public progressWindow(ESAPIworker e, optimizationLoop o)
{
InitializeComponent();
//flags to let the code know if the user wants to stop the optimization loop, is the optimization loop finished, and can the progress window close
abortOpt = false;
isFinished = false;
canClose = false;
//copy the thread instance and optimizationLoop class instance
slave = e;
op = o;
//copy the patient MRN so the script will always write the output to my folder (so I don't have to worry about users forgetting to save the output)
id = slave.data.id;
//MLC model
MLCmodel = slave.data.MLCmodel;
//setup formating for progress window output text
optObjHeader = " Updated optimization constraints:" + System.Environment.NewLine;
optObjHeader += " -------------------------------------------------------------------------" + System.Environment.NewLine;
optObjHeader += String.Format(" {0, -15} | {1, -16} | {2, -10} | {3, -10} | {4, -8} |" + System.Environment.NewLine, "structure Id", "constraint type", "dose (cGy)", "volume (%)", "priority");
optObjHeader += " -------------------------------------------------------------------------" + System.Environment.NewLine;
optResHeader = " Results of optimization:" + System.Environment.NewLine;
optResHeader += " ---------------------------------------------------------------------------------------------------------" + System.Environment.NewLine;
optResHeader += String.Format(" {0, -15} | {1, -16} | {2, -20} | {3, -16} | {4, -12} | {5, -9} |" + System.Environment.NewLine, "structure Id", "constraint type", "dose diff^2 (cGy^2)", "current priority", "cost", "cost (%)");
optResHeader += " ---------------------------------------------------------------------------------------------------------" + System.Environment.NewLine;
//set total number of milestones (used for calculation of percent progress completed)
//7 milestones always have to be completed if coverage check is selected
if (slave.data.oneMoreOpt)
{
calcItems = (10 + 7 * slave.data.numOptimizations);
}
else
{
calcItems = (7 + 7 * slave.data.numOptimizations);
}
//if coverage check is NOT selected, remove 4 of these milestones
if (demo || !slave.data.runCoverageCheck)
{
calcItems -= 5;
}
if (slave.data.useFlash)
{
calcItems += 2;
}
//initialize and start the stopwatch
runTime.Text = "00:00:00";
dt.Tick += new EventHandler(dt_tick);
dt.Interval = new TimeSpan(0, 0, 1);
sw.Start();
dt.Start();
//start the optimization loop
doStuff();
}
private void startOpt_Click(object sender, RoutedEventArgs e)
{
//start the optimization loop
//checks
if (opt_parameters.Children.Count == 0)
{
MessageBox.Show("No optimization parameters present to assign to the VMAT plan!");
return;
}
if (!int.TryParse(numOptLoops.Text, out int numOptimizations))
{
MessageBox.Show("Error! Invalid input for number of optimization loops! \nFix and try again.");
return;
}
//get an instnace of the VMAT TBI plan
ExternalPlanSetup plan = getPlan();
if (plan == null)
{
return;
}
if (!double.TryParse(targetNormTB.Text, out double planNorm))
{
MessageBox.Show("Error! Target normalization is NaN \nFix and try again.");
return;
}
if (planNorm < 0.0 || planNorm > 100.0)
{
MessageBox.Show("Error! Target normalization is is either < 0% or > 100% \nExiting!");
return;
}
//get constraints
//same code as from the binary plug in
List <Tuple <string, string, double, double, int> > optParametersList = new List <Tuple <string, string, double, double, int> > {
};
string structure = "";
string constraintType = "";
double dose = -1.0;
double vol = -1.0;
int priority = -1;
int txtbxNum = 1;
bool firstCombo = true;
bool headerObj = true;
foreach (object obj in opt_parameters.Children)
{
if (!headerObj)
{
foreach (object obj1 in ((StackPanel)obj).Children)
{
if (obj1.GetType() == typeof(ComboBox))
{
if (firstCombo)
{
structure = (obj1 as ComboBox).SelectedItem.ToString();
firstCombo = false;
}
else
{
constraintType = (obj1 as ComboBox).SelectedItem.ToString();
}
}
else if (obj1.GetType() == typeof(TextBox))
{
if (!string.IsNullOrWhiteSpace((obj1 as TextBox).Text))
{
if (txtbxNum == 1)
{
double.TryParse((obj1 as TextBox).Text, out vol);
}
else if (txtbxNum == 2)
{
double.TryParse((obj1 as TextBox).Text, out dose);
}
else
{
int.TryParse((obj1 as TextBox).Text, out priority);
}
}
txtbxNum++;
}
}
if (structure == "--select--" || constraintType == "--select--")
{
MessageBox.Show("Error! \nStructure or Sparing Type not selected! \nSelect an option and try again");
return;
}
else if (dose == -1.0 || vol == -1.0 || priority == -1.0)
{
MessageBox.Show("Error! \nDose, volume, or priority values are invalid! \nEnter new values and try again");
return;
}
else
{
optParametersList.Add(Tuple.Create(structure, constraintType, dose, vol, priority));
}
firstCombo = true;
txtbxNum = 1;
dose = -1.0;
vol = -1.0;
priority = -1;
}
else
{
headerObj = false;
}
}
if (optParametersList.Where(x => x.Item1.ToLower().Contains("flash")).Any())
{
useFlash = true;
}
//does the user want to run the initial dose coverage check?
runCoverageCheck = runCoverageCk.IsChecked.Value;
//does the user want to run one additional optimization to reduce hotspots?
runOneMoreOpt = runAdditionalOpt.IsChecked.Value;
//does the user want to copy and save each plan after it's optimized (so the user can choose between the various plans)?
copyAndSavePlanItr = copyAndSave.IsChecked.Value;
//start the optimization loop (all saving to the database is performed in the progressWindow class)
pi.BeginModifications();
optimizationLoop optLoop = new optimizationLoop(plan, optParametersList, planNorm, numOptimizations, scleroTrial, runCoverageCheck, runOneMoreOpt, copyAndSavePlanItr, useFlash, MLCmodel, app);
}
