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) {
-    return getFolderAll(dirPath, "name", 1);
+  public static List<Folder> getFolderAll(String dirPath, String nfsRootDir) {
+    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("${file.dataset-dir}")
-  private String datasetDir;
+  @Value("${file.nfs}")
+  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("/kamco-nfs/dataset/export/" + 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("/kamco-nfs/dataset/export/" + 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/InferenceResultDto.java

@@ -246,15 +246,15 @@ public class InferenceResultDto {
     @NotBlank
     private String title;
 
-    @Schema(description = "G1", example = "b40e0f68-c1d8-49fc-93f9-a36270093861")
+    @Schema(description = "G1", example = "643adead-f3d2-4f10-9037-862bee919399")
     @NotNull
     private UUID model1Uuid;
 
-    @Schema(description = "G2", example = "ec92b7d2-b5a3-4915-9bdf-35fb3ca8ad27")
+    @Schema(description = "G2", example = "dd86b4ef-28e3-4e3d-9ee4-f60d9cb54e13")
     @NotNull
     private UUID model2Uuid;
 
-    @Schema(description = "G3", example = "37f45782-8ccf-4cf6-911c-a055a1510d39")
+    @Schema(description = "G3", example = "58c1153e-dec6-4424-82a1-189083a9d9dc")
     @NotNull
     private UUID model3Uuid;
 

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

@@ -5,8 +5,10 @@ import lombok.Getter;
 import lombok.NoArgsConstructor;
 import lombok.Setter;
 import lombok.ToString;
+import lombok.extern.slf4j.Slf4j;
 
 /** AI API 추론 실행 DTO */
+@Slf4j
 @Getter
 @Setter
 @NoArgsConstructor
@@ -23,14 +25,6 @@ public class InferenceSendDto {
   private String cd_model_type;
   private Double priority;
 
-  public String getCd_model_path() {
-    return cd_model_path==null?null:cd_model_path.replace("kamcd-nfs", "data");
-  }
-
-  public String getCls_model_path() {
-    return cls_model_path==null?null:cls_model_path.replace("kamcd-nfs", "data");
-  }
-
   @Getter
   @Setter
   @AllArgsConstructor
@@ -42,14 +36,5 @@ public class InferenceSendDto {
     private Integer input2_year;
     private String input1_scene_path;
     private String input2_scene_path;
-
-    public String getInput1_scene_path() {
-
-      return input1_scene_path==null?null:input1_scene_path.replace("kamcd-nfs", "data");
-    }
-
-    public String getInput2_scene_path() {
-      return input2_scene_path==null?null:input2_scene_path.replace("kamcd-nfs", "data");
-    }
   }
 }

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

@@ -47,14 +47,12 @@ import java.util.ArrayList;
 import java.util.Comparator;
 import java.util.HashMap;
 import java.util.HashSet;
-import java.util.LinkedHashMap;
 import java.util.List;
 import java.util.Map;
 import java.util.Objects;
 import java.util.Optional;
 import java.util.Set;
 import java.util.UUID;
-import java.util.function.Function;
 import java.util.stream.Collectors;
 import lombok.RequiredArgsConstructor;
 import lombok.extern.log4j.Log4j2;
@@ -67,6 +65,7 @@ import org.springframework.http.MediaType;
 import org.springframework.stereotype.Service;
 import org.springframework.transaction.annotation.Transactional;
 
+/** 추론 관리 */
 @Service
 @Log4j2
 @RequiredArgsConstructor
@@ -120,6 +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())) {
@@ -135,8 +140,10 @@ public class InferenceResultService {
    * @return
    */
   public UUID runExcl(InferenceResultDto.RegReq req) {
+    // target 도엽  조회
     List<MngListDto> targetDtoList = mapSheetMngCoreService.getHstMapSheetList(req);
 
+    // target  리스트 추출 (null 제거 + 중복 제거)
     List<String> targetList =
         targetDtoList.stream()
             .map(MngListDto::getMapSheetNum)
@@ -144,32 +151,46 @@ public class InferenceResultService {
             .distinct()
             .toList();
 
+    // compare 도엽번호 리스트 조회 (null 제거 + 중복 제거)
     List<String> compareList =
         mapSheetMngCoreService.getMapSheetNumByHst(req.getCompareYyyy()).stream()
             .filter(Objects::nonNull)
             .distinct()
             .toList();
 
+    // compare 기준
     Set<String> compareSet = new HashSet<>(compareList);
+
+    // target 기준으로 compare에 존재하는 도엽만 필터링
     List<String> filteredTargetList = targetList.stream().filter(compareSet::contains).toList();
 
