Chunk Text
chunk/split a string by length without cutting/truncating words.
const out = chunk('hello world how are you?', 7);
Installation
$ npm install chunk-text
Usage
All number values are parsed according to Number.parseInt
.
const chunk = require('chunk-text');
chunk(text, chunkSize);
Chunks the text
string into an array of strings that each have a maximum length of chunkSize
.
const out = chunk('hello world how are you?', 7);
If no space is detected before chunkSize
is reached, then it will truncate the word to always
ensure the resulting text chunks have at maximum a length of chunkSize
.
const out = chunk('hello world', 4);
chunk(text, chunkSize, chunkOptions);
Chunks the text
string into an array of strings that each have a maximum length of chunkSize
, as determined by chunkOptions.charLengthMask
.
The default behavior if chunkOptions.charLengthMask
is excluded is equal to chunkOptions.charLengthMask=-1
.
For single-byte characters, chunkOptions.charLengthMask
never changes the results.
For multi-byte characters, chunkOptions.charLengthMask
allows awareness of multi-byte glyphs according to the following table:
chunkOptions.charLengthMask | result |
---|
-1 | - same as default, same as chunkOptions.charLengthMask=1 - each character counts as 1 towards length |
0 | - each character counts as the number of bytes it contains |
>0 | - each character counts as the number of bytes it contains, up to a limit of chunkOptions.charLengthMask=N - a 7-byte ZWJ emoji such as runningPerson+ZWJ+femaleSymbol (🏃🏽♀️) counts as 2, when chunkOptions.charLengthMask=2 |
You can also substitute from the default chunkOptions.charLengthType
property of length
to TextEncoder
.
This enables you to pass any object to chunkOptions.textEncoder
which matches the signature, chunkOptions.textEncoder.encode(text).length
If your environment natively contains the TextEncoder
prototype and chunkOptions.textEncoder
isn't provided,
the module attempts new TextEncoder()
in order to use this chunkOptions.charLengthType
.
If
chunkOptions.charLengthType
is set to TextEncoder
.chunkOptions.textEncoder
isn't provided.TextEncoder
prototype isn't provided by the environment.
Then
ReferenceError
will occur.
End If
const runner = '🏃🏽♀️';
const outDefault = chunk(runner+runner+runner, 4);
const outZero = chunk(runner+runner+runner, 4, { charLengthMask: 0 });
const outTwo = chunk(runner+runner+runner, 4, { charLengthMask: 2 });
const flags = '🏳️🌈🏳️🌈';
chunk(flags, 8, { charLengthMask: 0, charLengthType: 'TextEncoder' });
chunk(flags, 4, {
charLengthMask: 0,
charLengthType: 'TextEncoder',
textEncoder: new TextEncoder(),
})
chunk(flags, 999, {
charLengthMask: 0,
charLengthType: 'TextEncoder',
textEncoder: {
encode: () => ({ length: 999 }),
},
})
Usage in Algolia context
This library was created by Algolia to ease
the optimizing of record payload sizes resulting in faster search responses from the API.
In general, there is always a unique large "content attribute" per record,
and this packages will allow to chunk that content into small chunks of text.
The text chunks can then be distributed over multiple records.
Here is an example of how to split an existing record into several ones:
var chunk = require('chunk-text');
var record = {
post_id: 100,
content: 'A large chunk of text here'
};
var chunks = chunk(record.content, 600);
var records = [];
chunks.forEach(function(content) {
records.push(Object.assign({}, record, {content: content}));
});