package org.apache.solr.handler.clustering.carrot2;
/**
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You under the Apache License, Version 2.0
* (the "License"); you may not use this file except in compliance with
* the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
import java.util.List;
import org.carrot2.core.Cluster;
import org.carrot2.core.IClusteringAlgorithm;
import org.carrot2.core.LanguageCode;
import org.carrot2.core.ProcessingComponentBase;
import org.carrot2.core.ProcessingException;
import org.carrot2.core.attribute.AttributeNames;
import org.carrot2.core.attribute.Processing;
import org.carrot2.text.linguistic.DefaultLexicalDataFactory;
import org.carrot2.text.linguistic.ILexicalData;
import org.carrot2.text.linguistic.ILexicalDataFactory;
import org.carrot2.text.preprocessing.pipeline.BasicPreprocessingPipeline;
import org.carrot2.text.util.MutableCharArray;
import org.carrot2.util.attribute.Attribute;
import org.carrot2.util.attribute.Bindable;
import org.carrot2.util.attribute.Input;
import org.carrot2.util.attribute.Output;
import com.google.common.collect.Lists;
/**
* A mock implementation of Carrot2 clustering algorithm for testing whether the
* customized lexical resource lookup works correctly. This algorithm ignores
* the input documents and instead for each word from {@link #wordsToCheck}, it
* outputs a cluster labeled with the word only if the word is neither a stop
* word nor a stop label.
*/
@Bindable(prefix = "LexicalResourcesCheckClusteringAlgorithm")
public class LexicalResourcesCheckClusteringAlgorithm extends
ProcessingComponentBase implements IClusteringAlgorithm {
@Output
@Processing
@Attribute(key = AttributeNames.CLUSTERS)
private List<Cluster> clusters;
@Input
@Processing
@Attribute
private String wordsToCheck;
private BasicPreprocessingPipeline preprocessing = new BasicPreprocessingPipeline();
@Override
public void process() throws ProcessingException {
clusters = Lists.newArrayList();
if (wordsToCheck == null) {
return;
}
// Test with Maltese so that the English clustering performed in other tests
// is not affected by the test stopwords and stoplabels.
ILexicalData lexicalData = preprocessing.lexicalDataFactory
.getLexicalData(LanguageCode.MALTESE);
for (String word : wordsToCheck.split(",")) {
if (!lexicalData.isCommonWord(new MutableCharArray(word))
&& !lexicalData.isStopLabel(word)) {
clusters.add(new Cluster(word));
}
}
}
}