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b0b24c0f3ac1dda2893780c8cf034f43585364cb
GoldenCheetah/src/CPPlot.cpp
Alejandro Martinez 7ffde09931 Add distance to CV chart tooltip 
In m-yd for swimming, km-miles otherwise.
Allows to look for time and pace at based on distance.
2015-10-18 11:25:22 -03:00

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/*
* Copyright (c) 2006 Sean C. Rhea (srhea@srhea.net)
* Copyright (c) 2009 Dan Connelly (@djconnel)
* Copyright (c) 2014 Damien Grauser (Damien.Grauser@pev-geneve.ch)
* Copyright (c) 2014 Mark Liversedge (liversedge@gmail.com)
*
* This program is free software; you can redistribute it and/or modify it
* under the terms of the GNU General Public License as published by the Free
* Software Foundation; either version 2 of the License, or (at your option)
* any later version.
*
* This program is distributed in the hope that it will be useful, but WITHOUT
* ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
* FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for
* more details.
*
* You should have received a copy of the GNU General Public License along
* with this program; if not, write to the Free Software Foundation, Inc., 51
* Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
*/
#include "Athlete.h"
#include "Zones.h"
#include "Colors.h"
#include "CPPlot.h"
#include "RideCache.h"
#include <unistd.h>
#include <QDebug>
#include <qwt_series_data.h>
#include <qwt_legend.h>
#include <qwt_plot_curve.h>
#include <qwt_plot_grid.h>
#include <qwt_plot_layout.h>
#include <qwt_plot_marker.h>
#include <qwt_symbol.h>
#include <qwt_scale_engine.h>
#include <qwt_scale_widget.h>
#include <qwt_color_map.h>
#include <algorithm> // for std::lower_bound
#include "CriticalPowerWindow.h"
#include "RideItem.h"
#include "IntervalItem.h"
#include "LogTimeScaleDraw.h"
#include "RideFile.h"
#include "Season.h"
#include "Settings.h"
#include "LTMCanvasPicker.h"
#include "TimeUtils.h"
#include "Units.h"
CPPlot::CPPlot(QWidget *parent, Context *context, bool rangemode) : QwtPlot(parent), parent(parent),
// model
model(0), modelVariant(0),
// state
context(context), bestsCache(NULL), dateCV(0.0), isRun(false), isSwim(false),
rideSeries(RideFile::watts),
isFiltered(false), shadeMode(2),
shadeIntervals(true), rangemode(rangemode),
showBest(true), showPercent(false), showHeat(false), showHeatByDate(false), showDelta(false), showDeltaPercent(false),
plotType(0),
// curves and plot objects
rideCurve(NULL), modelCurve(NULL), effortCurve(NULL), heatCurve(NULL), heatAgeCurve(NULL), pdModel(NULL)
{
setAutoFillBackground(true);
setAxisTitle(xBottom, tr("Interval Length"));
// Log scale on x-axis
ltsd = new LogTimeScaleDraw;
ltsd->setTickLength(QwtScaleDiv::MajorTick, 3);
setAxisScaleDraw(xBottom, ltsd);
setAxisScaleEngine(xBottom, new QwtLogScaleEngine);
// left yAxis scale prettify
sd = new QwtScaleDraw;
sd->setTickLength(QwtScaleDiv::MajorTick, 3);
sd->enableComponent(QwtScaleDraw::Ticks, false);
sd->enableComponent(QwtScaleDraw::Backbone, false);
setAxisScaleDraw(yLeft, sd);
setAxisTitle(yLeft, tr("Average Power (watts)"));
setAxisMaxMinor(yLeft, 0);
plotLayout()->setAlignCanvasToScales(true);
// right yAxis scale prettify
sd = new QwtScaleDraw;
sd->setTickLength(QwtScaleDiv::MajorTick, 3);
sd->enableComponent(QwtScaleDraw::Ticks, false);
sd->enableComponent(QwtScaleDraw::Backbone, false);
setAxisScaleDraw(yRight, sd);
setAxisTitle(yRight, tr("Percent of Best"));
setAxisMaxMinor(yRight, 0);
// zoom
zoomer = new penTooltip(static_cast<QwtPlotCanvas*>(this->canvas()));
zoomer->setMousePattern(QwtEventPattern::MouseSelect1,
Qt::LeftButton, Qt::ShiftModifier);
// hover
canvasPicker = new LTMCanvasPicker(this);
static_cast<QwtPlotCanvas*>(canvas())->setFrameStyle(QFrame::NoFrame);
connect(canvasPicker, SIGNAL(pointHover(QwtPlotCurve*, int)), this, SLOT(pointHover(QwtPlotCurve*, int)));
// now color everything we created
configChanged(CONFIG_APPEARANCE);
}
// set colours mostly
void
CPPlot::configChanged(qint32)
{
QPalette palette;
if (rangemode) palette.setBrush(QPalette::Window, QBrush(GColor(CTRENDPLOTBACKGROUND)));
else palette.setBrush(QPalette::Window, QBrush(GColor(CPLOTBACKGROUND)));
palette.setColor(QPalette::WindowText, GColor(CPLOTMARKER));
palette.setColor(QPalette::Text, GColor(CPLOTMARKER));
setPalette(palette);
axisWidget(QwtPlot::xBottom)->setPalette(palette);
axisWidget(QwtPlot::yLeft)->setPalette(palette);
axisWidget(QwtPlot::yRight)->setPalette(palette);
if (rangemode) setCanvasBackground(GColor(CTRENDPLOTBACKGROUND));
else setCanvasBackground(GColor(CPLOTBACKGROUND));
}
// get the fonts and colors right for the axis scales
void
CPPlot::setAxisTitle(int axis, QString label)
{
// setup the default fonts
QFont stGiles; // hoho - Chart Font St. Giles ... ok you have to be British to get this joke
stGiles.fromString(appsettings->value(this, GC_FONT_CHARTLABELS, QFont().toString()).toString());
stGiles.setPointSize(appsettings->value(NULL, GC_FONT_CHARTLABELS_SIZE, 8).toInt());
QwtText title(label);
title.setColor(GColor(CPLOTMARKER));
title.setFont(stGiles);
QwtPlot::setAxisFont(axis, stGiles);
QwtPlot::setAxisTitle(axis, title);
}
// change the date range for the 'bests' curve
void
CPPlot::setDateRange(const QDate &start, const QDate &end)
{
// wipe out current - calculate will reinstate
startDate = (start == QDate()) ? QDate(1900, 1, 1) : start;
endDate = (end == QDate()) ? QDate(3000, 12, 31) : end;
// we need to replot the bests and model curves
clearCurves(); // clears all bar the ride curve
}
// what series are we plotting ?
void
CPPlot::setSeries(CriticalPowerWindow::CriticalSeriesType criticalSeries)
{
rideSeries = CriticalPowerWindow::getRideSeries(criticalSeries);
this->criticalSeries = criticalSeries;
// we need to set the y axis label to reflect delta
// comparisons too, or even percent, if that is chosen.
// first, are we in compare mode ?
QString prefix = "";
QString series = "";
QString units = "";
QString postfix = "";
if ((rangemode && context->isCompareDateRanges) || (!rangemode && context->isCompareIntervals)) {
if (showDelta) {
prefix = "Delta ";
if (showDeltaPercent) {
postfix = "percent";
}
}
}
enum { linear, inverse, log } scale = log;
switch (criticalSeries) {
case CriticalPowerWindow::veloclinicplot:
series = tr("Veloclinic Plot");
units = tr("J");
scale = linear;
break;
case CriticalPowerWindow::work:
series = tr("Total work");
units = tr("kJ");
scale = linear;
break;
case CriticalPowerWindow::cad:
series = tr("Cadence");
units = tr("rpm");
break;
case CriticalPowerWindow::hr:
series = tr("Heartrate");
units = tr("bpm");
break;
case CriticalPowerWindow::wattsd:
series = tr("Watts delta");
units = tr("watts/s");
break;
case CriticalPowerWindow::cadd:
series = tr("Cadence delta");
units = tr("rpm/s");
break;
case CriticalPowerWindow::nmd:
series = tr("Torque delta");
units = tr("nm/s");
break;
case CriticalPowerWindow::hrd:
series = tr("Heartrate delta");
units = tr("bpm/s");
break;
case CriticalPowerWindow::kphd:
series = tr("Acceleration");
units = tr("m/s/s");
break;
case CriticalPowerWindow::kph:
series = tr("Speed");
units = tr("kph");
break;
case CriticalPowerWindow::nm:
series = tr("Pedal Force");
units = tr("nm");
break;
case CriticalPowerWindow::NP:
series = tr("Normalised Power");
units = tr("watts");
break;
case CriticalPowerWindow::aPower:
series = tr("Altitude Power");
units = tr("watts");
break;
case CriticalPowerWindow::xPower:
series = tr("xPower");
units = tr("watts");
break;
case CriticalPowerWindow::wattsKg:
if (context->athlete->useMetricUnits) {
series = tr("Watts per kilogram");
units = tr("w/kg");
} else {
series = tr("Watts per lb");
units = tr("w/lb");
}
break;
case CriticalPowerWindow::vam:
series = tr("VAM");
units = tr("m/hour");
break;
default:
case CriticalPowerWindow::watts:
series = tr("Power");
units = tr("watts");
break;
}
// set scale to match what's needed
if (scale != log) setAxisScaleEngine(xBottom, new QwtLinearScaleEngine);
else setAxisScaleEngine(xBottom, new QwtLogScaleEngine);
if (criticalSeries == CriticalPowerWindow::veloclinicplot) {
sd = new QwtScaleDraw;
sd->setTickLength(QwtScaleDiv::MajorTick, 3);
sd->enableComponent(QwtScaleDraw::Ticks, false);
setAxisScaleDraw(xBottom, sd);
setAxisTitle(xBottom, tr("Power (W)"));
} else {
ltsd = new LogTimeScaleDraw;
ltsd->setTickLength(QwtScaleDiv::MajorTick, 3);
ltsd->enableComponent(QwtScaleDraw::Ticks, false);
setAxisScaleDraw(xBottom, ltsd);
setAxisTitle(xBottom, tr("Interval Length"));
}
// set axis title
setAxisTitle(yLeft, QString ("%1 %2 (%3) %4").arg(prefix).arg(series).arg(units).arg(postfix));
// zap the old curves
clearCurves();
}
void
CPPlot::initModel()
{
switch (model) {
case 0 : // no model - do nothing
pdModel = NULL;
break;
case 1 : // 2 param
pdModel = new CP2Model(context);
break;
case 2 : // 3 param
pdModel = new CP3Model(context);
break;
case 3 : // extended model
pdModel = new ExtendedModel(context);
break;
case 4 : // multimodel
pdModel = new MultiModel(context);
pdModel->setVariant(modelVariant);
break;
case 5 : // ward smith
pdModel = new WSModel(context);
pdModel->setVariant(modelVariant);
break;
}
if (pdModel) {
// set the model and load data
pdModel->setIntervals(sanI1, sanI2, anI1, anI2, aeI1, aeI2, laeI1, laeI2);
pdModel->setMinutes(true); // we're minutes here ...
