hyperparam_with_modeltype

Reviewed-on: #55

build.gradle

@@ -3,6 +3,7 @@ plugins {
   id 'org.springframework.boot' version '3.5.7'
   id 'io.spring.dependency-management' version '1.1.7'
   id 'com.diffplug.spotless' version '6.25.0'
+  id 'idea'
 }
 
 group = 'com.kamco.cd'
@@ -21,11 +22,23 @@ configurations {
   }
 }
 
+// QueryDSL 생성된 소스 디렉토리 정의
+def generatedSourcesDir = file("$buildDir/generated/sources/annotationProcessor/java/main")
+
 repositories {
   mavenCentral()
   maven { url "https://repo.osgeo.org/repository/release/" }
 }
 
+// Gradle이 생성된 소스를 컴파일 경로에 포함하도록 설정
+sourceSets {
+  main {
+    java {
+      srcDirs += generatedSourcesDir
+    }
+  }
+}
+
 dependencies {
   implementation 'org.springframework.boot:spring-boot-starter-data-jpa'
   implementation 'org.springframework.boot:spring-boot-starter-web'
@@ -83,6 +96,23 @@ dependencies {
   implementation 'io.hypersistence:hypersistence-utils-hibernate-63:3.7.0'
   implementation 'org.reflections:reflections:0.10.2'
 
+  implementation 'com.jcraft:jsch:0.1.55'
+  implementation 'org.apache.commons:commons-csv:1.10.0'
+}
+
+// IntelliJ가 생성된 소스를 인식하도록 설정
+idea {
+  module {
+    // 소스 디렉토리로 인식
+    sourceDirs += generatedSourcesDir
+
+    // Generated Sources Root로 마킹 (IntelliJ에서 특별 처리)
+    generatedSourceDirs += generatedSourcesDir
+
+    // 소스 및 Javadoc 다운로드
+    downloadJavadoc = true
+    downloadSources = true
+  }
 }
 
 configurations.configureEach {
@@ -93,6 +123,21 @@ tasks.named('test') {
   useJUnitPlatform()
 }
 
+// 컴파일 전 생성된 소스 디렉토리 생성 보장
+tasks.named('compileJava') {
+  doFirst {
+    generatedSourcesDir.mkdirs()
+  }
+}
+
+// 생성된 소스 정리 태스크
+tasks.register('cleanGeneratedSources', Delete) {
+  delete generatedSourcesDir
+}
+
+tasks.named('clean') {
+  dependsOn 'cleanGeneratedSources'
+}
 
 bootJar {
   archiveFileName = 'ROOT.jar'

docker-compose-dev.yml

@@ -14,6 +14,7 @@ services:
       - /mnt/nfs_share/images:/app/original-images
       - /mnt/nfs_share/model_output:/app/model-outputs
       - /mnt/nfs_share/train_dataset:/app/train-dataset
+      - /home/kcomu/data:/home/kcomu/data
     networks:
       - kamco-cds
     restart: unless-stopped

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

@@ -2,8 +2,10 @@ 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/common/dto/HyperParam.java

@@ -0,0 +1,159 @@
+package com.kamco.cd.training.common.dto;
+
+import com.kamco.cd.training.common.enums.ModelType;
+import io.swagger.v3.oas.annotations.media.Schema;
+import lombok.AllArgsConstructor;
+import lombok.Getter;
+import lombok.NoArgsConstructor;
+import lombok.Setter;
+
+@Getter
+@Setter
+@AllArgsConstructor
+@NoArgsConstructor
+public class HyperParam {
+  // -------------------------
+  // Important
+  // -------------------------
+
+  @Schema(description = "모델", example = "large")
+  private ModelType model; // backbone
+
+  @Schema(description = "백본 네트워크", example = "large")
+  private String backbone; // backbone
+
+  @Schema(description = "입력 이미지 크기(H,W)", example = "512,512")
+  private String inputSize; // input_size
+
+  @Schema(description = "크롭 크기(H,W 또는 단일값)", example = "256,256")
+  private String cropSize; // crop_size
+
+  @Schema(description = "배치 크기(Per GPU)", example = "16")
+  private Integer batchSize; // batch_size
+
+  // -------------------------
+  // Data
+  // -------------------------
+  @Schema(description = "Train dataloader workers", example = "16")
+  private Integer trainNumWorkers; // train_num_workers
+
+  @Schema(description = "Val dataloader workers", example = "8")
+  private Integer valNumWorkers; // val_num_workers
+
+  @Schema(description = "Test dataloader workers", example = "8")
+  private Integer testNumWorkers; // test_num_workers
+
+  @Schema(description = "Train shuffle 여부", example = "true")
+  private Boolean trainShuffle; // train_shuffle
+
+  @Schema(description = "Train persistent workers 여부", example = "true")
+  private Boolean trainPersistent; // train_persistent
+
+  @Schema(description = "Val persistent workers 여부", example = "true")
+  private Boolean valPersistent; // val_persistent
+
+  // -------------------------
+  // Model Architecture
+  // -------------------------
+  @Schema(description = "Drop Path 비율", example = "0.3")
+  private Double dropPathRate; // drop_path_rate
+
+  @Schema(description = "Freeze 단계(-1:None)", example = "-1")
+  private Integer frozenStages; // frozen_stages
+
+  @Schema(description = "Neck 결합 정책", example = "abs_diff")
+  private String neckPolicy; // neck_policy
+
+  @Schema(description = "디코더 채널 구성", example = "512,256,128,64")
+  private String decoderChannels; // decoder_channels
+
+  @Schema(description = "클래스별 가중치", example = "1,10")
+  private String classWeight; // class_weight
+
+  // -------------------------
+  // Loss & Optimization
+  // -------------------------
+  @Schema(description = "학습률", example = "0.00006")
+  private Double learningRate; // learning_rate
+
+  @Schema(description = "Weight Decay", example = "0.05")
+  private Double weightDecay; // weight_decay
+
+  @Schema(description = "Layer Decay Rate", example = "0.9")
+  private Double layerDecayRate; // layer_decay_rate
+
+  @Schema(description = "DDP unused params 탐색 여부", example = "true")
+  private Boolean ddpFindUnusedParams; // ddp_find_unused_params
+
+  @Schema(description = "Loss 계산 제외 인덱스", example = "255")
+  private Integer ignoreIndex; // ignore_index
+
+  @Schema(description = "레이어 깊이", example = "24")
+  private Integer numLayers; // num_layers
+
+  // -------------------------
+  // Evaluation
+  // -------------------------
+  @Schema(description = "평가 지표 목록", example = "mFscore,mIoU")
+  private String metrics; // metrics
+
+  @Schema(description = "Best 모델 선정 기준 지표", example = "changed_fscore")
+  private String saveBest; // save_best
+
+  @Schema(description = "Best 모델 선정 규칙", example = "less")
+  private String saveBestRule; // save_best_rule
+
+  @Schema(description = "검증 수행 주기(Epoch)", example = "10")
+  private Integer valInterval; // val_interval
+
+  @Schema(description = "로그 기록 주기(Iteration)", example = "400")
+  private Integer logInterval; // log_interval
+
+  @Schema(description = "시각화 저장 주기(Epoch)", example = "1")
+  private Integer visInterval; // vis_interval
+
+  // -------------------------
+  // Augmentation
+  // -------------------------
+  @Schema(description = "회전 적용 확률", example = "0.5")
+  private Double rotProb; // rot_prob
+
+  @Schema(description = "회전 각도 범위(Min,Max)", example = "-20,20")
+  private String rotDegree; // rot_degree
+
+  @Schema(description = "반전 적용 확률", example = "0.5")
+  private Double flipProb; // flip_prob
+
+  @Schema(description = "채널 교환 확률", example = "0.5")
+  private Double exchangeProb; // exchange_prob
+
+  @Schema(description = "밝기 변화량", example = "10")
+  private Integer brightnessDelta; // brightness_delta
+
+  @Schema(description = "대비 범위(Min,Max)", example = "0.8,1.2")
+  private String contrastRange; // contrast_range
+
+  @Schema(description = "채도 범위(Min,Max)", example = "0.8,1.2")
+  private String saturationRange; // saturation_range
+
+  @Schema(description = "색조 변화량", example = "10")
+  private Integer hueDelta; // hue_delta
+
+  // -------------------------
+  // Hardware
+  // -------------------------
+  @Schema(description = "사용 GPU 개수", example = "4")
+  private Integer gpuCnt; // gpu_cnt
+
+  @Schema(description = "사용 GPU ID 목록", example = "0,1,2,3")
+  private String gpuIds; // gpu_ids
+
+  @Schema(description = "분산학습 마스터 포트", example = "1122")
+  private Integer masterPort; // master_port
+
+  // -------------------------
+  // Memo
+  // -------------------------
+  @Schema(description = "메모", example = "하이퍼파라미터 신규등록")
+  private String memo; // memo
+}

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

@@ -0,0 +1,32 @@
+package com.kamco.cd.training.common.enums;
+
+import com.kamco.cd.training.common.utils.enums.CodeExpose;
+import com.kamco.cd.training.common.utils.enums.EnumType;
+import java.util.Arrays;
+import lombok.AllArgsConstructor;
+import lombok.Getter;
+
+@CodeExpose
+@Getter
+@AllArgsConstructor
+public enum ModelType implements EnumType {
+  G1("G1"),
+  G2("G2"),
+  G3("G3");
+
+  private String desc;
+
+  public static ModelType getValueData(String modelNo) {
+    return Arrays.stream(ModelType.values()).filter(m -> m.getId().equals(modelNo)).findFirst().orElse(G1);
+  }
+
+  @Override
+  public String getId() {
+    return name();
+  }
+
+  @Override
+  public String getText() {
+    return desc;
+  }
+}

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

@@ -0,0 +1,50 @@
+package com.kamco.cd.training.common.service;
+
+import java.nio.file.FileStore;
+import java.nio.file.Files;
+import java.nio.file.Path;
+
+public class FormatStorage {
+
+  private FormatStorage() {}
+
+  /** 디스크 사용량 조회 */
+  public static DiskUsage getDiskUsage(Path path) throws Exception {
+    FileStore store = Files.getFileStore(path);
+
+    long total = store.getTotalSpace();
+    long usable = store.getUsableSpace();
+
+    return new DiskUsage(path.toString(), total, usable);
+  }
+
+  /** 디스크 사용량 DTO */
+  public record DiskUsage(String path, long totalBytes, long usableBytes) {
+
+    public long usedBytes() {
+      return totalBytes - usableBytes;
+    }
+
+    public double usedPercent() {
+      return totalBytes == 0 ? 0.0 : (usedBytes() * 100.0) / totalBytes;
+    }
+
+    public String totalText() {
+      return formatStorageSize(totalBytes);
+    }
+
+    public String usableText() {
+      return formatStorageSize(usableBytes);
+    }
+
+    /** 저장공간을 사람이 읽기 좋은 단위로 변환 (GB / MB) */
+    private static String formatStorageSize(long bytes) {
+      double gb = bytes / 1024.0 / 1024 / 1024;
+      if (gb >= 1) {
+        return String.format("%.1f GB", gb);
+      }
+      double mb = bytes / 1024.0 / 1024;
+      return String.format("%.0f MB", mb);
+    }
+  }
+}

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

@@ -2,9 +2,15 @@ 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 io.swagger.v3.oas.annotations.media.Schema;
 import java.io.BufferedReader;
 import java.io.File;
+import java.io.FileInputStream;
+import java.io.FileOutputStream;
 import java.io.FileReader;
 import java.io.IOException;
 import java.io.InputStream;
@@ -21,17 +27,22 @@ import java.util.Arrays;
 import java.util.Comparator;
 import java.util.Date;
 import java.util.List;
+import java.util.Properties;
 import java.util.Set;
 import java.util.function.Predicate;
 import java.util.stream.Collectors;
 import java.util.stream.Stream;
+import java.util.zip.ZipEntry;
+import java.util.zip.ZipInputStream;
 import lombok.Getter;
+import lombok.extern.slf4j.Slf4j;
 import org.apache.commons.io.FilenameUtils;
 import org.geotools.coverage.grid.GridCoverage2D;
 import org.geotools.gce.geotiff.GeoTiffReader;
 import org.springframework.util.FileSystemUtils;
 import org.springframework.web.multipart.MultipartFile;
 
+@Slf4j
 public class FIleChecker {
 
   static SimpleDateFormat dttmFormat = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss");
@@ -492,16 +503,37 @@ public class FIleChecker {
 
   public static boolean multipartChunkSaveTo(
       MultipartFile mfile, String targetPath, int chunkIndex) {
-    File dest = new File(targetPath, String.valueOf(chunkIndex));
 
-    boolean fileUpload = true;
     try {
+      File dir = new File(targetPath);
+      log.info("targetPath={}", targetPath);
+      log.info("absolute targetPath={}", dir.getAbsolutePath());
+
+      if (!dir.exists()) {
+        dir.mkdirs();
+      }
+
+      File dest = new File(dir, String.valueOf(chunkIndex));
+      log.info("real save path = {}", dest.getAbsolutePath());
+
+      log.info("chunkIndex={}, uploadSize={}", chunkIndex, mfile.getSize());
+      log.info("savedSize={}", dest.length());
+      // ⭐ 핵심
+      if (dest.exists()) {
+        dest.delete();
+      }
+
+      log.info("after delete={}", dest.length());
       mfile.transferTo(dest);
+
+      log.info("after transfer size={}", dest.length());
+      log.info("after transfer exists={}", dest.exists());
+
+      return true;
     } catch (IOException e) {
+      log.error("chunk save error", e);
       return false;
     }
-
-    return true;
   }
 
   public static boolean deleteFolder(String path) {
@@ -680,4 +712,198 @@ public class FIleChecker {
       this.lastModified = lastModified;
     }
   }
+
+  public static void unzip(String fileName, String destDirectory) throws IOException {
+    String zipFilePath = destDirectory + File.separator + fileName;
+
+    // zip 이름으로 폴더 생성 (확장자 제거)
+    String folderName =
+        fileName.endsWith(".zip") ? fileName.substring(0, fileName.length() - 4) : fileName;
+
+    File destDir = new File(destDirectory, folderName);
+
+    if (!destDir.exists()) {
+      destDir.mkdirs();
+    }
+
+    try (ZipInputStream zis = new ZipInputStream(new FileInputStream(zipFilePath))) {
+      ZipEntry zipEntry = zis.getNextEntry();
+
+      while (zipEntry != null) {
+        File newFile = newFile(destDir, zipEntry);
+
+        if (zipEntry.isDirectory()) {
+          if (!newFile.isDirectory() && !newFile.mkdirs()) {
+            throw new IOException("디렉토리 생성 실패: " + newFile);
+          }
+
+        } else {
+
+          // 상위 디렉토리가 없는 경우 생성
+          File parent = newFile.getParentFile();
+          if (!parent.exists() && !parent.mkdirs()) {
+            throw new IOException("상위 디렉토리 생성 실패: " + parent);
+          }
+
+          // 실제 파일 쓰기
+          try (FileOutputStream fos = new FileOutputStream(newFile)) {
+            byte[] buffer = new byte[1024];
+            int len;
+            while ((len = zis.read(buffer)) > 0) {
+              fos.write(buffer, 0, len);
+            }
+          }
+        }
+        zipEntry = zis.getNextEntry();
+      }
+      zis.closeEntry();
+    }
+  }
+
+  public static File newFile(File destinationDir, ZipEntry zipEntry) throws IOException {
+    File destFile = new File(destinationDir, zipEntry.getName());
+
+    String destDirPath = destinationDir.getCanonicalPath();
+    String destFilePath = destFile.getCanonicalPath();
+
+    if (!destFilePath.startsWith(destDirPath + File.separator)) {
+      throw new IOException("엔트리가 대상 디렉토리를 벗어남: " + zipEntry.getName());
+    }
+
+    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<>();
+
+    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);
+
+      channel = (ChannelExec) session.openChannel("exec");
+      channel.setCommand(command);
+      channel.setInputStream(null);
+
+      InputStream in = channel.getInputStream();
+      channel.connect();
+
+      try (BufferedReader br = new BufferedReader(new InputStreamReader(in))) {
+        String line;
+        while ((line = br.readLine()) != null) {
+          result.add(line);
+        }
+      }
+
+      return result;
+
+    } catch (Exception e) {
+      throw new RuntimeException("remote command failed : " + command, e);
+
+    } finally {
+      if (channel != null) channel.disconnect();
+      if (session != null) session.disconnect();
+    }
+  }
 }

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

@@ -164,6 +164,7 @@ public class ApiResponseDto<T> {
     NOT_FOUND_USER_FOR_EMAIL("이메일로 유저를 찾을 수 없습니다."),
     NOT_FOUND_USER("사용자를 찾을 수 없습니다."),
     UNPROCESSABLE_ENTITY("이 데이터는 삭제할 수 없습니다."),
+    UNPROCESSABLE_ENTITY_UPDATE("이 데이터는 수정할 수 없습니다."),
     LOGIN_ID_NOT_FOUND("아이디를 잘못 입력하셨습니다."),
     LOGIN_PASSWORD_MISMATCH("비밀번호를 잘못 입력하셨습니다."),
     LOGIN_PASSWORD_EXCEEDED("비밀번호 오류 횟수를 초과하여 이용하실 수 없습니다.\n로그인 오류에 대해 관리자에게 문의하시기 바랍니다."),

src/main/java/com/kamco/cd/training/config/swagger/SwaggerConfig.java

@@ -1,4 +1,4 @@
-package com.kamco.cd.training.config;
+package com.kamco.cd.training.config.swagger;
 
 import io.swagger.v3.oas.annotations.enums.SecuritySchemeType;
 import io.swagger.v3.oas.annotations.security.SecurityScheme;

src/main/java/com/kamco/cd/training/config/swagger/SwaggerUiAutoAuthConfig.java

@@ -0,0 +1,97 @@
+package com.kamco.cd.training.config.swagger;
+
+import jakarta.servlet.http.HttpServletRequest;
+import java.nio.charset.StandardCharsets;
+import org.springdoc.core.properties.SwaggerUiConfigProperties;
+import org.springdoc.core.properties.SwaggerUiOAuthProperties;
+import org.springdoc.core.providers.ObjectMapperProvider;
+import org.springdoc.webmvc.ui.SwaggerIndexPageTransformer;
+import org.springdoc.webmvc.ui.SwaggerIndexTransformer;
+import org.springdoc.webmvc.ui.SwaggerWelcomeCommon;
+import org.springframework.context.annotation.Bean;
+import org.springframework.context.annotation.Configuration;
+import org.springframework.context.annotation.Primary;
+import org.springframework.context.annotation.Profile;
+import org.springframework.core.io.Resource;
+import org.springframework.web.servlet.resource.ResourceTransformerChain;
+import org.springframework.web.servlet.resource.TransformedResource;
+
+@Profile({"local", "dev"})
+@Configuration
+public class SwaggerUiAutoAuthConfig {
+
+  @Bean
+  @Primary
+  public SwaggerIndexTransformer swaggerIndexTransformer(
+      SwaggerUiConfigProperties swaggerUiConfigProperties,
+      SwaggerUiOAuthProperties swaggerUiOAuthProperties,
+      SwaggerWelcomeCommon swaggerWelcomeCommon,
+      ObjectMapperProvider objectMapperProvider) {
+
+    SwaggerIndexPageTransformer delegate =
+        new SwaggerIndexPageTransformer(
+            swaggerUiConfigProperties,
+            swaggerUiOAuthProperties,
+            swaggerWelcomeCommon,
+            objectMapperProvider);
+
+    return new SwaggerIndexTransformer() {
+      private static final String TOKEN_KEY = "SWAGGER_ACCESS_TOKEN";
+
+      @Override
+      public Resource transform(
+          HttpServletRequest request, Resource resource, ResourceTransformerChain chain) {
+        try {
+          // 1) springdoc 기본 변환 먼저 적용
+          Resource transformed = delegate.transform(request, resource, chain);
+
+          String html =
+              new String(transformed.getInputStream().readAllBytes(), StandardCharsets.UTF_8);
+
+          String loginPathContains = "/api/auth/signin";
+
+          String inject =
+              """
+              tagsSorter: (a, b) => {
+                      const TOP = '인증(Auth)';
+                      if (a === TOP && b !== TOP) return -1;
+                      if (b === TOP && a !== TOP) return 1;
+                      return a.localeCompare(b);
+                    },
+            requestInterceptor: (req) => {
+              const token = localStorage.getItem('%s');
+              if (token) {
+                req.headers = req.headers || {};
+                req.headers['Authorization'] = 'Bearer ' + token;
+              }
+              return req;
+            },
+            responseInterceptor: async (res) => {
+              try {
+                const isLogin = (res?.url?.includes('%s') && res?.status === 200);
+                if (isLogin) {
+                  const text = (typeof res.data === 'string') ? res.data : JSON.stringify(res.data);
+                  const json = JSON.parse(text);
+                  const token = json?.data?.accessToken;
+
+                  if (token) {
+                    localStorage.setItem('%s', token);
+                  }
+                }
+              } catch (e) {}
+              return res;
+            },
+          """
+                  .formatted(TOKEN_KEY, loginPathContains, TOKEN_KEY);
+
+          html = html.replace("SwaggerUIBundle({", "SwaggerUIBundle({\n" + inject);
+
+          return new TransformedResource(transformed, html.getBytes(StandardCharsets.UTF_8));
+        } catch (Exception e) {
+          // 실패 시 원본 반환(문서 깨짐 방지)
+          return resource;
+        }
+      }
+    };
+  }
+}

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

@@ -2,8 +2,9 @@ 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.SelectDataSet;
 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.DatasetService;
 import io.swagger.v3.oas.annotations.Operation;
 import io.swagger.v3.oas.annotations.Parameter;
@@ -16,7 +17,9 @@ import jakarta.validation.Valid;
 import java.util.List;
 import java.util.UUID;
 import lombok.RequiredArgsConstructor;
+import org.springframework.core.io.Resource;
 import org.springframework.data.domain.Page;
+import org.springframework.http.ResponseEntity;
 import org.springframework.web.bind.annotation.*;
 
 @Tag(name = "학습데이터 관리", description = "어드민 홈 > 학습데이터관리 > 전체데이터 API")
@@ -79,26 +82,6 @@ public class DatasetApiController {
     return ApiResponseDto.ok(datasetService.getDatasetDetail(uuid));
   }
 
-  @Operation(summary = "학습데이터 등록", description = "학습데이터 파일 업로드")
-  @ApiResponses(
-      value = {
-        @ApiResponse(
-            responseCode = "201",
-            description = "등록 성공",
-            content =
-                @Content(
-                    mediaType = "application/json",
-                    schema = @Schema(implementation = Long.class))),
-        @ApiResponse(responseCode = "400", description = "잘못된 요청 데이터", content = @Content),
-        @ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
-      })
-  @PostMapping("/register")
-  public ApiResponseDto<Long> registerDataset(
-      @RequestBody @Valid DatasetDto.RegisterReq registerReq) {
-    Long id = datasetService.registerDataset(registerReq);
-    return ApiResponseDto.createOK(id);
-  }
-
   @Operation(summary = "학습데이터 수정", description = "학습데이터 제목, 메모 수정")
   @ApiResponses(
       value = {
@@ -150,15 +133,11 @@ public class DatasetApiController {
       })
   @GetMapping("/obj-list")
   public ApiResponseDto<Page<DatasetObjDto.Basic>> searchDatasetObjectList(
-      @Parameter(description = "회차 uuid", example = "35e20bb2-9014-4c9d-abe2-9046db5f930c")
+      @Parameter(description = "회차 uuid", example = "e9a6774b-4f81-4402-b080-51d27fac1f01")
           @RequestParam(required = true)
           UUID uuid,
-      @Parameter(description = "비교년도", example = "2021") @RequestParam(required = false)
-          Integer compareYyyy,
       @Parameter(description = "비교년도분류", example = "container") @RequestParam(required = false)
           String compareClassCd,
-      @Parameter(description = "기준년도", example = "2022") @RequestParam(required = false)
-          Integer targetYyyy,
       @Parameter(description = "기준년도분류", example = "waste") @RequestParam(required = false)
           String targetClassCd,
       @Parameter(description = "도엽번호", example = "36713060") @RequestParam(required = false)
@@ -167,9 +146,7 @@ public class DatasetApiController {
       @RequestParam(defaultValue = "20") int size) {
     DatasetObjDto.SearchReq searchReq = new DatasetObjDto.SearchReq();
     searchReq.setUuid(uuid);
-    searchReq.setCompareYyyy(compareYyyy);
     searchReq.setCompareClassCd(compareClassCd);
-    searchReq.setTargetYyyy(targetYyyy);
     searchReq.setTargetClassCd(targetClassCd);
     searchReq.setMapSheetNum(mapSheetNum);
     searchReq.setPage(page);
@@ -177,12 +154,12 @@ public class DatasetApiController {
     return ApiResponseDto.ok(datasetService.searchDatasetObjectList(searchReq));
   }
 
-  @Operation(summary = "학습데이터 관리 목록 조회", description = "학습데이터 목록을 조회합니다.")
+  @Operation(summary = "학습데이터 관리 obj 삭제", description = "학습데이터 관리 obj 삭제 API")
   @ApiResponses(
       value = {
         @ApiResponse(
             responseCode = "200",
-            description = "조회 성공",
+            description = "삭제 성공",
             content =
                 @Content(
                     mediaType = "application/json",
@@ -195,7 +172,7 @@ public class DatasetApiController {
     return ApiResponseDto.ok(datasetService.deleteDatasetObjByUuid(uuid));
   }
 
-  @Operation(summary = "학습데이터관리 상세 조회", description = "학습데이터관리 상세 정보를 조회합니다.")
+  @Operation(summary = "학습데이터 결과 class 조회", description = "학습데이터 결과 class 조회 API")
   @ApiResponses(
       value = {
         @ApiResponse(
@@ -204,24 +181,60 @@ public class DatasetApiController {
             content =
                 @Content(
                     mediaType = "application/json",
-                    schema = @Schema(implementation = DatasetDto.Basic.class))),
-        @ApiResponse(responseCode = "404", description = "데이터셋을 찾을 수 없음", content = @Content),
+                    schema = @Schema(implementation = Page.class))),
+        @ApiResponse(responseCode = "400", description = "잘못된 검색 조건", content = @Content),
         @ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
       })
-  @GetMapping("/select-dataset-list")
-  public ApiResponseDto<List<SelectDataSet>> getDatasetSelectList(
-      @Parameter(
-              description = "모델 구분",
-              example = "",
-              schema = @Schema(allowableValues = {"M1", "M2", "M3"}))
-          @RequestParam
-          String modelType,
-      @Parameter(
-              description = "선택 구분",
-              example = "",
-              schema = @Schema(allowableValues = {"CURRENT", "DELIVER", "PRODUCTION"}))
-          @RequestParam
-          String selectType) {
-    return ApiResponseDto.ok(datasetService.getDatasetSelectList(modelType, selectType));
+  @GetMapping("/class/{uuid}")
+  public ApiResponseDto<List<DatasetClass>> getDatasetObjByUuid(
+      @Parameter(description = "dataset uuid", example = "e1416f32-769f-495c-a883-3ebfacef4bac")
+          @PathVariable
+          UUID uuid,
+      @Parameter(description = "compare, target", example = "compare") @RequestParam String type) {
+    return ApiResponseDto.ok(datasetService.getDatasetObjByUuid(uuid, type));
+  }
+
+  @Operation(summary = "남은 저장공간 조회", description = "남은 저장공간 조회 API")
+  @ApiResponses(
+      value = {
+        @ApiResponse(
+            responseCode = "200",
+            description = "조회 성공",
+            content =
+                @Content(
+                    mediaType = "application/json",
+                    schema = @Schema(implementation = Page.class))),
+        @ApiResponse(responseCode = "404", description = "저장 공간 조회 오류", content = @Content),
+        @ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
+      })
+  @GetMapping("/usable-bytes")
+  public ApiResponseDto<DatasetStorage> getUsableBytes() {
+    return ApiResponseDto.ok(datasetService.getUsableBytes());
+  }
+
+  @Operation(summary = "학습데이터 zip파일 등록", description = "학습데이터 zip파일 등록 합니다.")
+  @PostMapping
+  public ApiResponseDto<ApiResponseDto.ResponseObj> insertDataset(
+      @RequestBody @Valid DatasetDto.AddReq addReq) {
+
+    return ApiResponseDto.ok(datasetService.insertDataset(addReq));
+  }
+
+  @Operation(summary = "객체별 파일 Path 조회", description = "파일 Path 조회")
+  @GetMapping("/files")
+  public ResponseEntity<Resource> getFile(@RequestParam UUID uuid, @RequestParam String pathType)
+      throws Exception {
+
+    String path = datasetService.getFilePathByUUIDPathType(uuid, pathType);
+    return datasetService.getFilePathByFile(path);
+  }
+
+  @Operation(summary = "객체별 파일 Path 조회", description = "파일 Path 조회")
+  @GetMapping("/files-to86")
+  public ResponseEntity<Resource> getFileTo86(
+      @RequestParam UUID uuid, @RequestParam String pathType) throws Exception {
+
+    String path = datasetService.getFilePathByUUIDPathType(uuid, pathType);
+    return datasetService.getFilePathByFile(path);
   }
 }

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

@@ -1,56 +0,0 @@
-package com.kamco.cd.training.dataset;
-
-import com.kamco.cd.training.config.api.ApiResponseDto;
-import com.kamco.cd.training.dataset.dto.MapSheetDto;
-import com.kamco.cd.training.dataset.service.MapSheetService;
-import io.swagger.v3.oas.annotations.Operation;
-import io.swagger.v3.oas.annotations.media.Content;
-import io.swagger.v3.oas.annotations.media.Schema;
-import io.swagger.v3.oas.annotations.responses.ApiResponse;
-import io.swagger.v3.oas.annotations.responses.ApiResponses;
-import io.swagger.v3.oas.annotations.tags.Tag;
-import jakarta.validation.Valid;
-import lombok.RequiredArgsConstructor;
-import org.springframework.data.domain.Page;
-import org.springframework.web.bind.annotation.*;
-
-@Tag(name = "도엽 관리", description = "도엽(MapSheet) 관리 API")
-@RestController
-@RequiredArgsConstructor
-public class MapSheetApiController {
-
-  private final MapSheetService mapSheetService;
-
-  @Operation(summary = "도엽 목록 조회", description = "데이터셋의 도엽 목록을 조회합니다.")
-  @ApiResponses(
-      value = {
-        @ApiResponse(
-            responseCode = "200",
-            description = "조회 성공",
-            content =
-                @Content(
-                    mediaType = "application/json",
-                    schema = @Schema(implementation = Page.class))),
-        @ApiResponse(responseCode = "400", description = "잘못된 검색 조건", content = @Content),
-        @ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
-      })
-  @PostMapping("/api/datasets/items/search")
-  public ApiResponseDto<Page<MapSheetDto.Basic>> searchMapSheets(
-      @RequestBody @Valid MapSheetDto.SearchReq searchReq) {
-    return ApiResponseDto.ok(mapSheetService.searchMapSheets(searchReq));
-  }
-
-  @Operation(summary = "도엽 삭제", description = "도엽을 삭제합니다 (다건 지원).")
-  @ApiResponses(
-      value = {
-        @ApiResponse(responseCode = "200", description = "삭제 성공", content = @Content),
-        @ApiResponse(responseCode = "400", description = "잘못된 요청", content = @Content),
-        @ApiResponse(responseCode = "404", description = "도엽을 찾을 수 없음", content = @Content),
-        @ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
-      })
-  @PostMapping("/api/datasets/items/delete")
-  public ApiResponseDto<Void> deleteMapSheets(@RequestBody @Valid MapSheetDto.DeleteReq deleteReq) {
-    mapSheetService.deleteMapSheets(deleteReq);
-    return ApiResponseDto.ok(null);
-  }
-}

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

@@ -1,8 +1,10 @@
 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;
 import com.kamco.cd.training.common.utils.enums.Enums;
 import com.kamco.cd.training.common.utils.interfaces.JsonFormatDttm;
 import io.swagger.v3.oas.annotations.media.Schema;
@@ -13,6 +15,7 @@ import java.time.ZonedDateTime;
 import java.util.List;
 import java.util.UUID;
 import lombok.AllArgsConstructor;
+import lombok.Builder;
 import lombok.Getter;
 import lombok.NoArgsConstructor;
 import lombok.Setter;
@@ -132,9 +135,7 @@ public class DatasetDto {
     private int size = 20;
 
     public Pageable toPageable() {
-      // API에서는 1부터 시작하지만 내부적으로는 0부터 시작
-      int pageIndex = Math.max(0, page - 1);
-      return PageRequest.of(pageIndex, size, Sort.by(Sort.Direction.DESC, "createdDttm"));
+      return PageRequest.of(page, size, Sort.by(Sort.Direction.DESC, "createdDttm"));
     }
   }
 
@@ -229,24 +230,29 @@ public class DatasetDto {
   @JsonInclude(JsonInclude.Include.NON_NULL)
   public static class SelectDataSet {
 
+    private String modelNo; // G1, G2, G3 모델 타입
     private Long datasetId;
     private UUID uuid;
     private String dataType;
-    private String yyyy;
+    private String title;
     private Long roundNo;
     private Integer compareYyyy;
     private Integer targetYyyy;
     private String memo;
-    private Long classCount;
-    private Integer buildingCount;
-    private Integer containerCount;
+    @JsonIgnore private Long classCount;
+    private Integer buildingCnt;
+    private Integer containerCnt;
     private String dataTypeName;
 
+    private Long wasteCnt;
+    private Long landCoverCnt;
+
     public SelectDataSet(
+        String modelNo,
         Long datasetId,
         UUID uuid,
         String dataType,
-        String yyyy,
+        String title,
         Long roundNo,
         Integer compareYyyy,
         Integer targetYyyy,
@@ -255,36 +261,43 @@ public class DatasetDto {
       this.datasetId = datasetId;
       this.uuid = uuid;
       this.dataType = dataType;
-      this.yyyy = yyyy;
+      this.dataTypeName = getDataTypeName(dataType);
+      this.title = title;
       this.roundNo = roundNo;
       this.compareYyyy = compareYyyy;
       this.targetYyyy = targetYyyy;
       this.memo = memo;
       this.classCount = classCount;
+      if (modelNo.equals(ModelType.G2.getId())) {
+        this.wasteCnt = classCount;
+      } else if (modelNo.equals(ModelType.G3.getId())) {
+        this.landCoverCnt = classCount;
+      }
     }
 
     public SelectDataSet(
+        String modelNo,
         Long datasetId,
         UUID uuid,
         String dataType,
-        String yyyy,
+        String title,
         Long roundNo,
         Integer compareYyyy,
         Integer targetYyyy,
         String memo,
-        Integer buildingCount,
-        Integer containerCount) {
+        Integer buildingCnt,
+        Integer containerCnt) {
       this.datasetId = datasetId;
       this.uuid = uuid;
       this.dataType = dataType;
       this.dataTypeName = getDataTypeName(dataType);
-      this.yyyy = yyyy;
+      this.title = title;
       this.roundNo = roundNo;
       this.compareYyyy = compareYyyy;
       this.targetYyyy = targetYyyy;
       this.memo = memo;
-      this.buildingCount = buildingCount;
-      this.containerCount = containerCount;
+      this.buildingCnt = buildingCnt;
+      this.containerCnt = containerCnt;
     }
 
     public String getDataTypeName(String groupTitleCd) {
@@ -296,4 +309,45 @@ public class DatasetDto {
       return this.compareYyyy + "-" + this.targetYyyy;
     }
   }
+
+  @Getter
+  @Setter
+  @NoArgsConstructor
+  @AllArgsConstructor
+  public static class DatasetReq {
+    String modelNo;
+    String dataType;
+    UUID uuid;
+    Long id;
+    List<Long> ids;
+  }
+
+  @Getter
+  @Setter
+  @NoArgsConstructor
+  @AllArgsConstructor
+  public static class AddReq {
+    private String fileName;
+    private String filePath;
+    private Long fileSize;
+    private String memo;
+  }
+
+  @Getter
+  @Setter
+  @NoArgsConstructor
+  @AllArgsConstructor
+  @Builder
+  public static class DatasetMngRegDto {
+    private String uid;
+    private String dataType;
+    private Integer compareYyyy;
+    private Integer targetYyyy;
+    private Long roundNo;
+    private String title;
+    private String memo;
+    private Long totalSize;
+    private Long totalObjectCount;
+    private String datasetPath;
+  }
 }

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

@@ -1,10 +1,16 @@
 package com.kamco.cd.training.dataset.dto;
 
+import com.fasterxml.jackson.annotation.JsonIgnore;
+import com.fasterxml.jackson.core.JsonProcessingException;
+import com.fasterxml.jackson.databind.JsonNode;
+import com.fasterxml.jackson.databind.ObjectMapper;
+import com.kamco.cd.training.common.enums.DetectionClassification;
 import com.kamco.cd.training.common.utils.interfaces.JsonFormatDttm;
 import io.swagger.v3.oas.annotations.media.Schema;
 import java.time.ZonedDateTime;
 import java.util.UUID;
 import lombok.AllArgsConstructor;
+import lombok.Builder;
 import lombok.Getter;
 import lombok.NoArgsConstructor;
 import lombok.Setter;
@@ -37,6 +43,8 @@ public class DatasetObjDto {
     private Long createdUid;
     private Boolean deleted;
     private UUID uuid;
+    @JsonIgnore private String geoJsonb;
+    private JsonNode geoJson;
 
     public Basic(
         Long objId,
@@ -53,7 +61,8 @@ public class DatasetObjDto {
         ZonedDateTime createdDttm,
         Long createdUid,
         Boolean deleted,
-        UUID uuid) {
+        UUID uuid,
+        String geoJsonb) {
       this.objId = objId;
       this.datasetUid = datasetUid;
       this.targetYyyy = targetYyyy;
@@ -69,6 +78,19 @@ public class DatasetObjDto {
       this.createdUid = createdUid;
       this.deleted = deleted;
       this.uuid = uuid;
+      this.geoJsonb = geoJsonb;
+
+      JsonNode geoJsonNode = null;
+      ObjectMapper mapper = new ObjectMapper();
+      if (geoJsonb != null) {
+        try {
+          geoJsonNode = mapper.readTree(geoJsonb);
+        } catch (JsonProcessingException e) {
+          throw new RuntimeException(e);
+        }
+      }
+
+      this.geoJson = geoJsonNode;
     }
   }
 
@@ -78,18 +100,12 @@ public class DatasetObjDto {
   @NoArgsConstructor
   @AllArgsConstructor
   public static class SearchReq {
-    @Schema(description = "회차 uuid", example = "35e20bb2-9014-4c9d-abe2-9046db5f930c")
+    @Schema(description = "회차 uuid", example = "e9a6774b-4f81-4402-b080-51d27fac1f01")
     private UUID uuid;
 
-    @Schema(description = "비교년도", example = "2021")
-    private Integer compareYyyy;
-
     @Schema(description = "비교년도분류", example = "waste")
     private String compareClassCd;
 
-    @Schema(description = "기준년도", example = "2022")
-    private Integer targetYyyy;
-
     @Schema(description = "기준년도분류", example = "land")
     private String targetClassCd;
 
@@ -103,9 +119,45 @@ public class DatasetObjDto {
     private int size = 20;
 
     public Pageable toPageable() {
-      // API에서는 1부터 시작하지만 내부적으로는 0부터 시작
-      int pageIndex = Math.max(0, page - 1);
-      return PageRequest.of(pageIndex, size, Sort.by(Sort.Direction.DESC, "createdDttm"));
+      return PageRequest.of(page, size, Sort.by(Sort.Direction.DESC, "createdDttm"));
     }
   }
+
+  @Getter
+  @Setter
+  @AllArgsConstructor
+  @NoArgsConstructor
+  public static class DatasetClass {
+    private String classCd;
+
+    public String getClassName() {
+      return DetectionClassification.valueOf(classCd.toUpperCase()).getDesc();
+    }
+  }
+
+  @Getter
+  @Setter
+  public static class DatasetStorage {
+    private String usableBytes;
+  }
+
+  @Getter
+  @Setter
+  @NoArgsConstructor
+  @AllArgsConstructor
+  @Builder
+  public static class DatasetObjRegDto {
+    private Long datasetUid;
+    private Integer compareYyyy;
+    private String compareClassCd;
+    private Integer targetYyyy;
+    private String targetClassCd;
+    private String comparePath;
+    private String targetPath;
+    private String labelPath;
+    private String geojsonPath;
+    private String mapSheetNum;
+    private JsonNode geojson;
+    private String fileName;
+  }
 }

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

@@ -1,26 +1,62 @@
 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.common.enums.LearnDataType;
+import com.kamco.cd.training.common.exception.CustomApiException;
+import com.kamco.cd.training.common.service.FormatStorage;
+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.SelectDataSet;
+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;
+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.postgres.core.DatasetCoreService;
+import jakarta.validation.Valid;
+import java.io.IOException;
+import java.io.InputStream;
+import java.nio.file.Files;
+import java.nio.file.Path;
+import java.nio.file.Paths;
+import java.util.ArrayList;
+import java.util.HashMap;
 import java.util.List;
+import java.util.Map;
 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.core.io.InputStreamResource;
+import org.springframework.core.io.Resource;
 import org.springframework.data.domain.Page;
+import org.springframework.http.HttpHeaders;
+import org.springframework.http.HttpStatus;
+import org.springframework.http.MediaType;
+import org.springframework.http.ResponseEntity;
 import org.springframework.stereotype.Service;
 import org.springframework.transaction.annotation.Transactional;
 
 @Slf4j
 @Service
 @RequiredArgsConstructor
-@Transactional(readOnly = true)
+@Transactional
 public class DatasetService {
 
   private final DatasetCoreService datasetCoreService;
 
+  @Value("${file.dataset-dir}")
+  private String datasetDir;
+
+  private static final List<String> LABEL_DIRS = List.of("label-json", "label", "input1", "input2");
+
   /**
    * 데이터셋 목록 조회
    *
@@ -96,11 +132,393 @@ public class DatasetService {
     return datasetCoreService.deleteDatasetObjByUuid(uuid);
   }
 
