src/main/java/com/kamco/cd/training/model/ModelTrainMngApiController.java

@@ -92,9 +92,8 @@ public class ModelTrainMngApiController {
         @ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
       })
   @PostMapping
-  public ApiResponseDto<String> createModelTrain(@Valid @RequestBody ModelTrainMngDto.AddReq req) {
+  public ApiResponseDto<UUID> createModelTrain(@Valid @RequestBody ModelTrainMngDto.AddReq req) {
-    modelTrainMngService.createModelTrain(req);
+    return ApiResponseDto.ok(modelTrainMngService.createModelTrain(req));
-    return ApiResponseDto.ok("ok");
   }
 
   @Operation(summary = "모델학습 config 정보 조회", description = "모델학습 config 정보 조회 API")

src/main/java/com/kamco/cd/training/model/dto/ModelTrainMngDto.java

@@ -155,6 +155,17 @@ public class ModelTrainMngDto {
     ModelConfig modelConfig;
   }
 
+  @Schema(name = "addReq", description = "모델학습 관리 등록 파라미터")
+  @Getter
+  @Setter
+  @NoArgsConstructor
+  @AllArgsConstructor
+  public static class UpdateReq {
+
+    private String requestPath;
+    private String responsePath;
+  }
+
   @Getter
   @Setter
   public static class TrainingDataset {

src/main/java/com/kamco/cd/training/model/service/ModelTrainMngService.java

@@ -13,6 +13,8 @@ import com.kamco.cd.training.model.dto.ModelTrainMngDto.SearchReq;
 import com.kamco.cd.training.postgres.core.HyperParamCoreService;
 import com.kamco.cd.training.postgres.core.ModelTrainMngCoreService;
 import com.kamco.cd.training.train.service.TrainJobService;
+import java.io.IOException;
+import java.nio.file.Path;
 import java.util.List;
 import java.util.UUID;
 import lombok.RequiredArgsConstructor;
@@ -31,6 +33,7 @@ public class ModelTrainMngService {
   private final TrainJobService trainJobService;
   private final ModelTrainMngCoreService modelTrainMngCoreService;
   private final HyperParamCoreService hyperParamCoreService;
+  private final TmpDatasetService tmpDatasetService;
 
   /**
    * 모델학습 조회
@@ -59,7 +62,7 @@ public class ModelTrainMngService {
    * @return
    */
   @Transactional
-  public void createModelTrain(ModelTrainMngDto.AddReq req) {
+  public UUID createModelTrain(ModelTrainMngDto.AddReq req) {
     HyperParam hyperParam = req.getHyperParam();
     HyperParamDto.Basic hyper = new HyperParamDto.Basic();
 
@@ -78,7 +81,10 @@ public class ModelTrainMngService {
     }
 
     // 모델학습 테이블 저장
-    Long modelId = modelTrainMngCoreService.saveModel(req);
+    ModelTrainMngDto.Basic modelDto = modelTrainMngCoreService.saveModel(req);
+
+    Long modelId = modelDto.getId();
+    UUID modelUuid = modelDto.getUuid();
 
     // 모델학습 데이터셋 저장
     modelTrainMngCoreService.saveModelDataset(modelId, req);
@@ -90,10 +96,23 @@ public class ModelTrainMngService {
     // 모델 config 저장
     modelTrainMngCoreService.saveModelConfig(modelId, req.getModelConfig());
 
-    // 저장 다 끝난 뒤에 job enqueue
+    UUID tmpUuid = UUID.randomUUID();
-    if (Boolean.TRUE.equals(req.getIsStart())) {
+    String raw = tmpUuid.toString().replace("-", "");
-      trainJobService.enqueue(modelId); // job 저장 + 이벤트 발행(실행은 AFTER_COMMIT)
+
+    List<String> uids =
+        modelTrainMngCoreService.findDatasetUid(req.getTrainingDataset().getDatasetList());
+
+    try {
+      // 데이터셋 심볼링크 생성
+      Path path = tmpDatasetService.buildTmpDatasetSymlink(raw, uids);
+      ModelTrainMngDto.UpdateReq updateReq = new ModelTrainMngDto.UpdateReq();
+      updateReq.setRequestPath(path.toString());
+      modelTrainMngCoreService.updateModelMaster(modelId, updateReq);
+    } catch (IOException e) {
+      throw new RuntimeException(e);
     }
+
+    return modelUuid;
   }
 