+    // 도엽 비교 로그 출력
     logYearComparison(targetList, compareList, filteredTargetList);
 
+    // compare geojson 파일 생성
     Scene compareScene =
         getSceneInference(
-            req.getCompareYyyy().toString(),
-            filteredTargetList,
-            req.getMapSheetScope(),
-            req.getDetectOption());
+            req.getCompareYyyy().toString(), // 기준년도
+            filteredTargetList, // 교집합 도엽
+            req.getMapSheetScope(), // ALL / 부분
+            req.getDetectOption()); // EXCL / PREV
 
+    // target geojson 파일 생성
     Scene targetScene =
         getSceneInference(
-            req.getTargetYyyy().toString(),
-            filteredTargetList,
+            req.getTargetYyyy().toString(), // 대상년도
+            filteredTargetList, // 교집합 도엽
             req.getMapSheetScope(),
             req.getDetectOption());
 
-    return executeInference(req, targetDtoList, filteredTargetList, compareScene, targetScene);
+    // 추론 실행
+    return executeInference(
+        req,
+        targetDtoList, // 전체 target 목록
+        filteredTargetList, // 최종 추론 대상
+        compareScene, // compare geojson
+        targetScene // target geojson
+        );
   }
 
   /**
@@ -180,8 +201,10 @@ public class InferenceResultService {
    */
   @Transactional
   public UUID runPrev(InferenceResultDto.RegReq req) {
+    // target 목록 조회
     List<MngListDto> targetDtoList = mapSheetMngCoreService.getHstMapSheetList(req);
 
+    // target 도엽번호 리스트 추출 중복 제거
     List<String> targetList =
         targetDtoList.stream()
             .map(MngListDto::getMapSheetNum)
@@ -189,54 +212,60 @@ public class InferenceResultService {
             .distinct()
             .toList();
 
-    Set<String> targetSet = new HashSet<>(targetList);
-
+    // compare 목록 조회
     List<MapSheetFallbackYearDto> compareDtoList =
         new ArrayList<>(mapSheetMngCoreService.getMapSheetNumDtoByHst(req.getCompareYyyy()));
 
+    // compare 도엽번호 Set 구성
     Set<String> compareSet =
         compareDtoList.stream()
             .map(MapSheetFallbackYearDto::getMapSheetNum)
             .filter(Objects::nonNull)
             .collect(Collectors.toSet());
 
+    // target에는 있으나 compare에는 없는 도엽 추출
     List<String> remainingTargetList =
         targetList.stream().filter(s -> !compareSet.contains(s)).toList();
 
+    // compare에 없을때 이전 년도 사용 가능여부 조회
     List<MapSheetFallbackYearDto> fallbackYearDtoList =
         mapSheetMngCoreService.findFallbackCompareYearByMapSheets(
-            req.getTargetYyyy(), remainingTargetList);
+            req.getTargetYyyy(), // 대상년도 기준
+            remainingTargetList // compare에 없는 도엽들
+            );
 
+    // 기존 compare , 사용가능 이전년도 정보 합치기
     compareDtoList.addAll(fallbackYearDtoList);
 
-    // mapSheetNum 기준 중복 제거(기존 compare 우선)
-    compareDtoList =
-        new ArrayList<>(
-            compareDtoList.stream()
-                .filter(d -> d.getMapSheetNum() != null)
-                .collect(
-                    Collectors.toMap(
-                        MapSheetFallbackYearDto::getMapSheetNum,
-                        Function.identity(),
-                        (existing, replacement) -> existing,
-                        LinkedHashMap::new))
-                .values());
-
+    // 중복제거하여 사용할 compare 도엽 목록
     Set<String> availableCompareSheets =
         compareDtoList.stream()
             .map(MapSheetFallbackYearDto::getMapSheetNum)
             .filter(Objects::nonNull)
             .collect(Collectors.toSet());
 
+    // 최종 추론 대상 도엽
+    // target 기준으로 compare 에 존재하는 도엽만 추출
     List<String> filteredTargetList =
         targetList.stream().filter(availableCompareSheets::contains).toList();
 
+    // compareDtoList도 최종 기준으로 필터
+    Set<String> filteredTargetSet = new HashSet<>(filteredTargetList);
+
+    List<MapSheetFallbackYearDto> filteredCompareDtoList =
+        compareDtoList.stream()
+            .filter(d -> d.getMapSheetNum() != null)
+            .filter(d -> filteredTargetSet.contains(d.getMapSheetNum()))
+            .toList();
+
+    // compare only 계산 (target에는 없는 compare 도엽 수) log 용
     long compareOnlyCount =
         compareDtoList.stream()
             .map(MapSheetFallbackYearDto::getMapSheetNum)
-            .filter(s -> s != null && !targetSet.contains(s))
+            .filter(s -> s != null && !targetList.contains(s))
             .count();
 
