# -*- coding: utf-8 -*-
#
#
# TheVirtualBrain-Framework Package. This package holds all Data Management, and
# Web-UI helpful to run brain-simulations. To use it, you also need do download
# TheVirtualBrain-Scientific Package (for simulators). See content of the
# documentation-folder for more details. See also http://www.thevirtualbrain.org
#
# (c) 2012-2022, Baycrest Centre for Geriatric Care ("Baycrest") and others
#
# This program is free software: you can redistribute it and/or modify it under the
# terms of the GNU General Public License as published by the Free Software Foundation,
# either version 3 of the License, or (at your option) any later version.
# This program is distributed in the hope that it will be useful, but WITHOUT ANY
# WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A
# PARTICULAR PURPOSE.  See the GNU General Public License for more details.
# You should have received a copy of the GNU General Public License along with this
# program.  If not, see <http://www.gnu.org/licenses/>.
#
#
#   CITATION:
# When using The Virtual Brain for scientific publications, please cite it as follows:
#
#   Paula Sanz Leon, Stuart A. Knock, M. Marmaduke Woodman, Lia Domide,
#   Jochen Mersmann, Anthony R. McIntosh, Viktor Jirsa (2013)
#       The Virtual Brain: a simulator of primate brain network dynamics.
#   Frontiers in Neuroinformatics (7:10. doi: 10.3389/fninf.2013.00010)
#
#
import json
from sqlalchemy import Column, Integer, ForeignKey, String
from tvb.core.entities.model.model_datatype import DataType
from tvb.datatypes.volumes import Volume


class VolumeIndex(DataType):
    id = Column(Integer, ForeignKey(DataType.id), primary_key=True)

    voxel_unit = Column(String, nullable=False)
    voxel_size = Column(String, nullable=False)
    origin = Column(String, nullable=False)

    def fill_from_has_traits(self, datatype):
        # type: (Volume)  -> None
        super(VolumeIndex, self).fill_from_has_traits(datatype)
        self.voxel_unit = datatype.voxel_unit
        self.voxel_size = json.dumps(datatype.voxel_size.tolist())
        self.origin = json.dumps(datatype.origin.tolist())

    @property
    def parsed_voxel_size(self):
        try:
            return json.loads(self.voxel_size)
        except:
            return []

    @property
    def parsed_origin(self):
        try:
            return json.loads(self.origin)
        except:
            return []
