merge develop_add_log

Reviewed-on: #104

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

@@ -279,7 +279,9 @@ public class FIleChecker {
     return true;
   }
 
-  public static List<Folder> getFolderAll(String dirPath, String sortType, int maxDepth) {
+  // kamco-nfs를 확인하는곳이 있어서 파라미터 추가 사용용도확인후 처리
+  public static List<Folder> getFolderAll(
+      String dirPath, String sortType, int maxDepth, String nfsRootDir) {
 
     Path startPath = Paths.get(dirPath);
 
@@ -308,8 +310,12 @@ public class FIleChecker {
                     String parentPath = path.getParent().toString();
                     String fullPath = path.toAbsolutePath().toString();
 
+                    // 이것이 필요한건가?
+                    //                    boolean isShowHide =
+                    //                      !parentFolderNm.equals("kamco-nfs"); // 폴더 리스트에
+                    // kamco-nfs 하위만 나오도록 처리
                     boolean isShowHide =
-                        !parentFolderNm.equals("kamco-nfs"); // 폴더 리스트에 kamco-nfs 하위만 나오도록 처리
+                        !parentFolderNm.equals(nfsRootDir); // 폴더 리스트에 nfsRootDir 하위만 나오도록 처리
                     File file = new File(fullPath);
                     int childCnt = getChildFolderCount(file);
                     String lastModified = getLastModified(file);
@@ -357,8 +363,8 @@ public class FIleChecker {
     return folderList;
   }
 
-  public static List<Folder> getFolderAll(String dirPath) {
+  public static List<Folder> getFolderAll(String dirPath, String nfsRootDir) {
-    return getFolderAll(dirPath, "name", 1);
+    return getFolderAll(dirPath, "name", 1, nfsRootDir);
   }
 
   public static int getChildFolderCount(File directory) {

src/main/java/com/kamco/cd/kamcoback/config/FileProperties.java

@@ -0,0 +1,33 @@
+package com.kamco.cd.kamcoback.config;
+
+import lombok.Getter;
+import lombok.Setter;
+import org.springframework.boot.context.properties.ConfigurationProperties;
+import org.springframework.stereotype.Component;
+
+@Getter
+@Setter
+@Component
+@ConfigurationProperties(prefix = "file")
+public class FileProperties {
+
+  private String root;
+  private String nfs;
+  private String syncRootDir;
+  private String syncTmpDir;
+  private String syncFileExtention;
+  private String datasetDir;
+  private String datasetTmpDir;
+  private String modelDir;
+  private String modelTmpDir;
+  private String modelFileExtention;
+  private String ptPath;
+  private String datasetResponse;
+  private TrainingData trainingData;
+
+  @Getter
+  @Setter
+  public static class TrainingData {
+    private String geojsonDir;
+  }
+}

src/main/java/com/kamco/cd/kamcoback/config/InferenceProperties.java

@@ -0,0 +1,20 @@
+package com.kamco.cd.kamcoback.config;
+
+import lombok.Getter;
+import lombok.Setter;
+import org.springframework.boot.context.properties.ConfigurationProperties;
+import org.springframework.stereotype.Component;
+
+@Getter
+@Setter
+@Component
+@ConfigurationProperties(prefix = "inference")
+public class InferenceProperties {
+
+  private String nfs;
+  private String url;
+  private String batchUrl;
+  private String geojsonDir;
+  private String jarPath;
+  private String inferenceServerName;
+}

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

@@ -105,7 +105,8 @@ public class SecurityConfig {
                         "/api/layer/map/**",
                         "/api/layer/tile-url",
                         "/api/layer/tile-url-year",
-                        "/api/common-code/clazz")
+                        "/api/common-code/clazz",
+                        "/api/inference/download/**")
                     .permitAll()
                     // 로그인한 사용자만 가능 IAM
                     .requestMatchers(

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

@@ -16,6 +16,8 @@ public class StartupLogger {
 
   private final Environment environment;
   private final DataSource dataSource;
+  private final FileProperties fileProperties;
+  private final InferenceProperties inferenceProperties;
 
