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authorDaniel Baumann <daniel.baumann@progress-linux.org>2024-04-07 09:06:44 +0000
committerDaniel Baumann <daniel.baumann@progress-linux.org>2024-04-07 09:06:44 +0000
commited5640d8b587fbcfed7dd7967f3de04b37a76f26 (patch)
tree7a5f7c6c9d02226d7471cb3cc8fbbf631b415303 /chart2/source/tools/RegressionCurveHelper.cxx
parentInitial commit. (diff)
downloadlibreoffice-upstream.tar.xz
libreoffice-upstream.zip
Adding upstream version 4:7.4.7.upstream/4%7.4.7upstream
Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>
Diffstat (limited to 'chart2/source/tools/RegressionCurveHelper.cxx')
-rw-r--r--chart2/source/tools/RegressionCurveHelper.cxx920
1 files changed, 920 insertions, 0 deletions
diff --git a/chart2/source/tools/RegressionCurveHelper.cxx b/chart2/source/tools/RegressionCurveHelper.cxx
new file mode 100644
index 000000000..60ac5ebd3
--- /dev/null
+++ b/chart2/source/tools/RegressionCurveHelper.cxx
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+/* -*- 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 <ChartModelHelper.hxx>
+#include <DataSeries.hxx>
+#include <ResId.hxx>
+#include <strings.hrc>
+#include <DiagramHelper.hxx>
+#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/XDataSeries.hpp>
+#include <com/sun/star/chart2/data/XDataSource.hpp>
+#include <o3tl/safeint.hxx>
+#include <tools/diagnose_ex.h>
+#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::createRegressionCurveByServiceName(
+ 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;
+}
+
+Reference< XRegressionCurveCalculator > RegressionCurveHelper::createRegressionCurveCalculatorByServiceName(
+ std::u16string_view aServiceName )
+{
+ Reference< XRegressionCurveCalculator > 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 Reference< XRegressionCurveCalculator > & xOutCurveCalculator,
+ const Reference< data::XDataSource > & xSource,
+ bool bUseXValuesIfAvailable /* = true */ )
+{
+ if( ! (xOutCurveCalculator.is() &&
+ xSource.is() ))
+ return;
+
+ Sequence< double > aXValues, aYValues;
+ bool bXValuesFound = false, bYValuesFound = false;
+
+ Sequence< Reference< data::XLabeledDataSequence > > aDataSeqs( xSource->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( "Role" ) >>= 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 );
+}
+
+void RegressionCurveHelper::initializeCurveCalculator(
+ const Reference< XRegressionCurveCalculator > & xOutCurveCalculator,
+ const Reference< XDataSeries > & xSeries,
+ const rtl::Reference<::chart::ChartModel> & xModel )
+{
+ sal_Int32 nAxisType = ChartTypeHelper::getAxisType(
+ ChartModelHelper::getChartTypeOfSeries( xModel, xSeries ), 0 ); // x-axis
+
+ initializeCurveCalculator( xOutCurveCalculator,
+ uno::Reference< data::XDataSource >( xSeries, uno::UNO_QUERY ),
+ (nAxisType == AxisType::REALNUMBER) );
+}
+
+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
+ uno::Reference< XRegressionCurve > xCurve( createMeanValueLine() );
+ xRegCnt->addRegressionCurve( xCurve );
+
+ if( xSeriesProp.is())
+ {
+ uno::Reference< XPropertySet > xProp( xCurve, uno::UNO_QUERY );
+ if( xProp.is())
+ {
+ xProp->setPropertyValue( "LineColor",
+ xSeriesProp->getPropertyValue( "Color"));
+ }
+ }
+}
+
+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( "LineColor",
+ xSeriesProp->getPropertyValue( "Color"));
+ }
+}
+
+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( "LineColor",
+ xSeriesProp->getPropertyValue( "Color"));
+ }
+ }
+ }
+ 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( "LineColor",
+ xRegressionCurveContainer->getPropertyValue( "Color"));
+ }
+ }
+ 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( "ShowEquation", uno::Any( false ));
+ xEqProp->setPropertyValue( "XName", uno::Any( OUString("x") ));
+ xEqProp->setPropertyValue( "YName", uno::Any( OUString("f(x) ") ));
+ xEqProp->setPropertyValue( "ShowCorrelationCoefficient", 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 Reference< XRegressionCurve >& xRegressionCurve )
+{
+ OUString aResult = getRegressionCurveSpecificName(xRegressionCurve);
+ if (aResult.isEmpty())
+ {
+ aResult = getRegressionCurveGenericName(xRegressionCurve);
+ if (!aResult.isEmpty())
+ {
+ aResult += " (%SERIESNAME)";
+ }
+ }
+ return aResult;
+}
+
+OUString RegressionCurveHelper::getRegressionCurveGenericName(const Reference< XRegressionCurve >& xRegressionCurve)
+{
+ OUString aResult;
+ if(!xRegressionCurve.is())
+ return aResult;
+
+ Reference< lang::XServiceName > xServiceName( xRegressionCurve, uno::UNO_QUERY );
+ if(!xServiceName.is())
+ return aResult;
+
+ OUString aServiceName(xServiceName->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 Reference< XRegressionCurve >& xRegressionCurve)
+{
+ OUString aResult;
+
+ if(!xRegressionCurve.is())
+ return aResult;
+
+ Reference<XPropertySet> xProperties( xRegressionCurve, uno::UNO_QUERY );
+ if(!xProperties.is())
+ return aResult;
+
+ xProperties->getPropertyValue("CurveName") >>= aResult;
+
+ return aResult;
+}
+
+OUString RegressionCurveHelper::getRegressionCurveName( const Reference< XRegressionCurve >& xRegressionCurve )
+{
+ OUString aResult = getRegressionCurveSpecificName(xRegressionCurve);
+ if (aResult.isEmpty())
+ return getRegressionCurveGenericName(xRegressionCurve);
+ return aResult;
+}
+
+std::vector< rtl::Reference< RegressionCurveModel > >
+ RegressionCurveHelper::getAllRegressionCurvesNotMeanValueLine(
+ const rtl::Reference< Diagram > & xDiagram )
+{
+ std::vector< rtl::Reference< RegressionCurveModel > > aResult;
+ std::vector< rtl::Reference< DataSeries > > aSeries( DiagramHelper::getDataSeriesFromDiagram( xDiagram ));
+ for (auto const& elem : aSeries)
+ {
+ for( rtl::Reference< RegressionCurveModel > const & curve : elem->getRegressionCurves2() )
+ {
+ if( ! isMeanValueLine( curve ))
+ aResult.push_back( curve );
+ }
+ }
+
+ return aResult;
+}
+
+void RegressionCurveHelper::resetEquationPosition(
+ const Reference< chart2::XRegressionCurve > & xCurve )
+{
+ if( !xCurve.is())
+ return;
+
+ try
+ {
+ static const OUStringLiteral aPosPropertyName( u"RelativePosition" );
+ 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 Reference< chart2::XRegressionCurve > & 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( "ShowEquation") >>= bShowEquation;
+ xEquationProp->getPropertyValue( "ShowCorrelationCoefficient") >>= bShowCoefficient;
+ bHasEquation = bShowEquation || bShowCoefficient;
+ }
+ }
+ return bHasEquation;
+}
+
+} //namespace chart
+
+/* vim:set shiftwidth=4 softtabstop=4 expandtab: */