def it_provides_access_to_the_apparent_dimensions(self):
dimension_dicts = CR.CA_X_MR_WEIGHTED_HS["result"]["dimensions"]
all_dimensions = AllDimensions(dimension_dicts)
apparent_dimension_types = tuple(
d.dimension_type for d in all_dimensions.apparent_dimensions)
assert apparent_dimension_types == (DT.CA, DT.CA_CAT, DT.MR)
def it_resolves_the_type_of_each_dimension(self, cube_response,
expected_types):
dimension_dicts = cube_response["result"]["dimensions"]
all_dimensions = AllDimensions(dimension_dicts)
dimension_types = tuple(d.dimension_type for d in all_dimensions)
assert dimension_types == expected_types
def it_provides_the_means_missing_count_when_sum_are_available(self):
cube_dict = CR.SUM_CAT_X_MR
measures = _Measures(
cube_dict,
AllDimensions(dimension_dicts=cube_dict["result"]["dimensions"]),
)
missing_count = measures.missing_count
assert missing_count == 1
def it_provides_access_to_wgtd_count_measure(self, cube_dict,
expected_type_name):
measures = _Measures(
cube_dict,
AllDimensions(dimension_dicts=cube_dict["result"]["dimensions"]),
)
weighted_counts = measures.weighted_counts
assert type(weighted_counts).__name__ == expected_type_name
def it_provides_access_to_the_mean_measure(self):
cube_dict = CR.CAT_X_CAT_MEAN_WGTD
measures = _Measures(
cube_dict,
AllDimensions(dimension_dicts=cube_dict["result"]["dimensions"]),
)
means = measures.means
assert type(means).__name__ == "_MeanMeasure"
def it_provides_access_to_the_overlaps_measure(self):
cube_dict = OL.CAT_X_MR_SUB_X_MR_SEL
measures = _Measures(
cube_dict,
AllDimensions(dimension_dicts=cube_dict["result"]["dimensions"]),
)
overlaps = measures.overlaps
assert type(overlaps).__name__ == "_OverlapMeasure"
def _all_dimensions(self):
"""The AllDimensions object for this cube.
The AllDimensions object provides access to all the dimensions appearing in the
cube response, not only apparent dimensions (those that appear to a user). It
also provides access to an _ApparentDimensions object which contains only those
user-apparent dimensions (basically the categories dimension of each MR
dimension-pair is suppressed).
"""
return AllDimensions(
dimension_dicts=self._cube_dict["result"]["dimensions"])
def it_knows_if_its_dimensions_order(self, request, dim_types,
expected_value):
_dimensions_ = tuple(
instance_mock(
request, Dimension, name="dim-%d" % idx, dimension_type=dt)
for idx, dt in enumerate(dim_types))
_dimensions_prop_ = property_mock(request, AllDimensions,
"_dimensions")
_dimensions_prop_.return_value = _dimensions_
assert AllDimensions(None).dimension_order == expected_value