pdModel->setData(bestsCache->meanMaxArray(rideSeries));
}
#if GC_HAVE_MODEL_LABS
if (bestsCache->meanMaxArray(rideSeries).count()>0) {
// Test
ExtendedCriticalPower *ecp = new ExtendedCriticalPower(context);
TestModel model = ecp->deriveExtendedCP_6_3_Parameters(true, bestsCache, rideSeries, sanI1, sanI2, anI1, anI2, aeI1, aeI2, laeI1, laeI2);
QwtPlotCurve* plot = ecp->getPlotCurveForExtendedCP_6_3(model);
plot->attach(this);
modelCurves.append(plot);
model = ecp->deriveExtendedCP_5_3_Parameters(true, bestsCache, rideSeries, sanI1, sanI2, anI1, anI2, aeI1, aeI2, laeI1, laeI2);
//plot = ecp->getPlotCurveForExtendedCP_5_3(model);
//plot->attach(this);
//modelCurves.append(plot);
/*QwtPlotIntervalCurve* plot2 = ecp->getPlotCurveForExtendedCP_5_3_CP(model, true, true);
plot2->attach(this);
modelIntCurves.append(plot2);
plot2 = ecp->getPlotCurveForExtendedCP_5_3_WPrime(model, true, true);
plot2->attach(this);
modelIntCurves.append(plot2);
plot2 = ecp->getPlotCurveForExtendedCP_5_3_WSecond(model, true, true);
plot2->attach(this);
modelIntCurves.append(plot2);*/
plot = ecp->getPlotCurveFor10secRollingAverage(bestsCache, rideSeries);
plot->attach(this);
modelCurves.append(plot);
CpPlotCurve *plot3 = ecp->getPlotCurveForQualityPoint(bestsCache, rideSeries);
plot3->attach(this);
modelCPCurves.append(plot3);
plot = ecp->getPlotCurveForDerived(bestsCache, rideSeries);
plot->attach(this);
modelCurves.append(plot);
}
#endif
}
// Plot the dashed line model curve according to the parameters
// and will also plot the heat on the curve or below since it is
// related to the model
void
CPPlot::plotModel()
{
// first lets clear any curves we shouldn't be displaying
// no model curve if not power !
if (model == 0 || (rideSeries != RideFile::watts && rideSeries != RideFile::wattsKg && rideSeries != RideFile::kph)) {
if (modelCurve) {
modelCurve->detach();
delete modelCurve;
modelCurve = NULL;
}
return;
}
// no heat ?
if ((rideSeries != RideFile::watts || showHeat == false) && heatCurve) {
heatCurve->detach();
delete heatCurve;
heatCurve = NULL;
}
// no heat age ?
if ((rideSeries != RideFile::watts || showHeatByDate == false) && heatAgeCurve) {
heatAgeCurve->detach();
delete heatAgeCurve;
heatAgeCurve = NULL;
}
// we don't want a model
if (rideSeries != RideFile::wattsKg && rideSeries != RideFile::watts && rideSeries != RideFile::kph) return;
// we don't have any bests yet?
if (bestsCache == NULL) return;
// if you want something you need to wipe the old one first
if (!modelCurve) {
// new model please
initModel();
if (pdModel) {
// create curve
modelCurve = new QwtPlotCurve("Model");
if (appsettings->value(this, GC_ANTIALIAS, true).toBool() == true)
modelCurve->setRenderHint(QwtPlotItem::RenderAntialiased);
// set the point data
if (criticalSeries == CriticalPowerWindow::veloclinicplot) {
// Plot the model for the veloclinic plot
pdModel->setMinutes(false);
QVector<double> power(pdModel->size());
QVector<double> wprime(pdModel->size());
for (size_t t = 0; t < pdModel->size(); t++) {
power[t] = pdModel->y(t+1);
wprime[t] = (pdModel->y(t+1)-veloCP) * (pdModel->x(t+1)); // Joules
}
modelCurve->setSamples(power.data(), wprime.data(), pdModel->size()-1);
}
else
modelCurve->setData(pdModel);
// curve cosmetics
QPen pen(GColor(CCP));
double width = appsettings->value(this, GC_LINEWIDTH, 0.5).toDouble();
pen.setWidth(width);
if (showBest) pen.setStyle(Qt::DashLine);
modelCurve->setPen(pen);
modelCurve->attach(this);
// update the model parameters display
CriticalPowerWindow *cpw = static_cast<CriticalPowerWindow*>(parent);
// update the helper widget -- either as watts, w/kg or kph
if (rideSeries == RideFile::watts) {
// Reset Rank
cpw->titleRank->setText(tr("Rank"));
//WPrime
cpw->wprimeTitle->setText(tr("W'"));
if (pdModel->hasWPrime()) cpw->wprimeValue->setText(QString(tr("%1 kJ")).arg(pdModel->WPrime() / 1000.0, 0, 'f', 1));
else cpw->wprimeValue->setText(tr("n/a"));
//CP
cpw->cpTitle->setText(tr("CP"));
cpw->cpValue->setText(QString(tr("%1 w")).arg(pdModel->CP(), 0, 'f', 0));
cpw->cpRank->setText(tr("n/a"));
//FTP and FTP ranking
cpw->titleRank->setText(tr("Rank"));
cpw->ftpTitle->setText(tr("FTP"));
if (pdModel->hasFTP()) {
cpw->ftpValue->setText(QString(tr("%1 w")).arg(pdModel->FTP(), 0, 'f', 0));
// Reference 6.25W/kg -> untrained 2.5W/kg
int _ftpLevel = 15 * (pdModel->FTP() / appsettings->cvalue(context->athlete->cyclist, GC_WEIGHT).toDouble() - 2.5) / (6.25-2.5) ;
if (_ftpLevel > 0 && _ftpLevel < 16) // check bounds
cpw->ftpRank->setText(QString("%1").arg(_ftpLevel));
else
cpw->ftpRank->setText(tr("n/a"));
} else {
cpw->ftpValue->setText(tr("n/a"));
cpw->ftpRank->setText(tr("n/a"));
}
// P-MAX and P-MAX ranking
cpw->pmaxTitle->setText(tr("Pmax"));
if (pdModel->hasPMax()) {
cpw->pmaxValue->setText(QString(tr("%1 w")).arg(pdModel->PMax(), 0, 'f', 0));
// Reference 22.5W/kg -> untrained 8W/kg
int _pMaxLevel = 15 * (pdModel->PMax() / appsettings->cvalue(context->athlete->cyclist, GC_WEIGHT).toDouble() - 8) / (23-8) ;
if (_pMaxLevel > 0 && _pMaxLevel < 16) // check bounds
cpw->pmaxRank->setText(QString("%1").arg(_pMaxLevel));
else
cpw->pmaxRank->setText(tr("n/a"));
} else {
cpw->pmaxValue->setText(tr("n/a"));
cpw->pmaxRank->setText(tr("n/a"));
}
// Endurance Index
if (pdModel->hasWPrime() && pdModel->WPrime() && pdModel->hasCP() && pdModel->CP()) {
cpw->eiValue->setText(QString("%1").arg(pdModel->WPrime() / pdModel->CP(), 0, 'f', 0));
}
} else if (rideSeries == RideFile::wattsKg) {
// Reset Rank
cpw->titleRank->setText(tr("Rank"));
//WPrime
cpw->wprimeTitle->setText(tr("W'"));
if (pdModel->hasWPrime()) cpw->wprimeValue->setText(QString(tr("%1 J/kg")).arg(pdModel->WPrime(), 0, 'f', 0));
else cpw->wprimeValue->setText(tr("n/a"));
//CP
cpw->cpTitle->setText(tr("CP"));
cpw->cpValue->setText(QString(tr("%1 w/kg")).arg(pdModel->CP(), 0, 'f', 2));
cpw->cpRank->setText(tr("n/a"));
//FTP and FTP ranking
cpw->ftpTitle->setText(tr("FTP"));
if (pdModel->hasFTP()) {
cpw->ftpValue->setText(QString(tr("%1 w/kg")).arg(pdModel->FTP(), 0, 'f', 2));
// Reference 6.25W/kg -> untrained 2.5W/kg
int _ftpLevel = 15 * (pdModel->FTP() - 2.5) / (6.25-2.5) ;
if (_ftpLevel > 0 && _ftpLevel < 16) // check bounds
cpw->ftpRank->setText(QString("%1").arg(_ftpLevel));
else
cpw->ftpRank->setText(tr("n/a"));
} else {
cpw->ftpValue->setText(tr("n/a"));
cpw->ftpRank->setText(tr("n/a"));
}
// P-MAX and P-MAX ranking
cpw->pmaxTitle->setText(tr("Pmax"));
if (pdModel->hasPMax()) {
cpw->pmaxValue->setText(QString(tr("%1 w/kg")).arg(pdModel->PMax(), 0, 'f', 2));
// Reference 22.5W/kg -> untrained 8W/kg
int _pMaxLevel = 15 * (pdModel->PMax() - 8) / (23-8) ;
if (_pMaxLevel > 0 && _pMaxLevel < 16) // check bounds
cpw->pmaxRank->setText(QString("%1").arg(_pMaxLevel));
else
cpw->pmaxRank->setText(tr("n/a"));
} else {
cpw->pmaxValue->setText(tr("n/a"));
cpw->pmaxRank->setText(tr("n/a"));
}
// Endurance Index
if (pdModel->hasWPrime() && pdModel->WPrime() && pdModel->hasCP() && pdModel->CP()) {
cpw->eiValue->setText(QString("%1").arg(pdModel->WPrime() / pdModel->CP(), 0, 'f', 0));
}
} else if (rideSeries == RideFile::kph) {
const PaceZones *zones = (isRun || isSwim) ? context->athlete->paceZones(isSwim) : NULL;
// Rank field is reused for pace according to sport
bool metricPace = zones ? appsettings->value(this, zones->paceSetting(), true).toBool() : true;
cpw->titleRank->setText(zones ? zones->paceUnits(metricPace) : "n/a");
//DPrime
cpw->wprimeTitle->setText(tr("D'"));
if (pdModel->hasWPrime()) {
cpw->wprimeValue->setText(QString(tr("%1 km")).arg(pdModel->WPrime() / 1000.0, 0, 'f', 3));
cpw->wprimeRank->setText(QString(tr("%1 %2"))
.arg(pdModel->WPrime()/(metricPace ? 1.0 : METERS_PER_YARD), 0, 'f', 0)
