/* -*- Mode: C++; tab-width: 4; indent-tabs-mode: nil; c-basic-offset: 4 -*- */
/*
* This file is part of the LibreOffice project.
*
* This Source Code Form is subject to the terms of the Mozilla Public
* License, v. 2.0. If a copy of the MPL was not distributed with this
* file, You can obtain one at http://mozilla.org/MPL/2.0/.
*
* This file incorporates work covered by the following license notice:
*
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed
* with this work for additional information regarding copyright
* ownership. The ASF licenses this file to you under the Apache
* License, Version 2.0 (the "License"); you may not use this file
* except in compliance with the License. You may obtain a copy of
* the License at http://www.apache.org/licenses/LICENSE-2.0 .
*/
#include <sal/config.h>
#include <cstddef>
#include <RegressionCurveHelper.hxx>
#include <MeanValueRegressionCurveCalculator.hxx>
#include <LinearRegressionCurveCalculator.hxx>
#include <PolynomialRegressionCurveCalculator.hxx>
#include <MovingAverageRegressionCurveCalculator.hxx>
#include <LogarithmicRegressionCurveCalculator.hxx>
#include <ExponentialRegressionCurveCalculator.hxx>
#include <PotentialRegressionCurveCalculator.hxx>
#include <CommonConverters.hxx>
#include <RegressionCurveModel.hxx>
#include <ChartTypeHelper.hxx>
#include <ChartType.hxx>
#include <ChartModel.hxx>
#include <DataSeries.hxx>
#include <ResId.hxx>
#include <strings.hrc>
#include <com/sun/star/chart2/AxisType.hpp>
#include <com/sun/star/chart2/XRegressionCurveCalculator.hpp>
#include <com/sun/star/chart2/XRegressionCurveContainer.hpp>
#include <com/sun/star/chart2/data/XDataSource.hpp>
#include <o3tl/safeint.hxx>
#include <comphelper/diagnose_ex.hxx>
#include <comphelper/property.hxx>
using namespace ::com::sun::star;
using namespace ::com::sun::star::chart2;
using ::com::sun::star::uno::Reference;
using ::com::sun::star::uno::Sequence;
using ::com::sun::star::lang::XServiceName;
using ::com::sun::star::beans::XPropertySet;
using ::com::sun::star::uno::Exception;
namespace
{
OUString lcl_getServiceNameForType(SvxChartRegress eType)
{
OUString aServiceName;
switch( eType )
{
case SvxChartRegress::Linear:
aServiceName =
"com.sun.star.chart2.LinearRegressionCurve";
break;
case SvxChartRegress::Log:
aServiceName =
"com.sun.star.chart2.LogarithmicRegressionCurve";
break;
case SvxChartRegress::Exp:
aServiceName =
"com.sun.star.chart2.ExponentialRegressionCurve";
break;
case SvxChartRegress::Power:
aServiceName =
"com.sun.star.chart2.PotentialRegressionCurve";
break;
case SvxChartRegress::Polynomial:
aServiceName =
"com.sun.star.chart2.PolynomialRegressionCurve";
break;
case SvxChartRegress::MovingAverage:
aServiceName =
"com.sun.star.chart2.MovingAverageRegressionCurve";
break;
default:
OSL_FAIL(
"unknown regression curve type - use linear instead");
aServiceName =
"com.sun.star.chart2.LinearRegressionCurve";
break;
}
return aServiceName;
}
}
// anonymous namespace
namespace chart
{
rtl::Reference< RegressionCurveModel > RegressionCurveHelper::createMeanValueLine()
{
return new MeanValueRegressionCurve;
}
rtl::Reference< RegressionCurveModel > RegressionCurveHelper::createRegressionCurveBy
ServiceName(
std::u16string_view aServiceName )
{
rtl::Reference< RegressionCurveModel > xResult;
// todo: use factory methods with service name
if( aServiceName == u"com.sun.star.chart2.LinearRegressionCurve" )