-  public List<SelectDataSet> getDatasetSelectList(String modelType, String selectType) {
-    if (modelType.equals("M1")) {
-      return datasetCoreService.getDatasetSelectM1List(modelType, selectType);
+  /**
+   * 데이터셋 object class 조회
+   *
+   * @param uuid dataset uuid
+   * @param type compare, target
+   */
+  public List<DatasetClass> getDatasetObjByUuid(UUID uuid, String type) {
+    return datasetCoreService.findDatasetObjClassByUuid(uuid, type);
+  }
+
+  /**
+   * 사용 가능 공간 조회
+   *
+   * @return
+   */
+  public DatasetStorage getUsableBytes() {
+    // 현재 실행 위치가 속한 디스크 기준
+    try {
+      FormatStorage.DiskUsage usage = FormatStorage.getDiskUsage(Path.of("."));
+      log.debug("경로 : {}", usage.path());
+      log.debug("총 저장공간 : {}", usage.totalText());
+      log.debug("남은 저장공간 : {}", usage.usableText());
+      log.debug("사용률 : {}", usage.usedPercent());
+
+      DatasetStorage datasetStorage = new DatasetStorage();
+      datasetStorage.setUsableBytes(usage.usableText());
+      return datasetStorage;
+    } catch (Exception e) {
+      throw new CustomApiException("NOT_FOUND", HttpStatus.NOT_FOUND);
+    }
+  }
+
+  @Deprecated
+  @Transactional
+  public ResponseObj insertDatasetTo86(@Valid AddReq addReq) {
+
+    Long datasetUid = null; // master id 값, 등록하면서 가져올 예정
+
+    // 압축 해제
+    FIleChecker.unzipOn86Server(
+        addReq.getFilePath() + addReq.getFileName(),
+        addReq.getFilePath() + addReq.getFileName().replace(".zip", ""));
+
+    // 해제한 폴더 읽어서 데이터 저장
+    List<Map<String, Object>> list =
+        getUnzipDatasetFilesTo86(
+            addReq.getFilePath() + addReq.getFileName().replace(".zip", ""), "train");
+
+    int idx = 0;
+    for (Map<String, Object> map : list) {
+      datasetUid =
+          this.insertTrainTestData(map, addReq, idx, datasetUid, "train"); // train 데이터 insert
+      idx++;
+    }
+
+    List<Map<String, Object>> testList =
+        getUnzipDatasetFilesTo86(
+            addReq.getFilePath() + addReq.getFileName().replace(".zip", ""), "test");
+
+    int testIdx = 0;
+    for (Map<String, Object> test : testList) {
+      datasetUid =
+          this.insertTrainTestData(test, addReq, testIdx, datasetUid, "test"); // test 데이터 insert
+      testIdx++;
+    }
+
+    datasetCoreService.updateDatasetUploadStatus(datasetUid);
+    return new ResponseObj(ApiResponseCode.OK, "업로드 성공하였습니다.");
+  }
+
+  @Transactional
+  public ResponseObj insertDataset(@Valid AddReq addReq) {
+
+    Long datasetUid = null; // master id 값, 등록하면서 가져올 예정
+
+    try {
+      // 압축 해제
+      FIleChecker.unzip(addReq.getFileName(), addReq.getFilePath());
+
+      // 해제한 폴더 읽어서 데이터 저장
+      List<Map<String, Object>> list =
+          getUnzipDatasetFiles(
+              addReq.getFilePath() + addReq.getFileName().replace(".zip", ""), "train");
+
+      int idx = 0;
+      for (Map<String, Object> map : list) {
+        datasetUid =
+            this.insertTrainTestData(map, addReq, idx, datasetUid, "train"); // train 데이터 insert
+        idx++;
+      }
+
+      List<Map<String, Object>> valList =
+          getUnzipDatasetFiles(
+              addReq.getFilePath() + addReq.getFileName().replace(".zip", ""), "val");
+
+      int valIdx = 0;
+      for (Map<String, Object> valid : valList) {
+        datasetUid =
+            this.insertTrainTestData(valid, addReq, valIdx, datasetUid, "val"); // val 데이터 insert
+        valIdx++;
+      }
+
+      List<Map<String, Object>> testList =
+          getUnzipDatasetFiles(
+              addReq.getFilePath() + addReq.getFileName().replace(".zip", ""), "test");
+
+      int testIdx = 0;
+      for (Map<String, Object> test : testList) {
+        datasetUid =
+            this.insertTrainTestData(test, addReq, testIdx, datasetUid, "test"); // test 데이터 insert
+        testIdx++;
+      }
+
+    } catch (IOException e) {
+      log.error(e.getMessage());
+      return new ResponseObj(ApiResponseCode.INTERNAL_SERVER_ERROR, e.getMessage());
+    }
+
+    datasetCoreService.updateDatasetUploadStatus(datasetUid);
+    return new ResponseObj(ApiResponseCode.OK, "업로드 성공하였습니다.");
+  }
+
+  @Transactional
+  public Long insertTrainTestData(
+      Map<String, Object> map, AddReq addReq, int idx, Long datasetUid, String subDir) {
+    ObjectMapper mapper = new ObjectMapper();
+    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");
+    JsonNode json;
+
+    if (labelJson instanceof JsonNode jn) {
+      json = jn;
     } else {
-      return datasetCoreService.getDatasetSelectM2M3List(modelType, selectType);
+      try {
+        json = mapper.readTree(labelJson.toString());
+      } catch (IOException e) {
+        throw new RuntimeException("label_json parse error", e);
+      }
+    }
+
+    String fileName = Paths.get(comparePath).getFileName().toString();
+    String[] fileNameStr = fileName.split("_");
+    String compareYyyy = fileNameStr[1];
+    String targetYyyy = fileNameStr[2];
+    String mapSheetNum = fileNameStr[3];
+
+    if (idx == 0 && subDir.equals("train")) {
+      String title = compareYyyy + "-" + targetYyyy; // 제목 : 비교년도-기준년도
+      String dataType = LearnDataType.PRODUCTION.getId(); // 만들어 넣는 건 다 제작
+      Long stage =
+          datasetCoreService.getDatasetMaxStage(
+                  Integer.parseInt(compareYyyy), Integer.parseInt(targetYyyy))
+              + 1;
+      String uid = addReq.getFileName().replace(".zip", "");
+
+      DatasetMngRegDto mngRegDto =
+          DatasetMngRegDto.builder()
+              .uid(uid)
+              .dataType(dataType)
+              .compareYyyy(Integer.parseInt(compareYyyy))
+              .targetYyyy(Integer.parseInt(targetYyyy))
+              .title(title)
+              .memo(addReq.getMemo())
+              .roundNo(stage)
+              .totalSize(addReq.getFileSize())
+              .datasetPath(addReq.getFilePath())
+              .build();
+
+      datasetUid = datasetCoreService.insertDatasetMngData(mngRegDto); // tb_dataset 에 insert
+    }
+
+    // datasetUid 로 obj 도 등록하기
+    // Json 갯수만큼 for문 돌려서 insert 해야 함, features에 빈값
+    if (json != null && json.path("features") != null && !json.path("features").isEmpty()) {
+
+      for (JsonNode feature : json.path("features")) {
+        JsonNode prop = feature.path("properties");
+        String compareClassCd = prop.path("before").asText(null);
+        String targetClassCd = prop.path("after").asText(null);
+
+        // 한 개씩 자른 geojson을 FeatureCollection 으로 만들어서 넣기
+        ObjectNode root = mapper.createObjectNode();
+        root.put("type", "FeatureCollection");
+        ArrayNode features = mapper.createArrayNode();
+        features.add(feature);
+        root.set("features", features);
+
+        DatasetObjRegDto objRegDto =
+            DatasetObjRegDto.builder()
+                .datasetUid(datasetUid)
+                .compareYyyy(Integer.parseInt(compareYyyy))
+                .compareClassCd(compareClassCd)
+                .targetYyyy(Integer.parseInt(targetYyyy))
+                .targetClassCd(targetClassCd)
+                .comparePath(comparePath)
+                .targetPath(targetPath)
+                .labelPath(labelPath)
+                .mapSheetNum(mapSheetNum)
+                .geojson(root)
+                .geojsonPath(geojsonPath)
+                .fileName(fileName)
+                .build();
+
+        if (subDir.equals("train")) {
+          datasetCoreService.insertDatasetObj(objRegDto);
+        } else if (subDir.equals("val")) {
+          datasetCoreService.insertDatasetValObj(objRegDto);
+        } else {
+          datasetCoreService.insertDatasetTestObj(objRegDto);
+        }
+      }
+    }
+
+    return datasetUid;
+  }
+
+  private List<Map<String, Object>> getUnzipDatasetFiles(String unzipRootPath, String subDir) {
+
+    Path root = Paths.get(unzipRootPath).resolve(subDir);
+    Map<String, Map<String, Object>> grouped = new HashMap<>();
+
+    for (String dirName : LABEL_DIRS) {
+      Path dir = root.resolve(dirName);
+
+      if (!Files.isDirectory(dir)) {
+        throw new IllegalStateException("폴더가 존재하지 않습니다 : " + dir);
+      }
+
+      try (Stream<Path> stream = Files.list(dir)) {
+        stream
+            .filter(Files::isRegularFile)
+            .forEach(
+                path -> {
+                  String fileName = path.getFileName().toString();
+                  String baseName = getBaseName(fileName);
+
+                  // baseName 기준 Map 생성
+                  Map<String, Object> data =
+                      grouped.computeIfAbsent(baseName, k -> new HashMap<>());
+
+                  // 공통 메타
+                  data.put("baseName", baseName);
+
+                  // 폴더별 처리
+                  if ("label-json".equals(dirName)) {
+                    // json 파일이면 파싱
+                    data.put("label-json", readJson(path));
+                    data.put("geojson_path", path.toAbsolutePath().toString());
+                  } else {
+                    data.put(dirName, path.toAbsolutePath().toString());
+                  }
+                });
+
+      } catch (IOException e) {
+        throw new RuntimeException(e);
+      }
+    }
+
+    return new ArrayList<>(grouped.values());
+  }
+
+  private String getBaseName(String fileName) {
+    int idx = fileName.lastIndexOf('.');
+    return (idx > 0) ? fileName.substring(0, idx) : fileName;
+  }
+
+  private JsonNode readJson(Path jsonPath) {
+    try {
+      ObjectMapper mapper = new ObjectMapper();
+      return mapper.readTree(jsonPath.toFile());
+    } catch (IOException e) {
+      throw new RuntimeException("JSON 읽기 실패: " + jsonPath, e);
+    }
+  }
+
+  public String getFilePathByUUIDPathType(UUID uuid, String pathType) {
+    return datasetCoreService.getFilePathByUUIDPathType(uuid, pathType);
+  }
+
+  @Deprecated
+  private List<Map<String, Object>> getUnzipDatasetFilesTo86(String unzipRootPath, String subDir) {
+
+    //    String root = Paths.get(unzipRootPath)
+    //      .resolve(subDir)
+    //      .toString();
+    //
+    String root = normalizeLinuxPath(unzipRootPath + "/" + subDir);
+
+    Map<String, Map<String, Object>> grouped = new HashMap<>();
+
+    for (String dirName : LABEL_DIRS) {
+
+      String remoteDir = root + "/" + dirName;
+
+      // 1. 86 서버에서 해당 디렉토리의 파일 목록 조회
+      List<String> files = listFilesOn86Server(remoteDir);
+
+      if (files.isEmpty()) {
+        throw new IllegalStateException("폴더가 존재하지 않거나 파일이 없습니다 : " + remoteDir);
+      }
+
+      for (String fullPath : files) {
+
+        String fileName = Paths.get(fullPath).getFileName().toString();
+        String baseName = getBaseName(fileName);
+
+        Map<String, Object> data = grouped.computeIfAbsent(baseName, k -> new HashMap<>());
+
+        data.put("baseName", baseName);
+
+        if ("label-json".equals(dirName)) {
+
+          // 2. json 내용도 86 서버에서 읽어서 가져와야 함
+          String json = readRemoteFileAsString(fullPath);
+
+          data.put("label-json", parseJson(json));
+          data.put("geojson_path", fullPath);
+
+        } else {
+
+          data.put(dirName, fullPath);
+        }
+      }
+    }
+
+    return new ArrayList<>(grouped.values());
+  }
+
+  private List<String> listFilesOn86Server(String remoteDir) {
+
+    String command = "find " + escape(remoteDir) + " -maxdepth 1 -type f";
+
+    return FIleChecker.execCommandAndReadLines(command);
+  }
+
+  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) {
+    return "'" + path.replace("'", "'\"'\"'") + "'";
+  }
+
+  private static String normalizeLinuxPath(String path) {
+    return path.replace("\\", "/");
+  }
+
+  public ResponseEntity<Resource> getFilePathByFile(String remoteFilePath) {
+
+    try {
+      Path path = Paths.get(remoteFilePath);
+      InputStream inputStream = Files.newInputStream(path);
+
+      InputStreamResource resource =
+          new InputStreamResource(inputStream) {
+            @Override
+            public long contentLength() {
+              return -1; // 알 수 없으면 -1
+            }
+          };
+
+      String fileName = Paths.get(remoteFilePath.replace("\\", "/")).getFileName().toString();
+
+      return ResponseEntity.ok()
+          .header(HttpHeaders.CONTENT_DISPOSITION, "attachment; filename=\"" + fileName + "\"")
+          .contentType(MediaType.APPLICATION_OCTET_STREAM)
+          .body(resource);
+
+    } catch (Exception e) {
+      throw new RuntimeException(e);
     }
   }
 }

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

@@ -1,10 +1,11 @@
 package com.kamco.cd.training.hyperparam;
 
+import com.kamco.cd.training.common.dto.HyperParam;
+import com.kamco.cd.training.common.enums.ModelType;
 import com.kamco.cd.training.config.api.ApiResponseDto;
 import com.kamco.cd.training.hyperparam.dto.HyperParamDto;
 import com.kamco.cd.training.hyperparam.dto.HyperParamDto.List;
 import com.kamco.cd.training.hyperparam.service.HyperParamService;
-import com.kamco.cd.training.model.dto.ModelMngDto;
 import io.swagger.v3.oas.annotations.Operation;
 import io.swagger.v3.oas.annotations.Parameter;
 import io.swagger.v3.oas.annotations.media.Content;
@@ -49,8 +50,7 @@ public class HyperParamApiController {
         @ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
       })
   @PostMapping
-  public ApiResponseDto<String> createHyperParam(
-      @Valid @RequestBody HyperParamDto.HyperParamCreateReq createReq) {
+  public ApiResponseDto<String> createHyperParam(@Valid @RequestBody HyperParam createReq) {
     String newVersion = hyperParamService.createHyperParam(createReq);
     return ApiResponseDto.ok(newVersion);
   }
@@ -66,11 +66,12 @@ public class HyperParamApiController {
                     mediaType = "application/json",
                     schema = @Schema(implementation = String.class))),
         @ApiResponse(responseCode = "400", description = "잘못된 요청", content = @Content),
+        @ApiResponse(responseCode = "422", description = "default는 삭제불가", content = @Content),
         @ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
       })
   @PutMapping("/{uuid}")
   public ApiResponseDto<String> updateHyperParam(
-      @PathVariable UUID uuid, @Valid @RequestBody HyperParamDto.HyperParamCreateReq createReq) {
+      @PathVariable UUID uuid, @Valid @RequestBody HyperParam createReq) {
     return ApiResponseDto.ok(hyperParamService.updateHyperParam(uuid, createReq));
   }
 
@@ -87,8 +88,9 @@ public class HyperParamApiController {
         @ApiResponse(responseCode = "404", description = "하이퍼파라미터를 찾을 수 없음", content = @Content),
         @ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
       })
-  @GetMapping("/list")
+  @GetMapping("{model}/list")
   public ApiResponseDto<Page<List>> getHyperParam(
+      @PathVariable ModelType model,
       @Parameter(
               description = "구분 CREATE_DATE(생성일), LAST_USED_DATE(최근사용일)",
               example = "CREATE_DATE")
@@ -98,7 +100,7 @@ public class HyperParamApiController {
           LocalDate startDate,
       @Parameter(description = "종료일", example = "2026-02-28") @RequestParam(required = false)
           LocalDate endDate,
-      @Parameter(description = "버전명", example = "HPs_0001") @RequestParam(required = false)
+      @Parameter(description = "버전명", example = "G_000001") @RequestParam(required = false)
           String hyperVer,
       @Parameter(
               description = "정렬",
@@ -124,7 +126,7 @@ public class HyperParamApiController {
     searchReq.setSort(sort);
     searchReq.setPage(page);
     searchReq.setSize(size);
-    Page<List> list = hyperParamService.getHyperParamList(searchReq);
+    Page<List> list = hyperParamService.getHyperParamList(model, searchReq);
 
     return ApiResponseDto.ok(list);
   }
@@ -133,7 +135,7 @@ public class HyperParamApiController {
   @ApiResponses(
       value = {
         @ApiResponse(responseCode = "200", description = "삭제 성공", content = @Content),
-        @ApiResponse(responseCode = "409", description = "HPs_0001 삭제 불가", content = @Content),
+        @ApiResponse(responseCode = "422", description = "default 삭제 불가", content = @Content),
         @ApiResponse(responseCode = "404", description = "하이퍼파라미터를 찾을 수 없음", content = @Content),
       })
   @DeleteMapping("/{uuid}")
@@ -154,7 +156,7 @@ public class HyperParamApiController {
             content =
                 @Content(
                     mediaType = "application/json",
-                    schema = @Schema(implementation = ModelMngDto.HyperParamInfo.class))),
+                    schema = @Schema(implementation = HyperParamDto.Basic.class))),
         @ApiResponse(responseCode = "404", description = "하이퍼파라미터를 찾을 수 없음", content = @Content),
         @ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
       })
@@ -179,8 +181,11 @@ public class HyperParamApiController {
         @ApiResponse(responseCode = "404", description = "하이퍼파라미터를 찾을 수 없음", content = @Content),
         @ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
       })
-  @GetMapping("/init")
-  public ApiResponseDto<HyperParamDto.Basic> getInitHyperParam() {
-    return ApiResponseDto.ok(hyperParamService.getInitHyperParam());
+  @GetMapping("/init/{model}")
+  public ApiResponseDto<HyperParamDto.Basic> getInitHyperParam(
+    @PathVariable ModelType model
+
+  ) {
+    return ApiResponseDto.ok(hyperParamService.getInitHyperParam(model));
   }
 }

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

@@ -1,5 +1,6 @@
 package com.kamco.cd.training.hyperparam.dto;
 
+import com.kamco.cd.training.common.enums.ModelType;
 import com.kamco.cd.training.common.utils.enums.CodeExpose;
 import com.kamco.cd.training.common.utils.enums.EnumType;
 import com.kamco.cd.training.common.utils.interfaces.JsonFormatDttm;
@@ -24,6 +25,7 @@ public class HyperParamDto {
   @AllArgsConstructor
   public static class Basic {
 
+    private ModelType model; // 20250212 modeltype추가
     private UUID uuid;
     private String hyperVer;
     @JsonFormatDttm private ZonedDateTime createdDttm;
@@ -98,6 +100,8 @@ public class HyperParamDto {
     private Integer gpuCnt;
     private String gpuIds;
     private Integer masterPort;
+
+    private Boolean isDefault;
   }
 
   @Getter
@@ -115,155 +119,6 @@ public class HyperParamDto {
     private Long totalCnt;
   }
 
-  @Schema(name = "HyperParamCreateReq", description = "하이퍼파라미터 등록 요청")
-  @Getter
-  @Setter
-  @NoArgsConstructor
-  @AllArgsConstructor
-  public static class HyperParamCreateReq {
-
-    // -------------------------
-    // Important
-    // -------------------------
-    @Schema(description = "백본 네트워크", example = "large")
-    private String backbone; // backbone
-
-    @Schema(description = "입력 이미지 크기(H,W)", example = "512,512")
-    private String inputSize; // input_size
-
-    @Schema(description = "크롭 크기(H,W 또는 단일값)", example = "256,256")
-    private String cropSize; // crop_size
-
-    @Schema(description = "배치 크기(Per GPU)", example = "16")
-    private Integer batchSize; // batch_size
-
-    // -------------------------
-    // Data
-    // -------------------------
-    @Schema(description = "Train dataloader workers", example = "16")
-    private Integer trainNumWorkers; // train_num_workers
-
-    @Schema(description = "Val dataloader workers", example = "8")
-    private Integer valNumWorkers; // val_num_workers
-
-    @Schema(description = "Test dataloader workers", example = "8")
-    private Integer testNumWorkers; // test_num_workers
-
-    @Schema(description = "Train shuffle 여부", example = "true")
-    private Boolean trainShuffle; // train_shuffle
-
-    @Schema(description = "Train persistent workers 여부", example = "true")
-    private Boolean trainPersistent; // train_persistent
-
-    @Schema(description = "Val persistent workers 여부", example = "true")
-    private Boolean valPersistent; // val_persistent
-
-    // -------------------------
-    // Model Architecture
-    // -------------------------
-    @Schema(description = "Drop Path 비율", example = "0.3")
-    private Double dropPathRate; // drop_path_rate
-
-    @Schema(description = "Freeze 단계(-1:None)", example = "-1")
-    private Integer frozenStages; // frozen_stages
-
-    @Schema(description = "Neck 결합 정책", example = "abs_diff")
-    private String neckPolicy; // neck_policy
-
-    @Schema(description = "디코더 채널 구성", example = "512,256,128,64")
-    private String decoderChannels; // decoder_channels
-
-    @Schema(description = "클래스별 가중치", example = "1,10")
-    private String classWeight; // class_weight
-
-    // -------------------------
-    // Loss & Optimization
-    // -------------------------
-    @Schema(description = "학습률", example = "0.00006")
-    private Double learningRate; // learning_rate
-
-    @Schema(description = "Weight Decay", example = "0.05")
-    private Double weightDecay; // weight_decay
-
-    @Schema(description = "Layer Decay Rate", example = "0.9")
-    private Double layerDecayRate; // layer_decay_rate
-
-    @Schema(description = "DDP unused params 탐색 여부", example = "true")
-    private Boolean ddpFindUnusedParams; // ddp_find_unused_params
-
-    @Schema(description = "Loss 계산 제외 인덱스", example = "255")
-    private Integer ignoreIndex; // ignore_index
-
-    @Schema(description = "레이어 깊이", example = "24")
-    private Integer numLayers; // num_layers
-
-    // -------------------------
-    // Evaluation
-    // -------------------------
-    @Schema(description = "평가 지표 목록", example = "mFscore,mIoU")
-    private String metrics; // metrics
-
-    @Schema(description = "Best 모델 선정 기준 지표", example = "changed_fscore")
-    private String saveBest; // save_best
-
-    @Schema(description = "Best 모델 선정 규칙", example = "less")
-    private String saveBestRule; // save_best_rule
-
-    @Schema(description = "검증 수행 주기(Epoch)", example = "10")
-    private Integer valInterval; // val_interval
-
-    @Schema(description = "로그 기록 주기(Iteration)", example = "400")
-    private Integer logInterval; // log_interval
-
-    @Schema(description = "시각화 저장 주기(Epoch)", example = "1")
-    private Integer visInterval; // vis_interval
-
-    // -------------------------
-    // Augmentation
-    // -------------------------
-    @Schema(description = "회전 적용 확률", example = "0.5")
-    private Double rotProb; // rot_prob
-
-    @Schema(description = "회전 각도 범위(Min,Max)", example = "-20,20")
-    private String rotDegree; // rot_degree
-
-    @Schema(description = "반전 적용 확률", example = "0.5")
-    private Double flipProb; // flip_prob
-
-    @Schema(description = "채널 교환 확률", example = "0.5")
-    private Double exchangeProb; // exchange_prob
-
-    @Schema(description = "밝기 변화량", example = "10")
-    private Integer brightnessDelta; // brightness_delta
-
-    @Schema(description = "대비 범위(Min,Max)", example = "0.8,1.2")
-    private String contrastRange; // contrast_range
-
-    @Schema(description = "채도 범위(Min,Max)", example = "0.8,1.2")
-    private String saturationRange; // saturation_range
-
-    @Schema(description = "색조 변화량", example = "10")
-    private Integer hueDelta; // hue_delta
-
-    // -------------------------
-    // Hardware
-    // -------------------------
-    @Schema(description = "사용 GPU 개수", example = "4")
-    private Integer gpuCnt; // gpu_cnt
-
-    @Schema(description = "사용 GPU ID 목록", example = "0,1,2,3")
-    private String gpuIds; // gpu_ids
-
-    @Schema(description = "분산학습 마스터 포트", example = "1122")
-    private Integer masterPort; // master_port
-
-    // -------------------------
-    // Memo
-    // -------------------------
-    @Schema(description = "메모", example = "하이퍼파라미터 신규등록")
-    private String memo; // memo
-  }
-
   @Getter
   @Setter
   @NoArgsConstructor

src/main/java/com/kamco/cd/training/hyperparam/service/HyperParamService.java

@@ -1,7 +1,10 @@
 package com.kamco.cd.training.hyperparam.service;
 
+import com.kamco.cd.training.common.dto.HyperParam;
+import com.kamco.cd.training.common.enums.ModelType;
 import com.kamco.cd.training.hyperparam.dto.HyperParamDto;
 import com.kamco.cd.training.hyperparam.dto.HyperParamDto.List;
+import com.kamco.cd.training.hyperparam.dto.HyperParamDto.SearchReq;
 import com.kamco.cd.training.postgres.core.HyperParamCoreService;
 import java.util.UUID;
 import lombok.RequiredArgsConstructor;
@@ -19,11 +22,12 @@ public class HyperParamService {
   /**
    * 하이퍼 파라미터 목록 조회
    *
+   * @param model
    * @param req
    * @return 목록
    */
-  public Page<List> getHyperParamList(HyperParamDto.SearchReq req) {
-    return hyperParamCoreService.findByHyperVerList(req);
+  public Page<List> getHyperParamList(ModelType model, SearchReq req) {
+    return hyperParamCoreService.findByHyperVerList(model, req);
   }
 
   /**
@@ -33,8 +37,8 @@ public class HyperParamService {
    * @return 생성된 버전명
    */
   @Transactional
-  public String createHyperParam(HyperParamDto.HyperParamCreateReq createReq) {
-    return hyperParamCoreService.createHyperParam(createReq);
+  public String createHyperParam(HyperParam createReq) {
+    return hyperParamCoreService.createHyperParam(createReq).getHyperVer();
   }
 
   /**
@@ -44,7 +48,7 @@ public class HyperParamService {
    * @return
    */
   @Transactional
-  public String updateHyperParam(UUID uuid, HyperParamDto.HyperParamCreateReq createReq) {
+  public String updateHyperParam(UUID uuid, HyperParam createReq) {
     return hyperParamCoreService.updateHyperParam(uuid, createReq);
   }
 
@@ -58,8 +62,8 @@ public class HyperParamService {
   }
 
   /** 하이퍼파라미터 최적화 설정값 조회 */
-  public HyperParamDto.Basic getInitHyperParam() {
-    return hyperParamCoreService.getInitHyperParam();
+  public HyperParamDto.Basic getInitHyperParam(ModelType model) {
+    return hyperParamCoreService.getInitHyperParam(model);
   }
 
   /**

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

@@ -1,262 +0,0 @@
-package com.kamco.cd.training.model;
-
-import com.kamco.cd.training.config.api.ApiResponseDto;
-import com.kamco.cd.training.model.dto.ModelTrainDto;
-import com.kamco.cd.training.model.dto.ModelTrainDto.Basic;
-import com.kamco.cd.training.model.service.ModelMngService;
-import com.kamco.cd.training.model.service.ModelTrainService;
-import io.swagger.v3.oas.annotations.Operation;
-import io.swagger.v3.oas.annotations.Parameter;
-import io.swagger.v3.oas.annotations.media.Content;
-import io.swagger.v3.oas.annotations.media.Schema;
-import io.swagger.v3.oas.annotations.responses.ApiResponse;
-import io.swagger.v3.oas.annotations.responses.ApiResponses;
-import io.swagger.v3.oas.annotations.tags.Tag;
-import java.util.UUID;
-import lombok.RequiredArgsConstructor;
-import org.springframework.data.domain.Page;
-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.PostMapping;
-import org.springframework.web.bind.annotation.RequestBody;
-import org.springframework.web.bind.annotation.RequestMapping;
-import org.springframework.web.bind.annotation.RequestParam;
-import org.springframework.web.bind.annotation.RestController;
-
-@RestController
-@RequiredArgsConstructor
-@Tag(name = "모델학습 관리", description = "어드민 홈 > 모델학습관리 > 모델관리 > 목록")
-@RequestMapping("/api/models")
-public class ModelMngApiController {
-  private final ModelMngService modelMngService;
-  private final ModelTrainService modelTrainService;
-
-  @Operation(summary = "모델학습 목록 조회", description = "모델학습 목록 조회 API")
-  @ApiResponses(
-      value = {
-        @ApiResponse(
-            responseCode = "200",
-            description = "검색 성공",
-            content =
-                @Content(
-                    mediaType = "application/json",
-                    schema = @Schema(implementation = Page.class))),
-        @ApiResponse(responseCode = "400", description = "잘못된 검색 조건", content = @Content),
-        @ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
-      })
-  @GetMapping("/list")
-  public ApiResponseDto<Page<Basic>> findByModelList(
-      @Parameter(
-              description = "상태코드",
-              example = "IN_PROGRESS",
-              schema = @Schema(allowableValues = {"", "IN_PROGRESS", "COMPLETED"}))
-          @RequestParam(required = false)
-          String status,
-      @Parameter(description = "페이지 번호") @RequestParam(defaultValue = "0") int page,
-      @Parameter(description = "페이지 크기") @RequestParam(defaultValue = "20") int size) {
-    ModelTrainDto.SearchReq searchReq = new ModelTrainDto.SearchReq(status, page, size);
-    return ApiResponseDto.ok(modelMngService.getModelList(searchReq));
-  }
-
-  @Operation(summary = "학습 모델 삭제", description = "학습 모델 삭제 API")
-  @ApiResponses(
-      value = {
-        @ApiResponse(responseCode = "200", description = "삭제 성공", content = @Content),
-        @ApiResponse(responseCode = "409", description = "HPs_0001 삭제 불가", content = @Content)
-      })
-  @DeleteMapping("/{uuid}")
-  public ApiResponseDto<Void> deleteModelTrain(
-      @Parameter(description = "학습 모델 uuid", example = "f2b02229-90f2-45f5-92ea-c56cf1c29f79")
-          @PathVariable
-          UUID uuid) {
-    modelMngService.deleteModelTrain(uuid);
-    return ApiResponseDto.ok(null);
-  }
-
-  @Operation(summary = "학습 모델 등록", description = "학습 모델 등록 API")
-  @ApiResponses(
-      value = {
-        @ApiResponse(responseCode = "200", description = "등록 성공", content = @Content),
-        @ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
-      })
-  @PostMapping
-  public ApiResponseDto<String> createModelTrain(@RequestBody ModelTrainDto.AddReq modelTrainDto) {
-    return ApiResponseDto.ok(null);
-  }
-
-  //
-  //  @Operation(summary = "학습 모델 상세 조회", description = "학습 모델의 상세 정보를 UUID로 조회합니다")
-  //  @ApiResponses(
-  //      value = {
-  //        @ApiResponse(
-  //            responseCode = "200",
-  //            description = "조회 성공",
-  //            content =
-  //                @Content(
-  //                    mediaType = "application/json",
-  //                    schema = @Schema(implementation = ModelMngDto.Detail.class))),
-  //        @ApiResponse(responseCode = "404", description = "모델을 찾을 수 없음", content = @Content),
-  //        @ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
-  //      })
-  //  @GetMapping("/{uuid}")
-  //  public ApiResponseDto<ModelMngDto.Detail> getModelDetail(
-  //      @Parameter(description = "모델 UUID", example = "b7e99739-6736-45f9-a224-8161ecddf287")
-  //          @PathVariable
-  //          String uuid) {
-  //    return ApiResponseDto.ok(modelMngService.getModelDetailByUuid(uuid));
-  //  }
-  //
-  //  // ==================== 학습 모델학습관리 API (5종) ====================
-  //
-  //  @Operation(summary = "학습 모델 통합 조회", description = "학습 관리 화면에서 학습 이력 리스트와 현재 상태를 조회합니다")
-  //  @ApiResponses(
-  //      value = {
-  //        @ApiResponse(
-  //            responseCode = "200",
-  //            description = "조회 성공",
-  //            content =
-  //                @Content(
-  //                    mediaType = "application/json",
-  //                    schema = @Schema(implementation = List.class))),
-  //        @ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
-  //      })
-  //  @GetMapping("/train")
-  //  public ApiResponseDto<List<ModelMngDto.TrainListRes>> getTrainModelList() {
-  //    return ApiResponseDto.ok(modelTrainService.getTrainModelList());
-  //  }
-  //
-  //  @Operation(summary = "학습 설정 통합 조회", description = "학습 실행 팝업 구성에 필요한 모든 데이터를 한 번에 반환합니다")
-  //  @ApiResponses(
-  //      value = {
-  //        @ApiResponse(
-  //            responseCode = "200",
-  //            description = "조회 성공",
-  //            content =
-  //                @Content(
-  //                    mediaType = "application/json",
-  //                    schema = @Schema(implementation = ModelMngDto.FormConfigRes.class))),
-  //        @ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
-  //      })
-  //  @GetMapping("/train/form-config")
-  //  public ApiResponseDto<ModelMngDto.FormConfigRes> getFormConfig() {
-  //    return ApiResponseDto.ok(modelTrainService.getFormConfig());
-  //  }
-  //
-  //  @Operation(summary = "학습 시작", description = "모든 설정(Step 1~3)을 마치고 최종적으로 학습 프로세스를 시작합니다")
-  //  @ApiResponses(
-  //      value = {
-  //        @ApiResponse(
-  //            responseCode = "200",
-  //            description = "학습 시작 성공",
-  //            content =
-  //                @Content(
-  //                    mediaType = "application/json",
-  //                    schema = @Schema(implementation = ModelMngDto.TrainStartRes.class))),
-  //        @ApiResponse(responseCode = "400", description = "잘못된 요청", content = @Content),
-  //        @ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
-  //      })
-  //  @PostMapping("/train")
-  //  public ApiResponseDto<ModelMngDto.TrainStartRes> startTraining(
-  //      @Valid @RequestBody ModelMngDto.TrainStartReq trainReq) {
-  //    return ApiResponseDto.ok(modelTrainService.startTraining(trainReq));
-  //  }
-  //
-  //  @Operation(summary = "학습 모델 삭제", description = "목록에서 특정 학습 모델을 삭제합니다")
-  //  @ApiResponses(
-  //      value = {
-  //        @ApiResponse(responseCode = "200", description = "삭제 성공", content = @Content),
-  //        @ApiResponse(responseCode = "400", description = "진행 중인 모델은 삭제 불가", content = @Content),
-  //        @ApiResponse(responseCode = "404", description = "모델을 찾을 수 없음", content = @Content),
-  //        @ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
-  //      })
-  //  @DeleteMapping("/train/{uuid}")
-  //  public ApiResponseDto<Void> deleteTrainModel(
-  //      @Parameter(description = "모델 UUID") @PathVariable String uuid) {
-  //    modelTrainService.deleteTrainModel(uuid);
-  //    return ApiResponseDto.ok(null);
-  //  }
-  //
-  //  // ==================== Resume Training (학습 재시작) ====================
-  //
-  //  @Operation(summary = "학습 재시작 정보 조회", description = "중단된 학습의 재시작 가능 여부와 Checkpoint 정보를 조회합니다")
-  //  @ApiResponses(
-  //      value = {
-  //        @ApiResponse(
-  //            responseCode = "200",
-  //            description = "조회 성공",
-  //            content =
-  //                @Content(
-  //                    mediaType = "application/json",
-  //                    schema = @Schema(implementation = ModelMngDto.ResumeInfo.class))),
-  //        @ApiResponse(responseCode = "404", description = "모델을 찾을 수 없음", content = @Content),
-  //        @ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
-  //      })
-  //  @GetMapping("/train/{uuid}/resume-info")
-  //  public ApiResponseDto<ModelMngDto.ResumeInfo> getResumeInfo(
-  //      @Parameter(description = "모델 UUID") @PathVariable String uuid) {
-  //    return ApiResponseDto.ok(modelTrainService.getResumeInfo(uuid));
-  //  }
-  //
-  //  @Operation(summary = "학습 재시작", description = "중단된 지점(Checkpoint)부터 학습을 재개합니다")
-  //  @ApiResponses(
-  //      value = {
-  //        @ApiResponse(
-  //            responseCode = "200",
-  //            description = "재시작 성공",
-  //            content =
-  //                @Content(
-  //                    mediaType = "application/json",
-  //                    schema = @Schema(implementation = ModelMngDto.ResumeResponse.class))),
-  //        @ApiResponse(responseCode = "400", description = "재시작 불가능한 상태", content = @Content),
-  //        @ApiResponse(responseCode = "404", description = "모델을 찾을 수 없음", content = @Content),
-  //        @ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
-  //      })
-  //  @PostMapping("/train/{uuid}/resume")
-  //  public ApiResponseDto<ModelMngDto.ResumeResponse> resumeTraining(
-  //      @Parameter(description = "모델 UUID") @PathVariable String uuid,
-  //      @Valid @RequestBody ModelMngDto.ResumeRequest resumeReq) {
-  //    return ApiResponseDto.ok(modelTrainService.resumeTraining(uuid, resumeReq));
-  //  }
-  //
-  //  // ==================== Best Epoch Setting (Best Epoch 설정) ====================
-  //
-  //  @Operation(summary = "Best Epoch 설정", description = "사용자가 직접 Best Epoch를 선택하여 설정합니다")
-  //  @ApiResponses(
-  //      value = {
-  //        @ApiResponse(
-  //            responseCode = "200",
-  //            description = "설정 성공",
-  //            content =
-  //                @Content(
-  //                    mediaType = "application/json",
-  //                    schema = @Schema(implementation = ModelMngDto.BestEpochResponse.class))),
-  //        @ApiResponse(responseCode = "404", description = "모델을 찾을 수 없음", content = @Content),
-  //        @ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
-  //      })
-  //  @PostMapping("/train/{uuid}/best-epoch")
-  //  public ApiResponseDto<ModelMngDto.BestEpochResponse> setBestEpoch(
-  //      @Parameter(description = "모델 UUID") @PathVariable String uuid,
-  //      @Valid @RequestBody ModelMngDto.BestEpochRequest bestEpochReq) {
-  //    return ApiResponseDto.ok(modelTrainService.setBestEpoch(uuid, bestEpochReq));
-  //  }
-  //
-  //  @Operation(summary = "Epoch별 성능 지표 조회", description = "학습된 모델의 Epoch별 성능 지표를 조회합니다")
-  //  @ApiResponses(
-  //      value = {
-  //        @ApiResponse(
-  //            responseCode = "200",
-  //            description = "조회 성공",
-  //            content =
-  //                @Content(
-  //                    mediaType = "application/json",
-  //                    schema = @Schema(implementation = List.class))),
-  //        @ApiResponse(responseCode = "404", description = "모델을 찾을 수 없음", content = @Content),
-  //        @ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
-  //      })
-  //  @GetMapping("/train/{uuid}/epoch-metrics")
-  //  public ApiResponseDto<List<ModelMngDto.EpochMetric>> getEpochMetrics(
-  //      @Parameter(description = "모델 UUID") @PathVariable String uuid) {
-  //    return ApiResponseDto.ok(modelTrainService.getEpochMetrics(uuid));
-  //  }
-}

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

@@ -0,0 +1,225 @@
+package com.kamco.cd.training.model;
+
+import com.kamco.cd.training.config.api.ApiResponseDto;
+import com.kamco.cd.training.model.dto.ModelTrainDetailDto;
+import com.kamco.cd.training.model.dto.ModelTrainDetailDto.MappingDataset;
+import com.kamco.cd.training.model.dto.ModelTrainDetailDto.ModelBestEpoch;
+import com.kamco.cd.training.model.dto.ModelTrainDetailDto.ModelTestMetrics;
+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.service.ModelTrainDetailService;
+import io.swagger.v3.oas.annotations.Operation;
+import io.swagger.v3.oas.annotations.Parameter;
+import io.swagger.v3.oas.annotations.media.ArraySchema;
+import io.swagger.v3.oas.annotations.media.Content;
+import io.swagger.v3.oas.annotations.media.Schema;
+import io.swagger.v3.oas.annotations.responses.ApiResponse;
+import io.swagger.v3.oas.annotations.responses.ApiResponses;
+import io.swagger.v3.oas.annotations.tags.Tag;
+import java.util.List;
+import java.util.UUID;
+import lombok.RequiredArgsConstructor;
+import org.springframework.web.bind.annotation.GetMapping;
+import org.springframework.web.bind.annotation.PathVariable;
+import org.springframework.web.bind.annotation.RequestMapping;
+import org.springframework.web.bind.annotation.RestController;
+
+@RestController
+@RequiredArgsConstructor
+@Tag(name = "모델학습 관리", description = "어드민 홈 > 모델학습관리 > 모델관리 > 목록")
+@RequestMapping("/api/models")
+public class ModelTrainDetailApiController {
+  private final ModelTrainDetailService modelTrainDetailService;
+
+  @Operation(summary = "모델학습관리> 모델관리 > 상세정보탭 > 학습 진행정보", description = "학습 진행정보, 모델학습 정보 API")
+  @ApiResponses(
+      value = {
+        @ApiResponse(
+            responseCode = "200",
+            description = "조회 성공",
+            content =
+                @Content(
+                    mediaType = "application/json",
+                    schema = @Schema(implementation = Basic.class))),
+        @ApiResponse(responseCode = "404", description = "데이터셋을 찾을 수 없음", content = @Content),
+        @ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
+      })
+  @GetMapping("/detail/{uuid}")
+  public ApiResponseDto<Basic> findByModelByUUID(
+      @Parameter(description = "모델학습 uuid", example = "7fbdff54-ea87-4b02-90d1-955fa2a3457e")
+          @PathVariable
+          UUID uuid) {
+    return ApiResponseDto.ok(modelTrainDetailService.findByModelByUUID(uuid));
+  }
+
+  @Operation(summary = "모델학습관리> 모델관리 > 상세정보탭 > 요약정보", description = "상세정보 탭 요약정보 API")
+  @ApiResponses(
+      value = {
+        @ApiResponse(
+            responseCode = "200",
+            description = "조회 성공",
+            content =
+                @Content(
+                    mediaType = "application/json",
+                    schema = @Schema(implementation = ModelTrainDetailDto.DetailSummary.class))),
+        @ApiResponse(responseCode = "404", description = "데이터셋을 찾을 수 없음", content = @Content),
+        @ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
+      })
+  @GetMapping("/summary/{uuid}")
+  public ApiResponseDto<ModelTrainDetailDto.DetailSummary> getModelDetailSummary(
+      @Parameter(description = "모델학습 uuid", example = "7fbdff54-ea87-4b02-90d1-955fa2a3457e")
+          @PathVariable
+          UUID uuid) {
+    return ApiResponseDto.ok(modelTrainDetailService.getModelDetailSummary(uuid));
+  }
+
+  @Operation(summary = "모델학습관리> 모델관리 > 상세정보탭 > 하이퍼파라미터 요약 정보", description = "하이퍼파라미터 요약 정보 API")
+  @ApiResponses(
+      value = {
+        @ApiResponse(
+            responseCode = "200",
+            description = "조회 성공",
+            content =
+                @Content(
+                    mediaType = "application/json",
+                    schema = @Schema(implementation = ModelTrainDetailDto.HyperSummary.class))),
+        @ApiResponse(responseCode = "404", description = "데이터셋을 찾을 수 없음", content = @Content),
+        @ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
+      })
+  @GetMapping("/hyper-summary/{uuid}")
+  public ApiResponseDto<ModelTrainDetailDto.HyperSummary> getByModelHyperParamSummary(
+      @Parameter(description = "모델학습 uuid", example = "7fbdff54-ea87-4b02-90d1-955fa2a3457e")
+          @PathVariable
+          UUID uuid) {
+    return ApiResponseDto.ok(modelTrainDetailService.getByModelHyperParamSummary(uuid));
+  }
+
+  @Operation(summary = "모델학습관리> 모델관리 > 상세정보탭 > 데이터셋 정보", description = "모델학습 상세 데이터셋 정보 API")
+  @ApiResponses({
+    @ApiResponse(
+        responseCode = "200",
+        description = "조회 성공",
+        content =
+            @Content(
+                mediaType = "application/json",
+                array = @ArraySchema(schema = @Schema(implementation = MappingDataset.class)))),
+    @ApiResponse(responseCode = "404", description = "데이터셋을 찾을 수 없음"),
+    @ApiResponse(responseCode = "500", description = "서버 오류")
+  })
+  @GetMapping("/mapp-dataset/{uuid}")
+  public ApiResponseDto<List<MappingDataset>> getByModelMappingDataset(
+      @Parameter(description = "모델학습 uuid", example = "7fbdff54-ea87-4b02-90d1-955fa2a3457e")
+          @PathVariable
+          UUID uuid) {
+    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 > 모델 상세 > 성능 정보 (Train)", description = "모델 상세 > 성능 정보 (Train) 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("/metrics/train/{uuid}")
+  public ApiResponseDto<List<ModelTrainMetrics>> getModelTrainMetricResult(
+      @Parameter(description = "모델 uuid", example = "95cb116c-380a-41c0-98d8-4d1142f15bbf")
+          @PathVariable
+          UUID uuid) {
+    return ApiResponseDto.ok(modelTrainDetailService.getModelTrainMetricResult(uuid));
+  }
+
+  @Operation(
+      summary = "모델관리 > 모델 상세 > 성능 정보 (Validation)",
+      description = "모델 상세 > 성능 정보 (Validation) 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("/metrics/validation/{uuid}")
+  public ApiResponseDto<List<ModelValidationMetrics>> getModelValidationMetricResult(
+      @Parameter(description = "모델 uuid", example = "95cb116c-380a-41c0-98d8-4d1142f15bbf")
+          @PathVariable
+          UUID uuid) {
+    return ApiResponseDto.ok(modelTrainDetailService.getModelValidationMetricResult(uuid));
+  }
+
+  @Operation(summary = "모델관리 > 모델 상세 > 성능 정보 (Test)", description = "모델 상세 > 성능 정보 (Test) 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("/metrics/test/{uuid}")
+  public ApiResponseDto<List<ModelTestMetrics>> getModelTestMetricResult(
+      @Parameter(description = "모델 uuid", example = "95cb116c-380a-41c0-98d8-4d1142f15bbf")
+          @PathVariable
+          UUID uuid) {
+    return ApiResponseDto.ok(modelTrainDetailService.getModelTestMetricResult(uuid));
+  }
+
+  @Operation(summary = "모델관리 > 모델 상세 > 성능 정보 (Test)", description = "모델 상세 > 성능 정보 (Test) 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("/best-epoch/{uuid}")
+  public ApiResponseDto<ModelBestEpoch> getModelTrainBestEpoch(
+      @Parameter(description = "모델 uuid", example = "95cb116c-380a-41c0-98d8-4d1142f15bbf")
+          @PathVariable
+          UUID uuid) {
+    return ApiResponseDto.ok(modelTrainDetailService.getModelTrainBestEpoch(uuid));
+  }
+}