.arg(metricPace ? tr("m") : tr("yd")));
} else {
cpw->wprimeValue->setText(tr("n/a"));
cpw->wprimeRank->setText(tr("n/a"));
}
//CV
cpw->cpTitle->setText(tr("CV"));
cpw->cpValue->setText(QString(tr("%1 kph")).arg(pdModel->CP(), 0, 'f', 1));
cpw->cpRank->setText(zones ? zones->kphToPaceString(pdModel->CP(), metricPace) : "n/a");
//FTP
cpw->ftpTitle->setText(tr("FTV"));
if (pdModel->hasFTP()) {
cpw->ftpValue->setText(QString(tr("%1 kph")).arg(pdModel->FTP(), 0, 'f', 1));
cpw->ftpRank->setText(zones ? zones->kphToPaceString(pdModel->FTP(), metricPace) : "n/a");
} else {
cpw->ftpValue->setText(tr("n/a"));
cpw->ftpRank->setText(tr("n/a"));
}
// V-MAX
cpw->pmaxTitle->setText(tr("Vmax"));
if (pdModel->hasPMax()) {
cpw->pmaxValue->setText(QString(tr("%1 kph")).arg(pdModel->PMax(), 0, 'f', 1));
cpw->pmaxRank->setText(zones ? zones->kphToPaceString(pdModel->PMax(), metricPace) : "n/a");
} else {
cpw->pmaxValue->setText(tr("n/a"));
cpw->pmaxRank->setText(tr("n/a"));
}
// Endurance Index
if (pdModel->hasWPrime() && pdModel->WPrime() && pdModel->hasCP() && pdModel->CP()) {
cpw->eiValue->setText(QString("%1").arg(3.6 * pdModel->WPrime() / pdModel->CP(), 0, 'f', 0));
}
}
}
}
//
// HEAT
//
// we want a heat curve but don't have one
if (heatCurve == NULL && showHeat && rideSeries == RideFile::watts && bestsCache && bestsCache->heatMeanMaxArray().count()) {
// heat curve
heatCurve = new QwtPlotCurve("heat");
if (appsettings->value(this, GC_ANTIALIAS, true).toBool() == true) heatCurve->setRenderHint(QwtPlotItem::RenderAntialiased);
heatCurve->setBrush(QBrush(GColor(CCP).darker(200)));
heatCurve->setPen(QPen(Qt::NoPen));
heatCurve->setZ(-1);
// generate samples
QVector<double> heat;
QVector<double> time;
for (int i=1; i<bestsCache->meanMaxArray(RideFile::watts).count() && i<bestsCache->heatMeanMaxArray().count(); i++) {
QwtIntervalSample add(i/60.00f, bestsCache->meanMaxArray(RideFile::watts)[i] - bestsCache->heatMeanMaxArray()[i],
bestsCache->meanMaxArray(RideFile::watts)[i]/* + bestsCache->heatMeanMaxArray()[i]*/);
time << double(i)/60.00f;
heat << bestsCache->heatMeanMaxArray()[i];
}
heatCurve->setSamples(time, heat);
heatCurve->setYAxis(yRight);
setAxisScale(yRight, 0, 100); // fine if only heat is shown and percentage Scale will be fixed if shown
if (showPercent) setAxisTitle(yRight, tr("Percent of Best / Heat Activities"));
else setAxisTitle(yRight, tr("Heat Activities"));
heatCurve->attach(this);
}
setAxisVisible(yRight, showHeat || (showPercent && rideCurve));
// setAxisVisible(yRight, showHeat || showPercent);
//
// HEAT AGE
//
// we need a heat by date curve but don't have one
if (heatAgeCurve == NULL && showHeatByDate && bestsCache) {
// HeatCurveByDate
heatAgeCurve = new CpPlotCurve("heat by date");
if (appsettings->value(this, GC_ANTIALIAS, true).toBool() == true)
heatAgeCurve->setRenderHint(QwtPlotItem::RenderAntialiased);
heatAgeCurve->setPenWidth(1);
QwtLinearColorMap *colorMap = new QwtLinearColorMap(Qt::blue, Qt::red);
heatAgeCurve->setColorMap(colorMap);
// generate samples
QVector<QwtPoint3D> heatByDateSamples;
for (int i=1; i<bestsCache->meanMaxArray(rideSeries).count(); i++) {
QDate date = bestsCache->meanMaxDates(rideSeries)[i];
double heat = 1000*(bestsCache->start.daysTo(bestsCache->end)-date.daysTo(bestsCache->end))/(bestsCache->start.daysTo(bestsCache->end));
QwtPoint3D add(i/60.00f, bestsCache->meanMaxArray(rideSeries)[i], heat);
heatByDateSamples << add;
}
heatAgeCurve->setSamples(heatByDateSamples);
heatAgeCurve->attach(this);
}
zoomer->setZoomBase(false);
}
// our model for combining a model for delta mode
class DeltaModel : public QwtSyntheticPointData
{
public:
double x(unsigned int index) const { return baseline->x(index); }
double y(double t) const { return us->y(t) - baseline->y(t); }
// use the same interval and size as the baseline model
DeltaModel(PDModel *us, PDModel *baseline) : QwtSyntheticPointData(baseline->size()), us(us), baseline(baseline) {
setInterval(baseline->interval());
}
private:
PDModel *us, *baseline;
};
// in compare mode we can plot models and compare them...
void
CPPlot::plotModel(QVector<double> vector, QColor plotColor, PDModel *baseline)
{
// first lets clear any curves we shouldn't be displaying
// no model curve if not power !
if (!context->isCompareDateRanges || model == 0 || (rideSeries != RideFile::watts && rideSeries != RideFile::wattsKg && rideSeries != RideFile::kph)) {
return;
}
// we don't want a model
if (rideSeries != RideFile::wattsKg && rideSeries != RideFile::watts && rideSeries != RideFile::kph) return;
PDModel *pdmodel = NULL; // synthetic data provider for curve
// new model please
switch (model) {
case 1 : // 2 param
pdmodel = new CP2Model(context);
break;
case 2 : // 3 param
pdmodel = new CP3Model(context);
break;
case 3 : // extended model
pdmodel = new ExtendedModel(context);
break;
case 4 : // multimodel
pdmodel = new MultiModel(context);
pdmodel->setVariant(modelVariant);
break;
case 5 : // ward smith model
pdmodel = new WSModel(context);
pdmodel->setVariant(modelVariant);
break;
}
// set the model and load data
pdmodel->setIntervals(sanI1, sanI2, anI1, anI2, aeI1, aeI2, laeI1, laeI2);
pdmodel->setMinutes(true); // we're minutes here ...
pdmodel->setData(vector);
// create curve
QwtPlotCurve *curve = new QwtPlotCurve("Model");
if (appsettings->value(this, GC_ANTIALIAS, true).toBool() == true)
curve->setRenderHint(QwtPlotItem::RenderAntialiased);
if (baseline) {
// doing a delta model
curve->setData(new DeltaModel(pdmodel, baseline));
} else {
// set the point data
curve->setData(pdmodel);
}
// curve cosmetics
QPen pen(plotColor);
double width = appsettings->value(this, GC_LINEWIDTH, 0.5).toDouble();
pen.setWidth(width);
if (showBest) pen.setStyle(Qt::DashLine);
curve->setPen(pen);
curve->attach(this);
intervalCurves.append(curve);
zoomer->setZoomBase(false);
}
// wipe away all the curves
void
CPPlot::clearCurves()
{
// bests ridefilecache
if (bestsCache) {
delete bestsCache;
bestsCache = NULL;
}
// model curve
if (modelCurve) {
delete modelCurve;
modelCurve = NULL;
}
// ride curve
if (rideCurve) {
delete rideCurve;
rideCurve = NULL;
}
// efforts curve
if (effortCurve) {
delete effortCurve;
effortCurve = NULL;
}
// rainbow curve
if (bestsCurves.count()) {
foreach (QwtPlotCurve *curve, bestsCurves) delete curve;
bestsCurves.clear();
}
// rainbow labels
if (allZoneLabels.size()) {
foreach (QwtPlotMarker *label, allZoneLabels)
delete label;
allZoneLabels.clear();
}
// heat curves
if (heatCurve) {
delete heatCurve;
heatCurve = NULL;
}
if (heatAgeCurve) {
delete heatAgeCurve;
heatAgeCurve = NULL;
}
if (modelCurves.count()) {
foreach (QwtPlotCurve *curve, modelCurves) delete curve;
modelCurves.clear();
}
if (modelIntCurves.count()) {
foreach (QwtPlotIntervalCurve *curve, modelIntCurves) delete curve;
modelIntCurves.clear();
}
if (modelCPCurves.count()) {
foreach (CpPlotCurve *curve, modelCPCurves) delete curve;
modelCPCurves.clear();
}
}
// get bests or an empty set if it is null
QVector<double>
CPPlot::getBests()
{
if (bestsCache) return bestsCache->meanMaxArray(rideSeries);
else return QVector<double>();
}
// get bests dates or an empty set if it is null
QVector<QDate>
CPPlot::getBestDates()
{
if (bestsCache) return bestsCache->meanMaxDates(rideSeries);
else return QVector<QDate>();
}
// plot the bests curve and refresh the data if needed too
void
CPPlot::plotBests(RideItem *rideItem)
{
// we already drew the bests, if you want them again
// you need to wipe away whats there buddy
if (bestsCurves.count()) return;
// do we need to get the cache ?
if (bestsCache == NULL) {
bestsCache = new RideFileCache(context, startDate, endDate, isFiltered, files, rangemode, rideItem);
}
// how much we got ?
