diff --git a/lightrag/api/lightrag_server.py b/lightrag/api/lightrag_server.py
index e1b24731..3bfa4943 100644
--- a/lightrag/api/lightrag_server.py
+++ b/lightrag/api/lightrag_server.py
@@ -13,18 +13,6 @@ from fastapi import (
 from typing import Dict
 import threading
 
-# Global progress tracker
-scan_progress: Dict = {
-    "is_scanning": False,
-    "current_file": "",
-    "indexed_count": 0,
-    "total_files": 0,
-    "progress": 0,
-}
-
-# Lock for thread-safe operations
-progress_lock = threading.Lock()
-
 import json
 import os
 
@@ -34,7 +22,7 @@ import logging
 import argparse
 import time
 import re
-from typing import List, Dict, Any, Optional, Union
+from typing import List, Any, Optional, Union
 from lightrag import LightRAG, QueryParam
 from lightrag.api import __api_version__
 
@@ -57,8 +45,21 @@ import pipmaster as pm
 
 from dotenv import load_dotenv
 
+# Load environment variables
 load_dotenv()
 
+# Global progress tracker
+scan_progress: Dict = {
+    "is_scanning": False,
+    "current_file": "",
+    "indexed_count": 0,
+    "total_files": 0,
+    "progress": 0,
+}
+
+# Lock for thread-safe operations
+progress_lock = threading.Lock()
+
 
 def estimate_tokens(text: str) -> int:
     """Estimate the number of tokens in text
diff --git a/lightrag/utils.py b/lightrag/utils.py
index 8ab052b6..4f06d718 100644
--- a/lightrag/utils.py
+++ b/lightrag/utils.py
@@ -463,7 +463,7 @@ def quantize_embedding(embedding: Union[np.ndarray, list], bits=8) -> tuple:
     # Convert list to numpy array if needed
     if isinstance(embedding, list):
         embedding = np.array(embedding)
-        
+
     # Calculate min/max values for reconstruction
     min_val = embedding.min()
     max_val = embedding.max()