/*
* The JCS Conflation Suite (JCS) is a library of Java classes that
* can be used to build automated or semi-automated conflation solutions.
*
* Copyright (C) 2003 Vivid Solutions
*
* This program is free software; you can redistribute it and/or
* modify it under the terms of the GNU General Public License
* as published by the Free Software Foundation; either version 2
* of the License, or (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program; if not, write to the Free Software
* Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA.
*
* For more information, contact:
*
* Vivid Solutions
* Suite #1A
* 2328 Government Street
* Victoria BC V8T 5G5
* Canada
*
* (250)385-6040
* www.vividsolutions.com
*/
package com.vividsolutions.jcs.conflate.polygonmatch;
import com.vividsolutions.jump.feature.Feature;
import com.vividsolutions.jump.feature.FeatureCollection;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.Iterator;
/**
* Composes several FeatureMatchers into one. Candidate features are whittled
* down by applying each FeatureMatcher.
* <P>
* Note: Only the last FeatureMatcher's scores are preserved; the other scores
* are lost. However, this behaviour should be acceptable for most situations
* Typically you use the Chained Matcher to do some initial filtering before
* the "real" matching. The scores from this initial filtering are usually
* ignored (they're usually just 1 or 0, as in the case of WindowFilter).
*/
public class ChainMatcher implements FeatureMatcher {
/**
* Creates a ChainMatcher composed of the given matchers.
* @param matchers the matchers to link together
*/
public ChainMatcher(FeatureMatcher[] matchers) {
this.matchers.addAll(Arrays.asList(matchers));
}
private ArrayList matchers = new ArrayList();
/**
* Applies the FeatureMatchers, in sequence, to the list of candidates.
* @param target the feature to match
* @param candidates the features to search for matches
* @return the candidates surviving all the FeatureMatchers. The scores are
* those returned by the last FeatureMatcher.
*/
@Override
public Matches match(Feature target, FeatureCollection candidates) {
Matches survivors = new Matches(
candidates.getFeatureSchema(), candidates.getFeatures());
for (Iterator i = matchers.iterator(); i.hasNext(); ) {
FeatureMatcher matcher = (FeatureMatcher) i.next();
survivors = matcher.match(target, survivors);
}
return survivors;
}
}