🦒 Zuraffa #

A comprehensive Clean Architecture framework for Flutter applications with Result-based error handling, type-safe failures, and minimal boilerplate.

📚 Documentation #

Full Documentation - Complete guides and API reference
Landing Page - Beautiful overview and quick start
Github - Source code and example
Plugin Development Guide - Build custom generation plugins
Plugin API Reference - Plugin system APIs

What is Zuraffa? #

🦒 Zuraffa (Zürafa means Giraffe in Türkçe) is a modern Flutter package that implements Clean Architecture principles with a focus on developer experience and type safety. It provides a robust set of tools for building scalable, testable, and maintainable Flutter applications.

Key Features #

✅ Clean Architecture Enforced: Entity-based, Single (Responsibility) Repository, Orchestrator, and Polymorphic patterns
✅ UseCase Pattern: Single-shot, streaming, and background operations
✅ State Management Included: Simple state management with automatic cleanup
✅ ZFA CLI Tool: Generate boilerplate code with zfa command
✅ MCP Server: AI/IDE integration via Model Context Protocol
✅ GraphQL Generation: Auto-generate queries, mutations, and subscriptions
✅ Cancellation: Cooperative cancellation with CancelToken
✅ Fine-grained Rebuilds: Optimize performance with selective widget updates
✅ Caching: Built-in dual datasource pattern with flexible cache policies
✅ Result Type: Type-safe error handling with Result<T, AppFailure>
✅ Sealed Failures: Exhaustive pattern matching for error cases

Installation #

Add this to your package's pubspec.yaml file:

dependencies:
  zuraffa: ^2.7.0

Then run:

flutter pub get

Quick Start #

1. Configure Your Project #

First, set up ZFA configuration for your project:

# Activate the CLI
dart pub global activate zuraffa

# Create configuration with defaults
zfa config init

# Optionally customize defaults
zfa config set jsonByDefault false

Configuration Options:

useZorphyByDefault - Use Zorphy for entities (default: true)
jsonByDefault - Default JSON serialization (default: true)
compareByDefault - Default compareTo generation (default: true)
defaultEntityOutput - Entity output (default: lib/src/domain/entities)

Note: Entity generation requires zorphy_annotation in your project. ZFA will prompt you to add it when creating your first entity, or you can add it now:
dart pub add zorphy_annotation

2. Create Your Entities #

Create entities first, then generate Clean Architecture around them:

# Create an enum
zfa entity enum -n OrderStatus --value pending,processing,shipped,delivered

# Create entities with fields
zfa entity create -n User --field name:String --field email:String?
zfa entity create -n Order --field customer:\$User --field status:OrderStatus --field items:List<\$OrderItem>
zfa entity create -n OrderItem --field product:\$Product --field quantity:int --field price:double

# List all entities
zfa entity list

3. Generate Clean Architecture #

Now generate complete features around your entities:

# Generate a complete feature for your entity
zfa generate Order --methods=get,getList,create,update,delete --data --vpc --state --test

# Or generate multiple entities at once
zfa generate User --methods=get,create --data
zfa generate Product --methods=get,getList,watch,watchList --data --vpc --state

That's it! One command generates:

✅ Domain layer (UseCases + Repository interface)
✅ Data layer (DataRepository + DataSource)
✅ Presentation layer (View, Presenter, Controller, State)
✅ Unit tests for all UseCases

4. Run Code Generation #

After creating entities, run the build:

# Run Zorphy + json_serializable code generation
zfa build

# Or watch for changes
zfa build --watch

This generates:

Entity implementations with copyWith, ==, hashCode, toString
JSON serialization (toJson/fromJson)
Typed patch classes for updates (when using --zorphy)

5. Use the Generated Code #

class ProductView extends CleanView {
  final ProductRepository productRepository;

  const ProductView({super.key, required this.productRepository});

  @override
  State<ProductView> createState() => _ProductViewState(
    ProductController(
      ProductPresenter(productRepository: productRepository),
    ),
  );
}

class _ProductViewState extends CleanViewState<ProductView, ProductController> {
  _ProductViewState(super.controller);

  @override
  void onInitState() {
    super.onInitState();
    controller.getProductList();
  }

  @override
  Widget get view {
    return Scaffold(
      key: globalKey,
      appBar: AppBar(title: const Text('Products')),
      body: ControlledWidgetBuilder<ProductController>(
        builder: (context, controller) {
          if (controller.viewState.isLoading) {
            return const CircularProgressIndicator();
          }
          return ListView.builder(
            itemCount: controller.viewState.productList.length,
            itemBuilder: (context, index) {
              final product = controller.viewState.productList[index];
              return ListTile(title: Text(product.name));
            },
          );
        },
      ),
    );
  }
}

Generated Output Example #

✅ Created 2 entities

  ⟳ lib/src/domain/entities/order/order.dart
  ⟳ lib/src/domain/entities/order/order.zorphy.dart
  ⟳ lib/src/domain/entities/order/order.g.dart
  ⟳ lib/src/domain/entities/order_item/order_item.dart
  ⟳ lib/src/domain/entities/order_item/order_item.zorphy.dart
  ⟳ lib/src/domain/entities/order_item/order_item.g.dart

