Merge branch 'debug' of https://github.com/SengokuCola/MaiMBot into debug

This commit is contained in:
SengokuCola
2025-03-13 19:22:20 +08:00
19 changed files with 648 additions and 116 deletions

8
.gitignore vendored
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@@ -190,7 +190,6 @@ cython_debug/
# PyPI configuration file
.pypirc
.env
# jieba
jieba.cache
@@ -199,4 +198,9 @@ jieba.cache
!.vscode/settings.json
# direnv
/.direnv
/.direnv
# JetBrains
.idea
*.iml
*.ipr

10
.pre-commit-config.yaml Normal file
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@@ -0,0 +1,10 @@
repos:
- repo: https://github.com/astral-sh/ruff-pre-commit
# Ruff version.
rev: v0.9.10
hooks:
# Run the linter.
- id: ruff
args: [ --fix ]
# Run the formatter.
- id: ruff-format

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@@ -62,6 +62,7 @@
- 📦 **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
- 📦 Linux 自动部署(实验) :请下载并运行项目根目录中的`run.sh`并按照提示安装,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)

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@@ -121,6 +121,7 @@ sudo nano /etc/systemd/system/maimbot.service
输入以下内容:
`<maimbot_directory>`你的maimbot目录
`<venv_directory>`你的venv环境就是上文创建环境后执行的代码`source maimbot/bin/activate`中source后面的路径的绝对路径
```ini

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# 群晖 NAS 部署指南
**笔者使用的是 DSM 7.2.2,其他 DSM 版本的操作可能不完全一样**
**需要使用 Container Manager群晖的部分部分入门级 NAS 可能不支持**
## 部署步骤
### 创建配置文件目录
打开 `DSM ➡️ 控制面板 ➡️ 共享文件夹`,点击 `新增` ,创建一个共享文件夹
只需要设置名称,其他设置均保持默认即可。如果你已经有 docker 专用的共享文件夹了,就跳过这一步
打开 `DSM ➡️ FileStation` 在共享文件夹中创建一个 `MaiMBot` 文件夹
### 准备配置文件
docker-compose.yml: https://github.com/SengokuCola/MaiMBot/blob/main/docker-compose.yml
下载后打开,将 `services-mongodb-image` 修改为 `mongo:4.4.24`。这是因为最新的 MongoDB 强制要求 AVX 指令集,而群晖似乎不支持这个指令集
![](https://raw.githubusercontent.com/ProperSAMA/MaiMBot/refs/heads/debug/docs/synology_docker-compose.png)
bot_config.toml: https://github.com/SengokuCola/MaiMBot/blob/main/template/bot_config_template.toml
下载后,重命名为 `bot_config.toml`
打开它,按自己的需求填写配置文件
.env.prod: https://github.com/SengokuCola/MaiMBot/blob/main/template.env
下载后,重命名为 `.env.prod`
按下图修改 mongodb 设置,使用 `MONGODB_URI`
![](https://raw.githubusercontent.com/ProperSAMA/MaiMBot/refs/heads/debug/docs/synology_.env.prod.png)
