merge develop

Reviewed-on: #100
Co-authored-by: dean[백병남] <byungnam.baek@dabeeo.com>
Co-committed-by: dean[백병남] <byungnam.baek@dabeeo.com>

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

@@ -279,13 +279,15 @@ 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);
 
     List<Folder> folderList = List.of();
 
-    log.info("[FIND_FOLDER] DIR : {} {} {} {}",dirPath,sortType,maxDepth,startPath);
+    log.info("[FIND_FOLDER] DIR : {} {} {} {}", dirPath, sortType, maxDepth, startPath);
 
     int childDirCount = getChildFolderCount(startPath.toFile());
     log.info("[FIND_FOLDER] START_PATH_CHILD_DIR_COUNT : {}", childDirCount);
@@ -294,8 +296,12 @@ public class FIleChecker {
       folderList =
           stream
               .filter(Files::isDirectory)
-            .filter(p -> !p.toAbsolutePath().normalize().equals(startPath.toAbsolutePath().normalize()))
+              .filter(
-            .map(
+                  p ->
+                      !p.toAbsolutePath()
+                          .normalize()
+                          .equals(startPath.toAbsolutePath().normalize()))
+              .map(
                   path -> {
                     int depth = path.getNameCount();
 
@@ -304,8 +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);
@@ -353,8 +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/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("/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/InferenceResultApiController.java

@@ -151,7 +151,7 @@ public class InferenceResultApiController {
           @RequestBody
           @Valid
           InferenceResultDto.RegReq req) {
-    UUID uuid = inferenceResultService.saveInferenceInfo(req);
+    UUID uuid = inferenceResultService.run(req);
     return ApiResponseDto.ok(uuid);
   }
 

src/main/java/com/kamco/cd/kamcoback/inference/InferenceRunController.java

@@ -0,0 +1,57 @@
+package com.kamco.cd.kamcoback.inference;
+
+import com.kamco.cd.kamcoback.config.api.ApiResponseDto;
+import com.kamco.cd.kamcoback.inference.service.InferenceRunService;
+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 lombok.extern.log4j.Log4j2;
+import org.springframework.web.bind.annotation.GetMapping;
+import org.springframework.web.bind.annotation.RequestMapping;
+import org.springframework.web.bind.annotation.RequestParam;
+import org.springframework.web.bind.annotation.RestController;
+
+@Tag(name = "추론 실행", description = "추론 실행")
+@Log4j2
+@RequestMapping("/api/inference/run")
+@RequiredArgsConstructor
+@RestController
+public class InferenceRunController {
+
+  private final InferenceRunService inferenceRunService;
+
+  @Operation(summary = "추론 진행 여부 확인", description = "어드민 홈 > 추론관리 > 추론관리 > 추론관리 목록")
+  @ApiResponses(
+      value = {
+        @ApiResponse(
+            responseCode = "200",
+            description = "검색 성공",
+            content =
+                @Content(
+                    mediaType = "application/json",
+                    schema =
+                        @Schema(
+                            description = "진행 여부 (UUID 있으면 진행중)",
+                            type = "UUID",
+                            example = "44709877-2e27-4fc5-bacb-8e0328c69b64"))),
+        @ApiResponse(responseCode = "400", description = "잘못된 검색 조건", content = @Content),
+        @ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
+      })
+  @GetMapping
+  public ApiResponseDto<Void> getProcessing(
+      @Parameter(description = "비교년도", example = "2021") @RequestParam(required = false)
+          Integer compareYear,
+      @Parameter(description = "기준년도", example = "2022") @RequestParam(required = false)
+          Integer targetYear,
+      @Parameter(description = "모델 uuid") @RequestParam(required = false) UUID modelUuid) {
+
+    inferenceRunService.run(compareYear, targetYear, modelUuid);
+    return ApiResponseDto.ok(null);
+  }
+}

