@@ -0,0 +1,19 | |||
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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 |
@@ -0,0 +1,10 | |||
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1 | #ifndef SCIQLOP_VISUALIZATIONDEFS_H | |
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2 | #define SCIQLOP_VISUALIZATIONDEFS_H | |
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3 | ||
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4 | #include <map> | |
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5 | ||
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6 | class QCPAbstractPlottable; | |
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7 | ||
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8 | using PlottablesMap = std::map<int, QCPAbstractPlottable *>; | |
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9 | ||
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10 | #endif // SCIQLOP_VISUALIZATIONDEFS_H |
@@ -0,0 +1,29 | |||
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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 | } |
@@ -218,6 +218,8 public: | |||
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218 | 218 | } |
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219 | 219 | } |
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220 | 220 | |
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221 | int componentCount() const noexcept { return m_Data.size(); } | |
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222 | ||
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221 | 223 | /** |
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222 | 224 | * @return the data of a component |
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223 | 225 | * @param componentIndex the index of the component to retrieve the data |
@@ -208,11 +208,11 public: | |||
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208 | 208 | |
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209 | 209 | auto lowerIt |
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210 | 210 | = std::lower_bound(begin, end, min, [](const auto &itValue, const auto &value) { |
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211 |
return itValue.x() |
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211 | return itValue.x() < value; | |
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212 | 212 | }); |
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213 | 213 | auto upperIt |
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214 | 214 | = std::upper_bound(begin, end, max, [](const auto &value, const auto &itValue) { |
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215 |
return itValue.x() |
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215 | return value < itValue.x(); | |
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216 | 216 | }); |
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217 | 217 | |
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218 | 218 | return std::make_pair(lowerIt, upperIt); |
@@ -22,6 +22,13 private slots: | |||
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22 | 22 | |
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23 | 23 | /// Tests merge of two data series |
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24 | 24 | void testMerge(); |
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25 | ||
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26 | /// Input test data | |
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27 | /// @sa testSubdata() | |
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28 | void testSubdata_data(); | |
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29 | ||
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30 | /// Tests get subdata of two data series | |
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31 | void testSubdata(); | |
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25 | 32 | }; |
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26 | 33 | |
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27 | 34 | void TestDataSeries::testCtor_data() |
@@ -160,5 +167,66 void TestDataSeries::testMerge() | |||
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160 | 167 | seriesValuesData.cbegin())); |
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161 | 168 | } |
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162 | 169 | |
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170 | void TestDataSeries::testSubdata_data() | |
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171 | { | |
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172 | // ////////////// // | |
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173 | // Test structure // | |
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174 | // ////////////// // | |
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175 | ||
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176 | // Data series to get subdata | |
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177 | QTest::addColumn<std::shared_ptr<ScalarSeries> >("dataSeries"); | |
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178 | ||
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179 | // Min/max values | |
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180 | QTest::addColumn<double>("min"); | |
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181 | QTest::addColumn<double>("max"); | |
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182 | ||
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183 | // Expected values after subdata | |
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184 | QTest::addColumn<QVector<double> >("expectedXAxisData"); | |
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185 | QTest::addColumn<QVector<double> >("expectedValuesData"); | |
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186 | ||
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187 | // ////////// // | |
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188 | // Test cases // | |
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189 | // ////////// // | |
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190 | ||
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191 | QTest::newRow("subData1") << createSeries({1., 2., 3., 4., 5.}, {100., 200., 300., 400., 500.}) | |
