def test_build_pandas_dataframe_empty_cellset(self):
self.tm1.cubes.cells.write_value(
value=0,
cube_name=self.cube_name,
element_tuple=(
self.dim1_element_names[0],
self.dim2_element_names[0],
self.dim3_element_names[0],
self.dim4_element_names[0],
),
dimensions=(self.dim1_name, self.dim2_name, self.dim3_name, self.dim4_name),
)
rows = [
DimensionSelection(
dimension_name=self.dim1_name, elements=(self.dim1_element_names[0],)
),
DimensionSelection(
dimension_name=self.dim2_name, elements=(self.dim2_element_names[0],)
),
]
columns = [
DimensionSelection(
dimension_name=self.dim3_name, elements=(self.dim3_element_names[0],)
),
DimensionSelection(
dimension_name=self.dim4_name, elements=(self.dim4_element_names[0],)
),
]
suppress = "Both"
mdx = MDXUtils.construct_mdx(
cube_name=self.cube_name, rows=rows, columns=columns, suppress=suppress
)
empty_cellset = self.tm1.cubes.cells.execute_mdx(mdx)
self.assertRaises(
ValueError, Utils.build_pandas_dataframe_from_cellset, empty_cellset, True
)
self.assertRaises(
ValueError, Utils.build_pandas_dataframe_from_cellset, empty_cellset, False
)
def test_construct_mdx_suppress_zeroes(self):
rows = [
DimensionSelection(dimension_name=self.dim1_name),
DimensionSelection(
dimension_name=self.dim2_name, elements=self.dim2_element_names
),
]
columns = [
DimensionSelection(
dimension_name=self.dim3_name,
expression="TM1SubsetAll([{}])".format(self.dim3_name),
),
DimensionSelection(
dimension_name=self.dim4_name, subset=self.dim4_subset_Name
),
]
mdx = MDXUtils.construct_mdx(
cube_name=self.cube_name, rows=rows, columns=columns, suppress="BOTH"
)
content = self.tm1.cubes.cells.execute_mdx(mdx)
number_cells = len(content.keys())
self.assertLess(number_cells, 1000)
def test_build_pandas_dataframe_from_cellset(self):
rows = [DimensionSelection(dimension_name=self.dim1_name),
DimensionSelection(dimension_name=self.dim2_name, elements=self.dim2_element_names)]
columns = [
DimensionSelection(
dimension_name=self.dim3_name,
expression="TM1SubsetAll([{}])".format(self.dim3_name)),
DimensionSelection(
dimension_name=self.dim4_name,
subset=self.dim4_subset_Name)]
suppress = None
mdx = MDXUtils.construct_mdx(
cube_name=self.cube_name,
rows=rows,
columns=columns,
suppress=suppress)
cellset = self.tm1.cubes.cells.execute_mdx(mdx)
df = Utils.build_pandas_dataframe_from_cellset(cellset, multiindex=False)
self.assertTrue(df.shape[0] == 1000)
self.assertTrue(df.shape[1] == 5)
self.assertIsInstance(df, pd.DataFrame)
cellset = Utils.build_cellset_from_pandas_dataframe(df)
self.assertTrue(len(cellset.keys()) == 1000)
self.assertIsInstance(cellset, Utils.CaseAndSpaceInsensitiveTuplesDict)
def test_determine_selection_type(self):
self.assertEqual(
DimensionSelection.determine_selection_type(elements=["e1", "e2"],
subset=None,
expression=None),
DimensionSelection.ITERABLE)
self.assertEqual(
DimensionSelection.determine_selection_type(["e1", "e2"]),
DimensionSelection.ITERABLE)
self.assertEqual(
DimensionSelection.determine_selection_type(elements=None,
subset="something",
expression=None),
DimensionSelection.SUBSET)
self.assertEqual(
DimensionSelection.determine_selection_type(
None, "something", None), DimensionSelection.SUBSET)
self.assertEqual(
DimensionSelection.determine_selection_type(
elements=None, subset=None, expression="{[d1].[e1]}"),
DimensionSelection.EXPRESSION)
self.assertEqual(
DimensionSelection.determine_selection_type(
None, None, "{[d1].[e1]}"), DimensionSelection.EXPRESSION)
self.assertEqual(
DimensionSelection.determine_selection_type(elements=None,
subset=None,
expression=None), None)
self.assertEqual(
DimensionSelection.determine_selection_type(None, None, None),
None)
self.assertEqual(DimensionSelection.determine_selection_type(), None)
self.assertRaises(ValueError,
DimensionSelection.determine_selection_type, ["e2"],
"subset1", "{[d1].[e1]}")
self.assertRaises(ValueError,
DimensionSelection.determine_selection_type, ["e2"],
"subset1")
self.assertRaises(ValueError,
DimensionSelection.determine_selection_type, ["e2"],
None, "subset1")
def test_construct_mdx(self):
rows = [
DimensionSelection(dimension_name=self.dim1_name),
DimensionSelection(
dimension_name=self.dim2_name, elements=self.dim2_element_names
),
]
columns = [
DimensionSelection(
dimension_name=self.dim3_name,
expression="TM1SubsetAll([{}])".format(self.dim3_name),
)
]
contexts = {self.dim4_name: self.dim4_element_names[0]}
mdx = MDXUtils.construct_mdx(
cube_name=self.cube_name,
rows=rows,
columns=columns,
contexts=contexts,
suppress=None,
)
content = self.tm1.cubes.cells.execute_mdx(mdx)
number_cells = len(content.keys())
self.assertEqual(number_cells, 1000)
