def accepted_filters():
filters = DataType.accepted_filters()
filters.update({
FilterChain.datatype + '.data_ndim': {
'type': 'int',
'display': 'No of Dimensions',
'operations': ['==', '<', '>']
},
FilterChain.datatype + '.sample_period': {
'type': 'float',
'display': 'Sample Period',
'operations': ['==', '<', '>']
},
FilterChain.datatype + '.sample_rate': {
'type': 'float',
'display': 'Sample Rate',
'operations': ['==', '<', '>']
},
FilterChain.datatype + '.title': {
'type': 'string',
'display': 'Title',
'operations': ['==', '!=', 'like']
}
})
return filters
def accepted_filters():
filters = DataType.accepted_filters()
filters.update({
'datatype_class.number_of_regions': {
'type': 'int',
'display': 'No of Regions',
'operations': ['==', '<', '>']
}
})
return filters
def test_prepare_inputs_datatype(self, operation_factory):
"""
Test for ABCAdapter.prepare_ui_inputs method when submitting DataType with sub-attributes.
"""
parent_op = operation_factory()
test_entity = dao.store_entity(DataType(operation_id=parent_op.id))
dataset_3 = {}
for key, value in self.SUBMIT_DATASET_3.items():
dataset_3[key.replace("$GID$", test_entity.gid)] = value.replace(
"$GID$", test_entity.gid)
kwargs = self.test_adapter.prepare_ui_inputs(dataset_3)
for expected_name, expected_type in self.EXPECTED_FILTERED_SET3.items(
):
assert expected_name in kwargs
assert isinstance(kwargs[expected_name], expected_type)
assert len(self.EXPECTED_FILTERED_SET3) == len(kwargs)
assert 2 == len(kwargs["surface_parameters"])
assert isinstance(kwargs["surface_parameters"]["att1"], int)
assert isinstance(kwargs["surface_parameters"]["att2"], float)
def accepted_filters():
filters = DataType.accepted_filters()
return filters