✅ Generated 21 files for Order

  ⟳ lib/src/domain/repositories/order_repository.dart
  ⟳ lib/src/domain/usecases/order/get_order_usecase.dart
  ⟳ lib/src/domain/usecases/order/watch_order_usecase.dart
  ⟳ lib/src/domain/usecases/order/create_order_usecase.dart
  ⟳ lib/src/domain/usecases/order/update_order_usecase.dart
  ⟳ lib/src/domain/usecases/order/delete_order_usecase.dart
  ⟳ lib/src/domain/usecases/order/get_order_list_usecase.dart
  ⟳ lib/src/domain/usecases/order/watch_order_list_usecase.dart
  ⟳ lib/src/presentation/pages/order/order_presenter.dart
  ⟳ lib/src/presentation/pages/order/order_controller.dart
  ⟳ lib/src/presentation/pages/order/order_view.dart
  ⟳ lib/src/presentation/pages/order/order_state.dart
  ⟳ lib/src/data/data_sources/order/order_data_source.dart
  ⟳ lib/src/data/repositories/data_order_repository.dart
  ✓ test/domain/usecases/order/get_order_usecase_test.dart
  ✓ test/domain/usecases/order/watch_order_usecase_test.dart
  ✓ test/domain/usecases/order/create_order_usecase_test.dart
  ✓ test/domain/usecases/order/update_order_usecase_test.dart
  ✓ test/domain/usecases/order/delete_order_usecase_test.dart
  ✓ test/domain/usecases/order/get_order_list_usecase_test.dart
  ✓ test/domain/usecases/order/watch_order_list_usecase_test.dart

📝 Next steps:
   • Create a DataSource that implements ProductDataSource in data layer
   • Register repositories with DI container
   • Run tests: flutter test

Core Concepts #

Result Type #

All operations return Result<T, AppFailure> for type-safe error handling:

final result = await getProductUseCase('product-123');

// Pattern matching with fold
result.fold(
  (product) => showProduct(product),
  (failure) => showError(failure),
);

// Or use switch for exhaustive handling
switch (failure) {
  case NotFoundFailure():
    showNotFound();
  case NetworkFailure():
    showOfflineMessage();
  case UnauthorizedFailure():
    navigateToLogin();
  default:
    showGenericError();
}

AppFailure Hierarchy #

Zuraffa provides a sealed class hierarchy for comprehensive error handling:

sealed class AppFailure implements Exception {
  final String message;
  final StackTrace? stackTrace;
  final Object? cause;
}

// Specific failure types
final class ServerFailure extends AppFailure { ... }
final class NetworkFailure extends AppFailure { ... }
final class ValidationFailure extends AppFailure { ... }
final class NotFoundFailure extends AppFailure { ... }
final class UnauthorizedFailure extends AppFailure { ... }
final class ForbiddenFailure extends AppFailure { ... }
final class TimeoutFailure extends AppFailure { ... }
final class CacheFailure extends AppFailure { ... }
final class ConflictFailure extends AppFailure { ... }
final class CancellationFailure extends AppFailure { ... }
final class UnknownFailure extends AppFailure { ... }

Data Updates #

Zuraffa supports two strategies for updating entities:

1. Flexible Partial Updates (Default)

Uses Partial<T> (a Map<String, dynamic>) to send only changed fields. The generator automatically adds validation to ensure only valid fields are updated.

// Generated UpdateUseCase
// params.validate(['id', 'name', 'price']); <-- Auto-generated from Entity
await updateProduct(id: '123', data: {'name': 'New Product Name'});

2. Typed Updates with Zorphy (`--zorphy`)

If you use Zorphy or similar tools, you can use typed Patch objects for full type safety.

zfa generate Product --methods=update --zorphy

// Generated with --zorphy
await updateProduct(id: '123', data: ProductPatch(name: 'New Product Name'));

UseCase Types #

Single-shot UseCase

For operations that return once:

class GetProductUseCase extends UseCase<Product, String> {
  final ProductRepository _repository;

  GetProductUseCase(this._repository);

  @override
  Future<Product> execute(String productId, CancelToken? cancelToken) async {
    return _repository.getProduct(productId);
  }
}

StreamUseCase

For reactive operations that emit multiple values:

class WatchProductsUseCase extends StreamUseCase<List<Product>, NoParams> {
  final ProductRepository _repository;

  WatchProductsUseCase(this._repository);

  @override
  Stream<List<Product>> execute(NoParams params, CancelToken? cancelToken) {
    return _repository.watchProducts();
  }
}

BackgroundUseCase

For CPU-intensive operations on isolates:

class ProcessImageUseCase extends BackgroundUseCase<ProcessedImage, ImageParams> {
  @override
  BackgroundTask<ImageParams> buildTask() => _processImage;

  static void _processImage(BackgroundTaskContext<ImageParams> context) {
    final result = applyFilters(context.params.image);
    context.sendData(result);
    context.sendDone();
  }
}

CompletableUseCase

For operations that don't return a value (like delete, logout, or clear cache):

class DeleteProductUseCase extends CompletableUseCase<String> {
  final ProductRepository _repository;

  DeleteProductUseCase(this._repository);

  @override
  Future<void> execute(String productId, CancelToken? cancelToken) async {
    cancelToken?.throwIfCancelled();
    await _repository.delete(productId);
  }
}

// Usage - returns Result<void, AppFailure>
final result = await deleteProductUseCase('product-123');
result.fold(
  (_) => showSuccess('Product deleted'),
  (failure) => showError(failure),
);

CompletableUseCase is useful when you only care about whether an operation succeeded or failed, without needing any returned data. Common use cases include:

