/*
* 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.
*
* 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/>.
*
*/
package org.opentox.util.logging.logobject;
import org.apache.log4j.Level;
/**
*
* @author Pantelis Sopasakis
* @author Charalampos Chomenides
*/
public class AbstractLogObject implements LogObject{
private String message = "";
private Level level = Level.WARN;
private Class source = null;
public AbstractLogObject(Class clash) {
this.source = clash;
}
public AbstractLogObject(Class clash, String message) {
this.source = clash;
this.message = message;
}
public String getMessage() {
return message;
}
public void setMessage(String message) {
this.message = message;
}
public void setLogType(Level level) {
this.level = level;
}
public void setSource(Class clash) {
this.source = clash;
}
public Class getSource() {
return source;
}
public Level getLevel() {
return level;
}
}