Examples with Config org.knime.core.node.config.Config used on opensource projects

Example 76 with Config

use of org.knime.core.node.config.Config in project knime-core by knime.

the class SettingsModel method saveEnableStatusAndModelID.

/**
 * Saves this' model id and the current enable status into the specified
 * settings object. It creates a new sub config for that.
 *
 * @param settings the settings object to add the settings to.
 */
private void saveEnableStatusAndModelID(final NodeSettingsWO settings) {
    Config intCfg = settings.addConfig(getConfigName() + CFGKEY_INTERNAL);
    intCfg.addString(CFGKEY_MODELID, getModelTypeID());
    intCfg.addBoolean(CFGKEY_ENABLESTAT, m_enabled);
}

Example 77 with Config

use of org.knime.core.node.config.Config in project knime-core by knime.

the class HistogramColumn method loadHistogramsPrivate.

private static Map<Integer, HistogramNumericModel> loadHistogramsPrivate(final File histogramsGz, final Map<Integer, Map<Integer, Set<RowKey>>> numericKeys, final BinNumberSelectionStrategy strategy, final double[] means) throws IOException, InvalidSettingsException {
    final FileInputStream is = new FileInputStream(histogramsGz);
    final GZIPInputStream inData = new GZIPInputStream(is);
    final ConfigRO config = NodeSettings.loadFromXML(inData);
    Map<Integer, HistogramNumericModel> histograms = new HashMap<Integer, HistogramNumericModel>();
    // .getConfig(HISTOGRAMS);
    ConfigRO hs = config;
    int[] numColumnIndices = config.getIntArray(NUMERIC_COLUMNS);
    for (int colIdx : numColumnIndices) {
        Config h = hs.getConfig(HISTOGRAM + colIdx);
        double min = h.getDouble(MIN), max = h.getDouble(MAX), width = h.getDouble(WIDTH);
        int maxCount = h.getInt(MAX_COUNT);
        int rowCount = h.getInt(ROW_COUNT);
        String colName = h.getString(COL_NAME);
        double[] binMins = h.getDoubleArray(BIN_MINS), binMaxes = h.getDoubleArray(BIN_MAXES);
        int[] binCounts = h.getIntArray(BIN_COUNTS);
        double mean = means[colIdx];
        HistogramNumericModel histogramData = new HistogramNumericModel(min, max, binMins.length, colIdx, colName, min, max, mean);
        for (int i = binMins.length; i-- > 0; ) {
            histogramData.getBins().set(i, histogramData.new NumericBin(binMins[i], binMaxes[i]));
            histogramData.getBins().get(i).setCount(binCounts[i]);
        }
        histogramData.setMaxCount(maxCount);
        histogramData.setRowCount(rowCount);
        assert Math.abs(histogramData.m_width - width) < 1e-9 : "histogram data width: " + histogramData.m_width + " width: " + width;
        histograms.put(colIdx, histogramData);
        numericKeys.put(colIdx, new HashMap<Integer, Set<RowKey>>());
    }
    return histograms;
}

Example 78 with Config

use of org.knime.core.node.config.Config in project knime-core by knime.

the class HistogramColumn method saveNominalHistogramData.

/**
 * @param histograms The nominal histogram models associated to the column indices.
 * @param histogramsFile The output file.
 * @throws IOException File write problem.
 */
public static void saveNominalHistogramData(final Map<Integer, HistogramModel<?>> histograms, final File histogramsFile) throws IOException {
    Config histogramData = new NodeSettings(HISTOGRAMS);
    final FileOutputStream os = new FileOutputStream(histogramsFile);
    final GZIPOutputStream dataOS = new GZIPOutputStream(os);
    List<Integer> colIndices = new ArrayList<Integer>(histograms.keySet());
    Collections.sort(colIndices);
    int[] nominalColumnIndices = new int[colIndices.size()];
    for (int i = colIndices.size(); i-- > 0; ) {
        nominalColumnIndices[i] = colIndices.get(i).intValue();
    }
    histogramData.addIntArray(NOMINAL_COLUMNS, nominalColumnIndices);
    for (Integer colIdx : colIndices) {
        Object object = histograms.get(colIdx);
        if (object instanceof HistogramNominalModel) {
            HistogramNominalModel hd = (HistogramNominalModel) object;
            assert hd.getColIndex() == colIdx.intValue() : "colIdx: " + colIdx + ", but: " + hd.getColIndex();
            Config h = histogramData.addConfig(HISTOGRAM + colIdx);
            h.addInt(COL_INDEX, hd.getColIndex());
            h.addString(COL_NAME, hd.getColName());
            h.addInt(MAX_COUNT, hd.getMaxCount());
            h.addInt(ROW_COUNT, hd.getRowCount());
            int[] counts = new int[hd.getBins().size()];
            String[] values = new String[hd.getBins().size()];
            for (int c = 0; c < hd.getBins().size(); c++) {
                HistogramModel.Bin<DataValue> bin = hd.getBins().get(c);
                if (bin.getDef() instanceof StringCell) {
                    values[c] = ((StringCell) bin.getDef()).getStringValue();
                } else {
                    values[c] = "?";
                }
                counts[c] = bin.getCount();
            }
            h.addStringArray(BIN_VALUES, values);
            h.addIntArray(BIN_COUNTS, counts);
        } else {
            throw new IllegalStateException("Illegal argument: " + colIdx + ": " + object.getClass() + "\n   " + object);
        }
    }
    histogramData.saveToXML(dataOS);
}

