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Django app to create periodical/magazine websites"

Project description

=============================
django-periodicals
=============================

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A Django application for periodical/magazine websites with fully cross linked indices on Periodical, Issue, Article, Author, Article Series and Tags. Provides full text search of article titles and descriptions. A complete set of templates are provided. A sitemap is also dynamically generated.

Documentation
-------------

The full documentation is at http://django-periodicals.rtfd.org.


Features
--------

I developed ``django-periodicals`` to provide a searchable index for a printed/online magazine. I wanted all the meta data to be fully cross linked. So users can easily browse all articles for an author, all articles in an issue, all articles in a series/category, all articles tagged with a keyword and so forth.

I turned it in to a standalone application when I ported it to Django 1.5. Here are the features:

* Provides Django models for Periodicals, Issues, Articles, Authors, Tags and Links to external material.

* A full set of templates are provided including:

* Individual Periodical pages with yearly indices.

* Fully cross-linked indexes of Authors, Issues, Article Series, Tags, and Articles.

* Search across Article titles and descriptions.

* Tagging:

* Per article.

* Index pages per tag.

* Tag cloud.

* Moderated user added links of blog posts and other web resources to each Issue and Article. Spam protection by `reCAPTCHA <http://www.google.com/recaptcha>`_ and requiring approval by the admin. This feature can be disabled via setting.

* Django admin forms for data entry.

* Sitemap support.

* Support for Python 2.6, 2.7 and Django 1.5 and 1.6.

* Travis CI unit tests.

* See ``django-periodicals`` in action at `Googility <http://googility.com/periodicals/>`_.

Quickstart
----------

You can install from GitHub and try out a fully functional demo with data: :ref:`try-the-demo-project`.

Otherwise simply install from a package using ``pip`` which will install it's `PyPi <https://pypi.python.org/pypi>`_ packaged dependencies.

.. code-block :: bash

pip install django-periodicals

Install two packages manually to get newer versions than are currently in PyPi:

.. code-block :: bash

$ pip install -e git://github.com/saschwarz/django-recaptcha.git#egg=django-recaptcha

$ pip install -e git://github.com/nemith/django-tagging.git@dev-django1.5#egg=django_tagging-dev


Install a search backend for use by `Haystack <http://haystacksearch.org/>`_. To start install Whoosh:

.. code-block :: bash

$ pip install Whoosh

settings.py
+++++++++++

Add ``periodicals`` and the other applications it uses to ``INSTALLED_APPS``:

.. code-block :: python

INSTALLED_APPS = (
...
'haystack',
'tagging',
'captcha',
'periodicals',
)

Configure your Haystack backend. Here is an example using `Whoosh <https://bitbucket.org/mchaput/whoosh/wiki/Home>`_:

.. code-block :: python

HAYSTACK_CONNECTIONS = {
'default': {
'ENGINE': 'haystack.backends.whoosh_backend.WhooshEngine',
'PATH': os.path.join(os.path.abspath(os.path.dirname(__file__)), 'whoosh_periodicals_index'),
'STORAGE': 'file',
'POST_LIMIT': 128 * 1024 * 1024,
'INCLUDE_SPELLING': True,
'BATCH_SIZE': 100,
},
}

Configure your reCAPTCHA keys - only used when users add links to Articles or Issues:

.. code-block :: python

RECAPTCHA_PRIVATE_KEY = "your-recaptcha-private-key"
RECAPTCHA_PUBLIC_KEY = "your-recaptcha-public-key"


urls.py
+++++++

Choose a URL prefix at which to base the application:

.. code-block :: python

...
import periodicals

urlpatterns = patterns('',
...
url(r'^admin/', include(admin.site.urls)),
url(r'^periodicals/', include(periodicals.urls)),
)

Management Commands
+++++++++++++++++++

Create the application's database tables:

.. code-block :: bash

$ python manage.py syncdb




History
-------

0.8.0 (2013-12-14)
++++++++++++++++++

* Added tests and attained 100% code coverage.

* Added demo site to GitHub.

* Updated documentation

0.5.0 (2013-10-06)
++++++++++++++++++

* Migrated to Django 1.6 using class based views.

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