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SolarMed AI Architecture

System Overview

SolarMed AI is built as a modern web application with a focus on offline-first functionality. The system consists of a Vue.js frontend and a FastAPI backend, designed to work seamlessly in low-connectivity environments.

Architecture Diagram

┌─────────────────┐     ┌─────────────────┐     ┌─────────────────┐
│                 │     │                 │     │                 │
│  Frontend       │◄───►│  Backend        │◄───►│  Database       │
│  (Vue.js)       │     │  (FastAPI)      │     │  (SQLite)       │
│                 │     │                 │     │                 │
└────────┬────────┘     └────────┬────────┘     └─────────────────┘
         │                       │
         │                       │
         ▼                       ▼
┌─────────────────┐     ┌─────────────────┐
│                 │     │                 │
│  Service Worker │     │  AI Model       │
│  (PWA)          │     │  (TensorFlow)   │
│                 │     │                 │
└─────────────────┘     └─────────────────┘

Frontend Architecture

Components

frontend/
├── src/
│   ├── components/         # Reusable UI components
│   │   ├── common/        # Shared components
│   │   ├── forms/         # Form components
│   │   └── layout/        # Layout components
│   ├── views/             # Page components
│   ├── services/          # Business logic
│   ├── stores/            # State management
│   ├── utils/             # Utility functions
│   └── assets/            # Static assets

Key Components

  1. Service Worker

    • Handles offline functionality
    • Manages caching
    • Background synchronization

  2. State Management

    • Vuex for global state
    • Local storage for persistence
    • IndexedDB for offline data

  3. Routing

    • Vue Router for navigation
    • Route guards for auth
    • Lazy loading for performance

Backend Architecture

Components

backend/
├── app/
│   ├── api/              # API endpoints
│   ├── core/             # Core functionality
│   ├── models/           # Database models
│   ├── schemas/          # Pydantic schemas
│   └── services/         # Business logic
├── tests/                # Test suite
└── main.py              # Application entry

Key Components

  1. API Layer

    • RESTful endpoints
    • OpenAPI documentation
    • Authentication middleware

  2. Database Layer

    • SQLite for data storage
    • Alembic for migrations
    • Connection pooling

  3. AI Integration

    • TensorFlow models
    • Model versioning
    • Prediction caching

Data Flow

Online Mode

  1. User action → Frontend
  2. Frontend → API request
  3. Backend → Database
  4. Backend → AI model
  5. Response → Frontend
  6. Frontend → Update UI

Offline Mode

  1. User action → Frontend
  2. Frontend → IndexedDB
  3. Queue sync request
  4. Service Worker → Background sync
  5. Sync → Backend when online

Security Architecture

Authentication

  • JWT-based auth
  • Refresh tokens
  • Role-based access

Data Protection

  • HTTPS encryption
  • Data encryption at rest
  • Secure headers

Access Control

  • API rate limiting
  • CORS policies
  • Input validation

Performance Architecture

Caching Strategy

  • Service Worker cache
  • API response cache
  • Static asset cache

Optimization

  • Code splitting
  • Lazy loading
  • Asset compression

Monitoring

  • Performance metrics
  • Error tracking
  • Usage analytics

Deployment Architecture

Development

  • Local development server
  • Hot reloading
  • Debug tools

Production

  • Docker containers
  • Nginx reverse proxy
  • SSL termination

Scaling

  • Horizontal scaling
  • Load balancing
  • Database replication

Error Handling

Frontend

  • Error boundaries
  • Toast notifications
  • Retry mechanisms

Backend

  • Exception handlers
  • Logging system
  • Error reporting

Sync

  • Conflict resolution
  • Retry queues
  • Error recovery

Testing Architecture

Frontend Tests

  • Component tests
  • Integration tests
  • E2E tests

Backend Tests

  • Unit tests
  • API tests
  • Database tests

Performance Tests

  • Load testing
  • Stress testing
  • Benchmarking

Monitoring and Logging

Frontend

  • Error tracking
  • Performance monitoring
  • User analytics

Backend

  • Request logging
  • Error logging
  • Performance metrics

Infrastructure

  • System metrics
  • Resource usage
  • Health checks

Future Architecture

Planned Improvements

  • Microservices architecture
  • Real-time updates
  • Advanced caching

Scalability

  • Database sharding
  • Message queues
  • CDN integration

Security

  • Advanced encryption
  • Audit logging
  • Compliance features