Delete operations
Logout/sign out
Clear cache
Send analytics events
Fire-and-forget notifications

SyncUseCase

For synchronous operations that don't require async processing (validation, calculations, transformations):

class ValidateEmailUseCase extends SyncUseCase<bool, String> {
  @override
  bool execute(String email) {
    return RegExp(r'^[\w-\.]+@([\w-]+\.)+[\w-]{2,4}$').hasMatch(email);
  }
}

// Usage - returns Result<bool, AppFailure>
final validateEmail = ValidateEmailUseCase();
final result = validateEmail('user@example.com');
result.fold(
  (isValid) => print('Email is valid: $isValid'),
  (failure) => print('Validation failed: $failure'),
);

SyncUseCase is useful for operations that complete immediately without async I/O:

Validation logic - Email, phone number, format checks
Data transformations - Mapping, filtering, aggregations
Calculations - Totals, averages, conversions
Business rules - Eligibility, permissions, checks

Controller with State #

Controllers use StatefulController<T> with immutable state objects:

class ProductController extends Controller with StatefulController<ProductState> {
  final ProductPresenter _presenter;

  ProductController(this._presenter) : super();

  @override
  ProductState createInitialState() => const ProductState();

  Future<void> getProductList() async {
    updateState(viewState.copyWith(isGettingList: true));
    final result = await _presenter.getProductList();

    result.fold(
      (list) => updateState(viewState.copyWith(
        isGettingList: false,
        productList: list,
      )),
      (failure) => updateState(viewState.copyWith(
        isGettingList: false,
        error: failure,
      )),
    );
  }

  Future<void> createProduct(Product product) async {
    updateState(viewState.copyWith(isCreating: true));
    final result = await _presenter.createProduct(product);

    result.fold(
      (created) => updateState(viewState.copyWith(
        isCreating: false,
        productList: [...viewState.productList, created],
      )),
      (failure) => updateState(viewState.copyWith(
        isCreating: false,
        error: failure,
      )),
    );
  }
}

State #

Immutable state classes are auto-generated with the --state flag:

class ProductState {
  final AppFailure? error;
  final List<Product> productList;
  final Product? product;
  final bool isGetting;
  final bool isCreating;
  final bool isUpdating;
  final bool isDeleting;
  final bool isGettingList;

  const ProductState({
    this.error,
    this.productList = const [],
    this.product,
    this.isGetting = false,
    this.isCreating = false,
    this.isUpdating = false,
    this.isDeleting = false,
    this.isGettingList = false,
  });

  ProductState copyWith({...}) => ...;

  bool get isLoading => isGetting || isCreating || isUpdating || isDeleting || isGettingList;
  bool get hasError => error != null;
}

CleanView #

Base class for views with automatic lifecycle management. Views are pure UI and delegate all business logic to the Controller:

class ProductView extends CleanView {
  final ProductRepository productRepository;

  const ProductView({super.key, required this.productRepository});

  @override
  State<ProductView> createState() => _ProductViewState(
    ProductController(
      ProductPresenter(productRepository: productRepository),
    ),
  );
}

class _ProductViewState extends CleanViewState<ProductView, ProductController> {
  _ProductViewState(super.controller);

  @override
  void onInitState() {
    super.onInitState();
    controller.getProductList();
  }

  @override
  Widget get view {
    return Scaffold(
      key: globalKey, // Important: use globalKey on root widget
      appBar: AppBar(title: const Text('Products')),
      body: ControlledWidgetBuilder<ProductController>(
        builder: (context, controller) {
          if (controller.viewState.isLoading) {
            return const CircularProgressIndicator();
          }
          return ListView.builder(
            itemCount: controller.viewState.productList.length,
            itemBuilder: (context, index) {
              final product = controller.viewState.productList[index];
              return ListTile(title: Text(product.name));
            },
          );
        },
      ),
    );
  }
}

Dependency Injection Generation #

Zuraffa can automatically generate dependency injection setup using get_it:

# Generate DI files alongside your code
zfa generate Product --methods=get,getList,create --data --vpc --di

# Use mock datasource in DI (for development/testing)
zfa generate Product --methods=get,getList --data --mock --di --use-mock

# With caching enabled
zfa generate Product --methods=get,getList --data --cache --di

Generated DI Structure #

lib/src/di/
├── index.dart                    # Main entry with setupDependencies()
├── datasources/
│   ├── index.dart               # Auto-generated
│   └── product_remote_data_source_di.dart
├── repositories/
│   ├── index.dart               # Auto-generated
│   └── product_repository_di.dart
├── usecases/
│   ├── index.dart               # Auto-generated
│   ├── get_product_usecase_di.dart
│   └── get_product_list_usecase_di.dart
├── presenters/
│   ├── index.dart               # Auto-generated
│   └── product_presenter_di.dart
└── controllers/
    ├── index.dart               # Auto-generated
│   └── product_controller_di.dart

Usage #

import 'package:get_it/get_it.dart';
import 'src/di/index.dart';

void main() {
  final getIt = GetIt.instance;
  setupDependencies(getIt);
  
  runApp(MyApp());
}

// Access registered dependencies
final productRepository = getIt<ProductRepository>();
final productController = getIt<ProductController>();

Features #

✅ One file per component: No merge conflicts
✅ Auto-generated indexes: Directory scanning regenerates imports
✅ Cache support: Registers remote + local datasources when --cache used
✅ Mock support: Use --use-mock to register mock datasources
✅ Fail-safe: Regenerate anytime without manual merging

