using System.Diagnostics;
using System.Drawing;
using System.Globalization;

namespace kMeans;

public static class Program
{
    private const string Coordinates = "coordinates.csv";
    private const string PlotOut = "plot.png";
    private const int K = 3;

    private static void Main()
    {
        Console.WriteLine("k-Means-Algorithmus");
        var points = ParseCsv(Coordinates);
        PlotDiagram(points);
    }

    private static IReadOnlyList<Point> ParseCsv(string path)
    {
        var sw = Stopwatch.StartNew();
        var result = new List<Point>();
        var lines = File.ReadLines(path);
        foreach (var line in lines)
        {
            var current = line.Split(',');
            if (!double.TryParse(current[0], NumberStyles.Any, CultureInfo.InvariantCulture, out var x)) continue;
            if (!double.TryParse(current[1], NumberStyles.Any, CultureInfo.InvariantCulture, out var y)) continue;
            var point = new Point(x, y);
            result.Add(point);
        }

        sw.Stop();
        Console.WriteLine($"[{nameof(ParseCsv)}] Elapsed: {sw.ElapsedMilliseconds}ms");
        return result;
    }

    private static void PlotDiagram(IReadOnlyList<Point> points)
    {
        var sw = Stopwatch.StartNew();
        var plot = new ScottPlot.Plot();
        plot.AddScatterPoints(points.Select(p => p.X).ToArray(), points.Select(p => p.Y).ToArray());
        plot.SaveFig(PlotOut);
        sw.Stop();
        Process.Start(new ProcessStartInfo(PlotOut) { UseShellExecute = true });
        Console.WriteLine($"[{nameof(PlotDiagram)}] Elapsed: {sw.ElapsedMilliseconds}ms");
    }


    private record Point(double X, double Y, Color? Color = default, bool Mean = false);
}