Mercurial > dive4elements > gnv-client
annotate gnv-artifacts/src/main/java/de/intevation/gnv/statistics/TimeseriesStatistics.java @ 593:b248531fa20b
Added experimental support for extrapolation in "Horizontalschnitte"
gnv-artifacts/trunk@648 c6561f87-3c4e-4783-a992-168aeb5c3f6f
author | Sascha L. Teichmann <sascha.teichmann@intevation.de> |
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date | Sun, 31 Jan 2010 21:50:15 +0000 |
parents | 04cfb4e3da4f |
children | b1f5f2a8840f |
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1 /** |
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2 * Title: TimeseriesStatistics, $Header: /share/gdi/SDI-Suite/Repository/projekte/BSH-GDI/genericViewer/src/main/java/de/conterra/bsh/gdi/gnviewer/output/statistics/TimeseriesStatistics.java,v 1.3 2008/08/18 14:50:33 drewnak Exp $ |
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3 * Source: $Source: /share/gdi/SDI-Suite/Repository/projekte/BSH-GDI/genericViewer/src/main/java/de/conterra/bsh/gdi/gnviewer/output/statistics/TimeseriesStatistics.java,v $ |
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4 * created by: Stefan Blume (blume) |
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5 * erstellt am: 06.12.2007 |
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6 * Copyright: con terra GmbH, 2005 |
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7 * |
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8 * modified by: $Author: drewnak $ |
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9 * modified on: $Date: 2008/08/18 14:50:33 $ |
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10 * Version: $Revision: 1.3 $ |
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11 * TAG: $Name: $ |
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12 * locked from: $Locker: $ |
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13 * CVS State: $State: Exp $ |
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14 * Project: $ProjectName$ |
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15 */ |
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16 package de.intevation.gnv.statistics; |
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17 |
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18 import java.sql.SQLException; |
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19 import java.util.ArrayList; |
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20 import java.util.Collection; |
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21 import java.util.Iterator; |
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22 |
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23 import org.apache.commons.math.stat.descriptive.DescriptiveStatistics; |
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24 import org.apache.commons.math.stat.regression.SimpleRegression; |
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25 import org.apache.log4j.Logger; |
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26 |
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27 import de.intevation.gnv.geobackend.base.Result; |
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28 import de.intevation.gnv.geobackend.base.ResultDescriptor; |
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29 import de.intevation.gnv.state.describedata.KeyValueDescibeData; |
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30 import de.intevation.gnv.statistics.exception.StatisticsException; |
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31 |
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32 /** |
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33 * The class <code>TimeseriesStatistics</code> fulfills the following purposes: |
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34 * <ol> |
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35 * <li></li> |
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36 * </ol> |
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37 * |
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38 * @author blume |
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39 * @author Tim Englich <tim.englich@intevation.de> |
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40 * @version 1.0 |
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41 * @serial 1.0 |
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42 * @see |
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43 * @since 06.12.2007 18:02:27 |
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44 */ |
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45 public class TimeseriesStatistics |
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46 extends AbstractStatistics |
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47 { |
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48 |
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49 /** |
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50 * Default Logging instance |
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51 */ |
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52 private static Logger log = Logger.getLogger(TimeseriesStatistics.class); |
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53 |
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54 /** |
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55 * Constructor |
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56 */ |
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57 public TimeseriesStatistics() { |
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58 } |
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59 |
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60 /** |
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61 * @see de.intevation.gnv.statistics.Statistics#calculateStatistics(java.util.Collection, java.util.Collection, java.util.Collection, java.util.Collection) |
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62 */ |
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63 public Collection<StatisticSet> calculateStatistics( |
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64 Object result, |
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65 Collection<KeyValueDescibeData> parameters, |
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66 Collection<KeyValueDescibeData> measurements, |
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67 Collection<KeyValueDescibeData> dates |
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68 ) |
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69 throws StatisticsException { |
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70 |
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71 if (!(result instanceof Collection)) { |
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72 return new ArrayList<StatisticSet>(); |
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73 } |
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74 |
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75 Collection<Result> resultSet = (Collection<Result>)result; |
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76 |
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77 clearStatistics(); |
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78 |
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79 DescriptiveStatistics lStatistics = null; |
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80 SimpleRegression lRegression = null; |
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81 Collection<StatisticSet> statisticSets = new ArrayList<StatisticSet>(); |
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82 String break1, break2, break3; |
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83 int lSeries = 1; |
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84 |
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85 if (resultSet == null) { |
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86 return statisticSets; |
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87 } |
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88 |
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89 int b1Idx = -1; |
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90 int b2Idx = -1; |
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91 int b3Idx = -1; |
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92 int yIdx = -1; |
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93 try { |
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94 |
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95 Iterator<Result> resultIterator = resultSet.iterator(); |
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96 if (resultIterator.hasNext()) { |
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97 Result row = resultIterator.next(); |
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98 Result previousRow = row; |
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99 |
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100 if (b1Idx == -1) { |
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101 ResultDescriptor rd = row.getResultDescriptor(); |
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102 b1Idx = rd.getColumnIndex("GROUP1"); |
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103 b2Idx = rd.getColumnIndex("GROUP2"); |
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104 b3Idx = rd.getColumnIndex("GROUP3"); |
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105 yIdx = rd.getColumnIndex("YORDINATE"); |
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106 |
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107 if (b1Idx == -1 || b2Idx == -1 || b3Idx == -1 || yIdx == -1) { |
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108 return statisticSets; |
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109 } |
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110 } |
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111 break1 = row.getString(b1Idx); |
