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1 | #ifndef SCIQLOP_SORTUTILS_H | |
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2 | #define SCIQLOP_SORTUTILS_H | |
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3 | ||
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4 | #include <algorithm> | |
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5 | #include <vector> | |
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6 | ||
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7 | /** | |
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8 | * Utility class with methods for sorting data | |
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9 | */ | |
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10 | struct SortUtils { | |
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11 | /** | |
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12 | * Generates a vector representing the index of insertion of each data of a container if this | |
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13 | * one had to be sorted according to a comparison function. | |
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14 | * | |
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15 | * For example: | |
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16 | * If the container is a vector {1; 4; 2; 5; 3} and the comparison function is std::less, the | |
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17 | * result would be : {0; 3; 1; 4; 2} | |
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18 | * | |
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19 | * @tparam Container the type of the container. | |
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20 | * @tparam Compare the type of the comparison function | |
|
21 | * @param container the container from which to generate the result. The container must have a | |
|
22 | * at() method that returns a value associated to an index | |
|
23 | * @param compare the comparison function | |
|
24 | */ | |
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25 | template <typename Container, typename Compare> | |
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26 | static std::vector<int> sortPermutation(const Container &container, const Compare &compare) | |
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27 | { | |
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28 | auto permutation = std::vector<int>{}; | |
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29 | permutation.resize(container.size()); | |
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30 | ||
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31 | std::iota(permutation.begin(), permutation.end(), 0); | |
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32 | std::sort(permutation.begin(), permutation.end(), | |
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33 | [&](int i, int j) { return compare(container.at(i), container.at(j)); }); | |
|
34 | return permutation; | |
|
35 | } | |
|
36 | }; | |
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37 | ||
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38 | #endif // SCIQLOP_SORTUTILS_H |
@@ -0,0 +1,164 | |||
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1 | #include "Data/DataSeries.h" | |
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2 | #include "Data/ScalarSeries.h" | |
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3 | ||
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4 | #include <QObject> | |
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5 | #include <QtTest> | |
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6 | ||
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7 | Q_DECLARE_METATYPE(std::shared_ptr<ScalarSeries>) | |
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8 | ||
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9 | class TestDataSeries : public QObject { | |
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10 | Q_OBJECT | |
|
11 | private slots: | |
|
12 | /// Input test data | |
|
13 | /// @sa testCtor() | |
|
14 | void testCtor_data(); | |
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15 | ||
|
16 | /// Tests construction of a data series | |
|
17 | void testCtor(); | |
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18 | ||
|
19 | /// Input test data | |
|
20 | /// @sa testMerge() | |
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21 | void testMerge_data(); | |
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22 | ||
|
23 | /// Tests merge of two data series | |
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24 | void testMerge(); | |
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25 | }; | |
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26 | ||
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27 | void TestDataSeries::testCtor_data() | |
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28 | { | |
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29 | // ////////////// // | |
|
30 | // Test structure // | |
|
31 | // ////////////// // | |
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32 | ||
|
33 | // x-axis data | |
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34 | QTest::addColumn<QVector<double> >("xAxisData"); | |
|
35 | // values data | |
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36 | QTest::addColumn<QVector<double> >("valuesData"); | |
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37 | ||
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38 | // expected x-axis data | |
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39 | QTest::addColumn<QVector<double> >("expectedXAxisData"); | |
|
40 | // expected values data | |
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41 | QTest::addColumn<QVector<double> >("expectedValuesData"); | |
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42 | ||
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43 | // ////////// // | |
|
44 | // Test cases // | |
|
45 | // ////////// // | |
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46 | ||
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47 | QTest::newRow("invalidData (different sizes of vectors)") | |
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48 | << QVector<double>{1., 2., 3., 4., 5.} << QVector<double>{100., 200., 300.} | |
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49 | << QVector<double>{} << QVector<double>{}; | |
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50 | ||
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51 | QTest::newRow("sortedData") << QVector<double>{1., 2., 3., 4., 5.} | |
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52 | << QVector<double>{100., 200., 300., 400., 500.} | |
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53 | << QVector<double>{1., 2., 3., 4., 5.} | |
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54 | << QVector<double>{100., 200., 300., 400., 500.}; | |
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55 | ||
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56 | QTest::newRow("unsortedData") << QVector<double>{5., 4., 3., 2., 1.} | |
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57 | << QVector<double>{100., 200., 300., 400., 500.} | |
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58 | << QVector<double>{1., 2., 3., 4., 5.} | |
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59 | << QVector<double>{500., 400., 300., 200., 100.}; | |
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60 | ||
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61 | QTest::newRow("unsortedData2") | |
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62 | << QVector<double>{1., 4., 3., 5., 2.} << QVector<double>{100., 200., 300., 400., 500.} | |
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63 | << QVector<double>{1., 2., 3., 4., 5.} << QVector<double>{100., 500., 300., 200., 400.}; | |
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64 | } | |
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65 | ||
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66 | void TestDataSeries::testCtor() | |
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67 | { | |
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68 | // Creates series | |
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69 | QFETCH(QVector<double>, xAxisData); | |
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70 | QFETCH(QVector<double>, valuesData); | |
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71 | ||
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72 | auto series = std::make_shared<ScalarSeries>(std::move(xAxisData), std::move(valuesData), | |
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73 | Unit{}, Unit{}); | |
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74 | ||
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75 | // Validates results : we check that the data series is sorted on its x-axis data | |
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76 | QFETCH(QVector<double>, expectedXAxisData); | |
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77 | QFETCH(QVector<double>, expectedValuesData); | |
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78 | ||
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79 | auto seriesXAxisData = series->xAxisData()->data(); | |
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80 | auto seriesValuesData = series->valuesData()->data(); | |
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81 | ||
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82 | QVERIFY( | |
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83 | std::equal(expectedXAxisData.cbegin(), expectedXAxisData.cend(), seriesXAxisData.cbegin())); | |
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84 | QVERIFY(std::equal(expectedValuesData.cbegin(), expectedValuesData.cend(), | |
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85 | seriesValuesData.cbegin())); | |
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86 | } | |
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87 | ||
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88 | namespace { | |
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89 | ||
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90 | std::shared_ptr<ScalarSeries> createSeries(QVector<double> xAxisData, QVector<double> valuesData) | |
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91 | { | |
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92 | return std::make_shared<ScalarSeries>(std::move(xAxisData), std::move(valuesData), Unit{}, | |
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93 | Unit{}); | |
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94 | } | |
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95 | ||
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96 | } // namespace | |
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97 | ||
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98 | void TestDataSeries::testMerge_data() | |
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99 | { | |
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100 | // ////////////// // | |
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101 | // Test structure // | |
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102 | // ////////////// // | |
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103 | ||
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104 | // Data series to merge | |
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105 | QTest::addColumn<std::shared_ptr<ScalarSeries> >("dataSeries"); | |
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106 | QTest::addColumn<std::shared_ptr<ScalarSeries> >("dataSeries2"); | |
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107 | ||
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108 | // Expected values in the first data series after merge | |
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109 | QTest::addColumn<QVector<double> >("expectedXAxisData"); | |
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110 | QTest::addColumn<QVector<double> >("expectedValuesData"); | |
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111 | ||
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112 | // ////////// // | |
|
113 | // Test cases // | |
|
114 | // ////////// // | |
|
115 | ||
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116 | QTest::newRow("sortedMerge") | |
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117 | << createSeries({1., 2., 3., 4., 5.}, {100., 200., 300., 400., 500.}) | |
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118 | << createSeries({6., 7., 8., 9., 10.}, {600., 700., 800., 900., 1000.}) | |
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119 | << QVector<double>{1., 2., 3., 4., 5., 6., 7., 8., 9., 10.} | |
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120 | << QVector<double>{100., 200., 300., 400., 500., 600., 700., 800., 900., 1000.}; | |
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121 | ||
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122 | QTest::newRow("unsortedMerge") | |
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123 | << createSeries({6., 7., 8., 9., 10.}, {600., 700., 800., 900., 1000.}) | |
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124 | << createSeries({1., 2., 3., 4., 5.}, {100., 200., 300., 400., 500.}) | |
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125 | << QVector<double>{1., 2., 3., 4., 5., 6., 7., 8., 9., 10.} | |
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126 | << QVector<double>{100., 200., 300., 400., 500., 600., 700., 800., 900., 1000.}; | |
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127 | ||
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128 | QTest::newRow("unsortedMerge2") | |
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129 | << createSeries({1., 2., 8., 9., 10}, {100., 200., 300., 400., 500.}) | |
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130 | << createSeries({3., 4., 5., 6., 7.}, {600., 700., 800., 900., 1000.}) | |
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131 | << QVector<double>{1., 2., 3., 4., 5., 6., 7., 8., 9., 10.} | |
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132 | << QVector<double>{100., 200., 600., 700., 800., 900., 1000., 300., 400., 500.}; | |
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133 | ||
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134 | QTest::newRow("unsortedMerge3") | |
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135 | << createSeries({3., 5., 8., 7., 2}, {100., 200., 300., 400., 500.}) | |
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136 | << createSeries({6., 4., 9., 10., 1.}, {600., 700., 800., 900., 1000.}) | |
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137 | << QVector<double>{1., 2., 3., 4., 5., 6., 7., 8., 9., 10.} | |
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138 | << QVector<double>{1000., 500., 100., 700., 200., 600., 400., 300., 800., 900.}; | |
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139 | } | |
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140 | ||
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141 | void TestDataSeries::testMerge() | |
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142 | { | |
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143 | // Merges series | |
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144 | QFETCH(std::shared_ptr<ScalarSeries>, dataSeries); | |
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145 | QFETCH(std::shared_ptr<ScalarSeries>, dataSeries2); | |
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146 | ||
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147 | dataSeries->merge(dataSeries2.get()); | |
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148 | ||
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149 | // Validates results : we check that the merge is valid and the data series is sorted on its | |
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150 | // x-axis data | |
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151 | QFETCH(QVector<double>, expectedXAxisData); | |
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152 | QFETCH(QVector<double>, expectedValuesData); | |
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153 | ||
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154 | auto seriesXAxisData = dataSeries->xAxisData()->data(); | |
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155 | auto seriesValuesData = dataSeries->valuesData()->data(); | |
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156 | ||
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157 | QVERIFY( | |
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158 | std::equal(expectedXAxisData.cbegin(), expectedXAxisData.cend(), seriesXAxisData.cbegin())); | |
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159 | QVERIFY(std::equal(expectedValuesData.cbegin(), expectedValuesData.cend(), | |
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160 | seriesValuesData.cbegin())); | |
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161 | } | |
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162 | ||
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163 | QTEST_MAIN(TestDataSeries) | |
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164 | #include "TestDataSeries.moc" |
@@ -1,116 +1,169 | |||
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1 | 1 | #ifndef SCIQLOP_ARRAYDATA_H |
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2 | 2 | #define SCIQLOP_ARRAYDATA_H |
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3 | 3 | |
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4 | 4 | #include <QReadLocker> |
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5 | 5 | #include <QReadWriteLock> |
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6 | 6 | #include <QVector> |
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7 | ||
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8 | #include <memory> | |
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9 | ||
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7 | 10 | /** |
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8 | 11 | * @brief The ArrayData class represents a dataset for a data series. |
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9 | 12 | * |
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10 | 13 | * A dataset can be unidimensional or two-dimensional. This property is determined by the Dim |
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11 | 14 | * template-parameter. |
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12 | 15 | * |
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13 | 16 | * @tparam Dim the dimension of the ArrayData (one or two) |
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14 | 17 | * @sa IDataSeries |
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15 | 18 | */ |
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16 | 19 | template <int Dim> |
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17 | 20 | class ArrayData { |
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18 | 21 | public: |
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19 | 22 | /** |
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20 | 23 | * Ctor for a unidimensional ArrayData |
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21 | 24 | * @param nbColumns the number of values the ArrayData will hold |
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22 | 25 | */ |
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23 | 26 | template <int D = Dim, typename = std::enable_if_t<D == 1> > |
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24 | 27 | explicit ArrayData(int nbColumns) : m_Data{1, QVector<double>{}} |
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25 | 28 | { |
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26 | 29 | QWriteLocker locker{&m_Lock}; |
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27 | 30 | m_Data[0].resize(nbColumns); |
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28 | 31 | } |
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29 | 32 | |
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30 | 33 | /** |
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31 | 34 | * Ctor for a unidimensional ArrayData |
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32 | 35 | * @param data the data the ArrayData will hold |
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33 | 36 | */ |
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34 | 37 | template <int D = Dim, typename = std::enable_if_t<D == 1> > |
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35 | 38 | explicit ArrayData(QVector<double> data) : m_Data{1, QVector<double>{}} |
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36 | 39 | { |
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37 | 40 | QWriteLocker locker{&m_Lock}; |
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38 | 41 | m_Data[0] = std::move(data); |
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39 | 42 | } |
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40 | 43 | |
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41 | 44 | /// Copy ctor |
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42 | 45 | explicit ArrayData(const ArrayData &other) |
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43 | 46 | { |
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44 | 47 | QReadLocker otherLocker{&other.m_Lock}; |
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45 | 48 | QWriteLocker locker{&m_Lock}; |
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46 | 49 | m_Data = other.m_Data; |
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47 | 50 | } |
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48 | 51 | |
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49 | 52 | /** |
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53 | * @return the data at a specified index | |
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54 | * @remarks index must be a valid position | |
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55 | * @remarks this method is only available for a unidimensional ArrayData | |
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56 | */ | |
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57 | template <int D = Dim, typename = std::enable_if_t<D == 1> > | |
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58 | double at(int index) const noexcept | |
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59 | { | |
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60 | QReadLocker locker{&m_Lock}; | |
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61 | return m_Data[0].at(index); | |
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62 | } | |
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63 | ||
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64 | /** | |
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50 | 65 | * Sets a data at a specified index. The index has to be valid to be effective |
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51 | 66 | * @param index the index to which the data will be set |
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52 | 67 | * @param data the data to set |
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53 | 68 | * @remarks this method is only available for a unidimensional ArrayData |
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54 | 69 | */ |
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55 | 70 | template <int D = Dim, typename = std::enable_if_t<D == 1> > |
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56 | 71 | void setData(int index, double data) noexcept |
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57 | 72 | { |
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58 | 73 | QWriteLocker locker{&m_Lock}; |
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59 | 74 | if (index >= 0 && index < m_Data.at(0).size()) { |
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60 | 75 | m_Data[0].replace(index, data); |
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61 | 76 | } |
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62 | 77 | } |
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63 | 78 | |
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64 | 79 | /** |
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65 | 80 | * @return the data as a vector |
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66 | 81 | * @remarks this method is only available for a unidimensional ArrayData |
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67 | 82 | */ |
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68 | 83 | template <int D = Dim, typename = std::enable_if_t<D == 1> > |
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69 | 84 | QVector<double> data() const noexcept |
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70 | 85 | { |
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71 | 86 | QReadLocker locker{&m_Lock}; |
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72 | 87 | return m_Data[0]; |
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73 | 88 | } |
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74 | 89 | |
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75 | 90 | /** |
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76 | * @return the data as a vector | |
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91 | * @return the data as a vector, as a const reference | |
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77 | 92 | * @remarks this method is only available for a unidimensional ArrayData |
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78 | 93 | */ |
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79 | 94 | template <int D = Dim, typename = std::enable_if_t<D == 1> > |
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80 |
QVector<double> data( |
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95 | const QVector<double> &cdata() const noexcept | |
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81 | 96 | { |
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82 | 97 | QReadLocker locker{&m_Lock}; |
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83 |
return m_Data.at( |
|
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98 | return m_Data.at(0); | |
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84 | 99 | } |
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85 | 100 | |
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86 | // TODO Comment | |
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101 | /** | |
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102 | * Merges into the array data an other array data | |
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103 | * @param other the array data to merge with | |
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104 | * @param prepend if true, the other array data is inserted at the beginning, otherwise it is | |
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105 | * inserted at the end | |
|
106 | * @remarks this method is only available for a unidimensional ArrayData | |
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107 | */ | |
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87 | 108 | template <int D = Dim, typename = std::enable_if_t<D == 1> > |
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88 |
void |
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109 | void add(const ArrayData<1> &other, bool prepend = false) | |
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89 | 110 | { |
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90 | 111 | QWriteLocker locker{&m_Lock}; |
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91 | 112 | if (!m_Data.empty()) { |
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92 |
QReadLocker otherLocker{& |
|
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93 | m_Data[0] += arrayData.data(); | |
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113 | QReadLocker otherLocker{&other.m_Lock}; | |
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114 | ||
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115 | if (prepend) { | |
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116 | const auto &otherData = other.data(); | |
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117 | const auto otherDataSize = otherData.size(); | |
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118 | ||
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119 | auto &data = m_Data[0]; | |
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120 | data.insert(data.begin(), otherDataSize, 0.); | |
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121 | ||
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122 | for (auto i = 0; i < otherDataSize; ++i) { | |
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123 | data.replace(i, otherData.at(i)); | |
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124 | } | |
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125 | } | |
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126 | else { | |
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127 | m_Data[0] += other.data(); | |
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128 | } | |
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94 | 129 | } |
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95 | 130 | } |
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96 | 131 | |
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97 | 132 | template <int D = Dim, typename = std::enable_if_t<D == 1> > |
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98 | 133 | int size() const |
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99 | 134 | { |
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100 | 135 | QReadLocker locker{&m_Lock}; |
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101 | 136 | return m_Data[0].size(); |
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102 | 137 | } |
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103 | 138 | |
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139 | template <int D = Dim, typename = std::enable_if_t<D == 1> > | |
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140 | std::shared_ptr<ArrayData<Dim> > sort(const std::vector<int> sortPermutation) | |
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141 | { | |
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142 | QReadLocker locker{&m_Lock}; | |
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143 | ||
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144 | const auto &data = m_Data.at(0); | |
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145 | ||
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146 | // Inits result | |
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147 | auto sortedData = QVector<double>{}; | |
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148 | sortedData.resize(data.size()); | |
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149 | ||
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150 | std::transform(sortPermutation.cbegin(), sortPermutation.cend(), sortedData.begin(), | |
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151 | [&data](int i) { return data[i]; }); | |
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152 | ||
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153 | return std::make_shared<ArrayData<Dim> >(std::move(sortedData)); | |
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154 | } | |
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155 | ||
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156 | template <int D = Dim, typename = std::enable_if_t<D == 1> > | |
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104 | 157 | void clear() |
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105 | 158 | { |
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106 | 159 | QWriteLocker locker{&m_Lock}; |
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107 | m_Data.clear(); | |
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160 | m_Data[0].clear(); | |
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108 | 161 | } |
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109 | 162 | |
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110 | 163 | |
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111 | 164 | private: |
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112 | 165 | QVector<QVector<double> > m_Data; |
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113 | 166 | mutable QReadWriteLock m_Lock; |
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114 | 167 | }; |
