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https://github.com/jandelgado/jled-circuitpython

Non-blocking LED controlling library for CirctuitPython and MicroPython.
https://github.com/jandelgado/jled-circuitpython

circuitpython jled micropython

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Non-blocking LED controlling library for CirctuitPython and MicroPython.

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README

        

Introduction
============

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:alt: Build Status

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:alt: Code Style: Black

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:alt: API Documentation

An embedded library for Python to control LEDs. It uses a **non-blocking**
approach and can control LEDs in simple (**on**/**off**) and complex
(**blinking**, **breathing** and more) ways in a **time-driven** manner.

This is a pure Python port of my `JLed `_
C++ library.

.. image:: .images/jled.gif
:alt: JLed in action

Features
========

- non-blocking
- effects: simple on/off, breathe, blink, candle, fade, user-defined
- supports inverted polarity of LED
- easy configuration using fluent interface
- can control groups of LEDs sequentially or in parallel
- supports CircuitPython and MicroPython

Usage Example
=============

Test JLed interactively in a CircuitPython REPL:

.. code-block::

Adafruit CircuitPython 7.3.3 on 2022-08-29; Raspberry Pi Pico with rp2040
>>> import board
>>> from jled import JLed
>>> led=JLed(board.LED).breathe(500).delay_after(250).repeat(5)
>>> while led.update(): pass

This creates a JLed object connected to the builtin LED (``board.LED``), with a
breathe effect that is repeated 5 times. Each iteration is followed by a delay
of 250 ms, before starting again. By calling ``led.update()`` periodically,
the LED gets physically updated. Alternatively ``play(led)`` can be call in the
REPL as a shortcut. Once finished, call ``led.reset()`` before playing the
effect again.

Cheat Sheet
===========

.. image:: .images/jled_cheat_sheet.jpg

Installation
=============

On supported GNU/Linux systems like the Raspberry Pi (with `Adafruit-Blinka
`_), you can install the lib
locally `from PyPI `_. To
install for current user:

.. code-block:: shell

pip3 install circuitpython-jled

To install system-wide (this may be required in some cases):

.. code-block:: shell

sudo pip3 install circuitpython-jled

To install in a virtual environment in your current project:

.. code-block:: shell

mkdir project-name && cd project-name
python3 -m venv .venv
source .env/bin/activate
pip3 install circuitpython-jled

Installing to a Connected CircuitPython Device with Circup
----------------------------------------------------------

``JLed`` is available in the `Circuitpython Community Bundle `_
and can easily installed with `circup `_ by
running::

$ circup install jled

Optionally copy also one of the example as ``code.py`` to the root of the filesystem.

Installing on a MicroPython device
----------------------------------

Create a directory called ``jled`` on the device and `copy
`_ the following files into this directory:
into this directory: ``jled.py``, ``jled_sequence.py``
``hal_pwm_micropython.py``, ``hal_time_micropython.py``, ``play.py``,
``__init__.py```. Optionally also copy one of the example as ``main.py`` to the
root of the filesystem. The overall structure is:

.. code-block::

/
├─ main.py
└─ jled
   ├─ __init__.[m]py
   ├─ hal_pwm_micropython.[m]py
   ├─ hal_time_micropython.[m]py
   ├─ jled.[m]py
   ├─ jled_sequence.[m]py
   └─ play.[m]py

To reduce memory consumption, Python source files can be compiled to binary
``mpy`` format using the `mpy-cross `_
tool. For convenience, a script to compile and copy jled to a connected device
is provided here (see ``scripts/install_mp.sh``).

Documentation
=============

`API documentation for this library can be found on here
`_.

Rebuild the documentation with ``sphinx-build -E -W -b html . _build/html``
in the ``docs`` directory. Run ``pip install ".[optional]"`` before to install
build-time dependency `Sphinx `_

Tests
=====

Unit tests (using https://docs.pytest.org) are provided, run the tests with:

.. code-block::

$ pip install ".[optional]"
$ pytest

To run the ``pre-commit-hook`` locally, run ``pre-commit run --all-files``

Author & Copyright
==================

Copyright © 2022-2023 by Jan Delgado, License: MIT