiResponseDto;
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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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@@ -241,28 +240,26 @@ public class InferenceResultApiController {
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return ApiResponseDto.ok(inferenceResultService.getInferenceServerStatusList());
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}
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@Operation(summary = "추론관리 진행현황 상세", description = "어드민 홈 > 추론관리 > 추론관리 > 진행현황 상세")
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@ApiResponses(
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value = {
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@ApiResponse(
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responseCode = "200",
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description = "검색 성공",
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content =
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@Content(
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mediaType = "application/json",
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schema = @Schema(implementation = Page.class))),
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@ApiResponse(responseCode = "400", description = "잘못된 검색 조건", content = @Content),
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@ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
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})
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value = {
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@ApiResponse(
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responseCode = "200",
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description = "검색 성공",
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content =
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@Content(
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mediaType = "application/json",
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schema = @Schema(implementation = Page.class))),
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@ApiResponse(responseCode = "400", description = "잘못된 검색 조건", content = @Content),
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@ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
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})
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@GetMapping("/status/{uuid}")
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public ApiResponseDto<InferenceStatusDetailDto> getInferenceStatus(
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@io.swagger.v3.oas.annotations.parameters.RequestBody(
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description = "모델 삭제 요청 정보",
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required = true)
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@PathVariable
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UUID uuid) {
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@io.swagger.v3.oas.annotations.parameters.RequestBody(
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description = "모델 삭제 요청 정보",
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required = true)
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@PathVariable
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UUID uuid) {
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return ApiResponseDto.ok(inferenceResultService.getInferenceStatus(uuid));
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}
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@@ -214,17 +214,17 @@ public class InferenceResultDto {
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private String model3Ver;
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public InferenceStatusDetailDto(
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String title,
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Integer compareYyyy,
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Integer targetYyyy,
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String detectOption,
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String mapSheetScope,
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ZonedDateTime inferStartDttm,
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ZonedDateTime inferEndDttm,
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Long detectingCnt,
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String model1Ver,
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String model2Ver,
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String model3Ver) {
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String title,
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Integer compareYyyy,
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Integer targetYyyy,
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String detectOption,
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String mapSheetScope,
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ZonedDateTime inferStartDttm,
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ZonedDateTime inferEndDttm,
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Long detectingCnt,
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String model1Ver,
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String model2Ver,
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String model3Ver) {
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this.title = title;
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this.compareYyyy = compareYyyy;
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this.targetYyyy = targetYyyy;
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@@ -247,18 +247,15 @@ public class InferenceResultDto {
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private String model3VerStatus = "PROCCESING";
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private String model4VerStatusName = "진행중";
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public String getDetectOptionName()
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{
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if( this.detectOption.equals("EXCL") )return "추론제외";
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public String getDetectOptionName() {
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if (this.detectOption.equals("EXCL")) return "추론제외";
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return "이전 년도 도엽 사용";
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}
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public String getMapSheetScopeName()
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{
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if( this.detectOption.equals("ALL") )return "전체";
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public String getMapSheetScopeName() {
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if (this.detectOption.equals("ALL")) return "전체";
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return "부분";
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}
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}
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@Getter
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@@ -405,12 +405,13 @@ public class InferenceResultService {
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public InferenceStatusDetailDto getInferenceStatus(UUID uuid) {
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List<InferenceServerStatusDto> servers = inferenceResultCoreService.getInferenceServerStatusList();
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List<InferenceServerStatusDto> servers =
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inferenceResultCoreService.getInferenceServerStatusList();
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String serverNames = "";
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for (InferenceServerStatusDto server : servers) {
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if( serverNames.equals("") )serverNames = server.getServerName();
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else serverNames = serverNames+","+server.getServerName();
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if (serverNames.equals("")) serverNames = server.getServerName();
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else serverNames = serverNames + "," + server.getServerName();
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}
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InferenceStatusDetailDto dto = inferenceResultCoreService.getInferenceStatus(uuid);
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@@ -418,5 +419,4 @@ public class InferenceResultService {
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return dto;
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}
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}
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@@ -134,7 +134,7 @@ public class ModelMngService {
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}
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public ModelUploadResDto uploadChunkModelFile(
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UploadDto.UploadAddReq upAddReqDto, MultipartFile chunkFile) {
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UploadDto.UploadAddReq upAddReqDto, MultipartFile chunkFile) {
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UploadDto.UploadRes upRes = uploadService.uploadChunk(upAddReqDto, chunkFile);
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ModelUploadResDto modelUploadResDto = new ModelUploadResDto();
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@@ -260,7 +260,7 @@ public class InferenceResultCoreService {
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return inferenceBatchSheet;
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}
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public InferenceStatusDetailDto getInferenceStatus(UUID uuid){
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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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@@ -1,13 +1,12 @@
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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.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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@@ -2,11 +2,9 @@ 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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@@ -100,35 +98,42 @@ 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.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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.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(
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gpuMetricEntity
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.id1
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.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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.fetch();
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return foundContent;
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}
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@@ -142,29 +147,32 @@ public class MapSheetLearnRepositoryImpl implements MapSheetLearnRepositoryCusto
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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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InferenceStatusDetailDto foundContent =
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queryFactory
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.select(
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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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.from(mapSheetLearnEntity)
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.leftJoin(m1Model)
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.on(m1Model.uuid.eq(mapSheetLearnEntity.m1ModelUuid))
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.leftJoin(m2Model)
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.on(m2Model.uuid.eq(mapSheetLearnEntity.m2ModelUuid))
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.leftJoin(m3Model)
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.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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