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115 | 168 | |
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116 | 169 | #endif // SCIQLOP_ARRAYDATA_H |
@@ -1,107 +1,180 | |||
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1 | 1 | #ifndef SCIQLOP_DATASERIES_H |
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2 | 2 | #define SCIQLOP_DATASERIES_H |
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3 | 3 | |
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4 | #include <Common/SortUtils.h> | |
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5 | ||
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4 | 6 | #include <Data/ArrayData.h> |
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5 | 7 | #include <Data/IDataSeries.h> |
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6 | 8 | |
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7 | 9 | #include <QLoggingCategory> |
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8 | 10 | |
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9 | 11 | #include <QReadLocker> |
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10 | 12 | #include <QReadWriteLock> |
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11 | 13 | #include <memory> |
|
12 | 14 | |
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13 | 15 | Q_DECLARE_LOGGING_CATEGORY(LOG_DataSeries) |
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14 | 16 | Q_LOGGING_CATEGORY(LOG_DataSeries, "DataSeries") |
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15 | 17 | |
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16 | 18 | |
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17 | 19 | /** |
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18 | 20 | * @brief The DataSeries class is the base (abstract) implementation of IDataSeries. |
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19 | 21 | * |
|
20 | * It proposes to set a dimension for the values ββdata | |
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22 | * It proposes to set a dimension for the values ββdata. | |
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23 | * | |
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24 | * A DataSeries is always sorted on its x-axis data. | |
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21 | 25 | * |
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22 | 26 | * @tparam Dim The dimension of the values data |
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23 | 27 | * |
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24 | 28 | */ |
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25 | 29 | template <int Dim> |
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26 | 30 | class DataSeries : public IDataSeries { |
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27 | 31 | public: |
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28 | 32 | /// @sa IDataSeries::xAxisData() |
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29 | 33 | std::shared_ptr<ArrayData<1> > xAxisData() override { return m_XAxisData; } |
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30 | 34 | const std::shared_ptr<ArrayData<1> > xAxisData() const { return m_XAxisData; } |
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31 | 35 | |
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32 | 36 | /// @sa IDataSeries::xAxisUnit() |
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33 | 37 | Unit xAxisUnit() const override { return m_XAxisUnit; } |
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34 | 38 | |
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35 | 39 | /// @return the values dataset |
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36 | 40 | std::shared_ptr<ArrayData<Dim> > valuesData() { return m_ValuesData; } |
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37 | 41 | const std::shared_ptr<ArrayData<Dim> > valuesData() const { return m_ValuesData; } |
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38 | 42 | |
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39 | 43 | /// @sa IDataSeries::valuesUnit() |
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40 | 44 | Unit valuesUnit() const override { return m_ValuesUnit; } |
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41 | 45 | |
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42 | 46 | void clear() |
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43 | 47 | { |
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44 | 48 | m_XAxisData->clear(); |
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45 | 49 | m_ValuesData->clear(); |
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46 | 50 | } |
|
47 | 51 | |
|
48 | /// @sa IDataSeries::merge() | |
|
52 | /// Merges into the data series an other data series | |
|
53 | /// @remarks the data series to merge with is cleared after the operation | |
|
49 | 54 | void merge(IDataSeries *dataSeries) override |
|
50 | 55 | { |
|
51 | if (auto dimDataSeries = dynamic_cast<DataSeries<Dim> *>(dataSeries)) { | |
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52 | m_XAxisData->merge(*dimDataSeries->xAxisData()); | |
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53 | m_ValuesData->merge(*dimDataSeries->valuesData()); | |
|
54 | dimDataSeries->clear(); | |
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56 | dataSeries->lockWrite(); | |
|
57 | lockWrite(); | |
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58 | ||
|
59 | if (auto other = dynamic_cast<DataSeries<Dim> *>(dataSeries)) { | |
|
60 | const auto &otherXAxisData = other->xAxisData()->cdata(); | |
|
61 | const auto &xAxisData = m_XAxisData->cdata(); | |
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62 | ||
|
63 | // As data series are sorted, we can improve performances of merge, by call the sort | |
|
64 | // method only if the two data series overlap. | |
|
65 | if (!otherXAxisData.empty()) { | |
|
66 | auto firstValue = otherXAxisData.front(); | |
|
67 | auto lastValue = otherXAxisData.back(); | |
|
68 | ||
|
69 | auto xAxisDataBegin = xAxisData.cbegin(); | |
|
70 | auto xAxisDataEnd = xAxisData.cend(); | |
|
71 | ||
|
72 | bool prepend; | |
|
73 | bool sortNeeded; | |
|
74 | ||
|
75 | if (std::lower_bound(xAxisDataBegin, xAxisDataEnd, firstValue) == xAxisDataEnd) { | |
|
76 | // Other data series if after data series | |
|
77 | prepend = false; | |
|
78 | sortNeeded = false; | |
|
79 | } | |
|
80 | else if (std::upper_bound(xAxisDataBegin, xAxisDataEnd, lastValue) | |
|
81 | == xAxisDataBegin) { | |
|
82 | // Other data series if before data series | |
|
83 | prepend = true; | |
|
84 | sortNeeded = false; | |
|
85 | } | |
|
86 | else { | |
|
87 | // The two data series overlap | |
|
88 | prepend = false; | |
|
89 | sortNeeded = true; | |
|
90 | } | |
|
91 | ||
|
92 | // Makes the merge | |
|
93 | m_XAxisData->add(*other->xAxisData(), prepend); | |
|
94 | m_ValuesData->add(*other->valuesData(), prepend); | |
|
95 | ||
|
96 | if (sortNeeded) { | |
|
97 | sort(); | |
|
98 | } | |
|
99 | } | |
|
100 | ||
|
101 | // Clears the other data series | |
|
102 | other->clear(); | |
|
55 | 103 | } |
|
56 | 104 | else { |
|
57 | 105 | qCWarning(LOG_DataSeries()) |
|
58 | << QObject::tr("Dection of a type of IDataSeries we cannot merge with !"); | |
|
106 | << QObject::tr("Detection of a type of IDataSeries we cannot merge with !"); | |
|
59 | 107 | } |
|
108 | unlock(); | |
|
109 | dataSeries->unlock(); | |
|
60 | 110 | } |
|
61 | 111 | |
|
62 | 112 | virtual void lockRead() { m_Lock.lockForRead(); } |
|
63 | 113 | virtual void lockWrite() { m_Lock.lockForWrite(); } |
|
64 | 114 | virtual void unlock() { m_Lock.unlock(); } |
|
65 | 115 | |
|
66 | 116 | protected: |
|
67 | /// Protected ctor (DataSeries is abstract) | |
|
117 | /// Protected ctor (DataSeries is abstract). The vectors must have the same size, otherwise a | |
|
118 | /// DataSeries with no values will be created. | |
|
119 | /// @remarks data series is automatically sorted on its x-axis data | |
|
68 | 120 | explicit DataSeries(std::shared_ptr<ArrayData<1> > xAxisData, const Unit &xAxisUnit, |
|
69 | 121 | std::shared_ptr<ArrayData<Dim> > valuesData, const Unit &valuesUnit) |
|
70 | 122 | : m_XAxisData{xAxisData}, |
|
