/* * 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; } }