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192 | << -1. << 3.2 << QVector<double>{1., 2., 3.} | |
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193 | << QVector<double>{100., 200., 300.}; | |
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194 | QTest::newRow("subData2") << createSeries({1., 2., 3., 4., 5.}, {100., 200., 300., 400., 500.}) | |
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195 | << 1. << 4. << QVector<double>{1., 2., 3., 4.} | |
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196 | << QVector<double>{100., 200., 300., 400.}; | |
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197 | QTest::newRow("subData3") << createSeries({1., 2., 3., 4., 5.}, {100., 200., 300., 400., 500.}) | |
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198 | << 1. << 3.9 << QVector<double>{1., 2., 3.} | |
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199 | << QVector<double>{100., 200., 300.}; | |
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200 | QTest::newRow("subData4") << createSeries({1., 2., 3., 4., 5.}, {100., 200., 300., 400., 500.}) | |
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201 | << 0. << 0.9 << QVector<double>{} << QVector<double>{}; | |
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202 | QTest::newRow("subData5") << createSeries({1., 2., 3., 4., 5.}, {100., 200., 300., 400., 500.}) | |
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203 | << 0. << 1. << QVector<double>{1.} << QVector<double>{100.}; | |
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204 | QTest::newRow("subData6") << createSeries({1., 2., 3., 4., 5.}, {100., 200., 300., 400., 500.}) | |
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205 | << 2.1 << 6. << QVector<double>{3., 4., 5.} | |
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206 | << QVector<double>{300., 400., 500.}; | |
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207 | QTest::newRow("subData7") << createSeries({1., 2., 3., 4., 5.}, {100., 200., 300., 400., 500.}) | |
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208 | << 6. << 9. << QVector<double>{} << QVector<double>{}; | |
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209 | QTest::newRow("subData8") << createSeries({1., 2., 3., 4., 5.}, {100., 200., 300., 400., 500.}) | |
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210 | << 5. << 9. << QVector<double>{5.} << QVector<double>{500.}; | |
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211 | } | |
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212 | ||
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213 | void TestDataSeries::testSubdata() | |
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214 | { | |
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215 | QFETCH(std::shared_ptr<ScalarSeries>, dataSeries); | |
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216 | QFETCH(double, min); | |
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217 | QFETCH(double, max); | |
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218 | ||
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219 | QFETCH(QVector<double>, expectedXAxisData); | |
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220 | QFETCH(QVector<double>, expectedValuesData); | |
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221 | ||
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222 | auto bounds = dataSeries->subData(min, max); | |
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223 | QVERIFY(std::equal(bounds.first, bounds.second, expectedXAxisData.cbegin(), | |
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224 | expectedXAxisData.cend(), | |
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225 | [](const auto &it, const auto &expectedX) { return it.x() == expectedX; })); | |
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226 | QVERIFY(std::equal( | |
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227 | bounds.first, bounds.second, expectedValuesData.cbegin(), expectedValuesData.cend(), | |
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228 | [](const auto &it, const auto &expectedVal) { return it.value() == expectedVal; })); | |
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229 | } | |
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230 | ||
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163 | 231 | QTEST_MAIN(TestDataSeries) |
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164 | 232 | #include "TestDataSeries.moc" |
@@ -1,6 +1,8 | |||
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1 | 1 | #ifndef SCIQLOP_VISUALIZATIONGRAPHHELPER_H |
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2 | 2 | #define SCIQLOP_VISUALIZATIONGRAPHHELPER_H |
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3 | 3 | |
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4 | #include "Visualization/VisualizationDefs.h" | |
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5 | ||
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4 | 6 | #include <Data/SqpRange.h> |
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5 | 7 | |
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6 | 8 | #include <QLoggingCategory> |
@@ -28,13 +30,10 struct VisualizationGraphHelper { | |||
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28 | 30 | * components. |
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29 | 31 | * @return the list of the components created |
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30 | 32 | */ |
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31 |
static |
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32 | QCustomPlot &plot) noexcept; | |
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33 | static QVector<QCPAbstractPlottable *> createV2(std::shared_ptr<Variable> variable, | |
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34 | QCustomPlot &plot) noexcept; | |
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33 | static PlottablesMap create(std::shared_ptr<Variable> variable, QCustomPlot &plot) noexcept; | |
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35 | 34 | |
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36 | static void updateData(QVector<QCPAbstractPlottable *> plotableVect, | |
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37 |
