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CellService_test.py
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import configparser
import unittest
from pathlib import Path
from mdxpy import CalculatedMember, MdxBuilder, MdxHierarchySet, Member, DimensionProperty
from TM1py import Sandbox
from TM1py.Exceptions.Exceptions import TM1pyException, TM1pyVersionException, TM1pyWritePartialFailureException, \
TM1pyWriteFailureException, TM1pyRestException
from TM1py.Objects import (AnonymousSubset, Cube, Dimension, Element,
ElementAttribute, Hierarchy, MDXView, NativeView)
from TM1py.Services import TM1Service
from TM1py.Utils import Utils, element_names_from_element_unique_names, CaseAndSpaceInsensitiveDict, \
CaseAndSpaceInsensitiveTuplesDict, verify_version
from .Utils import skip_if_insufficient_version, skip_if_no_pandas, skip_if_deprecated_in_version
try:
import pandas as pd
except ImportError:
pass
class TestCellService(unittest.TestCase):
tm1: TM1Service
prefix = 'TM1py_Tests_Cell_'
cube_name = prefix + "Cube"
view_name = prefix + "View"
mdx_view_name = prefix + "MdxView"
mdx_view_2_name = prefix + "MdxView2"
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"
sandbox_name = prefix + "sandbox"
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))))
dimension_with_hierarchies_name = prefix + "Dimension_With_Hierarchies"
cube_with_five_dimensions = prefix + "Cube_with_five_dimensions"
five_dimensions = [
cube_with_five_dimensions + "_" + str(1),
cube_with_five_dimensions + "_" + str(2),
cube_with_five_dimensions + "_" + str(3),
cube_with_five_dimensions + "_" + str(4),
cube_with_five_dimensions + "_" + str(5)
]
@classmethod
def setUpClass(cls):
"""
Establishes a connection to TM1 and creates TM1 objects to use across all tests
"""
# Connection to TM1
cls.config = configparser.ConfigParser()
cls.config.read(Path(__file__).parent.joinpath('config.ini'))
cls.tm1 = TM1Service(**cls.config['tm1srv01'])
# Build Dimensions
for dimension_name in cls.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"),
ElementAttribute("NA", "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.update_or_create(dimension)
cls._write_attribute_values()
# Build Cube
cube = Cube(cls.cube_name, cls.dimension_names)
if not cls.tm1.cubes.exists(cls.cube_name):
cls.tm1.cubes.update_or_create(cube)
# Build cube view
view = NativeView(
cube_name=cls.cube_name,
view_name=cls.view_name,
suppress_empty_columns=True,
suppress_empty_rows=True)
view.add_row(
dimension_name=cls.dimension_names[0],
subset=AnonymousSubset(
dimension_name=cls.dimension_names[0],
expression='{[' + cls.dimension_names[0] + '].Members}'))
view.add_row(
dimension_name=cls.dimension_names[1],
subset=AnonymousSubset(
dimension_name=cls.dimension_names[1],
expression='{[' + cls.dimension_names[1] + '].Members}'))
view.add_column(
dimension_name=cls.dimension_names[2],
subset=AnonymousSubset(
dimension_name=cls.dimension_names[2],
expression='{[' + cls.dimension_names[2] + '].Members}'))
if not cls.tm1.views.exists(cls.cube_name, view.name, private=False):
cls.tm1.views.update_or_create(
view=view,
private=False)
# build mdx cube view
query = MdxBuilder.from_cube(cls.cube_name)
query = query.rows_non_empty().columns_non_empty()
query.add_hierarchy_set_to_row_axis(MdxHierarchySet.all_members(
cls.dimension_names[0],
cls.dimension_names[0]))
query.add_hierarchy_set_to_row_axis(MdxHierarchySet.all_members(
cls.dimension_names[1],
cls.dimension_names[1]))
query.add_hierarchy_set_to_column_axis(MdxHierarchySet.all_members(
cls.dimension_names[2],
cls.dimension_names[2]))
mdx_view = MDXView(cls.cube_name, cls.mdx_view_name, query.to_mdx())
cls.tm1.views.update_or_create(mdx_view, private=False)
mdx = MdxBuilder.from_cube(cls.cube_name) \
.add_member_tuple_to_columns(Member.of(cls.dimension_names[0], "Element1")) \
.add_member_tuple_to_rows(Member.of(cls.dimension_names[1], "Element1")) \
.add_member_to_where(Member.of(cls.dimension_names[2], "Element1")) \
.to_mdx()
mdx_view = MDXView(cls.cube_name, view_name=cls.mdx_view_2_name, MDX=mdx)
cls.tm1.views.update_or_create(mdx_view)
cls.build_cube_with_rules()
cls.build_cube_with_consolidations()
# For tests on string related methods
cls.build_string_cube()
cls.build_assets_for_relative_proportional_spread()
cls.create_or_update_dimension_with_hierarchies()
cls.create_cube_with_five_dimensions()
@classmethod
def _write_attribute_values(cls):
for dimension_name in cls.dimension_names:
elements = [
Element('Element {}'.format(str(j)), 'Numeric')
for j
in range(1, 1001)]
attribute_cube = "}ElementAttributes_" + dimension_name
attribute_values = {}
for element in elements:
attribute_values[(element.name, "Attr1")] = "TM1py" if element.name != 'Element 2' else ''
attribute_values[(element.name, "Attr2")] = "2"
attribute_values[(element.name, "Attr3")] = "3"
attribute_values[(element.name, "NA")] = "4"
cls.tm1.cells.write(attribute_cube, attribute_values, use_blob=True)
def setUp(self):
"""
Reset data before each test run
"""
# set correct version before test, as it is overwritten in a test case
self.tm1._tm1_rest.set_version()
# populate data in cube
# cellset of data that shall be written
self.cellset = Utils.CaseAndSpaceInsensitiveTuplesDict()
value = 1
for element1, element2, element3 in self.target_coordinates:
