/* This file is part of the KDE project
   Copyright (C) 2001-2003 Rob Buis <buis@kde.org>
   Copyright (C) 2007, 2009 Jan Hambrecht <jaham@gmx.net>

   This library is free software; you can redistribute it and/or
   modify it under the terms of the GNU Library General Public
   License as published by the Free Software Foundation; either
   version 2 of the License, or (at your option) any later version.

   This library is distributed in the hope that it will be useful,
   but WITHOUT ANY WARRANTY; without even the implied warranty of
   MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU
   Library General Public License for more details.

   You should have received a copy of the GNU Library General Public License
   along with this library; see the file COPYING.LIB.  If not, write to
   the Free Software Foundation, Inc., 51 Franklin Street, Fifth Floor,
 * Boston, MA 02110-1301, USA.
*/

#include "KoCurveFit.h"
#include <KoPathShape.h>
#include <QVector>
#include <math.h>

/// our equivalent to zero
const qreal Zero = 10e-12;

/*
    An Algorithm for Automatically Fitting Digitized Curves
    by Philip J. Schneider
    from "Graphics Gems", Academic Press, 1990

    http://tog.acm.org/resources/GraphicsGems/gems/FitCurves.c
    http://tog.acm.org/resources/GraphicsGems/gems/README
*/

class FitVector {
public:
    FitVector(const QPointF &p)
    : m_X(p.x())
    , m_Y(p.y())
	{
    }

    FitVector()
    : m_X(0)
    , m_Y(0)
	{
    }

    FitVector(const QPointF &a, const QPointF &b)
    : m_X(a.x() - b.x())
    , m_Y(a.y() - b.y())
	{
    }

    void normalize() {
        qreal len = length();
        if (qFuzzyCompare(len, qreal(0.0))) {
            return;
        }
        m_X /= len; m_Y /= len;
    }

    void negate() {
        m_X = -m_X;
        m_Y = -m_Y;
    }

    void scale(qreal s) {
        qreal len = length();
        if (qFuzzyCompare(len, qreal(0.0))) {
            return;
        }
        m_X *= s / len;
        m_Y *= s / len;
    }

    qreal dot(const FitVector &v) const {
        return ((m_X*v.m_X) + (m_Y*v.m_Y));
    }

    qreal length() const {
        return (qreal) sqrt(m_X*m_X + m_Y*m_Y);
    }

    QPointF operator+(const QPointF &p) {
        QPointF b(p.x() + m_X, p.y() + m_Y);
        return b;
    }

public:
    qreal m_X, m_Y;
};

qreal distance(const QPointF &p1, const QPointF &p2)
{
    qreal dx = (p1.x() - p2.x());
    qreal dy = (p1.y() - p2.y());
    return sqrt(dx*dx + dy*dy);
}


FitVector ComputeLeftTangent(const QList<QPointF> &points, int end)
{
    FitVector tHat1(points.at(end + 1), points.at(end));

    tHat1.normalize();

    return tHat1;
}

FitVector ComputeRightTangent(const QList<QPointF> &points, int end)
{
    FitVector tHat1(points.at(end - 1), points.at(end));

    tHat1.normalize();

    return tHat1;
}

/*
 *  ChordLengthParameterize :
 *  Assign parameter values to digitized points
 *  using relative distances between points.
 */
static qreal *ChordLengthParameterize(const QList<QPointF> &points, int first, int last)
{
    int     i;
    qreal   *u;         /*  Parameterization        */

    u = new qreal[(last-first+1)];

    u[0] = 0.0;
    for (i = first + 1; i <= last; ++i) {
        u[i-first] = u[i-first-1] +
                     distance(points.at(i), points.at(i - 1));
    }

    qreal denominator = u[last-first];
    if (qFuzzyCompare(denominator, qreal(0.0))) {
        denominator = Zero;
    }

    for (i = first + 1; i <= last; ++i) {
        u[i-first] = u[i-first] / denominator;
    }

    return(u);
}

static FitVector VectorAdd(FitVector a, FitVector b)
{
    FitVector   c;
    c.m_X = a.m_X + b.m_X;  c.m_Y = a.m_Y + b.m_Y;
    return (c);
}
static FitVector VectorScale(FitVector v, qreal s)
{
    FitVector result;
    result.m_X = v.m_X * s; result.m_Y = v.m_Y * s;
    return (result);
}

static FitVector VectorSub(FitVector a, FitVector b)
{
    FitVector   c;
    c.m_X = a.m_X - b.m_X; c.m_Y = a.m_Y - b.m_Y;
    return (c);
}

static FitVector ComputeCenterTangent(const QList<QPointF> &points, int center)
{
    FitVector V1, V2, tHatCenter;

