use of edu.cmu.cs.hcii.cogtool.model.Script in project cogtool by cogtool.
the class SWTListGroupScript method renderRowColumn.
@Override
protected void renderRowColumn(TableItem item, int column) {
Object itemData = item.getData();
if ((itemData instanceof DefaultModelGeneratorState) && (column == 4)) {
Script s = (Script) item.getData(SCRIPT_DATA_KEY);
TaskApplication ta = s.getDemonstration().getTaskApplication();
if (ta != null) {
item.setText(column, ta.getTask().getName());
}
} else {
super.renderRowColumn(item, column);
}
}
use of edu.cmu.cs.hcii.cogtool.model.Script in project cogtool by cogtool.
the class ProjectController method exportCSVKludge.
public void exportCSVKludge() {
for (Design d : project.getDesigns()) {
if (d == null) {
continue;
}
for (TaskApplication ta : project.taskApplicationsForDesign(d).values()) {
if (ta == null) {
continue;
}
Script s = ta.getScript(MODELGEN_ALG);
if (s == null) {
continue;
}
DemoScriptCmd.exportScriptToCSV(s, project, null, undoMgr);
}
}
exportResultsToCSV();
exportDesignToXML(null);
}
use of edu.cmu.cs.hcii.cogtool.model.Script in project cogtool by cogtool.
the class ProjectController method createExportForSanlab.
protected IListenerAction createExportForSanlab() {
return new IListenerAction() {
public Class<?> getParameterClass() {
return ProjectSelectionState.class;
}
public boolean performAction(Object actionParms) {
ProjectSelectionState sel = (ProjectSelectionState) actionParms;
// Must have selected tasks and design
Design design = sel.getSelectedDesign();
AUndertaking[] tasks = sel.getSelectedTasks(TaskSelectionState.ORDER_SELECTION);
if ((design == null) || (tasks == null) || (tasks.length == 0)) {
return false;
}
// Fetch traces for the default algorithm (TODO:)
List<String> traces = getTraces(sel, MODELGEN_ALG, project.getDefaultAlgo());
// Ask user for location of saved file.
File exportFile = interaction.selectExportLocation("cogtool-sanlab", CogToolFileTypes.TEXT_FILE_EXT);
// User canceled
if (exportFile == null) {
return false;
}
boolean okToProceed = false;
for (AUndertaking task : tasks) {
// If no script set exists for this cell, create
TaskApplication ta = project.getTaskApplication(task, design);
if (ta != null) {
if (ta.getDesign() != design) {
throw new RcvrIllegalStateException("Unexpected Design mis-match for SANLab (" + ta.getDesign() + ", " + design + ")");
}
// If no script exists for this cell, create one
Script script = DemoStateManager.ensureScript(ta, MODELGEN_ALG);
try {
IPredictionAlgo taAlg = ta.determineActiveAlgorithm(project);
if (!(taAlg instanceof ACTRPredictionAlgo)) {
throw new RcvrIllegalStateException("Can't export model for SANLab from a non ACT-R task.");
}
if (script.getAssociatedPath() != null) {
File f = new File(script.getAssociatedPath());
// The following will throw an IOException if
// the input file doesn't exist; this is exactly
// the same behaviour as if we're trying to do
// a recompute, and is better than silently
// substituting a generated model file
FileUtil.copyTextFileToFile(f, exportFile);
return true;
}
ACTRPredictionAlgo algo = (ACTRPredictionAlgo) taAlg;
algo.outputModel(design, task, ta.getDemonstration().getStartFrame(), script, exportFile, null);
} catch (UnsupportedOperationException ex) {
throw new RcvrUnimplementedFnException(ex);
} catch (IOException ex) {
throw new RcvrIOException(("IOException exporting SANLab model file for task " + task.getName() + " in design " + design.getName()), ex);
}
}
}
// TODO: should we move this file write somewhere else?
PrintWriter writer = null;
try {
// Attempt to open the output file
FileOutputStream out = new FileOutputStream(exportFile, true);
writer = new PrintWriter(out);
writer.println("\n\n;;; TRACE STARTS HERE");
Matcher mt = TRACE_PAT.matcher("");
// Put each trace line on its own output line
Iterator<String> iter = traces.iterator();
while (iter.hasNext()) {
String s = iter.next();
if (mt.reset(s).matches()) {
writer.println(s);
}
}
writer.flush();
okToProceed = true;
} catch (IOException e) {
throw new RcvrIOSaveException("Writing the trace logs for " + "SANLab failed. \n\n" + "Please try again.", e);
} finally {
if (writer != null) {
writer.close();
}
}
return okToProceed;
}
};
}
use of edu.cmu.cs.hcii.cogtool.model.Script in project cogtool by cogtool.
the class SNIFACTCmd method setUpTaskApplication.
/**
* Generates a script using the given generator and situates the task
* application in the project.
* Assumes the demonstration in the task application already contains a list
* of script steps.
*/
public static void setUpTaskApplication(Project project, TaskApplication ta, CognitiveModelGenerator gen) {
Design design = ta.getDesign();
Demonstration demo = ta.getDemonstration();
DemoStateManager.getStateManager(project, design).trackEdits(demo);
Script s = new Script(demo, gen);
// Scripts generated by the SNIF-ACT algorithm are not editable!
demo.setEditable(false);
Iterator<AScriptStep> newDemoSteps = demo.getStepsAt(0);
List<DefaultModelGeneratorState> newStepStates = new ArrayList<DefaultModelGeneratorState>();
List<String> errorLines = new ArrayList<String>();
DefaultModelGeneratorState stepState = demo.getInitialState();
while (newDemoSteps.hasNext()) {
AScriptStep newDemoStep = newDemoSteps.next();
stepState = gen.generateScriptSteps(newDemoStep, stepState, errorLines, newStepStates);
}
s.replaceStepStates(0, newStepStates);
ta.setScript(gen, s);
project.setTaskApplication(ta);
}
use of edu.cmu.cs.hcii.cogtool.model.Script in project cogtool by cogtool.
the class ProjectController method createImportHumanCSVFileAction.
// Action for ImportHumanCSVFile
protected IListenerAction createImportHumanCSVFileAction() {
return new IListenerAction() {
public Class<?> getParameterClass() {
return ProjectSelectionState.class;
}
public boolean performAction(Object prms) {
ProjectSelectionState seln = (ProjectSelectionState) prms;
// Must have selected tasks and design
Design design = seln.getSelectedDesign();
AUndertaking[] tasks = seln.getSelectedTasks(TaskSelectionState.PRUNE_SELECTION);
if ((design == null) || (tasks == null) || (tasks.length == 0)) {
return false;
}
List<String> outputLines = new LinkedList<String>();
List<String> errorLines = new LinkedList<String>();
// Get csv file
File dataFile = interaction.selectCSVFile();
if (dataFile == null) {
interaction.setStatusMessage(IMPORT_FAIL_NOFILE_MSG);
return false;
}
// Read lines out of file
FileReader reader = null;
try {
reader = new FileReader(dataFile);
FileUtil.readLines(reader, outputLines);
} catch (FileNotFoundException e) {
interaction.setStatusMessage(IMPORT_FAIL_NOFILE_MSG);
throw new RcvrIOTempException("Error in parsing csv", e);
} catch (IOException e) {
interaction.setStatusMessage(IMPORT_FAIL_NOREAD_MSG);
throw new RcvrParsingException("Error in parsing csv", e);
} finally {
if (reader != null) {
try {
reader.close();
} catch (IOException e) {
// ignore
}
reader = null;
}
}
// parse ResultSteps out of trace lines
TraceParser<ResultStep> parser = new HumanCSVParser();
List<ResultStep> steps;
try {
steps = parser.parseTrace(outputLines);
} catch (TraceParser.ParseException e) {
interaction.setStatusMessage(IMPORT_FAIL_PARSE_IMPL_MSG);
throw new RcvrParsingException("Error in parsing implementation", e);
}
System.out.println(steps);
if (steps.size() < 1) {
interaction.setStatusMessage(IMPORT_FAIL_PARSE_MSG);
return false;
}
double taskTime = -1.0;
Iterator<ResultStep> stepIt = steps.iterator();
while (stepIt.hasNext()) {
ResultStep step = stepIt.next();
taskTime = Math.max(taskTime, step.startTime + step.duration);
}
// Scale time to seconds.
taskTime /= 1000.0;
// -------------- Done parsing
DemoStateManager demoMgr = DemoStateManager.getStateManager(project, design);
final TaskApplication[] taskApps = new TaskApplication[tasks.length];
final APredictionResult[] oldResults = new APredictionResult[tasks.length];
final APredictionResult[] results = new APredictionResult[tasks.length];
final IPredictionAlgo[] oldActiveAlgos = new IPredictionAlgo[tasks.length];
for (int i = 0; i < tasks.length; i++) {
taskApps[i] = ensureTaskApplication(tasks[i], design, MODELGEN_ALG, demoMgr);
// If for some reason there are no result steps,
// create a TimePredictionResult that
// reflects COMPUTATION_FAILED.
// Otherwise, create a normal one.
Script script = taskApps[i].getScript(MODELGEN_ALG);
if (taskTime < 0.0) {
results[i] = new TimePredictionResult(dataFile.getName(), script, HumanDataAlgo.ONLY, outputLines, errorLines, steps);
} else {
results[i] = new TimePredictionResult(dataFile.getName(), script, HumanDataAlgo.ONLY, outputLines, errorLines, steps, taskTime);
}
oldResults[i] = taskApps[i].getResult(MODELGEN_ALG, HumanDataAlgo.ONLY);
taskApps[i].setResult(MODELGEN_ALG, HumanDataAlgo.ONLY, results[i]);
oldActiveAlgos[i] = taskApps[i].getActiveAlgorithm();
taskApps[i].setActiveAlgorithm(HumanDataAlgo.ONLY);
}
IUndoableEdit edit = new AUndoableEdit(ProjectLID.RecomputeScript) {
@Override
public String getPresentationName() {
return IMPORT_HUMAN_CSV;
}
@Override
public void redo() {
super.redo();
for (int i = 0; i < taskApps.length; i++) {
taskApps[i].setResult(MODELGEN_ALG, HumanDataAlgo.ONLY, results[i]);
taskApps[i].setActiveAlgorithm(HumanDataAlgo.ONLY);
}
}
@Override
public void undo() {
super.undo();
for (int i = 0; i < taskApps.length; i++) {
taskApps[i].setResult(MODELGEN_ALG, HumanDataAlgo.ONLY, oldResults[i]);
taskApps[i].setActiveAlgorithm(oldActiveAlgos[i]);
}
}
};
undoMgr.addEdit(edit);
interaction.setStatusMessage(IMPORT_SUCCESS_MSG);
return true;
}
};
}
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