from code_attribute import code_nature_analyse
from utils import init_data_util


def is_too_high(datas):
    limit_up_price = round(datas[0]["close"] * 1.1, 2)
    datas.reverse()
    is_new_high = code_nature_analyse.is_up_too_high_in_10d_with_limit_up(datas)
    return is_new_high


if __name__ == "__main__":
    code_str = "600148"
    codes = code_str.split(",")
    for code in codes:
        if code.find("00") != 0 and code.find("60") != 0:
            continue
        try:
            datas = init_data_util.get_volumns_by_code(code, 120)
            datas = datas[0:]
            result = is_too_high(datas)
            if result:
                print(code, result)
        except:
            print(code, "出错")