| 1 | package de.uka.ipd.sdq.sensorframework.adapter; |
| 2 | |
| 3 | import de.uka.ipd.sdq.codegen.simudatavisualisation.datatypes.Histogram; |
| 4 | import de.uka.ipd.sdq.codegen.simudatavisualisation.datatypes.HistogramBucketInformation; |
| 5 | import de.uka.ipd.sdq.codegen.simudatavisualisation.datatypes.TimeSeries; |
| 6 | import de.uka.ipd.sdq.sensorframework.entities.SensorAndMeasurements; |
| 7 | |
| 8 | /**Adapter for TimeSpanSensors to Quantiles. |
| 9 | * @author groenda |
| 10 | */ |
| 11 | public class TimeSpanToQuantilAdapter extends DataAdapter { |
| 12 | |
| 13 | /** The property "first value below". */ |
| 14 | private static final String FIRST_VALUE_BELOW = "FIRST_VALUE_BELOW"; |
| 15 | /** The property "quantile". */ |
| 16 | private static final String QUANTIL = "QUANTIL"; |
| 17 | /** Default quantile to use. */ |
| 18 | private static final double DEFAULT_QUANTIL = 0.9; |
| 19 | /** Factor to use for the histogram for correct scaling of qunatiles. */ |
| 20 | private static final double QUANTILE_FACTOR = 0.001; |
| 21 | /** Information about the TimeSpanSensor and the measurements. */ |
| 22 | private SensorAndMeasurements samInformation; |
| 23 | |
| 24 | /**Initializes the adapter with the provided TimeSpanSensor. |
| 25 | * @param samInformation Information about the TimeSpanSensor and the |
| 26 | * measurements. |
| 27 | */ |
| 28 | public TimeSpanToQuantilAdapter( |
| 29 | final SensorAndMeasurements samInformation) { |
| 30 | super(); |
| 31 | this.samInformation = samInformation; |
| 32 | adapterProperties.put(FIRST_VALUE_BELOW, true); |
| 33 | adapterProperties.put(QUANTIL, DEFAULT_QUANTIL); |
| 34 | } |
| 35 | |
| 36 | /** {@inheritDoc} |
| 37 | */ |
| 38 | public Object getAdaptedObject() { |
| 39 | TimeSpanToHistogramAdapter tstha = |
| 40 | new TimeSpanToHistogramAdapter(samInformation); |
| 41 | tstha.getProperties().put("HISTOGRAM_WIDTH", |
| 42 | new Double(QUANTILE_FACTOR)); |
| 43 | Histogram hist = (Histogram) tstha.getAdaptedObject(); |
| 44 | |
| 45 | TimeSeries series = new TimeSeries( |
| 46 | samInformation.getSensor().getSensorName()); |
| 47 | |
| 48 | int counter = 0; |
| 49 | double sum = 0.0; |
| 50 | for (HistogramBucketInformation he : hist.getBucketInformation()) { |
| 51 | sum += he.getProbability(); |
| 52 | if (sum >= (Double) adapterProperties.get(QUANTIL)) { |
| 53 | if ((Boolean) adapterProperties.get(FIRST_VALUE_BELOW) |
| 54 | && counter > 0) { |
| 55 | // get the former histogram entity |
| 56 | he = hist.getBucketInformation().get(counter - 1); |
| 57 | } |
| 58 | series.add(samInformation.getSensor().getSensorID(), |
| 59 | he.getValue()); |
| 60 | return series; |
| 61 | } |
| 62 | counter++; |
| 63 | } |
| 64 | return series; |
| 65 | } |
| 66 | } |