using Bitget_Server.Domain.Enums;
using Bitget_Server.Domain.Indicators;
using Bitget_Server.Domain.Models;

namespace Bitget_Server.Application.Indicators;

[Serializable]
public class MovingAverageConditionSetup
{
    public MovingAverageType MovingAverageType { get; set; }

    // 기간 파라미터 (기존 WinForms와 동일)
    public int CandleLength24 { get; set; } = 24;
    public int CandleLength48 { get; set; } = 48;
    public int CandleLength4 { get; set; } = 4;
    public int CandleLength5 { get; set; } = 5;
    public int CandleLength2 { get; set; } = 2;
    public int CandleLength3 { get; set; } = 3;
    public int CandleLength36 { get; set; } = 36;
    public int CandleLength72 { get; set; } = 72;
    public int CandleLength12 { get; set; } = 12;
    public int CandleLength8 { get; set; } = 8;
    public int CandleLength144 { get; set; } = 144;
    public int CandleLength40 { get; set; } = 40;
    public int CandleLength20 { get; set; } = 20;
    public int CandleLength120 { get; set; } = 120;
    public int CandleLength240 { get; set; } = 240;
    public int CandleLength480 { get; set; } = 480;
    public int CandleLength80 { get; set; } = 80;
    public int CandleLength160 { get; set; } = 160;

    public CandlePriceType MACandlePriceType { get; set; }

    public void Cal_YHK_Downpublic(List<CandleData> candleDatas, CandleData candleData)
    {
        var endIndex = candleDatas.Count() - 1;
        if (candleData == null) return;

        if (candleData.movingAverageDataList == null)
        {
            candleData.movingAverageDataList = new Dictionary<int, MovingAverageData>
            {
                { CandleLength2, new MovingAverageData() },
                { CandleLength4, new MovingAverageData() },
                { CandleLength5, new MovingAverageData() },
                { CandleLength12, new MovingAverageData() },
                { CandleLength24, new MovingAverageData() },
                { CandleLength36, new MovingAverageData() },
                { CandleLength144, new MovingAverageData() },
                { CandleLength40, new MovingAverageData() },
                { CandleLength48, new MovingAverageData() },
                { CandleLength72, new MovingAverageData() },
                { CandleLength3, new MovingAverageData() },
                { CandleLength8, new MovingAverageData() },
                { CandleLength20, new MovingAverageData() },
                { CandleLength80, new MovingAverageData() },
                { CandleLength160, new MovingAverageData() },
                { CandleLength120, new MovingAverageData() },
                { CandleLength240, new MovingAverageData() },
                { CandleLength480, new MovingAverageData() }
            };
        }

        foreach (var item in candleData.movingAverageDataList.ToList())
        {
            var datas = candleDatas.FindAll(i =>
                candleDatas.IndexOf(i) > endIndex - item.Key &&
                candleDatas.IndexOf(i) <= endIndex);

            candleData.movingAverageDataList[item.Key] = new MovingAverageData();
            candleData.movingAverageDataList[item.Key].Value = datas.Sum(i => i.Close) / item.Key;
            CalBolangerValue(datas, candleData.movingAverageDataList[item.Key], datas.Count - 1, item.Key);
            CalBolangerValue(datas, candleData.movingAverageDataList[item.Key], datas.Count - 1, item.Key);
        }
    }

    // 볼린저 밴드 계산
    public void CalBolangerValue(List<CandleData> data, MovingAverageData mvData, int i, int period)
    {
        double total_average = 0;
        if (i < period - 1) return;

        for (int t = i - period + 1; t < i; t++)
            total_average += data[t].Close;
        total_average += data[i].Close;

        double average = total_average / period;
        double t_Close = 0;
        double sum = 0;
        double powSum = 0;

        int j;
        for (j = (i - period + 1); j < i; j++)
        {
            t_Close += Math.Pow(data[j].Close - average, 2);
            sum += data[j].Close;
            powSum += Math.Pow(data[j].Close, 2);
        }
        t_Close += Math.Pow(data[j].Close - average, 2);

        mvData.BolangerValue_Down = average - mvData.BolangerSquared * Math.Sqrt(t_Close / period);
        mvData.BolangerValue_Up = average + mvData.BolangerSquared * Math.Sqrt(t_Close / period);
        mvData.Average = average;
    }
}