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ecological-engine-geospatial-extensions
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Removed marytts-d4science #20135

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Giancarlo Panichi 2021-01-19 16:19:30 +01:00
parent 2feee0196b
commit 0e12b0890d
4 changed files with 2 additions and 114 deletions
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2
CHANGELOG.md
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# Changelog
## [1.5.2] 2021-01-18
## [1.5.2-SNAPSHOT] 2021-01-18
- update gis-interface lower bound range
- replaced repositories defined into the pom with the new nexus url (nexus.d4science.org). update version to 1.5.2-SNAPSHOT

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pom.xml
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</parent>
<groupId>org.gcube.dataanalysis</groupId>
<artifactId>ecological-engine-geospatial-extensions</artifactId>
<version>1.5.2</version>
<version>1.5.2-SNAPSHOT</version>
<name>ecological-engine-geospatial-extensions</name>
<description>ecological-engine-geospatial-extension</description>

56
src/main/java/org/gcube/dataanalysis/geo/algorithms/TimeExtractionTable.java
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package org.gcube.dataanalysis.geo.algorithms;
import java.util.ArrayList;
import java.util.List;
import org.gcube.dataanalysis.ecoengine.datatypes.ColumnType;
import org.gcube.dataanalysis.ecoengine.datatypes.DatabaseType;
import org.gcube.dataanalysis.ecoengine.datatypes.InputTable;
import org.gcube.dataanalysis.ecoengine.datatypes.PrimitiveType;
import org.gcube.dataanalysis.ecoengine.datatypes.StatisticalType;
import org.gcube.dataanalysis.ecoengine.datatypes.enumtypes.PrimitiveTypes;
import org.gcube.dataanalysis.ecoengine.datatypes.enumtypes.TableTemplates;
import org.gcube.dataanalysis.ecoengine.utils.IOHelper;
import org.gcube.dataanalysis.geo.connectors.table.TableMatrixRepresentation;
public class TimeExtractionTable extends TimeExtraction{
@Override
public String getDescription() {
return "An algorithm to extract a time series of values associated to a table containing geospatial information. " +
"The algorithm analyses the time series and automatically searches for hidden periodicities. " +
"It produces one chart of the time series, one table containing the time series values and possibly the spectrogram.";
}
@Override
public List<StatisticalType> getInputParameters() {
List<StatisticalType> inputs = new ArrayList<StatisticalType>();
List<TableTemplates> template= new ArrayList<TableTemplates>();
template.add(TableTemplates.GENERIC);
InputTable table = new InputTable(template,TableMatrixRepresentation.tableNameParameter,"A geospatial table containing at least x,y information","");
inputs.add(table);
ColumnType columnx = new ColumnType(TableMatrixRepresentation.tableNameParameter, TableMatrixRepresentation.xDimensionColumnParameter, "The column containing x (longitude) information", "x", false);
inputs.add(columnx);
ColumnType columny = new ColumnType(TableMatrixRepresentation.tableNameParameter, TableMatrixRepresentation.yDimensionColumnParameter, "The column containing y (latitude) information", "y", false);
inputs.add(columny);
ColumnType columnt = new ColumnType(TableMatrixRepresentation.tableNameParameter, TableMatrixRepresentation.timeDimensionColumnParameter, "The column containing time information", "datetime", false);
inputs.add(columnt);
ColumnType columnvalue = new ColumnType(TableMatrixRepresentation.tableNameParameter, TableMatrixRepresentation.valueDimensionColumnParameter, "A column containing real valued features", "value", false);
inputs.add(columnvalue);
inputs.add(new PrimitiveType(String.class.getName(), null, PrimitiveTypes.STRING, TableMatrixRepresentation.filterParameter, "A filter on one of the columns (e.g. speed=2)", " "));
IOHelper.addStringInput(inputs, TableMatrixRepresentation.zDimensionColumnParameter, "The column containing z (altitude or depth) information (optional)", "z");
List<StatisticalType> previnputs = super.getInputParameters();
previnputs.remove(0);
inputs.addAll(previnputs);
DatabaseType.addDefaultDBPars(inputs);
return inputs;
}
}

56
src/main/java/org/gcube/dataanalysis/geo/algorithms/ZExtractionTable.java
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@ -1,56 +0,0 @@
package org.gcube.dataanalysis.geo.algorithms;
import java.util.ArrayList;
import java.util.List;
import org.gcube.dataanalysis.ecoengine.datatypes.ColumnType;
import org.gcube.dataanalysis.ecoengine.datatypes.DatabaseType;
import org.gcube.dataanalysis.ecoengine.datatypes.InputTable;
import org.gcube.dataanalysis.ecoengine.datatypes.PrimitiveType;
import org.gcube.dataanalysis.ecoengine.datatypes.StatisticalType;
import org.gcube.dataanalysis.ecoengine.datatypes.enumtypes.PrimitiveTypes;
import org.gcube.dataanalysis.ecoengine.datatypes.enumtypes.TableTemplates;
import org.gcube.dataanalysis.ecoengine.utils.IOHelper;
import org.gcube.dataanalysis.geo.connectors.table.TableMatrixRepresentation;
public class ZExtractionTable extends ZExtraction{
@Override
public String getDescription() {
return "An algorithm to extract a time series of values associated to a table containing geospatial information. " +
"The algorithm analyses the time series and automatically searches for hidden periodicities. " +
"It produces one chart of the time series, one table containing the time series values and possibly the spectrogram.";
}
@Override
public List<StatisticalType> getInputParameters() {
List<StatisticalType> inputs = new ArrayList<StatisticalType>();
List<TableTemplates> template= new ArrayList<TableTemplates>();
template.add(TableTemplates.GENERIC);
InputTable table = new InputTable(template,TableMatrixRepresentation.tableNameParameter,"A geospatial table containing at least x,y information","");
inputs.add(table);
ColumnType columnx = new ColumnType(TableMatrixRepresentation.tableNameParameter, TableMatrixRepresentation.xDimensionColumnParameter, "The column containing x (longitude) information", "x", false);
inputs.add(columnx);
ColumnType columny = new ColumnType(TableMatrixRepresentation.tableNameParameter, TableMatrixRepresentation.yDimensionColumnParameter, "The column containing y (latitude) information", "y", false);
inputs.add(columny);
ColumnType columnt = new ColumnType(TableMatrixRepresentation.tableNameParameter, TableMatrixRepresentation.zDimensionColumnParameter, "The column containing z information", "z", false);
inputs.add(columnt);
ColumnType columnvalue = new ColumnType(TableMatrixRepresentation.tableNameParameter, TableMatrixRepresentation.valueDimensionColumnParameter, "A column containing real valued features", "value", false);
inputs.add(columnvalue);
inputs.add(new PrimitiveType(String.class.getName(), null, PrimitiveTypes.STRING, TableMatrixRepresentation.filterParameter, "A filter on one of the columns (e.g. speed=2)", " "));
IOHelper.addStringInput(inputs, TableMatrixRepresentation.timeDimensionColumnParameter, "The column containing time information (optional).", "time");
List<StatisticalType> previnputs = super.getInputParameters();
previnputs.remove(0);
inputs.addAll(previnputs);
DatabaseType.addDefaultDBPars(inputs);
return inputs;
}
}