Mau Reader: A Plugin for Pelican
Mau Reader is a Pelican plugin that converts the Mau format into HTML.
Requirements
This plugin requires:
- Python 3.10+
- Pelican 4.5+
- Mau 5.0+
Installation
This plugin can be installed via the following command, which will also automatically install Mau itself:
python -m pip install pelican-mau-reader
As long as you have not explicitly added a PLUGINS setting to your Pelican settings file, then the newly-installed plugin should be automatically detected and enabled. Otherwise, you must add mau_reader to your existing PLUGINS list. For more information, please see the How to Use Plugins documentation.
Usage
The plugin automatically manages all Pelican content files ending with the extension: .mau
Metadata shall be expressed as Mau variables under the pelican namespace. For example:
:pelican.title:Test Mau file with content
:pelican.date:2021-02-17 13:00:00
:pelican.modified:2021-02-17 14:00:00
:pelican.category:test
:pelican.tags:foo, bar, foobar
:pelican.summary:I have a lot to test
The value of a metadata field is a string, just as it is in the standard Markdown format. Please note that Mau variable values include all characters after the colon, spaces included.
All values in the config dictionary are available as variables, so you can specify global values that are valid for all documents.
Custom templates
You can override some or all Mau default HTML templates via the custom_templates configuration variable. For example, should you want to add a permanent link to all headers you can define:
MAU = {
"custom_templates": {
"header.html": (
'<h{{ level }} id="{{ anchor }}">'
"{{ value }}"
'<a href="#{{ anchor }}" title="Permanent link">¶</a>'
"</h{{ level }}>"
)
}
}
… and if you want to limit that to only headers of level 1 and 2 you can use:
MAU = {
"custom_templates": {
"header.html": (
'<h{{ level }} id="{{ anchor }}">'
"{{ value }}"
'{% if level <= 2 %}<a href="#{{ anchor }}" title="Permanent link">¶</a>{% endif %}'
"</h{{ level }}>"
)
}
}
Table of contents and footnotes
The TOC (Table of Contents) and footnotes are specific to each content file and can be inserted as usual with the Mau commands ::toc: and ::footnotes:.
Custom header anchors
Mau provides a simple function to compute IDs for headers, based on the content. The current function is:
def header_anchor(text, level):
# Everything lowercase
sanitised_text = text.lower()
# Get only letters, numbers, dashes, and spaces
sanitised_text = "".join(re.findall("[a-z0-9- ]+", sanitised_text))
# Remove multiple spaces
sanitised_text = "-".join(sanitised_text.split())
return sanitised_text
This provides deterministic header IDs that should suit the majority of cases. Should you need something different, you can provide your own function specifying mau.header_anchor_function in the configuration:
MAU = {
"mau.header_anchor_function": lambda text, level: "XYZ",
}
The example above returns the ID XYZ for all headers (not recommended as it is not unique). The arguments text and level are respectively the text of the header itself and an integer representing the level of depth (e.g., 1 for h1 headers, 2 for h2 headers, and so on).
Contributing
Contributions are welcome and much appreciated. Every little bit helps. You can contribute by improving the documentation, adding missing features, and fixing bugs. You can also help out by reviewing and commenting on existing issues.
To start contributing to this plugin, review the Contributing to Pelican documentation, beginning with the Contributing Code section.
License
This project is licensed under the MIT license.
Release files for pelican-mau-reader 5.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pelican_mau_reader-5.0.0.tar.gz | 7.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pelican_mau_reader-5.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 14.0 kB
Release files / pelican_mau_reader-5.0.0.tar.gz
| Download URL | pelican_mau_reader-5.0.0.tar.gz |
|---|---|
| Size | 7.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
9645dff3fc73bd107b7f7abc607929be1de53551025c6460f2a4c0544023fcc8
|
|
BLAKE2b-256 checksum How to use checksums |
b90d78ed60760d6cf2d46f3b6dbeff5a3e8b42c1a654e90acf3804761e273980
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
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twine/6.1.0 CPython/3.13.7
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Signed by GitHub Actions, verified by PyPI on Mar 31, 2026.
Transparency logRelease files / pelican_mau_reader-5.0.0-py3-none-any.whl
| Download URL | pelican_mau_reader-5.0.0-py3-none-any.whl |
|---|---|
| Size | 7.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
110735a991b6bc56d50f2b3de8116aa5d37e5709677a86447457b7168debbc62
|
|
BLAKE2b-256 checksum How to use checksums |
a3289f671c4cb6af8f78e94996436ef418bf7b05e4666d63ed42a352c5f7bab8
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Mar 31, 2026.
Transparency log