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

@@ -14,6 +14,9 @@ import lombok.ToString;
 @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;
@@ -23,12 +26,17 @@ public class InferenceSendDto {
   private String cd_model_type;
   private Double priority;
 
-  public String getCd_model_path() {
+  // 프로덕션은 경로가 바뀜
-    return cd_model_path == null ? null : cd_model_path.replace("kamcd-nfs", "data");
+  public void changeValForProd() {
-  }
+    if (pred_requests_areas != null) {
-
+      pred_requests_areas.changeValForProd();
-  public String getCls_model_path() {
+    }
-    return cls_model_path == null ? null : cls_model_path.replace("kamcd-nfs", "data");
+    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);
+    }
   }
 
   @Getter
@@ -43,13 +51,18 @@ public class InferenceSendDto {
     private String input1_scene_path;
     private String input2_scene_path;
 
-    public String getInput1_scene_path() {
+    public void changeValForProd() {
-
+      // ai팀에서 kamco-nfs를 data로 세팅했음
-      return input1_scene_path == null ? null : input1_scene_path.replace("kamcd-nfs", "data");
+      if (this.input1_scene_path != null) {
-    }
+        this.input1_scene_path =
-
+            this.input1_scene_path.replace(
-    public String getInput2_scene_path() {
+                InferenceSendDto.DEV_PATH_PREFIX, InferenceSendDto.PROD_PATH_PREFIX);
-      return input2_scene_path == null ? null : input2_scene_path.replace("kamcd-nfs", "data");
+      }
+      if (this.input2_scene_path != null) {
+        this.input2_scene_path =
+            this.input2_scene_path.replace(
+                InferenceSendDto.DEV_PATH_PREFIX, InferenceSendDto.PROD_PATH_PREFIX);
+      }
     }
   }
 }

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

@@ -713,6 +713,14 @@ public class InferenceResultService {
     sendDto.setCls_model_version(modelInfo.getModelVer());
     sendDto.setCd_model_type(modelType);
     sendDto.setPriority(5d);
+
+    // 운영환경일때 경로수정 dean 260226
+    if (profile != null && profile.equals("prod")) {
+      log.info("profile = {} change inforence req", profile);
+      sendDto.changeValForProd();
+    }
+
+    log.info("[Inference Send]SendDto={}", sendDto);
     return sendDto;
   }
 