   /**

src/main/java/com/kamco/cd/training/model/service/TmpDatasetService.java

@@ -0,0 +1,66 @@
+package com.kamco.cd.training.model.service;
+
+import java.io.IOException;
+import java.nio.file.*;
+import java.util.List;
+import lombok.RequiredArgsConstructor;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.beans.factory.annotation.Value;
+import org.springframework.stereotype.Service;
+import org.springframework.transaction.annotation.Transactional;
+
+@Slf4j
+@Service
+@RequiredArgsConstructor
+public class TmpDatasetService {
+
+  @Value("${train.requestDir}")
+  private String requestDir;
+
+  // 환경에 맞게 yml로 빼는 걸 추천
+  private final Path BASE = Paths.get(requestDir);
+
+  @Transactional(readOnly = true)
+  public Path buildTmpDatasetSymlink(String uid, List<String> uids) throws IOException {
+    Path tmp = BASE.resolve("tmp").resolve(uid);
+
+    // mkdir -p "$TMP"/train/{input1,input2,label} ...
+    for (String type : List.of("train", "val")) {
+      for (String part : List.of("input1", "input2", "label")) {
+        Files.createDirectories(tmp.resolve(type).resolve(part));
+      }
+    }
+
+    for (String id : uids) {
+      Path srcRoot = BASE.resolve(id);
+
+      for (String type : List.of("train", "val")) {
+        for (String part : List.of("input1", "input2", "label")) {
+
+          Path srcDir = srcRoot.resolve(type).resolve(part);
+
+          // zsh NULL_GLOB: 폴더가 없으면 그냥 continue
+          if (!Files.isDirectory(srcDir)) continue;
+
+          try (DirectoryStream<Path> stream = Files.newDirectoryStream(srcDir)) {
+            for (Path f : stream) {
+              if (!Files.isRegularFile(f)) continue;
+
+              String dstName = id + "__" + f.getFileName();
+              Path dst = tmp.resolve(type).resolve(part).resolve(dstName);
+
+              // 이미 있으면 스킵(원하면 덮어쓰기 로직으로 바꿀 수 있음)
+              if (Files.exists(dst)) continue;
+
+              // ln -s "$f" "$dst" 와 동일
+              Files.createSymbolicLink(dst, f.toAbsolutePath());
+            }
+          }
+        }
+      }
+    }
+
+    log.info("tmp dataset created: {}", tmp);
+    return tmp;
+  }
+}

src/main/java/com/kamco/cd/training/postgres/core/ModelTestMetricsJobCoreService.java

@@ -1,6 +1,7 @@
 package com.kamco.cd.training.postgres.core;
 
 import com.kamco.cd.training.postgres.repository.train.ModelTestMetricsJobRepository;
+import com.kamco.cd.training.train.dto.ModelTrainMetricsDto.ResponsePathDto;
 import java.util.List;
 import lombok.RequiredArgsConstructor;
 import org.springframework.stereotype.Service;
@@ -18,7 +19,7 @@ public class ModelTestMetricsJobCoreService {
   }
 
   // Test 로직 시작
-  public List<Long> getTestMetricSaveNotYetModelIds() {
+  public List<ResponsePathDto> getTestMetricSaveNotYetModelIds() {
     return modelTestMetricsJobRepository.getTestMetricSaveNotYetModelIds();
   }
 

src/main/java/com/kamco/cd/training/postgres/core/ModelTrainMetricsJobCoreService.java

@@ -1,6 +1,7 @@
 package com.kamco.cd.training.postgres.core;
 
 import com.kamco.cd.training.postgres.repository.train.ModelTrainMetricsJobRepository;
+import com.kamco.cd.training.train.dto.ModelTrainMetricsDto.ResponsePathDto;
 import java.util.List;
 import lombok.RequiredArgsConstructor;
 import org.springframework.stereotype.Service;
@@ -12,7 +13,7 @@ public class ModelTrainMetricsJobCoreService {
 
   private final ModelTrainMetricsJobRepository modelTrainMetricsJobRepository;
 
