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@yaireo/tagify

Convert an input field into a Tags element. Easy, customizable, with good performance and small code footprint.

  • 2.7.7
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Tagify - lightweight input "tags" script

Transforms an input field or a textarea into a Tags component, in an easy, customizable way, with great performance and tiny code footprint.

Documentation & Demos

Table of contents

Installation

npm i @yaireo/tagify --save

// usage:
import Tagify from '@yaireo/tagify'

var tagify = new Tagify(...)

Selling points

  • JS minified ~16kb (~4kb GZIP)
  • SCSS file is ~6kb of well-crafted flexible code
  • Easily change direction to RTL via the SCSS file only
  • No other inputs are used beside the original, and its value is kept in sync
  • Easily customized
  • Exposed custom events (add, remove, invalid)
  • For Internet Explorer 11 include the script tagify.polyfills.js under /dist

What can Tagify do

  • Can be applied on input & textarea elements
  • Supports mix content (text and tags together)
  • Supports whitelist
  • Supports blacklists
  • Shows suggestions selectbox (flexiable settings & styling)
  • Auto-complete input as-you-type (whitelist first match)
  • Can paste in multiple values: tag 1, tag 2, tag 3
  • Tags can be created by Regex delimiter or by pressing the "Enter" key / focusing of the input
  • Validate tags by Regex pattern
  • Supports read-only mode to the whole componenet or per-tag
  • Each tag can have any properties desired (class, data-whatever, readonly...)
  • Automatically disallow duplicate tags (vis "settings" object)
  • Tags can be trimmed via hellip by giving max-width to the tag element in your CSS

Building the project

Simply run gulp in your terminal, from the project's path (Gulp should be installed first).

Source files are this path: /src/

Output files, which are automatically generated using Gulp, are in: /dist/

The rest of the files are most likely irrelevant.

Adding tags dynamically

var tagify = new Tagify(...);

tagify.addTags(["banana", "orange", "apple"])

// or add tags with pre-defined propeties

tagify.addTags([{value:"banana", color:"yellow"}, {value:"apple", color:"red"}, {value:"watermelon", color:"green"}])

output value

There are two possible ways to get the value of the tags:

  1. Access the tagify's instance's value prop: tagify.value (Array of tags)
  2. Access the original input's value: inputElm.value (Stringified Array of tags)

Ajax whitelist

It's possible to load a dynamic suggestions list (whitelist) from the server, as the user types.

Below is just an rough example using the fetch API. I advise in real-life scenario to abort the last request on any input

var input = document.querySelector('input'),
    tagify = new Tagify(input, {whitelist:[]}),
    controller; // for aborting the call 

// listen to any keystrokes which modify tagify's input
tagify.on('input', onInput)

function onInput( e ){
  var value = e.detail;
  tagify.settings.whitelist.length = 0; // reset the whitelist

  // https://developer.mozilla.org/en-US/docs/Web/API/AbortController/abort
  controller && controller.abort();
  controller = new AbortController(); 

  fetch('http://get_suggestions.com?value=' + value, {signal:controller.signal})
    .then(RES => RES.json())
    .then(function(whitelist){
      tagify.settings.whitelist = whitelist;
      tagify.dropdown.show.call(tagify, value); // render the suggestions dropdown
    })
}

Suggestions selectbox

The suggestions selectbox is shown is a whitelist Array of Strings or Objects was passed in the settings when the Tagify instance was created. Suggestions list will only be rendered if there were at least two sugegstions found. Matching suggested values is case-insensetive. The selectbox dropdown will be appended to the document's "body" element and will be positioned under the element. Using the keyboard arrows up/down will highlight an option from the list, and hitting the Enter key to select.

It is possible to tweak the selectbox dropdown via 2 settings:

  • enabled - this is a numeral value which tells Tagify when to show the suggestions dropdown, when a minimum of N characters were typed.
  • maxItems - Limits the number of items the suggestions selectbox will render
var input = document.querySelector('input'),
    tagify = new Tagify(input, {
        whitelist : ['aaa', 'aaab', 'aaabb', 'aaabc', 'aaabd', 'aaabe', 'aaac', 'aaacc'],
        dropdown : {
            classname : "color-blue",
            enabled   : 3,
            maxItems  : 5
        }
    });

Will render:

<div class="tagify__dropdown" style="left: 993.5px; top: 106.375px; width: 616px;">
    <div class="tagify__dropdown__item" value="aaab">aaab</div>
    <div class="tagify__dropdown__item" value="aaabb">aaabb</div>
    <div class="tagify__dropdown__item" value="aaabc">aaabc</div>
    <div class="tagify__dropdown__item" value="aaabd">aaabd</div>
    <div class="tagify__dropdown__item" value="aaabe">aaabe</div>
</div>

React

react.tagify.js

React component using the Tagify's Wrapper <Tags>:

import { Tags } from '@yaireo/tagify/dist/react.tagify'

// setup some basic Tagify settings object
var tagifySettings = {
    blacklist : ["fuck", "shit"]
}

