IMPLEMENTATION.md

Implementation Plan for Useful Cookery Rewrite

This document outlines the specific implementation tasks for the rewrite of the Useful Cookery application, focusing on the initial phases of development.

Phase 1: Foundation Implementation

Week 1-2: Setup and Infrastructure

• Set up the Go project structure
• Implement basic GraphQL server with gqlgen
• Create CI/CD pipeline with GitHub Actions
• Set up development environment documentation

Week 3-4: Core Backend Features

• Develop user authentication system with JWT
• Create initial GraphQL resolvers for basic queries
• Implement TROFF parser for recipe conversion
• Add logging and monitoring

Week 5-6: Frontend Foundation

• Set up React project with TypeScript
• Implement Apollo Client integration
• Create basic UI components
• Design responsive layout
• Implement recipe viewing functionality

Week 7-8: Integration and Testing

• Connect frontend and backend
• Implement test data migration
• Create integration tests
• Develop unit tests for critical components
• Set up end-to-end testing

Phase 2: Core Features Implementation

Week 9-10: User Management

• Implement user profile functionality
• Add user preferences
• Create account management features
• Develop role-based access control
• Implement email notifications

Week 11-12: Recipe Management

• Create recipe creation and editing UI
• Implement image upload and storage
• Add recipe categorization
• Develop recipe review and rating system
• Implement recipe saving functionality

Week 13-14: Search and Discovery

• Implement basic search with filtering
• Create category browsing views
• Add popular and recent recipe listings
• Implement tagging system
• Develop basic recommendation functionality

Week 15-16: Data Migration and Refinement

• Finalize TROFF to database migration process
• Migrate production data
• Refine UI/UX based on feedback
• Performance optimization
• Security review and hardening

Phase 3: AI Implementation

Week 17-18: AI Foundation

• Set up AI service integration layer
• Implement vector embedding storage in database
• Create recipe embedding generation pipeline
• Develop external API integration
• Implement caching for AI operations

Week 19-20: Natural Language Search

• Implement query embedding and vector search
• Create natural language query preprocessing
• Develop hybrid search (vector + keyword)
• Add search result ranking algorithms
• Create search analytics

Week 21-22: Personalized Recommendations

• Implement user preference-based recommendations
• Create ingredient availability filtering
• Develop collaborative filtering algorithm
• Add content-based recommendation features
• Implement recommendation explanation

Week 23-24: Advanced AI Features

• Add ingredient substitution suggestions
• Implement recipe difficulty estimation
• Create intelligent recipe scaling
• Develop nutrition analysis
• Implement feedback loop for AI improvement

Technical Requirements

Backend (Go)

• Go 1.20+ with modules
• gqlgen for GraphQL
• database Go client
• JWT authentication
• Testing with testify
• Logging with slog
• Configuration with viper

Frontend (React)

• React 18+ with hooks
• TypeScript
• Apollo Client for GraphQL
• Tailwind CSS for styling
• React Router for navigation
• React Testing Library for tests
• Storybook for component development

DevOps

• Docker for containerization
• GitHub Actions for CI/CD
• Terraform for infrastructure
• Prometheus and Grafana for monitoring
• ELK stack for logging

AI Integration

• OpenAI API for initial AI features
• Vector embeddings for semantic search
• Caching layer for performance
• Feedback collection for model improvement

Metrics for Success

• API response times under 100ms for non-AI endpoints
• Search results returned in under 500ms
• 95% test coverage for critical components
• Zero high or critical security vulnerabilities
• Web Core Vitals meeting "Good" thresholds