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

@@ -1,6 +1,6 @@
 package com.kamco.cd.training.postgres.core;
 
-import com.kamco.cd.training.postgres.repository.schedule.ModelTestMetricsJobRepository;
+import com.kamco.cd.training.postgres.repository.train.ModelTestMetricsJobRepository;
 import java.util.List;
 import lombok.RequiredArgsConstructor;
 import org.springframework.stereotype.Service;

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

@@ -47,7 +47,8 @@ public class ModelTrainJobCoreService {
 
   /** 실행 시작 처리 */
   @Transactional
-  public void markRunning(Long jobId, String containerName, String logPath, String lockedBy) {
+  public void markRunning(
+      Long jobId, String containerName, String logPath, String lockedBy, Integer totalEpoch) {
     ModelTrainJobEntity job =
         modelTrainJobRepository
             .findById(jobId)
@@ -59,6 +60,10 @@ public class ModelTrainJobCoreService {
     job.setStartedDttm(ZonedDateTime.now());
     job.setLockedDttm(ZonedDateTime.now());
     job.setLockedBy(lockedBy);
+
+    if (totalEpoch != null) {
+      job.setTotalEpoch(totalEpoch);
+    }
   }
 
   /** 성공 처리 */

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

@@ -1,6 +1,6 @@
 package com.kamco.cd.training.postgres.core;
 
-import com.kamco.cd.training.postgres.repository.schedule.ModelTrainMetricsJobRepository;
+import com.kamco.cd.training.postgres.repository.train.ModelTrainMetricsJobRepository;
 import java.util.List;
 import lombok.RequiredArgsConstructor;
 import org.springframework.stereotype.Service;

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

@@ -78,6 +78,12 @@ public class ModelTrainJobEntity {
   @Column(name = "locked_by", length = 100)
   private String lockedBy;
 
+  @Column(name = "total_epoch")
+  private Integer totalEpoch;
+
+  @Column(name = "current_epoch")
+  private Integer currentEpoch;
+
   public ModelTrainJobDto toDto() {
     return new ModelTrainJobDto(
         this.id,
@@ -90,6 +96,8 @@ public class ModelTrainJobEntity {
         this.paramsJson,
         this.queuedDttm,
         this.startedDttm,
-        this.finishedDttm);
+        this.finishedDttm,
+        this.totalEpoch,
+        this.currentEpoch);
   }
 }

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

@@ -103,7 +103,7 @@ public class ModelMngRepositoryImpl implements ModelMngRepositoryCustom {
                 modelHyperParamEntity.gpuCnt,
                 modelHyperParamEntity.learningRate,
                 modelHyperParamEntity.backbone,
-                modelHyperParamEntity.epochCnt,
+                modelConfigEntity.epochCount,
                 modelHyperParamEntity.trainNumWorkers,
                 modelHyperParamEntity.valNumWorkers,
                 modelHyperParamEntity.testNumWorkers,
@@ -135,7 +135,8 @@ public class ModelMngRepositoryImpl implements ModelMngRepositoryCustom {
                 modelHyperParamEntity.saturationRange,
                 modelHyperParamEntity.hueDelta,
                 Expressions.nullExpression(Integer.class),
-                Expressions.nullExpression(String.class)))
+                Expressions.nullExpression(String.class),
+                modelHyperParamEntity.uuid))
         .from(modelMasterEntity)
         .leftJoin(modelHyperParamEntity)
         .on(modelHyperParamEntity.id.eq(modelMasterEntity.hyperParamId))

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

@@ -1,4 +1,4 @@
-package com.kamco.cd.training.postgres.repository.schedule;
+package com.kamco.cd.training.postgres.repository.train;
 
 import com.kamco.cd.training.postgres.entity.ModelMetricsTestEntity;
 import org.springframework.data.jpa.repository.JpaRepository;

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

@@ -1,4 +1,4 @@
-package com.kamco.cd.training.postgres.repository.schedule;
+package com.kamco.cd.training.postgres.repository.train;
 
 import java.util.List;
 

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

@@ -1,4 +1,4 @@
-package com.kamco.cd.training.postgres.repository.schedule;
+package com.kamco.cd.training.postgres.repository.train;
 
 import static com.kamco.cd.training.postgres.entity.QModelMasterEntity.modelMasterEntity;
 

