/*=========================================================================
 *
 *  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 itkLabelImageToShapeLabelMapFilter_hxx
#define itkLabelImageToShapeLabelMapFilter_hxx

#include "itkProgressAccumulator.h"

namespace itk
{
template <typename TInputImage, typename TOutputImage>
LabelImageToShapeLabelMapFilter<TInputImage, TOutputImage>::LabelImageToShapeLabelMapFilter()
  : m_BackgroundValue(NumericTraits<OutputImagePixelType>::NonpositiveMin())
  , m_ComputePerimeter(true)
{}

template <typename TInputImage, typename TOutputImage>
void
LabelImageToShapeLabelMapFilter<TInputImage, TOutputImage>::GenerateInputRequestedRegion()
{
  // Call the superclass' implementation of this method
  Superclass::GenerateInputRequestedRegion();

  // We need all the inputs
  const InputImagePointer input = const_cast<InputImageType *>(this->GetInput());
  if (input)
  {
    input->SetRequestedRegion(input->GetLargestPossibleRegion());
  }
}

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

template <typename TInputImage, typename TOutputImage>
void
LabelImageToShapeLabelMapFilter<TInputImage, TOutputImage>::GenerateData()
{
  // Create a process accumulator for tracking the progress of this minipipeline
  auto progress = ProgressAccumulator::New();

  progress->SetMiniPipelineFilter(this);

  // Allocate the output
  this->AllocateOutputs();

  auto labelizer = LabelizerType::New();
  labelizer->SetInput(this->GetInput());
  labelizer->SetBackgroundValue(m_BackgroundValue);
  labelizer->SetNumberOfWorkUnits(this->GetNumberOfWorkUnits());
  progress->RegisterInternalFilter(labelizer, .5f);

  auto valuator = LabelObjectValuatorType::New();
  valuator->SetInput(labelizer->GetOutput());
  valuator->SetNumberOfWorkUnits(this->GetNumberOfWorkUnits());
  valuator->SetComputePerimeter(m_ComputePerimeter);
  valuator->SetComputeFeretDiameter(m_ComputeFeretDiameter);
  valuator->SetComputeOrientedBoundingBox(m_ComputeOrientedBoundingBox);
  progress->RegisterInternalFilter(valuator, .5f);

  valuator->GraftOutput(this->GetOutput());
  valuator->Update();
  this->GraftOutput(valuator->GetOutput());
}

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

  os << indent
     << "BackgroundValue: " << static_cast<typename NumericTraits<OutputImagePixelType>::PrintType>(m_BackgroundValue)
     << std::endl;
  os << indent << "ComputeFeretDiameter: " << m_ComputeFeretDiameter << std::endl;
  os << indent << "ComputePerimeter: " << m_ComputePerimeter << std::endl;
  os << indent << "ComputeOrientedBoundingBox: " << m_ComputeOrientedBoundingBox << std::endl;
}
} // end namespace itk
#endif