{
xResult.set( new LinearRegressionCurve );
}
else if( aServiceName == u"com.sun.star.chart2.LogarithmicRegressionCurve" )
{
xResult.set( new LogarithmicRegressionCurve );
}
else if( aServiceName == u"com.sun.star.chart2.ExponentialRegressionCurve" )
{
xResult.set( new ExponentialRegressionCurve );
}
else if( aServiceName == u"com.sun.star.chart2.PotentialRegressionCurve" )
{
xResult.set( new PotentialRegressionCurve );
}
else if( aServiceName == u"com.sun.star.chart2.PolynomialRegressionCurve" )
{
xResult.set( new PolynomialRegressionCurve );
}
else if( aServiceName == u"com.sun.star.chart2.MovingAverageRegressionCurve" )
{
xResult.set( new MovingAverageRegressionCurve );
}
return xResult;
}
rtl::Reference< RegressionCurveCalculator > RegressionCurveHelper::createRegressionCurveCalculatorByServiceName(
std::u16string_view aServiceName )
{
rtl::Reference< RegressionCurveCalculator > xResult;
// todo: use factory methods with service name
if( aServiceName == u"com.sun.star.chart2.MeanValueRegressionCurve" )
{
xResult.set( new MeanValueRegressionCurveCalculator() );
}
if( aServiceName == u"com.sun.star.chart2.LinearRegressionCurve" )
{
xResult.set( new LinearRegressionCurveCalculator() );
}
else if( aServiceName == u"com.sun.star.chart2.LogarithmicRegressionCurve" )
{
xResult.set( new LogarithmicRegressionCurveCalculator() );
}
else if( aServiceName == u"com.sun.star.chart2.ExponentialRegressionCurve" )
{
xResult.set( new ExponentialRegressionCurveCalculator() );
}
else if( aServiceName == u"com.sun.star.chart2.PotentialRegressionCurve" )
{
xResult.set( new PotentialRegressionCurveCalculator() );
}
else if( aServiceName == u"com.sun.star.chart2.PolynomialRegressionCurve" )
{
xResult.set( new PolynomialRegressionCurveCalculator() );
}
else if( aServiceName == u"com.sun.star.chart2.MovingAverageRegressionCurve" )
{
xResult.set( new MovingAverageRegressionCurveCalculator() );
}
return xResult;
}
void RegressionCurveHelper::initializeCurveCalculator(
const rtl::Reference< RegressionCurveCalculator > & xOutCurveCalculator,
const rtl::Reference< ::chart::DataSeries > & xSeries,
const rtl::Reference<::chart::ChartModel> & xModel )
{
sal_Int32 nAxisType = AxisType::CATEGORY;
auto xChartType = xModel->getChartTypeOfSeries(xSeries);
if (xChartType.is())
nAxisType = xChartType->getAxisType(0); // x-axis
bool bUseXValuesIfAvailable = (nAxisType == AxisType::REALNUMBER);
if( ! (xOutCurveCalculator.is() &&
xSeries.is() ))
return;
Sequence< double > aXValues, aYValues;
bool bXValuesFound = false, bYValuesFound = false;
Sequence< Reference< data::XLabeledDataSequence > > aDataSeqs( xSeries->getDataSequences());
sal_Int32 i = 0;
for( i=0;
! (bXValuesFound && bYValuesFound) && i<aDataSeqs.getLength();
++i )
{
try
{
Reference< data::XDataSequence > xSeq( aDataSeqs[i]->getValues());
Reference< XPropertySet > xProp( xSeq, uno::UNO_QUERY_THROW );
OUString aRole;
if( xProp->getPropertyValue( u"Role"_ustr ) >>= aRole )
{
if( bUseXValuesIfAvailable && !bXValuesFound && aRole == "values-x" )
{
aXValues = DataSequenceToDoubleSequence( xSeq );
bXValuesFound = true;
}
else if( !bYValuesFound && aRole == "values-y" )
{
aYValues = DataSequenceToDoubleSequence( xSeq );
bYValuesFound = true;
}
}
}
catch( const Exception & )
{
DBG_UNHANDLED_EXCEPTION("chart2");
}
}
if( ! bXValuesFound &&
bYValuesFound )
{
// initialize with 1, 2, ...
