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Cell.py
1798 lines (1531 loc) · 82 KB
/
Cell.py
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import configparser
import types
import unittest
from pathlib import Path
import pandas as pd
import pytest
from mdxpy import MdxBuilder, MdxHierarchySet, Member, CalculatedMember
from TM1py.Exceptions.Exceptions import TM1pyException
from TM1py.Objects import MDXView, Cube, Dimension, Element, Hierarchy, NativeView, AnonymousSubset, ElementAttribute
from TM1py.Services import TM1Service
from TM1py.Utils import Utils, abbreviate_mdx, element_names_from_element_unique_names
# Hard coded stuff
PREFIX = 'TM1py_Tests_Cell_'
CUBE_NAME = PREFIX + "Cube"
VIEW_NAME = PREFIX + "View"
DIMENSION_NAMES = [
PREFIX + 'Dimension1',
PREFIX + 'Dimension2',
PREFIX + 'Dimension3']
STRING_CUBE_NAME = PREFIX + "StringCube"
STRING_DIMENSION_NAMES = [
PREFIX + 'StringDimension1',
PREFIX + 'StringDimension2',
PREFIX + 'StringDimension3']
CELLS_IN_STRING_CUBE = {
('d1e1', 'd2e1', 'd3e1'): 'String1',
('d1e2', 'd2e2', 'd3e2'): 'String2',
('d1e3', 'd2e3', 'd3e3'): 'String3'}
LATIN_1_ENCODED_TEXT = "Èd5áÂè"
CUBE_RPS1_NAME = PREFIX + "Cube" + "_RPS1"
CUBE_RPS2_NAME = PREFIX + "Cube" + "_RPS2"
CUBE_WITH_CONSOLIDATIONS_NAME = CUBE_NAME + "_With_Consolidations"
DIMENSIONS_WITH_CONSOLIDATIONS_NAMES = [dimension_name + "_With_Consolidations" for dimension_name in DIMENSION_NAMES]
CUBE_WITH_RULES_NAME = CUBE_NAME + "_With_Rules"
DIMENSION_RPS1_NAME = PREFIX + "Dimension" + "_RPS1"
DIMENSION_RPS2_NAME = PREFIX + "Dimension" + "_RPS2"
config = configparser.ConfigParser()
config.read(Path(__file__).parent.joinpath('config.ini'))
class TestDataMethods(unittest.TestCase):
tm1 = None
# Setup Cubes, Dimensions and Subsets
@classmethod
def setup_class(cls):
# Connection to TM1
cls.tm1 = TM1Service(**config['tm1srv01'])
# Build Dimensions
for dimension_name in DIMENSION_NAMES:
elements = [Element('Element {}'.format(str(j)), 'Numeric') for j in range(1, 1001)]
element_attributes = [ElementAttribute("Attr1", "String"),
ElementAttribute("Attr2", "Numeric"),
ElementAttribute("Attr3", "Numeric")]
hierarchy = Hierarchy(dimension_name=dimension_name,
name=dimension_name,
elements=elements,
element_attributes=element_attributes)
dimension = Dimension(dimension_name, [hierarchy])
if cls.tm1.dimensions.exists(dimension.name):
cls.tm1.dimensions.update(dimension)
else:
cls.tm1.dimensions.create(dimension)
attribute_cube = "}ElementAttributes_" + dimension_name
attribute_values = dict()
for element in elements:
attribute_values[(element.name, "Attr1")] = "TM1py"
attribute_values[(element.name, "Attr2")] = "2"
attribute_values[(element.name, "Attr3")] = "3"
cls.tm1.cubes.cells.write_values(attribute_cube, attribute_values)
# Build Cube
cube = Cube(CUBE_NAME, DIMENSION_NAMES)
if not cls.tm1.cubes.exists(CUBE_NAME):
cls.tm1.cubes.create(cube)
# Build cube view
view = NativeView(
cube_name=CUBE_NAME,
view_name=VIEW_NAME,
suppress_empty_columns=True,
suppress_empty_rows=True)
view.add_row(
dimension_name=DIMENSION_NAMES[0],
subset=AnonymousSubset(
dimension_name=DIMENSION_NAMES[0],
expression='{[' + DIMENSION_NAMES[0] + '].Members}'))
view.add_row(
dimension_name=DIMENSION_NAMES[1],
subset=AnonymousSubset(
dimension_name=DIMENSION_NAMES[1],
expression='{[' + DIMENSION_NAMES[1] + '].Members}'))
view.add_column(
dimension_name=DIMENSION_NAMES[2],
subset=AnonymousSubset(
dimension_name=DIMENSION_NAMES[2],
expression='{[' + DIMENSION_NAMES[2] + '].Members}'))
if not cls.tm1.cubes.views.exists(CUBE_NAME, view.name, private=False):
cls.tm1.cubes.views.create(
view=view,
private=False)
# build target coordinates
cls.target_coordinates = list(zip(('Element ' + str(e) for e in range(1, 101)),
('Element ' + str(e) for e in range(1, 101)),
('Element ' + str(e) for e in range(1, 101))))
# cellset of data that shall be written
cls.cellset = Utils.CaseAndSpaceInsensitiveTuplesDict()
for element1, element2, element3 in cls.target_coordinates:
