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@MariusWirtz MariusWirtz released this 19 May 20:11
· 1027 commits to master since this release
1.3.0
354d8f0

TM1py version 1.3.0 is now available. Getting started with TM1py

Enhancements

  • TM1py now supports SSO authentication to TM1 using CAM gateway. Previously to connect to a TM1 instance with CAM security, you had to put your user name and passord in the configuration file as below:
[tm1srv01]
address=localhost
port=8884
user=vviau
password=YourPassword
namespace=CUBEWISE
ssl=True

Now you can replace your user and password with the new gateway parameter such as below

[tm1srv02]
address=localhost
port=8884
namespace=CUBEWISE
gateway=http://localhost:80/ibmcognos/cgi-bin/cognos.cgi
ssl=True

TM1py will use your Windows login to authenticate with TM1. Thanks to adscheevel for adding this new feature to TM1py.

  • The whoami method has been added to get the user and group assignments, associated with your active session. #106

  • Get default element of a hierarchy without need to allocate full hierarchy in memory using the two new HierarchyService methods. #95:
    get_default_member(dimension_name, hierarchy_name)
    update_default_member(dimension_name, hierarchy_name, member_name)

  • New boolean parameter to enable base64 encoded passwords in the TM1Service constructor: decode64. #87

  • A new remove_element(element_name) method has been added to the Hierarchy class. It implicitly removes all edges from the hierarchy that are related to the element. #83

  • Introducing a new skip_contexts (boolean) argument in all execute_mdx functions to reduce the response size by omitting the title elements and thus speeds up the execution. #82

  • Two new methods have been added to the CubeService to query and update technical dimension order of a cube. #81

  • Updating a subset is now done entirely through the TM1 REST API instead of calling the SubsetDeleteAllElements TI function behind the scenes. #93

  • New argument in TM1Service constructor: connection_pool_size allows for a custom sized http connection pool. Required when using TM1py in a multithreaded environment.

  • New method in CellService: relative_proportional_spread

How to upgrade TM1py

To upgrade TM1py, just use the following command:

pip install TM1py --upgrade
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