#  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
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# terms of the CeCILL license version 2 as circulated by CEA, CNRS
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from brainvisa.processes import *
import registration

name = 'Sulci Switch Manual Labels'
userLevel = 1


signature = Signature(
  'input_graph', ReadDiskItem( "Data graph", 'Graph',
        requiredAttributes = { 'labelled' : 'Yes' } ),
  'output_graph', WriteDiskItem( "Data graph", 'Graph',
        requiredAttributes = { 'labelled' : 'Yes' } ),
  #'conversion_direction', Choice( 'Auto -> Manual', 'Manual -> Auto' ),
)


def initialization( self ):
  def linkLabelAttribute( self, process ):
    la = None
    if self.input_graph:
      la = self.input_graph.get( 'manually_labelled', None )
      if la == 'Yes':
        la = 'automatically_labelled'
        nola = 'manually_labelled'
      else:
        la = self.input_graph.get( 'automatically_labelled', None )
        if la == 'Yes':
          la = 'manually_labelled'
          nola = 'automatically_labelled'
        else:
          la = None
    if la:
      di = WriteDiskItem( "Data graph", 'Graph',
        requiredAttributes = { 'labelled' : 'Yes', la : 'Yes', nola : 'No' } )
    else:
      di = WriteDiskItem( "Data graph", 'Graph',
        requiredAttributes = { 'labelled' : 'Yes' } )
    #print 'link:', di.findValue( self.input_graph )
    return di.findValue( self.input_graph )
  self.linkParameters( 'output_graph', 'input_graph', linkLabelAttribute )

def execution( self, context ):
  la = self.input_graph.get( 'manually_labelled', None )
  if la == 'Yes':
    src = 'name'
  else:
    src = 'label'
  la = self.output_graph.get( 'manually_labelled', None )
  if la == 'Yes':
    dst = 'name'
  else:
    dst = 'label'
  context.system( 'AimsGraphConvert', '-i', self.input_graph, '-o',
    self.output_graph, '-c', src, '-d', dst )
  trManager = registration.getTransformationManager()
  trManager.copyReferential( self.input_graph, self.output_graph )