use of org.knime.core.node.InvalidSettingsException in project knime-core by knime.
the class RuleSetToTable method execute.
/**
* Performs the conversion.
*
* @param exec An {@link ExecutionContext}.
* @param pmmlPo The input {@link PMMLPortObject}.
* @return The created {@link BufferedDataTable}.
* @throws CanceledExecutionException Execition was cancelled.
* @throws InvalidSettingsException No or more than one RuleSet model is in the PMML input.
*/
public BufferedDataTable execute(final ExecutionContext exec, final PMMLPortObject pmmlPo) throws CanceledExecutionException, InvalidSettingsException {
// TODO should the rule selection method be an output flow variable?
if (pmmlPo.getPMMLValue().getModels(PMMLModelType.RuleSetModel).size() != 1) {
throw new InvalidSettingsException("Only a single RuleSet model is supported.");
}
PMMLRuleTranslator ruleTranslator = new PMMLRuleTranslator();
pmmlPo.initializeModelTranslator(ruleTranslator);
List<Rule> rules = ruleTranslator.getRules();
final DataTableSpec confSpec = configure(pmmlPo.getSpec());
final List<String> scoreValues = new ArrayList<>();
final DataTableSpec properSpec = confSpec != null ? confSpec : properSpec(rules, scoreValues);
BufferedDataContainer container = exec.createDataContainer(properSpec);
List<DataColumnSpec> targetCols = pmmlPo.getSpec().getTargetCols();
DataType outcomeType = targetCols.get(0).getType();
long idx = 0L;
int rulesSize = rules.size();
Map<String, DataType> types = new LinkedHashMap<>();
for (DataColumnSpec col : pmmlPo.getSpec().getLearningCols()) {
types.put(col.getName(), col.getType());
}
for (Rule rule : rules) {
exec.checkCanceled();
exec.setProgress(1.0 * idx++ / rulesSize);
container.addRowToTable(new DefaultRow(RowKey.createRowKey(idx), createRow(rule, outcomeType, types, scoreValues)));
}
container.close();
return container.getTable();
}
use of org.knime.core.node.InvalidSettingsException in project knime-core by knime.
the class RuleEngine2PortsNodeModel method autoGuessRuleColumnName.
/**
* Tries to autoguess the rule column name. In case it fails because of ambiguity it returns a warning message,
* otherwise it fails with {@link InvalidSettingsException}.
*
* @param inSpecs The input specs.
* @param settings The {@link RuleEngine2PortsSimpleSettings} for the node model.
* @return The warning message (or {@code null} if everything is fine).
* @throws InvalidSettingsException Cannot find String-valued column for rules.
*/
static String autoGuessRuleColumnName(final PortObjectSpec[] inSpecs, final RuleEngine2PortsSimpleSettings settings) throws InvalidSettingsException {
// check spec with selected column
String ruleColumn = settings.getRuleColumn();
DataTableSpec ruleSpec = (DataTableSpec) inSpecs[RULE_PORT];
if (ruleSpec == null) {
throw new InvalidSettingsException("Rule table specification is not available.");
}
DataColumnSpec columnSpec = ruleSpec.getColumnSpec(ruleColumn);
boolean isValid = columnSpec != null && columnSpec.getType().isCompatible(StringValue.class);
CheckUtils.checkSetting(ruleColumn == null || isValid, "Rule column \"" + ruleColumn + "\" not found or incompatible");
if (ruleColumn == null) {
// auto-guessing
assert !isValid : "No class column set but valid configuration";
// get the first useful one starting at the end of the table
for (int i = ruleSpec.getNumColumns(); i-- > 0; ) {
if (ruleSpec.getColumnSpec(i).getType().isCompatible(StringValue.class)) {
settings.setRuleColumn(ruleSpec.getColumnSpec(i).getName());
return "Guessing target column: \"" + settings.getRuleColumn() + "\".";
}
}
CheckUtils.checkSetting(false, "Rules table contains no String column for rules.");
}
return null;
}
use of org.knime.core.node.InvalidSettingsException in project knime-core by knime.
the class RuleEngine2PortsSimpleNodeDialog method updateErrorsAndWarnings.
/**
* Updates the errors table, the warning text area and the computed outcome type.