Cache Initialization (Hive) #

When using --cache with --di, Zuraffa automatically generates cache initialization files:

# Generate with cache and DI
zfa generate Product --methods=get,getList --data --cache --cache-policy=ttl --ttl=30 --di

Generated Cache Structure #

lib/src/cache/
├── hive_registrar.dart              # @GenerateAdapters for all entities
├── hive_manual_additions.txt        # Template for nested entities/enums
├── product_cache.dart               # Opens Product box
├── timestamp_cache.dart             # Opens timestamps box
├── ttl_30_minutes_cache_policy.dart # Cache policy implementation
└── index.dart                       # initAllCaches() + exports

Adding Nested Entities and Enums #

The generator creates hive_manual_additions.txt for entities that aren't directly cached but need adapters (nested entities, enums, etc.):

# Hive Manual Additions
# Format: import_path|EntityName

../domain/entities/enums/index.dart|ParserType
../domain/entities/enums/index.dart|HttpClientType
../domain/entities/range/range.dart|Range
../domain/entities/filter_parameter/filter_parameter.dart|FilterParameter

After adding entries, regenerate:

zfa generate Product --methods=get --data --cache --di --force

The registrar will include all manual additions:

@GenerateAdapters([
  AdapterSpec<ParserType>(),
  AdapterSpec<HttpClientType>(),
  AdapterSpec<Range>(),
  AdapterSpec<FilterParameter>(),
  AdapterSpec<Product>()
])

Generated Files #

hive_registrar.dart - Automatic adapter registration:

@GenerateAdapters([AdapterSpec<Product>(), AdapterSpec<User>()])
part 'hive_registrar.g.dart';

extension HiveRegistrar on HiveInterface {
  void registerAdapters() {
    registerAdapter(ProductAdapter());
    registerAdapter(UserAdapter());
  }
}

Cache policy - Fully implemented with Hive:

CachePolicy createTtl30MinutesCachePolicy() {
  final timestampBox = Hive.box<int>('cache_timestamps');
  return TtlCachePolicy(
    ttl: const Duration(minutes: 30),
    getTimestamps: () async => Map<String, int>.from(timestampBox.toMap()),
    setTimestamp: (key, timestamp) async => await timestampBox.put(key, timestamp),
    removeTimestamp: (key) async => await timestampBox.delete(key),
    clearAll: () async => await timestampBox.clear(),
  );
}

Usage #

import 'package:hive_ce_flutter/hive_ce_flutter.dart';
import 'src/cache/index.dart';
import 'src/di/index.dart';

void main() async {
  WidgetsFlutterBinding.ensureInitialized();
  
  await Hive.initFlutter();
  await initAllCaches();  // Registers adapters + opens boxes
  
  setupDependencies(GetIt.instance);
  
  runApp(MyApp());
}

Workflow #

Generate code with --cache and --di
Run dart run build_runner build (generates hive_registrar.g.dart)
Call initAllCaches() before DI setup

Features #

✅ Automatic adapter registration: No manual Hive.registerAdapter() calls
✅ Separate policy files: daily_cache_policy.dart, ttl_<N>_minutes_cache_policy.dart
✅ Custom TTL: Use --ttl=<minutes> for custom durations
✅ Type-safe: Abstract DataSource type allows easy mock/remote switching

Mock Data Generation #

Zuraffa can generate realistic mock data for your entities, perfect for testing, UI previews, and development:

# Generate mock data alongside other layers
zfa generate Product --methods=get,getList,create --vpc --mock

# Generate only mock data files
zfa generate Product --mock-data-only

Generated Mock Data #

Mock data files provide realistic test data with proper type safety:

// Generated: lib/src/data/mock/product_mock_data.dart
class ProductMockData {
  static final List<Product> products = [
    Product(
      id: 'id 1',
      name: 'name 1', 
      description: 'description 1',
      price: 10.5,
      category: 'category 1',
      isActive: true,
      createdAt: DateTime.now().subtract(Duration(days: 30)),
      updatedAt: DateTime.now().subtract(Duration(days: 30)),
    ),
    Product(
      id: 'id 2',
      name: 'name 2',
      description: 'description 2', 
      price: 21.0,
      category: 'category 2',
      isActive: false,
      createdAt: DateTime.now().subtract(Duration(days: 60)),
      updatedAt: DateTime.now().subtract(Duration(days: 60)),
    ),
    // ... more items
  ];

  static Product get sampleProduct => products.first;
  static List<Product> get sampleList => products;
  static List<Product> get emptyList => [];
  
  // Large dataset for performance testing
  static List<Product> get largeProductList => List.generate(100, 
    (index) => _createProduct(index + 1000));
}

Features #

✅ Realistic data: Type-appropriate values for all field types
✅ Nested entities: Automatic detection and cross-references
✅ Complex types: Support for List<T>, Map<K,V>, nullable types
✅ Enum handling: Smart imports only when needed
✅ Large datasets: Generated methods for performance testing
✅ Null safety: Proper handling of optional fields

Usage in Tests #

// Use in unit tests
test('should process product list', () {
  final products = ProductMockData.sampleList;
  final result = processProducts(products);
  expect(result.length, equals(3));
});

// Use in widget tests  
testWidgets('should display product', (tester) async {
  await tester.pumpWidget(ProductView(
    product: ProductMockData.sampleProduct,
  ));
  expect(find.text('name 1'), findsOneWidget);
});

CLI Tool #

Zuraffa includes a powerful CLI tool (zfa) for generating boilerplate code.

