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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 static org.junit.Assert.assertNotNull;
import static org.junit.Assert.assertTrue;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.Collection;
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.Pair;
import org.apache.bigtop.bigpetstore.datagenerator.datamodels.Store;
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 org.apache.bigtop.bigpetstore.datagenerator.generators.customer.CustomerLocationPDF;
import org.apache.bigtop.bigpetstore.datagenerator.generators.customer.CustomerSampler;
import org.junit.Test;
import com.google.common.collect.Maps;
public class TestCustomerSampler
{
protected ConditionalSampler<ZipcodeRecord, Store> buildLocationSampler(List<Store> stores, List<ZipcodeRecord> records,
SeedFactory factory)
{
final Map<Store, Sampler<ZipcodeRecord>> locationSamplers = Maps.newHashMap();
for(Store store : stores)
{
ProbabilityDensityFunction<ZipcodeRecord> locationPDF = new CustomerLocationPDF(records,
store, Constants.AVERAGE_CUSTOMER_STORE_DISTANCE);
Sampler<ZipcodeRecord> locationSampler = RouletteWheelSampler.create(records, locationPDF, factory);
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);
}
};
}
@Test
public void testBuild() throws Exception
{
SeedFactory factory = new SeedFactory(1234);
Collection<String> nameList = Arrays.asList(new String[] {"Fred", "Gary", "George", "Fiona"});
List<ZipcodeRecord> zipcodes = Arrays.asList(new ZipcodeRecord[] {
new ZipcodeRecord("11111", Pair.create(1.0, 1.0), "AZ", "Tempte", 30000.0, 100),
new ZipcodeRecord("22222", Pair.create(2.0, 2.0), "AZ", "Phoenix", 45000.0, 200),
new ZipcodeRecord("33333", Pair.create(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<String> nameSampler = RouletteWheelSampler.createUniform(nameList, factory);
Sampler<Store> storeSampler = RouletteWheelSampler.createUniform(stores, factory);
ConditionalSampler<ZipcodeRecord, Store> zipcodeSampler = buildLocationSampler(stores, zipcodes, factory);
Sampler<Customer> sampler = new CustomerSampler(idSampler, nameSampler, nameSampler, storeSampler, zipcodeSampler);
Customer customer = sampler.sample();
assertNotNull(customer);
assertTrue(customer.getId() >= 0);
assertNotNull(customer.getName());
assertNotNull(customer.getName().getFirst());
assertTrue(nameList.contains(customer.getName().getFirst()));
assertNotNull(customer.getName().getSecond());
assertTrue(nameList.contains(customer.getName().getSecond()));
assertNotNull(customer.getLocation());
assertTrue(zipcodes.contains(customer.getLocation()));
}
}
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