//first category (index 0) matches with real number 1.0
aXValues.realloc( aYValues.getLength());
auto pXValues = aXValues.getArray();
for( i=0; i<aXValues.getLength(); ++i )
pXValues[i] = i+1;
bXValuesFound = true;
}
if( bXValuesFound && bYValuesFound &&
aXValues.hasElements() &&
aYValues.hasElements() )
xOutCurveCalculator->recalculateRegression( aXValues, aYValues );
}
bool RegressionCurveHelper::hasMeanValueLine(
const uno::Reference< XRegressionCurveContainer > & xRegCnt )
{
if( !xRegCnt.is())
return false;
try
{
const uno::Sequence< uno::Reference< XRegressionCurve > > aCurves(
xRegCnt->getRegressionCurves());
for( uno::Reference< XRegressionCurve > const & curve : aCurves )
{
if( isMeanValueLine( curve ))
return true;
}
}
catch( const Exception & )
{
DBG_UNHANDLED_EXCEPTION("chart2");
}
return false;
}
bool RegressionCurveHelper::hasMeanValueLine(
const rtl::Reference< DataSeries > & xRegCnt )
{
if( !xRegCnt.is())
return false;
try
{
for( rtl::Reference< RegressionCurveModel > const & curve : xRegCnt->getRegressionCurves2() )
{
if( isMeanValueLine( curve ))
return true;
}
}
catch( const Exception & )
{
DBG_UNHANDLED_EXCEPTION("chart2");
}
return false;
}
bool RegressionCurveHelper::isMeanValueLine(
const uno::Reference< chart2::XRegressionCurve > & xRegCurve )
{
uno::Reference< XServiceName > xServName( xRegCurve, uno::UNO_QUERY );
return xServName.is() &&
xServName->getServiceName() ==
"com.sun.star.chart2.MeanValueRegressionCurve";
}
bool RegressionCurveHelper::isMeanValueLine(
const rtl::Reference< RegressionCurveModel > & xRegCurve )
{
return xRegCurve.is() &&
xRegCurve->getServiceName() ==
"com.sun.star.chart2.MeanValueRegressionCurve";
}
rtl::Reference< RegressionCurveModel >
RegressionCurveHelper::getMeanValueLine(
const uno::Reference< chart2::XRegressionCurveContainer > & xRegCnt )
{
if( xRegCnt.is())
{
try
{
const uno::Sequence< uno::Reference< XRegressionCurve > > aCurves(
xRegCnt->getRegressionCurves());
for( uno::Reference< XRegressionCurve > const & curve : aCurves )
{
if( isMeanValueLine( curve ))
return dynamic_cast<RegressionCurveModel*>(curve.get());
}
}
catch( const Exception & )
{
DBG_UNHANDLED_EXCEPTION("chart2");
}
}
return nullptr;
}
rtl::Reference< RegressionCurveModel >
RegressionCurveHelper::getMeanValueLine(
const rtl::Reference< DataSeries > & xRegCnt )
{
if( xRegCnt.is())
{
try
{
for( rtl::Reference< RegressionCurveModel > const & curve : xRegCnt->getRegressionCurves2() )
{
if( isMeanValueLine( curve ))
return curve;
}
}
catch( const Exception & )
{
DBG_UNHANDLED_EXCEPTION("chart2");
}
}
return nullptr;
}
void RegressionCurveHelper::addMeanValueLine(
uno::Reference< XRegressionCurveContainer > const & xRegCnt,
const uno::Reference< XPropertySet > & xSeriesProp )
{
if( !xRegCnt.is() ||
::chart::RegressionCurveHelper::hasMeanValueLine( xRegCnt ) )
return;
// todo: use a valid context
rtl::Reference< RegressionCurveModel > xCurve( createMeanValueLine() );
xRegCnt->addRegressionCurve( xCurve );
if( xSeriesProp.is())
{
if( xCurve.is())
{
xCurve->setPropertyValue( u"LineColor"_ustr,
xSeriesProp->getPropertyValue( u"Color"_ustr));
}
}
}
void RegressionCurveHelper::addMeanValueLine(
rtl::Reference< DataSeries > const & xRegCnt,
const uno::Reference< XPropertySet > & xSeriesProp )
