// --------------------------------------------------------------------------
//                   OpenMS -- Open-Source Mass Spectrometry
// --------------------------------------------------------------------------
// Copyright The OpenMS Team -- Eberhard Karls University Tuebingen,
// ETH Zurich, and Freie Universitaet Berlin 2002-2021.
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// $Maintainer: Timo Sachsenberg $
// $Authors: $
// --------------------------------------------------------------------------

#pragma once

#include <OpenMS/TRANSFORMATIONS/FEATUREFINDER/Fitter1D.h>


#include <algorithm>

#include <OpenMS/DATASTRUCTURES/ListUtils.h>

// forward decl
namespace Eigen
{
    template<typename _Scalar, int _Rows, int _Cols, int _Options, int _MaxRows, int _MaxCols>
    class Matrix;
    using MatrixXd = Matrix<double, -1, -1, 0, -1, -1>;
    using VectorXd = Matrix<double, -1, 1, 0, -1, 1>;
}

namespace OpenMS
{

  /**
    @brief Abstract class for 1D-model fitter using Levenberg-Marquardt algorithm for parameter optimization.
      */
  class OPENMS_DLLAPI LevMarqFitter1D :
    public Fitter1D
  {

public:

    typedef std::vector<double> ContainerType;

    /** Generic functor for LM-Optimization */
    //TODO: This is copy and paste from TraceFitter.h. Make a generic wrapper for LM optimization
    class GenericFunctor
    {
    public:
      int inputs() const { return m_inputs; }
      int values() const { return m_values; }

      GenericFunctor(int dimensions, int num_data_points)
      : m_inputs(dimensions), m_values(num_data_points) {}

      virtual ~GenericFunctor() {}

      virtual int operator()(const Eigen::VectorXd &x, Eigen::VectorXd &fvec) const = 0;

      // compute Jacobian matrix for the different parameters
      virtual int df(const Eigen::VectorXd &x, Eigen::MatrixXd &J) const = 0;

    protected:
      const int m_inputs, m_values;
    };

    /// Default constructor
    LevMarqFitter1D() :
      Fitter1D()
    {
      this->defaults_.setValue("max_iteration", 500, "Maximum number of iterations using by Levenberg-Marquardt algorithm.", {"advanced"});
    }

    /// copy constructor
    LevMarqFitter1D(const LevMarqFitter1D & source) :
      Fitter1D(source),
      max_iteration_(source.max_iteration_)
    {
    }

    /// destructor
    ~LevMarqFitter1D() override
    {
    }

    /// assignment operator
    virtual LevMarqFitter1D & operator=(const LevMarqFitter1D & source)
    {
      if (&source == this) return *this;

      Fitter1D::operator=(source);
      max_iteration_ = source.max_iteration_;

      return *this;
    }

protected:

    /// Parameter indicates symmetric peaks
    bool symmetric_;
    /// Maximum number of iterations
    Int max_iteration_;

    /**
        @brief Optimize start parameter

        @exception Exception::UnableToFit is thrown if fitting cannot be performed
    */
    void optimize_(Eigen::VectorXd& x_init, GenericFunctor& functor) const;

    void updateMembers_() override;

  };
}