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

@@ -1,10 +1,12 @@
 package com.kamco.cd.kamcoback.inference.dto;
 
 import com.kamco.cd.kamcoback.postgres.entity.InferenceResultsTestingEntity;
+import java.time.ZonedDateTime;
 import lombok.AllArgsConstructor;
 import lombok.Getter;
 import lombok.NoArgsConstructor;
 import lombok.Setter;
+import org.locationtech.jts.geom.Geometry;
 
 public class InferenceResultsTestingDto {
 
@@ -22,4 +24,31 @@ public class InferenceResultsTestingDto {
       return new ShpDto(e.getBatchId(), e.getUid(), e.getMapId());
     }
   }
+
+  @Getter
+  @Setter
+  @AllArgsConstructor
+  @NoArgsConstructor
+  public static class Basic {
+    private Double probability;
+    private Long beforeYear;
+    private Long afterYear;
+    private String mapId;
+    private String modelVersion;
+    private String clsModelPath;
+    private String clsModelVersion;
+    private String cdModelType;
+    private Long id;
+    private String modelName;
+    private Long batchId;
+    private Double area;
+    private String beforeC;
+    private Double beforeP;
+    private String afterC;
+    private Double afterP;
+    private Long seq;
+    private ZonedDateTime createdDate;
+    private String uid;
+    private Geometry geometry;
+  }
 }

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

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

@@ -0,0 +1,10 @@
+package com.kamco.cd.kamcoback.inference.service;
+
+import lombok.RequiredArgsConstructor;
+import org.springframework.web.bind.annotation.RequestMapping;
+import org.springframework.web.bind.annotation.RestController;
+
+@RestController
+@RequiredArgsConstructor
+@RequestMapping("/api/inference/manual")
+public class InferenceManualApiController {}

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

@@ -0,0 +1,22 @@
+package com.kamco.cd.kamcoback.inference.service;
+
+import com.kamco.cd.kamcoback.inference.dto.InferenceResultsTestingDto;
+import com.kamco.cd.kamcoback.postgres.core.InferenceResultCoreService;
+import java.util.List;
+import lombok.RequiredArgsConstructor;
+import org.springframework.stereotype.Service;
+
+@Service
+@RequiredArgsConstructor
+public class InferenceManualService {
+  private final InferenceResultCoreService inferenceResultCoreService;
+
+  public void getResultsTesting(List<Long> batchIds) {
+    List<InferenceResultsTestingDto.Basic> resultList =
+        inferenceResultCoreService.getInferenceResults(batchIds);
+
+    if (resultList.isEmpty()) {}
+
+    for (InferenceResultsTestingDto.Basic result : resultList) {}
+  }
+}

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

@@ -45,6 +45,7 @@ import java.time.ZonedDateTime;
 import java.util.ArrayList;
 import java.util.Comparator;
 import java.util.HashMap;
+import java.util.HashSet;
 import java.util.List;
 import java.util.Map;
 import java.util.Objects;
@@ -116,6 +117,124 @@ public class InferenceResultService {
     return dto.getUuid();
   }
 