   @EventListener(ApplicationReadyEvent.class)
   public void logStartupInfo() {
@@ -79,6 +81,25 @@ public class StartupLogger {
           │  DDL Auto         : %s
           │  JDBC Batch Size  : %s
           │  Fetch Batch Size : %s
+          ╠════════════════════════════════════════════════════════════════════════════════╣
+          ║  FILE CONFIGURATION                                                            ║
+          ╠────────────────────────────────────────────────────────────────────────────────╣
+          │  Root Directory   : %s
+          │  NFS Mount Path   : %s
+          │  Sync Root Dir    : %s
+          │  Sync Tmp Dir     : %s
+          │  Dataset Dir      : %s
+          │  Model Dir        : %s
+          │  PT Path          : %s
+          ╠════════════════════════════════════════════════════════════════════════════════╣
+          ║  INFERENCE CONFIGURATION                                                       ║
+          ╠────────────────────────────────────────────────────────────────────────────────╣
+          │  NFS Mount Path   : %s
+          │  Inference URL    : %s
+          │  Batch URL        : %s
+          │  GeoJSON Dir      : %s
+          │  JAR Path         : %s
+          │  Server Names     : %s
           ╚════════════════════════════════════════════════════════════════════════════════╝
           """,
             profileInfo,
@@ -89,7 +110,24 @@ public class StartupLogger {
             showSql,
             ddlAuto,
             batchSize,
-            batchFetchSize);
+            batchFetchSize,
+            fileProperties.getRoot() != null ? fileProperties.getRoot() : "N/A",
+            fileProperties.getNfs() != null ? fileProperties.getNfs() : "N/A",
+            fileProperties.getSyncRootDir() != null ? fileProperties.getSyncRootDir() : "N/A",
+            fileProperties.getSyncTmpDir() != null ? fileProperties.getSyncTmpDir() : "N/A",
+            fileProperties.getDatasetDir() != null ? fileProperties.getDatasetDir() : "N/A",
+            fileProperties.getModelDir() != null ? fileProperties.getModelDir() : "N/A",
+            fileProperties.getPtPath() != null ? fileProperties.getPtPath() : "N/A",
+            inferenceProperties.getNfs() != null ? inferenceProperties.getNfs() : "N/A",
+            inferenceProperties.getUrl() != null ? inferenceProperties.getUrl() : "N/A",
+            inferenceProperties.getBatchUrl() != null ? inferenceProperties.getBatchUrl() : "N/A",
+            inferenceProperties.getGeojsonDir() != null
+                ? inferenceProperties.getGeojsonDir()
+                : "N/A",
+            inferenceProperties.getJarPath() != null ? inferenceProperties.getJarPath() : "N/A",
+            inferenceProperties.getInferenceServerName() != null
+                ? inferenceProperties.getInferenceServerName()
+                : "N/A");
 
     log.info(startupMessage);
   }

src/main/java/com/kamco/cd/kamcoback/gukyuin/dto/ChngDetectMastDto.java

@@ -83,7 +83,7 @@ public class ChngDetectMastDto {
 
     @Schema(
         description = "탐지결과 절대경로명 /kamco_nas/export/{chnDtctId}",
-        example = "/kamco-nfs/dataset/export/D5F192EC76D34F6592035BE63A84F591")
+        example = "{file.nfs}/dataset/export/D5F192EC76D34F6592035BE63A84F591")
     private String pathNm;
 
     @Schema(description = "사원번호", example = "123456")

src/main/java/com/kamco/cd/kamcoback/gukyuin/service/GukYuinApiService.java

@@ -66,8 +66,11 @@ public class GukYuinApiService {
   @Value("${gukyuin.cdi}")
   private String gukyuinCdiUrl;
 
-  @Value("${file.dataset-dir}")
+  @Value("${file.nfs}")
-  private String datasetDir;
+  private String nfs;
+
+  //  @Value("${file.dataset-dir}")
+  //  private String datasetDir;
 
   @Transactional
   public ChngDetectMastDto.RegistResDto regist(
@@ -453,7 +456,10 @@ public class GukYuinApiService {
       return new ResponseObj(ApiResponseCode.DUPLICATE_DATA, "이미 국유인 연동을 한 회차입니다.");
     }
 
-    if (!Files.isDirectory(Path.of(datasetDir + info.getUid()))) {
+    //    String kamconfsDatasetExportPathfsDatasetExportPath = "/kamco-nfs/dataset/export/";
+    String kamconfsDatasetExportPathfsDatasetExportPath =
+        String.format("%s%s", nfs, "/dataset/export/");
+    if (!Files.isDirectory(Path.of(kamconfsDatasetExportPathfsDatasetExportPath + info.getUid()))) {
       return new ResponseObj(
           ApiResponseCode.NOT_FOUND_DATA, "파일 경로에 회차 실행 파일이 생성되지 않았습니다. 확인 부탁드립니다.");
     }
@@ -468,7 +474,7 @@ public class GukYuinApiService {
     reqDto.setCrtrYr(String.valueOf(info.getTargetYyyy()));
     reqDto.setChnDtctSno(String.valueOf(maxStage + 1));
     reqDto.setChnDtctId(info.getUid());
-    reqDto.setPathNm(datasetDir + info.getUid());
+    reqDto.setPathNm(kamconfsDatasetExportPathfsDatasetExportPath + info.getUid());
 
