/*
*
* YAQP - Yet Another QSAR Project:
* Machine Learning algorithms designed for the prediction of toxicological
* features of chemical compounds become available on the Web. Yaqp is developed
* under OpenTox (http://opentox.org) which is an FP7-funded EU research project.
* This project was developed at the Automatic Control Lab in the Chemical Engineering
* School of the National Technical University of Athens. Please read README for more
* information.
*
* Copyright (C) 2009-2010 Pantelis Sopasakis & Charalampos Chomenides
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see <http://www.gnu.org/licenses/>.
*
* Contact:
* Pantelis Sopasakis
* chvng@mail.ntua.gr
* Address: Iroon Politechniou St. 9, Zografou, Athens Greece
* tel. +30 210 7723236
*/
package org.opentox.io.processors;
import org.opentox.core.exceptions.YaqpException;
import org.opentox.io.interfaces.JPublishable;
import org.opentox.ontology.components.YaqpComponent;
import org.restlet.data.MediaType;
/**
*
* @author Pantelis Sopasakis
* @author Charalampos Chomenides
*/
public final class Publisher extends AbstractIOProcessor<YaqpComponent, JPublishable>{
private MediaType media;
private Publisher(){
}
public Publisher(MediaType media){
this.media = media;
}
public JPublishable handle(YaqpComponent i) throws YaqpException {
return i.getPublishable(media);
}
}