Skip to content

Latest commit

 

History

History
37 lines (20 loc) · 2.79 KB

README.md

File metadata and controls

37 lines (20 loc) · 2.79 KB

A daemon (macOS or Linux) for running my home brew jukebox project, written in Swift using Flynn, PortAudio, BlueSocket and FadeCandy.

This jukebox works by passing through audio from any player (in this case, an Echo Dot) to the speakers attached to the audio output of the SoC. The code then monitors this audio streams and animates the connected RGB lighting in response to the music.

Hardware

Nvidia Jetson Nano
Amazon Echo Dot
FadeCandy USB Driver
RGB LED Light Strips

Software

This graph represents the major parts, each part executes concurrently to all other parts:

Jukebox uses Flynn, which is an Actor-Model framework for fast, easy and safe concurrency in Swift. An Actor is Swift class which executes concurrently to everything else. There are three actors:

  1. Audio - uses port audio to passthrough audio input to audio output. Calculates audio statistics which are used by the other actors
  2. State - tells the Lights actor when to change visuals (such as when one song ends and another begins), dimming the lights at night, and turning the lights off completely when inactive
  3. Lights - utilizes a simple particle system to allow modular light visualizations, communicates with the FadeCandey server to provide light animations

If you are unfamiliar with Flynn, this level of concurrency may seem unnecessarily complicated. However Flynn makes concurrency safe and easy. For example:

The switchVisuals() method is called by the State actor when it wants the Lights actor to use different visuals for the RGB lighting. The beSetVisual() call is a behavior (denoted by it starting with "be"). All behaviors execute asynchronously. In the lights actor, the behavior call looks like this:

From the State actor's perspective, beSetVisual() will execute asynchronously. From the Light actor's perspective, beSetVisual() will execute synchronously. You can only communicate with actor's using behaviors, which means it is impossible for well-written code to accidentally execute on the actor's data structures on two different threads, eliminating all possible race conditions.