-  public List<Long> getTrainMetricSaveNotYetModelIds() {
+  public List<ResponsePathDto> getTrainMetricSaveNotYetModelIds() {
     return modelTrainMetricsJobRepository.getTrainMetricSaveNotYetModelIds();
   }
 

src/main/java/com/kamco/cd/training/postgres/core/ModelTrainMngCoreService.java

@@ -78,7 +78,7 @@ public class ModelTrainMngCoreService {
    * @param addReq
    * @return
    */
-  public Long saveModel(ModelTrainMngDto.AddReq addReq) {
+  public ModelTrainMngDto.Basic saveModel(ModelTrainMngDto.AddReq addReq) {
     ModelMasterEntity entity = new ModelMasterEntity();
     ModelHyperParamEntity hyperParamEntity = new ModelHyperParamEntity();
 
@@ -117,7 +117,12 @@ public class ModelTrainMngCoreService {
 
     entity.setCreatedUid(userUtil.getId());
     ModelMasterEntity resultEntity = modelMngRepository.save(entity);
-    return resultEntity.getId();
+
+    ModelTrainMngDto.Basic result = new ModelTrainMngDto.Basic();
+    result.setId(resultEntity.getId());
+    result.setUuid(resultEntity.getUuid());
+
+    return result;
   }
 
   /**
@@ -149,6 +154,26 @@ public class ModelTrainMngCoreService {
     modelDatasetRepository.save(datasetEntity);
   }
 
+  /**
+   * 학습모델 수정
+   *
+   * @param modelId
+   * @param req
+   */
+  public void updateModelMaster(Long modelId, ModelTrainMngDto.UpdateReq req) {
+    ModelMasterEntity entity =
+        modelMngRepository
+            .findById(modelId)
+            .orElseThrow(() -> new CustomApiException("NOT_FOUND_DATA", HttpStatus.NOT_FOUND));
+    if (req.getRequestPath() != null && !req.getRequestPath().isEmpty()) {
+      entity.setRequestPath(req.getRequestPath());
+    }
+
+    if (req.getResponsePath() != null && !req.getResponsePath().isEmpty()) {
+      entity.setRequestPath(req.getResponsePath());
+    }
+  }
+
   /**
    * 모델 데이터셋 mapping 테이블 저장
    *
@@ -467,4 +492,14 @@ public class ModelTrainMngCoreService {
 
     entity.setBestEpoch(epoch);
   }
+
+  /**
+   * 데이터셋 uid 조회
+   *
+   * @param datasetIds
+   * @return
+   */
+  public List<String> findDatasetUid(List<Long> datasetIds) {
+    return datasetRepository.findDatasetUid(datasetIds);
+  }
 }

src/main/java/com/kamco/cd/training/postgres/entity/ModelMasterEntity.java

@@ -106,6 +106,12 @@ public class ModelMasterEntity {
   @Column(name = "best_epoch")
   private Integer bestEpoch;
 
+  @Column(name = "request_path")
+  private String requestPath;
+
+  @Column(name = "response_path")
+  private String responsePath;
+
   public ModelTrainMngDto.Basic toDto() {
     return new ModelTrainMngDto.Basic(
         this.id,

src/main/java/com/kamco/cd/training/postgres/repository/dataset/DatasetRepositoryCustom.java

@@ -22,4 +22,6 @@ public interface DatasetRepositoryCustom {
   Long getDatasetMaxStage(int compareYyyy, int targetYyyy);
 
   Long insertDatasetMngData(DatasetMngRegDto mngRegDto);
+
+  List<String> findDatasetUid(List<Long> datasetIds);
 }

src/main/java/com/kamco/cd/training/postgres/repository/dataset/DatasetRepositoryImpl.java

