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|build| |pypi_version| |pypi_pyversions| |pypi_downloads| |code_style|
.. |build| image:: https://travis-ci.org/dblenkus/lactolyse.svg?branch=master :target: https://travis-ci.org/dblenkus/lactolyse :alt: Build Status
.. |pypi_version| image:: https://img.shields.io/pypi/v/lactolyse.svg :target: https://pypi.org/project/lactolyse :alt: Version on PyPI
.. |pypi_pyversions| image:: https://img.shields.io/pypi/pyversions/lactolyse.svg :target: https://pypi.org/project/lactolyse :alt: Supported Python versions
.. |pypi_downloads| image:: https://pepy.tech/badge/lactolyse :target: https://pepy.tech/project/lactolyse :alt: Number of downloads from PyPI
.. |code_style| image:: https://img.shields.io/badge/code%20style-black-black.svg :target: https://black.readthedocs.io/ :alt: Code style: black
This project requires Docker for running analysis and dependencies. If you
are not familiar with it, follow the official tutorial
_.
To install the package in the development (editable) mode, first clone the repository:
.. code-block:: bash
$ git@github.com:dblenkus/lactolyse.git $ cd lactolyse
You should create and activate a fresh virtual environment for this project:
.. code-block:: bash
$ python3 -m venv --prompt lactolyse .venv $ source .venv/bin/activate
And then install it with pip:
.. code-block:: bash
$ python -m pip install -e .
Test project is in the tests
directory, so you should run the rest of
commands in there:
.. code-block:: bash
$ cd tests
First start Docker containers for PostgreSQL and Redis services:
.. code-block:: bash
$ docker-compose up -d
Then, if you are setting up the environment for the first time, prepare the database:
.. code-block:: bash
$ ./manage.py migrate $ ./manage.py createsuperuser
And finally run the development server and background worker (in two separate terminals):
.. code-block:: bash
$ ./manage.py runserver $ ./manage.py runworker lactolyse.runanalysis
.. _official tutorial: https://www.docker.com/get-started
FAQs
Django package for lactate threshold analyses
We found that lactolyse demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 2 open source maintainers collaborating on the project.
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