{
if( !xRegCnt.is() ||
::chart::RegressionCurveHelper::hasMeanValueLine( xRegCnt ) )
return;
// todo: use a valid context
rtl::Reference< RegressionCurveModel > xCurve( createMeanValueLine() );
xRegCnt->addRegressionCurve( xCurve );
if( xSeriesProp.is())
{
xCurve->setPropertyValue( u"LineColor"_ustr,
xSeriesProp->getPropertyValue( u"Color"_ustr));
}
}
void RegressionCurveHelper::removeMeanValueLine(
Reference< XRegressionCurveContainer > const & xRegCnt )
{
if( !xRegCnt.is())
return;
try
{
const Sequence< Reference< XRegressionCurve > > aCurves(
xRegCnt->getRegressionCurves());
for( Reference< XRegressionCurve > const & curve : aCurves )
{
if( isMeanValueLine( curve ))
{
xRegCnt->removeRegressionCurve( curve );
// attention: the iterator i has become invalid now
// note: assume that there is only one mean-value curve
// to remove multiple mean-value curves remove the break
break;
}
}
}
catch( const Exception & )
{
DBG_UNHANDLED_EXCEPTION("chart2");
}
}
void RegressionCurveHelper::removeMeanValueLine(
rtl::Reference< DataSeries > const & xRegCnt )
{
if( !xRegCnt.is())
return;
try
{
for( rtl::Reference< RegressionCurveModel > const & curve : xRegCnt->getRegressionCurves2() )
{
if( isMeanValueLine( curve ))
{
xRegCnt->removeRegressionCurve( curve );
// attention: the iterator i has become invalid now
// note: assume that there is only one mean-value curve
// to remove multiple mean-value curves remove the break
break;
}
}
}
catch( const Exception & )
{
DBG_UNHANDLED_EXCEPTION("chart2");
}
}
rtl::Reference< RegressionCurveModel > RegressionCurveHelper::addRegressionCurve(
SvxChartRegress eType,
uno::Reference< XRegressionCurveContainer > const & xRegressionCurveContainer,
const uno::Reference< beans::XPropertySet >& xPropertySource,
const uno::Reference< beans::XPropertySet >& xEquationProperties )
{
rtl::Reference< RegressionCurveModel > xCurve;
if( !xRegressionCurveContainer.is() )
return xCurve;
if( eType == SvxChartRegress::NONE )
{
OSL_FAIL("don't create a regression curve of type none");
return xCurve;
}
OUString aServiceName( lcl_getServiceNameForType( eType ));
if( !aServiceName.isEmpty())
{
// todo: use a valid context
xCurve = createRegressionCurveByServiceName( aServiceName );
if( xEquationProperties.is())
xCurve->setEquationProperties( xEquationProperties );
if( xPropertySource.is())
comphelper::copyProperties( xPropertySource, xCurve );
else
{
uno::Reference< XPropertySet > xSeriesProp( xRegressionCurveContainer, uno::UNO_QUERY );
if( xSeriesProp.is())
{
xCurve->setPropertyValue( u"LineColor"_ustr,
xSeriesProp->getPropertyValue( u"Color"_ustr));
}
}
}
xRegressionCurveContainer->addRegressionCurve( xCurve );
return xCurve;
}
rtl::Reference< RegressionCurveModel > RegressionCurveHelper::addRegressionCurve(
SvxChartRegress eType,
rtl::Reference< DataSeries > const & xRegressionCurveContainer,
const uno::Reference< beans::XPropertySet >& xPropertySource,
const uno::Reference< beans::XPropertySet >& xEquationProperties )
{
rtl::Reference< RegressionCurveModel > xCurve;
if( !xRegressionCurveContainer.is() )
return xCurve;
if( eType == SvxChartRegress::NONE )
{
OSL_FAIL("don't create a regression curve of type none");
return xCurve;
}
OUString aServiceName( lcl_getServiceNameForType( eType ));
