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[KC-108] ai api batch 작업중

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teddy
2026-01-12 22:28:38 +09:00
parent 49f2efeb1e
commit 2b8af3215d
9 changed files with 557 additions and 360 deletions
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79
src/main/java/com/kamco/cd/kamcoback/inference/service/InferenceResultService.java
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@@ -96,7 +96,7 @@ public class InferenceResultService {
// 기준년도 조회
List<MngListDto> targetList =
mapSheetMngCoreService.getHstMapSheetList(req.getTargetYyyy(), mapTargetIds);
mapSheetMngCoreService.getHstMapSheetList(req.getTargetYyyy(), mapTargetIds);
req.setMapSheetNum(this.createdMngDto(req, targetList));
}
@@ -109,19 +109,19 @@ public class InferenceResultService {
// 비교년도 탐지 제이터 옵션 별로 조회하여 req에 적용
private List<MapSheetNumDto> createdMngDto(
InferenceResultDto.RegReq req, List<MngListDto> targetList) {
InferenceResultDto.RegReq req, List<MngListDto> targetList) {
List<String> mapTargetIds = new ArrayList<>();
targetList.forEach(
hstMapSheet -> {
// 비교년도는 target 년도 기준으로 가져옴 파라미터 만들기
mapTargetIds.add(hstMapSheet.getMapSheetNum());
});
hstMapSheet -> {
// 비교년도는 target 년도 기준으로 가져옴 파라미터 만들기
mapTargetIds.add(hstMapSheet.getMapSheetNum());
});
// 비교년도 조회
List<String> mapCompareIds = new ArrayList<>();
List<MngListCompareDto> compareList =
mapSheetMngCoreService.getByHstMapSheetCompareList(req.getCompareYyyy(), mapTargetIds);
mapSheetMngCoreService.getByHstMapSheetCompareList(req.getCompareYyyy(), mapTargetIds);
for (MngListCompareDto dto : compareList) {
// 추론 제외일때 이전년도 파일이 없으면 제외
@@ -136,35 +136,35 @@ public class InferenceResultService {
}
Set<String> compareSet =
mapCompareIds.stream()
.filter(Objects::nonNull)
.map(String::trim) // 공백/개행 방지
.collect(Collectors.toSet());
mapCompareIds.stream()
.filter(Objects::nonNull)
.map(String::trim) // 공백/개행 방지
.collect(Collectors.toSet());
// target 기준 compare 비교하여 서로 있는것만 저장
List<String> commonIds =
mapTargetIds.stream()
.filter(Objects::nonNull)
.map(String::trim)
.filter(compareSet::contains)
.toList();
mapTargetIds.stream()
.filter(Objects::nonNull)
.map(String::trim)
.filter(compareSet::contains)
.toList();
Set<String> commonIdSet =
commonIds.stream().filter(Objects::nonNull).map(String::trim).collect(Collectors.toSet());
commonIds.stream().filter(Objects::nonNull).map(String::trim).collect(Collectors.toSet());
// 저장하기위해 파라미터 다시 구성
List<MapSheetNumDto> mapSheetNum =
targetList.stream()
.filter(dto -> dto.getMapSheetNum() != null)
.filter(dto -> commonIdSet.contains(dto.getMapSheetNum().trim()))
.map(
dto -> {
MapSheetNumDto mapSheetNumDto = new MapSheetNumDto();
mapSheetNumDto.setMapSheetNum(dto.getMapSheetNum());
mapSheetNumDto.setMapSheetName(dto.getMapSheetName());
return mapSheetNumDto;
})
.toList();
targetList.stream()
.filter(dto -> dto.getMapSheetNum() != null)
.filter(dto -> commonIdSet.contains(dto.getMapSheetNum().trim()))
.map(
dto -> {
MapSheetNumDto mapSheetNumDto = new MapSheetNumDto();
mapSheetNumDto.setMapSheetNum(dto.getMapSheetNum());
mapSheetNumDto.setMapSheetName(dto.getMapSheetName());
return mapSheetNumDto;
})
.toList();
return mapSheetNum;
}
@@ -184,9 +184,9 @@ public class InferenceResultService {
}
String modelComparePath =
this.getSceneInference(String.valueOf(req.getCompareYyyy()), mapSheetNumList);
this.getSceneInference(String.valueOf(req.getCompareYyyy()), mapSheetNumList);
String modelTargetPath =
this.getSceneInference(String.valueOf(req.getTargetYyyy()), mapSheetNumList);
this.getSceneInference(String.valueOf(req.getTargetYyyy()), mapSheetNumList);
pred_requests_areas predRequestsAreas = new pred_requests_areas();
predRequestsAreas.setInput1_year(req.getCompareYyyy());
@@ -212,6 +212,7 @@ public class InferenceResultService {
saveInferenceAiDto.setInferStartDttm(ZonedDateTime.now());
saveInferenceAiDto.setModelComparePath(modelComparePath);
saveInferenceAiDto.setModelTargetPath(modelTargetPath);
saveInferenceAiDto.setModelStartDttm(ZonedDateTime.now());
inferenceResultCoreService.update(saveInferenceAiDto);
}
@@ -240,7 +241,7 @@ public class InferenceResultService {
}
ExternalCallResult<String> result =
externalHttpClient.call(inferenceUrl, HttpMethod.POST, dto, headers, String.class);
externalHttpClient.call(inferenceUrl, HttpMethod.POST, dto, headers, String.class);
int status = result.statusCode();
String body = result.body();
@@ -253,7 +254,8 @@ public class InferenceResultService {
try {
List<Map<String, Object>> list =
om.readValue(body, new TypeReference<List<Map<String, Object>>>() {});
om.readValue(body, new TypeReference<List<Map<String, Object>>>() {
});
Integer batchIdInt = (Integer) list.get(0).get("batch_id");
batchId = batchIdInt.longValue();
@@ -352,7 +354,7 @@ public class InferenceResultService {
* @return
*/
public Page<InferenceDetailDto.Geom> getInferenceResultGeomList(
Long id, InferenceDetailDto.SearchGeoReq searchGeoReq) {
Long id, InferenceDetailDto.SearchGeoReq searchGeoReq) {
return inferenceResultCoreService.getInferenceResultGeomList(id, searchGeoReq);
}
@@ -363,7 +365,7 @@ public class InferenceResultService {
* @return
*/
public Page<InferenceDetailDto.DetailListEntity> listInferenceResultWithGeom(
@NotNull Long id, InferenceDetailDto.SearchGeoReq searchReq) {
@NotNull Long id, InferenceDetailDto.SearchGeoReq searchReq) {
return inferenceResultCoreService.listInferenceResultWithGeom(id, searchReq);
}
@@ -408,12 +410,15 @@ public class InferenceResultService {
public InferenceStatusDetailDto getInferenceStatus(UUID uuid) {
List<InferenceServerStatusDto> servers =
inferenceResultCoreService.getInferenceServerStatusList();
inferenceResultCoreService.getInferenceServerStatusList();
String serverNames = "";
for (InferenceServerStatusDto server : servers) {
if (serverNames.equals("")) serverNames = server.getServerName();
else serverNames = serverNames + "," + server.getServerName();
if (serverNames.equals("")) {
serverNames = server.getServerName();
} else {
serverNames = serverNames + "," + server.getServerName();
}
}
InferenceStatusDetailDto dto = inferenceResultCoreService.getInferenceStatus(uuid);