| 1 | /* |
| 2 | * Copyright (c) 2001-2009, Jean Tessier |
| 3 | * All rights reserved. |
| 4 | * |
| 5 | * Redistribution and use in source and binary forms, with or without |
| 6 | * modification, are permitted provided that the following conditions |
| 7 | * are met: |
| 8 | * |
| 9 | * * Redistributions of source code must retain the above copyright |
| 10 | * notice, this list of conditions and the following disclaimer. |
| 11 | * |
| 12 | * * Redistributions in binary form must reproduce the above copyright |
| 13 | * notice, this list of conditions and the following disclaimer in the |
| 14 | * documentation and/or other materials provided with the distribution. |
| 15 | * |
| 16 | * * Neither the name of Jean Tessier nor the names of his contributors |
| 17 | * may be used to endorse or promote products derived from this software |
| 18 | * without specific prior written permission. |
| 19 | * |
| 20 | * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS |
| 21 | * "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT |
| 22 | * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR |
| 23 | * A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE REGENTS OR |
| 24 | * CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, |
| 25 | * EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, |
| 26 | * PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR |
| 27 | * PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF |
| 28 | * LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING |
| 29 | * NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS |
| 30 | * SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. |
| 31 | */ |
| 32 | |
| 33 | package com.jeantessier.metrics; |
| 34 | |
| 35 | import java.io.*; |
| 36 | |
| 37 | import org.apache.log4j.*; |
| 38 | |
| 39 | /** |
| 40 | * <p>Divides one measurement (base) by another (divider). Both |
| 41 | * must be in the same context.</p> |
| 42 | * |
| 43 | * <p>This is the syntax for initializing this type of |
| 44 | * measurement:</p> |
| 45 | * |
| 46 | * <pre> |
| 47 | * <init> |
| 48 | * base measurement name [DISPOSE_x] |
| 49 | * divider measurement name [DISPOSE_x] |
| 50 | * </init> |
| 51 | * </pre> |
| 52 | * |
| 53 | * <p>If either is missing, this measurement will be NaN.</p> |
| 54 | */ |
| 55 | public class RatioMeasurement extends MeasurementBase { |
| 56 | private String baseName; |
| 57 | private int baseDispose; |
| 58 | private String dividerName; |
| 59 | private int dividerDispose; |
| 60 | |
| 61 | private double value = 0.0; |
| 62 | |
| 63 | public RatioMeasurement(MeasurementDescriptor descriptor, Metrics context, String initText) { |
| 64 | super(descriptor, context, initText); |
| 65 | |
| 66 | try { |
| 67 | BufferedReader in = new BufferedReader(new StringReader(initText)); |
| 68 | |
| 69 | synchronized (perl()) { |
| 70 | baseName = in.readLine().trim(); |
| 71 | if (perl().match("/(.*)\\s+(dispose_\\w+)$/i", baseName)) { |
| 72 | baseName = perl().group(1); |
| 73 | |
| 74 | String disposeText = perl().group(2); |
| 75 | |
| 76 | if (disposeText.equalsIgnoreCase("DISPOSE_IGNORE")) { |
| 77 | baseDispose = StatisticalMeasurement.DISPOSE_IGNORE; |
| 78 | } else if (disposeText.equalsIgnoreCase("DISPOSE_MINIMUM")) { |
| 79 | baseDispose = StatisticalMeasurement.DISPOSE_MINIMUM; |
