App Architecture

Overview

This document outlines the architecture stack for the React Native app, providing a structured foundation for scalable, maintainable, and flexible development. The architecture includes frontend, backend, cloud services, AI/ML integration, and state management strategies. Additionally, it emphasizes modular design to facilitate future improvements and replacements.

Component Abstraction Layer Name Purpose
Cloud Sync useCloudStorage() Allows switching between Firebase, Supabase, AWS S3
ML Services useAIService() Enables integration with FastAPI or third-party AI APIs
Authentication useAuth() Decouples authentication logic from Firebase/Supabase
State Management useAppState() Ensures global state management consistency
Local Storage useLocalStorage() Provides offline support via SQLite/AsyncStorage

1. Technology Stack

1.1 Frontend (React Native Mobile App)

1.2 Backend & Data Processing

  • Backend Framework: FastAPI (Primary API Framework) / Flask (Optional lightweight alternative)
  • Database: PostgreSQL / TimescaleDB (for time-series data)
  • Data Caching: Redis
  • GraphQL / REST API: GraphQL (for flexible queries) / REST API (for performance-critical endpoints)

1.3 AI & Machine Learning Integration

1.4 Cloud Infrastructure & Services

1.5 WordPress Plugin for Data Visualization

2. Architectural Design & Abstraction Layers

2.1 Key Abstraction Layers

Appendices

Appendix A: References

Appendix B: Decision Process

B.1 Starter Kit Selection

Starter Kit Open Source? AI/ML Ready? Cloud Sync Flexibility? Final Choice
Ignite by Infinite Red ✅ Yes (MIT) ❌ No ⚠️ Firebase Focus ✅ Best Choice
React Native Starter AI ❌ No (Paid) ✅ Yes ⚠️ Limited ❌ No (Paid)
Flatlogic React Native Starter ❌ No (Paid) ⚠️ Partial AI ❌ Firebase-Only ❌ No (Paid)
mcnamee/react-native-starter-kit ✅ Yes (MIT) ❌ No ✅ Flexible ✅ Backup Plan

B.2 Cloud Synchronization Decision

Cloud Provider Pros Cons Final Choice?
Firebase Easy Setup Vendor Lock-in ❌ No
Supabase Open-Source, SQL Newer, less proven ✅ Yes
AWS S3 + API Highly Scalable Requires API work ✅ Yes

Appendix C: Future Expansion Considerations

  • Explore on-device AI inference using TensorFlow.js or ML Kit for mobile AI capabilities.
  • Implement WebSockets for real-time updates instead of periodic API polling.
  • Consider GraphQL adoption for flexible API queries and performance improvements.
  • Develop modular feature flags to enable/disable components based on user needs.

Appendix D: Implementation Milestones

 

Milestone Description Expected Completion
1. Base Ignite Setup Install and run Ignite by Infinite Red starter kit without modifications. Short-term (Day 1-2)
2. Navigation & UI Framework Implement React Navigation and apply UI styling using React Native Paper & Tailwind CSS. Short-term (Day 3-4)
3. Authentication Setup Integrate authentication using Supabase Auth and JWT/OAuth2. Short-term (Day 5-7)
4. Offline Storage Implement SQLite and AsyncStorage for local persistence. Medium-term (Week 2)
5. Cloud Sync Integration Replace Firebase dependencies with Supabase or a custom API. Medium-term (Week 3)
6. AI/ML Backend Integration Set up FastAPI AI service and connect to mobile app. Medium-term (Week 4)
7. Data Visualization Implement Recharts and D3.js for interactive charts. Long-term (Week 5)
8. API Performance Enhancements Optimize data fetching with GraphQL/REST API improvements. Long-term (Week 6)
9. Deployment & CI/CD Automate deployment using GitHub Actions & Docker. Long-term (Week 7-8)
10. WordPress Plugin Develop and integrate WordPress plugin for data visualization. Long-term (Week 9+)

Conclusion

This architecture is designed to be flexible, modular, and future-proof while ensuring an open-source-first approach with minimal vendor lock-in. Future improvements can build upon these foundations without disrupting core functionality.