value = 1
cls.cellset[(element1, element2, element3)] = value
# Sum of all the values that we write in the cube. serves as a checksum.
cls.total_value = sum(cls.cellset.values())
# Fill cube with values
cls.tm1.cubes.cells.write_values(CUBE_NAME, cls.cellset)
# For tests on string related methods
cls.build_string_cube()
cls.build_cube_with_rules()
cls.build_cube_with_consolidations()
@classmethod
def build_string_cube(cls):
for d, dimension_name in enumerate(STRING_DIMENSION_NAMES, start=1):
dimension = Dimension(dimension_name)
hierarchy = Hierarchy(dimension_name, dimension_name)
for i in range(1, 5, 1):
element_name = "d" + str(d) + "e" + str(i)
hierarchy.add_element(element_name=element_name, element_type="String")
dimension.add_hierarchy(hierarchy)
if not cls.tm1.dimensions.exists(dimension.name):
cls.tm1.dimensions.create(dimension)
cube = Cube(name=STRING_CUBE_NAME, dimensions=STRING_DIMENSION_NAMES)
if not cls.tm1.cubes.exists(cube.name):
cls.tm1.cubes.create(cube)
# zero out cube
cls.tm1.processes.execute_ti_code("CubeClearData('" + STRING_CUBE_NAME + "');")
cls.tm1.cubes.cells.write_values(STRING_CUBE_NAME, CELLS_IN_STRING_CUBE)
@classmethod
def remove_string_cube(cls):
if cls.tm1.cubes.exists(cube_name=STRING_CUBE_NAME):
cls.tm1.cubes.delete(cube_name=STRING_CUBE_NAME)
for dimension_name in STRING_DIMENSION_NAMES:
if cls.tm1.dimensions.exists(dimension_name=dimension_name):
cls.tm1.dimensions.delete(dimension_name=dimension_name)
@classmethod
def build_cube_with_rules(cls):
cube = Cube(name=CUBE_WITH_RULES_NAME, dimensions=DIMENSION_NAMES)
cube.rules = f"['{DIMENSION_NAMES[0]}':'Element1'] = N: 1;\r\n"
cls.tm1.cubes.create(cube)
@classmethod
def remove_cube_with_rules(cls):
cls.tm1.cubes.delete(CUBE_WITH_RULES_NAME)
@classmethod
def build_cube_with_consolidations(cls):
for dimension_name_source, dimension_name_target in zip(DIMENSION_NAMES, DIMENSIONS_WITH_CONSOLIDATIONS_NAMES):
dimension = cls.tm1.dimensions.get(dimension_name=dimension_name_source)
dimension.name = dimension_name_target
hierarchy = dimension.get_hierarchy(dimension_name_target)
for element in hierarchy:
hierarchy.add_edge(parent="TOTAL_" + dimension_name_target, component=element.name, weight=1)
hierarchy.add_element("TOTAL_" + dimension_name_target, "Consolidated")
cls.tm1.dimensions.create(dimension)
cube = Cube(name=CUBE_WITH_CONSOLIDATIONS_NAME, dimensions=DIMENSIONS_WITH_CONSOLIDATIONS_NAMES)
cls.tm1.cubes.create(cube)
@classmethod
def remove_cube_with_consolidations(cls):
if cls.tm1.cubes.exists(cube_name=CUBE_WITH_CONSOLIDATIONS_NAME):
cls.tm1.cubes.delete(cube_name=CUBE_WITH_CONSOLIDATIONS_NAME)
for dimension_name in DIMENSIONS_WITH_CONSOLIDATIONS_NAMES:
if cls.tm1.dimensions.exists(dimension_name=dimension_name):
cls.tm1.dimensions.delete(dimension_name=dimension_name)
@classmethod
def build_assets_for_relative_proportional_spread_tests(cls):
for dimension_name in (DIMENSION_RPS1_NAME, DIMENSION_RPS2_NAME):
dimension = Dimension(dimension_name)
hierarchy = Hierarchy(dimension_name, dimension_name)
hierarchy.add_element(element_name="c1", element_type="Consolidated")
for i in range(1, 5, 1):
element_name = "e" + str(i)
hierarchy.add_element(element_name=element_name, element_type="Numeric")
hierarchy.add_edge(parent="c1", component=element_name, weight=1)
dimension.add_hierarchy(hierarchy)
if not cls.tm1.dimensions.exists(dimension.name):
cls.tm1.dimensions.create(dimension)
for cube_name in (CUBE_RPS1_NAME, CUBE_RPS2_NAME):
cube = Cube(name=cube_name, dimensions=(DIMENSION_RPS1_NAME, DIMENSION_RPS2_NAME))
if not cls.tm1.cubes.exists(cube.name):
cls.tm1.cubes.create(cube)
# zero out cube
cls.tm1.processes.execute_ti_code("CubeClearData('" + cube_name + "');")
@classmethod
def remove_assets_for_relative_proportional_spread_tests(cls):
for cube_name in (CUBE_RPS1_NAME, CUBE_RPS2_NAME):
if cls.tm1.cubes.exists(cube_name):
cls.tm1.cubes.delete(cube_name=cube_name)
for dimension_name in (DIMENSION_RPS1_NAME, DIMENSION_RPS2_NAME):
if cls.tm1.dimensions.exists(dimension_name):
cls.tm1.dimensions.delete(dimension_name=dimension_name)
def test_write_and_get_value(self):
original_value = self.tm1.cubes.cells.get_value(CUBE_NAME, 'Element1,EleMent2,ELEMENT 3')
response = self.tm1.cubes.cells.write_value(1, CUBE_NAME, ('element1', 'ELEMENT 2', 'EleMent 3'))
self.assertTrue(response.ok)
value = self.tm1.cubes.cells.get_value(CUBE_NAME, 'Element1,EleMent2,ELEMENT 3')
self.assertEqual(value, 1)
response = self.tm1.cubes.cells.write_value(2, CUBE_NAME, ('element1', 'ELEMENT 2', 'EleMent 3'))
self.assertTrue(response.ok)
value = self.tm1.cubes.cells.get_value(CUBE_NAME, 'Element1,EleMent2,ELEMENT 3')
self.assertEqual(value, 2)
self.tm1.cubes.cells.write_value(original_value, CUBE_NAME, ('element1', 'ELEMENT 2', 'EleMent 3'))
def test_write_values(self):
response = self.tm1.cubes.cells.write_values(CUBE_NAME, self.cellset)
self.assertTrue(response.ok)
def test_relative_proportional_spread_happy_case(self):
self.build_assets_for_relative_proportional_spread_tests()
cells = {
('e1', 'e1'): 1,
