mkdocs-h5p 0.2.0

MkDocs plugin for embedding H5P files in Markdown using h5p-standalone.

mkdocs-h5p

Embed H5P packages in MkDocs Markdown using tunapanda/h5p-standalone.

The plugin extracts each referenced .h5p file during mkdocs build and injects the standalone H5P player into the generated page by default. It can also render each H5P package through a generated standalone HTML file embedded with an iframe.

Installation

pip install -e .

Enable the plugin in mkdocs.yml:

plugins:
  - search
  - h5p

Markdown Usage

Use the image-like syntax with h5p as the alt text:

![h5p](activities/example.h5p)

You can also use the explicit shortcode form:

{{ h5p("activities/example.h5p") }}

Paths are resolved relative to the Markdown file first, then relative to docs_dir.

Configuration

plugins:
  - h5p:
      h5p_dir: assets/h5p
      player_url: https://cdn.jsdelivr.net/npm/h5p-standalone@3.8.0/dist
      render_mode: inline
      frame: true
      full_screen: true
      export: false
      embed: false
      copyright: false
      player_options:
        icon: true

player_url points to the dist directory for h5p-standalone. By default it uses jsDelivr with version 3.8.0 pinned. For offline sites, download the h5p-standalone dist files into your MkDocs docs folder and set player_url to that local URL.

render_mode can be inline or iframe. The default, inline, adds the H5P div and h5p-standalone scripts to the generated MkDocs page. iframe creates mkdocs-h5p.html inside the extracted package directory under h5p_dir and embeds that file in the generated page.

Notes

Some H5P exports do not include every required library. The standalone player can only run content when the .h5p package includes the libraries it needs.

Publishing to PyPI

Install the packaging tools:

python -m pip install --upgrade build twine

Update pyproject.toml version before publishing:

Build the source distribution and wheel:

python -m build

Test the package on TestPyPI first:

python -m twine upload --repository testpypi dist/*

Then install it from TestPyPI to verify the published artifact:

python -m pip install --index-url https://test.pypi.org/simple/ mkdocs-h5p

Publish to PyPI:

python -m twine upload dist/*

When prompted by twine, use __token__ as the username and a PyPI API token as the password.