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


def get_yesterday_date():
    today = datetime.date.today()
    yesterday = today - datetime.timedelta(days=1)
    yesterday = yesterday.strftime("%Y-%m-%d")
    print(yesterday)
    return yesterday


def get_black_user():
    conn2db = pymysql.connect(host='10.66.157.22', port=4000, user='root', passwd='3SYz54LS9#^9sBvC', db='jerry_prod')
    cursor = conn2db.cursor()
    sql = "select distinct device_id from blacklist"
    cursor.execute(sql)
    result = cursor.fetchall()
    black_user = pd.DataFrame(list(result))[0].values.tolist()
    cursor.close()
    conn2db.close()
    return black_user


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 distinct device_id from ffm_diary_queue_temp where device_id regexp '[5|6]$'"
    cursor.execute(sql)
    result = cursor.fetchall()
    device = pd.DataFrame(list(result))[0].values.tolist()
    cursor.close()
    conn2db.close()

    device = tuple(set(device)-set(black))
    return device


def ctr_all():
    db = pymysql.connect(host='10.66.157.22', port=4000, user='root', passwd='3SYz54LS9#^9sBvC', db='jerry_prod')
    cursor = db.cursor()
    sql_active = "select distinct device_id from data_feed_exposure " \
                 "where cid_type = 'diary'" \
                 "and device_id regexp'[5|6]$' and stat_date = '{}';".format(date)
    cursor.execute(sql_active)
    result = cursor.fetchall()
    tail56 = pd.DataFrame(list(result))[0].values.tolist()
    tail56 = set(tail56)-set(black)
    print("当天尾号5或6活跃用户总数：")
    print(len(tail56))

    cover = len(tail56&set(device_id))
    print("当天尾号5或6活跃用户覆盖数：")
    print(cover)
    cover_percent = format(cover / len(tail56), ".6f")
    print("当天尾号5或6活跃用户覆盖率：")
    print(cover_percent)

    return len(tail56),cover,cover_percent


def ctr():
    sql_click = "select count(cid) from data_feed_click " \
              "where (cid_type = 'diary' or cid_type = 'diary_video') " \
                "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("实验用户点击数："+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("实验用户曝光数："+str(exp))
    print("实验用户点击率："+str(click/exp))

    return click,exp,format(click/exp,".6f")


def rate2file():
    output_path = DIRECTORY_PATH + "56ctr.csv"
    with open(output_path,'a+') as f:
        line = date.replace('-', '')+','+str(temp_data[0])+','+str(temp_data[1])+','+str(temp_data[2])+\
               ","+str(data[0])+","+str(data[1])+","+str(data[2])+'\n'
        f.write(line)


def get_time():
    db = pymysql.connect(host='172.16.40.158', port=4000, user='root', passwd='3SYz54LS9#^9sBvC', db='jerry_test')
    sql = "select dur_time from cost_time"
    cursor = db.cursor()
    cursor.execute(sql)
    result = cursor.fetchall()
    df = pd.DataFrame(list(result))
    db.close()
    return df


if __name__ == "__main__":
    db = pymysql.connect(host='172.16.40.158', port=4000, user='root', passwd='3SYz54LS9#^9sBvC', db='jerry_test')
    sql = "delete from esmm_train_data_dwell where stat_date >= '2019-07-28' limit 60000"
    cursor = db.cursor()
    for i in range(15):
        cursor.execute(sql)
        db.commit()