('e1', 'e2'): 2,
('e1', 'e3'): 3,
}
self.tm1.cubes.cells.write_values(CUBE_RPS1_NAME, cells)
self.tm1.cubes.cells.relative_proportional_spread(
value=12,
cube=CUBE_RPS1_NAME,
unique_element_names=("[" + DIMENSION_RPS1_NAME + "].[e2]", "[" + DIMENSION_RPS2_NAME + "].[c1]"),
reference_cube=CUBE_RPS1_NAME,
reference_unique_element_names=("[" + DIMENSION_RPS1_NAME + "].[c1]", "[" + DIMENSION_RPS2_NAME + "].[c1]"))
mdx = MdxBuilder.from_cube(CUBE_RPS1_NAME) \
.add_hierarchy_set_to_column_axis(MdxHierarchySet.member(Member.of(DIMENSION_RPS1_NAME, "e2"))) \
.add_hierarchy_set_to_row_axis(MdxHierarchySet.members([
Member.of(DIMENSION_RPS2_NAME, "e1"),
Member.of(DIMENSION_RPS2_NAME, "e2"),
Member.of(DIMENSION_RPS2_NAME, "e3")])).to_mdx()
values = self.tm1.cubes.cells.execute_mdx_values(mdx)
self.assertEqual(next(values), 2)
self.assertEqual(next(values), 4)
self.assertEqual(next(values), 6)
def test_relative_proportional_with_explicit_hierarchies(self):
self.build_assets_for_relative_proportional_spread_tests()
cells = {
('e1', 'e1'): 1,
('e1', 'e2'): 2,
('e1', 'e3'): 3,
}
self.tm1.cubes.cells.write_values(CUBE_RPS1_NAME, cells)
self.tm1.cubes.cells.relative_proportional_spread(
value=12,
cube=CUBE_RPS1_NAME,
unique_element_names=("[" + DIMENSION_RPS1_NAME + "].[" + DIMENSION_RPS1_NAME + "].[e2]",
"[" + DIMENSION_RPS2_NAME + "].[" + DIMENSION_RPS2_NAME + "].[c1]"),
reference_cube=CUBE_RPS1_NAME,
reference_unique_element_names=("[" + DIMENSION_RPS1_NAME + "].[" + DIMENSION_RPS1_NAME + "].[c1]",
"[" + DIMENSION_RPS2_NAME + "].[" + DIMENSION_RPS2_NAME + "].[c1]"))
mdx = MdxBuilder.from_cube(CUBE_RPS1_NAME) \
.add_hierarchy_set_to_column_axis(MdxHierarchySet.member(Member.of(DIMENSION_RPS1_NAME, "e2"))) \
.add_hierarchy_set_to_row_axis(MdxHierarchySet.members([
Member.of(DIMENSION_RPS2_NAME, "e1"),
Member.of(DIMENSION_RPS2_NAME, "e2"),
Member.of(DIMENSION_RPS2_NAME, "e3")])).to_mdx()
values = self.tm1.cubes.cells.execute_mdx_values(mdx)
self.assertEqual(next(values), 2)
self.assertEqual(next(values), 4)
self.assertEqual(next(values), 6)
def test_relative_proportional_spread_without_reference_cube(self):
self.build_assets_for_relative_proportional_spread_tests()
cells = {
('e1', 'e1'): 1,
('e1', 'e2'): 2,
('e1', 'e3'): 3,
}
self.tm1.cubes.cells.write_values(CUBE_RPS1_NAME, cells)
self.tm1.cubes.cells.relative_proportional_spread(
value=12,
cube=CUBE_RPS1_NAME,
unique_element_names=("[" + DIMENSION_RPS1_NAME + "].[e2]", "[" + DIMENSION_RPS2_NAME + "].[c1]"),
reference_unique_element_names=("[" + DIMENSION_RPS1_NAME + "].[c1]", "[" + DIMENSION_RPS2_NAME + "].[c1]"))
mdx = MdxBuilder.from_cube(CUBE_RPS1_NAME) \
.add_hierarchy_set_to_column_axis(MdxHierarchySet.member(Member.of(DIMENSION_RPS1_NAME, "e2"))) \
.add_hierarchy_set_to_row_axis(MdxHierarchySet.members([
Member.of(DIMENSION_RPS2_NAME, "e1"),
Member.of(DIMENSION_RPS2_NAME, "e2"),
Member.of(DIMENSION_RPS2_NAME, "e3")])).to_mdx()
values = self.tm1.cubes.cells.execute_mdx_values(mdx)
self.assertEqual(next(values), 2)
self.assertEqual(next(values), 4)
self.assertEqual(next(values), 6)
def test_relative_proportional_spread_with_different_reference_cube(self):
self.build_assets_for_relative_proportional_spread_tests()
cells = {
('e1', 'e1'): 1,
('e1', 'e2'): 2,
('e1', 'e3'): 3,
}
self.tm1.cubes.cells.write_values(CUBE_RPS2_NAME, cells)
self.tm1.cubes.cells.relative_proportional_spread(
value=12,
cube=CUBE_RPS1_NAME,
unique_element_names=("[" + DIMENSION_RPS1_NAME + "].[e2]", "[" + DIMENSION_RPS2_NAME + "].[c1]"),
reference_cube=CUBE_RPS2_NAME,
reference_unique_element_names=("[" + DIMENSION_RPS1_NAME + "].[c1]", "[" + DIMENSION_RPS2_NAME + "].[c1]"))
mdx = MdxBuilder.from_cube(CUBE_RPS1_NAME) \
.add_hierarchy_set_to_column_axis(MdxHierarchySet.member(Member.of(DIMENSION_RPS1_NAME, "e2"))) \
.add_hierarchy_set_to_row_axis(MdxHierarchySet.members([
Member.of(DIMENSION_RPS2_NAME, "e1"),
Member.of(DIMENSION_RPS2_NAME, "e2"),
Member.of(DIMENSION_RPS2_NAME, "e3")])).to_mdx()
values = self.tm1.cubes.cells.execute_mdx_values(mdx)
self.assertEqual(next(values), 2)
self.assertEqual(next(values), 4)
self.assertEqual(next(values), 6)
def test_execute_mdx(self):
# write cube content
self.tm1.cubes.cells.write_values(CUBE_NAME, self.cellset)
# MDX Query that gets full cube content with zero suppression
mdx = MdxBuilder.from_cube(CUBE_NAME) \
.rows_non_empty() \
.add_hierarchy_set_to_row_axis(MdxHierarchySet.all_members(DIMENSION_NAMES[0], DIMENSION_NAMES[0])) \
.add_hierarchy_set_to_row_axis(MdxHierarchySet.all_members(DIMENSION_NAMES[1], DIMENSION_NAMES[1])) \
.add_hierarchy_set_to_column_axis(MdxHierarchySet.all_members(DIMENSION_NAMES[2], DIMENSION_NAMES[2])) \
.to_mdx()
data = self.tm1.cubes.cells.execute_mdx(mdx)
# Check if total value is the same AND coordinates are the same. Handle None
self.assertEqual(self.total_value, sum([v["Value"] for v in data.values() if v["Value"]]))
# MDX with top
data = self.tm1.cubes.cells.execute_mdx(mdx, top=5)
# Check if total value is the same AND coordinates are the same. Handle None
self.assertEqual(len(data), 5)