Installation #

# Global activation
dart pub global activate zuraffa

# Or run directly
dart run zuraffa:zfa

Entity Commands (NEW!) #

Zuraffa now includes full Zorphy entity generation - create type-safe entities, enums, and manage data models:

# Create an entity with fields
zfa entity create -n User --field name:String --field email:String? --field age:int

# Create an enum
zfa entity enum -n Status --value active,inactive,pending

# Quick-create a simple entity
zfa entity new -n Product

# Add fields to existing entity
zfa entity add-field -n User --field phone:String?

# Create entity from JSON file
zfa entity from-json user_data.json

# List all entities
zfa entity list

# Build generated code
zfa build
zfa build --watch  # Watch for changes
zfa build --clean  # Clean and rebuild

Full Entity Generation Features:

✅ Type-safe entities with null safety
✅ JSON serialization (built-in)
✅ Sealed classes for polymorphism
✅ Multiple inheritance support
✅ Generic types (List<T>, Map<K,V>)
✅ Nested entities with auto-imports
✅ Enum integration
✅ Self-referencing types (trees)
✅ compareTo, copyWith, patch` methods

📖 For complete entity generation documentation, see ENTITY_GUIDE.md

Generate Clean Architecture #

One command generates your entire feature:

# Generate everything at once - Domain, Data, and Presentation layers
zfa generate Product --methods=get,getList,create,update,delete --data --vpc --state

# Generate with mock data for testing and UI previews
zfa generate Product --methods=get,getList,create,update,delete --data --vpc --state --mock

# Generate only mock data files
zfa generate Product --mock-data-only

# Or generate incrementally:

# Generate UseCases + Repository interface
zfa generate Product --methods=get,getList,create,update,delete

# Add presentation layer (View, Presenter, Controller, State)
zfa generate Product --methods=get,getList,create,update,delete --vpc --state

# Add data layer (DataRepository + DataSource)
zfa generate Product --methods=get,getList,create,update,delete --data

# Use typed patches for updates (Zorphy support)
zfa generate Product --methods=update --zorphy

# Enable caching with dual datasources
zfa generate Config --methods=get,getList --data --cache --cache-policy=daily

# Preview what would be generated without writing files
zfa generate Product --methods=get,getList --dry-run

# Generate with unit tests for each UseCase
zfa generate Product --methods=get,create,update,delete --test

# Custom UseCase with repository
zfa generate SearchProduct --domain=search --repo=Product --params=Query --returns=List<Product>

# Custom UseCase with service (alternative to repository)
zfa generate SendEmail --domain=notifications --service=Email --params=EmailMessage --returns=void

# Orchestrator pattern (compose UseCases)
zfa generate ProcessCheckout --domain=checkout --usecases=ValidateCart,ProcessPayment --params=CheckoutRequest --returns=OrderResult

# Background UseCase for CPU-intensive operations (runs on isolate)
zfa generate CalculatePrimeNumbers --type=background --params=int --returns=int

Services vs Repositories

Zuraffa supports two patterns for dependency injection in custom UseCases:

Repositories (--repo) - Use for data access and entity operations

zfa generate GetProduct --domain=product --repo=Product --params=String --returns=Product

Services (--service) - Use for business logic, external APIs, or non-entity operations

# Generate a service interface
zfa generate SendEmail --domain=notifications --service=Email --params=EmailMessage --returns=void

# Generated service interface
abstract class EmailService {
  Future<void> sendEmail(EmailMessage params);
}

When to use Services:

External API integrations (payment gateways, email services, SMS)
Business logic that doesn't involve entities
Utility operations (file processing, calculations, transformations)
Third-party SDK integrations (analytics, crash reporting, authentication)

When to use Repositories:

CRUD operations on entities
Data access (local or remote)
Caching and offline support
Data synchronization

GraphQL Generation

Generate GraphQL query/mutation/subscription files for your entities and UseCases with the --gql flag.

Entity-Based GraphQL Generation:

# Basic GraphQL with auto-generated queries
zfa generate Product --methods=get,getList --gql

# With custom return fields
zfa generate Product --methods=get,getList,create --gql --gql-returns="id,name,price,category,isActive,createdAt"

# With custom operation types
zfa generate Product --methods=watch,watchList --gql --gql-type=subscription

# Complete GraphQL setup
zfa generate Product --methods=get,getList,create,update,delete --data --gql --gql-returns="id,name,description,price,category,isActive,createdAt,updatedAt"

Generated files are placed in:

lib/src/data/data_sources/{entity}/graphql/
├── get_product_query.dart
├── get_product_list_query.dart
├── create_product_mutation.dart
└── update_product_mutation.dart

Custom UseCase with GraphQL:

# Custom UseCase with GraphQL query
zfa generate SearchProducts \
  --service=Search \
  --domain=products \
  --params=SearchQuery \
  --returns=List<Product> \
  --gql \
  --gql-type=query \
  --gql-name=searchProducts \
  --gql-input-type=SearchInput \
  --gql-returns="id,name,price,category"

# Custom UseCase with GraphQL mutation
zfa generate UploadFile \
  --service=Storage \
  --domain=storage \
  --params=FileData \
  --returns=String \
  --gql \
  --gql-type=mutation \
  --gql-name=uploadFile \
  --gql-input-type=FileInput

