진행률 모델 개수 4개로 수정

Reviewed-on: #160

.gitignore

@@ -60,6 +60,7 @@ Thumbs.db
 .env.*.local
 application-local.yml
 application-secret.yml
+metrics-collector/.env
 
 ### Docker (local testing) ###
 .dockerignore
@@ -72,3 +73,8 @@ docker-compose.override.yml
 *.swo
 *~
 !/CLAUDE.md
+
+### Metrics Collector ###
+metrics-collector/venv/
+metrics-collector/*.pid
+metrics-collector/wheels/

inference-table-index.sh

@@ -0,0 +1,47 @@
+#!/bin/bash
+
+#############################################
+# PostgreSQL INDEX CREATE SCRIPT
+# 에러 발생해도 계속 진행
+#############################################
+
+# set -e 제거 (중단 안함)
+
+# ===== 환경변수 체크 =====
+if [ -z "$DB_HOST" ] || [ -z "$DB_PORT" ] || [ -z "$DB_NAME" ] || [ -z "$DB_USER" ]; then
+  echo "DB 환경변수가 설정되지 않았습니다."
+  exit 1
+fi
+
+echo "========================================"
+echo "START INDEX CREATE"
+echo "TIME: $(date)"
+echo "========================================"
+
+run_index() {
+  echo "----------------------------------------"
+  echo "Running: $1"
+  psql -h $DB_HOST -p $DB_PORT -U $DB_USER -d $DB_NAME -c "$1"
+  echo "----------------------------------------"
+}
+
+run_index "CREATE INDEX CONCURRENTLY IF NOT EXISTS idx_files_uid_ext_state
+ON tb_map_sheet_mng_files (hst_uid, file_ext, file_state);"
+
+run_index "CREATE INDEX CONCURRENTLY IF NOT EXISTS idx_mng_files_hstuid_ext
+ON tb_map_sheet_mng_files (hst_uid, file_ext);"
+
+run_index "CREATE INDEX CONCURRENTLY IF NOT EXISTS idx_inkx_no_use
+ON tb_map_inkx_5k (mapidcd_no, use_inference);"
+
+run_index "CREATE INDEX CONCURRENTLY IF NOT EXISTS idx_inkx5k_mapidcd
+ON tb_map_inkx_5k (mapidcd_no);"
+
+run_index "CREATE INDEX CONCURRENTLY IF NOT EXISTS idx_hst_exec_sheetnum_yyyy_desc
+ON tb_map_sheet_mng_hst (map_sheet_num, mng_yyyy DESC);"
+
+echo "========================================"
+echo "END INDEX CREATE"
+echo "TIME: $(date)"
+echo "========================================"
+echo "모든 인덱스 시도 완료"

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

@@ -19,9 +19,9 @@ import org.springframework.web.filter.OncePerRequestFilter;
 public class JwtAuthenticationFilter extends OncePerRequestFilter {
 
   private static final AntPathMatcher PATH_MATCHER = new AntPathMatcher();
+  // JWT 필터를 타지 않게 할 URL 패턴들
   private static final String[] EXCLUDE_PATHS = {
-    //    "/api/auth/signin", "/api/auth/refresh", "/api/auth/logout", "/api/members/*/password"
-    "/api/auth/signin", "/api/auth/refresh", "/api/auth/logout"
+    "/api/auth/signin", "/api/auth/refresh", "/api/auth/logout", "/api/members/*/password"
   };
   private final JwtTokenProvider jwtTokenProvider;
   private final UserDetailsService userDetailsService;
@@ -31,11 +31,12 @@ public class JwtAuthenticationFilter extends OncePerRequestFilter {
       HttpServletRequest request, HttpServletResponse response, FilterChain filterChain)
       throws ServletException, IOException {
 
+    // HTTP 요청 헤더에서 JWT 토큰 꺼내기
     String token = resolveToken(request);
 
+    // JWT 토큰을 검증하고, 인증된 사용자로 SecurityContext에 등록
     if (token != null && jwtTokenProvider.isValidToken(token)) {
       String username = jwtTokenProvider.getSubject(token);
-
       UserDetails userDetails = userDetailsService.loadUserByUsername(username);
       UsernamePasswordAuthenticationToken authentication =
           new UsernamePasswordAuthenticationToken(userDetails, null, userDetails.getAuthorities());
@@ -58,7 +59,7 @@ public class JwtAuthenticationFilter extends OncePerRequestFilter {
     return false;
   }
 
-  // /api/members/{memberId}/password
+  // HTTP 요청 헤더에서 JWT 토큰 꺼내기
   private String resolveToken(HttpServletRequest request) {
     String bearer = request.getHeader("Authorization");
     if (bearer != null && bearer.startsWith("Bearer ")) {

src/main/java/com/kamco/cd/kamcoback/auth/JwtTokenProvider.java

@@ -8,10 +8,13 @@ import jakarta.annotation.PostConstruct;
 import java.nio.charset.StandardCharsets;
 import java.util.Date;
 import javax.crypto.SecretKey;
+import lombok.extern.log4j.Log4j2;
 import org.springframework.beans.factory.annotation.Value;
 import org.springframework.stereotype.Component;
 
+/** 토큰 생성 */
 @Component
+@Log4j2
 public class JwtTokenProvider {
 
   @Value("${jwt.secret}")
@@ -31,11 +34,15 @@ public class JwtTokenProvider {
     this.key = Keys.hmacShaKeyFor(secret.getBytes(StandardCharsets.UTF_8));
   }
 
+  // Access Token 생성
   public String createAccessToken(String subject) {
+    log.info("TOKEN VALIDITY = {}", accessTokenValidityInMs);
     return createToken(subject, accessTokenValidityInMs);
   }
 
+  // Refresh Token 생성
   public String createRefreshToken(String subject) {
+    log.info("REFRESH TOKEN VALIDITY = {}", refreshTokenValidityInMs);
     return createToken(subject, refreshTokenValidityInMs);
   }
 

src/main/java/com/kamco/cd/kamcoback/auth/MenuAuthorizationManager.java

@@ -58,6 +58,7 @@ public class MenuAuthorizationManager implements AuthorizationManager<RequestAut
 
       for (MenuEntity menu : allowedMenus) {
         String baseUri = menu.getMenuUrl();
+
         if (baseUri == null || baseUri.isBlank()) {
           continue;
         }

src/main/java/com/kamco/cd/kamcoback/auth/RefreshTokenService.java

@@ -6,6 +6,7 @@ import org.springframework.data.redis.core.StringRedisTemplate;
 import org.springframework.data.redis.core.ValueOperations;
 import org.springframework.stereotype.Service;
 
+/** redis token handler */
 @Service
 @RequiredArgsConstructor
 public class RefreshTokenService {
@@ -13,16 +14,33 @@ public class RefreshTokenService {
   private final StringRedisTemplate redisTemplate;
   private static final String PREFIX = "RT:";
 
+  /**
+   * Refresh Token 저장
+   *
+   * @param username 사용자 식별값 (보통 username or userId)
+   * @param refreshToken 발급된 Refresh Token
+   * @param ttlMillis 토큰 만료 시간 (밀리초 단위)
+   */
   public void save(String username, String refreshToken, long ttlMillis) {
     ValueOperations<String, String> ops = redisTemplate.opsForValue();
     ops.set(PREFIX + username, refreshToken, Duration.ofMillis(ttlMillis));
   }
 
+  /**
+   * Refresh Token 검증
+   *
+   * <p>1. Redis에 저장된 값 조회 2. 클라이언트가 보낸 refreshToken과 비교 3. 동일하면 true
+   */
   public boolean validate(String username, String refreshToken) {
     String stored = redisTemplate.opsForValue().get(PREFIX + username);
     return stored != null && stored.equals(refreshToken);
   }
 
+  /**
+   * Refresh Token 삭제
+   *
+   * <p>로그아웃 시 호출 Redis에서 해당 사용자 토큰 제거
+   */
   public void delete(String username) {
     redisTemplate.delete(PREFIX + username);
   }

src/main/java/com/kamco/cd/kamcoback/changedetection/ChangeDetectionApiController.java

@@ -117,16 +117,18 @@ public class ChangeDetectionApiController {
       @Parameter(description = "도곽/일반(MAPSHEET/ADDRESS) 검색 타입", required = true)
           @RequestParam(defaultValue = "MAPSHEET")
           DetectSearchType type,
-      @Parameter(description = "5k/50k 구분(SCALE_5K/SCALE_50K))", required = true)
-          @RequestParam(defaultValue = "SCALE_50K")
+      @Parameter(description = "5k/50k 구분(SCALE_5K/SCALE_50K))")
+          @RequestParam(defaultValue = "SCALE_50K", required = false)
           MapScaleType scale,
       @Parameter(
               description = "변화탐지 년도(차수) /year-list 의 uuid",
               example = "8584e8d4-53b3-4582-bde2-28a81495a626")
           UUID uuid,
-      @Parameter(description = "도엽번호", example = "34607") @RequestParam String mapSheetNum) {
+      @Parameter(description = "도엽번호", example = "34607") @RequestParam(required = false)
+          String mapSheetNum,
+      @Parameter(description = "pnu") @RequestParam(required = false) String pnu) {
     return ApiResponseDto.ok(
-        changeDetectionService.getChangeDetectionPolygonList(type, scale, uuid, mapSheetNum));
+        changeDetectionService.getChangeDetectionPolygonList(type, scale, uuid, mapSheetNum, pnu));
   }
 
   @Operation(summary = "변화탐지 결과 Point", description = "변화탐지 결과 Point")
@@ -135,16 +137,18 @@ public class ChangeDetectionApiController {
       @Parameter(description = "도곽/일반(MAPSHEET/ADDRESS) 검색 타입", required = true)
           @RequestParam(defaultValue = "MAPSHEET")
           DetectSearchType type,
-      @Parameter(description = "5k/50k 구분(SCALE_5K/SCALE_50K))", required = true)
-          @RequestParam(defaultValue = "SCALE_50K")
+      @Parameter(description = "5k/50k 구분(SCALE_5K/SCALE_50K))")
+          @RequestParam(defaultValue = "SCALE_50K", required = false)
           MapScaleType scale,
       @Parameter(
               description = "변화탐지 년도(차수) /year-list 의 uuid",
               example = "8584e8d4-53b3-4582-bde2-28a81495a626")
           UUID uuid,
-      @Parameter(description = "도엽번호", example = "34607") @RequestParam String mapSheetNum) {
+      @Parameter(description = "도엽번호", example = "34607") @RequestParam(required = false)
+          String mapSheetNum,
+      @Parameter(description = "pnu") @RequestParam(required = false) String pnu) {
     return ApiResponseDto.ok(
-        changeDetectionService.getChangeDetectionPointList(type, scale, uuid, mapSheetNum));
+        changeDetectionService.getChangeDetectionPointList(type, scale, uuid, mapSheetNum, pnu));
   }
 
   @Operation(summary = "선택 변화탐지 결과 uuid 조회", description = "선택 변화탐지 결과 uuid 조회")
@@ -163,13 +167,13 @@ public class ChangeDetectionApiController {
           @RequestParam
           String chnDtctId,
       @Parameter(description = "polygon 32자 uid", example = "3B1A7E5F895A4D9698489540EE1BBE1E")
-          @RequestParam
+          @RequestParam(required = false)
           String cdObjectId,
       @Parameter(
               description = "polygon 32자 uids",
               example =
                   "3B1A7E5F895A4D9698489540EE1BBE1E,3B221A2AF9614647A0903A972D56C574,3B22686A7ACE44FC9CB20F1B4FA6DEFD,3B376D94A183479BB5FBE3D7166E6E1A")
-          @RequestParam
+          @RequestParam(required = false)
           List<String> cdObjectIds,
       @Parameter(description = "pnu") @RequestParam(required = false) String pnu) {
     return ApiResponseDto.ok(
@@ -183,13 +187,13 @@ public class ChangeDetectionApiController {
           @RequestParam
           String chnDtctId,
       @Parameter(description = "polygon 32자 uid", example = "3B1A7E5F895A4D9698489540EE1BBE1E")
-          @RequestParam
+          @RequestParam(required = false)
           String cdObjectId,
       @Parameter(
               description = "polygon 32자 uids",
               example =
                   "3B1A7E5F895A4D9698489540EE1BBE1E,3B221A2AF9614647A0903A972D56C574,3B22686A7ACE44FC9CB20F1B4FA6DEFD,3B376D94A183479BB5FBE3D7166E6E1A")
-          @RequestParam
+          @RequestParam(required = false)
           List<String> cdObjectIds,
       @Parameter(description = "pnu") @RequestParam(required = false) String pnu) {
     return ApiResponseDto.ok(

src/main/java/com/kamco/cd/kamcoback/changedetection/dto/ChangeDetectionDto.java

@@ -1,6 +1,9 @@
 package com.kamco.cd.kamcoback.changedetection.dto;
 
+import com.fasterxml.jackson.annotation.JsonIgnore;
+import com.fasterxml.jackson.core.JsonProcessingException;
 import com.fasterxml.jackson.databind.JsonNode;
+import com.fasterxml.jackson.databind.ObjectMapper;
 import com.kamco.cd.kamcoback.common.utils.enums.CodeExpose;
 import com.kamco.cd.kamcoback.common.utils.enums.EnumType;
 import io.swagger.v3.oas.annotations.media.Schema;
@@ -32,6 +35,11 @@ public class ChangeDetectionDto {
     public String getText() {
       return desc;
     }
+
+    @Override
+    public String getTextEn() {
+      return name();
+    }
   }
 
   @CodeExpose
@@ -52,6 +60,11 @@ public class ChangeDetectionDto {
     public String getText() {
       return desc;
     }
+
+    @Override
+    public String getTextEn() {
+      return desc;
+    }
   }
 
   @Schema(name = "TestDto", description = "테스트용")
@@ -143,6 +156,23 @@ public class ChangeDetectionDto {
     private String mapSheetNum;
     private String mapSheetName;
     private String alias;
+    @JsonIgnore private String bboxStr;
+    private JsonNode bbox;
+
+    public MapSheetList(String mapSheetNum, String mapSheetName, String alias, String bboxStr) {
+      this.mapSheetNum = mapSheetNum;
+      this.mapSheetName = mapSheetName;
+      this.alias = alias;
+
+      if (bboxStr != null) {
+        ObjectMapper mapper = new ObjectMapper();
+        try {
+          this.bbox = mapper.readTree(bboxStr);
+        } catch (JsonProcessingException e) {
+          throw new RuntimeException(e);
+        }
+      }
+    }
   }
 
   @Schema(name = "PolygonFeatureList", description = "Geometry 리턴 객체")
@@ -262,6 +292,7 @@ public class ChangeDetectionDto {
   @NoArgsConstructor
   @AllArgsConstructor
   public static class ChangeDetectionMapDto {
+
     private Integer compareYyyy;
     private Integer targetYyyy;
     private String cdObjectId;

src/main/java/com/kamco/cd/kamcoback/changedetection/service/ChangeDetectionService.java

@@ -46,13 +46,13 @@ public class ChangeDetectionService {
   }
 
   public ChangeDetectionDto.PolygonFeatureList getChangeDetectionPolygonList(
-      DetectSearchType type, MapScaleType scale, UUID uuid, String mapSheetNum) {
+      DetectSearchType type, MapScaleType scale, UUID uuid, String mapSheetNum, String pnu) {
     switch (type) {
       case MAPSHEET -> {
         return changeDetectionCoreService.getChangeDetectionPolygonList(scale, uuid, mapSheetNum);
       }
       case ADDRESS -> {
-        return new ChangeDetectionDto.PolygonFeatureList(); // TODO: 일반 주소 검색 로직 확인 후 작업 필요
+        return changeDetectionCoreService.getChangeDetectionPnuPolygonList(uuid, pnu);
       }
       default -> throw new IllegalArgumentException("Unsupported type: " + type);
     }
@@ -60,14 +60,14 @@ public class ChangeDetectionService {
 
   // Geometry 객체 순환 참조 문제로 캐싱 불가
   public ChangeDetectionDto.PointFeatureList getChangeDetectionPointList(
-      DetectSearchType type, MapScaleType scale, UUID uuid, String mapSheetNum) {
+      DetectSearchType type, MapScaleType scale, UUID uuid, String mapSheetNum, String pnu) {
 
     switch (type) {
       case MAPSHEET -> {
         return changeDetectionCoreService.getChangeDetectionPointList(scale, uuid, mapSheetNum);
       }
       case ADDRESS -> {
-        return new ChangeDetectionDto.PointFeatureList(); // TODO: 일반 주소 검색 로직 확인 후 작업 필요
+        return changeDetectionCoreService.getChangeDetectionPnuPointList(uuid, pnu);
       }
       default -> throw new IllegalArgumentException("Unsupported type: " + type);
     }
@@ -101,7 +101,7 @@ public class ChangeDetectionService {
    */
   public ChangeDetectionDto.PolygonFeatureList getPolygonListByCd(
       String chnDtctId, String cdObjectId, List<String> cdObjectIds, String pnu) {
-    return changeDetectionCoreService.getPolygonListByCd(chnDtctId, cdObjectId, cdObjectIds);
+    return changeDetectionCoreService.getPolygonListByCd(chnDtctId, cdObjectId, cdObjectIds, pnu);
   }
 
   /**
@@ -115,7 +115,7 @@ public class ChangeDetectionService {
    */
   public ChangeDetectionDto.PointFeatureList getPointListByCd(
       String chnDtctId, String cdObjectId, List<String> cdObjectIds, String pnu) {
-    return changeDetectionCoreService.getPointListByCd(chnDtctId, cdObjectId, cdObjectIds);
+    return changeDetectionCoreService.getPointListByCd(chnDtctId, cdObjectId, cdObjectIds, pnu);
   }
 
   /**

src/main/java/com/kamco/cd/kamcoback/code/dto/CommonCodeDto.java

@@ -2,6 +2,7 @@ package com.kamco.cd.kamcoback.code.dto;
 
 import com.fasterxml.jackson.databind.annotation.JsonDeserialize;
 import com.fasterxml.jackson.databind.annotation.JsonSerialize;
+import com.kamco.cd.kamcoback.common.utils.HeaderUtil;
 import com.kamco.cd.kamcoback.common.utils.html.HtmlEscapeDeserializer;
 import com.kamco.cd.kamcoback.common.utils.html.HtmlUnescapeSerializer;
 import com.kamco.cd.kamcoback.common.utils.interfaces.JsonFormatDttm;
@@ -119,10 +120,11 @@ public class CommonCodeDto {
         String props2,
         String props3,
         ZonedDateTime deletedDttm) {
+      boolean english = HeaderUtil.isEnglishRequest();
       this.id = id;
       this.code = code;
       this.description = description;
-      this.name = name;
+      this.name = english ? code : name;
       this.order = order;
       this.used = used;
       this.deleted = deleted;

src/main/java/com/kamco/cd/kamcoback/common/download/DownloadAuditEventListener.java

@@ -5,7 +5,9 @@ import com.kamco.cd.kamcoback.common.download.dto.DownloadAuditEvent;
 import com.kamco.cd.kamcoback.menu.dto.MenuDto;
 import com.kamco.cd.kamcoback.menu.service.MenuService;
 import com.kamco.cd.kamcoback.postgres.entity.AuditLogEntity;
+import com.kamco.cd.kamcoback.postgres.entity.MemberEntity;
 import com.kamco.cd.kamcoback.postgres.repository.log.AuditLogRepository;
+import com.kamco.cd.kamcoback.postgres.repository.members.MembersRepository;
 import java.util.Comparator;
 import java.util.LinkedHashMap;
 import java.util.List;
@@ -24,6 +26,7 @@ import org.springframework.transaction.annotation.Transactional;
 public class DownloadAuditEventListener {
 
   private final AuditLogRepository auditLogRepository;
+  private final MembersRepository membersRepository;
   private final MenuService menuService;
   private final ObjectMapper objectMapper;
 
@@ -42,9 +45,23 @@ public class DownloadAuditEventListener {
         return;
       }
 
+      Long userId = ev.userId();
+
+      if (userId == null) {
+        // a 링크로 들어온 download는 사번으로 파라미터가 전달 되므로 사번으로 user id 조회 하기
+        MemberEntity memberEntity =
+            membersRepository.findByEmployeeNo(ev.employeeNo()).orElse(null);
+
+        if (memberEntity == null) {
+          return; // 매핑 실패 시 로그 저장 안 함
+        }
+
+        userId = memberEntity.getId();
+      }
+
       AuditLogEntity logEntity =
           AuditLogEntity.forFileDownload(
-              ev.userId(), ev.requestUri(), menuUid, ev.ip(), ev.status(), ev.downloadUuid());
+              userId, ev.requestUri(), menuUid, ev.ip(), ev.status(), ev.downloadUuid());
 
       auditLogRepository.save(logEntity);
 

src/main/java/com/kamco/cd/kamcoback/common/download/RangeDownloadResponder.java

@@ -14,23 +14,56 @@ import org.springframework.http.MediaType;
 import org.springframework.http.ResponseEntity;
 import org.springframework.stereotype.Component;
 
+/**
+ * Range(부분 다운로드) 지원 파일 다운로드 응답 생성기.
+ *
+ * <p>브라우저/다운로드 매니저가 Range 헤더를 보내면 206 Partial Content로 일부 구간만 내려주고, Range 헤더가 없으면 200 OK로 전체 파일을
+ * 내려준다.
+ *
+ * <p>대용량 ZIP(또는 바이너리) 파일 다운로드 시: - 메모리에 파일 전체를 올리지 않고(Resource/FileSystemResource 스트리밍) -
+ * 이어받기(Resume) 및 병렬 다운로드(일부 클라이언트) 지원 - 잘못된 Range에 대해 416 Range Not Satisfiable 처리
+ */
 @Component
 public class RangeDownloadResponder {
 
+  /**
+   * ZIP(또는 바이너리) 파일 다운로드 응답을 생성한다.
+   *
+   * @param filePath 실제 서버 파일 경로
+   * @param downloadFileName 사용자에게 노출될 다운로드 파일명
+   * @param request Range 헤더 확인용 HttpServletRequest
+   * @return Range 유무에 따라 200(전체) 또는 206(부분) ResponseEntity 반환
+   * @throws IOException 파일 접근/조회 실패 시
+   */
   public ResponseEntity<?> buildZipResponse(
       Path filePath, String downloadFileName, HttpServletRequest request) throws IOException {
 
+    // 1) 파일 존재/정상 파일 여부 확인
+    // - 일반 파일(regular file)이 아니면 404 반환 (디렉토리/없는 파일/특수 파일 등 방지)
     if (!Files.isRegularFile(filePath)) {
       return ResponseEntity.notFound().build();
     }
 
+    // 2) 파일 전체 크기 및 Spring Resource 래핑
+    // - Files.size: 전체 파일 크기(Content-Range 계산/검증에 필요)
+    // - FileSystemResource: 스프링이 스트리밍 형태로 파일을 응답 바디로 내려줄 수 있게 함
     long totalSize = Files.size(filePath);
     Resource resource = new FileSystemResource(filePath);
 
+    // 3) 다운로드 강제(Content-Disposition)
+    // - attachment; filename="xxx.zip" 형태로 브라우저가 저장 대화상자/다운로드로 처리
     String disposition = "attachment; filename=\"" + downloadFileName + "\"";
+
+    // 4) Range 헤더 조회
+    // - Range: bytes=0-1023  (일부 구간 요청)
+    // - Range가 없으면 전체 다운로드로 처리
     String rangeHeader = request.getHeader(HttpHeaders.RANGE);
 
-    // 🔥 공통 헤더 (여기 고정)
+    // 5) 공통 헤더(전체/부분 다운로드 공통으로 넣을 것)
+    // - Content-Type: 바이너리(필요시 application/zip 으로 바꿔도 됨)
+    // - Content-Disposition: 다운로드 강제
+    // - Accept-Ranges: bytes -> 서버가 Range(이어받기/부분요청) 지원함을 알림
+    // - X-Accel-Buffering: no -> Nginx 사용 시 버퍼링 비활성화(스트리밍/대용량에 유리)
     ResponseEntity.BodyBuilder base =
         ResponseEntity.ok()
             .contentType(MediaType.APPLICATION_OCTET_STREAM)
@@ -38,10 +71,15 @@ public class RangeDownloadResponder {
             .header(HttpHeaders.ACCEPT_RANGES, "bytes")
             .header("X-Accel-Buffering", "no");
 
+    // 6) Range 헤더가 없으면 전체 파일 반환 (200 OK)
     if (rangeHeader == null || rangeHeader.isBlank()) {
+      // Content-Length를 전체 크기로 설정하고 Resource를 그대로 바디에 담아 스트리밍
       return base.contentLength(totalSize).body(resource);
     }
 
+    // 7) Range 헤더 파싱
+    // - 잘못된 Range 헤더 형식이면 parseRanges에서 IllegalArgumentException 발생 가능
+    // - RFC에 따라 416 응답 + Content-Range: bytes */{total} 형태로 알려줌
     List<HttpRange> ranges;
     try {
       ranges = HttpRange.parseRanges(rangeHeader);
@@ -52,11 +90,18 @@ public class RangeDownloadResponder {
           .build();
     }
 
+    // 8) 다중 Range 요청이 와도(예: bytes=0-99,200-299) 여기서는 첫 번째 Range만 처리
+    // - 대부분 브라우저는 단일 Range를 사용
+    // - 멀티파트/byteranges 처리를 하려면 별도 구현 필요
     HttpRange range = ranges.get(0);
 
+    // 9) 실제 시작/끝 범위 계산
+    // - bytes=500-  : end를 파일 끝으로 해석
+    // - bytes=-500  : 마지막 500바이트로 해석
     long start = range.getRangeStart(totalSize);
     long end = range.getRangeEnd(totalSize);
 
+    // 10) 시작점이 파일 크기 이상이면 만족 불가 -> 416
     if (start >= totalSize) {
       return ResponseEntity.status(416)
           .header(HttpHeaders.CONTENT_RANGE, "bytes */" + totalSize)
@@ -64,9 +109,18 @@ public class RangeDownloadResponder {
           .build();
     }
 
+    // 11) 요청 구간 길이 계산
+    // - end/start는 inclusive이므로 +1 필요
     long regionLength = end - start + 1;
+
+    // 12) ResourceRegion 생성
+    // - resource의 start부터 regionLength 만큼만 응답으로 내려줄 수 있게 함
+    // - 파일 전체를 메모리에 올리지 않고 필요한 부분만 스트리밍
     ResourceRegion region = new ResourceRegion(resource, start, regionLength);
 
+    // 13) 206 Partial Content로 응답 구성
+    // - Content-Range: bytes start-end/total
+    // - Content-Length: regionLength(부분 크기)
     return ResponseEntity.status(206)
         .contentType(MediaType.APPLICATION_OCTET_STREAM)
         .header(HttpHeaders.CONTENT_DISPOSITION, disposition)

src/main/java/com/kamco/cd/kamcoback/common/download/dto/DownloadAuditEvent.java

@@ -4,6 +4,7 @@ import java.util.UUID;
 
 public record DownloadAuditEvent(
     Long userId,
+    String employeeNo,
     String requestUri,
     String normalizedUri,
     String ip,

src/main/java/com/kamco/cd/kamcoback/common/enums/CommonUseStatus.java

@@ -45,4 +45,9 @@ public enum CommonUseStatus implements EnumType {
   public EnumDto<CommonUseStatus> getEnumDto() {
     return new EnumDto<>(this, this.id, this.text);
   }
+
+  @Override
+  public String getTextEn() {
+    return id;
+  }
 }

src/main/java/com/kamco/cd/kamcoback/common/enums/CrsType.java

@@ -9,11 +9,13 @@ import lombok.Getter;
 @Getter
 @AllArgsConstructor
 public enum CrsType implements EnumType {
-  EPSG_3857("Web Mercator, 웹지도 미터(EPSG:900913 동일)"),
-  EPSG_4326("WGS84 위경도, GeoJSON/OSM 기본"),
-  EPSG_5186("Korea 2000 중부 TM, 한국 SHP");
+  EPSG_3857("Web Mercator, 웹지도 미터(EPSG:900913 동일)", "Web Mercator"),
+  EPSG_4326("WGS84 위경도, GeoJSON/OSM 기본", "GeoJSON/OSM"),
+  EPSG_5186("5186::Korea 2000 중부 TM, 한국 SHP", "5186::Korea 2000"),
+  EPSG_5179("5179::Korea 2000 중부 TM, 한국 SHP", "5179::Korea 2000");
 
   private final String desc;
+  private final String descEn;
 
   @Override
   public String getId() {
@@ -24,4 +26,9 @@ public enum CrsType implements EnumType {
   public String getText() {
     return desc;
   }
+
+  @Override
+  public String getTextEn() {
+    return descEn;
+  }
 }

src/main/java/com/kamco/cd/kamcoback/common/enums/DetectionClassification.java

@@ -1,5 +1,6 @@
 package com.kamco.cd.kamcoback.common.enums;
 
+import com.kamco.cd.kamcoback.common.utils.HeaderUtil;
 import lombok.AllArgsConstructor;
 import lombok.Getter;
 
@@ -51,6 +52,6 @@ public enum DetectionClassification {
    */
   public static String fromStrDesc(String text) {
     DetectionClassification dtf = fromString(text);
-    return dtf.getDesc();
+    return HeaderUtil.isEnglishRequest() ? dtf.getId() : dtf.getDesc();
   }
 }

src/main/java/com/kamco/cd/kamcoback/common/enums/FileUploadStatus.java

@@ -9,13 +9,14 @@ import lombok.Getter;
 @Getter
 @AllArgsConstructor
 public enum FileUploadStatus implements EnumType {
-  INIT("초기화"),
-  UPLOADING("업로드중"),
-  DONE("업로드완료"),
-  MERGED("병합완료"),
-  MERGE_FAIL("병합 실패");
+  INIT("초기화", "Init"),
+  UPLOADING("업로드중", "Uploading"),
+  DONE("업로드완료", "Upload Done"),
+  MERGED("병합완료", "Merged Done"),
+  MERGE_FAIL("병합 실패", "Merge Failed");
 
   private final String desc;
+  private final String descEn;
 
   @Override
   public String getId() {
@@ -26,4 +27,9 @@ public enum FileUploadStatus implements EnumType {
   public String getText() {
     return desc;
   }
+
+  @Override
+  public String getTextEn() {
+    return descEn;
+  }
 }

src/main/java/com/kamco/cd/kamcoback/common/enums/ImageryFitStatus.java

@@ -1,5 +1,6 @@
 package com.kamco.cd.kamcoback.common.enums;
 
+import com.kamco.cd.kamcoback.common.utils.HeaderUtil;
 import com.kamco.cd.kamcoback.common.utils.enums.CodeExpose;
 import com.kamco.cd.kamcoback.common.utils.enums.EnumType;
 import java.util.Arrays;
@@ -25,6 +26,11 @@ public enum ImageryFitStatus implements EnumType {
     return desc;
   }
 
+  @Override
+  public String getTextEn() {
+    return name();
+  }
+
   public static ImageryFitStatus fromCode(String code) {
     if (code == null) {
       return null;
@@ -38,6 +44,8 @@ public enum ImageryFitStatus implements EnumType {
 
   public static String getDescByCode(String code) {
     ImageryFitStatus status = fromCode(code);
-    return status != null ? status.getDesc() : null;
+    return status != null
+        ? (HeaderUtil.isEnglishRequest() ? status.getTextEn() : status.getDesc())
+        : null;
   }
 }

src/main/java/com/kamco/cd/kamcoback/common/enums/LayerType.java

@@ -10,12 +10,15 @@ import lombok.Getter;
 @Getter
 @AllArgsConstructor
 public enum LayerType implements EnumType {
-  TILE("배경지도"),
-  GEOJSON("객체데이터"),
-  WMTS("타일레이어"),
-  WMS("지적도");
+  TILE("배경지도", "Tile"),
+  GEOJSON("객체데이터", "GeoJSON"),
+  WMTS("타일레이어", "WMTS"),
+  WMS("지적도", "WMS"),
+  KAMCO_WMS("국유인WMS", "KAMCO_WMS"),
+  KAMCO_WMTS("국유인WMTS", "KAMCO_WMTS");
 
   private final String desc;
+  private final String descEn;
 
   @Override
   public String getId() {
@@ -27,6 +30,11 @@ public enum LayerType implements EnumType {
     return desc;
   }
 
+  @Override
+  public String getTextEn() {
+    return descEn;
+  }
+
   public static Optional<LayerType> from(String type) {
     try {
       return Optional.of(LayerType.valueOf(type));

src/main/java/com/kamco/cd/kamcoback/common/enums/MngStateType.java

@@ -9,12 +9,13 @@ import lombok.Getter;
 @Getter
 @AllArgsConstructor
 public enum MngStateType implements EnumType {
-  NOTYET("동기화 시작"),
-  PROCESSING("데이터 체크"),
-  DONE("동기화 작업 종료"),
-  TAKINGERROR("오류 데이터 처리중");
+  NOTYET("동기화 시작", "Sync Started"),
+  PROCESSING("데이터 체크", "Data Check"),
+  DONE("동기화 작업 종료", "Sync Completed"),
+  TAKINGERROR("오류 데이터 처리중", "Processing Error Data");
 
   private final String desc;
+  private final String descEn;
 
   @Override
   public String getId() {
@@ -25,4 +26,8 @@ public enum MngStateType implements EnumType {
   public String getText() {
     return desc;
   }
+
+  public String getTextEn() {
+    return descEn;
+  }
 }

src/main/java/com/kamco/cd/kamcoback/common/enums/RoleType.java

@@ -24,4 +24,9 @@ public enum RoleType implements EnumType {
   public String getText() {
     return desc;
   }
+
+  @Override
+  public String getTextEn() {
+    return name();
+  }
 }

src/main/java/com/kamco/cd/kamcoback/common/enums/StatusType.java

@@ -24,4 +24,9 @@ public enum StatusType implements EnumType {
   public String getText() {
     return desc;
   }
+
+  @Override
+  public String getTextEn() {
+    return name();
+  }
 }

src/main/java/com/kamco/cd/kamcoback/common/enums/SyncCheckStateType.java

@@ -23,4 +23,9 @@ public enum SyncCheckStateType implements EnumType {
   public String getText() {
     return desc;
   }
+
+  @Override
+  public String getTextEn() {
+    return name();
+  }
 }

src/main/java/com/kamco/cd/kamcoback/common/enums/SyncStateType.java

@@ -30,4 +30,9 @@ public enum SyncStateType implements EnumType {
   public String getText() {
     return desc;
   }
+
+  @Override
+  public String getTextEn() {
+    return name();
+  }
 }

src/main/java/com/kamco/cd/kamcoback/common/inference/service/InferenceCommonService.java

@@ -0,0 +1,111 @@
+package com.kamco.cd.kamcoback.common.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.config.resttemplate.ExternalHttpClient;
+import com.kamco.cd.kamcoback.config.resttemplate.ExternalHttpClient.ExternalCallResult;
+import com.kamco.cd.kamcoback.inference.dto.InferenceSendDto;
+import java.util.List;
+import java.util.Map;
+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;
+import org.springframework.transaction.annotation.Transactional;
+
+@Service
+@Log4j2
+@Transactional(readOnly = true)
+@RequiredArgsConstructor
+public class InferenceCommonService {
+
+  @Value("${spring.profiles.active}")
+  private String profile;
+
+  @Value("${inference.url}")
+  private String inferenceUrl;
+
+  private final ObjectMapper objectMapper;
+  private final ExternalHttpClient externalHttpClient;
+
+  /**
+   * 추론 AI API 호출 batch id를 리턴
+   *
+   * @param dto
+   * @return
+   */
+  public Long ensureAccepted(InferenceSendDto dto) {
+
+    if (dto == null) {
+      log.warn("not InferenceSendDto dto");
+      throw new CustomApiException("BAD_REQUEST", HttpStatus.BAD_REQUEST);
+    }
+
+    log.info("");
+    log.info("========================================================");
+    log.info("[SEND INFERENCE] Inference request dto= {}", dto);
+    log.info("========================================================");
+    log.info("");
+
+    // 1) 요청 로그
+    try {
+      log.debug("Inference request dto={}", objectMapper.writeValueAsString(dto));
+    } catch (JsonProcessingException e) {
+      log.warn("Failed to serialize inference dto", e);
+    }
+
+    // 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");
+    //    }
+
+    // 3) HTTP 호출
+    HttpHeaders headers = new HttpHeaders();
+    headers.setContentType(MediaType.APPLICATION_JSON);
+    headers.setAccept(List.of(MediaType.APPLICATION_JSON));
+
+    // 4) 추론 실행 API 호출
+    ExternalCallResult<String> result =
+        externalHttpClient.callLong(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);
+    }
+
+    // 5) 응답 파싱
+    try {
+      List<Map<String, Object>> list =
+          objectMapper.readValue(result.body(), new TypeReference<>() {});
+
+      if (list.isEmpty()) {
+        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 CustomApiException(
+            "NOT_FOUND", HttpStatus.NOT_FOUND, "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);
+    }
+  }
+}

src/main/java/com/kamco/cd/kamcoback/common/inference/utils/GeoJsonValidator.java