*/
protected void updateErrorsAndWarnings() {
m_errorsModel.setRowCount(0);
hideErrors();
m_warnings.setText("");
m_outcomeType.setIcon(DataType.getMissingCell().getType().getIcon());
// Checking data from second input port
final int ruleIdx = getRules() == null ? -1 : getRules().getSpec().findColumnIndex(m_ruleColumn.getSelectedColumn());
final int outcomeIdx = getRules() == null ? -1 : getRules().getSpec().findColumnIndex(m_outcomeColumn.getSelectedColumn());
if (getRules() != null && isSpecAvailable() && ruleIdx >= 0) {
RuleFactory factory = ruleFactory();
long lineNo = 0;
boolean wasCatchAll = false;
final boolean firstHit = isFirstHit();
List<Rule> rules = new ArrayList<>();
for (DataRow dataRow : getRules()) {
++lineNo;
DataCell ruleCell = dataRow.getCell(ruleIdx);
if (ruleCell.isMissing()) {
// String cellValue = "?";
// if (ruleCell instanceof MissingValue) {
// cellValue += " (" + ((MissingValue)ruleCell).getError() + ")";
// }
m_errorsModel.addRow(new Object[] { dataRow.getKey(), ruleCell, "Missing cell" });
showErrors();
}
if (ruleCell instanceof StringValue) {
StringValue ruleSV = (StringValue) ruleCell;
String ruleText = ruleSV.getStringValue().replaceAll("[\r\n]+", " ");
if (outcomeIdx >= 0) {
DataCell outcome = dataRow.getCell(outcomeIdx);
String outcomeString;
try {
outcomeString = m_settings.asStringFailForMissing(outcome);
} catch (InvalidSettingsException e) {
outcomeString = "?";
}
if (m_ruleType.onlyBooleanOutcome()) {
if ("\"TRUE\"".equalsIgnoreCase(outcomeString)) {
outcomeString = "TRUE";
} else if ("\"FALSE\"".equalsIgnoreCase(outcomeString)) {
outcomeString = "FALSE";
}
}
ruleText += " => " + outcomeString;
}
try {
Rule rule = factory.parse(ruleText, getDataSpec(), getAvailableFlowVariables());
rules.add(rule);
String origWarning = !m_warnings.getText().isEmpty() ? m_warnings.getText() + "\n" : "";
Condition cond = rule.getCondition();
if (cond.isEnabled()) {
// not comment
if (cond.isCatchAll() && !wasCatchAll && firstHit && lineNo < getRules().size()) {
m_warnings.setText(origWarning + "No rules will match after line " + lineNo + " (" + dataRow.getKey() + "). Because of rule: " + ruleText);
}
wasCatchAll |= cond.isCatchAll() && firstHit;
if (!wasCatchAll && cond.isConstantFalse()) {
m_warnings.setText(origWarning + "The rule in line " + lineNo + " (" + dataRow.getKey() + ") will never match: " + ruleText);
}
}
} catch (ParseException e) {
m_errorsModel.addRow(new Object[] { dataRow.getKey(), ruleText, e.getMessage() });
showErrors();
}
} else {
// Missings were handled previously
if (!ruleCell.isMissing()) {
m_errorsModel.addRow(new Object[] { dataRow.getKey(), ruleCell.toString(), "Wrong type: " + ruleCell.getType() });
}
}
}
final DataColumnSpec outcomeSpec = m_outcomeColumn.getSelectedColumnAsSpec();
DataType dataType = RuleEngineNodeModel.computeOutputType(rules, outcomeSpec == null ? StringCell.TYPE : outcomeSpec.getType(), m_ruleType, getSettings().isDisallowLongOutputForCompatibility());
if (dataType != null) {
m_outcomeType.setIcon(dataType.getIcon());
}
}
}
use of org.knime.core.node.InvalidSettingsException in project knime-core by knime.
the class RuleEngineFilter2PortsNodeModel method createStreamableOperator.
/**
* {@inheritDoc}
*/
@Override
public StreamableOperator createStreamableOperator(final PartitionInfo partitionInfo, final PortObjectSpec[] inSpecs) throws InvalidSettingsException {
return new StreamableOperator() {
private SimpleStreamableOperatorInternals m_internals;
/**
* {@inheritDoc}
*/
@Override
public void loadInternals(final StreamableOperatorInternals internals) {
m_internals = (SimpleStreamableOperatorInternals) internals;
}
/**
* {@inheritDoc}
*/
@Override
public void runIntermediate(final PortInput[] inputs, final ExecutionContext exec) throws Exception {
// count number of rows
long count = 0;
RowInput rowInput = (RowInput) inputs[DATA_PORT];
while (rowInput.poll() != null) {
count++;
}
m_internals.getConfig().addLong(CFG_ROW_COUNT, count);
}
/**
* {@inheritDoc}
*/
@Override
public StreamableOperatorInternals saveInternals() {
return m_internals;
}
@Override
public void runFinal(final PortInput[] inputs, final PortOutput[] outputs, final ExecutionContext exec) throws Exception {
long rowCount = -1L;
if (m_internals.getConfig().containsKey(CFG_ROW_COUNT)) {
rowCount = m_internals.getConfig().getLong(CFG_ROW_COUNT);
}
m_rulesList.clear();
final PortInput rulePort = inputs[RULE_PORT];
if (rulePort instanceof PortObjectInput) {
PortObjectInput poRule = (PortObjectInput) rulePort;
m_rulesList.addAll(RuleEngineVariable2PortsNodeModel.rules((BufferedDataTable) poRule.getPortObject(), m_settings, RuleNodeSettings.RuleFilter));
} else if (rulePort instanceof RowInput) {
RowInput riRule = (RowInput) rulePort;
