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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.malhar.lib.math;
import java.util.HashMap;
import java.util.Map;
import org.apache.apex.malhar.lib.util.BaseNumberKeyValueOperator;
import org.apache.apex.malhar.lib.util.UnifierHashMap;
import org.apache.commons.lang.mutable.MutableDouble;
import com.datatorrent.api.DefaultInputPort;
import com.datatorrent.api.DefaultOutputPort;
/**
*
* This operator adds all values for each key in "numerator" and "denominator", and emits the margin for each key at the end of window.
* <p>
* Margin is calculated as 1 - SUM(numerator)/SUM(denominator).
* <br>The values are added for each key within the window and for each stream.<br>
* <br>
* <b>Ports</b>:<br>
* <b>numerator</b>: expects Map&lt;K,V&gt;<br>
* <b>denominator</b>: expects Map&lt;K,V&gt;<br>
* <b>margin</b>: emits HashMap&lt;K,Double&gt;, one entry per key per window<br>
* <br>
* <b>Properties</b>:<br>
* <b>inverse</b>: if set to true the key in the filter will block tuple<br>
* <b>filterBy</b>: List of keys to filter on<br>
* <br>
* @displayName Margin Map
* @category Math
* @tags sum, division, numeric, map
* @since 0.3.2
*/
public class MarginMap<K, V extends Number> extends BaseNumberKeyValueOperator<K,V>
{
/**
* Numerator input port that takes a map.
*/
public final transient DefaultInputPort<Map<K, V>> numerator = new DefaultInputPort<Map<K, V>>()
{
/**
* Adds tuple to the numerator hash
*/
@Override
public void process(Map<K, V> tuple)
{
addTuple(tuple, numerators);
}
};
/**
* Denominator input port that takes a map.
*/
public final transient DefaultInputPort<Map<K, V>> denominator = new DefaultInputPort<Map<K, V>>()
{
/**
* Adds tuple to the denominator hash
*/
@Override
public void process(Map<K, V> tuple)
{
addTuple(tuple, denominators);
}
};
/**
* Adds the value for each key.
* @param tuple
* @param map
*/
public void addTuple(Map<K, V> tuple, Map<K, MutableDouble> map)
{
for (Map.Entry<K, V> e: tuple.entrySet()) {
if (!doprocessKey(e.getKey()) || (e.getValue() == null)) {
continue;
}
MutableDouble val = map.get(e.getKey());
if (val == null) {
val = new MutableDouble(0.0);
map.put(cloneKey(e.getKey()), val);
}
val.add(e.getValue().doubleValue());
}
}
/*
* Output margin port that emits hashmap.
*/
public final transient DefaultOutputPort<HashMap<K, V>> margin = new DefaultOutputPort<HashMap<K, V>>()
{
@Override
public Unifier<HashMap<K, V>> getUnifier()
{
return new UnifierHashMap<K,V>();
}
};
protected HashMap<K, MutableDouble> numerators = new HashMap<K, MutableDouble>();
protected HashMap<K, MutableDouble> denominators = new HashMap<K, MutableDouble>();
boolean percent = false;
/**
* getter function for percent
* @return percent
*/
public boolean getPercent()
{
return percent;
}
/**
* setter function for percent
* @param val sets percent
*/
public void setPercent(boolean val)
{
percent = val;
}
/**
* Generates tuples for each key and emits them. Only keys that are in the denominator are iterated on
* If the key is only in the numerator, it gets ignored (cannot do divide by 0)
* Clears internal data
*/
@Override
public void endWindow()
{
HashMap<K, V> tuples = new HashMap<K, V>();
Double val;
for (Map.Entry<K, MutableDouble> e : denominators.entrySet()) {
MutableDouble nval = numerators.get(e.getKey());
if (nval == null) {
nval = new MutableDouble(0.0);
} else {
numerators.remove(e.getKey()); // so that all left over keys can be reported
}
if (percent) {
val = (1 - nval.doubleValue() / e.getValue().doubleValue()) * 100;
} else {
val = 1 - nval.doubleValue() / e.getValue().doubleValue();
}
tuples.put(e.getKey(), getValue(val.doubleValue()));
}
if (!tuples.isEmpty()) {
margin.emit(tuples);
}
numerators.clear();
denominators.clear();
}
}