diff --git a/.gitignore b/.gitignore
index 4e1606a5..e51abc5c 100644
--- a/.gitignore
+++ b/.gitignore
@@ -193,9 +193,8 @@ cython_debug/
# jieba
jieba.cache
-
-# vscode
-/.vscode
+# .vscode
+!.vscode/settings.json
# direnv
/.direnv
\ No newline at end of file
diff --git a/.vscode/settings.json b/.vscode/settings.json
new file mode 100644
index 00000000..23fd35f0
--- /dev/null
+++ b/.vscode/settings.json
@@ -0,0 +1,3 @@
+{
+ "editor.formatOnSave": true
+}
\ No newline at end of file
diff --git a/README.md b/README.md
index 5ae9c5f2..f919e890 100644
--- a/README.md
+++ b/README.md
@@ -29,16 +29,17 @@
-> ⚠️ **注意事项**
+> [!WARNING]
> - 项目处于活跃开发阶段,代码可能随时更改
> - 文档未完善,有问题可以提交 Issue 或者 Discussion
> - QQ机器人存在被限制风险,请自行了解,谨慎使用
> - 由于持续迭代,可能存在一些已知或未知的bug
> - 由于开发中,可能消耗较多token
-**交流群**: 766798517 一群人较多,建议加下面的(开发和建议相关讨论)不一定有空回复,会优先写文档和代码
-**交流群**: 571780722 另一个群(开发和建议相关讨论)不一定有空回复,会优先写文档和代码
-**交流群**: 1035228475 另一个群(开发和建议相关讨论)不一定有空回复,会优先写文档和代码
+## 💬交流群
+- [一群](https://qm.qq.com/q/VQ3XZrWgMs) 766798517 ,建议加下面的(开发和建议相关讨论)不一定有空回复,会优先写文档和代码
+- [二群](https://qm.qq.com/q/RzmCiRtHEW) 571780722 (开发和建议相关讨论)不一定有空回复,会优先写文档和代码
+- [三群](https://qm.qq.com/q/wlH5eT8OmQ) 1035228475(开发和建议相关讨论)不一定有空回复,会优先写文档和代码
**其他平台版本**
@@ -51,7 +52,7 @@
### 部署方式
-- 📦 **Windows 一键傻瓜式部署**:请运行项目根目录中的 ```run.bat```,部署完成后请参照后续配置指南进行配置
+- 📦 **Windows 一键傻瓜式部署**:请运行项目根目录中的 `run.bat`,部署完成后请参照后续配置指南进行配置
- [📦 Windows 手动部署指南 ](docs/manual_deploy_windows.md)
@@ -139,9 +140,10 @@
## 📌 注意事项
-SengokuCola已得到大脑升级
-> ⚠️ **警告**:本应用生成内容来自人工智能模型,由 AI 生成,请仔细甄别,请勿用于违反法律的用途,AI生成内容不代表本人观点和立场。
+SengokuCola~~纯编程外行,面向cursor编程,很多代码写得不好多多包涵~~已得到大脑升级
+> [!WARNING]
+> 本应用生成内容来自人工智能模型,由 AI 生成,请仔细甄别,请勿用于违反法律的用途,AI生成内容不代表本人观点和立场。
## 致谢
[nonebot2](https://github.com/nonebot/nonebot2): 跨平台 Python 异步聊天机器人框架
diff --git a/bot.py b/bot.py
index f23b1dc7..b41398c8 100644
--- a/bot.py
+++ b/bot.py
@@ -1,20 +1,23 @@
+import asyncio
import os
import shutil
import sys
import nonebot
import time
+
+import uvicorn
from dotenv import load_dotenv
from loguru import logger
from nonebot.adapters.onebot.v11 import Adapter
import platform
-from src.common.output_manager import OutputManager
+from src.common.output_manager import output_manager
# 获取没有加载env时的环境变量
env_mask = {key: os.getenv(key) for key in os.environ}
-# 初始化输出管理器
-output_manager = OutputManager()
+# 初始化输出管理器和uvicorn服务器
+uvicorn_server = None
def easter_egg():
@@ -120,7 +123,8 @@ def load_logger():
"#777777>|> {name:.<8}:{function:.<8}:{line: >4} -> {message}",
colorize=True,
- level=os.getenv("LOG_LEVEL", "DEBUG"), # 根据环境设置日志级别,默认为INFO
+ level=os.getenv("LOG_LEVEL", "INFO"), # 根据环境设置日志级别,默认为INFO
+ filter=lambda record: "nonebot" not in record["name"],
)
@@ -157,7 +161,39 @@ def scan_provider(env_config: dict):
)
-if __name__ == "__main__":
+async def graceful_shutdown():
+ try:
+ global uvicorn_server
+ if uvicorn_server:
+ uvicorn_server.force_exit = True # 强制退出
+ await uvicorn_server.shutdown()
+
+ tasks = [t for t in asyncio.all_tasks() if t is not asyncio.current_task()]
+ for task in tasks:
+ task.cancel()
+ await asyncio.gather(*tasks, return_exceptions=True)
+
+ except Exception as e:
+ logger.error(f"麦麦关闭失败: {e}")
+
+
+async def uvicorn_main():
+ global uvicorn_server
+ config = uvicorn.Config(
+ app="__main__:app",
+ host=os.getenv("HOST", "127.0.0.1"),
+ port=int(os.getenv("PORT", 8080)),
+ reload=os.getenv("ENVIRONMENT") == "dev",
+ timeout_graceful_shutdown=5,
+ log_config=None,
+ access_log=False,
+ )
+ server = uvicorn.Server(config)
+ uvicorn_server = server
+ await server.serve()
+
+
+def raw_main():
# 利用 TZ 环境变量设定程序工作的时区
# 仅保证行为一致,不依赖 localtime(),实际对生产环境几乎没有作用
if platform.system().lower() != "windows":
@@ -190,6 +226,7 @@ if __name__ == "__main__":
nonebot.init(**base_config, **env_config)
# 注册适配器
+ global driver
driver = nonebot.get_driver()
driver.register_adapter(Adapter)
@@ -206,7 +243,27 @@ if __name__ == "__main__":
atexit.register(cleanup)
# 启动
- nonebot.run()
+
+
+if __name__ == "__main__":
+
+ try:
+ raw_main()
+
+ global app
+ app = nonebot.get_asgi()
+
+ loop = asyncio.new_event_loop()
+ asyncio.set_event_loop(loop)
+ loop.run_until_complete(uvicorn_main())
+ except KeyboardInterrupt:
+ logger.warning("麦麦会努力做的更好的!正在停止中......")
+ except Exception as e:
+ logger.error(f"主程序异常: {e}")
+ finally:
+ loop.run_until_complete(graceful_shutdown())
+ loop.close()
+ logger.info("进程终止完毕,麦麦开始休眠......下次再见哦!")