@@ -0,0 +1,274 @@
+package com.kamco.cd.kamcoback.common.inference.utils;
+
+import com.fasterxml.jackson.databind.JsonNode;
+import com.fasterxml.jackson.databind.ObjectMapper;
+import java.io.IOException;
+import java.nio.file.Files;
+import java.nio.file.Path;
+import java.util.HashSet;
+import java.util.LinkedHashSet;
+import java.util.List;
+import java.util.Objects;
+import java.util.Set;
+import java.util.stream.Collectors;
+import org.apache.logging.log4j.LogManager;
+import org.apache.logging.log4j.Logger;
+import org.springframework.http.HttpStatus;
+import org.springframework.web.server.ResponseStatusException;
+
+/**
+ * GeoJSON 파일의 "features[].properties.scene_id" 값들이 "요청한 도엽번호 목록(requestedMapSheetNums)"과 정확히 일치하는지
+ * 검증하는 유틸.
+ *
+ * <p>핵심 목적: - 요청한 도엽번호를 기반으로 GeoJSON을 생성했는데, 실제 결과 파일에 누락/추가/중복/빈값(scene_id 없음) 등이 발생했는지 빠르게 잡아내기.
+ *
+ * <p>검증 실패 시: - 404: 파일 자체가 없음 - 400: 파일이 비어있거나(0 byte), features 구조가 이상하거나, 요청 목록이 비어있음 - 500: 파일
+ * IO/파싱 자체가 실패(읽기 실패 등) - 422: 정합성(요청 vs 결과)이 맞지 않음 (누락/추가/중복/빈 scene_id 존재)
+ */
+public class GeoJsonValidator {
+
+  /** GeoJSON 파싱용 ObjectMapper (정적 1개로 재사용) */
+  private static final ObjectMapper om = new ObjectMapper();
+
+  /** 로그 출력용 */
+  private static final Logger log = LogManager.getLogger(GeoJsonValidator.class);
+
+  /**
+   * @param geojsonPath GeoJSON 파일 경로(문자열)
+   * @param requestedMapSheetNums "요청한 도엽번호" 리스트 (중복/공백/NULL 포함 가능)
+   *     <p>동작 개요: 1) 파일 존재/크기 검증 2) 요청 도엽번호 목록 정리(Trim + 공백 제거 + 중복 제거) 3) GeoJSON 파싱 후 features 배열
+   *     확보 4) features에서 scene_id 추출하여 유니크 set 구성 5) requested vs found 비교: - missing: requested -
+   *     found - extra : found - requested - duplicates: GeoJSON 내부에서 scene_id 중복 등장 - nullIdCount:
+   *     scene_id가 null/blank 인 feature 개수 6) 이상 있으면 422로 실패 처리
+   */
+  public static void validateWithRequested(String geojsonPath, List<String> requestedMapSheetNums) {
+
+    // 문자열 경로를 Path로 변환 (Files API 사용 목적)
+    Path path = Path.of(geojsonPath);
+
+    // =========================================================
+    // 1) 파일 기본 검증
+    //    - 파일이 존재하는지
+    //    - 파일 크기가 0인지(비어있으면 생성 실패/오류 가능성)
+    // =========================================================
+    try {
+      // 파일 존재 여부 체크 (없으면 404)
+      if (!Files.exists(path)) {
+        throw new ResponseStatusException(
+            HttpStatus.NOT_FOUND, "GeoJSON 파일이 존재하지 않습니다: " + geojsonPath);
+      }
+
+      // 파일 사이즈 체크 (0 byte면 400)
+      if (Files.size(path) == 0) {
+        throw new ResponseStatusException(
+            HttpStatus.BAD_REQUEST, "GeoJSON 파일이 비어있습니다: " + geojsonPath);
+      }
+    } catch (IOException e) {
+      // 파일 사이즈/상태 확인 중 IO 오류면 서버오류로 처리
+      log.error("GeoJSON 파일 상태 확인 실패: path={}", path, e);
+      throw new ResponseStatusException(
+          HttpStatus.INTERNAL_SERVER_ERROR, "GeoJSON 파일 상태 확인 실패: " + geojsonPath, e);
+    }
+
+    // =========================================================
+    // 2) 요청 도엽 리스트 유효성 검증
+    //    - 요청 목록 자체가 null/empty면 검증할 기준이 없으므로 400
+    // =========================================================
+    if (requestedMapSheetNums == null || requestedMapSheetNums.isEmpty()) {
+      throw new ResponseStatusException(HttpStatus.BAD_REQUEST, "requestedMapSheetNums 가 비어있습니다.");
+    }
+
+    // =========================================================
+    // 2-1) 요청 도엽 Set 정리 (중복/공백/NULL 제거)
+    //    - null 제거
+    //    - trim 적용
+    //    - 빈 문자열 제거
+    //    - LinkedHashSet 사용: "중복 제거 + 원래 입력 순서 유지"
+    // =========================================================
+    Set<String> requested =
+        requestedMapSheetNums.stream()
+            .filter(Objects::nonNull) // null 제거
+            .map(String::trim) // 앞뒤 공백 제거
+            .filter(s -> !s.isEmpty()) // "" 제거
+            .collect(Collectors.toCollection(LinkedHashSet::new)); // 중복 제거 + 순서 유지
+
+    // 정리 결과가 비어있으면(전부 null/공백)이므로 400
+    if (requested.isEmpty()) {
+      throw new ResponseStatusException(
+          HttpStatus.BAD_REQUEST, "requestedMapSheetNums 가 공백/NULL만 포함합니다.");
+    }
+
+    // =========================================================
+    // 3) GeoJSON 파싱
+    //    기대 구조:
+    //    {
+    //      "type": "FeatureCollection",
+    //      "features": [ ... ]
+    //    }
+    //
+    //    - features가 없거나 배열이 아니면 "유효하지 않은 GeoJSON" (400)
+    //    - 파일 읽기/파싱 IO 문제는 500
+    //    - JSON 자체가 깨진 경우는 400
+    // =========================================================
+    final JsonNode features;
+    try {
+      // JSON 파일을 트리 형태로 파싱
+      JsonNode root = om.readTree(path.toFile());
+
+      // GeoJSON FeatureCollection의 핵심은 features 배열
+      features = root.get("features");
+
+      // features가 없거나 배열이 아니면 GeoJSON 구조가 이상한 것
+      if (features == null || !features.isArray()) {
+        throw new ResponseStatusException(
+            HttpStatus.BAD_REQUEST, "유효하지 않은 GeoJSON: features가 없거나 배열이 아닙니다.");
+      }
+    } catch (ResponseStatusException e) {
+      // 위에서 직접 던진 에러는 그대로 전달
+      throw e;
+    } catch (IOException e) {
+      // 읽기/파싱 과정에서 IO 문제가 터지면 서버오류
+      log.error("GeoJSON 파일 읽기/파싱 실패: path={}", path, e);
+      throw new ResponseStatusException(
+          HttpStatus.INTERNAL_SERVER_ERROR, "GeoJSON 파일 읽기/파싱 실패: " + geojsonPath, e);
+    } catch (Exception e) {
+      // JSON 문법 오류/예상치 못한 파싱 오류는 클라이언트 입력/파일 자체 문제로 400 처리
+      log.error("GeoJSON 파싱 오류(비정상 JSON): path={}", path, e);
+      throw new ResponseStatusException(
+          HttpStatus.BAD_REQUEST, "GeoJSON 파싱 오류(비정상 JSON): " + geojsonPath, e);
+    }
+
+    // =========================================================
+    // 4) 검증 로직
+    //    - featureCount: 전체 feature 수 (중복 포함)
+    //    - foundUnique: GeoJSON에 등장한 유니크 scene_id 집합
+    //    - duplicates: GeoJSON 내부에서 scene_id가 중복된 목록(샘플 출력용)
+    //    - nullIdCount: scene_id가 없거나 빈 값인 feature 개수
+    // =========================================================
+    int featureCount = features.size();
+
+    // 유니크 scene_id를 담는 Set (중복 판단을 위해 add 결과를 사용)
+    Set<String> foundUnique = new HashSet<>();
+
+    // 중복된 scene_id 목록 (샘플 로그 출력용이라 순서 유지 가능한 LinkedHashSet 사용)
+    Set<String> duplicates = new LinkedHashSet<>();
+
+    // scene_id가 null 또는 blank인 feature의 개수 (데이터 이상)
+    int nullIdCount = 0;
+
+    // ---------------------------------------------------------
+    // features를 돌면서 feature.properties.scene_id를 추출한다.
+    //
+    // 기대 구조(일반적):
+    // features[i] = {
+    //   "type": "Feature",
+    //   "properties": {
+    //      "scene_id": "도엽번호"
+    //   },
+    //   "geometry": {...}
+    // }
+    // ---------------------------------------------------------
+    for (JsonNode feature : features) {
+      JsonNode props = feature.get("properties");
+
+      // properties가 있고 scene_id가 null이 아니면 텍스트로 읽음
+      // 없으면 null 처리
+      String sceneId =
+          (props != null && props.hasNonNull("scene_id"))
+              ? props.get("scene_id").asText().trim()
+              : null;
+
+      // scene_id가 없거나 빈값이면 "정상적으로 도엽번호가 들어오지 않은 feature"로 카운트
+      if (sceneId == null || sceneId.isBlank()) {
+        nullIdCount++; // 도엽번호가 없으면 증가
+        continue;
+      }
+
+      // foundUnique.add(sceneId)가 false면 "이미 같은 값이 있었다"는 뜻 => 중복
+      if (!foundUnique.add(sceneId)) {
+        duplicates.add(sceneId);
+      }
+    }
+
+    // =========================================================
+    // 4-1) requested vs found 비교(set 차집합)
+    //
+    // missing = requested - found
+    //   : 요청은 했는데 결과 GeoJSON에 없는 도엽번호
+    //
+    // extra = found - requested
+    //   : 요청하지 않았는데 결과 GeoJSON에 들어간 도엽번호
+    // =========================================================
+
+    // missing: requested를 복사한 뒤(foundUnique에 있는 값들을 제거) => 남은 것이 누락분
+    Set<String> missing = new LinkedHashSet<>(requested);
+    missing.removeAll(foundUnique);
+
+    // extra: foundUnique를 복사한 뒤(requested에 있는 값들을 제거) => 남은 것이 추가분
+    Set<String> extra = new LinkedHashSet<>(foundUnique);
+    extra.removeAll(requested);
+
+    // =========================================================
+    // 5) 로그 출력
+    //    - 운영에서 문제 생겼을 때 "요청 vs 생성 결과"를 한 눈에 보게
+    //    - sample 로그는 너무 길어질 수 있으므로 limit 걸어줌
+    // =========================================================
+    log.info(
+        """
+        ===== GeoJSON Validation =====
+        file: {}
+        features(total): {}
+        requested(unique): {}
+        found(unique scene_id): {}
+        scene_id null/blank: {}
+        duplicates(scene_id): {}
+        missing(requested - found): {}
+        extra(found - requested): {}
+        ==============================
+        """,
+        geojsonPath,
+        featureCount, // 중복 포함한 전체 feature 수
+        requested.size(), // 요청 도엽 유니크 수
+        foundUnique.size(), // GeoJSON에서 발견된 scene_id 유니크 수
+        nullIdCount, // scene_id가 비어있는 feature 수
+        duplicates.size(), // 중복 scene_id 종류 수
+        missing.size(), // 요청했지만 빠진 도엽 수
+        extra.size()); // 요청하지 않았는데 들어온 도엽 수
+
+    // 중복/누락/추가 항목은 전체를 다 찍으면 로그 폭발하므로 샘플만
+    //    if (!duplicates.isEmpty())
+    //      log.warn("duplicates sample: {}", duplicates.stream().limit(20).toList());
+
+    if (!missing.isEmpty()) {
+      log.warn("missing sample: {}", missing.stream().limit(50).toList());
+    }
+
+    if (!extra.isEmpty()) {
+      log.warn("extra sample: {}", extra.stream().limit(50).toList());
+    }
+
+    // =========================================================
+    // 6) 실패 조건 판정
+    //
+    // 아래 중 하나라도 있으면 "요청 대비 결과 정합성이 깨졌다"로 보고 실패 처리(422):
+    // - missing 존재: 요청했는데 결과에 없음
+    // - extra 존재  : 요청 안했는데 결과에 있음
+    // - duplicates 존재: 동일 도엽이 중복 생성됨
+    // - nullIdCount > 0: scene_id가 비어있는 feature가 있음(데이터 이상)
+    //
+    // 422(Unprocessable Entity):
+    // - 요청 문법은 맞지만(파일은 있고 JSON도 읽힘),
+    //   내용(정합성)이 요구사항을 만족하지 못하는 경우에 적합.
+    // =========================================================
+    if (!missing.isEmpty() || !extra.isEmpty() || !duplicates.isEmpty() || nullIdCount > 0) {
+      throw new ResponseStatusException(
+          HttpStatus.UNPROCESSABLE_ENTITY,
+          String.format(
+              "GeoJSON validation failed: missing=%d, extra=%d, duplicates=%d, nullId=%d",
+              missing.size(), extra.size(), duplicates.size(), nullIdCount));
+    }
+
+    // 모든 조건을 통과하면 정상
+    log.info("GeoJSON validation OK");
+  }
+}

src/main/java/com/kamco/cd/kamcoback/common/service/ExternalJarRunner.java

@@ -1,23 +1,45 @@
 package com.kamco.cd.kamcoback.common.service;
 
+import com.kamco.cd.kamcoback.config.InferenceProperties;
 import java.io.BufferedReader;
 import java.io.InputStreamReader;
 import java.nio.charset.StandardCharsets;
 import java.util.ArrayList;
 import java.util.List;
 import java.util.concurrent.TimeUnit;
+import lombok.RequiredArgsConstructor;
 import lombok.extern.log4j.Log4j2;
 import org.springframework.beans.factory.annotation.Value;
 import org.springframework.stereotype.Component;
 
 @Log4j2
+// 0312
+@RequiredArgsConstructor
 @Component
 public class ExternalJarRunner {
   @Value("${spring.profiles.active}")
   private String profile;
 
+  // 0312
+  private final InferenceProperties inferenceProperties;
+
   private static final long TIMEOUT_MINUTES = TimeUnit.DAYS.toMinutes(3);
 
+  //  java -jar build/libs/shp-exporter.jar   --batch   --geoserver.enabled=true
+  // --converter.inference-id=qq99999   --converter.batch-ids[0]=111
+  // 0312 shp 파일 배치를 통해 생성
+  public void run(String inferenceLearningId, List<Long> batchIds) {
+    // JAR 경로 (shape파일 생성용)
+    String jarPathV2 = inferenceProperties.getJarPathV2();
+    List<String> args = new ArrayList<>();
+    args.add(" --spring.profiles.active=" + profile);
+    args.add(" --batch");
+    args.add(" --geoserver.enabled=true");
+    args.add(" --converter.inference-id=" + inferenceLearningId);
+    batchIds.forEach(batchId -> args.add(" --converter.batch-ids[" + args.size() + "]=" + batchId));
+    execJar(jarPathV2, args);
+  }
+
   /**
    * shp 파일 생성
    *
@@ -28,7 +50,8 @@ public class ExternalJarRunner {
    * @param mode
    *     <p>MERGED - batch-ids 에 해당하는 **모든 데이터를 하나의 Shapefile로 병합 생성,
    *     <p>MAP_IDS - 명시적으로 전달한 map-ids만 대상으로 Shapefile 생성,
-   *     <p>RESOLVE - batch-ids 기준으로 **JAR 내부에서 map_ids를 조회**한 뒤 Shapefile 생성
+   *     <p>RESOLVE - batch-ids 기준으로 **JAR 내부에서 map_ids를 조회**한 뒤 Shapefile 생성 java -jar
+   *     build/libs/shp-exporter.jar --spring.profiles.active=prod
    */
   public void run(String jarPath, String batchIds, String inferenceId, String mapIds, String mode) {
     List<String> args = new ArrayList<>();
@@ -73,7 +96,8 @@ public class ExternalJarRunner {
       cmd.add("-jar");
       cmd.add(jarPath);
       cmd.addAll(args);
-
+      // 0312
+      log.info("exec jar command: {}", cmd);
       ProcessBuilder pb = new ProcessBuilder(cmd);
       pb.redirectErrorStream(true);
 
@@ -103,6 +127,7 @@ public class ExternalJarRunner {
 
     } catch (Exception e) {
       log.error("jar execution error. output=\n{}", out, e);
+      throw new RuntimeException("jar execution error\n" + out, e);
     }
   }
 

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

@@ -1,6 +1,9 @@
 package com.kamco.cd.kamcoback.common.utils;
 
 import jakarta.servlet.http.HttpServletRequest;
+import org.springframework.web.context.request.RequestAttributes;
+import org.springframework.web.context.request.RequestContextHolder;
+import org.springframework.web.context.request.ServletRequestAttributes;
 
 public final class HeaderUtil {
 
@@ -20,4 +23,20 @@ public final class HeaderUtil {
   public static String getRequired(HttpServletRequest request, String headerName) {
     return get(request, headerName);
   }
+
+  public static boolean isEnglishRequest() {
+    RequestAttributes attrs = RequestContextHolder.getRequestAttributes();
+
+    if (!(attrs instanceof ServletRequestAttributes servletAttrs)) {
+      return false;
+    }
+
+    String acceptLanguage = servletAttrs.getRequest().getHeader("Accept-Language");
+
+    if (acceptLanguage == null || acceptLanguage.isBlank()) {
+      return false;
+    }
+
+    return acceptLanguage.toLowerCase().startsWith("en");
+  }
 }

src/main/java/com/kamco/cd/kamcoback/common/utils/enums/EnumType.java

@@ -5,4 +5,6 @@ public interface EnumType {
   String getId();
 
   String getText();
+
+  String getTextEn();
 }

src/main/java/com/kamco/cd/kamcoback/common/utils/enums/Enums.java

@@ -1,6 +1,7 @@
 package com.kamco.cd.kamcoback.common.utils.enums;
 
 import com.kamco.cd.kamcoback.code.dto.CommonCodeDto.CodeDto;
+import com.kamco.cd.kamcoback.common.utils.HeaderUtil;
 import java.util.Arrays;
 import java.util.HashMap;
 import java.util.List;
@@ -32,11 +33,12 @@ public class Enums {
   // enum -> CodeDto list
   public static List<CodeDto> toList(Class<? extends Enum<?>> enumClass) {
     Object[] enums = enumClass.getEnumConstants();
+    boolean english = HeaderUtil.isEnglishRequest();
 
     return Arrays.stream(enums)
         .map(e -> (EnumType) e)
         .filter(e -> !isHidden(enumClass, (Enum<?>) e))
-        .map(e -> new CodeDto(e.getId(), e.getText()))
+        .map(e -> new CodeDto(e.getId(), english ? e.getTextEn() : e.getText()))
         .toList();
   }
 

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

@@ -13,6 +13,7 @@ import org.springframework.context.ApplicationEventPublisher;
 import org.springframework.stereotype.Component;
 import org.springframework.web.servlet.HandlerInterceptor;
 
+/** 파일 다운로드 log 저장 */
 @Slf4j
 @Component
 @RequiredArgsConstructor
@@ -30,9 +31,17 @@ public class FileDownloadInteceptor implements HandlerInterceptor {
     if (request.getDispatcherType() != DispatcherType.REQUEST) return;
 
     Long userId;
+    String employeeNo = "";
+
     try {
+      // a 링크 다운로드일경우 userId가 없으므로 전달받은 사번을 넣는다
       userId = userUtil.getId();
-      if (userId == null) return; // userId null 불가면 스킵
+      if (userId == null) {
+        employeeNo = request.getParameter("employeeNo");
+        if (employeeNo == null) {
+          return;
+        }
+      }
     } catch (Exception e) {
       log.warn("Download audit userId resolve failed. uri={}, err={}", uri, e.toString());
       return;
@@ -48,8 +57,9 @@ public class FileDownloadInteceptor implements HandlerInterceptor {
       return; // downloadUuid null 불가 -> 스킵
     }
 
+    // log저장 DownloadAuditEventListener 클래스 호출
     publisher.publishEvent(
-        new DownloadAuditEvent(userId, uri, normalizedUri, ip, status, downloadUuid));
+        new DownloadAuditEvent(userId, employeeNo, uri, normalizedUri, ip, status, downloadUuid));
   }
 
   private UUID extractUuidFromUri(String uri) {

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

@@ -0,0 +1,35 @@
+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;
+  private String outputDir;
+
+  @Getter
+  @Setter
+  public static class TrainingData {
+
+    private String geojsonDir;
+  }
+}

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

@@ -0,0 +1,22 @@
+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;
+  // 0312
+  private String jarPathV2;
+  private String inferenceServerName;
+}

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

@@ -71,13 +71,17 @@ public class SecurityConfig {
                     .requestMatchers("/api/test/review")
                     .hasAnyRole("ADMIN", "REVIEWER")
 
+                    // shapefile 생성 테스트 API - 인증 없이 접근 가능
+                    .requestMatchers("/api/test/make-shapefile")
+                    .permitAll()
+
                     // ASYNC/ERROR 재디스패치는 막지 않기 (다운로드/스트리밍에서 필수)
                     .dispatcherTypeMatchers(DispatcherType.ASYNC, DispatcherType.ERROR)
                     .permitAll()
 
                     // 다운로드는 인증 필요
                     .requestMatchers(HttpMethod.GET, DownloadPaths.PATTERNS)
-                    .authenticated()
+                    .permitAll()
 
                     // 메뉴 등록 ADMIN만 가능
                     .requestMatchers(HttpMethod.POST, "/api/menu/auth")
@@ -102,6 +106,7 @@ public class SecurityConfig {
                         "/api/upload/file-chunk-upload",
                         "/api/upload/chunk-upload-complete",
                         "/api/change-detection/**",
+                        "/api/members/*/password",
                         "/api/layer/map/**",
                         "/api/layer/tile-url",
                         "/api/layer/tile-url-year",
@@ -111,7 +116,6 @@ public class SecurityConfig {
                     .requestMatchers(
                         "/api/user/**",
                         "/api/my/menus",
-                        "/api/members/*/password",
                         "/api/training-data/label/**",
                         "/api/training-data/review/**")
                     .authenticated()

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 +81,26 @@ 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
+          │  Output Dir       : %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 +111,25 @@ 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",
+            fileProperties.getOutputDir() != null ? fileProperties.getOutputDir() : "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/config/api/ApiLogFunction.java

@@ -39,10 +39,10 @@ public class ApiLogFunction {
 
   public static String getXFowardedForIp(HttpServletRequest request) {
     String ip = request.getHeader("X-Forwarded-For");
-    if (ip != null) {
-      ip = ip.split(",")[0].trim();
+    if (ip != null && !ip.isBlank()) {
+      return ip.split(",")[0].trim();
     }
-    return ip;
+    return request.getRemoteAddr();
   }
 
   // 사용자 ID 추출 예시 (Spring Security 기준)

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

@@ -3,6 +3,7 @@ package com.kamco.cd.kamcoback.config.api;
 import com.fasterxml.jackson.annotation.JsonIgnore;
 import com.fasterxml.jackson.annotation.JsonInclude;
 import com.kamco.cd.kamcoback.common.utils.enums.EnumType;
+import java.util.Arrays;
 import lombok.Getter;
 import lombok.RequiredArgsConstructor;
 import lombok.ToString;
@@ -173,8 +174,9 @@ public class ApiResponseDto<T> {
             + "To reset your password again, please submit a new request through \"Forgot"
             + " Password.\""),
     PAYLOAD_TOO_LARGE("업로드 용량 제한을 초과했습니다."),
-    NOT_FOUND_TARGET_YEAR("기준년도 도엽을 찾을 수 없습니다."),
-    NOT_FOUND_COMPARE_YEAR("비교년도 도엽을 찾을 수 없습니다."),
+    NOT_FOUND_TARGET_YEAR("기준연도 도엽을 찾을 수 없습니다."),
+    NOT_FOUND_COMPARE_YEAR("비교연도 도엽을 찾을 수 없습니다."),
+    NOT_FOUND_MAP_SHEET_NUM("추론 가능한 도엽이 없습니다."),
     FAIL_SAVE_MAP_SHEET("도엽 저장 중 오류가 발생했습니다."),
     FAIL_CREATE_MAP_SHEET_FILE("도엽 설정파일 생성 중 오류가 발생했습니다."),
     ;
@@ -191,6 +193,11 @@ public class ApiResponseDto<T> {
       return message;
     }
 
+    @Override
+    public String getTextEn() {
+      return message;
+    }
+
     public static ApiResponseCode getCode(String name) {
       return ApiResponseCode.valueOf(name.toUpperCase());
     }
@@ -219,5 +226,12 @@ public class ApiResponseDto<T> {
 
       return INTERNAL_SERVER_ERROR;
     }
+
+    public static ApiResponseCode fromMessage(String message) {
+      return Arrays.stream(values())
+          .filter(code -> code.getMessage().equals(message))
+          .findFirst()
+          .orElse(null);
+    }
   }
 }

src/main/java/com/kamco/cd/kamcoback/config/resttemplate/ExternalHttpClient.java

@@ -3,8 +3,8 @@ package com.kamco.cd.kamcoback.config.resttemplate;
 import com.fasterxml.jackson.databind.ObjectMapper;
 import java.nio.charset.StandardCharsets;
 import java.util.List;
-import lombok.RequiredArgsConstructor;
 import lombok.extern.log4j.Log4j2;
+import org.springframework.beans.factory.annotation.Qualifier;
 import org.springframework.http.HttpEntity;
 import org.springframework.http.HttpHeaders;
 import org.springframework.http.HttpMethod;
@@ -14,54 +14,86 @@ import org.springframework.stereotype.Component;
 import org.springframework.web.client.HttpStatusCodeException;
 import org.springframework.web.client.RestTemplate;
 
-@RequiredArgsConstructor
 @Component
 @Log4j2
 public class ExternalHttpClient {
 
-  private final RestTemplate restTemplate;
+  private final RestTemplate restTemplate; // short (@Primary)
+  private final RestTemplate restTemplateLong; // long
   private final ObjectMapper objectMapper;
 
+  public ExternalHttpClient(
+      RestTemplate restTemplate,
+      @Qualifier("restTemplateLong") RestTemplate restTemplateLong,
+      ObjectMapper objectMapper) {
+    this.restTemplate = restTemplate;
+    this.restTemplateLong = restTemplateLong;
+    this.objectMapper = objectMapper;
+  }
+
+  /** 기본(짧은 timeout) 호출 */
   public <T> ExternalCallResult<T> call(
       String url, HttpMethod method, Object body, HttpHeaders headers, Class<T> responseType) {
 
-    // responseType 기반으로 Accept 동적 세팅
+    return doCall(restTemplate, url, method, body, headers, responseType);
+  }
+
+  /** 추론/대용량 전용 (긴 timeout) */
+  public <T> ExternalCallResult<T> callLong(
+      String url, HttpMethod method, Object body, HttpHeaders headers, Class<T> responseType) {
+
+    return doCall(restTemplateLong, url, method, body, headers, responseType);
+  }
+
+  private <T> ExternalCallResult<T> doCall(
+      RestTemplate rt,
+      String url,
+      HttpMethod method,
+      Object body,
+      HttpHeaders headers,
+      Class<T> responseType) {
+
     HttpHeaders resolvedHeaders = resolveHeaders(headers, responseType);
     logRequestBody(body);
 
     HttpEntity<Object> entity = new HttpEntity<>(body, resolvedHeaders);
 
     try {
-      // String: raw bytes -> UTF-8 string
+
+      // String 응답은 raw byte로 받아 UTF-8 변환
       if (responseType == String.class) {
-        ResponseEntity<byte[]> res = restTemplate.exchange(url, method, entity, byte[].class);
+        ResponseEntity<byte[]> res = rt.exchange(url, method, entity, byte[].class);
         String raw =
             (res.getBody() == null) ? null : new String(res.getBody(), StandardCharsets.UTF_8);
 
         @SuppressWarnings("unchecked")
         T casted = (T) raw;
+
         return new ExternalCallResult<>(res.getStatusCodeValue(), true, casted, null);
       }
 
-      // byte[]: raw bytes로 받고, JSON이면 에러로 처리
+      // byte[] 응답 처리
       if (responseType == byte[].class) {
-        ResponseEntity<byte[]> res = restTemplate.exchange(url, method, entity, byte[].class);
+        ResponseEntity<byte[]> res = rt.exchange(url, method, entity, byte[].class);
 
         MediaType ct = res.getHeaders().getContentType();
         byte[] bytes = res.getBody();
 
+        // JSON이면 에러로 간주
         if (isJsonLike(ct)) {
           String err = (bytes == null) ? null : new String(bytes, StandardCharsets.UTF_8);
+
           return new ExternalCallResult<>(res.getStatusCodeValue(), false, null, err);
         }
 
         @SuppressWarnings("unchecked")
         T casted = (T) bytes;
+
         return new ExternalCallResult<>(res.getStatusCodeValue(), true, casted, null);
       }
 
-      // DTO 등: 일반 역직렬화
-      ResponseEntity<T> res = restTemplate.exchange(url, method, entity, responseType);
+      // DTO 응답
+      ResponseEntity<T> res = rt.exchange(url, method, entity, responseType);
       return new ExternalCallResult<>(res.getStatusCodeValue(), true, res.getBody(), null);
 
     } catch (HttpStatusCodeException e) {
@@ -70,29 +102,28 @@ public class ExternalHttpClient {
     }
   }
 
-  // 기존 resolveJsonHeaders를 "동적"으로 교체
+  /** Accept / Content-Type 자동 처리 */
   private HttpHeaders resolveHeaders(HttpHeaders headers, Class<?> responseType) {
-    // 원본 headers를 그대로 쓰면 외부에서 재사용할 때 사이드이펙트 날 수 있어서 복사 권장
+
     HttpHeaders h = (headers == null) ? new HttpHeaders() : new HttpHeaders(headers);
 
-    // 요청 바디 기본은 JSON이라고 가정 (필요하면 호출부에서 덮어쓰기)
+    // 기본 Content-Type
     if (h.getContentType() == null) {
       h.setContentType(MediaType.APPLICATION_JSON);
     }
 
-    // 호출부에서 Accept를 명시했으면 존중
+    // Accept 이미 있으면 존중
     if (h.getAccept() != null && !h.getAccept().isEmpty()) {
       return h;
     }
 
-    // responseType 기반 Accept 자동 지정
+    // 응답 타입 기준 Accept 자동 지정
     if (responseType == byte[].class) {
       h.setAccept(
           List.of(
               MediaType.APPLICATION_OCTET_STREAM,
               MediaType.valueOf("application/zip"),
-              MediaType.APPLICATION_JSON // 실패(JSON 에러 바디) 대비
-              ));
+              MediaType.APPLICATION_JSON));
     } else {
       h.setAccept(List.of(MediaType.APPLICATION_JSON));
     }
@@ -100,12 +131,15 @@ public class ExternalHttpClient {
     return h;
   }
 
+  /** JSON 응답 여부 체크 */
   private boolean isJsonLike(MediaType ct) {
     if (ct == null) return false;
+
     return ct.includes(MediaType.APPLICATION_JSON)
         || "application/problem+json".equalsIgnoreCase(ct.toString());
   }
 
+  /** 요청 바디 로그 */
   private void logRequestBody(Object body) {
     try {
       if (body != null) {

src/main/java/com/kamco/cd/kamcoback/config/resttemplate/RestTemplateConfig.java

@@ -4,6 +4,7 @@ import lombok.extern.log4j.Log4j2;
 import org.springframework.boot.web.client.RestTemplateBuilder;
 import org.springframework.context.annotation.Bean;
 import org.springframework.context.annotation.Configuration;
+import org.springframework.context.annotation.Primary;
 import org.springframework.http.client.BufferingClientHttpRequestFactory;
 import org.springframework.http.client.SimpleClientHttpRequestFactory;
 import org.springframework.web.client.RestTemplate;
@@ -13,10 +14,20 @@ import org.springframework.web.client.RestTemplate;
 public class RestTemplateConfig {
 
   @Bean
+  @Primary
   public RestTemplate restTemplate(RestTemplateBuilder builder) {
+    return build(builder, 20000, 60000);
+  }
+
+  @Bean("restTemplateLong")
+  public RestTemplate restTemplateLong(RestTemplateBuilder builder) {
+    return build(builder, 20000, 60000);
+  }
+
+  private RestTemplate build(RestTemplateBuilder builder, int connectTimeoutMs, int readTimeoutMs) {
     SimpleClientHttpRequestFactory baseFactory = new SimpleClientHttpRequestFactory();
-    baseFactory.setConnectTimeout(2000);
-    baseFactory.setReadTimeout(3000);
+    baseFactory.setConnectTimeout(connectTimeoutMs);
+    baseFactory.setReadTimeout(readTimeoutMs);
 
     RestTemplate rt =
         builder
@@ -24,10 +35,8 @@ public class RestTemplateConfig {
             .additionalInterceptors(new RetryInterceptor())
             .build();
 
-    // byte[] 응답은 무조건 raw로 읽게 강제 (Jackson이 끼어들 여지 제거)
     rt.getMessageConverters()
         .add(0, new org.springframework.http.converter.ByteArrayHttpMessageConverter());
-
     return rt;
   }
 }

src/main/java/com/kamco/cd/kamcoback/gukyuin/GukYuinApiController.java

@@ -322,4 +322,23 @@ public class GukYuinApiController {
       @PathVariable String chnDtctObjtId) {
     return ApiResponseDto.ok(gukYuinApiService.findRlbDtctObject(chnDtctObjtId));
   }
+
+  @Operation(summary = "실태조사 적합여부 업데이트", description = "실태조사 적합여부 업데이트")
+  @ApiResponses(
+      value = {
+        @ApiResponse(
+            responseCode = "201",
+            description = "등록 성공",
+            content =
+                @Content(
+                    mediaType = "application/json",
+                    schema = @Schema(implementation = DetectMastReq.class))),
+        @ApiResponse(responseCode = "404", description = "코드를 찾을 수 없음", content = @Content),
+        @ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
+      })
+  @PostMapping("/rlb/objt/{chnDtctObjtId}/stblt/{stbltYn}")
+  public ApiResponseDto<ChngDetectContDto.ResultLabelDto> updateStbltObjtYn(
+      @PathVariable String chnDtctObjtId, @PathVariable String stbltYn) {
+    return ApiResponseDto.ok(gukYuinApiService.updateStbltObjtYn(chnDtctObjtId, stbltYn, ""));
+  }
 }

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

@@ -14,9 +14,9 @@ public class GukYuinDto {
   public enum GukYuinLinkFailCode implements EnumType {
     OK("연동 가능"),
     NOT_FOUND("대상 회차가 없습니다."),
-    SCOPE_PART_NOT_ALLOWED("부분 도엽은 연동 불가능 합니다."),
-    HAS_RUNNING_INFERENCE("라벨링 진행 중 회차가 있습니다."),
-    OTHER_GUKYUIN_IN_PROGRESS("국유in 연동 진행 중 회차가 있습니다.");
+    SCOPE_PART_NOT_ALLOWED("부분 도엽 추론 결과는 연동 할 수 없습니다."),
+    HAS_RUNNING_INFERENCE("라벨링 진행중인 회차가 있습니다.\n진행중인 라벨링 작업을 종료하신 후 다시 연동해주세요."),
+    OTHER_GUKYUIN_IN_PROGRESS("국유in 연동이 진행중입니다. 선행 연동 작업이 종료된 후 진행할 수 있습니다.");
 
     private final String desc;
 
@@ -29,6 +29,11 @@ public class GukYuinDto {
     public String getText() {
       return desc;
     }
+
+    @Override
+    public String getTextEn() {
+      return desc;
+    }
   }
 
   @Getter
@@ -36,8 +41,9 @@ public class GukYuinDto {
   public static class GukYuinLinkableRes {
 
     private boolean linkable;
-    //    private GukYuinLinkFailCode code;
+    private GukYuinLinkFailCode code;
     private String message;
+    private UUID inferenceUuid;
   }
 
   // Repository가 반환할 Fact(조회 결과)
@@ -45,7 +51,8 @@ public class GukYuinDto {
       boolean existsLearn,
       boolean isPartScope,
       boolean hasRunningInference,
-      boolean hasOtherUnfinishedGukYuin) {}
+      boolean hasOtherUnfinishedGukYuin,
+      UUID inferenceUuid) {}
 
   @Getter
   @Setter

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

@@ -26,4 +26,9 @@ public enum GukYuinStatus implements EnumType {
   public String getText() {
     return desc;
   }
+
+  @Override
+  public String getTextEn() {
+    return desc;
+  }
 }

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

@@ -69,8 +69,11 @@ public class GukYuinApiService {
   @Value("${file.nfs}")
   private String nfs;
 
-  //  @Value("${file.dataset-dir}")
-  //  private String datasetDir;
+  @Value("${file.output-dir}") // 국유인 반영 파일 경로
+  private String outputDir;
+
+  @Value("${file.dataset-dir}")
+  private String datasetDir;
 
   @Transactional
   public ChngDetectMastDto.RegistResDto regist(
@@ -234,9 +237,12 @@ public class GukYuinApiService {
     GukYuinLinkFailCode code = decideCode(f);
 
     GukYuinLinkableRes res = new GukYuinLinkableRes();
-    //    res.setCode(code);
+    res.setCode(code);
     res.setLinkable(code == GukYuinLinkFailCode.OK);
     res.setMessage(code.getDesc());
+    if (code == GukYuinLinkFailCode.HAS_RUNNING_INFERENCE) {
+      res.setInferenceUuid(f.inferenceUuid());
+    }
     return res;
   }
 
@@ -246,9 +252,9 @@ public class GukYuinApiService {
       return GukYuinLinkFailCode.NOT_FOUND;
     }
 
