Examples with SimulationVersion org.vcell.util.document.SimulationVersion used on opensource projects

Example 6 with SimulationVersion

use of org.vcell.util.document.SimulationVersion in project vcell by virtualcell.

the class SimulationDbDriver method insertVersionable.

/**
 * This method was created in VisualAge.
 * @return cbit.sql.KeyValue
 * @param versionable cbit.sql.Versionable
 * @param pRef cbit.sql.KeyValue
 * @param bCommit boolean
 */
public KeyValue insertVersionable(InsertHashtable hash, Connection con, User user, Simulation simulation, KeyValue updatedMathDescriptionKey, String name, boolean bVersion, boolean bMathematicallyEquivalent) throws DataAccessException, SQLException, RecordChangedException {
    SimulationVersion newSimulationVersion = insertVersionableInit(hash, con, user, simulation, name, simulation.getDescription(), bVersion, bMathematicallyEquivalent);
    insertSimulationSQL(hash, con, user, simulation, updatedMathDescriptionKey, newSimulationVersion, bVersion);
    return newSimulationVersion.getVersionKey();
}

Example 7 with SimulationVersion

use of org.vcell.util.document.SimulationVersion in project vcell by virtualcell.

the class VCellSBMLSolver method solve.

public File solve(String filePrefix, File outDir, String sbmlFileName, SimSpec testSpec) throws IOException, SolverException, SbmlException {
    try {
        cbit.util.xml.VCLogger sbmlImportLogger = new LocalLogger();
        // 
        // Instantiate an SBMLImporter to get the speciesUnitsHash - to compute the conversion factor from VC->SB species units.
        // and import SBML  (sbml->bioModel)
        BioModel bioModel = importSBML(sbmlFileName, sbmlImportLogger, false);
        // Hashtable<String, SBMLImporter.SBVCConcentrationUnits> speciesUnitsHash = sbmlImporter.getSpeciesUnitsHash();
        // double timeFactor = sbmlImporter.getSBMLTimeUnitsFactor();
        String vcml_1 = XmlHelper.bioModelToXML(bioModel);
        SBMLUtils.writeStringToFile(vcml_1, new File(outDir, filePrefix + ".vcml").getAbsolutePath(), true);
        if (bRoundTrip) {
            // Round trip the bioModel (bioModel->sbml->bioModel).
            // save imported "bioModel" as VCML
            // String vcml_1 = XmlHelper.bioModelToXML(bioModel);
            // SBMLUtils.writeStringToFile(vcml_1, new File(outDir,filePrefix+".vcml").getAbsolutePath());
            // export bioModel as sbml and save
            // String vcml_sbml = cbit.vcell.xml.XmlHelper.exportSBML(bioModel, 2, 1, bioModel.getSimulationContexts(0).getName());
            // SimulationJob simJob = new SimulationJob(bioModel.getSimulations(bioModel.getSimulationContexts(0))[0], null, 0);
            String vcml_sbml = cbit.vcell.xml.XmlHelper.exportSBML(bioModel, 2, 1, 0, false, bioModel.getSimulationContext(0), null);
            SBMLUtils.writeStringToFile(vcml_sbml, new File(outDir, filePrefix + ".vcml.sbml").getAbsolutePath(), true);
            // re-import bioModel from exported sbml
            XMLSource vcml_sbml_Src = new XMLSource(vcml_sbml);
            BioModel newBioModel = (BioModel) XmlHelper.importSBML(sbmlImportLogger, vcml_sbml_Src, false);
            String vcml_sbml_vcml = XmlHelper.bioModelToXML(newBioModel);
            SBMLUtils.writeStringToFile(vcml_sbml_vcml, new File(outDir, filePrefix + ".vcml.sbml.vcml").getAbsolutePath(), true);
            // have rest of code use the round-tripped biomodel
            bioModel = newBioModel;
        }
        // 
        // select only Application, generate math, and create a single Simulation.
        // 
        SimulationContext simContext = bioModel.getSimulationContext(0);
        MathMapping mathMapping = simContext.createNewMathMapping();
        MathDescription mathDesc = mathMapping.getMathDescription();
        String vcml = mathDesc.getVCML();
        try (PrintWriter pw = new PrintWriter("vcmlTrace.txt")) {
            pw.println(vcml);
        }
        simContext.setMathDescription(mathDesc);
        SimulationVersion simVersion = new SimulationVersion(new KeyValue("100"), "unnamed", null, null, null, null, null, null, null, null);
        Simulation sim = new Simulation(simVersion, mathDesc);
        sim.setName("unnamed");
        // if time factor from SBML is not 1 (i.e., it is not in secs but in minutes or hours), convert endTime to min/hr as : endTime*timeFactor
        // double endTime = testSpec.getEndTime()*timeFactor;
        double endTime = testSpec.getEndTime();
        sim.getSolverTaskDescription().setTimeBounds(new TimeBounds(0, endTime));
        TimeStep timeStep = new TimeStep();
        sim.getSolverTaskDescription().setTimeStep(new TimeStep(timeStep.getMinimumTimeStep(), timeStep.getDefaultTimeStep(), endTime / 10000));
        sim.getSolverTaskDescription().setOutputTimeSpec(new UniformOutputTimeSpec((endTime - 0) / testSpec.getNumTimeSteps()));
        sim.getSolverTaskDescription().setErrorTolerance(new ErrorTolerance(1e-10, 1e-12));
        // sim.getSolverTaskDescription().setErrorTolerance(new cbit.vcell.solver.ErrorTolerance(1e-10, 1e-12));
        // Generate .idaInput string
        /*			IDAFileWriter idaFileWriter = new IDAFileWriter(sim);
			File idaInputFile = new File(filePathName.replace(".vcml", ".idaInput"));
			PrintWriter idaPW = new java.io.PrintWriter(idaInputFile);
			idaFileWriter.writeInputFile(idaPW);
			idaPW.close();

