ffm_get_data.py

# -*- coding: UTF-8 -*-
import pymysql
import datetime
import pandas as pd

DIRECTORY_PATH="/data2/ffm/"


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()
    df = pd.DataFrame(list(result))
    df.to_csv("/data2/ffm/10.3-10.9device_id.csv",index=None)
    device_id = tuple(df[0].values.tolist())
    cursor.close()
    return device_id


def ctr():
    device_id = get_data()
    print("点击数：" + str(len(device_id)))
    db = pymysql.connect(host='10.66.157.22', port=4000, user='root', passwd='3SYz54LS9#^9sBvC', db='jerry_prod')
    cursor = db.cursor()
    a = "2018-10-0"
    for i in range(3, 10):


    sql_exp = "select count(cid) from data_feed_exposure " \
              "where cid_type = 'diary' and stat_date <= '2018-10-09' and stat_date >= '2018-10-03' and " \
              "device_id in {}".format(device_id)
    cursor.execute(sql_exp)
    exp = cursor.fetchone()[0]
    print("曝光数："+str(exp))
    if exp != 0:
        print("点击率："+str(len(device_id)/exp))


if __name__ == "__main__":
    ctr()