public async Task <IActionResult> CreateIteration(IterationModel model)
{
var entity = mapper.Map <Iteration>(model);
await dbContext.AddAsync(entity);
await dbContext.SaveChangesAsync();
// TODO: Return 201 with location header
return(Ok());
}
public IterationPage(Guid projectId, string projectName, IterationModel iterationModel)
{
InitializeComponent();
this.projectId = projectId;
this.projectName = projectName;
List <IterationModel> iterationModels = MainWindow.currentWindow.GetIterations(projectId).Where(Entity => Entity.Status != "New").ToList();
IterationListView.ItemsSource = iterationModels;
Thread thread = new Thread(new ParameterizedThreadStart(UpdateIterationState));
thread.Start(iterationModel);
}
private static ScenarioBenchmark PostProcessing()
{
PrintHeader("Starting POST");
var scenarioBenchmark = new ScenarioBenchmark("MusicStore")
{
Namespace = "JitBench"
};
// Create (measured) test entries for this scenario.
var startup = new ScenarioTestModel("Startup");
scenarioBenchmark.Tests.Add(startup);
var request = new ScenarioTestModel("First Request");
scenarioBenchmark.Tests.Add(request);
// TODO: add response time once jit bench is updated to
// report more reasonable numbers.
// Add measured metrics to each test.
startup.Performance.Metrics.Add(new MetricModel {
Name = "Duration",
DisplayName = "Duration",
Unit = "ms"
});
request.Performance.Metrics.Add(new MetricModel {
Name = "Duration",
DisplayName = "Duration",
Unit = "ms"
});
for (int i = 0; i < s_iterations; ++i)
{
var startupIteration = new IterationModel {
Iteration = new Dictionary <string, double>()
};
startupIteration.Iteration.Add("Duration", s_startupTimes[i]);
startup.Performance.IterationModels.Add(startupIteration);
var requestIteration = new IterationModel {
Iteration = new Dictionary <string, double>()
};
requestIteration.Iteration.Add("Duration", s_requestTimes[i]);
request.Performance.IterationModels.Add(requestIteration);
}
return(scenarioBenchmark);
}
private static void addMeasurement(ref ScenarioBenchmark scenario, string name, MetricModel metric, double value)
{
var iteration = new IterationModel
{
Iteration = new Dictionary <string, double>()
};
iteration.Iteration.Add(metric.Name, value);
var size = new ScenarioTestModel(name);
size.Performance.Metrics.Add(metric);
size.Performance.IterationModels.Add(iteration);
scenario.Tests.Add(size);
}
/// <summary>
/// Converts IterationResult into Benchview's IterationModel, remaping and filtering the metrics reported
/// </summary>
static IterationModel ConvertIterationResult(IterationResult iterationResult, Func <Metric, Metric> metricMapping)
{
IterationModel iterationModel = new IterationModel();
iterationModel.Iteration = new Dictionary <string, double>();
foreach (KeyValuePair <Metric, double> measurement in iterationResult.Measurements)
{
Metric finalMetric = metricMapping(measurement.Key);
if (!finalMetric.Equals(default(Metric)))
{
iterationModel.Iteration.Add(finalMetric.Name, measurement.Value);
}
}
return(iterationModel);
}
public static BurndownChartModel ConvertIterationDataToBurndownChartModel(IterationModel data)
{
const int daysInIteration = 10;
var points = data.DataPoints.Select(x => x.RemainingPoints).ToList();
var everhour = data.DataPoints.Select(x => x.RemainingEverhourPoints).ToList();
var chartModel = new BurndownChartModel
{
IdealBurndown = MakeIdealBurndown(data.InitialPoints, daysInIteration),
IdealEverhourBurndown = MakeIdealBurndown(data.InitialEverhourPoints ?? data.InitialPoints, daysInIteration),
