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1 | #ifndef SCIQLOP_COLORUTILS_H | |
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2 | #define SCIQLOP_COLORUTILS_H | |
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3 | ||
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4 | #include <vector> | |
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5 | ||
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6 | class QColor; | |
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7 | ||
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8 | /** | |
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9 | * Utility class with methods for colors | |
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10 | */ | |
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11 | struct ColorUtils { | |
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12 | /// Generates a color scale from min / max values and a number of colors. | |
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13 | /// The algorithm uses the HSV color model to generate color variations (see | |
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14 | /// http://doc.qt.io/qt-4.8/qcolor.html#the-hsv-color-model) | |
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15 | static std::vector<QColor> colors(const QColor &minColor, const QColor &maxColor, | |
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16 | int nbColors) noexcept; | |
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17 | }; | |
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18 | ||
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19 | #endif // SCIQLOP_COLORUTILS_H |
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1 | #include "Common/ColorUtils.h" | |
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2 | ||
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3 | #include <QtGui/QColor> | |
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4 | ||
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5 | std::vector<QColor> ColorUtils::colors(const QColor &minColor, const QColor &maxColor, | |
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6 | int nbColors) noexcept | |
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7 | { | |
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8 | auto result = std::vector<QColor>{}; | |
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9 | ||
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10 | if (nbColors == 1) { | |
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11 | result.push_back(minColor); | |
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12 | } | |
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13 | else if (nbColors > 0) { | |
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14 | const auto nbSteps = static_cast<double>(nbColors - 1); | |
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15 | ||
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16 | const auto colorHStep = (maxColor.hue() - minColor.hue()) / nbSteps; | |
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17 | const auto colorSStep = (maxColor.saturation() - minColor.saturation()) / nbSteps; | |
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18 | const auto colorVStep = (maxColor.value() - minColor.value()) / nbSteps; | |
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19 | const auto colorAStep = (maxColor.alpha() - minColor.alpha()) / nbSteps; | |
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20 | ||
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21 | for (auto i = 0; i < nbColors; ++i) { | |
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22 | result.push_back(QColor::fromHsv( | |
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23 | minColor.hue() + i * colorHStep, minColor.saturation() + i * colorSStep, | |
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24 | minColor.value() + i * colorVStep, minColor.alpha() + i * colorAStep)); | |
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25 | } | |
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26 | } | |
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27 | ||
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28 | return result; | |
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29 | } |
@@ -1,234 +1,239 | |||
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1 | 1 | #include "Visualization/VisualizationGraphHelper.h" |
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2 | 2 | #include "Visualization/qcustomplot.h" |
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3 | 3 | |
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4 | #include <Common/ColorUtils.h> | |
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5 | ||
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4 | 6 | #include <Data/ScalarSeries.h> |
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5 | 7 | #include <Data/VectorSeries.h> |
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6 | 8 | |
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7 | 9 | #include <Variable/Variable.h> |
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8 | 10 | |
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9 | 11 | Q_LOGGING_CATEGORY(LOG_VisualizationGraphHelper, "VisualizationGraphHelper") |
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10 | 12 | |
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11 | 13 | namespace { |
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12 | 14 | |
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13 | 15 | class SqpDataContainer : public QCPGraphDataContainer { |
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14 | 16 | public: |
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15 | 17 | void appendGraphData(const QCPGraphData &data) { mData.append(data); } |
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16 | 18 | }; |
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17 | 19 | |
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18 | 20 | |
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19 | 21 | /// Format for datetimes on a axis |
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20 | 22 | const auto DATETIME_TICKER_FORMAT = QStringLiteral("yyyy/MM/dd \nhh:mm:ss"); |
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21 | 23 | |
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22 | 24 | /// Generates the appropriate ticker for an axis, depending on whether the axis displays time or |
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23 | 25 | /// non-time data |
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24 | 26 | QSharedPointer<QCPAxisTicker> axisTicker(bool isTimeAxis) |
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25 | 27 | { |
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26 | 28 | if (isTimeAxis) { |
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27 | 29 | auto dateTicker = QSharedPointer<QCPAxisTickerDateTime>::create(); |
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28 | 30 | dateTicker->setDateTimeFormat(DATETIME_TICKER_FORMAT); |
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29 | 31 | dateTicker->setDateTimeSpec(Qt::UTC); |
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30 | 32 | |
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31 | 33 | return dateTicker; |
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32 | 34 | } |
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33 | 35 | else { |
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34 | 36 | // default ticker |
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35 | 37 | return QSharedPointer<QCPAxisTicker>::create(); |
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36 | 38 | } |
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37 | 39 | } |
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38 | 40 | |
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39 | 41 | /// Sets axes properties according to the properties of a data series |
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40 | 42 | template <int Dim> |
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41 | 43 | void setAxesProperties(const DataSeries<Dim> &dataSeries, QCustomPlot &plot) noexcept |
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42 | 44 | { |
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43 | 45 | /// @todo : for the moment, no control is performed on the axes: the units and the tickers |
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44 | 46 | /// are fixed for the default x-axis and y-axis of the plot, and according to the new graph |
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45 | 47 | auto setAxisProperties = [](auto axis, const auto &unit) { |
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46 | 48 | // label (unit name) |
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47 | 49 | axis->setLabel(unit.m_Name); |
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48 | 50 | |
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49 | 51 | // ticker (depending on the type of unit) |
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50 | 52 | axis->setTicker(axisTicker(unit.m_TimeUnit)); |
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51 | 53 | }; |
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52 | 54 | setAxisProperties(plot.xAxis, dataSeries.xAxisUnit()); |
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53 | 55 | setAxisProperties(plot.yAxis, dataSeries.valuesUnit()); |
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54 | 56 | } |
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55 | 57 | |
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56 | 58 | /** |
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57 | 59 | * Struct used to create plottables, depending on the type of the data series from which to create them |
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58 | 60 | * @tparam T the data series' type |
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59 | 61 | * @remarks Default implementation can't create plottables |
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60 | 62 | */ |
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61 | 63 | template <typename T, typename Enabled = void> |
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62 | 64 | struct PlottablesCreator { |
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63 | 65 | static PlottablesMap createPlottables(T &, QCustomPlot &) |
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64 | 66 | { |
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65 | 67 | qCCritical(LOG_DataSeries()) |
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66 | 68 | << QObject::tr("Can't create plottables: unmanaged data series type"); |
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67 | 69 | return {}; |
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68 | 70 | } |
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69 | 71 | }; |
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70 | 72 | |
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71 | 73 | /** |
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72 | 74 | * Specialization of PlottablesCreator for scalars and vectors |
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73 | 75 | * @sa ScalarSeries |
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74 | 76 | * @sa VectorSeries |
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75 | 77 | */ |
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76 | 78 | template <typename T> |
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77 | 79 | struct PlottablesCreator<T, |
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78 | 80 | typename std::enable_if_t<std::is_base_of<ScalarSeries, T>::value |
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79 | 81 | or std::is_base_of<VectorSeries, T>::value> > { |
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80 | 82 | static PlottablesMap createPlottables(T &dataSeries, QCustomPlot &plot) |
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81 | 83 | { |
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82 | 84 | PlottablesMap result{}; |
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83 | 85 | |
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84 | 86 | // Gets the number of components of the data series |
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85 | 87 | auto componentCount = dataSeries.valuesData()->componentCount(); |
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86 | 88 | |
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89 | auto colors = ColorUtils::colors(Qt::blue, Qt::red, componentCount); | |
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90 | ||
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87 | 91 | // For each component of the data series, creates a QCPGraph to add to the plot |
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88 | 92 | for (auto i = 0; i < componentCount; ++i) { |
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89 | 93 | auto graph = plot.addGraph(); |
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94 | graph->setPen(QPen{colors.at(i)}); | |
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90 | 95 | |
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91 | 96 | result.insert({i, graph}); |
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92 | 97 | } |
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93 | 98 | |
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94 | 99 | // Axes properties |
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95 | 100 | setAxesProperties(dataSeries, plot); |
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96 | 101 | |
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97 | 102 | plot.replot(); |
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98 | 103 | |
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99 | 104 | return result; |
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100 | 105 | } |
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101 | 106 | }; |
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102 | 107 | |
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103 | 108 | /** |
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104 | 109 | * Struct used to update plottables, depending on the type of the data series from which to update them |
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105 | 110 | * @tparam T the data series' type |
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106 | 111 | * @remarks Default implementation can't update plottables |
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107 | 112 | */ |
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108 | 113 | template <typename T, typename Enabled = void> |
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109 | 114 | struct PlottablesUpdater { |
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110 | 115 | static void updatePlottables(T &, PlottablesMap &, const SqpRange &, bool) |
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111 | 116 | { |
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112 | 117 | qCCritical(LOG_DataSeries()) |
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113 | 118 | << QObject::tr("Can't update plottables: unmanaged data series type"); |
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114 | 119 | } |
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115 | 120 | }; |
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116 | 121 | |
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117 | 122 | /** |
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118 | 123 | * Specialization of PlottablesUpdater for scalars and vectors |
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119 | 124 | * @sa ScalarSeries |
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120 | 125 | * @sa VectorSeries |
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121 | 126 | */ |
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122 | 127 | template <typename T> |
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123 | 128 | struct PlottablesUpdater<T, |
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124 | 129 | typename std::enable_if_t<std::is_base_of<ScalarSeries, T>::value |
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125 | 130 | or std::is_base_of<VectorSeries, T>::value> > { |
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126 | 131 | static void updatePlottables(T &dataSeries, PlottablesMap &plottables, const SqpRange &range, |
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127 | 132 | bool rescaleAxes) |
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128 | 133 | { |
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129 | 134 | dataSeries.lockRead(); |
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130 | 135 | |
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131 | 136 | // For each plottable to update, resets its data |
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132 | 137 | std::map<int, QSharedPointer<SqpDataContainer> > dataContainers{}; |
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133 | 138 | for (const auto &plottable : plottables) { |
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134 | 139 | if (auto graph = dynamic_cast<QCPGraph *>(plottable.second)) { |
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135 | 140 | auto dataContainer = QSharedPointer<SqpDataContainer>::create(); |
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136 | 141 | graph->setData(dataContainer); |
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137 | 142 | |
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138 | 143 | dataContainers.insert({plottable.first, dataContainer}); |
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139 | 144 | } |
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140 | 145 | } |
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141 | 146 | |
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142 | 147 | // - Gets the data of the series included in the current range |
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143 | 148 | // - Updates each plottable by adding, for each data item, a point that takes x-axis data and value data. The correct value is retrieved according to the index of the component |
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144 | 149 | auto subDataIts = dataSeries.subData(range.m_TStart, range.m_TEnd); |
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145 | 150 | for (auto it = subDataIts.first; it != subDataIts.second; ++it) { |
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146 | 151 | for (const auto &dataContainer : dataContainers) { |
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147 | 152 | auto componentIndex = dataContainer.first; |
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148 | 153 | dataContainer.second->appendGraphData( |
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149 | 154 | QCPGraphData(it->x(), it->value(componentIndex))); |
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150 | 155 | } |
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151 | 156 | } |
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152 | 157 | |
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153 | 158 | dataSeries.unlock(); |
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154 | 159 | |
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155 | 160 | if (!plottables.empty()) { |
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156 | 161 | auto plot = plottables.begin()->second->parentPlot(); |
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157 | 162 | |
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158 | 163 | if (rescaleAxes) { |
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159 | 164 | plot->rescaleAxes(); |
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160 | 165 | } |
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161 | 166 | |
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162 | 167 | plot->replot(); |
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163 | 168 | } |
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164 | 169 | } |
