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# -*- coding: UTF-8 -*-
import pymysql
import datetime
import pandas as pd
DIRECTORY_PATH="/data2/ffm/"
def get_yesterday_date():
#自动获取昨天的日期,如"2018-08-08"
"""
:rtype : str
"""
today = datetime.date.today()
yesterday = today - datetime.timedelta(days=1)
yesterday = yesterday.strftime("%Y-%m-%d")
print(yesterday)
return yesterday
#today = datetime.date.today().strftime("%Y%m%d")
#return today
def get_data():
conn2db = pymysql.connect(host='10.66.157.22', port=4000, user='root', passwd='3SYz54LS9#^9sBvC', db='eagle')
cursor = conn2db.cursor()
sql = "select device_id from eagle.ffm_diary_queue where device_id regexp '[5|6]$'"
cursor.execute(sql)
result = cursor.fetchall()
device_id = tuple(pd.DataFrame(list(result))[0].values.tolist())
cursor.close()
return device_id
def ctr(date):
device_id = get_data()
sql_click = "select count(cid) from data_feed_click " \
"where cid_type = 'diary' " \
"and stat_date = '{}' and device_id in {};".format(date,device_id)
db = pymysql.connect(host='10.66.157.22', port=4000, user='root', passwd='3SYz54LS9#^9sBvC', db='jerry_prod')
cursor = db.cursor()
cursor.execute(sql_click)
click = cursor.fetchone()[0]
print("点击数："+str(click))
sql_exp = "select count(cid) from data_feed_exposure " \
"where cid_type = 'diary' and stat_date = '{}' and " \
"device_id in {}".format(date,device_id)
cursor.execute(sql_exp)
exp = cursor.fetchone()[0]
print("曝光数："+str(exp))
if exp != 0:
print("点击率："+str(click/exp))
return click,exp,click/exp
def rate2file():
output_path = DIRECTORY_PATH + "ffm_ctr.csv"
with open(output_path,'a+') as f:
line = get_yesterday_date().replace('-', '')+','+str(temp_data[0])+','+str(temp_data[1])+','+str(temp_data[2])+'\n'
f.write(line)
if __name__ == "__main__":
#ctr(date)
date = get_yesterday_date()
temp_data = ctr(date)
rate2file()