파일경로를 application.yml에서 가져올수있게 동적으로 처리 #100

Merged
dean merged 1 commits from feat/dean/change_nfs_root into develop 2026-02-26 11:49:50 +09:00
12 changed files with 361 additions and 421 deletions
Showing only changes of commit ee76389d6c - Show all commits

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@@ -279,7 +279,8 @@ public class FIleChecker {
return true;
}
public static List<Folder> getFolderAll(String dirPath, String sortType, int maxDepth) {
//kamco-nfs를 확인하는곳이 있어서 파라미터 추가 사용용도확인후 처리
public static List<Folder> getFolderAll(String dirPath, String sortType, int maxDepth,String nfsRootDir) {
Path startPath = Paths.get(dirPath);
@@ -308,8 +309,11 @@ public class FIleChecker {
String parentPath = path.getParent().toString();
String fullPath = path.toAbsolutePath().toString();
//이것이 필요한건가?
// boolean isShowHide =
// !parentFolderNm.equals("kamco-nfs"); // 폴더 리스트에 kamco-nfs 하위만 나오도록 처리
boolean isShowHide =
!parentFolderNm.equals("kamco-nfs"); // 폴더 리스트에 kamco-nfs 하위만 나오도록 처리
!parentFolderNm.equals(nfsRootDir); // 폴더 리스트에 nfsRootDir 하위만 나오도록 처리
File file = new File(fullPath);
int childCnt = getChildFolderCount(file);
String lastModified = getLastModified(file);
@@ -357,8 +361,8 @@ public class FIleChecker {
return folderList;
}
public static List<Folder> getFolderAll(String dirPath) {
return getFolderAll(dirPath, "name", 1);
public static List<Folder> getFolderAll(String dirPath,String nfsRootDir) {
return getFolderAll(dirPath, "name", 1,nfsRootDir);
}
public static int getChildFolderCount(File directory) {

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@@ -83,7 +83,7 @@ public class ChngDetectMastDto {
@Schema(
description = "탐지결과 절대경로명 /kamco_nas/export/{chnDtctId}",
example = "/kamco-nfs/dataset/export/D5F192EC76D34F6592035BE63A84F591")
example = "{file.nfs}/dataset/export/D5F192EC76D34F6592035BE63A84F591")
private String pathNm;
@Schema(description = "사원번호", example = "123456")

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@@ -66,8 +66,12 @@ public class GukYuinApiService {
@Value("${gukyuin.cdi}")
private String gukyuinCdiUrl;
@Value("${file.dataset-dir}")
private String datasetDir;
@Value("${file.nfs}")
private String nfs;
// @Value("${file.dataset-dir}")
// private String datasetDir;
@Transactional
public ChngDetectMastDto.RegistResDto regist(
@@ -453,7 +457,9 @@ public class GukYuinApiService {
return new ResponseObj(ApiResponseCode.DUPLICATE_DATA, "이미 국유인 연동을 한 회차입니다.");
}
if (!Files.isDirectory(Path.of("/kamco-nfs/dataset/export/" + info.getUid()))) {
// String kamconfsDatasetExportPathfsDatasetExportPath = "/kamco-nfs/dataset/export/";
String kamconfsDatasetExportPathfsDatasetExportPath = String.format("%s%s", nfs, "/dataset/export/");
if (!Files.isDirectory(Path.of(kamconfsDatasetExportPathfsDatasetExportPath + info.getUid()))) {
return new ResponseObj(
ApiResponseCode.NOT_FOUND_DATA, "파일 경로에 회차 실행 파일이 생성되지 않았습니다. 확인 부탁드립니다.");
}
@@ -468,7 +474,7 @@ public class GukYuinApiService {
reqDto.setCrtrYr(String.valueOf(info.getTargetYyyy()));
reqDto.setChnDtctSno(String.valueOf(maxStage + 1));
reqDto.setChnDtctId(info.getUid());
reqDto.setPathNm("/kamco-nfs/dataset/export/" + info.getUid());
reqDto.setPathNm(kamconfsDatasetExportPathfsDatasetExportPath + info.getUid());
// 1회차를 종료 상태로 처리하고 2회차를 보내야 함
// 추론(learn), 학습데이터(inference) 둘 다 종료 처리

