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1 Subproject commit 698d7cfa01b05427c2377ce2799f1290b9eab2ca
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1 #include "Visualization/VisualizationGraphHelper.h"
1 #include "Visualization/VisualizationGraphHelper.h"
2 #include "Visualization/qcustomplot.h"
2 #include "Visualization/qcustomplot.h"
3
3
4 #include <Data/ScalarTimeSerie.h>
4 #include <Data/ScalarTimeSerie.h>
5 #include <Data/SpectrogramTimeSerie.h>
5 #include <Data/SpectrogramTimeSerie.h>
6 #include <Data/TimeSeriesUtils.h>
6 #include <Data/VectorTimeSerie.h>
7 #include <Data/VectorTimeSerie.h>
7
8
9 #include <Common/cpp_utils.h>
8 #include <Variable/Variable2.h>
10 #include <Variable/Variable2.h>
11 #include <algorithm>
9
12
10 Q_LOGGING_CATEGORY(LOG_VisualizationGraphHelper, "VisualizationGraphHelper")
13 Q_LOGGING_CATEGORY(LOG_VisualizationGraphHelper, "VisualizationGraphHelper")
11
14
12 namespace
15 namespace
13 {
16 {
14
17
15 class SqpDataContainer : public QCPGraphDataContainer
18 class SqpDataContainer : public QCPGraphDataContainer
16 {
19 {
17 public:
20 public:
18 void appendGraphData(const QCPGraphData& data) { mData.append(data); }
21 void appendGraphData(const QCPGraphData& data) { mData.append(data); }
19 };
22 };
20
23
21 /**
24 /**
22 * Struct used to create plottables, depending on the type of the data series from which to create
25 * Struct used to create plottables, depending on the type of the data series from which to create
23 * them
26 * them
24 * @tparam T the data series' type
27 * @tparam T the data series' type
25 * @remarks Default implementation can't create plottables
28 * @remarks Default implementation can't create plottables
26 */
29 */
27 template <typename T, typename Enabled = void>
30 template <typename T, typename Enabled = void>
28 struct PlottablesCreator
31 struct PlottablesCreator
29 {
32 {
30 static PlottablesMap createPlottables(QCustomPlot&, const std::shared_ptr<T>& dataSeries)
33 static PlottablesMap createPlottables(QCustomPlot&, const std::shared_ptr<T>& dataSeries)
31 {
34 {
32 return {};
35 return {};
33 }
36 }
34 };
37 };
35
38
36 PlottablesMap createGraphs(QCustomPlot& plot, int nbGraphs)
39 PlottablesMap createGraphs(QCustomPlot& plot, int nbGraphs)
37 {
40 {
38 PlottablesMap result {};
41 PlottablesMap result {};
39
42
40 // Creates {nbGraphs} QCPGraph to add to the plot
43 // Creates {nbGraphs} QCPGraph to add to the plot
41 for (auto i = 0; i < nbGraphs; ++i)
44 for (auto i = 0; i < nbGraphs; ++i)
42 {
45 {
43 auto graph = plot.addGraph();
46 auto graph = plot.addGraph();
44 result.insert({ i, graph });
47 result.insert({ i, graph });
45 }
48 }
46
49
47 plot.replot();
50 plot.replot();
48
51
49 return result;
52 return result;
50 }
53 }
51
54
52 /**
55 /**
53 * Specialization of PlottablesCreator for scalars
56 * Specialization of PlottablesCreator for scalars
54 * @sa ScalarSeries
57 * @sa ScalarSeries
55 */
58 */
56 template <typename T>
59 template <typename T>
57 struct PlottablesCreator<T, typename std::enable_if_t<std::is_base_of<ScalarTimeSerie, T>::value>>
60 struct PlottablesCreator<T, typename std::enable_if_t<std::is_base_of<ScalarTimeSerie, T>::value>>
58 {
61 {
59 static PlottablesMap createPlottables(QCustomPlot& plot, const std::shared_ptr<T>& dataSeries)
62 static PlottablesMap createPlottables(QCustomPlot& plot, const std::shared_ptr<T>& dataSeries)
60 {
63 {
61 return createGraphs(plot, 1);
64 return createGraphs(plot, 1);
62 }
65 }
63 };
66 };
64
67
65 /**
68 /**
66 * Specialization of PlottablesCreator for vectors
69 * Specialization of PlottablesCreator for vectors
67 * @sa VectorSeries
70 * @sa VectorSeries
68 */
71 */
69 template <typename T>
72 template <typename T>
70 struct PlottablesCreator<T, typename std::enable_if_t<std::is_base_of<VectorTimeSerie, T>::value>>
73 struct PlottablesCreator<T, typename std::enable_if_t<std::is_base_of<VectorTimeSerie, T>::value>>
71 {
74 {
72 static PlottablesMap createPlottables(QCustomPlot& plot, const std::shared_ptr<T>& dataSeries)
75 static PlottablesMap createPlottables(QCustomPlot& plot, const std::shared_ptr<T>& dataSeries)
73 {
76 {
74 return createGraphs(plot, 3);
77 return createGraphs(plot, 3);
75 }
78 }
76 };
79 };
77
80
78 /**
81 /**
79 * Specialization of PlottablesCreator for MultiComponentTimeSeries
82 * Specialization of PlottablesCreator for MultiComponentTimeSeries
80 * @sa VectorSeries
83 * @sa VectorSeries
81 */
84 */
82 template <typename T>
85 template <typename T>
83 struct PlottablesCreator<T,
86 struct PlottablesCreator<T,
84 typename std::enable_if_t<std::is_base_of<MultiComponentTimeSerie, T>::value>>
87 typename std::enable_if_t<std::is_base_of<MultiComponentTimeSerie, T>::value>>
85 {
88 {
86 static PlottablesMap createPlottables(QCustomPlot& plot, const std::shared_ptr<T>& dataSeries)
89 static PlottablesMap createPlottables(QCustomPlot& plot, const std::shared_ptr<T>& dataSeries)
87 {
90 {
88 return createGraphs(plot, dataSeries->size(1));
91 return createGraphs(plot, dataSeries->size(1));
89 }
92 }
90 };
93 };
91
94
92 /**
95 /**
93 * Specialization of PlottablesCreator for spectrograms
96 * Specialization of PlottablesCreator for spectrograms
94 * @sa SpectrogramSeries
97 * @sa SpectrogramSeries
95 */
98 */
96 template <typename T>
99 template <typename T>
97 struct PlottablesCreator<T,
100 struct PlottablesCreator<T,
98 typename std::enable_if_t<std::is_base_of<SpectrogramTimeSerie, T>::value>>
101 typename std::enable_if_t<std::is_base_of<SpectrogramTimeSerie, T>::value>>
99 {
102 {
100 static PlottablesMap createPlottables(QCustomPlot& plot, const std::shared_ptr<T>& dataSeries)
103 static PlottablesMap createPlottables(QCustomPlot& plot, const std::shared_ptr<T>& dataSeries)
101 {
104 {
102 PlottablesMap result {};
105 PlottablesMap result {};
