python-uart-scc1

This repository provides a Python driver for Sensirion SCC1-USB Cable. The detailed technical description of the SCC1-USB cable is provided in the datasheet.

Feature overview

On one hand the SCC1-USB exposes an API to efficiently use the supported sensors. So far support is only added for the SLF3x-Sensor family.

On the other hand the cable can be used as USB to I2c bridge for any Sensirion I2c sensor that can be plugged to the cable.

For both scenarios an example is available in the example subfolder of this repository.

Note: Using the cable as USB to I2c bridge will not allow to achieve the same throughput as with the embedded API.

The API of the driver is described on the documentation page of this repository

Getting started

Installation

It is recommended to use a virtual environment. In any case you can install the package via pip by typing:

pip install sensirion-uart-scc1

If you have cloned the repository you can install the package and all it dependencies using poetry.

poetry install

Running the examples

We provide two examples to show two basic usage scenarios of the driver

• SLF3x Usage This example does not require any additional dependency. Once the package sensirion-uart-scc1 is installed the example is run by typing:

    python ./examples/scc1_slf3x_example/slf3x_usage.py --serial-port <your-com-port>

• USB-I2c-Bridge This example shows how a public python driver can be used with the SCC1-USB cable. The example uses the public driver sensirion_i2c_sf06_lf. Before you run the example you need to install this driver.

    pip install sensirion_i2c_sf06_lf

  After having installed the driver the example is run by typing:

    python ./examples/scc1_usb_to_i2c/scc1_usb_2_i2c_usage.py --serial-port <your-com-port>

Contributing

You are very welcome to open issues and to create pull requests.

Nevertheless you need to understand that we cannot consider pull request that do not pass the CI-pipeline.

This section explains in short how you can make sure that your contribution passes all the checks of the CI pipeline.

The repository uses poetry for dependency management. It is used in the CI pipeline as well. The easiest way to be conformant to our coding style will be to use poetry for your contributions as well. This will allow to test and check your contributions locally before creating pull requests.

Installing and running tests

For testing some extra dependencies are required that need to be installed.

poetry install --with test

The tests (including those that are marked) can be executed by tying:

poetry run pytest

Note: On github no tests that require hardware can be run. Test cases that rely on attached hardware need to be decorated with @pytest.mark.needs_hardware

Checking code-formatting

Make sure that you code is properly formatted. The CI pipeline will check and fail if this is not the case. To check the code-formatting before pushing to the repository type:

poetry run flake8