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SwiftIO is an digital circuit board that runs Swift on the naked steel. It may well management sensors, shows, lights, motors and extra.
Swift
The SwiftIO board
MadMachine‘s SwiftIO board is an Arduino-like system, however it might run Swift code natively on the {hardware}. Swift is a superb programming language for training functions, it’s a fashionable language with a JavaScript-like syntax that’s straightforward to be taught and perceive. Swift is protected and environment friendly, this mix makes it an ideal candidate for embedded methods. The SwiftIO board allows us common Swift / iOS builders to construct IoT initiatives utilizing our favourite programming language.
The board itself has a small footprint, it is nearly 1,57″ x 2,36″ (4cm x 6cm) large.
It is fairly a robust microcontroller. It’s undoubtedly essentially the most inexpensive Swift language studying gadget. It may be ultimate for STEM training functions for college students who need to see the way to construct digital circuits and get some fundamental Swift programming expertise on the identical time.
The Maker Equipment field accommodates each a 7 section and an LCD show, a servo and a DC motor with drivers, a humiture (tempearture & humidity) sensor, a buzzer module a potentiometer and a light-weight sensor and plenty of extra different issues (breadboard, resistors, LEDs, buttons and cables, and many others.) that you should use to construct the starter initiatives. You should have just about all the things within the field that you simply want as a newcomer to get began and have some enjoyable time utilizing SwiftIO. 📦
Sadly you will not discover a working GPS, Wifi or bluetooth module for the SwiftIO board but, however hopefully these type of equipment are just some months away. There’s a new protect and a model new display screen module within the works. Oh by the best way a sheild is someting that you may plug into your board and join exterior equipment utilizing “particular” colourful cables. 🌈
Shields are boards that may be plugged on high of the Arduino PCB extending its capabilities. The completely different shields observe the identical philosophy as the unique toolkit: they’re straightforward to mount, and low cost to provide. – ArduinoShields
The board initially went on sale in July, 2020 and many individuals introduced it from all around the globe. New plug-ins, extensions and modules are nonetheless being developed by the makers, however you will need to emphasize that the SwiftIO board {hardware} is in a steady state. 💪
Technical specs:
- i.MX RT1052 Crossover Processor with Arm® Cortex®-M7 core @600MHz
- Micro SD card slot, supporting customary and excessive capability SD playing cards
- Micro USB connector for energy
- On-board USB to UART for serial communication
- 46 GPIO on left and proper edges
- On-board GRB LED
- 12x 12-bit analog to digital (ADC) converters
- 4 UART, 2 CAN, 2 IIC, and a couple of SPI
- 14 PWM pins
- Many extra superior options to fulfill the wants of superior customers
Ports, communication, structure
You possibly can join the SwiftIO board to your laptop by way of a USB connector, the 2 units can talk by a serial port. The USB cable will present the mandatory energy help, however alternatively you should use an adapter or an exterior battery by a protect.
You possibly can wire up extra parts utilizing the Normal Function Enter/Output pins (GPIO). You possibly can see the precise specification on the image above, however actually I barely perceive this diagram.
Confession time: I do not know shit about electronics (but). 💩
The board can be utilized with a protect and luckily the MakersKit arrives with a useful instruction handbook for absolute newbies. I felt fortunate, as a result of I used to be capable of strategy this little gadget with my programmer mindset and I may focus extra on Swift as an alternative of constructing working circuits.
So what’s truly below the hood? How can I construct & run purposes for SwiftIO?
The grey space is the {hardware} itself, on high of that within the pink-ish/purple bins there’s this Zephyr layer which I’ve by no means heard earlier than. I am simply scratching the floor right here, however that is nice, since as a Swift developer we solely care in regards to the orange stuff. Lengthy story quick, there’s a customized constructed Swift toolchain for this gadget that enables us to construct and run Swift purposes on the board. 😅
If there’s a toolchain, then we are able to run Swift binaries, however how will we talk with the ports and stuff like that? Happily the SwiftIO framework is right here for us. It offers an quick access to speak with exterior {hardware} equipment. You possibly can learn or write digital and analog alerts utilizing the communication protocol. Are you prepared for some Swift code?
