Canais de Plataforma Seguros quanto aos Tipos com Pigeon
Gere interfaces de mensagens entre o hospedeiro e o Flutter fortemente tipadas usando a ferramenta Pigeon.
Canais de Plataforma Seguros quanto aos Tipos com Pigeon é uma aula grátis de Flutter Mobile Development no CoddyKit. Esta é a aula 2 de 4. Você pode ler a aula completa abaixo gratuitamente — depois pratica ao vivo no navegador com um editor de código integrado e um tutor de IA 24/7. Faz parte do caminho de aprendizado de Flutter Mobile Development, e seu progresso é sincronizado entre a web e o app CoddyKit. O curso de Flutter Mobile Development inclui 4 aulas no total.
Partes desta aula ainda não foram traduzidas e aparecem em inglês.
What is Pigeon and Why Use It?
Platform channels in Flutter traditionally use string-based method names and untyped dynamic maps. A typo in a method name or a mismatched argument type only fails at runtime — often on a device you don't own.
Pigeon is a code-generation tool from the Flutter team that solves this problem. You define a Dart API file describing the messages and host APIs, and Pigeon generates:
- Type-safe Dart classes and abstract channel stubs
- Matching native code for Android (Kotlin/Java) and iOS (Swift/ObjC)
The result is a compile-time-checked contract between Flutter and the host platform — no raw strings, no untyped maps.
Adding Pigeon to Your Project
Pigeon is a dev-only dependency. Add it to pubspec.yaml under dev_dependencies:
You also need the Flutter standard method codec, which Pigeon uses internally — it is already part of the Flutter SDK, so no extra package is required.
After adding the dependency, run flutter pub get. Pigeon is invoked via dart run pigeon (not as a build_runner builder), which gives you full control over when code is regenerated.
# pubspec.yaml (relevant excerpt)
# dev_dependencies:
# pigeon: ^22.0.0
// Run generation (in terminal, not Dart code):
// dart run pigeon --input pigeons/messages.dartDefining a Pigeon API File
A Pigeon API file is plain Dart, decorated with special annotations. Place it in a pigeons/ folder at the project root — it is never compiled into your app; it is only read by the generator.
Key annotations:
@ConfigurePigeon— declares output paths for each platform@HostApi()— Flutter calls native (platform implements)@FlutterApi()— Native calls Flutter (Flutter implements)@EventChannelApi()— Streaming events from native to Flutter
All data classes are plain Dart classes with typed fields — no dynamic anywhere.
// pigeons/messages.dart
import 'package:pigeon/pigeon.dart';
@ConfigurePigeon(PigeonOptions(
dartOut: 'lib/src/messages.g.dart',
dartOptions: DartOptions(),
kotlinOut:
'android/app/src/main/kotlin/com/example/app/Messages.g.kt',
kotlinOptions: KotlinOptions(),
swiftOut: 'ios/Runner/Messages.g.swift',
swiftOptions: SwiftOptions(),
))
// Data class shared between Flutter and native
class BatteryInfo {
BatteryInfo({required this.level, required this.isCharging});
final int level;
final bool isCharging;
}
// Flutter calls native to read battery
@HostApi()
abstract class BatteryHostApi {
BatteryInfo getBatteryInfo();
@async
BatteryInfo getBatteryInfoAsync();
}
// Native calls Flutter to report a low-battery event
@FlutterApi()
abstract class BatteryFlutterApi {
void onLowBattery(BatteryInfo info);
}Running the Generator
Once the API file is ready, generate platform code with a single command:
dart run pigeon --input pigeons/messages.dartPigeon reads the @ConfigurePigeon options and writes three files:
- lib/src/messages.g.dart — Dart channel wrapper + data classes
- android/.../Messages.g.kt — Kotlin interface + registration helpers
- ios/Runner/Messages.g.swift — Swift protocol + setup call
These .g.dart / .g.kt / .g.swift files are committed to source control (unlike build_runner outputs that are sometimes gitignored) because they are stable, reviewable platform code.
Re-run the command whenever you change the API file. CI should fail if the generated files are out of sync with the source.
Implementing the Host API on Android (Kotlin)
After generation, Pigeon gives you a Kotlin interface that mirrors your @HostApi definition. Your MainActivity (or a plugin class) implements it and registers it on the binary messenger.
Key points:
- The generated interface is named exactly as your Dart abstract class
- Registration call is
BatteryHostApi.setUp(binding.binaryMessenger, impl) - Async methods receive a
Result<T>callback instead of returning directly
// android/app/src/main/kotlin/com/example/app/MainActivity.kt
import io.flutter.embedding.android.FlutterActivity
import io.flutter.embedding.engine.FlutterEngine
class MainActivity : FlutterActivity() {
override fun configureFlutterEngine(flutterEngine: FlutterEngine) {
super.configureFlutterEngine(flutterEngine)
BatteryHostApi.setUp(
flutterEngine.dartExecutor.binaryMessenger,
BatteryHostApiImpl()
)
}
}
class BatteryHostApiImpl : BatteryHostApi {
override fun getBatteryInfo(): BatteryInfo {
// Real impl would query BatteryManager
return BatteryInfo(level = 87L, isCharging = true)
}
override fun getBatteryInfoAsync(result: Result<BatteryInfo>) {
// Offload to coroutine in production
result.success(BatteryInfo(level = 87L, isCharging = true))
}
}Implementing the Host API on iOS (Swift)
On iOS, Pigeon generates a Swift protocol. Your AppDelegate (or a Flutter plugin) conforms to it and registers via the generated setup function.
