fix duplication (#605)

* fix duplication

* 098

Author: m-kovalsky

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=0.9.7&style=flat)](https://readthedocs.org/projects/semantic-link-labs/)
+[![Read The Docs](https://readthedocs.org/projects/semantic-link-labs/badge/?version=0.9.8&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)
 
@@ -123,6 +123,7 @@ 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
+* [0.9.8](https://github.com/microsoft/semantic-link-labs/releases/tag/0.9.8) (April 3, 2025)
 * [0.9.7](https://github.com/microsoft/semantic-link-labs/releases/tag/0.9.7) (April 1, 2025)
 * [0.9.6](https://github.com/microsoft/semantic-link-labs/releases/tag/0.9.6) (March 12, 2025)
 * [0.9.5](https://github.com/microsoft/semantic-link-labs/releases/tag/0.9.5) (March 7, 2025)

docs/source/conf.py

@@ -13,7 +13,7 @@
 project = 'semantic-link-labs'
 copyright = '2024, Microsoft and community'
 author = 'Microsoft and community'
-release = '0.9.7'
+release = '0.9.8'
 
 # -- 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="0.9.7"
+version="0.9.8"
 description="Semantic Link Labs for Microsoft Fabric"
 readme="README.md"
 requires-python=">=3.10,<3.12"

src/sempy_labs/_helper_functions.py

@@ -392,7 +392,7 @@ def resolve_lakehouse_name_and_id(
     lakehouse: Optional[str | UUID] = None, workspace: Optional[str | UUID] = None
 ) -> Tuple[str, UUID]:
 
-    (workspace_name, workspace_id) = resolve_workspace_name_and_id(workspace)
+    workspace_id = resolve_workspace_id(workspace)
     type = "Lakehouse"
 
     if lakehouse is None:
@@ -896,113 +896,6 @@ def resolve_workspace_name_and_id(
     return workspace_name, workspace_id
 
 
-def resolve_item_id(
-    item: str | UUID, type: Optional[str] = None, workspace: Optional[str | UUID] = None
-) -> UUID:
-
-    (workspace_name, workspace_id) = resolve_workspace_name_and_id(workspace)
-    item_id = None
-
-    if _is_valid_uuid(item):
-        # Check (optional)
-        item_id = item
-        try:
-            _base_api(
-                request=f"/v1/workspaces/{workspace_id}/items/{item_id}",
-                client="fabric_sp",
-            )
-        except FabricHTTPException:
-            raise ValueError(
-                f"{icons.red_dot} The '{item_id}' item was not found in the '{workspace_name}' workspace."
-            )
-    else:
-        if type is None:
-            raise ValueError(
-                f"{icons.red_dot} The 'type' parameter is required if specifying an item name."
-            )
-        responses = _base_api(
-            request=f"/v1/workspaces/{workspace_id}/items?type={type}",
-            client="fabric_sp",
-            uses_pagination=True,
-        )
-        for r in responses:
-            for v in r.get("value", []):
-                display_name = v.get("displayName")
-                if display_name == item:
-                    item_id = v.get("id")
-                    break
-
-    if item_id is None:
-        raise ValueError(
-            f"{icons.red_dot} There's no item '{item}' of type '{type}' in the '{workspace_name}' workspace."
-        )
-
-    return item_id
-
-
-def resolve_item_name_and_id(
-    item: str | UUID, type: Optional[str] = None, workspace: Optional[str | UUID] = None
-) -> Tuple[str, UUID]:
-
-    workspace_id = resolve_workspace_id(workspace)
-    item_id = resolve_item_id(item=item, type=type, workspace=workspace_id)
-    item_name = (
-        _base_api(
-            request=f"/v1/workspaces/{workspace_id}/items/{item_id}", client="fabric_sp"
-        )
-        .json()
-        .get("displayName")
-    )
-
-    return item_name, item_id
-
-
-def resolve_item_name(item_id: UUID, workspace: Optional[str | UUID] = None) -> str:
-
-    workspace_id = resolve_workspace_id(workspace)
-    try:
-        item_name = (
-            _base_api(
-                request=f"/v1/workspaces/{workspace_id}/items/{item_id}",
-                client="fabric_sp",
-            )
-            .json()
-            .get("displayName")
-        )
-    except FabricHTTPException:
-        raise ValueError(
-            f"{icons.red_dot} The '{item_id}' item was not found in the '{workspace_id}' workspace."
-        )
-
-    return item_name
-
-
-def resolve_lakehouse_name_and_id(
-    lakehouse: Optional[str | UUID] = None, workspace: Optional[str | UUID] = None
-) -> Tuple[str, UUID]:
-
-    (workspace_name, workspace_id) = resolve_workspace_name_and_id(workspace)
-    type = "Lakehouse"
-
-    if lakehouse is None:
-        lakehouse_id = fabric.get_lakehouse_id()
-        lakehouse_name = fabric.resolve_item_name(
-            item_id=lakehouse_id, type=type, workspace=workspace_id
-        )
-    elif _is_valid_uuid(lakehouse):
-        lakehouse_id = lakehouse
-        lakehouse_name = fabric.resolve_item_name(
-            item_id=lakehouse_id, type=type, workspace=workspace_id
-        )
-    else:
-        lakehouse_name = lakehouse
-        lakehouse_id = fabric.resolve_item_id(
-            item_name=lakehouse, type=type, workspace=workspace_id
-        )
-
-    return lakehouse_name, lakehouse_id
-
-
 def _extract_json(dataframe: pd.DataFrame) -> dict:
 
     payload = dataframe["payload"].iloc[0]

src/sempy_labs/tom/_model.py

@@ -5065,7 +5065,9 @@ def _generate_m_expression(
         # Remove the Direct Lake partition
         self.remove_object(object=p)
 
-        print(f"{icons.green_dot} The '{table_name}' table has been converted to Import mode.")
+        print(
+            f"{icons.green_dot} The '{table_name}' table has been converted to Import mode."
+        )
 
     def close(self):