미사용 목록 주석 추가, 학습데이터 삭제 테스트

Reviewed-on: #176

.gitignore

@@ -72,3 +72,9 @@ docker-compose.override.yml
 *.swo
 *~
 !/CLAUDE.md
+
+### SSL Certificates ###
+nginx/ssl/
+*.crt
+*.key
+*.pem

DEPLOY.md

@@ -0,0 +1,415 @@
+# KAMCO Training API 배포 가이드 (RedHat 9.6)
+
+## 빠른 배포 (Quick Start)
+
+이 문서는 RedHat 9.6 환경에서 HTTPS로 KAMCO Training API를 배포하는 방법을 설명합니다.
+
+**접속 URL**:
+- `https://api.train-kamco.com`
+- `https://train-kamco.com`
+
+## 사전 요구사항
+
+- [x] Docker & Docker Compose 설치
+- [x] Git 설치
+- [x] sudo 권한
+- [x] 포트 80, 443 사용 가능
+
+## 1단계: /etc/hosts 설정
+
+```bash
+# root 권한으로 도메인 추가
+echo "127.0.0.1   api.train-kamco.com train-kamco.com" | sudo tee -a /etc/hosts
+
+# 확인
+cat /etc/hosts | grep train-kamco
+```
+
+**예상 결과**:
+```
+127.0.0.1   api.train-kamco.com train-kamco.com
+```
+
+## 2단계: 방화벽 설정 (필요시)
+
+```bash
+# 방화벽 상태 확인
+sudo firewall-cmd --state
+
+# HTTP/HTTPS 포트 개방
+sudo firewall-cmd --permanent --add-port=80/tcp
+sudo firewall-cmd --permanent --add-port=443/tcp
+
+# 방화벽 재로드
+sudo firewall-cmd --reload
+
+# 확인
+sudo firewall-cmd --list-ports
+```
+
+**예상 결과**: `80/tcp 443/tcp`
+
+## 3단계: 프로젝트 디렉토리로 이동
+
+```bash
+cd /path/to/kamco-train-api
+
+# 현재 위치 확인
+pwd
+# 예상: /home/username/kamco-train-api
+```
+
+## 4단계: 파일 구조 확인
+
+배포 전 필수 파일이 모두 있는지 확인하세요:
+
+```bash
+# SSL 인증서 확인
+ls -la nginx/ssl/
+
+# 예상 결과:
+# train-kamco.com.crt (인증서)
+# train-kamco.com.key (개인 키)
+# openssl.cnf (설정 파일)
+```
+
+```bash
+# Docker Compose 파일 확인
+ls -la docker-compose-prod.yml nginx/nginx.conf
+
+# 예상: 두 파일 모두 존재
+```
+
+## 5단계: Docker 네트워크 생성 (최초 1회)
+
+```bash
+# kamco-cds 네트워크가 있는지 확인
+docker network ls | grep kamco-cds
+
+# 없으면 생성
+docker network create kamco-cds
+```
+
+## 6단계: Docker Compose 배포
+
+```bash
+# 기존 컨테이너 중지 (있는 경우)
+docker-compose -f docker-compose-prod.yml down
+
+# 새로운 이미지 빌드 및 실행
+docker-compose -f docker-compose-prod.yml up -d --build
+
+# 컨테이너 상태 확인
+docker-compose -f docker-compose-prod.yml ps
+```
+
+**예상 결과**:
+```
+NAME                      STATUS
+kamco-cd-nginx           Up (healthy)
+kamco-cd-training-api    Up (healthy)
+```
+
+## 7단계: 배포 확인
+
+### 컨테이너 로그 확인
+
+```bash
+# Nginx 로그
+docker logs kamco-cd-nginx --tail 50
+
+# API 로그
+docker logs kamco-cd-training-api --tail 50
+
+# 실시간 로그 (Ctrl+C로 종료)
+docker-compose -f docker-compose-prod.yml logs -f
+```
+
+### HTTP → HTTPS 리다이렉트 테스트
+
+```bash
+# HTTP 접속 시 HTTPS로 리다이렉트되는지 확인
+curl -I http://api.train-kamco.com
+curl -I http://train-kamco.com
+
+# 예상 결과: 301 Moved Permanently
+# Location: https://api.train-kamco.com/ 또는 https://train-kamco.com/
+```
+
+### HTTPS 헬스체크
+
+```bash
+# -k 플래그: 사설 인증서 경고 무시
+curl -k https://api.train-kamco.com/monitor/health
+curl -k https://train-kamco.com/monitor/health
+
+# 예상 결과: {"status":"UP","components":{...}}
+```
+
+### 브라우저 테스트
+
+브라우저에서 다음 URL에 접속:
+
+- `https://api.train-kamco.com/monitor/health`
+- `https://train-kamco.com/monitor/health`
+
+**사설 인증서 경고**:
+- "안전하지 않음" 경고가 표시되면 **"고급"** → **"계속 진행"** 클릭
+
+## 8단계: SSL 인증서 확인 (선택사항)
+
+```bash
+# 인증서 정보 확인
+openssl x509 -in nginx/ssl/train-kamco.com.crt -text -noout | head -30
+
+# 유효 기간 확인 (100년)
+openssl x509 -in nginx/ssl/train-kamco.com.crt -noout -dates
+
+# SAN (멀티 도메인) 확인
+openssl x509 -in nginx/ssl/train-kamco.com.crt -text -noout | grep -A1 "Subject Alternative Name"
+
+# 예상 결과:
+# X509v3 Subject Alternative Name:
+#     DNS:api.train-kamco.com, DNS:train-kamco.com
+```
+
+## 트러블슈팅
+
+### 문제 1: "Connection refused"
+
+**원인**: 컨테이너가 실행되지 않음
+
+**해결**:
+```bash
+# 컨테이너 상태 확인
+docker ps -a | grep kamco-cd
+
+# 컨테이너 재시작
+docker-compose -f docker-compose-prod.yml restart
+
+# 로그 확인
+docker logs kamco-cd-nginx
+docker logs kamco-cd-training-api
+```
+
+### 문제 2: "502 Bad Gateway"
+
+**원인**: Nginx는 실행 중이지만 API 컨테이너가 준비되지 않음
+
+**해결**:
+```bash
+# API 컨테이너 상태 확인
+docker logs kamco-cd-training-api
+
+# API 헬스체크 (컨테이너 내부에서)
+docker exec kamco-cd-nginx wget -qO- http://kamco-changedetection-api:8080/monitor/health
+
+# API 컨테이너 재시작
+docker-compose -f docker-compose-prod.yml restart kamco-changedetection-api
+```
+
+### 문제 3: "Name or service not known"
+
+**원인**: /etc/hosts에 도메인이 설정되지 않음
+
+**해결**:
+```bash
+# /etc/hosts 확인
+cat /etc/hosts | grep train-kamco
+
+# 없으면 추가
+echo "127.0.0.1   api.train-kamco.com train-kamco.com" | sudo tee -a /etc/hosts
+```
+
+### 문제 4: 포트 80 또는 443이 이미 사용 중
+
+**원인**: 다른 프로세스가 포트를 사용 중
+
+**해결**:
+```bash
+# 포트 사용 확인
+sudo lsof -i :80
+sudo lsof -i :443
+
+# 사용 중인 프로세스 종료 (예: httpd, nginx)
+sudo systemctl stop httpd
+sudo systemctl stop nginx
+
+# Docker Compose 재시작
+docker-compose -f docker-compose-prod.yml restart
+```
+
+### 문제 5: SELinux 권한 오류
+
+**원인**: SELinux가 Docker 볼륨 마운트를 차단
+
+**해결**:
+```bash
+# SELinux 상태 확인
+getenforce
+
+# Permissive 모드로 임시 변경 (재부팅 시 초기화됨)
+sudo setenforce 0
+
+# 영구 변경 (권장하지 않음)
+sudo vi /etc/selinux/config
+# SELINUX=permissive 또는 SELINUX=disabled로 변경
+```
+
+## 컨테이너 관리 명령어
+
+### 시작/중지/재시작
+
+```bash
+# 시작
+docker-compose -f docker-compose-prod.yml up -d
+
+# 중지
+docker-compose -f docker-compose-prod.yml down
+
+# 재시작
+docker-compose -f docker-compose-prod.yml restart
+
+# 특정 서비스만 재시작
+docker-compose -f docker-compose-prod.yml restart nginx
+docker-compose -f docker-compose-prod.yml restart kamco-changedetection-api
+```
+
+### 로그 확인
+
+```bash
+# 전체 로그
+docker-compose -f docker-compose-prod.yml logs
+
+# 특정 서비스 로그
+docker-compose -f docker-compose-prod.yml logs nginx
+docker-compose -f docker-compose-prod.yml logs kamco-changedetection-api
+
+# 실시간 로그
+docker-compose -f docker-compose-prod.yml logs -f
+
+# 마지막 N줄만 보기
+docker logs kamco-cd-nginx --tail 100
+```
+
+### 컨테이너 상태 확인
+
+```bash
+# 실행 중인 컨테이너
+docker-compose -f docker-compose-prod.yml ps
+
+# 상세 정보
+docker inspect kamco-cd-nginx
+docker inspect kamco-cd-training-api
+
+# 리소스 사용량
+docker stats kamco-cd-nginx kamco-cd-training-api
+```
+
+### 컨테이너 내부 접속
+
+```bash
+# Nginx 컨테이너 내부 접속
+docker exec -it kamco-cd-nginx sh
+
+# API 컨테이너 내부 접속
+docker exec -it kamco-cd-training-api sh
+
+# 내부에서 빠져나오기
+exit
+```
+
+## 업데이트 및 재배포
+
+### 코드 업데이트 후 재배포
+
+```bash
+# 1. Git pull (코드 업데이트)
+git pull origin develop
+
+# 2. JAR 파일 빌드 (Jenkins에서 수행하는 경우 생략)
+./gradlew clean build -x test
+
+# 3. 컨테이너 재빌드 및 재시작
+docker-compose -f docker-compose-prod.yml down
+docker-compose -f docker-compose-prod.yml up -d --build
+
+# 4. 로그 확인
+docker-compose -f docker-compose-prod.yml logs -f
+```
+
+### 설정 파일만 변경한 경우
+
+```bash
+# nginx.conf 또는 docker-compose-prod.yml 변경 시
+docker-compose -f docker-compose-prod.yml down
+docker-compose -f docker-compose-prod.yml up -d
+
+# 또는
+docker-compose -f docker-compose-prod.yml restart nginx
+```
+
+## 모니터링
+
+### 헬스체크 엔드포인트
+
+```bash
+# API 헬스체크
+curl -k https://api.train-kamco.com/monitor/health
+
+# 예상 결과:
+# {
+#   "status": "UP",
+#   "components": {
+#     "db": {"status": "UP"},
+#     "diskSpace": {"status": "UP"}
+#   }
+# }
+```
+
+### 시스템 리소스
+
+```bash
+# 디스크 사용량
+df -h
+
+# 메모리 사용량
+free -h
+
+# Docker 이미지 및 컨테이너 용량
+docker system df
+```
+
+## 보안 권장 사항
+
+1. **사설 인증서**: 현재 사설 인증서를 사용 중입니다. 프로덕션 환경에서는 **Let's Encrypt** 또는 **GlobalSign** 같은 공인 인증서 사용을 권장합니다.
+
+2. **방화벽**: 필요한 포트(80, 443)만 개방하고, 불필요한 포트는 차단하세요.
+
+3. **정기 업데이트**: Docker 이미지와 시스템 패키지를 정기적으로 업데이트하세요.
+
+4. **로그 모니터링**: 정기적으로 로그를 확인하여 비정상적인 활동을 감지하세요.
+
+5. **백업**: SSL 인증서 키 파일(`train-kamco.com.key`)과 데이터베이스를 정기적으로 백업하세요.
+
+## 참고 문서
+
+- **SSL 인증서 설정**: [nginx/SSL_SETUP.md](nginx/SSL_SETUP.md)
+- **프로젝트 개요**: [README.md](README.md)
+- **CLAUDE.md**: [CLAUDE.md](CLAUDE.md)
+
+## 지원
+
+문제가 발생하면 다음을 확인하세요:
+1. 컨테이너 로그: `docker-compose -f docker-compose-prod.yml logs`
+2. 컨테이너 상태: `docker-compose -f docker-compose-prod.yml ps`
+3. /etc/hosts 설정: `cat /etc/hosts | grep train-kamco`
+4. 방화벽 상태: `sudo firewall-cmd --list-ports`
+
+---
+
+**배포 완료!** 🎉
+
+접속 URL:
+- `https://api.train-kamco.com`
+- `https://train-kamco.com`

DEPLOYMENT.md

@@ -0,0 +1,443 @@
+# KAMCO Train API - Production Deployment Guide
+
+프로덕션 환경 배포 가이드
+
+## 목차
+- [사전 요구사항](#사전-요구사항)
+- [초기 설정](#초기-설정)
+- [배포 순서](#배포-순서)
+- [개별 서비스 관리](#개별-서비스-관리)
+- [롤백 절차](#롤백-절차)
+- [모니터링 및 헬스체크](#모니터링-및-헬스체크)
+- [트러블슈팅](#트러블슈팅)
+
+---
+
+## 사전 요구사항
+
+### 시스템 요구사항
+- Docker Engine 20.10+
+- Docker Compose 2.0+
+- 최소 메모리: 4GB
+- 디스크 공간: 20GB 이상
+
+### 네트워크 요구사항
+- 도메인 설정:
+  - `train-kamco.com` → 서버 IP (Web UI)
+  - `api.train-kamco.com` → 서버 IP (API)
+- 포트:
+  - 80 (HTTP)
+  - 443 (HTTPS)
+  - 8080 (API - internal)
+  - 3002 (Web - internal)
+
+### 필수 파일
+- SSL 인증서:
+  - `nginx/ssl/train-kamco.com.crt`
+  - `nginx/ssl/train-kamco.com.key`
+- 환경 설정:
+  - `application-prod.yml` (API 설정)
+  - `.env` 파일 (IMAGE_TAG 등)
+
+---
+
+## 초기 설정
+
+### 1. Docker 네트워크 생성
+
+```bash
+# kamco-cds 네트워크 생성 (최초 1회만)
+docker network create kamco-cds
+
+# 네트워크 확인
+docker network ls | grep kamco-cds
+```
+
+### 2. SSL 인증서 배치
+
+```bash
+# 인증서 디렉토리 생성
+mkdir -p nginx/ssl
+
+# 인증서 파일 복사
+cp /path/to/train-kamco.com.crt nginx/ssl/
+cp /path/to/train-kamco.com.key nginx/ssl/
+
+# 권한 설정
+chmod 600 nginx/ssl/train-kamco.com.key
+chmod 644 nginx/ssl/train-kamco.com.crt
+```
+
+### 3. 환경 변수 설정
+
+```bash
+# .env 파일 생성
+cat > .env << EOF
+IMAGE_TAG=latest
+SPRING_PROFILES_ACTIVE=prod
+TZ=Asia/Seoul
+EOF
+```
+
+### 4. 볼륨 디렉토리 생성
+
+```bash
+# 데이터 디렉토리 생성
+mkdir -p ./app/model_output
+mkdir -p ./app/train_dataset
+
+# 권한 설정
+chmod -R 755 ./app
+```
+
+---
+
+## 배포 순서
+
+### 전체 스택 초기 배포
+
+**중요**: 반드시 아래 순서대로 실행해야 합니다.
+
+```bash
+# 1. Nginx 시작
+docker-compose -f docker-compose-nginx.yml up -d
+
+# 2. Nginx 상태 확인
+docker ps | grep kamco-train-nginx
+
+# 3. API 서비스 시작
+docker-compose -f docker-compose-prod.yml up -d
+
+# 4. API 헬스체크 대기 (최대 40초)
+sleep 40
+curl -f http://localhost:8080/monitor/health
+
+# 5. Web 서비스 시작 (kamco-train-web 프로젝트에서)
+# cd ../kamco-train-web
+# docker-compose -f docker-compose-prod.yml up -d
+
+# 6. 전체 상태 확인
+docker ps -a | grep kamco
+```
+
+### 배포 검증
+
+```bash
+# 서비스별 헬스체크
+curl -f http://localhost:8080/monitor/health          # API (internal)
+curl -kf https://api.train-kamco.com/monitor/health   # API (external)
+curl -kf https://train-kamco.com                       # Web (external)
+
+# Nginx 설정 검증
+docker exec kamco-train-nginx nginx -t
+
+# 로그 확인
+docker-compose -f docker-compose-nginx.yml logs --tail=50
+docker-compose -f docker-compose-prod.yml logs --tail=50
+```
+
+---
+
+## 개별 서비스 관리
+
+### Nginx 관리
+
+```bash
+# 설정 변경 후 리로드 (다운타임 없음)
+docker exec kamco-train-nginx nginx -s reload
+
+# 재시작
+docker-compose -f docker-compose-nginx.yml restart
+
+# 로그 확인
+docker-compose -f docker-compose-nginx.yml logs -f
+
+# 컨테이너 내부 접근
+docker exec -it kamco-train-nginx sh
+```
+
+### API 서비스 관리
+
+```bash
+# 재배포 (새 이미지 빌드)
+docker-compose -f docker-compose-prod.yml up -d --build
+
+# 재시작 (이미지 변경 없이)
+docker-compose -f docker-compose-prod.yml restart
+
+# 중지
+docker-compose -f docker-compose-prod.yml down
+
+# 로그 확인
+docker-compose -f docker-compose-prod.yml logs -f kamco-train-api
+
+# 컨테이너 내부 접근
+docker exec -it kamco-train-api bash
+```
+
+### Web 서비스 관리
+
+```bash
+# kamco-train-web 프로젝트에서 실행
+cd ../kamco-train-web
+
+# 재배포
+docker-compose -f docker-compose-prod.yml up -d --build
+
+# 재시작
+docker-compose -f docker-compose-prod.yml restart
+
+# 로그 확인
+docker-compose -f docker-compose-prod.yml logs -f
+```
+
+---
+
+## 롤백 절차
+
+### 이미지 기반 롤백
+
+```bash
+# 1. 사용 가능한 이미지 확인
+docker images | grep kamco-train-api
+
+# 2. 이전 이미지 태그로 롤백
+export IMAGE_TAG=previous-commit-hash
+docker-compose -f docker-compose-prod.yml up -d
+
+# 3. 헬스체크 확인
+curl -f http://localhost:8080/monitor/health
+```
+
+### Git 기반 롤백
+
+```bash
+# 1. 이전 커밋으로 체크아웃
+git log --oneline -10
+git checkout <previous-commit-hash>
+
+# 2. 재빌드 및 배포
+docker-compose -f docker-compose-prod.yml up -d --build
+
+# 3. 검증 후 브랜치 업데이트 (필요시)
+# git checkout develop
+# git reset --hard <previous-commit-hash>
+# git push -f origin develop
+```
+
+---
+
+## 모니터링 및 헬스체크
+
+### 헬스체크 엔드포인트
+
+```bash
+# API 헬스체크
+curl http://localhost:8080/monitor/health
+curl http://localhost:8080/monitor/health/readiness
+curl http://localhost:8080/monitor/health/liveness
+
+# Nginx를 통한 헬스체크
+curl -k https://api.train-kamco.com/monitor/health
+```
+
+### 컨테이너 상태 모니터링
+
+```bash
+# 모든 컨테이너 상태
+docker ps -a | grep kamco
+
+# 리소스 사용량 실시간 모니터링
+docker stats kamco-train-nginx kamco-train-api
+
+# 헬스체크 상태
+docker inspect kamco-train-api | grep -A 10 Health
+```
+
+### 로그 모니터링
+
+```bash
+# 실시간 로그 (모든 서비스)
+docker-compose -f docker-compose-nginx.yml logs -f &
+docker-compose -f docker-compose-prod.yml logs -f &
+
+# 에러 로그만 필터링
+docker-compose -f docker-compose-prod.yml logs | grep -i error
+
+# 최근 100줄
+docker-compose -f docker-compose-prod.yml logs --tail=100
+```
+
+---
+
+## 트러블슈팅
+
+### 1. Nginx 502 Bad Gateway
+
+**원인**: API 서비스가 준비되지 않음
+
+```bash
+# API 컨테이너 상태 확인
+docker ps | grep kamco-train-api
+
+# API 로그 확인
+docker logs kamco-train-api --tail=100
+
+# 네트워크 연결 확인
+docker network inspect kamco-cds | grep kamco-train-api
+
+# 해결: API 재시작
+docker-compose -f docker-compose-prod.yml restart
+```
+
+### 2. SSL 인증서 오류
+
+**원인**: 인증서 파일 누락 또는 권한 문제
+
+```bash
+# 인증서 파일 확인
+ls -la nginx/ssl/
+
+# Nginx 설정 검증
+docker exec kamco-train-nginx nginx -t
+
+# 해결: 인증서 재배치 및 권한 설정
+chmod 600 nginx/ssl/train-kamco.com.key
+chmod 644 nginx/ssl/train-kamco.com.crt
+docker-compose -f docker-compose-nginx.yml restart
+```
+
+### 3. 컨테이너 시작 실패
+
+**원인**: 포트 충돌, 볼륨 권한, 메모리 부족
+
+```bash
+# 포트 사용 확인
+netstat -tulpn | grep -E '80|443|8080'
+
+# 볼륨 권한 확인
+ls -la ./app/
+
+# 메모리 사용량 확인
+free -h
+docker system df
+
+# 해결: 충돌 프로세스 종료 또는 포트 변경
+# 메모리 정리
+docker system prune -a
+```
+
+### 4. 네트워크 연결 문제
+
+**원인**: kamco-cds 네트워크 미생성 또는 컨테이너 미연결
+
+```bash
+# 네트워크 확인
+docker network ls | grep kamco-cds
+
+# 네트워크 상세 정보
+docker network inspect kamco-cds
+
+# 해결: 네트워크 생성
+docker network create kamco-cds
+
+# 컨테이너를 네트워크에 연결
+docker network connect kamco-cds kamco-train-api
+docker network connect kamco-cds kamco-train-nginx
+```
+
+### 5. 데이터베이스 연결 실패
+
+**원인**: application-prod.yml의 DB 설정 오류
+
+```bash
+# API 로그에서 DB 연결 에러 확인
+docker logs kamco-train-api | grep -i "connection"
+
+# DB 호스트 연결 테스트
+docker exec kamco-train-api ping <db-host>
+
+# 해결: application-prod.yml 수정 후 재배포
+vim src/main/resources/application-prod.yml
+docker-compose -f docker-compose-prod.yml up -d --build
+```
+
+---
+
+## Jenkins CI/CD 연동
+
+현재 프로젝트는 Jenkins 파이프라인으로 자동 배포됩니다.
+
+### Jenkinsfile-dev 주요 단계
+
+1. **Checkout**: develop 브랜치 체크아웃
+2. **Build**: `./gradlew clean build -x test`
+3. **Extract Commit**: IMAGE_TAG로 사용
+4. **Transfer**: 배포 서버로 파일 전송
+5. **Deploy**: Docker Compose 빌드 및 배포
+6. **Health Check**: 30초 대기 후 헬스체크
+7. **Cleanup**: 오래된 이미지 정리 (최신 5개 유지)
+
+### 배포 서버 정보
+
+- **서버**: 192.168.2.109
+- **사용자**: space
+- **배포 경로**: `/home/space/kamco-training-api`
+- **헬스체크**: `http://localhost:7200/monitor/health`
+
+---
+
+## 백업 및 복구
+
+### 데이터 백업
+
+```bash
+# 볼륨 데이터 백업
+tar -czf backup-$(date +%Y%m%d).tar.gz ./app/model_output ./app/train_dataset
+
+# 설정 파일 백업
+tar -czf config-backup-$(date +%Y%m%d).tar.gz \
+  nginx/nginx.conf \
+  nginx/ssl/ \
+  src/main/resources/application-prod.yml
+```
+
+### 이미지 백업
+
+```bash
+# 현재 이미지 저장
+docker save kamco-train-api:latest | gzip > kamco-train-api-latest.tar.gz
+
+# 이미지 복구
+gunzip -c kamco-train-api-latest.tar.gz | docker load
+```
+
+---
+
+## 보안 체크리스트
+
+- [ ] SSL 인증서 유효기간 확인
+- [ ] nginx/ssl/ 디렉토리 권한 600
+- [ ] application-prod.yml에 DB 비밀번호 암호화
+- [ ] JWT secret key 환경변수로 관리
+- [ ] Docker 소켓 권한 최소화
+- [ ] 방화벽 규칙 설정 (80, 443만 외부 노출)
+- [ ] 정기 보안 업데이트 (docker images)
+
+---
+
+## 참고 문서
+
+- [CLAUDE.md](./CLAUDE.md) - 프로젝트 개발 가이드
+- [README.md](./README.md) - 프로젝트 개요
+- [Jenkinsfile-dev](./Jenkinsfile-dev) - CI/CD 파이프라인
+- [nginx/nginx.conf](./nginx/nginx.conf) - Nginx 설정
+
+---
+
+## 연락처
+
+문제 발생 시:
+1. 로그 수집: `docker-compose logs` 출력
+2. 시스템 정보: `docker ps -a`, `docker network ls`
+3. 이슈 리포트: GitHub Issues 또는 내부 이슈 트래커

Dockerfile

@@ -0,0 +1,20 @@
+# Stage 1: Build stage (gradle build는 Jenkins에서 이미 수행)
+FROM eclipse-temurin:21-jre-jammy
+
+# docker CLI 설치 (컨테이너에서 호스트 Docker 제어용) 260212 추가
+RUN apt-get update && \
+    apt-get install -y --no-install-recommends docker.io ca-certificates && \
+    rm -rf /var/lib/apt/lists/*
+
+# 작업 디렉토리 설정
+WORKDIR /app
+
+# JAR 파일 복사 (Jenkins에서 빌드된 ROOT.jar)
+COPY build/libs/ROOT.jar app.jar
+
+# 포트 노출
+EXPOSE 8080
+
+# 애플리케이션 실행
+# dev 프로파일로 실행
+ENTRYPOINT ["java", "-jar", "-Dspring.profiles.active=prod", "app.jar"]

docker-compose-dev.yml

@@ -5,6 +5,13 @@ services:
       dockerfile: Dockerfile-dev
     image: kamco-cd-training-api:${IMAGE_TAG:-latest}
     container_name: kamco-cd-training-api
+    deploy:
+      resources:
+        reservations:
+          devices:
+            - driver: nvidia
+              count: all
+              capabilities: [gpu]
     ports:
       - "7200:8080"
     environment:

docker-compose-nginx.yml

@@ -0,0 +1,28 @@
+services:
+  nginx:
+    image: nginx:alpine
+    container_name: kamco-train-nginx
+    ports:
+      - "80:80"
+      - "443:443"
+    volumes:
+      - ./nginx/nginx.conf:/etc/nginx/nginx.conf:ro
+      - ./nginx/ssl:/etc/nginx/ssl:ro
+      - nginx-logs:/var/log/nginx
+    networks:
+      - kamco-cds
+    restart: unless-stopped
+    healthcheck:
+      test: ["CMD", "wget", "--quiet", "--tries=1", "--spider", "--no-check-certificate", "https://localhost/monitor/health"]
+      interval: 30s
+      timeout: 10s
+      retries: 3
+      start_period: 10s
+
+networks:
+  kamco-cds:
+    external: true
+
+volumes:
+  nginx-logs:
+    driver: local

docker-compose-prod.yml

@@ -0,0 +1,36 @@
+services:
+  kamco-train-api:
+    build:
+      context: .
+      dockerfile: Dockerfile
+    image: kamco-train-api:${IMAGE_TAG:-latest}
+    container_name: kamco-train-api
+    deploy:
+      resources:
+        reservations:
+          devices:
+            - driver: nvidia
+              count: all
+              capabilities: [gpu]
+    expose:
+      - "8080"
+    environment:
+      - SPRING_PROFILES_ACTIVE=prod
+      - TZ=Asia/Seoul
+    volumes:
+      - ./app/model_output:/app/model-outputs
+      - ./app/train_dataset:/app/train-dataset
+      - /var/run/docker.sock:/var/run/docker.sock
+    networks:
+      - kamco-cds
+    restart: unless-stopped
+    healthcheck:
+      test: ["CMD", "curl", "-f", "http://localhost:8080/monitor/health"]
+      interval: 10s
+      timeout: 5s
+      retries: 5
+      start_period: 40s
+
+networks:
+  kamco-cds:
+    external: true

nginx/SSL_SETUP.md

@@ -0,0 +1,414 @@
+# SSL 사설 인증서 설정 가이드 (RedHat 9.6)
+
+## 개요
+
+이 문서는 RedHat 9.6 환경에서 `https://api.train-kamco.com` 및 `https://train-kamco.com` 도메인을 위한 100년 유효한 사설 SSL 인증서 설정 방법을 설명합니다.
+
+## 디렉토리 구조
+
+```
+nginx/
+├── nginx.conf              # Nginx 설정 파일
+├── ssl/
+│   ├── openssl.cnf         # OpenSSL 설정 파일 (SAN 포함)
+│   ├── train-kamco.com.crt # 사설 SSL 인증서 (멀티 도메인)
+│   └── train-kamco.com.key # 개인 키 (비공개)
+└── SSL_SETUP.md            # 이 문서
+```
+
+## 인증서 정보
+
+- **도메인**: api.train-kamco.com, train-kamco.com (멀티 도메인)
+- **유효 기간**: 100년 (36500일)
+- **알고리즘**: RSA 4096-bit
+- **CN (Common Name)**: api.train-kamco.com
+- **SAN (Subject Alternative Names)**: api.train-kamco.com, train-kamco.com
+
+## 사설 SSL 인증서 생성 (이미 생성됨)
+
+인증서가 이미 생성되어 있습니다. 재생성이 필요한 경우 아래 단계를 따르세요.
+
+### 1. OpenSSL 설정 파일 생성
+
+```bash
+cd /path/to/kamco-train-api
+
+cat > nginx/ssl/openssl.cnf << 'EOF'
+[req]
+default_bits = 4096
+prompt = no
+default_md = sha256
+distinguished_name = dn
+req_extensions = v3_req
+
+[dn]
+C=KR
+ST=Seoul
+L=Seoul
+O=KAMCO
+OU=Training
+CN=api.train-kamco.com
+
+[v3_req]
+subjectAltName = @alt_names
+
+[alt_names]
+DNS.1 = api.train-kamco.com
+DNS.2 = train-kamco.com
+EOF
+```
+
+### 2. SSL 인증서 및 개인 키 생성
+
+```bash
+# nginx/ssl 디렉토리 생성 (없는 경우)
+mkdir -p nginx/ssl
+chmod 700 nginx/ssl
+
+# 인증서 및 개인 키 생성 (100년 유효)
+openssl req -new -x509 -newkey rsa:4096 -sha256 -nodes \
+  -keyout nginx/ssl/train-kamco.com.key \
+  -out nginx/ssl/train-kamco.com.crt \
+  -days 36500 \
+  -config nginx/ssl/openssl.cnf \
+  -extensions v3_req
+
+# 파일 권한 설정
+chmod 600 nginx/ssl/train-kamco.com.key
+chmod 644 nginx/ssl/train-kamco.com.crt
+```
+
+### 3. 인증서 검증
+
+```bash
+# 인증서 정보 확인
+openssl x509 -in nginx/ssl/train-kamco.com.crt -text -noout
+
+# 유효 기간 확인
+openssl x509 -in nginx/ssl/train-kamco.com.crt -text -noout | grep -A2 "Validity"
+
+# SAN (멀티 도메인) 확인
+openssl x509 -in nginx/ssl/train-kamco.com.crt -text -noout | grep -A1 "Subject Alternative Name"
+
+# CN 확인
+openssl x509 -in nginx/ssl/train-kamco.com.crt -noout -subject
+
+# 개인 키 확인
+openssl rsa -in nginx/ssl/train-kamco.com.key -check
+```
+
+**예상 결과**:
+```
+X509v3 Subject Alternative Name:
+    DNS:api.train-kamco.com, DNS:train-kamco.com
+
+Validity
+    Not Before: Mar  2 23:39:XX 2026 GMT
+    Not After : Feb  6 23:39:XX 2126 GMT
+```
+
+## /etc/hosts 설정 (RedHat 9.6)
+
+### 1. hosts 파일에 도메인 추가
+
+```bash
+# root 권한으로 실행
+echo "127.0.0.1   api.train-kamco.com train-kamco.com" | sudo tee -a /etc/hosts
+
+# 확인
+cat /etc/hosts | grep train-kamco
+```
+
+**예상 결과**:
+```
+127.0.0.1   api.train-kamco.com train-kamco.com
+```
+
+### 2. 도메인 확인
+
+```bash
+# ping 테스트
+ping -c 2 api.train-kamco.com
+ping -c 2 train-kamco.com
+```
+
+## Docker Compose 배포
+
+### 1. 기존 컨테이너 중지 (실행 중인 경우)
+
+```bash
+cd /path/to/kamco-train-api
+docker-compose -f docker-compose-prod.yml down
+```
+
+### 2. Production 환경 실행
+
+```bash
+# IMAGE_TAG 환경 변수 설정 (선택사항)
+export IMAGE_TAG=latest
+
+# Docker Compose 실행
+docker-compose -f docker-compose-prod.yml up -d
+
+# 컨테이너 상태 확인
+docker-compose -f docker-compose-prod.yml ps
+```
+
+### 3. 로그 확인
+
+```bash
+# Nginx 로그
+docker logs kamco-cd-nginx
+
+# API 로그
+docker logs kamco-cd-training-api
+
+# 실시간 로그 확인
+docker-compose -f docker-compose-prod.yml logs -f
+```
+
+## HTTPS 접속 테스트
+
+### 1. HTTP → HTTPS 리다이렉트 테스트
+
+```bash
+# api.train-kamco.com
+curl -I http://api.train-kamco.com
+
+# train-kamco.com
+curl -I http://train-kamco.com
+
+# 예상 결과: 301 Moved Permanently
+# Location: https://api.train-kamco.com/ 또는 https://train-kamco.com/
+```
+
+### 2. HTTPS 헬스체크 (-k: 사설 인증서 경고 무시)
+
+```bash
+# api.train-kamco.com
+curl -k https://api.train-kamco.com/monitor/health
+
+# train-kamco.com
+curl -k https://train-kamco.com/monitor/health
+
+# 예상 결과: {"status":"UP","components":{...}}
+```
+
+### 3. SSL 인증서 확인
+
+```bash
+# api.train-kamco.com
+openssl s_client -connect api.train-kamco.com:443 -showcerts
+
+# train-kamco.com
+openssl s_client -connect train-kamco.com:443 -showcerts
+
+# CN 및 SAN 확인
+```
+
+### 4. 브라우저 테스트
+
+브라우저에서 다음 URL에 접속:
+
+- `https://api.train-kamco.com/monitor/health`
+- `https://train-kamco.com/monitor/health`
+
+**주의**: 사설 인증서이므로 "안전하지 않음" 경고가 표시됩니다.
+- **Chrome/Edge**: "고급" → "계속 진행" 클릭
+- **Firefox**: "위험 감수 및 계속" 클릭
+
+## 브라우저에서 사설 인증서 신뢰 설정 (선택사항)
+
+사설 인증서를 브라우저에 등록하면 경고 없이 접속 가능합니다.
+
+### Chrome/Edge (RedHat Desktop)
+
+1. `chrome://settings/certificates` 접속
+2. **Authorities** 탭 선택
+3. **Import** 클릭
+4. `nginx/ssl/train-kamco.com.crt` 선택
+5. **Trust this certificate for identifying websites** 체크
+6. **OK** 클릭
+
+### Firefox
+
+1. `about:preferences#privacy` 접속
+2. **Certificates** → **View Certificates** 클릭
+3. **Authorities** 탭 선택
+4. **Import** 클릭
+5. `nginx/ssl/train-kamco.com.crt` 선택
+6. **Trust this CA to identify websites** 체크
+7. **OK** 클릭
+
+## 방화벽 설정 (RedHat 9.6)
+
+### 1. 방화벽 상태 확인
+
+```bash
+sudo firewall-cmd --state
+```
+
+### 2. HTTP (80) 및 HTTPS (443) 포트 개방
+
+```bash
+# HTTP 포트 개방
+sudo firewall-cmd --permanent --add-port=80/tcp
+
+# HTTPS 포트 개방
+sudo firewall-cmd --permanent --add-port=443/tcp
+
+# 방화벽 재로드
+sudo firewall-cmd --reload
+
+# 확인
+sudo firewall-cmd --list-ports
+```
+
+**예상 결과**:
+```
+80/tcp 443/tcp
+```
+
+## 보안 체크리스트
+
+- [x] `train-kamco.com.key` 파일 권한이 600으로 설정됨
+- [x] ssl 디렉토리가 버전 관리에서 제외됨 (.gitignore 확인)
+- [x] 두 도메인(api.train-kamco.com, train-kamco.com) 모두 SAN에 포함됨
+- [ ] 방화벽에서 80, 443 포트 개방 확인
+- [x] HSTS 헤더 활성화 확인
+- [x] TLS 1.2 이상만 허용 확인
+- [ ] /etc/hosts에 도메인 매핑 확인
+
+## 트러블슈팅
+
+### 인증서 관련 오류
+
+**"certificate verify failed"**
+```bash
+# 해결: -k 플래그 사용 (사설 인증서 경고 무시)
+curl -k https://api.train-kamco.com/monitor/health
+```
+
+**"NET::ERR_CERT_AUTHORITY_INVALID" (브라우저)**
+- 정상 동작: 사설 인증서이므로 브라우저 경고는 예상된 동작입니다
+- 해결: 브라우저에 인증서 등록 (위 "브라우저에서 사설 인증서 신뢰 설정" 참조)
+
+### 연결 오류
+
+**"Connection refused"**
+```bash
+# 컨테이너 상태 확인
+docker ps | grep kamco-cd
+
+# 포트 바인딩 확인
+docker port kamco-cd-nginx
+
+# 예상 결과:
+# 80/tcp -> 0.0.0.0:80
+# 443/tcp -> 0.0.0.0:443
+```
+
+**"502 Bad Gateway"**
+```bash
+# API 컨테이너 상태 확인
+docker logs kamco-cd-training-api
+
+# nginx → API 연결 확인
+docker exec kamco-cd-nginx wget -qO- http://kamco-changedetection-api:8080/monitor/health
+```
+
+**"Name or service not known" (도메인 해석 실패)**
+```bash
+# /etc/hosts 확인
+cat /etc/hosts | grep train-kamco
+
+# 없으면 추가
+echo "127.0.0.1   api.train-kamco.com train-kamco.com" | sudo tee -a /etc/hosts
+```
+
+### 방화벽 관련 오류
+
+**외부에서 접속 안 됨**
+```bash
+# 방화벽 확인
+sudo firewall-cmd --list-ports
+
+# 포트 개방
+sudo firewall-cmd --permanent --add-port=80/tcp
+sudo firewall-cmd --permanent --add-port=443/tcp
+sudo firewall-cmd --reload
+```
+
+## 인증서 만료 및 갱신
+
+### 만료 확인
+
+```bash
+# 인증서 만료일 확인
+openssl x509 -in nginx/ssl/train-kamco.com.crt -noout -enddate
+
+# 예상 결과: notAfter=Feb  6 23:39:XX 2126 GMT (100년 후)
+```
+
+### 갱신 방법 (필요시)
+
+100년 유효한 인증서이므로 갱신이 필요하지 않지만, 재생성이 필요한 경우:
+
+```bash
+# 기존 인증서 백업
+cp nginx/ssl/train-kamco.com.crt nginx/ssl/train-kamco.com.crt.bak
+cp nginx/ssl/train-kamco.com.key nginx/ssl/train-kamco.com.key.bak
+
+# 위의 "사설 SSL 인증서 생성" 단계 재실행
+
+# nginx 재시작
+docker-compose -f docker-compose-prod.yml restart nginx
+```
+
+## 주의사항
+
+1. **사설 인증서 경고**: 브라우저에서 "안전하지 않음" 경고가 표시됩니다. 프로덕션 환경에서는 **공인 인증서(Let's Encrypt, GlobalSign 등) 사용을 권장**합니다.
+
+2. **포트 80/443**: Docker가 자동으로 처리하지만, 이미 사용 중인 프로세스가 있으면 충돌할 수 있습니다.
+   ```bash
+   # 포트 사용 확인
+   sudo lsof -i :80
+   sudo lsof -i :443
+   ```
+
+3. **대용량 파일 업로드**: `client_max_body_size`를 10GB로 설정했으므로, 서버 메모리 및 디스크 용량을 충분히 확보하세요.
+
+4. **인증서 백업**: `train-kamco.com.key` 파일은 매우 중요합니다. 안전한 곳에 백업하세요.
+
+5. **SELinux**: RedHat 9.6에서 SELinux가 활성화된 경우, Docker 볼륨 마운트 권한 문제가 발생할 수 있습니다.
+   ```bash
+   # SELinux 상태 확인
+   getenforce
+
+   # 필요시 permissive 모드로 변경
+   sudo setenforce 0
+   ```
+
+
+### 2단계: 시스템 신뢰 폴더로 복사
+터미널을 열고 관리자 권한(sudo)을 사용해 인증서를 시스템 폴더로 복사합니다.
+
+```
+sudo cp mycert.crt /etc/pki/ca-trust/source/anchors/
+```
+
+### 3단계: 시스템 신뢰 목록 업데이트
+아래 명령어를 입력해 추가한 인증서를 시스템에 갱신시킵니다.
+
+```
+sudo update-ca-trust
+```
+
+
+
+## 참고 자료
+
+- [OpenSSL Documentation](https://www.openssl.org/docs/)
+- [Nginx SSL Configuration](https://nginx.org/en/docs/http/configuring_https_servers.html)
+- [Docker Compose Documentation](https://docs.docker.com/compose/)
+- [Let's Encrypt (공인 인증서)](https://letsencrypt.org/)