if __name__ == "__main__":
diff --git a/changelog_config.md b/changelog_config.md
index 7101fe82..c4c56064 100644
--- a/changelog_config.md
+++ b/changelog_config.md
@@ -1,6 +1,12 @@
# Changelog
+## [0.0.5] - 2025-3-11
+### Added
+- 新增了 `alias_names` 配置项,用于指定麦麦的别名。
+
## [0.0.4] - 2025-3-9
### Added
- 新增了 `memory_ban_words` 配置项,用于指定不希望记忆的词汇。
+
+
diff --git a/docker-compose.yml b/docker-compose.yml
index 51255855..227df606 100644
--- a/docker-compose.yml
+++ b/docker-compose.yml
@@ -6,8 +6,6 @@ services:
- NAPCAT_UID=${NAPCAT_UID}
- NAPCAT_GID=${NAPCAT_GID} # 让 NapCat 获取当前用户 GID,UID,防止权限问题
ports:
- - 3000:3000
- - 3001:3001
- 6099:6099
restart: unless-stopped
volumes:
@@ -19,7 +17,7 @@ services:
mongodb:
container_name: mongodb
environment:
- - tz=Asia/Shanghai
+ - TZ=Asia/Shanghai
# - MONGO_INITDB_ROOT_USERNAME=your_username
# - MONGO_INITDB_ROOT_PASSWORD=your_password
expose:
diff --git a/docs/docker_deploy.md b/docs/docker_deploy.md
index 3958d2fc..db759dfd 100644
--- a/docs/docker_deploy.md
+++ b/docs/docker_deploy.md
@@ -1,67 +1,97 @@
# 🐳 Docker 部署指南
-## 部署步骤(推荐,但不一定是最新)
+## 部署步骤 (推荐,但不一定是最新)
+
+**"更新镜像与容器"部分在本文档 [Part 6](#6-更新镜像与容器)**
+
+### 0. 前提说明
+
+**本文假设读者已具备一定的 Docker 基础知识。若您对 Docker 不熟悉,建议先参考相关教程或文档进行学习,或选择使用 [📦Linux手动部署指南](./manual_deploy_linux.md) 或 [📦Windows手动部署指南](./manual_deploy_windows.md) 。**
-### 1. 获取Docker配置文件:
+### 1. 获取Docker配置文件
+
+- 建议先单独创建好一个文件夹并进入,作为工作目录
```bash
wget https://raw.githubusercontent.com/SengokuCola/MaiMBot/main/docker-compose.yml -O docker-compose.yml
```
-- 若需要启用MongoDB数据库的用户名和密码,可进入docker-compose.yml,取消MongoDB处的注释并修改变量`=`后方的值为你的用户名和密码\
-修改后请注意在之后配置`.env.prod`文件时指定MongoDB数据库的用户名密码
+- 若需要启用MongoDB数据库的用户名和密码,可进入docker-compose.yml,取消MongoDB处的注释并修改变量旁 `=` 后方的值为你的用户名和密码\
+修改后请注意在之后配置 `.env.prod` 文件时指定MongoDB数据库的用户名密码
-### 2. 启动服务:
+### 2. 启动服务
-- **!!! 请在第一次启动前确保当前工作目录下`.env.prod`与`bot_config.toml`文件存在 !!!**\
+- **!!! 请在第一次启动前确保当前工作目录下 `.env.prod` 与 `bot_config.toml` 文件存在 !!!**\
由于Docker文件映射行为的特殊性,若宿主机的映射路径不存在,可能导致意外的目录创建,而不会创建文件,由于此处需要文件映射到文件,需提前确保文件存在且路径正确,可使用如下命令:
+
```bash
touch .env.prod
touch bot_config.toml
```
- 启动Docker容器:
+
```bash
NAPCAT_UID=$(id -u) NAPCAT_GID=$(id -g) docker compose up -d
+# 旧版Docker中可能找不到docker compose,请使用docker-compose工具替代
+NAPCAT_UID=$(id -u) NAPCAT_GID=$(id -g) docker-compose up -d
```
-- 旧版Docker中可能找不到docker compose,请使用docker-compose工具替代
+### 3. 修改配置并重启Docker
-### 3. 修改配置并重启Docker:
-
-- 请前往 [🎀 新手配置指南](docs/installation_cute.md) 或 [⚙️ 标准配置指南](docs/installation_standard.md) 完成`.env.prod`与`bot_config.toml`配置文件的编写\
-**需要注意`.env.prod`中HOST处IP的填写,Docker中部署和系统中直接安装的配置会有所不同**
+- 请前往 [🎀新手配置指南](./installation_cute.md) 或 [⚙️标准配置指南](./installation_standard.md) 完成 `.env.prod` 与 `bot_config.toml` 配置文件的编写\
+**需要注意 `.env.prod` 中HOST处IP的填写,Docker中部署和系统中直接安装的配置会有所不同**
- 重启Docker容器:
+
```bash
-docker restart maimbot # 若修改过容器名称则替换maimbot为你自定的名臣
+docker restart maimbot # 若修改过容器名称则替换maimbot为你自定的名称
```
- 下方命令可以但不推荐,只是同时重启NapCat、MongoDB、MaiMBot三个服务
+
```bash
NAPCAT_UID=$(id -u) NAPCAT_GID=$(id -g) docker compose restart
+# 旧版Docker中可能找不到docker compose,请使用docker-compose工具替代
+NAPCAT_UID=$(id -u) NAPCAT_GID=$(id -g) docker-compose restart
```
-- 旧版Docker中可能找不到docker compose,请使用docker-compose工具替代
-
### 4. 登入NapCat管理页添加反向WebSocket
-- 在浏览器地址栏输入`http://<宿主机IP>:6099/`进入NapCat的管理Web页,添加一个Websocket客户端
+- 在浏览器地址栏输入 `http://<宿主机IP>:6099/` 进入NapCat的管理Web页,添加一个Websocket客户端
+
> 网络配置 -> 新建 -> Websocket客户端
-- Websocket客户端的名称自定,URL栏填入`ws://maimbot:8080/onebot/v11/ws`,启用并保存即可\
+- Websocket客户端的名称自定,URL栏填入 `ws://maimbot:8080/onebot/v11/ws`,启用并保存即可\
(若修改过容器名称则替换maimbot为你自定的名称)
-### 5. 愉快地和麦麦对话吧!
+### 5. 部署完成,愉快地和麦麦对话吧!
+
+
+### 6. 更新镜像与容器
+
+- 拉取最新镜像
+
+```bash
+docker-compose pull
+```
+
+- 执行启动容器指令,该指令会自动重建镜像有更新的容器并启动
+
+```bash
+NAPCAT_UID=$(id -u) NAPCAT_GID=$(id -g) docker compose up -d
+# 旧版Docker中可能找不到docker compose,请使用docker-compose工具替代
+NAPCAT_UID=$(id -u) NAPCAT_GID=$(id -g) docker-compose up -d
+```
## ⚠️ 注意事项
- 目前部署方案仍在测试中,可能存在未知问题
- 配置文件中的API密钥请妥善保管,不要泄露
-- 建议先在测试环境中运行,确认无误后再部署到生产环境
\ No newline at end of file
+- 建议先在测试环境中运行,确认无误后再部署到生产环境
\ No newline at end of file
diff --git a/docs/installation_cute.md b/docs/installation_cute.md
index 3a63988f..4465660f 100644
--- a/docs/installation_cute.md
+++ b/docs/installation_cute.md
@@ -110,7 +110,8 @@ PLUGINS=["src2.plugins.chat"] # 这里是机器人的插件列表呢
```toml
[bot]
qq = "把这里改成你的机器人QQ号喵" # 填写你的机器人QQ号
-nickname = "麦麦" # 机器人的名字,你可以改成你喜欢的任何名字哦
+nickname = "麦麦" # 机器人的名字,你可以改成你喜欢的任何名字哦,建议和机器人QQ名称/群昵称一样哦
+alias_names = ["小麦", "阿麦"] # 也可以用这个招呼机器人,可以不设置呢
[personality]
# 这里可以设置机器人的性格呢,让它更有趣一些喵
diff --git a/docs/installation_standard.md b/docs/installation_standard.md
index cf8e7eb9..03b66dc4 100644
--- a/docs/installation_standard.md
+++ b/docs/installation_standard.md
@@ -8,7 +8,7 @@
## API配置说明
-`.env.prod`和`bot_config.toml`中的API配置关系如下:
+`.env.prod` 和 `bot_config.toml` 中的API配置关系如下:
### 在.env.prod中定义API凭证:
```ini
@@ -72,6 +72,9 @@ PLUGINS=["src2.plugins.chat"]
[bot]
qq = "机器人QQ号" # 必填
nickname = "麦麦" # 机器人昵称
+# alias_names: 配置机器人可使用的别名。当机器人在群聊或对话中被调用时,别名可以作为直接命令或提及机器人的关键字使用。
+# 该配置项为字符串数组。例如: ["小麦", "阿麦"]
+alias_names = ["小麦", "阿麦"] # 机器人别名
[personality]
prompt_personality = [