-    if (f.isPartScope()) {
-      return GukYuinLinkFailCode.SCOPE_PART_NOT_ALLOWED;
-    }
+    //    if (f.isPartScope()) {
+    //      return GukYuinLinkFailCode.SCOPE_PART_NOT_ALLOWED;
+    //    }
 
     if (f.hasRunningInference()) {
       return GukYuinLinkFailCode.HAS_RUNNING_INFERENCE;
@@ -278,6 +284,7 @@ public class GukYuinApiService {
             + "&reqEpno="
             + ("Y".equals(batchYn) ? "BATCH" : userUtil.getEmployeeNo());
 
+    log.info("##### API 호출 URL : {}", url);
     ExternalCallResult<ChngDetectContDto.ResultContDto> result =
         externalHttpClient.call(
             url,
@@ -286,6 +293,7 @@ public class GukYuinApiService {
             netUtils.jsonHeaders(),
             ChngDetectContDto.ResultContDto.class);
 
+    log.info("##### API 호출 완료 : {}", result.toString());
     List<ContBasic> contList = result.body().getResult();
     if (contList == null || contList.isEmpty()) {
       return new ResultContDto(
@@ -345,6 +353,7 @@ public class GukYuinApiService {
     info.setReqIp(myip);
     info.setReqEpno("Y".equals(batchYn) ? "BATCH" : userUtil.getEmployeeNo());
 
+    log.info("##### API 호출 URL : {}", url);
     ExternalCallResult<ChngDetectContDto.ResultLabelDto> result =
         externalHttpClient.call(
             url,
@@ -352,6 +361,7 @@ public class GukYuinApiService {
             info,
             netUtils.jsonHeaders(),
             ChngDetectContDto.ResultLabelDto.class);
+    log.info("##### API 호출 완료 : {}", result.toString());
 
     this.insertGukyuinAuditLog(
         EventType.MODIFIED.getId(),
@@ -405,10 +415,12 @@ public class GukYuinApiService {
             + "&reqEpno="
             + ("Y".equals(batchYn) ? "BATCH" : userUtil.getEmployeeNo());
 
+    log.info("##### API 호출 URL : {}", url);
     ExternalCallResult<ChngDetectMastDto.ResultDto> result =
         externalHttpClient.call(
             url, HttpMethod.GET, null, netUtils.jsonHeaders(), ChngDetectMastDto.ResultDto.class);
 
+    log.info("##### API 호출 완료 : {}", result.toString());
     this.insertGukyuinAuditLog(
         EventType.DETAIL.getId(),
         netUtils.getLocalIP(),
@@ -456,10 +468,13 @@ public class GukYuinApiService {
       return new ResponseObj(ApiResponseCode.DUPLICATE_DATA, "이미 국유인 연동을 한 회차입니다.");
     }
 
-    //    String kamconfsDatasetExportPathfsDatasetExportPath = "/kamco-nfs/dataset/export/";
-    String kamconfsDatasetExportPathfsDatasetExportPath =
-        String.format("%s%s", nfs, "/dataset/export/");
-    if (!Files.isDirectory(Path.of(kamconfsDatasetExportPathfsDatasetExportPath + info.getUid()))) {
+    // 추론 shp 파일 생성되는 위치
+    log.info(
+        "═════════════════════════════════[s] datasetDir : 추론 shp파일 생성되는 위치 ══════════════════════════════════");
+    log.info("datasetDir path : " + datasetDir + info.getUid());
+    log.info(
+        "═════════════════════════════════[e] datasetDir : 추론 shp파일 생성되는 위치 ════════════════════════════");
+    if (!Files.isDirectory(Path.of(datasetDir + info.getUid()))) {
       return new ResponseObj(
           ApiResponseCode.NOT_FOUND_DATA, "파일 경로에 회차 실행 파일이 생성되지 않았습니다. 확인 부탁드립니다.");
     }
@@ -469,6 +484,13 @@ public class GukYuinApiService {
         gukyuinCoreService.findMapSheetLearnYearStage(info.getCompareYyyy(), info.getTargetYyyy());
 
     // reqDto 셋팅
+    // 마운트된 추론 shp 파일 생성되는 위치
+    log.info(
+        "═════════════════════════════════[s] outputDir : 마운트된 추론 shp 파일 생성되는 위치 ══════════════════════════════════");
+    log.info("outputDir path : " + outputDir + info.getUid());
+    log.info(
+        "═════════════════════════════════[e] outputDir : 마운트된 추론 shp 파일 생성되는 위치 ════════════════════════════");
+    String kamconfsDatasetExportPathfsDatasetExportPath = outputDir;
     ChnDetectMastReqDto reqDto = new ChnDetectMastReqDto();
     reqDto.setCprsYr(String.valueOf(info.getCompareYyyy()));
     reqDto.setCrtrYr(String.valueOf(info.getTargetYyyy()));
@@ -549,10 +571,12 @@ public class GukYuinApiService {
             + "&yyyymmdd="
             + yyyymmdd;
 
+    log.info("##### API 호출 URL : {}", url);
     ExternalCallResult<ChngDetectMastDto.RlbDtctDto> result =
         externalHttpClient.call(
             url, HttpMethod.GET, null, netUtils.jsonHeaders(), ChngDetectMastDto.RlbDtctDto.class);
 
+    log.info("##### API 호출 완료 : {}", result.toString());
     this.insertGukyuinAuditLog(
         EventType.LIST.getId(),
         netUtils.getLocalIP(),
@@ -586,4 +610,45 @@ public class GukYuinApiService {
         result.body() != null && result.body().getSuccess());
     return result.body();
   }
+
+  public ChngDetectContDto.ResultLabelDto updateStbltObjtYn(
+      String chnDtctObjtId, String stbltYn, String batchYn) {
+    String url = gukyuinCdiUrl + "/rlb/objt/" + chnDtctObjtId + "/stblt/" + stbltYn;
+
+    ReqInfo info = new ReqInfo();
+    info.setReqIp(myip);
+    info.setReqEpno("Y".equals(batchYn) ? "BATCH" : userUtil.getEmployeeNo());
+
+    ExternalCallResult<ChngDetectContDto.ResultLabelDto> result =
+        externalHttpClient.call(
+            url,
+            HttpMethod.POST,
+            info,
+            netUtils.jsonHeaders(),
+            ChngDetectContDto.ResultLabelDto.class);
+
+    this.insertGukyuinAuditLog(
+        EventType.MODIFIED.getId(),
+        netUtils.getLocalIP(),
+        userUtil.getId(),
+        url.replace(gukyuinUrl, ""),
+        null,
+        result.body().getSuccess());
+
+    return result.body();
+  }
+
+  public void stbltBulkUpdate(List<String> objectIds) {
+    for (String objectId : objectIds) {
+      this.updateStbltObjtYn(objectId, "Y", "");
+    }
+  }
+
+  public List<String> findStbltObjectIds(String uid, String mapSheetNum) {
+    return gukyuinCoreService.findStbltObjectIds(uid, mapSheetNum);
+  }
+
+  public Integer updateStbltRandomData(String uid, int updateCnt) {
+    return gukyuinCoreService.updateStbltRandomData(uid, updateCnt);
+  }
 }

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

@@ -0,0 +1,43 @@
+package com.kamco.cd.kamcoback.inference;
+
+import com.kamco.cd.kamcoback.inference.dto.InferenceResultShpDto;
+import com.kamco.cd.kamcoback.inference.service.InferenceManualService;
+import io.swagger.v3.oas.annotations.Operation;
+import io.swagger.v3.oas.annotations.media.Content;
+import io.swagger.v3.oas.annotations.media.Schema;
+import io.swagger.v3.oas.annotations.responses.ApiResponse;
+import io.swagger.v3.oas.annotations.responses.ApiResponses;
+import io.swagger.v3.oas.annotations.tags.Tag;
+import java.util.List;
+import lombok.RequiredArgsConstructor;
+import org.springframework.web.bind.annotation.PostMapping;
+import org.springframework.web.bind.annotation.RequestMapping;
+import org.springframework.web.bind.annotation.RestController;
+
+@Tag(name = "추론결과 데이터 생성", description = "추론결과 데이터 생성 API")
+@RestController
+@RequiredArgsConstructor
+@RequestMapping("/api/inference/manual")
+public class InferenceManualApiController {
+
+  private final InferenceManualService inferenceManualService;
+
+  @Operation(summary = "추론 결과로 추론 목록 및 shp 생성", description = "추론 결과로 추론 목록 및 shp 생성")
+  @ApiResponses(
+      value = {
+        @ApiResponse(
+            responseCode = "200",
+            description = "데이터 저장 성공",
+            content =
+                @Content(
+                    mediaType = "application/json",
+                    schema =
+                        @Schema(implementation = InferenceResultShpDto.InferenceCntDto.class))),
+        @ApiResponse(responseCode = "400", description = "잘못된 검색 조건", content = @Content),
+        @ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
+      })
+  @PostMapping("/save")
+  public void saveTesting(List<Long> batchIds) {
+    inferenceManualService.saveResultsTesting(batchIds);
+  }
+}

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

@@ -8,6 +8,7 @@ import com.kamco.cd.kamcoback.inference.dto.InferenceResultDto;
 import com.kamco.cd.kamcoback.inference.dto.InferenceResultDto.InferenceServerStatusDto;
 import com.kamco.cd.kamcoback.inference.dto.InferenceResultDto.InferenceStatusDetailDto;
 import com.kamco.cd.kamcoback.inference.dto.InferenceResultDto.ResultList;
+import com.kamco.cd.kamcoback.inference.service.InferenceAsyncService;
 import com.kamco.cd.kamcoback.inference.service.InferenceResultService;
 import com.kamco.cd.kamcoback.log.dto.AuditLogDto;
 import com.kamco.cd.kamcoback.log.dto.AuditLogDto.DownloadReq;
@@ -18,7 +19,6 @@ import com.kamco.cd.kamcoback.model.dto.ModelMngDto;
 import com.kamco.cd.kamcoback.model.service.ModelMngService;
 import io.swagger.v3.oas.annotations.Operation;
 import io.swagger.v3.oas.annotations.Parameter;
-import io.swagger.v3.oas.annotations.enums.ParameterIn;
 import io.swagger.v3.oas.annotations.media.ArraySchema;
 import io.swagger.v3.oas.annotations.media.Content;
 import io.swagger.v3.oas.annotations.media.Schema;
@@ -28,6 +28,7 @@ import io.swagger.v3.oas.annotations.tags.Tag;
 import jakarta.servlet.http.HttpServletRequest;
 import jakarta.validation.Valid;
 import java.io.IOException;
+import java.nio.file.Files;
 import java.nio.file.Path;
 import java.time.LocalDate;
 import java.util.List;
@@ -36,6 +37,7 @@ import java.util.UUID;
 import lombok.RequiredArgsConstructor;
 import lombok.extern.log4j.Log4j2;
 import org.springframework.data.domain.Page;
+import org.springframework.http.HttpStatus;
 import org.springframework.http.ResponseEntity;
 import org.springframework.web.bind.annotation.DeleteMapping;
 import org.springframework.web.bind.annotation.GetMapping;
@@ -54,11 +56,13 @@ import org.springframework.web.bind.annotation.RestController;
 public class InferenceResultApiController {
 
   private final InferenceResultService inferenceResultService;
+  private final InferenceAsyncService inferenceAsyncService;
   private final MapSheetMngService mapSheetMngService;
   private final ModelMngService modelMngService;
   private final RangeDownloadResponder rangeDownloadResponder;
 
-  @Operation(summary = "추론관리 목록", description = "어드민 홈 > 추론관리 > 추론관리 > 추론관리 목록")
+  /** 추론관리 목록 화면에서 호출 */
+  @Operation(summary = "추론관리 목록", description = "추론관리 > 추론관리 목록 ")
   @ApiResponses(
       value = {
         @ApiResponse(
@@ -90,7 +94,8 @@ public class InferenceResultApiController {
     return ApiResponseDto.ok(analResList);
   }
 
-  @Operation(summary = "추론 진행 여부 확인", description = "어드민 홈 > 추론관리 > 추론관리 > 추론관리 목록")
+  /** 추론관리 목록 화면에서 호출 */
+  @Operation(summary = "추론 진행 여부 확인", description = "추론관리 > 추론관리 목록")
   @ApiResponses(
       value = {
         @ApiResponse(
@@ -112,7 +117,8 @@ public class InferenceResultApiController {
     return ApiResponseDto.ok(inferenceResultService.getProcessing());
   }
 
-  @Operation(summary = "년도 목록 조회", description = "어드민 홈 > 추론관리 > 추론목록 > 변화탐지 실행 정보 입력 > 년도 목록 조회")
+  /** 추론관리 목록 화면에서 호출 */
+  @Operation(summary = "년도 목록 조회", description = "추론관리 > 추론목록 > 변화탐지 실행 정보 입력 > 년도 목록 조회")
   @ApiResponses(
       value = {
         @ApiResponse(
@@ -130,7 +136,8 @@ public class InferenceResultApiController {
     return ApiResponseDto.ok(mapSheetMngService.findMapSheetMngDoneYyyyList());
   }
 
-  @Operation(summary = "변화탐지 실행 정보 입력", description = "어드민 홈 > 추론관리 > 추론목록 > 변화탐지 실행 정보 입력")
+  /** 변화탐지 실행 정보 입력화면에서 호출 */
+  @Operation(summary = "변화탐지 실행 정보 입력, 추론실행", description = "추론관리 > 추론목록 > 변화탐지 실행 정보 입력")
   @ApiResponses(
       value = {
         @ApiResponse(
@@ -155,7 +162,8 @@ public class InferenceResultApiController {
     return ApiResponseDto.ok(uuid);
   }
 
-  @Operation(summary = "추론 종료", description = "추론 종료")
+  /** 추론진행 현황 화면에서 호출 */
+  @Operation(summary = "추론 종료", description = "추론관리 > 추론목록 > 추론진행 현황")
   @ApiResponses(
       value = {
         @ApiResponse(
@@ -170,11 +178,13 @@ public class InferenceResultApiController {
       })
   @DeleteMapping("/end")
   public ApiResponseDto<UUID> getInferenceGeomList() {
-    UUID uuid = inferenceResultService.deleteInferenceEnd();
+    //    UUID uuid = inferenceResultService.deleteInferenceEnd();
+    UUID uuid = inferenceAsyncService.asyncInferenceEnd();
     return ApiResponseDto.ok(uuid);
   }
 
-  @Operation(summary = "분석 모델 선택 조회", description = "변화탐지 실행 정보 입력 모델선택 팝업 ")
+  /** 변화탐지 실행 정보 입력화면에서 호출 */
+  @Operation(summary = "분석 모델 선택 조회", description = "추론관리 > 추론목록 > 변화탐지 실행 정보 입력 > 모델선택 팝업 ")
   @ApiResponses(
       value = {
         @ApiResponse(
@@ -205,7 +215,8 @@ public class InferenceResultApiController {
     return ApiResponseDto.ok(result);
   }
 
-  @Operation(summary = "추론관리 추론진행 서버 현황", description = "추론관리 추론진행 서버 현황")
+  /** 추론진행 현황 화면에서 호출 */
+  @Operation(summary = "추론관리 추론진행 서버 현황", description = "추론관리 > 추론목록 > 추론진행 현황")
   @ApiResponses(
       value = {
         @ApiResponse(
@@ -224,7 +235,8 @@ public class InferenceResultApiController {
     return ApiResponseDto.ok(inferenceResultService.getInferenceServerStatusList());
   }
 
-  @Operation(summary = "추론관리 진행현황 상세", description = "어드민 홈 > 추론관리 > 추론관리 > 진행현황 상세")
+  /** 추론진행 현황 화면에서 호출 */
+  @Operation(summary = "추론관리 진행현황 상세", description = "추론관리 > 추론진행 현황")
   @ApiResponses(
       value = {
         @ApiResponse(
@@ -248,7 +260,8 @@ public class InferenceResultApiController {
     return ApiResponseDto.ok(inferenceResultService.getInferenceStatus(uuid));
   }
 
-  @Operation(summary = "추론결과 기본정보", description = "추론결과 기본정보")
+  /** 추론결과 화면에서 호출 */
+  @Operation(summary = "추론결과 기본정보", description = "추론관리 > 추론결과")
   @ApiResponses(
       value = {
         @ApiResponse(
@@ -269,7 +282,8 @@ public class InferenceResultApiController {
     return ApiResponseDto.ok(inferenceResultService.getInferenceResultInfo(uuid));
   }
 
-  @Operation(summary = "추론결과 분류별 탐지 건수", description = "추론결과 분류별 탐지 건수")
+  /** 추론결과 화면에서 호출 */
+  @Operation(summary = "추론결과 분류별 탐지 건수", description = "추론관리 > 추론결과")
   @ApiResponses(
       value = {
         @ApiResponse(
@@ -290,6 +304,7 @@ public class InferenceResultApiController {
     return ApiResponseDto.ok(inferenceResultService.getInferenceClassCountList(uuid));
   }
 
+  /** 추론결과 화면에서 호출 */
   @Operation(summary = "추론관리 분석결과 상세 목록", description = "추론관리 분석결과 상세 목록 geojson 데이터 조회")
   @ApiResponses(
       value = {
@@ -329,26 +344,14 @@ public class InferenceResultApiController {
     return ApiResponseDto.ok(geomList);
   }
 
-  @Operation(
-      summary = "shp 파일 다운로드",
-      description = "추론관리 분석결과 shp 파일 다운로드",
-      parameters = {
-        @Parameter(
-            name = "kamco-download-uuid",
-            in = ParameterIn.HEADER,
-            required = true,
-            description = "다운로드 요청 UUID",
-            schema =
-                @Schema(
-                    type = "string",
-                    format = "uuid",
-                    example = "69c4e56c-e0bf-4742-9225-bba9aae39052"))
-      })
+  /** 추론결과 화면에서 호출 */
+  /** 다운로드는 a 링크로 받는걸로 변경되어 사번을 파라미터로 받아서 로그에 저장하는걸로 변경함 */
+  @Operation(summary = "shp 파일 다운로드", description = "추론관리 분석결과 shp 파일 다운로드")
   @ApiResponses(
       value = {
         @ApiResponse(
             responseCode = "200",
-            description = "shp zip파일 다운로드",
+            description = "shp 파일 다운로드",
             content =
                 @Content(
                     mediaType = "application/octet-stream",
@@ -357,13 +360,16 @@ public class InferenceResultApiController {
         @ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
       })
   @GetMapping("/download/{uuid}")
-  public ResponseEntity<?> download(@PathVariable UUID uuid, HttpServletRequest request)
+  public ResponseEntity<?> download(
+      @PathVariable UUID uuid,
+      @Parameter(description = "사번", example = "123456") @RequestParam String employeeNo,
+      HttpServletRequest request)
       throws IOException {
-
     String path;
     String uid;
 
     try {
+      // 추론결과 shp zip 파일 확인하여 다운로드 경로 생성
       Map<String, Object> map = inferenceResultService.shpDownloadPath(uuid);
       path = String.valueOf(map.get("path"));
       uid = String.valueOf(map.get("uid"));
@@ -372,11 +378,14 @@ public class InferenceResultApiController {
     }
 
     Path zipPath = Path.of(path);
+    if (!Files.isRegularFile(zipPath)) {
+      return ResponseEntity.status(HttpStatus.NOT_FOUND).body("다운로드 받을 파일이 없습니다.");
+    }
 
-    // Range + 200/206/416 공통 처리 (추가 헤더 포함)
     return rangeDownloadResponder.buildZipResponse(zipPath, uid + ".zip", request);
   }
 
+  /** 추론결과 화면에서 호출 */
   @Operation(summary = "shp 파일 다운로드 이력 조회", description = "추론관리 분석결과 shp 파일 다운로드 이력 조회")
   @GetMapping(value = "/download-audit/{uuid}")
   @ApiResponses(
@@ -419,7 +428,8 @@ public class InferenceResultApiController {
     return ApiResponseDto.ok(inferenceResultService.getDownloadAudit(searchReq, downloadReq));
   }
 
-  @Operation(summary = "추론 실행중인 도엽 목록", description = "추론관리 실행중인 도엽명 5k 목록")
+  /** 추론진행 현황 화면에서 호출, 분석도엽 부분 옵션일때 분석중인 도엽 확인용 */
+  @Operation(summary = "추론관리 분석중인 도엽명 5k 목록", description = "추론관리 분석중인 도엽명 50k 목록")
   @ApiResponses({
     @ApiResponse(
         responseCode = "200",
@@ -438,4 +448,22 @@ public class InferenceResultApiController {
           UUID uuid) {
     return ApiResponseDto.ok(inferenceResultService.getInferenceRunMapId(uuid));
   }
+
+  @Operation(summary = "추론 삭제", description = "추론관리 > 추론목록 > 추론 상세 > 추론 삭제")
+  @ApiResponses(
+      value = {
+        @ApiResponse(
+            responseCode = "201",
+            description = "종료 성공",
+            content =
+                @Content(
+                    mediaType = "application/json",
+                    schema = @Schema(implementation = Page.class))),
+        @ApiResponse(responseCode = "400", description = "잘못된 검색 조건", content = @Content),
+        @ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
+      })
+  @DeleteMapping("/delete-inference/{uuid}")
+  public ApiResponseDto<ApiResponseDto.ResponseObj> deleteInference(@PathVariable UUID uuid) {
+    return ApiResponseDto.ok(inferenceResultService.deleteInference(uuid));
+  }
 }

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

@@ -1,90 +0,0 @@
-package com.kamco.cd.kamcoback.inference;
-
-import com.kamco.cd.kamcoback.common.exception.CustomApiException;
-import com.kamco.cd.kamcoback.common.geometry.GeoJsonFileWriter.Scene;
-import com.kamco.cd.kamcoback.config.api.ApiResponseDto;
-import com.kamco.cd.kamcoback.inference.dto.InferenceResultShpDto;
-import com.kamco.cd.kamcoback.inference.service.InferenceResultShpService;
-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.List;
-import java.util.Map;
-import java.util.UUID;
-import lombok.RequiredArgsConstructor;
-import lombok.extern.log4j.Log4j2;
-import org.springframework.http.HttpStatus;
-import org.springframework.web.bind.annotation.PathVariable;
-import org.springframework.web.bind.annotation.PostMapping;
-import org.springframework.web.bind.annotation.RequestBody;
-import org.springframework.web.bind.annotation.RequestMapping;
-import org.springframework.web.bind.annotation.RestController;
-
-@Tag(name = "추론결과 데이터 생성", description = "추론결과 데이터 생성 API")
-@Log4j2
-@RestController
-@RequiredArgsConstructor
-@RequestMapping("/api/inference/shp")
-public class InferenceResultShpApiController {
-
-  private final InferenceResultShpService inferenceResultShpService;
-  public static final String MAP_ID =
-      "{ \"mapIds\": [\"37716096\",\"37716095\",\"37716094\",\"37716091\",\"37716086\",\"37716085\",\"37716084\",\"37716083\",\"37716076\",\"37716066\",\"37716065\",\"37716064\",\"37716063\",\"37716061\",\"37716051\",\"37716011\"] }";
-
-  @Operation(summary = "추론결과 데이터 저장", description = "추론결과 데이터 저장")
-  @ApiResponses(
-      value = {
-        @ApiResponse(
-            responseCode = "201",
-            description = "데이터 저장 성공",
-            content =
-                @Content(
-                    mediaType = "application/json",
-                    schema =
-                        @Schema(implementation = InferenceResultShpDto.InferenceCntDto.class))),
-        @ApiResponse(responseCode = "400", description = "잘못된 검색 조건", content = @Content),
-        @ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
-      })
-  @PostMapping("/save/{learnId}")
-  public ApiResponseDto<InferenceResultShpDto.InferenceCntDto> saveInferenceData(
-      @PathVariable Long learnId) {
-    return ApiResponseDto.createOK(inferenceResultShpService.saveInferenceResultData(learnId));
-  }
-
-  @Operation(summary = "추론결과 shp 생성", description = "추론결과 shp 생성")
-  @PostMapping("/shp/{uuid}")
-  public ApiResponseDto<Void> createShp(
-      @Parameter(example = "feb2ec0b-a0f7-49ca-95e4-98b2231bdaae") @PathVariable UUID uuid) {
-    inferenceResultShpService.createShp(uuid);
-    return ApiResponseDto.createOK(null);
-  }
-
-  @Operation(summary = "추론실행에 필요한 geojson 파일 생성", description = "추론실행에 필요한 geojson 파일 생성")
-  @PostMapping("/geojson/{yyyy}/{mapSheetScope}/{detectOption}")
-  public ApiResponseDto<Scene> createGeojson(
-      @Schema(description = "년도") @PathVariable String yyyy,
-      @Schema(description = "전체(ALL),부분(PART)", example = "PART") @PathVariable
-          String mapSheetScope,
-      @Schema(description = "추론제외(EXCL),이전 년도 도엽 사용(PREV)", example = "EXCL") @PathVariable
-          String detectOption,
-      @Schema(description = "5k도엽번호", example = MAP_ID) @RequestBody Map<String, Object> body) {
-
-    Object raw = body.get("mapIds");
-
-    if (raw == null) {
-      throw new CustomApiException("BAD_REQUEST", HttpStatus.BAD_REQUEST);
-    }
-
-    @SuppressWarnings("unchecked")
-    List<String> mapIds = (List<String>) raw;
-
-    Scene scene =
-        inferenceResultShpService.createGeojson(yyyy, mapSheetScope, detectOption, mapIds);
-
-    return ApiResponseDto.createOK(scene);
-  }
-}

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

@@ -1,57 +0,0 @@
-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/InferenceDetailDto.java

@@ -8,6 +8,7 @@ import com.fasterxml.jackson.databind.JsonNode;
 import com.fasterxml.jackson.databind.ObjectMapper;
 import com.kamco.cd.kamcoback.common.enums.DetectionClassification;
 import com.kamco.cd.kamcoback.common.enums.ImageryFitStatus;
+import com.kamco.cd.kamcoback.common.utils.HeaderUtil;
 import com.kamco.cd.kamcoback.common.utils.interfaces.JsonFormatDttm;
 import com.kamco.cd.kamcoback.inference.dto.InferenceResultDto.DetectOption;
 import com.kamco.cd.kamcoback.inference.dto.InferenceResultDto.MapSheetScope;
@@ -156,9 +157,14 @@ public class InferenceDetailDto {
     String classAfterName;
     Long classAfterCnt;
 
+    boolean english = HeaderUtil.isEnglishRequest();
+
     public Dashboard(String classAfterCd, Long classAfterCnt) {
       this.classAfterCd = classAfterCd;
-      this.classAfterName = DetectionClassification.fromString(classAfterCd).getDesc();
+      this.classAfterName =
+          english
+              ? DetectionClassification.fromString(classAfterCd).getId()
+              : DetectionClassification.fromString(classAfterCd).getDesc();
       this.classAfterCnt = classAfterCnt;
     }
   }
@@ -294,8 +300,10 @@ public class InferenceDetailDto {
   }
 
   @Getter
+  @Setter
   public static class Geom {
 
+    Long geoUid;
     UUID uuid;
     String uid;
     Integer compareYyyy;
@@ -313,7 +321,10 @@ public class InferenceDetailDto {
     String pnu;
     String fitState;
 
+    boolean english = HeaderUtil.isEnglishRequest();
+
     public Geom(
+        Long geoUid,
         UUID uuid,
         String uid,
         Integer compareYyyy,
@@ -328,16 +339,23 @@ public class InferenceDetailDto {
         String subUid,
         String pnu,
         String fitState) {
+      this.geoUid = geoUid;
       this.uuid = uuid;
       this.uid = uid;
       this.compareYyyy = compareYyyy;
       this.targetYyyy = targetYyyy;
       this.cdProb = cdProb;
       this.classBeforeCd = classBeforeCd;
-      this.classBeforeName = DetectionClassification.fromString(classBeforeCd).getDesc();
+      this.classBeforeName =
+          english
+              ? DetectionClassification.fromString(classBeforeCd).getId()
+              : DetectionClassification.fromString(classBeforeCd).getDesc();
       this.classBeforeProb = classBeforeProb;
       this.classAfterCd = classAfterCd;
-      this.classAfterName = DetectionClassification.fromString(classAfterCd).getDesc();
+      this.classAfterName =
+          english
+              ? DetectionClassification.fromString(classAfterCd).getId()
+              : DetectionClassification.fromString(classAfterCd).getDesc();
       this.classAfterProb = classAfterProb;
       this.mapSheetNum = mapSheetNum;
       this.mapSheetName = mapSheetName;
@@ -424,11 +442,13 @@ public class InferenceDetailDto {
     private Long m1BatchId;
     private Long m2BatchId;
     private Long m3BatchId;
+    private Long m4BatchId;
     private String status;
     private String runningModelType;
     private UUID m1ModelUuid;
     private UUID m2ModelUuid;
     private UUID m3ModelUuid;
+    private UUID m4ModelUuid;
     private String uid;
   }
 
@@ -443,6 +463,7 @@ public class InferenceDetailDto {
     private String modelVer1;
     private String modelVer2;
     private String modelVer3;
+    private String modelVer4;
     private Integer compareYyyy;
     private Integer targetYyyy;
     private String detectOption;
@@ -458,12 +479,14 @@ public class InferenceDetailDto {
     private String bboxGeom;
     private String bboxCenterPoint;
     private UUID inferenceUuid;
+    private String status;
 
     public AnalResultInfo(
         String analTitle,
         String modelVer1,
         String modelVer2,
         String modelVer3,
+        String modelVer4,
         Integer compareYyyy,
         Integer targetYyyy,
         String detectOption,
@@ -474,11 +497,13 @@ public class InferenceDetailDto {
         String subUid,
         Boolean applyYn,
         ZonedDateTime applyDttm,
-        UUID inferenceUuid) {
+        UUID inferenceUuid,
+        String status) {
       this.analTitle = analTitle;
       this.modelVer1 = modelVer1;
       this.modelVer2 = modelVer2;
       this.modelVer3 = modelVer3;
+      this.modelVer4 = modelVer4;
       this.compareYyyy = compareYyyy;
       this.targetYyyy = targetYyyy;
       this.detectOption = DetectOption.getDescByCode(detectOption);
@@ -489,6 +514,7 @@ public class InferenceDetailDto {
       this.subUid = subUid;
       this.applyYn = applyYn;
       this.applyDttm = applyDttm;
+      this.status = status;
       Duration elapsed =
           (inferStartDttm != null && inferEndDttm != null)
               ? Duration.between(inferStartDttm, inferEndDttm)
@@ -538,6 +564,10 @@ public class InferenceDetailDto {
     public Boolean getApplyYn() {
       return this.applyYn != null && this.applyYn;
     }
+
+    public String getStatusNm() {
+      return InferenceResultDto.Status.getDescByCode(this.status);
+    }
   }
 
   @Getter

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

@@ -2,6 +2,7 @@ package com.kamco.cd.kamcoback.inference.dto;
 
 import com.fasterxml.jackson.annotation.JsonIgnore;
 import com.fasterxml.jackson.annotation.JsonProperty;
+import com.kamco.cd.kamcoback.common.utils.HeaderUtil;
 import com.kamco.cd.kamcoback.common.utils.enums.EnumType;
 import com.kamco.cd.kamcoback.common.utils.interfaces.EnumValid;
 import com.kamco.cd.kamcoback.common.utils.interfaces.JsonFormatDttm;
@@ -14,10 +15,13 @@ import java.time.ZonedDateTime;
 import java.util.Arrays;
 import java.util.List;
 import java.util.UUID;
+import java.util.regex.Matcher;
+import java.util.regex.Pattern;
 import lombok.AllArgsConstructor;
 import lombok.Getter;
 import lombok.NoArgsConstructor;
 import lombok.Setter;
+import lombok.ToString;
 import org.springframework.data.domain.PageRequest;
 import org.springframework.data.domain.Pageable;
 
@@ -50,6 +54,11 @@ public class InferenceResultDto {
     public String getText() {
       return desc;
     }
+
+    @Override
+    public String getTextEn() {
+      return desc;
+    }
   }
 
   /** 탐지 데이터 옵션 dto */
@@ -78,6 +87,11 @@ public class InferenceResultDto {
     public String getText() {
       return desc;
     }
+
+    @Override
+    public String getTextEn() {
+      return desc;
+    }
   }
 
   @Getter
@@ -86,6 +100,7 @@ public class InferenceResultDto {
     READY("대기"),
     IN_PROGRESS("진행중"),
     END("완료"),
+    END_FAIL("종료실패"),
     FORCED_END("강제종료");
     private final String desc;
 
@@ -94,8 +109,13 @@ public class InferenceResultDto {
     }
 
     public static String getDescByCode(String code) {
+      boolean english = HeaderUtil.isEnglishRequest();
+      if (english) {
+        return fromCode(code).getTextEn();
+      } else {
         return fromCode(code).getDesc();
       }
+    }
 
     @Override
     public String getId() {
@@ -106,6 +126,11 @@ public class InferenceResultDto {
     public String getText() {
       return desc;
     }
+
+    @Override
+    public String getTextEn() {
+      return name();
+    }
   }
 
   @Getter
@@ -127,6 +152,11 @@ public class InferenceResultDto {
     public String getText() {
       return desc;
     }
+
+    @Override
+    public String getTextEn() {
+      return desc;
+    }
   }
 
   /** 목록조회 dto */
@@ -209,10 +239,49 @@ public class InferenceResultDto {
       long m = (s % 3600) / 60;
       long sec = s % 60;
 
+      boolean english = HeaderUtil.isEnglishRequest();
+      if (english) {
+        return String.format("%dh %dm %ds", h, m, sec);
+      } else {
         return String.format("%d시간 %d분 %d초", h, m, sec);
       }
     }
 
+    @JsonProperty("mapSheetCnt")
+    public String getMapSheetCnt() {
+      boolean english = HeaderUtil.isEnglishRequest();
+      String text = this.mapSheetCnt;
+
+      if (!english) {
+        return text;
+      }
+
+      // "창원 외 34건"
+      Pattern otherPattern = Pattern.compile("^(.+) 외 (\\d+)건$");
+      Matcher otherMatcher = otherPattern.matcher(text);
+
+      if (otherMatcher.find()) {
+        String name = otherMatcher.group(1);
+        int count = Integer.parseInt(otherMatcher.group(2));
+
+        return name + " and " + count + (count == 1 ? " other" : " others");
+      }
+
+      // "창원 1건"
+      Pattern itemPattern = Pattern.compile("^(.+) (\\d+)건$");
+      Matcher itemMatcher = itemPattern.matcher(text);
+
+      if (itemMatcher.find()) {
+        String name = itemMatcher.group(1);
+        int count = Integer.parseInt(itemMatcher.group(2));
+
+        return name + " (" + count + (count == 1 ? " item" : " items") + ")";
+      }
+
+      return text;
+    }
+  }
+
   /** 목록조회 검색 조건 dto */
   @Getter
   @Setter
@@ -240,24 +309,29 @@ public class InferenceResultDto {
   @Setter
   @NoArgsConstructor
   @AllArgsConstructor
+  @ToString
   public static class RegReq {
 
     @Schema(description = "제목", example = "2023-2024 변화탐지 테스트")
     @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;
 
+    @Schema(description = "G4", example = "58c1153e-dec6-4424-82a1-189083a9d9dc")
+    @NotNull
+    private UUID model4Uuid;
+
     @Schema(description = "비교년도", example = "2023")
     @NotNull
     private Integer compareYyyy;
@@ -272,11 +346,10 @@ public class InferenceResultDto {
     private String mapSheetScope;
 
     @Schema(description = "탐지 데이터 옵션 - 추론제외(EXCL), 이전 년도 도엽 사용(PREV)", example = "EXCL")
-    @NotBlank
-    @EnumValid(
-        enumClass = DetectOption.class,
-        message = "탐지 데이터 옵션은 '추론제외', '이전 년도 도엽 사용' 만 사용 가능합니다.")
-    private String detectOption;
+    //    @EnumValid(
+    //        enumClass = DetectOption.class,
+    //        message = "탐지 데이터 옵션은 '추론제외', '이전 년도 도엽 사용' 만 사용 가능합니다.")
+    private DetectOption detectOption;
 
     @Schema(description = "5k 도협 번호 목록", example = "[33605,33606, 33610, 34802, 35603, 35611]")
     @NotNull
@@ -309,6 +382,10 @@ public class InferenceResultDto {
     @JsonFormatDttm
     ZonedDateTime m3ModelStartDttm;
 
+    @Schema(description = "모델4 사용시간 시작일시")
+    @JsonFormatDttm
+    ZonedDateTime m4ModelStartDttm;
+
     @Schema(description = "모델1 사용시간 종료일시")
     @JsonFormatDttm
     ZonedDateTime m1ModelEndDttm;
@@ -321,6 +398,10 @@ public class InferenceResultDto {
     @JsonFormatDttm
     ZonedDateTime m3ModelEndDttm;
 
+    @Schema(description = "모델4 사용시간 종료일시")
+    @JsonFormatDttm
+    ZonedDateTime m4ModelEndDttm;
+
     @Schema(description = "탐지대상 도엽수")
     private Long detectingCnt;
 
@@ -333,6 +414,9 @@ public class InferenceResultDto {
     @Schema(description = "모델3 분석 대기")
     private Integer m3PendingJobs;
 
+    @Schema(description = "모델4 분석 대기")
+    private Integer m4PendingJobs;
+
     @Schema(description = "모델1 분석 진행중")
     private Integer m1RunningJobs;
 
@@ -342,6 +426,9 @@ public class InferenceResultDto {
     @Schema(description = "모델3 분석 진행중")
     private Integer m3RunningJobs;
 
