public async Task <SessionDetailDTO> Handle(GetSessionDetailByFileIdQuery request, CancellationToken cancellationToken)
{
var(fileName, fileBytes) = await _sessionService.DownloadAsset(request.FileId);
if (fileName.EndsWith(".gz"))
{
fileBytes = fileBytes.Decompress();
}
var session = JsonConvert.DeserializeObject <Session>(Encoding.UTF8.GetString(fileBytes));
var infos = session.Info.GetType().GetProperties().Where(p => p.GetCustomAttributes(false).Any(a => a is DescriptionAttribute)).ToDictionary(p => (p.GetCustomAttributes(false).First(a => a is DescriptionAttribute) as DescriptionAttribute)?.Description, p => Convert.ToString(p.GetValue(session.Info)));
var sensorItems = SensorReport.GetReportFromSessionSensorData(session.Runs.Select(r => r.SensorData)).ToArray();
var frametimeStatisticsProviderOptions = new FrametimeStatisticProviderOptions()
{
MovingAverageWindowSize = 1000,
FpsValuesRoundingDigits = 2
};
var plotSettings = new PlotSettings();
var frametimeStatisticProvider = new FrametimeStatisticProvider(frametimeStatisticsProviderOptions);
var fpsGraphBuilder = new FpsGraphPlotBuilder(frametimeStatisticsProviderOptions, frametimeStatisticProvider);
fpsGraphBuilder.BuildPlotmodel(session, plotSettings, 0, 1000, ERemoveOutlierMethod.None);
var frametimeGraphBuilder = new FrametimePlotBuilder(frametimeStatisticsProviderOptions, frametimeStatisticProvider);
frametimeGraphBuilder.BuildPlotmodel(session, plotSettings, 0, 1000, ERemoveOutlierMethod.None);
var exporter = new SvgExporter {
Width = 1000, Height = 400
};
using var frametimeGraphStream = new MemoryStream();
exporter.Export(frametimeGraphBuilder.PlotModel, frametimeGraphStream);
using var fpsGraphStream = new MemoryStream();
exporter.Export(fpsGraphBuilder.PlotModel, fpsGraphStream);
var frametimes = session.GetFrametimeTimeWindow(0, 1000, frametimeStatisticsProviderOptions, ERemoveOutlierMethod.None);
var fpsTresholdsLabels = FrametimeStatisticProvider.FPSTHRESHOLDS.ToArray();
var fpsTresholdsCounts = frametimeStatisticProvider.GetFpsThresholdCounts(frametimes, false).Select(val => (double)val / frametimes.Count()).ToArray();
var fpsTresholdsCountsDictionary = Enumerable.Range(0, fpsTresholdsLabels.Count()).ToDictionary(idx => (int)fpsTresholdsLabels[idx], idx => fpsTresholdsCounts[idx]).Where(kvp => !double.IsNaN(kvp.Value));
var fpsTresholdsTimes = frametimeStatisticProvider.GetFpsThresholdTimes(frametimes, false).Select(val => val / frametimes.Sum()).ToArray();
var fpsTresholdsTimesDictionary = Enumerable.Range(0, fpsTresholdsLabels.Count()).ToDictionary(idx => (int)fpsTresholdsLabels[idx], idx => fpsTresholdsTimes[idx]).Where(kvp => !double.IsNaN(kvp.Value));
var fpsMetricDictionary = Enum.GetValues(typeof(EMetric)).Cast <EMetric>().ToDictionary(metric => metric.GetAttribute <DescriptionAttribute>().Description, metric => frametimeStatisticProvider.GetFpsMetricValue(frametimes, metric)).Where(kvp => !double.IsNaN(kvp.Value));
return(new SessionDetailDTO()
{
Infos = infos,
SensorItems = sensorItems,
FpsTresholdsCounts = fpsTresholdsCountsDictionary,
FpsTresholdsTimes = fpsTresholdsTimesDictionary,
FpsMetric = fpsMetricDictionary,
FpsGraph = Encoding.UTF8.GetString(fpsGraphStream.ToArray()),
FrametimeGraph = Encoding.UTF8.GetString(frametimeGraphStream.ToArray())
});
}
private void Svg2Png(PlotModel model)
{
SvgExporter exporter = new SvgExporter {