| 80 | } else if (disposeText.equalsIgnoreCase("DISPOSE_MEDIAN")) { |
| 81 | baseDispose = StatisticalMeasurement.DISPOSE_MEDIAN; |
| 82 | } else if (disposeText.equalsIgnoreCase("DISPOSE_AVERAGE")) { |
| 83 | baseDispose = StatisticalMeasurement.DISPOSE_AVERAGE; |
| 84 | } else if (disposeText.equalsIgnoreCase("DISPOSE_STANDARD_DEVIATION")) { |
| 85 | baseDispose = StatisticalMeasurement.DISPOSE_STANDARD_DEVIATION; |
| 86 | } else if (disposeText.equalsIgnoreCase("DISPOSE_MAXIMUM")) { |
| 87 | baseDispose = StatisticalMeasurement.DISPOSE_MAXIMUM; |
| 88 | } else if (disposeText.equalsIgnoreCase("DISPOSE_SUM")) { |
| 89 | baseDispose = StatisticalMeasurement.DISPOSE_SUM; |
| 90 | } else if (disposeText.equalsIgnoreCase("DISPOSE_NB_DATA_POINTS")) { |
| 91 | baseDispose = StatisticalMeasurement.DISPOSE_NB_DATA_POINTS; |
| 92 | } else { |
| 93 | baseDispose = StatisticalMeasurement.DISPOSE_IGNORE; |
| 94 | } |
| 95 | } else { |
| 96 | baseDispose = StatisticalMeasurement.DISPOSE_IGNORE; |
| 97 | } |
| 98 | |
| 99 | dividerName = in.readLine().trim(); |
| 100 | if (perl().match("/(.*)\\s+(dispose_\\w+)$/i", dividerName)) { |
| 101 | dividerName = perl().group(1); |
| 102 | |
| 103 | String disposeText = perl().group(2); |
| 104 | |
| 105 | if (disposeText.equalsIgnoreCase("DISPOSE_IGNORE")) { |
| 106 | dividerDispose = StatisticalMeasurement.DISPOSE_IGNORE; |
| 107 | } else if (disposeText.equalsIgnoreCase("DISPOSE_MINIMUM")) { |
| 108 | dividerDispose = StatisticalMeasurement.DISPOSE_MINIMUM; |
| 109 | } else if (disposeText.equalsIgnoreCase("DISPOSE_MEDIAN")) { |
| 110 | dividerDispose = StatisticalMeasurement.DISPOSE_MEDIAN; |
| 111 | } else if (disposeText.equalsIgnoreCase("DISPOSE_AVERAGE")) { |
| 112 | dividerDispose = StatisticalMeasurement.DISPOSE_AVERAGE; |
| 113 | } else if (disposeText.equalsIgnoreCase("DISPOSE_STANDARD_DEVIATION")) { |
| 114 | dividerDispose = StatisticalMeasurement.DISPOSE_STANDARD_DEVIATION; |
| 115 | } else if (disposeText.equalsIgnoreCase("DISPOSE_MAXIMUM")) { |
| 116 | dividerDispose = StatisticalMeasurement.DISPOSE_MAXIMUM; |
| 117 | } else if (disposeText.equalsIgnoreCase("DISPOSE_SUM")) { |
| 118 | dividerDispose = StatisticalMeasurement.DISPOSE_SUM; |
| 119 | } else if (disposeText.equalsIgnoreCase("DISPOSE_NB_DATA_POINTS")) { |
| 120 | dividerDispose = StatisticalMeasurement.DISPOSE_NB_DATA_POINTS; |
| 121 | } else { |
| 122 | dividerDispose = StatisticalMeasurement.DISPOSE_IGNORE; |
| 123 | } |
| 124 | } else { |
| 125 | dividerDispose = StatisticalMeasurement.DISPOSE_IGNORE; |
| 126 | } |
| 127 | } |
| 128 | |
| 129 | in.close(); |
| 130 | } catch (Exception ex) { |
| 131 | Logger.getLogger(getClass()).debug("Cannot initialize with \"" + initText + "\"", ex); |
| 132 | baseName = null; |
| 133 | dividerName = null; |
| 134 | } |
| 135 | } |
| 136 | |
| 137 | public String getBaseName() { |
| 138 | return baseName; |
| 139 | } |
| 140 | |
| 141 | public int getBaseDispose() { |
| 142 | return baseDispose; |
| 143 | } |
| 144 | |
| 145 | public String getDividerName() { |
| 146 | return dividerName; |
| 147 | } |
| 148 | |
| 149 | public int getDividerDispose() { |
| 150 | return dividerDispose; |
| 151 | } |
| 152 | |
| 153 | public void accept(MeasurementVisitor visitor) { |
| 154 | visitor.visitRatioMeasurement(this); |
| 155 | } |
| 156 | |
| 157 | public boolean isEmpty() { |
| 158 | if (!isCached()) { |
