shp 테스트

Reviewed-on: #158

.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

@@ -19,6 +19,7 @@ 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"
   };
@@ -30,11 +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());
@@ -57,7 +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)
+      @Parameter(description = "5k/50k 구분(SCALE_5K/SCALE_50K))")
-          @RequestParam(defaultValue = "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)
+      @Parameter(description = "5k/50k 구분(SCALE_5K/SCALE_50K))")
-          @RequestParam(defaultValue = "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/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/common/enums/CrsType.java

@@ -11,7 +11,8 @@ import lombok.Getter;
 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_5186("5186::Korea 2000 중부 TM, 한국 SHP"),
+  EPSG_5179("5179::Korea 2000 중부 TM, 한국 SHP");
 
   private final String desc;
 

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

@@ -13,7 +13,9 @@ public enum LayerType implements EnumType {
   TILE("배경지도"),
   GEOJSON("객체데이터"),
   WMTS("타일레이어"),
-  WMS("지적도");
+  WMS("지적도"),
+  KAMCO_WMS("국유인WMS"),
+  KAMCO_WMTS("국유인WMTS");
 
   private final String desc;
 

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

@@ -5,7 +5,11 @@ import com.fasterxml.jackson.databind.ObjectMapper;
 import java.io.IOException;
 import java.nio.file.Files;
 import java.nio.file.Path;
-import java.util.*;
+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;
@@ -170,7 +174,9 @@ public class GeoJsonValidator {
       // properties가 있고 scene_id가 null이 아니면 텍스트로 읽음
       // 없으면 null 처리
       String sceneId =
-          (props != null && props.hasNonNull("scene_id")) ? props.get("scene_id").asText() : null;
+          (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()) {
@@ -209,17 +215,17 @@ public class GeoJsonValidator {
     // =========================================================
     log.info(
         """
-    ===== GeoJSON Validation =====
+        ===== GeoJSON Validation =====
-    file: {}
+        file: {}
-    features(total): {}
+        features(total): {}
-    requested(unique): {}
+        requested(unique): {}
-    found(unique scene_id): {}
+        found(unique scene_id): {}
-    scene_id null/blank: {}
+        scene_id null/blank: {}
-    duplicates(scene_id): {}
+        duplicates(scene_id): {}
-    missing(requested - found): {}
+        missing(requested - found): {}
-    extra(found - requested): {}
+        extra(found - requested): {}
-    ==============================
+        ==============================
-    """,
+        """,
         geojsonPath,
         featureCount, // 중복 포함한 전체 feature 수
         requested.size(), // 요청 도엽 유니크 수
@@ -230,12 +236,16 @@ public class GeoJsonValidator {
         extra.size()); // 요청하지 않았는데 들어온 도엽 수
 
     // 중복/누락/추가 항목은 전체를 다 찍으면 로그 폭발하므로 샘플만
-    if (!duplicates.isEmpty())
+    //    if (!duplicates.isEmpty())
-      log.warn("duplicates sample: {}", duplicates.stream().limit(20).toList());
+    //      log.warn("duplicates sample: {}", duplicates.stream().limit(20).toList());
 
-    if (!missing.isEmpty()) log.warn("missing sample: {}", missing.stream().limit(50).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());
+    if (!extra.isEmpty()) {
+      log.warn("extra sample: {}", extra.stream().limit(50).toList());
+    }
 
     // =========================================================
     // 6) 실패 조건 판정

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/config/InferenceProperties.java

@@ -16,5 +16,7 @@ public class InferenceProperties {
   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

@@ -71,6 +71,10 @@ 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()

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

@@ -16,12 +16,12 @@ public class RestTemplateConfig {
   @Bean
   @Primary
   public RestTemplate restTemplate(RestTemplateBuilder builder) {
-    return build(builder, 2000, 3000);
+    return build(builder, 20000, 60000);
   }
 
   @Bean("restTemplateLong")
   public RestTemplate restTemplateLong(RestTemplateBuilder builder) {
-    return build(builder, 2000, 60000);
+    return build(builder, 20000, 60000);
   }
 
   private RestTemplate build(RestTemplateBuilder builder, int connectTimeoutMs, int readTimeoutMs) {

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."),
+    SCOPE_PART_NOT_ALLOWED("부분 도엽 추론 결과는 연동 할 수 없습니다."),
-    HAS_RUNNING_INFERENCE("라벨링 진행 중 회차가 있습니다."),
+    HAS_RUNNING_INFERENCE("라벨링 진행중인 회차가 있습니다.\n진행중인 라벨링 작업을 종료하신 후 다시 연동해주세요."),
-    OTHER_GUKYUIN_IN_PROGRESS("국유in 연동 진행 중 회차가 있습니다.");
+    OTHER_GUKYUIN_IN_PROGRESS("국유in 연동이 진행중입니다. 선행 연동 작업이 종료된 후 진행할 수 있습니다.");
 
     private final String desc;
 
@@ -36,8 +36,9 @@ 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 +46,8 @@ 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/service/GukYuinApiService.java

@@ -69,7 +69,7 @@ public class GukYuinApiService {
   @Value("${file.nfs}")
   private String nfs;
 
-  @Value("${file.output-dir}")
+  @Value("${file.output-dir}") // 국유인 반영 파일 경로
   private String outputDir;
 
   @Value("${file.dataset-dir}")
@@ -237,9 +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;
   }
 
@@ -281,6 +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,
@@ -289,6 +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(
@@ -348,6 +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,
@@ -355,6 +361,7 @@ public class GukYuinApiService {
             info,
             netUtils.jsonHeaders(),
             ChngDetectContDto.ResultLabelDto.class);
+    log.info("##### API 호출 완료 : {}", result.toString());
 
     this.insertGukyuinAuditLog(
         EventType.MODIFIED.getId(),
@@ -408,10 +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(),
@@ -460,7 +469,11 @@ public class GukYuinApiService {
     }
 
     // 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.");
@@ -472,7 +485,11 @@ public class GukYuinApiService {
 
     // 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()));
@@ -554,10 +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(),
@@ -628,4 +647,8 @@ public class GukYuinApiService {
   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

@@ -1,10 +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 {}
+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;
@@ -27,6 +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;
@@ -35,6 +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;
@@ -53,6 +56,7 @@ 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;
@@ -174,7 +178,8 @@ 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);
   }
 
@@ -373,6 +378,9 @@ public class InferenceResultApiController {
     }
 
     Path zipPath = Path.of(path);
+    if (!Files.isRegularFile(zipPath)) {
+      return ResponseEntity.status(HttpStatus.NOT_FOUND).body("다운로드 받을 파일이 없습니다.");
+    }
 
     return rangeDownloadResponder.buildZipResponse(zipPath, uid + ".zip", request);
   }

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

@@ -1,59 +0,0 @@
-package com.kamco.cd.kamcoback.inference;
-
-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.UUID;
-import lombok.RequiredArgsConstructor;
-import lombok.extern.log4j.Log4j2;
-import org.springframework.web.bind.annotation.PathVariable;
-import org.springframework.web.bind.annotation.PostMapping;
-import org.springframework.web.bind.annotation.RequestMapping;
-import org.springframework.web.bind.annotation.RestController;
-
-@Tag(name = "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);
-  }
-}

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

@@ -458,6 +458,7 @@ public class InferenceDetailDto {
     private String bboxGeom;
     private String bboxCenterPoint;
     private UUID inferenceUuid;
+    private String status;
 
     public AnalResultInfo(
         String analTitle,
@@ -474,7 +475,8 @@ public class InferenceDetailDto {
         String subUid,
         Boolean applyYn,
         ZonedDateTime applyDttm,
-        UUID inferenceUuid) {
+        UUID inferenceUuid,
+        String status) {
       this.analTitle = analTitle;
       this.modelVer1 = modelVer1;
       this.modelVer2 = modelVer2;
@@ -489,6 +491,7 @@ 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 +541,10 @@ 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

@@ -18,6 +18,7 @@ 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;
 
@@ -86,6 +87,7 @@ public class InferenceResultDto {
     READY("대기"),
     IN_PROGRESS("진행중"),
     END("완료"),
+    END_FAIL("종료실패"),
     FORCED_END("강제종료");
     private final String desc;
 
@@ -240,6 +242,7 @@ public class InferenceResultDto {
   @Setter
   @NoArgsConstructor
   @AllArgsConstructor
+  @ToString
   public static class RegReq {
 
     @Schema(description = "제목", example = "2023-2024 변화탐지 테스트")
@@ -272,11 +275,10 @@ public class InferenceResultDto {
     private String mapSheetScope;
 
     @Schema(description = "탐지 데이터 옵션 - 추론제외(EXCL), 이전 년도 도엽 사용(PREV)", example = "EXCL")
-    @NotBlank
+    //    @EnumValid(
-    @EnumValid(
+    //        enumClass = DetectOption.class,
-        enumClass = DetectOption.class,
+    //        message = "탐지 데이터 옵션은 '추론제외', '이전 년도 도엽 사용' 만 사용 가능합니다.")
-        message = "탐지 데이터 옵션은 '추론제외', '이전 년도 도엽 사용' 만 사용 가능합니다.")
+    private DetectOption detectOption;
-    private String detectOption;
 
     @Schema(description = "5k 도협 번호 목록", example = "[33605,33606, 33610, 34802, 35603, 35611]")
     @NotNull
@@ -682,6 +684,7 @@ public class InferenceResultDto {
   @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")
+    @Schema(description = "추론 결과(inference_results_testing)를 기준으로 저장 Geom 데이터 건수", example = "120")
-    int inferenceCnt;
-
-    @Schema(description = "추론 결과(inference_results)를 기준으로 신규 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/InferenceManualService.java

@@ -1,24 +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) {
+  public void saveResultsTesting(List<Long> batchIds) {
-    List<InferenceResultsTestingDto.Basic> resultList =
+    // 배치 id로 추론 결과 testing 테이블에서 조회
-        inferenceResultCoreService.getInferenceResults(batchIds);
+    List<InferenceResultsTestingDto.Basic> resultInfoList =
+        inferenceResultCoreService.getInferenceResultGroupList(batchIds);
 
-    if (resultList.isEmpty()) {}
+    if (resultInfoList.isEmpty()) {
-
+      throw new CustomApiException("NOT_FOUND", HttpStatus.NOT_FOUND);
-    for (InferenceResultsTestingDto.Basic result : resultList) {
-      System.out.println(result);
     }
+
+    //    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);
+    //    }
+
   }
 }

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

@@ -56,7 +56,7 @@ import java.util.Set;
 import java.util.UUID;
 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;
@@ -68,7 +68,7 @@ import org.springframework.transaction.annotation.Transactional;
 
 /** 추론 관리 */
 @Service
-@Log4j2
+@Slf4j
 @RequiredArgsConstructor
 @Transactional(readOnly = true)
 public class InferenceResultService {
@@ -128,47 +128,40 @@ public class InferenceResultService {
    */
   @Transactional
   public UUID run(InferenceResultDto.RegReq req) {
-    if (req.getDetectOption().equals(DetectOption.EXCL.getId())) {
+    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
+   * 변화탐지 [옵션 추론제외 실행]
    *
    * @param req
    * @return
    */
   public UUID runExcl(InferenceResultDto.RegReq req) {
-    // TODO 쿼리로 한번에 할수 있게 수정해야하나..
     // 기준연도 실행가능 도엽 조회
     List<MngListDto> targetMngList =
-        mapSheetMngCoreService.getMapSheetMngHst(
+        mapSheetMngCoreService.getMapSheetMngHst(req.getTargetYyyy(), req.getMapSheetNum());
-            req.getTargetYyyy(), req.getMapSheetScope(), req.getMapSheetNum());
-
-    //    List<MngListDto> mngList =
-    //        mapSheetMngCoreService.findExecutableSheets(
-    //            req.getCompareYyyy(),
-    //            req.getTargetYyyy(),
-    //            req.getMapSheetScope(),
-    //            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(
+        mapSheetMngCoreService.getMapSheetMngHst(req.getCompareYyyy(), req.getMapSheetNum());
-            req.getCompareYyyy(), req.getMapSheetScope(), 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 =
@@ -210,14 +203,14 @@ public class InferenceResultService {
 
     log.info(
         """
-    ===== MapSheet Year Comparison =====
+        ===== MapSheet Year Comparison =====
-    target Total: {}
+        target Total: {}
-    compare Total: {}
+        compare Total: {}
-    Intersection: {}
+        Intersection: {}
-    target Only (Excluded): {}
+        target Only (Excluded): {}
-    compare Only: {}
+        compare Only: {}
-    ====================================
+        ====================================
-    """,
+        """,
         targetTotal,
         compareTotal,
         intersection,
@@ -268,28 +261,31 @@ public class InferenceResultService {
    */
   @Transactional
   public UUID runPrev(InferenceResultDto.RegReq req) {
-    // TODO 쿼리로 한번에 할수 있게 수정해야하나..
+    Integer targetYyyy = req.getTargetYyyy();
-    // 기준연도 실행가능 도엽 조회
+    Integer compareYyyy = req.getCompareYyyy();
-    List<MngListDto> targetMngList =
+    String mapSheetScope = req.getMapSheetScope();
-        mapSheetMngCoreService.getMapSheetMngHst(
-            req.getTargetYyyy(), req.getMapSheetScope(), req.getMapSheetNum());
 
