Globales Ranking · von 600 Skills
flutter-testing-apps AI Agent Skill
Quellcode ansehen: flutter/skills
SafeInstallation
npx skills add flutter/skills --skill flutter-testing-apps 6.6K
Installationen
Testing Flutter Applications
Contents
- Core Testing Strategies
- Architectural Testing Guidelines
- Plugin Testing Guidelines
- Workflows
- Examples
Core Testing Strategies
Balance your testing suite across three main categories to optimize for confidence, maintenance cost, dependencies, and execution speed.
Unit Tests
Use unit tests to verify the correctness of a single function, method, or class under various conditions.
- Mock all external dependencies.
- Do not involve disk I/O, screen rendering, or user actions from outside the test process.
- Execute using the
testorflutter_testpackage.
Widget Tests
Use widget tests (component tests) to ensure a single widget's UI looks and interacts as expected.
- Provide the appropriate widget lifecycle context using
WidgetTester. - Use
Finderclasses to locate widgets andMatcherconstants to verify their existence and state. - Test views and UI interactions without spinning up the full application.
Integration Tests
Use integration tests (end-to-end or GUI testing) to validate how individual pieces of an app work together and to capture performance metrics on real devices.
- Add the
integration_testpackage as a dependency. - Run on physical devices, OS emulators, or Firebase Test Lab.
- Prioritize integration tests for routing, dependency injection, and critical user flows.
Architectural Testing Guidelines
Design your application for observability and testability. Ensure all components can be tested both in isolation and together.
- ViewModels: Write unit tests for every ViewModel class. Test the UI logic without relying on Flutter libraries or testing frameworks.
- Repositories & Services: Write unit tests for every service and repository. Mock the underlying data sources (e.g., HTTP clients, local databases).
- Views: Write widget tests for all views. Pass faked or mocked ViewModels and Repositories into the widget tree to isolate the UI.
- Fakes over Mocks: Prefer creating
Fakeimplementations of your repositories (e.g.,FakeUserRepository) over using mocking libraries when testing ViewModels and Views to ensure well-defined inputs and outputs.
Plugin Testing Guidelines
When testing plugins, combine Dart tests with native platform tests to ensure full coverage across the method channel.
- Dart Tests: Use Dart unit and widget tests for the Dart-facing API. Mock the platform channel to validate Dart logic.
- Native Unit Tests: Implement native unit tests for isolated platform logic.
- Android: Configure JUnit tests in
android/src/test/. - iOS/macOS: Configure XCTest tests in
example/ios/RunnerTests/andexample/macos/RunnerTests/. - Linux/Windows: Configure GoogleTest tests in
linux/test/andwindows/test/.
- Android: Configure JUnit tests in
- Native UI Tests: Use Espresso (Android) or XCUITest (iOS) if the plugin requires native UI interactions.
- Integration Tests: Write at least one integration test for each platform channel call to verify Dart-to-Native communication.
- End-to-End Fallback: If integration tests cannot cover a flow (e.g., mocking device state), synthesize calls to the method channel entry point using native unit tests, and test the Dart public API using Dart unit tests.
Workflows
Workflow: Implementing a Component Test Suite
Copy and track this checklist when implementing tests for a new architectural feature.
- Task Progress
- Create
Fakeimplementations for any new Repositories or Services. - Write Unit Tests for the Repository (mocking the API/Database).
- Write Unit Tests for the ViewModel (injecting the Fake Repositories).
- Write Widget Tests for the View (injecting the ViewModel and Fake Repositories).
- Write an Integration Test for the critical path involving this feature.
- Run validator -> review coverage -> fix missing edge cases.
- Create
Workflow: Running Integration Tests
Follow conditional logic based on the target platform when executing integration tests.
- If testing on Mobile (Local):
- Connect the Android/iOS device or emulator.
- Run:
flutter test integration_test/app_test.dart
- If testing on Web:
- Install and launch ChromeDriver:
chromedriver --port=4444 - Run:
flutter drive --driver=test_driver/integration_test.dart --target=integration_test/app_test.dart -d chrome
- Install and launch ChromeDriver:
- If testing on Linux (CI System):
- Invoke an X server using
xvfb-runto provide a display environment. - Run:
xvfb-run flutter test integration_test/app_test.dart -d linux
- Invoke an X server using
- If testing via Firebase Test Lab:
- Build the Android test APKs:
flutter build apk --debugand./gradlew app:assembleAndroidTest - Upload the App APK and Test APK to the Firebase Console.
