错误日志添加

Administrator

2023-12-22 3b8d0024d7b030894c3cb506c79e8f5676a0b4db

错误日志添加

 code_attribute/first_target_code_data_processor.py

@@ -162,6 +162,7 @@
                #                                      volumes_data)
            except Exception as e:
                logger_first_code_record.error(f"{code}:{str(e)}")
                logger_first_code_record.exception(e)
    gpcode_manager.FirstCodeManager().add_record(codes)
    # 初始化板块信息，暂时删除
    # for code in codes:

 l2/l2_data_manager_new.py

@@ -1081,10 +1081,10 @@
                    if k_format and (k_format[1][0] or k_format[3][0]):
                        # 股价创新高或者逼近前高
                        if code in cls.volume_rate_info and cls.volume_rate_info[code][0] < 0.6:
                            return False, True, f"非强势10分钟，强势主线后排，不满足自由市值，股价创新高或者逼近前高,当日量比({cls.volume_rate_info[code][0]})小于0.6"
                            return False, True, f"非强势10分钟，非强势主线后排，满足自由市值，股价创新高或者逼近前高, 当日量比({cls.volume_rate_info[code][0]})小于0.6"
                    else:
                        if code in cls.volume_rate_info and cls.volume_rate_info[code][0] < 0.3:
                            return False, True, f"非强势10分钟，强势主线后排,不满足自由市值，当日量比({cls.volume_rate_info[code][0]})小于0.3"
                            return False, True, f"非强势10分钟，非强势主线后排, 满足自由市值，当日量比({cls.volume_rate_info[code][0]})小于0.3"
            return True, False, can_buy_result[2]

    @classmethod

 test/test_code_attribute.py

@@ -5,12 +5,12 @@
def is_too_high(datas):
    limit_up_price = round(datas[0]["close"] * 1.1, 2)
    datas.reverse()
    is_new_high = code_nature_analyse.is_price_too_high_in_days(datas,limit_up_price)
    is_new_high = code_nature_analyse.is_price_too_high_in_days(datas, limit_up_price)
    return is_new_high


if __name__ == "__main__":
    code_str = "002861"
    code_str = "002915"
    codes = code_str.split(",")
    for code in codes:
        if not tool.is_shsz_code(code):
@@ -18,13 +18,6 @@
        try:
            limit_up_price = 16.96
            volumes_data = init_data_util.get_volumns_by_code(code, 150)
            volumes_data = volumes_data[1:]
            volumes = init_data_util.parse_max_volume(volumes_data[:90],
                                                      code_nature_analyse.is_new_top(
                                                          limit_up_price,
                                                          volumes_data[:90]) or code_nature_analyse.is_near_top(
                                                          limit_up_price,
                                                          volumes_data[:90]))
            print(volumes)
            is_too_high(volumes_data)
        except:
            print(code, "出错")