int maxNonZero = 0;
if (bestsCache->meanMaxArray(rideSeries).size()) {
for (int i = 0; i < bestsCache->meanMaxArray(rideSeries).size(); ++i) {
if (bestsCache->meanMaxArray(rideSeries)[i] > 0) maxNonZero = i;
}
}
// no data dude
if (maxNonZero == 0) return;
// lets call the curve drawer
const double *values = bestsCache->meanMaxArray(rideSeries).constData() + 1;
// we can only do shading of the bests curve
// when we have power or speed and the user wants it to
// be a rainbow curve. Otherwise its gonna be plain
int shadingCP = 0;
double shadingRatio = 1.0;
if ((rideSeries == RideFile::wattsKg || rideSeries == RideFile::watts) && shadeMode) shadingCP = dateCP;
if (rideSeries == RideFile::wattsKg && shadeMode) shadingRatio = appsettings->cvalue(context->athlete->cyclist, GC_WEIGHT).toDouble();
double shadingCV = 0.0;
if (rideSeries == RideFile::kph && shadeMode) shadingCV = dateCV;
//For veloclinic plot we need to start by using a 2 parameters model
if (criticalSeries == CriticalPowerWindow::veloclinicplot) {
int selectedModel = model;
if (model == 0)
model = 1;
initModel();
model = selectedModel;
shadingCP = veloCP;
}
// lets setup a time array to the size we want to plot the bests curve
// and do work at the same time since its used in a few places below
QVector<double> time(maxNonZero);
QVector<double> work(maxNonZero);
QVector<double> wprime(maxNonZero);
for (int t = 0; t < maxNonZero; t++) {
time[t] = (t+1.00f) / 60.00f;
work[t] = values[t] * t / 1000; // kJ not Joules
if (criticalSeries == CriticalPowerWindow::veloclinicplot) {
wprime[t] = (values[t]<veloCP?0:(values[t]-veloCP) * time[t] * 60.0); // Joules
}
}
if (showBest) {
if (shadingCP == 0 && shadingCV == 0.0) {
// PLAIN CURVE
// if we're plotting work we need to adjust from
// power to work from the bests cache, before we
// set the curve samples.
//
// no zones wanted
QwtPlotCurve *curve = new QwtPlotCurve(tr("Bests"));
if (appsettings->value(this, GC_ANTIALIAS, true).toBool() == true)
curve->setRenderHint(QwtPlotItem::RenderAntialiased);
// lets make it the right colour for the date series
QPen line;
QColor fill;
switch (rideSeries) {
case RideFile::kphd:
line.setColor(GColor(CACCELERATION).darker(200));
fill = (GColor(CACCELERATION));
break;
case RideFile::kph:
line.setColor(GColor(CSPEED).darker(200));
fill = (GColor(CSPEED));
break;
case RideFile::cad:
case RideFile::cadd:
line.setColor(GColor(CCADENCE).darker(200));
fill = (GColor(CCADENCE));
break;
case RideFile::nm:
case RideFile::nmd:
line.setColor(GColor(CTORQUE).darker(200));
fill = (GColor(CTORQUE));
break;
case RideFile::hr:
case RideFile::hrd:
line.setColor(GColor(CHEARTRATE).darker(200));
fill = (GColor(CHEARTRATE));
break;
case RideFile::vam:
line.setColor(GColor(CALTITUDE).darker(200));
fill = (GColor(CALTITUDE));
break;
default:
case RideFile::watts:
line.setColor(GColor(CCP));
fill = (GColor(CCP));
break;
case RideFile::wattsd:
case RideFile::NP:
case RideFile::xPower:
line.setColor(GColor(CPOWER).darker(200));
fill = (GColor(CPOWER));
break;
}
// when plotting power bests AND a model we draw bests as dots
// but only if in 'plain' mode .. not doing a rainbow curve.
if ((rideSeries == RideFile::wattsKg || rideSeries == RideFile::watts || rideSeries == RideFile::kph) && model) {
QwtSymbol *sym = new QwtSymbol;
sym->setStyle(QwtSymbol::Ellipse);
sym->setSize(4);
sym->setBrush(QBrush(fill));
sym->setPen(QPen(fill));
curve->setSymbol(sym);
curve->setStyle(QwtPlotCurve::Dots);
}
fill.setAlpha(64);
line.setWidth(appsettings->value(this, GC_LINEWIDTH, 0.5).toDouble());
curve->setPen(line);
if (rideSeries == RideFile::watts || rideSeries == RideFile::wattsKg || rideSeries == RideFile::kph)
curve->setBrush(Qt::NoBrush);
else
curve->setBrush(QBrush(fill));
if (criticalSeries == CriticalPowerWindow::work)
curve->setSamples(time, work);
else if (criticalSeries == CriticalPowerWindow::veloclinicplot)
curve->setSamples(bestsCache->meanMaxArray(rideSeries).data()+1, wprime.data(), maxNonZero-1);
else
curve->setSamples(time.data(), bestsCache->meanMaxArray(rideSeries).data()+1, maxNonZero-1);
curve->attach(this);
bestsCurves.append(curve);
} else if (shadingCP > 0) {
//
// RAINBOW CURVE We are plotting power AND the user wants a rainbow
//
// set zones from shading CP
QList <int> power_zone;
int n_zones = context->athlete->zones()->lowsFromCP(&power_zone, (int) int(shadingCP));
// now run through each zone and create a curve
int high = maxNonZero - 1;
int zone = 0;
while (zone < n_zones && high > 0) {
// create the curve
QwtPlotCurve *curve = new QwtPlotCurve("");
bestsCurves.append(curve);
curve->attach(this);
// get range for the curve
int low = high - 1;
int nextZone = zone + 1;
if (nextZone >= power_zone.size())
low = 0;
else {
while ((low > 0) && (values[low] < power_zone[nextZone]/shadingRatio))
--low;
}
// set samples
if (criticalSeries == CriticalPowerWindow::work) { // this is Energy mode
curve->setSamples(time.data() + low, work.data() + low, high - low + 1);
} if (criticalSeries == CriticalPowerWindow::veloclinicplot) {
curve->setSamples(values + low, wprime.data() + low, high - low + 1);
} else {
curve->setSamples(time.data() + low, values + low, high - low + 1);
}
// set the pen color and line width etc
QColor color = zoneColor(zone, n_zones);
if (appsettings->value(this, GC_ANTIALIAS, true).toBool() == true)
curve->setRenderHint(QwtPlotItem::RenderAntialiased);
QPen pen(color.darker(200));
pen.setColor(GColor(CCP)); //XXX color ?
double width = appsettings->value(this, GC_LINEWIDTH, 0.5).toDouble();
pen.setWidth(width);
curve->setPen(pen);
// use a linear gradient
if (shadeMode && shadingCP) { // 0 value means no shading please - and only if proper value for shadingCP
color.setAlpha(128);
QColor color1 = color.darker();
QLinearGradient linearGradient(0, 0, 0, height());
linearGradient.setColorAt(0.0, color);
linearGradient.setColorAt(1.0, color1);
linearGradient.setSpread(QGradient::PadSpread);
curve->setBrush(linearGradient); // fill below the line
}
// now the labels
if (shadeMode && (criticalSeries != CriticalPowerWindow::work || work[high] > 100.0)) {
QwtText text(context->athlete->zones()->getDefaultZoneName(zone));
text.setFont(QFont("Helvetica", 20, QFont::Bold));
color.setAlpha(255);
text.setColor(color);
QwtPlotMarker *label_mark = new QwtPlotMarker();
// place the text in the geometric mean in time, at a decent power
double x, y;
if (criticalSeries == CriticalPowerWindow::work) {
x = (time[low] + time[high]) / 2;
y = (work[low] + work[high]) / 5;
} else if (criticalSeries == CriticalPowerWindow::veloclinicplot) {
x = (values[low] + values[high]) / 2;
if (wprime[high]<1000 && wprime[low]<1000)
y = -1000;
else
y = pdModel->WPrime()/4;
} else {
x = sqrt(time[low] * time[high]);
y = (values[low] + values[high]) / 5;
}
label_mark->setValue(x, y);
label_mark->setLabel(text);
label_mark->attach(this);
allZoneLabels.append(label_mark);
}
high = low;
++zone;
}
} else if (shadingCV > 0.0) {
//
// RAINBOW CURVE We are plotting speed AND the user wants a rainbow
//
// set zones from shading CV
QList <double> pace_zone;
int n_zones = context->athlete->paceZones(isSwim)->lowsFromCV(&pace_zone, shadingCV);
// now run through each zone and create a curve
int high = maxNonZero - 1;
int zone = 0;
while (zone < n_zones && high > 0) {
// create the curve
QwtPlotCurve *curve = new QwtPlotCurve("");
bestsCurves.append(curve);
curve->attach(this);
// get range for the curve
int low = high - 1;
int nextZone = zone + 1;
if (nextZone >= pace_zone.size())
low = 0;
else {
while ((low > 0) && (values[low] < pace_zone[nextZone]))
--low;
}
// set samples
curve->setSamples(time.data() + low, values + low, high - low + 1);
// set the pen color and line width etc
QColor color = paceZoneColor(zone, n_zones);
if (appsettings->value(this, GC_ANTIALIAS, true).toBool() == true)
curve->setRenderHint(QwtPlotItem::RenderAntialiased);
QPen pen(color.darker(200));
pen.setColor(GColor(CCP)); //XXX color ?
