The 11.4 version of the TM1 Server introduced a new DimensionsStorageOrder function and a ReorderDimensions action.

TM1py requries new methods in the CubeService to query and update the technical dimension order of a cube:

get_technical_dimension_order(cube_name)

update_technical_dimension_order(cube_name, dimensions)

Marius, I'm working with your get_view_content routine to create CSV output. Testing with 10.2.2 and with PA, I see that the dimension references come out differently:
10.2.2 '[actvsbud].[Actual]'
PA '[actvsbud].['actvsbud'].[Actual]'
(ie the hierarchies show)
I could just count the fullstops, but I thought it worth proposing the inclusion of a object equivalent to the Rest call
http://localhost:8010/api/v1/Configuration
which (inter alia) shows
"ProductVersion": "10.2.20700.43"
Users could then test the release and handle the output accordingly. I have looked through the latest version and couldn't spot this. What do you think?
FYI, I am hoping to be able to pass back some of the code I have been building, but I need clearance from the Directors and they are on holiday.

Hello ,

I would know if it's possible to have the same rows and columns that a view.
For example, when i make a view, i define rows and columns ( like a crosstab) but when i want to get data by a dataframe ( or by csv) i have only data by row

this is my code :

mdx = tm1.cubes.views.get_native_view(cube_name, view_name, private=False).as_MDX
content = tm1.cubes.cells.execute_mdx_get_dataframe(mdx)

thank you
Laurent

Due to various security settings at my client, I am unable to use pip to install, and have to manually put it in the site-packages folder. How would I go about handling the dependencies?

Btw, it's a 10061 error in pip.

Hello
Its really nice to play with tm1py
I want to know how can we know which processes are sheduled with their time?
and also can we get the business rules directly which are used for cube?
Thanks is advance

Is there a specific way to get TM1py to run in concurrent sessions when connecting through TM1Service?
We created a script that reads a CSV file and kicks off multiple TIs via rest. However, we want to kick off a second instance of this script with different TIs at the same time but it seems that it is not working. We tried looking at session_id but are unsure of how to generate a unique one.

Any help would be great!

Code attached.
RunTI.txt

Hi,

I'm getting the following error when trying to create/update a process with the following json body.

Exception:
...\TM1py\Services\ProcessService.py", line 121, in create
del body['Parameters'][p]['Type']
TypeError: list indices must be integers or slices, not dict

Process JSON:
'{"Name": "Admin - Start GL Forecast1", "PrologProcedure": "\\r\\n#****Begin: Generated Statements***\\r\\n#****End: Generated Statements****\\r\\n\\r\\n", "MetadataProcedure": "\\r\\n#****Begin: Generated Statements***\\r\\n#****End: Generated Statements****\\r\\n", "DataProcedure": "\\r\\n#****Begin: Generated Statements***\\r\\n#****End: Generated Statements****\\r\\n", "EpilogProcedure": "\\r\\n#****Begin: Generated Statements***\\r\\n#****End: Generated Statements****\\r\\n", "HasSecurityAccess": false, "UIData": "CubeAction=1511\\fDataAction=1503\\fCubeLogChanges=0\\f", "DataSource": {"Type": "None"}, "Parameters": [{"Name": "pStartPeriod", "Prompt": "", "Value": ""}], "Variables": [], "VariablesUIData": []}'

TM1 Version 10.2.2 FP6 IF7

I'm developing a TM1PY routine to transfer data between servers. When testing out writing back to a cellset including consolidated values, it gave a (reasonable) error "CubeCellWriteStatusElementIsConsolidated"} and failed. I can see this giving rise to issues in putting together generic transfer routines where destination cells might be consolidated, ruled, locked or not-writable by security. I suppose it's really a question for Hubert Heijkers and the team, but what do you think ought to happen?

Hi Marius,

a very nice python wrapper for the TM1-Rest-API you have developed so far! :) Thank you for the share!

I have a question (is where any other place than here to dump comments?) regarding your usage of TM1py. Do you use it productively for some tm1 model buildings for your work already?