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35 | static void updateData(PlottablesMap &plottables, std::shared_ptr<IDataSeries> dataSeries, | |
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36 | const SqpRange &dateTime); | |
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38 | 37 | }; |
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39 | 38 | |
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40 | 39 | #endif // SCIQLOP_VISUALIZATIONGRAPHHELPER_H |
@@ -1,7 +1,10 | |||
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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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7 | #include <Data/VectorSeries.h> | |
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5 | 8 | |
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6 | 9 | #include <Variable/Variable.h> |
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7 | 10 | |
@@ -35,161 +38,203 QSharedPointer<QCPAxisTicker> axisTicker(bool isTimeAxis) | |||
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35 | 38 | } |
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36 | 39 | } |
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37 | 40 | |
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38 | void updateScalarData(QCPAbstractPlottable *component, std::shared_ptr<ScalarSeries> scalarSeries, | |
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39 | const SqpRange &range) | |
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41 | /// Sets axes properties according to the properties of a data series | |
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42 | template <int Dim> | |
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43 | void setAxesProperties(const DataSeries<Dim> &dataSeries, QCustomPlot &plot) noexcept | |
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40 | 44 | { |
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41 | qCDebug(LOG_VisualizationGraphHelper()) << "TORM: updateScalarData" | |
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42 | << QThread::currentThread()->objectName(); | |
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43 | if (auto qcpGraph = dynamic_cast<QCPGraph *>(component)) { | |
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44 | scalarSeries->lockRead(); | |
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45 | { | |
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46 | auto sqpDataContainer = QSharedPointer<SqpDataContainer>::create(); | |
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47 | qcpGraph->setData(sqpDataContainer); | |
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48 | auto bounds = scalarSeries->subData(range.m_TStart, range.m_TEnd); | |
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49 | for (auto it = bounds.first; it != bounds.second; ++it) { | |
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50 | sqpDataContainer->appendGraphData(QCPGraphData(it->x(), it->value())); | |
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51 | } | |
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52 | ||
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53 | qCInfo(LOG_VisualizationGraphHelper()) << "TODEBUG: Current points displayed" | |
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54 | << sqpDataContainer->size(); | |
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55 | } | |
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56 | scalarSeries->unlock(); | |
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57 | ||
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45 | /// @todo : for the moment, no control is performed on the axes: the units and the tickers | |
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46 | /// are fixed for the default x-axis and y-axis of the plot, and according to the new graph | |
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47 | auto setAxisProperties = [](auto axis, const auto &unit) { | |
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48 | // label (unit name) | |
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49 | axis->setLabel(unit.m_Name); | |
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50 | ||
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51 | // ticker (depending on the type of unit) | |
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52 | axis->setTicker(axisTicker(unit.m_TimeUnit)); | |
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53 | }; | |
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54 | setAxisProperties(plot.xAxis, dataSeries.xAxisUnit()); | |
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55 | setAxisProperties(plot.yAxis, dataSeries.valuesUnit()); | |
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56 | } | |
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58 | 57 | |
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59 | // Display all data | |
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60 | component->parentPlot()->replot(); | |
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61 | } | |
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62 | else { | |
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63 | /// @todo DEBUG | |
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58 | /** | |
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59 | * Struct used to create plottables, depending on the type of the data series from which to create them | |
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60 | * @tparam T the data series' type | |
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61 | * @remarks Default implementation can't create plottables | |
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62 | */ | |
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63 | template <typename T, typename Enabled = void> | |
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64 | struct PlottablesCreator { | |
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65 | static PlottablesMap createPlottables(T &, QCustomPlot &) | |
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66 | { | |
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67 | qCCritical(LOG_DataSeries()) | |
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68 | << QObject::tr("Can't create plottables: unmanaged data series type"); | |
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69 | return {}; | |
