[KC-108] ai api batch 작업중

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

@@ -1,8 +1,19 @@
 package com.kamco.cd.kamcoback.scheduler.service;
 
+import com.fasterxml.jackson.core.JsonProcessingException;
+import com.fasterxml.jackson.databind.ObjectMapper;
+import com.kamco.cd.kamcoback.config.resttemplate.ExternalHttpClient;
+import com.kamco.cd.kamcoback.config.resttemplate.ExternalHttpClient.ExternalCallResult;
+import com.kamco.cd.kamcoback.inference.dto.InferenceResultDto.Status;
 import com.kamco.cd.kamcoback.postgres.core.InferenceResultCoreService;
+import com.kamco.cd.kamcoback.scheduler.dto.JobStatusDto;
+import java.util.List;
 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.MediaType;
 import org.springframework.scheduling.annotation.Scheduled;
 import org.springframework.stereotype.Service;
 
@@ -12,6 +23,12 @@ import org.springframework.stereotype.Service;
 public class MapSheetInferenceJobService {
 
   private final InferenceResultCoreService inferenceResultCoreService;
+  private final ExternalHttpClient externalHttpClient;
+
+  private final ObjectMapper objectMapper;
+
+  @Value("${inference.batch-url}")
+  private String batchUrl;
 
   @Scheduled(fixedDelay = 60_000)
   public void runBatch() {
@@ -19,8 +36,36 @@ public class MapSheetInferenceJobService {
 
     try {
       // TODO: 배치 로직 작성
+
+      Long batchId =
+          inferenceResultCoreService.getInferenceResultByStatus(Status.IN_PROGRESS.getId());
+
+      if (batchId == null) {
+        return;
+      }
+
+      HttpHeaders headers = new HttpHeaders();
+      headers.setContentType(MediaType.APPLICATION_JSON);
+      headers.setAccept(List.of(MediaType.APPLICATION_JSON));
+
+      String url = batchUrl + "/" + batchId;
+
+      ExternalCallResult<String> result =
+          externalHttpClient.call(url, HttpMethod.GET, null, headers, String.class);
+
+      int status = result.statusCode();
+      if (status < 200 || status >= 300) {
+        return;
+      }
+
+      String json = result.body();
+      JobStatusDto dto = objectMapper.readValue(json, JobStatusDto.class);
+
+      System.out.println(dto);
+
       Thread.sleep(3000); // 예시: 처리 시간 3초
-    } catch (InterruptedException e) {
+
+    } catch (InterruptedException | JsonProcessingException e) {
       Thread.currentThread().interrupt();
       log.error("배치 중 인터럽트 발생", e);
     }