self.cellset[(element1, element2, element3)] = value
# Sum of all the values that we write in the cube. serves as a checksum.
self.total_value = sum(self.cellset.values())
# Fill cube with values
self.tm1.cells.write_values(self.cube_name, self.cellset)
self.tm1.cells.write_values(self.string_cube_name, self.cells_in_string_cube)
if not self.tm1.sandboxes.exists(self.sandbox_name):
self.tm1.sandboxes.create(Sandbox(self.sandbox_name, True))
self._write_attribute_values()
def tearDown(self):
"""
Clear data from cubes after each test run
"""
self.tm1.processes.execute_ti_code("CubeClearData('" + self.cube_name + "');")
self.tm1.processes.execute_ti_code("CubeClearData('" + self.string_cube_name + "');")
self.tm1.processes.execute_ti_code("CubeClearData('" + self.cube_rps1_name + "');")
self.tm1.processes.execute_ti_code("CubeClearData('" + self.cube_rps2_name + "');")
@classmethod
def build_string_cube(cls):
if cls.tm1.cubes.exists(cls.string_cube_name):
cls.tm1.cubes.delete(cls.string_cube_name)
for d, dimension_name in enumerate(cls.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)
cls.tm1.dimensions.update_or_create(dimension)
cube = Cube(name=cls.string_cube_name, dimensions=cls.string_dimension_names)
cls.tm1.elements.add_elements(
dimension_name=cube.dimensions[-1],
hierarchy_name=cube.dimensions[-1],
elements=[Element("n1", "Numeric")])
cls.tm1.cubes.update_or_create(cube)
@classmethod
def remove_string_cube(cls):
if cls.tm1.cubes.exists(cube_name=cls.string_cube_name):
cls.tm1.cubes.delete(cube_name=cls.string_cube_name)
for dimension_name in cls.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=cls.cube_with_rules_name, dimensions=cls.dimension_names)
cube.rules = f"""
['{cls.dimension_names[0]}':'Element1'] = N: 1;\r\n
['{cls.dimension_names[0]}':'Element2'] = N: ['{cls.dimension_names[0]}':'Element1'] ;\r\n
['{cls.dimension_names[0]}':'Element3'] = N: ['{cls.dimension_names[0]}':'Element2'] ;\r\n
"""
cls.tm1.cubes.update_or_create(cube)
@classmethod
def remove_cube_with_rules(cls):
cls.tm1.cubes.delete(cls.cube_with_rules_name)
@classmethod
def build_cube_with_consolidations(cls):
for dimension_name_source, dimension_name_target in zip(cls.dimension_names,
cls.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.update_or_create(dimension)
cube = Cube(name=cls.cube_with_consolidations_name, dimensions=cls.dimensions_with_consolidations_names)
cls.tm1.cubes.update_or_create(cube)
@classmethod
def remove_cube_with_consolidations(cls):
if cls.tm1.cubes.exists(cube_name=cls.cube_with_consolidations_name):
cls.tm1.cubes.delete(cube_name=cls.cube_with_consolidations_name)
for dimension_name in cls.dimensions_with_consolidations_names:
if cls.tm1.dimensions.exists(dimension_name=dimension_name):
cls.tm1.dimensions.delete(dimension_name=dimension_name)
@classmethod
def create_cube_with_five_dimensions(cls):
for dimension_name in cls.five_dimensions:
hierarchy = Hierarchy(
dimension_name=dimension_name,
name=dimension_name,
elements=[Element("e1", "Numeric"), Element("e2", "Numeric"), Element("e3", "Numeric")])
dimension = Dimension(name=dimension_name, hierarchies=[hierarchy])
cls.tm1.dimensions.update_or_create(dimension)
cube = Cube(cls.cube_with_five_dimensions, dimensions=cls.five_dimensions)
cls.tm1.cubes.update_or_create(cube)
cells = {
("e1", "e1", "e1", "e1", "e1"): 1,
("e2", "e2", "e2", "e2", "e2"): 2,
("e3", "e3", "e3", "e3", "e3"): 3
}
cls.tm1.cells.write(cls.cube_with_five_dimensions, cells)
@classmethod
def remove_cube_with_five_dimensions(cls):
if cls.tm1.cubes.exists(cube_name=cls.cube_with_five_dimensions):
cls.tm1.cubes.delete(cube_name=cls.cube_with_five_dimensions)
for dimension_name in cls.five_dimensions:
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(cls):
for dimension_name in (cls.dimension_rps1_name, cls.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.update_or_create(dimension)
for cube_name in (cls.cube_rps1_name, cls.cube_rps2_name):
cube = Cube(name=cube_name, dimensions=(cls.dimension_rps1_name, cls.dimension_rps2_name))
if not cls.tm1.cubes.exists(cube.name):
cls.tm1.cubes.update_or_create(cube)
# zero out cube
cls.tm1.processes.execute_ti_code("CubeClearData('" + cube_name + "');")
@classmethod
def remove_assets_for_relative_proportional_spread(cls):
for cube_name in (cls.cube_rps1_name, cls.cube_rps2_name):
if cls.tm1.cubes.exists(cube_name):
cls.tm1.cubes.delete(cube_name=cube_name)
for dimension_name in (cls.dimension_rps1_name, cls.dimension_rps2_name):
if cls.tm1.dimensions.exists(dimension_name):
cls.tm1.dimensions.delete(dimension_name=dimension_name)
@classmethod
def create_or_update_dimension_with_hierarchies(cls):
dimension = Dimension(cls.dimension_with_hierarchies_name)
dimension.add_hierarchy(
Hierarchy(
name="Hierarchy1",
dimension_name=dimension.name,
elements=[Element("Elem1", "Numeric"), Element("Elem2", "Numeric"), Element("Elem3", "Numeric")],
element_attributes=[ElementAttribute("ea1", "String"), ElementAttribute("ea2", "String")]))
dimension.add_hierarchy(
Hierarchy(
name="Hierarchy2",
dimension_name=dimension.name,
elements=[Element("Elem4", "Numeric"), Element("Elem6", "Numeric"), Element("Cons1", "Consolidated")]))
dimension.add_hierarchy(
Hierarchy(
name="Hierarchy3",
dimension_name=dimension.name,
elements=[Element("Elem5", "Numeric"), Element("Cons2", "Consolidated"),
Element("Cons3", "Consolidated")]))
cls.tm1.dimensions.update_or_create(dimension)
cells = {
("Hierarchy1:Elem1", "ea1"): "123",
("Hierarchy2:Cons1", "ea2"): "ABC",
("Hierarchy3:Cons2", "ea2"): "DEF"}
cls.tm1.cells.write("}ElementAttributes_" + cls.dimension_with_hierarchies_name, cells, use_ti=True)
def test_write_and_get_value(self):
original_value = self.tm1.cells.get_value(self.cube_name, 'Element1,EleMent2,ELEMENT 3')
response = self.tm1.cells.write_value(1, self.cube_name, ('element1', 'ELEMENT 2', 'EleMent 3'))
self.assertTrue(response.ok)
value = self.tm1.cells.get_value(self.cube_name, 'Element1,EleMent2,ELEMENT 3')
self.assertEqual(value, 1)
response = self.tm1.cells.write_value(2, self.cube_name, ('element1', 'ELEMENT 2', 'EleMent 3'))
self.assertTrue(response.ok)
value = self.tm1.cells.get_value(self.cube_name, 'Element1,EleMent2,ELEMENT 3')
self.assertEqual(value, 2)
self.tm1.cells.write_value(original_value, self.cube_name, ('element1', 'ELEMENT 2', 'EleMent 3'))
def test_get_value_iterator(self):
original_value = self.tm1.cells.get_value(self.cube_name, 'Element1, Element2, Element3')
response = self.tm1.cells.write_value(3, self.cube_name, ('element1', 'ELEMENT 2', 'EleMent 3'))
self.assertTrue(response.ok)
value = self.tm1.cells.get_value(self.cube_name, (
(self.dimension_names[0], 'Element1'),
(self.dimension_names[1], 'EleMent2'),
(self.dimension_names[2], 'ELEMENT 3')
))
self.assertEqual(value, 3)
self.tm1.cells.write_value(original_value, self.cube_name, ('element1', 'ELEMENT 2', 'EleMent 3'))
def test_write_and_get_value_hierarchy(self):
original_value = self.tm1.cells.get_value(self.cube_name, 'Element1,EleMent2,ELEMENT 3')
response = self.tm1.cells.write_value(4, self.cube_name, ('element1', 'ELEMENT 2', 'EleMent 3'))
self.assertTrue(response.ok)
value = self.tm1.cells.get_value(
self.cube_name,
f'{self.dimension_names[0]}::Element1,EleMent2,{self.dimension_names[2]}::ELEMENT 3')
self.assertEqual(value, 4)
self.tm1.cells.write_value(original_value, self.cube_name, ('element1', 'ELEMENT 2', 'EleMent 3'))
def test_get_value_iterator_hierarchy(self):
original_value = self.tm1.cells.get_value(self.cube_name, 'Element1, Element2, Element3')
response = self.tm1.cells.write_value(5, self.cube_name, ('element1', 'ELEMENT 2', 'EleMent 3'))
self.assertTrue(response.ok)
value = self.tm1.cells.get_value(self.cube_name, [
(self.dimension_names[0], self.dimension_names[0], 'Element1'),
(self.dimension_names[1], 'EleMent2'),
Member.of(self.dimension_names[2], self.dimension_names[2], 'ELEMENT 3')
])
self.assertEqual(value, 5)
self.tm1.cells.write_value(original_value, self.cube_name, ('element1', 'ELEMENT 2', 'EleMent 3'))
def test_write_and_get_value_changed_separator(self):
original_value = self.tm1.cells.get_value(self.cube_name, 'Element1,EleMent2,ELEMENT 3')
response = self.tm1.cells.write_value(6, self.cube_name, ('element1', 'ELEMENT 2', 'EleMent 3'))
self.assertTrue(response.ok)
value = self.tm1.cells.get_value(
self.cube_name,
f'{self.dimension_names[0]}$$Element1;EleMent2;{self.dimension_names[2]} $$ ELEMENT 3',
element_separator=";",
hierarchy_element_separator="$$"
)
self.assertEqual(value, 6)
self.tm1.cells.write_value(original_value, self.cube_name, ('element1', 'ELEMENT 2', 'EleMent 3'))
def test_get_value_old_interface(self):
""" Tests if the old function interface with parameter element_string is still usable -> for backwards compatibility """
original_value = self.tm1.cells.get_value(self.cube_name, 'Element1,EleMent2,ELEMENT 3')
response = self.tm1.cells.write_value(7, self.cube_name, ('element1', 'ELEMENT 2', 'EleMent 3'))
self.assertTrue(response.ok)
value = self.tm1.cells.get_value(self.cube_name, element_string='Element1,EleMent2,ELEMENT 3')
