mongo 取随机100条数据写入Excel

 

Python 读取Mongo取随机100条数据写入Excel

 

# 随机100人获取 关卡数、现金账户、金币账户
from models import UserDayStat, GameUser, UserInfo

import xlwt

book = xlwt.Workbook()


def write_xls(data, sheet_name, excel_name, title_list):
    global book
    sheet = book.add_sheet(sheet_name)  # 添加一个sheet页
    # 写入标题
    for i, v in enumerate(title_list):
        sheet.write(0, i, v)

    row = 0
    for stu in data:
        col = 1  # 从第二行写入 第一行为标题
        for s in stu:  # 再循环里面list的值，每一列
            sheet.write(col, row, s)
            col += 1
        row += 1
    book.save("{}.xls".format(excel_name))  # 保存到当前目录下
    return book


if __name__ == '__main__':
    device_id_list = []
    pipeline = [
        {'$match': {'date': {'$gte': "2019-12-20", '$lte': "2019-12-29"}}},
        {'$project': {'_id': 0, 'device_id': 1}},
        {'$sample': {'size': 100}}
    ]
    # device_id 列表
    userdaystat = UserDayStat.objects().aggregate(*pipeline)
    for user in userdaystat:
        device_id_list.append(user.get("device_id"))

    # 关卡列表
    guanka_list = []
    for divice_id in device_id_list:
        gameuser = GameUser.objects.get(device_id=divice_id)
        guanka_list.append(gameuser.game_level)

    # 金币账户&&现金账户列表
    coin_balance_list = []
    cash_list = []
    for divice_id in device_id_list:
        userinfo = UserInfo.objects.get(device_id=divice_id)
        coin_balance_list.append(userinfo.cash)
        cash_list.append(userinfo.coin_balance)

    all_data = []
    all_data.append(device_id_list)
    all_data.append(guanka_list)
    all_data.append(coin_balance_list)
    all_data.append(cash_list)
    title_list = ["device_id", "关卡数", "现金账户", "金币账户"]
    write_xls(data=all_data, sheet_name='随机1100人', excel_name="随人b", title_list=title_list)