+    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(
+        mapSheetMngCoreService.getMapSheetMngHst(compareYyyy, req.getMapSheetNum());
-            req.getCompareYyyy(), req.getMapSheetScope(), 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("targetMngList size = {}", targetMngList.size());
+    log.info("[runPrev] Difference in count = {}", targetMngList.size() - compareMngList.size());
-    log.info("compareMngList size = {}", compareMngList.size());
-    log.info("Difference in count = {}", targetMngList.size() - compareMngList.size());
 
     // 로그용 원본 카운트 (이전도엽 추가 전)
     int targetTotal = targetMngList.size();
@@ -310,14 +306,14 @@ public class InferenceResultService {
             .filter(num -> !compareSet0.contains(num))
             .toList();
 
-    log.info("targetOnlyMapSheetNums in count = {}", targetOnlyMapSheetNums.size());
+    log.info("[runPrev] targetOnlyMapSheetNums in count = {}", targetOnlyMapSheetNums.size());
 
     // 이전연도 초회 추가
     compareMngList.addAll(
         mapSheetMngCoreService.findFallbackCompareYearByMapSheets(
-            req.getCompareYyyy(), targetOnlyMapSheetNums));
+            compareYyyy, targetOnlyMapSheetNums));
 
-    log.info("fallback compare size= {}", compareMngList.size());
+    log.info("[runPrev] fallback compare size= {}", compareMngList.size());
 
     // 이전연도 추가 후 compare 총 개수
     int compareTotalAfterFallback = compareMngList.size();
@@ -361,15 +357,15 @@ public class InferenceResultService {
 
     log.info(
         """
-    ===== MapSheet Year Comparison =====
+        ===== MapSheet Year Comparison =====
-    target Total: {}
+        target Total: {}
-    compare Total(before fallback): {}
+        compare Total(before fallback): {}
-    compare Total(after fallback): {}
+        compare Total(after fallback): {}
-    Intersection: {}
+        Intersection: {}
-    target Only (Excluded): {}
+        target Only (Excluded): {}
-    compare Only: {}
+        compare Only: {}
-    ====================================
+        ====================================
-    """,
+        """,
         targetTotal,
         compareTotalBeforeFallback,
         compareTotalAfterFallback,
@@ -384,18 +380,12 @@ public class InferenceResultService {
     // compare 기준 geojson 생성
     Scene compareScene =
         getSceneInference(
-            compareMngList,
+            compareMngList, compareYyyy.toString(), mapSheetScope, req.getDetectOption());
-            req.getCompareYyyy().toString(),
-            req.getMapSheetScope(),
-            req.getDetectOption());
 
     // target 기준 geojson 생성
     Scene targetScene =
         getSceneInference(
-            req.getTargetYyyy().toString(),
+            targetYyyy.toString(), mapSheetNums, mapSheetScope, req.getDetectOption());
-            mapSheetNums,
-            req.getMapSheetScope(),
-            req.getDetectOption());
 
     log.info("비교년도 geojson 파일 validation ===== {}", compareScene.getFilePath());
     GeoJsonValidator.validateWithRequested(compareScene.getFilePath(), mapSheetNums);
@@ -671,7 +661,7 @@ public class InferenceResultService {
    * @return
    */
   private Scene getSceneInference(
-      String yyyy, List<String> mapSheetNums, String mapSheetScope, String detectOption) {
+      String yyyy, List<String> mapSheetNums, String mapSheetScope, DetectOption detectOption) {
 
     // geojson 생성시 필요한 영상파일 정보 조회
     List<ImageFeature> features =
@@ -697,7 +687,7 @@ public class InferenceResultService {
    * @return
    */
   private Scene getSceneInference(
-      List<MngListDto> yearDtos, String yyyy, String mapSheetScope, String detectOption) {
+      List<MngListDto> yearDtos, String yyyy, String mapSheetScope, DetectOption detectOption) {
 
     List<ImageFeature> features =
         mapSheetMngCoreService.loadSceneInferenceByFallbackYears(yearDtos);
@@ -982,7 +972,10 @@ public class InferenceResultService {
    * @return Scene
    */
   private Scene writeSceneGeoJson(
-      String yyyy, String mapSheetScope, String detectOption, List<ImageFeature> sceneInference) {
+      String yyyy,
+      String mapSheetScope,
+      DetectOption detectOption,
+      List<ImageFeature> sceneInference) {
 
     boolean isAll = MapSheetScope.ALL.getId().equals(mapSheetScope);
     String optionSuffix = buildOptionSuffix(detectOption);
@@ -1031,9 +1024,13 @@ public class InferenceResultService {
    * @param detectOption
    * @return
    */
-  private String buildOptionSuffix(String detectOption) {
+  private String buildOptionSuffix(DetectOption detectOption) {
-    if (DetectOption.EXCL.getId().equals(detectOption)) return "_EXCL";
+    if (DetectOption.EXCL == detectOption) {
-    if (DetectOption.PREV.getId().equals(detectOption)) return "_PREV";
+      return "_EXCL";
+    }
+    if (DetectOption.PREV == detectOption) {
+      return "_PREV";
+    }
     return "";
   }
 }

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

@@ -37,10 +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) {
+  public InferenceResultShpDto.InferenceCntDto saveInferenceResultData(UUID uuid) {
-    return coreService.buildInferenceData(id);
+    Long learnId = inferenceResultCoreService.getInferenceLearnIdByUuid(uuid);
+    return coreService.buildInferenceData(learnId);
   }
 
   /**
@@ -55,13 +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());
+    shpPipelineService.runPipeline(jarPath, datasetDir, batchIds, dto.getUid());
   }
 }

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/members/AuthController.java

@@ -169,6 +169,7 @@ 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/model/dto/ModelMngDto.java

@@ -67,6 +67,7 @@ public class ModelMngDto {
     private String clsModelVersion;
     private Double priority;
     private String memo;
+    private UUID uuid;
 
     public Basic(
         Long modelUid,
@@ -89,7 +90,8 @@ 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 +113,7 @@ public class ModelMngDto {
       this.clsModelVersion = clsModelVersion;
       this.priority = priority;
       this.memo = memo;
+      this.uuid = uuid;
     }
   }
 

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) {
+      String chnDtctId, String cdObjectId, List<String> cdObjectIds, String pnu) {
-    return changeDetectionRepository.getPolygonListByCd(chnDtctId, cdObjectId, cdObjectIds);
+    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) {
+      String chnDtctId, String cdObjectId, List<String> cdObjectIds, String pnu) {
-    return changeDetectionRepository.getPointListByCd(chnDtctId, cdObjectId, cdObjectIds);
+    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

@@ -81,4 +81,8 @@ public class GukYuinCoreService {
   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 {
 
@@ -119,7 +120,7 @@ public class InferenceResultCoreService {
     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);
@@ -271,7 +272,7 @@ 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);
     }
@@ -453,12 +454,18 @@ 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;
   }
 
@@ -469,7 +476,10 @@ public class InferenceResultCoreService {
    * @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;
   }
 
   /**
@@ -478,7 +488,11 @@ public class InferenceResultCoreService {
    * @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;
   }
 
   /**
@@ -488,9 +502,13 @@ 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);
   }
 
@@ -575,11 +593,37 @@ 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);
+  }
 }

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

@@ -345,16 +345,15 @@ 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) {
+  public List<MngListCompareDto> getByHstMapSheetCompareList(int mngYyyy, List<String> mapIds) {
-    return mapSheetMngYearRepository.findByHstMapSheetCompareList(mngYyyy, mapId);
+    return mapSheetMngYearRepository.findByHstMapSheetCompareList(mngYyyy, mapIds);
   }
 
-  public List<MngListDto> getMapSheetMngHst(
+  public List<MngListDto> getMapSheetMngHst(Integer year, List<String> mapSheetNums50k) {
-      Integer year, String mapSheetScope, List<String> mapSheetNum) {
+    return mapSheetMngRepository.getMapSheetMngHst(year, mapSheetNums50k);
-    return mapSheetMngRepository.getMapSheetMngHst(year, mapSheetScope, mapSheetNum);
   }
 
   /**

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

@@ -109,4 +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/MapSheetLearnEntity.java

@@ -202,6 +202,33 @@ 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;
+
   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/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

@@ -1,19 +1,50 @@
 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);
 
   /**
@@ -23,4 +54,12 @@ public interface InferenceResultRepositoryCustom {
    * @return 추론 정보
    */
   Optional<MapSheetLearnEntity> getInferenceUid(UUID uuid);
+
+  /**
+   * learn id 로 analInference 값 조회
+   *
+   * @param id 추론 id
+   * @return
+   */
+  Optional<MapSheetAnalInferenceEntity> getAnalInferenceDataByLearnId(Long id);
 }

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;
@@ -80,7 +82,7 @@ public class InferenceResultRepositoryImpl implements InferenceResultRepositoryC
    * @return 반영된 행 수
    */
   @Override
-  public void upsertGroupsFromInferenceResults(Long analId) {
+  public int upsertGroupsFromInferenceResults(Long analId) {
 
     String sql =
         """
@@ -124,7 +126,7 @@ 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 +138,7 @@ public class InferenceResultRepositoryImpl implements InferenceResultRepositoryC
    * @return 반영된 행 수
    */
   @Override
-  public void upsertGeomsFromInferenceResults(Long analUid) {
+  public int upsertGeomsFromInferenceResults(Long analUid) {
 
     String sql =
         """
@@ -214,6 +216,9 @@ 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 +234,11 @@ 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 +311,7 @@ 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 +336,14 @@ 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());
+  }
 }

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

@@ -1,10 +1,17 @@
 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);
 
   /**
@@ -14,4 +21,12 @@ public interface InferenceResultsTestingRepositoryCustom {
    * @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
+            inferenceResultsTestingEntity.batchId.in(batchIds),
-                .batchId
+            inferenceResultsTestingEntity.afterC.isNotNull(),
-                .in(batchIds)
+            inferenceResultsTestingEntity.afterP.isNotNull(),
-                .and(inferenceResultsTestingEntity.afterC.isNotNull())
+            inferenceResultsTestingEntity.beforeC.isNotNull(),
-                .and(inferenceResultsTestingEntity.afterP.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

@@ -6,12 +6,42 @@ 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);
 
   /**

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

@@ -315,7 +315,8 @@ 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))
@@ -518,7 +519,7 @@ 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
@@ -528,19 +529,21 @@ public class MapSheetLearnRepositoryImpl implements MapSheetLearnRepositoryCusto
     QMapSheetLearnEntity learn2 = new QMapSheetLearnEntity("learn2");
     QMapSheetLearnEntity learnQ = QMapSheetLearnEntity.mapSheetLearnEntity;
 