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64 | 70 | } |
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65 | } | |
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71 | }; | |
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66 | 72 | |
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67 | QCPAbstractPlottable *createScalarSeriesComponentV2(std::shared_ptr<ScalarSeries> scalarSeries, | |
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68 | QCustomPlot &plot) | |
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69 | { | |
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70 | auto component = plot.addGraph(); | |
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73 | /** | |
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74 | * Specialization of PlottablesCreator for scalars and vectors | |
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75 | * @sa ScalarSeries | |
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76 | * @sa VectorSeries | |
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77 | */ | |
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78 | template <typename T> | |
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79 | struct PlottablesCreator<T, | |
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80 | typename std::enable_if_t<std::is_base_of<ScalarSeries, T>::value | |
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81 | or std::is_base_of<VectorSeries, T>::value> > { | |
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82 | static PlottablesMap createPlottables(T &dataSeries, QCustomPlot &plot) | |
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83 | { | |
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84 | PlottablesMap result{}; | |
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85 | ||
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86 | // Gets the number of components of the data series | |
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87 | auto componentCount = dataSeries.valuesData()->componentCount(); | |
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88 | ||
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89 | auto colors = ColorUtils::colors(Qt::blue, Qt::red, componentCount); | |
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90 | ||
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91 | // For each component of the data series, creates a QCPGraph to add to the plot | |
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92 | for (auto i = 0; i < componentCount; ++i) { | |
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93 | auto graph = plot.addGraph(); | |
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94 | graph->setPen(QPen{colors.at(i)}); | |
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95 | ||
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96 | result.insert({i, graph}); | |
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97 | } | |
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71 | 98 | |
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72 | if (component) { | |
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73 | 99 | // Axes properties |
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74 | /// @todo : for the moment, no control is performed on the axes: the units and the tickers | |
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75 | /// are fixed for the default x-axis and y-axis of the plot, and according to the new graph | |
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76 | ||
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77 | auto setAxisProperties = [](auto axis, const auto &unit) { | |
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78 | // label (unit name) | |
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79 | axis->setLabel(unit.m_Name); | |
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80 | ||
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81 | // ticker (depending on the type of unit) | |
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82 | axis->setTicker(axisTicker(unit.m_TimeUnit)); | |
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83 | }; | |
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84 | setAxisProperties(plot.xAxis, scalarSeries->xAxisUnit()); | |
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85 | setAxisProperties(plot.yAxis, scalarSeries->valuesUnit()); | |
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100 | setAxesProperties(dataSeries, plot); | |
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101 | ||
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102 | plot.replot(); | |
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103 | ||
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104 | return result; | |
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86 | 105 | } |
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87 | return component; | |
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88 | } | |
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106 | }; | |
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89 | 107 | |
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90 | QCPAbstractPlottable *createScalarSeriesComponent(std::shared_ptr<ScalarSeries> scalarSeries, | |
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91 | QCustomPlot &plot, const SqpRange &dateTime) | |
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92 | { | |
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93 | auto component = plot.addGraph(); | |
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108 | /** | |
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109 | * Struct used to update plottables, depending on the type of the data series from which to update them | |
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110 | * @tparam T the data series' type | |
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111 | * @remarks Default implementation can't update plottables | |
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112 | */ | |
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113 | template <typename T, typename Enabled = void> | |
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114 | struct PlottablesUpdater { | |
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115 | static void updatePlottables(T &, PlottablesMap &, const SqpRange &, bool) | |
