style: ruff autofix (auto)

Author: autofix-ci[bot]

src/app/lifespan.py

@@ -228,25 +228,33 @@ async def run_startup(app: FastAPI):
             )
         else:
             from auth.ibm_auth import admin_username_from_service_jwt
+
             admin_username = admin_username_from_service_jwt(service_token)
             if not admin_username and OPENRAG_BOOTSTRAP_OS_SECURITY_ON_STARTUP:
                 raise RuntimeError(
                     "OPENRAG_SERVICE_TOKEN has no 'username' or 'sub' claim; "
                     "cannot bootstrap OpenSearch security"
                 )
-            
+
             from utils.opensearch_init import wait_for_opensearch
-            
+
             opensearch_client = clients.create_opensearch_client_from_jwt(service_token)
             try:
-                await wait_for_opensearch(opensearch_client, max_retries=OPENSEARCH_WAIT_MAX_RETRIES)
-                
+                await wait_for_opensearch(
+                    opensearch_client, max_retries=OPENSEARCH_WAIT_MAX_RETRIES
+                )
+
                 if OPENRAG_BOOTSTRAP_OS_SECURITY_ON_STARTUP:
                     from utils.opensearch_utils import setup_opensearch_security
+
                     logger.info("Bootstrapping OpenSearch security", admin_username=admin_username)
-                    await setup_opensearch_security(opensearch_client, admin_username=admin_username)
-                    logger.info("OpenSearch security bootstrap completed", admin_username=admin_username)
-                
+                    await setup_opensearch_security(
+                        opensearch_client, admin_username=admin_username
+                    )
+                    logger.info(
+                        "OpenSearch security bootstrap completed", admin_username=admin_username
+                    )
+
                 if OPENRAG_ENSURE_INDEX_REPLICAS_ON_STARTUP:
                     try:
                         from utils.opensearch_init import ensure_openrag_index_replicas

src/utils/embeddings.py

@@ -2,9 +2,10 @@
 
 logger = get_logger(__name__)
 
+
 async def create_index_body() -> dict:
     """Create a static index body configuration.
-        
+
     Returns:
         OpenSearch index body configuration
     """
@@ -17,7 +18,7 @@ async def create_index_body() -> dict:
         "settings": {
             "index": {"knn": True},
             "number_of_shards": OPENSEARCH_NUMBER_OF_SHARDS,
-            "number_of_replicas": OPENSEARCH_NUMBER_OF_REPLICAS
+            "number_of_replicas": OPENSEARCH_NUMBER_OF_REPLICAS,
         },
         "mappings": {
             "properties": {

src/utils/opensearch_init.py

@@ -253,7 +253,6 @@ async def init_index(opensearch_client=None, admin_username: str = None):
             )
             await _ensure_index_replicas(os_client, API_KEYS_INDEX_NAME)
 
-
         await configure_alerting_security()
 
     except Exception as e:

tests/unit/test_embedding_fields.py

@@ -8,6 +8,7 @@
 JVector/DiskANN method configuration with only the dimension varying per
 embedding model.
 """
+
 from typing import Any, Dict
 
 import pytest
@@ -99,7 +100,7 @@ class TestBuildKnnVectorFieldCallSitesMatch:
     def test_index_body_uses_helper_output(self) -> None:
         from config.settings import INDEX_BODY, VECTOR_DIM
 
-        chunk_field: Dict[str, Any] = INDEX_BODY["mappings"]["properties"]["chunk_embedding"]
+        chunk_field: dict[str, Any] = INDEX_BODY["mappings"]["properties"]["chunk_embedding"]
         expected = build_knn_vector_field(VECTOR_DIM)
         assert chunk_field == expected