use of cbit.vcell.mapping.SimulationContext.MathMappingCallback in project vcell by virtualcell.
the class NetworkConstraintsPanel method runBioNetGen.
private void runBioNetGen() {
EditConstraintsPanel panel = new EditConstraintsPanel(this);
ChildWindowManager childWindowManager = ChildWindowManager.findChildWindowManager(this);
ChildWindow childWindow = childWindowManager.addChildWindow(panel, panel, "Edit / Test Constraints");
Dimension dim = new Dimension(320, 330);
childWindow.pack();
panel.setChildWindow(childWindow);
childWindow.setPreferredSize(dim);
childWindow.showModal();
int maxIterations;
int maxMolecules;
int speciesLimit;
int reactionsLimit;
Map<MolecularType, Integer> testMaxStoichiometryMap = new LinkedHashMap<>();
StoichiometryTableModel stoichiometryTableModel = panel.getStoichiometryTableModel();
for (int row = 0; row < stoichiometryTableModel.getRowCount(); row++) {
MaxStoichiometryEntity nce = stoichiometryTableModel.getValueAt(row);
MolecularType key = nce.getMolecularType();
Integer value = nce.getValue();
testMaxStoichiometryMap.put(key, value);
}
if (panel.getButtonPushed() == ActionButtons.Run) {
maxIterations = new Integer(panel.maxIterationTextField.getText());
maxMolecules = new Integer(panel.maxMolTextField.getText());
speciesLimit = new Integer(panel.speciesLimitTextField.getText());
reactionsLimit = new Integer(panel.reactionsLimitTextField.getText());
fieldSimulationContext.getNetworkConstraints().setTestConstraints(maxIterations, maxMolecules, speciesLimit, reactionsLimit, testMaxStoichiometryMap);
} else if (panel.getButtonPushed() == ActionButtons.Apply) {
activateConsole();
maxIterations = new Integer(panel.maxIterationTextField.getText());
maxMolecules = new Integer(panel.maxMolTextField.getText());
speciesLimit = new Integer(panel.speciesLimitTextField.getText());
reactionsLimit = new Integer(panel.reactionsLimitTextField.getText());
fieldSimulationContext.getNetworkConstraints().setTestConstraints(maxIterations, maxMolecules, speciesLimit, reactionsLimit, testMaxStoichiometryMap);
fieldSimulationContext.getNetworkConstraints().updateConstraintsFromTest();
// apply will invalidate everything: generated species, reactions, console, cache, etc
updateBioNetGenOutput(null);
refreshInterface();
TaskCallbackMessage tcm = new TaskCallbackMessage(TaskCallbackStatus.Clean, "");
fieldSimulationContext.appendToConsole(tcm);
String message = "Warning: The current Constraints are not tested / validated.";
tcm = new TaskCallbackMessage(TaskCallbackStatus.Warning, message);
fieldSimulationContext.appendToConsole(tcm);
message = "The Network generation may take a very long time or the generated network may be incomplete. " + "We recommend testing this set of constraints.";
tcm = new TaskCallbackMessage(TaskCallbackStatus.Notification, message);
fieldSimulationContext.appendToConsole(tcm);
return;
} else {
// when cancel we put back in sync the test values
maxIterations = fieldSimulationContext.getNetworkConstraints().getMaxIteration();
maxMolecules = fieldSimulationContext.getNetworkConstraints().getMaxMoleculesPerSpecies();
speciesLimit = fieldSimulationContext.getNetworkConstraints().getSpeciesLimit();
reactionsLimit = fieldSimulationContext.getNetworkConstraints().getReactionsLimit();
fieldSimulationContext.getNetworkConstraints().setTestConstraints(maxIterations, maxMolecules, speciesLimit, reactionsLimit, testMaxStoichiometryMap);
return;
}
// TODO: do not delete the commented code below
// uncomment the next 6 lines to keep the data in the dialogs synchronized with the most recent reaction network
