welcome

src/main/java/com/kamco/cd/training/config/StartupLogger.java

@@ -57,7 +57,7 @@ public class StartupLogger {
             """
 
           ╔════════════════════════════════════════════════════════════════════════════════╗
-          ║                    🚀 APPLICATION STARTUP INFORMATION    2                     ║
+          ║                    🚀 APPLICATION STARTUP INFORMATION    3                     ║
           ╠════════════════════════════════════════════════════════════════════════════════╣
           ║  PROFILE CONFIGURATION                                                         ║
           ╠────────────────────────────────────────────────────────────────────────────────╣

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

@@ -48,7 +48,7 @@ public class ModelTrainDetailApiController {
   private final ModelTrainDetailService modelTrainDetailService;
   private final RangeDownloadResponder rangeDownloadResponder;
 
-  @Value("${train.docker.responseDir}")
+  @Value("${train.docker.response_dir}")
   private String responseDir;
 
   @Operation(summary = "모델학습관리> 모델관리 > 상세정보탭 > 학습 진행정보", description = "학습 진행정보, 모델학습 정보 API")

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

@@ -53,7 +53,7 @@ public class ModelTrainDetailService {
   private final ModelTrainDetailCoreService modelTrainDetailCoreService;
   private final ModelTrainMngCoreService mngCoreService;
 
-  @Value("${train.docker.responseDir}")
+  @Value("${train.docker.response_dir}")
   private String responseDir;
 
   /**

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

@@ -46,11 +46,14 @@ public class ModelTrainMngService {
   private final TrainJobService trainJobService;
   private final ModelTrainDetailService modelTrainDetailService;
 
-  @Value("${train.docker.basePath}")
+  @Value("${train.docker.base_path}")
   private String basePath;
 
-  @Value("${train.docker.responseDir}")
+  @Value("${train.docker.response_dir}")
   private String responseDir;
+  @Value("${train.docker.symbolic_link_dir}")
+  private String symbolicDir;
+
 
   /**
    * 모델학습 조회
@@ -80,7 +83,7 @@ public class ModelTrainMngService {
     }
 
     // ===== 2. 경로 생성 =====
-    Path tmpBase = Path.of(basePath, "tmp").toAbsolutePath().normalize();
+    Path tmpBase = Path.of(symbolicDir).toAbsolutePath().normalize();
     Path tmp = tmpBase.resolve(model.getRequestPath()).normalize();
 
     Path responseBase = Paths.get(responseDir).toAbsolutePath().normalize();

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

@@ -23,11 +23,11 @@ import org.springframework.stereotype.Service;
 public class DataSetCountersService {
   private final ModelTrainMngCoreService modelTrainMngCoreService;
 
-  @Value("${train.docker.requestDir}")
+  @Value("${train.docker.request_dir}")
   private String requestDir;
 
-  @Value("${train.docker.basePath}")
+  @Value("${train.docker.symbolic_link_dir}")
-  private String trainBaseDir;
+  private String symbolicDir;
 
   public String getCount(Long modelId) {
     ModelTrainMngDto.Basic basic = modelTrainMngCoreService.findModelById(modelId);
@@ -45,7 +45,7 @@ public class DataSetCountersService {
       }
 
       // tmp
-      Path tmpPath = Path.of(trainBaseDir, "tmp", basic.getRequestPath());
+      Path tmpPath = Path.of(symbolicDir, basic.getRequestPath());
 
       // 차이나는거
       diffMergedRequestsVsTmp(uids, tmpPath);

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

@@ -31,27 +31,26 @@ public class DockerTrainService {
   private String image;
 
   // 학습 요청 데이터가 위치한 호스트 디렉토리
-  @Value("${train.docker.requestDir}")
+  @Value("${train.docker.request_dir}")
   private String requestDir;
 
   // 학습 결과가 저장될 호스트 디렉토리
-  @Value("${train.docker.responseDir}")
+  @Value("${train.docker.response_dir}")
   private String responseDir;
 
