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
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  package org.apache.bigtop.datagenerators.bigpetstore.generators.customer;
  
  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.bigpetstore.datamodels.inputs.InputData;
  import org.apache.bigtop.datagenerators.locations.Location;
  import org.apache.bigtop.datagenerators.namegenerator.NameGenerator;
  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 com.google.common.collect.Maps;
  
  public class CustomerSamplerBuilder
  {
  	private final List<Store> stores;
  	private final InputData inputData;
  	private final SeedFactory seedFactory;
  
  	public CustomerSamplerBuilder(List<Store> stores, InputData inputData, SeedFactory seedFactory)
  	{
  		this.stores = stores;
  		this.seedFactory = seedFactory;
  		this.inputData = inputData;
  	}
  
  	protected ConditionalSampler<Location, Store> buildLocationSampler()
  	{
  		final Map<Store, Sampler<Location>> locationSamplers = Maps.newHashMap();
  		for(Store store : stores)
  		{
  			ProbabilityDensityFunction<Location> locationPDF = new CustomerLocationPDF(inputData.getZipcodeTable(),
  					store, Constants.AVERAGE_CUSTOMER_STORE_DISTANCE);
  			Sampler<Location> locationSampler = RouletteWheelSampler.create(inputData.getZipcodeTable(), locationPDF, seedFactory);
  			locationSamplers.put(store, locationSampler);
  		}
  
  		return new ConditionalSampler<Location, Store>()
  				{
  					public Location sample(Store store) throws Exception
  					{
  						return locationSamplers.get(store).sample();
  					}
  				};
  	}
  
  	public Sampler<Customer> build() throws Exception
  	{
  		ProbabilityDensityFunction<Store> storePDF = new CustomerStorePDF(stores);
  
  		Sampler<Integer> idSampler = new SequenceSampler();
  		Sampler<Pair<String, String>> nameSampler = new NameGenerator(seedFactory);
  		Sampler<Store> storeSampler = RouletteWheelSampler.create(stores, storePDF, seedFactory);
  
  		return new CustomerSampler(idSampler, nameSampler, storeSampler, buildLocationSampler());
  	}
  
  }
  