GithubHelp home page GithubHelp logo

m2r's Introduction

M2R

PyPI PyPI version Documentation Build Status codecov


M2R converts a markdown file including reStructuredText (rst) markups to a valid rst format.

Why another converter?

I wanted to write sphinx document in markdown, since it's widely used now and easy to write code blocks and lists. However, converters using pandoc or recommonmark do not support many rst markups and sphinx extensions. For example, rst's reference link like see `ref`_ (this is very convenient in long document in which same link appears multiple times) will be converted to a code block in HTML like see <code>ref</code>_, which is not expected.

Features

  • Basic markdown and some extensions (see below)
    • inline/block-level raw html
    • fenced-code block
    • tables
    • footnotes ([^1])
  • Inline- and Block-level rst markups
    • single- and multi-line directives (.. directive::)
    • inline-roles (:code:`print(1)` ...)
    • ref-link (see `ref`_)
    • footnotes ([#fn]_)
    • math extension inspired by recommonmark
  • Sphinx extension
    • add markdown support for sphinx
    • mdinclude directive to include markdown from md or rst files
  • Pure python implementation
    • pandoc is not required

Installation

Python 2.7 or Python 3.4+ is required.

pip install m2r

Or,

python3 -m pip install m2r

Usage

Command Line

m2r command converts markdown file to rst format.

m2r your_document.md [your_document2.md ...]

Then you will find your_document.rst in the same directory.

Programmatic Use

Import m2r.convert function and call it with markdown text. Then it will return converted text.

from m2r import convert
rst = convert('# Title\n\nSentence.')
print(rst)
# Title
# =====
#
# Sentence.

Or, use parse_from_file function to load markdown file and obtain converted text.

from m2r import parse_from_file
output = parse_from_file('markdown_file.md')

This is an example of setup.py to write README in markdown, and publish it to PyPI as rst format.

readme_file = os.path.join(os.path.dirname(os.path.abspath(__file__)), 'README.md')
try:
    from m2r import parse_from_file
    readme = parse_from_file(readme_file)
except ImportError:
    # m2r may not be installed in user environment
    with open(readme_file) as f:
        readme = f.read()
setup(
    ...,
    long_description=readme,
    ...,
)

Sphinx Integration

In your conf.py, add the following lines.

extensions = [
    ...,
    'm2r',
]

# source_suffix = '.rst'
source_suffix = ['.rst', '.md']

Write index.md and run make html.

When m2r extension is enabled on sphinx and .md file is loaded, m2r converts to rst and pass to sphinx, not making new .rst file.

mdinclude directive

Like .. include:: file directive, .. mdinclude:: file directive inserts markdown file at the line.

Note: do not use .. include:: file directive to include markdown file even if in the markdown file, please use .. mdinclude:: file instead.

Restrictions

  • In the rst's directives, markdown is not available. Please write in rst.
  • Column alignment of tables is not supported. (rst does not support this feature)
  • Heading with overline-and-underline is not supported.
    • Heading with underline is OK

If you find any bug or unexpected behaviour, please report it to Issues.

Example

See example document and its source code.

I'm using m2r for writing user guide of WDOM. So you can see it as another example. Its HTML is here, and its source code is here.

Demo editor

Demo editor of m2r is available. If you are interested in m2r, please try it.

https://github.com/miyakogi/m2rdemo

Acknowledgement

m2r is written as an extension of mistune, which is highly extensible pure-python markdown parser. Without the mistune, I couldn't write this. Thank you!

Licence

MIT

m2r's People

Contributors

krfricke avatar miyakogi avatar neirbowj avatar nforro avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.