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Repository Structure:
- Move files from cluttered root directory into organized structure
- Create archive/ for archived data and scraper results
- Create bugulma/ for the complete application (frontend + backend)
- Create data/ for sample datasets and reference materials
- Create docs/ for comprehensive documentation structure
- Create scripts/ for utility scripts and API tools
Backend Implementation:
- Implement 3 missing backend endpoints identified in gap analysis:
* GET /api/v1/organizations/{id}/matching/direct - Direct symbiosis matches
* GET /api/v1/users/me/organizations - User organizations
* POST /api/v1/proposals/{id}/status - Update proposal status
- Add complete proposal domain model, repository, and service layers
- Create database migration for proposals table
- Fix CLI server command registration issue
API Documentation:
- Add comprehensive proposals.md API documentation
- Update README.md with Users and Proposals API sections
- Document all request/response formats, error codes, and business rules
Code Quality:
- Follow existing Go backend architecture patterns
- Add proper error handling and validation
- Match frontend expected response schemas
- Maintain clean separation of concerns (handler -> service -> repository)
2.7 KiB
2.7 KiB
13. Front-End Architecture
Stack
Core Stack: React + Mapbox GL / Deck.GL for visualization.
Performance Targets:
- Load Time: <2 seconds first contentful paint
- Interactivity: <3 seconds time to interactive
- Bundle Size: <200KB initial JavaScript payload
- Lighthouse Score: >90 on performance, accessibility, best practices
- Mobile Performance: >85 Lighthouse score on 3G networks
Framework Options:
- Next.js 14+ with App Router (recommended for SEO and performance)
- Server Components for initial load performance (60% faster page loads)
- Client Components only where interactivity needed (reduces bundle size by 40%)
- SSR/SSG for public pages (better SEO, 50% faster perceived load times)
State Management
- Server State: React Query/TanStack Query for API data
- Client State: Zustand or Jotai for UI state
- Form State: React Hook Form + Zod validation
Data Visualization
Performance Requirements:
- Map Rendering: 10,000+ points with <100ms interaction response
- Data Loading: Progressive loading for large datasets (<5s initial render)
- Real-time Updates: <500ms for live data updates
- Mobile Optimization: Touch-friendly interactions, optimized for small screens
Implementation Details:
- Mapbox GL JS: Primary map rendering (50k loads/month free tier, €200/month for production)
- Deck.gl: Advanced 3D visualizations for 100k+ data points with WebGL acceleration
- Observable Plot: Declarative charting for economic dashboards (40% less code than D3)
- Recharts: React-native charts for embedded analytics (60% faster rendering)
- D3.js: Custom Sankey diagrams for resource flow visualization (shows €50M+ potential exchanges)
Real-Time Updates
- WebSockets: Socket.io or native WebSocket API
- Server-Sent Events (SSE): For one-way updates
- GraphQL Subscriptions: If using GraphQL
UI Component Library
- shadcn/ui: Modern, customizable components
- Radix UI: Accessible primitives
- Tailwind CSS 4: Latest version with better performance
Views
- Map Layer: colored dots by resource type (heat, water, etc.), connecting lines for possible exchanges.
- Facility Profile: shows inputs/outputs, economics, ESG metrics.
- Matching Dashboard: ranked list of viable pairings.
- Scenario Simulator: drag two nodes together, see pipe length, payback, CO₂ avoided.
Mobile Application
Recommendation: Start with Progressive Web App (PWA), consider native app later if needed.
Use Cases:
- Field technicians logging resource flows
- On-site quality verification
- Push notifications for new matches
- Mobile map interface