ruff

Signed-off-by: Prithvi Kannan <[email protected]>

tests/databricks_ai_bridge/test_genie.py

@@ -4,7 +4,7 @@
 import pandas as pd
 import pytest
 
-from databricks_ai_bridge.genie import Genie, _parse_query_result, _count_tokens
+from databricks_ai_bridge.genie import Genie, _count_tokens, _parse_query_result
 
 
 @pytest.fixture
@@ -67,6 +67,7 @@ def test_poll_for_result_executing_query(genie, mock_workspace_client):
     result = genie.poll_for_result("123", "456")
     assert result == pd.DataFrame().to_markdown()
 
+
 def test_poll_for_result_failed(genie, mock_workspace_client):
     mock_workspace_client.genie._api.do.side_effect = [
         {"status": "FAILED"},
@@ -77,8 +78,10 @@ def test_poll_for_result_failed(genie, mock_workspace_client):
 
 def test_poll_for_result_max_iterations(genie, mock_workspace_client):
     # patch MAX_ITERATIONS to 2 for this test and sleep to avoid delays
-    with patch("databricks_ai_bridge.genie.MAX_ITERATIONS", 2), \
-         patch("time.sleep", return_value=None):
+    with (
+        patch("databricks_ai_bridge.genie.MAX_ITERATIONS", 2),
+        patch("time.sleep", return_value=None),
+    ):
         mock_workspace_client.genie._api.do.side_effect = [
             {"status": "EXECUTING_QUERY", "attachments": [{"query": {"query": "SELECT *"}}]},
             {
@@ -95,11 +98,12 @@ def test_poll_for_result_max_iterations(genie, mock_workspace_client):
                 "statement_response": {
                     "status": {"state": "RUNNING"},
                 }
-            }
+            },
         ]
         result = genie.poll_for_result("123", "456")
         assert result is None
 
+
 def test_ask_question(genie, mock_workspace_client):
     mock_workspace_client.genie._api.do.side_effect = [
         {"conversation_id": "123", "message_id": "456"},
@@ -172,6 +176,7 @@ def test_parse_query_result_with_null_values():
     )
     assert result == expected_df.to_markdown()
 
+
 def test_parse_query_result_trims_large_data():
     # patch MAX_TOKENS_OF_DATA to 100 for this test
     with patch("databricks_ai_bridge.genie.MAX_TOKENS_OF_DATA", 100):
@@ -201,15 +206,18 @@ def test_parse_query_result_trims_large_data():
             },
         }
         result = _parse_query_result(resp)
-        assert result == pd.DataFrame(
-            {
-                "id": [1, 2, 3],
-                "name": ["Alice", "Bob", "Charlie"],
-                "created_at": [
-                    datetime(2023, 10, 1).date(),
-                    datetime(2023, 10, 2).date(),
-                    datetime(2023, 10, 3).date(),
-                ]
-            }
-        ).to_markdown()
-        assert _count_tokens(result) <= 100
+        assert (
+            result
+            == pd.DataFrame(
+                {
+                    "id": [1, 2, 3],
+                    "name": ["Alice", "Bob", "Charlie"],
+                    "created_at": [
+                        datetime(2023, 10, 1).date(),
+                        datetime(2023, 10, 2).date(),
+                        datetime(2023, 10, 3).date(),
+                    ],
+                }
+            ).to_markdown()
+        )
+        assert _count_tokens(result) <= 100