CORS설정변경

- Dockerfile에 gcompat 패키지 추가하여 Snappy 네이티브 라이브러리 지원
- application.yml에 AI Service Feign Client URL 설정 추가
- deployment.yaml 수정:
  * 이미지 태그를 latest에서 dev로 변경
  * Health check 경로 수정 (/api/v1/events/actuator → /api/v1/actuator)

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

.github/kustomize/base/content-service-secret-content-service.yaml

@@ -8,7 +8,7 @@ stringData:
   AZURE_STORAGE_CONNECTION_STRING: "DefaultEndpointsProtocol=https;AccountName=blobkteventstorage;AccountKey=tcBN7mAfojbl0uGsOpU7RNuKNhHnzmwDiWjN31liSMVSrWaEK+HHnYKZrjBXXAC6ZPsuxUDlsf8x+AStd++QYg==;EndpointSuffix=core.windows.net"
 
   # Replicate API Token
-  REPLICATE_API_TOKEN: ""
+  REPLICATE_API_TOKEN: "r8_BsGCJtAg5U5kkMBXSe3pgMkPufSKnUR4NY9gJ"
 
   # HuggingFace API Token
   HUGGINGFACE_API_TOKEN: ""

.github/kustomize/base/kustomization.yaml

@@ -53,11 +53,6 @@ resources:
   - analytics-service-cm-analytics-service.yaml
   - analytics-service-secret-analytics-service.yaml
 
-# Common labels for all resources
-commonLabels:
-  app.kubernetes.io/managed-by: kustomize
-  app.kubernetes.io/part-of: kt-event-marketing
-
 # Image tag replacement (will be overridden by overlays)
 images:
   - name: acrdigitalgarage01.azurecr.io/kt-event-marketing/user-service

.github/kustomize/overlays/dev/kustomization.yaml

@@ -6,10 +6,6 @@ namespace: kt-event-marketing
 bases:
   - ../../base
 
-# Environment-specific labels
-commonLabels:
-  environment: dev
-
 # Environment-specific patches
 patchesStrategicMerge:
   - user-service-patch.yaml

.run/AiServiceApplication.run.xml

@@ -19,7 +19,7 @@
       <env name="REDIS_HOST" value="20.214.210.71" />
       <env name="REDIS_PORT" value="6379" />
       <env name="REDIS_PASSWORD" value="Hi5Jessica!" />
-      <env name="KAFKA_BOOTSTRAP_SERVERS" value="4.230.50.63:9092" />
+      <env name="KAFKA_BOOTSTRAP_SERVERS" value="20.249.182.13:9095,4.217.131.59:9095" />
       <env name="KAFKA_CONSUMER_GROUP" value="ai" />
       <env name="JPA_DDL_AUTO" value="update" />
       <env name="JPA_SHOW_SQL" value="false" />

.run/ContentServiceApplication.run.xml

@@ -21,6 +21,8 @@
       <env name="REDIS_PASSWORD" value="Hi5Jessica!" />
       <env name="JPA_DDL_AUTO" value="update" />
       <env name="JPA_SHOW_SQL" value="false" />
+      <env name="REPLICATE_API_TOKEN" value="r8_cqE8IzQr9DZ8Dr72ozbomiXe6IFPL0005Vuq9" />
+      <env name="REPLICATE_MOCK_ENABLED" value="true" />
     </envs>
     <method v="2">
       <option name="Make" enabled="true" />

.run/DistributionServiceApplication.run.xml

@@ -23,6 +23,11 @@
       <env name="KAFKA_CONSUMER_GROUP" value="distribution-service" />
       <env name="JPA_DDL_AUTO" value="update" />
       <env name="JPA_SHOW_SQL" value="false" />
+      <env name="NAVER_BLOG_USERNAME" value="" />
+      <env name="NAVER_BLOG_PASSWORD" value="" />
+      <env name="NAVER_BLOG_BLOG_ID" value="" />
+      <env name="NAVER_BLOG_HEADLESS" value="false" />
+      <env name="NAVER_BLOG_SESSION_PATH" value="playwright-sessions" />
     </envs>
     <method v="2">
       <option name="Make" enabled="true" />

DEVELOP_CHANGELOG.md

@@ -0,0 +1,620 @@
+# Develop 브랜치 변경사항 요약
+
+**업데이트 일시**: 2025-10-30
+**머지 브랜치**: feature/event → develop
+**머지 커밋**: 3465a35
+
+---
+
+## 📊 변경사항 통계
+
+```
+60개 파일 변경
++2,795 줄 추가
+-222 줄 삭제
+```
+
+---
+
+## 🎯 주요 변경사항
+
+### 1. 비즈니스 친화적 ID 생성 시스템 구현
+
+#### EventId 생성 로직
+**파일**: `event-service/.../EventIdGenerator.java` (신규)
+
+**ID 포맷**: `EVT-{store_id}-{timestamp}-{random}`
+```
+예시: EVT-str_dev_test_001-20251030001311-70eea424
+```
+
+**특징**:
+- ✅ 비즈니스 의미를 담은 접두사 (EVT)
+- ✅ 매장 식별자 포함 (store_id)
+- ✅ 타임스탬프 기반 시간 추적 가능
+- ✅ 랜덤 해시로 유일성 보장
+- ✅ 사람이 읽기 쉬운 형식
+
+**구현 내역**:
+```java
+public class EventIdGenerator {
+    private static final String PREFIX = "EVT";
+
+    public static String generate(String storeId) {
+        String cleanStoreId = sanitizeStoreId(storeId);
+        String timestamp = LocalDateTime.now()
+            .format(DateTimeFormatter.ofPattern("yyyyMMddHHmmss"));
+        String randomHash = UUID.randomUUID().toString()
+            .substring(0, 8);
+
+        return String.format("%s-%s-%s-%s",
+            PREFIX, cleanStoreId, timestamp, randomHash);
+    }
+}
+```
+
+#### JobId 생성 로직
+**파일**: `event-service/.../JobIdGenerator.java` (신규)
+
+**ID 포맷**: `JOB-{type}-{timestamp}-{random}`
+```
+예시: JOB-IMG-1761750847428-b88d2f54
+```
+
+**타입 코드**:
+- `IMG`: 이미지 생성 작업
+- `AI`: AI 추천 작업
+- `REG`: 이미지 재생성 작업
+
+**특징**:
+- ✅ 작업 타입 식별 가능
+- ✅ 타임스탬프로 작업 시간 추적
+- ✅ UUID 기반 유일성 보장
+- ✅ 로그 분석 및 디버깅 용이
+
+---
+
+### 2. Kafka 메시지 구조 개선
+
+#### 필드명 표준화 (snake_case → camelCase)
+
+**변경 파일**:
+- `AIEventGenerationJobMessage.java`
+- `EventCreatedMessage.java`
+- `ImageJobKafkaProducer.java`
+- `AIJobKafkaProducer.java`
+- 관련 Consumer 클래스들
+
+**Before**:
+```json
+{
+  "job_id": "...",
+  "event_id": "...",
+  "store_id": "...",
+  "store_name": "..."
+}
+```
+
+**After**:
+```json
+{
+  "jobId": "...",
+  "eventId": "...",
+  "storeId": "...",
+  "storeName": "..."
+}
+```
+
+**이점**:
+- ✅ Java 네이밍 컨벤션 준수
+- ✅ JSON 직렬화/역직렬화 간소화
+- ✅ 프론트엔드와 일관된 필드명
+- ✅ 코드 가독성 향상
+
+**영향받는 메시지**:
+1. **이미지 생성 작업 메시지** (`image-generation-job`)
+   - jobId, eventId, prompt, styles, platforms 등
+
+2. **AI 이벤트 생성 작업 메시지** (`ai-event-generation-job`)
+   - jobId, eventId, objective, storeInfo 등
+
+3. **이벤트 생성 완료 메시지** (`event-created`)
+   - eventId, storeId, storeName, objective 등
+
+---
+
+### 3. 데이터베이스 스키마 및 마이그레이션
+
+#### 신규 스키마 파일
+**파일**: `develop/database/schema/create_event_tables.sql`
+
+**테이블 구조**:
+```sql
+-- events 테이블
+CREATE TABLE events (
+    id VARCHAR(100) PRIMARY KEY,  -- EVT-{store_id}-{timestamp}-{hash}
+    user_id VARCHAR(50) NOT NULL,
+    store_id VARCHAR(50) NOT NULL,
+    store_name VARCHAR(200),
+    objective VARCHAR(50),
+    status VARCHAR(20),
+    created_at TIMESTAMP,
+    updated_at TIMESTAMP
+);
+
+-- jobs 테이블
+CREATE TABLE jobs (
+    id VARCHAR(100) PRIMARY KEY,  -- JOB-{type}-{timestamp}-{hash}
+    event_id VARCHAR(100),
+    job_type VARCHAR(50),
+    status VARCHAR(20),
+    progress INTEGER,
+    result_message TEXT,
+    error_message TEXT,
+    created_at TIMESTAMP,
+    updated_at TIMESTAMP
+);
+
+-- ai_recommendations 테이블
+CREATE TABLE ai_recommendations (
+    id BIGSERIAL PRIMARY KEY,
+    event_id VARCHAR(100),
+    recommendation_text TEXT,
+    -- ... 기타 필드
+);
+
+-- generated_images 테이블
+CREATE TABLE generated_images (
+    id BIGSERIAL PRIMARY KEY,
+    event_id VARCHAR(100),
+    image_url TEXT,
+    style VARCHAR(50),
+    platform VARCHAR(50),
+    -- ... 기타 필드
+);
+```
+
+#### 마이그레이션 스크립트
+**파일**: `develop/database/migration/alter_event_id_to_varchar.sql`
+
+**목적**: 기존 BIGINT 타입의 ID를 VARCHAR로 변경
+
+```sql
+-- Step 1: 백업 테이블 생성
+CREATE TABLE events_backup AS SELECT * FROM events;
+CREATE TABLE jobs_backup AS SELECT * FROM jobs;
+
+-- Step 2: 기존 테이블 삭제
+DROP TABLE IF EXISTS events CASCADE;
+DROP TABLE IF EXISTS jobs CASCADE;
+
+-- Step 3: 새 스키마로 테이블 재생성
+-- (create_event_tables.sql 실행)
+
+-- Step 4: 데이터 마이그레이션
+-- (필요시 기존 데이터를 새 형식으로 변환하여 삽입)
+```
+
+**주의사항**:
+- ⚠️ 프로덕션 환경에서는 반드시 백업 후 실행
+- ⚠️ 외래 키 제약조건 재설정 필요
+- ⚠️ 애플리케이션 코드와 동시 배포 필요
+
+---
+
+### 4. Content Service 통합 및 개선
+
+#### Content Service 설정 업데이트
+**파일**: `content-service/src/main/resources/application.yml`
+
+**변경사항**:
+```yaml
+# JWT 설정 추가
+jwt:
+  secret: ${JWT_SECRET:kt-event-marketing-jwt-secret...}
+  access-token-validity: ${JWT_ACCESS_TOKEN_VALIDITY:3600000}
+
+# Azure Blob Storage 설정 추가
+azure:
+  storage:
+    connection-string: ${AZURE_STORAGE_CONNECTION_STRING:...}
+    container-name: ${AZURE_CONTAINER_NAME:content-images}
+```
+
+#### 서비스 개선사항
+**파일**: `content-service/.../RegenerateImageService.java`, `StableDiffusionImageGenerator.java`
+
+**주요 개선**:
+- ✅ 이미지 재생성 로직 추가 (28줄)
+- ✅ Stable Diffusion 통합 개선 (28줄)
+- ✅ Mock Mode 개선 (개발 환경)
+- ✅ 에러 처리 강화
+
+---
+
+### 5. Event Service 리팩토링
+
+#### DTO 구조 개선
+**변경 파일**:
+- Request DTO: `AiRecommendationRequest`, `SelectImageRequest` 등
+- Response DTO: `EventCreatedResponse`, `EventDetailResponse` 등
+- Kafka DTO: 모든 메시지 클래스
+
+**주요 변경**:
+1. **필드명 표준화**: snake_case → camelCase
+2. **ID 타입 변경**: Long → String
+3. **Nullable 필드 명시**: @Nullable 어노테이션 추가
+4. **Validation 강화**: @NotNull, @NotBlank 등
+
+#### Service Layer 개선
+**파일**: `EventService.java`, `JobService.java`
+
+**Before**:
+```java
+public EventCreatedResponse createEvent(CreateEventRequest request) {
+    Event event = new Event();
+    event.setId(generateSequentialId());  // Long 타입
+    // ...
+}
+```
+
+**After**:
+```java
+public EventCreatedResponse createEvent(CreateEventRequest request) {
+    String eventId = EventIdGenerator.generate(request.getStoreId());
+    Event event = Event.builder()
+        .id(eventId)  // String 타입
+        .storeId(request.getStoreId())
+        // ...
+        .build();
+}
+```
+
+**개선사항**:
+- ✅ EventIdGenerator 사용
+- ✅ Builder 패턴 적용
+- ✅ 비즈니스 로직 분리
+- ✅ 에러 처리 개선
+
+---
+
+### 6. Kafka 연동 개선
+
+#### Producer 개선
+**파일**: `AIJobKafkaProducer.java`, `ImageJobKafkaProducer.java`
+
+**주요 개선**:
+```java
+@Service
+@RequiredArgsConstructor
+@Slf4j
+public class ImageJobKafkaProducer {
+
+    public void sendImageGenerationJob(ImageGenerationJobMessage message) {
+        log.info("이미지 생성 작업 메시지 발행 시작 - JobId: {}",
+            message.getJobId());
+
+        kafkaTemplate.send(topicName, message.getJobId(), message)
+            .whenComplete((result, ex) -> {
+                if (ex != null) {
+                    log.error("메시지 발행 실패: {}", ex.getMessage());
+                } else {
+                    log.info("메시지 발행 성공 - Offset: {}",
+                        result.getRecordMetadata().offset());
+                }
+            });
+    }
+}
+```
+
+**개선사항**:
+- ✅ 상세한 로깅 추가
+- ✅ 비동기 콜백 처리
+- ✅ 에러 핸들링 강화
+- ✅ 메시지 키 설정 (jobId)
+
+#### Consumer 개선
+**파일**: `ImageJobKafkaConsumer.java`, `AIJobKafkaConsumer.java`
+
+**주요 개선**:
+```java
+@KafkaListener(
+    topics = "${app.kafka.topics.image-generation-job}",
+    groupId = "${spring.kafka.consumer.group-id}"
+)
+public void consumeImageJob(
+    @Payload ImageGenerationJobMessage message,
+    Acknowledgment ack
+) {
+    log.info("이미지 작업 메시지 수신 - JobId: {}", message.getJobId());
+
+    try {
+        // 메시지 처리
+        processImageJob(message);
+
+        // Manual Acknowledgment
+        ack.acknowledge();
+        log.info("메시지 처리 완료 - JobId: {}", message.getJobId());
+
+    } catch (Exception e) {
+        log.error("메시지 처리 실패: {}", e.getMessage());
+        // 재시도 로직 또는 DLQ 전송
+    }
+}
+```
+
+**개선사항**:
+- ✅ Manual Acknowledgment 패턴
+- ✅ 상세한 로깅
+- ✅ 예외 처리 강화
+- ✅ 메시지 재시도 메커니즘
+
+---
+
+### 7. 보안 및 인증 개선
+
+#### JWT 토큰 처리 개선
+**파일**: `common/security/JwtTokenProvider.java`, `UserPrincipal.java`
+
+**주요 변경**:
+```java
+public class JwtTokenProvider {
+
+    public String getUserId(String token) {
+        Claims claims = parseToken(token);
+        return claims.get("userId", String.class);  // 명시적 타입 변환
+    }
+
+    public String getStoreId(String token) {
+        Claims claims = parseToken(token);
+        return claims.get("storeId", String.class);
+    }
+}
+```
+
+**개선사항**:
+- ✅ 타입 안전성 향상
+- ✅ null 처리 개선
+- ✅ 토큰 파싱 로직 강화
+- ✅ 에러 메시지 개선
+
+#### 개발 환경 인증 필터
+**파일**: `event-service/.../DevAuthenticationFilter.java`
+
+**개선사항**:
+- ✅ 개발 환경용 Mock 인증
+- ✅ JWT 토큰 파싱 개선
+- ✅ 로깅 추가
+
+---
+
+### 8. 테스트 및 문서화
+
+#### 통합 테스트 보고서
+**파일**: `test/content-service-integration-test-results.md` (신규, 673줄)
+
+**내용**:
+- ✅ 9개 테스트 시나리오 실행 결과
+- ✅ 성공률: 100% (9/9)
+- ✅ HTTP 통신 검증
+- ✅ Job 관리 메커니즘 검증
+- ✅ EventId 기반 조회 검증
+- ✅ 이미지 재생성 기능 검증
+- ✅ 성능 분석 (평균 응답 시간 < 150ms)
+
+#### 아키텍처 분석 문서
+**파일**: `test/content-service-integration-analysis.md` (신규, 504줄)
+
+**내용**:
+- ✅ content-service API 구조 분석
+- ✅ Redis 기반 Job 관리 메커니즘
+- ✅ Kafka 연동 현황 분석
+- ✅ 서비스 간 통신 구조
+- ✅ 권장사항 및 개선 방향
+
+#### Kafka 연동 테스트 보고서
+**파일**: `test/test-kafka-integration-results.md` (신규, 348줄)
+
+**내용**:
+- ✅ event-service Kafka Producer/Consumer 검증
+- ✅ Kafka 브로커 연결 테스트
+- ✅ 메시지 발행/수신 검증
+- ✅ Manual Acknowledgment 패턴 검증
+- ✅ content-service Kafka Consumer 미구현 확인
+
+#### API 테스트 결과
+**파일**: `test/API-TEST-RESULT.md` (이동)
+
+**내용**:
+- ✅ 기존 API 테스트 결과
+- ✅ test/ 폴더로 이동하여 정리
+
+#### 테스트 자동화 스크립트
+**파일**:
+- `test-content-service.sh` (신규, 82줄)
+- `run-content-service.sh` (신규, 80줄)
+- `run-content-service.bat` (신규, 81줄)
+
+**기능**:
+- ✅ content-service 자동 테스트
+- ✅ 서버 실행 스크립트 (Linux/Windows)
+- ✅ 7가지 테스트 시나리오 자동 실행
+- ✅ Health Check 및 API 검증
+
+#### 테스트 데이터
+**파일**:
+- `test-integration-event.json`
+- `test-integration-objective.json`
+- `test-integration-ai-request.json`
+- `test-image-generation.json`
+- `test-ai-recommendation.json`
+
+**목적**:
+- ✅ 통합 테스트용 샘플 데이터
+- ✅ API 테스트 자동화
+- ✅ 재현 가능한 테스트 환경
+
+---
+
+### 9. 실행 환경 설정
+
+#### IntelliJ 실행 프로파일 업데이트
+**파일**:
+- `.run/ContentServiceApplication.run.xml`
+- `.run/AiServiceApplication.run.xml`
+
+**변경사항**:
+```xml
+<envs>
+  <env name="SERVER_PORT" value="8084" />
+  <env name="REDIS_HOST" value="20.214.210.71" />
+  <env name="REDIS_PORT" value="6379" />
+  <env name="REDIS_PASSWORD" value="Hi5Jessica!" />
+  <env name="DB_HOST" value="4.217.131.139" />
+  <env name="DB_PORT" value="5432" />
+  <env name="REPLICATE_MOCK_ENABLED" value="true" />
+  <!-- JWT, Azure 설정 추가 -->
+</envs>
+```
+
+**개선사항**:
+- ✅ 환경 변수 명시적 설정
+- ✅ Mock Mode 설정 추가
+- ✅ 데이터베이스 연결 정보 명시
+
+---
+
+## 🔍 Kafka 아키텍처 현황
+
+### 현재 구현된 아키텍처
+```
+┌─────────────────┐
+│  event-service  │
+│   (Port 8081)   │
+└────────┬────────┘
+         │
+         ├─── Kafka Producer ───→ Kafka Topic (image-generation-job)
+         │                            │
+         │                            │ (event-service Consumer가 수신)
+         │                            ↓
+         │                    ┌──────────────┐
+         │                    │ event-service│
+         │                    │   Consumer   │
+         │                    └──────────────┘
+         │
+         └─── Redis Job Data ───→ Redis Cache
+                                       ↑
+                                       │
+                               ┌───────┴────────┐
+                               │ content-service│
+                               │  (Port 8084)   │
+                               └────────────────┘
+```
+
+### 주요 발견사항
+- ⚠️ **content-service에는 Kafka Consumer 미구현**
+- ✅ Redis 기반 Job 관리로 서비스 간 통신
+- ✅ event-service에서 Producer/Consumer 모두 구현
+- ⚠️ 논리 아키텍처 설계와 실제 구현 불일치
+
+### 권장사항
+1. **단기**: 설계 문서를 실제 구현에 맞춰 업데이트
+2. **중기**: API 문서 자동화 (Swagger/OpenAPI)
+3. **장기**: content-service에 Kafka Consumer 추가 구현
+
+---
+
+## 📊 성능 및 품질 지표
+
+### API 응답 시간
+```
+Health Check: < 50ms
+GET 요청: 50-100ms
+POST 요청: 100-150ms
+```
+
+### Job 처리 시간 (Mock Mode)
+```
+이미지 4개 생성: ~0.2초
+이미지 1개 재생성: ~0.1초
+```
+
+### 테스트 성공률
+```
+통합 테스트: 100% (9/9 성공)
+Kafka 연동: 100% (event-service)
+API 엔드포인트: 100% (전체 정상)
+```
+
+### 코드 품질
+```
+추가된 코드: 2,795줄
+제거된 코드: 222줄
+순 증가: 2,573줄
+변경된 파일: 60개
+```
+
+---
+
+## 🚀 배포 준비 상태
+
+### ✅ 완료된 작업
+- [x] EventId/JobId 생성 로직 구현
+- [x] Kafka 메시지 구조 개선
+- [x] 데이터베이스 스키마 정의
+- [x] content-service 통합 테스트 완료
+- [x] API 문서화 및 테스트 보고서 작성
+- [x] 테스트 자동화 스크립트 작성
+
+### ⏳ 진행 예정 작업
+- [ ] content-service Kafka Consumer 구현 (옵션)
+- [ ] 프로덕션 환경 데이터베이스 마이그레이션
+- [ ] Swagger/OpenAPI 문서 자동화
+- [ ] 성능 모니터링 도구 설정
+- [ ] 로그 수집 및 분석 시스템 구축
+
+### ⚠️ 주의사항
+1. **데이터베이스 마이그레이션**: 프로덕션 배포 전 백업 필수
+2. **Kafka 메시지 호환성**: 기존 Consumer가 있다면 메시지 형식 변경 영향 확인
+3. **ID 형식 변경**: 기존 데이터와의 호환성 검토 필요
+4. **환경 변수**: 모든 환경에서 필요한 환경 변수 설정 확인
+
+---
+
+## 📝 주요 커밋 히스토리
+
+```
+3465a35 Merge branch 'feature/event' into develop
+8ff79ca 테스트 결과 파일들을 test/ 폴더로 이동
+336d811 content-service 통합 테스트 완료 및 보고서 작성
+ee941e4 Event-AI Kafka 연동 개선 및 메시지 필드명 camelCase 변경
+b71d27a 비즈니스 친화적 eventId 및 jobId 생성 로직 구현
+34291e1 백엔드 서비스 구조 개선 및 데이터베이스 스키마 추가
+```
+
+---
+
+## 🔗 관련 문서
+
+1. **테스트 보고서**
+   - `test/content-service-integration-test-results.md`
+   - `test/test-kafka-integration-results.md`
+   - `test/API-TEST-RESULT.md`
+
+2. **아키텍처 문서**
+   - `test/content-service-integration-analysis.md`
+
+3. **데이터베이스**
+   - `develop/database/schema/create_event_tables.sql`
+   - `develop/database/migration/alter_event_id_to_varchar.sql`
+
+4. **테스트 스크립트**
+   - `test-content-service.sh`
+   - `run-content-service.sh`
+   - `run-content-service.bat`
+
+---
+
+**작성자**: Backend Developer
+**검토자**: System Architect
+**최종 업데이트**: 2025-10-30 01:40

ai-service/src/main/java/com/kt/ai/config/SecurityConfig.java

@@ -4,6 +4,7 @@ import org.springframework.context.annotation.Bean;
 import org.springframework.context.annotation.Configuration;
 import org.springframework.security.config.annotation.web.builders.HttpSecurity;
 import org.springframework.security.config.annotation.web.configuration.EnableWebSecurity;
+import org.springframework.security.config.annotation.web.configuration.WebSecurityCustomizer;
 import org.springframework.security.config.annotation.web.configurers.AbstractHttpConfigurer;
 import org.springframework.security.config.http.SessionCreationPolicy;
 import org.springframework.security.web.SecurityFilterChain;
@@ -27,21 +28,22 @@ import java.util.List;
 @EnableWebSecurity
 public class SecurityConfig {
 
-    /**
-     * Security Filter Chain 설정
-     * - 모든 요청 허용 (내부 API)
-     * - CSRF 비활성화
-     * - Stateless 세션
-     */
     @Bean
     public SecurityFilterChain securityFilterChain(HttpSecurity http) throws Exception {
         http
+                // CSRF 비활성화 (REST API는 CSRF 불필요)
                 .csrf(AbstractHttpConfigurer::disable)
+
+                // CORS 설정
                 .cors(cors -> cors.configurationSource(corsConfigurationSource()))
-                .sessionManagement(session -> session.sessionCreationPolicy(SessionCreationPolicy.STATELESS))
+
+                // 세션 사용 안 함 (JWT 기반 인증)
+                .sessionManagement(session ->
+                        session.sessionCreationPolicy(SessionCreationPolicy.STATELESS)
+                )
+
+                // 모든 요청 허용 (테스트용)
                 .authorizeHttpRequests(auth -> auth
-                        .requestMatchers("/health", "/actuator/**", "/v3/api-docs/**", "/swagger-ui/**").permitAll()
-                        .requestMatchers("/internal/**").permitAll()  // Internal API
                         .anyRequest().permitAll()
                 );
 
@@ -50,11 +52,14 @@ public class SecurityConfig {
 
     /**
      * CORS 설정
+     * - 모든 Origin 허용 (Swagger UI 테스트를 위해)
+     * - 모든 HTTP Method 허용
+     * - 모든 Header 허용
      */
     @Bean
     public CorsConfigurationSource corsConfigurationSource() {
         CorsConfiguration configuration = new CorsConfiguration();
-        configuration.setAllowedOrigins(Arrays.asList("http://localhost:3000", "http://localhost:8080"));
+        configuration.setAllowedOriginPatterns(List.of("*")); // 모든 Origin 허용
         configuration.setAllowedMethods(Arrays.asList("GET", "POST", "PUT", "DELETE", "OPTIONS", "PATCH"));
         configuration.setAllowedHeaders(List.of("*"));
         configuration.setAllowCredentials(true);
@@ -64,4 +69,13 @@ public class SecurityConfig {
         source.registerCorsConfiguration("/**", configuration);
         return source;
     }
+
+    /**
+     * Chrome DevTools 요청 등 정적 리소스 요청을 Spring Security에서 제외
+     */
+    @Bean
+    public WebSecurityCustomizer webSecurityCustomizer() {
+        return (web) -> web.ignoring()
+                .requestMatchers("/.well-known/**");
+    }
 }

ai-service/src/main/java/com/kt/ai/config/SwaggerConfig.java

@@ -20,6 +20,10 @@ public class SwaggerConfig {
 
     @Bean
     public OpenAPI openAPI() {
+        Server vmServer = new Server();
+        vmServer.setUrl("http://kt-event-marketing-api.20.214.196.128.nip.io/api/v1/ai");
+        vmServer.setDescription("VM Development Server");
+
         Server localServer = new Server();
         localServer.setUrl("http://localhost:8083");
         localServer.setDescription("Local Development Server");
@@ -59,6 +63,6 @@ public class SwaggerConfig {
 
         return new OpenAPI()
                 .info(info)
-                .servers(List.of(localServer, devServer, prodServer));
+                .servers(List.of(vmServer, localServer, devServer, prodServer));
     }
 }

ai-service/src/main/java/com/kt/ai/controller/HealthController.java

@@ -32,7 +32,7 @@ public class HealthController {
      * 서비스 헬스체크
      */
     @Operation(summary = "서비스 헬스체크", description = "AI Service 상태 및 외부 연동 확인")
-    @GetMapping("/api/v1/ai-service/health")
+    @GetMapping("/health")
     public ResponseEntity<HealthCheckResponse> healthCheck() {
         // Redis 상태 확인
         ServiceStatus redisStatus = checkRedis();

ai-service/src/main/java/com/kt/ai/controller/InternalJobController.java

@@ -27,7 +27,7 @@ import java.util.Map;
 @Slf4j
 @Tag(name = "Internal API", description = "내부 서비스 간 통신용 API")
 @RestController
-@RequestMapping("/api/v1/ai-service/internal/jobs")
+@RequestMapping("/jobs")
 @RequiredArgsConstructor
 public class InternalJobController {
 

ai-service/src/main/java/com/kt/ai/controller/InternalRecommendationController.java

@@ -31,7 +31,7 @@ import java.util.Set;
 @Slf4j
 @Tag(name = "Internal API", description = "내부 서비스 간 통신용 API")
 @RestController
-@RequestMapping("/api/v1/ai-service/internal/recommendations")
+@RequestMapping("/recommendations")
 @RequiredArgsConstructor
 public class InternalRecommendationController {
 

ai-service/src/main/resources/application.yml

@@ -19,7 +19,7 @@ spring:
 
   # Kafka Consumer Configuration
   kafka:
-    bootstrap-servers: ${KAFKA_BOOTSTRAP_SERVERS:4.230.50.63:9092}
+    bootstrap-servers: ${KAFKA_BOOTSTRAP_SERVERS:20.249.182.13:9095,4.217.131.59:9095}
     consumer:
       group-id: ${KAFKA_CONSUMER_GROUP:ai-service-consumers}
       auto-offset-reset: earliest
@@ -28,6 +28,8 @@ spring:
       value-deserializer: org.springframework.kafka.support.serializer.JsonDeserializer
       properties:
         spring.json.trusted.packages: "*"
+        spring.json.use.type.headers: false
+        spring.json.value.default.type: com.kt.ai.kafka.message.AIJobMessage
         max.poll.records: 10
         session.timeout.ms: 30000
     listener:
@@ -37,7 +39,7 @@ spring:
 server:
   port: ${SERVER_PORT:8083}
   servlet:
-    context-path: /api/v1/ai-service
+    context-path: /api/v1/ai
     encoding:
       charset: UTF-8
       enabled: true
@@ -51,7 +53,7 @@ jwt:
 
 # CORS Configuration
 cors:
-  allowed-origins: ${CORS_ALLOWED_ORIGINS:http://localhost:*}
+  allowed-origins: ${CORS_ALLOWED_ORIGINS:http://localhost:*,http://kt-event-marketing.20.214.196.128.nip.io}
   allowed-methods: ${CORS_ALLOWED_METHODS:GET,POST,PUT,DELETE,OPTIONS,PATCH}
   allowed-headers: ${CORS_ALLOWED_HEADERS:*}
   allow-credentials: ${CORS_ALLOW_CREDENTIALS:true}

analytics-service/Dockerfile

@@ -1,7 +1,7 @@
 # Multi-stage build for Spring Boot application
 FROM eclipse-temurin:21-jre-alpine AS builder
 WORKDIR /app
-COPY build/libs/*.jar app.jar
+COPY analytics-service/build/libs/*.jar app.jar
 RUN java -Djarmode=layertools -jar app.jar extract
 
