Utilities for track and field athletics
Project description
# athlib
Athlib is a library of functions, data and schema for Athletics (i.e. Track and Field)
We’re building lots of sites for the sport of athletics. When we find something common and testable, we aim to place it here. This library should contain
static reference data, provided it’s not huge nor available elsewhere
Python code implementing functions of general interest
Javascript code implementing functions of general interest
- It is NOT intended to contain
web applications, view code or database code.
competition management software
Things we hope to put in here:
standard event codes and their English names
UKA and other age group calculators
WMA age grade calculations
utilities for parsing and formatting performances as commonly input in athletics
standardised scoring functions
sample JSON files in line with our schemas
schemas to validate
# Documentation
The main documentation is [over here](http://opentrack.run/athlib/build/html/index.html). What follows below is intended to help people working on athlib; if you are not an experience Python or Javascript developer, please head over there.
# Python documentation
- ## Installation
pip install athlib
## Python development
For Python developers, please install the extra development requirements with ` pip install -r dev_requirements.txt ` Run tests with…
` python setup.py test `
Check style with ` pycodestyle --exclude=bin,lib,include,sampledata `
You can also copy the file pre-commit.sample to .git/hooks/pre-commit, and the two above checks will be run before any commit, and block it if they return issues.
# Javascript documentation
npm install athlib
Browser links coming soon
## Javascript development
We have a complete Javascript environment in the “js/” subdirectory. This is lifted from someone else’s library boilerplate.
npm run build # build for node npm run build-web # build for browser npm run test # tests running in console.
We’d welcome help modernising this. It uses Webpack 1 and gulp. The authors are a bit out of their depth here a.
# Documentation itself
The docs are written using reStructured Text, the Python standard. There is an environment in docs.
cd docs make html
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