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MkDocs plugin that captures HTML output and creates cousin Markdown files with original frontmatter

Project description

vexy-mkdocs-output-as-input

PyPI version CI codecov License: MIT Python versions

A MkDocs plugin that captures HTML output and creates "cousin" Markdown files with original frontmatter and extracted HTML content.

Features

This plugin enables powerful post-processing workflows by:

  1. ✅ Preserving your original Markdown structure and frontmatter
  2. ✅ Capturing the fully-rendered HTML output from MkDocs
  3. ✅ Creating new Markdown files that combine original metadata with processed HTML
  4. ✅ Enabling further processing by other static site generators

Installation

Install from PyPI:

uv pip install --system --upgrade vexy-mkdocs-output-as-input

Or install from source:

pip install git+https://github.com/vexyart/vexy-mkdocs-output-as-input

Quick Start

Add the plugin to your mkdocs.yml:

plugins:
  - search  # Other plugins
  - output-as-input

Build your site:

mkdocs build

Find your processed files in the stage/ directory (relative to your MkDocs project root).

Configuration

All configuration options with their defaults:

plugins:
  - output-as-input:
      stage_dir: stage          # Output directory name (default: 'stage')
      html_element: main        # HTML element to extract (default: 'main')
      target_tag: article       # Tag to use in output (default: 'article')
      verbose: false            # Enable verbose logging (default: false)

Options Explained

Option Type Default Description
stage_dir string "stage" Directory name for output files (relative to project root)
html_element string "main" CSS selector for the HTML element to extract
target_tag string "article" HTML tag to use in the output (replaces extracted element's tag)
verbose boolean false Enable detailed logging for debugging

How It Works

Input → Process → Output

  1. Input: Your source Markdown with frontmatter

    ---
    title: My Page
    author: Jane Doe
    ---
    
    # My Page
    
    This is my content with **markdown**.
    
  2. MkDocs Processing: Renders to HTML as usual

    <main class="md-content">
      <h1>My Page</h1>
      <p>This is my content with <strong>markdown</strong>.</p>
    </main>
    
  3. Output: Cousin file with preserved frontmatter + extracted HTML

    ---
    title: My Page
    author: Jane Doe
    ---
    
    <article class="md-content">
      <h1>My Page</h1>
      <p>This is my content with <strong>markdown</strong>.</p>
    </article>
    

Use Cases

🔄 Multi-Stage Documentation Pipeline

Process documentation through MkDocs first, then feed to another SSG:

# mkdocs.yml
plugins:
  - output-as-input:
      stage_dir: hugo/content

# Then run:
# mkdocs build && hugo build

📝 Content Extraction

Extract just the article content without theme wrapper:

plugins:
  - output-as-input:
      html_element: article
      target_tag: div

🎨 Custom Post-Processing

Preserve MkDocs rendering while preparing for custom templates:

plugins:
  - output-as-input:
      stage_dir: _includes
      html_element: main
      target_tag: section

Examples

Basic Example

# mkdocs.yml
site_name: My Documentation
plugins:
  - output-as-input

Advanced Example

# mkdocs.yml
site_name: My Documentation
theme:
  name: material

plugins:
  - search
  - output-as-input:
      stage_dir: processed
      html_element: article.md-content__inner
      target_tag: main
      verbose: true

# Process specific content area from Material theme

Integration Example

Using with other tools in a documentation pipeline:

#!/bin/bash
# build.sh

# Stage 1: Build with MkDocs + plugins
mkdocs build

# Stage 2: Process staged output
python post_process.py stage/

# Stage 3: Build final site
hugo --contentDir=stage/

Development

Setup Development Environment

# Clone the repository
git clone https://github.com/vexyart/vexy-mkdocs-output-as-input
cd vexy-mkdocs-output-as-input

# Create virtual environment
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

# Install in development mode
pip install -e .[dev]

# Install pre-commit hooks
pre-commit install

Running Tests

# Run all tests
pytest

# Run with coverage
pytest --cov=mkdocs_output_as_input --cov-report=html

# Run specific test
pytest tests/test_plugin.py::TestOutputAsInputPlugin::test_default_config

Code Quality

# Format code
black src tests

# Lint code
ruff check src tests

# Type check
mypy src

Contributing

Contributions are welcome! Please feel free to submit a Pull Request. For major changes, please open an issue first to discuss what you would like to change.

  1. Fork the repository
  2. Create your feature branch (git checkout -b feature/AmazingFeature)
  3. Commit your changes (git commit -m 'Add some AmazingFeature')
  4. Push to the branch (git push origin feature/AmazingFeature)
  5. Open a Pull Request

License

This project is licensed under the MIT License - see the LICENSE file for details.

Support

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