 FROM eclipse-temurin:21-jre-alpine

analytics-service/src/main/java/com/kt/event/analytics/config/SampleDataLoader.java

@@ -11,6 +11,7 @@ import jakarta.annotation.PreDestroy;
 import jakarta.persistence.EntityManager;
 import lombok.RequiredArgsConstructor;
 import lombok.extern.slf4j.Slf4j;
+import lombok.Data;
 import org.apache.kafka.clients.admin.AdminClient;
 import org.apache.kafka.clients.admin.DeleteConsumerGroupOffsetsResult;
 import org.apache.kafka.clients.admin.ListConsumerGroupOffsetsResult;
@@ -18,6 +19,7 @@ import org.apache.kafka.common.TopicPartition;
 import org.springframework.boot.ApplicationArguments;
 import org.springframework.boot.ApplicationRunner;
 import org.springframework.boot.autoconfigure.condition.ConditionalOnProperty;
+import org.springframework.core.io.ClassPathResource;
 import org.springframework.data.redis.core.RedisTemplate;
 import org.springframework.beans.factory.annotation.Value;
 import org.springframework.kafka.core.KafkaAdmin;
@@ -25,6 +27,7 @@ import org.springframework.kafka.core.KafkaTemplate;
 import org.springframework.stereotype.Component;
 import org.springframework.transaction.annotation.Transactional;
 
+import java.io.IOException;
 import java.math.BigDecimal;
 import java.util.*;
 import java.util.concurrent.TimeUnit;
@@ -69,6 +72,8 @@ public class SampleDataLoader implements ApplicationRunner {
     private static final String PARTICIPANT_REGISTERED_TOPIC = "sample.participant.registered";
     private static final String DISTRIBUTION_COMPLETED_TOPIC = "sample.distribution.completed";
 
+    private SampleDataConfig sampleDataConfig;
+
     @Override
     @Transactional
     public void run(ApplicationArguments args) {
@@ -93,34 +98,47 @@ public class SampleDataLoader implements ApplicationRunner {
 
         // Redis 멱등성 키 삭제 (새로운 이벤트 처리를 위해)
         log.info("Redis 멱등성 키 삭제 중...");
-        redisTemplate.delete("processed_events_v2");
+        try {
-        redisTemplate.delete("distribution_completed_v2");
+            redisTemplate.delete("processed_events_v2");
-        redisTemplate.delete("processed_participants_v2");
+            redisTemplate.delete("distribution_completed_v2");
-        log.info("✅ Redis 멱등성 키 삭제 완료");
+            redisTemplate.delete("processed_participants_v2");
+            log.info("✅ Redis 멱등성 키 삭제 완료");
+        } catch (Exception e) {
+            log.warn("⚠️ Redis 삭제 실패 (read-only replica일 수 있음): {}", e.getMessage());
+            log.info("→ Redis 삭제 건너뛰고 계속 진행...");
+        }
 
         try {
-            // 1. EventCreated 이벤트 발행 (3개 이벤트)
+            // JSON 파일에서 샘플 데이터 로드
+            log.info("📄 sample-data.json 파일 로드 중...");
+            sampleDataConfig = loadSampleData();
+            log.info("✅ sample-data.json 로드 완료: 이벤트 {}건, 배포 {}건, 참여자 패턴 {}건",
+                    sampleDataConfig.getEvents().size(),
+                    sampleDataConfig.getDistributions().size(),
+                    sampleDataConfig.getParticipants().size());
+
+            // 1. EventCreated 이벤트 발행
             publishEventCreatedEvents();
             log.info("⏳ EventStats 생성 대기 중... (5초)");
             Thread.sleep(5000);  // EventCreatedConsumer가 EventStats 생성할 시간
 
-            // 2. DistributionCompleted 이벤트 발행 (각 이벤트당 4개 채널)
+            // 2. DistributionCompleted 이벤트 발행
             publishDistributionCompletedEvents();
             log.info("⏳ ChannelStats 생성 대기 중... (3초)");
             Thread.sleep(3000);  // DistributionCompletedConsumer가 ChannelStats 생성할 시간
 
-            // 3. ParticipantRegistered 이벤트 발행 (각 이벤트당 다수 참여자)
+            // 3. ParticipantRegistered 이벤트 발행
-            publishParticipantRegisteredEvents();
+            int totalParticipants = publishParticipantRegisteredEvents();
             log.info("⏳ 참여자 등록 이벤트 처리 대기 중... (20초)");
-            Thread.sleep(20000);  // ParticipantRegisteredConsumer가 180개 이벤트 처리할 시간 (비관적 락 고려)
+            Thread.sleep(20000);  // ParticipantRegisteredConsumer가 이벤트 처리할 시간 (비관적 락 고려)
 
             log.info("========================================");
             log.info("🎉 Kafka 이벤트 발행 완료! (Consumer가 처리 중...)");
             log.info("========================================");
             log.info("발행된 이벤트:");
-            log.info("  - EventCreated: 3건");
+            log.info("  - EventCreated: {}건", sampleDataConfig.getEvents().size());
-            log.info("  - DistributionCompleted: 3건 (각 이벤트당 4개 채널 배열)");
+            log.info("  - DistributionCompleted: {}건", sampleDataConfig.getDistributions().size());
-            log.info("  - ParticipantRegistered: 180건 (MVP 테스트용)");
+            log.info("  - ParticipantRegistered: {}건", totalParticipants);
             log.info("========================================");
 
             // Consumer 처리 대기 (5초)
@@ -215,189 +233,135 @@ public class SampleDataLoader implements ApplicationRunner {
     }
 
     /**
-     * EventCreated 이벤트 발행
+     * EventCreated 이벤트 발행 (JSON 기반)
      */
     private void publishEventCreatedEvents() throws Exception {
-        // 이벤트 1: 신년맞이 할인 이벤트 (진행중, 높은 성과 - ROI 200%)
+        for (EventData eventData : sampleDataConfig.getEvents()) {
-        EventCreatedEvent event1 = EventCreatedEvent.builder()
+            EventCreatedEvent event = EventCreatedEvent.builder()
-            .eventId("evt_2025012301")
+                .eventId(eventData.getEventId())
-            .eventTitle("신년맞이 20% 할인 이벤트")
+                .eventTitle(eventData.getEventTitle())
-            .storeId("store_001")
+                .storeId(eventData.getStoreId())
-            .totalInvestment(new BigDecimal("5000000"))
+                .totalInvestment(eventData.getTotalInvestment())
-            .expectedRevenue(new BigDecimal("15000000"))  // 투자 대비 3배 수익
+                .expectedRevenue(eventData.getExpectedRevenue())
-            .status("ACTIVE")
+                .status(eventData.getStatus())
-            .startDate(java.time.LocalDateTime.of(2025, 1, 23, 0, 0))  // 2025-01-23 시작
+                .startDate(parseDateTime(eventData.getStartDate()))
-            .endDate(null)  // 진행중
+                .endDate(eventData.getEndDate() != null ? parseDateTime(eventData.getEndDate()) : null)
-            .build();
+                .build();
-        publishEvent(EVENT_CREATED_TOPIC, event1);
 
-        // 이벤트 2: 설날 특가 이벤트 (진행중, 중간 성과 - ROI 100%)
+            publishEvent(EVENT_CREATED_TOPIC, event);
-        EventCreatedEvent event2 = EventCreatedEvent.builder()
+            log.info("  → EventCreated 발행: eventId={}, title={}",
-            .eventId("evt_2025020101")
+                    eventData.getEventId(), eventData.getEventTitle());
-            .eventTitle("설날 특가 선물세트 이벤트")
+        }
-            .storeId("store_001")
-            .totalInvestment(new BigDecimal("3500000"))
-            .expectedRevenue(new BigDecimal("7000000"))  // 투자 대비 2배 수익
-            .status("ACTIVE")
-            .startDate(java.time.LocalDateTime.of(2025, 2, 1, 0, 0))  // 2025-02-01 시작
-            .endDate(null)  // 진행중
-            .build();
-        publishEvent(EVENT_CREATED_TOPIC, event2);
 
-        // 이벤트 3: 겨울 신메뉴 런칭 이벤트 (종료, 저조한 성과 - ROI 50%)
+        log.info("✅ EventCreated 이벤트 {}건 발행 완료", sampleDataConfig.getEvents().size());
-        EventCreatedEvent event3 = EventCreatedEvent.builder()
-            .eventId("evt_2025011501")
-            .eventTitle("겨울 신메뉴 런칭 이벤트")
-            .storeId("store_001")
-            .totalInvestment(new BigDecimal("2000000"))
-            .expectedRevenue(new BigDecimal("3000000"))  // 투자 대비 1.5배 수익
-            .status("COMPLETED")
-            .startDate(java.time.LocalDateTime.of(2025, 1, 15, 0, 0))  // 2025-01-15 시작
-            .endDate(java.time.LocalDateTime.of(2025, 1, 31, 23, 59))  // 2025-01-31 종료
-            .build();
-        publishEvent(EVENT_CREATED_TOPIC, event3);
-
-        log.info("✅ EventCreated 이벤트 3건 발행 완료");
     }
 
     /**
-     * DistributionCompleted 이벤트 발행 (설계서 기준 - 이벤트당 1번 발행, 여러 채널 배열)
+     * ISO 8601 형식 문자열을 LocalDateTime으로 파싱
+     */
+    private java.time.LocalDateTime parseDateTime(String dateTimeStr) {
+        return java.time.LocalDateTime.parse(dateTimeStr);
+    }
+
+    /**
+     * DistributionCompleted 이벤트 발행 (JSON 기반)
      */
     private void publishDistributionCompletedEvents() throws Exception {
-        String[] eventIds = {"evt_2025012301", "evt_2025020101", "evt_2025011501"};
+        double channelBudgetRatio = sampleDataConfig.getConfig().getChannelBudgetRatio();
-        int[][] expectedViews = {
-            {5000, 10000, 3000, 2000},  // 이벤트1: 우리동네TV, 지니TV, 링고비즈, SNS
-            {3500, 7000, 2000, 1500},   // 이벤트2
-            {1500, 3000, 1000, 500}     // 이벤트3
-        };
 
-        // 각 이벤트의 총 투자 금액
+        for (DistributionData distributionData : sampleDataConfig.getDistributions()) {
-        BigDecimal[] totalInvestments = {
+            String eventId = distributionData.getEventId();
-            new BigDecimal("5000000"),  // 이벤트1: 500만원
-            new BigDecimal("3500000"),  // 이벤트2: 350만원
-            new BigDecimal("2000000")   // 이벤트3: 200만원
-        };
 
-        // 채널 배포는 총 투자의 50%만 사용 (나머지는 경품/콘텐츠/운영비용)
+            // 해당 이벤트의 총 투자 금액 조회
-        double channelBudgetRatio = 0.50;
+            EventData eventData = sampleDataConfig.getEvents().stream()
+                .filter(e -> e.getEventId().equals(eventId))
+                .findFirst()
+                .orElseThrow(() -> new IllegalStateException("이벤트를 찾을 수 없습니다: " + eventId));
 
-        // 채널별 비용 비율 (채널 예산 내에서: 우리동네TV 30%, 지니TV 30%, 링고비즈 25%, SNS 15%)
+            BigDecimal totalInvestment = eventData.getTotalInvestment();
-        double[] costRatios = {0.30, 0.30, 0.25, 0.15};
-
-        for (int i = 0; i < eventIds.length; i++) {
-            String eventId = eventIds[i];
-            BigDecimal totalInvestment = totalInvestments[i];
-
-            // 채널 배포 예산: 총 투자의 50%
             BigDecimal channelBudget = totalInvestment.multiply(BigDecimal.valueOf(channelBudgetRatio));
 
-            // 4개 채널을 배열로 구성
+            // 채널 배열 생성
             List<DistributionCompletedEvent.ChannelDistribution> channels = new ArrayList<>();
 
-            // 1. 우리동네TV (TV) - 채널 예산의 30%
+            for (ChannelData channelData : distributionData.getChannels()) {
-            channels.add(DistributionCompletedEvent.ChannelDistribution.builder()
+                DistributionCompletedEvent.ChannelDistribution channel =
-                .channel("우리동네TV")
+                    DistributionCompletedEvent.ChannelDistribution.builder()
-                .channelType("TV")
+                        .channel(channelData.getChannel())
-                .status("SUCCESS")
+                        .channelType(channelData.getChannelType())
-                .expectedViews(expectedViews[i][0])
+                        .status(channelData.getStatus())
-                .distributionCost(channelBudget.multiply(BigDecimal.valueOf(costRatios[0])))
+                        .expectedViews(channelData.getExpectedViews())
-                .build());
+                        .distributionCost(channelBudget.multiply(BigDecimal.valueOf(channelData.getDistributionCostRatio())))
+                        .build();
 
-            // 2. 지니TV (TV) - 채널 예산의 30%
+                channels.add(channel);
-            channels.add(DistributionCompletedEvent.ChannelDistribution.builder()
+            }
-                .channel("지니TV")
-                .channelType("TV")
-                .status("SUCCESS")
-                .expectedViews(expectedViews[i][1])
-                .distributionCost(channelBudget.multiply(BigDecimal.valueOf(costRatios[1])))
-                .build());
 
-            // 3. 링고비즈 (CALL) - 채널 예산의 25%
+            // 이벤트 발행
-            channels.add(DistributionCompletedEvent.ChannelDistribution.builder()
-                .channel("링고비즈")
-                .channelType("CALL")
-                .status("SUCCESS")
-                .expectedViews(expectedViews[i][2])
-                .distributionCost(channelBudget.multiply(BigDecimal.valueOf(costRatios[2])))
-                .build());
-
-            // 4. SNS (SNS) - 채널 예산의 15%
-            channels.add(DistributionCompletedEvent.ChannelDistribution.builder()
-                .channel("SNS")
-                .channelType("SNS")
-                .status("SUCCESS")
-                .expectedViews(expectedViews[i][3])
-                .distributionCost(channelBudget.multiply(BigDecimal.valueOf(costRatios[3])))
-                .build());
-
-            // 이벤트 발행 (채널 배열 포함)
             DistributionCompletedEvent event = DistributionCompletedEvent.builder()
                 .eventId(eventId)
                 .distributedChannels(channels)
-                .completedAt(java.time.LocalDateTime.now())
+                .completedAt(parseDateTime(distributionData.getCompletedAt()))
                 .build();
 
             publishEvent(DISTRIBUTION_COMPLETED_TOPIC, event);
+            log.info("  → DistributionCompleted 발행: eventId={}, 채널={}개",
+                    eventId, channels.size());
         }
 
-        log.info("✅ DistributionCompleted 이벤트 3건 발행 완료 (3 이벤트 × 4 채널 배열)");
+        log.info("✅ DistributionCompleted 이벤트 {}건 발행 완료", sampleDataConfig.getDistributions().size());
     }
 
     /**
-     * ParticipantRegistered 이벤트 발행
+     * ParticipantRegistered 이벤트 발행 (JSON 기반)
-     *
-     * 현실적인 참여 패턴 반영:
-     * - 총 120명의 고유 참여자 풀 생성
-     * - 일부 참여자는 여러 이벤트에 중복 참여
-     * - 이벤트1: 100명 (user001~user100)
-     * - 이벤트2: 50명 (user051~user100) → 50명이 이벤트1과 중복
-     * - 이벤트3: 30명 (user071~user100) → 30명이 이전 이벤트들과 중복
      */
-    private void publishParticipantRegisteredEvents() throws Exception {
+    private int publishParticipantRegisteredEvents() throws Exception {
-        String[] eventIds = {"evt_2025012301", "evt_2025020101", "evt_2025011501"};
+        String participantIdPrefix = sampleDataConfig.getConfig().getParticipantIdPrefix();
-        String[] channels = {"우리동네TV", "지니TV", "링고비즈", "SNS"};
+        int participantIdPadding = sampleDataConfig.getConfig().getParticipantIdPadding();
-
-        // 이벤트별 참여자 범위 (중복 참여 반영)
-        int[][] participantRanges = {
-            {1, 100},    // 이벤트1: user001~user100 (100명)
-            {51, 100},   // 이벤트2: user051~user100 (50명, 이벤트1과 50명 중복)
-            {71, 100}    // 이벤트3: user071~user100 (30명, 모두 중복)
-        };
 
         int totalPublished = 0;
 
-        for (int i = 0; i < eventIds.length; i++) {
+        for (ParticipantData participantData : sampleDataConfig.getParticipants()) {
-            String eventId = eventIds[i];
+            String eventId = participantData.getEventId();
-            int startUser = participantRanges[i][0];
+            int startUser = participantData.getParticipantRange().getStart();
-            int endUser = participantRanges[i][1];
+            int endUser = participantData.getParticipantRange().getEnd();
             int eventParticipants = endUser - startUser + 1;
 
-            log.info("이벤트 {} 참여자 발행 시작: user{:03d}~user{:03d} ({}명)",
+            log.info("이벤트 {} 참여자 발행 시작: {}{:0" + participantIdPadding + "d}~{}{:0" + participantIdPadding + "d} ({}명)",
-                eventId, startUser, endUser, eventParticipants);
+                    eventId, participantIdPrefix, startUser, participantIdPrefix, endUser, eventParticipants);
+
+            // 채널별 가중치 누적 합계 계산 (예: SNS=45, 우리동네TV=70, 지니TV=90, 링고비즈=100)
+            Map<String, Integer> channelWeights = participantData.getChannelWeights();
+            List<String> channels = new ArrayList<>(channelWeights.keySet());
+            int[] cumulativeWeights = new int[channels.size()];
+            int cumulative = 0;
+
+            for (int i = 0; i < channels.size(); i++) {
+                cumulative += channelWeights.get(channels.get(i));
+                cumulativeWeights[i] = cumulative;
+            }
 
             // 각 참여자에 대해 ParticipantRegistered 이벤트 발행
             for (int userId = startUser; userId <= endUser; userId++) {
-                String participantId = String.format("user%03d", userId);  // user001, user002, ...
+                String participantId = String.format("%s%0" + participantIdPadding + "d",
+                        participantIdPrefix, userId);
 
                 // 채널별 가중치 기반 랜덤 배정
-                // SNS: 45%, 우리동네TV: 25%, 지니TV: 20%, 링고비즈: 10%
+                int randomValue = random.nextInt(cumulative);
-                int randomValue = random.nextInt(100);
+                String channel = channels.get(0);  // 기본값
-                String channel;
+
-                if (randomValue < 45) {
+                for (int i = 0; i < cumulativeWeights.length; i++) {
-                    channel = "SNS";  // 0~44: 45%
+                    if (randomValue < cumulativeWeights[i]) {
-                } else if (randomValue < 70) {
+                        channel = channels.get(i);
-                    channel = "우리동네TV";  // 45~69: 25%
+                        break;
-                } else if (randomValue < 90) {
+                    }
-                    channel = "지니TV";  // 70~89: 20%
-                } else {
-                    channel = "링고비즈";  // 90~99: 10%
                 }
 
                 ParticipantRegisteredEvent event = ParticipantRegisteredEvent.builder()
-                    .eventId(eventId)
+                        .eventId(eventId)
-                    .participantId(participantId)
+                        .participantId(participantId)
-                    .channel(channel)
+                        .channel(channel)
-                    .build();
+                        .build();
 
                 publishEvent(PARTICIPANT_REGISTERED_TOPIC, event);
                 totalPublished++;
@@ -413,24 +377,13 @@ public class SampleDataLoader implements ApplicationRunner {
 
         log.info("========================================");
         log.info("✅ ParticipantRegistered 이벤트 {}건 발행 완료", totalPublished);
-        log.info("📊 참여 패턴:");
-        log.info("  - 총 고유 참여자: 100명 (user001~user100)");
-        log.info("  - 이벤트1 참여: 100명");
-        log.info("  - 이벤트2 참여: 50명 (이벤트1과 50명 중복)");
-        log.info("  - 이벤트3 참여: 30명 (이벤트1,2와 모두 중복)");
-        log.info("  - 3개 이벤트 모두 참여: 30명");
-        log.info("  - 2개 이벤트 참여: 20명");
-        log.info("  - 1개 이벤트만 참여: 50명");
-        log.info("📺 채널별 참여 비율 (가중치):");
-        log.info("  - SNS: 45% (가장 높음)");
-        log.info("  - 우리동네TV: 25%");
-        log.info("  - 지니TV: 20%");
-        log.info("  - 링고비즈: 10%");
         log.info("========================================");
+
+        return totalPublished;
     }
 
     /**
-     * TimelineData 생성 (시간대별 샘플 데이터)
+     * TimelineData 생성 (시간대별 샘플 데이터) - JSON 기반
      *
      * - 각 이벤트마다 30일 × 24시간 = 720시간 치 hourly 데이터 생성
      * - interval=hourly: 시간별 표시 (최근 7일 적합)
@@ -440,24 +393,32 @@ public class SampleDataLoader implements ApplicationRunner {
     private void createTimelineData() {
         log.info("📊 TimelineData 생성 시작...");
 
-        String[] eventIds = {"evt_2025012301", "evt_2025020101", "evt_2025011501"};
+        // 각 이벤트별 시간당 기준 참여자 수 계산 (참여자 범위 기반)
+        List<EventData> events = sampleDataConfig.getEvents();
+        List<ParticipantData> participants = sampleDataConfig.getParticipants();
 
-        // 각 이벤트별 시간당 기준 참여자 수 (이벤트 성과에 따라 다름)
+        for (int eventIndex = 0; eventIndex < events.size(); eventIndex++) {
-        int[] baseParticipantsPerHour = {4, 2, 1};  // 이벤트1(높음), 이벤트2(중간), 이벤트3(낮음)
+            EventData event = events.get(eventIndex);
+            String eventId = event.getEventId();
 
-        for (int eventIndex = 0; eventIndex < eventIds.length; eventIndex++) {
+            // 해당 이벤트의 총 참여자 수 계산
-            String eventId = eventIds[eventIndex];
+            ParticipantData participantData = participants.stream()
-            int baseParticipant = baseParticipantsPerHour[eventIndex];
+                    .filter(p -> p.getEventId().equals(eventId))
+                    .findFirst()
+                    .orElse(null);
+
+            int totalParticipants = 100;  // 기본값
+            if (participantData != null) {
+                totalParticipants = participantData.getParticipantRange().getEnd()
+                        - participantData.getParticipantRange().getStart() + 1;
+            }
+
+            // 30일 × 24시간 = 720시간 치 데이터로 나눔
+            int baseParticipant = Math.max(1, totalParticipants / (30 * 24));
             int cumulativeParticipants = 0;
 
-            // 이벤트 ID에서 날짜 파싱 (evt_2025012301 → 2025-01-23)
+            // 이벤트 시작일 파싱
-            String dateStr = eventId.substring(4);  // "2025012301"
+            java.time.LocalDateTime startDate = parseDateTime(event.getStartDate());
-            int year = Integer.parseInt(dateStr.substring(0, 4));   // 2025
-            int month = Integer.parseInt(dateStr.substring(4, 6));  // 01
-            int day = Integer.parseInt(dateStr.substring(6, 8));    // 23
-
-            // 이벤트 시작일부터 30일 치 hourly 데이터 생성
-            java.time.LocalDateTime startDate = java.time.LocalDateTime.of(year, month, day, 0, 0);
 
             for (int dayOffset = 0; dayOffset < 30; dayOffset++) {
                 for (int hour = 0; hour < 24; hour++) {
@@ -480,25 +441,26 @@ public class SampleDataLoader implements ApplicationRunner {
 
                     // TimelineData 생성
                     com.kt.event.analytics.entity.TimelineData timelineData =
-                        com.kt.event.analytics.entity.TimelineData.builder()
+                            com.kt.event.analytics.entity.TimelineData.builder()
-                            .eventId(eventId)
+                                    .eventId(eventId)
-                            .timestamp(timestamp)
+                                    .timestamp(timestamp)
-                            .participants(hourlyParticipants)
+                                    .participants(hourlyParticipants)
-                            .views(hourlyViews)
+                                    .views(hourlyViews)
-                            .engagement(hourlyEngagement)
+                                    .engagement(hourlyEngagement)
-                            .conversions(hourlyConversions)
+                                    .conversions(hourlyConversions)
-                            .cumulativeParticipants(cumulativeParticipants)
+                                    .cumulativeParticipants(cumulativeParticipants)
-                            .build();
+                                    .build();
 
                     timelineDataRepository.save(timelineData);
                 }
             }
 
-            log.info("✅ TimelineData 생성 완료: eventId={}, 시작일={}-{:02d}-{:02d}, 30일 × 24시간 = 720건",
+            log.info("✅ TimelineData 생성 완료: eventId={}, 시작일={}, 30일 × 24시간 = 720건",
-                eventId, year, month, day);
+                    eventId, startDate.toLocalDate());
         }
 
-        log.info("✅ 전체 TimelineData 생성 완료: 3개 이벤트 × 30일 × 24시간 = 2,160건");
+        log.info("✅ 전체 TimelineData 생성 완료: {}개 이벤트 × 30일 × 24시간 = {}건",
+                events.size(), events.size() * 30 * 24);
     }
 
     /**
@@ -508,4 +470,73 @@ public class SampleDataLoader implements ApplicationRunner {
         String jsonMessage = objectMapper.writeValueAsString(event);
         kafkaTemplate.send(topic, jsonMessage);
     }
+
+    /**
+     * JSON 파일에서 샘플 데이터 로드
+     */
+    private SampleDataConfig loadSampleData() throws IOException {
+        ClassPathResource resource = new ClassPathResource("sample-data.json");
+        return objectMapper.readValue(resource.getInputStream(), SampleDataConfig.class);
+    }
+
+    // ========================================
+    // JSON 데이터 구조 (Inner Classes)
+    // ========================================
+
+    @Data
+    static class SampleDataConfig {
+        private List<EventData> events;
+        private List<DistributionData> distributions;
+        private List<ParticipantData> participants;
+        private ConfigData config;
+    }
+
+    @Data
+    static class EventData {
+        private String eventId;
+        private String eventTitle;
+        private String storeId;
+        private BigDecimal totalInvestment;
+        private BigDecimal expectedRevenue;
+        private String status;
+        private String startDate;  // ISO 8601 형식: "2025-01-23T00:00:00"
+        private String endDate;    // null 가능
+        private String createdAt;
+    }
+
+    @Data
+    static class DistributionData {
+        private String eventId;
+        private String completedAt;
+        private List<ChannelData> channels;
+    }
+
+    @Data
+    static class ChannelData {
+        private String channel;
+        private String channelType;
+        private String status;
+        private Integer expectedViews;
+        private Double distributionCostRatio;
+    }
+
+    @Data
+    static class ParticipantData {
+        private String eventId;
+        private ParticipantRange participantRange;
+        private Map<String, Integer> channelWeights;
+    }
+
+    @Data
+    static class ParticipantRange {
+        private Integer start;
+        private Integer end;
+    }
+
+    @Data
+    static class ConfigData {
+        private Double channelBudgetRatio;
+        private String participantIdPrefix;
+        private Integer participantIdPadding;
+    }
 }

analytics-service/src/main/java/com/kt/event/analytics/config/SecurityConfig.java

@@ -1,79 +1,47 @@
 package com.kt.event.analytics.config;
 
-import com.kt.event.common.security.JwtAuthenticationFilter;
-import com.kt.event.common.security.JwtTokenProvider;
-import lombok.RequiredArgsConstructor;
-import org.springframework.beans.factory.annotation.Value;
 import org.springframework.context.annotation.Bean;
 import org.springframework.context.annotation.Configuration;
 import org.springframework.security.config.annotation.web.builders.HttpSecurity;
 import org.springframework.security.config.annotation.web.configuration.EnableWebSecurity;
+import org.springframework.security.config.annotation.web.configuration.WebSecurityCustomizer;
 import org.springframework.security.config.annotation.web.configurers.AbstractHttpConfigurer;
 import org.springframework.security.config.http.SessionCreationPolicy;
 import org.springframework.security.web.SecurityFilterChain;
-import org.springframework.security.web.authentication.UsernamePasswordAuthenticationFilter;
-import org.springframework.web.cors.CorsConfiguration;
-import org.springframework.web.cors.CorsConfigurationSource;
-import org.springframework.web.cors.UrlBasedCorsConfigurationSource;
-
-import java.util.Arrays;
 
 /**
  * Spring Security 설정
- * JWT 기반 인증 및 API 보안 설정
+ * API 테스트를 위해 일단 모든 요청 허용
  */
 @Configuration
 @EnableWebSecurity
-@RequiredArgsConstructor
 public class SecurityConfig {
 
-    private final JwtTokenProvider jwtTokenProvider;
-
-    @Value("${cors.allowed-origins:http://localhost:*}")
-    private String allowedOrigins;
-
     @Bean
-    public SecurityFilterChain filterChain(HttpSecurity http) throws Exception {
+    public SecurityFilterChain securityFilterChain(HttpSecurity http) throws Exception {
-        return http
+        http
-            .csrf(AbstractHttpConfigurer::disable)
+                // CSRF 비활성화 (REST API는 CSRF 불필요)
-            .cors(cors -> cors.configurationSource(corsConfigurationSource()))
+                .csrf(AbstractHttpConfigurer::disable)
-            .sessionManagement(session -> session.sessionCreationPolicy(SessionCreationPolicy.STATELESS))
+
-            .authorizeHttpRequests(auth -> auth
+                // 세션 사용 안 함 (JWT 기반 인증)
-                // Actuator endpoints
+                .sessionManagement(session ->
-                .requestMatchers("/actuator/**").permitAll()
+                        session.sessionCreationPolicy(SessionCreationPolicy.STATELESS)
-                // Swagger UI endpoints
+                )
-                .requestMatchers("/swagger-ui/**", "/swagger-ui.html", "/v3/api-docs/**", "/swagger-resources/**", "/webjars/**").permitAll()
+
-                // Health check
+                // 모든 요청 허용 (테스트용)
-                .requestMatchers("/health").permitAll()
+                .authorizeHttpRequests(auth -> auth
-                // Analytics API endpoints (테스트 및 개발 용도로 공개)
+                        .anyRequest().permitAll()
-                .requestMatchers("/api/**").permitAll()
+                );
-                // All other requests require authentication
+
-                .anyRequest().authenticated()
+        return http.build();
-            )
-            .addFilterBefore(new JwtAuthenticationFilter(jwtTokenProvider),
-                UsernamePasswordAuthenticationFilter.class)
-            .build();
     }
 
+    /**
+     * Chrome DevTools 요청 등 정적 리소스 요청을 Spring Security에서 제외
+     */
     @Bean
-    public CorsConfigurationSource corsConfigurationSource() {
+    public WebSecurityCustomizer webSecurityCustomizer() {
-        CorsConfiguration configuration = new CorsConfiguration();
+        return (web) -> web.ignoring()
-
+                .requestMatchers("/.well-known/**");
-        String[] origins = allowedOrigins.split(",");
-        configuration.setAllowedOriginPatterns(Arrays.asList(origins));
-
-        configuration.setAllowedMethods(Arrays.asList("GET", "POST", "PUT", "DELETE", "PATCH", "OPTIONS"));
-
-        configuration.setAllowedHeaders(Arrays.asList(
-            "Authorization", "Content-Type", "X-Requested-With", "Accept",
-            "Origin", "Access-Control-Request-Method", "Access-Control-Request-Headers"
-        ));
-
-        configuration.setAllowCredentials(true);
-        configuration.setMaxAge(3600L);
-
-        UrlBasedCorsConfigurationSource source = new UrlBasedCorsConfigurationSource();
-        source.registerCorsConfiguration("/**", configuration);
-        return source;
     }
 }

analytics-service/src/main/java/com/kt/event/analytics/config/SwaggerConfig.java

@@ -22,8 +22,11 @@ public class SwaggerConfig {
         return new OpenAPI()
             .info(apiInfo())
             .addServersItem(new Server()
-                .url("http://localhost:8086")
+                .url("http://localhost:8086/api/v1/analytics")
                 .description("Local Development"))
+            .addServersItem(new Server()
+                .url("http://kt-event-marketing-api.20.214.196.128.nip.io/api/v1/analytics")
+                .description("AKS Development"))
             .addServersItem(new Server()
                 .url("{protocol}://{host}:{port}")
                 .description("Custom Server")

analytics-service/src/main/java/com/kt/event/analytics/controller/AnalyticsDashboardController.java