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116 | { | |
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117 | qCCritical(LOG_DataSeries()) | |
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118 | << QObject::tr("Can't update plottables: unmanaged data series type"); | |
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119 | } | |
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120 | }; | |
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94 | 121 | |
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95 | if (component) { | |
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96 | // // Graph data | |
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97 | component->setData(scalarSeries->xAxisData()->data(), scalarSeries->valuesData()->data(), | |
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98 | true); | |
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122 | /** | |
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123 | * Specialization of PlottablesUpdater for scalars and vectors | |
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124 | * @sa ScalarSeries | |
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125 | * @sa VectorSeries | |
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126 | */ | |
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127 | template <typename T> | |
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128 | struct PlottablesUpdater<T, | |
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129 | typename std::enable_if_t<std::is_base_of<ScalarSeries, T>::value | |
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130 | or std::is_base_of<VectorSeries, T>::value> > { | |
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131 | static void updatePlottables(T &dataSeries, PlottablesMap &plottables, const SqpRange &range, | |
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132 | bool rescaleAxes) | |
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133 | { | |
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134 | dataSeries.lockRead(); | |
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135 | ||
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136 | // For each plottable to update, resets its data | |
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137 | std::map<int, QSharedPointer<SqpDataContainer> > dataContainers{}; | |
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138 | for (const auto &plottable : plottables) { | |
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139 | if (auto graph = dynamic_cast<QCPGraph *>(plottable.second)) { | |
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140 | auto dataContainer = QSharedPointer<SqpDataContainer>::create(); | |
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141 | graph->setData(dataContainer); | |
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142 | ||
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143 | dataContainers.insert({plottable.first, dataContainer}); | |
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144 | } | |
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145 | } | |
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99 | 146 | |
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100 | updateScalarData(component, scalarSeries, dateTime); | |
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147 | // - Gets the data of the series included in the current range | |
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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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149 | auto subDataIts = dataSeries.subData(range.m_TStart, range.m_TEnd); | |
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150 | for (auto it = subDataIts.first; it != subDataIts.second; ++it) { | |
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151 | for (const auto &dataContainer : dataContainers) { | |
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152 | auto componentIndex = dataContainer.first; | |
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153 | dataContainer.second->appendGraphData( | |
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154 | QCPGraphData(it->x(), it->value(componentIndex))); | |
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155 | } | |
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156 | } | |
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101 | 157 | |
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102 | // Axes properties | |
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103 | /// @todo : for the moment, no control is performed on the axes: the units and the tickers | |
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104 | /// are fixed for the default x-axis and y-axis of the plot, and according to the new graph | |
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158 | dataSeries.unlock(); | |
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105 | 159 | |
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106 | auto setAxisProperties = [](auto axis, const auto &unit) { | |
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107 | // label (unit name) | |
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108 | axis->setLabel(unit.m_Name); | |
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160 | if (!plottables.empty()) { | |
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161 | auto plot = plottables.begin()->second->parentPlot(); | |
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109 | 162 | |
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110 | // ticker (depending on the type of unit) | |
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111 | axis->setTicker(axisTicker(unit.m_TimeUnit)); | |
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112 |
} |
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113 | setAxisProperties(plot.xAxis, scalarSeries->xAxisUnit()); | |
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114 | setAxisProperties(plot.yAxis, scalarSeries->valuesUnit()); | |
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163 | if (rescaleAxes) { | |
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164 | plot->rescaleAxes(); | |
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165 | } | |
