Source Code Cross Referenced for QualityQueriesFinder.java in  » Net » lucene-connector » org » apache » lucene » benchmark » quality » utils » Java Source Code / Java DocumentationJava Source Code and Java Documentation

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Java Source Code / Java Documentation » Net » lucene connector » org.apache.lucene.benchmark.quality.utils 
Source Cross Referenced  Class Diagram Java Document (Java Doc) 


001:        /**
002:         * Licensed to the Apache Software Foundation (ASF) under one or more
003:         * contributor license agreements.  See the NOTICE file distributed with
004:         * this work for additional information regarding copyright ownership.
005:         * The ASF licenses this file to You under the Apache License, Version 2.0
006:         * (the "License"); you may not use this file except in compliance with
007:         * the License.  You may obtain a copy of the License at
008:         *
009:         *     http://www.apache.org/licenses/LICENSE-2.0
010:         *
011:         * Unless required by applicable law or agreed to in writing, software
012:         * distributed under the License is distributed on an "AS IS" BASIS,
013:         * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
014:         * See the License for the specific language governing permissions and
015:         * limitations under the License.
016:         */package org.apache.lucene.benchmark.quality.utils;
017:
018:        import java.io.File;
019:        import java.io.IOException;
020:
021:        import org.apache.lucene.index.IndexReader;
022:        import org.apache.lucene.index.Term;
023:        import org.apache.lucene.index.TermEnum;
024:        import org.apache.lucene.store.Directory;
025:        import org.apache.lucene.store.FSDirectory;
026:        import org.apache.lucene.util.PriorityQueue;
027:
028:        /**
029:         * Suggest Quality queries based on an index contents.
030:         * Utility class, used for making quality test benchmarks.
031:         */
032:        public class QualityQueriesFinder {
033:
034:            private static final String newline = System
035:                    .getProperty("line.separator");
036:            private Directory dir;
037:
038:            /**
039:             * Constrctor over a directory containing the index.
040:             * @param dir directory containing the index we search for the quality test. 
041:             */
042:            private QualityQueriesFinder(Directory dir) {
043:                this .dir = dir;
044:            }
045:
046:            /**
047:             * @param args {index-dir}
048:             * @throws IOException  if cannot access the index.
049:             */
050:            public static void main(String[] args) throws IOException {
051:                if (args.length < 1) {
052:                    System.err
053:                            .println("Usage: java QualityQueriesFinder <index-dir>");
054:                    System.exit(1);
055:                }
056:                QualityQueriesFinder qqf = new QualityQueriesFinder(FSDirectory
057:                        .getDirectory(new File(args[0])));
058:                String q[] = qqf.bestQueries("body", 20);
059:                for (int i = 0; i < q.length; i++) {
060:                    System.out.println(newline
061:                            + formatQueryAsTrecTopic(i, q[i], null, null));
062:                }
063:            }
064:
065:            private String[] bestQueries(String field, int numQueries)
066:                    throws IOException {
067:                String words[] = bestTerms("body", 4 * numQueries);
068:                int n = words.length;
069:                int m = n / 4;
070:                String res[] = new String[m];
071:                for (int i = 0; i < res.length; i++) {
072:                    res[i] = words[i] + " " + words[m + i] + "  "
073:                            + words[n - 1 - m - i] + " " + words[n - 1 - i];
074:                    //System.out.println("query["+i+"]:  "+res[i]);
075:                }
076:                return res;
077:            }
078:
079:            private static String formatQueryAsTrecTopic(int qnum,
080:                    String title, String description, String narrative) {
081:                return "<top>" + newline + "<num> Number: " + qnum + newline
082:                        + newline + "<title> " + (title == null ? "" : title)
083:                        + newline + newline + "<desc> Description:" + newline
084:                        + (description == null ? "" : description) + newline
085:                        + newline + "<narr> Narrative:" + newline
086:                        + (narrative == null ? "" : narrative) + newline
087:                        + newline + "</top>";
088:            }
089:
090:            private String[] bestTerms(String field, int numTerms)
091:                    throws IOException {
092:                PriorityQueue pq = new TermsDfQueue(numTerms);
093:                IndexReader ir = IndexReader.open(dir);
094:                try {
095:                    int threshold = ir.maxDoc() / 10; // ignore words too common.
096:                    TermEnum terms = ir.terms(new Term(field, ""));
097:                    while (terms.next()) {
098:                        if (!field.equals(terms.term().field())) {
099:                            break;
100:                        }
101:                        int df = terms.docFreq();
102:                        if (df < threshold) {
103:                            String ttxt = terms.term().text();
104:                            pq.insert(new TermDf(ttxt, df));
105:                        }
106:                    }
107:                } finally {
108:                    ir.close();
109:                }
110:                String res[] = new String[pq.size()];
111:                int i = 0;
112:                while (pq.size() > 0) {
113:                    TermDf tdf = (TermDf) pq.pop();
114:                    res[i++] = tdf.word;
115:                    System.out.println(i + ".   word:  " + tdf.df + "   "
116:                            + tdf.word);
117:                }
118:                return res;
119:            }
120:
121:            private static class TermDf {
122:                String word;
123:                int df;
124:
125:                TermDf(String word, int freq) {
126:                    this .word = word;
127:                    this .df = freq;
128:                }
129:            }
130:
131:            private static class TermsDfQueue extends PriorityQueue {
132:                TermsDfQueue(int maxSize) {
133:                    initialize(maxSize);
134:                }
135:
136:                protected boolean lessThan(Object a, Object b) {
137:                    TermDf tf1 = (TermDf) a;
138:                    TermDf tf2 = (TermDf) b;
139:                    return tf1.df < tf2.df;
140:                }
141:            }
142:
143:        }
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