+    @Schema(description = "모델4 분석 진행중")
+    private Integer m4RunningJobs;
+
     @Schema(description = "모델1 분석 완료")
     private Integer m1CompletedJobs;
 
@@ -351,6 +438,9 @@ public class InferenceResultDto {
     @Schema(description = "모델3 분석 완료")
     private Integer m3CompletedJobs;
 
+    @Schema(description = "모델4 분석 완료")
+    private Integer m4CompletedJobs;
+
     @Schema(description = "모델1 분석 실패")
     private Integer m1FailedJobs;
 
@@ -360,6 +450,9 @@ public class InferenceResultDto {
     @Schema(description = "모델3 분석 실패")
     private Integer m3FailedJobs;
 
+    @Schema(description = "모델4 분석 실패")
+    private Integer m4FailedJobs;
+
     @Schema(description = "변화탐지 제목")
     private String title;
 
@@ -395,6 +488,9 @@ public class InferenceResultDto {
     @Schema(description = "모델3 버전")
     private String modelVer3;
 
+    @Schema(description = "모델4 버전")
+    private String modelVer4;
+
     @Schema(description = "탑지 도엽 수")
     @JsonIgnore
     private Long totalJobs;
@@ -404,21 +500,27 @@ public class InferenceResultDto {
         Integer m1PendingJobs,
         Integer m2PendingJobs,
         Integer m3PendingJobs,
+        Integer m4PendingJobs,
         Integer m1RunningJobs,
         Integer m2RunningJobs,
         Integer m3RunningJobs,
+        Integer m4RunningJobs,
         Integer m1CompletedJobs,
         Integer m2CompletedJobs,
         Integer m3CompletedJobs,
+        Integer m4CompletedJobs,
         Integer m1FailedJobs,
         Integer m2FailedJobs,
         Integer m3FailedJobs,
+        Integer m4FailedJobs,
         ZonedDateTime m1ModelStartDttm,
         ZonedDateTime m2ModelStartDttm,
         ZonedDateTime m3ModelStartDttm,
+        ZonedDateTime m4ModelStartDttm,
         ZonedDateTime m1ModelEndDttm,
         ZonedDateTime m2ModelEndDttm,
         ZonedDateTime m3ModelEndDttm,
+        ZonedDateTime m4ModelEndDttm,
         String title,
         Integer compareYyyy,
         Integer targetYyyy,
@@ -430,26 +532,33 @@ public class InferenceResultDto {
         String modelVer1,
         String modelVer2,
         String modelVer3,
+        String modelVer4,
         Long totalJobs) {
       this.detectingCnt = detectingCnt;
       this.m1PendingJobs = m1PendingJobs;
       this.m2PendingJobs = m2PendingJobs;
       this.m3PendingJobs = m3PendingJobs;
+      this.m4PendingJobs = m4PendingJobs;
       this.m1RunningJobs = m1RunningJobs;
       this.m2RunningJobs = m2RunningJobs;
       this.m3RunningJobs = m3RunningJobs;
+      this.m4RunningJobs = m4RunningJobs;
       this.m1CompletedJobs = m1CompletedJobs;
       this.m2CompletedJobs = m2CompletedJobs;
       this.m3CompletedJobs = m3CompletedJobs;
+      this.m4CompletedJobs = m4CompletedJobs;
       this.m1FailedJobs = m1FailedJobs;
       this.m2FailedJobs = m2FailedJobs;
       this.m3FailedJobs = m3FailedJobs;
+      this.m4FailedJobs = m4FailedJobs;
       this.m1ModelStartDttm = m1ModelStartDttm;
       this.m2ModelStartDttm = m2ModelStartDttm;
       this.m3ModelStartDttm = m3ModelStartDttm;
+      this.m4ModelStartDttm = m4ModelStartDttm;
       this.m1ModelEndDttm = m1ModelEndDttm;
       this.m2ModelEndDttm = m2ModelEndDttm;
       this.m3ModelEndDttm = m3ModelEndDttm;
+      this.m4ModelEndDttm = m4ModelEndDttm;
       this.title = title;
       this.compareYyyy = compareYyyy;
       this.targetYyyy = targetYyyy;
@@ -461,6 +570,7 @@ public class InferenceResultDto {
       this.modelVer1 = modelVer1;
       this.modelVer2 = modelVer2;
       this.modelVer3 = modelVer3;
+      this.modelVer4 = modelVer4;
       this.totalJobs = totalJobs;
     }
 
@@ -468,14 +578,16 @@ public class InferenceResultDto {
     @JsonProperty("progress")
     private int getProgress() {
       long tiles = this.totalJobs == null ? 0L : this.totalJobs; // 도엽수
-      int models = 3; // 모델 개수
+      int models = 4; // 모델 개수
       int completed =
           this.m1CompletedJobs
               + this.m2CompletedJobs
               + this.m3CompletedJobs
+              + this.m4CompletedJobs
               + this.m1FailedJobs
               + this.m2FailedJobs
-              + this.m3FailedJobs; // 완료수
+              + this.m3FailedJobs
+              + this.m4FailedJobs; // 완료수
 
       long total = tiles * models; // 전체 작업량
       if (completed >= total) {
@@ -514,6 +626,12 @@ public class InferenceResultDto {
       return formatElapsedTime(this.m3ModelStartDttm, this.m3ModelEndDttm);
     }
 
+    @Schema(description = "G4 사용시간")
+    @JsonProperty("m4ElapsedTim")
+    public String getM4ElapsedTime() {
+      return formatElapsedTime(this.m4ModelStartDttm, this.m4ModelEndDttm);
+    }
+
     private String formatElapsedTime(ZonedDateTime start, ZonedDateTime end) {
       if (start == null || end == null) {
         return null;
@@ -676,4 +794,14 @@ public class InferenceResultDto {
     private Long m2ModelBatchId;
     private Long m3ModelBatchId;
   }
+
+  @Getter
+  @Setter
+  @NoArgsConstructor
+  @AllArgsConstructor
+  public static class MapSheetFallbackYearDto {
+
+    private String mapSheetNum;
+    private Integer mngYyyy;
+  }
 }

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

@@ -71,14 +71,16 @@ public class InferenceResultShpDto {
   @NoArgsConstructor
   public static class InferenceCntDto {
 
-    @Schema(description = "추론 결과(inference_results)를 기준으로 신규 목록 저장 터이터 건수", example = "120")
+    @Schema(
+        description = "추론 결과(inference_results_testing)를 기준으로 데이터 목록 저장 터이터 건수",
+        example = "120")
     int sheetAnalDataCnt;
 
-    @Schema(description = "추론 결과(inference_results)를 기준으로 신규 저장 데이터 건수", example = "120")
-    int inferenceCnt;
-
-    @Schema(description = "추론 결과(inference_results)를 기준으로 신규 저장 Geom 데이터 건수", example = "120")
+    @Schema(description = "추론 결과(inference_results_testing)를 기준으로 저장 Geom 데이터 건수", example = "120")
     int inferenceGeomCnt;
+
+    @Schema(description = "추론 결과(inference_results_testing)를 기준으로 저장 집계 데이터 건수", example = "120")
+    int inferenceSttcnt;
   }
 
   @Setter

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

@@ -0,0 +1,117 @@
+package com.kamco.cd.kamcoback.inference.service;
+
+import com.kamco.cd.kamcoback.common.exception.CustomApiException;
+import com.kamco.cd.kamcoback.common.inference.service.InferenceCommonService;
+import com.kamco.cd.kamcoback.common.utils.UserUtil;
+import com.kamco.cd.kamcoback.config.resttemplate.ExternalHttpClient;
+import com.kamco.cd.kamcoback.config.resttemplate.ExternalHttpClient.ExternalCallResult;
+import com.kamco.cd.kamcoback.inference.dto.InferenceResultDto.SaveInferenceAiDto;
+import com.kamco.cd.kamcoback.inference.dto.InferenceResultDto.Status;
+import com.kamco.cd.kamcoback.postgres.core.AuditLogCoreService;
+import com.kamco.cd.kamcoback.postgres.core.InferenceResultCoreService;
+import com.kamco.cd.kamcoback.postgres.core.MapSheetMngCoreService;
+import com.kamco.cd.kamcoback.postgres.core.ModelMngCoreService;
+import java.time.ZonedDateTime;
+import java.util.List;
+import java.util.UUID;
+import lombok.RequiredArgsConstructor;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.beans.factory.annotation.Value;
+import org.springframework.http.HttpHeaders;
+import org.springframework.http.HttpMethod;
+import org.springframework.http.HttpStatus;
+import org.springframework.http.MediaType;
+import org.springframework.scheduling.annotation.Async;
+import org.springframework.stereotype.Service;
+import org.springframework.transaction.annotation.Transactional;
+
+/** 추론 관리 */
+@Service
+@Slf4j
+@RequiredArgsConstructor
+@Transactional(readOnly = true)
+public class InferenceAsyncService {
+
+  private final InferenceResultCoreService inferenceResultCoreService;
+  private final MapSheetMngCoreService mapSheetMngCoreService;
+  private final ModelMngCoreService modelMngCoreService;
+  private final AuditLogCoreService auditLogCoreService;
+  private final InferenceCommonService inferenceCommonService;
+
+  private final ExternalHttpClient externalHttpClient;
+  private final UserUtil userUtil;
+
+  @Value("${inference.batch-url}")
+  private String batchUrl;
+
+  @Value("${inference.inference-server-name}")
+  private String inferenceServerName;
+
+  @Value("${file.dataset-dir}")
+  private String datasetDir;
+
+  @Value("${spring.profiles.active}")
+  private String activeEnv;
+
+  @Value("${inference.geojson-dir}")
+  private String inferenceDir;
+
+  // 0313
+  @Transactional
+  public UUID asyncInferenceEnd() {
+    SaveInferenceAiDto dto = inferenceResultCoreService.getProcessing();
+    if (dto == null) {
+      throw new CustomApiException("NOT_FOUND", HttpStatus.NOT_FOUND);
+    }
+
+    this.deleteInferenceEndAsync(dto); // 비동기 종료 호출
+
+    return dto.getUuid();
+  }
+
+  // 0313
+  @Async("inferenceEndExecutor")
+  @Transactional
+  public void deleteInferenceEndAsync(SaveInferenceAiDto dto) {
+    Long batchId = dto.getBatchId();
+    String url = batchUrl + "/" + batchId;
+
+    HttpHeaders headers = new HttpHeaders();
+    headers.setContentType(MediaType.APPLICATION_JSON);
+    headers.setAccept(List.of(MediaType.APPLICATION_JSON));
+
+    try {
+      log.info("[추론 종료 비동기 시작] uuid={}, batchId={}", dto.getUuid(), batchId);
+
+      ExternalCallResult<String> result =
+          externalHttpClient.callLong(url, HttpMethod.DELETE, dto, headers, String.class);
+
+      if (!result.success()) {
+        log.error("[추론 종료 실패] 외부 API 호출 실패. uuid={}, batchId={}", dto.getUuid(), batchId);
+
+        SaveInferenceAiDto failRequest = new SaveInferenceAiDto();
+        failRequest.setUuid(dto.getUuid());
+        failRequest.setStatus(Status.END_FAIL.getId()); // TODO: 종료실패 상태 추가하는 게 맞는지?
+        failRequest.setUpdateUid(userUtil.getId());
+        failRequest.setInferEndDttm(ZonedDateTime.now());
+        inferenceResultCoreService.update(failRequest);
+        return;
+      }
+
+      SaveInferenceAiDto request = new SaveInferenceAiDto();
+      request.setStatus(Status.FORCED_END.getId());
+      request.setUuid(dto.getUuid());
+      request.setUpdateUid(userUtil.getId());
+      request.setInferEndDttm(ZonedDateTime.now());
+      inferenceResultCoreService.update(request);
+
+      Long learnId = inferenceResultCoreService.getInferenceLearnIdByUuid(dto.getUuid());
+      inferenceResultCoreService.upsertGeomData(learnId);
+
+      log.info("[추론 종료 비동기 완료] uuid={}, batchId={}", dto.getUuid(), batchId);
+
+    } catch (Exception e) {
+      log.error("[추론 종료 비동기 예외] uuid={}, batchId={}", dto.getUuid(), batchId, e);
+    }
+  }
+}

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

@@ -1,10 +0,0 @@
-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

@@ -1,22 +1,61 @@
 package com.kamco.cd.kamcoback.inference.service;
 
+import com.kamco.cd.kamcoback.common.exception.CustomApiException;
 import com.kamco.cd.kamcoback.inference.dto.InferenceResultsTestingDto;
 import com.kamco.cd.kamcoback.postgres.core.InferenceResultCoreService;
+import com.kamco.cd.kamcoback.postgres.core.ModelMngCoreService;
 import java.util.List;
 import lombok.RequiredArgsConstructor;
+import org.springframework.http.HttpStatus;
 import org.springframework.stereotype.Service;
 
 @Service
 @RequiredArgsConstructor
 public class InferenceManualService {
   private final InferenceResultCoreService inferenceResultCoreService;
+  private final ModelMngCoreService modelMngCoreService;
 
-  public void getResultsTesting(List<Long> batchIds) {
-    List<InferenceResultsTestingDto.Basic> resultList =
-        inferenceResultCoreService.getInferenceResults(batchIds);
+  public void saveResultsTesting(List<Long> batchIds) {
+    // 배치 id로 추론 결과 testing 테이블에서 조회
+    List<InferenceResultsTestingDto.Basic> resultInfoList =
+        inferenceResultCoreService.getInferenceResultGroupList(batchIds);
 
-    if (resultList.isEmpty()) {}
+    if (resultInfoList.isEmpty()) {
+      throw new CustomApiException("NOT_FOUND", HttpStatus.NOT_FOUND);
+    }
+
+    //    Long compareYear = resultInfoList.getFirst().getBeforeYear();
+    //    Long targetYear = resultInfoList.getFirst().getAfterYear();
+    //    String title = compareYear + "-" + targetYear + "변화탐지";
+    //
+    //    InferenceResultDto.RegReq inferenceDto =  new InferenceResultDto.RegReq();
+    //    inferenceDto.setTitle(title);
+    //    inferenceDto.setCompareYyyy(Integer.valueOf(compareYear));
+    //    inferenceDto.setTargetYyyy(targetYear);
+    //    // 추론 기본정보 저장
+    //    for (InferenceResultsTestingDto.Basic result : resultInfoList) {
+    //
+    //      if (result.getModelVersion().startsWith(ModelType.G1.getId()) ||
+    // result.getModelVersion().startsWith("M1")) {
+    //        ModelMngDto.Basic model =
+    // modelMngCoreService.findByModelVer(result.getModelVersion());
+    //        inferenceDto.setModel1Uuid(model.getUuid());
+    //
+    //      } else if (result.getModelVersion().startsWith("G2") ||
+    // result.getModelVersion().startsWith("M2")) {
+    //        ModelMngDto.Basic model =
+    // modelMngCoreService.findByModelVer(result.getModelVersion());
+    //        inferenceDto.setModel2Uuid(model.getUuid());
+    //
+    //      } else if (result.getModelVersion().startsWith("G3") ||
+    // result.getModelVersion().startsWith("M3")) {
+    //        ModelMngDto.Basic model =
+    // modelMngCoreService.findByModelVer(result.getModelVersion());
+    //        inferenceDto.setModel3Uuid(model.getUuid());
+    //      }
+    //
+    //      System.out.println(result);
+    //    }
 
-    for (InferenceResultsTestingDto.Basic result : resultList) {}
   }
 }

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

@@ -1,30 +1,19 @@
 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;
 import com.kamco.cd.kamcoback.common.geometry.GeoJsonFileWriter.ImageFeature;
 import com.kamco.cd.kamcoback.common.geometry.GeoJsonFileWriter.Scene;
+import com.kamco.cd.kamcoback.common.inference.service.InferenceCommonService;
+import com.kamco.cd.kamcoback.common.inference.utils.GeoJsonValidator;
 import com.kamco.cd.kamcoback.common.utils.UserUtil;
+import com.kamco.cd.kamcoback.config.api.ApiResponseDto;
 import com.kamco.cd.kamcoback.config.resttemplate.ExternalHttpClient;
 import com.kamco.cd.kamcoback.config.resttemplate.ExternalHttpClient.ExternalCallResult;
 import com.kamco.cd.kamcoback.inference.dto.InferenceDetailDto;
-import com.kamco.cd.kamcoback.inference.dto.InferenceDetailDto.AnalResultInfo;
-import com.kamco.cd.kamcoback.inference.dto.InferenceDetailDto.Dashboard;
-import com.kamco.cd.kamcoback.inference.dto.InferenceDetailDto.Detail;
-import com.kamco.cd.kamcoback.inference.dto.InferenceDetailDto.Geom;
-import com.kamco.cd.kamcoback.inference.dto.InferenceDetailDto.MapSheet;
-import com.kamco.cd.kamcoback.inference.dto.InferenceDetailDto.SearchGeoReq;
+import com.kamco.cd.kamcoback.inference.dto.InferenceDetailDto.*;
 import com.kamco.cd.kamcoback.inference.dto.InferenceResultDto;
-import com.kamco.cd.kamcoback.inference.dto.InferenceResultDto.DetectOption;
-import com.kamco.cd.kamcoback.inference.dto.InferenceResultDto.InferenceLearnDto;
-import com.kamco.cd.kamcoback.inference.dto.InferenceResultDto.InferenceServerStatusDto;
-import com.kamco.cd.kamcoback.inference.dto.InferenceResultDto.InferenceStatusDetailDto;
-import com.kamco.cd.kamcoback.inference.dto.InferenceResultDto.MapSheetNumDto;
-import com.kamco.cd.kamcoback.inference.dto.InferenceResultDto.ResultList;
-import com.kamco.cd.kamcoback.inference.dto.InferenceResultDto.SaveInferenceAiDto;
-import com.kamco.cd.kamcoback.inference.dto.InferenceResultDto.Status;
+import com.kamco.cd.kamcoback.inference.dto.InferenceResultDto.*;
 import com.kamco.cd.kamcoback.inference.dto.InferenceSendDto;
 import com.kamco.cd.kamcoback.inference.dto.InferenceSendDto.pred_requests_areas;
 import com.kamco.cd.kamcoback.log.dto.AuditLogDto;
@@ -39,22 +28,15 @@ import com.kamco.cd.kamcoback.postgres.core.InferenceResultCoreService;
 import com.kamco.cd.kamcoback.postgres.core.MapSheetMngCoreService;
 import com.kamco.cd.kamcoback.postgres.core.ModelMngCoreService;
 import jakarta.validation.constraints.NotNull;
+import java.io.IOException;
+import java.nio.file.Files;
 import java.nio.file.Path;
 import java.nio.file.Paths;
 import java.time.ZonedDateTime;
-import java.util.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;
-import java.util.Optional;
-import java.util.Set;
-import java.util.UUID;
+import java.util.*;
 import java.util.stream.Collectors;
 import lombok.RequiredArgsConstructor;
-import lombok.extern.log4j.Log4j2;
+import lombok.extern.slf4j.Slf4j;
 import org.springframework.beans.factory.annotation.Value;
 import org.springframework.data.domain.Page;
 import org.springframework.http.HttpHeaders;
@@ -64,24 +46,22 @@ import org.springframework.http.MediaType;
 import org.springframework.stereotype.Service;
 import org.springframework.transaction.annotation.Transactional;
 
+/** 추론 관리 */
 @Service
-@Log4j2
+@Slf4j
 @RequiredArgsConstructor
-@Transactional(readOnly = true)
+@Transactional
 public class InferenceResultService {
 
   private final InferenceResultCoreService inferenceResultCoreService;
   private final MapSheetMngCoreService mapSheetMngCoreService;
   private final ModelMngCoreService modelMngCoreService;
   private final AuditLogCoreService auditLogCoreService;
+  private final InferenceCommonService inferenceCommonService;
 
   private final ExternalHttpClient externalHttpClient;
-  private final ObjectMapper objectMapper;
   private final UserUtil userUtil;
 
-  @Value("${inference.url}")
-  private String inferenceUrl;
-
   @Value("${inference.batch-url}")
   private String batchUrl;
 
@@ -92,7 +72,10 @@ public class InferenceResultService {
   private String datasetDir;
 
   @Value("${spring.profiles.active}")
-  private String profile;
+  private String activeEnv;
+
+  @Value("${inference.geojson-dir}")
+  private String inferenceDir;
 
   /**
    * 추론관리 목록
@@ -105,7 +88,7 @@ public class InferenceResultService {
   }
 
   /**
-   * 추론 진행중인지 확인
+   * 추론 진행중인지 확인, 변화탐지 설정 등록 버튼 활성화 여부에 필요함
    *
    * @return
    */
@@ -117,40 +100,86 @@ public class InferenceResultService {
     return dto.getUuid();
   }
 
+  /**
+   * 추론 실행 - 추론제외, 이전연도 도엽 사용 분기
+   *
+   * @param req
+   * @return
+   */
   @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()
+    log.info("inference start request = {}", req);
+    DetectOption detectOption = req.getDetectOption();
+    if (detectOption == DetectOption.EXCL) {
+      // 추론 제외 일때 EXCL
+      return runExcl(req);
+    }
+    // 이전연도 도엽 사용 일때 PREV
+    return runPrev(req);
+  }
+
+  /**
+   * 변화탐지 [옵션 추론제외 실행]
+   *
+   * @param req
+   * @return
+   */
+  public UUID runExcl(InferenceResultDto.RegReq req) {
+    // 기준연도 실행가능 도엽 조회
+    List<MngListDto> targetMngList =
+        mapSheetMngCoreService.getMapSheetMngHst(req.getTargetYyyy(), req.getMapSheetNum());
+
+    if (targetMngList == null || targetMngList.isEmpty()) {
+      throw new CustomApiException("NOT_FOUND_MAP_SHEET_NUM", HttpStatus.NOT_FOUND);
+    }
+    log.info("targetMngList size = {}", targetMngList.size());
+
+    // 비교연도 실행가능 도엽 조회
+    List<MngListDto> compareMngList =
+        mapSheetMngCoreService.getMapSheetMngHst(req.getCompareYyyy(), req.getMapSheetNum());
+
+    if (compareMngList == null || compareMngList.isEmpty()) {
+      throw new CustomApiException("NOT_FOUND_COMPARE_YEAR", HttpStatus.NOT_FOUND);
+    }
+    log.info("compareMngList size = {}", compareMngList.size());
+
+    // compare 도엽번호 Set 구성
+    Set<String> compareSet =
+        compareMngList.stream()
+            .map(MngListDto::getMapSheetNum)
+            .filter(Objects::nonNull)
+            .collect(Collectors.toSet());
+
+    // 기준년도 비교년도 동일한 도엽번호만 담기
+    List<MngListDto> intersectionList =
+        targetMngList.stream()
+            .filter(dto -> dto.getMapSheetNum() != null)
+            .filter(dto -> compareSet.contains(dto.getMapSheetNum()))
+            .toList();
+
+    log.info("target size = {}", targetMngList.size());
+    log.info("compare size = {}", compareMngList.size());
+    log.info("intersection size = {}", intersectionList.size());
+
+    // 비교 연도 도엽번호를 꺼내와서 최종 추론 대상 도엽번호를 담기
+    List<String> mapSheetNums =
+        intersectionList.stream()
             .map(MngListDto::getMapSheetNum)
             .filter(Objects::nonNull)
             .distinct()
             .toList();
 
-    log.info(
-        "hst list count compareList = {}, targetList = {}", compareList.size(), targetList.size());
+    int targetTotal = targetMngList.size();
+    int compareTotal = compareMngList.size();
+    int intersection = intersectionList.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)
+    // ===== MapSheet Year Comparison =====
+    // target Total               : 기준연도 실행가능 전체 도엽 수
+    // compare Total              : 비교연도 실행가능 전체 도엽 수
+    // Intersection               : 양 연도에 모두 존재하는 도엽 수 (최종 추론 대상)
+    // target Only (Excluded)     : 기준연도에만 존재하고 비교연도에는 없는 도엽 수
+    // compare Only               : 비교연도에만 존재하고 기준연도에는 없는 도엽 수
+    // ====================================
 
     log.info(
         """
@@ -158,69 +187,239 @@ public class InferenceResultService {
         target Total: {}
         compare Total: {}
         Intersection: {}
-    target Only (Excluded from compare): {}
+        target Only (Excluded): {}
         compare Only: {}
         ====================================
         """,
-        targetSet.size(),
-        compareSet.size(),
-        intersectionCount,
-        excludedTargetCount,
-        onlyCompareCount);
+        targetTotal,
+        compareTotal,
+        intersection,
+        targetTotal - intersection,
+        compareTotal - intersection);
 
-    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();
+    if (mapSheetNums.isEmpty()) {
+      // 추론 가능한 도엽이 없습니다.
+      throw new CustomApiException("NOT_FOUND_MAP_SHEET_NUM", HttpStatus.NOT_FOUND);
     }
 
-    // imageFeatureList 기준 sceneId Set
-    Set<String> sceneIdSet =
-        imageFeatureList.stream()
-            .map(ImageFeature::getSceneId)
+    // compare geojson 파일 생성
+    Scene compareScene =
+        getSceneInference(
+            req.getCompareYyyy().toString(), // 기준년도
+            mapSheetNums, // 최종 추론 대상
+            req.getMapSheetScope(), // ALL / 부분
+            req.getDetectOption()); // EXCL / PREV
+
+    // target geojson 파일 생성
+    Scene targetScene =
+        getSceneInference(
+            req.getTargetYyyy().toString(), // 대상년도
+            mapSheetNums, // 최종 추론 대상
+            req.getMapSheetScope(),
+            req.getDetectOption());
+
+    log.info("비교년도 geojson 파일 validation ===== {}", compareScene.getFilePath());
+    GeoJsonValidator.validateWithRequested(compareScene.getFilePath(), mapSheetNums);
+    log.info("기준년도 geojson 파일 validation ===== {}", targetScene.getFilePath());
+    GeoJsonValidator.validateWithRequested(targetScene.getFilePath(), mapSheetNums);
+
+    // 추론 실행
+    return executeInference(
+        req,
+        intersectionList, // 전체 target 목록
+        mapSheetNums, // 최종 추론 대상
+        compareScene, // compare geojson
+        targetScene // target geojson
+        );
+  }
+
+  /**
+   * 변화탐지 옵션 이전 년도 도엽 사용 실행
+   *
+   * @param req
+   * @return
+   */
+  @Transactional
+  public UUID runPrev(InferenceResultDto.RegReq req) {
+    Integer targetYyyy = req.getTargetYyyy();
+    Integer compareYyyy = req.getCompareYyyy();
+    String mapSheetScope = req.getMapSheetScope();
+
+    log.info("[{}|{}}] ,{}", compareYyyy, targetYyyy, mapSheetScope);
+
+    // 기준연도 실행가능 도엽 조회[AFTER]
+    List<MngListDto> targetMngList =
+        mapSheetMngCoreService.getMapSheetMngHst(targetYyyy, req.getMapSheetNum());
+
+    log.info("[runPrev] targetMngList size = {}", targetMngList.size());
+    if (targetMngList == null || targetMngList.isEmpty()) {
+      throw new CustomApiException("NOT_FOUND_TARGET_YEAR", HttpStatus.NOT_FOUND);
+    }
+
+    // 비교연도 실행가능 도엽 조회
+    List<MngListDto> compareMngList =
+        mapSheetMngCoreService.getMapSheetMngHst(compareYyyy, req.getMapSheetNum());
+
+    log.info("[runPrev] compareMngList size = {}", compareMngList.size());
+    if (compareMngList == null || compareMngList.isEmpty()) {
+      throw new CustomApiException("NOT_FOUND_COMPARE_YEAR", HttpStatus.NOT_FOUND);
+    }
+
+    log.info("[runPrev] Difference in count = {}", targetMngList.size() - compareMngList.size());
+
+    // 로그용 원본 카운트 (이전도엽 추가 전)
+    int targetTotal = targetMngList.size();
+    int compareTotalBeforeFallback = compareMngList.size();
+
+    // 기준연도 기준 비교연도 구해서 이전년도로 compare 보완 하기위해서 도엽번호만 정리
+    Set<String> compareSet0 =
+        compareMngList.stream()
+            .map(MngListDto::getMapSheetNum)
             .filter(Objects::nonNull)
             .collect(Collectors.toSet());
 
-    // targetList(List<MngListDto>) 리턴용으로 필터링
+    // 기준연도 기준 비교연도에 도협번호가 없으면 이전연도 조회해서 compare 보완, 없는거 담기
+    List<String> targetOnlyMapSheetNums =
+        targetMngList.stream()
+            .map(MngListDto::getMapSheetNum)
+            .filter(Objects::nonNull)
+            .filter(num -> !compareSet0.contains(num))
+            .toList();
+
+    log.info("[runPrev] targetOnlyMapSheetNums in count = {}", targetOnlyMapSheetNums.size());
+
+    // 이전연도 초회 추가
+    compareMngList.addAll(
+        mapSheetMngCoreService.findFallbackCompareYearByMapSheets(
+            compareYyyy, targetOnlyMapSheetNums));
+
+    log.info("[runPrev] fallback compare size= {}", compareMngList.size());
+
+    // 이전연도 추가 후 compare 총 개수
+    int compareTotalAfterFallback = compareMngList.size();
+
+    // 이전연도 추가한 기준연도 값 도협번호만 담기
+    Set<String> compareSet1 =
+        compareMngList.stream()
+            .map(MngListDto::getMapSheetNum)
+            .filter(Objects::nonNull)
+            .collect(Collectors.toSet());
+
+    // 기준연도 기준으로 비교연도에 있는것만 담기 (도협번호) 결국 비교년도와 개수가 같아짐
+    List<String> mapSheetNums =
+        targetMngList.stream()
+            .map(MngListDto::getMapSheetNum)
+            .filter(Objects::nonNull)
+            .filter(compareSet1::contains)
+            .toList();
+
+    int intersection = mapSheetNums.size();
+
+    Set<String> intersectionSet = new HashSet<>(mapSheetNums);
+
+    // 비교연도 같은거 담기(dto list)
+    compareMngList =
+        compareMngList.stream()
+            .filter(c -> c.getMapSheetNum() != null)
+            .filter(c -> intersectionSet.contains(c.getMapSheetNum()))
+            .toList();
+
+    // 기준연도 같은거 담기(dto list)
+    List<MngListDto> filteredTargetMngList =
+        targetMngList.stream()
+            .filter(t -> t.getMapSheetNum() != null)
+            .filter(t -> intersectionSet.contains(t.getMapSheetNum()))
+            .toList();
+
+    // 로그
+    int targetOnlyExcluded = targetTotal - intersection;
+    int compareOnly = compareTotalAfterFallback - intersection;
+
+    log.info(
+        """
+        ===== MapSheet Year Comparison =====
+        target Total: {}
+        compare Total(before fallback): {}
+        compare Total(after fallback): {}
+        Intersection: {}
+        target Only (Excluded): {}
+        compare Only: {}
+        ====================================
+        """,
+        targetTotal,
+        compareTotalBeforeFallback,
+        compareTotalAfterFallback,
+        intersection,
+        targetOnlyExcluded,
+        compareOnly);
+
+    if (mapSheetNums.isEmpty()) {
+      throw new CustomApiException("NOT_FOUND_MAP_SHEET_NUM", HttpStatus.NOT_FOUND);
+    }
+
+    // compare 기준 geojson 생성
+    Scene compareScene =
+        getSceneInference(
+            compareMngList, compareYyyy.toString(), mapSheetScope, req.getDetectOption());
+
+    // target 기준 geojson 생성
+    Scene targetScene =
+        getSceneInference(
+            targetYyyy.toString(), mapSheetNums, mapSheetScope, req.getDetectOption());
+
+    log.info("비교년도 geojson 파일 validation ===== {}", compareScene.getFilePath());
+    GeoJsonValidator.validateWithRequested(compareScene.getFilePath(), mapSheetNums);
+
+    log.info("기준년도 geojson 파일 validation ===== {}", targetScene.getFilePath());
+    GeoJsonValidator.validateWithRequested(targetScene.getFilePath(), mapSheetNums);
+
+    // 추론 실행
+    return executeInference(req, filteredTargetMngList, mapSheetNums, compareScene, targetScene);
+  }
+
+  /**
+   * learn 테이블 저장 및 AI 추론 API 호출
+   *
+   * @param req
+   * @param targetDtoList
+   * @param filteredTargetList
+   * @param modelComparePath
+   * @param modelTargetPath
+   * @return
+   */
+  private UUID executeInference(
+      InferenceResultDto.RegReq req,
+      List<MngListDto> targetDtoList,
+      List<String> filteredTargetList,
+      Scene modelComparePath,
+      Scene modelTargetPath) {
+    Set<String> filteredSet = new HashSet<>(filteredTargetList);
+
     List<MngListDto> newTargetList =
         targetDtoList.stream()
             .filter(m -> m.getMapSheetNum() != null)
-            .filter(m -> sceneIdSet.contains(m.getMapSheetNum()))
+            .filter(m -> filteredSet.contains(m.getMapSheetNum()))
             .toList();
 
-    // 목록 및 추론 대상 도엽정보 저장
+    // 추론 실행 목록 테이블 저장, 도엽목록별 상태 체크 테이블 저장
     UUID uuid = inferenceResultCoreService.saveInferenceInfo(req, newTargetList);
 
-    // ai 서버에 전달할 파라미터 생성
+    // 추론 AI 전달 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());
 
+    // 모델정보 조회 dto 생성 후 반환
     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 호출
+    Long batchId = inferenceCommonService.ensureAccepted(m1);
 
-    // ai 추론 실행후 응답값 update
     SaveInferenceAiDto saveInferenceAiDto = new SaveInferenceAiDto();
     saveInferenceAiDto.setUuid(uuid);
     saveInferenceAiDto.setBatchId(batchId);
@@ -230,13 +429,15 @@ public class InferenceResultService {
     saveInferenceAiDto.setModelComparePath(modelComparePath.getFilePath());
     saveInferenceAiDto.setModelTargetPath(modelTargetPath.getFilePath());
     saveInferenceAiDto.setModelStartDttm(ZonedDateTime.now());
+
+    // AI 호출 하고 리턴 받은 정보 추론 실행 목록 테이블에 업데이트
     inferenceResultCoreService.update(saveInferenceAiDto);
 
     return uuid;
   }
 
   /**
-   * 변화탐지 실행 정보 생성
+   * 변화탐지 실행 정보 생성 TODO 미사용, 새로운 추론실행 로직 테스트후 삭제 해야합니다.
    *
    * @param req
    */
@@ -244,7 +445,7 @@ public class InferenceResultService {
   public UUID saveInferenceInfo(InferenceResultDto.RegReq req) {
 
     // 변화탐지 실행 가능 기준 년도 조회
-    List<MngListDto> targetList = mapSheetMngCoreService.getHstMapSheetList(req);
+    List<MngListDto> targetList = null; // mapSheetMngCoreService.getHstMapSheetList(req);
 
     if (targetList.isEmpty()) {
       throw new CustomApiException("NOT_FOUND_TARGET_YEAR", HttpStatus.NOT_FOUND);
@@ -265,31 +466,31 @@ public class InferenceResultService {
 
     List<TotalListDto> totalNumList = new ArrayList<>();
 
-    //    if (DetectOption.EXCL.getId().equals(req.getDetectOption())) {
-    //      // "추론제외" 일때 전년도 이전 값이 있어도 전년도 도엽이 없으면 비교 안함
-    //      for (MngListCompareDto dto : compareList) {
-    //        if (Objects.equals(dto.getBeforeYear(), req.getCompareYyyy())) {
-    //          TotalListDto totalDto = new TotalListDto();
-    //          totalDto.setBeforeYear(dto.getBeforeYear() == null ? 0 : dto.getBeforeYear());
-    //          totalDto.setMapSheetNum(dto.getMapSheetNum());
-    //          totalNumList.add(totalDto);
-    //        }
-    //      }
-    //    } else if (DetectOption.PREV.getId().equals(req.getDetectOption())) {
-    //      // "이전 년도 도엽 사용" 이면 전년도 이전 도엽도 사용
-    //      for (MngListCompareDto dto : compareList) {
-    //        if (dto.getBeforeYear() != 0) {
-    //          TotalListDto totalDto = new TotalListDto();
-    //          totalDto.setBeforeYear(dto.getBeforeYear() == null ? 0 : dto.getBeforeYear());
-    //          totalDto.setMapSheetNum(dto.getMapSheetNum());
-    //          totalNumList.add(totalDto);
-    //        }
-    //      }
-    //    }
-    //
-    //    if (totalNumList.isEmpty()) {
-    //      throw new CustomApiException("NOT_FOUND_COMPARE_YEAR", HttpStatus.NOT_FOUND);
-    //    }
+    if (DetectOption.EXCL.getId().equals(req.getDetectOption())) {
+      // "추론제외" 일때 전년도 이전 값이 있어도 전년도 도엽이 없으면 비교 안함
+      for (MngListCompareDto dto : compareList) {
+        if (Objects.equals(dto.getBeforeYear(), req.getCompareYyyy())) {
+          TotalListDto totalDto = new TotalListDto();
+          totalDto.setBeforeYear(dto.getBeforeYear() == null ? 0 : dto.getBeforeYear());
+          totalDto.setMapSheetNum(dto.getMapSheetNum());
+          totalNumList.add(totalDto);
+        }
+      }
+    } else if (DetectOption.PREV.getId().equals(req.getDetectOption())) {
+      // "이전 년도 도엽 사용" 이면 전년도 이전 도엽도 사용
+      for (MngListCompareDto dto : compareList) {
+        if (dto.getBeforeYear() != 0) {
+          TotalListDto totalDto = new TotalListDto();
+          totalDto.setBeforeYear(dto.getBeforeYear() == null ? 0 : dto.getBeforeYear());
+          totalDto.setMapSheetNum(dto.getMapSheetNum());
+          totalNumList.add(totalDto);
+        }
+      }
+    }
+
+    if (totalNumList.isEmpty()) {
+      throw new CustomApiException("NOT_FOUND_COMPARE_YEAR", HttpStatus.NOT_FOUND);
+    }
 
