public ExceptionDecoratorTransformationBatched(ITransformationBatched <TIn, TOut> decoratedTransformation, ILogAgent logAgent, ICancelNetwork cancel)
{
m_DecoratedTransformation = decoratedTransformation;
m_LogAgent = logAgent;
m_Cancel = cancel;
}
/// <summary>
/// Creates a transformation that takes one batched input and produces one output for.
/// </summary>
/// <typeparam name="TIn"></typeparam>
/// <typeparam name="TOut"></typeparam>
/// <param name="transformation"></param>
/// <param name="boundedCapacity"></param>
/// <returns></returns>
public TransformBlock <IDataflowMessage <TIn>[], IDataflowMessage <TOut> > CreateTransformBatched <TIn, TOut>(ITransformationBatched <TIn, TOut> transformation, int boundedCapacity = -1)
{
TransformBlock <IDataflowMessage <TIn>[], IDataflowMessage <TOut> > block = null;
var transFunc = transformation
.WithExceptionHandler(m_LogAgent, this)
.WithLogging(m_LogAgent)
.WithWorkloadStatistics(boundedCapacity, () => block.InputCount, () => block.OutputCount, m_ctx, this.m_DfnGuid, m_Cts.Token);
if (m_LogStatistics)
{
transFunc = transFunc.WithStatistics(m_LogAgent);
m_StatisticsLoggers.Add((IStatisticsLogger)transFunc);
}
block = new TransformBlock <IDataflowMessage <TIn>[], IDataflowMessage <TOut> >(
transFunc
.AsFunction(), CreateDefaultExecutionOptions(boundedCapacity));
return(block);
}
public static ITransformationBatchedFunctor <TIn, TOut> WithExceptionHandler <TIn, TOut>(this ITransformationBatched <TIn, TOut> decoratedTransformation, ILogAgent log, ICancelNetwork cancel)
{
return(new ExceptionDecoratorTransformationBatched <TIn, TOut>(decoratedTransformation, log, cancel));
}