A MkDocs plugin that injects the mkdocs.yml extra variables into the markdown template
usecase
As a user with variables that need to be inserted at the markdown level, not the template level.
I need a mkdocs plugin that will inject my `extras` variables into the markdown template before it gets rendered to html.
So that I can build my markdown pages with different values for images, urls, client_names, etc.
Note: This package requires MkDocs version 0.17 or higher.
Install the package with pip:
pip install mkdocs-markdownextradata-pluginEnable the plugin in your mkdocs.yml:
plugins:
- search
- markdownextradata: {}You are then able to use the mkdocs extra: {} hash to pass context data into your files
Note: If you have no
pluginsentry in your config file yet, you'll likely also want to add thesearchplugin. MkDocs enables it by default if there is nopluginsentry set, but now you have to enable it explicitly.
If the extra: {} hash is not enough for your data then you are able to make use of external yaml files to provide that context data
plugins:
- search
- markdownextradata:
data: path/to/datafilesThe data path is optional; when absent, it will look for a _data
folder adjacent to your mkdocs.yml and inside your docs_dir.
If this path is found, the plugin will read all .yml and .json
files inside it and add the data in them to the data available to the templates.
The paths to these become their variable names, so if inside your data folder you have a file
called sections/captions.yml, the data inside that file will be available in your
templates as sections.captions.
The variables you define in the mkdown.yml extra: slot will become available in your templates
extra:
customer:
name: Your name here
web: www.example.com
salt: salt.example.comand then in your *.md files
{{ customer.name }}
<a href="{{ customer.web }}">{{ customer.web }}</a>virtualenv venv -p python3.7
source venv/bin/activate
python setup.py test
pytest test
From reporting a bug to submitting a pull request: every contribution is appreciated and welcome. Report bugs, ask questions and request features using Github issues. If you want to contribute to the code of this project, please read the Contribution Guidelines.