-  // 컨테이너 이름 prefix
-  @Value("${train.docker.containerPrefix}")
-  private String containerPrefix;
-
   // 공유메모리 사이즈 설정 (대용량 학습시 필요)
-  @Value("${train.docker.shmSize:16g}")
+  @Value("${train.docker.shm_size:16g}")
   private String shmSize;
 
   // data 경로 request,response 상위 폴더
-  @Value("${train.docker.basePath}")
+  @Value("${train.docker.base_path}")
   private String basePath;
 
+  @Value("${train.docker.symbolic_link_dir}")
+  private String symbolicDir;
+
   // IPC host 사용 여부
-  @Value("${train.docker.ipcHost:true}")
+  @Value("${train.docker.ipc_host:true}")
   private boolean ipcHost;
 
   @Value("${spring.profiles.active}")
@@ -260,12 +259,12 @@ public class DockerTrainService {
     c.add("NCCL_SOCKET_IFNAME=eth0");
 
     // 요청/결과 디렉토리 볼륨 마운트
-//    c.add("-v");
-//    c.add(basePath + ":" + basePath); // 심볼릭 링크와 연결되는 실제 파일 경로도 마운트를 해줘야 함
     c.add("-v");
-    c.add(basePath + "/tmp:/data");
+    c.add(basePath + ":" + basePath); // 심볼릭 링크와 연결되는 실제 파일 경로도 마운트를 해줘야 함
     c.add("-v");
-    c.add(responseDir + ":/checkpoints");
+    c.add(symbolicDir + ":/data");    //요청할경로
+    c.add("-v");
+    c.add(responseDir + ":/checkpoints"); //저장될경로
 
     // 표준입력 유지 (-it 대신 -i만 사용)
     c.add("-i");

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

@@ -50,7 +50,7 @@ public class JobRecoveryOnStartupService {
    *
    * <p>컨테이너가 --rm 으로 삭제된 경우에도 이 경로에 val.csv / *.pth 등이 남아있으면 정상 종료 여부를 "파일 기반"으로 판정합니다.
    */
-  @Value("${train.docker.responseDir}")
+  @Value("${train.docker.response_dir}")
   private String responseDir;
 
   /**

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

@@ -42,7 +42,7 @@ public class ModelTestMetricsJobService {
   private String profile;
 
   // 학습 결과가 저장될 호스트 디렉토리
-  @Value("${train.docker.responseDir}")
+  @Value("${train.docker.response_dir}")
   private String responseDir;
 
   @Value("${file.pt-path}")

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

@@ -33,7 +33,7 @@ public class ModelTrainMetricsJobService {
   private String profile;
 
   // 학습 결과가 저장될 호스트 디렉토리
-  @Value("${train.docker.responseDir}")
+  @Value("${train.docker.response_dir}")
   private String responseDir;
 
   /** 결과 csv 파일 정보 등록 */

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

@@ -14,12 +14,11 @@ import org.springframework.stereotype.Service;
 @RequiredArgsConstructor
 public class TmpDatasetService {
 
-  @Value("${train.docker.requestDir}")
+  @Value("${train.docker.request_dir}")
   private String requestDir;
 
-  @Value("${train.docker.basePath}")
+  @Value("${train.docker.symbolic_link_dir}")
-  private String trainBaseDir;
+  private String symbolicDir;
-
   /**
    * train, val, test 폴더별로 link
    *
@@ -36,7 +35,7 @@ public class TmpDatasetService {
       throw new IOException("links is empty");
     }
 
-    Path tmp = Path.of(trainBaseDir, "tmp", uid);
+    Path tmp = Path.of(symbolicDir, uid);
 
     long linksMade = 0;
 
@@ -115,7 +114,7 @@ public class TmpDatasetService {
     log.info("requestDir(raw)={}", requestDir);
 
     Path BASE = toPath(requestDir);
-    Path tmp = Path.of(trainBaseDir, "tmp", uid);
+    Path tmp = Path.of(symbolicDir, uid);
 
     log.info("BASE={}", BASE);
     log.info("BASE exists? {}", Files.isDirectory(BASE));

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

@@ -40,7 +40,7 @@ public class TrainJobService {
   private final DataSetCountersService dataSetCounters;
 