# MDX Query with calculated MEMBER
mdx = """
WITH MEMBER[{}].[{}] AS 2
SELECT[{}].MEMBERS ON ROWS,
{{[{}].[{}]}} ON COLUMNS
FROM[{}]
WHERE([{}].DefaultMember)""".format(
DIMENSION_NAMES[1], "Calculated Member", DIMENSION_NAMES[0],
DIMENSION_NAMES[1], "Calculated Member", CUBE_NAME, DIMENSION_NAMES[2])
data = self.tm1.cubes.cells.execute_mdx(mdx, cell_properties=["Value", "Ordinal"])
self.assertEqual(1000, len(data))
self.assertEqual(2000, sum(v["Value"] for v in data.values()))
self.assertEqual(
sum(range(0, 1000)),
sum(v["Ordinal"] for v in data.values()))
def test_execute_mdx_without_rows(self):
# write cube content
self.tm1.cubes.cells.write_values(CUBE_NAME, self.cellset)
mdx = MdxBuilder.from_cube(CUBE_NAME) \
.columns_non_empty() \
.add_hierarchy_set_to_column_axis(MdxHierarchySet.all_members(DIMENSION_NAMES[0], DIMENSION_NAMES[0])) \
.add_hierarchy_set_to_column_axis(MdxHierarchySet.all_members(DIMENSION_NAMES[1], DIMENSION_NAMES[1])) \
.add_hierarchy_set_to_column_axis(MdxHierarchySet.all_members(DIMENSION_NAMES[2], DIMENSION_NAMES[2])) \
.rows_non_empty() \
.add_hierarchy_set_to_row_axis(MdxHierarchySet.from_str("", "", "{}")) \
.to_mdx()
data = self.tm1.cubes.cells.execute_mdx(mdx)
# Check if total value is the same AND coordinates are the same. Handle None
self.assertEqual(self.total_value, sum([v["Value"] for v in data.values() if v["Value"]]))
for coordinates in data.keys():
self.assertEqual(len(coordinates), 3)
self.assertIn("[TM1py_Tests_Cell_Dimension1].", coordinates[0])
self.assertIn("[TM1py_Tests_Cell_Dimension2].", coordinates[1])
self.assertIn("[TM1py_Tests_Cell_Dimension3].", coordinates[2])
def test_execute_mdx_without_columns(self):
# write cube content
self.tm1.cubes.cells.write_values(CUBE_NAME, self.cellset)
# MDX Query that gets full cube content with zero suppression
mdx = MdxBuilder.from_cube(CUBE_NAME) \
.rows_non_empty().add_hierarchy_set_to_row_axis(
MdxHierarchySet.all_members(DIMENSION_NAMES[0], DIMENSION_NAMES[0])) \
.add_hierarchy_set_to_row_axis(MdxHierarchySet.all_members(DIMENSION_NAMES[1], DIMENSION_NAMES[1])) \
.add_hierarchy_set_to_row_axis(MdxHierarchySet.all_members(DIMENSION_NAMES[2], DIMENSION_NAMES[2])) \
.columns_non_empty().add_hierarchy_set_to_column_axis(MdxHierarchySet.from_str("", "", "{}")) \
.to_mdx()
data = self.tm1.cubes.cells.execute_mdx(mdx)
# Check if total value is the same AND coordinates are the same. Handle None
self.assertEqual(self.total_value, sum([v["Value"] for v in data.values() if v["Value"]]))
for coordinates in data.keys():
self.assertEqual(len(coordinates), 3)
self.assertIn("[TM1py_Tests_Cell_Dimension1].", coordinates[0])
self.assertIn("[TM1py_Tests_Cell_Dimension2].", coordinates[1])
self.assertIn("[TM1py_Tests_Cell_Dimension3].", coordinates[2])
def test_execute_mdx_skip_contexts(self):
mdx = MdxBuilder.from_cube(CUBE_NAME) \
.add_hierarchy_set_to_row_axis(MdxHierarchySet.member(Member.of(DIMENSION_NAMES[0], "Element1"))) \
.add_hierarchy_set_to_column_axis(MdxHierarchySet.member(Member.of(DIMENSION_NAMES[1], "Element1"))) \
.add_member_to_where("[" + DIMENSION_NAMES[2] + "].[Element1]").to_mdx()
data = self.tm1.cubes.cells.execute_mdx(mdx, skip_contexts=True)
self.assertEqual(len(data), 1)
for coordinates, cell in data.items():
self.assertEqual(len(coordinates), 2)
self.assertEqual(
Utils.dimension_name_from_element_unique_name(coordinates[0]),
DIMENSION_NAMES[0])
self.assertEqual(
Utils.dimension_name_from_element_unique_name(coordinates[1]),
DIMENSION_NAMES[1])
def test_execute_mdx_skip_consolidated(self):
mdx = MdxBuilder.from_cube(CUBE_WITH_CONSOLIDATIONS_NAME) \
.add_hierarchy_set_to_row_axis(MdxHierarchySet.members([
Member.of(DIMENSIONS_WITH_CONSOLIDATIONS_NAMES[0], "Total_" + DIMENSIONS_WITH_CONSOLIDATIONS_NAMES[0]),
Member.of(DIMENSIONS_WITH_CONSOLIDATIONS_NAMES[0], "Element1")])) \
.add_hierarchy_set_to_column_axis(
MdxHierarchySet.member(Member.of(DIMENSIONS_WITH_CONSOLIDATIONS_NAMES[1], "Element1"))) \
.add_member_to_where("[" + DIMENSIONS_WITH_CONSOLIDATIONS_NAMES[2] + "].[Element1]").to_mdx()
data = self.tm1.cubes.cells.execute_mdx(mdx, skip_contexts=True, skip_consolidated_cells=True)
self.assertEqual(len(data), 1)
for coordinates, cell in data.items():
self.assertEqual(len(coordinates), 2)
self.assertEqual(
Utils.dimension_name_from_element_unique_name(coordinates[0]),
DIMENSIONS_WITH_CONSOLIDATIONS_NAMES[0])
self.assertEqual(
Utils.dimension_name_from_element_unique_name(coordinates[1]),
DIMENSIONS_WITH_CONSOLIDATIONS_NAMES[1])
def test_execute_mdx_skip_rule_derived(self):
mdx = MdxBuilder.from_cube(CUBE_WITH_RULES_NAME) \
.add_hierarchy_set_to_row_axis(MdxHierarchySet.members([
Member.of(DIMENSION_NAMES[0], "Element 1"),
Member.of(DIMENSION_NAMES[0], "Element 2")])) \
.add_hierarchy_set_to_column_axis(MdxHierarchySet.member(Member.of(DIMENSION_NAMES[1], "Element1"))) \
.add_member_to_where("[" + DIMENSION_NAMES[2] + "].[Element1]").to_mdx()
data = self.tm1.cubes.cells.execute_mdx(mdx, skip_contexts=True, skip_rule_derived_cells=True)
self.assertEqual(len(data), 1)
