Hi all,
I try to find an easy solution for the following situation:
I am triggering an Python script in ML Workbench via Action Flow.
This Script is using pycelonis and extracts an OLAP table out of an Analysis.
The OLAP table is containing exactly the information, columns etc. how we need the data. My first idea was to create an .xlsx file directly within ML-Workbench from dataframe and get the .xlsx file that is then stored within Jupyter File Browser via another Action Flow module. So far I haven't found a solution to access the files stored on ML-Workbench.
Using Celonis Query Data -> CSV Advanced etc. is a total pain because in both modules I have to add all the columns again and do the mapping and all this stuff although the structure itself is already available on Analysis OLAP table level. Another issue is that I wanted to do this within one Action Flow and the Action Flow is not waiting till Python script execution is completed. Current workaround is the use of Sleep module which is also no manageable solution in my opinion.
What other ways do you think can be used in order to get the dataframe information from python as .xlsx file so that I can upload it afterwards to Sharepoint by using the Sharepoint module.
Thank you very much in advance.