| 1 | package de.uka.ipd.sdq.sensorframework.adapter; |
| 2 | |
| 3 | import java.util.ArrayList; |
| 4 | import java.util.HashMap; |
| 5 | |
| 6 | import de.uka.ipd.sdq.codegen.simudatavisualisation.datatypes.Histogram; |
| 7 | import de.uka.ipd.sdq.codegen.simudatavisualisation.datatypes.HistogramBucketInformation; |
| 8 | import de.uka.ipd.sdq.sensorframework.entities.Measurement; |
| 9 | import de.uka.ipd.sdq.sensorframework.entities.SensorAndMeasurements; |
| 10 | |
| 11 | /**Adapter for TimeSpanSensors to Histograms. |
| 12 | * @author groenda |
| 13 | */ |
| 14 | public class TimeSpanToThroughputHistogramAdapter extends DataAdapter { |
| 15 | |
| 16 | /** Width of the histogram classes. */ |
| 17 | public static final String HISTOGRAM_WIDTH = "HISTOGRAM_WIDTH"; |
| 18 | /** Width of the time span. */ |
| 19 | private static final String TIME_SPAN_WIDTH = "TIME_SPAN_WIDTH"; |
| 20 | /** Default width of the time span. */ |
| 21 | private static final double DEFAULT_TIME_SPAN_WIDTH = 10.0; |
| 22 | |
| 23 | /** Information about the TimeSpanSensor and the measurements. */ |
| 24 | private SensorAndMeasurements samInformation; |
| 25 | |
| 26 | /**Initializes the adapter with the provided TimeSpanSensor. |
| 27 | * @param samInformation Information about the TimeSpanSensor |
| 28 | * and the measurements. |
| 29 | */ |
| 30 | public TimeSpanToThroughputHistogramAdapter( |
| 31 | final SensorAndMeasurements samInformation) { |
| 32 | super(); |
| 33 | this.samInformation = samInformation; |
| 34 | this.adapterProperties.put(HISTOGRAM_WIDTH, Histogram.DEFAULT_BUCKET_WIDTH); |
| 35 | this.adapterProperties.put(TIME_SPAN_WIDTH, DEFAULT_TIME_SPAN_WIDTH); |
| 36 | } |
| 37 | |
| 38 | /** {@inheritDoc} |
| 39 | */ |
| 40 | public Object getAdaptedObject() { |
| 41 | throw new RuntimeException("Is not correctly implemented."); |
| 42 | |
| 43 | // int maxHistClass = 0; |
| 44 | // HashMap<Integer, Integer> map = new HashMap<Integer, Integer>(); |
| 45 | // double histWidth = (Double) adapterProperties.get(HISTOGRAM_WIDTH); |
| 46 | // double spanLenght = (Double) ( |
| 47 | // adapterProperties.get(TIME_SPAN_WIDTH) == null |
| 48 | // ? DEFAULT_TIME_SPAN_WIDTH |
| 49 | // : adapterProperties.get(TIME_SPAN_WIDTH)); |
| 50 | // if (histWidth == 0) { |
| 51 | // throw new RuntimeException("Histogram width must be > 0"); |
| 52 | // } |
| 53 | // Histogram hist = |
| 54 | // new Histogram(samInformation.getSensor().getSensorName()); |
| 55 | // ArrayList<Integer> count = new ArrayList<Integer>(); |
| 56 | // int currentCount = 0; |
| 57 | // double currentTime = 0; |
| 58 | // double nextLimit = spanLenght; |
| 59 | // boolean first = true; |
| 60 | // for (Measurement m : samInformation.getMeasurements()) { |
| 61 | // currentTime = m.getEventTime(); |
| 62 | // if (first) { |
| 63 | // nextLimit += currentTime; |
| 64 | // first = false; |
| 65 | // } |
| 66 | // if (currentTime < nextLimit) { |
| 67 | // currentCount++; |
| 68 | // } else { |
| 69 | // count.add(currentCount); |
| 70 | // currentCount = 1; |
| 71 | // nextLimit += spanLenght; |
| 72 | // } |
| 73 | // } |
| 74 | // for (Integer singleCount : count) { |
| 75 | // int histogramClass = (int) ((singleCount + histWidth / 2) |
| 76 | // / histWidth); |
| 77 | // Object o = map.get(histogramClass); |
| 78 | // if (o != null) { |
| 79 | // Integer oldValue = (Integer) o; |
| 80 | // map.put(histogramClass, oldValue + 1); |
| 81 | // } else { |
| 82 | // map.put(histogramClass, 1); |
| 83 | // } |
| 84 | // if (maxHistClass < histogramClass) { |
| 85 | // maxHistClass = histogramClass; |
| 86 | // } |
| 87 | // } |
| 88 | // boolean firstValueFound = false; |
| 89 | // for (int i = 0; i <= maxHistClass; i++) { |
| 90 | // Object o = map.get(i); |
| 91 | // if (o != null) { |
| 92 | // firstValueFound = true; |
| 93 | // hist.addEntity(new HistogramBucketInformation((Integer) o |
| 94 | // / (double) samInformation.getMeasurements().size(), |
| 95 | // i * histWidth)); |
| 96 | // } else { |
| 97 | // if (firstValueFound) { |
| 98 | // hist.addEntity(new HistogramBucketInformation(0.0, |
| 99 | // i * histWidth)); |
| 100 | // } |
| 101 | // } |
| 102 | // } |
| 103 | // return hist; |
| 104 | } |
| 105 | } |