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Semantic Link Labs to help identify the dependencies
Principal Program Manager, Microsoft Fabric CAT helping users and organizations build scalable, insightful, secure solutions. Blogs, opinions are my own and do not represent my employer.
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But until then, if you want to check whether any reports use the default semantic models, here are two approaches using Semantic Link Labs.
Below we get a list of all the reports in a workspace and is_default column shows if the report uses a default semantic model. The key function here is labs.is_default_semantic_model
#%pip install semantic-link-labs -q
import sempy_labs as labs
import sempy.fabric as fabric
#only the reports in the workspace where the notebook is hosted will be returned
#specify the workspace parameter if you want to search other workspaces & modify accordingly
df = fabric.list_reports().assign(
is_default=lambda df: df.apply(
lambda row: labs.is_default_semantic_model(
fabric.resolve_dataset_name(row['Dataset Id'])
),
axis=1
)
)
df
The other way, you may want to identify if there are any default semantic models that are used by a report.
has_reports column shows if the default model has any reports attached to it. To get the list of reports, use labs.list_reports_using_semantic_model function.
#%pip install semantic-link-labs -q
import sempy_labs as labs
import sempy.fabric as fabric
## only the models in teh workspace where the notebook is hosted will be scanned. Otherwise, specify workspace param
df = fabric.list_datasets()
df = df[df['Dataset Name'].apply(labs.is_default_semantic_model)]
df['has_reports'] = df['Dataset Name'].apply(
lambda name: len(labs.list_reports_using_semantic_model(dataset=name))>0
)
df = df[df['has_reports']]
df
To scan all the workspaces, either use list_items function or loop over the workspaces you are interested in.
Power BI Semantic Models - Microsoft Fabric | Microsoft Learn
Sunsetting Default Semantic Models – Microsoft Fabric | Microsoft Fabric Blog | Microsoft Fabric