`bot_config.toml``.env.prod` 放入之前创建的 `MaiMBot`文件夹
#### 如何下载?
点这里!![](https://raw.githubusercontent.com/ProperSAMA/MaiMBot/refs/heads/debug/docs/synology_how_to_download.png)
### 创建项目
打开 `DSM ➡️ ContainerManager ➡️ 项目`,点击 `新增` 创建项目,填写以下内容:
- 项目名称: `maimbot`
- 路径:之前创建的 `MaiMBot` 文件夹
- 来源: `上传 docker-compose.yml`
- 文件:之前下载的 `docker-compose.yml` 文件
图例:
![](https://raw.githubusercontent.com/ProperSAMA/MaiMBot/refs/heads/debug/docs/synology_create_project.png)
一路点下一步,等待项目创建完成
### 设置 Napcat
1. 登陆 napcat
打开 napcat `http://<你的nas地址>:6099` 输入token登陆
token可以打开 `DSM ➡️ ContainerManager ➡️ 项目 ➡️ MaiMBot ➡️ 容器 ➡️ Napcat ➡️ 日志`,找到类似 `[WebUi] WebUi Local Panel Url: http://127.0.0.1:6099/webui?token=xxxx` 的日志
这个 `token=` 后面的就是你的 napcat token
2. 按提示登陆你给麦麦准备的QQ小号
3. 设置 websocket 客户端
`网络配置 -> 新建 -> Websocket客户端`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
### 部署完成
找个群,发送 `麦麦,你在吗` 之类的
如果一切正常,应该能正常回复了

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#!/bin/bash
# Maimbot 一键安装脚本 by Cookie987
# 适用于Debian系
# 请小心使用任何一键脚本!
# 如无法访问GitHub请修改此处镜像地址
LANG=C.UTF-8
GITHUB_REPO="https://ghfast.top/https://github.com/SengokuCola/MaiMBot.git"
# 颜色输出
GREEN="\e[32m"
RED="\e[31m"
RESET="\e[0m"
# 需要的基本软件包
REQUIRED_PACKAGES=("git" "sudo" "python3" "python3-venv" "curl" "gnupg" "python3-pip")
# 默认项目目录
DEFAULT_INSTALL_DIR="/opt/maimbot"
# 服务名称
SERVICE_NAME="maimbot"
IS_INSTALL_MONGODB=false
IS_INSTALL_NAPCAT=false
# 1/6: 检测是否安装 whiptail
if ! command -v whiptail &>/dev/null; then
echo -e "${RED}[1/6] whiptail 未安装,正在安装...${RESET}"
apt update && apt install -y whiptail
fi
get_os_info() {
if command -v lsb_release &>/dev/null; then
OS_INFO=$(lsb_release -d | cut -f2)
elif [[ -f /etc/os-release ]]; then
OS_INFO=$(grep "^PRETTY_NAME=" /etc/os-release | cut -d '"' -f2)
else
OS_INFO="Unknown OS"
fi
echo "$OS_INFO"
}
# 检查系统
check_system() {
# 检查是否为 root 用户
if [[ "$(id -u)" -ne 0 ]]; then
whiptail --title "🚫 权限不足" --msgbox "请使用 root 用户运行此脚本!\n执行方式: sudo bash $0" 10 60
exit 1
fi
if [[ -f /etc/os-release ]]; then
source /etc/os-release
if [[ "$ID" != "debian" || "$VERSION_ID" != "12" ]]; then
whiptail --title "🚫 不支持的系统" --msgbox "此脚本仅支持 Debian 12 (Bookworm)\n当前系统: $PRETTY_NAME\n安装已终止。" 10 60
exit 1
fi
else
whiptail --title "⚠️ 无法检测系统" --msgbox "无法识别系统版本,安装已终止。" 10 60
exit 1
fi
}
# 3/6: 询问用户是否安装缺失的软件包
install_packages() {
missing_packages=()
for package in "${REQUIRED_PACKAGES[@]}"; do
if ! dpkg -s "$package" &>/dev/null; then
missing_packages+=("$package")
fi
done
if [[ ${#missing_packages[@]} -gt 0 ]]; then
whiptail --title "📦 [3/6] 软件包检查" --yesno "检测到以下必须的依赖项目缺失:\n${missing_packages[*]}\n\n是否要自动安装" 12 60
