mapo-core/MP.Stats/Pages/Test.razor.cs

using System;
using System.Collections.Generic;
using System.Linq;
using System.Threading.Tasks;
using Microsoft.AspNetCore.Components;
using System.Net.Http;
using Microsoft.AspNetCore.Authorization;
using Microsoft.AspNetCore.Components.Authorization;
using Microsoft.AspNetCore.Components.Forms;
using Microsoft.AspNetCore.Components.Routing;
using Microsoft.AspNetCore.Components.Web;
using Microsoft.AspNetCore.Components.Web.Virtualization;
using Microsoft.JSInterop;
using MP.Data;
using MP.Stats;

namespace MP.Stats.Pages
{
    public partial class Test
    {
        private int _numRec = 100;
        private double _mean = 14;
        private double _stdDev = 1;

        public int numRec
        {
            get { return _numRec; 
            }
            set
            {
                _numRec = value;
                var pUpd = Task.Run(async () => await HandleRedraw());
                pUpd.Wait();
            }
        }

        public double mean
        {
            get
            {
                return _mean;
            }
            set
            {
                _mean = value;
                var pUpd = Task.Run(async () => await HandleRedraw());
                pUpd.Wait();

            }
        }
        public double stdDev
        {
            get
            {
                return _stdDev;
            }
            set
            {
                _stdDev = value;
                var pUpd = Task.Run(async () => await HandleRedraw());
                pUpd.Wait();

            }
        }

#if false
        PieChart<double> pieChart;
        LineChart<double> lineChart;
        HorizontalBarChart<double> barChartHoriz;
        BarChart<double> barChart; 
#endif
        protected override async Task OnAfterRenderAsync(bool firstRender)
        {
            if (firstRender)
            {
                await HandleRedraw();
            }
        }

        protected override async Task OnInitializedAsync()
        {
            await HandleRedraw();
        }


        object horizontalLineChartOptions = new
        {
            //Title = new
            //{
            //    Display = true,
            //    Text = "Line chart sample"
            //},
            //Scales = new
            //{
            //    XAxes = new object[]
            //    {
            //        new {
            //                //ScaleLabel = new {
            //                //Display = true, LabelString = "value" },
            //                Stacked = true
            //            }
            //                                }
            //},
            Tooltips = new
            {
                Mode = "nearest",
                Intersect = false
            }

        ,
            Hover = new
            {
                Mode = "nearest",
                Intersect = false
            }

        ,
            Legend = new
            {
                Display = true,
                FullWidth = true
            }

        ,
            AspectRatio = 2.5
        }

        ;
        private async Task HandleRedraw()
        {
#if false
            await pieChart.Clear();
            await pieChart.AddLabelsDatasetsAndUpdate(Labels, GetPieChartDataset());
            await lineChart.Clear();
            await lineChart.AddLabelsDatasetsAndUpdate(Labels, GetLineChartDataset());
            await barChart.Clear();
            await barChart.AddLabelsDatasetsAndUpdate(Labels, GetBarChartDataset());
            await barChartHoriz.Clear();
            await barChartHoriz.AddLabelsDatasetsAndUpdate(Labels, GetHorizBarChartDataset()); 
#endif
            // calcolo hist frequenza con EFCore: https://entityframeworkcore.com/knowledge-base/60871048/group-by-and-to-dictionary-in-ef-core-3-1
            var rawData = RandomizeData();
            var histDict = rawData.GroupBy(r => r).Select(g => new
            {
                g.Key,
                Count = g.Count()
            }).OrderBy(d => d.Key).ToDictionary(x => x.Key, x => x.Count.ToString());
            histData = histDict.Values.ToArray();
            histLabel = histDict.Keys.Select(x => $"{x}").ToArray();


            dataList = TSData(DateTime.Today.AddHours(-rawData.Count), rawData).Select(r => new chartJsData.chartJsTSerie()
            { x = r.Key, y = r.Value }).ToList();
        }

        protected string[]? histData { get; set; } = null;

        protected string[]? histLabel { get; set; } = null;
        protected List<chartJsData.chartJsTSerie>? dataList { get; set; } = null;
#if false

        PieChartDataset<double> GetPieChartDataset()
        {
            return new PieChartDataset<double> { Label = "# of randoms", Data = RandomizeData(), BackgroundColor = backgroundColors, BorderColor = borderColors };
        }

        LineChartDataset<double> GetLineChartDataset()
        {
            return new LineChartDataset<double> { Label = "# of randoms", Data = RandomizeData(), BackgroundColor = backgroundColors, BorderColor = borderColors, Fill = true, PointRadius = 2, BorderDash = new List<int> { } };
        }

        BarChartDataset<double> GetBarChartDataset()
        {
            return new BarChartDataset<double> { Label = "# of randoms", Data = RandomizeData(), BackgroundColor = backgroundColors, BorderColor = borderColors, HoverBorderWidth = 5 };
        }

        BarChartDataset<double> GetHorizBarChartDataset()
        {
            return new BarChartDataset<double> { Label = "# of randoms", Data = RandomizeData(), BackgroundColor = backgroundColors, BorderColor = borderColors, HoverBorderWidth = 5 };
        } 
#endif

        string[] Labels = { "Red", "Blue", "Yellow", "Green", "Purple", "Orange" };
#if false
        List<string> backgroundColors = new List<string> { ChartColor.FromRgba(255, 99, 132, 0.2f), ChartColor.FromRgba(54, 162, 235, 0.2f), ChartColor.FromRgba(255, 206, 86, 0.2f), ChartColor.FromRgba(75, 192, 192, 0.2f), ChartColor.FromRgba(153, 102, 255, 0.2f), ChartColor.FromRgba(255, 159, 64, 0.2f) };
        List<string> borderColors = new List<string> { ChartColor.FromRgba(255, 99, 132, 1f), ChartColor.FromRgba(54, 162, 235, 1f), ChartColor.FromRgba(255, 206, 86, 1f), ChartColor.FromRgba(75, 192, 192, 1f), ChartColor.FromRgba(153, 102, 255, 1f), ChartColor.FromRgba(255, 159, 64, 1f) }; 
#endif

        private List<int> RandomizeData()
        {
            var r = new Random(DateTime.Now.Millisecond);


            List<int> answ = new List<int>();
            for (int i = 0; i < numRec; i++)
            {
                double u1 = 1.0 - r.NextDouble(); // uniform (0,1] random doubles
                double u2 = 1.0 - r.NextDouble();
                double randStdNormal = Math.Sqrt(-2.0 * Math.Log(u1)) * Math.Sin(2.0 * Math.PI * u2);
                double randNormal = mean + stdDev * randStdNormal; // random normal (mean, stdDev^2) 
                //answ.Add(r.Next(3, 30) * r.NextDouble());
                answ.Add((int)(randNormal * 10));
            }
            return answ;
        }

        private Dictionary<DateTime, decimal> TSData(DateTime inizio, List<int> yData)
        {
            Dictionary<DateTime, decimal> answ = new Dictionary<DateTime, decimal>();
            // usando i dati ricevuti aggiunge variabile x = tempo crescente
            int idx = 0;
            foreach (var item in yData)
            {
                answ.Add(inizio.AddHours(idx), item);
                idx++;
            }
            // restituisco!
            return answ;
        }
    }
}