# Custom UseCase with GraphQL subscription
zfa generate WatchUserLocation \
  --service=Location \
  --domain=realtime \
  --params=UserId \
  --returns=Location \
  --gql \
  --gql-type=subscription

GraphQL Options:

Flag	Description
`--gql`	Enable GraphQL generation
`--gql-type`	Operation type: query, mutation, subscription (auto-detected for entity methods)
`--gql-returns`	Return fields as comma-separated string
`--gql-input-type`	Input type name for mutation/subscription
`--gql-input-name`	Input variable name (default: input)
`--gql-name`	Custom operation name (default: auto-generated)

Auto-Detection for Entity Methods:

get, getList → query
create, update, delete → mutation
watch, watchList → subscription

GraphQL Generation #

Zuraffa provides powerful GraphQL generation capabilities, creating type-safe GraphQL queries, mutations, and subscriptions directly from your entity and UseCase definitions.

Generated GraphQL Code #

When you use the --gql flag, Zuraffa generates GraphQL operation files with string constants that you can use directly with any GraphQL client (like graphql_flutter or ferry).

Example: Entity-Based Generation

zfa generate Product --methods=get,getList,create --gql --gql-returns="id,name,price,category,isActive,createdAt"

Generated File: lib/src/data/data_sources/product/graphql/get_product_query.dart

// Generated GraphQL query for GetProduct
const String getProductsQuery = r'''
  query GetProduct($id: String!) {
    getProduct(id: $id) {
      id
      name
      price
      category
      isActive
      createdAt
    }
  }''';

Generated File: lib/src/data/data_sources/product/graphql/create_product_mutation.dart

// Generated GraphQL mutation for CreateProduct
const String createProductMutation = r'''
  mutation CreateProduct($input: CreateProductInput!) {
    createProduct(input: $input) {
      id
      name
      price
      category
      isActive
      createdAt
    }
  }''';

Example: Custom UseCase with GraphQL

zfa generate SearchProducts \
  --service=Search \
  --domain=products \
  --params=SearchQuery \
  --returns=List<Product> \
  --gql \
  --gql-type=query \
  --gql-name=searchProducts \
  --gql-input-type=SearchInput \
  --gql-returns="id,name,price,category,rating"

Generated File: lib/src/data/data_sources/products/graphql/search_products_query.dart

// Generated GraphQL query for SearchProducts
const String searchProductsQuery = r'''
  query SearchProducts($input: SearchInput!) {
    searchProducts(input: $input) {
      id
      name
      price
      category
      rating
    }
  }''';

Using Generated GraphQL #

Here's how to use the generated GraphQL strings with a GraphQL client:

import 'package:graphql_flutter/graphql_flutter.dart';
import 'package:zuraffa_example/data/data_sources/product/graphql/get_product_query.dart';
import 'package:zuraffa_example/data/data_sources/product/graphql/create_product_mutation.dart';

class ProductGraphQLDataSource {
  final GraphQLClient _client;

  ProductGraphQLDataSource(this._client);

  Future<Product> getProduct(String id) async {
    final result = await _client.query(
      QueryOptions(
        document: gql(getProductQuery),
        variables: {'id': id},
      ),
    );

    if (result.hasException) {
      throw Exception('Failed to fetch product: ${result.exception}');
    }

    return Product.fromJson(result.data!['getProduct']);
  }

  Future<Product> createProduct(CreateProductInput input) async {
    final result = await _client.mutate(
      MutationOptions(
        document: gql(createProductMutation),
        variables: {'input': input.toJson()},
      ),
    );

    if (result.hasException) {
      throw Exception('Failed to create product: ${result.exception}');
    }

    return Product.fromJson(result.data!['createProduct']);
  }
}

Subscriptions #

Generate GraphQL subscriptions for real-time updates:

zfa generate Product --methods=watchList --gql --gql-type=subscription

Generated Subscription:

// Generated GraphQL subscription for WatchProductList
const String watchProductListSubscription = r'''
  subscription WatchProductList {
    watchProductList {
      id
      name
      price
      category
      isActive
      updatedAt
    }
  }''';

Usage:

ObservableQuery<List<Product>> watchProductList() {
  return _client.subscribe(
    SubscriptionOptions(
      document: gql(watchProductListSubscription),
    ),
  );
}

Custom Fields and Types #

You have full control over the generated GraphQL operations:

# Specify nested fields
zfa generate Order --methods=get --gql --gql-returns="id,createdAt,customer{id,name,email},items{id,quantity,price,product{id,name}}"

# Custom input types
zfa generate CreateOrder \
  --service=Order \
  --domain=orders \
  --params=OrderInput \
  --returns=Order \
  --gql --gql-type=mutation \
  --gql-input-type=OrderCreateInput

Coming Soon #

🚧 Schema-First Generation (Coming Soon)

We're working on even more powerful GraphQL features:

Auto-generate entities from GraphQL schema: Import your GraphQL schema and Zuraffa will automatically create all entity definitions
Auto-generate UseCases from queries/mutations: Parse your .graphql files and generate corresponding UseCases with proper types
Type safety from schema to code: Ensure complete type alignment between your GraphQL server and Flutter app
Introspection support: Fetch live schema from GraphQL server to generate up-to-date types
Federation support: Generate code for federated GraphQL schemas

These features will make building GraphQL-powered Flutter apps even more seamless, eliminating manual type mapping and reducing boilerplate to near-zero.

