Updating Semantic Models in Notebooks with Semantic Link

[amcpherson]

Hello All,

Is anyone using Semantic Link in notebooks to update Semantic Models? We are working on a template-based reporting structure that is going to be deployed at scale and want to manage updates programmatically using semantic link. I keep running into an error on the write however that seems to be endpoint related. Any guidance would be appreciated.

Thanks!

[nilendraFabric · Accepted solution]

try this

import sempy.fabric as fabric
import sempy_labs as labs
from sempy_labs.tom import connect_semantic_model

dataset_name = "YourSemanticModelName"
model = connect_semantic_model(dataset_name)

measure = model.tables["YourTable"].measures["YourMeasure"]
measure.description = "New description"

model.save_changes()

[v-veshwara-msft]

Hi @amcpherson 

We’re following up once more regarding your query. If it has been resolved, please mark the helpful reply as the Accepted Solution to assist others facing similar challenges.

If you still need assistance, please let us know.
Thank you.

[v-veshwara-msft]

Hi @amcpherson ,

Following up to see if your query has been resolved. If any of the responses helped, please consider marking the relevant reply as the 'Accepted Solution' to assist others with similar questions.

If you're still facing issues, feel free to reach out.

Thank you.

[v-veshwara-msft · Accepted solution]

Hi @amcpherson ,

Thanks for using Microsoft Fabric Community.

Just checking in to see if you query is resolved and if response from @nilendraFabric  was helpful.
You might also find this related blog post helpful - it walks through a full example of deploying and updating semantic models via Semantic Link in notebooks, along with common issues to avoid:

Programmatically deploy Semantic Models and Report... - Microsoft Fabric Community

For more background, here’s the official Learn document on Semantic Link:

What is semantic link? - Microsoft Fabric | Microsoft Learn

Hope this helps. If any of the responses above resolved your issue, kindly consider marking the helpful reply as Accepted Solution so others can benefit as well.

Feel free to reach out if you need further assistance.

Thank you.

[nilendraFabric · Accepted solution]

try this

import sempy.fabric as fabric
import sempy_labs as labs
from sempy_labs.tom import connect_semantic_model

dataset_name = "YourSemanticModelName"
model = connect_semantic_model(dataset_name)

measure = model.tables["YourTable"].measures["YourMeasure"]
measure.description = "New description"

model.save_changes()