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@@ -7,7 +7,9 @@ import lombok.Setter;
import lombok.ToString;
import lombok.extern.slf4j.Slf4j;
/** AI API 추론 실행 DTO */
/**
* AI API 추론 실행 DTO
*/
@Slf4j
@Getter
@Setter
@@ -16,9 +18,6 @@ import lombok.extern.slf4j.Slf4j;
@ToString
public class InferenceSendDto {
private static final String DEV_PATH_PREFIX = "kamco-nfs";
private static final String PROD_PATH_PREFIX = "data";
private pred_requests_areas pred_requests_areas;
private String model_version;
private String cd_model_path;
@@ -28,22 +27,6 @@ public class InferenceSendDto {
private String cd_model_type;
private Double priority;
// 프로덕션은 경로가 바뀜
public void changeValForProd() {
if (pred_requests_areas != null) {
pred_requests_areas.changeValForProd();
log.info("[CHANGE]pred_requests_areas={}", pred_requests_areas);
}
if (this.cd_model_path != null) {
this.cd_model_path = this.cd_model_path.replace(DEV_PATH_PREFIX, PROD_PATH_PREFIX);
}
if (this.cls_model_path != null) {
this.cls_model_path = this.cls_model_path.replace(DEV_PATH_PREFIX, PROD_PATH_PREFIX);
}
if (this.cd_model_config != null) {
this.cd_model_config = this.cd_model_config.replace(DEV_PATH_PREFIX, PROD_PATH_PREFIX);
}
}
@Getter
@Setter
@@ -57,18 +40,6 @@ public class InferenceSendDto {
private String input1_scene_path;
private String input2_scene_path;
public void changeValForProd() {
// ai팀에서 kamco-nfs를 data로 세팅했음
if (this.input1_scene_path != null) {
this.input1_scene_path =
this.input1_scene_path.replace(
InferenceSendDto.DEV_PATH_PREFIX, InferenceSendDto.PROD_PATH_PREFIX);
}
if (this.input2_scene_path != null) {
this.input2_scene_path =
this.input2_scene_path.replace(
InferenceSendDto.DEV_PATH_PREFIX, InferenceSendDto.PROD_PATH_PREFIX);
}
}
}
}

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@@ -460,7 +460,6 @@ public class InferenceResultService {
log.info("[CHANGE INFERENCE] profile = {} Inforence req", profile);
log.info("========================================================");
log.info("");
dto.changeValForProd();
}
// 1) 요청 로그
@@ -471,13 +470,13 @@ public class InferenceResultService {
}
// 2) local 환경 임시 처리
if ("local".equals(profile)) {
if (dto.getPred_requests_areas() == null) {
throw new IllegalStateException("pred_requests_areas is null");
}
dto.getPred_requests_areas().setInput1_scene_path("/kamco-nfs/requests/2023_local.geojson");
dto.getPred_requests_areas().setInput2_scene_path("/kamco-nfs/requests/2024_local.geojson");
}
// if ("local".equals(profile)) {
// if (dto.getPred_requests_areas() == null) {
// throw new IllegalStateException("pred_requests_areas is null");
// }
// dto.getPred_requests_areas().setInput1_scene_path("/kamco-nfs/requests/2023_local.geojson");
// dto.getPred_requests_areas().setInput2_scene_path("/kamco-nfs/requests/2024_local.geojson");
// }
// 3) HTTP 호출
HttpHeaders headers = new HttpHeaders();

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@@ -47,6 +47,10 @@ public class MapSheetMngService {
private final UploadService uploadService;
private final UserUtil userUtil = new UserUtil();
@Value("${file.root}")
private String nfsRootDir;
@Value("${file.sync-root-dir}")
private String syncRootDir;
@@ -111,7 +115,6 @@ public class MapSheetMngService {
public DmlReturn uploadPair(
MultipartFile tfwFile, String tifFile, Long hstUid, Long tifFileSize) {
String rootPath = syncRootDir;
String tmpPath = syncTmpDir;
DmlReturn dmlReturn = new DmlReturn("success", "UPLOAD COMPLETE");
@@ -133,6 +136,7 @@ public class MapSheetMngService {
return dmlReturn;
}
//TODO 삭제?
MngDto mngDto = mapSheetMngCoreService.findMapSheetMng(errDto.getMngYyyy());
// 중복체크 -> 도엽50k/uuid 경로에 업로드 할 거라 overwrite 되지 않음
@@ -340,7 +344,7 @@ public class MapSheetMngService {
log.info("[FIND_FOLDER] DIR : {}", dirPath);
List<FIleChecker.Folder> folderList =
FIleChecker.getFolderAll(dirPath).stream()
FIleChecker.getFolderAll(dirPath, nfsRootDir).stream()
.filter(dir -> dir.getIsValid().equals(true))
.toList();

