qq wechat emotion parser

QQ WechaT EmotioN ParseR

Well, this is a very simple little tool that converts QQ emoticons and WeChat emoticon strings added to web pages into emoticon pictures.

• fast! This is currently the fastest JS library for emoticon string conversion, implemented using a prefix tree (Trie). For a limited-length emoticon library, the algorithm complexity reaches O(n).
• convenient! No dependencies, just import min.js to use. Also supports Node.js environment.

Demo

example 1

enter:

 /::)

Output:

 < img src =" https://res.wx.qq.com/mpres/htmledition/images/icon/emotion/0.gif " alt =" /::) " >

Effect:

example 2

enter:

I xx Gunzi, /::), No no no, I just xx xx/::B.

Output:

I xx Gunzi, < img src =" https://res.wx.qq.com/mpres/htmledition/images/icon/emotion/0.gif " alt =" /::) " > , No no no, I just xx xx < img src =" https://res.wx.qq.com/mpres/htmledition/images/icon/emotion/2.gif " alt =" /::B " > .

Effect:

I xx Gunzi, , No no no, I just xx xx.

Usage

This tool exposes a qqWechatEmotionParser() method. The input of this method is a string that needs to be processed, and the output is a string that converts character expressions into img tags.

browser environment

1. Download and introduce https://github.com/buddys/qq-wechat-emotion-parser/blob/master/dist/qq-wechat-emotion-parser.min.js.

    < script src =" /path/to/qq-wechat-emotion-parser.min.js " > </ script >

2. Call window.qqWechatEmotionParser :

    var text = 'I xx Gunzi /::), No no no, I just xx xx/:<L>.' ;
   var html = qqWechatEmotionParser ( text ) ;
   
   document . write ( text ) ;
   document . write ( '<br/>' )
   document . write ( html ) ;

Node environment

1. Install:

   npm install qq-wechat-emotion-parser

2. use:

    var qqWechatEmotionParser = require ( 'qq-wechat-emotion-parser' ) ;
   
   var text = 'I xx Gunzi /::), No no no, I just xx xx/:<L>.' ;
   var html = qqWechatEmotionParser ( text ) ;
   
   console . log ( html ) ; 

Contribution

Contribute code

You are welcome to submit issues or contribute code through Github. Before contributing code, you need to read the original code carefully and try to keep the code style consistent.

Add new tag

Emoticons are saved under the src/emotion.json file. Define the character representation and image source of the emoticon by editing the json file. There are two points to note:

• The character representation of emoticons should try to avoid ambiguity
• Image hosting should use a server that is stable and has fast domestic access speeds

License

GPL V3.0

hartle, meriky @ Buddys Copyright (c) 2016