if( !aServiceName.isEmpty())
{
// todo: use a valid context
xCurve = createRegressionCurveByServiceName( aServiceName );
if( xEquationProperties.is())
xCurve->setEquationProperties( xEquationProperties );
if( xPropertySource.is())
comphelper::copyProperties( xPropertySource, xCurve );
else
{
xCurve->setPropertyValue( u"LineColor"_ustr,
xRegressionCurveContainer->getPropertyValue( u"Color"_ustr));
}
}
xRegressionCurveContainer->addRegressionCurve( xCurve );
return xCurve;
}
/** removes all regression curves that are not of type mean value
and returns true, if anything was removed
*/
bool RegressionCurveHelper::removeAllExceptMeanValueLine(
rtl::Reference< DataSeries > const & xRegCnt )
{
if( !xRegCnt.is())
return false;
bool bRemovedSomething = false;
try
{
std::vector< rtl::Reference< RegressionCurveModel > > aCurvesToDelete;
for( rtl::Reference< RegressionCurveModel > const & curve : xRegCnt->getRegressionCurves2() )
{
if( ! isMeanValueLine( curve ))
{
aCurvesToDelete.push_back( curve );
}
}
for (auto const& curveToDelete : aCurvesToDelete)
{
xRegCnt->removeRegressionCurve(curveToDelete);
bRemovedSomething = true;
}
}
catch( const uno::Exception & )
{
DBG_UNHANDLED_EXCEPTION("chart2");
}
return bRemovedSomething;
}
void RegressionCurveHelper::removeEquations(
rtl::Reference< DataSeries > const & xRegCnt )
{
if( !xRegCnt.is())
return;
try
{
for( rtl::Reference< RegressionCurveModel > const & curve : xRegCnt->getRegressionCurves2() )
{
if( !isMeanValueLine( curve ) )
{
uno::Reference< beans::XPropertySet > xEqProp( curve->getEquationProperties() ) ;
if( xEqProp.is())
{
xEqProp->setPropertyValue( u"ShowEquation"_ustr, uno::Any( false ));
xEqProp->setPropertyValue( u"XName"_ustr, uno::Any( u"x"_ustr ));
xEqProp->setPropertyValue( u"YName"_ustr, uno::Any( u"f(x) "_ustr ));
xEqProp->setPropertyValue( u"ShowCorrelationCoefficient"_ustr, uno::Any( false ));
}
}
}
}
catch( const uno::Exception & )
{
DBG_UNHANDLED_EXCEPTION("chart2");
}
}
rtl::Reference< RegressionCurveModel > RegressionCurveHelper::changeRegressionCurveType(
SvxChartRegress eType,
uno::Reference< XRegressionCurveContainer > const & xRegressionCurveContainer,
uno::Reference< XRegressionCurve > const & xRegressionCurve )
{
xRegressionCurveContainer->removeRegressionCurve( xRegressionCurve );
return RegressionCurveHelper::addRegressionCurve(
eType,
xRegressionCurveContainer,
uno::Reference< beans::XPropertySet >( xRegressionCurve, uno::UNO_QUERY ),
xRegressionCurve->getEquationProperties());
}
rtl::Reference< RegressionCurveModel > RegressionCurveHelper::getFirstCurveNotMeanValueLine(
const Reference< XRegressionCurveContainer > & xRegCnt )
{
if( !xRegCnt.is())
return nullptr;
try
{
const uno::Sequence< uno::Reference< chart2::XRegressionCurve > > aCurves(
xRegCnt->getRegressionCurves());
for( uno::Reference< chart2::XRegressionCurve > const & curve : aCurves )
{
if( ! isMeanValueLine( curve ))
{
return dynamic_cast<RegressionCurveModel*>(curve.get());
}
}
}
catch( const Exception & )
{
DBG_UNHANDLED_EXCEPTION("chart2");
}
return nullptr;
}
rtl::Reference< RegressionCurveModel > RegressionCurveHelper::getFirstCurveNotMeanValueLine(
const rtl::Reference< DataSeries > & xRegCnt )
{
if( !xRegCnt.is())
return nullptr;
try
{