Is there any documentation which resources can be adressed with the TM1-Rest-API and how they can be used to contribute/complement code to your project?

Thank you in advance,
Timo

From the code
import TM1py
from TM1py import TM1pyQueries as TM1

Result:
No module named 'TM1pyQueries'

Hello,

Please, replace all your default list in your parameters by None and create new list if the value is not given by the user, otherwise we get undesired behavior. See the following link for more details: http://effbot.org/zone/default-values.htm

Hi,
Thanks for creating this package! We will be using it in several ways.
We're new to Python - so this issue may not really be an issue:

When an element has more than one parent, the data.execute_mdx method pulls in unwanted hierarchy information. For example, we have an element '2017-01-15' with more than one parent. It comes through as:
'2017-01^2017-01-15'
In this case, '2017-01-15' directly rolls into: '2017-01', 'WE 2017-01-21' and 'All Days'

If '2017-01' rolls into more than one parent, you'll get another level of the hierarchy.

When an element has only one parent, it comes through as desired '2017-01-15'
I can reproduce this issue in any dimension for any element - it just needs to roll into more than one parent.
Is this a bug? or is there a way to not get the unwanted hierarchy info?

Here's my MDX statement...
mdx = "SELECT {[Dailies Digital - Metrics].[Customer Traffic Volume],
[Dailies Digital - Metrics].[Cart Starts Customer]} ON Columns,
tm1filterbylevel(Descendants([Glance - Date].[2017]),0) ON Rows
FROM [Dailies Digital]
Where ([Dailies Digital - Version].[Actuals])"

ViewService lacks dynamic get method that returns instance of MDXView or NativeView

def get(self, cube_name, view_name, private=True)

It appears the pandas dataframe brings in all the data but there are no column splits. Any chance you could modify the code to split the data into columns? Or possibly I have missed something and there is a way. I was about to head down the path of parsing the columns either from the string data thats returned or the dataframe

When extracting a view from tm1 using tm1py, Is there a way to extract what level on a hierarchy a particular element of a dimension is?

Hi,

The description mentions querying TransactionLog, but I cannot seem to find any Service that would provide it.

Am I missing something?

Marius, I have been working with TM1PY this week. Much of the functionality is working, but I am getting odd, inconsistent results with dimension updates.
I have one setup running PA Local (11.0.00000.918) under Windows 7. This is working. It works whether I run the Python scripts locally or on another PC.
I have another setup running PA Local (11.0.00200.998) under Windows Server 2016, within a VM. Running the scripts gives the error
"code":"278","message":"Cannot modify Attributes property during Hierarchy PATCH
Running the scripts against 10.2.2 FP7 gives the error
"code":"","message":"PATCH not supported on this resource!"
The script I use is:

from Services.LoginService import LoginService
from Services.RESTService import RESTService
from Services.DimensionService import DimensionService
from Services.HierarchyService import HierarchyService
login = LoginService.native('admin', 'apple')
# address = '25.39.47.199'
# address = '10.0.0.202'
address = ''
# Connection to TM1. Needs IP, Port, Credentials, and SSL
with RESTService(ip=address, port=8010, login=login, ssl=False) as tm1_rest:
    dimension_service = DimensionService(tm1_rest)
    # get dimension
    dimension = dimension_service.get('model2')
    # get the default hierarchy of the dimension
    h = dimension.hierarchies[0]
    # create new random element name
    element_name = 'Test9'
    # add element to hierarchy
    h.add_element(element_name=element_name, element_type='Numeric')
    #h.edges.clear()
    # add edge to hierarchy
    h.add_edge('Total', element_name, 1000)
  
    #for parent, child in h.edges:
    #       print("Parent Name: {}, Component Name: {}".format(parent, child))
    #h.remove_edge('Total','K Series')
    # write Dimension back to TM1
    
    dimension_service.update(dimension)

I was hoping to raise this in the SDK forum but I believe that I would need to show the REST/ODATA calls, and I am not sure how to do this for PATCH.
If you have any suggestions I would be very grateful. (I have tried SSL and so long as the setting matches the server all seems to be fine.)

not sure if this matters but why is the logout method a post and not a get?

