Mercurial > dive4elements > gnv-client
annotate gnv-artifacts/src/main/java/de/intevation/gnv/chart/TimeSeriesVectorChart.java @ 1068:a4e490e0af5b
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gnv-artifacts/trunk@1163 c6561f87-3c4e-4783-a992-168aeb5c3f6f
author | Tim Englich <tim.englich@intevation.de> |
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date | Mon, 07 Jun 2010 12:17:57 +0000 |
parents | 70653c29fc1d |
children | f953c9a559d8 |
rev | line source |
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Finished vector support for timeseriespoints (Issue27).
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1 package de.intevation.gnv.chart; |
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2 |
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3 import de.intevation.gnv.geobackend.base.Result; |
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4 import de.intevation.gnv.geobackend.base.ResultDescriptor; |
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5 |
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6 import java.util.Collection; |
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7 import java.util.Date; |
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8 import java.util.Iterator; |
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9 import java.util.Locale; |
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10 |
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11 import org.apache.log4j.Logger; |
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12 |
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13 import org.jfree.chart.ChartTheme; |
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14 import org.jfree.chart.plot.XYPlot; |
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15 |
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16 import org.jfree.data.time.Minute; |
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17 import org.jfree.data.time.TimeSeries; |
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18 import org.jfree.data.time.TimeSeriesCollection; |
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19 |
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20 |
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21 /** |
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22 * This class is used to create timeseries charts that contain components of a |
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23 * vector parameter. The domain axis contains multiple date/time objects. |
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24 * |
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25 * @author <a href="mailto:ingo.weinzierl@intevation.de">Ingo Weinzierl</a> |
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26 */ |
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27 public class TimeSeriesVectorChart extends TimeSeriesChart { |
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28 |
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29 private static Logger logger =Logger.getLogger(TimeSeriesVectorChart.class); |
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30 |
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31 public TimeSeriesVectorChart( |
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32 ChartLabels labels, |
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33 ChartTheme theme, |
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34 Collection parameters, |
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35 Collection measurements, |
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36 Collection dates, |
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37 Collection result, |
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38 Collection timeGaps, |
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39 Locale locale, |
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40 boolean linesVisible, |
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41 boolean shapesVisible |
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42 ) { |
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43 super(labels, theme, parameters, measurements, dates, result, |
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44 timeGaps, locale, linesVisible, shapesVisible); |
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45 } |
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46 |
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47 |
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48 @Override |
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49 protected void initData() { |
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50 logger.debug("init data for timeseries vector chart"); |
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51 |
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52 Iterator iter = resultSet.iterator(); |
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53 Result row = null; |
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54 String seriesName = null; |
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55 TimeSeries series = null; |
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56 |
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57 int idx = 0; |
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58 int startPos = 0; |
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59 int endPos = 0; |
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60 Date startDate = null; |
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61 Date endDate = null; |
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62 |
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63 ResultDescriptor rd = null; |
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64 int idxSeries = -1; |
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65 int idxX = -1; |
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66 int idxY = -1; |
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67 |
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68 Result[] results = |
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69 (Result[]) resultSet.toArray(new Result[resultSet.size()]); |
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70 |
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71 while (iter.hasNext()) { |
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72 row = (Result) iter.next(); |
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73 |
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74 if (rd == null) { |
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75 rd = row.getResultDescriptor(); |
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76 idxSeries = rd.getColumnIndex("SERIES"); |
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77 idxX = rd.getColumnIndex("XORDINATE"); |
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78 idxY = rd.getColumnIndex("YORDINATE"); |
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79 } |
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80 |
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81 // add current data to plot and prepare for next one |
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82 if (!row.getString(idxSeries).equals(seriesName)) { |
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83 logger.debug("prepare data/plot for next dataset"); |
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84 |
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85 if(series != null) { |
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86 // add gaps before adding series to chart |
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87 startDate = results[startPos].getDate(idxX); |
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88 endDate = results[endPos-1].getDate(idxX); |
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89 addGaps(results,series,startDate,endDate,startPos,endPos); |
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90 addSeries(series, seriesName, idx); |
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91 |
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92 startPos = endPos + 1; |
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93 } |
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94 |
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95 // prepare variables for next plot |
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96 seriesName = row.getString(idxSeries); |
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97 |
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98 logger.debug("next dataset is '" + seriesName + "'"); |
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99 series = new TimeSeries(seriesName, Minute.class); |
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100 } |
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101 |
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102 addValue(row, series); |
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103 storeMaxRange(ranges, row.getDouble(idxY), seriesName); |
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104 endPos++; |
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105 } |
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106 |
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107 if (startPos < results.length && endPos-1 < results.length) { |
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108 // add the last dataset if existing to plot and prepare its axis |
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109 startDate = results[startPos].getDate(idxX); |
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110 endDate = results[endPos-1].getDate(idxX); |
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111 addGaps(results, series, startDate, endDate, startPos, endPos); |
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112 addSeries(series, seriesName, idx); |
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113 } |
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114 |
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115 addDatasets(); |
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116 } |
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117 |
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118 |
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119 @Override |
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120 protected void addDatasets() { |
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121 XYPlot plot = chart.getXYPlot(); |
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122 int idx = 0; |
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123 |
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124 TimeSeriesCollection tsc = null; |
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125 Iterator iter = datasets.keySet().iterator(); |
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126 |
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127 while (iter.hasNext()) { |
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128 String key = (String) iter.next(); |
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129 tsc = (TimeSeriesCollection)datasets.get(key); |
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130 plot.setDataset(idx, tsc ); |
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131 logger.debug("Added " + key + " parameter to plot."); |
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132 prepareAxis(key, idx); |
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133 adjustRenderer( |
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134 idx++, |
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135 tsc.getSeriesCount(), |
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136 linesVisible, |
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137 shapesVisible |
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138 ); |
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139 } |
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140 } |
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141 } |
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142 // vim:set ts=4 sw=4 si et sta sts=4 fenc=utf-8 : |