71 | 123 | m_XAxisUnit{xAxisUnit}, |
|
72 | 124 | m_ValuesData{valuesData}, |
|
73 | 125 | m_ValuesUnit{valuesUnit} |
|
74 | 126 | { |
|
127 | if (m_XAxisData->size() != m_ValuesData->size()) { | |
|
128 | clear(); | |
|
129 | } | |
|
130 | ||
|
131 | // Sorts data if it's not the case | |
|
132 | const auto &xAxisCData = m_XAxisData->cdata(); | |
|
133 | if (!std::is_sorted(xAxisCData.cbegin(), xAxisCData.cend())) { | |
|
134 | sort(); | |
|
135 | } | |
|
75 | 136 | } |
|
76 | 137 | |
|
77 | 138 | /// Copy ctor |
|
78 | 139 | explicit DataSeries(const DataSeries<Dim> &other) |
|
79 | 140 | : m_XAxisData{std::make_shared<ArrayData<1> >(*other.m_XAxisData)}, |
|
80 | 141 | m_XAxisUnit{other.m_XAxisUnit}, |
|
81 | 142 | m_ValuesData{std::make_shared<ArrayData<Dim> >(*other.m_ValuesData)}, |
|
82 | 143 | m_ValuesUnit{other.m_ValuesUnit} |
|
83 | 144 | { |
|
145 | // Since a series is ordered from its construction and is always ordered, it is not | |
|
146 | // necessary to call the sort method here ('other' is sorted) | |
|
84 | 147 | } |
|
85 | 148 | |
|
86 | 149 | /// Assignment operator |
|
87 | 150 | template <int D> |
|
88 | 151 | DataSeries &operator=(DataSeries<D> other) |
|
89 | 152 | { |
|
90 | 153 | std::swap(m_XAxisData, other.m_XAxisData); |
|
91 | 154 | std::swap(m_XAxisUnit, other.m_XAxisUnit); |
|
92 | 155 | std::swap(m_ValuesData, other.m_ValuesData); |
|
93 | 156 | std::swap(m_ValuesUnit, other.m_ValuesUnit); |
|
94 | 157 | |
|
95 | 158 | return *this; |
|
96 | 159 | } |
|
97 | 160 | |
|
98 | 161 | private: |
|
162 | /** | |
|
163 | * Sorts data series on its x-axis data | |
|
164 | */ | |
|
165 | void sort() noexcept | |
|
166 | { | |
|
167 | auto permutation = SortUtils::sortPermutation(*m_XAxisData, std::less<double>()); | |
|
168 | m_XAxisData = m_XAxisData->sort(permutation); | |
|
169 | m_ValuesData = m_ValuesData->sort(permutation); | |
|
170 | } | |
|
171 | ||
|
99 | 172 | std::shared_ptr<ArrayData<1> > m_XAxisData; |
|
100 | 173 | Unit m_XAxisUnit; |
|
101 | 174 | std::shared_ptr<ArrayData<Dim> > m_ValuesData; |
|
102 | 175 | Unit m_ValuesUnit; |
|
103 | 176 | |
|
104 | 177 | QReadWriteLock m_Lock; |
|
105 | 178 | }; |
|
106 | 179 | |
|
107 | 180 | #endif // SCIQLOP_DATASERIES_H |
@@ -1,39 +1,23 | |||
|
1 | 1 | #ifndef SCIQLOP_SCALARSERIES_H |
|
2 | 2 | #define SCIQLOP_SCALARSERIES_H |
|
3 | 3 | |
|
4 | 4 | #include <Data/DataSeries.h> |
|
5 | 5 | |
|
6 | 6 | /** |
|
7 | 7 | * @brief The ScalarSeries class is the implementation for a data series representing a scalar. |
|
8 | 8 | */ |
|
9 | 9 | class ScalarSeries : public DataSeries<1> { |
|
10 | 10 | public: |
|
11 | 11 | /** |
|
12 | * Ctor | |
|
13 | * @param size the number of data the series will hold | |
|
14 | * @param xAxisUnit x-axis unit | |
|
15 | * @param valuesUnit values unit | |
|
16 | */ | |
|
17 | explicit ScalarSeries(int size, const Unit &xAxisUnit, const Unit &valuesUnit); | |
|
18 | ||
|
19 | /** | |
|
20 | 12 | * Ctor with two vectors. The vectors must have the same size, otherwise a ScalarSeries with no |
|
21 | 13 | * values will be created. |
|
22 | 14 | * @param xAxisData x-axis data |
|
23 | 15 | * @param valuesData values data |
|
24 | 16 | */ |
|
25 | 17 | explicit ScalarSeries(QVector<double> xAxisData, QVector<double> valuesData, |
|
26 | 18 | const Unit &xAxisUnit, const Unit &valuesUnit); |
|
27 | 19 | |
|
28 | /** | |
|
29 | * Sets data for a specific index. The index has to be valid to be effective | |
|
30 | * @param index the index to which the data will be set | |
|
31 | * @param x the x-axis data | |
|
32 | * @param value the value data | |
|
33 | */ | |
|
34 | void setData(int index, double x, double value) noexcept; | |
|
35 | ||
|
36 | 20 | std::unique_ptr<IDataSeries> clone() const; |
|
37 | 21 | }; |
|
38 | 22 | |
|
39 | 23 | #endif // SCIQLOP_SCALARSERIES_H |
@@ -1,25 +1,13 | |||
|
1 | 1 | #include <Data/ScalarSeries.h> |
|
2 | 2 | |
|
3 | ScalarSeries::ScalarSeries(int size, const Unit &xAxisUnit, const Unit &valuesUnit) | |
|
4 | : DataSeries{std::make_shared<ArrayData<1> >(size), xAxisUnit, | |
|
5 | std::make_shared<ArrayData<1> >(size), valuesUnit} | |
|
6 | { | |
|
7 | } | |
|
8 | ||
|
9 | 3 | ScalarSeries::ScalarSeries(QVector<double> xAxisData, QVector<double> valuesData, |
|
10 | 4 | const Unit &xAxisUnit, const Unit &valuesUnit) |
|
11 | 5 | : DataSeries{std::make_shared<ArrayData<1> >(std::move(xAxisData)), xAxisUnit, |
|
12 | 6 | std::make_shared<ArrayData<1> >(std::move(valuesData)), valuesUnit} |
|
13 | 7 | { |
|
14 | 8 | } |
|
15 | 9 | |
|
16 | void ScalarSeries::setData(int index, double x, double value) noexcept | |
|
17 | { | |
|
18 | xAxisData()->setData(index, x); | |
|
19 | valuesData()->setData(index, value); | |
|
20 | } | |
|
21 | ||
|
22 | 10 | std::unique_ptr<IDataSeries> ScalarSeries::clone() const |
|
23 | 11 | { |
|
24 | 12 | return std::make_unique<ScalarSeries>(*this); |
|
25 | 13 | } |
@@ -1,90 +1,86 | |||
|
1 | 1 | #include "Variable/Variable.h" |
|
2 | 2 | |
|
3 | 3 | #include <Data/IDataSeries.h> |
|
4 | 4 | #include <Data/SqpDateTime.h> |
|
5 | 5 | |
|
6 | 6 | #include <QReadWriteLock> |
|
7 | 7 | #include <QThread> |
|
8 | 8 | |
|
9 | 9 | Q_LOGGING_CATEGORY(LOG_Variable, "Variable") |
|
10 | 10 | |
|
11 | 11 | struct Variable::VariablePrivate { |
|
12 | 12 | explicit VariablePrivate(const QString &name, const SqpDateTime &dateTime, |
|
13 | 13 | const QVariantHash &metadata) |
|
14 | 14 | : m_Name{name}, m_DateTime{dateTime}, m_Metadata{metadata}, m_DataSeries{nullptr} |
|
15 | 15 | { |
|
16 | 16 | } |
|
17 | 17 | |
|
18 | 18 | QString m_Name; |
|
19 | 19 | |
|
20 | 20 | SqpDateTime m_DateTime; // The dateTime available in the view and loaded. not the cache. |
|
21 | 21 | QVariantHash m_Metadata; |
|
22 | 22 | std::unique_ptr<IDataSeries> m_DataSeries; |
|
23 | 23 | }; |
|
24 | 24 | |
|
25 | 25 | Variable::Variable(const QString &name, const SqpDateTime &dateTime, const QVariantHash &metadata) |
|
26 | 26 | : impl{spimpl::make_unique_impl<VariablePrivate>(name, dateTime, metadata)} |
|
27 | 27 | { |
|
28 | 28 | } |
|
29 | 29 | |
|
30 | 30 | QString Variable::name() const noexcept |
|
31 | 31 | { |
|
32 | 32 | return impl->m_Name; |
|
33 | 33 | } |
|
34 | 34 | |
|
35 | 35 | SqpDateTime Variable::dateTime() const noexcept |
|
36 | 36 | { |
|
37 | 37 | return impl->m_DateTime; |
|
38 | 38 | } |
|
39 | 39 | |
|
40 | 40 | void Variable::setDateTime(const SqpDateTime &dateTime) noexcept |
|
41 | 41 | { |
|
42 | 42 | impl->m_DateTime = dateTime; |
|
43 | 43 | } |
|
44 | 44 | |
|
45 | 45 | void Variable::setDataSeries(std::shared_ptr<IDataSeries> dataSeries) noexcept |
|
46 | 46 | { |
|
47 | 47 | qCDebug(LOG_Variable()) << "Variable::setDataSeries" << QThread::currentThread()->objectName(); |
|
48 | 48 | if (!dataSeries) { |
|
49 | 49 | /// @todo ALX : log |
|
50 | 50 | return; |
|
51 | 51 | } |
|
52 | 52 | |
|
53 | 53 | // Inits the data series of the variable |
|
54 | 54 | if (!impl->m_DataSeries) { |
|
55 | 55 | impl->m_DataSeries = dataSeries->clone(); |
|
56 | 56 | } |
|
57 | 57 | else { |
|
58 | dataSeries->lockWrite(); | |
|
59 | impl->m_DataSeries->lockWrite(); | |
|
60 | 58 | impl->m_DataSeries->merge(dataSeries.get()); |
|
61 | impl->m_DataSeries->unlock(); | |
|
62 | dataSeries->unlock(); | |
|
63 | 59 | // emit updated(); |
|
64 | 60 | } |
|
65 | 61 | } |
|
66 | 62 | |
|
67 | 63 | IDataSeries *Variable::dataSeries() const noexcept |
|
68 | 64 | { |
|
69 | 65 | return impl->m_DataSeries.get(); |
|
70 | 66 | } |
|
71 | 67 | |
|
72 | 68 | QVariantHash Variable::metadata() const noexcept |
|
73 | 69 | { |
|
74 | 70 | return impl->m_Metadata; |
|
75 | 71 | } |
|
76 | 72 | |
|
77 | 73 | bool Variable::contains(const SqpDateTime &dateTime) const noexcept |
|
78 | 74 | { |
|
79 | 75 | return impl->m_DateTime.contains(dateTime); |
|
80 | 76 | } |
|
81 | 77 | |
|
82 | 78 | bool Variable::intersect(const SqpDateTime &dateTime) const noexcept |
|
83 | 79 | { |
|
84 | 80 | return impl->m_DateTime.intersect(dateTime); |
|
85 | 81 | } |
|
86 | 82 | |
|
87 | 83 | bool Variable::isInside(const SqpDateTime &dateTime) const noexcept |
|
88 | 84 | { |
|
89 | 85 | return dateTime.contains(SqpDateTime{impl->m_DateTime.m_TStart, impl->m_DateTime.m_TEnd}); |
|
90 | 86 | } |