+    // 연도별 도엽 비교 로그 출력
     log.info(
         """
     ===== MapSheet Year Comparison =====
@@ -247,20 +276,13 @@ public class InferenceResultService {
     compare Only: {}
     ====================================
     """,
-        targetList.size(),
-        compareDtoList.size(),
-        filteredTargetList.size(),
-        targetList.size() - filteredTargetList.size(),
-        compareOnlyCount);
-
-    // compareDtoList도 filteredTargetList 기준으로 필터
-    Set<String> filteredTargetSet = new HashSet<>(filteredTargetList);
-    List<MapSheetFallbackYearDto> filteredCompareDtoList =
-        compareDtoList.stream()
-            .filter(d -> d.getMapSheetNum() != null)
-            .filter(d -> filteredTargetSet.contains(d.getMapSheetNum()))
-            .toList();
+        targetList.size(), // target count
+        compareDtoList.size(), // compare count
+        filteredTargetList.size(), // target 기준으로 compare 비교하여 최종 추론할 도엽 count
+        targetList.size() - filteredTargetList.size(), // compare에 존재하지 않는 target 도엽 수
+        compareOnlyCount); // target 에 존재하지 않는 compare 도엽수
 
+    // compare 기준 geojson 생성 (년도 fallback 반영)
     Scene compareScene =
         getSceneInference(
             filteredCompareDtoList,
@@ -268,6 +290,7 @@ public class InferenceResultService {
             req.getMapSheetScope(),
             req.getDetectOption());
 
+    // target 기준 geojson 생성
     Scene targetScene =
         getSceneInference(
             req.getTargetYyyy().toString(),
@@ -275,6 +298,7 @@ public class InferenceResultService {
             req.getMapSheetScope(),
             req.getDetectOption());
 
+    // AI 추론 실행
     return executeInference(req, targetDtoList, filteredTargetList, compareScene, targetScene);
   }
 
@@ -355,11 +379,11 @@ public class InferenceResultService {
     compare Only: {}
     ====================================
     """,
-        targetList.size(),
-        compareList.size(),
-        filteredTargetList.size(),
-        targetList.size() - filteredTargetList.size(),
-        compareOnlyCount);
+        targetList.size(), // target count
+        compareList.size(), // compare count
+        filteredTargetList.size(), // target 기준으로 compare 비교하여 최종 추론할 도엽 count
+        targetList.size() - filteredTargetList.size(), // compare에 존재하지 않는 target 도엽 수
+        compareOnlyCount); // target 에 존재하지 않는 compare 도엽수
   }
 
   /**
@@ -569,10 +593,11 @@ public class InferenceResultService {
   }
 
   /**
-   * 추론 AI API 호출
+   * 추론 AI API 호출 batch id를 리턴
    *
    * @param dto
    */
+  // 같은함수가 왜 두개지
   private Long ensureAccepted(InferenceSendDto dto) {
 
     if (dto == null) {
@@ -580,6 +605,14 @@ public class InferenceResultService {
       throw new CustomApiException("BAD_REQUEST", HttpStatus.BAD_REQUEST);
     }
 
+    // [중복]운영환경일때 경로수정 dean 260226
+    if (profile != null && profile.equals("prod")) {
+      log.info("========================================================");
+      log.info("[CHANGE INFERENCE] profile = {}  Inforence req", profile);
+      log.info("========================================================");
+      log.info("");
+    }
+
     // 1) 요청 로그
     try {
       log.debug("Inference request dto={}", objectMapper.writeValueAsString(dto));
@@ -588,19 +621,22 @@ public class InferenceResultService {
     }
 
     // 2) local 환경 임시 처리
-    if ("local".equals(profile)) {
-      if (dto.getPred_requests_areas() == 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");
-    }
+    //    if ("local".equals(profile)) {
+    //      if (dto.getPred_requests_areas() == 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");
+    //    }
 
     // 3) HTTP 호출
     HttpHeaders headers = new HttpHeaders();
     headers.setContentType(MediaType.APPLICATION_JSON);
     headers.setAccept(List.of(MediaType.APPLICATION_JSON));
 
+    // 추론 실행 API 호출
     ExternalCallResult<String> result =
         externalHttpClient.call(inferenceUrl, HttpMethod.POST, dto, headers, String.class);
 
