diff --git a/backend.py b/backend.py
index a75e82c..d047b7a 100644
--- a/backend.py
+++ b/backend.py
@@ -14,9 +14,9 @@ from util.log_util import logger
 @asynccontextmanager
 async def lifespan(app : FastAPI):
     # logger.info(f'{AppConfig.app_name}开始启动，当前运行环境{os.environ.get('APP_ENV', '未读取到环境变量APP_ENV')}')
-    print(f'开始启动')
+    logger.info(f'开始启动')
     yield
-    print(f'关闭成功')
+    logger.info(f'关闭成功')
 
 app = FastAPI(title="RAG SQL Generator API", description="调用RAG生成SQL语句的后端服务", lifespan=lifespan)
 
diff --git a/middlewares/cors_middleware.py b/middlewares/cors_middleware.py
index 55508e7..9dbd4ed 100644
--- a/middlewares/cors_middleware.py
+++ b/middlewares/cors_middleware.py
@@ -10,15 +10,15 @@ def add_cors_middleware(app: FastAPI):
     :return:
     """
     # 前端页面url
-    origins = [
-        'http://localhost:80',
-        'http://127.0.0.1:80',
-    ]
+    # origins = [
+    #     'http://localhost:80',
+    #     'http://127.0.0.1:80',
+    # ]
 
     # 后台api允许跨域
     app.add_middleware(
         CORSMiddleware,
-        allow_origins=origins,
+        allow_origins=["*"],
         allow_credentials=True,
         allow_methods=['*'],
         allow_headers=['*'],
diff --git a/util/use_pgvector.py b/util/use_pgvector.py
index 836a418..9a95c2f 100644
--- a/util/use_pgvector.py
+++ b/util/use_pgvector.py
@@ -3,6 +3,7 @@ from psycopg2.extras import execute_values
 import numpy as np
 
 from env import PgvectorDataBaseConfig
+from util.log_util import logger
 
 # 数据库连接配置
 DB_CONFIG = {
@@ -18,10 +19,10 @@ def connect_to_db():
     """建立数据库连接"""
     try:
         conn = psycopg2.connect(**DB_CONFIG)
-        print("成功连接到数据库")
+        logger.info("成功连接到数据库")
         return conn
     except Exception as e:
-        print(f"连接数据库失败: {e}")
+        logger.error(f"连接数据库失败: {e}")
         return None
 
 
@@ -51,9 +52,9 @@ def setup_vector_extension(conn):
                         );
                         """)
             conn.commit()
-            print("成功设置向量扩展和表结构")
+            # print("成功设置向量扩展和表结构")
     except Exception as e:
-        print(f"设置数据库结构失败: {e}")
+        logger.error(f"设置数据库结构失败: {e}")
         conn.rollback()
 
 
@@ -68,9 +69,9 @@ def insert_vectors(conn, data):
                 data
             )
             conn.commit()
-            print(f"成功插入 {len(data)} 条向量数据")
+            logger.info(f"成功插入 {len(data)} 条向量数据")
     except Exception as e:
-        print(f"插入数据失败: {e}")
+        logger.error(f"插入数据失败: {e}")
         conn.rollback()
 
 
@@ -88,7 +89,7 @@ def search_similar_table(conn, query_vector, limit=5):
             results = cur.fetchall()
             return results
     except Exception as e:
-        print(f"搜索相似向量失败: {e}")
+        logger.error(f"搜索相似向量失败: {e}")
         return []
 
 def search_similar_case(conn, query_vector, limit=5):
@@ -105,7 +106,7 @@ def search_similar_case(conn, query_vector, limit=5):
             results = cur.fetchall()
             return results
     except Exception as e:
-        print(f"搜索相似向量失败: {e}")
+        logger.error(f"搜索相似向量失败: {e}")
         return []
 
 def main():
@@ -133,9 +134,9 @@ def main():
     query_vector = [1.0, 1.0, 1.0]
     similar_docs = search_similar_table(conn, query_vector)
 
-    print("\n相似文档搜索结果:")
+    logger.info("\n相似文档搜索结果:")
     for content, distance in similar_docs:
-        print(f"内容: {content}, 距离: {distance}")
+        logger.info(f"内容: {content}, 距离: {distance}")
 
     # 关闭连接
     conn.close()