# -*- coding: utf-8 -*-
#  This software and supporting documentation are distributed by
#      Institut Federatif de Recherche 49
#      CEA/NeuroSpin, Batiment 145,
#      91191 Gif-sur-Yvette cedex
#      France
#
# This software is governed by the CeCILL license version 2 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 version 2 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
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# encouraged to load and test the software's suitability as regards their
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# same conditions as regards security.
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# The fact that you are presently reading this means that you have had
# knowledge of the CeCILL license version 2 and that you accept its terms.

from brainvisa.processes import *
import subprocess, re

def validation():
    try:
        from soma import aims
    except Exception, e:
        raise ValidationError( _t_( 'soma.aims module cannot be imported: ' ) \
            +  str(e) )

name = 'Reset internal image transformation'
userLevel = 1

signature = Signature(
    'input_image', ReadDiskItem( "4D Volume",
        'aims readable volume formats' ),
    'output_image', WriteDiskItem( "4D Volume",
        'aims writable volume formats' ),
    'origin', Choice( ( 'Center of the image', 0 ), ( 'Gravity center', 1 ) ),
)


def initialization( self ):
    self.linkParameters( 'output_image', 'input_image' )


def execution( self, context ):
    from soma import aims
    vol = aims.read( self.input_image.fullPath() )
    h = vol.header()
    refs = [ 'Scanner-based anatomical coordinates' ]
    vs = h[ 'voxel_size' ][:3]
    tr = -aims.AffineTransformation3d()
    if self.origin == 0:
        tr.setTranslation( [ vol.getSizeX() * vs[0] / 2,
            vol.getSizeY() * vs[1] / 2, vol.getSizeZ() * vs[2] / 2,  ] )
    else:
        p = subprocess.Popen( [ 'AimsMassCenter',
            self.input_image.fullPath() ], stdout=subprocess.PIPE,
            shell=False )
        pout = p.communicate()[0]
        if p.returncode != 0:
            raise RuntimeError( 'AimsMassCenter failed' )
        m = re.search( '^General:\t([^\t]+)\t([^\t]+)\t([^\t]+)', pout, re.M )
        tr.setTranslation( [ float(x) * v for x,v in zip( m.groups(), vs ) ] )
    trans = [ tr.toVector() ]
    h[ 'referentials' ] = refs
    h[ 'transformations' ] = trans
    aims.write( vol, self.output_image.fullPath() )