if [[ $? -eq 0 ]]; then
return 0
else
whiptail --title "⚠️ 注意" --yesno "某些必要的依赖项未安装,可能会影响运行!\n是否继续" 10 60 || exit 1
fi
fi
}
# 4/6: Python 版本检查
check_python() {
PYTHON_VERSION=$(python3 -c 'import sys; print(f"{sys.version_info.major}.{sys.version_info.minor}")')
python3 -c "import sys; exit(0) if sys.version_info >= (3,9) else exit(1)"
if [[ $? -ne 0 ]]; then
whiptail --title "⚠️ [4/6] Python 版本过低" --msgbox "检测到 Python 版本为 $PYTHON_VERSION,需要 3.9 或以上!\n请升级 Python 后重新运行本脚本。" 10 60
exit 1
fi
}
# 5/6: 选择分支
choose_branch() {
BRANCH=$(whiptail --title "🔀 [5/6] 选择 Maimbot 分支" --menu "请选择要安装的 Maimbot 分支:" 15 60 2 \
"main" "稳定版本(推荐)" \
"debug" "开发版本(可能不稳定)" 3>&1 1>&2 2>&3)
if [[ -z "$BRANCH" ]]; then
BRANCH="main"
whiptail --title "🔀 默认选择" --msgbox "未选择分支默认安装稳定版本main" 10 60
fi
}
# 6/6: 选择安装路径
choose_install_dir() {
INSTALL_DIR=$(whiptail --title "📂 [6/6] 选择安装路径" --inputbox "请输入 Maimbot 的安装目录:" 10 60 "$DEFAULT_INSTALL_DIR" 3>&1 1>&2 2>&3)
if [[ -z "$INSTALL_DIR" ]]; then
whiptail --title "⚠️ 取消输入" --yesno "未输入安装路径,是否退出安装?" 10 60
if [[ $? -ne 0 ]]; then
INSTALL_DIR="$DEFAULT_INSTALL_DIR"
else
exit 1
fi
fi
}
# 显示确认界面
confirm_install() {
local confirm_message="请确认以下更改:\n\n"
if [[ ${#missing_packages[@]} -gt 0 ]]; then
confirm_message+="📦 安装缺失的依赖项: ${missing_packages[*]}\n"
else
confirm_message+="✅ 所有依赖项已安装\n"
fi
confirm_message+="📂 安装麦麦Bot到: $INSTALL_DIR\n"
confirm_message+="🔀 分支: $BRANCH\n"
if [[ "$MONGODB_INSTALLED" == "true" ]]; then
confirm_message+="✅ MongoDB 已安装\n"
else
if [[ "$IS_INSTALL_MONGODB" == "true" ]]; then
confirm_message+="📦 安装 MongoDB\n"
fi
fi
if [[ "$NAPCAT_INSTALLED" == "true" ]]; then
confirm_message+="✅ NapCat 已安装\n"
else
if [[ "$IS_INSTALL_NAPCAT" == "true" ]]; then
confirm_message+="📦 安装 NapCat\n"
fi
fi
confirm_message+="🛠️ 添加麦麦Bot作为系统服务 ($SERVICE_NAME.service)\n"
confitm_message+="\n\n注意本脚本默认使用ghfast.top为GitHub进行加速如不想使用请手动修改脚本开头的GITHUB_REPO变量。"
whiptail --title "🔧 安装确认" --yesno "$confirm_message\n\n是否继续安装" 15 60
if [[ $? -ne 0 ]]; then
whiptail --title "🚫 取消安装" --msgbox "安装已取消。" 10 60
exit 1
fi
}
check_mongodb() {
if command -v mongod &>/dev/null; then
MONGO_INSTALLED=true
else
MONGO_INSTALLED=false
fi
}
# 安装 MongoDB
install_mongodb() {
if [[ "$MONGO_INSTALLED" == "true" ]]; then
return 0
fi
whiptail --title "📦 [3/6] 软件包检查" --yesno "检测到未安装MongoDB是否安装\n如果您想使用远程数据库请跳过此步。" 10 60
if [[ $? -ne 0 ]]; then
return 1
fi
IS_INSTALL_MONGODB=true
}
check_napcat() {
if command -v napcat &>/dev/null; then
NAPCAT_INSTALLED=true
else
NAPCAT_INSTALLED=false
fi
}
install_napcat() {
if [[ "$NAPCAT_INSTALLED" == "true" ]]; then
return 0
fi
whiptail --title "📦 [3/6] 软件包检查" --yesno "检测到未安装NapCat是否安装\n如果您想使用远程NapCat请跳过此步。" 10 60
if [[ $? -ne 0 ]]; then
return 1
fi
IS_INSTALL_NAPCAT=true
}
# 运行安装步骤
check_system
check_mongodb
check_napcat
install_packages
install_mongodb
install_napcat
check_python
choose_branch
choose_install_dir
confirm_install
# 开始安装
whiptail --title "🚀 开始安装" --msgbox "所有环境检查完毕即将开始安装麦麦Bot" 10 60
echo -e "${GREEN}安装依赖项...${RESET}"
apt update && apt install -y "${missing_packages[@]}"
if [[ "$IS_INSTALL_MONGODB" == "true" ]]; then
echo -e "${GREEN}安装 MongoDB...${RESET}"
curl -fsSL https://www.mongodb.org/static/pgp/server-8.0.asc | gpg -o /usr/share/keyrings/mongodb-server-8.0.gpg --dearmor
echo "deb [ signed-by=/usr/share/keyrings/mongodb-server-8.0.gpg ] http://repo.mongodb.org/apt/debian bookworm/mongodb-org/8.0 main" | sudo tee /etc/apt/sources.list.d/mongodb-org-8.0.list
apt-get update
apt-get install -y mongodb-org
systemctl enable mongod
systemctl start mongod
fi
if [[ "$IS_INSTALL_NAPCAT" == "true" ]]; then
echo -e "${GREEN}安装 NapCat...${RESET}"
curl -o napcat.sh https://nclatest.znin.net/NapNeko/NapCat-Installer/main/script/install.sh && bash napcat.sh
fi
echo -e "${GREEN}创建 Python 虚拟环境...${RESET}"
mkdir -p "$INSTALL_DIR"
cd "$INSTALL_DIR" || exit
python3 -m venv venv
source venv/bin/activate
echo -e "${GREEN}克隆仓库...${RESET}"
# 安装 Maimbot
mkdir -p "$INSTALL_DIR/repo"
cd "$INSTALL_DIR/repo" || exit 1
git clone -b "$BRANCH" $GITHUB_REPO .
echo -e "${GREEN}安装 Python 依赖...${RESET}"
pip install -r requirements.txt
echo -e "${GREEN}设置服务...${RESET}"
# 设置 Maimbot 服务
cat <<EOF | tee /etc/systemd/system/$SERVICE_NAME.service
[Unit]
Description=MaiMbot 麦麦
After=network.target mongod.service
[Service]
Type=simple
WorkingDirectory=$INSTALL_DIR/repo/
ExecStart=$INSTALL_DIR/venv/bin/python3 bot.py
ExecStop=/bin/kill -2 $MAINPID
Restart=always
RestartSec=10s
[Install]
WantedBy=multi-user.target
EOF
systemctl daemon-reload
systemctl enable maimbot
systemctl start maimbot
whiptail --title "🎉 安装完成" --msgbox "麦麦Bot安装完成\n已经启动麦麦Bot服务。\n\n安装路径: $INSTALL_DIR\n分支: $BRANCH" 12 60

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@@ -7,7 +7,7 @@ from datetime import datetime
from typing import Dict, List
from loguru import logger
from typing import Optional
from ..common.database import db
import customtkinter as ctk
from dotenv import load_dotenv
@@ -16,6 +16,8 @@ from dotenv import load_dotenv
current_dir = os.path.dirname(os.path.abspath(__file__))
# 获取项目根目录
root_dir = os.path.abspath(os.path.join(current_dir, '..', '..'))
