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[KC-99] 추론 완료 상세목록 수정

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[KC-103] 추론 완료 geom 테이블 등록 수정
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teddy
2026-01-15 18:40:51 +09:00
parent 197498f1a2
commit fcaa1d90ab
9 changed files with 312 additions and 182 deletions
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13
src/main/java/com/kamco/cd/kamcoback/inference/InferenceResultShpApiController.java
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@@ -37,10 +37,10 @@ public class InferenceResultShpApiController {
@ApiResponse(responseCode = "400", description = "잘못된 검색 조건", content = @Content),
@ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
})
@PostMapping("/save/{id}")
@PostMapping("/save/{learnId}")
public ApiResponseDto<InferenceResultShpDto.InferenceCntDto> saveInferenceData(
@PathVariable Long id) {
return ApiResponseDto.createOK(inferenceResultShpService.saveInferenceResultData(id));
@PathVariable Long learnId) {
return ApiResponseDto.createOK(inferenceResultShpService.saveInferenceResultData(learnId));
}
@Operation(summary = "shp 파일 생성", description = "shp 파일 생성")
@@ -56,8 +56,9 @@ public class InferenceResultShpApiController {
@ApiResponse(responseCode = "400", description = "잘못된 검색 조건", content = @Content),
@ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
})
@PostMapping("/create")
public ApiResponseDto<InferenceResultShpDto.FileCntDto> createShpFile() {
return ApiResponseDto.createOK(inferenceResultShpService.createShpFile());
@PostMapping("/create/{learnId}")
public ApiResponseDto<InferenceResultShpDto.FileCntDto> createShpFile(
@PathVariable Long learnId) {
return ApiResponseDto.createOK(inferenceResultShpService.createShpFile(learnId));
}
}

4
src/main/java/com/kamco/cd/kamcoback/inference/service/InferenceResultShpService.java
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@@ -35,7 +35,7 @@ public class InferenceResultShpService {
* <p>중간 실패 시 다음 실행에서 전체 재생성된다.
*/
@Transactional
public InferenceResultShpDto.FileCntDto createShpFile() {
public InferenceResultShpDto.FileCntDto createShpFile(Long learnId) {
// TODO 배치 실행으로 변경 필요
int batchSize = 100;
@@ -43,7 +43,7 @@ public class InferenceResultShpService {
WriteCnt total = WriteCnt.zero();
List<Long> dataUids = coreService.findPendingDataUids(batchSize);
List<Long> dataUids = coreService.findPendingDataUids(batchSize, learnId);
for (Long dataUid : dataUids) {