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

@@ -0,0 +1,169 @@
+package com.kamco.cd.training.model;
+
+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;
+import com.kamco.cd.training.dataset.dto.DatasetDto.SelectDataSet;
+import com.kamco.cd.training.model.dto.ModelConfigDto;
+import com.kamco.cd.training.model.dto.ModelTrainMngDto;
+import com.kamco.cd.training.model.dto.ModelTrainMngDto.Basic;
+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.media.Content;
+import io.swagger.v3.oas.annotations.media.Schema;
+import io.swagger.v3.oas.annotations.responses.ApiResponse;
+import io.swagger.v3.oas.annotations.responses.ApiResponses;
+import io.swagger.v3.oas.annotations.tags.Tag;
+import jakarta.validation.Valid;
+import java.util.List;
+import java.util.UUID;
+import lombok.RequiredArgsConstructor;
+import org.springframework.data.domain.Page;
+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.PostMapping;
+import org.springframework.web.bind.annotation.RequestBody;
+import org.springframework.web.bind.annotation.RequestMapping;
+import org.springframework.web.bind.annotation.RequestParam;
+import org.springframework.web.bind.annotation.RestController;
+
+@RestController
+@RequiredArgsConstructor
+@Tag(name = "모델학습 관리", description = "어드민 홈 > 모델학습관리 > 모델관리 > 목록")
+@RequestMapping("/api/models")
+public class ModelTrainMngApiController {
+  private final ModelTrainMngService modelTrainMngService;
+
+  @Operation(summary = "모델학습 목록 조회", description = "모델학습 목록 조회 API")
+  @ApiResponses(
+      value = {
+        @ApiResponse(
+            responseCode = "200",
+            description = "검색 성공",
+            content =
+                @Content(
+                    mediaType = "application/json",
+                    schema = @Schema(implementation = Page.class))),
+        @ApiResponse(responseCode = "400", description = "잘못된 검색 조건", content = @Content),
+        @ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
+      })
+  @GetMapping("/list")
+  public ApiResponseDto<Page<Basic>> findByModelList(
+      @Parameter(
+              description = "상태코드",
+              example = "IN_PROGRESS",
+              schema = @Schema(allowableValues = {"", "IN_PROGRESS", "COMPLETED"}))
+          @RequestParam(required = false)
+          String status,
+      @Parameter(
+              description = "모델",
+              example = "G1",
+              schema = @Schema(allowableValues = {"G1", "G2", "G3"}))
+          @RequestParam(required = false)
+          String modelNo,
+      @Parameter(description = "페이지 번호") @RequestParam(defaultValue = "0") int page,
+      @Parameter(description = "페이지 크기") @RequestParam(defaultValue = "20") int size) {
+    ModelTrainMngDto.SearchReq searchReq =
+        new ModelTrainMngDto.SearchReq(status, modelNo, page, size);
+    return ApiResponseDto.ok(modelTrainMngService.getModelList(searchReq));
+  }
+
+  @Operation(summary = "학습 모델 삭제", description = "학습 모델 삭제 API")
+  @ApiResponses(
+      value = {
+        @ApiResponse(responseCode = "200", description = "삭제 성공", content = @Content),
+        @ApiResponse(responseCode = "409", description = "G1_000001 삭제 불가", content = @Content)
+      })
+  @DeleteMapping("/{uuid}")
+  public ApiResponseDto<Void> deleteModelTrain(
+      @Parameter(description = "학습 모델 uuid", example = "f2b02229-90f2-45f5-92ea-c56cf1c29f79")
+          @PathVariable UUID uuid) {
+    modelTrainMngService.deleteModelTrain(uuid);
+    return ApiResponseDto.ok(null);
+  }
+
+  @Operation(summary = "학습 모델 등록", description = "학습 모델 등록 API")
+  @ApiResponses(
+      value = {
+        @ApiResponse(responseCode = "200", description = "등록 성공", content = @Content),
+        @ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
+      })
+  @PostMapping
+  public ApiResponseDto<UUID> createModelTrain(@Valid @RequestBody ModelTrainMngDto.AddReq req) {
+    return ApiResponseDto.ok(modelTrainMngService.createModelTrain(req));
+  }
+
+  @Operation(summary = "모델학습 config 정보 조회", description = "모델학습 config 정보 조회 API")
+  @ApiResponses(
+      value = {
+        @ApiResponse(
+            responseCode = "200",
+            description = "검색 성공",
+            content =
+                @Content(
+                    mediaType = "application/json",
+                    schema = @Schema(implementation = ModelConfigDto.Basic.class))),
+        @ApiResponse(responseCode = "400", description = "잘못된 검색 조건", content = @Content),
+        @ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
+      })
+  @GetMapping("/config/{uuid}")
+  public ApiResponseDto<ModelConfigDto.Basic> updateModelTrain(
+      @Parameter(description = "모델학습 uuid", example = "7fbdff54-ea87-4b02-90d1-955fa2a3457e")
+          @PathVariable
+          UUID uuid) {
+    return ApiResponseDto.ok(modelTrainMngService.getModelConfigByModelId(uuid));
+  }
+
+  @Operation(summary = "모델별 데이터셋 목록 조회", description = "모델별 데이터셋 목록 조회 API")
+  @ApiResponses(
+      value = {
+        @ApiResponse(
+            responseCode = "200",
+            description = "조회 성공",
+            content =
+                @Content(
+                    mediaType = "application/json",
+                    schema = @Schema(implementation = DatasetDto.Basic.class))),
+        @ApiResponse(responseCode = "404", description = "데이터셋을 찾을 수 없음", content = @Content),
+        @ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
+      })
+  @GetMapping("/select-dataset-list")
+  public ApiResponseDto<List<SelectDataSet>> getDatasetSelectList(
+      @Parameter(
+              description = "모델 구분",
+              example = "",
+              schema = @Schema(allowableValues = {"G1", "G2", "G3"}))
+          @RequestParam
+          String modelType,
+      @Parameter(
+              description = "선택 구분",
+              example = "",
+              schema = @Schema(allowableValues = {"CURRENT", "DELIVER", "PRODUCTION"}))
+          @RequestParam
+          String selectType) {
+    DatasetReq req = new DatasetReq();
+    req.setModelNo(modelType);
+    req.setDataType(selectType);
+    return ApiResponseDto.ok(modelTrainMngService.getDatasetSelectList(req));
+  }
+
+  @Operation(summary = "모델학습 1단계 실행중인 것이 있는지 count", description = "모델학습 1단계 실행중인 것이 있는지 count")
+  @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("/ing-training-cnt")
+  public ApiResponseDto<Long> findModelStep1InProgressCnt() {
+    return ApiResponseDto.ok(modelTrainMngService.findModelStep1InProgressCnt());
+  }
+}

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

@@ -0,0 +1,23 @@
+package com.kamco.cd.training.model.dto;
+
+import lombok.AllArgsConstructor;
+import lombok.Getter;
+import lombok.NoArgsConstructor;
+import lombok.Setter;
+
+public class ModelConfigDto {
+
+  @Getter
+  @Setter
+  @NoArgsConstructor
+  @AllArgsConstructor
+  public static class Basic {
+    private Long configId;
+    private Long modelId;
+    private Integer epochCount;
+    private Float trainPercent;
+    private Float validationPercent;
+    private Float testPercent;
+    private String memo;
+  }
+}

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

@@ -1,374 +0,0 @@
-package com.kamco.cd.training.model.dto;
-
-import com.kamco.cd.training.common.utils.interfaces.JsonFormatDttm;
-import io.swagger.v3.oas.annotations.media.Schema;
-import jakarta.validation.constraints.NotBlank;
-import jakarta.validation.constraints.NotEmpty;
-import jakarta.validation.constraints.NotNull;
-import java.time.ZonedDateTime;
-import java.util.List;
-import java.util.Map;
-import lombok.AllArgsConstructor;
-import lombok.Builder;
-import lombok.Getter;
-import lombok.NoArgsConstructor;
-import lombok.Setter;
-
-public class ModelMngDto {
-
-  @Schema(name = "Detail", description = "모델 상세 정보")
-  @Getter
-  @Builder
-  public static class Detail {
-    private String uuid;
-    private String modelVer;
-    private String hyperVer;
-    private String epochVer;
-    private String processStep;
-    private String statusCd;
-    private String statusText;
-
-    @JsonFormatDttm private ZonedDateTime trainStartDttm;
-
-    private Integer epochCnt;
-    private String datasetRatio;
-    private Integer bestEpoch;
-    private Integer confirmedBestEpoch;
-
-    @JsonFormatDttm private ZonedDateTime step1EndDttm;
-
-    private ZonedDateTime step1Duration;
-
-    @JsonFormatDttm private ZonedDateTime step2EndDttm;
-
-    private ZonedDateTime step2Duration;
-    private Integer progressRate;
-
-    @JsonFormatDttm private ZonedDateTime createdDttm;
-
-    @JsonFormatDttm private ZonedDateTime updatedDttm;
-
-    private String modelPath;
-    private String errorMsg;
-  }
-
-  @Schema(name = "TrainListRes", description = "학습 모델 목록 응답")
-  @Getter
-  @Setter
-  @NoArgsConstructor
-  @AllArgsConstructor
-  @Builder
-  public static class TrainListRes {
-    private String uuid;
-    private String modelVer;
-    private String status;
-    private String processStep;
-
-    @JsonFormatDttm private ZonedDateTime trainStartDttm;
-
-    private Integer progressRate;
-    private Integer epochCnt;
-
-    @JsonFormatDttm private ZonedDateTime step1EndDttm;
-
-    private ZonedDateTime step1Duration;
-
-    @JsonFormatDttm private ZonedDateTime step2EndDttm;
-
-    private ZonedDateTime step2Duration;
-
-    @JsonFormatDttm private ZonedDateTime createdDttm;
-
-    private String errorMsg;
-
-    private Boolean canResume;
-    private Integer lastCheckpointEpoch;
-  }
-
-  @Schema(name = "FormConfigRes", description = "학습 설정 통합 조회 응답")
-  @Getter
-  @Setter
-  @NoArgsConstructor
-  @AllArgsConstructor
-  @Builder
-  public static class FormConfigRes {
-    private Boolean isTrainAvailable;
-    private List<HyperParamInfo> hyperParams;
-    private List<DatasetInfo> datasets;
-    private String runningModelUuid;
-  }
-
-  @Schema(name = "HyperParamInfo", description = "하이퍼파라미터 정보")
-  @Getter
-  @Setter
-  @NoArgsConstructor
-  @AllArgsConstructor
-  @Builder
-  public static class HyperParamInfo {
-    @Schema(description = "하이퍼파라미터 버전", example = "V3.99.251221.120518")
-    private String hyperVer;
-
-    // Important
-    @Schema(description = "백본", example = "large")
-    private String backbone;
-
-    @Schema(description = "입력 사이즈", example = "256,256")
-    private String inputSize;
-
-    @Schema(description = "크롭 사이즈", example = "256,256")
-    private String cropSize;
-
-    @Schema(description = "에폭 수", example = "200")
-    private Integer epochCnt;
-
-    @Schema(description = "배치 사이즈", example = "16")
-    private Integer batchSize;
-
-    // Architecture
-    @Schema(description = "Drop Path Rate", example = "0.3")
-    private Double dropPathRate;
-
-    @Schema(description = "Frozen Stages", example = "-1")
-    private Integer frozenStages;
-
-    @Schema(description = "Neck Policy", example = "abs_diff")
-    private String neckPolicy;
-
-    @Schema(description = "Decoder Channels", example = "512,256,128,64")
-    private String decoderChannels;
-
-    @Schema(description = "Class Weight", example = "1,1")
-    private String classWeight;
-
-    @Schema(description = "레이어 수", example = "24")
-    private Integer numLayers;
-
-    // Optimization
-    @Schema(description = "Learning Rate", example = "0.00006")
-    private Double learningRate;
-
-    @Schema(description = "Weight Decay", example = "0.05")
-    private Double weightDecay;
-
-    @Schema(description = "Layer Decay Rate", example = "0.9")
-    private Double layerDecayRate;
-
-    @Schema(description = "DDP Unused Params 찾기", example = "true")
-    private Boolean ddpFindUnusedParams;
-
-    @Schema(description = "Ignore Index", example = "255")
-    private Integer ignoreIndex;
-
-    // Data
-    @Schema(description = "Train Workers", example = "16")
-    private Integer trainNumWorkers;
-
-    @Schema(description = "Val Workers", example = "8")
-    private Integer valNumWorkers;
-
-    @Schema(description = "Test Workers", example = "8")
-    private Integer testNumWorkers;
-
-    @Schema(description = "Train Shuffle", example = "true")
-    private Boolean trainShuffle;
-
-    @Schema(description = "Train Persistent", example = "true")
-    private Boolean trainPersistent;
-
-    @Schema(description = "Val Persistent", example = "true")
-    private Boolean valPersistent;
-
-    // Evaluation
-    @Schema(description = "Metrics", example = "mFscore,mIoU")
-    private String metrics;
-
-    @Schema(description = "Save Best", example = "changed_fscore")
-    private String saveBest;
-
-    @Schema(description = "Save Best Rule", example = "greater")
-    private String saveBestRule;
-
-    @Schema(description = "Val Interval", example = "10")
-    private Integer valInterval;
-
-    @Schema(description = "Log Interval", example = "400")
-    private Integer logInterval;
-
-    @Schema(description = "Vis Interval", example = "1")
-    private Integer visInterval;
-
-    // Hardware
-    @Schema(description = "GPU 수", example = "4")
-    private Integer gpuCnt;
-
-    @Schema(description = "GPU IDs", example = "0,1,2,3")
-    private String gpuIds;
-
-    @Schema(description = "Master Port", example = "1122")
-    private Integer masterPort;
-
-    // Augmentation
-    @Schema(description = "Rotation 확률", example = "0.5")
-    private Double rotProb;
-
-    @Schema(description = "Flip 확률", example = "0.5")
-    private Double flipProb;
-
-    @Schema(description = "Rotation 각도", example = "-20,20")
-    private String rotDegree;
-
-    @Schema(description = "Exchange 확률", example = "0.5")
-    private Double exchangeProb;
-
-    @Schema(description = "Brightness Delta", example = "10")
-    private Integer brightnessDelta;
-
-    @Schema(description = "Contrast Range", example = "0.8,1.2")
-    private String contrastRange;
-
-    @Schema(description = "Saturation Range", example = "0.8,1.2")
-    private String saturationRange;
-
-    @Schema(description = "Hue Delta", example = "10")
-    private Integer hueDelta;
-
-    // Legacy
-    private Double dropoutRatio;
-    private Integer cnnFilterCnt;
-
-    // Common
-    @Schema(description = "메모", example = "안녕하세요 캠코담당자 입니다. 하이퍼파라미터 신규등록합니다")
-    private String memo;
-
-    @JsonFormatDttm private ZonedDateTime createdDttm;
-  }
-
-  @Schema(name = "DatasetInfo", description = "데이터셋 정보")
-  @Getter
-  @Setter
-  @NoArgsConstructor
-  @AllArgsConstructor
-  @Builder
-  public static class DatasetInfo {
-    private Long id;
-    private String title;
-    private String groupTitle;
-    private Long totalItems;
-    private String totalSize;
-    private Map<String, Integer> classCounts;
-    private String memo;
-
-    @JsonFormatDttm private ZonedDateTime createdDttm;
-  }
-
-  @Schema(name = "TrainStartReq", description = "학습 시작 요청")
-  @Getter
-  @Setter
-  @NoArgsConstructor
-  @AllArgsConstructor
-  public static class TrainStartReq {
-    @NotBlank(message = "하이퍼파라미터 버전은 필수입니다")
-    @Schema(example = "V3.99.251221.120518")
-    private String hyperVer;
-
-    @NotEmpty(message = "데이터셋은 최소 1개 이상 선택해야 합니다")
-    private List<Long> datasetIds;
-
-    @NotNull(message = "에폭 수는 필수입니다")
-    @jakarta.validation.constraints.Min(value = 1, message = "에폭 수는 최소 1 이상이어야 합니다")
-    @jakarta.validation.constraints.Max(value = 200, message = "에폭 수는 최대 200까지 설정 가능합니다")
-    @Schema(example = "200")
-    private Integer epoch;
-
-    @Schema(example = "7:2:1", description = "데이터 분할 비율 (Training:Validation:Test)")
-    private String datasetRatio;
-  }
-
-  @Schema(name = "TrainStartRes", description = "학습 시작 응답")
-  @Getter
-  @Setter
-  @NoArgsConstructor
-  @AllArgsConstructor
-  @Builder
-  public static class TrainStartRes {
-    private String uuid;
-    private String status;
-  }
-
-  @Schema(name = "ResumeInfo", description = "학습 재시작 정보")
-  @Getter
-  @Setter
-  @NoArgsConstructor
-  @AllArgsConstructor
-  @Builder
-  public static class ResumeInfo {
-    private Boolean canResume;
-    private Integer lastEpoch;
-    private Integer totalEpoch;
-    private String checkpointPath;
-    @JsonFormatDttm private ZonedDateTime failedAt;
-  }
-
-  @Schema(name = "ResumeRequest", description = "학습 재시작 요청")
-  @Getter
-  @Setter
-  @NoArgsConstructor
-  @AllArgsConstructor
-  public static class ResumeRequest {
-    @NotNull(message = "재시작 Epoch는 필수입니다")
-    private Integer resumeFromEpoch;
-
-    private Integer newTotalEpoch;
-  }
-
-  @Schema(name = "ResumeResponse", description = "학습 재시작 응답")
-  @Getter
-  @Setter
-  @NoArgsConstructor
-  @AllArgsConstructor
-  @Builder
-  public static class ResumeResponse {
-    private String uuid;
-    private String status;
-    private Integer resumedFromEpoch;
-  }
-
-  @Schema(name = "BestEpochRequest", description = "Best Epoch 설정 요청")
-  @Getter
-  @Setter
-  @NoArgsConstructor
-  @AllArgsConstructor
-  public static class BestEpochRequest {
-    @NotNull(message = "Best Epoch는 필수입니다")
-    private Integer bestEpoch;
-
-    private String reason;
-  }
-
-  @Schema(name = "BestEpochResponse", description = "Best Epoch 설정 응답")
-  @Getter
-  @Setter
-  @NoArgsConstructor
-  @AllArgsConstructor
-  @Builder
-  public static class BestEpochResponse {
-    private String uuid;
-    private Integer bestEpoch;
-    private Integer confirmedBestEpoch;
-    private Integer previousBestEpoch;
-  }
-
-  @Schema(name = "EpochMetric", description = "Epoch별 성능 지표")
-  @Getter
-  @Setter
-  @NoArgsConstructor
-  @AllArgsConstructor
-  @Builder
-  public static class EpochMetric {
-    private Integer epoch;
-    private Double mIoU;
-    private Double mFscore;
-    private Double loss;
-    private Boolean isBest;
-  }
-}

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

@@ -0,0 +1,248 @@
+package com.kamco.cd.training.model.dto;
+
+import com.fasterxml.jackson.annotation.JsonInclude;
+import com.kamco.cd.training.common.enums.LearnDataType;
+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 io.swagger.v3.oas.annotations.media.Schema;
+import java.time.Duration;
+import java.time.ZonedDateTime;
+import java.util.List;
+import java.util.UUID;
+import lombok.AllArgsConstructor;
+import lombok.Builder;
+import lombok.Getter;
+import lombok.NoArgsConstructor;
+import lombok.Setter;
+
+public class ModelTrainDetailDto {
+  @Schema(name = "모델학습관리 목록", description = "모델학습관리 목록")
+  @Getter
+  @Setter
+  @NoArgsConstructor
+  @AllArgsConstructor
+  @Builder
+  public static class DetailSummary {
+
+    private Long modelId;
+    private UUID uuid;
+    private String modelNo;
+    private String modelVer;
+    @JsonFormatDttm private ZonedDateTime step1StrtDttm;
+    @JsonFormatDttm private ZonedDateTime step2EndDttm;
+    private String statusCd;
+    private String trainType;
+
+    public String getStatusName() {
+      if (this.statusCd == null || this.statusCd.isBlank()) return null;
+      try {
+        return TrainStatusType.valueOf(this.statusCd).getText(); // 또는 getName()
+      } catch (IllegalArgumentException e) {
+        return this.statusCd; // 매핑 못하면 코드 그대로 반환(원하면 null 처리)
+      }
+    }
+
+    public String getTrainTypeName() {
+      if (this.trainType == null || this.trainType.isBlank()) return null;
+      try {
+        return TrainType.valueOf(this.trainType).getText(); // 또는 getName()
+      } catch (IllegalArgumentException e) {
+        return this.trainType; // 매핑 못하면 코드 그대로 반환(원하면 null 처리)
+      }
+    }
+
+    private String formatDuration(ZonedDateTime start, ZonedDateTime end) {
+      if (end == null) {
+        end = ZonedDateTime.now();
+      }
+
+      if (start == null) {
+        return null;
+      }
+
+      long totalSeconds = Math.abs(Duration.between(start, end).getSeconds());
+
+      long hours = totalSeconds / 3600;
+      long minutes = (totalSeconds % 3600) / 60;
+      long seconds = totalSeconds % 60;
+
+      return String.format("%d시간 %d분 %d초", hours, minutes, seconds);
+    }
+
+    public String getStepAllDuration() {
+      return formatDuration(this.step1StrtDttm, this.step2EndDttm);
+    }
+  }
+
+  @Schema(name = "모델학습관리 목록", description = "모델학습관리 목록")
+  @Getter
+  @Setter
+  @NoArgsConstructor
+  @AllArgsConstructor
+  @Builder
+  public static class HyperSummary {
+    private UUID uuid;
+    private Long hyperParamId;
+    private String hyperVer;
+    private String backbone;
+    private String inputSize;
+    private String cropSize;
+    private Integer batchSize;
+  }
+
+  @Schema(name = "모델학습관리 전이 하이파라미터", description = "모델학습관리 전이 하이파라미터")
+  @Getter
+  @Setter
+  @NoArgsConstructor
+  @AllArgsConstructor
+  @Builder
+  public static class TransferHyperSummary {
+    private UUID uuid;
+    private Long hyperParamId;
+    private String hyperVer;
+    private String backbone;
+    private String inputSize;
+    private String cropSize;
+    private Integer batchSize;
+    private UUID beforeUuid;
+    private Long beforeHyperParamId;
+    private String beforeHyperVer;
+    private String beforeBackbone;
+    private String beforeInputSize;
+    private String beforeCropSize;
+    private Integer beforeBatchSize;
+  }
+
+  @Schema(name = "선택한 데이터셋 목록", description = "선택한 데이터셋 목록")
+  @Getter
+  @Setter
+  @NoArgsConstructor
+  public static class MappingDataset {
+    private Long modelId;
+    private Long datasetId;
+    private String dataType;
+    private Integer compareYyyy;
+    private Integer targetYyyy;
+    private Long roundNo;
+    private String dataTypeName;
+
+    @JsonInclude(JsonInclude.Include.NON_NULL)
+    private Long buildingCnt;
+
+    @JsonInclude(JsonInclude.Include.NON_NULL)
+    private Long containerCnt;
+
+    @JsonInclude(JsonInclude.Include.NON_NULL)
+    private Long wasteCnt;
+
+    @JsonInclude(JsonInclude.Include.NON_NULL)
+    private Long landCoverCnt;
+
+    public MappingDataset(
+        Long modelId,
+        Long datasetId,
+        String dataType,
+        Integer compareYyyy,
+        Integer targetYyyy,
+        Long roundNo,
+        Long buildingCnt,
+        Long containerCnt,
+        Long wasteCnt,
+        Long landCoverCnt) {
+      this.modelId = modelId;
+      this.datasetId = datasetId;
+      this.dataType = dataType;
+      this.compareYyyy = compareYyyy;
+      this.targetYyyy = targetYyyy;
+      this.roundNo = roundNo;
+      this.buildingCnt = buildingCnt;
+      this.containerCnt = containerCnt;
+      this.wasteCnt = wasteCnt;
+      this.landCoverCnt = landCoverCnt;
+      this.dataTypeName = getDataTypeName(this.dataType);
+    }
+
+    public String getDataTypeName(String groupTitleCd) {
+      LearnDataType type = Enums.fromId(LearnDataType.class, groupTitleCd);
+      return type == null ? null : type.getText();
+    }
+  }
+
+  @Getter
+  @Setter
+  @NoArgsConstructor
+  @AllArgsConstructor
+  public static class TransferDetailDto {
+    private ModelConfigDto.Basic etcConfig;
+    private TransferHyperSummary modelTrainHyper;
+    private List<SelectDataSet> modelTrainDataset;
+  }
+
+  @Getter
+  @Setter
+  @NoArgsConstructor
+  @AllArgsConstructor
+  public static class ModelTrainMetrics {
+    private Integer epoch;
+    private Long iteration;
+    private Double loss;
+    private Double lr;
+    private Float durationTime;
+  }
+
+  @Getter
+  @Setter
+  @NoArgsConstructor
+  @AllArgsConstructor
+  public static class ModelValidationMetrics {
+
+    private Integer epoch;
+    private Float aAcc;
+    private Float mFscore;
+    private Float mPrecision;
+    private Float mRecall;
+    private Float mIou;
+    private Float mAcc;
+    private Float changedFscore;
+    private Float changedPrecision;
+    private Float changedRecall;
+    private Float unchangedFscore;
+    private Float unchangedPrecision;
+    private Float unchangedRecall;
+  }
+
+  @Getter
+  @Setter
+  @NoArgsConstructor
+  @AllArgsConstructor
+  public static class ModelTestMetrics {
+    private String model;
+    private Long tp;
+    private Long fp;
+    private Long fn;
+    private Float precision;
+    private Float recall;
+    private Float f1Score;
+    private Float accuracy;
+    private Float iou;
+    private Long detectionCount;
+    private Long gtCount;
+  }
+
+  @Getter
+  @Setter
+  @NoArgsConstructor
+  @AllArgsConstructor
+  public static class ModelBestEpoch {
+    private Integer epoch;
+    private Double loss;
+    private Float f1Score;
+    private Float precision;
+    private Float recall;
+    private Float iou;
+    private Float accuracy;
+  }
+}

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

@@ -1,336 +0,0 @@
-package com.kamco.cd.training.model.dto;
-
-import com.kamco.cd.training.common.enums.TrainStatusType;
-import com.kamco.cd.training.common.enums.TrainType;
-import com.kamco.cd.training.common.utils.interfaces.JsonFormatDttm;
-import io.swagger.v3.oas.annotations.media.Schema;
-import jakarta.validation.constraints.NotNull;
-import java.time.Duration;
-import java.time.ZonedDateTime;
-import java.util.List;
-import java.util.UUID;
-import lombok.AllArgsConstructor;
-import lombok.Builder;
-import lombok.Getter;
-import lombok.NoArgsConstructor;
-import lombok.Setter;
-import org.springframework.data.domain.PageRequest;
-import org.springframework.data.domain.Pageable;
-
-public class ModelTrainDto {
-  @Schema(name = "모델학습관리 목록", description = "모델학습관리 목록")
-  @Getter
-  @Setter
-  @NoArgsConstructor
-  @AllArgsConstructor
-  @Builder
-  public static class Basic {
-
-    private Long id;
-    private UUID uuid;
-    private String modelVer;
-    @JsonFormatDttm private ZonedDateTime startDttm;
-    @JsonFormatDttm private ZonedDateTime step1StrtDttm;
-    @JsonFormatDttm private ZonedDateTime step1EndDttm;
-    @JsonFormatDttm private ZonedDateTime step2StrtDttm;
-    @JsonFormatDttm private ZonedDateTime step2EndDttm;
-    private String step1Status;
-    private String step2Status;
-    private String statusCd;
-    private String trainType;
-
-    public String getStatusName() {
-      if (this.statusCd == null || this.statusCd.isBlank()) return null;
-      try {
-        return TrainStatusType.valueOf(this.statusCd).getText(); // 또는 getName()
-      } catch (IllegalArgumentException e) {
-        return this.statusCd; // 매핑 못하면 코드 그대로 반환(원하면 null 처리)
-      }
-    }
-
-    public String getStep1StatusName() {
-      if (this.step1Status == null || this.step1Status.isBlank()) return null;
-      try {
-        return TrainStatusType.valueOf(this.step1Status).getText(); // 또는 getName()
-      } catch (IllegalArgumentException e) {
-        return this.step1Status; // 매핑 못하면 코드 그대로 반환(원하면 null 처리)
-      }
-    }
-
-    public String getStep2StatusNAme() {
-      if (this.step2Status == null || this.step2Status.isBlank()) return null;
-      try {
-        return TrainStatusType.valueOf(this.step2Status).getText(); // 또는 getName()
-      } catch (IllegalArgumentException e) {
-        return this.step2Status; // 매핑 못하면 코드 그대로 반환(원하면 null 처리)
-      }
-    }
-
-    public String getTrainTypeName() {
-      if (this.trainType == null || this.trainType.isBlank()) return null;
-      try {
-        return TrainType.valueOf(this.trainType).getText(); // 또는 getName()
-      } catch (IllegalArgumentException e) {
-        return this.trainType; // 매핑 못하면 코드 그대로 반환(원하면 null 처리)
-      }
-    }
-
-    private String formatDuration(ZonedDateTime start, ZonedDateTime end) {
-      if (start == null || end == null) {
-        return null;
-      }
-
-      long totalSeconds = Math.abs(Duration.between(start, end).getSeconds());
-
-      long hours = totalSeconds / 3600;
-      long minutes = (totalSeconds % 3600) / 60;
-      long seconds = totalSeconds % 60;
-
-      return String.format("%d시간 %d분 %d초", hours, minutes, seconds);
-    }
-
-    public String getStep1Duration() {
-      return formatDuration(this.step1StrtDttm, this.step1EndDttm);
-    }
-
-    public String getStep2Duration() {
-      return formatDuration(this.step2StrtDttm, this.step2EndDttm);
-    }
-  }
-
-  @Schema(name = "searchReq", description = "모델학습 관리 목록조회 파라미터")
-  @Getter
-  @Setter
-  @NoArgsConstructor
-  @AllArgsConstructor
-  public static class SearchReq {
-
-    private String status;
-    // 페이징 파라미터
-    private int page = 0;
-    private int size = 20;
-
-    public Pageable toPageable() {
-      return PageRequest.of(page, size);
-    }
-  }
-
-  @Schema(name = "addReq", description = "모델학습 관리 등록 파라미터")
-  @Getter
-  @Setter
-  @NoArgsConstructor
-  @AllArgsConstructor
-  public static class AddReq {
-    HyperParamDto hyperParam;
-    TrainingDataConfigDto trainingDataConfig;
-    EtcConfig etcConfig;
-  }
-
-  /** 학습실행설정 하이퍼파라미터 설정 */
-  @Schema(name = "하이퍼파라미터 설정", description = "학습실행설정 >  하이퍼파라미터 설정")
-  @Getter
-  @Setter
-  public static class HyperParamDto {
-
-    @NotNull
-    @Schema(
-        description = "OPTIMIZED(최적화 파라미터),EXISTING(기존 파라미터),NEW(신규 파라미터)",
-        example = "EXISTING")
-    private String hyperParamType;
-
-    @Schema(description = "기존 파라미터 uuid", example = "57fc9170-64c1-4128-aa7b-0657f08d6d10")
-    private String hyperUuid;
-
-    // -------------------------
-    // Important
-    // -------------------------
-    @Schema(description = "백본 네트워크", example = "large")
-    private String backbone; // backbone
-
-    @Schema(description = "입력 이미지 크기(H,W)", example = "512,512")
-    private String inputSize; // input_size
-
-    @Schema(description = "크롭 크기(H,W 또는 단일값)", example = "256,256")
-    private String cropSize; // crop_size
-
-    @Schema(description = "배치 크기(Per GPU)", example = "16")
-    private Integer batchSize; // batch_size
-
-    // -------------------------
-    // Data
-    // -------------------------
-    @Schema(description = "Train dataloader workers", example = "16")
-    private Integer trainNumWorkers; // train_num_workers
-
-    @Schema(description = "Val dataloader workers", example = "8")
-    private Integer valNumWorkers; // val_num_workers
-
-    @Schema(description = "Test dataloader workers", example = "8")
-    private Integer testNumWorkers; // test_num_workers
-
-    @Schema(description = "Train shuffle 여부", example = "true")
-    private Boolean trainShuffle; // train_shuffle
-
-    @Schema(description = "Train persistent workers 여부", example = "true")
-    private Boolean trainPersistent; // train_persistent
-
-    @Schema(description = "Val persistent workers 여부", example = "true")
-    private Boolean valPersistent; // val_persistent
-
-    // -------------------------
-    // Model Architecture
-    // -------------------------
-    @Schema(description = "Drop Path 비율", example = "0.3")
-    private Double dropPathRate; // drop_path_rate
-
-    @Schema(description = "Freeze 단계(-1:None)", example = "-1")
-    private Integer frozenStages; // frozen_stages
-
-    @Schema(description = "Neck 결합 정책", example = "abs_diff")
-    private String neckPolicy; // neck_policy
-
-    @Schema(description = "디코더 채널 구성", example = "512,256,128,64")
-    private String decoderChannels; // decoder_channels
-
-    @Schema(description = "클래스별 가중치", example = "1,10")
-    private String classWeight; // class_weight
-
-    // -------------------------
-    // Loss & Optimization
-    // -------------------------
-    @Schema(description = "학습률", example = "0.00006")
-    private Double learningRate; // learning_rate
-
-    @Schema(description = "Weight Decay", example = "0.05")
-    private Double weightDecay; // weight_decay
-
-    @Schema(description = "Layer Decay Rate", example = "0.9")
-    private Double layerDecayRate; // layer_decay_rate
-
-    @Schema(description = "DDP unused params 탐색 여부", example = "true")
-    private Boolean ddpFindUnusedParams; // ddp_find_unused_params
-
-    @Schema(description = "Loss 계산 제외 인덱스", example = "255")
-    private Integer ignoreIndex; // ignore_index
-
-    @Schema(description = "레이어 깊이", example = "24")
-    private Integer numLayers; // num_layers
-
-    // -------------------------
-    // Evaluation
-    // -------------------------
-    @Schema(description = "평가 지표 목록", example = "mFscore,mIoU")
-    private String metrics; // metrics
-
-    @Schema(description = "Best 모델 선정 기준 지표", example = "changed_fscore")
-    private String saveBest; // save_best
-
-    @Schema(description = "Best 모델 선정 규칙", example = "less")
-    private String saveBestRule; // save_best_rule
-
-    @Schema(description = "검증 수행 주기(Epoch)", example = "10")
-    private Integer valInterval; // val_interval
-
-    @Schema(description = "로그 기록 주기(Iteration)", example = "400")
-    private Integer logInterval; // log_interval
-
-    @Schema(description = "시각화 저장 주기(Epoch)", example = "1")
-    private Integer visInterval; // vis_interval
-
-    // -------------------------
-    // Augmentation
-    // -------------------------
-    @Schema(description = "회전 적용 확률", example = "0.5")
-    private Double rotProb; // rot_prob
-
-    @Schema(description = "회전 각도 범위(Min,Max)", example = "-20,20")
-    private String rotDegree; // rot_degree
-
-    @Schema(description = "반전 적용 확률", example = "0.5")
-    private Double flipProb; // flip_prob
-
-    @Schema(description = "채널 교환 확률", example = "0.5")
-    private Double exchangeProb; // exchange_prob
-
-    @Schema(description = "밝기 변화량", example = "10")
-    private Integer brightnessDelta; // brightness_delta
-
-    @Schema(description = "대비 범위(Min,Max)", example = "0.8,1.2")
-    private String contrastRange; // contrast_range
-
-    @Schema(description = "채도 범위(Min,Max)", example = "0.8,1.2")
-    private String saturationRange; // saturation_range
-
-    @Schema(description = "색조 변화량", example = "10")
-    private Integer hueDelta; // hue_delta
-
-    // -------------------------
-    // Hardware
-    // -------------------------
-    @Schema(description = "사용 GPU 개수", example = "4")
-    private Integer gpuCnt; // gpu_cnt
-
-    @Schema(description = "사용 GPU ID 목록", example = "0,1,2,3")
-    private String gpuIds; // gpu_ids
-
-    @Schema(description = "분산학습 마스터 포트", example = "1122")
-    private Integer masterPort; // master_port
-
-    // -------------------------
-    // Memo
-    // -------------------------
-    @Schema(description = "메모", example = "하이퍼파라미터 신규등록")
-    private String memo; // memo
-  }
-
-  @Getter
-  @Setter
-  public static class TrainingDataConfigDto {
-    Summary summary;
-    List<Dataset> datasetList;
-  }
-
-  @Getter
-  @Setter
-  public static class Summary {
-    @Schema(description = "건물", example = "0")
-    private Long buildingCnt;
-
-    @Schema(description = "컨테이너", example = "0")
-    private Long containerCnt;
-
-    @Schema(description = "폐기물", example = "0")
-    private Long wasteCnt;
-
-    @Schema(
-        description = "도로, 비닐하우스, 밭, 과수원, 초지, 숲, 물, 모재/자갈, 토분(무덤), 일반토지, 태양광, 기타",
-        example = "0")
-    private Long LandCoverCnt;
-  }
-
-  @Getter
-  @Setter
-  public static class Dataset {
-    @Schema(description = "데이터셋 uuid")
-    private UUID uuid;
-  }
-
-  @Getter
-  @Setter
-  public static class EtcConfig {
-    @Schema(description = "에폭 횟수", example = "0")
-    private Long epochCnt;
-
-    @Schema(description = "학습데이터셋 비율 Training", example = "0")
-    private Integer trainingCnt;
-
-    @Schema(description = "학습데이터셋 비율 Validation", example = "0")
-    private Integer validationCnt;
-
-    @Schema(description = "학습데이터셋 비율 Test", example = "0")
-    private Integer testCnt;
-
-    @Schema(description = "메모", example = "메모 입니다.")
-    private String memo;
-  }
-}

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

@@ -0,0 +1,212 @@
+package com.kamco.cd.training.model.dto;
+
+import com.kamco.cd.training.common.dto.HyperParam;
+import com.kamco.cd.training.common.enums.TrainStatusType;
+import com.kamco.cd.training.common.enums.TrainType;
+import com.kamco.cd.training.common.utils.interfaces.JsonFormatDttm;
+import io.swagger.v3.oas.annotations.media.Schema;
+import jakarta.validation.constraints.NotNull;
+import java.time.Duration;
+import java.time.ZonedDateTime;
+import java.util.List;
+import java.util.UUID;
+import lombok.AllArgsConstructor;
+import lombok.Builder;
+import lombok.Getter;
+import lombok.NoArgsConstructor;
+import lombok.Setter;
+import org.springframework.data.domain.PageRequest;
+import org.springframework.data.domain.Pageable;
+
+public class ModelTrainMngDto {
+  @Schema(name = "모델학습관리 목록", description = "모델학습관리 목록")
+  @Getter
+  @Setter
+  @NoArgsConstructor
+  @AllArgsConstructor
+  @Builder
+  public static class Basic {
+
+    private Long id;
+    private UUID uuid;
+    private String modelVer;
+    @JsonFormatDttm private ZonedDateTime startDttm;
+    @JsonFormatDttm private ZonedDateTime step1StrtDttm;
+    @JsonFormatDttm private ZonedDateTime step1EndDttm;
+    @JsonFormatDttm private ZonedDateTime step2StrtDttm;
+    @JsonFormatDttm private ZonedDateTime step2EndDttm;
+    private String step1Status;
+    private String step2Status;
+    private String statusCd;
+    private String trainType;
+    private String modelNo;
+    private Long currentAttemptId;
+
+    public String getStatusName() {
+      if (this.statusCd == null || this.statusCd.isBlank()) return null;
+      try {
+        return TrainStatusType.valueOf(this.statusCd).getText(); // 또는 getName()
+      } catch (IllegalArgumentException e) {
+        return this.statusCd; // 매핑 못하면 코드 그대로 반환(원하면 null 처리)
+      }
+    }
+
+    public String getStep1StatusName() {
+      if (this.step1Status == null || this.step1Status.isBlank()) return null;
+      try {
+        return TrainStatusType.valueOf(this.step1Status).getText(); // 또는 getName()
+      } catch (IllegalArgumentException e) {
+        return this.step1Status; // 매핑 못하면 코드 그대로 반환(원하면 null 처리)
+      }
+    }
+
+    public String getStep2StatusNAme() {
+      if (this.step2Status == null || this.step2Status.isBlank()) return null;
+      try {
+        return TrainStatusType.valueOf(this.step2Status).getText(); // 또는 getName()
+      } catch (IllegalArgumentException e) {
+        return this.step2Status; // 매핑 못하면 코드 그대로 반환(원하면 null 처리)
+      }
+    }
+
+    public String getTrainTypeName() {
+      if (this.trainType == null || this.trainType.isBlank()) return null;
+      try {
+        return TrainType.valueOf(this.trainType).getText(); // 또는 getName()
+      } catch (IllegalArgumentException e) {
+        return this.trainType; // 매핑 못하면 코드 그대로 반환(원하면 null 처리)
+      }
+    }
+
+    private String formatDuration(ZonedDateTime start, ZonedDateTime end) {
+      if (start == null || end == null) {
+        return null;
+      }
+
+      long totalSeconds = Math.abs(Duration.between(start, end).getSeconds());
+
+      long hours = totalSeconds / 3600;
+      long minutes = (totalSeconds % 3600) / 60;
+      long seconds = totalSeconds % 60;
+
+      return String.format("%d시간 %d분 %d초", hours, minutes, seconds);
+    }
+
+    public String getStep1Duration() {
+      return formatDuration(this.step1StrtDttm, this.step1EndDttm);
+    }
+
+    public String getStep2Duration() {
+      return formatDuration(this.step2StrtDttm, this.step2EndDttm);
+    }
+  }
+
+  @Schema(name = "searchReq", description = "모델학습 관리 목록조회 파라미터")
+  @Getter
+  @Setter
+  @NoArgsConstructor
+  @AllArgsConstructor
+  public static class SearchReq {
+
+    private String status;
+    private String modelNo;
+    // 페이징 파라미터
+    private int page = 0;
+    private int size = 20;
+
+    public Pageable toPageable() {
+      return PageRequest.of(page, size);
+    }
+  }
+
+  @Schema(name = "addReq", description = "모델학습 관리 등록 파라미터")
+  @Getter
+  @Setter
+  @NoArgsConstructor
+  @AllArgsConstructor
+  public static class AddReq {
+
+    @NotNull
+    @Schema(description = "모델 종류 G1, G2, G3", example = "G1")
+    private String modelNo;
+
+    @NotNull
+    @Schema(description = "모델학습 실행 여부", example = "false")
+    private Boolean isStart;
+
+    @NotNull
+    @Schema(description = "학습타입 GENERAL(일반), TRANSFER(전이)", example = "GENERAL")
+    private String trainType;
+
+    @Schema(description = "전이학습일때 선택한 모델 id")
+    private Long beforeModelId;
+
+    @NotNull
+    @Schema(
+        description = "하이퍼 파라미터 선택 타입 OPTIMIZED(최적화 파라미터),EXISTING(기존 파라미터),NEW(신규 파라미터)",
+        example = "EXISTING")
+    private String hyperParamType;
+
+    @Schema(description = "하이퍼파라미터 uuid", example = "57fc9170-64c1-4128-aa7b-0657f08d6d10")
+    private UUID hyperUuid;
+
+    HyperParam hyperParam;
+    TrainingDataset trainingDataset;
+    ModelConfig modelConfig;
+  }
+
+  @Schema(name = "addReq", description = "모델학습 관리 등록 파라미터")
+  @Getter
+  @Setter
+  @NoArgsConstructor
+  @AllArgsConstructor
+  public static class UpdateReq {
+
+    private String requestPath;
+    private String responsePath;
+  }
+
+  @Getter
+  @Setter
+  public static class TrainingDataset {
+    Summary summary;
+    List<Long> datasetList;
+  }
+
+  @Getter
+  @Setter
+  public static class Summary {
+    @Schema(description = "건물", example = "0")
+    private Long buildingCnt;
+
+    @Schema(description = "컨테이너", example = "0")
+    private Long containerCnt;
+
+    @Schema(description = "폐기물", example = "0")
+    private Long wasteCnt;
+
+    @Schema(
+        description = "도로, 비닐하우스, 밭, 과수원, 초지, 숲, 물, 모재/자갈, 토분(무덤), 일반토지, 태양광, 기타",
+        example = "0")
+    private Long LandCoverCnt;
+  }
+
+  @Getter
+  @Setter
+  public static class ModelConfig {
+    @Schema(description = "에폭 횟수", example = "0")
+    private Integer epochCnt;
+
+    @Schema(description = "학습데이터셋 비율 Training", example = "0")
+    private Float trainingCnt;
+
+    @Schema(description = "학습데이터셋 비율 Validation", example = "0")
+    private Float validationCnt;
+
+    @Schema(description = "학습데이터셋 비율 Test", example = "0")
+    private Float testCnt;
+
+    @Schema(description = "메모", example = "메모 입니다.")
+    private String memo;
+  }
+}