@@ -242,4 +242,9 @@ public class DatasetRepositoryImpl implements DatasetRepositoryCustom {
         .where(dataset.uid.eq(mngRegDto.getUid()))
         .fetchOne();
   }
+
+  @Override
+  public List<String> findDatasetUid(List<Long> datasetIds) {
+    return queryFactory.select(dataset.uid).from(dataset).where(dataset.id.in(datasetIds)).fetch();
+  }
 }

src/main/java/com/kamco/cd/training/postgres/repository/model/ModelMngRepositoryImpl.java

@@ -94,7 +94,7 @@ public class ModelMngRepositoryImpl implements ModelMngRepositoryCustom {
         .select(
             Projections.constructor(
                 TrainRunRequest.class,
-                modelMasterEntity.uuid, // datasetFolder
+                modelMasterEntity.requestPath, // datasetFolder
                 modelMasterEntity.uuid, // outputFolder
                 modelHyperParamEntity.inputSize,
                 modelHyperParamEntity.cropSize,

src/main/java/com/kamco/cd/training/postgres/repository/train/ModelTestMetricsJobRepositoryCustom.java

@@ -1,12 +1,13 @@
 package com.kamco.cd.training.postgres.repository.train;
 
+import com.kamco.cd.training.train.dto.ModelTrainMetricsDto.ResponsePathDto;
 import java.util.List;
 
 public interface ModelTestMetricsJobRepositoryCustom {
 
   void updateModelMetricsTrainSaveYn(Long modelId, String stepNo);
 
-  List<Long> getTestMetricSaveNotYetModelIds();
+  List<ResponsePathDto> getTestMetricSaveNotYetModelIds();
 
   void insertModelMetricsTest(List<Object[]> batchArgs);
 }

src/main/java/com/kamco/cd/training/postgres/repository/train/ModelTestMetricsJobRepositoryImpl.java

@@ -4,6 +4,8 @@ import static com.kamco.cd.training.postgres.entity.QModelMasterEntity.modelMast
 
 import com.kamco.cd.training.common.enums.TrainStatusType;
 import com.kamco.cd.training.postgres.entity.ModelMetricsTestEntity;
+import com.kamco.cd.training.train.dto.ModelTrainMetricsDto.ResponsePathDto;
+import com.querydsl.core.types.Projections;
 import com.querydsl.jpa.impl.JPAQueryFactory;
 import java.util.List;
 import org.springframework.data.jpa.repository.support.QuerydslRepositorySupport;
@@ -36,9 +38,11 @@ public class ModelTestMetricsJobRepositoryImpl extends QuerydslRepositorySupport
   }
 
   @Override
-  public List<Long> getTestMetricSaveNotYetModelIds() {
+  public List<ResponsePathDto> getTestMetricSaveNotYetModelIds() {
     return queryFactory
-        .select(modelMasterEntity.id)
+        .select(
+            Projections.constructor(
+                ResponsePathDto.class, modelMasterEntity.id, modelMasterEntity.responsePath))
         .from(modelMasterEntity)
         .where(
             modelMasterEntity.step2EndDttm.isNotNull(),

src/main/java/com/kamco/cd/training/postgres/repository/train/ModelTrainMetricsJobRepositoryCustom.java

@@ -1,10 +1,11 @@
 package com.kamco.cd.training.postgres.repository.train;
 
+import com.kamco.cd.training.train.dto.ModelTrainMetricsDto.ResponsePathDto;
 import java.util.List;
 
 public interface ModelTrainMetricsJobRepositoryCustom {
 
-  List<Long> getTrainMetricSaveNotYetModelIds();
+  List<ResponsePathDto> getTrainMetricSaveNotYetModelIds();
 
   void insertModelMetricsTrain(List<Object[]> batchArgs);
 

src/main/java/com/kamco/cd/training/postgres/repository/train/ModelTrainMetricsJobRepositoryImpl.java

@@ -4,6 +4,8 @@ import static com.kamco.cd.training.postgres.entity.QModelMasterEntity.modelMast
 
 import com.kamco.cd.training.common.enums.TrainStatusType;
 import com.kamco.cd.training.postgres.entity.ModelMetricsTrainEntity;
+import com.kamco.cd.training.train.dto.ModelTrainMetricsDto.ResponsePathDto;
+import com.querydsl.core.types.Projections;
 import com.querydsl.jpa.impl.JPAQueryFactory;
 import java.util.List;
 import org.springframework.data.jpa.repository.support.QuerydslRepositorySupport;
@@ -23,9 +25,11 @@ public class ModelTrainMetricsJobRepositoryImpl extends QuerydslRepositorySuppor
   }
 
