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feat/training_260202 #46

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gina merged 2 commits from feat/training_260202 into develop 2026-02-12 12:10:05 +09:00
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22
src/main/java/com/kamco/cd/training/model/ModelTrainDetailApiController.java
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@@ -3,6 +3,7 @@ package com.kamco.cd.training.model;
import com.kamco.cd.training.config.api.ApiResponseDto;
import com.kamco.cd.training.model.dto.ModelTrainDetailDto;
import com.kamco.cd.training.model.dto.ModelTrainDetailDto.MappingDataset;
import com.kamco.cd.training.model.dto.ModelTrainDetailDto.ModelBestEpoch;
import com.kamco.cd.training.model.dto.ModelTrainDetailDto.ModelTestMetrics;
import com.kamco.cd.training.model.dto.ModelTrainDetailDto.ModelTrainMetrics;
import com.kamco.cd.training.model.dto.ModelTrainDetailDto.ModelValidationMetrics;
@@ -200,4 +201,25 @@ public class ModelTrainDetailApiController {
UUID uuid) {
return ApiResponseDto.ok(modelTrainDetailService.getModelTestMetricResult(uuid));
}
@Operation(summary = "모델관리 > 모델 상세 > 성능 정보 (Test)", description = "모델 상세 > 성능 정보 (Test) API")
@ApiResponses(
value = {
@ApiResponse(
responseCode = "200",
description = "조회 성공",
content =
@Content(
mediaType = "application/json",
schema = @Schema(implementation = TransferDetailDto.class))),
@ApiResponse(responseCode = "404", description = "데이터셋을 찾을 수 없음", content = @Content),
@ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
})
@GetMapping("/best-epoch/{uuid}")
public ApiResponseDto<ModelBestEpoch> getModelTrainBestEpoch(
@Parameter(description = "모델 uuid", example = "95cb116c-380a-41c0-98d8-4d1142f15bbf")
@PathVariable
UUID uuid) {
return ApiResponseDto.ok(modelTrainDetailService.getModelTrainBestEpoch(uuid));
}
}

14
src/main/java/com/kamco/cd/training/model/dto/ModelTrainDetailDto.java
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@@ -231,4 +231,18 @@ public class ModelTrainDetailDto {
private Long detectionCount;
private Long gtCount;
}
@Getter
@Setter
@NoArgsConstructor
@AllArgsConstructor
public static class ModelBestEpoch {
private Integer epoch;
private Double loss;
private Float f1Score;
private Float precision;
private Float recall;
private Float iou;
private Float accuracy;
}
}

5
src/main/java/com/kamco/cd/training/model/service/ModelTrainDetailService.java
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@@ -6,6 +6,7 @@ import com.kamco.cd.training.model.dto.ModelConfigDto;
import com.kamco.cd.training.model.dto.ModelTrainDetailDto.DetailSummary;
import com.kamco.cd.training.model.dto.ModelTrainDetailDto.HyperSummary;
import com.kamco.cd.training.model.dto.ModelTrainDetailDto.MappingDataset;
import com.kamco.cd.training.model.dto.ModelTrainDetailDto.ModelBestEpoch;
import com.kamco.cd.training.model.dto.ModelTrainDetailDto.ModelTestMetrics;
import com.kamco.cd.training.model.dto.ModelTrainDetailDto.ModelTrainMetrics;
import com.kamco.cd.training.model.dto.ModelTrainDetailDto.ModelValidationMetrics;
@@ -111,4 +112,8 @@ public class ModelTrainDetailService {
public List<ModelTestMetrics> getModelTestMetricResult(UUID uuid) {
return modelTrainDetailCoreService.getModelTestMetricResult(uuid);
}
public ModelBestEpoch getModelTrainBestEpoch(UUID uuid) {
return modelTrainDetailCoreService.getModelTrainBestEpoch(uuid);
}
}

5
src/main/java/com/kamco/cd/training/postgres/core/ModelTrainDetailCoreService.java
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@@ -7,6 +7,7 @@ import com.kamco.cd.training.model.dto.ModelConfigDto;
import com.kamco.cd.training.model.dto.ModelTrainDetailDto.DetailSummary;
import com.kamco.cd.training.model.dto.ModelTrainDetailDto.HyperSummary;
import com.kamco.cd.training.model.dto.ModelTrainDetailDto.MappingDataset;
import com.kamco.cd.training.model.dto.ModelTrainDetailDto.ModelBestEpoch;
import com.kamco.cd.training.model.dto.ModelTrainDetailDto.ModelTestMetrics;
import com.kamco.cd.training.model.dto.ModelTrainDetailDto.ModelTrainMetrics;
import com.kamco.cd.training.model.dto.ModelTrainDetailDto.ModelValidationMetrics;
@@ -92,4 +93,8 @@ public class ModelTrainDetailCoreService {
public List<ModelTestMetrics> getModelTestMetricResult(UUID uuid) {
return modelDetailRepository.getModelTestMetricResult(uuid);
}
public ModelBestEpoch getModelTrainBestEpoch(UUID uuid) {
return modelDetailRepository.getModelTrainBestEpoch(uuid);
}
}