    FitVector cpointb(points.at(center - 1));
    FitVector cpoint(points.at(center));
    FitVector cpointa(points.at(center + 1));

    V1 = VectorSub(cpointb, cpoint);
    V2 = VectorSub(cpoint, cpointa);
    tHatCenter.m_X = ((V1.m_X + V2.m_X) / 2.0);
    tHatCenter.m_Y = ((V1.m_Y + V2.m_Y) / 2.0);
    tHatCenter.normalize();
    return tHatCenter;
}

/*
 *  B0, B1, B2, B3 :
 *  Bezier multipliers
 */
static qreal B0(qreal u)
{
    qreal tmp = 1.0 - u;
    return (tmp * tmp * tmp);
}


static qreal B1(qreal u)
{
    qreal tmp = 1.0 - u;
    return (3 * u *(tmp * tmp));
}

static qreal B2(qreal u)
{
    qreal tmp = 1.0 - u;
    return (3 * u * u * tmp);
}

static qreal B3(qreal u)
{
    return (u * u * u);
}

/*
 *  GenerateBezier :
 *  Use least-squares method to find Bezier control points for region.
 *
 */
QPointF* GenerateBezier(const QList<QPointF> &points, int first, int last, qreal *uPrime, FitVector tHat1, FitVector tHat2)
{
    int     i;
    int     nPts;           /* Number of pts in sub-curve */
    qreal   C[2][2];            /* Matrix C     */
    qreal   X[2];           /* Matrix X         */
    qreal   det_C0_C1,      /* Determinants of matrices */
    det_C0_X,
    det_X_C1;
    qreal   alpha_l,        /* Alpha values, left and right */
    alpha_r;
    FitVector   tmp;            /* Utility variable     */
    QPointF *curve;

    curve = new QPointF[4];
    nPts = last - first + 1;

    /* Precomputed rhs for eqn      */
    // FitVector A[nPts][2]
    QVector< QVector<FitVector> > A(nPts, QVector<FitVector>(2));

    /* Compute the A's  */
    for (i = 0; i < nPts; ++i) {
        FitVector v1, v2;
        v1 = tHat1;
        v2 = tHat2;
        v1.scale(B1(uPrime[i]));
        v2.scale(B2(uPrime[i]));
        A[i][0] = v1;
        A[i][1] = v2;
    }

    /* Create the C and X matrices  */
    C[0][0] = 0.0;
    C[0][1] = 0.0;
    C[1][0] = 0.0;
    C[1][1] = 0.0;
    X[0]    = 0.0;
    X[1]    = 0.0;

    for (i = 0; i < nPts; ++i) {
        C[0][0] += (A[i][0]).dot(A[i][0]);
        C[0][1] += A[i][0].dot(A[i][1]);
        /* C[1][0] += V2Dot(&A[i][0], &A[i][1]);*/
        C[1][0] = C[0][1];
        C[1][1] += A[i][1].dot(A[i][1]);

        FitVector vfirstp1(points.at(first + i));
        FitVector vfirst(points.at(first));
        FitVector vlast(points.at(last));

        tmp = VectorSub(vfirstp1,
                        VectorAdd(
                            VectorScale(vfirst, B0(uPrime[i])),
                            VectorAdd(
                                VectorScale(vfirst, B1(uPrime[i])),
                                VectorAdd(
                                    VectorScale(vlast, B2(uPrime[i])),
                                    VectorScale(vlast, B3(uPrime[i]))))));


        X[0] += A[i][0].dot(tmp);
        X[1] += A[i][1].dot(tmp);
    }

    /* Compute the determinants of C and X  */
    det_C0_C1 = C[0][0] * C[1][1] - C[1][0] * C[0][1];
    det_C0_X  = C[0][0] * X[1]    - C[0][1] * X[0];
    det_X_C1  = X[0]    * C[1][1] - X[1]    * C[0][1];

    /* Finally, derive alpha values */
    if (qFuzzyCompare(det_C0_C1, qreal(0.0))) {
        det_C0_C1 = (C[0][0] * C[1][1]) * 10e-12;
        if (qFuzzyCompare(det_C0_C1, qreal(0.0))) {
            det_C0_C1 = Zero;
        }
    }
    alpha_l = det_X_C1 / det_C0_C1;
    alpha_r = det_C0_X / det_C0_C1;