   @Override
-  public List<Long> getTrainMetricSaveNotYetModelIds() {
+  public List<ResponsePathDto> getTrainMetricSaveNotYetModelIds() {
     return queryFactory
-        .select(modelMasterEntity.id)
+        .select(
+            Projections.constructor(
+                ResponsePathDto.class, modelMasterEntity.id, modelMasterEntity.responsePath))
         .from(modelMasterEntity)
         .where(
             modelMasterEntity.step1EndDttm.isNotNull(),
@@ -41,7 +45,7 @@ public class ModelTrainMetricsJobRepositoryImpl extends QuerydslRepositorySuppor
   public void insertModelMetricsTrain(List<Object[]> batchArgs) {
     String sql =
         """
-            insert into tb_model_matrics_train
+            insert into tb_model_metrics_train
             (model_id, epoch, iteration, loss, lr, duration_time)
             values (?, ?, ?, ?, ?, ?)
         """;
@@ -66,7 +70,7 @@ public class ModelTrainMetricsJobRepositoryImpl extends QuerydslRepositorySuppor
   public void insertModelMetricsValidation(List<Object[]> batchArgs) {
     String sql =
         """
-            insert into tb_model_matrics_validation
+            insert into tb_model_metrics_validation
             (model_id, epoch, a_acc, m_fscore, m_precision, m_recall, m_iou, m_acc, changed_fscore, changed_precision, changed_recall,
              unchanged_fscore, unchanged_precision, unchanged_recall
              )

src/main/java/com/kamco/cd/training/train/dto/ModelTrainMetricsDto.java

@@ -0,0 +1,21 @@
+package com.kamco.cd.training.train.dto;
+
+import io.swagger.v3.oas.annotations.media.Schema;
+import lombok.AllArgsConstructor;
+import lombok.Getter;
+import lombok.NoArgsConstructor;
+import lombok.Setter;
+
+public class ModelTrainMetricsDto {
+
+  @Schema(name = "ResponsePathDto", description = "AI 결과 저장된 path 경로 정보")
+  @Getter
+  @Setter
+  @NoArgsConstructor
+  @AllArgsConstructor
+  public static class ResponsePathDto {
+
+    private Long modelId;
+    private String responsePath;
+  }
+}

src/main/java/com/kamco/cd/training/train/service/DockerTrainService.java

@@ -221,7 +221,7 @@ public class DockerTrainService {
     c.add("/workspace/change-detection-code/train_wrapper.py");
 
     // ===== 기본 파라미터 =====
-    addArg(c, "--dataset-folder", "4BDBBDF99D04477A927CC9EBA760B845" /*req.getDatasetFolder()*/);
+    addArg(c, "--dataset-folder", req.getDatasetFolder());
     addArg(c, "--output-folder", req.getOutputFolder());
     addArg(c, "--input-size", req.getInputSize());
     addArg(c, "--crop-size", req.getCropSize());
@@ -281,8 +281,8 @@ public class DockerTrainService {
     if (value == null) return;
     String s = String.valueOf(value).trim();
     if (s.isEmpty()) return;
-    c.add(key);
+
-    c.add(s);
+    c.add(key + "=" + s);
   }
 
   /** 컨테이너 강제 종료 및 제거 */

src/main/java/com/kamco/cd/training/train/service/ModelTestMetricsJobService.java

@@ -1,6 +1,7 @@
 package com.kamco.cd.training.train.service;
 
 import com.kamco.cd.training.postgres.core.ModelTestMetricsJobCoreService;
+import com.kamco.cd.training.train.dto.ModelTrainMetricsDto.ResponsePathDto;
 import java.io.BufferedReader;
 import java.io.IOException;
 import java.nio.charset.StandardCharsets;
@@ -35,66 +36,67 @@ public class ModelTestMetricsJobService {
     return "local".equalsIgnoreCase(profile);
   }
 