-    // 실행중인 추론 있는지 확인
+    // 현재 국유인 연동하려는 추론의 비교년도,기준년도와 같은 회차 중, 할당되거나 진행중인 학습데이터 uuid 조회
-    boolean hasRunningInference =
+    // ex. 2022-2023년도 9회차 학습데이터 제작 진행중 -> 10회차 연동하려고 할 시, 먼저 9회차를 종료해야 함
+    UUID runningInferenceUuid =
         queryFactory
-                .selectOne()
+            .select(inf.uuid)
-                .from(inf)
+            .from(inf)
-                .join(learn2)
+            .join(learn2)
-                .on(inf.learnId.eq(learn2.id))
+            .on(inf.learnId.eq(learn2.id))
-                .where(
+            .where(
-                    learn2.compareYyyy.eq(learn.getCompareYyyy()),
+                learn2.compareYyyy.eq(learn.getCompareYyyy()),
-                    learn2.targetYyyy.eq(learn.getTargetYyyy()),
+                learn2.targetYyyy.eq(learn.getTargetYyyy()),
-                    inf.analState.in("ASSIGNED", "ING"))
+                inf.analState.in("ASSIGNED", "ING"))
-                .fetchFirst()
+            .fetchFirst();
-            != null;
+
+    boolean hasRunningInference = runningInferenceUuid != null;
 
     // 국유인 작업 진행중 있는지 확인
     boolean hasOtherUnfinishedGukYuin =
@@ -555,6 +558,7 @@ 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;
@@ -391,16 +394,23 @@ 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));
-    builder.and(
-        mapSheetAnalDataInferenceGeomEntity
-            .resultUid
-            .eq(chnDtctId)
-            .or(mapSheetAnalDataInferenceGeomEntity.resultUid.in(cdObjectIds)));
 
-    List<ChangeDetectionDto.PolygonQueryData> list =
+    // pnu가 들어온 경우
+    boolean hasPnu = pnu != null && !pnu.isBlank();
+
+    // pnu 가 없을 때
+    if (!hasPnu) {
+      builder.and(
+          mapSheetAnalDataInferenceGeomEntity
+              .resultUid
+              .eq(cdObjectId)
+              .or(mapSheetAnalDataInferenceGeomEntity.resultUid.in(cdObjectIds)));
+    }
+
+    JPAQuery<PolygonQueryData> query =
         queryFactory
             .select(
                 Projections.constructor(
@@ -425,10 +435,19 @@ public class ChangeDetectionRepositoryImpl extends QuerydslRepositorySupport
             .innerJoin(mapSheetAnalInferenceEntity)
             .on(mapSheetAnalInferenceEntity.id.eq(mapSheetAnalDataInferenceEntity.analUid))
             .innerJoin(mapSheetLearnEntity)
-            .on(mapSheetLearnEntity.id.eq(mapSheetAnalInferenceEntity.learnId))
+            .on(mapSheetLearnEntity.id.eq(mapSheetAnalInferenceEntity.learnId));
-            .where(builder)
+
-            .orderBy(mapSheetAnalDataInferenceGeomEntity.mapSheetNum.asc())
+    // pnu 조건이면 tb_pnu join 추가
-            .fetch();
+    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 =
@@ -470,16 +489,23 @@ 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));
-    builder.and(
-        mapSheetAnalDataInferenceGeomEntity
-            .resultUid
-            .eq(chnDtctId)
-            .or(mapSheetAnalDataInferenceGeomEntity.resultUid.in(cdObjectIds)));
 
-    List<ChangeDetectionDto.PointQueryData> list =
+    // pnu가 들어온 경우
+    boolean hasPnu = pnu != null && !pnu.isBlank();
+
+    // pnu 가 없을 때
+    if (!hasPnu) {
+      builder.and(
+          mapSheetAnalDataInferenceGeomEntity
+              .resultUid
+              .eq(cdObjectId)
+              .or(mapSheetAnalDataInferenceGeomEntity.resultUid.in(cdObjectIds)));
+    }
+
+    JPAQuery<PointQueryData> query =
         queryFactory
             .select(
                 Projections.constructor(
@@ -498,9 +524,19 @@ public class ChangeDetectionRepositoryImpl extends QuerydslRepositorySupport
             .innerJoin(mapSheetAnalInferenceEntity)
             .on(mapSheetAnalInferenceEntity.id.eq(mapSheetAnalDataInferenceEntity.analUid))
             .innerJoin(mapSheetLearnEntity)
-            .on(mapSheetLearnEntity.id.eq(mapSheetAnalInferenceEntity.learnId))
+            .on(mapSheetLearnEntity.id.eq(mapSheetAnalInferenceEntity.learnId));
-            .where(builder)
+
-            .fetch();
+    // 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 =
@@ -659,4 +695,120 @@ 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 {}

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

@@ -0,0 +1,8 @@
+package com.kamco.cd.kamcoback.postgres.repository.gukyuin;
+
+public interface GukYuinPnuCntUpdateJobRepositoryCustom {
+
+  void updateGukYuinContListPnuUpdateCnt();
+
+  void updateGukYuinApplyStatus(String uid, String status);
+}

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

@@ -0,0 +1,48 @@
+package com.kamco.cd.kamcoback.postgres.repository.gukyuin;
+
+import static com.kamco.cd.kamcoback.postgres.entity.QMapSheetLearnEntity.mapSheetLearnEntity;
+
+import com.querydsl.jpa.impl.JPAQueryFactory;
+import jakarta.persistence.EntityManager;
+import jakarta.persistence.PersistenceContext;
+import java.time.ZonedDateTime;
+import lombok.RequiredArgsConstructor;
+import org.springframework.jdbc.core.JdbcTemplate;
+import org.springframework.stereotype.Repository;
+
+@Repository
+@RequiredArgsConstructor
+public class GukYuinPnuCntUpdateJobRepositoryImpl
+    implements GukYuinPnuCntUpdateJobRepositoryCustom {
+
+  private final JPAQueryFactory queryFactory;
+  private final JdbcTemplate jdbcTemplate;
+  @PersistenceContext private EntityManager em;
+
+  @Override
+  public void updateGukYuinContListPnuUpdateCnt() {
+    String sql =
+        """
+            update tb_map_sheet_anal_data_inference_geom p
+             set pnu = c_count.actual_count
+             from (
+              select geo_uid, count(*) actual_count
+              from tb_pnu
+              group by geo_uid
+             ) c_count
+             where p.geo_uid = c_count.geo_uid and p.pnu != c_count.actual_count;
+        """;
+
+    jdbcTemplate.update(sql);
+  }
+
+  @Override
+  public void updateGukYuinApplyStatus(String uid, String status) {
+    queryFactory
+        .update(mapSheetLearnEntity)
+        .set(mapSheetLearnEntity.applyStatus, status)
+        .set(mapSheetLearnEntity.applyStatusDttm, ZonedDateTime.now())
+        .where(mapSheetLearnEntity.uid.eq(uid))
+        .execute();
+  }
+}

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

@@ -47,4 +47,6 @@ public interface GukYuinRepositoryCustom {
   void updateMapSheetInferenceLabelEndStatus(Long learnId);
 
   List<String> findStbltObjectIds(String uid, String mapSheetNum);
+
+  Integer updateStbltRandomData(String uid, int updateCnt);
 }

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

@@ -7,6 +7,7 @@ import static com.kamco.cd.kamcoback.postgres.entity.QMapSheetAnalInferenceEntit
 import static com.kamco.cd.kamcoback.postgres.entity.QMapSheetLearnEntity.mapSheetLearnEntity;
 import static com.kamco.cd.kamcoback.postgres.entity.QPnuEntity.pnuEntity;
 
+import com.kamco.cd.kamcoback.common.enums.ImageryFitStatus;
 import com.kamco.cd.kamcoback.gukyuin.dto.ChngDetectMastDto.Basic;
 import com.kamco.cd.kamcoback.gukyuin.dto.ChngDetectMastDto.LabelSendDto;
 import com.kamco.cd.kamcoback.gukyuin.dto.ChngDetectMastDto.LearnKeyDto;
@@ -336,6 +337,44 @@ public class GukYuinRepositoryImpl implements GukYuinRepositoryCustom {
         .fetch();
   }
 
+  /**
+   * mapSheetAnalDataInferenceGeomEntity 데이터 에 실태조사 값 들어온 것으로 간주하고 update 랜덤으로 하기
+   *
+   * @param uid
+   * @param updateCnt
+   * @return
+   */
+  @Override
+  public Integer updateStbltRandomData(String uid, int updateCnt) {
+    List<Long> geoUids =
+        queryFactory
+            .select(mapSheetAnalDataInferenceGeomEntity.geoUid)
+            .from(mapSheetLearnEntity)
+            .innerJoin(mapSheetAnalInferenceEntity)
+            .on(mapSheetLearnEntity.id.eq(mapSheetAnalInferenceEntity.learnId))
+            .innerJoin(mapSheetAnalDataInferenceEntity)
+            .on(mapSheetAnalInferenceEntity.id.eq(mapSheetAnalDataInferenceEntity.analUid))
+            .innerJoin(mapSheetAnalDataInferenceGeomEntity)
+            .on(
+                mapSheetAnalDataInferenceEntity.id.eq(mapSheetAnalDataInferenceGeomEntity.dataUid),
+                mapSheetAnalDataInferenceGeomEntity.fitState.isNull())
+            .where(mapSheetLearnEntity.uid.eq(uid))
+            .orderBy(mapSheetAnalDataInferenceGeomEntity.geoUid.asc())
+            .limit(updateCnt)
+            .fetch();
+
+    for (Long geoUid : geoUids) {
+      queryFactory
+          .update(mapSheetAnalDataInferenceGeomEntity)
+          .set(mapSheetAnalDataInferenceGeomEntity.pnu, 1L)
+          .set(mapSheetAnalDataInferenceGeomEntity.fitState, ImageryFitStatus.UNFIT.getId())
+          .set(mapSheetAnalDataInferenceGeomEntity.fitStateDttm, ZonedDateTime.now())
+          .where(mapSheetAnalDataInferenceGeomEntity.geoUid.eq(geoUid))
+          .execute();
+    }
+    return updateCnt;
+  }
+
   @Override
   @Transactional
   public void updateGukYuinApplyStateComplete(Long id, GukYuinStatus status) {

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

@@ -99,8 +99,8 @@ public class GukYuinStbltJobRepositoryImpl implements GukYuinStbltJobRepositoryC
         .set(
             mapSheetAnalDataInferenceGeomEntity.fitState,
             stbResult.getStbltYn().equals("Y")
-                ? ImageryFitStatus.UNFIT.getId()
+                ? ImageryFitStatus.FIT.getId()
-                : ImageryFitStatus.FIT.getId()) // 적합여부가 Y 이면 부적합인 것, N 이면 적합한 것이라고 함
+                : ImageryFitStatus.UNFIT.getId()) // 적합여부가 N 이면 부적합인 것, Y 이면 적합한 것이라고 함
         .set(mapSheetAnalDataInferenceGeomEntity.fitStateDttm, ZonedDateTime.now())
         .set(mapSheetAnalDataInferenceGeomEntity.fitStateCmmnt, stbResult.getIncyCmnt())
         .where(mapSheetAnalDataInferenceGeomEntity.resultUid.eq(resultUid))

src/main/java/com/kamco/cd/kamcoback/postgres/repository/label/LabelAllocateRepositoryImpl.java

@@ -388,12 +388,8 @@ public class LabelAllocateRepositoryImpl implements LabelAllocateRepositoryCusto
                   mapSheetAnalDataInferenceGeomEntity.compareYyyy.eq(analEntity.getCompareYyyy()),
                   mapSheetAnalDataInferenceGeomEntity.targetYyyy.eq(analEntity.getTargetYyyy()),
                   mapSheetAnalDataInferenceGeomEntity.stage.eq(analEntity.getStage()),
-                  //                  mapSheetAnalDataInferenceGeomEntity.pnu.isNotNull()
                   mapSheetAnalDataInferenceGeomEntity.pnu.gt(0L),
-                  mapSheetAnalDataInferenceGeomEntity.fitState.eq(
+                  mapSheetAnalDataInferenceGeomEntity.fitState.eq(ImageryFitStatus.UNFIT.getId()))
-                      ImageryFitStatus.UNFIT.getId()) // TODO:
-                  // 추후 라벨링 대상 조건 수정하기
-                  )
               .fetchOne();
     }
 
