Orientação gerada a partir de informações públicas. Apenas para referência.
Um pacote puro em Dart projetado para implementar estratégias eficazes de limitação de taxa para funções regulares. Ele ajuda a evitar sobrecarga de sistemas controlando a frequência de execução de funções, sendo ideal para gerenciar chamadas de API, consultas de pesquisa e outras operações de alta frequência. Desenvolvido com simplicidade e desempenho em mente, suporta diversos algoritmos de limitação de taxa e se integra perfeitamente em múltiplas plataformas. O pacote é particularmente útil em cenários que exigem controle de amortecimento ou burst sem dependências externas.
Casos de uso
Limitação de solicitações da API
Limitando a frequência de entrada de pesquisa
Prevenção de spam em entradas de usuário
Gerenciando cargas de trabalho irregulares
Controlando a execução de tarefas em segundo plano
Principais recursos
Suporta várias estratégias de limitação de taxa
Implementação pura em Dart
Compatibilidade multiplataforma
Função simples envolvendo
Limites e intervalos configuráveis
Sem dependências externas
Indicado para
Desenvolvedores criando APIs com restrições de uso
Aplicativos que precisam de amortecimento de entrada
Sistemas que exigem proteção contra carga
Aplicações em tempo real com alto volume de chamadas
Equipes usando Flutter em múltiplas plataformas
Considerações
Requer integração manual com funções assíncronas
Limitado ao limite de taxa por função
Nenhuma persistência interna para estado
Mais adequado para casos de uso leves e síncronos
Pode ser necessário tratamento adicional para padrões complexos de concorrência
README original
Snapshot do README original do repositório-fonte vinculado. Consulte o repositório para o conteúdo mais recente.
Rate limiting is a strategy for limiting an action. It puts a cap on how often someone can repeat an action within a certain timeframe. Using rate_limiter we made it easier than ever to apply these strategies on regular dart functions.
Add the following to your pubspec.yaml and replace [version] with the latest version:
dependencies:rate_limiter:^[version]
Strategies
Debounce
A debounced function will ignore all calls to it until the calls have stopped for a specified time period. Only then it will call the original function. For instance, if we specify the time as two seconds, and the debounced function is called 10 times with an interval of one second between each call, the function will not call the original function until two seconds after the last (tenth) call.
Usage
It's fairly simple to create debounced function with rate_limiter
Creating from scratch
final debouncedFunction = debounce((String value) {
print('Got value : $value');
return value;
}, constDuration(seconds: 2));
Converting an existing function into debounced function
StringregularFunction(String value) {
print('Got value : $value');
return value;
}
final debouncedFunction = regularFunction.debounced(
constDuration(seconds: 2),
);
Example
Often times, search boxes offer dropdowns that provide autocomplete options for the user’s current input. Sometimes the items suggested are fetched from the backend via API (for instance, on Google Maps). The autocomplete API gets called whenever the search query changes. Without debounce, an API call would be made for every letter you type, even if you’re typing very fast. Debouncing by one second will ensure that the autocomplete function does nothing until one second after the user is done typing.
To throttle a function means to ensure that the function is called at most once in a specified time period (for instance, once every 10 seconds). This means throttling will prevent a function from running if it has run “recently”. Throttling also ensures a function is run regularly at a fixed rate.
Usage
Creating throttled function is similar to debounce function
Creating from scratch
final throttledFunction = throttle((String value) {
print('Got value : $value');
return value;
}, constDuration(seconds: 2));
Converting an existing function into throttled function
StringregularFunction(String value) {
print('Got value : $value');
return value;
}
final throttledFunction = regularFunction.throttled(
constDuration(seconds: 2),
);
Example
In action games, the user often performs a key action by pushing a button (example: shooting, punching). But, as any gamer knows, users often press the buttons much more than is necessary, probably due to the excitement and intensity of the action. So the user might hit “Punch” 10 times in 5 seconds, but the game character can only throw one punch in one second. In such a situation, it makes sense to throttle the action. In this case, throttling the “Punch” action to one second would ignore the second button press each second.
final throttledPerformPunch = throttle(
() {
print('Performed one punch to the opponent');
},
constDuration(seconds: 1),
);
RaisedButton(
onPressed: (){
throttledPerformPunch();
}
child: Text('Punch')
);
BackOff
BackOff is a strategy that allows you to retry a function call multiple times with a delay between each call. It is useful when you want to retry a function call multiple times in case of failure.
Usage
Creating backoff function is similar to debounce and throttle function.
Creating from scratch
final response = backOff(
// Make a GET request
() => http.get('https://google.com').timeout(Duration(seconds: 5)),
maxAttempts: 5,
maxDelay: Duration(seconds: 5),
// Retry on SocketException or TimeoutException
retryIf: (e, _) => e isSocketException || e isTimeoutException,
);
Converting an existing function into backoff function
Future<String> regularFunction() async {
// Make a GET requestfinal response = await http.get('https://google.com').timeout(Duration(seconds: 5));
return response.body;
}
final response = regularFunction.backOff(
maxAttempts: 5,
maxDelay: Duration(seconds: 5),
// Retry on SocketException or TimeoutException
retryIf: (e, _) => e isSocketException || e isTimeoutException,
);
Example
While making a network request, it is possible that the request fails due to network issues. In such cases, it is useful to retry the request multiple times with a delay between each call. This is where backoff strategy comes in handy.
final response = backOff(
// Make a GET request
() => http.get('https://google.com').timeout(Duration(seconds: 5)),
maxAttempts: 5,
maxDelay: Duration(seconds: 5),
// Retry on SocketException or TimeoutException
retryIf: (e, _) => e isSocketException || e isTimeoutException,
);
Pending
Used to check if the there are functions still remaining to get invoked.
final pending = debouncedFunction.isPending;
final pending = throttledFunction.isPending;
Flush
Used to immediately invoke all the remaining delayed functions.
final result = debouncedFunction.flush();
final result = throttledFunction.flush();
Cancellation
Used to cancel all the remaining delayed functions.