#region Setup
using System;
using System.Collections.Generic;
using System.Globalization;
using System.IO;
using System.Linq;
using ChartForgeX.Core;
using ChartForgeX.Primitives;
using ChartForgeX.Rendering;
using ChartForgeX.Themes;
using ChartForgeX.Topology;
using ChartForgeX.Typography;
using ChartForgeX.VisualArtifacts;
using ChartForgeX.VisualBlocks;

var mode = VisualThemeMode.Dark;
var theme = VisualTheme.Graphite();
var model = HistogramRecipe.Create("compact", mode);
var context = new VisualRenderContext(
    new VisualLayoutOptions(new VisualSize(360, 360)), theme, mode,
    new VisualFrame("Ticket resolution time", "Service desk tickets closed in October 2026, counted in widening intervals", showLegend: false, showSurface: false));
var prepared = model.Prepare(context);
File.WriteAllText("visual.svg", prepared.ToSvg());
File.WriteAllBytes("visual.png", prepared.ToPng());
File.WriteAllText("visual.html", prepared.ToArtifact("example", VisualArtifactKind.Chart).ToHtmlPage());
#endregion

/// <summary>Ticket resolution times as counts, shares and densities, and signed or weighted means, over unequal intervals.</summary>
public static class HistogramRecipe {
    /// <summary>Creates a native histogram while retaining its source observations and raw bin aggregates.</summary>
    public static Chart Create(string variant = "wide", VisualThemeMode mode = VisualThemeMode.Light) {
        var aggregation = variant.StartsWith("compact-", StringComparison.Ordinal) ? variant.Substring(8) : variant;
        if (aggregation == "compact") aggregation = "wide";
        var chart = Chart.Create().WithDataLabels();
        ChartSeries observations;
        if (aggregation is "wide" or "density" or "probability" or "probability-density") {
            var encoding = aggregation switch {
                "density" => ChartHistogramEncoding.Density,
                "probability" => ChartHistogramEncoding.Probability,
                "probability-density" => ChartHistogramEncoding.ProbabilityDensity,
                _ => ChartHistogramEncoding.Value
            };
            // Hours to resolve each service desk ticket closed in October 2026; the intervals widen as tickets get rarer.
            var hours = new[] {
                .2, .3, .4, .5, .6, .8, .9, 1.1, 1.2, 1.4, 1.5, 1.6, 1.8, 1.9,
                2.1, 2.2, 2.3, 2.5, 2.6, 2.7, 2.8, 3, 3.1, 3.2, 3.3, 3.4, 3.5, 3.6, 3.7, 3.8, 3.9,
                4.2, 4.4, 4.7, 5, 5.2, 5.5, 5.8, 6, 6.3, 6.5, 6.8, 7, 7.2, 7.5, 7.8,
                8.5, 9, 9.6, 10.4, 11, 12, 13, 14.5, 15.5, 17, 18.5, 20, 22.5
            };
            observations = ChartSeries.CreateHistogram(new ChartSeriesId("resolution-time"), "Tickets", hours,
                ChartHistogramBinLayout.FromBoundaries(new[] { 0d, 2, 4, 8, 16, 24 }), encoding);
            chart.WithXAxis("Resolution time (hours)").WithYAxis(aggregation switch {
                "density" => "Tickets per hour", "probability" => "Share of tickets",
                "probability-density" => "Share of tickets per hour", _ => "Tickets"
            });
            chart.Options.XAxis.WithBounds(0, 24);
            foreach (var bin in observations.HistogramBins) observations.WithPointLabel(bin.Index, bin.Count.ToString(CultureInfo.InvariantCulture));
            return chart.AddSeries(observations);
        }
        var layout = ChartHistogramBinLayout.FromBoundaries(new[] { 0d, 1, 3, 6, 10 });
        chart.WithXAxis("Measurement").Options.XAxis.WithBounds(0, 10);
        if (aggregation == "weighted-mean") {
            observations = ChartSeries.CreateHistogram(new ChartSeriesId("weighted-quantity"), "Weighted quantity",
                new[] { new ChartHistogramObservation(.2, 10, 1), new ChartHistogramObservation(.4, 20, 3),
                    new ChartHistogramObservation(1.2, -4, 2), new ChartHistogramObservation(2.5, 12, 1),
                    new ChartHistogramObservation(6.1, 9, 0), new ChartHistogramObservation(9, 5, 4) },
                layout, ChartHistogramAggregation.WeightedMean);
            chart.WithYAxis("Weighted mean quantity");
        } else if (aggregation is "sum" or "mean") {
            observations = ChartSeries.CreateHistogram(new ChartSeriesId("quantity"), "Quantity",
                new[] { new ChartPoint(.2, 10), new ChartPoint(.4, -4), new ChartPoint(1.2, 8),
                    new ChartPoint(2.5, 12), new ChartPoint(6.1, -4), new ChartPoint(9, -8) }, layout,
                aggregation == "sum" ? ChartHistogramAggregation.Sum : ChartHistogramAggregation.Mean);
            chart.WithYAxis(aggregation == "sum" ? "Total quantity" : "Mean quantity");
        } else throw new ArgumentOutOfRangeException(nameof(variant));
        return chart.AddSeries(observations);
    }
}