double width = appsettings->value(this, GC_LINEWIDTH, 0.5).toDouble();
pen.setWidth(width);
curve->setPen(pen);
// use a linear gradient
if (shadeMode && shadingCV) { // 0 value means no shading please - and only if proper value for shadingCV
color.setAlpha(128);
QColor color1 = color.darker();
QLinearGradient linearGradient(0, 0, 0, height());
linearGradient.setColorAt(0.0, color);
linearGradient.setColorAt(1.0, color1);
linearGradient.setSpread(QGradient::PadSpread);
curve->setBrush(linearGradient); // fill below the line
}
// now the labels
if (shadeMode) {
QwtText text(context->athlete->paceZones(isSwim)->getDefaultZoneName(zone));
text.setFont(QFont("Helvetica", 20, QFont::Bold));
color.setAlpha(255);
text.setColor(color);
QwtPlotMarker *label_mark = new QwtPlotMarker();
// place the text in the geometric mean in time, at a decent power
double x, y;
x = sqrt(time[low] * time[high]);
y = (values[low] + values[high]) / 5;
label_mark->setValue(x, y);
label_mark->setLabel(text);
label_mark->attach(this);
allZoneLabels.append(label_mark);
}
high = low;
++zone;
}
}
}
// X-AXIS
// now sort the axis for the bests curve
double xmin = 1.0f/60.0f - 0.001f;
double xmax = time[maxNonZero - 1];
// truncate at an hour for energy mode
if (criticalSeries == CriticalPowerWindow::work) xmax = 60.0;
// not interested in short durations for vam
if (criticalSeries == CriticalPowerWindow::vam) xmin = 4.993;
// now set the scale
QwtScaleDiv div((double)xmin, (double)xmax);
if (criticalSeries == CriticalPowerWindow::work)
div.setTicks(QwtScaleDiv::MajorTick, LogTimeScaleDraw::ticksEnergy);
else if (criticalSeries == CriticalPowerWindow::veloclinicplot)
div.setTicks(QwtScaleDiv::MajorTick, LogTimeScaleDraw::ticksVeloclinic);
else
div.setTicks(QwtScaleDiv::MajorTick, LogTimeScaleDraw::ticks);
setAxisScaleDiv(QwtPlot::xBottom, div);
if (criticalSeries == CriticalPowerWindow::veloclinicplot) {
double xmax;
xmax = 100 * ceil(values[0] / 100);
if (xmax == 100) xmax = 5 * ceil(values[0] / 5);
// set ymax to nearest 100 if power
int max = xmax * 1.1f;
max = ((max/100) + 1) * 100;
setAxisScale(QwtPlot::xBottom, 0, max);
}
// Y-AXIS
double ymax;
if (criticalSeries == CriticalPowerWindow::work) {
int i = std::lower_bound(time.begin(), time.end(), 60.0) - time.begin();
ymax = 10 * ceil(work[i] / 10);
} else if (criticalSeries == CriticalPowerWindow::vam) {
double yVam = bestsCache->meanMaxArray(RideFile::vam).value(296);
ymax = 100 * ceil(yVam / 100); // index of xMin for Time
} else {
ymax = 100 * ceil(values[0] / 100);
if (ymax == 100) ymax = 5 * ceil(values[0] / 5);
}
// adjust if for power
if (rideSeries == RideFile::watts && criticalSeries != CriticalPowerWindow::veloclinicplot) {
// set ymax to nearest 100 if power
int max = ymax * 1.1f;
max = ((max/100) + 1) * 100;
setAxisScale(yLeft, 0, max);
}
else if (criticalSeries == CriticalPowerWindow::veloclinicplot) {
setAxisScale(yLeft, 0, 1.5*pdModel->WPrime());
}
else if (criticalSeries == CriticalPowerWindow::vam) {
// VAM is very big anyway - so just 5% headroom
setAxisScale(yLeft, 0, 1.05*ymax);
} else {
// or just add 10% headroom
setAxisScale(yLeft, 0, 1.1*values[0]);
}
zoomer->setZoomBase(false);
}
void
CPPlot::plotEfforts()
{
// only for power, if not already plotted and there are actually some efforts
if (criticalSeries != CriticalPowerWindow::watts || effortCurve || !showEffort) return;
// nothing to plot when plotting rides
if (!rangemode && context->currentRideItem()->intervals(RideFileInterval::EFFORT).count() ==0) return;
QwtSymbol *sym = new QwtSymbol;
sym->setStyle(QwtSymbol::Ellipse);
sym->setSize(rangemode ? 4 : 6);
QColor col= GColor(CPOWER);
col.setAlpha(128);
sym->setBrush(col);
sym->setPen(QPen(Qt::NoPen));
// create a curve
effortCurve = new QwtPlotCurve();
effortCurve->setSymbol(sym);
effortCurve->setStyle(QwtPlotCurve::Dots);
effortCurve->setRenderHint(QwtPlotItem::RenderAntialiased);
// plot for a range of rides
if (rangemode) {
// size for all rides, can increase if needed
QVector<double> xvals;
QVector<double> yvals;
FilterSet fs; // apply filters when selecting intervals
fs.addFilter(context->isfiltered, context->filters);
fs.addFilter(context->ishomefiltered, context->homeFilters);
Specification spec;
spec.setFilterSet(fs);
spec.setDateRange(DateRange(startDate, endDate));
int count=0;
foreach(RideItem *r, context->athlete->rideCache->rides()) {
// does it match ?
if (!spec.pass(r)) continue;
// add the intervals
foreach(IntervalItem *i, r->intervals(RideFileInterval::EFFORT)) {
// is it a silly value?
if (i->getForSymbol("average_power") > 3000) continue;
xvals << i->getForSymbol("workout_time") / 60.0f;
yvals << i->getForSymbol("average_power");
count++;
}
}
if (count) {
// set the data and attach to the plot
effortCurve->setSamples(xvals.constData(), yvals.constData(), count);
effortCurve->attach(this);
}
} else {
// plot for the current ride
QList<IntervalItem *> intervals = context->currentRideItem()->intervals(RideFileInterval::EFFORT);
// size for all rides, can increase if needed
QVector<double> xvals(intervals.count());
QVector<double> yvals(intervals.count());
for(int i=0; i<intervals.count(); i++) {
xvals[i] = double(intervals.at(i)->getForSymbol("workout_time")) / 60.0f;
yvals[i] = double(intervals.at(i)->getForSymbol("average_power"));
}
// set the data and attach to the plot
effortCurve->setSamples(xvals.constData(), yvals.constData(), intervals.count());
effortCurve->attach(this);
}
}
void
CPPlot::refreshUpdate(QDate)
{
// we don't need to lookat the date since we know if the data is incomplete
if (bestsCache && bestsCache->incomplete && (lastupdate == QTime() || lastupdate.secsTo(QTime::currentTime()) > 5)) {
lastupdate = QTime::currentTime();
clearCurves();
setRide(const_cast<RideItem*>(context->currentRideItem()));
}
// what about in compare season mode ?
if (rangemode && context->isCompareDateRanges && (lastupdate == QTime() || lastupdate.secsTo(QTime::currentTime()) > 5)) {
lastupdate = QTime::currentTime();
calculateForDateRanges(context->compareDateRanges);
return;
}
}
void
CPPlot::refreshEnd()
{
refreshUpdate(QDate());
}
// plot the currently selected ride
void
CPPlot::plotRide(RideItem *rideItem)
{
// currently selected ride wanted ?
if (!rideItem || rangemode || plotType == 2) return;
// if its already plotted we don't do it again
// it is wiped when setRide is called to force
// a replot
if (rideCurve) return;
// there is not data to plot!
if (rideItem->fileCache()->meanMaxArray(rideSeries).size() == 0) return;
// check what we do have to plot
int maxNonZero = 0;
QVector<double> timeArray(rideItem->fileCache()->meanMaxArray(rideSeries).size());
for (int i = 0; i < rideItem->fileCache()->meanMaxArray(rideSeries).size(); ++i) {
timeArray[i] = i / 60.0;
if (rideItem->fileCache()->meanMaxArray(rideSeries)[i] > 0) maxNonZero = i;
}
// do we have nonzero data to plot ?
if (maxNonZero == 1) return;
// Right, lets actually plot the ride
rideCurve = new QwtPlotCurve(rideItem->dateTime.toString(tr("ddd MMM d, yyyy hh:mm")));
rideCurve->setRenderHint(QwtPlotItem::RenderAntialiased);
rideCurve->setBrush(QBrush(Qt::NoBrush)); // never filled
// what color and fill do we have for the ride ?
// there is a specific colour setting for the "ride curve" on
// the CP plot, regardless of the series. Its only the bests
// curve that gets any special colour treatment.
QPen ridePen;
ridePen.setColor(GColor(CRIDECP));
double width = appsettings->value(this, GC_LINEWIDTH, 0.5).toDouble();
ridePen.setWidth(width);
rideCurve->setPen(ridePen);
// set the curve samples
if (criticalSeries == CriticalPowerWindow::work) {
// WORK
QVector<double> energyArray(rideItem->fileCache()->meanMaxArray(RideFile::watts).size());
for (int i = 0; i <= maxNonZero; ++i) {
energyArray[i] = timeArray[i] * rideItem->fileCache()->meanMaxArray(RideFile::watts)[i] * 60.0 / 1000.0;
}
rideCurve->setSamples(timeArray.data() + 1, energyArray.constData() + 1,
maxNonZero > 0 ? maxNonZero-1 : 0);
} else if (criticalSeries == CriticalPowerWindow::veloclinicplot) {
// Veloclinic plot
QVector<double> array(rideItem->fileCache()->meanMaxArray(RideFile::watts).size());
for (int i = 0; i <= maxNonZero; ++i) {
array[i] = (rideItem->fileCache()->meanMaxArray(rideSeries)[i]<veloCP?0:(rideItem->fileCache()->meanMaxArray(rideSeries)[i]-veloCP) * timeArray[i] * 60.0);
}
rideCurve->setSamples(rideItem->fileCache()->meanMaxArray(rideSeries).constData() + 1, array.constData() + 1,
maxNonZero > 0 ? maxNonZero-1 : 0);
} else {
// ALL OTHER RIDE SERIES
// AS A PERCENTAGE
// we want as a percent of best and we do have
// the bests available
if (showPercent && bestsCache) {
QVector<double> samples(timeArray.size());
// percentify from the cache
for(int i=0; i <samples.size() && i < rideItem->fileCache()->meanMaxArray(rideSeries).size() &&
i <bestsCache->meanMaxArray(rideSeries).size(); i++) {
samples[i] = rideItem->fileCache()->meanMaxArray(rideSeries)[i] /
bestsCache->meanMaxArray(rideSeries)[i] * 100.00f;
}
rideCurve->setSamples(timeArray.data() + 1, samples.data() + 1,
maxNonZero > 0 ? maxNonZero-1 : 0);
// did we get over 100% .. because if so
// we need to set the maxY on the RHS to reflect that
int max = rideCurve->maxYValue();
if (max < 100) max = 100;
else max = max * 1.05f;
setAxisScale(yRight, 0, max); // always 100
// set the right titles in case both Heat and Percent of best is show
if (showHeat) setAxisTitle(yRight, tr("Percent of Best / Heat Activities"));
else setAxisTitle(yRight, tr("Percent of Best"));
} else {
// JUST A NORMAL CURVE
rideCurve->setYAxis(yLeft);
rideCurve->setSamples(timeArray.data() + 1, rideItem->fileCache()->meanMaxArray(rideSeries).constData() + 1,
maxNonZero > 0 ? maxNonZero-1 : 0);
// Set the YAxis Title if Heat is active
if (showHeat) setAxisTitle(yRight, tr("Heat Activities"));
}
}
// which axis should it be on?
