//estimation learning
private void Experiment3PushBsm()
{
if (finished == 0)
{
DeleteFiles();
}
var resourse = "b4.b4-131";
LogWrite("Pushing BSM to resourse " + resourse);
//workflows = 5;
steps = 1;
int[] sizes = { 1, 3, 4, 5, 6 };
var bsmDescriptionReader = new DescriptionReader("bsm.wf");
_api.UploadFiles(bsmDescriptionReader.InputFiles);
for (int i = 0; i < sizes.Length; i++)
{
StringBuilder sb = new StringBuilder();
//sb.Append(bsmDescriptionReader.Script);
int stepDiffer = 0;
for (int step = 1; step <= steps; step++)
//foreach(var size in sizes)
{
var size = sizes[0];
//if (stepDiffer >= sizes.Length) stepDiffer = 0;
sb.Append("[Resource = " + '"' + resourse + '"' + "]\n");
sb.Append("step MaskedFullBSM_" + stepDiffer + " runs bsm " + (stepDiffer > 0 ? " after MaskedFullBSM_" + (stepDiffer - 1) : "") + " \n (\n inMeasurement = measurementFile,\n inHirlam = hirlam" + size + ",\n swan = swanFile,\n inBSH = BSHFile,\n useAssimilation = true,\n useSWAN = true,\n useBSH = true,\n useOldProject = false,\n useMask = false,\n startCalcDate = \"09/01/2007 12:00:00\",\n inAssFields = assFields,\n inProject = projects,\n controlPoints = inControlPoints,\n deleteDirs = true,\n ForecastSize = " + size + " \n)\n");
stepDiffer++;
}
_api.Script = sb.ToString();
jobMonitor = _api.CreateMonitor();
jobMonitor.UpdatePeriod = 1000 * 5;
jobMonitor.Active += JobMonitorOnActive;
jobMonitor.Finished += (sender, jobDecriptionEventArgs) =>
{
JobMonitorStandardFinished(sender, jobDecriptionEventArgs);
CopyRows();
};
LogWrite(DateTime.Now.ToLongTimeString() + " " + steps + " bsm pushed: " + i + "/" + workflows + "; id:" + jobMonitor.JobId);
LogWrite(_api.Script.Substring(0, 70));
jobMonitor.Run();
Statuses.Add(jobMonitor.JobId.ToString(), "Pushed");
LogWrite(DateTime.Now.ToLongTimeString() + " " + jobMonitor.JobId + " pushed");
}
}
