style: ruff setting

Author: nonegom

evaluation/gen_persona.py

@@ -1,4 +1,3 @@
-import os
 
 from utils import save_persona_json, pretty_print_persona
 from persona_class import PersonaList

llm_utils/graph.py

@@ -1,9 +1,6 @@
-import os
 import json
 
-from typing_extensions import TypedDict, Annotated
 from langgraph.graph import END, StateGraph
-from langgraph.graph.message import add_messages
 from langchain.chains.sql_database.prompt import SQL_PROMPTS
 from pydantic import BaseModel, Field
 from .agent import manager_agent, manager_agent_edge

llm_utils/llm_factory.py

@@ -18,7 +18,6 @@
     AzureChatOpenAI,
     OpenAIEmbeddings,
 )
-from langchain_community.llms.bedrock import Bedrock
 
 # .env 파일 로딩
 load_dotenv()

llm_utils/retrieval.py

@@ -18,7 +18,7 @@ def get_vector_db():
             embeddings,
             allow_dangerous_deserialization=True,
         )
-    except:
+    except Exception:
         documents = get_info_from_db()
         db = FAISS.from_documents(documents, embeddings)
         db.save_local(os.getcwd() + "/table_info_db")

llm_utils/tools.py

@@ -1,5 +1,5 @@
 import os
-from typing import List, Dict, Optional, TypeVar, Callable, Iterable, Any
+from typing import List, Dict, Optional, TypeVar, Callable, Iterable
 
 from langchain.schema import Document
 
@@ -40,7 +40,7 @@ def parallel_process[T, R](
 def set_gms_server(gms_server: str):
     try:
         os.environ["DATAHUB_SERVER"] = gms_server
-        fetcher = DatahubMetadataFetcher(gms_server=gms_server)
+        DatahubMetadataFetcher(gms_server=gms_server)
     except ValueError as e:
         raise ValueError(f"GMS 서버 설정 실패: {str(e)}")