本文整理汇总了Python中film20.core.models.Film._rated_film_ids方法的典型用法代码示例。如果您正苦于以下问题：Python Film._rated_film_ids方法的具体用法？Python Film._rated_film_ids怎么用？Python Film._rated_film_ids使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类film20.core.models.Film的用法示例。
在下文中一共展示了Film._rated_film_ids方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: user_recommendations
# 需要导入模块: from film20.core.models import Film [as 别名]
# 或者: from film20.core.models.Film import _rated_film_ids [as 别名]
def user_recommendations(user, films, with_rated=False, order_by=None):
film_ids = [f.id for f in films]
if user and user.is_authenticated():
profile = user.get_profile()
basket = BasketItem.user_basket(user)
rated_ids = Film._rated_film_ids(user)
if profile.recommendations_status in (profile.NORMAL_RECOMMENDATIONS, profile.FAST_RECOMMENDATIONS):
recommendations = _user_film_recommendations(user, film_ids)
else:
recommendations = {}
for f in films:
r = recommendations.get(f.id)
b = basket.get(f.id)
f._rated = f.id in rated_ids
f._guess_rating = r or 0
f._on_wishlist = b and b[0] and (b[0] != BasketItem.NOT_INTERESTED) or False
f._on_shitlist = b and (b[0] == BasketItem.NOT_INTERESTED) or False
else:
for f in films:
f._rated = False
f._guess_rating = 0
f._on_wishlist = False
f._on_shitlist = False
test_with_rated = lambda f: with_rated or not f._rated
films = list(f for f in films if not f._on_shitlist and test_with_rated(f))
comparator = create_film_comparator(order_by)
return sorted(films, cmp=comparator)示例2: _get_recommendations
# 需要导入模块: from film20.core.models import Film [as 别名]
# 或者: from film20.core.models.Film import _rated_film_ids [as 别名]
def _get_recommendations(self):
self.films = set()
film_ids = []
for film_set in self.film_sets:
for f in film_set.values():
if not f in self.films and f.has_screenings(self.channel_ids, self.since):
self.films.add(f)
if f.film_id:
film_ids.append(f.film_id)
if self.user and self.user.is_authenticated():
profile = self.user.get_profile()
basket = BasketItem.user_basket(self.user)
rated_ids = Film._rated_film_ids(self.user)
if profile.recommendations_status in (profile.NORMAL_RECOMMENDATIONS, profile.FAST_RECOMMENDATIONS):
recommendations = recommendations_engine.compute_guess_score_for_films(self.user, film_ids)
else:
recommendations = {}
for f in self.films:
if not f.film_id:
continue
r = recommendations.get(f.film_id)
b = basket.get(f.film_id)
f._rated = f.film_id in rated_ids
f._guess_rating = r or 0
f._on_wishlist = b and b[0] and (b[0] != BasketItem.NOT_INTERESTED) or False
f._on_shitlist = b and (b[0] == BasketItem.NOT_INTERESTED) or False
test_with_rated = lambda f: self.with_rated or not f._rated
test_unmatched = lambda f: not self.without_unmatched or f.film_id
films = list(f for f in self.films if not f._on_shitlist and test_with_rated(f) and test_unmatched(f))
comparator = create_film_comparator(self.order_by)
return sorted(films, cmp=comparator)