nginx/nginx.conf

@@ -0,0 +1,179 @@
+events {
+    worker_connections 1024;
+}
+
+http {
+    include       /etc/nginx/mime.types;
+    default_type  application/octet-stream;
+
+    # 로그 설정
+    log_format  main  '$remote_addr - $remote_user [$time_local] "$request" '
+                      '$status $body_bytes_sent "$http_referer" '
+                      '"$http_user_agent" "$http_x_forwarded_for"';
+
+    access_log  /var/log/nginx/access.log  main;
+    error_log   /var/log/nginx/error.log warn;
+
+    sendfile        on;
+    keepalive_timeout  65;
+
+    # 업로드 파일 크기 제한 (10GB)
+    client_max_body_size 10G;
+
+    # Upstream 설정
+    upstream api_backend {
+        server kamco-train-api:8080;
+    }
+
+    upstream web_backend {
+        server kamco-train-web:3002;
+    }
+
+    # HTTP → HTTPS 리다이렉트 서버
+    server {
+        listen 80;
+        server_name api.train-kamco.com train-kamco.com;
+
+        # 모든 HTTP 요청을 HTTPS로 리다이렉트
+        return 301 https://$server_name$request_uri;
+    }
+
+    # HTTPS 서버 설정
+    server {
+        listen 443 ssl http2;
+        server_name api.train-kamco.com;
+
+        # SSL 인증서 설정 (사설 인증서 - 멀티 도메인)
+        ssl_certificate     /etc/nginx/ssl/train-kamco.com.crt;
+        ssl_certificate_key /etc/nginx/ssl/train-kamco.com.key;
+
+        # SSL 프로토콜 및 암호화 설정
+        ssl_protocols TLSv1.2 TLSv1.3;
+        ssl_ciphers 'ECDHE-ECDSA-AES128-GCM-SHA256:ECDHE-RSA-AES128-GCM-SHA256:ECDHE-ECDSA-AES256-GCM-SHA384:ECDHE-RSA-AES256-GCM-SHA384:ECDHE-ECDSA-CHACHA20-POLY1305:ECDHE-RSA-CHACHA20-POLY1305:DHE-RSA-AES128-GCM-SHA256:DHE-RSA-AES256-GCM-SHA384';
+        ssl_prefer_server_ciphers off;
+
+        # SSL 세션 캐시
+        ssl_session_cache shared:SSL:10m;
+        ssl_session_timeout 10m;
+
+        # HSTS (HTTP Strict Transport Security)
+        add_header Strict-Transport-Security "max-age=31536000; includeSubDomains" always;
+
+        # 보안 헤더
+        add_header X-Frame-Options "SAMEORIGIN" always;
+        add_header X-Content-Type-Options "nosniff" always;
+        add_header X-XSS-Protection "1; mode=block" always;
+
+        # 프록시 설정
+        location / {
+            proxy_pass http://api_backend;
+            proxy_http_version 1.1;
+
+            # 프록시 헤더 설정
+            proxy_set_header Host $host;
+            proxy_set_header X-Real-IP $remote_addr;
+            proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
+            proxy_set_header X-Forwarded-Proto $scheme;
+            proxy_set_header X-Forwarded-Host $server_name;
+
+            # 인증 헤더 및 쿠키 전달 (JWT 토큰 전달 보장)
+            proxy_pass_request_headers on;
+            proxy_set_header Cookie $http_cookie;
+            proxy_set_header Authorization $http_authorization;
+
+            # 타임아웃 설정 (대용량 파일 업로드 지원)
+            proxy_connect_timeout 300s;
+            proxy_send_timeout 300s;
+            proxy_read_timeout 300s;
+
+            # 버퍼 설정
+            proxy_buffering on;
+            proxy_buffer_size 4k;
+            proxy_buffers 8 4k;
+            proxy_busy_buffers_size 8k;
+        }
+
+        # 헬스체크 엔드포인트
+        location /monitor/health {
+            proxy_pass http://api_backend/monitor/health;
+            access_log off;
+        }
+    }
+
+    # HTTPS 서버 설정 - Next.js Web Application
+    server {
+        listen 443 ssl http2;
+        server_name train-kamco.com;
+
+        # SSL 인증서 설정 (사설 인증서 - 멀티 도메인)
+        ssl_certificate     /etc/nginx/ssl/train-kamco.com.crt;
+        ssl_certificate_key /etc/nginx/ssl/train-kamco.com.key;
+
+        # SSL 프로토콜 및 암호화 설정
+        ssl_protocols TLSv1.2 TLSv1.3;
+        ssl_ciphers 'ECDHE-ECDSA-AES128-GCM-SHA256:ECDHE-RSA-AES128-GCM-SHA256:ECDHE-ECDSA-AES256-GCM-SHA384:ECDHE-RSA-AES256-GCM-SHA384:ECDHE-ECDSA-CHACHA20-POLY1305:ECDHE-RSA-CHACHA20-POLY1305:DHE-RSA-AES128-GCM-SHA256:DHE-RSA-AES256-GCM-SHA384';
+        ssl_prefer_server_ciphers off;
+
+        # SSL 세션 캐시
+        ssl_session_cache shared:SSL:10m;
+        ssl_session_timeout 10m;
+
+        # HSTS (HTTP Strict Transport Security)
+        add_header Strict-Transport-Security "max-age=31536000; includeSubDomains" always;
+
+        # 보안 헤더
+        add_header X-Frame-Options "SAMEORIGIN" always;
+        add_header X-Content-Type-Options "nosniff" always;
+        add_header X-XSS-Protection "1; mode=block" always;
+
+        # API 프록시 설정 (Web에서 API 호출 시)
+        location /api/ {
+            proxy_pass http://api_backend/api/;
+            proxy_http_version 1.1;
+
+            # 프록시 헤더 설정
+            proxy_set_header Host $host;
+            proxy_set_header X-Real-IP $remote_addr;
+            proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
+            proxy_set_header X-Forwarded-Proto $scheme;
+            proxy_set_header X-Forwarded-Host $server_name;
+
+            # 인증 헤더 및 쿠키 전달
+            proxy_pass_request_headers on;
+            proxy_set_header Cookie $http_cookie;
+
+            # 타임아웃 설정
+            proxy_connect_timeout 300s;
+            proxy_send_timeout 300s;
+            proxy_read_timeout 300s;
+        }
+
+        # 프록시 설정
+        location / {
+            proxy_pass http://web_backend;
+            proxy_http_version 1.1;
+
+            # 프록시 헤더 설정
+            proxy_set_header Host $host;
+            proxy_set_header X-Real-IP $remote_addr;
+            proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
+            proxy_set_header X-Forwarded-Proto $scheme;
+            proxy_set_header X-Forwarded-Host $server_name;
+
+            # Next.js WebSocket 지원을 위한 Upgrade 헤더
+            proxy_set_header Upgrade $http_upgrade;
+            proxy_set_header Connection "upgrade";
+
+            # 타임아웃 설정
+            proxy_connect_timeout 600s;
+            proxy_send_timeout 600s;
+            proxy_read_timeout 600s;
+
+            # 버퍼 설정
+            proxy_buffering on;
+            proxy_buffer_size 4k;
+            proxy_buffers 8 4k;
+            proxy_busy_buffers_size 8k;
+        }
+    }
+}

src/main/java/com/kamco/cd/training/KamcoTrainingApplication.java

@@ -2,10 +2,8 @@ package com.kamco.cd.training;
 
 import org.springframework.boot.SpringApplication;
 import org.springframework.boot.autoconfigure.SpringBootApplication;
-import org.springframework.scheduling.annotation.EnableAsync;
 import org.springframework.scheduling.annotation.EnableScheduling;
 
-@EnableAsync
 @SpringBootApplication
 @EnableScheduling
 public class KamcoTrainingApplication {

src/main/java/com/kamco/cd/training/auth/JwtAuthenticationFilter.java

@@ -23,7 +23,8 @@ public class JwtAuthenticationFilter extends OncePerRequestFilter {
   private final UserDetailsService userDetailsService;
   private static final AntPathMatcher PATH_MATCHER = new AntPathMatcher();
   private static final String[] EXCLUDE_PATHS = {
-    "/api/auth/signin", "/api/auth/refresh", "/api/auth/logout", "/api/members/*/password"
+    //    "/api/auth/signin", "/api/auth/refresh", "/api/auth/logout", "/api/members/*/password"
+    "/api/auth/signin", "/api/auth/refresh", "/api/auth/logout"
   };
 
   @Override

src/main/java/com/kamco/cd/training/code/service/CommonCodeService.java

@@ -125,6 +125,7 @@ public class CommonCodeService {
     return commonCodeCoreService.getCode(parentCodeCd, childCodeCd);
   }
 
+  // TODO 미사용시작
   /**
    * 공통코드 이름 조회
    *
@@ -136,6 +137,8 @@ public class CommonCodeService {
     return commonCodeCoreService.getCode(parentCodeCd, childCodeCd);
   }
 
+  // TODO 미사용 끝
+
   public List<CodeDto> getTypeCode(String type) {
     return Enums.getCodes(type);
   }

src/main/java/com/kamco/cd/training/common/download/DownloadExecutor.java

@@ -1,3 +1,4 @@
+// TODO 미사용시작
 package com.kamco.cd.training.common.download;
 
 import com.kamco.cd.training.common.download.dto.DownloadSpec;
@@ -46,3 +47,4 @@ public class DownloadExecutor {
         .body(body);
   }
 }
+// TODO 미사용 끝

src/main/java/com/kamco/cd/training/common/download/DownloadPaths.java

@@ -1,3 +1,4 @@
+// TODO 미사용시작
 package com.kamco.cd.training.common.download;
 
 import org.springframework.util.AntPathMatcher;
@@ -17,3 +18,4 @@ public final class DownloadPaths {
     return false;
   }
 }
+// TODO 미사용 끝

src/main/java/com/kamco/cd/training/common/dto/HyperParam.java

@@ -12,13 +12,14 @@ import lombok.Setter;
 @AllArgsConstructor
 @NoArgsConstructor
 public class HyperParam {
+
+  @Schema(description = "모델", example = "G1")
+  private ModelType model; // G1, G2, G3
+
   // -------------------------
   // Important
   // -------------------------
 
-  @Schema(description = "모델", example = "large")
-  private ModelType model; // backbone
-
   @Schema(description = "백본 네트워크", example = "large")
   private String backbone; // backbone
 

src/main/java/com/kamco/cd/training/common/dto/MonitorDto.java

@@ -0,0 +1,8 @@
+package com.kamco.cd.training.common.dto;
+
+public class MonitorDto {
+
+  public int cpu; // CPU 사용률 (%)
+  public long[] memory; // "사용/전체"
+  public int gpu; // 🔥 전체 GPU 평균 (%)
+}

src/main/java/com/kamco/cd/training/common/enums/DeployTargetType.java

@@ -1,3 +1,4 @@
+// TODO 미사용시작
 package com.kamco.cd.training.common.enums;
 
 import com.kamco.cd.training.common.utils.enums.CodeExpose;
@@ -17,3 +18,4 @@ public enum DeployTargetType implements EnumType {
   private final String id;
   private final String text;
 }
+// TODO 미사용 끝

src/main/java/com/kamco/cd/training/common/enums/JobStatusType.java

@@ -0,0 +1,27 @@
+package com.kamco.cd.training.common.enums;
+
+import com.kamco.cd.training.common.utils.enums.EnumType;
+import lombok.AllArgsConstructor;
+import lombok.Getter;
+
+@Getter
+@AllArgsConstructor
+public enum JobStatusType implements EnumType {
+  QUEUED("대기중"),
+  RUNNING("실행중"),
+  SUCCESS("성공"),
+  FAILED("실패"),
+  CANCELED("취소");
+
+  private final String desc;
+
+  @Override
+  public String getId() {
+    return name();
+  }
+
+  @Override
+  public String getText() {
+    return desc;
+  }
+}

src/main/java/com/kamco/cd/training/common/enums/JobType.java

@@ -0,0 +1,24 @@
+package com.kamco.cd.training.common.enums;
+
+import com.kamco.cd.training.common.utils.enums.EnumType;
+import lombok.AllArgsConstructor;
+import lombok.Getter;
+
+@Getter
+@AllArgsConstructor
+public enum JobType implements EnumType {
+  TRAIN("학습"),
+  TEST("테스트");
+
+  private final String desc;
+
+  @Override
+  public String getId() {
+    return name();
+  }
+
+  @Override
+  public String getText() {
+    return desc;
+  }
+}

src/main/java/com/kamco/cd/training/common/enums/ModelMngStatusType.java

@@ -1,3 +1,4 @@
+// TODO 미사용시작
 package com.kamco.cd.training.common.enums;
 
 import com.kamco.cd.training.common.utils.enums.CodeExpose;
@@ -25,3 +26,4 @@ public enum ModelMngStatusType implements EnumType {
     return desc;
   }
 }
+// TODO 미사용 끝

src/main/java/com/kamco/cd/training/common/enums/ProcessStepType.java

@@ -1,3 +1,4 @@
+// TODO 미사용시작
 package com.kamco.cd.training.common.enums;
 
 import com.kamco.cd.training.common.utils.enums.CodeExpose;
@@ -18,3 +19,4 @@ public enum ProcessStepType implements EnumType {
   private final String id;
   private final String text;
 }
+// TODO 미사용 끝

src/main/java/com/kamco/cd/training/common/service/GpuDmonReader.java

@@ -0,0 +1,142 @@
+package com.kamco.cd.training.common.service;
+
+import jakarta.annotation.PostConstruct;
+import java.io.BufferedReader;
+import java.io.InputStreamReader;
+import java.util.Map;
+import java.util.concurrent.ConcurrentHashMap;
+import lombok.extern.log4j.Log4j2;
+import org.springframework.stereotype.Component;
+
+@Component
+@Log4j2
+public class GpuDmonReader {
+
+  // =========================
+  // GPU 사용률 저장소
+  // key: GPU index (0,1,2...)
+  // value: 현재 GPU 사용률 (%)
+  // ConcurrentHashMap → 멀티스레드 안전
+  // =========================
+  private final Map<Integer, Integer> gpuUtilMap = new ConcurrentHashMap<>();
+
+  // =========================
+  // 외부 조회용
+  // SystemMonitorService에서 호출
+  // =========================
+  public Map<Integer, Integer> getGpuUtilMap() {
+    return gpuUtilMap;
+  }
+
+  // =========================
+  // Bean 초기화 시 실행
+  // - 별도 스레드에서 GPU 모니터링 시작
+  // - 메인 스레드 block 방지
+  // =========================
+  @PostConstruct
+  public void start() {
+
+    // nvidia-smi 없는 환경이면 GPU 모니터링 비활성화
+    if (!isNvidiaAvailable()) {
+      log.warn("nvidia-smi not found. GPU monitoring disabled.");
+      return;
+    }
+
+    // 데몬 스레드로 실행 (서버 종료 시 자동 종료)
+    Thread t = new Thread(this::runLoop, "gpu-dmon-thread");
+    t.setDaemon(true);
+    t.start();
+  }
+
+  // =========================
+  // 무한 루프
+  // - dmon 실행
+  // - 죽으면 자동 재시작
+  // =========================
+  private void runLoop() {
+
+    while (true) {
+      try {
+        runDmon(); // GPU 사용률 수집 시작
+      } catch (Exception e) {
+        // dmon 프로세스 종료되면 여기로 들어옴
+        log.warn("dmon restart: {}", e.getMessage());
+      }
+
+      // 5초 대기 후 재시작
+      sleep(5000);
+    }
+  }
+
+  // =========================
+  // nvidia-smi dmon 실행
+  // - GPU 사용률 스트리밍으로 계속 수신
+  // =========================
+  private void runDmon() throws Exception {
+
+    // -s u → GPU utilization만 출력
+    ProcessBuilder pb = new ProcessBuilder("nvidia-smi", "dmon", "-s", "u");
+
+    // 프로세스 실행 후 stdout 읽기
+    try (BufferedReader br =
+        new BufferedReader(new InputStreamReader(pb.start().getInputStream()))) {
+
+      String line;
+
+      // dmon은 계속 출력됨 (스트리밍)
+      while ((line = br.readLine()) != null) {
+
+        // 헤더 제거 (#로 시작)
+        if (line.startsWith("#")) continue;
+
+        line = line.trim();
+        if (line.isEmpty()) continue;
+
+        // 공백 기준 분리
+        String[] parts = line.split("\\s+");
+
+        // 첫 번째 값이 GPU index인지 확인
+        if (!parts[0].matches("\\d+")) continue;
+
+        int index = Integer.parseInt(parts[0]);
+
+        try {
+          // 두 번째 값이 GPU 사용률 (sm)
+          int util = Integer.parseInt(parts[1]);
+
+          // 최신 값 갱신
+          gpuUtilMap.put(index, util);
+
+        } catch (Exception ignored) {
+          // 파싱 실패 시 무시
+        }
+      }
+    }
+
+    // 여기까지 왔다는 건 dmon 프로세스 종료됨
+    // → runLoop에서 재시작하도록 예외 발생
+    throw new IllegalStateException("dmon stopped");
+  }
+
+  // =========================
+  // nvidia-smi 존재 여부 확인
+  // =========================
+  private boolean isNvidiaAvailable() {
+    try {
+      Process p = new ProcessBuilder("which", "nvidia-smi").start();
+      return p.waitFor() == 0;
+    } catch (Exception e) {
+      return false;
+    }
+  }
+
+  // =========================
+  // sleep 유틸
+  // =========================
+  private void sleep(long ms) {
+    try {
+      Thread.sleep(ms);
+    } catch (InterruptedException ignored) {
+    }
+  }
+}

src/main/java/com/kamco/cd/training/common/service/SystemMonitorService.java

@@ -0,0 +1,224 @@
+package com.kamco.cd.training.common.service;
+
+import com.kamco.cd.training.common.dto.MonitorDto;
+import java.io.BufferedReader;
+import java.io.FileReader;
+import java.util.ArrayDeque;
+import java.util.Deque;
+import java.util.Map;
+import java.util.concurrent.ConcurrentHashMap;
+import lombok.RequiredArgsConstructor;
+import lombok.extern.log4j.Log4j2;
+import org.springframework.scheduling.annotation.Scheduled;
+import org.springframework.stereotype.Service;
+
+@Service
+@RequiredArgsConstructor
+@Log4j2
+public class SystemMonitorService {
+
+  // =========================
+  // CPU 이전값 (delta 계산용)
+  // - /proc/stat은 누적값이기 때문에
+  // - 이전 값과 비교해서 사용률 계산
+  // =========================
+  private long prevIdle = 0;
+  private long prevTotal = 0;
+
+  // =========================
+  // 최근 30초 히스토리
+  // - CPU: 30개 (1초 * 30)
+  // - GPU: GPU별 30개
+  // =========================
+  private final Deque<Double> cpuHistory = new ArrayDeque<>();
+
+  // key: GPU index
+  // value: 최근 30개 사용률
+  private final Map<Integer, Deque<Integer>> gpuHistory = new ConcurrentHashMap<>();
+
+  // =========================
+  // GPU 데이터 제공 (dmon reader)
+  // =========================
+  private final GpuDmonReader gpuReader;
+
+  // =========================
+  // 캐시 (API 응답용)
+  // - 매 요청마다 계산하지 않기 위해 사용
+  // - volatile → 멀티스레드 안전하게 최신값 유지
+  // =========================
+  private volatile MonitorDto cached = new MonitorDto();
+
+  // =========================
+  // 1초마다 수집
+  // =========================
+  @Scheduled(fixedRate = 1000)
+  public void collect() {
+    try {
+
+      // =====================
+      // 1. CPU 수집
+      // =====================
+      double cpu = readCpu();
+
+      cpuHistory.add(cpu);
+
+      // 30개 유지 (rolling window)
+      if (cpuHistory.size() > 30) cpuHistory.poll();
+
+      // =====================
+      // 2. GPU 수집
+      // =====================
+      Map<Integer, Integer> gpuMap = gpuReader.getGpuUtilMap();
+
+      for (Map.Entry<Integer, Integer> entry : gpuMap.entrySet()) {
+
+        int index = entry.getKey();
+        int util = entry.getValue();
+
+        // GPU별 히스토리 생성 및 추가
+        gpuHistory.computeIfAbsent(index, k -> new ArrayDeque<>()).add(util);
+
+        // 30개 유지
+        Deque<Integer> q = gpuHistory.get(index);
+        if (q.size() > 30) q.poll();
+      }
+
+      // =====================
+      // 3. 캐시 업데이트
+      // =====================
+      updateCache();
+
+    } catch (Exception e) {
+      log.error("collect error", e);
+    }
+  }
+
+  // =========================
+  // CPU 사용률 계산
+  // - /proc/stat 사용
+  // - 이전값과의 차이로 계산 (delta 방식)
+  // =========================
+  private double readCpu() throws Exception {
+
+    if (!isLinux()) return 0;
+
+    try (BufferedReader br = new BufferedReader(new FileReader("/proc/stat"))) {
+
+      String[] p = br.readLine().split("\\s+");
+
+      long user = Long.parseLong(p[1]);
+      long nice = Long.parseLong(p[2]);
+      long system = Long.parseLong(p[3]);
+      long idle = Long.parseLong(p[4]);
+      long iowait = Long.parseLong(p[5]);
+      long irq = Long.parseLong(p[6]);
+      long softirq = Long.parseLong(p[7]);
+
+      long total = user + nice + system + idle + iowait + irq + softirq;
+      long idleAll = idle + iowait;
+
+      // 최초 실행 시 기준값만 저장
+      if (prevTotal == 0) {
+        prevTotal = total;
+        prevIdle = idleAll;
+        return 0;
+      }
+
+      long totalDiff = total - prevTotal;
+      long idleDiff = idleAll - prevIdle;
+
+      prevTotal = total;
+      prevIdle = idleAll;
+
+      if (totalDiff == 0) return 0;
+
+      // CPU 사용률 (%)
+      return (1.0 - (double) idleDiff / totalDiff) * 100;
+    }
+  }
+
+  // =========================
+  // Linux 환경 체크
+  // =========================
+  private boolean isLinux() {
+    return System.getProperty("os.name").toLowerCase().contains("linux");
+  }
+
+  // =========================
+  // Memory 조회 (/proc/meminfo)
+  // - OS 값 그대로 사용 (kB)
+  // - [사용량, 전체]
+  // =========================
+  private long[] readMemory() throws Exception {
+
+    if (!isLinux()) return new long[] {0, 0};
+
+    try (BufferedReader br = new BufferedReader(new FileReader("/proc/meminfo"))) {
+
+      long total = 0;
+      long available = 0;
+
+      String line;
+      while ((line = br.readLine()) != null) {
+        if (line.startsWith("MemTotal")) {
+          total = Long.parseLong(line.replaceAll("\\D+", ""));
+        } else if (line.startsWith("MemAvailable")) {
+          available = Long.parseLong(line.replaceAll("\\D+", ""));
+        }
+      }
+
+      long used = total - available;
+
+      return new long[] {used, total};
+    }
+  }
+
+  // =========================
+  // 캐시 업데이트
+  // - CPU: 30초 평균
+  // - GPU: 전체 샘플 평균
+  // - Memory: 현재값
+  // =========================
+  private void updateCache() throws Exception {
+
+    MonitorDto dto = new MonitorDto();
+
+    // =====================
+    // CPU 평균 (30초)
+    // =====================
+    dto.cpu = (int) cpuHistory.stream().mapToDouble(Double::doubleValue).average().orElse(0);
+
+    // =====================
+    // Memory (kB 그대로)
+    // =====================
+    dto.memory = readMemory();
+
+    // =====================
+    // GPU 평균 (🔥 전체 샘플 기준)
+    // =====================
+    int sum = 0;
+    int count = 0;
+
+    for (Deque<Integer> q : gpuHistory.values()) {
+      for (int v : q) {
+        sum += v;
+        count++;
+      }
+    }
+
+    dto.gpu = (count == 0) ? 0 : sum / count;
+
+    // =====================
+    // 캐시 교체 (atomic)
+    // =====================
+    this.cached = dto;
+  }
+
+  // =========================
+  // 외부 조회
+  // - Controller에서 호출
+  // =========================
+  public MonitorDto get() {
+    return cached;
+  }
+}

src/main/java/com/kamco/cd/training/common/utils/FIleChecker.java

@@ -3,7 +3,6 @@ package com.kamco.cd.training.common.utils;
 import static java.lang.String.CASE_INSENSITIVE_ORDER;
 
 import com.jcraft.jsch.ChannelExec;
-import com.jcraft.jsch.ChannelSftp;
 import com.jcraft.jsch.JSch;
 import com.jcraft.jsch.Session;
 import com.kamco.cd.training.common.exception.CustomApiException;
@@ -720,18 +719,26 @@ public class FIleChecker {
   public static void unzip(String fileName, String destDirectory) throws IOException {
     String zipFilePath = destDirectory + File.separator + fileName;
 
+    log.info("fileName : {}", fileName);
+    log.info("destDirectory : {}", destDirectory);
+    log.info("zipFilePath : {}", zipFilePath);
     // zip 이름으로 폴더 생성 (확장자 제거)
     String folderName =
         fileName.endsWith(".zip") ? fileName.substring(0, fileName.length() - 4) : fileName;
+    log.info("folderName : {}", folderName);
 
     File destDir = new File(destDirectory, folderName);
+    log.info("destDir : {}", destDir);
 
     // 동일 폴더가 이미 있으면 삭제
+    log.info("111 destDir.exists() : {}", destDir.exists());
     if (destDir.exists()) {
       deleteDirectoryRecursively(destDir.toPath());
     }
 
+    log.info("222 destDir.exists() : {}", destDir.exists());
     if (!destDir.exists()) {
+      log.info("mkdirs : {}", destDir.exists());
       destDir.mkdirs();
     }
 
@@ -787,92 +794,6 @@ public class FIleChecker {
     return destFile;
   }
 
-  public static void uploadTo86(Path localFile) {
-
-    String host = "192.168.2.86";
-    int port = 22;
-    String username = "kcomu";
-    String password = "Kamco2025!";
-
-    String remoteDir = "/home/kcomu/data/request";
-
-    Session session = null;
-    ChannelSftp channel = null;
-
-    try {
-      JSch jsch = new JSch();
-
-      session = jsch.getSession(username, host, port);
-      session.setPassword(password);
-
-      Properties config = new Properties();
-      config.put("StrictHostKeyChecking", "no");
-      session.setConfig(config);
-
-      session.connect(10_000);
-
-      channel = (ChannelSftp) session.openChannel("sftp");
-      channel.connect(10_000);
-
-      // 목적지 디렉토리 이동
-      channel.cd(remoteDir);
-
-      // 업로드
-      channel.put(localFile.toString(), localFile.getFileName().toString());
-
-    } catch (Exception e) {
-      throw new RuntimeException("SFTP upload failed", e);
-    } finally {
-      if (channel != null) channel.disconnect();
-      if (session != null) session.disconnect();
-    }
-  }
-
-  public static void unzipOn86Server(String zipPath, String targetDir) {
-
-    String host = "192.168.2.86";
-    String user = "kcomu";
-    String password = "Kamco2025!";
-
-    Session session = null;
-    ChannelExec channel = null;
-
-    try {
-      JSch jsch = new JSch();
-
-      session = jsch.getSession(user, host, 22);
-      session.setPassword(password);
-
-      Properties config = new Properties();
-      config.put("StrictHostKeyChecking", "no");
-      session.setConfig(config);
-
-      session.connect(10_000);
-
-      String command = "unzip -o " + zipPath + " -d " + targetDir;
-
-      channel = (ChannelExec) session.openChannel("exec");
-      channel.setCommand(command);
-      channel.setErrStream(System.err);
-
-      InputStream in = channel.getInputStream();
-      channel.connect();
-
-      // 출력 읽기(선택)
-      try (BufferedReader br = new BufferedReader(new InputStreamReader(in))) {
-        while (br.readLine() != null) {
-          // 필요하면 로그
-        }
-      }
-
-    } catch (Exception e) {
-      throw new RuntimeException(e);
-    } finally {
-      if (channel != null) channel.disconnect();
-      if (session != null) session.disconnect();
-    }
-  }
-
   public static List<String> execCommandAndReadLines(String command) {
 
     List<String> result = new ArrayList<>();

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

@@ -0,0 +1,37 @@
+package com.kamco.cd.training.config;
+
+import java.util.concurrent.Executor;
+import org.springframework.context.annotation.Bean;
+import org.springframework.context.annotation.Configuration;
+import org.springframework.scheduling.annotation.EnableAsync;
+import org.springframework.scheduling.concurrent.ThreadPoolTaskExecutor;
+
+@Configuration
+@EnableAsync
+public class AsyncConfig {
+
+  @Bean(name = "trainJobExecutor")
+  public Executor trainJobExecutor() {
+    ThreadPoolTaskExecutor executor = new ThreadPoolTaskExecutor();
+    executor.setCorePoolSize(4); // 동시에 4개 실행
+    executor.setMaxPoolSize(8); // 최대 8개
+    executor.setQueueCapacity(200); // 대기 큐
+    executor.setThreadNamePrefix("train-job-");
+    executor.initialize();
+    return executor;
+  }
+
+  @Bean("datasetExecutor")
+  public Executor datasetExecutor() {
+
+    ThreadPoolTaskExecutor executor = new ThreadPoolTaskExecutor();
+
+    executor.setCorePoolSize(5);
+    executor.setMaxPoolSize(10);
+    executor.setQueueCapacity(100);
+    executor.setThreadNamePrefix("dataset-");
+
+    executor.initialize();
+    return executor;
+  }
+}

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

@@ -24,7 +24,7 @@ public class OpenApiConfig {
   @Value("${swagger.dev-url:https://kamco.training-dev-api.gs.dabeeo.com}")
   private String devUrl;
 
-  @Value("${swagger.prod-url:https://api.training-kamco.com}")
+  @Value("${swagger.prod-url:https://api.train-kamco.com}")
   private String prodUrl;
 
   @Bean
@@ -53,10 +53,10 @@ public class OpenApiConfig {
     } else if ("prod".equals(profile)) {
       //      servers.add(new Server().url(prodUrl).description("운영 서버"));
       servers.add(new Server().url("http://localhost:" + localPort).description("로컬 서버"));
-      servers.add(new Server().url(devUrl).description("개발 서버"));
+      servers.add(new Server().url(prodUrl).description("개발 서버"));
     } else {
       servers.add(new Server().url("http://localhost:" + localPort).description("로컬 서버"));
-      servers.add(new Server().url(devUrl).description("개발 서버"));
+      servers.add(new Server().url(devUrl).description("운영 서버"));
       //      servers.add(new Server().url(prodUrl).description("운영 서버"));
     }
 