+  @Transactional
+  public UUID run(InferenceResultDto.RegReq req) {
+    List<MngListDto> targetDtoList = mapSheetMngCoreService.getHstMapSheetList(req);
+    List<String> compareList = mapSheetMngCoreService.getMapSheetMngHst(req.getCompareYyyy());
+    List<String> targetList =
+        mapSheetMngCoreService.getHstMapSheetList(req).stream()
+            .map(MngListDto::getMapSheetNum)
+            .filter(Objects::nonNull)
+            .distinct()
+            .toList();
+
+    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(req.getCompareYyyy().toString(), filteredTargetList, "", "");
+
+    Scene modelTargetPath =
+        getSceneInference(req.getTargetYyyy().toString(), filteredTargetList, "", "");
+
+    // 작은 쪽 기준으로 탐지건수/파일생성 리스트 결정
+    List<ImageFeature> imageFeatureList;
+    if (modelComparePath.getFeatures().size() <= modelTargetPath.getFeatures().size()) {
+      imageFeatureList = modelComparePath.getFeatures();
+    } else {
+      imageFeatureList = modelTargetPath.getFeatures();
+    }
+
+    // imageFeatureList 기준 sceneId Set
+    Set<String> sceneIdSet =
+        imageFeatureList.stream()
+            .map(ImageFeature::getSceneId)
+            .filter(Objects::nonNull)
+            .collect(Collectors.toSet());
+
+    // targetList(List<MngListDto>) 리턴용으로 필터링
+    List<MngListDto> newTargetList =
+        targetDtoList.stream()
+            .filter(m -> m.getMapSheetNum() != null)
+            .filter(m -> sceneIdSet.contains(m.getMapSheetNum()))
+            .toList();
+
+    // 목록 및 추론 대상 도엽정보 저장
+    UUID uuid = inferenceResultCoreService.saveInferenceInfo(req, newTargetList);
+
+    // ai 서버에 전달할 파라미터 생성
+    pred_requests_areas predRequestsAreas = new pred_requests_areas();
+    predRequestsAreas.setInput1_year(req.getCompareYyyy());
+    predRequestsAreas.setInput2_year(req.getTargetYyyy());
+    predRequestsAreas.setInput1_scene_path(modelComparePath.getFilePath());
+    predRequestsAreas.setInput2_scene_path(modelTargetPath.getFilePath());
+
+    InferenceSendDto m1 = this.getModelInfo(req.getModel1Uuid());
+    m1.setPred_requests_areas(predRequestsAreas);
+
+    log.info("[INFERENCE] Start m1 = {}", m1);
+    m1.setPred_requests_areas(predRequestsAreas);
+
+    // ai 추론 실행 api 호출
+    Long batchId = ensureAccepted(m1);
+
+    // ai 추론 실행후 응답값 update
+    SaveInferenceAiDto saveInferenceAiDto = new SaveInferenceAiDto();
+    saveInferenceAiDto.setUuid(uuid);
+    saveInferenceAiDto.setBatchId(batchId);
+    saveInferenceAiDto.setStatus(Status.IN_PROGRESS.getId());
+    saveInferenceAiDto.setType(ModelType.G1.getId());
+    saveInferenceAiDto.setInferStartDttm(ZonedDateTime.now());
+    saveInferenceAiDto.setModelComparePath(modelComparePath.getFilePath());
+    saveInferenceAiDto.setModelTargetPath(modelTargetPath.getFilePath());
+    saveInferenceAiDto.setModelStartDttm(ZonedDateTime.now());
+    inferenceResultCoreService.update(saveInferenceAiDto);
+
+    return uuid;
+  }
+
   /**
    * 변화탐지 실행 정보 생성
    *
@@ -146,31 +265,31 @@ public class InferenceResultService {
 
     List<TotalListDto> totalNumList = new ArrayList<>();
 
