annotate data/model/AlignmentModel.cpp @ 299:576be0d0d218

* Merge transform directory from sv-match-alignment branch
  (the previous comment included notes for this stuff, but I missed it
  in the actual merge)
* Fix crash when a transform fails to create an output model and the
  thread that created the transform then deletes its input model thinking
  it's no longer needed, even though the transform run thread is still
  using it -- fix is to wait() on the transform before returning the
  null output model

/* -*- c-basic-offset: 4 indent-tabs-mode: nil -*-  vi:set ts=8 sts=4 sw=4: */

/*
    Sonic Visualiser
    An audio file viewer and annotation editor.
    Centre for Digital Music, Queen Mary, University of London.
    This file copyright 2007 QMUL.
    
    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.  See the file
    COPYING included with this distribution for more information.
*/

#include "AlignmentModel.h"

#include "SparseTimeValueModel.h"

AlignmentModel::AlignmentModel(Model *reference,
                               Model *aligned,
                               Model *inputModel,
			       SparseTimeValueModel *path) :
    m_reference(reference),
    m_aligned(aligned),
    m_inputModel(inputModel),
    m_path(path),
    m_reversePath(0),
    m_pathComplete(false)
{
    connect(m_path, SIGNAL(modelChanged()),
            this, SLOT(pathChanged()));

    connect(m_path, SIGNAL(modelChanged(size_t, size_t)),
            this, SLOT(pathChanged(size_t, size_t)));

    connect(m_path, SIGNAL(completionChanged()),
            this, SLOT(pathCompletionChanged()));

    constructReversePath();
}

AlignmentModel::~AlignmentModel()
{
    delete m_inputModel;
    delete m_path;
    delete m_reversePath;
}

bool
AlignmentModel::isOK() const
{
    return m_path->isOK();
}

size_t
AlignmentModel::getStartFrame() const
{
    //!!! do we care about distinct rates?
    size_t a = m_reference->getStartFrame();
    size_t b = m_aligned->getStartFrame();
    return std::min(a, b);
}

size_t
AlignmentModel::getEndFrame() const
{
    //!!! do we care about distinct rates?
    size_t a = m_reference->getEndFrame();
    size_t b = m_aligned->getEndFrame();
    return std::max(a, b);
}

size_t
AlignmentModel::getSampleRate() const
{
    return m_reference->getSampleRate();
}

Model *
AlignmentModel::clone() const
{
    return new AlignmentModel
        (m_reference, m_aligned,
         m_inputModel ? m_inputModel->clone() : 0,
         m_path ? static_cast<SparseTimeValueModel *>(m_path->clone()) : 0);
}

bool
AlignmentModel::isReady(int *completion) const
{
    return m_path->isReady(completion);
}

const ZoomConstraint *
AlignmentModel::getZoomConstraint() const
{
    return m_path->getZoomConstraint();
}

const Model *
AlignmentModel::getReferenceModel() const
{
    return m_reference;
}

const Model *
AlignmentModel::getAlignedModel() const
{
    return m_aligned;
}

size_t
AlignmentModel::toReference(size_t frame) const
{
//    std::cerr << "AlignmentModel::toReference(" << frame << ")" << std::endl;
    if (!m_reversePath) constructReversePath();
    return align(m_reversePath, frame);
}

size_t
AlignmentModel::fromReference(size_t frame) const
{
//    std::cerr << "AlignmentModel::fromReference(" << frame << ")" << std::endl;
    return align(m_path, frame);
}

void
AlignmentModel::pathChanged()
{
}

void
AlignmentModel::pathChanged(size_t, size_t)
{
    if (!m_pathComplete) return;
    constructReversePath();
}    

void
AlignmentModel::pathCompletionChanged()
{
    if (!m_pathComplete) {
        int completion = 0;
        m_path->isReady(&completion);
        std::cerr << "AlignmentModel::pathCompletionChanged: completion = "
                  << completion << std::endl;
        m_pathComplete = (completion == 100); //!!! a bit of a hack
        if (m_pathComplete) {
            constructReversePath();
            delete m_inputModel;
            m_inputModel = 0;
        }
    }
    emit completionChanged();
}

void
AlignmentModel::constructReversePath() const
{
    if (!m_reversePath) {
        m_reversePath = new SparseTimeValueModel
            (m_path->getSampleRate(), m_path->getResolution(), false);
    }
        
    m_reversePath->clear();

    SparseTimeValueModel::PointList points = m_path->getPoints();
        
    for (SparseTimeValueModel::PointList::const_iterator i = points.begin();
         i != points.end(); ++i) {
        long frame = i->frame;
        float value = i->value;
        long rframe = lrintf(value * m_aligned->getSampleRate());
        float rvalue = (float)frame / (float)m_reference->getSampleRate();
        m_reversePath->addPoint
            (SparseTimeValueModel::Point(rframe, rvalue, ""));
    }

    std::cerr << "AlignmentModel::constructReversePath: " << m_reversePath->getPointCount() << " points" << std::endl;
}

size_t
AlignmentModel::align(SparseTimeValueModel *path, size_t frame) const
{
    // The path consists of a series of points, each with x (time)
    // equal to the time on the source model and y (value) equal to
    // the time on the target model.  Times and values are both
    // monotonically increasing.

    const SparseTimeValueModel::PointList &points = path->getPoints();

    if (points.empty()) {
//        std::cerr << "AlignmentModel::align: No points" << std::endl;
        return frame;
    }        

    SparseTimeValueModel::Point point(frame);
    SparseTimeValueModel::PointList::const_iterator i = points.lower_bound(point);
    if (i == points.end()) --i;
    float time = i->value;
    size_t rv = lrintf(time * getSampleRate());

    //!!! interpolate!

//    std::cerr << "AlignmentModel::align: rv = " << rv << std::endl;

    return rv;
}