def rec_read_user_topic_score_incr(user_id, tag_id, score=1, tag_score=None):
key = REDIS_REC_USER_TAG%user_id
if score == inf:
score_list = redis.zrevrange(key, 0, 0, True, int)
if score_list:
score = max(1, score_list[0][1])
else:
score = 1
redis.zadd(key, tag_id, score)
elif score == ninf:
redis.zrem(key, tag_id)
else:
redis.zincrby(key, tag_id, score)
if tag_score is None:
tag_score = score
redis.zincrby(REDIS_REC_TAG, tag_id, tag_score)
# zrank < REDIS_REC_USER_TAG_LIMIT的时候
# 并且不在读完的redis时候 , 进入候选的推荐主题
if redis.zrevrank(key, tag_id) < REDIS_REC_USER_TAG_LIMIT :
if not redis.sismember(REDIS_REC_TAG_USER_IS_EMPTY%tag_id, user_id):
_rec_topic_new_by_user_id_topic_id_score(user_id, tag_id)
def is_spammer(user_id):
return redis.sismember(SPAMMER_REDIS_KEY, user_id)
def is_spammer(user_id):
return redis.sismember(SPAMMER_REDIS_KEY, user_id)