@@ -615,12 +651,14 @@ public class InferenceResultService {
           objectMapper.readValue(result.body(), new TypeReference<>() {});
 
       if (list.isEmpty()) {
-        throw new IllegalStateException("Inference response is empty");
+        throw new CustomApiException(
+            "NOT_FOUND", HttpStatus.NOT_FOUND, "Inference response is empty");
       }
 
       Object batchIdObj = list.get(0).get("batch_id");
       if (batchIdObj == null) {
-        throw new IllegalStateException("batch_id not found in response");
+        throw new CustomApiException(
+            "NOT_FOUND", HttpStatus.NOT_FOUND, "batch_id not found in response");
       }
 
       return Long.valueOf(batchIdObj.toString());
@@ -639,6 +677,7 @@ public class InferenceResultService {
    */
   private InferenceSendDto getModelInfo(UUID uuid) {
 
+    // 모델정보 조회
     Basic modelInfo = modelMngCoreService.findByModelUuid(uuid);
 
     String cdModelPath = "";
@@ -678,6 +717,7 @@ public class InferenceResultService {
     sendDto.setCls_model_version(modelInfo.getModelVer());
     sendDto.setCd_model_type(modelType);
     sendDto.setPriority(5d);
+    log.info("[Inference Send]SendDto={}", sendDto);
     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/core/InferenceResultCoreService.java

@@ -369,6 +369,12 @@ public class InferenceResultCoreService {
     return mapSheetLearnRepository.getInferenceServerStatusList();
   }
 
+  /**
+   * 진행중 배치 조회
+   *
+   * @param status
+   * @return
+   */
   public InferenceBatchSheet getInferenceResultByStatus(String status) {
     MapSheetLearnEntity entity =
         mapSheetLearnRepository.getInferenceResultByStatus(status).orElse(null);
@@ -403,6 +409,12 @@ public class InferenceResultCoreService {
     return mapSheetLearnRepository.getInferenceAiResultById(id, modelUuid);
   }
 
+  /**
+   * 추론 진행 현황 상세
+   *
+   * @param uuid
+   * @return
+   */
   public InferenceStatusDetailDto getInferenceStatus(UUID uuid) {
     return mapSheetLearnRepository.getInferenceStatus(uuid);
   }

src/main/java/com/kamco/cd/kamcoback/postgres/core/MapSheetMngCoreService.java

@@ -27,7 +27,6 @@ import java.nio.file.Paths;
 import java.time.ZonedDateTime;
 import java.util.ArrayList;
 import java.util.Arrays;
-import java.util.HashMap;
 import java.util.List;
 import java.util.Map;
 import java.util.Objects;
@@ -236,84 +235,22 @@ public class MapSheetMngCoreService {
   }
 
