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Capa de flutter_social_textfield
Detalhes do pacotev0.1.2

flutter_social_textfield

TextEditingController e construtor RichText / TextSpan com detecção de hashtags, URLs e menções usando expressões regulares. Também com suporte a toque.

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Instalar pacote

flutter pub add flutter_social_textfield

Visão geral do pacote

Orientação gerada a partir de informações públicas. Apenas para referência.

Um pacote Flutter que aprimora a entrada de texto com recursos do estilo redes sociais, incluindo detecção automática e formatação de hashtags, URLs e menções usando expressões regulares. Integra-se com TextEditingController e suporta interações por toque para esses elementos por meio de RichText e TextSpan. Ideal para aplicativos de bate-papo, plataformas sociais ou qualquer aplicativo que exija edição de texto rico com conteúdo interativo. Funciona em todas as principais plataformas: Android, iOS, Web, macOS, Windows e Linux.

Casos de uso

  • comentários de aplicativo de mídia social
  • Aplicativos de bate-papo com links clicáveis
  • Marcação de usuários em mensagens
  • Entrada de texto rico com estilização dinâmica
  • Ferramentas de criação de conteúdo com destaque de metadados

Principais recursos

  • Detecção e formatação de hashtags
  • Linkagem automática de URL e menções
  • trechos de texto clicáveis
  • Integração com RichText
  • análise baseada em expressões regulares
  • Compatibilidade multiplataforma

Indicado para

  • Desenvolvedores de aplicativos sociais
  • Equipes que precisam de entrada de texto rico
  • Aplicativos com conteúdo gerado pelo usuário
  • Interfaces de mensagens interativas
  • Editores de texto personalizáveis

Considerações

  • Requer ajuste cuidadoso de expressões regulares para casos extremos
  • Pode ser necessário otimização de desempenho para textos longos
  • Limitado a formatação básica sem estilos avançados
  • Nenhum seletor de emojis embutido
  • Depende da lógica externa de expressão regular para precisão

README original

Snapshot do README original do repositório-fonte vinculado. Consulte o repositório para o conteúdo mais recente.

flutter_social_textfield

Overview

A Flutter plugin that helps detection of common social media contents. The current position of the cursor is used for detecting content. Current detection types are:

  • HashTag (#): Texts start with #
  • Mention (@): Text start with @ sign
  • Web Links: Can detect web links
  • Emojis: can detect emojis [thanks @moazh]

You can see the supported detection types from DetectedType enum

enum DetectedType{
    mention, //By Default texts starting with @sign
    hashtag,  //By default, texts starting with #hashtag
    url, //By default texts starting with http://xxx.yyy or https://aaa.bbb 
    plain_text //Any other type falls into this.
}

You can change the relevant regex for that type if you want, which has been mentioned in Configuring the Text Editing Controller part.

Getting Started

SocialTextField is basically an improved Text Editing Controller, so you can just assign text controller to any text editing widget that you want.

_textEditingController = SocialTextEditingController();

TextField(
    controller: _textEditingController,
    expands: true,
    maxLines: null,
    minLines: null,
    decoration: InputDecoration(
    hintText: "Please Enter a Text"
    ),
)

Configuring the Text Editing Controller

SocialTextEditingController can be configured by calling configuration methods.

There are 2 setter methods for this.

  • setTextStyle: Change how detected content shown.

    setTextStyle(DetectedType.mention, TextStyle(...)

  • setRegexp: Override the detection regexp

    setRegexp(DetectedType.url, RegExp("your_own_regex_fr_this_type"))

It is recommended to set these values on initialization;

_textEditingController = SocialTextEditingController()
    ..setTextStyle(DetectedType.mention, TextStyle(color: Colors.purple,backgroundColor: Colors.purple.withAlpha(50)))
    ..setRegexp(DetectedType.url, RegExp("your_own_regex_fr_this_type"));

Listening Content Detection Events

One of the main reasons that i want to create this plugin was that i needed to listen detection events from different widgets. So flutter_social_textfield provides a stream for detections so you can subscribe and listen events when needed.

