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[KC-103] spot less 적용

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teddy
2026-01-14 15:24:45 +09:00
parent d417972a5a
commit 1ae69e5665
4 changed files with 161 additions and 186 deletions
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35
src/main/java/com/kamco/cd/kamcoback/scheduler/service/MapSheetInferenceJobService.java
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@@ -47,9 +47,7 @@ public class MapSheetInferenceJobService {
@Value("${inference.url}")
private String inferenceUrl;
/**
* 추론 진행 배치 1분
*/
/** 추론 진행 배치 1분 */
@Scheduled(fixedDelay = 60_000)
@Transactional
public void runBatch() {
@@ -132,7 +130,7 @@ public class MapSheetInferenceJobService {
String url = batchUrl + "/" + batchId;
ExternalCallResult<String> result =
externalHttpClient.call(url, HttpMethod.GET, null, jsonHeaders(), String.class);
externalHttpClient.call(url, HttpMethod.GET, null, jsonHeaders(), String.class);
int status = result.statusCode();
if (status < 200 || status >= 300) {
@@ -266,23 +264,28 @@ public class MapSheetInferenceJobService {
// 추론 실행 api 파라미터 조회
InferenceProgressDto progressDto =
inferenceResultCoreService.getInferenceAiResultById(id, modelUuid);
inferenceResultCoreService.getInferenceAiResultById(id, modelUuid);
// ai 에 맞는 모델 명으로 변경
String inferenceType = modelToInferenceType(type);
InferenceSendDto.pred_requests_areas predRequestsAreas = new InferenceSendDto.pred_requests_areas();
InferenceSendDto.pred_requests_areas predRequestsAreas =
new InferenceSendDto.pred_requests_areas();
predRequestsAreas.setInput1_year(progressDto.getPred_requests_areas().getInput1_year());
predRequestsAreas.setInput2_year(progressDto.getPred_requests_areas().getInput2_year());
predRequestsAreas.setInput1_scene_path(progressDto.getPred_requests_areas().getInput1_scene_path());
predRequestsAreas.setInput2_scene_path(progressDto.getPred_requests_areas().getInput2_scene_path());
predRequestsAreas.setInput1_scene_path(
progressDto.getPred_requests_areas().getInput1_scene_path());
predRequestsAreas.setInput2_scene_path(
progressDto.getPred_requests_areas().getInput2_scene_path());
InferenceSendDto m = new InferenceSendDto();
m.setPred_requests_areas(predRequestsAreas);
m.setModel_version(progressDto.getModelVersion());
m.setCd_model_path(progressDto.getCdModelPath() + "/" + progressDto.getCdModelFileName());
m.setCd_model_config(progressDto.getCdModelConfigPath() + "/" + progressDto.getCdModelConfigFileName());
m.setCls_model_path(progressDto.getCdModelClsPath() + "/" + progressDto.getCdModelClsFileName());
m.setCd_model_config(
progressDto.getCdModelConfigPath() + "/" + progressDto.getCdModelConfigFileName());
m.setCls_model_path(
progressDto.getCdModelClsPath() + "/" + progressDto.getCdModelClsFileName());
m.setCls_model_version(progressDto.getClsModelVersion());
m.setCd_model_type(inferenceType);
m.setPriority(progressDto.getPriority());
@@ -353,7 +356,7 @@ public class MapSheetInferenceJobService {
headers.setAccept(List.of(MediaType.APPLICATION_JSON));
ExternalCallResult<String> result =
externalHttpClient.call(inferenceUrl, HttpMethod.POST, dto, headers, String.class);
externalHttpClient.call(inferenceUrl, HttpMethod.POST, dto, headers, String.class);
if (result.statusCode() < 200 || result.statusCode() >= 300) {
log.error("Inference API failed. status={}, body={}", result.statusCode(), result.body());
@@ -363,8 +366,7 @@ public class MapSheetInferenceJobService {
// 4) 응답 파싱
try {
List<Map<String, Object>> list =
objectMapper.readValue(result.body(), new TypeReference<>() {
});
objectMapper.readValue(result.body(), new TypeReference<>() {});
if (list.isEmpty()) {
throw new IllegalStateException("Inference response is empty");
@@ -392,10 +394,9 @@ public class MapSheetInferenceJobService {
return "local".equalsIgnoreCase(profile);
}
/**
* 모델별 추론 종료 update
*/
private void updateProcessingEndTimeByModel(JobStatusDto dto, UUID uuid, ZonedDateTime dateTime, String type) {
/** 모델별 추론 종료 update */
private void updateProcessingEndTimeByModel(
JobStatusDto dto, UUID uuid, ZonedDateTime dateTime, String type) {
SaveInferenceAiDto saveInferenceAiDto = new SaveInferenceAiDto();
saveInferenceAiDto.setUuid(uuid);
saveInferenceAiDto.setUpdateUid(0L);