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@@ -381,14 +381,6 @@ public class MapSheetInferenceJobService {
log.warn("not InferenceSendDto dto");
throw new CustomApiException("BAD_REQUEST", HttpStatus.BAD_REQUEST);
}
// [중복운영환경일때 경로수정 dean 260226
if (profile != null && profile.equals("prod")) {
log.info("========================================================");
log.info("[CHANGE INFERENCE] profile = {} Inforence req", profile);
log.info("========================================================");
log.info("");
dto.changeValForProd();
}
// 1) 요청 로그
log.info("");
@@ -397,13 +389,13 @@ public class MapSheetInferenceJobService {
log.info("========================================================");
log.info("");
// 2) local 환경 임시 처리
if ("local".equals(profile)) {
if (dto.getPred_requests_areas() == null) {
throw new IllegalStateException("pred_requests_areas is null");
}
dto.getPred_requests_areas().setInput1_scene_path("/kamco-nfs/requests/2023_local.geojson");
dto.getPred_requests_areas().setInput2_scene_path("/kamco-nfs/requests/2024_local.geojson");
}
// if ("local".equals(profile)) {
// if (dto.getPred_requests_areas() == null) {
// throw new IllegalStateException("pred_requests_areas is null");
// }
// dto.getPred_requests_areas().setInput1_scene_path("/kamco-nfs/requests/2023_local.geojson");
// dto.getPred_requests_areas().setInput2_scene_path("/kamco-nfs/requests/2024_local.geojson");
// }
// 3) HTTP 호출
HttpHeaders headers = new HttpHeaders();

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@@ -31,7 +31,7 @@ public class TrainingDataReviewJobService {
@Value("${spring.profiles.active}")
private String profile;
@Value("${training-data.geojson-dir}")
@Value("${file.training-data.geojson-dir}")
private String trainingDataDir;
private boolean isLocalProfile() {

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@@ -89,36 +89,17 @@ mapsheet:
shp:
baseurl: /app/tmp/detect/result #현재사용안함
file:
#sync-root-dir: D:/kamco-nfs/images/
sync-root-dir: /kamco-nfs/images/
sync-tmp-dir: /kamco-nfs/requests/temp # image upload temp dir
#sync-tmp-dir: ${file.sync-root-dir}/tmp
sync-file-extention: tfw,tif
# sync-auto-exception-start-year: 2024
# sync-auto-exception-before-year-cnt: 3
#dataset-dir: D:/kamco-nfs/model_output/
dataset-dir: /kamco-nfs/model_output/export/ # 마운트경로 AI 추론결과
dataset-tmp-dir: ${file.dataset-dir}tmp/
#model-dir: D:/kamco-nfs/ckpt/model/
model-dir: /kamco-nfs/ckpt/model/ # 학습서버에서 트레이닝한 모델업로드경로
model-tmp-dir: ${file.model-dir}tmp/
model-file-extention: pth,json,py
pt-path: /kamco-nfs/ckpt/model/v6-cls-checkpoints/
root: kamco-nfs
nfs: /kamco-nfs
pt-path: ${file.nfs}/ckpt/model/v6-cls-checkpoints/
pt-FileName: yolov8_6th-6m.pt
dataset-response: /kamco-nfs/dataset/response/
inference:
nfs: /kamco-nfs
url: http://192.168.2.183:8000/jobs
batch-url: http://192.168.2.183:8000/batches
geojson-dir: /kamco-nfs/requests/ # 추론실행을 위한 파일생성경로
jar-path: /kamco-nfs/repo/jar/shp-exporter.jar
jar-path: ${inference.nfs}/repo/jar/shp-exporter.jar
inference-server-name: server1,server2,server3,server4
gukyuin:
@@ -126,9 +107,6 @@ gukyuin:
url: http://192.168.2.129:5301
cdi: ${gukyuin.url}/api/kcd/cdi
training-data:
geojson-dir: /kamco-nfs/dataset/request/
layer:
geoserver-url: https://kamco.geo-dev.gs.dabeeo.com
wms-path: geoserver/cd