   /**
-   * 추론 실행에 필요한 geojson 파일 생성
+   * geojson 생성
    *
-   * @param yyyy 영상관리 파일별 년도
-   * @param scenes 5k 도엽 번호 리스트
-   * @param mapSheetScope EXCL : 추론제외, PREV 이전 년도 도엽 사용
+   * @param yyyy
+   * @param scenes
+   * @param mapSheetScope
+   * @param detectOption
    * @return
    */
   public Scene getSceneInference(
       String yyyy, List<String> scenes, String mapSheetScope, String detectOption) {
-
-    Map<String, Object> result = new HashMap<>();
-    boolean isAll = MapSheetScope.ALL.getId().equals(mapSheetScope);
-
-    String optionSuffix = "";
-    if (DetectOption.EXCL.getId().equals(detectOption)) {
-      optionSuffix = "_EXCL";
-    } else if (DetectOption.PREV.getId().equals(detectOption)) {
-      optionSuffix = "_PREV";
-    }
-
-    // 1) 경로/파일명 결정
-    String targetDir =
-        "local".equals(activeEnv) ? System.getProperty("user.home") + "/geojson" : inferenceDir;
-
-    String filename =
-        isAll
-            ? String.format("%s_%s_ALL%s.geojson", yyyy, activeEnv, optionSuffix)
-            : String.format("%s_%s%s.geojson", yyyy, activeEnv, optionSuffix);
-
-    Path outputPath = Paths.get(targetDir, filename);
-
-    // 2) ALL일 때만 재사용
-    //    if (isAll && Files.exists(outputPath)) {
-    //      return outputPath.toString();
-    //    }
-
-    // 3) 데이터 조회
-    List<ImageFeature> sceneInference = mapSheetMngRepository.getSceneInference(yyyy, scenes);
-
-    if (sceneInference == null || sceneInference.isEmpty()) {
-      log.warn(
-          "NOT_FOUND_TARGET_YEAR: yyyy={}, isAll={}, scenesSize={}",
-          yyyy,
-          isAll,
-          scenes == null ? 0 : scenes.size());
-      throw new CustomApiException("NOT_FOUND_TARGET_YEAR", HttpStatus.NOT_FOUND);
-    }
-
-    // 4) 파일 생성
-    try {
-      log.info("create Directories outputPath: {}", outputPath);
-      log.info(
-          "activeEnv={}, inferenceDir={}, targetDir={}, filename={}",
-          activeEnv,
-          inferenceDir,
-          targetDir,
-          filename);
-      log.info("outputPath={}, parent={}", outputPath.toAbsolutePath(), outputPath.getParent());
-      Files.createDirectories(outputPath.getParent());
-
-      new GeoJsonFileWriter()
-          .exportToFile(sceneInference, "scene_inference_" + yyyy, 5186, outputPath.toString());
-      log.info("GeoJsonFileWriter: {}", "scene_inference_" + yyyy);
-      Scene scene = new Scene();
-      scene.setFeatures(sceneInference);
-      scene.setFilePath(outputPath.toString());
-
-      return scene;
-
-    } catch (IOException e) {
-      log.error(
-          "FAIL_CREATE_MAP_SHEET_FILE: yyyy={}, isAll={}, path={}", yyyy, isAll, outputPath, e);
-      throw new CustomApiException("INTERNAL_SERVER_ERROR", HttpStatus.INTERNAL_SERVER_ERROR, e);
-    }
+    List<ImageFeature> features = loadSceneInferenceBySheets(yyyy, scenes);
+    return writeSceneGeoJson(yyyy, mapSheetScope, detectOption, features);
   }
 
   /**
-   * 년도별로 추론 실행에 필요한 geojson 파일 생성
+   * geojson 생성
    *
    * @param yearDtos
    * @param yyyy
@@ -326,17 +263,24 @@ public class MapSheetMngCoreService {
       String yyyy,
       String mapSheetScope,
       String detectOption) {
-    Map<String, Object> result = new HashMap<>();
-    boolean isAll = MapSheetScope.ALL.getId().equals(mapSheetScope);
-
-    String optionSuffix = "";
-    if (DetectOption.EXCL.getId().equals(detectOption)) {
-      optionSuffix = "_EXCL";
-    } else if (DetectOption.PREV.getId().equals(detectOption)) {
-      optionSuffix = "_PREV";
+    List<ImageFeature> features = loadSceneInferenceByFallbackYears(yearDtos);
+    return writeSceneGeoJson(yyyy, mapSheetScope, detectOption, features);
   }
 
-    // 1) 경로/파일명 결정
+  /**
+   * 파일 경로/이름 , 파일 생성 , 도엽번호 반환
+   *
+   * @param yyyy
+   * @param mapSheetScope
+   * @param detectOption
+   * @param sceneInference
+   * @return Scene
+   */
+  private Scene writeSceneGeoJson(
+      String yyyy, String mapSheetScope, String detectOption, List<ImageFeature> sceneInference) {
+    boolean isAll = MapSheetScope.ALL.getId().equals(mapSheetScope);
+    String optionSuffix = buildOptionSuffix(detectOption);
+
     String targetDir =
         "local".equals(activeEnv) ? System.getProperty("user.home") + "/geojson" : inferenceDir;
 
@@ -347,33 +291,11 @@ public class MapSheetMngCoreService {
 
     Path outputPath = Paths.get(targetDir, filename);
 
-    // 3) 데이터 조회
-    Map<Integer, List<MapSheetFallbackYearDto>> groupedByYear =
-        yearDtos.stream().collect(Collectors.groupingBy(MapSheetFallbackYearDto::getMngYyyy));
-
-    List<ImageFeature> sceneInference = new ArrayList<>();
-
-    // 년도별로 루프 돌리기
-    for (Map.Entry<Integer, List<MapSheetFallbackYearDto>> entry : groupedByYear.entrySet()) {
-
-      Integer compareYear = entry.getKey();
-      List<MapSheetFallbackYearDto> listByYear = entry.getValue();
-
-      // 도엽번호만 추출
-      List<String> sheetNums =
-          listByYear.stream().map(MapSheetFallbackYearDto::getMapSheetNum).toList();
-
-      List<ImageFeature> tempSceneInference =
-          mapSheetMngRepository.getSceneInference(compareYear.toString(), sheetNums);
-      tempSceneInference.addAll(sceneInference);
-    }
-
     if (sceneInference == null || sceneInference.isEmpty()) {
-      log.warn("NOT_FOUND_TARGET_YEAR: yyyy={}, isAll={}, scenesSize={}", yyyy, isAll, 0);
+      log.warn("NOT_FOUND_TARGET_YEAR: yyyy={}, isAll={}, featuresSize={}", yyyy, isAll, 0);
       throw new CustomApiException("NOT_FOUND_TARGET_YEAR", HttpStatus.NOT_FOUND);
     }
 