     // 사용할 영상파일 년도 기록 및 추론에 포함되는지 설정
     for (MngListDto target : targetList) {
@@ -362,7 +563,7 @@ public class InferenceResultService {
     m1.setPred_requests_areas(predRequestsAreas);
 
     // ai 추론 실행 api 호출
-    Long batchId = ensureAccepted(m1);
+    Long batchId = inferenceCommonService.ensureAccepted(m1);
 
     // ai 추론 실행후 응답값 update
     SaveInferenceAiDto saveInferenceAiDto = new SaveInferenceAiDto();
@@ -379,142 +580,6 @@ public class InferenceResultService {
     return uuid;
   }
 
-  // 비교년도 탐지 제이터 옵션 별로 조회하여 req에 적용
-  private List<MapSheetNumDto> createdMngDto(
-      InferenceResultDto.RegReq req, List<MngListDto> targetList) {
-    List<String> mapTargetIds = new ArrayList<>();
-
-    targetList.forEach(
-        hstMapSheet -> {
-          // 비교년도는 target 년도 기준으로 가져옴 파라미터 만들기
-          mapTargetIds.add(hstMapSheet.getMapSheetNum());
-        });
-
-    // 비교년도 조회
-    List<String> mapCompareIds = new ArrayList<>();
-    List<MngListCompareDto> compareList =
-        mapSheetMngCoreService.getByHstMapSheetCompareList(req.getCompareYyyy(), mapTargetIds);
-
-    for (MngListCompareDto dto : compareList) {
-      // 추론 제외일때 이전년도 파일이 없으면 제외
-      if (req.getDetectOption().equals(DetectOption.EXCL.getId())) {
-        int targetYear = req.getTargetYyyy() - 1;
-        if (dto.getBeforeYear() != targetYear) {
-          continue;
-        }
-      }
-      // 비교년도는 target 년도 기준으로 가져옴
-      mapCompareIds.add(dto.getMapSheetNum());
-    }
-
-    Set<String> compareSet =
-        mapCompareIds.stream()
-            .filter(Objects::nonNull)
-            .map(String::trim) // 공백/개행 방지
-            .collect(Collectors.toSet());
-
-    // target 기준 compare 비교하여 서로 있는것만 저장
-    List<String> commonIds =
-        mapTargetIds.stream()
-            .filter(Objects::nonNull)
-            .map(String::trim)
-            .filter(compareSet::contains)
-            .toList();
-
-    Set<String> commonIdSet =
-        commonIds.stream().filter(Objects::nonNull).map(String::trim).collect(Collectors.toSet());
-
-    // 저장하기위해 파라미터 다시 구성
-    List<MapSheetNumDto> mapSheetNum =
-        targetList.stream()
-            .filter(dto -> dto.getMapSheetNum() != null)
-            .filter(dto -> commonIdSet.contains(dto.getMapSheetNum().trim()))
-            .map(
-                dto -> {
-                  MapSheetNumDto mapSheetNumDto = new MapSheetNumDto();
-                  mapSheetNumDto.setMapSheetNum(dto.getMapSheetNum());
-                  mapSheetNumDto.setMapSheetName(dto.getMapSheetName());
-                  return mapSheetNumDto;
-                })
-            .toList();
-
-    return mapSheetNum;
-  }
-
-  /**
-   * 추론 AI API 호출
-   *
-   * @param dto
-   */
-  // 같은함수가 왜 두개지
-  private Long ensureAccepted(InferenceSendDto dto) {
-
-    if (dto == null) {
-      log.warn("not InferenceSendDto dto");
-      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));
-    } catch (JsonProcessingException e) {
-      log.warn("Failed to serialize inference dto", e);
-    }
-
-    // 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");
-    //    }
-
-    // 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
    *
@@ -523,6 +588,7 @@ public class InferenceResultService {
    */
   private InferenceSendDto getModelInfo(UUID uuid) {
 
+    // 모델정보 조회
     Basic modelInfo = modelMngCoreService.findByModelUuid(uuid);
 
     String cdModelPath = "";
@@ -550,8 +616,10 @@ public class InferenceResultService {
       modelType = ModelType.G1.getId();
     } else if (modelInfo.getModelType().equals(ModelType.G2.getId())) {
       modelType = ModelType.G2.getId();
-    } else {
+    } else if (modelInfo.getModelType().equals(ModelType.G3.getId())) {
       modelType = ModelType.G3.getId();
+    } else {
+      modelType = ModelType.G4.getId();
     }
 
     InferenceSendDto sendDto = new InferenceSendDto();
@@ -575,9 +643,37 @@ public class InferenceResultService {
    * @return
    */
   private Scene getSceneInference(
-      String yyyy, List<String> mapSheetNums, String mapSheetScope, String detectOption) {
-    return mapSheetMngCoreService.getSceneInference(
-        yyyy, mapSheetNums, mapSheetScope, detectOption);
+      String yyyy, List<String> mapSheetNums, String mapSheetScope, DetectOption detectOption) {
+
+    // geojson 생성시 필요한 영상파일 정보 조회
+    List<ImageFeature> features =
+        mapSheetMngCoreService.loadSceneInferenceBySheets(yyyy, mapSheetNums);
+
+    if (features == null || features.isEmpty()) {
+      log.warn(
+          "NOT_FOUND_MAP_SHEET_NUM : yyyy={}, scenesSize={}",
+          yyyy,
+          mapSheetNums == null ? 0 : mapSheetNums.size());
+      throw new CustomApiException("NOT_FOUND_MAP_SHEET_NUM", HttpStatus.NOT_FOUND);
+    }
+    return writeSceneGeoJson(yyyy, mapSheetScope, detectOption, features);
+  }
+
+  /**
+   * 년도 별로 조회하여 geojson 파일 생성
+   *
+   * @param yearDtos
+   * @param yyyy
+   * @param mapSheetScope
+   * @param detectOption
+   * @return
+   */
+  private Scene getSceneInference(
+      List<MngListDto> yearDtos, String yyyy, String mapSheetScope, DetectOption detectOption) {
+
+    List<ImageFeature> features =
+        mapSheetMngCoreService.loadSceneInferenceByFallbackYears(yearDtos);
+    return writeSceneGeoJson(yyyy, mapSheetScope, detectOption, features);
   }
 
   /**
@@ -656,11 +752,17 @@ public class InferenceResultService {
     return inferenceResultCoreService.listGetScenes5k(id);
   }
 
+  /**
+   * 추론 서버 현황 cpu, gpu 확인
+   *
+   * @return 서버 정보
+   */
   public List<InferenceServerStatusDto> getInferenceServerStatusList() {
 
     String[] serverNames = inferenceServerName.split(",");
     int serveCnt = serverNames.length;
 
+    // 서버정보 조회
     List<InferenceServerStatusDto> dtoList =
         inferenceResultCoreService.getInferenceServerStatusList();
     int size = dtoList.size();
@@ -670,6 +772,7 @@ public class InferenceResultService {
     System.out.println("size =" + size);
 
     if (size == 0) {
+      // 서버 정보가 없을때
       for (int k = 0; k < serveCnt; k++) {
         InferenceServerStatusDto dto = new InferenceServerStatusDto();
         dto.setServerName(serverNames[k]);
@@ -737,17 +840,35 @@ public class InferenceResultService {
     return inferenceResultCoreService.getInferenceResultInfo(uuid);
   }
 
+  /**
+   * 분류별 탐지건수 조회
+   *
+   * @param uuid 추론 uuid
+   * @return 분류별 탐지건수 정보
+   */
   public List<Dashboard> getInferenceClassCountList(UUID uuid) {
     return inferenceResultCoreService.getInferenceClassCountList(uuid);
   }
 
+  /**
+   * 추론결과 geom 목록 조회
+   *
+   * @param uuid 추론 uuid
+   * @param searchGeoReq 추론 결과 상세화면 geom 조회 조건
+   * @return geom 목록 정보
+   */
   public Page<Geom> getInferenceGeomList(UUID uuid, SearchGeoReq searchGeoReq) {
     return inferenceResultCoreService.getInferenceGeomList(uuid, searchGeoReq);
   }
 
-  /** 추론 종료 */
+  /**
+   * 추론 종료
+   *
+   * @return 호출한 uuid
+   */
   @Transactional
   public UUID deleteInferenceEnd() {
+    // 추론 진행중인지 확인
     SaveInferenceAiDto dto = inferenceResultCoreService.getProcessing();
     if (dto == null) {
       throw new CustomApiException("NOT_FOUND", HttpStatus.NOT_FOUND);
@@ -759,13 +880,15 @@ public class InferenceResultService {
     headers.setContentType(MediaType.APPLICATION_JSON);
     headers.setAccept(List.of(MediaType.APPLICATION_JSON));
 
+    // 종료 api 호출
     ExternalCallResult<String> result =
-        externalHttpClient.call(url, HttpMethod.DELETE, dto, headers, String.class);
+        externalHttpClient.callLong(url, HttpMethod.DELETE, dto, headers, String.class);
 
     if (!result.success()) {
       throw new CustomApiException("BAD_GATEWAY", HttpStatus.BAD_GATEWAY);
     }
 
+    // 추론 정보 테이블 update
     SaveInferenceAiDto request = new SaveInferenceAiDto();
     request.setStatus(Status.FORCED_END.getId());
     request.setUuid(dto.getUuid());
@@ -780,14 +903,17 @@ public class InferenceResultService {
   }
 
   /**
-   * 추론결과 shp zip 파일 다운로드 경로 생성
+   * 추론결과 shp zip 파일 확인하여 다운로드 경로 생성
    *
-   * @param uuid
-   * @return
+   * @param uuid 추론 uuid
+   * @return 32자 추론 uid, shp 파일 경로
    */
   public Map<String, Object> shpDownloadPath(UUID uuid) {
+    // 추론정보 조회
     InferenceLearnDto dto = inferenceResultCoreService.getInferenceUid(uuid);
     String uid = dto.getUid();
+
+    // 파일 경로 생성
     Path path = Path.of(datasetDir).resolve(uid).resolve("merge").resolve(uid + ".zip");
 
     Map<String, Object> downloadMap = new HashMap<>();
@@ -809,7 +935,7 @@ public class InferenceResultService {
   }
 
   /**
-   * 실행중인 추론 도엽명 목록
+   * 분석중인 추론 도엽명 목록
    *
    * @param uuid uuid
    * @return
@@ -817,4 +943,86 @@ public class InferenceResultService {
   public List<String> getInferenceRunMapId(UUID uuid) {
     return inferenceResultCoreService.getInferenceRunMapId(uuid);
   }
+
+  /**
+   * 파일 경로/이름 , 파일 생성 , 도엽번호 반환
+   *
+   * @param yyyy
+   * @param mapSheetScope
+   * @param detectOption
+   * @param sceneInference
+   * @return Scene
+   */
+  private Scene writeSceneGeoJson(
+      String yyyy,
+      String mapSheetScope,
+      DetectOption 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;
+
+    // 파일명 생성
+    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);
+
+    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());
+
+      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);
+    }
+  }
+
+  /**
+   * geojson 파일명 Suffix
+   *
+   * @param detectOption
+   * @return
+   */
+  private String buildOptionSuffix(DetectOption detectOption) {
+    if (DetectOption.EXCL == detectOption) {
+      return "_EXCL";
+    }
+    if (DetectOption.PREV == detectOption) {
+      return "_PREV";
+    }
+    return "";
+  }
+
+  public ApiResponseDto.ResponseObj deleteInference(UUID uuid) {
+    long result = inferenceResultCoreService.deleteInference(uuid);
+    if (result > 0) {
+      return new ApiResponseDto.ResponseObj(ApiResponseDto.ApiResponseCode.OK, "삭제되었습니다.");
+    } else {
+      return new ApiResponseDto.ResponseObj(
+          ApiResponseDto.ApiResponseCode.INTERNAL_SERVER_ERROR, "삭제 실패하였습니다. 관리자에게 문의해주세요.");
+    }
+  }
 }

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

@@ -1,13 +1,11 @@
 package com.kamco.cd.kamcoback.inference.service;
 
-import com.kamco.cd.kamcoback.common.geometry.GeoJsonFileWriter.Scene;
 import com.kamco.cd.kamcoback.inference.dto.InferenceResultDto.InferenceLearnDto;
 import com.kamco.cd.kamcoback.inference.dto.InferenceResultShpDto;
 import com.kamco.cd.kamcoback.postgres.core.InferenceResultCoreService;
 import com.kamco.cd.kamcoback.postgres.core.InferenceResultShpCoreService;
 import com.kamco.cd.kamcoback.postgres.core.MapSheetMngCoreService;
 import com.kamco.cd.kamcoback.scheduler.service.ShpPipelineService;
-import java.util.List;
 import java.util.Objects;
 import java.util.UUID;
 import java.util.stream.Collectors;
@@ -39,10 +37,16 @@ public class InferenceResultShpService {
   @Value("${file.dataset-dir}")
   private String datasetDir;
 
-  /** inference_results 테이블을 기준으로 분석 결과 테이블과 도형 테이블을 최신 상태로 반영한다. */
+  /**
+   * 추론 결과 inference 테이블 upsert
+   *
+   * @param uuid learn uuid
+   * @return
+   */
   @Transactional
-  public InferenceResultShpDto.InferenceCntDto saveInferenceResultData(Long id) {
-    return coreService.buildInferenceData(id);
+  public InferenceResultShpDto.InferenceCntDto saveInferenceResultData(UUID uuid) {
+    Long learnId = inferenceResultCoreService.getInferenceLearnIdByUuid(uuid);
+    return coreService.buildInferenceData(learnId);
   }
 
   /**
@@ -57,30 +61,13 @@ public class InferenceResultShpService {
       return;
     }
 
-    String batchId =
+    String batchIds =
         Stream.of(dto.getM1ModelBatchId(), dto.getM2ModelBatchId(), dto.getM3ModelBatchId())
             .filter(Objects::nonNull)
             .map(String::valueOf)
             .collect(Collectors.joining(","));
 
     // shp 파일 비동기 생성
-    shpPipelineService.runPipeline(jarPath, datasetDir, batchId, dto.getUid());
-  }
-
-  /**
-   * 추론 실행전 geojson 파일 생성
-   *
-   * @param yyyy
-   * @param mapSheetScope
-   * @param detectOption
-   * @param mapIds
-   * @return
-   */
-  public Scene createGeojson(
-      String yyyy, String mapSheetScope, String detectOption, List<String> mapIds) {
-    Scene getSceneInference =
-        mapSheetMngCoreService.getSceneInference(yyyy, mapIds, mapSheetScope, detectOption);
-    log.info("getSceneInference: {}", getSceneInference);
-    return getSceneInference;
+    shpPipelineService.runPipeline(jarPath, datasetDir, batchIds, dto.getUid());
   }
 }

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/label/dto/LabelAllocateDto.java

@@ -37,6 +37,11 @@ public class LabelAllocateDto {
     public String getText() {
       return desc;
     }
+
+    @Override
+    public String getTextEn() {
+      return name();
+    }
   }
 
   @CodeExpose
@@ -59,6 +64,11 @@ public class LabelAllocateDto {
     public String getText() {
       return desc;
     }
+
+    @Override
+    public String getTextEn() {
+      return name();
+    }
   }
 
   @CodeExpose
@@ -80,6 +90,11 @@ public class LabelAllocateDto {
     public String getText() {
       return desc;
     }
+
+    @Override
+    public String getTextEn() {
+      return name();
+    }
   }
 
   @Getter

src/main/java/com/kamco/cd/kamcoback/label/dto/LabelWorkDto.java

@@ -1,6 +1,8 @@
 package com.kamco.cd.kamcoback.label.dto;
 
 import com.fasterxml.jackson.annotation.JsonProperty;
+import com.kamco.cd.kamcoback.common.enums.RoleType;
+import com.kamco.cd.kamcoback.common.utils.HeaderUtil;
 import com.kamco.cd.kamcoback.common.utils.enums.Enums;
 import com.kamco.cd.kamcoback.common.utils.interfaces.JsonFormatDttm;
 import com.kamco.cd.kamcoback.label.dto.LabelAllocateDto.LabelMngState;
@@ -34,6 +36,7 @@ public class LabelWorkDto {
   @AllArgsConstructor
   public static class LabelWorkMng {
 
+    private Long analUid;
     private UUID uuid;
     private Integer compareYyyy;
     private Integer targetYyyy;
@@ -108,9 +111,15 @@ public class LabelWorkDto {
       if (type == null) {
         return enumId;
       }
+
+      boolean english = HeaderUtil.isEnglishRequest();
+      if (!english) {
         return type.getText();
       }
 
+      return type.getTextEn();
+    }
+
     /**
      * 작업 진행률 반환 (tb_labeling_assignment.stagnation_yn = 'N'인 정상 진행율 기준) 계산식: (정상 진행 건수 / 총 배정 건수) *
      * 100
@@ -222,10 +231,8 @@ public class LabelWorkDto {
     }
 
     public String getUserRoleName() {
-      if (this.userRole.equals("LABELER")) {
-        return "라벨러";
-      }
-      return "검수자";
+      RoleType type = Enums.fromId(RoleType.class, this.userRole);
+      return HeaderUtil.isEnglishRequest() ? type.getTextEn() : type.getText();
     }
   }
 
@@ -260,4 +267,18 @@ public class LabelWorkDto {
       return PageRequest.of(page, size);
     }
   }
+
+  @Getter
+  @Setter
+  @AllArgsConstructor
+  @NoArgsConstructor
+  public static class LabelCntInfo {
+
+    private Long assignedCnt;
+    private Long skipCnt;
+    private Long doneCnt;
+    private Long unconfirmCnt;
+    private Long exceptCnt;
+    private Long completeCnt;
+  }
 }

src/main/java/com/kamco/cd/kamcoback/label/dto/WorkerStatsDto.java

@@ -219,6 +219,9 @@ public class WorkerStatsDto {
     @Deprecated
     @Schema(description = "[Deprecated] inspectionRemainingCount 사용 권장")
     private Long remainingInspectCount;
+
+    @Schema(description = "파일 다운로드 가능한 폴리곤 수")
+    private Long downloadPolygonCnt;
   }
 
   @Getter

src/main/java/com/kamco/cd/kamcoback/label/service/LabelAllocateService.java

@@ -157,6 +157,7 @@ public class LabelAllocateService {
     return labelAllocateCoreService.findInferenceDetail(uuid);
   }
 
+  @Transactional
   public ApiResponseDto.ResponseObj allocateMove(
       Integer totalCnt, String uuid, List<String> targetUsers, String userId) {
 

src/main/java/com/kamco/cd/kamcoback/layer/service/LayerService.java

@@ -62,7 +62,7 @@ public class LayerService {
             .orElseThrow(() -> new CustomApiException("BAD_REQUEST", HttpStatus.BAD_REQUEST));
 
     switch (layerType) {
-      case TILE -> {
+      case TILE, KAMCO_WMS, KAMCO_WMTS -> {
         return mapLayerCoreService.saveTile(dto);
       }
 

src/main/java/com/kamco/cd/kamcoback/log/dto/ErrorLogDto.java

@@ -1,7 +1,10 @@
 package com.kamco.cd.kamcoback.log.dto;
 
+import com.fasterxml.jackson.annotation.JsonProperty;
+import com.kamco.cd.kamcoback.common.utils.HeaderUtil;
 import com.kamco.cd.kamcoback.common.utils.enums.CodeExpose;
 import com.kamco.cd.kamcoback.common.utils.enums.EnumType;
+import com.kamco.cd.kamcoback.config.api.ApiResponseDto;
 import io.swagger.v3.oas.annotations.media.Schema;
 import java.time.LocalDate;
 import lombok.AllArgsConstructor;
@@ -36,6 +39,11 @@ public class ErrorLogDto {
     public String getText() {
       return desc;
     }
+
+    @Override
+    public String getTextEn() {
+      return desc;
+    }
   }
 
   @Schema(name = "ErrorLogBasic", description = "에러로그 기본 정보")
@@ -56,6 +64,26 @@ public class ErrorLogDto {
     private final String errorMessage;
     private final String errorDetail;
     private final String createDate; // to_char해서 가져옴
+
+    @JsonProperty("errorMessage")
+    public String getErrorMessage() {
+      boolean english = HeaderUtil.isEnglishRequest();
+      if (!english) {
+        return this.errorMessage;
+      }
+
+      return ApiResponseDto.ApiResponseCode.fromMessage(this.errorMessage).toString();
+    }
+
+    @JsonProperty("errorName")
+    public String getErrorName() {
+      boolean english = HeaderUtil.isEnglishRequest();
+      if (!english) {
+        return this.errorName;
+      }
+
+      return ApiResponseDto.ApiResponseCode.fromMessage(this.errorName).toString();
+    }
   }
 
   @Schema(name = "ErrorSearchReq", description = "에러로그 검색 요청")

src/main/java/com/kamco/cd/kamcoback/log/dto/EventStatus.java

@@ -21,4 +21,9 @@ public enum EventStatus implements EnumType {
   public String getText() {
     return desc;
   }
+
+  @Override
+  public String getTextEn() {
+    return desc;
+  }
 }

src/main/java/com/kamco/cd/kamcoback/log/dto/EventType.java

@@ -39,4 +39,9 @@ public enum EventType implements EnumType {
   public String getText() {
     return desc;
   }
+
+  @Override
+  public String getTextEn() {
+    return name();
+  }
 }

src/main/java/com/kamco/cd/kamcoback/mapsheet/MapSheetMngApiController.java

@@ -1,14 +1,10 @@
 package com.kamco.cd.kamcoback.mapsheet;
 
 import com.kamco.cd.kamcoback.code.dto.CommonCodeDto;
-import com.kamco.cd.kamcoback.code.service.CommonCodeService;
 import com.kamco.cd.kamcoback.config.api.ApiResponseDto;
-import com.kamco.cd.kamcoback.mapsheet.dto.FileDto.FilesDto;
 import com.kamco.cd.kamcoback.mapsheet.dto.FileDto.FoldersDto;
-import com.kamco.cd.kamcoback.mapsheet.dto.FileDto.SrchFilesDto;
 import com.kamco.cd.kamcoback.mapsheet.dto.FileDto.SrchFoldersDto;
 import com.kamco.cd.kamcoback.mapsheet.dto.MapSheetMngDto;
-import com.kamco.cd.kamcoback.mapsheet.dto.MapSheetMngDto.MngYyyyDto;
 import com.kamco.cd.kamcoback.mapsheet.service.MapSheetMngService;
 import com.kamco.cd.kamcoback.model.dto.ModelMngDto.ModelUploadResDto;
 import com.kamco.cd.kamcoback.upload.dto.UploadDto;
@@ -26,14 +22,7 @@ import lombok.RequiredArgsConstructor;
 import org.springframework.beans.factory.annotation.Value;
 import org.springframework.data.domain.Page;
 import org.springframework.http.MediaType;
-import org.springframework.web.bind.annotation.GetMapping;
-import org.springframework.web.bind.annotation.PostMapping;
-import org.springframework.web.bind.annotation.PutMapping;
-import org.springframework.web.bind.annotation.RequestBody;
-import org.springframework.web.bind.annotation.RequestMapping;
-import org.springframework.web.bind.annotation.RequestParam;
-import org.springframework.web.bind.annotation.RequestPart;
-import org.springframework.web.bind.annotation.RestController;
+import org.springframework.web.bind.annotation.*;
 import org.springframework.web.multipart.MultipartFile;
 
 @Tag(name = "영상 관리", description = "영상 관리 API")
@@ -42,7 +31,6 @@ import org.springframework.web.multipart.MultipartFile;
 @RequestMapping({"/api/imagery/dataset"})
 public class MapSheetMngApiController {
 
-  private final CommonCodeService commonCodeService;
   private final MapSheetMngService mapSheetMngService;
 
   @Value("${file.sync-root-dir}")
@@ -51,7 +39,7 @@ public class MapSheetMngApiController {
   @Value("${file.sync-tmp-dir}")
   private String syncRootTmpDir;
 
-  @Operation(summary = "영상 데이터 관리 목록 조회", description = "영상 데이터 관리 목록 조회")
+  @Operation(summary = "영상데이터관리 > 목록 조회", description = "영상데이터관리 > 목록 조회")
   @ApiResponses(
       value = {
         @ApiResponse(
@@ -70,7 +58,7 @@ public class MapSheetMngApiController {
     return ApiResponseDto.ok(mapSheetMngService.findMapSheetMngList());
   }
 
-  @Operation(summary = "영상 데이터 관리 상세", description = "영상 데이터 관리 상세")
+  @Operation(summary = "영상데이터관리 > 상세 조회", description = "영상데이터관리 > 상세 조회")
   @ApiResponses(
       value = {
         @ApiResponse(
@@ -89,7 +77,7 @@ public class MapSheetMngApiController {
     return ApiResponseDto.ok(mapSheetMngService.findMapSheetMng(mngYyyy));
   }
 
-  @Operation(summary = "영상관리 > 데이터 등록", description = "영상관리 > 데이터 등록")
+  @Operation(summary = "영상데이터관리 > 데이터 등록", description = "영상데이터관리 > 데이터 등록")
   @ApiResponses(
       value = {
         @ApiResponse(
@@ -109,26 +97,7 @@ public class MapSheetMngApiController {
     return ApiResponseDto.ok(mapSheetMngService.mngDataSave(AddReq));
   }
 
-  @Operation(summary = "영상관리 > 작업완료", description = "영상관리 > 작업완료")
-  @ApiResponses(
-      value = {
-        @ApiResponse(
-            responseCode = "201",
-            description = "작업완료 처리 성공",
-            content =
-                @Content(
-                    mediaType = "application/json",
-                    schema = @Schema(implementation = Long.class))),
-        @ApiResponse(responseCode = "400", description = "잘못된 요청 데이터", content = @Content),
-        @ApiResponse(responseCode = "404", description = "코드를 찾을 수 없음", content = @Content),
-        @ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
-      })
-  @PutMapping("/mng-complete")
-  public ApiResponseDto<MapSheetMngDto.DmlReturn> mngComplete(@RequestParam @Valid int mngYyyy) {
-    return ApiResponseDto.ok(mapSheetMngService.mngComplete(mngYyyy));
-  }
-
-  @Operation(summary = "영상 데이터 관리 년도 목록", description = "영상 데이터 관리 년도 목록")
+  @Operation(summary = "영상데이터관리 > 데이터 등록 > 연도 선택 목록", description = "영상데이터관리 > 데이터 등록 > 연도 선택 목록")
   @ApiResponses(
       value = {
         @ApiResponse(
@@ -147,7 +116,7 @@ public class MapSheetMngApiController {
     return ApiResponseDto.ok(mapSheetMngService.findMapSheetMngYyyyList());
   }
 
-  @Operation(summary = "영상 데이터 관리 오류 목록", description = "영상 데이터 관리 오류 목록")
+  @Operation(summary = "영상데이터관리 > 상세 > 오류 처리 내역", description = "영상데이터관리 > 상세 > 오류 처리 내역")
   @ApiResponses(
       value = {
         @ApiResponse(
@@ -166,42 +135,9 @@ public class MapSheetMngApiController {
     return ApiResponseDto.ok(mapSheetMngService.findMapSheetErrorList(searchReq));
   }
 
-  /*
-  @Operation(summary = "오류데이터 팝업 > 업로드 처리", description = "오류데이터 팝업 > 업로드 처리")
-  @ApiResponses(
-      value = {
-        @ApiResponse(
-            responseCode = "201",
-            description = "업로드 처리 성공",
-            content =
-                @Content(
-                    mediaType = "application/json",
-                    schema = @Schema(implementation = Long.class))),
-        @ApiResponse(responseCode = "400", description = "잘못된 요청 데이터", content = @Content),
-        @ApiResponse(responseCode = "404", description = "코드를 찾을 수 없음", content = @Content),
-        @ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
-      })
-  @PutMapping("/upload-process")
-  public ApiResponseDto<MapSheetMngDto.DmlReturn> uploadProcess(
-      @RequestBody @Valid List<Long> hstUidList) {
-    return ApiResponseDto.ok(mapSheetMngService.uploadProcess(hstUidList));
-  }
-
-   */
-
-  /*
-  @Operation(summary = "오류데이터 팝업 > 추론 제외", description = "오류데이터 팝업 > 추론 제외")
-  @PutMapping("/except-inference")
-  public ApiResponseDto<MapSheetMngDto.DmlReturn> updateExceptUseInference(
-      @RequestBody @Valid List<Long> hstUidList) {
-    return ApiResponseDto.ok(mapSheetMngService.updateExceptUseInference(hstUidList));
-  }
-
-
-
-   */
-
-  @Operation(summary = "페어 파일 업로드", description = "TFW/TIF 두 파일을 쌍으로 업로드 및 검증")
+  @Operation(
+      summary = "영상데이터관리 > 상세 > 오류 처리 내역 > 업로드 (페어 파일 저장)",
+      description = "영상데이터관리 > 상세 > 오류 처리 내역 > 업로드 (페어 파일 저장)")
   @PostMapping(value = "/upload-pair", consumes = MediaType.MULTIPART_FORM_DATA_VALUE)
   public ApiResponseDto<MapSheetMngDto.DmlReturn> uploadPair(
       @RequestPart("tfw") MultipartFile tfwFile,
@@ -213,7 +149,9 @@ public class MapSheetMngApiController {
         mapSheetMngService.uploadPair(tfwFile, tifFile, hstUid, tifFileSize));
   }
 
-  @Operation(summary = "영상관리 > 파일조회", description = "영상관리 > 파일조회")
+  @Operation(
+      summary = "영상데이터관리 > 상세 > 오류 처리 내역 > 중복제거 > 팝업 내 해당 파일조회",
+      description = "영상데이터관리 > 상세 > 오류 처리 내역 > 중복제거 > 팝업 내 해당 파일조회")
   @ApiResponses(
       value = {
         @ApiResponse(
@@ -234,13 +172,13 @@ public class MapSheetMngApiController {
   }
 
   @Operation(
-      summary = "영상관리 > 파일사용설정 및 중복제거",
-      description = "영상관리 >파일사용설정 및 중복제거(중복파일제거 및 선택파일사용설정)")
+      summary = "영상데이터관리 > 상세 > 오류 처리 내역 > 중복제거 업데이트",
+      description = "영상데이터관리 > 상세 > 오류 처리 내역 > 중복제거 업데이트")
   @ApiResponses(
       value = {
         @ApiResponse(
             responseCode = "201",
-            description = "파일사용설정 처리 성공",
+            description = "중복제거 업데이트 처리 성공",
             content =
                 @Content(
                     mediaType = "application/json",
@@ -255,7 +193,7 @@ public class MapSheetMngApiController {
     return ApiResponseDto.ok(mapSheetMngService.setUseByFileUidMngFile(fileUids));
   }
 
-  @Operation(summary = "폴더 조회", description = "폴더 조회 (ROOT:/app/original-images 이하로 경로입력)")
+  @Operation(summary = "영상데이터관리 > 데이터 등록 > NAS 폴더 선택", description = "영상데이터관리 > 데이터 등록 > NAS 폴더 선택")
   @ApiResponses(
       value = {
         @ApiResponse(
@@ -274,45 +212,9 @@ public class MapSheetMngApiController {
     return ApiResponseDto.createOK(mapSheetMngService.getFolderAll(srchDto));
   }
 
-  @Operation(summary = "지정폴더내 파일목록 조회", description = "지정폴더내 파일목록 조회")
-  @ApiResponses(
-      value = {
-        @ApiResponse(
-            responseCode = "200",
-            description = "조회 성공",
-            content =
-                @Content(
-                    mediaType = "application/json",
-                    schema = @Schema(implementation = CommonCodeDto.Basic.class))),
-        @ApiResponse(responseCode = "404", description = "코드를 찾을 수 없음", content = @Content),
-        @ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
-      })
-  @PostMapping("/file-list")
-  public ApiResponseDto<FilesDto> getFiles(@RequestBody SrchFilesDto srchDto) {
-
-    return ApiResponseDto.createOK(mapSheetMngService.getFilesAll(srchDto));
-  }
-
-  @Operation(summary = "영상 데이터 관리 완료 년도 목록 조회", description = "영상 데이터 관리 완료 년도 목록 조회")
-  @ApiResponses(
-      value = {
-        @ApiResponse(
-            responseCode = "200",
-            description = "조회 성공",
-            content =
-                @Content(
-                    mediaType = "application/json",
-                    schema = @Schema(implementation = CommonCodeDto.Basic.class))),
-        @ApiResponse(responseCode = "404", description = "코드를 찾을 수 없음", content = @Content),
-        @ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
-      })
-  @PostMapping("/mng-done-yyyy-list")
-  public ApiResponseDto<List<MngYyyyDto>> findMapSheetMngDoneYyyyList() {
-
-    return ApiResponseDto.ok(mapSheetMngService.findMapSheetMngDoneYyyyList());
-  }
-
-  @Operation(summary = "영상 tif 대용량 파일 분할 전송", description = "영상 tif 파일 대용량 파일을 청크 단위로 전송합니다.")
+  @Operation(
+      summary = "영상데이터관리 > 상세 > 오류 처리 내역 > 업로드 (영상 tif 대용량 파일 분할 전송)",
+      description = "영상데이터관리 > 상세 > 오류 처리 내역 > 업로드 (영상 tif 대용량 파일 분할 전송)")
   @ApiResponses(
       value = {
         @ApiResponse(responseCode = "200", description = "청크 업로드 성공", content = @Content),
@@ -347,4 +249,11 @@ public class MapSheetMngApiController {
     return ApiResponseDto.ok(
         mapSheetMngService.uploadChunkMapSheetFile(hstUid, upAddReqDto, chunkFile));
   }
+
+  @Operation(summary = "영상데이터관리 > 등록된 년도 데이터 전체 삭제", description = "영상데이터관리 > 등록된 년도 데이터 전체 삭제")
+  @DeleteMapping
+  public ApiResponseDto<Void> deleteByMngYyyyMngAll(@RequestParam Integer mngYyyy) {
+    mapSheetMngService.deleteByMngYyyyMngAll(mngYyyy);
+    return ApiResponseDto.ok(null);
+  }
 }

src/main/java/com/kamco/cd/kamcoback/mapsheet/dto/MapSheetMngDto.java

@@ -3,6 +3,7 @@ package com.kamco.cd.kamcoback.mapsheet.dto;
 import com.fasterxml.jackson.annotation.JsonIgnore;
 import com.kamco.cd.kamcoback.common.enums.MngStateType;
 import com.kamco.cd.kamcoback.common.enums.SyncStateType;
+import com.kamco.cd.kamcoback.common.utils.HeaderUtil;
 import com.kamco.cd.kamcoback.common.utils.enums.EnumType;
 import com.kamco.cd.kamcoback.common.utils.enums.Enums;
 import com.kamco.cd.kamcoback.common.utils.interfaces.JsonFormatDttm;
@@ -41,6 +42,11 @@ public class MapSheetMngDto {
     public String getText() {
       return message;
     }
+
+    @Override
+    public String getTextEn() {
+      return message;
+    }
   }
 
   @Schema(name = "MngSearchReq", description = "영상관리 검색 요청")
@@ -217,7 +223,11 @@ public class MapSheetMngDto {
         enumId = "NOTYET";
       }
 
+      boolean english = HeaderUtil.isEnglishRequest();
       MngStateType type = Enums.fromId(MngStateType.class, enumId);
+      if (english) {
+        return type.getTextEn();
+      }
       return type.getText();
     }
   }
@@ -341,6 +351,10 @@ public class MapSheetMngDto {
       }
 
       SyncStateType type = Enums.fromId(SyncStateType.class, enumId);
+      boolean english = HeaderUtil.isEnglishRequest();
+      if (english) {
+        return type.getTextEn();
+      }
       return type.getText();
     }
   }

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

@@ -40,7 +40,7 @@ import org.springframework.web.multipart.MultipartFile;
 @Slf4j
 @Service
 @RequiredArgsConstructor
-@Transactional(readOnly = true)
+@Transactional
 public class MapSheetMngService {
 
   private final MapSheetMngCoreService mapSheetMngCoreService;
@@ -59,10 +59,20 @@ public class MapSheetMngService {
   @Value("${file.sync-file-extention}")
   private String syncFileExtention;
 
+  /**
+   * 영상데이터관리 > 목록 조회
+   *
+   * @return
+   */
   public List<MngDto> findMapSheetMngList() {
     return mapSheetMngCoreService.findMapSheetMngList();
   }
 
+  /**
+   * 영상데이터관리 > 데이터 등록 > 연도 선택 목록
+   *
+   * @return
+   */
   public List<Integer> findMapSheetMngYyyyList() {
     return mapSheetMngCoreService.findMapSheetMngYyyyList();
   }
@@ -77,6 +87,12 @@ public class MapSheetMngService {
         .toList();
   }
 
