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Add SimpleNearestNeighborSearcher to expose in Python (castorini#1078)
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src/main/java/io/anserini/search/SimpleNearestNeighborSearcher.java
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,101 @@ | ||
| /* | ||
| * Anserini: A Lucene toolkit for replicable information retrieval research | ||
| * | ||
| * Licensed 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. | ||
| */ | ||
| package io.anserini.search; | ||
|
|
||
| import java.io.IOException; | ||
| import java.nio.file.Paths; | ||
| import java.util.ArrayList; | ||
| import java.util.Arrays; | ||
| import java.util.List; | ||
|
|
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| import io.anserini.analysis.AnalyzerUtils; | ||
| import io.anserini.ann.IndexVectors; | ||
| import io.anserini.ann.fw.FakeWordsEncoderAnalyzer; | ||
| import io.anserini.ann.lexlsh.LexicalLshAnalyzer; | ||
| import org.apache.lucene.analysis.Analyzer; | ||
| import org.apache.lucene.document.Document; | ||
| import org.apache.lucene.index.DirectoryReader; | ||
| import org.apache.lucene.index.Term; | ||
| import org.apache.lucene.queries.CommonTermsQuery; | ||
| import org.apache.lucene.search.IndexSearcher; | ||
| import org.apache.lucene.search.ScoreDoc; | ||
| import org.apache.lucene.search.TermQuery; | ||
| import org.apache.lucene.search.TopDocs; | ||
| import org.apache.lucene.search.similarities.ClassicSimilarity; | ||
| import org.apache.lucene.store.Directory; | ||
| import org.apache.lucene.store.FSDirectory; | ||
|
|
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| import static org.apache.lucene.search.BooleanClause.Occur.SHOULD; | ||
|
|
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| public class SimpleNearestNeighborSearcher { | ||
|
|
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| private final Analyzer analyzer; | ||
| private final IndexSearcher searcher; | ||
|
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| public SimpleNearestNeighborSearcher(String path) throws IOException { | ||
| this(path, IndexVectors.FW); | ||
| } | ||
|
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| public SimpleNearestNeighborSearcher(String path, String encoding) throws IOException { | ||
| Directory d = FSDirectory.open(Paths.get(path)); | ||
| DirectoryReader reader = DirectoryReader.open(d); | ||
| searcher = new IndexSearcher(reader); | ||
| if (encoding.equalsIgnoreCase(IndexVectors.LEXLSH)) { | ||
| analyzer = new LexicalLshAnalyzer(); | ||
| } else if (encoding.equalsIgnoreCase(IndexVectors.FW)) { | ||
| analyzer = new FakeWordsEncoderAnalyzer(); | ||
| searcher.setSimilarity(new ClassicSimilarity()); | ||
| } else { | ||
| throw new RuntimeException("unexpected encoding " + encoding); | ||
| } | ||
| } | ||
|
|
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| public Result[][] search(String word, int k) throws IOException { | ||
| List<Result[]> results = new ArrayList<>(); | ||
| TopDocs wordDocs = searcher.search(new TermQuery(new Term(IndexVectors.FIELD_ID, word)), k); | ||
|
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| for (ScoreDoc scoreDoc : wordDocs.scoreDocs) { | ||
| Document doc = searcher.doc(scoreDoc.doc); | ||
| String vector = doc.get(IndexVectors.FIELD_VECTOR); | ||
| CommonTermsQuery simQuery = new CommonTermsQuery(SHOULD, SHOULD, 0); | ||
| List<String> tokens = AnalyzerUtils.analyze(analyzer, vector); | ||
| for (String token : tokens) { | ||
| simQuery.add(new Term(IndexVectors.FIELD_VECTOR, token)); | ||
| } | ||
| TopDocs nearest = searcher.search(simQuery, k); | ||
| Result[] neighbors = new Result[nearest.scoreDocs.length]; | ||
| int i = 0; | ||
| for (ScoreDoc nn : nearest.scoreDocs) { | ||
| Document ndoc = searcher.doc(nn.doc); | ||
| neighbors[i] = new Result(ndoc.get(IndexVectors.FIELD_ID), nn.score); | ||
| i++; | ||
| } | ||
| results.add(neighbors); | ||
| } | ||
| return results.toArray(new Result[0][0]); | ||
| } | ||
|
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| public static class Result { | ||
|
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| public final String id; | ||
| public final float score; | ||
|
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| private Result(String id, float score) { | ||
| this.id = id; | ||
| this.score = score; | ||
| } | ||
| } | ||
| } |
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