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

@@ -1,61 +0,0 @@
-package com.kamco.cd.training.model.dto;
-
-import com.kamco.cd.training.common.utils.interfaces.JsonFormatDttm;
-import io.swagger.v3.oas.annotations.media.Schema;
-import java.time.ZonedDateTime;
-import lombok.Getter;
-
-public class ModelVerDto {
-
-  @Schema(name = "modelVer Basic", description = "모델버전 엔티티 기본 정보")
-  @Getter
-  public static class Basic {
-
-    private final Long id;
-    private final Long modelUid;
-
-    private final String modelCate;
-    private final String modelVer;
-
-    private final String usedState;
-    private final String modelState;
-    private final Double qualityProb;
-    private final String deployState;
-    private final String modelPath;
-
-    @JsonFormatDttm private final ZonedDateTime createdDttm;
-    private final Long createdUid;
-
-    @JsonFormatDttm private final ZonedDateTime updatedDttm;
-    private final Long updatedUid;
-
-    public Basic(
-        Long id,
-        Long modelUid,
-        String modelCate,
-        String modelVer,
-        String usedState,
-        String modelState,
-        Double qualityProb,
-        String deployState,
-        String modelPath,
-        ZonedDateTime createdDttm,
-        Long createdUid,
-        ZonedDateTime updatedDttm,
-        Long updatedUid) {
-      this.id = id;
-      this.modelUid = modelUid;
-      this.modelCate = modelCate;
-      this.modelVer = modelVer;
-      this.usedState = usedState;
-      this.modelState = modelState;
-      this.qualityProb = qualityProb;
-      this.deployState = deployState;
-      this.modelPath = modelPath;
-      this.createdDttm = createdDttm;
-      this.createdUid = createdUid;
-      this.updatedDttm = updatedDttm;
-      this.updatedUid = updatedUid;
-    }
-  }
-}

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

@@ -1,54 +0,0 @@
-package com.kamco.cd.training.model.service;
-
-import com.kamco.cd.training.model.dto.ModelMngDto;
-import com.kamco.cd.training.model.dto.ModelTrainDto;
-import com.kamco.cd.training.model.dto.ModelTrainDto.SearchReq;
-import com.kamco.cd.training.postgres.core.ModelMngCoreService;
-import java.util.UUID;
-import lombok.RequiredArgsConstructor;
-import lombok.extern.slf4j.Slf4j;
-import org.springframework.data.domain.Page;
-import org.springframework.stereotype.Service;
-import org.springframework.transaction.annotation.Transactional;
-
-@Service
-@RequiredArgsConstructor
-@Transactional(readOnly = true)
-@Slf4j
-public class ModelMngService {
-
-  private final ModelMngCoreService modelMngCoreService;
-
-  /**
-   * 모델 목록 조회
-   *
-   * @param searchReq 검색 조건
-   * @return 페이징 처리된 모델 목록
-   */
-  public Page<ModelTrainDto.Basic> getModelList(SearchReq searchReq) {
-    return modelMngCoreService.findByModelList(searchReq);
-  }
-
-  /**
-   * 학습모델 삭제
-   *
-   * @param uuid
-   */
-  public void deleteModelTrain(UUID uuid) {
-    modelMngCoreService.deleteModel(uuid);
-  }
-
-  public String createModelTrain(ModelMngDto modelMngDto) {
-    return null;
-  }
-
-  /**
-   * 모델 상세 조회
-   *
-   * @param modelUid 모델 UID
-   * @return 모델 상세 정보
-   */
-  public ModelMngDto.Detail getModelDetail(Long modelUid) {
-    return modelMngCoreService.getModelDetail(modelUid);
-  }
-}

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

@@ -0,0 +1,119 @@
+package com.kamco.cd.training.model.service;
+
+import com.kamco.cd.training.dataset.dto.DatasetDto.DatasetReq;
+import com.kamco.cd.training.dataset.dto.DatasetDto.SelectDataSet;
+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;
+import com.kamco.cd.training.model.dto.ModelTrainDetailDto.MappingDataset;
+import com.kamco.cd.training.model.dto.ModelTrainDetailDto.ModelBestEpoch;
+import com.kamco.cd.training.model.dto.ModelTrainDetailDto.ModelTestMetrics;
+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.Basic;
+import com.kamco.cd.training.postgres.core.ModelTrainDetailCoreService;
+import com.kamco.cd.training.postgres.core.ModelTrainMngCoreService;
+import java.util.ArrayList;
+import java.util.List;
+import java.util.UUID;
+import lombok.RequiredArgsConstructor;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.stereotype.Service;
+import org.springframework.transaction.annotation.Transactional;
+
+@Service
+@RequiredArgsConstructor
+@Transactional(readOnly = true)
+@Slf4j
+public class ModelTrainDetailService {
+
+  private final ModelTrainDetailCoreService modelTrainDetailCoreService;
+  private final ModelTrainMngCoreService mngCoreService;
+
+  /**
+   * 모델 상세정보 요약
+   *
+   * @param uuid
+   * @return
+   */
+  public DetailSummary getModelDetailSummary(UUID uuid) {
+    return modelTrainDetailCoreService.getModelDetailSummary(uuid);
+  }
+
+  /**
+   * 모델 하이퍼파라미터 요약
+   *
+   * @param uuid
+   * @return
+   */
+  public HyperSummary getByModelHyperParamSummary(UUID uuid) {
+    return modelTrainDetailCoreService.getByModelHyperParamSummary(uuid);
+  }
+
+  public List<MappingDataset> getByModelMappingDataset(UUID uuid) {
+    return modelTrainDetailCoreService.getByModelMappingDataset(uuid);
+  }
+
+  public Basic findByModelByUUID(UUID uuid) {
+    return modelTrainDetailCoreService.findByModelByUUID(uuid);
+  }
+
+  /**
+   * 전이학습 모델선택 정보
+   *
+   * @param uuid
+   * @return
+   */
+  public TransferDetailDto getTransferDetail(UUID uuid) {
+    Basic modelInfo = modelTrainDetailCoreService.findByModelByUUID(uuid);
+
+    // config 정보 조회
+    ModelConfigDto.Basic configInfo = mngCoreService.findModelConfigByModelId(uuid);
+
+    // 하이파라미터 정보 조회
+    TransferHyperSummary hyperSummary = modelTrainDetailCoreService.getTransferHyperSummary(uuid);
+    List<SelectDataSet> dataSets = new ArrayList<>();
+
+    DatasetReq datasetReq = new DatasetReq();
+    List<Long> datasetIds = new ArrayList<>();
+
+    List<MappingDataset> mappingDatasets =
+        modelTrainDetailCoreService.getByModelMappingDataset(uuid);
+    for (MappingDataset mappingDataset : mappingDatasets) {
+      datasetIds.add(mappingDataset.getDatasetId());
+    }
+    datasetReq.setIds(datasetIds);
+    datasetReq.setModelNo(modelInfo.getModelNo());
+
+    if (modelInfo.getModelNo().equals("G1")) {
+      dataSets = mngCoreService.getDatasetSelectG1List(datasetReq);
+    } else {
+      dataSets = mngCoreService.getDatasetSelectG2G3List(datasetReq);
+    }
+
+    TransferDetailDto transferDetailDto = new TransferDetailDto();
+    transferDetailDto.setEtcConfig(configInfo);
+    transferDetailDto.setModelTrainHyper(hyperSummary);
+    transferDetailDto.setModelTrainDataset(dataSets);
+
+    return transferDetailDto;
+  }
+
+  public List<ModelTrainMetrics> getModelTrainMetricResult(UUID uuid) {
+    return modelTrainDetailCoreService.getModelTrainMetricResult(uuid);
+  }
+
+  public List<ModelValidationMetrics> getModelValidationMetricResult(UUID uuid) {
+    return modelTrainDetailCoreService.getModelValidationMetricResult(uuid);
+  }
+
+  public List<ModelTestMetrics> getModelTestMetricResult(UUID uuid) {
+    return modelTrainDetailCoreService.getModelTestMetricResult(uuid);
+  }
+
+  public ModelBestEpoch getModelTrainBestEpoch(UUID uuid) {
+    return modelTrainDetailCoreService.getModelTrainBestEpoch(uuid);
+  }
+}

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

@@ -0,0 +1,143 @@
+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.TrainType;
+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.hyperparam.dto.HyperParamDto;
+import com.kamco.cd.training.model.dto.ModelConfigDto;
+import com.kamco.cd.training.model.dto.ModelTrainMngDto;
+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 java.io.IOException;
+import java.nio.file.Path;
+import java.util.List;
+import java.util.UUID;
+import lombok.RequiredArgsConstructor;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.data.domain.Page;
+import org.springframework.http.HttpStatus;
+import org.springframework.stereotype.Service;
+import org.springframework.transaction.annotation.Transactional;
+
+@Service
+@RequiredArgsConstructor
+@Transactional(readOnly = true)
+@Slf4j
+public class ModelTrainMngService {
+
+  private final ModelTrainMngCoreService modelTrainMngCoreService;
+  private final HyperParamCoreService hyperParamCoreService;
+  private final TmpDatasetService tmpDatasetService;
+
+  /**
+   * 모델학습 조회
+   *
+   * @param searchReq 검색 조건
+   * @return 페이징 처리된 모델 목록
+   */
+  public Page<ModelTrainMngDto.Basic> getModelList(SearchReq searchReq) {
+    return modelTrainMngCoreService.findByModelList(searchReq);
+  }
+
+  /**
+   * 모델학습 삭제
+   *
+   * @param uuid
+   */
+  @Transactional
+  public void deleteModelTrain(UUID uuid) {
+    modelTrainMngCoreService.deleteModel(uuid);
+  }
+
+  /**
+   * 모델학습 등록
+   *
+   * @param req
+   * @return
+   */
+  @Transactional
+  public UUID createModelTrain(ModelTrainMngDto.AddReq req) {
+    HyperParam hyperParam = req.getHyperParam();
+    HyperParamDto.Basic hyper = new HyperParamDto.Basic();
+
+    // 전이 학습은 모델 선택 필수
+    if (TrainType.TRANSFER.getId().equals(req.getTrainType())) {
+      if (req.getBeforeModelId() == null) {
+        throw new CustomApiException("BAD_REQUEST", HttpStatus.BAD_REQUEST, "모델을 선택해 주세요.");
+      }
+    }
+
+    // 하이파라미터 신규저장
+    if (HyperParamSelectType.NEW.getId().equals(req.getHyperParamType())) {
+      // 하이퍼파라미터 등록
+      hyper = hyperParamCoreService.createHyperParam(hyperParam);
+      req.setHyperUuid(hyper.getUuid());
+    }
+
+    // 모델학습 테이블 저장
+    ModelTrainMngDto.Basic modelDto = modelTrainMngCoreService.saveModel(req);
+
+    Long modelId = modelDto.getId();
+    UUID modelUuid = modelDto.getUuid();
+
+    // 모델학습 데이터셋 저장
+    modelTrainMngCoreService.saveModelDataset(modelId, req);
+
+    // 모델 데이터셋 mapping 저장
+    modelTrainMngCoreService.saveModelDatasetMap(
+        modelId, req.getTrainingDataset().getDatasetList());
+
+    // 모델 config 저장
+    modelTrainMngCoreService.saveModelConfig(modelId, req.getModelConfig());
+
+    UUID tmpUuid = UUID.randomUUID();
+    String raw = tmpUuid.toString().toUpperCase().replace("-", "");
+
+    List<String> uids =
+        modelTrainMngCoreService.findDatasetUid(req.getTrainingDataset().getDatasetList());
+
+    try {
+      // 데이터셋 심볼링크 생성
+      Path path = tmpDatasetService.buildTmpDatasetSymlink(raw, uids);
+      ModelTrainMngDto.UpdateReq updateReq = new ModelTrainMngDto.UpdateReq();
+      updateReq.setRequestPath(path.toString());
+      modelTrainMngCoreService.updateModelMaster(modelId, updateReq);
+    } catch (IOException e) {
+      throw new RuntimeException(e);
+    }
+
+    return modelUuid;
+  }
+
+  /**
+   * 모델학습 모델학습 uuid config정보 조회
+   *
+   * @param uuid 모델학습 uuid
+   * @return
+   */
+  public ModelConfigDto.Basic getModelConfigByModelId(UUID uuid) {
+    return modelTrainMngCoreService.findModelConfigByModelId(uuid);
+  }
+
+  /**
+   * 모델별 데이터셋 목록 조회
+   *
+   * @param req
+   * @return
+   */
+  public List<SelectDataSet> getDatasetSelectList(DatasetReq req) {
+    if (req.getModelNo().equals("G1")) {
+      return modelTrainMngCoreService.getDatasetSelectG1List(req);
+    } else {
+      return modelTrainMngCoreService.getDatasetSelectG2G3List(req);
+    }
+  }
+
+  public Long findModelStep1InProgressCnt() {
+    return modelTrainMngCoreService.findModelStep1InProgressCnt();
+  }
+}

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

@@ -1,334 +0,0 @@
-package com.kamco.cd.training.model.service;
-
-import com.kamco.cd.training.common.exception.BadRequestException;
-import com.kamco.cd.training.common.exception.NotFoundException;
-import com.kamco.cd.training.model.dto.ModelMngDto;
-import com.kamco.cd.training.postgres.core.DatasetCoreService;
-import com.kamco.cd.training.postgres.core.ModelMngCoreService;
-import com.kamco.cd.training.postgres.core.SystemMetricsCoreService;
-import com.kamco.cd.training.postgres.entity.ModelMasterEntity;
-import java.util.List;
-import lombok.RequiredArgsConstructor;
-import lombok.extern.slf4j.Slf4j;
-import org.springframework.stereotype.Service;
-import org.springframework.transaction.annotation.Transactional;
-
-@Service
-@RequiredArgsConstructor
-@Transactional(readOnly = true)
-@Slf4j
-public class ModelTrainService {
-
-  private final ModelMngCoreService modelMngCoreService;
-  private final DatasetCoreService datasetCoreService;
-  private final SystemMetricsCoreService systemMetricsCoreService;
-
-  /**
-   * 학습 설정 통합 조회
-   *
-   * @return 학습 설정 폼 데이터
-   */
-  public ModelMngDto.FormConfigRes getFormConfig() {
-    // 1. 현재 실행 중인 모델 확인
-    String runningModelUuid = modelMngCoreService.findRunningModelUuid();
-    boolean isTrainAvailable = (runningModelUuid == null);
-
-    // 2. 저장공간 체크 (10GB 미만 시 학습 불가)
-    if (isTrainAvailable) {
-      isTrainAvailable = systemMetricsCoreService.isStorageAvailableForTraining();
-      long availableMB = systemMetricsCoreService.getAvailableStorageMB();
-      log.info("저장공간 체크 완료: {}MB 사용 가능, 학습 가능 여부: {}", availableMB, isTrainAvailable);
-    }
-
-    // 3. 하이퍼파라미터 목록
-    List<ModelMngDto.HyperParamInfo> hyperParams =
-        null; // hyperParamCoreService.findAllActiveHyperParams();
-
-    // 4. 데이터셋 목록
-    List<ModelMngDto.DatasetInfo> datasets = datasetCoreService.findAllActiveDatasetsForTraining();
-
-    return ModelMngDto.FormConfigRes.builder()
-        .isTrainAvailable(isTrainAvailable)
-        .hyperParams(hyperParams)
-        .datasets(datasets)
-        .runningModelUuid(runningModelUuid)
-        .build();
-  }
-
-  /**
-   * 학습 시작
-   *
-   * @param trainReq 학습 시작 요청
-   * @return 학습 시작 응답
-   */
-  @Transactional
-  public ModelMngDto.TrainStartRes startTraining(ModelMngDto.TrainStartReq trainReq) {
-    // 1. 동시 실행 방지 검증
-    String runningModelUuid = modelMngCoreService.findRunningModelUuid();
-    if (runningModelUuid != null) {
-      throw new BadRequestException(
-          "이미 실행 중인 학습이 있습니다. 학습은 한 번에 한 개만 실행할 수 있습니다. (실행 중인 모델: " + runningModelUuid + ")");
-    }
-
-    // 2. 저장공간 체크 (10GB 미만 시 학습 불가)
-    if (!systemMetricsCoreService.isStorageAvailableForTraining()) {
-      long availableMB = systemMetricsCoreService.getAvailableStorageMB();
-      long requiredMB = 10 * 1024; // 10GB
-      throw new BadRequestException(
-          String.format(
-              "저장공간이 부족하여 학습을 시작할 수 없습니다. (필요: %dMB, 사용 가능: %dMB)", requiredMB, availableMB));
-    }
-
-    // 3. 데이터셋 상태 검증 (COMPLETED 상태만 학습 가능)
-    validateDatasetStatus(trainReq.getDatasetIds());
-
-    // 4. 데이터 분할 비율 검증 (예: "7:2:1" 형식)
-    if (trainReq.getDatasetRatio() != null && !trainReq.getDatasetRatio().isEmpty()) {
-      validateDatasetRatio(trainReq.getDatasetRatio());
-    }
-
-    // 5. 학습 마스터 생성
-    ModelMasterEntity entity = modelMngCoreService.createTrainMaster(trainReq);
-
-    // 5. 데이터셋 매핑 생성
-    modelMngCoreService.createDatasetMappings(entity.getId(), trainReq.getDatasetIds());
-
-    // 6. 실제 UUID 사용
-    String uuid = entity.getUuid().toString();
-
-    log.info(
-        "학습 시작: uuid={}, hyperVer={}, epoch={}, datasets={}",
-        uuid,
-        trainReq.getHyperVer(),
-        trainReq.getEpoch(),
-        trainReq.getDatasetIds());
-
-    // TODO: 비동기 GPU 학습 프로세스 트리거 로직 추가
-
-    return ModelMngDto.TrainStartRes.builder().uuid(uuid).status(entity.getStatusCd()).build();
-  }
-
-  /**
-   * 데이터셋 상태 검증
-   *
-   * @param datasetIds 데이터셋 ID 목록
-   */
-  private void validateDatasetStatus(List<Long> datasetIds) {
-    for (Long datasetId : datasetIds) {
-      try {
-        var dataset = datasetCoreService.getOneById(datasetId);
-
-        // COMPLETED 상태가 아닌 데이터셋이 포함되어 있으면 예외 발생
-        if (dataset.getStatus() == null || !"COMPLETED".equals(dataset.getStatus())) {
-          throw new BadRequestException(
-              String.format(
-                  "학습에 사용할 수 없는 데이터셋입니다. (ID: %d, 상태: %s). COMPLETED 상태의 데이터셋만 선택 가능합니다.",
-                  datasetId, dataset.getStatus() != null ? dataset.getStatus() : "NULL"));
-        }
-
-        log.debug("데이터셋 상태 검증 통과: ID={}, Status={}", datasetId, dataset.getStatus());
-      } catch (NotFoundException e) {
-        throw new BadRequestException("존재하지 않는 데이터셋입니다. ID: " + datasetId);
-      }
-    }
-    log.info("모든 데이터셋 상태 검증 완료: {} 개", datasetIds.size());
-  }
-
-  /**
-   * 데이터 분할 비율 검증
-   *
-   * @param datasetRatio 데이터셋 비율 (예: "7:2:1")
-   */
-  private void validateDatasetRatio(String datasetRatio) {
-    try {
-      String[] parts = datasetRatio.split(":");
-      if (parts.length != 3) {
-        throw new BadRequestException("데이터 분할 비율은 'Training:Validation:Test' 형식이어야 합니다 (예: 7:2:1)");
-      }
-
-      int train = Integer.parseInt(parts[0].trim());
-      int validation = Integer.parseInt(parts[1].trim());
-      int test = Integer.parseInt(parts[2].trim());
-
-      int sum = train + validation + test;
-      if (sum != 10) {
-        throw new BadRequestException(
-            String.format("데이터 분할 비율의 합계는 10이어야 합니다. (현재 합계: %d, 입력값: %s)", sum, datasetRatio));
-      }
-
-      if (train <= 0 || validation < 0 || test < 0) {
-        throw new BadRequestException("데이터 분할 비율은 모두 0 이상이어야 합니다 (Training은 1 이상)");
-      }
-
-      log.info(
-          "데이터 분할 비율 검증 완료: Training={}0%, Validation={}0%, Test={}0%", train, validation, test);
-    } catch (NumberFormatException e) {
-      throw new BadRequestException("데이터 분할 비율은 숫자로만 구성되어야 합니다: " + datasetRatio);
-    }
-  }
-
-  // ==================== Resume Training (학습 재시작) ====================
-  //
-  //  /**
-  //   * 학습 재시작 정보 조회
-  //   *
-  //   * @param uuid 모델 UUID
-  //   * @return 재시작 정보
-  //   */
-  //  public ModelMngDto.ResumeInfo getResumeInfo(String uuid) {
-  //    ModelTrainMasterEntity entity = modelMngCoreService.findByUuid(uuid);
-  //
-  //    return ModelMngDto.ResumeInfo.builder()
-  //        .canResume(entity.getCanResume() != null && entity.getCanResume())
-  //        .lastEpoch(entity.getLastCheckpointEpoch())
-  //        .totalEpoch(entity.getEpochCnt())
-  //        .checkpointPath(entity.getCheckpointPath())
-  //        //        .failedAt(
-  //        //            entity.getStopDttm() != null
-  //        //                ? entity.getStopDttm().atZone(java.time.ZoneId.systemDefault())
-  //        //                : null)
-  //        .build();
-  //  }
-
-  /**
-   * 학습 재시작
-   *
-   * @param uuid 모델 UUID
-   * @param resumeReq 재시작 요청
-   * @return 재시작 응답
-   */
-  @Transactional
-  public ModelMngDto.ResumeResponse resumeTraining(
-      String uuid, ModelMngDto.ResumeRequest resumeReq) {
-    //    ModelTrainMasterEntity entity = modelMngCoreService.findByUuid(uuid);
-    //
-    //    // 재시작 가능 여부 검증
-    //    if (entity.getCanResume() == null || !entity.getCanResume()) {
-    //      throw new IllegalStateException("학습 재시작이 불가능한 모델입니다: " + uuid);
-    //    }
-    //
-    //    if (entity.getLastCheckpointEpoch() == null) {
-    //      throw new IllegalStateException("Checkpoint가 존재하지 않습니다: " + uuid);
-    //    }
-    //
-    //    // 상태 업데이트
-    //    entity.setStatusCd("RUNNING");
-    //    entity.setProgressRate(0);
-    //
-    //    // 총 Epoch 수 변경 (선택사항)
-    //    if (resumeReq.getNewTotalEpoch() != null) {
-    //      entity.setEpochCnt(resumeReq.getNewTotalEpoch());
-    //    }
-    //
-    //    log.info(
-    //        "학습 재시작: uuid={}, resumeFromEpoch={}, totalEpoch={}",
-    //        uuid,
-    //        resumeReq.getResumeFromEpoch(),
-    //        entity.getEpochCnt());
-    //
-    //    // TODO: 비동기 GPU 학습 재시작 프로세스 트리거 로직 추가
-    //    // - Checkpoint 파일 로드
-    //    // - 지정된 Epoch부터 학습 재개
-
-    return null;
-    //    ModelMngDto.ResumeResponse.builder()
-    //        .uuid(uuid)
-    //        .status(entity.getStatusCd())
-    //        .resumedFromEpoch(resumeReq.getResumeFromEpoch())
-    //        .build();
-  }
-
-  // ==================== Best Epoch Setting (Best Epoch 설정) ====================
-
-  /**
-   * Best Epoch 설정
-   *
-   * @param uuid 모델 UUID
-   * @param bestEpochReq Best Epoch 요청
-   * @return Best Epoch 응답
-   */
-  @Transactional
-  public ModelMngDto.BestEpochResponse setBestEpoch(
-      String uuid, ModelMngDto.BestEpochRequest bestEpochReq) {
-    //    ModelTrainMasterEntity entity = modelMngCoreService.findByUuid(uuid);
-    //
-    //    // 1차 학습 완료 상태 검증
-    //    if (!"STEP1_COMPLETED".equals(entity.getStatusCd())
-    //        && !"STEP1".equals(entity.getProcessStep())) {
-    //      log.warn(
-    //          "Best Epoch 설정 시도: 현재 상태={}, processStep={}",
-    //          entity.getStatusCd(),
-    //          entity.getProcessStep());
-    //    }
-    //
-    //    Integer previousBestEpoch = entity.getConfirmedBestEpoch();
-    //
-    //    // 사용자가 확정한 Best Epoch 설정
-    //    entity.setConfirmedBestEpoch(bestEpochReq.getBestEpoch());
-    //
-    //    // 2차 학습(Test) 단계로 상태 전이
-    //    entity.setProcessStep("STEP2");
-    //    entity.setStatusCd("STEP2_RUNNING");
-    //    entity.setProgressRate(0);
-    //    entity.setUpdatedDttm(java.time.ZonedDateTime.now());
-    //
-    //    log.info(
-    //        "Best Epoch 설정 및 2차 학습 시작: uuid={}, newBestEpoch={}, previousBestEpoch={}, reason={},
-    // newStatus={}",
-    //        uuid,
-    //        bestEpochReq.getBestEpoch(),
-    //        previousBestEpoch,
-    //        bestEpochReq.getReason(),
-    //        entity.getStatusCd());
-
-    // TODO: 비동기 GPU 2차 학습(Test) 프로세스 트리거 로직 추가
-    // - Best Epoch 모델 로드
-    // - Test 데이터셋으로 성능 평가 실행
-    // - 완료 시 STEP2_COMPLETED 상태로 전환
-
-    return null;
-    //      ModelMngDto.BestEpochResponse.builder()
-    //        .uuid(uuid)
-    //        .bestEpoch(entity.getBestEpoch()) // 자동 선택된 값
-    //        .confirmedBestEpoch(entity.getConfirmedBestEpoch()) // 사용자 확정 값
-    //        .previousBestEpoch(previousBestEpoch)
-    //        .build();
-  }
-
-  /**
-   * Epoch별 성능 지표 조회
-   *
-   * @param uuid 모델 UUID
-   * @return Epoch별 성능 지표 목록
-   */
-  public List<ModelMngDto.EpochMetric> getEpochMetrics(String uuid) {
-    //    ModelTrainMasterEntity entity = modelMngCoreService.findByUuid(uuid);
-    //
-    //    // TODO: 실제 학습 로그 파일이나 DB에서 Epoch별 성능 지표 조회
-    //    // 현재는 샘플 데이터 반환
-    //    List<ModelMngDto.EpochMetric> metrics = new java.util.ArrayList<>();
-    //
-    //    if (entity.getEpochCnt() != null && entity.getBestEpoch() != null) {
-    //      // 샘플 데이터 생성 (실제로는 학습 로그 파일 파싱 또는 별도 테이블 조회)
-    //      for (int i = 1; i <= Math.min(entity.getEpochCnt(), 10); i++) {
-    //        int epoch = entity.getBestEpoch() - 5 + i;
-    //        if (epoch <= 0 || epoch > entity.getEpochCnt()) {
-    //          continue;
-    //        }
-    //
-    //        metrics.add(
-    //            ModelMngDto.EpochMetric.builder()
-    //                .epoch(epoch)
-    //                .mIoU(0.80 + (Math.random() * 0.15)) // 샘플 데이터
-    //                .mFscore(0.85 + (Math.random() * 0.10)) // 샘플 데이터
-    //                .loss(0.3 - (Math.random() * 0.15)) // 샘플 데이터
-    //                .isBest(entity.getBestEpoch() != null && epoch == entity.getBestEpoch())
-    //                .build());
-    //      }
-    //    }
-    //
-    //    log.info("Epoch별 성능 지표 조회: uuid={}, metricsCount={}", uuid, metrics.size());
-
-    return null; // metrics;
-  }
-}

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

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

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

@@ -1,24 +1,23 @@
 package com.kamco.cd.training.postgres.core;
 
-import com.fasterxml.jackson.core.type.TypeReference;
 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;
 import com.kamco.cd.training.common.service.BaseCoreService;
 import com.kamco.cd.training.dataset.dto.DatasetDto;
-import com.kamco.cd.training.dataset.dto.DatasetDto.SelectDataSet;
+import com.kamco.cd.training.dataset.dto.DatasetDto.DatasetMngRegDto;
 import com.kamco.cd.training.dataset.dto.DatasetObjDto.Basic;
+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.SearchReq;
-import com.kamco.cd.training.model.dto.ModelMngDto;
 import com.kamco.cd.training.postgres.entity.DatasetEntity;
 import com.kamco.cd.training.postgres.entity.DatasetObjEntity;
 import com.kamco.cd.training.postgres.repository.dataset.DatasetObjRepository;
 import com.kamco.cd.training.postgres.repository.dataset.DatasetRepository;
+import jakarta.transaction.Transactional;
 import java.time.ZonedDateTime;
-import java.util.HashMap;
 import java.util.List;
-import java.util.Map;
 import java.util.UUID;
 import lombok.RequiredArgsConstructor;
 import lombok.extern.slf4j.Slf4j;
@@ -187,101 +186,6 @@ public class DatasetCoreService
         summaryReq.getDatasetIds().size(), totalMapSheets, totalFileSize, averageMapSheets);
   }
 
-  /**
-   * 활성 데이터셋 전체 조회 (학습 관리용)
-   *
-   * @return 데이터셋 정보 목록
-   */
-  public List<ModelMngDto.DatasetInfo> findAllActiveDatasetsForTraining() {
-    List<DatasetEntity> entities = datasetRepository.findByDeletedOrderByCreatedDttmDesc(false);
-
-    return entities.stream()
-        .map(
-            entity -> {
-              // totalSize를 읽기 쉬운 형식으로 변환
-              String totalSizeStr = formatFileSize(entity.getTotalSize());
-
-              // classCounts JSON 파싱
-              Map<String, Integer> classCounts = entity.getClassCounts();
-
-              return ModelMngDto.DatasetInfo.builder()
-                  .id(entity.getId())
-                  .title(entity.getTitle())
-                  .totalItems(entity.getTotalItems())
-                  .totalSize(totalSizeStr)
-                  .classCounts(classCounts)
-                  .memo(entity.getMemo())
-                  .createdDttm(entity.getCreatedDttm())
-                  .build();
-            })
-        .toList();
-  }
-
-  /**
-   * JSON 문자열을 Map으로 파싱
-   *
-   * @param jsonStr JSON 문자열
-   * @return 클래스별 카운트 맵
-   */
-  private Map<String, Integer> parseClassCounts(String jsonStr) {
-    if (jsonStr == null || jsonStr.trim().isEmpty()) {
-      return new HashMap<>();
-    }
-
-    try {
-      return objectMapper.readValue(jsonStr, new TypeReference<Map<String, Integer>>() {});
-    } catch (Exception e) {
-      log.warn("클래스 통계 JSON 파싱 실패: {}", jsonStr, e);
-      return new HashMap<>();
-    }
-  }
-
-  /**
-   * 데이터셋의 클래스 통계 계산 및 저장
-   *
-   * @param datasetId 데이터셋 ID
-   * @param classCounts 클래스별 카운트
-   */
-  public void updateClassCounts(Long datasetId, Map<String, Integer> classCounts) {
-    DatasetEntity entity =
-        datasetRepository
-            .findById(datasetId)
-            .orElseThrow(() -> new NotFoundException("데이터셋을 찾을 수 없습니다. ID: " + datasetId));
-
-    try {
-      entity.setClassCounts(classCounts);
-      datasetRepository.save(entity);
-      log.info("데이터셋 클래스 통계 업데이트 완료: datasetId={}, classes={}", datasetId, classCounts.keySet());
-    } catch (Exception e) {
-      log.error("클래스 통계 JSON 변환 실패: datasetId={}", datasetId, e);
-    }
-  }
-
-  /**
-   * 파일 크기를 읽기 쉬운 형식으로 변환
-   *
-   * @param size 바이트 단위 크기
-   * @return 형식화된 문자열 (예: "1.5GB")
-   */
-  private String formatFileSize(Long size) {
-    if (size == null || size == 0) {
-      return "0 GB";
-    }
-
-    double gb = size / (1024.0 * 1024.0 * 1024.0);
-    if (gb >= 1.0) {
-      return String.format("%.2f GB", gb);
-    }
-
-    double mb = size / (1024.0 * 1024.0);
-    if (mb >= 1.0) {
-      return String.format("%.2f MB", mb);
-    }
-
-    double kb = size / 1024.0;
-    return String.format("%.2f KB", kb);
-  }
-
   public Page<Basic> searchDatasetObjectList(SearchReq searchReq) {
     Page<DatasetObjEntity> entityPage = datasetObjRepository.searchDatasetObjectList(searchReq);
     return entityPage.map(DatasetObjEntity::toDto);
@@ -297,11 +201,49 @@ public class DatasetCoreService
     return entity.getUuid();
   }
 
-  public List<SelectDataSet> getDatasetSelectM1List(String modelType, String selectType) {
-    return datasetRepository.getDatasetSelectM1List(modelType, selectType);
+  /**
+   * 데이터셋 object class 조회
+   *
+   * @param uuid dataset uuid
+   * @param type compare, target
+   * @return
+   */
+  public List<DatasetClass> findDatasetObjClassByUuid(UUID uuid, String type) {
+    return datasetObjRepository.findDatasetObjClassByUuid(uuid, type);
   }
 
-  public List<SelectDataSet> getDatasetSelectM2M3List(String modelType, String selectType) {
-    return datasetRepository.getDatasetSelectM2M3List(modelType, selectType);
+  public Long getDatasetMaxStage(int compareYyyy, int targetYyyy) {
+    return datasetRepository.getDatasetMaxStage(compareYyyy, targetYyyy);
+  }
+
+  @Transactional
+  public Long insertDatasetMngData(DatasetMngRegDto mngRegDto) {
+    return datasetRepository.insertDatasetMngData(mngRegDto);
+  }
+
+  @Transactional
+  public void insertDatasetObj(DatasetObjRegDto objRegDto) {
+    datasetObjRepository.insertDatasetObj(objRegDto);
+  }
+
+  public String getFilePathByUUIDPathType(UUID uuid, String pathType) {
+    return datasetObjRepository.getFilePathByUUIDPathType(uuid, pathType);
+  }
+
+  public void insertDatasetTestObj(DatasetObjRegDto objRegDto) {
+    datasetObjRepository.insertDatasetTestObj(objRegDto);
+  }
+
+  public void updateDatasetUploadStatus(Long datasetUid) {
+    DatasetEntity entity =
+        datasetRepository
+            .findById(datasetUid)
+            .orElseThrow(() -> new NotFoundException("데이터셋을 찾을 수 없습니다. ID: " + datasetUid));
+
+    entity.setStatus(LearnDataRegister.COMPLETED.getId());
+  }
+
+  public void insertDatasetValObj(DatasetObjRegDto objRegDto) {
+    datasetObjRepository.insertDatasetValObj(objRegDto);
   }
 }

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

@@ -1,8 +1,12 @@
 package com.kamco.cd.training.postgres.core;
 
+import com.kamco.cd.training.common.dto.HyperParam;
+import com.kamco.cd.training.common.enums.ModelType;
 import com.kamco.cd.training.common.exception.CustomApiException;
 import com.kamco.cd.training.common.utils.UserUtil;
 import com.kamco.cd.training.hyperparam.dto.HyperParamDto;
+import com.kamco.cd.training.hyperparam.dto.HyperParamDto.Basic;
+import com.kamco.cd.training.hyperparam.dto.HyperParamDto.SearchReq;
 import com.kamco.cd.training.postgres.entity.ModelHyperParamEntity;
 import com.kamco.cd.training.postgres.repository.hyperparam.HyperParamRepository;
 import java.time.ZonedDateTime;
@@ -15,17 +19,18 @@ import org.springframework.stereotype.Service;
 @Service
 @RequiredArgsConstructor
 public class HyperParamCoreService {
+
   private final HyperParamRepository hyperParamRepository;
   private final UserUtil userUtil;
 
   /**
    * 하이퍼파라미터 등록
    *
-   * @param createReq 등록 요청
+   * @param createReq ModelTrainMngDto.HyperParamDto
    * @return 등록된 버전명
    */
-  public String createHyperParam(HyperParamDto.HyperParamCreateReq createReq) {
-    String firstVersion = getFirstHyperParamVersion();
+  public Basic createHyperParam(HyperParam createReq) {
+    String firstVersion = getFirstHyperParamVersion(createReq.getModel());
 
     ModelHyperParamEntity entity = new ModelHyperParamEntity();
     entity.setHyperVer(firstVersion);
@@ -36,22 +41,28 @@ public class HyperParamCoreService {
     entity.setCreatedUid(userUtil.getId());
 
     ModelHyperParamEntity resultEntity = hyperParamRepository.save(entity);
-    return resultEntity.getHyperVer();
+    Basic basic = new Basic();
+    basic.setUuid(resultEntity.getUuid());
+    basic.setHyperVer(resultEntity.getHyperVer());
+    return basic;
   }
 
   /**
    * 하이퍼파라미터 수정
    *
-   * @param uuid uuid
+   * @param uuid      uuid
    * @param createReq 등록 요청
    * @return ver
    */
-  public String updateHyperParam(UUID uuid, HyperParamDto.HyperParamCreateReq createReq) {
+  public String updateHyperParam(UUID uuid, HyperParam createReq) {
     ModelHyperParamEntity entity =
-        hyperParamRepository
-            .findHyperParamByUuid(uuid)
-            .orElseThrow(() -> new CustomApiException("NOT_FOUND_DATA", HttpStatus.NOT_FOUND));
+      hyperParamRepository
+        .findHyperParamByUuid(uuid)
+        .orElseThrow(() -> new CustomApiException("NOT_FOUND_DATA", HttpStatus.NOT_FOUND));
 
+    if (entity.getIsDefault()) {
+      throw new CustomApiException("UNPROCESSABLE_ENTITY_UPDATE", HttpStatus.UNPROCESSABLE_ENTITY);
+    }
     applyHyperParam(entity, createReq);
 
     // user
@@ -61,48 +72,6 @@ public class HyperParamCoreService {
     return entity.getHyperVer();
   }
 
-  private void applyHyperParam(
-      ModelHyperParamEntity entity, HyperParamDto.HyperParamCreateReq createReq) {
-    // Important
-    entity.setBackbone(createReq.getBackbone());
-    entity.setInputSize(createReq.getInputSize());
-    entity.setCropSize(createReq.getCropSize());
-    entity.setBatchSize(createReq.getBatchSize());
-
-    // Data
-    entity.setTrainNumWorkers(createReq.getTrainNumWorkers());
-    entity.setValNumWorkers(createReq.getValNumWorkers());
-    entity.setTestNumWorkers(createReq.getTestNumWorkers());
-    entity.setTrainShuffle(createReq.getTrainShuffle());
-    entity.setTrainPersistent(createReq.getTrainPersistent());
-    entity.setValPersistent(createReq.getValPersistent());
-
-    // Model Architecture
-    entity.setDropPathRate(createReq.getDropPathRate());
-    entity.setFrozenStages(createReq.getFrozenStages());
-    entity.setNeckPolicy(createReq.getNeckPolicy());
-    entity.setClassWeight(createReq.getClassWeight());
-    entity.setDecoderChannels(createReq.getDecoderChannels());
-
-    // Loss & Optimization
-    entity.setLearningRate(createReq.getLearningRate());
-    entity.setWeightDecay(createReq.getWeightDecay());
-    entity.setLayerDecayRate(createReq.getLayerDecayRate());
-    entity.setDdpFindUnusedParams(createReq.getDdpFindUnusedParams());
-    entity.setIgnoreIndex(createReq.getIgnoreIndex());
-    entity.setNumLayers(createReq.getNumLayers());
-
-    // Evaluation
-    entity.setMetrics(createReq.getMetrics());
-    entity.setSaveBest(createReq.getSaveBest());
-    entity.setSaveBestRule(createReq.getSaveBestRule());
-    entity.setValInterval(createReq.getValInterval());
-    entity.setLogInterval(createReq.getLogInterval());
-    entity.setVisInterval(createReq.getVisInterval());
-
-    // memo
-    entity.setMemo(createReq.getMemo());
-  }
 
   /**
    * 하이퍼파라미터 삭제
@@ -111,12 +80,17 @@ public class HyperParamCoreService {
    */
   public void deleteHyperParam(UUID uuid) {
     ModelHyperParamEntity entity =
-        hyperParamRepository
-            .findHyperParamByUuid(uuid)
-            .orElseThrow(() -> new CustomApiException("NOT_FOUND_DATA", HttpStatus.NOT_FOUND));
+      hyperParamRepository
+        .findHyperParamByUuid(uuid)
+        .orElseThrow(() -> new CustomApiException("NOT_FOUND_DATA", HttpStatus.NOT_FOUND));
 
-    if (entity.getHyperVer().equals("HPs_0001")) {
-      throw new CustomApiException("CONFLICT", HttpStatus.CONFLICT, "HPs_0001 버전은 삭제할수 없습니다.");
+//    if (entity.getHyperVer().equals("HPs_0001")) {
+//      throw new CustomApiException("UNPROCESSABLE_ENTITY", HttpStatus.UNPROCESSABLE_ENTITY);
+//    }
+
+    //디폴트면 삭제불가
+    if (entity.getIsDefault()) {
+      throw new CustomApiException("UNPROCESSABLE_ENTITY", HttpStatus.UNPROCESSABLE_ENTITY);
     }
 
     entity.setDelYn(true);
@@ -129,11 +103,11 @@ public class HyperParamCoreService {
    *
    * @return
    */
-  public HyperParamDto.Basic getInitHyperParam() {
-    ModelHyperParamEntity entity = new ModelHyperParamEntity();
-    entity.setUuid(null);
-    entity.setHyperVer(null);
-    entity.setCreatedDttm(null);
+  public HyperParamDto.Basic getInitHyperParam(ModelType model) {
+    ModelHyperParamEntity entity =
+      hyperParamRepository
+        .getHyperparamByType(model)
+        .orElseThrow(() -> new CustomApiException("NOT_FOUND_DATA", HttpStatus.NOT_FOUND));
     return entity.toDto();
   }
 