Width = 600, Height = 400
};
var svg = new SkiaSharp.Extended.Svg.SKSvg();
var imgQuality = 80;
using (FileStream fs = System.IO.File.Create("temp.svg"))
{
exporter.Export(model, fs);
}
using (FileStream png = System.IO.File.Create("img.png"))
{
var pict = svg.Load("temp.svg");
var dimen = new SKSizeI(
(int)Math.Ceiling(pict.CullRect.Width),
(int)Math.Ceiling(pict.CullRect.Height)
);
var matrix = SKMatrix.MakeScale(1, 1);
var img = SKImage.FromPicture(pict, dimen, matrix);
// convert to PNG
var skdata = img.Encode(SKEncodedImageFormat.Png, imgQuality);
skdata.SaveTo(png);
}
}
public static async Task DoWork()
{
var provider = new ServiceCollection()
.AddSingleton <IAmazonCloudWatch>(new AmazonCloudWatchClient(RegionEndpoint.EUWest1))
.AddCloudWatchGraphs()
.BuildServiceProvider();
var plotBuilder = provider.GetService <IPlotBuilder>();
var plotModel = await plotBuilder.WithTime(DateTime.UtcNow.AddDays(-12), DateTime.UtcNow)
.AddMetric("AWS/Logs", "IncomingBytes")
.WithLabel("Average Incoming Bytes")
.PlotGraph(GraphType.Line, StatisticType.Average, TimeSpan.FromMinutes(30))
.WithTitle("CloudWatch Logs Incoming Bytes")
.Generate();
var svgExporter = new SvgExporter
{
Width = 750,
Height = 300
};
using (var output = File.Open("example.svg", FileMode.Create))
{
svgExporter.Export(plotModel, output);
}
}
private static void SaveCustomerSegmentationPlotChart(IEnumerable <ClusteringPrediction> predictions, string plotLocation)
{
Common.ConsoleHelper.ConsoleWriteHeader("Plot Customer Segmentation");
var plot = new PlotModel {
Title = "Customer Segmentation", IsLegendVisible = true
};
var clusters = predictions.Select(p => p.SelectedClusterId).Distinct().OrderBy(x => x);
foreach (var cluster in clusters)
{
var scatter = new ScatterSeries {
MarkerType = MarkerType.Circle, MarkerStrokeThickness = 2, Title = $"Cluster: {cluster}", RenderInLegend = true
};
var series = predictions
.Where(p => p.SelectedClusterId == cluster)
.Select(p => new ScatterPoint(p.Location[0], p.Location[1])).ToArray();
scatter.Points.AddRange(series);
plot.Series.Add(scatter);
}
plot.DefaultColors = OxyPalettes.HueDistinct(plot.Series.Count).Colors;
var exporter = new SvgExporter {
Width = 600, Height = 400
};
using (var fs = new System.IO.FileStream(plotLocation, System.IO.FileMode.Create))
{
exporter.Export(plot, fs);
}
Console.WriteLine($"Plot location: {plotLocation}");
}
public void ExportDemoMap()
{
//var inputWad = @"C:\Games\Doom\IWADS\doom.wad";
var inputWad = @"C:\Games\Doom\levels\10sector.wad";
//var inputWad = @"C:\Users\aramant\Desktop\Doom\freedoom1-udmf.wad";
//var inputWad = @"C:\Users\aramant\Desktop\Doom\10sector-udmf.wad";
var baseOutputPath = Path.Combine(Environment.GetFolderPath(Environment.SpecialFolder.Desktop), "Doom", "SVGs");
if (!Directory.Exists(baseOutputPath))
{
Directory.CreateDirectory(baseOutputPath);
}
var wadName = Path.GetFileNameWithoutExtension(inputWad);
foreach (var(name, map) in WadLoader.Load(inputWad))
{
try
{
SvgExporter.Export(map,
Path.Combine(baseOutputPath, $"{wadName}.{name}.svg"));
}
catch (Exception e)
{
Console.WriteLine(name + ": " + e);
}
}
}
/// <summary>
/// Asserts that a plot is equal to the plot stored in the "baseline" folder.
/// 1. Renders the plot to file.svg
/// 2. If the baseline does not exist, the current plot is copied to the baseline folder.
/// 3. Checks that the svg file is equal to a baseline svg.