diff --git a/docs/manual_deploy_linux.md b/docs/manual_deploy_linux.md
index d310ffc5..41f0390b 100644
--- a/docs/manual_deploy_linux.md
+++ b/docs/manual_deploy_linux.md
@@ -66,7 +66,7 @@ pip install -r requirements.txt
## 数据库配置
### 3️⃣ **安装并启动MongoDB**
-- 安装与启动:Debian参考[官方文档](https://docs.mongodb.com/manual/tutorial/install-mongodb-on-debian/),Ubuntu参考[官方文档](https://docs.mongodb.com/manual/tutorial/install-mongodb-on-ubuntu/)
+- 安装与启动: Debian参考[官方文档](https://docs.mongodb.com/manual/tutorial/install-mongodb-on-debian/),Ubuntu参考[官方文档](https://docs.mongodb.com/manual/tutorial/install-mongodb-on-ubuntu/)
- 默认连接本地27017端口
---
@@ -76,15 +76,14 @@ pip install -r requirements.txt
- 参考[NapCat官方文档](https://www.napcat.wiki/guide/boot/Shell#napcat-installer-linux%E4%B8%80%E9%94%AE%E4%BD%BF%E7%94%A8%E8%84%9A%E6%9C%AC-%E6%94%AF%E6%8C%81ubuntu-20-debian-10-centos9)安装
-- 使用QQ小号登录,添加反向WS地址:
-`ws://127.0.0.1:8080/onebot/v11/ws`
+- 使用QQ小号登录,添加反向WS地址: `ws://127.0.0.1:8080/onebot/v11/ws`
---
## 配置文件设置
### 5️⃣ **配置文件设置,让麦麦Bot正常工作**
-- 修改环境配置文件:`.env.prod`
-- 修改机器人配置文件:`bot_config.toml`
+- 修改环境配置文件: `.env.prod`
+- 修改机器人配置文件: `bot_config.toml`
---
@@ -107,9 +106,9 @@ python3 bot.py
---
## 常见问题
-🔧 权限问题:在命令前加`sudo`
-🔌 端口占用:使用`sudo lsof -i :8080`查看端口占用
-🛡️ 防火墙:确保8080/27017端口开放
+🔧 权限问题: 在命令前加 `sudo`
+🔌 端口占用: 使用 `sudo lsof -i :8080` 查看端口占用
+🛡️ 防火墙: 确保8080/27017端口开放
```bash
sudo ufw allow 8080/tcp
sudo ufw allow 27017/tcp
diff --git a/docs/manual_deploy_windows.md b/docs/manual_deploy_windows.md
index 86238bcd..eebdc4f4 100644
--- a/docs/manual_deploy_windows.md
+++ b/docs/manual_deploy_windows.md
@@ -30,7 +30,7 @@
在创建虚拟环境之前,请确保你的电脑上安装了Python 3.9及以上版本。如果没有,可以按以下步骤安装:
-1. 访问Python官网下载页面:https://www.python.org/downloads/release/python-3913/
+1. 访问Python官网下载页面: https://www.python.org/downloads/release/python-3913/
2. 下载Windows安装程序 (64-bit): `python-3.9.13-amd64.exe`
3. 运行安装程序,并确保勾选"Add Python 3.9 to PATH"选项
4. 点击"Install Now"开始安装
@@ -79,11 +79,11 @@ pip install -r requirements.txt
### 3️⃣ **配置NapCat,让麦麦bot与qq取得联系**
- 安装并登录NapCat(用你的qq小号)
-- 添加反向WS:`ws://127.0.0.1:8080/onebot/v11/ws`
+- 添加反向WS: `ws://127.0.0.1:8080/onebot/v11/ws`
### 4️⃣ **配置文件设置,让麦麦Bot正常工作**
-- 修改环境配置文件:`.env.prod`
-- 修改机器人配置文件:`bot_config.toml`
+- 修改环境配置文件: `.env.prod`
+- 修改机器人配置文件: `bot_config.toml`
### 5️⃣ **启动麦麦机器人**
- 打开命令行,cd到对应路径
diff --git a/flake.nix b/flake.nix
index 54737d64..3586857f 100644
--- a/flake.nix
+++ b/flake.nix
@@ -22,6 +22,7 @@
pythonEnv = pkgs.python3.withPackages (
ps: with ps; [
+ ruff
pymongo
python-dotenv
pydantic
diff --git a/pyproject.toml b/pyproject.toml
index e54dcdac..0a480574 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,23 +1,51 @@
[project]
-name = "Megbot"
+name = "MaiMaiBot"
version = "0.1.0"
-description = "New Bot Project"
+description = "MaiMaiBot"
[tool.nonebot]
plugins = ["src.plugins.chat"]
-plugin_dirs = ["src/plugins"]
+plugin_dirs = ["src/plugins"]
[tool.ruff]
-# 设置 Python 版本
-target-version = "py39"
+
+include = ["*.py"]
+
+# 行长度设置
+line-length = 120
+
+[tool.ruff.lint]
+fixable = ["ALL"]
+unfixable = []
+
+# 如果一个变量的名称以下划线开头,即使它未被使用,也不应该被视为错误或警告。
+dummy-variable-rgx = "^(_+|(_+[a-zA-Z0-9_]*[a-zA-Z0-9]+?))$"
# 启用的规则
select = [
- "E", # pycodestyle 错误
- "F", # pyflakes
- "I", # isort
- "B", # flake8-bugbear
+ "E", # pycodestyle 错误
+ "F", # pyflakes
+ "B", # flake8-bugbear
]
-# 行长度设置
-line-length = 88
\ No newline at end of file
+ignore = ["E711"]
+
+[tool.ruff.format]
+docstring-code-format = true
+indent-style = "space"
+
+
+# 使用双引号表示字符串
+quote-style = "double"
+
+# 尊重魔法尾随逗号
+# 例如:
+# items = [
+# "apple",
+# "banana",
+# "cherry",
+# ]
+skip-magic-trailing-comma = false
+
+# 自动检测合适的换行符
+line-ending = "auto"
diff --git a/requirements.txt b/requirements.txt
index d769712d..a14bbf0e 100644
Binary files a/requirements.txt and b/requirements.txt differ
diff --git a/src/common/output_manager.py b/src/common/output_manager.py
index 0b91b154..136999dd 100644
--- a/src/common/output_manager.py
+++ b/src/common/output_manager.py
@@ -7,8 +7,8 @@ import websockets
from io import StringIO
from datetime import datetime
from typing import Dict, List, Any, Optional, Set, Callable
-import logging
from loguru import logger
+import os
class OutputCapture:
@@ -45,9 +45,10 @@ class OutputCapture:
class WebSocketServer:
"""WebSocket服务器,用于将捕获的输出发送到前端"""
- def __init__(self, host: str = "localhost", port: int = 8765):
- self.host = host
- self.port = port
+ def __init__(self, host: str = None, port: int = None):
+ # 从环境变量或配置获取主机和端口
+ self.host = host or os.getenv("WEBSOCKET_HOST", "localhost")
+ self.port = port or int(os.getenv("WEBSOCKET_PORT", "8765"))
self.server = None
self.clients: Set[websockets.WebSocketServerProtocol] = set()
self.running = False
@@ -68,7 +69,7 @@ class WebSocketServer:
)
# 发送历史记录
- history = OutputManager().get_message_history()
+ history = output_manager.get_message_history()
await websocket.send(
json.dumps(
{
@@ -93,7 +94,9 @@ class WebSocketServer:
return
message_json = json.dumps(message)
- await asyncio.gather(*[client.send(message_json) for client in self.clients])
+ tasks = [client.send(message_json) for client in self.clients]
+ if tasks:
+ await asyncio.gather(*tasks)
def start(self):
