Revert whitespace changes

Author: pamelafox

app/backend/app.py

@@ -188,9 +188,7 @@ async def ask(auth_claims: dict[str, Any]):
     try:
         approach: Approach = cast(Approach, current_app.config[CONFIG_ASK_APPROACH])
         r = await approach.run(
-            request_json["messages"],
-            context=context,
-            session_state=request_json.get("session_state"),
+            request_json["messages"], context=context, session_state=request_json.get("session_state")
         )
         return jsonify(r)
     except Exception as error:
@@ -331,10 +329,7 @@ async def speech():
             + "#"
             + current_app.config[CONFIG_SPEECH_SERVICE_TOKEN].token
         )
-        speech_config = SpeechConfig(
-            auth_token=auth_token,
-            region=current_app.config[CONFIG_SPEECH_SERVICE_LOCATION],
-        )
+        speech_config = SpeechConfig(auth_token=auth_token, region=current_app.config[CONFIG_SPEECH_SERVICE_LOCATION])
         speech_config.speech_synthesis_voice_name = current_app.config[CONFIG_SPEECH_SERVICE_VOICE]
         speech_config.speech_synthesis_output_format = SpeechSynthesisOutputFormat.Audio16Khz32KBitRateMonoMp3
         synthesizer = SpeechSynthesizer(speech_config=speech_config, audio_config=None)
@@ -344,9 +339,7 @@ async def speech():
         elif result.reason == ResultReason.Canceled:
             cancellation_details = result.cancellation_details
             current_app.logger.error(
-                "Speech synthesis canceled: %s %s",
-                cancellation_details.reason,
-                cancellation_details.error_details,
+                "Speech synthesis canceled: %s %s", cancellation_details.reason, cancellation_details.error_details
             )
             raise Exception("Speech synthesis canceled. Check logs for details.")
         else:
@@ -370,22 +363,11 @@ async def upload(auth_claims: dict[str, Any]):
         adls_manager: AdlsBlobManager = current_app.config[CONFIG_USER_BLOB_MANAGER]
         file_url = await adls_manager.upload_blob(file, file.filename, user_oid)
         ingester: UploadUserFileStrategy = current_app.config[CONFIG_INGESTER]
-        await ingester.add_file(
-            File(content=file, url=file_url, acls={"oids": [user_oid]}),
-            user_oid=user_oid,
-        )
+        await ingester.add_file(File(content=file, url=file_url, acls={"oids": [user_oid]}), user_oid=user_oid)
         return jsonify({"message": "File uploaded successfully"}), 200
     except Exception as error:
         current_app.logger.error("Error uploading file: %s", error)
-        return (
-            jsonify(
-                {
-                    "message": "Error uploading file, check server logs for details.",
-                    "status": "failed",
-                }
-            ),
-            500,
-        )
+        return jsonify({"message": "Error uploading file, check server logs for details.", "status": "failed"}), 500
 
 
 @bp.post("/delete_uploaded")
@@ -505,17 +487,15 @@ async def setup_clients():
             # ManagedIdentityCredential should use AZURE_CLIENT_ID if set in env, but its not working for some reason,
             # so we explicitly pass it in as the client ID here. This is necessary for user-assigned managed identities.
             current_app.logger.info(
-                "Setting up Azure credential using ManagedIdentityCredential with client_id %s",
-                AZURE_CLIENT_ID,
+                "Setting up Azure credential using ManagedIdentityCredential with client_id %s", AZURE_CLIENT_ID
             )
             azure_credential = ManagedIdentityCredential(client_id=AZURE_CLIENT_ID)
         else:
             current_app.logger.info("Setting up Azure credential using ManagedIdentityCredential")
             azure_credential = ManagedIdentityCredential()
     elif AZURE_TENANT_ID:
         current_app.logger.info(
-            "Setting up Azure credential using AzureDeveloperCliCredential with tenant_id %s",
-            AZURE_TENANT_ID,
+            "Setting up Azure credential using AzureDeveloperCliCredential with tenant_id %s", AZURE_TENANT_ID
         )
         azure_credential = AzureDeveloperCliCredential(tenant_id=AZURE_TENANT_ID, process_timeout=60)
     else:
@@ -535,9 +515,7 @@ async def setup_clients():
         credential=azure_credential,
     )
     agent_client = KnowledgeAgentRetrievalClient(
-        endpoint=AZURE_SEARCH_ENDPOINT,
-        agent_name=AZURE_SEARCH_AGENT,
-        credential=azure_credential,
+        endpoint=AZURE_SEARCH_ENDPOINT, agent_name=AZURE_SEARCH_AGENT, credential=azure_credential
     )
 
     # Set up the global blob storage manager (used for global content/images, but not user uploads)
@@ -622,9 +600,7 @@ async def setup_clients():
             openai_deployment=AZURE_OPENAI_CHATGPT_DEPLOYMENT if OPENAI_HOST == OpenAIHost.AZURE else None,
         )
         search_info = await setup_search_info(
-            search_service=AZURE_SEARCH_SERVICE,
-            index_name=AZURE_SEARCH_INDEX,
-            azure_credential=azure_credential,
+            search_service=AZURE_SEARCH_SERVICE, index_name=AZURE_SEARCH_INDEX, azure_credential=azure_credential
         )
         text_embeddings_service = setup_embeddings_service(
             azure_credential=azure_credential,

app/backend/approaches/approach.py

@@ -475,11 +475,7 @@ async def compute_multimodal_embedding(self, q: str):
         if not self.image_embeddings_client:
             raise ValueError("Approach is missing an image embeddings client for multimodal queries")
         multimodal_query_vector = await self.image_embeddings_client.create_embedding_for_text(q)
-        return VectorizedQuery(
-            vector=multimodal_query_vector,
-            k_nearest_neighbors=50,
-            fields="images/embedding",
-        )
+        return VectorizedQuery(vector=multimodal_query_vector, k_nearest_neighbors=50, fields="images/embedding")
 
     def get_system_prompt_variables(self, override_prompt: Optional[str]) -> dict[str, str]:
         # Allows client to replace the entire prompt, or to inject into the existing prompt using >>>