django-docutils, docutils (reStructuredText) support for Django
Documentation
The full documentation is at https://django-docutils.git-pull.com.
Quickstart
Install django-docutils:
pip install django-docutils
# if fetching favicons
pip install django-docutils[favicon]
# intersphinx support
pip install django-docutils[intersphinx]
# both
pip install django-docutils[favicon,intersphinx]Template filter
If you want to use the template filter, add it to your INSTALLED_APPS
in your settings file:
INSTALLED_APPS = [ # ... your default apps,
'django_docutils'
]Then in your template:
{% load django_docutils %}
{% filter restructuredtext %}
# hey
# how's it going
A. hows
B. it
C. going
D. today
**hi**
*hi*
{% endfilter %}Template engine (class-based view)
You can also use a class-based view to render restructuredtext.
If you want to use reStructuredText as a django template engine,
INSTALLED_APPS isn't required, instead you add this to your
TEMPLATES variable in your settings:
TEMPLATES = [ # .. your default engines
{
'NAME': 'docutils',
'BACKEND': 'django_docutils.engines.Docutils',
'DIRS': [],
'APP_DIRS': True,
}]Now django will be able to scan for .rst files and process them. In your view:
from django_docutils.views import DocutilsView
class HomeView(DocutilsView):
template_name = 'base.html'
rst_name = 'home.rst'Settings
BASED_LIB_RST = { # Optional, automatically maps roles, directives and transformers
'docutils': {
'raw_enabled': True,
'strip_comments': True,
'initial_header_level': 2,
},
'roles': {
'local': {
'gh': 'django_docutils.lib.roles.github.github_role',
'twitter': 'django_docutils.lib.roles.twitter.twitter_role',
'email': 'django_docutils.lib.roles.email.email_role',
}
},
'font_awesome': { # Transformer to inject <em class="<class>"></em>
'url_patterns': {
r'.*github.com.*': 'fab fa-github',
r'.*twitter.com.*': 'fab fa-twitter',
r'.*amzn.to.*': 'fab fa-amazon',
r'.*amazon.com.*': 'fab fa-amazon',
r'.*news.ycombinator.com*': 'fab fa-hacker-news',
r'.*leanpub.com.*': 'fab fa-leanpub',
r'.*python.org.*': 'fab fa-python',
r'.*pypi.org.*': 'fab fa-python',
r'.*djangoproject.com.*': 'fab fa-python',
r'.*wikipedia.org.*': 'fab fa-wikipedia',
r'((rtfd|readthedocs).)*$': 'fab fa-books',
r'^mailto:.*': 'fas fa-envelope',
r'((?!mywebsite.com|localhost).)*$': 'fas fa-external-link',
}
},
}
BASED_LIB_TEXT = { # Optional
'uncapitalized_word_filters': ['project.my_module.my_capitalization_fn']
}
BASED_ADS = { # If injecting ads
'AMAZON_AD_CODE': """
<script type="text/javascript">
amzn_assoc_placement = "adunit0";
amzn_assoc_search_bar = "true";
amzn_assoc_tracking_id = "mytracking-20";
amzn_assoc_search_bar_position = "bottom";
amzn_assoc_ad_mode = "search";
amzn_assoc_ad_type = "smart";
amzn_assoc_marketplace = "amazon";
amzn_assoc_region = "US";
amzn_assoc_title = "You may be interested in";
amzn_assoc_default_search_phrase = "{keyword}";
amzn_assoc_default_category = "All";
amzn_assoc_linkid = "6efef5538142e4a4031b04de66b6e804";
</script>
<script src="//z-na.amazon-adsystem.com/widgets/onejs?MarketPlace=US"></script>
""",
'AMAZON_AD_STRIP': (
'<script src="//z-na.amazon-adsystem.com/widgets/onejs?MarketPlace=US&'
'adInstanceId=521gc14d-d9f1-4691-8af2-a38de0d0cbad"></script>'
),
'GOOGLE_AD_CODE': """
<script async src="//pagead2.googlesyndication.com/pagead/js/adsbygoogle.js">
</script>
<ins class="adsbygoogle"
style="display:block; text-align:center;"
data-ad-layout="in-article"
data-ad-format="fluid"
data-ad-client="ca-pub-5555555555555555"
data-ad-slot="5555555555"></ins>
<script>
(adsbygoogle = window.adsbygoogle || []).push({});
</script>
""",
}