"deploy_semantic_model" function

[dagen6]

Hello,

I started experiencing issues while using the "deploy_semantic_model" function in the "semantic-link-labs" library.

I used this function to deploy semantic models across different workspaces, and it used to work perfectly until a couple of days ago.
What I now get when I use the function is the following error:

" create_semantic_model_from_bim() got an unexpected keyword argument 'overwrite' "

I checked the syntax multiple times, it is correct and as per documentation:

sempy_labs.deploy_semantic_model(source_dataset: str, source_workspace: str | None = None, target_dataset: str | None = None, target_workspace: str | None = None, refresh_target_dataset: bool = True, overwrite: bool = False)

I have tried removing the "overwrite" value from the function arguments - it is the one that seems to create problems - but didn't help.

As I said, this used to work until very recently - could it be related to any ongoing upgrades of the "semantic-link-labs" library?

Thanks so much in advance!

[m-kovalsky]

Thanks for raising the issue. Somehow this bug came back. Made a PR to fix it.

[HarithaSriAlluri]

Hi, just wanted to know if this issue is fixed.

[dagen6]

Hi, thank you for checking in.

I am unfortunately still experiencing the issue.

The function worked fine when I tested it the first time today, but then when I re-ran it on a different deployment case it threw the same exact error.

My syntax:

!pip install -U semantic-link-labs

import sempy_labs as labs

source_dataset = '###'
source_ws = '###'
target_dataset = '###'
target_ws = '###'

labs.deploy_semantic_model(source_dataset, source_ws, target_dataset, target_ws, True, True)

Note: '###' in the code above is just an abstraction for the real variable values I am using.

[m-kovalsky]

A PR has been made. The fix will go in the next release.

Also, always do %pip install, not !pip install.

[m-kovalsky]

Fixed in 0.8.10.

[dagen6]

Thank you so much!