+  /**
+   * 영상데이터관리 > 상세 조회
+   *
+   * @param mngYyyy
+   * @return
+   */
   public MngDto findMapSheetMng(int mngYyyy) {
     return mapSheetMngCoreService.findMapSheetMng(mngYyyy);
   }
@@ -89,6 +105,12 @@ public class MapSheetMngService {
     return new DmlReturn("success", "작업완료 처리되었습니다.");
   }
 
+  /**
+   * 영상데이터관리 > 상세 > 오류 처리 내역
+   *
+   * @param searchReq
+   * @return
+   */
   public Page<ErrorDataDto> findMapSheetErrorList(@Valid ErrorSearchReq searchReq) {
     return mapSheetMngCoreService.findMapSheetErrorList(searchReq);
   }
@@ -97,12 +119,20 @@ public class MapSheetMngService {
     return mapSheetMngCoreService.findMapSheetError(hstUid);
   }
 
+  /**
+   * 영상데이터관리 > 데이터 등록
+   *
+   * @param addReq
+   * @return
+   */
   @Transactional
   public DmlReturn mngDataSave(AddReq addReq) {
 
     addReq.setCreatedUid(userUtil.getId());
 
-    int execCnt = mapSheetMngCoreService.mngDataSave(addReq);
+    int execCnt =
+        mapSheetMngCoreService.mngDataSave(addReq); // tb_map_sheet_mng_hst 테이블에 insert된 개수 리턴됨
+
     return new MapSheetMngDto.DmlReturn("success", addReq.getMngYyyy() + "년, " + execCnt + "건 생성");
   }
 
@@ -110,6 +140,15 @@ public class MapSheetMngService {
     return mapSheetMngCoreService.updateExceptUseInference(hstUidList);
   }
 
+  /**
+   * 영상데이터관리 > 상세 > 오류 처리 내역 > 업로드 (페어 파일 저장)
+   *
+   * @param tfwFile
+   * @param tifFile
+   * @param hstUid
+   * @param tifFileSize
+   * @return
+   */
   @Transactional
   public DmlReturn uploadPair(
       MultipartFile tfwFile, String tifFile, Long hstUid, Long tifFileSize) {
@@ -118,6 +157,7 @@ public class MapSheetMngService {
 
     DmlReturn dmlReturn = new DmlReturn("success", "UPLOAD COMPLETE");
 
+    // hst 테이블에 선택한 hstUid row 정보 조회
     ErrorDataDto errDto = mapSheetMngCoreService.findMapSheetError(hstUid);
 
     if (errDto == null) {
@@ -135,33 +175,14 @@ public class MapSheetMngService {
       return dmlReturn;
     }
 
-    // TODO 삭제?
-    MngDto mngDto = mapSheetMngCoreService.findMapSheetMng(errDto.getMngYyyy());
-
-    // 중복체크 -> 도엽50k/uuid 경로에 업로드 할 거라 overwrite 되지 않음
-    //    if (!overwrite) {
-    //      dmlReturn =
-    //        this.duplicateFile(
-    //          errDto.getMngYyyy(), tfwFile.getOriginalFilename(), tifFile.getOriginalFilename());
-    //      if (dmlReturn.getFlag().equals("duplicate")) {
-    //        return dmlReturn;
-    //      }
-    //    }
-
+    // ★ tif 파일은 대용량 업로드에서 아래 정보들을 체크하기 때문에 체크 로직에서 제외됨
     // 멀티파트 파일 tmp폴더 저장(파일형식 체크를 위해)
     String tfwTmpPath = tmpPath + tfwFile.getOriginalFilename();
-    //    String tifTmpPath = tmpPath + tifFile;
 
     if (!FIleChecker.multipartSaveTo(tfwFile, tfwTmpPath)) {
       return new DmlReturn("fail", "UPLOAD ERROR");
     }
-    //    if (!FIleChecker.multipartSaveTo(tifFile, tifTmpPath)) {
-    //      return new DmlReturn("fail", "UPLOAD ERROR");
-    //    }
 
-    //    if (!FIleChecker.cmmndGdalInfo(tifTmpPath)) {
-    //      return new DmlReturn("fail", "TIF TYPE ERROR");
-    //    }
     if (!FIleChecker.checkTfw(tfwTmpPath)) {
       return new DmlReturn("fail", "TFW TYPE ERROR");
     }
@@ -175,7 +196,6 @@ public class MapSheetMngService {
     }
 
     Path tfwTmpSavePath = Paths.get(tfwTmpPath);
-    //    Path tifTmpSavePath = Paths.get(tifTmpPath);
     Path tfwTargetPath = null;
     Path tifTargetPath = null;
 
@@ -222,7 +242,7 @@ public class MapSheetMngService {
 
     try {
       Files.move(tfwTmpSavePath, tfwTargetPath, StandardCopyOption.REPLACE_EXISTING);
-      // Files.move(tifTmpSavePath, tifTargetPath, StandardCopyOption.REPLACE_EXISTING);
+      // tif파일은 대용량 업로드에서 이미 업로드 했기 때문에 완료된 상태
     } catch (IOException e) {
       throw new RuntimeException(e);
     }
@@ -234,7 +254,7 @@ public class MapSheetMngService {
     updReqSyncCheckState.setFilePath(uploadPath);
     updReqSyncCheckState.setSyncCheckTfwFileName(tfwFile.getOriginalFilename());
     updReqSyncCheckState.setSyncCheckTifFileName(tifFile);
-    updReqSyncCheckState.setSyncCheckState("DONE");
+    updReqSyncCheckState.setSyncCheckState("DONE"); // 오류처리 완료
     mapSheetMngCoreService.updateMapSheetMngHstSyncCheckState(updReqSyncCheckState);
     // 파일정보 업데이트
     mapSheetMngCoreService.deleteByHstUidMngFile(hstUid);
@@ -339,7 +359,12 @@ public class MapSheetMngService {
 
   public FoldersDto getFolderAll(SrchFoldersDto srchDto) {
 
-    String dirPath = syncRootDir + srchDto.getDirPath();
+    // "경로중복"
+    String dirPath =
+        (srchDto.getDirPath() == null || srchDto.getDirPath().isEmpty())
+            ? syncRootDir
+            : srchDto.getDirPath();
+    // String dirPath = syncRootDir + srchDto.getDirPath();
 
     log.info("[FIND_FOLDER] DIR : {}", dirPath);
     List<FIleChecker.Folder> folderList =
@@ -381,6 +406,11 @@ public class MapSheetMngService {
     mapSheetMngCoreService.getSceneInference(yyyy);
   }
 
+  /**
+   * 연도 목록 조회
+   *
+   * @return
+   */
   public List<MngYyyyDto> findMapSheetMngDoneYyyyList() {
 
     List<MngDto> mngList = mapSheetMngCoreService.findMapSheetMngList();
@@ -459,4 +489,8 @@ public class MapSheetMngService {
 
     return modelUploadResDto;
   }
+
+  public void deleteByMngYyyyMngAll(Integer mngYyyy) {
+    mapSheetMngCoreService.deleteByMngYyyyMngAll(mngYyyy);
+  }
 }

src/main/java/com/kamco/cd/kamcoback/members/AuthController.java

@@ -4,6 +4,7 @@ import com.kamco.cd.kamcoback.auth.CustomUserDetails;
 import com.kamco.cd.kamcoback.auth.JwtTokenProvider;
 import com.kamco.cd.kamcoback.auth.RefreshTokenService;
 import com.kamco.cd.kamcoback.common.enums.StatusType;
+import com.kamco.cd.kamcoback.config.api.ApiLogFunction;
 import com.kamco.cd.kamcoback.config.api.ApiResponseDto;
 import com.kamco.cd.kamcoback.members.dto.MembersDto;
 import com.kamco.cd.kamcoback.members.dto.SignInRequest;
@@ -16,11 +17,13 @@ import io.swagger.v3.oas.annotations.media.Schema;
 import io.swagger.v3.oas.annotations.responses.ApiResponse;
 import io.swagger.v3.oas.annotations.responses.ApiResponses;
 import io.swagger.v3.oas.annotations.tags.Tag;
+import jakarta.servlet.http.HttpServletRequest;
 import jakarta.servlet.http.HttpServletResponse;
 import java.nio.file.AccessDeniedException;
 import java.time.Duration;
 import java.util.UUID;
 import lombok.RequiredArgsConstructor;
+import lombok.extern.slf4j.Slf4j;
 import org.springframework.beans.factory.annotation.Value;
 import org.springframework.http.HttpHeaders;
 import org.springframework.http.ResponseCookie;
@@ -34,6 +37,7 @@ import org.springframework.web.bind.annotation.RequestBody;
 import org.springframework.web.bind.annotation.RequestMapping;
 import org.springframework.web.bind.annotation.RestController;
 
+@Slf4j
 @Tag(name = "인증(Auth)", description = "로그인, 토큰 재발급, 로그아웃 API")
 @RestController
 @RequestMapping("/api/auth")
@@ -103,8 +107,13 @@ public class AuthController {
               required = true)
           @RequestBody
           SignInRequest request,
+      HttpServletRequest servletRequest,
       HttpServletResponse response) {
 
+    // TODO: 접속 가능한 IP 대역 조회
+    String clientIp = ApiLogFunction.getXFowardedForIp(servletRequest);
+    log.info("####### clientIp: {}", clientIp);
+
     // 사용자 상태 조회
     String status = authService.getUserStatus(request);
     Authentication authentication = null;
@@ -169,6 +178,7 @@ public class AuthController {
     if (refreshToken == null || !jwtTokenProvider.isValidToken(refreshToken)) {
       throw new AccessDeniedException("만료되었거나 유효하지 않은 리프레시 토큰 입니다.");
     }
+
     String username = jwtTokenProvider.getSubject(refreshToken);
 
     // Redis에 저장된 RefreshToken과 일치하는지 확인

src/main/java/com/kamco/cd/kamcoback/members/dto/MembersDto.java

@@ -3,6 +3,7 @@ package com.kamco.cd.kamcoback.members.dto;
 import com.fasterxml.jackson.annotation.JsonIgnore;
 import com.kamco.cd.kamcoback.common.enums.RoleType;
 import com.kamco.cd.kamcoback.common.enums.StatusType;
+import com.kamco.cd.kamcoback.common.utils.HeaderUtil;
 import com.kamco.cd.kamcoback.common.utils.enums.Enums;
 import com.kamco.cd.kamcoback.common.utils.interfaces.EnumValid;
 import com.kamco.cd.kamcoback.common.utils.interfaces.JsonFormatDttm;
@@ -65,16 +66,18 @@ public class MembersDto {
 
     private String getUserRoleName(String roleId) {
       RoleType type = Enums.fromId(RoleType.class, roleId);
-      return type.getText();
+      boolean english = HeaderUtil.isEnglishRequest();
+      return english ? type.getTextEn() : type.getText();
     }
 
     private String getStatusName(String status, Boolean pwdResetYn) {
       StatusType type = Enums.fromId(StatusType.class, status);
+      boolean english = HeaderUtil.isEnglishRequest();
       pwdResetYn = pwdResetYn != null && pwdResetYn;
       if (type.equals(StatusType.PENDING) && pwdResetYn) {
         type = StatusType.ACTIVE;
       }
-      return type.getText();
+      return english ? type.getTextEn() : type.getText();
     }
   }
 

src/main/java/com/kamco/cd/kamcoback/menu/dto/MenuDto.java

@@ -31,7 +31,7 @@ public class MenuDto {
 
     @JsonFormatDttm private ZonedDateTime updatedDttm;
 
-    private String menuApiUrl;
+    private String menuNmEn;
 
     public Basic(
         String menuUid,
@@ -45,7 +45,8 @@ public class MenuDto {
         Long updatedUid,
         List<MenuDto.Basic> children,
         ZonedDateTime createdDttm,
-        ZonedDateTime updatedDttm) {
+        ZonedDateTime updatedDttm,
+        String menuNmEn) {
       this.menuUid = menuUid;
       this.menuNm = menuNm;
       this.menuUrl = menuUrl;
@@ -58,6 +59,7 @@ public class MenuDto {
       this.children = children;
       this.createdDttm = createdDttm;
       this.updatedDttm = updatedDttm;
+      this.menuNmEn = menuNmEn;
     }
   }
 

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

@@ -23,7 +23,8 @@ public class ModelMngDto {
   public enum ModelType implements EnumType {
     G1("G1"),
     G2("G2"),
-    G3("G3");
+    G3("G3"),
+    G4("G4");
 
     private final String desc;
 
@@ -36,6 +37,11 @@ public class ModelMngDto {
     public String getText() {
       return desc;
     }
+
+    @Override
+    public String getTextEn() {
+      return desc;
+    }
   }
 
   @Schema(name = "ModelMgmtDto Basic", description = "모델관리 엔티티 기본 정보")
@@ -67,6 +73,7 @@ public class ModelMngDto {
     private String clsModelVersion;
     private Double priority;
     private String memo;
+    private UUID uuid;
 
     public Basic(
         Long modelUid,
@@ -89,7 +96,8 @@ public class ModelMngDto {
         String clsModelFileName,
         String clsModelVersion,
         double priority,
-        String memo) {
+        String memo,
+        UUID uuid) {
       this.modelUid = modelUid;
       this.modelVer = modelVer;
       this.createCompleteDttm = createCompleteDttm;
@@ -111,6 +119,7 @@ public class ModelMngDto {
       this.clsModelVersion = clsModelVersion;
       this.priority = priority;
       this.memo = memo;
+      this.uuid = uuid;
     }
   }
 

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

@@ -41,6 +41,16 @@ public class ModelMngService {
   @Value("${file.pt-FileName}")
   private String ptFileName;
 
+  /**
+   * 모델조회
+   *
+   * @param searchReq 페이징
+   * @param startDate 시작날짜
+   * @param endDate 종료날짜
+   * @param modelType 모델 타입 G1, G2, G3, G4
+   * @param searchVal 모델 ver
+   * @return 모델 목록
+   */
   public Page<ModelMngDto.ModelList> findModelMgmtList(
       ModelMngDto.searchReq searchReq,
       LocalDate startDate,

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

@@ -46,6 +46,13 @@ public class AuditLogCoreService
     return auditLogRepository.findLogByAccount(searchRange, searchValue);
   }
 
+  /**
+   * 다운로드 이력 조회
+   *
+   * @param searchReq 페이징 파라미터
+   * @param downloadReq 다운로드 이력 팝업 검색 조건
+   * @return 다운로드 이력 정보 목록
+   */
   public Page<AuditLogDto.DownloadRes> findLogByAccount(
       AuditLogDto.searchReq searchReq, DownloadReq downloadReq) {
     return auditLogRepository.findDownloadLog(searchReq, downloadReq);

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

@@ -6,6 +6,8 @@ import com.fasterxml.jackson.databind.ObjectMapper;
 import com.kamco.cd.kamcoback.changedetection.dto.ChangeDetectionDto;
 import com.kamco.cd.kamcoback.changedetection.dto.ChangeDetectionDto.MapScaleType;
 import com.kamco.cd.kamcoback.changedetection.dto.ChangeDetectionDto.MapSheetList;
+import com.kamco.cd.kamcoback.changedetection.dto.ChangeDetectionDto.PointFeatureList;
+import com.kamco.cd.kamcoback.changedetection.dto.ChangeDetectionDto.PolygonFeatureList;
 import com.kamco.cd.kamcoback.common.enums.DetectionClassification;
 import com.kamco.cd.kamcoback.common.exception.CustomApiException;
 import com.kamco.cd.kamcoback.postgres.entity.MapSheetAnalDataInferenceGeomEntity;
@@ -108,8 +110,8 @@ public class ChangeDetectionCoreService {
    * @return
    */
   public ChangeDetectionDto.PolygonFeatureList getPolygonListByCd(
-      String chnDtctId, String cdObjectId, List<String> cdObjectIds) {
-    return changeDetectionRepository.getPolygonListByCd(chnDtctId, cdObjectId, cdObjectIds);
+      String chnDtctId, String cdObjectId, List<String> cdObjectIds, String pnu) {
+    return changeDetectionRepository.getPolygonListByCd(chnDtctId, cdObjectId, cdObjectIds, pnu);
   }
 
   /**
@@ -121,8 +123,8 @@ public class ChangeDetectionCoreService {
    * @return
    */
   public ChangeDetectionDto.PointFeatureList getPointListByCd(
-      String chnDtctId, String cdObjectId, List<String> cdObjectIds) {
-    return changeDetectionRepository.getPointListByCd(chnDtctId, cdObjectId, cdObjectIds);
+      String chnDtctId, String cdObjectId, List<String> cdObjectIds, String pnu) {
+    return changeDetectionRepository.getPointListByCd(chnDtctId, cdObjectId, cdObjectIds, pnu);
   }
 
   /**
@@ -136,4 +138,12 @@ public class ChangeDetectionCoreService {
         .getLearnUuid(chnDtctId)
         .orElseThrow(() -> new CustomApiException("NOT_FOUND_DATA", HttpStatus.NOT_FOUND));
   }
+
+  public PolygonFeatureList getChangeDetectionPnuPolygonList(UUID uuid, String pnu) {
+    return changeDetectionRepository.getChangeDetectionPnuPolygonList(uuid, pnu);
+  }
+
+  public PointFeatureList getChangeDetectionPnuPointList(UUID uuid, String pnu) {
+    return changeDetectionRepository.getChangeDetectionPnuPointList(uuid, pnu);
+  }
 }

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

@@ -77,4 +77,12 @@ public class GukYuinCoreService {
   public void updateMapSheetInferenceLabelEndStatus(Long learnId) {
     gukYuinRepository.updateMapSheetInferenceLabelEndStatus(learnId);
   }
+
+  public List<String> findStbltObjectIds(String uid, String mapSheetNum) {
+    return gukYuinRepository.findStbltObjectIds(uid, mapSheetNum);
+  }
+
+  public Integer updateStbltRandomData(String uid, int updateCnt) {
+    return gukYuinRepository.updateStbltRandomData(uid, updateCnt);
+  }
 }

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

@@ -0,0 +1,26 @@
+package com.kamco.cd.kamcoback.postgres.core;
+
+import com.kamco.cd.kamcoback.postgres.repository.gukyuin.GukYuinPnuCntUpdateJobRepository;
+import org.springframework.stereotype.Service;
+import org.springframework.transaction.annotation.Transactional;
+
+@Service
+public class GukYuinPnuCntUpdateJobCoreService {
+
+  private final GukYuinPnuCntUpdateJobRepository gukYuinPnuCntUpdateRepository;
+
+  public GukYuinPnuCntUpdateJobCoreService(
+      GukYuinPnuCntUpdateJobRepository gukYuinPnuCntUpdateRepository) {
+    this.gukYuinPnuCntUpdateRepository = gukYuinPnuCntUpdateRepository;
+  }
+
+  @Transactional
+  public void updateGukYuinContListPnuUpdateCnt() {
+    gukYuinPnuCntUpdateRepository.updateGukYuinContListPnuUpdateCnt();
+  }
+
+  @Transactional
+  public void updateGukYuinApplyStatus(String uid, String status) {
+    gukYuinPnuCntUpdateRepository.updateGukYuinApplyStatus(uid, status);
+  }
+}

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

@@ -36,6 +36,7 @@ import com.kamco.cd.kamcoback.scheduler.dto.JobStatusDto;
 import jakarta.persistence.EntityManager;
 import jakarta.persistence.EntityNotFoundException;
 import jakarta.validation.constraints.NotNull;
+import java.time.LocalDateTime;
 import java.time.ZonedDateTime;
 import java.util.ArrayList;
 import java.util.LinkedHashMap;
@@ -46,7 +47,7 @@ import java.util.function.Consumer;
 import java.util.stream.Collectors;
 import java.util.stream.Stream;
 import lombok.RequiredArgsConstructor;
-import lombok.extern.log4j.Log4j2;
+import lombok.extern.slf4j.Slf4j;
 import org.springframework.dao.DataAccessException;
 import org.springframework.data.domain.Page;
 import org.springframework.http.HttpStatus;
@@ -54,7 +55,7 @@ import org.springframework.stereotype.Service;
 import org.springframework.transaction.annotation.Transactional;
 
 @Service
-@Log4j2
+@Slf4j
 @RequiredArgsConstructor
 public class InferenceResultCoreService {
 
@@ -79,12 +80,13 @@ public class InferenceResultCoreService {
   }
 
   /**
-   * 변화탐지 실행 정보 생성
+   * 변화탐지 실행 정보 생성 - 추론 실행 목록 테이블 저장, 도엽목록별 상태 체크 테이블 저장
    *
-   * @param req
+   * @param req 추론 실행 목록 uuid
    */
   public UUID saveInferenceInfo(InferenceResultDto.RegReq req, List<MngListDto> targetList) {
 
+    // 대표 도엽명 외 N 건 실행 문구 만들기 위해 Null, 중복 제거
     List<MngListDto> distinctList =
         targetList.stream()
             .filter(dto -> dto.getMapSheetName() != null && !dto.getMapSheetName().isBlank())
@@ -115,26 +117,23 @@ public class InferenceResultCoreService {
     mapSheetLearnEntity.setM1ModelUuid(req.getModel1Uuid());
     mapSheetLearnEntity.setM2ModelUuid(req.getModel2Uuid());
     mapSheetLearnEntity.setM3ModelUuid(req.getModel3Uuid());
+    mapSheetLearnEntity.setM4ModelUuid(req.getModel4Uuid());
     mapSheetLearnEntity.setCompareYyyy(req.getCompareYyyy());
     mapSheetLearnEntity.setTargetYyyy(req.getTargetYyyy());
     mapSheetLearnEntity.setMapSheetScope(req.getMapSheetScope());
-    mapSheetLearnEntity.setDetectOption(req.getDetectOption());
+    mapSheetLearnEntity.setDetectOption(req.getDetectOption().getId());
     mapSheetLearnEntity.setCreatedUid(userUtil.getId());
     mapSheetLearnEntity.setMapSheetCnt(mapSheetName);
     mapSheetLearnEntity.setDetectingCnt(0L);
     mapSheetLearnEntity.setTotalJobs((long) targetList.size());
 
-    // 회차는 국유인 반영할때 update로 변경됨
-    //    mapSheetLearnEntity.setStage(
-    //        mapSheetLearnRepository.getLearnStage(req.getCompareYyyy(), req.getTargetYyyy()));
-
     // learn 테이블 저장
     MapSheetLearnEntity savedLearn = mapSheetLearnRepository.save(mapSheetLearnEntity);
 
     final int CHUNK = 1000;
     List<MapSheetLearn5kEntity> buffer = new ArrayList<>(CHUNK);
 
-    // learn 도엽별 저장
+    // learn 도엽별 저장, 도엽수가 많으므로 1000개 씩 저장함
     for (MngListDto mngDto : targetList) {
       MapSheetLearn5kEntity entity = new MapSheetLearn5kEntity();
       entity.setLearn(savedLearn);
@@ -145,12 +144,15 @@ public class InferenceResultCoreService {
 
       buffer.add(entity);
       if (buffer.size() == CHUNK) {
+        // 도엽별 저장 learn 5k 테이블
         flushChunk(buffer);
         buffer.clear();
       }
     }
 
+    // chunk 남은거 처리
     if (!buffer.isEmpty()) {
+      // 도엽별 저장 learn 5k 테이블
       flushChunk(buffer);
       buffer.clear();
     }
@@ -159,9 +161,9 @@ public class InferenceResultCoreService {
   }
 
   /**
-   * 도엽별 저장
+   * 도엽별 저장 learn 5k 테이블
    *
-   * @param buffer
+   * @param buffer 저장 정보
    */
   private void flushChunk(List<MapSheetLearn5kEntity> buffer) {
 
@@ -271,19 +273,22 @@ public class InferenceResultCoreService {
             .getInferenceResultByUuid(request.getUuid())
             .orElseThrow(EntityNotFoundException::new);
 
-    // M1/M2/M3 영역 업데이트
+    // G1/G2/G3 영역 업데이트
     if (request.getType() != null) {
       applyModelUpdate(entity, request);
     }
 
     List<Long> batchIds =
         Stream.of(
-                entity.getM1ModelBatchId(), entity.getM2ModelBatchId(), entity.getM3ModelBatchId())
+                entity.getM1ModelBatchId(),
+                entity.getM2ModelBatchId(),
+                entity.getM3ModelBatchId(),
+                entity.getM4ModelBatchId())
             .filter(Objects::nonNull)
             .distinct() // 중복 방지 (선택)
             .toList();
 
-    // testing 추론결과 테이블 조회하여 탐지 개수 업데이트
+    // testing 테이블 추론결과 테이블 조회하여 탐지 개수 업데이트
     Long testing = getInferenceResultCnt(batchIds);
 
     // 공통 영역 업데이트
@@ -332,6 +337,16 @@ public class InferenceResultCoreService {
               entity::setM3RunningJobs,
               entity::setM3CompletedJobs,
               entity::setM3FailedJobs);
+      case "G4" ->
+          applyModelFields(
+              request,
+              entity::setM4ModelBatchId,
+              entity::setM4ModelStartDttm,
+              entity::setM4ModelEndDttm,
+              entity::setM4PendingJobs,
+              entity::setM4RunningJobs,
+              entity::setM4CompletedJobs,
+              entity::setM4FailedJobs);
       default -> throw new IllegalArgumentException("Unknown type: " + request.getType());
     }
   }
@@ -369,6 +384,12 @@ public class InferenceResultCoreService {
     return mapSheetLearnRepository.getInferenceServerStatusList();
   }
 
+  /**
+   * 진행중 배치 조회
+   *
+   * @param status
+   * @return
+   */
   public InferenceBatchSheet getInferenceResultByStatus(String status) {
     MapSheetLearnEntity entity =
         mapSheetLearnRepository.getInferenceResultByStatus(status).orElse(null);
@@ -383,11 +404,13 @@ public class InferenceResultCoreService {
     inferenceBatchSheet.setM1BatchId(entity.getM1ModelBatchId());
     inferenceBatchSheet.setM2BatchId(entity.getM2ModelBatchId());
     inferenceBatchSheet.setM3BatchId(entity.getM3ModelBatchId());
+    inferenceBatchSheet.setM4BatchId(entity.getM4ModelBatchId());
     inferenceBatchSheet.setStatus(entity.getStatus());
     inferenceBatchSheet.setRunningModelType(entity.getRunningModelType());
     inferenceBatchSheet.setM1ModelUuid(entity.getM1ModelUuid());
     inferenceBatchSheet.setM2ModelUuid(entity.getM2ModelUuid());
     inferenceBatchSheet.setM3ModelUuid(entity.getM3ModelUuid());
+    inferenceBatchSheet.setM4ModelUuid(entity.getM4ModelUuid());
     inferenceBatchSheet.setUid(entity.getUid());
     return inferenceBatchSheet;
   }
@@ -403,6 +426,12 @@ public class InferenceResultCoreService {
     return mapSheetLearnRepository.getInferenceAiResultById(id, modelUuid);
   }
 
+  /**
+   * 추론 진행 현황 상세
+   *
+   * @param uuid
+   * @return
+   */
   public InferenceStatusDetailDto getInferenceStatus(UUID uuid) {
     return mapSheetLearnRepository.getInferenceStatus(uuid);
   }
@@ -410,7 +439,7 @@ public class InferenceResultCoreService {
   /**
    * 추론 진행중인지 확인
    *
-   * @return
+   * @return 추론 실행중인 추론 uuid, batch id
    */
   public SaveInferenceAiDto getProcessing() {
     MapSheetLearnEntity entity = mapSheetLearnRepository.getProcessing();
@@ -422,6 +451,9 @@ public class InferenceResultCoreService {
     SaveInferenceAiDto dto = new SaveInferenceAiDto();
     dto.setUuid(entity.getUuid());
 
+    if (entity.getM4ModelBatchId() != null) {
+      dto.setBatchId(entity.getM4ModelBatchId());
+    }
     if (entity.getM3ModelBatchId() != null) {
       dto.setBatchId(entity.getM3ModelBatchId());
     }
@@ -441,19 +473,45 @@ public class InferenceResultCoreService {
    * @return
    */
   public AnalResultInfo getInferenceResultInfo(UUID uuid) {
+
+    // 추론 결과 정보조회
+    log.info("get inference result info start time = {}", LocalDateTime.now());
     AnalResultInfo resultInfo = mapSheetLearnRepository.getInferenceResultInfo(uuid);
+    log.info("get inference result info end time = {}", LocalDateTime.now());
+    // bbox, point 조회
+    log.info("get inference result info bbox start time = {}", LocalDateTime.now());
     BboxPointDto bboxPointDto = mapSheetLearnRepository.getBboxPoint(uuid);
+    log.info("get inference result info bbox end time = {}", LocalDateTime.now());
     resultInfo.setBboxGeom(bboxPointDto.getBboxGeom());
     resultInfo.setBboxCenterPoint(bboxPointDto.getBboxCenterPoint());
+
     return resultInfo;
   }
 
+  /**
+   * 분류별 탐지건수 조회
+   *
+   * @param uuid 추론 uuid
+   * @return 분류별 탐지건수 정보
+   */
   public List<Dashboard> getInferenceClassCountList(UUID uuid) {
-    return mapSheetLearnRepository.getInferenceClassCountList(uuid);
+    log.info("get inference class count list start time = {}", LocalDateTime.now());
+    List<Dashboard> classCountList = mapSheetLearnRepository.getInferenceClassCountList(uuid);
+    log.info("get inference class count list end time = {}", LocalDateTime.now());
+    return classCountList;
   }
 
+  /**
+   * @param uuid 추론 uuid
+   * @param searchGeoReq 추론 결과 상세화면 geom 조회 조건
+   * @return geom 목록 정보
+   */
   public Page<Geom> getInferenceGeomList(UUID uuid, SearchGeoReq searchGeoReq) {
-    return mapSheetLearnRepository.getInferenceGeomList(uuid, searchGeoReq);
+    log.info("get Inference Geom List start time = {}", LocalDateTime.now());
+    Page<Geom> geom = mapSheetLearnRepository.getInferenceGeomList(uuid, searchGeoReq);
+    log.info("get Inference Geom List end time = {}", LocalDateTime.now());
+
+    return geom;
   }
 
   /**
@@ -463,9 +521,13 @@ public class InferenceResultCoreService {
    */
   @Transactional
   public void upsertGeomData(Long id) {
+    // 추론 결과 목록 저장
     Long analId = inferenceResultRepository.upsertGroupsFromMapSheetAnal(id);
+    // 추론 결과 상세 저장
     inferenceResultRepository.upsertGroupsFromInferenceResults(analId);
+    // geom 목록 추론 결과 저장
     inferenceResultRepository.upsertGeomsFromInferenceResults(analId);
+    // 집계 추론 결과 저장
     inferenceResultRepository.upsertSttcFromInferenceResults(analId);
   }
 
@@ -510,15 +572,21 @@ public class InferenceResultCoreService {
     return list.stream().map(InferenceResultsTestingEntity::toDto).toList();
   }
 
+  /**
+   * 테스팅 테이블 조회하여 탐지건수 조회
+   *
+   * @param batchIds batchIds
+   * @return batchIds 조회 count 수
+   */
   public Long getInferenceResultCnt(List<Long> batchIds) {
     return inferenceResultsTestingRepository.getInferenceResultCnt(batchIds);
   }
 
   /**
-   * uid 조회
+   * 추론 정보 조회 하여 batch id, 32자 uid 리턴
    *
-   * @param uuid
-   * @return
+   * @param uuid 추론 uuid
+   * @return 추론정보
    */
   public InferenceLearnDto getInferenceUid(UUID uuid) {
     MapSheetLearnEntity entity = inferenceResultRepository.getInferenceUid(uuid).orElse(null);
@@ -535,7 +603,7 @@ public class InferenceResultCoreService {
   }
 
   /**
-   * 실행중인 추론 도엽명 목록
+   * 분석중인 추론 도엽명 목록
    *
    * @param uuid 추론 실행중인 uuid
    * @return
@@ -544,11 +612,41 @@ public class InferenceResultCoreService {
     return mapSheetLearn5kRepository.getInferenceRunMapId(uuid);
   }
 
+  /**
+   * 실패 처리되어야 할 목록 중에 아직 실패로 표시되지 않은 ID 조회
+   *
+   * @param uuid 추론 uuid
+   * @param failMapIds AI API 연결하여 조회한 실패 job id
+   * @param type 모델 타입
+   * @return job id
+   */
   public List<Long> findFail5kList(UUID uuid, List<Long> failMapIds, String type) {
     return mapSheetLearn5kRepository.findFail5kList(uuid, failMapIds, type);
   }
 
+  /**
+   * 완료된 것으로 들어온 목록 중 실제로 존재하는 5k jobId 조회
+   *
+   * @param uuid 추론 uuid
+   * @param completedIds AI API 연결하여 조회한 성공 job id
+   * @param type 모델 타입
+   * @return job id
+   */
   public List<Long> findCompleted5kList(UUID uuid, List<Long> completedIds, String type) {
     return mapSheetLearn5kRepository.findCompleted5kList(uuid, completedIds, type);
   }
+
+  /**
+   * testing 테이블 결과로 기본정보 조회
+   *
+   * @param batchIds batch id
+   * @return batch id, model ver, year 정보
+   */
+  public List<InferenceResultsTestingDto.Basic> getInferenceResultGroupList(List<Long> batchIds) {
+    return inferenceResultsTestingRepository.getInferenceResultGroupList(batchIds);
+  }
+
+  public long deleteInference(UUID uuid) {
+    return inferenceResultRepository.deleteInference(uuid);
+  }
 }

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

@@ -1,12 +1,17 @@
 package com.kamco.cd.kamcoback.postgres.core;
 
+import com.kamco.cd.kamcoback.common.exception.CustomApiException;
 import com.kamco.cd.kamcoback.inference.dto.InferenceResultShpDto;
+import com.kamco.cd.kamcoback.postgres.entity.MapSheetAnalInferenceEntity;
 import com.kamco.cd.kamcoback.postgres.repository.Inference.InferenceResultRepository;
 import lombok.RequiredArgsConstructor;
+import lombok.extern.log4j.Log4j2;
+import org.springframework.http.HttpStatus;
 import org.springframework.stereotype.Service;
 import org.springframework.transaction.annotation.Transactional;
 
 @Service
+@Log4j2
 @RequiredArgsConstructor
 public class InferenceResultShpCoreService {
 
@@ -15,15 +20,33 @@ public class InferenceResultShpCoreService {
   /**
    * inference_results 기준으로 - tb_map_sheet_anal_data_inference -
    * tb_map_sheet_anal_data_inference_geom 테이블을 최신 상태로 구성한다.
+   *
+   * @param id learn id
+   * @return
    */
   @Transactional
   public InferenceResultShpDto.InferenceCntDto buildInferenceData(Long id) {
-    Long analId = repo.upsertGroupsFromMapSheetAnal(id);
-    repo.upsertGroupsFromInferenceResults(analId);
-    repo.upsertGeomsFromInferenceResults(analId);
-    repo.upsertSttcFromInferenceResults(analId);
-    InferenceResultShpDto.InferenceCntDto cntDto = new InferenceResultShpDto.InferenceCntDto();
 
+    MapSheetAnalInferenceEntity analInferenceEntity =
+        repo.getAnalInferenceDataByLearnId(id).orElse(null);
+    if (analInferenceEntity != null) {
+      throw new CustomApiException("CONFLICT", HttpStatus.CONFLICT);
+    }
+
+    Long analId = repo.upsertGroupsFromMapSheetAnal(id);
+    int analDataCnt = repo.upsertGroupsFromInferenceResults(analId);
+    int geomCnt = repo.upsertGeomsFromInferenceResults(analId);
+    int sttcCnt = repo.upsertSttcFromInferenceResults(analId);
+    InferenceResultShpDto.InferenceCntDto cntDto = new InferenceResultShpDto.InferenceCntDto();
+    cntDto.setSheetAnalDataCnt(analDataCnt);
+    cntDto.setInferenceGeomCnt(geomCnt);
+    cntDto.setInferenceSttcnt(sttcCnt);
+    log.info(
+        "[ANAL SAVE] analId={}, tb_map_sheet_anal_data_inference={}, tb_map_sheet_anal_data_inference_geom={}, tb_map_sheet_anal_sttc={}",
+        analId,
+        analDataCnt,
+        geomCnt,
+        sttcCnt);
     return cntDto;
   }
 }

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

@@ -1,13 +1,8 @@
 package com.kamco.cd.kamcoback.postgres.core;
 
 import com.kamco.cd.kamcoback.common.enums.MngStateType;
-import com.kamco.cd.kamcoback.common.exception.CustomApiException;
 import com.kamco.cd.kamcoback.common.geometry.GeoJsonFileWriter;
 import com.kamco.cd.kamcoback.common.geometry.GeoJsonFileWriter.ImageFeature;
-import com.kamco.cd.kamcoback.common.geometry.GeoJsonFileWriter.Scene;
-import com.kamco.cd.kamcoback.inference.dto.InferenceResultDto;
-import com.kamco.cd.kamcoback.inference.dto.InferenceResultDto.DetectOption;
-import com.kamco.cd.kamcoback.inference.dto.InferenceResultDto.MapSheetScope;
 import com.kamco.cd.kamcoback.mapsheet.dto.MapSheetMngDto;
 import com.kamco.cd.kamcoback.mapsheet.dto.MapSheetMngDto.MngListCompareDto;
 import com.kamco.cd.kamcoback.mapsheet.dto.MapSheetMngDto.MngListDto;
@@ -21,21 +16,21 @@ import jakarta.persistence.EntityNotFoundException;
 import jakarta.validation.Valid;
 import java.io.IOException;
 import java.nio.file.Files;
-import java.nio.file.Path;
 import java.nio.file.Paths;
 import java.time.ZonedDateTime;
+import java.util.ArrayList;
 import java.util.Arrays;
-import java.util.HashMap;
+import java.util.Collections;
 import java.util.List;
 import java.util.Map;
 import java.util.Objects;
 import java.util.Optional;
 import java.util.UUID;
+import java.util.stream.Collectors;
 import lombok.RequiredArgsConstructor;
 import lombok.extern.slf4j.Slf4j;
 import org.springframework.beans.factory.annotation.Value;
 import org.springframework.data.domain.Page;
-import org.springframework.http.HttpStatus;
 import org.springframework.stereotype.Service;
 import org.springframework.transaction.annotation.Transactional;
 
