/*=========================================================================
 *
 *  Copyright NumFOCUS
 *
 *  Licensed 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
 *
 *         https://www.apache.org/licenses/LICENSE-2.0.txt
 *
 *  Unless required by applicable law or agreed to in writing, software
 *  distributed under the License is distributed on an "AS IS" BASIS,
 *  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 *  See the License for the specific language governing permissions and
 *  limitations under the License.
 *
 *=========================================================================*/
#ifndef itkLabelMapOverlayImageFilter_hxx
#define itkLabelMapOverlayImageFilter_hxx

#include "itkNumericTraits.h"
#include "itkProgressReporter.h"
#include "itkImageScanlineIterator.h"
#include "itkProgressTransformer.h"

namespace itk
{

template <typename TLabelMap, typename TFeatureImage, typename TOutputImage>
LabelMapOverlayImageFilter<TLabelMap, TFeatureImage, TOutputImage>::LabelMapOverlayImageFilter()
{
  this->SetNumberOfRequiredInputs(2);
  m_Opacity = 0.5;
  this->DynamicMultiThreadingOn();
}

template <typename TLabelMap, typename TFeatureImage, typename TOutputImage>
void
LabelMapOverlayImageFilter<TLabelMap, TFeatureImage, TOutputImage>::GenerateInputRequestedRegion()
{
  // call the superclass' implementation of this method
  Superclass::GenerateInputRequestedRegion();

  // We need all the input.
  LabelMapPointer input = const_cast<LabelMapType *>(this->GetInput());
  if (!input)
  {
    return;
  }
  input->SetRequestedRegion(input->GetLargestPossibleRegion());
}

template <typename TLabelMap, typename TFeatureImage, typename TOutputImage>
void
LabelMapOverlayImageFilter<TLabelMap, TFeatureImage, TOutputImage>::EnlargeOutputRequestedRegion(DataObject *)
{
  this->GetOutput()->SetRequestedRegion(this->GetOutput()->GetLargestPossibleRegion());
}

template <typename TLabelMap, typename TFeatureImage, typename TOutputImage>
void
LabelMapOverlayImageFilter<TLabelMap, TFeatureImage, TOutputImage>::GenerateData()
{
  this->UpdateProgress(0.0f);
  this->AllocateOutputs();

  Superclass::BeforeThreadedGenerateData();

  ProgressTransformer pt(0.01f, 0.5f, this);
  this->GetMultiThreader()->SetNumberOfWorkUnits(this->GetNumberOfWorkUnits());
  this->GetMultiThreader()->template ParallelizeImageRegion<OutputImageDimension>(
    this->GetOutput()->GetRequestedRegion(),
    [this](const OutputImageRegionType & outputRegionForThread) {
      this->DynamicThreadedGenerateData(outputRegionForThread);
    },
    pt.GetProcessObject());

  ProgressTransformer pt2(0.5f, 0.99f, this);
  // and delegate to the superclass implementation to use the thread support for the label objects
  this->GetMultiThreader()->template ParallelizeImageRegion<OutputImageDimension>(
    this->GetOutput()->GetRequestedRegion(),
    [this](const OutputImageRegionType & outputRegionForThread) { this->SuperclassDynamicTGD(outputRegionForThread); },
    pt2.GetProcessObject());

  this->AfterThreadedGenerateData();
  this->UpdateProgress(1.0f);
}


template <typename TLabelMap, typename TFeatureImage, typename TOutputImage>
void
LabelMapOverlayImageFilter<TLabelMap, TFeatureImage, TOutputImage>::DynamicThreadedGenerateData(
  const OutputImageRegionType & outputRegionForThread)
{
  OutputImageType *        output = this->GetOutput();
  auto *                   input = const_cast<LabelMapType *>(this->GetInput());
  const FeatureImageType * input2 = this->GetFeatureImage();

  FunctorType function(m_Functor);
  function.SetBackgroundValue(input->GetBackgroundValue());
  function.SetOpacity(m_Opacity);

  ImageScanlineConstIterator featureIt(input2, outputRegionForThread);
  ImageScanlineIterator      outputIt(output, outputRegionForThread);

  while (!featureIt.IsAtEnd())
  {
    while (!featureIt.IsAtEndOfLine())
    {
      outputIt.Set(function(featureIt.Get(), input->GetBackgroundValue()));
      ++featureIt;
      ++outputIt;
    }
    featureIt.NextLine();
    outputIt.NextLine();
  }
}


template <typename TLabelMap, typename TFeatureImage, typename TOutputImage>
void
LabelMapOverlayImageFilter<TLabelMap, TFeatureImage, TOutputImage>::ThreadedProcessLabelObject(
  LabelObjectType * labelObject)
{
  OutputImageType *        output = this->GetOutput();
  auto *                   input = const_cast<LabelMapType *>(this->GetInput());
  const FeatureImageType * input2 = this->GetFeatureImage();

  FunctorType function(m_Functor);
  function.SetBackgroundValue(input->GetBackgroundValue());
  function.SetOpacity(m_Opacity);

  const typename LabelObjectType::LabelType & label = labelObject->GetLabel();

  // the user want the mask to be the background of the label collection image
  typename LabelObjectType::ConstIndexIterator it(labelObject);
  while (!it.IsAtEnd())
  {
    const IndexType idx = it.GetIndex();
    output->SetPixel(idx, function(input2->GetPixel(idx), label));
    ++it;
  }
}

template <typename TLabelMap, typename TFeatureImage, typename TOutputImage>
void
LabelMapOverlayImageFilter<TLabelMap, TFeatureImage, TOutputImage>::GenerateOutputInformation()
{
  // this methods is overloaded so that if the output image is a
  // VectorImage then the correct number of components are set.

  Superclass::GenerateOutputInformation();
  OutputImageType * output = this->GetOutput();

  if (!output)
  {
    return;
  }
  if (output->GetNumberOfComponentsPerPixel() != 3)
  {
    output->SetNumberOfComponentsPerPixel(3);
  }
}

template <typename TLabelMap, typename TFeatureImage, typename TOutputImage>
void
LabelMapOverlayImageFilter<TLabelMap, TFeatureImage, TOutputImage>::PrintSelf(std::ostream & os, Indent indent) const
{
  Superclass::PrintSelf(os, indent);

  os << indent << "Opacity: " << m_Opacity << std::endl;
}


} // end namespace itk
#endif
