/**
* 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.core.training.preferencechanges;
import com.google.common.base.Preconditions;
import org.plista.kornakapi.core.training.TrainingScheduler;
import org.quartz.SchedulerException;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import java.util.concurrent.atomic.AtomicLong;
/** a simple, transient {@link PreferenceChangeListener} */
public class InMemoryPreferenceChangeListener implements PreferenceChangeListener{
private final TrainingScheduler scheduler;
private final String recommenderName;
private final int retrainCount;
private final AtomicLong numberOfChanges = new AtomicLong(0);
private static final Logger log = LoggerFactory.getLogger(InMemoryPreferenceChangeListener.class);
public InMemoryPreferenceChangeListener(TrainingScheduler scheduler, String recommenderName, int retrainCount) {
Preconditions.checkArgument(retrainCount > 0);
this.scheduler = scheduler;
this.recommenderName = recommenderName;
this.retrainCount = retrainCount;
}
@Override
public void notifyOfPreferenceChange() {
long changes = numberOfChanges.incrementAndGet();
if (changes % retrainCount == 0) {
if (log.isInfoEnabled()) {
log.info("Retraining recommender {} after {} preference changes", recommenderName, changes);
}
try {
scheduler.immediatelyTrainRecommender(recommenderName);
} catch (SchedulerException e) {
// TODO Auto-generated catch block
e.printStackTrace();
}
}
}
}