fixed linter issues

Author: knfreemLD

packages/sdk/server-ai/src/ldai/judge/__init__.py

@@ -9,8 +9,7 @@
 from ldai.judge.evaluation_schema_builder import EvaluationSchemaBuilder
 from ldai.models import AIJudgeConfig, LDMessage
 from ldai.providers.ai_provider import AIProvider
-from ldai.providers.types import (ChatResponse, EvalScore, JudgeResponse,
-                                  StructuredResponse)
+from ldai.providers.types import ChatResponse, EvalScore, JudgeResponse
 from ldai.tracker import LDAIConfigTracker
 
 
@@ -70,8 +69,8 @@ async def evaluate(
                 return None
 
             messages = self._construct_evaluation_messages(input_text, output_text)
+            assert self._evaluation_response_structure is not None
 
-            # Track metrics of the structured model invocation
             response = await self._ai_config_tracker.track_metrics_of(
                 lambda: self._ai_provider.invoke_structured_model(messages, self._evaluation_response_structure),
                 lambda result: result.metrics,
@@ -190,6 +189,10 @@ def _parse_evaluation_response(self, data: Dict[str, Any]) -> Dict[str, EvalScor
         evaluations = data['evaluations']
 
         metric_key = self._ai_config.evaluation_metric_key
+        if not metric_key:
+            log.warn('Evaluation metric key is missing')
+            return results
+
         evaluation = evaluations.get(metric_key)
 
         if not evaluation or not isinstance(evaluation, dict):

packages/sdk/server-ai/src/ldai/judge/evaluation_schema_builder.py

@@ -17,7 +17,7 @@ def build(evaluation_metric_key: Optional[str]) -> Optional[Dict[str, Any]]:
         :param evaluation_metric_key: Evaluation metric key, or None if not available
         :return: Schema dictionary for structured output, or None if evaluation_metric_key is None
         """
-        if evaluation_metric_key is None:
+        if not evaluation_metric_key:
             return None
 
         return {