m_rulesList.addAll(RuleEngineVariable2PortsNodeModel.rules(riRule, m_settings, RuleNodeSettings.RuleFilter));
}
final DataTableSpec spec = (DataTableSpec) inSpecs[DATA_PORT];
try {
parseRules(spec, RuleNodeSettings.RuleSplitter);
} catch (final ParseException e) {
throw new InvalidSettingsException(e);
}
final RowInput inputPartitions = (RowInput) inputs[DATA_PORT];
final List<Rule> rules = parseRules(inputPartitions.getDataTableSpec(), RuleNodeSettings.RuleFilter);
final RowOutput first = (RowOutput) outputs[0];
final int nrOutPorts = getNrOutPorts();
final RowOutput second = nrOutPorts > 1 ? (RowOutput) outputs[1] : new RowOutput() {
@Override
public void push(final DataRow row) throws InterruptedException {
// do nothing
}
@Override
public void close() throws InterruptedException {
// do nothing
}
};
final RowOutput[] containers = new RowOutput[] { first, second };
final int matchIndex = m_includeOnMatch ? 0 : 1;
final int otherIndex = 1 - matchIndex;
try {
final MutableLong rowIdx = new MutableLong(0L);
final long rows = rowCount;
final VariableProvider provider = new VariableProvider() {
@Override
public Object readVariable(final String name, final Class<?> type) {
return RuleEngineFilter2PortsNodeModel.this.readVariable(name, type);
}
@Override
@Deprecated
public int getRowCount() {
throw new UnsupportedOperationException();
}
@Override
public long getRowCountLong() {
return rows;
}
@Override
@Deprecated
public int getRowIndex() {
throw new UnsupportedOperationException();
}
@Override
public long getRowIndexLong() {
return rowIdx.longValue();
}
};
DataRow row;
while ((row = inputPartitions.poll()) != null) {
rowIdx.increment();
if (rows > 0) {
exec.setProgress(rowIdx.longValue() / (double) rows, () -> "Adding row " + rowIdx.longValue() + " of " + rows);
} else {
exec.setMessage(() -> "Adding row " + rowIdx.longValue() + " of " + rows);
}
exec.checkCanceled();
boolean wasMatch = false;
for (Rule r : rules) {
if (r.getCondition().matches(row, provider).getOutcome() == MatchState.matchedAndStop) {
// r.getSideEffect().perform(row, provider);
DataValue value = r.getOutcome().getComputedResult(row, provider);
if (value instanceof BooleanValue) {
final BooleanValue bv = (BooleanValue) value;
containers[bv.getBooleanValue() ? matchIndex : otherIndex].push(row);
} else {
containers[matchIndex].push(row);
}
wasMatch = true;
break;
}
}
if (!wasMatch) {
containers[otherIndex].push(row);
}
}
} finally {
try {
second.close();
} finally {
first.close();
}
}
}
};
}
use of org.knime.core.node.InvalidSettingsException in project knime-core by knime.
the class MovingAverageNodeModel method configure.
/**
* {@inheritDoc}
*/
@Override
protected DataTableSpec[] configure(final DataTableSpec[] inSpecs) throws InvalidSettingsException {
DataTableSpec inSpec = inSpecs[0];
// define column name on which to apply MA
if ((m_columnNames.getIncludeList().size() == 0) && (m_columnNames.getExcludeList().size() == 0)) {
// auto-configure
List<String> autoConfiguredInclList = new ArrayList<String>();
for (DataColumnSpec colSpec : inSpec) {
if (colSpec.getType().isCompatible(DoubleValue.class)) {
autoConfiguredInclList.add(colSpec.getName());
}
}
m_columnNames.setIncludeList(autoConfiguredInclList);
setWarningMessage("Auto-configure: selected all double columns!");
}
if (m_columnNames.getIncludeList().isEmpty()) {
setWarningMessage("No double columns selected: input will be same as output!");
}
// check for the existence of the selected columns
for (String colName : m_columnNames.getIncludeList()) {
if (!inSpecs[0].containsName(colName)) {
throw new InvalidSettingsException("Column \"" + colName + "\" not found in input data!");
}
}
// define moving average window length
int winLength = m_winLength.getIntValue();
if (winLength == -1) {
throw new InvalidSettingsException("Window length is not selected.");
}
// define weight function
String kindOfMAModelString;
try {
kindOfMAModelString = m_kindOfMAModel.getStringValue();
} catch (IllegalArgumentException e) {
throw new InvalidSettingsException(e.getMessage(), e);
}
if (kindOfMAModelString == null) {
throw new InvalidSettingsException("No weight function selected.");
} else {
// create one MA-compute engine per column (overkill, I know
// but much easier to reference later on in our DataCellFactory)
MA_METHODS method = MA_METHODS.getPolicy4Label(kindOfMAModelString);
if (MA_METHODS.getCenteredMethods().contains(method) && winLength % 2 == 0) {
throw new InvalidSettingsException("For centered methods, the window size has to be uneven");
}
m_mas = new MovingAverage[inSpecs[0].getNumColumns()];
for (int i = 0; i < inSpecs[0].getNumColumns(); i++) {
m_mas[i] = method.getMAObject(winLength);
}
}
ColumnRearranger c = createColRearranger(inSpecs[0]);
return new DataTableSpec[] { c.createSpec() };
}
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