PointBurndown = MakePointBurndown(points),
EverhourBurndown = MakePointBurndown(everhour)
};
return(chartModel);
}
private void TrainButton_Click(object sender, RoutedEventArgs e)
{
IterationModel iterationModel = null;
try
{
iterationModel = MainWindow.currentWindow.TrainProject(projectId);
}
catch (HttpOperationException ex)
{
string result = ex.Response.Content;
TrainResponseModel response = Utils.Utils.JsonDeserialize <TrainResponseModel>(result);
if (response != null && !String.IsNullOrEmpty(response.Code))
{
switch (response.Code)
{
case "BadRequestTrainingNotNeeded":
MessageBox.Show("Nothing has changed since previous training.");
return;
case "BadRequestTrainingValidationFailed":
MessageBox.Show("Your project can't be trained just yet. Make sure you have at least 2 tags with at least 5 images in each.");
return;
default:
MessageBox.Show(response.Code);
return;
}
}
else
{
RateLimitResponseModel limitResponse = Utils.Utils.JsonDeserialize <RateLimitResponseModel>(result);
if (limitResponse != null)
{
MessageBox.Show(limitResponse.message);
return;
}
}
MessageBox.Show("an error occurs");
return;
}
IterationPage iterationPage = new IterationPage(projectId, projectName, iterationModel);
this.NavigationService.Navigate(iterationPage);
}
/// <summary>
/// Carga las tareas de una iteración
/// </summary>
private void LoadTasksByIteration(TreeNode trnParent, int intID)
{
NodeModel objNode = Project.Iterations.SearchRecursive(intID);
// Si hay alguna iteración
if (objNode != null)
{
IterationModel objIteration = objNode.Tag as IterationModel;
if (objIteration != null)
{
foreach (TaskModel objTask in objIteration.Tasks)
{
trvProject.AddNode(trnParent, GetNodeKey(NodeType.Task, objTask.ID),
objTask.Name, true, 0, System.Drawing.Color.Black, false);
}
}
}
}
private void UpdateIterationState(object obj)
{
IterationModel iterationModel = (IterationModel)obj;
if (iterationModel != null)
{
while (iterationModel.Status == "Training")
{
Thread.Sleep(1000);
iterationModel = MainWindow.currentWindow.GetIteration(projectId, iterationModel.Id);
}
iterationModel.IsDefault = true;
MainWindow.currentWindow.UpdateIteration(projectId, iterationModel.Id, iterationModel);
this.Dispatcher.Invoke(new Action(() => {
List <IterationModel> iterationModels = MainWindow.currentWindow.GetIterations(projectId).Where(Entity => Entity.Status != "New").ToList();
IterationListView.ItemsSource = iterationModels;
}));
}
}
/// <summary>
/// Obtiene los proyectos
/// </summary>
private ProjectModelCollection GetProjects()
{
ProjectModelCollection objColProjects = new ProjectModelCollection();
WorkItemStore objWorkItemStore = tfsTeamProject.GetService <WorkItemStore>();
// Carga los proyectos
foreach (Project objTfsProject in objWorkItemStore.Projects)
{
ProjectModel objNewProject = new ProjectModel();
// Asigna los datos
objNewProject.ID = objTfsProject.Id;
objNewProject.Name = objTfsProject.Name;
// Asigna los objetos lazy
objNewProject.Categories.AddRange(LoadCategories(objTfsProject));
// Añade los tipos de tareas
for (int intIndex = 0; intIndex < objTfsProject.WorkItemTypes.Count; intIndex++)
{
objNewProject.TaskTypes.Add(objTfsProject.WorkItemTypes[intIndex].Name);
}
// Recorre las iteraciones
for (int intIndex = 0; intIndex < objTfsProject.IterationRootNodes.Count; intIndex++)
{
NodeModel objNode;
IterationModel objIteration = new IterationModel();
// Añade el nodo
objNode = objNewProject.Iterations.Add(null, objTfsProject.IterationRootNodes[intIndex].Id,
objTfsProject.IterationRootNodes[intIndex].Name, objIteration);
