website/www/conservancy/apps/blog/urls.py

65 lines
2.2 KiB
Python

from django.conf.urls.defaults import *
from models import Entry, EntryTag # relative import
from views import last_name # relative import
from sflc.apps.staff.models import Person
from datetime import datetime
extra_context = {}
info_dict = {
'queryset': Entry.objects.all(),
'date_field': 'pub_date',
'extra_context': extra_context,
}
urlpatterns = patterns('django.views.generic.date_based',
(r'^(?P<year>\d{4})/(?P<month>[a-z]{3})/(?P<day>\w{1,2})/(?P<slug>[-\w]+)/$', 'object_detail', dict(info_dict, slug_field='slug')),
(r'^(?P<year>\d{4})/(?P<month>[a-z]{3})/(?P<day>\w{1,2})/$', 'archive_day', info_dict),
(r'^(?P<year>\d{4})/(?P<month>[a-z]{3})/$', 'archive_month', info_dict),
(r'^(?P<year>\d{4})/$', 'archive_year', dict(info_dict,
make_object_list=True)),
)
urlpatterns += patterns('sflc.apps.blog.views',
(r'^/?$', 'custom_index', dict(info_dict, paginate_by=10)),
(r'^query/$', 'query'),
)
# Code to display authors and tags on each blog page
def all_tags_by_use_amount():
"""Returns all tags with an added 'cnt' attribute (how many times used)
Also sorts the tags so most-used tags appear first.
"""
# tally use amount
retval = []
current = None
for obj in EntryTag.objects.filter(entry__pub_date__lte=datetime.now(),
entry__isnull=False).order_by('label'):
if current is not None and obj.id == current.id:
current.cnt += 1
else:
if current is not None:
retval.append(current)
current = obj
current.cnt = 1
if current is not None:
retval.append(current)
# sort and return
retval.sort(key=lambda x: -x.cnt)
return retval
def all_authors():
return sorted(Person.objects.filter(entry__isnull=False).distinct(),
key=last_name)
# The functions are passed to the context uncalled so they will be
# called for each web request. If we want to only make these database
# queries a single time when a web server process begins, call both
# functions below (i.e. make both lines below end in '()')
extra_context['all_authors'] = all_authors
extra_context['all_tags'] = all_tags_by_use_amount