"""启动WebSocket服务器"""
@@ -134,30 +137,25 @@ class WebSocketServer:
logger.info("WebSocket服务器已停止")
+# 使用threading.Lock进行初始化保护
+_output_manager_lock = threading.Lock()
+_output_manager_initialized = False
+
+
class OutputManager:
"""单例模式的输出管理器"""
- _instance = None
- _lock = threading.Lock()
-
- def __new__(cls):
- with cls._lock:
- if cls._instance is None:
- cls._instance = super(OutputManager, cls).__new__(cls)
- cls._instance._initialized = False
- return cls._instance
-
def __init__(self):
- if self._initialized:
- return
-
- # 初始化属性
- self.stdout_capture = None
- self.stderr_capture = None
- self.websocket_server = WebSocketServer()
- self.message_history: List[Dict[str, Any]] = []
- self.max_history_size = 1000 # 最大历史记录数量
- self._initialized = True
+ global _output_manager_initialized
+ with _output_manager_lock:
+ if not _output_manager_initialized:
+ # 初始化属性
+ self.stdout_capture = None
+ self.stderr_capture = None
+ self.websocket_server = WebSocketServer()
+ self.message_history: List[Dict[str, Any]] = []
+ self.max_history_size = 1000 # 最大历史记录数量
+ _output_manager_initialized = True
def start_capture(self):
"""开始捕获标准输出和错误输出"""
@@ -249,6 +247,10 @@ class OutputManager:
)
+# 创建全局单例实例
+output_manager = OutputManager()
+
+
# 示例用法
if __name__ == "__main__":
# 启动输出管理器
diff --git a/src/gui/reasoning_gui.py b/src/gui/reasoning_gui.py
index 514a95df..5768ddc0 100644
--- a/src/gui/reasoning_gui.py
+++ b/src/gui/reasoning_gui.py
@@ -87,7 +87,7 @@ class ReasoningGUI:
self.db = Database.get_instance().db
logger.success("数据库初始化成功")
except Exception:
- logger.exception(f"数据库初始化失败")
+ logger.exception("数据库初始化失败")
sys.exit(1)
# 存储群组数据
@@ -342,7 +342,7 @@ class ReasoningGUI:
'group_id': self.selected_group_id
})
except Exception:
- logger.exception(f"自动更新出错")
+ logger.exception("自动更新出错")
# 每5秒更新一次
time.sleep(5)
diff --git a/src/plugins/chat/bot.py b/src/plugins/chat/bot.py
index c510fe4b..490b171b 100644
--- a/src/plugins/chat/bot.py
+++ b/src/plugins/chat/bot.py
@@ -1,3 +1,4 @@
+import re
import time
from random import random
@@ -75,6 +76,14 @@ class ChatBot:
logger.info(f"[过滤词识别]消息中含有{word},filtered")
return
+ # 正则表达式过滤
+ for pattern in global_config.ban_msgs_regex:
+ if re.search(pattern, message.raw_message):
+ logger.info(
+ f"[{message.group_name}]{message.user_nickname}:{message.raw_message}")
+ logger.info(f"[正则表达式过滤]消息匹配到{pattern},filtered")
+ return
+
current_time = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime(message.time))
# topic=await topic_identifier.identify_topic_llm(message.processed_plain_text)
@@ -129,7 +138,7 @@ class ChatBot:
# 如果找不到思考消息,直接返回
if not thinking_message:
- logger.warning(f"未找到对应的思考消息,可能已超时被移除")
+ logger.warning("未找到对应的思考消息,可能已超时被移除")
return
# 记录开始思考的时间,避免从思考到回复的时间太久
@@ -178,7 +187,7 @@ class ChatBot:
# 检查是否 <没有找到> emoji
if emoji_raw != None:
- emoji_path, discription = emoji_raw
+ emoji_path, description = emoji_raw
emoji_cq = CQCode.create_emoji_cq(emoji_path)
@@ -194,7 +203,7 @@ class ChatBot:
raw_message=emoji_cq,
plain_text=emoji_cq,
processed_plain_text=emoji_cq,
- detailed_plain_text=discription,
+ detailed_plain_text=description,
user_nickname=global_config.BOT_NICKNAME,
group_name=message.group_name,
time=bot_response_time,
diff --git a/src/plugins/chat/config.py b/src/plugins/chat/config.py
index c37d23a4..7aed9eee 100644
--- a/src/plugins/chat/config.py
+++ b/src/plugins/chat/config.py
@@ -1,6 +1,6 @@
import os
from dataclasses import dataclass, field
-from typing import Dict, Optional
+from typing import Dict, List, Optional
import tomli
from loguru import logger
@@ -12,10 +12,12 @@ from packaging.specifiers import SpecifierSet, InvalidSpecifier
@dataclass
class BotConfig:
"""机器人配置类"""
+
INNER_VERSION: Version = None
BOT_QQ: Optional[int] = 1
BOT_NICKNAME: Optional[str] = None
+ BOT_ALIAS_NAMES: List[str] = field(default_factory=list) # 别名,可以通过这个叫它
# 消息处理相关配置
MIN_TEXT_LENGTH: int = 2 # 最小处理文本长度
@@ -43,6 +45,7 @@ class BotConfig:
EMOJI_CHECK_PROMPT: str = "符合公序良俗" # 表情包过滤要求
ban_words = set()
+ ban_msgs_regex = set()
max_response_length: int = 1024 # 最大回复长度
@@ -81,23 +84,25 @@ class BotConfig:
PROMPT_PERSONALITY = [
"曾经是一个学习地质的女大学生,现在学习心理学和脑科学,你会刷贴吧",
"是一个女大学生,你有黑色头发,你会刷小红书",
- "是一个女大学生,你会刷b站,对ACG文化感兴趣"
+ "是一个女大学生,你会刷b站,对ACG文化感兴趣",
]
- PROMPT_SCHEDULE_GEN="一个曾经学习地质,现在学习心理学和脑科学的女大学生,喜欢刷qq,贴吧,知乎和小红书"
-
- PERSONALITY_1: float = 0.6 # 第一种人格概率
- PERSONALITY_2: float = 0.3 # 第二种人格概率
- PERSONALITY_3: float = 0.1 # 第三种人格概率
-
- memory_ban_words: list = field(default_factory=lambda: ['表情包', '图片', '回复', '聊天记录']) # 添加新的配置项默认值
-
+ PROMPT_SCHEDULE_GEN = "一个曾经学习地质,现在学习心理学和脑科学的女大学生,喜欢刷qq,贴吧,知乎和小红书"
+
+ PERSONALITY_1: float = 0.6 # 第一种人格概率
+ PERSONALITY_2: float = 0.3 # 第二种人格概率
+ PERSONALITY_3: float = 0.1 # 第三种人格概率
+
+ memory_ban_words: list = field(
+ default_factory=lambda: ["表情包", "图片", "回复", "聊天记录"]
+ ) # 添加新的配置项默认值
+
@staticmethod
def get_config_dir() -> str:
"""获取配置文件目录"""
current_dir = os.path.dirname(os.path.abspath(__file__))
- root_dir = os.path.abspath(os.path.join(current_dir, '..', '..', '..'))
- config_dir = os.path.join(root_dir, 'config')
+ root_dir = os.path.abspath(os.path.join(current_dir, "..", "..", ".."))