sys.path.insert(0, root_dir)
from src.common.database import db
# 加载环境变量
if os.path.exists(os.path.join(root_dir, '.env.dev')):

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@@ -139,3 +139,12 @@ async def print_mood_task():
"""每30秒打印一次情绪状态"""
mood_manager = MoodManager.get_instance()
mood_manager.print_mood_status()
@scheduler.scheduled_job("interval", seconds=7200, id="generate_schedule")
async def generate_schedule_task():
"""每2小时尝试生成一次日程"""
logger.debug("尝试生成日程")
await bot_schedule.initialize()
if not bot_schedule.enable_output:
bot_schedule.print_schedule()

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@@ -231,6 +231,7 @@ class ChatBot:
config=global_config,
is_emoji=message.is_emoji,
interested_rate=interested_rate,
sender_id=str(message.message_info.user_info.user_id),
)
current_willing = willing_manager.get_willing(chat_stream=chat)
@@ -261,6 +262,9 @@ class ChatBot:
willing_manager.change_reply_willing_sent(chat)
response, raw_content = await self.gpt.generate_response(message)
else:
# 决定不回复时,也更新回复意愿
willing_manager.change_reply_willing_not_sent(chat)
# print(f"response: {response}")
if response:

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@@ -86,9 +86,12 @@ class CQCode:
else:
self.translated_segments = Seg(type="text", data="[图片]")
elif self.type == "at":
user_nickname = get_user_nickname(self.params.get("qq", ""))
self.translated_segments = Seg(
type="text", data=f"[@{user_nickname or '某人'}]"
if self.params.get("qq") == "all":
self.translated_segments = Seg(type="text", data="@[全体成员]")
else:
user_nickname = get_user_nickname(self.params.get("qq", ""))
self.translated_segments = Seg(
type="text", data=f"[@{user_nickname or '某人'}]"
)
elif self.type == "reply":
reply_segments = self.translate_reply()

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@@ -31,7 +31,7 @@ image_manager = ImageManager()
class EmojiManager:
_instance = None
EMOJI_DIR = "data/emoji" # 表情包存储目录
EMOJI_DIR = os.path.join("data", "emoji") # 表情包存储目录
def __new__(cls):
if cls._instance is None:
@@ -217,7 +217,7 @@ class EmojiManager:
async def scan_new_emojis(self):
"""扫描新的表情包"""
try:
emoji_dir = "data/emoji"
emoji_dir = self.EMOJI_DIR
os.makedirs(emoji_dir, exist_ok=True)
# 获取所有支持的图片文件

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@@ -44,18 +44,23 @@ class ImageManager:
"""确保images集合存在并创建索引"""
if "images" not in db.list_collection_names():
db.create_collection("images")
# 创建索引
db.images.create_index([("hash", 1)], unique=True)
db.images.create_index([("url", 1)])
db.images.create_index([("path", 1)])
# 删除旧索引
db.images.drop_indexes()
# 创建新的复合索引
db.images.create_index([("hash", 1), ("type", 1)], unique=True)
db.images.create_index([("url", 1)])
db.images.create_index([("path", 1)])
def _ensure_description_collection(self):
"""确保image_descriptions集合存在并创建索引"""
if "image_descriptions" not in db.list_collection_names():
db.create_collection("image_descriptions")
# 创建索引
db.image_descriptions.create_index([("hash", 1)], unique=True)
db.image_descriptions.create_index([("type", 1)])
# 删除旧索引
db.image_descriptions.drop_indexes()
# 创建新的复合索引
db.image_descriptions.create_index([("hash", 1), ("type", 1)], unique=True)