			// use the idastandalone solver
			File idaOutputFile = new File(filePathName.replace(".vcml", ".ida"));
			Executable executable = new Executable("IDAStandalone " + idaInputFile + " " + idaOutputFile);
			executable.start();
*/
        // Generate .cvodeInput string
        File cvodeFile = new File(outDir, filePrefix + SimDataConstants.CVODEINPUT_DATA_EXTENSION);
        PrintWriter cvodePW = new java.io.PrintWriter(cvodeFile);
        SimulationJob simJob = new SimulationJob(sim, 0, null);
        SimulationTask simTask = new SimulationTask(simJob, 0);
        CVodeFileWriter cvodeFileWriter = new CVodeFileWriter(cvodePW, simTask);
        cvodeFileWriter.write();
        cvodePW.close();
        // use the cvodeStandalone solver
        File cvodeOutputFile = new File(outDir, filePrefix + SimDataConstants.IDA_DATA_EXTENSION);
        String executableName = null;
        try {
            executableName = SolverUtilities.getExes(SolverDescription.CVODE)[0].getAbsolutePath();
        } catch (IOException e) {
            throw new RuntimeException("failed to get executable for solver " + SolverDescription.CVODE.getDisplayLabel() + ": " + e.getMessage(), e);
        }
        Executable executable = new Executable(new String[] { executableName, cvodeFile.getAbsolutePath(), cvodeOutputFile.getAbsolutePath() });
        executable.start();
        // get the result
        ODESolverResultSet odeSolverResultSet = getODESolverResultSet(simJob, cvodeOutputFile.getPath());
        // 
        // print header
        // 
        File outputFile = new File(outDir, filePrefix + ".vcell.csv");
        java.io.PrintStream outputStream = new java.io.PrintStream(new java.io.BufferedOutputStream(new java.io.FileOutputStream(outputFile)));
        outputStream.print("time");
        for (int i = 0; i < testSpec.getVarsList().length; i++) {
            outputStream.print("," + testSpec.getVarsList()[i]);
        }
        outputStream.println();
        // 
        // extract data for time and species
        // 
        double[][] data = new double[testSpec.getVarsList().length + 1][];
        int column = odeSolverResultSet.findColumn("t");
        data[0] = odeSolverResultSet.extractColumn(column);
        int origDataLength = data[0].length;
        for (int i = 0; i < testSpec.getVarsList().length; i++) {
            column = odeSolverResultSet.findColumn(testSpec.getVarsList()[i]);
            if (column == -1) {
                Variable var = simJob.getSimulationSymbolTable().getVariable(testSpec.getVarsList()[i]);
                data[i + 1] = new double[data[0].length];
                if (var instanceof cbit.vcell.math.Constant) {
                    double value = ((cbit.vcell.math.Constant) var).getExpression().evaluateConstant();
                    for (int j = 0; j < data[i + 1].length; j++) {
                        data[i + 1][j] = value;
                    }
                } else {
                    throw new RuntimeException("Did not find " + testSpec.getVarsList()[i] + " in simulation");
                }
            } else {
                data[i + 1] = odeSolverResultSet.extractColumn(column);
            }
        }
        // 
        // for each time, print row
        // 
        int index = 0;
        double[] sampleTimes = new double[testSpec.getNumTimeSteps() + 1];
        for (int i = 0; i <= testSpec.getNumTimeSteps(); i++) {
            sampleTimes[i] = endTime * i / testSpec.getNumTimeSteps();
        }
        Model vcModel = bioModel.getModel();
        ReservedSymbol kMole = vcModel.getKMOLE();
        for (int i = 0; i < sampleTimes.length; i++) {
            // 
            while (true) {
                // 
                if (index == odeSolverResultSet.getRowCount() - 1) {
                    if (data[0][index] == sampleTimes[i]) {
                        break;
                    } else {
                        throw new RuntimeException("sampleTime does not match at last time point");
                    }
                }
                // 
                if (data[0][index + 1] > sampleTimes[i]) {
                    break;
                }
                // 
                // sampleTime must be later in our data list.
                // 
                index++;
            }
            // if data[0][index] == sampleTime no need to interpolate
            if (data[0][index] == sampleTimes[i]) {
                // if timeFactor is not 1.0, time is not in seconds (mins or hrs); if timeFactor is 60, divide sampleTime/60; if it is 3600, divide sampleTime/3600.
                // if (timeFactor != 1.0) {
                // outputStream.print(data[0][index]/timeFactor);
                // } else {
                outputStream.print(data[0][index]);
