跟新ctr计算文件

ctr.py

 import pandas as pd
 import pymysql
+from datetime import datetime
+from datetime import timedelta
 
-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 = tuple(set(a))
-
+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 = eval(df.loc[0,"list"])
+print(len(pre_list))
 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 distinct device_id from data_feed_click2 \