// and also make sure its visible
rideCurve->setYAxis(showPercent ? yRight : yLeft);
setAxisVisible(yRight, showPercent || showHeat);
rideCurve->attach(this);
zoomer->setZoomBase(false);
}
// notified that the user selected a ride
void
CPPlot::setRide(RideItem *rideItem)
{
// null ride ?
if (!rideItem) return;
// Season Compare Mode -- so nothing for us to do
if (rangemode && context->isCompareDateRanges) return calculateForDateRanges(context->compareDateRanges);
// Interval Compare Mode -- so go do that instead
if (!rangemode && context->isCompareIntervals) return calculateForIntervals(context->compareIntervals);
// clear the old ride curve and cache
// regardless, as its no longer relevant
// we may not create new ones but at least
// we will always remove out of date info
if (rideCurve) {
rideCurve->detach();
delete rideCurve;
rideCurve = NULL;
}
// clear any centile and interval curves
// since they will be for an old ride
foreach(QwtPlotCurve *c, centileCurves) {
c->detach();
delete c;
}
centileCurves.clear();
foreach(QwtPlotCurve *c, intervalCurves) {
c->detach();
delete c;
}
intervalCurves.clear();
if (effortCurve) {
effortCurve->detach();
delete effortCurve;
effortCurve = NULL;
}
// MAKE SURE BESTS IS UP TO DATE FIRST AS WE REFERENCE IT
// first make sure the bests cache is up to date as we may need it
// if plotting in percentage mode, so get data and plot it now
// delete if sport changed
if (!rangemode) {
setSport(rideItem->isRun, rideItem->isSwim);
delete bestsCache;
bestsCache = NULL;
clearCurves();
plotBests(rideItem);
} else {
plotBests(NULL);
}
// Plot Sustained Efforts
plotEfforts();
// do we actually have something to plot?
if (rideItem && rideItem->ride() && rideItem->ride()->dataPoints().count()) {
// NOW PLOT OUR CURVE
// We are a percent or plain curve
switch (plotType) {
case 0 :
{
// MEANMAX
// Plot as normal or percent
plotRide(rideItem);
refreshReferenceLines(rideItem);
}
break;
case 1 :
{
// CENTILE
// calculates all the data from the raw ride data, so doesn't need
// a cache and doesn't make sense to plot reference lines
plotCentile(rideItem);
}
break;
case 2 :
{
// NONE
// make sure there is no ride curve plotted then
// NOTE: It was already wiped away at the beginning
// of this method so there really is nothing
// left to do !
}
break;
}
}
// NOW PLOT THE MODEL CURVE
// it will need to decide if it is relevant etc
// but we need to make sure we have it
plotModel();
// now replot please
replot();
}
// the picker hovered over a point on a curve
void
CPPlot::pointHover(QwtPlotCurve *curve, int index)
{
if (criticalSeries == CriticalPowerWindow::watts && showBest && curve == modelCurve && modelCurve != NULL)
return; // ignore model curve hover
if (index >= 0) {
double xvalue = curve->sample(index).x();
double yvalue = curve->sample(index).y();
QString text, dateStr, paceStr;
QString currentRidePercentStr;
QString units1;
QString units2;
// add when to tooltip if its all curve
if (bestsCurves.contains(curve)) {
int index = xvalue * 60;
if (index >= 0 && bestsCache && getBests().count() > index) {
QDate date = getBestDates()[index];
dateStr = date.toString(tr("\nddd, dd MMM yyyy"));
}
}
if (criticalSeries == CriticalPowerWindow::veloclinicplot)
units1 = RideFile::unitName(rideSeries, context);
else
units1 = ""; // time --> no units
// show percent ?
if ((((rangemode && context->isCompareDateRanges)
|| (!rangemode && context->isCompareIntervals)) && showDelta && showDeltaPercent)
|| (curve == rideCurve && showPercent)) units2 = QString("%");
else if (criticalSeries == CriticalPowerWindow::veloclinicplot)
units2 = "J"; // Joule
else if (criticalSeries == CriticalPowerWindow::kph)
units2 = tr("kph"); // yAxis doesn't obey units settings yet, remove when fixed
else
units2 = RideFile::unitName(rideSeries, context);
// for the current ride curve, add a percent of rider's actual best.
if (!showPercent && curve == rideCurve && index >= 0 && getBests().count() > index) {
double bestY = getBests()[index];
if (0 != bestY) {
// use 0 decimals for the percent.
currentRidePercentStr = QString("\n%1 %2")
.arg((yvalue *100)/ bestY, 0, 'f', 0)
.arg(tr("Percent of Best"));
}
}
// no units for Heat Curve
if (curve == heatCurve) units2 = QString(tr("Activities"));
// for speed series add pace with units according to settings
if (criticalSeries == CriticalPowerWindow::kph && (isRun || isSwim)) {
const PaceZones *zones = context->athlete->paceZones(isSwim);
bool metricPace = zones ? appsettings->value(this, zones->paceSetting(), true).toBool() : true;
paceStr = QString("\n%1 %2").arg(zones->kphToPaceString(yvalue, metricPace)).arg(zones->paceUnits(metricPace));
double km = yvalue*xvalue/60.0; // distance in km
if (isSwim) {
paceStr += tr("\n%1 m %2 yd").arg(1000*km, 0, 'f', 0)
.arg(1000*km/METERS_PER_YARD, 0, 'f', 0);
} else {
paceStr += tr("\n%1 km %2 mi").arg(km, 0, 'f', 3)
.arg(MILES_PER_KM*km, 0, 'f', 3);
}
}
// output the tooltip
text = QString("%1%2\n%3 %4%7%5%6")
.arg(criticalSeries == CriticalPowerWindow::veloclinicplot?QString("%1").arg(xvalue, 0, 'f', RideFile::decimalsFor(rideSeries)):interval_to_str(60.0*xvalue))
.arg(units1)
.arg(yvalue, 0, 'f', RideFile::decimalsFor(rideSeries))
.arg(units2)
.arg(dateStr)
.arg(currentRidePercentStr)
.arg(paceStr);
// set that text up
zoomer->setText(text);
return;
}
// no point
zoomer->setText("");
}
void
CPPlot::exportBests(QString filename)
{
QFile f(filename);
if (!f.open(QIODevice::WriteOnly | QIODevice::Text)) return; // couldn't open file
// do we want to export the model estimate too ?
bool expmodel = (model && pdModel && (rideSeries == RideFile::wattsKg || rideSeries == RideFile::watts || rideSeries == RideFile::kph));
// open stream and write header
QTextStream stream(&f);
stream << "seconds, value," << (expmodel ? " model, date" : " date") << endl;
// output a row for each second
foreach(QwtPlotCurve *bestsCurve, bestsCurves) {
// just output for the bests curve
for (size_t i=0; i<bestsCurve->data()->size(); i++) {
double xvalue = bestsCurve->sample(i).x();
double yvalue = bestsCurve->sample(i).y();
double modelvalue = expmodel ? pdModel->y(xvalue) : 0;
int index = xvalue * 60.00f;
QDate date;
if (index >= 0 && bestsCache && getBests().count() > index) {
date = getBestDates()[index];
}
// values
if (expmodel) stream << int(xvalue * 60.00f) << "," << yvalue << "," << modelvalue << "," << date.toString() << endl;
else stream << int(xvalue * 60.00f) << "," << yvalue << "," << date.toString() << endl;
}
}
// and we're done
f.close();
}
// no filter
void
CPPlot::clearFilter()
{
isFiltered = false;
files.clear();
delete bestsCache;
bestsCache = NULL;
clearCurves();
}
// set a filter
void
CPPlot::setFilter(QStringList list)
{
isFiltered = true;
files = list;
delete bestsCache;
bestsCache = NULL;
clearCurves();
}
void
CPPlot::setShowHeat(bool x)
{
showHeat = x;
clearCurves();
}
void
CPPlot::setShowEffort(bool x)
{
showEffort = x;
clearCurves();
}
void
CPPlot::setShowBest(bool x)
{
showBest = x;
clearCurves();
}
void
CPPlot::setShowPercent(bool x)
{
showPercent = x;
}
void
CPPlot::setShowDelta(bool delta, bool percent)
{
showDelta = delta;
showDeltaPercent = percent;
setSeries(this->criticalSeries); // y-axis
}
void
CPPlot::setShowHeatByDate(bool x)
{
showHeatByDate = x;
clearCurves();
}
void
CPPlot::setShadeMode(int x)
{
shadeMode = x;
clearCurves();
}
void
CPPlot::setShadeIntervals(int x)
{
shadeIntervals = x;
clearCurves();
}
// model parameters!
void
CPPlot::setModel(int sanI1, int sanI2, int anI1, int anI2, int aeI1, int aeI2, int laeI1, int laeI2, int model, int variant)
{
this->anI1 = double(anI1);
this->anI2 = double(anI2);
this->aeI1 = double(aeI1);
this->aeI2 = double(aeI2);
this->sanI1 = double(sanI1);
this->sanI2 = double(sanI2);
this->laeI1 = double(laeI1);
this->laeI2 = double(laeI2);
this->model = model;
this->modelVariant = variant;
clearCurves();
}
void
CPPlot::refreshReferenceLines(RideItem *rideItem)
{
// we only do refs for a specific ride
if (rangemode) return;
// wipe existing
foreach(QwtPlotMarker *referenceLine, referenceLines) {
referenceLine->detach();
delete referenceLine;
}
referenceLines.clear();
if (!rideItem && !rideItem->ride()) return;
// horizontal lines at reference points
if (rideSeries == RideFile::aPower || rideSeries == RideFile::xPower || rideSeries == RideFile::NP || rideSeries == RideFile::watts || rideSeries == RideFile::wattsKg) {
if (rideItem->ride()) {
foreach(const RideFilePoint *referencePoint, rideItem->ride()->referencePoints()) {
if (referencePoint->watts != 0) {
QwtPlotMarker *referenceLine = new QwtPlotMarker;
QPen p;
p.setColor(GColor(CPLOTMARKER));
double width = appsettings->value(this, GC_LINEWIDTH, 0.5).toDouble();
p.setWidth(width);
p.setStyle(Qt::DashLine);
referenceLine->setLinePen(p);
referenceLine->setLineStyle(QwtPlotMarker::HLine);
referenceLine->setYValue(referencePoint->watts);
referenceLine->attach(this);
referenceLines.append(referenceLine);
}
}
}
}
}
// plot mean max, centile or none!