/// </summary>
/// <param name="plot">The plot.</param>
/// <param name="name">The name of the baseline file.</param>
public static void AreEqual(PlotModel plot, string name)
{
// string name = new System.Diagnostics.StackFrame(1).GetMethod().Name;
string path = name + ".svg";
string baseline = @"baseline\" + path;
using (var s = File.Create(path))
{
SvgExporter.Export(plot, s, 800, 500, false);
}
if (!Directory.Exists("baseline"))
{
Directory.CreateDirectory("baseline");
}
if (!File.Exists(baseline))
{
File.Copy(path, baseline);
return;
}
var baselineSvg = File.ReadAllText(baseline);
var actualSvg = File.ReadAllText(path);
Assert.IsTrue(string.Equals(baselineSvg, actualSvg), "Actual svg is not equal to baseline (" + Path.GetFullPath(baseline) + ")");
}
public void Export_AllExamplesInExampleLibrary_CheckThatAllFilesExist()
{
const string DestinationDirectory = "SvgExporterTests_ExampleLibrary";
if (!Directory.Exists(DestinationDirectory))
{
Directory.CreateDirectory(DestinationDirectory);
}
foreach (var example in Examples.GetList())
{
if (example.PlotModel == null)
{
continue;
}
var path = Path.Combine(DestinationDirectory, StringHelper.CreateValidFileName(example.Category + " - " + example.Title, ".svg"));
using (var s = File.Create(path))
{
SvgExporter.Export(example.PlotModel, s, 800, 500, true);
}
Assert.IsTrue(File.Exists(path));
}
}
public void SaveAsSVG()
{
string filename;
try
{
if (ShowSaveFileDialog("svg", "SVG files|*.svg", out filename))
{
//var pngExporter = new OxyPlot.Wpf.PngExporter { Width = (int)Plot.Width, Height = (int)Plot.Height, Background = OxyColors.White };
//OxyPlot.Wpf.SvgExporter.Export(Plot, filename, (int)Plot.Width, (int)Plot.Height, OxyColors.White);
using (var stream = File.Create(filename))
{
var exporter = new SvgExporter {
Width = (int)Plot.Width, Height = (int)Plot.Height
};
exporter.Export(Plot, stream);
}
}
}
catch (Exception e)
{
System.Windows.MessageBox.Show(e.Message, "Error");
}
}
static void VisualizeMulticlassClassification(string algorithmName, IEnumerable <Wine> testData, IEnumerable <WineClassification> predictedData, string savePath)
{
try
{
var plot = new PlotModel {
Title = "Iris Type Prediction", IsLegendVisible = true
};
var types = predictedData.Select(x => x.Predicted_result).Distinct().OrderBy(x => x);
foreach (var type in types)
{
var scatter = new ScatterSeries()
{
MarkerType = MarkerType.Circle, MarkerStrokeThickness = 2, Title = $"type : {type}"
};
var series = predictedData.Where(x => x.Predicted_result == type).Select(p => new ScatterPoint(p.Location[0], p.Location[1]));
scatter.Points.AddRange(series);
plot.Series.Add(scatter);
}
plot.DefaultColors = OxyPalettes.HueDistinct(plot.Series.Count).Colors;
var exporter = new SvgExporter {
Width = 600, Height = 400
};
using (var fs = new FileStream(savePath, FileMode.Create))
{
exporter.Export(plot, fs);
}
Console.WriteLine($"Classification svg generated at {savePath}.");
}
catch
{
Console.WriteLine($"Unable to generate visualization for {algorithmName}");
}
}
static void VisualizeClustering(IEnumerable <IrisClustering> predictedData, string savePath)
{
var plot = new PlotModel {
Title = "Iris Cluster", IsLegendVisible = true
};
var clusters = predictedData.Select(x => x.Predicted_cluster).Distinct().OrderBy(x => x);
foreach (var cluster in clusters)
{
var scatter = new ScatterSeries()
{
MarkerType = MarkerType.Circle, MarkerStrokeThickness = 2, Title = $"Cluster : {cluster}"
};
