Merge remote-tracking branch 'origin/feat/infer_dev_260107' into feat/infer_dev_260107
# Conflicts: # src/main/java/com/kamco/cd/kamcoback/postgres/core/InferenceResultCoreService.java # src/main/java/com/kamco/cd/kamcoback/postgres/repository/Inference/MapSheetLearnRepositoryCustom.java
This commit is contained in:
@@ -3,6 +3,7 @@ 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.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.ResultList;
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import com.kamco.cd.kamcoback.inference.service.InferenceResultService;
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import com.kamco.cd.kamcoback.mapsheet.service.MapSheetMngService;
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@@ -23,6 +24,7 @@ import java.util.UUID;
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import lombok.RequiredArgsConstructor;
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import org.springframework.data.domain.Page;
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import org.springframework.web.bind.annotation.GetMapping;
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import org.springframework.web.bind.annotation.PathVariable;
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import org.springframework.web.bind.annotation.PostMapping;
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import org.springframework.web.bind.annotation.RequestBody;
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import org.springframework.web.bind.annotation.RequestMapping;
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@@ -237,4 +239,28 @@ 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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@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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return ApiResponseDto.ok(inferenceResultService.getInferenceStatus(uuid));
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}
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}
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@@ -195,6 +195,69 @@ public class InferenceResultDto {
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private String mapSheetName;
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}
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@Getter
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@Setter
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@NoArgsConstructor
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@AllArgsConstructor
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public static class InferenceStatusDetailDto {
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private String title;
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private Integer compareYyyy;
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private Integer targetYyyy;
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private String detectOption;
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private String mapSheetScope;
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@JsonFormatDttm private ZonedDateTime inferStartDttm;
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@JsonFormatDttm private ZonedDateTime inferEndDttm;
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private Long detectingCnt;
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private String model1Ver;
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private String model2Ver;
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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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this.title = title;
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this.compareYyyy = compareYyyy;
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this.targetYyyy = targetYyyy;
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this.detectOption = detectOption;
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this.mapSheetScope = mapSheetScope;
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this.inferStartDttm = inferStartDttm;
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this.inferEndDttm = inferEndDttm;
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this.detectingCnt = detectingCnt;
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this.model1Ver = model1Ver;
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this.model2Ver = model2Ver;
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this.model3Ver = model3Ver;
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}
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private String usedServerName;
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private Long detectingEndCnt = 7L;
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private String model1VerStatus = "PROCCESING";
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private String model1VerStatusName = "진행중";
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private String model2VerStatus = "PROCCESING";
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private String model2VerStatusName = "진행중";
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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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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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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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@Setter
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@NoArgsConstructor
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@@ -12,6 +12,7 @@ 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.DetectOption;
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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.MapSheetScope;
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import com.kamco.cd.kamcoback.inference.dto.InferenceResultDto.ResultList;
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@@ -403,4 +404,21 @@ public class InferenceResultService {
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public List<InferenceServerStatusDto> getInferenceServerStatusList() {
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return inferenceResultCoreService.getInferenceServerStatusList();
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}
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public InferenceStatusDetailDto getInferenceStatus(UUID uuid) {
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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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}
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InferenceStatusDetailDto dto = inferenceResultCoreService.getInferenceStatus(uuid);
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dto.setUsedServerName(serverNames);
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return dto;
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}
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}
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@@ -75,6 +75,23 @@ public class ModelMngService {
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addReq.setUuid(uuid);
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addReq.setClsModelVersion(addReq.getModelVer());
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addReq.setPriority(0d);
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ModelUploadResDto modelUploadResDto = new ModelUploadResDto();
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try {
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FIleChecker.unzip(addReq.getFileName(), addReq.getFilePath());
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this.getUnzipModelFiles(addReq.getFilePath(), modelUploadResDto);
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addReq.setCdModelPath(modelUploadResDto.getCdModelPath());
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addReq.setCdModelFileName(modelUploadResDto.getCdModelFileName());
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addReq.setCdModelConfigPath(modelUploadResDto.getCdModelConfigPath());
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addReq.setCdModelConfigFileName(modelUploadResDto.getCdModelConfigFileName());
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addReq.setClsModelPath(modelUploadResDto.getClsModelPath());
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addReq.setClsModelFileName(modelUploadResDto.getClsModelFileName());
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} catch (IOException e) {
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throw new RuntimeException(e);
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}
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Long modelUid = modelMngCoreService.insertModel(addReq);
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ModelMetricAddReq modelMetricAddReq = new ModelMetricAddReq();
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@@ -87,7 +104,7 @@ public class ModelMngService {
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modelMetricAddReq.setIou(0);
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ObjectMapper mapper = new ObjectMapper();
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String filePath = addReq.getClsModelPath() + addReq.getClsModelFileName();
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String filePath = modelUploadResDto.getClsModelPath() + modelUploadResDto.getClsModelFileName();
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String dataJson = null;
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try {
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dataJson = Files.readString(Path.of(filePath));
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@@ -126,8 +143,9 @@ public class ModelMngService {
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modelUploadResDto.setFileName(upRes.getFileName());
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modelUploadResDto.setChunkIndex(upRes.getChunkIndex());
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modelUploadResDto.setChunkTotalIndex(upRes.getChunkTotalIndex());
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// 압축풀기 (String zipFilePath, String destDirectory)
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// 압축풀기 (String zipFilePath, String destDirectory)
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/*
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if (upRes.getChunkIndex() == upRes.getChunkTotalIndex()) {
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try {
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FIleChecker.unzip(upRes.getFileName(), upRes.getFilePath());
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@@ -138,6 +156,7 @@ public class ModelMngService {
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throw new RuntimeException(e);
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}
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}
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*/
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return modelUploadResDto;
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}
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@@ -8,6 +8,7 @@ import com.kamco.cd.kamcoback.inference.dto.InferenceDetailDto.InferenceBatchShe
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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.inference.dto.InferenceResultDto.SaveInferenceAiDto;
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@@ -274,4 +275,8 @@ public class InferenceResultCoreService {
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return null;
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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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@@ -3,6 +3,7 @@ package com.kamco.cd.kamcoback.postgres.repository.Inference;
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import com.kamco.cd.kamcoback.inference.dto.InferenceProgressDto;
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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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@@ -20,4 +21,5 @@ public interface MapSheetLearnRepositoryCustom {
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Optional<MapSheetLearnEntity> getInferenceResultByStatus(String status);
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Optional<InferenceProgressDto> getInferenceAiResultById(Long id);
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public InferenceStatusDetailDto getInferenceStatus(UUID uuid);
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}
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@@ -8,7 +8,10 @@ import com.kamco.cd.kamcoback.common.utils.DateRange;
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import com.kamco.cd.kamcoback.inference.dto.InferenceProgressDto;
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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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@@ -29,6 +32,7 @@ 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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@@ -122,7 +126,11 @@ public class MapSheetLearnRepositoryImpl implements MapSheetLearnRepositoryCusto
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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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.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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@@ -132,13 +140,41 @@ public class MapSheetLearnRepositoryImpl implements MapSheetLearnRepositoryCusto
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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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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 =
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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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.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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@Override
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Block a user