286 lines
10 KiB
C#
286 lines
10 KiB
C#
using Microsoft.AspNetCore.Components;
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using MP.Core.DTO;
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using MP.Data;
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using MP.Data.DbModels.Utils;
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using MP.Data.DTO;
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using MP.Data.Services.Utils;
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namespace MP.IOC.Components.Pages
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{
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public partial class CallStats
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{
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#region Protected Methods
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protected override async Task OnInitializedAsync()
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{
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await ReloadData();
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}
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#endregion Protected Methods
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#region Private Fields
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private List<StatDataDTO> currData = new();
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private string currDetail = "";
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private string currHistId = "";
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private StatInfoDto? currStatSel = null;
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private string currPieId = "";
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private string currTitle = "";
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private string currTsId = "";
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private List<string> lineTitles = new List<string>();
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private int numDays = 5;
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private List<StatInfoDto> ParetoDay = new();
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private List<chartJsData.chartJsTSerie> tsData = new List<chartJsData.chartJsTSerie>();
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private List<ChartSeriesDto> tsDataDetail = new();
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private List<List<chartJsData.chartJsTSerie>> TSDataMulti = new();
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#endregion Private Fields
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#region Private Properties
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/// <summary>
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/// Genera colori sfondo 33% rosso / arancione / giallo
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/// </summary>
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/// <returns></returns>
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private List<string> bgColors
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{
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get => GetSemaforicColors(currData.Count, "0.3");
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}
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private List<string> bgColorsMLine
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{
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get => GetDistinctColors(tsDataDetail.Count, "0.3");
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}
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private List<double> DatiPareto
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{
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get => currData.OrderByDescending(x => x.Value).Select(x => x.Value).ToList();
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//get => currData.OrderByDescending(x => x.Value).Take(5).Select(x => x.Value).ToList();
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}
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private List<string> LabelPareto
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{
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get => currData.OrderByDescending(x => x.Value).Select(x => x.Label).ToList();
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//get => currData.OrderByDescending(x => x.Value).Take(5).Select(x => x.Label).ToList();
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}
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private List<string> LabelPlot
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{
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get => tsData.Select(r => $"{r.x:yyyy-MM-dd}").ToList();
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}
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/// <summary>
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/// Genera colori sfondo 33% rosso / arancione / giallo
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/// </summary>
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/// <returns></returns>
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private List<string> lineColors
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{
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get => GetSemaforicColors(currData.Count, "1");
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}
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private List<string> lineColorsMLine
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{
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get => GetDistinctColors(tsDataDetail.Count, "1");
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}
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[Inject]
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private IStatsDetailService SDetService { get; set; } = null!;
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[Inject]
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private IStatsAggrService SAggService { get; set; } = null!;
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#endregion Private Properties
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#region Private Methods
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private string CheckSelect(string curKey)
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{
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return currStatSel != null && currStatSel.Title == curKey ? "active" : "";
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}
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private void DoReset()
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{
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currStatSel = null;
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currHistId = "";
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currPieId = "";
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currTsId = "";
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currData = new();
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}
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private void DoSelect(StatInfoDto currStat)
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{
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// salvo dati!
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currStatSel = currStat;
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string reqKey = currStat.Title;
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currHistId = $"Bar_{reqKey}";
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currPieId = $"Pie_{reqKey}";
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currTsId = $"TS_{reqKey}";
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currTitle = $"Pareto | {reqKey}";
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currData = currStat.DataCollection;
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tsDataDetail = new();
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}
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private List<string> GetDistinctColors(int numRecords, string alpha)
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{
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List<string> colors = new List<string>();
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if (numRecords <= 0) return colors;
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// Partiamo dal Blu (240°) invece che dal Rosso (0°)
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double startHue = 240.0;
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for (int i = 0; i < numRecords; i++)
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{
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// Distribuiamo la tonalità aggiungendo l'offset iniziale
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// L'operatore % 360 assicura di rimanere nel cerchio se superiamo il rosso
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double hue = (startHue + ((double)i * 360 / numRecords)) % 360;
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// Strategia di distinzione (attiva sempre, ma più efficace sopra i 5 colori)
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// Alterniamo i valori per i record pari/dispari
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string saturation = "70%";
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string lightness = "50%";
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if (numRecords > 5)
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{
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// Se i colori sono molti, alterniamo luminosità e saturazione
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// I record dispari saranno più chiari e saturi, i pari più scuri e tenui