var series = predictedData.Where(x => x.Predicted_cluster == cluster).Select(p => new ScatterPoint(p.Location[0], p.Location[1]));
scatter.Points.AddRange(series);
plot.Series.Add(scatter);
}
plot.DefaultColors = OxyPalettes.HueDistinct(plot.Series.Count).Colors;
var exporter = new SvgExporter {
Width = 600, Height = 400
};
using (var fs = new FileStream(savePath, FileMode.Create))
{
exporter.Export(plot, fs);
}
Console.WriteLine($"Clustering svg generated at {savePath}.");
}
public MainViewModel()
{
_logger.Info("MainViewModel()");
//MyModel = new PlotModel { Title = "Example 1" };
MyModel = new PlotModel();
//var seriesItem = new FunctionSeries(Math.Cos, 0, 10, 0.1, "cos(x)");
//seriesItem.Color = OxyColors.Black;
//MyModel.Series.Add(seriesItem);
//MyModel.Series.Add(new FunctionSeries(Math.Sin, 0, 10, 0.1, "sin(x)"));
//var customSeries = new LineSeries();
//customSeries.Points.Add(new DataPoint(1, 0.5));
//customSeries.Points.Add(new DataPoint(2, 0.5));
//customSeries.Points.Add(new DataPoint(3, 0));
//MyModel.Series.Add(customSeries);
//CreateLogicValueCase();
CreateCase1();
var fileName = @"c:\Users\Acer\Documents\GitHub\SymOntoClay\TestSandbox\bin\Debug\net5.0\SFunction.svg";
using (var stream = File.Create(fileName))
{
var exporter = new SvgExporter {
Width = 600, Height = 400
};
exporter.Export(MyModel, stream);
}
}
public static void Run()
{
var outputToFile = "test-oxyplot-static-export-file";
var outputExportStreamOOP = "test-oxyplot-export-stream";
var width = 1024;
var height = 768;
var resolutions = new[] { 72d, 96d, 182d };
var model = HeatMapExample();//BuildPlotModel();
foreach (var resolution in resolutions)
{
// export using the instance methods
using (var stream = new MemoryStream())
{
var strPath = $"{outputExportStreamOOP}{resolution}.svg";
var strFull = Path.Combine(Directory.GetCurrentDirectory(), strPath);
var jpegExporter = new SvgExporter();
jpegExporter.Export(model, stream);
System.IO.File.WriteAllBytes(strFull, stream.ToArray());
Process.Start(@"cmd.exe ", @"/c " + strFull);
}
}
}
public void Export_AllExamplesInExampleLibrary_CheckThatAllFilesExist()
{
const string DestinationDirectory = "SvgExporterTests_ExampleLibrary";
if (!Directory.Exists(DestinationDirectory))
{
Directory.CreateDirectory(DestinationDirectory);
}
foreach (var example in Examples.GetList())
{
void ExportModelAndCheckFileExists(PlotModel model, string fileName)
{
if (model == null)
{
return;
}
var path = Path.Combine(DestinationDirectory, FileNameUtilities.CreateValidFileName(fileName, ".svg"));
using (var s = File.Create(path))
{
SvgExporter.Export(model, s, 800, 500, true);
}
Assert.IsTrue(File.Exists(path));
}
ExportModelAndCheckFileExists(example.PlotModel, $"{example.Category} - {example.Title}");
ExportModelAndCheckFileExists(example.TransposedPlotModel, $"{example.Category} - {example.Title} - Transposed");
}
}
Pixbuf Load(PlotModel model, double width, double height)
{
MemoryStream stream = new MemoryStream();
SvgExporter.Export(model, stream, width, height, false, new PangoTextMeasurer());
stream.Seek(0, SeekOrigin.Begin);
return(new Pixbuf(stream));
}
private static MemoryStream ExportToStream(PlotModel plot, int horizontalRes, int verticalRes)
{
var exporter = new SvgExporter {
Width = horizontalRes, Height = verticalRes, IsDocument = true
};
var memStream = new MemoryStream();
exporter.Export(plot, memStream);
return(memStream);
}
/// <summary>
/// Exports specified model into SVG format.
