Commit Graph

11 Commits

Author SHA1 Message Date
1ca9ca1b5d Step 9: 고급 이벤트 처리 시스템 구현
주요 기능:
- Kafka 이벤트 컨슈머 및 프로듀서 통합
- 지수 백오프 재시도 메커니즘 구현
- Dead Letter Queue (DLQ) 설정
- 이벤트 스키마 레지스트리 (Pydantic v2 호환)
- Console 서비스에 이벤트 관리 API 추가
- 실시간 이벤트 통계 및 모니터링
- 엔드-투-엔드 테스트 스크립트

구현된 이벤트 타입:
- USER_CREATED, USER_UPDATED, USER_DELETED
- OAUTH_APP_CREATED, OAUTH_TOKEN_ISSUED
- IMAGE_UPLOADED, IMAGE_PROCESSED

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

Co-Authored-By: Claude <noreply@anthropic.com>
2025-09-11 14:51:08 +09:00
a38fcc204c docs: Update documentation for Step 8 completion
- Updated PLAN.md to reflect Step 8 completion
- Added OAuth service to current services list
- Renumbered subsequent steps
- Updated PROGRESS.md with Step 8 details and outcomes
- Added new service ports and problem resolutions

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Co-Authored-By: Claude <noreply@anthropic.com>
2025-09-10 17:58:29 +09:00
1467766f3d Step 8: OAuth 2.0 인증 시스템 및 프로필 기능 구현
- OAuth 2.0 서비스 구현
  * Authorization Code, Client Credentials, Refresh Token 플로우 지원
  * 애플리케이션 등록 및 관리 기능
  * 토큰 introspection 및 revocation
  * SSO 설정 지원 (Google, GitHub, SAML)
  * 실용적인 스코프 시스템 (user, app, org, api 관리)

- 사용자 프로필 기능 확장
  * 프로필 사진 및 썸네일 필드 추가
  * bio, location, website 등 추가 프로필 정보
  * 이메일 인증 및 계정 활성화 상태 관리
  * UserPublicResponse 모델 추가

- OAuth 스코프 관리
  * picture 스코프 추가 (프로필 사진 접근 제어)
  * 카테고리별 스코프 정리 (기본 인증, 사용자 데이터, 앱 관리, 조직, API)
  * 스코프별 승인 필요 여부 설정

- 인프라 개선
  * Users 서비스 포트 매핑 추가 (8001)
  * OAuth 서비스 Docker 구성 (포트 8003)
  * Kafka 이벤트 통합 (USER_CREATED, USER_UPDATED, USER_DELETED)

🤖 Generated with Claude Code

Co-Authored-By: Claude <noreply@anthropic.com>
2025-09-10 17:37:16 +09:00
bf05e173cc Step 7: Kafka 이벤트 시스템 구현
- Kafka 및 Zookeeper 컨테이너 추가
- 공유 Kafka 라이브러리 생성 (Producer/Consumer)
- 이벤트 타입 정의 및 이벤트 모델 구현
- Users 서비스에 이벤트 발행 기능 추가 (USER_CREATED, USER_UPDATED, USER_DELETED)
- PROGRESS.md 및 PLAN.md 문서 생성
- aiokafka 통합 완료
2025-09-10 17:00:57 +09:00
4451170466 Step 6: Images Service Integration
- Integrated image-service from site00 as second microservice
- Maintained proxy and caching functionality
- Added Images service to docker-compose
- Configured Console API Gateway routing to Images
- Updated environment variables in .env
- Successfully tested image proxy endpoints

Services now running:
- Console (API Gateway)
- Users Service
- Images Service (proxy & cache)
- MongoDB & Redis

Next: Kafka event system implementation

🤖 Generated with Claude Code

Co-Authored-By: Claude <noreply@anthropic.com>
2025-09-10 16:49:48 +09:00
315eeea2ae Step 5: Authentication System & Environment Variables
- Implemented JWT authentication in Console backend
- Added .env file for environment variable management
- Updated docker-compose to use .env variables
- Created authentication endpoints (login/logout/me)
- Added protected route middleware
- Created ARCHITECTURE.md with Kafka as main messaging platform
- Defined Kafka for both events and task queues
- Redis dedicated for caching and session management

Test credentials:
- admin/admin123
- user/user123

🤖 Generated with Claude Code

Co-Authored-By: Claude <noreply@anthropic.com>
2025-09-10 16:36:47 +09:00
4b2be7ccaf Step 4: Frontend Skeleton - React + Vite + Material-UI dashboard
- Created React application with TypeScript and Material-UI
- Implemented dashboard with service health monitoring
- Added Services and Users management pages
- Configured Nginx as reverse proxy to backend
- Successfully integrated frontend with Console backend

🤖 Generated with Claude Code

Co-Authored-By: Claude <noreply@anthropic.com>
2025-09-10 16:30:11 +09:00
683305918c Step 3: MongoDB and Redis integration complete
- Added MongoDB and Redis containers to docker-compose
- Integrated Users service with MongoDB using Beanie ODM
- Replaced in-memory storage with persistent MongoDB
- Added proper data models with email validation
- Verified data persistence with MongoDB ObjectIDs

Services running:
- MongoDB: Port 27017 (with health checks)
- Redis: Port 6379 (with health checks)
- Users service: Connected to MongoDB
- Console: API Gateway routing working

Test: Users now stored in MongoDB with persistence

🤖 Generated with Claude Code

Co-Authored-By: Claude <noreply@anthropic.com>
2025-09-10 16:21:32 +09:00
7559c4c5a8 Step 2: Add Users microservice with API Gateway routing
- Created Users service with full CRUD operations
- Updated Console to act as API Gateway for Users service
- Implemented service-to-service communication
- Added service health monitoring in Console
- Docker Compose now manages both services

Services running:
- Console (API Gateway): http://localhost:8011
- Users service: Internal network only

Test endpoints:
- Status: curl http://localhost:8011/api/status
- Users: curl http://localhost:8011/api/users/users

🤖 Generated with Claude Code

Co-Authored-By: Claude <noreply@anthropic.com>
2025-09-10 16:09:36 +09:00
52b76d0e77 Step 1: Minimal Foundation - Console service with Docker
- Created docker-compose.yml with Console backend service
- Implemented Console backend with FastAPI (port 8011)
- Added health check and status endpoints
- Set up Docker-only development principle
- Console service successfully running as API Gateway foundation

Test with:
- curl http://localhost:8011/health
- curl http://localhost:8011/api/status

🤖 Generated with Claude Code

Co-Authored-By: Claude <noreply@anthropic.com>
2025-09-10 16:02:23 +09:00
5061171e45 Initial project foundation: Microservices architecture planning
- Created CLAUDE.md with architecture guidelines and context recovery guide
- Created docs/PLAN.md with progressive implementation strategy
- Created docs/PROGRESS.md for checkpoint tracking
- Added .gitignore for Python, Node, Docker environments
- Established API Gateway pattern with Console as orchestrator

🤖 Generated with Claude Code

Co-Authored-By: Claude <noreply@anthropic.com>
2025-09-10 08:56:29 +09:00