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115 | 166 | |
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116 | // Display all data | |
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117 | component->rescaleAxes(); | |
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118 | plot.replot(); | |
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167 | plot->replot(); | |
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168 | } | |
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119 | 169 | } |
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120 | else { | |
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121 | qCDebug(LOG_VisualizationGraphHelper()) | |
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122 | << QObject::tr("Can't create graph for the scalar series"); | |
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170 | }; | |
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171 | ||
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172 | /** | |
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173 | * Helper used to create/update plottables | |
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174 | */ | |
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175 | struct IPlottablesHelper { | |
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176 | virtual ~IPlottablesHelper() noexcept = default; | |
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177 | virtual PlottablesMap create(QCustomPlot &plot) const = 0; | |
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178 | virtual void update(PlottablesMap &plottables, const SqpRange &range, | |
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179 | bool rescaleAxes = false) const = 0; | |
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180 | }; | |
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181 | ||
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182 | /** | |
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183 | * Default implementation of IPlottablesHelper, which takes data series to create/update plottables | |
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184 | * @tparam T the data series' type | |
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185 | */ | |
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186 | template <typename T> | |
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187 | struct PlottablesHelper : public IPlottablesHelper { | |
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188 | explicit PlottablesHelper(T &dataSeries) : m_DataSeries{dataSeries} {} | |
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189 | ||
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190 | PlottablesMap create(QCustomPlot &plot) const override | |
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191 | { | |
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192 | return PlottablesCreator<T>::createPlottables(m_DataSeries, plot); | |
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123 | 193 | } |
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124 | 194 | |
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125 | return component; | |
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126 | } | |
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195 | void update(PlottablesMap &plottables, const SqpRange &range, bool rescaleAxes) const override | |
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196 | { | |
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197 | PlottablesUpdater<T>::updatePlottables(m_DataSeries, plottables, range, rescaleAxes); | |
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198 | } | |
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127 | 199 | |
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128 | } // namespace | |
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200 | T &m_DataSeries; | |
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201 | }; | |
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129 | 202 | |
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130 | QVector<QCPAbstractPlottable *> | |
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131 | VisualizationGraphHelper::createV2(std::shared_ptr<Variable> variable, QCustomPlot &plot) noexcept | |
|
203 | /// Creates IPlottablesHelper according to a data series | |
|
204 | std::unique_ptr<IPlottablesHelper> createHelper(std::shared_ptr<IDataSeries> dataSeries) noexcept | |
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132 | 205 | { |
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133 | auto result = QVector<QCPAbstractPlottable *>{}; | |
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134 | ||
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135 | if (variable) { | |
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136 | // Gets the data series of the variable to call the creation of the right components | |
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137 | // according to its type | |
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138 | if (auto scalarSeries = std::dynamic_pointer_cast<ScalarSeries>(variable->dataSeries())) { | |
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139 | result.append(createScalarSeriesComponentV2(scalarSeries, plot)); | |
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140 | } | |
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141 | else { | |
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142 | qCDebug(LOG_VisualizationGraphHelper()) | |
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143 | << QObject::tr("Can't create graph plottables : unmanaged data series type"); | |
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144 | } | |
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206 | if (auto scalarSeries = std::dynamic_pointer_cast<ScalarSeries>(dataSeries)) { | |
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207 | return std::make_unique<PlottablesHelper<ScalarSeries> >(*scalarSeries); | |
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208 | } | |
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209 | else if (auto vectorSeries = std::dynamic_pointer_cast<VectorSeries>(dataSeries)) { | |
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210 | return std::make_unique<PlottablesHelper<VectorSeries> >(*vectorSeries); | |