Example 79 with Config

use of org.knime.core.node.config.Config in project knime-core by knime.

the class StringToDurationPeriodNodeModel method createStreamableOperator.

/**
 * {@inheritDoc}
 */
@Override
public StreamableOperator createStreamableOperator(final PartitionInfo partitionInfo, final PortObjectSpec[] inSpecs) throws InvalidSettingsException {
    return new StreamableOperator() {

        private SimpleStreamableOperatorInternals m_internals = new SimpleStreamableOperatorInternals();

        /**
         * {@inheritDoc}
         */
        @Override
        public void runIntermediate(final PortInput[] inputs, final ExecutionContext exec) throws Exception {
            final RowInput rowInput = (RowInput) inputs[0];
            final DataRow row = rowInput.poll();
            if (row != null) {
                final DataTableSpec inSpec = rowInput.getDataTableSpec();
                final int[] includeIndexes = Arrays.stream(m_colSelect.applyTo(inSpec).getIncludes()).mapToInt(s -> inSpec.findColumnIndex(s)).toArray();
                final Config config = m_internals.getConfig();
                // detect types
                detectTypes(new OneRowAdditionalRowInput(rowInput, row));
                for (int i = 0; i < m_detectedTypes.length; i++) {
                    config.addDataType("detected_type" + i, m_detectedTypes[i]);
                }
                // write detected types and column names into config
                if (m_isReplaceOrAppend.getStringValue().equals(OPTION_REPLACE)) {
                    for (int i = 0; i < rowInput.getDataTableSpec().getNumColumns(); i++) {
                        final int searchIdx = Arrays.binarySearch(includeIndexes, i);
                        config.addString("colname" + i, inSpec.getColumnNames()[i]);
                        if (searchIdx < 0) {
                            config.addDataType("type" + i, inSpec.getColumnSpec(i).getType());
                        } else {
                            config.addDataType("type" + i, m_detectedTypes[searchIdx] != null ? m_detectedTypes[searchIdx] : null);
                        }
                    }
                    config.addInt("sizeRow", rowInput.getDataTableSpec().getNumColumns());
                } else {
                    for (int i = 0; i < inSpec.getNumColumns(); i++) {
                        config.addString("colname" + i, inSpec.getColumnNames()[i]);
                        config.addDataType("type" + i, inSpec.getColumnSpec(i).getType());
                    }
                    for (int i = 0; i < m_detectedTypes.length; i++) {
                        config.addString("colname" + (i + inSpec.getNumColumns()), new UniqueNameGenerator(inSpec).newName(inSpec.getColumnSpec(includeIndexes[i]).getName() + m_suffix.getStringValue()));
                        config.addDataType("type" + (i + inSpec.getNumColumns()), m_detectedTypes[i]);
                    }
                    config.addInt("sizeRow", inSpec.getNumColumns() + m_detectedTypes.length);
                }
                config.addBoolean("needsIteration", false);
            } else {
                m_internals.getConfig().addInt("sizeRow", 0);
            }
            rowInput.close();
        }

        /**
         * {@inheritDoc}
         */
        @Override
        public StreamableOperatorInternals saveInternals() {
            return m_internals;
        }

        /**
         * {@inheritDoc}
         */
        @Override
        public void loadInternals(final StreamableOperatorInternals internals) {
            m_internals = (SimpleStreamableOperatorInternals) internals;
        }

