Example usage for javax.swing.table TableRowSorter TableRowSorter

Introduction

In this page you can find the example usage for javax.swing.table TableRowSorter TableRowSorter.

Prototype

public TableRowSorter()

Source Link

Document

Creates a TableRowSorter with an empty model.

Usage

From source file:put.semantic.fcanew.ui.MainWindow.java

private void continueStart() {
    final List<Attribute> forced = getAttributes(2);
    if (forced.isEmpty()) {
        forced.addAll(getAttributes(1));
    }/*w  w  w . j a v a  2  s.  c om*/
    logger.trace("START");
    for (Attribute a : getUsedAttributes()) {
        logger.trace("ATTR: {}", a);
    }
    context = new PartialContext(new SimpleSetOfAttributes(getUsedAttributes()), kb);
    context.addProgressListener(progressListener);
    context.updateContext();
    contextTable.setRowSorter(new TableRowSorter<>());
    contextTable.setModel(new ContextDataModel(context));
    contextTable.setDefaultRenderer(Object.class, new PODCellRenderer(kb.getReasoner()));
    Enumeration<TableColumn> e = contextTable.getColumnModel().getColumns();
    JComboBox comboBox = new JComboBox(new Object[] { "+", "-", " " });
    while (e.hasMoreElements()) {
        TableColumn col = e.nextElement();
        col.setHeaderRenderer(new VerticalTableHeaderCellRenderer());
        col.setCellEditor(new DefaultCellEditor(comboBox));
        if (col.getModelIndex() >= 1) {
            col.setPreferredWidth(20);
        }
    }
    List<? extends FeatureCalculator> calculators = availableCalculatorsModel.getChecked();
    for (FeatureCalculator calc : calculators) {
        if (calc instanceof EndpointCalculator) {
            ((EndpointCalculator) calc).setMappings(mappingsPanel1.getMappings());
        }
    }
    Classifier classifier = (Classifier) classifierToUse.getSelectedItem();
    classifier.setRejectedWeight((Double) rejectedWeight.getValue());
    mlExpert = new MLExpert(classifier, (Integer) credibilityTreshold.getValue(), calculators,
            getIgnoreTreshold(), context, getAutoAcceptTreshold());
    mlExpert.addEventListener(new MLExpertEventListener() {

        @Override
        public void implicationAccepted(ImplicationDescription i, boolean autoDecision) {
            logger.trace("ACCEPT");
            setButtonsEnabled(false);
            ((ConfusionMatrix) confusionMatrix.getModel()).add(i.getSuggestion(), Expert.Decision.ACCEPT);
            registerImplication(i.getImplication(), i.getClassificationOutcome(), Expert.Decision.ACCEPT);
        }

        @Override
        public void implicationRejected(ImplicationDescription i, boolean autoDecision) {
            logger.trace("REJECT");
            setButtonsEnabled(false);
            ((ConfusionMatrix) confusionMatrix.getModel()).add(i.getSuggestion(), Expert.Decision.REJECT);
            registerImplication(i.getImplication(), i.getClassificationOutcome(), Expert.Decision.REJECT);
        }

        private TableModel getFeaturesTableModel(Map<String, Double> features) {
            DefaultTableModel model = new DefaultTableModel(new String[] { "feature", "value" }, 0);
            for (Map.Entry<String, Double> f : features.entrySet()) {
                model.addRow(new Object[] { f.getKey(), f.getValue() });
            }
            return model;
        }

        @Override
        public void ask(ImplicationDescription i, String justification) {
            logger.trace("ASK: {}", i.getImplication());
            highlightButton(i.getSuggestion());
            ((ContextDataModel) contextTable.getModel()).setCurrentImplication(i.getImplication());
            justificationText.setText(justification);
            implicationText.setText(String.format("<html>%s</html>", i.getImplication().toString()));
            {
                Map<String, String> desc = i.getImplication().describe(kb);
                String s = "<html><table border=\"1\">";
                s += "<tr><th>Attribute</th><th>Label</th></tr>";
                for (Map.Entry<String, String> e : desc.entrySet()) {
                    s += String.format("<tr><td>%s</td><td><pre>%s</pre></td></tr>", e.getKey(), e.getValue());
                }
                s += "</table></html>";
                implicationText.setToolTipText(s);
            }
            setButtonsEnabled(true);
            featuresTable.setModel(getFeaturesTableModel(i.getFeatures()));
        }
    });
    learningExamplesTable.setModel(classifier.getExamplesTableModel());
    fca = new FCA();
    fca.setContext(context);
    fca.setExpert(mlExpert);
    new SwingWorker() {
        @Override
        protected Object doInBackground() throws Exception {
            fca.reset(forced);
            fca.run();
            return null;
        }

        @Override
        protected void done() {
            try {
                get();
                logger.trace("FINISHED");
                if (script != null) {
                    String name = JOptionPane.showInputDialog(MainWindow.this,
                            "Jeeli chcesz otrzyma punkty z TSiSS, podaj swoje imi, nazwisko i nr indeksu",
                            "TSiSS", JOptionPane.QUESTION_MESSAGE);
                    if (name != null) {
                        logger.trace("NAME: {}", name);
                    }
                    script.submitLog(new File("fca.log"));
                }
                implicationText.setText("Bye-bye");
            } catch (InterruptedException | ExecutionException ex) {
                implicationText.setText(ex.getLocalizedMessage());
                ex.printStackTrace();
            }
        }
    }.execute();
}