It would be useful if TM1py supported initializing a RESTService with an additional TM1SessionId or session cookiejar parameter to bypass the authentication process on the TM1 server. An LDAP authentication request can take 10-20s for us (or can be delayed if there are waits on the TM1 server), so caching the session is a necessity for us.

We are working with tm1py package rest of the codes are executing perfectly but the code of checking element access is giving error as element attribute.I want to check the access of element level for a particular user how can I do that?
Thanks in advance.

I think it would be nice to have a method of Dimension object to return hierarchy by name. Currently there is only a service's method to do it.

Hi Marius,

As spoken, it would be better if the TM1 connection parameters between RushTI and TM1py were consistent. In RushTI requires the password to be encode in Base64 whereas TM1py uses plain text password.

To make sure we do not break existing scripts, TM1py should support password in plain text or in Base64 format.
TM1py should check first if it can connect to TM1 by reading the password as it was plain text and if it can't connect it tries to decode it.

I hope this is clear,

Cheers,

Vincent

Hi,

I'm trying to create an "Year" dimension which has 'year' as level 2 & q1, q2, q3 and q4 as level 1 elements. I would like to have months as level 0 members. For doing so I have written the below code:

`import configparser
config = configparser.ConfigParser()
config.read(r'C:\AppData\Local\Programs\Python\Python37-32\config.ini')

from TM1py.Objects import Dimension, Element, Hierarchy
from TM1py.Services import TM1Service

Dimension_Name = 'YEAR_TM1PY'

with TM1Service(**config['USCPADM_SIT']) as tm1:

create elements objects

elements = [Element(name='Year', element_type='Consolidated'),
Element(name='Q1', element_type='Consolidated'),
Element(name='Q2', element_type='Consolidated'),
Element(name='Q3', element_type='Consolidated'),
Element(name='Q4', element_type='Consolidated'),
Element(name='JAN', element_type='Numeric'),
Element(name='FEB', element_type='Numeric'),
Element(name='MAR', element_type='Numeric'),
Element(name='APR', element_type='Numeric'),
Element(name='MAY', element_type='Numeric'),
Element(name='JUN', element_type='Numeric'),
Element(name='JUL', element_type='Numeric'),
Element(name='AUG', element_type='Numeric'),
Element(name='SEP', element_type='Numeric'),
Element(name='OCT', element_type='Numeric'),
Element(name='NOV', element_type='Numeric'),
Element(name='DEC', element_type='Numeric')]

create edge object

edges = {('Year', 'Q1'): 1,
('Year', 'Q2'): 1,
('Year', 'Q3'): 1,
('Year', 'Q4'): 1,
('Q1', 'JAN'): 1,
('Q1', 'FEB'): 1,
('Q1', 'MAR'): 1,
('Q2', 'APR'): 1,
('Q2', 'MAY'): 1,
('Q2', 'JUN'): 1,
('Q3', 'JUL'): 1,
('Q3', 'AUG'): 1,
('Q3', 'SEP'): 1,
('Q4', 'OCT'): 1,
('Q4', 'NOV'): 1,
('Q4', 'DEC'): 1}

create hierarchy object

hierarchy = Hierarchy(name=Dimension_Name, dimension_name=Dimension_Name, elements=elements, edges=edges)

create dimension object

Dim = Dimension(name=Dimension_Name, hierarchies=[hierarchy])

create dimension in TM1 !

tm1.dimensions.create(Dim)`

The code executes properly and creates the expected dimension. But there is a problem with the hierarchy created.

Normal expected hierarchy
All level 0 elements stand out without any hierarchy
Now how to avoid these level 0 hierarchy-less or parent-less elements? Please advise.

I'm receiving the error above at tm1.cubes.cells.write_values(cube, cellset)

Any known pointers?

