# Progress Tracking & Context Management ## Purpose 이 파일은 Claude의 컨텍스트가 리셋되어도 빠르게 현재 진행 상황을 파악하고 이어서 작업할 수 있도록 돕는 체크포인트 문서입니다. ## Current Status - **Date Started**: 2025-09-09 - **Last Updated**: 2025-10-28 - **Current Phase**: KIND Cluster Setup Complete ✅ - **Next Action**: Phase 2 - Frontend UI Implementation ## Completed Checkpoints ### Phase 1: Authentication System (OAuth2.0 + JWT) ✅ **Completed Date**: 2025-10-28 #### Backend (FastAPI + MongoDB) ✅ JWT token system (access + refresh tokens) ✅ User authentication and registration ✅ Password hashing with bcrypt ✅ Protected endpoints with JWT middleware ✅ Token refresh mechanism ✅ Role-Based Access Control (RBAC) structure ✅ MongoDB integration with Motor (async driver) ✅ Pydantic v2 models and schemas ✅ Docker image built and pushed ✅ Deployed to Kubernetes (site11-pipeline namespace) **API Endpoints**: - POST `/api/auth/register` - User registration - POST `/api/auth/login` - User login (returns access + refresh tokens) - GET `/api/auth/me` - Get current user (protected) - POST `/api/auth/refresh` - Refresh access token - POST `/api/auth/logout` - Logout **Docker Image**: `yakenator/site11-console-backend:latest` #### Frontend (React + TypeScript + Material-UI) ✅ Login page component ✅ Register page component ✅ AuthContext for global state management ✅ API client with Axios interceptors ✅ Automatic token refresh on 401 ✅ Protected routes implementation ✅ User info display in navigation bar ✅ Logout functionality ✅ Docker image built and pushed ✅ Deployed to Kubernetes (site11-pipeline namespace) **Docker Image**: `yakenator/site11-console-frontend:latest` #### Files Created/Modified **Backend Files**: - `/services/console/backend/app/core/config.py` - Settings with pydantic-settings - `/services/console/backend/app/core/security.py` - JWT & bcrypt password hashing - `/services/console/backend/app/db/mongodb.py` - MongoDB connection manager - `/services/console/backend/app/models/user.py` - User model with Pydantic v2 - `/services/console/backend/app/schemas/auth.py` - Auth request/response schemas - `/services/console/backend/app/services/user_service.py` - User business logic - `/services/console/backend/app/routes/auth.py` - Authentication endpoints - `/services/console/backend/requirements.txt` - Updated with Motor, bcrypt **Frontend Files**: - `/services/console/frontend/src/types/auth.ts` - TypeScript types - `/services/console/frontend/src/api/auth.ts` - API client with interceptors - `/services/console/frontend/src/contexts/AuthContext.tsx` - Auth state management - `/services/console/frontend/src/pages/Login.tsx` - Login page - `/services/console/frontend/src/pages/Register.tsx` - Register page - `/services/console/frontend/src/components/ProtectedRoute.tsx` - Route guard - `/services/console/frontend/src/components/Layout.tsx` - Updated with logout - `/services/console/frontend/src/App.tsx` - Router configuration - `/services/console/frontend/src/vite-env.d.ts` - Vite types **Documentation**: - `/docs/CONSOLE_ARCHITECTURE.md` - Complete system architecture #### Technical Achievements - Fixed bcrypt 72-byte limit issue by using native bcrypt library - Resolved Pydantic v2 compatibility (PyObjectId, ConfigDict) - Implemented automatic token refresh with axios interceptors - Protected routes with loading states - Nginx reverse proxy configuration for API #### Testing Results All authentication endpoints tested and working: - ✅ User registration with validation - ✅ User login with JWT tokens - ✅ Protected endpoint access with token - ✅ Token refresh mechanism - ✅ Invalid credentials rejection - ✅ Duplicate email prevention - ✅ Unauthorized access blocking ### Phase 2: Service Management CRUD 🔄 **Started Date**: 2025-10-28 **Status**: Backend Complete, Frontend In Progress #### Backend (FastAPI + MongoDB) ✅ ✅ Service model with comprehensive fields ✅ Service CRUD API endpoints (Create, Read, Update, Delete) ✅ Health check mechanism with httpx ✅ Response time measurement ✅ Status tracking (healthy/unhealthy/unknown) ✅ Service type categorization (backend, frontend, database, etc.) **API Endpoints**: - GET `/api/services` - Get all services - POST `/api/services` - Create new service - GET `/api/services/{id}` - Get service by ID - PUT `/api/services/{id}` - Update service - DELETE `/api/services/{id}` - Delete service - POST `/api/services/{id}/health-check` - Check specific service health - POST `/api/services/health-check/all` - Check all services health **Files Created**: - `/services/console/backend/app/models/service.py` - Service model - `/services/console/backend/app/schemas/service.py` - Service schemas - `/services/console/backend/app/services/service_service.py` - Business logic - `/services/console/backend/app/routes/services.py` - API routes #### Frontend (React + TypeScript) 🔄 ✅ TypeScript type definitions ✅ Service API client ⏳ Services list page (pending) ⏳ Add/Edit service modal (pending) ⏳ Health status display (pending) **Files Created**: - `/services/console/frontend/src/types/service.ts` - TypeScript types - `/services/console/frontend/src/api/service.ts` - API client ### KIND Cluster Setup (Local Development Environment) ✅ **Completed Date**: 2025-10-28 #### Infrastructure Setup ✅ KIND (Kubernetes IN Docker) 5-node cluster ✅ Cluster configuration with role-based workers ✅ NodePort mappings for console access (30080, 30081) ✅ Namespace separation (site11-console, site11-pipeline) ✅ MongoDB and Redis deployed in cluster ✅ Console backend and frontend deployed with NodePort services ✅ All 4 pods running successfully #### Management Tools ✅ `kind-setup.sh` script for cluster management ✅ `docker-compose.kubernetes.yml` for monitoring ✅ Comprehensive documentation (KUBERNETES.md, KIND_SETUP.md) #### Kubernetes Resources Created - **Cluster Config**: `/k8s/kind-dev-cluster.yaml` - **Console MongoDB/Redis**: `/k8s/kind/console-mongodb-redis.yaml` - **Console Backend**: `/k8s/kind/console-backend.yaml` - **Console Frontend**: `/k8s/kind/console-frontend.yaml` - **Management Script**: `/scripts/kind-setup.sh` - **Docker Compose**: `/docker-compose.kubernetes.yml` - **Documentation**: `/KUBERNETES.md` #### Verification Results ✅ Cluster created with 5 nodes (all Ready) ✅ Console namespace with 4 running pods ✅ NodePort services accessible (3000, 8000) ✅ Frontend login/register tested successfully ✅ Backend API health check passed ✅ Authentication system working in KIND cluster ### Earlier Checkpoints ✅ Project structure planning (CLAUDE.md) ✅ Implementation plan created (docs/PLAN.md) ✅ Progressive approach defined ✅ Step 1: Minimal Foundation - Docker + Console Hello World ✅ Step 2: Add First Service (Users) ✅ Step 3: Database Integration ## Active Working Files ``` 주요 작업 파일: - /services/console/backend/ (Console Backend - FastAPI) - /services/console/frontend/ (Console Frontend - React + TypeScript) - /docs/CONSOLE_ARCHITECTURE.md (시스템 아키텍처) - /docs/PLAN.md (구현 