from processing import processing
(signal_dwt , waves_dwt , rpeaks , ecg_signal,
 signal, signal.v, signal.fs, rows_to_extract, t_ecg, t_ppg,
 on_column_list, on_column_list_toArea, on_values, on_values_toArea,
 sp_column_list, sp_values, dn_column_list, dn_values, dp_column_list,
 dp_values, u_column_list, u_column_list_toArea, u_values, u_values_toArea,
 v_column_list, v_values, w_column_list, w_values, a_column_list, a_column_list_toArea,
 a_values, a_values_toArea, b_column_list, b_values, c_column_list, c_values,
 e_column_list, e_values, f_column_list, f_values,
 signal.ppg, signal.vpg, signal.apg, signal.jpg) = processing()

from ppg_peaks_val import ppg_peaks_val
(on, on_toArea, sp, dn, dp,
on_values, on_toArea_values, sp_values, dn_values, dp_values,
u, u_toArea, v, w,
u_values, u_toArea_values, v_values, w_values,
a, a_toArea, b, c, e, f,
a_values, a_toArea_values, b_values, c_values, e_values, f_values) = ppg_peaks_val()


from ppg_time_interval import ppg_time_interval
differences_ppg = ppg_time_interval()



def ppg_ratio():

    features_ppg_2 = {
        # 将纵坐标值放入字典中
        "on": on_values,
        "sp": sp_values,
        "dn": dn_values,
        "dp": dp_values,
        "u": u_values,
        "v": v_values,
        "w": w_values,
        "a": a_values,
        "b": b_values,
        "c": c_values,
        "e": e_values,
        "f": f_values,

    }
    features_ppg_3 = {
        "on-sp": differences_ppg["on-sp"],
        "on-dn": differences_ppg["on-dn"],
        "on-dp": differences_ppg["on-dp"],
        "on-u": differences_ppg["on-u"],
        "on-v": differences_ppg["on-v"],
        "on-w": differences_ppg["on-w"],
        "on-a": differences_ppg["on-a"],
        "on-b": differences_ppg["on-b"],
        "on-c": differences_ppg["on-c"],
        "on-e": differences_ppg["on-e"],
        "on-f": differences_ppg["on-f"],

        "sp-dn": differences_ppg["sp-dn"],
        "sp-dp": differences_ppg["sp-dp"],
        "sp-u": differences_ppg["sp-u"],
        "sp-v": differences_ppg["sp-v"],
        "sp-w": differences_ppg["sp-w"],
        "sp-a": differences_ppg["sp-a"],
        "sp-b": differences_ppg["sp-b"],
        "sp-c": differences_ppg["sp-c"],
        "sp-e": differences_ppg["sp-e"],
        "sp-f": differences_ppg["sp-f"],

        "dn-dp": differences_ppg["dn-dp"],
        "dn-u": differences_ppg["dn-u"],
        "dn-v": differences_ppg["dn-v"],
        "dn-w": differences_ppg["dn-w"],
        "dn-a": differences_ppg["dn-a"],
        "dn-b": differences_ppg["dn-b"],
        "dn-c": differences_ppg["dn-c"],
        "dn-e": differences_ppg["dn-e"],
        "dn-f": differences_ppg["dn-f"],

        "dp-u": differences_ppg["dp-u"],
        "dp-v": differences_ppg["dp-v"],
        "dp-w": differences_ppg["dp-w"],
        "dp-a": differences_ppg["dp-a"],
        "dp-b": differences_ppg["dp-b"],
        "dp-c": differences_ppg["dp-c"],
        "dp-e": differences_ppg["dp-e"],
        "dp-f": differences_ppg["dp-f"],

        "u-v": differences_ppg["u-v"],
        "u-w": differences_ppg["u-w"],
        "u-a": differences_ppg["u-a"],
        "u-b": differences_ppg["u-b"],
        "u-c": differences_ppg["u-c"],
        "u-e": differences_ppg["u-e"],
        "u-f": differences_ppg["u-f"],

        "v-w": differences_ppg["v-w"],
        "v-a": differences_ppg["v-a"],
        "v-b": differences_ppg["v-b"],
        "v-c": differences_ppg["v-c"],
        "v-e": differences_ppg["v-e"],
        "v-f": differences_ppg["v-f"],

        "w-a": differences_ppg["w-a"],
        "w-b": differences_ppg["w-b"],
        "w-c": differences_ppg["w-c"],
        "w-e": differences_ppg["w-e"],
        "w-f": differences_ppg["w-f"],

        "a-b": differences_ppg["a-b"],
        "a-c": differences_ppg["a-c"],
        "a-e": differences_ppg["a-e"],
        "a-f": differences_ppg["a-f"],

        "b-c": differences_ppg["b-c"],
        "b-e": differences_ppg["b-e"],
        "b-f": differences_ppg["b-f"],

        "c-e": differences_ppg["c-e"],
        "c-f": differences_ppg["c-f"],

        "e-f": differences_ppg["e-f"],


    }

    ratios_ppg_2 = {}
    for start_label, start_values in features_ppg_2.items():
        for end_label, end_values in features_ppg_2.items():
            if start_label != end_label:
                ratio_label = f"{start_label}/{end_label}"
                # 计算对应位置的比值
                ratios = [start_val / end_val for start_val, end_val in zip(start_values, end_values)]
                # ratios = [end_val / start_val if start_val != 0 else 0  # 或其他默认值
                #           for start_val, end_val in zip(start_values, end_values)]
                
                ratios_ppg_2[ratio_label] = ratios

    # # 输出间隔
    # for key, value in ratios_ppg_2.items():
    #     print(f" {key}: {value}")

    ratios_ppg_3 = {}
    for start_label, start_values in features_ppg_3.items():
        for end_label, end_values in features_ppg_3.items():
            if start_label != end_label:
                ratio_label = f"{start_label}/{end_label}"
                # 计算对应位置的比值，分母为零时用上一个有效比值替代
                ratios = []
                last_valid_ratio = None  # 用于存储上一个有效的比值

                for start_val, end_val in zip(start_values, end_values):
                    if end_val != 0:
                        # 如果分母不为零，计算当前比值
                        current_ratio = start_val / end_val
                        ratios.append(current_ratio)
                        last_valid_ratio = current_ratio  # 更新上一个有效比值
                    else:
                        # 如果分母为零，使用上一个有效比值
                        if last_valid_ratio is not None:
                            ratios.append(last_valid_ratio)
                        
                ratios_ppg_3[ratio_label] = ratios

    # # 输出间隔
    # for key, value in ratios_ppg_3.items():
    #     print(f" {key}: {value}")
        

    return ratios_ppg_2, ratios_ppg_3


if __name__ == "__main__":
    ppg_ratio()