Quick Reference #

Flag	Description	Example
`--gql`	Enable GraphQL generation	`--gql`
`--gql-type`	Operation type: query, mutation, subscription	`--gql-type=query`
`--gql-returns`	Return fields (comma-separated)	`--gql-returns="id,name,price"`
`--gql-input-type`	Input type name	`--gql-input-type=ProductInput`
`--gql-input-name`	Input variable name	`--gql-input-name=input`
`--gql-name`	Custom operation name	`--gql-name=getProductById`

Custom UseCase Types

The --type flag supports three variants for custom UseCases:

Type	Description	Use When
`custom` (default)	Standard UseCase with repository/service dependencies	CRUD operations, business logic
`background`	Runs on a separate isolate	CPU-intensive work (calculations, image processing)
`stream`	Emits multiple values over time	Real-time data, WebSocket, Firebase listeners

Defining Parameter and Return Types

Use --params and --returns to specify custom types for your UseCase:

# Define custom parameter and return types
zfa generate CalculatePrimeNumbers --type=background --params=int --returns=int

# Orchestrator with multiple UseCases
zfa generate ProcessCheckout --domain=checkout --usecases=ValidateCart,ProcessPayment --params=CheckoutRequest --returns=OrderConfirmation

Flag	Description	Example
`--params`	Input parameter type for the UseCase	`--params=int`, `--params=ProductFilter`
`--returns`	Return type from the UseCase	`--returns=bool`, `--returns=List<Product>`

Available Methods #

Method	UseCase Type	Description
`get`	UseCase	Get single entity by ID
`getList`	UseCase	Get all entities
`create`	UseCase	Create new entity
`update`	UseCase	Update existing entity
`delete`	CompletableUseCase	Delete entity by ID
`watch`	StreamUseCase	Watch single entity
`watchList`	StreamUseCase	Watch all entities

CLI Flags #

Flag	Description
`--data`	Generate DataRepository and DataSource (always includes remote datasource)
`--vpc`	Generate View, Presenter, and Controller
`--vpcs`	Generate View, Presenter, Controller, and State
`--pc`	Generate Presenter and Controller only (preserve View)
`--pcs`	Generate Presenter, Controller, and State (preserve View)
`--repo`	Repository to inject (for custom UseCases)
`--service`	Service interface to inject (alternative to --repo)
`--domain`	Domain folder (required for custom UseCases)
`--append`	Append to existing repository/datasources
`--usecases`	Orchestrator: compose UseCases (comma-separated)
`--variants`	Polymorphic: generate variants (comma-separated)
`--state`	Generate immutable State class
`--mock`	Generate mock data files alongside other layers
`--mock-data-only`	Generate only mock data files (no other layers)
`--use-mock`	Use mock datasource in DI (default: remote datasource)
`--di`	Generate dependency injection files (get_it)
`--zorphy`	Use typed Patch objects for updates
`--cache`	Enable caching with dual datasources (remote + local)
`--cache-policy`	Cache expiration: daily, restart, ttl (default: daily)
`--cache-storage`	Local storage hint: hive, sqlite, shared_preferences (default: hive)
`--ttl`	TTL duration in minutes (default: 1440 = 24 hours)
`--subfolder`	Organize under a subfolder (e.g., `--subfolder=auth`)
`--init`	Add initialize method & isInitialized stream to repos
`--force`	Overwrite existing files
`--dry-run`	Preview what would be generated without writing files
`--test`	Generate unit tests for each UseCase
`--format=json`	Output JSON for AI/IDE integration
`--gql`	Generate GraphQL query/mutation/subscription files
`--gql-type`	GraphQL operation type: query, mutation, subscription
`--gql-returns`	GraphQL return fields (comma-separated)
`--gql-input-type`	GraphQL input type name
`--gql-input-name`	GraphQL input variable name (default: input)
`--gql-name`	Custom GraphQL operation name

AI/JSON Integration #

# JSON output for parsing
zfa generate Product --methods=get,getList --format=json

# Read from stdin
echo '{"name":"Product","methods":["get","getList"]}' | zfa generate Product --from-stdin

# Get JSON schema for validation
zfa schema

# Dry run (preview without writing)
zfa generate Product --methods=get --dry-run --format=json

For complete CLI documentation, see CLI_GUIDE.md.

MCP Server #

Zuraffa includes an MCP (Model Context Protocol) server for seamless integration with AI-powered development environments like Claude Desktop, Cursor, and VS Code.

Installation #

Option 1: From pub.dev (Recommended)

dart pub global activate zuraffa
# MCP server is immediately available: zuraffa_mcp_server

Option 2: Pre-compiled Binary (Fastest)

Download from GitHub Releases:

macOS ARM64 / x64
Linux x64
Windows x64

# macOS/Linux
chmod +x zuraffa_mcp_server-macos-arm64
sudo mv zuraffa_mcp_server-macos-arm64 /usr/local/bin/zuraffa_mcp_server

Option 3: Compile from Source

dart compile exe bin/zuraffa_mcp_server.dart -o zuraffa_mcp_server

MCP Tools #

zuraffa_generate - Generate Clean Architecture code
zuraffa_schema - Get JSON schema for config validation
zuraffa_validate - Validate a generation config

For complete MCP documentation, see MCP_SERVER.md.