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145 | 211 | } |
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146 | 212 | else { |
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147 | qCDebug(LOG_VisualizationGraphHelper()) | |
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148 | << QObject::tr("Can't create graph plottables : the variable is null"); | |
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213 | return std::make_unique<PlottablesHelper<IDataSeries> >(*dataSeries); | |
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149 | 214 | } |
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150 | ||
|
151 | return result; | |
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152 | 215 | } |
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153 | 216 | |
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154 | QVector<QCPAbstractPlottable *> VisualizationGraphHelper::create(std::shared_ptr<Variable> variable, | |
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155 | QCustomPlot &plot) noexcept | |
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156 | { | |
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157 | auto result = QVector<QCPAbstractPlottable *>{}; | |
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217 | } // namespace | |
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158 | 218 | |
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219 | PlottablesMap VisualizationGraphHelper::create(std::shared_ptr<Variable> variable, | |
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220 | QCustomPlot &plot) noexcept | |
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221 | { | |
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159 | 222 | if (variable) { |
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160 | // Gets the data series of the variable to call the creation of the right components | |
|
161 | // according to its type | |
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162 | if (auto scalarSeries = std::dynamic_pointer_cast<ScalarSeries>(variable->dataSeries())) { | |
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163 | result.append(createScalarSeriesComponent(scalarSeries, plot, variable->range())); | |
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164 | } | |
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165 | else { | |
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166 | qCDebug(LOG_VisualizationGraphHelper()) | |
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167 | << QObject::tr("Can't create graph plottables : unmanaged data series type"); | |
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168 | } | |
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223 | auto helper = createHelper(variable->dataSeries()); | |
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224 | auto plottables = helper->create(plot); | |
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225 | return plottables; | |
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169 | 226 | } |
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170 | 227 | else { |
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171 | 228 | qCDebug(LOG_VisualizationGraphHelper()) |
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172 | 229 | << QObject::tr("Can't create graph plottables : the variable is null"); |
|
230 | return PlottablesMap{}; | |
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173 | 231 | } |
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174 | ||
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175 | return result; | |
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176 | 232 | } |
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177 | 233 | |
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178 |
void VisualizationGraphHelper::updateData( |
|
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234 | void VisualizationGraphHelper::updateData(PlottablesMap &plottables, | |
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179 | 235 | std::shared_ptr<IDataSeries> dataSeries, |
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180 | 236 | const SqpRange &dateTime) |
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181 | 237 | { |
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182 | if (auto scalarSeries = std::dynamic_pointer_cast<ScalarSeries>(dataSeries)) { | |
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183 | if (plotableVect.size() == 1) { | |
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184 | updateScalarData(plotableVect.at(0), scalarSeries, dateTime); | |
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185 | } | |
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186 | else { | |
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187 | qCCritical(LOG_VisualizationGraphHelper()) << QObject::tr( | |
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188 | "Can't update Data of a scalarSeries because there is not only one component " | |
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189 | "associated"); | |
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190 | } | |
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191 | } | |
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192 | else { | |
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193 | /// @todo DEBUG | |
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194 | } | |
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238 | auto helper = createHelper(dataSeries); | |
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239 | helper->update(plottables, dateTime); | |
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195 | 240 | } |
@@ -1,5 +1,6 | |||
|
1 | 1 | #include "Visualization/VisualizationGraphWidget.h" |
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2 | 2 | #include "Visualization/IVisualizationWidgetVisitor.h" |
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3 | #include "Visualization/VisualizationDefs.h" | |
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3 | 4 | #include "Visualization/VisualizationGraphHelper.h" |
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4 | 5 | #include "Visualization/VisualizationGraphRenderingDelegate.h" |
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5 | 6 | #include "ui_VisualizationGraphWidget.h" |