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lightness = (i % 2 == 0) ? "45%" : "65%";
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saturation = (i % 2 == 0) ? "80%" : "60%";
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}
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colors.Add($"hsla({hue:0.##}, {saturation}, {lightness}, {alpha})");
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}
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return colors;
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}
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private List<string> GetSemaforicColors(int numRecords, string alpha)
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{
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List<string> colors = new List<string>();
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if (numRecords <= 0) return colors;
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if (numRecords == 1) { colors.Add($"rgba(54, 235, 82, {alpha})"); return colors; }
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// Definiamo i punti chiave (R, G, B)
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(int r, int g, int b) green = (54, 235, 82);
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(int r, int g, int b) yellow = (255, 206, 86);
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(int r, int g, int b) red = (255, 99, 132);
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for (int i = 0; i < numRecords; i++)
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{
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// t va da 0.0 (primo record) a 1.0 (ultimo record)
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double t = (double)i / (numRecords - 1);
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int r, g, b;
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if (t < 0.5)
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{
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// Da Verde a Giallo (mappiamo 0->0.5 su 0->1)
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double localT = t * 2;
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r = (int)(green.r + (yellow.r - green.r) * localT);
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g = (int)(green.g + (yellow.g - green.g) * localT);
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b = (int)(green.b + (yellow.b - green.b) * localT);
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}
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else
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{
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// Da Giallo a Rosso (mappiamo 0.5->1 su 0->1)
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double localT = (t - 0.5) * 2;
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r = (int)(yellow.r + (red.r - yellow.r) * localT);
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g = (int)(yellow.g + (red.g - yellow.g) * localT);
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b = (int)(yellow.b + (red.b - yellow.b) * localT);
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}
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colors.Add($"rgba({r}, {g}, {b}, {alpha})");
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}
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return colors;
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}
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private async Task OnDaysChangedAsync()
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{
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await ShowDetail(currDetail);
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}
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private async Task ReloadData()
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{
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ParetoDay = await SDetService.GetParetoStatsDayAsync();
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//calcolo le statistiche aggregate e le aggiungo
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var machDay = await SAggService.GetParetoStatsDayAsync(0);
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foreach (var item in machDay)
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{
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ParetoDay.Add(new StatInfoDto()
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{
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Title = item.Key,
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DataCollection = item.Value.Where(x => x.Label != "ALL").ToList(),
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Grouping = StatInfoDto.AggrLevel.Machine,
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Type = item.Key.Contains("#") ? StatInfoDto.DataType.Count : StatInfoDto.DataType.AvgDuration
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});
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}
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}
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/// <summary>
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/// abilita visualizzaione grafico dettagli x metodo indicato
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/// </summary>
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/// <param name="selDetail"></param>
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private async Task ShowDetail(string selDetail)
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{
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currDetail = selDetail;
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if (currStatSel != null)
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{
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DateTime adesso = DateTime.Now;
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bool isCount = currStatSel.Type == StatInfoDto.DataType.Count;
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bool grpMachine = currStatSel.Grouping == StatInfoDto.AggrLevel.Machine;
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switch (currStatSel.Grouping)
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{
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case StatInfoDto.AggrLevel.Service:
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case StatInfoDto.AggrLevel.Machine:
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// recupero statistiche aggregate 7 gg..
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var rawAggrData = await SAggService.GetFiltAsync(adesso.AddDays(-numDays), adesso);
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// escludo gli "all"
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// filtro x selezione (macchina o servizio)...
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if (grpMachine)
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{
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rawAggrData = rawAggrData.Where(x => x.MachineId == selDetail).ToList();
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}
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else
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{
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rawAggrData = rawAggrData.Where(x => !x.MachineId.Equals("all", StringComparison.InvariantCultureIgnoreCase) && x.Destination == selDetail).ToList();
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}
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// conversione con grouping
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tsData = rawAggrData.Select(r => new chartJsData.chartJsTSerie() { x = r.Hour, y = (double)r.AvgDuration })
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.OrderBy(o => o.x)
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.ToList();
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// ...secondo tipo richiesto (macchina/server e duration/count)
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tsDataDetail = SAggService.GetTimeSeriesData(rawAggrData, grpMachine, isCount);
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break;
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case StatInfoDto.AggrLevel.Method:
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// recupero dettaglio 7gg...
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List<StatsDetailModel> rawData = await SDetService.GetFiltAsync(adesso.AddDays(-numDays), adesso, "", selDetail);
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// conversione con grouping
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tsData = rawData.Select(r => new chartJsData.chartJsTSerie() { x = r.Hour, y = (double)r.AvgDuration })
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.OrderBy(o => o.x)
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.ToList();
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// ...secondo tipo richiesto (duration/count)
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tsDataDetail = SDetService.GetTimeSeriesData(rawData, isCount);
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break;
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case StatInfoDto.AggrLevel.None:
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default:
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break;
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}
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lineTitles = tsDataDetail.Select(x => x.SeriesName).ToList();
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TSDataMulti = tsDataDetail.Select(x => x.DataPoints).ToList();
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}
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}
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#endregion Private Methods
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}
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} |