// Demo "App" component that is using the Tagify React component (<Tags/>)
class App extends React.Component {
    constructor(props) {
        super(props);

        tagifySettings.callbacks = {
            add     : this.onTagifyAdd,
            remove  : this.onTagifyRemove,
            input   : this.onTagifyInput,
            invalid : this.onTagifyInvalid
        }
    }

    componentDidMount(){}

    // callbacks for all of Tagify's events: 
    onTagifyAdd = e => {
        console.log('added:', e.detail);
    }

    onTagifyRemove = e => {
        console.log('remove:', e.detail);
    }

    onTagifyInput = e => {
        console.log('input:', e.detail);
    }

    onTagifyInvalid = e => {
        console.log('invalid:', e.detail);
    }

    // Render <Textarea> element and applies Tagify on it
    render(){
        return (
            <Tags mode='textarea'
                  autofocus={true} 
                  className='myInput' 
                  name='tags' 
                  settings={tagifySettings} 
                  initialValue='foo, bar, baz' />
        )
    }
}

ReactDOM.render(<App />, document.getElementById('app'))

Live React Demo in Codepen

Angular

TagifyComponent which will be used by your template as <tagify>

Example:

<div>
  testing tagify wrapper
  <tagify [settings]="settings"
          (add)="onAdd($event)"
          (remove)="onRemove($event)">
  </tagify>
  <button (click)="clearTags()">clear</button>
  <button (click)="addTags()">add Tags</button>
</div>

TagifyService

(The tagifyService is a singletone injected by angular, do not create a new instance of it)

import {Component, OnDestroy} from '@angular/core';
import {TagifyService} from 'ngTagify';

@Component({
  selector: 'app-root',
  templateUrl: './app.component.html',
  styleUrls: ['./app.component.css']
})
export class AppComponent implements OnDestroy {

  constructor(private tagifyService: TagifyService) {}
  public settings = { blacklist: ['fucking', 'shit']};

  onAdd(tagify) {
    console.log('added a tag', tagify);
  }

  onRemove(tags) {
    console.log('removed a tag', tags);
  }
  clearTags() {
    this.tagifyService.removeAll();
  }
  addTags() {
    this.tagifyService.addTags(['this', 'is', 'cool']);
  }
  ngOnDestroy() {
    this.tagifyService.destroy();
  }
}

jQuery version

jQuery.tagify.js

A jQuery wrapper verison is also available, but I advise not using it because it's basically the exact same as the "normal" script (non-jqueryfied) and all the jQuery's wrapper does is allowing to chain the event listeners for ('add', 'remove', 'invalid')

$('[name=tags]')
    .tagify()
    .on('add', function(e, tagName){
        console.log('added', tagName)
    });

Methods

NameInfo
destroyReverts the input element back as it was before Tagify was applied
removeAllTagsRemoves all tags and resets the original input tag's value property
addTagsAccepts a String (word, single or multiple with a delimiter), an Array of Objects (see above) or Strings
removeTagRemoves a specific tag (argument is the tag DOM element to be removed. see source code.)
loadOriginalValuesConverts the input's value into tags. This method gets called automatically when instansiating Tagify
getTagIndexByValue
getTagElmByValue

Events

NameInfo
addA tag has been added
removeA tag has been removed
invalidA tag has been added but did not pass vaildation. See event detail
inputOn Input event

Settings

NameTypeDefaultInfo
delimitersString","[regex] split tags by any of these delimiters. Example: ",
patternStringnullValidate input by REGEX pattern (can also be applied on the input itself as an attribute) Ex: /[1-9]/
modeStringnulluse 'mix' as value to allow mixed-content. The 'pattern' setting must be set to some character.
duplicatesBooleanfalse(flag) Should duplicate tags be allowed or not
enforceWhitelistBooleanfalseShould ONLY use tags allowed in whitelist
autocompleteBooleantrueTries to autocomplete the input's value while typing (match from whitelist)
whitelistArray[]An array of tags which only they are allowed
blacklistArray[]An array of tags which aren't allowed
addTagOnBlurBooleantrueAutomatically adds the text which was inputed as a tag when blur event happens
callbacksObject{}Exposed callbacks object to be triggered on events: 'add' / 'remove' tags
maxTagsNumberInfinityMaximum number of tags
transformTagFunctionundefinedTakes a tag input as argument and returns a transformed value
tagTemplateFunctionundefinedTakes a tag's value and data as arguments and returns an HTML string for a tag element
keepInvalidTagsBooleanfalseIf true, do not remove tags which did not pass validation
dropdown.enabledNumber2Minimum characters to input to show the suggestions list. "false" to disable
dropdown.maxItemsNumber10Maximum items to show in the suggestions list dropdown
dropdown.classnameString""Custom class name for the dropdown suggestions selectbox
dropdown.itemTemplateFunction""Returns a custom string for each list item in the dropdown suggestions selectbox

FAQs

Package last updated on 24 Nov 2018

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