{ "info": { "author": "Ben Caller", "author_email": "bcallergmai@l.com", "bugtrack_url": null, "classifiers": [ "Development Status :: 4 - Beta", "Environment :: Console", "Intended Audience :: Developers", "License :: OSI Approved :: GNU Affero General Public License v3", "Programming Language :: Python", "Programming Language :: Python :: 2", "Programming Language :: Python :: 2.7", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.2", "Programming Language :: Python :: 3.4", "Programming Language :: Python :: 3.5", "Programming Language :: Python :: 3.6", "Topic :: Internet :: WWW/HTTP :: Dynamic Content", "Topic :: Software Development :: Libraries :: Python Modules", "Topic :: Text Processing :: Filters", "Topic :: Text Processing :: Markup :: HTML" ], "description": "# Document Object Identifiers and Python and Markdown, together!\n\nType journal article DOIs, and have them automagically converted into a beautiful bibliography.\n\n[![travis](https://travis-ci.org/bcaller/markdown_doi.svg)](https://travis-ci.org/bcaller/markdown_doi)\n[![PyPI version](https://badge.fury.io/py/markdown_doi.svg)](https://badge.fury.io/py/markdown_doi)\n\nA Markdown extension that looks through your text for things like `doi:10.1234/j.banana.5678`,\nlooks up the metadata on the crossref API and outputs text according to your requirements\n\nAdd `'markdown_doi'` to your Markdown call and watch the magic unfold:\n\n```python\n>>> from markdown import Markdown\n\n>>> markdown = Markdown(extensions=['markdown_doi']\n>>> markdown.convert('doi:10.1016/j.applanim.2010.02.004')\n```\noutputs\n```html\n

Are cows more likely to lie down the longer they stand? (2010)

\n```\n\nYou can enable the caching if for example you are using Pelican and constantly regenerating the same files\n\n```python\n>>> markdown = Markdown(extensions=['markdown_doi(cache_file=.doi_cache)']\n```\n\nThe templating function takes the metadata Dict from the\nmessage key of [the JSON API response](https://api.crossref.org/works/10.1016/j.applanim.2010.02.004)\nand returns a `markdown.util.etree.ElementTree`. See the default `template_title_link_year` function.\n\n```python\nfrom markdown_doi import makeExtension as makeDoiExtension\n\ndef templater(metadata, doi_pattern):\n el = markdown.util.etree.Element(\"span\")\n el.text = '%(given)s %(family)s' % metadata['author'][0]\n return el\n\next = makeDoiExtension(templater=templater)\nmd = markdown.Markdown(extensions=[ext])\nhtml = md.convert('hello 10.1016/j.applanim.2010.02.004')\nassert html == 'hello

Bert J. Tolkamp

'\n```\n\n## Options\n| Option | Type | Default |Description |\n|-----------|------|---------|------------|\n| templater | (Dict, LinkPattern) -> etree.ElementTree | None | Function which renders the metadata as an element tree |\n| cache_file | str | '' | File name that can store a cache of the DOIs looked up |\n| cache | dict | None | Instead, you can pass a map from DOI to metadata dict as the cache rather than a file name |\n\n\n## Installation\n>From Github:\n\n```\ngit clone https://github.com/bcaller/markdown_doi.git\npip install -e ./markdown_doi\n```\n\n>From Pypi:\n\n```\npip install markdown_doi\n```\n\n\n", "description_content_type": "", "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/bcaller/markdown_doi", "keywords": "doi research journals markdown", "license": "AGPLv3", "maintainer": "", "maintainer_email": "", "name": "markdown-doi", "package_url": 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