/**
 * @file SparseMatrixHelper.tpp
 * @author Giulio Romualdi
 * @copyright  Released under the terms of the BSD 3-Clause License
 * @date 2018
 */

#include <OsqpEigen/Debug.hpp>
#include <cassert>

template <typename Derived>
bool OsqpEigen::SparseMatrixHelper::createOsqpSparseMatrix(
    const Eigen::SparseCompressedBase<Derived>& eigenSparseMatrix, csc*& osqpSparseMatrix)

{
    // Copying into a new sparse matrix to be sure to use a CSC matrix
    Eigen::SparseMatrix<typename Derived::value_type, Eigen::ColMajor> colMajorCopy;

    // This may perform memory allocation, but this is already the case for allocating the
    // osqpSparseMatrix
    colMajorCopy = eigenSparseMatrix;

    // get number of row, columns and nonZeros from Eigen SparseMatrix
    c_int rows = colMajorCopy.rows();
    c_int cols = colMajorCopy.cols();
    c_int numberOfNonZeroCoeff = colMajorCopy.nonZeros();

    // get innerr and outer index
    const int* outerIndexPtr = colMajorCopy.outerIndexPtr();
    const int* innerNonZerosPtr = colMajorCopy.innerNonZeroPtr();

    // instantiate csc matrix
    // MEMORY ALLOCATION!!
    if (osqpSparseMatrix != nullptr)
    {
        debugStream() << "[OsqpEigen::SparseMatrixHelper::createOsqpSparseMatrix] osqpSparseMatrix "
                         "pointer is not a null pointer! "
                      << std::endl;
        return false;
    }

    osqpSparseMatrix = OsqpEigen::spalloc(rows, cols, numberOfNonZeroCoeff);

    int innerOsqpPosition = 0;
    for (int k = 0; k < cols; k++)
    {
        if (colMajorCopy.isCompressed())
        {
            osqpSparseMatrix->p[k] = static_cast<c_int>(outerIndexPtr[k]);
        } else
        {
            if (k == 0)
            {
                osqpSparseMatrix->p[k] = 0;
            } else
            {
                osqpSparseMatrix->p[k] = osqpSparseMatrix->p[k - 1] + innerNonZerosPtr[k - 1];
            }
        }
        for (typename Eigen::SparseMatrix<typename Derived::value_type,
                                          Eigen::ColMajor>::InnerIterator it(colMajorCopy, k);
             it;
             ++it)
        {
            osqpSparseMatrix->i[innerOsqpPosition] = static_cast<c_int>(it.row());
            osqpSparseMatrix->x[innerOsqpPosition] = static_cast<c_float>(it.value());
            innerOsqpPosition++;
        }
    }
    osqpSparseMatrix->p[static_cast<int>(cols)] = static_cast<c_int>(innerOsqpPosition);

    assert(innerOsqpPosition == numberOfNonZeroCoeff);

    return true;
}

template <typename T>
bool OsqpEigen::SparseMatrixHelper::osqpSparseMatrixToTriplets(
    const csc* const& osqpSparseMatrix, std::vector<Eigen::Triplet<T>>& tripletList)
{
    // if the matrix is not instantiate the triplets vector is empty
    if (osqpSparseMatrix == nullptr)
    {
        debugStream() << "[OsqpEigen::SparseMatrixHelper::osqpSparseMatrixToTriplets] the "
                         "osqpSparseMatrix is not initialized."
                      << std::endl;
        return false;
    }

    // get row and column data
    c_int* innerIndexPtr = osqpSparseMatrix->i;
    c_int* outerIndexPtr = osqpSparseMatrix->p;

    // get values data
    c_float* valuePtr = osqpSparseMatrix->x;
    c_int numberOfNonZeroCoeff = osqpSparseMatrix->p[osqpSparseMatrix->n];

    // populate the tripletes vector
    int column = 0;
    int row;
    c_float value;

    tripletList.resize(numberOfNonZeroCoeff);
    for (int i = 0; i < numberOfNonZeroCoeff; i++)
    {
        row = innerIndexPtr[i];
        value = valuePtr[i];

        while (i >= outerIndexPtr[column + 1])
            column++;

        tripletList[i] = Eigen::Triplet<T>(row, column, static_cast<T>(value));
    }

    tripletList.erase(tripletList.begin() + numberOfNonZeroCoeff, tripletList.end());

    return true;
}

template <typename T>
bool OsqpEigen::SparseMatrixHelper::osqpSparseMatrixToEigenSparseMatrix(
    const csc* const& osqpSparseMatrix, Eigen::SparseMatrix<T>& eigenSparseMatrix)
{
    // if the matrix is not instantiate the eigen matrix is empty
    if (osqpSparseMatrix == nullptr)
    {
        debugStream() << "[OsqpEigen::SparseMatrixHelper::osqpSparseMatrixToEigenSparseMatrix] the "
                         "osqpSparseMatrix is not initialized."
                      << std::endl;
        return false;
    }

    // get the number of rows and columns
    int rows = osqpSparseMatrix->m;
    int cols = osqpSparseMatrix->n;

    // get the triplets from the csc matrix
    std::vector<Eigen::Triplet<T>> tripletList;

    OsqpEigen::SparseMatrixHelper::osqpSparseMatrixToTriplets(osqpSparseMatrix, tripletList);

    // resize the eigen matrix
    eigenSparseMatrix.resize(rows, cols);

    // set the eigen matrix from triplets
    eigenSparseMatrix.setFromTriplets(tripletList.begin(), tripletList.end());
    return true;
}

template <typename Derived, typename T>
bool OsqpEigen::SparseMatrixHelper::eigenSparseMatrixToTriplets(
    const Eigen::SparseCompressedBase<Derived>& eigenSparseMatrix,
    std::vector<Eigen::Triplet<T>>& tripletList)
{
    if (eigenSparseMatrix.nonZeros() == 0)
    {
        debugStream() << "[OsqpEigen::SparseMatrixHelper::eigenSparseMatrixToTriplets] The "
                         "eigenSparseMatrix is empty."
                      << std::endl;
        return false;
    }

    tripletList.resize(eigenSparseMatrix.nonZeros());
    // populate the triplet list
    int nonZero = 0;
    for (int k = 0; k < eigenSparseMatrix.outerSize(); ++k)
    {
        for (typename Eigen::SparseCompressedBase<Derived>::InnerIterator it(eigenSparseMatrix, k);
             it;
             ++it)
        {
            tripletList[nonZero]
                = Eigen::Triplet<T>(it.row(), it.col(), static_cast<T>(it.value()));
            nonZero++;
        }
    }
    tripletList.erase(tripletList.begin() + eigenSparseMatrix.nonZeros(), tripletList.end());

    return true;
}