def test_as_mdx_happy_case(self):
native_view = NativeView(
cube_name="c1",
view_name="not_relevant",
suppress_empty_columns=True,
suppress_empty_rows=False,
titles=[
ViewTitleSelection("d3",
AnonymousSubset("d3", "d3", "",
["e3"]), "e3")
],
columns=[
ViewAxisSelection("d1",
AnonymousSubset("d1", "d1", "{[d1].[e1]}"))
],
rows=[
ViewAxisSelection("d2",
AnonymousSubset("d2", "d2", "{[d2].[e2]}"))
])
self.assertEqual(
"SELECT\r\n"
"NON EMPTY {[d1].[e1]} ON 0,\r\n"
"{[d2].[e2]} ON 1\r\n"
"FROM [C1]\r\n"
"WHERE ([D3].[D3].[E3])", native_view.mdx)
def test_as_mdx_no_columns(self):
with self.assertRaises(ValueError) as _:
native_view = NativeView(
cube_name="c1",
view_name="not_relevant",
suppress_empty_columns=True,
suppress_empty_rows=False,
titles=[
ViewTitleSelection("d3",
AnonymousSubset("d3", "d3", "", ["e3"]),
"e3")
],
rows=[
ViewAxisSelection(
"d1", AnonymousSubset("d1", "d1", "{[d1].[e1]}"))
])
_ = native_view.mdx
def test_as_mdx_multi_rows_multi_columns(self):
native_view = NativeView(
cube_name="c1",
view_name="not_relevant",
suppress_empty_columns=True,
suppress_empty_rows=True,
titles=[
ViewTitleSelection("d5",
AnonymousSubset("d5", "d5", "",
["e5"]), "e5"),
ViewTitleSelection("d6",
AnonymousSubset("d6", "d6", "",
["e6"]), "e6")
],
columns=[
ViewAxisSelection("d1",
AnonymousSubset("d1", "d1", "{[d1].[e1]}")),
ViewAxisSelection("d2",
AnonymousSubset("d2", "d2", "{[d2].[e2]}"))
],
rows=[
ViewAxisSelection("d3",
AnonymousSubset("d3", "d3", "{[d3].[e3]}")),
ViewAxisSelection("d4",
AnonymousSubset("d4", "d4", "{[d4].[e4]}"))
])
self.assertEqual(
"SELECT\r\n"
"NON EMPTY {[d1].[e1]} * {[d2].[e2]} ON 0,\r\n"
"NON EMPTY {[d3].[e3]} * {[d4].[e4]} ON 1\r\n"
"FROM [C1]\r\n"
"WHERE ([D5].[D5].[E5],[D6].[D6].[E6])", native_view.mdx)
def test_as_mdx_no_titles(self):
native_view = NativeView(
cube_name="c1",
view_name="not_relevant",
suppress_empty_columns=True,
suppress_empty_rows=False,
columns=[
ViewAxisSelection("d1",
AnonymousSubset("d1", "d1", "{[d1].[e1]}"))
])
self.assertEqual(
"SELECT\r\n"
"NON EMPTY {[d1].[e1]} ON 0\r\n"
"FROM [C1]", native_view.mdx)
NON EMPTY {[Date].[2017-11-26], [Date].[2017-11-27]} * {[Bike Shares Measure].[Count]} ON ROWS,
NON EMPTY {[City].[NYC], [City].[Chicago]} ON COLUMNS
FROM [Bike Shares]
WHERE ([Version].[Actual])
"""
with TM1Service(**config['tm1srv01']) as tm1:
pivot = tm1.cubes.cells.execute_mdx_dataframe_pivot(mdx=mdx)
print(pivot)
view = NativeView(cube_name="Bike Shares",
view_name="Bike Shares By City",
suppress_empty_columns=True,
suppress_empty_rows=True)
view.add_row(dimension_name="Date",
subset=AnonymousSubset(dimension_name="Date",
expression="{Tm1SubsetAll([Date])}"))
view.add_row(dimension_name="Bike Shares Measure",
subset=AnonymousSubset(dimension_name="Bike Shares Measure",
elements=["Count"]))
view.add_column(dimension_name="City",
subset=AnonymousSubset(dimension_name="City",
elements=["NYC", "Chicago"]))
view.add_title(dimension_name="Version",
selection="Actual",
subset=AnonymousSubset(dimension_name="Version",
elements=["Actual"]))
