mirror of https://github.com/apache/lucene.git
SOLR-3470: Custom Carrot2 tokenizer and stemmer factories overwritten by defaults: fixed
git-svn-id: https://svn.apache.org/repos/asf/lucene/dev/trunk@1340686 13f79535-47bb-0310-9956-ffa450edef68
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@ -62,6 +62,7 @@ import org.carrot2.core.LanguageCode;
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import org.carrot2.core.attribute.AttributeNames;
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import org.carrot2.text.linguistic.DefaultLexicalDataFactoryDescriptor;
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import org.carrot2.text.preprocessing.pipeline.BasicPreprocessingPipelineDescriptor;
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import org.carrot2.text.preprocessing.pipeline.BasicPreprocessingPipelineDescriptor.AttributeBuilder;
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import org.carrot2.util.resource.ClassLoaderLocator;
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import org.carrot2.util.resource.IResource;
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import org.carrot2.util.resource.IResourceLocator;
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@ -255,10 +256,14 @@ public class CarrotClusteringEngine extends SearchClusteringEngine {
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// Additionally, we set a custom lexical resource factory for Carrot2 that
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// will use both Carrot2 default stop words as well as stop words from
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// the StopFilter defined on the field.
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BasicPreprocessingPipelineDescriptor.attributeBuilder(initAttributes)
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.stemmerFactory(LuceneCarrot2StemmerFactory.class)
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.tokenizerFactory(LuceneCarrot2TokenizerFactory.class)
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.lexicalDataFactory(SolrStopwordsCarrot2LexicalDataFactory.class);
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final AttributeBuilder attributeBuilder = BasicPreprocessingPipelineDescriptor.attributeBuilder(initAttributes);
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attributeBuilder.lexicalDataFactory(SolrStopwordsCarrot2LexicalDataFactory.class);
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if (!initAttributes.containsKey(BasicPreprocessingPipelineDescriptor.Keys.TOKENIZER_FACTORY)) {
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attributeBuilder.tokenizerFactory(LuceneCarrot2TokenizerFactory.class);
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}
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if (!initAttributes.containsKey(BasicPreprocessingPipelineDescriptor.Keys.STEMMER_FACTORY)) {
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attributeBuilder.stemmerFactory(LuceneCarrot2StemmerFactory.class);
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}
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// Pass the schema to SolrStopwordsCarrot2LexicalDataFactory.
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initAttributes.put("solrIndexSchema", core.getSchema());
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@ -339,6 +339,16 @@
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<str name="carrot.algorithm">org.apache.solr.handler.clustering.carrot2.LexicalResourcesCheckClusteringAlgorithm</str>
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<str name="carrot.lexicalResourcesDir">clustering/custom</str>
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</lst>
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<lst name="engine">
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<str name="name">custom-duplicating-tokenizer</str>
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<str name="carrot.algorithm">org.apache.solr.handler.clustering.carrot2.EchoTokensClusteringAlgorithm</str>
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<str name="PreprocessingPipeline.tokenizerFactory">org.apache.solr.handler.clustering.carrot2.DuplicatingTokenizerFactory</str>
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</lst>
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<lst name="engine">
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<str name="name">custom-duplicating-stemmer</str>
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<str name="carrot.algorithm">org.apache.solr.handler.clustering.carrot2.EchoStemsClusteringAlgorithm</str>
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<str name="PreprocessingPipeline.stemmerFactory">org.apache.solr.handler.clustering.carrot2.DuplicatingStemmerFactory</str>
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</lst>
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</searchComponent>
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<searchComponent class="org.apache.solr.handler.clustering.ClusteringComponent" name="doc-clustering">
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@ -352,6 +352,34 @@ public class CarrotClusteringEngineTest extends AbstractClusteringTestCase {
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assertEquals("List field", "[first, second]", labels.get(4));
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}
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@Test
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public void customTokenizer() throws Exception {
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final ModifiableSolrParams params = new ModifiableSolrParams();
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params.add(CarrotParams.TITLE_FIELD_NAME, "title");
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params.add(CarrotParams.SNIPPET_FIELD_NAME, "snippet");
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final List<String> labels = getLabels(checkEngine(
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getClusteringEngine("custom-duplicating-tokenizer"), 1, 16, new TermQuery(new Term("title",
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"field")), params).get(0));
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// The custom test tokenizer duplicates each token's text
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assertTrue("First token", labels.get(0).contains("TitleTitle"));
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}
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@Test
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public void customStemmer() throws Exception {
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final ModifiableSolrParams params = new ModifiableSolrParams();
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params.add(CarrotParams.TITLE_FIELD_NAME, "title");
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params.add(CarrotParams.SNIPPET_FIELD_NAME, "snippet");
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final List<String> labels = getLabels(checkEngine(
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getClusteringEngine("custom-duplicating-stemmer"), 1, 12, new TermQuery(new Term("title",
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"field")), params).get(0));
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// The custom test stemmer duplicates and lowercases each token's text
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assertTrue("First token", labels.get(0).contains("titletitle"));
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}
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private CarrotClusteringEngine getClusteringEngine(String engineName) {
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ClusteringComponent comp = (ClusteringComponent) h.getCore()
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.getSearchComponent("clustering");
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@ -0,0 +1,34 @@
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package org.apache.solr.handler.clustering.carrot2;
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/**
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* Licensed to the Apache Software Foundation (ASF) under one or more
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* contributor license agreements. See the NOTICE file distributed with
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* this work for additional information regarding copyright ownership.
