This is the RSE Skills Graph web app written in Python 3 with the Flask framework. Original code by Steve Pettifer; mods by Ian Cottam, Colin Morris, Ian Hinder; The University of Manchester; Apache 2 Licence
There is an existing deployment hosted here. You can click on RSEs' names and see their skills, as well as search by skill.
To add or update a person's entry, modify the JSON entry in people.json. People with spaces in their surname should use underscore e.g. Le_Blanc.
It will be displayed properly with a space. The "interests" for each person need to come from Wikipedia main entries - that is our controlled vocabulary.
The JSON is fairly obvious. There are two levels, called "interests" and "technologies". Interests are clickable, but technologies not. Some browsers let you right-click a technology and look up its definition. In the RSE-skills application we really just use Interests, so everything is clickable. We do use technologies sparingly as commentary.
You should add "interests" if you feel confident on being selected to work on a project where that technology is the main technology used then add it as an interest.
The requirements.txt should contain the Python modules needed.
You also need to install the C-based GraphViz library: e.g. brew install graphviz (MacOS)
To run locally: flask run
There is a Dockerfile within the repository from which a docker image can be built and run. See Running in Docker.
There is an instance of this software running at the University of Manchester on a Research Virtual Machine.
There is documentation for running in Microsoft Azure: Running in Docker on Azure.
Portrait images of people can be included in an images directory, but we don't use that faclity at the moment.
- A self-service web-frontend for editing the files