77 lines
2.4 KiB
Python
77 lines
2.4 KiB
Python
"""
|
|
记忆检索节点模块
|
|
负责从 Mem0 检索相关长期记忆
|
|
"""
|
|
|
|
from typing import Any, Dict
|
|
|
|
# 本地模块
|
|
from .state import MessagesState
|
|
from ..memory.mem0_client import Mem0Client
|
|
from ..utils.logging import log_state_change
|
|
from ..logger import debug
|
|
|
|
def create_retrieve_memory_node(mem0_client: Mem0Client):
|
|
"""
|
|
工厂函数：创建记忆检索节点
|
|
|
|
Args:
|
|
mem0_client: Mem0 客户端实例
|
|
|
|
Returns:
|
|
异步节点函数
|
|
"""
|
|
|
|
from langchain_core.runnables.config import RunnableConfig
|
|
|
|
async def retrieve_memory(state: MessagesState, config: RunnableConfig) -> Dict[str, Any]:
|
|
"""
|
|
记忆检索节点 - 使用 Mem0
|
|
|
|
Args:
|
|
state: 当前对话状态
|
|
config: 运行时配置
|
|
|
|
Returns:
|
|
包含 memory_context 的状态更新
|
|
"""
|
|
log_state_change("retrieve_memory", state, "进入")
|
|
|
|
# 从 metadata 中获取 user_id
|
|
user_id = config.get("metadata", {}).get("user_id", "default_user")
|
|
|
|
# 兼容 dict 和对象两种消息格式
|
|
last_msg = state["messages"][-1]
|
|
if isinstance(last_msg, dict):
|
|
query = str(last_msg.get("content", ""))
|
|
else:
|
|
query = str(last_msg.content)
|
|
memory_text_parts = []
|
|
|
|
# 确保 Mem0 已初始化（懒加载）
|
|
if not mem0_client._initialized:
|
|
await mem0_client.initialize()
|
|
|
|
if mem0_client.mem0:
|
|
try:
|
|
# 异步调用 Mem0 语义检索
|
|
facts = await mem0_client.search_memories(query, user_id=user_id, limit=5)
|
|
|
|
if facts:
|
|
memory_text_parts.append(f"【相关长期记忆】\n" + "\n".join(f"- {f}" for f in facts))
|
|
else:
|
|
debug("🔍 [记忆检索] 未找到相关记忆")
|
|
except Exception as e:
|
|
from app.logger import warning
|
|
warning(f"⚠️ Mem0 检索失败: {e}")
|
|
else:
|
|
from app.logger import warning
|
|
warning("⚠️ Mem0 未初始化，跳过记忆检索")
|
|
|
|
memory_context = "\n\n".join(memory_text_parts) if memory_text_parts else "暂无用户信息"
|
|
result = {"memory_context": memory_context}
|
|
log_state_change("retrieve_memory", {**state, **result}, "离开")
|
|
return result
|
|
|
|
return retrieve_memory
|