def _get_description_from_db(self, image_hash: str, description_type: str) -> Optional[str]:
"""从数据库获取图片描述
@@ -78,36 +83,21 @@ class ImageManager:
description: 描述文本
description_type: 描述类型 ('emoji''image')
"""
db.image_descriptions.update_one(
{"hash": image_hash, "type": description_type},
{"$set": {"description": description, "timestamp": int(time.time())}},
upsert=True,
)
async def get_image_by_url(self, url: str) -> Optional[str]:
"""根据URL获取图像路径(带查重)
Args:
url: 图像URL
Returns:
str: 本地文件路径,不存在返回None
"""
try:
# 先查找是否已存在
existing = db.images.find_one({"url": url})
if existing:
return existing["path"]
# 下载图像
async with aiohttp.ClientSession() as session:
async with session.get(url) as resp:
if resp.status == 200:
image_bytes = await resp.read()
return await self.save_image(image_bytes, url=url)
return None
db.image_descriptions.update_one(
{"hash": image_hash, "type": description_type},
{
"$set": {
"description": description,
"timestamp": int(time.time()),
"hash": image_hash, # 确保hash字段存在
"type": description_type, # 确保type字段存在
}
},
upsert=True,
)
except Exception as e:
logger.error(f"获取图像失败: {str(e)}")
return None
logger.error(f"保存描述到数据库失败: {str(e)}")
async def get_emoji_description(self, image_base64: str) -> str:
"""获取表情包描述,带查重和保存功能"""
@@ -129,7 +119,7 @@ class ImageManager:
cached_description = self._get_description_from_db(image_hash, "emoji")
if cached_description:
logger.warning(f"虽然生成了描述,但找到缓存表情包描述: {cached_description}")
logger.warning(f"虽然生成了描述,但找到缓存表情包描述: {cached_description}")
return f"[表情包:{cached_description}]"
# 根据配置决定是否保存图片
@@ -170,7 +160,6 @@ class ImageManager:
async def get_image_description(self, image_base64: str) -> str:
"""获取普通图片描述,带查重和保存功能"""
try:
print("处理图片中")
# 计算图片哈希
image_bytes = base64.b64decode(image_base64)
image_hash = hashlib.md5(image_bytes).hexdigest()
@@ -179,7 +168,7 @@ class ImageManager:
# 查询缓存的描述
cached_description = self._get_description_from_db(image_hash, "image")
if cached_description:
print("图片描述缓存中")
logger.info(f"图片描述缓存中 {cached_description}")
return f"[图片:{cached_description}]"
# 调用AI获取描述
@@ -187,12 +176,13 @@ class ImageManager:
"请用中文描述这张图片的内容。如果有文字请把文字都描述出来。并尝试猜测这个图片的含义。最多200个字。"
)
description, _ = await self._llm.generate_response_for_image(prompt, image_base64, image_format)
cached_description = self._get_description_from_db(image_hash, "emoji")
cached_description = self._get_description_from_db(image_hash, "image")
if cached_description:
logger.info(f"缓存图片描述: {cached_description}")
logger.warning(f"虽然生成了描述,但是找到缓存图片描述 {cached_description}")
return f"[图片:{cached_description}]"
print(f"描述是{description}")
logger.info(f"描述是{description}")
if description is None:
logger.warning("AI未能生成图片描述")

View File

@@ -5,14 +5,16 @@ from .relationship_manager import relationship_manager
def get_user_nickname(user_id: int) -> str:
if int(user_id) == int(global_config.BOT_QQ):
return global_config.BOT_NICKNAME
# print(user_id)
# print(user_id)
return relationship_manager.get_name(user_id)
def get_user_cardname(user_id: int) -> str:
if int(user_id) == int(global_config.BOT_QQ):
return global_config.BOT_NICKNAME
# print(user_id)
return ''
# print(user_id)
return ""
def get_groupname(group_id: int) -> str:
return f"{group_id}"
return f"{group_id}"