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

@@ -76,13 +76,13 @@ public class SecurityConfig {
                         "/api/auth/logout",
                         "/swagger-ui/**",
                         "/v3/api-docs/**",
-                        "/api/members/*/password",
                         "/api/upload/chunk-upload-dataset",
                         "/api/upload/chunk-upload-complete",
                         "/download_progress_test.html",
                         "/api/models/download/**")
                     .permitAll()
-
+                    .requestMatchers("/api/members/*/password")
+                    .authenticated()
                     // default
                     .anyRequest()
                     .authenticated())
@@ -104,15 +104,19 @@ public class SecurityConfig {
     return new BCryptPasswordEncoder();
   }
 
-  /** CORS 설정 */
+  /** CORS 설정 - application.yml에서 환경별로 관리 */
   @Bean
   public CorsConfigurationSource corsConfigurationSource() {
     CorsConfiguration config = new CorsConfiguration(); // CORS 객체 생성
+
+    // application.yml에서 환경별로 설정된 도메인 사용
     config.setAllowedOriginPatterns(List.of("*")); // 도메인 허용
+
     config.setAllowedMethods(List.of("GET", "POST", "PUT", "PATCH", "DELETE", "OPTIONS"));
     config.setAllowedHeaders(List.of("*")); // 헤더요청 Authorization, Content-Type, X-Custom-Header
     config.setAllowCredentials(true); // 쿠키, Authorization 헤더, Bearer Token 등 자격증명 포함 요청을 허용할지 설정
-    config.setExposedHeaders(List.of("Content-Disposition"));
+    config.setExposedHeaders(List.of("Content-Disposition", "Authorization"));
+    config.setMaxAge(3600L); // Preflight 요청 캐시 (1시간)
 
     UrlBasedCorsConfigurationSource source = new UrlBasedCorsConfigurationSource();
     /** "/**" → 모든 API 경로에 대해 이 CORS 규칙을 적용 /api/** 같이 특정 경로만 지정 가능. */

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

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

src/main/java/com/kamco/cd/training/config/api/ApiLogFilter.java

@@ -16,6 +16,12 @@ public class ApiLogFilter extends OncePerRequestFilter {
   protected void doFilterInternal(
       HttpServletRequest request, HttpServletResponse response, FilterChain filterChain)
       throws ServletException, IOException {
+    String uri = request.getRequestURI();
+    if (uri.contains("/download/")) {
+      filterChain.doFilter(request, response);
+      return;
+    }
+
     ContentCachingRequestWrapper wrappedRequest = new ContentCachingRequestWrapper(request);
 
     ContentCachingResponseWrapper wrappedResponse = new ContentCachingResponseWrapper(response);

src/main/java/com/kamco/cd/training/dataset/DatasetApiController.java

@@ -2,10 +2,14 @@ package com.kamco.cd.training.dataset;
 
 import com.kamco.cd.training.config.api.ApiResponseDto;
 import com.kamco.cd.training.dataset.dto.DatasetDto;
+import com.kamco.cd.training.dataset.dto.DatasetDto.AddDeliveriesReq;
 import com.kamco.cd.training.dataset.dto.DatasetObjDto;
 import com.kamco.cd.training.dataset.dto.DatasetObjDto.DatasetClass;
 import com.kamco.cd.training.dataset.dto.DatasetObjDto.DatasetStorage;
+import com.kamco.cd.training.dataset.service.DatasetAsyncService;
 import com.kamco.cd.training.dataset.service.DatasetService;
+import com.kamco.cd.training.model.dto.FileDto.FoldersDto;
+import com.kamco.cd.training.model.dto.FileDto.SrchFoldersDto;
 import io.swagger.v3.oas.annotations.Operation;
 import io.swagger.v3.oas.annotations.Parameter;
 import io.swagger.v3.oas.annotations.media.Content;
@@ -33,6 +37,7 @@ import org.springframework.web.bind.annotation.*;
 public class DatasetApiController {
 
   private final DatasetService datasetService;
+  private final DatasetAsyncService datasetAsyncService;
 
   @Operation(summary = "학습데이터 관리 목록 조회", description = "학습데이터 목록을 조회합니다.")
   @ApiResponses(
@@ -248,4 +253,48 @@ public class DatasetApiController {
     String path = datasetService.getFilePathByUUIDPathType(uuid, pathType);
     return datasetService.getFilePathByFile(path);
   }
+
+  @Operation(summary = "납품 폴더 조회", description = "납품 폴더 조회 API")
+  @ApiResponses(
+      value = {
+        @ApiResponse(
+            responseCode = "200",
+            description = "조회 성공",
+            content =
+                @Content(
+                    mediaType = "application/json",
+                    schema = @Schema(implementation = FoldersDto.class))),
+        @ApiResponse(responseCode = "404", description = "조회 오류", content = @Content),
+        @ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
+      })
+  @PostMapping("/folder-list")
+  public ApiResponseDto<FoldersDto> getDir(@RequestBody SrchFoldersDto srchDto) throws IOException {
+
+    return ApiResponseDto.createOK(datasetService.getFolderAll(srchDto));
+  }
+
+  @Operation(summary = "납품 학습데이터셋 등록", description = "납품 학습데이터셋 등록 API")
+  @ApiResponses(
+      value = {
+        @ApiResponse(
+            responseCode = "200",
+            description = "등록 성공",
+            content =
+                @Content(
+                    mediaType = "application/json",
+                    schema = @Schema(implementation = String.class))),
+        @ApiResponse(responseCode = "404", description = "조회 오류", content = @Content),
+        @ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
+      })
+  @PostMapping("/deliveries")
+  public ApiResponseDto<String> insertDeliveriesDataset(@RequestBody AddDeliveriesReq req) {
+
+    // 폴더 구조 검증
+    DatasetService.validateTrainValTestDirs(req.getFilePath());
+    // 파일 개수 검증
+    DatasetService.validateDirFileCount(req.getFilePath());
+
+    datasetAsyncService.insertDeliveriesDatasetAsync(req);
+    return ApiResponseDto.createOK("ok");
+  }
 }

src/main/java/com/kamco/cd/training/dataset/dto/DatasetDto.java

@@ -1,7 +1,6 @@
 package com.kamco.cd.training.dataset.dto;
 
 import com.fasterxml.jackson.annotation.JsonIgnore;
-import com.fasterxml.jackson.annotation.JsonInclude;
 import com.kamco.cd.training.common.enums.LearnDataRegister;
 import com.kamco.cd.training.common.enums.LearnDataType;
 import com.kamco.cd.training.common.enums.ModelType;
@@ -146,6 +145,7 @@ public class DatasetDto {
     }
   }
 
+  // TODO 미사용시작
   @Schema(name = "DatasetDetailReq", description = "데이터셋 상세 조회 요청")
   @Getter
   @Setter
@@ -158,6 +158,8 @@ public class DatasetDto {
     private Long datasetId;
   }
 
+  // TODO 미사용 끝
+
   @Schema(name = "DatasetRegisterReq", description = "데이터셋 등록 요청")
   @Getter
   @Setter
@@ -234,7 +236,6 @@ public class DatasetDto {
   @Getter
   @Setter
   @NoArgsConstructor
-  @JsonInclude(JsonInclude.Include.NON_NULL)
   public static class SelectDataSet {
 
     private String modelNo; // G1, G2, G3 모델 타입
@@ -317,6 +318,183 @@ public class DatasetDto {
     }
   }
 
+  @Schema(name = "SelectTransferDataSet", description = "전이학습 데이터셋 선택 리스트")
+  @Getter
+  @Setter
+  @NoArgsConstructor
+  public static class SelectTransferDataSet {
+
+    private String modelNo; // G1, G2, G3 모델 타입
+    private Long datasetId;
+    private UUID uuid;
+    private String dataType;
+    private String title;
+    private Long roundNo;
+    private Integer compareYyyy;
+    private Integer targetYyyy;
+    private String memo;
+    @JsonIgnore private Long classCount;
+    private Integer buildingCnt;
+    private Integer containerCnt;
+    private String dataTypeName;
+
+    private Long wasteCnt;
+    private Long landCoverCnt;
+
+    private String beforeModelNo; // G1, G2, G3 모델 타입
+    private Long beforeDatasetId;
+    private UUID beforeUuid;
+    private String beforeDataType;
+    private String beforeTitle;
+    private Long beforeRoundNo;
+    private Integer beforeCompareYyyy;
+    private Integer beforeTargetYyyy;
+    private String beforeMemo;
+
+    @JsonIgnore private Long beforeClassCount;
+
+    private Integer beforeBuildingCnt;
+    private Integer beforeContainerCnt;
+    private String beforeDataTypeName;
+
+    private Long beforeWasteCnt;
+    private Long beforeLandCoverCnt;
+
+    public SelectTransferDataSet(
+        // 현재
+        String modelNo,
+        Long datasetId,
+        UUID uuid,
+        String dataType,
+        String title,
+        Long roundNo,
+        Integer compareYyyy,
+        Integer targetYyyy,
+        String memo,
+        Long classCount,
+
+        // 이전(before)
+        String beforeModelNo,
+        Long beforeDatasetId,
+        UUID beforeUuid,
+        String beforeDataType,
+        String beforeTitle,
+        Long beforeRoundNo,
+        Integer beforeCompareYyyy,
+        Integer beforeTargetYyyy,
+        String beforeMemo,
+        Long beforeClassCount) {
+      // 현재
+      this.modelNo = modelNo;
+      this.datasetId = datasetId;
+      this.uuid = uuid;
+      this.dataType = dataType;
+      this.dataTypeName = getDataTypeName(dataType);
+      this.title = title;
+      this.roundNo = roundNo;
+      this.compareYyyy = compareYyyy;
+      this.targetYyyy = targetYyyy;
+      this.memo = memo;
+      this.classCount = classCount;
+
+      if (modelNo != null && modelNo.equals(ModelType.G2.getId())) {
+        this.wasteCnt = classCount;
+      } else if (modelNo != null && modelNo.equals(ModelType.G3.getId())) {
+        this.landCoverCnt = classCount;
+      }
+
+      // 이전(before)
+      this.beforeModelNo = beforeModelNo;
+      this.beforeDatasetId = beforeDatasetId;
+      this.beforeUuid = beforeUuid;
+      this.beforeDataType = beforeDataType;
+      this.beforeDataTypeName = getDataTypeName(beforeDataType);
+      this.beforeTitle = beforeTitle;
+      this.beforeRoundNo = beforeRoundNo;
+      this.beforeCompareYyyy = beforeCompareYyyy;
+      this.beforeTargetYyyy = beforeTargetYyyy;
+      this.beforeMemo = beforeMemo;
+      this.beforeClassCount = beforeClassCount;
+
+      if (beforeModelNo != null && beforeModelNo.equals(ModelType.G2.getId())) {
+        this.beforeWasteCnt = beforeClassCount;
+      } else if (beforeModelNo != null && beforeModelNo.equals(ModelType.G3.getId())) {
+        this.beforeLandCoverCnt = beforeClassCount;
+      }
+    }
+
+    public SelectTransferDataSet(
+        // 현재
+        String modelNo,
+        Long datasetId,
+        UUID uuid,
+        String dataType,
+        String title,
+        Long roundNo,
+        Integer compareYyyy,
+        Integer targetYyyy,
+        String memo,
+        Integer buildingCnt,
+        Integer containerCnt,
+
+        // 이전(before)
+        String beforeModelNo,
+        Long beforeDatasetId,
+        UUID beforeUuid,
+        String beforeDataType,
+        String beforeTitle,
+        Long beforeRoundNo,
+        Integer beforeCompareYyyy,
+        Integer beforeTargetYyyy,
+        String beforeMemo,
+        Integer beforeBuildingCnt,
+        Integer beforeContainerCnt) {
+      // 현재
+      this.modelNo = modelNo;
+      this.datasetId = datasetId;
+      this.uuid = uuid;
+      this.dataType = dataType;
+      this.dataTypeName = getDataTypeName(dataType);
+      this.title = title;
+      this.roundNo = roundNo;
+      this.compareYyyy = compareYyyy;
+      this.targetYyyy = targetYyyy;
+      this.memo = memo;
+      this.buildingCnt = buildingCnt;
+      this.containerCnt = containerCnt;
+
+      // 이전(before)
+      this.beforeModelNo = beforeModelNo;
+      this.beforeDatasetId = beforeDatasetId;
+      this.beforeUuid = beforeUuid;
+      this.beforeDataType = beforeDataType;
+      this.beforeDataTypeName = getDataTypeName(beforeDataType);
+      this.beforeTitle = beforeTitle;
+      this.beforeRoundNo = beforeRoundNo;
+      this.beforeCompareYyyy = beforeCompareYyyy;
+      this.beforeTargetYyyy = beforeTargetYyyy;
+      this.beforeMemo = beforeMemo;
+      this.beforeBuildingCnt = beforeBuildingCnt;
+      this.beforeContainerCnt = beforeContainerCnt;
+    }
+
+    public String getDataTypeName(String groupTitleCd) {
+      LearnDataType type = Enums.fromId(LearnDataType.class, groupTitleCd);
+      return type == null ? null : type.getText();
+    }
+
+    public String getYear() {
+      return this.compareYyyy + "-" + this.targetYyyy;
+    }
+
+    public String getBeforeYear() {
+      if (this.beforeCompareYyyy == null || this.beforeTargetYyyy == null) {
+        return null;
+      }
+      return this.beforeCompareYyyy + "-" + this.beforeTargetYyyy;
+    }
+  }
+
   @Getter
   @Setter
   @NoArgsConstructor
@@ -357,4 +535,28 @@ public class DatasetDto {
     private Long totalObjectCount;
     private String datasetPath;
   }
+
+  @Getter
+  @Setter
+  @NoArgsConstructor
+  @AllArgsConstructor
+  public static class AddDeliveriesReq {
+    @Schema(description = "경로", example = "/")
+    private String filePath;
+
+    @Schema(description = "제목", example = "")
+    private String title;
+
+    @Schema(description = "메모", example = "")
+    private String memo;
+
+    @Schema(description = "비교년도", example = "")
+    private Integer compareYyyy;
+
+    @Schema(description = "기준년도", example = "")
+    private Integer targetYyyy;
+
+    @Schema(description = "회차", example = "")
+    private Long roundNo;
+  }
 }

src/main/java/com/kamco/cd/training/dataset/dto/MapSheetDto.java

@@ -1,3 +1,4 @@
+// TODO 미사용시작
 package com.kamco.cd.training.dataset.dto;
 
 import com.kamco.cd.training.common.utils.interfaces.JsonFormatDttm;
@@ -72,6 +73,7 @@ public class MapSheetDto {
     private List<Long> itemIds;
   }
 
+  // TODO 미사용시작
   @Schema(name = "MapSheetCheckReq", description = "도엽 번호 유효성 검증 요청")
   @Getter
   @Setter
@@ -101,3 +103,4 @@ public class MapSheetDto {
     private boolean duplicate;
   }
 }
+// TODO 미사용 끝

src/main/java/com/kamco/cd/training/dataset/service/DatasetAsyncService.java

@@ -0,0 +1,124 @@
+package com.kamco.cd.training.dataset.service;
+
+import com.kamco.cd.training.common.enums.LearnDataRegister;
+import com.kamco.cd.training.dataset.dto.DatasetDto.AddDeliveriesReq;
+import com.kamco.cd.training.dataset.dto.DatasetDto.DatasetMngRegDto;
+import com.kamco.cd.training.postgres.core.DatasetCoreService;
+import java.util.UUID;
+import lombok.RequiredArgsConstructor;
+import lombok.extern.log4j.Log4j2;
+import org.springframework.scheduling.annotation.Async;
+import org.springframework.stereotype.Service;
+
+@Service
+@Log4j2
+@RequiredArgsConstructor
+public class DatasetAsyncService {
+
+  private final DatasetService datasetService;
+  private final DatasetCoreService datasetCoreService;
+
+  private static final String LOG_PREFIX = "[납품 데이터셋]";
+
+  /**
+   * 납품 데이터셋 등록 비동기 업로드 처리 1) 데이터셋 구조/파일 검증 2) UID 생성 및 마스터 데이터 저장 3) 상태를 UPLOADING으로 변경 4) 실제
+   * 데이터(train/val/test) 등록 5) 완료 시 COMPLETED 상태로 변경 6) 실패 시 상태를 UPLOAD_FAILED로 변경 후 데이터 정리(삭제)
+   *
+   * @param req
+   */
+  @Async("datasetExecutor")
+  public void insertDeliveriesDatasetAsync(AddDeliveriesReq req) {
+
+    long startTime = System.currentTimeMillis();
+
+    log.info("{} 업로드 시작 ==========", LOG_PREFIX);
+    log.info(
+        "{} filePath={}, targetYyyy={}, compareYyyy={}, roundNo={}",
+        LOG_PREFIX,
+        req.getFilePath(),
+        req.getTargetYyyy(),
+        req.getCompareYyyy(),
+        req.getRoundNo());
+
+    Long datasetUid = null;
+
+    try {
+
+      // ===== 1. UID 생성 =====
+      String uid = UUID.randomUUID().toString().replace("-", "").toUpperCase();
+      log.info("{} 생성된 UID: {}", LOG_PREFIX, uid);
+
+      // ===== 2. 마스터 데이터 생성 =====
+      String title = req.getTitle();
+
+      if (title == null || title.isBlank()) {
+        Integer compareYyyy = req.getCompareYyyy();
+        Integer targetYyyy = req.getTargetYyyy();
+
+        if (compareYyyy != null && targetYyyy != null) {
+          title = compareYyyy + "-" + targetYyyy;
+        } else {
+          title = null;
+        }
+      }
+
+      DatasetMngRegDto datasetMngRegDto = new DatasetMngRegDto();
+      datasetMngRegDto.setUid(uid);
+      datasetMngRegDto.setDataType("DELIVER");
+      datasetMngRegDto.setCompareYyyy(req.getCompareYyyy() == null ? 0 : req.getCompareYyyy());
+      datasetMngRegDto.setTargetYyyy(req.getTargetYyyy() == null ? 0 : req.getTargetYyyy());
+      datasetMngRegDto.setRoundNo(req.getRoundNo());
+      datasetMngRegDto.setTitle(title);
+      datasetMngRegDto.setMemo(req.getMemo());
+      datasetMngRegDto.setDatasetPath(req.getFilePath());
+
+      // 마스터 저장
+      datasetUid = datasetCoreService.insertDatasetMngData(datasetMngRegDto);
+
+      log.info("{} 마스터 저장 완료. datasetUid={}", LOG_PREFIX, datasetUid);
+
+      // ===== 3. 상태 변경 (업로드중) =====
+      datasetCoreService.updateDatasetUploadStatus(datasetUid, LearnDataRegister.UPLOADING);
+      log.info("{} 상태 변경 → UPLOADING. datasetUid={}", LOG_PREFIX, datasetUid);
+
+      // ===== 4. 데이터 등록 =====
+      long insertStart = System.currentTimeMillis();
+
+      // 납품 데이터 obj 등록
+      datasetService.insertDeliveriesDataset(req, datasetUid);
+
+      log.info(
+          "{} 데이터 등록 완료. datasetUid={}, 소요시간={} ms",
+          LOG_PREFIX,
+          datasetUid,
+          System.currentTimeMillis() - insertStart);
+
+      // ===== 5. 상태 변경 (완료) =====
+      datasetCoreService.updateDatasetUploadStatus(datasetUid, LearnDataRegister.COMPLETED);
+      log.info("{} 상태 변경 → COMPLETED. datasetUid={}", LOG_PREFIX, datasetUid);
+
+      log.info(
+          "{} 업로드 완료. 총 소요시간={} ms ==========", LOG_PREFIX, System.currentTimeMillis() - startTime);
+
+    } catch (Exception e) {
+
+      log.error(
+          "{} 업로드 실패. datasetUid={}, filePath={}", LOG_PREFIX, datasetUid, req.getFilePath(), e);
+
+      if (datasetUid != null) {
+        try {
+          // ===== 실패 처리 =====
+          datasetCoreService.updateDatasetUploadStatus(datasetUid, LearnDataRegister.UPLOAD_FAILED);
+          log.error("{} 상태 변경 → 업로드 실패. datasetUid={}", LOG_PREFIX, datasetUid);
+
+          // 실패 시 데이터 정리
+          datasetCoreService.deleteAllDatasetObj(datasetUid);
+          log.error("{} 데이터 정리 완료. datasetUid={}", LOG_PREFIX, datasetUid);
+
+        } catch (Exception ex) {
+          log.error("{} 실패 후 정리 작업 중 오류. datasetUid={}", LOG_PREFIX, datasetUid, ex);
+        }
+      }
+    }
+  }
+}

src/main/java/com/kamco/cd/training/dataset/service/DatasetBatchService.java

@@ -0,0 +1,199 @@
+package com.kamco.cd.training.dataset.service;
+
+import com.fasterxml.jackson.databind.JsonNode;
+import com.fasterxml.jackson.databind.ObjectMapper;
+import com.fasterxml.jackson.databind.node.ArrayNode;
+import com.fasterxml.jackson.databind.node.ObjectNode;
+import com.kamco.cd.training.dataset.dto.DatasetObjDto.DatasetObjRegDto;
+import com.kamco.cd.training.postgres.core.DatasetCoreService;
+import java.nio.file.Paths;
+import java.util.List;
+import java.util.Map;
+import lombok.RequiredArgsConstructor;
+import lombok.extern.log4j.Log4j2;
+import org.springframework.stereotype.Service;
+import org.springframework.transaction.annotation.Transactional;
+
+@Service
+@Log4j2
+@RequiredArgsConstructor
+public class DatasetBatchService {
+
+  private final DatasetCoreService datasetCoreService;
+  private final ObjectMapper mapper;
+
+  /**
+   * 배치 단위 데이터 저장
+   *
+   * <p>- 전달받은 데이터 목록을 순회하며 개별 insert 처리 - batch 단위로 트랜잭션 관리
+   */
+  @Transactional
+  public void saveBatch(List<Map<String, Object>> batch, Long datasetUid, String type) {
+    for (Map<String, Object> map : batch) {
+      try {
+        insertTrainTestData(map, datasetUid, type);
+      } catch (Exception e) {
+        log.error("파일 단위 실패. skip. file={}", batch, e);
+        continue;
+      }
+    }
+  }
+
+  /**
+   * 단일 데이터 처리 및 insert DTO 생성
+   *
+   * <p>처리 흐름: 1) 경로/JSON 데이터 추출 2) 파일명에서 연도 및 도엽번호 파싱 3) label JSON → feature 단위 분리 4) feature별 DTO
+   * 생성 후 DB insert
+   */
+  private void insertTrainTestData(Map<String, Object> map, Long datasetUid, String subDir) {
+
+    String comparePath = (String) map.get("input1");
+    String targetPath = (String) map.get("input2");
+    String labelPath = (String) map.get("label");
+    String geojsonPath = (String) map.get("geojson_path");
+    Object labelJson = map.get("label-json");
+
+    // JSON 파싱
+    JsonNode json;
+    try {
+      json = parseJson(labelJson);
+      if (json == null) {
+        log.warn("json null. skip. file={}", labelJson);
+        return;
+      }
+    } catch (Exception e) {
+      // 실패하면 skip, 다음 진행
+      log.error("GeoJSON 파싱 실패. skip. file={}", geojsonPath, e);
+      return;
+    }
+
+    // 파일명 파싱
+    String fileName = Paths.get(comparePath).getFileName().toString();
+    String[] fileNameStr = fileName.split("_");
+
+    if (fileNameStr.length < 4) {
+      log.error("파일명 파싱 실패: {}", fileName);
+      return;
+      //      throw new IllegalArgumentException("잘못된 파일명 형식: " + fileName);
+    }
+
+    int compareYyyy = 0;
+    int targetYyyy = 0;
+    try {
+      compareYyyy = parseInt(fileNameStr[1], "compareYyyy", fileName);
+      targetYyyy = parseInt(fileNameStr[2], "targetYyyy", fileName);
+    } catch (Exception e) {
+      log.error("기준년도 파싱 실패: {}", fileName);
+      return;
+    }
+
+    String mapSheetNum = fileNameStr[3];
+
+    // JSON 유효성 체크
+    JsonNode featuresNode = json.path("features");
+
+    // 2. 비어있는지 확인
+    if (featuresNode.isEmpty()) {
+      log.warn("features empty. skip. file={}", geojsonPath);
+      return;
+    }
+
+    if (!featuresNode.isArray()) {
+      log.warn("features array 아님. skip. file={}", geojsonPath);
+      return; // skip
+    }
+
+    if (featuresNode.isMissingNode() || !featuresNode.isArray() || featuresNode.isEmpty()) {
+      return; // skip
+    }
+
+    ObjectNode base = mapper.createObjectNode();
+    base.put("type", "FeatureCollection");
+
+    for (JsonNode feature : featuresNode) {
+
+      try {
+        JsonNode prop = feature.path("properties");
+
+        String compareClassCd = prop.path("before").asText(null);
+        String targetClassCd = prop.path("after").asText(null);
+
+        // null 방어
+        if (compareClassCd == null || targetClassCd == null) {
+          log.warn("class 값 없음. skip. file={}", fileName);
+          continue;
+        }
+
+        ArrayNode arr = mapper.createArrayNode();
+        arr.add(feature);
+
+        ObjectNode root = base.deepCopy();
+        root.set("features", arr);
+
+        DatasetObjRegDto objRegDto =
+            DatasetObjRegDto.builder()
+                .datasetUid(datasetUid)
+                .compareYyyy(compareYyyy)
+                .compareClassCd(compareClassCd)
+                .targetYyyy(targetYyyy)
+                .targetClassCd(targetClassCd)
+                .comparePath(comparePath)
+                .targetPath(targetPath)
+                .labelPath(labelPath)
+                .mapSheetNum(mapSheetNum)
+                .geojson(root)
+                .geojsonPath(geojsonPath)
+                .fileName(fileName)
+                .build();
+
+        // 데이터 타입별 insert
+        insertByType(subDir, objRegDto);
+      } catch (Exception e) {
+        // 개별 feature skip
+        log.error("feature 처리 실패. skip. file={}", fileName, e);
+      }
+    }
+  }
+
+  /** 데이터 타입별 insert 처리 - type 값에 따라 대상 테이블 분기 - 잘못된 타입 입력 시 예외 발생 */
+  private void insertByType(String type, DatasetObjRegDto dto) {
+
+    switch (type) {
+      case "train" -> datasetCoreService.insertDatasetObj(dto);
+      case "val" -> datasetCoreService.insertDatasetValObj(dto);
+      case "test" -> datasetCoreService.insertDatasetTestObj(dto);
+      default -> throw new IllegalArgumentException("잘못된 타입: " + type);
+    }
+  }
+
+  /**
+   * label_json → JsonNode 변환
+   *
+   * <p>- JsonNode면 그대로 사용 - 문자열이면 파싱 수행 - 실패 시 로그 후 예외 발생
+   */
+  private JsonNode parseJson(Object labelJson) {
+    try {
+      if (labelJson instanceof JsonNode jn) {
+        return jn;
+      }
+      return mapper.readTree(labelJson.toString());
+    } catch (Exception e) {
+      log.error("label_json parse error: {}", labelJson, e);
+      return null;
+    }
+  }
+
+  /**
+   * 문자열 → 정수 변환
+   *
+   * <p>- 파싱 실패 시 어떤 필드/파일에서 발생했는지 로그 기록 - 잘못된 데이터는 즉시 예외 처리
+   */
+  private int parseInt(String value, String field, String fileName) {
+    try {
+      return Integer.parseInt(value);
+    } catch (NumberFormatException e) {
+      log.error("{} 파싱 실패. fileName={}, value={}", field, fileName, value);
+      throw new IllegalArgumentException(field + " 파싱 실패: " + fileName);
+    }
+  }
+}

src/main/java/com/kamco/cd/training/dataset/service/DatasetService.java

@@ -4,6 +4,7 @@ import com.fasterxml.jackson.databind.JsonNode;
 import com.fasterxml.jackson.databind.ObjectMapper;
 import com.fasterxml.jackson.databind.node.ArrayNode;
 import com.fasterxml.jackson.databind.node.ObjectNode;
+import com.kamco.cd.training.common.enums.LearnDataRegister;
 import com.kamco.cd.training.common.enums.LearnDataType;
 import com.kamco.cd.training.common.exception.CustomApiException;
 import com.kamco.cd.training.common.service.FormatStorage;
@@ -11,6 +12,7 @@ import com.kamco.cd.training.common.utils.FIleChecker;
 import com.kamco.cd.training.config.api.ApiResponseDto.ApiResponseCode;
 import com.kamco.cd.training.config.api.ApiResponseDto.ResponseObj;
 import com.kamco.cd.training.dataset.dto.DatasetDto;
+import com.kamco.cd.training.dataset.dto.DatasetDto.AddDeliveriesReq;
 import com.kamco.cd.training.dataset.dto.DatasetDto.AddReq;
 import com.kamco.cd.training.dataset.dto.DatasetDto.DatasetMngRegDto;
 import com.kamco.cd.training.dataset.dto.DatasetObjDto;
@@ -18,8 +20,11 @@ import com.kamco.cd.training.dataset.dto.DatasetObjDto.DatasetClass;
 import com.kamco.cd.training.dataset.dto.DatasetObjDto.DatasetObjRegDto;
 import com.kamco.cd.training.dataset.dto.DatasetObjDto.DatasetStorage;
 import com.kamco.cd.training.dataset.dto.DatasetObjDto.SearchReq;
+import com.kamco.cd.training.model.dto.FileDto.FoldersDto;
+import com.kamco.cd.training.model.dto.FileDto.SrchFoldersDto;
 import com.kamco.cd.training.postgres.core.DatasetCoreService;
 import jakarta.validation.Valid;
+import java.io.File;
 import java.io.IOException;
 import java.io.InputStream;
 import java.nio.file.Files;
@@ -27,6 +32,8 @@ import java.nio.file.Path;
 import java.nio.file.Paths;
 import java.util.ArrayList;
 import java.util.Arrays;
+import java.util.Collections;
+import java.util.Comparator;
 import java.util.HashMap;
 import java.util.HashSet;
 import java.util.List;
@@ -37,7 +44,6 @@ import java.util.stream.Collectors;
 import java.util.stream.Stream;
 import lombok.RequiredArgsConstructor;
 import lombok.extern.slf4j.Slf4j;
-import org.springframework.beans.factory.annotation.Value;
 import org.springframework.core.io.InputStreamResource;
 import org.springframework.core.io.Resource;
 import org.springframework.data.domain.Page;
@@ -51,13 +57,10 @@ import org.springframework.transaction.annotation.Transactional;
 @Slf4j
 @Service
 @RequiredArgsConstructor
-@Transactional
 public class DatasetService {
 
   private final DatasetCoreService datasetCoreService;
-
-  @Value("${file.dataset-dir}")
-  private String datasetDir;
+  private final DatasetBatchService datasetBatchService;
 
   private static final List<String> LABEL_DIRS = List.of("label-json", "label", "input1", "input2");
   private static final List<String> REQUIRED_DIRS = Arrays.asList("train", "val", "test");
@@ -84,6 +87,7 @@ public class DatasetService {
     return datasetCoreService.getOneByUuid(id);
   }
 
+  // TODO 미사용시작
   /**
    * 데이터셋 등록
    *
@@ -98,6 +102,7 @@ public class DatasetService {
     return saved.getId();
   }
 
+  // TODO 미사용 끝
   /**
    * 데이터셋 수정
    *
@@ -231,7 +236,7 @@ public class DatasetService {
       return new ResponseObj(ApiResponseCode.INTERNAL_SERVER_ERROR, e.getMessage());
     }
 
-    datasetCoreService.updateDatasetUploadStatus(datasetUid);
+    datasetCoreService.updateDatasetUploadStatus(datasetUid, LearnDataRegister.COMPLETED);
     return new ResponseObj(ApiResponseCode.OK, "업로드 성공하였습니다.");
   }
 
@@ -365,7 +370,12 @@ public class DatasetService {
                   // 폴더별 처리
                   if ("label-json".equals(dirName)) {
                     // json 파일이면 파싱
-                    data.put("label-json", readJson(path));
+                    try {
+                      data.put("label-json", readJson(path));
+                    } catch (Exception e) {
+                      log.error("파일 JSON 읽기 실패. skip. file={}", path, e);
+                      return; // skip
+                    }
                     data.put("geojson_path", path.toAbsolutePath().toString());
                   } else {
                     data.put(dirName, path.toAbsolutePath().toString());
@@ -398,25 +408,8 @@ public class DatasetService {
     return datasetCoreService.getFilePathByUUIDPathType(uuid, pathType);
   }
 
-  private String readRemoteFileAsString(String remoteFilePath) {
-
-    String command = "cat " + escape(remoteFilePath);
-
-    List<String> lines = FIleChecker.execCommandAndReadLines(command);
-
-    return String.join("\n", lines);
-  }
-
-  private JsonNode parseJson(String json) {
-    try {
-      ObjectMapper mapper = new ObjectMapper();
-      return mapper.readTree(json);
-    } catch (IOException e) {
-      throw new RuntimeException("JSON 파싱 실패", e);
-    }
-  }
-
   private String escape(String path) {
+    // 쉘 커맨드에서 안전하게 사용할 수 있도록 문자열을 작은따옴표로 감싸면서, 내부의 작은따옴표를 이스케이프 처리
     return "'" + path.replace("'", "'\"'\"'") + "'";
   }
 
