# -*- coding: utf-8 -*-
#!===========================================================================
#!
#! Copyright 2000-2011 CNRS.
#!
#! This file is part of a software (dicom2stl) which is a computer program 
#! which purpose is to modelize interaction problems (contact, multi-Physics,etc).
#!
#! This software is governed by the CeCILL license under French law and
#! abiding by the rules of distribution of free software.  You can  use, 
#! modify and/ or redistribute the software under the terms of the CeCILL
#! license as circulated by CEA, CNRS and INRIA at the following URL
#! "http://www.cecill.info". 
#!
#! As a counterpart to the access to the source code and  rights to copy,
#! modify and redistribute granted by the license, users are provided only
#! with a limited warranty  and the software's author,  the holder of the
#! economic rights,  and the successive licensors  have only  limited
#! liability. 
#!
#! In this respect, the user's attention is drawn to the risks associated
#! with loading,  using,  modifying and/or developing or reproducing the
#! software by the user in light of its specific status of free software,
#! that may mean  that it is complicated to manipulate,  and  that  also
#! therefore means  that it is reserved for developers  and  experienced
#! professionals having in-depth computer knowledge. Users are therefore
#! encouraged to load and test the software's suitability as regards their
#! requirements in conditions enabling the security of their systems and/or 
#! data to be ensured and,  more generally, to use and operate it in the 
#! same conditions as regards security. 
#!
#! The fact that you are presently reading this means that you have had
#! knowledge of the CeCILL license and that you accept its terms.
#!
#! To report bugs, suggest enhancements, etc. to the Authors, contact
#! Dominique Ambard.
#!
#! dominique.ambard@um2.fr
#!
#!===========================================================================

#~ from vtk.vtkCommonPython import vtkIntArray
#~ from vtk.vtkFilteringPython import vtkDataObject
#~ from vtk.vtkHybridPython import vtkBarChartActor
#~ import vtk.vtkIOPython
#~ import vtk
#~ from vtk.vtkImagingPython import vtkImageMagnitude, vtkImageAccumulate
#~ from vtk.vtkRenderingPython import vtkRenderer, vtkRenderWindow, vtkRenderWindowInteractor
#~ 
#~ from vtk.util.numpy_support import vtk_to_numpy as vtk_to_np 
#~ import numpy as np
#~ import pylab as pl
#~ import os
#~ 
#~ 
#~ # Read the source file.
#~ reader = vtk.vtkUnstructuredGridReader()
#~ reader.SetFileName(os.getcwd() + '/gmsh/SurfaceMesh.vtk')
#~ reader.Update() # Needed because of GetScalarRange
#~ output = reader.GetOutput()


#!/usr/bin/env python
 
'''
The purpose of this is to demonstrate how to get the Gaussian and Mean curvatures of a surface.
 
Two different surfaces are used in this demonstration with each surface coloured according
 to its Gaussian and Mean curvatures.
 
The first surface is a superquadric surface, this demonstrates the use of extra filters
 that are needed to get a nice smooth surface.
 
The second surface is a parametric surface, in this case the surface has already been triangulated
so no extra processing is necessary.
 
In order to get a nice coloured image, a vtkColorTransferFunction has been used to generate
 a set of colours for the vtkLookUp tables. We have used a diverging colour space similar 
 to that in ParaView.
Because of the symmetry of the ranges selected for the lookup tables, the white colouration
 represents a midpoint value whilst the blue represents values less than the midopoint value
 and red represents colours greater than the midpoint value.
 
In the case of the Random Hills Gaussian Curvature surface, this colouration shows the nature 
 of the surface quite nicely. The blue areas are saddle points (negative Gaussian curvature) 
 and the red areas have a positive Gaussian curvature.  In the case of the mean curvature the 
 blue colouration is representing negative curvature perpendicular to one of the principal axes.
 
This example also demonstrates the use of lists and the linking of the elements of the 
 lists together to form a pipeline. 
 
'''
import vtk
 
class CurvaturesDemo():
 
    def CurvaturesDemo(self):
 
        # We are going to handle two different sources.
        # The first source is a superquadric source.
        torus = vtk.vtkSuperquadricSource();
        torus.SetCenter(0.0, 0.0, 0.0)
        torus.SetScale(1.0, 1.0, 1.0)
        torus.SetPhiResolution (64)
        torus.SetThetaResolution(64)
        torus.SetThetaRoundness (1)
        torus.SetThickness (0.5)
        torus.SetSize(0.5)
        torus.SetToroidal(1) 
 
        # Rotate the torus towards the observer (around the x-axis)
        torusT = vtk.vtkTransform()
        torusT.RotateX(55)
 
        torusTF = vtk.vtkTransformFilter()
        torusTF.SetInputConnection(torus.GetOutputPort())
        torusTF.SetTransform(torusT)
 
        # The quadric is made of strips, so pass it through a triangle filter as
        # the curvature filter only operates on polys
        tri = vtk.vtkTriangleFilter()
        tri.SetInputConnection(torusTF.GetOutputPort())
 