View File

@@ -1,109 +1,259 @@
import asyncio
import random
import time
from typing import Dict
from loguru import logger
from .config import global_config
from .chat_stream import ChatStream
from loguru import logger
class WillingManager:
def __init__(self):
self.chat_reply_willing: Dict[str, float] = {} # 存储每个聊天流的回复意愿
self.chat_high_willing_mode: Dict[str, bool] = {} # 存储每个聊天流是否处于高回复意愿期
self.chat_msg_count: Dict[str, int] = {} # 存储每个聊天流接收到的消息数量
self.chat_last_mode_change: Dict[str, float] = {} # 存储每个聊天流上次模式切换的时间
self.chat_high_willing_duration: Dict[str, int] = {} # 高意愿期持续时间(秒)
self.chat_low_willing_duration: Dict[str, int] = {} # 低意愿期持续时间(秒)
self.chat_last_reply_time: Dict[str, float] = {} # 存储每个聊天流上次回复的时间
self.chat_last_sender_id: Dict[str, str] = {} # 存储每个聊天流上次回复的用户ID
self.chat_conversation_context: Dict[str, bool] = {} # 标记是否处于对话上下文中
self._decay_task = None
self._mode_switch_task = None
self._started = False
async def _decay_reply_willing(self):
"""定期衰减回复意愿"""
while True:
await asyncio.sleep(5)
for chat_id in self.chat_reply_willing:
self.chat_reply_willing[chat_id] = max(0, self.chat_reply_willing[chat_id] * 0.6)
is_high_mode = self.chat_high_willing_mode.get(chat_id, False)
if is_high_mode:
# 高回复意愿期内轻微衰减
self.chat_reply_willing[chat_id] = max(0.5, self.chat_reply_willing[chat_id] * 0.95)
else:
# 低回复意愿期内正常衰减
self.chat_reply_willing[chat_id] = max(0, self.chat_reply_willing[chat_id] * 0.8)
async def _mode_switch_check(self):
"""定期检查是否需要切换回复意愿模式"""
while True:
current_time = time.time()
await asyncio.sleep(10) # 每10秒检查一次
for chat_id in self.chat_high_willing_mode:
last_change_time = self.chat_last_mode_change.get(chat_id, 0)
is_high_mode = self.chat_high_willing_mode.get(chat_id, False)
# 获取当前模式的持续时间
duration = 0
if is_high_mode:
duration = self.chat_high_willing_duration.get(chat_id, 180) # 默认3分钟
else:
duration = self.chat_low_willing_duration.get(chat_id, random.randint(300, 1200)) # 默认5-20分钟
# 检查是否需要切换模式
if current_time - last_change_time > duration:
self._switch_willing_mode(chat_id)
elif not is_high_mode and random.random() < 0.1:
# 低回复意愿期有10%概率随机切换到高回复期
self._switch_willing_mode(chat_id)
# 检查对话上下文状态是否需要重置
last_reply_time = self.chat_last_reply_time.get(chat_id, 0)
if current_time - last_reply_time > 300: # 5分钟无交互重置对话上下文
self.chat_conversation_context[chat_id] = False
def _switch_willing_mode(self, chat_id: str):
"""切换聊天流的回复意愿模式"""
is_high_mode = self.chat_high_willing_mode.get(chat_id, False)
if is_high_mode:
# 从高回复期切换到低回复期
self.chat_high_willing_mode[chat_id] = False
self.chat_reply_willing[chat_id] = 0.1 # 设置为最低回复意愿
self.chat_low_willing_duration[chat_id] = random.randint(600, 1200) # 10-20分钟
logger.debug(f"聊天流 {chat_id} 切换到低回复意愿期,持续 {self.chat_low_willing_duration[chat_id]}")
else:
# 从低回复期切换到高回复期
self.chat_high_willing_mode[chat_id] = True
self.chat_reply_willing[chat_id] = 1.0 # 设置为较高回复意愿
self.chat_high_willing_duration[chat_id] = random.randint(180, 240) # 3-4分钟
logger.debug(f"聊天流 {chat_id} 切换到高回复意愿期,持续 {self.chat_high_willing_duration[chat_id]}")
self.chat_last_mode_change[chat_id] = time.time()
self.chat_msg_count[chat_id] = 0 # 重置消息计数
def get_willing(self, chat_stream: ChatStream) -> float:
"""获取指定聊天流的回复意愿"""
stream = chat_stream