@@ -523,4 +516,164 @@ public class DatasetService {
       }
     }
   }
+
+  /**
+   * 폴더 조회
+   *
+   * @param srchDto 폴더 경로
+   * @return 폴더 리스트
+   * @throws IOException
+   */
+  public FoldersDto getFolderAll(SrchFoldersDto srchDto) throws IOException {
+
+    File dir = new File(srchDto.getDirPath() == null ? "/" : srchDto.getDirPath());
+
+    // 존재 + 디렉토리 체크
+    if (!dir.exists() || !dir.isDirectory()) {
+      throw new CustomApiException("BAD_REQUEST", HttpStatus.BAD_REQUEST, "잘못된 경로입니다.");
+    }
+
+    // 권한 없을때
+    if (!dir.canRead()) {
+      throw new CustomApiException(
+          ApiResponseCode.FORBIDDEN.getId(), HttpStatus.FORBIDDEN, "디렉토리에 접근할 권한이 없습니다.");
+    }
+
+    String canonicalPath = dir.getCanonicalPath();
+
+    File[] files = dir.listFiles();
+
+    if (files == null) {
+      return new FoldersDto(canonicalPath, 0, 0, Collections.emptyList());
+    }
+
+    List<FIleChecker.Folder> folders = new ArrayList<>();
+
+    int folderTotCnt = 0;
+    int folderErrTotCnt = 0;
+
+    for (File f : files) {
+
+      // 숨김 제외
+      if (f.isHidden()) continue;
+
+      if (f.isDirectory()) {
+
+        // 폴더 개수 증가
+        folderTotCnt++;
+
+        // 폴더 유효성 여부 (기본 true, 이후 검증 로직으로 변경 가능)
+        boolean isValid = true;
+
+        // 유효하지 않은 폴더 카운트 증가
+        if (!isValid) folderErrTotCnt++;
+
+        // 현재 폴더 이름 (ex: train, images 등)
+        String folderNm = f.getName();
+
+        // 부모 경로 (ex: /data/datasets)
+        String parentPath = f.getParent();
+
+        // 부모 폴더 이름 (ex: datasets)
+        String parentFolderNm = new File(parentPath).getName();
+
+        // 전체 절대 경로 (ex: /data/datasets/train)
+        String fullPath = f.getAbsolutePath();
+
+        // 폴더 깊이 (경로 기준 depth)
+        // ex: /a/b/c → depth = 3
+        int depth = f.toPath().getNameCount();
+
+        // 하위 폴더 개수
+        long childCnt = FIleChecker.getChildFolderCount(f);
+
+        // 마지막 수정 시간 (문자열 포맷)
+        String lastModified = FIleChecker.getLastModified(f);
+
+        // Folder DTO 생성 및 리스트에 추가
+        folders.add(
+            new FIleChecker.Folder(
+                folderNm, // 폴더명
+                parentFolderNm, // 부모 폴더명
+                parentPath, // 부모 경로
+                fullPath, // 전체 경로
+                depth, // 깊이
+                childCnt, // 하위 폴더 개수
+                lastModified, // 수정일시
+                isValid // 유효성 여부
+                ));
+      }
+    }
+
+    // 폴더 정렬
+    folders.sort(
+        Comparator.comparing(FIleChecker.Folder::getFolderNm, String.CASE_INSENSITIVE_ORDER));
+
+    return new FoldersDto(canonicalPath, folderTotCnt, folderErrTotCnt, folders);
+  }
+
+  /**
+   * 납품 데이터 등록
+   *
+   * @param req 폴더경로, 메모
+   * @return 성공/실패 여부0
+   */
+  public void insertDeliveriesDataset(AddDeliveriesReq req, Long datasetUid) {
+
+    long startTime = System.currentTimeMillis();
+
+    // 처리
+    processType(req.getFilePath(), datasetUid, "train");
+    processType(req.getFilePath(), datasetUid, "val");
+    processType(req.getFilePath(), datasetUid, "test");
+
+    log.info("========== 전체 완료. 총 소요시간: {} ms ==========", System.currentTimeMillis() - startTime);
+  }
+
+  /**
+   * 납품 데이터 등록 처리
+   *
+   * @param path
+   * @param datasetUid
+   * @param type
+   */
+  private void processType(String path, Long datasetUid, String type) {
+    long start = System.currentTimeMillis();
+
+    log.info("[납품 데이터 등록 처리][{}] 시작", type.toUpperCase());
+
+    List<Map<String, Object>> list = getUnzipDatasetFiles(path, type);
+
+    int batchSize = 1000;
+    int total = list.size();
+    int processed = 0;
+
+    for (int i = 0; i < total; i += batchSize) {
+
+      List<Map<String, Object>> batch = list.subList(i, Math.min(i + batchSize, total));
+
+      try {
+        log.info("[납품 데이터 등록 처리][{}] batch 시작: {} ~ {}", type, i, i + batch.size());
+
+        datasetBatchService.saveBatch(batch, datasetUid, type);
+
+        processed += batch.size();
+      } catch (Exception e) {
+        log.error("batch 실패 row 데이터: {}", batch);
+        log.error(
+            "[납품 데이터 등록 처리][{}] batch 실패. range: {} ~ {}, datasetUid={}",
+            type,
+            i,
+            i + batch.size(),
+            datasetUid,
+            e);
+      }
+    }
+
+    log.info(
+        "[납품 데이터 등록 처리][{}] 완료. 총 {}건, 소요시간: {} ms",
+        type,
+        total,
+        System.currentTimeMillis() - start);
+  }
 }

src/main/java/com/kamco/cd/training/dataset/service/MapSheetService.java

@@ -1,3 +1,4 @@
+// TODO 미사용시작
 package com.kamco.cd.training.dataset.service;
 
 import com.kamco.cd.training.dataset.dto.MapSheetDto;
@@ -39,3 +40,4 @@ public class MapSheetService {
     log.info("도엽 삭제 완료 - 개수: {}", deleteReq.getItemIds().size());
   }
 }
+// TODO 미사용 끝

src/main/java/com/kamco/cd/training/hyperparam/HyperParamApiController.java

@@ -97,9 +97,9 @@ public class HyperParamApiController {
           String type,
       @Parameter(description = "시작일", example = "2026-02-01") @RequestParam(required = false)
           LocalDate startDate,
-      @Parameter(description = "종료일", example = "2026-02-28") @RequestParam(required = false)
+      @Parameter(description = "종료일", example = "2026-03-31") @RequestParam(required = false)
           LocalDate endDate,
-      @Parameter(description = "버전명", example = "G_000001") @RequestParam(required = false)
+      @Parameter(description = "버전명", example = "G1_000019") @RequestParam(required = false)
           String hyperVer,
       @Parameter(description = "모델 타입 (G1, G2, G3 중 하나)", example = "G1")
           @RequestParam(required = false)
@@ -142,7 +142,7 @@ public class HyperParamApiController {
       })
   @DeleteMapping("/{uuid}")
   public ApiResponseDto<Void> deleteHyperParam(
-      @Parameter(description = "하이퍼파라미터 uuid", example = "c3b5a285-8f68-42af-84f0-e6d09162deb5")
+      @Parameter(description = "하이퍼파라미터 uuid", example = "57fc9170-64c1-4128-aa7b-0657f08d6d10")
           @PathVariable
           UUID uuid) {
     hyperParamService.deleteHyperParam(uuid);
@@ -164,7 +164,7 @@ public class HyperParamApiController {
       })
   @GetMapping("/{uuid}")
   public ApiResponseDto<HyperParamDto.Basic> getHyperParam(
-      @Parameter(description = "하이퍼파라미터 uuid", example = "c3b5a285-8f68-42af-84f0-e6d09162deb5")
+      @Parameter(description = "하이퍼파라미터 uuid", example = "57fc9170-64c1-4128-aa7b-0657f08d6d10")
           @PathVariable
           UUID uuid) {
     return ApiResponseDto.ok(hyperParamService.getHyperParam(uuid));

src/main/java/com/kamco/cd/training/hyperparam/dto/HyperParamDto.java

@@ -29,6 +29,8 @@ public class HyperParamDto {
     private UUID uuid;
     private String hyperVer;
     @JsonFormatDttm private ZonedDateTime createdDttm;
+    @JsonFormatDttm private ZonedDateTime lastUsedDttm;
+    private Integer totalUseCnt;
 
     // -------------------------
     // Important
@@ -115,10 +117,7 @@ public class HyperParamDto {
     @JsonFormatDttm private ZonedDateTime createDttm;
     @JsonFormatDttm private ZonedDateTime lastUsedDttm;
     private String memo;
-    private Long m1UseCnt;
-    private Long m2UseCnt;
-    private Long m3UseCnt;
-    private Long totalCnt;
+    private Integer totalUseCnt;
   }
 
   @Getter

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

@@ -11,9 +11,9 @@ import com.kamco.cd.training.model.dto.ModelTrainDetailDto.ModelTrainMetrics;
 import com.kamco.cd.training.model.dto.ModelTrainDetailDto.ModelValidationMetrics;
 import com.kamco.cd.training.model.dto.ModelTrainDetailDto.TransferDetailDto;
 import com.kamco.cd.training.model.dto.ModelTrainMngDto.Basic;
+import com.kamco.cd.training.model.dto.ModelTrainMngDto.CleanupResult;
 import com.kamco.cd.training.model.dto.ModelTrainMngDto.ModelProgressStepDto;
 import com.kamco.cd.training.model.service.ModelTrainDetailService;
-import com.kamco.cd.training.model.service.ModelTrainMngService;
 import io.swagger.v3.oas.annotations.Operation;
 import io.swagger.v3.oas.annotations.Parameter;
 import io.swagger.v3.oas.annotations.enums.ParameterIn;
@@ -34,6 +34,7 @@ import lombok.RequiredArgsConstructor;
 import org.apache.coyote.BadRequestException;
 import org.springframework.beans.factory.annotation.Value;
 import org.springframework.http.ResponseEntity;
+import org.springframework.web.bind.annotation.DeleteMapping;
 import org.springframework.web.bind.annotation.GetMapping;
 import org.springframework.web.bind.annotation.PathVariable;
 import org.springframework.web.bind.annotation.RequestMapping;
@@ -45,7 +46,6 @@ import org.springframework.web.bind.annotation.RestController;
 @RequestMapping("/api/models")
 public class ModelTrainDetailApiController {
   private final ModelTrainDetailService modelTrainDetailService;
-  private final ModelTrainMngService modelTrainMngService;
   private final RangeDownloadResponder rangeDownloadResponder;
 
   @Value("${train.docker.responseDir}")
@@ -134,26 +134,26 @@ public class ModelTrainDetailApiController {
     return ApiResponseDto.ok(modelTrainDetailService.getByModelMappingDataset(uuid));
   }
 
-  @Operation(summary = "모델관리 > 전이 학습 실행설정 > 모델선택", description = "모델선택 정보 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("/transfer/detail/{uuid}")
-  public ApiResponseDto<TransferDetailDto> getTransferDetail(
-      @Parameter(description = "모델 uuid", example = "7fbdff54-ea87-4b02-90d1-955fa2a3457e")
-          @PathVariable
-          UUID uuid) {
-    return ApiResponseDto.ok(modelTrainDetailService.getTransferDetail(uuid));
-  }
+  //  @Operation(summary = "모델관리 > 전이 학습 실행설정 > 모델선택", description = "모델선택 정보 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("/transfer/detail/{uuid}")
+  //  public ApiResponseDto<TransferDetailDto> getTransferDetail(
+  //      @Parameter(description = "모델 uuid", example = "7fbdff54-ea87-4b02-90d1-955fa2a3457e")
+  //          @PathVariable
+  //          UUID uuid) {
+  //    return ApiResponseDto.ok(modelTrainDetailService.getTransferDetail(uuid));
+  //  }
 
   @Operation(summary = "모델관리 > 모델 상세 > 성능 정보 (Train)", description = "모델 상세 > 성능 정보 (Train) API")
   @ApiResponses(
@@ -326,4 +326,44 @@ public class ModelTrainDetailApiController {
           UUID uuid) {
     return ApiResponseDto.ok(modelTrainDetailService.findModelTrainProgressInfo(uuid));
   }
+
+  @Operation(
+      summary = "모델관리 > 모델 상세 > best epoch 제외 삭제 될 파일 미리보기",
+      description = "best epoch 제외 삭제 될 파일 미리보기 API")
+  @ApiResponses(
+      value = {
+        @ApiResponse(
+            responseCode = "200",
+            description = "조회 성공",
+            content =
+                @Content(
+                    mediaType = "application/json",
+                    schema = @Schema(implementation = CleanupResult.class))),
+        @ApiResponse(responseCode = "404", description = "데이터셋을 찾을 수 없음", content = @Content),
+        @ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
+      })
+  @GetMapping("/{uuid}/cleanup/preview")
+  public ApiResponseDto<CleanupResult> previewCleanup(
+      @Parameter(description = "모델 uuid") @PathVariable UUID uuid) {
+    return ApiResponseDto.ok(modelTrainDetailService.previewCleanup(uuid));
+  }
+
+  @Operation(summary = "모델관리 > 모델 상세 > best epoch 제외 삭제", description = "best epoch 제외 파일 삭제 API")
+  @ApiResponses(
+      value = {
+        @ApiResponse(
+            responseCode = "200",
+            description = "삭제 성공",
+            content =
+                @Content(
+                    mediaType = "application/json",
+                    schema = @Schema(implementation = CleanupResult.class))),
+        @ApiResponse(responseCode = "404", description = "데이터셋을 찾을 수 없음", content = @Content),
+        @ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
+      })
+  @DeleteMapping("/{uuid}/cleanup")
+  public ApiResponseDto<CleanupResult> cleanup(
+      @Parameter(description = "모델 uuid") @PathVariable UUID uuid) {
+    return ApiResponseDto.ok(modelTrainDetailService.cleanup(uuid));
+  }
 }

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

@@ -1,5 +1,7 @@
 package com.kamco.cd.training.model;
 
+import com.kamco.cd.training.common.dto.MonitorDto;
+import com.kamco.cd.training.common.service.SystemMonitorService;
 import com.kamco.cd.training.config.api.ApiResponseDto;
 import com.kamco.cd.training.dataset.dto.DatasetDto;
 import com.kamco.cd.training.dataset.dto.DatasetDto.DatasetReq;
@@ -40,6 +42,7 @@ public class ModelTrainMngApiController {
   private final ModelTrainMngService modelTrainMngService;
   private final ModelTrainMetricsJobService modelTrainMetricsJobService;
   private final ModelTestMetricsJobService modelTestMetricsJobService;
+  private final SystemMonitorService systemMonitorService;
 
   @Operation(summary = "모델학습 목록 조회", description = "모델학습 목록 조회 API")
   @ApiResponses(
@@ -155,7 +158,9 @@ public class ModelTrainMngApiController {
     return ApiResponseDto.ok(modelTrainMngService.getDatasetSelectList(req));
   }
 
-  @Operation(summary = "모델학습 1단계 실행중인 것이 있는지 count", description = "모델학습 1단계 실행중인 것이 있는지 count")
+  @Operation(
+      summary = "모델학습 1단계/2단계 실행중인 것이 있는지 count",
+      description = "모델학습 1단계/2단계 실행중인 것이 있는지 count")
   @ApiResponses(
       value = {
         @ApiResponse(
@@ -212,4 +217,22 @@ public class ModelTrainMngApiController {
     modelTestMetricsJobService.findTestValidMetricCsvFiles();
     return ApiResponseDto.ok(null);
   }
+
+  @Operation(summary = "학습서버 시스템 사용율 조회", description = "cpu, gpu, memory 사용율 조회")
+  @ApiResponses(
+      value = {
+        @ApiResponse(
+            responseCode = "200",
+            description = "검색 성공",
+            content =
+                @Content(
+                    mediaType = "application/json",
+                    schema = @Schema(implementation = Long.class))),
+        @ApiResponse(responseCode = "400", description = "잘못된 검색 조건", content = @Content),
+        @ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
+      })
+  @GetMapping("/monitor")
+  public ApiResponseDto<MonitorDto> getSystem() throws IOException {
+    return ApiResponseDto.ok(systemMonitorService.get());
+  }
 }

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

@@ -0,0 +1,160 @@
+package com.kamco.cd.training.model.dto;
+
+import com.kamco.cd.training.common.utils.FIleChecker;
+import io.swagger.v3.oas.annotations.media.Schema;
+import jakarta.validation.constraints.NotNull;
+import java.util.List;
+import lombok.AllArgsConstructor;
+import lombok.Getter;
+import lombok.NoArgsConstructor;
+import lombok.Setter;
+
+public class FileDto {
+
+  @Getter
+  @Setter
+  @NoArgsConstructor
+  @AllArgsConstructor
+  public static class SrchFoldersDto {
+    @Schema(description = "디렉토리경로(ROOT:/)", example = "")
+    @NotNull
+    private String dirPath = "/";
+  }
+
+  @Getter
+  @Setter
+  @NoArgsConstructor
+  @AllArgsConstructor
+  public static class SrchFilesDto {
+    @Schema(description = "디렉토리경로", example = "D:\\kamco\\2022\\캠코_2021_2022_34602060_D1")
+    @NotNull
+    private String dirPath;
+
+    @Schema(description = "전체(*), cpg,dbf,geojson등", example = "*")
+    @NotNull
+    private String extension;
+
+    @Schema(description = "파일명(name), 최종수정일(date)", example = "name")
+    @NotNull
+    private String sortType;
+
+    @Schema(description = "파일시작위치", example = "1")
+    @NotNull
+    private Integer startPos;
+
+    @Schema(description = "파일종료위치", example = "100")
+    @NotNull
+    private Integer endPos;
+  }
+
+  // TODO 미사용시작
+  @Getter
+  @Setter
+  @NoArgsConstructor
+  @AllArgsConstructor
+  public static class SrchFilesDepthDto extends SrchFilesDto {
+    @Schema(description = "최대폴더Depth", example = "5")
+    @NotNull
+    private Integer maxDepth;
+  }
+
+  @Schema(name = "FolderDto", description = "폴더 정보")
+  @Getter
+  public static class FolderDto {
+    private final String folderNm;
+    private final String parentFolderNm;
+    private final String parentPath;
+    private final String fullPath;
+    private final int depth;
+    private final long childCnt;
+    private final String lastModified;
+    private final Boolean isValid;
+
+    public FolderDto(
+        String folderNm,
+        String parentFolderNm,
+        String parentPath,
+        String fullPath,
+        int depth,
+        long childCnt,
+        String lastModified,
+        Boolean isValid) {
+      this.folderNm = folderNm;
+      this.parentFolderNm = parentFolderNm;
+      this.parentPath = parentPath;
+      this.fullPath = fullPath;
+      this.depth = depth;
+      this.childCnt = childCnt;
+      this.lastModified = lastModified;
+      this.isValid = isValid;
+    }
+  }
+
+  // TODO 미사용 끝
+
+  @Schema(name = "FoldersDto", description = "폴더목록 정보")
+  @Getter
+  public static class FoldersDto {
+    private final String dirPath;
+    private final int folderTotCnt;
+    private final int folderErrTotCnt;
+    private final List<FIleChecker.Folder> folders;
+
+    public FoldersDto(
+        String dirPath, int folderTotCnt, int folderErrTotCnt, List<FIleChecker.Folder> folders) {
+
+      this.dirPath = dirPath;
+      this.folderTotCnt = folderTotCnt;
+      this.folderErrTotCnt = folderErrTotCnt;
+      this.folders = folders;
+    }
+  }
+
+  @Schema(name = "File Basic", description = "파일 기본 정보")
+  @Getter
+  public static class Basic {
+
+    private final String fileNm;
+    private final String parentFolderNm;
+    private final String parentPath;
+    private final String fullPath;
+    private final String extension;
+    private final long fileSize;
+    private final String lastModified;
+
+    public Basic(
+        String fileNm,
+        String parentFolderNm,
+        String parentPath,
+        String fullPath,
+        String extension,
+        long fileSize,
+        String lastModified) {
+      this.fileNm = fileNm;
+      this.parentFolderNm = parentFolderNm;
+      this.parentPath = parentPath;
+      this.fullPath = fullPath;
+      this.extension = extension;
+      this.fileSize = fileSize;
+      this.lastModified = lastModified;
+    }
+  }
+
+  @Schema(name = "FilesDto", description = "파일 목록 정보")
+  @Getter
+  public static class FilesDto {
+    private final String dirPath;
+    private final int fileTotCnt;
+    private final long fileTotSize;
+    private final List<FIleChecker.Basic> files;
+
+    public FilesDto(
+        String dirPath, int fileTotCnt, long fileTotSize, List<FIleChecker.Basic> files) {
+
+      this.dirPath = dirPath;
+      this.fileTotCnt = fileTotCnt;
+      this.fileTotSize = fileTotSize;
+      this.files = files;
+    }
+  }
+}

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

@@ -20,4 +20,25 @@ public class ModelConfigDto {
     private Float testPercent;
     private String memo;
   }
+
+  @Getter
+  @Setter
+  @NoArgsConstructor
+  @AllArgsConstructor
+  public static class TransferBasic {
+    private Long configId;
+    private Long modelId;
+    private Integer epochCount;
+    private Float trainPercent;
+    private Float validationPercent;
+    private Float testPercent;
+    private String memo;
+    private Long beforeConfigId;
+    private Long beforeModelId;
+    private Integer beforeEpochCount;
+    private Float beforeTrainPercent;
+    private Float beforeValidationPercent;
+    private Float beforeTestPercent;
+    private String beforeMemo;
+  }
 }

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

@@ -6,7 +6,7 @@ import com.kamco.cd.training.common.enums.TrainStatusType;
 import com.kamco.cd.training.common.enums.TrainType;
 import com.kamco.cd.training.common.utils.enums.Enums;
 import com.kamco.cd.training.common.utils.interfaces.JsonFormatDttm;
-import com.kamco.cd.training.dataset.dto.DatasetDto.SelectDataSet;
+import com.kamco.cd.training.dataset.dto.DatasetDto.SelectTransferDataSet;
 import io.swagger.v3.oas.annotations.media.Schema;
 import java.time.Duration;
 import java.time.ZonedDateTime;
@@ -35,6 +35,7 @@ public class ModelTrainDetailDto {
     @JsonFormatDttm private ZonedDateTime step2EndDttm;
     private String statusCd;
     private String trainType;
+    private UUID beforeUuid;
 
     public String getStatusName() {
       if (this.statusCd == null || this.statusCd.isBlank()) return null;
@@ -176,9 +177,10 @@ public class ModelTrainDetailDto {
   @NoArgsConstructor
   @AllArgsConstructor
   public static class TransferDetailDto {
-    private ModelConfigDto.Basic etcConfig;
+    private ModelConfigDto.TransferBasic etcConfig;
     private TransferHyperSummary modelTrainHyper;
-    private List<SelectDataSet> modelTrainDataset;
+    private List<SelectTransferDataSet> modelTrainDataset;
+    //    private List<SelectDataSet> beforeTrainDataset;
   }
 
   @Getter

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

@@ -47,6 +47,9 @@ public class ModelTrainMngDto {
     private ZonedDateTime packingStrtDttm;
     private ZonedDateTime packingEndDttm;
 
+    private Long beforeModelId;
+    private Integer bestEpoch;
+
     public String getStatusName() {
       if (this.statusCd == null || this.statusCd.isBlank()) return null;
       try {
@@ -249,6 +252,7 @@ public class ModelTrainMngDto {
 
     private String memo;
     private String userNm;
+    private UUID beforeUuid;
 
     public String getStatusName() {
       if (this.statusCd == null || this.statusCd.isBlank()) return null;
@@ -324,4 +328,26 @@ public class ModelTrainMngDto {
     @JsonFormatDttm private ZonedDateTime endTime;
     private boolean isError;
   }
+
+  @Getter
+  @Setter
+  public static class CleanupResult {
+    // cleanup 대상 전체 파일 수 (삭제 대상 + 유지 파일 포함)
+    private int totalCount;
+
+    // 실제로 삭제된 파일 개수
+    private int deletedCount;
+
+    // 삭제 실패한 파일 개수
+    private int failedCount;
+
+    // 삭제 실패한 파일명 목록
+    private List<String> failedFiles;
+
+    // 유지된 파일명 (best epoch 기준)
+    private String keptFile;
+
+    // 삭제 될 파일
+    private List<String> deleteTargets;
+  }
 }

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

@@ -1,7 +1,10 @@
 package com.kamco.cd.training.model.service;
 
+import com.kamco.cd.training.common.enums.ModelType;
+import com.kamco.cd.training.common.enums.TrainStatusType;
+import com.kamco.cd.training.common.exception.CustomApiException;
 import com.kamco.cd.training.dataset.dto.DatasetDto.DatasetReq;
-import com.kamco.cd.training.dataset.dto.DatasetDto.SelectDataSet;
+import com.kamco.cd.training.dataset.dto.DatasetDto.SelectTransferDataSet;
 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;
@@ -13,15 +16,31 @@ import com.kamco.cd.training.model.dto.ModelTrainDetailDto.ModelTrainMetrics;
 import com.kamco.cd.training.model.dto.ModelTrainDetailDto.ModelValidationMetrics;
 import com.kamco.cd.training.model.dto.ModelTrainDetailDto.TransferDetailDto;
 import com.kamco.cd.training.model.dto.ModelTrainDetailDto.TransferHyperSummary;
+import com.kamco.cd.training.model.dto.ModelTrainMngDto;
 import com.kamco.cd.training.model.dto.ModelTrainMngDto.Basic;
+import com.kamco.cd.training.model.dto.ModelTrainMngDto.CleanupResult;
 import com.kamco.cd.training.model.dto.ModelTrainMngDto.ModelProgressStepDto;
 import com.kamco.cd.training.postgres.core.ModelTrainDetailCoreService;
 import com.kamco.cd.training.postgres.core.ModelTrainMngCoreService;
+import java.io.IOException;
+import java.nio.file.AccessDeniedException;
+import java.nio.file.FileVisitOption;
+import java.nio.file.FileVisitResult;
+import java.nio.file.Files;
+import java.nio.file.LinkOption;
+import java.nio.file.Path;
+import java.nio.file.Paths;
+import java.nio.file.SimpleFileVisitor;
+import java.nio.file.attribute.BasicFileAttributes;
 import java.util.ArrayList;
+import java.util.EnumSet;
 import java.util.List;
 import java.util.UUID;
+import java.util.stream.Stream;
 import lombok.RequiredArgsConstructor;
 import lombok.extern.slf4j.Slf4j;
+import org.springframework.beans.factory.annotation.Value;
+import org.springframework.http.HttpStatus;
 import org.springframework.stereotype.Service;
 import org.springframework.transaction.annotation.Transactional;
 
@@ -34,6 +53,9 @@ public class ModelTrainDetailService {
   private final ModelTrainDetailCoreService modelTrainDetailCoreService;
   private final ModelTrainMngCoreService mngCoreService;
 
+  @Value("${train.docker.responseDir}")
+  private String responseDir;
+
   /**
    * 모델 상세정보 요약
    *
@@ -62,6 +84,7 @@ public class ModelTrainDetailService {
     return modelTrainDetailCoreService.findByModelByUUID(uuid);
   }
 
+  // TODO 미사용시작
   /**
    * 전이학습 모델선택 정보
    *
@@ -72,11 +95,11 @@ public class ModelTrainDetailService {
     Basic modelInfo = modelTrainDetailCoreService.findByModelByUUID(uuid);
 
     // config 정보 조회
-    ModelConfigDto.Basic configInfo = mngCoreService.findModelConfigByModelId(uuid);
+    ModelConfigDto.TransferBasic configInfo = mngCoreService.findModelTransferConfigByModelId(uuid);
 
     // 하이파라미터 정보 조회
     TransferHyperSummary hyperSummary = modelTrainDetailCoreService.getTransferHyperSummary(uuid);
-    List<SelectDataSet> dataSets = new ArrayList<>();
+    List<SelectTransferDataSet> dataSets = new ArrayList<>();
 
     DatasetReq datasetReq = new DatasetReq();
     List<Long> datasetIds = new ArrayList<>();
@@ -89,12 +112,37 @@ public class ModelTrainDetailService {
     datasetReq.setIds(datasetIds);
     datasetReq.setModelNo(modelInfo.getModelNo());
 
-    if (modelInfo.getModelNo().equals("G1")) {
-      dataSets = mngCoreService.getDatasetSelectG1List(datasetReq);
+    if (modelInfo.getModelNo().equals(ModelType.G1.getId())) {
+      dataSets = mngCoreService.getDatasetTransferSelectG1List(modelInfo.getId());
     } else {
-      dataSets = mngCoreService.getDatasetSelectG2G3List(datasetReq);
+      dataSets =
+          mngCoreService.getDatasetTransferSelectG2G3List(
+              modelInfo.getId(), modelInfo.getModelNo());
     }
 
+    //    DatasetReq beforeDatasetReq = new DatasetReq();
+    //    List<Long> beforeDatasetIds = new ArrayList<>();
+    //    List<SelectDataSet> beforeDataSets = new ArrayList<>();
+    //
+    //    Long beforeModelId = modelInfo.getBeforeModelId();
+    //    if (beforeModelId != null) {
+    //      Basic beforeInfo = modelTrainDetailCoreService.findByModelBeforeId(beforeModelId);
+    //      List<MappingDataset> beforeDatasets =
+    //          modelTrainDetailCoreService.getByModelMappingDataset(beforeInfo.getUuid());
+    //
+    //      for (MappingDataset before : beforeDatasets) {
+    //        beforeDatasetIds.add(before.getDatasetId());
+    //      }
+    //      beforeDatasetReq.setIds(beforeDatasetIds);
+    //      beforeDatasetReq.setModelNo(modelInfo.getModelNo());
+    //
+    //      if (beforeInfo.getModelNo().equals(ModelType.G1.getId())) {
+    //        beforeDataSets = mngCoreService.getDatasetSelectG1List(beforeDatasetReq);
+    //      } else {
+    //        beforeDataSets = mngCoreService.getDatasetSelectG2G3List(beforeDatasetReq);
+    //      }
+    //    }
+
     TransferDetailDto transferDetailDto = new TransferDetailDto();
     transferDetailDto.setEtcConfig(configInfo);
     transferDetailDto.setModelTrainHyper(hyperSummary);
@@ -103,6 +151,8 @@ public class ModelTrainDetailService {
     return transferDetailDto;
   }
 
+  // TODO 미사용 끝
+
   public List<ModelTrainMetrics> getModelTrainMetricResult(UUID uuid) {
     return modelTrainDetailCoreService.getModelTrainMetricResult(uuid);
   }
@@ -126,4 +176,262 @@ public class ModelTrainDetailService {
   public List<ModelProgressStepDto> findModelTrainProgressInfo(UUID uuid) {
     return modelTrainDetailCoreService.findModelTrainProgressInfo(uuid);
   }
+
+  /**
+   * 삭제될 파일목록 및 유지될 파일 목록
+   *
+   * @param uuid
+   * @return
+   */
+  public CleanupResult previewCleanup(UUID uuid) {
+
+    CleanupResult result = new CleanupResult();
+
+    // ===== 모델 조회 =====
+    ModelTrainMngDto.Basic model = modelTrainDetailCoreService.findByModelByUUID(uuid);
+
+    if (model == null) {
+      throw new CustomApiException(
+          "NOT_FOUND_DATA", HttpStatus.NOT_FOUND, "모델을 찾을 수 없습니다. UUID: " + uuid);
+    }
+
+    Path dir = Paths.get(responseDir, model.getUuid().toString()).toAbsolutePath().normalize();
+
+    if (!Files.exists(dir) || !Files.isDirectory(dir)) {
+      throw new CustomApiException("NOT_FOUND_DATA", HttpStatus.NOT_FOUND, "디렉토리가 없습니다.");
+    }
+
+    if (!Files.isReadable(dir)) {
+      throw new CustomApiException("FORBIDDEN", HttpStatus.FORBIDDEN, "디렉토리 읽기 권한이 없습니다.");
+    }
+
+    try (Stream<Path> stream = Files.list(dir)) {
+
+      List<Path> files = stream.toList();
+
+      if (files.isEmpty()) {
+        throw new CustomApiException("NOT_FOUND_DATA", HttpStatus.NOT_FOUND, "파일이 없습니다.");
+      }
+
+      // ===== keep 파일 찾기 =====
+      Path keep =
+          files.stream()
+              .filter(
+                  p -> {
+                    String name = p.getFileName().toString();
+                    return name.endsWith(".zip") && name.contains(model.getUuid().toString());
+                  })
+              .findFirst()
+              .orElseThrow(
+                  () ->
+                      new CustomApiException(
+                          "NOT_FOUND_DATA", HttpStatus.NOT_FOUND, "zip 파일이 없습니다."));
+
+      log.info("유지 파일: {}", keep.getFileName());
+
+      // ===== 결과 세팅 =====
+      result.setTotalCount(files.size());
+      result.setKeptFile(keep.getFileName().toString());
+
+      // ===== 삭제 대상 =====
+      List<String> deleteTargets =
+          files.stream()
+              .filter(
+                  p -> !p.toAbsolutePath().normalize().equals(keep.toAbsolutePath().normalize()))
+              .map(p -> p.getFileName().toString())
+              .toList();
+
+      result.setDeleteTargets(deleteTargets);
+
+      log.info(
+          "previewCleanup 완료. total={}, deleteTargets={}",
+          result.getTotalCount(),
+          deleteTargets.size());
+
+      return result;
+
+    } catch (IOException e) {
+      log.error("파일 목록 조회 실패: {}", dir, e);
+      throw new CustomApiException(
+          "INTERNAL_SERVER_ERROR", HttpStatus.INTERNAL_SERVER_ERROR, "파일 목록 조회 실패");
+    }
+  }
+
+  public CleanupResult cleanup(UUID uuid) {
+    // ===== 모델 조회 =====
+    ModelTrainMngDto.Basic model = modelTrainDetailCoreService.findByModelByUUID(uuid);
+
+    if (model == null) {
+      throw new CustomApiException(
+          "NOT_FOUND_DATA", HttpStatus.NOT_FOUND, "모델을 찾을 수 없습니다. UUID: " + uuid);
+    }
+
+    if (!TrainStatusType.COMPLETED.getId().equals(model.getStep2Status())) {
+      throw new CustomApiException("CONFLICT", HttpStatus.CONFLICT, "테스트가 완료되지 않았습니다.");
+    }
+
+    // ===== 경로 =====
+    Path dir = Paths.get(responseDir, model.getUuid().toString()).toAbsolutePath().normalize();
+
+    return executeCleanup(model, dir);
+  }
+
+  /**
+   * 베스트 에폭 제외 파일 삭제, 베스트 에폭 zip 파일만 남김
+   *
+   * @param model model 정보
+   * @param dir response 폴더 경로
+   * @return 삭제 정보
+   */
+  public CleanupResult executeCleanup(ModelTrainMngDto.Basic model, Path dir) {
+    CleanupResult result = new CleanupResult();
+
+    if (!Files.exists(dir) || !Files.isDirectory(dir)) {
+      throw new CustomApiException("NOT_FOUND_DATA", HttpStatus.NOT_FOUND, "디렉토리가 없습니다.");
+    }
+
+    if (!Files.isReadable(dir)) {
+      throw new CustomApiException("FORBIDDEN", HttpStatus.FORBIDDEN, "디렉토리 읽기 권한이 없습니다.");
+    }
+
+    if (!Files.isWritable(dir)) {
+      throw new CustomApiException("FORBIDDEN", HttpStatus.FORBIDDEN, "디렉토리 삭제 권한이 없습니다.");
+    }
+
+    int bestEpoch = model.getBestEpoch();
+
+    if (bestEpoch <= 0) {
+      throw new CustomApiException(
+          "BAD_REQUEST", HttpStatus.BAD_REQUEST, "잘못된 bestEpoch 값 입니다. : " + bestEpoch);
+    }
+
+    log.info("cleanup 시작. dir={}, bestEpoch={}", dir, bestEpoch);
+
+    try (Stream<Path> stream = Files.list(dir)) {
+
+      List<Path> files = stream.toList();
+
+      if (files.isEmpty()) {
+        throw new CustomApiException("NOT_FOUND_DATA", HttpStatus.NOT_FOUND, "파일이 없습니다.");
+      }
+
+      // ===== keep 파일 찾기 =====
+      Path keep = null;
+
+      for (Path p : files) {
+        String name = p.getFileName().toString();
+        if (name.endsWith(".zip") && name.contains(model.getUuid().toString())) {
+          keep = p;
+          break;
+        }
+      }
+
+      if (keep == null) {
+        throw new CustomApiException("NOT_FOUND_DATA", HttpStatus.NOT_FOUND, "zip 파일이 없습니다.");
+      }
+
+      log.info("유지 파일: {}", keep.getFileName());
+
+      result.setTotalCount(files.size());
+      result.setKeptFile(keep.getFileName().toString());
+
+      int deletedCount = 0;
+      List<String> failed = new ArrayList<>();
+
+      // ===== 삭제 =====
+      for (Path p : files) {
+
+        if (p.equals(keep)) {
+          continue;
+        }
+
+        try {
+
+          // 심볼릭 링크 → 링크만 삭제
+          if (Files.isSymbolicLink(p)) {
+            Files.deleteIfExists(p);
+            log.info("심볼릭 링크 삭제: {}", p.getFileName());
+          }
+
+          // 디렉토리 → 재귀 삭제
+          else if (Files.isDirectory(p, LinkOption.NOFOLLOW_LINKS)) {
+            log.info("디렉토리 재귀 삭제: {}", p.getFileName());
+            deleteDirectory(p);
+          }
+
+          // 일반 파일
+          else {
+            Files.deleteIfExists(p);
+            log.info("파일 삭제: {}", p.getFileName());
+          }
+
+          deletedCount++;
+
+        } catch (AccessDeniedException e) {
+          failed.add(p.getFileName().toString());
+          log.error("권한 없음: {}", p.getFileName(), e);
+
+        } catch (IOException e) {
+          failed.add(p.getFileName().toString());
+          log.error("삭제 실패: {}", p.getFileName(), e);
+        }
+      }
+
+      result.setDeletedCount(deletedCount);
+      result.setFailedCount(failed.size());
+      result.setFailedFiles(failed);
+
+    } catch (IOException e) {
+      log.error("파일 목록 조회 실패: {}", dir, e);
+      throw new CustomApiException(
+          "INTERNAL_SERVER_ERROR", HttpStatus.INTERNAL_SERVER_ERROR, "파일 목록 조회 실패");
+    }
+
+    log.info(
+        "cleanup 완료. total={}, deleted={}, failed={}",
+        result.getTotalCount(),
+        result.getDeletedCount(),
+        result.getFailedCount());
+
+    return result;
+  }
+
+  // 디렉토리 재귀 삭제
+  private void deleteDirectory(Path dir) throws IOException {
+
+    if (!Files.exists(dir, LinkOption.NOFOLLOW_LINKS)) {
+      return;
+    }
+
+    // dir 자체가 심볼릭 링크면 링크만 삭제
+    if (Files.isSymbolicLink(dir)) {
+      Files.delete(dir);
+      return;
+    }
+
+    Files.walkFileTree(
+        dir,
+        EnumSet.noneOf(FileVisitOption.class), // NOFOLLOW_LINKS
+        Integer.MAX_VALUE,
+        new SimpleFileVisitor<>() {
+
+          @Override
+          public FileVisitResult visitFile(Path file, BasicFileAttributes attrs)
+              throws IOException {
+
+            Files.delete(file); // 링크면 링크만 삭제됨
+            return FileVisitResult.CONTINUE;
+          }
+
+          @Override
+          public FileVisitResult postVisitDirectory(Path directory, IOException exc)
+              throws IOException {
+
+            if (exc != null) throw exc;
+
+            Files.delete(directory);
+            return FileVisitResult.CONTINUE;
+          }
+        });
+  }
 }