+ config_dir = os.path.join(root_dir, "config")
if not os.path.exists(config_dir):
os.makedirs(config_dir)
return config_dir
@@ -108,35 +113,32 @@ class BotConfig:
Args:
value[str]: 版本表达式(字符串)
Returns:
- SpecifierSet
+ SpecifierSet
"""
try:
converted = SpecifierSet(value)
- except InvalidSpecifier as e:
- logger.error(
- f"{value} 分类使用了错误的版本约束表达式\n",
- "请阅读 https://semver.org/lang/zh-CN/ 修改代码"
- )
+ except InvalidSpecifier:
+ logger.error(f"{value} 分类使用了错误的版本约束表达式\n", "请阅读 https://semver.org/lang/zh-CN/ 修改代码")
exit(1)
return converted
@classmethod
def get_config_version(cls, toml: dict) -> Version:
- """提取配置文件的 SpecifierSet 版本数据
+ """提取配置文件的 SpecifierSet 版本数据
Args:
toml[dict]: 输入的配置文件字典
Returns:
- Version
+ Version
"""
- if 'inner' in toml:
+ if "inner" in toml:
try:
config_version: str = toml["inner"]["version"]
except KeyError as e:
- logger.error(f"配置文件中 inner 段 不存在, 这是错误的配置文件")
- raise KeyError(f"配置文件中 inner 段 不存在 {e}, 这是错误的配置文件")
+ logger.error("配置文件中 inner 段 不存在, 这是错误的配置文件")
+ raise KeyError(f"配置文件中 inner 段 不存在 {e}, 这是错误的配置文件") from e
else:
toml["inner"] = {"version": "0.0.0"}
config_version = toml["inner"]["version"]
@@ -149,7 +151,7 @@ class BotConfig:
"请阅读 https://semver.org/lang/zh-CN/ 修改配置,并参考本项目指定的模板进行修改\n"
"本项目在不同的版本下有不同的模板,请注意识别"
)
- raise InvalidVersion("配置文件中 inner段 的 version 键是错误的版本描述\n")
+ raise InvalidVersion("配置文件中 inner段 的 version 键是错误的版本描述\n") from e
return ver
@@ -159,26 +161,26 @@ class BotConfig:
config = cls()
def personality(parent: dict):
- personality_config = parent['personality']
- personality = personality_config.get('prompt_personality')
+ personality_config = parent["personality"]
+ personality = personality_config.get("prompt_personality")
if len(personality) >= 2:
logger.debug(f"载入自定义人格:{personality}")
- config.PROMPT_PERSONALITY = personality_config.get('prompt_personality', config.PROMPT_PERSONALITY)
+ config.PROMPT_PERSONALITY = personality_config.get("prompt_personality", config.PROMPT_PERSONALITY)
logger.info(f"载入自定义日程prompt:{personality_config.get('prompt_schedule', config.PROMPT_SCHEDULE_GEN)}")
- config.PROMPT_SCHEDULE_GEN = personality_config.get('prompt_schedule', config.PROMPT_SCHEDULE_GEN)
+ config.PROMPT_SCHEDULE_GEN = personality_config.get("prompt_schedule", config.PROMPT_SCHEDULE_GEN)
if config.INNER_VERSION in SpecifierSet(">=0.0.2"):
- config.PERSONALITY_1 = personality_config.get('personality_1_probability', config.PERSONALITY_1)
- config.PERSONALITY_2 = personality_config.get('personality_2_probability', config.PERSONALITY_2)
- config.PERSONALITY_3 = personality_config.get('personality_3_probability', config.PERSONALITY_3)
+ config.PERSONALITY_1 = personality_config.get("personality_1_probability", config.PERSONALITY_1)
+ config.PERSONALITY_2 = personality_config.get("personality_2_probability", config.PERSONALITY_2)
+ config.PERSONALITY_3 = personality_config.get("personality_3_probability", config.PERSONALITY_3)
def emoji(parent: dict):
emoji_config = parent["emoji"]
config.EMOJI_CHECK_INTERVAL = emoji_config.get("check_interval", config.EMOJI_CHECK_INTERVAL)
config.EMOJI_REGISTER_INTERVAL = emoji_config.get("register_interval", config.EMOJI_REGISTER_INTERVAL)
- config.EMOJI_CHECK_PROMPT = emoji_config.get('check_prompt', config.EMOJI_CHECK_PROMPT)
- config.EMOJI_SAVE = emoji_config.get('auto_save', config.EMOJI_SAVE)
- config.EMOJI_CHECK = emoji_config.get('enable_check', config.EMOJI_CHECK)
+ config.EMOJI_CHECK_PROMPT = emoji_config.get("check_prompt", config.EMOJI_CHECK_PROMPT)
+ config.EMOJI_SAVE = emoji_config.get("auto_save", config.EMOJI_SAVE)
+ config.EMOJI_CHECK = emoji_config.get("enable_check", config.EMOJI_CHECK)
def cq_code(parent: dict):
cq_code_config = parent["cq_code"]
@@ -191,12 +193,16 @@ class BotConfig:
config.BOT_QQ = int(bot_qq)
config.BOT_NICKNAME = bot_config.get("nickname", config.BOT_NICKNAME)
+ if config.INNER_VERSION in SpecifierSet(">=0.0.5"):
+ config.BOT_ALIAS_NAMES = bot_config.get("alias_names", config.BOT_ALIAS_NAMES)
+
def response(parent: dict):
response_config = parent["response"]
config.MODEL_R1_PROBABILITY = response_config.get("model_r1_probability", config.MODEL_R1_PROBABILITY)
config.MODEL_V3_PROBABILITY = response_config.get("model_v3_probability", config.MODEL_V3_PROBABILITY)
- config.MODEL_R1_DISTILL_PROBABILITY = response_config.get("model_r1_distill_probability",
- config.MODEL_R1_DISTILL_PROBABILITY)
+ config.MODEL_R1_DISTILL_PROBABILITY = response_config.get(
+ "model_r1_distill_probability", config.MODEL_R1_DISTILL_PROBABILITY
+ )
config.max_response_length = response_config.get("max_response_length", config.max_response_length)
def model(parent: dict):
@@ -213,7 +219,7 @@ class BotConfig:
"llm_emotion_judge",
"vlm",
"embedding",
- "moderation"
+ "moderation",
]
for item in config_list:
@@ -222,13 +228,7 @@ class BotConfig:
# base_url 的例子: SILICONFLOW_BASE_URL
# key 的例子: SILICONFLOW_KEY
- cfg_target = {
- "name": "",
- "base_url": "",
- "key": "",
- "pri_in": 0,
- "pri_out": 0
- }
+ cfg_target = {"name": "", "base_url": "", "key": "", "pri_in": 0, "pri_out": 0}
if config.INNER_VERSION in SpecifierSet("<=0.0.0"):
cfg_target = cfg_item
@@ -247,7 +247,7 @@ class BotConfig:
cfg_target[i] = cfg_item[i]
except KeyError as e:
logger.error(f"{item} 中的必要字段不存在,请检查")
- raise KeyError(f"{item} 中的必要字段 {e} 不存在,请检查")
+ raise KeyError(f"{item} 中的必要字段 {e} 不存在,请检查") from e
provider = cfg_item.get("provider")
if provider is None:
@@ -272,17 +272,22 @@ class BotConfig:
if config.INNER_VERSION in SpecifierSet(">=0.0.2"):
config.thinking_timeout = msg_config.get("thinking_timeout", config.thinking_timeout)
- config.response_willing_amplifier = msg_config.get("response_willing_amplifier",
- config.response_willing_amplifier)
- config.response_interested_rate_amplifier = msg_config.get("response_interested_rate_amplifier",
- config.response_interested_rate_amplifier)
+ config.response_willing_amplifier = msg_config.get(
+ "response_willing_amplifier", config.response_willing_amplifier
+ )
+ config.response_interested_rate_amplifier = msg_config.get(
+ "response_interested_rate_amplifier", config.response_interested_rate_amplifier
+ )
config.down_frequency_rate = msg_config.get("down_frequency_rate", config.down_frequency_rate)
+
+ if config.INNER_VERSION in SpecifierSet(">=0.0.6"):
+ config.ban_msgs_regex = msg_config.get("ban_msgs_regex", config.ban_msgs_regex)
def memory(parent: dict):
memory_config = parent["memory"]
config.build_memory_interval = memory_config.get("build_memory_interval", config.build_memory_interval)
config.forget_memory_interval = memory_config.get("forget_memory_interval", config.forget_memory_interval)
-
+
# 在版本 >= 0.0.4 时才处理新增的配置项
if config.INNER_VERSION in SpecifierSet(">=0.0.4"):
config.memory_ban_words = set(memory_config.get("memory_ban_words", []))
@@ -303,10 +308,12 @@ class BotConfig:
config.chinese_typo_enable = chinese_typo_config.get("enable", config.chinese_typo_enable)
config.chinese_typo_error_rate = chinese_typo_config.get("error_rate", config.chinese_typo_error_rate)
config.chinese_typo_min_freq = chinese_typo_config.get("min_freq", config.chinese_typo_min_freq)
- config.chinese_typo_tone_error_rate = chinese_typo_config.get("tone_error_rate",
- config.chinese_typo_tone_error_rate)
- config.chinese_typo_word_replace_rate = chinese_typo_config.get("word_replace_rate",
- config.chinese_typo_word_replace_rate)
+ config.chinese_typo_tone_error_rate = chinese_typo_config.get(
+ "tone_error_rate", config.chinese_typo_tone_error_rate
+ )
+ config.chinese_typo_word_replace_rate = chinese_typo_config.get(
+ "word_replace_rate", config.chinese_typo_word_replace_rate
+ )
def groups(parent: dict):
groups_config = parent["groups"]
@@ -325,61 +332,19 @@ class BotConfig:
# 例如:"notice": "personality 将在 1.3.2 后被移除",那么在有效版本中的用户就会虽然可以
# 正常执行程序,但是会看到这条自定义提示
include_configs = {
- "personality": {
- "func": personality,
- "support": ">=0.0.0"
- },
- "emoji": {
- "func": emoji,
- "support": ">=0.0.0"
- },
- "cq_code": {
- "func": cq_code,
- "support": ">=0.0.0"
- },
- "bot": {
- "func": bot,
- "support": ">=0.0.0"
- },
- "response": {
- "func": response,
- "support": ">=0.0.0"
- },
- "model": {
- "func": model,
- "support": ">=0.0.0"
- },
- "message": {
- "func": message,
- "support": ">=0.0.0"
- },
- "memory": {
- "func": memory,
- "support": ">=0.0.0",
- "necessary": False
- },
- "mood": {
- "func": mood,
- "support": ">=0.0.0"
- },
- "keywords_reaction": {
- "func": keywords_reaction,
- "support": ">=0.0.2",
- "necessary": False
- },
- "chinese_typo": {
- "func": chinese_typo,
- "support": ">=0.0.3",
- "necessary": False
- },
- "groups": {
- "func": groups,
- "support": ">=0.0.0"
- },
- "others": {
- "func": others,
- "support": ">=0.0.0"
- }
+ "personality": {"func": personality, "support": ">=0.0.0"},
+ "emoji": {"func": emoji, "support": ">=0.0.0"},
+ "cq_code": {"func": cq_code, "support": ">=0.0.0"},
+ "bot": {"func": bot, "support": ">=0.0.0"},
+ "response": {"func": response, "support": ">=0.0.0"},
+ "model": {"func": model, "support": ">=0.0.0"},
+ "message": {"func": message, "support": ">=0.0.0"},
+ "memory": {"func": memory, "support": ">=0.0.0", "necessary": False},
+ "mood": {"func": mood, "support": ">=0.0.0"},
+ "keywords_reaction": {"func": keywords_reaction, "support": ">=0.0.2", "necessary": False},
+ "chinese_typo": {"func": chinese_typo, "support": ">=0.0.3", "necessary": False},
+ "groups": {"func": groups, "support": ">=0.0.0"},
+ "others": {"func": others, "support": ">=0.0.0"},
}
# 原地修改,将 字符串版本表达式 转换成 版本对象
@@ -391,7 +356,7 @@ class BotConfig:
with open(config_path, "rb") as f:
try:
toml_dict = tomli.load(f)
- except(tomli.TOMLDecodeError) as e:
+ except tomli.TOMLDecodeError as e:
logger.critical(f"配置文件bot_config.toml填写有误,请检查第{e.lineno}行第{e.colno}处:{e.msg}")
exit(1)
@@ -406,7 +371,7 @@ class BotConfig:
# 检查配置文件版本是否在支持范围内
if config.INNER_VERSION in group_specifierset:
# 如果版本在支持范围内,检查是否存在通知
- if 'notice' in include_configs[key]:
+ if "notice" in include_configs[key]:
logger.warning(include_configs[key]["notice"])
include_configs[key]["func"](toml_dict)
@@ -420,7 +385,7 @@ class BotConfig:
raise InvalidVersion(f"当前程序仅支持以下版本范围: {group_specifierset}")
# 如果 necessary 项目存在,而且显式声明是 False,进入特殊处理
- elif "necessary" in include_configs[key] and include_configs[key].get("necessary") == False:
+ elif "necessary" in include_configs[key] and include_configs[key].get("necessary") is False:
# 通过 pass 处理的项虽然直接忽略也是可以的,但是为了不增加理解困难,依然需要在这里显式处理
if key == "keywords_reaction":
pass
diff --git a/src/plugins/chat/cq_code.py b/src/plugins/chat/cq_code.py
index b13e33e4..710d5cd6 100644
--- a/src/plugins/chat/cq_code.py
+++ b/src/plugins/chat/cq_code.py
@@ -1,6 +1,5 @@
import base64
import html
-import os
import time
from dataclasses import dataclass
from typing import Dict, Optional
@@ -17,7 +16,7 @@ from urllib3.util import create_urllib3_context
from ..models.utils_model import LLM_request
from .config import global_config
from .mapper import emojimapper
-from .utils_image import storage_emoji, storage_image
+from .utils_image import image_path_to_base64, storage_emoji, storage_image
from .utils_user import get_user_nickname
driver = get_driver()
@@ -155,8 +154,8 @@ class CQCode:
logger.error(f"最终请求失败: {str(e)}")
time.sleep(1.5 ** retry) # 指数退避
- except Exception as e:
- logger.exception(f"[未知错误]")
+ except Exception:
+ logger.exception("[未知错误]")
return None
return None
@@ -281,7 +280,7 @@ class CQCode:
logger.debug(f"合并后的转发消息: {combined_messages}")
return f"[转发消息:\n{combined_messages}]"
- except Exception as e:
+ except Exception:
logger.exception("处理转发消息失败")
return '[转发消息]'
@@ -328,15 +327,10 @@ class CQCode:
Returns:
表情包CQ码字符串
"""
- # 确保使用绝对路径
- abs_path = os.path.abspath(file_path)
- # 转义特殊字符
- escaped_path = abs_path.replace('&', '&') \
- .replace('[', '[') \
- .replace(']', ']') \
- .replace(',', ',')
+ base64_content = image_path_to_base64(file_path)
+
# 生成CQ码,设置sub_type=1表示这是表情包
- return f"[CQ:image,file=file:///{escaped_path},sub_type=1]"
+ return f"[CQ:image,file=base64://{base64_content},sub_type=1]"
class CQCode_tool:
diff --git a/src/plugins/chat/emoji_manager.py b/src/plugins/chat/emoji_manager.py
index 740e9a67..cec81518 100644
--- a/src/plugins/chat/emoji_manager.py
+++ b/src/plugins/chat/emoji_manager.py
@@ -33,7 +33,7 @@ class EmojiManager:
self.db = Database.get_instance()
self._scan_task = None
self.vlm = LLM_request(model=global_config.vlm, temperature=0.3, max_tokens=1000)
- self.llm_emotion_judge = LLM_request(model=global_config.llm_normal_minor, max_tokens=60,
+ self.llm_emotion_judge = LLM_request(model=global_config.llm_emotion_judge, max_tokens=60,
temperature=0.8) # 更高的温度,更少的token(后续可以根据情绪来调整温度)
@@ -51,8 +51,8 @@ class EmojiManager:
self._initialized = True
# 启动时执行一次完整性检查
self.check_emoji_file_integrity()
- except Exception as e:
- logger.exception(f"初始化表情管理器失败")
+ except Exception:
+ logger.exception("初始化表情管理器失败")
def _ensure_db(self):
"""确保数据库已初始化"""
@@ -87,8 +87,8 @@ class EmojiManager:
{'_id': emoji_id},
{'$inc': {'usage_count': 1}}
)
- except Exception as e:
- logger.exception(f"记录表情使用失败")
+ except Exception:
+ logger.exception("记录表情使用失败")
async def get_emoji_for_text(self, text: str) -> Optional[str]:
"""根据文本内容获取相关表情包
@@ -117,7 +117,7 @@ class EmojiManager:
try:
# 获取所有表情包
- all_emojis = list(self.db.db.emoji.find({}, {'_id': 1, 'path': 1, 'embedding': 1, 'discription': 1}))
+ all_emojis = list(self.db.db.emoji.find({}, {'_id': 1, 'path': 1, 'embedding': 1, 'description': 1}))
if not all_emojis:
logger.warning("数据库中没有任何表情包")
@@ -160,9 +160,9 @@ class EmojiManager:
{'$inc': {'usage_count': 1}}
)
logger.success(
- f"找到匹配的表情包: {selected_emoji.get('discription', '无描述')} (相似度: {similarity:.4f})")
