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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.apex.examples.frauddetect;
import java.util.ArrayList;
import org.apache.apex.malhar.lib.multiwindow.AbstractSlidingWindowKeyVal;
import org.apache.apex.malhar.lib.util.KeyValPair;
import com.datatorrent.api.DefaultOutputPort;
import com.datatorrent.api.annotation.OutputPortFieldAnnotation;
/**
* Sliding window sum operator
*
* @since 0.9.0
*/
public class SlidingWindowSumKeyVal<K, V extends Number> extends AbstractSlidingWindowKeyVal<K, V, SlidingWindowSumObject>
{
/**
* Output port to emit simple moving average (SMA) of last N window as Double.
*/
@OutputPortFieldAnnotation(optional = true)
public final transient DefaultOutputPort<KeyValPair<K, Double>> doubleSum = new DefaultOutputPort<KeyValPair<K, Double>>();
/**
* Output port to emit simple moving average (SMA) of last N window as Float.
*/
@OutputPortFieldAnnotation(optional = true)
public final transient DefaultOutputPort<KeyValPair<K, Float>> floatSum = new DefaultOutputPort<KeyValPair<K, Float>>();
/**
* Output port to emit simple moving average (SMA) of last N window as Long.
*/
@OutputPortFieldAnnotation(optional = true)
public final transient DefaultOutputPort<KeyValPair<K, Long>> longSum = new DefaultOutputPort<KeyValPair<K, Long>>();
/**
* Output port to emit simple moving average (SMA) of last N window as
* Integer.
*/
@OutputPortFieldAnnotation(optional = true)
public final transient DefaultOutputPort<KeyValPair<K, Integer>> integerSum = new DefaultOutputPort<KeyValPair<K, Integer>>();
@Override
public void processDataTuple(KeyValPair<K, V> tuple)
{
K key = tuple.getKey();
ArrayList<SlidingWindowSumObject> stateList = buffer.get(key);
if (stateList == null) {
stateList = new ArrayList<SlidingWindowSumObject>();
for (int i = 0; i < windowSize; ++i) {
stateList.add(new SlidingWindowSumObject());
}
buffer.put(key, stateList);
}
SlidingWindowSumObject state = stateList.get(currentstate);
state.add(tuple.getValue());
}
@Override
public void emitTuple(K key, ArrayList<SlidingWindowSumObject> obj)
{
double sum = 0;
for (int i = 0; i < obj.size(); ++i) {
SlidingWindowSumObject state = obj.get(i);
sum += state.getSum();
}
if (doubleSum.isConnected()) {
doubleSum.emit(new KeyValPair<K, Double>(key, sum));
}
if (floatSum.isConnected()) {
floatSum.emit(new KeyValPair<K, Float>(key, (float)sum));
}
if (longSum.isConnected()) {
longSum.emit(new KeyValPair<K, Long>(key, (long)sum));
}
if (integerSum.isConnected()) {
integerSum.emit(new KeyValPair<K, Integer>(key, (int)sum));
}
}
}