dev新增短期记忆功能 (#47)

* dev新增短期记忆功能

* dev新增短期记忆功能

* dev新增短期记忆功能

* dev新增短期记忆功能

* dev新增短期记忆功能

* dev新增短期记忆功能

* dev新增短期记忆功能
This commit is contained in:
lixinyue11
2026-01-07 16:36:11 +08:00
committed by GitHub
parent 5fe8043ff8
commit bcb3d587a1
9 changed files with 765 additions and 45 deletions

View File

@@ -7,13 +7,20 @@ LangChain Agent 封装
- 支持流式输出
- 使用 RedBearLLM 支持多提供商
"""
import os
import time
from typing import Any, AsyncGenerator, Dict, List, Optional, Sequence
from app.db import get_db
from app.core.logging_config import get_business_logger
from app.core.memory.agent.utils.redis_tool import store
from app.core.models import RedBearLLM, RedBearModelConfig
from app.models.models_model import ModelType
from app.repositories.memory_short_repository import LongTermMemoryRepository
from app.services.memory_agent_service import (
get_end_user_connected_config,
)
from app.services.memory_konwledges_server import write_rag
from app.services.task_service import get_task_memory_write_result
from app.tasks import write_message_task
@@ -96,7 +103,8 @@ class LangChainAgent:
"temperature": temperature,
"streaming": streaming,
"tool_count": len(self.tools),
"tool_names": [tool.name for tool in self.tools] if self.tools else []
"tool_names": [tool.name for tool in self.tools] if self.tools else [],
"tool_count": len(self.tools)
}
)
@@ -137,11 +145,8 @@ class LangChainAgent:
messages.append(HumanMessage(content=user_content))
return messages
async def term_memory_save(self,messages,end_user_end,aimessages):
"""
短长期存储redis为不影响正常使用6句一段话存储用户名加一个前缀当数据存够6条返回给neo4j
"""
'''短长期存储redis为不影响正常使用6句一段话存储用户名加一个前缀当数据存够6条返回给neo4j'''
end_user_end=f"Term_{end_user_end}"
print(messages)
print(aimessages)
@@ -155,17 +160,18 @@ class LangChainAgent:
store.delete_duplicate_sessions()
# logger.info(f'Redis_Agent:{end_user_end};{session_id}')
return session_id
async def term_memory_redis_read(self,end_user_end):
end_user_end = f"Term_{end_user_end}"
history = store.find_user_apply_group(end_user_end, end_user_end, end_user_end)
# logger.info(f'Redis_Agent:{end_user_end};{history}')
messagss_list=[]
retrieved_content=[]
for messages in history:
query = messages.get("Query")
aimessages = messages.get("Answer")
messagss_list.append(f'用户:{query}。AI回复:{aimessages}')
return messagss_list
retrieved_content.append({query: aimessages})
return messagss_list,retrieved_content
async def write(self,storage_type,end_user_id,message,user_rag_memory_id,actual_end_user_id,content,actual_config_id):
@@ -205,7 +211,6 @@ class LangChainAgent:
# If config_id is None, try to get from end_user's connected config
if actual_config_id is None and end_user_id:
try:
from app.db import get_db
from app.services.memory_agent_service import (
get_end_user_connected_config,
)
@@ -223,11 +228,26 @@ class LangChainAgent:
logger.info(f'写入类型{storage_type,str(end_user_id), message, str(user_rag_memory_id)}')
print(f'写入类型{storage_type,str(end_user_id), message, str(user_rag_memory_id)}')
history_term_memory=await self.term_memory_redis_read(end_user_id)
history_term_memory_result = await self.term_memory_redis_read(end_user_id)
history_term_memory = history_term_memory_result[0]
db_for_memory = next(get_db())
if memory_flag:
if len(history_term_memory)>=4 and storage_type != "rag":
history_term_memory=';'.join(history_term_memory)
logger.info(f'写入短长期:{storage_type, str(end_user_id), history_term_memory, str(user_rag_memory_id)}')
history_term_memory = ';'.join(history_term_memory)
retrieved_content = history_term_memory_result[1]
print(retrieved_content)
# 为长期记忆操作获取新的数据库连接
try:
repo = LongTermMemoryRepository(db_for_memory)
repo.upsert(end_user_id, retrieved_content)
logger.info(
f'写入短长期:{storage_type, str(end_user_id), history_term_memory, str(user_rag_memory_id)}')
except Exception as e:
logger.error(f"Failed to write to LongTermMemory: {e}")
raise
finally:
db_for_memory.close()
await self.write(storage_type,end_user_id,history_term_memory,user_rag_memory_id,actual_end_user_id,history_term_memory,actual_config_id)
await self.write(storage_type,end_user_id,message,user_rag_memory_id,actual_end_user_id,message,actual_config_id)
try:
@@ -316,10 +336,6 @@ class LangChainAgent:
# If config_id is None, try to get from end_user's connected config
if actual_config_id is None and end_user_id:
try:
from app.db import get_db
from app.services.memory_agent_service import (
get_end_user_connected_config,
)
db = next(get_db())
try:
connected_config = get_end_user_connected_config(end_user_id, db)
@@ -331,14 +347,24 @@ class LangChainAgent:
except Exception as e:
logger.warning(f"Failed to get db session: {e}")
history_term_memory = await self.term_memory_redis_read(end_user_id)
history_term_memory_result = await self.term_memory_redis_read(end_user_id)
history_term_memory = history_term_memory_result[0]
if memory_flag:
if len(history_term_memory) >= 4 and storage_type != "rag":
history_term_memory = ';'.join(history_term_memory)
logger.info(
f'写入短长期:{storage_type, str(end_user_id), history_term_memory, str(user_rag_memory_id)}')
await self.write(storage_type, end_user_id, history_term_memory, user_rag_memory_id, end_user_id,
history_term_memory, actual_config_id)
retrieved_content = history_term_memory_result[1]
db_for_memory = next(get_db())
try:
repo = LongTermMemoryRepository(db_for_memory)
repo.upsert(end_user_id, retrieved_content)
logger.info(
f'写入短长期:{storage_type, str(end_user_id), history_term_memory, str(user_rag_memory_id)}')
await self.write(storage_type, end_user_id, history_term_memory, user_rag_memory_id, end_user_id,
history_term_memory, actual_config_id)
except Exception as e:
logger.error(f"Failed to write to long term memory: {e}")
finally:
db_for_memory.close()
await self.write(storage_type, end_user_id, message, user_rag_memory_id, end_user_id, message, actual_config_id)
try: