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VisualizationGraphHelper.cpp
344 lines | 11.7 KiB | text/x-c | CppLexer
/ gui / src / Visualization / VisualizationGraphHelper.cpp
#include "Visualization/VisualizationGraphHelper.h"
#include "Visualization/qcustomplot.h"
#include <Data/ScalarSeries.h>
#include <Data/SpectrogramSeries.h>
#include <Data/VectorSeries.h>
#include <Variable/Variable.h>
Q_LOGGING_CATEGORY(LOG_VisualizationGraphHelper, "VisualizationGraphHelper")
namespace {
class SqpDataContainer : public QCPGraphDataContainer {
public:
void appendGraphData(const QCPGraphData &data) { mData.append(data); }
};
/**
* Struct used to create plottables, depending on the type of the data series from which to create
* them
* @tparam T the data series' type
* @remarks Default implementation can't create plottables
*/
template <typename T, typename Enabled = void>
struct PlottablesCreator {
static PlottablesMap createPlottables(T &, QCustomPlot &)
{
qCCritical(LOG_DataSeries())
<< QObject::tr("Can't create plottables: unmanaged data series type");
return {};
}
};
/**
* Specialization of PlottablesCreator for scalars and vectors
* @sa ScalarSeries
* @sa VectorSeries
*/
template <typename T>
struct PlottablesCreator<T,
typename std::enable_if_t<std::is_base_of<ScalarSeries, T>::value
or std::is_base_of<VectorSeries, T>::value> > {
static PlottablesMap createPlottables(T &dataSeries, QCustomPlot &plot)
{
PlottablesMap result{};
// Gets the number of components of the data series
dataSeries.lockRead();
auto componentCount = dataSeries.valuesData()->componentCount();
dataSeries.unlock();
// For each component of the data series, creates a QCPGraph to add to the plot
for (auto i = 0; i < componentCount; ++i) {
auto graph = plot.addGraph();
result.insert({i, graph});
}
plot.replot();
return result;
}
};
/**
* Specialization of PlottablesCreator for spectrograms
* @sa SpectrogramSeries
*/
template <typename T>
struct PlottablesCreator<T,
typename std::enable_if_t<std::is_base_of<SpectrogramSeries, T>::value> > {
static PlottablesMap createPlottables(T &dataSeries, QCustomPlot &plot)
{
PlottablesMap result{};
result.insert({0, new QCPColorMap{plot.xAxis, plot.yAxis}});
plot.replot();
return result;
}
};
/**
* Struct used to update plottables, depending on the type of the data series from which to update
* them
* @tparam T the data series' type
* @remarks Default implementation can't update plottables
*/
template <typename T, typename Enabled = void>
struct PlottablesUpdater {
static void setPlotYAxisRange(T &, const SqpRange &, QCustomPlot &)
{
qCCritical(LOG_VisualizationGraphHelper())
<< QObject::tr("Can't set plot y-axis range: unmanaged data series type");
}
static void updatePlottables(T &, PlottablesMap &, const SqpRange &, bool)
{
qCCritical(LOG_VisualizationGraphHelper())
<< QObject::tr("Can't update plottables: unmanaged data series type");
}
};
/**
* Specialization of PlottablesUpdater for scalars and vectors
* @sa ScalarSeries
* @sa VectorSeries
*/
template <typename T>
struct PlottablesUpdater<T,
typename std::enable_if_t<std::is_base_of<ScalarSeries, T>::value
or std::is_base_of<VectorSeries, T>::value> > {
static void setPlotYAxisRange(T &dataSeries, const SqpRange &xAxisRange, QCustomPlot &plot)
{
auto minValue = 0., maxValue = 0.;
dataSeries.lockRead();
auto valuesBounds = dataSeries.valuesBounds(xAxisRange.m_TStart, xAxisRange.m_TEnd);
auto end = dataSeries.cend();
if (valuesBounds.first != end && valuesBounds.second != end) {
auto rangeValue = [](const auto &value) { return std::isnan(value) ? 0. : value; };
minValue = rangeValue(valuesBounds.first->minValue());
maxValue = rangeValue(valuesBounds.second->maxValue());
}
dataSeries.unlock();
plot.yAxis->setRange(QCPRange{minValue, maxValue});
}
static void updatePlottables(T &dataSeries, PlottablesMap &plottables, const SqpRange &range,
bool rescaleAxes)
{
// For each plottable to update, resets its data
std::map<int, QSharedPointer<SqpDataContainer> > dataContainers{};
for (const auto &plottable : plottables) {
if (auto graph = dynamic_cast<QCPGraph *>(plottable.second)) {
auto dataContainer = QSharedPointer<SqpDataContainer>::create();
graph->setData(dataContainer);
dataContainers.insert({plottable.first, dataContainer});
}
}
dataSeries.lockRead();
// - Gets the data of the series included in the current range
// - 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
auto subDataIts = dataSeries.xAxisRange(range.m_TStart, range.m_TEnd);
for (auto it = subDataIts.first; it != subDataIts.second; ++it) {
for (const auto &dataContainer : dataContainers) {
auto componentIndex = dataContainer.first;
dataContainer.second->appendGraphData(
QCPGraphData(it->x(), it->value(componentIndex)));
}
}
dataSeries.unlock();
if (!plottables.empty()) {
auto plot = plottables.begin()->second->parentPlot();
if (rescaleAxes) {
plot->rescaleAxes();
}
plot->replot();
}
}
};
/**
* Specialization of PlottablesUpdater for spectrograms