@@ -493,6 +489,23 @@ public class LabelAllocateRepositoryImpl implements LabelAllocateRepositoryCusto
       inspectionStatus = inspectionRemaining > 0 ? "진행중" : "완료";
     }
 
+    ZoneId zoneId = ZoneId.of("Asia/Seoul");
+    LocalDate targetDate = LocalDate.now(zoneId);
+
+    ZonedDateTime end = targetDate.plusDays(1).atStartOfDay(zoneId);
+    Long downloadPolygonCnt =
+        queryFactory
+            .select(labelingAssignmentEntity.inferenceGeomUid.count())
+            .from(labelingAssignmentEntity)
+            .innerJoin(mapSheetAnalInferenceEntity)
+            .on(
+                labelingAssignmentEntity.analUid.eq(mapSheetAnalInferenceEntity.id),
+                mapSheetAnalInferenceEntity.id.eq(analUid))
+            .where(
+                labelingAssignmentEntity.inspectState.eq(InspectState.COMPLETE.getId()),
+                labelingAssignmentEntity.inspectStatDttm.lt(end))
+            .fetchOne();
+
     return WorkProgressInfo.builder()
         // 라벨링 (pass_yn = false인 부적합 데이터 기준)
         .labelingProgressRate(labelingRate)
@@ -516,6 +529,7 @@ public class LabelAllocateRepositoryImpl implements LabelAllocateRepositoryCusto
         .completedCount(labelCompleted)
         .remainingLabelCount(labelingRemaining)
         .remainingInspectCount(inspectionRemaining)
+        .downloadPolygonCnt(downloadPolygonCnt)
         .build();
   }
 
@@ -659,6 +673,23 @@ public class LabelAllocateRepositoryImpl implements LabelAllocateRepositoryCusto
       inspectionStatus = inspectionRemaining > 0 ? "진행중" : "완료";
     }
 
+    ZoneId zoneId = ZoneId.of("Asia/Seoul");
+    LocalDate targetDate = LocalDate.now(zoneId);
+
+    ZonedDateTime end = targetDate.plusDays(1).atStartOfDay(zoneId);
+    Long downloadPolygonCnt =
+        queryFactory
+            .select(labelingAssignmentEntity.inferenceGeomUid.count())
+            .from(labelingAssignmentEntity)
+            .innerJoin(mapSheetAnalInferenceEntity)
+            .on(
+                labelingAssignmentEntity.analUid.eq(mapSheetAnalInferenceEntity.id),
+                mapSheetAnalInferenceEntity.uuid.eq(targetUuid))
+            .where(
+                labelingAssignmentEntity.inspectState.eq(InspectState.COMPLETE.getId()),
+                labelingAssignmentEntity.inspectStatDttm.lt(end))
+            .fetchOne();
+
     return WorkProgressInfo.builder()
         .labelingProgressRate(labelingRate)
         .labelingStatus(labelingStatus)
@@ -679,6 +710,7 @@ public class LabelAllocateRepositoryImpl implements LabelAllocateRepositoryCusto
         .completedCount(labelCompleted)
         .remainingLabelCount(labelingRemaining)
         .remainingInspectCount(inspectionRemaining)
+        .downloadPolygonCnt(downloadPolygonCnt)
         .build();
   }
 

src/main/java/com/kamco/cd/kamcoback/postgres/repository/label/LabelWorkRepositoryImpl.java

@@ -4,6 +4,7 @@ import static com.kamco.cd.kamcoback.postgres.entity.QMapSheetLearnEntity.mapShe
 
 import com.kamco.cd.kamcoback.common.enums.ImageryFitStatus;
 import com.kamco.cd.kamcoback.label.dto.LabelAllocateDto.InspectState;
+import com.kamco.cd.kamcoback.label.dto.LabelAllocateDto.LabelMngState;
 import com.kamco.cd.kamcoback.label.dto.LabelAllocateDto.LabelState;
 import com.kamco.cd.kamcoback.label.dto.LabelWorkDto;
 import com.kamco.cd.kamcoback.label.dto.LabelWorkDto.LabelWorkMng;
@@ -166,6 +167,19 @@ public class LabelWorkRepositoryImpl implements LabelWorkRepositoryCustom {
             .from(labelingAssignmentEntity)
             .where(labelingAssignmentEntity.analUid.eq(mapSheetAnalInferenceEntity.id));
 
+    /** 순서 ING 진행중 ASSIGNED 작업할당 PENDING 작업대기 FINISH 종료 */
+    NumberExpression<Integer> stateOrder =
+        new CaseBuilder()
+            .when(mapSheetAnalInferenceEntity.analState.eq(LabelMngState.ING.getId()))
+            .then(0)
+            .when(mapSheetAnalInferenceEntity.analState.eq(LabelMngState.ASSIGNED.getId()))
+            .then(1)
+            .when(mapSheetAnalInferenceEntity.analState.eq(LabelMngState.PENDING.getId()))
+            .then(2)
+            .when(mapSheetAnalInferenceEntity.analState.eq(LabelMngState.FINISH.getId()))
+            .then(3)
+            .otherwise(99);
+
     List<LabelWorkMng> foundContent =
         queryFactory
             .select(
@@ -251,6 +265,7 @@ public class LabelWorkRepositoryImpl implements LabelWorkRepositoryCustom {
                 mapSheetLearnEntity.uid,
                 mapSheetLearnEntity.uuid)
             .orderBy(
+                stateOrder.asc(),
                 mapSheetAnalInferenceEntity.targetYyyy.desc(),
                 mapSheetAnalInferenceEntity.compareYyyy.desc(),
                 mapSheetAnalInferenceEntity.stage.desc())

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

@@ -141,12 +141,13 @@ public interface MapSheetMngRepositoryCustom {
   void insertMapSheetMngTile(@Valid AddReq addReq);
 
   /**
-   * 연도 조건으로 도엽번호 조회
+   * 연도별 도엽 목록 조회
    *
-   * @param year 연도
+   * @param year 관리연도
-   * @return 추론 가능한 도엽 정보
+   * @param mapSheetNums50k 50k 도엽번호 리스트 (null 또는 empty인 경우 전체 조회)
+   * @return 도엽 목록
    */
-  List<MngListDto> getMapSheetMngHst(Integer year, String mapSheetScope, List<String> mapSheetNum);
+  List<MngListDto> getMapSheetMngHst(Integer year, List<String> mapSheetNums50k);
 
   /**
    * 비교연도 사용 가능한 이전도엽을 조회한다.

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

@@ -1,5 +1,6 @@
 package com.kamco.cd.kamcoback.postgres.repository.mapsheet;
 
+import static com.kamco.cd.kamcoback.postgres.entity.QMapInkx50kEntity.mapInkx50kEntity;
 import static com.kamco.cd.kamcoback.postgres.entity.QMapInkx5kEntity.mapInkx5kEntity;
 import static com.kamco.cd.kamcoback.postgres.entity.QMapSheetMngEntity.mapSheetMngEntity;
 import static com.kamco.cd.kamcoback.postgres.entity.QMapSheetMngFileEntity.mapSheetMngFileEntity;
@@ -10,12 +11,12 @@ import static com.querydsl.core.types.dsl.Expressions.nullExpression;
 
 import com.kamco.cd.kamcoback.common.enums.CommonUseStatus;
 import com.kamco.cd.kamcoback.common.geometry.GeoJsonFileWriter.ImageFeature;
-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.AddReq;
 import com.kamco.cd.kamcoback.mapsheet.dto.MapSheetMngDto.MngListDto;
 import com.kamco.cd.kamcoback.mapsheet.dto.MapSheetMngDto.YearSearchReq;
 import com.kamco.cd.kamcoback.postgres.entity.MapSheetMngHstEntity;
+import com.kamco.cd.kamcoback.postgres.entity.QMapInkx50kEntity;
 import com.kamco.cd.kamcoback.postgres.entity.QMapInkx5kEntity;
 import com.kamco.cd.kamcoback.postgres.entity.QMapSheetMngFileEntity;
 import com.kamco.cd.kamcoback.postgres.entity.QMapSheetMngHstEntity;
@@ -27,7 +28,6 @@ import com.querydsl.core.types.dsl.BooleanExpression;
 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 jakarta.persistence.EntityManager;
@@ -50,7 +50,6 @@ public class MapSheetMngRepositoryImpl extends QuerydslRepositorySupport
     implements MapSheetMngRepositoryCustom {
 
   private final JPAQueryFactory queryFactory;
-  private final StringExpression NULL_STRING = Expressions.stringTemplate("cast(null as text)");
 
   @PersistenceContext private EntityManager em;
 
@@ -983,7 +982,8 @@ public class MapSheetMngRepositoryImpl extends QuerydslRepositorySupport
             .or(mapSheetMngHstEntity.syncCheckState.eq("DONE")));
 
     // file_ext = 'tif'
-    whereBuilder.and(mapSheetMngFileEntity.fileExt.eq("tif"));
+    whereBuilder.and(
+        mapSheetMngFileEntity.fileExt.eq("tif").and(mapSheetMngFileEntity.fileDel.isFalse()));
 
     // mng_yyyy = '2023'
     if (yyyy != null && !yyyy.isEmpty()) {
@@ -1083,11 +1083,27 @@ public class MapSheetMngRepositoryImpl extends QuerydslRepositorySupport
                 mapSheetMngHstEntity.mapSheetNum));
   }
 
+  /**
+   * 영상데이터관리 > 연도별 도엽 목록 조회
+   *
+   * @param year 관리연도
+   * @param mapSheetNums50k 50k 도엽번호 리스트 (null 또는 empty인 경우 전체 조회)
+   * @return 도엽 목록
+   */
   @Override
-  public List<MngListDto> getMapSheetMngHst(
+  public List<MngListDto> getMapSheetMngHst(Integer year, List<String> mapSheetNums50k) {
-      Integer year, String mapSheetScope, List<String> mapSheetNum) {
+    /*
+    검색조건:
+    - ✅ 데이터 처리 완료(data_state='DONE')
+    - ✅ 동기화 완료(sync_state='DONE' OR sync_check_state='DONE')
+    - ✅ 추론 사용(use_inference='USE')
+    - ✅ 지정 연도(mng_yyyy=year)
+    - ✅ 완료된 TIF 파일 존재
+    - ✅ 사용 중인 도엽만(mapInkx5k.useInference='USE')
+    - ✅ 50k 도엽번호로 필터링 (mapSheetNums50k가 있는 경우)
+     */
     BooleanBuilder whereBuilder = new BooleanBuilder();
-
+    whereBuilder.and(mapSheetMngHstEntity.mngYyyy.eq(year));
     whereBuilder.and(mapSheetMngHstEntity.dataState.eq("DONE"));
     whereBuilder.and(
         mapSheetMngHstEntity
@@ -1096,39 +1112,20 @@ public class MapSheetMngRepositoryImpl extends QuerydslRepositorySupport
             .or(mapSheetMngHstEntity.syncCheckState.eq("DONE")));
     whereBuilder.and(mapSheetMngHstEntity.useInference.eq("USE"));
 
-    whereBuilder.and(mapSheetMngHstEntity.mngYyyy.eq(year));
+    // TIF 파일 존재 여부 확인
-
     whereBuilder.and(
         JPAExpressions.selectOne()
             .from(mapSheetMngFileEntity)
             .where(
                 mapSheetMngFileEntity
                     .hstUid
-                    .eq(mapSheetMngHstEntity.hstUid) // FK 관계에 맞게 유지
+                    .eq(mapSheetMngHstEntity.hstUid)
+                    .and(mapSheetMngHstEntity.mngYyyy.eq(year))
                     .and(mapSheetMngFileEntity.fileExt.eq("tif"))
-                    .and(mapSheetMngFileEntity.fileState.eq("DONE")))
+                    .and(mapSheetMngFileEntity.fileState.eq("DONE"))
+                    .and(mapSheetMngFileEntity.fileDel.eq(false)))
             .exists());
 
