def tags_by_url(url_str, userid):
check_url(url_str.lower())
url_key = ndb.Key(Url, url_str.lower())
q = House.query(ancestor=url_key).filter(House.userid != userid)
tags_dict = {}
for house in q.fetch():
for tag in house.tags:
tags_dict[tag] = tags_dict[tag]+1 if tag in tags_dict else 1
# возвращаем сортированный массив пар (метка,количество_использований)
return sorted(tags_dict.items(), key=lambda t: t[1], reverse=True)
def tags_by_url(url_str, userid):
check_url(url_str.lower())
url_key = ndb.Key(Url, url_str.lower())
q = House.query(ancestor=url_key).filter(House.userid != userid)
tags_dict = {}
for house in q.fetch():
for tag in house.tags:
tags_dict[tag] = tags_dict[tag] + 1 if tag in tags_dict else 1
# возвращаем сортированный массив пар (метка,количество_использований)
return sorted(tags_dict.items(), key=lambda t: t[1], reverse=True)
def houses_by_user(userid):
q = House.query(House.userid == userid)
return [house for house in q.fetch(100)]
def houses_by_user(userid):
q = House.query(House.userid == userid)
return [house for house in q.fetch(100)]
