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