Tobias Doerffel
f9876d4e84
git-svn-id: https://lmms.svn.sf.net/svnroot/lmms/trunk/lmms@1094 0778d3d1-df1d-0410-868b-ea421aaaa00d
488 lines
9.6 KiB
C++
488 lines
9.6 KiB
C++
/*
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* automatable_model.cpp - some implementations of automatableModel-class
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*
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* Copyright (c) 2008 Tobias Doerffel <tobydox/at/users.sourceforge.net>
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*
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* This file is part of Linux MultiMedia Studio - http://lmms.sourceforge.net
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*
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* This program is free software; you can redistribute it and/or
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* modify it under the terms of the GNU General Public
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* License as published by the Free Software Foundation; either
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* version 2 of the License, or (at your option) any later version.
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*
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* This program is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
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* General Public License for more details.
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*
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* You should have received a copy of the GNU General Public
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* License along with this program (see COPYING); if not, write to the
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* Free Software Foundation, Inc., 51 Franklin Street, Fifth Floor,
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* Boston, MA 02110-1301 USA.
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*
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*/
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#include <Qt/QtXml>
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#include "automatable_model.h"
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#include "automation_pattern.h"
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#include "automation_editor.h"
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float automatableModel::__copiedValue = 0;
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template<>
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inline float automatableModel::minEps<float>( void )
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{
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return( 1.0e-10 );
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}
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automatableModel::automatableModel( DataType _type,
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const float _val,
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const float _min,
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const float _max,
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const float _step,
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::model * _parent,
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const QString & _display_name,
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bool _default_constructed ) :
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model( _parent, _default_constructed ),
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m_dataType( _type ),
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m_value( _val ),
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m_initValue( _val ),
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m_minValue( _min ),
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m_maxValue( _max ),
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m_step( _step ),
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m_range( _max - _min ),
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m_displayName( _display_name ),
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m_journalEntryReady( FALSE ),
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m_controllerConnection( NULL ),
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m_automationPattern( NULL ),
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m_track( NULL )
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{
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}
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automatableModel::~automatableModel()
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{
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delete m_automationPattern;
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while( m_linkedModels.empty() == FALSE )
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{
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m_linkedModels.last()->unlinkModel( this );
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m_linkedModels.erase( m_linkedModels.end() - 1 );
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}
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if( m_controllerConnection )
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{
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delete m_controllerConnection;
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}
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}
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void automatableModel::saveSettings( QDomDocument & _doc, QDomElement & _this,
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const QString & _name )
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{
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if( m_automationPattern && m_automationPattern->getTimeMap().size()
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> 1 )
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{
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QDomElement pattern_element;
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QDomNode node = _this.namedItem(
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automationPattern::classNodeName() );
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if( node.isElement() )
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{
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pattern_element = node.toElement();
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}
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else
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{
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pattern_element = _doc.createElement(
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automationPattern::classNodeName() );
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_this.appendChild( pattern_element );
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}
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QDomElement element = _doc.createElement( _name );
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m_automationPattern->saveSettings( _doc, element );
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pattern_element.appendChild( element );
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}
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else
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{
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_this.setAttribute( _name, m_value );
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}
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if( m_controllerConnection )
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{
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QDomElement controller_element;
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QDomNode node = _this.namedItem( "connection" );
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if( node.isElement() )
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{
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controller_element = node.toElement();
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}
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else
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{
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controller_element = _doc.createElement( "connection" );
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_this.appendChild( controller_element );
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}
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QDomElement element = _doc.createElement( _name );
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m_controllerConnection->saveSettings( _doc, element );
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controller_element.appendChild( element );
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}
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}
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void automatableModel::loadSettings( const QDomElement & _this,
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const QString & _name )
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{
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QDomNode node = _this.namedItem( automationPattern::classNodeName() );
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if( node.isElement() && getAutomationPattern() )
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{
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node = node.namedItem( _name );
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if( node.isElement() )
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{
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m_automationPattern->loadSettings( node.toElement() );
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setValue( m_automationPattern->valueAt( 0 ) );
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return;
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}
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}
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node = _this.namedItem( "connection" );
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if( node.isElement() )
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{
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node = node.namedItem( _name );
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if( node.isElement() )
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{
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setControllerConnection( new controllerConnection( (controller*)NULL ) );
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m_controllerConnection->loadSettings( node.toElement() );
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//m_controllerConnection->setTargetName( displayName() );
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}
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}
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setInitValue( _this.attribute( _name ).toFloat() );
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}
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void automatableModel::setValue( const float _value )
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{
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const float old_val = m_value;
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m_value = fittedValue( _value );
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if( old_val != m_value )
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{
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// add changes to history so user can undo it
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addJournalEntry( journalEntry( 0, m_value - old_val ) );
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// notify linked models
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for( autoModelVector::iterator it =
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m_linkedModels.begin();
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it != m_linkedModels.end(); ++it )
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{
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if( value<float>() != (*it)->value<float>() &&
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(*it)->fittedValue( value<float>() )
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!= (*it)->value<float>() )
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{
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bool journalling = (*it)->testAndSetJournalling(
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isJournalling() );
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(*it)->setValue( value<float>() );
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(*it)->setJournalling( journalling );
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}
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}
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setFirstValue();
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emit dataChanged();
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}
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else
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{
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emit dataUnchanged();
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}
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}
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void automatableModel::setAutomatedValue( const float _value )
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{
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const float old_val = m_value;
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m_value = fittedValue( _value );
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if( old_val != m_value )
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{
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// notify linked models
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for( autoModelVector::iterator it =
