The Virtual Brain Project

Source code for tvb.adapters.uploaders.gifti_timeseries_importer

# -*- 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
# (c) 2012-2017, 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,
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# 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.
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.. moduleauthor:: Calin Pavel <>
from tvb.adapters.uploaders.abcuploader import ABCUploader
from tvb.core.adapters.exceptions import LaunchException, ParseException
from tvb.adapters.uploaders.gifti.parser import GIFTIParser
from tvb.basic.logger.builder import get_logger
from tvb.datatypes.time_series import TimeSeriesSurface
from tvb.datatypes.surfaces import CorticalSurface

[docs]class GIFTITimeSeriesImporter(ABCUploader): """ This importer is responsible for import of a TimeSeries from GIFTI format (XML file) and store them in TVB. """ _ui_name = "TimeSeries GIFTI" _ui_subsection = "gifti_timeseries_importer" _ui_description = "Import TimeSeries from GIFTI"
[docs] def get_upload_input_tree(self): """ Take as input a .GII file. """ return [{'name': 'data_file', 'type': 'upload', 'required_type': '.gii', 'label': 'Please select file to import (.gii)', 'required': True}, {'name': 'surface', 'label': 'Brain Surface', 'type': CorticalSurface, 'required': True, 'description': 'The Brain Surface used to generate imported TimeSeries.'} ]
[docs] def get_output(self): return [TimeSeriesSurface]
[docs] def launch(self, data_file, surface=None): """ Execute import operations: """ if surface is None: raise LaunchException("No surface selected. Please initiate upload again and select a brain surface.") parser = GIFTIParser(self.storage_path, self.operation_id) try: time_series = parser.parse(data_file) ts_data_shape = time_series.read_data_shape() if surface.number_of_vertices != ts_data_shape[1]: msg = "Imported time series doesn't have values for all surface vertices. Surface has %d vertices " \ "while time series has %d values." % (surface.number_of_vertices, ts_data_shape[1]) raise LaunchException(msg) else: time_series.surface = surface return [time_series] except ParseException as excep: logger = get_logger(__name__) logger.exception(excep) raise LaunchException(excep)