57 lines
3.0 KiB
Java
57 lines
3.0 KiB
Java
package org.gcube.dataanalysis.geo.algorithms;
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import java.util.ArrayList;
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import java.util.List;
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import org.gcube.dataanalysis.ecoengine.datatypes.ColumnType;
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import org.gcube.dataanalysis.ecoengine.datatypes.DatabaseType;
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import org.gcube.dataanalysis.ecoengine.datatypes.InputTable;
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import org.gcube.dataanalysis.ecoengine.datatypes.PrimitiveType;
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import org.gcube.dataanalysis.ecoengine.datatypes.StatisticalType;
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import org.gcube.dataanalysis.ecoengine.datatypes.enumtypes.PrimitiveTypes;
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import org.gcube.dataanalysis.ecoengine.datatypes.enumtypes.TableTemplates;
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import org.gcube.dataanalysis.ecoengine.utils.IOHelper;
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import org.gcube.dataanalysis.geo.connectors.table.TableMatrixRepresentation;
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public class ZExtractionTable extends ZExtraction{
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@Override
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public String getDescription() {
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return "An algorithm to extract a time series of values associated to a table containing geospatial information. " +
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"The algorithm analyses the time series and automatically searches for hidden periodicities. " +
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"It produces one chart of the time series, one table containing the time series values and possibly the spectrogram.";
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}
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@Override
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public List<StatisticalType> getInputParameters() {
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List<StatisticalType> inputs = new ArrayList<StatisticalType>();
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List<TableTemplates> template= new ArrayList<TableTemplates>();
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template.add(TableTemplates.GENERIC);
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InputTable table = new InputTable(template,TableMatrixRepresentation.tableNameParameter,"A geospatial table containing at least x,y information","");
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inputs.add(table);
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ColumnType columnx = new ColumnType(TableMatrixRepresentation.tableNameParameter, TableMatrixRepresentation.xDimensionColumnParameter, "The column containing x (longitude) information", "x", false);
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inputs.add(columnx);
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ColumnType columny = new ColumnType(TableMatrixRepresentation.tableNameParameter, TableMatrixRepresentation.yDimensionColumnParameter, "The column containing y (latitude) information", "y", false);
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inputs.add(columny);
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ColumnType columnt = new ColumnType(TableMatrixRepresentation.tableNameParameter, TableMatrixRepresentation.zDimensionColumnParameter, "The column containing z information", "z", false);
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inputs.add(columnt);
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ColumnType columnvalue = new ColumnType(TableMatrixRepresentation.tableNameParameter, TableMatrixRepresentation.valueDimensionColumnParameter, "A column containing real valued features", "value", false);
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inputs.add(columnvalue);
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inputs.add(new PrimitiveType(String.class.getName(), null, PrimitiveTypes.STRING, TableMatrixRepresentation.filterParameter, "A filter on one of the columns (e.g. speed=2)", " "));
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IOHelper.addStringInput(inputs, TableMatrixRepresentation.timeDimensionColumnParameter, "The column containing time information (optional).", "time");
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List<StatisticalType> previnputs = super.getInputParameters();
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previnputs.remove(0);
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inputs.addAll(previnputs);
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DatabaseType.addDefaultDBPars(inputs);
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return inputs;
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}
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}
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