✏️ fix linter issues

src/databricks/labs/mcp/servers/unity_catalog/cli.py

@@ -35,7 +35,9 @@ class CliSettings(BaseSettings):
     vector_search_num_results: int = Field(
         default=5,
         description="Number of results to return from vector search queries",
-        validation_alias=AliasChoices("vn", "vector_search_num_results", "vector_num_results"),
+        validation_alias=AliasChoices(
+            "vn", "vector_search_num_results", "vector_num_results"
+        ),
     )
 
     def get_catalog_name(self):

src/databricks/labs/mcp/servers/unity_catalog/tools/vector_search.py

@@ -15,7 +15,14 @@ class QueryInput(BaseModel):
 
 
 class VectorSearchTool(BaseTool):
-    def __init__(self, endpoint_name: str, index_name: str, tool_name: str, columns: list[str], num_results: int = 5):
+    def __init__(
+        self,
+        endpoint_name: str,
+        index_name: str,
+        tool_name: str,
+        columns: list[str],
+        num_results: int = 5,
+    ):
         self.endpoint_name = endpoint_name
         self.index_name = index_name
         self.tool_name = tool_name
@@ -46,17 +53,20 @@ def execute(self, **kwargs):
         return [TextContent(type="text", text=json.dumps(docs, indent=2))]
 
 
-def get_table_columns(workspace_client: WorkspaceClient, full_table_name: str) -> list[str]:
+def get_table_columns(
+    workspace_client: WorkspaceClient, full_table_name: str
+) -> list[str]:
     table_info = workspace_client.tables.get(full_table_name)
     return [
-        col.name
-        for col in table_info.columns
-        if col.name != CONTENT_VECTOR_COLUMN_NAME
+        col.name for col in table_info.columns if col.name != CONTENT_VECTOR_COLUMN_NAME
     ]
 
 
 def _list_vector_search_tools(
-    workspace_client: WorkspaceClient, catalog_name: str, schema_name: str, vector_search_num_results: int
+    workspace_client: WorkspaceClient,
+    catalog_name: str,
+    schema_name: str,
+    vector_search_num_results: int,
 ) -> list[VectorSearchTool]:
     tools = []
     for table in workspace_client.tables.list(
@@ -71,12 +81,18 @@ def _list_vector_search_tools(
 
         columns = get_table_columns(workspace_client, index_name)
 
-        tools.append(VectorSearchTool(endpoint, index_name, tool_name, columns, vector_search_num_results))
+        tools.append(
+            VectorSearchTool(
+                endpoint, index_name, tool_name, columns, vector_search_num_results
+            )
+        )
 
     return tools
 
 
 def list_vector_search_tools(settings: CliSettings) -> list[VectorSearchTool]:
     workspace_client = WorkspaceClient()
     catalog_name, schema_name = settings.schema_full_name.split(".")
-    return _list_vector_search_tools(workspace_client, catalog_name, schema_name, settings.vector_search_num_results)
+    return _list_vector_search_tools(
+        workspace_client, catalog_name, schema_name, settings.vector_search_num_results
+    )

tests/test_vector_search.py

@@ -29,7 +29,11 @@ def __init__(self, name):
                 self.name = name
 
         class DummyTableInfo:
-            columns = [DummyColumn("col1"), DummyColumn("col2"), DummyColumn("__db_content_vector")]
+            columns = [
+                DummyColumn("col1"),
+                DummyColumn("col2"),
+                DummyColumn("__db_content_vector"),
+            ]
 
         return DummyTableInfo()
 
@@ -41,6 +45,7 @@ def __init__(self):
 
 class DummySettings:
     schema_full_name = "cat.sch"
+    vector_search_num_results = 5
 
 
 @mock.patch(
@@ -59,14 +64,16 @@ def test_list_vector_search_tools_filters_and_returns_expected():
 
 def test_internal_list_vector_search_tools_direct():
     client = DummyWorkspaceClient()
-    tools = _list_vector_search_tools(client, "cat", "sch")
+    tools = _list_vector_search_tools(client, "cat", "sch", vector_search_num_results=5)
     assert len(tools) == 1
     assert isinstance(tools[0], VectorSearchTool)
     assert tools[0].index_name == "cat.sch.tbl1"
     assert tools[0].columns == ["col1", "col2"]
 
 
-@mock.patch("databricks.labs.mcp.servers.unity_catalog.tools.vector_search.VectorSearchClient")
+@mock.patch(
+    "databricks.labs.mcp.servers.unity_catalog.tools.vector_search.VectorSearchClient"
+)
 def test_vector_search_tool_execute(MockVectorSearchClient):
     mock_index = mock.Mock()
     mock_index.similarity_search.return_value = {
@@ -87,4 +94,4 @@ def test_vector_search_tool_execute(MockVectorSearchClient):
 
     assert isinstance(result, list)
     assert result[0].text.strip().startswith("[")  # It should be JSON string
-    assert "score" in result[0].text
+    assert "score" in result[0].text