for( rtl::Reference< RegressionCurveModel > const & curve : xRegCnt->getRegressionCurves2() )
{
if( ! isMeanValueLine( curve ))
{
return curve;
}
}
}
catch( const Exception & )
{
DBG_UNHANDLED_EXCEPTION("chart2");
}
return nullptr;
}
rtl::Reference< RegressionCurveModel > RegressionCurveHelper::getRegressionCurveAtIndex(
const rtl::Reference< DataSeries >& xCurveContainer,
sal_Int32 aIndex )
{
if( !xCurveContainer.is())
return nullptr;
try
{
const std::vector< rtl::Reference< RegressionCurveModel > > aCurves(xCurveContainer->getRegressionCurves2());
if(0 <= aIndex && o3tl::make_unsigned(aIndex) < aCurves.size())
{
if(!isMeanValueLine(aCurves[aIndex]))
return aCurves[aIndex];
}
}
catch( const Exception & )
{
DBG_UNHANDLED_EXCEPTION("chart2");
}
return nullptr;
}
SvxChartRegress RegressionCurveHelper::getRegressionType(
const Reference< XRegressionCurve > & xCurve )
{
SvxChartRegress eResult = SvxChartRegress::Unknown;
try
{
Reference< lang::XServiceName > xServName( xCurve, uno::UNO_QUERY );
if( xServName.is())
{
OUString aServiceName( xServName->getServiceName() );
if( aServiceName == "com.sun.star.chart2.LinearRegressionCurve" )
{
eResult = SvxChartRegress::Linear;
}
else if( aServiceName == "com.sun.star.chart2.LogarithmicRegressionCurve" )
{
eResult = SvxChartRegress::Log;
}
else if( aServiceName == "com.sun.star.chart2.ExponentialRegressionCurve" )
{
eResult = SvxChartRegress::Exp;
}
else if( aServiceName == "com.sun.star.chart2.PotentialRegressionCurve" )
{
eResult = SvxChartRegress::Power;
}
else if( aServiceName == "com.sun.star.chart2.MeanValueRegressionCurve" )
{
eResult = SvxChartRegress::MeanValue;
}
else if( aServiceName == "com.sun.star.chart2.PolynomialRegressionCurve" )
{
eResult = SvxChartRegress::Polynomial;
}
else if( aServiceName == "com.sun.star.chart2.MovingAverageRegressionCurve" )
{
eResult = SvxChartRegress::MovingAverage;
}
}
}
catch( const Exception & )
{
DBG_UNHANDLED_EXCEPTION("chart2" );
}
return eResult;
}
SvxChartRegress RegressionCurveHelper::getFirstRegressTypeNotMeanValueLine(
const Reference< XRegressionCurveContainer > & xRegCnt )
{
SvxChartRegress eResult = SvxChartRegress::NONE;
if( xRegCnt.is())
{
const Sequence< Reference< XRegressionCurve > > aCurves(
xRegCnt->getRegressionCurves());
for( Reference< XRegressionCurve > const & curve : aCurves )
{
SvxChartRegress eType = getRegressionType( curve );
if( eType != SvxChartRegress::MeanValue &&
eType != SvxChartRegress::Unknown )
{
eResult = eType;
break;
}
}
}
return eResult;
}
OUString RegressionCurveHelper::getUINameForRegressionCurve( const rtl::Reference< RegressionCurveModel >& xRegressionCurve )
{
OUString aResult = getRegressionCurveSpecificName(xRegressionCurve);
if (aResult.isEmpty())
{
aResult = getRegressionCurveGenericName(xRegressionCurve);
if (!aResult.isEmpty())
{
aResult += " (%SERIESNAME)";
}
}
return aResult;
}
OUString RegressionCurveHelper::getRegressionCurveGenericName(const rtl::Reference< RegressionCurveModel >& xRegressionCurve)
{
OUString aResult;
if(!xRegressionCurve.is())
return aResult;
OUString aServiceName(xRegressionCurve->getServiceName());
if( aServiceName == "com.sun.star.chart2.MeanValueRegressionCurve" )
{
aResult = SchResId(STR_REGRESSION_MEAN);
}
else if( aServiceName == "com.sun.star.chart2.LinearRegressionCurve" )
