arctic-species-portal/development.md

Arctic Species Tracker - Development Guide

Tech Stack

Frontend

• React 18 with TypeScript for type safety and better developer experience
• Vite for fast development and optimized builds
• TanStack Query (React Query) for efficient data fetching and caching
• Tailwind CSS with ShadcnUI for modern, responsive design
• Lucide Icons for consistent iconography
• jsPDF for PDF report generation
• Recharts for data visualizations

Backend

• Supabase for:
  • PostgreSQL database
  • Authentication
  • Real-time subscriptions
  • Row Level Security (RLS)
  • API management

Data Sources Integration

• IUCN Red List API
• CITES Species+ API
• CITES Trade Database
• iNaturalist API for species images

Development Process

Phase 1: Setup and Infrastructure (2 weeks)

1. Project initialization and repository setup
2. Development environment configuration
3. Supabase project setup and database schema design
4. CI/CD pipeline with GitHub Actions
5. Development of core components and utilities

Phase 2: Data Integration (3 weeks)

1. Database schema implementation
2. API integration with IUCN Red List
3. Integration with CITES Species+ API
4. CITES Trade Database connection
5. iNaturalist API integration for species images
6. Data transformation and normalization

Phase 3: Core Features (4 weeks)

1. Species search functionality
2. Species details view
3. CITES listings display
4. Trade data visualization
5. Timeline implementation
6. Error handling and loading states

Phase 4: Enhanced Features (3 weeks)

1. PDF report generation
2. Data visualization improvements
3. Advanced filtering
4. Performance optimization
5. Mobile responsiveness
6. Accessibility improvements

Phase 5: Testing and Refinement (2 weeks)

1. Unit testing
2. Integration testing
3. Performance testing
4. User acceptance testing
5. Bug fixes and optimizations

Development Timeline

Total Development Time: 14 weeks

gantt
    title Arctic Species Tracker Development Timeline
    dateFormat  YYYY-MM-DD
    section Setup
    Project Setup           :2024-01-01, 1w
    Infrastructure         :2024-01-08, 1w
    section Data
    Database Schema        :2024-01-15, 1w
    API Integration        :2024-01-22, 2w
    section Core
    Basic Features        :2024-02-05, 2w
    Advanced Features     :2024-02-19, 2w
    section Enhancement
    PDF Reports          :2024-03-04, 1w
    Visualizations       :2024-03-11, 2w
    section Testing
    Testing & QA         :2024-03-25, 2w

Development Team Requirements

Core Team

• 1 Project Manager
• 2 Frontend Developers
• 1 Backend Developer
• 1 UI/UX Designer
• 1 QA Engineer

Skills Required

• React/TypeScript expertise
• PostgreSQL database design
• REST API integration
• Data visualization
• UI/UX design
• Testing methodologies

Deployment Strategy

Development Environment

• Local development using Vite
• Supabase local development
• GitHub for version control

Staging Environment

• Vercel preview deployments
• Supabase staging project
• Automated testing

Production Environment

• GitHub Pages for frontend hosting
• Supabase production instance
• Continuous deployment

Monitoring and Maintenance

Performance Monitoring

• Vercel Analytics
• Supabase Dashboard
• Error tracking with Sentry

Regular Maintenance

• Weekly dependency updates
• Monthly security audits
• Quarterly performance reviews

Future Enhancements

Planned Features

1. Advanced search filters
2. Batch report generation
3. Data export options
4. User accounts and preferences
5. Interactive maps
6. Real-time notifications

CRUD Operations Improvements

1. Enhanced IUCN Assessment Management

   • Implement full CRUD interface for IUCN assessments
   • Add validation for assessment data
   • Create hooks similar to useCitesListingCrud for IUCN assessments
   • Implement optimistic updates for better UX

2. Subpopulation Management

   • Create dedicated components for subpopulation CRUD
   • Add geospatial data support for Arctic regions
   • Implement region-specific conservation status tracking
   • Add visualization for subpopulation distribution

3. Common Names Management

   • Build multilingual support for common names
   • Add language/region tagging for names
   • Implement search by any common name
   • Create bulk import/export functionality

4. Bulk Operations

   • Develop batch processing system for multiple records
   • Create CSV import/export functionality
   • Implement transaction-based operations for data integrity
   • Add progress tracking for bulk operations

Trade Data Filtering Improvements

1. Advanced Filtering System

   • Refactor useTradeRecordFilters to support multiple filter types
   • Implement filter composition with AND/OR logic
   • Create persistent filter state with URL parameters
   • Add filter presets and user-saved filters

2. Geographic and Quantity Filtering

   • Add geospatial filtering by country/region
   • Implement trade route visualization
   • Create quantity-based threshold filters
   • Add time-series analysis for quantity changes

3. Filter UI Enhancements

   • Design multi-select filter components
   • Implement date range picker for temporal filtering
   • Create visual filter builder interface
   • Add filter state visualization

Timeline Enhancement Implementation

1. Conservation Status Change Indicators

   • Add visual flags to timeline for status changes
   • Implement correlation analysis between status changes and trade
   • Create hover tooltips with detailed change information
   • Add filtering by change significance

2. Cause-Effect Analysis

   • Develop algorithms to detect potential correlations
   • Implement visual connections between related events
   • Create statistical analysis of trade pattern changes
   • Add predictive indicators based on historical patterns

3. Timeline Visualization Improvements

   • Implement side-by-side species comparison
   • Add zooming and scaling for timeline view
   • Create custom event categories and color coding
   • Implement timeline export and sharing

Technical Improvements

1. Bundle size optimization
2. Server-side rendering
3. Progressive Web App (PWA)
4. Automated data updates
5. Enhanced caching strategies

Development Best Practices

Code Quality

• TypeScript for type safety
• ESLint for code linting
• Prettier for code formatting
• Husky for pre-commit hooks

Documentation

• Comprehensive README
• API documentation
• Component documentation
• Development guides

Testing

• Jest for unit testing
• React Testing Library
• E2E testing with Cypress
• Regular performance audits

Security Considerations

Data Protection

• API key management
• Rate limiting
• Data encryption
• Regular security audits

Compliance

• GDPR compliance
• Data retention policies
• Attribution requirements
• API usage agreements