@@ -53,13 +48,20 @@ public class MapSheetMngCoreService {
   @Value("${file.sync-root-dir}")
   private String syncRootDir;
 
-  @Value("${inference.geojson-dir}")
-  private String inferenceDir;
-
+  /**
+   * 영상데이터관리 > 목록 조회
+   *
+   * @return
+   */
   public List<MapSheetMngDto.MngDto> findMapSheetMngList() {
     return mapSheetMngRepository.findMapSheetMngList();
   }
 
+  /**
+   * 영상데이터관리 > 데이터 등록 > 연도 선택 목록
+   *
+   * @return
+   */
   public List<Integer> findMapSheetMngYyyyList() {
     return mapSheetMngRepository.findMapSheetMngYyyyList();
   }
@@ -76,6 +78,12 @@ public class MapSheetMngCoreService {
     return mapSheetMngRepository.getYears(req);
   }
 
+  /**
+   * 영상데이터관리 > 상세 조회
+   *
+   * @param mngYyyy
+   * @return
+   */
   public MapSheetMngDto.MngDto findMapSheetMng(int mngYyyy) {
     return mapSheetMngRepository.findMapSheetMng(mngYyyy);
   }
@@ -103,15 +111,33 @@ public class MapSheetMngCoreService {
     mapSheetMngRepository.updateMapSheetMngHstSyncCheckState(reqDto);
   }
 
+  /**
+   * 영상데이터관리 > 상세 > 오류 처리 내역
+   *
+   * @param searchReq 오류 검색 조건
+   * @return
+   */
   public Page<MapSheetMngDto.ErrorDataDto> findMapSheetErrorList(
       MapSheetMngDto.@Valid ErrorSearchReq searchReq) {
     return mapSheetMngRepository.findMapSheetErrorList(searchReq);
   }
 
+  /**
+   * hst 테이블에 선택한 hstUid row 정보 조회
+   *
+   * @param hstUid
+   * @return
+   */
   public MapSheetMngDto.ErrorDataDto findMapSheetError(Long hstUid) {
     return mapSheetMngRepository.findMapSheetError(hstUid);
   }
 
+  /**
+   * 파일 목록으로 업로드 경로 확인
+   *
+   * @param hstUid
+   * @return
+   */
   public List<MapSheetMngDto.MngFilesDto> findByHstUidMapSheetFileList(Long hstUid) {
     return mapSheetMngRepository.findByHstUidMapSheetFileList(hstUid);
   }
@@ -154,12 +180,19 @@ public class MapSheetMngCoreService {
     entity.setCreatedUid(addReq.getCreatedUid());
     entity.setUpdatedUid(addReq.getCreatedUid());
 
+    // 같은 년도로 저장된 데이터가 있다면 삭제
+    // tb_map_sheet_mng, tb_map_sheet_hst, tb_map_sheet_mng_files, tb_map_sheet_mng_tile
     mapSheetMngRepository.deleteByMngYyyyMngAll(addReq.getMngYyyy());
 
+    // tb_map_sheet_mng 엔티티 저장
     MapSheetMngEntity saved = mapSheetMngRepository.save(entity);
+
+    // 5k 도엽 기준으로 tb_map_sheet_hst 테이블에 먼저 insert 하기
     int hstCnt =
         mapSheetMngRepository.insertMapSheetOrgDataToMapSheetMngHst(
             saved.getMngYyyy(), saved.getMngPath());
+
+    // tb_year 에 해당 년도 완료로 업데이트
     mapSheetMngRepository.updateYearState(saved.getMngYyyy(), "DONE");
 
     // 년도별 Tile 정보 등록
@@ -233,94 +266,70 @@ public class MapSheetMngCoreService {
   }
 
   /**
-   * 추론 실행에 필요한 geojson 파일 생성
+   * geojson 생성시 필요한 영상파일 정보 조회
    *
-   * @param yyyy 영상관리 파일별 년도
-   * @param scenes 5k 도엽 번호 리스트
-   * @param mapSheetScope EXCL : 추론제외, PREV 이전 년도 도엽 사용
-   * @return
+   * @param yyyy
+   * @param mapSheetNums
+   * @return ImageFeature
    */
-  public Scene getSceneInference(
-      String yyyy, List<String> scenes, String mapSheetScope, String detectOption) {
+  public List<ImageFeature> loadSceneInferenceBySheets(String yyyy, List<String> mapSheetNums) {
 
-    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";
+    if (mapSheetNums == null || mapSheetNums.isEmpty()) {
+      return List.of();
     }
 
-    // 1) 경로/파일명 결정
-    String targetDir =
-        "local".equals(activeEnv) ? System.getProperty("user.home") + "/geojson" : inferenceDir;
+    // CHUNK_SIZE 단위로 나누어 여러 번 조회한다.
+    final int CHUNK_SIZE = 1000;
+    List<ImageFeature> features = new ArrayList<>();
 
-    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);
+    // i부터 CHUNK_SIZE만큼 잘라서 조회
+    // 마지막 구간은 남은 개수만큼만 처리하기 위해 Math.min 사용
+    for (int i = 0; i < mapSheetNums.size(); i += CHUNK_SIZE) {
+      List<String> chunk = mapSheetNums.subList(i, Math.min(i + CHUNK_SIZE, mapSheetNums.size()));
+      features.addAll(mapSheetMngRepository.getSceneInference(yyyy, chunk));
     }
+    return features;
   }
 
   /**
-   * 변화탐지 실행 가능 기준 년도 조회
+   * 년도별로 나눠 조회
    *
-   * @param req
-   * @return
+   * @param yearDtos
+   * @return ImageFeature
    */
-  public List<MngListDto> getHstMapSheetList(InferenceResultDto.RegReq req) {
-    return mapSheetMngRepository.findByHstMapSheetTargetList(req);
+  public List<ImageFeature> loadSceneInferenceByFallbackYears(List<MngListDto> yearDtos) {
+    if (yearDtos == null || yearDtos.isEmpty()) {
+      return List.of();
     }
 
-  public List<MngListDto> getHstMapSheetList(int mngYyyy, List<String> mapIds) {
-    return mapSheetMngRepository.findByHstMapSheetTargetList(mngYyyy, mapIds);
+    // 년도 별로 루프를 돌리기위해 년도별 정리
+    Map<Integer, List<MngListDto>> groupedByYear =
+        yearDtos.stream()
+            .filter(d -> d.getMngYyyy() != 0 && d.getMapSheetNum() != null)
+            .collect(Collectors.groupingBy(MngListDto::getMngYyyy));
+
+    List<ImageFeature> sceneInference = new ArrayList<>();
+
+    for (Map.Entry<Integer, List<MngListDto>> entry : groupedByYear.entrySet()) {
+      Integer year = entry.getKey();
+
+      // 년도별 mapSheetNum 만들기
+      List<String> sheetNums =
+          entry.getValue().stream()
+              .map(MngListDto::getMapSheetNum)
+              .filter(Objects::nonNull)
+              .distinct()
+              .toList();
+
+      // tif파일 정보 조회
+      List<ImageFeature> temp = loadSceneInferenceBySheets(year.toString(), sheetNums);
+
+      if (temp != null && !temp.isEmpty()) {
+        sceneInference.addAll(temp);
+      }
+    }
+
+    return sceneInference;
   }
 
   public void updateMapSheetMngHstUploadId(Long hstUid, UUID uuid, String uploadId) {
@@ -336,15 +345,42 @@ public class MapSheetMngCoreService {
    * 변화탐지 실행 가능 비교년도 조회
    *
    * @param mngYyyy 비교년도
-   * @param mapId 5k 도엽번호
+   * @param mapIds 5k 도엽번호
    * @return List<MngListCompareDto>
    */
-  public List<MngListCompareDto> getByHstMapSheetCompareList(int mngYyyy, List<String> mapId) {
-    return mapSheetMngYearRepository.findByHstMapSheetCompareList(mngYyyy, mapId);
+  public List<MngListCompareDto> getByHstMapSheetCompareList(int mngYyyy, List<String> mapIds) {
+    return mapSheetMngYearRepository.findByHstMapSheetCompareList(mngYyyy, mapIds);
   }
 
-  public List<String> getMapSheetMngHst(Integer year) {
-    List<MapSheetMngHstEntity> entity = mapSheetMngRepository.getMapSheetMngHst(year);
-    return entity.stream().map(MapSheetMngHstEntity::getMapSheetNum).toList();
+  public List<MngListDto> getMapSheetMngHst(Integer year, List<String> mapSheetNums50k) {
+    return mapSheetMngRepository.getMapSheetMngHst(year, mapSheetNums50k);
+  }
+
+  /**
+   * 이전 년도 도엽 조회 조건이 많을 수 있으므로 chunk 줘서 끊어서 조회
+   *
+   * @param year
+   * @param mapIds
+   * @return
+   */
+  public List<MngListDto> findFallbackCompareYearByMapSheets(Integer year, List<String> mapIds) {
+    if (mapIds == null || mapIds.isEmpty()) {
+      return Collections.emptyList();
+    }
+
+    int chunkSize = 1000;
+    List<MngListDto> result = new ArrayList<>();
+
+    for (int i = 0; i < mapIds.size(); i += chunkSize) {
+      List<String> chunk = mapIds.subList(i, Math.min(i + chunkSize, mapIds.size()));
+
+      result.addAll(mapSheetMngRepository.findFallbackCompareYearByMapSheets(year, chunk));
+    }
+
+    return result;
+  }
+
+  public void deleteByMngYyyyMngAll(Integer mngYyyy) {
+    mapSheetMngRepository.deleteByMngYyyyMngAll(mngYyyy);
   }
 }

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

@@ -1,5 +1,6 @@
 package com.kamco.cd.kamcoback.postgres.core;
 
+import com.kamco.cd.kamcoback.common.utils.HeaderUtil;
 import com.kamco.cd.kamcoback.menu.dto.MenuDto;
 import com.kamco.cd.kamcoback.menu.dto.MyMenuDto;
 import com.kamco.cd.kamcoback.postgres.entity.MenuEntity;
@@ -7,8 +8,10 @@ import com.kamco.cd.kamcoback.postgres.repository.menu.MenuRepository;
 import java.util.Comparator;
 import java.util.List;
 import lombok.RequiredArgsConstructor;
+import lombok.extern.slf4j.Slf4j;
 import org.springframework.stereotype.Service;
 
+@Slf4j
 @Service
 @RequiredArgsConstructor
 public class MenuCoreService {
@@ -27,6 +30,8 @@ public class MenuCoreService {
    */
   public List<MyMenuDto.Basic> getFindByRole(String role) {
     List<MenuEntity> entities = menuRepository.getFindByRole(role);
+    boolean english = HeaderUtil.isEnglishRequest();
+    log.info("[LANG CHECK] english={}", english);
 
     return entities.stream()
         .map(
@@ -34,7 +39,7 @@ public class MenuCoreService {
               MyMenuDto.Basic p =
                   new MyMenuDto.Basic(
                       parent.getMenuUid(),
-                      parent.getMenuNm(),
+                      english ? parent.getMenuNmEn() : parent.getMenuNm(),
                       parent.getMenuUrl(),
                       parent.getMenuOrder());
 
@@ -48,7 +53,10 @@ public class MenuCoreService {
                   .map(
                       c ->
                           new MyMenuDto.Basic(
-                              c.getMenuUid(), c.getMenuNm(), c.getMenuUrl(), c.getMenuOrder()))
+                              c.getMenuUid(),
+                              english ? c.getMenuNmEn() : c.getMenuNm(),
+                              c.getMenuUrl(),
+                              c.getMenuOrder()))
                   .forEach(childDto -> p.getChildren().add(childDto));
 
               return p;

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

@@ -17,6 +17,16 @@ public class ModelMngCoreService {
 
   private final ModelMngRepository modelMngRepository;
 
+  /**
+   * 모델조회
+   *
+   * @param searchReq 페이징
+   * @param startDate 시작날짜
+   * @param endDate 종료날짜
+   * @param modelType 모델 타입 G1, G2, G3
+   * @param searchVal 모델 ver
+   * @return 모델 목록
+   */
   public Page<ModelMngDto.ModelList> findModelMgmtList(
       ModelMngDto.searchReq searchReq,
       LocalDate startDate,
@@ -99,4 +109,18 @@ public class ModelMngCoreService {
             .orElseThrow(() -> new EntityNotFoundException("모델 정보가 없습니다."));
     return entity.toDto();
   }
+
+  /**
+   * 모델 버전명으로 조회
+   *
+   * @param ver 모델버전
+   * @return 모델정보
+   */
+  public ModelMngDto.Basic findByModelVer(String ver) {
+    ModelMngEntity entity =
+        modelMngRepository
+            .findByModelVer(ver)
+            .orElseThrow(() -> new EntityNotFoundException("모델 정보가 없습니다."));
+    return entity.toDto();
+  }
 }

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

@@ -11,37 +11,94 @@ import lombok.Getter;
 import lombok.Setter;
 import org.hibernate.annotations.ColumnDefault;
 
+/**
+ * GPU 메트릭 엔티티
+ *
+ * <p>서버의 GPU 성능 및 자원 사용량 메트릭 데이터를 저장하는 JPA 엔티티입니다. GPU 연산 사용률 및 메모리 사용량 등 GPU 리소스 모니터링 데이터를 관리합니다.
+ *
+ * <p>데이터 소스: nvidia-smi 명령어 또는 NVML (NVIDIA Management Library)
+ *
+ * <p>활용 사례:
+ *
+ * <ul>
+ *   <li>AI/ML 학습 모니터링: 딥러닝 작업 중 GPU 활용도 추적
+ *   <li>리소스 최적화: GPU 메모리 부족 또는 유휴 상태 감지
+ *   <li>용량 계획: GPU 추가 필요 시점 예측
+ *   <li>알림 설정: gpuUtil > 95% 또는 gpuMemUsed/gpuMemTotal > 90% 시 경고
+ * </ul>
+ */
 @Getter
 @Setter
 @Entity
 @Table(name = "gpu_metrics")
 public class GpuMetricEntity {
 
+  /** 기본 키 (UUID, 자동 생성) */
   @Id
   @ColumnDefault("gen_random_uuid()")
   @Column(name = "uuid", nullable = false)
   private UUID id;
 
+  /** 시퀀스 기반 보조 ID */
   @NotNull
   @ColumnDefault("nextval('gpu_metrics_id_seq')")
   @Column(name = "id", nullable = false)
   private Integer id1;
 
+  /** 메트릭 수집 시각 (시간대 포함, 기본값: 현재 시각) */
   @NotNull
   @ColumnDefault("now()")
   @Column(name = "\"timestamp\"", nullable = false)
   private OffsetDateTime timestamp;
 
+  /** 모니터링 대상 서버 이름 */
   @NotNull
   @Column(name = "server_name", nullable = false, length = Integer.MAX_VALUE)
   private String serverName;
 
+  /**
+   * GPU 연산 사용률 (백분율)
+   *
+   * <p>GPU 코어의 연산 처리 활용도를 나타냅니다.
+   *
+   * <p>범위: 0.0 ~ 100.0
+   *
+   * <p>예시: 85.5 = GPU가 85.5% 활용되어 연산 중
+   *
+   * <p>데이터 소스: nvidia-smi의 'utilization.gpu' 또는 NVML의 nvmlDeviceGetUtilizationRates
+   *
+   * <p>참고: 높은 사용률(>90%)은 GPU가 충분히 활용되고 있음을 의미하며, 낮은 사용률은 병목 지점이 다른 곳(CPU, I/O)에 있을 수 있음
+   */
   @Column(name = "gpu_util")
   private Float gpuUtil;
 
+  /**
+   * GPU 메모리 사용량 (MB 단위)
+   *
+   * <p>현재 GPU에 할당되어 사용 중인 메모리 양
+   *
+   * <p>예시: 10240.0 = 약 10GB의 GPU 메모리 사용 중
+   *
+   * <p>데이터 소스: nvidia-smi의 'memory.used' 또는 NVML의 nvmlDeviceGetMemoryInfo
+   *
+   * <p>용도: 딥러닝 모델 크기, 배치 사이즈 최적화, OOM(Out Of Memory) 에러 예측
+   */
   @Column(name = "gpu_mem_used")
   private Float gpuMemUsed;
 
+  /**
+   * GPU 총 메모리 용량 (MB 단위)
+   *
+   * <p>GPU에 장착된 전체 메모리 용량
+   *
+   * <p>예시: 16384.0 = 16GB VRAM 장착
+   *
+   * <p>데이터 소스: nvidia-smi의 'memory.total' 또는 NVML의 nvmlDeviceGetMemoryInfo
+   *
+   * <p>계산식: 메모리 사용률(%) = (gpuMemUsed / gpuMemTotal) × 100
+   *
+   * <p>활용: 여유 메모리 = gpuMemTotal - gpuMemUsed
+   */
   @Column(name = "gpu_mem_total")
   private Float gpuMemTotal;
 }

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

@@ -136,6 +136,10 @@ public class MapSheetAnalInferenceEntity {
   @Column(name = "model_m3_ver", length = 50)
   private String modelM3Ver;
 
+  @Size(max = 50)
+  @Column(name = "model_m4_ver", length = 50)
+  private String modelM4Ver;
+
   @Size(max = 20)
   @Column(name = "anal_target_type", length = 20)
   private String analTargetType;

src/main/java/com/kamco/cd/kamcoback/postgres/entity/MapSheetLearn5kEntity.java

@@ -64,6 +64,9 @@ public class MapSheetLearn5kEntity {
   @Column(name = "is_m3_fail")
   private Boolean isM3Fail = false;
 
+  @Column(name = "is_m4_fail")
+  private Boolean isM4Fail = false;
+
   @Column(name = "m1_error_message", columnDefinition = "text")
   private String m1ErrorMessage;
 
@@ -73,6 +76,9 @@ public class MapSheetLearn5kEntity {
   @Column(name = "m3_error_message", columnDefinition = "text")
   private String m3ErrorMessage;
 
+  @Column(name = "m4_error_message", columnDefinition = "text")
+  private String m4ErrorMessage;
+
   @Column(name = "m1_job_id")
   private Long m1JobId;
 
@@ -81,4 +87,7 @@ public class MapSheetLearn5kEntity {
 
   @Column(name = "m3_job_id")
   private Long m3JobId;
+
+  @Column(name = "m4_job_id")
+  private Long m4JobId;
 }

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

@@ -54,6 +54,9 @@ public class MapSheetLearnEntity {
   @Column(name = "m3_model_uuid")
   private UUID m3ModelUuid;
 
+  @Column(name = "m4_model_uuid")
+  private UUID m4ModelUuid;
+
   @Column(name = "compare_yyyy")
   private Integer compareYyyy;
 
@@ -187,6 +190,29 @@ public class MapSheetLearnEntity {
   @Column(name = "m3_failed_jobs", nullable = false)
   private int m3FailedJobs = 0;
 
+  /* ===================== M4 ===================== */
+
+  @Column(name = "m4_model_batch_id")
+  private Long m4ModelBatchId;
+
+  @Column(name = "m4_model_start_dttm")
+  private ZonedDateTime m4ModelStartDttm;
+
+  @Column(name = "m4_model_end_dttm")
+  private ZonedDateTime m4ModelEndDttm;
+
+  @Column(name = "m4_pending_jobs", nullable = false)
+  private int m4PendingJobs = 0;
+
+  @Column(name = "m4_running_jobs", nullable = false)
+  private int m4RunningJobs = 0;
+
+  @Column(name = "m4_completed_jobs", nullable = false)
+  private int m4CompletedJobs = 0;
+
+  @Column(name = "m4_failed_jobs", nullable = false)
+  private int m4FailedJobs = 0;
+
   @Column(name = "apply_status")
   private String applyStatus = GukYuinStatus.PENDING.getId();
 
@@ -202,6 +228,36 @@ public class MapSheetLearnEntity {
   @Column(name = "chn_dtct_mst_id")
   private String chnDtctMstId;
 
+  @Column(name = "shp_create_status")
+  private String shp_create_status;
+
+  @Column(name = "shp_create_message")
+  private String shp_create_message;
+
+  @Column(name = "shp_create_status_dttm")
+  private ZonedDateTime shp_create_status_dttm;
+
+  @Column(name = "shp_status")
+  private String shp_status;
+
+  @Column(name = "shp_stage")
+  private String shp_stage;
+
+  @Column(name = "shp_started_dttm")
+  private ZonedDateTime shp_started_dttm;
+
+  @Column(name = "shp_ended_dttm")
+  private ZonedDateTime shp_ended_dttm;
+
+  @Column(name = "shp_last_message")
+  private String shp_last_message;
+
+  @Column(name = "shp_error_message")
+  private String shp_error_message;
+
+  @Column(name = "is_deleted")
+  private Boolean isDeleted;
+
   public InferenceResultDto.ResultList toDto() {
     return new InferenceResultDto.ResultList(
         this.uuid,

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

@@ -53,8 +53,6 @@ import lombok.NoArgsConstructor;
  * system leveraging 1:5k map data.
  */
 @Getter
-// entity의 접근제어를 위해 @setter를 사용 x
-// @Setter
 @NoArgsConstructor(access = AccessLevel.PROTECTED)
 @Entity
 // 영상관리이력
@@ -92,7 +90,7 @@ public class MapSheetMngHstEntity extends CommonDateEntity {
   private Integer scaleRatio;
 
   @Column(name = "data_state", length = 20)
-  private String dataState;
+  private String dataState; // DONE,NOTYET 둘중하나임 같은연도는 같은값
 
   @Column(name = "data_state_dttm")
   private ZonedDateTime dataStateDttm;
@@ -165,13 +163,4 @@ public class MapSheetMngHstEntity extends CommonDateEntity {
 
   @Column(name = "upload_id")
   private String uploadId;
-
-  // 파일정보 업데이트
-  public void updateFileInfos(Long tifSizeBytes, Long tfwSizeBytes) {
-    tifSizeBytes = tifSizeBytes == null ? 0L : tifSizeBytes;
-    tfwSizeBytes = tfwSizeBytes == null ? 0L : tfwSizeBytes;
-    this.tifSizeBytes = tifSizeBytes;
-    this.tfwSizeBytes = tfwSizeBytes;
-    this.totalSizeBytes = tifSizeBytes + tfwSizeBytes;
-  }
 }

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

@@ -58,6 +58,9 @@ public class MenuEntity extends CommonDateEntity {
   @OneToMany(mappedBy = "parent", fetch = FetchType.LAZY, cascade = CascadeType.ALL)
   private List<MenuEntity> children = new ArrayList<>();
 
+  @Column(name = "menu_nm_en")
+  private String menuNmEn; // 영문 메뉴명
+
   public MenuDto.Basic toDto() {
     return new MenuDto.Basic(
         this.menuUid,
@@ -71,6 +74,7 @@ public class MenuEntity extends CommonDateEntity {
         this.updatedUid,
         this.children.stream().map(MenuEntity::toDto).toList(),
         this.getCreatedDate(),
-        this.getModifiedDate());
+        this.getModifiedDate(),
+        this.menuNmEn);
   }
 }

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

@@ -117,6 +117,7 @@ public class ModelMngEntity extends CommonDateEntity {
         this.clsModelFileName,
         this.clsModelVersion,
         this.priority,
-        this.memo);
+        this.memo,
+        this.uuid);
   }
 }

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

@@ -11,48 +11,101 @@ import lombok.Getter;
 import lombok.Setter;
 import org.hibernate.annotations.ColumnDefault;
 
+/**
+ * 시스템 메트릭 엔티티
+ *
+ * <p>서버 시스템의 성능 메트릭 데이터를 저장하는 JPA 엔티티입니다. CPU 및 메모리 사용량 등 시스템 리소스 모니터링 데이터를 관리합니다.
+ *
+ * <p>데이터 소스: Linux sar 명령어 또는 /proc/meminfo 파일
+ *
+ * <p>활용 사례:
+ *
+ * <ul>
+ *   <li>용량 계획: 메모리 추가 필요 시점 예측
+ *   <li>성능 모니터링: 메모리 부족 상황 감지
+ *   <li>트렌드 분석: 시간대별 메모리 사용 패턴 파악
+ *   <li>알림 설정: memused > 90% 시 경고
+ * </ul>
+ */
 @Getter
 @Setter
 @Entity
 @Table(name = "system_metrics")
 public class SystemMetricEntity {
 
+  /** 기본 키 (UUID, 자동 생성) */
   @Id
   @ColumnDefault("gen_random_uuid()")
   @Column(name = "uuid", nullable = false)
   private UUID id;
 
+  /** 시퀀스 기반 보조 ID */
   @NotNull
   @ColumnDefault("nextval('system_metrics_id_seq')")
   @Column(name = "id", nullable = false)
   private Integer id1;
 
+  /** 메트릭 수집 시각 (시간대 포함) */
   @NotNull
   @Column(name = "\"timestamp\"", nullable = false)
   private OffsetDateTime timestamp;
 
+  /** 모니터링 대상 서버 이름 */
   @NotNull
   @Column(name = "server_name", nullable = false, length = Integer.MAX_VALUE)
   private String serverName;
 
+  /** 사용자 프로세스가 사용한 CPU 사용률 (%) - 응용 프로그램 실행 */
   @Column(name = "cpu_user")
   private Float cpuUser;
 
+  /** 시스템 프로세스가 사용한 CPU 사용률 (%) - 커널 작업 */
   @Column(name = "cpu_system")
   private Float cpuSystem;
 
+  /** I/O 대기로 소모된 CPU 사용률 (%) - 디스크/네트워크 대기 */
   @Column(name = "cpu_iowait")
   private Float cpuIowait;
 
+  /** 유휴 상태 CPU 사용률 (%) - 사용 가능한 여유 CPU */
   @Column(name = "cpu_idle")
   private Float cpuIdle;
 
+  /**
+   * 사용 가능한 여유 메모리 (KB 단위)
+   *
+   * <p>시스템에서 즉시 사용 가능한 물리 메모리 양
+   *
+   * <p>예시: 4194304 = 약 4GB의 여유 메모리
+   *
+   * <p>데이터 소스: /proc/meminfo의 MemFree
+   */
   @Column(name = "kbmemfree")
   private Long kbmemfree;
 
+  /**
+   * 현재 사용 중인 메모리 (KB 단위)
+   *
+   * <p>시스템이 현재 할당하여 사용 중인 물리 메모리 양
+   *
+   * <p>예시: 8388608 = 약 8GB의 사용 중인 메모리
+   *
+   * <p>계산: MemTotal - MemFree
+   */
   @Column(name = "kbmemused")
   private Long kbmemused;
 
+  /**
+   * 메모리 사용률 (백분율)
+   *
+   * <p>전체 메모리 대비 사용 중인 메모리 비율
+   *
+   * <p>계산식: (kbmemused / (kbmemused + kbmemfree)) × 100
+   *
+   * <p>예시: 66.7 = 전체 메모리의 66.7% 사용 중
+   *
+   * <p>관계식: 총 메모리 = kbmemused + kbmemfree
+   */
   @Column(name = "memused")
   private Float memused;
 }

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

@@ -1,20 +1,72 @@
 package com.kamco.cd.kamcoback.postgres.repository.Inference;
 
+import com.kamco.cd.kamcoback.postgres.entity.MapSheetAnalInferenceEntity;
 import com.kamco.cd.kamcoback.postgres.entity.MapSheetLearnEntity;
 import java.util.Optional;
 import java.util.UUID;
 
 public interface InferenceResultRepositoryCustom {
 
+  /**
+   * tb_map_sheet_anal_inference 추론 결과 목록 저장
+   *
+   * @param id learn 테이블 id
+   * @return
+   */
   Long upsertGroupsFromMapSheetAnal(Long id);
 
-  void upsertGroupsFromInferenceResults(Long analId);
+  /**
+   * tb_map_sheet_anal_data_inference 추론 결과 상세 저장
+   *
+   * @param analId
+   * @return
+   */
+  int upsertGroupsFromInferenceResults(Long analId);
 
-  void upsertGeomsFromInferenceResults(Long analId);
+  /**
+   * tb_map_sheet_anal_data_inference_geom geom 목록 추론 결과 저장
+   *
+   * @param analId
+   * @return
+   */
+  int upsertGeomsFromInferenceResults(Long analId);
 
-  void upsertSttcFromInferenceResults(Long analId);
+  /**
+   * tb_map_sheet_anal_sttc 집계 추론 결과 저장
+   *
+   * @param analId
+   * @return
+   */
+  int upsertSttcFromInferenceResults(Long analId);
 
+  /**
+   * 추론실행 목록 uuid 조회
+   *
+   * @param uuid 추론 uuid
+   * @return 추론 실행 정보
+   */
   Long getInferenceLearnIdByUuid(UUID uuid);
 
+  /**
+   * 추론 정보 조회
+   *
+   * @param uuid 추론 uuid
+   * @return 추론 정보
+   */
   Optional<MapSheetLearnEntity> getInferenceUid(UUID uuid);
+
+  /**
+   * learn id 로 analInference 값 조회
+   *
+   * @param id 추론 id
+   * @return
+   */
+  Optional<MapSheetAnalInferenceEntity> getAnalInferenceDataByLearnId(Long id);
+
+  /**
+   * 추론 삭제
+   *
+   * @param uuid
+   */
+  long deleteInference(UUID uuid);
 }

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

@@ -1,8 +1,10 @@
 package com.kamco.cd.kamcoback.postgres.repository.Inference;
 
+import static com.kamco.cd.kamcoback.postgres.entity.QMapSheetAnalInferenceEntity.mapSheetAnalInferenceEntity;
 import static com.kamco.cd.kamcoback.postgres.entity.QMapSheetLearnEntity.mapSheetLearnEntity;
 
 import com.kamco.cd.kamcoback.label.dto.LabelAllocateDto.LabelMngState;
+import com.kamco.cd.kamcoback.postgres.entity.MapSheetAnalInferenceEntity;
 import com.kamco.cd.kamcoback.postgres.entity.MapSheetLearnEntity;
 import com.querydsl.jpa.impl.JPAQueryFactory;
 import jakarta.persistence.EntityManager;
@@ -36,6 +38,7 @@ public class InferenceResultRepositoryImpl implements InferenceResultRepositoryC
                     m1_model_batch_id,
                     m2_model_batch_id,
                     m3_model_batch_id,
+                    m4_model_batch_id,
                     learn_id,
                     anal_state
                 )
@@ -49,6 +52,7 @@ public class InferenceResultRepositoryImpl implements InferenceResultRepositoryC
                     r.m1_model_batch_id,
                     r.m2_model_batch_id,
                     r.m3_model_batch_id,
+                    r.m4_model_batch_id,
                     r.id,
                     :pendingStateId
                  FROM tb_map_sheet_learn r
@@ -80,7 +84,7 @@ public class InferenceResultRepositoryImpl implements InferenceResultRepositoryC
    * @return 반영된 행 수
    */
   @Override
-  public void upsertGroupsFromInferenceResults(Long analId) {
+  public int upsertGroupsFromInferenceResults(Long analId) {
 
     String sql =
         """
@@ -109,7 +113,8 @@ public class InferenceResultRepositoryImpl implements InferenceResultRepositoryC
           ON r.batch_id IN (
               msl.m1_model_batch_id,
               msl.m2_model_batch_id,
-              msl.m3_model_batch_id
+              msl.m3_model_batch_id,
+              msl.m4_model_batch_id
             )
         WHERE msl.anal_uid = :analId
         group by msl.anal_uid,
@@ -124,7 +129,7 @@ public class InferenceResultRepositoryImpl implements InferenceResultRepositoryC
             updated_dttm  = now()
         """;
 
-    em.createNativeQuery(sql).setParameter("analId", analId).executeUpdate();
+    return em.createNativeQuery(sql).setParameter("analId", analId).executeUpdate();
   }
 
   /**
@@ -136,7 +141,7 @@ public class InferenceResultRepositoryImpl implements InferenceResultRepositoryC
    * @return 반영된 행 수
    */
   @Override
-  public void upsertGeomsFromInferenceResults(Long analUid) {
+  public int upsertGeomsFromInferenceResults(Long analUid) {
 
     String sql =
         """
@@ -205,7 +210,8 @@ public class InferenceResultRepositoryImpl implements InferenceResultRepositoryC
               ON r.batch_id IN (
                   msl.m1_model_batch_id,
                   msl.m2_model_batch_id,
-                  msl.m3_model_batch_id
+                  msl.m3_model_batch_id,
+                  msl.m4_model_batch_id
                 )
            INNER JOIN tb_map_sheet_anal_data_inference  msadi
            ON msadi.anal_uid = msl.anal_uid
@@ -214,6 +220,9 @@ public class InferenceResultRepositoryImpl implements InferenceResultRepositoryC
            WHERE msl.anal_uid = :analUid
            AND r.after_c is not null
            AND r.after_p is not null
+           AND r.probability is not null
+           AND r.before_c is not null
+           AND r.before_p is not null
             ORDER BY r.uid, r.created_date DESC NULLS LAST
         ) x
         ON CONFLICT (result_uid)
@@ -229,11 +238,11 @@ public class InferenceResultRepositoryImpl implements InferenceResultRepositoryC
             ref_map_sheet_num = EXCLUDED.ref_map_sheet_num
         """;
 
-    em.createNativeQuery(sql).setParameter("analUid", analUid).executeUpdate();
+    return em.createNativeQuery(sql).setParameter("analUid", analUid).executeUpdate();
   }
 
   @Override
-  public void upsertSttcFromInferenceResults(Long analUid) {
+  public int upsertSttcFromInferenceResults(Long analUid) {
 
     String sql =
         """
@@ -306,7 +315,7 @@ public class InferenceResultRepositoryImpl implements InferenceResultRepositoryC
          ,updated_uid          = EXCLUDED.updated_uid
         """;
 
-    em.createNativeQuery(sql).setParameter("analUid", analUid).executeUpdate();
+    return em.createNativeQuery(sql).setParameter("analUid", analUid).executeUpdate();
   }
 
   // ===============================
@@ -331,4 +340,23 @@ public class InferenceResultRepositoryImpl implements InferenceResultRepositoryC
             .where(mapSheetLearnEntity.uuid.eq(uuid))
             .fetchOne());
   }
+
+  @Override
+  public Optional<MapSheetAnalInferenceEntity> getAnalInferenceDataByLearnId(Long id) {
+    return Optional.ofNullable(
+        queryFactory
+            .select(mapSheetAnalInferenceEntity)
+            .from(mapSheetAnalInferenceEntity)
+            .where(mapSheetAnalInferenceEntity.learnId.eq(id))
+            .fetchOne());
+  }
+
+  @Override
+  public long deleteInference(UUID uuid) {
+    return queryFactory
+        .update(mapSheetLearnEntity)
+        .set(mapSheetLearnEntity.isDeleted, true)
+        .where(mapSheetLearnEntity.uuid.eq(uuid))
+        .execute();
+  }
 }

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

@@ -1,11 +1,32 @@
 package com.kamco.cd.kamcoback.postgres.repository.Inference;
 
+import com.kamco.cd.kamcoback.inference.dto.InferenceResultsTestingDto;
 import com.kamco.cd.kamcoback.postgres.entity.InferenceResultsTestingEntity;
 import java.util.List;
 
 public interface InferenceResultsTestingRepositoryCustom {
 
+  /**
+   * 추론 결과 조회
+   *
+   * @param batchIds batch id
+   * @return 추론 결과 목록
+   */
   List<InferenceResultsTestingEntity> getInferenceResultList(List<Long> batchIds);
 
+  /**
+   * 테스팅 테이블 조회하여 탐지건수 조회
+   *
+   * @param batchIds batchIds
+   * @return batchIds 조회 count 수
+   */
   Long getInferenceResultCnt(List<Long> batchIds);
+
+  /**
+   * testing 테이블 결과로 기본정보 조회
+   *
+   * @param batchIds batch id
+   * @return batch id, model ver, year 정보
+   */
+  List<InferenceResultsTestingDto.Basic> getInferenceResultGroupList(List<Long> batchIds);
 }

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

@@ -2,7 +2,9 @@ package com.kamco.cd.kamcoback.postgres.repository.Inference;
 
 import static com.kamco.cd.kamcoback.postgres.entity.QInferenceResultsTestingEntity.inferenceResultsTestingEntity;
 