-    BooleanBuilder likeBuilder = new BooleanBuilder();
-
-    if (MapSheetScope.PART.getId().equals(mapSheetScope)) {
-      List<String> list = mapSheetNum;
-      if (list == null || list.isEmpty()) {
-        return List.of();
-      }
-
-      for (String prefix : list) {
-        if (prefix == null || prefix.isBlank()) {
-          continue;
-        }
-        likeBuilder.or(mapSheetMngHstEntity.mapSheetNum.like(prefix.trim() + "%"));
-      }
-    }
-
-    if (likeBuilder.hasValue()) {
-      whereBuilder.and(likeBuilder);
-    }
-
     return queryFactory
         .select(
             Projections.constructor(
@@ -1145,7 +1142,8 @@ public class MapSheetMngRepositoryImpl extends QuerydslRepositorySupport
                 .mapidcdNo
                 .eq(mapSheetMngHstEntity.mapSheetNum)
                 .and(mapInkx5kEntity.useInference.eq(CommonUseStatus.USE)))
-        .where(whereBuilder)
+        .innerJoin(mapInkx5kEntity.mapInkx50k, mapInkx50kEntity)
+        .where(whereBuilder, inScenes50(mapInkx50kEntity, mapSheetNums50k))
         .fetch();
   }
 
@@ -1177,7 +1175,12 @@ public class MapSheetMngRepositoryImpl extends QuerydslRepositorySupport
             h.syncState.eq("DONE").or(h.syncCheckState.eq("DONE")),
             JPAExpressions.selectOne()
                 .from(f)
-                .where(f.hstUid.eq(h.hstUid), f.fileExt.eq("tif"), f.fileState.eq("DONE"))
+                .where(
+                    f.hstUid.eq(h.hstUid),
+                    f.mngYyyy.eq(year),
+                    f.fileExt.eq("tif"),
+                    f.fileState.eq("DONE"),
+                    f.fileDel.eq(false))
                 .exists(),
 
             // mapSheetNum별 최대 mngYyyy인 행만 남김
@@ -1194,9 +1197,19 @@ public class MapSheetMngRepositoryImpl extends QuerydslRepositorySupport
                             .from(f2)
                             .where(
                                 f2.hstUid.eq(h2.hstUid),
+                                f2.mngYyyy.eq(year),
                                 f2.fileExt.eq("tif"),
-                                f2.fileState.eq("DONE"))
+                                f2.fileState.eq("DONE"),
+                                f2.fileDel.eq(false))
                             .exists())))
         .fetch();
   }
+
+  // 도엽번호(1:50k) IN 쿼리조건
+  private BooleanExpression inScenes50(QMapInkx50kEntity mapInkx50k, List<String> sceneIds) {
+    if (sceneIds == null || sceneIds.isEmpty()) {
+      return null;
+    }
+    return mapInkx50k.mapidcdNo.in(sceneIds);
+  }
 }

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

@@ -88,17 +88,33 @@ public class MapSheetMngYearRepositoryImpl implements MapSheetMngYearRepositoryC
    */
   @Override
   public List<MngListCompareDto> findByHstMapSheetCompareList(int mngYyyy, List<String> mapIds) {
-    QMapSheetMngYearYnEntity y = QMapSheetMngYearYnEntity.mapSheetMngYearYnEntity;
+    QMapSheetMngYearYnEntity mapSheetMngYearYn = QMapSheetMngYearYnEntity.mapSheetMngYearYnEntity;
+
+    //    SELECT
+    //    concat(?, '') as col_0_0_,        -- 파라미터 mngYyyy (문자열)
+    //    m.map_sheet_num as col_1_0_,      -- 도엽번호
+    //    MAX(m.mng_yyyy) as col_2_0_       -- 최대 관리연도
+    //    FROM tb_map_sheet_mng_year_yn m
+    //    WHERE m.map_sheet_num IN (?, ?, ..., ?)  -- mapIds 리스트
+    //    AND m.yn = 'Y'                          -- 파일 존재 여부
+    //    AND m.mng_yyyy <= ?                     -- 기준연도 이하만
+    //    GROUP BY m.map_sheet_num
 
     StringExpression mngYyyyStr = Expressions.stringTemplate("concat({0}, '')", mngYyyy);
 
     return queryFactory
         .select(
             Projections.constructor(
-                MngListCompareDto.class, mngYyyyStr, y.id.mapSheetNum, y.id.mngYyyy.max()))
+                MngListCompareDto.class,
-        .from(y)
+                mngYyyyStr,
-        .where(y.id.mapSheetNum.in(mapIds), y.yn.eq("Y"), y.id.mngYyyy.loe(mngYyyy))
+                mapSheetMngYearYn.id.mapSheetNum,
-        .groupBy(y.id.mapSheetNum)
+                mapSheetMngYearYn.id.mngYyyy.max()))
+        .from(mapSheetMngYearYn)
+        .where(
+            mapSheetMngYearYn.id.mapSheetNum.in(mapIds),
+            mapSheetMngYearYn.yn.eq("Y"),
+            mapSheetMngYearYn.id.mngYyyy.loe(mngYyyy))
+        .groupBy(mapSheetMngYearYn.id.mapSheetNum)
         .fetch();
   }
 

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

@@ -39,4 +39,12 @@ public interface ModelMngRepositoryCustom {
   Optional<ModelMngEntity> findByModelId(Long id);
 
   Optional<ModelMngEntity> findByModelId(UUID id);
+
+  /**
+   * 버전명으로 모델 조회
+   *
+   * @param ver 모델버전
+   * @return 모델정보
+   */
+  Optional<ModelMngEntity> findByModelVer(String ver);
 }

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

@@ -246,4 +246,14 @@ public class ModelMngRepositoryImpl extends QuerydslRepositorySupport
     return Optional.ofNullable(
         queryFactory.selectFrom(modelMngEntity).where(modelMngEntity.uuid.eq(uuid)).fetchOne());
   }
+
+  @Override
+  public Optional<ModelMngEntity> findByModelVer(String ver) {
+    return Optional.ofNullable(
+        queryFactory
+            .selectFrom(modelMngEntity)
+            .where(modelMngEntity.modelVer.eq(ver))
+            .limit(1)
+            .fetchOne());
+  }
 }

src/main/java/com/kamco/cd/kamcoback/scheduler/SchedulerApiController.java

@@ -3,6 +3,8 @@ package com.kamco.cd.kamcoback.scheduler;
 import com.kamco.cd.kamcoback.code.dto.CommonCodeDto;
 import com.kamco.cd.kamcoback.config.api.ApiResponseDto;
 import com.kamco.cd.kamcoback.gukyuin.service.GukYuinApiService;
+import com.kamco.cd.kamcoback.inference.dto.InferenceResultShpDto;
+import com.kamco.cd.kamcoback.inference.service.InferenceResultShpService;
 import com.kamco.cd.kamcoback.scheduler.service.GukYuinApiLabelJobService;
 import com.kamco.cd.kamcoback.scheduler.service.GukYuinApiPnuJobService;
 import com.kamco.cd.kamcoback.scheduler.service.GukYuinApiStatusJobService;
@@ -11,6 +13,7 @@ import com.kamco.cd.kamcoback.scheduler.service.MemberInactiveJobService;
 import com.kamco.cd.kamcoback.scheduler.service.TrainingDataLabelJobService;
 import com.kamco.cd.kamcoback.scheduler.service.TrainingDataReviewJobService;
 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;
@@ -18,6 +21,7 @@ import io.swagger.v3.oas.annotations.responses.ApiResponses;
 import io.swagger.v3.oas.annotations.tags.Tag;
 import java.time.LocalDate;
 import java.util.List;
+import java.util.UUID;
 import lombok.RequiredArgsConstructor;
 import org.springframework.web.bind.annotation.GetMapping;
 import org.springframework.web.bind.annotation.PathVariable;
@@ -28,7 +32,7 @@ import org.springframework.web.bind.annotation.RequestMapping;
 import org.springframework.web.bind.annotation.RequestParam;
 import org.springframework.web.bind.annotation.RestController;
 
-@Tag(name = "스케줄링 수동 호출 테스트", description = "스케줄링 수동 호출 테스트 API")
+@Tag(name = "스케줄링 및 jar 수동 호출 테스트", description = "스케줄링 및 jar 수동 호출 테스트 API")
 @RestController
 @RequiredArgsConstructor
 @RequestMapping("/api/schedule")
@@ -42,6 +46,7 @@ public class SchedulerApiController {
   private final TrainingDataReviewJobService trainingDataReviewJobService;
   private final MemberInactiveJobService memberInactiveJobService;
   private final MapSheetMngFileJobController mapSheetMngFileJobController;
+  private final InferenceResultShpService inferenceResultShpService;
   private final GukYuinApiService gukYuinApiService;
 
   @Operation(summary = "국유인 탐지객체 조회 PNU 업데이트 스케줄링", description = "국유인 탐지객체 조회 PNU 업데이트 스케줄링")
@@ -54,7 +59,7 @@ public class SchedulerApiController {
   @Operation(summary = "국유인 등록 상태 체크 스케줄링", description = "국유인 등록 상태 체크 스케줄링")
   @GetMapping("/gukyuin/status")
   public ApiResponseDto<Void> findGukYuinMastCompleteYn() {
-    gukYuinApiStatusJobService.findGukYuinMastCompleteYn();
+    gukYuinApiStatusJobService.findGukYuinPnuCntUpdate();
     return ApiResponseDto.ok(null);
   }
 
@@ -137,4 +142,44 @@ public class SchedulerApiController {
 
     return ApiResponseDto.createOK("OK");
   }
+
+  @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/inference/{uuid}")
+  public ApiResponseDto<InferenceResultShpDto.InferenceCntDto> saveInferenceData(
+      @Parameter(example = "feb2ec0b-a0f7-49ca-95e4-98b2231bdaae", description = "추론 uuid")
+          @PathVariable
+          UUID uuid) {
+    return ApiResponseDto.createOK(inferenceResultShpService.saveInferenceResultData(uuid));
+  }
+
+  @Operation(summary = "추론결과 shp 생성", description = "추론결과 shp 생성")
+  @PostMapping("/shp/inference/{uuid}")
+  public ApiResponseDto<Void> createShp(
+      @Parameter(example = "feb2ec0b-a0f7-49ca-95e4-98b2231bdaae", description = "추론 uuid")
+          @PathVariable
+          UUID uuid) {
+    // shp 파일 수동생성
+    inferenceResultShpService.createShp(uuid);
+    return ApiResponseDto.createOK(null);
+  }
+
+  @Operation(summary = "국유인 실태조사 적합여부 랜덤 업데이트", description = "국유인 실태조사 적합여부 랜덤 업데이트")
+  @PutMapping("/gukyuin/random-stblt-update/{uid}/{updateCnt}")
+  public ApiResponseDto<Integer> updateStbltRandomData(
+      @PathVariable String uid, @PathVariable int updateCnt) {
+    return ApiResponseDto.ok(gukYuinApiService.updateStbltRandomData(uid, updateCnt));
+  }
 }

src/main/java/com/kamco/cd/kamcoback/scheduler/config/AsyncConfig.java

@@ -21,6 +21,17 @@ public class AsyncConfig {
     return ex;
   }
 
+  @Bean(name = "makeShapeFile")
+  public Executor makeShapeFileExecutor() {
+    ThreadPoolTaskExecutor ex = new ThreadPoolTaskExecutor();
+    ex.setCorePoolSize(2);
+    ex.setMaxPoolSize(4);
+    ex.setQueueCapacity(50);
+    ex.setThreadNamePrefix("makeShapeFile-");
+    ex.initialize();
+    return ex;
+  }
+
   @Bean(name = "auditLogExecutor")
   public Executor auditLogExecutor() {
     ThreadPoolTaskExecutor exec = new ThreadPoolTaskExecutor();
@@ -31,4 +42,16 @@ public class AsyncConfig {
     exec.initialize();
     return exec;
   }
+
+  // 0313
+  @Bean(name = "inferenceEndExecutor")
+  public Executor inferenceEndExecutor() {
+    ThreadPoolTaskExecutor executor = new ThreadPoolTaskExecutor();
+    executor.setCorePoolSize(5);
+    executor.setMaxPoolSize(10);
+    executor.setQueueCapacity(100);
+    executor.setThreadNamePrefix("inference-async-");
+    executor.initialize();
+    return executor;
+  }
 }

