# -*- coding: utf-8 -*-
"""
$Id$

Copyright 2010 Lars Kruse <devel@sumpfralle.de>

This file is part of PyCAM.

PyCAM is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.

PyCAM 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 General Public License for more details.

You should have received a copy of the GNU General Public License
along with PyCAM.  If not, see <http://www.gnu.org/licenses/>.
"""

# various matrix related functions for PyCAM


from pycam.Geometry.PointUtils import *
from pycam.Geometry.utils import sqrt, number, epsilon
import math


TRANSFORMATIONS = {
    "normal": ((1, 0, 0, 0), (0, 1, 0, 0), (0, 0, 1, 0)),
    "x": ((1, 0, 0, 0), (0, 0, 1, 0), (0, -1, 0, 0)),
    "y": ((0, 0, -1, 0), (0, 1, 0, 0), (1, 0, 0, 0)),
    "z": ((0, 1, 0, 0), (-1, 0, 0, 0), (0, 0, 1, 0)),
    "x_swap_y": ((0, 1, 0, 0), (1, 0, 0, 0), (0, 0, 1, 0)),
    "x_swap_z": ((0, 0, 1, 0), (0, 1, 0, 0), (1, 0, 0, 0)),
    "y_swap_z": ((1, 0, 0, 0), (0, 0, 1, 0), (0, 1, 0, 0)),
    "xy_mirror": ((1, 0, 0, 0), (0, 1, 0, 0), (0, 0, -1, 0)),
    "xz_mirror": ((1, 0, 0, 0), (0, -1, 0, 0), (0, 0, 1, 0)),
    "yz_mirror": ((-1, 0, 0, 0), (0, 1, 0, 0), (0, 0, 1, 0)),
}


def get_dot_product(a, b):
    """ calculate the dot product of two 3d vectors

    @type a: tuple(float) | list(float)
    @value a: the first vector to be multiplied
    @type b: tuple(float) | list(float)
    @value b: the second vector to be multiplied
    @rtype: float
    @return: the dot product is (a0*b0 + a1*b1 + a2*b2)
    """
    return sum(l1 * l2 for l1, l2 in zip(a, b))


def get_length(vector):
    """ calculate the lengt of a 3d vector

    @type vector: tuple(float) | list(float)
    @value vector: the given 3d vector
    @rtype: float
    @return: the length of a vector is the square root of the dot product
        of the vector with itself
    """
    return sqrt(get_dot_product(vector, vector))

def get_rotation_matrix_from_to(v_orig, v_dest):
    """ calculate the rotation matrix used to transform one vector into another
    
    The result is useful for modifying the rotation matrix of a 3d object.
    See the "extend_shape" code in each of the cutter classes (for ODE).
    The simplest example is the following with the original vector pointing
    along the x axis, while the destination vectors goes along the y axis:
        get_rotation_matrix((1, 0, 0), (0, 1, 0))
    Basically this describes a rotation around the z axis by 90 degrees.
    The resulting 3x3 matrix (tuple of tuple of floats) can be multiplied with
    any other vector to rotate it in the same way around the z axis.
    @type v_orig: tuple(float) | list(float) | pycam.Geometry.Point
    @value v_orig: the original 3d vector
    @type v_dest: tuple(float) | list(float) | pycam.Geometry.Point
    @value v_dest: the destination 3d vector
    @rtype: tuple(tuple(float))
    @return: the roation matrix (3x3)
    """

    v_orig_length = get_length(v_orig)
    v_dest_length = get_length(v_dest)
    cross_product = get_length(pcross(v_orig, v_dest))
    try:
        arcsin = cross_product / (v_orig_length * v_dest_length)
    except ZeroDivisionError:
        return None
    # prevent float inaccuracies to crash the calculation (within limits)
    if 1 < arcsin < 1 + epsilon:
        arcsin = 1.0
    elif -1 - epsilon < arcsin < -1:
        arcsin = -1.0
    rot_angle = math.asin(arcsin)
    # calculate the rotation axis
    # The rotation axis is equal to the cross product of the original and
    # destination vectors.
    rot_axis = pnormalized((v_orig[1] * v_dest[2] - v_orig[2] * v_dest[1],
            v_orig[2] * v_dest[0] - v_orig[0] * v_dest[2],
            v_orig[0] * v_dest[1] - v_orig[1] * v_dest[0]))
    if not rot_axis:
        return None
    # get the rotation matrix
    # see http://www.fastgraph.com/makegames/3drotation/
    c = math.cos(rot_angle)
    s = math.sin(rot_angle)
    t = 1 - c
    return ((t * rot_axis[0] * rot_axis[0] + c,
            t * rot_axis[0] * rot_axis[1] - s * rot_axis[2],
            t * rot_axis[0] * rot_axis[2] + s * rot_axis[1]),
            (t * rot_axis[0] * rot_axis[1] + s * rot_axis[2],
            t * rot_axis[1] * rot_axis[1] + c,
            t * rot_axis[1] * rot_axis[2] - s * rot_axis[0]),
            (t * rot_axis[0] * rot_axis[2] - s * rot_axis[1],
            t * rot_axis[1] * rot_axis[2] + s * rot_axis[0],
            t * rot_axis[2] * rot_axis[2] + c))