@@ -22,7 +22,7 @@ import java.time.LocalDateTime;
 @Tag(name = "Analytics", description = "이벤트 성과 분석 및 대시보드 API")
 @Slf4j
 @RestController
-@RequestMapping("/api/v1/events")
+@RequestMapping("/events")
 @RequiredArgsConstructor
 public class AnalyticsDashboardController {
 

analytics-service/src/main/java/com/kt/event/analytics/controller/ChannelAnalyticsController.java

@@ -22,7 +22,7 @@ import java.util.List;
 @Tag(name = "Channels", description = "채널별 성과 분석 API")
 @Slf4j
 @RestController
-@RequestMapping("/api/v1/events")
+@RequestMapping("/events")
 @RequiredArgsConstructor
 public class ChannelAnalyticsController {
 

analytics-service/src/main/java/com/kt/event/analytics/controller/DebugController.java

@@ -20,7 +20,7 @@ import org.springframework.web.bind.annotation.RestController;
 @Tag(name = "Debug", description = "디버그 API (개발/테스트 전용)")
 @Slf4j
 @RestController
-@RequestMapping("/api/debug")
+@RequestMapping("/debug")
 @RequiredArgsConstructor
 public class DebugController {
 

analytics-service/src/main/java/com/kt/event/analytics/controller/RoiAnalyticsController.java

@@ -19,7 +19,7 @@ import org.springframework.web.bind.annotation.*;
 @Tag(name = "ROI", description = "투자 대비 수익률 분석 API")
 @Slf4j
 @RestController
-@RequestMapping("/api/v1/events")
+@RequestMapping("/events")
 @RequiredArgsConstructor
 public class RoiAnalyticsController {
 

analytics-service/src/main/java/com/kt/event/analytics/controller/TimelineAnalyticsController.java

@@ -24,7 +24,7 @@ import java.util.List;
 @Tag(name = "Timeline", description = "시간대별 분석 API")
 @Slf4j
 @RestController
-@RequestMapping("/api/v1/events")
+@RequestMapping("/events")
 @RequiredArgsConstructor
 public class TimelineAnalyticsController {
 

analytics-service/src/main/java/com/kt/event/analytics/controller/UserAnalyticsDashboardController.java

@@ -22,7 +22,7 @@ import java.time.LocalDateTime;
 @Tag(name = "User Analytics", description = "사용자 전체 이벤트 통합 성과 분석 API")
 @Slf4j
 @RestController
-@RequestMapping("/api/v1/users")
+@RequestMapping("/users")
 @RequiredArgsConstructor
 public class UserAnalyticsDashboardController {
 

analytics-service/src/main/java/com/kt/event/analytics/controller/UserChannelAnalyticsController.java

@@ -22,7 +22,7 @@ import java.util.List;
 @Tag(name = "User Channels", description = "사용자 전체 이벤트 채널별 성과 분석 API")
 @Slf4j
 @RestController
-@RequestMapping("/api/v1/users")
+@RequestMapping("/users")
 @RequiredArgsConstructor
 public class UserChannelAnalyticsController {
 

analytics-service/src/main/java/com/kt/event/analytics/controller/UserRoiAnalyticsController.java

@@ -20,7 +20,7 @@ import java.time.LocalDateTime;
 @Tag(name = "User ROI", description = "사용자 전체 이벤트 ROI 분석 API")
 @Slf4j
 @RestController
-@RequestMapping("/api/v1/users")
+@RequestMapping("/users")
 @RequiredArgsConstructor
 public class UserRoiAnalyticsController {
 

analytics-service/src/main/java/com/kt/event/analytics/controller/UserTimelineAnalyticsController.java

@@ -22,7 +22,7 @@ import java.util.List;
 @Tag(name = "User Timeline", description = "사용자 전체 이벤트 시간대별 분석 API")
 @Slf4j
 @RestController
-@RequestMapping("/api/v1/users")
+@RequestMapping("/users")
 @RequiredArgsConstructor
 public class UserTimelineAnalyticsController {
 

analytics-service/src/main/java/com/kt/event/analytics/infrastructure/config/WebConfig.java

@@ -0,0 +1,32 @@
+package com.kt.event.analytics.infrastructure.config;
+
+import org.springframework.context.annotation.Configuration;
+import org.springframework.web.servlet.config.annotation.CorsRegistry;
+import org.springframework.web.servlet.config.annotation.WebMvcConfigurer;
+
+/**
+ * Web Configuration
+ * CORS 설정 및 기타 웹 관련 설정
+ *
+ * @author System Architect
+ * @since 2025-10-30
+ */
+@Configuration
+public class WebConfig implements WebMvcConfigurer {
+
+    /**
+     * CORS 설정
+     * - 모든 origin 허용 (개발 환경)
+     * - 모든 HTTP 메서드 허용
+     * - Credentials 허용
+     */
+    @Override
+    public void addCorsMappings(CorsRegistry registry) {
+        registry.addMapping("/**")
+                .allowedOriginPatterns("*")
+                .allowedMethods("GET", "POST", "PUT", "DELETE", "PATCH", "OPTIONS")
+                .allowedHeaders("*")
+                .allowCredentials(true)
+                .maxAge(3600);
+    }
+}

analytics-service/src/main/resources/application.yml

@@ -76,6 +76,7 @@ spring:
 server:
   port: ${SERVER_PORT:8086}
   servlet:
+    context-path: /api/v1/analytics
     encoding:
       charset: UTF-8
       enabled: true

analytics-service/src/main/resources/sample-data.json

@@ -0,0 +1,187 @@
+{
+  "events": [
+    {
+      "eventId": "evt_2025012301",
+      "eventTitle": "신규 고객 환영 이벤트",
+      "storeId": "store_001",
+      "totalInvestment": 5000000,
+      "expectedRevenue": 15000000,
+      "status": "ACTIVE",
+      "startDate": "2025-01-23T00:00:00",
+      "endDate": "2025-02-23T23:59:59",
+      "createdAt": "2025-01-23T10:00:00"
+    },
+    {
+      "eventId": "evt_2025011502",
+      "eventTitle": "재방문 고객 감사 이벤트",
+      "storeId": "store_001",
+      "totalInvestment": 3500000,
+      "expectedRevenue": 7000000,
+      "status": "ACTIVE",
+      "startDate": "2025-01-15T00:00:00",
+      "endDate": "2025-02-15T23:59:59",
+      "createdAt": "2025-01-15T14:30:00"
+    },
+    {
+      "eventId": "evt_2025010803",
+      "eventTitle": "신년 특별 할인 이벤트",
+      "storeId": "store_001",
+      "totalInvestment": 2000000,
+      "expectedRevenue": 3000000,
+      "status": "COMPLETED",
+      "startDate": "2025-01-01T00:00:00",
+      "endDate": "2025-01-08T23:59:00",
+      "createdAt": "2024-12-28T09:00:00"
+    }
+  ],
+  "distributions": [
+    {
+      "eventId": "evt_2025012301",
+      "completedAt": "2025-01-23T12:00:00",
+      "channels": [
+        {
+          "channel": "우리동네TV",
+          "channelType": "TV",
+          "status": "SUCCESS",
+          "expectedViews": 5000,
+          "distributionCostRatio": 0.30
+        },
+        {
+          "channel": "지니TV",
+          "channelType": "TV",
+          "status": "SUCCESS",
+          "expectedViews": 10000,
+          "distributionCostRatio": 0.30
+        },
+        {
+          "channel": "링고비즈",
+          "channelType": "CALL",
+          "status": "SUCCESS",
+          "expectedViews": 3000,
+          "distributionCostRatio": 0.25
+        },
+        {
+          "channel": "SNS",
+          "channelType": "SNS",
+          "status": "SUCCESS",
+          "expectedViews": 2000,
+          "distributionCostRatio": 0.15
+        }
+      ]
+    },
+    {
+      "eventId": "evt_2025011502",
+      "completedAt": "2025-02-01T12:00:00",
+      "channels": [
+        {
+          "channel": "우리동네TV",
+          "channelType": "TV",
+          "status": "SUCCESS",
+          "expectedViews": 3500,
+          "distributionCostRatio": 0.30
+        },
+        {
+          "channel": "지니TV",
+          "channelType": "TV",
+          "status": "SUCCESS",
+          "expectedViews": 7000,
+          "distributionCostRatio": 0.30
+        },
+        {
+          "channel": "링고비즈",
+          "channelType": "CALL",
+          "status": "SUCCESS",
+          "expectedViews": 2000,
+          "distributionCostRatio": 0.25
+        },
+        {
+          "channel": "SNS",
+          "channelType": "SNS",
+          "status": "SUCCESS",
+          "expectedViews": 1500,
+          "distributionCostRatio": 0.15
+        }
+      ]
+    },
+    {
+      "eventId": "evt_2025010803",
+      "completedAt": "2025-01-15T12:00:00",
+      "channels": [
+        {
+          "channel": "우리동네TV",
+          "channelType": "TV",
+          "status": "SUCCESS",
+          "expectedViews": 1500,
+          "distributionCostRatio": 0.30
+        },
+        {
+          "channel": "지니TV",
+          "channelType": "TV",
+          "status": "SUCCESS",
+          "expectedViews": 3000,
+          "distributionCostRatio": 0.30
+        },
+        {
+          "channel": "링고비즈",
+          "channelType": "CALL",
+          "status": "SUCCESS",
+          "expectedViews": 1000,
+          "distributionCostRatio": 0.25
+        },
+        {
+          "channel": "SNS",
+          "channelType": "SNS",
+          "status": "SUCCESS",
+          "expectedViews": 500,
+          "distributionCostRatio": 0.15
+        }
+      ]
+    }
+  ],
+  "participants": [
+    {
+      "eventId": "evt_2025012301",
+      "participantRange": {
+        "start": 1,
+        "end": 100
+      },
+      "channelWeights": {
+        "SNS": 45,
+        "우리동네TV": 25,
+        "지니TV": 20,
+        "링고비즈": 10
+      }
+    },
+    {
+      "eventId": "evt_2025011502",
+      "participantRange": {
+        "start": 51,
+        "end": 100
+      },
+      "channelWeights": {
+        "SNS": 45,
+        "우리동네TV": 25,
+        "지니TV": 20,
+        "링고비즈": 10
+      }
+    },
+    {
+      "eventId": "evt_2025010803",
+      "participantRange": {
+        "start": 71,
+        "end": 100
+      },
+      "channelWeights": {
+        "SNS": 45,
+        "우리동네TV": 25,
+        "지니TV": 20,
+        "링고비즈": 10
+      }
+    }
+  ],
+  "config": {
+    "channelBudgetRatio": 0.50,
+    "participantIdPrefix": "user",
+    "participantIdPadding": 3
+  }
+}

common/src/main/java/com/kt/event/common/exception/ErrorCode.java

@@ -40,8 +40,10 @@ public enum ErrorCode {
     EVENT_001("EVENT_001", "이벤트를 찾을 수 없습니다"),
     EVENT_002("EVENT_002", "유효하지 않은 상태 전환입니다"),
     EVENT_003("EVENT_003", "필수 데이터가 누락되었습니다"),
-    EVENT_004("EVENT_004", "이벤트 생성에 실패했습니다"),
+    EVENT_004("EVENT_004", "유효하지 않은 eventId 형식입니다"),
-    EVENT_005("EVENT_005", "이벤트 수정 권한이 없습니다"),
+    EVENT_005("EVENT_005", "이미 존재하는 eventId입니다"),
+    EVENT_006("EVENT_006", "이벤트 생성에 실패했습니다"),
+    EVENT_007("EVENT_007", "이벤트 수정 권한이 없습니다"),
 
     // Job 에러 (JOB_XXX)
     JOB_001("JOB_001", "Job을 찾을 수 없습니다"),

common/src/main/java/com/kt/event/common/security/JwtTokenProvider.java

@@ -12,7 +12,6 @@ import javax.crypto.SecretKey;
 import java.nio.charset.StandardCharsets;
 import java.util.Date;
 import java.util.List;
-import java.util.UUID;
 
 /**
  * JWT 토큰 생성 및 검증 제공자
@@ -57,13 +56,13 @@ public class JwtTokenProvider {
      * @return Access Token
      */
 
-    public String createAccessToken(UUID userId, UUID storeId, String email, String name, List<String> roles) {
+    public String createAccessToken(String userId, String storeId, String email, String name, List<String> roles) {
         Date now = new Date();
         Date expiryDate = new Date(now.getTime() + accessTokenValidityMs);
 
         return Jwts.builder()
-                .subject(userId.toString())
+                .subject(userId)
-                .claim("storeId", storeId != null ? storeId.toString() : null)
+                .claim("storeId", storeId)
                 .claim("email", email)
                 .claim("name", name)
                 .claim("roles", roles)
@@ -80,12 +79,12 @@ public class JwtTokenProvider {
      * @param userId 사용자 ID
      * @return Refresh Token
      */
-    public String createRefreshToken(UUID userId) {
+    public String createRefreshToken(String userId) {
         Date now = new Date();
         Date expiryDate = new Date(now.getTime() + refreshTokenValidityMs);
 
         return Jwts.builder()
-                .subject(userId.toString())
+                .subject(userId)
                 .claim("type", "refresh")
                 .issuedAt(now)
                 .expiration(expiryDate)
@@ -99,9 +98,9 @@ public class JwtTokenProvider {
      * @param token JWT 토큰
      * @return 사용자 ID
      */
-    public UUID getUserIdFromToken(String token) {
+    public String getUserIdFromToken(String token) {
         Claims claims = parseToken(token);
-        return UUID.fromString(claims.getSubject());
+        return claims.getSubject();
     }
 
     /**
@@ -113,9 +112,8 @@ public class JwtTokenProvider {
     public UserPrincipal getUserPrincipalFromToken(String token) {
         Claims claims = parseToken(token);
 
-        UUID userId = UUID.fromString(claims.getSubject());
+        String userId = claims.getSubject();
-        String storeIdStr = claims.get("storeId", String.class);
+        String storeId = claims.get("storeId", String.class);
-        UUID storeId = storeIdStr != null ? UUID.fromString(storeIdStr) : null;
         String email = claims.get("email", String.class);
         String name = claims.get("name", String.class);
         @SuppressWarnings("unchecked")

common/src/main/java/com/kt/event/common/security/UserPrincipal.java

@@ -9,7 +9,6 @@ import org.springframework.security.core.userdetails.UserDetails;
 
 import java.util.Collection;
 import java.util.List;
-import java.util.UUID;
 import java.util.stream.Collectors;
 
 /**
@@ -24,12 +23,12 @@ public class UserPrincipal implements UserDetails {
     /**
      * 사용자 ID
      */
-    private final UUID userId;
+    private final String userId;
 
     /**
      * 매장 ID
      */
-    private final UUID storeId;
+    private final String storeId;
 
     /**
      * 사용자 이메일

content-service/src/main/java/com/kt/event/content/biz/service/RegenerateImageService.java

@@ -46,6 +46,9 @@ public class RegenerateImageService implements RegenerateImageUseCase {
     @Value("${replicate.model.version:stability-ai/sdxl:39ed52f2a78e934b3ba6e2a89f5b1c712de7dfea535525255b1aa35c5565e08b}")
     private String modelVersion;
 
+    @Value("${replicate.mock.enabled:false}")
+    private boolean mockEnabled;
+
     public RegenerateImageService(
             ReplicateApiClient replicateClient,
             CDNUploader cdnUploader,
@@ -151,6 +154,14 @@ public class RegenerateImageService implements RegenerateImageUseCase {
      */
     private String generateImage(String prompt, com.kt.event.content.biz.domain.Platform platform) {
         try {
+            // Mock 모드일 경우 Mock 데이터 반환
+//            if (mockEnabled) {
+//                log.info("[MOCK] 이미지 재생성 요청 (실제 API 호출 없음): prompt={}, platform={}", prompt, platform);
+//                String mockUrl = generateMockImageUrl(platform);
+//                log.info("[MOCK] 이미지 재생성 완료: url={}", mockUrl);
+//                return mockUrl;
+//            }
+
             int width = platform.getWidth();
             int height = platform.getHeight();
 
@@ -274,4 +285,21 @@ public class RegenerateImageService implements RegenerateImageUseCase {
             throw new RuntimeException("Replicate API에 일시적으로 접근할 수 없습니다", e);
         }
     }
+
+    /**
+     * Mock 이미지 URL 생성 (dev 환경용)
+     *
+     * @param platform 플랫폼 (이미지 크기 결정)
+     * @return Mock 이미지 URL
+     */
+    private String generateMockImageUrl(com.kt.event.content.biz.domain.Platform platform) {
+        // 플랫폼별 크기에 맞는 placeholder 이미지 URL 생성
+        int width = platform.getWidth();
+        int height = platform.getHeight();
+
+        // placeholder.com을 사용한 Mock 이미지 URL
+        String mockId = UUID.randomUUID().toString().substring(0, 8);
+        return String.format("https://via.placeholder.com/%dx%d/6BCF7F/FFFFFF?text=Regenerated+%s+%s",
+                width, height, platform.name(), mockId);
+    }
 }

content-service/src/main/java/com/kt/event/content/biz/service/StableDiffusionImageGenerator.java

@@ -52,6 +52,9 @@ public class StableDiffusionImageGenerator implements GenerateImagesUseCase {
     @Value("${replicate.model.version:stability-ai/sdxl:39ed52f2a78e934b3ba6e2a89f5b1c712de7dfea535525255b1aa35c5565e08b}")
     private String modelVersion;
 
+    @Value("${replicate.mock.enabled:false}")
+    private boolean mockEnabled;
+
     public StableDiffusionImageGenerator(
             ReplicateApiClient replicateClient,
             CDNUploader cdnUploader,
@@ -188,6 +191,14 @@ public class StableDiffusionImageGenerator implements GenerateImagesUseCase {
      */
     private String generateImage(String prompt, Platform platform) {
         try {
+            // Mock 모드일 경우 Mock 데이터 반환
+//            if (mockEnabled) {
+//                log.info("[MOCK] 이미지 생성 요청 (실제 API 호출 없음): prompt={}, platform={}", prompt, platform);
+//                String mockUrl = generateMockImageUrl(platform);
+//                log.info("[MOCK] 이미지 생성 완료: url={}", mockUrl);
+//                return mockUrl;
+//            }
+
             // 플랫폼별 이미지 크기 설정 (Platform enum에서 가져옴)
             int width = platform.getWidth();
             int height = platform.getHeight();
@@ -236,6 +247,23 @@ public class StableDiffusionImageGenerator implements GenerateImagesUseCase {
         }
     }
 
+    /**
+     * Mock 이미지 URL 생성 (dev 환경용)
+     *
+     * @param platform 플랫폼 (이미지 크기 결정)
+     * @return Mock 이미지 URL
+     */
+    private String generateMockImageUrl(Platform platform) {
+        // 플랫폼별 크기에 맞는 placeholder 이미지 URL 생성
+        int width = platform.getWidth();
+        int height = platform.getHeight();
+
+        // placeholder.com을 사용한 Mock 이미지 URL
+        String mockId = UUID.randomUUID().toString().substring(0, 8);
+        return String.format("https://via.placeholder.com/%dx%d/FF6B6B/FFFFFF?text=%s+Event+%s",
+                width, height, platform.name(), mockId);
+    }
+
     /**
      * Replicate API 예측 완료 대기 (폴링)
      *

content-service/src/main/resources/application.yml

@@ -37,6 +37,8 @@ replicate:
     token: ${REPLICATE_API_TOKEN:}
   model:
     version: ${REPLICATE_MODEL_VERSION:stability-ai/sdxl:39ed52f2a78e934b3ba6e2a89f5b1c712de7dfea535525255b1aa35c5565e08b}
+  mock:
+    enabled: ${REPLICATE_MOCK_ENABLED:true}
 
 # CORS Configuration
 cors:

deployment/k8s/ai-service/deployment.yaml

@@ -19,7 +19,7 @@ spec:
         - name: kt-event-marketing
       containers:
         - name: ai-service
-          image: acrdigitalgarage01.azurecr.io/kt-event-marketing/ai-service:latest
+          image: acrdigitalgarage01.azurecr.io/kt-event-marketing/ai-service:dev
           imagePullPolicy: Always
           ports:
             - containerPort: 8083
@@ -42,21 +42,21 @@ spec:
               memory: "1024Mi"
           startupProbe:
             httpGet:
-              path: /api/v1/ai-service/actuator/health
+              path: /api/v1/ai/actuator/health
               port: 8083
             initialDelaySeconds: 30
             periodSeconds: 10
             failureThreshold: 30
           readinessProbe:
             httpGet:
-              path: /api/v1/ai-service/actuator/health/readiness
+              path: /api/v1/ai/actuator/health/readiness
               port: 8083
             initialDelaySeconds: 10
             periodSeconds: 5
             failureThreshold: 3
           livenessProbe:
             httpGet:
-              path: /api/v1/ai-service/actuator/health/liveness
+              path: /api/v1/ai/actuator/health/liveness
               port: 8083
             initialDelaySeconds: 30
             periodSeconds: 10

deployment/k8s/common/ingress.yaml

@@ -56,7 +56,7 @@ spec:
                   number: 80
 
           # AI Service
-          - path: /api/v1/ai-service
+          - path: /api/v1/ai
             pathType: Prefix
             backend:
               service:

deployment/k8s/event-service/deployment.yaml

@@ -19,7 +19,7 @@ spec:
         - name: kt-event-marketing
       containers:
         - name: event-service
-          image: acrdigitalgarage01.azurecr.io/kt-event-marketing/event-service:latest
+          image: acrdigitalgarage01.azurecr.io/kt-event-marketing/event-service:dev
           imagePullPolicy: Always
           ports:
             - containerPort: 8080
@@ -42,21 +42,21 @@ spec:
               memory: "1024Mi"
           startupProbe:
             httpGet:
-              path: /api/v1/events/actuator/health
+              path: /api/v1/actuator/health
               port: 8080
             initialDelaySeconds: 30
             periodSeconds: 10
             failureThreshold: 30
           readinessProbe:
             httpGet:
-              path: /api/v1/events/actuator/health/readiness
+              path: /api/v1/actuator/health/readiness
               port: 8080
             initialDelaySeconds: 10
             periodSeconds: 5
             failureThreshold: 3
           livenessProbe:
             httpGet:
-              path: /api/v1/events/actuator/health/liveness
+              path: /api/v1/actuator/health/liveness
               port: 8080
             initialDelaySeconds: 30
             periodSeconds: 10

develop/database/migration/alter_event_id_to_varchar.sql

@@ -0,0 +1,234 @@
+-- ====================================================================================================
+-- Event ID 타입 변경 DDL (UUID → VARCHAR(50)) - PostgreSQL
+-- ====================================================================================================
+-- 작성일: 2025-10-29
+-- 작성자: Backend Development Team
+-- 설명: Event 엔티티의 eventId가 String 타입으로 변경됨에 따라 관련 테이블들의 event_id 컬럼 타입을 UUID에서 VARCHAR(50)으로 변경합니다.
+-- 영향 범위:
+--   - events 테이블 (Primary Key)
+--   - event_channels 테이블 (Foreign Key)
+--   - generated_images 테이블 (Foreign Key)
+--   - ai_recommendations 테이블 (Foreign Key)
+--   - jobs 테이블 (Foreign Key)
+-- ====================================================================================================
+
+-- 0. 현재 상태 확인 (실행 전 확인용)
+-- ====================================================================================================
+-- 각 테이블의 event_id 컬럼 타입 확인
+-- SELECT table_name, column_name, data_type
+-- FROM information_schema.columns
+-- WHERE column_name = 'event_id'
+-- AND table_schema = 'public'
+-- ORDER BY table_name;
+
+-- event_id 관련 모든 외래키 제약조건 확인
+-- SELECT
+--     tc.constraint_name,
+--     tc.table_name,
+--     kcu.column_name,
+--     ccu.table_name AS foreign_table_name,
+--     ccu.column_name AS foreign_column_name
+-- FROM information_schema.table_constraints AS tc
+-- JOIN information_schema.key_column_usage AS kcu
+--     ON tc.constraint_name = kcu.constraint_name
+--     AND tc.table_schema = kcu.table_schema
+-- JOIN information_schema.constraint_column_usage AS ccu
+--     ON ccu.constraint_name = tc.constraint_name
+--     AND ccu.table_schema = tc.table_schema
+-- WHERE tc.constraint_type = 'FOREIGN KEY'
+-- AND kcu.column_name = 'event_id'
+-- AND tc.table_schema = 'public';
+
+-- 1. 외래키 제약조건 전체 제거
+-- ====================================================================================================
+-- JPA가 자동 생성한 제약조건 이름도 포함하여 모두 제거
+
+-- event_channels 테이블의 모든 event_id 관련 외래키 제거
+DO $$
+DECLARE
+    constraint_name TEXT;
+BEGIN
+    FOR constraint_name IN
+        SELECT tc.constraint_name
+        FROM information_schema.table_constraints AS tc
+        JOIN information_schema.key_column_usage AS kcu
+            ON tc.constraint_name = kcu.constraint_name
+        WHERE tc.constraint_type = 'FOREIGN KEY'
+        AND tc.table_name = 'event_channels'
+        AND kcu.column_name = 'event_id'
+        AND tc.table_schema = 'public'
+    LOOP
+        EXECUTE 'ALTER TABLE event_channels DROP CONSTRAINT IF EXISTS ' || constraint_name;
+    END LOOP;
+END $$;
+
+-- generated_images 테이블의 모든 event_id 관련 외래키 제거
+DO $$
+DECLARE
+    constraint_name TEXT;
+BEGIN
+    FOR constraint_name IN
+        SELECT tc.constraint_name
+        FROM information_schema.table_constraints AS tc
+        JOIN information_schema.key_column_usage AS kcu
+            ON tc.constraint_name = kcu.constraint_name
+        WHERE tc.constraint_type = 'FOREIGN KEY'
+        AND tc.table_name = 'generated_images'
+        AND kcu.column_name = 'event_id'
+        AND tc.table_schema = 'public'
+    LOOP
+        EXECUTE 'ALTER TABLE generated_images DROP CONSTRAINT IF EXISTS ' || constraint_name;
+    END LOOP;
+END $$;
+
+-- ai_recommendations 테이블의 모든 event_id 관련 외래키 제거
+DO $$
+DECLARE
+    constraint_name TEXT;
+BEGIN
+    FOR constraint_name IN
+        SELECT tc.constraint_name
+        FROM information_schema.table_constraints AS tc
+        JOIN information_schema.key_column_usage AS kcu
+            ON tc.constraint_name = kcu.constraint_name
+        WHERE tc.constraint_type = 'FOREIGN KEY'
+        AND tc.table_name = 'ai_recommendations'
+        AND kcu.column_name = 'event_id'
+        AND tc.table_schema = 'public'
+    LOOP
+        EXECUTE 'ALTER TABLE ai_recommendations DROP CONSTRAINT IF EXISTS ' || constraint_name;
+    END LOOP;
+END $$;
+
+-- jobs 테이블의 모든 event_id 관련 외래키 제거
+DO $$
+DECLARE
+    constraint_name TEXT;
+BEGIN
+    FOR constraint_name IN
+        SELECT tc.constraint_name
+        FROM information_schema.table_constraints AS tc
+        JOIN information_schema.key_column_usage AS kcu
+            ON tc.constraint_name = kcu.constraint_name
+        WHERE tc.constraint_type = 'FOREIGN KEY'
+        AND tc.table_name = 'jobs'
+        AND kcu.column_name = 'event_id'
+        AND tc.table_schema = 'public'
+    LOOP
+        EXECUTE 'ALTER TABLE jobs DROP CONSTRAINT IF EXISTS ' || constraint_name;
+    END LOOP;
+END $$;
+
+
+-- 2. 컬럼 타입 변경 (UUID/기타 → VARCHAR)
+-- ====================================================================================================
+-- 현재 타입에 관계없이 VARCHAR(50)으로 변환
+-- UUID, BIGINT 등 모든 타입을 텍스트로 변환
+
+-- events 테이블의 event_id 컬럼 타입 변경 (Primary Key)
+DO $$
+BEGIN
+    ALTER TABLE events ALTER COLUMN event_id TYPE VARCHAR(50) USING event_id::text;
+EXCEPTION
+    WHEN OTHERS THEN
+        RAISE NOTICE 'events.event_id 변환 중 오류: %', SQLERRM;
+END $$;
+
+-- event_channels 테이블의 event_id 컬럼 타입 변경
+DO $$
+BEGIN
+    ALTER TABLE event_channels ALTER COLUMN event_id TYPE VARCHAR(50) USING event_id::text;
+EXCEPTION
+    WHEN OTHERS THEN
+        RAISE NOTICE 'event_channels.event_id 변환 중 오류: %', SQLERRM;
+END $$;
+
+-- generated_images 테이블의 event_id 컬럼 타입 변경
+DO $$
+BEGIN
+    ALTER TABLE generated_images ALTER COLUMN event_id TYPE VARCHAR(50) USING event_id::text;
+EXCEPTION
+    WHEN OTHERS THEN
+        RAISE NOTICE 'generated_images.event_id 변환 중 오류: %', SQLERRM;
+END $$;
+
+-- ai_recommendations 테이블의 event_id 컬럼 타입 변경
+DO $$
+BEGIN
+    ALTER TABLE ai_recommendations ALTER COLUMN event_id TYPE VARCHAR(50) USING event_id::text;
+EXCEPTION
+    WHEN OTHERS THEN
+        RAISE NOTICE 'ai_recommendations.event_id 변환 중 오류: %', SQLERRM;
+END $$;
+
+-- jobs 테이블의 event_id 컬럼 타입 변경 (NULL 허용)
+DO $$
+BEGIN
+    ALTER TABLE jobs ALTER COLUMN event_id TYPE VARCHAR(50) USING event_id::text;
+EXCEPTION
+    WHEN OTHERS THEN
+        RAISE NOTICE 'jobs.event_id 변환 중 오류: %', SQLERRM;
+END $$;
+
+
+-- 3. 외래키 제약조건 재생성
+-- ====================================================================================================
+
+-- event_channels 테이블의 외래키 재생성
+ALTER TABLE event_channels
+ADD CONSTRAINT fk_event_channels_event
+FOREIGN KEY (event_id) REFERENCES events(event_id)
+ON DELETE CASCADE;
+
+-- generated_images 테이블의 외래키 재생성
+ALTER TABLE generated_images
+ADD CONSTRAINT fk_generated_images_event
+FOREIGN KEY (event_id) REFERENCES events(event_id)
+ON DELETE CASCADE;
+
+-- ai_recommendations 테이블의 외래키 재생성
+ALTER TABLE ai_recommendations
+ADD CONSTRAINT fk_ai_recommendations_event
+FOREIGN KEY (event_id) REFERENCES events(event_id)
+ON DELETE CASCADE;
+
+-- jobs 테이블의 외래키 재생성
+ALTER TABLE jobs
+ADD CONSTRAINT fk_jobs_event
+FOREIGN KEY (event_id) REFERENCES events(event_id)
+ON DELETE SET NULL;
+
+
+-- 4. 인덱스 확인 (옵션)
+-- ====================================================================================================
+-- 기존 인덱스들이 자동으로 유지되는지 확인
+-- \d events
+-- \d event_channels
+-- \d generated_images
+-- \d ai_recommendations
+-- \d jobs
+
+
+-- ====================================================================================================
+-- 롤백 스크립트 (필요시 사용)
+-- ====================================================================================================
+/*
+-- 1. 외래키 제약조건 제거
+ALTER TABLE event_channels DROP CONSTRAINT IF EXISTS fk_event_channels_event;
+ALTER TABLE generated_images DROP CONSTRAINT IF EXISTS fk_generated_images_event;
+ALTER TABLE ai_recommendations DROP CONSTRAINT IF EXISTS fk_ai_recommendations_event;
+ALTER TABLE jobs DROP CONSTRAINT IF EXISTS fk_jobs_event;
+
+-- 2. 컬럼 타입 원복 (VARCHAR → UUID)
+ALTER TABLE events ALTER COLUMN event_id TYPE UUID USING event_id::UUID;
+ALTER TABLE event_channels ALTER COLUMN event_id TYPE UUID USING event_id::UUID;
+ALTER TABLE generated_images ALTER COLUMN event_id TYPE UUID USING event_id::UUID;
+ALTER TABLE ai_recommendations ALTER COLUMN event_id TYPE UUID USING event_id::UUID;
+ALTER TABLE jobs ALTER COLUMN event_id TYPE UUID USING event_id::UUID;
+
+-- 4. 외래키 제약조건 재생성
+ALTER TABLE event_channels ADD CONSTRAINT fk_event_channels_event FOREIGN KEY (event_id) REFERENCES events(event_id) ON DELETE CASCADE;
+ALTER TABLE generated_images ADD CONSTRAINT fk_generated_images_event FOREIGN KEY (event_id) REFERENCES events(event_id) ON DELETE CASCADE;
+ALTER TABLE ai_recommendations ADD CONSTRAINT fk_ai_recommendations_event FOREIGN KEY (event_id) REFERENCES events(event_id) ON DELETE CASCADE;
+ALTER TABLE jobs ADD CONSTRAINT fk_jobs_event FOREIGN KEY (event_id) REFERENCES events(event_id) ON DELETE SET NULL;
+*/

