adding fabric data source to context from python notebook

[muhssamy]

Describe the bug
when i am trying

data_source_name = dataset
data_source = context.data_sources.add_fabric_powerbi(
    data_source_name, dataset=dataset, workspace=workspace
)

this is working in pyspark experience and not in python experience. only add is the issue you can complete the actions

File ~/jupyter-env/python3.11/lib/python3.11/site-packages/great_expectations/datasource/datasource_dict.py:197, in CacheableDatasourceDict.__getitem__(self, name)
    196 # Upon cache miss, retrieve from store and add to cache
--> 197 ds = super().__getitem__(name)
    198 self.data[name] = ds

File ~/jupyter-env/python3.11/lib/python3.11/site-packages/great_expectations/datasource/datasource_dict.py:115, in DatasourceDict.__getitem__(self, name)
    113 @override
    114 def __getitem__(self, name: str) -> FluentDatasource:
--> 115     ds = self._get_ds_from_store(name)
    117     return self._init_fluent_datasource(name=name, ds=ds)

File ~/jupyter-env/python3.11/lib/python3.11/site-packages/great_expectations/datasource/datasource_dict.py:106, in DatasourceDict._get_ds_from_store(self, name)
    105 except ValueError:
--> 106     raise KeyError(f"Could not find a datasource named '{name}'")

KeyError: "Could not find a datasource named 'Sales Semantic Model'"

During handling of the above exception, another exception occurred:

TestConnectionError                       Traceback (most recent call last)
Cell In[15], line 9
      6     print(f"✅ Using existing data source: {data_source_name}")
      7 except:
      8     # Create new if doesn't exist
----> 9     data_source = context.data_sources.add_fabric_powerbi(
     10         data_source_name, dataset=dataset, workspace=workspace
     11     )
     12     print(f"✅ Created new data source: {data_source_name}")

File ~/jupyter-env/python3.11/lib/python3.11/site-packages/great_expectations/datasource/fluent/sources.py:476, in DataSourceManager.create_add_crud_method.<locals>.add_datasource(name_or_datasource, **kwargs)
    474 logger.debug(f"Adding {datasource_type} with {datasource.name}")
    475 datasource._data_context = self._data_context
--> 476 datasource.test_connection()
    477 datasource = self._data_context._add_fluent_datasource(datasource)
    479 return datasource

File ~/jupyter-env/python3.11/lib/python3.11/site-packages/great_expectations/datasource/fluent/fabric.py:301, in FabricPowerBIDatasource.test_connection(self, test_assets)
    292 """Test the connection for the FabricPowerBIDatasource.
    293 
    294 Args:
   (...)
    298     TestConnectionError: If the connection test fails.
    299 """
    300 if not self._running_on_fabric():
--> 301     raise TestConnectionError("Must be running Microsoft Fabric to use this datasource")  # noqa: TRY003 # FIXME CoP
    303 try:
    304     from sempy import fabric  # noqa: F401 # test if fabric is installed

TestConnectionError: Must be running Microsoft Fabric to use this datasource

To Reproduce
try to add a power bi data model from python notebook vs pyspark notebook

Expected behavior
they should be the same

Environment (please complete the following information):
fabric notebook