데이터셋 1개일 때 심볼릭 링크 생성하지 않게 수정

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

@@ -176,6 +176,8 @@ public class ModelTrainMngDto {
 
     private String requestPath;
     private String responsePath;
+    private String tmpFileStatus;
+    private ZonedDateTime tmpFileEndDttm;
   }
 
   @Getter

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

@@ -305,7 +305,19 @@ public class ModelTrainMngService {
     modelTrainMngCoreService.saveModelConfig(modelId, req.getModelConfig());
 
     // 데이터셋 임시파일 생성
+    List<Long> datasetList = null;
+    if (req.getTrainingDataset() != null) {
+      datasetList = req.getTrainingDataset().getDatasetList();
+    }
+
+    boolean isSingleDataset = datasetList != null && datasetList.size() == 1;
+
+    // 데이터셋 1개만 선택한 경우는 symbolic link 미생성 해도 됨 -> train 호출 시 그냥 데이터셋 request 경로로 호출
+    if (isSingleDataset) {
+      trainJobService.updateRequestPath(modelUuid, datasetList);
+    } else {
       trainJobService.createTmpFile(modelUuid);
+    }
     return modelUuid;
   }
 

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

@@ -180,6 +180,9 @@ public class ModelTrainMngCoreService {
     if (req.getRequestPath() != null && !req.getRequestPath().isEmpty()) {
       entity.setRequestPath(req.getRequestPath());
     }
+
+    entity.setTmpFileStatus(req.getTmpFileStatus());
+    entity.setTmpFileEndDttm(req.getTmpFileEndDttm());
   }
 
   /**
@@ -673,4 +676,36 @@ public class ModelTrainMngCoreService {
   public List<ModelTrainLinkDto> findDatasetTestPath(Long modelId) {
     return modelDatasetMapRepository.findDatasetTestPath(modelId);
   }
+
+  public void updateTrainRequestPath(Long modelId, String datasetUid) {
+    ModelMasterEntity entity =
+        modelMngRepository
+            .findById(modelId)
+            .orElseThrow(() -> new CustomApiException("NOT_FOUND_DATA", HttpStatus.NOT_FOUND));
+
+    // 임시폴더 UID업데이트
+    entity.setRequestPath(datasetUid);
+    entity.setReqTmpYn(false); // false 인 것은 train, test 실행 시 docker 명령어에 request 폴더를 바라보게 할 예정
+  }
+
+  public void updateTmpFileStatusStart(Long modelId) {
+    ModelMasterEntity entity =
+        modelMngRepository
+            .findById(modelId)
+            .orElseThrow(() -> new CustomApiException("NOT_FOUND_DATA", HttpStatus.NOT_FOUND));
+
+    entity.setReqTmpYn(true);
+    entity.setTmpFileStatus("IN_PROGRESS");
+    entity.setTmpFileStartDttm(ZonedDateTime.now());
+  }
+
+  public void updateTmpFileStatusFail(Long modelId, String message) {
+    ModelMasterEntity entity =
+        modelMngRepository
+            .findById(modelId)
+            .orElseThrow(() -> new CustomApiException("NOT_FOUND_DATA", HttpStatus.NOT_FOUND));
+
+    entity.setTmpFileStatus("FAIL");
+    entity.setTmpFileErrMessage(message);
+  }
 }

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

@@ -121,6 +121,21 @@ public class ModelMasterEntity {
   @Column(name = "packing_end_dttm")
   private ZonedDateTime packingEndDttm;
 
+  @Column(name = "req_tmp_yn")
+  private Boolean reqTmpYn;
+
+  @Column(name = "tmp_file_status")
+  private String tmpFileStatus;
+
+  @Column(name = "tmp_file_start_dttm")
+  private ZonedDateTime tmpFileStartDttm;
+
+  @Column(name = "tmp_file_end_dttm")
+  private ZonedDateTime tmpFileEndDttm;
+
+  @Column(name = "tmp_file_err_message", columnDefinition = "TEXT")
+  private String tmpFileErrMessage;
+
   public ModelTrainMngDto.Basic toDto() {
     return new ModelTrainMngDto.Basic(
         this.id,

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

@@ -189,7 +189,8 @@ public class ModelMngRepositoryImpl implements ModelMngRepositoryCustom {
                 modelHyperParamEntity.hueDelta,
                 Expressions.nullExpression(Integer.class),
                 Expressions.nullExpression(String.class),
-                modelHyperParamEntity.uuid))
+                modelHyperParamEntity.uuid,
+                modelMasterEntity.reqTmpYn))
         .from(modelMasterEntity)
         .leftJoin(modelHyperParamEntity)
         .on(modelHyperParamEntity.id.eq(modelMasterEntity.hyperParamId))

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

@@ -15,6 +15,7 @@ public class EvalRunRequest {
   private Integer timeoutSeconds;
   private String datasetFolder;
   private String outputFolder;
+  private Boolean reqTmpYn;
 
   public String getOutputFolder() {
     return this.outputFolder.toString();

