collection.add(documents=["这是公司2023年上半年的公开财报。财报中针对..."],              metadatas =[{"auth_level": 1, "category": "公司财报", "department": "IR", "role":"all", "year": "2023"}],              ids="id1")
collection.add(documents=["2023年饮料事业部内部经营分析报告，针对事业部在2023年的经营策略..."],              metadatas =[{"auth_level": 2, "category": "经营分析报告", "department": "饮料事业部", "role":"bev|ir|IT|sec", "year": "2023"}],              ids="id2")
collection.add(documents=["机密:公司未来一年的重点投资方向和投资策略..."],              metadatas =[{"auth_level": 3, "category": "投资策略", "department": "投资部", "role":"hqhead|boardsmembers", "year": "2024"}],              ids="id3")

def vector_search_with_rbac(query_text, user_auth_level):   if not isinstance(user_auth_level, int) or user_auth_level < 0:       raise ValueError("Invalid user_auth_level. Must be a non-negative integer.")
   try:       results = collection.query(query_texts=[query_text],n_results=10, where={"auth_level": user_auth_level})       return results   except Exception as e:       print(f"An error occurred: {e}")       return []