def handle(self, *args, **kw):
for n, (user_id, rating, type, film_id, actor_id,
director_id) in enumerate(self.ratings()):
redis_intf.rate(user_id,
rating,
film_id=film_id,
actor_id=actor_id,
director_id=director_id,
type=type)
if not (n % 1000):
print n
def rate(user, value, film_id=None, actor_id=None, director_id=None, type=1, overwrite=True, check_if_exists=False, redis_only=False, skip_activity=False, **kw):
if not user.id and hasattr(user, 'store_to_db'):
# temporary anonymouse user, store to db on first rating
user.store_to_db()
assert user.id
if not redis_only or not settings.USE_REDIS:
if not settings.USE_REDIS:
ret = Rating.rate(user, value, film_id, actor_id, director_id, type, overwrite=overwrite, _skip_activity=skip_activity, **kw)
else:
defer(Rating.rate, user, value, film_id, actor_id, director_id, type, overwrite=overwrite, _skip_activity=skip_activity, **kw)
if settings.USE_REDIS:
ret = redis_intf.rate(user.id, value, film_id, actor_id, director_id, type, overwrite=overwrite, check_if_exists=check_if_exists)
profile = user.get_profile()
no_rec = profile.recommendations_status == profile.NO_RECOMMENDATIONS
if settings.RECOMMENDATIONS_ENGINE == 'film20.new_recommendations.recommendations_engine':
engine.compute_user_features(user)
if no_rec:
profile.recommendations_status = profile.FAST_RECOMMENDATIONS
profile.save()
else:
if no_rec and len(get_user_ratings(user.id)) >= settings.RECOMMENDATIONS_MIN_VOTES_USER:
engine.compute_user_features(user, True, initial=True)
profile.recommendations_status = profile.FAST_RECOMMENDATIONS
profile.save()
return ret
def handle(self, *args, **kw):
for n, (user_id, rating, type, film_id, actor_id, director_id) in enumerate(self.ratings()):
redis_intf.rate(user_id, rating, film_id=film_id, actor_id=actor_id, director_id=director_id, type=type)
if not (n % 1000):
print n
