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Architecture

This document outlines the architectural decisions, technology stack, and project structure of the Veea system.

Clean Architecture

The Veea system follows Clean Architecture principles to ensure separation of concerns, testability, and maintainability.

Layers

  1. Presentation Layer: Contains UI components, widgets, and state management
  2. Domain Layer: Contains business logic, entities, and use cases
  3. Data Layer: Contains repositories, data sources, and models

Benefits

  • Independence: Each layer is independent and can be developed in isolation
  • Testability: Business logic can be tested without UI or external dependencies
  • Flexibility: Easy to swap implementations without affecting other layers
  • Maintainability: Clear separation makes the codebase easier to understand and maintain

Technology Stack

Frontend Framework

  • Flutter: Cross-platform UI framework for building natively compiled applications
  • Dart: Programming language used with Flutter

State Management

  • BLoC Pattern: Business Logic Component for state management
  • Cubit: Simplified implementation of BLoC for simpler use cases
  • Provider: Dependency injection and state management solution

Data Persistence

  • SQLite: Local database for offline data storage
  • SharedPreferences: Simple key-value storage for app settings

Networking

  • Dio: HTTP client for making network requests

Dependency Injection

  • GetIt: Service locator for dependency injection
  • Injectable: Code generation for dependency injection setup
  • Auto Route: Code generation for navigation routes

Foreign Function Interface (FFI)

  • rinf: Rust-Dart FFI binding for high-performance native code integration
  • Platform Channels: For communication with platform-specific code

Project Structure

lib/
├── core/                          # Core functionality and utilities
│   ├── constants/                 # App-wide constants
│   ├── errors/                    # Custom error classes
│   ├── network/                   # Network configuration
│   └── themes/                    # App themes and styles
├── components/                    # Shared components
│   ├── helper/                    # Helper functions and extensions
│   ├── utils/                     # Utility functions
│   └── widgets/                   # Reusable widgets
├── plugins/                       # External plugins
│   └── rust_ai_engine/            # Custom Rust AI engine
├── features/                      # Feature modules
│   ├── core/                      # Core/shared/common global features
│   ├── auth/                      # Authentication feature
│   ├── note_taking/               # Note-taking feature
│   ├── note_library/              # Notes library feature
│   ├── ai_pipeline/               # AI pipeline process feature
│   └── settings/                  # Settings feature
└── main.dart                      # App entry point

Feature Structure

Each feature module follows the same Clean Architecture structure:

features/feature_name/
├── data/                          # Data layer for the feature
│   ├── datasources/               # Local and remote data sources
│   ├── models/                    # Data models
│   └── repositories/              # Repository implementations
├── domain/                        # Domain layer for the feature
│   ├── entities/                  # Business entities
│   ├── repositories/              # Repository interfaces
│   └── usecases/                  # Business logic use cases
└── presentation/                  # Presentation layer for the feature
    ├── pages/                     # Screen pages
    ├── providers/                 # State management providers
    └── widgets/                   # Feature-specific widgets

Key Architectural Decisions

1. Feature-First Approach

The application is organized by features rather than technical layers. This approach:

  • Improves code discoverability
  • Enables feature teams to work independently
  • Reduces coupling between unrelated features
  • Makes it easier to maintain and scale the application

2. Dependency Injection

We use dependency injection to:

  • Improve testability by allowing easy mocking of dependencies
  • Reduce coupling between components
  • Enable better code reuse
  • Simplify configuration management

3. Reactive Programming

The application uses reactive programming patterns to:

  • Handle asynchronous operations elegantly
  • Create responsive user interfaces
  • Simplify state management
  • Improve code readability

4. Type Safety

We emphasize type safety to:

  • Catch errors at compile time rather than runtime
  • Improve code documentation
  • Enable better IDE support
  • Reduce bugs and improve code quality

Future Considerations

Scalability

The architecture is designed to scale with the application:

  • Modular structure allows for easy addition of new features
  • Clean separation of concerns prevents codebase bloat
  • Dependency injection enables easy swapping of implementations

Performance

Performance considerations include:

  • Efficient state management to minimize unnecessary rebuilds
  • Lazy loading of resources to reduce initial app size
  • Caching strategies to improve response times
  • Optimized database queries and network requests

Testing

The architecture supports comprehensive testing:

  • Unit tests for business logic
  • Widget tests for UI components
  • Integration tests for complete user flows
  • Mock implementations for external dependencies