for coordinates, cell in data.items():
self.assertEqual(len(coordinates), 2)
self.assertEqual(
Utils.dimension_name_from_element_unique_name(coordinates[0]),
DIMENSION_NAMES[0])
self.assertEqual(
Utils.dimension_name_from_element_unique_name(coordinates[1]),
DIMENSION_NAMES[1])
def test_execute_mdx_skip_zeros(self):
mdx = MdxBuilder.from_cube(CUBE_NAME) \
.add_hierarchy_set_to_row_axis(MdxHierarchySet.members([
Member.of(DIMENSION_NAMES[0], "Element 1"),
Member.of(DIMENSION_NAMES[0], "Element 2")])) \
.add_hierarchy_set_to_column_axis(MdxHierarchySet.member(Member.of(DIMENSION_NAMES[1], "Element1"))) \
.add_member_to_where("[" + DIMENSION_NAMES[2] + "].[Element1]").to_mdx()
data = self.tm1.cubes.cells.execute_mdx(mdx, skip_contexts=False, skip_zeros=True)
self.assertEqual(len(data), 1)
for coordinates, cell in data.items():
self.assertEqual(len(coordinates), 3)
self.assertEqual(
Utils.dimension_name_from_element_unique_name(coordinates[0]),
DIMENSION_NAMES[0])
self.assertEqual(
Utils.dimension_name_from_element_unique_name(coordinates[1]),
DIMENSION_NAMES[1])
self.assertEqual(
Utils.dimension_name_from_element_unique_name(coordinates[2]),
DIMENSION_NAMES[2])
def test_execute_mdx_raw_skip_contexts(self):
mdx = MdxBuilder.from_cube(CUBE_NAME) \
.add_hierarchy_set_to_row_axis(MdxHierarchySet.member(Member.of(DIMENSION_NAMES[0], "Element1"))) \
.add_hierarchy_set_to_column_axis(MdxHierarchySet.member(Member.of(DIMENSION_NAMES[1], "Element1"))) \
.add_member_to_where("[" + DIMENSION_NAMES[2] + "].[Element1]").to_mdx()
raw_response = self.tm1.cubes.cells.execute_mdx_raw(
mdx,
skip_contexts=True,
member_properties=["UniqueName"])
self.assertEqual(len(raw_response["Axes"]), 2)
for axis in raw_response["Axes"]:
dimension_on_axis = Utils.dimension_name_from_element_unique_name(
axis["Tuples"][0]["Members"][0]["UniqueName"])
self.assertNotEqual(dimension_on_axis, DIMENSION_NAMES[2])
def test_execute_mdx_rows_and_values_one_cell(self):
mdx = MdxBuilder.from_cube(CUBE_NAME) \
.add_hierarchy_set_to_axis(1, MdxHierarchySet.member(Member.of(DIMENSION_NAMES[0], "Element1"))) \
.add_hierarchy_set_to_axis(0, MdxHierarchySet.member(Member.of(DIMENSION_NAMES[1], "Element1"))) \
.add_member_to_where("[" + DIMENSION_NAMES[2] + "].[Element1]").to_mdx()
data = self.tm1.cubes.cells.execute_mdx_rows_and_values(mdx, element_unique_names=True)
self.assertEqual(len(data), 1)
for row, cells in data.items():
dimension = Utils.dimension_name_from_element_unique_name(row[0])
self.assertEqual(dimension, DIMENSION_NAMES[0])
self.assertEqual(len(cells), 1)
def test_execute_mdx_rows_and_values_empty_cellset(self):
# make sure it's empty
self.tm1.cubes.cells.write_values(CUBE_NAME, {("Element10", "Element11", "Element13"): 0})
mdx = MdxBuilder.from_cube(CUBE_NAME) \
.rows_non_empty() \
.add_hierarchy_set_to_row_axis(MdxHierarchySet.member(Member.of(DIMENSION_NAMES[0], "Element10"))) \
.columns_non_empty() \
.add_hierarchy_set_to_column_axis(MdxHierarchySet.member(Member.of(DIMENSION_NAMES[1], "Element11"))) \
.add_member_to_where("[" + DIMENSION_NAMES[2] + "].[Element13]").to_mdx()
data = self.tm1.cubes.cells.execute_mdx_rows_and_values(mdx, element_unique_names=True)
self.assertEqual(len(data), 0)
def test_execute_mdx_rows_and_values_member_names(self):
mdx = MdxBuilder.from_cube(CUBE_NAME) \
.add_hierarchy_set_to_row_axis(MdxHierarchySet.member(Member.of(DIMENSION_NAMES[0], "Element1"))) \
.add_hierarchy_set_to_column_axis(MdxHierarchySet.member(Member.of(DIMENSION_NAMES[1], "Element1"))) \
.add_member_to_where("[" + DIMENSION_NAMES[2] + "].[Element1]").to_mdx()
data = self.tm1.cubes.cells.execute_mdx_rows_and_values(mdx, element_unique_names=False)
self.assertEqual(len(data), 1)
for row, cells in data.items():
member_name = row[0]
self.assertEqual(member_name, "Element 1")
def test_execute_mdx_rows_and_values_one_dimension_on_rows(self):
mdx = MdxBuilder.from_cube(CUBE_NAME) \
.add_hierarchy_set_to_row_axis(MdxHierarchySet.members([
Member.of(DIMENSION_NAMES[0], "Element1"),
Member.of(DIMENSION_NAMES[0], "Element2")])) \
.add_hierarchy_set_to_column_axis(MdxHierarchySet.members([
Member.of(DIMENSION_NAMES[1], "Element1"),
Member.of(DIMENSION_NAMES[1], "Element2"),
Member.of(DIMENSION_NAMES[1], "Element3")])) \
.where("[" + DIMENSION_NAMES[2] + "].[Element1]").to_mdx()
data = self.tm1.cubes.cells.execute_mdx_rows_and_values(mdx)
self.assertEqual(len(data), 2)
for row, cells in data.items():
dimension = Utils.dimension_name_from_element_unique_name(row[0])
self.assertEqual(dimension, DIMENSION_NAMES[0])
self.assertEqual(len(cells), 3)
def test_execute_mdx_rows_and_values_two_dimensions_on_rows(self):
mdx = MdxBuilder.from_cube(CUBE_NAME).add_hierarchy_set_to_axis(0, MdxHierarchySet.members([
Member.of(DIMENSION_NAMES[2], "Element1"),
Member.of(DIMENSION_NAMES[2], "Element2"),
Member.of(DIMENSION_NAMES[2], "Element3")])) \
.add_hierarchy_set_to_axis(1, MdxHierarchySet.members([
Member.of(DIMENSION_NAMES[0], "Element1"),
Member.of(DIMENSION_NAMES[0], "Element2")])). \