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* The ASF licenses this file to You under the Apache License, Version 2.0
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* (the "License"); you may not use this file except in compliance with
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* the License. You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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import org.carrot2.core.LanguageCode;
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import org.carrot2.text.linguistic.IStemmer;
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import org.carrot2.text.linguistic.IStemmerFactory;
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public class DuplicatingStemmerFactory implements IStemmerFactory {
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@Override
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public IStemmer getStemmer(LanguageCode language) {
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return new IStemmer() {
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@Override
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public CharSequence stem(CharSequence word) {
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return word.toString() + word.toString();
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}
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};
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}
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}
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@ -0,0 +1,52 @@
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package org.apache.solr.handler.clustering.carrot2;
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/**
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* Licensed to the Apache Software Foundation (ASF) under one or more
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* contributor license agreements. See the NOTICE file distributed with
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* this work for additional information regarding copyright ownership.
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* The ASF licenses this file to You under the Apache License, Version 2.0
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* (the "License"); you may not use this file except in compliance with
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* the License. You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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import java.io.IOException;
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import java.io.Reader;
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import org.carrot2.core.LanguageCode;
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import org.carrot2.text.analysis.ExtendedWhitespaceTokenizer;
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import org.carrot2.text.analysis.ITokenizer;
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import org.carrot2.text.linguistic.ITokenizerFactory;
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import org.carrot2.text.util.MutableCharArray;
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public class DuplicatingTokenizerFactory implements ITokenizerFactory {
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@Override
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public ITokenizer getTokenizer(LanguageCode language) {
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return new ITokenizer() {
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private final ExtendedWhitespaceTokenizer delegate = new ExtendedWhitespaceTokenizer();
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@Override
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public void setTermBuffer(MutableCharArray buffer) {
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delegate.setTermBuffer(buffer);
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buffer.reset(buffer.toString() + buffer.toString());
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}
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@Override
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public void reset(Reader input) throws IOException {
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delegate.reset(input);
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}
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@Override
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public short nextToken() throws IOException {
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return delegate.nextToken();
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}
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};
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}
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}
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@ -0,0 +1,75 @@
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package org.apache.solr.handler.clustering.carrot2;
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/**
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* Licensed to the Apache Software Foundation (ASF) under one or more
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* contributor license agreements. See the NOTICE file distributed with
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* this work for additional information regarding copyright ownership.
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* The ASF licenses this file to You under the Apache License, Version 2.0
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* (the "License"); you may not use this file except in compliance with
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* the License. You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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import java.util.List;
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import org.carrot2.core.Cluster;
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import org.carrot2.core.Document;
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import org.carrot2.core.IClusteringAlgorithm;
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import org.carrot2.core.LanguageCode;
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import org.carrot2.core.ProcessingComponentBase;
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import org.carrot2.core.ProcessingException;
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import org.carrot2.core.attribute.AttributeNames;
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import org.carrot2.core.attribute.Processing;
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import org.carrot2.text.preprocessing.PreprocessingContext;
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import org.carrot2.text.preprocessing.PreprocessingContext.AllStems;
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import org.carrot2.text.preprocessing.PreprocessingContext.AllTokens;
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import org.carrot2.text.preprocessing.PreprocessingContext.AllWords;
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import org.carrot2.text.preprocessing.pipeline.BasicPreprocessingPipeline;
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import org.carrot2.util.attribute.Attribute;
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import org.carrot2.util.attribute.Bindable;
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import org.carrot2.util.attribute.Input;
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import org.carrot2.util.attribute.Output;
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import com.google.common.collect.Lists;
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/**
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* A mock Carrot2 clustering algorithm that outputs stem of each token of each
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* document as a separate cluster. Useful only in tests.