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

@@ -1,4 +1,4 @@
-package com.kamco.cd.training.postgres.repository.schedule;
+package com.kamco.cd.training.postgres.repository.train;
 
 import com.kamco.cd.training.postgres.entity.ModelMetricsTrainEntity;
 import org.springframework.data.jpa.repository.JpaRepository;

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

@@ -1,4 +1,4 @@
-package com.kamco.cd.training.postgres.repository.schedule;
+package com.kamco.cd.training.postgres.repository.train;
 
 import java.util.List;
 

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

@@ -1,4 +1,4 @@
-package com.kamco.cd.training.postgres.repository.schedule;
+package com.kamco.cd.training.postgres.repository.train;
 
 import static com.kamco.cd.training.postgres.entity.QModelMasterEntity.modelMasterEntity;
 

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

@@ -20,4 +20,6 @@ public class ModelTrainJobDto {
   private ZonedDateTime queuedDttm;
   private ZonedDateTime startedDttm;
   private ZonedDateTime finishedDttm;
+  private Integer totalEpoch;
+  private Integer currentEpoch;
 }

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

@@ -82,11 +82,17 @@ public class TrainRunRequest {
   private Integer timeoutSeconds;
   private String resumeFrom;
 
+  private UUID uuid;
+
   public String getDatasetFolder() {
-    return String.valueOf(datasetFolder);
+    return String.valueOf(this.datasetFolder);
   }
 
   public String getOutputFolder() {
-    return String.valueOf(outputFolder);
+    return String.valueOf(this.outputFolder);
+  }
+
+  public String getUuid() {
+    return String.valueOf(this.uuid);
   }
 }

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

@@ -9,6 +9,8 @@ import java.nio.charset.StandardCharsets;
 import java.util.ArrayList;
 import java.util.List;
 import java.util.concurrent.TimeUnit;
+import java.util.regex.Matcher;
+import java.util.regex.Pattern;
 import lombok.extern.log4j.Log4j2;
 import org.springframework.beans.factory.annotation.Value;
 import org.springframework.stereotype.Service;
@@ -57,23 +59,59 @@ public class DockerTrainService {
     Process p = pb.start();
 
     // 로그는 별도 스레드에서 읽기 (메인 스레드가 readLine에 안 걸리게)
-    StringBuilder log = new StringBuilder();
+    StringBuilder logBuilder = new StringBuilder();
+
+    Pattern epochPattern = Pattern.compile("(?i)\\bepoch\\s*\\[?(\\d+)\\s*/\\s*(\\d+)\\]?\\b");
+
     Thread logThread =
         new Thread(
             () -> {
               try (BufferedReader br =
                   new BufferedReader(
                       new InputStreamReader(p.getInputStream(), StandardCharsets.UTF_8))) {
+
                 String line;
                 while ((line = br.readLine()) != null) {
-                  synchronized (log) {
+
-                    log.append(line).append('\n');
+                  // 1) 로그 누적
+                  synchronized (logBuilder) {
+                    logBuilder.append(line).append('\n');
+                  }
+
+                  // 2) epoch 감지 + DB 업데이트
+                  Matcher m = epochPattern.matcher(line);
+                  if (m.find()) {
+                    int currentEpoch = Integer.parseInt(m.group(1));
+                    int totalEpoch = Integer.parseInt(m.group(2));
+
+                    log.info("[EPOCH] container={} {}/{}", containerName, currentEpoch, totalEpoch);
+
+                    // TODO 실행중인 에폭 저장 필요하면 만들어야함
+                    // TODO 하지만 여기서 트랜젝션 걸리는 db 작업하면 안좋다고하는데..?
+                    //                modelTrainMngCoreService.updateCurrentEpoch(modelId,
+                    // currentEpoch, totalEpoch);
                   }
                 }
-              } catch (Exception ignored) {
+              } catch (Exception e) {
+                log.warn("logThread error: {}", e.toString());
               }
             },
             "train-log-" + containerName);
+    //        new Thread(
+    //            () -> {
+    //              try (BufferedReader br =
+    //                  new BufferedReader(
+    //                      new InputStreamReader(p.getInputStream(), StandardCharsets.UTF_8))) {
+    //                String line;
+    //                while ((line = br.readLine()) != null) {
+    //                  synchronized (log) {
+    //                    log.append(line).append('\n');
+    //                  }
+    //                }
+    //              } catch (Exception ignored) {
+    //              }
+    //            },
+    //            "train-log-" + containerName);
 
     logThread.setDaemon(true);
     logThread.start();
@@ -90,8 +128,8 @@ public class DockerTrainService {
       killContainer(containerName);
 
