resl

resl (RESource Loader) is a tiny streaming asset loader intended for use with WebGL applications.

Example

// Here we call resl and tell it to start preloading resources
require('resl')({
  // A call to resl takes a JSON object as configuration.
 
  // The configuration object must contain a manifest field which specifies
  // a list of all resources to load and their types.
  manifest: {
    // Each entry in the manifest represents an asset to be loaded
    'scores': {
      type: 'text',           // the type declares the type of the asset
      src: 'data/scores.csv'  // and src declares the URL of the asset
    },
 
    // You can also specify HTML elements as assets
    'an_image': {
      type: 'image',
      src: 'images/some-image.png'
    },
 
    // Assets can also be streamed as well
    'some_video': {
      type: 'video',
      stream: true,   // setting the streaming flag specifies that
                      // the done() callback will fire as soon as the
                      // asset has started loading
      src: 'videos/some-video.mp4'
    },
 
    // You can also specify custom parsers for your assets
    'json_data': {
      type: 'text',
      src: 'mydata.json',
      parser: JSON.parse  // Here we call JSON.parse as soon as the asset has
                          // finished loading
    }
  },
 
  // Once the assets are done loading, then we can use them within our
  // application
  onDone: (assets) => {
    console.log(assets.scores)
 
    document.body.appendChild(assets.some_video)
    document.body.appendChild(assets.an_image)
 
    console.log(assets.json_data)
  },
 
  // As assets are preloaded the progress callback gets fired
  onProgress: (progress, message) => {
    document.body.innerHTML =
      '<b>' + (progress * 100) + '% loaded</b>: ' + message
  },
 
  onError: (err) => {
    console.error(err)
  }
})

Install

The easiest way to install resl is to use npm:

npm install resl

API

require('resl')(config)

resl takes a single configuration object as input. At minimum this object must specify a callback which is executed once asset loading is finished and a manifest of assets which must be loaded. The config object accepts the following properties:

Config parameter	Interpretation
manifest	(Required) An object listing each resource to be loaded. For more details see below
onDone(assets)	(Required) A callback which is executed once all assets have loaded. This is passed a dictionary of all assets.
onProgress(progress, message)	A callback which is executed each time more assets are loaded. Gets passed two arguments: progress so far as a fraction of the total bundle and a message related to the most recent progress event.
onError(error)	A callback which is executed if any errors are encountered during preloading. Gets passed the last error which occurred.

Manifest Entries

Each entry in the manifest is an object specifying the location (URL) of an asset, its type and some optional data related to parsing the asset. User defined parsers can be added to assets to help streamline loading resources.

Manifest parameter	Interpretation	Default
src	(Required) The URL of the asset	N/A
type	The type of the asset.	'text'
parser	An optional parser (see below)	null
stream	If set to true, then the resource is streamed.	false
credentials	If set to true, then pass credentials to cross origin requests	false

Resource types

The following resource types are currently supported by resl:

Resource type	Interpretation
'text'	A UTF string loaded via XHR
'binary'	Binary array buffer loaded via XHR
'image'	An HTML image element
'video'	An HTML video element
'audio'	An HTML audio element

Parser interface

A manifest entry may take an optional parser object as input which transforms the base asset into some other data type. There are two ways to specify a parser in resl:

1. As a function parser(data) which takes as input the data and returns the encoded object.
2. As an object which implements the following interface:

Callback	Effect
onData(data)	(Required) A callback which is fired each time new data is available in the stream
onDone()	A callback which is fired once the stream is finished loading

License

(c) 2016 Mikola Lysenko. MIT License