[fix] logs and aoai list to string (#43993)

Co-authored-by: zyysurely <yingyingzhao@microsoft.com>

Author: Zyysurely

sdk/evaluation/azure-ai-evaluation/azure/ai/evaluation/_evaluate/_evaluate.py

@@ -1060,7 +1060,7 @@ def _build_internal_log_attributes(
     event_data: Dict[str, Any],
     metric_name: str,
     evaluator_config: Optional[Dict[str, EvaluatorConfig]],
-    internal_log_attributes: Dict[str, str],
+    log_attributes: Dict[str, str],
 ) -> Dict[str, str]:
     """
     Build internal log attributes for OpenTelemetry logging.
@@ -1074,6 +1074,8 @@ def _build_internal_log_attributes(
     :return: Dictionary of internal log attributes
     :rtype: Dict[str, str]
     """
+    # Create a copy of the base log attributes
+    internal_log_attributes: Dict[str, str] = log_attributes.copy()
     # Add threshold if present
     if event_data.get("threshold"):
         internal_log_attributes["gen_ai.evaluation.threshold"] = str(event_data["threshold"])
@@ -1104,6 +1106,12 @@ def _build_internal_log_attributes(
                         internal_log_attributes["gen_ai.evaluation.min_value"] = str(metric_config_detail["min_value"])
                     if metric_config_detail.get("max_value") is not None:
                         internal_log_attributes["gen_ai.evaluation.max_value"] = str(metric_config_detail["max_value"])
+                    if metric_config_detail.get("desirable_direction") is not None:
+                        internal_log_attributes["gen_ai.evaluation.desirable_direction"] = str(
+                            metric_config_detail["desirable_direction"]
+                        )
+                    if metric_config_detail.get("type") is not None:
+                        internal_log_attributes["gen_ai.evaluation.type"] = str(metric_config_detail["type"])
 
     return internal_log_attributes
 

sdk/evaluation/azure-ai-evaluation/azure/ai/evaluation/_evaluate/_evaluate_aoai.py

@@ -862,12 +862,8 @@ def _convert_value_to_string(val: Any) -> str:
         for _, rel_parts, df_col in path_specs:
             # Safely fetch value
             val = row.get(df_col, None)
-
-            if isinstance(val, list):
-                str_val = val
-            else:
-                # Convert value to string to match schema's "type": "string" leaves.
-                str_val = _convert_value_to_string(val)
+            # Convert value to string to match schema's "type": "string" leaves.
+            str_val = _convert_value_to_string(val)
 
             # Insert into nested dict
             cursor = item_root
@@ -887,10 +883,7 @@ def _convert_value_to_string(val: Any) -> str:
         for col_name in input_data_df.columns:
             if col_name not in processed_cols:
                 val = row.get(col_name, None)
-                if isinstance(val, list):
-                    str_val = val
-                else:
-                    str_val = _convert_value_to_string(val)
+                str_val = _convert_value_to_string(val)
                 item_root[col_name] = str_val
 
         content.append({WRAPPER_KEY: item_root})