flutter_text_sniffer 5.0.2
flutter_text_sniffer: ^5.0.2 copied to clipboard
A widget that detects specific patterns within a text and makes them interactive.
TextSniffer #
TextSniffer is a powerful Flutter widget designed to detect and interact with specific text patterns. It allows developers to define custom patterns using regular expressions, apply unique styles to detected text, and handle user interactions such as taps on links or specific words.
Table of Contents #
- Features
- Installation
- Usage
- Custom Builder
- Defining Custom sniffers
- Handling Taps & matchEntries
- Large Texts (books, articles)
- Contributing
- License
Features #
- Customizable Patterns: Use regular expressions to define text patterns.
- Interactive Text: Make text segments interactive, responding to user taps.
- Styling Options: Apply styles to both matching and non-matching text.
- Custom Match Builders: Define how detected patterns appear.
- Multiple Search Sniffers: Supports for emails and links by default but you can create own Sniffers.
- Individual Styling: Style different types of matches individually.
Installation #
To use TextSniffer, add the following to your pubspec.yaml:
dependencies:
flutter_text_sniffer: ^latest_version
Then, run flutter pub get to install the package.
Usage #
Basic Example #
Here’s a simple example of how to use the TextSniffer widget:
TextSniffer(
text: "Contact us at support@example.com or visit https://example.com/product?name=iPhone",
snifferTypes: [
// They are built in sniffers
EmailSnifferType(),
LinkSnifferType(),
],
onTapMatch: (match, matchText, type, index, error) {
if (error == null) {
print('Tapped on: $matchText');
}
},
)
Custom Builder #
To customize how matched text is displayed, use the matchBuilder property:
final images = <String>[
"assets/flutter.png",
"assets/google.png",
];
class CustomSnifferType extends SnifferType {
@override
RegExp get pattern => RegExp(r'\[(.*?)\]');
@override
TextStyle? get style => const TextStyle(color: Colors.indigoAccent, fontWeight: FontWeight.bold);
@override
String toString() => 'custom';
}
TextSniffer<String>(
text: "Check out [Flutter] and [Google]!",
matchEntries: const ['https://flutter.dev', 'https://google.com'],
snifferTypes: [
CustomSnifferType(),
],
onTapMatch: (entry, match, type, index, error) {
if (error == null) {
showSnackBar(context, entry ?? "Not found");
}
},
matchBuilder: (match, index, type, entry) {
return Container(
padding: const EdgeInsets.only(left: 4.0, right: 4.0),
child: Row(
mainAxisSize: MainAxisSize.min,
children: [
Image.asset(
images[index],
width: 20,
height: 20,
),
Text(
match,
style: type.style,
),
],
),
);
},
)
Defining Custom Patterns #
You can define custom patterns using regular expressions. For example, to detect IP addresses, hashtag and custom:
// Custom sniffer. For example: [Example] => word in brackets => Example
class CustomSnifferType extends SnifferType {
@override
RegExp get pattern => RegExp(r'\[(.*?)\]');
@override
TextStyle? get style => const TextStyle(color: Colors.indigoAccent, fontWeight: FontWeight.bold);
@override
String toString() => 'custom';
}
// IP address sniffer
class IpAddressSnifferType extends SnifferType {
@override
RegExp get pattern => RegExp(r'\b' // Start of word (word borders)
r'(?:25[0-5]|2[0-4][0-9]|[01]?[0-9][0-9]?)' // 1 octet
r'\.' // Dot
r'(?:25[0-5]|2[0-4][0-9]|[01]?[0-9][0-9]?)' // 2 octet
r'\.' // Dot
r'(?:25[0-5]|2[0-4][0-9]|[01]?[0-9][0-9]?)' // 3 octet
r'\.' // Dot
r'(?:25[0-5]|2[0-4][0-9]|[01]?[0-9][0-9]?)' // 4 octet
r'\b' // End of word
);
@override
TextStyle? get style => const TextStyle(color: Colors.orange, fontStyle: FontStyle.italic);
@override
String toString() => 'ip_address';
}
// Hashtag sniffer
class HashtagSnifferType extends SnifferType {
@override
RegExp get pattern => RegExp(r'\B#\w\w+');
@override
TextStyle? get style => const TextStyle(color: Colors.purple, fontWeight: FontWeight.bold);
@override
String toString() => 'hashtag';
}
TextSniffer(
text: "Check out [Flutter] and [Google]!\nCheck out #Flutter and #Google! IP addresses: 192.168.0.1, 192.168.0.124",
snifferTypes: [
CustomSnifferType(),
HashtagSnifferType(),
IpAddressSnifferType(),
],
matchEntries: const [
'https://flutter.dev',
'https://google.com',
],
onTapMatch: (entry, matchText, type, index, error) {
if (error == null) {
print('Tapped on: $matchText');
}
},
)
Handling Taps & matchEntries #
onTapMatch is called whenever a matched segment is tapped:
onTapMatch: (entry, matchText, type, index, error) { ... }
matchText,typeandindexare always provided —indexis the zero-based position across all matches in the text (not per type), so usetypeto tell match kinds apart.entryis the item frommatchEntriesfor this match, ornullif you did not supply one.matchEntriesis fully optional and per-match: provide it only when you need extra data (e.g. a URL behind a[label]). Mixing types where only some need entries is fine — taps on the others simply getentry: null.erroris reserved for future error reporting and is currently alwaysnull.
// Optional: attach data to specific matches.
TextSniffer<String>(
text: "Visit [Flutter] or [Google]",
snifferTypes: [CustomSnifferType()],
matchEntries: const ['https://flutter.dev', 'https://google.com'],
onTapMatch: (url, matchText, type, index, error) {
// url == 'https://google.com' when "[Google]" is tapped
},
)
Large Texts (books, articles) #
TextSniffer renders a single RichText, and RichText lays out its entire
span tree eagerly. So do not put a whole book into one TextSniffer — split
the text into chunks (e.g. paragraphs) and render them lazily with
ListView.builder. Each chunk gets its own TextSniffer, so layout and pattern
matching only run for what is on screen:
ListView.builder(
itemCount: paragraphs.length,
itemBuilder: (context, index) => TextSniffer(
text: paragraphs[index],
snifferTypes: [EmailSnifferType(), LinkSnifferType()],
onTapMatch: (entry, matchText, type, i, error) { /* ... */ },
),
)
Within each TextSniffer, parsing (running the regex) happens only when text
or snifferTypes change — not on every rebuild — so scrolling stays smooth.
See example/lib/long_text_example.dart for a runnable demo.
Contributing #
We welcome contributions! To contribute to TextSniffer, please follow these steps:
- Fork the repository.
- Create a new branch (
git checkout -b feature/AmazingFeature). - Commit your changes (
git commit -m 'Add some AmazingFeature'). - Push to the branch (
git push origin feature/AmazingFeature). - Open a Pull Request.
License #
This project is licensed under the MIT License. See the LICENSE file for more details.