-  //  @Scheduled(cron = "0 0/10 * * * *")
+  //    @Scheduled(cron = "0 * * * * *")
   public void findTestValidMetricCsvFiles() {
-    if (isLocalProfile()) {
+    //    if (isLocalProfile()) {
-      return;
+    //      return;
-    }
+    //    }
 
-    List<Long> modelIds =
+    List<ResponsePathDto> modelIds =
-        modelTestMetricsJobCoreService
+        modelTestMetricsJobCoreService.getTestMetricSaveNotYetModelIds();
-            .getTestMetricSaveNotYetModelIds(); // TODO: uid, uuid ? 가져오기로 해야함
 
     if (modelIds.isEmpty()) {
       return;
     }
 
-    String localPath = "C:\\data\\upload\\test.csv";
+    for (ResponsePathDto modelInfo : modelIds) {
-    try (BufferedReader reader =
-        Files.newBufferedReader(Paths.get(localPath), StandardCharsets.UTF_8); ) {
 
-      log.info("### localPath={}", localPath);
+      String testPath = modelInfo.getResponsePath() + "/metrics/test.csv";
-      CSVParser parser = CSVFormat.DEFAULT.withFirstRecordAsHeader().parse(reader);
+      try (BufferedReader reader =
+          Files.newBufferedReader(Paths.get(testPath), StandardCharsets.UTF_8); ) {
 
-      List<Object[]> batchArgs = new ArrayList<>();
+        CSVParser parser = CSVFormat.DEFAULT.withFirstRecordAsHeader().parse(reader);
 
-      for (CSVRecord record : parser) {
+        List<Object[]> batchArgs = new ArrayList<>();
 
-        String model = record.get("model");
+        for (CSVRecord record : parser) {
-        long TP = Long.parseLong(record.get("TP"));
-        long FP = Long.parseLong(record.get("FP"));
-        long FN = Long.parseLong(record.get("FN"));
-        float precision = Float.parseFloat(record.get("precision"));
-        float recall = Float.parseFloat(record.get("recall"));
-        float f1_score = Float.parseFloat(record.get("f1_score"));
-        float accuracy = Float.parseFloat(record.get("accuracy"));
-        float iou = Float.parseFloat(record.get("iou"));
-        long detection_count = Long.parseLong(record.get("detection_count"));
-        long gt_count = Long.parseLong(record.get("gt_count"));
 
-        batchArgs.add(
+          String model = record.get("model");
-            new Object[] {
+          long TP = Long.parseLong(record.get("TP"));
-              modelIds.getFirst(),
+          long FP = Long.parseLong(record.get("FP"));
-              model,
+          long FN = Long.parseLong(record.get("FN"));
-              TP,
+          float precision = Float.parseFloat(record.get("precision"));
-              FP,
+          float recall = Float.parseFloat(record.get("recall"));
-              FN,
+          float f1_score = Float.parseFloat(record.get("f1_score"));
-              precision,
+          float accuracy = Float.parseFloat(record.get("accuracy"));
-              recall,
+          float iou = Float.parseFloat(record.get("iou"));
-              f1_score,
+          long detection_count = Long.parseLong(record.get("detection_count"));
-              accuracy,
+          long gt_count = Long.parseLong(record.get("gt_count"));
-              iou,
+
-              detection_count,
+          batchArgs.add(
-              gt_count
+              new Object[] {
-            });
+                modelInfo.getModelId(),
+                model,
+                TP,
+                FP,
+                FN,
+                precision,
+                recall,
+                f1_score,
+                accuracy,
+                iou,
+                detection_count,
+                gt_count
+              });
+        }
+
+        modelTestMetricsJobCoreService.insertModelMetricsTest(batchArgs);
+
+      } catch (IOException e) {
+        throw new RuntimeException(e);
       }
 
