python_files/cppc_python脚本/每日数据爬取v1/美团(分时竞价数据).py

# Author:Clown
# -*- codeing = utf-8 -*-
# @Time :2021/4/14 12:07
# @File: 美团曝光(新).py






from time import sleep
import requests
import csv
import random
import xlrd
import os
import sys
from datetime import datetime,timedelta
import json
import pymysql

def linkTomySql(host, passwd, db_name, port):
    '''连接至数据库返回【db】,v2新增local_infile=1 打开文件导入权限'''
    try:
        # 本地连接为：localhost  服务器连接为：124.222.188.59
        db = pymysql.connect (
            host=host, user="root",
            passwd=passwd,
            db=db_name,
            charset='utf8mb4',
            local_infile=1,
            port=port)
        # print ('\nconnect to mysql server 成功')
        # print ('---------------------------------------')

    except:
        print ("\ncould not connect to mysql server")
        db = "连接失败"
    return db


def read_key_value_pair(db, brand_name, wm_plate, owner):
    '''按条件读取，数据库中all_key_table表里的key_value_pair字段中的值，以键值对的形式输出
       db:数据库，
       brand_name：品牌名，
       wm_plate:外卖平台MEITUAN或ELEME，
       owner:账号权限all或one
    '''
    cursor = db.cursor ()
    sql = f'SELECT key_value_pair FROM all_key_table WHERE brand_name = "{brand_name}" AND wm_plate = "{wm_plate}" AND owner = "{owner}";'
    cursor.execute (sql)
    pair = json.loads (cursor.fetchall ()[0][0])
    return pair


def get_shops_info_to_list(db, brand_name, wm_plate, key_name):
    '''获取门店信息表【shops_info_to_list】中的信息，
    并返回表单shops_info_df【shop_id，shop_name，update_datetime，info_for_script】
    db：数据库信息
    brand_name：品牌
    wm_plate：外卖平台
    key_name：关键信息字段名，如无填‘’，如有填对应键值对的key
    '''
    cursor = db.cursor ()
    if key_name == '':
        sql = f'SELECT shop_id,shop_name,update_datetime FROM shops_info_for_script WHERE brand_name = "{brand_name}" AND wm_plate = "{wm_plate}";'
        cursor.execute (sql)
        shops_info = cursor.fetchall ()
        shops_info_df = []
        for shop_info in shops_info:
            shop_info_dict = {'shop_id': shop_info[0],
                              'shop_name': shop_info[1]}
            shops_info_df.append (shop_info_dict)
        return shops_info_df
    else:
        sql = f'SELECT shop_id,shop_name,update_datetime,info_for_script -> "$.{key_name}" FROM shops_info_for_script WHERE brand_name = "{brand_name}" AND wm_plate = "{wm_plate}";'
        cursor.execute (sql)
        shops_info = cursor.fetchall ()
        shops_info_df = []
        for shop_info in shops_info:
            shop_info_dict = {'shop_id': shop_info[0],
                              'shop_name': shop_info[1],
                              'update_datetime': shop_info[2],
                              f'{key_name}': shop_info[3]}
            shops_info_df.append (shop_info_dict)
        return shops_info_df


if __name__ == '__main__':

    # start_time = time.time()
    host = '124.222.188.59'
    passwd = '111...Clown'
    db_name = 'zuzu_data'
    port = 63306
    db = linkTomySql(host, passwd, db_name, port)
    brand_name = '浆小白'
    owner = 'all'
    keys_dict = {'elm':'',
                 'elm_shops':'',
                 'mt':'',
                 'mt_shops':''}
    keys_dict['elm'] = read_key_value_pair(db, brand_name, 'ELEME', owner)
    keys_dict['elm_shops'] = get_shops_info_to_list(db,brand_name,'ELEME','')
    keys_dict['mt'] = read_key_value_pair (db, brand_name, 'MEITUAN', owner)
    keys_dict['mt_shops'] = get_shops_info_to_list (db, brand_name, 'MEITUAN', '')

    try:

        token = keys_dict['mt']['data']['session']['token']
        acctId = keys_dict['mt']['data']['session']['acctId']
        mt_shops = keys_dict['mt_shops']

        script_name = os.path.basename(sys.argv[0])

        beginTime = (datetime.today() + timedelta(days=-1)).strftime('%Y-%m-%d') #2022-06-23
        endTime = (datetime.today() + timedelta(days=-1)).strftime('%Y-%m-%d') #2022-06-23
        beginTime_int =int((datetime.today() + timedelta(days=-1)).strftime('%Y%m%d')) #20220623
        endTime_int = int((datetime.today() + timedelta(days=-1)).strftime('%Y%m%d')) #20220623


