/*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you 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 com.github.le11.nls.solr;
import com.github.le11.nls.lucene.TypeScoreMap;
import org.apache.uima.cas.*;
import org.apache.uima.cas.text.AnnotationFS;
import org.apache.uima.cas.text.AnnotationIndex;
import java.util.Collection;
import java.util.HashMap;
import java.util.HashSet;
import java.util.Map;
/**
* @author tommaso
*/
public class NLSQueryAnalyzer {
@SuppressWarnings("unused")
private Float threshold;
private CAS cas;
private TypeScoreMap scoreMap;
private final String[] entitiesFSTypes = new String[]{"org.apache.uima.alchemy.ts.entity.BaseEntity"};
private final String[] entitiesAnnTypes = new String[]{"opennlp.uima.Person", "opennlp.uima.Location", "opennlp.uima.Organization"};
public NLSQueryAnalyzer(CAS cas) {
this.cas = cas;
this.threshold = 0f;
this.scoreMap = new TypeScoreMap();
}
public NLSQueryAnalyzer(CAS cas, Float threshold) {
this.cas = cas;
this.threshold = threshold;
this.scoreMap = new TypeScoreMap();
}
public Boolean isNLSQuery(String qstr) {
return !qstr.contains(":"); // TODO : this check should be much improved
}
public String extractPlaceQuery() {
// TODO implement this
return null;
}
public String[] extractConcepts() {
Collection<String> concepts = new HashSet<String>();
Type conceptsType = cas.getTypeSystem().getType("org.apache.uima.alchemy.ts.concept.ConceptFS");
if (conceptsType != null) {
FSIterator<FeatureStructure> conceptsIterator = cas.getIndexRepository().getAllIndexedFS(conceptsType);
while (conceptsIterator.hasNext()) {
FeatureStructure fs = conceptsIterator.next();
concepts.add(fs.getStringValue(conceptsType.getFeatureByBaseName("text")));
}
}
Type keywordsType = cas.getTypeSystem().getType("org.apache.uima.alchemy.ts.keywords.KeywordFS");
if (keywordsType != null) {
FSIterator<FeatureStructure> keywordsIterator = cas.getIndexRepository().getAllIndexedFS(keywordsType);
while (keywordsIterator.hasNext()) {
FeatureStructure fs = keywordsIterator.next();
concepts.add(fs.getStringValue(keywordsType.getFeatureByBaseName("text")));
}
}
String[] a = new String[concepts.size()];
return concepts.toArray(a);
}
public Map<String, Collection<String>> extractEntities() {
Map<String, Collection<String>> entitiesMap = new HashMap<String, Collection<String>>();
for (String stringType : entitiesFSTypes) {
Type entitiesType = cas.getTypeSystem().getType(stringType);
if (entitiesType != null) {
FSIterator<FeatureStructure> featureStructureFSIterator = cas.getIndexRepository().getAllIndexedFS(entitiesType);
while (featureStructureFSIterator.hasNext()) {
FeatureStructure fs = featureStructureFSIterator.next();
String entityTypeName = fs.getType().getName();
Collection<String> existingTypedEntitiesValues = entitiesMap.get(entityTypeName);
String value = fs.getStringValue(entitiesType.getFeatureByBaseName("text"));
if (existingTypedEntitiesValues != null) {
existingTypedEntitiesValues.add(value);
} else {
existingTypedEntitiesValues = new HashSet<String>();
existingTypedEntitiesValues.add(value);
entitiesMap.put(entityTypeName, existingTypedEntitiesValues);
}
}
}
}
for (String stringType : entitiesAnnTypes) {
Type entitiesType = cas.getTypeSystem().getType(stringType);
AnnotationIndex<AnnotationFS> annotationIndex = cas.getAnnotationIndex(entitiesType);
for (AnnotationFS fs : annotationIndex) {
String entityTypeName = fs.getType().getName();
Collection<String> existingTypedEntitiesValues = entitiesMap.get(entityTypeName);
String value = fs.getCoveredText();
if (existingTypedEntitiesValues != null) {
existingTypedEntitiesValues.add(value);
} else {
existingTypedEntitiesValues = new HashSet<String>();
existingTypedEntitiesValues.add(value);
entitiesMap.put(entityTypeName.substring(entityTypeName.lastIndexOf(".") + 1), existingTypedEntitiesValues);
}
}
}
return entitiesMap;
}
public String expandBoosts() {
Type type = cas.getTypeSystem().getType("opennlp.uima.Token");
FSIterator<AnnotationFS> annotationFSFSIterator = cas.getAnnotationIndex(type).iterator();
StringBuilder boostedQueryBuilder = new StringBuilder();
while (annotationFSFSIterator.hasNext()) {
AnnotationFS a = annotationFSFSIterator.next();
String word = a.getCoveredText();
Feature posTag = type.getFeatureByBaseName("pos");
String stringValue = a.getStringValue(posTag);
Float boost = scoreMap.getScore(stringValue);
boostedQueryBuilder.append(word);
if (boost > 1.0f)
boostedQueryBuilder.append("^").append(boost);
if (annotationFSFSIterator.hasNext())
boostedQueryBuilder.append(" ");
}
return boostedQueryBuilder.toString();
}
}