     // 1회차를 종료 상태로 처리하고 2회차를 보내야 함
     // 추론(learn), 학습데이터(inference) 둘 다 종료 처리

src/main/java/com/kamco/cd/kamcoback/inference/dto/InferenceSendDto.java

@@ -16,9 +16,6 @@ import lombok.extern.slf4j.Slf4j;
 @ToString
 public class InferenceSendDto {
 
-  private static final String DEV_PATH_PREFIX = "kamco-nfs";
-  private static final String PROD_PATH_PREFIX = "data";
-
   private pred_requests_areas pred_requests_areas;
   private String model_version;
   private String cd_model_path;
@@ -28,23 +25,6 @@ public class InferenceSendDto {
   private String cd_model_type;
   private Double priority;
 
-  // 프로덕션은 경로가 바뀜
-  public void changeValForProd() {
-    if (pred_requests_areas != null) {
-      pred_requests_areas.changeValForProd();
-      log.info("[CHANGE]pred_requests_areas={}", pred_requests_areas);
-    }
-    if (this.cd_model_path != null) {
-      this.cd_model_path = this.cd_model_path.replace(DEV_PATH_PREFIX, PROD_PATH_PREFIX);
-    }
-    if (this.cls_model_path != null) {
-      this.cls_model_path = this.cls_model_path.replace(DEV_PATH_PREFIX, PROD_PATH_PREFIX);
-    }
-    if (this.cd_model_config != null) {
-      this.cd_model_config = this.cd_model_config.replace(DEV_PATH_PREFIX, PROD_PATH_PREFIX);
-    }
-  }
-
   @Getter
   @Setter
   @AllArgsConstructor
@@ -56,19 +36,5 @@ public class InferenceSendDto {
     private Integer input2_year;
     private String input1_scene_path;
     private String input2_scene_path;
-
-    public void changeValForProd() {
-      // ai팀에서 kamco-nfs를 data로 세팅했음
-      if (this.input1_scene_path != null) {
-        this.input1_scene_path =
-            this.input1_scene_path.replace(
-                InferenceSendDto.DEV_PATH_PREFIX, InferenceSendDto.PROD_PATH_PREFIX);
-      }
-      if (this.input2_scene_path != null) {
-        this.input2_scene_path =
-            this.input2_scene_path.replace(
-                InferenceSendDto.DEV_PATH_PREFIX, InferenceSendDto.PROD_PATH_PREFIX);
-      }
-    }
   }
 }

src/main/java/com/kamco/cd/kamcoback/inference/service/InferenceResultService.java

@@ -119,6 +119,12 @@ public class InferenceResultService {
     return dto.getUuid();
   }
 
+  /**
+   * 추론 실행 - 추론제외, 이전년도 도엽 사용 분기
+   *
+   * @param req
+   * @return
+   */
   @Transactional
   public UUID run(InferenceResultDto.RegReq req) {
     if (req.getDetectOption().equals(DetectOption.EXCL.getId())) {
@@ -605,7 +611,6 @@ public class InferenceResultService {
       log.info("[CHANGE INFERENCE] profile = {}  Inforence req", profile);
       log.info("========================================================");
       log.info("");
-      dto.changeValForProd();
     }
 
     // 1) 요청 로그
@@ -616,13 +621,15 @@ public class InferenceResultService {
     }
 
     // 2) local 환경 임시 처리
-    if ("local".equals(profile)) {
+    //    if ("local".equals(profile)) {
-      if (dto.getPred_requests_areas() == null) {
+    //      if (dto.getPred_requests_areas() == null) {
-        throw new IllegalStateException("pred_requests_areas is null");
+    //        throw new IllegalStateException("pred_requests_areas is null");
-      }
+    //      }
-      dto.getPred_requests_areas().setInput1_scene_path("/kamco-nfs/requests/2023_local.geojson");
+    //
-      dto.getPred_requests_areas().setInput2_scene_path("/kamco-nfs/requests/2024_local.geojson");
+    // dto.getPred_requests_areas().setInput1_scene_path("/kamco-nfs/requests/2023_local.geojson");
-    }
+    //
+    // dto.getPred_requests_areas().setInput2_scene_path("/kamco-nfs/requests/2024_local.geojson");
+    //    }
 