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

@@ -0,0 +1,229 @@
+package com.kamco.cd.kamcoback.inference.service;
+
+import com.fasterxml.jackson.core.JsonProcessingException;
+import com.fasterxml.jackson.core.type.TypeReference;
+import com.fasterxml.jackson.databind.ObjectMapper;
+import com.kamco.cd.kamcoback.common.exception.CustomApiException;
+import com.kamco.cd.kamcoback.common.geometry.GeoJsonFileWriter.Scene;
+import com.kamco.cd.kamcoback.config.resttemplate.ExternalHttpClient;
+import com.kamco.cd.kamcoback.config.resttemplate.ExternalHttpClient.ExternalCallResult;
+import com.kamco.cd.kamcoback.inference.dto.InferenceSendDto;
+import com.kamco.cd.kamcoback.inference.dto.InferenceSendDto.pred_requests_areas;
+import com.kamco.cd.kamcoback.model.dto.ModelMngDto.Basic;
+import com.kamco.cd.kamcoback.model.dto.ModelMngDto.ModelType;
+import com.kamco.cd.kamcoback.postgres.core.MapSheetMngCoreService;
+import com.kamco.cd.kamcoback.postgres.core.ModelMngCoreService;
+import java.nio.file.Paths;
+import java.util.HashSet;
+import java.util.List;
+import java.util.Map;
+import java.util.Set;
+import java.util.UUID;
+import lombok.RequiredArgsConstructor;
+import lombok.extern.log4j.Log4j2;
+import org.springframework.beans.factory.annotation.Value;
+import org.springframework.http.HttpHeaders;
+import org.springframework.http.HttpMethod;
+import org.springframework.http.HttpStatus;
+import org.springframework.http.MediaType;
+import org.springframework.stereotype.Service;
+
+@Service
+@Log4j2
+@RequiredArgsConstructor
+public class InferenceRunService {
+  private final ExternalHttpClient externalHttpClient;
+  private final MapSheetMngCoreService mapSheetMngCoreService;
+  private final ModelMngCoreService modelMngCoreService;
+  private final ObjectMapper objectMapper;
+
+  @Value("${spring.profiles.active}")
+  private String profile;
+
+  @Value("${inference.url}")
+  private String inferenceUrl;
+
+  public void run(Integer compareYear, Integer targetYear, UUID modelUuid) {
+
+    List<String> compareList = mapSheetMngCoreService.getMapSheetMngHst(compareYear);
+    List<String> targetList = mapSheetMngCoreService.getMapSheetMngHst(targetYear);
+
+    log.info(
+        "hst list count compareList = {}, targetList = {}", compareList.size(), targetList.size());
+
+    Set<String> compareSet = new HashSet<>(compareList);
+    Set<String> targetSet = new HashSet<>(targetList);
+
+    long intersectionCount =
+        targetSet.stream()
+            .distinct()
+            .filter(compareSet::contains)
+            .count(); // compare와 target에 공통으로 존재하는 도협 수
+
+    long excludedTargetCount =
+        targetSet.stream()
+            .distinct()
+            .filter(s -> !compareSet.contains(s))
+            .count(); // target 에만 존재하는 도협 수 (compare 에는 없음)
+
+    long onlyCompareCount =
+        compareSet.stream()
+            .distinct()
+            .filter(s -> !targetSet.contains(s))
+            .count(); // compare 에만 존재하는 도협 수 (target 에는 없음)
+
+    log.info(
+        """
+      ===== MapSheet Year Comparison =====
+      target Total: {}
+      compare Total: {}
+      Intersection: {}
+      target Only (Excluded from compare): {}
+      compare Only: {}
+      ====================================
+      """,
+        targetSet.size(),
+        compareSet.size(),
+        intersectionCount,
+        excludedTargetCount,
+        onlyCompareCount);
+
+    List<String> filteredTargetList =
+        targetSet.stream() // target 기준으로
+            .filter(compareSet::contains) // compare에 있는 도협만 남김
+            .toList();
+
+    Scene modelComparePath = getSceneInference(compareYear.toString(), filteredTargetList, "", "");
+
+    Scene modelTargetPath = getSceneInference(targetYear.toString(), filteredTargetList, "", "");
+
+    // ai 서버에 전달할 파라미터 생성
+    pred_requests_areas predRequestsAreas = new pred_requests_areas();
+    predRequestsAreas.setInput1_year(compareYear);
+    predRequestsAreas.setInput2_year(targetYear);
+    predRequestsAreas.setInput1_scene_path(modelComparePath.getFilePath());
+    predRequestsAreas.setInput2_scene_path(modelTargetPath.getFilePath());
+
+    InferenceSendDto m1 = this.getModelInfo(modelUuid);
+    m1.setPred_requests_areas(predRequestsAreas);
+
+    // ai 추론 실행 api 호출