with TM1Service(**config['tm1srv01']) as tm1:
if tm1.cubes.views.exists(cube_name="Bike Shares",
view_name="Bike Shares By City",
private=False):
def setUpClass(cls) -> None:
# 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)
# 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 subset
subset = Subset(SUBSET_NAME, DIMENSION_NAMES[0], DIMENSION_NAMES[0],
None, None, ["Element 1"])
if cls.tm1.dimensions.hierarchies.subsets.exists(
subset.name, subset.dimension_name, subset.hierarchy_name,
False):
cls.tm1.dimensions.hierarchies.subsets.delete(
subset.name, subset.dimension_name, subset.hierarchy_name,
False)
cls.tm1.dimensions.hierarchies.subsets.create(subset, False)
# Build process
p1 = Process(name=PROCESS_NAME)
p1.add_parameter('pRegion', 'pRegion (String)', value='US')
if cls.tm1.processes.exists(p1.name):
cls.tm1.processes.delete(p1.name)
cls.tm1.processes.create(p1)
# Build chore
c1 = Chore(name=CHORE_NAME,
start_time=ChoreStartTime(datetime.now().year,
datetime.now().month,
datetime.now().day,
datetime.now().hour,
datetime.now().minute,
datetime.now().second),
dst_sensitivity=False,
active=True,
execution_mode=Chore.MULTIPLE_COMMIT,
frequency=ChoreFrequency(days=int(random.uniform(0, 355)),
hours=int(random.uniform(0, 23)),
minutes=int(random.uniform(0, 59)),
seconds=int(random.uniform(0,
59))),
tasks=[
ChoreTask(0,
PROCESS_NAME,
parameters=[{
'Name': 'pRegion',
'Value': 'UK'
}])
])
cls.tm1.chores.create(c1)
# create Folder
app = FolderApplication("", TM1PY_APP_FOLDER)
cls.tm1.applications.create(application=app, private=False)
def setUpClass(cls) -> None:
"""
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")
]
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)
# Build Cube
cube = Cube(cls.cube_name, cls.dimension_names)
if not cls.tm1.cubes.exists(cls.cube_name):
cls.tm1.cubes.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.cubes.views.exists(
cls.cube_name, view.name, private=False):
cls.tm1.cubes.views.create(view=view, private=False)
# Build subset
subset = Subset(cls.subset_name, cls.dimension_names[0],
cls.dimension_names[0], None, None, ["Element 1"])
if cls.tm1.dimensions.hierarchies.subsets.exists(
subset.name, subset.dimension_name, subset.hierarchy_name,
False):
cls.tm1.dimensions.hierarchies.subsets.delete(
subset.name, subset.dimension_name, subset.hierarchy_name,
False)
cls.tm1.dimensions.hierarchies.subsets.create(subset, False)
# Build process
p1 = Process(name=cls.process_name)
p1.add_parameter('pRegion', 'pRegion (String)', value='US')
if cls.tm1.processes.exists(p1.name):
cls.tm1.processes.delete(p1.name)
cls.tm1.processes.create(p1)
# Build chore
c1 = Chore(name=cls.chore_name,
start_time=ChoreStartTime(datetime.now().year,
datetime.now().month,
datetime.now().day,
datetime.now().hour,
datetime.now().minute,
datetime.now().second),
dst_sensitivity=False,
active=True,
execution_mode=Chore.MULTIPLE_COMMIT,
frequency=ChoreFrequency(days=int(random.uniform(0, 355)),
hours=int(random.uniform(0, 23)),
minutes=int(random.uniform(0, 59)),
seconds=int(random.uniform(0,
59))),
tasks=[