     // 3) HTTP 호출
     HttpHeaders headers = new HttpHeaders();

src/main/java/com/kamco/cd/kamcoback/inference/service/InferenceRunService.java

@@ -1,224 +0,0 @@
-package com.kamco.cd.kamcoback.inference.service;
-
-import com.fasterxml.jackson.core.JsonProcessingException;
-import com.fasterxml.jackson.core.type.TypeReference;
-import com.fasterxml.jackson.databind.ObjectMapper;
-import com.kamco.cd.kamcoback.common.exception.CustomApiException;
-import com.kamco.cd.kamcoback.common.geometry.GeoJsonFileWriter.Scene;
-import com.kamco.cd.kamcoback.config.resttemplate.ExternalHttpClient;
-import com.kamco.cd.kamcoback.config.resttemplate.ExternalHttpClient.ExternalCallResult;
-import com.kamco.cd.kamcoback.inference.dto.InferenceSendDto;
-import com.kamco.cd.kamcoback.inference.dto.InferenceSendDto.pred_requests_areas;
-import com.kamco.cd.kamcoback.model.dto.ModelMngDto.Basic;
-import com.kamco.cd.kamcoback.model.dto.ModelMngDto.ModelType;
-import com.kamco.cd.kamcoback.postgres.core.MapSheetMngCoreService;
-import com.kamco.cd.kamcoback.postgres.core.ModelMngCoreService;
-import java.nio.file.Paths;
-import java.util.HashSet;
-import java.util.List;
-import java.util.Map;
-import java.util.Set;
-import java.util.UUID;
-import lombok.RequiredArgsConstructor;
-import lombok.extern.log4j.Log4j2;
-import org.springframework.beans.factory.annotation.Value;
-import org.springframework.http.HttpHeaders;
-import org.springframework.http.HttpMethod;
-import org.springframework.http.HttpStatus;
-import org.springframework.http.MediaType;
-import org.springframework.stereotype.Service;
-
-@Service
-@Log4j2
-@RequiredArgsConstructor
-public class InferenceRunService {
-  private final ExternalHttpClient externalHttpClient;
-  private final MapSheetMngCoreService mapSheetMngCoreService;
-  private final ModelMngCoreService modelMngCoreService;
-  private final ObjectMapper objectMapper;
-
-  @Value("${spring.profiles.active}")
-  private String profile;
-
-  @Value("${inference.url}")
-  private String inferenceUrl;
-
-  // TODO 이거 쓰는건가?
-  public void run(Integer compareYear, Integer targetYear, UUID modelUuid) {
-
-    List<String> compareList = mapSheetMngCoreService.getMapSheetMngHst(compareYear);
-    List<String> targetList = mapSheetMngCoreService.getMapSheetMngHst(targetYear);
-
-    log.info(
-        "hst list count compareList = {}, targetList = {}", compareList.size(), targetList.size());
-
-    Set<String> compareSet = new HashSet<>(compareList);
-    Set<String> targetSet = new HashSet<>(targetList);
-
-    long intersectionCount =
-        targetSet.stream()
-            .distinct()
-            .filter(compareSet::contains)
-            .count(); // compare와 target에 공통으로 존재하는 도협 수
-
-    long excludedTargetCount =
-        targetSet.stream()
-            .distinct()
-            .filter(s -> !compareSet.contains(s))
-            .count(); // target 에만 존재하는 도협 수 (compare 에는 없음)
-
-    long onlyCompareCount =
-        compareSet.stream()
-            .distinct()
-            .filter(s -> !targetSet.contains(s))
-            .count(); // compare 에만 존재하는 도협 수 (target 에는 없음)
-
-    log.info(
-        """
-      ===== MapSheet Year Comparison =====
-      target Total: {}
-      compare Total: {}
-      Intersection: {}
-      target Only (Excluded from compare): {}
-      compare Only: {}
-      ====================================
-      """,
-        targetSet.size(),
-        compareSet.size(),
-        intersectionCount,
-        excludedTargetCount,
-        onlyCompareCount);
-
-    List<String> filteredTargetList =
-        targetSet.stream() // target 기준으로
-            .filter(compareSet::contains) // compare에 있는 도협만 남김
-            .toList();
-
-    Scene modelComparePath = getSceneInference(compareYear.toString(), filteredTargetList, "", "");
-
-    Scene modelTargetPath = getSceneInference(targetYear.toString(), filteredTargetList, "", "");
-
-    // ai 서버에 전달할 파라미터 생성
-    pred_requests_areas predRequestsAreas = new pred_requests_areas();
-    predRequestsAreas.setInput1_year(compareYear);