def get_rotation_matrix_axis_angle(rot_axis, rot_angle, use_radians=True):
    """ calculate rotation matrix for a normalized vector and an angle

    see http://mathworld.wolfram.com/RotationMatrix.html
    @type rot_axis: tuple(float)
    @value rot_axis: the vector describes the rotation axis. Its length should
        be 1.0 (normalized).
    @type rot_angle: float
    @value rot_angle: rotation angle (radiant)
    @rtype: tuple(tuple(float))
    @return: the roation matrix (3x3)
    """
    if not use_radians:
        rot_angle *= math.pi / 180
    sin = number(math.sin(rot_angle))
    cos = number(math.cos(rot_angle))
    return ((cos + rot_axis[0]*rot_axis[0]*(1-cos),
            rot_axis[0]*rot_axis[1]*(1-cos) - rot_axis[2]*sin,
            rot_axis[0]*rot_axis[2]*(1-cos) + rot_axis[1]*sin),
            (rot_axis[1]*rot_axis[0]*(1-cos) + rot_axis[2]*sin,
            cos + rot_axis[1]*rot_axis[1]*(1-cos),
            rot_axis[1]*rot_axis[2]*(1-cos) - rot_axis[0]*sin),
            (rot_axis[2]*rot_axis[0]*(1-cos) - rot_axis[1]*sin,
            rot_axis[2]*rot_axis[1]*(1-cos) + rot_axis[0]*sin,
            cos + rot_axis[2]*rot_axis[2]*(1-cos)))

def multiply_vector_matrix(v, m):
    """ Multiply a 3d vector with a 3x3 matrix. The result is a 3d vector.

    @type v: tuple(float) | list(float)
    @value v: a 3d vector as tuple or list containing three floats
    @type m: tuple(tuple(float)) | list(list(float))
    @value m: a 3x3 list/tuple of floats
    @rtype: tuple(float)
    @return: a tuple of 3 floats as the matrix product
    """
    if len(m) == 9:
        m = [number(value) for value in m]
        m = ((m[0], m[1], m[2]), (m[3], m[4], m[5]), (m[6], m[7], m[8]))
    else:
        new_m = []
        for column in m:
            new_m.append([number(value) for value in column])
    v = [number(value) for value in v]
    return (v[0] * m[0][0] + v[1] * m[0][1] + v[2] * m[0][2],
            v[0] * m[1][0] + v[1] * m[1][1] + v[2] * m[1][2],
            v[0] * m[2][0] + v[1] * m[2][1] + v[2] * m[2][2])

def multiply_matrix_matrix(m1, m2):
    def multi(row1, col2):
        return (m1[row1][0] * m2[0][col2] + m1[row1][1] * m2[1][col2] \
                + m1[row1][2] * m2[2][col2])
    return  ((multi(0, 0), multi(0, 1), multi(0, 2)),
            (multi(1, 0), multi(1, 1), multi(1, 2)),
            (multi(2, 0), multi(2, 1), multi(2, 2)))

def get_inverse_matrix(m):
    _a = m[1][1] * m[2][2] - m[1][2] * m[2][1]
    _b = m[0][2] * m[2][1] - m[0][1] * m[2][2]
    _c = m[0][1] * m[1][2] - m[0][2] * m[1][1]
    _d = m[1][2] * m[2][0] - m[1][0] * m[2][2]
    _e = m[0][0] * m[2][2] - m[0][2] * m[2][0]
    _f = m[0][2] * m[1][0] - m[0][0] * m[1][2]
    _g = m[1][0] * m[2][1] - m[1][1] * m[2][0]
    _h = m[0][1] * m[2][0] - m[0][0] * m[2][1]
    _k = m[0][0] * m[1][1] - m[0][1] * m[1][0]
    det = m[0][0] * _a + m[0][1] * _d + m[0][2] * _g
    if det == 0:
        return None
    else:
        return ((_a / det, _b / det, _c / det),
                (_d / det, _e / det, _f / det),
                (_g / det, _h / det, _k / det))