+ f"找到匹配的表情包: {selected_emoji.get('description', '无描述')} (相似度: {similarity:.4f})")
# 稍微改一下文本描述,不然容易产生幻觉,描述已经包含 表情包 了
- return selected_emoji['path'], "[ %s ]" % selected_emoji.get('discription', '无描述')
+ return selected_emoji['path'], "[ %s ]" % selected_emoji.get('description', '无描述')
except Exception as search_error:
logger.error(f"搜索表情包失败: {str(search_error)}")
@@ -174,7 +174,7 @@ class EmojiManager:
logger.error(f"获取表情包失败: {str(e)}")
return None
- async def _get_emoji_discription(self, image_base64: str) -> str:
+ async def _get_emoji_description(self, image_base64: str) -> str:
"""获取表情包的标签"""
try:
prompt = '这是一个表情包,使用中文简洁的描述一下表情包的内容和表情包所表达的情感'
@@ -236,36 +236,36 @@ class EmojiManager:
continue
# 获取表情包的描述
- discription = await self._get_emoji_discription(image_base64)
+ description = await self._get_emoji_description(image_base64)
if global_config.EMOJI_CHECK:
check = await self._check_emoji(image_base64)
if '是' not in check:
os.remove(image_path)
- logger.info(f"描述: {discription}")
+ logger.info(f"描述: {description}")
logger.info(f"其不满足过滤规则,被剔除 {check}")
continue
logger.info(f"check通过 {check}")
- if discription is not None:
- embedding = await get_embedding(discription)
+ if description is not None:
+ embedding = await get_embedding(description)
# 准备数据库记录
emoji_record = {
'filename': filename,
'path': image_path,
'embedding': embedding,
- 'discription': discription,
+ 'description': description,
'timestamp': int(time.time())
}
# 保存到数据库
self.db.db['emoji'].insert_one(emoji_record)
logger.success(f"注册新表情包: {filename}")
- logger.info(f"描述: {discription}")
+ logger.info(f"描述: {description}")
else:
logger.warning(f"跳过表情包: {filename}")
- except Exception as e:
- logger.exception(f"扫描表情包失败")
+ except Exception:
+ logger.exception("扫描表情包失败")
async def _periodic_scan(self, interval_MINS: int = 10):
"""定期扫描新表情包"""
diff --git a/src/plugins/chat/llm_generator.py b/src/plugins/chat/llm_generator.py
index f40c9a44..4e431d9f 100644
--- a/src/plugins/chat/llm_generator.py
+++ b/src/plugins/chat/llm_generator.py
@@ -94,7 +94,7 @@ class ResponseGenerator:
try:
content, reasoning_content = await model.generate_response(prompt)
except Exception:
- logger.exception(f"生成回复时出错")
+ logger.exception("生成回复时出错")
return None
# 保存到数据库
@@ -146,7 +146,7 @@ class ResponseGenerator:
return ["neutral"]
except Exception:
- logger.exception(f"获取情感标签时出错")
+ logger.exception("获取情感标签时出错")
return ["neutral"]
async def _process_response(self, content: str) -> Tuple[List[str], List[str]]:
diff --git a/src/plugins/chat/message_sender.py b/src/plugins/chat/message_sender.py
index 4abbd3b3..0fb40373 100644
--- a/src/plugins/chat/message_sender.py
+++ b/src/plugins/chat/message_sender.py
@@ -61,7 +61,7 @@ class Message_Sender:
auto_escape=auto_escape
)
logger.debug(f"发送消息{message}成功")
- except Exception as e:
+ except Exception:
logger.exception(f"发送消息{message}失败")
@@ -120,7 +120,7 @@ class MessageContainer:
return True
return False
except Exception:
- logger.exception(f"移除消息时发生错误")
+ logger.exception("移除消息时发生错误")
return False
def has_messages(self) -> bool:
@@ -214,7 +214,7 @@ class MessageManager:
if not container.remove_message(msg):
logger.warning("尝试删除不存在的消息")
except Exception:
- logger.exception(f"处理超时消息时发生错误")
+ logger.exception("处理超时消息时发生错误")
continue
async def start_processor(self):
diff --git a/src/plugins/chat/prompt_builder.py b/src/plugins/chat/prompt_builder.py
index 4cf21af1..0805caa5 100644
--- a/src/plugins/chat/prompt_builder.py
+++ b/src/plugins/chat/prompt_builder.py
@@ -131,18 +131,19 @@ class PromptBuilder:
probability_1 = global_config.PERSONALITY_1
probability_2 = global_config.PERSONALITY_2
probability_3 = global_config.PERSONALITY_3
- prompt_personality = ''
+
+ prompt_personality = f'{activate_prompt}你的网名叫{global_config.BOT_NICKNAME},你还有很多别名:{"/".join(global_config.BOT_ALIAS_NAMES)},'
personality_choice = random.random()
if personality_choice < probability_1: # 第一种人格
- prompt_personality = f'''{activate_prompt}你的网名叫{global_config.BOT_NICKNAME},{personality[0]}, 你正在浏览qq群,{promt_info_prompt},
+ prompt_personality += f'''{personality[0]}, 你正在浏览qq群,{promt_info_prompt},
现在请你给出日常且口语化的回复,平淡一些,尽量简短一些。{keywords_reaction_prompt}
请注意把握群里的聊天内容,不要刻意突出自身学科背景,不要回复的太有条理,可以有个性。'''
elif personality_choice < probability_1 + probability_2: # 第二种人格
- prompt_personality = f'''{activate_prompt}你的网名叫{global_config.BOT_NICKNAME},{personality[1]}, 你正在浏览qq群,{promt_info_prompt},
+ prompt_personality += f'''{personality[1]}, 你正在浏览qq群,{promt_info_prompt},
现在请你给出日常且口语化的回复,请表现你自己的见解,不要一昧迎合,尽量简短一些。{keywords_reaction_prompt}
请你表达自己的见解和观点。可以有个性。'''
else: # 第三种人格
- prompt_personality = f'''{activate_prompt}你的网名叫{global_config.BOT_NICKNAME},{personality[2]}, 你正在浏览qq群,{promt_info_prompt},
+ prompt_personality += f'''{personality[2]}, 你正在浏览qq群,{promt_info_prompt},
现在请你给出日常且口语化的回复,请表现你自己的见解,不要一昧迎合,尽量简短一些。{keywords_reaction_prompt}
请你表达自己的见解和观点。可以有个性。'''
diff --git a/src/plugins/chat/storage.py b/src/plugins/chat/storage.py
index 1c2d0507..4081f898 100644
--- a/src/plugins/chat/storage.py
+++ b/src/plugins/chat/storage.py
@@ -45,6 +45,6 @@ class MessageStorage:
self.db.db.messages.insert_one(message_data)
except Exception:
- logger.exception(f"存储消息失败")
+ logger.exception("存储消息失败")
# 如果需要其他存储相关的函数,可以在这里添加
diff --git a/src/plugins/chat/utils.py b/src/plugins/chat/utils.py
index 054526e9..6619f37a 100644
--- a/src/plugins/chat/utils.py
+++ b/src/plugins/chat/utils.py
@@ -53,19 +53,13 @@ def db_message_to_str(message_dict: Dict) -> str:
return result
-def is_mentioned_bot_in_message(message: Message) -> bool:
- """检查消息是否提到了机器人"""
- keywords = [global_config.BOT_NICKNAME]
- for keyword in keywords:
- if keyword in message.processed_plain_text:
- return True
- return False
-
-
def is_mentioned_bot_in_txt(message: str) -> bool:
"""检查消息是否提到了机器人"""
- keywords = [global_config.BOT_NICKNAME]
- for keyword in keywords:
+ if global_config.BOT_NICKNAME is None:
+ return True
+ if global_config.BOT_NICKNAME in message:
+ return True
+ for keyword in global_config.BOT_ALIAS_NAMES:
if keyword in message:
return True
return False
diff --git a/src/plugins/memory_system/memory.py b/src/plugins/memory_system/memory.py
index 0730f9e5..e7198b10 100644
--- a/src/plugins/memory_system/memory.py
+++ b/src/plugins/memory_system/memory.py
@@ -318,6 +318,8 @@ class Hippocampus:
compressed_memory, similar_topics_dict = await self.memory_compress(messages, compress_rate)
logger.info(f"压缩后记忆数量: {len(compressed_memory)},似曾相识的话题: {len(similar_topics_dict)}")
+ current_time = datetime.datetime.now().timestamp()
+
for topic, memory in compressed_memory:
logger.info(f"添加节点: {topic}")
self.memory_graph.add_dot(topic, memory)
@@ -330,7 +332,10 @@ class Hippocampus:
if topic != similar_topic:
strength = int(similarity * 10)
logger.info(f"连接相似节点: {topic} 和 {similar_topic} (强度: {strength})")