Project Structure #

Recommended folder structure for Clean Architecture (auto-generated by zfa):

lib/
├── main.dart
└── src/
    ├── core/                    # Shared utilities
    │   ├── error/               # Custom failures if needed
    │   ├── network/             # HTTP client, interceptors
    │   └── utils/               # Helpers, extensions
    │
    ├── data/                    # Data layer
    │   ├── data_sources/        # Remote and local data sources
    │   │   └── product/
    │   │       └── product_data_source.dart
    │   └── repositories/        # Repository implementations
    │       └── data_product_repository.dart
    │
    ├── domain/                  # Domain layer (pure Dart)
    │   ├── entities/            # Business objects
    │   │   └── product/
    │   │       └── product.dart
    │   ├── repositories/        # Repository interfaces
    │   │   └── product_repository.dart
    │   ├── services/            # Service interfaces (alternative to repositories)
    │   │   └── email_service.dart
    │   └── usecases/            # Business logic
    │       └── product/
    │           ├── get_product_usecase.dart
    │           ├── create_product_usecase.dart
    │           └── ...
    │
    └── presentation/            # Presentation layer
        └── pages/               # Full-screen views
            └── product/
                ├── product_view.dart
                ├── product_presenter.dart
                ├── product_controller.dart
                └── product_state.dart

All of this is generated with a single command:

zfa generate Product --methods=get,getList,create,update,delete --data --vpc --state

Advanced Features #

CancelToken #

Cooperative cancellation for long-running operations:

// Create a token
final cancelToken = CancelToken();

// Use with a use case
final result = await getProductUseCase(productId, cancelToken: cancelToken);

// Cancel when needed
cancelToken.cancel('Product page closed');

// Create with timeout
final timeoutToken = CancelToken.timeout(const Duration(seconds: 30));

// In Controllers, use createCancelToken() for automatic cleanup
class MyController extends Controller {
  Future<void> loadData() async {
    // Token automatically cancelled when controller disposes
    final result = await execute(myUseCase, params);
  }
}

ControlledWidgetSelector #

For fine-grained rebuilds when only specific values change:

// Only rebuilds when product.name changes
ControlledWidgetSelector<ProductController, String?>(
  selector: (controller) => controller.viewState.product?.name,
  builder: (context, productName) {
    return Text(productName ?? 'Unknown');
  },
)

Global Configuration #

void main() {
  // Enable debug logging
  Zuraffa.enableLogging();

  runApp(MyApp());
}

// Access controllers from child widgets
class MyWidget extends StatelessWidget {
  @override
  Widget build(BuildContext context) {
    final controller = Zuraffa.getController<MyController>(context);
    return ElevatedButton(
      onPressed: () => controller.doSomething(),
      child: Text('Action'),
    );
  }
}

Example #

See the example directory for a complete working application demonstrating:

✅ UseCase for CRUD operations
✅ StreamUseCase for real-time updates
✅ BackgroundUseCase for CPU-intensive calculations
✅ Controller with immutable state
✅ CleanView with ControlledWidgetBuilder
✅ CancelToken for cancellation
✅ Error handling with AppFailure

Run the example:

cd example
flutter pub get
flutter run

Documentation #

CLI Guide - Complete CLI documentation
Caching Guide - Dual datasource caching pattern
MCP Server - MCP server setup and usage
AGENTS.md - Guide for AI coding agents
Contributing - How to contribute
Code of Conduct - Community guidelines

License #

MIT License - see LICENSE for details.

Authors #

Ahmet TOK - GitHub

Made with ⚡️ for the Flutter community

zuraffa 3.13.0 zuraffa: ^3.13.0 copied to clipboard

Metadata

🦒 Zuraffa #

📚 Documentation #

What is Zuraffa? #

Key Features #

Installation #

Quick Start #

1. Configure Your Project #

2. Create Your Entities #

3. Generate Clean Architecture #

4. Run Code Generation #

5. Use the Generated Code #

Generated Output Example #

Core Concepts #

Result Type #

AppFailure Hierarchy #

Data Updates #

1. Flexible Partial Updates (Default)

2. Typed Updates with Zorphy (--zorphy)

UseCase Types #

Single-shot UseCase

StreamUseCase

BackgroundUseCase

CompletableUseCase

SyncUseCase

Controller with State #

State #

CleanView #

Dependency Injection Generation #

Generated DI Structure #

Usage #

Features #

Cache Initialization (Hive) #

Generated Cache Structure #

Adding Nested Entities and Enums #

Generated Files #

Usage #

Workflow #

Features #

Mock Data Generation #

Generated Mock Data #

Features #

Usage in Tests #

CLI Tool #

Installation #

Entity Commands (NEW!) #

Generate Clean Architecture #

Services vs Repositories

GraphQL Generation

GraphQL Generation #

Generated GraphQL Code #

Using Generated GraphQL #

Subscriptions #

Custom Fields and Types #

Coming Soon #

Quick Reference #

Custom UseCase Types

Defining Parameter and Return Types

Available Methods #

CLI Flags #

AI/JSON Integration #

MCP Server #

Installation #

MCP Tools #

Project Structure #

Advanced Features #

CancelToken #

ControlledWidgetSelector #

Global Configuration #

Example #

Documentation #

License #

Authors #

← Metadata

Publisher

Weekly Downloads

Metadata

Topics

Documentation

zuraffa 3.13.0
zuraffa: ^3.13.0 copied to clipboard

2. Typed Updates with Zorphy (`--zorphy`)