Skip to content

1.4.0
Compare
Choose a tag to compare
@MariusWirtz MariusWirtz released this 08 Dec 19:29
· 1000 commits to master since this release
1.4.0
9d8f4b2

Highlights

New create, get and delete methods in ApplicationService

with TM1Service(address=ADDRESS, port=PORT, user=USER, password=PASSWORD, ssl=SSL) as tm1:
    app = CubeApplication(path="Planning Sample", name="Sample Application", cube_name="Bike Shares")
    tm1.applications.create(application=app, private=False)
with TM1Service(address=ADDRESS, port=PORT, user=USER, password=PASSWORD, ssl=SSL) as tm1:
    with open(path_to_file, 'rb') as file:
        app = DocumentApplication(path="Planning Sample", name="Sample Application", content=file.read())
        tm1.applications.create(application=app, private=False)

New Features

  • New create, get, delete methods for applications
  • execute_view_dataframe, execute_mdx_dataframe methods now expose all arguments
    from the pd.read_csv methods (e.g. dtypes, parse_dates) #143
    More details on the arguments here:
    https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.read_csv.html
  • Add new method remove_all_edges to HierarchyService to unwind hierarchy efficiently
  • New get_element_identifiers methods that returns all element names and alias values in a set
  • Add get_last_data_update method to CubeService #177
  • Add load and unload methods to CubeService #163
  • Add check_rules method to CubeService

Bug Fixes

  • Fix issue in chore update method #133 and #134
  • Fix handling of Sandboxes dimension when writing to cube #136
  • Fix return of extract_cellset_rows_and_values method when MDX creates empty cellset #135
  • Escape single quotes in all object names in odata references #145
  • Undo silent type conversion in values column. Type of Value column in resulting dataframe from
    execute_mdx_dataframe, execute_view_dataframe is derived from data, unless specified otherwise through dtype argument.

Compatibility Notes

ApplicationService has been redesigned and is not backwards compatible.

Acknowledgments

Big thanks to @tombrzy , @ducklingasa , @rclapp , @pbuncik for contributing code to this release and many others for reporting bugs and requesting features.

How to upgrade TM1py

To upgrade TM1py, just use the following command:

pip install TM1py --upgrade
Assets 2
Loading