import gen_marching_cubes_conf as gen
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import axes3d
import random


def split_pt_list(pts):
    splitted = [[], [], []]
    for point in pts:
        for i in range(3):
            splitted[i].append(point[i])
    return splitted


def pt_of_edge(edge):
    def avg(val0, val1):
        return (val0 + val1) / 2

    vert0 = edge.vert[0]
    vert1 = edge.vert[1]

    return (avg(vert0[0], vert1[0]),
            avg(vert0[1], vert1[1]),
            avg(vert0[2], vert1[2]))


def tri_repr(tri, subplt):
    pts = [pt_of_edge(tri[i]) for i in range(3)]

    x_val, y_val, z_val = split_pt_list(pts)
    x_val = [val + random.random() / 10**5 for val in x_val]
    y_val = [val + random.random() / 10**5 for val in y_val]

    subplt.plot_trisurf(x_val, y_val, z_val)


def display_case(tri_cube):
    figure = plt.figure()
    subplt = figure.add_subplot(111, projection='3d')

    actives = split_pt_list(list(tri_cube.activated))
    inactives = split_pt_list(list(tri_cube.non_activated))

    subplt.scatter3D(actives[0], actives[1], actives[2],
                     c='r', marker='o')
    subplt.scatter3D(inactives[0], inactives[1], inactives[2],
                     c='b', marker='.')

    for triangle in tri_cube.triangles:
        tri_repr(triangle, subplt)

    plt.show()


index = gen.gen_index(gen.BASE_CASES)