def __init__(self, prefix='', project_id=None):
super(ProjectionMatrixImporterForm, self).__init__(prefix, project_id)
self.projection_file = TraitUploadField(ProjectionMatrixImporterModel.projection_file, ('.mat', '.npy'), self,
name='projection_file')
self.dataset_name = StrField(ProjectionMatrixImporterModel.dataset_name, self, name='dataset_name')
surface_conditions = FilterChain(fields=[FilterChain.datatype + '.surface_type'], operations=['=='],
values=['Cortical Surface'])
self.surface = TraitDataTypeSelectField(ProjectionMatrixImporterModel.surface, self, name='surface',
conditions=surface_conditions)
self.sensors = TraitDataTypeSelectField(ProjectionMatrixImporterModel.sensors, self, name='sensors')
def __init__(self):
super(RegionMappingImporterForm, self).__init__()
self.mapping_file = TraitUploadField(RegionMappingImporterModel.mapping_file, ('.txt', '.zip', '.bz2'),
'mapping_file')
surface_conditions = FilterChain(fields=[FilterChain.datatype + '.surface_type'], operations=['=='],
values=[CORTICAL])
self.surface = TraitDataTypeSelectField(RegionMappingImporterModel.surface, name='surface',
conditions=surface_conditions)
self.connectivity = TraitDataTypeSelectField(RegionMappingImporterModel.connectivity, name='connectivity')
def __init__(self, project_id=None):
super(BrainViewerForm, self).__init__(project_id)
self.time_series = TraitDataTypeSelectField(
BrainViewerModel.time_series,
self.project_id,
name='time_series',
conditions=self.get_filters())
self.shell_surface = TraitDataTypeSelectField(
BrainViewerModel.shell_surface,
self.project_id,
name='shell_surface')
def __init__(self, is_surface_simulation=False):
super(SimulatorStimulusFragment, self).__init__()
stimuli_index_class = StimuliRegionIndex
if is_surface_simulation:
stimuli_index_class = SpatioTemporalPatternIndex
traited_field = Attr(stimuli_index_class,
doc=SimulatorAdapterModel.stimulus.doc,
label=SimulatorAdapterModel.stimulus.label,
required=SimulatorAdapterModel.stimulus.required)
self.stimulus = TraitDataTypeSelectField(traited_field,
name='stimulus')
def __init__(self, prefix='', project_id=None):
super(EegMonitorForm, self).__init__(prefix, project_id)
self.input_data = TraitDataTypeSelectField(EegMonitorModel.input_data,
self,
name='input_data')
self.data_2 = TraitDataTypeSelectField(EegMonitorModel.data_2,
self,
name='data_2')
self.data_3 = TraitDataTypeSelectField(EegMonitorModel.data_3,
self,
name='data_3')
def __init__(self):
super(RegionVolumeMappingVisualiserForm, self).__init__()
self.region_mapping_volume = TraitDataTypeSelectField(RegionVolumeMappingVisualiserModel.region_mapping_volume,
name='region_mapping_volume',
conditions=self.get_filters())
cm_conditions = FilterChain(
fields=[FilterChain.datatype + '.ndim', FilterChain.datatype + '.has_volume_mapping'],
operations=["==", "=="], values=[1, True])
self.connectivity_measure = TraitDataTypeSelectField(RegionVolumeMappingVisualiserModel.connectivity_measure,
name='connectivity_measure', conditions=cm_conditions)
def __init__(self, prefix='', project_id=None):
super(TimeSeriesVolumeVisualiserForm,
self).__init__(prefix, project_id)
self.time_series = TraitDataTypeSelectField(
TimeSeriesVolumeVisualiserModel.time_series,
self,
name='time_series',
conditions=self.get_filters())
self.background = TraitDataTypeSelectField(
TimeSeriesVolumeVisualiserModel.background,
self,
name='background')
def __init__(self, session_stored_simulator=None):
