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vexy-mkdocs-output-as-input

PyPI version CI codecov License: MIT Python versions

Documentation: https://vexy.dev/vexy-mkdocs-output-as-input/

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

This also installs a CLI tool: 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')
      include_frontmatter: true # Include YAML frontmatter (default: true)
      preserve_links: false     # Convert absolute to relative links (default: false)
      verbose: false            # Enable verbose logging (default: false)

Advanced Examples

Extract multiple elements:

plugins:
  - output-as-input:
      html_element: [main, aside]  # Extract both main content and sidebar

Extract using CSS selectors:

plugins:
  - output-as-input:
      html_element: .content  # Extract element with class="content"

Options Explained

Option Type Default Description
stage_dir string "stage" Directory name for output files (relative to project root)
html_element string or list "main" CSS selector(s) for HTML elements to extract
target_tag string "article" HTML tag to use in the output (replaces extracted element's tag)
include_frontmatter boolean true Include YAML frontmatter in output files
preserve_links boolean false Convert absolute links to relative (e.g., /path → ./path)
minify boolean false Minify HTML output (remove whitespace)
prettify boolean false Prettify HTML output (add indentation)
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

# Automated setup (recommended)
./scripts/dev-setup.sh

# Or manual setup
make dev-setup

Common Development Tasks

# Run all tests and code quality checks
make test

# Build the package
make build

# Create a new patch release
make release

# Clean build artifacts
make clean

# View all available commands
make help

Running Tests

# Run all tests with script
./scripts/test.sh

# Or run individual components
pytest --cov=mkdocs_output_as_input --cov-report=html
ruff check src tests
mypy src

Build and Release

The project uses automated build and release workflows:

  1. Local Release Script:

    ./scripts/release.sh patch  # Creates v1.0.1 -> v1.0.2
    ./scripts/release.sh minor  # Creates v1.0.2 -> v1.1.0
    ./scripts/release.sh major  # Creates v1.1.0 -> v2.0.0
    
  2. GitHub Actions: Automatically triggered on git tags

    • Runs tests on multiple platforms (Linux, Windows, macOS)
    • Builds Python packages and standalone binaries
    • Publishes to PyPI using trusted publishing
    • Creates GitHub releases with artifacts
  3. Standalone Binaries: Available for download from releases

    • Linux: mkdocs-output-as-input-ubuntu-latest
    • Windows: mkdocs-output-as-input-windows-latest.exe
    • macOS: mkdocs-output-as-input-macos-latest

See BUILD_RELEASE.md for detailed documentation.

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

Metadata

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