// Asigna los objetos Lazy
objIteration.LazyTasks.LazyData = new Lazy <TaskModelCollection>(() => LoadTasksIteration(objNewProject, objNode.ID ?? 0));
}
// Añade los objetos Lazy
objNewProject.LazyTasks.LazyData = new Lazy <TaskModelCollection>(() => LoadTasks(objNewProject));
// Y lo añade a la colección
objColProjects.Add(objNewProject);
}
// Devuelve los proyectos
return(objColProjects);
}
private async Task TrainProjectsAsync()
{
this.progressControl.IsActive = true;
bool trainingSucceeded = true;
try
{
IterationModel iterationModel = await trainingApi.TrainProjectAsync(this.CurrentProject.Id);
while (true)
{
iterationModel = await trainingApi.GetIterationAsync(this.CurrentProject.Id, iterationModel.Id);
if (iterationModel.Status != "Training")
{
if (iterationModel.Status == "Failed")
{
trainingSucceeded = false;
}
break;
}
await Task.Delay(500);
}
this.needsTraining = false;
}
catch (Exception ex)
{
await Util.GenericApiCallExceptionHandler(ex, "Failure requesting training");
}
this.progressControl.IsActive = false;
if (!trainingSucceeded)
{
await new MessageDialog("Training failed.").ShowAsync();
}
}
public IterationModel GetIteration(Guid collectionId, int projectId, string iterationPath)
{
using (var server = GetServer())
{
TfsTeamProjectCollection collection = server.GetTeamProjectCollection(collectionId);
WorkItemStore wiStore = collection.GetService <WorkItemStore>();
string query = @"SELECT * " +
"FROM WorkItems " +
"WHERE ([System.WorkItemType] = 'Bug' OR [System.WorkItemType] = 'Product Backlog Item' OR [System.WorkItemType] = 'Task') " +
"AND [System.IterationPath] = '@IterationPath' " +
"ORDER BY [System.WorkItemType]";
query = query.Replace("@IterationPath", iterationPath);
var items = wiStore.Query(query);
ICommonStructureService4 css = collection.GetService <ICommonStructureService4>();
var path = GetFullIterationPath(iterationPath);
NodeInfo pathRoot = css.GetNodeFromPath(path);
IterationModel model = Map(pathRoot);
model.WorkItems = Map(items);
return(model);
}
}
private static ScenarioBenchmark AddEtwData(
ScenarioBenchmark scenarioBenchmark,
ScenarioExecutionResult scenarioExecutionResult,
IReadOnlyCollection <string> processesOfInterest,
IReadOnlyCollection <string> modulesOfInterest)
{
var metricModels = scenarioExecutionResult.PerformanceMonitorCounters
.Select(pmc => new MetricModel {
DisplayName = pmc.DisplayName,
Name = pmc.Name,
Unit = pmc.Unit,
});
// Get the list of processes of interest.
Console.WriteLine($"Parsing: {scenarioExecutionResult.EventLogFileName}");
var processes = new SimpleTraceEventParser().GetProfileData(scenarioExecutionResult);
// Extract the Pmc data for each one of the processes.
foreach (var process in processes)
{
if (!processesOfInterest.Any(p => p.Equals(process.Name, StringComparison.OrdinalIgnoreCase)))
{
continue;
}
var processTest = scenarioBenchmark.Tests
.SingleOrDefault(t => t.Name == process.Name && t.Namespace == "");
if (processTest == null)
{
processTest = new ScenarioTestModel(process.Name)
{
Namespace = "",
};
scenarioBenchmark.Tests.Add(processTest);
// Add metrics definitions.
processTest.Performance.Metrics.Add(ElapsedTimeMilliseconds);
processTest.Performance.Metrics.AddRange(metricModels);
}
var processIterationModel = new IterationModel {
Iteration = new Dictionary <string, double>()
};
processTest.Performance.IterationModels.Add(processIterationModel);
processIterationModel.Iteration.Add(
ElapsedTimeMilliseconds.Name, process.LifeSpan.Duration.TotalMilliseconds);
// Add process metrics values.