@@ -144,38 +118,101 @@ public class HyperParamCoreService {
    */
   public HyperParamDto.Basic getHyperParam(UUID uuid) {
     ModelHyperParamEntity entity =
-        hyperParamRepository
-            .findHyperParamByUuid(uuid)
-            .orElseThrow(() -> new CustomApiException("NOT_FOUND_DATA", HttpStatus.NOT_FOUND));
+      hyperParamRepository
+        .findHyperParamByUuid(uuid)
+        .orElseThrow(() -> new CustomApiException("NOT_FOUND_DATA", HttpStatus.NOT_FOUND));
     return entity.toDto();
   }
 
   /**
    * 하이퍼파라미터 목록 조회
    *
+   * @param model
    * @param req
    * @return
    */
-  public Page<HyperParamDto.List> findByHyperVerList(HyperParamDto.SearchReq req) {
-    return hyperParamRepository.findByHyperVerList(req);
+  public Page<HyperParamDto.List> findByHyperVerList(ModelType model, SearchReq req) {
+    return hyperParamRepository.findByHyperVerList(model, req);
   }
 
   /**
    * 하이퍼파라미터 버전 조회
    *
+   * @param model 모델 타입
    * @return ver
    */
-  public String getFirstHyperParamVersion() {
+  public String getFirstHyperParamVersion(ModelType model) {
     return hyperParamRepository
-        .findHyperParamVer()
-        .map(ModelHyperParamEntity::getHyperVer)
-        .map(this::increase)
-        .orElse("HPs_0001");
+      .findHyperParamVerByModelType(model)
+      .map(ModelHyperParamEntity::getHyperVer)
+      .map(ver -> increase(ver, model))
+      .orElse(model.name() + "_000001");
   }
 
-  private String increase(String hyperVer) {
-    String prefix = "HPs_";
+  /**
+   * 하이퍼 파라미터의 버전을 증가시킨다.
+   *
+   * @param hyperVer  현재 버전
+   * @param modelType 모델 타입
+   * @return 증가된 버전
+   */
+  private String increase(String hyperVer, ModelType modelType) {
+    String prefix = modelType.name() + "_";
     int num = Integer.parseInt(hyperVer.substring(prefix.length()));
-    return prefix + String.format("%04d", num + 1);
+    return prefix + String.format("%06d", num + 1);
   }
+
+  private void applyHyperParam(ModelHyperParamEntity entity, HyperParam src) {
+
+    ModelType model = src.getModel();
+
+    // 하드코딩 모델별로 다른경우 250212 bbn 하드코딩
+    if (model == ModelType.G3) {
+      entity.setCropSize("512,512");
+    } else {
+      entity.setCropSize("256,256");
+    }
+    //    entity.setCropSize(src.getCropSize());
+
+    // Important
+    entity.setModelType(model); // 20250212 modeltype추가
+    entity.setBackbone(src.getBackbone());
+    entity.setInputSize(src.getInputSize());
+    entity.setBatchSize(src.getBatchSize());
+
+    // Data
+    entity.setTrainNumWorkers(src.getTrainNumWorkers());
+    entity.setValNumWorkers(src.getValNumWorkers());
+    entity.setTestNumWorkers(src.getTestNumWorkers());
+    entity.setTrainShuffle(src.getTrainShuffle());
+    entity.setTrainPersistent(src.getTrainPersistent());
+    entity.setValPersistent(src.getValPersistent());
+
+    // Model Architecture
+    entity.setDropPathRate(src.getDropPathRate());
+    entity.setFrozenStages(src.getFrozenStages());
+    entity.setNeckPolicy(src.getNeckPolicy());
+    entity.setClassWeight(src.getClassWeight());
+    entity.setDecoderChannels(src.getDecoderChannels());
+
+    // Loss & Optimization
+    entity.setLearningRate(src.getLearningRate());
+    entity.setWeightDecay(src.getWeightDecay());
+    entity.setLayerDecayRate(src.getLayerDecayRate());
+    entity.setDdpFindUnusedParams(src.getDdpFindUnusedParams());
+    entity.setIgnoreIndex(src.getIgnoreIndex());
+    entity.setNumLayers(src.getNumLayers());
+
+    // Evaluation
+    entity.setMetrics(src.getMetrics());
+    entity.setSaveBest(src.getSaveBest());
+    entity.setSaveBestRule(src.getSaveBestRule());
+    entity.setValInterval(src.getValInterval());
+    entity.setLogInterval(src.getLogInterval());
+    entity.setVisInterval(src.getVisInterval());
+
+    // memo
+    entity.setMemo(src.getMemo());
+  }
+
 }

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

@@ -1,159 +0,0 @@
-package com.kamco.cd.training.postgres.core;
-
-import com.kamco.cd.training.common.exception.BadRequestException;
-import com.kamco.cd.training.common.exception.CustomApiException;
-import com.kamco.cd.training.common.exception.NotFoundException;
-import com.kamco.cd.training.common.utils.UserUtil;
-import com.kamco.cd.training.model.dto.ModelMngDto;
-import com.kamco.cd.training.model.dto.ModelTrainDto;
-import com.kamco.cd.training.model.dto.ModelTrainDto.Basic;
-import com.kamco.cd.training.postgres.entity.ModelDatasetMappEntity;
-import com.kamco.cd.training.postgres.entity.ModelMasterEntity;
-import com.kamco.cd.training.postgres.repository.model.ModelDatasetMappRepository;
-import com.kamco.cd.training.postgres.repository.model.ModelMngRepository;
-import java.time.ZonedDateTime;
-import java.util.List;
-import java.util.UUID;
-import lombok.RequiredArgsConstructor;
-import org.springframework.data.domain.Page;
-import org.springframework.http.HttpStatus;
-import org.springframework.stereotype.Service;
-
-@Service
-@RequiredArgsConstructor
-public class ModelMngCoreService {
-  private final ModelMngRepository modelMngRepository;
-  private final ModelDatasetMappRepository modelDatasetMappRepository;
-  private final UserUtil userUtil;
-
-  /**
-   * 모델 목록 조회
-   *
-   * @param searchReq 검색 조건
-   * @return 페이징 처리된 모델 목록
-   */
-  public Page<Basic> findByModelList(ModelTrainDto.SearchReq searchReq) {
-    Page<ModelMasterEntity> entityPage = modelMngRepository.findByModels(searchReq);
-    return entityPage.map(ModelMasterEntity::toDto);
-  }
-
-  /**
-   * 학습모델 삭제
-   *
-   * @param uuid
-   */
-  public void deleteModel(UUID uuid) {
-    ModelMasterEntity entity =
-        modelMngRepository
-            .findByUuid(uuid)
-            .orElseThrow(() -> new CustomApiException("NOT_FOUND_DATA", HttpStatus.NOT_FOUND));
-    entity.setDelYn(true);
-    entity.setUpdatedDttm(ZonedDateTime.now());
-    entity.setUpdatedUid(userUtil.getId());
-  }
-
-  /**
-   * 모델 상세 조회
-   *
-   * @param modelUid 모델 UID
-   * @return 모델 상세 정보
-   */
-  public ModelMngDto.Detail getModelDetail(Long modelUid) {
-    ModelMasterEntity entity =
-        modelMngRepository
-            .findById(modelUid)
-            .orElseThrow(() -> new NotFoundException("모델을 찾을 수 없습니다. ID: " + modelUid));
-
-    if (Boolean.TRUE.equals(entity.getDelYn())) {
-      throw new NotFoundException("삭제된 모델입니다. ID: " + modelUid);
-    }
-
-    return null;
-    //    ModelMngDto.Detail.builder()
-    //        .uuid(entity.getUuid().toString())
-    //        .modelVer(entity.getModelVer())
-    //        .epochVer(entity.getEpochVer())
-    //        .processStep(entity.getProcessStep())
-    //        .trainStartDttm(entity.getTrainStartDttm())
-    //        .epochCnt(entity.getEpochCnt())
-    //        .datasetRatio(entity.getDatasetRatio())
-    //        .bestEpoch(entity.getBestEpoch())
-    //        .confirmedBestEpoch(entity.getConfirmedBestEpoch())
-    //        .step1EndDttm(entity.getStep1EndDttm())
-    //        .step1Duration(entity.getStep1Duration())
-    //        .step2EndDttm(entity.getStep2EndDttm())
-    //        .step2Duration(entity.getStep2Duration())
-    //        .progressRate(entity.getProgressRate())
-    //        .createdDttm(entity.getCreatedDttm())
-    //        .updatedDttm(entity.getUpdatedDttm())
-    //        .modelPath(entity.getModelPath())
-    //        .errorMsg(entity.getErrorMsg())
-    //        .build();
-  }
-
-  /**
-   * 현재 실행 중인 모델 확인
-   *
-   * @return 실행 중인 모델 UUID (없으면 null)
-   */
-  public String findRunningModelUuid() {
-    return modelMngRepository
-        .findFirstByStatusCdAndDelYn("RUNNING", false)
-        .map(entity -> entity.getUuid().toString())
-        .orElse(null);
-  }
-
-  /**
-   * 학습 마스터 생성
-   *
-   * @param trainReq 학습 시작 요청
-   * @return 생성된 모델 Entity
-   */
-  public ModelMasterEntity createTrainMaster(ModelMngDto.TrainStartReq trainReq) {
-    //    ModelMasterEntity entity = new ModelMasterEntity();
-    //    entity.setModelVer(trainReq.getHyperVer());
-    //    entity.setEpochVer(String.valueOf(trainReq.getEpoch()));
-    //    entity.setProcessStep("STEP1");
-    //    entity.setTrainStartDttm(ZonedDateTime.now());
-    //    entity.setEpochCnt(trainReq.getEpoch());
-    //    entity.setDatasetRatio(trainReq.getDatasetRatio());
-    //    entity.setDelYn(false);
-    //    entity.setCreatedDttm(ZonedDateTime.now());
-    //    entity.setProgressRate(0);
-
-    return null; // modelMngRepository.save(entity);
-  }
-
-  /**
-   * 데이터셋 매핑 생성
-   *
-   * @param modelUid 모델 UID
-   * @param datasetIds 데이터셋 ID 목록
-   */
-  public void createDatasetMappings(Long modelUid, List<Long> datasetIds) {
-    for (Long datasetId : datasetIds) {
-      ModelDatasetMappEntity mapping = new ModelDatasetMappEntity();
-      mapping.setModelUid(modelUid);
-      mapping.setDatasetUid(datasetId);
-      mapping.setDatasetType("TRAIN");
-      modelDatasetMappRepository.save(mapping);
-    }
-  }
-
-  /**
-   * UUID로 모델 조회
-   *
-   * @param uuid UUID
-   * @return 모델 Entity
-   */
-  public ModelMasterEntity findByUuid(String uuid) {
-    try {
-      java.util.UUID uuidObj = java.util.UUID.fromString(uuid);
-      return modelMngRepository
-          .findByUuid(uuidObj)
-          .orElseThrow(() -> new NotFoundException("모델을 찾을 수 없습니다. UUID: " + uuid));
-    } catch (IllegalArgumentException e) {
-      throw new BadRequestException("잘못된 UUID 형식입니다: " + uuid);
-    }
-  }
-}

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

@@ -0,0 +1,29 @@
+package com.kamco.cd.training.postgres.core;
+
+import com.kamco.cd.training.postgres.repository.train.ModelTestMetricsJobRepository;
+import com.kamco.cd.training.train.dto.ModelTrainMetricsDto.ResponsePathDto;
+import java.util.List;
+import lombok.RequiredArgsConstructor;
+import org.springframework.stereotype.Service;
+import org.springframework.transaction.annotation.Transactional;
+
+@Service
+@RequiredArgsConstructor
+public class ModelTestMetricsJobCoreService {
+
+  private final ModelTestMetricsJobRepository modelTestMetricsJobRepository;
+
+  @Transactional
+  public void updateModelMetricsTrainSaveYn(Long modelId, String stepNo) {
+    modelTestMetricsJobRepository.updateModelMetricsTrainSaveYn(modelId, stepNo);
+  }
+
+  // Test 로직 시작
+  public List<ResponsePathDto> getTestMetricSaveNotYetModelIds() {
+    return modelTestMetricsJobRepository.getTestMetricSaveNotYetModelIds();
+  }
+
+  public void insertModelMetricsTest(List<Object[]> batchArgs) {
+    modelTestMetricsJobRepository.insertModelMetricsTest(batchArgs);
+  }
+}

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

@@ -0,0 +1,100 @@
+package com.kamco.cd.training.postgres.core;
+
+import com.kamco.cd.training.common.exception.BadRequestException;
+import com.kamco.cd.training.common.exception.NotFoundException;
+import com.kamco.cd.training.common.utils.UserUtil;
+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;
+import com.kamco.cd.training.model.dto.ModelTrainDetailDto.MappingDataset;
+import com.kamco.cd.training.model.dto.ModelTrainDetailDto.ModelBestEpoch;
+import com.kamco.cd.training.model.dto.ModelTrainDetailDto.ModelTestMetrics;
+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.TransferHyperSummary;
+import com.kamco.cd.training.model.dto.ModelTrainMngDto.Basic;
+import com.kamco.cd.training.postgres.entity.ModelMasterEntity;
+import com.kamco.cd.training.postgres.repository.model.ModelConfigRepository;
+import com.kamco.cd.training.postgres.repository.model.ModelDetailRepository;
+import java.util.List;
+import java.util.UUID;
+import lombok.RequiredArgsConstructor;
+import org.springframework.stereotype.Service;
+
+@Service
+@RequiredArgsConstructor
+public class ModelTrainDetailCoreService {
+  private final ModelDetailRepository modelDetailRepository;
+  private final ModelConfigRepository modelConfigRepository;
+  private final UserUtil userUtil;
+
+  /**
+   * UUID로 모델 조회
+   *
+   * @param uuid UUID
+   * @return 모델 Entity
+   */
+  public ModelMasterEntity findByUuid(String uuid) {
+    try {
+      UUID uuidObj = UUID.fromString(uuid);
+      return modelDetailRepository
+          .findByUuid(uuidObj)
+          .orElseThrow(() -> new NotFoundException("모델을 찾을 수 없습니다. UUID: " + uuid));
+    } catch (IllegalArgumentException e) {
+      throw new BadRequestException("잘못된 UUID 형식입니다: " + uuid);
+    }
+  }
+
+  /**
+   * 상세정보 페이지 > 요약정보
+   *
+   * @param uuid
+   * @return
+   */
+  public DetailSummary getModelDetailSummary(UUID uuid) {
+    return modelDetailRepository.getModelDetailSummary(uuid);
+  }
+
+  public HyperSummary getByModelHyperParamSummary(UUID uuid) {
+    return modelDetailRepository.getByModelHyperParamSummary(uuid);
+  }
+
+  public TransferHyperSummary getTransferHyperSummary(UUID uuid) {
+    return modelDetailRepository.getByModelTransferHyperParamSummary(uuid);
+  }
+
+  public List<MappingDataset> getByModelMappingDataset(UUID uuid) {
+    return modelDetailRepository.getByModelMappingDataset(uuid);
+  }
+
+  public Basic findByModelByUUID(UUID uuid) {
+    ModelMasterEntity entity = modelDetailRepository.findByModelByUUID(uuid);
+    return entity.toDto();
+  }
+
+  /**
+   * 모델 학습별 config 정보 조회
+   *
+   * @param modelId
+   * @return
+   */
+  public ModelConfigDto.Basic findModelConfig(Long modelId) {
+    return modelConfigRepository.findModelConfigByModelId(modelId).orElse(null);
+  }
+
+  public List<ModelTrainMetrics> getModelTrainMetricResult(UUID uuid) {
+    return modelDetailRepository.getModelTrainMetricResult(uuid);
+  }
+
+  public List<ModelValidationMetrics> getModelValidationMetricResult(UUID uuid) {
+    return modelDetailRepository.getModelValidationMetricResult(uuid);
+  }
+
+  public List<ModelTestMetrics> getModelTestMetricResult(UUID uuid) {
+    return modelDetailRepository.getModelTestMetricResult(uuid);
+  }
+
+  public ModelBestEpoch getModelTrainBestEpoch(UUID uuid) {
+    return modelDetailRepository.getModelTrainBestEpoch(uuid);
+  }
+}

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

@@ -0,0 +1,107 @@
+package com.kamco.cd.training.postgres.core;
+
+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.Map;
+import java.util.Optional;
+import lombok.RequiredArgsConstructor;
+import org.springframework.stereotype.Service;
+import org.springframework.transaction.annotation.Transactional;
+
+@Service
+@RequiredArgsConstructor
+@Transactional(readOnly = true)
+public class ModelTrainJobCoreService {
+
+  private final ModelTrainJobRepository modelTrainJobRepository;
+
+  public int findMaxAttemptNo(Long modelId) {
+    return modelTrainJobRepository.findMaxAttemptNo(modelId);
+  }
+
+  public Optional<ModelTrainJobDto> findLatestByModelId(Long modelId) {
+    return modelTrainJobRepository.findLatestByModelId(modelId).map(ModelTrainJobEntity::toDto);
+  }
+
+  public Optional<ModelTrainJobDto> findById(Long jobId) {
+    return modelTrainJobRepository.findById(jobId).map(ModelTrainJobEntity::toDto);
+  }
+
+  /** QUEUED Job 생성 */
+  @Transactional
+  public Long createQueuedJob(
+      Long modelId, int attemptNo, Map<String, Object> paramsJson, ZonedDateTime queuedDttm) {
+
+    ModelTrainJobEntity job = new ModelTrainJobEntity();
+    job.setModelId(modelId);
+    job.setAttemptNo(attemptNo);
+    job.setStatusCd("QUEUED");
+    job.setParamsJson(paramsJson);
+    job.setQueuedDttm(queuedDttm != null ? queuedDttm : ZonedDateTime.now());
+
+    modelTrainJobRepository.save(job);
+    return job.getId();
+  }
+
+  /** 실행 시작 처리 */
+  @Transactional
+  public void markRunning(
+      Long jobId, String containerName, String logPath, String lockedBy, Integer totalEpoch) {
+    ModelTrainJobEntity job =
+        modelTrainJobRepository
+            .findById(jobId)
+            .orElseThrow(() -> new IllegalArgumentException("Job not found: " + jobId));
+
+    job.setStatusCd("RUNNING");
+    job.setContainerName(containerName);
+    job.setLogPath(logPath);
+    job.setStartedDttm(ZonedDateTime.now());
+    job.setLockedDttm(ZonedDateTime.now());
+    job.setLockedBy(lockedBy);
+
+    if (totalEpoch != null) {
+      job.setTotalEpoch(totalEpoch);
+    }
+  }
+
+  /** 성공 처리 */
+  @Transactional
+  public void markSuccess(Long jobId, int exitCode) {
+    ModelTrainJobEntity job =
+        modelTrainJobRepository
+            .findById(jobId)
+            .orElseThrow(() -> new IllegalArgumentException("Job not found: " + jobId));
+
+    job.setStatusCd("SUCCESS");
+    job.setExitCode(exitCode);
+    job.setFinishedDttm(ZonedDateTime.now());
+  }
+
+  /** 실패 처리 */
+  @Transactional
+  public void markFailed(Long jobId, Integer exitCode, String errorMessage) {
+    ModelTrainJobEntity job =
+        modelTrainJobRepository
+            .findById(jobId)
+            .orElseThrow(() -> new IllegalArgumentException("Job not found: " + jobId));
+
+    job.setStatusCd("FAILED");
+    job.setExitCode(exitCode);
+    job.setErrorMessage(errorMessage);
+    job.setFinishedDttm(ZonedDateTime.now());
+  }
+
+  /** 취소 처리 */
+  @Transactional
+  public void markCanceled(Long jobId) {
+    ModelTrainJobEntity job =
+        modelTrainJobRepository
+            .findById(jobId)
+            .orElseThrow(() -> new IllegalArgumentException("Job not found: " + jobId));
+
+    job.setStatusCd("STOPPED");
+    job.setFinishedDttm(ZonedDateTime.now());
+  }
+}

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

@@ -0,0 +1,32 @@
+package com.kamco.cd.training.postgres.core;
+
+import com.kamco.cd.training.postgres.repository.train.ModelTrainMetricsJobRepository;
+import com.kamco.cd.training.train.dto.ModelTrainMetricsDto.ResponsePathDto;
+import java.util.List;
+import lombok.RequiredArgsConstructor;
+import org.springframework.stereotype.Service;
+import org.springframework.transaction.annotation.Transactional;
+
+@Service
+@RequiredArgsConstructor
+public class ModelTrainMetricsJobCoreService {
+
+  private final ModelTrainMetricsJobRepository modelTrainMetricsJobRepository;
+
+  public List<ResponsePathDto> getTrainMetricSaveNotYetModelIds() {
+    return modelTrainMetricsJobRepository.getTrainMetricSaveNotYetModelIds();
+  }
+
+  public void insertModelMetricsTrain(List<Object[]> batchArgs) {
+    modelTrainMetricsJobRepository.insertModelMetricsTrain(batchArgs);
+  }
+
+  @Transactional
+  public void updateModelMetricsTrainSaveYn(Long modelId, String stepNo) {
+    modelTrainMetricsJobRepository.updateModelMetricsTrainSaveYn(modelId, stepNo);
+  }
+
+  public void insertModelMetricsValidation(List<Object[]> batchArgs) {
+    modelTrainMetricsJobRepository.insertModelMetricsValidation(batchArgs);
+  }
+}

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

@@ -0,0 +1,534 @@
+package com.kamco.cd.training.postgres.core;
+
+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.exception.BadRequestException;
+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.model.dto.ModelConfigDto;
+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.TrainingDataset;
+import com.kamco.cd.training.postgres.entity.ModelConfigEntity;
+import com.kamco.cd.training.postgres.entity.ModelDatasetEntity;
+import com.kamco.cd.training.postgres.entity.ModelDatasetMappEntity;
+import com.kamco.cd.training.postgres.entity.ModelHyperParamEntity;
+import com.kamco.cd.training.postgres.entity.ModelMasterEntity;
+import com.kamco.cd.training.postgres.repository.dataset.DatasetRepository;
+import com.kamco.cd.training.postgres.repository.hyperparam.HyperParamRepository;
+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.TrainRunRequest;
+import java.time.ZonedDateTime;
+import java.util.ArrayList;
+import java.util.List;
+import java.util.UUID;
+import lombok.RequiredArgsConstructor;
+import org.springframework.data.domain.Page;
+import org.springframework.http.HttpStatus;
+import org.springframework.stereotype.Service;
+import org.springframework.transaction.annotation.Propagation;
+import org.springframework.transaction.annotation.Transactional;
+
+@Service
+@RequiredArgsConstructor
+public class ModelTrainMngCoreService {
+
+  private final ModelMngRepository modelMngRepository;
+  private final ModelDatasetRepository modelDatasetRepository;
+  private final ModelDatasetMappRepository modelDatasetMapRepository;
+  private final ModelConfigRepository modelConfigRepository;
+  private final HyperParamRepository hyperParamRepository;
+  private final DatasetRepository datasetRepository;
+  private final UserUtil userUtil;
+
+  /**
+   * 모델 목록 조회
+   *
+   * @param searchReq 검색 조건
+   * @return 페이징 처리된 모델 목록
+   */
+  public Page<Basic> findByModelList(ModelTrainMngDto.SearchReq searchReq) {
+    Page<ModelMasterEntity> entityPage = modelMngRepository.findByModels(searchReq);
+    return entityPage.map(ModelMasterEntity::toDto);
+  }
+
+  /**
+   * 학습모델 삭제
+   *
+   * @param uuid
+   */
+  public void deleteModel(UUID uuid) {
+    ModelMasterEntity entity =
+      modelMngRepository
+        .findByUuid(uuid)
+        .orElseThrow(() -> new CustomApiException("NOT_FOUND_DATA", HttpStatus.NOT_FOUND));
+    entity.setDelYn(true);
+    entity.setUpdatedDttm(ZonedDateTime.now());
+    entity.setUpdatedUid(userUtil.getId());
+  }
+
+  /**
+   * 모델학습 저장
+   *
+   * @param addReq
+   * @return
+   */
+  public ModelTrainMngDto.Basic saveModel(ModelTrainMngDto.AddReq addReq) {
+    ModelMasterEntity entity = new ModelMasterEntity();
+    ModelHyperParamEntity hyperParamEntity = new ModelHyperParamEntity();
+
+//     최적화 파라미터는 모델 type의 디폴트사용
+    if (HyperParamSelectType.OPTIMIZED.getId().equals(addReq.getHyperParamType())) {
+      ModelType modelType = ModelType.getValueData(addReq.getModelNo());
+      hyperParamEntity = hyperParamRepository.getHyperparamByType(modelType).orElse(null);
+//      hyperParamEntity = hyperParamRepository.findByHyperVer("HPs_0001").orElse(null);
+
+    } else {
+      hyperParamEntity =
+        hyperParamRepository.findHyperParamByUuid(addReq.getHyperUuid()).orElse(null);
+    }
+
+    if (hyperParamEntity == null || hyperParamEntity.getHyperVer() == null) {
+      throw new CustomApiException("NOT_FOUND_DATA", HttpStatus.NOT_FOUND);
+    }
+
+    String modelVer =
+      String.join(
+        ".", addReq.getModelNo(), hyperParamEntity.getHyperVer(), entity.getUuid().toString());
+    entity.setModelVer(modelVer);
+    entity.setHyperParamId(hyperParamEntity.getId());
+    entity.setModelNo(addReq.getModelNo());
+    entity.setTrainType(addReq.getTrainType()); // 일반, 전이
+    entity.setBeforeModelId(addReq.getBeforeModelId());
+
+    if (addReq.getIsStart()) {
+      entity.setModelStep((short) 1);
+      entity.setStatusCd(TrainStatusType.IN_PROGRESS.getId());
+      entity.setStrtDttm(ZonedDateTime.now());
+      entity.setStep1StrtDttm(ZonedDateTime.now());
+      entity.setStep1State(TrainStatusType.IN_PROGRESS.getId());
+    } else {
+      entity.setStatusCd(TrainStatusType.READY.getId());
+      entity.setStep1State(TrainStatusType.READY.getId());
+    }
+
+    entity.setCreatedUid(userUtil.getId());
+    ModelMasterEntity resultEntity = modelMngRepository.save(entity);
+
+    ModelTrainMngDto.Basic result = new ModelTrainMngDto.Basic();
+    result.setId(resultEntity.getId());
+    result.setUuid(resultEntity.getUuid());
+
+    return result;
+  }
+
+  /**
+   * data set 저장
+   *
+   * @param modelId 저장한 모델 학습 id
+   * @param addReq  요청 파라미터
+   */
+  public void saveModelDataset(Long modelId, ModelTrainMngDto.AddReq addReq) {
+    TrainingDataset dataset = addReq.getTrainingDataset();
+    ModelMasterEntity modelMasterEntity = new ModelMasterEntity();
+    ModelDatasetEntity datasetEntity = new ModelDatasetEntity();
+
+    modelMasterEntity.setId(modelId);
+    datasetEntity.setModel(modelMasterEntity);
+
+    if (addReq.getModelNo().equals(ModelType.G1.getId())) {
+      datasetEntity.setBuildingCnt(dataset.getSummary().getBuildingCnt());
+      datasetEntity.setContainerCnt(dataset.getSummary().getContainerCnt());
+    } else if (addReq.getModelNo().equals(ModelType.G2.getId())) {
+      datasetEntity.setWasteCnt(dataset.getSummary().getWasteCnt());
+    } else if (addReq.getModelNo().equals(ModelType.G3.getId())) {
+      datasetEntity.setLandCoverCnt(dataset.getSummary().getLandCoverCnt());
+    }
+
+    datasetEntity.setCreatedUid(userUtil.getId());
+
+    // data set 저장
+    modelDatasetRepository.save(datasetEntity);
+  }
+
+  /**
+   * 학습모델 수정
+   *
+   * @param modelId
+   * @param req
+   */
+  public void updateModelMaster(Long modelId, ModelTrainMngDto.UpdateReq req) {
+    ModelMasterEntity entity =
+      modelMngRepository
+        .findById(modelId)
+        .orElseThrow(() -> new CustomApiException("NOT_FOUND_DATA", HttpStatus.NOT_FOUND));
+    if (req.getRequestPath() != null && !req.getRequestPath().isEmpty()) {
+      entity.setRequestPath(req.getRequestPath());
+    }
+
+    if (req.getResponsePath() != null && !req.getResponsePath().isEmpty()) {
+      entity.setRequestPath(req.getResponsePath());
+    }
+  }
+
+  /**
+   * 모델 데이터셋 mapping 테이블 저장
+   *
+   * @param modelId     모델학습 id
+   * @param datasetList 선택한 data set
+   */
+  public void saveModelDatasetMap(Long modelId, List<Long> datasetList) {
+
+    for (Long datasetId : datasetList) {
+      ModelDatasetMappEntity mapEntity = new ModelDatasetMappEntity();
+      mapEntity.setModelUid(modelId);
+      mapEntity.setDatasetUid(datasetId);
+      modelDatasetMapRepository.save(mapEntity);
+    }
+  }
+
+  /**
+   * 모델학습 config 저장
+   *
+   * @param modelId 모델학습 id
+   * @param req     요청 파라미터
+   * @return
+   */
+  public void saveModelConfig(Long modelId, ModelTrainMngDto.ModelConfig req) {
+    ModelMasterEntity modelMasterEntity = new ModelMasterEntity();
+    ModelConfigEntity entity = new ModelConfigEntity();
+    modelMasterEntity.setId(modelId);
+    entity.setModel(modelMasterEntity);
+    entity.setEpochCount(req.getEpochCnt());
+    entity.setTrainPercent(req.getTrainingCnt());
+    entity.setValidationPercent(req.getValidationCnt());
+    entity.setTestPercent(req.getTestCnt());
+    entity.setMemo(req.getMemo());
+
+    modelConfigRepository.save(entity);
+  }
+
+  /**
+   * 데이터셋 매핑 생성
+   *
+   * @param modelUid   모델 UID
+   * @param datasetIds 데이터셋 ID 목록
+   */
+  public void createDatasetMappings(Long modelUid, List<Long> datasetIds) {
+    for (Long datasetId : datasetIds) {
+      ModelDatasetMappEntity mapping = new ModelDatasetMappEntity();
+      mapping.setModelUid(modelUid);
+      mapping.setDatasetUid(datasetId);
+      mapping.setDatasetType("TRAIN");
+      modelDatasetMapRepository.save(mapping);
+    }
+  }
+
+  /**
+   * UUID로 모델 조회
+   *
+   * @param uuid UUID
+   * @return 모델 Entity
+   */
+  public ModelMasterEntity findByUuid(UUID uuid) {
+    try {
+      return modelMngRepository
+        .findByUuid(uuid)
+        .orElseThrow(() -> new CustomApiException("NOT_FOUND_DATA", HttpStatus.NOT_FOUND));
+    } catch (IllegalArgumentException e) {
+      throw new BadRequestException("잘못된 UUID 형식입니다: " + uuid);
+    }
+  }
+
+  /**
+   * uuid로 model id 조회
+   *
+   * @param uuid
+   * @return
+   */
+  public Long findModelIdByUuid(UUID uuid) {
+    ModelMasterEntity entity =
+      modelMngRepository
+        .findByUuid(uuid)
+        .orElseThrow(() -> new CustomApiException("NOT_FOUND_DATA", HttpStatus.NOT_FOUND));
+    return entity.getId();
+  }
+
+  /**
+   * 모델학습 아이디로 config정보 조회
+   *
+   * @param uuid
+   * @return
+   */
+  public ModelConfigDto.Basic findModelConfigByModelId(UUID uuid) {
+    ModelMasterEntity modelEntity = findByUuid(uuid);
+    return modelConfigRepository
+      .findModelConfigByModelId(modelEntity.getId())
+      .orElseThrow(() -> new CustomApiException("NOT_FOUND_DATA", HttpStatus.NOT_FOUND));
+  }
+
+  /**
+   * 데이터셋 G1 목록
+   *
+   * @param req
+   * @return
+   */
+  public List<SelectDataSet> getDatasetSelectG1List(DatasetReq req) {
+    return datasetRepository.getDatasetSelectG1List(req);
+  }
+
+  /**
+   * 데이터셋 G2, G3 목록
+   *
+   * @param req
+   * @return
+   */
+  public List<SelectDataSet> getDatasetSelectG2G3List(DatasetReq req) {
+    return datasetRepository.getDatasetSelectG2G3List(req);
+  }
+
+  /**
+   * 모델관리 조회
+   *
+   * @param id
+   * @return
+   */
+  public ModelTrainMngDto.Basic findModelById(Long id) {
+    ModelMasterEntity entity =
+      modelMngRepository
+        .findById(id)
+        .orElseThrow(() -> new IllegalArgumentException("Model not found: " + id));
+    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) {
+    ModelMasterEntity master =
+      modelMngRepository
+        .findById(modelId)
+        .orElseThrow(() -> new IllegalArgumentException("Model not found: " + modelId));
+
+    master.setStatusCd(TrainStatusType.IN_PROGRESS.getId());
+    master.setCurrentAttemptId(jobId);
+
+    // 필요하면 시작시간도 여기서 찍어줌
+  }
+
+  /**
+   * 마지막 에러 메시지 초기화 - 재시작/새 실행 때 이전 에러 흔적 제거
+   */
+  @Transactional
+  public void clearLastError(Long modelId) {
+    ModelMasterEntity master =
+      modelMngRepository
+        .findById(modelId)
+        .orElseThrow(() -> new IllegalArgumentException("Model not found: " + modelId));
+
+    master.setLastError(null);
+  }
+
+  /**
+   * 중단 처리(옵션) - cancel에서 쓰려고 하면 같이 구현
+   */
+  @Transactional
+  public void markStopped(Long modelId) {
+    ModelMasterEntity master =
+      modelMngRepository
+        .findById(modelId)
+        .orElseThrow(() -> new IllegalArgumentException("Model not found: " + modelId));
+
+    master.setStatusCd(TrainStatusType.STOPPED.getId());
+  }
+
+  /**
+   * 완료 처리(옵션) - Worker가 성공 시 호출
+   */
+  @Transactional
+  public void markCompleted(Long modelId) {
+    ModelMasterEntity master =
+      modelMngRepository
+        .findById(modelId)
+        .orElseThrow(() -> new IllegalArgumentException("Model not found: " + modelId));
+
+    master.setStatusCd(TrainStatusType.COMPLETED.getId());
+  }
+
+  /**
+   * step 1오류 처리(옵션) - Worker가 실패 시 호출
+   */
+  @Transactional
+  public void markError(Long modelId, String errorMessage) {
+    ModelMasterEntity master =
+      modelMngRepository
+        .findById(modelId)
+        .orElseThrow(() -> new IllegalArgumentException("Model not found: " + modelId));
+
+    master.setStatusCd(TrainStatusType.ERROR.getId());
+    master.setStep1State(TrainStatusType.ERROR.getId());
+    master.setLastError(errorMessage);
+    master.setUpdatedUid(userUtil.getId());
+    master.setUpdatedDttm(ZonedDateTime.now());
+  }
+
+  /**
+   * step 2오류 처리(옵션) - Worker가 실패 시 호출
+   */
+  @Transactional
+  public void markStep2Error(Long modelId, String errorMessage) {
+    ModelMasterEntity master =
+      modelMngRepository
+        .findById(modelId)
+        .orElseThrow(() -> new IllegalArgumentException("Model not found: " + modelId));
+
+    master.setStatusCd(TrainStatusType.ERROR.getId());
+    master.setStep2State(TrainStatusType.ERROR.getId());
+    master.setLastError(errorMessage);
+    master.setUpdatedUid(userUtil.getId());
+    master.setUpdatedDttm(ZonedDateTime.now());
+  }
+
+  @Transactional
+  public void markSuccess(Long modelId) {
+    ModelMasterEntity master =
+      modelMngRepository
+        .findById(modelId)
+        .orElseThrow(() -> new IllegalArgumentException("Model not found: " + modelId));
+
+    // 모델 상태 완료 처리
+    master.setStatusCd(TrainStatusType.COMPLETED.getId());
+
+    // (선택) 마지막 에러 메시지 비우기
+    master.setLastError(null);
+  }
+
+  /**
+   * 학습 실행에 필요한 파라미터 조회
+   *
+   * @param modelId
+   * @return
+   */
+  public TrainRunRequest findTrainRunRequest(Long modelId) {
+    return modelMngRepository.findTrainRunRequest(modelId);
+  }
+
+  /**
+   * step1 진행중 처리
+   *
+   * @param modelId
+   * @param jobId
+   */
+  @Transactional(propagation = Propagation.REQUIRES_NEW)
+  public void markStep1InProgress(Long modelId, Long jobId) {
+    ModelMasterEntity entity =
+      modelMngRepository
+        .findById(modelId)
+        .orElseThrow(() -> new IllegalArgumentException("Model not found: " + modelId));
+
+    entity.setStatusCd(TrainStatusType.IN_PROGRESS.getId());
+    entity.setStep1StrtDttm(ZonedDateTime.now());
+    entity.setStep1State(TrainStatusType.IN_PROGRESS.getId());
+    entity.setCurrentAttemptId(jobId);
+    entity.setUpdatedDttm(ZonedDateTime.now());
+    entity.setUpdatedUid(userUtil.getId());
+  }
+
+  /**
+   * step2 진행중 처리
+   *
+   * @param modelId
+   */
+  @Transactional(propagation = Propagation.REQUIRES_NEW)
+  public void markStep2InProgress(Long modelId, Long jobId) {
+    ModelMasterEntity entity =
+      modelMngRepository
+        .findById(modelId)
+        .orElseThrow(() -> new IllegalArgumentException("Model not found: " + modelId));
+
+    entity.setStatusCd(TrainStatusType.IN_PROGRESS.getId());
+    entity.setStep2StrtDttm(ZonedDateTime.now());
+    entity.setStep2State(TrainStatusType.IN_PROGRESS.getId());
+    entity.setCurrentAttemptId(jobId);
+    entity.setUpdatedDttm(ZonedDateTime.now());
+    entity.setUpdatedUid(userUtil.getId());
+  }
+
+  /**
+   * step1 완료처리
+   *
+   * @param modelId
+   */
+  @Transactional(propagation = Propagation.REQUIRES_NEW)
+  public void markStep1Success(Long modelId) {
+    ModelMasterEntity entity =
+      modelMngRepository
+        .findById(modelId)
+        .orElseThrow(() -> new IllegalArgumentException("Model not found: " + modelId));
+
+    entity.setStatusCd(TrainStatusType.COMPLETED.getId());
+    entity.setStep1State(TrainStatusType.COMPLETED.getId());
+    entity.setStep1EndDttm(ZonedDateTime.now());
+    entity.setUpdatedDttm(ZonedDateTime.now());
+    entity.setUpdatedUid(userUtil.getId());
+  }
+
+  /**
+   * step2 완료처리
+   *
+   * @param modelId
+   */
+  @Transactional(propagation = Propagation.REQUIRES_NEW)
+  public void markStep2Success(Long modelId) {
+    ModelMasterEntity entity =
+      modelMngRepository
+        .findById(modelId)
+        .orElseThrow(() -> new IllegalArgumentException("Model not found: " + modelId));
+
+    entity.setStatusCd(TrainStatusType.COMPLETED.getId());
+    entity.setStep2State(TrainStatusType.COMPLETED.getId());
+    entity.setStep2EndDttm(ZonedDateTime.now());
+    entity.setUpdatedDttm(ZonedDateTime.now());
+    entity.setUpdatedUid(userUtil.getId());
+  }
+
+  public void updateModelMasterBestEpoch(Long modelId, int epoch) {
+    ModelMasterEntity entity =
+      modelMngRepository
+        .findById(modelId)
+        .orElseThrow(() -> new IllegalArgumentException("Model not found: " + modelId));
+
+    entity.setBestEpoch(epoch);
+  }
+
+  /**
+   * 데이터셋 uid 조회
+   *
+   * @param datasetIds
+   * @return
+   */
+  public List<String> findDatasetUid(List<Long> datasetIds) {
+    return datasetRepository.findDatasetUid(datasetIds);
+  }
+
+  public List<Long> findModelDatasetMapp(Long modelId) {
+    List<Long> datasetUids = new ArrayList<>();
+    List<ModelDatasetMappEntity> entities = modelDatasetMapRepository.findByModelUid(modelId);
+    for (ModelDatasetMappEntity entity : entities) {
+      datasetUids.add(entity.getDatasetUid());
+    }
+
+    return datasetUids;
+  }
+
+  public Long findModelStep1InProgressCnt() {
+    return modelMngRepository.findModelStep1InProgressCnt();
+  }
+}

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

@@ -2,6 +2,7 @@ package com.kamco.cd.training.postgres.core;
 
 import com.kamco.cd.training.postgres.repository.upload.UploadSessionRepository;
 import com.kamco.cd.training.upload.dto.UploadDto;
+import java.util.UUID;
 import lombok.RequiredArgsConstructor;
 import org.springframework.stereotype.Service;
 
@@ -39,8 +40,8 @@ public class UploadSessionCoreService {
     uploadSessionRepository.insertUploadSession(addReq);
   }
 
-  public UploadDto.uploadDto findByDatasetUid(Long datasetId, String uploadDivi) {
-    return uploadSessionRepository.findByDatasetUid(datasetId, uploadDivi);
+  public UploadDto.uploadDto findByDatasetUid(String uploadDivi, UUID uuid) {
+    return uploadSessionRepository.findByDatasetUid(uploadDivi, uuid);
   }
 
   public UploadDto.uploadDto findByUuid(String uuid) {

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

@@ -121,7 +121,7 @@ public class DatasetEntity {
   @JdbcTypeCode(SqlTypes.JSON)
   private Map<String, Integer> classCounts;
 
-  @Size(max = 255)
+  @Size(max = 32)
   @Column(name = "uid")
   private String uid;
 

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

@@ -15,6 +15,9 @@ import java.util.UUID;
 import lombok.Getter;
 import lombok.Setter;
 import org.hibernate.annotations.ColumnDefault;
+import org.hibernate.annotations.JdbcTypeCode;
+import org.hibernate.type.SqlTypes;
+import org.locationtech.jts.geom.Geometry;
 
 @Getter
 @Setter
@@ -79,6 +82,20 @@ public class DatasetObjEntity {
   @Column(name = "uuid")
   private UUID uuid;
 
+  @Size(max = 32)
+  @Column(name = "uid")
+  private String uid;
+
+  @JdbcTypeCode(SqlTypes.JSON)
+  @Column(name = "geo_jsonb", columnDefinition = "jsonb")
+  private String geoJsonb;
+
+  @Column(name = "file_name")
+  private String fileName;
+
+  @Column(name = "geom", columnDefinition = "geometry")
+  private Geometry geom;
+
   public Basic toDto() {
     return new DatasetObjDto.Basic(
         this.objId,
@@ -95,6 +112,7 @@ public class DatasetObjEntity {
         this.createdDttm,
         this.createdUid,
         this.deleted,
-        this.uuid);
+        this.uuid,
+        this.geoJsonb);
   }
 }