    /*  If alpha negative, use the Wu/Barsky heuristic (see text) */
    /* (if alpha is 0, you get coincident control points that lead to
     * divide by zero in any subsequent NewtonRaphsonRootFind() call. */
    if (alpha_l < 1.0e-6 || alpha_r < 1.0e-6) {
        qreal dist = distance(points.at(last), points.at(first)) / 3.0;

        curve[0] = points.at(first);
        curve[3] = points.at(last);

        tHat1.scale(dist);
        tHat2.scale(dist);

        curve[1] = tHat1 + curve[0];
        curve[2] = tHat2 + curve[3];
        return curve;
    }

    /*  First and last control points of the Bezier curve are */
    /*  positioned exactly at the first and last data points */
    /*  Control points 1 and 2 are positioned an alpha distance out */
    /*  on the tangent vectors, left and right, respectively */
    curve[0] = points.at(first);
    curve[3] = points.at(last);

    tHat1.scale(alpha_l);
    tHat2.scale(alpha_r);

    curve[1] = tHat1 + curve[0];
    curve[2] = tHat2 + curve[3];

    return (curve);
}

/*
 *  Bezier :
 *      Evaluate a Bezier curve at a particular parameter value
 *
 */
static QPointF BezierII(int degree, QPointF *V, qreal t)
{
    int     i, j;
    QPointF     Q;          /* Point on curve at parameter t    */
    QPointF     *Vtemp;     /* Local copy of control points     */

    Vtemp = new QPointF[degree+1];

    for (i = 0; i <= degree; ++i) {
        Vtemp[i] = V[i];
    }

    /* Triangle computation */
    for (i = 1; i <= degree; ++i) {
        for (j = 0; j <= degree - i; ++j) {
            Vtemp[j].setX((1.0 - t) * Vtemp[j].x() + t * Vtemp[j+1].x());
            Vtemp[j].setY((1.0 - t) * Vtemp[j].y() + t * Vtemp[j+1].y());
        }
    }

    Q = Vtemp[0];
    delete[] Vtemp;
    return Q;
}

/*
 *  ComputeMaxError :
 *  Find the maximum squared distance of digitized points
 *  to fitted curve.
*/
static qreal ComputeMaxError(const QList<QPointF> &points, int first, int last, QPointF *curve, qreal *u, int *splitPoint)
{
    int     i;
    qreal   maxDist;        /*  Maximum error       */
    qreal   dist;       /*  Current error       */
    QPointF P;          /*  Point on curve      */
    FitVector   v;          /*  Vector from point to curve  */

    *splitPoint = (last - first + 1) / 2;
    maxDist = 0.0;
    for (i = first + 1; i < last; ++i) {
        P = BezierII(3, curve, u[i-first]);
        v = VectorSub(P, points.at(i));
        dist = v.length();
        if (dist >= maxDist) {
            maxDist = dist;
            *splitPoint = i;
        }
    }
    return (maxDist);
}


/*
 *  NewtonRaphsonRootFind :
 *  Use Newton-Raphson iteration to find better root.
 */
static qreal NewtonRaphsonRootFind(QPointF *Q, QPointF P, qreal u)
{
    qreal       numerator, denominator;
    QPointF         Q1[3], Q2[2];   /*  Q' and Q''          */
    QPointF     Q_u, Q1_u, Q2_u; /*u evaluated at Q, Q', & Q''  */
    qreal       uPrime;     /*  Improved u          */
    int         i;

    /* Compute Q(u) */
    Q_u = BezierII(3, Q, u);

    /* Generate control vertices for Q' */
    for (i = 0; i <= 2; ++i) {
        Q1[i].setX((Q[i+1].x() - Q[i].x()) * 3.0);
        Q1[i].setY((Q[i+1].y() - Q[i].y()) * 3.0);
    }

    /* Generate control vertices for Q'' */
    for (i = 0; i <= 1; ++i) {
        Q2[i].setX((Q1[i+1].x() - Q1[i].x()) * 2.0);
        Q2[i].setY((Q1[i+1].y() - Q1[i].y()) * 2.0);
    }

    /* Compute Q'(u) and Q''(u) */
    Q1_u = BezierII(2, Q1, u);
    Q2_u = BezierII(1, Q2, u);

