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/**
* Global Sensor Networks (GSN) Source Code
* Copyright (c) 2006-2016, Ecole Polytechnique Federale de Lausanne (EPFL)
*
* This file is part of GSN.
*
* GSN is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* GSN is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with GSN. If not, see .
*
* File: src/ch/epfl/gsn/reports/scriptlets/StreamScriptlet.java
*
* @author Timotee Maret
* @author Ali Salehi
*
*/
package ch.epfl.gsn.reports.scriptlets;
import java.text.SimpleDateFormat;
import java.util.Collection;
import java.util.Date;
import java.util.Iterator;
import net.sf.jasperreports.engine.JRDefaultScriptlet;
import net.sf.jasperreports.engine.JRScriptletException;
import net.sf.jasperreports.renderers.JCommonDrawableRenderer;
import org.jfree.chart.JFreeChart;
import ch.epfl.gsn.Main;
import ch.epfl.gsn.charts.GsnChartIF;
import ch.epfl.gsn.charts.GsnChartJfreechart;
import ch.epfl.gsn.reports.beans.Data;
import ch.epfl.gsn.utils.Helpers;
public class StreamScriptlet extends JRDefaultScriptlet {
private SimpleDateFormat sdf = new SimpleDateFormat (Main.getContainerConfig().getTimeFormat());
private static GsnChartIF gsnChart = new GsnChartJfreechart();
public StreamScriptlet () {
super () ;
}
public void afterDetailEval() throws JRScriptletException {
setStatistics () ;
setGraphic () ;
}
@SuppressWarnings("unchecked")
public void setGraphic () throws JRScriptletException {
JFreeChart chart = gsnChart.createChart((Collection) this.getFieldValue("datas"));
this.setVariableValue("Chart", new JCommonDrawableRenderer(chart));
}
@SuppressWarnings("unchecked")
public void setStatistics () throws JRScriptletException {
String max = "NA";
String min = "NA";
String average = "NA";
String stdDeviation = "NA";
String median = "NA";
String nb = "0";
String startTime = "NA";
String endTime = "NA";
String samplingAverage = "NA";
// String samplingAverageUnit = "NA";
String nbOfNull = "0";
String samplingStdDeviation = "NA";
// String samplingStdDeviationUnit = "NA";
Collection datas = (Collection) this.getFieldValue("datas");
if (datas.size() > 0) {
Double max_value = Double.MIN_VALUE;
Double min_value = Double.MAX_VALUE;
Double average_value = 0.0;
Double sum_value = 0.0;
Long start_time_value = 0L;
Long end_time_value = 0L;
Long sampling_average_value = 0L;
Integer nb_value = 0;
Integer nb_of_null = 0;
Iterator iter = datas.iterator();
Data nextData;
Double nextDataValue;
while (iter.hasNext()) {
nextData = iter.next();
if (nextData.getValue() != null) {
nextDataValue = (Double) nextData.getValue();
//
sum_value += nextDataValue;
//
if (nextDataValue < min_value) min_value = nextDataValue;
if (nextDataValue > max_value) max_value = nextDataValue;
//
if (datas.size() == 1 || nb_value == datas.size() / 2) median = nextDataValue.toString();
//
if ( ! iter.hasNext()) {
startTime = sdf.format(new Date((Long)nextData.getP2())).toString();
start_time_value = (Long)nextData.getP2();
}
if (nb_value == 0) {
endTime = sdf.format(new Date((Long)nextData.getP2())).toString();
end_time_value = (Long)nextData.getP2();
}
}
else {
nb_of_null++;
}
nb_value++;
}
//
max = max_value == Double.MIN_VALUE ? "NA" : max_value.toString();
min = min_value == Double.MAX_VALUE ? "NA" : min_value.toString();
nb = nb_value.toString();
average_value = (Double)(sum_value / nb_value);
average = average_value.toString();
nbOfNull = nb_of_null.toString();
//
if (datas.size() > 1) {
sampling_average_value = (end_time_value - start_time_value) / (nb_value - 1);
samplingAverage = Helpers.formatTimePeriod(sampling_average_value);
}
//
iter = datas.iterator();
Double variance_value = 0.0;
Double sampling_variance_value = 0.0;
Long lastDataTime = end_time_value;
int i = 0;
while (iter.hasNext()) {
nextData = iter.next();
if (nextData.getValue() != null) {
nextDataValue = (Double) nextData.getValue();
variance_value += Math.pow((average_value - nextDataValue), 2);
if (i > 0) {
sampling_variance_value += Math.pow((sampling_average_value - ((lastDataTime - (Long) nextData.getP2()))), 2);
lastDataTime = (Long) nextData.getP2();
}
i++;
}
}
stdDeviation = ((Double)Math.sqrt(variance_value)).toString();
if (datas.size() > 1) {
Double sampling_std_deviation = (Double)Math.sqrt(sampling_variance_value);
samplingStdDeviation = Helpers.formatTimePeriod(sampling_std_deviation.longValue());
}
}
this.setVariableValue("max", max); // ok
this.setVariableValue("min", min); // ok
this.setVariableValue("average", average); // ok
this.setVariableValue("stdDeviation", stdDeviation); // ok
this.setVariableValue("median", median); // ok
this.setVariableValue("nb", nb); // ok
this.setVariableValue("startTime", startTime); // ok
this.setVariableValue("endTime", endTime); // ok
this.setVariableValue("samplingAverage", samplingAverage); // ok
this.setVariableValue("nbOfNull", nbOfNull); // ok
this.setVariableValue("samplingStdDeviation", samplingStdDeviation); // ok
}
}