103 result.insert({ 0, new QCPColorMap { plot.xAxis, plot.yAxis } });
106 result.insert({ 0, new QCPColorMap { plot.xAxis, plot.yAxis } });
104
107
105 plot.replot();
108 plot.replot();
106
109
107 return result;
110 return result;
108 }
111 }
109 };
112 };
110
113
111 /**
114 /**
112 * Struct used to update plottables, depending on the type of the data series from which to update
115 * Struct used to update plottables, depending on the type of the data series from which to update
113 * them
116 * them
114 * @tparam T the data series' type
117 * @tparam T the data series' type
115 * @remarks Default implementation can't update plottables
118 * @remarks Default implementation can't update plottables
116 */
119 */
117 template <typename T, typename Enabled = void>
120 template <typename T, typename Enabled = void>
118 struct PlottablesUpdater
121 struct PlottablesUpdater
119 {
122 {
120 static void setPlotYAxisRange(T&, const DateTimeRange&, QCustomPlot&)
123 static void setPlotYAxisRange(T&, const DateTimeRange&, QCustomPlot&)
121 {
124 {
122 qCCritical(LOG_VisualizationGraphHelper())
125 qCCritical(LOG_VisualizationGraphHelper())
123 << QObject::tr("Can't set plot y-axis range: unmanaged data series type");
126 << QObject::tr("Can't set plot y-axis range: unmanaged data series type");
124 }
127 }
125
128
126 static void updatePlottables(T&, PlottablesMap&, const DateTimeRange&, bool)
129 static void updatePlottables(T&, PlottablesMap&, const DateTimeRange&, bool)
127 {
130 {
128 qCCritical(LOG_VisualizationGraphHelper())
131 qCCritical(LOG_VisualizationGraphHelper())
129 << QObject::tr("Can't update plottables: unmanaged data series type");
132 << QObject::tr("Can't update plottables: unmanaged data series type");
130 }
133 }
131 };
134 };
132
135
133 /**
136 /**
134 * Specialization of PlottablesUpdater for scalars and vectors
137 * Specialization of PlottablesUpdater for scalars and vectors
135 * @sa ScalarSeries
138 * @sa ScalarSeries
136 * @sa VectorSeries
139 * @sa VectorSeries
137 */
140 */
138 template <typename T>
141 template <typename T>
139 struct PlottablesUpdater<T, typename std::enable_if_t<std::is_base_of<ScalarTimeSerie, T>::value>>
142 struct PlottablesUpdater<T, typename std::enable_if_t<std::is_base_of<ScalarTimeSerie, T>::value>>
140 {
143 {
141 static void setPlotYAxisRange(T& dataSeries, const DateTimeRange& xAxisRange, QCustomPlot& plot)
144 static void setPlotYAxisRange(T& dataSeries, const DateTimeRange& xAxisRange, QCustomPlot& plot)
142 {
145 {
143 auto minValue = 0., maxValue = 0.;
146 auto minValue = 0., maxValue = 0.;
144 if (auto serie = dynamic_cast<ScalarTimeSerie*>(&dataSeries))
147 if (auto serie = dynamic_cast<ScalarTimeSerie*>(&dataSeries))
145 {
148 {
146 if (serie->size())
149 if (serie->size())
147 {
150 {
148 maxValue = (*std::max_element(std::begin(*serie), std::end(*serie))).v();
151 maxValue = (*std::max_element(std::begin(*serie), std::end(*serie))).v();
149 minValue = (*std::min_element(std::begin(*serie), std::end(*serie))).v();
152 minValue = (*std::min_element(std::begin(*serie), std::end(*serie))).v();
150 }
153 }
151 }
154 }
152 plot.yAxis->setRange(QCPRange { minValue, maxValue });
155 plot.yAxis->setRange(QCPRange { minValue, maxValue });
153 }
156 }
154
157
155 static void updatePlottables(
158 static void updatePlottables(
156 T& dataSeries, PlottablesMap& plottables, const DateTimeRange& range, bool rescaleAxes)
159 T& dataSeries, PlottablesMap& plottables, const DateTimeRange& range, bool rescaleAxes)
157 {
160 {
158
161
159 // For each plottable to update, resets its data
162 // For each plottable to update, resets its data
160 for (const auto& plottable : plottables)
163 for (const auto& plottable : plottables)
161 {
164 {
162 if (auto graph = dynamic_cast<QCPGraph*>(plottable.second))
165 if (auto graph = dynamic_cast<QCPGraph*>(plottable.second))
163 {
166 {
164 auto dataContainer = QSharedPointer<SqpDataContainer>::create();
167 auto dataContainer = QSharedPointer<SqpDataContainer>::create();
165 if (auto serie = dynamic_cast<ScalarTimeSerie*>(&dataSeries))
168 if (auto serie = dynamic_cast<ScalarTimeSerie*>(&dataSeries))
166 {
169 {
167 std::for_each(
170 std::for_each(
168 std::begin(*serie), std::end(*serie), [&dataContainer](const auto& value) {
171 std::begin(*serie), std::end(*serie), [&dataContainer](const auto& value) {
169 dataContainer->appendGraphData(QCPGraphData(value.t(), value.v()));
172 dataContainer->appendGraphData(QCPGraphData(value.t(), value.v()));
170 });
173 });
171 }
174 }
172 graph->setData(dataContainer);
175 graph->setData(dataContainer);
173 }
176 }
174 }
177 }
175
178
176 if (!plottables.empty())
179 if (!plottables.empty())
177 {
180 {
178 auto plot = plottables.begin()->second->parentPlot();
181 auto plot = plottables.begin()->second->parentPlot();
179
182
180 if (rescaleAxes)
183 if (rescaleAxes)
181 {
184 {
182 plot->rescaleAxes();
185 plot->rescaleAxes();
183 }
186 }
184 }
187 }
185 }
188 }
186 };
189 };
187
190
188
191
189 template <typename T>
192 template <typename T>
190 struct PlottablesUpdater<T, typename std::enable_if_t<std::is_base_of<VectorTimeSerie, T>::value>>
193 struct PlottablesUpdater<T, typename std::enable_if_t<std::is_base_of<VectorTimeSerie, T>::value>>
191 {
194 {
192 static void setPlotYAxisRange(T& dataSeries, const DateTimeRange& xAxisRange, QCustomPlot& plot)
195 static void setPlotYAxisRange(T& dataSeries, const DateTimeRange& xAxisRange, QCustomPlot& plot)
193 {
196 {
194 double minValue = 0., maxValue = 0.;
197 double minValue = 0., maxValue = 0.;
195 if (auto serie = dynamic_cast<VectorTimeSerie*>(&dataSeries))
198 if (auto serie = dynamic_cast<VectorTimeSerie*>(&dataSeries))
196 {
199 {
197 std::for_each(
200 std::for_each(
198 std::begin(*serie), std::end(*serie), [&minValue, &maxValue](const auto& v) {
201 std::begin(*serie), std::end(*serie), [&minValue, &maxValue](const auto& v) {
199 minValue = std::min({ minValue, v.v().x, v.v().y, v.v().z });
202 minValue = std::min({ minValue, v.v().x, v.v().y, v.v().z });
200 maxValue = std::max({ maxValue, v.v().x, v.v().y, v.v().z });
203 maxValue = std::max({ maxValue, v.v().x, v.v().y, v.v().z });
201 });
204 });
202 }
205 }
203
206
204 plot.yAxis->setRange(QCPRange { minValue, maxValue });
207 plot.yAxis->setRange(QCPRange { minValue, maxValue });
205 }
208 }
206
209
207 static void updatePlottables(
210 static void updatePlottables(
208 T& dataSeries, PlottablesMap& plottables, const DateTimeRange& range, bool rescaleAxes)
211 T& dataSeries, PlottablesMap& plottables, const DateTimeRange& range, bool rescaleAxes)
209 {
212 {
210
213
211 // For each plottable to update, resets its data
214 // For each plottable to update, resets its data
212 for (const auto& plottable : plottables)
215 for (const auto& plottable : plottables)
213 {
216 {
214 if (auto graph = dynamic_cast<QCPGraph*>(plottable.second))
217 if (auto graph = dynamic_cast<QCPGraph*>(plottable.second))
215 {
218 {
216 auto dataContainer = QSharedPointer<SqpDataContainer>::create();
219 auto dataContainer = QSharedPointer<SqpDataContainer>::create();
217 if (auto serie = dynamic_cast<VectorTimeSerie*>(&dataSeries))
220 if (auto serie = dynamic_cast<VectorTimeSerie*>(&dataSeries))
218 {
221 {
219 switch (plottable.first)
222 switch (plottable.first)
220 {
223 {
221 case 0:
224 case 0:
222 std::for_each(std::begin(*serie), std::end(*serie),
225 std::for_each(std::begin(*serie), std::end(*serie),
223 [&dataContainer](const auto& value) {
226 [&dataContainer](const auto& value) {
224 dataContainer->appendGraphData(
227 dataContainer->appendGraphData(
225 QCPGraphData(value.t(), value.v().x));
228 QCPGraphData(value.t(), value.v().x));
226 });
229 });
227 break;
230 break;
228 case 1:
231 case 1:
229 std::for_each(std::begin(*serie), std::end(*serie),
232 std::for_each(std::begin(*serie), std::end(*serie),
230 [&dataContainer](const auto& value) {
233 [&dataContainer](const auto& value) {
231 dataContainer->appendGraphData(
234 dataContainer->appendGraphData(
232 QCPGraphData(value.t(), value.v().y));
235 QCPGraphData(value.t(), value.v().y));
233 });
236 });
234 break;
237 break;
235 case 2:
238 case 2:
236 std::for_each(std::begin(*serie), std::end(*serie),
239 std::for_each(std::begin(*serie), std::end(*serie),
237 [&dataContainer](const auto& value) {
240 [&dataContainer](const auto& value) {
238 dataContainer->appendGraphData(
241 dataContainer->appendGraphData(
239 QCPGraphData(value.t(), value.v().z));
242 QCPGraphData(value.t(), value.v().z));
240 });
243 });
241 break;
244 break;
242 default:
245 default:
243 break;
246 break;
244 }
247 }
245 }
248 }
246 graph->setData(dataContainer);
249 graph->setData(dataContainer);
247 }
250 }
248 }
251 }
249
252
250 if (!plottables.empty())
253 if (!plottables.empty())
251 {
254 {
252 auto plot = plottables.begin()->second->parentPlot();
255 auto plot = plottables.begin()->second->parentPlot();
253
256
254 if (rescaleAxes)
257 if (rescaleAxes)
255 {
258 {
256 plot->rescaleAxes();
259 plot->rescaleAxes();
257 }
260 }
258 }
261 }
259 }
262 }
260 };
263 };
261
264
262
265
263 template <typename T>
266 template <typename T>
264 struct PlottablesUpdater<T,
267 struct PlottablesUpdater<T,
265 typename std::enable_if_t<std::is_base_of<MultiComponentTimeSerie, T>::value>>
268 typename std::enable_if_t<std::is_base_of<MultiComponentTimeSerie, T>::value>>
266 {
269 {
267 static void setPlotYAxisRange(T& dataSeries, const DateTimeRange& xAxisRange, QCustomPlot& plot)
270 static void setPlotYAxisRange(T& dataSeries, const DateTimeRange& xAxisRange, QCustomPlot& plot)
268 {
271 {
269 double minValue = 0., maxValue = 0.;
272 double minValue = 0., maxValue = 0.;
270 if (auto serie = dynamic_cast<MultiComponentTimeSerie*>(&dataSeries))
273 if (auto serie = dynamic_cast<MultiComponentTimeSerie*>(&dataSeries))
271 {
274 {
272 std::for_each(
275 std::for_each(
273 std::begin(*serie), std::end(*serie), [&minValue, &maxValue](const auto& v) {
276 std::begin(*serie), std::end(*serie), [&minValue, &maxValue](const auto& v) {
274 minValue = std::min(minValue, std::min_element(v.begin(), v.end())->v());
277 minValue = std::min(minValue, std::min_element(v.begin(), v.end())->v());
275 maxValue = std::max(maxValue, std::max_element(v.begin(), v.end())->v());
278 maxValue = std::max(maxValue, std::max_element(v.begin(), v.end())->v());
276 });
279 });
277 }
280 }
278 plot.yAxis->setRange(QCPRange { minValue, maxValue });
281 plot.yAxis->setRange(QCPRange { minValue, maxValue });
279 }
282 }
280
283
281 static void updatePlottables(
284 static void updatePlottables(
282 T& dataSeries, PlottablesMap& plottables, const DateTimeRange& range, bool rescaleAxes)
285 T& dataSeries, PlottablesMap& plottables, const DateTimeRange& range, bool rescaleAxes)
283 {
286 {
284 for (const auto& plottable : plottables)
287 for (const auto& plottable : plottables)
285 {
288 {
286 if (auto graph = dynamic_cast<QCPGraph*>(plottable.second))
289 if (auto graph = dynamic_cast<QCPGraph*>(plottable.second))
287 {
290 {
288 auto dataContainer = QSharedPointer<SqpDataContainer>::create();
291 auto dataContainer = QSharedPointer<SqpDataContainer>::create();
289 if (auto serie = dynamic_cast<MultiComponentTimeSerie*>(&dataSeries))
292 if (auto serie = dynamic_cast<MultiComponentTimeSerie*>(&dataSeries))
290 {
293 {
291 // TODO
294 // TODO
292 std::for_each(std::begin(*serie), std::end(*serie),
295 std::for_each(std::begin(*serie), std::end(*serie),
293 [&dataContainer, component = plottable.first](const auto& value) {
296 [&dataContainer, component = plottable.first](const auto& value) {