// if(viewSpeciesDialog != null) {
// viewSpeciesDialog.dispose();
// }
// if(viewReactionsDialog != null) {
// viewReactionsDialog.dispose();
// }
activateConsole();
// previousIterationSpecies = 0;
synchronized (this) {
fieldSimulationContext.setMd5hash(null);
fieldSimulationContext.setMostRecentlyCreatedOutputSpec(null);
}
refreshInterface();
if (!checkBnglRequirements()) {
return;
}
NetworkTransformer transformer = new NetworkTransformer();
MathMappingCallback dummyCallback = new MathMappingCallback() {
public void setProgressFraction(float percentDone) {
}
public void setMessage(String message) {
}
public boolean isInterrupted() {
return false;
}
};
String input = transformer.convertToBngl(fieldSimulationContext, true, dummyCallback, NetworkGenerationRequirements.ComputeFullNoTimeout);
// we alter the input string to use the test values for speciesLimit and reactionsLimit
BufferedReader br = new BufferedReader(new StringReader(input));
StringBuilder sb = new StringBuilder();
int lineNumber = 0;
while (true) {
String line = null;
try {
line = br.readLine();
} catch (IOException e) {
e.printStackTrace();
}
if (line == null) {
// end of document
break;
}
if (line.isEmpty()) {
sb.append("\n");
lineNumber++;
continue;
}
if (line.contains(NetworkConstraints.SPECIES_LIMIT_PARAMETER)) {
sb.append(NetworkConstraints.SPECIES_LIMIT_PARAMETER + "\t\t" + speciesLimit + "\n");
} else if (line.contains(NetworkConstraints.REACTIONS_LIMIT_PARAMETER)) {
sb.append(NetworkConstraints.REACTIONS_LIMIT_PARAMETER + "\t\t" + reactionsLimit + "\n");
} else {
sb.append(line + "\n");
}
}
input = sb.toString();
// we alter the input string to use the test values for max iterations and max molecules per species
// get rid of the default generate network command...
input = input.substring(0, input.indexOf("generate_network({"));
// ... and replace it with the "fake" one
StringWriter bnglStringWriter = new StringWriter();
PrintWriter pw = new PrintWriter(bnglStringWriter);
// testMaxStoichiometryMap
RbmNetworkGenerator.generateNetworkEx(maxIterations, maxMolecules, true, pw, fieldSimulationContext.getModel().getRbmModelContainer(), fieldSimulationContext, NetworkGenerationRequirements.ComputeFullNoTimeout);
String genNetStr = bnglStringWriter.toString();
pw.close();
input += genNetStr;
BNGInput bngInput = new BNGInput(input);
final BNGExecutorService bngService = BNGExecutorService.getInstance(bngInput, NetworkGenerationRequirements.NoTimeoutMS);
bngService.registerBngUpdaterCallback(this);
Hashtable<String, Object> hash = new Hashtable<String, Object>();
AsynchClientTask[] tasksArray = new AsynchClientTask[3];
TaskCallbackMessage message = new TaskCallbackMessage(TaskCallbackStatus.Clean, "");
fieldSimulationContext.appendToConsole(message);
tasksArray[0] = new RunBioNetGen(bngService);
tasksArray[1] = new CreateBNGOutputSpec(bngService);
tasksArray[2] = new ReturnBNGOutput(bngService, fieldSimulationContext, this);
ClientTaskDispatcher.dispatch(this, hash, tasksArray, false, true, new ProgressDialogListener() {
@Override
public void cancelButton_actionPerformed(EventObject newEvent) {
try {
bngService.stopBNG();
String s = "...user cancelled.";
TaskCallbackMessage tcm = new TaskCallbackMessage(TaskCallbackStatus.TaskStopped, s);
// message will be processed in TaskCallbackProcessor::case TaskStopped
setNewCallbackMessage(tcm);
} catch (Exception e) {
e.printStackTrace();
}
}
});
}
use of cbit.vcell.mapping.SimulationContext.MathMappingCallback in project vcell by virtualcell.
the class XmlHelper method sedmlToBioModel.