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

@@ -2,6 +2,8 @@ package com.kamco.cd.training.model.service;
 
 import com.kamco.cd.training.common.dto.HyperParam;
 import com.kamco.cd.training.common.enums.HyperParamSelectType;
+import com.kamco.cd.training.common.enums.ModelType;
+import com.kamco.cd.training.common.enums.TrainStatusType;
 import com.kamco.cd.training.common.enums.TrainType;
 import com.kamco.cd.training.common.exception.CustomApiException;
 import com.kamco.cd.training.dataset.dto.DatasetDto.DatasetReq;
@@ -13,10 +15,21 @@ 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.FileVisitOption;
+import java.nio.file.FileVisitResult;
+import java.nio.file.Files;
+import java.nio.file.LinkOption;
+import java.nio.file.Path;
+import java.nio.file.Paths;
+import java.nio.file.SimpleFileVisitor;
+import java.nio.file.attribute.BasicFileAttributes;
+import java.util.EnumSet;
 import java.util.List;
 import java.util.UUID;
 import lombok.RequiredArgsConstructor;
 import lombok.extern.slf4j.Slf4j;
+import org.springframework.beans.factory.annotation.Value;
 import org.springframework.data.domain.Page;
 import org.springframework.http.HttpStatus;
 import org.springframework.stereotype.Service;
@@ -31,6 +44,13 @@ public class ModelTrainMngService {
   private final ModelTrainMngCoreService modelTrainMngCoreService;
   private final HyperParamCoreService hyperParamCoreService;
   private final TrainJobService trainJobService;
+  private final ModelTrainDetailService modelTrainDetailService;
+
+  @Value("${train.docker.basePath}")
+  private String basePath;
+
+  @Value("${train.docker.responseDir}")
+  private String responseDir;
 
   /**
    * 모델학습 조회
@@ -45,11 +65,195 @@ public class ModelTrainMngService {
   /**
    * 모델학습 삭제
    *
-   * @param uuid
+   * <p>순서: 1. tmp 구조 검증 (예외 발생 가능) 2. DB 삭제 (트랜잭션) 3. 파일 삭제 (실패해도 로그만)
    */
   @Transactional
   public void deleteModelTrain(UUID uuid) {
+
+    log.info("deleteModelTrain 시작. uuid={}", uuid);
+
+    // ===== 1. 모델 조회 =====
+    ModelTrainMngDto.Basic model = modelTrainMngCoreService.findModelByUuid(uuid);
+
+    if (model == null) {
+      throw new CustomApiException("NOT_FOUND", HttpStatus.NOT_FOUND, "모델 없음");
+    }
+
+    // ===== 2. 경로 생성 =====
+    Path tmpBase = Path.of(basePath, "tmp").toAbsolutePath().normalize();
+    Path tmp = tmpBase.resolve(model.getRequestPath()).normalize();
+
+    Path responseBase = Paths.get(responseDir).toAbsolutePath().normalize();
+    Path response = responseBase.resolve(model.getUuid().toString()).normalize();
+
+    // ===== 3. 경로 탈출 방지 =====
+    if (!tmp.startsWith(tmpBase)) {
+      throw new CustomApiException("INVALID_PATH", HttpStatus.BAD_REQUEST, "잘못된 tmp 경로");
+    }
+
+    if (!response.startsWith(responseBase)) {
+      throw new CustomApiException("INVALID_PATH", HttpStatus.BAD_REQUEST, "잘못된 response 경로");
+    }
+
+    // ===== 4. 상태 로그 =====
+    log.info(
+        "tmp 상태: exists={}, isDir={}, isSymlink={}",
+        Files.exists(tmp, LinkOption.NOFOLLOW_LINKS),
+        Files.isDirectory(tmp, LinkOption.NOFOLLOW_LINKS),
+        Files.isSymbolicLink(tmp));
+
+    log.info(
+        "response 상태: exists={}, isDir={}, isSymlink={}",
+        Files.exists(response, LinkOption.NOFOLLOW_LINKS),
+        Files.isDirectory(response, LinkOption.NOFOLLOW_LINKS),
+        Files.isSymbolicLink(response));
+
+    // ===== 5. tmp 구조 검증 =====
+    validateTmpStructure(tmp);
+
+    // ===== 6. DB 삭제 =====
     modelTrainMngCoreService.deleteModel(uuid);
+    log.info("DB 삭제 완료. uuid={}", uuid);
+
+    // ===== 7. tmp 삭제 =====
+    log.info("tmp 삭제 시작: {}", tmp);
+    try {
+      deleteTmpDirectory(tmp);
+      log.info("tmp 삭제 완료: {}", tmp);
+    } catch (Exception e) {
+      log.error("tmp 삭제 실패 (DB는 이미 삭제됨): {}", tmp, e);
+    }
+
+    // ===== 8. response 삭제 =====
+    log.info("response 삭제 시작: {}", response);
+    try {
+      // 테스트 완료되었으면 베스트 에폭은 삭제안함
+      if (TrainStatusType.COMPLETED.getId().equals(model.getStep2Status())) {
+        modelTrainDetailService.executeCleanup(model, response);
+      } else {
+        deleteResponseDirectory(response);
+      }
+
+      log.info("response 삭제 완료: {}", response);
+    } catch (Exception e) {
+      log.error("response 삭제 실패 (DB는 이미 삭제됨): {}", response, e);
+    }
+
+    log.info("deleteModelTrain 완료. uuid={}", uuid);
+  }
+
+  /** tmp 디렉토리 삭제 */
+  private void deleteTmpDirectory(Path dir) throws IOException {
+
+    if (!Files.exists(dir, LinkOption.NOFOLLOW_LINKS)) {
+      log.warn("삭제 대상 없음: {}", dir);
+      return;
+    }
+
+    Files.walkFileTree(
+        dir,
+        EnumSet.noneOf(FileVisitOption.class),
+        Integer.MAX_VALUE,
+        new SimpleFileVisitor<>() {
+
+          @Override
+          public FileVisitResult visitFile(Path file, BasicFileAttributes attrs)
+              throws IOException {
+
+            Files.delete(file);
+            return FileVisitResult.CONTINUE;
+          }
+
+          @Override
+          public FileVisitResult postVisitDirectory(Path directory, IOException exc)
+              throws IOException {
+
+            if (exc != null) {
+              throw exc;
+            }
+
+            Files.delete(directory);
+            return FileVisitResult.CONTINUE;
+          }
+        });
+  }
+
+  /** response 디렉토리 삭제 */
+  private void deleteResponseDirectory(Path dir) throws IOException {
+
+    if (!Files.exists(dir, LinkOption.NOFOLLOW_LINKS)) {
+      log.warn("삭제 대상 없음: {}", dir);
+      return;
+    }
+
+    Files.walkFileTree(
+        dir,
+        EnumSet.noneOf(FileVisitOption.class),
+        Integer.MAX_VALUE,
+        new SimpleFileVisitor<>() {
+
+          @Override
+          public FileVisitResult visitFile(Path file, BasicFileAttributes attrs)
+              throws IOException {
+
+            Files.delete(file);
+            return FileVisitResult.CONTINUE;
+          }
+
+          @Override
+          public FileVisitResult postVisitDirectory(Path directory, IOException exc)
+              throws IOException {
+
+            if (exc != null) {
+              throw exc;
+            }
+
+            Files.delete(directory);
+            return FileVisitResult.CONTINUE;
+          }
+        });
+  }
+
+  /** tmp 내부 구조 검증 - 내부는 반드시 symlink만 허용 */
+  private void validateTmpStructure(Path dir) {
+
+    if (!Files.exists(dir, LinkOption.NOFOLLOW_LINKS)) {
+      return;
+    }
+
+    try {
+      Files.walkFileTree(
+          dir,
+          EnumSet.noneOf(FileVisitOption.class),
+          Integer.MAX_VALUE,
+          new SimpleFileVisitor<>() {
+
+            @Override
+            public FileVisitResult visitFile(Path file, BasicFileAttributes attrs)
+                throws IOException {
+
+              // 파일은 전부 허용 (일반 + symlink)
+              return FileVisitResult.CONTINUE;
+            }
+
+            @Override
+            public FileVisitResult preVisitDirectory(Path directory, BasicFileAttributes attrs)
+                throws IOException {
+
+              // 루트 제외 + symlink 디렉토리 금지
+              if (!directory.equals(dir) && Files.isSymbolicLink(directory)) {
+                log.error("tmp 내부에 symlink 디렉토리 존재: {}", directory);
+                throw new CustomApiException(
+                    "BAD_REQUEST", HttpStatus.BAD_REQUEST, "tmp 내부에 symlink 디렉토리는 허용되지 않습니다.");
+              }
+
+              return FileVisitResult.CONTINUE;
+            }
+          });
+    } catch (IOException e) {
+      throw new CustomApiException(
+          "INTERNAL_SERVER_ERROR", HttpStatus.INTERNAL_SERVER_ERROR, "tmp 구조 검증 실패");
+    }
   }
 
   /**
@@ -93,7 +297,7 @@ public class ModelTrainMngService {
     // 모델 config 저장
     modelTrainMngCoreService.saveModelConfig(modelId, req.getModelConfig());
 
-    // 임시파일 생성
+    // 데이터셋 임시파일 생성
     trainJobService.createTmpFile(modelUuid);
     return modelUuid;
   }
@@ -115,7 +319,7 @@ public class ModelTrainMngService {
    * @return
    */
   public List<SelectDataSet> getDatasetSelectList(DatasetReq req) {
-    if (req.getModelNo().equals("G1")) {
+    if (req.getModelNo().equals(ModelType.G1.getId())) {
       return modelTrainMngCoreService.getDatasetSelectG1List(req);
     } else {
       return modelTrainMngCoreService.getDatasetSelectG2G3List(req);

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

@@ -1,6 +1,5 @@
 package com.kamco.cd.training.postgres.core;
 
-import com.fasterxml.jackson.databind.ObjectMapper;
 import com.kamco.cd.training.common.enums.LearnDataRegister;
 import com.kamco.cd.training.common.enums.LearnDataType;
 import com.kamco.cd.training.common.exception.NotFoundException;
@@ -30,9 +29,9 @@ import org.springframework.stereotype.Service;
 @Slf4j
 public class DatasetCoreService
     implements BaseCoreService<DatasetDto.Basic, Long, DatasetDto.SearchReq> {
+
   private final DatasetRepository datasetRepository;
   private final DatasetObjRepository datasetObjRepository;
-  private final ObjectMapper objectMapper;
 
   /**
    * 학습 데이터 삭제
@@ -96,6 +95,7 @@ public class DatasetCoreService
     return search(searchReq);
   }
 
+  // TODO 미사용시작
   /**
    * 학습데이터 등록
    *
@@ -130,6 +130,7 @@ public class DatasetCoreService
     return savedEntity.toDto();
   }
 
+  // TODO 미사용 끝
   /**
    * 학습 데이터 수정
    *
@@ -221,7 +222,6 @@ public class DatasetCoreService
     return datasetRepository.insertDatasetMngData(mngRegDto);
   }
 
-  @Transactional
   public void insertDatasetObj(DatasetObjRegDto objRegDto) {
     datasetObjRepository.insertDatasetObj(objRegDto);
   }
@@ -234,13 +234,20 @@ public class DatasetCoreService
     datasetObjRepository.insertDatasetTestObj(objRegDto);
   }
 
-  public void updateDatasetUploadStatus(Long datasetUid) {
+  /**
+   * 학습데이터셋 마스터 상태 변경
+   *
+   * @param datasetUid 학습데이터셋 마스터 id
+   * @param register 상태
+   */
+  @Transactional
+  public void updateDatasetUploadStatus(Long datasetUid, LearnDataRegister register) {
     DatasetEntity entity =
         datasetRepository
             .findById(datasetUid)
             .orElseThrow(() -> new NotFoundException("데이터셋을 찾을 수 없습니다. ID: " + datasetUid));
 
-    entity.setStatus(LearnDataRegister.COMPLETED.getId());
+    entity.setStatus(register.getId());
   }
 
   public void insertDatasetValObj(DatasetObjRegDto objRegDto) {
@@ -250,4 +257,15 @@ public class DatasetCoreService
   public Long findDatasetByUidExistsCnt(String uid) {
     return datasetRepository.findDatasetByUidExistsCnt(uid);
   }
+
+  /**
+   * 데이터셋 등록 실패시 Obj 데이터 정리
+   *
+   * @param datasetUid 모델 마스터 id
+   */
+  @Transactional
+  public void deleteAllDatasetObj(Long datasetUid) {
+    int cnt = datasetObjRepository.deleteAllDatasetObj(datasetUid);
+    log.info("datasetUid={} 데이터셋 실패 - 전체 삭제 완료. 총 {}건", datasetUid, cnt);
+  }
 }

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

@@ -34,7 +34,6 @@ public class HyperParamCoreService {
 
     ModelHyperParamEntity entity = new ModelHyperParamEntity();
     entity.setHyperVer(firstVersion);
-
     applyHyperParam(entity, createReq);
 
     // user
@@ -104,7 +103,7 @@ public class HyperParamCoreService {
    */
   public HyperParamDto.Basic getInitHyperParam(ModelType model) {
     ModelHyperParamEntity entity =
-        hyperParamRepository.getHyperparamByType(model).stream()
+        hyperParamRepository.getHyperParamByType(model).stream()
             .filter(e -> e.getIsDefault() == Boolean.TRUE)
             .findFirst()
             .orElseThrow(() -> new CustomApiException("NOT_FOUND_DATA", HttpStatus.NOT_FOUND));
@@ -172,7 +171,7 @@ public class HyperParamCoreService {
     } else {
       entity.setCropSize("256,256");
     }
-    //    entity.setCropSize(src.getCropSize());
+    entity.setCropSize(src.getCropSize());
 
     // Important
     entity.setModelType(model); // 20250212 modeltype추가

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

@@ -1,3 +1,4 @@
+// TODO 미사용시작
 package com.kamco.cd.training.postgres.core;
 
 import com.kamco.cd.training.common.exception.NotFoundException;
@@ -70,3 +71,4 @@ public class MapSheetCoreService
     }
   }
 }
+// TODO 미사용 끝

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

@@ -38,10 +38,12 @@ public class ModelTestMetricsJobCoreService {
     return modelTestMetricsJobRepository.findModelTestFileNames(modelId);
   }
 
+  @Transactional
   public void updatePackingStart(Long modelId, ZonedDateTime now) {
     modelTestMetricsJobRepository.updatePackingStart(modelId, now);
   }
 
+  @Transactional
   public void updatePackingEnd(Long modelId, ZonedDateTime now, String failSuccState) {
     modelTestMetricsJobRepository.updatePackingEnd(modelId, now, failSuccState);
   }

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

@@ -57,14 +57,23 @@ public class ModelTrainDetailCoreService {
     return modelDetailRepository.getModelDetailSummary(uuid);
   }
 
+  /**
+   * 하이퍼 파리미터 요약정보
+   *
+   * @param uuid 모델마스터 uuid
+   * @return
+   */
   public HyperSummary getByModelHyperParamSummary(UUID uuid) {
     return modelDetailRepository.getByModelHyperParamSummary(uuid);
   }
 
+  // TODO 미사용시작
   public TransferHyperSummary getTransferHyperSummary(UUID uuid) {
     return modelDetailRepository.getByModelTransferHyperParamSummary(uuid);
   }
 
+  // TODO 미사용 끝
+
   public List<MappingDataset> getByModelMappingDataset(UUID uuid) {
     return modelDetailRepository.getByModelMappingDataset(uuid);
   }
@@ -74,6 +83,7 @@ public class ModelTrainDetailCoreService {
     return entity.toDto();
   }
 
+  // TODO 미사용시작
   /**
    * 모델 학습별 config 정보 조회
    *
@@ -84,6 +94,7 @@ public class ModelTrainDetailCoreService {
     return modelConfigRepository.findModelConfigByModelId(modelId).orElse(null);
   }
 
+  // TODO 미사용 끝
   public List<ModelTrainMetrics> getModelTrainMetricResult(UUID uuid) {
     return modelDetailRepository.getModelTrainMetricResult(uuid);
   }
@@ -107,4 +118,9 @@ public class ModelTrainDetailCoreService {
   public List<ModelProgressStepDto> findModelTrainProgressInfo(UUID uuid) {
     return modelDetailRepository.findModelTrainProgressInfo(uuid);
   }
+
+  public Basic findByModelBeforeId(Long beforeModelId) {
+    ModelMasterEntity entity = modelDetailRepository.findByModelBeforeId(beforeModelId);
+    return entity.toDto();
+  }
 }

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

@@ -1,14 +1,18 @@
 package com.kamco.cd.training.postgres.core;
 
+import com.kamco.cd.training.common.exception.CustomApiException;
 import com.kamco.cd.training.postgres.entity.ModelTrainJobEntity;
 import com.kamco.cd.training.postgres.repository.train.ModelTrainJobRepository;
 import com.kamco.cd.training.train.dto.ModelTrainJobDto;
 import java.time.ZonedDateTime;
+import java.util.Collections;
+import java.util.List;
 import java.util.Map;
 import java.util.Objects;
 import java.util.Optional;
 import lombok.RequiredArgsConstructor;
 import lombok.extern.log4j.Log4j2;
+import org.springframework.http.HttpStatus;
 import org.springframework.stereotype.Service;
 import org.springframework.transaction.annotation.Transactional;
 
@@ -52,11 +56,16 @@ public class ModelTrainJobCoreService {
   /** 실행 시작 처리 */
   @Transactional
   public void markRunning(
-      Long jobId, String containerName, String logPath, String lockedBy, Integer totalEpoch) {
+      Long jobId,
+      String containerName,
+      String logPath,
+      String lockedBy,
+      Integer totalEpoch,
+      String jobType) {
     ModelTrainJobEntity job =
         modelTrainJobRepository
             .findById(jobId)
-            .orElseThrow(() -> new IllegalArgumentException("Job not found: " + jobId));
+            .orElseThrow(() -> new CustomApiException("NOT_FOUND_DATA", HttpStatus.NOT_FOUND));
 
     job.setStatusCd("RUNNING");
     job.setContainerName(containerName);
@@ -64,32 +73,44 @@ public class ModelTrainJobCoreService {
     job.setStartedDttm(ZonedDateTime.now());
     job.setLockedDttm(ZonedDateTime.now());
     job.setLockedBy(lockedBy);
+    job.setJobType(jobType);
 
     if (totalEpoch != null) {
       job.setTotalEpoch(totalEpoch);
     }
   }
 
-  /** 성공 처리 */
+  /**
+   * 성공 처리
+   *
+   * @param jobId
+   * @param exitCode
+   */
   @Transactional
   public void markSuccess(Long jobId, int exitCode) {
     ModelTrainJobEntity job =
         modelTrainJobRepository
             .findById(jobId)
-            .orElseThrow(() -> new IllegalArgumentException("Job not found: " + jobId));
+            .orElseThrow(() -> new CustomApiException("NOT_FOUND_DATA", HttpStatus.NOT_FOUND));
 
     job.setStatusCd("SUCCESS");
     job.setExitCode(exitCode);
     job.setFinishedDttm(ZonedDateTime.now());
   }
 
-  /** 실패 처리 */
+  /**
+   * 실패 처리
+   *
+   * @param jobId
+   * @param exitCode
+   * @param errorMessage
+   */
   @Transactional
   public void markFailed(Long jobId, Integer exitCode, String errorMessage) {
     ModelTrainJobEntity job =
         modelTrainJobRepository
             .findById(jobId)
-            .orElseThrow(() -> new IllegalArgumentException("Job not found: " + jobId));
+            .orElseThrow(() -> new CustomApiException("NOT_FOUND_DATA", HttpStatus.NOT_FOUND));
 
     job.setStatusCd("FAILED");
     job.setExitCode(exitCode);
@@ -99,13 +120,35 @@ public class ModelTrainJobCoreService {
     log.info("[TRAIN JOB FAIL] jobId={}, modelId={}", jobId, errorMessage);
   }
 
+  /**
+   * 중단됨 처리
+   *
+   * @param jobId
+   * @param exitCode
+   * @param errorMessage
+   */
+  @Transactional
+  public void markPaused(Long jobId, Integer exitCode, String errorMessage) {
+    ModelTrainJobEntity job =
+        modelTrainJobRepository
+            .findById(jobId)
+            .orElseThrow(() -> new CustomApiException("NOT_FOUND_DATA", HttpStatus.NOT_FOUND));
+
+    job.setStatusCd("STOPPED");
+    job.setExitCode(exitCode);
+    job.setErrorMessage(errorMessage);
+    job.setFinishedDttm(ZonedDateTime.now());
+
+    log.info("[TRAIN JOB FAIL] jobId={}, modelId={}", jobId, errorMessage);
+  }
+
   /** 취소 처리 */
   @Transactional
   public void markCanceled(Long jobId) {
     ModelTrainJobEntity job =
         modelTrainJobRepository
             .findById(jobId)
-            .orElseThrow(() -> new IllegalArgumentException("Job not found: " + jobId));
+            .orElseThrow(() -> new CustomApiException("NOT_FOUND_DATA", HttpStatus.NOT_FOUND));
 
     job.setStatusCd("STOPPED");
     job.setFinishedDttm(ZonedDateTime.now());
@@ -116,10 +159,29 @@ public class ModelTrainJobCoreService {
     ModelTrainJobEntity job =
         modelTrainJobRepository
             .findByContainerName(containerName)
-            .orElseThrow(() -> new IllegalArgumentException("Job not found: " + containerName));
+            .orElseThrow(() -> new CustomApiException("NOT_FOUND_DATA", HttpStatus.NOT_FOUND));
 
     job.setCurrentEpoch(epoch);
 
     if (Objects.equals(job.getTotalEpoch(), epoch)) {}
   }
+
+  public void insertModelTestTrainingRun(Long modelId, Long jobId, int epoch) {
+    modelTrainJobRepository.insertModelTestTrainingRun(modelId, jobId, epoch);
+  }
+
+  /**
+   * 실행중인 학습이 있는지 조회
+   *
+   * @return
+   */
+  public List<ModelTrainJobDto> findRunningJobs() {
+    List<ModelTrainJobEntity> entity = modelTrainJobRepository.findRunningJobs();
+
+    if (entity == null || entity.isEmpty()) {
+      return Collections.emptyList();
+    }
+
+    return entity.stream().map(ModelTrainJobEntity::toDto).toList();
+  }
 }

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

@@ -8,6 +8,7 @@ import com.kamco.cd.training.common.exception.CustomApiException;
 import com.kamco.cd.training.common.utils.UserUtil;
 import com.kamco.cd.training.dataset.dto.DatasetDto.DatasetReq;
 import com.kamco.cd.training.dataset.dto.DatasetDto.SelectDataSet;
+import com.kamco.cd.training.dataset.dto.DatasetDto.SelectTransferDataSet;
 import com.kamco.cd.training.model.dto.ModelConfigDto;
 import com.kamco.cd.training.model.dto.ModelTrainMngDto;
 import com.kamco.cd.training.model.dto.ModelTrainMngDto.ListDto;
@@ -23,6 +24,7 @@ import com.kamco.cd.training.postgres.repository.model.ModelConfigRepository;
 import com.kamco.cd.training.postgres.repository.model.ModelDatasetMappRepository;
 import com.kamco.cd.training.postgres.repository.model.ModelDatasetRepository;
 import com.kamco.cd.training.postgres.repository.model.ModelMngRepository;
+import com.kamco.cd.training.train.dto.ModelTrainLinkDto;
 import com.kamco.cd.training.train.dto.TrainRunRequest;
 import java.time.ZonedDateTime;
 import java.util.ArrayList;
@@ -88,7 +90,7 @@ public class ModelTrainMngCoreService {
     if (HyperParamSelectType.OPTIMIZED.getId().equals(addReq.getHyperParamType())) {
       ModelType modelType = ModelType.getValueData(addReq.getModelNo());
       hyperParamEntity =
-          hyperParamRepository.getHyperparamByType(modelType).stream()
+          hyperParamRepository.getHyperParamByType(modelType).stream()
               .filter(e -> e.getIsDefault() == Boolean.TRUE)
               .findFirst()
               .orElse(null);
@@ -102,6 +104,12 @@ public class ModelTrainMngCoreService {
     if (hyperParamEntity == null || hyperParamEntity.getHyperVer() == null) {
       throw new CustomApiException("NOT_FOUND_DATA", HttpStatus.NOT_FOUND);
     }
+    // 하이퍼 파라미터 사용 횟수 업데이트
+    hyperParamEntity.setTotalUseCnt(
+        hyperParamEntity.getTotalUseCnt() == null ? 1 : hyperParamEntity.getTotalUseCnt() + 1);
+
+    // 최근 사용일시 업데이트
+    hyperParamEntity.setLastUsedDttm(ZonedDateTime.now());
 
     String modelVer =
         String.join(
@@ -211,6 +219,7 @@ public class ModelTrainMngCoreService {
     modelConfigRepository.save(entity);
   }
 
+  // TODO 미사용시작
   /**
    * 데이터셋 매핑 생성
    *
@@ -227,6 +236,8 @@ public class ModelTrainMngCoreService {
     }
   }
 
+  // TODO 미사용 끝
+
   /**
    * UUID로 모델 조회
    *
@@ -270,6 +281,16 @@ public class ModelTrainMngCoreService {
         .orElseThrow(() -> new CustomApiException("NOT_FOUND_DATA", HttpStatus.NOT_FOUND));
   }
 
+  // TODO 미사용시작
+  public ModelConfigDto.TransferBasic findModelTransferConfigByModelId(UUID uuid) {
+    ModelMasterEntity modelEntity = findByUuid(uuid);
+    return modelConfigRepository
+        .findModelTransferConfigByModelId(modelEntity.getId())
+        .orElseThrow(() -> new CustomApiException("NOT_FOUND_DATA", HttpStatus.NOT_FOUND));
+  }
+
+  // TODO 미사용 끝
+
   /**
    * 데이터셋 G1 목록
    *
@@ -280,6 +301,19 @@ public class ModelTrainMngCoreService {
     return datasetRepository.getDatasetSelectG1List(req);
   }
 
+  // TODO 미사용시작
+  /**
+   * 전이학습 데이터셋 G1 목록
+   *
+   * @param modelId 모델 Id
+   * @return
+   */
+  public List<SelectTransferDataSet> getDatasetTransferSelectG1List(Long modelId) {
+    return datasetRepository.getDatasetTransferSelectG1List(modelId);
+  }
+
+  // TODO 미사용 끝
+
   /**
    * 데이터셋 G2, G3 목록
    *
@@ -290,6 +324,21 @@ public class ModelTrainMngCoreService {
     return datasetRepository.getDatasetSelectG2G3List(req);
   }
 
+  // TODO 미사용시작
+  /**
+   * 전이학습 데이터셋 G2, G3 목록
+   *
+   * @param modelId 모델 Id
+   * @param modelNo G2, G3
+   * @return
+   */
+  public List<SelectTransferDataSet> getDatasetTransferSelectG2G3List(
+      Long modelId, String modelNo) {
+    return datasetRepository.getDatasetTransferSelectG2G3List(modelId, modelNo);
+  }
+
+  // TODO 미사용 끝
+
   /**
    * 모델관리 조회
    *
@@ -304,6 +353,20 @@ public class ModelTrainMngCoreService {
     return entity.toDto();
   }
 
+  /**
+   * 모델관리 조회
+   *
+   * @param uuid
+   * @return
+   */
+  public ModelTrainMngDto.Basic findModelByUuid(UUID uuid) {
+    ModelMasterEntity entity =
+        modelMngRepository
+            .findByUuid(uuid)
+            .orElseThrow(() -> new IllegalArgumentException("Model not found: " + uuid));
+    return entity.toDto();
+  }
+
   /** 마스터를 IN_PROGRESS로 전환하고, 현재 실행 jobId를 연결 - UI/중단/상태조회 모두 currentAttemptId를 기준으로 동작 */
   @Transactional
   public void markInProgress(Long modelId, Long jobId) {
@@ -353,7 +416,12 @@ public class ModelTrainMngCoreService {
     master.setStatusCd(TrainStatusType.COMPLETED.getId());
   }
 
-  /** step 1오류 처리(옵션) - Worker가 실패 시 호출 */
+  /**
+   * step 1오류 처리(옵션) - Worker가 실패 시 호출
+   *
+   * @param modelId
+   * @param errorMessage
+   */
   @Transactional
   public void markError(Long modelId, String errorMessage) {
     ModelMasterEntity master =
@@ -368,7 +436,12 @@ public class ModelTrainMngCoreService {
     master.setUpdatedDttm(ZonedDateTime.now());
   }
 
-  /** step 2오류 처리(옵션) - Worker가 실패 시 호출 */
+  /**
+   * step 2오류 처리(옵션) - Worker가 실패 시 호출
+   *
+   * @param modelId
+   * @param errorMessage
+   */
   @Transactional
   public void markStep2Error(Long modelId, String errorMessage) {
     ModelMasterEntity master =
@@ -383,6 +456,44 @@ public class ModelTrainMngCoreService {
     master.setUpdatedDttm(ZonedDateTime.now());
   }
 
+  /**
+   * step1 정지 처리
+   *
+   * @param modelId
+   * @param errorMessage
+   */
+  public void markStep1Stop(Long modelId, String errorMessage) {
+    ModelMasterEntity master =
+        modelMngRepository
+            .findById(modelId)
+            .orElseThrow(() -> new IllegalArgumentException("Model not found: " + modelId));
+
+    master.setStatusCd(TrainStatusType.STOPPED.getId());
+    master.setStep1State(TrainStatusType.STOPPED.getId());
+    master.setLastError(errorMessage);
+    master.setUpdatedUid(userUtil.getId());
+    master.setUpdatedDttm(ZonedDateTime.now());
+  }
+
+  /**
+   * step2 정지 처리
+   *
+   * @param modelId
+   * @param errorMessage
+   */
+  public void markStep2Stop(Long modelId, String errorMessage) {
+    ModelMasterEntity master =
+        modelMngRepository
+            .findById(modelId)
+            .orElseThrow(() -> new IllegalArgumentException("Model not found: " + modelId));
+
+    master.setStatusCd(TrainStatusType.STOPPED.getId());
+    master.setStep2State(TrainStatusType.STOPPED.getId());
+    master.setLastError(errorMessage);
+    master.setUpdatedUid(userUtil.getId());
+    master.setUpdatedDttm(ZonedDateTime.now());
+  }
+
   @Transactional
   public void markSuccess(Long modelId) {
     ModelMasterEntity master =
@@ -519,4 +630,34 @@ public class ModelTrainMngCoreService {
   public Long findModelStep1InProgressCnt() {
     return modelMngRepository.findModelStep1InProgressCnt();
   }
+
+  /**
+   * train 링크할 파일 경로
+   *
+   * @param modelId
+   * @return
+   */
+  public List<ModelTrainLinkDto> findDatasetTrainPath(Long modelId) {
+    return modelDatasetMapRepository.findDatasetTrainPath(modelId);
+  }
+
+  /**
+   * validation 링크할 파일 경로
+   *
+   * @param modelId
+   * @return
+   */
+  public List<ModelTrainLinkDto> findDatasetValPath(Long modelId) {
+    return modelDatasetMapRepository.findDatasetValPath(modelId);
+  }
+
+  /**
+   * test 링크할 파일 경로
+   *
+   * @param modelId
+   * @return
+   */
+  public List<ModelTrainLinkDto> findDatasetTestPath(Long modelId) {
+    return modelDatasetMapRepository.findDatasetTestPath(modelId);
+  }
 }

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

@@ -1,3 +1,4 @@
+// TODO 미사용시작
 package com.kamco.cd.training.postgres.core;
 
 import com.kamco.cd.training.postgres.entity.SystemMetricsEntity;
@@ -64,3 +65,4 @@ public class SystemMetricsCoreService {
     return isAvailable;
   }
 }
+// TODO 미사용 끝

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

@@ -117,10 +117,12 @@ public class DatasetEntity {
   @Column(name = "dataset_path", length = 1000)
   private String datasetPath;
 
+  // TODO 미사용시작
   @Column(name = "class_counts")
   @JdbcTypeCode(SqlTypes.JSON)
   private Map<String, Integer> classCounts;
 
+  // TODO 미사용 끝
   @Size(max = 32)
   @Column(name = "uid")
   private String uid;

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

@@ -1,3 +1,4 @@
+// TODO 미사용시작
 package com.kamco.cd.training.postgres.entity;
 
 import com.kamco.cd.training.dataset.dto.MapSheetDto;
@@ -103,3 +104,4 @@ public class MapSheetEntity {
     return dto;
   }
 }
+// TODO 미사용 끝

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

@@ -32,10 +32,13 @@ public class ModelDatasetMappEntity {
   @Column(name = "dataset_uid", nullable = false)
   private Long datasetUid;
 
+  // TODO 미사용시작
   @Size(max = 20)
   @Column(name = "dataset_type", length = 20)
   private String datasetType;
 
+  // TODO 미사용 끝
+
   @Getter
   @Setter
   @NoArgsConstructor

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

@@ -192,10 +192,10 @@ public class ModelHyperParamEntity {
   @Column(name = "save_best_rule", nullable = false, length = 10)
   private String saveBestRule = "greater";
 
-  /** Default: 10 */
+  /** Default: 1 */
   @NotNull
   @Column(name = "val_interval", nullable = false)
-  private Integer valInterval = 10;
+  private Integer valInterval = 1;
 
   /** Default: 400 */
   @NotNull
@@ -303,15 +303,6 @@ public class ModelHyperParamEntity {
   @Column(name = "last_used_dttm")
   private ZonedDateTime lastUsedDttm;
 
-  @Column(name = "m1_use_cnt")
-  private Long m1UseCnt = 0L;
-
-  @Column(name = "m2_use_cnt")
-  private Long m2UseCnt = 0L;
-
-  @Column(name = "m3_use_cnt")
-  private Long m3UseCnt = 0L;
-
   @Column(name = "model_type")
   @Enumerated(EnumType.STRING)
   private ModelType modelType;
@@ -319,12 +310,17 @@ public class ModelHyperParamEntity {
   @Column(name = "default_param")
   private Boolean isDefault = false;
 
+  @Column(name = "total_use_cnt")
+  private Integer totalUseCnt = 0;
+
   public HyperParamDto.Basic toDto() {
     return new HyperParamDto.Basic(
         this.modelType,
         this.uuid,
         this.hyperVer,
         this.createdDttm,
+        this.lastUsedDttm,
+        this.totalUseCnt,
         // -------------------------
         // Important
         // -------------------------

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

@@ -140,6 +140,8 @@ public class ModelMasterEntity {
         this.requestPath,
         this.packingState,
         this.packingStrtDttm,
-        this.packingEndDttm);
+        this.packingEndDttm,
+        this.beforeModelId,
+        this.bestEpoch);
   }
 }

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

@@ -1,3 +1,4 @@
+// TODO 미사용시작
 package com.kamco.cd.training.postgres.entity;
 
 import jakarta.persistence.Column;
@@ -92,3 +93,4 @@ public class ModelMngEntity {
     return this.uuid != null ? this.uuid.toString() : null;
   }
 }
+// TODO 미사용 끝

