Merge pull request 'feat/infer_dev_260107' (#224) from feat/infer_dev_260107 into develop

Reviewed-on: https://kamco.gitea.gs.dabeeo.com/dabeeo/kamco-dabeeo-backoffice/pulls/224

src/main/java/com/kamco/cd/kamcoback/inference/InferenceResultApiController.java

@@ -84,14 +84,14 @@ public class InferenceResultApiController {
                     mediaType = "application/json",
                     schema =
                         @Schema(
-                            description = "진행 여부 (Y: 진행중, N: 없음)",
-                            type = "string",
-                            example = "N"))),
+                            description = "진행 여부 (UUID 있으면 진행중)",
+                            type = "UUID",
+                            example = "44709877-2e27-4fc5-bacb-8e0328c69b64"))),
         @ApiResponse(responseCode = "400", description = "잘못된 검색 조건", content = @Content),
         @ApiResponse(responseCode = "500", description = "서버 오류", content = @Content)
       })
   @GetMapping("/processing-yn")
-  public ApiResponseDto<String> getProcessing() {
+  public ApiResponseDto<UUID> getProcessing() {
     return ApiResponseDto.ok(inferenceResultService.getProcessing());
   }
 

src/main/java/com/kamco/cd/kamcoback/inference/dto/InferenceResultDto.java

@@ -460,5 +460,6 @@ public class InferenceResultDto {
     private ZonedDateTime modelStartDttm;
     private ZonedDateTime modelEndDttm;
     private Long updateUid;
+    private String runningModelType;
   }
 }

src/main/java/com/kamco/cd/kamcoback/inference/service/InferenceResultService.java

@@ -79,7 +79,7 @@ public class InferenceResultService {
    *
    * @return
    */
-  public String getProcessing() {
+  public UUID getProcessing() {
     return inferenceResultCoreService.getProcessing();
   }
 

src/main/java/com/kamco/cd/kamcoback/postgres/core/InferenceResultCoreService.java

@@ -347,7 +347,7 @@ public class InferenceResultCoreService {
    *
    * @return
    */
-  public String getProcessing() {
+  public UUID getProcessing() {
     return mapSheetLearnRepository.getProcessing();
   }
 }

src/main/java/com/kamco/cd/kamcoback/postgres/repository/Inference/MapSheetLearnRepositoryCustom.java

@@ -24,5 +24,5 @@ public interface MapSheetLearnRepositoryCustom {
 
   InferenceStatusDetailDto getInferenceStatus(UUID uuid);
 
-  String getProcessing();
+  UUID getProcessing();
 }

src/main/java/com/kamco/cd/kamcoback/postgres/repository/Inference/MapSheetLearnRepositoryImpl.java

@@ -232,16 +232,11 @@ public class MapSheetLearnRepositoryImpl implements MapSheetLearnRepositoryCusto
    *
    * @return
    */
-  public String getProcessing() {
-    Long processing =
-        queryFactory
-            .select(mapSheetLearnEntity.count())
-            .from(mapSheetLearnEntity)
-            .where(mapSheetLearnEntity.status.eq("IN_PROGRESS"))
-            .fetchOne();
-    if (Long.valueOf(0L).equals(processing)) {
-      return "N";
-    }
-    return "Y";
+  public UUID getProcessing() {
+    return queryFactory
+        .select(mapSheetLearnEntity.uuid)
+        .from(mapSheetLearnEntity)
+        .where(mapSheetLearnEntity.status.eq("IN_PROGRESS"))
+        .fetchOne();
   }
 }

src/main/java/com/kamco/cd/kamcoback/scheduler/service/MapSheetInferenceJobService.java

@@ -54,7 +54,7 @@ public class MapSheetInferenceJobService {
   public void runBatch() {
 
     if ("local".equalsIgnoreCase(profile)) {
-      //      return;
+      return;
     }
 
     try {
@@ -176,7 +176,7 @@ public class MapSheetInferenceJobService {
     m.setCls_model_path(
         progressDto.getCdModelClsPath() + "/" + progressDto.getCdModelClsFileName());
     m.setCls_model_version(progressDto.getClsModelVersion());
-    m.setCd_model_type(inferenceType);
+    m.setCd_model_type(type);
     m.setPriority(progressDto.getPriority());
 
     // 추론 다음모델 실행
@@ -188,6 +188,7 @@ public class MapSheetInferenceJobService {
     saveInferenceAiDto.setStatus(Status.IN_PROGRESS.getId());
     saveInferenceAiDto.setType(type);
     saveInferenceAiDto.setModelStartDttm(ZonedDateTime.now());
+    saveInferenceAiDto.setRunningModelType(inferenceType);
     inferenceResultCoreService.update(saveInferenceAiDto);
   }