/*=========================================================================
 *
 *  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 itkBinaryImageToStatisticsLabelMapFilter_hxx
#define itkBinaryImageToStatisticsLabelMapFilter_hxx

#include "itkProgressAccumulator.h"

namespace itk
{
template <typename TInputImage, typename TFeatureImage, typename TOutputImage>
BinaryImageToStatisticsLabelMapFilter<TInputImage, TFeatureImage, TOutputImage>::BinaryImageToStatisticsLabelMapFilter()
{
  m_OutputBackgroundValue = NumericTraits<OutputImagePixelType>::NonpositiveMin();
  m_InputForegroundValue = NumericTraits<InputImagePixelType>::max();
  m_FullyConnected = false;
  m_ComputeFeretDiameter = false;
  m_ComputePerimeter = true;
  m_NumberOfBins = LabelObjectValuatorType::GetDefaultNumberOfBins();
  m_ComputeHistogram = true;
  this->SetNumberOfRequiredInputs(2);
}

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

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

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

template <typename TInputImage, typename TFeatureImage, typename TOutputImage>
void
BinaryImageToStatisticsLabelMapFilter<TInputImage, TFeatureImage, 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->SetInputForegroundValue(m_InputForegroundValue);
  labelizer->SetOutputBackgroundValue(m_OutputBackgroundValue);
  labelizer->SetFullyConnected(m_FullyConnected);
  labelizer->SetNumberOfWorkUnits(this->GetNumberOfWorkUnits());
  progress->RegisterInternalFilter(labelizer, .5f);

  auto valuator = LabelObjectValuatorType::New();
  valuator->SetInput(labelizer->GetOutput());
  valuator->SetFeatureImage(this->GetFeatureImage());
  valuator->SetNumberOfWorkUnits(this->GetNumberOfWorkUnits());
  valuator->SetComputePerimeter(m_ComputePerimeter);
  valuator->SetComputeFeretDiameter(m_ComputeFeretDiameter);
  valuator->SetComputeHistogram(m_ComputeHistogram);
  valuator->SetNumberOfBins(m_NumberOfBins);
  progress->RegisterInternalFilter(valuator, .5f);

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

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

  os << indent << "FullyConnected: " << (m_FullyConnected ? "On" : "Off") << std::endl;
  os << indent << "OutputBackgroundValue: "
     << static_cast<typename NumericTraits<OutputImagePixelType>::PrintType>(m_OutputBackgroundValue) << std::endl;
  os << indent << "InputForegroundValue: "
     << static_cast<typename NumericTraits<OutputImagePixelType>::PrintType>(m_InputForegroundValue) << std::endl;
  os << indent << "ComputeFeretDiameter: " << m_ComputeFeretDiameter << std::endl;
  os << indent << "ComputePerimeter: " << m_ComputePerimeter << std::endl;
  os << indent << "ComputeHistogram: " << m_ComputeHistogram << std::endl;
  os << indent << "NumberOfBins: " << m_NumberOfBins << std::endl;
}
} // end namespace itk
#endif
