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/*
* 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 opennlp.tools.namefind;
import java.io.IOException;
import java.util.Collections;
import opennlp.tools.ml.model.AbstractModel;
import opennlp.tools.ml.model.Event;
import opennlp.tools.ml.model.Sequence;
import opennlp.tools.ml.model.SequenceStream;
import opennlp.tools.util.ObjectStream;
import opennlp.tools.util.SequenceCodec;
import opennlp.tools.util.featuregen.AdaptiveFeatureGenerator;
/**
* A {@link SequenceStream} implementation encapsulating {@link NameSample samples}.
*/
public class NameSampleSequenceStream implements SequenceStream {
private final NameContextGenerator pcg;
private final boolean useOutcomes;
private final ObjectStream psi;
private final SequenceCodec seqCodec;
/**
* Initializes a {@link NameSampleSequenceStream} with given {@code psi} samples.
*
* @param psi The data stream of {@link NameSample samples}.
*/
public NameSampleSequenceStream(ObjectStream psi) {
this(psi, new DefaultNameContextGenerator((AdaptiveFeatureGenerator) null), true);
}
/**
* Initializes a {@link NameSampleSequenceStream} with given {@code psi} samples
* and an {@link AdaptiveFeatureGenerator feature generator}.
*
* @param psi The data stream of {@link NameSample samples}.
* @param featureGen The {@link AdaptiveFeatureGenerator feature generator} to use.
*/
public NameSampleSequenceStream(ObjectStream psi, AdaptiveFeatureGenerator featureGen) {
this(psi, new DefaultNameContextGenerator(featureGen), true);
}
/**
* Initializes a {@link NameSampleSequenceStream} with given {@code psi} samples
* and an {@link AdaptiveFeatureGenerator feature generator}.
*
* @param psi The data stream of {@link NameSample samples}.
* @param featureGen The {@link AdaptiveFeatureGenerator feature generator} to use.
* @param useOutcomes Whether to use outcomes or not.
*/
public NameSampleSequenceStream(ObjectStream psi,
AdaptiveFeatureGenerator featureGen, boolean useOutcomes) {
this(psi, new DefaultNameContextGenerator(featureGen), useOutcomes);
}
/**
* Initializes a {@link NameSampleSequenceStream} with given {@code psi} samples
* and an {@link AdaptiveFeatureGenerator feature generator}.
*
* @param psi The data stream of {@link NameSample samples}.
* @param pcg The {@link NameContextGenerator context generator} to use.
*/
public NameSampleSequenceStream(ObjectStream psi, NameContextGenerator pcg) {
this(psi, pcg, true);
}
/**
* Initializes a {@link NameSampleSequenceStream} with given {@code psi} samples
* and an {@link AdaptiveFeatureGenerator feature generator}.
*
* @param psi The data stream of {@link NameSample samples}.
* @param pcg The {@link NameContextGenerator context generator} to use.
* @param useOutcomes Whether to use outcomes or not.
*/
public NameSampleSequenceStream(ObjectStream psi, NameContextGenerator pcg,
boolean useOutcomes) {
this(psi, pcg, useOutcomes, new BioCodec());
}
/**
* Initializes a {@link NameSampleSequenceStream} with given {@code psi} samples
* and an {@link AdaptiveFeatureGenerator feature generator}.
*
* @param psi The data stream of {@link NameSample samples}.
* @param pcg The {@link NameContextGenerator context generator} to use.
* @param useOutcomes Whether to use outcomes or not.
* @param seqCodec The {@link SequenceCodec} to use.
*/
public NameSampleSequenceStream(ObjectStream psi, NameContextGenerator pcg, boolean useOutcomes,
SequenceCodec seqCodec) {
this.psi = psi;
this.useOutcomes = useOutcomes;
this.pcg = pcg;
this.seqCodec = seqCodec;
}
@Override
public Event[] updateContext(Sequence sequence, AbstractModel model) {
TokenNameFinder tagger = new NameFinderME(new TokenNameFinderModel(
"x-unspecified", model, Collections.emptyMap(), null));
String[] sentence = sequence.getSource().getSentence();
String[] tags = seqCodec.encode(tagger.find(sentence), sentence.length);
Event[] events = new Event[sentence.length];
NameFinderEventStream.generateEvents(sentence,tags,pcg).toArray(events);
return events;
}
@Override
public Sequence read() throws IOException {
NameSample sample = psi.read();
if (sample != null) {
String[] sentence = sample.getSentence();
String[] tags = seqCodec.encode(sample.getNames(), sentence.length);
Event[] events = new Event[sentence.length];
for (int i = 0; i < sentence.length; i++) {
// it is safe to pass the tags as previous tags because
// the context generator does not look for non predicted tags
String[] context;
if (useOutcomes) {
context = pcg.getContext(i, sentence, tags, null);
}
else {
context = pcg.getContext(i, sentence, null, null);
}
events[i] = new Event(tags[i], context);
}
return new Sequence<>(events,sample);
}
else {
return null;
}
}
@Override
public void reset() throws IOException, UnsupportedOperationException {
psi.reset();
}
@Override
public void close() throws IOException {
psi.close();
}
}