add_hierarchy_set_to_axis(1, MdxHierarchySet.members([
Member.of(DIMENSION_NAMES[1], "Element1"),
Member.of(DIMENSION_NAMES[1], "Element2")])).to_mdx()
data = self.tm1.cubes.cells.execute_mdx_rows_and_values(mdx)
self.assertEqual(len(data), 4)
for row, cells in data.items():
self.assertEqual(len(row), 2)
dimension = Utils.dimension_name_from_element_unique_name(row[0])
self.assertEqual(dimension, DIMENSION_NAMES[0])
dimension = Utils.dimension_name_from_element_unique_name(row[1])
self.assertEqual(dimension, DIMENSION_NAMES[1])
self.assertEqual(len(cells), 3)
def test_execute_mdx_raw_with_member_properties_with_elem_properties(self):
mdx = MdxBuilder.from_cube(CUBE_NAME) \
.rows_non_empty() \
.add_hierarchy_set_to_row_axis(MdxHierarchySet.all_members(DIMENSION_NAMES[0], DIMENSION_NAMES[0])) \
.add_hierarchy_set_to_row_axis(MdxHierarchySet.all_members(DIMENSION_NAMES[1], DIMENSION_NAMES[1])) \
.add_hierarchy_set_to_column_axis(MdxHierarchySet.all_members(DIMENSION_NAMES[2], DIMENSION_NAMES[2])) \
.to_mdx()
raw = self.tm1.cubes.cells.execute_mdx_raw(
mdx=mdx,
cell_properties=["Value", "RuleDerived"],
elem_properties=["Name", "UniqueName", "Attributes/Attr1", "Attributes/Attr2"],
member_properties=["Name", "Ordinal", "Weight"])
cells = raw["Cells"]
for cell in cells:
self.assertIn("Value", cell)
if cell["Value"]:
self.assertGreater(cell["Value"], 0)
self.assertLess(cell["Value"], 1001)
self.assertIn("RuleDerived", cell)
self.assertFalse(cell["RuleDerived"])
self.assertNotIn("Updateable", cell)
axes = raw["Axes"]
for axis in axes:
for member_tuple in axis["Tuples"]:
for member in member_tuple["Members"]:
self.assertIn("Name", member)
self.assertIn("Ordinal", member)
self.assertIn("Weight", member)
self.assertNotIn("Type", member)
element = member["Element"]
self.assertIn("Name", element)
self.assertIn("UniqueName", element)
self.assertNotIn("Type", element)
self.assertIn("Attr1", element["Attributes"])
self.assertIn("Attr2", element["Attributes"])
self.assertNotIn("Attr3", element["Attributes"])
self.assertEqual(element["Attributes"]["Attr1"], "TM1py")
self.assertEqual(element["Attributes"]["Attr2"], 2)
def test_execute_mdx_raw_with_member_properties_without_elem_properties(self):
mdx = MdxBuilder.from_cube(CUBE_NAME) \
.rows_non_empty() \
.add_hierarchy_set_to_row_axis(MdxHierarchySet.all_members(DIMENSION_NAMES[0], DIMENSION_NAMES[0])) \
.add_hierarchy_set_to_row_axis(MdxHierarchySet.all_members(DIMENSION_NAMES[1], DIMENSION_NAMES[1])) \
.add_hierarchy_set_to_column_axis(MdxHierarchySet.all_members(DIMENSION_NAMES[2], DIMENSION_NAMES[2])) \
.to_mdx()
raw = self.tm1.cubes.cells.execute_mdx_raw(
mdx=mdx,
cell_properties=["Value", "RuleDerived"],
member_properties=["Name", "Ordinal", "Weight"])
cells = raw["Cells"]
for cell in cells:
self.assertIn("Value", cell)
if cell["Value"]:
self.assertGreater(cell["Value"], 0)
self.assertLess(cell["Value"], 1001)
self.assertIn("RuleDerived", cell)
self.assertFalse(cell["RuleDerived"])
self.assertNotIn("Updateable", cell)
axes = raw["Axes"]
for axis in axes:
for member_tuple in axis["Tuples"]:
for member in member_tuple["Members"]:
self.assertIn("Name", member)
self.assertIn("Ordinal", member)
self.assertIn("Weight", member)
self.assertNotIn("Type", member)
self.assertNotIn("Element", member)
def test_execute_mdx_raw_without_member_properties_with_elem_properties(self):
mdx = MdxBuilder.from_cube(CUBE_NAME) \
.rows_non_empty() \
.add_hierarchy_set_to_row_axis(MdxHierarchySet.all_members(DIMENSION_NAMES[0], DIMENSION_NAMES[0])) \
.add_hierarchy_set_to_row_axis(MdxHierarchySet.all_members(DIMENSION_NAMES[1], DIMENSION_NAMES[1])) \
.add_hierarchy_set_to_column_axis(MdxHierarchySet.all_members(DIMENSION_NAMES[2], DIMENSION_NAMES[2])) \
.to_mdx()
raw = self.tm1.cubes.cells.execute_mdx_raw(
mdx=mdx,
cell_properties=["Value", "RuleDerived"],
elem_properties=["Name", "Type"],
member_properties=None)
cells = raw["Cells"]
for cell in cells:
self.assertIn("Value", cell)
if cell["Value"]:
self.assertGreater(cell["Value"], 0)
self.assertLess(cell["Value"], 1001)
self.assertIn("RuleDerived", cell)
self.assertFalse(cell["RuleDerived"])
self.assertNotIn("Updateable", cell)
axes = raw["Axes"]
for axis in axes:
for member_tuple in axis["Tuples"]:
for member in member_tuple["Members"]:
element = member["Element"]
self.assertIn("Name", element)
self.assertIn("Type", element)
self.assertNotIn("UniqueName", element)
self.assertNotIn("UniqueName", member)
self.assertNotIn("Ordinal", member)
def test_execute_mdx_values(self):
self.tm1.cells.write_values(CUBE_NAME, self.cellset)
mdx = MdxBuilder.from_cube(CUBE_NAME) \
.columns_non_empty() \
.add_hierarchy_set_to_column_axis(MdxHierarchySet.all_members(DIMENSION_NAMES[0], DIMENSION_NAMES[0])) \
.add_hierarchy_set_to_column_axis(MdxHierarchySet.all_members(DIMENSION_NAMES[1], DIMENSION_NAMES[1])) \
.add_hierarchy_set_to_column_axis(MdxHierarchySet.all_members(DIMENSION_NAMES[2], DIMENSION_NAMES[2])) \
.to_mdx()
cell_values = self.tm1.cubes.cells.execute_mdx_values(mdx)
self.assertIsInstance(
cell_values,
types.GeneratorType)