Hello,

Many operations in the constructor of the Process Class are unpythonic. One should preferably create a new copy of the list or making a deep copy of the new list. This can be done with self.variables = list(variables) or with the copy.deepcopy function from the copy module.

@DJHig ,
the build_headers_from_cellset function can't consume cellsets that were generated from MDX Queries with calculated members.

When I use it with the following Query:

    WITH MEMBER [Date].[First 2 Month] AS AGGREGATE({[Date].[2017-01], [Date].[2017-02]})
    SELECT 
    NON EMPTY {[Date].[First 2 Month], [Date].[2017-01]:[Date].[2017-12]} on ROWS, 
    NON EMPTY {[City].[NYC], [City].[Chicago], [City].[Washington]} on COLUMNS  
    FROM [Bike Shares] 
    WHERE ([Bike Shares Measure].[Count],[Version].[Actual]) 

I get this error:
Traceback (most recent call last):
File "C:/Projects/TM1py-samples/Query Data/mdx_query_different_formats.py", line 80, in
array = tm1.cubes.cells.execute_mdx_ui_array(mdx, value_precision=1)
File "C:\Anaconda3\lib\site-packages\TM1py\Services\CellService.py", line 409, in execute_mdx_ui_array
return Utils.build_ui_arrays_from_cellset(raw_cellset_as_dict=data, value_precision=value_precision)
File "C:\Anaconda3\lib\site-packages\TM1py\Utils\Utils.py", line 147, in build_ui_arrays_from_cellset
header_map = build_headers_from_cellset(raw_cellset_as_dict, force_header_dimensionality=3)
File "C:\Anaconda3\lib\site-packages\TM1py\Utils\Utils.py", line 254, in build_headers_from_cellset
for member in tuples_as_dict]
File "C:\Anaconda3\lib\site-packages\TM1py\Utils\Utils.py", line 254, in
for member in tuples_as_dict]
AttributeError: 'NoneType' object has no attribute 'keys'

Using TM1Services.processes.create(Process) I can create a syntactic incorrect process on my TM1 server. I wanted to use CompileProcess, but the method does not seem to be mapped, right?

Hi guys,

I'm big fan of TM1py !...

... and I need i little help.

I'm create a python script to list all my objects on TM1 server.
The cubes and dimension works fine but the chores list doesn't.

My chores.py

#Open connection with TM1
with TM1Service(address=address, port=port, user=user, password=password, namespace=namespace, ssl=ssl) as tm1:
    server_name = tm1.server.get_server_name()
    version = tm1.version

    #Write output file
    with open("TM1_Summary{}.txt".format(server_name),"w+") as file:

        #Server name
        file.write("# Server Name: {a}\n".format(a=server_name) )
        file.write("# version: {a}\n".format(a=version) )
        
        #CHORES
        chores = tm1.chores.get_all_names()
        for chore in chores:
            file.write("\nCHORE:{}\n".format(chore))

When I try to run the error is show:

Traceback (most recent call last):
  File "chores.py", line 33, in <module>
    chores = tm1.chores.get_all_names()
  File "C:\Users\my_User\AppData\Local\Programs\Python\Python35\lib\site-packages\TM1py\Services\ChoreService.py", line 69, in get_all_names
    response = self._rest.GET(request)
  File "C:\Users\my_User\AppData\Local\Programs\Python\Python35\lib\site-packages\TM1py\Services\RESTService.py", line 30, in wrapper
    self.verify_response(response=response)
  File "C:\Users\my_User\AppData\Local\Programs\Python\Python35\lib\site-packages\TM1py\Services\RESTService.py", line 214, in verify_response
    raise TM1pyException(response.text, status_code=response.status_code, reason=response.reason)
TM1py.Exceptions.Exceptions.TM1pyException: Text: {"error":{"code":"","message":"'Chores' resource can not be resolved on type 'EntityContainer'."}} Status Code: 404 Reason: Not Found

My output( TM1_Summary.txt)

# Server Name: myserver
# version: 10.2.20000.50183

Thank you in advance and congratulations by the awesome library.
The TM1 looks like much more funny with that...