+    Long batchId = ensureAccepted(m1);
+  }
+
+  private Scene getSceneInference(
+      String yyyy, List<String> mapSheetNums, String mapSheetScope, String detectOption) {
+    return mapSheetMngCoreService.getSceneInference(
+        yyyy, mapSheetNums, mapSheetScope, detectOption);
+  }
+
+  /**
+   * 추론 AI API 호출
+   *
+   * @param dto
+   */
+  private Long ensureAccepted(InferenceSendDto dto) {
+
+    if (dto == null) {
+      log.warn("not InferenceSendDto dto");
+      throw new CustomApiException("BAD_REQUEST", HttpStatus.BAD_REQUEST);
+    }
+
+    // 1) 요청 로그
+    try {
+      log.debug("Inference request dto={}", objectMapper.writeValueAsString(dto));
+    } catch (JsonProcessingException e) {
+      log.warn("Failed to serialize inference dto", e);
+    }
+
+    // 3) HTTP 호출
+    HttpHeaders headers = new HttpHeaders();
+    headers.setContentType(MediaType.APPLICATION_JSON);
+    headers.setAccept(List.of(MediaType.APPLICATION_JSON));
+
+    ExternalCallResult<String> result =
+        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());
+      throw new CustomApiException("BAD_GATEWAY", HttpStatus.BAD_GATEWAY);
+    }
+
+    // 4) 응답 파싱
+    try {
+      List<Map<String, Object>> list =
+          objectMapper.readValue(result.body(), new TypeReference<>() {});
+
+      if (list.isEmpty()) {
+        throw new IllegalStateException("Inference response is empty");
+      }
+
+      Object batchIdObj = list.get(0).get("batch_id");
+      if (batchIdObj == null) {
+        throw new IllegalStateException("batch_id not found in response");
+      }
+
+      return Long.valueOf(batchIdObj.toString());
+
+    } catch (Exception e) {
+      log.error("Failed to parse inference response. body={}", result.body(), e);
+      throw new CustomApiException("INVALID_INFERENCE_RESPONSE", HttpStatus.BAD_GATEWAY);
+    }
+  }
+
+  /**
+   * 모델정보 조회 dto 생성 후 반환
+   *
+   * @param uuid
+   * @return
+   */
+  private InferenceSendDto getModelInfo(UUID uuid) {
+
+    Basic modelInfo = modelMngCoreService.findByModelUuid(uuid);
+
+    String cdModelPath = "";
+    String cdModelConfigPath = "";
+    String cdClsModelPath = "";
+
+    if (modelInfo.getCdModelPath() != null && modelInfo.getCdModelFileName() != null) {
+      cdModelPath =
+          Paths.get(modelInfo.getCdModelPath(), modelInfo.getCdModelFileName()).toString();
+    }
+
+    if (modelInfo.getCdModelConfig() != null && modelInfo.getCdModelConfigFileName() != null) {
+      cdModelConfigPath =
+          Paths.get(modelInfo.getCdModelConfig(), modelInfo.getCdModelConfigFileName()).toString();
+    }
+
+    if (modelInfo.getClsModelPath() != null && modelInfo.getClsModelFileName() != null) {
+      cdClsModelPath =
+          Paths.get(modelInfo.getClsModelPath(), modelInfo.getClsModelFileName()).toString();
+    }
+
+    String modelType = "";
+
+    if (modelInfo.getModelType().equals(ModelType.G1.getId())) {
+      modelType = ModelType.G1.getId();
+    } else if (modelInfo.getModelType().equals(ModelType.G2.getId())) {
+      modelType = ModelType.G2.getId();
+    } else {
+      modelType = ModelType.G3.getId();
+    }
+
+    InferenceSendDto sendDto = new InferenceSendDto();
+    sendDto.setModel_version(modelInfo.getModelVer());
+    sendDto.setCd_model_path(cdModelPath);
+    sendDto.setCd_model_config(cdModelConfigPath);
+    sendDto.setCls_model_path(cdClsModelPath);
+    sendDto.setCls_model_version(modelInfo.getModelVer());
+    sendDto.setCd_model_type(modelType);
+    sendDto.setPriority(5.0);
+    // 운영환경일때 경로수정 dean 260226
+    if (profile != null && profile.equals("prod")) {
+      log.info("profile = {} change inforence req", profile);
+      sendDto.changeValForProd();
+    }
+
+    return sendDto;
+  }
+}

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

@@ -355,8 +355,12 @@ public class MapSheetInferenceJobService {
     m.setCls_model_version(progressDto.getClsModelVersion());
     m.setCd_model_type(type);
     m.setPriority(5d);
-
+    // 운영환경일때 경로수정 dean 260226
-    //    log.info("InferenceSendDto={}", m);
+    if (profile != null && profile.equals("prod")) {
+      log.info("profile = {} [M]change inforence req", profile);
+      m.changeValForProd();
+    }
+    log.info("[Inference]SendDto={}", m);
     // 추론 실행 api 호출
     Long batchId = ensureAccepted(m);