/// </summary>
/// <param name="exportFilePath"></param>
/// <param name="plotModel"></param>
public void ExportPlotModelToSvg(string exportFilePath, PlotModel plotModel)
{
using (var stream = File.Create($"{exportFilePath}.svg"))
{
var exporter = new SvgExporter {
Width = 600, Height = 600
};
exporter.Export(plotModel, stream);
}
}
public void TestMultilineAlignment()
{
var exporter = new SvgExporter {
Width = 1000, Height = 750
};
var model = RenderingCapabilities.DrawMultilineTextAlignmentRotation();
using var stream = File.Create(Path.Combine(this.outputDirectory, "Multiline-Alignment.svg"));
exporter.Export(model, stream);
}
/// <summary>
/// Exportar o modelo atual para SVG
/// </summary>
public void ExportSVG(string path)
{
using (var stream = File.Create(path))
{
var exporter = new SvgExporter {
Width = 1920, Height = 1080
};
exporter.Export(model, stream);
}
}
public void export(string path, int w = 1280, int h = 720)
{
using (var stream = File.Create(path)) {
// Export to svg, store in memory stream
var exporter = new SvgExporter {
Width = w, Height = h
};
exporter.Export(Model, stream);
}
}
/// <summary>
/// Exports the plot to an .svg file. The resulting .svg files seem to not render properly in Google Chrome,
/// but work in Mozilla Firefox, and Microsoft Internet Explorer/Edge.
/// </summary>
public void ExportToSvg(string path, int width = 800, int height = 600)
{
using (var s = File.Create(path))
{
var svgExporter = new SvgExporter {
Width = width, Height = height, UseVerticalTextAlignmentWorkaround = true
};
svgExporter.Export(Model, s);
}
}
private static void SavePlotToSvg(string filePath, PlotModel plot)
{
// OxyPlot.Core: Works, but is SVG; PDF should also work from core.
using (var stream = new FileStream(filePath, FileMode.Create, FileAccess.Write, FileShare.ReadWrite))
{
var svgExporter = new SvgExporter {
Width = ExportImageWidth, Height = ExportImageHeight
};
svgExporter.Export(plot, stream);
}
}
public void BackgroundColor()
{
var model = ShowCases.CreateNormalDistributionModel();
model.Background = OxyColors.AliceBlue;
var exporter = new SvgExporter {
Width = 1000, Height = 750
};
using var stream = File.Create(Path.Combine(this.outputDirectory, "Background.svg"));
exporter.Export(model, stream);
}
public static void Show(string wndTitlle, PlotModel model)
{
// export using the instance methods
using (var stream = new MemoryStream())
{
var strPath = $"{Guid.NewGuid().ToString()}.svg";
var strFull = Path.Combine(Directory.GetCurrentDirectory(), strPath);
var jpegExporter = new SvgExporter();
jpegExporter.Export(model, stream);
System.IO.File.WriteAllBytes(strFull, stream.ToArray());
Process.Start(@"cmd.exe ", @"/c " + strFull);
}
}
public void Export_TestPlot_ValidSvgString()
{
var plotModel = new PlotModel("Test plot");
const string FileName = "SvgExporterTests_Plot1.svg";
plotModel.Series.Add(new FunctionSeries(Math.Sin, 0, Math.PI * 8, 200, "Math.Sin"));
using (var s = File.Create(FileName))
{
var rc = new ShapesRenderContext(null);
SvgExporter.Export(plotModel, s, 800, 500, true, rc);
}
SvgAssert.IsValidFile(FileName);
}
public void Test_Clipping()
{
var plotModel = new PlotModel {
Title = "Clipping"
};
var clipRect = new OxyRect(100, 100, 100, 100);
var center = new ScreenPoint(150, 150);
var radius = 60;
plotModel.Annotations.Add(new RenderingCapabilities.DelegateAnnotation(rc =>
{
using (rc.AutoResetClip(clipRect))
{
rc.DrawCircle(center, radius, OxyColors.Black, OxyColors.Undefined, 0, EdgeRenderingMode.Automatic);
}
}));
byte[] baseline;
using (var stream = new MemoryStream())
{
SvgExporter.Export(plotModel, stream, 400, 400, false);
baseline = stream.ToArray();
}
plotModel.Annotations.Clear();
plotModel.Annotations.Add(new RenderingCapabilities.DelegateAnnotation(rc =>
{
// reset without a clipping rect being set
