LT - Learnosity Toolkit

This is a utility library of helper modules and extensions that may be useful if you're developing with Learnosity APIs.

Modules and extensions are separated between Assessment (when using Items API) and Authoring (when using Author API).

See documentation here.

Important

This package is unofficial and wasn't created by Learnosity.

No modules contained within:

• ever have access to the consumer private key
• track any usage or personal information

Everything is open source under the MIT license. Feel free to use as you see fit.

Installation

npm install @caspingus/lt

Usage

You can import core or index into your project, from either the src or dist directories.

core vs index

Recommendation - use core in all production settings.

The core module contains the LT toolkit only, no extensions. This is the smallest file size (around 3.5k gzipped) and may be all you need.

If you want 1 or 2 extensions, you can import them manually to keep the overall file size down.

import { LT } from '@caspingus/lt/src/assessment/core';
import * as columnResizer from '@caspingus/lt/src/assessment/extensions/accessibility/ux/columnResizer';

The index module contains everything in core along with all extensions. This is the largest file size (~400k) This is useful in development if you want to browse the extensions, but also if you happen to use all the extensions in your project.

import { LT } from '@caspingus/lt/src/assessment/index';

^^ Importing index puts all extensions in LT.extensions.

src vs dist

Recommendation - use src and have your local build process bundle LT along with your application.

As this library will be imported into existing projects, it's recommended to use the src folder and include LT as a part of your build process.

In which case, import from the src folder and you're good to go. Another option is to import from dist which has been prod bundled by Webpack, but then you need to exclude this from your build process.

Initialize

Everything is written using ES6 modules. By default we use LT as a variable for the toolkit. If you want to change this, use named imports.

LT expects to be given the application instance in the readyListener, either Items API or Author API. From there you can call any method you want off the LT object.

Items API

// Declare and set your variable with the Items API LearnosityItems.init() method
const itemsApp = LearnosityItems.init(signedConfigObject);


// Pass that app instance to the Toolkit constructor
import { LT } from '@caspingus/lt/src/assessment/core';
import * as renderPDF from '@caspingus/lt/src/assessment/extensions/ui/renderPDF/index';

LT.init(itemsApp);

// Optionally call any extensions you might want
renderPDF.run();

// Put individual extensions in the LT object if that makes your life easier
LT.extensions = {
    renderPDF,
};
LT.extensions.renderPDF.run();


// Optionally add to the global scope (handy for development)
window.LT = LT;

Usage examples

import { LT } from '@caspingus/lt/src/assessment/core';

// See if the item was _fully_ attempted
LT.isItemFullyAttempted();

// See if we're on the last item in a section
LT.isLastItemInSection();

// See the question response object
LT.questionResponse();

Author API

// Declare and set your variable with the Author API LearnosityItems.init() method
const authorApp = LearnosityAuthor.init(signedConfigObject);


// Pass that app instance to the Toolkit constructor
import { LT } from '@caspingus/lt/src/authoring/core';
LT.init(authorApp);


// Optionally add to the global scope (for development)
window.LT = LT;

Usage examples

import { LT } from '@caspingus/lt/src/authoring/core';

// Injects a route hash to the URI so SPAs can load to a deep view from a full page refresh.
LT.routingHash();