#!/usr/bin/env python

import gudhi
import argparse

""" This file is part of the Gudhi Library - https://gudhi.inria.fr/ - which is released under MIT.
    See file LICENSE or go to https://gudhi.inria.fr/licensing/ for full license details.
    Author(s):       Vincent Rouvreau

    Copyright (C) 2018 Inria

    Modification(s):
      - YYYY/MM Author: Description of the modification
"""

__author__ = "Vincent Rouvreau"
__copyright__ = "Copyright (C) 2018 Inria"
__license__ = "MIT"

parser = argparse.ArgumentParser(description='Voronoi GIC '
                                 'from points read in a OFF file.',
                                 epilog='Example: '
                                 'example/voronoi_graph_induced_complex.py '
                                 '-f ../data/points/human.off -n 700 -v'
                                 '- Constructs the Voronoi GIC with the '
                                 'points from the given OFF file.')
parser.add_argument("-f", "--file", type=str, required=True)
parser.add_argument("-n", "--subsample-nb-points", type=int, default=100)
parser.add_argument("-v", "--verbose", default=False, action='store_true' , help='Flag for program verbosity')

args = parser.parse_args()

nerve_complex = gudhi.CoverComplex()
nerve_complex.set_verbose(args.verbose)

if (nerve_complex.read_point_cloud(args.file)):
    nerve_complex.set_type('GIC')
    nerve_complex.set_color_from_coordinate()
    nerve_complex.set_graph_from_OFF()
    nerve_complex.set_cover_from_Voronoi(args.subsample_nb_points)
    nerve_complex.find_simplices()
    nerve_complex.plot_off()
    simplex_tree = nerve_complex.create_simplex_tree()
    nerve_complex.compute_PD()
    if (args.verbose):
        print('Iterator on graph induced complex simplices')
        result_str = 'Graph induced complex is of dimension ' + \
            repr(simplex_tree.dimension()) + ' - ' + \
            repr(simplex_tree.num_simplices()) + ' simplices - ' + \
            repr(simplex_tree.num_vertices()) + ' vertices.'
        print(result_str)
        for filtered_value in simplex_tree.get_filtration():
            print(filtered_value[0])