public static List<VCDocument> sedmlToBioModel(VCLogger transLogger, ExternalDocInfo externalDocInfo, SedML sedml, List<AbstractTask> tasks, String sedmlFileLocation, boolean exactMatchOnly) throws Exception {
if (sedml.getModels().isEmpty()) {
throw new Exception("No models found in SED-ML document");
}
try {
// iterate through all the elements and show them at the console
List<org.jlibsedml.Model> mmm = sedml.getModels();
for (Model mm : mmm) {
System.out.println(mm.toString());
}
List<org.jlibsedml.Simulation> sss = sedml.getSimulations();
for (org.jlibsedml.Simulation ss : sss) {
System.out.println(ss.toString());
}
List<AbstractTask> ttt = sedml.getTasks();
if (ttt.isEmpty()) {
throw new Exception("No tasks found in SED-ML document");
}
for (AbstractTask tt : ttt) {
System.out.println(tt.toString());
}
List<DataGenerator> ddd = sedml.getDataGenerators();
for (DataGenerator dd : ddd) {
System.out.println(dd.toString());
}
List<Output> ooo = sedml.getOutputs();
for (Output oo : ooo) {
System.out.println(oo.toString());
}
if (ooo.isEmpty()) {
System.err.println("List of outputs cannot be empty!");
}
if (tasks == null || tasks.isEmpty()) {
// no task selection, we'll import all that we find in the SED-ML
tasks = sedml.getTasks();
}
// We need to make a separate BioModel for each SED-ML model
// We will parse all tasks and create Simulations for each in the BioModel(s) corresponding to the model referenced by the tasks
List<VCDocument> docs = new ArrayList<VCDocument>();
// extract bioModel name from sedx (or sedml) file
String bioModelBaseName = FileUtils.getBaseName(externalDocInfo.getFile().getAbsolutePath());
String kisaoID = null;
// this will become the vCell simulation
org.jlibsedml.Simulation sedmlSimulation = null;
// the "original" model referred to by the task
org.jlibsedml.Model sedmlOriginalModel = null;
// this will be used in the BioModel name
String sedmlOriginalModelName = null;
// can be sbml or vcml
String sedmlOriginalModelLanguage = null;
ArchiveComponents ac = null;
if (externalDocInfo.getFile().getPath().toLowerCase().endsWith("sedx") || externalDocInfo.getFile().getPath().toLowerCase().endsWith("omex")) {
ac = Libsedml.readSEDMLArchive(new FileInputStream(externalDocInfo.getFile().getPath()));
}
ModelResolver resolver = new ModelResolver(sedml);
if (ac != null) {
resolver.add(new ArchiveModelResolver(ac));
}
resolver.add(new FileModelResolver());
if (sedmlFileLocation != null) {
File sedmlFile = new File(sedmlFileLocation);
String sedmlRelativePrefix = sedmlFile.getParent() + File.separator;
if (sedmlRelativePrefix != null) {
resolver.add(new RelativeFileModelResolver(sedmlRelativePrefix));
}
}
for (AbstractTask selectedTask : tasks) {
if (selectedTask instanceof Task) {
sedmlOriginalModel = sedml.getModelWithId(selectedTask.getModelReference());
sedmlSimulation = sedml.getSimulation(selectedTask.getSimulationReference());
} else if (selectedTask instanceof RepeatedTask) {
System.err.println("RepeatedTask not supported yet, task " + SEDMLUtil.getName(selectedTask) + " is being skipped");
continue;
// TODO the below is unfinished code
// RepeatedTask rt = (RepeatedTask)selectedTask;
// assert(rt.getSubTasks().size() == 1);
// SubTask st = rt.getSubTasks().entrySet().iterator().next().getValue(); // first (and only) subtask
// String taskId = st.getTaskId();
// AbstractTask t = sedml.getTaskWithId(taskId);
// sedmlOriginalModel = sedml.getModelWithId(t.getModelReference()); // get model and simulation from subtask
// sedmlSimulation = sedml.getSimulation(t.getSimulationReference());
} else {
