react-lite-textbox v1.2.1
Textbox component for Talk by Teambition
Demo http://ui.talk.ai/react-lite-textbox/
Features:
- realtime caret pixel position detection with Canvas API
 - special characters(i.e. 
@,:) pixel position detection with Canvas API - complete text based on special characters such as 
@ 
Caveats:
- Canvas API is not very accurate dealing with line breaks
 - Need to specify paddings as props in order to compute position
 - May cause CPU time find positions very frequently
 
Usage
npm i --save react-lite-textboxTextbox
  text: @state.text, onChange: @onChange, specials: ['@', ':']
  placeholder: 'Write here...'
  selectionStart: @state.start
  selectionEnd: @state.end
  onKeyDown: @onKeyDown
  paddingTop: 10
  paddingBottom: 10
  paddingLeft: 10
  paddingRight: 10
  lineHeight: 28Read src/main.coffee for details.
API to detect caret position in pixels
In order to detect precise pixel position of caret, this project utilized measureText API to do manual layout based on Canvas APIs. The results is an object of pixels.
measure = require 'react-lite-textbox/lib/measure'
measure.textPosition(text, cursor, style, limitWidth)
# => {top: 40, bottom: 50, left: 10, right: 10}textnot only the text before the caret, also about one line of text more to help with layouts.cursorthe position where the caret is, an integer.styleproperty is consisted of{fontSize: 14, lineHeight: 20, fontFamily: 'Optima'}which Canvas may need in measuring.limitWidthwidth of container, an integer.
Notice the manual layout algorithm has two flaws dealing with punctuations in CJK languages and words that overflows the container. In simple cases the result can be as precise as Element.getBoundingClientRect which gets position with a selection object.
Send me PR if you got ideas to improve the results.
Develop
https://github.com/teambition/coffee-webpack-starter
License
MIT
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