                // }
                for (int j = 0; j < testSpec.getVarsList().length; j++) {
                    // SBMLImporter.SBVCConcentrationUnits spConcUnits = speciesUnitsHash.get(testSpec.getVarsList()[j]);
                    // if (spConcUnits != null) {
                    // VCUnitDefinition sbunits = spConcUnits.getSBConcentrationUnits();
                    // VCUnitDefinition vcunits = spConcUnits.getVCConcentrationUnits();
                    // SBMLUnitParameter unitFactor = SBMLUtils.getConcUnitFactor("spConcParam", vcunits, sbunits, kMole);
                    // outputStream.print("," + data[j + 1][index] * unitFactor.getExpression().evaluateConstant()); 		//earlier, hack unitfactor = 0.000001
                    // earlier, hack unitfactor = 0.000001
                    outputStream.print("," + data[j + 1][index]);
                // }
                }
                // System.out.println("No interpolation needed!");
                outputStream.println();
            } else {
                // if data[0][index] < sampleTime, must interpolate
                double fraction = (sampleTimes[i] - data[0][index]) / (data[0][index + 1] - data[0][index]);
                // if timeFactor is not 1.0, time is not in seconds (mins or hrs); if timeFactor is 60, divide sampleTime/60; if it is 3600, divide sampleTime/3600.
                // if (timeFactor != 1.0) {
                // outputStream.print(sampleTimes[i]/timeFactor);
                // } else {
                outputStream.print(sampleTimes[i]);
                // }
                for (int j = 0; j < testSpec.getVarsList().length; j++) {
                    double interpolatedValue = 0.0;
                    double[] speciesVals = null;
                    double[] times = null;
                    // Currently using 2nd order interpolation
                    if (index == 0) {
                        // can only do 1st order interpolation
                        times = new double[] { data[0][index], data[0][index + 1] };
                        speciesVals = new double[] { data[j + 1][index], data[j + 1][index + 1] };
                        interpolatedValue = MathTestingUtilities.taylorInterpolation(sampleTimes[i], times, speciesVals);
                    } else if (index >= 1 && index <= origDataLength - 3) {
                        double val_1 = Math.abs(sampleTimes[i] - data[0][index - 1]);
                        double val_2 = Math.abs(sampleTimes[i] - data[0][index + 2]);
                        if (val_1 < val_2) {
                            times = new double[] { data[0][index - 1], data[0][index], data[0][index + 1] };
                            speciesVals = new double[] { data[j + 1][index - 1], data[j + 1][index], data[j + 1][index + 1] };
                        } else {
                            times = new double[] { data[0][index], data[0][index + 1], data[0][index + 2] };
                            speciesVals = new double[] { data[j + 1][index], data[j + 1][index + 1], data[j + 1][index + 2] };
                        }
                        interpolatedValue = MathTestingUtilities.taylorInterpolation(sampleTimes[i], times, speciesVals);
                    } else {
                        times = new double[] { data[0][index - 1], data[0][index], data[0][index + 1] };
                        speciesVals = new double[] { data[j + 1][index - 1], data[j + 1][index], data[j + 1][index + 1] };
                        interpolatedValue = MathTestingUtilities.taylorInterpolation(sampleTimes[i], times, speciesVals);
                    }
                    // // Currently using 1st order interpolation
                    // times = new double[] { data[0][index], data[0][index+1] };
                    // speciesVals = new double[] { data[j+1][index], data[j+1][index+1] };
                    // interpolatedValue = taylorInterpolation(sampleTimes[i], times, speciesVals);
                    // interpolatedValue = interpolatedValue * unitFactor.getExpression().evaluateConstant(); 		//earlier, hack unitfactor = 0.000001
                    // System.out.println("Sample time: " + sampleTimes[i] + ", between time[" + index + "]=" + data[0][index]+" and time["+(index+1)+"]="+(data[0][index+1])+", interpolated = "+interpolatedValue);
                    outputStream.print("," + interpolatedValue);
                }
                outputStream.println();
            }
        }
        outputStream.close();
        return outputFile;
    } catch (RuntimeException e) {
        e.printStackTrace(System.out);
        // rethrow without losing context
        throw e;
    } catch (Exception e) {
        e.printStackTrace(System.out);
        throw new SolverException(e.getMessage(), e);
    }
}

