org.omscentral.modules.analysis.esp.EnsembleData Maven / Gradle / Ivy
package org.omscentral.modules.analysis.esp;
import java.util.ArrayList;
public class EnsembleData {
static public int VOLUME = 1;
static public int PEAK = 2;
static public int YEAR = 3;
private TimeSeriesCookie initialization; // contains data for plotting
private ArrayList forecasts; // array of TimeSeries with data for plotting
private ArrayList historic; // array of TimeSeries with no data; used to keep track of historic years
private ArrayList input; // array of TimeSeries with no data; used to keep track of input files
private ArrayList output; // array of TimeSeries with init + forecast data for analysis
private ArrayList stats; // array of EnsembleListLabel
private ArrayList statsInVolumeOrder;
private ArrayList statsInPeakOrder;
private String name;
private int sortOrder = VOLUME;
public EnsembleData(String name, ESPTimeSeries initialization,
ArrayList forecasts, ArrayList output, ArrayList historic) {
this.name = name;
this.initialization = initialization;
this.historic = historic;
this.output = output;
setForecasts(forecasts);
}
public EnsembleData(String name, ESPTimeSeries init, ArrayList forecasts, ArrayList historic) {
this.name = name;
this.initialization = init;
this.historic = historic;
setForecasts(forecasts);
}
private void PROCESS_trace(ModelDateTime analysisStart, ModelDateTime analysisEnd) {
// int analysis_dateCount = (int)(analysisEnd.getJulian() - analysisStart.getJulian()) + 1;
for (int j = 0; j < forecasts.size(); j++) {
EnsembleListLabel ts = (stats.get(j));
ESPTimeSeries trace = (output.get(j));
double[] trace_data = trace.getVals();
double[] trace_dates = trace.getDates();
ts.setTraceVolume(0.0);
ts.setTracePeak(0.0);
// danger: Olaf changed this!!!!!!!!!!!!!
int offset = (int)(analysisStart.getJulian()) - (int)(trace.getStart().getJulian())-1;
int length = (int)(analysisEnd.getJulian()) - (int)(analysisStart.getJulian());
// System.out.println("length " + length + " offset " + offset + " trace.length " + trace_data.length + " " +
// trace);
for (int k = 0; k < length; k++) {
double tmp = trace_data[k + offset];
ts.setTraceVolume(tmp + ts.getTraceVolume());
if (ts.getTracePeak() < tmp) {
ts.setTracePeak(tmp);
ts.setTimeToPeak(trace_dates[k + offset]);
}
}
}
statsInVolumeOrder = new ArrayList (stats.size());
statsInPeakOrder = new ArrayList (stats.size());
/*
* Make copies
*/
for (int i = 0; i < stats.size(); i++) {
statsInVolumeOrder.add(i, stats.get(i));
statsInPeakOrder.add(i, stats.get(i));
}
sort(statsInVolumeOrder, statsInPeakOrder);
}
public static void sort(ArrayList statsInVolumeOrder,
ArrayList statsInPeakOrder) {
/*
* Sort by volumes
*/
for (int i = 0; i < statsInVolumeOrder.size() - 1; i++) {
EnsembleListLabel tsi = (statsInVolumeOrder.get(i));
for (int j = i+1; j < statsInVolumeOrder.size(); j++) {
EnsembleListLabel tsj = (statsInVolumeOrder.get(j));
if (tsj.getTraceVolume() > tsi.getTraceVolume()) {
statsInVolumeOrder.set(j, tsi);
statsInVolumeOrder.set(i, tsj);
tsi = tsj;
}
}
}
/*
* Generate volume probabilities
* Formula is P = (100.0) m / (n + 1.0) (Linsley, Kohler, and Paulhus page 249)
*/
double n = (double)(statsInVolumeOrder.size() + 1);
for (int i = 0; i < statsInVolumeOrder.size(); i++) {
double m = (double)(i + 1);
EnsembleListLabel tsi = (statsInVolumeOrder.get(i));
double prob = 100 * m / n;
tsi.setVolumeRank(i+1);
tsi.setActVolumeProb(prob);
tsi.setRoundVolumeProb(fivePercentRound(prob));
}
/*
System.out.println("\nVolume");
for (int i = 0; i < stats.size(); i++) {