-      modelTestMetricsJobCoreService.insertModelMetricsTest(batchArgs);
+      modelTestMetricsJobCoreService.updateModelMetricsTrainSaveYn(modelInfo.getModelId(), "step2");
-
-    } catch (IOException e) {
-      throw new RuntimeException(e);
     }
-
-    modelTestMetricsJobCoreService.updateModelMetricsTrainSaveYn(modelIds.getFirst(), "step2");
   }
 }

src/main/java/com/kamco/cd/training/train/service/ModelTrainMetricsJobService.java

@@ -1,6 +1,7 @@
 package com.kamco.cd.training.train.service;
 
 import com.kamco.cd.training.postgres.core.ModelTrainMetricsJobCoreService;
+import com.kamco.cd.training.train.dto.ModelTrainMetricsDto.ResponsePathDto;
 import java.io.BufferedReader;
 import java.io.IOException;
 import java.nio.charset.StandardCharsets;
@@ -35,96 +36,97 @@ public class ModelTrainMetricsJobService {
     return "local".equalsIgnoreCase(profile);
   }
 
-  //    @Scheduled(cron = "0 0/10 * * * *")
+  // @Scheduled(cron = "0 * * * * *")
   public void findTrainValidMetricCsvFiles() {
-    if (isLocalProfile()) {
+    //    if (isLocalProfile()) {
-      return;
+    //      return;
-    }
+    //    }
 
-    List<Long> modelIds =
+    List<ResponsePathDto> modelIds =
-        modelTrainMetricsJobCoreService
+        modelTrainMetricsJobCoreService.getTrainMetricSaveNotYetModelIds();
-            .getTrainMetricSaveNotYetModelIds(); // TODO: uid, uuid ? 가져오기로 해야함
 
     if (modelIds.isEmpty()) {
       return;
     }
 
-    String localPath = "C:\\data\\upload\\train.csv";
+    for (ResponsePathDto modelInfo : modelIds) {
-    try (BufferedReader reader =
-        Files.newBufferedReader(Paths.get(localPath), StandardCharsets.UTF_8); ) {
 
-      log.info("### localPath={}", localPath);
+      String trainPath = modelInfo.getResponsePath() + "/metrics/train.csv";
-      CSVParser parser = CSVFormat.DEFAULT.withFirstRecordAsHeader().parse(reader);
+      try (BufferedReader reader =
+          Files.newBufferedReader(Paths.get(trainPath), StandardCharsets.UTF_8); ) {
 
-      List<Object[]> batchArgs = new ArrayList<>();
+        CSVParser parser = CSVFormat.DEFAULT.withFirstRecordAsHeader().parse(reader);
 
-      for (CSVRecord record : parser) {
+        List<Object[]> batchArgs = new ArrayList<>();
 
-        int epoch = Integer.parseInt(record.get("Epoch"));
+        for (CSVRecord record : parser) {
-        long iteration = Long.parseLong(record.get("Iteration"));
-        double Loss = Double.parseDouble(record.get("Loss"));
-        double LR = Double.parseDouble(record.get("LR"));
-        float time = Float.parseFloat(record.get("Time"));
 
-        batchArgs.add(new Object[] {modelIds.getFirst(), epoch, iteration, Loss, LR, time});
+          int epoch = Integer.parseInt(record.get("Epoch")) + 1; // TODO : 나중에 AI 개발 완료되면 -1 하기
+          long iteration = Long.parseLong(record.get("Iteration"));
+          double Loss = Double.parseDouble(record.get("Loss"));
+          double LR = Double.parseDouble(record.get("LR"));
+          float time = Float.parseFloat(record.get("Time"));
+
+          batchArgs.add(new Object[] {modelInfo.getModelId(), epoch, iteration, Loss, LR, time});
+        }
+
+        modelTrainMetricsJobCoreService.insertModelMetricsTrain(batchArgs);
+
+      } catch (IOException e) {
+        throw new RuntimeException(e);
       }
 
-      modelTrainMetricsJobCoreService.insertModelMetricsTrain(batchArgs);
+      String validationPath = modelInfo.getResponsePath() + "/metrics/val.csv";
+      try (BufferedReader reader =
+          Files.newBufferedReader(Paths.get(validationPath), StandardCharsets.UTF_8); ) {
 