Example 8 with SimulationVersion

use of org.vcell.util.document.SimulationVersion in project vcell by virtualcell.

the class VCellSBMLSolver method solveVCell.

public File solveVCell(String filePrefix, File outDir, String sbmlFileName, SimSpec testSpec) throws IOException, SolverException, SbmlException {
    try {
        cbit.util.xml.VCLogger logger = new LocalLogger();
        // 
        // Instantiate an SBMLImporter to get the speciesUnitsHash - to compute the conversion factor from VC->SB species units.
        // and import SBML  (sbml->bioModel)
        org.vcell.sbml.vcell.SBMLImporter sbmlImporter = new org.vcell.sbml.vcell.SBMLImporter(sbmlFileName, logger, false);
        BioModel bioModel = sbmlImporter.getBioModel();
        if (bRoundTrip) {
            // Round trip the bioModel (bioModel->sbml->bioModel).
            // export bioModel as sbml and save
            String vcml_sbml = cbit.vcell.xml.XmlHelper.exportSBML(bioModel, 2, 1, 0, false, bioModel.getSimulationContext(0), null);
            // re-import bioModel from exported sbml
            XMLSource vcml_sbml_Src = new XMLSource(vcml_sbml);
            BioModel newBioModel = (BioModel) XmlHelper.importSBML(logger, vcml_sbml_Src, false);
            // have rest of code use the round-tripped biomodel
            bioModel = newBioModel;
        }
        // 
        // select only Application, generate math, and create a single Simulation.
        // 
        SimulationContext simContext = bioModel.getSimulationContext(0);
        MathMapping mathMapping = simContext.createNewMathMapping();
        MathDescription mathDesc = mathMapping.getMathDescription();
        simContext.setMathDescription(mathDesc);
        SimulationVersion simVersion = new SimulationVersion(new KeyValue("100"), "unnamed", null, null, null, null, null, null, null, null);
        Simulation sim = new Simulation(simVersion, mathDesc);
        sim.setName("unnamed");
        // if time factor from SBML is not 1 (i.e., it is not in secs but in minutes or hours), convert endTime to min/hr as : endTime*timeFactor
        // double endTime = testSpec.getEndTime()*timeFactor;
        double endTime = testSpec.getEndTime();
        sim.getSolverTaskDescription().setTimeBounds(new TimeBounds(0, endTime));
        TimeStep timeStep = new TimeStep();
        sim.getSolverTaskDescription().setTimeStep(new TimeStep(timeStep.getMinimumTimeStep(), timeStep.getDefaultTimeStep(), endTime / 10000));
        sim.getSolverTaskDescription().setOutputTimeSpec(new UniformOutputTimeSpec((endTime - 0) / testSpec.getNumTimeSteps()));
        sim.getSolverTaskDescription().setErrorTolerance(new ErrorTolerance(testSpec.getAbsTolerance(), testSpec.getRelTolerance()));
        // sim.getSolverTaskDescription().setErrorTolerance(new ErrorTolerance(1e-10, 1e-12));
        // Generate .idaInput string
        File idaInputFile = new File(outDir, filePrefix + SimDataConstants.IDAINPUT_DATA_EXTENSION);
        PrintWriter idaPW = new java.io.PrintWriter(idaInputFile);
        SimulationJob simJob = new SimulationJob(sim, 0, null);
        SimulationTask simTask = new SimulationTask(simJob, 0);
        IDAFileWriter idaFileWriter = new IDAFileWriter(idaPW, simTask);
        idaFileWriter.write();
        idaPW.close();
        // use the idastandalone solver
        File idaOutputFile = new File(outDir, filePrefix + SimDataConstants.IDA_DATA_EXTENSION);
        // String sundialsSolverExecutable = "C:\\Developer\\Eclipse\\workspace\\VCell 4.8\\SundialsSolverStandalone_NoMessaging.exe";
        String executableName = null;
        try {
            executableName = SolverUtilities.getExes(SolverDescription.IDA)[0].getAbsolutePath();
        } catch (IOException e) {
            throw new RuntimeException("failed to get executable for solver " + SolverDescription.IDA.getDisplayLabel() + ": " + e.getMessage(), e);
        }
        Executable executable = new Executable(new String[] { executableName, idaInputFile.getAbsolutePath(), idaOutputFile.getAbsolutePath() });
        executable.start();
        /*			// Generate .cvodeInput string
			File cvodeFile = new File(outDir,filePrefix+SimDataConstants.CVODEINPUT_DATA_EXTENSION);
			PrintWriter cvodePW = new java.io.PrintWriter(cvodeFile);
			SimulationJob simJob = new SimulationJob(sim, 0, null);
		    CVodeFileWriter cvodeFileWriter = new CVodeFileWriter(cvodePW, simJob);
			cvodeFileWriter.write();
			cvodePW.close();