void
CPPlot::setPlotType(int index)
{
plotType = index;
clearCurves();
}
// calculate and plot a centile plot
void
CPPlot::plotCentile(RideItem *rideItem)
{
qDebug() << "calculateCentile";
QTime elapsed;
elapsed.start();
qDebug() << "prepare datas ";
cpintdata data;
data.rec_int_ms = (int) round(rideItem->ride()->recIntSecs() * 1000.0);
double lastsecs = 0;
bool first = true;
double offset = 0;
foreach (const RideFilePoint *p, rideItem->ride()->dataPoints()) {
// get offset to apply on all samples if first sample
if (first == true) {
offset = p->secs;
first = false;
}
// drag back to start at 0s
double psecs = p->secs - offset;
// fill in any gaps in recording - use same dodgy rounding as before
int count = (psecs - lastsecs - rideItem->ride()->recIntSecs()) / rideItem->ride()->recIntSecs();
// gap more than an hour, damn that ride file is a mess
if (count > 3600) count = 1;
for(int i=0; i<count; i++) {
data.points.append(cpintpoint(round(lastsecs+((i+1)*rideItem->ride()->recIntSecs() *1000.0)/1000), 0));
}
lastsecs = psecs;
double secs = round(psecs * 1000.0) / 1000;
if (secs > 0) {
if (round(p->value(RideFile::watts))>1400)
qDebug() << "append point " << round(p->value(RideFile::watts)) ;
data.points.append(cpintpoint(secs, (int) round(p->value(RideFile::watts))));
}
}
int total_secs = (int) ceil(rideItem->ride()->dataPoints().back()->secs);
QVector < QVector<double> > ride_centiles(10);
// Initialisation
for (int i = 0; i < ride_centiles.size(); ++i) {
ride_centiles[i] = QVector <double>(total_secs);
}
qDebug() << "end prepare datas " << elapsed.elapsed();
qDebug() << "calcul for first 6min ";
// loop through the decritized data from top
// FIRST 6 MINUTES DO BESTS FOR EVERY SECOND
// WE DO NOT DO THIS FOR NP or xPower SINCE
// IT IS WELL KNOWN THAT THEY ARE NOT VALID
// FOR SUCH SHORT DURATIONS AND IT IS VERY
// CPU INTENSIVE, SO WE DON'T BOTHER
double samplerate = rideItem->ride()->recIntSecs();
for (int slice = 1; slice < 360;) {
int windowsize = slice / samplerate;
QVector<double> sums(data.points.size()-windowsize+1);
int index=0;
double sum=0;
for (int i=0; i<data.points.size(); i++) {
sum += data.points[i].value;
if (i>windowsize-1)
sum -= data.points[i-windowsize].value;
if (i>=windowsize-1) {
sums[index++] = sum/windowsize;
}
}
//qSort(sums.begin(), sums.end());
qSort(sums);
qDebug() << "sums (" << slice << ") : " << sums.size() << " max " << sums[sums.size()-1];
ride_centiles[9][slice] = sums[sums.size()-1];
for (int i = ride_centiles.size()-1; i > 0; --i) {
sum = 0;
int count = 0;
for (int n = (0.1*i)*sums.size(); n < sums.size()-1 && n < (0.1*(i+1))*sums.size(); ++n) {
sum += sums[n];
count++;
}
if (sum > 0) {
if (sum > 0) {
double avg = sum / count;
ride_centiles[i-1][slice]=avg;
}
} else {
ride_centiles[i-1][slice]=ride_centiles[i][slice];
}
}
slice ++;
}
qDebug() << "end calcul for first 6min " << elapsed.elapsed();
qDebug() << "downsampling to 5s after 6min ";
QVector<double> downsampled(0);
// moving to 5s samples would INCREASE the work...
if (rideItem->ride()->recIntSecs() >= 5) {
samplerate = rideItem->ride()->recIntSecs();
for (int i=0; i<data.points.size(); i++)
downsampled.append(data.points[i].value);
} else {
// moving to 5s samples is DECREASING the work...
samplerate = 5;
// we are downsampling to 5s
long five=5; // start at 1st 5s sample
double fivesum=0;
int fivecount=0;
for (int i=0; i<data.points.size(); i++) {
if (data.points[i].secs <= five) {
fivesum += data.points[i].value;
fivecount++;
} else {
downsampled.append(fivesum / fivecount);
fivecount = 1;
fivesum = data.points[i].value;
five += 5;
}
}
}
qDebug() << "end downsampling to 5s after 6min " << elapsed.elapsed();
qDebug() << "calcul for rest of ride ";
for (int slice = 360; slice < ride_centiles[9].size();) {
int windowsize = slice / samplerate;
QVector<double> sums(downsampled.size()-windowsize+2);
int index=0;
double sum=0;
for (int i=0; i<downsampled.size(); i++) {
sum += downsampled[i];
if (i>windowsize-1)
sum -= downsampled[i-windowsize];
if (i>=windowsize-1)
sums[index++] = sum / windowsize;
}
//qSort(sums.begin(), sums.end());
qSort(sums);
qDebug() << "sums (" << slice << ") : " << sums.size() << " max " << sums[sums.size()-1];
ride_centiles[9][slice] = sums[sums.size()-1];
for (int i = ride_centiles.size()-1; i > 0; --i) {
sum = 0;
int count = 0;
for (int n = (0.1*i)*sums.size(); n < sums.size() && n < (0.1*(i+1))*sums.size(); ++n) {
if (sums[n]>0) {
sum += sums[n];
count++;
}
}
if (sum > 0) {
double avg = sum / count;
ride_centiles[i-1][slice]=avg;
} else {
ride_centiles[i-1][slice]=ride_centiles[i][slice];
}
}
// increment interval duration we are going to search
// for next, gaps increase as duration increases to
// reduce overall work, since we require far less
// precision as the ride duration increases
if (slice < 3600) slice +=20; // 20s up to one hour
else if (slice < 7200) slice +=60; // 1m up to two hours
else if (slice < 10800) slice += 300; // 5mins up to three hours
else slice += 600; // 10mins after that
}
qDebug() << "end calcul for rest of ride " << elapsed.elapsed();
qDebug() << "fill gaps ";
/*for (int i = 0; i<ride_centiles.size(); i++) {
double last=0.0;
for (int j=ride_centiles[i].size()-1; j; j--) {
if (ride_centiles[i][j] == 0) ride_centiles[i][j]=last;
else last = ride_centiles[i][j];
}
}*/
for (int i = ride_centiles.size()-1; i>=0; i--) {
double last=0.0;
for (int j=0; j<ride_centiles[i].size(); j++) {
if (ride_centiles[i][j] == 0) ride_centiles[i][j]=last;
else last = ride_centiles[i][j];
}
}
qDebug() << "end fill gaps " << elapsed.elapsed();
qDebug() << "plotting ";
for (int i = 0; i<ride_centiles.size(); i++) {
int maxNonZero = 0;
QVector<double> timeArray(ride_centiles[i].size());
for (int j = 0; j < ride_centiles[i].size(); ++j) {
timeArray[j] = j / 60.0;
if (ride_centiles[i][j] > 0) maxNonZero = j;
}
if (maxNonZero > 1) {
QwtPlotCurve *rideCurve = new QwtPlotCurve(tr("%10 %").arg(i+1));
rideCurve->setRenderHint(QwtPlotItem::RenderAntialiased);
// red hue to cp curve color
QColor std = GColor(CRIDECP);
QPen pen(QColor(250-(i*20),std.green(),std.blue()));
pen.setStyle(Qt::DashLine); // Qt::SolidLine
double width = appsettings->value(this, GC_LINEWIDTH, 0.5).toDouble();
pen.setWidth(width);
rideCurve->setPen(pen);
rideCurve->attach(this);
rideCurve->setSamples(timeArray.data() + 1, ride_centiles[i].constData() + 1, maxNonZero - 1);
centileCurves.append(rideCurve);
}
}
qDebug() << "end plotting " << elapsed.elapsed();
zoomer->setZoomBase(false);
}
void
CPPlot::calculateForDateRanges(QList<CompareDateRange> compareDateRanges)
{
if (!rangemode) return;
// zap old curves
clearCurves();
foreach(QwtPlotCurve *c, intervalCurves) {
c->detach();
delete c;
}
intervalCurves.clear();
// don't need to zap old models as they
// are deleted with the curve !
// If no range
if (compareDateRanges.count() == 0) {
replot(); // show cleared plot
return;
}
double ymax = 0;
double ymin = 0;
// when delta mode is invoked we compare to a baseline curve
QVector<double> baseline;
PDModel *baselineModel = NULL;
if (showDelta && compareDateRanges.count()) {
// set the baseline data
baseline = compareDateRanges[0].rideFileCache()->meanMaxArray(rideSeries);
if (model && (rideSeries == RideFile::watts || rideSeries == RideFile::wattsKg || rideSeries == RideFile::kph)) {
// get a model
switch (model) {
case 1 : // 2 param
baselineModel = new CP2Model(context);
break;
case 2 : // 3 param
baselineModel = new CP3Model(context);
break;
case 3 : // extended model
baselineModel = new ExtendedModel(context);
break;
case 4 : // multimodel
baselineModel = new MultiModel(context);
baselineModel->setVariant(modelVariant);
break;
case 5 : // ward smith
baselineModel = new WSModel(context);
baselineModel->setVariant(modelVariant);
break;
}
// feed the data into the model
if (baselineModel) {
// set the model and load data
baselineModel->setIntervals(sanI1, sanI2, anI1, anI2, aeI1, aeI2, laeI1, laeI2);
baselineModel->setMinutes(true); // we're minutes here ...
baselineModel->setData(baseline);
}
}
}
double xmin = 1.0f/60.0f - 0.001f;
double xmax = 0;
// prepare aggregates
for (int j = 0; j < compareDateRanges.size(); ++j) {
if (compareDateRanges[j].isChecked()) {
RideFileCache *cache = compareDateRanges[j].rideFileCache();
// create a delta array
if (showDelta && cache) {
int n=0;
QVector<double> deltaArray = cache->meanMaxArray(rideSeries);
// make a delta to baseline
for (n=1; n < deltaArray.size() && n < baseline.size(); n++) {
// stop when we get to zero!
