site11/docs/PROGRESS.md

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)

# 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

# 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

# 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 <noreply@anthropic.com>"

git push origin main

Context Recovery Commands

새 세션에서 빠르게 상황 파악하기:

# 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