/* * Carrot2 project. * * Copyright (C) 2002-2016, Dawid Weiss, Stanisław Osiński. * All rights reserved. * * Refer to the full license file "carrot2.LICENSE" * in the root folder of the repository checkout or at: * http://www.carrot2.org/carrot2.LICENSE */ package org.carrot2.text.preprocessing; import java.io.IOException; import java.io.StringReader; import java.util.ArrayList; import java.util.Arrays; import java.util.Collection; import java.util.Iterator; import java.util.List; import org.apache.commons.lang.StringUtils; import org.carrot2.core.Document; import org.carrot2.core.ProcessingException; import org.carrot2.core.attribute.Init; import org.carrot2.text.analysis.ITokenizer; import org.carrot2.text.preprocessing.PreprocessingContext.AllFields; import org.carrot2.text.preprocessing.PreprocessingContext.AllTokens; import org.carrot2.text.util.MutableCharArray; import org.carrot2.util.CharArrayUtils; import org.carrot2.util.ExceptionUtils; import org.carrot2.util.attribute.Attribute; import org.carrot2.util.attribute.AttributeLevel; import org.carrot2.util.attribute.Bindable; import org.carrot2.util.attribute.DefaultGroups; import org.carrot2.util.attribute.Group; import org.carrot2.util.attribute.Input; import org.carrot2.util.attribute.Label; import org.carrot2.util.attribute.Level; import com.carrotsearch.hppc.ByteArrayList; import com.carrotsearch.hppc.IntArrayList; import com.carrotsearch.hppc.ShortArrayList; import org.carrot2.shaded.guava.common.collect.Lists; /** * Performs tokenization of documents. * <p> * This class saves the following results to the {@link PreprocessingContext}: * <ul> * <li>{@link AllTokens#image}</li> * <li>{@link AllTokens#documentIndex}</li> * <li>{@link AllTokens#fieldIndex}</li> * <li>{@link AllTokens#type}</li> * </ul> */ @Bindable(prefix = "Tokenizer") public final class Tokenizer { /** * Textual fields of documents that should be tokenized and parsed for clustering. */ @Init @Input @Attribute @Label("Document fields") @Level(AttributeLevel.ADVANCED) @Group(DefaultGroups.PREPROCESSING) public Collection<String> documentFields = Arrays.asList(new String [] { Document.TITLE, Document.SUMMARY }); /** * Token images. */ private ArrayList<char []> images; /** * An array of token types. * * @see ITokenizer */ private ShortArrayList tokenTypes; /** * An array of document indexes. */ private IntArrayList documentIndices; /** * An array of field indexes. * * @see AllFields */ private ByteArrayList fieldIndices; /** * Performs tokenization and saves the results to the <code>context</code>. */ public void tokenize(PreprocessingContext context) { // Documents to tokenize final List<Document> documents = context.documents; // Fields to tokenize final String [] fieldNames = documentFields.toArray(new String [documentFields.size()]); if (fieldNames.length > 8) { throw new ProcessingException("Maximum number of tokenized fields is 8."); } // Prepare arrays images = Lists.newArrayList(); tokenTypes = new ShortArrayList(); documentIndices = new IntArrayList(); fieldIndices = new ByteArrayList(); final Iterator<Document> docIterator = documents.iterator(); int documentIndex = 0; final ITokenizer ts = context.language.getTokenizer(); final MutableCharArray wrapper = new MutableCharArray(CharArrayUtils.EMPTY_ARRAY); while (docIterator.hasNext()) { final Document doc = docIterator.next(); boolean hadTokens = false; for (int i = 0; i < fieldNames.length; i++) { final byte fieldIndex = (byte) i; final String fieldName = fieldNames[i]; final String fieldValue = doc.getField(fieldName); if (!StringUtils.isEmpty(fieldValue)) { try { short tokenType; ts.reset(new StringReader(fieldValue)); if ((tokenType = ts.nextToken()) != ITokenizer.TT_EOF) { if (hadTokens) addFieldSeparator(documentIndex); do { ts.setTermBuffer(wrapper); add(documentIndex, fieldIndex, context.intern(wrapper), tokenType); } while ( (tokenType = ts.nextToken()) != ITokenizer.TT_EOF); hadTokens = true; } } catch (IOException e) { // Not possible (StringReader above)? throw ExceptionUtils.wrapAsRuntimeException(e); } } } if (docIterator.hasNext()) { addDocumentSeparator(); } documentIndex++; } addTerminator(); // Save results in the PreprocessingContext context.allTokens.documentIndex = documentIndices.toArray(); context.allTokens.fieldIndex = fieldIndices.toArray(); context.allTokens.image = images.toArray(new char [images.size()] []); context.allTokens.type = tokenTypes.toArray(); context.allFields.name = fieldNames; // Clean up images = null; fieldIndices = null; tokenTypes = null; documentIndices = null; } /** * Adds a special terminating token required at the very end of all documents. */ void addTerminator() { add(-1, (byte) -1, null, ITokenizer.TF_TERMINATOR); } /** * Adds a document separator to the lists. */ void addDocumentSeparator() { add(-1, (byte) -1, null, ITokenizer.TF_SEPARATOR_DOCUMENT); } /** * Adds a field separator to the lists. */ void addFieldSeparator(int documentIndex) { add(documentIndex, (byte) -1, null, ITokenizer.TF_SEPARATOR_FIELD); } /** * Adds a sentence separator to the lists. */ void addSentenceSeparator(int documentIndex, byte fieldIndex) { add(documentIndex, fieldIndex, null, ITokenizer.TF_SEPARATOR_FIELD); } /** * Adds custom token code to the sequence. May be used to add separator constants. */ void add(int documentIndex, byte fieldIndex, char [] image, short tokenTypeCode) { documentIndices.add(documentIndex); fieldIndices.add(fieldIndex); images.add(image); tokenTypes.add(tokenTypeCode); } }