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/*******************************************************************************
* Copyright 2015-2016 - CNRS (Centre National de Recherche Scientifique)
*
* 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 fr.univnantes.termsuite.model;
import java.util.List;
import java.util.Optional;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import com.google.common.base.Joiner;
import com.google.common.base.Preconditions;
import com.google.common.collect.Lists;
import fr.univnantes.termsuite.index.Terminology;
import fr.univnantes.termsuite.utils.TermSuiteUtils;
public class TermBuilder {
private static final Logger LOGGER = LoggerFactory.getLogger(TermBuilder.class);
private Optional groupingKey = Optional.empty();
private java.util.Optional pilot = java.util.Optional.empty();
private java.util.Optional documentFrequency = java.util.Optional.empty();
private Optional spottingRule = Optional.empty();
private Optional rank = Optional.empty();
private List termWords = Lists.newArrayList();
private Optional frequency = Optional.empty();
private Optional generalFrequencyNorm = Optional.empty();
private Optional frequencyNorm = Optional.empty();
private Optional specificity = Optional.empty();
private boolean forceManualGroupingKey = false;
private Optional contextVector = Optional.empty();
private Terminology termino;
public TermBuilder() {
}
private TermBuilder(Terminology termino) {
this.termino = termino;
}
public Term create() {
String expectedGroupingKey = TermSuiteUtils.getGroupingKey(this.termWords);
if(this.groupingKey.isPresent()) {
if(!forceManualGroupingKey && !groupingKey.get().equals(expectedGroupingKey))
LOGGER.warn("Given grouping key ({}) does not match expected grouping key: {}",
this.groupingKey.get(),
expectedGroupingKey);
} else
this.groupingKey = Optional.of(expectedGroupingKey);
Term term = new Term(groupingKey.get(), termWords);
if(spottingRule.isPresent())
term.setProperty(TermProperty.SPOTTING_RULE,spottingRule.get());
if(generalFrequencyNorm.isPresent())
term.setProperty(TermProperty.GENERAL_FREQUENCY_NORM,generalFrequencyNorm.get());
if(frequencyNorm.isPresent())
term.setProperty(TermProperty.FREQUENCY_NORM,frequencyNorm.get());
if(pilot.isPresent())
term.setProperty(TermProperty.PILOT,pilot.get());
if(documentFrequency.isPresent())
term.setProperty(TermProperty.DOCUMENT_FREQUENCY,documentFrequency.get());
if(specificity.isPresent())
term.setProperty(TermProperty.SPECIFICITY,specificity.get());
if(rank.isPresent())
term.setProperty(TermProperty.RANK,rank.get());
if(contextVector.isPresent())
term.setContext(contextVector.get());
/*
* Sets the pattern
*/
List labels = Lists.newArrayListWithCapacity(termWords.size());
for(TermWord w:termWords)
labels.add(w.getSyntacticLabel());
String pattern = Joiner.on(' ').join(labels);
term.setProperty(TermProperty.PATTERN, pattern);
/*
* 2 - frequency must be set after occurrences because it overwrites
* the exiting term frequency incremented by occurrences adding.
*/
if(frequency.isPresent()) {
term.setProperty(TermProperty.FREQUENCY, frequency.get());
}
// else
// term.setFrequency(occurrences.size());
return term;
}
public TermBuilder setGroupingKey(String groupingKey) {
return setGroupingKey(groupingKey, false);
}
public TermBuilder setGroupingKey(String groupingKey, boolean forceManualGroupingKey) {
if(termino != null)
Preconditions.checkArgument(
!termino.getTerms().containsKey(groupingKey),
"Term %s already exists",
groupingKey);
this.groupingKey = Optional.of(groupingKey);
this.forceManualGroupingKey = forceManualGroupingKey;
return this;
}
public TermBuilder setSpottingRule(String spottingRule) {
this.spottingRule = Optional.of(spottingRule);
return this;
}
public TermBuilder addWord(Word word, String syntacticLabel, boolean isSWT) {
TermWord e = new TermWord(word, syntacticLabel, isSWT);
this.termWords.add(e);
return this;
}
public TermBuilder addWord(Word word, String syntacticLabel) {
return addWord(word, syntacticLabel, false);
}
public TermBuilder setFrequency(int freq) {
this.frequency = Optional.of(freq);
return this;
}
public TermBuilder setFrequencyNorm(double frequencyNorm) {
this.frequencyNorm = Optional.of(frequencyNorm);
return this;
}
public TermBuilder setGeneralFrequencyNorm(double generalFrequencyNorm) {
this.generalFrequencyNorm = Optional.of(generalFrequencyNorm);
return this;
}
public void setContextVector(ContextVector vector) {
this.contextVector = Optional.of(vector);
}
public static TermBuilder start(Terminology terminology) {
return new TermBuilder(terminology);
}
public TermBuilder setRank(int rank) {
this.rank = Optional.of(rank);
return this;
}
public TermBuilder setSpecificity(double specificity) {
this.specificity = Optional.of(specificity);
return this;
}
public void addWord(String lemma, String stem, String label, boolean isSWT) {
Word word;
if(!this.termino.getWords().containsKey(lemma))
word = WordBuilder.start(termino).setLemma(lemma).setStem(stem).create();
else
word = this.termino.getWords().get(lemma);
TermWord w = new TermWord(word, label, isSWT);
this.termWords.add(w);
}
// private List