def QA_data_stock_to_fq(__data, type_='01'):

    def __QA_fetch_stock_xdxr(
            code,
            format_='pd',
            collections=DATABASE.stock_xdxr
    ):
        '获取股票除权信息/数据库'
        try:
            data = pd.DataFrame(
                [item for item in collections.find({'code': code})]
            ).drop(['_id'],
                   axis=1)
            data['date'] = pd.to_datetime(data['date'])
            return data.set_index(['date', 'code'], drop=False)
        except:
            return pd.DataFrame(
                data=[],
                columns=[
                    'category',
                    'category_meaning',
                    'code',
                    'date',
                    'fenhong',
                    'fenshu',
                    'liquidity_after',
                    'liquidity_before',
                    'name',
                    'peigu',
                    'peigujia',
                    'shares_after',
                    'shares_before',
                    'songzhuangu',
                    'suogu',
                    'xingquanjia'
                ]
            )

    '股票 日线/分钟线 动态复权接口'

    code = __data.index.remove_unused_levels().levels[1][0] if isinstance(
        __data.index,
        pd.core.indexes.multi.MultiIndex
    ) else __data['code'][0]

    return _QA_data_stock_to_fq(
        bfq_data=__data,
        xdxr_data=__QA_fetch_stock_xdxr(code),
        fqtype=type_
    )