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

@@ -0,0 +1,117 @@
+package com.kamco.cd.training.postgres.entity;
+
+import com.kamco.cd.training.dataset.dto.DatasetObjDto.Basic;
+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 jakarta.validation.constraints.Size;
+import java.time.ZonedDateTime;
+import java.util.UUID;
+import lombok.Getter;
+import lombok.Setter;
+import org.hibernate.annotations.ColumnDefault;
+import org.hibernate.annotations.JdbcTypeCode;
+import org.hibernate.type.SqlTypes;
+import org.locationtech.jts.geom.Geometry;
+
+@Getter
+@Setter
+@Entity
+@Table(name = "tb_dataset_test_obj")
+public class DatasetTestObjEntity {
+
+  @Id
+  @GeneratedValue(strategy = GenerationType.IDENTITY)
+  @Column(name = "obj_id", nullable = false)
+  private Long objId;
+
+  @NotNull
+  @Column(name = "dataset_uid", nullable = false)
+  private Long datasetUid;
+
+  @Column(name = "target_yyyy")
+  private Integer targetYyyy;
+
+  @Size(max = 255)
+  @Column(name = "target_class_cd")
+  private String targetClassCd;
+
+  @Column(name = "compare_yyyy")
+  private Integer compareYyyy;
+
+  @Size(max = 255)
+  @Column(name = "compare_class_cd")
+  private String compareClassCd;
+
+  @Size(max = 255)
+  @Column(name = "target_path")
+  private String targetPath;
+
+  @Size(max = 255)
+  @Column(name = "compare_path")
+  private String comparePath;
+
+  @Size(max = 255)
+  @Column(name = "label_path")
+  private String labelPath;
+
+  @Size(max = 255)
+  @Column(name = "geojson_path")
+  private String geojsonPath;
+
+  @Size(max = 255)
+  @Column(name = "map_sheet_num")
+  private String mapSheetNum;
+
+  @ColumnDefault("now()")
+  @Column(name = "created_dttm")
+  private ZonedDateTime createdDttm;
+
+  @Column(name = "created_uid")
+  private Long createdUid;
+
+  @ColumnDefault("false")
+  @Column(name = "deleted")
+  private Boolean deleted;
+
+  @Column(name = "uuid")
+  private UUID uuid;
+
+  @Size(max = 32)
+  @Column(name = "uid")
+  private String uid;
+
+  @JdbcTypeCode(SqlTypes.JSON)
+  @Column(name = "geo_jsonb", columnDefinition = "jsonb")
+  private String geoJsonb;
+
+  @Column(name = "file_name")
+  private String fileName;
+
+  @Column(name = "geom", columnDefinition = "geometry")
+  private Geometry geom;
+
+  public Basic toDto() {
+    return new Basic(
+        this.objId,
+        this.datasetUid,
+        this.targetYyyy,
+        this.targetClassCd,
+        this.compareYyyy,
+        this.compareClassCd,
+        this.targetPath,
+        this.comparePath,
+        this.labelPath,
+        this.geojsonPath,
+        this.mapSheetNum,
+        this.createdDttm,
+        this.createdUid,
+        this.deleted,
+        this.uuid,
+        this.geoJsonb);
+  }
+}

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

@@ -0,0 +1,117 @@
+package com.kamco.cd.training.postgres.entity;
+
+import com.kamco.cd.training.dataset.dto.DatasetObjDto.Basic;
+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 jakarta.validation.constraints.Size;
+import java.time.ZonedDateTime;
+import java.util.UUID;
+import lombok.Getter;
+import lombok.Setter;
+import org.hibernate.annotations.ColumnDefault;
+import org.hibernate.annotations.JdbcTypeCode;
+import org.hibernate.type.SqlTypes;
+import org.locationtech.jts.geom.Geometry;
+
+@Getter
+@Setter
+@Entity
+@Table(name = "tb_dataset_val_obj")
+public class DatasetValObjEntity {
+
+  @Id
+  @GeneratedValue(strategy = GenerationType.IDENTITY)
+  @Column(name = "obj_id", nullable = false)
+  private Long objId;
+
+  @NotNull
+  @Column(name = "dataset_uid", nullable = false)
+  private Long datasetUid;
+
+  @Column(name = "target_yyyy")
+  private Integer targetYyyy;
+
+  @Size(max = 255)
+  @Column(name = "target_class_cd")
+  private String targetClassCd;
+
+  @Column(name = "compare_yyyy")
+  private Integer compareYyyy;
+
+  @Size(max = 255)
+  @Column(name = "compare_class_cd")
+  private String compareClassCd;
+
+  @Size(max = 255)
+  @Column(name = "target_path")
+  private String targetPath;
+
+  @Size(max = 255)
+  @Column(name = "compare_path")
+  private String comparePath;
+
+  @Size(max = 255)
+  @Column(name = "label_path")
+  private String labelPath;
+
+  @Size(max = 255)
+  @Column(name = "geojson_path")
+  private String geojsonPath;
+
+  @Size(max = 255)
+  @Column(name = "map_sheet_num")
+  private String mapSheetNum;
+
+  @ColumnDefault("now()")
+  @Column(name = "created_dttm")
+  private ZonedDateTime createdDttm;
+
+  @Column(name = "created_uid")
+  private Long createdUid;
+
+  @ColumnDefault("false")
+  @Column(name = "deleted")
+  private Boolean deleted;
+
+  @Column(name = "uuid")
+  private UUID uuid;
+
+  @Size(max = 32)
+  @Column(name = "uid")
+  private String uid;
+
+  @JdbcTypeCode(SqlTypes.JSON)
+  @Column(name = "geo_jsonb", columnDefinition = "jsonb")
+  private String geoJsonb;
+
+  @Column(name = "file_name")
+  private String fileName;
+
+  @Column(name = "geom", columnDefinition = "geometry")
+  private Geometry geom;
+
+  public Basic toDto() {
+    return new Basic(
+        this.objId,
+        this.datasetUid,
+        this.targetYyyy,
+        this.targetClassCd,
+        this.compareYyyy,
+        this.compareClassCd,
+        this.targetPath,
+        this.comparePath,
+        this.labelPath,
+        this.geojsonPath,
+        this.mapSheetNum,
+        this.createdDttm,
+        this.createdUid,
+        this.deleted,
+        this.uuid,
+        this.geoJsonb);
+  }
+}

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

@@ -24,7 +24,7 @@ public class ModelConfigEntity {
   @Id
   @GeneratedValue(strategy = GenerationType.IDENTITY)
   @Column(name = "config_id", nullable = false)
-  private Integer id;
+  private Long id;
 
   @NotNull
   @ManyToOne(fetch = FetchType.LAZY, optional = false)

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

@@ -3,6 +3,8 @@ package com.kamco.cd.training.postgres.entity;
 import jakarta.persistence.Column;
 import jakarta.persistence.Entity;
 import jakarta.persistence.FetchType;
+import jakarta.persistence.GeneratedValue;
+import jakarta.persistence.GenerationType;
 import jakarta.persistence.Id;
 import jakarta.persistence.JoinColumn;
 import jakarta.persistence.ManyToOne;
@@ -20,6 +22,7 @@ import org.hibernate.annotations.ColumnDefault;
 public class ModelDatasetEntity {
 
   @Id
+  @GeneratedValue(strategy = GenerationType.IDENTITY)
   @Column(name = "id", nullable = false)
   private Long id;
 
@@ -28,10 +31,6 @@ public class ModelDatasetEntity {
   @JoinColumn(name = "model_id", nullable = false)
   private ModelMasterEntity model;
 
-  @NotNull
-  @Column(name = "data_id", nullable = false)
-  private Long dataId;
-
   @Column(name = "building_cnt")
   private Long buildingCnt;
 
@@ -46,7 +45,7 @@ public class ModelDatasetEntity {
 
   @ColumnDefault("now()")
   @Column(name = "created_dttm")
-  private ZonedDateTime createdDttm;
+  private ZonedDateTime createdDttm = ZonedDateTime.now();
 
   @Column(name = "created_uid")
   private Long createdUid;

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

@@ -1,5 +1,6 @@
 package com.kamco.cd.training.postgres.entity;
 
+import com.kamco.cd.training.common.enums.ModelType;
 import com.kamco.cd.training.hyperparam.dto.HyperParamDto;
 import jakarta.persistence.*;
 import jakarta.validation.constraints.NotNull;
@@ -311,8 +312,17 @@ public class ModelHyperParamEntity {
   @Column(name = "m3_use_cnt")
   private Long m3UseCnt = 0L;
 
+  @Column(name = "model_type")
+  @Enumerated(EnumType.STRING)
+  private ModelType modelType;
+
+
+  @Column(name = "default_param")
+  private Boolean isDefault = false;
+
   public HyperParamDto.Basic toDto() {
     return new HyperParamDto.Basic(
+        this.modelType,
         this.uuid,
         this.hyperVer,
         this.createdDttm,
@@ -385,6 +395,8 @@ public class ModelHyperParamEntity {
         // -------------------------
         this.gpuCnt,
         this.gpuIds,
-        this.masterPort);
+        this.masterPort
+      , this.isDefault
+    );
   }
 }

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

@@ -1,13 +1,12 @@
 package com.kamco.cd.training.postgres.entity;
 
-import com.kamco.cd.training.model.dto.ModelTrainDto;
+import com.kamco.cd.training.model.dto.ModelTrainMngDto;
 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 jakarta.validation.constraints.Size;
 import java.time.ZonedDateTime;
 import java.util.UUID;
@@ -26,16 +25,15 @@ public class ModelMasterEntity {
   @Column(name = "model_id", nullable = false)
   private Long id;
 
-  @NotNull
-  @Column(name = "hyper_param_id", nullable = false)
+  @Column(name = "hyper_param_id")
   private Long hyperParamId;
 
   @Size(max = 10)
   @Column(name = "model_no", length = 10)
   private String modelNo;
 
-  @Size(max = 50)
-  @Column(name = "model_ver", length = 50)
+  @Size(max = 200)
+  @Column(name = "model_ver", length = 200)
   private String modelVer;
 
   @Column(name = "model_step")
@@ -69,7 +67,7 @@ public class ModelMasterEntity {
   private String step2State;
 
   @Column(name = "del_yn")
-  private Boolean delYn;
+  private Boolean delYn = false;
 
   @ColumnDefault("now()")
   @Column(name = "created_dttm")
@@ -90,8 +88,32 @@ public class ModelMasterEntity {
   @Column(name = "train_type")
   private String trainType;
 
-  public ModelTrainDto.Basic toDto() {
-    return new ModelTrainDto.Basic(
+  @Column(name = "before_model_id")
+  private Long beforeModelId;
+
+  @Column(name = "step1_metric_save_yn")
+  private Boolean step1MetricSaveYn;
+
+  @Column(name = "step2_metric_save_yn")
+  private Boolean step2MetricSaveYn;
+
+  @Column(name = "current_attempt_id")
+  private Long currentAttemptId;
+
+  @Column(name = "last_error")
+  private String lastError;
+
+  @Column(name = "best_epoch")
+  private Integer bestEpoch;
+
+  @Column(name = "request_path")
+  private String requestPath;
+
+  @Column(name = "response_path")
+  private String responsePath;
+
+  public ModelTrainMngDto.Basic toDto() {
+    return new ModelTrainMngDto.Basic(
         this.id,
         this.uuid,
         this.modelVer,
@@ -103,6 +125,8 @@ public class ModelMasterEntity {
         this.step1State,
         this.step2State,
         this.statusCd,
-        this.trainType);
+        this.trainType,
+        this.modelNo,
+        this.currentAttemptId);
   }
 }

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

@@ -19,8 +19,8 @@ import org.hibernate.annotations.ColumnDefault;
 @Getter
 @Setter
 @Entity
-@Table(name = "tb_model_matrics_test")
-public class ModelMatricsTestEntity {
+@Table(name = "tb_model_metrics_test")
+public class ModelMetricsTestEntity {
 
   @Id
   @GeneratedValue(strategy = GenerationType.IDENTITY)
@@ -45,9 +45,6 @@ public class ModelMatricsTestEntity {
   @Column(name = "fn")
   private Long fn;
 
-  @Column(name = "tn")
-  private Long tn;
-
   @Column(name = "precisions")
   private Float precisions;
 
@@ -63,8 +60,11 @@ public class ModelMatricsTestEntity {
   @Column(name = "iou")
   private Float iou;
 
-  @Column(name = "processed_images")
-  private Long processedImages;
+  @Column(name = "detection_count")
+  private Long detectionCount;
+
+  @Column(name = "gt_count")
+  private Long gtCount;
 
   @ColumnDefault("now()")
   @Column(name = "created_dttm")

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

@@ -18,8 +18,8 @@ import org.hibernate.annotations.ColumnDefault;
 @Getter
 @Setter
 @Entity
-@Table(name = "tb_model_matrics_train")
-public class ModelMatricsTrainEntity {
+@Table(name = "tb_model_metrics_train")
+public class ModelMetricsTrainEntity {
 
   @Id
   @GeneratedValue(strategy = GenerationType.IDENTITY)

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

@@ -18,8 +18,8 @@ import org.hibernate.annotations.ColumnDefault;
 @Getter
 @Setter
 @Entity
-@Table(name = "tb_model_matrics_validation")
-public class ModelMatricsValidationEntity {
+@Table(name = "tb_model_metrics_validation")
+public class ModelMetricsValidationEntity {
 
   @Id
   @GeneratedValue(strategy = GenerationType.IDENTITY)

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

@@ -0,0 +1,103 @@
+package com.kamco.cd.training.postgres.entity;
+
+import com.kamco.cd.training.train.dto.ModelTrainJobDto;
+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 jakarta.validation.constraints.Size;
+import java.time.ZonedDateTime;
+import java.util.Map;
+import lombok.Getter;
+import lombok.Setter;
+import org.hibernate.annotations.ColumnDefault;
+import org.hibernate.annotations.JdbcTypeCode;
+import org.hibernate.type.SqlTypes;
+
+@Getter
+@Setter
+@Entity
+@Table(name = "tb_model_train_job")
+public class ModelTrainJobEntity {
+
+  @Id
+  @GeneratedValue(strategy = GenerationType.IDENTITY)
+  @Column(name = "id", nullable = false)
+  private Long id;
+
+  @NotNull
+  @Column(name = "model_id", nullable = false)
+  private Long modelId;
+
+  @NotNull
+  @Column(name = "attempt_no", nullable = false)
+  private Integer attemptNo;
+
+  @Size(max = 30)
+  @NotNull
+  @Column(name = "status_cd", nullable = false, length = 30)
+  private String statusCd;
+
+  @NotNull
+  @Column(name = "params_json", nullable = false)
+  @JdbcTypeCode(SqlTypes.JSON)
+  private Map<String, Object> paramsJson;
+
+  @Size(max = 200)
+  @Column(name = "container_name", length = 200)
+  private String containerName;
+
+  @Size(max = 500)
+  @Column(name = "log_path", length = 500)
+  private String logPath;
+
+  @Column(name = "exit_code")
+  private Integer exitCode;
+
+  @Size(max = 2000)
+  @Column(name = "error_message", length = 2000)
+  private String errorMessage;
+
+  @ColumnDefault("now()")
+  @Column(name = "queued_dttm")
+  private ZonedDateTime queuedDttm;
+
+  @Column(name = "started_dttm")
+  private ZonedDateTime startedDttm;
+
+  @Column(name = "finished_dttm")
+  private ZonedDateTime finishedDttm;
+
+  @Column(name = "locked_dttm")
+  private ZonedDateTime lockedDttm;
+
+  @Size(max = 100)
+  @Column(name = "locked_by", length = 100)
+  private String lockedBy;
+
+  @Column(name = "total_epoch")
+  private Integer totalEpoch;
+
+  @Column(name = "current_epoch")
+  private Integer currentEpoch;
+
+  public ModelTrainJobDto toDto() {
+    return new ModelTrainJobDto(
+        this.id,
+        this.modelId,
+        this.attemptNo,
+        this.statusCd,
+        this.exitCode,
+        this.errorMessage,
+        this.containerName,
+        this.paramsJson,
+        this.queuedDttm,
+        this.startedDttm,
+        this.finishedDttm,
+        this.totalEpoch,
+        this.currentEpoch);
+  }
+}

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

@@ -1,7 +1,10 @@
 package com.kamco.cd.training.postgres.repository.dataset;
 
+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.SearchReq;
 import com.kamco.cd.training.postgres.entity.DatasetObjEntity;
+import java.util.List;
 import java.util.Optional;
 import java.util.UUID;
 import org.springframework.data.domain.Page;
@@ -11,4 +14,14 @@ public interface DatasetObjRepositoryCustom {
   Optional<DatasetObjEntity> findByUuid(UUID id);
 
   Page<DatasetObjEntity> searchDatasetObjectList(SearchReq searchReq);
+
+  List<DatasetClass> findDatasetObjClassByUuid(UUID uuid, String type);
+
+  void insertDatasetObj(DatasetObjRegDto objRegDto);
+
+  String getFilePathByUUIDPathType(UUID uuid, String pathType);
+
+  void insertDatasetTestObj(DatasetObjRegDto objRegDto);
+
+  void insertDatasetValObj(DatasetObjRegDto objRegDto);
 }

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

@@ -3,24 +3,37 @@ package com.kamco.cd.training.postgres.repository.dataset;
 import static com.kamco.cd.training.postgres.entity.QDatasetEntity.datasetEntity;
 import static com.kamco.cd.training.postgres.entity.QDatasetObjEntity.datasetObjEntity;
 
+import com.fasterxml.jackson.core.JsonProcessingException;
+import com.fasterxml.jackson.databind.ObjectMapper;
+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.SearchReq;
 import com.kamco.cd.training.postgres.entity.DatasetEntity;
 import com.kamco.cd.training.postgres.entity.DatasetObjEntity;
 import com.kamco.cd.training.postgres.entity.QDatasetEntity;
 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.core.types.dsl.StringPath;
 import com.querydsl.jpa.impl.JPAQueryFactory;
+import jakarta.persistence.EntityManager;
 import jakarta.persistence.EntityNotFoundException;
+import jakarta.persistence.PersistenceContext;
 import java.util.List;
 import java.util.Objects;
 import java.util.Optional;
 import java.util.UUID;
 import lombok.RequiredArgsConstructor;
+import lombok.extern.slf4j.Slf4j;
 import org.apache.commons.lang3.StringUtils;
+import org.locationtech.jts.geom.Geometry;
 import org.springframework.data.domain.Page;
 import org.springframework.data.domain.PageImpl;
 import org.springframework.data.domain.Pageable;
 import org.springframework.stereotype.Repository;
 
+@Slf4j
 @Repository
 @RequiredArgsConstructor
 public class DatasetObjRepositoryImpl implements DatasetObjRepositoryCustom {
@@ -28,6 +41,8 @@ public class DatasetObjRepositoryImpl implements DatasetObjRepositoryCustom {
   private final JPAQueryFactory queryFactory;
   private final QDatasetEntity dataset = datasetEntity;
 
+  @PersistenceContext EntityManager em;
+
   @Override
   public Optional<DatasetObjEntity> findByUuid(UUID id) {
     return Optional.ofNullable(
@@ -38,17 +53,98 @@ public class DatasetObjRepositoryImpl implements DatasetObjRepositoryCustom {
             .fetchOne());
   }
 
+  @Override
+  public void insertDatasetTestObj(DatasetObjRegDto objRegDto) {
+    ObjectMapper objectMapper = new ObjectMapper();
+    String json;
+    Geometry geometry;
+    String geometryJson;
+    try {
+      json = objectMapper.writeValueAsString(objRegDto.getGeojson());
+      geometryJson =
+          objectMapper.writeValueAsString(
+              objRegDto.getGeojson().path("features").get(0).path("geometry"));
+    } catch (JsonProcessingException e) {
+      throw new RuntimeException(e);
+    }
+
+    try {
+      em.createNativeQuery(
+              """
+            insert into tb_dataset_test_obj
+          (dataset_uid, target_yyyy, target_class_cd,
+           compare_yyyy, compare_class_cd,
+           target_path, compare_path, label_path, geo_jsonb, map_sheet_num, file_name, geom, geojson_path)
+          values
+          (?, ?, ?, ?, ?, ?, ?, ?, cast(? as jsonb), ?, ?, ST_SetSRID(ST_GeomFromGeoJSON(?), 5186), ?)
+          """)
+          .setParameter(1, objRegDto.getDatasetUid())
+          .setParameter(2, objRegDto.getTargetYyyy())
+          .setParameter(3, objRegDto.getTargetClassCd())
+          .setParameter(4, objRegDto.getCompareYyyy())
+          .setParameter(5, objRegDto.getCompareClassCd())
+          .setParameter(6, objRegDto.getTargetPath())
+          .setParameter(7, objRegDto.getComparePath())
+          .setParameter(8, objRegDto.getLabelPath())
+          .setParameter(9, json)
+          .setParameter(10, objRegDto.getMapSheetNum())
+          .setParameter(11, objRegDto.getFileName())
+          .setParameter(12, geometryJson)
+          .setParameter(13, objRegDto.getGeojsonPath())
+          .executeUpdate();
+    } catch (Exception e) {
+      throw new RuntimeException(e);
+    }
+  }
+
+  @Override
+  public void insertDatasetValObj(DatasetObjRegDto objRegDto) {
+    ObjectMapper objectMapper = new ObjectMapper();
+    String json;
+    String geometryJson;
+    try {
+      json = objectMapper.writeValueAsString(objRegDto.getGeojson());
+      geometryJson =
+          objectMapper.writeValueAsString(
+              objRegDto.getGeojson().path("features").get(0).path("geometry"));
+    } catch (JsonProcessingException e) {
+      throw new RuntimeException(e);
+    }
+
+    try {
+      em.createNativeQuery(
+              """
+        insert into tb_dataset_val_obj
+      (dataset_uid, target_yyyy, target_class_cd,
+       compare_yyyy, compare_class_cd,
+       target_path, compare_path, label_path, geo_jsonb, map_sheet_num, file_name, geom, geojson_path)
+      values
+      (?, ?, ?, ?, ?, ?, ?, ?, cast(? as jsonb), ?, ?, ST_SetSRID(ST_GeomFromGeoJSON(?), 5186), ?)
+      """)
+          .setParameter(1, objRegDto.getDatasetUid())
+          .setParameter(2, objRegDto.getTargetYyyy())
+          .setParameter(3, objRegDto.getTargetClassCd())
+          .setParameter(4, objRegDto.getCompareYyyy())
+          .setParameter(5, objRegDto.getCompareClassCd())
+          .setParameter(6, objRegDto.getTargetPath())
+          .setParameter(7, objRegDto.getComparePath())
+          .setParameter(8, objRegDto.getLabelPath())
+          .setParameter(9, json)
+          .setParameter(10, objRegDto.getMapSheetNum())
+          .setParameter(11, objRegDto.getFileName())
+          .setParameter(12, geometryJson)
+          .setParameter(13, objRegDto.getGeojsonPath())
+          .executeUpdate();
+    } catch (Exception e) {
+      throw new RuntimeException(e);
+    }
+  }
+
   @Override
   public Page<DatasetObjEntity> searchDatasetObjectList(SearchReq searchReq) {
     Pageable pageable = searchReq.toPageable();
     BooleanBuilder builder = new BooleanBuilder();
 
-    if (searchReq.getCompareYyyy() != null) {
-      builder.and(datasetObjEntity.compareYyyy.eq(searchReq.getCompareYyyy()));
-    }
-    if (searchReq.getTargetYyyy() != null) {
-      builder.and(datasetObjEntity.targetYyyy.eq(searchReq.getTargetYyyy()));
-    }
     if (StringUtils.isNotBlank(searchReq.getCompareClassCd())) {
       builder.and(datasetObjEntity.compareClassCd.eq(searchReq.getCompareClassCd()));
     }
@@ -88,10 +184,96 @@ public class DatasetObjRepositoryImpl implements DatasetObjRepositoryCustom {
                 queryFactory
                     .select(datasetObjEntity.count())
                     .from(datasetObjEntity)
-                    .where(datasetObjEntity.deleted.isFalse().and(builder))
+                    .where(
+                        datasetObjEntity
+                            .deleted
+                            .isFalse()
+                            .and(datasetObjEntity.datasetUid.eq(entity.getId()))
+                            .and(builder))
                     .fetchOne())
             .orElse(0L);
 
     return new PageImpl<>(content, pageable, total);
   }
+
+  @Override
+  public List<DatasetClass> findDatasetObjClassByUuid(UUID uuid, String type) {
+
+    StringPath classCd =
+        type.equals("compare") ? datasetObjEntity.compareClassCd : datasetObjEntity.targetClassCd;
+
+    BooleanBuilder builder = new BooleanBuilder();
+    builder.and(datasetEntity.uuid.eq(uuid));
+    builder.and(datasetEntity.deleted.isFalse());
+    builder.and(datasetObjEntity.deleted.isFalse());
+
+    return queryFactory
+        .select(Projections.constructor(DatasetClass.class, classCd))
+        .from(datasetEntity)
+        .join(datasetObjEntity)
+        .on(datasetEntity.id.eq(datasetObjEntity.datasetUid))
+        .where(builder)
+        .groupBy(classCd)
+        .fetch();
+  }
+
+  @Override
+  public void insertDatasetObj(DatasetObjRegDto objRegDto) {
+    ObjectMapper objectMapper = new ObjectMapper();
+    String json;
+    String geometryJson;
+    try {
+      json = objectMapper.writeValueAsString(objRegDto.getGeojson());
+      geometryJson =
+          objectMapper.writeValueAsString(
+              objRegDto.getGeojson().path("features").get(0).path("geometry"));
+    } catch (JsonProcessingException e) {
+      throw new RuntimeException(e);
+    }
+
+    try {
+      em.createNativeQuery(
+              """
+            insert into tb_dataset_obj
+          (dataset_uid, target_yyyy, target_class_cd,
+           compare_yyyy, compare_class_cd,
+           target_path, compare_path, label_path, geo_jsonb, map_sheet_num, file_name, geom, geojson_path)
+          values
+          (?, ?, ?, ?, ?, ?, ?, ?, cast(? as jsonb), ?, ?, ST_SetSRID(ST_GeomFromGeoJSON(?), 5186), ?)
+          """)
+          .setParameter(1, objRegDto.getDatasetUid())
+          .setParameter(2, objRegDto.getTargetYyyy())
+          .setParameter(3, objRegDto.getTargetClassCd())
+          .setParameter(4, objRegDto.getCompareYyyy())
+          .setParameter(5, objRegDto.getCompareClassCd())
+          .setParameter(6, objRegDto.getTargetPath())
+          .setParameter(7, objRegDto.getComparePath())
+          .setParameter(8, objRegDto.getLabelPath())
+          .setParameter(9, json)
+          .setParameter(10, objRegDto.getMapSheetNum())
+          .setParameter(11, objRegDto.getFileName())
+          .setParameter(12, geometryJson)
+          .setParameter(13, objRegDto.getGeojsonPath())
+          .executeUpdate();
+    } catch (Exception e) {
+      throw new RuntimeException(e);
+    }
+  }
+
+  @Override
+  public String getFilePathByUUIDPathType(UUID uuid, String pathType) {
+    Expression<String> pathExpr =
+        switch (pathType) {
+          case "compare" -> datasetObjEntity.comparePath;
+          case "target" -> datasetObjEntity.targetPath;
+          case "label" -> datasetObjEntity.labelPath;
+          default -> Expressions.constant("");
+        };
+
+    return queryFactory
+        .select(pathExpr)
+        .from(datasetObjEntity)
+        .where(datasetObjEntity.uuid.eq(uuid))
+        .fetchOne();
+  }
 }

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

@@ -1,6 +1,8 @@
 package com.kamco.cd.training.postgres.repository.dataset;
 
 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.postgres.entity.DatasetEntity;
 import java.util.List;
@@ -13,7 +15,13 @@ public interface DatasetRepositoryCustom {
 
   Optional<DatasetEntity> findByUuid(UUID id);
 
-  List<SelectDataSet> getDatasetSelectM1List(String modelType, String selectType);
+  List<SelectDataSet> getDatasetSelectG1List(DatasetReq req);
 
-  List<SelectDataSet> getDatasetSelectM2M3List(String modelType, String selectType);
+  List<SelectDataSet> getDatasetSelectG2G3List(DatasetReq req);
+
+  Long getDatasetMaxStage(int compareYyyy, int targetYyyy);
+
+  Long insertDatasetMngData(DatasetMngRegDto mngRegDto);
+
+  List<String> findDatasetUid(List<Long> datasetIds);
 }

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

@@ -2,13 +2,17 @@ package com.kamco.cd.training.postgres.repository.dataset;
 
 import static com.kamco.cd.training.postgres.entity.QDatasetObjEntity.datasetObjEntity;
 
-import com.kamco.cd.training.dataset.dto.DatasetDto;
+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.postgres.entity.DatasetEntity;
 import com.kamco.cd.training.postgres.entity.QDatasetEntity;
 import com.querydsl.core.BooleanBuilder;
 import com.querydsl.core.types.Projections;
 import com.querydsl.core.types.dsl.CaseBuilder;
+import com.querydsl.core.types.dsl.Expressions;
 import com.querydsl.core.types.dsl.NumberExpression;
 import com.querydsl.jpa.impl.JPAQueryFactory;
 import java.util.List;
@@ -35,7 +39,7 @@ public class DatasetRepositoryImpl implements DatasetRepositoryCustom {
    * @return 페이징 처리된 데이터셋 Entity 목록
    */
   @Override
-  public Page<DatasetEntity> findDatasetList(DatasetDto.SearchReq searchReq) {
+  public Page<DatasetEntity> findDatasetList(SearchReq searchReq) {
     Pageable pageable = searchReq.toPageable();
     BooleanBuilder builder = new BooleanBuilder();
 
@@ -80,18 +84,27 @@ public class DatasetRepositoryImpl implements DatasetRepositoryCustom {
   }
 
   @Override
-  public List<SelectDataSet> getDatasetSelectM1List(String modelType, String selectType) {
+  public List<SelectDataSet> getDatasetSelectG1List(DatasetReq req) {
 
     BooleanBuilder builder = new BooleanBuilder();
 
-    if (StringUtils.isNotBlank(selectType) && !"CURRENT".equals(selectType)) {
-      builder.and(dataset.dataType.eq(selectType));
+    if (StringUtils.isNotBlank(req.getDataType()) && !"CURRENT".equals(req.getDataType())) {
+      builder.and(dataset.dataType.eq(req.getDataType()));
+    }
+
+    if (StringUtils.isNotBlank(req.getDataType()) && !"CURRENT".equals(req.getDataType())) {
+      builder.and(dataset.dataType.eq(req.getDataType()));
+    }
+
+    if (req.getIds() != null) {
+      builder.and(dataset.id.in(req.getIds()));
     }
 
     return queryFactory
         .select(
             Projections.constructor(
                 SelectDataSet.class,
+                Expressions.constant(req.getModelNo()),
                 dataset.id,
                 dataset.uuid,
                 dataset.dataType,
@@ -126,11 +139,11 @@ public class DatasetRepositoryImpl implements DatasetRepositoryCustom {
   }
 
   @Override
-  public List<SelectDataSet> getDatasetSelectM2M3List(String modelType, String selectType) {
+  public List<SelectDataSet> getDatasetSelectG2G3List(DatasetReq req) {
 
     BooleanBuilder builder = new BooleanBuilder();
 
-    NumberExpression<Long> selectedCnt;
+    NumberExpression<Long> selectedCnt = null;
     NumberExpression<Long> wasteCnt =
         datasetObjEntity.targetClassCd.when("waste").then(1L).otherwise(0L).sum();
 
@@ -141,20 +154,29 @@ public class DatasetRepositoryImpl implements DatasetRepositoryCustom {
             .otherwise(0L)
             .sum();
 
-    if (modelType.equals("M2")) {
-      selectedCnt = wasteCnt;
-    } else {
-      selectedCnt = elseCnt;
+    if (StringUtils.isNotBlank(req.getModelNo())) {
+      if (req.getModelNo().equals(ModelType.G2.getId())) {
+        selectedCnt = wasteCnt;
+      } else {
+        selectedCnt = elseCnt;
+      }
     }
 
-    if (StringUtils.isNotBlank(selectType) && !"CURRENT".equals(selectType)) {
-      builder.and(dataset.dataType.eq(selectType));
+    if (StringUtils.isNotBlank(req.getDataType())) {
+      if (!"CURRENT".equals(req.getDataType())) {
+        builder.and(dataset.dataType.eq(req.getDataType()));
+      }
+    }
+
+    if (req.getIds() != null) {
+      builder.and(dataset.id.in(req.getIds()));
     }
 
     return queryFactory
         .select(
             Projections.constructor(
                 SelectDataSet.class,
+                Expressions.constant(req.getModelNo()),
                 dataset.id,
                 dataset.uuid,
                 dataset.dataType,
@@ -178,4 +200,51 @@ public class DatasetRepositoryImpl implements DatasetRepositoryCustom {
         .orderBy(dataset.createdDttm.desc())
         .fetch();
   }
+
+  @Override
+  public Long getDatasetMaxStage(int compareYyyy, int targetYyyy) {
+    return queryFactory
+        .select(dataset.roundNo.max().coalesce(0L))
+        .from(dataset)
+        .where(dataset.compareYyyy.eq(compareYyyy), dataset.targetYyyy.eq(targetYyyy))
+        .fetchOne();
+  }
+
+  @Override
+  public Long insertDatasetMngData(DatasetMngRegDto mngRegDto) {
+    queryFactory
+        .insert(dataset)
+        .columns(
+            dataset.uid,
+            dataset.dataType,
+            dataset.compareYyyy,
+            dataset.targetYyyy,
+            dataset.roundNo,
+            dataset.totalSize,
+            dataset.title,
+            dataset.memo,
+            dataset.datasetPath)
+        .values(
+            mngRegDto.getUid(),
+            mngRegDto.getDataType(),
+            mngRegDto.getCompareYyyy(),
+            mngRegDto.getTargetYyyy(),
+            mngRegDto.getRoundNo(),
+            mngRegDto.getTotalSize(),
+            mngRegDto.getTitle(),
+            mngRegDto.getMemo(),
+            mngRegDto.getDatasetPath())
+        .execute();
+
+    return queryFactory
+        .select(dataset.id)
+        .from(dataset)
+        .where(dataset.uid.eq(mngRegDto.getUid()))
+        .fetchOne();
+  }
+
+  @Override
+  public List<String> findDatasetUid(List<Long> datasetIds) {
+    return queryFactory.select(dataset.uid).from(dataset).where(dataset.id.in(datasetIds)).fetch();
+  }
 }

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

@@ -1,9 +1,12 @@
 package com.kamco.cd.training.postgres.repository.hyperparam;
 
 import com.kamco.cd.training.postgres.entity.ModelHyperParamEntity;
+import java.util.Optional;
 import org.springframework.data.jpa.repository.JpaRepository;
 import org.springframework.stereotype.Repository;
 
 @Repository
 public interface HyperParamRepository
-    extends JpaRepository<ModelHyperParamEntity, Long>, HyperParamRepositoryCustom {}
+    extends JpaRepository<ModelHyperParamEntity, Long>, HyperParamRepositoryCustom {
+  Optional<ModelHyperParamEntity> findByHyperVer(String hyperVer);
+}

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

@@ -1,6 +1,8 @@
 package com.kamco.cd.training.postgres.repository.hyperparam;
 
+import com.kamco.cd.training.common.enums.ModelType;
 import com.kamco.cd.training.hyperparam.dto.HyperParamDto;
+import com.kamco.cd.training.hyperparam.dto.HyperParamDto.SearchReq;
 import com.kamco.cd.training.postgres.entity.ModelHyperParamEntity;
 import java.util.Optional;
 import java.util.UUID;
@@ -13,9 +15,22 @@ public interface HyperParamRepositoryCustom {
    *
    * @return
    */
+  @Deprecated
   Optional<ModelHyperParamEntity> findHyperParamVer();
 
+  /**
+   * 모델 타입별 마지막 버전 조회
+   *
+   * @param modelType 모델 타입
+   * @return
+   */
+  Optional<ModelHyperParamEntity> findHyperParamVerByModelType(ModelType modelType);
+
+  Optional<ModelHyperParamEntity> findHyperParamByHyperVer(String hyperVer);
+
   Optional<ModelHyperParamEntity> findHyperParamByUuid(UUID uuid);
 
-  Page<HyperParamDto.List> findByHyperVerList(HyperParamDto.SearchReq req);
+  Page<HyperParamDto.List> findByHyperVerList(ModelType model, SearchReq req);
+
+  Optional<ModelHyperParamEntity> getHyperparamByType(ModelType modelType);
 }

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

@@ -2,8 +2,10 @@ package com.kamco.cd.training.postgres.repository.hyperparam;
 
 import static com.kamco.cd.training.postgres.entity.QModelHyperParamEntity.modelHyperParamEntity;
 
+import com.kamco.cd.training.common.enums.ModelType;
 import com.kamco.cd.training.hyperparam.dto.HyperParamDto;
 import com.kamco.cd.training.hyperparam.dto.HyperParamDto.HyperType;
+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;
@@ -41,6 +43,39 @@ public class HyperParamRepositoryImpl implements HyperParamRepositoryCustom {
             .fetchOne());
   }
 
+  @Override
+  public Optional<ModelHyperParamEntity> findHyperParamVerByModelType(ModelType modelType) {
+
+    return Optional.ofNullable(
+        queryFactory
+            .select(modelHyperParamEntity)
+            .from(modelHyperParamEntity)
+            .where(
+                modelHyperParamEntity
+                    .delYn
+                    .isFalse()
+                    .and(modelHyperParamEntity.modelType.eq(modelType)))
+            .orderBy(modelHyperParamEntity.hyperVer.desc())
+            .limit(1)
+            .fetchOne());
+  }
+
+  @Override
+  public Optional<ModelHyperParamEntity> findHyperParamByHyperVer(String hyperVer) {
+
+    return Optional.ofNullable(
+        queryFactory
+            .select(modelHyperParamEntity)
+            .from(modelHyperParamEntity)
+            .where(
+                modelHyperParamEntity
+                    .delYn
+                    .isFalse()
+                    .and(modelHyperParamEntity.hyperVer.eq(hyperVer)))
+            .limit(1)
+            .fetchOne());
+  }
+
   @Override
   public Optional<ModelHyperParamEntity> findHyperParamByUuid(UUID uuid) {
     return Optional.ofNullable(
@@ -52,10 +87,11 @@ public class HyperParamRepositoryImpl implements HyperParamRepositoryCustom {
   }
 
   @Override
-  public Page<HyperParamDto.List> findByHyperVerList(HyperParamDto.SearchReq req) {
+  public Page<HyperParamDto.List> findByHyperVerList(ModelType model, SearchReq req) {
     Pageable pageable = req.toPageable();
 
     BooleanBuilder builder = new BooleanBuilder();
+    builder.and(modelHyperParamEntity.modelType.eq(model));
     builder.and(modelHyperParamEntity.delYn.isFalse());
 
     if (req.getHyperVer() != null && !req.getHyperVer().isEmpty()) {
@@ -145,4 +181,14 @@ public class HyperParamRepositoryImpl implements HyperParamRepositoryCustom {
 
     return new PageImpl<>(content, pageable, totalCount);
   }
+
+  @Override
+  public Optional<ModelHyperParamEntity> getHyperparamByType(ModelType modelType) {
+    return Optional.ofNullable(
+      queryFactory
+        .select(modelHyperParamEntity)
+        .from(modelHyperParamEntity)
+        .where(modelHyperParamEntity.delYn.isFalse().and(modelHyperParamEntity.modelType.eq(modelType)))
+        .fetchOne());
+  }
 }

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

@@ -0,0 +1,7 @@
+package com.kamco.cd.training.postgres.repository.model;
+
+import com.kamco.cd.training.postgres.entity.ModelConfigEntity;
+import org.springframework.data.jpa.repository.JpaRepository;
+
+public interface ModelConfigRepository
+    extends JpaRepository<ModelConfigEntity, Long>, ModelConfigRepositoryCustom {}

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

@@ -0,0 +1,8 @@
+package com.kamco.cd.training.postgres.repository.model;
+
+import com.kamco.cd.training.model.dto.ModelConfigDto;
+import java.util.Optional;
+
+public interface ModelConfigRepositoryCustom {
+  Optional<ModelConfigDto.Basic> findModelConfigByModelId(Long modelId);
+}

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

@@ -0,0 +1,37 @@
+package com.kamco.cd.training.postgres.repository.model;
+
+import static com.kamco.cd.training.postgres.entity.QModelConfigEntity.modelConfigEntity;
+
+import com.kamco.cd.training.model.dto.ModelConfigDto.Basic;
+import com.querydsl.core.types.Projections;
+import com.querydsl.jpa.impl.JPAQueryFactory;
+import java.util.Optional;
+import lombok.RequiredArgsConstructor;
+import org.springframework.stereotype.Repository;
+
+@Repository
+@RequiredArgsConstructor
+public class ModelConfigRepositoryImpl implements ModelConfigRepositoryCustom {
+
+  private final JPAQueryFactory queryFactory;
+
+  @Override
+  public Optional<Basic> findModelConfigByModelId(Long modelId) {
+
+    return Optional.ofNullable(
+        queryFactory
+            .select(
+                Projections.constructor(
+                    Basic.class,
+                    modelConfigEntity.id,
+                    modelConfigEntity.model.id,
+                    modelConfigEntity.epochCount,
+                    modelConfigEntity.trainPercent,
+                    modelConfigEntity.validationPercent,
+                    modelConfigEntity.testPercent,
+                    modelConfigEntity.memo))
+            .from(modelConfigEntity)
+            .where(modelConfigEntity.model.id.eq(modelId))
+            .fetchOne());
+  }
+}

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

@@ -6,4 +6,5 @@ import org.springframework.stereotype.Repository;
 
 @Repository
 public interface ModelDatasetMappRepository
-    extends JpaRepository<ModelDatasetMappEntity, ModelDatasetMappEntity.ModelDatasetMappId> {}
+    extends JpaRepository<ModelDatasetMappEntity, ModelDatasetMappEntity.ModelDatasetMappId>,
+        ModelDatasetMappRepositoryCustom {}

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

@@ -0,0 +1,8 @@
+package com.kamco.cd.training.postgres.repository.model;
+
+import com.kamco.cd.training.postgres.entity.ModelDatasetMappEntity;
+import java.util.List;
+
+public interface ModelDatasetMappRepositoryCustom {
+  List<ModelDatasetMappEntity> findByModelUid(Long modelId);
+}

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

@@ -0,0 +1,25 @@
+package com.kamco.cd.training.postgres.repository.model;
+
+import static com.kamco.cd.training.postgres.entity.QModelDatasetMappEntity.modelDatasetMappEntity;
+
+import com.kamco.cd.training.postgres.entity.ModelDatasetMappEntity;
+import com.querydsl.jpa.impl.JPAQueryFactory;
+import java.util.List;
+import lombok.RequiredArgsConstructor;
+import org.springframework.stereotype.Repository;
+
+@Repository
+@RequiredArgsConstructor
+public class ModelDatasetMappRepositoryImpl implements ModelDatasetMappRepositoryCustom {
+
+  private final JPAQueryFactory queryFactory;
+
+  @Override
+  public List<ModelDatasetMappEntity> findByModelUid(Long modelId) {
+    queryFactory
+        .select(modelDatasetMappEntity)
+        .from(modelDatasetMappEntity)
+        .where(modelDatasetMappEntity.modelUid.eq(modelId));
+    return List.of();
+  }
+}

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

@@ -0,0 +1,7 @@
+package com.kamco.cd.training.postgres.repository.model;
+
+import com.kamco.cd.training.postgres.entity.ModelDatasetEntity;
+import org.springframework.data.jpa.repository.JpaRepository;
+
+public interface ModelDatasetRepository
+    extends JpaRepository<ModelDatasetEntity, Long>, ModelDatasetRepositoryCustom {}

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

@@ -0,0 +1,3 @@
+package com.kamco.cd.training.postgres.repository.model;
+
+public interface ModelDatasetRepositoryCustom {}

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

@@ -0,0 +1,7 @@
+package com.kamco.cd.training.postgres.repository.model;
+
+import com.kamco.cd.training.postgres.entity.ModelMasterEntity;
+import org.springframework.data.jpa.repository.JpaRepository;
+
+public interface ModelDetailRepository
+    extends JpaRepository<ModelMasterEntity, Long>, ModelDetailRepositoryCustom {}

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

@@ -0,0 +1,37 @@
+package com.kamco.cd.training.postgres.repository.model;
+
+import com.kamco.cd.training.model.dto.ModelTrainDetailDto.DetailSummary;
+import com.kamco.cd.training.model.dto.ModelTrainDetailDto.HyperSummary;
+import com.kamco.cd.training.model.dto.ModelTrainDetailDto.MappingDataset;
+import com.kamco.cd.training.model.dto.ModelTrainDetailDto.ModelBestEpoch;
+import com.kamco.cd.training.model.dto.ModelTrainDetailDto.ModelTestMetrics;
+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.TransferHyperSummary;
+import com.kamco.cd.training.postgres.entity.ModelMasterEntity;
+import java.util.List;
+import java.util.Optional;
+import java.util.UUID;
+
+public interface ModelDetailRepositoryCustom {
+
+  Optional<ModelMasterEntity> findByUuid(UUID uuid);
+
+  DetailSummary getModelDetailSummary(UUID uuid);
+
+  HyperSummary getByModelHyperParamSummary(UUID uuid);
+
+  TransferHyperSummary getByModelTransferHyperParamSummary(UUID uuid);
+
+  List<MappingDataset> getByModelMappingDataset(UUID uuid);
+
+  ModelMasterEntity findByModelByUUID(UUID uuid);
+
+  List<ModelTrainMetrics> getModelTrainMetricResult(UUID uuid);
+
+  List<ModelValidationMetrics> getModelValidationMetricResult(UUID uuid);
+
+  List<ModelTestMetrics> getModelTestMetricResult(UUID uuid);
+
+  ModelBestEpoch getModelTrainBestEpoch(UUID uuid);
+}

