Awesome

Swifty Adafruit Servo HAT with PCA9685 and I2C

A Swift based Servo driver for the PCA9685 PWM controller over I2C, using SwiftyGPIO.

Getting Started

A simple example looks like this:

// It doesn't really matter what Raspberry Pi Board you use.
let servo = Servo(.RaspberryPi3)
        
// This sets the frequency for all channels
// Range: 24 - 1526 Hz
servo.frequency = 1440 // Hz
        
// 90 degrees
servo.angle(15, angle: 90)

Develop on Mac with Xcode, cross compile with Docker, run on the Raspberry Pi

Tools like VirtualBox are for creating virtual machines. Docker is used to create containers. As explained in the InfoWorld article Containers 101: Linux container and Docker explained. '[containers are] something that feels like a virtual machine, but sheds all the weight and startup overhead of a guest operating system.'

The other thing I like about them is that they are great for running headless. You can fire them up from the command line. Then you can either set them to continue running, or do a job, then exit. You can even interact with them at the command line level.

To compile code all it needs to do is to start, compile our code and then exit.

Mac: We will pull the docker image for cross compiling from Dockerhub Raspberry Pi: Install Samba and give access to yourself and your Mac Raspberry Pi: Use git to clone a local copy of this project Mac: Open the shared Raspberry Pi folder, open example app with Xcode, modify main.swift as needed Mac: Run the docker container to build the example Raspberry Pi: Test it on the Pi to make sure it works

Step 1: Prepare Raspberry Pi for Xcode development

1: Get the latest updates $ sudo apt-get update

2: Install git, and Samba $ sudo apt-get install git samba samba-common-bin

3: Configure Samba $ sudo nano /etc/samba/smb.conf Find the line that says read only and set it equal to no.

4: Create a Samba password for remote access as user pi. $ sudo smbpasswd -a pi

5: Stop and restart the Samba server $ sudo /etc/init.d/samba stop $ sudo /etc/init.d/samba restart

Copy the file to your Pi In Finder wait a bit and you should see your Pi show up under Shared in the left hand column. Connect as user pi using the samba password that you just created.

Shared Volume

One of the neat tricks about Docker is you can start (run) an image with a path parameter using the run -v flag. You can tell it to map a folder on your hard-drive to a folder within the container. Press CMD-Key and Opt-key and dray Pi smb shared forlder to your desktop. Here is a sample docker run command that will map the the shortcut to pi folder /Volumes/pi/SwiftyServo on your Mac to a folder called /home/swift inside the docker image.

#!/bin/sh docker run -it -v /Volumes/pi/SwiftyServo:/home/swift helje5/rpi-swift-dev bash

If you place a swift project in /Volumes/pi/SwiftyServo on your Mac, you can compile it within an Ubuntu image using this command:

swift build

Step 2: Install Docker

Go to https://docs.docker.com/engine/installation/ and install Docker.

Step 3: Pull the Docker image

docker pull helje5/rpi-swift-dev

Step 4: Clone This Project on your Raspberry Pi

Clone the project into / on your Pi which maps into /Volumes/pi/SwiftyServo on your Mac Desktop with Samba (after you create a shortcut using Cmd+Opt dragging pi to your desktop)

Step 5: BUILD THE DEMO

#!/bin/sh Mac: docker run -it -v /Volumes/pi/SwiftyServo:/home/swift helje5/rpi-swift-dev bash

STEP 6: RUN THE EXECUTABLE ON YOUR PI

When docker command in step 5 is run, it opens to shell screen in your terminal and you are viewing the shell command of the builtin linux

A new executable should now exist:

Docker Terminal: ~$ ls 2327-14.jpg CONTRIBUTING.md Examples LICENSE Package.swift README.md Sources Docker Terminal: ~$ swift make Docker Terminal: ~$ cd Examples Docker Terminal: ~$ ls Package.resolved Package.swift README.md Sources Tests Docker Terminal: ~$ swift make Docker Terminal: ~$ ./example

Built With

SwiftyGPIO
Adafruit-PCA9685 - Inspiration/Basis of Implementation.
PCA9685 - Inspiration/Basis of Implementation.
Xcode+Docker - Develope on Mac with Xcode+Docker, test on RaspberryPi.
Cross Compilation - Inspirational.

Contributing

Please read CONTRIBUTING.md for details on our code of conduct, and the process for submitting pull requests to us.

Authors

Adam Thayer - Initial work on PCA9685
ezRover - Integration work and Xcode development

See also the list of contributors who participated in this project.

License

This project is licensed under the MIT License - see the LICENSE file for details