@@ -33,7 +34,7 struct VisualizationGraphWidget::VisualizationGraphWidgetPrivate { | |||
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33 | 34 | } |
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34 | 35 | |
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35 | 36 | // 1 variable -> n qcpplot |
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36 |
std:: |
|
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37 | std::map<std::shared_ptr<Variable>, PlottablesMap> m_VariableToPlotMultiMap; | |
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37 | 38 | bool m_DoAcquisition; |
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38 | 39 | bool m_IsCalibration; |
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39 | 40 | QCPItemTracer *m_TextTracer; |
@@ -99,11 +100,8 void VisualizationGraphWidget::enableAcquisition(bool enable) | |||
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99 | 100 | void VisualizationGraphWidget::addVariable(std::shared_ptr<Variable> variable, SqpRange range) |
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100 | 101 | { |
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101 | 102 | // Uses delegate to create the qcpplot components according to the variable |
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102 |
auto createdPlottables = VisualizationGraphHelper::create |
|
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103 | ||
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104 | for (auto createdPlottable : qAsConst(createdPlottables)) { | |
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105 | impl->m_VariableToPlotMultiMap.insert({variable, createdPlottable}); | |
|
106 | } | |
|
103 | auto createdPlottables = VisualizationGraphHelper::create(variable, *ui->widget); | |
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104 | impl->m_VariableToPlotMultiMap.insert({variable, std::move(createdPlottables)}); | |
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107 | 105 | |
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108 | 106 | connect(variable.get(), SIGNAL(updated()), this, SLOT(onDataCacheVariableUpdated())); |
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109 | 107 | |
@@ -124,10 +122,17 void VisualizationGraphWidget::removeVariable(std::shared_ptr<Variable> variable | |||
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124 | 122 | // Each component associated to the variable : |
|
125 | 123 | // - is removed from qcpplot (which deletes it) |
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126 | 124 | // - is no longer referenced in the map |
|
127 |
auto |
|
|
128 | for (auto it = componentsIt.first; it != componentsIt.second;) { | |
|
129 |
|
|
|
130 | it = impl->m_VariableToPlotMultiMap.erase(it); | |
|
125 | auto variableIt = impl->m_VariableToPlotMultiMap.find(variable); | |
|
126 | if (variableIt != impl->m_VariableToPlotMultiMap.cend()) { | |
|
127 | auto &plottablesMap = variableIt->second; | |
|
128 | ||
|
129 | for (auto plottableIt = plottablesMap.cbegin(), plottableEnd = plottablesMap.cend(); | |
|
130 | plottableIt != plottableEnd;) { | |
|
131 | ui->widget->removePlottable(plottableIt->second); | |
|
132 | plottableIt = plottablesMap.erase(plottableIt); | |
|
133 | } | |
|
134 | ||
|
135 | impl->m_VariableToPlotMultiMap.erase(variableIt); | |
|
131 | 136 | } |
|
132 | 137 | |
|
133 | 138 | // Updates graph |
@@ -282,29 +287,18 void VisualizationGraphWidget::onMouseRelease(QMouseEvent *event) noexcept | |||
|
282 | 287 | |
|
283 | 288 | void VisualizationGraphWidget::onDataCacheVariableUpdated() |
|
284 | 289 | { |
|
285 | // NOTE: | |
|
286 | // We don't want to call the method for each component of a variable unitarily, but for | |
|
287 | // all | |
|
288 | // its components at once (eg its three components in the case of a vector). | |
|
289 | ||
|
290 | // The unordered_multimap does not do this easily, so the question is whether to: | |
|
291 | // - use an ordered_multimap and the algos of std to group the values by key | |
|
292 | // - use a map (unique keys) and store as values directly the list of components | |
|
293 | ||
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294 | 290 | auto graphRange = ui->widget->xAxis->range(); |
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295 | 291 | auto dateTime = SqpRange{graphRange.lower, graphRange.upper}; |
|
296 | 292 | |
|
297 |
for (auto it |
|
|
298 | it != impl->m_VariableToPlotMultiMap.cend(); ++it) { | |
|
299 | auto variable = it->first; | |
|
293 | for (auto &variableEntry : impl->m_VariableToPlotMultiMap) { | |
|
294 | auto variable = variableEntry.first; | |
|
300 | 295 | qCDebug(LOG_VisualizationGraphWidget()) |
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301 | 296 | << "TORM: VisualizationGraphWidget::onDataCacheVariableUpdated S" << variable->range(); |
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302 | 297 | qCDebug(LOG_VisualizationGraphWidget()) |
|
303 | 298 | << "TORM: VisualizationGraphWidget::onDataCacheVariableUpdated E" << dateTime; |
|
304 | 299 | if (dateTime.contains(variable->range()) || dateTime.intersect(variable->range())) { |
|
305 | ||
|
306 | VisualizationGraphHelper::updateData(QVector<QCPAbstractPlottable *>{} << it->second, | |
|
307 | variable->dataSeries(), variable->range()); | |
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300 | VisualizationGraphHelper::updateData(variableEntry.second, variable->dataSeries(), | |
|
301 | variable->range()); | |
|
308 | 302 | } |
|
309 | 303 | } |
|
310 | 304 | } |
@@ -312,9 +306,8 void VisualizationGraphWidget::onDataCacheVariableUpdated() | |||
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312 | 306 | void VisualizationGraphWidget::onUpdateVarDisplaying(std::shared_ptr<Variable> variable, |
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313 | 307 | const SqpRange &range) |
|
314 | 308 | { |
|
315 |
auto |
|
|
316 | for (auto it = componentsIt.first; it != componentsIt.second;) { | |
|
317 |
VisualizationGraphHelper::updateData( |
|
|
318 | variable->dataSeries(), range); | |
|
309 | auto it = impl->m_VariableToPlotMultiMap.find(variable); | |
|
310 | if (it != impl->m_VariableToPlotMultiMap.end()) { | |
|
311 | VisualizationGraphHelper::updateData(it->second, variable->dataSeries(), range); | |
|
319 | 312 | } |
|
320 | 313 | } |
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