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

@@ -0,0 +1,272 @@
+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.QModelDatasetEntity.modelDatasetEntity;
+import static com.kamco.cd.training.postgres.entity.QModelDatasetMappEntity.modelDatasetMappEntity;
+import static com.kamco.cd.training.postgres.entity.QModelHyperParamEntity.modelHyperParamEntity;
+import static com.kamco.cd.training.postgres.entity.QModelMasterEntity.modelMasterEntity;
+import static com.kamco.cd.training.postgres.entity.QModelMetricsTestEntity.modelMetricsTestEntity;
+import static com.kamco.cd.training.postgres.entity.QModelMetricsTrainEntity.modelMetricsTrainEntity;
+import static com.kamco.cd.training.postgres.entity.QModelMetricsValidationEntity.modelMetricsValidationEntity;
+
+import com.kamco.cd.training.model.dto.ModelTrainDetailDto.DetailSummary;
+import com.kamco.cd.training.model.dto.ModelTrainDetailDto.HyperSummary;
+import com.kamco.cd.training.model.dto.ModelTrainDetailDto.MappingDataset;
+import com.kamco.cd.training.model.dto.ModelTrainDetailDto.ModelBestEpoch;
+import com.kamco.cd.training.model.dto.ModelTrainDetailDto.ModelTestMetrics;
+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.TransferHyperSummary;
+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.Projections;
+import com.querydsl.jpa.JPAExpressions;
+import com.querydsl.jpa.impl.JPAQueryFactory;
+import java.util.List;
+import java.util.Optional;
+import java.util.UUID;
+import lombok.RequiredArgsConstructor;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.stereotype.Repository;
+
+@Slf4j
+@Repository
+@RequiredArgsConstructor
+public class ModelDetailRepositoryImpl implements ModelDetailRepositoryCustom {
+
+  private final JPAQueryFactory queryFactory;
+
+  /**
+   * 모델 조회
+   *
+   * @param uuid
+   * @return
+   */
+  @Override
+  public Optional<ModelMasterEntity> findByUuid(UUID uuid) {
+    return Optional.ofNullable(
+        queryFactory
+            .select(modelMasterEntity)
+            .from(modelMasterEntity)
+            .where(modelMasterEntity.uuid.eq(uuid))
+            .fetchOne());
+  }
+
+  @Override
+  public DetailSummary getModelDetailSummary(UUID uuid) {
+    return queryFactory
+        .select(
+            Projections.constructor(
+                DetailSummary.class,
+                modelMasterEntity.id,
+                modelMasterEntity.uuid,
+                modelMasterEntity.modelNo,
+                modelMasterEntity.modelVer,
+                modelMasterEntity.step1StrtDttm,
+                modelMasterEntity.step2EndDttm,
+                modelMasterEntity.statusCd,
+                modelMasterEntity.trainType))
+        .from(modelMasterEntity)
+        .where(modelMasterEntity.uuid.eq(uuid))
+        .fetchOne();
+  }
+
+  @Override
+  public HyperSummary getByModelHyperParamSummary(UUID uuid) {
+    return queryFactory
+        .select(
+            Projections.constructor(
+                HyperSummary.class,
+                modelHyperParamEntity.uuid,
+                modelHyperParamEntity.id,
+                modelHyperParamEntity.hyperVer,
+                modelHyperParamEntity.backbone,
+                modelHyperParamEntity.inputSize,
+                modelHyperParamEntity.cropSize,
+                modelHyperParamEntity.batchSize))
+        .from(modelHyperParamEntity)
+        .where(
+            modelHyperParamEntity.id.eq(
+                JPAExpressions.select(modelMasterEntity.hyperParamId)
+                    .from(modelMasterEntity)
+                    .where(modelMasterEntity.uuid.eq(uuid))))
+        .fetchOne();
+  }
+
+  @Override
+  public TransferHyperSummary getByModelTransferHyperParamSummary(UUID uuid) {
+
+    QModelMasterEntity subMaster = new QModelMasterEntity("subMaster");
+    QModelHyperParamEntity subHyper = new QModelHyperParamEntity("subHyper");
+
+    return queryFactory
+        .select(
+            Projections.constructor(
+                TransferHyperSummary.class,
+                modelHyperParamEntity.uuid,
+                modelHyperParamEntity.id,
+                modelHyperParamEntity.hyperVer,
+                modelHyperParamEntity.backbone,
+                modelHyperParamEntity.inputSize,
+                modelHyperParamEntity.cropSize,
+                modelHyperParamEntity.batchSize,
+                subHyper.uuid,
+                subHyper.id,
+                subHyper.hyperVer,
+                subHyper.backbone,
+                subHyper.inputSize,
+                subHyper.cropSize,
+                subHyper.batchSize))
+        .from(modelMasterEntity)
+        .innerJoin(modelHyperParamEntity)
+        .on(modelHyperParamEntity.id.eq(modelMasterEntity.hyperParamId))
+        .leftJoin(subMaster)
+        .on(subMaster.id.eq(modelMasterEntity.beforeModelId))
+        .leftJoin(subHyper)
+        .on(subHyper.id.eq(subMaster.hyperParamId))
+        .where(modelMasterEntity.uuid.eq(uuid))
+        .fetchOne();
+  }
+
+  @Override
+  public List<MappingDataset> getByModelMappingDataset(UUID uuid) {
+    return queryFactory
+        .select(
+            Projections.constructor(
+                MappingDataset.class,
+                modelMasterEntity.id,
+                datasetEntity.id,
+                datasetEntity.dataType,
+                datasetEntity.compareYyyy,
+                datasetEntity.targetYyyy,
+                datasetEntity.roundNo,
+                modelDatasetEntity.buildingCnt,
+                modelDatasetEntity.containerCnt,
+                modelDatasetEntity.wasteCnt,
+                modelDatasetEntity.landCoverCnt))
+        .from(modelMasterEntity)
+        .innerJoin(modelDatasetEntity)
+        .on(modelMasterEntity.id.eq(modelDatasetEntity.model.id))
+        .innerJoin(modelDatasetMappEntity)
+        .on(modelMasterEntity.id.eq(modelDatasetMappEntity.modelUid))
+        .innerJoin(datasetEntity)
+        .on(modelDatasetMappEntity.datasetUid.eq(datasetEntity.id))
+        .where(modelMasterEntity.uuid.eq(uuid))
+        .fetch();
+  }
+
+  @Override
+  public ModelMasterEntity findByModelByUUID(UUID uuid) {
+    return queryFactory
+        .selectFrom(modelMasterEntity)
+        .where(modelMasterEntity.uuid.eq(uuid))
+        .fetchOne();
+  }
+
+  @Override
+  public List<ModelTrainMetrics> getModelTrainMetricResult(UUID uuid) {
+    ModelMasterEntity modelMasterEntity = findByModelByUUID(uuid);
+    if (modelMasterEntity == null) {
+      return List.of();
+    }
+
+    return queryFactory
+        .select(
+            Projections.constructor(
+                ModelTrainMetrics.class,
+                modelMetricsTrainEntity.epoch,
+                modelMetricsTrainEntity.iteration,
+                modelMetricsTrainEntity.loss,
+                modelMetricsTrainEntity.lr,
+                modelMetricsTrainEntity.durationTime))
+        .from(modelMetricsTrainEntity)
+        .where(modelMetricsTrainEntity.model.id.eq(modelMasterEntity.getId()))
+        .fetch();
+  }
+
+  @Override
+  public List<ModelValidationMetrics> getModelValidationMetricResult(UUID uuid) {
+    ModelMasterEntity modelMasterEntity = findByModelByUUID(uuid);
+    if (modelMasterEntity == null) {
+      return List.of();
+    }
+
+    return queryFactory
+        .select(
+            Projections.constructor(
+                ModelValidationMetrics.class,
+                modelMetricsValidationEntity.epoch,
+                modelMetricsValidationEntity.aAcc,
+                modelMetricsValidationEntity.mFscore,
+                modelMetricsValidationEntity.mPrecision,
+                modelMetricsValidationEntity.mRecall,
+                modelMetricsValidationEntity.mIou,
+                modelMetricsValidationEntity.mAcc,
+                modelMetricsValidationEntity.changedFscore,
+                modelMetricsValidationEntity.changedPrecision,
+                modelMetricsValidationEntity.changedRecall,
+                modelMetricsValidationEntity.unchangedFscore,
+                modelMetricsValidationEntity.unchangedPrecision,
+                modelMetricsValidationEntity.unchangedRecall))
+        .from(modelMetricsValidationEntity)
+        .where(modelMetricsValidationEntity.model.id.eq(modelMasterEntity.getId()))
+        .fetch();
+  }
+
+  @Override
+  public List<ModelTestMetrics> getModelTestMetricResult(UUID uuid) {
+    ModelMasterEntity modelMasterEntity = findByModelByUUID(uuid);
+    if (modelMasterEntity == null) {
+      return List.of();
+    }
+
+    return queryFactory
+        .select(
+            Projections.constructor(
+                ModelTestMetrics.class,
+                modelMetricsTestEntity.model1,
+                modelMetricsTestEntity.tp,
+                modelMetricsTestEntity.fp,
+                modelMetricsTestEntity.fn,
+                modelMetricsTestEntity.precisions,
+                modelMetricsTestEntity.recall,
+                modelMetricsTestEntity.f1Score,
+                modelMetricsTestEntity.accuracy,
+                modelMetricsTestEntity.iou,
+                modelMetricsTestEntity.detectionCount,
+                modelMetricsTestEntity.gtCount))
+        .from(modelMetricsTestEntity)
+        .where(modelMetricsTestEntity.model.id.eq(modelMasterEntity.getId()))
+        .fetch();
+  }
+
+  @Override
+  public ModelBestEpoch getModelTrainBestEpoch(UUID uuid) {
+    ModelMasterEntity modelMasterEntity = findByModelByUUID(uuid);
+    if (modelMasterEntity == null) {
+      return null;
+    }
+
+    return queryFactory
+        .select(
+            Projections.constructor(
+                ModelBestEpoch.class,
+                modelMetricsTrainEntity.epoch,
+                modelMetricsTrainEntity.loss,
+                modelMetricsValidationEntity.mFscore,
+                modelMetricsValidationEntity.mPrecision,
+                modelMetricsValidationEntity.mRecall,
+                modelMetricsValidationEntity.mIou,
+                modelMetricsValidationEntity.mAcc))
+        .from(modelMetricsTrainEntity)
+        .leftJoin(modelMetricsValidationEntity)
+        .on(
+            modelMetricsTrainEntity.model.eq(modelMetricsValidationEntity.model),
+            modelMetricsTrainEntity.epoch.eq(modelMetricsValidationEntity.epoch))
+        .where(
+            modelMetricsTrainEntity.model.id.eq(modelMasterEntity.getId()),
+            modelMetricsTrainEntity.epoch.eq(modelMasterEntity.getBestEpoch()))
+        .fetchOne();
+  }
+}

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

@@ -1,7 +1,8 @@
 package com.kamco.cd.training.postgres.repository.model;
 
-import com.kamco.cd.training.model.dto.ModelTrainDto;
+import com.kamco.cd.training.model.dto.ModelTrainMngDto;
 import com.kamco.cd.training.postgres.entity.ModelMasterEntity;
+import com.kamco.cd.training.train.dto.TrainRunRequest;
 import java.util.Optional;
 import java.util.UUID;
 import org.springframework.data.domain.Page;
@@ -14,9 +15,13 @@ public interface ModelMngRepositoryCustom {
    * @param searchReq
    * @return
    */
-  Page<ModelMasterEntity> findByModels(ModelTrainDto.SearchReq searchReq);
+  Page<ModelMasterEntity> findByModels(ModelTrainMngDto.SearchReq searchReq);
 
   Optional<ModelMasterEntity> findByUuid(UUID uuid);
 
   Optional<ModelMasterEntity> findFirstByStatusCdAndDelYn(String statusCd, Boolean delYn);
+
+  TrainRunRequest findTrainRunRequest(Long modelId);
+
+  Long findModelStep1InProgressCnt();
 }

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

@@ -1,10 +1,16 @@
 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.QModelHyperParamEntity.modelHyperParamEntity;
 import static com.kamco.cd.training.postgres.entity.QModelMasterEntity.modelMasterEntity;
 
-import com.kamco.cd.training.model.dto.ModelTrainDto;
+import com.kamco.cd.training.common.enums.TrainStatusType;
+import com.kamco.cd.training.model.dto.ModelTrainMngDto;
 import com.kamco.cd.training.postgres.entity.ModelMasterEntity;
+import com.kamco.cd.training.train.dto.TrainRunRequest;
 import com.querydsl.core.BooleanBuilder;
+import com.querydsl.core.types.Projections;
+import com.querydsl.core.types.dsl.Expressions;
 import com.querydsl.jpa.impl.JPAQueryFactory;
 import java.util.List;
 import java.util.Optional;
@@ -28,7 +34,7 @@ public class ModelMngRepositoryImpl implements ModelMngRepositoryCustom {
    * @return
    */
   @Override
-  public Page<ModelMasterEntity> findByModels(ModelTrainDto.SearchReq req) {
+  public Page<ModelMasterEntity> findByModels(ModelTrainMngDto.SearchReq req) {
     Pageable pageable = req.toPageable();
     BooleanBuilder builder = new BooleanBuilder();
 
@@ -36,6 +42,12 @@ public class ModelMngRepositoryImpl implements ModelMngRepositoryCustom {
       builder.and(modelMasterEntity.statusCd.eq(req.getStatus()));
     }
 
+    if (req.getModelNo() != null && !req.getModelNo().isEmpty()) {
+      builder.and(modelMasterEntity.modelNo.eq(req.getModelNo()));
+    }
+
+    builder.and(modelMasterEntity.delYn.isFalse());
+
     List<ModelMasterEntity> content =
         queryFactory
             .selectFrom(modelMasterEntity)
@@ -78,4 +90,71 @@ public class ModelMngRepositoryImpl implements ModelMngRepositoryCustom {
   public Optional<ModelMasterEntity> findFirstByStatusCdAndDelYn(String statusCd, Boolean delYn) {
     return Optional.empty();
   }
+
+  @Override
+  public TrainRunRequest findTrainRunRequest(Long modelId) {
+    return queryFactory
+        .select(
+            Projections.constructor(
+                TrainRunRequest.class,
+                modelMasterEntity.requestPath, // datasetFolder
+                modelMasterEntity.uuid, // outputFolder
+                modelHyperParamEntity.inputSize,
+                modelHyperParamEntity.cropSize,
+                modelHyperParamEntity.batchSize,
+                modelHyperParamEntity.gpuIds,
+                modelHyperParamEntity.gpuCnt,
+                modelHyperParamEntity.learningRate,
+                modelHyperParamEntity.backbone,
+                modelConfigEntity.epochCount,
+                modelHyperParamEntity.trainNumWorkers,
+                modelHyperParamEntity.valNumWorkers,
+                modelHyperParamEntity.testNumWorkers,
+                modelHyperParamEntity.trainShuffle,
+                modelHyperParamEntity.trainPersistent,
+                modelHyperParamEntity.valPersistent,
+                modelHyperParamEntity.dropPathRate,
+                modelHyperParamEntity.frozenStages,
+                modelHyperParamEntity.neckPolicy,
+                modelHyperParamEntity.classWeight,
+                modelHyperParamEntity.decoderChannels,
+                modelHyperParamEntity.weightDecay,
+                modelHyperParamEntity.layerDecayRate,
+                modelHyperParamEntity.ignoreIndex,
+                modelHyperParamEntity.ddpFindUnusedParams,
+                modelHyperParamEntity.numLayers,
+                modelHyperParamEntity.metrics,
+                modelHyperParamEntity.saveBest,
+                modelHyperParamEntity.saveBestRule,
+                modelHyperParamEntity.valInterval,
+                modelHyperParamEntity.logInterval,
+                modelHyperParamEntity.visInterval,
+                modelHyperParamEntity.rotProb,
+                modelHyperParamEntity.rotDegree,
+                modelHyperParamEntity.flipProb,
+                modelHyperParamEntity.exchangeProb,
+                modelHyperParamEntity.brightnessDelta,
+                modelHyperParamEntity.contrastRange,
+                modelHyperParamEntity.saturationRange,
+                modelHyperParamEntity.hueDelta,
+                Expressions.nullExpression(Integer.class),
+                Expressions.nullExpression(String.class),
+                modelHyperParamEntity.uuid))
+        .from(modelMasterEntity)
+        .leftJoin(modelHyperParamEntity)
+        .on(modelHyperParamEntity.id.eq(modelMasterEntity.hyperParamId))
+        .leftJoin(modelConfigEntity)
+        .on(modelConfigEntity.model.id.eq(modelMasterEntity.id))
+        .where(modelMasterEntity.id.eq(modelId))
+        .fetchOne();
+  }
+
+  @Override
+  public Long findModelStep1InProgressCnt() {
+    return queryFactory
+        .select(modelMasterEntity.id.count())
+        .from(modelMasterEntity)
+        .where(modelMasterEntity.step1State.eq(TrainStatusType.IN_PROGRESS.getId()))
+        .fetchOne();
+  }
 }

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

@@ -0,0 +1,9 @@
+package com.kamco.cd.training.postgres.repository.train;
+
+import com.kamco.cd.training.postgres.entity.ModelMetricsTestEntity;
+import org.springframework.data.jpa.repository.JpaRepository;
+import org.springframework.stereotype.Repository;
+
+@Repository
+public interface ModelTestMetricsJobRepository
+    extends JpaRepository<ModelMetricsTestEntity, Long>, ModelTestMetricsJobRepositoryCustom {}

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

@@ -0,0 +1,13 @@
+package com.kamco.cd.training.postgres.repository.train;
+
+import com.kamco.cd.training.train.dto.ModelTrainMetricsDto.ResponsePathDto;
+import java.util.List;
+
+public interface ModelTestMetricsJobRepositoryCustom {
+
+  void updateModelMetricsTrainSaveYn(Long modelId, String stepNo);
+
+  List<ResponsePathDto> getTestMetricSaveNotYetModelIds();
+
+  void insertModelMetricsTest(List<Object[]> batchArgs);
+}

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

@@ -0,0 +1,70 @@
+package com.kamco.cd.training.postgres.repository.train;
+
+import static com.kamco.cd.training.postgres.entity.QModelMasterEntity.modelMasterEntity;
+
+import com.kamco.cd.training.common.enums.TrainStatusType;
+import com.kamco.cd.training.postgres.entity.ModelMetricsTestEntity;
+import com.kamco.cd.training.train.dto.ModelTrainMetricsDto.ResponsePathDto;
+import com.querydsl.core.types.Projections;
+import com.querydsl.jpa.impl.JPAQueryFactory;
+import java.util.List;
+import org.springframework.data.jpa.repository.support.QuerydslRepositorySupport;
+import org.springframework.jdbc.core.JdbcTemplate;
+
+public class ModelTestMetricsJobRepositoryImpl extends QuerydslRepositorySupport
+    implements ModelTestMetricsJobRepositoryCustom {
+
+  private final JPAQueryFactory queryFactory;
+  private final JdbcTemplate jdbcTemplate;
+
+  public ModelTestMetricsJobRepositoryImpl(
+      JPAQueryFactory queryFactory, JdbcTemplate jdbcTemplate) {
+    super(ModelMetricsTestEntity.class);
+    this.queryFactory = queryFactory;
+    this.jdbcTemplate = jdbcTemplate;
+  }
+
+  @Override
+  public void updateModelMetricsTrainSaveYn(Long modelId, String stepNo) {
+    queryFactory
+        .update(modelMasterEntity)
+        .set(
+            stepNo.equals("step1")
+                ? modelMasterEntity.step1MetricSaveYn
+                : modelMasterEntity.step2MetricSaveYn,
+            true)
+        .where(modelMasterEntity.id.eq(modelId))
+        .execute();
+  }
+
+  @Override
+  public List<ResponsePathDto> getTestMetricSaveNotYetModelIds() {
+    return queryFactory
+        .select(
+            Projections.constructor(
+                ResponsePathDto.class, modelMasterEntity.id, modelMasterEntity.responsePath))
+        .from(modelMasterEntity)
+        .where(
+            modelMasterEntity.step2EndDttm.isNotNull(),
+            modelMasterEntity.step2State.eq(TrainStatusType.COMPLETED.getId()),
+            modelMasterEntity
+                .step2MetricSaveYn
+                .isNull()
+                .or(modelMasterEntity.step2MetricSaveYn.isFalse()))
+        .fetch();
+  }
+
+  @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 (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
+      """;
+
+    jdbcTemplate.batchUpdate(sql, batchArgs);
+  }
+}

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

@@ -0,0 +1,7 @@
+package com.kamco.cd.training.postgres.repository.train;
+
+import com.kamco.cd.training.postgres.entity.ModelTrainJobEntity;
+import org.springframework.data.jpa.repository.JpaRepository;
+
+public interface ModelTrainJobRepository
+    extends JpaRepository<ModelTrainJobEntity, Long>, ModelTrainJobRepositoryCustom {}

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

@@ -0,0 +1,10 @@
+package com.kamco.cd.training.postgres.repository.train;
+
+import com.kamco.cd.training.postgres.entity.ModelTrainJobEntity;
+import java.util.Optional;
+
+public interface ModelTrainJobRepositoryCustom {
+  int findMaxAttemptNo(Long modelId);
+
+  Optional<ModelTrainJobEntity> findLatestByModelId(Long modelId);
+}

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

@@ -0,0 +1,43 @@
+package com.kamco.cd.training.postgres.repository.train;
+
+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.Optional;
+import org.springframework.stereotype.Repository;
+
+@Repository
+public class ModelTrainJobRepositoryImpl implements ModelTrainJobRepositoryCustom {
+
+  private final JPAQueryFactory queryFactory;
+
+  public ModelTrainJobRepositoryImpl(EntityManager em) {
+    this.queryFactory = new JPAQueryFactory(em);
+  }
+
+  /** modelId의 attempt_no 최대값. (없으면 0) */
+  @Override
+  public int findMaxAttemptNo(Long modelId) {
+    QModelTrainJobEntity j = QModelTrainJobEntity.modelTrainJobEntity;
+
+    Integer max =
+        queryFactory.select(j.attemptNo.max()).from(j).where(j.modelId.eq(modelId)).fetchOne();
+
+    return max != null ? max : 0;
+  }
+
+  /**
+   * modelId의 최신 job 1건 (보통 id desc / queuedDttm desc 등) - attemptNo 기준으로도 가능하지만, 여기선 id desc가 가장
+   * 단순.
+   */
+  @Override
+  public Optional<ModelTrainJobEntity> findLatestByModelId(Long modelId) {
+    QModelTrainJobEntity j = QModelTrainJobEntity.modelTrainJobEntity;
+
+    ModelTrainJobEntity job =
+        queryFactory.selectFrom(j).where(j.modelId.eq(modelId)).orderBy(j.id.desc()).fetchFirst();
+
+    return Optional.ofNullable(job);
+  }
+}

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

@@ -0,0 +1,9 @@
+package com.kamco.cd.training.postgres.repository.train;
+
+import com.kamco.cd.training.postgres.entity.ModelMetricsTrainEntity;
+import org.springframework.data.jpa.repository.JpaRepository;
+import org.springframework.stereotype.Repository;
+
+@Repository
+public interface ModelTrainMetricsJobRepository
+    extends JpaRepository<ModelMetricsTrainEntity, Long>, ModelTrainMetricsJobRepositoryCustom {}

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

@@ -0,0 +1,15 @@
+package com.kamco.cd.training.postgres.repository.train;
+
+import com.kamco.cd.training.train.dto.ModelTrainMetricsDto.ResponsePathDto;
+import java.util.List;
+
+public interface ModelTrainMetricsJobRepositoryCustom {
+
+  List<ResponsePathDto> getTrainMetricSaveNotYetModelIds();
+
+  void insertModelMetricsTrain(List<Object[]> batchArgs);
+
+  void updateModelMetricsTrainSaveYn(Long modelId, String stepNo);
+
+  void insertModelMetricsValidation(List<Object[]> batchArgs);
+}

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

@@ -0,0 +1,82 @@
+package com.kamco.cd.training.postgres.repository.train;
+
+import static com.kamco.cd.training.postgres.entity.QModelMasterEntity.modelMasterEntity;
+
+import com.kamco.cd.training.common.enums.TrainStatusType;
+import com.kamco.cd.training.postgres.entity.ModelMetricsTrainEntity;
+import com.kamco.cd.training.train.dto.ModelTrainMetricsDto.ResponsePathDto;
+import com.querydsl.core.types.Projections;
+import com.querydsl.jpa.impl.JPAQueryFactory;
+import java.util.List;
+import org.springframework.data.jpa.repository.support.QuerydslRepositorySupport;
+import org.springframework.jdbc.core.JdbcTemplate;
+
+public class ModelTrainMetricsJobRepositoryImpl extends QuerydslRepositorySupport
+    implements ModelTrainMetricsJobRepositoryCustom {
+
+  private final JPAQueryFactory queryFactory;
+  private final JdbcTemplate jdbcTemplate;
+
+  public ModelTrainMetricsJobRepositoryImpl(
+      JPAQueryFactory queryFactory, JdbcTemplate jdbcTemplate) {
+    super(ModelMetricsTrainEntity.class);
+    this.queryFactory = queryFactory;
+    this.jdbcTemplate = jdbcTemplate;
+  }
+
+  @Override
+  public List<ResponsePathDto> getTrainMetricSaveNotYetModelIds() {
+    return queryFactory
+        .select(
+            Projections.constructor(
+                ResponsePathDto.class, modelMasterEntity.id, modelMasterEntity.responsePath))
+        .from(modelMasterEntity)
+        .where(
+            modelMasterEntity.step1EndDttm.isNotNull(),
+            modelMasterEntity.step1State.eq(TrainStatusType.COMPLETED.getId()),
+            modelMasterEntity
+                .step1MetricSaveYn
+                .isNull()
+                .or(modelMasterEntity.step1MetricSaveYn.isFalse()))
+        .fetch();
+  }
+
+  @Override
+  public void insertModelMetricsTrain(List<Object[]> batchArgs) {
+    String sql =
+        """
+            insert into tb_model_metrics_train
+            (model_id, epoch, iteration, loss, lr, duration_time)
+            values (?, ?, ?, ?, ?, ?)
+        """;
+
+    jdbcTemplate.batchUpdate(sql, batchArgs);
+  }
+
+  @Override
+  public void updateModelMetricsTrainSaveYn(Long modelId, String stepNo) {
+    queryFactory
+        .update(modelMasterEntity)
+        .set(
+            stepNo.equals("step1")
+                ? modelMasterEntity.step1MetricSaveYn
+                : modelMasterEntity.step2MetricSaveYn,
+            true)
+        .where(modelMasterEntity.id.eq(modelId))
+        .execute();
+  }
+
+  @Override
+  public void insertModelMetricsValidation(List<Object[]> batchArgs) {
+    String sql =
+        """
+            insert into tb_model_metrics_validation
+            (model_id, epoch, a_acc, m_fscore, m_precision, m_recall, m_iou, m_acc, changed_fscore, changed_precision, changed_recall,
+             unchanged_fscore, unchanged_precision, unchanged_recall
+             )
+            values (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
+        """;
+
+    jdbcTemplate.batchUpdate(sql, batchArgs);
+  }
+}

src/main/java/com/kamco/cd/training/postgres/repository/upload/UploadSessionRepositoryCustom.java

@@ -1,12 +1,13 @@
 package com.kamco.cd.training.postgres.repository.upload;
 
 import com.kamco.cd.training.upload.dto.UploadDto;
+import java.util.UUID;
 
 public interface UploadSessionRepositoryCustom {
 
   void insertUploadSession(UploadDto.UploadAddReq addReq);
 
-  UploadDto.uploadDto findByDatasetUid(Long datasetId, String uploadDivi);
+  UploadDto.uploadDto findByDatasetUid(String uploadDivi, UUID uuid);
 
   UploadDto.uploadDto findByUuid(String uuid);
 

src/main/java/com/kamco/cd/training/postgres/repository/upload/UploadSessionRepositoryImpl.java

@@ -61,7 +61,7 @@ public class UploadSessionRepositoryImpl extends QuerydslRepositorySupport
   }
 
   @Override
-  public UploadDto.uploadDto findByDatasetUid(Long datasetId, String uploadDivi) {
+  public UploadDto.uploadDto findByDatasetUid(String uploadDivi, UUID uuid) {
 
     UploadDto.uploadDto foundContent =
         queryFactory
@@ -83,9 +83,9 @@ public class UploadSessionRepositoryImpl extends QuerydslRepositorySupport
             .from(uploadSessionEntity)
             .where(
                 uploadSessionEntity
-                    .datasetId
-                    .eq(datasetId)
-                    .and(uploadSessionEntity.uploadDivi.eq(uploadDivi)))
+                    .uploadDivi
+                    .eq(uploadDivi)
+                    .and(uploadSessionEntity.uuid.eq(uuid)))
             .limit(1)
             .fetchOne();
 

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

@@ -0,0 +1,189 @@
+package com.kamco.cd.training.train;
+
+import com.kamco.cd.training.config.api.ApiResponseDto;
+import com.kamco.cd.training.train.service.TestJobService;
+import com.kamco.cd.training.train.service.TrainJobService;
+import io.swagger.v3.oas.annotations.Operation;
+import io.swagger.v3.oas.annotations.Parameter;
+import io.swagger.v3.oas.annotations.media.Content;
+import io.swagger.v3.oas.annotations.media.Schema;
+import io.swagger.v3.oas.annotations.responses.ApiResponse;
+import io.swagger.v3.oas.annotations.responses.ApiResponses;
+import io.swagger.v3.oas.annotations.tags.Tag;
+import java.util.UUID;
+import lombok.RequiredArgsConstructor;
+import org.springframework.web.bind.annotation.PathVariable;
+import org.springframework.web.bind.annotation.PostMapping;
+import org.springframework.web.bind.annotation.RequestMapping;
+import org.springframework.web.bind.annotation.RestController;
+
+@Tag(name = "학습 실행 API", description = "모델학습관리 > 학습 실행 API")
+@RequiredArgsConstructor
+@RestController
+@RequestMapping("/api/train")
+public class TrainApiController {
+
+  private final TrainJobService trainJobService;
+  private final TestJobService testJobService;
+
+  @Operation(summary = "학습 실행", description = "학습 실행 API")
+  @ApiResponses(
+      value = {
+        @ApiResponse(
+            responseCode = "200",
+            description = "실행 성공",
+            content =
+                @Content(
+                    mediaType = "application/json",
+                    schema = @Schema(implementation = String.class))),
+        @ApiResponse(responseCode = "400", description = "잘못된 검색 조건", content = @Content),
+        @ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
+      })
+  @PostMapping("/run/{uuid}")
+  public ApiResponseDto<String> run(
+      @Parameter(description = "uuid", example = "80a0e544-36ed-4999-b705-97427f23337d")
+          @PathVariable
+          UUID uuid) {
+    Long modelId = trainJobService.getModelIdByUuid(uuid);
+    trainJobService.enqueue(modelId);
+    return ApiResponseDto.ok("ok");
+  }
+
+  @Operation(summary = "학습 재실행", description = "학습 재실행 API")
+  @ApiResponses(
+      value = {
+        @ApiResponse(
+            responseCode = "200",
+            description = "재실행 성공",
+            content =
+                @Content(
+                    mediaType = "application/json",
+                    schema = @Schema(implementation = String.class))),
+        @ApiResponse(responseCode = "400", description = "잘못된 검색 조건", content = @Content),
+        @ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
+      })
+  @PostMapping("/restart/{uuid}")
+  public ApiResponseDto<String> restart(
+      @Parameter(description = "uuid", example = "80a0e544-36ed-4999-b705-97427f23337d")
+          @PathVariable
+          UUID uuid) {
+    Long modelId = trainJobService.getModelIdByUuid(uuid);
+    Long jobId = trainJobService.restart(modelId);
+    return ApiResponseDto.ok("ok");
+  }
+
+  @Operation(summary = "학습 이어하기", description = "학습 이어하기 API")
+  @ApiResponses(
+      value = {
+        @ApiResponse(
+            responseCode = "200",
+            description = "이어하기 성공",
+            content =
+                @Content(
+                    mediaType = "application/json",
+                    schema = @Schema(implementation = String.class))),
+        @ApiResponse(responseCode = "400", description = "잘못된 검색 조건", content = @Content),
+        @ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
+      })
+  @PostMapping("/resume/{uuid}")
+  public ApiResponseDto<String> resume(
+      @Parameter(description = "uuid", example = "80a0e544-36ed-4999-b705-97427f23337d")
+          @PathVariable
+          UUID uuid) {
+    Long modelId = trainJobService.getModelIdByUuid(uuid);
+    Long jobId = trainJobService.resume(modelId);
+    return ApiResponseDto.ok("ok");
+  }
+
+  @Operation(summary = "학습 취소", description = "학습 취소 API")
+  @ApiResponses(
+      value = {
+        @ApiResponse(
+            responseCode = "200",
+            description = "취소 성공",
+            content =
+                @Content(
+                    mediaType = "application/json",
+                    schema = @Schema(implementation = String.class))),
+        @ApiResponse(responseCode = "400", description = "잘못된 검색 조건", content = @Content),
+        @ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
+      })
+  @PostMapping("/cancel/{uuid}")
+  public ApiResponseDto<String> cancel(
+      @Parameter(description = "uuid", example = "80a0e544-36ed-4999-b705-97427f23337d")
+          @PathVariable
+          UUID uuid) {
+    Long modelId = trainJobService.getModelIdByUuid(uuid);
+    trainJobService.cancel(modelId);
+    return ApiResponseDto.ok("ok");
+  }
+
+  @Operation(summary = "test 실행", description = "test 실행 API")
+  @ApiResponses(
+      value = {
+        @ApiResponse(
+            responseCode = "200",
+            description = "test 성공",
+            content =
+                @Content(
+                    mediaType = "application/json",
+                    schema = @Schema(implementation = String.class))),
+        @ApiResponse(responseCode = "400", description = "잘못된 검색 조건", content = @Content),
+        @ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
+      })
+  @PostMapping("/test/run/{epoch}/{uuid}")
+  public ApiResponseDto<String> run(
+      @Parameter(description = "best 에폭", example = "1") @PathVariable int epoch,
+      @Parameter(description = "uuid", example = "80a0e544-36ed-4999-b705-97427f23337d")
+          @PathVariable
+          UUID uuid) {
+    Long modelId = trainJobService.getModelIdByUuid(uuid);
+    testJobService.enqueue(modelId, uuid, epoch);
+    return ApiResponseDto.ok("ok");
+  }
+
+  @Operation(summary = "test 학습 취소", description = "학습 취소 API")
+  @ApiResponses(
+      value = {
+        @ApiResponse(
+            responseCode = "200",
+            description = "취소 성공",
+            content =
+                @Content(
+                    mediaType = "application/json",
+                    schema = @Schema(implementation = String.class))),
+        @ApiResponse(responseCode = "400", description = "잘못된 검색 조건", content = @Content),
+        @ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
+      })
+  @PostMapping("/test/cancel/{uuid}")
+  public ApiResponseDto<String> cancelTest(
+      @Parameter(description = "uuid", example = "80a0e544-36ed-4999-b705-97427f23337d")
+          @PathVariable
+          UUID uuid) {
+    Long modelId = trainJobService.getModelIdByUuid(uuid);
+    testJobService.cancel(modelId);
+    return ApiResponseDto.ok("ok");
+  }
+
+  @Operation(summary = "데이터셋 tmp 파일생성", description = "데이터셋 tmp 파일생성 API")
+  @ApiResponses(
+      value = {
+        @ApiResponse(
+            responseCode = "200",
+            description = "데이터셋 tmp 파일생성 성공",
+            content =
+                @Content(
+                    mediaType = "application/json",
+                    schema = @Schema(implementation = String.class))),
+        @ApiResponse(responseCode = "400", description = "잘못된 검색 조건", content = @Content),
+        @ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
+      })
+  @PostMapping("/create-tmp/{uuid}")
+  public ApiResponseDto<UUID> createTmpFile(
+      @Parameter(description = "uuid", example = "80a0e544-36ed-4999-b705-97427f23337d")
+          @PathVariable
+          UUID uuid) {
+
+    return ApiResponseDto.ok(trainJobService.createTmpFile(uuid));
+  }
+}

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

@@ -0,0 +1,16 @@
+package com.kamco.cd.training.train.dto;
+
+import lombok.AllArgsConstructor;
+import lombok.Getter;
+import lombok.NoArgsConstructor;
+import lombok.Setter;
+
+@Getter
+@Setter
+@AllArgsConstructor
+@NoArgsConstructor
+public class EvalRunRequest {
+  private String uuid;
+  private int epoch; // best_changed_fscore_epoch_1.pth
+  private Integer timeoutSeconds;
+}

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

@@ -0,0 +1,25 @@
+package com.kamco.cd.training.train.dto;
+
+import java.time.ZonedDateTime;
+import java.util.Map;
+import lombok.AllArgsConstructor;
+import lombok.Getter;
+
+@Getter
+@AllArgsConstructor
+public class ModelTrainJobDto {
+
+  private Long id;
+  private Long modelId;
+  private Integer attemptNo;
+  private String statusCd;
+  private Integer exitCode;
+  private String errorMessage;
+  private String containerName;
+  private Map<String, Object> paramsJson;
+  private ZonedDateTime queuedDttm;
+  private ZonedDateTime startedDttm;
+  private ZonedDateTime finishedDttm;
+  private Integer totalEpoch;
+  private Integer currentEpoch;
+}

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

@@ -0,0 +1,15 @@
+package com.kamco.cd.training.train.dto;
+
+/** 학습 실행이 예약되었음을 알리는 이벤트 객체 */
+public class ModelTrainJobQueuedEvent {
+
+  private final Long jobId;
+
+  public ModelTrainJobQueuedEvent(Long jobId) {
+    this.jobId = jobId;
+  }
+
+  public Long getJobId() {
+    return jobId;
+  }
+}

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

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

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

@@ -0,0 +1,94 @@
+package com.kamco.cd.training.train.dto;
+
+import java.util.UUID;
+import lombok.AllArgsConstructor;
+import lombok.Getter;
+import lombok.NoArgsConstructor;
+import lombok.Setter;
+
+@Getter
+@Setter
+@NoArgsConstructor
+@AllArgsConstructor
+public class TrainRunRequest {
+
+  // ========================
+  // 기본
+  // ========================
+  private String datasetFolder;
+  private UUID outputFolder;
+  private String inputSize;
+  private String cropSize;
+  private Integer batchSize;
+  private String gpuIds;
+  private Integer gpus;
+  private Double learningRate;
+  private String backbone;
+  private Integer epochs;
+
+  // ========================
+  // Data
+  // ========================
+  private Integer trainNumWorkers;
+  private Integer valNumWorkers;
+  private Integer testNumWorkers;
+  private Boolean trainShuffle;
+  private Boolean trainPersistent;
+  private Boolean valPersistent;
+
+  // ========================
+  // Model Architecture
+  // ========================
+  private Double dropPathRate;
+  private Integer frozenStages;
+  private String neckPolicy;
+  private String classWeight;
+  private String decoderChannels;
+
+  // ========================
+  // Loss & Optimization
+  // ========================
+  private Double weightDecay;
+  private Double layerDecayRate;
+  private Integer ignoreIndex;
+  private Boolean ddpFindUnusedParams;
+  private Integer numLayers;
+
+  // ========================
+  // Evaluation
+  // ========================
+  private String metrics;
+  private String saveBest;
+  private String saveBestRule;
+  private Integer valInterval;
+  private Integer logInterval;
+  private Integer visInterval;
+
+  // ========================
+  // Augmentation
+  // ========================
+  private Double rotProb;
+  private String rotDegree;
+  private Double flipProb;
+  private Double exchangeProb;
+  private Integer brightnessDelta;
+  private String contrastRange;
+  private String saturationRange;
+  private Integer hueDelta;
+
+  // ========================
+  // 실행 타임아웃
+  // ========================
+  private Integer timeoutSeconds;
+  private String resumeFrom;
+
+  private UUID uuid;
+
+  public String getOutputFolder() {
+    return String.valueOf(this.outputFolder);
+  }
+
+  public String getUuid() {
+    return String.valueOf(this.uuid);
+  }
+}

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

@@ -0,0 +1,20 @@
+package com.kamco.cd.training.train.dto;
+
+import lombok.AllArgsConstructor;
+import lombok.Getter;
+import lombok.NoArgsConstructor;
+import lombok.Setter;
+
+/** 학습 실행 결과 반환 객체 */
+@Getter
+@Setter
+@NoArgsConstructor
+@AllArgsConstructor
+public class TrainRunResult {
+
+  private String jobId;
+  private String containerName;
+  private int exitCode;
+  private String status;
+  private String logs;
+}