    /* Compute f(u)/f'(u) */
    numerator = (Q_u.x() - P.x()) * (Q1_u.x()) + (Q_u.y() - P.y()) * (Q1_u.y());
    denominator = (Q1_u.x()) * (Q1_u.x()) + (Q1_u.y()) * (Q1_u.y()) +
                  (Q_u.x() - P.x()) * (Q2_u.x()) + (Q_u.y() - P.y()) * (Q2_u.y());

    if (qFuzzyCompare(denominator, qreal(0.0))) {
        denominator = Zero;
    }

    /* u = u - f(u)/f'(u) */
    uPrime = u - (numerator / denominator);
    return (uPrime);
}

/*
 *  Reparameterize:
 *  Given set of points and their parameterization, try to find
 *   a better parameterization.
 *
 */
static qreal *Reparameterize(const QList<QPointF> &points, int first, int last, qreal *u, QPointF *curve)
{
    int     nPts = last - first + 1;
    int     i;
    qreal   *uPrime;        /*  New parameter values    */

    uPrime = new qreal[nPts];
    for (i = first; i <= last; ++i) {
        uPrime[i-first] = NewtonRaphsonRootFind(curve, points.at(i), u[i-first]);
    }
    return (uPrime);
}

QPointF *FitCubic(const QList<QPointF> &points, int first, int last, FitVector tHat1, FitVector tHat2, float error, int &width)
{
    qreal *u;
    qreal *uPrime;
    qreal maxError;
    int splitPoint;
    int nPts;
    qreal iterationError;
    int maxIterations = 4;
    FitVector tHatCenter;
    QPointF *curve;
    int i;

    width = 0;


    iterationError = error * error;
    nPts = last - first + 1;

    if (nPts == 2) {
        qreal dist = distance(points.at(last), points.at(first)) / 3.0;

        curve = new QPointF[4];

        curve[0] = points.at(first);
        curve[3] = points.at(last);

        tHat1.scale(dist);
        tHat2.scale(dist);

        curve[1] = tHat1 + curve[0];
        curve[2] = tHat2 + curve[3];

        width = 4;
        return curve;
    }

    /*  Parameterize points, and attempt to fit curve */
    u = ChordLengthParameterize(points, first, last);
    curve = GenerateBezier(points, first, last, u, tHat1, tHat2);


    /*  Find max deviation of points to fitted curve */
    maxError = ComputeMaxError(points, first, last, curve, u, &splitPoint);
    if (maxError < error) {
        delete[] u;
        width = 4;
        return curve;
    }


    /*  If error not too large, try some reparameterization  */
    /*  and iteration */
    if (maxError < iterationError) {
        for (i = 0; i < maxIterations; ++i) {
            uPrime = Reparameterize(points, first, last, u, curve);
            delete[] curve;
            curve = GenerateBezier(points, first, last, uPrime, tHat1, tHat2);
            maxError = ComputeMaxError(points, first, last,
                                       curve, uPrime, &splitPoint);
            if (maxError < error) {
                delete[] u;
                delete[] uPrime;
                width = 4;
                return curve;
            }
            delete[] u;
            u = uPrime;
        }
    }

    /* Fitting failed -- split at max error point and fit recursively */
    delete[] u;
    delete[] curve;
    tHatCenter = ComputeCenterTangent(points, splitPoint);

    int w1, w2;
    QPointF *cu1 = 0, *cu2 = 0;
    cu1 = FitCubic(points, first, splitPoint, tHat1, tHatCenter, error, w1);

    tHatCenter.negate();
    cu2 = FitCubic(points, splitPoint, last, tHatCenter, tHat2, error, w2);

    QPointF *newcurve = new QPointF[w1+w2];
    for (int i = 0; i < w1; ++i) {
        newcurve[i] = cu1[i];
    }
    for (int i = 0; i < w2; ++i) {
        newcurve[i+w1] = cu2[i];
    }

    delete[] cu1;
    delete[] cu2;
    width = w1 + w2;
    return newcurve;
}


KoPathShape * bezierFit(const QList<QPointF> &points, float error)
{
    FitVector tHat1, tHat2;

    tHat1 = ComputeLeftTangent(points, 0);
    tHat2 = ComputeRightTangent(points, points.count() - 1);

    int width = 0;
    QPointF *curve;
    curve = FitCubic(points, 0, points.count() - 1, tHat1, tHat2, error, width);

    KoPathShape * path = new KoPathShape();

    if (width > 3) {
        path->moveTo(curve[0]);
        path->curveTo(curve[1], curve[2], curve[3]);
        for (int i = 4; i < width; i += 4) {
            path->curveTo(curve[i+1], curve[i+2], curve[i+3]);
        }
    }

    delete[] curve;
    return path;
}

