updated to 0.8.11 (#373)

* updated to 0.8.11

* minor updates

README.md

@@ -1,7 +1,7 @@
 # Semantic Link Labs
 
 [![PyPI version](https://badge.fury.io/py/semantic-link-labs.svg)](https://badge.fury.io/py/semantic-link-labs)
-[![Read The Docs](https://readthedocs.org/projects/semantic-link-labs/badge/?version=0.8.10&style=flat)](https://readthedocs.org/projects/semantic-link-labs/)
+[![Read The Docs](https://readthedocs.org/projects/semantic-link-labs/badge/?version=0.8.11&style=flat)](https://readthedocs.org/projects/semantic-link-labs/)
 [![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
 [![Downloads](https://static.pepy.tech/badge/semantic-link-labs)](https://pepy.tech/project/semantic-link-labs)
 
@@ -116,6 +116,7 @@ An even better way to ensure the semantic-link-labs library is available in your
 2. Select your newly created environment within the 'Environment' drop down in the navigation bar at the top of the notebook
 
 ## Version History
+* [0.8.11](https://github.com/microsoft/semantic-link-labs/releases/tag/0.8.11) (December 19, 2024)
 * [0.8.10](https://github.com/microsoft/semantic-link-labs/releases/tag/0.8.10) (December 16, 2024)
 * [0.8.9](https://github.com/microsoft/semantic-link-labs/releases/tag/0.8.9) (December 4, 2024)
 * [0.8.8](https://github.com/microsoft/semantic-link-labs/releases/tag/0.8.8) (November 28, 2024)

docs/source/conf.py

@@ -13,7 +13,7 @@
 project = 'semantic-link-labs'
 copyright = '2024, Microsoft and community'
 author = 'Microsoft and community'
-release = '0.8.10'
+release = '0.8.11'
 
 # -- General configuration ---------------------------------------------------
 # https://www.sphinx-doc.org/en/master/usage/configuration.html#general-configuration

pyproject.toml

@@ -7,7 +7,7 @@ name="semantic-link-labs"
 authors = [
     { name = "Microsoft Corporation" },
 ]
-version="0.8.10"
+version="0.8.11"
 description="Semantic Link Labs for Microsoft Fabric"
 readme="README.md"
 requires-python=">=3.10,<3.12"

src/sempy_labs/_connections.py

@@ -485,7 +485,7 @@ def create_vnet_connection(
     user_name: str,
     password: str,
     privacy_level: str,
-    connection_encryption: Optional[str] = "NotEncrypted",
+    connection_encryption: str = "NotEncrypted",
     skip_test_connection: bool = False,
 ):
     """

src/sempy_labs/_environments.py

@@ -134,6 +134,8 @@ def publish_environment(environment: str, workspace: Optional[str | UUID] = None
     """
     Publishes a Fabric environment.
 
+    This is a wrapper function for the following API: `Spark Libraries - Publish Environment <https://learn.microsoft.com/rest/api/fabric/environment/spark-libraries/publish-environment>`_.
+
     Parameters
     ----------
     environment: str
@@ -144,8 +146,6 @@ def publish_environment(environment: str, workspace: Optional[str | UUID] = None
         or if no lakehouse attached, resolves to the workspace of the notebook.
     """
 
-    # https://learn.microsoft.com/en-us/rest/api/fabric/environment/spark-libraries/publish-environment?tabs=HTTP
-
     from sempy_labs._helper_functions import resolve_environment_id
 
     (workspace_name, workspace_id) = resolve_workspace_name_and_id(workspace)

src/sempy_labs/_helper_functions.py

@@ -306,7 +306,7 @@ def resolve_lakehouse_id(
 
 
 def get_direct_lake_sql_endpoint(
-    dataset: str | UUID, workspace: Optional[str] = None
+    dataset: str | UUID, workspace: Optional[str | UUID] = None
 ) -> UUID:
     """
     Obtains the SQL Endpoint ID of the semantic model.

src/sempy_labs/directlake/_update_directlake_model_lakehouse_connection.py

@@ -83,7 +83,7 @@ def update_direct_lake_model_connection(
     dataset: str | UUID,
     workspace: Optional[str | UUID] = None,
     source: Optional[str] = None,
-    source_type: Optional[str] = "Lakehouse",
+    source_type: str = "Lakehouse",
     source_workspace: Optional[str | UUID] = None,
 ):
     """

src/sempy_labs/directlake/_update_directlake_partition_entity.py

@@ -24,13 +24,13 @@ def update_direct_lake_partition_entity(
 
     Parameters
     ----------
-    dataset : str | UUID
+    dataset : str | uuid.UUID
         Name or ID of the semantic model.
     table_name : str, List[str]
         Name of the table(s) in the semantic model.
     entity_name : str, List[str]
         Name of the lakehouse table to be mapped to the semantic model table.
-    workspace : str | UUID, default=None
+    workspace : str | uuid.UUID, default=None
         The Fabric workspace name or ID in which the semantic model exists.
         Defaults to None which resolves to the workspace of the attached lakehouse
         or if no lakehouse attached, resolves to the workspace of the notebook.
@@ -94,21 +94,18 @@ def add_table_to_direct_lake_semantic_model(
 
     Parameters
     ----------
-    dataset : str | UUID
+    dataset : str | uuid.UUID
         Name or ID of the semantic model.
     table_name : str, List[str]
         Name of the table in the semantic model.
     lakehouse_table_name : str
         The name of the Fabric lakehouse table.
     refresh : bool, default=True
         Refreshes the table after it is added to the semantic model.
-    workspace : str | UUID, default=None
+    workspace : str | uuid.UUID, default=None
         The name or ID of the Fabric workspace in which the semantic model resides.
         Defaults to None which resolves to the workspace of the attached lakehouse
         or if no lakehouse attached, resolves to the workspace of the notebook.
-
-    Returns
-    -------
     """
 
     sempy.fabric._client._utils._init_analysis_services()

src/sempy_labs/directlake/_warm_cache.py

@@ -28,13 +28,13 @@ def warm_direct_lake_cache_perspective(
 
     Parameters
     ----------
-    dataset : str | UUID
+    dataset : str | uuid.UUID
         Name or ID of the semantic model.
     perspective : str
         Name of the perspective which contains objects to be used for warming the cache.
     add_dependencies : bool, default=False
         Includes object dependencies in the cache warming process.
-    workspace : str | UUID, default=None
+    workspace : str | uuid.UUID, default=None
         The Fabric workspace name or ID.
         Defaults to None which resolves to the workspace of the attached lakehouse
         or if no lakehouse attached, resolves to the workspace of the notebook.
@@ -138,9 +138,9 @@ def warm_direct_lake_cache_isresident(
 
     Parameters
     ----------
-    dataset : str | UUID
+    dataset : str | uuid.UUID
         Name or ID of the semantic model.
-    workspace : str | UUID, default=None
+    workspace : str | uuid.UUID, default=None
         The Fabric workspace name or ID.
         Defaults to None which resolves to the workspace of the attached lakehouse
         or if no lakehouse attached, resolves to the workspace of the notebook.