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GraphAware Framework Module for adding NLP capabilities to Neo4j.
/*
* Copyright (c) 2013-2018 GraphAware
*
* This file is part of the GraphAware Framework.
*
* GraphAware Framework 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 3 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, see
* .
*/
package com.graphaware.nlp.ml.word2vec;
import com.graphaware.common.log.LoggerFactory;
import com.graphaware.nlp.util.TypeConverter;
import org.apache.commons.io.FileUtils;
import org.apache.commons.io.LineIterator;
import org.apache.lucene.analysis.Analyzer;
import org.apache.lucene.analysis.core.KeywordAnalyzer;
import org.apache.lucene.document.Document;
import org.apache.lucene.document.Field;
import org.apache.lucene.document.StoredField;
import org.apache.lucene.document.StringField;
import org.apache.lucene.index.IndexWriter;
import org.apache.lucene.index.IndexWriterConfig;
import org.apache.lucene.index.IndexWriterConfig.OpenMode;
import org.apache.lucene.store.Directory;
import org.apache.lucene.store.FSDirectory;
import org.neo4j.logging.Log;
import java.io.File;
import java.io.IOException;
import java.nio.file.Paths;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;
public class Word2VecIndexCreator {
private static final Log LOG = LoggerFactory.getLogger(Word2VecIndexLookup.class);
public static final String VECTOR_FIELD = "values";
public static final String WORD_FIELD = "word";
public static final String NEAREST_NEIGHBORS_FIELD = "nn";
public static boolean loadFromFile(String sourceFile, String indexPath, boolean create, String language) {
try {
if (!create) {
File f = new File(indexPath);
if (f.exists()) {
return true;
}
}
Directory dir = FSDirectory.open(Paths.get(indexPath));
Analyzer analyzer = new KeywordAnalyzer();
IndexWriterConfig iwc = new IndexWriterConfig(analyzer);
if (create) {
iwc.setOpenMode(OpenMode.CREATE);
} else {
iwc.setOpenMode(OpenMode.CREATE_OR_APPEND);
}
iwc.setRAMBufferSizeMB(256.0);
try (IndexWriter writer = new IndexWriter(dir, iwc)) {
LOG.info("Starting indexing in " + indexPath);
indexWord2Vec(writer, sourceFile, language);
writer.forceMerge(1);
}
} catch (IOException ex) {
LOG.error("Error loading Word2Vec: " + sourceFile, ex);
return false;
}
return true;
}
private static void indexWord2Vec(IndexWriter writer, String sourceFile, String language) throws IOException {
LineIterator it = FileUtils.lineIterator(new File(sourceFile), "UTF-8");
try {
while (it.hasNext()) {
String line = it.nextLine();
String[] split = line.split(" ");
if (split != null && split.length > 2) {
Document doc = new Document();
String word = split[0];
String wordToUse = split[0];
if (word.startsWith("/c/") && !word.startsWith("/c/" + language + "/")) {
continue;
}
if (word.startsWith("/c/" + language)) {
wordToUse = wordToUse.replace("/c/" + language + "/", "").trim();
}
if (!wordToUse.matches("[\\p{L}]+")) {
continue;
}
doc.add(new StringField(WORD_FIELD, wordToUse, Field.Store.YES));
float[] vector = new float[split.length - 1];
for (int i = 0; i < split.length - 1; i++) {
vector[i] = Float.parseFloat(split[i + 1]);
}
doc.add(new StoredField(VECTOR_FIELD, TypeConverter.toByteArray(vector)));
writer.addDocument(doc);
}
}
} finally {
it.close();
}
}
public static List inspectDirectoryAndLoad(String path, String destPath, String language) {
LOG.info("Inspect directories and LOAD");
List modelNames = new ArrayList<>();
if (path == null || path.length() == 0) {
LOG.error("Scanning for word2Vec files: wrong path specified.");
return modelNames;
}
File folder = new File(path);
File[] listOfFiles = folder.listFiles();
if (listOfFiles == null) {
LOG.warn("No files in " + path + " for loading word2Vec");
return modelNames;
}
LOG.info("path = " + path);
if (!path.endsWith("/")) {
path = path + "/";
}
for (File file : listOfFiles) {
if (!file.isFile()) {
continue;
}
String fileName = file.getName();
if (isIgnorableFile(fileName)) {
continue;
}
String[] sp = fileName.split("-");
String modelName = sp[0];
LOG.info("Custom models: Found file " + fileName + ". Assigned name: " + modelName);
if (loadFromFile((path + fileName), (destPath + modelName), false, language)) {
modelNames.add(modelName);
}
}
return modelNames;
}
private static boolean isIgnorableFile(String filename) {
List ignores = Arrays.asList(".DS_Store");
if (!filename.contains(".txt")) {
return true;
} else {
return ignores.contains(filename);
}
}
}
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