super(MEGMonitorForm, self).__init__(session_stored_simulator)
sensor_filter = FilterChain(fields=[FilterChain.datatype + '.sensors_type'], operations=["=="],
values=[SensorTypes.TYPE_MEG.value])
projection_filter = FilterChain(fields=[FilterChain.datatype + '.projection_type'], operations=["=="],
values=[ProjectionsType.MEG.value])
self.projection = TraitDataTypeSelectField(MEGViewModel.projection, name='projection',
conditions=projection_filter)
self.sensors = TraitDataTypeSelectField(MEGViewModel.sensors, name='sensors', conditions=sensor_filter)
def __init__(self, prefix='', project_id=None):
super(SensorsViewerForm, self).__init__(prefix, project_id)
self.sensors = TraitDataTypeSelectField(SensorsViewerModel.sensors,
self,
name='sensors',
conditions=self.get_filters())
self.projection_surface = TraitDataTypeSelectField(
SensorsViewerModel.projection_surface,
self,
name='projection_surface')
self.shell_surface = TraitDataTypeSelectField(
SensorsViewerModel.shell_surface, self, name='shell_surface')
def __init__(self, prefix='', project_id=None):
super(ConnectivityMeasureVolumeVisualizerForm,
self).__init__(prefix, project_id)
self.connectivity_measure = TraitDataTypeSelectField(
ConnectivityMeasureVolumeVisualizerModel.connectivity_measure,
self,
name='connectivity_measure',
conditions=self.get_filters())
self.region_mapping_volume = TraitDataTypeSelectField(
ConnectivityMeasureVolumeVisualizerModel.region_mapping_volume,
self,
name='region_mapping_volume')
def __init__(self):
super(ConnectivityAnnotationsViewForm, self).__init__()
# Used for filtering
self.connectivity_index = TraitDataTypeSelectField(
ConnectivityAnnotationsViewModel.connectivity_index,
'connectivity_index')
self.annotations_index = TraitDataTypeSelectField(
ConnectivityAnnotationsViewModel.annotations_index,
'annotations_index',
conditions=self.get_filters())
self.region_mapping_index = TraitDataTypeSelectField(
ConnectivityAnnotationsViewModel.region_mapping_index,
'region_mapping_index')
def __init__(self, session_stored_simulator=None, prefix='', project_id=None):
super(iEEGMonitorForm, self).__init__(session_stored_simulator, prefix, project_id)
sensor_filter = FilterChain(fields=[FilterChain.datatype + '.sensors_type'], operations=["=="],
values=[SensorTypes.TYPE_INTERNAL.value])
projection_filter = FilterChain(fields=[FilterChain.datatype + '.projection_type'], operations=["=="],
values=[ProjectionsType.SEEG.value])
self.projection = TraitDataTypeSelectField(iEEGViewModel.projection, self, name='projection',
conditions=projection_filter)
self.sigma = ScalarField(iEEG.sigma, self)
self.sensors = TraitDataTypeSelectField(iEEGViewModel.sensors, self, name='sensors', conditions=sensor_filter)
def __init__(self, prefix='', project_id=None):
super(VolumeVisualizerForm, self).__init__(prefix, project_id)
self.measure = TraitDataTypeSelectField(VolumeVisualizerModel.measure,
self,
name='measure',
conditions=self.get_filters())
self.region_mapping_volume = TraitDataTypeSelectField(
VolumeVisualizerModel.region_mapping_volume,
self,
name='region_mapping_volume')
self.data_slice = StrField(VolumeVisualizerModel.data_slice,
self,
name='data_slice')
def __init__(self, prefix='', project_id=None):
super(BaseSurfaceViewerForm, self).__init__(prefix, project_id)
self.region_map = TraitDataTypeSelectField(
BaseSurfaceViewerModel.region_map, self, name='region_map')
