def test_launch(self):
"""
Check that all required keys are present in output from BrainViewer launch.
"""
zip_path = os.path.join(os.path.dirname(sensors_dataset.__file__), 'eeg_unitvector_62.txt.bz2')
TestFactory.import_sensors(self.test_user, self.test_project, zip_path, 'EEG Sensors')
sensors = TestFactory.get_entity(self.test_project, SensorsEEG())
time_series = self.datatypeFactory.create_timeseries(self.connectivity, 'EEG', sensors)
viewer = EegMonitor()
result = viewer.launch(time_series)
expected_keys = ['tsNames', 'groupedLabels', 'tsModes', 'tsStateVars', 'longestChannelLength',
'label_x', 'entities', 'page_size', 'number_of_visible_points',
'extended_view', 'initialSelection', 'ag_settings', 'ag_settings']
for key in expected_keys:
self.assertTrue(key in result, "key not found %s" % key)
expected_ag_settings = ['channelsPerSet', 'channelLabels', 'noOfChannels', 'translationStep',
'normalizedSteps', 'nan_value_found', 'baseURLS', 'pageSize',
'nrOfPages', 'timeSetPaths', 'totalLength', 'number_of_visible_points',
'extended_view', 'measurePointsSelectionGIDs']
ag_settings = json.loads(result['ag_settings'])
for key in expected_ag_settings:
self.assertTrue(key in ag_settings, "ag_settings should have the key %s" % key)
def test_launch(self, time_series_index_factory):
"""
Check that all required keys are present in output from EegMonitor launch.
"""
time_series_index = time_series_index_factory()
viewer = EegMonitor()
view_model = viewer.get_view_model_class()()
view_model.input_data = time_series_index.gid
result = viewer.launch(view_model)
expected_keys = ['tsNames', 'groupedLabels', 'tsModes', 'tsStateVars', 'longestChannelLength',
'label_x', 'entities', 'page_size', 'number_of_visible_points',
'extended_view', 'initialSelection', 'ag_settings', 'ag_settings']
for key in expected_keys:
assert key in result, "key not found %s" % key
expected_ag_settings = ['channelsPerSet', 'channelLabels', 'noOfChannels', 'translationStep',
'normalizedSteps', 'nan_value_found', 'baseURLS', 'pageSize',
'nrOfPages', 'timeSetPaths', 'totalLength', 'number_of_visible_points',
'extended_view', 'measurePointsSelectionGIDs']
ag_settings = json.loads(result['ag_settings'])
for key in expected_ag_settings:
assert key in ag_settings, "ag_settings should have the key %s" % key
def test_launch(self):
"""
Check that all required keys are present in output from BrainViewer launch.
"""
zip_path = os.path.join(os.path.dirname(sensors_dataset.__file__),
'EEG_unit_vectors_BrainProducts_62.txt.bz2')
TestFactory.import_sensors(self.test_user, self.test_project, zip_path,
'EEG Sensors')
sensors = TestFactory.get_entity(self.test_project, SensorsEEG())
time_series = self.datatypeFactory.create_timeseries(
self.connectivity, 'EEG', sensors)
viewer = EegMonitor()
result = viewer.launch(time_series)
expected_keys = [
'tsStateVars', 'tsModes', 'translationStep', 'total_length',
'title', 'timeSetPaths', 'number_of_visible_points',
'normalizedSteps', 'noOfChannels', 'labelsForCheckBoxes',
'label_x', 'graphLabels', 'entities', 'channelsPage'
]
for key in expected_keys:
self.assertTrue(key in result)
def test_launch(self):
"""
Check that all required keys are present in output from BrainViewer launch.
"""
zip_path = os.path.join(os.path.dirname(sensors_dataset.__file__),
'EEG_unit_vectors_BrainProducts_62.txt.bz2')
TestFactory.import_sensors(self.test_user, self.test_project, zip_path,
'EEG Sensors')
sensors = TestFactory.get_entity(self.test_project, SensorsEEG())
time_series = self.datatypeFactory.create_timeseries(
self.connectivity, 'EEG', sensors)
viewer = EegMonitor()
result = viewer.launch(time_series)
expected_keys = [
'tsNames', 'groupedLabels', 'tsModes', 'tsStateVars',
'longestChannelLength', 'label_x', 'entities', 'page_size',
'number_of_visible_points', 'extended_view', 'initialSelection',
'ag_settings', 'ag_settings'
]
for key in expected_keys:
self.assertTrue(key in result, "key not found %s" % key)
expected_ag_settings = [
'channelsPerSet', 'channelLabels', 'noOfChannels',
'translationStep', 'normalizedSteps', 'nan_value_found',
'baseURLS', 'pageSize', 'nrOfPages', 'timeSetPaths', 'totalLength',
'number_of_visible_points', 'extended_view',
'measurePointsSelectionGIDs'
]
ag_settings = json.loads(result['ag_settings'])
for key in expected_ag_settings:
self.assertTrue(key in ag_settings,
"ag_settings should have the key %s" % key)