StreamSubscription<SocialContentDetection> _streamSubscription;

@override
void initState() {
super.initState();
_textEditingController = SocialTextEditingController()
..text = "Lorem ipsum amet."
..setTextStyle(DetectedType.mention, TextStyle(color: Colors.purple,backgroundColor: Colors.purple.withAlpha(50)))
..setTextStyle(DetectedType.url, TextStyle(color: Colors.blue, decoration: TextDecoration.underline))
..setTextStyle(DetectedType.hashtag, TextStyle(color: Colors.blue, fontWeight: FontWeight.w600));

//Subscribe to events
 _streamSubscription = _textEditingController.subscribeToDetection(onDetectContent);
}

void onDetectContent(SocialContentDetection detection){
 print("Detected Contet: $detection");
}

don't forget to unsubscribe on dispose.

@override
void dispose() {
    _streamSubscription.cancel();
    super.dispose();
}

The Stream Subscriptoin returns SocialContentDetection class:

class SocialContentDetection{
    final DetectedType type; //mention, url, hashtag, plan_text
    final TextRange range; //range of detected content
    final String text; //detected content
    SocialContentDetection(this.type, this.range, this.text);
    
    @override
    String toString() {
        return 'SocialContentDetection{type: $type, range: $range, text: $text}';
    }
}

DefaultSocialTextFieldController

I've implemented an experimental widget for ease of use. DefaultSocialTextFieldController puts the main content inside a Stack and allows users to show relevant content when curser comes over a detected content

As with version 0.0.9 There are 2 different types of presentation of detection content:

Detection Presentation Mode

DetectionPresentationMode.split_screen : Shows detection view but moving from bottom to determined widget size. useful for full screen textfields like text editors

DetectionPresentationMode.above_text_field : Useful for showing detection view from above the textfield. The location of textfield is detected from the FocusNode automatically.

Please notice the 'scrollPhysics' property of the TextField;

DefaultSocialTextFieldController(
        detectionPresentationMode: DetectionPresentationMode.above_text_field,
        focusNode: _focusNode,
        scrollController: _scrollController,
        textEditingController: _textEditingController,
        child: Container(
          padding: EdgeInsets.all(8),
          child: Column(
            mainAxisAlignment: MainAxisAlignment.start,
            children: <Widget>[
              Expanded(
                child: TextField(
                  scrollPhysics: ClampingScrollPhysics(), //Use this for unnecessary scroll bounces
                  scrollController: _scrollController,
                  focusNode: _focusNode,
                  controller: _textEditingController,
                  expands: true,
                  maxLines: null,
                  minLines: null,
                  decoration: InputDecoration(
                      hintText: "Please Enter a Text"
                  ),
                ),
              ),
            ],
          ),
        ),
        detectionBuilders: {
          DetectedType.mention:(context)=>mentionContent(height),
          DetectedType.hashtag:(context)=>hashtagContent(height),
          DetectedType.url:(context)=>urlContent(height)
        },
      )

DefaultSocialTextFieldController in action

Using DefaultSocialTextFieldController

An example usage of the DefaultSocialTextFieldController can be seen in the example project. The main goal is to provide an easy way to implement features that have been seen in most of the social media applications.

SocialTextSpanBuilder

flutter_social_textfield uses SocialTextSpanBuilder for rendering the text inside the attached textfield. So if you just want to show formatted text content instead of using inside an editor you can use it like this:

With version 0.0.3 you can also implement onTapDetection function for adding tap gestures to detected strings.

void initBuilder(){
    final Map<DetectedType, RegExp> _regularExpressions = {
        DetectedType.mention:atSignRegExp,
        DetectedType.hashtag:hashTagRegExp,
        DetectedType.url:urlRegex
    };

    final Map<DetectedType, TextStyle> _detectionTextStyles = {
        DetectedType.mention:TextStyle(...)
    };

    final TextStyle _defaultTextStyle = TextStyle();

    final _textSpanBuilder = SocialTextSpanBuilder(regularExpressions: _regularExpressions,defaultTextStyle:_defaultTextStyle,detectionTextStyles: _detectionTextStyles, onTapDetection: (detection){print("Tapped on detection: $detection");});
}

//And you can return RichText content bu calling build(context) method afterwards.
@override
    Widget build(BuildContext context) {
        var height = MediaQuery.of(context).size.height * 0.4;
        return Scaffold(
            appBar: AppBar(
                title: Text(widget.title),
            ),
        body: Container(
           child:RichText(
              text:_textSpanBuilder.build(context)
            )
        )// This trailing comma makes auto-formatting nicer for build methods.
    );  
}   

Acknowledgements

Thanks https://github.com/Bhupesh-V (@Bhupesh-V) for his contribution to url regex 👌

This widget's default regular expressions taken from this wonderful widget:

detectable_text_field

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