-    predRequestsAreas.setInput2_year(targetYear);
-    predRequestsAreas.setInput1_scene_path(modelComparePath.getFilePath());
-    predRequestsAreas.setInput2_scene_path(modelTargetPath.getFilePath());
-
-    InferenceSendDto m1 = this.getModelInfo(modelUuid);
-    m1.setPred_requests_areas(predRequestsAreas);
-
-    // ai 추론 실행 api 호출
-    Long batchId = ensureAccepted(m1);
-  }
-
-  private Scene getSceneInference(
-      String yyyy, List<String> mapSheetNums, String mapSheetScope, String detectOption) {
-    return mapSheetMngCoreService.getSceneInference(
-        yyyy, mapSheetNums, mapSheetScope, detectOption);
-  }
-
-  /**
-   * 추론 AI API 호출
-   *
-   * @param dto
-   */
-  private Long ensureAccepted(InferenceSendDto dto) {
-
-    if (dto == null) {
-      log.warn("not InferenceSendDto dto");
-      throw new CustomApiException("BAD_REQUEST", HttpStatus.BAD_REQUEST);
-    }
-
-    // 1) 요청 로그
-    try {
-      log.info("Inference request dto={}", objectMapper.writeValueAsString(dto));
-    } catch (JsonProcessingException e) {
-      log.warn("Failed to serialize inference dto", e);
-    }
-
-    // 3) HTTP 호출
-    HttpHeaders headers = new HttpHeaders();
-    headers.setContentType(MediaType.APPLICATION_JSON);
-    headers.setAccept(List.of(MediaType.APPLICATION_JSON));
-
-    ExternalCallResult<String> result =
-        externalHttpClient.call(inferenceUrl, HttpMethod.POST, dto, headers, String.class);
-
-    if (result.statusCode() < 200 || result.statusCode() >= 300) {
-      log.error("Inference API failed. status={}, body={}", result.statusCode(), result.body());
-      throw new CustomApiException("BAD_GATEWAY", HttpStatus.BAD_GATEWAY);
-    }
-
-    // 4) 응답 파싱
-    try {
-      List<Map<String, Object>> list =
-          objectMapper.readValue(result.body(), new TypeReference<>() {});
-
-      if (list.isEmpty()) {
-        throw new IllegalStateException("Inference response is empty");
-      }
-
-      Object batchIdObj = list.get(0).get("batch_id");
-      if (batchIdObj == null) {
-        throw new IllegalStateException("batch_id not found in response");
-      }
-
-      return Long.valueOf(batchIdObj.toString());
-
-    } catch (Exception e) {
-      log.error("Failed to parse inference response. body={}", result.body(), e);
-      throw new CustomApiException("INVALID_INFERENCE_RESPONSE", HttpStatus.BAD_GATEWAY);
-    }
-  }
-
-  /**
-   * 모델정보 조회 dto 생성 후 반환
-   *
-   * @param uuid
-   * @return
-   */
-  private InferenceSendDto getModelInfo(UUID uuid) {
-
-    Basic modelInfo = modelMngCoreService.findByModelUuid(uuid);
-
-    String cdModelPath = "";
-    String cdModelConfigPath = "";
-    String cdClsModelPath = "";
-
-    if (modelInfo.getCdModelPath() != null && modelInfo.getCdModelFileName() != null) {
-      cdModelPath =
-          Paths.get(modelInfo.getCdModelPath(), modelInfo.getCdModelFileName()).toString();
-    }
-
-    if (modelInfo.getCdModelConfig() != null && modelInfo.getCdModelConfigFileName() != null) {
-      cdModelConfigPath =
-          Paths.get(modelInfo.getCdModelConfig(), modelInfo.getCdModelConfigFileName()).toString();
-    }
-
-    if (modelInfo.getClsModelPath() != null && modelInfo.getClsModelFileName() != null) {
-      cdClsModelPath =
-          Paths.get(modelInfo.getClsModelPath(), modelInfo.getClsModelFileName()).toString();
-    }
-
-    String modelType = "";
-
-    if (modelInfo.getModelType().equals(ModelType.G1.getId())) {
-      modelType = ModelType.G1.getId();
-    } else if (modelInfo.getModelType().equals(ModelType.G2.getId())) {
-      modelType = ModelType.G2.getId();
-    } else {
-      modelType = ModelType.G3.getId();
-    }
-
-    InferenceSendDto sendDto = new InferenceSendDto();
-    sendDto.setModel_version(modelInfo.getModelVer());
-    sendDto.setCd_model_path(cdModelPath);
-    sendDto.setCd_model_config(cdModelConfigPath);
-    sendDto.setCls_model_path(cdClsModelPath);
-    sendDto.setCls_model_version(modelInfo.getModelVer());
-    sendDto.setCd_model_type(modelType);
-    sendDto.setPriority(5.0);
-    return sendDto;
-  }
-}

