import pandas as pd
import pymysql

df = pd.read_csv(r"/data2/models/2018-09-02predictTail6Unique.csv")
a = eval(df.loc[0,"list"])
a = list(map(lambda x:x[0],a))
print(len(a))
print(a[:2])
cf = pd.read_csv(r"/data2/models/nvwa-2018-09-02predictTail6Unique.csv")
b = eval(cf.loc[0,"list"])
print(len(b))
print(b[:2])
a.extend(b)
print("个数")
print(len(set(a)))
pre_list = list(set(a))
print(pre_list[:2])
stat_date = "2018-09-02"
cid_type = "diary"
db = pymysql.connect(host='10.66.157.22', port=4000, user='root', passwd='3SYz54LS9#^9sBvC', db='jerry_test')
sql = "select count(device_id) from data_feed_exposure2 \
      where stat_date='{}' \
      and cid_type='{}' \
      and device_id in {}".format(stat_date,cid_type,pre_list)
cursor = db.cursor()
print("开始获取")
cursor.execute(sql)
print("成功获取")
click = cursor.fetchall()[0][0]
print(click)

sql = "select count(device_id) from data_feed_exposure2 \
      where stat_date='{}' \
      and cid_type='{}' \
      and device_id in {}".format(stat_date,cid_type,pre_list)
cursor = db.cursor()
print("开始获取")
cursor.execute(sql)
exp = cursor.fetchall()[0][0]
print(exp)
print(click/exp)