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

@@ -0,0 +1,406 @@
+package com.kamco.cd.training.train.service;
+
+import com.kamco.cd.training.train.dto.EvalRunRequest;
+import com.kamco.cd.training.train.dto.TrainRunRequest;
+import com.kamco.cd.training.train.dto.TrainRunResult;
+import java.io.BufferedReader;
+import java.io.InputStreamReader;
+import java.nio.charset.StandardCharsets;
+import java.util.ArrayList;
+import java.util.List;
+import java.util.concurrent.TimeUnit;
+import java.util.regex.Matcher;
+import java.util.regex.Pattern;
+import lombok.extern.log4j.Log4j2;
+import org.springframework.beans.factory.annotation.Value;
+import org.springframework.stereotype.Service;
+
+@Log4j2
+@Service
+public class DockerTrainService {
+
+  // 실행할 Docker 이미지명
+  @Value("${train.docker.image}")
+  private String image;
+
+  // 학습 요청 데이터가 위치한 호스트 디렉토리
+  @Value("${train.docker.requestDir}")
+  private String requestDir;
+
+  // 학습 결과가 저장될 호스트 디렉토리
+  @Value("${train.docker.responseDir}")
+  private String responseDir;
+
+  // 컨테이너 이름 prefix
+  @Value("${train.docker.containerPrefix}")
+  private String containerPrefix;
+
+  // 공유메모리 사이즈 설정 (대용량 학습시 필요)
+  @Value("${train.docker.shmSize:16g}")
+  private String shmSize;
+
+  // IPC host 사용 여부
+  @Value("${train.docker.ipcHost:true}")
+  private boolean ipcHost;
+
+  /** Docker 학습 컨테이너를 동기 실행 - 요청 스레드에서 docker run 실행 - 컨테이너 종료까지 대기 - stdout/stderr 로그 수집 후 결과 반환 */
+  public TrainRunResult runTrainSync(TrainRunRequest req, String containerName) throws Exception {
+
+    List<String> cmd = buildDockerRunCommand(containerName, req);
+
+    log.info("=== Docker Train Command ===");
+    log.info("Container: {}", containerName);
+    log.info("Command: {}", String.join(" ", cmd));
+    log.info("================================");
+
+    ProcessBuilder pb = new ProcessBuilder(cmd);
+    pb.redirectErrorStream(true);
+
+    Process p = pb.start();
+
+    // 로그는 별도 스레드에서 읽기 (메인 스레드가 readLine에 안 걸리게)
+    StringBuilder logBuilder = new StringBuilder();
+
+    Pattern epochPattern = Pattern.compile("(?i)\\bepoch\\s*\\[?(\\d+)\\s*/\\s*(\\d+)\\]?\\b");
+
+    Thread logThread =
+        new Thread(
+            () -> {
+              try (BufferedReader br =
+                  new BufferedReader(
+                      new InputStreamReader(p.getInputStream(), StandardCharsets.UTF_8))) {
+
+                String line;
+                while ((line = br.readLine()) != null) {
+
+                  // 1) 로그 누적
+                  synchronized (logBuilder) {
+                    logBuilder.append(line).append('\n');
+                  }
+
+                  // 2) epoch 감지 + DB 업데이트
+                  Matcher m = epochPattern.matcher(line);
+                  if (m.find()) {
+                    int currentEpoch = Integer.parseInt(m.group(1));
+                    int totalEpoch = Integer.parseInt(m.group(2));
+
+                    log.info("[EPOCH] container={} {}/{}", containerName, currentEpoch, totalEpoch);
+
+                    // TODO 실행중인 에폭 저장 필요하면 만들어야함
+                    // TODO 하지만 여기서 트랜젝션 걸리는 db 작업하면 안좋다고하는데..?
+                    //                modelTrainMngCoreService.updateCurrentEpoch(modelId,
+                    // currentEpoch, totalEpoch);
+                  }
+                }
+              } catch (Exception e) {
+                log.warn("logThread error: {}", e.toString());
+              }
+            },
+            "train-log-" + containerName);
+    //        new Thread(
+    //            () -> {
+    //              try (BufferedReader br =
+    //                  new BufferedReader(
+    //                      new InputStreamReader(p.getInputStream(), StandardCharsets.UTF_8))) {
+    //                String line;
+    //                while ((line = br.readLine()) != null) {
+    //                  synchronized (log) {
+    //                    log.append(line).append('\n');
+    //                  }
+    //                }
+    //              } catch (Exception ignored) {
+    //              }
+    //            },
+    //            "train-log-" + containerName);
+
+    logThread.setDaemon(true);
+    logThread.start();
+
+    int timeoutSeconds = req.getTimeoutSeconds() != null ? req.getTimeoutSeconds() : 7200;
+    boolean finished = p.waitFor(timeoutSeconds, TimeUnit.SECONDS);
+
+    if (!finished) {
+      //  docker run 프로세스도 같이 끊어야 readLine이 풀림
+      p.destroy();
+      if (!p.waitFor(2, TimeUnit.SECONDS)) {
+        p.destroyForcibly();
+      }
+      killContainer(containerName);
+
+      String logs;
+      synchronized (logBuilder) {
+        logs = logBuilder.toString();
+      }
+
+      return new TrainRunResult(
+          null, // jobId (없으면 null)
+          containerName,
+          -1,
+          "TIMEOUT",
+          logs);
+    }
+
+    int exit = p.exitValue();
+
+    // 로그 스레드가 마무리할 시간을 조금 줌(없어도 되지만 로그 누락 방지용)
+    logThread.join(500);
+
+    String logs;
+    synchronized (logBuilder) {
+      logs = logBuilder.toString();
+    }
+
+    return new TrainRunResult(null, containerName, exit, exit == 0 ? "SUCCESS" : "FAILED", logs);
+  }
+
+  /**
+   * 학습 docker run command
+   *
+   * @param containerName
+   * @param req
+   * @return
+   */
+  private List<String> buildDockerRunCommand(String containerName, TrainRunRequest req) {
+
+    List<String> c = new ArrayList<>();
+
+    c.add("docker");
+    c.add("run");
+
+    // 컨테이너 이름 지정
+    c.add("--name");
+    c.add(containerName + "-" + req.getUuid().substring(0, 8));
+
+    // 실행 종료 시 자동 삭제
+    c.add("--rm");
+
+    // GPU 전체 사용
+    c.add("--gpus");
+    c.add("all");
+
+    // IPC host 사용 여부
+    if (ipcHost) {
+      c.add("--ipc=host");
+    }
+
+    // 공유메모리 설정
+    c.add("--shm-size=" + shmSize);
+
+    // 메모리 관련 ulimit 설정
+    c.add("--ulimit");
+    c.add("memlock=-1");
+    c.add("--ulimit");
+    c.add("stack=67108864");
+
+    // 환경변수 설정
+    c.add("-e");
+    c.add("OPENCV_LOG_LEVEL=ERROR");
+    c.add("-e");
+    c.add("NCCL_DEBUG=INFO");
+    c.add("-e");
+    c.add("NCCL_IB_DISABLE=1");
+    c.add("-e");
+    c.add("NCCL_P2P_DISABLE=0");
+    c.add("-e");
+    c.add("NCCL_SOCKET_IFNAME=eth0");
+
+    // 요청/결과 디렉토리 볼륨 마운트
+    c.add("-v");
+    c.add(requestDir + ":/data");
+    c.add("-v");
+    c.add(responseDir + ":/checkpoints");
+
+    // 표준입력 유지 (-it 대신 -i만 사용)
+    c.add("-i");
+
+    // 사용할 이미지
+    c.add(image);
+
+    // ===== 컨테이너 내부 실행 명령 =====
+    c.add("python");
+    c.add("/workspace/change-detection-code/train_wrapper.py");
+
+    // ===== 기본 파라미터 =====
+    addArg(c, "--dataset-folder", req.getDatasetFolder());
+    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, "--lr", req.getLearningRate());
+    addArg(c, "--backbone", req.getBackbone());
+    addArg(c, "--epochs", req.getEpochs());
+
+    // ===== Data =====
+    addArg(c, "--train-num-workers", req.getTrainNumWorkers());
+    addArg(c, "--val-num-workers", req.getValNumWorkers());
+    addArg(c, "--test-num-workers", req.getTestNumWorkers());
+    addArg(c, "--train-shuffle", req.getTrainShuffle());
+    addArg(c, "--train-persistent", req.getTrainPersistent());
+    addArg(c, "--val-persistent", req.getValPersistent());
+
+    // ===== Model Architecture =====
+    addArg(c, "--drop-path-rate", req.getDropPathRate());
+    addArg(c, "--frozen-stages", req.getFrozenStages());
+    addArg(c, "--neck-policy", req.getNeckPolicy());
+    addArg(c, "--class-weight", req.getClassWeight());
+    addArg(c, "--decoder-channels", req.getDecoderChannels());
+
+    // ===== Loss & Optimization =====
+    addArg(c, "--weight-decay", req.getWeightDecay());
+    addArg(c, "--layer-decay-rate", req.getLayerDecayRate());
+    addArg(c, "--ignore-index", req.getIgnoreIndex());
+    addArg(c, "--ddp-find-unused-params", req.getDdpFindUnusedParams());
+    addArg(c, "--num-layers", req.getNumLayers());
+
+    // ===== Evaluation =====
+    addArg(c, "--metrics", req.getMetrics());
+    addArg(c, "--save-best", req.getSaveBest());
+    addArg(c, "--save-best-rule", req.getSaveBestRule());
+    addArg(c, "--val-interval", req.getValInterval());
+    addArg(c, "--log-interval", req.getLogInterval());
+    addArg(c, "--vis-interval", req.getVisInterval());
+
+    // ===== Augmentation =====
+    addArg(c, "--rot-prob", req.getRotProb());
+    addArg(c, "--rot-degree", req.getRotDegree());
+    addArg(c, "--flip-prob", req.getFlipProb());
+    addArg(c, "--exchange-prob", req.getExchangeProb());
+    addArg(c, "--brightness-delta", req.getBrightnessDelta());
+    addArg(c, "--contrast-range", req.getContrastRange());
+    addArg(c, "--saturation-range", req.getSaturationRange());
+    addArg(c, "--hue-delta", req.getHueDelta());
+
+    addArg(c, "--resume-from", req.getResumeFrom());
+    return c;
+  }
+
+  /** 인자 추가(키 + 값) - null / blank면 아예 추가 안 함 */
+  private void addArg(List<String> c, String key, Object value) {
+    if (value == null) return;
+    String s = String.valueOf(value).trim();
+    if (s.isEmpty()) return;
+
+    c.add(key + "=" + s);
+  }
+
+  /** 컨테이너 강제 종료 및 제거 */
+  public void killContainer(String containerName) {
+    try {
+      new ProcessBuilder("docker", "rm", "-f", containerName)
+          .redirectErrorStream(true)
+          .start()
+          .waitFor(10, TimeUnit.SECONDS);
+    } catch (Exception ignored) {
+    }
+  }
+
+  public TrainRunResult runEvalSync(EvalRunRequest req, String containerName) throws Exception {
+
+    List<String> cmd = buildDockerEvalCommand(containerName, req);
+
+    log.info("=== Docker Test Command ===");
+    log.info("Container: {}", containerName);
+    log.info("Command: {}", String.join(" ", cmd));
+    log.info("================================");
+
+    ProcessBuilder pb = new ProcessBuilder(cmd);
+    pb.redirectErrorStream(true);
+
+    Process p = pb.start();
+
+    StringBuilder log = new StringBuilder();
+    Thread logThread =
+        new Thread(
+            () -> {
+              try (BufferedReader br =
+                  new BufferedReader(
+                      new InputStreamReader(p.getInputStream(), StandardCharsets.UTF_8))) {
+                String line;
+                while ((line = br.readLine()) != null) {
+                  synchronized (log) {
+                    log.append(line).append('\n');
+                  }
+                }
+              } catch (Exception ignored) {
+              }
+            });
+
+    logThread.setDaemon(true);
+    logThread.start();
+
+    int timeout = req.getTimeoutSeconds() != null ? req.getTimeoutSeconds() : 7200;
+    boolean finished = p.waitFor(timeout, TimeUnit.SECONDS);
+
+    if (!finished) {
+      p.destroyForcibly();
+      killContainer(containerName);
+
+      String logs;
+      synchronized (log) {
+        logs = log.toString();
+      }
+
+      return new TrainRunResult(null, containerName, -1, "TIMEOUT", logs);
+    }
+
+    int exit = p.exitValue();
+    logThread.join(500);
+
+    String logs;
+    synchronized (log) {
+      logs = log.toString();
+    }
+
+    return new TrainRunResult(null, containerName, exit, exit == 0 ? "SUCCESS" : "FAILED", logs);
+  }
+
+  /**
+   * 테스트 docker run command
+   *
+   * @param containerName
+   * @param req
+   * @return
+   */
+  private List<String> buildDockerEvalCommand(String containerName, EvalRunRequest req) {
+
+    String uuid = req.getUuid();
+    Integer epoch = req.getEpoch();
+    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";
+
+    List<String> c = new ArrayList<>();
+
+    c.add("docker");
+    c.add("run");
+    c.add("--name");
+    c.add(containerName + "=" + req.getUuid().substring(0, 8));
+    c.add("--rm");
+
+    c.add("--gpus");
+    c.add("all");
+    if (ipcHost) c.add("--ipc=host");
+    c.add("--shm-size=" + shmSize);
+
+    c.add("-v");
+    c.add(requestDir + ":/data");
+    c.add("-v");
+    c.add(responseDir + ":/checkpoints");
+
+    c.add(image);
+
+    c.add("python");
+    c.add("/workspace/change-detection-code/run_evaluation_pipeline.py");
+
+    c.add("--dataset_dir");
+    c.add("/data/" + uuid);
+
+    c.add("--model");
+    c.add("/checkpoints/" + uuid + "/" + modelFile);
+
+    return c;
+  }
+}

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

@@ -0,0 +1,102 @@
+package com.kamco.cd.training.train.service;
+
+import com.kamco.cd.training.postgres.core.ModelTestMetricsJobCoreService;
+import com.kamco.cd.training.train.dto.ModelTrainMetricsDto.ResponsePathDto;
+import java.io.BufferedReader;
+import java.io.IOException;
+import java.nio.charset.StandardCharsets;
+import java.nio.file.Files;
+import java.nio.file.Paths;
+import java.util.ArrayList;
+import java.util.List;
+import lombok.RequiredArgsConstructor;
+import lombok.extern.slf4j.Slf4j;
+import org.apache.commons.csv.CSVFormat;
+import org.apache.commons.csv.CSVParser;
+import org.apache.commons.csv.CSVRecord;
+import org.springframework.beans.factory.annotation.Value;
+import org.springframework.stereotype.Service;
+
+@Slf4j
+@Service
+@RequiredArgsConstructor
+public class ModelTestMetricsJobService {
+
+  private final ModelTestMetricsJobCoreService modelTestMetricsJobCoreService;
+
+  @Value("${spring.profiles.active}")
+  private String profile;
+
+  /**
+   * 실행중인 profile
+   *
+   * @return
+   */
+  private boolean isLocalProfile() {
+    return "local".equalsIgnoreCase(profile);
+  }
+
+  //    @Scheduled(cron = "0 * * * * *")
+  public void findTestValidMetricCsvFiles() {
+    //    if (isLocalProfile()) {
+    //      return;
+    //    }
+
+    List<ResponsePathDto> modelIds =
+        modelTestMetricsJobCoreService.getTestMetricSaveNotYetModelIds();
+
+    if (modelIds.isEmpty()) {
+      return;
+    }
+
+    for (ResponsePathDto modelInfo : modelIds) {
+
+      String testPath = modelInfo.getResponsePath() + "/metrics/test.csv";
+      try (BufferedReader reader =
+          Files.newBufferedReader(Paths.get(testPath), StandardCharsets.UTF_8); ) {
+
+        CSVParser parser = CSVFormat.DEFAULT.withFirstRecordAsHeader().parse(reader);
+
+        List<Object[]> batchArgs = new ArrayList<>();
+
+        for (CSVRecord record : parser) {
+
+          String model = record.get("model");
+          long TP = Long.parseLong(record.get("TP"));
+          long FP = Long.parseLong(record.get("FP"));
+          long FN = Long.parseLong(record.get("FN"));
+          float precision = Float.parseFloat(record.get("precision"));
+          float recall = Float.parseFloat(record.get("recall"));
+          float f1_score = Float.parseFloat(record.get("f1_score"));
+          float accuracy = Float.parseFloat(record.get("accuracy"));
+          float iou = Float.parseFloat(record.get("iou"));
+          long detection_count = Long.parseLong(record.get("detection_count"));
+          long gt_count = Long.parseLong(record.get("gt_count"));
+
+          batchArgs.add(
+              new Object[] {
+                modelInfo.getModelId(),
+                model,
+                TP,
+                FP,
+                FN,
+                precision,
+                recall,
+                f1_score,
+                accuracy,
+                iou,
+                detection_count,
+                gt_count
+              });
+        }
+
+        modelTestMetricsJobCoreService.insertModelMetricsTest(batchArgs);
+
+      } catch (IOException e) {
+        throw new RuntimeException(e);
+      }
+
+      modelTestMetricsJobCoreService.updateModelMetricsTrainSaveYn(modelInfo.getModelId(), "step2");
+    }
+  }
+}

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

@@ -0,0 +1,136 @@
+package com.kamco.cd.training.train.service;
+
+import com.kamco.cd.training.postgres.core.ModelTrainMetricsJobCoreService;
+import com.kamco.cd.training.train.dto.ModelTrainMetricsDto.ResponsePathDto;
+import java.io.BufferedReader;
+import java.io.IOException;
+import java.nio.charset.StandardCharsets;
+import java.nio.file.Files;
+import java.nio.file.Paths;
+import java.util.ArrayList;
+import java.util.List;
+import lombok.RequiredArgsConstructor;
+import lombok.extern.slf4j.Slf4j;
+import org.apache.commons.csv.CSVFormat;
+import org.apache.commons.csv.CSVParser;
+import org.apache.commons.csv.CSVRecord;
+import org.springframework.beans.factory.annotation.Value;
+import org.springframework.stereotype.Service;
+
+@Slf4j
+@Service
+@RequiredArgsConstructor
+public class ModelTrainMetricsJobService {
+
+  private final ModelTrainMetricsJobCoreService modelTrainMetricsJobCoreService;
+
+  @Value("${spring.profiles.active}")
+  private String profile;
+
+  // 학습 결과가 저장될 호스트 디렉토리
+  @Value("${train.docker.responseDir}")
+  private String responseDir;
+
+  /**
+   * 실행중인 profile
+   *
+   * @return
+   */
+  private boolean isLocalProfile() {
+    return "local".equalsIgnoreCase(profile);
+  }
+
+  // @Scheduled(cron = "0 * * * * *")
+  public void findTrainValidMetricCsvFiles() {
+    //    if (isLocalProfile()) {
+    //      return;
+    //    }
+
+    List<ResponsePathDto> modelIds =
+        modelTrainMetricsJobCoreService.getTrainMetricSaveNotYetModelIds();
+
+    if (modelIds.isEmpty()) {
+      return;
+    }
+
+    for (ResponsePathDto modelInfo : modelIds) {
+
+      String trainPath = responseDir + "{uuid}/metrics/train.csv"; // TODO
+      try (BufferedReader reader =
+          Files.newBufferedReader(Paths.get(trainPath), StandardCharsets.UTF_8); ) {
+
+        CSVParser parser = CSVFormat.DEFAULT.withFirstRecordAsHeader().parse(reader);
+
+        List<Object[]> batchArgs = new ArrayList<>();
+
+        for (CSVRecord record : parser) {
+
+          int epoch = Integer.parseInt(record.get("Epoch")) + 1; // TODO : 나중에 AI 개발 완료되면 -1 하기
+          long iteration = Long.parseLong(record.get("Iteration"));
+          double Loss = Double.parseDouble(record.get("Loss"));
+          double LR = Double.parseDouble(record.get("LR"));
+          float time = Float.parseFloat(record.get("Time"));
+
+          batchArgs.add(new Object[] {modelInfo.getModelId(), epoch, iteration, Loss, LR, time});
+        }
+
+        modelTrainMetricsJobCoreService.insertModelMetricsTrain(batchArgs);
+
+      } catch (IOException e) {
+        throw new RuntimeException(e);
+      }
+
+      String validationPath = modelInfo.getResponsePath() + "/metrics/val.csv";
+      try (BufferedReader reader =
+          Files.newBufferedReader(Paths.get(validationPath), StandardCharsets.UTF_8); ) {
+
+        CSVParser parser = CSVFormat.DEFAULT.withFirstRecordAsHeader().parse(reader);
+
+        List<Object[]> batchArgs = new ArrayList<>();
+
+        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"));
+
+          batchArgs.add(
+              new Object[] {
+                modelInfo.getModelId(),
+                epoch,
+                aAcc,
+                mFscore,
+                mPrecision,
+                mRecall,
+                mIoU,
+                mAcc,
+                changed_fscore,
+                changed_precision,
+                changed_recall,
+                unchanged_fscore,
+                unchanged_precision,
+                unchanged_recall
+              });
+        }
+
+        modelTrainMetricsJobCoreService.insertModelMetricsValidation(batchArgs);
+
+      } catch (IOException e) {
+        throw new RuntimeException(e);
+      }
+
+      modelTrainMetricsJobCoreService.updateModelMetricsTrainSaveYn(
+          modelInfo.getModelId(), "step1");
+    }
+  }
+}

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

@@ -0,0 +1,79 @@
+package com.kamco.cd.training.train.service;
+
+import com.fasterxml.jackson.databind.ObjectMapper;
+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.ModelTrainJobQueuedEvent;
+import java.time.ZonedDateTime;
+import java.util.Map;
+import java.util.UUID;
+import lombok.RequiredArgsConstructor;
+import org.springframework.context.ApplicationEventPublisher;
+import org.springframework.stereotype.Service;
+import org.springframework.transaction.annotation.Transactional;
+
+@Service
+@RequiredArgsConstructor
+@Transactional(readOnly = true)
+public class TestJobService {
+  private final ModelTrainJobCoreService modelTrainJobCoreService;
+  private final ModelTrainMngCoreService modelTrainMngCoreService;
+  private final DockerTrainService dockerTrainService;
+  private final ObjectMapper objectMapper;
+  private final ApplicationEventPublisher eventPublisher;
+
+  @Transactional
+  public Long enqueue(Long modelId, UUID uuid, int epoch) {
+
+    // 마스터 확인
+    modelTrainMngCoreService.findModelById(modelId);
+
+    // best epoch 업데이트
+    modelTrainMngCoreService.updateModelMasterBestEpoch(modelId, epoch);
+
+    Map<String, Object> params = new java.util.LinkedHashMap<>();
+    params.put("jobType", "EVAL");
+    params.put("uuid", String.valueOf(uuid));
+    params.put("epoch", epoch);
+
+    int nextAttemptNo = modelTrainJobCoreService.findMaxAttemptNo(modelId) + 1;
+
+    Long jobId =
+        modelTrainJobCoreService.createQueuedJob(
+            modelId, nextAttemptNo, params, ZonedDateTime.now());
+
+    // step2 시작으로 마킹
+    modelTrainMngCoreService.markStep2InProgress(modelId, jobId);
+
+    eventPublisher.publishEvent(new ModelTrainJobQueuedEvent(jobId));
+    return jobId;
+  }
+
+  @Transactional
+  public void cancel(Long modelId) {
+
+    ModelTrainMngDto.Basic master = modelTrainMngCoreService.findModelById(modelId);
+
+    Long jobId = master.getCurrentAttemptId();
+    if (jobId == null) {
+      throw new IllegalStateException("실행중인 작업이 없습니다.");
+    }
+
+    var job =
+        modelTrainJobCoreService
+            .findById(jobId)
+            .orElseThrow(() -> new IllegalStateException("Job not found"));
+
+    String containerName = job.getContainerName();
+
+    // 1) 컨테이너 강제 종료 + 제거 (없거나 이미 죽었어도 괜찮게)
+    if (containerName != null && !containerName.isBlank()) {
+      dockerTrainService.killContainer(containerName);
+    }
+
+    // 2) 상태 업데이트 (항상 수행)
+    modelTrainJobCoreService.markCanceled(jobId);
+    modelTrainMngCoreService.markStopped(modelId);
+  }
+}

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

@@ -0,0 +1,239 @@
+package com.kamco.cd.training.train.service;
+
+import com.fasterxml.jackson.databind.ObjectMapper;
+import com.kamco.cd.training.common.enums.TrainStatusType;
+import com.kamco.cd.training.model.dto.ModelTrainMngDto;
+import com.kamco.cd.training.model.service.TmpDatasetService;
+import com.kamco.cd.training.postgres.core.ModelTrainJobCoreService;
+import com.kamco.cd.training.postgres.core.ModelTrainMngCoreService;
+import com.kamco.cd.training.train.dto.ModelTrainJobQueuedEvent;
+import com.kamco.cd.training.train.dto.TrainRunRequest;
+import java.io.IOException;
+import java.nio.file.Files;
+import java.nio.file.Path;
+import java.nio.file.Paths;
+import java.time.ZonedDateTime;
+import java.util.List;
+import java.util.Map;
+import java.util.UUID;
+import lombok.RequiredArgsConstructor;
+import org.springframework.beans.factory.annotation.Value;
+import org.springframework.context.ApplicationEventPublisher;
+import org.springframework.stereotype.Service;
+import org.springframework.transaction.annotation.Transactional;
+
+@Service
+@RequiredArgsConstructor
+@Transactional(readOnly = true)
+public class TrainJobService {
+
+  private final ModelTrainJobCoreService modelTrainJobCoreService;
+  private final ModelTrainMngCoreService modelTrainMngCoreService;
+  private final DockerTrainService dockerTrainService;
+  private final ObjectMapper objectMapper;
+  private final ApplicationEventPublisher eventPublisher;
+  private final TmpDatasetService tmpDatasetService;
+
+  // 학습 결과가 저장될 호스트 디렉토리
+  @Value("${train.docker.responseDir}")
+  private String responseDir;
+
+  public Long getModelIdByUuid(UUID uuid) {
+    return modelTrainMngCoreService.findModelIdByUuid(uuid);
+  }
+
+  /** 실행 예약 (QUEUE 등록) */
+  @Transactional
+  public Long enqueue(Long modelId) {
+
+    // 마스터 존재 확인(없으면 예외)
+    modelTrainMngCoreService.findModelById(modelId);
+
+    // 파라미터 조회
+    TrainRunRequest trainRunRequest = modelTrainMngCoreService.findTrainRunRequest(modelId);
+
+    if (trainRunRequest == null) {
+      throw new IllegalArgumentException("Model not found: " + modelId);
+    }
+
+    int nextAttemptNo = modelTrainJobCoreService.findMaxAttemptNo(modelId) + 1;
+
+    @SuppressWarnings("unchecked")
+    Map<String, Object> paramsMap = objectMapper.convertValue(trainRunRequest, Map.class);
+    paramsMap.put("jobType", "TRAIN");
+    paramsMap.put("uuid", trainRunRequest.getUuid());
+    paramsMap.put("totalEpoch", trainRunRequest.getEpochs());
+
+    Long jobId =
+        modelTrainJobCoreService.createQueuedJob(
+            modelId, nextAttemptNo, paramsMap, ZonedDateTime.now());
+
+    modelTrainMngCoreService.clearLastError(modelId);
+    modelTrainMngCoreService.markInProgress(modelId, jobId);
+
+    // 커밋 이후 Worker 실행 트리거(리스너에서 AFTER_COMMIT로 받아야 함)
+    eventPublisher.publishEvent(new ModelTrainJobQueuedEvent(jobId));
+    return jobId;
+  }
+
+  /**
+   * 재시작
+   *
+   * <p>- STOPPED / ERROR 상태에서만 가능 (IN_PROGRESS면 예외) - 이전 params_json 재사용 - 새 attempt 생성
+   */
+  @Transactional
+  public Long restart(Long modelId) {
+    return createNextAttempt(modelId, ResumeMode.NONE);
+  }
+
+  /**
+   * 이어하기
+   *
+   * @param modelId
+   * @return
+   */
+  @Transactional
+  public Long resume(Long modelId) {
+    return createNextAttempt(modelId, ResumeMode.REQUIRE);
+  }
+
+  /**
+   * 중단
+   *
+   * <p>- job 상태 CANCELED - master 상태 STOPPED
+   *
+   * <p>※ 실제 docker stop은 Worker/Runner가 수행(운영 안정)
+   */
+  @Transactional
+  public void cancel(Long modelId) {
+
+    ModelTrainMngDto.Basic master = modelTrainMngCoreService.findModelById(modelId);
+
+    Long jobId = master.getCurrentAttemptId();
+    if (jobId == null) {
+      throw new IllegalStateException("실행중인 작업이 없습니다.");
+    }
+
+    var job =
+        modelTrainJobCoreService
+            .findById(jobId)
+            .orElseThrow(() -> new IllegalStateException("Job not found"));
+
+    String containerName = job.getContainerName();
+
+    // 1) 컨테이너 강제 종료 + 제거 (없거나 이미 죽었어도 괜찮게)
+    if (containerName != null && !containerName.isBlank()) {
+      dockerTrainService.killContainer(containerName);
+    }
+
+    // 2) 상태 업데이트 (항상 수행)
+    modelTrainJobCoreService.markCanceled(jobId);
+    modelTrainMngCoreService.markStopped(modelId);
+  }
+
+  private Long createNextAttempt(Long modelId, ResumeMode mode) {
+
+    ModelTrainMngDto.Basic master = modelTrainMngCoreService.findModelById(modelId);
+
+    if (TrainStatusType.IN_PROGRESS.getId().equals(master.getStatusCd())) {
+      throw new IllegalStateException("이미 진행중입니다.");
+    }
+
+    var lastJob =
+        modelTrainJobCoreService
+            .findLatestByModelId(modelId)
+            .orElseThrow(() -> new IllegalStateException("이전 실행 이력이 없습니다."));
+
+    int nextAttemptNo = modelTrainJobCoreService.findMaxAttemptNo(modelId) + 1;
+
+    // 이전 params_json 재사용 (재현성)
+    Map<String, Object> params = lastJob.getParamsJson();
+    if (params == null || params.isEmpty()) {
+      throw new IllegalStateException("이전 실행 params_json이 없습니다.");
+    }
+
+    // mode에 따라 resume 옵션 주입/제거
+    Map<String, Object> nextParams = new java.util.LinkedHashMap<>(params);
+
+    if (mode == ResumeMode.NONE) {
+      // 이어하기 관련 키가 있다면 제거 (완전 새로 시작 보장)
+      nextParams.remove("resumeFrom");
+      nextParams.remove("resume");
+    } else if (mode == ResumeMode.REQUIRE) {
+      // 체크포인트 탐지해서 resumeFrom 세팅
+      String resumeFrom = findResumeFromOrNull(nextParams);
+      if (resumeFrom == null) {
+        throw new IllegalStateException("이어하기 체크포인트가 없습니다.");
+      }
+      nextParams.put("resumeFrom", resumeFrom);
+      nextParams.put("resume", true);
+    }
+
+    Long jobId =
+        modelTrainJobCoreService.createQueuedJob(
+            modelId, nextAttemptNo, nextParams, ZonedDateTime.now());
+
+    modelTrainMngCoreService.clearLastError(modelId);
+    modelTrainMngCoreService.markInProgress(modelId, jobId);
+
+    eventPublisher.publishEvent(new ModelTrainJobQueuedEvent(jobId));
+    return jobId;
+  }
+
+  private enum ResumeMode {
+    NONE, // 새로 시작
+    REQUIRE // 이어하기
+  }
+
+  public String findResumeFromOrNull(Map<String, Object> paramsJson) {
+    if (paramsJson == null) return null;
+
+    Object out = paramsJson.get("outputFolder");
+    if (out == null) return null;
+
+    String outputFolder = String.valueOf(out).trim(); // uuid
+    if (outputFolder.isEmpty()) return null;
+
+    // 호스트 기준 경로
+    Path outDir = Paths.get(responseDir, outputFolder);
+
+    Path last = outDir.resolve("last_checkpoint");
+    if (!Files.isRegularFile(last)) return null;
+
+    try {
+      String ckptFile = Files.readString(last).trim(); // epoch_10.pth
+      if (ckptFile.isEmpty()) return null;
+
+      Path ckptHost = outDir.resolve(ckptFile);
+      if (!Files.isRegularFile(ckptHost)) return null;
+
+      // 컨테이너 경로 반환
+      return "/checkpoints/" + outputFolder + "/" + ckptFile;
+
+    } catch (Exception e) {
+      return null;
+    }
+  }
+
+  public UUID createTmpFile(UUID modelUuid) {
+    UUID tmpUuid = UUID.randomUUID();
+    String raw = tmpUuid.toString().toUpperCase().replace("-", "");
+
+    Long modelId = modelTrainMngCoreService.findModelIdByUuid(modelUuid);
+    List<Long> datasetIds = modelTrainMngCoreService.findModelDatasetMapp(modelId);
+
+    List<String> uids = modelTrainMngCoreService.findDatasetUid(datasetIds);
+
+    try {
+      // 데이터셋 심볼링크 생성
+      Path path = tmpDatasetService.buildTmpDatasetSymlink(raw, uids);
+      ModelTrainMngDto.UpdateReq updateReq = new ModelTrainMngDto.UpdateReq();
+      updateReq.setRequestPath(path.toString());
+      modelTrainMngCoreService.updateModelMaster(modelId, updateReq);
+    } catch (IOException e) {
+      throw new RuntimeException(e);
+    }
+
+    return modelUuid;
+  }
+}

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

@@ -0,0 +1,126 @@
+package com.kamco.cd.training.train.service;
+
+import com.fasterxml.jackson.databind.ObjectMapper;
+import com.kamco.cd.training.common.enums.TrainStatusType;
+import com.kamco.cd.training.postgres.core.ModelTrainJobCoreService;
+import com.kamco.cd.training.postgres.core.ModelTrainMngCoreService;
+import com.kamco.cd.training.train.dto.EvalRunRequest;
+import com.kamco.cd.training.train.dto.ModelTrainJobDto;
+import com.kamco.cd.training.train.dto.ModelTrainJobQueuedEvent;
+import com.kamco.cd.training.train.dto.TrainRunRequest;
+import com.kamco.cd.training.train.dto.TrainRunResult;
+import java.util.Map;
+import lombok.RequiredArgsConstructor;
+import org.springframework.scheduling.annotation.Async;
+import org.springframework.stereotype.Component;
+import org.springframework.transaction.event.TransactionPhase;
+import org.springframework.transaction.event.TransactionalEventListener;
+
+@Component
+@RequiredArgsConstructor
+public class TrainJobWorker {
+
+  private final ModelTrainJobCoreService modelTrainJobCoreService;
+  private final ModelTrainMngCoreService modelTrainMngCoreService;
+  private final DockerTrainService dockerTrainService;
+  private final ObjectMapper objectMapper;
+
+  @Async
+  @TransactionalEventListener(phase = TransactionPhase.AFTER_COMMIT)
+  public void handle(ModelTrainJobQueuedEvent event) {
+
+    Long jobId = event.getJobId();
+
+    ModelTrainJobDto job =
+        modelTrainJobCoreService
+            .findById(jobId)
+            .orElseThrow(() -> new IllegalArgumentException("Job not found: " + jobId));
+
+    if (TrainStatusType.STOPPED.getId().equals(job.getStatusCd())) {
+      return;
+    }
+
+    Long modelId = job.getModelId();
+    Map<String, Object> params = job.getParamsJson();
+
+    String jobType = params != null ? String.valueOf(params.get("jobType")) : null;
+
+    boolean isEval = "EVAL".equals(jobType);
+
+    String containerName =
+        (isEval ? "eval-" : "train-") + jobId + "-" + params.get("uuid").toString().substring(0, 8);
+
+    Integer totalEpoch = null;
+    if (params.containsKey("totalEpoch")) {
+      if (params.get("totalEpoch") != null) {
+        totalEpoch = Integer.parseInt(params.get("totalEpoch").toString());
+      }
+    }
+
+    modelTrainJobCoreService.markRunning(jobId, containerName, null, "TRAIN_WORKER", totalEpoch);
+
+    try {
+      TrainRunResult result;
+
+      if (isEval) {
+        modelTrainMngCoreService.markStep2InProgress(modelId, jobId);
+        String uuid = String.valueOf(params.get("uuid"));
+        int epoch = (int) params.get("epoch");
+
+        EvalRunRequest evalReq = new EvalRunRequest(uuid, epoch, null);
+        result = dockerTrainService.runEvalSync(evalReq, containerName);
+
+      } else {
+        modelTrainMngCoreService.markStep1InProgress(modelId, jobId);
+        TrainRunRequest trainReq = toTrainRunRequest(params);
+        result = dockerTrainService.runTrainSync(trainReq, containerName);
+      }
+
+      ModelTrainJobDto latest =
+          modelTrainJobCoreService
+              .findById(jobId)
+              .orElseThrow(() -> new IllegalArgumentException("Job not found: " + jobId));
+
+      if (TrainStatusType.STOPPED.getId().equals(latest.getStatusCd())) {
+        return;
+      }
+
+      if (result.getExitCode() == 0) {
+        modelTrainJobCoreService.markSuccess(jobId, result.getExitCode());
+
+        if (isEval) {
+          modelTrainMngCoreService.markStep2Success(modelId);
+        } else {
+          modelTrainMngCoreService.markStep1Success(modelId);
+        }
+
+      } else {
+        modelTrainJobCoreService.markFailed(
+            jobId, result.getExitCode(), result.getStatus() + "\n" + result.getLogs());
+
+        if (isEval) {
+          modelTrainMngCoreService.markStep2Error(modelId, "exit=" + result.getExitCode());
+        } else {
+          modelTrainMngCoreService.markError(modelId, "exit=" + result.getExitCode());
+        }
+      }
+
+    } catch (Exception e) {
+      modelTrainJobCoreService.markFailed(jobId, null, e.toString());
+
+      if ("EVAL".equals(params.get("jobType"))) {
+        modelTrainMngCoreService.markStep2Error(modelId, e.getMessage());
+      } else {
+        modelTrainMngCoreService.markError(modelId, e.getMessage());
+      }
+    }
+  }
+
+  private TrainRunRequest toTrainRunRequest(Map<String, Object> paramsJson) {
+    if (paramsJson == null || paramsJson.isEmpty()) {
+      return null;
+    }
+
+    return objectMapper.convertValue(paramsJson, TrainRunRequest.class);
+  }
+}

src/main/java/com/kamco/cd/training/upload/UploadApiController.java

@@ -9,6 +9,7 @@ import io.swagger.v3.oas.annotations.media.Content;
 import io.swagger.v3.oas.annotations.responses.ApiResponse;
 import io.swagger.v3.oas.annotations.responses.ApiResponses;
 import io.swagger.v3.oas.annotations.tags.Tag;
+import java.util.UUID;
 import lombok.RequiredArgsConstructor;
 import org.springframework.http.MediaType;
 import org.springframework.web.bind.annotation.*;
@@ -53,24 +54,26 @@ public class UploadApiController {
       })
   @PostMapping(value = "/chunk-upload-dataset", consumes = MediaType.MULTIPART_FORM_DATA_VALUE)
   public ApiResponseDto<UploadDto.UploadRes> uploadChunkDataSetFile(
-      @RequestParam("datasetUid") long datasetUid,
+      //      @RequestParam("datasetUid") long datasetUid,
       @RequestParam("fileName") String fileName,
       @RequestParam("fileSize") long fileSize,
       // @RequestParam("fileHash") String fileHash,
       @RequestParam("chunkIndex") Integer chunkIndex,
       @RequestParam("chunkTotalIndex") Integer chunkTotalIndex,
-      @RequestPart("chunkFile") MultipartFile chunkFile) {
+      @RequestPart("chunkFile") MultipartFile chunkFile,
+      @RequestParam("uuid") UUID uuid) {
 
     String uploadDivi = "dataset";
 
     UploadDto.UploadAddReq upAddReqDto = new UploadDto.UploadAddReq();
-    upAddReqDto.setDatasetId(datasetUid);
+    //    upAddReqDto.setDatasetId(datasetUid);
     upAddReqDto.setFileName(fileName);
     upAddReqDto.setFileSize(fileSize);
     upAddReqDto.setChunkIndex(chunkIndex);
     upAddReqDto.setChunkTotalIndex(chunkTotalIndex);
     upAddReqDto.setUploadDivi(uploadDivi);
     // upAddReqDto.setFileHash(fileHash);
+    upAddReqDto.setUuid(uuid);
 
     return ApiResponseDto.ok(uploadService.uploadChunk(upAddReqDto, chunkFile));
   }

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

@@ -195,11 +195,10 @@ public class UploadDto {
     private String uuid;
     private int chunkIndex;
     private int chunkTotalIndex;
+    private String filePath;
+    private String fileName;
 
     public double getUploadRate() {
-      if (this.chunkTotalIndex == 0) {
-        return 0.0;
-      }
       return (double) (this.chunkIndex + 1) / (this.chunkTotalIndex + 1) * 100.0;
     }
   }

src/main/java/com/kamco/cd/training/upload/service/UploadService.java

@@ -10,6 +10,7 @@ import java.nio.file.Files;
 import java.nio.file.Path;
 import java.nio.file.Paths;
 import java.nio.file.StandardOpenOption;
+import java.util.Objects;
 import java.util.UUID;
 import lombok.RequiredArgsConstructor;
 import lombok.extern.slf4j.Slf4j;
@@ -51,9 +52,11 @@ public class UploadService {
 
     UploadDto.UploadRes upRes = new UploadDto.UploadRes();
 
-    long datasetId = upAddReqDto.getDatasetId();
+    //    long datasetId = upAddReqDto.getDatasetId();
+    long datasetId = 0;
     String uploadId = System.currentTimeMillis() + "";
-    UUID uuid = UUID.randomUUID();
+    //    UUID uuid = UUID.randomUUID();
+    UUID uuid = upAddReqDto.getUuid();
     String tmpDataSetDir = "";
     String fianlDir = "";
     String uploadDivi = upAddReqDto.getUploadDivi();
@@ -64,10 +67,14 @@ public class UploadService {
     String status = "UPLOADING";
 
     if (uploadDivi.equals("dataset")) {
-      tmpDataSetDir = datasetTmpDir + uuid + "/";
-      fianlDir = datasetDir + uuid + "/";
+      tmpDataSetDir = datasetTmpDir;
+      fianlDir = datasetDir;
     }
 
+    // 리턴용 파일 값
+    upRes.setFilePath(fianlDir);
+    upRes.setFileName(fileName);
+
     upAddReqDto.setUuid(uuid);
     upAddReqDto.setUploadId(uploadId);
     upAddReqDto.setStatus(status);
@@ -94,24 +101,22 @@ public class UploadService {
     }
 
     // chunk완료시 merge 및 폴더에 저장
-    if (chunkIndex.equals(chunkTotalIndex)) {
+    if (Objects.equals(chunkIndex, chunkTotalIndex)) {
 
-      // upAddReqDto.setUploadId(dto.getUploadId());
-      // upAddReqDto.setStatus("MERGING");
-      // uploadSessionCoreService.updateUploadSessionStatus(upAddReqDto);
+      upAddReqDto.setUploadId(dto != null ? dto.getUploadId() : upAddReqDto.getUploadId());
+      upAddReqDto.setStatus("MERGING");
+      uploadSessionCoreService.updateUploadSessionStatus(upAddReqDto);
 
-      /*
       try {
         this.mergeChunks(tmpDataSetDir, fianlDir, fileName, chunkTotalIndex);
       } catch (IOException e) {
-        //throw new RuntimeException(e);
+        // throw new RuntimeException(e);
         upRes.setRes("fail");
         upRes.setResMsg("파일 저장 완료(merge) 애러");
         return upRes;
       }
-      */
 
-      upAddReqDto.setUploadId(dto.getUploadId());
+      upAddReqDto.setUploadId(dto != null ? dto.getUploadId() : upAddReqDto.getUploadId());
       upAddReqDto.setStatus("COMPLETE");
       uploadSessionCoreService.updateUploadSessionStatus(upAddReqDto);
     }
@@ -158,7 +163,7 @@ public class UploadService {
 
     UploadDto.uploadDto dto =
         uploadSessionCoreService.findByDatasetUid(
-            upAddReqDto.getDatasetId(), upAddReqDto.getUploadDivi());
+            upAddReqDto.getUploadDivi(), upAddReqDto.getUuid());
 
     if (upAddReqDto.getChunkIndex() == 0) {
       if (dto != null) {
@@ -190,28 +195,67 @@ public class UploadService {
     return dto;
   }
 
-  public void mergeChunks(String tmpDir, String fianlDir, String fileName, int chunkTotalIndex)
+  public void mergeChunks(String tmpDir, String finalDir, String fileName, int chunkTotalIndex)
       throws IOException {
+    long start = System.currentTimeMillis();
+    Path outputPath = Paths.get(finalDir, fileName);
+
+    log.info(
+        "mergeChunks start: fileName={}, tmpDir={}, outputPath={}, lastChunkIndex={}",
+        fileName,
+        tmpDir,
+        outputPath,
+        chunkTotalIndex);
+
+    long totalBytes = 0;
 
-    Path outputPath = Paths.get(fianlDir, fileName);
     try (FileChannel outChannel =
-        FileChannel.open(outputPath, StandardOpenOption.CREATE, StandardOpenOption.WRITE)) {
+        FileChannel.open(
+            outputPath,
+            StandardOpenOption.CREATE,
+            StandardOpenOption.WRITE,
+            StandardOpenOption.TRUNCATE_EXISTING)) {
+
       for (int i = 0; i <= chunkTotalIndex; i++) {
-        Path chunkPath = Paths.get(tmpDir, i + "");
+        Path chunkPath = Paths.get(tmpDir, String.valueOf(i));
 
         try (FileChannel inChannel = FileChannel.open(chunkPath, StandardOpenOption.READ)) {
-          long transferred = 0;
           long size = inChannel.size();
+          long transferred = 0;
           while (transferred < size) {
             transferred += inChannel.transferTo(transferred, size - transferred, outChannel);
           }
+          totalBytes += size;
         }
-        // 병합 후 즉시 삭제하여 디스크 공간 확보
+
         Files.delete(chunkPath);
       }
+
+      try {
+        FIleChecker.deleteFolder(tmpDir);
+        // 108 에서 86 서버로 이동
+        //        log.info("################# server move 108 -> 86");
+        //        FIleChecker.uploadTo86(outputPath);
+      } catch (Exception e) {
+        log.warn("tmpDir delete failed (merge already succeeded): tmpDir={}", tmpDir, e);
+      }
+
+    } catch (IOException e) {
+      log.error(
+          "mergeChunks failed: fileName={}, tmpDir={}, outputPath={}, lastChunkIndex={}",
+          fileName,
+          tmpDir,
+          outputPath,
+          chunkTotalIndex,
+          e);
+      throw e;
     }
 
-    // 병합후 임시 폴더 삭제
-    FIleChecker.deleteFolder(tmpDir);
+    log.info(
+        "mergeChunks done: fileName={}, outputPath={}, bytes={}, elapsedMs={}",
+        fileName,
+        outputPath,
+        totalBytes,
+        (System.currentTimeMillis() - start));
   }
 }