EnsembleListLabel tsi = (EnsembleListLabel)(statsInVolumeOrder.get(i));
System.out.println ("EnsembleData.Sort statsInVolumeOrder = " + tsi + " volume = " + tsi.getTraceVolume() + " peak = " + tsi.getTracePeak() + " time to peak = " + tsi.getTimeToPeak());
}
*/
/*
* Sort by peak
*/
for (int i = 0; i < statsInPeakOrder.size() - 1; i++) {
EnsembleListLabel tsi = (statsInPeakOrder.get(i));
for (int j = i+1; j < statsInPeakOrder.size(); j++) {
EnsembleListLabel tsj = (statsInPeakOrder.get(j));
if (tsj.getTracePeak() > tsi.getTracePeak()) {
statsInPeakOrder.set(j, tsi);
statsInPeakOrder.set(i, tsj);
tsi = tsj;
}
}
}
/*
System.out.println("\nPeak");
for (int i = 0; i < stats.size(); i++) {
EnsembleListLabel tsi = (EnsembleListLabel)(statsInPeakOrder.get(i));
System.out.println ("EnsembleData.Sort statsInPeakOrder = " + tsi + " volume = " + tsi.getTraceVolume() + " peak = " + tsi.getTracePeak() + " time to peak = " + tsi.getTimeToPeak());
}
*/
/*
* Generate peak probabilities
* Formula is P = (100.0) m / (n + 1.0) (Linsley, Kohler, and Paulhus page 249)
*/
n = (double)(statsInPeakOrder.size() + 1);
for (int i = 0; i < statsInPeakOrder.size(); i++) {
double m = (double)(i + 1);
EnsembleListLabel tsi = statsInPeakOrder.get(i);
double prob = 100 * m / n;
tsi.setPeakRank(i+1);
tsi.setActPeakProb(prob);
tsi.setRoundPeakProb(fivePercentRound(prob));
}
}
public static double fivePercentRound(double p) {
if (p > 92.5) {
return (95.0);
} else if (p > 87.5) {
return (90.0);
} else if (p > 82.5) {
return (85.0);
} else if (p > 77.5) {
return (80.0);
} else if (p > 72.5) {
return (75.0);
} else if (p > 67.5) {
return (70.0);
} else if (p > 62.5) {
return (65.0);
} else if (p > 57.5) {
return (60.0);
} else if (p > 52.5) {
return (55.0);
} else if (p > 47.5) {
return (50.0);
} else if (p > 42.5) {
return (45.0);
} else if (p > 37.5) {
return (40.0);
} else if (p > 32.5) {
return (35.0);
} else if (p > 27.5) {
return (30.0);
} else if (p > 22.5) {
return (25.0);
} else if (p > 17.5) {
return (20.0);
} else if (p > 12.5) {
return (15.0);
} else if (p > 7.5) {
return (10.0);
} else {
return (5.0);
}
}
public ModelDateTime getInitializationStart() {
return this.initialization.getStart();
}
public ModelDateTime getInitializationEnd() {
return this.initialization.getEnd();
}
public ModelDateTime getForecastStart() {
ESPTimeSeries forecast = forecasts.get(0);
return forecast.getStart();
}
public ModelDateTime getForecastEnd() {
ESPTimeSeries forecast = forecasts.get(0);
return forecast.getEnd();
}
public TimeSeriesCookie getInitialization() {
return this.initialization;
}
public void setInitialization(TimeSeriesCookie initialization) {
this.initialization = initialization;
}
public ArrayList getHistoric() {
return this.historic;
}
public void setHistoric(ArrayList historic) {
this.historic = historic;
}
public String getName() {
return this.name;
}
public void setName(String name) {
this.name = name;
}
public ArrayList getForecasts() {
return this.forecasts;
}
public void setForecasts(ArrayList forecasts) {
this.forecasts = forecasts;
if (forecasts != null) {
int size = forecasts.size();
this.stats = new ArrayList(size);
for (int i = 0; i < size; i++) {
ESPTimeSeries ts = forecasts.get(i);
this.stats.add(new EnsembleListLabel(ts, this));
}
}
}
public ArrayList getInput() {
return this.input;
}
/**
* Setter for property input.
* @param input New value of property input.
*/
public void setInput(ArrayList input) {
this.input = input;
}
/**
* Getter for property output.
* @return Value of property output.