- self.memory_graph.G.add_edge(topic, similar_topic, strength=strength)
+ self.memory_graph.G.add_edge(topic, similar_topic,
+ strength=strength,
+ created_time=current_time,
+ last_modified=current_time)
# 连接同批次的相关话题
for i in range(len(all_topics)):
@@ -438,21 +443,39 @@ class Hippocampus:
def sync_memory_from_db(self):
"""从数据库同步数据到内存中的图结构"""
+ current_time = datetime.datetime.now().timestamp()
+ need_update = False
+
# 清空当前图
self.memory_graph.G.clear()
# 从数据库加载所有节点
- nodes = self.memory_graph.db.db.graph_data.nodes.find()
+ nodes = list(self.memory_graph.db.db.graph_data.nodes.find())
for node in nodes:
concept = node['concept']
memory_items = node.get('memory_items', [])
- # 确保memory_items是列表
if not isinstance(memory_items, list):
memory_items = [memory_items] if memory_items else []
- # 获取时间信息
- created_time = node.get('created_time', datetime.datetime.now().timestamp())
- last_modified = node.get('last_modified', datetime.datetime.now().timestamp())
+ # 检查时间字段是否存在
+ if 'created_time' not in node or 'last_modified' not in node:
+ need_update = True
+ # 更新数据库中的节点
+ update_data = {}
+ if 'created_time' not in node:
+ update_data['created_time'] = current_time
+ if 'last_modified' not in node:
+ update_data['last_modified'] = current_time
+
+ self.memory_graph.db.db.graph_data.nodes.update_one(
+ {'concept': concept},
+ {'$set': update_data}
+ )
+ logger.info(f"为节点 {concept} 添加缺失的时间字段")
+
+ # 获取时间信息(如果不存在则使用当前时间)
+ created_time = node.get('created_time', current_time)
+ last_modified = node.get('last_modified', current_time)
# 添加节点到图中
self.memory_graph.G.add_node(concept,
@@ -461,15 +484,31 @@ class Hippocampus:
last_modified=last_modified)
# 从数据库加载所有边
- edges = self.memory_graph.db.db.graph_data.edges.find()
+ edges = list(self.memory_graph.db.db.graph_data.edges.find())
for edge in edges:
source = edge['source']
target = edge['target']
- strength = edge.get('strength', 1) # 获取 strength,默认为 1
+ strength = edge.get('strength', 1)
- # 获取时间信息
- created_time = edge.get('created_time', datetime.datetime.now().timestamp())
- last_modified = edge.get('last_modified', datetime.datetime.now().timestamp())
+ # 检查时间字段是否存在
+ if 'created_time' not in edge or 'last_modified' not in edge:
+ need_update = True
+ # 更新数据库中的边
+ update_data = {}
+ if 'created_time' not in edge:
+ update_data['created_time'] = current_time
+ if 'last_modified' not in edge:
+ update_data['last_modified'] = current_time
+
+ self.memory_graph.db.db.graph_data.edges.update_one(
+ {'source': source, 'target': target},
+ {'$set': update_data}
+ )
+ logger.info(f"为边 {source} - {target} 添加缺失的时间字段")
+
+ # 获取时间信息(如果不存在则使用当前时间)
+ created_time = edge.get('created_time', current_time)
+ last_modified = edge.get('last_modified', current_time)
# 只有当源节点和目标节点都存在时才添加边
if source in self.memory_graph.G and target in self.memory_graph.G:
@@ -477,6 +516,9 @@ class Hippocampus:
strength=strength,
created_time=created_time,
last_modified=last_modified)
+
+ if need_update:
+ logger.success("已为缺失的时间字段进行补充")
async def operation_forget_topic(self, percentage=0.1):
"""随机选择图中一定比例的节点和边进行检查,根据时间条件决定是否遗忘"""
diff --git a/src/plugins/models/utils_model.py b/src/plugins/models/utils_model.py
index fe8e1a10..ac567600 100644
--- a/src/plugins/models/utils_model.py
+++ b/src/plugins/models/utils_model.py
@@ -44,8 +44,8 @@ class LLM_request:
self.db.db.llm_usage.create_index([("model_name", 1)])
self.db.db.llm_usage.create_index([("user_id", 1)])
self.db.db.llm_usage.create_index([("request_type", 1)])
- except Exception as e:
- logger.error(f"创建数据库索引失败")
+ except Exception:
+ logger.error("创建数据库索引失败")
def _record_usage(self, prompt_tokens: int, completion_tokens: int, total_tokens: int,
user_id: str = "system", request_type: str = "chat",
@@ -80,7 +80,7 @@ class LLM_request:
f"总计: {total_tokens}"
)
except Exception:
- logger.error(f"记录token使用情况失败")
+ logger.error("记录token使用情况失败")
def _calculate_cost(self, prompt_tokens: int, completion_tokens: int) -> float:
"""计算API调用成本
@@ -194,7 +194,7 @@ class LLM_request:
if hasattr(global_config, 'llm_normal') and global_config.llm_normal.get(
'name') == old_model_name:
global_config.llm_normal['name'] = self.model_name
- logger.warning(f"已将全局配置中的 llm_normal 模型降级")
+ logger.warning("已将全局配置中的 llm_normal 模型降级")
# 更新payload中的模型名
if payload and 'model' in payload:
@@ -227,7 +227,7 @@ class LLM_request:
delta_content = ""
accumulated_content += delta_content
except Exception:
- logger.exception(f"解析流式输出错")
+ logger.exception("解析流式输出错")
content = accumulated_content
reasoning_content = ""
think_match = re.search(r'(.*?)', content, re.DOTALL)
@@ -355,7 +355,7 @@ class LLM_request:
"""构建请求头"""
if no_key:
return {
- "Authorization": f"Bearer **********",
+ "Authorization": "Bearer **********",
"Content-Type": "application/json"
}
else:
diff --git a/src/plugins/schedule/schedule_generator.py b/src/plugins/schedule/schedule_generator.py
index fc07a152..e280c6bc 100644
--- a/src/plugins/schedule/schedule_generator.py
+++ b/src/plugins/schedule/schedule_generator.py
@@ -68,7 +68,7 @@ class ScheduleGenerator:
1. 早上的学习和工作安排
2. 下午的活动和任务
3. 晚上的计划和休息时间
- 请按照时间顺序列出具体时间点和对应的活动,用一个时间点而不是时间段来表示时间,用JSON格式返回日程表,仅返回内容,不要返回注释,时间采用24小时制,格式为{"时间": "活动","时间": "活动",...}。"""
+ 请按照时间顺序列出具体时间点和对应的活动,用一个时间点而不是时间段来表示时间,用JSON格式返回日程表,仅返回内容,不要返回注释,不要添加任何markdown或代码块样式,时间采用24小时制,格式为{"时间": "活动","时间": "活动",...}。"""
try:
schedule_text, _ = await self.llm_scheduler.generate_response(prompt)
@@ -91,7 +91,7 @@ class ScheduleGenerator:
try:
schedule_dict = json.loads(schedule_text)
return schedule_dict
- except json.JSONDecodeError as e:
+ except json.JSONDecodeError:
logger.exception("解析日程失败: {}".format(schedule_text))
return False
diff --git a/src/plugins/utils/statistic.py b/src/plugins/utils/statistic.py
index a071355a..2974389e 100644
--- a/src/plugins/utils/statistic.py
+++ b/src/plugins/utils/statistic.py
@@ -155,7 +155,7 @@ class LLMStatistics:
all_stats = self._collect_all_statistics()
self._save_statistics(all_stats)
except Exception:
- logger.exception(f"统计数据处理失败")
+ logger.exception("统计数据处理失败")
# 等待1分钟
for _ in range(60):
diff --git a/template/bot_config_template.toml b/template/bot_config_template.toml
index bff64d05..126fc501 100644
--- a/template/bot_config_template.toml
+++ b/template/bot_config_template.toml
@@ -1,5 +1,5 @@
[inner]
-version = "0.0.4"
+version = "0.0.6"
#如果你想要修改配置文件,请在修改后将version的值进行变更
#如果新增项目,请在BotConfig类下新增相应的变量
@@ -15,6 +15,7 @@ version = "0.0.4"
[bot]
qq = 123
nickname = "麦麦"
+alias_names = ["小麦", "阿麦"]
[personality]
prompt_personality = [
@@ -40,6 +41,13 @@ ban_words = [
# "403","张三"
]
+ban_msgs_regex = [
+ # 需要过滤的消息(原始消息)匹配的正则表达式,匹配到的消息将被过滤(支持CQ码),若不了解正则表达式请勿修改
+ #"https?://[^\\s]+", # 匹配https链接
+ #"\\d{4}-\\d{2}-\\d{2}", # 匹配日期
+ # "\\[CQ:at,qq=\\d+\\]" # 匹配@
+]
+
[emoji]
check_interval = 120 # 检查表情包的时间间隔
register_interval = 10 # 注册表情包的时间间隔