   // 학습 결과가 저장될 호스트 디렉토리
-  @Value("${train.docker.responseDir}")
+  @Value("${train.docker.response_dir}")
   private String responseDir;
 
   public Long getModelIdByUuid(UUID uuid) {

src/main/resources/application-dev.yml

@@ -5,14 +5,10 @@ spring:
 
   jpa:
     show-sql: true
-    hibernate:
-      ddl-auto: validate
     properties:
       hibernate:
-        default_batch_fetch_size: 100     # ✅ 성능 - N+1 쿼리 방지
+        use_sql_comments: true  # ⚠️ 선택 - SQL에 주석 추가 (디버깅용)
-        order_updates: true               # ✅ 성능 - 업데이트 순서 정렬로 데드락 방지
+        format_sql: true        # ⚠️ 선택 - SQL 포맷팅 (가독성)
-        use_sql_comments: true            # ⚠️ 선택 - SQL에 주석 추가 (디버깅용)
-        format_sql: true                  # ⚠️ 선택 - SQL 포맷팅 (가독성)
 
   datasource:
     url: jdbc:postgresql://192.168.2.127:15432/kamco_training_db
@@ -21,14 +17,6 @@ spring:
     hikari:
       minimum-idle: 10
       maximum-pool-size: 20
-      connection-timeout: 60000        # 60초 연결 타임아웃
-      idle-timeout: 300000            # 5분 유휴 타임아웃
-      max-lifetime: 1800000           # 30분 최대 수명
-      leak-detection-threshold: 60000  # 연결 누수 감지
-
-  transaction:
-    default-timeout: 300              # 5분 트랜잭션 타임아웃
-
 
 jwt:
   secret: "kamco_token_dev_dfc6446d-68fc-4eba-a2ff-c80a14a0bf3a"
@@ -37,23 +25,12 @@ jwt:
 
 token:
   refresh-cookie-name: kamco-dev   # 개발용 쿠키 이름
-  refresh-cookie-secure: false   # 로컬 http 테스트면 false
+  refresh-cookie-secure: false     # 로컬 http 테스트면 false
-
-springdoc:
-  swagger-ui:
-    persist-authorization: true # 스웨거 새로고침해도 토큰 유지, 로컬스토리지에 저장
-
-member:
-  init_password: kamco1234!
 
 swagger:
   local-port: 8080
 
 file:
-  sync-root-dir: /app/original-images/
-  sync-tmp-dir: ${file.sync-root-dir}tmp/
-  sync-file-extention: tfw,tif
-
   dataset-dir: /home/kcomu/data/request/
   dataset-tmp-dir: ${file.dataset-dir}tmp/
 
@@ -63,10 +40,10 @@ file:
 train:
   docker:
     image: kamco-cd-train:latest
-    requestDir: /home/kcomu/data/request
+    base_path: /home/kcomu/data
-    responseDir: /home/kcomu/data/response
+    request_dir: ${train.docker.base_path}/request
-    basePath: /home/kcomu/data
+    response_dir: ${train.docker.base_path}/response
-    containerPrefix: kamco-cd-train
+    symbolic_link_dir: ${train.docker.base_path}/tmp
-    shmSize: 16g
+    container_prefix: kamco-cd-train
-    ipcHost: true
+    shm_size: 16g
-
+    ipc_host: true

src/main/resources/application-prod.yml

@@ -3,15 +3,6 @@ spring:
     activate:
       on-profile: prod
 
-  jpa:
-    show-sql: false  # 운영 환경에서는 성능을 위해 비활성화
-    hibernate:
-      ddl-auto: validate
-    properties:
-      hibernate:
-        default_batch_fetch_size: 100  # N+1 쿼리 방지
-        order_updates: true  # 업데이트 순서 정렬로 데드락 방지
-
   datasource:
     url: jdbc:postgresql://kamco-cd-train-db:5432/kamco_training_db
     username: kamco_training_user
@@ -19,13 +10,6 @@ spring:
     hikari:
       minimum-idle: 10
       maximum-pool-size: 20
-      connection-timeout: 60000        # 60초 연결 타임아웃
-      idle-timeout: 300000            # 5분 유휴 타임아웃
-      max-lifetime: 1800000           # 30분 최대 수명
-      leak-detection-threshold: 60000  # 연결 누수 감지
-
-  transaction:
-    default-timeout: 300              # 5분 트랜잭션 타임아웃
 