294 dataContainer->appendGraphData(
297 dataContainer->appendGraphData(
295 QCPGraphData(value.t(), value[component]));
298 QCPGraphData(value.t(), value[component]));
296 });
299 });
297 }
300 }
298 graph->setData(dataContainer);
301 graph->setData(dataContainer);
299 }
302 }
300 }
303 }
301
304
302 if (!plottables.empty())
305 if (!plottables.empty())
303 {
306 {
304 auto plot = plottables.begin()->second->parentPlot();
307 auto plot = plottables.begin()->second->parentPlot();
305
308
306 if (rescaleAxes)
309 if (rescaleAxes)
307 {
310 {
308 plot->rescaleAxes();
311 plot->rescaleAxes();
309 }
312 }
310 }
313 }
311 }
314 }
312 };
315 };
313
316
314 /**
317 /**
315 * Specialization of PlottablesUpdater for spectrograms
318 * Specialization of PlottablesUpdater for spectrograms
316 * @sa SpectrogramSeries
319 * @sa SpectrogramSeries
317 */
320 */
318 template <typename T>
321 template <typename T>
319 struct PlottablesUpdater<T,
322 struct PlottablesUpdater<T,
320 typename std::enable_if_t<std::is_base_of<SpectrogramTimeSerie, T>::value>>
323 typename std::enable_if_t<std::is_base_of<SpectrogramTimeSerie, T>::value>>
321 {
324 {
322 static void setPlotYAxisRange(T& dataSeries, const DateTimeRange& xAxisRange, QCustomPlot& plot)
325 static void setPlotYAxisRange(T& dataSeries, const DateTimeRange& xAxisRange, QCustomPlot& plot)
323 {
326 {
324 // TODO
327 auto [minValue, maxValue] = dataSeries.axis_range(1);
325 // double min, max;
328 std::cout << "min=" << minValue << " max=" << maxValue << std::endl;
326 // std::tie(min, max) = dataSeries.yBounds();
327
328 // if (!std::isnan(min) && !std::isnan(max))
329 // {
330 // plot.yAxis->setRange(QCPRange { min, max });
331 // }
332 double minValue = 0., maxValue = 0.;
333 if (auto serie = dynamic_cast<SpectrogramTimeSerie*>(&dataSeries))
334 {
335 auto& yAxis = serie->axis(1);
336 if (yAxis.size())
337 {
338 minValue = *std::min_element(std::cbegin(yAxis), std::cend(yAxis));
339 maxValue = *std::max_element(std::cbegin(yAxis), std::cend(yAxis));
340 }
341 }
342 plot.yAxis->setRange(QCPRange { minValue, maxValue });
329 plot.yAxis->setRange(QCPRange { minValue, maxValue });
343 }
330 }
344
331
345 static void updatePlottables(
332 static void updatePlottables(
346 T& dataSeries, PlottablesMap& plottables, const DateTimeRange& range, bool rescaleAxes)
333 T& dataSeries, PlottablesMap& plottables, const DateTimeRange& range, bool rescaleAxes)
347 {
334 {
348 // TODO
349 if (plottables.empty())
335 if (plottables.empty())
350 {
336 {
351 qCDebug(LOG_VisualizationGraphHelper())
337 qCDebug(LOG_VisualizationGraphHelper())
352 << QObject::tr("Can't update spectrogram: no colormap has been associated");
338 << QObject::tr("Can't update spectrogram: no colormap has been associated");
353 return;
339 return;
354 }
340 }
355
341
356
342 // Gets the colormap to update (normally there is only one colormap)
357 // // Gets the colormap to update (normally there is only one colormap)
358 Q_ASSERT(plottables.size() == 1);
343 Q_ASSERT(plottables.size() == 1);
359 auto colormap = dynamic_cast<QCPColorMap*>(plottables.at(0));
344 auto colormap = dynamic_cast<QCPColorMap*>(plottables.at(0));
360 Q_ASSERT(colormap != nullptr);
345 Q_ASSERT(colormap != nullptr);
346 auto plot = colormap->parentPlot();
347 auto [minValue, maxValue] = dataSeries.axis_range(1);
348 plot->yAxis->setRange(QCPRange { minValue, maxValue });
361 if (auto serie = dynamic_cast<SpectrogramTimeSerie*>(&dataSeries))
349 if (auto serie = dynamic_cast<SpectrogramTimeSerie*>(&dataSeries))
362 {
350 {
363 colormap->data()->setSize(serie->shape()[0], serie->shape()[1]);
351 if (serie->size(0) > 2)
364 if (serie->size(0))
365 {
352 {
353 const auto& xAxis = serie->axis(0);
354 auto yAxis = serie->axis(1); // copy for in place reverse order
355 std::reverse(std::begin(yAxis), std::end(yAxis));
356 auto xAxisProperties = TimeSeriesUtils::axis_analysis<TimeSeriesUtils::IsLinear,
357 TimeSeriesUtils::CheckMedian>(xAxis);
358 auto yAxisProperties = TimeSeriesUtils::axis_analysis<TimeSeriesUtils::IsLog,
359 TimeSeriesUtils::DontCheckMedian>(yAxis);
360
361 int colormap_h_size = std::min(32000,
362 static_cast<int>(xAxisProperties.range / xAxisProperties.max_resolution));
363 auto colormap_v_size
364 = static_cast<int>(yAxisProperties.range / yAxisProperties.max_resolution);
365
366 colormap->data()->setSize(colormap_h_size, colormap_v_size);
366 colormap->data()->setRange(
367 colormap->data()->setRange(
367 QCPRange { serie->begin()->t(), (serie->end() - 1)->t() },
368 QCPRange { serie->begin()->t(), (serie->end() - 1)->t() },
368 QCPRange { 1., 1000. });
369 { minValue, maxValue });
369 for (int x_index = 0; x_index < serie->shape()[0]; x_index++)
370
371 std::vector<std::pair<int, int>> y_access_pattern;
372 for (int y_index = 0, cel_index = 0; y_index < colormap_v_size; y_index++)
370 {
373 {
371 auto pixline = (*serie)[x_index];
374 double current_y = pow(
372 for (int y_index = 0; y_index < serie->shape()[1]; y_index++)
375 10., (yAxisProperties.max_resolution * y_index) + std::log10(minValue));
376 if (current_y > yAxis[cel_index])
377 cel_index++;
378 y_access_pattern.push_back({ y_index, yAxis.size() - 1 - cel_index });
379 }
380
381 auto line = serie->begin();
382 double current_time = xAxis[0];
383 int x_index = 0;
384
385 while (x_index < colormap_h_size)
373 {
386 {
374 auto value = pixline[y_index];
387 if (current_time > (line + 1)->t())
375 colormap->data()->setCell(x_index, y_index, value);
376 if (std::isnan(value))
377 {
388 {
378 colormap->data()->setAlpha(x_index, y_index, 0);
389 line++;
379 }
390 }
391 if ((current_time - xAxis[0])
392 > (x_index * xAxisProperties.range / colormap_h_size))
393 {
394 x_index++;
380 }
395 }
396 if (line->t() <= (current_time + xAxisProperties.max_resolution))
397 {
