content: /**
   * 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.bigtop.datagenerators.bigpetstore.generators.customer;
  
  import static org.junit.Assert.assertNotNull;
  import static org.junit.Assert.assertTrue;
  
  import java.util.ArrayList;
  import java.util.Arrays;
  import java.util.List;
  import java.util.Map;
  
  import org.apache.bigtop.datagenerators.bigpetstore.Constants;
  import org.apache.bigtop.datagenerators.bigpetstore.datamodels.Customer;
  import org.apache.bigtop.datagenerators.bigpetstore.datamodels.Store;
  import org.apache.bigtop.datagenerators.locations.Location;
  import org.apache.bigtop.datagenerators.samplers.SeedFactory;
  import org.apache.bigtop.datagenerators.samplers.pdfs.ProbabilityDensityFunction;
  import org.apache.bigtop.datagenerators.samplers.samplers.ConditionalSampler;
  import org.apache.bigtop.datagenerators.samplers.samplers.RouletteWheelSampler;
  import org.apache.bigtop.datagenerators.samplers.samplers.Sampler;
  import org.apache.bigtop.datagenerators.samplers.samplers.SequenceSampler;
  import org.apache.commons.lang3.tuple.Pair;
  import org.junit.Test;
  
  import com.google.common.collect.Lists;
  import com.google.common.collect.Maps;
  
  public class TestCustomerSampler
  {
  	protected ConditionalSampler<Location, Store> buildLocationSampler(List<Store> stores, List<Location> records,
  			SeedFactory factory)
  	{
  		final Map<Store, Sampler<Location>> locationSamplers = Maps.newHashMap();
  		for(Store store : stores)
  		{
  			ProbabilityDensityFunction<Location> locationPDF = new CustomerLocationPDF(records,
  					store, Constants.AVERAGE_CUSTOMER_STORE_DISTANCE);
  			Sampler<Location> locationSampler = RouletteWheelSampler.create(records, locationPDF, factory);
  			locationSamplers.put(store, locationSampler);
  		}
  
  		return new ConditionalSampler<Location, Store>()
  				{
  					public Location sample(Store store) throws Exception
  					{
  						return locationSamplers.get(store).sample();
  					}
  				};
  	}
  
  	@Test
  	public void testBuild() throws Exception
  	{
  		SeedFactory factory = new SeedFactory(1234);
  
  		List<Pair<String, String>> nameList = Lists.newArrayList();
  		nameList.add(Pair.of("Fred", "Fred"));
  		nameList.add(Pair.of("Gary", "Gary"));
  		nameList.add(Pair.of("George", "George"));
  		nameList.add(Pair.of("Fiona", "Fiona"));
  
  		List<Location> zipcodes = Arrays.asList(new Location[] {
  				new Location("11111", Pair.of(1.0, 1.0), "AZ", "Tempte", 30000.0, 100),
  				new Location("22222", Pair.of(2.0, 2.0), "AZ", "Phoenix", 45000.0, 200),
  				new Location("33333", Pair.of(3.0, 3.0), "AZ", "Flagstaff", 60000.0, 300)
  				});
  
  		List<Store> stores = new ArrayList<Store>();
  		for(int i = 0; i < zipcodes.size(); i++)
  		{
  			Store store = new Store(i, "Store_" + i, zipcodes.get(i));
  			stores.add(store);
  		}
  
  
  		Sampler<Integer> idSampler = new SequenceSampler();
  		Sampler<Pair<String, String>> nameSampler = RouletteWheelSampler.createUniform(nameList, factory);
  		Sampler<Store> storeSampler = RouletteWheelSampler.createUniform(stores, factory);
  		ConditionalSampler<Location, Store> zipcodeSampler = buildLocationSampler(stores, zipcodes, factory);
  
  		Sampler<Customer> sampler = new CustomerSampler(idSampler, nameSampler, storeSampler, zipcodeSampler);
  
  		Customer customer = sampler.sample();
  
  		assertNotNull(customer);
  		assertTrue(customer.getId() >= 0);
  		assertNotNull(customer.getName());
  		assertTrue(nameList.contains(customer.getName()));
  		assertNotNull(customer.getLocation());
  		assertTrue(zipcodes.contains(customer.getLocation()));
  
  	}
  
  }
  