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

@@ -31,26 +31,33 @@ public class GukYuinApiLabelJobService {
     return "local".equalsIgnoreCase(profile);
   }
 
-  //  @Scheduled(cron = "0 0 2 * * *")
   public void runTask() {
     findLabelingCompleteSend(null);
   }
 
   /** 어제 라벨링 검수 완료된 것 -> 국유인에 전송 */
   public void findLabelingCompleteSend(LocalDate baseDate) {
-    //    if (isLocalProfile()) {
+
-    //      return;
+    log.info("[Step 1-1] 어제 검수완료된 라벨링을 검색한다.");
-    //    }
+    log.info("=== baseDate : {}", baseDate);
+    log.info("=== baseDate 있으면 해당 일자, 없으면 어제일자로 조회");
 
     List<GeomUidDto> list = gukYuinLabelJobCoreService.findYesterdayLabelingCompleteList(baseDate);
+    log.info("[Step 1-2] 검수완료된 폴리곤 객체 수 : {}", list == null ? 0 : list.size());
     if (list.isEmpty()) {
+      log.info("[Step 1-3] 객체 없어서 return : 스케줄링 종료");
       return;
     }
 
+    log.info("[Step 2-1] 객체 목록으로 라벨링 전송 API 호출 시작");
     for (GeomUidDto gto : list) {
+      log.info("[Step 2-2] 객체ID 확인 gto.getResultUid(): {}", gto.getResultUid());
       ChngDetectContDto.ResultLabelDto dto =
           gukYuinApiService.updateChnDtctObjtLabelingYn(gto.getResultUid(), "Y", "Y");
+      log.info("[Step 2-3] 결과 dto.getSuccess(): {}", dto.getSuccess());
       if (dto.getSuccess()) {
+        log.info("[Step 2-4] 결과가 성공일 때 inference_geom에 label_send_dttm 업데이트 하기");
+        log.info("==== 업데이트 하는 객체 gto.getGeoUid(): {}", gto.getGeoUid());
         // inference_geom 에 label_send_dttm 업데이트 하기
         gukYuinLabelJobCoreService.updateAnalDataInferenceGeomSendDttm(gto.getGeoUid());
       }

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

@@ -41,16 +41,24 @@ public class GukYuinApiPnuJobService {
     //      return;
     //    }
 
+    log.info("[Step 1-1] 국유인 연동까지 완료된 추론 목록 가져오기");
+    log.info("=== apply_status -> 100% 다운 완료: GUK_COMPLETED, PNU매핑 실패: PNU_FAILED");
     List<LearnKeyDto> list =
         gukYuinPnuJobCoreService.findGukyuinApplyStatusUidList(
             List.of(GukYuinStatus.GUK_COMPLETED.getId(), GukYuinStatus.PNU_FAILED.getId()));
+
+    log.info("[Step 1-2] 매핑할 추론 회차 갯수 : {}", list == null ? 0 : list.size());
     if (list.isEmpty()) {
+      log.info("[Step 1-3] 매핑할 추론 회차 갯수 없어서 리턴하고 끝남");
       return;
     }
 
+    log.info("[Step 2-1] 추론 회차별 pnu 매핑 for문 시작 ");
     for (LearnKeyDto dto : list) {
       try {
-        processUid(dto.getUid(), dto.getUid());
+        log.info("[Step 2-2] 진행하는 추론 Uid: {}", dto.getUid());
+        processUid(dto.getUid());
+
         gukYuinPnuJobCoreService.updateGukYuinApplyStateComplete(
             dto.getId(), GukYuinStatus.PNU_COMPLETED);
       } catch (Exception e) {
@@ -61,15 +69,21 @@ public class GukYuinApiPnuJobService {
     }
   }
 
-  private void processUid(String chnDtctId, String uid) {
+  private void processUid(String uid) {
-    ResultDto result = gukYuinApiService.listChnDtctId(chnDtctId, "Y");
+    log.info("[Step 2-4] 탐지 등록목록 상세 API 호출 시작");
+    ResultDto result = gukYuinApiService.listChnDtctId(uid, "Y");
+
     if (result == null || result.getResult() == null || result.getResult().isEmpty()) {
+      log.info("[Step 2-5] 결과값 없어서 return");
       return;
     }
 
+    log.info("[Step 2-5] 결과값 첫번째 값 가져오기");
     ChngDetectMastDto.Basic basic = result.getResult().get(0);
     String chnDtctCnt = basic.getChnDtctCnt();
+    log.info("[Step 2-6] 탐지 객체 전체 갯수 chnDtctCnt = {}", chnDtctCnt);
     if (chnDtctCnt == null || chnDtctCnt.isEmpty()) {
+      log.info("[Step 2-76] 탐지 객체 전체 갯수 없어서 return");
       return;
     }
 
@@ -78,29 +92,44 @@ public class GukYuinApiPnuJobService {
     int totalCount = Integer.parseInt(chnDtctCnt);
     int totalPages = (totalCount + pageSize - 1) / pageSize;
 
+    log.info("[Step 3-1] 탐지 객체 전체 수로 페이지 계산 : {}", totalPages);
     for (int page = 0; page < totalPages; page++) {
+      log.info("[Step 3-2] 페이지 별 호출 : {}", page);
       processPage(uid, page, pageSize);
     }
   }
 
   private void processPage(String uid, int page, int pageSize) {
+    log.info("[Step 4-1] 탐지객체 목록 API 호출 시작");
     ResultContDto resContList = gukYuinApiService.findChnContList(uid, page, pageSize, "Y");
 
     if (resContList.getResult() == null || resContList.getResult().isEmpty()) {
+      log.info("[Step 4-2] 탐지객체 목록 결과 없어서 return");
       return; // 외부 API 이상 방어
     }
 
     List<ContBasic> contList = resContList.getResult();
+    log.info("[Step 4-3] 탐지객체 목록 결과 contList.size : {}", contList == null ? 0 : contList.size());
     for (ContBasic cont : contList) {
       String[] pnuList = cont.getPnuList();
       long pnuCnt = pnuList == null ? 0 : pnuList.length;
+      log.info("[Step 4-4] 객체에 연결된 pnuCnt : {}", pnuCnt);
       if (cont.getChnDtctObjtId() != null) {
+        log.info(
+            "[Step 4-5] inference_geom 에 pnu 갯수 update : cont.getChnDtctObjtId = {}",
+            cont.getChnDtctObjtId());
+        log.info(" === cont.getChnDtctObjtId : {}", cont.getChnDtctObjtId());
+        log.info(" === pnuCnt : {}", pnuCnt);
         gukYuinPnuJobCoreService.updateInferenceGeomDataPnuCnt(cont.getChnDtctObjtId(), pnuCnt);
 
         if (pnuCnt > 0) {
+          log.info("[Step 4-6] 객체 ID로 geoUid 검색 = {}", cont.getChnDtctObjtId());
           Long geoUid =
               gukYuinPnuJobCoreService.findMapSheetAnalDataInferenceGeomUid(
                   cont.getChnDtctObjtId());
+
+          log.info("[Step 4-7] tb_pnu 에 데이터 upsert 수행");
+          log.info("===== geoUid = {}", geoUid);
           gukYuinPnuJobCoreService.insertGeoUidPnuData(geoUid, pnuList, cont.getChnDtctObjtId());
         }
       }

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

@@ -5,6 +5,7 @@ import com.kamco.cd.kamcoback.gukyuin.dto.ChngDetectMastDto.LearnKeyDto;
 import com.kamco.cd.kamcoback.gukyuin.dto.GukYuinStatus;
 import com.kamco.cd.kamcoback.gukyuin.service.GukYuinApiService;
 import com.kamco.cd.kamcoback.postgres.core.GukYuinJobCoreService;
+import com.kamco.cd.kamcoback.postgres.core.GukYuinPnuCntUpdateJobCoreService;
 import java.util.List;
 import lombok.RequiredArgsConstructor;
 import lombok.extern.log4j.Log4j2;
@@ -18,6 +19,7 @@ public class GukYuinApiStatusJobService {
 
   private final GukYuinJobCoreService gukYuinJobCoreService;
   private final GukYuinApiService gukYuinApiService;
+  private final GukYuinPnuCntUpdateJobCoreService gukYuinPnuCntUpdateJobCoreService;
 
   @Value("${spring.profiles.active}")
   private String profile;
@@ -31,12 +33,8 @@ public class GukYuinApiStatusJobService {
     return "local".equalsIgnoreCase(profile);
   }
 
-  /** 국유인 연동 후, 100% 되었는지 확인하는 스케줄링 매 10분마다 호출 */
+  /** 매일 00시에 pnu cnt 업데이트 */
-  //  @Scheduled(cron = "0 0/10 * * * *")
+  public void findGukYuinPnuCntUpdate() {
-  public void findGukYuinMastCompleteYn() {
-    //    if (isLocalProfile()) {
-    //      return;
-    //    }
 
     List<LearnKeyDto> list =
         gukYuinJobCoreService.findGukyuinApplyStatusUidList(
@@ -59,8 +57,9 @@ public class GukYuinApiStatusJobService {
         Integer progress =
             basic.getExcnPgrt() == null ? null : Integer.parseInt(basic.getExcnPgrt().trim());
         if (progress != null && progress == 100) {
-          gukYuinJobCoreService.updateGukYuinApplyStateComplete(
+          gukYuinPnuCntUpdateJobCoreService.updateGukYuinContListPnuUpdateCnt();
-              dto.getId(), GukYuinStatus.GUK_COMPLETED);
+          gukYuinPnuCntUpdateJobCoreService.updateGukYuinApplyStatus(
+              dto.getUid(), GukYuinStatus.PNU_COMPLETED.getId());
         }
       } catch (Exception e) {
         log.error("[GUKYUIN] failed uid={}", dto.getChnDtctMstId(), e);

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

@@ -38,24 +38,26 @@ public class GukYuinApiStbltJobService {
     return "local".equalsIgnoreCase(profile);
   }
 
-  //  @Scheduled(cron = "0 0 3 * * *")
   public void runTask() {
     findGukYuinEligibleForSurvey(null);
   }
 
   /** 국유인 연동 후, 실태조사 적합여부 확인하여 update */
   public void findGukYuinEligibleForSurvey(LocalDate baseDate) {
-    //    if (isLocalProfile()) {
-    //      return;
-    //    }
 
+    log.info("[Step 1-1] 국유인 연동 PNU 완료된 추론 회차 정보 가져오기 ");
+    log.info(" learn 테이블의 apply_status : {}", GukYuinStatus.PNU_COMPLETED.getId());
     List<LearnKeyDto> list =
         gukYuinStbltJobCoreService.findGukYuinEligibleForSurveyList(
             GukYuinStatus.PNU_COMPLETED.getId());
+
+    log.info("[Step 1-2] 국유인 연동 PNU 완료된 추론 회차 갯수 : {}", list == null ? 0 : list.size());
     if (list.isEmpty()) {
+      log.info("[Step 1-3] 국유인 연동 PNU 완료된 추론 회차 갯수 없어서 return");
       return;
     }
 
+    log.info("[Step 2-1] 추론 회차 list 로 for문 실행하기 ");
     for (LearnKeyDto dto : list) {
       try {
         String targetDate =
@@ -63,19 +65,30 @@ public class GukYuinApiStbltJobService {
                 .minusDays(1)
                 .format(DateTimeFormatter.ofPattern("yyyyMMdd"));
 
+        log.info("[Step 2-2] 실태조사 적합여부 조회 날짜 확인 : {}", targetDate);
         if (baseDate != null) { // 파라미터가 있으면
           targetDate = baseDate.format(DateTimeFormatter.ofPattern("yyyyMMdd"));
+          log.info("[Step 2-3] 수동호출 baseDate 가 있을 경우, 실태조사 적합여부 조회 날짜 확인 : {}", targetDate);
         }
 