 jwt:
   # ⚠️ 운영 환경에서는 반드시 별도의 강력한 시크릿 키를 사용하세요
@@ -37,36 +21,23 @@ token:
   refresh-cookie-name: kamco
   refresh-cookie-secure: true  # HTTPS 환경에서 필수
 
-springdoc:
-  swagger-ui:
-    persist-authorization: true # 스웨거 새로고침해도 토큰 유지, 로컬스토리지에 저장
-
-member:
-  init_password: kamco1234!
-
 swagger:
   local-port: 9080
 
 file:
-#  sync-root-dir: /app/original-images/
+  dataset-dir: /data/training/request/
-#  sync-tmp-dir: ${file.sync-root-dir}tmp/
-#  sync-file-extention: tfw,tif
-
-  dataset-dir: /data/request/
   dataset-tmp-dir: ${file.dataset-dir}tmp/
 
-  pt-path: /data/response/v6-cls-checkpoints/
+  pt-path: /data/training/response/v6-cls-checkpoints/
   pt-FileName: yolov8_6th-6m.pt
 
 train:
   docker:
     image: kamco-cd-train:latest
-    requestDir: /data/request
+    base_path: /data/training
-    responseDir: /data/response
+    request_dir: ${train.docker.base_path}/request
-    basePath: /data
+    response_dir: ${train.docker.base_path}/response
-    containerPrefix: kamco-cd-train
+    symbolic_link_dir: ${train.docker.base_path}/tmp
-    shmSize: 16g
+    container_prefix: kamco-cd-train
-    ipcHost: true
+    shm_size: 16g
-
+    ipc_host: true
-
-

src/main/resources/application.yml

@@ -10,25 +10,25 @@ spring:
   datasource:
     driver-class-name: org.postgresql.Driver
     hikari:
-      minimum-idle: 2
+      connection-timeout: 60000        # 60초 연결 타임아웃
-      maximum-pool-size: 2
+      idle-timeout: 300000             # 5분 유휴 타임아웃
-      connection-timeout: 20000
+      max-lifetime: 1800000            # 30분 최대 수명
-      idle-timeout: 300000
+      leak-detection-threshold: 60000  # 연결 누수 감지
-      max-lifetime: 1800000
+      # minimum-idle, maximum-pool-size 는 프로파일별 설정
-      leak-detection-threshold: 60000
 
   jpa:
     hibernate:
-      ddl-auto: update  # 스키마 자동 관리 활성화
+      ddl-auto: validate
     properties:
       hibernate:
-        javax:
+        jakarta:
           persistence:
             validation:
               mode: none
         jdbc:
           batch_size: 50
         default_batch_fetch_size: 100
+        order_updates: true
     show-sql: false
 
   servlet:
@@ -36,6 +36,10 @@ spring:
       enabled: true
       max-file-size: 10GB
       max-request-size: 10GB
+
+  transaction:
+    default-timeout: 300  # 5분 트랜잭션 타임아웃
+
 logging:
   level:
     org:
@@ -44,7 +48,12 @@ logging:
         security: INFO
     root: INFO
 
+springdoc:
+  swagger-ui:
+    persist-authorization: true  # 스웨거 새로고침해도 토큰 유지
 
+member:
+  init_password: kamco1234!
 
 # actuator
 management:

src/test/resources/application.yml

@@ -23,9 +23,7 @@ spring:
       ddl-auto: none  # 테스트 환경에서는 DDL 자동 생성/수정 비활성화
     properties:
       hibernate:
-        hbm2ddl:
+        jakarta:
-          auto: none
-        javax:
           persistence:
             validation:
               mode: none
@@ -74,4 +72,3 @@ token:
 
 member:
   init_password: test1234!
-