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Easily control devices with Raspberry Pi

Project description

Raspidevkit

Easily control devices with Raspberry Pi

Building

Using setuptools

First, ensure that the setuptools and wheel packages as installed with

pip install setuptools 
pip install wheel

Navigate to root directory and create the distribution package by running

python setup.py sdist bdist_wheel

After creating the package, we can now install the package with pip install dist/raspidevkit-{version}.tar.gz

Using build (project.toml)

pip install piptools build
pip-compile --extra dev pyproject.toml
python -m build

After creating the package, we can now install the package with pip install dist/raspidevkit-{version}.tar.gz

Running Test

First ensure that pytest is installed on your machine by running

pip install pytest

Run all test

pytest

Run single test file

pytest tests/test_gpio_devices.py

Run single test case

pytest test/test_gpio_devices.py::TestGpioDevice::test_button

Generating Documentation

To generate documentation, ensure that sphinx, as well as the theme by doing

pip install sphinx
pip install sphinx_rtd_theme

After installing the documentation dependencies navigate to the docs folder. Inside the docs folder, run:

sphinx-build -M html source/ build/

Uploading to PyPi

Install dependencies

pip install twine

Then build the projevt either by using setuptools or by build. After generating the wheel and source file, test it with twine

twine check dist/*

To upload to testpypi use:

twine upload-r testpypi dist/*

To upload to PyPi use:

twine upload dist/*

Enter your API key which should be in the .env file.

Install it with pip install raspidevkit

Usage

For all devices coverage, you can read the documentation here

Blinking an LED

import raspidevkit
import time

machine = raspidevkit.Machine()
led = machine.attach_led(14)
led.turn_on()
time.sleep(3)
led.turn_off()

In this example, first we need to create a Machine object which represents our Raspberry Pi machine and by calling attach_{device} we can spawn a device which we can use to do various things such as for this led, turning on and off.

Specifying Board Layout

By default, the board layout is set to BCM, if you want to set it to BOARD layout you can specify the gpio_mode for the Machine

import raspidevkit
import time

machine = raspidevkit.Machine(gpio_mode=raspidevkit.BOARD)

Logging

The Machine class has also a logger which can be enabled on enable_logging and debug arguments of the Machine class. When debug is True the logger object will be set to debug level regardless of the logger configuration given. Below is a sample configuration for logger, though this is just option

'logging': {
    'format': '%(asctime)s [%(levelname)s] - %(message)s.',
    'file': 'machine.log',
    'level': logging.INFO
}

Motors, Drivers and Etc.

Motors and other devices that may require external drivers that may not be directly connected to the Raspiberry Pi

Devices such as this requires their respective drivers to be first attach to the Raspiberry Pi then from that driver will spawn the Motor or other device object. Below is a sample snippet for L298N motor driver.

import raspidevkit
import time

machine = raspidevkit.Machine()
pins = (12, 13, 14)
l298n = machine.attach_l298n(pins)
motor = l298n.attach_motor()
motor.run()
time.sleep(5)
motor.stop()

You can also set the speed of the motor by enabling the PWM mode of the motor by setting is_pwm to True when attaching motor to the drive

motor = l298n.attach_motor(is_pwm=True)

I2C Communication

The library will also support devices that uses I2C Protocol for communications. By default, when initializing the Machine object, the I2C interface is not enabled yet. You can enable it by setting the i2cbus to the bus you want to use. For Raspi4 and above it is 1.

import raspidevkit
import time

machine = raspidevkit.Machine(i2cbus=1)

As of this writing, the I2C communication is still in testing mode and currently no devices has been implemented yet :(

Arduino Boards

Raspidevkit also supports controlling devices that are attached to an Arduino in which the Arduino is attached to the Arduino. As of now, the currenly supported communication mode is just for serial. This also features auto code generation, compilation and upload to the Arduino Board.

Auto Code Generation and Upload

If you plan to use the auto upload feature, you must first install the arduino-cli in your system. Below is a sample snippet with auto upload feature.

import raspidevkit
import time

machine = raspidevkit.Machine(arduino_cli_path=r'/path/to/arduino-cli')
arduino = machine.attach_arduino('/tty/USB0', timeout=5)
led = arduino.attach_led(13)
arduino.compile()
led.turn_on()
time.sleep(3)
led.turn_off()

The principle of drivers mentioned above is also true for the arduino board wherein we attached first the arduino object on the machine then spawning the LED object from the arduino. The Arduino object is also just a subclass of serial.Serial object so any other arguments such as baudrate can also be applied when initializing the object. I also recommend putting a timeout of higher than 3 especially when dealing with devices that needs to send higher size of data to the Arduino.

When working with the Arduino, it is required to call the compile method which would handle the code generation and auto upload of the code to the Arduino board. So, before you call this method make sure that all devices you want to use in your Arduino Board are declared as this will only include devices attached up until the compile method was called.

Without Arduino-cli

If you have not installed the arduino-cli in your system or the library could not find the arduino-cli in the path you have provided. Then it will throw an exception when the compile method was called. You can however generate the code and have it manually uploaded to the Arduino. Here's how:

import raspidevkit
import time

machine = raspidevkit.Machine()
arduino = machine.attach_arduino('/tty/USB0', timeout=5)
led = arduino.attach_led(13)
arduino.generate_code('test.ino')
### Have it uploaded then run the script again ###
led.turn_on()
time.sleep(3)
led.turn_off()

Here, we first generate the code to the file test.ino and manually uploaded the sketch file to the Arduino. after the sketch is uploaded we can then skip the code generation part and control our LED. However, this may be too much time-consuming in the long run

Contribution

Thank you for considering contributing to our project! We welcome contributions from everyone. Please take a moment to review this document in order to make the contribution process straightforward and effective for everyone involved.

Ways to Contribute

There are many ways to contribute to this project:

  • Reporting bugs
  • Suggesting enhancements
  • Writing documentation
  • Fixing bugs
  • Implementing new features
  • Providing feedback on issues

Getting Started

If you're new to contributing to open source projects, check out the following resources to get started:

Issues

Issues are tracked in our GitHub issue tracker. Please search the existing issues before filing a new one to avoid duplicates. If you find your issue already exists, you can contribute to the discussion or provide additional information.

Pull Requests

We use Pull Requests (PRs) to review and merge changes into the main codebase. If you're not familiar with Pull Requests, please refer to GitHub's documentation on Creating a Pull Request.

License

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

Third-Party Libraries

We would like to thank the developers of the following third-party libraries, which were used in the development of this project:

  • RPi.GPIO: Fundamental package for the GPIO interface of the library.
  • fake-rpi: Used for development on other platforms without using Raspberry Pi.
  • smbus2: Fundamental package for the I2C interface of the library.
  • pyserial: Fundamental package for the serial interface of the library.
  • arduino-cli: For the great solutions for automating development with Arduino Boards.
  • and others...

These libraries have been instrumental in achieving various functionalities within our project. We express our gratitude to the developers for their hard work and dedication in creating and maintaining these essential tools.

TODO

  • Launch to PyPi
  • Create documentation
  • Add support for SPI devices
  • Add more supported devices

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