Hello,

Is there a better solution to circument the proxy than setting the requests session to trusted environment to false?

Marius, you refer to this in your writeup - but I haven't been able to locate any objects or services to handle this. Did it exist in earlier versions?
I found a post on the SDK forum which shows the low level call:
https://www.ibm.com/developerworks/community/forums/html/topic?id=db478fa9-ea03-4e59-9d46-db67b5917118
quoting
http://localhost:8000/api/v1/MessageLog(Reverse=true)?$top=100
which works in Postman.

Is there a method that we can use to set the context of our TM1 connection? According to the metadata document has context property. It would be really useful to default that property to "TM1py" when a session is established. Then it can be updated if TM1py is used inside another program. I can write something if it it is not currently supported.

Hello,

Although it is recommanded and often forced to use private, restricted and public properties in type languages, these are often avoided in python. It would greatly increase the readibility (and reduce the size) of the code if one avoided all those underscore "private" variables and their accessor methods.

The reason is the dynamic nature of python objects, as one could set new property on the fly to an existing object if one desired.

Hi,

I'm getting a SystemParameterTypeInvalid exception while trying to create a process using the below JSON. The body in getting extracted from a working process.

My code

tm1refmodel = TM1Service(address='...', port=8037, user='admin', password='apple', ssl=True)
tm1compmodel = TM1Service(address='...', port=8042, user='admin', password='apple', ssl=True)

ProcDef = tm1refmodel.processes.get("Cons - Import Data Feedback")
logger.info(ProcDef)
tm1compmodel.processes.create(ProcDef)

tm1refmodel.logout()
tm1compmodel.logout()

...\TM1py\Services\RESTService.py", line 188, in verify_response
raise TM1pyException(response.text, status_code=response.status_code, reason
=response.reason)
TM1py.Exceptions.Exceptions.TM1pyException: Text: {"error":{"code":"","message":
"SystemParameterTypeInvalid"}} Status Code: 400 Reason: Bad Request

JSON (dev code removed):

{
  "Name": "Cons - Import Data Feedback",
  "PrologProcedure": "\r\n#****Begin: Generated Statements***\r\n#****End: Generated Statements****\r\n\r\n\r\n",
  "MetadataProcedure": "\r\n#****Begin: Generated Statements***\r\n#****End: Generated Statements****\r\n\r\n",
  "DataProcedure": "\r\n#****Begin: Generated Statements***\r\n#****End: Generated Statements****\r\n\r\n",
  "EpilogProcedure": "\r\n#****Begin: Generated Statements***\r\n#****End: Generated Statements****\r\n",
  "HasSecurityAccess": false,
  "UIData": "CubeAction=1511\fDataAction=1503\fCubeLogChanges=0\f",
  "DataSource": {
    "Type": "ASCII",
    "asciiDecimalSeparator": ".",
    "asciiDelimiterChar": "",
    "asciiDelimiterType": "FixedWidth",
    "asciiHeaderRecords": 0,
    "asciiQuoteCharacter": "",
    "asciiThousandSeparator": ",",
    "dataSourceNameForClient": "\\\\mlgmuc00app751\\TM1$\\global_deploy\\Log\\_.log",
    "dataSourceNameForServer": "\\\\mlgmuc00app751\\TM1$\\global_deploy\\Log\\_.log"
  },
  "Parameters": [
    {
      "Name": "pInterface",
      "Prompt": "",
      "Value": ""
    },
    {
      "Name": "pModel",
      "Prompt": "",
      "Value": ""
    },
    {
      "Name": "pDCU",
      "Prompt": "",
      "Value": ""
    },
    {
      "Name": "pProcess",
      "Prompt": "",
      "Value": ""
    },
    {
      "Name": "pError",
      "Prompt": "",
      "Value": 0
    }
  ],
  "Variables": [
    {
      "Name": "vLine1",
      "Type": "String",
      "Position": 1,
      "StartByte": 1,
      "EndByte": 100
    },
    {
      "Name": "vLine2",
      "Type": "String",
      "Position": 2,
      "StartByte": 101,
      "EndByte": 200
    },
    {
      "Name": "vLine3",
      "Type": "String",
      "Position": 3,
      "StartByte": 201,
      "EndByte": 300
    }
  ],
  "VariablesUIData": [
    "VarType=32\fColType=827\f",
    "VarType=32\fColType=827\f",
    "VarType=32\fColType=827\f"
  ]
}

