opennlp.tools.formats.ad.ADChunkSampleStreamFactory Maven / Gradle / Ivy
/*
* 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.formats.ad;
import java.io.File;
import java.io.IOException;
import java.nio.charset.Charset;
import opennlp.tools.chunker.ChunkSample;
import opennlp.tools.cmdline.ArgumentParser;
import opennlp.tools.cmdline.ArgumentParser.OptionalParameter;
import opennlp.tools.cmdline.ArgumentParser.ParameterDescription;
import opennlp.tools.cmdline.CmdLineUtil;
import opennlp.tools.cmdline.StreamFactoryRegistry;
import opennlp.tools.commons.Internal;
import opennlp.tools.formats.LanguageSampleStreamFactory;
import opennlp.tools.util.InputStreamFactory;
import opennlp.tools.util.ObjectStream;
import opennlp.tools.util.PlainTextByLineStream;
/**
* A Factory to create a Arvores Deitadas ChunkStream from the command line
* utility.
*
* Note:
* Do not use this class, internal use only!
*/
@Internal
public class ADChunkSampleStreamFactory
extends LanguageSampleStreamFactory {
interface Parameters {
//all have to be repeated, because encoding is not optional,
//according to the check if (encoding == null) { below (now removed)
@ParameterDescription(valueName = "charsetName",
description = "encoding for reading and writing text, if absent the system default is used.")
Charset getEncoding();
@ParameterDescription(valueName = "sampleData", description = "data to be used, usually a file name.")
File getData();
@ParameterDescription(valueName = "language", description = "language which is being processed.")
String getLang();
@ParameterDescription(valueName = "start", description = "index of first sentence")
@OptionalParameter
Integer getStart();
@ParameterDescription(valueName = "end", description = "index of last sentence")
@OptionalParameter
Integer getEnd();
}
public static void registerFactory() {
StreamFactoryRegistry.registerFactory(ChunkSample.class,
"ad", new ADChunkSampleStreamFactory<>(Parameters.class));
}
protected ADChunkSampleStreamFactory(Class params) {
super(params);
}
@Override
public ObjectStream create(String[] args) {
Parameters params = ArgumentParser.parse(args, Parameters.class);
language = params.getLang();
InputStreamFactory sampleDataIn = CmdLineUtil.createInputStreamFactory(params.getData());
ObjectStream lineStream = null;
try {
lineStream = new PlainTextByLineStream(sampleDataIn, params.getEncoding());
} catch (IOException ex) {
CmdLineUtil.handleCreateObjectStreamError(ex);
}
ADChunkSampleStream sampleStream = new ADChunkSampleStream(lineStream);
if (params.getStart() != null && params.getStart() > -1) {
sampleStream.setStart(params.getStart());
}
if (params.getEnd() != null && params.getEnd() > -1) {
sampleStream.setEnd(params.getEnd());
}
return sampleStream;
}
}