398 std::for_each(std::cbegin(y_access_pattern), std::cend(y_access_pattern),
399 [&colormap, &line, x_index](const auto& acc) {
400 colormap->data()->setCell(x_index, acc.first, (*line)[acc.second]);
401 });
381 }
402 }
403 else
404 {
405 for (int y_index = 0; y_index < colormap_v_size; y_index++)
406 {
407 colormap->data()->setCell(x_index, y_index, std::nan(""));
408 }
409 }
410 current_time += xAxisProperties.max_resolution;
382 }
411 }
383 }
412 }
384 // dataSeries.lockRead();
385
386 // // Processing spectrogram data for display in QCustomPlot
387 // auto its = dataSeries.xAxisRange(range.m_TStart, range.m_TEnd);
388
389 // // Computes logarithmic y-axis resolution for the spectrogram
390 // auto yData = its.first->y();
391 // auto yResolution = DataSeriesUtils::resolution(yData.begin(), yData.end(), true);
392
393 // // Generates mesh for colormap
394 // auto mesh = DataSeriesUtils::regularMesh(its.first, its.second,
395 // DataSeriesUtils::Resolution { dataSeries.xResolution() }, yResolution);
396
397 // dataSeries.unlock();
398
399 // colormap->data()->setSize(mesh.m_NbX, mesh.m_NbY);
400 // if (!mesh.isEmpty())
401 // {
402 // colormap->data()->setRange(QCPRange { mesh.m_XMin, mesh.xMax() },
403 // // y-axis range is converted to linear values
404 // QCPRange { std::pow(10, mesh.m_YMin), std::pow(10, mesh.yMax()) });
405
406 // // Sets values
407 // auto index = 0;
408 // for (auto it = mesh.m_Data.begin(), end = mesh.m_Data.end(); it != end; ++it,
409 // ++index)
410 // {
411 // auto xIndex = index % mesh.m_NbX;
412 // auto yIndex = index / mesh.m_NbX;
413
414 // colormap->data()->setCell(xIndex, yIndex, *it);
415
416 // // Makes the NaN values to be transparent in the colormap
417 // if (std::isnan(*it))
418 // {
419 // colormap->data()->setAlpha(xIndex, yIndex, 0);
420 // }
421 // }
422 // }
423
413
424 // // Rescales axes
425 auto plot = colormap->parentPlot();
426 setPlotYAxisRange(dataSeries, {}, *plot);
427 if (rescaleAxes)
414 if (rescaleAxes)
428 {
415 {
429 plot->rescaleAxes();
416 plot->rescaleAxes();
430 }
417 }
431 }
418 }
419 }
432 };
420 };
433
421
434 /**
422 /**
435 * Helper used to create/update plottables
423 * Helper used to create/update plottables
436 */
424 */
437 struct IPlottablesHelper
425 struct IPlottablesHelper
438 {
426 {
439 virtual ~IPlottablesHelper() noexcept = default;
427 virtual ~IPlottablesHelper() noexcept = default;
440 virtual PlottablesMap create(QCustomPlot& plot) const = 0;
428 virtual PlottablesMap create(QCustomPlot& plot) const = 0;
441 virtual void setYAxisRange(const DateTimeRange& xAxisRange, QCustomPlot& plot) const = 0;
429 virtual void setYAxisRange(const DateTimeRange& xAxisRange, QCustomPlot& plot) const = 0;
442 virtual void update(
430 virtual void update(
443 PlottablesMap& plottables, const DateTimeRange& range, bool rescaleAxes = false) const = 0;
431 PlottablesMap& plottables, const DateTimeRange& range, bool rescaleAxes = false) const = 0;
444 };
432 };
445
433
446 /**
434 /**
447 * Default implementation of IPlottablesHelper, which takes data series to create/update plottables
435 * Default implementation of IPlottablesHelper, which takes data series to create/update
436 * plottables
448 * @tparam T the data series' type
437 * @tparam T the data series' type
449 */
438 */
450 template <typename T>
439 template <typename T>
451 struct PlottablesHelper : public IPlottablesHelper
440 struct PlottablesHelper : public IPlottablesHelper
452 {
441 {
453 explicit PlottablesHelper(std::shared_ptr<T> dataSeries) : m_DataSeries { dataSeries } {}
442 explicit PlottablesHelper(std::shared_ptr<T> dataSeries) : m_DataSeries { dataSeries } {}
454
443
455 PlottablesMap create(QCustomPlot& plot) const override
444 PlottablesMap create(QCustomPlot& plot) const override
456 {
445 {
457 return PlottablesCreator<T>::createPlottables(plot, m_DataSeries);
446 return PlottablesCreator<T>::createPlottables(plot, m_DataSeries);
458 }
447 }
459
448
460 void update(
449 void update(
461 PlottablesMap& plottables, const DateTimeRange& range, bool rescaleAxes) const override
450 PlottablesMap& plottables, const DateTimeRange& range, bool rescaleAxes) const override
462 {
451 {
463 if (m_DataSeries)
452 if (m_DataSeries)
464 {
453 {
465 PlottablesUpdater<T>::updatePlottables(*m_DataSeries, plottables, range, rescaleAxes);
454 PlottablesUpdater<T>::updatePlottables(*m_DataSeries, plottables, range, rescaleAxes);
466 }
455 }
467 else
456 else
468 {
457 {
469 qCCritical(LOG_VisualizationGraphHelper()) << "Can't update plottables: inconsistency "
458 qCCritical(LOG_VisualizationGraphHelper()) << "Can't update plottables: inconsistency "
470 "between the type of data series and the "
459 "between the type of data series and the "
471 "type supposed";
460 "type supposed";
472 }
461 }
473 }
462 }
474
463
475 void setYAxisRange(const DateTimeRange& xAxisRange, QCustomPlot& plot) const override
464 void setYAxisRange(const DateTimeRange& xAxisRange, QCustomPlot& plot) const override
476 {
465 {
477 if (m_DataSeries)
466 if (m_DataSeries)
478 {
467 {
479 PlottablesUpdater<T>::setPlotYAxisRange(*m_DataSeries, xAxisRange, plot);
468 PlottablesUpdater<T>::setPlotYAxisRange(*m_DataSeries, xAxisRange, plot);
480 }
469 }
481 else
470 else
482 {
471 {
483 qCCritical(LOG_VisualizationGraphHelper()) << "Can't update plottables: inconsistency "
472 qCCritical(LOG_VisualizationGraphHelper()) << "Can't update plottables: inconsistency "
484 "between the type of data series and the "
473 "between the type of data series and the "
485 "type supposed";
474 "type supposed";
486 }
475 }
487 }
476 }
488
477
489 std::shared_ptr<T> m_DataSeries;
478 std::shared_ptr<T> m_DataSeries;
490 };
479 };
491
480
492 /// Creates IPlottablesHelper according to the type of data series a variable holds
