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@trainline/react-skeletor

v1.0.2

Published

Make your application look nice when its loading!

Downloads

2,101

Readme

npm license Travis npm

React Skeletor

React-skeletor gif

Display a skeleton preview of the application's content before the data get loaded.

  • Inject dummy data into the provider
  • Define your loading status with the provider
  • Wrap leaf component with createSkeletorElement and define the style of the component when it is pending. The component will do all the magic for you, it will turn on / off the pending design for you.

Demo

Documentation

Basic usage

  1. Install via npm
npm install @trainline/react-skeletor
  1. Wrap the component (often a container) with the createSkeletonProvider high order component. This adds the loading status and style into the context and inject fake data in the components subtree.
// UserDetailPage.jsx

import { createSkeletonProvider } from '@trainline/react-skeletor';

const UserDetailPage = ({ user }) => (
  <div>
    ...
    <NameCard user={user} />
    ...
  </div>
)

export default createSkeletonProvider(
  // Dummy data with a similar shape to the component's data
  {
    user: {
      firstName: '_____',
      lastName: '________'
    }
  },
  // Predicate that returns true if component is in a loading state
  ({ user }) => user === undefined,
  // Define the placeholder styling for the children elements,
  () => ({
    color: 'grey',
    backgroundColor: 'grey'
  })
)(UserDetailPage);
  1. Use a skeleton element to toggle between the placehoder design and the real content depending on the loading status in the context.
// NameCard.jsx

import { createSkeletonElement } from '@trainline/react-skeletor';

const H1 = createSkeletonElement('h1');
const H2 = createSkeletonElement('h2');

const NameCard = ({ firstName, lastName }) => (
  <div>
    <H1 style={style}>{ firstName }</H1>
    <H2 style={style}>{ lastName }</H2>
  </div>
)

export default NameCard;

Contribute

Before opening any Pull Request please post an issue explaining the problem so that the team can evaluate if the Pull Request is relevant.

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