def recommend_in_sensitive(date):
sensitive_name = "recomment_" + str(date) + "_sensitive"
compute_name = "compute"
re_sen_set = r.hkeys(sensitive_name) # 敏感人物推荐
iden_in_set = r.hkeys(compute_name) # 已经入库用户
if not re_sen_set:
return [] # 那一天不存在数据
uid_list = list(set(re_sen_set) - set(iden_in_set))
sensitive = 1
work_date = ts2datetime(datetime2ts(date)-DAY)
if uid_list:
results = get_sensitive_user_detail(uid_list, work_date, sensitive)
else:
results = []
return results
def recommend_in_sensitive(date):
sensitive_name = "recomment_" + str(date) + "_sensitive"
compute_name = "compute"
re_sen_set = r.hkeys(sensitive_name) # 敏感人物推荐
iden_in_set = r.hkeys(compute_name) # 已经入库用户
if not re_sen_set:
return [] # 那一天不存在数据
uid_list = list(set(re_sen_set) - set(iden_in_set))
sensitive = 1
work_date = ts2datetime(datetime2ts(date) - DAY)
if uid_list:
results = get_sensitive_user_detail(uid_list, work_date, sensitive)
else:
results = []
return results
def recommend_in_top_influence(date):
influence_name = "recomment_" + date + "_influence"
identify_in_name = "compute"
re_inf_set = r.hkeys(influence_name)
iden_in_set = r.hkeys(identify_in_name) # 已经入库用户
if not re_inf_set:
return []
else:
uid_list = list(set(re_inf_set) - set(iden_in_set))
sensitive = 0
work_date = ts2datetime(datetime2ts(date) - DAY)
if uid_list:
results = get_sensitive_user_detail(uid_list, work_date, sensitive)
else:
results = []
return results
def recommend_in_top_influence(date):
influence_name = "recomment_" + date + "_influence"
identify_in_name = "compute"
re_inf_set = r.hkeys(influence_name)
iden_in_set = r.hkeys(identify_in_name) # 已经入库用户
if not re_inf_set:
return []
else:
uid_list = list(set(re_inf_set) - set(iden_in_set))
sensitive = 0
work_date = ts2datetime(datetime2ts(date)-DAY)
if uid_list:
results = get_sensitive_user_detail(uid_list, work_date, sensitive)
else:
results = []
return results
