"""
Viewing Stanford 3D Scanning Repository dragon model
"""
# Copyright (c) 2014, Enthought, Inc.
# Standard library imports
import os
from os.path import join

# Enthought library imports
from mayavi import mlab

### Download the dragon data, if not already on disk ############################
if not os.path.exists('dragon.tar.gz'):
    # Download the data
    import urllib
    print "Downloading dragon model, Please Wait (11MB)"
    opener = urllib.urlopen(
            'http://graphics.stanford.edu/pub/3Dscanrep/dragon/dragon_recon.tar.gz')
    open('dragon.tar.gz', 'wb').write(opener.read())

# Extract the data
import tarfile
dragon_tar_file = tarfile.open('dragon.tar.gz')
try:
    os.mkdir('dragon_data')
except:
    pass
dragon_tar_file.extractall('dragon_data')
dragon_tar_file.close()

# Path to the dragon ply file
dragon_ply_file = join('dragon_data', 'dragon_recon', 'dragon_vrip.ply')

# Render the dragon ply file
mlab.pipeline.surface(mlab.pipeline.open(dragon_ply_file))
mlab.show()

import shutil
shutil.rmtree('dragon_data')
