def _get_hot_slice_by_threads(rlbb, nav_slice):
ops_and_scores = rlbb.with_scores[nav_slice] if rlbb else []
ops = [Comment(id=id) for (id, score) in ops_and_scores]
max_from_thread = 3
# Got the OPs, now I need to bulk fetch the top replies.
pipeline = redis.pipeline()
for comment in ops:
pipeline.get(comment.redis_score.key)
for comment in ops:
pipeline.zrevrange(comment.popular_replies.key, 0, max_from_thread - 1, withscores=True)
results = pipeline.execute()
op_scores, pop_reply_lists = results[:len(ops)], results[len(ops):]
ids = []
if ops_and_scores:
# Lowest score sets the threshold, but replies get a "boost" factor
cutoff = ops_and_scores[-1][1] / Config.get('reply_boost', 1)
for op, op_score, pop_replies in zip(ops, op_scores, pop_reply_lists):
items = [(int(id), float(score or 0)) for (id,score) in [(op.id, op_score)] + pop_replies]
items.sort(key=lambda (id, score): -score)
ids += [id for (id, score) in items if score >= cutoff][:max_from_thread]
return ids
def create_comment(**kwargs):
kwargs['author'] = kwargs.get('author', create_user())
kwargs['timestamp'] = kwargs.get('timestamp', Services.time.time())
kwargs['anonymous'] = kwargs.get('anonymous', False)
if kwargs.get('parent_comment') is None:
kwargs['title'] = kwargs.get('title', 'Sample title.')
comment = Comment(**kwargs)
comment.save()
return comment