The SwiftIO surroundings
Though the {hardware} is steady, the software program is just not completed but. There are two choices accessible, however if you’re on a Home windows machine, it’s best to seize the official MadMachine IDE and use that. The reason being that the Swift Bundle Supervisor is just not prepared for that platform but, so you will not be capable of work with the instruments that I am going to present you subsequent. Sorry Home windows, no offense. 😅
So choice A, is to go together with the IDE, it is very easy to make use of and offers an ideal DX. Possibility B, be taught a bit extra in regards to the underlying toolkit and observe my information, it is a bit extra sophisticated, however you may know extra in regards to the technical infrastructure in case you select this path. 🤔
Putting in the MadMachine SDK & CLI
As a macOS or Linux person it’s best to know that you may set up the unofficial MadMachine SDK alongside a command line software known as mm. As you may see this MadMachine SDK is written in Swift, however it’s best to know that I ported a python script from the unique mm-sdk mission with the assistance of Marcus Kida. First, he made an Xcode template by invoking the unique script contained in the official MadMachine IDE, then I believed, it will be cool to eliminate the IDE for good, and now, right here we go, now we have a standalone Swift model of the mandatory construct instruments. You possibly can set up it like this:
git clone https://github.com/EmbeddedSwift/MadMachine.git
cd MadMachine
make set up
Now you have to be prepared to make use of the mm cli app, you may examine the accessible instructions contained in the README file on GitHub. I’ve not examined this on Linux but, so in case you discover any points, please do not hesitate to report or submit a PR. That is an experimental mission, so preserve this in thoughts. 😅
The MadMachine toolchain
With a purpose to use the MadMachine SDK you will have a working toolchain put in in your laptop. You possibly can seize the newest one by operating the next command:
mm toolchain --upgrade
It will seize the newest launch from the unofficial MadMachine toolchain repository, and place it below your private home folder contained in the .MadMachine listing. There’s one extra factor that now you need to do earlier than you can begin constructing SwiftIO apps. Presently there’s one additional python script that was not ported but, as a result of it will likely be fully eradicated sooner or later. For now you continue to should obtain the official MadMachine SDK from the GitHub releases web page and place your entire contents of the mm-sdk/tools_[platform]/scripts/dist/gen_isr_tables folder into the ~/.MadMachine/legacy listing. You might need to create a legacy folder. 🙈
The SwiftIO framework
The SwiftIO framework goes to be linked with the applying binary, now we have to put in it (with the assistance of the mm-cli software) as a system library first. There’s an unofficial repo with a makefile for this:
git clone https://github.com/EmbeddedSwift/SwiftIO
cd SwiftIO
make set up
You’ll find the library reference for the SwiftIO framework, however we’ll see you can also make it work, in just some moments. Earlier than we go additional it’s best to be aware that the customized MadMachine toolchain is a modified model of the Swift 5.1 toolchain. This implies that you may’t use Swift 5.3 on the board but, however hopefully the creators of SwiftIO will launch new software program parts actual quickly. 🤞
Utilizing Xcode
The SwiftIO framework will be compiled in your native machine with the native Swift toolchain (utilizing Xcode), so it’s attainable to construct purposes with out concentrating on the board, and in a while you may re-compile the supply information with the mm-cli command, signal the ultimate binary and deploy it to the SwiftIO board after you’ve got pressed the obtain button. That is the present workflow in a nutshell.
There’s an current Xcode template created by @kidmar that you should use as a place to begin.
