/// <summary>
/// Runs a single iteration of the message queue runner.
/// This waits until it receives a new message (containing a new parameter set to run),
/// deserializes this message, re-parameterises the model definition and runs a single
/// model run. The process completes by saving the result before sending a complete message
/// back on the queue.
/// </summary>
/// <returns>
/// Returns whether an iteration was successful
/// </returns>
public bool RunIteration(out ParameterSet resultParameters)
{
resultParameters = null;
//#if DEBUG
// Debugger.Launch();
//#endif
try
{
Message receivedMessage = queues.PestToTridentQueue.Receive(new TimeSpan(0, 0, TIMEOUT));
ParameterSet pSet = this.processMessage(receivedMessage);
pSet.applyParametersTo(modelRunner.Model);
TimeSeries output = new TimeSeries();
modelRunner.record(this.outputTimeSeriesName, output);
modelRunner.execute();
NonInteractiveIO.Save(this.outputTimeSeriesFile, output);
// save output time series to specified location
// send resulting set so we can calculate score on parameters
resultParameters = pSet;
this.result = pSet;
//this.queue.Send("Iteration Complete");
this.queues.TridentToPestQueue.Send(null);
}
catch (MessageQueueException e)
{
if (e.MessageQueueErrorCode == MessageQueueErrorCode.IOTimeout)
{
queues.Close();
// return the last given result
resultParameters = this.result;
return(false);
}
else
{
throw e;
}
}
// iteration ran successfully
return(true);
}