{
aResult = SchResId(STR_REGRESSION_LINEAR);
}
else if( aServiceName == "com.sun.star.chart2.LogarithmicRegressionCurve" )
{
aResult = SchResId(STR_REGRESSION_LOG);
}
else if( aServiceName == "com.sun.star.chart2.ExponentialRegressionCurve" )
{
aResult = SchResId(STR_REGRESSION_EXP);
}
else if( aServiceName == "com.sun.star.chart2.PotentialRegressionCurve" )
{
aResult = SchResId(STR_REGRESSION_POWER);
}
else if( aServiceName == "com.sun.star.chart2.PolynomialRegressionCurve" )
{
aResult = SchResId(STR_REGRESSION_POLYNOMIAL);
}
else if( aServiceName == "com.sun.star.chart2.MovingAverageRegressionCurve" )
{
aResult = SchResId(STR_REGRESSION_MOVING_AVERAGE);
}
return aResult;
}
OUString RegressionCurveHelper::getRegressionCurveSpecificName(const rtl::Reference< RegressionCurveModel >& xRegressionCurve)
{
OUString aResult;
if(!xRegressionCurve.is())
return aResult;
xRegressionCurve->getPropertyValue(u"CurveName"_ustr) >>= aResult;
return aResult;
}
OUString RegressionCurveHelper::getRegressionCurveName( const rtl::Reference< RegressionCurveModel >& xRegressionCurve )
{
OUString aResult = getRegressionCurveSpecificName(xRegressionCurve);
if (aResult.isEmpty())
return getRegressionCurveGenericName(xRegressionCurve);
return aResult;
}
void RegressionCurveHelper::resetEquationPosition(
const Reference< chart2::XRegressionCurve > & xCurve )
{
if( !xCurve.is())
return;
try
{
static constexpr OUString aPosPropertyName( u"RelativePosition"_ustr );
Reference< beans::XPropertySet > xEqProp( xCurve->getEquationProperties()); // since m233: , uno::UNO_SET_THROW );
if( xEqProp->getPropertyValue( aPosPropertyName ).hasValue())
xEqProp->setPropertyValue( aPosPropertyName, uno::Any());
}
catch( const uno::Exception & )
{
DBG_UNHANDLED_EXCEPTION("chart2" );
}
}
sal_Int32 RegressionCurveHelper::getRegressionCurveIndex(
const rtl::Reference< DataSeries >& xContainer,
const rtl::Reference< RegressionCurveModel >& xCurve )
{
if( xContainer.is())
{
const std::vector< rtl::Reference< RegressionCurveModel > > & aCurves(
xContainer->getRegressionCurves2());
for( std::size_t i = 0; i < aCurves.size(); ++i )
{
if( xCurve == aCurves[i] )
return i;
}
}
return -1;
}
bool RegressionCurveHelper::hasEquation( const rtl::Reference< RegressionCurveModel > & xCurve )
{
bool bHasEquation = false;
if( xCurve.is())
{
uno::Reference< beans::XPropertySet > xEquationProp( xCurve->getEquationProperties());
if( xEquationProp.is())
{
bool bShowEquation = false;
bool bShowCoefficient = false;
xEquationProp->getPropertyValue( u"ShowEquation"_ustr) >>= bShowEquation;
xEquationProp->getPropertyValue( u"ShowCorrelationCoefficient"_ustr) >>= bShowCoefficient;
bHasEquation = bShowEquation || bShowCoefficient;
}
}
return bHasEquation;
}
bool RegressionCurveHelper::MayHaveCorrelationCoefficient( const rtl::Reference< RegressionCurveModel > & xCurve )
{
bool bMayHaveCorrelationCoefficient = true;
if( xCurve.is())
{
uno::Reference< beans::XPropertySet > xEquationProp( xCurve->getEquationProperties() );
if( xEquationProp.is() )
{
xEquationProp->getPropertyValue( u"MayHaveCorrelationCoefficient"_ustr) >>= bMayHaveCorrelationCoefficient;
}
}
return bMayHaveCorrelationCoefficient;
}
} //namespace chart
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