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165 | 170 | }; |
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166 | 171 | |
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167 | 172 | /** |
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168 | 173 | * Helper used to create/update plottables |
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169 | 174 | */ |
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170 | 175 | struct IPlottablesHelper { |
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171 | 176 | virtual ~IPlottablesHelper() noexcept = default; |
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172 | 177 | virtual PlottablesMap create(QCustomPlot &plot) const = 0; |
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173 | 178 | virtual void update(PlottablesMap &plottables, const SqpRange &range, |
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174 | 179 | bool rescaleAxes = false) const = 0; |
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175 | 180 | }; |
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176 | 181 | |
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177 | 182 | /** |
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178 | 183 | * Default implementation of IPlottablesHelper, which takes data series to create/update plottables |
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179 | 184 | * @tparam T the data series' type |
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180 | 185 | */ |
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181 | 186 | template <typename T> |
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182 | 187 | struct PlottablesHelper : public IPlottablesHelper { |
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183 | 188 | explicit PlottablesHelper(T &dataSeries) : m_DataSeries{dataSeries} {} |
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184 | 189 | |
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185 | 190 | PlottablesMap create(QCustomPlot &plot) const override |
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186 | 191 | { |
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187 | 192 | return PlottablesCreator<T>::createPlottables(m_DataSeries, plot); |
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188 | 193 | } |
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189 | 194 | |
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190 | 195 | void update(PlottablesMap &plottables, const SqpRange &range, bool rescaleAxes) const override |
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191 | 196 | { |
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192 | 197 | PlottablesUpdater<T>::updatePlottables(m_DataSeries, plottables, range, rescaleAxes); |
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193 | 198 | } |
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194 | 199 | |
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195 | 200 | T &m_DataSeries; |
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196 | 201 | }; |
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197 | 202 | |
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198 | 203 | /// Creates IPlottablesHelper according to a data series |
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199 | 204 | std::unique_ptr<IPlottablesHelper> createHelper(IDataSeries *dataSeries) noexcept |
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200 | 205 | { |
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201 | 206 | if (auto scalarSeries = dynamic_cast<ScalarSeries *>(dataSeries)) { |
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202 | 207 | return std::make_unique<PlottablesHelper<ScalarSeries> >(*scalarSeries); |
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203 | 208 | } |
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204 | 209 | else if (auto vectorSeries = dynamic_cast<VectorSeries *>(dataSeries)) { |
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205 | 210 | return std::make_unique<PlottablesHelper<VectorSeries> >(*vectorSeries); |
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206 | 211 | } |
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207 | 212 | else { |
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208 | 213 | return std::make_unique<PlottablesHelper<IDataSeries> >(*dataSeries); |
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209 | 214 | } |
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210 | 215 | } |
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211 | 216 | |
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212 | 217 | } // namespace |
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213 | 218 | |
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214 | 219 | PlottablesMap VisualizationGraphHelper::create(std::shared_ptr<Variable> variable, |
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215 | 220 | QCustomPlot &plot) noexcept |
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216 | 221 | { |
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217 | 222 | if (variable) { |
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218 | 223 | auto helper = createHelper(variable->dataSeries().get()); |
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219 | 224 | auto plottables = helper->create(plot); |
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220 | 225 | return plottables; |
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221 | 226 | } |
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222 | 227 | else { |
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223 | 228 | qCDebug(LOG_VisualizationGraphHelper()) |
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224 | 229 | << QObject::tr("Can't create graph plottables : the variable is null"); |
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225 | 230 | return PlottablesMap{}; |
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226 | 231 | } |
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227 | 232 | } |
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228 | 233 | |
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229 | 234 | void VisualizationGraphHelper::updateData(PlottablesMap &plottables, IDataSeries *dataSeries, |
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230 | 235 | const SqpRange &dateTime) |
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231 | 236 | { |
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232 | 237 | auto helper = createHelper(dataSeries); |
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233 | 238 | helper->update(plottables, dateTime); |
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234 | 239 | } |
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