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/**
* 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.bigpetstore.datagenerator.generators.customer;
import java.util.List;
import java.util.Map;
import org.apache.bigtop.bigpetstore.datagenerator.Constants;
import org.apache.bigtop.bigpetstore.datagenerator.datamodels.Customer;
import org.apache.bigtop.bigpetstore.datagenerator.datamodels.Store;
import org.apache.bigtop.bigpetstore.datagenerator.datamodels.inputs.InputData;
import org.apache.bigtop.bigpetstore.datagenerator.datamodels.inputs.ZipcodeRecord;
import org.apache.bigtop.bigpetstore.datagenerator.framework.SeedFactory;
import org.apache.bigtop.bigpetstore.datagenerator.framework.pdfs.ProbabilityDensityFunction;
import org.apache.bigtop.bigpetstore.datagenerator.framework.samplers.ConditionalSampler;
import org.apache.bigtop.bigpetstore.datagenerator.framework.samplers.RouletteWheelSampler;
import org.apache.bigtop.bigpetstore.datagenerator.framework.samplers.Sampler;
import org.apache.bigtop.bigpetstore.datagenerator.framework.samplers.SequenceSampler;
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<ZipcodeRecord, Store> buildLocationSampler()
{
final Map<Store, Sampler<ZipcodeRecord>> locationSamplers = Maps.newHashMap();
for(Store store : stores)
{
ProbabilityDensityFunction<ZipcodeRecord> locationPDF = new CustomerLocationPDF(inputData.getZipcodeTable(),
store, Constants.AVERAGE_CUSTOMER_STORE_DISTANCE);
Sampler<ZipcodeRecord> locationSampler = RouletteWheelSampler.create(inputData.getZipcodeTable(), locationPDF, seedFactory);
locationSamplers.put(store, locationSampler);
}
return new ConditionalSampler<ZipcodeRecord, Store>()
{
public ZipcodeRecord sample(Store store) throws Exception
{
return locationSamplers.get(store).sample();
}
public Sampler<ZipcodeRecord> fixConditional(Store store)
{
return locationSamplers.get(store);
}
};
}
public Sampler<Customer> build()
{
ProbabilityDensityFunction<Store> storePDF = new CustomerStorePDF(stores);
Sampler<Integer> idSampler = new SequenceSampler();
Sampler<String> firstNameSampler = RouletteWheelSampler.create(inputData.getNames().getFirstNames(), seedFactory);
Sampler<String> lastNameSampler = RouletteWheelSampler.create(inputData.getNames().getLastNames(), seedFactory);
Sampler<Store> storeSampler = RouletteWheelSampler.create(stores, storePDF, seedFactory);
return new CustomerSampler(idSampler, firstNameSampler, lastNameSampler, storeSampler, buildLocationSampler());
}
}
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