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m_linkedModels.begin();
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it != m_linkedModels.end(); ++it )
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{
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if( value<float>() != (*it)->value<float>() &&
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(*it)->fittedValue( value<float>() )
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!= (*it)->value<float>() )
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{
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(*it)->setAutomatedValue( value<float>() );
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}
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}
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emit dataChanged();
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}
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}
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void automatableModel::setRange( const float _min, const float _max,
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const float _step )
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{
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if( ( m_maxValue != _max ) || ( m_minValue != _min ) )
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{
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m_minValue = _min;
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m_maxValue = _max;
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if( m_minValue > m_maxValue )
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{
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qSwap<float>( m_minValue, m_maxValue );
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}
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m_range = m_maxValue - m_minValue;
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setStep( _step );
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// re-adjust value
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setInitValue( value<float>() );
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emit propertiesChanged();
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}
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}
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void automatableModel::setStep( const float _step )
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{
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if( m_step != _step )
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{
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m_step = _step;
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emit propertiesChanged();
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}
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}
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float automatableModel::fittedValue( float _value ) const
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{
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_value = tLimit<float>( _value, m_minValue, m_maxValue );
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if( m_step != 0 )
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{
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_value = roundf( _value / m_step ) * m_step;
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}
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else
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{
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_value = m_minValue;
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}
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// correct rounding error at the border
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if( tAbs<float>( _value - m_maxValue ) <
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minEps<float>() * tAbs<float>( m_step ) )
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{
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_value = m_maxValue;
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}
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// correct rounding error if value = 0
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if( tAbs<float>( _value ) < minEps<float>() * tAbs<float>( m_step ) )
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{
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_value = 0;
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}
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return( _value );
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}
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void automatableModel::redoStep( journalEntry & _je )
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{
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bool journalling = testAndSetJournalling( FALSE );
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setValue( value<float>() + _je.data().toDouble() );
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setJournalling( journalling );
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}
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void automatableModel::undoStep( journalEntry & _je )
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{
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journalEntry je( _je.actionID(), -_je.data().toDouble() );
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redoStep( je );
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}
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void automatableModel::prepareJournalEntryFromOldVal( void )
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{
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m_oldValue = value<float>();
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saveJournallingState( FALSE );
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m_journalEntryReady = TRUE;
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}
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void automatableModel::addJournalEntryFromOldToCurVal( void )
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{
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if( m_journalEntryReady )
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{
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restoreJournallingState();
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if( value<float>() != m_oldValue )
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{
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addJournalEntry( journalEntry( 0, value<float>() -
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m_oldValue ) );
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}
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m_journalEntryReady = FALSE;
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}
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}
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void automatableModel::linkModel( automatableModel * _model )
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{
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if( qFind( m_linkedModels.begin(), m_linkedModels.end(), _model )
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== m_linkedModels.end() )
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{
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m_linkedModels.push_back( _model );
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}
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}
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void automatableModel::unlinkModel( automatableModel * _model )
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{
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if( qFind( m_linkedModels.begin(), m_linkedModels.end(), _model )
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!= m_linkedModels.end() )
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{
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m_linkedModels.erase( qFind( m_linkedModels.begin(),
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m_linkedModels.end(),
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_model ) );
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}
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}
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void automatableModel::linkModels( automatableModel * _model1,
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automatableModel * _model2 )
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{
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_model1->linkModel( _model2 );
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_model2->linkModel( _model1 );
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if( _model1->m_automationPattern != _model2->m_automationPattern )
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{
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delete _model2->m_automationPattern;
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_model2->m_automationPattern = _model1->m_automationPattern;
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}
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}
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void automatableModel::unlinkModels( automatableModel * _model1,
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automatableModel * _model2 )
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{
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_model1->unlinkModel( _model2 );
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_model2->unlinkModel( _model1 );
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if( _model1->m_automationPattern && _model1->m_automationPattern
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== _model2->m_automationPattern )
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{
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_model2->m_automationPattern = new automationPattern(
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*_model1->m_automationPattern, _model2 );
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}
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}
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void automatableModel::initAutomationPattern( void )
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{
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m_automationPattern = new automationPattern( NULL, this );
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}
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automationPattern * automatableModel::getAutomationPattern( void )
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{
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if( !m_automationPattern )
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{
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m_automationPattern = new automationPattern( m_track, this );
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setFirstValue();
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// syncAutomationPattern();
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}
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return( m_automationPattern );
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}
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void automatableModel::setFirstValue( void )
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{
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if( m_automationPattern && m_automationPattern->updateFirst() )
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{
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m_automationPattern->putValue( 0, m_value, FALSE );
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if( engine::getAutomationEditor() &&
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engine::getAutomationEditor()->currentPattern()
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== m_automationPattern )
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{
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engine::getAutomationEditor()->update();
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}
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}
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}
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void automatableModel::setInitValue( const float _value )
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{
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m_initValue = _value;
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bool journalling = testAndSetJournalling( FALSE );
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setValue( _value );
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if( m_automationPattern )
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{
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setFirstValue();
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}
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setJournalling( journalling );
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}
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void automatableModel::reset( void )
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{
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setValue( initValue<float>() );
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}
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void automatableModel::copyValue( void )
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{
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__copiedValue = value<float>();
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}
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void automatableModel::pasteValue( void )
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{
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setValue( __copiedValue );
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}
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#include "automatable_model.moc"
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