-    } catch (IOException e) {
+        CSVParser parser = CSVFormat.DEFAULT.withFirstRecordAsHeader().parse(reader);
-      throw new RuntimeException(e);
-    }
 
-    String validationPath = "C:\\data\\upload\\val.csv";
+        List<Object[]> batchArgs = new ArrayList<>();
-    try (BufferedReader reader =
-        Files.newBufferedReader(Paths.get(validationPath), StandardCharsets.UTF_8); ) {
 
-      log.info("### validationPath={}", validationPath);
+        for (CSVRecord record : parser) {
-      CSVParser parser = CSVFormat.DEFAULT.withFirstRecordAsHeader().parse(reader);
 
-      List<Object[]> batchArgs = new ArrayList<>();
+          int epoch = Integer.parseInt(record.get("Epoch"));
+          float aAcc = Float.parseFloat(record.get("aAcc"));
+          float mFscore = Float.parseFloat(record.get("mFscore"));
+          float mPrecision = Float.parseFloat(record.get("mPrecision"));
+          float mRecall = Float.parseFloat(record.get("mRecall"));
+          float mIoU = Float.parseFloat(record.get("mIoU"));
+          float mAcc = Float.parseFloat(record.get("mAcc"));
+          float changed_fscore = Float.parseFloat(record.get("changed_fscore"));
+          float changed_precision = Float.parseFloat(record.get("changed_precision"));
+          float changed_recall = Float.parseFloat(record.get("changed_recall"));
+          float unchanged_fscore = Float.parseFloat(record.get("unchanged_fscore"));
+          float unchanged_precision = Float.parseFloat(record.get("unchanged_precision"));
+          float unchanged_recall = Float.parseFloat(record.get("unchanged_recall"));
 
-      for (CSVRecord record : parser) {
+          batchArgs.add(
+              new Object[] {
+                modelInfo.getModelId(),
+                epoch,
+                aAcc,
+                mFscore,
+                mPrecision,
+                mRecall,
+                mIoU,
+                mAcc,
+                changed_fscore,
+                changed_precision,
+                changed_recall,
+                unchanged_fscore,
+                unchanged_precision,
+                unchanged_recall
+              });
+        }
 
-        int epoch = Integer.parseInt(record.get("Epoch"));
+        modelTrainMetricsJobCoreService.insertModelMetricsValidation(batchArgs);
-        float aAcc = Float.parseFloat(record.get("aAcc"));
-        float mFscore = Float.parseFloat(record.get("mFscore"));
-        float mPrecision = Float.parseFloat(record.get("mPrecision"));
-        float mRecall = Float.parseFloat(record.get("mRecall"));
-        float mIoU = Float.parseFloat(record.get("mIoU"));
-        float mAcc = Float.parseFloat(record.get("mAcc"));
-        float changed_fscore = Float.parseFloat(record.get("changed_fscore"));
-        float changed_precision = Float.parseFloat(record.get("changed_precision"));
-        float changed_recall = Float.parseFloat(record.get("changed_recall"));
-        float unchanged_fscore = Float.parseFloat(record.get("unchanged_fscore"));
-        float unchanged_precision = Float.parseFloat(record.get("unchanged_precision"));
-        float unchanged_recall = Float.parseFloat(record.get("unchanged_recall"));
 
-        batchArgs.add(
+      } catch (IOException e) {
-            new Object[] {
+        throw new RuntimeException(e);
-              modelIds.getFirst(),
-              epoch,
-              aAcc,
-              mFscore,
-              mPrecision,
-              mRecall,
-              mIoU,
-              mAcc,
-              changed_fscore,
-              changed_precision,
-              changed_recall,
-              unchanged_fscore,
-              unchanged_precision,
-              unchanged_recall
-            });
       }
 
-      modelTrainMetricsJobCoreService.insertModelMetricsValidation(batchArgs);
+      modelTrainMetricsJobCoreService.updateModelMetricsTrainSaveYn(
-
+          modelInfo.getModelId(), "step1");
-    } catch (IOException e) {
-      throw new RuntimeException(e);
     }
-
-    modelTrainMetricsJobCoreService.updateModelMetricsTrainSaveYn(modelIds.getFirst(), "step1");
   }
 }