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Draft.js sample content generated with Markov chains of Project Gutenberg books.

Project description

> Draft.js sample content generated with Markov chains of Project Gutenberg books.

This sample content is meant to be used while testing projects based on Draft.js, in particular Draftail and draftjs_exporter.

Using the sample content

In order to simplify using the samples across multiple projects, they are published as packages on npm and PyPI.

# JavaScript projects.
npm install markov_draftjs
# Python projects.
pip install markov_draftjs

Then, in JavaScript:

const contentStates = require('markov_draftjs');

And in Python:

from markov_draftjs import get_content_sample

content_states = get_content_sample()

The sample content is also available from GitHub, eg. with RawGit (warning - big file):


> Requirements: virtualenv, pyenv, twine

git clone
cd markov_draftjs/

# Install the git hooks.

# Install dependencies
nvm install
npm install

# Unarchive sample text.
cd corpora/
tar -xzvf *.tar.gz
cd ..

# Install the Python environment.
virtualenv .venv
source ./.venv/bin/activate
make init

# Install required Python versions
pyenv install --skip-existing 2.7.11
pyenv install --skip-existing 3.4.4
# Make required Python versions available globally.
pyenv global system 2.7.11 3.4.4

# Generate new sample content.
npm run start


  • Use irish-pub to confirm the content of the npm package.
  • Make a new branch for the release of the new version.
  • Update the CHANGELOG.
  • Update the version number in markov_draftjs/, and package.json, following semver.
  • Make a PR and squash merge it.
  • Back on master with the PR merged, use make publish (confirm, and enter your password) and npm publish.
  • Finally, go to GitHub and create a release and a tag for the new version.
  • Done!

Download files

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Files for markov-draftjs, version 0.1.1
Filename, size File type Python version Upload date Hashes
Filename, size markov_draftjs-0.1.1.tar.gz (508.7 kB) File type Source Python version None Upload date Hashes View

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