请问如何获取ETF的行情数据？ about efinance HOT 7 OPEN

from urllib.parse import urlencode
import pandas as pd
import requests


def gen_secid(rawcode: str) -> str:
    '''
    生成东方财富专用的 secid

    Parameters
    ----------
    rawcode : 6 位代码

    Return
    ------
    str: 指定格式的字符串

    '''
    # 沪市指数
    if rawcode[:3] == '000':
        return f'1.{rawcode}'
    # 深证指数
    if rawcode[:3] == '399':
        return f'0.{rawcode}'
    # 沪市股票
    if rawcode[0] != '6':
        return f'0.{rawcode}'
    # 深市股票
    return f'1.{rawcode}'


def get_k_history(code: str, beg: str = '16000101', end: str = '20500101', klt: int = 1, fqt: int = 1) -> pd.DataFrame:
    '''
    功能获取k线数据

    Parameters
    ----------
    code : 6 位代码
    beg: 开始日期 例如 20200101
    end: 结束日期 例如 20200201
    klt: k线间距 默认为 101 即日k
        klt:1 1 分钟
        klt:5 5 分钟
        klt:101 日
        klt:102 周
    fqt: 复权方式
        不复权 : 0
        前复权 : 1
        后复权 : 2 
    Return
    ------
    DateFrame : 包含股票k线数据
    '''
    EastmoneyKlines = {
        'f51': '日期',
        'f52': '开盘',
        'f53': '收盘',
        'f54': '最高',
        'f55': '最低',
        'f56': '成交量',
        'f57': '成交额',
        'f58': '振幅',
        'f59': '涨跌幅',
        'f60': '涨跌额',
        'f61': '换手率',


    }
    EastmoneyHeaders = {
        'Host': '19.push2.eastmoney.com',
        'User-Agent': 'Mozilla/5.0 (Windows NT 6.3; WOW64; Trident/7.0; Touch; rv:11.0) like Gecko',
        'Accept': '*/*',
        'Accept-Language': 'zh-CN,zh;q=0.8,zh-TW;q=0.7,zh-HK;q=0.5,en-US;q=0.3,en;q=0.2',
        'Referer': 'http://quote.eastmoney.com/center/gridlist.html',
    }
    fields = list(EastmoneyKlines.keys())
    columns = list(EastmoneyKlines.values())
    fields2 = ",".join(fields)
    secid = gen_secid(code)
    params = (
        ('fields1', 'f1,f2,f3,f4,f5,f6,f7,f8,f9,f10,f11,f12,f13'),
        ('fields2', fields2),
        ('beg', beg),
        ('end', end),
        ('rtntype', '6'),
        ('secid', secid),
        ('klt', f'{klt}'),
        ('fqt', f'{fqt}'),
    )
    params = dict(params)
    base_url = 'https://push2his.eastmoney.com/api/qt/stock/kline/get'
    url = base_url+'?'+urlencode(params)
    json_response: dict = requests.get(
        url, headers=EastmoneyHeaders).json()

    data = json_response.get('data')
    if data is None:
        if secid[0] == '0':
            secid = f'1.{code}'
        else:
            secid = f'0.{code}'
        params['secid'] = secid
        url = base_url+'?'+urlencode(params)
        json_response: dict = requests.get(
            url, headers=EastmoneyHeaders).json()
        data = json_response.get('data')
    if data is None:
        print('代码:', code, '可能有误')
        return pd.DataFrame(columns=columns)

    klines = data['klines']

    rows = []
    for _kline in klines:

        kline = _kline.split(',')
        rows.append(kline)

    df = pd.DataFrame(rows, columns=columns)

    return df


if __name__ == "__main__":
    # 代码
    code = '513050'
    # 1 分钟 k 线
    minute_step = 1
    df = get_k_history(code,klt = minute_step)
    # 保存k线数据到表格里面
    df.to_csv(f'{code}.csv', encoding='utf-8-sig', index=None)
    print(f'{code} 的 k线数据已保存到代码目录下的 {code}.csv 文件中')