481 /// Creates IPlottablesHelper according to the type of data series a variable holds
493 std::unique_ptr<IPlottablesHelper> createHelper(std::shared_ptr<Variable2> variable) noexcept
482 std::unique_ptr<IPlottablesHelper> createHelper(std::shared_ptr<Variable2> variable) noexcept
494 {
483 {
495 switch (variable->type())
484 switch (variable->type())
496 {
485 {
497 case DataSeriesType::SCALAR:
486 case DataSeriesType::SCALAR:
498 return std::make_unique<PlottablesHelper<ScalarTimeSerie>>(
487 return std::make_unique<PlottablesHelper<ScalarTimeSerie>>(
499 std::dynamic_pointer_cast<ScalarTimeSerie>(variable->data()));
488 std::dynamic_pointer_cast<ScalarTimeSerie>(variable->data()));
500 case DataSeriesType::SPECTROGRAM:
489 case DataSeriesType::SPECTROGRAM:
501 return std::make_unique<PlottablesHelper<SpectrogramTimeSerie>>(
490 return std::make_unique<PlottablesHelper<SpectrogramTimeSerie>>(
502 std::dynamic_pointer_cast<SpectrogramTimeSerie>(variable->data()));
491 std::dynamic_pointer_cast<SpectrogramTimeSerie>(variable->data()));
503 case DataSeriesType::VECTOR:
492 case DataSeriesType::VECTOR:
504 return std::make_unique<PlottablesHelper<VectorTimeSerie>>(
493 return std::make_unique<PlottablesHelper<VectorTimeSerie>>(
505 std::dynamic_pointer_cast<VectorTimeSerie>(variable->data()));
494 std::dynamic_pointer_cast<VectorTimeSerie>(variable->data()));
506 case DataSeriesType::MULTICOMPONENT:
495 case DataSeriesType::MULTICOMPONENT:
507 return std::make_unique<PlottablesHelper<MultiComponentTimeSerie>>(
496 return std::make_unique<PlottablesHelper<MultiComponentTimeSerie>>(
508 std::dynamic_pointer_cast<MultiComponentTimeSerie>(variable->data()));
497 std::dynamic_pointer_cast<MultiComponentTimeSerie>(variable->data()));
509 default:
498 default:
510 // Creates default helper
499 // Creates default helper
511 break;
500 break;
512 }
501 }
513
502
514 return std::make_unique<PlottablesHelper<TimeSeries::ITimeSerie>>(nullptr);
503 return std::make_unique<PlottablesHelper<TimeSeries::ITimeSerie>>(nullptr);
515 }
504 }
516
505
517 } // namespace
506 } // namespace
518
507
519 PlottablesMap VisualizationGraphHelper::create(
508 PlottablesMap VisualizationGraphHelper::create(
520 std::shared_ptr<Variable2> variable, QCustomPlot& plot) noexcept
509 std::shared_ptr<Variable2> variable, QCustomPlot& plot) noexcept
521 {
510 {
522 if (variable)
511 if (variable)
523 {
512 {
524 auto helper = createHelper(variable);
513 auto helper = createHelper(variable);
525 auto plottables = helper->create(plot);
514 auto plottables = helper->create(plot);
526 return plottables;
515 return plottables;
527 }
516 }
528 else
517 else
529 {
518 {
530 qCDebug(LOG_VisualizationGraphHelper())
519 qCDebug(LOG_VisualizationGraphHelper())
531 << QObject::tr("Can't create graph plottables : the variable is null");
520 << QObject::tr("Can't create graph plottables : the variable is null");
532 return PlottablesMap {};
521 return PlottablesMap {};
533 }
522 }
534 }
523 }
535
524
536 void VisualizationGraphHelper::setYAxisRange(
525 void VisualizationGraphHelper::setYAxisRange(
537 std::shared_ptr<Variable2> variable, QCustomPlot& plot) noexcept
526 std::shared_ptr<Variable2> variable, QCustomPlot& plot) noexcept
538 {
527 {
539 if (variable)
528 if (variable)
540 {
529 {
541 auto helper = createHelper(variable);
530 auto helper = createHelper(variable);
542 helper->setYAxisRange(variable->range(), plot);
531 helper->setYAxisRange(variable->range(), plot);
543 }
532 }
544 else
533 else
545 {
534 {
546 qCDebug(LOG_VisualizationGraphHelper())
535 qCDebug(LOG_VisualizationGraphHelper())
547 << QObject::tr("Can't set y-axis range of plot: the variable is null");
536 << QObject::tr("Can't set y-axis range of plot: the variable is null");
548 }
537 }
549 }
538 }
550
539
551 void VisualizationGraphHelper::updateData(
540 void VisualizationGraphHelper::updateData(
552 PlottablesMap& plottables, std::shared_ptr<Variable2> variable, const DateTimeRange& dateTime)
541 PlottablesMap& plottables, std::shared_ptr<Variable2> variable, const DateTimeRange& dateTime)
553 {
542 {
554 auto helper = createHelper(variable);
543 auto helper = createHelper(variable);
555 helper->update(plottables, dateTime);
544 helper->update(plottables, dateTime);
556 }
545 }
Show file before | Show file after | Hide comments
@@ -1,65 +1,98
1 import traceback
1 import traceback
2 import os
2 import os
3 from datetime import datetime, timedelta, timezone
3 from datetime import datetime, timedelta, timezone
4 import PythonProviders
4 import PythonProviders
5 import pysciqlopcore
5 import pysciqlopcore
6 import numpy as np
6 import numpy as np
7 import requests
7 import requests
8 import copy
8 import copy
9 from spwc.amda import AMDA
9 from spwc.amda import AMDA
10
10
11 amda = AMDA()
11 amda = AMDA()
12
12
13 def get_sample(metadata,start,stop):
13 def amda_make_scalar(var=None):
14 ts_type = pysciqlopcore.ScalarTimeSerie
14 if var is None:
15 default_ctor_args = 1
15 return pysciqlopcore.ScalarTimeSerie(1)
16 else:
17 return pysciqlopcore.ScalarTimeSerie(var.time,var.data)
18
19 def amda_make_vector(var=None):
20 if var is None:
21 return pysciqlopcore.VectorTimeSerie(1)
22 else:
23 return pysciqlopcore.VectorTimeSerie(var.time,var.data)
24
25 def amda_make_multi_comp(var=None):
26 if var is None:
27 return pysciqlopcore.MultiComponentTimeSerie((0,2))
28 else:
29 return pysciqlopcore.MultiComponentTimeSerie(var.time,var.data)
30
31 def amda_make_spectro(var=None):
32 if var is None:
33 return pysciqlopcore.SpectrogramTimeSerie((0,2))
34 else:
35 if "PARAMETER_TABLE_MIN_VALUES[1]" in var.meta:
36 min_v = np.array([ float(v) for v in var.meta["PARAMETER_TABLE_MIN_VALUES[1]"].split(',') ])
37 max_v = np.array([ float(v) for v in var.meta["PARAMETER_TABLE_MAX_VALUES[1]"].split(',') ])
38 y = (max_v + min_v)/2.