			// use the cvodeStandalone solver
			File cvodeOutputFile = new File(outDir,filePrefix+SimDataConstants.IDA_DATA_EXTENSION);
			String sundialsSolverExecutable = PropertyLoader.getRequiredProperty(PropertyLoader.sundialsSolverExecutableProperty);
			Executable executable = new Executable(new String[]{sundialsSolverExecutable, cvodeFile.getAbsolutePath(), cvodeOutputFile.getAbsolutePath()});
			executable.start();
*/
        // get the result
        ODESolverResultSet odeSolverResultSet = getODESolverResultSet(simJob, idaOutputFile.getPath());
        // remove CVOde input and output files ??
        idaInputFile.delete();
        idaOutputFile.delete();
        // 
        // print header
        // 
        File outputFile = new File(outDir, "results" + filePrefix + ".csv");
        java.io.PrintStream outputStream = new java.io.PrintStream(new java.io.BufferedOutputStream(new java.io.FileOutputStream(outputFile)));
        outputStream.print("time");
        for (int i = 0; i < testSpec.getVarsList().length; i++) {
            outputStream.print("," + testSpec.getVarsList()[i]);
        }
        outputStream.println();
        // 
        // extract data for time and species
        // 
        double[][] data = new double[testSpec.getVarsList().length + 1][];
        int column = odeSolverResultSet.findColumn("t");
        data[0] = odeSolverResultSet.extractColumn(column);
        int origDataLength = data[0].length;
        for (int i = 0; i < testSpec.getVarsList().length; i++) {
            column = odeSolverResultSet.findColumn(testSpec.getVarsList()[i]);
            if (column == -1) {
                Variable var = simJob.getSimulationSymbolTable().getVariable(testSpec.getVarsList()[i]);
                data[i + 1] = new double[data[0].length];
                if (var instanceof cbit.vcell.math.Constant) {
                    double value = ((cbit.vcell.math.Constant) var).getExpression().evaluateConstant();
                    for (int j = 0; j < data[i + 1].length; j++) {
                        data[i + 1][j] = value;
                    }
                } else {
                    throw new RuntimeException("Did not find " + testSpec.getVarsList()[i] + " in simulation");
                }
            } else {
                data[i + 1] = odeSolverResultSet.extractColumn(column);
            }
        }
        // 
        // for each time, print row
        // 
        int index = 0;
        double[] sampleTimes = new double[testSpec.getNumTimeSteps() + 1];
        for (int i = 0; i <= testSpec.getNumTimeSteps(); i++) {
            sampleTimes[i] = endTime * i / testSpec.getNumTimeSteps();
        }
        Model vcModel = bioModel.getModel();
        ReservedSymbol kMole = vcModel.getKMOLE();
        for (int i = 0; i < sampleTimes.length; i++) {
            // 
            while (true) {
                // 
                if (index == odeSolverResultSet.getRowCount() - 1) {
                    if (data[0][index] == sampleTimes[i]) {
                        break;
                    } else {
                        throw new RuntimeException("sampleTime does not match at last time point");
                    }
                }
                // 
                if (data[0][index + 1] > sampleTimes[i]) {
                    break;
                }
                // 
                // sampleTime must be later in our data list.
                // 
                index++;
            }
            // if data[0][index] == sampleTime no need to interpolate
            if (data[0][index] == sampleTimes[i]) {
                // if timeFactor is not 1.0, time is not in seconds (mins or hrs); if timeFactor is 60, divide sampleTime/60; if it is 3600, divide sampleTime/3600.
                // if (timeFactor != 1.0) {
                // outputStream.print(data[0][index]/timeFactor);
                // } else {
                outputStream.print(data[0][index]);
                // }
                for (int j = 0; j < testSpec.getVarsList().length; j++) {
                    // SBMLImporter.SBVCConcentrationUnits spConcUnits = speciesUnitsHash.get(testSpec.getVarsList()[j]);
                    // if (spConcUnits != null) {
                    // VCUnitDefinition sbunits = spConcUnits.getSBConcentrationUnits();
                    // VCUnitDefinition vcunits = spConcUnits.getVCConcentrationUnits();
                    // SBMLUnitParameter unitFactor = SBMLUtils.getConcUnitFactor("spConcParam", vcunits, sbunits, kMole);
                    // outputStream.print("," + data[j + 1][index] * unitFactor.getExpression().evaluateConstant()); 		//earlier, hack unitfactor = 0.000001
                    // earlier, hack unitfactor = 0.000001
                    outputStream.print("," + data[j + 1][index]);
                // }
                }
                // System.out.println("No interpolation needed!");
                outputStream.println();
            } else {
                // if data[0][index] < sampleTime, must interpolate
                double fraction = (sampleTimes[i] - data[0][index]) / (data[0][index + 1] - data[0][index]);
                // if timeFactor is not 1.0, time is not in seconds (mins or hrs); if timeFactor is 60, divide sampleTime/60; if it is 3600, divide sampleTime/3600.
                // if (timeFactor != 1.0) {
                // outputStream.print(sampleTimes[i]/timeFactor);
                // } else {
                outputStream.print(sampleTimes[i]);
                // }
                for (int j = 0; j < testSpec.getVarsList().length; j++) {
                    double interpolatedValue = 0.0;
                    double[] speciesVals = null;
                    double[] times = null;
                    // Currently using 2nd order interpolation
                    if (index == 0) {
                        // can only do 1st order interpolation
                        times = new double[] { data[0][index], data[0][index + 1] };
                        speciesVals = new double[] { data[j + 1][index], data[j + 1][index + 1] };
                        interpolatedValue = MathTestingUtilities.taylorInterpolation(sampleTimes[i], times, speciesVals);
                    } else if (index >= 1 && index <= origDataLength - 3) {
                        double val_1 = Math.abs(sampleTimes[i] - data[0][index - 1]);
                        double val_2 = Math.abs(sampleTimes[i] - data[0][index + 2]);
                        if (val_1 < val_2) {
                            times = new double[] { data[0][index - 1], data[0][index], data[0][index + 1] };
                            speciesVals = new double[] { data[j + 1][index - 1], data[j + 1][index], data[j + 1][index + 1] };
                        } else {
                            times = new double[] { data[0][index], data[0][index + 1], data[0][index + 2] };
                            speciesVals = new double[] { data[j + 1][index], data[j + 1][index + 1], data[j + 1][index + 2] };
                        }
                        interpolatedValue = MathTestingUtilities.taylorInterpolation(sampleTimes[i], times, speciesVals);
                    } else {
                        times = new double[] { data[0][index - 1], data[0][index], data[0][index + 1] };
                        speciesVals = new double[] { data[j + 1][index - 1], data[j + 1][index], data[j + 1][index + 1] };
                        interpolatedValue = MathTestingUtilities.taylorInterpolation(sampleTimes[i], times, speciesVals);
                    }
                    // // Currently using 1st order interpolation
                    // times = new double[] { data[0][index], data[0][index+1] };
                    // speciesVals = new double[] { data[j+1][index], data[j+1][index+1] };
                    // interpolatedValue = taylorInterpolation(sampleTimes[i], times, speciesVals);
                    // interpolatedValue = interpolatedValue * unitFactor.getExpression().evaluateConstant(); 		//earlier, hack unitfactor = 0.000001
                    // System.out.println("Sample time: " + sampleTimes[i] + ", between time[" + index + "]=" + data[0][index]+" and time["+(index+1)+"]="+(data[0][index+1])+", interpolated = "+interpolatedValue);
                    outputStream.print("," + interpolatedValue);
                }
                outputStream.println();
            }
        }
        outputStream.close();
        return outputFile;
    } catch (Exception e) {
        e.printStackTrace(System.out);
        // File outputFile = new File(outDir,"results" + filePrefix + ".csv");
        throw new SolverException(e.getMessage());
    }
}

