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Custom Jupyter notebook converter

Project description

Python Package for Converting IPython Jupyter Notebooks to Jekyll Readable (.md, .html)

This repository contains tools for converting .ipynb files to markdown and/or html so that they can be used by Jekyll (the static compiler that GitHub pages uses)

Notebook Conversion Workflow

This tool converts Jupyter Notebooks (.ipynb) into HTML pages suitable for use in a static Jekyll site, with front matter, navigation, and asset handling.

  1. Input

    • Jupyter Notebooks (.ipynb) located in a configured nb_read_path directory.
    • Configuration dictionary specifying read/write paths and asset subdirectories.
  2. Processing

    • Parses metadata: title, topics (from first cell).
    • Converts notebook to HTML using nbconvert.
    • Fixes relative links for images and assets (e.g., src="/images/foo.png" → Jekyll-compatible paths).
    • Adds YAML front matter for Jekyll layout integration.
    • Inserts Prev/Next navigation links between notebooks.
  3. Output

    • Writes processed notebooks as .html files to nb_write_path.
    • Copies any linked notebook assets (e.g., images) to the correct assets/ subfolder for Jekyll to use.

Installation

Install from PyPI using pip:

pip3 install nbconvertjkl

or clone the repository and install using:

# clone repo and activate virtualenv then install requirements
pip install -r requirements.txt

Usage

To launch interactive command line site build

python -m nbconvertjkl

Contributing

To contribute or work locally:

  1. Set up the environment

    # Clone the repo
    git clone https://github.com/yourusername/nbconvertjkl.git
    cd nbconvertjkl
    
    # Make sure you are using a compatible Python version
    python3 --version # if not, use pyenv to install the correct version
    pyenv install 3.6.15
    pyenv shell 3.6.15
    
    # (Optional) Create a virtualenv
    python3 -m venv .venv
    source .venv/bin/activate
    
    # Install dependencies and package in editable mode
    pip install -e .
    
  2. Run the tool locally

    # Main entry point
    python -m nbconvertjkl --config path/to/config.yml
    
  3. Run tests

    # Run tests
    pytest tests/
    
  4. (Optional) Build and check package locally Building is handles in the release-build job of the github action on release.

    But if you want to build locally for debugging or whatever, you can do so:

    # Build and check package
    python -m build # will gnerate source + wheel (dist/nbconvertjkl-0.1.0-py3-none-any.whl and dist/nbconvertjkl-0.1.0.tar.gz)
    python -m twine check dist/* # check the package metadata is valid before uploading to PyPI
    

    You can also test install from local build:

    pip uninstall nbconvertjkl # remove any previous version
    pip install dist/nbconvertjkl-0.1.0-py3-none-any.whl # install from wheel
    

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