Source code for mezzanine.generic.templatetags.keyword_tags

from __future__ import unicode_literals
from future.builtins import int, round

from django.contrib.contenttypes.models import ContentType
from django.db.models import Model, Count

from mezzanine import template
from mezzanine.conf import settings
from mezzanine.generic.models import AssignedKeyword, Keyword

register = template.Library()

[docs]def keywords_for(*args): """ Return a list of ``Keyword`` objects for the given model instance or a model class. In the case of a model class, retrieve all keywords for all instances of the model and apply a ``weight`` attribute that can be used to create a tag cloud. """ # Handle a model instance. if isinstance(args[0], Model): obj = args[0] if hasattr(obj, "get_content_model"): obj = obj.get_content_model() or obj keywords_name = obj.get_keywordsfield_name() keywords_queryset = getattr(obj, keywords_name).all() # Keywords may have been prefetched already. If not, we # need select_related for the actual keywords. prefetched = getattr(obj, "_prefetched_objects_cache", {}) if keywords_name not in prefetched: keywords_queryset = keywords_queryset.select_related("keyword") return [assigned.keyword for assigned in keywords_queryset] # Handle a model class. try: app_label, model = args[0].split(".", 1) except ValueError: return [] content_type = ContentType.objects.get(app_label=app_label, model=model) assigned = AssignedKeyword.objects.filter(content_type=content_type) keywords = Keyword.objects.filter(assignments__in=assigned) keywords = keywords.annotate(item_count=Count("assignments")) if not keywords: return [] counts = [keyword.item_count for keyword in keywords] min_count, max_count = min(counts), max(counts) factor = (settings.TAG_CLOUD_SIZES - 1.) if min_count != max_count: factor /= (max_count - min_count) for kywd in keywords: kywd.weight = int(round((kywd.item_count - min_count) * factor)) + 1 return keywords