fix lint issues

src/utils/settings.py

@@ -34,6 +34,7 @@ def load_env_from_json() -> None:
         logging.error(f"Error loading config from {config_path}: {e}")
         raise
 
+
 # Load the environment variables from the json file.
 load_env_from_json()
 

tests/blackbox/src/common/config.py

@@ -42,23 +42,32 @@ def __init__(self) -> None:
         self.test_data_path = config("TEST_DATA_PATH", default="./data")
         self.namespace_scoped_test_data_path = f"{self.test_data_path}/namespace-scoped"
 
-        self.companion_api_url = config("COMPANION_API_URL", default="http://localhost:8000")
+        self.companion_api_url = config(
+            "COMPANION_API_URL", default="http://localhost:8000"
+        )
         self.companion_token = config("COMPANION_TOKEN", default="not-needed")
         self.test_cluster_url = config("TEST_CLUSTER_URL")
         self.test_cluster_ca_data = config("TEST_CLUSTER_CA_DATA")
         self.test_cluster_auth_token = config("TEST_CLUSTER_AUTH_TOKEN")
 
         self.model_name = config("MODEL_NAME", default="gpt-4o-mini")
         self.iterations = config("ITERATIONS", default=3, cast=int)
-        self.streaming_response_timeout = config("STREAMING_RESPONSE_TIMEOUT", default=600, cast=int) # seconds
+        self.streaming_response_timeout = config(
+            "STREAMING_RESPONSE_TIMEOUT", default=600, cast=int
+        )  # seconds
         self.max_workers = config("MAX_WORKERS", default=1, cast=int)
-        self.retry_wait_time = config("RETRY_WAIT_TIME", default=60, cast=int) # seconds
-        self.retry_max_wait_time = config("RETRY_MAX_WAIT_TIME", default=600, cast=int) # seconds
-
+        self.retry_wait_time = config(
+            "RETRY_WAIT_TIME", default=60, cast=int
+        )  # seconds
+        self.retry_max_wait_time = config(
+            "RETRY_MAX_WAIT_TIME", default=600, cast=int
+        )  # seconds
 
     def __load_env_from_json(self) -> None:
         """Load the configuration from the config.json file."""
-        default_config_path = Path(__file__).parent.parent.parent.parent.parent / "config" / "config.json"
+        default_config_path = (
+            Path(__file__).parent.parent.parent.parent.parent / "config" / "config.json"
+        )
         config_path = Path(os.getenv("CONFIG_PATH", default_config_path))
 
         try:
@@ -85,14 +94,12 @@ def __load_env_from_json(self) -> None:
             logging.error(f"Error loading config from {config_path}: {e}")
             raise
 
-
     def get_model_config(self, model_name: str) -> dict:
         for model in self.models:
             if model["name"] == model_name:
                 return model
 
         raise ValueError(f"Model {model_name} not found in the configuration.")
 
-
     def get_models(self) -> dict:
         return self.models

tests/blackbox/src/evaluation/validator/utils.py

@@ -10,6 +10,10 @@
 def create_validator(config: Config) -> IValidator:
     if config.model_name == AIModel.CHATGPT_4_O_MINI:
         model_config = config.get_model_config(config.model_name)
-        return ChatOpenAIValidator(model_config["name"], model_config["temperature"], model_config["deployment_id"])
+        return ChatOpenAIValidator(
+            model_config["name"],
+            model_config["temperature"],
+            model_config["deployment_id"],
+        )
 
     raise ValueError(f"Unsupported model name: {config.model_name}")

tests/blackbox/src/validation/utils/models.py

@@ -12,8 +12,9 @@
 
 proxy_client: BaseProxyClient | None = None
 
+
 def get_gen_ai_proxy_client() -> BaseProxyClient:
-    global proxy_client # noqa
+    global proxy_client  # noqa
     if proxy_client is None:
         proxy_client = get_proxy_client("gen-ai-hub")
     return proxy_client
@@ -39,7 +40,9 @@ class OpenAIModel(Model):
     def __init__(self, config: ModelConfig):
         self._name = config.name
         self.model = ChatOpenAI(
-            deployment_id=config.deployment_id, proxy_client=get_gen_ai_proxy_client(), temperature=0
+            deployment_id=config.deployment_id,
+            proxy_client=get_gen_ai_proxy_client(),
+            temperature=0,
         )
 
     def invoke(self, content: str) -> str: