@Override
public String save() {
// initialising the values for free text transformers
for (Leaf l : selectedPlan.getTree().getRoot().getAllLeaves()) {
l.initTransformer();
}
return super.save();
}
/**
* We have the rule that all evaluation settings have to be either changed or confirmed once by
* the user. This approve function makes it easier to confirm the settings for many leaves at once
* - It touches all currently displayed leaves so that they are marked as confirmed.
*
* @see eu.planets_project.pp.plato.model.values.Value#touch()
*/
public void approve() {
for (Leaf leaf : leaves) {
for (Values values : leaf.getValueMap().values()) {
for (Value value : values.getList()) {
value.touch();
}
}
}
}
/**
* initialises the values in the tree and inits/clears the leaf list
*
* @see AbstractWorkflowStep#init()
*/
public void init() {
clearLogBuffer();
initLeafLists();
boolean xcl = false;
hasAutomatedMeasurements.setBool(false);
Iterator<Leaf> iter = selectedPlan.getTree().getRoot().getAllLeaves().iterator();
while (iter.hasNext()) {
Leaf l = iter.next();
if (l.isMapped()) {
hasAutomatedMeasurements.setBool(true);
if (l.getMeasurementInfo().getProperty().getName().startsWith("xcl/")) {
xcl = true;
}
}
}
if (xcl) {
for (DigitalObject o : selectedPlan.getSampleRecordsDefinition().getRecords()) {
if ((o.getXcdlDescription() == null) || !o.getXcdlDescription().isDataExistent()) {
FacesMessages.instance()
.add(
FacesMessage.SEVERITY_INFO,
"Some XCL descriptions for samples are missing, XCL comparison will not work for these samples. ");
break;
}
}
for (Alternative a : selectedPlan.getAlternativesDefinition().getAlternatives()) {
for (DigitalObject r : a.getExperiment().getResults().values()) {
if ((r.getXcdlDescription() == null) || !r.getXcdlDescription().isDataExistent()) {
FacesMessages.instance()
.add(
FacesMessage.SEVERITY_INFO,
"XCL descriptions for experiment results of "
+ a.getName()
+ " are missing, "
+ "XCL comparison will not work for these objects. ");
break;
}
}
}
}
// TODO for now this is ALWAYS reloaded when entering,
// but should be cached in the future.
MiniRED.getInstance().reloadEvaluators();
refreshMeasurableProperties();
}
/**
* evaluates the given leaves automatically. This is only possible for criteria, where information
* on the measurement has been defined. The registered evaluators are applied one after an other,
* if an evaluator is able to measure a criterion, its value is applied and the criterion is
* excluded from further evaluation.
*
* <p>First per alternative all action related evaluators are called.
*
* <p>Then per alternative, for each sample object, all object/runtime related evaluators are
* called.
*
* @param leaves
*/
private void evaluateLeaves(List<Leaf> leaves) {
clearLogBuffer();
// we evaluate measurements and have to assign each result to the corresponding leaf: build a
// map
HashMap<MeasurementInfoUri, Leaf> measurementOfLeaf = new HashMap<MeasurementInfoUri, Leaf>();
// list of measurements which shall be evaluated
List<MeasurementInfoUri> allMeasurementsToEval = new LinkedList<MeasurementInfoUri>();
for (Leaf l : leaves) {
// measure this criterion automatically
MeasurementInfoUri m = l.getMeasurementInfo().toMeasurementInfoUri();
if ((m != null) && (m.getAsURI() != null)) {
measurementOfLeaf.put(m, l);
allMeasurementsToEval.add(m);
}
}
try {
// start evaluation:
List<MeasurementInfoUri> measurementsToEval = new ArrayList<MeasurementInfoUri>();
// first action evaluators
List<IActionEvaluator> actionEvaluators = MiniRED.getInstance().getActionEvaluationSequence();
for (Alternative alternative :
selectedPlan.getAlternativesDefinition().getConsideredAlternatives()) {
// we want to evaluate each property only once, by the evaluator with the highest priority
measurementsToEval.clear();
measurementsToEval.addAll(allMeasurementsToEval);
for (IActionEvaluator evaluator : actionEvaluators) {
Map<MeasurementInfoUri, Value> results =
evaluator.evaluate(alternative, measurementsToEval, this);
// apply all results
for (MeasurementInfoUri m : results.keySet()) {
Value value = results.get(m);
if (value != null) {
Leaf l = measurementOfLeaf.get(m);
value.setScale(l.getScale());
l.getValues(alternative.getName()).setValue(0, value);
}
}
// exclude evaluated leaves from further evaluation
measurementsToEval.removeAll(results.keySet());
}
}
// then object evaluators
List<IObjectEvaluator> objEvaluators = MiniRED.getInstance().getObjectEvaluationSequence();
for (Alternative alternative :
selectedPlan.getAlternativesDefinition().getConsideredAlternatives()) {
// .. for all alternatives
List<SampleObject> samples = selectedPlan.getSampleRecordsDefinition().getRecords();
for (int i = 0; i < samples.size(); i++) {
// we want to evaluate each property only once, by the evaluator with the highest priority
measurementsToEval.clear();
measurementsToEval.addAll(allMeasurementsToEval);
for (IObjectEvaluator evaluator : objEvaluators) {
DigitalObject r = alternative.getExperiment().getResults().get(samples.get(i));
DigitalObject r2 = (r == null ? null : em.merge(r));
try {
Map<MeasurementInfoUri, Value> results =
evaluator.evaluate(
alternative, em.merge(samples.get(i)), r2, measurementsToEval, this);
// apply all results
for (MeasurementInfoUri m : results.keySet()) {
Value value = results.get(m);
if (value != null) {
Leaf l = measurementOfLeaf.get(m);
value.setScale(l.getScale());
// add evaluation result for the current result-object!
l.getValues(alternative.getName()).setValue(i, value);
}
}
// exclude evaluated leaves from further evaluation
measurementsToEval.removeAll(results.keySet());
} catch (Exception e) {
log.error("evaluator failed" + e.getMessage(), e);
continue;
}
}
}
}
} catch (Exception e) {
log.error("Automated evaluation threw exception " + e.getMessage(), e);
FacesMessages.instance()
.add(FacesMessage.SEVERITY_ERROR, "Automated evaluation failed:" + e.getMessage());
updateStatus("Automated evaluation threw exception " + e.getMessage());
}
Contexts.getEventContext().set("evaluationMessage", evaluationLogBuffer.toString());
}