foreach (var pmcData in process.PerformanceMonitorCounterData)
{
processIterationModel.Iteration.Add(pmcData.Key.Name, pmcData.Value);
}
foreach (var module in process.Modules)
{
var moduleName = Path.GetFileName(module.FullName);
if (modulesOfInterest.Any(m => m.Equals(moduleName, StringComparison.OrdinalIgnoreCase)))
{
var moduleTestName = $"{moduleName}";
var moduleTest = scenarioBenchmark.Tests
.SingleOrDefault(t => t.Name == moduleTestName && t.Namespace == process.Name);
if (moduleTest == null)
{
moduleTest = new ScenarioTestModel(moduleTestName)
{
Namespace = process.Name,
Separator = "!",
};
scenarioBenchmark.Tests.Add(moduleTest);
// Add metrics definitions.
moduleTest.Performance.Metrics.AddRange(metricModels);
}
var moduleIterationModel = new IterationModel {
Iteration = new Dictionary <string, double>()
};
moduleTest.Performance.IterationModels.Add(moduleIterationModel);
// 5. Add module metrics values.
foreach (var pmcData in module.PerformanceMonitorCounterData)
{
moduleIterationModel.Iteration.Add(pmcData.Key.Name, pmcData.Value);
}
}
}
}
return(scenarioBenchmark);
}
private static void TestDir(XunitPerformanceHarness harness)
{
string commandName = RuntimeInformation.IsOSPlatform(OSPlatform.Windows) ? "dir" : "ls";
var testModel = new ScenarioTestModel(commandName);
testModel.Performance.Metrics.Add(new MetricModel
{
Name = "ExecutionTime",
DisplayName = "Execution Time",
Unit = "ms"
});
void PreIteration(ScenarioTest scenarioTest)
{
}
void PostIteration(ScenarioExecutionResult scenarioExecutionResult)
{
var elapsed = scenarioExecutionResult.ProcessExitInfo.ExitTime - scenarioExecutionResult.ProcessExitInfo.StartTime;
var iteration = new IterationModel
{
Iteration = new Dictionary <string, double>()
};
iteration.Iteration.Add(testModel.Performance.Metrics[0].Name, elapsed.TotalMilliseconds);
testModel.Performance.IterationModels.Add(iteration);
}
void PostRun(ScenarioBenchmark scenario)
{
}
ProcessStartInfo processToMeasure;
if (RuntimeInformation.IsOSPlatform(OSPlatform.Windows))
{
processToMeasure = new ProcessStartInfo("cmd.exe", $"/c {commandName}");
}
else
{
processToMeasure = new ProcessStartInfo(commandName);
}
processToMeasure.RedirectStandardError = true;
processToMeasure.RedirectStandardOutput = true;
var scenarioTestConfiguration = new ScenarioTestConfiguration(Timeout, processToMeasure)
{
Iterations = Iterations,
PreIterationDelegate = PreIteration,
PostIterationDelegate = PostIteration,
Scenario = new ScenarioBenchmark("ExecuteCommand")
};
scenarioTestConfiguration.Scenario.Tests.Add(testModel);
scenarioTestConfiguration.TestName = commandName;
harness.RunScenario(scenarioTestConfiguration, PostRun);
}
static void Main(string[] args)
{
// You can either add your training key here, pass it on the command line, or type it in when the program runs
string trainingKey = GetTrainingKey(trainingKeyString, args);
// Create the Api, passing in a credentials object that contains the training key
TrainingApiCredentials trainingCredentials = new TrainingApiCredentials(trainingKey);
TrainingApi trainingApi = new TrainingApi(trainingCredentials);
// Create a new project
Console.WriteLine("Creating new project:");
var project = trainingApi.CreateProject(projectName);
// Create some tags, you need at least two
var tag1 = trainingApi.CreateTag(project.Id, "tag1");
var tag2 = trainingApi.CreateTag(project.Id, "tag2");
// Add some images to the tags
Console.Write("\n\tProcessing images");
// Upload using the path to the images, a reference to the training API, a ference to your project and a tag
UploadImages(@"..\..\..\Images\1", trainingApi, project, new List <string>()
{
tag1.Id.ToString()
});
UploadImages(@"..\..\..\Images\1", trainingApi, project, new List <string>()
