def top_10_for_species(species):
species_key = BESTPICS_KEY % species.pk
pks = r.zrange(species_key, 0, 10, desc=True)
metrics = [
(r.zscore(species_key, pk) or 0, r.get(SEEN_KEY % pk) or 0, pk)
for pk in pks
]
# We award win percentage above all - if that's a tie, the one which has
# been in the most matches wins. If that's a tie, the one with the highest
# pk (i.e. the one that was most recently added) wins, to keep the photos
# on the site 'fresh'.
metrics.sort(reverse = True)
photos = Photo.objects.in_bulk(pks)
results = []
for score, matches, pk in metrics:
photo = photos[pk]
photo.bestpic_score = score * 100
photo.bestpic_matches = matches
results.append(photo)
return results
def photo(self):
photo = cache.get('photo-of-species:%s' % self.pk)
if photo is None:
best = r.zrange('bestpics-species:%s' % self.pk, 0, 0, desc=True)
if best:
from zoo.photos.models import Photo
try:
photo = Photo.objects.get(pk = best[0])
except Photo.DoesNotExist:
photo = 'no-photo'
else:
try:
photo = self.visible_photos().annotate(
num_faves = Count('favourited')
).select_related('created_by').order_by('-num_faves')[0]
except IndexError:
photo = 'no-photo'
cache.set('photo-of-species:%s' % self.pk, photo, 60 * 60 * 5)
if photo == 'no-photo':
return None
return photo
def top_3_photo_ids(self):
return r.zrange('bestpics-species:%s' % self.pk, 0, 2, desc=True)
