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1   /*
2    * (c) Copyright 2006-2020 by rapiddweller GmbH & Volker Bergmann. All rights reserved.
3    *
4    * Redistribution and use in source and binary forms, with or without
5    * modification, is permitted under the terms of the
6    * GNU General Public License.
7    *
8    * For redistributing this software or a derivative work under a license other
9    * than the GPL-compatible Free Software License as defined by the Free
10   * Software Foundation or approved by OSI, you must first obtain a commercial
11   * license to this software product from rapiddweller GmbH & Volker Bergmann.
12   *
13   * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
14   * WITHOUT A WARRANTY OF ANY KIND. ALL EXPRESS OR IMPLIED CONDITIONS,
15   * REPRESENTATIONS AND WARRANTIES, INCLUDING ANY IMPLIED WARRANTY OF
16   * MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE OR NON-INFRINGEMENT, ARE
17   * HEREBY EXCLUDED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
18   * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
19   * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
20   * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
21   * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
22   * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
23   * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
24   * POSSIBILITY OF SUCH DAMAGE.
25   */
26  
27  package com.rapiddweller.domain.address;
28  
29  import com.rapiddweller.benerator.NonNullGenerator;
30  import com.rapiddweller.benerator.WeightedGenerator;
31  import com.rapiddweller.benerator.dataset.AbstractDatasetGenerator;
32  import com.rapiddweller.benerator.dataset.Dataset;
33  import com.rapiddweller.benerator.distribution.FeatureWeight;
34  import com.rapiddweller.benerator.distribution.IndividualWeight;
35  import com.rapiddweller.benerator.sample.IndividualWeightSampleGenerator;
36  import com.rapiddweller.benerator.util.GeneratorUtil;
37  
38  /**
39   * Generates {@link City} objects.<br/>
40   * <br/>
41   * Created: 14.10.2007 21:24:25
42   *
43   * @author Volker Bergmann
44   */
45  public class CityGenerator extends AbstractDatasetGenerator<City>
46      implements NonNullGenerator<City> {
47  
48    private static final String REGION = "/com/rapiddweller/dataset/region";
49  
50    /**
51     * Instantiates a new City generator.
52     *
53     * @param dataset the dataset
54     */
55    public CityGenerator(String dataset) {
56      super(City.class, REGION, dataset, true);
57    }
58  
59    @Override
60    protected boolean isAtomic(Dataset dataset) {
61      Country country = Country.getInstance(dataset.getName(), false);
62      return (country != null);
63    }
64  
65    @SuppressWarnings({"rawtypes", "unchecked"})
66    @Override
67    protected WeightedGenerator<City> createGeneratorForAtomicDataset(
68        Dataset dataset) {
69      IndividualWeightSampleGenerator<City> generator =
70          new IndividualWeightSampleGenerator<City>(
71              City.class,
72              (IndividualWeight) new FeatureWeight("population"));
73      Country country = Country.getInstance(dataset.getName());
74      country.checkCities();
75      for (State state : country.getStates()) {
76        for (City city : state.getCities()) {
77          generator.addValue(city);
78        }
79      }
80      return (generator.getVariety() > 0 ? generator : null);
81    }
82  
83    @Override
84    public City generate() {
85      return GeneratorUtil.generateNonNull(this);
86    }
87  
88  }