src/main/java/com/kamco/cd/kamcoback/mapsheet/service/MapSheetMngService.java

@@ -47,6 +47,9 @@ public class MapSheetMngService {
   private final UploadService uploadService;
   private final UserUtil userUtil = new UserUtil();
 
+  @Value("${file.root}")
+  private String nfsRootDir;
+
   @Value("${file.sync-root-dir}")
   private String syncRootDir;
 
@@ -111,7 +114,6 @@ public class MapSheetMngService {
   public DmlReturn uploadPair(
       MultipartFile tfwFile, String tifFile, Long hstUid, Long tifFileSize) {
 
-    String rootPath = syncRootDir;
     String tmpPath = syncTmpDir;
 
     DmlReturn dmlReturn = new DmlReturn("success", "UPLOAD COMPLETE");
@@ -133,6 +135,7 @@ public class MapSheetMngService {
       return dmlReturn;
     }
 
+    // TODO 삭제?
     MngDto mngDto = mapSheetMngCoreService.findMapSheetMng(errDto.getMngYyyy());
 
     // 중복체크 -> 도엽50k/uuid 경로에 업로드 할 거라 overwrite 되지 않음
@@ -340,7 +343,7 @@ public class MapSheetMngService {
 
     log.info("[FIND_FOLDER] DIR : {}", dirPath);
     List<FIleChecker.Folder> folderList =
-        FIleChecker.getFolderAll(dirPath).stream()
+        FIleChecker.getFolderAll(dirPath, nfsRootDir).stream()
             .filter(dir -> dir.getIsValid().equals(true))
             .toList();
 

src/main/java/com/kamco/cd/kamcoback/postgres/repository/Inference/MapSheetLearnRepositoryCustom.java

@@ -73,8 +73,6 @@ public interface MapSheetLearnRepositoryCustom {
    */
   MapSheetLearnEntity getProcessing();
 
-  Integer getLearnStage(Integer compareYear, Integer targetYear);
-
   /**
    * 추론 결과 정보 조회
    *

src/main/java/com/kamco/cd/kamcoback/postgres/repository/Inference/MapSheetLearnRepositoryImpl.java

@@ -291,24 +291,6 @@ public class MapSheetLearnRepositoryImpl implements MapSheetLearnRepositoryCusto
         .fetchOne();
   }
 
-  @Override
-  public Integer getLearnStage(Integer compareYear, Integer targetYear) {
-    Integer stage =
-        queryFactory
-            .select(mapSheetLearnEntity.stage)
-            .from(mapSheetLearnEntity)
-            .where(
-                mapSheetLearnEntity
-                    .compareYyyy
-                    .eq(compareYear)
-                    .and(mapSheetLearnEntity.targetYyyy.eq(targetYear)))
-            .orderBy(mapSheetLearnEntity.id.desc())
-            .limit(1)
-            .fetchOne();
-
-    return stage == null ? 1 : stage + 1;
-  }
-
   @Override
   public AnalResultInfo getInferenceResultInfo(UUID uuid) {
     QModelMngEntity m1 = new QModelMngEntity("m1");

src/main/java/com/kamco/cd/kamcoback/postgres/repository/mapsheet/MapSheetMngRepositoryCustom.java

@@ -64,6 +64,12 @@ public interface MapSheetMngRepositoryCustom {
 
   List<MapSheetMngDto.MngFilesDto> findByHstUidMapSheetFileList(Long hstUid);
 
+  /**
+   * 변화탐지 실행 가능 기준 연도 조회
+   *
+   * @param req 조회 연도, 도엽번호 목록,
+   * @return
+   */
   List<MngListDto> findByHstMapSheetTargetList(InferenceResultDto.RegReq req);
 
   List<MngListDto> findByHstMapSheetTargetList(int mngYyyy, List<String> mapIds);

src/main/java/com/kamco/cd/kamcoback/scheduler/service/MapSheetInferenceJobService.java

@@ -381,14 +381,6 @@ public class MapSheetInferenceJobService {
       log.warn("not InferenceSendDto dto");
       throw new CustomApiException("BAD_REQUEST", HttpStatus.BAD_REQUEST);
     }
-    // [중복운영환경일때 경로수정 dean 260226
-    if (profile != null && profile.equals("prod")) {
-      log.info("========================================================");
-      log.info("[CHANGE INFERENCE] profile = {}  Inforence req", profile);
-      log.info("========================================================");
-      log.info("");
-      dto.changeValForProd();
-    }
 