-    // 4) 파일 생성
     try {
       log.info("create Directories outputPath: {}", outputPath);
       log.info(
@@ -383,15 +305,15 @@ public class MapSheetMngCoreService {
           targetDir,
           filename);
       log.info("outputPath={}, parent={}", outputPath.toAbsolutePath(), outputPath.getParent());
+
       Files.createDirectories(outputPath.getParent());
 
       new GeoJsonFileWriter()
           .exportToFile(sceneInference, "scene_inference_" + yyyy, 5186, outputPath.toString());
-      log.info("GeoJsonFileWriter: {}", "scene_inference_" + yyyy);
+
       Scene scene = new Scene();
       scene.setFeatures(sceneInference);
       scene.setFilePath(outputPath.toString());
-
       return scene;
 
     } catch (IOException e) {
@@ -401,6 +323,80 @@ public class MapSheetMngCoreService {
     }
   }
 
+  /**
+   * geojson 파일명 Suffix
+   *
+   * @param detectOption
+   * @return
+   */
+  private String buildOptionSuffix(String detectOption) {
+    if (DetectOption.EXCL.getId().equals(detectOption)) return "_EXCL";
+    if (DetectOption.PREV.getId().equals(detectOption)) return "_PREV";
+    return "";
+  }
+
+  /**
+   * 년도, 도엽번호로 조회
+   *
+   * @param yyyy
+   * @param scenes
+   * @return ImageFeature
+   */
+  private List<ImageFeature> loadSceneInferenceBySheets(String yyyy, List<String> scenes) {
+    List<ImageFeature> sceneInference = mapSheetMngRepository.getSceneInference(yyyy, scenes);
+
+    if (sceneInference == null || sceneInference.isEmpty()) {
+      log.warn(
+          "NOT_FOUND_TARGET_YEAR: yyyy={}, scenesSize={}",
+          yyyy,
+          scenes == null ? 0 : scenes.size());
+      throw new CustomApiException("NOT_FOUND_TARGET_YEAR", HttpStatus.NOT_FOUND);
+    }
+    return sceneInference;
+  }
+
+  /**
+   * 년도별로 나눠 조회
+   *
+   * @param yearDtos
+   * @return ImageFeature
+   */
+  private List<ImageFeature> loadSceneInferenceByFallbackYears(
+      List<MapSheetFallbackYearDto> yearDtos) {
+    if (yearDtos == null || yearDtos.isEmpty()) {
+      return List.of();
+    }
+
+    // 년도 별로 루프를 돌리기위해 년도별 정리
+    Map<Integer, List<MapSheetFallbackYearDto>> groupedByYear =
+        yearDtos.stream()
+            .filter(d -> d.getMngYyyy() != null && d.getMapSheetNum() != null)
+            .collect(Collectors.groupingBy(MapSheetFallbackYearDto::getMngYyyy));
+
+    List<ImageFeature> sceneInference = new ArrayList<>();
+
+    for (Map.Entry<Integer, List<MapSheetFallbackYearDto>> entry : groupedByYear.entrySet()) {
+      Integer year = entry.getKey();
+
+      // 년도별 mapSheetNum 만들기
+      List<String> sheetNums =
+          entry.getValue().stream()
+              .map(MapSheetFallbackYearDto::getMapSheetNum)
+              .filter(Objects::nonNull)
+              .distinct()
+              .toList();
+
+      // tif파일 정보 조회
+      List<ImageFeature> temp = mapSheetMngRepository.getSceneInference(year.toString(), sheetNums);
+
+      if (temp != null && !temp.isEmpty()) {
+        sceneInference.addAll(temp);
+      }
+    }
+
+    return sceneInference;
+  }
+
   /**
    * 변화탐지 실행 가능 기준 년도 조회
    *
@@ -440,6 +436,12 @@ public class MapSheetMngCoreService {
     return entity.stream().map(MapSheetMngHstEntity::getMapSheetNum).toList();
   }
 