{
tag2.Id.ToString()
});
// Or uploaded in a single batch
//trainingApi.CreateImagesFromData(project.Id, japaneseCherryImages, new List<Guid>() { japaneseCherryTag.Id });
// Now there are images with tags start training the project
Console.WriteLine("\tStarting training");
IterationModel iteration = null;
try
{
iteration = trainingApi.TrainProject(project.Id);
}
catch (Exception e)
{
Console.WriteLine($"Trainig could not be completed. Error: {e.Message}");
}
if (iteration != null)
{
// The returned iteration will be in progress, and can be queried periodically to see when it has completed
while (iteration.Status == "Training")
{
Thread.Sleep(1000);
// Re-query the iteration to get it's updated status
iteration = trainingApi.GetIteration(project.Id, iteration.Id);
}
Console.WriteLine($"\tFinished training iteration {iteration.Id}");
// The iteration is now trained. Make it the default project endpoint
iteration.IsDefault = true;
trainingApi.UpdateIteration(project.Id, iteration.Id, iteration);
Console.WriteLine("Done!\n");
// Now there is a trained endpoint, it can be used to make a prediction
// Get the prediction key, which is used in place of the training key when making predictions
//var account = trainingApi.GetAccountInfo();
//var predictionKey = account.Keys.PredictionKeys.PrimaryKey;
//// Create a prediction endpoint, passing in a prediction credentials object that contains the obtained prediction key
//PredictionEndpointCredentials predictionEndpointCredentials = new PredictionEndpointCredentials(predictionKey);
//PredictionEndpoint endpoint = new PredictionEndpoint(predictionEndpointCredentials);
//// Make a prediction against the new project
//Console.WriteLine("Making a prediction:");
//var result = endpoint.PredictImage(project.Id, testImage);
//// Loop over each prediction and write out the results
//foreach (var c in result.Predictions)
//{
// Console.WriteLine($"\t{c.Tag}: {c.Probability:P1}");
//}
}
Console.ReadKey();
}
private async void TriggerActiveLearningButtonClicked(object sender, RoutedEventArgs e)
{
this.activeLearningFlyout.Hide();
var currentProject = ((ProjectViewModel)this.projectsComboBox.SelectedValue).Model;
try
{
var tags = this.PredictionDataForRetraining.Where(d => d.HasTag).Select(d => d.TagId).ToList();
if (tags.Any())
{
var test = await this.userProvidedTrainingApi.CreateImagesFromPredictionsAsync(currentProject.Id,
new ImageIdCreateBatch
{
TagIds = tags,
Ids = new List <Guid>(new Guid[] { this.PredictionDataForRetraining.First().PredictionResultId })
});
}
else
{
await new MessageDialog("You need to select at least one Tag in order to save and re-train.").ShowAsync();
return;
}
}
catch (Exception ex)
{
await Util.GenericApiCallExceptionHandler(ex, "Failure adding image to the training set");
return;
}
this.progressRing.IsActive = true;
bool trainingSucceeded = true;
try
{
IterationModel iterationModel = await userProvidedTrainingApi.TrainProjectAsync(currentProject.Id);
while (true)
{
iterationModel = await userProvidedTrainingApi.GetIterationAsync(currentProject.Id, iterationModel.Id);
if (iterationModel.Status != "Training")
{
if (iterationModel.Status == "Failed")
{
trainingSucceeded = false;
}
break;
}
await Task.Delay(500);
}
}
catch (Exception ex)
{
await Util.GenericApiCallExceptionHandler(ex, "The image was added to the training set, but re-training failed. You can try re-training later via the Custom Vision Setup page.");
}
if (!trainingSucceeded)
{
await new MessageDialog("The image was added to the training set, but re-training failed. You can try re-training later via the Custom Vision Setup page.").ShowAsync();
}
this.progressRing.IsActive = false;
}
