/** * Copyright 2012 plista GmbH (http://www.plista.com/) * * Licensed 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 org.plista.kornakapi.web.servlets; import org.apache.mahout.cf.taste.common.TasteException; import org.plista.kornakapi.web.Parameters; import org.quartz.SchedulerException; import javax.servlet.ServletException; import javax.servlet.http.HttpServletRequest; import javax.servlet.http.HttpServletResponse; import java.io.IOException; /** servlet to manually trigger the training for a recommender */ public class TrainServlet extends BaseServlet { @Override protected void doGet(HttpServletRequest request, HttpServletResponse response) throws ServletException, IOException { String label = getParameter(request, Parameters.LABEL, true); String recommenderName = getParameter(request, Parameters.RECOMMENDER, true)+"_"+ label; if(!containsTrainer(recommenderName)){ try { createRecommenderForLabel(label); } catch (TasteException e) { // TODO Auto-generated catch block e.printStackTrace(); } } try { scheduler().immediatelyTrainRecommender(recommenderName); } catch (SchedulerException e) { e.printStackTrace(); } } }