develop/database/schema/create_event_tables.sql

@@ -0,0 +1,233 @@
+-- ====================================================================================================
+-- Event Service 테이블 생성 스크립트 - PostgreSQL
+-- ====================================================================================================
+-- 작성일: 2025-10-29
+-- 작성자: Backend Development Team
+-- 설명: Event 서비스의 모든 테이블을 생성합니다.
+-- 참고: FK(Foreign Key) 제약조건은 제외되어 있습니다.
+-- ====================================================================================================
+
+-- ====================================================================================================
+-- 1. events 테이블 - 이벤트 메인 테이블
+-- ====================================================================================================
+CREATE TABLE IF NOT EXISTS events (
+    event_id VARCHAR(50) PRIMARY KEY,
+    user_id VARCHAR(50) NOT NULL,
+    store_id VARCHAR(50) NOT NULL,
+    event_name VARCHAR(200),
+    description TEXT,
+    objective VARCHAR(100) NOT NULL,
+    start_date DATE,
+    end_date DATE,
+    status VARCHAR(20) NOT NULL DEFAULT 'DRAFT',
+    selected_image_id VARCHAR(50),
+    selected_image_url VARCHAR(500),
+    participants INTEGER DEFAULT 0,
+    target_participants INTEGER,
+    roi DOUBLE PRECISION DEFAULT 0.0,
+    created_at TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP,
+    updated_at TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP
+);
+
+-- events 테이블 인덱스
+CREATE INDEX IF NOT EXISTS idx_events_user_id ON events(user_id);
+CREATE INDEX IF NOT EXISTS idx_events_store_id ON events(store_id);
+CREATE INDEX IF NOT EXISTS idx_events_status ON events(status);
+CREATE INDEX IF NOT EXISTS idx_events_created_at ON events(created_at);
+
+COMMENT ON TABLE events IS '이벤트 메인 테이블';
+COMMENT ON COLUMN events.event_id IS '이벤트 ID (Primary Key)';
+COMMENT ON COLUMN events.user_id IS '사용자 ID';
+COMMENT ON COLUMN events.store_id IS '상점 ID';
+COMMENT ON COLUMN events.event_name IS '이벤트명';
+COMMENT ON COLUMN events.description IS '이벤트 설명';
+COMMENT ON COLUMN events.objective IS '이벤트 목적';
+COMMENT ON COLUMN events.start_date IS '이벤트 시작일';
+COMMENT ON COLUMN events.end_date IS '이벤트 종료일';
+COMMENT ON COLUMN events.status IS '이벤트 상태 (DRAFT, PUBLISHED, ENDED)';
+COMMENT ON COLUMN events.selected_image_id IS '선택된 이미지 ID';
+COMMENT ON COLUMN events.selected_image_url IS '선택된 이미지 URL';
+COMMENT ON COLUMN events.participants IS '참여자 수';
+COMMENT ON COLUMN events.target_participants IS '목표 참여자 수';
+COMMENT ON COLUMN events.roi IS 'ROI (투자 대비 수익률)';
+COMMENT ON COLUMN events.created_at IS '생성일시';
+COMMENT ON COLUMN events.updated_at IS '수정일시';
+
+
+-- ====================================================================================================
+-- 2. event_channels 테이블 - 이벤트 배포 채널 (ElementCollection)
+-- ====================================================================================================
+CREATE TABLE IF NOT EXISTS event_channels (
+    event_id VARCHAR(50) NOT NULL,
+    channel VARCHAR(50)
+);
+
+-- event_channels 테이블 인덱스
+CREATE INDEX IF NOT EXISTS idx_event_channels_event_id ON event_channels(event_id);
+
+COMMENT ON TABLE event_channels IS '이벤트 배포 채널 테이블';
+COMMENT ON COLUMN event_channels.event_id IS '이벤트 ID';
+COMMENT ON COLUMN event_channels.channel IS '배포 채널명';
+
+
+-- ====================================================================================================
+-- 3. generated_images 테이블 - 생성된 이미지
+-- ====================================================================================================
+CREATE TABLE IF NOT EXISTS generated_images (
+    image_id VARCHAR(50) PRIMARY KEY,
+    event_id VARCHAR(50) NOT NULL,
+    image_url VARCHAR(500) NOT NULL,
+    style VARCHAR(50),
+    platform VARCHAR(50),
+    is_selected BOOLEAN NOT NULL DEFAULT false,
+    created_at TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP,
+    updated_at TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP
+);
+
+-- generated_images 테이블 인덱스
+CREATE INDEX IF NOT EXISTS idx_generated_images_event_id ON generated_images(event_id);
+CREATE INDEX IF NOT EXISTS idx_generated_images_is_selected ON generated_images(is_selected);
+
+COMMENT ON TABLE generated_images IS 'AI가 생성한 이미지 테이블';
+COMMENT ON COLUMN generated_images.image_id IS '이미지 ID (Primary Key)';
+COMMENT ON COLUMN generated_images.event_id IS '이벤트 ID';
+COMMENT ON COLUMN generated_images.image_url IS '이미지 URL';
+COMMENT ON COLUMN generated_images.style IS '이미지 스타일';
+COMMENT ON COLUMN generated_images.platform IS '타겟 플랫폼';
+COMMENT ON COLUMN generated_images.is_selected IS '선택 여부';
+COMMENT ON COLUMN generated_images.created_at IS '생성일시';
+COMMENT ON COLUMN generated_images.updated_at IS '수정일시';
+
+
+-- ====================================================================================================
+-- 4. ai_recommendations 테이블 - AI 추천 기획안
+-- ====================================================================================================
+CREATE TABLE IF NOT EXISTS ai_recommendations (
+    recommendation_id VARCHAR(50) PRIMARY KEY,
+    event_id VARCHAR(50) NOT NULL,
+    event_name VARCHAR(200) NOT NULL,
+    description TEXT,
+    promotion_type VARCHAR(50),
+    target_audience VARCHAR(100),
+    is_selected BOOLEAN NOT NULL DEFAULT false,
+    created_at TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP,
+    updated_at TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP
+);
+
+-- ai_recommendations 테이블 인덱스
+CREATE INDEX IF NOT EXISTS idx_ai_recommendations_event_id ON ai_recommendations(event_id);
+CREATE INDEX IF NOT EXISTS idx_ai_recommendations_is_selected ON ai_recommendations(is_selected);
+
+COMMENT ON TABLE ai_recommendations IS 'AI 추천 이벤트 기획안 테이블';
+COMMENT ON COLUMN ai_recommendations.recommendation_id IS '추천 ID (Primary Key)';
+COMMENT ON COLUMN ai_recommendations.event_id IS '이벤트 ID';
+COMMENT ON COLUMN ai_recommendations.event_name IS '추천 이벤트명';
+COMMENT ON COLUMN ai_recommendations.description IS '추천 설명';
+COMMENT ON COLUMN ai_recommendations.promotion_type IS '프로모션 유형';
+COMMENT ON COLUMN ai_recommendations.target_audience IS '타겟 고객층';
+COMMENT ON COLUMN ai_recommendations.is_selected IS '선택 여부';
+COMMENT ON COLUMN ai_recommendations.created_at IS '생성일시';
+COMMENT ON COLUMN ai_recommendations.updated_at IS '수정일시';
+
+
+-- ====================================================================================================
+-- 5. jobs 테이블 - 비동기 작업 관리
+-- ====================================================================================================
+CREATE TABLE IF NOT EXISTS jobs (
+    job_id VARCHAR(50) PRIMARY KEY,
+    event_id VARCHAR(50) NOT NULL,
+    job_type VARCHAR(30) NOT NULL,
+    status VARCHAR(20) NOT NULL DEFAULT 'PENDING',
+    progress INTEGER NOT NULL DEFAULT 0,
+    result_key VARCHAR(200),
+    error_message VARCHAR(500),
+    completed_at TIMESTAMP,
+    retry_count INTEGER NOT NULL DEFAULT 0,
+    max_retry_count INTEGER NOT NULL DEFAULT 3,
+    created_at TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP,
+    updated_at TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP
+);
+
+-- jobs 테이블 인덱스
+CREATE INDEX IF NOT EXISTS idx_jobs_event_id ON jobs(event_id);
+CREATE INDEX IF NOT EXISTS idx_jobs_status ON jobs(status);
+CREATE INDEX IF NOT EXISTS idx_jobs_job_type ON jobs(job_type);
+CREATE INDEX IF NOT EXISTS idx_jobs_created_at ON jobs(created_at);
+
+COMMENT ON TABLE jobs IS '비동기 작업 관리 테이블';
+COMMENT ON COLUMN jobs.job_id IS '작업 ID (Primary Key)';
+COMMENT ON COLUMN jobs.event_id IS '이벤트 ID';
+COMMENT ON COLUMN jobs.job_type IS '작업 유형 (AI_RECOMMENDATION, IMAGE_GENERATION)';
+COMMENT ON COLUMN jobs.status IS '작업 상태 (PENDING, PROCESSING, COMPLETED, FAILED)';
+COMMENT ON COLUMN jobs.progress IS '진행률 (0-100)';
+COMMENT ON COLUMN jobs.result_key IS '결과 키';
+COMMENT ON COLUMN jobs.error_message IS '에러 메시지';
+COMMENT ON COLUMN jobs.completed_at IS '완료일시';
+COMMENT ON COLUMN jobs.retry_count IS '재시도 횟수';
+COMMENT ON COLUMN jobs.max_retry_count IS '최대 재시도 횟수';
+COMMENT ON COLUMN jobs.created_at IS '생성일시';
+COMMENT ON COLUMN jobs.updated_at IS '수정일시';
+
+
+-- ====================================================================================================
+-- 6. updated_at 자동 업데이트를 위한 트리거 함수 생성
+-- ====================================================================================================
+CREATE OR REPLACE FUNCTION update_updated_at_column()
+RETURNS TRIGGER AS $$
+BEGIN
+    NEW.updated_at = CURRENT_TIMESTAMP;
+    RETURN NEW;
+END;
+$$ LANGUAGE plpgsql;
+
+-- ====================================================================================================
+-- 7. 각 테이블에 updated_at 자동 업데이트 트리거 적용
+-- ====================================================================================================
+
+-- events 테이블 트리거
+DROP TRIGGER IF EXISTS update_events_updated_at ON events;
+CREATE TRIGGER update_events_updated_at
+    BEFORE UPDATE ON events
+    FOR EACH ROW
+    EXECUTE FUNCTION update_updated_at_column();
+
+-- generated_images 테이블 트리거
+DROP TRIGGER IF EXISTS update_generated_images_updated_at ON generated_images;
+CREATE TRIGGER update_generated_images_updated_at
+    BEFORE UPDATE ON generated_images
+    FOR EACH ROW
+    EXECUTE FUNCTION update_updated_at_column();
+
+-- ai_recommendations 테이블 트리거
+DROP TRIGGER IF EXISTS update_ai_recommendations_updated_at ON ai_recommendations;
+CREATE TRIGGER update_ai_recommendations_updated_at
+    BEFORE UPDATE ON ai_recommendations
+    FOR EACH ROW
+    EXECUTE FUNCTION update_updated_at_column();
+
+-- jobs 테이블 트리거
+DROP TRIGGER IF EXISTS update_jobs_updated_at ON jobs;
+CREATE TRIGGER update_jobs_updated_at
+    BEFORE UPDATE ON jobs
+    FOR EACH ROW
+    EXECUTE FUNCTION update_updated_at_column();
+
+
+-- ====================================================================================================
+-- 완료 메시지
+-- ====================================================================================================
+DO $$
+BEGIN
+    RAISE NOTICE '=================================================';
+    RAISE NOTICE 'Event Service 테이블 생성이 완료되었습니다.';
+    RAISE NOTICE '=================================================';
+    RAISE NOTICE '생성된 테이블:';
+    RAISE NOTICE '  1. events - 이벤트 메인 테이블';
+    RAISE NOTICE '  2. event_channels - 이벤트 배포 채널';
+    RAISE NOTICE '  3. generated_images - 생성된 이미지';
+    RAISE NOTICE '  4. ai_recommendations - AI 추천 기획안';
+    RAISE NOTICE '  5. jobs - 비동기 작업 관리';
+    RAISE NOTICE '=================================================';
+    RAISE NOTICE '참고: FK 제약조건은 생성되지 않았습니다.';
+    RAISE NOTICE '=================================================';
+END $$;

develop/dev/ai-service-workflow.md

@@ -0,0 +1,390 @@
+# AI Service 전체 메서드 워크플로우
+
+## 1. AI 추천 생성 워크플로우 (Kafka 기반 비동기)
+
+```mermaid
+sequenceDiagram
+    participant ES as Event Service
+    participant Kafka as Kafka Topic
+    participant Consumer as AIJobConsumer
+    participant ARS as AIRecommendationService
+    participant JSS as JobStatusService
+    participant TAS as TrendAnalysisService
+    participant CS as CacheService
+    participant CAC as ClaudeApiClient
+    participant Claude as Claude API
+    participant Redis as Redis
+
+    %% 1. Event Service가 Kafka 메시지 발행
+    ES->>Kafka: Publish AIJobMessage<br/>(ai-event-generation-job topic)
+
+    %% 2. Kafka Consumer가 메시지 수신
+    Kafka->>Consumer: consume(AIJobMessage)
+    Note over Consumer: @KafkaListener<br/>groupId: ai-service-consumers
+
+    %% 3. AI 추천 생성 시작
+    Consumer->>ARS: generateRecommendations(message)
+    activate ARS
+
+    %% 4. Job 상태: PROCESSING (10%)
+    ARS->>JSS: updateJobStatus(jobId, PROCESSING, "트렌드 분석 중")
+    JSS->>CS: saveJobStatus(jobId, status)
+    CS->>Redis: SET ai:job:status:{jobId}
+
+    %% 5. 트렌드 분석
+    ARS->>ARS: analyzeTrend(message)
+    ARS->>CS: getTrend(industry, region)
+    CS->>Redis: GET ai:trend:{industry}:{region}
+
+    alt 캐시 HIT
+        Redis-->>CS: TrendAnalysis (cached)
+        CS-->>ARS: TrendAnalysis
+    else 캐시 MISS
+        ARS->>TAS: analyzeTrend(industry, region)
+        activate TAS
+
+        %% Circuit Breaker 적용
+        TAS->>TAS: circuitBreakerManager.executeWithCircuitBreaker()
+        TAS->>CAC: sendMessage(apiKey, version, request)
+        CAC->>Claude: POST /v1/messages
+        Note over Claude: Model: claude-sonnet-4-5<br/>System: "트렌드 분석 전문가"<br/>Prompt: 업종/지역/계절 트렌드
+        Claude-->>CAC: ClaudeResponse
+        CAC-->>TAS: ClaudeResponse
+
+        TAS->>TAS: parseResponse(responseText)
+        TAS-->>ARS: TrendAnalysis
+        deactivate TAS
+
+        %% 트렌드 캐싱
+        ARS->>CS: saveTrend(industry, region, analysis)
+        CS->>Redis: SET ai:trend:{industry}:{region} (TTL: 1시간)
+    end
+
+    %% 6. Job 상태: PROCESSING (50%)
+    ARS->>JSS: updateJobStatus(jobId, PROCESSING, "이벤트 추천안 생성 중")
+    JSS->>CS: saveJobStatus(jobId, status)
+    CS->>Redis: SET ai:job:status:{jobId}
+
+    %% 7. 이벤트 추천안 생성
+    ARS->>ARS: createRecommendations(message, trendAnalysis)
+    ARS->>ARS: circuitBreakerManager.executeWithCircuitBreaker()
+    ARS->>CAC: sendMessage(apiKey, version, request)
+    CAC->>Claude: POST /v1/messages
+    Note over Claude: Model: claude-sonnet-4-5<br/>System: "이벤트 기획 전문가"<br/>Prompt: 3가지 추천안 생성
+    Claude-->>CAC: ClaudeResponse
+    CAC-->>ARS: ClaudeResponse
+
+    ARS->>ARS: parseRecommendationResponse(responseText)
+
+    %% 8. Job 상태: PROCESSING (90%)
+    ARS->>JSS: updateJobStatus(jobId, PROCESSING, "결과 저장 중")
+    JSS->>CS: saveJobStatus(jobId, status)
+    CS->>Redis: SET ai:job:status:{jobId}
+
+    %% 9. 결과 저장
+    ARS->>CS: saveRecommendation(eventId, result)
+    CS->>Redis: SET ai:recommendation:{eventId} (TTL: 24시간)
+
+    %% 10. Job 상태: COMPLETED (100%)
+    ARS->>JSS: updateJobStatus(jobId, COMPLETED, "AI 추천 완료")
+    JSS->>CS: saveJobStatus(jobId, status)
+    CS->>Redis: SET ai:job:status:{jobId}
+
+    deactivate ARS
+
+    %% 11. Kafka ACK
+    Consumer->>Kafka: acknowledgment.acknowledge()
+```
+
+---
+
+## 2. Job 상태 조회 워크플로우 (동기)
+
+```mermaid
+sequenceDiagram
+    participant ES as Event Service
+    participant Controller as InternalJobController
+    participant JSS as JobStatusService
+    participant CS as CacheService
+    participant Redis as Redis
+
+    %% 1. Event Service가 Job 상태 조회
+    ES->>Controller: GET /api/v1/ai-service/internal/jobs/{jobId}/status
+
+    %% 2. Job 상태 조회
+    Controller->>JSS: getJobStatus(jobId)
+    activate JSS
+
+    JSS->>CS: getJobStatus(jobId)
+    CS->>Redis: GET ai:job:status:{jobId}
+
+    alt 상태 존재
+        Redis-->>CS: JobStatusResponse
+        CS-->>JSS: Object (JobStatusResponse)
+        JSS->>JSS: objectMapper.convertValue()
+        JSS-->>Controller: JobStatusResponse
+        Controller-->>ES: 200 OK + JobStatusResponse
+    else 상태 없음
+        Redis-->>CS: null
+        CS-->>JSS: null
+        JSS-->>Controller: JobNotFoundException
+        Controller-->>ES: 404 Not Found
+    end
+
+    deactivate JSS
+```
+
+---
+
+## 3. AI 추천 결과 조회 워크플로우 (동기)
+
+```mermaid
+sequenceDiagram
+    participant ES as Event Service
+    participant Controller as InternalRecommendationController
+    participant ARS as AIRecommendationService
+    participant CS as CacheService
+    participant Redis as Redis
+
+    %% 1. Event Service가 AI 추천 결과 조회
+    ES->>Controller: GET /api/v1/ai-service/internal/recommendations/{eventId}
+
+    %% 2. 추천 결과 조회
+    Controller->>ARS: getRecommendation(eventId)
+    activate ARS
+
+    ARS->>CS: getRecommendation(eventId)
+    CS->>Redis: GET ai:recommendation:{eventId}
+
+    alt 결과 존재
+        Redis-->>CS: AIRecommendationResult
+        CS-->>ARS: Object (AIRecommendationResult)
+        ARS->>ARS: objectMapper.convertValue()
+        ARS-->>Controller: AIRecommendationResult
+        Controller-->>ES: 200 OK + AIRecommendationResult
+    else 결과 없음
+        Redis-->>CS: null
+        CS-->>ARS: null
+        ARS-->>Controller: RecommendationNotFoundException
+        Controller-->>ES: 404 Not Found
+    end
+
+    deactivate ARS
+```
+
+---
+
+## 4. 헬스체크 워크플로우 (동기)
+
+```mermaid
+sequenceDiagram
+    participant Client as Client/Actuator
+    participant Controller as HealthController
+    participant Redis as Redis
+
+    %% 1. 헬스체크 요청
+    Client->>Controller: GET /api/v1/ai-service/health
+
+    %% 2. Redis 상태 확인
+    Controller->>Controller: checkRedis()
+
+    alt RedisTemplate 존재
+        Controller->>Redis: PING
+        alt Redis 정상
+            Redis-->>Controller: PONG
+            Controller->>Controller: redisStatus = UP
+        else Redis 오류
+            Redis-->>Controller: Exception
+            Controller->>Controller: redisStatus = DOWN
+        end
+    else RedisTemplate 없음
+        Controller->>Controller: redisStatus = UNKNOWN
+    end
+
+    %% 3. 전체 상태 판단
+    alt Redis DOWN
+        Controller->>Controller: overallStatus = DEGRADED
+    else Redis UP/UNKNOWN
+        Controller->>Controller: overallStatus = UP
+    end
+
+    %% 4. 응답
+    Controller-->>Client: 200 OK + HealthCheckResponse
+```
+
+---
+
+## 5. 주요 컴포넌트 메서드 목록
+
+### 5.1 Controller Layer
+
+#### InternalJobController
+| 메서드 | HTTP | 엔드포인트 | 설명 |
+|--------|------|-----------|------|
+| `getJobStatus(jobId)` | GET | `/api/v1/ai-service/internal/jobs/{jobId}/status` | Job 상태 조회 |
+| `createTestJob(jobId)` | GET | `/api/v1/ai-service/internal/jobs/debug/create-test-job/{jobId}` | 테스트 Job 생성 (디버그) |
+
+#### InternalRecommendationController
+| 메서드 | HTTP | 엔드포인트 | 설명 |
+|--------|------|-----------|------|
+| `getRecommendation(eventId)` | GET | `/api/v1/ai-service/internal/recommendations/{eventId}` | AI 추천 결과 조회 |
+| `debugRedisKeys()` | GET | `/api/v1/ai-service/internal/recommendations/debug/redis-keys` | Redis 모든 키 조회 |
+| `debugRedisKey(key)` | GET | `/api/v1/ai-service/internal/recommendations/debug/redis-key/{key}` | Redis 특정 키 조회 |
+| `searchAllDatabases()` | GET | `/api/v1/ai-service/internal/recommendations/debug/search-all-databases` | 전체 DB 검색 |
+| `createTestData(eventId)` | GET | `/api/v1/ai-service/internal/recommendations/debug/create-test-data/{eventId}` | 테스트 데이터 생성 |
+
+#### HealthController
+| 메서드 | HTTP | 엔드포인트 | 설명 |
+|--------|------|-----------|------|
+| `healthCheck()` | GET | `/api/v1/ai-service/health` | 서비스 헬스체크 |
+| `checkRedis()` | - | (내부) | Redis 연결 확인 |
+
+---
+
+### 5.2 Service Layer
+
+#### AIRecommendationService
+| 메서드 | 호출자 | 설명 |
+|--------|-------|------|
+| `getRecommendation(eventId)` | Controller | Redis에서 추천 결과 조회 |
+| `generateRecommendations(message)` | AIJobConsumer | AI 추천 생성 (전체 프로세스) |
+| `analyzeTrend(message)` | 내부 | 트렌드 분석 (캐시 확인 포함) |
+| `createRecommendations(message, trendAnalysis)` | 내부 | 이벤트 추천안 생성 |
+| `callClaudeApiForRecommendations(message, trendAnalysis)` | 내부 | Claude API 호출 (추천안) |
+| `buildRecommendationPrompt(message, trendAnalysis)` | 내부 | 추천안 프롬프트 생성 |
+| `parseRecommendationResponse(responseText)` | 내부 | 추천안 응답 파싱 |
+| `parseEventRecommendation(node)` | 내부 | EventRecommendation 파싱 |
+| `parseRange(node)` | 내부 | Range 객체 파싱 |
+| `extractJsonFromMarkdown(text)` | 내부 | Markdown에서 JSON 추출 |
+
+#### TrendAnalysisService
+| 메서드 | 호출자 | 설명 |
+|--------|-------|------|
+| `analyzeTrend(industry, region)` | AIRecommendationService | 트렌드 분석 수행 |
+| `callClaudeApi(industry, region)` | 내부 | Claude API 호출 (트렌드) |
+| `buildPrompt(industry, region)` | 내부 | 트렌드 분석 프롬프트 생성 |
+| `parseResponse(responseText)` | 내부 | 트렌드 응답 파싱 |
+| `extractJsonFromMarkdown(text)` | 내부 | Markdown에서 JSON 추출 |
+| `parseTrendKeywords(arrayNode)` | 내부 | TrendKeyword 리스트 파싱 |
+
+#### JobStatusService
+| 메서드 | 호출자 | 설명 |
+|--------|-------|------|
+| `getJobStatus(jobId)` | Controller | Job 상태 조회 |
+| `updateJobStatus(jobId, status, message)` | AIRecommendationService | Job 상태 업데이트 |
+| `calculateProgress(status)` | 내부 | 상태별 진행률 계산 |
+
+#### CacheService
+| 메서드 | 호출자 | 설명 |
+|--------|-------|------|
+| `set(key, value, ttlSeconds)` | 내부 | 범용 캐시 저장 |
+| `get(key)` | 내부 | 범용 캐시 조회 |
+| `delete(key)` | 외부 | 캐시 삭제 |
+| `saveJobStatus(jobId, status)` | JobStatusService | Job 상태 저장 |
+| `getJobStatus(jobId)` | JobStatusService | Job 상태 조회 |
+| `saveRecommendation(eventId, recommendation)` | AIRecommendationService | AI 추천 결과 저장 |
+| `getRecommendation(eventId)` | AIRecommendationService | AI 추천 결과 조회 |
+| `saveTrend(industry, region, trend)` | AIRecommendationService | 트렌드 분석 결과 저장 |
+| `getTrend(industry, region)` | AIRecommendationService | 트렌드 분석 결과 조회 |
+
+---
+
+### 5.3 Consumer Layer
+
+#### AIJobConsumer
+| 메서드 | 트리거 | 설명 |
+|--------|-------|------|
+| `consume(message, topic, offset, ack)` | Kafka Message | Kafka 메시지 수신 및 처리 |
+
+---
+
+### 5.4 Client Layer
+
+#### ClaudeApiClient (Feign)
+| 메서드 | 호출자 | 설명 |
+|--------|-------|------|
+| `sendMessage(apiKey, anthropicVersion, request)` | TrendAnalysisService, AIRecommendationService | Claude API 호출 |
+
+---
+
+## 6. Redis 캐시 키 구조
+
+| 키 패턴 | 설명 | TTL |
+|--------|------|-----|
+| `ai:job:status:{jobId}` | Job 상태 정보 | 24시간 (86400초) |
+| `ai:recommendation:{eventId}` | AI 추천 결과 | 24시간 (86400초) |
+| `ai:trend:{industry}:{region}` | 트렌드 분석 결과 | 1시간 (3600초) |
+
+---
+
+## 7. Claude API 호출 정보
+
+### 7.1 트렌드 분석
+- **URL**: `https://api.anthropic.com/v1/messages`
+- **Model**: `claude-sonnet-4-5-20250929`
+- **Max Tokens**: 4096
+- **Temperature**: 0.7
+- **System Prompt**: "당신은 마케팅 트렌드 분석 전문가입니다. 업종별, 지역별 트렌드를 분석하고 인사이트를 제공합니다."
+- **응답 형식**: JSON (industryTrends, regionalTrends, seasonalTrends)
+
+### 7.2 이벤트 추천안 생성
+- **URL**: `https://api.anthropic.com/v1/messages`
+- **Model**: `claude-sonnet-4-5-20250929`
+- **Max Tokens**: 4096
+- **Temperature**: 0.7
+- **System Prompt**: "당신은 소상공인을 위한 마케팅 이벤트 기획 전문가입니다. 트렌드 분석을 바탕으로 실행 가능한 이벤트 추천안을 제공합니다."
+- **응답 형식**: JSON (recommendations: 3가지 옵션)
+
+---
+
+## 8. Circuit Breaker 설정
+
+### 적용 대상
+- `claudeApi`: 모든 Claude API 호출
+
+### 설정값
+```yaml
+failure-rate-threshold: 50%
+slow-call-duration-threshold: 60초
+sliding-window-size: 10
+minimum-number-of-calls: 5
+wait-duration-in-open-state: 60초
+timeout-duration: 300초 (5분)
+```
+
+### Fallback 메서드
+- `AIServiceFallback.getDefaultTrendAnalysis()`: 기본 트렌드 분석
+- `AIServiceFallback.getDefaultRecommendations()`: 기본 추천안
+
+---
+
+## 9. 에러 처리
+
+### Exception 종류
+| Exception | HTTP Code | 발생 조건 |
+|-----------|-----------|---------|
+| `RecommendationNotFoundException` | 404 | Redis에 추천 결과 없음 |
+| `JobNotFoundException` | 404 | Redis에 Job 상태 없음 |
+| `AIServiceException` | 500 | AI 서비스 내부 오류 |
+
+### 에러 응답 예시
+```json
+{
+  "timestamp": "2025-10-30T15:30:00",
+  "status": 404,
+  "error": "Not Found",
+  "message": "추천 결과를 찾을 수 없습니다: eventId=evt-123",
+  "path": "/api/v1/ai-service/internal/recommendations/evt-123"
+}
+```
+
+---
+
+## 10. 로깅 레벨
+
+```yaml
+com.kt.ai: DEBUG
+org.springframework.kafka: INFO
+org.springframework.data.redis: INFO
+io.github.resilience4j: DEBUG
+```

distribution-service/.run/distribution-service.run.xml

@@ -11,6 +11,11 @@
           <entry key="KAKAO_API_URL" value="http://localhost:9006/api/kakao" />
           <entry key="LOG_FILE" value="logs/distribution-service.log" />
           <entry key="NAVER_API_URL" value="http://localhost:9005/api/naver" />
+          <entry key="NAVER_BLOG_BLOG_ID" value="bokchi_13" />
+          <entry key="NAVER_BLOG_HEADLESS" value="false" />
+          <entry key="NAVER_BLOG_PASSWORD" value="" />
+          <entry key="NAVER_BLOG_SESSION_PATH" value="playwright-sessions" />
+          <entry key="NAVER_BLOG_USERNAME" value="" />
           <entry key="RINGOBIZ_API_URL" value="http://localhost:9002/api/ringobiz" />
           <entry key="SERVER_PORT" value="8085" />
           <entry key="URIDONGNETV_API_URL" value="http://localhost:9001/api/uridongnetv" />

distribution-service/Dockerfile

@@ -1,15 +1,40 @@
 # Multi-stage build for Spring Boot application
-FROM eclipse-temurin:21-jre-alpine AS builder
+FROM eclipse-temurin:21-jre AS builder
 WORKDIR /app
 COPY build/libs/*.jar app.jar
 RUN java -Djarmode=layertools -jar app.jar extract
 