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@@ -67,34 +67,17 @@ mapsheet:
shp:
baseurl: /Users/bokmin/detect/result
file:
sync-root-dir: C:/Users/gypark/kamco-nfs/images/
#sync-root-dir: /kamco-nfs/images/
sync-tmp-dir: ${file.sync-root-dir}/tmp/
sync-file-extention: tfw,tif
# sync-auto-exception-start-year: 2025
# sync-auto-exception-before-year-cnt: 3
dataset-dir: C:/Users/gypark/kamco-nfs/dataset/
#dataset-dir: /kamco-nfs/dataset/export/
dataset-tmp-dir: ${file.dataset-dir}tmp/
model-dir: C:/Users/gypark/kamco-nfs/ckpt/model/
#model-dir: /kamco-nfs/ckpt/model/
model-tmp-dir: ${file.model-dir}tmp/
model-file-extention: pth,json,py
pt-path: /kamco-nfs/ckpt/classification/
root: kamco-nfs
nfs: C:/Users/gypark/kamco-nfs
pt-path: ${file.nfs}/ckpt/classification/
pt-FileName: v5-best.pt
dataset-response: /kamco-nfs/dataset/response/
inference:
nfs: C:/Users/gyparkkamco-nfs
url: http://10.100.0.11:8000/jobs
batch-url: http://10.100.0.11:8000/batches
geojson-dir: /kamco-nfs/requests/
jar-path: jar/makeshp-1.0.0.jar
jar-path: jar/shp-exporter.jar
inference-server-name: server1,server2,server3,server4
gukyuin:
@@ -102,9 +85,6 @@ gukyuin:
url: http://192.168.2.129:5301
cdi: ${gukyuin.url}/api/kcd/cdi
training-data:
geojson-dir: /kamco-nfs/model_output/labeling/
layer:
geoserver-url: https://kamco.geo-dev.gs.dabeeo.com
wms-path: geoserver/cd

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@@ -84,36 +84,23 @@ mapsheet:
baseurl: /app/detect/result #현재사용안함
file:
sync-root-dir: /kamco-nfs/images/
sync-tmp-dir: /kamco-nfs/repo/tmp # image upload temp dir
sync-file-extention: tfw,tif
#dataset-dir: D:/kamco-nfs/model_output/ #변경 model_output
dataset-dir: /kamco-nfs/model_output/export/ # 마운트경로 AI 추론결과
dataset-tmp-dir: ${file.dataset-dir}tmp/
#model-dir: D:/kamco-nfs/ckpt/model/
model-dir: /kamco-nfs/ckpt/model/ # 학습서버에서 트레이닝한 모델업로드경로
model-tmp-dir: ${file.model-dir}tmp/
model-file-extention: pth,json,py
pt-path: /kamco-nfs/ckpt/v6-cls-checkpoints/
root: data
nfs: /data
pt-path: ${file.nfs}/ckpt/model/v6-cls-checkpoints/
pt-FileName: yolov8_6th-6m.pt
dataset-response: /kamco-nfs/dataset/response/
inference:
url: http://127.0.0.1:8000/jobs
batch-url: http://127.0.0.1:8000/batches
geojson-dir: /kamco-nfs/requests/ # 학습서버에서 트레이닝한 모델업로드경로
jar-path: /kamco-nfs/repo/jar/shp-exporter.jar # 추론실행을 위한 파일생성경로
nfs: /data
url: http://172.16.4.56:8000/jobs
batch-url: http://172.16.4.56:8000/batches
jar-path: ${inference.nfs}/repo/jar/shp-exporter.jar
inference-server-name: server1,server2,server3,server4
gukyuin:
url: http://127.0.0.1:5301
cdi: ${gukyuin.url}/api/kcd/cdi
training-data:
geojson-dir: /kamco-nfs/dataset/request/
layer:
geoserver-url: https://kamco.geo-dev.gs.dabeeo.com

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@@ -67,3 +67,22 @@ management:
include:
- "health"
file:
root: kamco-nfs
nfs: /kamco-nfs
sync-root-dir: ${file.nfs}/images/
sync-tmp-dir: ${file.nfs}/requests/temp # image upload temp dir
sync-file-extention: tfw,tif
dataset-dir: ${file.nfs}/model_output/export/ # 마운트경로 AI 추론결과
dataset-tmp-dir: ${file.dataset-dir}tmp/
model-dir: ${file.nfs}/ckpt/model/ # 학습서버에서 트레이닝한 모델업로드경로
model-tmp-dir: ${file.model-dir}tmp/
model-file-extention: pth,json,py
pt-path: ${file.nfs}/ckpt/model/v6-cls-checkpoints/
dataset-response: ${file.nfs}/dataset/response/
training-data:
geojson-dir: ${file.nfs}/dataset/request/
inference:
nfs: /kamco-nfs
geojson-dir: ${inference.nfs}/requests/ # 추론실행을 위한 파일생성경로
jar-path: ${inference.nfs}/repo/jar/shp-exporter.jar