label-send 로그작성,prod수정,spotless

gukyuin/label-send/build/resources/main/application-prod.yml

@@ -84,28 +84,28 @@ mapsheet:
     baseurl: /app/detect/result #현재사용안함
 
 file:
-  sync-root-dir: /data/images/
-  sync-tmp-dir: /data/repo/tmp       # image upload temp dir
+  sync-root-dir: /kamco-nfs/images/
+  sync-tmp-dir: /kamco-nfs/repo/tmp       # image upload temp dir
   sync-file-extention: tfw,tif
 
-  #dataset-dir: D:/data/model_output/ #변경 model_output
-  dataset-dir: /data/model_output/export/  # 마운트경로 AI 추론결과
+  #dataset-dir: D:/kamco-nfs/model_output/ #변경 model_output
+  dataset-dir: /kamco-nfs/model_output/export/  # 마운트경로 AI 추론결과
   dataset-tmp-dir: ${file.dataset-dir}tmp/
 
-  #model-dir: D:/data/ckpt/model/
-  model-dir: /data/ckpt/model/             # 학습서버에서 트레이닝한 모델업로드경로
+  #model-dir: D:/kamco-nfs/ckpt/model/
+  model-dir: /kamco-nfs/ckpt/model/             # 학습서버에서 트레이닝한 모델업로드경로
   model-tmp-dir: ${file.model-dir}tmp/
   model-file-extention: pth,json,py
 
-  pt-path: /data/ckpt/v6-cls-checkpoints/
+  pt-path: /kamco-nfs/ckpt/v6-cls-checkpoints/
   pt-FileName: yolov8_6th-6m.pt
-  dataset-response: /data/dataset/response/
+  dataset-response: /kamco-nfs/dataset/response/
 
 inference:
   url: http://127.0.0.1:8000/jobs
   batch-url: http://127.0.0.1:8000/batches
-  geojson-dir: /data/requests/                 # 학습서버에서 트레이닝한 모델업로드경로
-  jar-path: /data/repo/jar/shp-exporter.jar    # 추론실행을 위한 파일생성경로
+  geojson-dir: /kamco-nfs/requests/                 # 학습서버에서 트레이닝한 모델업로드경로
+  jar-path: /kamco-nfs/repo/jar/shp-exporter.jar    # 추론실행을 위한 파일생성경로
   inference-server-name: server1,server2,server3,server4
 
 gukyuin:
@@ -113,7 +113,7 @@ gukyuin:
   cdi: ${gukyuin.url}/api/kcd/cdi
 
 training-data:
-  geojson-dir: /data/dataset/request/
+  geojson-dir: /kamco-nfs/dataset/request/
 
 layer:
   geoserver-url: https://kamco.geo-dev.gs.dabeeo.com

gukyuin/label-send/src/main/java/com/kamco/cd/kamcoback/service/GukYuinApiLabelJobService.java

@@ -21,35 +21,33 @@ public class GukYuinApiLabelJobService {
   @Value("${spring.profiles.active}")
   private String profile;
 
-  /**
-   * 실행중인 profile
-   *
-   * @return
-   */
-  private boolean isLocalProfile() {
-    return "local".equalsIgnoreCase(profile);
-  }
-
-  //  @Scheduled(cron = "0 * * * * *")
   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());
       }

gukyuin/label-send/src/main/resources/application-prod.yml

@@ -84,28 +84,28 @@ mapsheet:
     baseurl: /app/detect/result #현재사용안함
 
 file:
-  sync-root-dir: /data/images/
-  sync-tmp-dir: /data/repo/tmp       # image upload temp dir
+  sync-root-dir: /kamco-nfs/images/
+  sync-tmp-dir: /kamco-nfs/repo/tmp       # image upload temp dir
   sync-file-extention: tfw,tif
 
-  #dataset-dir: D:/data/model_output/ #변경 model_output
-  dataset-dir: /data/model_output/export/  # 마운트경로 AI 추론결과
+  #dataset-dir: D:/kamco-nfs/model_output/ #변경 model_output
+  dataset-dir: /kamco-nfs/model_output/export/  # 마운트경로 AI 추론결과
   dataset-tmp-dir: ${file.dataset-dir}tmp/
 
-  #model-dir: D:/data/ckpt/model/
-  model-dir: /data/ckpt/model/             # 학습서버에서 트레이닝한 모델업로드경로
+  #model-dir: D:/kamco-nfs/ckpt/model/
+  model-dir: /kamco-nfs/ckpt/model/             # 학습서버에서 트레이닝한 모델업로드경로
   model-tmp-dir: ${file.model-dir}tmp/
   model-file-extention: pth,json,py
 
-  pt-path: /data/ckpt/v6-cls-checkpoints/
+  pt-path: /kamco-nfs/ckpt/v6-cls-checkpoints/
   pt-FileName: yolov8_6th-6m.pt
-  dataset-response: /data/dataset/response/
+  dataset-response: /kamco-nfs/dataset/response/
 
 inference:
   url: http://127.0.0.1:8000/jobs
   batch-url: http://127.0.0.1:8000/batches
-  geojson-dir: /data/requests/                 # 학습서버에서 트레이닝한 모델업로드경로
-  jar-path: /data/repo/jar/shp-exporter.jar    # 추론실행을 위한 파일생성경로
+  geojson-dir: /kamco-nfs/requests/                 # 학습서버에서 트레이닝한 모델업로드경로
+  jar-path: /kamco-nfs/repo/jar/shp-exporter.jar    # 추론실행을 위한 파일생성경로
   inference-server-name: server1,server2,server3,server4
 
 gukyuin:
@@ -113,7 +113,7 @@ gukyuin:
   cdi: ${gukyuin.url}/api/kcd/cdi
 
 training-data:
-  geojson-dir: /data/dataset/request/
+  geojson-dir: /kamco-nfs/dataset/request/
 
 layer:
   geoserver-url: https://kamco.geo-dev.gs.dabeeo.com