     // 1) 요청 로그
     log.info("");
@@ -397,13 +389,15 @@ public class MapSheetInferenceJobService {
     log.info("========================================================");
     log.info("");
     // 2) local 환경 임시 처리
-    if ("local".equals(profile)) {
+    //    if ("local".equals(profile)) {
-      if (dto.getPred_requests_areas() == null) {
+    //      if (dto.getPred_requests_areas() == null) {
-        throw new IllegalStateException("pred_requests_areas is null");
+    //        throw new IllegalStateException("pred_requests_areas is null");
-      }
+    //      }
-      dto.getPred_requests_areas().setInput1_scene_path("/kamco-nfs/requests/2023_local.geojson");
+    //
-      dto.getPred_requests_areas().setInput2_scene_path("/kamco-nfs/requests/2024_local.geojson");
+    // dto.getPred_requests_areas().setInput1_scene_path("/kamco-nfs/requests/2023_local.geojson");
-    }
+    //
+    // dto.getPred_requests_areas().setInput2_scene_path("/kamco-nfs/requests/2024_local.geojson");
+    //    }
 
     // 3) HTTP 호출
     HttpHeaders headers = new HttpHeaders();

src/main/java/com/kamco/cd/kamcoback/scheduler/service/TrainingDataReviewJobService.java

@@ -31,7 +31,7 @@ public class TrainingDataReviewJobService {
   @Value("${spring.profiles.active}")
   private String profile;
 
-  @Value("${training-data.geojson-dir}")
+  @Value("${file.training-data.geojson-dir}")
   private String trainingDataDir;
 
   private boolean isLocalProfile() {

src/main/resources/application-dev.yml

@@ -89,36 +89,17 @@ mapsheet:
   shp:
     baseurl: /app/tmp/detect/result  #현재사용안함
 
-
-
 file:
-  #sync-root-dir: D:/kamco-nfs/images/
+  root: kamco-nfs
-  sync-root-dir: /kamco-nfs/images/
+  nfs: /kamco-nfs
-  sync-tmp-dir: /kamco-nfs/requests/temp              # image upload temp dir
+  pt-path: ${file.nfs}/ckpt/model/v6-cls-checkpoints/
-  #sync-tmp-dir: ${file.sync-root-dir}/tmp
-  sync-file-extention: tfw,tif
-#  sync-auto-exception-start-year: 2024
-#  sync-auto-exception-before-year-cnt: 3
-
-  #dataset-dir: D:/kamco-nfs/model_output/
-  dataset-dir: /kamco-nfs/model_output/export/        # 마운트경로 AI 추론결과
-  dataset-tmp-dir: ${file.dataset-dir}tmp/
-
-  #model-dir: D:/kamco-nfs/ckpt/model/
-  model-dir: /kamco-nfs/ckpt/model/                   # 학습서버에서 트레이닝한 모델업로드경로
-  model-tmp-dir: ${file.model-dir}tmp/
-  model-file-extention: pth,json,py
-
-  pt-path: /kamco-nfs/ckpt/model/v6-cls-checkpoints/
   pt-FileName: yolov8_6th-6m.pt
 
-  dataset-response: /kamco-nfs/dataset/response/
-
 inference:
+  nfs: /kamco-nfs
   url: http://192.168.2.183:8000/jobs
   batch-url: http://192.168.2.183:8000/batches
-  geojson-dir: /kamco-nfs/requests/                   # 추론실행을 위한 파일생성경로
+  jar-path: ${inference.nfs}/repo/jar/shp-exporter.jar
-  jar-path: /kamco-nfs/repo/jar/shp-exporter.jar
   inference-server-name: server1,server2,server3,server4
 
 gukyuin:
@@ -126,9 +107,6 @@ gukyuin:
   url: http://192.168.2.129:5301
   cdi: ${gukyuin.url}/api/kcd/cdi
 
-training-data:
-  geojson-dir: /kamco-nfs/dataset/request/
-
 layer:
   geoserver-url: https://kamco.geo-dev.gs.dabeeo.com
   wms-path: geoserver/cd

src/main/resources/application-local.yml

@@ -67,34 +67,17 @@ mapsheet:
   shp:
     baseurl: /Users/bokmin/detect/result
 
-
-
 file:
-  sync-root-dir: C:/Users/gypark/kamco-nfs/images/
+  root: kamco-nfs
-  #sync-root-dir: /kamco-nfs/images/
+  nfs: C:/Users/gypark/kamco-nfs
-  sync-tmp-dir: ${file.sync-root-dir}/tmp/
+  pt-path: ${file.nfs}/ckpt/classification/
-  sync-file-extention: tfw,tif
-#  sync-auto-exception-start-year: 2025
-#  sync-auto-exception-before-year-cnt: 3
-
-  dataset-dir: C:/Users/gypark/kamco-nfs/dataset/
-  #dataset-dir: /kamco-nfs/dataset/export/
-  dataset-tmp-dir: ${file.dataset-dir}tmp/
-
-  model-dir: C:/Users/gypark/kamco-nfs/ckpt/model/
-  #model-dir: /kamco-nfs/ckpt/model/
-  model-tmp-dir: ${file.model-dir}tmp/
-  model-file-extention: pth,json,py
-
-  pt-path: /kamco-nfs/ckpt/classification/
   pt-FileName: v5-best.pt
-  dataset-response: /kamco-nfs/dataset/response/
 
