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✨ 记忆系统:定时记忆整理 (#31)
* ✨ 添加记忆系统 * 🎨 black优化格式 * 🐛 删除apscheduler * ✨ 将记忆插件转换为插件形式 * 🐛 修复函数调用问题 * ✨ 记忆系统:定时记忆整理 * 🎨 pre-commit 检查
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@ -407,7 +407,7 @@ async def marsho(
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) # 获取返回值
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else:
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if caller := get_function_calls().get(
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tool_call.function.name.replace("-", ".")
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tool_call.function.name
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):
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logger.debug(f"调用插件函数 {caller.full_name}")
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# 权限检查,规则检查 TODO
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@ -142,7 +142,7 @@ class Caller:
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module_name = ""
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self.module_name = module_name
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_caller_data[self.full_name] = self
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_caller_data[self.aifc_name] = self
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logger.opt(colors=True).debug(
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f"<y>加载函数 {self.full_name}: {self._description}</y>"
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)
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@ -1,14 +1,19 @@
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import json
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from pathlib import Path
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from nonebot import require
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from nonebot_plugin_localstore import get_plugin_data_file # type: ignore
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from azure.ai.inference.models import UserMessage
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from nonebot import get_driver, logger, require
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from nonebot_plugin_localstore import get_plugin_data_file
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from nonebot_plugin_marshoai.plugin import ( # type: ignore
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PluginMetadata,
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on_function_call,
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)
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from nonebot_plugin_marshoai.plugin.func_call.params import String # type: ignore
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require("nonebot_plugin_apscheduler")
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require("nonebot_plugin_marshoai")
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from nonebot_plugin_apscheduler import scheduler
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from nonebot_plugin_marshoai.azure import client
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from nonebot_plugin_marshoai.plugin import PluginMetadata, on_function_call
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from nonebot_plugin_marshoai.plugin.func_call.params import String
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from .config import plugin_config
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__marsho_meta__ = PluginMetadata(
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name="记忆保存",
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@ -21,6 +26,7 @@ if not Path(memory_path).exists():
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with open(memory_path, "w", encoding="utf-8") as f:
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json.dump({}, f, ensure_ascii=False, indent=4)
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# print(memory_path)
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driver = get_driver()
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@on_function_call(
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@ -45,7 +51,7 @@ async def write_memory(memory: str, user_id: str):
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@on_function_call(
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description="当用户与你发起对话时,你需要回忆有关他的一切,因此调用此函数读取记忆内容"
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description="你需要回忆有关用户的一些知识时,调用此函数读取记忆内容,当用户问问题的时候也尽量调用此函数参考"
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).params(user_id=String(description="你想读取记忆的人的id"))
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async def read_memory(user_id: str):
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with open(memory_path, "r", encoding="utf-8") as f:
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@ -61,5 +67,30 @@ async def organize_memories():
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with open(memory_path, "r", encoding="utf-8") as f:
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memory_data = json.load(f)
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for i in memory_data:
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...
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# TODO 用大模型对记忆进行整理
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memory_data_ = "\n".join(memory_data[i])
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msg = f"这是一些大模型记忆信息,请你保留重要内容,尽量减少无用的记忆后重新输出记忆内容,浓缩为一行:\n{memory_data_}"
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res = await client.complete(UserMessage(content=msg))
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try:
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memory = res.choices[0].message.content # type: ignore
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memory_data[i] = memory
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except AttributeError:
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logger.error(f"整理关于{i}的记忆时出错:{res}")
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with open(memory_path, "w", encoding="utf-8") as f:
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json.dump(memory_data, f, ensure_ascii=False, indent=4)
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if plugin_config.marshoai_plugin_memory_scheduler:
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@driver.on_startup
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async def _():
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logger.info("小绵定时记忆整理已启动!")
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scheduler.add_job(
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organize_memories,
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"cron",
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hour="0",
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minute="0",
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second="0",
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day="*",
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id="organize_memories",
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)
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@ -0,0 +1,9 @@
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from nonebot import get_plugin_config, logger
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from pydantic import BaseModel
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class ConfigModel(BaseModel):
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marshoai_plugin_memory_scheduler: bool = True
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plugin_config: ConfigModel = get_plugin_config(ConfigModel)
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@ -26,7 +26,8 @@ dependencies = [
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"aiofiles>=24.1.0",
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"sumy>=0.11.0",
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"azure-ai-inference>=1.0.0b6",
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"watchdog>=6.0.0"
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"watchdog>=6.0.0",
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"nonebot-plugin-apscheduler>=0.5.0"
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]
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license = { text = "MIT, Mulan PSL v2" }
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