self.assertEqual(value, 7)
self.tm1.cells.write_value(original_value, self.cube_name, ('element1', 'ELEMENT 2', 'EleMent 3'))
def test_write_values(self):
cells = {("Element 2", "Element4", "Element7"): 716}
self.tm1.cells.write_values(self.cube_name, cells)
query = MdxBuilder.from_cube(self.cube_name)
query.add_member_tuple_to_columns(
f"[{self.dimension_names[0]}].[Element 2]",
f"[{self.dimension_names[1]}].[Element 4]",
f"[{self.dimension_names[2]}].[Element 7]")
self.assertEqual(self.tm1.cells.execute_mdx_values(mdx=query.to_mdx()), [716])
def test_write(self):
cells = {("Element 1", "Element4", "Element9"): 717}
self.tm1.cells.write(self.cube_name, cells)
query = MdxBuilder.from_cube(self.cube_name)
query.add_member_tuple_to_columns(
f"[{self.dimension_names[0]}].[Element 1]",
f"[{self.dimension_names[1]}].[Element 4]",
f"[{self.dimension_names[2]}].[Element 9]")
self.assertEqual(self.tm1.cells.execute_mdx_values(mdx=query.to_mdx()), [717])
def test_write_use_ti(self):
cells = {("Element 1", "Element4", "Element9"): 1234}
self.tm1.cells.write(self.cube_name, cells, use_ti=True, use_changeset=False)
query = MdxBuilder.from_cube(self.cube_name)
query.add_member_tuple_to_columns(
f"[{self.dimension_names[0]}].[Element 1]",
f"[{self.dimension_names[1]}].[Element 4]",
f"[{self.dimension_names[2]}].[Element 9]")
self.assertEqual(self.tm1.cells.execute_mdx_values(mdx=query.to_mdx()), [1234])
def test_write_use_blob(self):
cells = {("Element 1", "Element4", "Element9"): 1234}
self.tm1.cells.write(self.cube_name, cells, use_blob=True, use_changeset=False)
query = MdxBuilder.from_cube(self.cube_name)
query.add_member_tuple_to_columns(
f"[{self.dimension_names[0]}].[Element 1]",
f"[{self.dimension_names[1]}].[Element 4]",
f"[{self.dimension_names[2]}].[Element 9]")
self.assertEqual(self.tm1.cells.execute_mdx_values(mdx=query.to_mdx()), [1234])
def test_write_use_blob_allow_spread(self):
cells = {("Element 1", "Element4", "Element9"): 1,
("Element 1", "Element4", "TOTAL_TM1py_Tests_Cell_Dimension3_With_Consolidations"): 54321}
try:
self.tm1.cells.write(self.cube_with_consolidations_name, cells, use_blob=True, allow_spread=True)
except (TM1pyWriteFailureException, TM1pyWritePartialFailureException) as ex:
for log_file in ex.error_log_files:
print(self.tm1.processes.get_error_log_file_content(log_file))
query = MdxBuilder.from_cube(self.cube_with_consolidations_name)
query.add_member_tuple_to_columns(
f"[{self.dimensions_with_consolidations_names[0]}].[Element 1]",
f"[{self.dimensions_with_consolidations_names[1]}].[Element 4]",
f"[{self.dimensions_with_consolidations_names[2]}].[TOTAL_TM1py_Tests_Cell_Dimension3_With_Consolidations]")
self.assertAlmostEqual(54321, self.tm1.cells.execute_mdx_values(mdx=query.to_mdx())[0], delta=0.0001)
def test_write_use_ti_allow_spread(self):
cells = {("Element 1", "Element4", "Element9"): 1,
("Element 1", "Element4", "TOTAL_TM1py_Tests_Cell_Dimension3_With_Consolidations"): 54321}
try:
self.tm1.cells.write(self.cube_with_consolidations_name, cells, use_ti=True, allow_spread=True)
except (TM1pyWriteFailureException, TM1pyWritePartialFailureException) as ex:
for log_file in ex.error_log_files:
print(self.tm1.processes.get_error_log_file_content(log_file))
query = MdxBuilder.from_cube(self.cube_with_consolidations_name)
query.add_member_tuple_to_columns(
f"[{self.dimensions_with_consolidations_names[0]}].[Element 1]",
f"[{self.dimensions_with_consolidations_names[1]}].[Element 4]",
f"[{self.dimensions_with_consolidations_names[2]}].[TOTAL_TM1py_Tests_Cell_Dimension3_With_Consolidations]")
self.assertAlmostEqual(54321, self.tm1.cells.execute_mdx_values(mdx=query.to_mdx())[0], delta=0.0001)
def test_write_use_ti_skip_non_updateable(self):
cells = CaseAndSpaceInsensitiveTuplesDict()
cells["Element 1", "Element4", "TOTAL_" + self.dimensions_with_consolidations_names[2]] = 5
cells["Element 1", "Element22", "Element9"] = 8
self.tm1.cells.write(self.cube_with_consolidations_name, cells, use_ti=True, skip_non_updateable=True)
query = MdxBuilder.from_cube(self.cube_with_consolidations_name)
query.add_member_tuple_to_columns(
f"[{self.dimensions_with_consolidations_names[0]}].[Element 1]",
f"[{self.dimensions_with_consolidations_names[1]}].[Element 22]",
f"[{self.dimensions_with_consolidations_names[2]}].[Element 9]")
self.assertEqual(self.tm1.cells.execute_mdx_values(mdx=query.to_mdx()), [8])
def test_write_skip_non_updateable(self):
cells = CaseAndSpaceInsensitiveTuplesDict()
cells["Element 1", "Element4", "TOTAL_" + self.dimensions_with_consolidations_names[2]] = 5