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112 break2 = row.getString(b2Idx); |
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113 break3 = row.getString(b3Idx); |
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114 lRegression = new SimpleRegression(); |
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115 lStatistics = new DescriptiveStatistics(); |
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116 while (resultIterator.hasNext()) { |
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117 |
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118 if (!break1.equals(row.getString(b1Idx)) |
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119 || !break2.equals(row.getString(b2Idx)) |
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120 || !break3.equals(row.getString(b3Idx)) |
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121 ) { |
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122 String statisticsName = generateStatisticsName( |
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123 break1, break2, |
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124 break3, parameters, |
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125 measurements, dates); |
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126 |
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127 statisticSets.add( |
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128 generateStatisticsValues( |
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129 lStatistics, |
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130 lRegression, |
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131 statisticsName)); |
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132 |
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133 lStatistics.clear(); |
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134 lRegression.clear(); |
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135 |
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136 clearStatistics(); |
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137 |
428
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138 Double yValue = row.getDouble(yIdx); |
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139 |
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140 if (yValue != null) { |
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141 lStatistics.addValue(yValue); |
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142 Double x = calculateXOrdinateValue(previousRow,row); |
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143 lRegression.addData(x, yValue); |
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144 } |
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145 |
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146 break1 = row.getString(b1Idx); |
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147 break2 = row.getString(b2Idx); |
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148 break3 = row.getString(b3Idx); |
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149 previousRow = row; |
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150 row = resultIterator.next(); |
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151 lSeries++; |
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152 } else { |
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153 |
428
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154 Double value = row.getDouble(yIdx); |
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155 if (value != null) { |
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156 lStatistics.addValue(value.doubleValue()); |
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157 Double x = calculateXOrdinateValue(previousRow,row); |
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158 lRegression.addData(x, value.doubleValue()); |
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159 } |
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160 previousRow = row; |
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161 row = resultIterator.next(); |
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162 } |
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163 |
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164 } |
428
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165 |
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166 Double yValue = row.getDouble(yIdx); |
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167 |
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168 if (yValue != null) { |
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169 lStatistics.addValue(yValue); |
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170 Double x = calculateXOrdinateValue(previousRow, row); |
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171 lRegression.addData(x, yValue); |
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172 } |
359
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173 |
428
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174 String statisticsName = generateStatisticsName( |
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175 break1, break2, |
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176 break3, parameters, |
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177 measurements, dates); |
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178 |
428
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179 statisticSets.add(generateStatisticsValues( |
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180 lStatistics, |
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181 lRegression, |
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182 statisticsName)); |
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183 lStatistics.clear(); |
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184 lRegression.clear(); |
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185 } |
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186 } catch (Exception e) { |
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187 log.error(e.getMessage(), e); |
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188 } |
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189 |
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190 return statisticSets; |
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191 } |
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192 |
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193 protected void clearStatistics(){} |
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194 |
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195 /** |
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196 * |
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197 * @param break1 |
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198 * @param break2 |
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199 * @param break3 |
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200 * @param parameters |
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201 * @param measurements |
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202 * @param dates |
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203 * @return |
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204 */ |
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205 protected String generateStatisticsName(String break1, |
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206 String break2, |
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207 String break3, |
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208 Collection<KeyValueDescibeData> parameters, |
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209 Collection<KeyValueDescibeData> measurements, |
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210 Collection<KeyValueDescibeData> dates){ |
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211 log.debug("TimeseriesStatistics.generateStatisticsName"); |
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212 return this.findValueTitle(parameters,break1)+ " "+ |
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213 this.findValueTitle(measurements,break2) + "m"; |
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214 } |
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215 |
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216 |
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217 protected String findValueTitle(Collection<KeyValueDescibeData> values, |
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218 String id) { |
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219 log.debug("TimeseriesStatistics.findValueTitle "+ id); |
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220 if (values != null) { |
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221 Iterator<KeyValueDescibeData> it = values.iterator(); |
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222 while (it.hasNext()) { |
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223 KeyValueDescibeData data = it.next(); |
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224 if (id.equals(data.getKey())) { |
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225 return data.getValue(); |
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226 } |
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227 } |
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228 } |
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229 return ""; |
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230 } |
255
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231 protected double calculateXOrdinateValue(Result previousRow, Result row) throws SQLException { |
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232 return new Double((row.getDate("XORDINATE")).getTime() / 1000 / 3600); |
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233 } |
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234 |
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235 } |