throw new RuntimeException("Unexpected task " + selectedTask);
}
sedmlOriginalModelName = sedmlOriginalModel.getId();
sedmlOriginalModelLanguage = sedmlOriginalModel.getLanguage();
// at this point we assume that the sedml simulation, algorithm and kisaoID are all valid
Algorithm algorithm = sedmlSimulation.getAlgorithm();
kisaoID = algorithm.getKisaoID();
// identify the vCell solvers that would match best the sedml solver kisao id
// try to find a match in the ontology tree
SolverDescription solverDescription = SolverUtilities.matchSolverWithKisaoId(kisaoID, exactMatchOnly);
if (solverDescription != null) {
System.out.println("Task (id='" + selectedTask.getId() + "') is compatible, solver match found in ontology: '" + kisaoID + "' matched to " + solverDescription);
} else {
// give it a try anyway with our deterministic default solver
solverDescription = SolverDescription.CombinedSundials;
System.err.println("Task (id='" + selectedTask.getId() + ")' is not compatible, no equivalent solver found in ontology for requested algorithm '" + kisaoID + "'; trying with deterministic default solver " + solverDescription);
}
// find out everything else we need about the application we're going to use,
// some of the info will be needed when we parse the sbml file
boolean bSpatial = false;
Application appType = Application.NETWORK_DETERMINISTIC;
Set<SolverDescription.SolverFeature> sfList = solverDescription.getSupportedFeatures();
for (SolverDescription.SolverFeature sf : sfList) {
switch(sf) {
case Feature_Rulebased:
appType = Application.RULE_BASED_STOCHASTIC;
break;
case Feature_Stochastic:
appType = Application.NETWORK_STOCHASTIC;
break;
case Feature_Deterministic:
appType = Application.NETWORK_DETERMINISTIC;
break;
case Feature_Spatial:
bSpatial = true;
break;
default:
break;
}
}
// we make a biomodel for each task; if there are many simulations, probably
// only one will match the selected task id, the others are parasites and must not be run
BioModel bioModel = null;
boolean justMade = false;
String newMdl = resolver.getModelString(sedmlOriginalModel);
String bioModelName = bioModelBaseName + "_" + sedml.getFileName() + "_" + sedmlOriginalModelName;
// get it if we made it already
for (VCDocument existingDoc : docs) {
if (!docs.isEmpty()) {
if (existingDoc.getName().equals(bioModelName)) {
bioModel = (BioModel) existingDoc;
break;
}
}
}
// make it if we didn't and mark it as fresh
if (bioModel == null) {
if (sedmlOriginalModelLanguage.contentEquals(SUPPORTED_LANGUAGE.VCELL_GENERIC.getURN())) {
// vcml
XMLSource vcmlSource = new XMLSource(newMdl);
bioModel = (BioModel) XmlHelper.XMLToBioModel(vcmlSource);
bioModel.setName(bioModelName);
docs.add(bioModel);
justMade = true;
try {
bioModel.getVCMetaData().createBioPaxObjects(bioModel);
} catch (Exception e) {
e.printStackTrace();
}
} else {
// we assume it's sbml, if it's neither import will fail
// sbmlSource with all the changes applied
XMLSource sbmlSource = new XMLSource(newMdl);
bioModel = (BioModel) XmlHelper.importSBML(transLogger, sbmlSource, bSpatial);
bioModel.setName(bioModelName);
docs.add(bioModel);
justMade = true;
}
}
if (sedmlOriginalModelLanguage.contentEquals(SUPPORTED_LANGUAGE.VCELL_GENERIC.getURN())) {
// we basically ignore the sedml simulation altogether
for (Simulation sim : bioModel.getSimulations()) {
if (sim.getName().equals(selectedTask.getName())) {
System.out.println(" --- selected task - name: " + selectedTask.getName() + ", id: " + selectedTask.getId());
sim.setImportedTaskID(selectedTask.getId());
}
}
continue;
}
