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Convert doi:10.xxxxx/xxxx to nice bibliographic metadata

Project Description
# Document Object Identifiers and Python and Markdown, together!

Type journal article DOIs, and have them automagically converted into a beautiful bibliography.

[![PyPI version](](

A Markdown extension that looks through your text for things like `doi:10.1234/j.banana.5678`,
looks up the metadata on the crossref API and outputs text according to your requirements

Add `'markdown_doi'` to your Markdown call and watch the magic unfold:

>>> from markdown import Markdown

>>> markdown = Markdown(extensions=['markdown_doi']
>>> markdown.convert('doi:10.1016/j.applanim.2010.02.004')
<p><span class="doi"><a href="">Are cows more likely to lie down the longer they stand?</a> <span class="doi-year">(2010)</span></span></p>

You can enable the caching if for example you are using Pelican and constantly regenerating the same files

>>> markdown = Markdown(extensions=['markdown_doi(cache_file=.doi_cache)']

The templating function takes the metadata Dict from the
message key of [the JSON API response](
and returns a `markdown.util.etree.ElementTree`. See the default `template_title_link_year` function.

from markdown_doi import makeExtension as makeDoiExtension

def templater(metadata, doi_pattern):
el = markdown.util.etree.Element("span")
el.text = '%(given)s %(family)s' % metadata['author'][0]
return el

ext = makeDoiExtension(templater=templater)
md = markdown.Markdown(extensions=[ext])
html = md.convert('hello 10.1016/j.applanim.2010.02.004')
assert html == 'hello <p><span>Bert J. Tolkamp</span></p>'

## Options
| Option | Type | Default |Description |
| templater | (Dict, LinkPattern) -> etree.ElementTree | None | Function which renders the metadata as an element tree |
| cache_file | str | '' | File name that can store a cache of the DOIs looked up |
| cache | dict | None | Instead, you can pass a map from DOI to metadata dict as the cache rather than a file name |

## Installation
>From Github:

git clone
pip install -e ./markdown_doi

>From Pypi:

pip install markdown_doi

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File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
markdown_doi-1.0.4-py3-none-any.whl (6.8 kB) Copy SHA256 Checksum SHA256 py3 Wheel Feb 9, 2017
markdown_doi-1.0.4.tar.gz (17.0 kB) Copy SHA256 Checksum SHA256 Source Feb 9, 2017

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