Hello,

In the _construct_body method, one does type dispatching base on type. First of all, one should switch the order of verification as an AnnonymousSubset is a subset and that the pythonic way should use the isinstance function.

But to respect the OOP approach about type dispatching, the method should be defined within each Subset classes and called by the View*Selection.

We are testing the code to multithread the execution of processes and we noticed that if the script is ended, it will not disconnect the threads (leaving all the rest threads out there idle). Is there a way to sense the kill and handle the disconnect in the script?

Hello

I want to get whole cube data in a data frame...I am getting data of a particular cube but how can I get whole cube data?

Thanks in advance

I tried exporting a TM1 cube using MDX expression but getting the below error, when I reduce the granularity of the output I'm able to export the data. The same granularity is possible when I open the cube view using Architect. But I wonder TM1PY could not handle it!

Can someone please let me know what is the dependency for this memory shortage?
Is it not possible to export an entire cube with huge data? I don't mind the time taken, but is it possible?
Note: I have installed TM1PY in my VM which has 8GB RAM, the server would have some 256GB RAM.
Data is stored in server (as always)

with TM1Service(**config['<SERVER_NAME>']) as tm1: mdx = "SELECT " \ "{[n].[o]} * {[p].[q]} * {[a].members} * {[r].members} * {[c].[c]} * {[e].[f]} * {[g].members} on ROWS, " \ "{[i].[j]:[k].[l]} ON COLUMNS " \ "FROM [m]" # Get view content content = tm1.cubes.cells.execute_mdx(mdx) dx = Utils.build_pandas_dataframe_from_cellset(content, multiindex=False)

`**---------------------------------------------------------------------------
TM1pyException Traceback (most recent call last)
in ()
23
24 # Get view content
---> 25 content = tm1.cubes.cells.execute_mdx(mdx)
26 dx = Utils.build_pandas_dataframe_from_cellset(content, multiindex=False)
27 run_time = time.time() - start_time

~\AppData\Local\Continuum\anaconda3\lib\site-packages\TM1py\Services\CellService.py in execute_mdx(self, mdx, cell_properties, top)
174 :return: content in sweet consice strcuture.
175 """
--> 176 cellset_id = self.create_cellset(mdx=mdx)
177 try:
178 return self.execute_cellset(cellset_id=cellset_id, cell_properties=cell_properties, top=top)

~\AppData\Local\Continuum\anaconda3\lib\site-packages\TM1py\Services\CellService.py in create_cellset(self, mdx)
297 'MDX': mdx
298 }
--> 299 response = self._rest.POST(request=request, data=json.dumps(data, ensure_ascii=False))
300 cellset_id = response.json()['ID']
301 return cellset_id

~\AppData\Local\Continuum\anaconda3\lib\site-packages\TM1py\Services\RESTService.py in wrapper(self, request, data)
28 response = func(self, request, data)
29 # Verify
---> 30 self.verify_response(response=response)
31 return response
32 return wrapper

~\AppData\Local\Continuum\anaconda3\lib\site-packages\TM1py\Services\RESTService.py in verify_response(response)
212 """
213 if not response.ok:
--> 214 raise TM1pyException(response.text, status_code=response.status_code, reason=response.reason)
215
216 @staticmethod

TM1pyException: Text: Error: Internal Server Error
SystemOutOfMemory

Status Code: 500 Reason: Internal Server Error**`

Hello,

I am starting my journey into tm1py, however I`ve been facing difficulties to send data back to tm1.

