Architecting Flutter Applications
Contents
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Core Architectural Principles
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Structuring the Layers
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Implementing the Data Layer
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Feature Implementation Workflow
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Examples
Core Architectural Principles
Design Flutter applications to scale by strictly adhering to the following principles:
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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.
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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.
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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.
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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.
- UI Layer (Presentation)
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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).
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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.
- Logic Layer (Domain) - Conditional
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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.
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If the application is a standard CRUD app: Omit this layer. Allow ViewModels to interact directly with Repositories.
- Data Layer (Model)
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Responsibilities: Act as the SSOT for all application data. Handle business data, external API consumption, event processing, and data synchronization.
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Components: Divide the Data layer strictly into Repositories and Services.
Implementing the Data Layer
Services
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Role: Wrap external APIs (HTTP servers, local databases, platform plugins).
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Implementation: Write Services as stateless Dart classes. Do not store application state here.
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Mapping: Create exactly one Service class per external data source.
Repositories
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Role: Act as the SSOT for domain data.
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Implementation: Consume raw data from Services. Handle caching, offline synchronization, and retry logic.
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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.
Task Progress:
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Step 1: Define Domain Models. Create immutable Dart classes representing the core data structures required by the feature.
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Step 2: Implement Services. Create stateless Service classes to handle raw data fetching (e.g., HTTP GET/POST).
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Step 3: Implement Repositories. Create Repository classes that consume the Services, handle caching, and return Domain Models.
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Step 4: Implement ViewModels. Create ViewModels that consume the Repositories. Expose immutable state and define methods (commands) for user actions.
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Step 5: Implement Views. Create Flutter Widgets that bind to the ViewModel state and trigger ViewModel methods on user interaction.
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Step 6: Run Validator. Execute unit tests for Services, Repositories, and ViewModels. Execute widget tests for Views.
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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}');
},
);
} }