cells["Element 4", "Element7", "Element9"] = 8
self.tm1.cells.write(self.cube_with_consolidations_name, cells, skip_non_updateable=True)
query = MdxBuilder.from_cube(self.cube_with_consolidations_name)
query.add_member_tuple_to_columns(
f"[{self.dimensions_with_consolidations_names[0]}].[Element 4]",
f"[{self.dimensions_with_consolidations_names[1]}].[Element 7]",
f"[{self.dimensions_with_consolidations_names[2]}].[Element 9]")
self.assertEqual(self.tm1.cells.execute_mdx_values(mdx=query.to_mdx()), [8])
def test_write_increment_true(self):
cells = {("Element 1", "Element5", "Element8"): 211}
self.tm1.cells.write(self.cube_name, cells)
self.tm1.cells.write(self.cube_name, cells, increment=True)
query = MdxBuilder.from_cube(self.cube_name)
query.add_member_tuple_to_columns(
f"[{self.dimension_names[0]}].[Element 1]",
f"[{self.dimension_names[1]}].[Element 5]",
f"[{self.dimension_names[2]}].[Element 8]")
self.assertEqual(self.tm1.cells.execute_mdx_values(mdx=query.to_mdx()), [422])
def test_write_increment_false(self):
cells = {("Element 1", "Element5", "Element8"): 211}
self.tm1.cells.write(self.cube_name, cells)
self.tm1.cells.write(self.cube_name, cells, increment=False)
query = MdxBuilder.from_cube(self.cube_name)
query.add_member_tuple_to_columns(
f"[{self.dimension_names[0]}].[Element 1]",
f"[{self.dimension_names[1]}].[Element 5]",
f"[{self.dimension_names[2]}].[Element 8]")
self.assertEqual(self.tm1.cells.execute_mdx_values(mdx=query.to_mdx()), [211])
def test_write_through_unbound_process_happy_case(self):
cells = dict()
cells["Element 1", "Element4", "Element9"] = 719
self.tm1.cells.write_through_unbound_process(self.cube_name, cells)
query = MdxBuilder.from_cube(self.cube_name)
query.add_member_tuple_to_columns(
f"[{self.dimension_names[0]}].[Element 1]",
f"[{self.dimension_names[1]}].[Element 4]",
f"[{self.dimension_names[2]}].[Element 9]")
self.assertEqual(self.tm1.cells.execute_mdx_values(mdx=query.to_mdx()), [719])
def test_write_through_unbound_process_sandbox(self):
cells = dict()
cells["Element 1", "Element4", "Element9"] = 7192
self.tm1.cells.write_through_unbound_process(self.cube_name, cells, sandbox_name=self.sandbox_name)
query = MdxBuilder.from_cube(self.cube_name)
query.add_member_tuple_to_columns(
f"[{self.dimension_names[0]}].[Element 1]",
f"[{self.dimension_names[1]}].[Element 4]",
f"[{self.dimension_names[2]}].[Element 9]")
self.assertEqual(self.tm1.cells.execute_mdx_values(mdx=query.to_mdx(), sandbox_name=self.sandbox_name), [7192])
def test_write_through_unbound_process_long_digit_as_str(self):
cells = dict()
cells["Element 1", "Element4", "Element9"] = '10000.123456789123456789123456789'
self.tm1.cells.write_through_unbound_process(self.cube_name, cells)
query = MdxBuilder.from_cube(self.cube_name)
query.add_member_tuple_to_columns(
f"[{self.dimension_names[0]}].[Element 1]",
f"[{self.dimension_names[1]}].[Element 4]",
f"[{self.dimension_names[2]}].[Element 9]")
self.assertEqual(self.tm1.cells.execute_mdx_values(mdx=query.to_mdx()), [10000.1234567891])
def test_write_through_unbound_process_str(self):
cells = dict()
cells["d1e1", "d2e4", "d3e3"] = 'TM1py Test'
self.tm1.cells.write_through_unbound_process(self.string_cube_name, cells)
query = MdxBuilder.from_cube(self.string_cube_name)
query.add_member_tuple_to_columns(
f"[{self.string_dimension_names[0]}].[d1e1]",
f"[{self.string_dimension_names[1]}].[d2e4]",
f"[{self.string_dimension_names[2]}].[d3e3]")
self.assertEqual(self.tm1.cells.execute_mdx_values(mdx=query.to_mdx()), ['TM1py Test'])
def test_write_through_unbound_process_attributes(self):
cells = dict()
cells["element1", "Attr1"] = 'Text 1'
cells["element1", "Attr2"] = 1
cells["element1", "Attr3"] = 2
cells["element2", "Attr1"] = ""
cells["element2", "Attr2"] = 0
cells["element2", "Attr3"] = None
self.tm1.cells.write_through_unbound_process("}ElementAttributes_" + self.dimension_names[0], cells)
query = MdxBuilder.from_cube("}ElementAttributes_" + self.dimension_names[0])
query.add_member_tuple_to_columns(
f"[{self.dimension_names[0]}].[element1]",
f"[}}ElementAttributes_{self.dimension_names[0]}].[Attr1]")
query.add_member_tuple_to_columns(
f"[{self.dimension_names[0]}].[element1]",
f"[}}ElementAttributes_{self.dimension_names[0]}].[Attr2]")
query.add_member_tuple_to_columns(
f"[{self.dimension_names[0]}].[element1]",
f"[}}ElementAttributes_{self.dimension_names[0]}].[Attr3]")
query.add_member_tuple_to_columns(
f"[{self.dimension_names[0]}].[element2]",
f"[}}ElementAttributes_{self.dimension_names[0]}].[Attr1]")
