init

src/main/resources/application-dev.yml

@@ -0,0 +1,51 @@
+spring:
+  config:
+    activate:
+      on-profile: dev
+
+  jpa:
+    show-sql: true
+    hibernate:
+      ddl-auto: validate
+    properties:
+      hibernate:
+        default_batch_fetch_size: 100     # ✅ 성능 - N+1 쿼리 방지
+        order_updates: true               # ✅ 성능 - 업데이트 순서 정렬로 데드락 방지
+        use_sql_comments: true            # ⚠️ 선택 - SQL에 주석 추가 (디버깅용)
+        format_sql: true                  # ⚠️ 선택 - SQL 포맷팅 (가독성)
+
+  datasource:
+    url: jdbc:postgresql://192.168.2.127:15432/kamco_training_db
+#   url: jdbc:postgresql://localhost:15432/kamco_training_db
+    username: kamco_training_user
+    password: kamco_training_user_2025_!@#
+    hikari:
+      minimum-idle: 10
+      maximum-pool-size: 20
+      connection-timeout: 60000        # 60초 연결 타임아웃
+      idle-timeout: 300000            # 5분 유휴 타임아웃
+      max-lifetime: 1800000           # 30분 최대 수명
+      leak-detection-threshold: 60000  # 연결 누수 감지
+
+  transaction:
+    default-timeout: 300              # 5분 트랜잭션 타임아웃
+
+
+jwt:
+  secret: "kamco_token_dev_dfc6446d-68fc-4eba-a2ff-c80a14a0bf3a"
+  access-token-validity-in-ms: 86400000      # 1일
+  refresh-token-validity-in-ms: 604800000    # 7일
+
+token:
+  refresh-cookie-name: kamco-dev   # 개발용 쿠키 이름
+  refresh-cookie-secure: false   # 로컬 http 테스트면 false
+
+springdoc:
+  swagger-ui:
+    persist-authorization: true # 스웨거 새로고침해도 토큰 유지, 로컬스토리지에 저장
+
+member:
+  init_password: kamco1234!
+
+swagger:
+  local-port: 9080

src/main/resources/application-prod.yml

@@ -0,0 +1,37 @@
+spring:
+  config:
+    activate:
+      on-profile: prod
+
+  jpa:
+    show-sql: false
+    hibernate:
+      ddl-auto: validate
+    properties:
+      hibernate:
+        default_batch_fetch_size: 100     # ✅ 성능 - N+1 쿼리 방지
+        order_updates: true               # ✅ 성능 - 업데이트 순서 정렬로 데드락 방지
+        use_sql_comments: true            # ⚠️ 선택 - SQL에 주석 추가 (디버깅용)
+
+  datasource:
+    url: jdbc:postgresql://10.100.0.10:25432/temp
+    username: temp
+    password: temp123!
+    hikari:
+      minimum-idle: 10
+      maximum-pool-size: 20
+
+jwt:
+  secret: "kamco_token_prod_dfc6446d-68fc-4eba-a2ff-c80a14a0bf3a"
+  access-token-validity-in-ms: 86400000      # 1일
+  refresh-token-validity-in-ms: 604800000    # 7일
+
+token:
+  refresh-cookie-name: kamco   # 개발용 쿠키 이름
+  refresh-cookie-secure: true   # 로컬 http 테스트면 false
+
+member:
+  init_password: kamco1234!
+
+swagger:
+  local-port: 9080

src/main/resources/application.yml

@@ -0,0 +1,106 @@
+server:
+  port: 8080
+
+spring:
+  application:
+    name: kamco-training-api
+  profiles:
+    active: dev  # 사용할 프로파일 지정 (ex. dev, prod, test)
+
+  datasource:
+    driver-class-name: org.postgresql.Driver
+    hikari:
+      jdbc:
+        time_zone: UTC
+        batch_size: 50
+      # 권장 설정
+      minimum-idle: 2
+      maximum-pool-size: 2
+      connection-timeout: 20000
+      idle-timeout: 300000
+      max-lifetime: 1800000
+      leak-detection-threshold: 60000
+
+  data:
+    redis:
+      host: localhost
+      port: 6379
+      password:
+  jpa:
+    hibernate:
+      ddl-auto: update  # 스키마 자동 관리 활성화
+    properties:
+      hibernate:
+        hbm2ddl:
+          auto: update
+        javax:
+          persistence:
+            validation:
+              mode: none
+        jdbc:
+          batch_size: 50
+        default_batch_fetch_size: 100
+    show-sql: false
+
+  servlet:
+    multipart:
+      enabled: true
+      max-file-size: 100MB
+      max-request-size: 100MB
+logging:
+  level:
+    org:
+      springframework:
+        web: DEBUG
+        security: DEBUG
+    root: INFO
+# actuator
+management:
+  health:
+    readinessstate:
+      enabled: true
+    livenessstate:
+      enabled: true
+    diskspace:
+      enabled: true
+  endpoint:
+    health:
+      probes:
+        enabled: true
+      show-details: when-authorized
+  endpoints:
+    jmx:
+      exposure:
+        exclude: "*"
+    web:
+      base-path: /monitor
+      exposure:
+        include:
+          - "health"
+
+# GeoJSON 파일 모니터링 설정
+geojson:
+  monitor:
+    watch-directory: ~/geojson/upload
+    processed-directory: ~/geojson/processed
+    error-directory: ~/geojson/error
+    temp-directory: /tmp/geojson_extract
+    cron-expression: "0/30 * * * * *"  # 매 30초마다 실행
+    supported-extensions:
+      - zip
+      - tar
+      - tar.gz
+      - tgz
+    max-file-size: 104857600  # 100MB
+
+# 파일 업로드 설정
+file:
+  #sync-root-dir: D:/app/original-images/
+  sync-root-dir: /app/original-images/
+  sync-tmp-dir: ${file.sync-root-dir}tmp/
+  sync-file-extention: tfw,tif
+
+  #dataset-dir: D:/app/dataset/
+  dataset-dir: /app/dataset/
+  dataset-tmp-dir: ${file.dataset-dir}tmp/
+

