svn-gvsig-desktop / trunk / libraries / libGeocoding / src-test / org / gvsig / data / vectorial / filter / testLevenshteinFilter.java @ 22684
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/* gvSIG. Geographic Information System of the Valencian Government
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*
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* Copyright (C) 2007-2008 Infrastructures and Transports Department
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* of the Valencian Government (CIT)
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*
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* This program is free software; you can redistribute it and/or
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* modify it under the terms of the GNU General Public License
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* as published by the Free Software Foundation; either version 2
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* of the License, or (at your option) any later version.
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*
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* This program is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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* GNU General Public License for more details.
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*
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* You should have received a copy of the GNU General Public License
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* along with this program; if not, write to the Free Software
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* Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston,
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* MA 02110-1301, USA.
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*
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*/
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/*
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* AUTHORS (In addition to CIT):
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* 2008 Prodevelop S.L main development
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*/
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package org.gvsig.data.vectorial.filter; |
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import java.io.File; |
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import java.util.Iterator; |
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import java.util.List; |
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import junit.framework.TestCase; |
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import org.apache.log4j.Logger; |
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import org.apache.log4j.PropertyConfigurator; |
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import org.gvsig.data.CloseException; |
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import org.gvsig.data.DataCollection; |
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import org.gvsig.data.DataManager; |
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import org.gvsig.data.DataStoreParameters; |
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import org.gvsig.data.InitializeException; |
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import org.gvsig.data.OpenException; |
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import org.gvsig.data.ReadException; |
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import org.gvsig.data.datastores.vectorial.file.dbf.DBFFeature; |
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import org.gvsig.data.datastores.vectorial.file.dbf.DBFStore; |
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import org.gvsig.data.datastores.vectorial.file.dbf.DBFStoreParameters; |
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import org.gvsig.data.datastores.vectorial.file.dbf.Register; |
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import org.gvsig.data.vectorial.AttributeDescriptor; |
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import org.gvsig.data.vectorial.DefaultFeatureType; |
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import org.gvsig.data.vectorial.Feature; |
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import org.gvsig.data.vectorial.FeatureCollection; |
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import org.gvsig.data.vectorial.FeatureType; |
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import org.opengis.filter.Filter; |
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import org.opengis.filter.FilterFactory2; |
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import org.opengis.filter.expression.Expression; |
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import org.opengis.filter.sort.SortBy; |
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/**
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* @author jsanz
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*
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*
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* @author <a href="mailto:jsanz@prodevelop.es"> Jorge Gaspar Sanz Salinas</a>
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* @author <a href="mailto:vsanjaime@prodevelop.es"> Vicente Sanjaime Calvet</a>
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*
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*/
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public class testLevenshteinFilter extends TestCase { |
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private static final float THRESHOLD = 0.78f; |
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static Logger log = null; |
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static String TEST_DBF = "test-data/AL.dbf"; |
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static String SEARCH_FIELD = "ASCIINAME"; |
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static String SEARCH_TERM = "Okshtunit"; |
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DBFStore store; |
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public testLevenshteinFilter() {
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super();
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} |
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public testLevenshteinFilter(String name) { |
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super(name);
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// TODO Auto-generated constructor stub
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} |
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/**
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* @throws java.lang.Exception
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*/
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protected void setUp() throws Exception { |
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if (log == null) { |
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// Configurar el log4j
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PropertyConfigurator.configure("log4j.properties");
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log = Logger.getLogger(testLevenshteinFilter.class);
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log.info("Test initialized");
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} |
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Register.selfRegister(); |
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DataManager manager = DataManager.getManager(); |
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DBFStoreParameters parameters = null;
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parameters = (DBFStoreParameters) manager |
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.createDataStoreParameters(DBFStore.DATASTORE_NAME); |
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parameters.setFile(new File(TEST_DBF)); |
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try {
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store = (DBFStore) manager |
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.createDataStore((DataStoreParameters) parameters); |
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} catch (InitializeException e) {
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// TODO Auto-generated catch block
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e.printStackTrace(); |
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} |
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} |
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/**
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* @throws java.lang.Exception
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*/
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protected void tearDown() throws Exception { |
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} |
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@SuppressWarnings("unchecked") |
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public void testIterate() throws ReadException { |
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log.info("-----------testIterate-----------");
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long t1 = System.currentTimeMillis(); |