계획) - /docs/PROGRESS.md (이 파일) - /CLAUDE.md (개발 가이드라인) ``` ## Deployment Status ### KIND Cluster: site11-dev ✅ **Cluster Created**: 2025-10-28 **Nodes**: 5 (1 control-plane + 4 workers) ```bash # Console Namespace kubectl -n site11-console get pods # Status: 4/4 Running (mongodb, redis, console-backend, console-frontend) # Cluster Status ./scripts/kind-setup.sh status # Management ./scripts/kind-setup.sh {create|delete|deploy-console|status|logs|access|setup} ``` ### Access URLs (NodePort) - Frontend: http://localhost:3000 (NodePort 30080) - Backend API: http://localhost:8000 (NodePort 30081) - Backend Health: http://localhost:8000/health - API Docs: http://localhost:8000/docs ### Monitoring ```bash # Start monitoring docker-compose -f docker-compose.kubernetes.yml up -d docker-compose -f docker-compose.kubernetes.yml logs -f kind-monitor ``` ## Next Immediate Steps (Phase 2) ### Service Management CRUD ``` 1. Backend API for service management - Service model (name, url, status, health_endpoint) - CRUD endpoints - Health check mechanism 2. Frontend Service Management UI - Service list page - Add/Edit service form - Service status display - Health monitoring 3. Service Discovery & Registry - Auto-discovery of services - Heartbeat mechanism - Status dashboard ``` ## Important Decisions Made 1. **Architecture**: API Gateway Pattern with Console as orchestrator 2. **Tech Stack**: FastAPI + React + MongoDB + Redis + Docker + Kubernetes 3. **Authentication**: JWT with access/refresh tokens 4. **Password Security**: bcrypt (not passlib) 5. **Frontend State**: React Context API (not Redux) 6. **API Client**: Axios with interceptors for token management 7. **Deployment**: Kubernetes on Docker Desktop 8. **Docker Registry**: Docker Hub (yakenator) ## Questions to Ask When Resuming 새로운 세션에서 이어서 작업할 때 확인할 사항: 1. "Phase 1 (Authentication) 완료 확인?" 2. "Kubernetes 클러스터 정상 동작 중?" 3. "다음 Phase 2 (Service Management) 시작할까요?" ## Git Workflow ```bash # Current branch main # Commit pattern git add . git commit -m "feat: Phase 1 - Complete authentication system - Backend: JWT auth with FastAPI + MongoDB - Frontend: Login/Register with React + TypeScript - Docker images built and deployed to Kubernetes - All authentication endpoints tested 🤖 Generated with Claude Code Co-Authored-By: Claude " git push origin main ``` ## Context Recovery Commands 새 세션에서 빠르게 상황 파악하기: ```bash # 1. 현재 구조 확인 ls -la services/console/ # 2. 진행 상황 확인 cat docs/PROGRESS.md | grep "Current Phase" # 3. Kubernetes 상태 확인 kubectl -n site11-pipeline get pods # 4. Docker 이미지 확인 docker images | grep console # 5. Git 상태 확인 git status git log --oneline -5 ``` ## Troubleshooting Log ### Issue 1: Bcrypt 72-byte limit **Error**: `ValueError: password cannot be longer than 72 bytes` **Solution**: Replaced `passlib[bcrypt]` with native `bcrypt==4.1.2` **Status**: ✅ Resolved ### Issue 2: Pydantic v2 incompatibility **Error**: `__modify_schema__` not supported **Solution**: Updated to `__get_pydantic_core_schema__` and `model_config = ConfigDict(...)` **Status**: ✅ Resolved ### Issue 3: Port forwarding disconnections **Error**: Lost connection to pod **Solution**: Kill kubectl processes and restart port forwarding **Status**: ⚠️ Known issue (Kubernetes restarts) ## Notes for Next Session - Phase 1 완료! Authentication 시스템 완전히 작동함 - 모든 코드는 services/console/ 디렉토리에 있음 - Docker 이미지는 yakenator/site11-console-* 로 푸시됨 - Kubernetes에 배포되어 있음 (site11-pipeline namespace) - Phase 2: Service Management CRUD 구현 시작 가능