protected virtual StreamPipeline ComposeOffPipeline(string id, DataExchange exchange)
{
var offlinePipeline = new StreamPipeline();
Dictionary<string, int> time = new Dictionary<string, int>();
var trainUntil = testStartDateProvider.GetTimestampOfTestStart(id);
offlinePipeline.Register(new offPredictionFittingFilter(parameters, trainUntil, time, exchange));
return offlinePipeline;
}
public void Start(string id, IMessageQueue queue)
{
var suffix = Guid.NewGuid().ToString();
var pipeline = new StreamPipeline();
pipeline.Register(new MeanPredictionFilter());
pipeline.Register(new ResultOutputFilter(repository) { MeasurementId = id, ForecastModelId = name });
var task1 = Task.Factory.StartNew(() => { RegisterStream(queue, pipeline, id + "-online-" + suffix, id); });
Task.WaitAll(task1);
}
protected virtual StreamPipeline ComposeOnPipeline(string id, DataExchange exchange, string name)
{
var onlinePipeline = new StreamPipeline();
parameters = new FilterParameters();
var trainUntil = testStartDateProvider.GetTimestampOfTestStart(id);
onlinePipeline.Register(new onNeuralPredictionFilter(parameters, trainUntil, exchange));
onlinePipeline.Register(new onErrorCalculationFilter(parameters));
onlinePipeline.Register(new ResultOutputFilter(repository) { MeasurementId = id, ForecastModelId = name});
return onlinePipeline;
}
private void RegisterStream(IMessageQueue messageQueue, StreamPipeline pipeline, string pipelineName, string id)
{
while (true)
{
try
{
var units = messageQueue.Dequeue(id, pipelineName);
pipeline.Execute(units);
}
catch (EndOfStreamException)
{
Console.WriteLine("End of stream");
break;
}
catch (Exception ex)
{
Logging.Debug(ex.ToString());
throw;
}
}
}
public StreamPipeline UpdatePipeline(StreamPipeline sourcePipeline, Command command)
{
return sourcePipeline;
}