src/main/resources/static/chunk_upload_test.html

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+<!DOCTYPE html>
+<html lang="ko">
+<head>
+  <meta charset="UTF-8">
+  <title>Chunk Upload Test</title>
+</head>
+<body>
+<h2>대용량 파일 청크 업로드 테스트</h2>
+
+* Chunk 테스트 사이즈 10M (10 * 1024 * 1024) - 성능에 따라 변경가능<br><br>
+
+* 학습데이터 등록 API호출후 리턴 받은 식별키</br></br>
+datasetUid(학습데이터식별키) : <input id="datasetUid" placeholder="1"><br><br>
+
+* API 호출시 파일정보 추출해서 자동 할당해야 함.(script 예제참고)</br></br>
+chunkIndex : <input id="chunkIndex" placeholder="chunkIndex" readonly><br><br>
+chunkTotalIndex : <input id="chunkTotalIndex" placeholder="chunkTotalIndex" readonly><br><br>
+
+* API 호출시 파일정보 추출해서 자동 할당해야 함.(script 예제참고)</br></br>
+fileSize : <input id="fileSize" placeholder="fileSize" readonly><br><br>
+<!--
+fileHash : <input id="fileHash" placeholder="fileHash"><br><br> -->
+
+<input type="file" id="chunkFile"><br><br>
+<button onclick="startUpload()">업로드 시작</button>
+<br><br>
+* 진행율(%)</br></br>
+<div style="width:500px;height:30px;border:1px solid #cccccc;"><div id="prgssbar" style="width:100%;height:30px;background:#eeeeee;"></div></div>
+<br><br>
+* 결과메세지</br></br>
+<div id="status" style="padding:20px;width:500px;height:300px;border:1px solid #000000;"></div>
+
+<script>
+  async function startUpload() {
+    const file = document.getElementById('chunkFile').files[0];
+    const fileName = file.name;
+    const datasetUid = Number(document.getElementById('datasetUid').value);
+    //const chunkIndex = document.getElementById('chunkIndex').value;
+    if (!file) return alert("파일을 선택하세요.");
+
+    const CHUNK_SIZE = 10 * 1024 * 1024; // 5MB
+    const fileSize = file.size;
+    const totalChunks = Math.ceil(fileSize / CHUNK_SIZE);
+    const chunkTotalIndex = totalChunks - 1;
+    //const uploadId = crypto.randomUUID(); // 고유 ID 생성
+
+    var uuid = "";
+
+    document.getElementById('fileSize').value = file.size;
+    document.getElementById('chunkTotalIndex').value = chunkTotalIndex;
+
+    for (let i = 0; i < totalChunks; i++) {
+    //for (let i = 0; i < 1; i++) {
+      const start = i * CHUNK_SIZE;
+      const end = Math.min(start + CHUNK_SIZE, file.size);
+      const chunk = file.slice(start, end);
+
+      document.getElementById('chunkIndex').value = i;
+
+      const formData = new FormData();
+      formData.append("datasetUid", datasetUid);
+      formData.append("fileSize", fileSize);
+      formData.append("fileName", fileName);
+      formData.append("chunkIndex", i);
+      formData.append("chunkTotalIndex", chunkTotalIndex);
+      formData.append("chunkFile", chunk);
+
+      try {
+        const response = await fetch('/api/upload/chunk-upload-dataset', { method: 'POST', body: formData });
+
+        // 2. 응답 상태 확인 (200 OK 등)
+        if (!response.ok) {
+          throw new Error(`서버 에러: ${response.status}`);
+        }
+
+        // 3. 서버가 보낸 데이터 읽기 (JSON 형태라고 가정)
+        const result = await response.json();
+        document.getElementById('status').innerText = JSON.stringify(result, null, 2);
+        if( result.data.res != "success")
+        {
+          //오류 경고창 띄우는 것으로 처리하시면 됩니다.
+          break;
+        }
+
+        uuid = result.data.uuid;
+
+        document.getElementById('prgssbar').style.width = result.data.uploadRate+"%";
+
+
+      } catch (error) {
+        console.error(`${i}번째 청크 업로드 실패:`, error);
+        break; // 오류 발생 시 중단
+      }
+
+    }
+
+    // 모든 청크 전송 후 최종 완료 요청
+    var mergeResult = await completeUpload(uuid);
+    document.getElementById('status').innerText = JSON.stringify(mergeResult, null, 2);
+  }
+
+
+  async function completeUpload(uuid) {
+    try {
+      const response = await fetch(`/api/upload/chunk-upload-complete/${uuid}`, {
+        method: 'PUT',
+        headers: {
+          'Content-Type': 'application/json'
+        },
+      });
+
+      if (!response.ok) {
+        throw new Error(`서ver 응답 에러: ${response.status}`);
+      }
+
+      const result = await response.json();
+      return result;
+
+    } catch (error) {
+      console.error("완료 요청 중 오류 발생:", error);
+    }
+  }
+</script>
+</body>
+</html>