# Check if total value is the same. Handle None.
self.assertEqual(
self.total_value,
sum([v for v in cell_values if v]))
# Define MDX Query with calculated MEMBER
mdx = "WITH MEMBER[{}].[{}] AS 2 " \
"SELECT[{}].MEMBERS ON ROWS, " \
"{{[{}].[{}]}} ON COLUMNS " \
"FROM[{}] " \
"WHERE([{}].DefaultMember)".format(DIMENSION_NAMES[1], "Calculated Member", DIMENSION_NAMES[0],
DIMENSION_NAMES[1], "Calculated Member", CUBE_NAME, DIMENSION_NAMES[2])
data = self.tm1.cubes.cells.execute_mdx_values(mdx)
self.assertEqual(
1000,
len(list(data)))
data = self.tm1.cubes.cells.execute_mdx_values(mdx)
self.assertEqual(
2000,
sum(data))
def test_execute_mdx_csv(self):
mdx = MdxBuilder.from_cube(CUBE_NAME) \
.rows_non_empty() \
.add_hierarchy_set_to_row_axis(MdxHierarchySet.all_members(DIMENSION_NAMES[0], DIMENSION_NAMES[0])) \
.add_hierarchy_set_to_row_axis(MdxHierarchySet.all_members(DIMENSION_NAMES[1], DIMENSION_NAMES[1])) \
.add_hierarchy_set_to_column_axis(MdxHierarchySet.all_members(DIMENSION_NAMES[2], DIMENSION_NAMES[2])) \
.to_mdx()
csv = self.tm1.cubes.cells.execute_mdx_csv(mdx)
# check header
header = csv.split('\r\n')[0]
self.assertEqual(
",".join(DIMENSION_NAMES + ["Value"]),
header)
# check type
self.assertIsInstance(csv, str)
records = csv.split('\r\n')[1:]
coordinates = {tuple(record.split(',')[0:3])
for record
in records if record != '' and records[4] != 0}
# check number of coordinates (with values)
self.assertEqual(
len(coordinates),
len(self.target_coordinates))
# check if coordinates are the same
self.assertTrue(coordinates.issubset(self.target_coordinates))
values = [float(record.split(',')[3])
for record
in records if record != '']
# check if sum of retrieved values is sum of written values
self.assertEqual(
self.total_value,
sum(values))
def test_execute_mdx_csv_empty_cellset(self):
mdx = MdxBuilder.from_cube(CUBE_NAME) \
.rows_non_empty() \
.add_hierarchy_set_to_row_axis(MdxHierarchySet.member(Member.of(DIMENSION_NAMES[0], "Element9"))) \
.add_hierarchy_set_to_row_axis(MdxHierarchySet.member(Member.of(DIMENSION_NAMES[1], "Element 18"))) \
.add_hierarchy_set_to_column_axis(MdxHierarchySet.member(Member.of(DIMENSION_NAMES[2], "Element 2"))) \
.to_mdx()
csv = self.tm1.cubes.cells.execute_mdx_csv(mdx)
self.assertEqual("", csv)
def test_execute_mdx_csv_skip_rule_derived(self):
mdx = MdxBuilder.from_cube(CUBE_WITH_RULES_NAME) \
.rows_non_empty() \
.add_hierarchy_set_to_row_axis(
MdxHierarchySet.all_members(DIMENSION_NAMES[1], DIMENSION_NAMES[1]).head(100)) \
.add_hierarchy_set_to_column_axis(
MdxHierarchySet.all_members(DIMENSION_NAMES[2], DIMENSION_NAMES[2]).head(100)) \
.add_member_to_where(Member.of(DIMENSION_NAMES[0], "Element1")) \
.to_mdx()
csv = self.tm1.cubes.cells.execute_mdx_csv(mdx, skip_rule_derived_cells=True)
self.assertEqual("", csv)
def test_execute_mdx_csv_top(self):
mdx = MdxBuilder.from_cube(CUBE_NAME) \
.add_hierarchy_set_to_row_axis(
MdxHierarchySet.all_members(DIMENSION_NAMES[1], DIMENSION_NAMES[1]).head(10)) \
.add_hierarchy_set_to_column_axis(
MdxHierarchySet.all_members(DIMENSION_NAMES[2], DIMENSION_NAMES[2]).head(10)) \
.add_member_to_where(Member.of(DIMENSION_NAMES[0], "Element1")) \
.to_mdx()
csv = self.tm1.cubes.cells.execute_mdx_csv(mdx, top=10, skip_zeros=False)
records = csv.split("\r\n")
self.assertEqual(11, len(records))
def test_execute_mdx_csv_skip(self):
mdx = MdxBuilder.from_cube(CUBE_NAME) \
.add_hierarchy_set_to_row_axis(
MdxHierarchySet.all_members(DIMENSION_NAMES[1], DIMENSION_NAMES[1]).head(10)) \
.add_hierarchy_set_to_column_axis(
MdxHierarchySet.all_members(DIMENSION_NAMES[2], DIMENSION_NAMES[2]).head(10)) \
.add_member_to_where(Member.of(DIMENSION_NAMES[0], "Element1")) \
.to_mdx()
csv = self.tm1.cubes.cells.execute_mdx_csv(mdx, skip=10, skip_zeros=False)
records = csv.split("\r\n")
self.assertEqual(91, len(records))
def test_execute_mdx_csv_with_calculated_member(self):
# MDX Query with calculated MEMBER
mdx = MdxBuilder.from_cube(CUBE_NAME).with_member(CalculatedMember.lookup_attribute(
DIMENSION_NAMES[1],
DIMENSION_NAMES[1],
"Calculated Member",
DIMENSION_NAMES[0],
"Attr3")) \
.add_hierarchy_set_to_row_axis(MdxHierarchySet.all_members(DIMENSION_NAMES[0], DIMENSION_NAMES[0])) \
.add_hierarchy_set_to_column_axis(
MdxHierarchySet.member(Member.of(DIMENSION_NAMES[1], "Calculated Member"))) \
.to_mdx()
csv = self.tm1.cubes.cells.execute_mdx_csv(mdx)
# check header
header = csv.split('\r\n')[0]
self.assertEqual(
",".join(DIMENSION_NAMES[0:2] + ["Value"]),
header)
# check coordinates
records = csv.split('\r\n')[1:]
coordinates = {tuple(record.split(',')[0:2])
for record
in records if record != '' and records[4] != 0}