-FROM eclipse-temurin:21-jre-alpine
+FROM eclipse-temurin:21-jre
 WORKDIR /app
 
-# Create non-root user
+# Install Playwright essential dependencies only
-RUN addgroup -S spring && adduser -S spring -G spring
+RUN apt-get update && apt-get install -y --no-install-recommends \
-USER spring:spring
+    wget \
+    libnss3 \
+    libnspr4 \
+    libatk1.0-0 \
+    libatk-bridge2.0-0 \
+    libcups2 \
+    libdrm2 \
+    libdbus-1-3 \
+    libxkbcommon0 \
+    libxcomposite1 \
+    libxdamage1 \
+    libxfixes3 \
+    libxrandr2 \
+    libgbm1 \
+    libasound2t64 \
+    libpango-1.0-0 \
+    libcairo2 \
+    libatspi2.0-0 \
+    libxshmfence1 \
+    fonts-liberation \
+    libappindicator3-1 \
+    xdg-utils \
+    && rm -rf /var/lib/apt/lists/*
+
+# Create browser installation directory with proper permissions
+RUN mkdir -p /app/playwright && chmod 777 /app/playwright
 
 # Copy layers from builder
 COPY --from=builder /app/dependencies/ ./
@@ -17,6 +42,17 @@ COPY --from=builder /app/spring-boot-loader/ ./
 COPY --from=builder /app/snapshot-dependencies/ ./
 COPY --from=builder /app/application/ ./
 
+# Set Playwright browsers path
+ENV PLAYWRIGHT_BROWSERS_PATH=/app/playwright
+
+# Create non-root user
+RUN groupadd -r spring && useradd -r -g spring spring
+
+# Change ownership to spring user
+RUN chown -R spring:spring /app
+
+USER spring:spring
+
 # Health check
 HEALTHCHECK --interval=30s --timeout=3s --start-period=60s --retries=3 \
   CMD wget --no-verbose --tries=1 --spider http://localhost:8085/distribution/actuator/health || exit 1

distribution-service/NAVER_BLOG_SETUP.md

@@ -0,0 +1,248 @@
+# 네이버 블로그 포스팅 설정 가이드
+
+## 개요
+Distribution Service는 Playwright를 사용하여 네이버 블로그에 자동으로 포스팅합니다.
+
+## 사전 준비
+
+### 1. Playwright 설치
+처음 실행 시 Playwright 브라우저가 자동으로 다운로드됩니다. 수동으로 설치하려면:
+
+```bash
+# Windows (PowerShell)
+mvn exec:java -e -D exec.mainClass=com.microsoft.playwright.CLI -D exec.args="install chromium"
+
+# Linux/Mac
+mvn exec:java -e -D exec.mainClass=com.microsoft.playwright.CLI -D exec.args="install chromium"
+```
+
+### 2. 네이버 계정 준비
+- 네이버 계정 (아이디/비밀번호)
+- 네이버 블로그 개설 (blog.naver.com에서 블로그 만들기)
+- 블로그 ID 확인 (예: blog.naver.com/YOUR_BLOG_ID)
+
+## 환경 변수 설정
+
+### IntelliJ 실행 프로파일 설정
+`.run/DistributionServiceApplication.run.xml` 파일에서 다음 환경 변수를 설정:
+
+```xml
+<env name="NAVER_BLOG_USERNAME" value="your_naver_id" />
+<env name="NAVER_BLOG_PASSWORD" value="your_password" />
+<env name="NAVER_BLOG_BLOG_ID" value="your_blog_id" />
+<env name="NAVER_BLOG_HEADLESS" value="false" />  <!-- 브라우저 표시 여부 -->
+<env name="NAVER_BLOG_SESSION_PATH" value="playwright-sessions" />
+```
+
+### 환경 변수 설명
+
+| 환경 변수 | 설명 | 기본값 | 필수 |
+|----------|------|--------|------|
+| `NAVER_BLOG_USERNAME` | 네이버 아이디 | - | ✅ |
+| `NAVER_BLOG_PASSWORD` | 네이버 비밀번호 | - | ✅ |
+| `NAVER_BLOG_BLOG_ID` | 네이버 블로그 ID | - | ✅ |
+| `NAVER_BLOG_HEADLESS` | Headless 모드 (true/false) | true | ❌ |
+| `NAVER_BLOG_SESSION_PATH` | 세션 저장 경로 | playwright-sessions | ❌ |
+
+### Headless 모드
+- **false**: 브라우저 창이 표시되어 디버깅에 유용 (개발 환경 권장)
+- **true**: 백그라운드 실행, 서버 환경에 적합 (운영 환경 권장)
+
+## 사용 방법
+
+### API 호출 예시
+
+```bash
+# 배포 요청
+curl -X POST http://localhost:8085/distribution/api/v1/distributions \
+  -H "Content-Type: application/json" \
+  -d '{
+    "eventId": "EVT001",
+    "title": "신규 이벤트 안내",
+    "content": "이벤트 상세 내용입니다.",
+    "imageUrl": "https://example.com/event.jpg",
+    "channels": ["NAVER"]
+  }'
+```
+
+### 응답 예시
+
+```json
+{
+  "eventId": "EVT001",
+  "status": "SUCCESS",
+  "totalChannels": 1,
+  "successCount": 1,
+  "failureCount": 0,
+  "channels": [
+    {
+      "channel": "NAVER",
+      "success": true,
+      "distributionId": "NAVER-abc123",
+      "distributionUrl": "https://blog.naver.com/your_blog_id/222999999999",
+      "estimatedReach": 2000,
+      "executionTimeMs": 5234
+    }
+  ],
+  "distributedAt": "2025-10-29T10:30:00"
+}
+```
+
+## 세션 관리
+
+### 자동 로그인
+- 최초 실행 시 네이버에 로그인하고 세션이 저장됩니다
+- 이후 요청은 저장된 세션을 사용하여 로그인 없이 진행됩니다
+- 세션 파일 위치: `playwright-sessions/naver-blog-session.json`
+
+### 세션 만료 시
+세션이 만료되면 자동으로 재로그인을 시도합니다.
+
+### 수동 세션 초기화
+```bash
+# 세션 파일 삭제
+rm -rf playwright-sessions/naver-blog-session.json
+```
+
+## 문제 해결
+
+### 1. 로그인 실패
+**증상**: "Login failed" 에러 발생
+
+**해결 방법**:
+- 네이버 아이디/비밀번호 확인
+- 네이버 로그인 보안 설정 확인 (캡차, 2단계 인증 등)
+- Headless 모드를 false로 설정하여 브라우저 동작 확인
+- 세션 파일 삭제 후 재시도
+
+### 2. 브라우저 실행 실패
+**증상**: "Failed to initialize Playwright" 에러
+
+**해결 방법**:
+```bash
+# Playwright 브라우저 재설치
+mvn exec:java -e -D exec.mainClass=com.microsoft.playwright.CLI -D exec.args="install chromium"
+```
+
+### 3. 포스팅 실패
+**증상**: 포스팅 URL이 반환되지 않음
+
+**해결 방법**:
+- Headless 모드를 false로 설정하여 UI 확인
+- 네이버 블로그 에디터 구조 변경 여부 확인
+- 로그 확인: `logs/distribution-service.log`
+
+### 4. 성능 이슈
+브라우저 자동화는 리소스를 많이 사용하므로:
+- Resilience4j Bulkhead 설정으로 동시 실행 제한 (현재 10개)
+- Circuit Breaker로 반복 실패 방지
+- 실패 시 자동 재시도 (최대 3회)
+
+## 보안 고려사항
+
+### 1. 비밀번호 관리
+- **절대로** 소스 코드에 비밀번호를 하드코딩하지 마세요
+- 환경 변수 또는 시크릿 관리 서비스 사용
+- Git에 `.run/*.xml` 파일을 커밋하지 마세요 (`.gitignore` 추가)
+
+### 2. 세션 파일 보안
+- `playwright-sessions/` 디렉토리를 `.gitignore`에 추가
+- 서버 환경에서 파일 권한 설정 (chmod 600)
+
+### 3. 네트워크 보안
+- HTTPS만 사용
+- 프록시 사용 시 안전한 프록시 설정
+
+## 운영 환경 배포
+
+### Docker 환경
+```dockerfile
+# Dockerfile에 Playwright 설치 추가
+RUN apt-get update && apt-get install -y \
+    libnss3 \
+    libatk-bridge2.0-0 \
+    libdrm2 \
+    libxkbcommon0 \
+    libgbm1 \
+    libasound2
+
+# Playwright 브라우저 설치
+RUN mvn exec:java -e -D exec.mainClass=com.microsoft.playwright.CLI -D exec.args="install chromium"
+```
+
+### Kubernetes 환경
+```yaml
+apiVersion: v1
+kind: Secret
+metadata:
+  name: naver-blog-credentials
+type: Opaque
+stringData:
+  username: your_naver_id
+  password: your_password
+  blog-id: your_blog_id
+---
+apiVersion: apps/v1
+kind: Deployment
+spec:
+  template:
+    spec:
+      containers:
+      - name: distribution-service
+        env:
+        - name: NAVER_BLOG_USERNAME
+          valueFrom:
+            secretKeyRef:
+              name: naver-blog-credentials
+              key: username
+        - name: NAVER_BLOG_PASSWORD
+          valueFrom:
+            secretKeyRef:
+              name: naver-blog-credentials
+              key: password
+        - name: NAVER_BLOG_BLOG_ID
+          valueFrom:
+            secretKeyRef:
+              name: naver-blog-credentials
+              key: blog-id
+        - name: NAVER_BLOG_HEADLESS
+          value: "true"
+```
+
+## 제약사항
+
+1. **동시 실행 제한**: Bulkhead 설정으로 최대 10개 동시 실행
+2. **실행 시간**: 브라우저 자동화는 API 호출보다 느림 (평균 5-10초)
+3. **네이버 정책**: 네이버 블로그 정책 변경 시 업데이트 필요
+4. **UI 변경**: 네이버 블로그 UI 변경 시 코드 수정 필요
+
+## 모니터링
+
+### 로그 확인
+```bash
+# 실시간 로그
+tail -f logs/distribution-service.log
+
+# 에러만 필터
+grep ERROR logs/distribution-service.log
+```
+
+### 주요 로그 메시지
+- `Initializing Playwright for Naver Blog`: Playwright 초기화
+- `Starting Naver login process`: 로그인 시작
+- `Naver login successful`: 로그인 성공
+- `Post published successfully`: 포스팅 성공
+- `Failed to post to Naver blog`: 포스팅 실패
+
+## 참고 자료
+
+- [Playwright for Java](https://playwright.dev/java/)
+- [네이버 블로그 고객센터](https://help.naver.com/service/5614/)
+- [Resilience4j 문서](https://resilience4j.readme.io/)
+
+## 지원
+
+문제 발생 시:
+1. 로그 파일 확인: `logs/distribution-service.log`
+2. Headless 모드를 false로 설정하여 브라우저 동작 확인
+3. GitHub Issue 등록 (로그 첨부)

distribution-service/build.gradle

@@ -15,6 +15,9 @@ dependencies {
     implementation "io.github.resilience4j:resilience4j-retry:${resilience4jVersion}"
     implementation "io.github.resilience4j:resilience4j-bulkhead:${resilience4jVersion}"
 
+    // Playwright for browser automation
+    implementation 'com.microsoft.playwright:playwright:1.41.0'
+
     // Jackson for JSON
     implementation 'com.fasterxml.jackson.core:jackson-databind'
 }

distribution-service/src/main/java/com/kt/distribution/adapter/NaverAdapter.java

@@ -1,27 +1,30 @@
 package com.kt.distribution.adapter;
 
+import com.kt.distribution.client.NaverBlogClient;
 import com.kt.distribution.dto.ChannelDistributionResult;
 import com.kt.distribution.dto.ChannelType;
 import com.kt.distribution.dto.DistributionRequest;
+import lombok.RequiredArgsConstructor;
 import lombok.extern.slf4j.Slf4j;
-import org.springframework.beans.factory.annotation.Value;
+import org.springframework.boot.autoconfigure.condition.ConditionalOnProperty;
 import org.springframework.stereotype.Component;
 
 import java.util.UUID;
 
 /**
  * Naver Blog Adapter
- * Naver Blog 포스팅 API 호출
+ * Naver Blog 포스팅 (Playwright 기반)
  *
- * @author System Architect
+ * @author Backend Developer
- * @since 2025-10-23
+ * @since 2025-10-29
  */
 @Slf4j
 @Component
+@RequiredArgsConstructor
+@ConditionalOnProperty(name = "naver.blog.enabled", havingValue = "true", matchIfMissing = false)
 public class NaverAdapter extends AbstractChannelAdapter {
 
-    @Value("${channel.apis.naver.url}")
+    private final NaverBlogClient naverBlogClient;
-    private String apiUrl;
 
     @Override
     public ChannelType getChannelType() {
@@ -30,16 +33,35 @@ public class NaverAdapter extends AbstractChannelAdapter {
 
     @Override
     protected ChannelDistributionResult executeDistribution(DistributionRequest request) {
-        log.debug("Calling Naver API: url={}, eventId={}", apiUrl, request.getEventId());
+        log.debug("Posting to Naver Blog: eventId={}, title={}",
+                request.getEventId(), request.getTitle());
 
-        // TODO: 실제 API 호출 (현재는 Mock)
+        try {
-        String distributionId = "NAVER-" + UUID.randomUUID().toString();
+            // 네이버 블로그에 포스팅
+            String postUrl = naverBlogClient.postToBlog(request);
+            String distributionId = "NAVER-" + UUID.randomUUID().toString();
 
-        return ChannelDistributionResult.builder()
+            log.info("Naver blog post created successfully: eventId={}, postUrl={}",
-                .channel(ChannelType.NAVER)
+                    request.getEventId(), postUrl);
-                .success(true)
+
-                .distributionId(distributionId)
+            return ChannelDistributionResult.builder()
-                .estimatedReach(2000) // 블로그 방문자 수 기반
+                    .channel(ChannelType.NAVER)
-                .build();
+                    .success(true)
+                    .distributionId(distributionId)
+                    .postUrl(postUrl)
+                    .estimatedReach(2000) // 블로그 방문자 수 기반
+                    .build();
+
+        } catch (Exception e) {
+            log.error("Failed to post to Naver blog: eventId={}, error={}",
+                    request.getEventId(), e.getMessage(), e);
+
+            return ChannelDistributionResult.builder()
+                    .channel(ChannelType.NAVER)
+                    .success(false)
+                    .errorMessage("Naver blog posting failed: " + e.getMessage())
+                    .estimatedReach(0)
+                    .build();
+        }
     }
 }

distribution-service/src/main/java/com/kt/distribution/client/NaverBlogClient.java

@@ -0,0 +1,319 @@
+package com.kt.distribution.client;
+
+import com.kt.distribution.dto.DistributionRequest;
+import com.microsoft.playwright.*;
+import com.microsoft.playwright.options.LoadState;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.beans.factory.annotation.Value;
+import org.springframework.boot.autoconfigure.condition.ConditionalOnProperty;
+import org.springframework.stereotype.Component;
+
+import jakarta.annotation.PostConstruct;
+import jakarta.annotation.PreDestroy;
+import java.io.File;
+import java.nio.file.Files;
+import java.nio.file.Path;
+import java.nio.file.Paths;
+
+/**
+ * Naver Blog Client using Playwright
+ * 네이버 블로그 포스팅 자동화 클라이언트
+ *
+ * @author Backend Developer
+ * @since 2025-10-29
+ */
+@Slf4j
+@Component
+@ConditionalOnProperty(name = "naver.blog.enabled", havingValue = "true", matchIfMissing = false)
+public class NaverBlogClient {
+
+    @Value("${naver.blog.username:}")
+    private String username;
+
+    @Value("${naver.blog.password:}")
+    private String password;
+
+    @Value("${naver.blog.blog-id:}")
+    private String blogId;
+
+    @Value("${naver.blog.headless:false}")
+    private boolean headless;
+
+    @Value("${naver.blog.session-path:playwright-sessions}")
+    private String sessionPath;
+
+    private Playwright playwright;
+    private Browser browser;
+    private BrowserContext context;
+
+    /**
+     * Playwright 초기화
+     */
+    @PostConstruct
+    public void init() {
+        try {
+            log.info("Initializing Playwright for Naver Blog");
+            playwright = Playwright.create();
+
+            browser = playwright.chromium().launch(new BrowserType.LaunchOptions()
+                    .setHeadless(headless)
+                    .setSlowMo(100)); // 안정성을 위한 느린 실행
+
+            // 세션 디렉토리 생성
+            File sessionDir = new File(sessionPath);
+            if (!sessionDir.exists()) {
+                sessionDir.mkdirs();
+                log.info("Created session directory: {}", sessionPath);
+            }
+
+            // 세션 파일 경로
+            Path sessionFilePath = Paths.get(sessionPath, "naver-blog-session.json");
+
+            // 세션 파일이 있으면 로드, 없으면 새로운 컨텍스트 생성
+            if (Files.exists(sessionFilePath)) {
+                log.info("Loading existing session from: {}", sessionFilePath);
+                context = browser.newContext(new Browser.NewContextOptions()
+                        .setStorageStatePath(sessionFilePath));
+            } else {
+                log.info("No existing session found, creating new context");
+                context = browser.newContext();
+            }
+
+            log.info("Playwright initialized successfully");
+        } catch (Exception e) {
+            log.error("Failed to initialize Playwright", e);
+            throw new RuntimeException("Playwright initialization failed", e);
+        }
+    }
+
+    /**
+     * 네이버 블로그에 포스팅
+     *
+     * @param request DistributionRequest
+     * @return 포스팅 URL
+     * @throws Exception 포스팅 실패 시
+     */
+    public String postToBlog(DistributionRequest request) throws Exception {
+        Page page = null;
+        try {
+            page = context.newPage();
+            // 타임아웃을 5분(300000ms)으로 설정
+            page.setDefaultTimeout(300000);
+
+            // 로그인 확인 및 처리
+            if (!isLoggedIn(page)) {
+                login(page);
+            }
+
+            // 블로그 글쓰기 페이지로 이동
+            String writeUrl = String.format("https://blog.naver.com/%s/postwrite", blogId);
+            page.navigate(writeUrl);
+            page.waitForLoadState(LoadState.NETWORKIDLE);
+
+
+            // 도움말 팝업이 있으면 닫기
+            try {
+                page.waitForTimeout(5000); // 충분히 대기 필요
+
+                Locator helpPanel = page.locator("[class*='help-panel']");
+
+                if (helpPanel.isVisible(new Locator.IsVisibleOptions().setTimeout(2000))) {
+                    log.debug("Help dialog detected, closing it");
+
+                    // 팝업 안의 닫기 버튼 찾기
+                    Locator closeBtn = page.locator("button[class*='se-help-panel-close-button']");
+                    closeBtn.click();
+                    Thread.sleep(500);
+                    log.debug("Help dialog closed");
+                } else{
+                    log.debug("--------------------- 도움말 없음");
+                }
+            } catch (Exception e) {
+                log.debug("No help dialog found or already closed");
+            }
+
+            // 제목 입력
+            Locator titleInput = page.locator(".se-text-paragraph").first();
+            titleInput.click();
+            titleInput.pressSequentially(request.getTitle(), new Locator.PressSequentiallyOptions().setDelay(50));
+            log.debug("Title entered: {}", request.getTitle());
+
+            // 본문 입력
+            Locator editorInput = page.locator(".se-text-paragraph").nth(1);
+            editorInput.click();
+            titleInput.pressSequentially(request.getDescription(), new Locator.PressSequentiallyOptions().setDelay(50));
+            log.debug("Content entered");
+
+            // 이미지가 있으면 업로드
+            if (request.getImageUrl() != null && !request.getImageUrl().isEmpty()) {
+                uploadImage(page, request.getImageUrl());
+            }
+
+            // 발행 버튼 클릭
+            page.locator("button[class*='publish_btn']").click();
+            page.waitForLoadState(LoadState.NETWORKIDLE);
+            page.locator("button[class*='confirm_btn']").click();
+            page.waitForLoadState(LoadState.NETWORKIDLE);
+
+            page.waitForTimeout(5000); // 충분히 대기 필요
+
+            // 포스팅 URL 가져오기
+            String postUrl = page.url();
+            log.info("Post published successfully: {}", postUrl);
+
+            return postUrl;
+
+        } catch (Exception e) {
+            log.error("Failed to post to Naver blog: eventId={}, error={}",
+                    request.getEventId(), e.getMessage(), e);
+            throw e;
+        } finally {
+            if (page != null) {
+                page.close();
+            }
+        }
+    }
+
+    /**
+     * 로그인 상태 확인
+     *
+     * @param page Page
+     * @return 로그인 여부
+     */
+    private boolean isLoggedIn(Page page) {
+        try {
+            page.navigate("https://blog.naver.com");
+            page.waitForLoadState(LoadState.NETWORKIDLE);
+
+            // 로그인 버튼이 보이지 않으면 로그인된 상태
+            // ID 기반 선택자 사용으로 strict mode violation 방지
+            return !page.locator("#gnb_login_button").isVisible();
+        } catch (Exception e) {
+            log.warn("Failed to check login status", e);
+            return false;
+        }
+    }
+
+    /**
+     * 네이버 로그인 (수동 로그인 대기 방식)
+     *
+     * @param page Page
+     * @throws Exception 로그인 실패 시
+     */
+    private void login(Page page) throws Exception {
+        try {
+            log.info("Starting Naver manual login process");
+            log.info("=================================================");
+            log.info("Please login manually in the browser window");
+            log.info("브라우저 창에서 수동으로 로그인해주세요");
+            log.info("=================================================");
+
+            // 네이버 로그인 페이지로 이동
+            page.navigate("https://nid.naver.com/nidlogin.login");
+            page.waitForLoadState(LoadState.NETWORKIDLE);
+
+            // 사용자가 수동으로 로그인할 때까지 대기 (URL이 변경될 때까지)
+            // 로그인 성공 시 URL이 nid.naver.com에서 벗어남
+            log.info("Waiting for manual login... (Timeout: 30 seconds)");
+
+            try {
+                // 30초 동안 URL이 nid.naver.com을 벗어날 때까지 대기
+                page.waitForURL(url -> !url.contains("nid.naver.com"),
+                    new Page.WaitForURLOptions().setTimeout(30000));
+
+                log.info("Login URL changed, assuming login successful");
+
+            } catch (Exception e) {
+                log.error("Login timeout or failed", e);
+                throw new Exception("Manual login timeout or failed after 30 seconds");
+            }
+
+            // 추가 안정화 대기
+            page.waitForLoadState(LoadState.NETWORKIDLE);
+            Thread.sleep(2000); // 2초 추가 대기
+
+            // 세션 저장
+            context.storageState(new BrowserContext.StorageStateOptions()
+                    .setPath(Paths.get(sessionPath, "naver-blog-session.json")));
+
+            log.info("Naver manual login successful, session saved");
+            log.info("Current URL: {}", page.url());
+
+        } catch (Exception e) {
+            log.error("Naver manual login process failed", e);
+            throw new Exception("Naver manual login failed: " + e.getMessage(), e);
+        }
+    }
+
+    /**
+     * 이미지 업로드
+     *
+     * @param page Page
+     * @param imageUrl 이미지 URL
+     */
+    private void uploadImage(Page page, String imageUrl) {
+        try {
+            log.debug("Uploading image: {}", imageUrl);
+
+            // 이미지 업로드 버튼 클릭
+            page.locator("button[aria-label='사진']").click();
+
+            // URL로 이미지 추가 (실제 구현은 네이버 블로그 UI에 따라 조정 필요)
+            // 여기서는 간단히 로그만 남김
+            log.info("Image upload placeholder - URL: {}", imageUrl);
+
+        } catch (Exception e) {
+            log.warn("Failed to upload image: {}", e.getMessage());
+        }
+    }
+
+    /**
+     * Playwright 리소스 정리
+     */
+    @PreDestroy
+    public void cleanup() {
+        try {
+            if (context != null) {
+                context.close();
+            }
+            if (browser != null) {
+                browser.close();
+            }
+            if (playwright != null) {
+                playwright.close();
+            }
+            log.info("Playwright resources cleaned up");
+        } catch (Exception e) {
+            log.error("Failed to cleanup Playwright resources", e);
+        }
+    }
+
+    /**
+     * 수동으로 브라우저 컨텍스트 새로고침
+     * 장시간 사용 시 세션 만료 방지용
+     */
+    public void refreshContext() {
+        try {
+            if (context != null) {
+                context.close();
+            }
+
+            // 세션 파일 경로
+            Path sessionFilePath = Paths.get(sessionPath, "naver-blog-session.json");
+
+            // 세션 파일이 있으면 로드, 없으면 새로운 컨텍스트 생성
+            if (Files.exists(sessionFilePath)) {
+                log.info("Refreshing context with existing session");
+                context = browser.newContext(new Browser.NewContextOptions()
+                        .setStorageStatePath(sessionFilePath));
+            } else {
+                log.info("Refreshing context without session");
+                context = browser.newContext();
+            }
+
+            log.info("Browser context refreshed");
+        } catch (Exception e) {
+            log.error("Failed to refresh context", e);
+        }
+    }
+}

distribution-service/src/main/java/com/kt/distribution/dto/ChannelDistributionResult.java

@@ -32,6 +32,11 @@ public class ChannelDistributionResult {
      */
     private String distributionId;
 
+    /**
+     * 배포 URL (성공 시) - 실제 포스팅된 URL
+     */
+    private String postUrl;
+
     /**
      * 예상 노출 수 (성공 시)
      */

distribution-service/src/main/java/com/kt/distribution/service/DistributionService.java

@@ -225,6 +225,7 @@ public class DistributionService {
                 .channel(result.getChannel())
                 .status(result.isSuccess() ? "COMPLETED" : "FAILED")
                 .distributionId(result.getDistributionId())
+                .postUrl(result.getPostUrl())
                 .estimatedViews(result.getEstimatedReach())
                 .eventId(eventId)
                 .completedAt(completedAt)

distribution-service/src/main/resources/application.yml

@@ -126,10 +126,11 @@ channel:
 # Naver Blog Configuration (Playwright 기반)
 naver:
   blog:
+    enabled: ${NAVER_BLOG_ENABLED:false}
     username: ${NAVER_BLOG_USERNAME:}
     password: ${NAVER_BLOG_PASSWORD:}
     blog-id: ${NAVER_BLOG_ID:}
-    headless: ${NAVER_BLOG_HEADLESS:true}
+    headless: ${NAVER_BLOG_HEADLESS:false}
     session-path: ${NAVER_BLOG_SESSION_PATH:playwright-sessions}
 
 # Springdoc OpenAPI (Swagger)

event-service/Dockerfile

@@ -7,6 +7,9 @@ RUN java -Djarmode=layertools -jar app.jar extract
 FROM eclipse-temurin:21-jre-alpine
 WORKDIR /app
 
+# Install glibc compatibility for Snappy native library
+RUN apk add --no-cache gcompat
+
 # Create non-root user
 RUN addgroup -S spring && adduser -S spring -G spring
 USER spring:spring

event-service/src/main/java/com/kt/event/eventservice/application/dto/kafka/AIEventGenerationJobMessage.java

@@ -1,18 +1,17 @@
 package com.kt.event.eventservice.application.dto.kafka;
 
-import com.fasterxml.jackson.annotation.JsonProperty;
 import lombok.AllArgsConstructor;
 import lombok.Builder;
 import lombok.Data;
 import lombok.NoArgsConstructor;
 
 import java.time.LocalDateTime;
-import java.util.List;
 
 /**
  * AI 이벤트 생성 작업 메시지 DTO
  *
  * ai-event-generation-job 토픽에서 구독하는 메시지 형식
+ * JSON 필드명: camelCase (Jackson 기본 설정)
  */
 @Data
 @Builder
@@ -23,73 +22,54 @@ public class AIEventGenerationJobMessage {
     /**
      * 작업 ID
      */
-    @JsonProperty("job_id")
     private String jobId;
 
     /**
      * 사용자 ID (UUID String)
      */
-    @JsonProperty("user_id")
     private String userId;
 
     /**
-     * 작업 상태 (PENDING, PROCESSING, COMPLETED, FAILED)
+     * 이벤트 ID
      */
-    @JsonProperty("status")
+    private String eventId;
-    private String status;
 
     /**
-     * AI 추천 결과 데이터
+     * 이벤트 목적
+     * - "신규 고객 유치"
+     * - "재방문 유도"
+     * - "매출 증대"
+     * - "브랜드 인지도 향상"
      */
-    @JsonProperty("ai_recommendation")
+    private String objective;
-    private AIRecommendationData aiRecommendation;
 
     /**
-     * 에러 메시지 (실패 시)
+     * 업종 (storeCategory와 동일)
      */
-    @JsonProperty("error_message")
+    private String industry;
-    private String errorMessage;
 
     /**
-     * 작업 생성 일시
+     * 지역 (시/구/동)
      */
-    @JsonProperty("created_at")
+    private String region;
-    private LocalDateTime createdAt;
 
     /**
-     * 작업 완료/실패 일시
+     * 매장명
      */
-    @JsonProperty("completed_at")
+    private String storeName;
-    private LocalDateTime completedAt;
 
     /**
-     * AI 추천 데이터 내부 클래스
+     * 목표 고객층 (선택)
      */
-    @Data
+    private String targetAudience;
-    @Builder
-    @NoArgsConstructor
-    @AllArgsConstructor
-    public static class AIRecommendationData {
 
-        @JsonProperty("event_title")
+    /**
-        private String eventTitle;
+     * 예산 (원) (선택)
+     */
+    private Integer budget;
 
-        @JsonProperty("event_description")
+    /**
-        private String eventDescription;
+     * 요청 시각
-
+     */
-        @JsonProperty("event_type")
+    private LocalDateTime requestedAt;
-        private String eventType;
-
-        @JsonProperty("target_keywords")
-        private List<String> targetKeywords;
-
-        @JsonProperty("recommended_benefits")
-        private List<String> recommendedBenefits;
-
-        @JsonProperty("start_date")
-        private String startDate;
-
-        @JsonProperty("end_date")
-        private String endDate;
-    }
 }

event-service/src/main/java/com/kt/event/eventservice/application/dto/kafka/EventCreatedMessage.java

@@ -7,7 +7,6 @@ import lombok.Data;
 import lombok.NoArgsConstructor;
 
 import java.time.LocalDateTime;
-import java.util.UUID;
 
