Source code for tvb.adapters.uploaders.sensors_importer
# -*- coding: utf-8 -*-
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# TheVirtualBrain-Framework Package. This package holds all Data Management, and
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"""
.. moduleauthor:: Bogdan Neacsa <bogdan.neacsa@codemart.ro>
"""
from tvb.adapters.datatypes.db.sensors import SensorsIndex
from tvb.basic.logger.builder import get_logger
from tvb.basic.neotraits.api import EnumAttr
from tvb.core.adapters.exceptions import LaunchException
from tvb.core.adapters.abcuploader import ABCUploader, ABCUploaderForm
from tvb.core.neotraits.forms import TraitUploadField, SelectField
from tvb.core.neotraits.h5 import MEMORY_STRING
from tvb.core.neotraits.uploader_view_model import UploaderViewModel
from tvb.core.neotraits.view_model import Str
from tvb.datatypes.sensors import SensorsEEG, SensorsMEG, SensorsInternal, SensorTypesEnum
[docs]class SensorsImporterModel(UploaderViewModel):
OPTIONS = {'EEG Sensors': SensorsEEG.sensors_type.default,
'MEG Sensors': SensorsMEG.sensors_type.default,
'Internal Sensors': SensorsInternal.sensors_type.default}
sensors_file = Str(
label='Please upload sensors file (txt or bz2 format)',
doc='Expected a text/bz2 file containing sensor measurements.'
)
sensors_type = EnumAttr(
label='Sensors type: ',
default=SensorTypesEnum.TYPE_EEG
)
[docs]class SensorsImporter(ABCUploader):
"""
Upload Sensors from a TXT file.
"""
_ui_name = "Sensors"
_ui_subsection = "sensors_importer"
_ui_description = "Import Sensor locations from TXT or BZ2"
logger = get_logger(__name__)
[docs] def get_output(self):
return [SensorsIndex]
[docs] def launch(self, view_model):
# type: (SensorsImporterModel) -> [SensorsIndex]
"""
Creates required sensors from the uploaded file.
:returns: a list of sensors instances of the specified type
:raises LaunchException: when
* no sensors_file specified
* sensors_type is invalid (not one of the mentioned options)
* sensors_type is "MEG sensors" and no orientation is specified
"""
if view_model.sensors_file is None:
raise LaunchException("Please select sensors file which contains data to import")
self.logger.debug("Create sensors instance")
if view_model.sensors_type.value == SensorsEEG.sensors_type.default:
sensors_inst = SensorsEEG()
elif view_model.sensors_type.value == SensorsMEG.sensors_type.default:
sensors_inst = SensorsMEG()
elif view_model.sensors_type.value == SensorsInternal.sensors_type.default:
sensors_inst = SensorsInternal()
else:
exception_str = "Could not determine sensors type (selected option %s)" % view_model.sensors_type
raise LaunchException(exception_str)
locations = self.read_list_data(view_model.sensors_file, usecols=[1, 2, 3])
# NOTE: TVB has the nose pointing -y and left ear pointing +x
# If the sensors are in CTF coordinates : nose pointing +x left ear +y
# to rotate the sensors by -90 along z uncomment below
# locations = numpy.array([[0, 1, 0], [-1, 0, 0], [0, 0, 1]]).dot(locations.T).T
sensors_inst.locations = locations
sensors_inst.labels = self.read_list_data(view_model.sensors_file, dtype=MEMORY_STRING, usecols=[0])
sensors_inst.number_of_sensors = sensors_inst.labels.size
if isinstance(sensors_inst, SensorsMEG):
try:
sensors_inst.orientations = self.read_list_data(view_model.sensors_file, usecols=[4, 5, 6])
sensors_inst.has_orientation = True
except IndexError:
raise LaunchException("Uploaded file does not contains sensors orientation.")
sensors_inst.configure()
self.logger.debug("Sensors instance ready to be stored")
return self.store_complete(sensors_inst)