// even if we just created the biomodel from the sbml file we have at least one application with initial conditions and stuff
// see if there is a suitable application type for the sedml kisao
// if not, we add one by doing a "copy as" to the right type
SimulationContext[] existingSimulationContexts = bioModel.getSimulationContexts();
SimulationContext matchingSimulationContext = null;
for (SimulationContext simContext : existingSimulationContexts) {
if (simContext.getApplicationType().equals(appType) && ((simContext.getGeometry().getDimension() > 0) == bSpatial)) {
matchingSimulationContext = simContext;
break;
}
}
if (matchingSimulationContext == null) {
if (justMade) {
matchingSimulationContext = SimulationContext.copySimulationContext(existingSimulationContexts[0], sedmlOriginalModelName, bSpatial, appType);
bioModel.removeSimulationContext(existingSimulationContexts[0]);
} else {
matchingSimulationContext = SimulationContext.copySimulationContext(existingSimulationContexts[0], sedmlOriginalModelName + "_" + existingSimulationContexts.length, bSpatial, appType);
}
bioModel.addSimulationContext(matchingSimulationContext);
}
// making the new vCell simulation based on the sedml simulation
matchingSimulationContext.refreshDependencies();
MathMappingCallback callback = new MathMappingCallbackTaskAdapter(null);
matchingSimulationContext.refreshMathDescription(callback, NetworkGenerationRequirements.ComputeFullStandardTimeout);
Simulation newSimulation = new Simulation(matchingSimulationContext.getMathDescription());
newSimulation.setSimulationOwner(matchingSimulationContext);
if (selectedTask instanceof Task) {
String newSimName = selectedTask.getId();
if (SEDMLUtil.getName(selectedTask) != null) {
newSimName += "_" + SEDMLUtil.getName(selectedTask);
}
newSimulation.setName(newSimName);
newSimulation.setImportedTaskID(selectedTask.getId());
} else {
newSimulation.setName(SEDMLUtil.getName(sedmlSimulation) + "_" + SEDMLUtil.getName(selectedTask));
}
// we identify the type of sedml simulation (uniform time course, etc)
// and set the vCell simulation parameters accordingly
SolverTaskDescription simTaskDesc = newSimulation.getSolverTaskDescription();
if (solverDescription != null) {
simTaskDesc.setSolverDescription(solverDescription);
}
TimeBounds timeBounds = new TimeBounds();
TimeStep timeStep = new TimeStep();
double outputTimeStep = 0.1;
int outputNumberOfPoints = 1;
if (sedmlSimulation instanceof UniformTimeCourse) {
// we translate initial time to zero, we provide output for the duration of the simulation
// because we can't select just an interval the way the SEDML simulation can
double initialTime = ((UniformTimeCourse) sedmlSimulation).getInitialTime();
double outputStartTime = ((UniformTimeCourse) sedmlSimulation).getOutputStartTime();
double outputEndTime = ((UniformTimeCourse) sedmlSimulation).getOutputEndTime();
outputNumberOfPoints = ((UniformTimeCourse) sedmlSimulation).getNumberOfPoints();
outputTimeStep = (outputEndTime - outputStartTime) / outputNumberOfPoints;
timeBounds = new TimeBounds(0, outputEndTime - initialTime);
ErrorTolerance errorTolerance = new ErrorTolerance();
// we look for explicit algorithm parameters
List<AlgorithmParameter> sedmlAlgorithmParameters = algorithm.getListOfAlgorithmParameters();
for (AlgorithmParameter sedmlAlgorithmParameter : sedmlAlgorithmParameters) {
String apKisaoID = sedmlAlgorithmParameter.getKisaoID();
String apValue = sedmlAlgorithmParameter.getValue();
if (apKisaoID == null || apKisaoID.isEmpty()) {
System.err.println("Undefined KisaoID algorithm parameter for algorithm '" + kisaoID + "'");
}