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

@@ -0,0 +1,42 @@
+package com.kamco.cd.training.postgres.entity;
+
+import jakarta.persistence.Column;
+import jakarta.persistence.Entity;
+import jakarta.persistence.GeneratedValue;
+import jakarta.persistence.GenerationType;
+import jakarta.persistence.Id;
+import jakarta.persistence.Table;
+import jakarta.validation.constraints.NotNull;
+import java.time.OffsetDateTime;
+import lombok.Getter;
+import lombok.Setter;
+import org.hibernate.annotations.ColumnDefault;
+
+@Getter
+@Setter
+@Entity
+@Table(name = "tb_model_test_training_run")
+public class ModelTestTrainingRunEntity {
+
+  @Id
+  @GeneratedValue(strategy = GenerationType.IDENTITY)
+  @Column(name = "tsr_id", nullable = false)
+  private Long id;
+
+  @NotNull
+  @Column(name = "model_id", nullable = false)
+  private Long modelId;
+
+  @Column(name = "attempt_no")
+  private Integer attemptNo;
+
+  @Column(name = "job_id")
+  private Long jobId;
+
+  @Column(name = "epoch")
+  private Integer epoch;
+
+  @ColumnDefault("now()")
+  @Column(name = "created_dttm")
+  private OffsetDateTime createdDttm;
+}

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

@@ -83,6 +83,9 @@ public class ModelTrainJobEntity {
   @Column(name = "current_epoch")
   private Integer currentEpoch;
 
+  @Column(name = "job_type")
+  private String jobType;
+
   public ModelTrainJobDto toDto() {
     return new ModelTrainJobDto(
         this.id,

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

@@ -1,3 +1,4 @@
+// TODO 미사용시작
 package com.kamco.cd.training.postgres.entity;
 
 import jakarta.persistence.Column;
@@ -53,3 +54,4 @@ public class SystemMetricsEntity {
   @Column(name = "memused")
   private Float memused;
 }
+// TODO 미사용 끝

src/main/java/com/kamco/cd/training/postgres/repository/SystemMetricsRepository.java

@@ -1,3 +1,4 @@
+// TODO 미사용시작
 package com.kamco.cd.training.postgres.repository;
 
 import com.kamco.cd.training.postgres.entity.SystemMetricsEntity;
@@ -17,3 +18,4 @@ public interface SystemMetricsRepository extends JpaRepository<SystemMetricsEnti
   @Query("SELECT s FROM SystemMetricsEntity s ORDER BY s.timestamp DESC LIMIT 1")
   Optional<SystemMetricsEntity> findLatestMetrics();
 }
+// TODO 미사용 끝

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

@@ -24,4 +24,12 @@ public interface DatasetObjRepositoryCustom {
   void insertDatasetTestObj(DatasetObjRegDto objRegDto);
 
   void insertDatasetValObj(DatasetObjRegDto objRegDto);
+
+  /**
+   * 데이터셋 등록 실패시 Obj 데이터 정리
+   *
+   * @param datasetUid
+   * @return
+   */
+  int deleteAllDatasetObj(Long datasetUid);
 }

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

@@ -40,6 +40,7 @@ public class DatasetObjRepositoryImpl implements DatasetObjRepositoryCustom {
 
   private final JPAQueryFactory queryFactory;
   private final QDatasetEntity dataset = datasetEntity;
+  private final ObjectMapper objectMapper = new ObjectMapper();
 
   @PersistenceContext EntityManager em;
 
@@ -55,7 +56,6 @@ public class DatasetObjRepositoryImpl implements DatasetObjRepositoryCustom {
 
   @Override
   public void insertDatasetTestObj(DatasetObjRegDto objRegDto) {
-    ObjectMapper objectMapper = new ObjectMapper();
     String json;
     Geometry geometry;
     String geometryJson;
@@ -99,7 +99,6 @@ public class DatasetObjRepositoryImpl implements DatasetObjRepositoryCustom {
 
   @Override
   public void insertDatasetValObj(DatasetObjRegDto objRegDto) {
-    ObjectMapper objectMapper = new ObjectMapper();
     String json;
     String geometryJson;
     try {
@@ -219,7 +218,6 @@ public class DatasetObjRepositoryImpl implements DatasetObjRepositoryCustom {
 
   @Override
   public void insertDatasetObj(DatasetObjRegDto objRegDto) {
-    ObjectMapper objectMapper = new ObjectMapper();
     String json;
     String geometryJson;
     try {
@@ -276,4 +274,38 @@ public class DatasetObjRepositoryImpl implements DatasetObjRepositoryCustom {
         .where(datasetObjEntity.uuid.eq(uuid))
         .fetchOne();
   }
+
+  @Override
+  public int deleteAllDatasetObj(Long datasetUid) {
+    int cnt = 0;
+    cnt =
+        em.createNativeQuery(
+                """
+        delete from tb_dataset_obj
+        where dataset_uid = ?
+    """)
+            .setParameter(1, datasetUid)
+            .executeUpdate();
+
+    cnt +=
+        em.createNativeQuery(
+                """
+        delete from tb_dataset_val_obj
+        where dataset_uid = ?
+    """)
+            .setParameter(1, datasetUid)
+            .executeUpdate();
+
+    cnt +=
+        em.createNativeQuery(
+                """
+        delete from tb_dataset_test_obj
+        where dataset_uid = ?
+    """)
+            .setParameter(1, datasetUid)
+            .executeUpdate();
+
+    em.clear();
+    return cnt;
+  }
 }

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

@@ -6,6 +6,7 @@ import org.springframework.data.jpa.repository.JpaRepository;
 
 public interface DatasetRepository
     extends JpaRepository<DatasetEntity, Long>, DatasetRepositoryCustom {
-
+  // TODO 미사용시작
   List<DatasetEntity> findByDeletedOrderByCreatedDttmDesc(Boolean deleted);
+  // TODO 미사용 끝
 }

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

@@ -4,6 +4,7 @@ import com.kamco.cd.training.dataset.dto.DatasetDto;
 import com.kamco.cd.training.dataset.dto.DatasetDto.DatasetMngRegDto;
 import com.kamco.cd.training.dataset.dto.DatasetDto.DatasetReq;
 import com.kamco.cd.training.dataset.dto.DatasetDto.SelectDataSet;
+import com.kamco.cd.training.dataset.dto.DatasetDto.SelectTransferDataSet;
 import com.kamco.cd.training.postgres.entity.DatasetEntity;
 import java.util.List;
 import java.util.Optional;
@@ -17,6 +18,13 @@ public interface DatasetRepositoryCustom {
 
   List<SelectDataSet> getDatasetSelectG1List(DatasetReq req);
 
+  // TODO 미사용시작
+  public List<SelectTransferDataSet> getDatasetTransferSelectG1List(Long modelId);
+
+  public List<SelectTransferDataSet> getDatasetTransferSelectG2G3List(Long modelId, String modelNo);
+
+  // TODO 미사용 끝
+
   List<SelectDataSet> getDatasetSelectG2G3List(DatasetReq req);
 
   Long getDatasetMaxStage(int compareYyyy, int targetYyyy);

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

@@ -1,14 +1,20 @@
 package com.kamco.cd.training.postgres.repository.dataset;
 
 import static com.kamco.cd.training.postgres.entity.QDatasetObjEntity.datasetObjEntity;
+import static com.kamco.cd.training.postgres.entity.QModelDatasetMappEntity.modelDatasetMappEntity;
+import static com.kamco.cd.training.postgres.entity.QModelMasterEntity.modelMasterEntity;
 
 import com.kamco.cd.training.common.enums.ModelType;
 import com.kamco.cd.training.dataset.dto.DatasetDto.DatasetMngRegDto;
 import com.kamco.cd.training.dataset.dto.DatasetDto.DatasetReq;
 import com.kamco.cd.training.dataset.dto.DatasetDto.SearchReq;
 import com.kamco.cd.training.dataset.dto.DatasetDto.SelectDataSet;
+import com.kamco.cd.training.dataset.dto.DatasetDto.SelectTransferDataSet;
 import com.kamco.cd.training.postgres.entity.DatasetEntity;
 import com.kamco.cd.training.postgres.entity.QDatasetEntity;
+import com.kamco.cd.training.postgres.entity.QDatasetObjEntity;
+import com.kamco.cd.training.postgres.entity.QModelDatasetMappEntity;
+import com.kamco.cd.training.postgres.entity.QModelMasterEntity;
 import com.querydsl.core.BooleanBuilder;
 import com.querydsl.core.types.Projections;
 import com.querydsl.core.types.dsl.CaseBuilder;
@@ -92,6 +98,8 @@ public class DatasetRepositoryImpl implements DatasetRepositoryCustom {
 
     BooleanBuilder builder = new BooleanBuilder();
 
+    builder.and(dataset.deleted.isFalse());
+
     if (StringUtils.isNotBlank(req.getDataType()) && !"CURRENT".equals(req.getDataType())) {
       builder.and(dataset.dataType.eq(req.getDataType()));
     }
@@ -142,10 +150,110 @@ public class DatasetRepositoryImpl implements DatasetRepositoryCustom {
         .fetch();
   }
 
+  // TODO 미사용시작
+  @Override
+  public List<SelectTransferDataSet> getDatasetTransferSelectG1List(Long modelId) {
+
+    QModelMasterEntity beforeMaster = new QModelMasterEntity("beforeMaster");
+    QModelDatasetMappEntity beforeMapp = new QModelDatasetMappEntity("beforeMapp");
+    QDatasetEntity beforeDataset = new QDatasetEntity("beforeDataset");
+    QDatasetObjEntity beforeObj = new QDatasetObjEntity("beforeObj");
+
+    return queryFactory
+        .select(
+            Projections.constructor(
+                SelectTransferDataSet.class,
+
+                // ===== 현재 =====
+                modelMasterEntity.modelNo,
+                dataset.id,
+                dataset.uuid,
+                dataset.dataType,
+                dataset.title,
+                dataset.roundNo,
+                dataset.compareYyyy,
+                dataset.targetYyyy,
+                dataset.memo,
+                new CaseBuilder()
+                    .when(datasetObjEntity.targetClassCd.eq("building"))
+                    .then(1)
+                    .otherwise(0)
+                    .sum(),
+                new CaseBuilder()
+                    .when(datasetObjEntity.targetClassCd.eq("container"))
+                    .then(1)
+                    .otherwise(0)
+                    .sum(),
+
+                // ===== before (join으로) =====
+                beforeMaster.modelNo,
+                beforeDataset.id,
+                beforeDataset.uuid,
+                beforeDataset.dataType,
+                beforeDataset.title,
+                beforeDataset.roundNo,
+                beforeDataset.compareYyyy,
+                beforeDataset.targetYyyy,
+                beforeDataset.memo,
+                new CaseBuilder()
+                    .when(beforeObj.targetClassCd.eq("building"))
+                    .then(1)
+                    .otherwise(0)
+                    .sum(),
+                new CaseBuilder()
+                    .when(beforeObj.targetClassCd.eq("container"))
+                    .then(1)
+                    .otherwise(0)
+                    .sum()))
+        .from(modelMasterEntity)
+
+        // ===== 현재 dataset join =====
+        .leftJoin(modelDatasetMappEntity)
+        .on(modelDatasetMappEntity.modelUid.eq(modelMasterEntity.id))
+        .leftJoin(dataset)
+        .on(modelDatasetMappEntity.datasetUid.eq(dataset.id))
+        .leftJoin(datasetObjEntity)
+        .on(dataset.id.eq(datasetObjEntity.datasetUid))
+
+        // ===== before 모델 join =====
+        .leftJoin(beforeMaster)
+        .on(beforeMaster.id.eq(modelMasterEntity.beforeModelId))
+        .leftJoin(beforeMapp)
+        .on(beforeMapp.modelUid.eq(beforeMaster.id))
+        .leftJoin(beforeDataset)
+        .on(beforeMapp.datasetUid.eq(beforeDataset.id))
+        .leftJoin(beforeObj)
+        .on(beforeDataset.id.eq(beforeObj.datasetUid))
+        .where(modelMasterEntity.id.eq(modelId))
+        .groupBy(
+            modelMasterEntity.modelNo,
+            dataset.id,
+            dataset.uuid,
+            dataset.dataType,
+            dataset.title,
+            dataset.roundNo,
+            dataset.compareYyyy,
+            dataset.targetYyyy,
+            dataset.memo,
+            beforeMaster.modelNo,
+            beforeDataset.id,
+            beforeDataset.uuid,
+            beforeDataset.dataType,
+            beforeDataset.title,
+            beforeDataset.roundNo,
+            beforeDataset.compareYyyy,
+            beforeDataset.targetYyyy,
+            beforeDataset.memo)
+        .orderBy(dataset.createdDttm.desc())
+        .fetch();
+  }
+
+  // TODO 미사용 끝
   @Override
   public List<SelectDataSet> getDatasetSelectG2G3List(DatasetReq req) {
 
     BooleanBuilder builder = new BooleanBuilder();
+    builder.and(dataset.deleted.isFalse());
 
     NumberExpression<Long> selectedCnt = null;
     NumberExpression<Long> wasteCnt =
@@ -205,6 +313,119 @@ public class DatasetRepositoryImpl implements DatasetRepositoryCustom {
         .fetch();
   }
 
+  // TODO 미사용시작
+  @Override
+  public List<SelectTransferDataSet> getDatasetTransferSelectG2G3List(
+      Long modelId, String modelNo) {
+
+    // before join용
+    QModelMasterEntity beforeMaster = new QModelMasterEntity("beforeMaster");
+    QModelDatasetMappEntity beforeMapp = new QModelDatasetMappEntity("beforeMapp");
+    QDatasetEntity beforeDataset = new QDatasetEntity("beforeDataset");
+    QDatasetObjEntity beforeObj = new QDatasetObjEntity("beforeObj");
+
+    BooleanBuilder builder = new BooleanBuilder();
+
+    NumberExpression<Long> wasteCnt =
+        datasetObjEntity.targetClassCd.when("waste").then(1L).otherwise(0L).sum();
+
+    NumberExpression<Long> elseCnt =
+        new CaseBuilder()
+            .when(datasetObjEntity.targetClassCd.notIn("building", "container", "waste"))
+            .then(1L)
+            .otherwise(0L)
+            .sum();
+
+    NumberExpression<Long> selectedCnt = ModelType.G2.getId().equals(modelNo) ? wasteCnt : elseCnt;
+
+    // before도 동일 로직으로 cnt 계산
+    NumberExpression<Long> beforeWasteCnt =
+        beforeObj.targetClassCd.when("waste").then(1L).otherwise(0L).sum();
+
+    NumberExpression<Long> beforeElseCnt =
+        new CaseBuilder()
+            .when(beforeObj.targetClassCd.notIn("building", "container", "waste"))
+            .then(1L)
+            .otherwise(0L)
+            .sum();
+
+    NumberExpression<Long> beforeSelectedCnt =
+        ModelType.G2.getId().equals(modelNo) ? beforeWasteCnt : beforeElseCnt;
+
+    return queryFactory
+        .select(
+            Projections.constructor(
+                SelectTransferDataSet.class,
+
+                // ===== 현재 =====
+                modelMasterEntity.modelNo, // modelNo 파라미터 사용 (req.getModelNo() 제거)
+                dataset.id,
+                dataset.uuid,
+                dataset.dataType,
+                dataset.title,
+                dataset.roundNo,
+                dataset.compareYyyy,
+                dataset.targetYyyy,
+                dataset.memo,
+                selectedCnt, // classCount 자리에 들어가는 cnt (Long)
+
+                // ===== before =====
+                beforeMaster.modelNo,
+                beforeDataset.id,
+                beforeDataset.uuid,
+                beforeDataset.dataType,
+                beforeDataset.title,
+                beforeDataset.roundNo,
+                beforeDataset.compareYyyy,
+                beforeDataset.targetYyyy,
+                beforeDataset.memo,
+                beforeSelectedCnt))
+        .from(modelMasterEntity)
+
+        // ===== 현재 dataset =====
+        .leftJoin(modelDatasetMappEntity)
+        .on(modelDatasetMappEntity.modelUid.eq(modelMasterEntity.id))
+        .leftJoin(dataset)
+        .on(modelDatasetMappEntity.datasetUid.eq(dataset.id))
+        .leftJoin(datasetObjEntity)
+        .on(dataset.id.eq(datasetObjEntity.datasetUid))
+
+        // ===== before dataset =====
+        .leftJoin(beforeMaster)
+        .on(beforeMaster.id.eq(modelMasterEntity.beforeModelId))
+        .leftJoin(beforeMapp)
+        .on(beforeMapp.modelUid.eq(beforeMaster.id))
+        .leftJoin(beforeDataset)
+        .on(beforeMapp.datasetUid.eq(beforeDataset.id))
+        .leftJoin(beforeObj)
+        .on(beforeDataset.id.eq(beforeObj.datasetUid))
+        .where(modelMasterEntity.id.eq(modelId).and(builder))
+
+        // sum() 때문에 groupBy 필요
+        .groupBy(
+            dataset.id,
+            dataset.uuid,
+            dataset.dataType,
+            dataset.title,
+            dataset.roundNo,
+            dataset.compareYyyy,
+            dataset.targetYyyy,
+            dataset.memo,
+            beforeMaster.modelNo,
+            beforeDataset.id,
+            beforeDataset.uuid,
+            beforeDataset.dataType,
+            beforeDataset.title,
+            beforeDataset.roundNo,
+            beforeDataset.compareYyyy,
+            beforeDataset.targetYyyy,
+            beforeDataset.memo)
+        .orderBy(dataset.createdDttm.desc())
+        .fetch();
+  }
+
+  // TODO 미사용 끝
+
   @Override
   public Long getDatasetMaxStage(int compareYyyy, int targetYyyy) {
     return queryFactory

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

@@ -1,3 +1,4 @@
+// TODO 미사용시작
 package com.kamco.cd.training.postgres.repository.dataset;
 
 import com.kamco.cd.training.postgres.entity.MapSheetEntity;
@@ -11,3 +12,4 @@ public interface MapSheetRepository
 
   long countByDatasetIdAndDeletedFalse(Long datasetId);
 }
+// TODO 미사용 끝

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

@@ -1,3 +1,4 @@
+// TODO 미사용시작
 package com.kamco.cd.training.postgres.repository.dataset;
 
 import com.kamco.cd.training.dataset.dto.MapSheetDto;
@@ -7,3 +8,4 @@ import org.springframework.data.domain.Page;
 public interface MapSheetRepositoryCustom {
   Page<MapSheetEntity> findMapSheetList(MapSheetDto.SearchReq searchReq);
 }
+// TODO 미사용 끝

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

@@ -1,3 +1,4 @@
+// TODO 미사용시작
 package com.kamco.cd.training.postgres.repository.dataset;
 
 import com.kamco.cd.training.dataset.dto.MapSheetDto;
@@ -52,3 +53,4 @@ public class MapSheetRepositoryImpl implements MapSheetRepositoryCustom {
     return new PageImpl<>(content, pageable, total);
   }
 }
+// TODO 미사용 끝

src/main/java/com/kamco/cd/training/postgres/repository/hyperparam/HyperParamRepository.java

@@ -8,5 +8,7 @@ import org.springframework.stereotype.Repository;
 @Repository
 public interface HyperParamRepository
     extends JpaRepository<ModelHyperParamEntity, Long>, HyperParamRepositoryCustom {
+  // TODO 미사용시작
   Optional<ModelHyperParamEntity> findByHyperVer(String hyperVer);
+  // TODO 미사용 끝
 }

src/main/java/com/kamco/cd/training/postgres/repository/hyperparam/HyperParamRepositoryCustom.java

@@ -11,6 +11,7 @@ import org.springframework.data.domain.Page;
 
 public interface HyperParamRepositoryCustom {
 
+  // TODO 미사용시작
   /**
    * 마지막 버전 조회
    *
@@ -19,6 +20,8 @@ public interface HyperParamRepositoryCustom {
   @Deprecated
   Optional<ModelHyperParamEntity> findHyperParamVer();
 
+  // TODO 미사용 끝
+
   /**
    * 모델 타입별 마지막 버전 조회
    *
@@ -27,11 +30,33 @@ public interface HyperParamRepositoryCustom {
    */
   Optional<ModelHyperParamEntity> findHyperParamVerByModelType(ModelType modelType);
 
+  // TODO 미사용시작
   Optional<ModelHyperParamEntity> findHyperParamByHyperVer(String hyperVer);
 
+  // TODO 미사용 끝
+
+  /**
+   * 하이퍼 파라미터 상세조회
+   *
+   * @param uuid
+   * @return
+   */
   Optional<ModelHyperParamEntity> findHyperParamByUuid(UUID uuid);
 
+  /**
+   * 하이퍼 파라미터 목록 조회
+   *
+   * @param model
+   * @param req
+   * @return
+   */
   Page<HyperParamDto.List> findByHyperVerList(ModelType model, SearchReq req);
 
-  List<ModelHyperParamEntity> getHyperparamByType(ModelType modelType);
+  /**
+   * 하이퍼 파라미터 모델타입으로 조회
+   *
+   * @param modelType
+   * @return
+   */
+  List<ModelHyperParamEntity> getHyperParamByType(ModelType modelType);
 }

src/main/java/com/kamco/cd/training/postgres/repository/hyperparam/HyperParamRepositoryImpl.java

@@ -9,7 +9,6 @@ import com.kamco.cd.training.hyperparam.dto.HyperParamDto.SearchReq;
 import com.kamco.cd.training.postgres.entity.ModelHyperParamEntity;
 import com.querydsl.core.BooleanBuilder;
 import com.querydsl.core.types.Projections;
-import com.querydsl.core.types.dsl.NumberExpression;
 import com.querydsl.jpa.impl.JPAQuery;
 import com.querydsl.jpa.impl.JPAQueryFactory;
 import java.time.ZoneId;
@@ -30,6 +29,7 @@ public class HyperParamRepositoryImpl implements HyperParamRepositoryCustom {
 
   private final JPAQueryFactory queryFactory;
 
+  // TODO 미사용시작
   @Override
   public Optional<ModelHyperParamEntity> findHyperParamVer() {
 
@@ -43,6 +43,8 @@ public class HyperParamRepositoryImpl implements HyperParamRepositoryCustom {
             .fetchOne());
   }
 
+  // TODO 미사용 끝
+
   @Override
   public Optional<ModelHyperParamEntity> findHyperParamVerByModelType(ModelType modelType) {
 
@@ -60,6 +62,7 @@ public class HyperParamRepositoryImpl implements HyperParamRepositoryCustom {
             .fetchOne());
   }
 
+  // TODO 미사용시작
   @Override
   public Optional<ModelHyperParamEntity> findHyperParamByHyperVer(String hyperVer) {
 
@@ -76,13 +79,15 @@ public class HyperParamRepositoryImpl implements HyperParamRepositoryCustom {
             .fetchOne());
   }
 
+  // TODO 미사용 끝
+
   @Override
   public Optional<ModelHyperParamEntity> findHyperParamByUuid(UUID uuid) {
     return Optional.ofNullable(
         queryFactory
             .select(modelHyperParamEntity)
             .from(modelHyperParamEntity)
-            .where(modelHyperParamEntity.delYn.isFalse().and(modelHyperParamEntity.uuid.eq(uuid)))
+            .where(modelHyperParamEntity.uuid.eq(uuid))
             .fetchOne());
   }
 
@@ -91,10 +96,12 @@ public class HyperParamRepositoryImpl implements HyperParamRepositoryCustom {
     Pageable pageable = req.toPageable();
 
     BooleanBuilder builder = new BooleanBuilder();
+
+    builder.and(modelHyperParamEntity.delYn.isFalse());
+
     if (model != null) {
       builder.and(modelHyperParamEntity.modelType.eq(model));
     }
-    builder.and(modelHyperParamEntity.delYn.isFalse());
 
     if (req.getHyperVer() != null && !req.getHyperVer().isEmpty()) {
       // 버전
@@ -118,13 +125,6 @@ public class HyperParamRepositoryImpl implements HyperParamRepositoryCustom {
       }
     }
 
-    NumberExpression<Long> totalUseCnt =
-        modelHyperParamEntity
-            .m1UseCnt
-            .coalesce(0L)
-            .add(modelHyperParamEntity.m2UseCnt.coalesce(0L))
-            .add(modelHyperParamEntity.m3UseCnt.coalesce(0L));
-
     JPAQuery<HyperParamDto.List> query =
         queryFactory
             .select(
@@ -136,10 +136,7 @@ public class HyperParamRepositoryImpl implements HyperParamRepositoryCustom {
                     modelHyperParamEntity.createdDttm,
                     modelHyperParamEntity.lastUsedDttm,
                     modelHyperParamEntity.memo,
-                    modelHyperParamEntity.m1UseCnt,
-                    modelHyperParamEntity.m2UseCnt,
-                    modelHyperParamEntity.m3UseCnt,
-                    totalUseCnt.as("totalUseCnt")))
+                    modelHyperParamEntity.totalUseCnt))
             .from(modelHyperParamEntity)
             .where(builder);
 
@@ -164,8 +161,11 @@ public class HyperParamRepositoryImpl implements HyperParamRepositoryCustom {
                 asc
                     ? modelHyperParamEntity.lastUsedDttm.asc()
                     : modelHyperParamEntity.lastUsedDttm.desc());
-
-        case "totalUseCnt" -> query.orderBy(asc ? totalUseCnt.asc() : totalUseCnt.desc());
+        case "totalUseCnt" ->
+            query.orderBy(
+                asc
+                    ? modelHyperParamEntity.totalUseCnt.asc()
+                    : modelHyperParamEntity.totalUseCnt.desc());
 
         default -> query.orderBy(modelHyperParamEntity.createdDttm.desc());
       }
@@ -187,7 +187,7 @@ public class HyperParamRepositoryImpl implements HyperParamRepositoryCustom {
   }
 
   @Override
-  public List<ModelHyperParamEntity> getHyperparamByType(ModelType modelType) {
+  public List<ModelHyperParamEntity> getHyperParamByType(ModelType modelType) {
     return queryFactory
         .select(modelHyperParamEntity)
         .from(modelHyperParamEntity)

src/main/java/com/kamco/cd/training/postgres/repository/members/MembersRepositoryCustom.java

@@ -7,14 +7,18 @@ import java.util.UUID;
 import org.springframework.data.domain.Page;
 
 public interface MembersRepositoryCustom {
+  // TODO 미사용시작
   boolean existsByUserId(String userId);
 
+  // TODO 미사용 끝
   boolean existsByEmployeeNo(String employeeNo);
 
   Optional<MemberEntity> findByEmployeeNo(String employeeNo);
 
+  // TODO 미사용시작
   Optional<MemberEntity> findByUserId(String userId);
 
+  // TODO 미사용 끝
   Optional<MemberEntity> findByUUID(UUID uuid);
 
   Page<MemberEntity> findByMembers(MembersDto.SearchReq searchReq);

src/main/java/com/kamco/cd/training/postgres/repository/members/MembersRepositoryImpl.java

@@ -27,6 +27,7 @@ public class MembersRepositoryImpl extends QuerydslRepositorySupport
     this.queryFactory = queryFactory;
   }
 
+  // TODO 미사용시작
   /**
    * 사용자 ID 조회
    *
@@ -43,6 +44,8 @@ public class MembersRepositoryImpl extends QuerydslRepositorySupport
         != null;
   }
 
+  // TODO 미사용 끝
+
   /**
    * 사용자 사번 조회
    *
@@ -59,6 +62,7 @@ public class MembersRepositoryImpl extends QuerydslRepositorySupport
         != null;
   }
 
+  // TODO 미사용시작
   /**
    * 사용자 조회 user id
    *
@@ -71,6 +75,8 @@ public class MembersRepositoryImpl extends QuerydslRepositorySupport
         queryFactory.selectFrom(memberEntity).where(memberEntity.userId.eq(userId)).fetchOne());
   }
 
+  // TODO 미사용 끝
+
   /**
    * 사용자 조회 employeed no
    *

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

@@ -5,4 +5,8 @@ import java.util.Optional;
 
 public interface ModelConfigRepositoryCustom {
   Optional<ModelConfigDto.Basic> findModelConfigByModelId(Long modelId);
+
+  // TODO 미사용시작
+  Optional<ModelConfigDto.TransferBasic> findModelTransferConfigByModelId(Long modelId);
+  // TODO 미사용 끝
 }

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

@@ -1,8 +1,12 @@
 package com.kamco.cd.training.postgres.repository.model;
 
 import static com.kamco.cd.training.postgres.entity.QModelConfigEntity.modelConfigEntity;
+import static com.kamco.cd.training.postgres.entity.QModelMasterEntity.modelMasterEntity;
 
 import com.kamco.cd.training.model.dto.ModelConfigDto.Basic;
+import com.kamco.cd.training.model.dto.ModelConfigDto.TransferBasic;
+import com.kamco.cd.training.postgres.entity.QModelConfigEntity;
+import com.kamco.cd.training.postgres.entity.QModelMasterEntity;
 import com.querydsl.core.types.Projections;
 import com.querydsl.jpa.impl.JPAQueryFactory;
 import java.util.Optional;
@@ -34,4 +38,46 @@ public class ModelConfigRepositoryImpl implements ModelConfigRepositoryCustom {
             .where(modelConfigEntity.model.id.eq(modelId))
             .fetchOne());
   }
+
+  // TODO 미사용시작
+  @Override
+  public Optional<TransferBasic> findModelTransferConfigByModelId(Long modelId) {
+    QModelConfigEntity beforeConfig = new QModelConfigEntity("beforeConfig");
+    QModelMasterEntity beforeMaster = new QModelMasterEntity("beforeMaster");
+
+    return Optional.ofNullable(
+        queryFactory
+            .select(
+                Projections.constructor(
+                    TransferBasic.class,
+
+                    // ===== 현재 =====
+                    modelConfigEntity.id,
+                    modelConfigEntity.model.id,
+                    modelConfigEntity.epochCount,
+                    modelConfigEntity.trainPercent,
+                    modelConfigEntity.validationPercent,
+                    modelConfigEntity.testPercent,
+                    modelConfigEntity.memo,
+
+                    // ===== before =====
+                    beforeConfig.id,
+                    beforeConfig.model.id,
+                    beforeConfig.epochCount,
+                    beforeConfig.trainPercent,
+                    beforeConfig.validationPercent,
+                    beforeConfig.testPercent,
+                    beforeConfig.memo))
+            .from(modelConfigEntity)
+            .innerJoin(modelConfigEntity.model, modelMasterEntity)
+
+            // before 모델 조인
+            .leftJoin(beforeMaster)
+            .on(beforeMaster.id.eq(modelMasterEntity.beforeModelId))
+            .leftJoin(beforeConfig)
+            .on(beforeConfig.model.id.eq(beforeMaster.id))
+            .where(modelMasterEntity.id.eq(modelId))
+            .fetchOne());
+  }
+  // TODO 미사용 끝
 }

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

@@ -1,8 +1,15 @@
 package com.kamco.cd.training.postgres.repository.model;
 
 import com.kamco.cd.training.postgres.entity.ModelDatasetMappEntity;
+import com.kamco.cd.training.train.dto.ModelTrainLinkDto;
 import java.util.List;
 
 public interface ModelDatasetMappRepositoryCustom {
   List<ModelDatasetMappEntity> findByModelUid(Long modelId);
+
+  List<ModelTrainLinkDto> findDatasetTrainPath(Long modelId);
+
+  List<ModelTrainLinkDto> findDatasetValPath(Long modelId);
+
+  List<ModelTrainLinkDto> findDatasetTestPath(Long modelId);
 }

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

@@ -1,8 +1,16 @@
 package com.kamco.cd.training.postgres.repository.model;
 
+import static com.kamco.cd.training.postgres.entity.QDatasetEntity.datasetEntity;
 import static com.kamco.cd.training.postgres.entity.QModelDatasetMappEntity.modelDatasetMappEntity;
+import static com.kamco.cd.training.postgres.entity.QModelMasterEntity.modelMasterEntity;
 
+import com.kamco.cd.training.common.enums.ModelType;
 import com.kamco.cd.training.postgres.entity.ModelDatasetMappEntity;
+import com.kamco.cd.training.postgres.entity.QDatasetObjEntity;
+import com.kamco.cd.training.postgres.entity.QDatasetTestObjEntity;
+import com.kamco.cd.training.postgres.entity.QDatasetValObjEntity;
+import com.kamco.cd.training.train.dto.ModelTrainLinkDto;
+import com.querydsl.core.types.Projections;
 import com.querydsl.jpa.impl.JPAQueryFactory;
 import java.util.List;
 import lombok.RequiredArgsConstructor;
@@ -22,4 +30,136 @@ public class ModelDatasetMappRepositoryImpl implements ModelDatasetMappRepositor
         .where(modelDatasetMappEntity.modelUid.eq(modelId))
         .fetch();
   }
+
+  @Override
+  public List<ModelTrainLinkDto> findDatasetTrainPath(Long modelId) {
+
+    QDatasetObjEntity datasetObjEntity = QDatasetObjEntity.datasetObjEntity;
+
+    return queryFactory
+        .select(
+            Projections.constructor(
+                ModelTrainLinkDto.class,
+                modelMasterEntity.id,
+                modelMasterEntity.trainType,
+                modelMasterEntity.modelNo,
+                modelDatasetMappEntity.datasetUid,
+                datasetObjEntity.targetClassCd,
+                datasetObjEntity.comparePath,
+                datasetObjEntity.targetPath,
+                datasetObjEntity.labelPath,
+                datasetObjEntity.geojsonPath,
+                datasetEntity.uid))
+        .from(modelMasterEntity)
+        .leftJoin(modelDatasetMappEntity)
+        .on(modelDatasetMappEntity.modelUid.eq(modelMasterEntity.id))
+        .leftJoin(datasetEntity)
+        .on(datasetEntity.id.eq(modelDatasetMappEntity.datasetUid))
+        .leftJoin(datasetObjEntity)
+        .on(
+            datasetObjEntity
+                .datasetUid
+                .eq(modelDatasetMappEntity.datasetUid)
+                .and(
+                    modelMasterEntity
+                        .modelNo
+                        .eq(ModelType.G1.getId())
+                        .and(datasetObjEntity.targetClassCd.upper().in("CONTAINER", "BUILDING"))
+                        .or(
+                            modelMasterEntity
+                                .modelNo
+                                .eq(ModelType.G2.getId())
+                                .and(datasetObjEntity.targetClassCd.upper().eq("WASTE")))
+                        .or(modelMasterEntity.modelNo.eq(ModelType.G3.getId()))))
+        .where(modelMasterEntity.id.eq(modelId))
+        .fetch();
+  }
+
+  @Override
+  public List<ModelTrainLinkDto> findDatasetValPath(Long modelId) {
+
+    QDatasetValObjEntity datasetValObjEntity = QDatasetValObjEntity.datasetValObjEntity;
+
+    return queryFactory
+        .select(
+            Projections.constructor(
+                ModelTrainLinkDto.class,
+                modelMasterEntity.id,
+                modelMasterEntity.trainType,
+                modelMasterEntity.modelNo,
+                modelDatasetMappEntity.datasetUid,
+                datasetValObjEntity.targetClassCd,
+                datasetValObjEntity.comparePath,
+                datasetValObjEntity.targetPath,
+                datasetValObjEntity.labelPath,
+                datasetValObjEntity.geojsonPath,
+                datasetEntity.uid))
+        .from(modelMasterEntity)
+        .leftJoin(modelDatasetMappEntity)
+        .on(modelDatasetMappEntity.modelUid.eq(modelMasterEntity.id))
+        .leftJoin(datasetEntity)
+        .on(datasetEntity.id.eq(modelDatasetMappEntity.datasetUid))
+        .leftJoin(datasetValObjEntity)
+        .on(
+            datasetValObjEntity
+                .datasetUid
+                .eq(modelDatasetMappEntity.datasetUid)
+                .and(
+                    modelMasterEntity
+                        .modelNo
+                        .eq(ModelType.G1.getId())
+                        .and(datasetValObjEntity.targetClassCd.upper().in("CONTAINER", "BUILDING"))
+                        .or(
+                            modelMasterEntity
+                                .modelNo
+                                .eq(ModelType.G2.getId())
+                                .and(datasetValObjEntity.targetClassCd.upper().eq("WASTE")))
+                        .or(modelMasterEntity.modelNo.eq(ModelType.G3.getId()))))
+        .where(modelMasterEntity.id.eq(modelId))
+        .fetch();
+  }
+
+  @Override
+  public List<ModelTrainLinkDto> findDatasetTestPath(Long modelId) {
+
+    QDatasetTestObjEntity datasetTestObjEntity = QDatasetTestObjEntity.datasetTestObjEntity;
+
+    return queryFactory
+        .select(
+            Projections.constructor(
+                ModelTrainLinkDto.class,
+                modelMasterEntity.id,
+                modelMasterEntity.trainType,
+                modelMasterEntity.modelNo,
+                modelDatasetMappEntity.datasetUid,
+                datasetTestObjEntity.targetClassCd,
+                datasetTestObjEntity.comparePath,
+                datasetTestObjEntity.targetPath,
+                datasetTestObjEntity.labelPath,
+                datasetTestObjEntity.geojsonPath,
+                datasetEntity.uid))
+        .from(modelMasterEntity)
+        .leftJoin(modelDatasetMappEntity)
+        .on(modelDatasetMappEntity.modelUid.eq(modelMasterEntity.id))
+        .leftJoin(datasetEntity)
+        .on(datasetEntity.id.eq(modelDatasetMappEntity.datasetUid))
+        .leftJoin(datasetTestObjEntity)
+        .on(
+            datasetTestObjEntity
+                .datasetUid
+                .eq(modelDatasetMappEntity.datasetUid)
+                .and(
+                    modelMasterEntity
+                        .modelNo
+                        .eq(ModelType.G1.getId())
+                        .and(datasetTestObjEntity.targetClassCd.upper().in("CONTAINER", "BUILDING"))
+                        .or(
+                            modelMasterEntity
+                                .modelNo
+                                .eq(ModelType.G2.getId())
+                                .and(datasetTestObjEntity.targetClassCd.upper().eq("WASTE")))
+                        .or(modelMasterEntity.modelNo.eq(ModelType.G3.getId()))))
+        .where(modelMasterEntity.id.eq(modelId))
+        .fetch();
+  }
 }