public void Run([CallerMemberName] string callerName = null)
{
// Handle case where we're running inside VS (or via dotnet test), so the Main method hasn't run to initialize the perf harness
// In the future we may want to do this via an xUnit fixture, which would also let us call the dispose method to write the results
// afterwards
if (_performanceHarness == null)
{
Program.HandlePerfArgs(new List <string>()
{
"--iterations",
"1"
});
}
TestName = TestName ?? callerName;
int currentIteration = 0;
var durationTestModel = new ScenarioTestModel(TestName);
durationTestModel.Performance.Metrics.Add(new MetricModel
{
Name = "ExecutionTime",
DisplayName = "Execution Time",
Unit = "ms"
});
string testIdentifier = _performanceHarness.Configuration.RunId + "-" + ScenarioName + " - " + TestName;
string testResultsFolder = Path.Combine(_performanceHarness.OutputDirectory, testIdentifier + "-traces");
if (!Directory.Exists(testResultsFolder))
{
Directory.CreateDirectory(testResultsFolder);
}
using (FolderSnapshot snapshot = FolderSnapshot.Create(TestFolder))
{
void PreIteration(ScenarioTest scenarioTest)
{
if (currentIteration > 0)
{
snapshot.Restore();
}
// TODO: Optionally kill processes such as MSBuild.exe and VBCSCompiler.exe
// We should always do this before the first iteration, but it should be configurable whether we
// do it between iterations. This is because when testing "warm" / incremental builds, we would
// expect the persistent processes to already be running and have already built the project
}
void PostIteration(ScenarioExecutionResult scenarioExecutionResult)
{
var elapsed = scenarioExecutionResult.ProcessExitInfo.ExitTime - scenarioExecutionResult.ProcessExitInfo.StartTime;
var durationIteration = new IterationModel
{
Iteration = new Dictionary <string, double>()
};
durationIteration.Iteration.Add(durationTestModel.Performance.Metrics[0].Name, elapsed.TotalMilliseconds);
durationTestModel.Performance.IterationModels.Add(durationIteration);
if (GetPerformanceSummary)
{
string performanceSummaryFileDestination = Path.Combine(testResultsFolder, $"{testIdentifier}({currentIteration}).txt");
File.Move(Path.Combine(TestFolder, "PerformanceSummary.txt"), performanceSummaryFileDestination);
}
if (GetBinLog)
{
string binlogDestination = Path.Combine(testResultsFolder, $"{testIdentifier}({currentIteration}).binlog");
File.Move(Path.Combine(TestFolder, "msbuild.binlog"), binlogDestination);
}
currentIteration++;
}
void PostRun(ScenarioBenchmark scenario)
{
}
if (GetPerformanceSummary)
{
ProcessToMeasure.Arguments += " /flp9:PerformanceSummary;v=q;logfile=\"" + Path.Combine(TestFolder, "PerformanceSummary.txt") + "\"";
}
if (GetBinLog)
{
ProcessToMeasure.Arguments += " /bl:\"" + Path.Combine(TestFolder, "msbuild.binlog") + "\"";
}
var scenarioTestConfiguration = new ScenarioTestConfiguration(TimeSpan.FromMilliseconds(Timeout.TotalMilliseconds), ProcessToMeasure);
scenarioTestConfiguration.Iterations = NumberOfIterations;
scenarioTestConfiguration.PreIterationDelegate = PreIteration;
scenarioTestConfiguration.PostIterationDelegate = PostIteration;
scenarioTestConfiguration.SaveResults = false;
scenarioTestConfiguration.Scenario = GetScenarioBenchmark(ScenarioName ?? TestName);
scenarioTestConfiguration.Scenario.Tests.Add(durationTestModel);
scenarioTestConfiguration.TestName = TestName;
_performanceHarness.RunScenario(scenarioTestConfiguration, PostRun);
}
}
/// <summary>
/// 更新Iteration信息
/// </summary>
/// <param name="projectId"></param>
/// <param name="iterationId"></param>
/// <param name="iteration"></param>
public void UpdateIteration(Guid projectId, Guid iterationId, IterationModel iteration)
{
trainingApi.UpdateIteration(projectId, iterationId, iteration);
}