+  /**
+   * 특정 연도의 도엽 이력 데이터를 조회
+   *
+   * @param year
+   * @return
+   */
   public List<MapSheetFallbackYearDto> getMapSheetNumDtoByHst(Integer year) {
     List<MapSheetMngHstEntity> entity = mapSheetMngRepository.getMapSheetMngHst(year);
     return entity.stream()

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

@@ -18,29 +18,99 @@ import org.springframework.data.domain.Page;
 
 public interface MapSheetLearnRepositoryCustom {
 
+  /**
+   * 추론 관리 목록 조회
+   *
+   * @param req 추론관리 목록 화면 조회 조건
+   * @return 추론 관리 목록
+   */
   Page<MapSheetLearnEntity> getInferenceMgnResultList(InferenceResultDto.SearchListReq req);
 
+  /**
+   * uuid 조건으로 추론 실행 정보 조회
+   *
+   * @param uuid uuid
+   * @return 추론 실행 정보
+   */
   Optional<MapSheetLearnEntity> getInferenceResultByUuid(UUID uuid);
 
+  /**
+   * 추론 실행중 서버정보 조회 cpu, gpu
+   *
+   * @return cpu, gpu 정보
+   */
   List<InferenceServerStatusDto> getInferenceServerStatusList();
 
+  /**
+   * 추론 실행 목록 진행 상태별 조회
+   *
+   * @param status 추론 진행 상태
+   * @return 추론 실행 정보
+   */
   Optional<MapSheetLearnEntity> getInferenceResultByStatus(String status);
 
+  /**
+   * 등록된 추론 실행목록 및 등록된 모델 정보 조회
+   *
+   * @param id 추론 실행 테이블 id
+   * @param modelUuid 모델 uuid
+   * @return 모델 정보
+   */
   InferenceProgressDto getInferenceAiResultById(Long id, UUID modelUuid);
 
+  /**
+   * 진행중인 추론 정보 상세 조회
+   *
+   * @param uuid 추론진행 uuid
+   * @return 진행중인 추론정보 상세 정보
+   */
   InferenceStatusDetailDto getInferenceStatus(UUID uuid);
 
+  /**
+   * 진행중인 추론이 있는지 조회
+   *
+   * @return 진행중인 추론 정보
+   */
   MapSheetLearnEntity getProcessing();
 
-  Integer getLearnStage(Integer compareYear, Integer targetYear);
-
+  /**
+   * 추론 결과 정보 조회
+   *
+   * @param uuid 추론 uuid
+   * @return 추론 결과 및 사용 모델 정보
+   */
   AnalResultInfo getInferenceResultInfo(UUID uuid);
 
+  /**
+   * 추론 결과 bbox, point 조회
+   *
+   * @param uuid 추론 uuid
+   * @return bbox, pont 정보
+   */
   BboxPointDto getBboxPoint(UUID uuid);
 
+  /**
+   * 분류별 탐지건수 조회
+   *
+   * @param uuid 추론 uuid
+   * @return 분류별 탐지건수 정보
+   */
   List<Dashboard> getInferenceClassCountList(UUID uuid);
 
+  /**
+   * 추론 결과 상세 geom 목록 조회
+   *
+   * @param uuid 추론 uuid
+   * @param searchGeoReq 추론 결과 상세화면 geom 조회 조건
+   * @return geom 목록 정보
+   */
   Page<Geom> getInferenceGeomList(UUID uuid, SearchGeoReq searchGeoReq);
 
+  /**
+   * 국유in연동 가능여부 확인 조회
+   *
+   * @param uuid 추론 uuid
+   * @return 추론 존재여부, 부분도엽 여부, 추론 진행중 여부, 국유인 작업 진행중 여부
+   */
   GukYuinLinkFacts findLinkFacts(UUID uuid);
 }

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");
@@ -528,6 +510,7 @@ public class MapSheetLearnRepositoryImpl implements MapSheetLearnRepositoryCusto
   @Override
   public GukYuinLinkFacts findLinkFacts(UUID uuid) {
 
+    // 해당 추론 있는지 확인
     MapSheetLearnEntity learn =
         queryFactory
             .selectFrom(QMapSheetLearnEntity.mapSheetLearnEntity)
@@ -538,12 +521,14 @@ public class MapSheetLearnRepositoryImpl implements MapSheetLearnRepositoryCusto
       return new GukYuinLinkFacts(false, false, false, false);
     }
 
+    // 부분 도엽 실행인지 확인
     boolean isPartScope = MapSheetScope.PART.getId().equals(learn.getMapSheetScope());
 