conn_filter = FilterChain(fields=[FilterChain.datatype + '.ndim'],
operations=["=="],
values=[1])
self.connectivity_measure = TraitDataTypeSelectField(
BaseSurfaceViewerModel.connectivity_measure,
self,
name='connectivity_measure',
conditions=conn_filter)
self.shell_surface = TraitDataTypeSelectField(
BaseSurfaceViewerModel.shell_surface, self, name='shell_surface')
def __init__(self, project_id=None):
super(TopographicViewerForm, self).__init__(project_id)
self.data_0 = TraitDataTypeSelectField(TopographicViewerModel.data_0,
self.project_id,
name='data_0',
conditions=self.get_filters())
self.data_1 = TraitDataTypeSelectField(TopographicViewerModel.data_1,
self.project_id,
name='data_1',
conditions=self.get_filters())
self.data_2 = TraitDataTypeSelectField(TopographicViewerModel.data_2,
self.project_id,
name='data_2',
conditions=self.get_filters())
def __init__(self, prefix='', project_id=None):
super(FourierSpectrumForm, self).__init__(prefix, project_id)
self.input_data = TraitDataTypeSelectField(
FourierSpectrumModel.input_data,
self,
name='input_data',
conditions=self.get_filters())
def __init__(self, prefix='', project_id=None):
super(DiscretePSEAdapterForm, self).__init__(prefix, project_id)
self.datatype_group = TraitDataTypeSelectField(
DiscretePSEAdapterModel.datatype_group,
self,
name='datatype_group',
conditions=self.get_filters())
def __init__(self):
super(ConnectivityEdgeBundleForm, self).__init__()
self.connectivity = TraitDataTypeSelectField(
ConnectivityEdgeBundleModel.connectivity,
name="connectivity",
conditions=self.get_filters(),
has_all_option=False)
def __init__(self):
super(BaseBCTForm, self).__init__()
self.connectivity = TraitDataTypeSelectField(
BaseBCTModel.connectivity,
name="connectivity",
conditions=self.get_filters(),
has_all_option=True)
def __init__(self):
super(MatrixVisualizerForm, self).__init__()
self.datatype = TraitDataTypeSelectField(
MatrixVisualizerModel.datatype,
name='datatype',
conditions=self.get_filters())
self.slice = StrField(MatrixVisualizerModel.slice, name='slice')
def __init__(self):
super(BaseSurfaceViewerForm, self).__init__()
self.region_map = TraitDataTypeSelectField(
BaseSurfaceViewerModel.region_map, name='region_map')
conn_filter = FilterChain(fields=[
FilterChain.datatype + '.ndim',
FilterChain.datatype + '.has_surface_mapping'
],
operations=["==", "=="],
values=[1, True])
self.connectivity_measure = TraitDataTypeSelectField(
BaseSurfaceViewerModel.connectivity_measure,
name='connectivity_measure',
conditions=conn_filter)
self.shell_surface = TraitDataTypeSelectField(
BaseSurfaceViewerModel.shell_surface, name='shell_surface')
def __init__(self, prefix='', project_id=None):
super(ImaginaryCoherenceDisplayForm, self).__init__(prefix, project_id)
self.input_data = TraitDataTypeSelectField(
ImaginaryCoherenceDisplayModel.input_data,
self,
'input_data',
conditions=self.get_filters())
def __init__(self, equation_choices, prefix='', project_id=None):
super(LocalConnectivityCreatorForm, self).__init__(prefix, project_id)
filter_for_cortical = FilterChain(
fields=[FilterChain.datatype + '.surface_type'],
operations=["=="],
values=[CORTICAL])
self.surface = TraitDataTypeSelectField(
LocalConnectivityCreatorModel.surface,
self,
name=self.get_input_name(),
conditions=filter_for_cortical)
self.spatial = SelectField(LocalConnectivityCreatorModel.equation,
self,
name='spatial',
choices=equation_choices,
display_none_choice=False)