+        log.info("[Step 3-1] 국유인 실태조사 적합여부 API 호출 시작 ");
+        log.info(" === 값 확인 - uid : {}", dto.getUid());
+        log.info(" === 값 확인 - targetDate : {}", targetDate);
         RlbDtctDto result = gukYuinApiService.findRlbDtctList(dto.getUid(), targetDate, "Y");
 
         if (result == null || result.getResult() == null || result.getResult().isEmpty()) {
-          log.warn("[GUKYUIN] empty result chnDtctMstId={}", dto.getChnDtctMstId());
+          log.info("[GUKYUIN] empty result chnDtctId={}", dto.getUid());
+          log.info("=== 국유인 API 조회 결과 없어서 continue");
           continue;
         }
 
+        log.info("[Step 4-1] 국유인 실태조사 적합여부 result 값으로 데이터 업데이트");
+        log.info(" === 데이터 갯수 : {}", result.getResult() == null ? 0 : result.getResult().size());
+
         for (RlbDtctMastDto stbltDto : result.getResult()) {
+          log.info("[Step 4-2] 국유인 실태조사 적합여부 결과 가져오기");
           String resultUid = stbltDto.getChnDtctObjtId();
+          log.info(" == 테이블 tb_pnu 에 적합여부 리턴 결과를 upsert 진행, 객체 uid : {}", resultUid);
           gukYuinStbltJobCoreService.updateGukYuinEligibleForSurvey(resultUid, stbltDto);
         }
 
@@ -90,6 +103,7 @@ public class GukYuinApiStbltJobService {
                         e -> {
                           List<RlbDtctMastDto> pnuList = e.getValue();
 
+                          log.info("[Step 4-3] 국유인 실태조사 적합여부 업데이트 값을 객체 uid 기준으로 DTO 생성");
                           boolean hasY = pnuList.stream().anyMatch(v -> "Y".equals(v.getStbltYn()));
 
                           String fitYn = hasY ? "Y" : "N";
@@ -105,7 +119,9 @@ public class GukYuinApiStbltJobService {
                                       .findFirst()
                                       .orElse(null);
 
+                          log.info(" === selected DTO : {}", selected);
                           if (selected == null) {
+                            log.info(" === selected NULL");
                             return null; // 방어 코드
                           }
 
@@ -113,10 +129,11 @@ public class GukYuinApiStbltJobService {
                               fitYn, selected.getIncyCd(), selected.getIncyRsnCont());
                         }));
 
+        log.info("[Step 4-4] 국유인 실태조사 적합여부, 사유, 내용을 inference_geom 테이블에 update");
         resultMap.forEach(gukYuinStbltJobCoreService::updateGukYuinObjectStbltYn);
 
       } catch (Exception e) {
-        log.error("[GUKYUIN] failed uid={}", dto.getChnDtctMstId(), e);
+        log.error("[GUKYUIN] failed uid={}", dto.getUid(), e);
       }
     }
   }

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

@@ -214,7 +214,7 @@ public class MapSheetInferenceJobService {
     // 현재 모델 종료 업데이트
     updateProcessingEndTimeByModel(job, sheet.getUuid(), now, currentType);
 
-    // M3이면 전체 종료
+    // G3이면 전체 종료
     if (ModelType.G3.getId().equals(currentType)) {
       endAll(sheet, now);
       return;
@@ -235,6 +235,13 @@ public class MapSheetInferenceJobService {
    * @param now
    */
   private void endAll(InferenceBatchSheet sheet, ZonedDateTime now) {
+
+    List<Long> batchIds =
+        Stream.of(sheet.getM1BatchId(), sheet.getM2BatchId(), sheet.getM3BatchId())
+            .filter(Objects::nonNull)
+            .distinct()
+            .toList();
+
     SaveInferenceAiDto save = new SaveInferenceAiDto();
     save.setUuid(sheet.getUuid());
     save.setStatus(Status.END.getId());
@@ -246,16 +253,11 @@ public class MapSheetInferenceJobService {
     inferenceResultCoreService.upsertGeomData(sheet.getId());
 
     // 추론 종료일때 shp 파일 생성
-    List<Long> batchIds =
-        Stream.of(sheet.getM1BatchId(), sheet.getM2BatchId(), sheet.getM3BatchId())
-            .filter(Objects::nonNull)
-            .distinct()
-            .toList();
-
     String batchIdStr = batchIds.stream().map(String::valueOf).collect(Collectors.joining(","));
 
-    // shp 파일 비동기 생성
+    // 0312 shp 파일 비동기 생성 (바꿔주세요)
-    shpPipelineService.runPipeline(jarPath, datasetDir, batchIdStr, sheet.getUid());
+    shpPipelineService.makeShapeFile(sheet.getUid(), batchIds);
+    // shpPipelineService.runPipeline(jarPath, datasetDir, batchIdStr, sheet.getUid());
   }
 
   /**
@@ -423,6 +425,7 @@ public class MapSheetInferenceJobService {
             .map(Long::valueOf)
             .toList();
 
+    // 추론 실행 도엽별 정보 조회
     List<Long> jobIds = inferenceResultCoreService.findFail5kList(uuid, failedIds, type);
 
     Set<Long> jobIdSet = new HashSet<>(jobIds);

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

@@ -1,8 +1,9 @@
 package com.kamco.cd.kamcoback.scheduler.service;
 
 import com.kamco.cd.kamcoback.common.service.ExternalJarRunner;
+import com.kamco.cd.kamcoback.postgres.core.InferenceResultCoreService;
 import com.kamco.cd.kamcoback.scheduler.config.ShpKeyLock;
-import java.nio.file.Paths;
+import java.util.List;
 import lombok.RequiredArgsConstructor;
 import lombok.extern.log4j.Log4j2;
 import org.springframework.scheduling.annotation.Async;
@@ -13,11 +14,44 @@ import org.springframework.stereotype.Service;
 @RequiredArgsConstructor
 public class ShpPipelineService {
 
+  private final InferenceResultCoreService inferenceResultCoreService;
   private final ExternalJarRunner externalJarRunner;
   private final ShpKeyLock shpKeyLock;
 
+  // 0312 shp 파일 비동기 생성
+  @Async("makeShapeFile")
+  public void makeShapeFile(String inferenceId, List<Long> batchIds) {
+    if (!shpKeyLock.tryLock(inferenceId)) {
+      log.info("");
+      log.info("============================================================");
+      log.info("SHP pipeline already running. inferenceId={}", inferenceId);
+      log.info("============================================================");
+      try {
+        log.info("SHP pipeline already start. inferenceId={}", inferenceId);
+        externalJarRunner.run(inferenceId, batchIds);
+      } catch (Exception e) {
+        log.error("SHP pipeline failed. inferenceId={}", inferenceId, e);
+        // TODO 실패 상태 업데이트 로직 추가
+      } finally {
+        log.info("============================================================");
+        log.info("SHP pipeline DONE. inferenceId={}", inferenceId);
+        log.info("============================================================");
+        log.info("");
+        shpKeyLock.unlock(inferenceId);
+      }
+    }
+  }
+
+  /**
+   * shp 파일 생성 1. merge 생성 2. 생성된 merge shp 파일로 geoserver 등록, 3.도엽별로 shp 생성
+   *
+   * @param jarPath 실행 jar 파일 경로
+   * @param datasetDir shp 파일이 생성될 경로
+   * @param batchIds 추론 batch id = 12,13,14
+   * @param inferenceId 추론 uid 32자
+   */
   @Async("shpExecutor")
-  public void runPipeline(String jarPath, String datasetDir, String batchId, String inferenceId) {
+  public void runPipeline(String jarPath, String datasetDir, String batchIds, String inferenceId) {
 
     // inferenceId 기준 동시 실행 제한
     if (!shpKeyLock.tryLock(inferenceId)) {
@@ -26,24 +60,33 @@ public class ShpPipelineService {
     }
 
     try {
+
+      log.info("");
+      log.info("============================================================");
+      log.info("SHP pipeline started. inferenceId={}", inferenceId);
+      log.info("============================================================");
+
       // uid 기준 merge shp, geojson 파일 생성
-      externalJarRunner.run(jarPath, batchId, inferenceId, "", "MERGED");
+      externalJarRunner.run(jarPath, batchIds, inferenceId, "", "MERGED");
 
       // uid 기준 shp 파일 geoserver 등록
-      String register =
+      //      String register =
-          Paths.get(datasetDir, inferenceId, "merge", inferenceId + ".shp").toString();
+      //          Paths.get(datasetDir, inferenceId, "merge", inferenceId + ".shp").toString();
-      log.info("register={}", register);
+      //      log.info("register={}", register);
-      externalJarRunner.run(jarPath, register, inferenceId);
+      //      externalJarRunner.run(jarPath, register, inferenceId);
-
+      //
-      // uid 기준 도엽별 shp, geojson 파일 생성
+      //      // uid 기준 도엽별 shp, geojson 파일 생성
-      externalJarRunner.run(jarPath, batchId, inferenceId, "", "RESOLVE");
+      //      externalJarRunner.run(jarPath, batchIds, inferenceId, "", "RESOLVE");
-
+      //
-      log.info("SHP pipeline finished. inferenceId={}", inferenceId);
+      //      log.info("SHP pipeline finished. inferenceId={}", inferenceId);
 
     } catch (Exception e) {
       log.error("SHP pipeline failed. inferenceId={}", inferenceId, e);
       // TODO 실패 상태 업데이트 로직 추가
     } finally {
+      log.info("============================================================");
+      log.info("SHP pipeline DONE. inferenceId={}", inferenceId);
+      log.info("============================================================");
       shpKeyLock.unlock(inferenceId);
     }
   }

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

@@ -32,7 +32,6 @@ public class TrainingDataLabelJobService {
     return "local".equalsIgnoreCase(profile);
   }
 
-  //  @Scheduled(cron = "0 0 0 * * *")
   public void runTask() {
     // 프록시를 통해 호출해야 @Transactional이 적용됨
     applicationContext
@@ -43,55 +42,72 @@ public class TrainingDataLabelJobService {
   @Transactional
   public void assignReviewerYesterdayLabelComplete(LocalDate baseDate) {
 
-    //    if (isLocalProfile()) {
-    //      return;
-    //    }
-
     try {
+      log.info("[Step 1-1] 라벨링 완료된 데이터 목록 조회한다.");
+      log.info("=== baseDate : {}", baseDate);
+      log.info("=== baseDate 있으면 해당 일자, 없으면 어제일자로 조회");
       List<Tasks> tasks =
           trainingDataLabelJobCoreService.findCompletedYesterdayUnassigned(baseDate);
 
+      log.info("[Step 1-2] 목록 객체 건수 count : {}", tasks == null ? 0 : tasks.size());
       if (tasks.isEmpty()) {
+        log.info("[Step 1-3] 조회된 것 없어 return");
         return;
       }
 
       // 회차별로 그룹핑
+      log.info("[Step 2-1] 회차별로 그룹핑 시작");
       Map<Long, List<Tasks>> taskByRound =
           tasks.stream().collect(Collectors.groupingBy(Tasks::getAnalUid));
 
       // 회차별 분배
+      log.info("[Step 3-1] 회차별로 분배 시작");
       for (Map.Entry<Long, List<Tasks>> entry : taskByRound.entrySet()) {
         Long analUid = entry.getKey();
         List<Tasks> analTasks = entry.getValue();
 
         // pending 계산
+        log.info("[Step 3-2] 수행하는 회차 analUid: {}", analUid);
+        log.info("해당 회차에 라벨링 할당받은 검수자별 완료 건수 count(), 완료한 게 적은 순으로 해야 일이 한 사람에게 몰리지 않음");
         List<InspectorPendingDto> pendings =
             trainingDataLabelJobCoreService.findInspectorPendingByRound(analUid);
 
+        log.info("검수자 수: {}", pendings == null ? 0 : pendings.size());
         if (pendings.isEmpty()) {
+          log.info("[Step 3-3] 할당된 검수자가 없으면 return");
           continue;
         }
 