       String logs;
-      synchronized (log) {
+      synchronized (logBuilder) {
-        logs = log.toString();
+        logs = logBuilder.toString();
       }
 
       return new TrainRunResult(
@@ -108,8 +146,8 @@ public class DockerTrainService {
     logThread.join(500);
 
     String logs;
-    synchronized (log) {
+    synchronized (logBuilder) {
-      logs = log.toString();
+      logs = logBuilder.toString();
     }
 
     return new TrainRunResult(null, containerName, exit, exit == 0 ? "SUCCESS" : "FAILED", logs);
@@ -131,7 +169,7 @@ public class DockerTrainService {
 
     // 컨테이너 이름 지정
     c.add("--name");
-    c.add(containerName + "-" + req.getOutputFolder().substring(0, 8));
+    c.add(containerName + "-" + req.getUuid().substring(0, 8));
 
     // 실행 종료 시 자동 삭제
     c.add("--rm");
@@ -183,7 +221,7 @@ public class DockerTrainService {
     c.add("/workspace/change-detection-code/train_wrapper.py");
 
     // ===== 기본 파라미터 =====
-    addArg(c, "--dataset-folder", req.getDatasetFolder());
+    addArg(c, "--dataset-folder", "4BDBBDF99D04477A927CC9EBA760B845" /*req.getDatasetFolder()*/);
     addArg(c, "--output-folder", req.getOutputFolder());
     addArg(c, "--input-size", req.getInputSize());
     addArg(c, "--crop-size", req.getCropSize());

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

@@ -1,4 +1,4 @@
-package com.kamco.cd.training.schedule.service;
+package com.kamco.cd.training.train.service;
 
 import com.kamco.cd.training.postgres.core.ModelTestMetricsJobCoreService;
 import java.io.BufferedReader;

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

@@ -1,4 +1,4 @@
-package com.kamco.cd.training.schedule.service;
+package com.kamco.cd.training.train.service;
 
 import com.kamco.cd.training.postgres.core.ModelTrainMetricsJobCoreService;
 import java.io.BufferedReader;

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

@@ -31,7 +31,7 @@ public class TestJobService {
 
     Map<String, Object> params = new java.util.LinkedHashMap<>();
     params.put("jobType", "EVAL");
-    params.put("uuid", uuid);
+    params.put("uuid", String.valueOf(uuid));
     params.put("epoch", epoch);
 
     int nextAttemptNo = modelTrainJobCoreService.findMaxAttemptNo(modelId) + 1;

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

@@ -57,6 +57,8 @@ public class TrainJobService {
     @SuppressWarnings("unchecked")
     Map<String, Object> paramsMap = objectMapper.convertValue(trainRunRequest, Map.class);
     paramsMap.put("jobType", "TRAIN");
+    paramsMap.put("uuid", trainRunRequest.getUuid());
+    paramsMap.put("totalEpoch", trainRunRequest.getEpochs());
 
     Long jobId =
         modelTrainJobCoreService.createQueuedJob(

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

@@ -47,9 +47,17 @@ public class TrainJobWorker {
 
     boolean isEval = "EVAL".equals(jobType);
 
-    String containerName = (isEval ? "eval-" : "train-") + jobId;
+    String containerName =
+        (isEval ? "eval-" : "train-") + jobId + "-" + params.get("uuid").toString().substring(0, 8);
 
-    modelTrainJobCoreService.markRunning(jobId, containerName, null, "TRAIN_WORKER");
+    Integer totalEpoch = null;
+    if (params.containsKey("totalEpoch")) {
+      if (params.get("totalEpoch") != null) {
+        totalEpoch = Integer.parseInt(params.get("totalEpoch").toString());
+      }
+    }
+
+    modelTrainJobCoreService.markRunning(jobId, containerName, null, "TRAIN_WORKER", totalEpoch);
 
     try {
       TrainRunResult result;