self.spatial_params = FormField(GaussianEquationForm,
self,
name=self.NAME_EQUATION_PARAMS_DIV,
label='Equation parameters')
self.cutoff = ScalarField(LocalConnectivityCreatorModel.cutoff, self)
self.display_name = ScalarField(
LocalConnectivityCreatorModel.display_name,
self,
name='display_name')
def __init__(self, spatial_equation_choices, temporal_equation_choices,
project_id):
super(SurfaceStimulusCreatorForm, self).__init__()
self.project_id = project_id
# TODO: filter CorticalSurafces
self.surface = TraitDataTypeSelectField(
SurfaceStimulusCreatorModel.surface,
self,
name='surface',
conditions=self.get_filters())
self.spatial = SelectField(SurfaceStimulusCreatorModel.spatial,
self,
name='spatial',
choices=spatial_equation_choices)
self.spatial_params = FormField(get_form_for_equation(
self.default_spatial),
self,
name=self.NAME_SPATIAL_PARAMS_DIV)
self.temporal = SelectField(SurfaceStimulusCreatorModel.temporal,
self,
name='temporal',
choices=temporal_equation_choices)
self.temporal_params = FormField(get_form_for_equation(
self.default_temporal),
self,
name=self.NAME_TEMPORAL_PARAMS_DIV)
def __init__(self):
super(TrackImporterForm, self).__init__()
self.data_file = TraitUploadField(TrackImporterModel.data_file, '.trk',
'data_file')
self.region_volume = TraitDataTypeSelectField(
TrackImporterModel.region_volume, name='region_volume')
def __init__(self, project_id=None):
super(RegionMatTimeSeriesImporterForm, self).__init__(project_id)
self.data_file = TraitUploadField(
RegionMatTimeSeriesImporterModel.data_file, '.mat',
self.project_id, 'data_file', self.temporary_files)
self.dataset_name = StrField(
RegionMatTimeSeriesImporterModel.dataset_name,
self.project_id,
name='dataset_name')
self.structure_path = StrField(
RegionMatTimeSeriesImporterModel.structure_path,
self.project_id,
name='structure_path')
self.transpose = BoolField(RegionMatTimeSeriesImporterModel.transpose,
self.project_id,
name='transpose')
self.slice = StrField(RegionMatTimeSeriesImporterModel.slice,
self.project_id,
name='slice')
self.sampling_rate = IntField(
RegionMatTimeSeriesImporterModel.sampling_rate,
self.project_id,
name='sampling_rate')
self.start_time = IntField(RegionMatTimeSeriesImporterModel.start_time,
self.project_id,
name='start_time')
self.datatype = TraitDataTypeSelectField(
RegionMatTimeSeriesImporterModel.datatype,
self.project_id,
name='tstype_parameters')
def __init__(self, prefix='', project_id=None):
super(NodeComplexCoherenceForm, self).__init__(prefix, project_id)
self.time_series = TraitDataTypeSelectField(
NodeComplexCoherenceModel.time_series,
self,
name=self.get_input_name(),
conditions=self.get_filters())
def __init__(self):
super(LocalConnectivitySelectorForm, self).__init__()
traited_attr = Attr(self.get_required_datatype(),
label='Load Local Connectivity',
required=False)
self.existentEntitiesSelect = TraitDataTypeSelectField(
traited_attr, name='existentEntitiesSelect')
def __init__(self):
super(ICAForm, self).__init__()
self.datatype = TraitDataTypeSelectField(ICAModel.datatype,
name='datatype',
conditions=self.get_filters())
self.i_svar = IntField(ICAModel.i_svar, name='i_svar')
self.i_mode = IntField(ICAModel.i_mode, name='i_mode')
def __init__(self):
super(NodeCovarianceAdapterForm, self).__init__()
self.time_series = TraitDataTypeSelectField(
NodeCovarianceAdapterModel.time_series,
name=self.get_input_name(),
conditions=self.get_filters(),
has_all_option=True)