| 159 | compute(); |
| 160 | } |
| 161 | |
| 162 | return super.isEmpty(); |
| 163 | } |
| 164 | |
| 165 | protected double compute() { |
| 166 | if (!isCached()) { |
| 167 | value = Double.NaN; |
| 168 | |
| 169 | if (getContext() != null && getBaseName() != null && getDividerName() != null) { |
| 170 | Measurement base = getContext().getMeasurement(getBaseName()); |
| 171 | Measurement divider = getContext().getMeasurement(getDividerName()); |
| 172 | |
| 173 | double baseValue = Double.NaN; |
| 174 | double dividerValue = Double.NaN; |
| 175 | |
| 176 | if (base instanceof StatisticalMeasurement) { |
| 177 | StatisticalMeasurement stats = (StatisticalMeasurement) base; |
| 178 | |
| 179 | switch (getBaseDispose()) { |
| 180 | case StatisticalMeasurement.DISPOSE_MINIMUM: |
| 181 | baseValue = stats.getMinimum(); |
| 182 | break; |
| 183 | case StatisticalMeasurement.DISPOSE_MEDIAN: |
| 184 | baseValue = stats.getMedian(); |
| 185 | break; |
| 186 | case StatisticalMeasurement.DISPOSE_AVERAGE: |
| 187 | baseValue = stats.getAverage(); |
| 188 | break; |
| 189 | case StatisticalMeasurement.DISPOSE_STANDARD_DEVIATION: |
| 190 | baseValue = stats.getStandardDeviation(); |
| 191 | break; |
| 192 | case StatisticalMeasurement.DISPOSE_MAXIMUM: |
| 193 | baseValue = stats.getMaximum(); |
| 194 | break; |
| 195 | case StatisticalMeasurement.DISPOSE_SUM: |
| 196 | baseValue = stats.getSum(); |
| 197 | break; |
| 198 | case StatisticalMeasurement.DISPOSE_NB_DATA_POINTS: |
| 199 | baseValue = stats.getNbDataPoints(); |
| 200 | break; |
| 201 | case StatisticalMeasurement.DISPOSE_IGNORE: |
| 202 | default: |
| 203 | baseValue = stats.getValue().doubleValue(); |
| 204 | break; |
| 205 | } |
| 206 | } else if (base != null) { |
| 207 | baseValue = base.getValue().doubleValue(); |
| 208 | } |
| 209 | |
| 210 | if (divider instanceof StatisticalMeasurement) { |
| 211 | StatisticalMeasurement stats = (StatisticalMeasurement) divider; |
| 212 | |
| 213 | switch (getDividerDispose()) { |
| 214 | case StatisticalMeasurement.DISPOSE_MINIMUM: |
| 215 | dividerValue = stats.getMinimum(); |
| 216 | break; |
| 217 | case StatisticalMeasurement.DISPOSE_MEDIAN: |
| 218 | dividerValue = stats.getMedian(); |
| 219 | break; |
| 220 | case StatisticalMeasurement.DISPOSE_AVERAGE: |
| 221 | dividerValue = stats.getAverage(); |
| 222 | break; |
| 223 | case StatisticalMeasurement.DISPOSE_STANDARD_DEVIATION: |
| 224 | dividerValue = stats.getStandardDeviation(); |
| 225 | break; |
| 226 | case StatisticalMeasurement.DISPOSE_MAXIMUM: |
| 227 | dividerValue = stats.getMaximum(); |
| 228 | break; |
| 229 | case StatisticalMeasurement.DISPOSE_SUM: |
| 230 | dividerValue = stats.getSum(); |
| 231 | break; |
| 232 | case StatisticalMeasurement.DISPOSE_NB_DATA_POINTS: |
| 233 | dividerValue = stats.getNbDataPoints(); |
| 234 | break; |
| 235 | case StatisticalMeasurement.DISPOSE_IGNORE: |
| 236 | default: |
| 237 | dividerValue = stats.getValue().doubleValue(); |
| 238 | break; |
| 239 | } |
| 240 | } else if (divider != null) { |
| 241 | dividerValue = divider.getValue().doubleValue(); |
| 242 | } |
| 243 | |
| 244 | value = baseValue / dividerValue; |
| 245 | } |
| 246 | |
| 247 | setEmpty(Double.isNaN(value) || Double.isInfinite(value)); |
| 248 | |
| 249 | setCached(true); |
| 250 | } |
| 251 | |
| 252 | return value; |
| 253 | } |
| 254 | } |