        # The quadric has nasty discontinuities from the way the edges are generated
        # so let's pass it though a CleanPolyDataFilter and merge any points which
        # are coincident, or very close
 
        cleaner = vtk.vtkCleanPolyData()
        cleaner.SetInputConnection(tri.GetOutputPort())
        cleaner.SetTolerance(0.005)
 
        # The next source will be a parametric function
        rh = vtk.vtkParametricRandomHills()
        rhFnSrc = vtk.vtkParametricFunctionSource()
        rhFnSrc.SetParametricFunction(rh)
 
        # Now we have the sources, lets put them into a list.
        sources = list()
        sources.append(cleaner)
        sources.append(cleaner)
        sources.append(rhFnSrc)
        sources.append(rhFnSrc)
 
        # Colour transfer function.
        ctf = vtk.vtkColorTransferFunction()
        ctf.SetColorSpaceToDiverging()
        ctf.AddRGBPoint(0.0, 0.230, 0.299, 0.754)
        ctf.AddRGBPoint(1.0, 0.706, 0.016, 0.150)
        cc = list()
        for i in range(256):
            cc.append(ctf.GetColor(float(i) / 255.0)) 
 
        # Lookup table.
        lut = list()
        for idx in range(len(sources)):
            lut.append(vtk.vtkLookupTable())
            lut[idx].SetNumberOfColors(256)
            for i, item in enumerate(cc):
                lut[idx].SetTableValue(i, item[0], item[1], item[2], 1.0)
            if idx == 0:
                lut[idx].SetRange(-10, 10)
            if idx == 1:
                lut[idx].SetRange(0, 4)
            if idx == 2:
                lut[idx].SetRange(-1, 1)
            if idx == 3:
                lut[idx].SetRange(-1, 1)
            lut[idx].Build()
 
        curvatures = list()        
        for idx in range(len(sources)):
            curvatures.append(vtk.vtkCurvatures())
            if idx % 2 == 0:
                curvatures[idx].SetCurvatureTypeToGaussian()
            else:
                curvatures[idx].SetCurvatureTypeToMean()
 
        renderers = list()
        mappers = list()
        actors = list()
        textmappers = list()
        textactors = list()
 
        # Create a common text property.
        textProperty = vtk.vtkTextProperty()
        textProperty.SetFontSize(10)
        textProperty.SetJustificationToCentered()
 
        names = ['Torus - Gaussian Curvature', 'Torus - Mean Curvature', 'Random Hills - Gaussian Curvature', 'Random Hills - Mean Curvature']
 
        # Link the pipeline together. 
        for idx, item in enumerate(sources):
            sources[idx].Update()
 
            curvatures[idx].SetInputConnection(sources[idx].GetOutputPort())
 
            mappers.append(vtk.vtkPolyDataMapper())
            mappers[idx].SetInputConnection(curvatures[idx].GetOutputPort())
            mappers[idx].SetLookupTable(lut[idx])
            mappers[idx].SetUseLookupTableScalarRange(1)
 
            actors.append(vtk.vtkActor())
            actors[idx].SetMapper(mappers[idx])
 
            textmappers.append(vtk.vtkTextMapper())
            textmappers[idx].SetInput(names[idx])
            textmappers[idx].SetTextProperty(textProperty)
 
            textactors.append(vtk.vtkActor2D())
            textactors[idx].SetMapper(textmappers[idx])
            textactors[idx].SetPosition(150, 16)
 
            renderers.append(vtk.vtkRenderer())
 
        gridDimensions = 2
 
        for idx in range(len(sources)):
            if idx < gridDimensions * gridDimensions:
                renderers.append(vtk.vtkRenderer)
 
        rendererSize = 300
 
        # Create the RenderWindow
        #
        renderWindow = vtk.vtkRenderWindow()
        renderWindow.SetSize(rendererSize * gridDimensions, rendererSize * gridDimensions)
 
        # Add and position the renders to the render window.
        viewport = list()
        for row in range(gridDimensions):
            for col in range(gridDimensions):
                idx = row * gridDimensions + col
 
                viewport[:] = []
                viewport.append(float(col) * rendererSize / (gridDimensions * rendererSize))
                viewport.append(float(gridDimensions - (row+1)) * rendererSize / (gridDimensions * rendererSize))
                viewport.append(float(col+1)*rendererSize / (gridDimensions * rendererSize))
                viewport.append(float(gridDimensions - row) * rendererSize / (gridDimensions * rendererSize))
 
                if idx > (len(sources) - 1):
                    continue
 
                renderers[idx].SetViewport(viewport)
                renderWindow.AddRenderer(renderers[idx])
 
                renderers[idx].AddActor(actors[idx])
                renderers[idx].AddActor(textactors[idx])
                renderers[idx].SetBackground(0.4,0.3,0.2)
 
        interactor = vtk.vtkRenderWindowInteractor()
        interactor.SetRenderWindow(renderWindow)
 
        renderWindow.Render()
 
        interactor.Start()
 
if __name__ == "__main__":
    po = CurvaturesDemo()
    po.CurvaturesDemo()