 inference:
+  nfs: C:/Users/gyparkkamco-nfs
   url: http://10.100.0.11:8000/jobs
   batch-url: http://10.100.0.11:8000/batches
-  geojson-dir: /kamco-nfs/requests/
+  jar-path: jar/shp-exporter.jar
-  jar-path: jar/makeshp-1.0.0.jar
   inference-server-name: server1,server2,server3,server4
 
 gukyuin:
@@ -102,9 +85,6 @@ gukyuin:
   url: http://192.168.2.129:5301
   cdi: ${gukyuin.url}/api/kcd/cdi
 
-training-data:
-  geojson-dir: /kamco-nfs/model_output/labeling/
-
 layer:
   geoserver-url: https://kamco.geo-dev.gs.dabeeo.com
   wms-path: geoserver/cd

src/main/resources/application-prod.yml

@@ -84,36 +84,23 @@ mapsheet:
     baseurl: /app/detect/result #현재사용안함
 
 file:
-  sync-root-dir: /kamco-nfs/images/
+  root: data
-  sync-tmp-dir: /kamco-nfs/repo/tmp       # image upload temp dir
+  nfs: /data
-  sync-file-extention: tfw,tif
+  pt-path: ${file.nfs}/ckpt/model/v6-cls-checkpoints/
-
-  #dataset-dir: D:/kamco-nfs/model_output/ #변경 model_output
-  dataset-dir: /kamco-nfs/model_output/export/  # 마운트경로 AI 추론결과
-  dataset-tmp-dir: ${file.dataset-dir}tmp/
-
-  #model-dir: D:/kamco-nfs/ckpt/model/
-  model-dir: /kamco-nfs/ckpt/model/             # 학습서버에서 트레이닝한 모델업로드경로
-  model-tmp-dir: ${file.model-dir}tmp/
-  model-file-extention: pth,json,py
-
-  pt-path: /kamco-nfs/ckpt/v6-cls-checkpoints/
   pt-FileName: yolov8_6th-6m.pt
-  dataset-response: /kamco-nfs/dataset/response/
 
 inference:
-  url: http://127.0.0.1:8000/jobs
+  nfs: /data
-  batch-url: http://127.0.0.1:8000/batches
+  url: http://172.16.4.56:8000/jobs
-  geojson-dir: /kamco-nfs/requests/                 # 학습서버에서 트레이닝한 모델업로드경로
+  batch-url: http://172.16.4.56:8000/batches
-  jar-path: /kamco-nfs/repo/jar/shp-exporter.jar    # 추론실행을 위한 파일생성경로
+  jar-path: ${inference.nfs}/repo/jar/shp-exporter.jar
   inference-server-name: server1,server2,server3,server4
 
 gukyuin:
   url: http://127.0.0.1:5301
   cdi: ${gukyuin.url}/api/kcd/cdi
 
-training-data:
+
-  geojson-dir: /kamco-nfs/dataset/request/
 
 layer:
   geoserver-url: https://kamco.geo-dev.gs.dabeeo.com

src/main/resources/application.yml

@@ -67,3 +67,22 @@ management:
         include:
           - "health"
 
+file:
+  root: kamco-nfs
+  nfs: /kamco-nfs
+  sync-root-dir: ${file.nfs}/images/
+  sync-tmp-dir: ${file.nfs}/requests/temp              # image upload temp dir
+  sync-file-extention: tfw,tif
+  dataset-dir: ${file.nfs}/model_output/export/        # 마운트경로 AI 추론결과
+  dataset-tmp-dir: ${file.dataset-dir}tmp/
+  model-dir: ${file.nfs}/ckpt/model/                   # 학습서버에서 트레이닝한 모델업로드경로
+  model-tmp-dir: ${file.model-dir}tmp/
+  model-file-extention: pth,json,py
+  pt-path: ${file.nfs}/ckpt/model/v6-cls-checkpoints/
+  dataset-response: ${file.nfs}/dataset/response/
+  training-data:
+    geojson-dir: ${file.nfs}/dataset/request/
+inference:
+  nfs: /kamco-nfs
+  geojson-dir: ${inference.nfs}/requests/                   # 추론실행을 위한 파일생성경로
+  jar-path: ${inference.nfs}/repo/jar/shp-exporter.jar