        @Override
        public void runFinal(final PortInput[] inputs, final PortOutput[] outputs, final ExecutionContext exec) throws Exception {
            final RowInput in = (RowInput) inputs[0];
            final RowOutput out = (RowOutput) outputs[0];
            final DataTableSpec inSpec = in.getDataTableSpec();
            final int[] includeIndexes = Arrays.stream(m_colSelect.applyTo(inSpec).getIncludes()).mapToInt(s -> inSpec.findColumnIndex(s)).toArray();
            // read detected types from config
            final DataType[] detectedTypes = new DataType[includeIndexes.length];
            final Config config = m_internals.getConfig();
            for (int i = 0; i < includeIndexes.length; i++) {
                detectedTypes[i] = config.getDataType("detected_type" + i, null);
            }
            // compute every row
            DataRow row;
            while ((row = in.poll()) != null) {
                exec.checkCanceled();
                DataCell[] datacells = new DataCell[includeIndexes.length];
                for (int i = 0; i < includeIndexes.length; i++) {
                    if (m_isReplaceOrAppend.getStringValue().equals(OPTION_REPLACE)) {
                        final StringToDurationPeriodCellFactory cellFac = new StringToDurationPeriodCellFactory(new DataColumnSpecCreator(inSpec.getColumnNames()[includeIndexes[i]], detectedTypes[i]).createSpec(), includeIndexes[i]);
                        datacells[i] = cellFac.getCells(row)[0];
                    } else {
                        final DataColumnSpec dataColSpec = new UniqueNameGenerator(inSpec).newColumn(inSpec.getColumnNames()[includeIndexes[i]] + m_suffix.getStringValue(), detectedTypes[i]);
                        final StringToDurationPeriodCellFactory cellFac = new StringToDurationPeriodCellFactory(dataColSpec, includeIndexes[i]);
                        datacells[i] = cellFac.getCells(row)[0];
                    }
                }
                if (m_isReplaceOrAppend.getStringValue().equals(OPTION_REPLACE)) {
                    out.push(new ReplacedColumnsDataRow(row, datacells, includeIndexes));
                } else {
                    out.push(new AppendedColumnRow(row, datacells));
                }
            }
            in.close();
            out.close();
        }
    };
}

Example 80 with Config

use of org.knime.core.node.config.Config in project knime-core by knime.

the class StringToDurationPeriodNodeModel method createMergeOperator.

@Override
public MergeOperator createMergeOperator() {
    return new MergeOperator() {

        @Override
        public StreamableOperatorInternals mergeIntermediate(final StreamableOperatorInternals[] operators) {
            final SimpleStreamableOperatorInternals internals = new SimpleStreamableOperatorInternals();
            final Config config = internals.getConfig();
            for (StreamableOperatorInternals operator : operators) {
                final Config configToMerge = ((SimpleStreamableOperatorInternals) operator).getConfig();
                final int sizeRow = configToMerge.getInt("sizeRow", -1);
                config.addInt("sizeRow", sizeRow);
                for (int i = 0; i < sizeRow; i++) {
                    if (!config.containsKey("type" + i) && configToMerge.getDataType("type" + i, null) != null) {
                        config.addDataType("type" + i, configToMerge.getDataType("type" + i, null));
                        config.addString("colname" + i, configToMerge.getString("colname" + i, null));
                    }
                    if (!config.containsKey("detected_type" + i) && configToMerge.getDataType("detected_type" + i, null) != null) {
                        config.addDataType("detected_type" + i, configToMerge.getDataType("detected_type" + i, null));
                    }
                }
            }
            // if a column's type could not be detected, guess it to be a PeriodCell
            final Config configToMerge = ((SimpleStreamableOperatorInternals) operators[0]).getConfig();
            for (int i = 0; i < configToMerge.getInt("sizeRow", -1); i++) {
                if (!config.containsKey("type" + i)) {
                    config.addDataType("type" + i, PeriodCellFactory.TYPE);
                    config.addString("colname" + i, configToMerge.getString("colname" + i, null));
                }
                if (!config.containsKey("detected_type" + i)) {
                    config.addDataType("detected_type" + i, PeriodCellFactory.TYPE);
                }
            }
            return internals;
        }

        @Override
        public StreamableOperatorInternals mergeFinal(final StreamableOperatorInternals[] operators) {
            return null;
        }
    };
}