def _is_tag(self, text, user):
""" Determine whether the user's input is a valid isbn number. """
if not text:
# there must be something
return False
if ' ' in text:
# can not be multiple tags
return False
helper = TagHelper(user)
if helper.isbns(text):
return True
else:
return False
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]]