// TODO: use the proper ontology for the algorithm parameters kisao id
if (apKisaoID.contentEquals(ErrorTolerance.ErrorToleranceDescription.Absolute.getKisao())) {
double value = Double.parseDouble(apValue);
errorTolerance.setAbsoluteErrorTolerance(value);
} else if (apKisaoID.contentEquals(ErrorTolerance.ErrorToleranceDescription.Relative.getKisao())) {
double value = Double.parseDouble(apValue);
errorTolerance.setRelativeErrorTolerance(value);
} else if (apKisaoID.contentEquals(TimeStep.TimeStepDescription.Default.getKisao())) {
double value = Double.parseDouble(apValue);
timeStep.setDefaultTimeStep(value);
} else if (apKisaoID.contentEquals(TimeStep.TimeStepDescription.Maximum.getKisao())) {
double value = Double.parseDouble(apValue);
timeStep.setMaximumTimeStep(value);
} else if (apKisaoID.contentEquals(TimeStep.TimeStepDescription.Minimum.getKisao())) {
double value = Double.parseDouble(apValue);
timeStep.setMinimumTimeStep(value);
} else if (apKisaoID.contentEquals(AlgorithmParameterDescription.Seed.getKisao())) {
// custom seed
if (simTaskDesc.getSimulation().getMathDescription().isNonSpatialStoch()) {
NonspatialStochSimOptions nssso = simTaskDesc.getStochOpt();
int value = Integer.parseInt(apValue);
nssso.setCustomSeed(value);
} else {
System.err.println("Algorithm parameter '" + AlgorithmParameterDescription.Seed.getDescription() + "' is only supported for nonspatial stochastic simulations");
}
// some arguments used only for non-spatial hybrid solvers
} else if (apKisaoID.contentEquals(AlgorithmParameterDescription.Epsilon.getKisao())) {
NonspatialStochHybridOptions nssho = simTaskDesc.getStochHybridOpt();
nssho.setEpsilon(Double.parseDouble(apValue));
} else if (apKisaoID.contentEquals(AlgorithmParameterDescription.Lambda.getKisao())) {
NonspatialStochHybridOptions nssho = simTaskDesc.getStochHybridOpt();
nssho.setLambda(Double.parseDouble(apValue));
} else if (apKisaoID.contentEquals(AlgorithmParameterDescription.MSRTolerance.getKisao())) {
NonspatialStochHybridOptions nssho = simTaskDesc.getStochHybridOpt();
nssho.setMSRTolerance(Double.parseDouble(apValue));
} else if (apKisaoID.contentEquals(AlgorithmParameterDescription.SDETolerance.getKisao())) {
NonspatialStochHybridOptions nssho = simTaskDesc.getStochHybridOpt();
nssho.setSDETolerance(Double.parseDouble(apValue));
} else {
System.err.println("Algorithm parameter with kisao id '" + apKisaoID + "' not supported at this time, skipping.");
}
}
simTaskDesc.setErrorTolerance(errorTolerance);
} else if (sedmlSimulation instanceof OneStep) {
// for anything other than UniformTimeCourse we just ignore
System.err.println("OneStep Simulation not supported");
continue;
} else if (sedmlSimulation instanceof SteadyState) {
System.err.println("SteadyState Simulation not supported");
continue;
}
OutputTimeSpec outputTimeSpec = new UniformOutputTimeSpec(outputTimeStep);
simTaskDesc.setTimeBounds(timeBounds);
simTaskDesc.setTimeStep(timeStep);
if (simTaskDesc.getSolverDescription().supports(outputTimeSpec)) {
simTaskDesc.setOutputTimeSpec(outputTimeSpec);
} else {
simTaskDesc.setOutputTimeSpec(new DefaultOutputTimeSpec(1, Integer.max(DefaultOutputTimeSpec.DEFAULT_KEEP_AT_MOST, outputNumberOfPoints)));
}
newSimulation.setSolverTaskDescription(simTaskDesc);
newSimulation.setDescription(SEDMLUtil.getName(selectedTask));
bioModel.addSimulation(newSimulation);
newSimulation.refreshDependencies();
}
return docs;
} catch (Exception e) {
e.printStackTrace();
throw new RuntimeException("Unable to initialize bioModel for the given selection\n" + e.getMessage());
}
}
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