Notice how the generated Swift API matches the Kotlin API structurally — Pigeon enforces this symmetry so both platforms honour the same contract.
// ios/Runner/AppDelegate.swift
import Flutter
import UIKit
@main
@objc class AppDelegate: FlutterAppDelegate {
override func application(
_ application: UIApplication,
didFinishLaunchingWithOptions options: [UIApplication.LaunchOptionsKey: Any]?
) -> Bool {
let controller = window?.rootViewController as! FlutterViewController
let messenger = controller.binaryMessenger
BatteryHostApiSetup.setUp(
binaryMessenger: messenger,
api: BatteryHostApiImpl()
)
return super.application(application,
didFinishLaunchingWithOptions: options)
}
}
class BatteryHostApiImpl: BatteryHostApi {
func getBatteryInfo() throws -> BatteryInfo {
// UIDevice.current.batteryLevel in production
return BatteryInfo(level: 87, isCharging: true)
}
func getBatteryInfoAsync(
completion: @escaping (Result<BatteryInfo, Error>) -> Void
) {
completion(.success(BatteryInfo(level: 87, isCharging: true)))
}
}Calling the Host API from Dart
On the Flutter side, the generated code gives you a concrete class — not an abstract one. You simply instantiate it and call methods as regular async Dart:
- No channel name strings to type
- No
invokeMethodcalls - No manual argument packing/unpacking
- Full type safety — the return type is
BatteryInfo, notdynamic
Errors thrown by the native side are surfaced as PlatformException — catch them normally.
// lib/battery_page.dart
import 'package:flutter/material.dart';
import 'src/messages.g.dart'; // generated
class BatteryPage extends StatefulWidget {
const BatteryPage({super.key});
@override
State<BatteryPage> createState() => _BatteryPageState();
}
class _BatteryPageState extends State<BatteryPage> {
final _api = BatteryHostApi(); // generated class
BatteryInfo? _info;
Future<void> _fetch() async {
try {
// Typed return — no casts needed
final info = await _api.getBatteryInfoAsync();
setState(() => _info = info);
} on PlatformException catch (e) {
debugPrint('Native error: ${e.message}');
}
}
@override
Widget build(BuildContext context) {
return Scaffold(
appBar: AppBar(title: const Text('Battery')),
body: Column(
children: [
Text('Level: ${_info?.level ?? '--'}%'),
Text('Charging: ${_info?.isCharging ?? '--'}'),
ElevatedButton(
onPressed: _fetch,
child: const Text('Refresh'),
),
],
),
);
}
}Implementing FlutterApi — Native Calls Flutter
@FlutterApi reverses the direction: native code calls into Flutter. Pigeon generates a concrete class on the native side that you instantiate and call, while Flutter provides an implementation of the generated abstract interface.
A common use case is push-notification delivery: the native SDK receives the notification and calls Flutter to update the UI without Flutter polling.
On the Dart side, register the Flutter implementation using the generated setUp method:
// lib/src/battery_flutter_api_impl.dart
import 'messages.g.dart';
class BatteryFlutterApiImpl extends BatteryFlutterApi {
// Called by native when battery drops below threshold
@override
void onLowBattery(BatteryInfo info) {
debugPrint(
'LOW BATTERY: ${info.level}% '
'(charging: ${info.isCharging})',
);
// Update state, show snackbar, etc.
}
}
// Register once — e.g. in main() or an initState
void registerFlutterApis() {
BatteryFlutterApi.setUp(BatteryFlutterApiImpl());
}Nullable Fields and Enum Support
Pigeon data classes support nullable fields and Dart enums natively. Enums are serialised as integers over the wire — Pigeon generates the mapping code on all sides so you never deal with raw integers in your business logic.
- Nullable fields become platform-native optionals (Swift
Optional, Kotlin?) - Enums become sealed Kotlin enum classes and Swift enum types
- Lists and Maps of typed values are supported (
List<String>,Map<String, int>)
// pigeons/messages.dart (additions)
enum ChargingStatus { unknown, charging, discharging, full }
class DetailedBatteryInfo {
DetailedBatteryInfo({
required this.level,
required this.status,
this.temperature, // nullable — not available on all devices
this.voltages,
});
final int level;
final ChargingStatus status;
final double? temperature;
final List<double>? voltages;
}
@HostApi()
abstract class DetailedBatteryHostApi {
@async
DetailedBatteryInfo getDetailedInfo();
}Error Handling with PigeonError
Pigeon propagates native errors to Dart as structured exceptions. On the native side you throw a FlutterError (iOS) or use result.error() (Android async). On the Dart side this surfaces as a PlatformException with typed fields.
