using System;
using System.Collections.Generic;
using System.ComponentModel;
using System.Data;
using System.Diagnostics.Eventing.Reader;
using System.Drawing;
using System.Linq;
using System.Text;
using System.Threading;
using System.Threading.Tasks;
using System.Windows.Forms;
using System.Windows.Forms.DataVisualization.Charting;
using rtChart;

namespace IADZAD1WARIANTNA3
{
    public partial class Form1 : Form
    {
        private double eta;
        private double momentum;
        private int iterations;
        private bool biasUsed;
        private int numOfHiddenNeurons;
        private List<double[]> wyniki;
        private double[] punktyBlad;
        private string biasString;
        private Dictionary<int, double> dane = new Dictionary<int, double>();
        public Form1()
        {
            InitializeComponent();
        }

        private Thread GraphThread;

        public void ReadFromGui()
        {
            eta = double.Parse(EtaBox.Text);
            momentum = double.Parse(MomentBox.Text);
            iterations = Int32.Parse(IterBox.Text);
            biasUsed = useBias.Checked;
            numOfHiddenNeurons = Int32.Parse(neuronBox.Text);
            if (biasUsed) biasString = ", bias";
            else biasString = ", bez biasu";
        }

        private void Calculate()
        {
            List<double[]> userInput = new List<double[]>();
            List<double[]> userOutput = new List<double[]>();
            NeuronNetwork net = new NeuronNetwork(4, numOfHiddenNeurons, 4);
            wyniki = net.Training(userInput, userOutput, eta, momentum, biasUsed, iterations, net.ReadFile(userInput, userOutput));
            punktyBlad = net.MeanSqErr();
            for (int i = 0; i < punktyBlad.Count(); i++)
            {
                dane[i] = punktyBlad[i];
            }
        }
        private delegate void PlotDelegate();
        private void Plot()
        {
            if (this.InvokeRequired)
            {
                PlotDelegate plot_delegate = Plot;
                this.Invoke(plot_delegate);
                return;
            }
            WykresBledu.Update();
            WykresBledu.Titles.Clear();
            Title title = WykresBledu.Titles.Add(iterations + " epok, " + "momentum " + momentum + ", eta, " + eta + " " + numOfHiddenNeurons + " neurony warstwy ukrytej " + biasString);
            WykresBledu.DataSource = dane;
            WykresBledu.Series["Series1"].Points.DataBindXY(dane.Keys, dane.Values);
            WykresBledu.Series["Series1"].BorderWidth = 2;
            WykresBledu.ChartAreas[0].AxisX.Interval = 500;
            WykresBledu.ChartAreas[0].AxisX.Minimum = 0;
            WykresBledu.ChartAreas[0].AxisX.Maximum = iterations;
            WykresBledu.ChartAreas[0].AxisY.Interval = 0.2;
            WykresBledu.Series["Series1"].Palette = ChartColorPalette.Fire;
            Wagi.Clear();
            for (int i = 0; i < 4; i++)
            {
                Wagi.Text += "Numer Wyjscia: " + (i + 1);
                for (int j = 0; j < 4; j++)
                {
                    Wagi.Text += "\t" + wyniki[i][j].ToString("0." + "################") + "\t";
                }
                Wagi.Text += "\n";
            }
        }
        public void DrawAGraphAndScores()
        {
            try
            {
                Calculate();
                Plot();
            }
            catch (Exception ex)
            {
                AddStatus("[Thread]" + ex.Message);
            }
        }
        private delegate void AddStatusDelegate(string text);
        private void AddStatus(string text)
        {
            if (this.InvokeRequired)
            {
                object[] args = new object[] { text };
                AddStatusDelegate add_status_delegate = AddStatus;
                this.Invoke(add_status_delegate, args);
                Console.WriteLine(text);
                return;
            }
        }
        private void przycisk_Click(object sender, EventArgs e)
        {
            ReadFromGui();
            if (GraphThread == null)
            {
                AddStatus("Starting thread");
                GraphThread = new Thread(DrawAGraphAndScores)
                {
                    IsBackground = true
                };
                GraphThread.Start();
                przycisk.Text = "Stop";
                AddStatus("Thread Started");
            }
            else
            {
                AddStatus("Stopping thread");
                GraphThread.Abort();
                GraphThread = null;
                AddStatus("Thread stopped");
                przycisk.Text = "Start";
            }

        }

        private void label1_Click(object sender, EventArgs e)
        {

        }

        private void IterBox_TextChanged(object sender, EventArgs e)
        {

        }

        private void EtaBox_TextChanged(object sender, EventArgs e)
        {

        }

        private void LRBox_TextChanged(object sender, EventArgs e)
        {

        }

        private void neuronBox_TextChanged(object sender, EventArgs e)
        {

        }

        private void useBias_CheckedChanged(object sender, EventArgs e)
        {

        }
        private void Form1_Load(object sender, EventArgs e)
        {

        }

        private void WykresBledu_Click(object sender, EventArgs e)
        {

        }
    }

}