A Dart package for parsing text flexibly according to preset or custom regular expression patterns.
Usage
Using the preset matchers (URL / email address / phone number)
The package has the following preset matchers.
Below is an example of using three of the preset matchers except for UrlLikeMatcher
.
import 'package:text_parser/text_parser.dart';
Future<void> main() async {
const text = 'abc https://example.com/sample.jpg. def\n'
'john.doe@example.com +1-012-3456-7890';
final parser = TextParser(
matchers: const [
EmailMatcher(),
UrlMatcher(),
TelMatcher(),
],
);
final elements = await parser.parse(text);
elements.forEach(print);
}
Output:
TextElement(matcherType: TextMatcher, matcherIndex null, offset: 0, text: abc , groups: [])
TextElement(matcherType: UrlMatcher, matcherIndex 1, offset: 4, text: https://example.com/sample.jpg, groups: [])
TextElement(matcherType: TextMatcher, matcherIndex null, offset: 34, text: . def\n, groups: [])
TextElement(matcherType: EmailMatcher, matcherIndex 0, offset: 40, text: john.doe@example.com, groups: [])
TextElement(matcherType: TextMatcher, matcherIndex null, offset: 60, text: , groups: [])
TextElement(matcherType: TelMatcher, matcherIndex 2, offset: 61, text: +1-012-3456-7890, groups: [])
The regular expression pattern of each of them is not very strict. If it does not meet your use case, overwrite the pattern by yourself to make it stricter, referring to the relevant section later in this document.
UrlMatcher vs UrlLikeMatcher
UrlMatcher does not match URLs not starting with "http" (e.g. example.com
, //example.com
,
etc). If you want them to be matched too, use UrlLikeMatcher instead.
matcherType and matcherIndex
matcherType
contained in a TextElement object is the type of the matcher used
to parse the text into the element. matcherIndex
is the index of the matcher in
the matcher list passed to the matchers
argument of TextParser.
Extracting only matching text elements
By default, the result of parse() contains all elements including the ones that
have TextMatcher as matcherType
, which are elements of a string that
did not match any match pattern. If you want to exclude them, set onlyMatches
to true
when calling parse()
.
final elements = await parser.parse(text, onlyMatches: true);
elements.forEach(print);
Output:
TextElement(matcherType: UrlMatcher, matcherIndex 1, offset: 4, text: https://example.com/sample.jpg, groups: [])
TextElement(matcherType: EmailMatcher, matcherIndex 0, offset: 40, text: foo@example.com, groups: [])
TextElement(matcherType: TelMatcher, matcherIndex 2, offset: 56, text: +1-012-3456-7890, groups: [])
Extracting text elements of a particular matcher type
final telElements = elements.whereMatcherType<TelMatcher>().toList();
Or use a classic way:
final telElements = elements.map((elm) => elm.matcherType == TelMatcher).toList();
Conflict between matchers
If multiple matchers have matched the string at the same position in text, the first one in those matchers takes precedence.
final parser = TextParser(matchers: const[UrlLikeMatcher(), EmailMatcher()]);
final elements = await parser.parse('foo.bar@example.com');
In this example, UrlLikeMatcher
matches foo.bar
and EmailMatcher
matches
foo.bar@example.com
, but UrlLikeMatcher
is used because it is written before
EmailMatcher
in the matchers list.
Overwriting the pattern of an existing matcher
If you want to parse only URLs and phone numbers, but treat only a sequence of eleven numbers after "tel:" as a phone number:
final parser = TextParser(
matchers: const [
UrlMatcher(),
TelMatcher(r'(?<=tel:)\d{11}'),
],
);
Using a custom pattern
You can create a matcher with a custom pattern either with PatternMatcher or by extending TextMatcher.
PatternMatcher
const boldMatcher = PatternMatcher(r'\*\*(.+?)\*\*');
final parser = TextParser(matchers: [boldMatcher]);
Custom matcher class
It is also possible to create a matcher class by extending TextMatcher.
Below is an example of a matcher that parses the HTML <a>
tags into a set of the href
value and the link text.
class ATagMatcher extends TextMatcher {
const ATagMatcher()
: super(
r'\<a\s(?:.+?\s)*?href="(.+?)".*?\>'
r'\s*(.+?)\s*'
r'\</a\>',
);
}
const text = '''
<a class="foo" href="https://example.com/">
Content inside tags
</a>
''';
final parser = TextParser(
matchers: const [ATagMatcher()],
dotAll: true,
);
final elements = await parser.parse(text, onlyMatches: true);
print(elements.first.groups);
Output:
[https://example.com/, Content inside tags]
ExactMatcher
ExactMatcher
escapes reserved characters of RegExp so that those are used
as ordinary characters. The parser extracts the substrings that exactly match
any of the strings in the passed list.
TextParser(
matchers: [
// 'e.g.' matches only 'e.g.', not 'edge' nor 'eggs'.
ExactMatcher(['e.g.', 'i.e.']),
],
)
Groups
Each TextElement in a parse result has the property of
groups. It is a list of strings that have matched the smaller pattern
inside every set of parentheses ( )
.
Below is an example of a pattern that matches a Markdown style link.
r'\[(.+?)\]\((.*?)\)'
This pattern has two sets of parentheses; (.+?)
in \[(.+?)\]
and (/*?)
in \((.*?)\)
.
When this matches [foo](bar)
, the first set of parentheses captures "foo" and the second
set captures "bar", so groups
results in ['foo', 'bar']
.
Tip:
If you want certain parentheses to be not captured as a group, add ?:
after the opening
parenthesis, like (?:pattern)
instead of (pattern)
.
Named groups
Named groups are captured too, but their names are lost in the resulting groups
list.
Below is an example where a single match pattern contains capturing of both unnamed and
named groups.
final parser = TextParser(
matchers: const [PatternMatcher(r'(?<year>\d{4})-(\d{2})-(?<day>\d{2})')],
);
final elements = await parser.parse('2020-01-23');
print(elements.first);
Output:
TextElement(matcherType: PatternMatcher, matcherIndex 0, offset: 0, text: 2020-01-23, groups: [2020, 01, 23])
RegExp options
How a regular expression is treated can be configured in the TextParser
constructor.
- multiLine
- caseSensitive
- unicode
- dotAll
These options are passed to RegExp internally, so refer to its document for information.
Limitations
- This package uses regular expressions. The speed of parsing is subject to the
performance of
RegExp
in Dart. It will take more time to parse longer text with multiple complex match patterns. - On the web, parsing is always executed in the main thread because Flutter Web does not support dart:isolate.