Example 9 with SimulationVersion

use of org.vcell.util.document.SimulationVersion in project vcell by virtualcell.

the class FRAPStudy method createNewSimBioModel.

public static BioModel createNewSimBioModel(FRAPStudy sourceFrapStudy, Parameter[] params, TimeStep tStep, KeyValue simKey, User owner, int startingIndexForRecovery) throws Exception {
    if (owner == null) {
        throw new Exception("Owner is not defined");
    }
    ROI cellROI_2D = sourceFrapStudy.getFrapData().getRoi(FRAPData.VFRAP_ROI_ENUM.ROI_CELL.name());
    double df = params[FRAPModel.INDEX_PRIMARY_DIFF_RATE].getInitialGuess();
    double ff = params[FRAPModel.INDEX_PRIMARY_FRACTION].getInitialGuess();
    double bwmRate = params[FRAPModel.INDEX_BLEACH_MONITOR_RATE].getInitialGuess();
    double dc = 0;
    double fc = 0;
    double bs = 0;
    double onRate = 0;
    double offRate = 0;
    if (params.length == FRAPModel.NUM_MODEL_PARAMETERS_TWO_DIFF) {
        dc = params[FRAPModel.INDEX_SECONDARY_DIFF_RATE].getInitialGuess();
        fc = params[FRAPModel.INDEX_SECONDARY_FRACTION].getInitialGuess();
    } else if (params.length == FRAPModel.NUM_MODEL_PARAMETERS_BINDING) {
        dc = params[FRAPModel.INDEX_SECONDARY_DIFF_RATE].getInitialGuess();
        fc = params[FRAPModel.INDEX_SECONDARY_FRACTION].getInitialGuess();
        bs = params[FRAPModel.INDEX_BINDING_SITE_CONCENTRATION].getInitialGuess();
        onRate = params[FRAPModel.INDEX_ON_RATE].getInitialGuess();
        offRate = params[FRAPModel.INDEX_OFF_RATE].getInitialGuess();
    }
    // immobile fraction
    double fimm = 1 - ff - fc;
    if (fimm < FRAPOptimizationUtils.epsilon && fimm > (0 - FRAPOptimizationUtils.epsilon)) {
        fimm = 0;
    }
    if (fimm < (1 + FRAPOptimizationUtils.epsilon) && fimm > (1 - FRAPOptimizationUtils.epsilon)) {
        fimm = 1;
    }
    Extent extent = sourceFrapStudy.getFrapData().getImageDataset().getExtent();
    double[] timeStamps = sourceFrapStudy.getFrapData().getImageDataset().getImageTimeStamps();
    TimeBounds timeBounds = new TimeBounds(0.0, timeStamps[timeStamps.length - 1] - timeStamps[startingIndexForRecovery]);
    double timeStepVal = timeStamps[startingIndexForRecovery + 1] - timeStamps[startingIndexForRecovery];
    int numX = cellROI_2D.getRoiImages()[0].getNumX();
    int numY = cellROI_2D.getRoiImages()[0].getNumY();
    int numZ = cellROI_2D.getRoiImages().length;
    short[] shortPixels = cellROI_2D.getRoiImages()[0].getPixels();
    byte[] bytePixels = new byte[numX * numY * numZ];
    final byte EXTRACELLULAR_PIXVAL = 0;
    final byte CYTOSOL_PIXVAL = 1;
    for (int i = 0; i < bytePixels.length; i++) {
        if (shortPixels[i] != 0) {
            bytePixels[i] = CYTOSOL_PIXVAL;
        }
    }
    VCImage maskImage;
    try {
        maskImage = new VCImageUncompressed(null, bytePixels, extent, numX, numY, numZ);
    } catch (ImageException e) {
        e.printStackTrace();
        throw new RuntimeException("failed to create mask image for geometry");
    }
    Geometry geometry = new Geometry("geometry", maskImage);
    if (geometry.getGeometrySpec().getNumSubVolumes() != 2) {
        throw new Exception("Cell ROI has no ExtraCellular.");
    }
    int subVolume0PixVal = ((ImageSubVolume) geometry.getGeometrySpec().getSubVolume(0)).getPixelValue();
    geometry.getGeometrySpec().getSubVolume(0).setName((subVolume0PixVal == EXTRACELLULAR_PIXVAL ? EXTRACELLULAR_NAME : CYTOSOL_NAME));
    int subVolume1PixVal = ((ImageSubVolume) geometry.getGeometrySpec().getSubVolume(1)).getPixelValue();
    geometry.getGeometrySpec().getSubVolume(1).setName((subVolume1PixVal == CYTOSOL_PIXVAL ? CYTOSOL_NAME : EXTRACELLULAR_NAME));
    geometry.getGeometrySurfaceDescription().updateAll();
    BioModel bioModel = new BioModel(null);
    bioModel.setName("unnamed");
    Model model = new Model("model");
    bioModel.setModel(model);
    model.addFeature(EXTRACELLULAR_NAME);
    Feature extracellular = (Feature) model.getStructure(EXTRACELLULAR_NAME);
    model.addFeature(CYTOSOL_NAME);
    Feature cytosol = (Feature) model.getStructure(CYTOSOL_NAME);
    // Membrane mem = model.addMembrane(EXTRACELLULAR_CYTOSOL_MEM_NAME);
    // model.getStructureTopology().setInsideFeature(mem, cytosol);
    // model.getStructureTopology().setOutsideFeature(mem, extracellular);
    String roiDataName = FRAPStudy.ROI_EXTDATA_NAME;
    final int SPECIES_COUNT = 4;
    final int FREE_SPECIES_INDEX = 0;
    final int BS_SPECIES_INDEX = 1;