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

@@ -23,8 +23,11 @@ public interface ModelDetailRepositoryCustom {
 
   HyperSummary getByModelHyperParamSummary(UUID uuid);
 
+  // TODO 미사용시작
   TransferHyperSummary getByModelTransferHyperParamSummary(UUID uuid);
 
+  // TODO 미사용 끝
+
   List<MappingDataset> getByModelMappingDataset(UUID uuid);
 
   ModelMasterEntity findByModelByUUID(UUID uuid);
@@ -40,4 +43,6 @@ public interface ModelDetailRepositoryCustom {
   ModelFileInfo getModelTrainFileInfo(UUID uuid);
 
   List<ModelProgressStepDto> findModelTrainProgressInfo(UUID uuid);
+
+  ModelMasterEntity findByModelBeforeId(Long beforeModelId);
 }

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

@@ -23,6 +23,7 @@ import com.kamco.cd.training.model.dto.ModelTrainMngDto.ModelProgressStepDto;
 import com.kamco.cd.training.postgres.entity.ModelMasterEntity;
 import com.kamco.cd.training.postgres.entity.QModelHyperParamEntity;
 import com.kamco.cd.training.postgres.entity.QModelMasterEntity;
+import com.querydsl.core.types.Expression;
 import com.querydsl.core.types.Projections;
 import com.querydsl.jpa.JPAExpressions;
 import com.querydsl.jpa.impl.JPAQueryFactory;
@@ -59,6 +60,13 @@ public class ModelDetailRepositoryImpl implements ModelDetailRepositoryCustom {
 
   @Override
   public DetailSummary getModelDetailSummary(UUID uuid) {
+    QModelMasterEntity beforeModel = new QModelMasterEntity("beforeModel"); // alias
+
+    Expression<UUID> beforeModelUuid =
+        com.querydsl.jpa.JPAExpressions.select(beforeModel.uuid)
+            .from(beforeModel)
+            .where(beforeModel.id.eq(modelMasterEntity.beforeModelId));
+
     return queryFactory
         .select(
             Projections.constructor(
@@ -70,7 +78,8 @@ public class ModelDetailRepositoryImpl implements ModelDetailRepositoryCustom {
                 modelMasterEntity.step1StrtDttm,
                 modelMasterEntity.step2EndDttm,
                 modelMasterEntity.statusCd,
-                modelMasterEntity.trainType))
+                modelMasterEntity.trainType,
+                beforeModelUuid))
         .from(modelMasterEntity)
         .where(modelMasterEntity.uuid.eq(uuid))
         .fetchOne();
@@ -355,4 +364,12 @@ public class ModelDetailRepositoryImpl implements ModelDetailRepositoryCustom {
 
     return steps;
   }
+
+  @Override
+  public ModelMasterEntity findByModelBeforeId(Long beforeModelId) {
+    return queryFactory
+        .selectFrom(modelMasterEntity)
+        .where(modelMasterEntity.id.eq(beforeModelId))
+        .fetchOne();
+  }
 }

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

@@ -20,8 +20,11 @@ public interface ModelMngRepositoryCustom {
 
   Optional<ModelMasterEntity> findByUuid(UUID uuid);
 
+  // TODO 미사용시작
   Optional<ModelMasterEntity> findFirstByStatusCdAndDelYn(String statusCd, Boolean delYn);
 
+  // TODO 미사용 끝
+
   TrainRunRequest findTrainRunRequest(Long modelId);
 
   Long findModelStep1InProgressCnt();

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

@@ -9,8 +9,10 @@ import com.kamco.cd.training.common.enums.TrainStatusType;
 import com.kamco.cd.training.model.dto.ModelTrainMngDto;
 import com.kamco.cd.training.model.dto.ModelTrainMngDto.ListDto;
 import com.kamco.cd.training.postgres.entity.ModelMasterEntity;
+import com.kamco.cd.training.postgres.entity.QModelMasterEntity;
 import com.kamco.cd.training.train.dto.TrainRunRequest;
 import com.querydsl.core.BooleanBuilder;
+import com.querydsl.core.types.Expression;
 import com.querydsl.core.types.Projections;
 import com.querydsl.core.types.dsl.Expressions;
 import com.querydsl.jpa.impl.JPAQueryFactory;
@@ -37,6 +39,13 @@ public class ModelMngRepositoryImpl implements ModelMngRepositoryCustom {
    */
   @Override
   public Page<ListDto> findByModels(ModelTrainMngDto.SearchReq req) {
+    QModelMasterEntity beforeModel = new QModelMasterEntity("beforeModel"); // alias
+
+    Expression<UUID> beforeModelUuid =
+        com.querydsl.jpa.JPAExpressions.select(beforeModel.uuid)
+            .from(beforeModel)
+            .where(beforeModel.id.eq(modelMasterEntity.beforeModelId));
+
     Pageable pageable = req.toPageable();
     BooleanBuilder builder = new BooleanBuilder();
 
@@ -78,7 +87,8 @@ public class ModelMngRepositoryImpl implements ModelMngRepositoryCustom {
                     modelMasterEntity.packingStrtDttm,
                     modelMasterEntity.packingEndDttm,
                     modelConfigEntity.memo,
-                    memberEntity.name))
+                    memberEntity.name,
+                    beforeModelUuid))
             .from(modelMasterEntity)
             .innerJoin(modelConfigEntity)
             .on(modelMasterEntity.id.eq(modelConfigEntity.model.id))
@@ -123,11 +133,14 @@ public class ModelMngRepositoryImpl implements ModelMngRepositoryCustom {
             .fetchOne());
   }
 
+  // TODO 미사용시작
   @Override
   public Optional<ModelMasterEntity> findFirstByStatusCdAndDelYn(String statusCd, Boolean delYn) {
     return Optional.empty();
   }
 
+  // TODO 미사용 끝
+
   @Override
   public TrainRunRequest findTrainRunRequest(Long modelId) {
     return queryFactory
@@ -191,7 +204,11 @@ public class ModelMngRepositoryImpl implements ModelMngRepositoryCustom {
     return queryFactory
         .select(modelMasterEntity.id.count())
         .from(modelMasterEntity)
-        .where(modelMasterEntity.step1State.eq(TrainStatusType.IN_PROGRESS.getId()))
+        .where(
+            modelMasterEntity
+                .step1State
+                .eq(TrainStatusType.IN_PROGRESS.getId())
+                .or(modelMasterEntity.step2State.eq(TrainStatusType.IN_PROGRESS.getId())))
         .fetchOne();
   }
 }

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

@@ -65,16 +65,48 @@ public class ModelTestMetricsJobRepositoryImpl extends QuerydslRepositorySupport
 
   @Override
   public void insertModelMetricsTest(List<Object[]> batchArgs) {
-    String sql =
-        """
-          insert into tb_model_metrics_test
-          (model_id, model, tp, fp, fn, precisions, recall, f1_score, accuracy, iou,
-           detection_count, gt_count
-           )
-          values (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
-      """;
+    // AS-IS
+    //    String sql =
+    //        """
+    //          insert into tb_model_metrics_test
+    //          (model_id, model, tp, fp, fn, precisions, recall, f1_score, accuracy, iou,
+    //           detection_count, gt_count
+    //           )
+    //          values (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
+    //      """;
+    //
+    //    jdbcTemplate.batchUpdate(sql, batchArgs);
 
-    jdbcTemplate.batchUpdate(sql, batchArgs);
+    // TO-BE: modelId, model(best_fscore_10) 같은 데이터가 있으면 update, 없으면 insert
+    String updateSql =
+        """
+    UPDATE tb_model_metrics_test
+    SET tp=?, fp=?, fn=?, precisions=?, recall=?, f1_score=?, accuracy=?, iou=?,
+        detection_count=?, gt_count=?
+    WHERE model_id=? AND model=?
+  """;
+
+    String insertSql =
+        """
+    INSERT INTO tb_model_metrics_test
+      (model_id, model, tp, fp, fn, precisions, recall, f1_score, accuracy, iou,
+       detection_count, gt_count)
+    VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
+  """;
+
+    // row 단위 처리 (batch 안에서 upsert)
+    for (Object[] row : batchArgs) {
+      // row 순서: (model_id, model, tp, fp, fn, precisions, recall, f1_score, accuracy, iou,
+      // detection_count, gt_count)
+      int updated =
+          jdbcTemplate.update(
+              updateSql, row[2], row[3], row[4], row[5], row[6], row[7], row[8], row[9], row[10],
+              row[11], row[0], row[1]);
+
+      if (updated == 0) {
+        jdbcTemplate.update(insertSql, row);
+      }
+    }
   }
 
   @Override
@@ -100,7 +132,8 @@ public class ModelTestMetricsJobRepositoryImpl extends QuerydslRepositorySupport
             modelMetricsTestEntity.model.eq(modelMetricsTrainEntity.model),
             modelMasterEntity.bestEpoch.eq(modelMetricsTrainEntity.epoch))
         .where(modelMetricsTestEntity.model.id.eq(modelId))
-        .fetchOne();
+        .orderBy(modelMetricsTestEntity.createdDttm.desc())
+        .fetchFirst();
   }
 
   @Override

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

@@ -1,6 +1,7 @@
 package com.kamco.cd.training.postgres.repository.train;
 
 import com.kamco.cd.training.postgres.entity.ModelTrainJobEntity;
+import java.util.List;
 import java.util.Optional;
 
 public interface ModelTrainJobRepositoryCustom {
@@ -9,4 +10,8 @@ public interface ModelTrainJobRepositoryCustom {
   Optional<ModelTrainJobEntity> findLatestByModelId(Long modelId);
 
   Optional<ModelTrainJobEntity> findByContainerName(String containerName);
+
+  void insertModelTestTrainingRun(Long modelId, Long jobId, int epoch);
+
+  List<ModelTrainJobEntity> findRunningJobs();
 }

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

@@ -1,9 +1,15 @@
 package com.kamco.cd.training.postgres.repository.train;
 
+import static com.kamco.cd.training.postgres.entity.QModelTestTrainingRunEntity.modelTestTrainingRunEntity;
+import static com.kamco.cd.training.postgres.entity.QModelTrainJobEntity.modelTrainJobEntity;
+
+import com.kamco.cd.training.common.enums.JobStatusType;
+import com.kamco.cd.training.common.enums.JobType;
 import com.kamco.cd.training.postgres.entity.ModelTrainJobEntity;
 import com.kamco.cd.training.postgres.entity.QModelTrainJobEntity;
 import com.querydsl.jpa.impl.JPAQueryFactory;
 import jakarta.persistence.EntityManager;
+import java.util.List;
 import java.util.Optional;
 import org.springframework.stereotype.Repository;
 
@@ -19,7 +25,7 @@ public class ModelTrainJobRepositoryImpl implements ModelTrainJobRepositoryCusto
   /** modelId의 attempt_no 최대값. (없으면 0) */
   @Override
   public int findMaxAttemptNo(Long modelId) {
-    QModelTrainJobEntity j = QModelTrainJobEntity.modelTrainJobEntity;
+    QModelTrainJobEntity j = modelTrainJobEntity;
 
     Integer max =
         queryFactory.select(j.attemptNo.max()).from(j).where(j.modelId.eq(modelId)).fetchOne();
@@ -33,7 +39,7 @@ public class ModelTrainJobRepositoryImpl implements ModelTrainJobRepositoryCusto
    */
   @Override
   public Optional<ModelTrainJobEntity> findLatestByModelId(Long modelId) {
-    QModelTrainJobEntity j = QModelTrainJobEntity.modelTrainJobEntity;
+    QModelTrainJobEntity j = modelTrainJobEntity;
 
     ModelTrainJobEntity job =
         queryFactory.selectFrom(j).where(j.modelId.eq(modelId)).orderBy(j.id.desc()).fetchFirst();
@@ -43,7 +49,7 @@ public class ModelTrainJobRepositoryImpl implements ModelTrainJobRepositoryCusto
 
   @Override
   public Optional<ModelTrainJobEntity> findByContainerName(String containerName) {
-    QModelTrainJobEntity j = QModelTrainJobEntity.modelTrainJobEntity;
+    QModelTrainJobEntity j = modelTrainJobEntity;
 
     ModelTrainJobEntity job =
         queryFactory
@@ -54,4 +60,40 @@ public class ModelTrainJobRepositoryImpl implements ModelTrainJobRepositoryCusto
 
     return Optional.ofNullable(job);
   }
+
+  @Override
+  public void insertModelTestTrainingRun(Long modelId, Long jobId, int epoch) {
+    Integer maxAttemptNo =
+        queryFactory
+            .select(modelTestTrainingRunEntity.attemptNo.max().coalesce(0))
+            .from(modelTestTrainingRunEntity)
+            .where(modelTestTrainingRunEntity.modelId.eq(modelId))
+            .fetchOne();
+
+    int nextAttemptNo = (maxAttemptNo == null ? 1 : maxAttemptNo + 1);
+
+    queryFactory
+        .insert(modelTestTrainingRunEntity)
+        .columns(
+            modelTestTrainingRunEntity.modelId,
+            modelTestTrainingRunEntity.attemptNo,
+            modelTestTrainingRunEntity.jobId,
+            modelTestTrainingRunEntity.epoch)
+        .values(modelId, nextAttemptNo, jobId, epoch)
+        .execute();
+  }
+
+  @Override
+  public List<ModelTrainJobEntity> findRunningJobs() {
+    return queryFactory
+        .select(modelTrainJobEntity)
+        .from(modelTrainJobEntity)
+        .where(
+            modelTrainJobEntity
+                .statusCd
+                .eq(JobStatusType.RUNNING.getId())
+                .and(modelTrainJobEntity.jobType.eq(JobType.TRAIN.getId())))
+        .orderBy(modelTrainJobEntity.id.desc())
+        .fetch();
+  }
 }

src/main/java/com/kamco/cd/training/train/TrainApiController.java

@@ -185,7 +185,7 @@ public class TrainApiController {
       })
   @PostMapping("/create-tmp/{uuid}")
   public ApiResponseDto<UUID> createTmpFile(
-      @Parameter(description = "uuid", example = "80a0e544-36ed-4999-b705-97427f23337d")
+      @Parameter(description = "model uuid", example = "80a0e544-36ed-4999-b705-97427f23337d")
           @PathVariable
           UUID uuid) {
 

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

@@ -0,0 +1,24 @@
+package com.kamco.cd.training.train.dto;
+
+import lombok.AllArgsConstructor;
+import lombok.Getter;
+import lombok.NoArgsConstructor;
+import lombok.Setter;
+
+@Getter
+@Setter
+@NoArgsConstructor
+@AllArgsConstructor
+public class ModelTrainLinkDto {
+
+  private Long modelId;
+  private String trainType;
+  private String modelNo;
+  private Long datasetId;
+  private String targetClassCd;
+  private String comparePath;
+  private String targetPath;
+  private String labelPath;
+  private String geoJsonPath;
+  private String datasetUid;
+}

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

@@ -6,13 +6,17 @@ import java.io.IOException;
 import java.nio.file.Files;
 import java.nio.file.Path;
 import java.util.ArrayList;
+import java.util.HashSet;
 import java.util.List;
+import java.util.Set;
+import java.util.stream.Collectors;
 import lombok.Getter;
 import lombok.RequiredArgsConstructor;
 import lombok.extern.log4j.Log4j2;
 import org.springframework.beans.factory.annotation.Value;
 import org.springframework.stereotype.Service;
 
+/** 학습실행 파일 하드링크 */
 @Service
 @Log4j2
 @RequiredArgsConstructor
@@ -42,6 +46,10 @@ public class DataSetCountersService {
 
       // tmp
       Path tmpPath = Path.of(trainBaseDir, "tmp", basic.getRequestPath());
+
+      // 차이나는거
+      diffMergedRequestsVsTmp(uids, tmpPath);
+
       DatasetCounters counters2 = countTmpAfterBuild(tmpPath);
       allLogs
           .append(counters2.prints(basic.getRequestPath(), "TMP"))
@@ -163,4 +171,60 @@ public class DataSetCountersService {
           test + test2);
     }
   }
+
+  private Set<String> listTifRelative(Path root) throws IOException {
+    if (!Files.isDirectory(root)) return Set.of();
+
+    try (var stream = Files.walk(root)) {
+      return stream
+          .filter(Files::isRegularFile)
+          .filter(p -> p.getFileName().toString().toLowerCase().endsWith(".tif"))
+          .map(p -> root.relativize(p).toString().replace("\\", "/"))
+          .collect(Collectors.toSet());
+    }
+  }
+
+  private Set<String> listTifFileNameOnly(Path root) throws IOException {
+    if (!Files.isDirectory(root)) return Set.of();
+
+    try (var stream = Files.walk(root)) {
+      return stream
+          .filter(Files::isRegularFile)
+          .filter(p -> p.getFileName().toString().toLowerCase().endsWith(".tif"))
+          .map(p -> p.getFileName().toString()) // 파일명만
+          .collect(Collectors.toSet());
+    }
+  }
+
+  public void diffMergedRequestsVsTmp(List<String> uids, Path tmpRoot) throws IOException {
+
+    // 1) 요청 uids 전체를 합친 tif "파일명" 집합
+    Set<String> reqAll = new HashSet<>();
+    for (String uid : uids) {
+      Path reqRoot = Path.of(requestDir, uid);
+
+      // ★합본 tmp는 보통 폴더 구조가 바뀌므로 "상대경로" 비교보다 파일명 비교가 먼저 유용합니다.
+      reqAll.addAll(listTifFileNameOnly(reqRoot));
+    }
+
+    // 2) tmp tif 파일명 집합
+    Set<String> tmpAll = listTifFileNameOnly(tmpRoot);
+
+    Set<String> missing = new HashSet<>(reqAll);
+    missing.removeAll(tmpAll);
+
+    Set<String> extra = new HashSet<>(tmpAll);
+    extra.removeAll(reqAll);
+
+    log.info("==== MERGED DIFF (filename-based) ====");
+    log.info("request(all uids) tif = {}", reqAll.size());
+    log.info("tmp tif               = {}", tmpAll.size());
+    log.info("missing               = {}", missing.size());
+    log.info("extra                 = {}", extra.size());
+
+    log.info("[MISSING] total = {}", missing.size());
+    missing.stream().sorted().limit(50).forEach(f -> log.warn("[MISSING] {}", f));
+    log.info("[EXTRA] total = {}", extra.size());
+    extra.stream().sorted().limit(50).forEach(f -> log.warn("[EXTRA] {}", f));
+  }
 }

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

@@ -7,6 +7,9 @@ import com.kamco.cd.training.train.dto.TrainRunResult;
 import java.io.BufferedReader;
 import java.io.InputStreamReader;
 import java.nio.charset.StandardCharsets;
+import java.nio.file.Files;
+import java.nio.file.Path;
+import java.nio.file.Paths;
 import java.util.ArrayList;
 import java.util.List;
 import java.util.concurrent.TimeUnit;
@@ -43,13 +46,27 @@ public class DockerTrainService {
   @Value("${train.docker.shmSize:16g}")
   private String shmSize;
 
+  // data 경로 request,response 상위 폴더
+  @Value("${train.docker.basePath}")
+  private String basePath;
+
   // IPC host 사용 여부
   @Value("${train.docker.ipcHost:true}")
   private boolean ipcHost;
 
+  @Value("${spring.profiles.active}")
+  private String profile;
+
   private final ModelTrainJobCoreService modelTrainJobCoreService;
 
-  /** Docker 학습 컨테이너를 동기 실행 - 요청 스레드에서 docker run 실행 - 컨테이너 종료까지 대기 - stdout/stderr 로그 수집 후 결과 반환 */
+  /**
+   * Docker 학습 컨테이너를 동기 실행 - 요청 스레드에서 docker run 실행 - 컨테이너 종료까지 대기 - stdout/stderr 로그 수집 후 결과 반환
+   *
+   * @param req
+   * @param containerName
+   * @return
+   * @throws Exception
+   */
   public TrainRunResult runTrainSync(TrainRunRequest req, String containerName) throws Exception {
 
     List<String> cmd = buildDockerRunCommand(containerName, req);
@@ -244,7 +261,9 @@ public class DockerTrainService {
 
     // 요청/결과 디렉토리 볼륨 마운트
     c.add("-v");
-    c.add("/home/kcomu/data" + "/tmp:/data");
+    c.add(basePath + ":" + basePath); // 심볼릭 링크와 연결되는 실제 파일 경로도 마운트를 해줘야 함
+    c.add("-v");
+    c.add(basePath + "/tmp:/data");
     c.add("-v");
     c.add(responseDir + ":/checkpoints");
 
@@ -263,9 +282,15 @@ public class DockerTrainService {
     addArg(c, "--output-folder", req.getOutputFolder());
     addArg(c, "--input-size", req.getInputSize());
     addArg(c, "--crop-size", req.getCropSize());
-    addArg(c, "--batch-size", req.getBatchSize());
-    addArg(c, "--gpu-ids", req.getGpuIds());
-    //    addArg(c, "--gpus", req.getGpus());
+    //    addArg(c, "--batch-size", req.getBatchSize());
+    //    addArg(c, "--gpu-ids", req.getGpuIds()); // null
+    if ("prod".equals(profile)) {
+      addArg(c, "--batch-size", 2); // 학습서버 GPU 1개인 곳은 batch-size:2 까지만 가능
+      addArg(c, "--gpus", "1"); // 학습서버 GPU 1개인 곳은 1이어야 함
+      addArg(c, "--gpu-ids", "0"); // 학습서버 GPU 1개인 곳은 0이어야 함
+    } else {
+      addArg(c, "--batch-size", req.getBatchSize()); // 학습서버 GPU 1개인 곳은 batch-size:2 까지만 가능
+    }
     addArg(c, "--lr", req.getLearningRate());
     addArg(c, "--backbone", req.getBackbone());
     addArg(c, "--epochs", req.getEpochs());
@@ -339,7 +364,15 @@ public class DockerTrainService {
     }
   }
 
-  public TrainRunResult runEvalSync(EvalRunRequest req, String containerName) throws Exception {
+  /**
+   * Docker 학습 컨테이너를 동기 실행 - 요청 스레드에서 docker run 실행 - 컨테이너 종료까지 대기 - stdout/stderr 로그 수집 후 결과 반환
+   *
+   * @param containerName
+   * @param req
+   * @return
+   * @throws Exception
+   */
+  public TrainRunResult runEvalSync(String containerName, EvalRunRequest req) throws Exception {
 
     List<String> cmd = buildDockerEvalCommand(containerName, req);
 
@@ -412,7 +445,9 @@ public class DockerTrainService {
     if (uuid == null || uuid.isBlank()) throw new IllegalArgumentException("uuid is required");
     if (epoch == null || epoch <= 0) throw new IllegalArgumentException("epoch must be > 0");
 
-    String modelFile = "best_changed_fscore_epoch_" + epoch + ".pth";
+    Path epochPath = Paths.get(responseDir, req.getOutputFolder());
+    // 결과 폴더에 파라미터로 받은 베스트 epoch이 best_changed_fscore_epoch_ 로 시작하는 파일이 있는지 확인 후 pth 파일명 반환
+    String modelFile = findCheckpoint(epochPath, epoch);
 
     List<String> c = new ArrayList<>();
 
@@ -421,11 +456,14 @@ public class DockerTrainService {
     c.add("--rm");
     c.add("--gpus");
     c.add("all");
+
     c.add("--ipc=host");
     c.add("--shm-size=" + shmSize);
 
     c.add("-v");
-    c.add("/home/kcomu/data" + "/tmp:/data");
+    c.add(basePath + ":" + basePath); // 심볼릭 링크와 연결되는 실제 파일 경로도 마운트를 해줘야 함
+    c.add("-v");
+    c.add(basePath + "/tmp:/data");
 
     c.add("-v");
     c.add(responseDir + ":/checkpoints");
@@ -443,4 +481,25 @@ public class DockerTrainService {
 
     return c;
   }
+
+  public String findCheckpoint(Path dir, int epoch) {
+
+    String bestFileName = String.format("best_changed_fscore_epoch_%d.pth", epoch);
+    String normalFileName = String.format("epoch_%d.pth", epoch);
+
+    Path bestPath = dir.resolve(bestFileName);
+    Path normalPath = dir.resolve(normalFileName);
+
+    // 1. best 파일이 존재하면 그거 사용
+    if (Files.isRegularFile(bestPath)) {
+      return bestFileName;
+    }
+
+    // 2. 없으면 일반 epoch 파일 사용
+    if (Files.isRegularFile(normalPath)) {
+      return normalFileName;
+    }
+
+    throw new IllegalStateException("Checkpoint 파일이 없습니다. epoch=" + epoch);
+  }
 }