-    if (DetectOption.EXCL.getId().equals(req.getDetectOption())) {
+    //    if (DetectOption.EXCL.getId().equals(req.getDetectOption())) {
-      // "추론제외" 일때 전년도 이전 값이 있어도 전년도 도엽이 없으면 비교 안함
+    //      // "추론제외" 일때 전년도 이전 값이 있어도 전년도 도엽이 없으면 비교 안함
-      for (MngListCompareDto dto : compareList) {
+    //      for (MngListCompareDto dto : compareList) {
-        if (Objects.equals(dto.getBeforeYear(), req.getCompareYyyy())) {
+    //        if (Objects.equals(dto.getBeforeYear(), req.getCompareYyyy())) {
-          TotalListDto totalDto = new TotalListDto();
+    //          TotalListDto totalDto = new TotalListDto();
-          totalDto.setBeforeYear(dto.getBeforeYear() == null ? 0 : dto.getBeforeYear());
+    //          totalDto.setBeforeYear(dto.getBeforeYear() == null ? 0 : dto.getBeforeYear());
-          totalDto.setMapSheetNum(dto.getMapSheetNum());
+    //          totalDto.setMapSheetNum(dto.getMapSheetNum());
-          totalNumList.add(totalDto);
+    //          totalNumList.add(totalDto);
-        }
+    //        }
-      }
+    //      }
-    } else if (DetectOption.PREV.getId().equals(req.getDetectOption())) {
+    //    } else if (DetectOption.PREV.getId().equals(req.getDetectOption())) {
-      // "이전 년도 도엽 사용" 이면 전년도 이전 도엽도 사용
+    //      // "이전 년도 도엽 사용" 이면 전년도 이전 도엽도 사용
-      for (MngListCompareDto dto : compareList) {
+    //      for (MngListCompareDto dto : compareList) {
-        if (dto.getBeforeYear() != 0) {
+    //        if (dto.getBeforeYear() != 0) {
-          TotalListDto totalDto = new TotalListDto();
+    //          TotalListDto totalDto = new TotalListDto();
-          totalDto.setBeforeYear(dto.getBeforeYear() == null ? 0 : dto.getBeforeYear());
+    //          totalDto.setBeforeYear(dto.getBeforeYear() == null ? 0 : dto.getBeforeYear());
-          totalDto.setMapSheetNum(dto.getMapSheetNum());
+    //          totalDto.setMapSheetNum(dto.getMapSheetNum());
-          totalNumList.add(totalDto);
+    //          totalNumList.add(totalDto);
-        }
+    //        }
-      }
+    //      }
-    }
+    //    }
-
+    //
-    if (totalNumList.isEmpty()) {
+    //    if (totalNumList.isEmpty()) {
-      throw new CustomApiException("NOT_FOUND_COMPARE_YEAR", HttpStatus.NOT_FOUND);
+    //      throw new CustomApiException("NOT_FOUND_COMPARE_YEAR", HttpStatus.NOT_FOUND);
-    }
+    //    }
 
     // 사용할 영상파일 년도 기록 및 추론에 포함되는지 설정
     for (MngListDto target : targetList) {
@@ -238,6 +357,8 @@ public class InferenceResultService {
     predRequestsAreas.setInput2_scene_path(modelTargetPath.getFilePath());
 
     InferenceSendDto m1 = this.getModelInfo(req.getModel1Uuid());
+
+    log.info("[INFERENCE] Start m1 = {}", m1);
     m1.setPred_requests_areas(predRequestsAreas);
 
     // ai 추론 실행 api 호출
@@ -325,6 +446,7 @@ public class InferenceResultService {
    *
    * @param dto
    */
+  // 같은함수가 왜 두개지
   private Long ensureAccepted(InferenceSendDto dto) {
 
     if (dto == null) {
@@ -332,6 +454,14 @@ 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));
@@ -340,13 +470,15 @@ 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();
@@ -429,7 +561,8 @@ public class InferenceResultService {
     sendDto.setCls_model_path(cdClsModelPath);
     sendDto.setCls_model_version(modelInfo.getModelVer());
     sendDto.setCd_model_type(modelType);
-    sendDto.setPriority(modelInfo.getPriority());
+    sendDto.setPriority(5d);
+    log.info("[Inference Send]SendDto={}", sendDto);
     return sendDto;
   }
 

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

@@ -0,0 +1,224 @@
+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
@@ -338,9 +341,9 @@ public class MapSheetMngService {
 
     String dirPath = syncRootDir + srchDto.getDirPath();
 
-    log.info("[FIND_FOLDER] DIR : {}",dirPath);
+    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

@@ -498,15 +498,16 @@ public class InferenceResultCoreService {
   }
 
   /**
-   * 추론 결과 shp파일 생성위해서 조회
+   * 추론 결과 조회
    *
    * @param batchIds
    * @return
    */
-  public List<InferenceResultsTestingDto.ShpDto> getInferenceResults(List<Long> batchIds) {
+  public List<InferenceResultsTestingDto.Basic> getInferenceResults(List<Long> batchIds) {
     List<InferenceResultsTestingEntity> list =
         inferenceResultsTestingRepository.getInferenceResultList(batchIds);
-    return list.stream().map(InferenceResultsTestingDto.ShpDto::fromEntity).toList();
+
+    return list.stream().map(InferenceResultsTestingEntity::toDto).toList();
   }
 