query.add_member_tuple_to_columns(
f"[{self.dimension_names[0]}].[element2]",
f"[}}ElementAttributes_{self.dimension_names[0]}].[Attr2]")
query.add_member_tuple_to_columns(
f"[{self.dimension_names[0]}].[element2]",
f"[}}ElementAttributes_{self.dimension_names[0]}].[Attr3]")
values = self.tm1.cells.execute_mdx_values(mdx=query.to_mdx())
if verify_version(required_version="12", version=self.tm1.version):
self.assertEqual(values, ['Text 1', 1, 2, "", 0, 0])
else:
self.assertEqual(values, ['Text 1', 1, 2, "", None, None])
def test_write_through_unbound_process_to_consolidation(self):
cells = dict()
cells["Element 1", "Element4", "TOTAL_" + self.dimensions_with_consolidations_names[2]] = 5
cells["Element 1", "Element4", "Element3"] = 8
with self.assertRaises(TM1pyWritePartialFailureException):
self.tm1.cells.write_through_unbound_process(self.cube_with_consolidations_name, cells)
query = MdxBuilder.from_cube(self.cube_with_consolidations_name)
query.add_member_tuple_to_columns(
f"[{self.dimensions_with_consolidations_names[0]}].[Element 1]",
f"[{self.dimensions_with_consolidations_names[1]}].[Element 4]",
f"[{self.dimensions_with_consolidations_names[2]}].[Element 3]")
self.assertEqual(self.tm1.cells.execute_mdx_values(mdx=query.to_mdx()), [8])
def test_write_through_unbound_process_to_not_existing_element(self):
cells = dict()
cells["Element 1", "Element4", "element6"] = 5
cells["Element 1", "Element4", "Not Existing Element"] = 8
with self.assertRaises(TM1pyWritePartialFailureException):
self.tm1.cells.write_through_unbound_process(self.cube_with_consolidations_name, cells)
query = MdxBuilder.from_cube(self.cube_with_consolidations_name)
query.add_member_tuple_to_columns(
f"[{self.dimensions_with_consolidations_names[0]}].[Element 1]",
f"[{self.dimensions_with_consolidations_names[1]}].[Element 4]",
f"[{self.dimensions_with_consolidations_names[2]}].[Element 6]")
self.assertEqual(self.tm1.cells.execute_mdx_values(mdx=query.to_mdx()), [5])
def test_write_through_unbound_process_write_failure_exception(self):
cells = dict()
cells["Element 1", "Element4", "Not Existing Element 1"] = "Text 1"
cells["Element 2", "Element8", "Element 9"] = 8
with self.assertRaises(TM1pyWriteFailureException) as ex:
self.tm1.cells.write_through_unbound_process(self.cube_with_consolidations_name, cells)
self.assertEqual(ex.exception.statuses, ['Aborted'])
self.assertIn(".log", ex.exception.error_log_files[0])
query = MdxBuilder.from_cube(self.cube_with_consolidations_name)
query.add_member_tuple_to_columns(
f"[{self.dimensions_with_consolidations_names[0]}].[Element 2]",
f"[{self.dimensions_with_consolidations_names[1]}].[Element 8]",
f"[{self.dimensions_with_consolidations_names[2]}].[Element 9]")
self.assertEqual([8], self.tm1.cells.execute_mdx_values(mdx=query.to_mdx()))
def test_write_through_unbound_process_write_partial_failure_exception(self):
cells = dict()
cells["Element 2", "Element8", "Not Existing Element"] = 2
cells["Element 2", "Element8", "Element 5"] = 8
with self.assertRaises(TM1pyWritePartialFailureException) as ex:
self.tm1.cells.write_through_unbound_process(self.cube_with_consolidations_name, cells)
self.assertEqual(ex.exception.statuses, ['HasMinorErrors'])
self.assertEqual(ex.exception.attempts, 1)
self.assertIn(".log", ex.exception.error_log_files[0])
query = MdxBuilder.from_cube(self.cube_with_consolidations_name)
query.add_member_tuple_to_columns(
f"[{self.dimensions_with_consolidations_names[0]}].[Element 2]",
f"[{self.dimensions_with_consolidations_names[1]}].[Element 8]",
f"[{self.dimensions_with_consolidations_names[2]}].[Element 5]")
self.assertEqual(self.tm1.cells.execute_mdx_values(mdx=query.to_mdx()), [8])
def test_write_through_unbound_process_line_break_hashmark_combo(self):
cells = dict()
cells["d1e1", "d2e4", "d3e3"] = 'TM1py \r\n#Test'
self.tm1.cells.write_through_unbound_process(self.string_cube_name, cells)
query = MdxBuilder.from_cube(self.string_cube_name)
query.add_member_tuple_to_columns(
f"[{self.string_dimension_names[0]}].[d1e1]",
f"[{self.string_dimension_names[1]}].[d2e4]",
f"[{self.string_dimension_names[2]}].[d3e3]")
self.assertEqual(self.tm1.cells.execute_mdx_values(mdx=query.to_mdx()), ['TM1py #Test'])
def test_write_through_blob_happy_case(self):
cells = dict()
cells["Element 1", "Element4", "Element9"] = 719
self.tm1.cells.write_through_blob(self.cube_name, cells)
query = MdxBuilder.from_cube(self.cube_name)
query.add_member_tuple_to_columns(
f"[{self.dimension_names[0]}].[Element 1]",
f"[{self.dimension_names[1]}].[Element 4]",
