/**
 * 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.ga.watchmaker;

import com.google.common.collect.Lists;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.FSDataInputStream;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.Path;
import org.apache.mahout.common.MahoutTestCase;
import org.apache.mahout.ga.watchmaker.utils.DummyCandidate;
import org.apache.mahout.ga.watchmaker.utils.DummyEvaluator;
import org.apache.mahout.common.StringUtils;
import org.apache.mahout.common.iterator.FileLineIterable;
import org.junit.Test;
import org.uncommons.watchmaker.framework.FitnessEvaluator;

import java.io.IOException;
import java.util.List;

public final class MahoutEvaluatorTest extends MahoutTestCase {

  private static final int POPULATION_SIZE = 100;

  @Test
  public void testEvaluate() throws Exception {
    // candidate population
    List<DummyCandidate> population = DummyCandidate.generatePopulation(POPULATION_SIZE);

    // fitness evaluator
    DummyEvaluator.clearEvaluations();
    FitnessEvaluator<DummyCandidate> evaluator = new DummyEvaluator();

    // run MahoutEvaluator
    List<Double> results = Lists.newArrayList();
    Path input = getTestTempDirPath("input");
    Path output = getTestTempDirPath("output");

    MahoutEvaluator.evaluate(evaluator, population, results, input, output);

    // check results
    assertEquals("Number of evaluations", POPULATION_SIZE, results.size());
    for (int index = 0; index < population.size(); index++) {
      DummyCandidate candidate = population.get(index);
      assertEquals("Evaluation of the candidate " + index,
                   DummyEvaluator.getFitness(candidate.getIndex()), results.get(index), EPSILON);
    }
  }

  @Test
  public void testStoreLoadPopulation() throws Exception {
    List<DummyCandidate> population = DummyCandidate.generatePopulation(POPULATION_SIZE);

    Path tempPath = getTestTempFilePath("test.txt");
    FileSystem fs = tempPath.getFileSystem(new Configuration());

    // store the population
    MahoutEvaluator.storePopulation(fs, tempPath, population);

    // load the population
    List<DummyCandidate> inpop = loadPopulation(fs, tempPath);

    // check that the file contains the correct population
    assertEquals("Population size", population.size(), inpop.size());
    for (int index = 0; index < population.size(); index++) {
      assertEquals("Bad candidate " + index, population.get(index), inpop.get(index));
    }
  }

  private static List<DummyCandidate> loadPopulation(FileSystem fs, Path f) throws IOException {
    List<DummyCandidate> population = Lists.newArrayList();
    FSDataInputStream in = fs.open(f);
    for (String line : new FileLineIterable(in)) {
      population.add(StringUtils.<DummyCandidate>fromString(line));
    }
    return population;
  }

}