miss-plete-js
v1.4.5
Published
This repository is forked from the original to quickly integrate with out styling.
Readme
MissPlete
This repository is forked from the original to quickly integrate with out styling.
MissPlete is a misspelling-tolerant autocomplete written in ECMAScript 2015, aka ECMAScript 6 (ES6).
It supports synonyms and it can be customized with any algorithm to select and sort the completions. By default it uses a Jaro–Winkler distance algorithm, which allows for better sloppy interaction than the usual completion based on exact substring matches.
Less than 220 lines of code. No dependencies.
Demo
http://xavi.github.io/miss-plete
Installation
npm install miss-plete-js --saveThe library is published to the npm registry transpiled to ES5 and UMD, so it can be used in ES5 (examples/es5/) and ES6 (examples/es6/).
Usage
import MissPlete from './MissPlete.js';
import './miss-plete-example.css';
new MissPlete({
input: document.querySelector('input[name="city"]'),
// Each subarray contains an option and all its synonyms
options: [["Barcelona", "BCN"], ["San Francisco", "SF"]],
// The class name for the dropdown. Ex. 'miss-plete'
className: 'miss-plete',
// OPTIONAL
// It must return an object with at least the properties `score` and
// `displayValue`.
// Default is a Jaro–Winkler similarity function.
scoreFn: (inputValue, optionSynonyms) => {
// Crazy random example
const score = Math.random();
return { score: score, displayValue: `${optionSynonyms[0]} (${score})` };
},
// OPTIONAL
// Called for each scored option, in order, starting with the one with the
// greatest score. It's passed the scored option (as returned by scoreFn)
// and its index in the score-sorted list. It must return the <li> node
// to display, or null if nothing else has to be displayed.
// Default returns <li> nodes for the 8 best-scored options.
listItemFn: (scoredOption, itemIndex) => {
const li = scoredOption.score < 0.5 ? null : document.createElement("li");
li && li.appendChild(document.createTextNode(scoredOption.displayValue));
return li;
}
});License
Copyright © 2015 Xavi Caballé
Licensed under the MIT License.