f"[{self.dimension_names[2]}].[Element 9]")
self.assertEqual(self.tm1.cells.execute_mdx_values(mdx=query.to_mdx()), [719])
def test_write_through_blob_sandbox(self):
cells = dict()
cells["Element 1", "Element4", "Element9"] = 7192
self.tm1.cells.write_through_blob(self.cube_name, cells, sandbox_name=self.sandbox_name)
query = MdxBuilder.from_cube(self.cube_name)
query.add_member_tuple_to_columns(
f"[{self.dimension_names[0]}].[Element 1]",
f"[{self.dimension_names[1]}].[Element 4]",
f"[{self.dimension_names[2]}].[Element 9]")
self.assertEqual(self.tm1.cells.execute_mdx_values(mdx=query.to_mdx(), sandbox_name=self.sandbox_name), [7192])
def test_write_through_blob_long_digit_as_str(self):
cells = dict()
cells["Element 1", "Element4", "Element9"] = '10000.123456789123456789123456789'
self.tm1.cells.write_through_blob(self.cube_name, cells)
query = MdxBuilder.from_cube(self.cube_name)
query.add_member_tuple_to_columns(
f"[{self.dimension_names[0]}].[Element 1]",
f"[{self.dimension_names[1]}].[Element 4]",
f"[{self.dimension_names[2]}].[Element 9]")
self.assertAlmostEqual(
self.tm1.cells.execute_mdx_values(mdx=query.to_mdx())[0],
10000.1234567891,
8)
def test_write_through_blob_str(self):
cells = dict()
cells["d1e1", "d2e4", "d3e3"] = 'TM1py Test'
self.tm1.cells.write_through_blob(self.string_cube_name, cells)
query = MdxBuilder.from_cube(self.string_cube_name)
query.add_member_tuple_to_columns(
f"[{self.string_dimension_names[0]}].[d1e1]",
f"[{self.string_dimension_names[1]}].[d2e4]",
f"[{self.string_dimension_names[2]}].[d3e3]")
self.assertEqual(self.tm1.cells.execute_mdx_values(mdx=query.to_mdx()), ['TM1py Test'])
def test_write_through_blob_attributes(self):
cells = dict()
cells["element1", "Attr1"] = 'Text 1'
cells["element1", "Attr2"] = 1
cells["element1", "Attr3"] = 2
cells["element2", "Attr1"] = ""
cells["element2", "Attr2"] = 0
cells["element2", "Attr3"] = None
self.tm1.cells.write_through_blob("}ElementAttributes_" + self.dimension_names[0], cells)
query = MdxBuilder.from_cube("}ElementAttributes_" + self.dimension_names[0])
query.add_member_tuple_to_columns(
f"[{self.dimension_names[0]}].[element1]",
f"[}}ElementAttributes_{self.dimension_names[0]}].[Attr1]")
query.add_member_tuple_to_columns(
f"[{self.dimension_names[0]}].[element1]",
f"[}}ElementAttributes_{self.dimension_names[0]}].[Attr2]")
query.add_member_tuple_to_columns(
f"[{self.dimension_names[0]}].[element1]",
f"[}}ElementAttributes_{self.dimension_names[0]}].[Attr3]")
query.add_member_tuple_to_columns(
f"[{self.dimension_names[0]}].[element2]",
f"[}}ElementAttributes_{self.dimension_names[0]}].[Attr1]")
query.add_member_tuple_to_columns(
f"[{self.dimension_names[0]}].[element2]",
f"[}}ElementAttributes_{self.dimension_names[0]}].[Attr2]")
query.add_member_tuple_to_columns(
f"[{self.dimension_names[0]}].[element2]",
f"[}}ElementAttributes_{self.dimension_names[0]}].[Attr3]")
result = self.tm1.cells.execute_mdx_values(mdx=query.to_mdx())
self.assertEqual(result[0], "Text 1")
self.assertEqual(result[1], 1)
self.assertEqual(result[2], 2)
self.assertEqual(result[3], "")
self.assertIn(result[4], [0, None])
self.assertIn(result[5], [0, None])
def test_write_through_blob_to_consolidation(self):
cells = dict()
cells["Element 1", "Element4", "TOTAL_" + self.dimensions_with_consolidations_names[2]] = 5
cells["Element 1", "Element4", "Element3"] = 8
with self.assertRaises(TM1pyWritePartialFailureException):
self.tm1.cells.write_through_blob(self.cube_with_consolidations_name, cells)
query = MdxBuilder.from_cube(self.cube_with_consolidations_name)
query.add_member_tuple_to_columns(
f"[{self.dimensions_with_consolidations_names[0]}].[Element 1]",
f"[{self.dimensions_with_consolidations_names[1]}].[Element 4]",
f"[{self.dimensions_with_consolidations_names[2]}].[Element 3]")
self.assertEqual(self.tm1.cells.execute_mdx_values(mdx=query.to_mdx()), [8])
def test_write_through_blob_to_not_existing_element(self):
cells = dict()
cells["Element 1", "Element4", "element6"] = 5
cells["Element 1", "Element4", "Not Existing Element"] = 8
with self.assertRaises(TM1pyWritePartialFailureException):
self.tm1.cells.write_through_blob(self.cube_with_consolidations_name, cells)
query = MdxBuilder.from_cube(self.cube_with_consolidations_name)
query.add_member_tuple_to_columns(
f"[{self.dimensions_with_consolidations_names[0]}].[Element 1]",
f"[{self.dimensions_with_consolidations_names[1]}].[Element 4]",
f"[{self.dimensions_with_consolidations_names[2]}].[Element 6]")
self.assertEqual(self.tm1.cells.execute_mdx_values(mdx=query.to_mdx()), [5])