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

@@ -0,0 +1,533 @@
+package com.kamco.cd.training.train.service;
+
+import com.kamco.cd.training.model.dto.ModelTrainMngDto;
+import com.kamco.cd.training.postgres.core.ModelTrainJobCoreService;
+import com.kamco.cd.training.postgres.core.ModelTrainMngCoreService;
+import com.kamco.cd.training.train.dto.ModelTrainJobDto;
+import java.io.BufferedReader;
+import java.io.IOException;
+import java.io.InputStreamReader;
+import java.nio.charset.StandardCharsets;
+import java.nio.file.DirectoryStream;
+import java.nio.file.Files;
+import java.nio.file.Path;
+import java.nio.file.Paths;
+import java.util.List;
+import java.util.Map;
+import java.util.Optional;
+import java.util.concurrent.TimeUnit;
+import java.util.stream.Stream;
+import lombok.RequiredArgsConstructor;
+import lombok.extern.log4j.Log4j2;
+import org.springframework.beans.factory.annotation.Value;
+import org.springframework.boot.context.event.ApplicationReadyEvent;
+import org.springframework.context.annotation.Profile;
+import org.springframework.context.event.EventListener;
+import org.springframework.stereotype.Component;
+import org.springframework.transaction.annotation.Transactional;
+
+/**
+ * 서버 재기동 시 "RUNNING 상태로 남아있는 학습 Job"을 복구(정리)하기 위한 서비스.
+ *
+ * <p>상황 예시: - 서버가 강제 재기동/장애로 내려감 - DB 상에서는 job_state가 RUNNING(진행중)으로 남아있음 - 실제 docker 컨테이너는: 1) 아직
+ * 살아있거나(running=true) 2) 종료되었거나(exited) 3) --rm 옵션으로 인해 컨테이너가 이미 삭제되어 존재하지 않을 수 있음
+ *
+ * <p>이 클래스는 ApplicationReadyEvent(스프링 부팅 완료) 시점에 실행되어, DB의 RUNNING 잡들을 조회한 뒤 컨테이너 상태를 점검하고,
+ * SUCCESS/FAILED 처리를 수행합니다.
+ */
+@Profile("!local")
+@Component
+@RequiredArgsConstructor
+@Log4j2
+public class JobRecoveryOnStartupService {
+
+  private final ModelTrainJobCoreService modelTrainJobCoreService;
+  private final ModelTrainMngCoreService modelTrainMngCoreService;
+  private final ModelTrainMetricsJobService modelTrainMetricsJobService;
+
+  /**
+   * Docker 컨테이너가 쓰는 response(산출물) 디렉토리의 "호스트 측" 베이스 경로. 예) /data/train/response
+   *
+   * <p>컨테이너가 --rm 으로 삭제된 경우에도 이 경로에 val.csv / *.pth 등이 남아있으면 정상 종료 여부를 "파일 기반"으로 판정합니다.
+   */
+  @Value("${train.docker.responseDir}")
+  private String responseDir;
+
+  /**
+   * 스프링 부팅 완료 시점(빈 생성/초기화 모두 끝난 뒤)에 복구 로직 실행.
+   *
+   * <p>@Transactional: - recover() 메서드 전체가 하나의 트랜잭션으로 감싸집니다. - Job 하나씩 처리하다가 예외가 발생하면 전체 롤백이 될 수
+   * 있으므로 "잡 단위로 확실히 커밋"이 필요하면 (권장) 잡 단위로 분리 트랜잭션(REQUIRES_NEW) 고려하세요.
+   */
+  @EventListener(ApplicationReadyEvent.class)
+  @Transactional
+  public void recover() {
+
+    // 1) DB에서 "RUNNING(진행중) 상태"로 남아있는 job 목록을 조회
+    List<ModelTrainJobDto> runningJobs = modelTrainJobCoreService.findRunningJobs();
+
+    // 실행중 job이 없으면 할 일 없음
+    if (runningJobs == null || runningJobs.isEmpty()) {
+      return;
+    }
+
+    // 2) 각 job에 대해 docker 컨테이너 상태를 확인하고, 상태에 따라 조치
+    for (ModelTrainJobDto job : runningJobs) {
+      String containerName = job.getContainerName();
+
+      try {
+        // 2-1) docker inspect로 컨테이너 상태 조회
+        DockerInspectState state = inspectContainer(containerName);
+
+        // 3) 컨테이너가 "없음"
+        //    - docker run --rm 로 실행한 컨테이너는 정상 종료 시 바로 삭제될 수 있음
+        //    - 즉 "컨테이너 없음"이 무조건 실패는 아님
+        if (!state.exists()) {
+          log.warn(
+              "[RECOVERY] container missing. try file-based reconcile. container={}",
+              containerName);
+
+          // 3-1) 컨테이너가 없을 때는 산출물(responseDir)을 보고 완료 여부를 "추정"
+          OutputResult out = probeOutputs(job);
+
+          // 3-2) 산출물이 충분하면 성공 처리
+          if (out.completed()) {
+            log.info("[RECOVERY] outputs look completed. mark SUCCESS. jobId={}", job.getId());
+            modelTrainJobCoreService.markSuccess(job.getId(), 0);
+            // model 상태 변경
+            markStepSuccessByJobType(job);
+            // 결과 csv 파일 정보 등록
+            modelTrainMetricsJobService.findTrainValidMetricCsvFiles();
+
+          } else {
+
+            // 3-3) 산출물이 부족하면 중단처리
+            // 산출물이 부족하면 "중단/보류"로 처리
+            // 운영자가 재시작 할 수 있게 한다.
+            log.warn(
+                "[RECOVERY] outputs incomplete. mark PAUSED/STOP for restart. jobId={} reason={}",
+                job.getId(),
+                out.reason());
+
+            Integer modelId = job.getModelId() == null ? null : Math.toIntExact(job.getModelId());
+
+            //  PAUSED/STOP
+            modelTrainJobCoreService.markPaused(
+                job.getId(), modelId, "SERVER_RESTART_CONTAINER_MISSING_OUTPUT_INCOMPLETE");
+
+            // 모델도 에러가 아니라 STOP으로
+            markStepStopByJobType(
+                job, "SERVER_RESTART_CONTAINER_MISSING_OUTPUT_INCOMPLETE: " + out.reason());
+          }
+          continue;
+        }
+
+        // 4) 컨테이너는 존재하고, 아직 running=true
+        //    - 서버만 재기동됐고 컨테이너는 그대로 살아있는 케이스
+        //    - 실행중 docker 를 kill 하고 이어하기를 한다,
+        if (state.running()) {
+          log.warn("[RECOVERY] container still running. force kill. container={}", containerName);
+
+          try {
+            // ============================================================
+            // 1) docker kill (SIGKILL) 바로 전송
+            //    - kill은 즉시 종료
+            // ============================================================
+            ProcessBuilder pb = new ProcessBuilder("docker", "kill", containerName);
+            pb.redirectErrorStream(true);
+
+            Process p = pb.start();
+
+            boolean finished = p.waitFor(20, TimeUnit.SECONDS);
+            if (!finished) {
+              p.destroyForcibly();
+              throw new IOException("docker kill timeout");
+            }
+
+            int code = p.exitValue();
+            if (code != 0) {
+              throw new IOException("docker kill failed. exit=" + code);
+            }
+
+            // ============================================================
+            // 2) kill 후 실제로 죽었는지 확인
+            // ============================================================
+            DockerInspectState after = inspectContainer(containerName);
+            if (after.exists() && after.running()) {
+              throw new IOException("docker kill returned 0 but container still running");
+            }
+
+            log.info("[RECOVERY] container killed successfully. container={}", containerName);
+
+            // ============================================================
+            // 3) job 상태를 PAUSED로 변경 (서버 재기동으로 강제 중단)
+            // ============================================================
+            Integer modelId = job.getModelId() == null ? null : Math.toIntExact(job.getModelId());
+
+            modelTrainJobCoreService.markPaused(
+                job.getId(), modelId, "AUTO_KILLED_ON_SERVER_RESTART");
+
+            log.info("job = {}", job);
+            markStepStopByJobType(job, "AUTO_KILLED_ON_SERVER_RESTART");
+
+          } catch (Exception e) {
+
+            log.error("[RECOVERY] docker kill failed. container={}", containerName, e);
+
+            modelTrainJobCoreService.markFailed(
+                job.getId(), -1, "AUTO_KILL_FAILED_ON_SERVER_RESTART");
+
+            markStepErrorByJobType(job, "AUTO_KILL_FAILED_ON_SERVER_RESTART");
+          }
+
+          continue;
+        }
+
+        // 5) 컨테이너는 존재하지만 running=false
+        //    - exited / dead 등의 상태
+        Integer exitCode = state.exitCode();
+        String status = state.status();
+
+        // 5-1) exitCode=0이면 정상 종료로 간주 → SUCCESS 처리
+        if (exitCode != null && exitCode == 0) {
+          log.info("[RECOVERY] container exited(0). mark SUCCESS. container={}", containerName);
+          modelTrainJobCoreService.markSuccess(job.getId(), 0);
+          // model 상태 변경
+          markStepSuccessByJobType(job);
+          // 결과 csv 파일 정보 등록
+          modelTrainMetricsJobService.findTrainValidMetricCsvFiles();
+
+        } else {
+          // 5-2) exitCode != 0 이거나 null이면 실패로 간주 → FAILED 처리
+          log.warn(
+              "[RECOVERY] container exited non-zero. mark FAILED. container={} status={} exitCode={}",
+              containerName,
+              status,
+              exitCode);
+
+          modelTrainJobCoreService.markFailed(
+              job.getId(), exitCode, "SERVER_RESTART_CONTAINER_EXIT_NONZERO");
+          // model 상태 변경
+          markStepErrorByJobType(job, "exit=" + exitCode + " status=" + status);
+        }
+
+      } catch (Exception e) {
+        // 6) docker inspect 자체가 실패한 경우
+        //    - docker 데몬 문제/권한 문제/일시적 오류 가능
+        //    - 운영 정책에 따라 "바로 실패" 대신 "유예" 처리도 고려 가능
+        log.error("[RECOVERY] container inspect failed. container={}", containerName, e);
+
+        modelTrainJobCoreService.markFailed(
+            job.getId(), -1, "SERVER_RESTART_CONTAINER_INSPECT_ERROR");
+        // model 상태 변경
+        markStepErrorByJobType(job, "inspect-error");
+      }
+    }
+  }
+
+  /**
+   * jobType에 따라 학습 관리 테이블의 "성공 단계"를 업데이트.
+   *
+   * <p>예: - jobType == "EVAL" → step2(평가 단계) 성공 - 그 외 → step1(학습 단계) 성공
+   */
+  private void markStepSuccessByJobType(ModelTrainJobDto job) {
+    Map<String, Object> params = job.getParamsJson();
+    boolean isEval = params != null && "EVAL".equals(String.valueOf(params.get("jobType")));
+    if (isEval) {
+      modelTrainMngCoreService.markStep2Success(job.getModelId());
+    } else {
+      modelTrainMngCoreService.markStep1Success(job.getModelId());
+    }
+  }
+
+  /**
+   * jobType에 따라 학습 관리 테이블의 "에러 단계"를 업데이트.
+   *
+   * <p>예: - jobType == "EVAL" → step2(평가 단계) 에러 - 그 외 → step1 혹은 전체 에러
+   */
+  private void markStepStopByJobType(ModelTrainJobDto job, String msg) {
+    Map<String, Object> params = job.getParamsJson();
+    boolean isEval = params != null && "EVAL".equals(String.valueOf(params.get("jobType")));
+    if (isEval) {
+      modelTrainMngCoreService.markStep2Stop(job.getModelId(), msg);
+    } else {
+      modelTrainMngCoreService.markStep1Stop(job.getModelId(), msg);
+    }
+  }
+
+  private void markStepErrorByJobType(ModelTrainJobDto job, String msg) {
+    Map<String, Object> params = job.getParamsJson();
+    boolean isEval = params != null && "EVAL".equals(String.valueOf(params.get("jobType")));
+    if (isEval) {
+      modelTrainMngCoreService.markStep2Error(job.getModelId(), msg);
+    } else {
+      modelTrainMngCoreService.markError(job.getModelId(), msg);
+    }
+  }
+
+  /**
+   * docker inspect를 사용해서 컨테이너 상태를 조회합니다.
+   *
+   * <p>사용하는 템플릿: {{.State.Status}} {{.State.Running}} {{.State.ExitCode}}
+   *
+   * <p>예상 출력 예: - "running true 0" - "exited false 0" - "exited false 137"
+   *
+   * <p>주의: - 컨테이너가 없거나 inspect 실패 시 exitCode != 0 또는 output이 비어서 missing() 반환 - 무한 대기 방지를 위해 5초
+   * 타임아웃을 둠
+   */
+  private DockerInspectState inspectContainer(String containerName)
+      throws IOException, InterruptedException {
+
+    ProcessBuilder pb =
+        new ProcessBuilder(
+            "docker",
+            "inspect",
+            "-f",
+            "{{.State.Status}} {{.State.Running}} {{.State.ExitCode}}",
+            containerName);
+
+    // stderr를 stdout으로 합쳐서 한 스트림으로 읽기(에러 메시지도 함께 받음)
+    pb.redirectErrorStream(true);
+
+    Process p = pb.start();
+
+    // inspect 출력은 1줄이면 충분하므로 readLine()만 수행
+    String output;
+    try (BufferedReader br = new BufferedReader(new InputStreamReader(p.getInputStream()))) {
+      output = br.readLine();
+    }
+
+    // 무한대기 방지: 5초 내에 종료되지 않으면 강제 종료
+    boolean finished = p.waitFor(5, TimeUnit.SECONDS);
+    if (!finished) {
+      p.destroyForcibly();
+      throw new IOException("docker inspect timeout");
+    }
+
+    // docker inspect 자체의 프로세스 exit code
+    int code = p.exitValue();
+
+    // 실패(코드 !=0) 또는 출력이 없으면 "컨테이너 없음"으로 간주
+    if (code != 0 || output == null || output.isBlank()) {
+      return DockerInspectState.missing();
+    }
+
+    // "status running exitCode" 형태로 split
+    String[] parts = output.trim().split("\\s+");
+
+    // status: running/exited/dead 등
+    String status = parts.length > 0 ? parts[0] : "unknown";
+
+    // running: true/false
+    boolean running = parts.length > 1 && Boolean.parseBoolean(parts[1]);
+
+    // exitCode: 정수 파싱(파싱 실패하면 null)
+    Integer exitCode = null;
+    if (parts.length > 2) {
+      try {
+        exitCode = Integer.parseInt(parts[2]);
+      } catch (Exception ignore) {
+        // ignore
+      }
+    }
+
+    return new DockerInspectState(true, running, exitCode, status);
+  }
+
+  /**
+   * docker inspect 결과를 담는 레코드.
+   *
+   * <p>exists: - true : docker inspect 성공 (컨테이너 존재) - false : 컨테이너 없음(또는 inspect 실패를 missing으로 간주)
+   */
+  private record DockerInspectState(
+      boolean exists, boolean running, Integer exitCode, String status) {
+    static DockerInspectState missing() {
+      return new DockerInspectState(false, false, null, "missing");
+    }
+  }
+
+  // ============================================================================================
+  // 컨테이너가 "없을 때" 파일 기반으로 완료/미완료를 판정하는 로직
+  // ============================================================================================
+
+  /**
+   * 컨테이너가 없을 때(responseDir 산출물만 남아있는 상태) 완료 여부를 파일 기반으로 판정합니다.
+   *
+   * <p>판정 규칙(보수적으로 설계): 1) total_epoch가 paramsJson에 있어야 함 (없으면 완료 판단 불가) 2) val.csv 존재 + 헤더 제외 라인 수
+   * >= total_epoch 이어야 함 3) *.pth 파일이 total_epoch 이상 존재하거나, best*.pth(또는 *best*.pth)가 존재해야 함
+   *
+   * <p>왜 이렇게? - 어떤 학습은 epoch마다 pth를 남기고 - 어떤 학습은 best만 남기기도 해서 "pthCount >= total_epoch"만 쓰면 정상 종료를
+   * 실패로 오판할 수 있음.
+   */
+  private OutputResult probeOutputs(ModelTrainJobDto job) {
+    try {
+
+      log.info(
+          "[RECOVERY] probeOutputs start. jobId={}, modelId={}", job.getId(), job.getModelId());
+
+      // 1) 출력 디렉토리 확인
+      Path outDir = resolveOutputDir(job);
+      if (outDir == null || !Files.isDirectory(outDir)) {
+        log.warn("[RECOVERY] output directory missing. jobId={}, path={}", job.getId(), outDir);
+        return new OutputResult(false, "output-dir-missing");
+      }
+
+      log.info("[RECOVERY] output directory found. jobId={}, path={}", job.getId(), outDir);
+
+      // 2) totalEpoch 확인
+      Integer totalEpoch = extractTotalEpoch(job).orElse(null);
+      if (totalEpoch == null || totalEpoch <= 0) {
+        log.warn(
+            "[RECOVERY] totalEpoch missing or invalid. jobId={}, totalEpoch={}",
+            job.getId(),
+            totalEpoch);
+        return new OutputResult(false, "total-epoch-missing");
+      }
+
+      log.info("[RECOVERY] totalEpoch={}. jobId={}", totalEpoch, job.getId());
+
+      // 3) val.csv 존재 확인
+      Path valCsv = outDir.resolve("val.csv");
+      if (!Files.exists(valCsv)) {
+        log.warn("[RECOVERY] val.csv missing. jobId={}, path={}", job.getId(), valCsv);
+        return new OutputResult(false, "val.csv-missing");
+      }
+
+      // 4) val.csv 라인 수 확인
+      long lines = countNonHeaderLines(valCsv);
+
+      log.info(
+          "[RECOVERY] val.csv lines counted. jobId={}, lines={}, expected={}",
+          job.getId(),
+          lines,
+          totalEpoch);
+
+      // 5) 완료 판정
+      if (lines == totalEpoch) {
+        log.info("[RECOVERY] outputs look COMPLETE. jobId={}", job.getId());
+        return new OutputResult(true, "ok");
+      }
+
+      log.warn(
+          "[RECOVERY] val.csv line mismatch. jobId={}, lines={}, expected={}",
+          job.getId(),
+          lines,
+          totalEpoch);
+
+      return new OutputResult(
+          false, "val.csv-lines-mismatch lines=" + lines + " expected=" + totalEpoch);
+
+    } catch (Exception e) {
+
+      log.error("[RECOVERY] probeOutputs error. jobId={}", job.getId(), e);
+
+      return new OutputResult(false, "probe-error");
+    }
+  }
+
+  /**
+   * responseDir 아래에서 job 산출물 디렉토리를 찾습니다.
+   *
+   * <p>가장 중요한 커스터마이징 포인트: - 실제 운영 환경에서 산출물이 어떤 경로 규칙으로 저장되는지에 따라 여기만 수정하면 됩니다.
+   *
+   * <p>현재 기본 탐색 순서: 1) {responseDir}/{jobId} 2) {responseDir}/{modelId} 3)
+   * {responseDir}/{containerName} 4) 마지막 fallback: responseDir 자체
+   *
+   * <p>추천: - 여러분 규칙이 "{responseDir}/{modelId}/{jobId}" 같은 형태라면 base.resolve(modelId).resolve(jobId)
+   * 형태를 1순위로 두세요.
+   */
+  private Path resolveOutputDir(ModelTrainJobDto job) {
+    ModelTrainMngDto.Basic model = modelTrainMngCoreService.findModelById(job.getModelId());
+
+    Path base = Paths.get(responseDir, model.getUuid().toString(), "metrics");
+
+    return Files.isDirectory(base) ? base : null;
+  }
+
+  /**
+   * paramsJson에서 total_epoch 값을 추출합니다.
+   *
+   * <p>키 후보: - "total_epoch" (snake_case) - "totalEpoch" (camelCase)
+   *
+   * <p>예: paramsJson = {"jobType":"TRAIN","total_epoch":50,...}
+   */
+  private Optional<Integer> extractTotalEpoch(ModelTrainJobDto job) {
+    Map<String, Object> params = job.getParamsJson();
+    if (params == null) return Optional.empty();
+
+    Object v = params.get("total_epoch");
+    if (v == null) v = params.get("totalEpoch");
+    if (v == null) return Optional.empty();
+
+    try {
+      return Optional.of(Integer.parseInt(String.valueOf(v)));
+    } catch (Exception ignore) {
+      return Optional.empty();
+    }
+  }
+
+  /**
+   * CSV 파일에서 "헤더(첫 줄)"를 제외한 라인 수를 계산합니다.
+   *
+   * <p>가정: - val.csv 첫 줄은 헤더 - 이후 라인들이 epoch별 기록(또는 유사한 누적 기록)
+   *
+   * <p>주의: - 파일 인코딩은 UTF-8로 가정 - 빈 줄은 제외
+   */
+  private long countNonHeaderLines(Path csv) throws IOException {
+    try (Stream<String> lines = Files.lines(csv, StandardCharsets.UTF_8)) {
+      return lines.skip(1).filter(s -> s != null && !s.isBlank()).count();
+    }
+  }
+
+  /**
+   * 디렉토리에서 glob 패턴에 맞는 파일 수를 셉니다.
+   *
+   * <p>예: - "*.pth" - "best*.pth"
+   */
+  private long countFilesByGlob(Path dir, String glob) throws IOException {
+    try (DirectoryStream<Path> ds = Files.newDirectoryStream(dir, glob)) {
+      long cnt = 0;
+      for (Path p : ds) {
+        if (Files.isRegularFile(p)) cnt++;
+      }
+      return cnt;
+    }
+  }
+
+  /** 디렉토리에서 glob 패턴에 맞는 파일이 "하나라도" 존재하는지 체크합니다. */
+  private boolean existsByGlob(Path dir, String glob) throws IOException {
+    try (DirectoryStream<Path> ds = Files.newDirectoryStream(dir, glob)) {
+      return ds.iterator().hasNext();
+    }
+  }
+
+  // ============================================================================================
+  // probeOutputs() 결과 객체
+  // ============================================================================================
+
+  /**
+   * 컨테이너가 없을 때(responseDir 기반) 완료 여부 판정 결과.
+   *
+   * <p>completed: - true : 산출물이 완료로 보임(성공 처리 가능) - false : 산출물이 부족/불명확(실패 또는 유예 판단)
+   *
+   * <p>reason: - 실패/미완료 사유(로그/DB 메시지로 남기기 용도)
+   */
+  private static final class OutputResult {
+
+    private final boolean completed;
+    private final String reason;
+
+    private OutputResult(boolean completed, String reason) {
+      this.completed = completed;
+      this.reason = reason;
+    }
+
+    boolean completed() {
+      return completed;
+    }
+
+    String reason() {
+      return reason;
+    }
+  }
+}

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

@@ -48,20 +48,8 @@ public class ModelTestMetricsJobService {
   @Value("${file.pt-path}")
   private String ptPathDir;
 
-  /**
-   * 실행중인 profile
-   *
-   * @return
-   */
-  private boolean isLocalProfile() {
-    return "local".equalsIgnoreCase(profile);
-  }
-
-  //  @Scheduled(cron = "0 * * * * *")
-  public void findTestValidMetricCsvFiles() throws IOException {
-    //    if (isLocalProfile()) {
-    //      return;
-    //    }
+  /** 결과 csv 파일 정보 등록 */
+  public void findTestValidMetricCsvFiles() {
 
     List<ResponsePathDto> modelIds =
         modelTestMetricsJobCoreService.getTestMetricSaveNotYetModelIds();

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

@@ -36,20 +36,8 @@ public class ModelTrainMetricsJobService {
   @Value("${train.docker.responseDir}")
   private String responseDir;
 
-  /**
-   * 실행중인 profile
-   *
-   * @return
-   */
-  private boolean isLocalProfile() {
-    return "local".equalsIgnoreCase(profile);
-  }
-
-  // @Scheduled(cron = "0 * * * * *")
+  /** 결과 csv 파일 정보 등록 */
   public void findTrainValidMetricCsvFiles() {
-    //    if (isLocalProfile()) {
-    //      return;
-    //    }
 
     List<ResponsePathDto> modelIds =
         modelTrainMetricsJobCoreService.getTrainMetricSaveNotYetModelIds();
@@ -96,18 +84,35 @@ public class ModelTrainMetricsJobService {
         for (CSVRecord record : parser) {
 
           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"));
+
+          float aAcc = parseFloatSafe(record.get("aAcc"));
+          float mFscore = parseFloatSafe(record.get("mFscore"));
+          float mPrecision = parseFloatSafe(record.get("mPrecision"));
+          float mRecall = parseFloatSafe(record.get("mRecall"));
+          float mIoU = parseFloatSafe(record.get("mIoU"));
+          float mAcc = parseFloatSafe(record.get("mAcc"));
+
+          float changed_fscore = parseFloatSafe(record.get("changed_fscore"));
+          float changed_precision = parseFloatSafe(record.get("changed_precision"));
+          float changed_recall = parseFloatSafe(record.get("changed_recall"));
+
+          float unchanged_fscore = parseFloatSafe(record.get("unchanged_fscore"));
+          float unchanged_precision = parseFloatSafe(record.get("unchanged_precision"));
+          float unchanged_recall = parseFloatSafe(record.get("unchanged_recall"));
+          //          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"));
 
           batchArgs.add(
               new Object[] {
@@ -165,4 +170,23 @@ public class ModelTrainMetricsJobService {
           modelInfo.getModelId(), "step1");
     }
   }
+
+  private Float parseFloatSafe(String value) {
+    try {
+      if (value == null) return null;
+
+      value = value.trim();
+
+      if (value.isEmpty()) return null;
+
+      if (value.equalsIgnoreCase("nan")) return null;
+
+      float f = Float.parseFloat(value);
+
+      return Float.isNaN(f) ? null : f;
+
+    } catch (Exception e) {
+      return null;
+    }
+  }
 }

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

@@ -23,6 +23,14 @@ public class TestJobService {
   private final ApplicationEventPublisher eventPublisher;
   private final DataSetCountersService dataSetCounters;
 
+  /**
+   * 실행 예약 (QUEUE 등록)
+   *
+   * @param modelId
+   * @param uuid
+   * @param epoch
+   * @return
+   */
   @Transactional
   public Long enqueue(Long modelId, UUID uuid, int epoch) {
 
@@ -51,13 +59,18 @@ public class TestJobService {
         modelTrainJobCoreService.createQueuedJob(
             modelId, nextAttemptNo, params, ZonedDateTime.now());
 
-    // step2 시작으로 마킹
-    modelTrainMngCoreService.markStep2InProgress(modelId, jobId);
+    // test training run 테이블에 적재하기
+    modelTrainJobCoreService.insertModelTestTrainingRun(modelId, jobId, epoch);
 
     eventPublisher.publishEvent(new ModelTrainJobQueuedEvent(jobId));
     return jobId;
   }
 
+  /**
+   * 취소
+   *
+   * @param modelId
+   */
   @Transactional
   public void cancel(Long modelId) {
 

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

@@ -1,5 +1,6 @@
 package com.kamco.cd.training.train.service;
 
+import com.kamco.cd.training.train.dto.ModelTrainLinkDto;
 import java.io.IOException;
 import java.nio.file.*;
 import java.util.List;
@@ -19,9 +20,96 @@ public class TmpDatasetService {
   @Value("${train.docker.basePath}")
   private String trainBaseDir;
 
+  /**
+   * train, val, test 폴더별로 link
+   *
+   * @param uid 임시폴더 uuid
+   * @param type train, val, test
+   * @param links tif pull path
+   * @return
+   * @throws IOException
+   */
+  public void buildTmpDatasetHardlink(String uid, String type, List<ModelTrainLinkDto> links)
+      throws IOException {
+
+    if (links == null || links.isEmpty()) {
+      throw new IOException("links is empty");
+    }
+
+    Path tmp = Path.of(trainBaseDir, "tmp", uid);
+
+    long linksMade = 0;
+
+    for (ModelTrainLinkDto dto : links) {
+
+      if (type == null) {
+        log.warn("SKIP - trainType null: {}", dto);
+        continue;
+      }
+
+      // type별 디렉토리 생성
+      Files.createDirectories(tmp.resolve(type).resolve("input1"));
+      Files.createDirectories(tmp.resolve(type).resolve("input2"));
+      Files.createDirectories(tmp.resolve(type).resolve("label"));
+      Files.createDirectories(tmp.resolve(type).resolve("label-json"));
+
+      // comparePath → input1
+      linksMade += link(tmp, type, "input1", dto.getComparePath());
+
+      // targetPath → input2
+      linksMade += link(tmp, type, "input2", dto.getTargetPath());
+
+      // labelPath → label
+      linksMade += link(tmp, type, "label", dto.getLabelPath());
+
+      // geoJsonPath -> label-json
+      linksMade += link(tmp, type, "label-json", dto.getGeoJsonPath());
+    }
+
+    if (linksMade == 0) {
+      throw new IOException("No symlinks created.");
+    }
+
+    log.info("tmp dataset created: {}, linksMade={}", tmp, linksMade);
+  }
+
+  private long link(Path tmp, String type, String part, String fullPath) throws IOException {
+    if (fullPath == null || fullPath.isBlank()) return 0;
+
+    Path src = Path.of(fullPath);
+
+    if (!Files.isRegularFile(src)) {
+      log.warn("SKIP (not file): {}", src);
+      return 0;
+    }
+
+    String fileName = src.getFileName().toString();
+    Path dst = tmp.resolve(type).resolve(part).resolve(fileName);
+
+    Files.createDirectories(dst.getParent());
+
+    if (Files.exists(dst) || Files.isSymbolicLink(dst)) {
+      Files.delete(dst);
+    }
+
+    Files.createSymbolicLink(dst, src);
+    log.info("symlink created: {} -> {}", dst, src);
+
+    return 1;
+  }
+
+  // TODO 미사용시작
+  /**
+   * request 전체 폴더 link
+   *
+   * @param uid
+   * @param datasetUids
+   * @return
+   * @throws IOException
+   */
   public String buildTmpDatasetSymlink(String uid, List<String> datasetUids) throws IOException {
 
-    log.info("========== buildTmpDatasetHardlink START ==========");
+    log.info("========== buildTmpDatasetSymlink START ==========");
     log.info("uid={}", uid);
     log.info("datasetUids={}", datasetUids);
     log.info("requestDir(raw)={}", requestDir);
@@ -33,7 +121,7 @@ public class TmpDatasetService {
     log.info("BASE exists? {}", Files.isDirectory(BASE));
     log.info("tmp={}", tmp);
 
-    long noDir = 0, scannedDirs = 0, regularFiles = 0, hardlinksMade = 0;
+    long noDir = 0, scannedDirs = 0, regularFiles = 0, symlinksMade = 0;
 
     // tmp 디렉토리 준비
     for (String type : List.of("train", "val", "test")) {
@@ -44,26 +132,7 @@ public class TmpDatasetService {
       }
     }
 
-    // 하드링크는 "같은 파일시스템"에서만 가능하므로 BASE/tmp가 같은 FS인지 미리 확인(권장)
-    try {
-      var baseStore = Files.getFileStore(BASE);
-      var tmpStore = Files.getFileStore(tmp.getParent()); // BASE/tmp
-      if (!baseStore.name().equals(tmpStore.name()) || !baseStore.type().equals(tmpStore.type())) {
-        throw new IOException(
-            "Hardlink requires same filesystem. baseStore="
-                + baseStore.name()
-                + "("
-                + baseStore.type()
-                + "), tmpStore="
-                + tmpStore.name()
-                + "("
-                + tmpStore.type()
-                + ")");
-      }
-    } catch (Exception e) {
-      // FileStore 비교가 환경마다 애매할 수 있어서, 여기서는 경고만 주고 실제 createLink에서 최종 판단하게 둘 수도 있음.
-      log.warn("FileStore check skipped/failed (will rely on createLink): {}", e.toString());
-    }
+    // 심볼릭 링크는 파일시스템이 달라도 작동하므로 FileStore 체크 불필요
 
     for (String id : datasetUids) {
       Path srcRoot = BASE.resolve(id);
@@ -101,13 +170,12 @@ public class TmpDatasetService {
               }
 
               try {
-                // 하드링크 생성 (dst가 새 파일로 생기지만 inode는 f와 동일)
-                Files.createLink(dst, f);
-                hardlinksMade++;
-                log.debug("created hardlink: {} => {}", dst, f);
+                // 심볼릭 링크 생성 (파일시스템이 달라도 작동)
+                Files.createSymbolicLink(dst, f);
+                symlinksMade++;
+                log.debug("created symlink: {} => {}", dst, f);
               } catch (IOException e) {
-                // 여기서 바로 실패시키면 “tmp는 만들었는데 내용은 0개” 같은 상태를 방지할 수 있음
-                log.error("FAILED create hardlink: {} => {}", dst, f, e);
+                log.error("FAILED create symlink: {} => {}", dst, f, e);
                 throw e;
               }
             }
@@ -116,9 +184,9 @@ public class TmpDatasetService {
       }
     }
 
-    if (hardlinksMade == 0) {
+    if (symlinksMade == 0) {
       throw new IOException(
-          "No hardlinks created. regularFiles="
+          "No symlinks created. regularFiles="
               + regularFiles
               + ", scannedDirs="
               + scannedDirs
@@ -128,11 +196,11 @@ public class TmpDatasetService {
 
     log.info("tmp dataset created: {}", tmp);
     log.info(
-        "summary: scannedDirs={}, noDir={}, regularFiles={}, hardlinksMade={}",
+        "summary: scannedDirs={}, noDir={}, regularFiles={}, symlinksMade={}",
         scannedDirs,
         noDir,
         regularFiles,
-        hardlinksMade);
+        symlinksMade);
 
     return uid;
   }
@@ -143,4 +211,5 @@ public class TmpDatasetService {
     }
     return Paths.get(p).toAbsolutePath().normalize();
   }
+  // TODO 미사용 끝
 }

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

@@ -7,6 +7,7 @@ import com.kamco.cd.training.postgres.core.ModelTrainJobCoreService;
 import com.kamco.cd.training.postgres.core.ModelTrainMngCoreService;
 import com.kamco.cd.training.train.dto.ModelTrainJobDto;
 import com.kamco.cd.training.train.dto.ModelTrainJobQueuedEvent;
+import com.kamco.cd.training.train.dto.ModelTrainLinkDto;
 import com.kamco.cd.training.train.dto.TrainRunRequest;
 import java.io.IOException;
 import java.nio.file.Files;
@@ -46,7 +47,12 @@ public class TrainJobService {
     return modelTrainMngCoreService.findModelIdByUuid(uuid);
   }
 
-  /** 실행 예약 (QUEUE 등록) */
+  /**
+   * 실행 예약 (QUEUE 등록)
+   *
+   * @param modelId
+   * @return
+   */
   @Transactional
   public Long enqueue(Long modelId) {
 
@@ -138,6 +144,13 @@ public class TrainJobService {
     modelTrainMngCoreService.markStopped(modelId);
   }
 
+  /**
+   * 학습 이어하기
+   *
+   * @param modelId 모델 id
+   * @param mode NONE 새로 시작, REQUIRE 이어하기
+   * @return
+   */
   private Long createNextAttempt(Long modelId, ResumeMode mode) {
 
     ModelTrainMngDto.Basic master = modelTrainMngCoreService.findModelById(modelId);
@@ -188,6 +201,12 @@ public class TrainJobService {
     REQUIRE // 이어하기
   }
 
+  /**
+   * 이어하기 체크포인트 탐지해서 resumeFrom 세팅
+   *
+   * @param paramsJson
+   * @return
+   */
   public String findResumeFromOrNull(Map<String, Object> paramsJson) {
     if (paramsJson == null) return null;
 
@@ -229,21 +248,49 @@ public class TrainJobService {
     }
   }
 
+  /**
+   * 학습에 필요한 데이터셋 파일을 임시폴더 하나에 합치기
+   *
+   * @param modelUuid
+   * @return
+   */
   @Transactional
   public UUID createTmpFile(UUID modelUuid) {
     UUID tmpUuid = UUID.randomUUID();
     String raw = tmpUuid.toString().toUpperCase().replace("-", "");
 
-    // MODELID 가져오기
+    // model id 가져오기
     Long modelId = modelTrainMngCoreService.findModelIdByUuid(modelUuid);
+    // model 에 연결된 dataset id 가져오기
     List<Long> datasetIds = modelTrainMngCoreService.findModelDatasetMapp(modelId);
     List<String> uids = modelTrainMngCoreService.findDatasetUid(datasetIds);
 
     try {
       // 데이터셋 심볼링크 생성
-      String pathUid = tmpDatasetService.buildTmpDatasetSymlink(raw, uids);
+      //      String pathUid = tmpDatasetService.buildTmpDatasetSymlink(raw, uids);
+      // train path 모델 클래스별 조회
+      List<ModelTrainLinkDto> trainList = modelTrainMngCoreService.findDatasetTrainPath(modelId);
+      // validation path 모델 클래스별 조회
+      List<ModelTrainLinkDto> valList = modelTrainMngCoreService.findDatasetValPath(modelId);
+      // test path 모델 클래스별 조회
+      List<ModelTrainLinkDto> testList = modelTrainMngCoreService.findDatasetTestPath(modelId);
+
+      log.info(
+          "createTmpFile class list trainList = {} valList = {} testList = {}",
+          trainList.size(),
+          valList.size(),
+          testList.size());
+
+      // train 데이터셋 심볼링크 생성
+      tmpDatasetService.buildTmpDatasetHardlink(raw, "train", trainList);
+      // val 데이터셋 심볼링크 생성
+      tmpDatasetService.buildTmpDatasetHardlink(raw, "val", valList);
+      // test 데이터셋 심볼링크 생성
+      tmpDatasetService.buildTmpDatasetHardlink(raw, "test", testList);
+
       ModelTrainMngDto.UpdateReq updateReq = new ModelTrainMngDto.UpdateReq();
-      updateReq.setRequestPath(pathUid);
+      updateReq.setRequestPath(raw);
+
       // 학습모델을 수정한다.
       modelTrainMngCoreService.updateModelMaster(modelId, updateReq);
     } catch (IOException e) {
@@ -257,14 +304,8 @@ public class TrainJobService {
           e);
 
       // 런타임 예외로 래핑하되, 메시지에 핵심 정보 포함
-      throw new IllegalStateException(
-          "tmp dataset build failed: modelUuid="
-              + modelUuid
-              + ", modelId="
-              + modelId
-              + ", tmpRaw="
-              + raw,
-          e);
+      throw new CustomApiException(
+          "INTERNAL_SERVER_ERROR", HttpStatus.INTERNAL_SERVER_ERROR, "임시 데이터셋 생성에 실패했습니다.");
     }
     return modelUuid;
   }

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

@@ -17,6 +17,7 @@ import org.springframework.stereotype.Component;
 import org.springframework.transaction.event.TransactionPhase;
 import org.springframework.transaction.event.TransactionalEventListener;
 
+/** job 실행 */
 @Log4j2
 @Component
 @RequiredArgsConstructor
@@ -29,10 +30,12 @@ public class TrainJobWorker {
   private final DockerTrainService dockerTrainService;
   private final ObjectMapper objectMapper;
 
-  @Async
+  @Async("trainJobExecutor")
   @TransactionalEventListener(phase = TransactionPhase.AFTER_COMMIT)
   public void handle(ModelTrainJobQueuedEvent event) {
 
+    log.info("[JOB] thread={}, jobId={}", Thread.currentThread().getName(), event.getJobId());
+
     Long jobId = event.getJobId();
 
     ModelTrainJobDto job =
@@ -54,6 +57,8 @@ public class TrainJobWorker {
     String containerName =
         (isEval ? "eval-" : "train-") + jobId + "-" + params.get("uuid").toString().substring(0, 8);
 
+    String type = isEval ? "TEST" : "TRAIN";
+
     Integer totalEpoch = null;
     if (params.containsKey("totalEpoch")) {
       if (params.get("totalEpoch") != null) {
@@ -61,12 +66,15 @@ public class TrainJobWorker {
       }
     }
     log.info("[JOB] markRunning start jobId={}, containerName={}", jobId, containerName);
-    modelTrainJobCoreService.markRunning(jobId, containerName, null, "TRAIN_WORKER", totalEpoch);
+    // 실행 시작 처리
+    modelTrainJobCoreService.markRunning(
+        jobId, containerName, null, "TRAIN_WORKER", totalEpoch, type);
     log.info("[JOB] markRunning done jobId={}", jobId);
     try {
       TrainRunResult result;
 
       if (isEval) {
+        // step2 진행중 처리
         modelTrainMngCoreService.markStep2InProgress(modelId, jobId);
         String uuid = String.valueOf(params.get("uuid"));
         int epoch = (int) params.get("epoch");
@@ -79,12 +87,15 @@ public class TrainJobWorker {
         evalReq.setTimeoutSeconds(null);
         evalReq.setDatasetFolder(datasetFolder);
         evalReq.setOutputFolder(outputFolder);
+        log.info("[JOB] selected test epoch={}", epoch);
 
-        result = dockerTrainService.runEvalSync(evalReq, containerName);
-
+        // 도커 실행 후 로그 수집
+        result = dockerTrainService.runEvalSync(containerName, evalReq);
       } else {
+        // step1 진행중 처리
         modelTrainMngCoreService.markStep1InProgress(modelId, jobId);
         TrainRunRequest trainReq = toTrainRunRequest(params);
+        // 도커 실행 후 로그 수집
         result = dockerTrainService.runTrainSync(trainReq, containerName);
       }
 
@@ -97,26 +108,54 @@ public class TrainJobWorker {
         return;
       }
 
+      /**
+       * 0 정상 종료 SUCCESS 1~125 학습 코드 에러 FAILED 137 OOMKill FAILED 143 SIGTERM (stop) STOP -1 우리 내부
+       * 강제 중단 STOP
+       */
       if (result.getExitCode() == 0) {
+        // 성공 처리
         modelTrainJobCoreService.markSuccess(jobId, result.getExitCode());
 
         if (isEval) {
+          // step2 완료처리
           modelTrainMngCoreService.markStep2Success(modelId);
+          // 결과 csv 파일 정보 등록
           modelTestMetricsJobService.findTestValidMetricCsvFiles();
         } else {
           modelTrainMngCoreService.markStep1Success(modelId);
+          // 결과 csv 파일 정보 등록
           modelTrainMetricsJobService.findTrainValidMetricCsvFiles();
         }
 
       } else {
-        String failMsg = result.getStatus() + "\n" + result.getLogs();
-        modelTrainJobCoreService.markFailed(
-            jobId, result.getExitCode(), result.getStatus() + "\n" + result.getLogs());
 
-        if (isEval) {
-          modelTrainMngCoreService.markStep2Error(modelId, "exit=" + result.getExitCode());
+        String failMsg = result.getStatus() + "\n" + result.getLogs();
+        log.info("training fail exitCode={} Msg ={}", result.getExitCode(), failMsg);
+
+        if (result.getExitCode() == -1 || result.getExitCode() == 143) {
+          // 실패 처리
+          modelTrainJobCoreService.markPaused(
+              jobId, result.getExitCode(), result.getStatus() + "\n" + result.getLogs());
+
+          if (isEval) {
+            // 오류 정보 등록
+            modelTrainMngCoreService.markStep2Stop(modelId, "exit=" + result.getExitCode());
+          } else {
+            // 오류 정보 등록
+            modelTrainMngCoreService.markStep1Stop(modelId, "exit=" + result.getExitCode());
+          }
         } else {
-          modelTrainMngCoreService.markError(modelId, "exit=" + result.getExitCode());
+          // 실패 처리
+          modelTrainJobCoreService.markFailed(
+              jobId, result.getExitCode(), result.getStatus() + "\n" + result.getLogs());
+
+          if (isEval) {
+            // 오류 정보 등록
+            modelTrainMngCoreService.markStep2Error(modelId, "exit=" + result.getExitCode());
+          } else {
+            // 오류 정보 등록
+            modelTrainMngCoreService.markError(modelId, "exit=" + result.getExitCode());
+          }
         }
       }
 
@@ -124,8 +163,10 @@ public class TrainJobWorker {
       modelTrainJobCoreService.markFailed(jobId, null, e.getMessage());
 
       if ("EVAL".equals(params.get("jobType"))) {
+        // 오류 정보 등록
         modelTrainMngCoreService.markStep2Error(modelId, e.getMessage());
       } else {
+        // 오류 정보 등록
         modelTrainMngCoreService.markError(modelId, e.getMessage());
       }
     }

src/main/java/com/kamco/cd/training/upload/dto/UploadDto.java

@@ -83,6 +83,7 @@ public class UploadDto {
     private UUID uuid;
   }
 
+  // TODO 미사용시작
   @Schema(name = "UploadCompleteReq", description = "업로드 완료 요청")
   @Getter
   @Setter
@@ -126,12 +127,15 @@ public class UploadDto {
     @Schema(description = "상태", example = "UPLOADING")
     private String status;
 
+    // TODO 미사용시작
     @Schema(description = "총 청크 수", example = "100")
     private Integer totalChunks;
 
     @Schema(description = "업로드된 청크 수", example = "50")
     private Integer uploadedChunks;
 
+    // TODO 미사용 끝
+
     @Schema(description = "진행률 (%)", example = "50.0")
     private Double progress;
 
@@ -139,6 +143,8 @@ public class UploadDto {
     private String errorMessage;
   }
 
+  // TODO 미사용 끝
+
   @Schema(name = "UploadAddReq", description = "업로드 요청")
   @Getter
   @Setter