CircuitPython library for LoRaWAN and The Things Network.
This driver depends on:
Please ensure all dependencies are available on the CircuitPython filesystem. This is easily achieved by downloading the Adafruit library and driver bundle.
Installing from PyPI
On supported GNU/Linux systems like the Raspberry Pi, you can install the driver locally from PyPI. To install for current user:
pip3 install adafruit-circuitpython-tinylora
To install system-wide (this may be required in some cases):
sudo pip3 install adafruit-circuitpython-tinylora
To install in a virtual environment in your current project:
mkdir project-name && cd project-name python3 -m venv .env source .env/bin/activate pip3 install adafruit-circuitpython-tinylora
Usage example is described in the learn guide for this library.
Contributions are welcome! Please read our Code of Conduct before contributing to help this project stay welcoming.
Zip release files
To build this library locally you’ll need to install the circuitpython-build-tools package.
python3 -m venv .env source .env/bin/activate pip install circuitpython-build-tools
Once installed, make sure you are in the virtual environment:
Then run the build:
circuitpython-build-bundles --filename_prefix adafruit-circuitpython-tinylora --library_location .
Sphinx is used to build the documentation based on rST files and comments in the code. First, install dependencies (feel free to reuse the virtual environment from above):
python3 -m venv .env source .env/bin/activate pip install Sphinx sphinx-rtd-theme
Now, once you have the virtual environment activated:
cd docs sphinx-build -E -W -b html . _build/html
This will output the documentation to docs/_build/html. Open the index.html in your browser to view them. It will also (due to -W) error out on any warning like Travis will. This is a good way to locally verify it will pass.
This library was written by ClemensRiederer. We’ve converted it to work with Adafruit CircuitPython and made changes so it works with the Raspberry Pi and Adafruit Feather M0/M4. We’ve added examples for using this library to transmit data and sensor data to The Things Network.
This open source code is licensed under the LGPL license (see LICENSE for details).