def prepare_mapped_sensors_as_measure_points_params(project_id,
sensors,
eeg_cap=None):
"""
Compute sensors positions by mapping them to the ``eeg_cap`` surface
If ``eeg_cap`` is not specified the mapping will use a default EEGCal DataType in current project.
If no default EEGCap is found, return sensors as they are (not projected)
:returns: dictionary to be used in Viewers for rendering measure_points
:rtype: dict
"""
if eeg_cap is None:
eeg_cap = dao.get_values_of_datatype(project_id, EEGCap,
page_size=1)[0]
if eeg_cap:
eeg_cap = ABCDisplayer.load_entity_by_gid(eeg_cap[-1][2])
if eeg_cap:
datatype_kwargs = json.dumps({'surface_to_map': eeg_cap.gid})
sensor_locations = ABCDisplayer.paths2url(
sensors, 'sensors_to_surface') + '/' + datatype_kwargs
sensor_no = sensors.number_of_sensors
sensor_labels = ABCDisplayer.paths2url(sensors, 'labels')
return {
'urlMeasurePoints': sensor_locations,
'urlMeasurePointsLabels': sensor_labels,
'noOfMeasurePoints': sensor_no,
'minMeasure': 0,
'maxMeasure': sensor_no,
'urlMeasure': ''
}
return prepare_sensors_as_measure_points_params(sensors)
def get_shell_surface_urls(shell_surface=None, project_id=0):
if shell_surface is None:
shell_surface = dao.get_values_of_datatype(project_id, FaceSurface)[0]
if not shell_surface:
raise Exception('No face object found in database.')
shell_surface = ABCDisplayer.load_entity_by_gid(shell_surface[0][2])
face_vertices, face_normals, _, face_triangles = shell_surface.get_urls_for_rendering()
return json.dumps([face_vertices, face_normals, face_triangles])
def prepare_shell_surface_urls(project_id, shell_surface=None):
if shell_surface is None:
shell_surface = dao.get_values_of_datatype(project_id,
FaceSurface,
page_size=1)[0]
if not shell_surface:
raise Exception('No Face object found in current project.')
shell_surface = ABCDisplayer.load_entity_by_gid(shell_surface[0][2])
face_vertices, face_normals, _, face_triangles = shell_surface.get_urls_for_rendering(
)
return json.dumps([face_vertices, face_normals, face_triangles])
def compute_sensor_surfacemapped_measure_points(project_id, sensors, eeg_cap=None):
"""
Compute sensors positions by mapping them to the ``eeg_cap`` surface
If ``eeg_cap`` is not specified the mapping will use a default.
It returns a url from where to fetch the positions
If no default is available it returns None
:returns: measure points, measure points labels, measure points number
:rtype: tuple
"""
if eeg_cap is None:
eeg_cap = dao.get_values_of_datatype(project_id, EEGCap)[0]
if eeg_cap:
eeg_cap = ABCDisplayer.load_entity_by_gid(eeg_cap[-1][2])
if eeg_cap:
datatype_kwargs = json.dumps({'surface_to_map': eeg_cap.gid})
measure_points = ABCDisplayer.paths2url(sensors, 'sensors_to_surface') + '/' + datatype_kwargs
measure_points_no = sensors.number_of_sensors
measure_points_labels = ABCDisplayer.paths2url(sensors, 'labels')
return measure_points, measure_points_labels, measure_points_no