    final int COMPLEX_SPECIES_INDEX = 2;
    final int IMMOBILE_SPECIES_INDEX = 3;
    Expression[] diffusionConstants = null;
    Species[] species = null;
    SpeciesContext[] speciesContexts = null;
    Expression[] initialConditions = null;
    diffusionConstants = new Expression[SPECIES_COUNT];
    species = new Species[SPECIES_COUNT];
    speciesContexts = new SpeciesContext[SPECIES_COUNT];
    initialConditions = new Expression[SPECIES_COUNT];
    // total initial condition
    FieldFunctionArguments postBleach_first = new FieldFunctionArguments(roiDataName, "postbleach_first", new Expression(0), VariableType.VOLUME);
    FieldFunctionArguments prebleach_avg = new FieldFunctionArguments(roiDataName, "prebleach_avg", new Expression(0), VariableType.VOLUME);
    Expression expPostBleach_first = new Expression(postBleach_first.infix());
    Expression expPreBleach_avg = new Expression(prebleach_avg.infix());
    Expression totalIniCondition = Expression.div(expPostBleach_first, expPreBleach_avg);
    // Free Species
    diffusionConstants[FREE_SPECIES_INDEX] = new Expression(df);
    species[FREE_SPECIES_INDEX] = new Species(FRAPStudy.SPECIES_NAME_PREFIX_MOBILE, "Mobile bleachable species");
    speciesContexts[FREE_SPECIES_INDEX] = new SpeciesContext(null, species[FREE_SPECIES_INDEX].getCommonName(), species[FREE_SPECIES_INDEX], cytosol);
    initialConditions[FREE_SPECIES_INDEX] = Expression.mult(new Expression(ff), totalIniCondition);
    // Immobile Species (No diffusion)
    // Set very small diffusion rate on immobile to force evaluation as state variable (instead of FieldData function)
    // If left as a function errors occur because functions involving FieldData require a database connection
    final String IMMOBILE_DIFFUSION_KLUDGE = "1e-14";
    diffusionConstants[IMMOBILE_SPECIES_INDEX] = new Expression(IMMOBILE_DIFFUSION_KLUDGE);
    species[IMMOBILE_SPECIES_INDEX] = new Species(FRAPStudy.SPECIES_NAME_PREFIX_IMMOBILE, "Immobile bleachable species");
    speciesContexts[IMMOBILE_SPECIES_INDEX] = new SpeciesContext(null, species[IMMOBILE_SPECIES_INDEX].getCommonName(), species[IMMOBILE_SPECIES_INDEX], cytosol);
    initialConditions[IMMOBILE_SPECIES_INDEX] = Expression.mult(new Expression(fimm), totalIniCondition);
    // BS Species
    diffusionConstants[BS_SPECIES_INDEX] = new Expression(IMMOBILE_DIFFUSION_KLUDGE);
    species[BS_SPECIES_INDEX] = new Species(FRAPStudy.SPECIES_NAME_PREFIX_BINDING_SITE, "Binding Site species");
    speciesContexts[BS_SPECIES_INDEX] = new SpeciesContext(null, species[BS_SPECIES_INDEX].getCommonName(), species[BS_SPECIES_INDEX], cytosol);
    initialConditions[BS_SPECIES_INDEX] = Expression.mult(new Expression(bs), totalIniCondition);
    // Complex species
    diffusionConstants[COMPLEX_SPECIES_INDEX] = new Expression(dc);
    species[COMPLEX_SPECIES_INDEX] = new Species(FRAPStudy.SPECIES_NAME_PREFIX_SLOW_MOBILE, "Slower mobile bleachable species");
    speciesContexts[COMPLEX_SPECIES_INDEX] = new SpeciesContext(null, species[COMPLEX_SPECIES_INDEX].getCommonName(), species[COMPLEX_SPECIES_INDEX], cytosol);
    initialConditions[COMPLEX_SPECIES_INDEX] = Expression.mult(new Expression(fc), totalIniCondition);
    // add reactions to species if there is bleachWhileMonitoring rate.
    for (int i = 0; i < initialConditions.length; i++) {
        model.addSpecies(species[i]);
        model.addSpeciesContext(speciesContexts[i]);
        // reaction with BMW rate, which should not be applied to binding site
        if (!(species[i].getCommonName().equals(FRAPStudy.SPECIES_NAME_PREFIX_BINDING_SITE))) {
            SimpleReaction simpleReaction = new SimpleReaction(model, cytosol, speciesContexts[i].getName() + "_bleach", true);
            model.addReactionStep(simpleReaction);
            simpleReaction.addReactant(speciesContexts[i], 1);
            MassActionKinetics massActionKinetics = new MassActionKinetics(simpleReaction);
            simpleReaction.setKinetics(massActionKinetics);
            KineticsParameter kforward = massActionKinetics.getForwardRateParameter();
            simpleReaction.getKinetics().setParameterValue(kforward, new Expression(new Double(bwmRate)));
        }
    }
    // add the binding reaction: F + BS <-> C
    SimpleReaction simpleReaction2 = new SimpleReaction(model, cytosol, "reac_binding", true);
    model.addReactionStep(simpleReaction2);
    simpleReaction2.addReactant(speciesContexts[FREE_SPECIES_INDEX], 1);