@@ -1,159 +1,161 | |||
|
1 | 1 | #include "Visualization/VisualizationGraphHelper.h" |
|
2 | 2 | #include "Visualization/qcustomplot.h" |
|
3 | 3 | |
|
4 | 4 | #include <Data/ScalarSeries.h> |
|
5 | 5 | |
|
6 | 6 | #include <Variable/Variable.h> |
|
7 | 7 | |
|
8 | 8 | Q_LOGGING_CATEGORY(LOG_VisualizationGraphHelper, "VisualizationGraphHelper") |
|
9 | 9 | |
|
10 | 10 | namespace { |
|
11 | 11 | |
|
12 | 12 | class SqpDataContainer : public QCPGraphDataContainer { |
|
13 | 13 | public: |
|
14 |
void appendGraphData |
|
|
14 | void appendGraphData(const QCPGraphData &data) { mData.append(data); } | |
|
15 | 15 | }; |
|
16 | 16 | |
|
17 | 17 | |
|
18 | 18 | /// Format for datetimes on a axis |
|
19 | 19 | const auto DATETIME_TICKER_FORMAT = QStringLiteral("yyyy/MM/dd \nhh:mm:ss"); |
|
20 | 20 | |
|
21 | 21 | /// Generates the appropriate ticker for an axis, depending on whether the axis displays time or |
|
22 | 22 | /// non-time data |
|
23 | 23 | QSharedPointer<QCPAxisTicker> axisTicker(bool isTimeAxis) |
|
24 | 24 | { |
|
25 | 25 | if (isTimeAxis) { |
|
26 | 26 | auto dateTicker = QSharedPointer<QCPAxisTickerDateTime>::create(); |
|
27 | 27 | dateTicker->setDateTimeFormat(DATETIME_TICKER_FORMAT); |
|
28 | 28 | |
|
29 | 29 | return dateTicker; |
|
30 | 30 | } |
|
31 | 31 | else { |
|
32 | 32 | // default ticker |
|
33 | 33 | return QSharedPointer<QCPAxisTicker>::create(); |
|
34 | 34 | } |
|
35 | 35 | } |
|
36 | 36 | |
|
37 | 37 | void updateScalarData(QCPAbstractPlottable *component, ScalarSeries &scalarSeries, |
|
38 | 38 | const SqpDateTime &dateTime) |
|
39 | 39 | { |
|
40 | 40 | qCDebug(LOG_VisualizationGraphHelper()) << "TORM: updateScalarData" |
|
41 | 41 | << QThread::currentThread()->objectName(); |
|
42 | 42 | if (auto qcpGraph = dynamic_cast<QCPGraph *>(component)) { |
|
43 | // Clean the graph | |
|
44 | // NAIVE approch | |
|
45 | 43 | scalarSeries.lockRead(); |
|
46 | 44 | { |
|
47 | const auto xData = scalarSeries.xAxisData()->data(); | |
|
48 | const auto valuesData = scalarSeries.valuesData()->data(); | |
|
49 | const auto count = xData.count(); | |
|
50 | qCInfo(LOG_VisualizationGraphHelper()) << "TORM: Current points in cache" | |
|
51 | << xData.count(); | |
|
52 | ||
|
53 | auto dataContainer = qcpGraph->data(); | |
|
54 | dataContainer->clear(); | |
|
45 | const auto &xData = scalarSeries.xAxisData()->cdata(); | |
|
46 | const auto &valuesData = scalarSeries.valuesData()->cdata(); | |
|
47 | ||
|
48 | auto xDataBegin = xData.cbegin(); | |
|
49 | auto xDataEnd = xData.cend(); | |
|
50 | ||
|
51 | qCInfo(LOG_VisualizationGraphHelper()) | |
|
52 | << "TORM: Current points in cache" << xData.count(); | |
|
53 | ||
|
55 | 54 | auto sqpDataContainer = QSharedPointer<SqpDataContainer>::create(); |
|
56 | 55 | qcpGraph->setData(sqpDataContainer); |
|
57 | 56 | |
|
58 | for (auto i = 0; i < count; ++i) { | |
|
59 | const auto x = xData[i]; | |
|
60 | if (x >= dateTime.m_TStart && x <= dateTime.m_TEnd) { | |
|
61 | sqpDataContainer->appendGraphDataUnsorted(QCPGraphData(x, valuesData[i])); | |
|
62 | } | |
|
57 | auto lowerIt = std::lower_bound(xDataBegin, xDataEnd, dateTime.m_TStart); | |
|
58 | auto upperIt = std::upper_bound(xDataBegin, xDataEnd, dateTime.m_TEnd); | |
|
59 | auto distance = std::distance(xDataBegin, lowerIt); | |
|
60 | ||
|
61 | auto valuesDataIt = valuesData.cbegin() + distance; | |
|
62 | for (auto xAxisDataIt = lowerIt; xAxisDataIt != upperIt; | |
|
63 | ++xAxisDataIt, ++valuesDataIt) { | |
|
64 | sqpDataContainer->appendGraphData(QCPGraphData(*xAxisDataIt, *valuesDataIt)); | |
|
63 | 65 | } |
|
64 | sqpDataContainer->sort(); | |
|
65 |
qCInfo(LOG_VisualizationGraphHelper()) |
|
|
66 |
|
|
|
66 | ||
|
67 | qCInfo(LOG_VisualizationGraphHelper()) | |
|
68 | << "TORM: Current points displayed" << sqpDataContainer->size(); | |
|
67 | 69 | } |
|
68 | 70 | scalarSeries.unlock(); |
|
69 | 71 | |
|
70 | 72 | |
|
71 | 73 | // Display all data |
|
72 | 74 | component->parentPlot()->replot(); |
|
73 | 75 | } |
|
74 | 76 | else { |
|
75 | 77 | /// @todo DEBUG |
|
76 | 78 | } |
|
77 | 79 | } |
|
78 | 80 | |
|
79 | 81 | QCPAbstractPlottable *createScalarSeriesComponent(ScalarSeries &scalarSeries, QCustomPlot &plot, |
|
80 | 82 | const SqpDateTime &dateTime) |
|
81 | 83 | { |
|
82 | 84 | auto component = plot.addGraph(); |
|
83 | 85 | |
|
84 | 86 | if (component) { |
|
85 | 87 | // // Graph data |
|
86 | 88 | component->setData(scalarSeries.xAxisData()->data(), scalarSeries.valuesData()->data(), |
|
87 | 89 | true); |
|
88 | 90 | |
|
89 | 91 | updateScalarData(component, scalarSeries, dateTime); |
|
90 | 92 | |
|
91 | 93 | // Axes properties |
|
92 | 94 | /// @todo : for the moment, no control is performed on the axes: the units and the tickers |
|
93 | 95 | /// are fixed for the default x-axis and y-axis of the plot, and according to the new graph |
|
94 | 96 | |
|
95 | 97 | auto setAxisProperties = [](auto axis, const auto &unit) { |
|
96 | 98 | // label (unit name) |
|
97 | 99 | axis->setLabel(unit.m_Name); |
|
98 | 100 | |
|
99 | 101 | // ticker (depending on the type of unit) |
|
100 | 102 | axis->setTicker(axisTicker(unit.m_TimeUnit)); |
|
101 | 103 | }; |
|
102 | 104 | setAxisProperties(plot.xAxis, scalarSeries.xAxisUnit()); |
|
103 | 105 | setAxisProperties(plot.yAxis, scalarSeries.valuesUnit()); |
|
104 | 106 | |
|
105 | 107 | // Display all data |
|
106 | 108 | component->rescaleAxes(); |
|
107 | 109 | plot.replot(); |
|
108 | 110 | } |
|
109 | 111 | else { |
|
110 | 112 | qCDebug(LOG_VisualizationGraphHelper()) |
|
111 | 113 | << QObject::tr("Can't create graph for the scalar series"); |
|
112 | 114 | } |
|
113 | 115 | |
|
114 | 116 | return component; |
|
115 | 117 | } |
|
116 | 118 | |
|
117 | 119 | } // namespace |
|
118 | 120 | |
|
119 | 121 | QVector<QCPAbstractPlottable *> VisualizationGraphHelper::create(std::shared_ptr<Variable> variable, |
|
120 | 122 | QCustomPlot &plot) noexcept |
|
121 | 123 | { |
|
122 | 124 | auto result = QVector<QCPAbstractPlottable *>{}; |
|
123 | 125 | |
|
124 | 126 | if (variable) { |
|
125 | 127 | // Gets the data series of the variable to call the creation of the right components |
|
126 | 128 | // according to its type |
|
127 | 129 | if (auto scalarSeries = dynamic_cast<ScalarSeries *>(variable->dataSeries())) { |
|
128 | 130 | result.append(createScalarSeriesComponent(*scalarSeries, plot, variable->dateTime())); |
|
129 | 131 | } |
|
130 | 132 | else { |
|
131 | 133 | qCDebug(LOG_VisualizationGraphHelper()) |
|
132 | 134 | << QObject::tr("Can't create graph plottables : unmanaged data series type"); |
|
133 | 135 | } |
|
134 | 136 | } |
|
135 | 137 | else { |
|
136 | 138 | qCDebug(LOG_VisualizationGraphHelper()) |
|
137 | 139 | << QObject::tr("Can't create graph plottables : the variable is null"); |
|
138 | 140 | } |
|
139 | 141 | |
|
140 | 142 | return result; |
|
141 | 143 | } |
|
142 | 144 | |
|
143 | 145 | void VisualizationGraphHelper::updateData(QVector<QCPAbstractPlottable *> plotableVect, |
|
144 | 146 | IDataSeries *dataSeries, const SqpDateTime &dateTime) |
|
145 | 147 | { |
|
146 | 148 | if (auto scalarSeries = dynamic_cast<ScalarSeries *>(dataSeries)) { |
|
147 | 149 | if (plotableVect.size() == 1) { |
|
148 | 150 | updateScalarData(plotableVect.at(0), *scalarSeries, dateTime); |
|
149 | 151 | } |
|
150 | 152 | else { |
|
151 | 153 | qCCritical(LOG_VisualizationGraphHelper()) << QObject::tr( |
|
152 | 154 | "Can't update Data of a scalarSeries because there is not only one component " |
|
153 | 155 | "associated"); |
|
154 | 156 | } |
|
155 | 157 | } |
|
156 | 158 | else { |
|
157 | 159 | /// @todo DEBUG |
|
158 | 160 | } |
|
159 | 161 | } |
@@ -1,95 +1,101 | |||
|
1 | 1 | #include "CosinusProvider.h" |
|
2 | 2 | |
|
3 | 3 | #include <Data/DataProviderParameters.h> |
|
4 | 4 | #include <Data/ScalarSeries.h> |
|
5 | 5 | |
|
6 | 6 | #include <cmath> |
|
7 | 7 | |
|
8 | 8 | #include <QDateTime> |
|
9 | 9 | #include <QFuture> |
|
10 | 10 | #include <QThread> |
|
11 | 11 | #include <QtConcurrent/QtConcurrent> |
|
12 | 12 | |
|
13 | 13 | Q_LOGGING_CATEGORY(LOG_CosinusProvider, "CosinusProvider") |
|
14 | 14 | |
|
15 | 15 | std::shared_ptr<IDataSeries> CosinusProvider::retrieveData(QUuid token, const SqpDateTime &dateTime) |
|
16 | 16 | { |
