MATRIX Rust Hardware Abstraction Layer

MATRIX RHAL is the Rust implementation of MATRIX HAL. The goal is to center around calling the MATRIX Kernel Modules and have most/all of HAL's features in this layer.

Usage

Add this to your Cargo.toml:

toml [dependencies] matrix_rhal = "0.0.3"

Roadmap

Below are the current/planned features in RHAL.

• [x] Device information
• [x] Sensor Reading
  • [x] UV
  • [x] Pressure
  • [x] Humidity
  • [x] IMU
• [x] Everloop
• [x] GPIO
  • [x] Digital Read/Write
  • [x] PWM Write
• [ ] Microphone
• [ ] Documentation

Dependencies

Run the following commands individually on your Raspberry Pi.

```bash

Add matrix repository & key

curl https://apt.matrix.one/doc/apt-key.gpg | sudo apt-key add - echo "deb https://apt.matrix.one/raspbian $(lsb_release -sc) main" | sudo tee /etc/apt/sources.list.d/matrixlabs.list

Update packages

sudo apt-get update sudo apt-get upgrade

Install MATRIX Init Package

sudo apt-get install matrixio-creator-init

Restart system

sudo reboot

Install MATRIX kernel Modules

sudo apt install matrixio-kernel-modules

Restart a second time

sudo reboot ```

Building From Source (Raspberry Pi)

Building directly on your Raspberry Pi will lead to slower compilation times, due to the lack processing power.

Install git.

bash sudo apt install git

Clone the repository.

bash git clone https://github.com/Hermitter/matrix-rhal

Install Rust on the pi.

bash curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh

Add MATRIX RHAL as a dependency to your Rust project.

• Cargo Path Dependencies

Building From Source (Cross Compile)

To reduce compilation times, it's recommended to build RHAL on your computer and deploy it to the Pi. This ends up saving time and sanity during development. Below are some guides to help set up this workflow:

• Docker
• Linux
• Windows & macOS