   public Long getInferenceResultCnt(List<Long> batchIds) {

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

@@ -342,4 +342,9 @@ public class MapSheetMngCoreService {
   public List<MngListCompareDto> getByHstMapSheetCompareList(int mngYyyy, List<String> mapId) {
     return mapSheetMngYearRepository.findByHstMapSheetCompareList(mngYyyy, mapId);
   }
+
+  public List<String> getMapSheetMngHst(Integer year) {
+    List<MapSheetMngHstEntity> entity = mapSheetMngRepository.getMapSheetMngHst(year);
+    return entity.stream().map(MapSheetMngHstEntity::getMapSheetNum).toList();
+  }
 }

src/main/java/com/kamco/cd/kamcoback/postgres/entity/InferenceResultsTestingEntity.java

@@ -1,5 +1,6 @@
 package com.kamco.cd.kamcoback.postgres.entity;
 
+import com.kamco.cd.kamcoback.inference.dto.InferenceResultsTestingDto;
 import jakarta.persistence.Column;
 import jakarta.persistence.Entity;
 import jakarta.persistence.Id;
@@ -84,4 +85,28 @@ public class InferenceResultsTestingEntity {
 
   @Column(name = "geometry", columnDefinition = "geometry")
   private Geometry geometry;
+
+  public InferenceResultsTestingDto.Basic toDto() {
+    return new InferenceResultsTestingDto.Basic(
+        this.probability,
+        this.beforeYear,
+        this.afterYear,
+        this.mapId,
+        this.modelVersion,
+        this.clsModelPath,
+        this.clsModelVersion,
+        this.cdModelType,
+        this.id,
+        this.modelName,
+        this.batchId,
+        this.area,
+        this.beforeC,
+        this.beforeP,
+        this.afterC,
+        this.afterP,
+        this.seq,
+        this.createdDate,
+        this.uid,
+        this.geometry);
+  }
 }

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

@@ -80,4 +80,6 @@ public interface MapSheetMngRepositoryCustom {
   void updateMapSheetMngHstUploadId(Long hstUid, UUID uuid, String uploadId);
 
   void insertMapSheetMngTile(@Valid AddReq addReq);
+
+  List<MapSheetMngHstEntity> getMapSheetMngHst(Integer year);
 }

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

@@ -1099,4 +1099,24 @@ public class MapSheetMngRepositoryImpl extends QuerydslRepositorySupport
                 "{0} like '%" + searchReq.getSearchValue() + "%'",
                 mapSheetMngHstEntity.mapSheetNum));
   }
+
+  @Override
+  public List<MapSheetMngHstEntity> getMapSheetMngHst(Integer year) {
+    return queryFactory
+        .select(mapSheetMngHstEntity)
+        .from(mapSheetMngHstEntity)
+        .innerJoin(mapSheetMngFileEntity)
+        .on(mapSheetMngFileEntity.hstUid.eq(mapSheetMngHstEntity.hstUid))
+        .where(
+            mapSheetMngHstEntity
+                .mngYyyy
+                .eq(year)
+                .and(
+                    mapSheetMngHstEntity
+                        .syncState
+                        .eq("DONE")
+                        .or(mapSheetMngHstEntity.syncCheckState.eq("DONE")))
+                .and(mapSheetMngFileEntity.fileExt.eq("tif")))
+        .fetch();
+  }
 }

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

@@ -354,9 +354,8 @@ public class MapSheetInferenceJobService {
         Paths.get(progressDto.getCdModelClsPath(), progressDto.getCdModelClsFileName()).toString());
     m.setCls_model_version(progressDto.getClsModelVersion());
     m.setCd_model_type(type);
-    m.setPriority(progressDto.getPriority());
+    m.setPriority(5d);
-
+    log.info("[BEFORE INFERENCE] BEFORE SendDto={}", m);
-    //    log.info("InferenceSendDto={}", 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 ("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();
     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/
+  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