        title = ["门店id", "时段", "点击次数", "时段竞价花费", "单次点击花费", "曝光次数", "点击率%", "店名", "数据日期"]

        with open("F:/cppc/cppc_数据表/3每日爬虫数据/美团分时竞价数据/%s美团分时竞价数据.csv" % str(beginTime_int), 'a', newline='',
                  encoding="utf-8-sig") as t:  # encoding= "utf-8"
            writer = csv.writer(t)  # 这一步是创建一个csv的写入
            writer.writerow(title)  # 写入标签
            for shop in mt_shops:
                shop_id = shop['shop_id']
                shop_name = shop['shop_name']
                try:

                    sleep(random.uniform(1, 2))
                    url = "https://waimaieapp.meituan.com/ad/v3/statistics/cpc/today/info?acctId=%s"%str(acctId)+"&wmPoiId=%s" %str(shop_id)+"&token=%s&platform=0"%str(token)
                    resp =requests.get(url)
                    data = resp.json()
                    data_json = data['data']['yesterday']#昨日数据
                    for list in data_json:
                        clickCount = list['clickCount']#点击次数
                        cost = list['cost']#时段竞价花费
                        avgPrice = list['avgPrice']#单次点击花费
                        showCount = list['showCount']#曝光次数
                        clickRate = list['clickRate']#点击率%
                        time = list['time']#时段
                        list_data = [shop_id,time,clickCount,cost,avgPrice,showCount,clickRate,shop_name,beginTime]
                        writer.writerow(list_data)  # 写入样本数据
                    print(script_name,shop_id,shop_name,'input')

                except:
                    list_data = [shop_id, "error", "error", "error", "error", "error", "error", shop_name,beginTime]
                    writer.writerow(list_data)  # 写入样本数据
                    print(script_name,shop_id,shop_name,'error')

    except Exception as e:
        print(e)
'''
workbook = xlrd.open_workbook(r'F:/cppc/cppc_数据表/门店信息表.xlsx')
table = workbook.sheet_by_name('美团')
id_data = table.col_values(3,10)#第4列第11行
row = 9#行号
day = int(table.cell_value(0, 1))#数字日期
day_data = table.cell_value(1, 1)#数据日期
token = table.cell_value(2, 1)#密钥
print(token)
for i in id_data:
  row += 1
  cell = table.cell_value(row, 4)  # 第row行第5列
  try:
      n = int(i)
      sleep(random.uniform(1, 2))
      url = "https://waimaieapp.meituan.com/ad/v3/statistics/cpc/today/info?acctId=93908152&wmPoiId=%s" %str(n)+"&token=%s&platform=0"%str(token)
      resp =requests.get(url)
      data = resp.json()
      data_json = data['data']['yesterday']#昨日数据
      for list in data_json:
          clickCount = list['clickCount']#点击次数
          cost = list['cost']#时段竞价花费
          avgPrice = list['avgPrice']#单次点击花费
          showCount = list['showCount']#曝光次数
          clickRate = list['clickRate']#点击率%
          time = list['time']#时段
          list_data = [[n,time,clickCount,cost,avgPrice,showCount,clickRate,cell,day_data]]
          title = ["门店id","时段","点击次数","时段竞价花费","单次点击花费","曝光次数","点击率%", "店名","数据日期"]

          with open("F:/cppc/cppc_数据表/3每日爬虫数据/美团分时竞价数据/%s美团分时竞价数据.csv"%str(day), 'a', newline='', encoding="utf-8-sig") as t:  # encoding= "utf-8"
              writer = csv.writer(t)  # 这一步是创建一个csv的写入
              writer.writerow(title)  # 写入标签
              writer.writerows(list_data)  # 写入样本数据
      print(n, "第%s行"%str(row+1),'inputing')
  except:
          list_data = [[n, "error", "error", "error", "error", "error", "error", cell,day_data]]
          title = ["门店id", "时段", "点击次数", "时段竞价花费", "单次点击花费", "曝光次数", "点击率%", "店名","数据日期"]

          with open("F:/cppc/cppc_数据表/3每日爬虫数据/美团分时竞价数据/%s美团分时竞价数据.csv"%str(day), 'a', newline='',
                    encoding="utf-8-sig") as t:  # encoding= "utf-8"
              writer = csv.writer(t)  # 这一步是创建一个csv的写入
              writer.writerow(title)  # 写入标签
              writer.writerows(list_data)  # 写入样本数据
          print(n,"第%s行"%str(row+1),'error')
'''