Flutter App

Architecting Flutter Applications

Core Architectural Principles

Design Flutter applications to scale by strictly adhering to the following principles:

• Enforce Separation of Concerns: Decouple UI rendering from business logic and data fetching. Organize the codebase into distinct layers (UI, Logic, Data) and further separate by feature within those layers.
• Maintain a Single Source of Truth (SSOT): Centralize application state and data in the Data layer. Ensure the SSOT is the only component authorized to mutate its respective data.
• Implement Unidirectional Data Flow (UDF): Flow state downwards from the Data layer to the UI layer. Flow events upwards from the UI layer to the Data layer.
• Treat UI as a Function of State: Drive the UI entirely via immutable state objects. Rebuild widgets reactively when the underlying state changes.

Structuring the Layers

Separate the application into 2 to 3 distinct layers depending on complexity. Restrict communication so that a layer only interacts with the layer directly adjacent to it.

1. UI Layer (Presentation)

Views (Widgets): Build reusable, lean widgets. Strip all business and data-fetching logic from the widget tree. Restrict widget logic to UI-specific concerns (e.g., animations, routing, layout constraints).

ViewModels: Manage the UI state. Consume domain models from the Data/Logic layers and transform them into presentation-friendly formats. Expose state to the Views and handle user interaction events.

2. Logic Layer (Domain) - Conditional

• If the application requires complex client-side business logic: Implement a Logic layer containing Use Cases or Interactors. Use this layer to orchestrate interactions between multiple repositories before passing data to the UI layer.
• If the application is a standard CRUD app: Omit this layer. Allow ViewModels to interact directly with Repositories.

3. Data Layer (Model)

Responsibilities: Act as the SSOT for all application data. Handle business data, external API consumption, event processing, and data synchronization.

Components: Divide the Data layer strictly into Repositories and Services.

Implementing the Data Layer

Services

Role: Wrap external APIs (HTTP servers, local databases, platform plugins).

Implementation: Write Services as stateless Dart classes. Do not store application state here.

Mapping: Create exactly one Service class per external data source.

Repositories

Role: Act as the SSOT for domain data.

Implementation: Consume raw data from Services. Handle caching, offline synchronization, and retry logic.

Transformation: Transform raw API/Service data into clean Domain Models formatted for consumption by ViewModels.

Feature Implementation Workflow

Follow this sequential workflow when adding a new feature to the application.

1. Step 1: Define Domain Models. Create immutable Dart classes representing the core data structures required by the feature.
2. Step 2: Implement Services. Create stateless Service classes to handle raw data fetching (e.g., HTTP GET/POST).
3. Step 3: Implement Repositories. Create Repository classes that consume the Services, handle caching, and return Domain Models.
4. Step 4: Implement ViewModels. Create ViewModels that consume the Repositories. Expose immutable state and define methods (commands) for user actions.
5. Step 5: Implement Views. Create Flutter Widgets that bind to the ViewModel state and trigger ViewModel methods on user interaction.
6. Step 6: Run Validator. Execute unit tests for Services, Repositories, and ViewModels. Execute widget tests for Views.

Feedback Loop: Review test failures → Fix logic/mocking errors → Re-run tests until passing.

Examples

Data Layer: Service and Repository

// 1. Service (Stateless API Wrapper)
class UserApiService {
  final HttpClient _client;
  
  UserApiService(this._client);

  Future<Map<String, dynamic>> fetchUserRaw(String userId) async {
    final response = await _client.get('/users/$userId');
    return response.data;
  }
}

// 2. Domain Model (Immutable)
class User {
  final String id;
  final String name;
  
  const User({required this.id, required this.name});
}

// 3. Repository (SSOT & Data Transformer)
class UserRepository {
  final UserApiService _apiService;
  User? _cachedUser;

  UserRepository(this._apiService);

  Future<User> getUser(String userId) async {
    if (_cachedUser != null && _cachedUser!.id == userId) {
      return _cachedUser!;
    }
    
    final rawData = await _apiService.fetchUserRaw(userId);
    final user = User(id: rawData['id'], name: rawData['name']);
    
    _cachedUser = user; // Cache data
    return user;
  }
}

UI Layer: ViewModel and View

// 4. ViewModel (State Management)
class UserViewModel extends ChangeNotifier {
  final UserRepository _userRepository;
  
  User? user;
  bool isLoading = false;
  String? error;

  UserViewModel(this._userRepository);

  Future<void> loadUser(String userId) async {
    isLoading = true;
    error = null;
    notifyListeners();

    try {
      user = await _userRepository.getUser(userId);
    } catch (e) {
      error = e.toString();
    } finally {
      isLoading = false;
      notifyListeners();
    }
  }
}

// 5. View (Lean UI)
class UserProfileView extends StatelessWidget {
  final UserViewModel viewModel;

  const UserProfileView({Key? key, required this.viewModel}) : super(key: key);

  @override
  Widget build(BuildContext context) {
    return ListenableBuilder(
      listenable: viewModel,
      builder: (context, child) {
        if (viewModel.isLoading) return const CircularProgressIndicator();
        if (viewModel.error != null) return Text('Error: ${viewModel.error}');
        if (viewModel.user == null) return const Text('No user data.');
        
        return Text('Hello, ${viewModel.user!.name}');
      },
    );
  }
}