def test_write_through_blob_write_failure_exception(self):
cells = dict()
cells["Element 1", "Element4", "Not Existing Element 1"] = "Text 1"
cells["Element 2", "Element8", "Element 9"] = 8
with self.assertRaises(TM1pyWritePartialFailureException) as ex:
self.tm1.cells.write_through_blob(self.cube_with_consolidations_name, cells)
self.assertEqual(ex.exception.statuses, ['HasMinorErrors'])
self.assertIn(".log", ex.exception.error_log_files[0])
query = MdxBuilder.from_cube(self.cube_with_consolidations_name)
query.add_member_tuple_to_columns(
f"[{self.dimensions_with_consolidations_names[0]}].[Element 2]",
f"[{self.dimensions_with_consolidations_names[1]}].[Element 8]",
f"[{self.dimensions_with_consolidations_names[2]}].[Element 9]")
self.assertEqual([8], self.tm1.cells.execute_mdx_values(mdx=query.to_mdx()))
def test_write_through_blob_write_partial_failure_exception(self):
cells = dict()
cells["Element 2", "Element8", "Not Existing Element"] = 2
cells["Element 2", "Element8", "Element 5"] = 8
with self.assertRaises(TM1pyWritePartialFailureException) as ex:
self.tm1.cells.write_through_blob(self.cube_with_consolidations_name, cells)
self.assertEqual(ex.exception.statuses, ['HasMinorErrors'])
self.assertEqual(ex.exception.attempts, 1)
self.assertIn(".log", ex.exception.error_log_files[0])
query = MdxBuilder.from_cube(self.cube_with_consolidations_name)
query.add_member_tuple_to_columns(
f"[{self.dimensions_with_consolidations_names[0]}].[Element 2]",
f"[{self.dimensions_with_consolidations_names[1]}].[Element 8]",
f"[{self.dimensions_with_consolidations_names[2]}].[Element 5]")
self.assertEqual(self.tm1.cells.execute_mdx_values(mdx=query.to_mdx()), [8])
def test_write_through_blob_line_break_hashmark_combo(self):
cells = dict()
cells["d1e1", "d2e4", "d3e3"] = 'TM1py \r\n#Test'
self.tm1.cells.write_through_blob(self.string_cube_name, cells)
query = MdxBuilder.from_cube(self.string_cube_name)
query.add_member_tuple_to_columns(
f"[{self.string_dimension_names[0]}].[d1e1]",
f"[{self.string_dimension_names[1]}].[d2e4]",
f"[{self.string_dimension_names[2]}].[d3e3]")
self.assertEqual(self.tm1.cells.execute_mdx_values(mdx=query.to_mdx()), ['TM1py #Test'])
def test_undo_cellset_write(self):
cells = dict()
cells["Element 12", "Element 13", "Element 15"] = 3.3
changeset = self.tm1.cells.write(self.cube_name, cells, use_changeset=True)
query = MdxBuilder.from_cube(self.cube_name)
query.add_member_tuple_to_columns(
f"[{self.dimension_names[0]}].[Element 12]",
f"[{self.dimension_names[1]}].[Element 13]",
f"[{self.dimension_names[2]}].[Element 15]")
self.assertEqual(self.tm1.cells.execute_mdx_values(mdx=query.to_mdx()), [3.3])
self.tm1.cells.undo_changeset(changeset=changeset)
query = MdxBuilder.from_cube(self.cube_name)
query.add_member_tuple_to_columns(
f"[{self.dimension_names[0]}].[Element 12]",
f"[{self.dimension_names[1]}].[Element 13]",
f"[{self.dimension_names[2]}].[Element 15]")
self.assertEqual(self.tm1.cells.execute_mdx_values(mdx=query.to_mdx()), [None])
def test_undo_cellset_write_values(self):
cells = dict()
cells["Element 16", "Element 13", "Element 15"] = 3.6
changeset = self.tm1.cells.write_values(self.cube_name, cells, use_changeset=True)
query = MdxBuilder.from_cube(self.cube_name)
query.add_member_tuple_to_columns(
f"[{self.dimension_names[0]}].[Element 16]",
f"[{self.dimension_names[1]}].[Element 13]",
f"[{self.dimension_names[2]}].[Element 15]")
self.assertEqual(self.tm1.cells.execute_mdx_values(mdx=query.to_mdx()), [3.6])
self.tm1.cells.undo_changeset(changeset=changeset)
query = MdxBuilder.from_cube(self.cube_name)
query.add_member_tuple_to_columns(
f"[{self.dimension_names[0]}].[Element 16]",
f"[{self.dimension_names[1]}].[Element 13]",
f"[{self.dimension_names[2]}].[Element 15]")
self.assertEqual(self.tm1.cells.execute_mdx_values(mdx=query.to_mdx()), [None])
def test_write_through_blob_multi_str(self):
cells = dict()
cells["d1e1", "d2e4", "d3e3"] = 'TM1py Test1'
cells["d1e1", "d2e2", "d3e3"] = 'TM1py Test2'
self.tm1.cells.write_through_blob(self.string_cube_name, cells)
query = MdxBuilder.from_cube(self.string_cube_name)
query.add_member_tuple_to_columns(
f"[{self.string_dimension_names[0]}].[d1e1]",
f"[{self.string_dimension_names[1]}].[d2e4]",
f"[{self.string_dimension_names[2]}].[d3e3]")
query.add_member_tuple_to_columns(
f"[{self.string_dimension_names[0]}].[d1e1]",
f"[{self.string_dimension_names[1]}].[d2e2]",
f"[{self.string_dimension_names[2]}].[d3e3]")
self.assertEqual(self.tm1.cells.execute_mdx_values(mdx=query.to_mdx()), ['TM1py Test1', 'TM1py Test2'])