/**
 * Licensed to the Apache Software Foundation (ASF) under one or more
 * contributor license agreements.  See the NOTICE file distributed with
 * this work for additional information regarding copyright ownership.
 * The ASF licenses this file to You 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.apache.mahout.cf.taste.impl.eval;

import java.util.ArrayList;
import java.util.Collection;
import java.util.concurrent.Callable;
import java.util.concurrent.atomic.AtomicInteger;

import org.apache.mahout.cf.taste.common.TasteException;
import org.apache.mahout.cf.taste.impl.common.LongPrimitiveIterator;
import org.apache.mahout.cf.taste.impl.common.SamplingLongPrimitiveIterator;
import org.apache.mahout.cf.taste.model.DataModel;
import org.apache.mahout.cf.taste.recommender.Recommender;

/**
 * Simple helper class for running load on a Recommender.
 */
public final class LoadEvaluator {
  
  private LoadEvaluator() { }
  
  public static void runLoad(Recommender recommender) throws TasteException {
    DataModel dataModel = recommender.getDataModel();
    int numUsers = dataModel.getNumUsers();
    double sampleRate = 1000.0 / numUsers;
    LongPrimitiveIterator userSampler = SamplingLongPrimitiveIterator.maybeWrapIterator(dataModel
        .getUserIDs(), sampleRate);
    recommender.recommend(userSampler.next(), 10); // Warm up
    Collection<Callable<Void>> callables = new ArrayList<Callable<Void>>();
    while (userSampler.hasNext()) {
      callables.add(new LoadCallable(recommender, userSampler.next()));
    }
    AbstractDifferenceRecommenderEvaluator.execute(callables, new AtomicInteger());
  }
  
  private static final class LoadCallable implements Callable<Void> {
    
    private final Recommender recommender;
    private final long userID;
    
    private LoadCallable(Recommender recommender, long userID) {
      this.recommender = recommender;
      this.userID = userID;
    }
    
    @Override
    public Void call() throws Exception {
      recommender.recommend(userID, 10);
      return null;
    }
  }
  
}