Commit e3a940f0 authored by 张彦钊's avatar 张彦钊

计算尾号8的点击率

parent e80b6fec
......@@ -3,55 +3,89 @@ import pymysql
from datetime import datetime
from datetime import timedelta
path = "/data/models/"
now = datetime.now()
year = now.year
month = now.month
day = now.day
stat_date = datetime(year,month,day)
stat_date = (stat_date - timedelta(days=1)).strftime("%Y-%m-%d")
print(stat_date)
df = pd.read_csv(path+"{}predictTail6Unique.csv".format(stat_date))
pre_list = tuple(eval(df.loc[0,"list"]))
print(len(pre_list))
print(pre_list[:2])
cid_type = "diary"
db = pymysql.connect(host='10.66.157.22', port=4000, user='root', passwd='3SYz54LS9#^9sBvC', db='jerry_test')
sql = "select distinct device_id from data_feed_click2 \
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")
result = cursor.fetchall()
user = pd.DataFrame(list(result))[0].values.tolist()
user = tuple(user)
print("用户个数")
print(len(user))
sql = "select count(device_id) from data_feed_click2 \
where stat_date='{}' \
and cid_type='{}' \
and device_id in {}".format(stat_date,cid_type,user)
cursor = db.cursor()
print("开始获取")
cursor.execute(sql)
click = cursor.fetchall()[0][0]
print(click)
sql = "select count(device_id) from data_feed_exposure2 \
def get_tail8():
sql = "select distinct device_id from data_feed_click2 \
where stat_date='{}' \
and cid_type='{}' \
and device_id in {}".format(stat_date,cid_type,user)
cursor = db.cursor()
print("开始获取")
cursor.execute(sql)
exp = cursor.fetchall()[0][0]
print(exp)
print(click/exp)
and device_id regexp '8$';".format(stat_date,cid_type)
db = pymysql.connect(host='10.66.157.22', port=4000, user='root', passwd='3SYz54LS9#^9sBvC', db='jerry_test')
cursor = db.cursor()
print("开始获取")
cursor.execute(sql)
print("成功获取")
result = cursor.fetchall()
db.close()
user = pd.DataFrame(list(result))[0].values.tolist()
user = tuple(user)
print("尾号是8的用户个数")
print(len(user))
return user
def get_ctr(user_tuple):
sql = "select count(device_id) from data_feed_click2 \
where stat_date='{}' \
and cid_type='{}' \
and device_id in {}".format(stat_date, cid_type, user_tuple)
db = pymysql.connect(host='10.66.157.22', port=4000, user='root', passwd='3SYz54LS9#^9sBvC', db='jerry_test')
cursor = db.cursor()
print("开始获取")
cursor.execute(sql)
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, user_tuple)
cursor = db.cursor()
print("开始获取")
cursor.execute(sql)
exp = cursor.fetchall()[0][0]
db.close()
print(exp)
print(click / exp)
def get_tail6():
df = pd.read_csv(path+"{}predictTail6Unique.csv".format(stat_date))
pre_list = tuple(eval(df.loc[0,"list"]))
print(len(pre_list))
print(pre_list[:2])
db = pymysql.connect(host='10.66.157.22', port=4000, user='root', passwd='3SYz54LS9#^9sBvC', db='jerry_test')
sql = "select distinct device_id from data_feed_click2 \
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")
result = cursor.fetchall()
db.close()
user = pd.DataFrame(list(result))[0].values.tolist()
user = tuple(user)
print("用户个数")
print(len(user))
return user
if __name__ == "__main__":
path = "/data/models/"
cid_type = "diary"
now = datetime.now()
year = now.year
month = now.month
day = now.day
stat_date = datetime(year, month, day)
stat_date = (stat_date - timedelta(days=1)).strftime("%Y-%m-%d")
print(stat_date)
tail6 = get_tail6()
get_ctr(tail6)
tail8 = get_tail8()
get_ctr(tail8)
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