+        log.info("[Step 4-1] 검수자 사번 List 생성");
         List<String> reviewerIds =
             pendings.stream().map(InspectorPendingDto::getInspectorUid).toList();
 
         // Lock 걸릴 수 있기 때문에 엔티티 조회하는 Repository 에서 구현
+        log.info("[Step 4-2] 검수자 테이블 lock 걸리지 않게 처리");
         trainingDataLabelJobCoreService.lockInspectors(analUid, reviewerIds);
 
         // 균등 분배
+        log.info("[Step 5-1] 검수자에게 라벨 작업 균등분배 시작");
         Map<String, List<Tasks>> assignMap = distributeByLeastPending(analTasks, reviewerIds);
+        log.info("[Step 5-2] 검수자에게 라벨 작업 균등분배 완료");
 
         // reviewer별 batch update
+        log.info("[Step 5-3] 검수자별 할당 데이터를 batch update 시작");
         assignMap.forEach(
             (reviewerId, assignedTasks) -> {
               if (assignedTasks.isEmpty()) {
+                log.info("[Step 5-4] 할당된 데이터 없으면 return");
                 return;
               }
 
               List<UUID> assignmentUids =
                   assignedTasks.stream().map(Tasks::getAssignmentUid).toList();
+              log.info("[Step 6-1] 할당 작업에 검수자 아이디 update");
+              log.info("==== 검수자 사번: {}", reviewerId);
+              log.info("==== 할당 갯수: {}", assignmentUids == null ? 0 : assignmentUids.size());
               trainingDataLabelJobCoreService.assignReviewerBatch(assignmentUids, reviewerId);
 
+              log.info("[Step 7-1] geom 테이블에 검수 상태 update");
               List<Long> geomUids = assignedTasks.stream().map(Tasks::getInferenceUid).toList();
               trainingDataLabelJobCoreService.updateGeomUidTestState(geomUids);
             });

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

@@ -15,7 +15,6 @@ import java.nio.file.Path;
 import java.nio.file.Paths;
 import java.time.LocalDate;
 import java.util.List;
-import java.util.Objects;
 import lombok.RequiredArgsConstructor;
 import lombok.extern.log4j.Log4j2;
 import org.springframework.beans.factory.annotation.Value;
@@ -39,52 +38,68 @@ public class TrainingDataReviewJobService {
   }
 
   @Transactional
-  //  @Scheduled(cron = "0 0 2 * * *")
   public void runTask() {
     exportGeojsonLabelingGeom(null);
   }
 
+  /**
+   * 미사용 -> kamco-cd-cron GIT에 kamco-make-dataset-generation jar 생성 로직에 포함되어 해당 로직은 미사용
+   *
+   * @param baseDate
+   */
   public void exportGeojsonLabelingGeom(LocalDate baseDate) {
 
-    //    if (isLocalProfile()) {
-    //      return;
-    //    }
-
     // 1) 경로/파일명 결정
     String targetDir =
         "local".equals(profile) ? System.getProperty("user.home") + "/geojson" : trainingDataDir;
+    log.info("[Step 1-1] geojson 파일 생성할 경로: {}", targetDir);
 
     // 2) 진행중인 회차 중, complete_cnt 가 존재하는 회차 목록 가져오기
+    log.info("[Step 1-2] 진행중(ING)인 회차 중, 검수완료한(complete_cnt) 갯수가 존재하는 회차 목록 가져오기");
     List<AnalCntInfo> analList = trainingDataReviewJobCoreService.findAnalCntInfoList();
+    log.info("[Step 1-3] 회차 리스트 건수: {}", analList == null ? 0 : analList.size());
+
+    if (analList.isEmpty()) {
+      log.info("[Step 1-4] 회차 리스트 없어 return 하고 종료");
+      return;
+    }
 
     for (AnalCntInfo info : analList) {
-      if (Objects.equals(info.getAllCnt(), info.getFileCnt())) {
-        continue;
-      }
 
       String resultUid = info.getResultUid(); // 회차의 대문자 uid (폴더명으로 사용)
 
       // 3) 회차 + 어제까지 검수 완료된 총 데이터의 도엽별 목록 가져오기
+      log.info("[Step 3-1] 회차 + 어제까지 검수 완료된 총 데이터의 도엽별 목록 가져오기");
+      log.info(" === 기준일자 baseDate : " + baseDate);
+      log.info(" === 검수완료일자 < 기준일자인 폴리곤의 도엽 목록을 조회");
+
       List<AnalMapSheetList> analMapList =
           trainingDataReviewJobCoreService.findCompletedAnalMapSheetList(
               info.getAnalUid(), baseDate);
 
+      log.info("=== analMapList cnt: {}", analMapList == null ? 0 : analMapList.size());
       if (analMapList.isEmpty()) {
+        log.info("[Step 3-2] 도엽 목록 조회되지 않아 continue");
         continue;
       }
 
+      log.info("[Step 4-1] 도엽별 geom 데이터 가지고 와서 geojson 만들기 시작");
       for (AnalMapSheetList mapSheet : analMapList) {
         // 4) 도엽별 geom 데이터 가지고 와서 geojson 만들기
+        log.info("[Step 4-2] 도엽별 검수완료된 폴리곤 데이터 목록 조회");
         List<CompleteLabelData> completeList =
             trainingDataReviewJobCoreService.findCompletedYesterdayLabelingList(
                 info.getAnalUid(), mapSheet.getMapSheetNum(), baseDate);
 
+        log.info("=== completeList size: {}", completeList == null ? 0 : completeList.size());
         if (!completeList.isEmpty()) {
 
+          log.info("[Step 4-3] 목록에서 filter로 geoUid List 생성, 폴리곤 feature별 리스트 생성");
           List<Long> geoUids = completeList.stream().map(CompleteLabelData::getGeoUid).toList();
           List<GeoJsonFeature> features = completeList.stream().map(GeoJsonFeature::from).toList();
 
           // 5) 파일서버에 uid 폴더 생성 후 업로드 하기
+          log.info("[Step 5-1] 파일서버에 uid 폴더 생성 후 업로드 하기 시작");
           FeatureCollection collection = new FeatureCollection(features);
           String filename =
               String.format(
@@ -94,16 +109,20 @@ public class TrainingDataReviewJobService {
                   mapSheet.getTargetYyyy(),
                   mapSheet.getMapSheetNum());
 
+          log.info("=== filename: {}", filename);
+          log.info("=== 회차의 uid: {}", resultUid);
           Path outputPath = Paths.get(targetDir + "/" + resultUid, filename);
+          log.info("=== outputPath: {}", outputPath);
           try {
+            log.info("[Step 6-1] Uid로 폴더 생성");
             Files.createDirectories(outputPath.getParent());
 
+            log.info("[Step 6-2] geoJson 파일 생성");
             ObjectMapper objectMapper = new ObjectMapper();
             objectMapper.enable(SerializationFeature.INDENT_OUTPUT);
             objectMapper.writeValue(outputPath.toFile(), collection);
 
-            // geoUids : file_create_yn = true 로 업데이트
+            log.info("[Step 6-3] geoJson 파일 생성 완료");
-            trainingDataReviewJobCoreService.updateLearnDataGeomFileCreateYn(geoUids);
 
           } catch (IOException e) {
             log.error(e.getMessage());

src/main/java/com/kamco/cd/kamcoback/test/TestShapeApiController.java

@@ -0,0 +1,50 @@
+package com.kamco.cd.kamcoback.test;
+
+import com.kamco.cd.kamcoback.config.api.ApiResponseDto;
+import com.kamco.cd.kamcoback.scheduler.service.ShpPipelineService;
+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.ErrorResponse;
+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 = "test shape api", description = "test shape api")
+@RestController
+@RequiredArgsConstructor
+@RequestMapping("/api/test")
+public class TestShapeApiController {
+
+  private final ShpPipelineService shpPipelineService;
+
+  @Operation(
+      summary = "shapefile 생성 테스트",
+      description = "지정된 inference ID와 batch ID 목록으로 shapefile을 생성합니다.")
+  @ApiResponses({
+    @ApiResponse(
+        responseCode = "200",
+        description = "shapefile 생성 요청 성공",
+        content = @Content(schema = @Schema(implementation = String.class))),
+    @ApiResponse(
+        responseCode = "400",
+        description = "잘못된 요청 데이터",
+        content = @Content(schema = @Schema(implementation = ErrorResponse.class))),
+    @ApiResponse(
+        responseCode = "500",
+        description = "서버 오류",
+        content = @Content(schema = @Schema(implementation = ErrorResponse.class)))
+  })
+  @GetMapping("/make-shapefile")
+  public ApiResponseDto<String> makeShapeFile(
+      @RequestParam String inferenceId, @RequestParam List<Long> batchIds) {
+    shpPipelineService.makeShapeFile(inferenceId, batchIds);
+    return ApiResponseDto.ok("Shapefile 생성이 시작되었습니다. inferenceId: " + inferenceId);
+  }
+}

src/main/resources/application-dev.yml

@@ -59,8 +59,8 @@ jwt:
   secret: "kamco_token_9b71e778-19a3-4c1d-97bf-2d687de17d5b"
   access-token-validity-in-ms: 86400000      # 1일
   refresh-token-validity-in-ms: 604800000    # 7일
-  #access-token-validity-in-ms: 60000        # 1분
+  #access-token-validity-in-ms: 300000        # 5분
-  #refresh-token-validity-in-ms: 300000      # 5분
+  #refresh-token-validity-in-ms: 600000      # 10분
 
 token:
   refresh-cookie-name: kamco-dev   # 개발용 쿠키 이름
@@ -100,6 +100,7 @@ inference:
   url: http://192.168.2.183:8000/jobs
   batch-url: http://192.168.2.183:8000/batches
   jar-path: ${inference.nfs}/repo/jar/shp-exporter.jar
+  jar-path-v2: ${inference.nfs}/repo/jar/shp-exporter-v2.jar
   inference-server-name: server1,server2,server3,server4
   output-dir: ${inference.nfs}/model_output/export
 

src/main/resources/application-local.yml

@@ -74,11 +74,13 @@ file:
   pt-FileName: v5-best.pt
 
 inference:
-  nfs: C:/Users/gyparkkamco-nfs
+  nfs: C:/Users/gypark/kamco-nfs
   url: http://10.100.0.11:8000/jobs
   batch-url: http://10.100.0.11:8000/batches
   jar-path: jar/shp-exporter.jar
+  jar-path-v2: jar/shp-exporter-v2.jar
   inference-server-name: server1,server2,server3,server4
+  output-dir: ${inference.nfs}/model_output/export
 
 gukyuin:
   #url:  http://localhost:8080
@@ -90,3 +92,6 @@ layer:
   wms-path: geoserver/cd
   wmts-path: geoserver/cd/gwc/service
   workspace: cd
+
+training-data:
+  geojson-dir: /kamco-nfs/dataset/request/

src/main/resources/application-prod.yml

@@ -88,12 +88,15 @@ file:
   nfs: /data
   pt-path: ${file.nfs}/ckpt/model/v6-cls-checkpoints/
   pt-FileName: yolov8_6th-6m.pt
+  output-dir: /kamco-nfs/dataset/export/
 
 inference:
   nfs: /data
   url: http://172.16.4.56:8000/jobs
   batch-url: http://172.16.4.56:8000/batches
   jar-path: ${inference.nfs}/repo/jar/shp-exporter.jar
+  #  //0312
+  jar-path-v2: ${inference.nfs}/repo/jar/shp-exporter-v2.jar
   inference-server-name: server1,server2,server3,server4
   output-dir: ${inference.nfs}/model_output/export
 

src/main/resources/application.yml

@@ -88,3 +88,6 @@ inference:
   nfs: /kamco-nfs
   geojson-dir: ${inference.nfs}/requests/                   # 추론실행을 위한 파일생성경로
   jar-path: ${inference.nfs}/repo/jar/shp-exporter.jar
+  #  //0312
+  jar-path-v2: ${inference.nfs}/repo/jar/shp-exporter-v2.jar
+