*/
public ArrayList getOutput() {
return this.output;
}
/**
* Setter for property output.
* @param output New value of property output.
*/
public void setOutput(ArrayList output) {
this.output = output;
}
public void setAnalysisPeriod(ModelDateTime start_date, ModelDateTime end_date) {
PROCESS_trace(start_date, end_date);
}
/**
* Getter for property stats.
* @return Value of property stats.
*/
public ArrayList getStats() {
return this.stats;
}
/**
* Getter for property statsInVolumeOrder.
* @return Value of property statsInVolumeOrder.
*/
public ArrayList getStatsInVolumeOrder() {
return this.statsInVolumeOrder;
}
/**
* Getter for property statsInPeakOrder.
* @return Value of property statsInPeakOrder.
*/
public ArrayList getStatsInPeakOrder() {
return this.statsInPeakOrder;
}
// public static EnsembleData load (String file_name) {
// EnsembleData ed = null;
//
// try {
// DocumentBuilderFactory factory = DocumentBuilderFactory.newInstance();
// factory.setNamespaceAware(true);
// DocumentBuilder builder = factory.newDocumentBuilder();
// Document doc = builder.parse(file_name);
//
// Node node = OuiProjectXml.selectSingleNode(doc, "/ESP");
// ed = new EnsembleData(OuiProjectXml.getElementContent(node, "@name", null), null, null, null);
//
//
///*
// * Read ESP meta data from the xml file
// */
// ed.setInitialization(TimeSeries.getTimeSeriesFromXmlNode(OuiProjectXml.selectSingleNode(doc, "/ESP/initialization/TimeSeries")));
//// initialization.dump();
//
// ed.setHistoric(getArrayListFromXmlNode (OuiProjectXml.selectSingleNode(doc, "/ESP/historic")));
// ed.setInput(getArrayListFromXmlNode (OuiProjectXml.selectSingleNode(doc, "/ESP/input")));
// ed.setOutput(getArrayListFromXmlNode (OuiProjectXml.selectSingleNode(doc, "/ESP/output")));
// ed.setForecasts(getArrayListFromXmlNode (OuiProjectXml.selectSingleNode(doc, "/ESP/forecasts")));
///*
// * Read the trace data
// */
// MmsOuiEspReader.readEsp(ed);
//
// } catch (Exception E) {
// System.err.println(E.getMessage());
// }
//
// return ed;
// }
//
// public static ArrayList getArrayListFromXmlNode (Node node) {
// NodeList nl = OuiProjectXml.selectNodes(node, "TimeSeries");
//
// ArrayList al = new ArrayList(nl.getLength());
// for (int i = 0; i < nl.getLength(); i++) {
// TimeSeries ts = TimeSeries.getTimeSeriesFromXmlNode(nl.item(i));
//// ts.dump();
// al.add(i, ts);
// }
//
// return al;
// }
//
// public void save (String file_name) {
// Format format = new Format("%.2f");
// PrintWriter out = null;
//
// System.out.println ("EnsembleData.save: writing file " + file_name);
//
// try {
// out = new PrintWriter(new FileWriter(file_name));
//
// out.println ("");
// out.println ("");
//
// out.println (" ");
// out.println (" " + initialization.getXmlBlock());
// out.println (" ");
//
// writeArrayListBlock(out, "forecasts", forecasts);
// writeArrayListBlock(out, "historic", historic);
// writeArrayListBlock(out, "input", input);
// writeArrayListBlock(out, "output", output);
//
// out.println (" ");
//
// } catch (Exception e) {
// e.printStackTrace();
//
// } finally {
// if (out!= null) out.close();
// }
// }
// private void writeArrayListBlock(PrintWriter out, String name, ArrayList list) {
// out.println(" <" + name + ">");
// Iterator it = list.iterator();
// while (it.hasNext()) {
// TimeSeries ts = (TimeSeries)(it.next());
// out.println(" " + ts.getXmlBlock());
// }
// out.println(" ");
// }
/**
* Getter for property sortOrder.
* @return Value of property sortOrder.
*/
public int getSortOrder() {
return this.sortOrder;
}
/**
* Setter for property sortOrder.
* @param sortOrder New value of property sortOrder.
*/
public void setSortOrder(int sortOrder) {
this.sortOrder = sortOrder;
}
}
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