casparcg-connection

Introduction

CasparCG Server is an open source graphics- and video server for broadcast and streaming productions. This library lets you connect and interact with CasparCG Servers from Node.js in Javascript. This library is also a part of the Sofie TV News Studio Automation System.

Features

• CasparCG AMCP 2.3 protocol implemented
• CasparCG AMCP 2.1 protocol largely implemented
• Parsing of command parameters and response
• Queueing of commands
• Promise-based commands for easy chaining and sequences

Project

• Node.js
• npm package
• TypeScript, strongly typed
• ES2020 target
• Linted with standard ESLint rules
• API Docs
• MIT license

Getting started

Installing with NPM

npm install casparcg-connection --save

This installs the full project with sourcecode and dependencies, typescript project files and the compiled .js output with typings.

In your code, include and use the CasparCG object from this library with a code similar to:

const { CasparCG } = require('casparcg-connection')

const connection = new CasparCG()
const { error, request } = connection.play({ channel: 1, layer: 1, clip: 'amb' })
if (error) {
	console.log('Error when sending', error)
} else {
	const response = await request
	console.log(response)
}

Note: as of 6.0.0 the library has had a major rewrite with significant API changes and support for CasparCG 2.0 was dropped.

Build from source

Installing with yarn adds the dev-dependencies needed to compile TypeScript. A set of commands help you managing development and testing:

• yarn clean Empties the /dist directory.
• yarn build Runs a single build command without watching for changes.
• yarn build -w Rebuilds on every change.
• yarn lint Runs code linting. Pull Requests won't be accepted without lint compliance.
• yarn test Runs code tests through Jest.

Doing a release

Run yarn changelog to generate the changelog, tags and commit. Push these changes and the newly made tag.

Documentation

Visit https://superflytv.github.io/casparcg-connection/ for API documentation.

About

Created and published by SuperFly.tv

Acknowledgements:

• Many thanks to SVT for the CasparCG project
• Inspired by https://github.com/respectTheCode/node-caspar-cg