/*
* *************************************************************************************
* Copyright (C) 2008 EsperTech, Inc. All rights reserved. *
* http://esper.codehaus.org *
* http://www.espertech.com *
* ---------------------------------------------------------------------------------- *
* The software in this package is published under the terms of the GPL license *
* a copy of which has been included with this distribution in the license.txt file. *
* *************************************************************************************
*/
package com.espertech.esper.epl.enummethod.eval;
import com.espertech.esper.client.EventBean;
import com.espertech.esper.client.EventType;
import com.espertech.esper.epl.expression.ExprEvaluator;
import com.espertech.esper.epl.expression.ExprEvaluatorContext;
import com.espertech.esper.event.arr.ObjectArrayEventBean;
import com.espertech.esper.event.arr.ObjectArrayEventType;
import java.util.Collection;
public class EnumEvalAverageScalarLambda extends EnumEvalBase implements EnumEval {
private final ObjectArrayEventType resultEventType;
public EnumEvalAverageScalarLambda(ExprEvaluator innerExpression, int streamCountIncoming, ObjectArrayEventType resultEventType) {
super(innerExpression, streamCountIncoming);
this.resultEventType = resultEventType;
}
public Object evaluateEnumMethod(EventBean[] eventsLambda, Collection target, boolean isNewData, ExprEvaluatorContext context) {
double sum = 0d;
int count = 0;
ObjectArrayEventBean resultEvent = new ObjectArrayEventBean(new Object[1], resultEventType);
Collection<Object> values = (Collection<Object>) target;
for (Object next : values) {
resultEvent.getProperties()[0] = next;
eventsLambda[streamNumLambda] = resultEvent;
Number num = (Number) innerExpression.evaluate(eventsLambda, isNewData, context);
if (num == null) {
continue;
}
count++;
sum += num.doubleValue();
}
if (count == 0) {
return null;
}
return sum / count;
}
}