39 elif "PARAMETER_TABLE_MIN_VALUES[0]" in var.meta:
40 min_v = np.array([ float(v) for v in var.meta["PARAMETER_TABLE_MIN_VALUES[0]"].split(',') ])
41 max_v = np.array([ float(v) for v in var.meta["PARAMETER_TABLE_MAX_VALUES[0]"].split(',') ])
42 y = (max_v + min_v)/2.
43 else:
44 y = np.logspace(1,3,var.data.shape[1])[::-1]
45 return pysciqlopcore.SpectrogramTimeSerie(var.time,y,var.data)
46
47 def amda_get_sample(metadata,start,stop):
48 ts_type = amda_make_scalar
16 try:
49 try:
17 param_id = None
50 param_id = None
18 for key,value in metadata:
51 for key,value in metadata:
19 if key == 'xml:id':
52 if key == 'xml:id':
20 param_id = value
53 param_id = value
21 elif key == 'type':
54 elif key == 'type':
22 if value == 'vector':
55 if value == 'vector':
23 ts_type = pysciqlopcore.VectorTimeSerie
56 ts_type = amda_make_vector
24 elif value == 'multicomponent':
57 elif value == 'multicomponent':
25 ts_type = pysciqlopcore.MultiComponentTimeSerie
58 ts_type = amda_make_multi_comp
26 default_ctor_args = (0,2)
59 elif value == 'spectrogram':
60 ts_type = amda_make_spectro
27 tstart=datetime.fromtimestamp(start, tz=timezone.utc)
61 tstart=datetime.fromtimestamp(start, tz=timezone.utc)
28 tend=datetime.fromtimestamp(stop, tz=timezone.utc)
62 tend=datetime.fromtimestamp(stop, tz=timezone.utc)
29 var = amda.get_parameter(start_time=tstart, stop_time=tend, parameter_id=param_id, method="REST")
63 var = amda.get_parameter(start_time=tstart, stop_time=tend, parameter_id=param_id, method="REST")
30 return ts_type(var.time,var.data)
64 return ts_type(var)
31 except Exception as e:
65 except Exception as e:
32 print(traceback.format_exc())
66 print(traceback.format_exc())
33 print("Error in amda.py ",str(e))
67 print("Error in amda.py ",str(e))
34 return ts_type(default_ctor_args)
68 return ts_type()
35
69
36
70
37 if len(amda.component) is 0:
71 if len(amda.component) is 0:
38 amda.update_inventory()
72 amda.update_inventory()
39 parameters = copy.deepcopy(amda.parameter)
73 parameters = copy.deepcopy(amda.parameter)
40 for name,component in amda.component.items():
74 for name,component in amda.component.items():
41 if 'components' in parameters[component['parameter']]:
75 if 'components' in parameters[component['parameter']]:
42 parameters[component['parameter']]['components'].append(component)
76 parameters[component['parameter']]['components'].append(component)
43 else:
77 else:
44 parameters[component['parameter']]['components']=[component]
78 parameters[component['parameter']]['components']=[component]
45
79
46 products = []
80 products = []
47 for key,parameter in parameters.items():
81 for key,parameter in parameters.items():
48 path = f"/AMDA/{parameter['mission']}/{parameter.get('observatory','')}/{parameter['instrument']}/{parameter['dataset']}/{parameter['name']}"
82 path = f"/AMDA/{parameter['mission']}/{parameter.get('observatory','')}/{parameter['instrument']}/{parameter['dataset']}/{parameter['name']}"
49 components = [component['name'] for component in parameter.get('components',[])]
83 components = [component['name'] for component in parameter.get('components',[])]
50 metadata = [ (key,item) for key,item in parameter.items() if key is not 'components' ]
84 metadata = [ (key,item) for key,item in parameter.items() if key is not 'components' ]
51 n_components = parameter.get('size',0)
85 n_components = parameter.get('size',0)
52 if n_components is '3':
86 if n_components == '3':
53 metadata.append(("type","vector"))
87 metadata.append(("type","vector"))
54 elif n_components !=0:
88 elif parameter.get('display_type','')=="spectrogram":
55 if parameter.get('display_type','')=="spectrogram":
56 metadata.append(("type","spectrogram"))
89 metadata.append(("type","spectrogram"))
57 else:
90 elif n_components !=0:
58 metadata.append(("type","multicomponent"))
91 metadata.append(("type","multicomponent"))
59 else:
92 else:
60 metadata.append(("type","scalar"))
93 metadata.append(("type","scalar"))
61 products.append( (path, components, metadata))
94 products.append( (path, components, metadata))
62
95
63 PythonProviders.register_product(products, get_sample)
96 PythonProviders.register_product(products, amda_get_sample)
64
97
65
98
Show file before | Show file after | Hide comments
@@ -1,96 +1,96
1 import traceback
1 import traceback
2 import pandas as pds
2 import pandas as pds
3 import PythonProviders
3 import PythonProviders
4 import pysciqlopcore
4 import pysciqlopcore
5 import numpy as np
5 import numpy as np
6 import math
6 import math
7 from spwc.cache import _cache
7 from spwc.cache import _cache
8 from spwc.common.datetime_range import DateTimeRange
8 from spwc.common.datetime_range import DateTimeRange
9 from functools import partial
9 from functools import partial
10 from datetime import datetime, timedelta, timezone
10 from datetime import datetime, timedelta, timezone
11 from spwc.common.variable import SpwcVariable
11 from spwc.common.variable import SpwcVariable
12
12
13 def make_scalar(x):
13 def make_scalar(x):
14 y = np.cos(x/10.)
14 y = np.cos(x/10.)
