Create mock backend to simulate AI responses for UI development:
Backend Implementation:
- tools/fake-backend/server.js: Express server with CORS
- POST /api/analyze: Accepts log, returns mock AI analysis with 1.5s delay
- GET /health: Health check endpoint
- Pattern matching for different log types (PostgreSQL, Nginx, Node.js, Disk)
- Error handling: 400 for empty payload, 500 for server errors
- Mock responses for common errors (OOM, 502, connection refused, disk full)
Container Setup:
- Dockerfile: Node.js 20 Alpine container
- docker-compose.yml: Added fake-backend service on port 3000
- Health checks for both frontend and backend services
- Environment variable VITE_API_URL for frontend
Frontend Integration:
- InteractiveDemo.tsx: Replaced static data with real fetch() calls
- API_URL configurable via env var (default: http://localhost:3000)
- Error handling with user-friendly messages
- Shows backend URL in demo section
- Maintains loading states and UI feedback
Documentation:
- docs/tools_fake_backend.md: Complete usage guide
- README.md: Updated with tools/fake-backend structure and usage
Development Workflow:
1. docker compose up -d (starts both frontend and backend)
2. Frontend calls http://fake-backend:3000/api/analyze
3. Backend returns realistic mock responses
4. No OpenRouter API costs during development
Safety First:
- No real API calls during development
- Isolated mock logic in dedicated tool
- Easy switch to real backend by changing URL
- CORS enabled only for development
Refs: Sprint 4 preparation, API development workflow
Update documentation to reflect demo simulation status:
README.md: Add note explaining demo uses static mock data
CHANGELOG.md: Add Interactive Demo entry marked as Mock
roadmap_ideas.md: Update status to in-evaluation with priority note
Prevents user confusion about AI capabilities in demo section.
Refs: Sprint 3, demo clarification
Create containerized development setup for safe and consistent frontend development:
Docker Configuration:
- docker-compose.yml: Root-level orchestration with frontend service
- frontend/Dockerfile.dev: Node.js 20 Alpine optimized for dev
- Volume mounts for Hot Module Replacement (HMR)
- Named volume for node_modules to avoid conflicts
- Health check to verify service availability
- Environment variables for file watching (CHOKIDAR_USEPOLLING)
Vite Configuration Update:
- vite.config.ts: Add server config for Docker compatibility
- host: '0.0.0.0' to accept external connections
- usePolling: true for file watching in container
- port: 5173 explicitly configured
Documentation:
- README.md: Add Docker development procedure section
- Document docker compose up -d workflow
- Explain HMR and hot-reload capabilities
- List advantages of Docker-based development
Usage:
docker compose up -d # Start development server
docker compose logs -f # View logs
docker compose down # Stop container
Access: http://localhost:5173
Safety First:
- Isolated environment prevents system conflicts
- Reproducible setup across different machines
- No host Node.js installation required
- Easy team onboarding
Refs: Docker best practices for Node.js development
- Add MCP servers documentation (n8n, context7, sequential-thinking)
- Update README.md with complete project structure and requirements.txt
- Transform agents.md into comprehensive agent staff catalog (9 agents)
- Update CHANGELOG.md with [Unreleased] MCP entries
- Fix ingestion_script.md acceptance criteria checkboxes
- Add .opencode/opencode.json to .gitignore for security
- Include new agent configs: n8n_specialist_agent, context_auditor_agent
- Include new skill playbooks: n8n_automation, context7_documentation
Security: API credentials in .opencode/opencode.json are now gitignored