+import com.kamco.cd.kamcoback.inference.dto.InferenceResultsTestingDto;
 import com.kamco.cd.kamcoback.postgres.entity.InferenceResultsTestingEntity;
+import com.querydsl.core.types.Projections;
 import com.querydsl.jpa.impl.JPAQueryFactory;
 import java.util.List;
 import lombok.RequiredArgsConstructor;
@@ -21,11 +23,12 @@ public class InferenceResultsTestingRepositoryImpl
         .select(inferenceResultsTestingEntity)
         .from(inferenceResultsTestingEntity)
         .where(
-            inferenceResultsTestingEntity
-                .batchId
-                .in(batchIds)
-                .and(inferenceResultsTestingEntity.afterC.isNotNull())
-                .and(inferenceResultsTestingEntity.afterP.isNotNull()))
+            inferenceResultsTestingEntity.batchId.in(batchIds),
+            inferenceResultsTestingEntity.afterC.isNotNull(),
+            inferenceResultsTestingEntity.afterP.isNotNull(),
+            inferenceResultsTestingEntity.beforeC.isNotNull(),
+            inferenceResultsTestingEntity.beforeP.isNotNull(),
+            inferenceResultsTestingEntity.probability.isNotNull())
         .fetch();
   }
 
@@ -42,9 +45,38 @@ public class InferenceResultsTestingRepositoryImpl
             .where(
                 inferenceResultsTestingEntity.batchId.in(batchIds),
                 inferenceResultsTestingEntity.afterC.isNotNull(),
-                inferenceResultsTestingEntity.afterP.isNotNull())
+                inferenceResultsTestingEntity.afterP.isNotNull(),
+                inferenceResultsTestingEntity.beforeC.isNotNull(),
+                inferenceResultsTestingEntity.beforeP.isNotNull(),
+                inferenceResultsTestingEntity.probability.isNotNull())
             .fetchOne();
 
     return cnt == null ? 0L : cnt;
   }
+
+  @Override
+  public List<InferenceResultsTestingDto.Basic> getInferenceResultGroupList(List<Long> batchIds) {
+    return queryFactory
+        .select(
+            Projections.constructor(
+                InferenceResultsTestingDto.Basic.class,
+                inferenceResultsTestingEntity.batchId,
+                inferenceResultsTestingEntity.modelVersion.max(),
+                inferenceResultsTestingEntity.beforeYear.max(),
+                inferenceResultsTestingEntity.afterYear.max()))
+        .from(inferenceResultsTestingEntity)
+        .where(
+            inferenceResultsTestingEntity.batchId.in(batchIds),
+            inferenceResultsTestingEntity.afterC.isNotNull(),
+            inferenceResultsTestingEntity.afterP.isNotNull(),
+            inferenceResultsTestingEntity.beforeC.isNotNull(),
+            inferenceResultsTestingEntity.beforeP.isNotNull(),
+            inferenceResultsTestingEntity.probability.isNotNull())
+        .groupBy(
+            inferenceResultsTestingEntity.batchId,
+            inferenceResultsTestingEntity.modelVersion,
+            inferenceResultsTestingEntity.beforeYear,
+            inferenceResultsTestingEntity.afterYear)
+        .fetch();
+  }
 }

src/main/java/com/kamco/cd/kamcoback/postgres/repository/Inference/MapSheetLearn5kRepositoryCustom.java

@@ -6,13 +6,49 @@ import java.util.UUID;
 
 public interface MapSheetLearn5kRepositoryCustom {
 
+  /**
+   * 추론 실행 실패 정보 저장
+   *
+   * @param uuid 추론 uuid
+   * @param jobDto AI API에서 조회한 Job 정보
+   * @param type 모델 타입
+   */
   void saveFail5k(UUID uuid, JobStatusDto jobDto, String type);
 
+  /**
+   * 추론 실행중인 Job id 저장
+   *
+   * @param uuid 추론 uuid
+   * @param jobDto AI API에서 조회한 Job 정보
+   * @param type 모델 타입
+   */
   void saveJobId(UUID uuid, JobStatusDto jobDto, String type);
 
+  /**
+   * 실패 처리되어야 할 목록 중에 아직 실패로 표시되지 않은 ID 조회
+   *
+   * @param uuid 추론 uuid
+   * @param failIds AI API 연결하여 조회한 실패 job id
+   * @param type 모델 타입
+   * @return 실패로 표시되지 않은 ID
+   */
   List<Long> findFail5kList(UUID uuid, List<Long> failIds, String type);
 
+  /**
+   * 완료된 것으로 들어온 목록 중 실제로 존재하는 5k jobId 조회
+   *
+   * @param uuid 추론 uuid
+   * @param completedIds AI API 연결하여 조회한 실패 job id
+   * @param type 모델 타입
+   * @return 성공한 job id
+   */
   List<Long> findCompleted5kList(UUID uuid, List<Long> completedIds, String type);
 
+  /**
+   * 추론 실행중일때 분석중인 도엽명 목록 조회
+   *
+   * @param uuid 추론 uuid
+   * @return 도엽명+50K 도엽번호
+   */
   List<String> getInferenceRunMapId(UUID uuid);
 }

src/main/java/com/kamco/cd/kamcoback/postgres/repository/Inference/MapSheetLearn5kRepositoryImpl.java

@@ -50,6 +50,11 @@ public class MapSheetLearn5kRepositoryImpl implements MapSheetLearn5kRepositoryC
         jobIdPath = mapSheetLearn5kEntity.m3JobId;
         errorMsgPath = mapSheetLearn5kEntity.m3ErrorMessage;
       }
+      case "G4" -> {
+        failPath = mapSheetLearn5kEntity.isM4Fail;
+        jobIdPath = mapSheetLearn5kEntity.m4JobId;
+        errorMsgPath = mapSheetLearn5kEntity.m4ErrorMessage;
+      }
       default -> {
         return;
       }
@@ -97,6 +102,10 @@ public class MapSheetLearn5kRepositoryImpl implements MapSheetLearn5kRepositoryC
         failPath = mapSheetLearn5kEntity.isM3Fail;
         jobIdPath = mapSheetLearn5kEntity.m3JobId;
       }
+      case "G4" -> {
+        failPath = mapSheetLearn5kEntity.isM4Fail;
+        jobIdPath = mapSheetLearn5kEntity.m4JobId;
+      }
       default -> {
         return;
       }
@@ -147,6 +156,10 @@ public class MapSheetLearn5kRepositoryImpl implements MapSheetLearn5kRepositoryC
         jobIdPath = mapSheetLearn5kEntity.m3JobId;
         failPath = mapSheetLearn5kEntity.isM3Fail;
       }
+      case "G4" -> {
+        jobIdPath = mapSheetLearn5kEntity.m4JobId;
+        failPath = mapSheetLearn5kEntity.isM4Fail;
+      }
       default -> {
         return List.of();
       }
@@ -189,6 +202,9 @@ public class MapSheetLearn5kRepositoryImpl implements MapSheetLearn5kRepositoryC
       case "G3" -> {
         jobIdPath = mapSheetLearn5kEntity.m3JobId;
       }
+      case "G4" -> {
+        jobIdPath = mapSheetLearn5kEntity.m4JobId;
+      }
       default -> {
         return List.of();
       }

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

@@ -30,6 +30,7 @@ import com.kamco.cd.kamcoback.postgres.entity.QMapSheetAnalInferenceEntity;
 import com.kamco.cd.kamcoback.postgres.entity.QMapSheetLearnEntity;
 import com.kamco.cd.kamcoback.postgres.entity.QModelMngEntity;
 import com.querydsl.core.BooleanBuilder;
+import com.querydsl.core.Tuple;
 import com.querydsl.core.types.Expression;
 import com.querydsl.core.types.Projections;
 import com.querydsl.core.types.dsl.BooleanExpression;
@@ -37,13 +38,10 @@ import com.querydsl.core.types.dsl.CaseBuilder;
 import com.querydsl.core.types.dsl.Expressions;
 import com.querydsl.core.types.dsl.NumberExpression;
 import com.querydsl.core.types.dsl.StringExpression;
-import com.querydsl.jpa.JPAExpressions;
 import com.querydsl.jpa.impl.JPAQueryFactory;
 import java.time.OffsetDateTime;
-import java.util.List;
-import java.util.Objects;
-import java.util.Optional;
-import java.util.UUID;
+import java.util.*;
+import java.util.stream.Collectors;
 import lombok.RequiredArgsConstructor;
 import org.apache.commons.lang3.StringUtils;
 import org.springframework.data.domain.Page;
@@ -90,6 +88,9 @@ public class MapSheetLearnRepositoryImpl implements MapSheetLearnRepositoryCusto
       builder.and(mapSheetLearnEntity.title.containsIgnoreCase(req.getTitle()));
     }
 
+    // 삭제여부 값 추가
+    builder.and(mapSheetLearnEntity.isDeleted.eq(false).or(mapSheetLearnEntity.isDeleted.isNull()));
+
     List<MapSheetLearnEntity> content =
         queryFactory
             .select(mapSheetLearnEntity)
@@ -195,6 +196,7 @@ public class MapSheetLearnRepositoryImpl implements MapSheetLearnRepositoryCusto
     QModelMngEntity m1Model = new QModelMngEntity("m1Model");
     QModelMngEntity m2Model = new QModelMngEntity("m2Model");
     QModelMngEntity m3Model = new QModelMngEntity("m3Model");
+    QModelMngEntity m4Model = new QModelMngEntity("m4Model");
 
     InferenceStatusDetailDto foundContent =
         queryFactory
@@ -205,21 +207,27 @@ public class MapSheetLearnRepositoryImpl implements MapSheetLearnRepositoryCusto
                     mapSheetLearnEntity.m1PendingJobs,
                     mapSheetLearnEntity.m2PendingJobs,
                     mapSheetLearnEntity.m3PendingJobs,
+                    mapSheetLearnEntity.m4PendingJobs,
                     mapSheetLearnEntity.m1RunningJobs,
                     mapSheetLearnEntity.m2RunningJobs,
                     mapSheetLearnEntity.m3RunningJobs,
+                    mapSheetLearnEntity.m4RunningJobs,
                     mapSheetLearnEntity.m1CompletedJobs,
                     mapSheetLearnEntity.m2CompletedJobs,
                     mapSheetLearnEntity.m3CompletedJobs,
+                    mapSheetLearnEntity.m4CompletedJobs,
                     mapSheetLearnEntity.m1FailedJobs,
                     mapSheetLearnEntity.m2FailedJobs,
                     mapSheetLearnEntity.m3FailedJobs,
+                    mapSheetLearnEntity.m4FailedJobs,
                     mapSheetLearnEntity.m1ModelStartDttm,
                     mapSheetLearnEntity.m2ModelStartDttm,
                     mapSheetLearnEntity.m3ModelStartDttm,
+                    mapSheetLearnEntity.m4ModelStartDttm,
                     mapSheetLearnEntity.m1ModelEndDttm,
                     mapSheetLearnEntity.m2ModelEndDttm,
                     mapSheetLearnEntity.m3ModelEndDttm,
+                    mapSheetLearnEntity.m4ModelEndDttm,
                     mapSheetLearnEntity.title,
                     mapSheetLearnEntity.compareYyyy,
                     mapSheetLearnEntity.targetYyyy,
@@ -231,6 +239,7 @@ public class MapSheetLearnRepositoryImpl implements MapSheetLearnRepositoryCusto
                     m1Model.modelVer.as("model1Ver"),
                     m2Model.modelVer.as("model2Ver"),
                     m3Model.modelVer.as("model3Ver"),
+                    m4Model.modelVer.as("model4Ver"),
                     mapSheetLearnEntity.totalJobs))
             .from(mapSheetLearnEntity)
             .leftJoin(m1Model)
@@ -239,6 +248,8 @@ public class MapSheetLearnRepositoryImpl implements MapSheetLearnRepositoryCusto
             .on(m2Model.uuid.eq(mapSheetLearnEntity.m2ModelUuid))
             .leftJoin(m3Model)
             .on(m3Model.uuid.eq(mapSheetLearnEntity.m3ModelUuid))
+            .leftJoin(m4Model)
+            .on(m4Model.uuid.eq(mapSheetLearnEntity.m4ModelUuid))
             .where(mapSheetLearnEntity.uuid.eq(uuid))
             .fetchOne();
 
@@ -291,29 +302,12 @@ 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");
     QModelMngEntity m2 = new QModelMngEntity("m2");
     QModelMngEntity m3 = new QModelMngEntity("m3");
+    QModelMngEntity m4 = new QModelMngEntity("m4");
 
     return queryFactory
         .select(
@@ -323,6 +317,7 @@ public class MapSheetLearnRepositoryImpl implements MapSheetLearnRepositoryCusto
                 m1.modelVer,
                 m2.modelVer,
                 m3.modelVer,
+                m4.modelVer,
                 mapSheetLearnEntity.compareYyyy,
                 mapSheetLearnEntity.targetYyyy,
                 mapSheetLearnEntity.detectOption,
@@ -333,7 +328,8 @@ public class MapSheetLearnRepositoryImpl implements MapSheetLearnRepositoryCusto
                 Expressions.stringTemplate("substring({0} from 1 for 8)", mapSheetLearnEntity.uid),
                 mapSheetLearnEntity.applyYn,
                 mapSheetLearnEntity.applyDttm,
-                mapSheetAnalInferenceEntity.uuid))
+                mapSheetAnalInferenceEntity.uuid,
+                mapSheetLearnEntity.status))
         .from(mapSheetLearnEntity)
         .leftJoin(m1)
         .on(mapSheetLearnEntity.m1ModelUuid.eq(m1.uuid))
@@ -341,6 +337,8 @@ public class MapSheetLearnRepositoryImpl implements MapSheetLearnRepositoryCusto
         .on(mapSheetLearnEntity.m2ModelUuid.eq(m2.uuid))
         .leftJoin(m3)
         .on(mapSheetLearnEntity.m3ModelUuid.eq(m3.uuid))
+        .leftJoin(m4)
+        .on(mapSheetLearnEntity.m4ModelUuid.eq(m4.uuid))
         .leftJoin(mapSheetAnalInferenceEntity)
         .on(mapSheetAnalInferenceEntity.learnId.eq(mapSheetLearnEntity.id))
         .where(mapSheetLearnEntity.uuid.eq(uuid))
@@ -462,12 +460,14 @@ public class MapSheetLearnRepositoryImpl implements MapSheetLearnRepositoryCusto
     NumberExpression<Long> inkxNoAsLong =
         Expressions.numberTemplate(Long.class, "cast({0} as long)", mapInkx5kEntity.mapidcdNo);
 
+    /* 미사용
     StringExpression pnu =
         Expressions.stringTemplate(
             "nullif(({0}), '')",
             JPAExpressions.select(Expressions.stringTemplate("string_agg({0}, ',')", pnuEntity.pnu))
                 .from(pnuEntity)
                 .where(pnuEntity.geo.geoUid.eq(mapSheetAnalDataInferenceGeomEntity.geoUid)));
+    */
 
     // 4) content
     List<Geom> content =
@@ -475,6 +475,7 @@ public class MapSheetLearnRepositoryImpl implements MapSheetLearnRepositoryCusto
             .select(
                 Projections.constructor(
                     Geom.class,
+                    mapSheetAnalDataInferenceGeomEntity.geoUid,
                     mapSheetAnalDataInferenceGeomEntity.uuid,
                     mapSheetAnalDataInferenceGeomEntity.resultUid,
                     mapSheetAnalDataInferenceGeomEntity.compareYyyy,
@@ -489,7 +490,7 @@ public class MapSheetLearnRepositoryImpl implements MapSheetLearnRepositoryCusto
                     Expressions.stringTemplate(
                         "substring({0} from 1 for 8)",
                         mapSheetAnalDataInferenceGeomEntity.resultUid),
-                    pnu,
+                    Expressions.constant(""),
                     mapSheetAnalDataInferenceGeomEntity.fitState))
             .from(mapSheetAnalInferenceEntity)
             .join(mapSheetAnalDataInferenceEntity)
@@ -504,6 +505,33 @@ public class MapSheetLearnRepositoryImpl implements MapSheetLearnRepositoryCusto
             .limit(pageable.getPageSize())
             .fetch();
 
+    // 4-1) pnu 를 geoUid 로 검색하기 -> AS-IS 에서는 전체 tb_pnu 를 조회해서 오래 걸렸음
+    List<Long> geoUids = content.stream().map(Geom::getGeoUid).filter(Objects::nonNull).toList();
+    Map<Long, String> pnuMap = new HashMap<>();
+
+    if (!geoUids.isEmpty()) {
+      StringExpression pnuAgg = Expressions.stringTemplate("string_agg({0}, ',')", pnuEntity.pnu);
+
+      List<Tuple> pnuRows =
+          queryFactory
+              .select(
+                  pnuEntity.geo.geoUid,
+                  Expressions.stringTemplate("string_agg({0}, ',')", pnuEntity.pnu))
+              .from(pnuEntity)
+              .where(pnuEntity.geo.geoUid.in(geoUids))
+              .groupBy(pnuEntity.geo.geoUid)
+              .fetch();
+
+      pnuMap =
+          pnuRows.stream()
+              .collect(
+                  Collectors.toMap(row -> row.get(pnuEntity.geo.geoUid), row -> row.get(pnuAgg)));
+    }
+
+    for (Geom geom : content) {
+      geom.setPnu(pnuMap.get(geom.getGeoUid()));
+    }
+
     // 5) total (조인 최소화 유지)
     Long total =
         queryFactory
@@ -528,6 +556,7 @@ public class MapSheetLearnRepositoryImpl implements MapSheetLearnRepositoryCusto
   @Override
   public GukYuinLinkFacts findLinkFacts(UUID uuid) {
 
+    // 해당 추론 있는지 확인
     MapSheetLearnEntity learn =
         queryFactory
             .selectFrom(QMapSheetLearnEntity.mapSheetLearnEntity)
@@ -535,18 +564,21 @@ public class MapSheetLearnRepositoryImpl implements MapSheetLearnRepositoryCusto
             .fetchOne();
 
     if (learn == null) {
-      return new GukYuinLinkFacts(false, false, false, false);
+      return new GukYuinLinkFacts(false, false, false, false, null);
     }
 
+    // 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;
 
-    boolean hasRunningInference =
+    // 현재 국유인 연동하려는 추론의 비교년도,기준년도와 같은 회차 중, 할당되거나 진행중인 학습데이터 uuid 조회
+    // ex. 2022-2023년도 9회차 학습데이터 제작 진행중 -> 10회차 연동하려고 할 시, 먼저 9회차를 종료해야 함
+    UUID runningInferenceUuid =
         queryFactory
-                .selectOne()
+            .select(inf.uuid)
             .from(inf)
             .join(learn2)
             .on(inf.learnId.eq(learn2.id))
@@ -554,9 +586,11 @@ public class MapSheetLearnRepositoryImpl implements MapSheetLearnRepositoryCusto
                 learn2.compareYyyy.eq(learn.getCompareYyyy()),
                 learn2.targetYyyy.eq(learn.getTargetYyyy()),
                 inf.analState.in("ASSIGNED", "ING"))
-                .fetchFirst()
-            != null;
+            .fetchFirst();
 
+    boolean hasRunningInference = runningInferenceUuid != null;
+
+    // 국유인 작업 진행중 있는지 확인
     boolean hasOtherUnfinishedGukYuin =
         queryFactory
                 .selectOne()
@@ -569,6 +603,7 @@ public class MapSheetLearnRepositoryImpl implements MapSheetLearnRepositoryCusto
                 .fetchFirst()
             != null;
 
-    return new GukYuinLinkFacts(true, isPartScope, hasRunningInference, hasOtherUnfinishedGukYuin);
+    return new GukYuinLinkFacts(
+        true, isPartScope, hasRunningInference, hasOtherUnfinishedGukYuin, runningInferenceUuid);
   }
 }

src/main/java/com/kamco/cd/kamcoback/postgres/repository/changedetection/ChangeDetectionRepositoryCustom.java

@@ -3,6 +3,8 @@ package com.kamco.cd.kamcoback.postgres.repository.changedetection;
 import com.kamco.cd.kamcoback.changedetection.dto.ChangeDetectionDto;
 import com.kamco.cd.kamcoback.changedetection.dto.ChangeDetectionDto.MapScaleType;
 import com.kamco.cd.kamcoback.changedetection.dto.ChangeDetectionDto.MapSheetList;
+import com.kamco.cd.kamcoback.changedetection.dto.ChangeDetectionDto.PointFeatureList;
+import com.kamco.cd.kamcoback.changedetection.dto.ChangeDetectionDto.PolygonFeatureList;
 import java.util.List;
 import java.util.Optional;
 import java.util.UUID;
@@ -31,10 +33,10 @@ public interface ChangeDetectionRepositoryCustom {
   List<MapSheetList> getChangeDetectionMapSheet50kList(UUID uuid);
 
   ChangeDetectionDto.PolygonFeatureList getPolygonListByCd(
-      String chnDtctId, String cdObjectId, List<String> cdObjectIds);
+      String chnDtctId, String cdObjectId, List<String> cdObjectIds, String pnu);
 
   ChangeDetectionDto.PointFeatureList getPointListByCd(
-      String chnDtctId, String cdObjectId, List<String> cdObjectIds);
+      String chnDtctId, String cdObjectId, List<String> cdObjectIds, String pnu);
 
   ChangeDetectionDto.PolygonFeatureList getSelectedChangeDetectionPolygonListByPnu(
       String chnDtctId, String pnu);
@@ -43,4 +45,8 @@ public interface ChangeDetectionRepositoryCustom {
       String chnDtctId, String pnu);
 
   Optional<UUID> getLearnUuid(String chnDtctId);
+
+  PolygonFeatureList getChangeDetectionPnuPolygonList(UUID uuid, String pnu);
+
+  PointFeatureList getChangeDetectionPnuPointList(UUID uuid, String pnu);
 }

src/main/java/com/kamco/cd/kamcoback/postgres/repository/changedetection/ChangeDetectionRepositoryImpl.java

@@ -18,7 +18,9 @@ import com.kamco.cd.kamcoback.changedetection.dto.ChangeDetectionDto.DetectSearc
 import com.kamco.cd.kamcoback.changedetection.dto.ChangeDetectionDto.MapScaleType;
 import com.kamco.cd.kamcoback.changedetection.dto.ChangeDetectionDto.MapSheetList;
 import com.kamco.cd.kamcoback.changedetection.dto.ChangeDetectionDto.PointFeatureList;
+import com.kamco.cd.kamcoback.changedetection.dto.ChangeDetectionDto.PointQueryData;
 import com.kamco.cd.kamcoback.changedetection.dto.ChangeDetectionDto.PolygonFeatureList;
+import com.kamco.cd.kamcoback.changedetection.dto.ChangeDetectionDto.PolygonQueryData;
 import com.kamco.cd.kamcoback.inference.dto.InferenceResultDto.Status;
 import com.kamco.cd.kamcoback.postgres.entity.MapSheetAnalDataInferenceGeomEntity;
 import com.kamco.cd.kamcoback.postgres.entity.QMapSheetAnalDataInferenceEntity;
@@ -31,6 +33,7 @@ import com.querydsl.core.types.dsl.CaseBuilder;
 import com.querydsl.core.types.dsl.Expressions;
 import com.querydsl.core.types.dsl.StringExpression;
 import com.querydsl.jpa.JPAExpressions;
+import com.querydsl.jpa.impl.JPAQuery;
 import com.querydsl.jpa.impl.JPAQueryFactory;
 import java.util.List;
 import java.util.Objects;
@@ -208,8 +211,9 @@ public class ChangeDetectionRepositoryImpl extends QuerydslRepositorySupport
         .where(
             l.status
                 .eq(Status.END.getId())
-                .and(JPAExpressions.selectOne().from(d).where(d.analUid.eq(a.id)).exists()))
-        .orderBy(l.id.asc())
+                .and(JPAExpressions.selectOne().from(d).where(d.analUid.eq(a.id)).exists()),
+            l.isDeleted.eq(false).or(l.isDeleted.isNull()))
+        .orderBy(l.id.desc())
         .fetch();
   }
 
@@ -341,7 +345,10 @@ public class ChangeDetectionRepositoryImpl extends QuerydslRepositorySupport
                 mapInkx5kEntity.mapidcdNo,
                 mapInkx5kEntity.mapidNm,
                 Expressions.stringTemplate(
-                    "concat({0}, ' ', {1})", mapInkx5kEntity.mapidNm, mapInkx5kEntity.mapidcdNo)))
+                    "concat({0}, ' ', {1})", mapInkx5kEntity.mapidNm, mapInkx5kEntity.mapidcdNo),
+                Expressions.stringTemplate(
+                        "ST_AsGeoJSON(ST_Transform({0}, 5186))", mapInkx5kEntity.geom)
+                    .as("bbox")))
         .from(mapSheetAnalInferenceEntity)
         .innerJoin(mapSheetAnalDataInferenceEntity)
         .on(mapSheetAnalInferenceEntity.id.eq(mapSheetAnalDataInferenceEntity.analUid))
@@ -361,7 +368,10 @@ public class ChangeDetectionRepositoryImpl extends QuerydslRepositorySupport
                 mapInkx50kEntity.mapidcdNo,
                 mapInkx50kEntity.mapidNm,
                 Expressions.stringTemplate(
-                    "concat({0}, ' ', {1})", mapInkx50kEntity.mapidNm, mapInkx50kEntity.mapidcdNo)))
+                    "concat({0}, ' ', {1})", mapInkx50kEntity.mapidNm, mapInkx50kEntity.mapidcdNo),
+                Expressions.stringTemplate(
+                        "ST_AsGeoJSON(ST_Transform({0}, 5186))", mapInkx50kEntity.geom)
+                    .as("bbox")))
         .from(mapSheetAnalInferenceEntity)
         .innerJoin(mapSheetAnalDataInferenceEntity)
         .on(mapSheetAnalInferenceEntity.id.eq(mapSheetAnalDataInferenceEntity.analUid))
@@ -369,7 +379,7 @@ public class ChangeDetectionRepositoryImpl extends QuerydslRepositorySupport
         .on(mapSheetAnalDataInferenceEntity.mapSheetNum.stringValue().eq(mapInkx5kEntity.mapidcdNo))
         .innerJoin(mapInkx5kEntity.mapInkx50k, mapInkx50kEntity)
         .where(mapSheetAnalInferenceEntity.uuid.eq(uuid))
-        .groupBy(mapInkx50kEntity.mapidcdNo, mapInkx50kEntity.mapidNm)
+        .groupBy(mapInkx50kEntity.mapidcdNo, mapInkx50kEntity.mapidNm, mapInkx50kEntity.geom)
         .orderBy(mapInkx50kEntity.mapidcdNo.asc())
         .fetch();
   }
@@ -385,16 +395,23 @@ public class ChangeDetectionRepositoryImpl extends QuerydslRepositorySupport
 
   @Override
   public PolygonFeatureList getPolygonListByCd(
-      String chnDtctId, String cdObjectId, List<String> cdObjectIds) {
+      String chnDtctId, String cdObjectId, List<String> cdObjectIds, String pnu) {
     BooleanBuilder builder = new BooleanBuilder();
     builder.and(mapSheetLearnEntity.uid.eq(chnDtctId));
+
+    // pnu가 들어온 경우
+    boolean hasPnu = pnu != null && !pnu.isBlank();
+
+    // pnu 가 없을 때
+    if (!hasPnu) {
       builder.and(
           mapSheetAnalDataInferenceGeomEntity
               .resultUid
-            .eq(chnDtctId)
+              .eq(cdObjectId)
               .or(mapSheetAnalDataInferenceGeomEntity.resultUid.in(cdObjectIds)));
+    }
 
-    List<ChangeDetectionDto.PolygonQueryData> list =
+    JPAQuery<PolygonQueryData> query =
         queryFactory
             .select(
                 Projections.constructor(
@@ -419,10 +436,19 @@ public class ChangeDetectionRepositoryImpl extends QuerydslRepositorySupport
             .innerJoin(mapSheetAnalInferenceEntity)
             .on(mapSheetAnalInferenceEntity.id.eq(mapSheetAnalDataInferenceEntity.analUid))
             .innerJoin(mapSheetLearnEntity)
-            .on(mapSheetLearnEntity.id.eq(mapSheetAnalInferenceEntity.learnId))
-            .where(builder)
-            .orderBy(mapSheetAnalDataInferenceGeomEntity.mapSheetNum.asc())
-            .fetch();
+            .on(mapSheetLearnEntity.id.eq(mapSheetAnalInferenceEntity.learnId));
+
+    // pnu 조건이면 tb_pnu join 추가
+    if (hasPnu) {
+      query
+          .innerJoin(pnuEntity)
+          .on(pnuEntity.geo.geoUid.eq(mapSheetAnalDataInferenceGeomEntity.geoUid));
+
+      builder.and(pnuEntity.pnu.eq(pnu));
+    }
+
+    List<ChangeDetectionDto.PolygonQueryData> list =
+        query.where(builder).orderBy(mapSheetAnalDataInferenceGeomEntity.mapSheetNum.asc()).fetch();
 
     ObjectMapper mapper = new ObjectMapper();
     List<ChangeDetectionDto.PolygonFeature> result =
@@ -464,16 +490,23 @@ public class ChangeDetectionRepositoryImpl extends QuerydslRepositorySupport
 
   @Override
   public PointFeatureList getPointListByCd(
-      String chnDtctId, String cdObjectId, List<String> cdObjectIds) {
+      String chnDtctId, String cdObjectId, List<String> cdObjectIds, String pnu) {
     BooleanBuilder builder = new BooleanBuilder();
     builder.and(mapSheetLearnEntity.uid.eq(chnDtctId));
+
+    // pnu가 들어온 경우
+    boolean hasPnu = pnu != null && !pnu.isBlank();
+
+    // pnu 가 없을 때
+    if (!hasPnu) {
       builder.and(
           mapSheetAnalDataInferenceGeomEntity
               .resultUid
-            .eq(chnDtctId)
+              .eq(cdObjectId)
               .or(mapSheetAnalDataInferenceGeomEntity.resultUid.in(cdObjectIds)));
+    }
 
-    List<ChangeDetectionDto.PointQueryData> list =
+    JPAQuery<PointQueryData> query =
         queryFactory
             .select(
                 Projections.constructor(
@@ -492,9 +525,19 @@ public class ChangeDetectionRepositoryImpl extends QuerydslRepositorySupport
             .innerJoin(mapSheetAnalInferenceEntity)
             .on(mapSheetAnalInferenceEntity.id.eq(mapSheetAnalDataInferenceEntity.analUid))
             .innerJoin(mapSheetLearnEntity)
-            .on(mapSheetLearnEntity.id.eq(mapSheetAnalInferenceEntity.learnId))
-            .where(builder)
-            .fetch();
+            .on(mapSheetLearnEntity.id.eq(mapSheetAnalInferenceEntity.learnId));
+
+    // pnu 조건이면 tb_pnu join 추가
+    if (hasPnu) {
+      query
+          .innerJoin(pnuEntity)
+          .on(pnuEntity.geo.geoUid.eq(mapSheetAnalDataInferenceGeomEntity.geoUid));
+
+      builder.and(pnuEntity.pnu.eq(pnu));
+    }
+
+    List<ChangeDetectionDto.PointQueryData> list =
+        query.where(builder).orderBy(mapSheetAnalDataInferenceGeomEntity.mapSheetNum.asc()).fetch();
 
     ObjectMapper mapper = new ObjectMapper();
     List<ChangeDetectionDto.PointFeature> result =
@@ -653,4 +696,120 @@ public class ChangeDetectionRepositoryImpl extends QuerydslRepositorySupport
             .where(mapSheetLearnEntity.uid.eq(chnDtctId))
             .fetchOne());
   }
+
+  @Override
+  public PolygonFeatureList getChangeDetectionPnuPolygonList(UUID uuid, String pnu) {
+    List<ChangeDetectionDto.PolygonQueryData> list =
+        queryFactory
+            .select(
+                Projections.constructor(
+                    ChangeDetectionDto.PolygonQueryData.class,
+                    Expressions.stringTemplate("{0}", "Feature"),
+                    Expressions.stringTemplate(
+                        "ST_AsGeoJSON({0})", mapSheetAnalDataInferenceGeomEntity.geom),
+                    mapSheetAnalDataInferenceGeomEntity.geoUid,
+                    mapSheetAnalDataInferenceGeomEntity.area,
+                    mapSheetAnalDataInferenceGeomEntity.compareYyyy,
+                    mapSheetAnalDataInferenceGeomEntity.classBeforeProb,
+                    mapSheetAnalDataInferenceGeomEntity.classBeforeCd.toUpperCase(),
+                    mapSheetAnalDataInferenceGeomEntity.targetYyyy,
+                    mapSheetAnalDataInferenceGeomEntity.classAfterProb,
+                    mapSheetAnalDataInferenceGeomEntity.classAfterCd.toUpperCase(),
+                    mapSheetAnalDataInferenceGeomEntity.cdProb,
+                    mapSheetAnalDataInferenceGeomEntity.uuid,
+                    mapSheetAnalDataInferenceGeomEntity.resultUid))
+            .from(mapSheetAnalDataInferenceGeomEntity)
+            .innerJoin(mapSheetAnalDataInferenceEntity)
+            .on(mapSheetAnalDataInferenceGeomEntity.dataUid.eq(mapSheetAnalDataInferenceEntity.id))
+            .innerJoin(mapSheetAnalInferenceEntity)
+            .on(mapSheetAnalInferenceEntity.id.eq(mapSheetAnalDataInferenceEntity.analUid))
+            .innerJoin(pnuEntity)
+            .on(mapSheetAnalDataInferenceGeomEntity.geoUid.eq(pnuEntity.geo.geoUid))
+            .where(mapSheetAnalInferenceEntity.uuid.eq(uuid), pnuEntity.pnu.eq(pnu))
+            .orderBy(mapSheetAnalDataInferenceGeomEntity.mapSheetNum.asc())
+            .fetch();
+
+    ObjectMapper mapper = new ObjectMapper();
+    List<ChangeDetectionDto.PolygonFeature> result =
+        list.stream()
+            .map(
+                data -> {
+                  String geoJson = data.getGeometry();
+                  JsonNode jsonNode;
+                  try {
+                    jsonNode = mapper.readTree(geoJson);
+                  } catch (JsonProcessingException e) {
+                    throw new RuntimeException(e);
+                  }
+
+                  ChangeDetectionDto.PolygonProperties properties =
+                      new ChangeDetectionDto.PolygonProperties(
+                          data.getGeoUid(),
+                          data.getArea(),
+                          data.getBeforeYear(),
+                          data.getBeforeConfidence(),
+                          data.getBeforeClass(),
+                          data.getAfterYear(),
+                          data.getAfterConfidence(),
+                          data.getAfterClass(),
+                          data.getCdProb(),
+                          data.getUuid(),
+                          data.getResultUid());
+
+                  return new ChangeDetectionDto.PolygonFeature(
+                      data.getType(), jsonNode, properties);
+                })
+            .collect(Collectors.toList());
+
+    ChangeDetectionDto.PolygonFeatureList polygonList = new ChangeDetectionDto.PolygonFeatureList();
+    polygonList.setType("FeatureCollection");
+    polygonList.setFeatures(result);
+    return polygonList;
+  }
+
+  @Override
+  public PointFeatureList getChangeDetectionPnuPointList(UUID uuid, String pnu) {
+    List<ChangeDetectionDto.PointQueryData> list =
+        queryFactory
+            .select(
+                Projections.constructor(
+                    ChangeDetectionDto.PointQueryData.class,
+                    Expressions.stringTemplate("{0}", "Feature"),
+                    Expressions.stringTemplate(
+                        "ST_AsGeoJSON({0})",
+                        mapSheetAnalDataInferenceGeomEntity.geomCenter), // point
+                    Projections.constructor(
+                        ChangeDetectionDto.PointProperties.class,
+                        mapSheetAnalDataInferenceGeomEntity.geoUid,
+                        mapSheetAnalDataInferenceGeomEntity.classAfterCd.toUpperCase())))
+            .from(mapSheetAnalDataInferenceGeomEntity)
+            .innerJoin(mapSheetAnalDataInferenceEntity)
+            .on(mapSheetAnalDataInferenceGeomEntity.dataUid.eq(mapSheetAnalDataInferenceEntity.id))
+            .innerJoin(mapSheetAnalInferenceEntity)
+            .on(mapSheetAnalInferenceEntity.id.eq(mapSheetAnalDataInferenceEntity.analUid))
+            .innerJoin(pnuEntity)
+            .on(mapSheetAnalDataInferenceGeomEntity.geoUid.eq(pnuEntity.geo.geoUid))
+            .where(mapSheetAnalInferenceEntity.uuid.eq(uuid), pnuEntity.pnu.eq(pnu))
+            .fetch();
+
+    ObjectMapper mapper = new ObjectMapper();
+    List<ChangeDetectionDto.PointFeature> result =
+        list.stream()
+            .map(
+                data -> {
+                  String geoJson = data.getGeometry();
+                  JsonNode jsonNode;
+                  try {
+                    jsonNode = mapper.readTree(geoJson);
+                  } catch (JsonProcessingException e) {
+                    throw new RuntimeException(e);
+                  }
+
+                  return new ChangeDetectionDto.PointFeature(
+                      data.getType(), jsonNode, data.getProperties());
+                })
+            .collect(Collectors.toList());
+
+    return new ChangeDetectionDto.PointFeatureList("FeatureCollection", result);
+  }
 }

src/main/java/com/kamco/cd/kamcoback/postgres/repository/gukyuin/GukYuinPnuCntUpdateJobRepository.java

@@ -0,0 +1,7 @@
+package com.kamco.cd.kamcoback.postgres.repository.gukyuin;
+
+import com.kamco.cd.kamcoback.postgres.entity.MapSheetLearnEntity;
+import org.springframework.data.jpa.repository.JpaRepository;
+
+public interface GukYuinPnuCntUpdateJobRepository
+    extends JpaRepository<MapSheetLearnEntity, Long>, GukYuinPnuCntUpdateJobRepositoryCustom {}