/* * ************************************************************************************* * 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; } }