ChoreTask(0,
cls.process_name,
parameters=[{
'Name': 'pRegion',
'Value': 'UK'
}])
])
cls.tm1.chores.create(c1)
# create Folder
app = FolderApplication("", cls.tm1py_app_folder)
cls.tm1.applications.create(application=app, private=False)
tm1.cubes.create(cube)
# create views
for project in ("Project1", "Project2", "Project3"):
# Project Summary
cube_name = "Py Project Summary"
view = NativeView(
cube_name=cube_name,
view_name=project + " NPV",
format_string="0.#########",
suppress_empty_columns=False,
suppress_empty_rows=False)
view.add_row(
dimension_name="Py Project Summary Measure",
subset=AnonymousSubset(
dimension_name="Py Project Summary Measure",
elements=["NPV"]))
view.add_column(
dimension_name="Py Project",
subset=AnonymousSubset(
dimension_name="Py Project",
elements=[project]))
if tm1.cubes.views.exists(cube_name=view.cube, view_name=view.name, private=False):
tm1.cubes.views.delete(cube_name=view.cube, view_name=view.name, private=False)
tm1.cubes.views.create(view=view, private=False)
view = NativeView(
cube_name=cube_name,
view_name=project + " IRR",
format_string="0.#########",
suppress_empty_columns=False,
def test_tm1io_input_nativeview_output_nativeview(self):
# create input view
view_input = NativeView(cube_name=CUBE_NAME_SOURCE,
view_name=VIEW_NAME_SOURCE,
suppress_empty_columns=False,
suppress_empty_rows=False)
view_input.add_row(
dimension_name=DIMENSION_NAMES[0],
subset=AnonymousSubset(dimension_name=DIMENSION_NAMES[0],
expression="{ HEAD ( { [" +
DIMENSION_NAMES[0] + "].Members}," +
str(len(IRR_INPUT_VALUES)) + ") }"))
view_input.add_column(
dimension_name=DIMENSION_NAMES[1],
subset=AnonymousSubset(dimension_name=DIMENSION_NAMES[1],
expression="{[" + DIMENSION_NAMES[1] +
"].[Element_1]}"))
self.tm1.cubes.views.create(view=view_input, private=False)
# create output view
view_output = NativeView(cube_name=CUBE_NAME_TARGET,
view_name=VIEW_NAME_TARGET,
suppress_empty_columns=False,
suppress_empty_rows=False)
view_output.add_row(
dimension_name=DIMENSION_NAMES[0],
subset=AnonymousSubset(dimension_name=DIMENSION_NAMES[0],
expression="{[" + DIMENSION_NAMES[0] +
"].[Element_1]}"))
view_output.add_column(
dimension_name=DIMENSION_NAMES[1],
subset=AnonymousSubset(dimension_name=DIMENSION_NAMES[1],
expression="{[" + DIMENSION_NAMES[1] +
"].[Element_1]}"))
self.tm1.cubes.views.create(view=view_output, private=False)
# write values into input view
mdx = view_input.MDX
self.tm1.cubes.cells.write_values_through_cellset(
mdx, IRR_INPUT_VALUES)
# execute method
result = irr(tm1_services={
"tm1srv01": self.tm1,
"tm1srv02": self.tm1
},
tm1_source="tm1srv01",
tm1_target="tm1srv02",
cube_source=CUBE_NAME_SOURCE,
cube_target=CUBE_NAME_TARGET,
view_source=VIEW_NAME_SOURCE,
view_target=VIEW_NAME_TARGET)
self.assertAlmostEqual(IRR_EXPECTED_RESULT,
result,
delta=IRR_TOLERANCE)
# check output view
cell_value = next(
self.tm1.cubes.cells.execute_view_values(
cube_name=CUBE_NAME_TARGET,
view_name=VIEW_NAME_TARGET,
private=False))
self.assertAlmostEqual(cell_value,
IRR_EXPECTED_RESULT,
delta=IRR_TOLERANCE)