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17 | 17 | // TODO: Add Mutex |
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18 | 18 | auto dataIndex = 0; |
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19 | 19 | |
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20 | 20 | // Gets the timerange from the parameters |
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21 | 21 | double freq = 100.0; |
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22 | double start = dateTime.m_TStart * freq; // 100 htz | |
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23 |
double end = dateTime.m_TEnd * freq; |
|
|
22 | double start = std::ceil(dateTime.m_TStart * freq); // 100 htz | |
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23 | double end = std::floor(dateTime.m_TEnd * freq); // 100 htz | |
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24 | 24 | |
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25 | 25 | // We assure that timerange is valid |
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26 | 26 | if (end < start) { |
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27 | 27 | std::swap(start, end); |
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28 | 28 | } |
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29 | 29 | |
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30 | 30 | // Generates scalar series containing cosinus values (one value per second) |
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31 | auto scalarSeries | |
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32 | = std::make_shared<ScalarSeries>(end - start, Unit{QStringLiteral("t"), true}, Unit{}); | |
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31 | auto dataCount = end - start; | |
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33 | 32 | |
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33 | auto xAxisData = QVector<double>{}; | |
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34 | xAxisData.resize(dataCount); | |
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35 | ||
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36 | auto valuesData = QVector<double>{}; | |
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37 | valuesData.resize(dataCount); | |
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34 | 38 | |
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35 | 39 | int progress = 0; |
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36 |
auto progressEnd = |
|
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40 | auto progressEnd = dataCount; | |
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37 | 41 | for (auto time = start; time < end; ++time, ++dataIndex) { |
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38 | 42 | auto it = m_VariableToEnableProvider.find(token); |
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39 | 43 | if (it != m_VariableToEnableProvider.end() && it.value()) { |
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40 | 44 | const auto timeOnFreq = time / freq; |
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41 | scalarSeries->setData(dataIndex, timeOnFreq, std::cos(timeOnFreq)); | |
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45 | ||
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46 | xAxisData.replace(dataIndex, timeOnFreq); | |
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47 | valuesData.replace(dataIndex, std::cos(timeOnFreq)); | |
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42 | 48 | |
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43 | 49 | // progression |
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44 | 50 | int currentProgress = (time - start) * 100.0 / progressEnd; |
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45 | 51 | if (currentProgress != progress) { |
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46 | 52 | progress = currentProgress; |
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47 | 53 | |
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48 | 54 | emit dataProvidedProgress(token, progress); |
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49 | 55 | } |
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50 | 56 | } |
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51 | 57 | else { |
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52 | 58 | if (!it.value()) { |
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53 | 59 | qCDebug(LOG_CosinusProvider()) |
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54 | 60 | << "CosinusProvider::retrieveData: ARRET De l'acquisition detectΓ©" |
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55 | 61 | << end - time; |
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56 | 62 | } |
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57 | 63 | } |
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58 | 64 | } |
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59 | 65 | emit dataProvidedProgress(token, 0.0); |
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60 | 66 | |
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61 | ||
|
62 | return scalarSeries; | |
|
67 | return std::make_shared<ScalarSeries>(std::move(xAxisData), std::move(valuesData), | |
|
68 | Unit{QStringLiteral("t"), true}, Unit{}); | |
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63 | 69 | } |
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64 | 70 | |
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65 | 71 | void CosinusProvider::requestDataLoading(QUuid token, const DataProviderParameters ¶meters) |
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66 | 72 | { |
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67 | 73 | // TODO: Add Mutex |
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68 | 74 | m_VariableToEnableProvider[token] = true; |
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69 | 75 | qCDebug(LOG_CosinusProvider()) << "CosinusProvider::requestDataLoading" |
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70 | 76 | << QThread::currentThread()->objectName(); |
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71 | 77 | // NOTE: Try to use multithread if possible |
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72 | 78 | const auto times = parameters.m_Times; |
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73 | 79 | |
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74 | 80 | for (const auto &dateTime : qAsConst(times)) { |
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75 | 81 | if (m_VariableToEnableProvider[token]) { |
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76 | 82 | auto scalarSeries = this->retrieveData(token, dateTime); |
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77 | 83 | emit dataProvided(token, scalarSeries, dateTime); |
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78 | 84 | } |
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79 | 85 | } |
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80 | 86 | } |
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81 | 87 | |
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82 | 88 | void CosinusProvider::requestDataAborting(QUuid identifier) |
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83 | 89 | { |
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84 | 90 | // TODO: Add Mutex |
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85 | 91 | qCDebug(LOG_CosinusProvider()) << "CosinusProvider::requestDataAborting" << identifier |
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86 | 92 | << QThread::currentThread()->objectName(); |
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87 | 93 | auto it = m_VariableToEnableProvider.find(identifier); |
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88 | 94 | if (it != m_VariableToEnableProvider.end()) { |
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89 | 95 | it.value() = false; |
|
90 | 96 | } |
|
91 | 97 | else { |
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92 | 98 | qCWarning(LOG_CosinusProvider()) |
|
93 | 99 | << tr("Aborting progression of inexistant identifier detected !!!"); |
|
94 | 100 | } |
|
95 | 101 | } |
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