# check number of coordinates (with values)
self.assertEqual(len(coordinates), 1000)
# Check if retrieved values are equal to attribute value
values = [float(record.split(',')[2])
for record
in records if record != ""]
for value in values:
self.assertEqual(value, 3)
def test_execute_mdx_elements_value_dict(self):
mdx = MdxBuilder.from_cube(CUBE_NAME) \
.rows_non_empty() \
.add_hierarchy_set_to_row_axis(MdxHierarchySet.all_members(DIMENSION_NAMES[0], DIMENSION_NAMES[0])) \
.add_hierarchy_set_to_row_axis(MdxHierarchySet.all_members(DIMENSION_NAMES[1], DIMENSION_NAMES[1])) \
.add_hierarchy_set_to_column_axis(MdxHierarchySet.all_members(DIMENSION_NAMES[2], DIMENSION_NAMES[2])) \
.to_mdx()
values = self.tm1.cubes.cells.execute_mdx_elements_value_dict(mdx)
# check type
self.assertIsInstance(values, dict)
# check coordinates
coordinates = {key for key, value in values.items()}
self.assertEqual(len(coordinates), len(self.target_coordinates))
# check values
values = [float(value) for _, value in values.items()]
self.assertEqual(self.total_value, sum(values))
def test_execute_mdx_dataframe(self):
mdx = MdxBuilder.from_cube(CUBE_NAME) \
.rows_non_empty() \
.add_hierarchy_set_to_row_axis(MdxHierarchySet.all_members(DIMENSION_NAMES[0], DIMENSION_NAMES[0])) \
.add_hierarchy_set_to_row_axis(MdxHierarchySet.all_members(DIMENSION_NAMES[1], DIMENSION_NAMES[1])) \
.add_hierarchy_set_to_column_axis(MdxHierarchySet.all_members(DIMENSION_NAMES[2], DIMENSION_NAMES[2])) \
.to_mdx()
df = self.tm1.cubes.cells.execute_mdx_dataframe(mdx)
# check type
self.assertIsInstance(df, pd.DataFrame)
# check coordinates in df are equal to target coordinates
coordinates = {
tuple(row)
for row
in df[[*DIMENSION_NAMES]].values}
self.assertEqual(
len(coordinates),
len(self.target_coordinates))
self.assertTrue(coordinates.issubset(self.target_coordinates))
# check if total values are equal
values = df[["Value"]].values
self.assertEqual(
self.total_value,
sum(values))
def test_execute_mdx_dataframe_pivot(self):
mdx = MdxBuilder.from_cube(CUBE_NAME) \
.add_hierarchy_set_to_row_axis(MdxHierarchySet.all_members(DIMENSION_NAMES[0], DIMENSION_NAMES[0]).head(7)) \
.add_hierarchy_set_to_column_axis(
MdxHierarchySet.all_members(DIMENSION_NAMES[1], DIMENSION_NAMES[1]).head(8)) \
.where(Member.of(DIMENSION_NAMES[2], "Element1")) \
.to_mdx()
pivot = self.tm1.cubes.cells.execute_mdx_dataframe_pivot(mdx=mdx)
self.assertEqual(pivot.shape, (7, 8))
def test_execute_mdx_dataframe_pivot_no_titles(self):
mdx = MdxBuilder.from_cube(CUBE_NAME) \
.add_hierarchy_set_to_row_axis(MdxHierarchySet.all_members(DIMENSION_NAMES[0], DIMENSION_NAMES[0]).head(7)) \
.add_hierarchy_set_to_column_axis(
MdxHierarchySet.all_members(DIMENSION_NAMES[1], DIMENSION_NAMES[1]).head(5)) \
.add_hierarchy_set_to_column_axis(
MdxHierarchySet.all_members(DIMENSION_NAMES[2], DIMENSION_NAMES[2]).head(5)) \
.to_mdx()
pivot = self.tm1.cubes.cells.execute_mdx_dataframe_pivot(mdx=mdx)
self.assertEqual(pivot.shape, (7, 5 * 5))
def test_execute_mdx_cellcount(self):
mdx = MdxBuilder.from_cube(CUBE_NAME) \
.rows_non_empty() \
.add_hierarchy_set_to_row_axis(MdxHierarchySet.all_members(DIMENSION_NAMES[0], DIMENSION_NAMES[0])) \
.add_hierarchy_set_to_row_axis(MdxHierarchySet.all_members(DIMENSION_NAMES[1], DIMENSION_NAMES[1])) \
.columns_non_empty() \
.add_hierarchy_set_to_column_axis(MdxHierarchySet.all_members(DIMENSION_NAMES[2], DIMENSION_NAMES[2])) \
.to_mdx()
cell_count = self.tm1.cubes.cells.execute_mdx_cellcount(mdx)
self.assertGreater(cell_count, 1000)
def test_execute_mdx_rows_and_values_string_set_one_row_dimension(self):
mdx = MdxBuilder.from_cube(STRING_CUBE_NAME) \
.add_hierarchy_set_to_row_axis(MdxHierarchySet.tm1_subset_all(STRING_DIMENSION_NAMES[0])) \
.add_hierarchy_set_to_column_axis(MdxHierarchySet.tm1_subset_all(STRING_DIMENSION_NAMES[1])) \
.add_hierarchy_set_to_column_axis(MdxHierarchySet.tm1_subset_all(STRING_DIMENSION_NAMES[2])) \
.to_mdx()
elements_and_string_values = self.tm1.cubes.cells.execute_mdx_rows_and_values_string_set(mdx)
self.assertEqual(
set(elements_and_string_values),
{"d1e1", "d1e2", "d1e3", "d1e4", "String1", "String2", "String3"})
def test_execute_mdx_rows_and_values_string_set_two_row_dimensions(self):
mdx = MdxBuilder.from_cube(STRING_CUBE_NAME) \
.add_hierarchy_set_to_row_axis(MdxHierarchySet.tm1_subset_all(STRING_DIMENSION_NAMES[0])) \
.add_hierarchy_set_to_row_axis(MdxHierarchySet.tm1_subset_all(STRING_DIMENSION_NAMES[1])) \
.add_hierarchy_set_to_column_axis(MdxHierarchySet.tm1_subset_all(STRING_DIMENSION_NAMES[2])) \
.to_mdx()
elements_and_string_values = self.tm1.cubes.cells.execute_mdx_rows_and_values_string_set(mdx)