def _load(isbn):
""" Loading from datastore. """
return BookRelated.get_by_user_isbn(user, isbn,
load_booklist_related=False,
load_rating=False,
load_tags=False,
load_comment=False)
def _prepare_next(self, ctx, user, bl):
""" Generate the recommendation results (at most 3) for reading next.
@param ctx: the {} object to fill and render onto page.
@param user: the corresponding user.
@param bl: the Interested list (not empty).
"""
r = random.random()
if r <= 0.15:
# 15% chances to randomly pick three...
ctx['reason'] = "randomly picked"
result_isbns = self._all_random(bl)
elif r > 0.15 and r <= 0.3:
# 15% chances to recommend books recently added as interested
ctx['reason'] = "recently added"
result_isbns = self._recently_added(bl, user)
else:
# 70% chances to calculate each book's score and recommend the highest ones
ctx['reason'] = "praised by others"
result_isbns = self._being_praised(user)
raw_src = [BookRelated.get_by_user_isbn(user, isbn, load_comment=False) for isbn in result_isbns]
# put those in TJ library first
in_tj = []
not_in_tj = []
for src in raw_src:
if src.book.is_tongji_linked():
in_tj.append(src)
else:
not_in_tj.append(src)
ctx['next_books'] = in_tj + not_in_tj
ctx['list_amount'] = bl.size()
ctx['picked_amount'] = len(ctx['next_books'])
return