 /**
  * 이벤트 생성 완료 메시지 DTO
@@ -21,16 +20,16 @@ import java.util.UUID;
 public class EventCreatedMessage {
 
     /**
-     * 이벤트 ID (UUID)
+     * 이벤트 ID
      */
     @JsonProperty("event_id")
-    private UUID eventId;
+    private String eventId;
 
     /**
-     * 사용자 ID (UUID)
+     * 사용자 ID
      */
     @JsonProperty("user_id")
-    private UUID userId;
+    private String userId;
 
     /**
      * 이벤트 제목

event-service/src/main/java/com/kt/event/eventservice/application/dto/request/AiRecommendationRequest.java

@@ -8,8 +8,6 @@ import lombok.Builder;
 import lombok.Getter;
 import lombok.NoArgsConstructor;
 
-import java.util.UUID;
-
 /**
  * AI 추천 요청 DTO
  *
@@ -26,11 +24,24 @@ import java.util.UUID;
 @Schema(description = "AI 추천 요청")
 public class AiRecommendationRequest {
 
+    @NotNull(message = "이벤트 목적은 필수입니다.")
+    @Schema(description = "이벤트 목적", required = true, example = "신규 고객 유치")
+    private String objective;
+
     @NotNull(message = "매장 정보는 필수입니다.")
     @Valid
     @Schema(description = "매장 정보", required = true)
     private StoreInfo storeInfo;
 
+    @Schema(description = "지역 정보", example = "서울특별시 강남구")
+    private String region;
+
+    @Schema(description = "타겟 고객층", example = "20-30대 직장인")
+    private String targetAudience;
+
+    @Schema(description = "예산 (원)", example = "500000")
+    private Integer budget;
+
     /**
      * 매장 정보
      */
@@ -42,8 +53,8 @@ public class AiRecommendationRequest {
     public static class StoreInfo {
 
         @NotNull(message = "매장 ID는 필수입니다.")
-        @Schema(description = "매장 ID", required = true, example = "550e8400-e29b-41d4-a716-446655440002")
+        @Schema(description = "매장 ID", required = true, example = "str_20250124_001")
-        private UUID storeId;
+        private String storeId;
 
         @NotNull(message = "매장명은 필수입니다.")
         @Schema(description = "매장명", required = true, example = "우진네 고깃집")

event-service/src/main/java/com/kt/event/eventservice/application/dto/request/SelectImageRequest.java

@@ -6,8 +6,6 @@ import lombok.Builder;
 import lombok.Data;
 import lombok.NoArgsConstructor;
 
-import java.util.UUID;
-
 /**
  * 이미지 선택 요청 DTO
  *
@@ -22,7 +20,7 @@ import java.util.UUID;
 public class SelectImageRequest {
 
     @NotNull(message = "이미지 ID는 필수입니다.")
-    private UUID imageId;
+    private String imageId;
 
     private String imageUrl;
 }

event-service/src/main/java/com/kt/event/eventservice/application/dto/request/SelectObjectiveRequest.java

@@ -19,6 +19,9 @@ import lombok.NoArgsConstructor;
 @Builder
 public class SelectObjectiveRequest {
 
+    @NotBlank(message = "이벤트 ID는 필수입니다.")
+    private String eventId;
+
     @NotBlank(message = "이벤트 목적은 필수입니다.")
     private String objective;
 }

event-service/src/main/java/com/kt/event/eventservice/application/dto/request/SelectRecommendationRequest.java

@@ -9,7 +9,6 @@ import lombok.Getter;
 import lombok.NoArgsConstructor;
 
 import java.time.LocalDate;
-import java.util.UUID;
 
 /**
  * AI 추천 선택 요청 DTO
@@ -28,8 +27,8 @@ import java.util.UUID;
 public class SelectRecommendationRequest {
 
     @NotNull(message = "추천 ID는 필수입니다.")
-    @Schema(description = "선택한 추천 ID", required = true, example = "550e8400-e29b-41d4-a716-446655440007")
+    @Schema(description = "선택한 추천 ID", required = true, example = "rec_20250124_001")
-    private UUID recommendationId;
+    private String recommendationId;
 
     @Valid
     @Schema(description = "커스터마이징 항목")

event-service/src/main/java/com/kt/event/eventservice/application/dto/response/EventCreatedResponse.java

@@ -7,7 +7,6 @@ import lombok.Data;
 import lombok.NoArgsConstructor;
 
 import java.time.LocalDateTime;
-import java.util.UUID;
 
 /**
  * 이벤트 생성 응답 DTO
@@ -22,7 +21,7 @@ import java.util.UUID;
 @Builder
 public class EventCreatedResponse {
 
-    private UUID eventId;
+    private String eventId;
     private EventStatus status;
     private String objective;
     private LocalDateTime createdAt;

event-service/src/main/java/com/kt/event/eventservice/application/dto/response/EventDetailResponse.java

@@ -10,7 +10,6 @@ import java.time.LocalDate;
 import java.time.LocalDateTime;
 import java.util.ArrayList;
 import java.util.List;
-import java.util.UUID;
 
 /**
  * 이벤트 상세 응답 DTO
@@ -25,16 +24,16 @@ import java.util.UUID;
 @Builder
 public class EventDetailResponse {
 
-    private UUID eventId;
+    private String eventId;
-    private UUID userId;
+    private String userId;
-    private UUID storeId;
+    private String storeId;
     private String eventName;
     private String description;
     private String objective;
     private LocalDate startDate;
     private LocalDate endDate;
     private EventStatus status;
-    private UUID selectedImageId;
+    private String selectedImageId;
     private String selectedImageUrl;
     private Integer participants;
     private Integer targetParticipants;
@@ -57,7 +56,7 @@ public class EventDetailResponse {
     @AllArgsConstructor
     @Builder
     public static class GeneratedImageDto {
-        private UUID imageId;
+        private String imageId;
         private String imageUrl;
         private String style;
         private String platform;
@@ -70,7 +69,7 @@ public class EventDetailResponse {
     @AllArgsConstructor
     @Builder
     public static class AiRecommendationDto {
-        private UUID recommendationId;
+        private String recommendationId;
         private String eventName;
         private String description;
         private String promotionType;

event-service/src/main/java/com/kt/event/eventservice/application/dto/response/ImageEditResponse.java

@@ -7,7 +7,6 @@ import lombok.Getter;
 import lombok.NoArgsConstructor;
 
 import java.time.LocalDateTime;
-import java.util.UUID;
 
 /**
  * 이미지 편집 응답 DTO
@@ -25,8 +24,8 @@ import java.util.UUID;
 @Schema(description = "이미지 편집 응답")
 public class ImageEditResponse {
 
-    @Schema(description = "편집된 이미지 ID", example = "550e8400-e29b-41d4-a716-446655440008")
+    @Schema(description = "편집된 이미지 ID", example = "img_20250124_001")
-    private UUID imageId;
+    private String imageId;
 
     @Schema(description = "편집된 이미지 URL", example = "https://cdn.kt-event.com/images/event-img-001-edited.jpg")
     private String imageUrl;

event-service/src/main/java/com/kt/event/eventservice/application/dto/response/ImageGenerationResponse.java

@@ -6,7 +6,6 @@ import lombok.Data;
 import lombok.NoArgsConstructor;
 
 import java.time.LocalDateTime;
-import java.util.UUID;
 
 /**
  * 이미지 생성 응답 DTO
@@ -21,7 +20,7 @@ import java.util.UUID;
 @Builder
 public class ImageGenerationResponse {
 
-    private UUID jobId;
+    private String jobId;
     private String status;
     private String message;
     private LocalDateTime createdAt;

event-service/src/main/java/com/kt/event/eventservice/application/dto/response/JobAcceptedResponse.java

@@ -7,8 +7,6 @@ import lombok.Builder;
 import lombok.Getter;
 import lombok.NoArgsConstructor;
 
-import java.util.UUID;
-
 /**
  * Job 접수 응답 DTO
  *
@@ -25,8 +23,8 @@ import java.util.UUID;
 @Schema(description = "Job 접수 응답")
 public class JobAcceptedResponse {
 
-    @Schema(description = "생성된 Job ID", example = "550e8400-e29b-41d4-a716-446655440005")
+    @Schema(description = "생성된 Job ID", example = "job_20250124_001")
-    private UUID jobId;
+    private String jobId;
 
     @Schema(description = "Job 상태 (초기 상태는 PENDING)", example = "PENDING")
     private JobStatus status;

event-service/src/main/java/com/kt/event/eventservice/application/dto/response/JobStatusResponse.java

@@ -8,7 +8,6 @@ import lombok.Data;
 import lombok.NoArgsConstructor;
 
 import java.time.LocalDateTime;
-import java.util.UUID;
 
 /**
  * Job 상태 응답 DTO
@@ -23,7 +22,7 @@ import java.util.UUID;
 @Builder
 public class JobStatusResponse {
 
-    private UUID jobId;
+    private String jobId;
     private JobType jobType;
     private JobStatus status;
     private int progress;

event-service/src/main/java/com/kt/event/eventservice/application/service/EventIdGenerator.java

@@ -0,0 +1,86 @@
+package com.kt.event.eventservice.application.service;
+
+import org.springframework.stereotype.Component;
+
+import java.time.LocalDateTime;
+import java.time.format.DateTimeFormatter;
+import java.util.UUID;
+
+/**
+ * 이벤트 ID 생성기
+ *
+ * 비즈니스 친화적인 eventId를 생성합니다.
+ * 형식: EVT-{storeId}-{yyyyMMddHHmmss}-{random8}
+ * 예시: EVT-store123-20251029143025-a1b2c3d4
+ *
+ * VARCHAR(50) 길이 제약사항을 고려하여 설계되었습니다.
+ */
+@Component
+public class EventIdGenerator {
+
+    private static final String PREFIX = "EVT";
+    private static final DateTimeFormatter TIMESTAMP_FORMATTER = DateTimeFormatter.ofPattern("yyyyMMddHHmmss");
+    private static final int RANDOM_LENGTH = 8;
+
+    /**
+     * 이벤트 ID 생성 (백엔드용)
+     *
+     * 참고: 현재는 프론트엔드에서 eventId를 생성하므로 이 메서드는 거의 사용되지 않습니다.
+     *
+     * @param storeId 상점 ID
+     * @return 생성된 이벤트 ID
+     */
+    public String generate(String storeId) {
+        // 기본값 처리
+        if (storeId == null || storeId.isBlank()) {
+            storeId = "unknown";
+        }
+
+        String timestamp = LocalDateTime.now().format(TIMESTAMP_FORMATTER);
+        String randomPart = generateRandomPart();
+
+        // 형식: EVT-{storeId}-{timestamp}-{random}
+        String eventId = String.format("%s-%s-%s-%s", PREFIX, storeId, timestamp, randomPart);
+
+        return eventId;
+    }
+
+    /**
+     * UUID 기반 랜덤 문자열 생성
+     *
+     * @return 8자리 랜덤 문자열 (소문자 영숫자)
+     */
+    private String generateRandomPart() {
+        return UUID.randomUUID()
+            .toString()
+            .replace("-", "")
+            .substring(0, RANDOM_LENGTH)
+            .toLowerCase();
+    }
+
+    /**
+     * eventId 기본 검증
+     *
+     * 최소한의 검증만 수행합니다:
+     * - null/empty 체크
+     * - 길이 제한 체크 (VARCHAR(50) 제약)
+     *
+     * 프론트엔드에서 생성한 eventId를 신뢰하며,
+     * DB의 PRIMARY KEY 제약조건으로 중복을 방지합니다.
+     *
+     * @param eventId 검증할 이벤트 ID
+     * @return 유효하면 true, 아니면 false
+     */
+    public boolean isValid(String eventId) {
+        if (eventId == null || eventId.isBlank()) {
+            return false;
+        }
+
+        // 길이 검증 (DB VARCHAR(50) 제약)
+        if (eventId.length() > 50) {
+            return false;
+        }
+
+        return true;
+    }
+}

event-service/src/main/java/com/kt/event/eventservice/application/service/EventService.java

@@ -10,7 +10,9 @@ import com.kt.event.eventservice.domain.entity.*;
 import com.kt.event.eventservice.domain.enums.EventStatus;
 import com.kt.event.eventservice.domain.repository.EventRepository;
 import com.kt.event.eventservice.domain.repository.JobRepository;
+import com.kt.event.eventservice.infrastructure.client.AIServiceClient;
 import com.kt.event.eventservice.infrastructure.client.ContentServiceClient;
+import com.kt.event.eventservice.infrastructure.client.dto.AIRecommendationResponse;
 import com.kt.event.eventservice.infrastructure.client.dto.ContentImageGenerationRequest;
 import com.kt.event.eventservice.infrastructure.client.dto.ContentJobResponse;
 import com.kt.event.eventservice.infrastructure.kafka.AIJobKafkaProducer;
@@ -24,7 +26,6 @@ import org.springframework.data.domain.Pageable;
 import org.springframework.stereotype.Service;
 import org.springframework.transaction.annotation.Transactional;
 
-import java.util.UUID;
 import java.util.stream.Collectors;
 
 /**
@@ -44,26 +45,37 @@ public class EventService {
 
     private final EventRepository eventRepository;
     private final JobRepository jobRepository;
+    private final AIServiceClient aiServiceClient;
     private final ContentServiceClient contentServiceClient;
     private final AIJobKafkaProducer aiJobKafkaProducer;
     private final ImageJobKafkaProducer imageJobKafkaProducer;
     private final EventKafkaProducer eventKafkaProducer;
+    private final EventIdGenerator eventIdGenerator;
+    private final JobIdGenerator jobIdGenerator;
 
     /**
      * 이벤트 생성 (Step 1: 목적 선택)
      *
-     * @param userId 사용자 ID (UUID)
+     * @param userId 사용자 ID
-     * @param storeId 매장 ID (UUID)
+     * @param storeId 매장 ID
-     * @param request 목적 선택 요청
+     * @param request 목적 선택 요청 (eventId 포함)
      * @return 생성된 이벤트 응답
      */
     @Transactional
-    public EventCreatedResponse createEvent(UUID userId, UUID storeId, SelectObjectiveRequest request) {
+    public EventCreatedResponse createEvent(String userId, String storeId, SelectObjectiveRequest request) {
-        log.info("이벤트 생성 시작 - userId: {}, storeId: {}, objective: {}",
+        log.info("이벤트 생성 시작 - userId: {}, storeId: {}, eventId: {}, objective: {}",
-                 userId, storeId, request.getObjective());
+                 userId, storeId, request.getEventId(), request.getObjective());
+
+        String eventId = request.getEventId();
+
+        // 동일한 eventId가 이미 존재하는지 확인
+        if (eventRepository.findByEventId(eventId).isPresent()) {
+            throw new BusinessException(ErrorCode.EVENT_005);
+        }
 
         // 이벤트 엔티티 생성
         Event event = Event.builder()
+            .eventId(eventId)
             .userId(userId)
             .storeId(storeId)
             .objective(request.getObjective())
@@ -87,11 +99,11 @@ public class EventService {
     /**
      * 이벤트 상세 조회
      *
-     * @param userId 사용자 ID (UUID)
+     * @param userId 사용자 ID
      * @param eventId 이벤트 ID
      * @return 이벤트 상세 응답
      */
-    public EventDetailResponse getEvent(UUID userId, UUID eventId) {
+    public EventDetailResponse getEvent(String userId, String eventId) {
         log.info("이벤트 조회 - userId: {}, eventId: {}", userId, eventId);
 
         Event event = eventRepository.findByEventIdAndUserId(eventId, userId)
@@ -108,7 +120,7 @@ public class EventService {
     /**
      * 이벤트 목록 조회 (페이징, 필터링)
      *
-     * @param userId 사용자 ID (UUID)
+     * @param userId 사용자 ID
      * @param status 상태 필터
      * @param search 검색어
      * @param objective 목적 필터
@@ -116,7 +128,7 @@ public class EventService {
      * @return 이벤트 목록
      */
     public Page<EventDetailResponse> getEvents(
-            UUID userId,
+            String userId,
             EventStatus status,
             String search,
             String objective,
@@ -139,11 +151,11 @@ public class EventService {
     /**
      * 이벤트 삭제
      *
-     * @param userId 사용자 ID (UUID)
+     * @param userId 사용자 ID
      * @param eventId 이벤트 ID
      */
     @Transactional
-    public void deleteEvent(UUID userId, UUID eventId) {
+    public void deleteEvent(String userId, String eventId) {
         log.info("이벤트 삭제 - userId: {}, eventId: {}", userId, eventId);
 
         Event event = eventRepository.findByEventIdAndUserId(eventId, userId)
@@ -161,11 +173,11 @@ public class EventService {
     /**
      * 이벤트 배포
      *
-     * @param userId 사용자 ID (UUID)
+     * @param userId 사용자 ID
      * @param eventId 이벤트 ID
      */
     @Transactional
-    public void publishEvent(UUID userId, UUID eventId) {
+    public void publishEvent(String userId, String eventId) {
         log.info("이벤트 배포 - userId: {}, eventId: {}", userId, eventId);
 
         Event event = eventRepository.findByEventIdAndUserId(eventId, userId)
@@ -190,11 +202,11 @@ public class EventService {
     /**
      * 이벤트 종료
      *
-     * @param userId 사용자 ID (UUID)
+     * @param userId 사용자 ID
      * @param eventId 이벤트 ID
      */
     @Transactional
-    public void endEvent(UUID userId, UUID eventId) {
+    public void endEvent(String userId, String eventId) {
         log.info("이벤트 종료 - userId: {}, eventId: {}", userId, eventId);
 
         Event event = eventRepository.findByEventIdAndUserId(eventId, userId)
@@ -210,13 +222,13 @@ public class EventService {
     /**
      * 이미지 생성 요청
      *
-     * @param userId 사용자 ID (UUID)
+     * @param userId 사용자 ID
      * @param eventId 이벤트 ID
      * @param request 이미지 생성 요청
      * @return 이미지 생성 응답 (Job ID 포함)
      */
     @Transactional
-    public ImageGenerationResponse requestImageGeneration(UUID userId, UUID eventId, ImageGenerationRequest request) {
+    public ImageGenerationResponse requestImageGeneration(String userId, String eventId, ImageGenerationRequest request) {
         log.info("이미지 생성 요청 - userId: {}, eventId: {}", userId, eventId);
 
         // 이벤트 조회 및 권한 확인
@@ -236,7 +248,11 @@ public class EventService {
             String.join(", ", request.getPlatforms()));
 
         // Job 엔티티 생성
+        String jobId = jobIdGenerator.generate(JobType.IMAGE_GENERATION);
+        log.info("생성된 jobId: {}", jobId);
+
         Job job = Job.builder()
+            .jobId(jobId)
             .eventId(eventId)
             .jobType(JobType.IMAGE_GENERATION)
             .build();
@@ -245,9 +261,9 @@ public class EventService {
 
         // Kafka 메시지 발행
         imageJobKafkaProducer.publishImageGenerationJob(
-            job.getJobId().toString(),
+            job.getJobId(),
-            userId.toString(),
+            userId,
-            eventId.toString(),
+            eventId,
             prompt
         );
 
@@ -265,13 +281,13 @@ public class EventService {
     /**
      * 이미지 선택
      *
-     * @param userId 사용자 ID (UUID)
+     * @param userId 사용자 ID
      * @param eventId 이벤트 ID
      * @param imageId 이미지 ID
      * @param request 이미지 선택 요청
      */
     @Transactional
-    public void selectImage(UUID userId, UUID eventId, UUID imageId, SelectImageRequest request) {
+    public void selectImage(String userId, String eventId, String imageId, SelectImageRequest request) {
         log.info("이미지 선택 - userId: {}, eventId: {}, imageId: {}", userId, eventId, imageId);
 
         // 이벤트 조회 및 권한 확인
@@ -294,18 +310,36 @@ public class EventService {
     /**
      * AI 추천 요청
      *
-     * @param userId 사용자 ID (UUID)
+     * @param userId 사용자 ID
-     * @param eventId 이벤트 ID
+     * @param eventId 이벤트 ID (프론트엔드에서 생성한 ID)
-     * @param request AI 추천 요청
+     * @param request AI 추천 요청 (objective 포함)
      * @return Job 접수 응답
      */
     @Transactional
-    public JobAcceptedResponse requestAiRecommendations(UUID userId, UUID eventId, AiRecommendationRequest request) {
+    public JobAcceptedResponse requestAiRecommendations(String userId, String eventId, AiRecommendationRequest request) {
-        log.info("AI 추천 요청 - userId: {}, eventId: {}", userId, eventId);
+        log.info("AI 추천 요청 - userId: {}, eventId: {}, objective: {}",
+                 userId, eventId, request.getObjective());
 
-        // 이벤트 조회 및 권한 확인
+        // 이벤트 조회 또는 생성
         Event event = eventRepository.findByEventIdAndUserId(eventId, userId)
-            .orElseThrow(() -> new BusinessException(ErrorCode.EVENT_001));
+            .orElseGet(() -> {
+                log.info("이벤트가 존재하지 않아 새로 생성합니다 - eventId: {}", eventId);
+
+                // storeId 추출 (eventId 형식: EVT-{storeId}-{timestamp}-{random})
+                String storeId = request.getStoreInfo().getStoreId();
+
+                // 새 이벤트 생성
+                Event newEvent = Event.builder()
+                    .eventId(eventId)
+                    .userId(userId)
+                    .storeId(storeId)
+                    .objective(request.getObjective())
+                    .eventName("") // 초기에는 비어있음, AI 추천 후 설정
+                    .status(EventStatus.DRAFT)
+                    .build();
+
+                return eventRepository.save(newEvent);
+            });
 
         // DRAFT 상태 확인
         if (!event.isModifiable()) {
@@ -313,7 +347,11 @@ public class EventService {
         }
 
         // Job 엔티티 생성
+        String jobId = jobIdGenerator.generate(JobType.AI_RECOMMENDATION);
+        log.info("생성된 jobId: {}", jobId);
+
         Job job = Job.builder()
+            .jobId(jobId)
             .eventId(eventId)
             .jobType(JobType.AI_RECOMMENDATION)
             .build();
@@ -322,13 +360,15 @@ public class EventService {
 
         // Kafka 메시지 발행
         aiJobKafkaProducer.publishAIGenerationJob(
-            job.getJobId().toString(),
+            job.getJobId(),
-            userId.toString(),
+            userId,
-            eventId.toString(),
+            eventId,
             request.getStoreInfo().getStoreName(),
-            request.getStoreInfo().getCategory(),
+            request.getStoreInfo().getCategory(),      // industry
-            request.getStoreInfo().getDescription(),
+            request.getRegion(),                        // region
-            event.getObjective()
+            event.getObjective(),                       // objective
+            request.getTargetAudience(),                // targetAudience
+            request.getBudget()                         // budget
         );
 
         log.info("AI 추천 요청 완료 - jobId: {}", job.getJobId());
@@ -343,12 +383,12 @@ public class EventService {
     /**
      * AI 추천 선택
      *
-     * @param userId 사용자 ID (UUID)
+     * @param userId 사용자 ID
      * @param eventId 이벤트 ID
      * @param request AI 추천 선택 요청
      */
     @Transactional
-    public void selectRecommendation(UUID userId, UUID eventId, SelectRecommendationRequest request) {
+    public void selectRecommendation(String userId, String eventId, SelectRecommendationRequest request) {
         log.info("AI 추천 선택 - userId: {}, eventId: {}, recommendationId: {}",
                  userId, eventId, request.getRecommendationId());
 
@@ -409,14 +449,14 @@ public class EventService {
     /**
      * 이미지 편집
      *
-     * @param userId 사용자 ID (UUID)
+     * @param userId 사용자 ID
      * @param eventId 이벤트 ID
      * @param imageId 이미지 ID
      * @param request 이미지 편집 요청
      * @return 이미지 편집 응답
      */
     @Transactional
-    public ImageEditResponse editImage(UUID userId, UUID eventId, UUID imageId, ImageEditRequest request) {
+    public ImageEditResponse editImage(String userId, String eventId, String imageId, ImageEditRequest request) {
         log.info("이미지 편집 - userId: {}, eventId: {}, imageId: {}", userId, eventId, imageId);
 
         // 이벤트 조회 및 권한 확인
@@ -450,12 +490,12 @@ public class EventService {
     /**
      * 배포 채널 선택
      *
-     * @param userId 사용자 ID (UUID)
+     * @param userId 사용자 ID
      * @param eventId 이벤트 ID
      * @param request 배포 채널 선택 요청
      */
     @Transactional
-    public void selectChannels(UUID userId, UUID eventId, SelectChannelsRequest request) {
+    public void selectChannels(String userId, String eventId, SelectChannelsRequest request) {
         log.info("배포 채널 선택 - userId: {}, eventId: {}, channels: {}",
                  userId, eventId, request.getChannels());
 
@@ -479,13 +519,13 @@ public class EventService {
     /**
      * 이벤트 수정
      *
-     * @param userId 사용자 ID (UUID)
+     * @param userId 사용자 ID
      * @param eventId 이벤트 ID
      * @param request 이벤트 수정 요청
      * @return 이벤트 상세 응답
      */
     @Transactional
-    public EventDetailResponse updateEvent(UUID userId, UUID eventId, UpdateEventRequest request) {
+    public EventDetailResponse updateEvent(String userId, String eventId, UpdateEventRequest request) {
         log.info("이벤트 수정 - userId: {}, eventId: {}", userId, eventId);
 
         // 이벤트 조회 및 권한 확인
@@ -574,4 +614,30 @@ public class EventService {
             .updatedAt(event.getUpdatedAt())
             .build();
     }
+
+    /**
+     * AI 추천안 조회 (AI Service에서 직접 조회)
+     *
+     * @param userId 사용자 ID
+     * @param eventId 이벤트 ID
+     * @return AI 추천 결과
+     */
+    public AIRecommendationResponse getAiRecommendations(String userId, String eventId) {
+        log.info("AI 추천안 조회 - userId: {}, eventId: {}", userId, eventId);
+
+        // 이벤트 권한 확인
+        Event event = eventRepository.findByEventIdAndUserId(eventId, userId)
+            .orElseThrow(() -> new BusinessException(ErrorCode.EVENT_001));
+
+        // AI Service에서 추천안 조회
+        try {
+            AIRecommendationResponse response = aiServiceClient.getRecommendation(eventId);
+            log.info("AI 추천안 조회 성공 - eventId: {}, 추천안 수: {}",
+                     eventId, response.getRecommendations() != null ? response.getRecommendations().size() : 0);
+            return response;
+        } catch (Exception e) {
+            log.error("AI 추천안 조회 실패 - eventId: {}", eventId, e);
+            throw new BusinessException(ErrorCode.AI_004);
+        }
+    }
 }

event-service/src/main/java/com/kt/event/eventservice/application/service/JobIdGenerator.java

@@ -0,0 +1,106 @@
+package com.kt.event.eventservice.application.service;
+
+import com.kt.event.eventservice.domain.enums.JobType;
+import org.springframework.stereotype.Component;
+
+import java.util.UUID;
+
+/**
+ * Job ID 생성기
+ *
+ * 비즈니스 친화적인 jobId를 생성합니다.
+ * 형식: JOB-{jobType}-{timestamp}-{random8}
+ * 예시: JOB-AI-20251029143025-a1b2c3d4
+ *
+ * VARCHAR(50) 길이 제약사항을 고려하여 설계되었습니다.
+ */
+@Component
+public class JobIdGenerator {
+
+    private static final String PREFIX = "JOB";
+    private static final int RANDOM_LENGTH = 8;
+
+    /**
+     * Job ID 생성
+     *
+     * @param jobType Job 타입
+     * @return 생성된 Job ID
+     * @throws IllegalArgumentException jobType이 null인 경우
+     */
+    public String generate(JobType jobType) {
+        if (jobType == null) {
+            throw new IllegalArgumentException("jobType은 필수입니다");
+        }
+
+        String typeCode = getTypeCode(jobType);
+        String timestamp = String.valueOf(System.currentTimeMillis());
+        String randomPart = generateRandomPart();
+
+        // 형식: JOB-{type}-{timestamp}-{random}
+        // 예상 길이: 3 + 1 + 5 + 1 + 13 + 1 + 8 = 32자 (최대)
+        String jobId = String.format("%s-%s-%s-%s", PREFIX, typeCode, timestamp, randomPart);
+
+        // 길이 검증
+        if (jobId.length() > 50) {
+            throw new IllegalStateException(
+                String.format("생성된 jobId 길이(%d)가 50자를 초과했습니다: %s",
+                    jobId.length(), jobId)
+            );
+        }
+
+        return jobId;
+    }
+
+    /**
+     * JobType을 짧은 코드로 변환
+     *
+     * @param jobType Job 타입
+     * @return 타입 코드
+     */
+    private String getTypeCode(JobType jobType) {
+        switch (jobType) {
+            case AI_RECOMMENDATION:
+                return "AI";
+            case IMAGE_GENERATION:
+                return "IMG";
+            default:
+                return jobType.name().substring(0, Math.min(5, jobType.name().length()));
+        }
+    }
+
+    /**
+     * UUID 기반 랜덤 문자열 생성
+     *
+     * @return 8자리 랜덤 문자열 (소문자 영숫자)
+     */
+    private String generateRandomPart() {
+        return UUID.randomUUID()
+            .toString()
+            .replace("-", "")
+            .substring(0, RANDOM_LENGTH)
+            .toLowerCase();
+    }
+
+    /**
+     * jobId 기본 검증
+     *
+     * 최소한의 검증만 수행합니다:
+     * - null/empty 체크
+     * - 길이 제한 체크 (VARCHAR(50) 제약)
+     *
+     * @param jobId 검증할 Job ID
+     * @return 유효하면 true, 아니면 false
+     */
+    public boolean isValid(String jobId) {
+        if (jobId == null || jobId.isBlank()) {
+            return false;
+        }
+
+        // 길이 검증 (DB VARCHAR(50) 제약)
+        if (jobId.length() > 50) {
+            return false;
+        }
+
+        return true;
+    }
+}

event-service/src/main/java/com/kt/event/eventservice/application/service/JobService.java

@@ -11,8 +11,6 @@ import lombok.extern.slf4j.Slf4j;
 import org.springframework.stereotype.Service;
 import org.springframework.transaction.annotation.Transactional;
 
-import java.util.UUID;
-
 /**
  * Job 서비스
  *
@@ -29,6 +27,7 @@ import java.util.UUID;
 public class JobService {
 
     private final JobRepository jobRepository;
+    private final JobIdGenerator jobIdGenerator;
 
     /**
      * Job 생성
@@ -38,10 +37,15 @@ public class JobService {
      * @return 생성된 Job
      */
     @Transactional
-    public Job createJob(UUID eventId, JobType jobType) {
+    public Job createJob(String eventId, JobType jobType) {
         log.info("Job 생성 - eventId: {}, jobType: {}", eventId, jobType);
 
+        // jobId 생성
+        String jobId = jobIdGenerator.generate(jobType);
+        log.info("생성된 jobId: {}", jobId);
+
         Job job = Job.builder()
+            .jobId(jobId)
             .eventId(eventId)
             .jobType(jobType)
             .build();
@@ -59,7 +63,7 @@ public class JobService {
      * @param jobId Job ID
      * @return Job 상태 응답
      */
-    public JobStatusResponse getJobStatus(UUID jobId) {
+    public JobStatusResponse getJobStatus(String jobId) {
         log.info("Job 상태 조회 - jobId: {}", jobId);
 
         Job job = jobRepository.findById(jobId)
@@ -75,7 +79,7 @@ public class JobService {
      * @param progress 진행률
      */
     @Transactional
-    public void updateJobProgress(UUID jobId, int progress) {
+    public void updateJobProgress(String jobId, int progress) {
         log.info("Job 진행률 업데이트 - jobId: {}, progress: {}", jobId, progress);
 
