def _recently_added(self, bl, user):
""" Filtering key point: recently added.
If more than self.NEXT_LIMIT books available, randomly pick some
Otherwise, pick enough ones by the updated time
@returns: a list of isbns
"""
now = datetime.datetime.now()
dt = datetime.timedelta(days=30)
one_month_ago = now - dt
month_list = bl.isbns_after(one_month_ago)
if len(month_list) >= self.NEXT_LIMIT:
# enough books for random
return random.sample(month_list, self.NEXT_LIMIT)
# otherwise, pick enough ones by the updated time
helper = SortHelper(user)
sorted_isbns = helper.by_updated_time(booklist.LIST_INTERESTED)
return sorted_isbns[:self.NEXT_LIMIT]
def _fetch_parse(self, user, list_type=None):
""" It may cause problems to fetch and then parse. Do it together..
@param list_type: which booklist to import.
"""
if list_type is None:
list_type = self.request.get('list_type')
if not list_type:
return
try:
datas = douban.get_book_list(user, list_type)
except utils.errors.ParseJsonError as err:
logging.error("ERROR while importing from Douban, user_key: " + user.key() +
" list_type: " + list_type)
logging.error(err)
self._log(err)
return
bl = BookList.get_or_create(user, list_type)
bl.start_importing(len(datas))
# also clear those in memcache
helper = SortHelper(user)
helper.clear(list_type)
for related in datas:
# also added into memcache in merge_into_datastore()
b = related.merge_into_datastore(user, update_book=False)
if b:
# when already such book there, b will be None
try:
url, datas = tongji.get_by_isbn(b.isbn)
b.set_tongji_info(url, datas)
except Exception as err:
logging.error("ERROR while saving TJ info, isbn: " + b.isbn)
logging.error(err)
self._log(err)
# after all, finish importing
bl = BookList.get_or_create(user, list_type)
bl.douban_amount = None
bl.put()
return
def _being_praised(self, user):
""" Filtering by calculating scores of each book. """
def _rating_weight(rating_score):
""" Return the relative weight of a rating score.
@param rating_score: In 10 points scale.
"""
if rating_score < 6.0:
base = -2
elif rating_score < 7.0:
base = -1
elif rating_score < 7.5:
base = 0
elif rating_score < 7.8:
base = 0.3
elif rating_score < 8.0:
base = 0.6
elif rating_score < 8.3:
base = 0.9
elif rating_score < 8.5:
base = 1.2
elif rating_score < 8.8:
base = 1.5
elif rating_score < 9.0:
base = 1.8
else:
base = 2
return base + random.random()
def _voted_weight(amount):
""" @returns: the relative weight of rated_amount.
Generally, the larger it is, the more it's rating can present.
"""
if amount <= 0:
base = -2
elif amount < 64:
base = -1
else:
# too many is also useless
amount = max(amount, 10000)
base = log10(amount)
return base + random.random()
def _pages_weight(pages):
""" @returns: the relative weight of pages of a book.
Generally, if pages is larger than a threshhold, it become bad.
"""
if pages > self.PAGE_THRESHHOLD:
return -1
else:
return 1
helper = SortHelper(user)
now = datetime.datetime.now()
dt = datetime.timedelta(days=30)
one_month_ago = now - dt
datas = helper.all(booklist.LIST_DONE)
consider_pages = False
for d in sorted(datas, key=lambda sd: sd.updated_time, reverse=True):
if d.updated_time < one_month_ago:
break
if d.pages > self.PAGE_THRESHHOLD:
consider_pages = True
break
tag_helper = TagHelper(user)
week_goals = tag_helper.isbns('thisweek')
month_goals = tag_helper.isbns('thismonth')
def _calculate(data):
""" Calculate the score of that data.
@param consider_pages: whether to take pages into account. Default is False.
"""
r = _rating_weight(data.public_rating)
v = _voted_weight(data.rated_amount)
score = r * v
if consider_pages:
score += _pages_weight(data.pages)
if data.isbn in week_goals or data.isbn in month_goals:
score += 16 * random.random()
return score
datas = helper.all(booklist.LIST_INTERESTED)
sorted_datas = sorted(datas, key=_calculate, reverse=True)
return [d.isbn for d in sorted_datas[:self.NEXT_LIMIT]]