9
src/main/java/com/kamco/cd/training/postgres/core/ModelTrainMngCoreService.java
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@@ -457,4 +457,13 @@ public class ModelTrainMngCoreService {
entity.setUpdatedDttm(ZonedDateTime.now());
entity.setUpdatedUid(userUtil.getId());
}
public void updateModelMasterBestEpoch(Long modelId, int epoch) {
ModelMasterEntity entity =
modelMngRepository
.findById(modelId)
.orElseThrow(() -> new IllegalArgumentException("Model not found: " + modelId));
entity.setBestEpoch(epoch);
}
}

3
src/main/java/com/kamco/cd/training/postgres/entity/ModelMasterEntity.java
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@@ -103,6 +103,9 @@ public class ModelMasterEntity {
@Column(name = "last_error")
private String lastError;
@Column(name = "best_epoch")
private Integer bestEpoch;
public ModelTrainMngDto.Basic toDto() {
return new ModelTrainMngDto.Basic(
this.id,

3
src/main/java/com/kamco/cd/training/postgres/repository/model/ModelDetailRepositoryCustom.java
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@@ -3,6 +3,7 @@ package com.kamco.cd.training.postgres.repository.model;
import com.kamco.cd.training.model.dto.ModelTrainDetailDto.DetailSummary;
import com.kamco.cd.training.model.dto.ModelTrainDetailDto.HyperSummary;
import com.kamco.cd.training.model.dto.ModelTrainDetailDto.MappingDataset;
import com.kamco.cd.training.model.dto.ModelTrainDetailDto.ModelBestEpoch;
import com.kamco.cd.training.model.dto.ModelTrainDetailDto.ModelTestMetrics;
import com.kamco.cd.training.model.dto.ModelTrainDetailDto.ModelTrainMetrics;
import com.kamco.cd.training.model.dto.ModelTrainDetailDto.ModelValidationMetrics;
@@ -31,4 +32,6 @@ public interface ModelDetailRepositoryCustom {
List<ModelValidationMetrics> getModelValidationMetricResult(UUID uuid);
List<ModelTestMetrics> getModelTestMetricResult(UUID uuid);
ModelBestEpoch getModelTrainBestEpoch(UUID uuid);
}

32
src/main/java/com/kamco/cd/training/postgres/repository/model/ModelDetailRepositoryImpl.java
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@@ -12,6 +12,7 @@ import static com.kamco.cd.training.postgres.entity.QModelMetricsValidationEntit
import com.kamco.cd.training.model.dto.ModelTrainDetailDto.DetailSummary;
import com.kamco.cd.training.model.dto.ModelTrainDetailDto.HyperSummary;
import com.kamco.cd.training.model.dto.ModelTrainDetailDto.MappingDataset;
import com.kamco.cd.training.model.dto.ModelTrainDetailDto.ModelBestEpoch;
import com.kamco.cd.training.model.dto.ModelTrainDetailDto.ModelTestMetrics;
import com.kamco.cd.training.model.dto.ModelTrainDetailDto.ModelTrainMetrics;
import com.kamco.cd.training.model.dto.ModelTrainDetailDto.ModelValidationMetrics;
@@ -26,8 +27,10 @@ import java.util.List;
import java.util.Optional;
import java.util.UUID;
import lombok.RequiredArgsConstructor;
import lombok.extern.slf4j.Slf4j;
import org.springframework.stereotype.Repository;
@Slf4j
@Repository
@RequiredArgsConstructor
public class ModelDetailRepositoryImpl implements ModelDetailRepositoryCustom {
@@ -237,4 +240,33 @@ public class ModelDetailRepositoryImpl implements ModelDetailRepositoryCustom {
.where(modelMetricsTestEntity.model.id.eq(modelMasterEntity.getId()))
.fetch();
}
@Override
public ModelBestEpoch getModelTrainBestEpoch(UUID uuid) {
ModelMasterEntity modelMasterEntity = findByModelByUUID(uuid);
if (modelMasterEntity == null) {
return null;
}
return queryFactory
.select(
Projections.constructor(
ModelBestEpoch.class,
modelMetricsTrainEntity.epoch,
modelMetricsTrainEntity.loss,
modelMetricsValidationEntity.mFscore,
modelMetricsValidationEntity.mPrecision,
modelMetricsValidationEntity.mRecall,
modelMetricsValidationEntity.mIou,
modelMetricsValidationEntity.mAcc))
.from(modelMetricsTrainEntity)
.leftJoin(modelMetricsValidationEntity)
.on(
modelMetricsTrainEntity.model.eq(modelMetricsValidationEntity.model),
modelMetricsTrainEntity.epoch.eq(modelMetricsValidationEntity.epoch))
.where(
modelMetricsTrainEntity.model.id.eq(modelMasterEntity.getId()),
modelMetricsTrainEntity.epoch.eq(modelMasterEntity.getBestEpoch()))
.fetchOne();
}
}

3
src/main/java/com/kamco/cd/training/train/service/TestJobService.java
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@@ -29,6 +29,9 @@ public class TestJobService {
// 마스터 확인
modelTrainMngCoreService.findModelById(modelId);
// best epoch 업데이트
modelTrainMngCoreService.updateModelMasterBestEpoch(modelId, epoch);
Map<String, Object> params = new java.util.LinkedHashMap<>();
params.put("jobType", "EVAL");
params.put("uuid", String.valueOf(uuid));