Utilizing SPM
These days I favor to create a Swift bundle for nearly all the things. You should utilize SPM with a Makefile and your favourite editor to create SwiftIO apps. You simply should initialize a brand new executable bundle with the mandatory dependencies, for instance:
import PackageDescription
let bundle = Bundle(
title: "myProject",
merchandise: [
.executable(name: "myProject", targets: ["myProject"]),
],
dependencies: [
.package(url: "https://github.com/EmbeddedSwift/SwiftIO", .branch("main")),
.package(url: "https://github.com/EmbeddedSwift/SHT3x", .branch("main")),
.package(url: "https://github.com/EmbeddedSwift/LCD1602", .branch("main")),
],
targets: [
.target(name: "myProject", dependencies: [
.product(name: "SwiftIO", package: "SwiftIO"),
.product(name: "SHT3x", package: "SHT3x"),
.product(name: "LCD1602", package: "LCD1602"),
]),
]
)
Contained in the primary.swift file now you may write a easy Humiture sensor app that shows the present humidity & temperature on a 16×2 LCD show like this:
import SwiftIO
import SHT3x
import LCD1602
extension Float {
func format(_ f: Int) -> Float {
guard f > 0 else {return self}
var mul = 10
for _ in 1..<f {
mul *= 10
}
let information = Int(self * Float(mul))
return Float(information) / Float(mul)
}
}
let i2c = I2C(Id.I2C0)
let liquid crystal display = LCD1602(i2c)
let sht = SHT3x(i2c)
whereas true{
let temp = sht.readTemperature()
liquid crystal display.write(x: 0, y: 0, "Temperature:")
liquid crystal display.write(x: 0, y: 1, String(temp.format(1)))
liquid crystal display.write(x: 4, y: 1, " ")
liquid crystal display.write(x: 5, y: 1, "C")
sleep(ms: 1000)
}
Now in case you open the Bundle.swift file utilizing Xcode you may even construct the mission regionally utilizing the CMD+B shortcut, however do not attempt to run it, since your Mac is just not a SwiftIO board… 😅
If you wish to construct and run this mission you need to goal the SwiftIO board. The mm-cli cannot resolve bundle dependencies (but) so you need to set up the mandatory dependencies (SHT3x, LCD1602) the identical approach as we did with the SwiftIO library. You must clone each repositories and use the makefile to put in them as native MadMachine system libraries. It will transfer the required information below the ~/.MadMachine/libraries folder, all of the accessible libraries “reside” there. 🔨
After you’ve got put in the libraries, you should use the next Makefile for the precise binary builds:
construct:
mm construct --name myProject --binary-type executable --input . --output ./myProject
run: construct
mm board --run ./myProject/swiftio.bin
clear:
rm -r ./myProject
The mm construct command invokes the swiftc compiler from the SwiftIO toolchain with the precise search paths and library search paths. The mm board --run [binary] command will merely copy the mandatory information to the MadMachine board whether it is in obtain mode. You must press the obtain button on the board earlier than you run this command. Urgent the obtain button will mount the SD card so we are able to deploy the signed binary to the gadget, then eject the storage, which can restart the board and the brand new software shall be loaded & executed immediately. 🚀
The MadMachine IDE
In case you do not wish to play with command line utilities, you may at all times use the MadMachine IDE to construct and ship your initiatives. It makes use of a mmp file to explain dependencies, so it might resolve them on the fly, however I do not like the truth that I’ve to make use of a brand new bundle supervisor and editor to work with Swift. I am in a love and hate relationship with Xcode (plus I am an old-school Chic Textual content fan). ❤️
Anyway, yow will discover actually nice examples with a devoted GitHub repository and plenty of video tutorials on the official YouTube channel. You possibly can entry all of the MakerKit pattern codes, they’re each on GitHub and you may clone a template with a click on utilizing the MadMachine IDE.
Conclusion
For me, the SwiftIO board was a pleasing shock. I at all times needed to play with embedded methods, know a bit of extra about hardwares and low degree stuff, however the Raspberry PI and the Arduino felt like alien planet. As soon as I’ve tried to construct an app for a Raspberry PI at a hackaton, but it surely was an entire catastrophe, I used to be disenchanted, as a result of the instruments and the developer expertise was actually dangerous.
The promise of MadMachine is that you may simply use Swift on such a tool and I consider that Andy Liu created one thing that may have a shiny future on the long run. I felt in love with SwiftIO proper after I’ve assembled my first circuit and deployed my very first Swift supply. It was a seamless (ache free) expertise and I consider that is a very vital issue for builders who by no means used such units earlier than. This may be the start and the way forward for Swift on embedded methods. 😍
You possibly can construct some actually enjoyable stuff with SwiftIO, it is an ideal software for studying how electrical circuits work. I can not wait to see an increasing number of sensors and libraries accessible for MadMachine. If in case you have an concept or a query be at liberty to hitch the official discord server.
You can too preorder the following spherical of SwiftIO boards from the MadMachine Retailer. Andy simply informed me that in case you order now, they’ll ship your bundle in 1-3 days as soon as they get a brand new order. This would possibly change quick, however you may at all times examine the order particulars on the MadMachine web site. 🤖
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