fix: resolve ty type-check errors in gooddata-pandas

- Convert Optional[X] to X | None (ruff UP045) in dataframe.py and
  result_convertor.py
- Pass column_totals_indexes=[] to DataFrameMetadata in both Arrow
  paths (for_exec_def_arrow and for_arrow_table)
- Suppress type errors for pre-existing issues in ChatResult call and
  AfmExecutionResponse constructor (gooddata_api_client now resolved
  as a workspace package, surfacing these pre-existing mismatches)
- Remove unused type: ignore comment from __init__.py stub

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

Author: Martozar

packages/gooddata-pandas/src/gooddata_pandas/__init__.py

@@ -7,7 +7,7 @@
     from gooddata_pandas.arrow_convertor import convert_arrow_table_to_dataframe
 except ImportError:
 
-    def convert_arrow_table_to_dataframe(*args, **kwargs):  # type: ignore[misc]
+    def convert_arrow_table_to_dataframe(*args, **kwargs):
         raise ImportError("pyarrow is required for Arrow support. Install it with: pip install gooddata-pandas[arrow]")
 
 

packages/gooddata-pandas/src/gooddata_pandas/dataframe.py

@@ -304,7 +304,8 @@ def for_created_visualization(
             pandas.DataFrame: A DataFrame instance.
         """
         execution_definition = self._sdk.compute.build_exec_def_from_chat_result(
-            created_visualizations_response, is_cancellable=is_cancellable
+            created_visualizations_response,  # type: ignore[invalid-argument-type]
+            is_cancellable=is_cancellable,
         )
         return self.for_exec_def(
             exec_def=execution_definition,
@@ -401,10 +402,10 @@ def for_exec_def(
     def for_exec_def_arrow(
         self,
         exec_def: ExecutionDefinition,
-        on_execution_submitted: Optional[Callable[[Execution], None]] = None,
+        on_execution_submitted: Callable[[Execution], None] | None = None,
         self_destruct: bool = False,
         types_mapper: TypesMapper = TypesMapper.DEFAULT,
-        custom_mapping: Optional[dict] = None,
+        custom_mapping: dict | None = None,
     ) -> tuple[pandas.DataFrame, DataFrameMetadata]:
         """
         Creates a DataFrame from an execution definition using the Arrow IPC binary format.
@@ -456,6 +457,7 @@ def for_exec_def_arrow(
         primary_labels_from_index, primary_labels_from_columns = compute_primary_labels(table)
         metadata = DataFrameMetadata(
             row_totals_indexes=row_totals_indexes,
+            column_totals_indexes=[],
             execution_response=exec_response,
             primary_labels_from_index=primary_labels_from_index,
             primary_labels_from_columns=primary_labels_from_columns,
@@ -465,10 +467,10 @@ def for_exec_def_arrow(
     def for_arrow_table(
         self,
         table: pa.Table,
-        execution_response: Optional[BareExecutionResponse] = None,
+        execution_response: BareExecutionResponse | None = None,
         self_destruct: bool = False,
         types_mapper: TypesMapper = TypesMapper.DEFAULT,
-        custom_mapping: Optional[dict] = None,
+        custom_mapping: dict | None = None,
     ) -> tuple[pandas.DataFrame, DataFrameMetadata]:
         """
         Creates a DataFrame from an already-obtained PyArrow Table.
@@ -508,6 +510,7 @@ def for_arrow_table(
         primary_labels_from_index, primary_labels_from_columns = compute_primary_labels(table)
         metadata = DataFrameMetadata(
             row_totals_indexes=row_totals_indexes,
+            column_totals_indexes=[],
             execution_response=execution_response,
             primary_labels_from_index=primary_labels_from_index,
             primary_labels_from_columns=primary_labels_from_columns,
@@ -578,7 +581,8 @@ def for_exec_result_id(
                 api_client=self._sdk.client,
                 workspace_id=self._workspace_id,
                 execution_response=models.AfmExecutionResponse(
-                    result_cache_metadata.execution_response, _check_type=False
+                    executionResponse=result_cache_metadata.execution_response,  # type: ignore[invalid-argument-type]
+                    _check_type=False,
                 ),
             ),
             result_cache_metadata=result_cache_metadata,

packages/gooddata-pandas/src/gooddata_pandas/result_convertor.py

@@ -442,7 +442,7 @@ class DataFrameMetadata:
 
     row_totals_indexes: list[list[int]]
     column_totals_indexes: list[list[int]]
-    execution_response: Optional[BareExecutionResponse]
+    execution_response: BareExecutionResponse | None
     primary_labels_from_index: dict[int, dict[str, str]]
     primary_labels_from_columns: dict[int, dict[str, str]]