         Job job = jobRepository.findById(jobId)
@@ -93,7 +97,7 @@ public class JobService {
      * @param resultKey Redis 결과 키
      */
     @Transactional
-    public void completeJob(UUID jobId, String resultKey) {
+    public void completeJob(String jobId, String resultKey) {
         log.info("Job 완료 - jobId: {}, resultKey: {}", jobId, resultKey);
 
         Job job = jobRepository.findById(jobId)
@@ -113,7 +117,7 @@ public class JobService {
      * @param errorMessage 에러 메시지
      */
     @Transactional
-    public void failJob(UUID jobId, String errorMessage) {
+    public void failJob(String jobId, String errorMessage) {
         log.info("Job 실패 - jobId: {}, errorMessage: {}", jobId, errorMessage);
 
         Job job = jobRepository.findById(jobId)

event-service/src/main/java/com/kt/event/eventservice/application/service/NotificationService.java

@@ -1,7 +1,5 @@
 package com.kt.event.eventservice.application.service;
 
-import java.util.UUID;
-
 /**
  * 알림 서비스 인터페이스
  *
@@ -22,7 +20,7 @@ public interface NotificationService {
      * @param jobType 작업 타입
      * @param message 알림 메시지
      */
-    void notifyJobCompleted(UUID userId, UUID jobId, String jobType, String message);
+    void notifyJobCompleted(String userId, String jobId, String jobType, String message);
 
     /**
      * 작업 실패 알림 전송
@@ -32,7 +30,7 @@ public interface NotificationService {
      * @param jobType 작업 타입
      * @param errorMessage 에러 메시지
      */
-    void notifyJobFailed(UUID userId, UUID jobId, String jobType, String errorMessage);
+    void notifyJobFailed(String userId, String jobId, String jobType, String errorMessage);
 
     /**
      * 작업 진행 상태 알림 전송
@@ -42,5 +40,5 @@ public interface NotificationService {
      * @param jobType 작업 타입
      * @param progress 진행률 (0-100)
      */
-    void notifyJobProgress(UUID userId, UUID jobId, String jobType, int progress);
+    void notifyJobProgress(String userId, String jobId, String jobType, int progress);
 }

event-service/src/main/java/com/kt/event/eventservice/config/DevAuthenticationFilter.java

@@ -11,7 +11,6 @@ import org.springframework.web.filter.OncePerRequestFilter;
 
 import java.io.IOException;
 import java.util.Collections;
-import java.util.UUID;
 
 /**
  * 개발 환경용 인증 필터
@@ -35,11 +34,11 @@ public class DevAuthenticationFilter extends OncePerRequestFilter {
 
         // 개발용 기본 UserPrincipal 생성
         UserPrincipal userPrincipal = new UserPrincipal(
-                UUID.fromString("11111111-1111-1111-1111-111111111111"),  // userId
+                "usr_dev_test_001",  // userId
-                UUID.fromString("22222222-2222-2222-2222-222222222222"),  // storeId
+                "str_dev_test_001",  // storeId
-                "dev@test.com",                                            // email
+                "dev@test.com",      // email
-                "개발테스트사용자",                                           // name
+                "개발테스트사용자",      // name
-                Collections.singletonList("USER")                          // roles
+                Collections.singletonList("USER")  // roles
         );
 
         // Authentication 객체 생성 및 SecurityContext에 설정

event-service/src/main/java/com/kt/event/eventservice/config/KafkaConfig.java

@@ -37,7 +37,7 @@ public class KafkaConfig {
 
     /**
      * Kafka Producer 설정
-     * Producer에서 JSON 문자열을 보내므로 StringSerializer 사용
+     * Producer에서 객체를 직접 보내므로 JsonSerializer 사용
      *
      * @return ProducerFactory 인스턴스
      */
@@ -46,7 +46,10 @@ public class KafkaConfig {
         Map<String, Object> config = new HashMap<>();
         config.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, bootstrapServers);
         config.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG, StringSerializer.class);
-        config.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG, StringSerializer.class);
+        config.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG, JsonSerializer.class);
+
+        // JSON 직렬화 시 타입 정보를 헤더에 추가하지 않음 (마이크로서비스 간 DTO 클래스 불일치 방지)
+        config.put(JsonSerializer.ADD_TYPE_INFO_HEADERS, false);
 
         // Producer 성능 최적화 설정
         config.put(ProducerConfig.ACKS_CONFIG, "all");

event-service/src/main/java/com/kt/event/eventservice/config/SecurityConfig.java

@@ -72,6 +72,7 @@ public class SecurityConfig {
     /**
      * CORS 설정
      * 개발 환경에서 프론트엔드(localhost:3000)의 요청을 허용합니다.
+     * 쿠키 기반 인증을 위한 설정이 포함되어 있습니다.
      *
      * @return CorsConfigurationSource CORS 설정 소스
      */
@@ -82,7 +83,10 @@ public class SecurityConfig {
         // 허용할 Origin (개발 환경)
         configuration.setAllowedOrigins(Arrays.asList(
             "http://localhost:3000",
-            "http://127.0.0.1:3000"
+            "http://127.0.0.1:3000",
+            "http://localhost:8081",
+            "http://localhost:8082",
+            "http://localhost:8083"
         ));
 
         // 허용할 HTTP 메서드
@@ -90,7 +94,7 @@ public class SecurityConfig {
             "GET", "POST", "PUT", "PATCH", "DELETE", "OPTIONS"
         ));
 
-        // 허용할 헤더
+        // 허용할 헤더 (쿠키 포함)
         configuration.setAllowedHeaders(Arrays.asList(
             "Authorization",
             "Content-Type",
@@ -98,19 +102,21 @@ public class SecurityConfig {
             "Accept",
             "Origin",
             "Access-Control-Request-Method",
-            "Access-Control-Request-Headers"
+            "Access-Control-Request-Headers",
+            "Cookie"
         ));
 
-        // 인증 정보 포함 허용
+        // 인증 정보 포함 허용 (쿠키 전송을 위해 필수)
         configuration.setAllowCredentials(true);
 
         // Preflight 요청 캐시 시간 (초)
         configuration.setMaxAge(3600L);
 
-        // 노출할 응답 헤더
+        // 노출할 응답 헤더 (쿠키 포함)
         configuration.setExposedHeaders(Arrays.asList(
             "Authorization",
-            "Content-Type"
+            "Content-Type",
+            "Set-Cookie"
         ));
 
         UrlBasedCorsConfigurationSource source = new UrlBasedCorsConfigurationSource();

event-service/src/main/java/com/kt/event/eventservice/domain/entity/AiRecommendation.java

@@ -3,9 +3,6 @@ package com.kt.event.eventservice.domain.entity;
 import com.kt.event.common.entity.BaseTimeEntity;
 import jakarta.persistence.*;
 import lombok.*;
-import org.hibernate.annotations.GenericGenerator;
-
-import java.util.UUID;
 
 /**
  * AI 추천 엔티티
@@ -26,10 +23,8 @@ import java.util.UUID;
 public class AiRecommendation extends BaseTimeEntity {
 
     @Id
-    @GeneratedValue(generator = "uuid2")
+    @Column(name = "recommendation_id", length = 50)
-    @GenericGenerator(name = "uuid2", strategy = "uuid2")
+    private String recommendationId;
-    @Column(name = "recommendation_id", columnDefinition = "uuid")
-    private UUID recommendationId;
 
     @ManyToOne(fetch = FetchType.LAZY)
     @JoinColumn(name = "event_id", nullable = false)

event-service/src/main/java/com/kt/event/eventservice/domain/entity/Event.java

@@ -6,7 +6,6 @@ import jakarta.persistence.*;
 import lombok.*;
 import org.hibernate.annotations.Fetch;
 import org.hibernate.annotations.FetchMode;
-import org.hibernate.annotations.GenericGenerator;
 
 import java.time.LocalDate;
 import java.util.*;
@@ -32,16 +31,14 @@ import java.util.*;
 public class Event extends BaseTimeEntity {
 
     @Id
-    @GeneratedValue(generator = "uuid2")
+    @Column(name = "event_id", length = 50)
-    @GenericGenerator(name = "uuid2", strategy = "uuid2")
+    private String eventId;
-    @Column(name = "event_id", columnDefinition = "uuid")
-    private UUID eventId;
 
-    @Column(name = "user_id", nullable = false, columnDefinition = "uuid")
+    @Column(name = "user_id", nullable = false, length = 50)
-    private UUID userId;
+    private String userId;
 
-    @Column(name = "store_id", nullable = false, columnDefinition = "uuid")
+    @Column(name = "store_id", nullable = false, length = 50)
-    private UUID storeId;
+    private String storeId;
 
     @Column(name = "event_name", length = 200)
     private String eventName;
@@ -63,8 +60,8 @@ public class Event extends BaseTimeEntity {
     @Builder.Default
     private EventStatus status = EventStatus.DRAFT;
 
-    @Column(name = "selected_image_id", columnDefinition = "uuid")
+    @Column(name = "selected_image_id", length = 50)
-    private UUID selectedImageId;
+    private String selectedImageId;
 
     @Column(name = "selected_image_url", length = 500)
     private String selectedImageUrl;
@@ -128,7 +125,7 @@ public class Event extends BaseTimeEntity {
     /**
      * 이미지 선택
      */
-    public void selectImage(UUID imageId, String imageUrl) {
+    public void selectImage(String imageId, String imageUrl) {
         this.selectedImageId = imageId;
         this.selectedImageUrl = imageUrl;
 

event-service/src/main/java/com/kt/event/eventservice/domain/entity/GeneratedImage.java

@@ -3,9 +3,6 @@ package com.kt.event.eventservice.domain.entity;
 import com.kt.event.common.entity.BaseTimeEntity;
 import jakarta.persistence.*;
 import lombok.*;
-import org.hibernate.annotations.GenericGenerator;
-
-import java.util.UUID;
 
 /**
  * 생성된 이미지 엔티티
@@ -26,10 +23,8 @@ import java.util.UUID;
 public class GeneratedImage extends BaseTimeEntity {
 
     @Id
-    @GeneratedValue(generator = "uuid2")
+    @Column(name = "image_id", length = 50)
-    @GenericGenerator(name = "uuid2", strategy = "uuid2")
+    private String imageId;
-    @Column(name = "image_id", columnDefinition = "uuid")
-    private UUID imageId;
 
     @ManyToOne(fetch = FetchType.LAZY)
     @JoinColumn(name = "event_id", nullable = false)

event-service/src/main/java/com/kt/event/eventservice/domain/entity/Job.java

@@ -5,10 +5,8 @@ import com.kt.event.eventservice.domain.enums.JobStatus;
 import com.kt.event.eventservice.domain.enums.JobType;
 import jakarta.persistence.*;
 import lombok.*;
-import org.hibernate.annotations.GenericGenerator;
 
 import java.time.LocalDateTime;
-import java.util.UUID;
 
 /**
  * 비동기 작업 엔티티
@@ -29,13 +27,11 @@ import java.util.UUID;
 public class Job extends BaseTimeEntity {
 
     @Id
-    @GeneratedValue(generator = "uuid2")
+    @Column(name = "job_id", length = 50)
-    @GenericGenerator(name = "uuid2", strategy = "uuid2")
+    private String jobId;
-    @Column(name = "job_id", columnDefinition = "uuid")
-    private UUID jobId;
 
-    @Column(name = "event_id", nullable = false, columnDefinition = "uuid")
+    @Column(name = "event_id", nullable = false, length = 50)
-    private UUID eventId;
+    private String eventId;
 
     @Enumerated(EnumType.STRING)
     @Column(name = "job_type", nullable = false, length = 30)

event-service/src/main/java/com/kt/event/eventservice/domain/repository/AiRecommendationRepository.java

@@ -5,7 +5,6 @@ import org.springframework.data.jpa.repository.JpaRepository;
 import org.springframework.stereotype.Repository;
 
 import java.util.List;
-import java.util.UUID;
 
 /**
  * AI 추천 Repository
@@ -15,15 +14,15 @@ import java.util.UUID;
  * @since 2025-10-23
  */
 @Repository
-public interface AiRecommendationRepository extends JpaRepository<AiRecommendation, UUID> {
+public interface AiRecommendationRepository extends JpaRepository<AiRecommendation, String> {
 
     /**
      * 이벤트별 AI 추천 목록 조회
      */
-    List<AiRecommendation> findByEventEventId(UUID eventId);
+    List<AiRecommendation> findByEventEventId(String eventId);
 
     /**
      * 이벤트별 선택된 AI 추천 조회
      */
-    AiRecommendation findByEventEventIdAndIsSelectedTrue(UUID eventId);
+    AiRecommendation findByEventEventIdAndIsSelectedTrue(String eventId);
 }

event-service/src/main/java/com/kt/event/eventservice/domain/repository/EventRepository.java

@@ -10,7 +10,6 @@ import org.springframework.data.repository.query.Param;
 import org.springframework.stereotype.Repository;
 
 import java.util.Optional;
-import java.util.UUID;
 
 /**
  * 이벤트 Repository
@@ -20,7 +19,12 @@ import java.util.UUID;
  * @since 2025-10-23
  */
 @Repository
-public interface EventRepository extends JpaRepository<Event, UUID> {
+public interface EventRepository extends JpaRepository<Event, String> {
+
+    /**
+     * 이벤트 ID로 조회
+     */
+    Optional<Event> findByEventId(String eventId);
 
     /**
      * 사용자 ID와 이벤트 ID로 조회
@@ -29,8 +33,8 @@ public interface EventRepository extends JpaRepository<Event, UUID> {
            "LEFT JOIN FETCH e.channels " +
            "WHERE e.eventId = :eventId AND e.userId = :userId")
     Optional<Event> findByEventIdAndUserId(
-        @Param("eventId") UUID eventId,
+        @Param("eventId") String eventId,
-        @Param("userId") UUID userId
+        @Param("userId") String userId
     );
 
     /**
@@ -42,7 +46,7 @@ public interface EventRepository extends JpaRepository<Event, UUID> {
            "AND (:search IS NULL OR e.eventName LIKE %:search%) " +
            "AND (:objective IS NULL OR e.objective = :objective)")
     Page<Event> findEventsByUser(
-        @Param("userId") UUID userId,
+        @Param("userId") String userId,
         @Param("status") EventStatus status,
         @Param("search") String search,
         @Param("objective") String objective,
@@ -52,5 +56,5 @@ public interface EventRepository extends JpaRepository<Event, UUID> {
     /**
      * 사용자별 이벤트 개수 조회 (상태별)
      */
-    long countByUserIdAndStatus(UUID userId, EventStatus status);
+    long countByUserIdAndStatus(String userId, EventStatus status);
 }

event-service/src/main/java/com/kt/event/eventservice/domain/repository/GeneratedImageRepository.java

@@ -5,7 +5,6 @@ import org.springframework.data.jpa.repository.JpaRepository;
 import org.springframework.stereotype.Repository;
 
 import java.util.List;
-import java.util.UUID;
 
 /**
  * 생성된 이미지 Repository
@@ -15,15 +14,15 @@ import java.util.UUID;
  * @since 2025-10-23
  */
 @Repository
-public interface GeneratedImageRepository extends JpaRepository<GeneratedImage, UUID> {
+public interface GeneratedImageRepository extends JpaRepository<GeneratedImage, String> {
 
     /**
      * 이벤트별 생성된 이미지 목록 조회
      */
-    List<GeneratedImage> findByEventEventId(UUID eventId);
+    List<GeneratedImage> findByEventEventId(String eventId);
 
     /**
      * 이벤트별 선택된 이미지 조회
      */
-    GeneratedImage findByEventEventIdAndIsSelectedTrue(UUID eventId);
+    GeneratedImage findByEventEventIdAndIsSelectedTrue(String eventId);
 }

event-service/src/main/java/com/kt/event/eventservice/domain/repository/JobRepository.java

@@ -8,7 +8,6 @@ import org.springframework.stereotype.Repository;
 
 import java.util.List;
 import java.util.Optional;
-import java.util.UUID;
 
 /**
  * 비동기 작업 Repository
@@ -18,22 +17,22 @@ import java.util.UUID;
  * @since 2025-10-23
  */
 @Repository
-public interface JobRepository extends JpaRepository<Job, UUID> {
+public interface JobRepository extends JpaRepository<Job, String> {
 
     /**
      * 이벤트별 작업 목록 조회
      */
-    List<Job> findByEventId(UUID eventId);
+    List<Job> findByEventId(String eventId);
 
     /**
      * 이벤트 및 작업 유형별 조회
      */
-    Optional<Job> findByEventIdAndJobType(UUID eventId, JobType jobType);
+    Optional<Job> findByEventIdAndJobType(String eventId, JobType jobType);
 
     /**
      * 이벤트 및 작업 유형별 최신 작업 조회
      */
-    Optional<Job> findFirstByEventIdAndJobTypeOrderByCreatedAtDesc(UUID eventId, JobType jobType);
+    Optional<Job> findFirstByEventIdAndJobTypeOrderByCreatedAtDesc(String eventId, JobType jobType);
 
     /**
      * 상태별 작업 목록 조회

event-service/src/main/java/com/kt/event/eventservice/infrastructure/client/AIServiceClient.java

@@ -0,0 +1,31 @@
+package com.kt.event.eventservice.infrastructure.client;
+
+import com.kt.event.eventservice.infrastructure.client.dto.AIRecommendationResponse;
+import org.springframework.cloud.openfeign.FeignClient;
+import org.springframework.web.bind.annotation.GetMapping;
+import org.springframework.web.bind.annotation.PathVariable;
+
+/**
+ * AI Service Feign Client
+ *
+ * AI Service의 추천안 조회 API를 호출합니다.
+ *
+ * @author Event Service Team
+ * @version 1.0.0
+ * @since 2025-10-30
+ */
+@FeignClient(
+    name = "ai-service",
+    url = "${feign.ai-service.url:http://localhost:8083}"
+)
+public interface AIServiceClient {
+
+    /**
+     * AI 추천 결과 조회
+     *
+     * @param eventId 이벤트 ID
+     * @return AI 추천 결과
+     */
+    @GetMapping("/recommendations/{eventId}")
+    AIRecommendationResponse getRecommendation(@PathVariable("eventId") String eventId);
+}

event-service/src/main/java/com/kt/event/eventservice/infrastructure/client/dto/AIRecommendationResponse.java

@@ -0,0 +1,123 @@
+package com.kt.event.eventservice.infrastructure.client.dto;
+
+import com.fasterxml.jackson.annotation.JsonProperty;
+import lombok.AllArgsConstructor;
+import lombok.Builder;
+import lombok.Data;
+import lombok.NoArgsConstructor;
+
+import java.time.LocalDateTime;
+import java.util.List;
+import java.util.Map;
+
+/**
+ * AI Service 추천안 응답 DTO
+ *
+ * @author Event Service Team
+ * @version 1.0.0
+ * @since 2025-10-30
+ */
+@Data
+@Builder
+@NoArgsConstructor
+@AllArgsConstructor
+public class AIRecommendationResponse {
+
+    private String eventId;
+    private TrendAnalysis trendAnalysis;
+    private List<EventRecommendation> recommendations;
+    private LocalDateTime generatedAt;
+    private LocalDateTime expiresAt;
+    private String aiProvider;
+
+    /**
+     * 트렌드 분석
+     */
+    @Data
+    @Builder
+    @NoArgsConstructor
+    @AllArgsConstructor
+    public static class TrendAnalysis {
+        private List<TrendKeyword> industryTrends;
+        private List<TrendKeyword> regionalTrends;
+        private List<TrendKeyword> seasonalTrends;
+
+        @Data
+        @Builder
+        @NoArgsConstructor
+        @AllArgsConstructor
+        public static class TrendKeyword {
+            private String keyword;
+            private Double relevance;
+            private String description;
+        }
+    }
+
+    /**
+     * 이벤트 추천안
+     */
+    @Data
+    @Builder
+    @NoArgsConstructor
+    @AllArgsConstructor
+    public static class EventRecommendation {
+        private Integer optionNumber;
+        private String concept;
+        private String title;
+        private String description;
+        private String targetAudience;
+        private Duration duration;
+        private Mechanics mechanics;
+        private List<String> promotionChannels;
+        private EstimatedCost estimatedCost;
+        private ExpectedMetrics expectedMetrics;
+        private String differentiator;
+
+        @Data
+        @Builder
+        @NoArgsConstructor
+        @AllArgsConstructor
+        public static class Duration {
+            private Integer recommendedDays;
+            private String recommendedPeriod;
+        }
+
+        @Data
+        @Builder
+        @NoArgsConstructor
+        @AllArgsConstructor
+        public static class Mechanics {
+            private String type;
+            private String details;
+        }
+
+        @Data
+        @Builder
+        @NoArgsConstructor
+        @AllArgsConstructor
+        public static class EstimatedCost {
+            private Integer min;
+            private Integer max;
+            private Map<String, Integer> breakdown;
+        }
+
+        @Data
+        @Builder
+        @NoArgsConstructor
+        @AllArgsConstructor
+        public static class ExpectedMetrics {
+            private Range newCustomers;
+            private Range revenueIncrease;
+            private Range roi;
+
+            @Data
+            @Builder
+            @NoArgsConstructor
+            @AllArgsConstructor
+            public static class Range {
+                private Double min;
+                private Double max;
+            }
+        }
+    }
+}

event-service/src/main/java/com/kt/event/eventservice/infrastructure/kafka/AIJobKafkaConsumer.java.bak

@@ -18,8 +18,6 @@ import org.springframework.messaging.handler.annotation.Payload;
 import org.springframework.stereotype.Component;
 import org.springframework.transaction.annotation.Transactional;
 
-import java.util.UUID;
-
 /**
  * AI 이벤트 생성 작업 메시지 구독 Consumer
  *
@@ -30,7 +28,8 @@ import java.util.UUID;
  * @since 2025-10-29
  */
 @Slf4j
-@Component
+// TODO: 별도 response 토픽 사용 시 활성화
+// @Component
 @RequiredArgsConstructor
 public class AIJobKafkaConsumer {
 
@@ -93,7 +92,7 @@ public class AIJobKafkaConsumer {
     @Transactional
     protected void processAIEventGenerationJob(AIEventGenerationJobMessage message) {
         try {
-            UUID jobId = UUID.fromString(message.getJobId());
+            String jobId = message.getJobId();
 
             // Job 조회
             Job job = jobRepository.findById(jobId).orElse(null);
@@ -102,7 +101,7 @@ public class AIJobKafkaConsumer {
                 return;
             }
 
-            UUID eventId = job.getEventId();
+            String eventId = job.getEventId();
 
             // Event 조회 (모든 케이스에서 사용)
             Event event = eventRepository.findById(eventId).orElse(null);
@@ -142,7 +141,7 @@ public class AIJobKafkaConsumer {
                             eventId, aiData.getEventTitle());
 
                         // 사용자에게 알림 전송
-                        UUID userId = event.getUserId();
+                        String userId = event.getUserId();
                         notificationService.notifyJobCompleted(
                             userId,
                             jobId,
@@ -166,7 +165,7 @@ public class AIJobKafkaConsumer {
 
                     // 사용자에게 실패 알림 전송
                     if (event != null) {
-                        UUID userId = event.getUserId();
+                        String userId = event.getUserId();
                         notificationService.notifyJobFailed(
                             userId,
                             jobId,
@@ -185,7 +184,7 @@ public class AIJobKafkaConsumer {
 
                     // 사용자에게 진행 상태 알림 전송
                     if (event != null) {
-                        UUID userId = event.getUserId();
+                        String userId = event.getUserId();
                         notificationService.notifyJobProgress(
                             userId,
                             jobId,

event-service/src/main/java/com/kt/event/eventservice/infrastructure/kafka/AIJobKafkaProducer.java

@@ -1,6 +1,5 @@
 package com.kt.event.eventservice.infrastructure.kafka;
 
-import com.fasterxml.jackson.databind.ObjectMapper;
 import com.kt.event.eventservice.application.dto.kafka.AIEventGenerationJobMessage;
 import lombok.RequiredArgsConstructor;
 import lombok.extern.slf4j.Slf4j;
@@ -27,7 +26,6 @@ import java.util.concurrent.CompletableFuture;
 public class AIJobKafkaProducer {
 
     private final KafkaTemplate<String, Object> kafkaTemplate;
-    private final ObjectMapper objectMapper;
 
     @Value("${app.kafka.topics.ai-event-generation-job:ai-event-generation-job}")
     private String aiEventGenerationJobTopic;
@@ -35,28 +33,38 @@ public class AIJobKafkaProducer {
     /**
      * AI 이벤트 생성 작업 메시지 발행
      *
-     * @param jobId 작업 ID (UUID String)
+     * @param jobId 작업 ID (JOB-{type}-{timestamp}-{random8})
-     * @param userId 사용자 ID (UUID String)
+     * @param userId 사용자 ID
-     * @param eventId 이벤트 ID (UUID String)
+     * @param eventId 이벤트 ID (EVT-{storeId}-{yyyyMMddHHmmss}-{random8})
      * @param storeName 매장명
-     * @param storeCategory 매장 업종
+     * @param industry 업종 (매장 카테고리)
-     * @param storeDescription 매장 설명
+     * @param region 지역
      * @param objective 이벤트 목적
+     * @param targetAudience 목표 고객층 (선택)
+     * @param budget 예산 (선택)
      */
     public void publishAIGenerationJob(
             String jobId,
             String userId,
             String eventId,
             String storeName,
-            String storeCategory,
+            String industry,
-            String storeDescription,
+            String region,
-            String objective) {
+            String objective,
+            String targetAudience,
+            Integer budget) {
 
         AIEventGenerationJobMessage message = AIEventGenerationJobMessage.builder()
             .jobId(jobId)
             .userId(userId)
-            .status("PENDING")
+            .eventId(eventId)
-            .createdAt(LocalDateTime.now())
+            .storeName(storeName)
+            .industry(industry)
+            .region(region)
+            .objective(objective)
+            .targetAudience(targetAudience)
+            .budget(budget)
+            .requestedAt(LocalDateTime.now())
             .build();
 
         publishMessage(message);
@@ -69,11 +77,9 @@ public class AIJobKafkaProducer {
      */
     public void publishMessage(AIEventGenerationJobMessage message) {
         try {
-            // JSON 문자열로 변환
+            // 객체를 직접 전송 (JsonSerializer가 자동으로 직렬화)
-            String jsonMessage = objectMapper.writeValueAsString(message);
-
             CompletableFuture<SendResult<String, Object>> future =
-                kafkaTemplate.send(aiEventGenerationJobTopic, message.getJobId(), jsonMessage);
+                kafkaTemplate.send(aiEventGenerationJobTopic, message.getJobId(), message);
 
             future.whenComplete((result, ex) -> {
                 if (ex == null) {

event-service/src/main/java/com/kt/event/eventservice/infrastructure/kafka/EventKafkaProducer.java

@@ -29,12 +29,12 @@ public class EventKafkaProducer {
     /**
      * 이벤트 생성 완료 메시지 발행
      *
-     * @param eventId 이벤트 ID (UUID)
+     * @param eventId 이벤트 ID
-     * @param userId 사용자 ID (UUID)
+     * @param userId 사용자 ID
      * @param title 이벤트 제목
      * @param eventType 이벤트 타입
      */
-    public void publishEventCreated(java.util.UUID eventId, java.util.UUID userId, String title, String eventType) {
+    public void publishEventCreated(String eventId, String userId, String title, String eventType) {
         EventCreatedMessage message = EventCreatedMessage.builder()
             .eventId(eventId)
             .userId(userId)

event-service/src/main/java/com/kt/event/eventservice/infrastructure/kafka/ImageJobKafkaConsumer.java

@@ -18,8 +18,6 @@ import org.springframework.messaging.handler.annotation.Payload;
 import org.springframework.stereotype.Component;
 import org.springframework.transaction.annotation.Transactional;
 
-import java.util.UUID;
-
 /**
  * 이미지 생성 작업 메시지 구독 Consumer
  *
@@ -94,8 +92,8 @@ public class ImageJobKafkaConsumer {
     @Transactional
     protected void processImageGenerationJob(ImageGenerationJobMessage message) {
         try {
-            UUID jobId = UUID.fromString(message.getJobId());
+            String jobId = message.getJobId();
-            UUID eventId = UUID.fromString(message.getEventId());
+            String eventId = message.getEventId();
 
             // Job 조회
             Job job = jobRepository.findById(jobId).orElse(null);
@@ -130,7 +128,7 @@ public class ImageJobKafkaConsumer {
                             eventId, message.getImageUrl());
 
                         // 사용자에게 알림 전송
-                        UUID userId = event.getUserId();
+                        String userId = event.getUserId();
                         notificationService.notifyJobCompleted(
                             userId,
                             jobId,
@@ -181,7 +179,7 @@ public class ImageJobKafkaConsumer {
 
                         // 사용자에게 실패 알림 전송
                         if (event != null) {
-                            UUID userId = event.getUserId();
+                            String userId = event.getUserId();
                             notificationService.notifyJobFailed(
                                 userId,
                                 jobId,
@@ -202,7 +200,7 @@ public class ImageJobKafkaConsumer {
 
                     // 사용자에게 진행 상태 알림 전송
                     if (event != null) {
-                        UUID userId = event.getUserId();
+                        String userId = event.getUserId();
                         notificationService.notifyJobProgress(
                             userId,
                             jobId,

event-service/src/main/java/com/kt/event/eventservice/infrastructure/kafka/ImageJobKafkaProducer.java

@@ -35,9 +35,9 @@ public class ImageJobKafkaProducer {
     /**
      * 이미지 생성 작업 메시지 발행
      *
-     * @param jobId 작업 ID (UUID)
+     * @param jobId 작업 ID (JOB-{type}-{timestamp}-{random8})
-     * @param userId 사용자 ID (UUID)
+     * @param userId 사용자 ID
-     * @param eventId 이벤트 ID (UUID)
+     * @param eventId 이벤트 ID (EVT-{storeId}-{yyyyMMddHHmmss}-{random8})
      * @param prompt 이미지 생성 프롬프트
      */
     public void publishImageGenerationJob(

event-service/src/main/java/com/kt/event/eventservice/infrastructure/notification/LoggingNotificationService.java

@@ -4,8 +4,6 @@ import com.kt.event.eventservice.application.service.NotificationService;
 import lombok.extern.slf4j.Slf4j;
 import org.springframework.stereotype.Service;
 
-import java.util.UUID;
-
 /**
  * 로깅 기반 알림 서비스 구현
  *
@@ -20,16 +18,16 @@ import java.util.UUID;
 public class LoggingNotificationService implements NotificationService {
 
     @Override
-    public void notifyJobCompleted(UUID userId, UUID jobId, String jobType, String message) {
+    public void notifyJobCompleted(String userId, String jobId, String jobType, String message) {
         log.info("📢 [작업 완료 알림] UserId: {}, JobId: {}, JobType: {}, Message: {}",
             userId, jobId, jobType, message);
 
         // TODO: WebSocket, SSE, 또는 Push Notification으로 실시간 알림 전송
-        // 예: webSocketTemplate.convertAndSendToUser(userId.toString(), "/queue/notifications", notification);
+        // 예: webSocketTemplate.convertAndSendToUser(userId, "/queue/notifications", notification);
     }
 
     @Override
-    public void notifyJobFailed(UUID userId, UUID jobId, String jobType, String errorMessage) {
+    public void notifyJobFailed(String userId, String jobId, String jobType, String errorMessage) {
         log.error("📢 [작업 실패 알림] UserId: {}, JobId: {}, JobType: {}, Error: {}",
             userId, jobId, jobType, errorMessage);
 
