/// <summary>
/// Calculate dignostics. this works differently than other ones such as todo comments or designer attribute scanner
/// since in proc and out of proc runs quite differently due to concurrency and due to possible amount of data
/// that needs to pass through between processes
/// </summary>
public Task CalculateDiagnosticsAsync(DiagnosticArguments arguments, string pipeName, CancellationToken cancellationToken)
{
return(RunServiceAsync(async() =>
{
// if this analysis is explicitly asked by user, boost priority of this request
using (RoslynLogger.LogBlock(FunctionId.CodeAnalysisService_CalculateDiagnosticsAsync, arguments.ProjectId.DebugName, cancellationToken))
using (arguments.ForcedAnalysis ? UserOperationBooster.Boost() : default)
{
// entry point for diagnostic service
var solution = await GetSolutionAsync(cancellationToken).ConfigureAwait(false);
var projectId = arguments.ProjectId;
var analyzers = RoslynServices.AssetService.GetGlobalAssetsOfType <AnalyzerReference>(cancellationToken);
var result = await new DiagnosticComputer(solution.GetProject(projectId)).GetDiagnosticsAsync(
analyzers, arguments.AnalyzerIds, arguments.ReportSuppressedDiagnostics, arguments.LogAnalyzerExecutionTime, cancellationToken).ConfigureAwait(false);
await RemoteEndPoint.WriteDataToNamedPipeAsync(pipeName, result, (writer, data, cancellationToken) =>
{
var(diagnostics, telemetry, exceptions) = DiagnosticResultSerializer.WriteDiagnosticAnalysisResults(writer, data, cancellationToken);
// save log for debugging
Log(TraceEventType.Information, $"diagnostics: {diagnostics}, telemetry: {telemetry}, exceptions: {exceptions}");
return Task.CompletedTask;
}, cancellationToken).ConfigureAwait(false);
}
}, cancellationToken));
}
/// <summary>
/// Calculate dignostics. this works differently than other ones such as todo comments or designer attribute scanner
/// since in proc and out of proc runs quite differently due to concurrency and due to possible amount of data
/// that needs to pass through between processes
/// </summary>
public Task CalculateDiagnosticsAsync(PinnedSolutionInfo solutionInfo, DiagnosticArguments arguments, string pipeName, CancellationToken cancellationToken)
{
return(RunServiceAsync(async() =>
{
using (RoslynLogger.LogBlock(FunctionId.CodeAnalysisService_CalculateDiagnosticsAsync, arguments.ProjectId.DebugName, cancellationToken))
using (arguments.IsHighPriority ? UserOperationBooster.Boost() : default)
{
var solution = await GetSolutionAsync(solutionInfo, cancellationToken).ConfigureAwait(false);
var documentId = arguments.DocumentId;
var projectId = arguments.ProjectId;
var project = solution.GetProject(projectId);
var documentSpan = arguments.DocumentSpan;
var documentAnalysisKind = arguments.DocumentAnalysisKind;
var diagnosticComputer = new DiagnosticComputer(documentId, project, documentSpan, documentAnalysisKind, _analyzerInfoCache);
var result = await diagnosticComputer.GetDiagnosticsAsync(
arguments.AnalyzerIds,
reportSuppressedDiagnostics: arguments.ReportSuppressedDiagnostics,
logPerformanceInfo: arguments.LogPerformanceInfo,
getTelemetryInfo: arguments.GetTelemetryInfo,
cancellationToken).ConfigureAwait(false);
await RemoteEndPoint.WriteDataToNamedPipeAsync(pipeName, (result, documentAnalysisKind), (writer, data, cancellationToken) =>
{
var(diagnostics, telemetry) = DiagnosticResultSerializer.WriteDiagnosticAnalysisResults(writer, data.documentAnalysisKind, data.result, cancellationToken);
// save log for debugging
Log(TraceEventType.Information, $"diagnostics: {diagnostics}, telemetry: {telemetry}");
return Task.CompletedTask;
}, cancellationToken).ConfigureAwait(false);
}
}, cancellationToken));
}