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DataCollection data = store.getDataCollection(); |
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log.info("Get data in " + (System.currentTimeMillis() - t1) + " msecs"); |
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Iterator<DBFFeature> it = data.iterator();
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DBFFeature dbfFeature; |
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t1 = System.currentTimeMillis();
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while (it.hasNext()) {
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dbfFeature = it.next(); |
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dbfFeature.get(SEARCH_FIELD); |
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} |
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log.info("Iterate data in " + (System.currentTimeMillis() - t1) |
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+ " msecs");
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log.info("-----------testIterate-----------");
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} |
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public void testGetFeatureTypes() { |
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log.info("-----------testGetFeatureTypes-----------");
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List<FeatureType> types = store.getFeatureTypes();
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assertEquals(1, types.size());
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DefaultFeatureType ftype = (DefaultFeatureType) types.get(0);
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log.info("Type with " + ftype.size() + " attributes"); |
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Object att = ftype.get(SEARCH_FIELD);
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// for (int i=0;i<ftype.size();i++){
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// log.info(((AttributeDescriptor) ftype.get(i)).getName());
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// }
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assertNotNull(att); |
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assertTrue(att instanceof AttributeDescriptor);
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AttributeDescriptor ad = (AttributeDescriptor) att; |
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assertEquals(AttributeDescriptor.TYPE_STRING, ad.getDataType()); |
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log.info("-----------testGetFeatureTypes-----------");
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} |
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public void testEqualsFilter() { |
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log.info("-----------testEqualsFilter-----------");
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// long t1 = System.currentTimeMillis();
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FilterFactory2 fact = new DistanceFilterFactory2Impl();
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Expression exp1 = fact.property(SEARCH_FIELD);
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Expression exp2 = fact.literal(SEARCH_TERM);
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Filter filter = fact.equals(exp1, exp2);
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int results = testshp(filter, null); |
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assertEquals(0, results);
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log.info("-----------testEqualsFilter-----------");
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} |
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public void testLikeFilter() { |
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log.info("-----------testLikeFilter-----------");
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// long t1 = System.currentTimeMillis();
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FilterFactory2 fact = new DistanceFilterFactory2Impl();
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Expression exp1 = fact.property(SEARCH_FIELD);
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Filter filter = fact.like(exp1, "%" + SEARCH_TERM + "%"); |
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int results = testshp(filter, null); |
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assertEquals(2, results);
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log.info("-----------testLikeFilter-----------");
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} |
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public void testTextDistanceFilter() { |
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log.info("-----------testTextDistanceFilter-----------");
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// long t1 = System.currentTimeMillis();
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DistanceFilterFactory2Impl fact = new DistanceFilterFactory2Impl();
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Expression exp1 = fact.property(SEARCH_FIELD);
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Filter filter = fact.distance(exp1, SEARCH_TERM, THRESHOLD);
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// Filter filter = fact.equals(exp1, exp2);
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int results = testshp(filter, null); |
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assertEquals(4, results);
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log.info("-----------testTextDistanceFilter-----------");
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} |
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/**
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* Convenience method to test the filter
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*
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* @param filter
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* @param order
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* @return
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*/
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private int testshp(Filter filter, SortBy[] order) { |
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try {
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store.open(); |
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} catch (OpenException e2) {
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// TODO Auto-generated catch block
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e2.printStackTrace(); |
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} |
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FeatureType ft = store.getDefaultFeatureType(); |
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FeatureCollection featureCollection = null;
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try {
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long t1 = System.currentTimeMillis(); |
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featureCollection = (FeatureCollection) store.getDataCollection(ft, |
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filter, order); |
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log.info("Search retrieved in " + (System.currentTimeMillis() - t1) |
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+ " msecs");
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log.info(featureCollection.size() + " results");
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} catch (ReadException e1) {
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// TODO Auto-generated catch block
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e1.printStackTrace(); |
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} |
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for (Object obj : featureCollection) { |
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if (obj instanceof Feature) { |
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Feature feat = (Feature) obj; |
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log.info(SEARCH_FIELD + " : " + feat.get(SEARCH_FIELD) + "(" |
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+ feat.get("GENAMEID") + ")"); |
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} |
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} |
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int numFeat = featureCollection.size();
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featureCollection.dispose(); |
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try {
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store.close(); |
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store.dispose(); |
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} catch (CloseException e) {
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// TODO Auto-generated catch block
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e.printStackTrace(); |
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} |
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return numFeat;
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} |
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} |