/*=========================================================================
 *
 *  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.
 *
 *=========================================================================*/

#include "itkTobogganImageFilter.h"
#include "itkGradientMagnitudeRecursiveGaussianImageFilter.h"
#include "itkCastImageFilter.h"
#include "itkImageFileReader.h"
#include "itkImageFileWriter.h"
#include "itkTextOutput.h"
#include "itkTestingMacros.h"


int
itkTobogganImageFilterTest(int argc, char * argv[])
{
  if (argc < 3)
  {
    std::cerr << "Missing parameters" << std::endl;
    std::cerr << "Usage: " << itkNameOfTestExecutableMacro(argv) << " InputImage OutputImage" << std::endl;
    return EXIT_FAILURE;
  }

  constexpr unsigned int Dimension{ 2 };

  using PixelType = unsigned char;
  using FloatPixelType = float;
  using InputImageType = itk::Image<PixelType, Dimension>;
  using FloatImageType = itk::Image<FloatPixelType, Dimension>;
  using OutputImageType = itk::Image<PixelType, Dimension>;
  using LongImageType = itk::Image<itk::IdentifierType, Dimension>;


  // Create a pipeline
  using InputCastFilterType = itk::CastImageFilter<InputImageType, FloatImageType>;
  using FilterType = itk::TobogganImageFilter<FloatImageType>;
  using OutputCastFilterType = itk::CastImageFilter<LongImageType, OutputImageType>;
  using GMGaussianType = itk::GradientMagnitudeRecursiveGaussianImageFilter<FloatImageType, FloatImageType>;


  const itk::ImageFileReader<InputImageType>::Pointer reader = itk::ImageFileReader<InputImageType>::New();

  reader->SetFileName(argv[1]);

  ITK_TRY_EXPECT_NO_EXCEPTION(reader->Update());


  auto toboggan = FilterType::New();

  ITK_EXERCISE_BASIC_OBJECT_METHODS(toboggan, TobogganImageFilter, ImageToImageFilter);

  auto inputCaster = InputCastFilterType::New();
  auto gmgaussian = GMGaussianType::New();

  inputCaster->SetInput(reader->GetOutput());
  gmgaussian->SetInput(inputCaster->GetOutput());
  gmgaussian->SetSigma(15.0);

  toboggan->SetInput(gmgaussian->GetOutput());


  ITK_TRY_EXPECT_NO_EXCEPTION(toboggan->Update());


  // Cast the output of the Toboggan filter
  auto outputCaster = OutputCastFilterType::New();
  outputCaster->SetInput(toboggan->GetOutput());

  ITK_TRY_EXPECT_NO_EXCEPTION(outputCaster->Update());

  // Write the output
  using WriterType = itk::ImageFileWriter<OutputImageType>;
  auto writer = WriterType::New();
  writer->SetInput(outputCaster->GetOutput());
  writer->SetFileName(argv[2]);

  ITK_TRY_EXPECT_NO_EXCEPTION(writer->Update());


  std::cout << "Test finished." << std::endl;
  return EXIT_SUCCESS;
}
