/*
* Copyright 2016
* Ubiquitous Knowledge Processing (UKP) Lab
* Technische Universität Darmstadt
*
* 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 de.tudarmstadt.ukp.dkpro.core.opennlp.internal;
import java.io.File;
import java.io.FileOutputStream;
import java.io.IOException;
import java.io.OutputStream;
import java.util.concurrent.Callable;
import java.util.concurrent.ExecutionException;
import java.util.concurrent.ExecutorService;
import java.util.concurrent.Executors;
import java.util.concurrent.Future;
import org.apache.uima.UimaContext;
import org.apache.uima.analysis_engine.AnalysisEngineProcessException;
import org.apache.uima.fit.component.JCasConsumer_ImplBase;
import org.apache.uima.fit.descriptor.ConfigurationParameter;
import org.apache.uima.jcas.JCas;
import org.apache.uima.resource.ResourceInitializationException;
import de.tudarmstadt.ukp.dkpro.core.api.parameter.ComponentParameters;
import opennlp.tools.util.model.BaseModel;
/**
* Train a model for OpenNLP.
*/
public abstract class OpenNlpTrainerBase<T extends CasSampleStreamBase>
extends JCasConsumer_ImplBase
{
public static final String PARAM_TARGET_LOCATION = ComponentParameters.PARAM_TARGET_LOCATION;
@ConfigurationParameter(name = PARAM_TARGET_LOCATION, mandatory = true)
private File targetLocation;
private T stream;
private ExecutorService executor = Executors.newSingleThreadExecutor();
private Future<? extends BaseModel> future;
@Override
public void initialize(UimaContext aContext)
throws ResourceInitializationException
{
super.initialize(aContext);
stream = makeSampleStream();
Callable<? extends BaseModel> trainTask = makeTrainer();
future = executor.submit(trainTask);
}
public abstract T makeSampleStream();
public abstract Callable<? extends BaseModel> makeTrainer();
public T getStream()
{
return stream;
}
@Override
public void process(JCas aJCas)
throws AnalysisEngineProcessException
{
if (!future.isCancelled()) {
stream.send(aJCas);
}
}
@Override
public void collectionProcessComplete()
throws AnalysisEngineProcessException
{
try {
stream.close();
}
catch (IOException e) {
throw new AnalysisEngineProcessException(e);
}
BaseModel model;
try {
model = future.get();
}
catch (InterruptedException | ExecutionException e) {
throw new AnalysisEngineProcessException(e);
}
try (OutputStream out = new FileOutputStream(targetLocation)) {
model.serialize(out);
}
catch (IOException e) {
throw new AnalysisEngineProcessException(e);
}
}
}