15 return SpwcVariable(time=x, data=y)
15 return SpwcVariable(time=x, data=y)
16
16
17 def make_vector(x):
17 def make_vector(x):
18 v=np.ones((len(x),3))
18 v=np.ones((len(x),3))
19 for i in range(3):
19 for i in range(3):
20 v.transpose()[:][i] = np.cos(x/10. + float(i)) + (100. * np.cos(x/10000. + float(i)))
20 v.transpose()[:][i] = np.cos(x/10. + float(i)) + (100. * np.cos(x/10000. + float(i)))
21 return SpwcVariable(time=x, data=v)
21 return SpwcVariable(time=x, data=v)
22
22
23
23
24 def make_multicomponent(x):
24 def make_multicomponent(x):
25 v=np.ones((len(x),4))
25 v=np.ones((len(x),4))
26 for i in range(4):
26 for i in range(4):
27 v.transpose()[:][i] = float(i+1) * np.cos(x/10. + float(i))
27 v.transpose()[:][i] = float(i+1) * np.cos(x/10. + float(i))
28 return SpwcVariable(time=x, data=v)
28 return SpwcVariable(time=x, data=v)
29
29
30 def make_spectrogram(x):
30 def make_spectrogram(x):
31 v=np.ones((len(x),32))
31 v=np.ones((len(x),32))
32 for i in range(32):
32 for i in range(32):
33 v.transpose()[:][i] = 100.*(2.+ float(i+1) * np.cos(x/1024. + float(i)))
33 v.transpose()[:][i] = 100.*(2.+ float(i+1) * np.cos(x/1024. + float(i)))
34 return SpwcVariable(time=x, data=v)
34 return SpwcVariable(time=x, data=v)
35
35
36
36
37 def _get_data(p_type, start, stop):
37 def _get_data(p_type, start, stop):
38 if type(start) is datetime:
38 if type(start) is datetime:
39 start = start.timestamp()
39 start = start.timestamp()
40 stop = stop.timestamp()
40 stop = stop.timestamp()
41 x = np.arange(math.ceil(start), math.floor(stop))
41 x = np.arange(math.ceil(start), math.floor(stop))
42 if p_type == 'scalar':
42 if p_type == 'scalar':
43 return make_scalar(x)
43 return make_scalar(x)
44 if p_type == 'vector':
44 if p_type == 'vector':
45 return make_vector(x)
45 return make_vector(x)
46 if p_type == 'multicomponent':
46 if p_type == 'multicomponent':
47 return make_multicomponent(x)
47 return make_multicomponent(x)
48 if p_type == 'spectrogram':
48 if p_type == 'spectrogram':
49 return make_spectrogram(np.arange(math.ceil(start), math.floor(stop),15.))
49 return make_spectrogram(np.arange(math.ceil(start), math.floor(stop),15.))
50 return None
50 return None
51
51
52 def get_data(metadata,start,stop):
52 def get_data(metadata,start,stop):
53 ts_type = pysciqlopcore.ScalarTimeSerie
53 ts_type = pysciqlopcore.ScalarTimeSerie
54 default_ctor_args = 1
54 default_ctor_args = 1
55 use_cache = False
55 use_cache = False
56 p_type = 'scalar'
56 p_type = 'scalar'
57 try:
57 try:
58 for key,value in metadata:
58 for key,value in metadata:
59 if key == 'type':
59 if key == 'type':
60 p_type = value
60 p_type = value
61 if value == 'vector':
61 if value == 'vector':
62 ts_type = pysciqlopcore.VectorTimeSerie
62 ts_type = pysciqlopcore.VectorTimeSerie
63 elif value == 'multicomponent':
63 elif value == 'multicomponent':
64 ts_type = pysciqlopcore.MultiComponentTimeSerie
64 ts_type = pysciqlopcore.MultiComponentTimeSerie
65 default_ctor_args = (0,2)
65 default_ctor_args = (0,2)
66 elif value == 'spectrogram':
66 elif value == 'spectrogram':
67 ts_type = lambda t,values: pysciqlopcore.SpectrogramTimeSerie(t,np.logspace(1,3,32),values)
67 ts_type = lambda t,values: pysciqlopcore.SpectrogramTimeSerie(t,np.logspace(1,3,32)[::-1],values)
68 default_ctor_args = (0,2)
68 default_ctor_args = (0,2)
69 if key == 'cache' and value == 'true':
69 if key == 'cache' and value == 'true':
70 use_cache = True
70 use_cache = True
71 if use_cache:
71 if use_cache:
72 cache_product = f"tests/{p_type}"
72 cache_product = f"tests/{p_type}"
73 var = _cache.get_data(cache_product, DateTimeRange(datetime.fromtimestamp(start, tz=timezone.utc), datetime.fromtimestamp(stop, tz=timezone.utc)),
73 var = _cache.get_data(cache_product, DateTimeRange(datetime.fromtimestamp(start, tz=timezone.utc), datetime.fromtimestamp(stop, tz=timezone.utc)),
74 partial(_get_data, p_type),
74 partial(_get_data, p_type),
75 fragment_hours=24)
75 fragment_hours=24)
76 else:
76 else:
77 print("No Cache")
77 print("No Cache")
78 var = _get_data(p_type, start, stop)
78 var = _get_data(p_type, start, stop)
79 return ts_type(var.time,var.data)
79 return ts_type(var.time,var.data)
80 except Exception as e:
80 except Exception as e:
81 print(traceback.format_exc())
81 print(traceback.format_exc())
82 print("Error in test.py ",str(e))
82 print("Error in test.py ",str(e))
83 return ts_type(default_ctor_args)
83 return ts_type(default_ctor_args)
84
84
85 products = [
85 products = [
86 ("/tests/without_cache/scalar",[],[("type","scalar")]),
86 ("/tests/without_cache/scalar",[],[("type","scalar")]),
87 ("/tests/without_cache/vector",[],[("type","vector")]),
87 ("/tests/without_cache/vector",[],[("type","vector")]),
88 ("/tests/without_cache/multicomponent",[],[("type","multicomponent"),('size','4')]),
88 ("/tests/without_cache/multicomponent",[],[("type","multicomponent"),('size','4')]),
89 ("/tests/without_cache/spectrogram",[],[("type","spectrogram"),('size','32')]),
89 ("/tests/without_cache/spectrogram",[],[("type","spectrogram"),('size','32')]),
90 ("/tests/with_cache/scalar",[],[("type","scalar"), ("cache","true")]),
90 ("/tests/with_cache/scalar",[],[("type","scalar"), ("cache","true")]),
91 ("/tests/with_cache/vector",[],[("type","vector"), ("cache","true")]),
91 ("/tests/with_cache/vector",[],[("type","vector"), ("cache","true")]),
92 ("/tests/with_cache/multicomponent",[],[("type","multicomponent"),('size','4'), ("cache","true")])
92 ("/tests/with_cache/multicomponent",[],[("type","multicomponent"),('size','4'), ("cache","true")])
93 ]
93 ]
94
94
95
95
96 PythonProviders.register_product(products ,get_data)
96 PythonProviders.register_product(products ,get_data)
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