    simpleReaction2.addReactant(speciesContexts[BS_SPECIES_INDEX], 1);
    simpleReaction2.addProduct(speciesContexts[COMPLEX_SPECIES_INDEX], 1);
    MassActionKinetics massActionKinetics = new MassActionKinetics(simpleReaction2);
    simpleReaction2.setKinetics(massActionKinetics);
    KineticsParameter kforward = massActionKinetics.getForwardRateParameter();
    KineticsParameter kreverse = massActionKinetics.getReverseRateParameter();
    simpleReaction2.getKinetics().setParameterValue(kforward, new Expression(new Double(onRate)));
    simpleReaction2.getKinetics().setParameterValue(kreverse, new Expression(new Double(offRate)));
    // create simulation context
    SimulationContext simContext = new SimulationContext(bioModel.getModel(), geometry);
    bioModel.addSimulationContext(simContext);
    FeatureMapping cytosolFeatureMapping = (FeatureMapping) simContext.getGeometryContext().getStructureMapping(cytosol);
    FeatureMapping extracellularFeatureMapping = (FeatureMapping) simContext.getGeometryContext().getStructureMapping(extracellular);
    // Membrane plasmaMembrane = model.getStructureTopology().getMembrane(cytosol, extracellular);
    // MembraneMapping plasmaMembraneMapping = (MembraneMapping)simContext.getGeometryContext().getStructureMapping(plasmaMembrane);
    SubVolume cytSubVolume = geometry.getGeometrySpec().getSubVolume(CYTOSOL_NAME);
    SubVolume exSubVolume = geometry.getGeometrySpec().getSubVolume(EXTRACELLULAR_NAME);
    SurfaceClass pmSurfaceClass = geometry.getGeometrySurfaceDescription().getSurfaceClass(exSubVolume, cytSubVolume);
    cytosolFeatureMapping.setGeometryClass(cytSubVolume);
    extracellularFeatureMapping.setGeometryClass(exSubVolume);
    // plasmaMembraneMapping.setGeometryClass(pmSurfaceClass);
    cytosolFeatureMapping.getUnitSizeParameter().setExpression(new Expression(1.0));
    extracellularFeatureMapping.getUnitSizeParameter().setExpression(new Expression(1.0));
    for (int i = 0; i < speciesContexts.length; i++) {
        SpeciesContextSpec scs = simContext.getReactionContext().getSpeciesContextSpec(speciesContexts[i]);
        scs.getInitialConditionParameter().setExpression(initialConditions[i]);
        scs.getDiffusionParameter().setExpression(diffusionConstants[i]);
    }
    MathMapping mathMapping = simContext.createNewMathMapping();
    MathDescription mathDesc = mathMapping.getMathDescription();
    // Add total fluorescence as function of mobile(optional: and slower mobile) and immobile fractions
    mathDesc.addVariable(new Function(FRAPStudy.SPECIES_NAME_PREFIX_COMBINED, new Expression(species[FREE_SPECIES_INDEX].getCommonName() + "+" + species[COMPLEX_SPECIES_INDEX].getCommonName() + "+" + species[IMMOBILE_SPECIES_INDEX].getCommonName()), null));
    simContext.setMathDescription(mathDesc);
    SimulationVersion simVersion = new SimulationVersion(simKey, "sim1", owner, new GroupAccessNone(), new KeyValue("0"), new BigDecimal(0), new Date(), VersionFlag.Current, "", null);
    Simulation newSimulation = new Simulation(simVersion, mathDesc);
    simContext.addSimulation(newSimulation);
    newSimulation.getSolverTaskDescription().setTimeBounds(timeBounds);
    newSimulation.getMeshSpecification().setSamplingSize(cellROI_2D.getISize());
    // newSimulation.getSolverTaskDescription().setTimeStep(timeStep); // Sundials doesn't need time step
    newSimulation.getSolverTaskDescription().setSolverDescription(SolverDescription.SundialsPDE);
    // use exp time step as output time spec
    newSimulation.getSolverTaskDescription().setOutputTimeSpec(new UniformOutputTimeSpec(timeStepVal));
    return bioModel;
}

Example 10 with SimulationVersion

use of org.vcell.util.document.SimulationVersion in project vcell by virtualcell.

the class SimulationDbDriver method updateVersionable.

/**
 * This method was created in VisualAge.
 * @return cbit.image.VCImage
 * @param user cbit.vcell.server.User
 * @param image cbit.image.VCImage
 */
public KeyValue updateVersionable(InsertHashtable hash, Connection con, User user, Simulation simulation, KeyValue updatedMathDescriptionKey, boolean bVersion, boolean bMathematicallyEquivalent) throws DataAccessException, SQLException, RecordChangedException {
    SimulationVersion newSimulationVersion = updateVersionableInit(hash, con, user, simulation, bVersion, bMathematicallyEquivalent);
    insertSimulationSQL(hash, con, user, simulation, updatedMathDescriptionKey, newSimulationVersion, bVersion);
    return newSimulationVersion.getVersionKey();
}