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

@@ -84,6 +84,8 @@ public class TrainRunRequest {
 
   private UUID uuid;
 
+  private Boolean reqTmpYn; // tmp 심볼릭 링크를 쓰는지 아닌지 여부
+
   public String getOutputFolder() {
     return String.valueOf(this.outputFolder);
   }

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

@@ -271,7 +271,11 @@ public class DockerTrainService {
     c.add("-v");
     c.add(basePath + ":" + basePath); // 심볼릭 링크와 연결되는 실제 파일 경로도 마운트를 해줘야 함
     c.add("-v");
-    c.add(symbolicDir + ":/data"); // 요청할경로
+    if (req.getReqTmpYn()) {
+      c.add(symbolicDir + ":/data"); // 요청할경로 : tmp 심볼릭 사용하는 것이니 symbolicDir로 호출
+    } else {
+      c.add(requestDir + ":/data"); // 요청할경로 : tmp 심볼릭 사용하지 않으니 request로 호출
+    }
     c.add("-v");
     c.add(responseDir + ":/checkpoints"); // 저장될경로
 
@@ -472,8 +476,13 @@ public class DockerTrainService {
 
     c.add("-v");
     c.add(basePath + ":" + basePath); // 심볼릭 링크와 연결되는 실제 파일 경로도 마운트를 해줘야 함
+
     c.add("-v");
-    c.add(basePath + "/tmp:/data");
+    if (req.getReqTmpYn()) {
+      c.add(symbolicDir + ":/data"); // tmp 사용하는 모델은 심볼릭 링크
+    } else {
+      c.add(requestDir + ":/data"); // tmp 사용하지 않는 모델은 request 경로
+    }
 
     c.add("-v");
     c.add(responseDir + ":/checkpoints");

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

@@ -269,7 +269,7 @@ public class ModelTestMetricsJobService {
           zipFiles(zipFileList, individualZipPath);
 
           log.info(
-              "✅ 개별 ZIP 생성 완료: fileName={}, pthFile={}, size={} bytes",
+              "개별 ZIP 생성 완료: fileName={}, pthFile={}, size={} bytes",
               individualZipName,
               pthFileName,
               Files.size(individualZipPath));

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

@@ -204,6 +204,18 @@ public class TrainJobService {
     return jobId;
   }
 
+  /**
+   * 데이터셋 1개일 때, 파일 경로 업데이트
+   *
+   * @param modelUuid
+   * @param datasetList
+   */
+  public void updateRequestPath(UUID modelUuid, List<Long> datasetList) {
+    Long modelId = modelTrainMngCoreService.findModelIdByUuid(modelUuid);
+    List<String> datasetUid = modelTrainMngCoreService.findDatasetUid(datasetList);
+    modelTrainMngCoreService.updateTrainRequestPath(modelId, datasetUid.getFirst());
+  }
+
   private enum ResumeMode {
     NONE, // 새로 시작
     REQUIRE // 이어하기
@@ -274,6 +286,9 @@ public class TrainJobService {
     List<String> uids = modelTrainMngCoreService.findDatasetUid(datasetIds);
 
     try {
+      // 1. 시작 상태 업데이트
+      modelTrainMngCoreService.updateTmpFileStatusStart(modelId);
+
       // 데이터셋 심볼링크 생성
       //      String pathUid = tmpDatasetService.buildTmpDatasetSymlink(raw, uids);
       // train path 모델 클래스별 조회
@@ -298,6 +313,8 @@ public class TrainJobService {
 
       ModelTrainMngDto.UpdateReq updateReq = new ModelTrainMngDto.UpdateReq();
       updateReq.setRequestPath(raw);
+      updateReq.setTmpFileStatus("COMPLETE");
+      updateReq.setTmpFileEndDttm(ZonedDateTime.now());
 
       // 학습모델을 수정한다.
       modelTrainMngCoreService.updateModelMaster(modelId, updateReq);
@@ -311,6 +328,9 @@ public class TrainJobService {
           (uids == null ? null : uids.size()),
           e);
 
+      // 3. 실패 처리
+      modelTrainMngCoreService.updateTmpFileStatusFail(modelId, e.getMessage());
+
       // 런타임 예외로 래핑하되, 메시지에 핵심 정보 포함
       throw new CustomApiException(
           "INTERNAL_SERVER_ERROR", HttpStatus.INTERNAL_SERVER_ERROR, "임시 데이터셋 생성에 실패했습니다.");

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

@@ -87,6 +87,7 @@ public class TrainJobWorker {
         evalReq.setTimeoutSeconds(null);
         evalReq.setDatasetFolder(datasetFolder);
         evalReq.setOutputFolder(outputFolder);
+        evalReq.setReqTmpYn((Boolean) params.get("reqTmpYn"));
         log.info("[JOB] selected test epoch={}", epoch);
 
         // 도커 실행 후 로그 수집