For example, if I have a simple cube with 2 dimensions (Image 1) and want to write a data from a csv file or a pandas dataframe (image 4):

Using this code it tooks more than 6 hours to write 16000 lines into the cube.

df = pd.read_csv("Dataframe.csv", encoding='utf-8')

with TM1Service(address="xxx", port="xxx", user="admin", password="xxx", namespace=None,
                ssl=True) as tm1:
    cellset = {}
    for index, row in df.iterrows():
        cellset[(row['GBL_Produto'], row['EST_Controle_Estoque_Metrica'])] = row['Value']
        tm1.cubes.cells.write_values('EST_Controle_Estoque', cellset)

However I saw samples using codes that says: Read a csv file with ~ 1000000 lines and write the data to a cube and examples using write_values_through_cellset function. But I didn`t understand exactly how to use these functions in this situation.

Hi Marius,

Is there a way to perform NTLM logon using TM1py?

Appreciate the work you're doing on this.

Best

Paul

Hello,

not yet sure if this an issue of the REST API or not - if I create a variable in a TM1 process with a formula, the variable is not represented in the process.variables array.

Has the code been updated to use the new TI execution standard? Based on conversations with IBM moving to the new function will correct issues that keep minor errors from being committed

The installation steps in the README seems out of date as there is no TM1py.py file present.
It needs to be updated.

And the init.py file also seems to be missing.

I'm having trouble migrating my simplistic (but useful) server query script.
from TM1py.Utils import Utils servers = Utils.get_all_servers_from_adminhost('') print('Name','Port','HTTPPort','SSL',sep = '\t') for s in servers: print (s.name, s.port_number, s.http_port_number,s.using_ssl, sep = '\t')
gives
servers = Utils.get_all_servers_from_adminhost('') File "D:\Users\dusherwo.INFOCAT-VG\AppData\Local\Programs\Python\Python36-32\lib\site-packages\TM1py\Utils\Utils.py", line 27, in get_all_servers_from_adminhost server = Server(server_as_dict) TypeError: 'module' object is not callable
Suggestions welcome.

TM1py should allow to update the dynamic TM1 config parameters

There is a typo in the process method 'datasource_ascii_decimal_seperator'. seperator vs separator. It's inconsistent with how the property is referenced throughout the rest of TM1py.

Currently when removing an element from a Hierarchy object one needs to remove it explicitly from the elements property and aditionally remove all related edges from the edges property of the hierarchy object.

The TM1py user must not be bothered to write this logic. The logic needs to be incorporated into a remove_element method on the Hierarchy class.

Typically when executing an MDX Query from python, elements from the WHERE statement are not required in the response data, since they are static and already determined.

Introduce a new optional skip_contexts argument to all execute_mdx / execute_view functions. If True TM1py will not query elements from the Titles / Contexts, thus reduce the response size and speed up the execution.
Defaultvalue of the argument will by False.

I copied the TM1py.py file to project folder. But I got following errors when running the code. Can someone help me understand the issue and how to fix it? Thank you.

from TM1py import TM1pyQueries as TM1

File "TM1py.py", line 295
´cube_name´: String
^
SyntaxError: Non-ASCII character '\xc2' in file TM1py.py on line 296, but no encoding declared; see http://python.org/dev/peps/pep-0263/ for details

Hello
I am trying to load data in tm1 through tm1py for cubike data.
After executing the file of setup.py, I am getting the following error:
TM1pyException: Text: {"error":{"code":"","message":"PATCH not supported on this resource!"}} Status Code: 400 Reason: Bad Request
Due to this, it's not possible to load data
I have followed all the steps for proper connection
My server is connected.
My rest API is also working.
Kindly tell me solution for this
Thanks in advance.

Hello,

I think it would be a great addition to check private and public views when the user ask if a view exists. Moreover, I would prefer having the private argument True by default.