     QMapSheetAnalInferenceEntity inf = QMapSheetAnalInferenceEntity.mapSheetAnalInferenceEntity;
     QMapSheetLearnEntity learn2 = new QMapSheetLearnEntity("learn2");
     QMapSheetLearnEntity learnQ = QMapSheetLearnEntity.mapSheetLearnEntity;
 
+    // 실행중인 추론 있는지 확인
     boolean hasRunningInference =
         queryFactory
                 .selectOne()
@@ -557,6 +542,7 @@ public class MapSheetLearnRepositoryImpl implements MapSheetLearnRepositoryCusto
                 .fetchFirst()
             != null;
 
+    // 국유인 작업 진행중 있는지 확인
     boolean hasOtherUnfinishedGukYuin =
         queryFactory
                 .selectOne()

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

@@ -355,8 +355,7 @@ public class MapSheetInferenceJobService {
     m.setCls_model_version(progressDto.getClsModelVersion());
     m.setCd_model_type(type);
     m.setPriority(5d);
-
-    //    log.info("InferenceSendDto={}", m);
+    log.info("[BEFORE INFERENCE] BEFORE SendDto={}", m);
     // 추론 실행 api 호출
     Long batchId = ensureAccepted(m);
 
@@ -376,6 +375,7 @@ public class MapSheetInferenceJobService {
    * @param dto
    * @return
    */
+  // 같은함수가 왜 두개지
   private Long ensureAccepted(InferenceSendDto dto) {
     if (dto == null) {
       log.warn("not InferenceSendDto dto");
@@ -383,22 +383,28 @@ public class MapSheetInferenceJobService {
     }
 
     // 1) 요청 로그
-    log.info("Inference request dto={}", dto);
-
+    log.info("");
+    log.info("========================================================");
+    log.info("[SEND INFERENCE] Inference request dto= {}", dto);
+    log.info("========================================================");
+    log.info("");
     // 2) local 환경 임시 처리
-    if ("local".equals(profile)) {
-      if (dto.getPred_requests_areas() == 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");
-    }
+    //    if ("local".equals(profile)) {
+    //      if (dto.getPred_requests_areas() == 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");
+    //    }
 
     // 3) HTTP 호출
     HttpHeaders headers = new HttpHeaders();
     headers.setContentType(MediaType.APPLICATION_JSON);
     headers.setAccept(List.of(MediaType.APPLICATION_JSON));
 
+    // TODO 어떤 URL로 어떤파리티러로 요청한 로딩해야지
     ExternalCallResult<String> result =
         externalHttpClient.call(inferenceUrl, HttpMethod.POST, dto, headers, String.class);
 
@@ -413,6 +419,7 @@ public class MapSheetInferenceJobService {
           objectMapper.readValue(result.body(), new TypeReference<>() {});
 
       if (list.isEmpty()) {
+        // 어떤 URL로 어떤파리티러로 요청한 정보를 봐야 재현을 할듯하지요
         throw new IllegalStateException("Inference response is empty");
       }
 

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/
-  sync-root-dir: /kamco-nfs/images/
-  sync-tmp-dir: /kamco-nfs/requests/temp              # image upload temp dir
-  #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/
+  root: kamco-nfs
+  nfs: /kamco-nfs
+  pt-path: ${file.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: /kamco-nfs/repo/jar/shp-exporter.jar
+  jar-path: ${inference.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/
-  #sync-root-dir: /kamco-nfs/images/
-  sync-tmp-dir: ${file.sync-root-dir}/tmp/
-  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/
+  root: kamco-nfs
+  nfs: C:/Users/gypark/kamco-nfs
+  pt-path: ${file.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/makeshp-1.0.0.jar
+  jar-path: jar/shp-exporter.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/
-  sync-tmp-dir: /kamco-nfs/repo/tmp       # image upload temp dir
-  sync-file-extention: tfw,tif
-
-  #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/
+  root: data
+  nfs: /data
+  pt-path: ${file.nfs}/ckpt/model/v6-cls-checkpoints/
   pt-FileName: yolov8_6th-6m.pt
-  dataset-response: /kamco-nfs/dataset/response/
 
 inference:
-  url: http://127.0.0.1:8000/jobs
-  batch-url: http://127.0.0.1:8000/batches
-  geojson-dir: /kamco-nfs/requests/                 # 학습서버에서 트레이닝한 모델업로드경로
-  jar-path: /kamco-nfs/repo/jar/shp-exporter.jar    # 추론실행을 위한 파일생성경로
+  nfs: /data
+  url: http://172.16.4.56:8000/jobs
+  batch-url: http://172.16.4.56:8000/batches
+  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