* @sa SpectrogramSeries
*/
template <typename T>
struct PlottablesUpdater<T,
typename std::enable_if_t<std::is_base_of<SpectrogramSeries, T>::value> > {
static void setPlotYAxisRange(T &dataSeries, const SqpRange &xAxisRange, QCustomPlot &plot)
{
double min, max;
std::tie(min, max) = dataSeries.yBounds();
if (!std::isnan(min) && !std::isnan(max)) {
plot.yAxis->setRange(QCPRange{min, max});
}
}
static void updatePlottables(T &dataSeries, PlottablesMap &plottables, const SqpRange &range,
bool rescaleAxes)
{
if (plottables.empty()) {
qCDebug(LOG_VisualizationGraphHelper())
<< QObject::tr("Can't update spectrogram: no colormap has been associated");
return;
}
// Gets the colormap to update (normally there is only one colormap)
Q_ASSERT(plottables.size() == 1);
auto colormap = dynamic_cast<QCPColorMap *>(plottables.at(0));
Q_ASSERT(colormap != nullptr);
dataSeries.lockRead();
auto its = dataSeries.xAxisRange(range.m_TStart, range.m_TEnd);
/// @todo ALX: use iterators here
auto yAxis = dataSeries.yAxis();
// Gets properties of x-axis and y-axis to set size and range of the colormap
auto nbX = std::distance(its.first, its.second);
auto xMin = nbX != 0 ? its.first->x() : 0.;
auto xMax = nbX != 0 ? (its.second - 1)->x() : 0.;
auto nbY = yAxis.size();
auto yMin = 0., yMax = 0.;
if (nbY != 0) {
std::tie(yMin, yMax) = yAxis.bounds();
}
colormap->data()->setSize(nbX, nbY);
colormap->data()->setRange(QCPRange{xMin, xMax}, QCPRange{yMin, yMax});
// Sets values
auto xIndex = 0;
for (auto it = its.first; it != its.second; ++it, ++xIndex) {
for (auto yIndex = 0; yIndex < nbY; ++yIndex) {
auto value = it->value(yIndex);
colormap->data()->setCell(xIndex, yIndex, value);
// Processing spectrogram data for display in QCustomPlot
/// For the moment, we just make the NaN values to be transparent in the colormap
/// @todo ALX: complete treatments (mesh generation, etc.)
if (std::isnan(value)) {
colormap->data()->setAlpha(xIndex, yIndex, 0);
}
}
}
dataSeries.unlock();
// Rescales axes
auto plot = colormap->parentPlot();
if (rescaleAxes) {
plot->rescaleAxes();
}
plot->replot();
}
};
/**
* Helper used to create/update plottables
*/
struct IPlottablesHelper {
virtual ~IPlottablesHelper() noexcept = default;
virtual PlottablesMap create(QCustomPlot &plot) const = 0;
virtual void setYAxisRange(const SqpRange &xAxisRange, QCustomPlot &plot) const = 0;
virtual void update(PlottablesMap &plottables, const SqpRange &range,
bool rescaleAxes = false) const = 0;
};
/**
* Default implementation of IPlottablesHelper, which takes data series to create/update plottables
* @tparam T the data series' type
*/
template <typename T>
struct PlottablesHelper : public IPlottablesHelper {
explicit PlottablesHelper(T &dataSeries) : m_DataSeries{dataSeries} {}
PlottablesMap create(QCustomPlot &plot) const override
{
return PlottablesCreator<T>::createPlottables(m_DataSeries, plot);
}
void update(PlottablesMap &plottables, const SqpRange &range, bool rescaleAxes) const override
{
PlottablesUpdater<T>::updatePlottables(m_DataSeries, plottables, range, rescaleAxes);
}
void setYAxisRange(const SqpRange &xAxisRange, QCustomPlot &plot) const override
{
return PlottablesUpdater<T>::setPlotYAxisRange(m_DataSeries, xAxisRange, plot);
}
T &m_DataSeries;
};
/// Creates IPlottablesHelper according to a data series
std::unique_ptr<IPlottablesHelper> createHelper(std::shared_ptr<IDataSeries> dataSeries) noexcept
{
if (auto scalarSeries = std::dynamic_pointer_cast<ScalarSeries>(dataSeries)) {
return std::make_unique<PlottablesHelper<ScalarSeries> >(*scalarSeries);
}
else if (auto spectrogramSeries = std::dynamic_pointer_cast<SpectrogramSeries>(dataSeries)) {
return std::make_unique<PlottablesHelper<SpectrogramSeries> >(*spectrogramSeries);
}
else if (auto vectorSeries = std::dynamic_pointer_cast<VectorSeries>(dataSeries)) {
return std::make_unique<PlottablesHelper<VectorSeries> >(*vectorSeries);
}
else {
return std::make_unique<PlottablesHelper<IDataSeries> >(*dataSeries);
}
}
} // namespace
PlottablesMap VisualizationGraphHelper::create(std::shared_ptr<Variable> variable,
QCustomPlot &plot) noexcept
{
if (variable) {
auto helper = createHelper(variable->dataSeries());
auto plottables = helper->create(plot);
return plottables;
}
else {
qCDebug(LOG_VisualizationGraphHelper())
<< QObject::tr("Can't create graph plottables : the variable is null");
return PlottablesMap{};
}
}
void VisualizationGraphHelper::setYAxisRange(std::shared_ptr<Variable> variable,
QCustomPlot &plot) noexcept
{
if (variable) {
auto helper = createHelper(variable->dataSeries());
helper->setYAxisRange(variable->range(), plot);
}
else {
qCDebug(LOG_VisualizationGraphHelper())
<< QObject::tr("Can't set y-axis range of plot: the variable is null");
}
}
void VisualizationGraphHelper::updateData(PlottablesMap &plottables,
std::shared_ptr<IDataSeries> dataSeries,
const SqpRange &dateTime)
{
auto helper = createHelper(dataSeries);
helper->update(plottables, dateTime);
}