if (deltaArray[n] > 0 && baseline[n] > 0) {
if (showDeltaPercent) deltaArray[n] = 100.00f * (double(deltaArray[n]) - double(baseline[n])) / double(baseline[n]); // delta percentage
else deltaArray[n] = deltaArray[n] - baseline[n];
} else
break;
}
deltaArray.resize(n-1);
// now plot using the delta series and NOT the cache
if (showBest) plotCache(deltaArray, compareDateRanges[j].color);
// and plot a model too -- its neat to compare them...
if (rideSeries == RideFile::watts || rideSeries == RideFile::wattsKg || rideSeries == RideFile::kph) {
plotModel(cache->meanMaxArray(rideSeries), compareDateRanges[j].color, baselineModel);
}
foreach(double v, deltaArray) {
if (v > ymax) ymax = v;
if (v < ymin) ymin = v;
}
// keep track of longest point
int imax = cache->meanMaxArray(rideSeries).count()/60.00f;
if (cache && imax > xmax) xmax = imax;
}
if (!showDelta && cache->meanMaxArray(rideSeries).size()) {
// plot the bests if we want them
if (showBest) plotCache(cache->meanMaxArray(rideSeries), compareDateRanges[j].color);
// and plot a model too -- its neat to compare them...
if (rideSeries == RideFile::watts || rideSeries == RideFile::wattsKg || rideSeries == RideFile::kph)
plotModel(cache->meanMaxArray(rideSeries), compareDateRanges[j].color, NULL);
int xCount = 0;
double vamYMax = 0;
foreach(double v, cache->meanMaxArray(rideSeries)) {
// get the biggest y-Axes value
if (v > ymax) ymax = v;
// VAM x-Axis starts at 4.993 seconds = x-time array point 296 -
// so skip the values upto that point in x-Axis time
if (rideSeries == RideFile::vam) {
// VAM x-Axis starts at 4.993 seconds = x-time array point 296 -
// so skip the values upto that point in x-Axis time
if (xCount >= 296) {
if (v > vamYMax) vamYMax = v;
}
}
xCount++;
}
// overwrite ymax for VAM - if a proper value was found
if (rideSeries == RideFile::vam && vamYMax > 0) ymax = vamYMax;
}
if (!showDelta && showEffort) {
// show the efforts for each date range
QwtSymbol *sym = new QwtSymbol;
sym->setStyle(QwtSymbol::Ellipse);
sym->setSize(4);
QColor col= compareDateRanges[j].color;
col.setAlpha(128);
sym->setBrush(col);
sym->setPen(QPen(Qt::NoPen));
// create a curve
QwtPlotCurve *effortCurve = new QwtPlotCurve();
effortCurve->setSymbol(sym);
effortCurve->setStyle(QwtPlotCurve::Dots);
effortCurve->setRenderHint(QwtPlotItem::RenderAntialiased);
intervalCurves << effortCurve;
// size for all rides, can increase if needed
QVector<double> xvals;
QVector<double> yvals;
int count=0;
foreach(RideItem *r, compareDateRanges[j].context->athlete->rideCache->rides()) {
// does it match ?
if (!compareDateRanges[j].specification.pass(r)) continue;
// add the intervals
foreach(IntervalItem *i, r->intervals(RideFileInterval::EFFORT)) {
// is it a silly value?
if (i->getForSymbol("average_power") > 3000) continue;
xvals << i->getForSymbol("workout_time") / 60.0f;
yvals << i->getForSymbol("average_power");
count++;
}
}
if (count) {
// set the data and attach to the plot
effortCurve->setSamples(xvals.constData(), yvals.constData(), count);
effortCurve->attach(this);
}
}
}
}
// X-AXIS
// if max xvalue not set then default to 6 hours
if (xmax == 0) xmax = 6 * 60;
// truncate at an hour for energy mode
if (criticalSeries == CriticalPowerWindow::work) xmax = 60.0;
// not interested in short durations for vam
if (criticalSeries == CriticalPowerWindow::vam) xmin = 4.993;
// now set the scale
QwtScaleDiv div((double)xmin, (double)xmax);
if (criticalSeries == CriticalPowerWindow::work)
div.setTicks(QwtScaleDiv::MajorTick, LogTimeScaleDraw::ticksEnergy);
else if (criticalSeries == CriticalPowerWindow::veloclinicplot)
div.setTicks(QwtScaleDiv::MajorTick, LogTimeScaleDraw::ticksVeloclinic);
else
div.setTicks(QwtScaleDiv::MajorTick, LogTimeScaleDraw::ticks);
setAxisScaleDiv(QwtPlot::xBottom, div);
// Y-AXIS
if (!showDelta && rideSeries == RideFile::watts) {
// set ymax to nearest 100 if power
int max = ymax * 1.1f;
max = ((max/100) + 1) * 100;
setAxisScale(yLeft, 0, max);
} else {
// or just add 10% headroom
setAxisScale(yLeft, ymin *1.1, 1.1*ymax);
}
// phew
replot();
}
void
CPPlot::calculateForIntervals(QList<CompareInterval> compareIntervals)
{
if (rangemode) return;
// Zap what we got
clearCurves();
foreach(QwtPlotCurve *c, intervalCurves) {
c->detach();
delete c;
}
intervalCurves.clear();
// If no intervals
if (compareIntervals.count() == 0) {
replot(); // show cleared plot
return;
}
// set baseline if we're plotting deltas
QVector<double> baseline;
if (showDelta && compareIntervals.count()) {
// set the baseline data
baseline = compareIntervals[0].rideFileCache()->meanMaxArray(rideSeries);
}
double ymax = 0;
double ymin = 0;
double xmax = 0;
double xmin = 1.0f/60.0f - 0.001f;
// prepare aggregates
for (int i = 0; i < compareIntervals.size(); ++i) {
CompareInterval &interval = compareIntervals[i];
if (interval.isChecked()) {
// no data ?
if (interval.rideFileCache()->meanMaxArray(rideSeries).count() == 0) return;
// create a delta array
if (showDelta) {
int n=0;
QVector<double> deltaArray = interval.rideFileCache()->meanMaxArray(rideSeries);
// make a delta to baseline
for (n=1; n < deltaArray.size() && n < baseline.size(); n++) {
// stop when we get to zero!
if (deltaArray[n] > 0 && baseline[n] > 0)
if (showDeltaPercent) deltaArray[n] = 100.00f * (double(deltaArray[n]) - double(baseline[n])) / double(baseline[n]); // delta percentage
else deltaArray[n] = deltaArray[n] - baseline[n];
else
break;
}
deltaArray.resize(n-1);
// now plot using the delta series and NOT the cache
plotCache(deltaArray, interval.color);
// set x-axis max
if ((n/60.00f) > xmax) xmax = n/60.00f;
foreach(double v, deltaArray) {
if (v > ymax) ymax = v;
if (v < ymin) ymin = v;
}
} else {
// create curve data arrays
plotCache(interval.rideFileCache()->meanMaxArray(rideSeries), interval.color);
// whats ymax ?
int xCount = 0;
double vamYMax = 0;
foreach(double v, interval.rideFileCache()->meanMaxArray(rideSeries)) {
// get the biggest y-Axes value
if (v > ymax) ymax = v;
// VAM x-Axis starts at 4.993 seconds = x-time array point 296 -
// so skip the values upto that point in x-Axis time
if (rideSeries == RideFile::vam) {
// VAM x-Axis starts at 4.993 seconds = x-time array point 296 -
// so skip the values upto that point in x-Axis time
if (xCount >= 296) {
if (v > vamYMax) vamYMax = v;
}
}
xCount++;
}
// overwrite ymax for VAM - if a proper value was found
if (rideSeries == RideFile::vam && vamYMax > 0) ymax = vamYMax;
double mins = interval.rideFileCache()->meanMaxArray(rideSeries).count() / 60.00f;
if (mins > xmax) xmax = mins;
}
}
}
// X-AXIS
// if max xvalue not set then default to 6 hours
if (xmax == 0) xmax = 6 * 60;
// truncate at an hour for energy mode
if (criticalSeries == CriticalPowerWindow::work) xmax = 60.0;
// not interested in short durations for vam
if (criticalSeries == CriticalPowerWindow::vam) xmin = 4.993;
// now set the scale
QwtScaleDiv div((double)xmin, (double)xmax);
if (criticalSeries == CriticalPowerWindow::work)
div.setTicks(QwtScaleDiv::MajorTick, LogTimeScaleDraw::ticksEnergy);
else if (criticalSeries == CriticalPowerWindow::veloclinicplot)
div.setTicks(QwtScaleDiv::MajorTick, LogTimeScaleDraw::ticksVeloclinic);
else
div.setTicks(QwtScaleDiv::MajorTick, LogTimeScaleDraw::ticks);
setAxisScaleDiv(QwtPlot::xBottom, div);
// Y-AXIS
if (!showDelta && rideSeries == RideFile::watts) {
// set ymax to nearest 100 if power
int max = ymax * 1.1f;
max = ((max/100) + 1) * 100;
setAxisScale(yLeft, ymin, max);
} else {
// or just add 10% headroom
setAxisScale(yLeft, ymin *1.1, 1.1*ymax);
}
replot();
}
void
CPPlot::plotCache(QVector<double> vector, QColor intervalColor)
{
// we don't shade if we're plotting in compare mode
bool wantShadeIntervals = false;
if ((rangemode && !context->isCompareDateRanges) || (!rangemode && !context->isCompareIntervals))
wantShadeIntervals = shadeIntervals;
int maxNonZero=0;
QVector<double>x;
QVector<double>y;
for (int i=1; i<vector.count(); i++) {
x << double(i)/60.00f;
y << vector[i];
if (vector[i] < 0 || vector[i] > 0) maxNonZero = i;
}
if (maxNonZero == 0) maxNonZero = y.size();
// create a curve!
QwtPlotCurve *curve = new QwtPlotCurve();
if (appsettings->value(this, GC_ANTIALIAS, true).toBool() == true)
curve->setRenderHint(QwtPlotItem::RenderAntialiased);
// set its color - based upon index in intervals!
QPen pen(intervalColor);
double width = appsettings->value(this, GC_LINEWIDTH, 0.5).toDouble();
pen.setWidth(width);
//pen.setStyle(Qt::DotLine);
intervalColor.setAlpha(64);
QBrush brush = QBrush(intervalColor);
if (wantShadeIntervals) curve->setBrush(brush);
else curve->setBrush(Qt::NoBrush);
curve->setPen(pen);
curve->setSamples(x.data(), y.data(), maxNonZero-1);
// attach and register
curve->attach(this);
intervalCurves.append(curve);
zoomer->setZoomBase(false);
}
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