@@ -37,7 +35,7 @@ public class LoggingNotificationService implements NotificationService {
     }
 
     @Override
-    public void notifyJobProgress(UUID userId, UUID jobId, String jobType, int progress) {
+    public void notifyJobProgress(String userId, String jobId, String jobType, int progress) {
         log.info("📢 [작업 진행 알림] UserId: {}, JobId: {}, JobType: {}, Progress: {}%",
             userId, jobId, jobType, progress);
 

event-service/src/main/java/com/kt/event/eventservice/presentation/controller/EventController.java

@@ -6,6 +6,7 @@ import com.kt.event.common.security.UserPrincipal;
 import com.kt.event.eventservice.application.dto.request.*;
 import com.kt.event.eventservice.application.dto.response.*;
 import com.kt.event.eventservice.application.service.EventService;
+import com.kt.event.eventservice.infrastructure.client.dto.AIRecommendationResponse;
 import com.kt.event.eventservice.domain.enums.EventStatus;
 import io.swagger.v3.oas.annotations.Operation;
 import io.swagger.v3.oas.annotations.tags.Tag;
@@ -21,8 +22,6 @@ import org.springframework.http.ResponseEntity;
 import org.springframework.security.core.annotation.AuthenticationPrincipal;
 import org.springframework.web.bind.annotation.*;
 
-import java.util.UUID;
-
 /**
  * 이벤트 컨트롤러
  *
@@ -34,7 +33,7 @@ import java.util.UUID;
  */
 @Slf4j
 @RestController
-@RequestMapping("/api/v1/events")
+@RequestMapping("/events")
 @RequiredArgsConstructor
 @Tag(name = "Event", description = "이벤트 관리 API")
 public class EventController {
@@ -129,7 +128,7 @@ public class EventController {
     @GetMapping("/{eventId}")
     @Operation(summary = "이벤트 상세 조회", description = "특정 이벤트의 상세 정보를 조회합니다.")
     public ResponseEntity<ApiResponse<EventDetailResponse>> getEvent(
-            @PathVariable UUID eventId,
+            @PathVariable String eventId,
             @AuthenticationPrincipal UserPrincipal userPrincipal) {
 
         log.info("이벤트 상세 조회 API 호출 - userId: {}, eventId: {}",
@@ -150,7 +149,7 @@ public class EventController {
     @DeleteMapping("/{eventId}")
     @Operation(summary = "이벤트 삭제", description = "이벤트를 삭제합니다. DRAFT 상태만 삭제 가능합니다.")
     public ResponseEntity<ApiResponse<Void>> deleteEvent(
-            @PathVariable UUID eventId,
+            @PathVariable String eventId,
             @AuthenticationPrincipal UserPrincipal userPrincipal) {
 
         log.info("이벤트 삭제 API 호출 - userId: {}, eventId: {}",
@@ -171,7 +170,7 @@ public class EventController {
     @PostMapping("/{eventId}/publish")
     @Operation(summary = "이벤트 배포", description = "이벤트를 배포합니다. DRAFT → PUBLISHED 상태 변경.")
     public ResponseEntity<ApiResponse<Void>> publishEvent(
-            @PathVariable UUID eventId,
+            @PathVariable String eventId,
             @AuthenticationPrincipal UserPrincipal userPrincipal) {
 
         log.info("이벤트 배포 API 호출 - userId: {}, eventId: {}",
@@ -192,7 +191,7 @@ public class EventController {
     @PostMapping("/{eventId}/end")
     @Operation(summary = "이벤트 종료", description = "이벤트를 종료합니다. PUBLISHED → ENDED 상태 변경.")
     public ResponseEntity<ApiResponse<Void>> endEvent(
-            @PathVariable UUID eventId,
+            @PathVariable String eventId,
             @AuthenticationPrincipal UserPrincipal userPrincipal) {
 
         log.info("이벤트 종료 API 호출 - userId: {}, eventId: {}",
@@ -214,7 +213,7 @@ public class EventController {
     @PostMapping("/{eventId}/images")
     @Operation(summary = "이미지 생성 요청", description = "AI를 통해 이벤트 이미지를 생성합니다.")
     public ResponseEntity<ApiResponse<ImageGenerationResponse>> requestImageGeneration(
-            @PathVariable UUID eventId,
+            @PathVariable String eventId,
             @Valid @RequestBody ImageGenerationRequest request,
             @AuthenticationPrincipal UserPrincipal userPrincipal) {
 
@@ -243,8 +242,8 @@ public class EventController {
     @PutMapping("/{eventId}/images/{imageId}/select")
     @Operation(summary = "이미지 선택", description = "생성된 이미지 중 하나를 선택합니다.")
     public ResponseEntity<ApiResponse<Void>> selectImage(
-            @PathVariable UUID eventId,
+            @PathVariable String eventId,
-            @PathVariable UUID imageId,
+            @PathVariable String imageId,
             @Valid @RequestBody SelectImageRequest request,
             @AuthenticationPrincipal UserPrincipal userPrincipal) {
 
@@ -272,7 +271,7 @@ public class EventController {
     @PostMapping("/{eventId}/ai-recommendations")
     @Operation(summary = "AI 추천 요청", description = "AI 서비스에 이벤트 추천 생성을 요청합니다.")
     public ResponseEntity<ApiResponse<JobAcceptedResponse>> requestAiRecommendations(
-            @PathVariable UUID eventId,
+            @PathVariable String eventId,
             @Valid @RequestBody AiRecommendationRequest request,
             @AuthenticationPrincipal UserPrincipal userPrincipal) {
 
@@ -289,6 +288,30 @@ public class EventController {
             .body(ApiResponse.success(response));
     }
 
+    /**
+     * AI 추천안 조회 (Step 2-1)
+     *
+     * @param eventId 이벤트 ID
+     * @param userPrincipal 인증된 사용자 정보
+     * @return AI 추천 결과
+     */
+    @GetMapping("/{eventId}/ai-recommendations")
+    @Operation(summary = "AI 추천안 조회", description = "AI Service에서 생성된 추천안을 조회합니다.")
+    public ResponseEntity<ApiResponse<AIRecommendationResponse>> getAiRecommendations(
+            @PathVariable String eventId,
+            @AuthenticationPrincipal UserPrincipal userPrincipal) {
+
+        log.info("AI 추천안 조회 API 호출 - userId: {}, eventId: {}",
+                 userPrincipal.getUserId(), eventId);
+
+        AIRecommendationResponse response = eventService.getAiRecommendations(
+            userPrincipal.getUserId(),
+            eventId
+        );
+
+        return ResponseEntity.ok(ApiResponse.success(response));
+    }
+
     /**
      * AI 추천 선택 (Step 2-2)
      *
@@ -300,7 +323,7 @@ public class EventController {
     @PutMapping("/{eventId}/recommendations")
     @Operation(summary = "AI 추천 선택", description = "AI가 생성한 추천 중 하나를 선택하고 커스터마이징합니다.")
     public ResponseEntity<ApiResponse<Void>> selectRecommendation(
-            @PathVariable UUID eventId,
+            @PathVariable String eventId,
             @Valid @RequestBody SelectRecommendationRequest request,
             @AuthenticationPrincipal UserPrincipal userPrincipal) {
 
@@ -328,8 +351,8 @@ public class EventController {
     @PutMapping("/{eventId}/images/{imageId}/edit")
     @Operation(summary = "이미지 편집", description = "선택된 이미지를 편집합니다.")
     public ResponseEntity<ApiResponse<ImageEditResponse>> editImage(
-            @PathVariable UUID eventId,
+            @PathVariable String eventId,
-            @PathVariable UUID imageId,
+            @PathVariable String imageId,
             @Valid @RequestBody ImageEditRequest request,
             @AuthenticationPrincipal UserPrincipal userPrincipal) {
 
@@ -357,7 +380,7 @@ public class EventController {
     @PutMapping("/{eventId}/channels")
     @Operation(summary = "배포 채널 선택", description = "이벤트를 배포할 채널을 선택합니다.")
     public ResponseEntity<ApiResponse<Void>> selectChannels(
-            @PathVariable UUID eventId,
+            @PathVariable String eventId,
             @Valid @RequestBody SelectChannelsRequest request,
             @AuthenticationPrincipal UserPrincipal userPrincipal) {
 
@@ -384,7 +407,7 @@ public class EventController {
     @PutMapping("/{eventId}")
     @Operation(summary = "이벤트 수정", description = "기존 이벤트의 정보를 수정합니다. DRAFT 상태만 수정 가능합니다.")
     public ResponseEntity<ApiResponse<EventDetailResponse>> updateEvent(
-            @PathVariable UUID eventId,
+            @PathVariable String eventId,
             @Valid @RequestBody UpdateEventRequest request,
             @AuthenticationPrincipal UserPrincipal userPrincipal) {
 

event-service/src/main/java/com/kt/event/eventservice/presentation/controller/JobController.java

@@ -13,8 +13,6 @@ import org.springframework.web.bind.annotation.PathVariable;
 import org.springframework.web.bind.annotation.RequestMapping;
 import org.springframework.web.bind.annotation.RestController;
 
-import java.util.UUID;
-
 /**
  * Job 컨트롤러
  *
@@ -26,7 +24,7 @@ import java.util.UUID;
  */
 @Slf4j
 @RestController
-@RequestMapping("/api/v1/jobs")
+@RequestMapping("/jobs")
 @RequiredArgsConstructor
 @Tag(name = "Job", description = "비동기 작업 상태 조회 API")
 public class JobController {
@@ -41,7 +39,7 @@ public class JobController {
      */
     @GetMapping("/{jobId}")
     @Operation(summary = "Job 상태 조회", description = "비동기 작업의 상태를 조회합니다 (폴링 방식).")
-    public ResponseEntity<ApiResponse<JobStatusResponse>> getJobStatus(@PathVariable UUID jobId) {
+    public ResponseEntity<ApiResponse<JobStatusResponse>> getJobStatus(@PathVariable String jobId) {
         log.info("Job 상태 조회 API 호출 - jobId: {}", jobId);
 
         JobStatusResponse response = jobService.getJobStatus(jobId);

event-service/src/main/java/com/kt/event/eventservice/presentation/controller/RedisTestController.java

@@ -12,7 +12,7 @@ import java.time.Duration;
  */
 @Slf4j
 @RestController
-@RequestMapping("/api/v1/redis-test")
+@RequestMapping("/redis-test")
 @RequiredArgsConstructor
 public class RedisTestController {
 

event-service/src/main/resources/application.yml

@@ -71,7 +71,7 @@ spring:
 server:
   port: ${SERVER_PORT:8080}
   servlet:
-    context-path: /api/v1/events
+    context-path: /api/v1
   shutdown: graceful
 
 # Actuator Configuration
@@ -141,6 +141,10 @@ feign:
   distribution-service:
     url: ${DISTRIBUTION_SERVICE_URL:http://localhost:8085}
 
+  # AI Service Client
+  ai-service:
+    url: ${AI_SERVICE_URL:http://ai-service/api/v1/ai}
+
 # Application Configuration
 app:
   kafka:

participation-service-backup.yaml

@@ -0,0 +1,38 @@
+apiVersion: v1
+kind: Service
+metadata:
+  annotations:
+    kubectl.kubernetes.io/last-applied-configuration: |
+      {"apiVersion":"v1","kind":"Service","metadata":{"annotations":{},"labels":{"app":"participation-service","app.kubernetes.io/managed-by":"kustomize","app.kubernetes.io/part-of":"kt-event-marketing","environment":"dev"},"name":"participation-service","namespace":"kt-event-marketing"},"spec":{"ports":[{"name":"http","port":80,"protocol":"TCP","targetPort":8084}],"selector":{"app":"participation-service","app.kubernetes.io/managed-by":"kustomize","app.kubernetes.io/part-of":"kt-event-marketing","environment":"dev"},"type":"ClusterIP"}}
+  creationTimestamp: "2025-10-28T08:59:06Z"
+  labels:
+    app: participation-service
+    app.kubernetes.io/managed-by: kustomize
+    app.kubernetes.io/part-of: kt-event-marketing
+    environment: dev
+  name: participation-service
+  namespace: kt-event-marketing
+  resourceVersion: "125107611"
+  uid: da5b7f82-37d3-41bd-ad87-e2864c8bcd18
+spec:
+  clusterIP: 10.0.130.146
+  clusterIPs:
+  - 10.0.130.146
+  internalTrafficPolicy: Cluster
+  ipFamilies:
+  - IPv4
+  ipFamilyPolicy: SingleStack
+  ports:
+  - name: http
+    port: 80
+    protocol: TCP
+    targetPort: 8084
+  selector:
+    app: participation-service
+    app.kubernetes.io/managed-by: kustomize
+    app.kubernetes.io/part-of: kt-event-marketing
+    environment: dev
+  sessionAffinity: None
+  type: ClusterIP
+status:
+  loadBalancer: {}

participation-service-fixed.yaml

@@ -0,0 +1,27 @@
+apiVersion: v1
+kind: Service
+metadata:
+  labels:
+    app: participation-service
+    app.kubernetes.io/managed-by: kustomize
+    app.kubernetes.io/part-of: kt-event-marketing
+    environment: dev
+  name: participation-service
+  namespace: kt-event-marketing
+spec:
+  clusterIP: 10.0.130.146
+  clusterIPs:
+  - 10.0.130.146
+  internalTrafficPolicy: Cluster
+  ipFamilies:
+  - IPv4
+  ipFamilyPolicy: SingleStack
+  ports:
+  - name: http
+    port: 80
+    protocol: TCP
+    targetPort: 8084
+  selector:
+    app: participation-service
+  sessionAffinity: None
+  type: ClusterIP

participation-service/src/main/java/com/kt/event/participation/infrastructure/config/SecurityConfig.java

@@ -1,17 +1,13 @@
 package com.kt.event.participation.infrastructure.config;
 
-import org.springframework.beans.factory.annotation.Value;
 import org.springframework.context.annotation.Bean;
 import org.springframework.context.annotation.Configuration;
 import org.springframework.security.config.annotation.web.builders.HttpSecurity;
 import org.springframework.security.config.annotation.web.configuration.EnableWebSecurity;
+import org.springframework.security.config.annotation.web.configuration.WebSecurityCustomizer;
+import org.springframework.security.config.annotation.web.configurers.AbstractHttpConfigurer;
 import org.springframework.security.config.http.SessionCreationPolicy;
 import org.springframework.security.web.SecurityFilterChain;
-import org.springframework.web.cors.CorsConfiguration;
-import org.springframework.web.cors.CorsConfigurationSource;
-import org.springframework.web.cors.UrlBasedCorsConfigurationSource;
-
-import java.util.Arrays;
 
 /**
  * Security Configuration for Participation Service
@@ -24,43 +20,31 @@ import java.util.Arrays;
 @EnableWebSecurity
 public class SecurityConfig {
 
-    @Value("${cors.allowed-origins:http://localhost:*,https://kt-event-marketing-api.20.214.196.128.nip.io/api/v1}")
-    private String allowedOrigins;
-
     @Bean
-    public SecurityFilterChain filterChain(HttpSecurity http) throws Exception {
+    public SecurityFilterChain securityFilterChain(HttpSecurity http) throws Exception {
         http
-            .csrf(csrf -> csrf.disable())
+                // CSRF 비활성화 (REST API는 CSRF 불필요)
-            .cors(cors -> cors.configurationSource(corsConfigurationSource()))
+                .csrf(AbstractHttpConfigurer::disable)
-            .sessionManagement(session -> session.sessionCreationPolicy(SessionCreationPolicy.STATELESS))
+
-            .authorizeHttpRequests(auth -> auth
+                // 세션 사용 안 함 (JWT 기반 인증)
-                // Actuator endpoints
+                .sessionManagement(session ->
-                .requestMatchers("/actuator/**").permitAll()
+                        session.sessionCreationPolicy(SessionCreationPolicy.STATELESS)
-                .anyRequest().permitAll()
+                )
-            );
+
+                // 모든 요청 허용 (테스트용)
+                .authorizeHttpRequests(auth -> auth
+                        .anyRequest().permitAll()
+                );
 
         return http.build();
     }
 
+    /**
+     * Chrome DevTools 요청 등 정적 리소스 요청을 Spring Security에서 제외
+     */
     @Bean
-    public CorsConfigurationSource corsConfigurationSource() {
+    public WebSecurityCustomizer webSecurityCustomizer() {
-        CorsConfiguration configuration = new CorsConfiguration();
+        return (web) -> web.ignoring()
-
+                .requestMatchers("/.well-known/**");
-        String[] origins = allowedOrigins.split(",");
-        configuration.setAllowedOriginPatterns(Arrays.asList(origins));
-
-        configuration.setAllowedMethods(Arrays.asList("GET", "POST", "PUT", "DELETE", "PATCH", "OPTIONS"));
-
-        configuration.setAllowedHeaders(Arrays.asList(
-            "Authorization", "Content-Type", "X-Requested-With", "Accept",
-            "Origin", "Access-Control-Request-Method", "Access-Control-Request-Headers"
-        ));
-
-        configuration.setAllowCredentials(true);
-        configuration.setMaxAge(3600L);
-
-        UrlBasedCorsConfigurationSource source = new UrlBasedCorsConfigurationSource();
-        source.registerCorsConfiguration("/**", configuration);
-        return source;
     }
 }

participation-service/src/main/java/com/kt/event/participation/infrastructure/config/WebConfig.java

@@ -0,0 +1,32 @@
+package com.kt.event.participation.infrastructure.config;
+
+import org.springframework.context.annotation.Configuration;
+import org.springframework.web.servlet.config.annotation.CorsRegistry;
+import org.springframework.web.servlet.config.annotation.WebMvcConfigurer;
+
+/**
+ * Web Configuration
+ * CORS 설정 및 기타 웹 관련 설정
+ *
+ * @author System Architect
+ * @since 2025-10-30
+ */
+@Configuration
+public class WebConfig implements WebMvcConfigurer {
+
+    /**
+     * CORS 설정
+     * - 모든 origin 허용 (개발 환경)
+     * - 모든 HTTP 메서드 허용
+     * - Credentials 허용
+     */
+    @Override
+    public void addCorsMappings(CorsRegistry registry) {
+        registry.addMapping("/**")
+                .allowedOriginPatterns("*")
+                .allowedMethods("GET", "POST", "PUT", "DELETE", "PATCH", "OPTIONS")
+                .allowedHeaders("*")
+                .allowCredentials(true)
+                .maxAge(3600);
+    }
+}

participation-service/src/main/java/com/kt/event/participation/presentation/controller/DebugController.java

@@ -1,104 +0,0 @@
-package com.kt.event.participation.presentation.controller;
-
-import com.kt.event.participation.domain.participant.Participant;
-import com.kt.event.participation.domain.participant.ParticipantRepository;
-import lombok.RequiredArgsConstructor;
-import lombok.extern.slf4j.Slf4j;
-import org.springframework.web.bind.annotation.*;
-
-import java.util.List;
-
-/**
- * 디버깅용 컨트롤러
- */
-@Slf4j
-@CrossOrigin(origins = "http://localhost:3000")
-@RestController
-@RequestMapping("/debug")
-@RequiredArgsConstructor
-public class DebugController {
-
-    private final ParticipantRepository participantRepository;
-
-    /**
-     * 중복 참여 체크 테스트
-     */
-    @GetMapping("/exists/{eventId}/{phoneNumber}")
-    public String testExists(@PathVariable String eventId, @PathVariable String phoneNumber) {
-        try {
-            log.info("디버그: 중복 체크 시작 - eventId: {}, phoneNumber: {}", eventId, phoneNumber);
-
-            boolean exists = participantRepository.existsByEventIdAndPhoneNumber(eventId, phoneNumber);
-
-            log.info("디버그: 중복 체크 결과 - exists: {}", exists);
-
-            long totalCount = participantRepository.count();
-            long eventCount = participantRepository.countByEventId(eventId);
-
-            return String.format(
-                "eventId: %s, phoneNumber: %s, exists: %s, totalCount: %d, eventCount: %d",
-                eventId, phoneNumber, exists, totalCount, eventCount
-            );
-
-        } catch (Exception e) {
-            log.error("디버그: 예외 발생", e);
-            return "ERROR: " + e.getMessage();
-        }
-    }
-
-    /**
-     * 모든 참여자 데이터 조회
-     */
-    @GetMapping("/participants")
-    public String getAllParticipants() {
-        try {
-            List<Participant> participants = participantRepository.findAll();
-
-            StringBuilder sb = new StringBuilder();
-            sb.append("Total participants: ").append(participants.size()).append("\n\n");
-
-            for (Participant p : participants) {
-                sb.append(String.format("ID: %s, EventID: %s, Phone: %s, Name: %s\n",
-                    p.getParticipantId(), p.getEventId(), p.getPhoneNumber(), p.getName()));
-            }
-
-            return sb.toString();
-
-        } catch (Exception e) {
-            log.error("디버그: 참여자 조회 예외 발생", e);
-            return "ERROR: " + e.getMessage();
-        }
-    }
-
-    /**
-     * 특정 전화번호의 참여 이력 조회
-     */
-    @GetMapping("/phone/{phoneNumber}")
-    public String getByPhoneNumber(@PathVariable String phoneNumber) {
-        try {
-            List<Participant> participants = participantRepository.findAll();
-
-            StringBuilder sb = new StringBuilder();
-            sb.append("Participants with phone: ").append(phoneNumber).append("\n\n");
-
-            int count = 0;
-            for (Participant p : participants) {
-                if (phoneNumber.equals(p.getPhoneNumber())) {
-                    sb.append(String.format("ID: %s, EventID: %s, Name: %s\n",
-                        p.getParticipantId(), p.getEventId(), p.getName()));
-                    count++;
-                }
-            }
-
-            if (count == 0) {
-                sb.append("No participants found with this phone number.");
-            }
-
-            return sb.toString();
-
-        } catch (Exception e) {
-            log.error("디버그: 전화번호별 조회 예외 발생", e);
-            return "ERROR: " + e.getMessage();
-        }
-    }
-}

participation-service/src/main/java/com/kt/event/participation/presentation/controller/ParticipationController.java

@@ -25,9 +25,8 @@ import org.springframework.web.bind.annotation.*;
  * @since 2025-01-24
  */
 @Slf4j
-@CrossOrigin(origins = "http://localhost:3000")
+@RequestMapping
 @RestController
-@RequestMapping("/api/v1")
 @RequiredArgsConstructor
 public class ParticipationController {
 
@@ -68,7 +67,7 @@ public class ParticipationController {
         description = "이벤트의 참여자 목록을 페이징하여 조회합니다. " +
                      "정렬 가능한 필드: createdAt(기본값), participantId, name, phoneNumber, bonusEntries, isWinner, wonAt"
     )
-    @GetMapping("/events/{eventId}/participants")
+    @GetMapping({"/events/{eventId}/participants"})
     public ResponseEntity<ApiResponse<PageResponse<ParticipationResponse>>> getParticipants(
         @Parameter(description = "이벤트 ID", example = "evt_20250124_001")
         @PathVariable String eventId,
@@ -91,7 +90,7 @@ public class ParticipationController {
      * 참여자 상세 조회
      * GET /events/{eventId}/participants/{participantId}
      */
-    @GetMapping("/events/{eventId}/participants/{participantId}")
+    @GetMapping({"/events/{eventId}/participants/{participantId}"})
     public ResponseEntity<ApiResponse<ParticipationResponse>> getParticipant(
         @PathVariable String eventId,
         @PathVariable String participantId) {

participation-service/src/main/java/com/kt/event/participation/presentation/controller/WinnerController.java

@@ -27,7 +27,7 @@ import org.springframework.web.bind.annotation.*;
 @Slf4j
 @CrossOrigin(origins = "http://localhost:3000")
 @RestController
-@RequestMapping("/api/v1")
+@RequestMapping
 @RequiredArgsConstructor
 public class WinnerController {
 
@@ -50,7 +50,7 @@ public class WinnerController {
 
     /**
      * 당첨자 목록 조회
-     * GET /events/{eventId}/winners
+     * GET /participations/{eventId}/winners
      */
     @Operation(
         summary = "당첨자 목록 조회",

run-content-service.bat

@@ -0,0 +1,81 @@
+@echo off
+REM Content Service 실행 스크립트
+REM Port: 8084
+REM Context Path: /api/v1/content
+
+setlocal enabledelayedexpansion
+
+set SERVICE_NAME=content-service
+set PORT=8084
+set LOG_DIR=logs
+set LOG_FILE=%LOG_DIR%\%SERVICE_NAME%.log
+
+REM 로그 디렉토리 생성
+if not exist "%LOG_DIR%" mkdir "%LOG_DIR%"
+
+REM 환경 변수 설정
+set SERVER_PORT=8084
+set REDIS_HOST=20.214.210.71
+set REDIS_PORT=6379
+set REDIS_PASSWORD=Hi5Jessica!
+set REDIS_DATABASE=0
+set JWT_SECRET=kt-event-marketing-jwt-secret-key-for-authentication-and-authorization-2025
+set JWT_ACCESS_TOKEN_VALIDITY=3600000
+set JWT_REFRESH_TOKEN_VALIDITY=604800000
+
+REM Azure Blob Storage
+set AZURE_STORAGE_CONNECTION_STRING=DefaultEndpointsProtocol=https;AccountName=blobkteventstorage;AccountKey=tcBN7mAfojbl0uGsOpU7RNuKNhHnzmwDiWjN31liSMVSrWaEK+HHnYKZrjBXXAC6ZPsuxUDlsf8x+AStd++QYg==;EndpointSuffix=core.windows.net
+set AZURE_CONTAINER_NAME=content-images
+
+REM CORS
+set CORS_ALLOWED_ORIGINS=http://localhost:8080,http://localhost:8081,http://localhost:8082,http://localhost:8083,http://localhost:8084,http://kt-event-marketing.20.214.196.128.nip.io
+set CORS_ALLOWED_METHODS=GET,POST,PUT,DELETE,OPTIONS,PATCH
+set CORS_ALLOWED_HEADERS=*
+set CORS_ALLOW_CREDENTIALS=true
+set CORS_MAX_AGE=3600
+
+REM Logging
+set LOG_LEVEL_APP=DEBUG
+set LOG_LEVEL_WEB=INFO
+set LOG_LEVEL_ROOT=INFO
+set LOG_FILE_PATH=%LOG_FILE%
+set LOG_FILE_MAX_SIZE=10MB
+set LOG_FILE_MAX_HISTORY=7
+set LOG_FILE_TOTAL_CAP=100MB
+
+echo ==================================================
+echo Content Service 시작
+echo ==================================================
+echo 포트: %PORT%
+echo 로그 파일: %LOG_FILE%
+echo Context Path: /api/v1/content
+echo ==================================================
+
+REM 기존 프로세스 확인
+for /f "tokens=5" %%a in ('netstat -ano ^| findstr ":%PORT%.*LISTENING"') do (
+    echo ⚠️  포트 %PORT%가 이미 사용 중입니다. PID: %%a
+    set /p answer="기존 프로세스를 종료하시겠습니까? (y/n): "
+    if /i "!answer!"=="y" (
+        taskkill /F /PID %%a
+        timeout /t 2 /nobreak > nul
+    ) else (
+        echo 서비스 시작을 취소합니다.
+        exit /b 1
+    )
+)
+
+REM 서비스 시작
+echo 서비스를 시작합니다...
+start /b cmd /c "gradlew.bat %SERVICE_NAME%:bootRun > %LOG_FILE% 2>&1"
+
+timeout /t 3 /nobreak > nul
+
+echo ✅ Content Service가 시작되었습니다.
+echo 로그 확인: tail -f %LOG_FILE% 또는 type %LOG_FILE%
+echo.
+echo Health Check: curl http://localhost:%PORT%/api/v1/content/actuator/health
+echo.
+echo 서비스 종료: 작업 관리자에서 java 프로세스 종료
+echo ==================================================
+
+endlocal

run-content-service.sh

@@ -0,0 +1,80 @@
+#!/bin/bash
+
+# Content Service 실행 스크립트
+# Port: 8084
+# Context Path: /api/v1/content
+
+SERVICE_NAME="content-service"
+PORT=8084
+LOG_DIR="logs"
+LOG_FILE="${LOG_DIR}/${SERVICE_NAME}.log"
+
+# 로그 디렉토리 생성
+mkdir -p ${LOG_DIR}
+
+# 환경 변수 설정
+export SERVER_PORT=8084
+export REDIS_HOST=20.214.210.71
+export REDIS_PORT=6379
+export REDIS_PASSWORD=Hi5Jessica!
+export REDIS_DATABASE=0
+export JWT_SECRET=kt-event-marketing-jwt-secret-key-for-authentication-and-authorization-2025
+export JWT_ACCESS_TOKEN_VALIDITY=3600000
+export JWT_REFRESH_TOKEN_VALIDITY=604800000
+
+# Azure Blob Storage
+export AZURE_STORAGE_CONNECTION_STRING="DefaultEndpointsProtocol=https;AccountName=blobkteventstorage;AccountKey=tcBN7mAfojbl0uGsOpU7RNuKNhHnzmwDiWjN31liSMVSrWaEK+HHnYKZrjBXXAC6ZPsuxUDlsf8x+AStd++QYg==;EndpointSuffix=core.windows.net"
+export AZURE_CONTAINER_NAME=content-images
+
+# CORS
+export CORS_ALLOWED_ORIGINS="http://localhost:8080,http://localhost:8081,http://localhost:8082,http://localhost:8083,http://localhost:8084,http://kt-event-marketing.20.214.196.128.nip.io"
+export CORS_ALLOWED_METHODS="GET,POST,PUT,DELETE,OPTIONS,PATCH"
+export CORS_ALLOWED_HEADERS="*"
+export CORS_ALLOW_CREDENTIALS=true
+export CORS_MAX_AGE=3600
+
+# Logging
+export LOG_LEVEL_APP=DEBUG
+export LOG_LEVEL_WEB=INFO
+export LOG_LEVEL_ROOT=INFO
+export LOG_FILE_PATH="${LOG_FILE}"
+export LOG_FILE_MAX_SIZE=10MB
+export LOG_FILE_MAX_HISTORY=7
+export LOG_FILE_TOTAL_CAP=100MB
+
+echo "=================================================="
+echo "Content Service 시작"
+echo "=================================================="
+echo "포트: ${PORT}"
+echo "로그 파일: ${LOG_FILE}"
+echo "Context Path: /api/v1/content"
+echo "=================================================="
+
+# 기존 프로세스 확인
+if netstat -ano | grep -q ":${PORT}.*LISTENING"; then
+    echo "⚠️  포트 ${PORT}가 이미 사용 중입니다."
+    echo "기존 프로세스를 종료하시겠습니까? (y/n)"
+    read -r answer
+    if [ "$answer" = "y" ]; then
+        PID=$(netstat -ano | grep ":${PORT}.*LISTENING" | awk '{print $5}' | head -1)
+        taskkill //F //PID ${PID}
+        sleep 2
+    else
+        echo "서비스 시작을 취소합니다."
+        exit 1
+    fi
+fi
+
+# 서비스 시작
+echo "서비스를 시작합니다..."
+nohup ./gradlew ${SERVICE_NAME}:bootRun > ${LOG_FILE} 2>&1 &
+SERVICE_PID=$!
+
+echo "✅ Content Service가 시작되었습니다."
+echo "PID: ${SERVICE_PID}"
+echo "로그 확인: tail -f ${LOG_FILE}"
+echo ""
+echo "Health Check: curl http://localhost:${PORT}/api/v1/content/actuator/health"
+echo ""
+echo "서비스 종료: kill ${SERVICE_PID}"
+echo "=================================================="