For richer error contracts, Pigeon also supports a dedicated error class pattern: define a class annotated with nothing special — just return it as a Result error. This lets you send structured error payloads (code + details) instead of bare strings.
// pigeons/messages.dart
class BatteryError {
BatteryError({required this.code, this.details});
final String code; // e.g. 'PERMISSION_DENIED'
final String? details;
}
// Dart call-site
Future<void> safeFetch() async {
try {
final info = await BatteryHostApi().getBatteryInfoAsync();
print('Level: ${info.level}');
} on PlatformException catch (e) {
// e.code = native error code string
// e.message = human-readable message
// e.details = arbitrary details object
if (e.code == 'PERMISSION_DENIED') {
print('Need battery permission');
} else {
rethrow;
}
}
}Streaming with EventChannelApi
For continuous streams (sensor data, connectivity changes, etc.) Pigeon 14+ introduced @EventChannelApi(). It generates a typed Stream<T> on the Dart side backed by a real EventChannel — no manual codec work needed.
- Define the data type as a normal Pigeon data class
- Native implements
StreamHandler(Kotlin) /FlutterStreamHandler(Swift) - Dart consumes a plain
Stream— works withStreamBuilder,listen,async for
// pigeons/messages.dart
@EventChannelApi()
abstract class BatteryEventApi {
// The return type defines what flows down the stream
BatteryInfo onBatteryChanged();
}
// lib/battery_stream_page.dart
import 'src/messages.g.dart';
class BatteryStreamPage extends StatelessWidget {
const BatteryStreamPage({super.key});
@override
Widget build(BuildContext context) {
// BatteryEventApi().onBatteryChangedStream() returns Stream<BatteryInfo>
return StreamBuilder<BatteryInfo>(
stream: BatteryEventApi().onBatteryChangedStream(),
builder: (context, snapshot) {
if (!snapshot.hasData) return const CircularProgressIndicator();
final info = snapshot.data!;
return Text('${info.level}% – charging: ${info.isCharging}');
},
);
}
}Knowledge Check: Pigeon API Direction
Which Pigeon annotation should you use when you want native platform code to call into Flutter (for example, to push a real-time notification payload into a Dart callback)?
Recap: Type-Safe Platform Channels with Pigeon
In this lesson you learned how Pigeon eliminates the fragility of hand-written platform channels:
- API file — a plain Dart file in
pigeons/annotated with@HostApi,@FlutterApi, or@EventChannelApithat acts as the single source of truth - Code generation —
dart run pigeon --input pigeons/messages.dartproduces type-safe Dart, Kotlin, and Swift in one command - @HostApi — Flutter calls native; native implements the interface and registers it on the binary messenger
- @FlutterApi — Native calls Flutter; Flutter implements the abstract interface via
setUp() - @EventChannelApi — typed
Stream<T>from native to Flutter for continuous data - Rich types — nullable fields, enums, lists, and maps are all supported with platform-native mappings generated automatically
- Error handling — native errors surface as
PlatformExceptionwith structured code and details fields
Pigeon should be your default choice for any new platform channel — the compile-time safety it provides pays for itself the first time it catches a mismatch before you ship.
Perguntas Frequentes
A aula “Canais de Plataforma Seguros quanto aos Tipos com Pigeon” é grátis?
Sim — o texto completo de “Canais de Plataforma Seguros quanto aos Tipos com Pigeon” é grátis para ler aqui na web. Para praticá-la interativamente (um editor de código integrado e um tutor de IA 24/7) e desbloquear o restante do curso de Flutter Mobile Development, atualize para CoddyKit PRO. O curso de Flutter Mobile Development inclui 4 aulas no total.
O que vou aprender em “Canais de Plataforma Seguros quanto aos Tipos com Pigeon”?
Gere interfaces de mensagens entre o hospedeiro e o Flutter fortemente tipadas usando a ferramenta Pigeon. Você pratica Flutter Mobile Development com código prático que executa diretamente no navegador, e um tutor de IA 24/7 responde suas dúvidas enquanto trabalha na aula.
Preciso ter experiência prévia para começar Flutter Mobile Development?
Nenhuma experiência prévia é necessária. Flutter Mobile Development no CoddyKit é estruturado para alunos iniciantes até avançados, então você pode começar aqui ou desde o início e aprender no seu ritmo. Esta é a aula 2 de 4.
Quanto tempo leva a aula “Canais de Plataforma Seguros quanto aos Tipos com Pigeon”?
A maioria das aulas CoddyKit leva cerca de 5–10 minutos. Cada uma é compacta e interativa, então você faz progresso constante e retoma exatamente de onde parou entre web e app.
Posso escrever e executar código nesta aula de Flutter Mobile Development?
Sim. Cada aula de Flutter Mobile Development inclui um editor de código integrado, então você escreve e executa código real direto no navegador e recebe feedback de IA instantaneamente — nenhuma configuração local necessária.
Todas as aulas deste curso
- Chamada de Bibliotecas C com dart:ffi
- Canais de Plataforma Seguros quanto aos Tipos com Pigeon
- Escrita de Plugins de Plataforma Personalizados para iOS e Android
- Isolados em Segundo Plano e Gerenciamento de Memória Nativa