AI on OpenShift

Source code for the AI on OpenShift site, using Material for MkDocs.

Rendered at https://ai-on-openshift.io/

Goal

The AI on OpenShift site aims at being a one-stop shop for installation recipes, patterns, demos for various AI/ML tools and applications used in Data Science and Data Engineering projects running on OpenShift.

Development

Local development with MkDocs

• Prerequisites: Python >=3.7

• Install the mkdocs-material package from PyPI, either in your main Python environment or in a virtual environment: pip install mkdocs-material.

• A Pipfile is also provided. To make use of it, you can execute:

  pip install pipenv
  pipenv install
  pipenv shell

• From the root of the repo, launch mkdocs serve

• The documentation will be accessible at http://127.0.0.1:8000

• All saved modifications are watched and rendered real time

• Once your environment is fully set up, you can also start the development environment by launching the start-dev.sh file.

Alternatively, you can also try serving the content using a container image.

• For example, using podman and an image from DockerHub

  podman run --rm -it \
      -p 8000:8000 \
      -v ${PWD}:/docs \
      squidfunk/mkdocs-material

Contributions

• Create a branch (maintainers team) or fork the repo (other contributors)
• Develop locally as described above
• Submit a Pull Request to the main branch of the repo