rc.ResetClip();
rc.ResetClip();
// set clipping multiple times
rc.SetClip(clipRect);
rc.SetClip(clipRect);
rc.SetClip(clipRect);
rc.DrawCircle(center, radius, OxyColors.Black, OxyColors.Undefined, 0, EdgeRenderingMode.Automatic);
rc.ResetClip();
}));
byte[] setMultiple;
using (var stream = new MemoryStream())
{
SvgExporter.Export(plotModel, stream, 400, 400, false);
setMultiple = stream.ToArray();
}
Assert.IsTrue(baseline.SequenceEqual(setMultiple));
}
private void SaveSvg_Click(object sender, RoutedEventArgs e)
{
var d = new SaveFileDialog {
Filter = "Svg files (*.svg)|*.svg", DefaultExt = ".svg"
};
if (true == d.ShowDialog())
{
using (var s = d.OpenFile())
{
var rc = new SilverlightRenderContext(new Canvas());
SvgExporter.Export(this.plot1.ActualModel, s, this.plot1.ActualWidth, this.plot1.ActualHeight, true, rc);
}
}
}
private async void csvButton_Click(object sender, RoutedEventArgs e)
{
StorageFile newFile = await DownloadsFolder.CreateFileAsync("graph.svg", CreationCollisionOption.GenerateUniqueName);
await Task.Run(async() =>
{
using (Stream outputStream = await newFile.OpenStreamForWriteAsync())
{
var exporter = new SvgExporter {
Width = 600, Height = 400
};
exporter.Export(MyModel, outputStream);
}
});
}
public void Export_TestPlot_ValidSvgString()
{
var plotModel = new PlotModel {
Title = "Test plot"
};
const string FileName = "SvgExporterTests_Plot1.svg";
plotModel.Series.Add(new FunctionSeries(Math.Sin, 0, Math.PI * 8, 200, "Math.Sin"));
using (var s = File.Create(FileName))
{
SvgExporter.Export(plotModel, s, 800, 500, true);
}
SvgAssert.IsValidFile(FileName);
}
static void VisualizeRegression(string algorithmName, IEnumerable <TaxiFare> testData, IEnumerable <TaxiFareRegression> predictedData, RegressionMetrics regressionMetrics, string savePath)
{
var plot = new PlotModel {
Title = $"{algorithmName} - Taxi Fare Regression", IsLegendVisible = true
};
plot.Axes.Add(new LinearAxis()
{
Title = regressionMetrics.MeanSquaredError.ToString(),
Position = AxisPosition.Bottom,
});
var lineActual = new LineSeries()
{
Title = "Actual Price",
Color = OxyColors.Green
};
var linePredict = new LineSeries
{
Title = "Predicted Price",
Color = OxyColors.Red
};
var testArray = testData.ToArray();
for (var x = 0; x < testArray.Length; x++)
{
var test = testArray[x];
lineActual.Points.Add(new DataPoint(x, test.fare_amount));
}
var predictArray = predictedData.ToArray();
for (var x = 0; x < predictArray.Length; x++)
{
var predict = predictArray[x];
linePredict.Points.Add(new DataPoint(x, predict.Predicted_Score));
}
plot.Series.Add(lineActual);
plot.Series.Add(linePredict);
var exporter = new SvgExporter {
Width = 600, Height = 400
};
using (var fs = new FileStream(savePath, FileMode.Create))
{
exporter.Export(plot, fs);
}
Console.WriteLine($"Regression svg generated at {savePath}.");
}
public void SaveSvg()
{
var path = this.GetFilename(".svg files|*.svg", ".svg");
if (path != null)
{
// Using a WPF render context to measure the text
var textMeasurer = new ShapesRenderContext(new Canvas());
using (var s = File.Create(path))
{
SvgExporter.Export(this.Model, s, this.Plot.ActualWidth, this.Plot.ActualHeight, true, textMeasurer);
}
OpenContainingFolder(path);
}
}
/// <summary>
/// Экпорт диаграммы в один из типов
/// </summary>
/// <param name="type">Тип для экспорта</param>
public void ExportDiagram(ExportType type)
{
SaveFileDialog saveDialog = new SaveFileDialog();
saveDialog.Filter = type + " файлы (*." + type + ")|*." + type;
bool? result = saveDialog.ShowDialog();
if (result == true)
switch (type)
{
case ExportType.pdf:
PdfExporter pdfExporter = new PdfExporter();
pdfExporter.Export(DiagramNetwork, saveDialog.FileName);
break;
case ExportType.svg:
SvgExporter svgExporter = new SvgExporter();
svgExporter.Export(DiagramNetwork, saveDialog.FileName);
break;
}
}