Metadata-Version: 2.1
Name: pyublox
Version: 3.1.2
Summary: Interface with ublox chipsets using Python.
Home-page: https://gitlab.esa.int/AMIC/pyublox.git
Author: Rokubun
Author-email: info@rokubun.cat
License: EUROPEAN SPACE AGENCY PUBLIC LICENSE - V2.4 - STRONG COPYLEFT
Platform: UNKNOWN
Description-Content-Type: text/markdown
Requires-Dist: docopt
Requires-Dist: pyserial
Requires-Dist: roktools (>=1.4)

# Python package to communicate with ublox receivers

Python package to communicate with ublox chipsets

To install the package:

```bash
pip3 install pyublox
```

## Basic usage

This section includes some basic sections on how to use the package

```bash
# Help
pyublox -h

# Autodetect ublox receiver connected via a serial port, including some
# basic receiver configuration (rates, tracked signals, ...)
pyublox detect
```

## Testing the package

This package uses the pytest suite, to execute the tests, issue the following
command

```bash
pytest -v -r s /path/to/source
```

The `-r s` option is used to show the reason of skipped tests or modules

### Development within a Docker container

The best way to develop the package is by using a controlled environement.
To do this, run a Python 3.7 container like so

```bash
docker run -v `pwd`:/pyublox -ti rokubun/gcc:debian-python3.7 bash
```

If deveoping within the Raspberry Pi

```bash
docker run -v `pwd`:/pyublox --device=/dev/ttyACM0  -ti python:3.7  bash

# Develop using jupyter (mounting a folder to store the Notebooks)
cd amic/pyublox/
docker run -v `pwd`:/pyublox -v "${PWD}/notebooks":/notebooks -p 8888:8888 --device=/dev/ttyACM0  -ti andresvidal/jupyter-armv7l
```

Once within the container type the following commands:

```bash
# The package requires git to work properly
pip install -e /pyublox
```

More information on the image available in [jupyter-armv7l repository](https://github.com/andresvidal/jupyter-armv7l)


We can also use docker compose

```bash
# Build the image
cd amic/pyublox/
docker-compose build

# Or directly run the container for development, this is equivalent to the
# docker run call shown above, but we do not need to launch pip install
docker-compose up
```

## Submission to PyPi

In order to deploy to PyPi

```bash
# Update setuptools
python3 -m pip install --user --upgrade setuptools wheel

# Create the distribution wheel
python3 setup.py sdist bdist_wheel

# Upload the distribution wheels to the PyPi repo
python3 -m twine upload dist/*
```

More details on deployment can be found [here](https://packaging.python.org/tutorials/packaging-projects/#generating-distribution-archives).