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*/
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@Bindable(prefix = "EchoTokensClusteringAlgorithm")
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public class EchoStemsClusteringAlgorithm extends ProcessingComponentBase
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implements IClusteringAlgorithm {
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@Input
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@Processing
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@Attribute(key = AttributeNames.DOCUMENTS)
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private List<Document> documents;
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@Output
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@Processing
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@Attribute(key = AttributeNames.CLUSTERS)
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private List<Cluster> clusters;
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BasicPreprocessingPipeline preprocessing = new BasicPreprocessingPipeline();
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@Override
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public void process() throws ProcessingException {
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final PreprocessingContext preprocessingContext = preprocessing.preprocess(
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documents, "", LanguageCode.ENGLISH);
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final AllTokens allTokens = preprocessingContext.allTokens;
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final AllWords allWords = preprocessingContext.allWords;
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final AllStems allStems = preprocessingContext.allStems;
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clusters = Lists.newArrayListWithCapacity(allTokens.image.length);
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for (int i = 0; i < allTokens.image.length; i++) {
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if (allTokens.wordIndex[i] >= 0) {
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clusters.add(new Cluster(new String(
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allStems.image[allWords.stemIndex[allTokens.wordIndex[i]]])));
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}
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}
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}
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}
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@ -0,0 +1,69 @@
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package org.apache.solr.handler.clustering.carrot2;
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/**
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* Licensed to the Apache Software Foundation (ASF) under one or more
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* contributor license agreements. See the NOTICE file distributed with
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* this work for additional information regarding copyright ownership.
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* The ASF licenses this file to You under the Apache License, Version 2.0
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* (the "License"); you may not use this file except in compliance with
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* the License. You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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import java.util.List;
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import org.carrot2.core.Cluster;
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import org.carrot2.core.Document;
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import org.carrot2.core.IClusteringAlgorithm;
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import org.carrot2.core.LanguageCode;
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import org.carrot2.core.ProcessingComponentBase;
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import org.carrot2.core.ProcessingException;
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import org.carrot2.core.attribute.AttributeNames;
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import org.carrot2.core.attribute.Processing;
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import org.carrot2.text.preprocessing.PreprocessingContext;
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import org.carrot2.text.preprocessing.pipeline.BasicPreprocessingPipeline;
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import org.carrot2.util.attribute.Attribute;
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import org.carrot2.util.attribute.Bindable;
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import org.carrot2.util.attribute.Input;
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import org.carrot2.util.attribute.Output;
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import com.google.common.collect.Lists;
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/**
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* A mock Carrot2 clustering algorithm that outputs each token of each document
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* as a separate cluster. Useful only in tests.
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*/
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@Bindable(prefix = "EchoTokensClusteringAlgorithm")
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public class EchoTokensClusteringAlgorithm extends ProcessingComponentBase
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implements IClusteringAlgorithm {
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@Input
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@Processing
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@Attribute(key = AttributeNames.DOCUMENTS)
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private List<Document> documents;
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@Output
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@Processing
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@Attribute(key = AttributeNames.CLUSTERS)
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private List<Cluster> clusters;
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BasicPreprocessingPipeline preprocessing = new BasicPreprocessingPipeline();
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@Override
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public void process() throws ProcessingException {
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final PreprocessingContext preprocessingContext = preprocessing.preprocess(
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documents, "", LanguageCode.ENGLISH);
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clusters = Lists
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.newArrayListWithCapacity(preprocessingContext.allTokens.image.length);
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for (char[] token : preprocessingContext.allTokens.image) {
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if (token != null) {
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clusters.add(new Cluster(new String(token)));
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}
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}
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}
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}
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