ruff format

Author: ckittask

.github/workflows/deepeval-tests.yml

@@ -71,7 +71,7 @@ jobs:
             const missingSecrets = '${{ steps.validate_secrets.outputs.secrets_list }}'.split(' ');
             const secretsList = missingSecrets.map(s => `- \`${s}\``).join('\n');
             
-            const comment = `## ⚠️ DeepEval Tests: Missing Required Secrets
+            const comment = `##  DeepEval Tests: Missing Required Secrets
             
             The DeepEval RAG system tests cannot run because the following GitHub secrets are not configured:
             

.github/workflows/deepteam-red-team-tests.yml

@@ -82,7 +82,7 @@ jobs:
             const missingSecrets = '${{ steps.validate_secrets.outputs.secrets_list }}'.split(' ');
             const secretsList = missingSecrets.map(s => `- \`${s}\``).join('\n');
             
-            const comment = `## 🛡️ Red Team Security Tests: Missing Required Secrets
+            const comment = `##  Red Team Security Tests: Missing Required Secrets
             
             The Red Team security assessment cannot run because the following GitHub secrets are not configured:
             

src/llm_orchestration_service.py

@@ -1084,16 +1084,15 @@ def _generate_rag_response(
                     logger.info(
                         "Test environment detected – returning out-of-scope message."
                     )
-                    
+
                     return TestOrchestrationResponse(
                         llmServiceActive=True,  # service OK; insufficient context
                         questionOutOfLLMScope=True,
                         inputGuardFailed=False,
                         content=OUT_OF_SCOPE_MESSAGE,
                     )
                 else:
-                    
-                    response =  OrchestrationResponse(
+                    response = OrchestrationResponse(
                         chatId=request.chatId,
                         llmServiceActive=True,  # service OK; insufficient context
                         questionOutOfLLMScope=True,
@@ -1103,7 +1102,7 @@ def _generate_rag_response(
                     if testing_mode:
                         response.retrieval_context = retrieval_context
                         response.refined_questions = refined_output.refined_questions
-                    return response 
+                    return response
 
             # In-scope: return the answer as-is (NO citations)
             logger.info("Returning in-scope answer without citations.")
@@ -1116,7 +1115,7 @@ def _generate_rag_response(
                     content=answer,
                 )
             else:
-                response =  OrchestrationResponse(
+                response = OrchestrationResponse(
                     chatId=request.chatId,
                     llmServiceActive=True,
                     questionOutOfLLMScope=False,

src/llm_orchestration_service_api.py

@@ -1,4 +1,5 @@
 """LLM Orchestration Service API - FastAPI application."""
+
 import os
 from contextlib import asynccontextmanager
 from typing import Any, AsyncGenerator, Dict
@@ -18,7 +19,7 @@
     ContextGenerationRequest,
     ContextGenerationResponse,
     EmbeddingErrorResponse,
-    DeepEvalTestOrchestrationResponse
+    DeepEvalTestOrchestrationResponse,
 )
 
 
@@ -300,6 +301,7 @@ async def get_available_embedding_models(
         logger.error(f"Failed to get embedding models: {e}")
         raise HTTPException(status_code=500, detail=str(e))
 
+
 @app.post("orchestrate-test")
 def orchestrate_llm_request_test(
     http_request: Request,

src/models/request_models.py

@@ -163,6 +163,7 @@ class TestOrchestrationResponse(BaseModel):
     )
     content: str = Field(..., description="Response content with citations")
 
+
 class DeepEvalTestOrchestrationResponse(BaseModel):
     """Extended response model for testing with additional evaluation data."""
 
@@ -173,4 +174,4 @@ class DeepEvalTestOrchestrationResponse(BaseModel):
     content: str
     retrieval_context: Optional[List[Dict[str, Any]]] = None
     refined_questions: Optional[List[str]] = None
-    expected_output: Optional[str] = None  # For DeepEval
+    expected_output: Optional[str] = None  # For DeepEval

tests/conftest.py

@@ -730,4 +730,4 @@ def orchestration_client(rag_stack: RAGStackTestContainers) -> Any:
         {"Content-Type": "application/json", "Accept": "application/json"}
     )
     setattr(session, "base_url", rag_stack.get_orchestration_service_url())
-    return session
+    return session

tests/deepeval_tests/red_team_report_generator.py

@@ -522,4 +522,4 @@ def main():
 
 
 if __name__ == "__main__":
-    main()
+    main()

tests/deepeval_tests/red_team_tests.py

@@ -448,4 +448,4 @@ def _test_attack_category(
                 )
 
         category_duration = (datetime.datetime.now() - category_start).total_seconds()
-        print(f"  {category_name} completed in {category_duration:.1f}s")
+        print(f"  {category_name} completed in {category_duration:.1f}s")

tests/deepeval_tests/report_generator.py

@@ -303,4 +303,4 @@ def main():
 
 
 if __name__ == "__main__":
-    main()
+    main()

tests/deepeval_tests/standard_tests.py

@@ -278,4 +278,4 @@ def test_all_metrics(self, test_item: Dict[str, Any], orchestration_client):
         # Now raise assertion if any metrics failed (for pytest reporting)
         if failed_assertions:
             # Just raise the first failure to keep pytest output clean
-            raise AssertionError(failed_assertions[0])
+            raise AssertionError(failed_assertions[0])