sarma
v0.0.3-alpha
Published
A lightweight parser to parse chat message tokens written in pure Typescript
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How To Use?
Just pass in a text from a user input, and it will parse a token array for you :)
import { SarmaParser, SarmaParserOptions } from "sarma";
const text = "Hey there @CoconutOrange, me and @Diaval will be **checking** a movie #movie-night! Will you be joining? :eyes:";
const options: SarmaParserOptions = {
text,
parseEmphasis: true,
};
const parser = new SarmaParser(options);
const tokens = parser.parse();
Which returns an array like:
tokens = [
TextToken({
"rawText": "Hey there ",
"location": [0, 9]
}),
MentionToken({
"rawText": "@CoconutOrange",
"location": [10, 23]
}),
TextToken({
"rawText": ", me and ",
"location": [24, 32]
}),
MentionToken({
"rawText": "@Diaval",
"location": [33, 39]
}),
TextToken({
"rawText":" will be ",
"location":[40, 48]
}),
BoldTextToken({
"rawText":"**checking**",
"location":[49, 60]
}),
TextToken({
"rawText":" a movie ",
"location":[61, 69]
}),
TagToken({
"rawText":"#movie-night",
"location":[70, 81]
}),
TextToken({
"rawText":"! Will you be joining? ",
"location":[82, 104]
}),
EmoteToken({
"rawText":":eyes:",
"location":[105, 110]
})
]
Available Options
Sarma comes with a few handy options to alter parsing result:
| Option Name | Type | Default Value | Description | | ---------------- | :----------------------------: | ------------- | ---------------------------------------------------------------------: | | text | string - required | | Text to be parsed into tokens | | parseInto | "words" or "chunks" - optional | "chunks" | Should it parse into words, or merge into bigger chunks where possible | | parseWhitespaces | boolean - optional | false | Should it parse whitespaces as tokens or not | | parseEmphasis | boolean - optional | false | Should it parse emphasis tokens such as bold (**) or italic (*) |