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package org.djutils.stats.summarizers.event;

import java.io.Serializable;
import java.rmi.RemoteException;

import org.djutils.event.Event;
import org.djutils.event.EventListener;
import org.djutils.event.EventListenerMap;
import org.djutils.event.EventProducer;
import org.djutils.event.LocalEventProducer;
import org.djutils.exceptions.Throw;
import org.djutils.stats.summarizers.WeightedTally;

/**
 * The EventBasedWeightedTally class defines a time-weighted tally that can be notified with weights and values using the
 * EventListener. It also produces events when values are tallied and when the tally is initialized. It embeds an EventProducer
 * so it can keep listeners informed about new observations.
 * 

* Copyright (c) 2002-2024 Delft University of Technology, Jaffalaan 5, 2628 BX Delft, the Netherlands. All rights reserved. See * for project information https://simulation.tudelft.nl. The DSOL * project is distributed under a three-clause BSD-style license, which can be found at * * https://simulation.tudelft.nl/dsol/3.0/license.html.
* @author Alexander Verbraeck * @author Peter Knoppers */ public class EventBasedWeightedTally extends WeightedTally implements EventProducer, EventListener { /** */ private static final long serialVersionUID = 20200228L; /** The embedded EventProducer. */ private EventProducer eventProducer = null; /** * Construct a new WeightedTally with a description. * @param description String; the description of this WeightedTally */ public EventBasedWeightedTally(final String description) { this(description, new LocalEventProducer()); } /** * Construct a new WeightedTally with a description. * @param description String; the description of this WeightedTally * @param eventProducer EventProducer; the EventProducer to embed and use in this statistic */ public EventBasedWeightedTally(final String description, final EventProducer eventProducer) { super(description); Throw.whenNull(eventProducer, "eventProducer cannot be null"); this.eventProducer = eventProducer; } @Override public EventListenerMap getEventListenerMap() throws RemoteException { return this.eventProducer.getEventListenerMap(); } @Override public void initialize() { super.initialize(); if (this.eventProducer != null) { try { this.eventProducer.fireEvent(StatisticsEvents.INITIALIZED_EVENT); } catch (RemoteException exception) { throw new RuntimeException(exception); } } } @Override public void notify(final Event event) { // metadata descriptor checks content Object[] content = (Object[]) event.getContent(); double weight = ((Number) content[0]).doubleValue(); double value = ((Number) content[1]).doubleValue(); register(weight, value); } /** * Process one observed weighted value. * @param weight double; the weight of the value to process * @param value double; the value to process * @return double; the value */ @Override public double register(final double weight, final double value) { super.register(weight, value); try { if (hasListeners()) { this.eventProducer.fireEvent(StatisticsEvents.WEIGHTED_OBSERVATION_ADDED_EVENT, new Serializable[] {weight, value}); fireEvents(); } } catch (RemoteException exception) { throw new RuntimeException(exception); } return value; } /** * Method that can be overridden to fire own events or additional events when registering an observation. * @throws RemoteException on network error */ protected void fireEvents() throws RemoteException { this.eventProducer.fireEvent(StatisticsEvents.N_EVENT, getN()); this.eventProducer.fireEvent(StatisticsEvents.MIN_EVENT, getMin()); this.eventProducer.fireEvent(StatisticsEvents.MAX_EVENT, getMax()); this.eventProducer.fireEvent(StatisticsEvents.WEIGHTED_POPULATION_MEAN_EVENT, getWeightedPopulationMean()); this.eventProducer.fireEvent(StatisticsEvents.WEIGHTED_POPULATION_VARIANCE_EVENT, getWeightedPopulationVariance()); this.eventProducer.fireEvent(StatisticsEvents.WEIGHTED_POPULATION_STDEV_EVENT, getWeightedPopulationStDev()); this.eventProducer.fireEvent(StatisticsEvents.WEIGHTED_SUM_EVENT, getWeightedSum()); this.eventProducer.fireEvent(StatisticsEvents.WEIGHTED_SAMPLE_MEAN_EVENT, getWeightedSampleMean()); this.eventProducer.fireEvent(StatisticsEvents.WEIGHTED_SAMPLE_VARIANCE_EVENT, getWeightedSampleVariance()); this.eventProducer.fireEvent(StatisticsEvents.WEIGHTED_SAMPLE_STDEV_EVENT, getWeightedSampleStDev()); } @Override public String toString() { return super.toString(); } }





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