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();

            }
        }

        protected int lineTens { get; set; } = 0;

        protected override async Task OnAfterRenderAsync(bool firstRender)
        {
            if (firstRender)
            {
                await HandleRedraw();
            }
        }

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


        object horizontalLineChartOptions = new
        {
            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()
        {
            await Task.Delay(1);
            // calcolo hist frequenza con EFCore: https://entityframeworkcore.com/knowledge-base/60871048/group-by-and-to-dictionary-in-ef-core-3-1
            randData = RandomizeData();
            //var histDict = randData.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();

            // calcolo i valori raggruppati in numGroup...
            int numGroup = (int)Math.Sqrt(numRec);
            double minVal = randData.Min();
            double maxVal = randData.Max();
            double step = (maxVal - minVal) / numGroup;
            var histDictGroup = randData.GroupBy(r => ((int)Math.Round((r - minVal) / step)) * step + minVal).Select(g => new
            {
                g.Key,
                Count = g.Count()
            }).OrderBy(d => d.Key).ToDictionary(x => x.Key, x => x.Count);
            histGroupData = histDictGroup.Values.Select(x => $"{x}").ToArray();
            histGroupLabel = histDictGroup.Keys.Select(x => $"{x:N2}").ToArray();

            histData = histDictGroup.Values.Select(x => (double)x).ToList();
            histLabel = histDictGroup.Keys.Select(x => $"{x:N2}").ToList();

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

            lineColors = new List<string>() { "rgba(255, 99, 132, 1)", "rgba(255, 159, 64, 1)", "rgba(255, 205, 86, 1)", "rgba(75, 192, 192, 1)", "rgba(54, 162, 235, 1)", "rgba(153, 102, 255, 1)", "rgba(201, 203, 207, 1)" };
            bgColors = new List<string>() { "rgba(255, 99, 132, 0.3)", "rgba(255, 159, 64, 0.3)", "rgba(255, 205, 86, 0.3)", "rgba(75, 192, 192, 0.3)", "rgba(54, 162, 235, 0.3)", "rgba(153, 102, 255, 0.3)", "rgba(201, 203, 207, 0.3)" };
        }

        protected List<double> histData { get; set; } = new List<double>();

        protected List<string> histLabel { get; set; } = new List<string>();

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

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

        protected List<double> randData { get; set; } = new List<double>();

        protected List<string> bgColors = new List<string>();
        protected List<string> lineColors = new List<string>();


        protected List<chartJsData.chartJsTSerie> dataList { get; set; } = new List<chartJsData.chartJsTSerie>();

        string[] Labels = { "Red", "Blue", "Yellow", "Green", "Purple", "Orange" };



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


            List<double> answ = new List<double>();
            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(randNormal);
            }
            return answ;
        }

        private Dictionary<DateTime, double> TSData(DateTime inizio, List<double> yData)
        {
            Dictionary<DateTime, double> answ = new Dictionary<DateTime, double>();
            // 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;
        }
    }
}