- Build the Android test APKs:
Examples
Example: ViewModel Unit Test
Demonstrates testing a ViewModel using a Fake Repository.
import 'package:flutter_test/flutter_test.dart';
void main() {
group('HomeViewModel tests', () {
test('Load bookings successfully', () {
// Inject fake dependencies
final viewModel = HomeViewModel(
bookingRepository: FakeBookingRepository()..createBooking(kBooking),
userRepository: FakeUserRepository(),
);
// Verify state
expect(viewModel.bookings.isNotEmpty, true);
});
});
}Example: View Widget Test
Demonstrates testing a View by pumping a localized widget tree with fake dependencies.
import 'package:flutter/material.dart';
import 'package:flutter_test/flutter_test.dart';
void main() {
group('HomeScreen tests', () {
late HomeViewModel viewModel;
late FakeBookingRepository bookingRepository;
setUp(() {
bookingRepository = FakeBookingRepository()..createBooking(kBooking);
viewModel = HomeViewModel(
bookingRepository: bookingRepository,
userRepository: FakeUserRepository(),
);
});
testWidgets('renders bookings list', (WidgetTester tester) async {
await tester.pumpWidget(
MaterialApp(
home: HomeScreen(viewModel: viewModel),
),
);
// Verify UI state
expect(find.byType(ListView), findsOneWidget);
expect(find.text('Booking 1'), findsOneWidget);
});
});
}Example: Integration Test
Demonstrates a full end-to-end test using the integration_test package.
import 'package:flutter/material.dart';
import 'package:flutter_test/flutter_test.dart';
import 'package:integration_test/integration_test.dart';
import 'package:my_app/main.dart';
void main() {
IntegrationTestWidgetsFlutterBinding.ensureInitialized();
group('end-to-end test', () {
testWidgets('tap on the floating action button, verify counter', (tester) async {
// Load app widget
await tester.pumpWidget(const MyApp());
// Verify initial state
expect(find.text('0'), findsOneWidget);
// Find and tap the button
final fab = find.byKey(const ValueKey('increment'));
await tester.tap(fab);
// Trigger a frame to allow animations/state to settle
await tester.pumpAndSettle();
// Verify updated state
expect(find.text('1'), findsOneWidget);
});
});
}Installationen
Sicherheitsprüfung
Quellcode ansehen
flutter/skills
Mehr aus dieser Quelle
Power your AI Agents with
the best open-source models.
Drop-in OpenAI-compatible API. No data leaves Europe.
Explore Inference APIGLM
GLM 5
$1.00 / $3.20
per M tokens
Kimi
Kimi K2.5
$0.60 / $2.80
per M tokens
MiniMax
MiniMax M2.5
$0.30 / $1.20
per M tokens
Qwen
Qwen3.5 122B
$0.40 / $3.00
per M tokens
So verwenden Sie diesen Skill
Install flutter-testing-apps by running npx skills add flutter/skills --skill flutter-testing-apps in your project directory. Führen Sie den obigen Installationsbefehl in Ihrem Projektverzeichnis aus. Die Skill-Datei wird von GitHub heruntergeladen und in Ihrem Projekt platziert.
Keine Konfiguration erforderlich. Ihr KI-Agent (Claude Code, Cursor, Windsurf usw.) erkennt installierte Skills automatisch und nutzt sie als Kontext bei der Code-Generierung.
Der Skill verbessert das Verständnis Ihres Agenten für flutter-testing-apps, und hilft ihm, etablierte Muster zu befolgen, häufige Fehler zu vermeiden und produktionsreifen Code zu erzeugen.
Was Sie erhalten
Skills sind Klartext-Anweisungsdateien — kein ausführbarer Code. Sie kodieren Expertenwissen über Frameworks, Sprachen oder Tools, das Ihr KI-Agent liest, um seine Ausgabe zu verbessern. Das bedeutet null Laufzeit-Overhead, keine Abhängigkeitskonflikte und volle Transparenz: Sie können jede Anweisung vor der Installation lesen und prüfen.
Kompatibilität
Dieser Skill funktioniert mit jedem KI-Coding-Agenten, der das skills.sh-Format unterstützt, einschließlich Claude Code (Anthropic), Cursor, Windsurf, Cline, Aider und anderen Tools, die projektbezogene Kontextdateien lesen. Skills sind auf Transportebene framework-agnostisch — der Inhalt bestimmt, für welche Sprache oder welches Framework er gilt.
Chat with 100+ AI Models in one App.
Use Claude, ChatGPT, Gemini alongside with EU-Hosted Models like Deepseek, GLM-5, Kimi K2.5 and many more.