def test_curly_braces(self):
self.assertEqual(
MDXUtils.curly_braces("something"),
"{something}")
self.assertEqual(
MDXUtils.curly_braces("something}"),
"{something}")
self.assertEqual(
MDXUtils.curly_braces("{something"),
"{something}")
self.assertEqual(
MDXUtils.curly_braces("{something}"),
"{something}")
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_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)
# cater for potential Sandboxes dimension on first position
if df.columns[0] == "Sandboxes":
self.assertTrue(df.shape[1] == 6)
else:
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_cellset_and_pandas_df(self):
rows = {self.dim1_name: None, self.dim2_name: self.dim2_element_names}
columns = {
self.dim3_name: "{{TM1SubsetAll([{}])}}".format(self.dim3_name)
}
contexts = {self.dim4_name: self.dim4_element_names[0]}
suppress = None
mdx = MDXUtils.construct_mdx(cube_name=self.cube_name,
rows=rows,
columns=columns,
contexts=contexts,
suppress=suppress)
cellset = self.tm1.cubes.cells.execute_mdx(mdx)
df = Utils.build_pandas_dataframe_from_cellset(cellset,
multiindex=True)
self.assertIsInstance(df, pd.DataFrame)
self.assertTrue(df.shape[0] == 1000)
self.assertTrue(df.shape[1] == 1)
cellset = Utils.build_cellset_from_pandas_dataframe(df)
self.assertTrue(len(cellset.keys()) == 1000)
self.assertIsInstance(cellset, Utils.CaseAndSpaceInsensitiveTuplesDict)
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_read_cube_name_from_mdx(self):
all_cube_names = self.tm1.cubes.get_all_names()
for cube_name in all_cube_names:
private_views, public_views = self.tm1.cubes.views.get_all(cube_name)
for view in private_views + public_views:
mdx = view.MDX
self.assertEquals(
cube_name.upper().replace(" ", ""),
MDXUtils.read_cube_name_from_mdx(mdx))
def test_read_cube_name_from_mdx(self):
all_cube_names = self.tm1.cubes.get_all_names()
all_cube_names_normalized = [
cube_name.upper().replace(" ", "") for cube_name in all_cube_names
]
for cube_name in all_cube_names:
private_views, public_views = self.tm1.cubes.views.get_all(
cube_name)
for view in private_views + public_views:
mdx = view.MDX
cube_name = MDXUtils.read_cube_name_from_mdx(mdx)
self.assertIn(cube_name, all_cube_names_normalized)
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)
def test_construct_mdx(self):
rows = {self.dim1_name: None, self.dim2_name: self.dim2_element_names}
columns = {
self.dim3_name: "{{TM1SubsetAll([{}])}}".format(self.dim3_name)
}
contexts = {self.dim4_name: self.dim4_element_names[0]}
suppress = None
mdx = MDXUtils.construct_mdx(cube_name=self.cube_name,
rows=rows,
columns=columns,
contexts=contexts,
suppress=suppress)
content = self.tm1.cubes.cells.execute_mdx(mdx)
number_cells = len(content.keys())
self.assertEqual(number_cells, 1000)
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)