/*
* 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.model;
import java.io.File;
import java.io.IOException;
import opennlp.maxent.io.GISModelReader;
import opennlp.maxent.io.QNModelReader;
import opennlp.perceptron.PerceptronModelReader;
public class GenericModelReader extends AbstractModelReader {
private AbstractModelReader delegateModelReader;
public GenericModelReader (File f) throws IOException {
super(f);
}
public GenericModelReader(DataReader dataReader) {
super(dataReader);
}
public void checkModelType() throws IOException {
String modelType = readUTF();
if (modelType.equals("Perceptron")) {
delegateModelReader = new PerceptronModelReader(this.dataReader);
}
else if (modelType.equals("GIS")) {
delegateModelReader = new GISModelReader(this.dataReader);
}
else if (modelType.equals("QN")) {
delegateModelReader = new QNModelReader(this.dataReader);
}
else {
throw new IOException("Unknown model format: "+modelType);
}
}
public AbstractModel constructModel() throws IOException {
return delegateModelReader.constructModel();
}
public static void main(String[] args) throws IOException {
AbstractModel m = new GenericModelReader(new File(args[0])).getModel();
new GenericModelWriter( m, new File(args[1])).persist();
}
}