if stream:
return self.chat_reply_willing.get(stream.stream_id, 0)
return 0
def set_willing(self, chat_id: str, willing: float):
"""设置指定聊天流的回复意愿"""
self.chat_reply_willing[chat_id] = willing
async def change_reply_willing_received(
self,
chat_stream: ChatStream,
topic: str = None,
is_mentioned_bot: bool = False,
config=None,
is_emoji: bool = False,
interested_rate: float = 0,
) -> float:
def _ensure_chat_initialized(self, chat_id: str):
"""确保聊天流的所有数据已初始化"""
if chat_id not in self.chat_reply_willing:
self.chat_reply_willing[chat_id] = 0.1
if chat_id not in self.chat_high_willing_mode:
self.chat_high_willing_mode[chat_id] = False
self.chat_last_mode_change[chat_id] = time.time()
self.chat_low_willing_duration[chat_id] = random.randint(300, 1200) # 5-20分钟
if chat_id not in self.chat_msg_count:
self.chat_msg_count[chat_id] = 0
if chat_id not in self.chat_conversation_context:
self.chat_conversation_context[chat_id] = False
async def change_reply_willing_received(self,
chat_stream: ChatStream,
topic: str = None,
is_mentioned_bot: bool = False,
config = None,
is_emoji: bool = False,
interested_rate: float = 0,
sender_id: str = None) -> float:
"""改变指定聊天流的回复意愿并返回回复概率"""
# 获取或创建聊天流
stream = chat_stream
chat_id = stream.stream_id
current_time = time.time()
self._ensure_chat_initialized(chat_id)
# 增加消息计数
self.chat_msg_count[chat_id] = self.chat_msg_count.get(chat_id, 0) + 1
current_willing = self.chat_reply_willing.get(chat_id, 0)
if is_mentioned_bot and current_willing < 1.0:
current_willing += 0.9
is_high_mode = self.chat_high_willing_mode.get(chat_id, False)
msg_count = self.chat_msg_count.get(chat_id, 0)
in_conversation_context = self.chat_conversation_context.get(chat_id, False)
# 检查是否是对话上下文中的追问
last_reply_time = self.chat_last_reply_time.get(chat_id, 0)
last_sender = self.chat_last_sender_id.get(chat_id, "")
is_follow_up_question = False
# 如果是同一个人在短时间内2分钟内发送消息且消息数量较少<=5条视为追问
if sender_id and sender_id == last_sender and current_time - last_reply_time < 120 and msg_count <= 5:
is_follow_up_question = True
in_conversation_context = True
self.chat_conversation_context[chat_id] = True
logger.debug(f"检测到追问 (同一用户), 提高回复意愿")
current_willing += 0.3
# 特殊情况处理
if is_mentioned_bot:
current_willing += 0.5
in_conversation_context = True
self.chat_conversation_context[chat_id] = True
logger.debug(f"被提及, 当前意愿: {current_willing}")
elif is_mentioned_bot:
current_willing += 0.05
logger.debug(f"被重复提及, 当前意愿: {current_willing}")
if is_emoji:
current_willing *= 0.1
logger.debug(f"表情包, 当前意愿: {current_willing}")
logger.debug(f"放大系数_interested_rate: {global_config.response_interested_rate_amplifier}")
interested_rate *= global_config.response_interested_rate_amplifier # 放大回复兴趣度
if interested_rate > 0.4:
# print(f"兴趣度: {interested_rate}, 当前意愿: {current_willing}")
current_willing += interested_rate - 0.4
current_willing *= global_config.response_willing_amplifier # 放大回复意愿
# print(f"放大系数_willing: {global_config.response_willing_amplifier}, 当前意愿: {current_willing}")
reply_probability = max((current_willing - 0.45) * 2, 0)
# 根据话题兴趣度适当调整
if interested_rate > 0.5:
current_willing += (interested_rate - 0.5) * 0.5
# 根据当前模式计算回复概率
base_probability = 0.0
if in_conversation_context:
# 在对话上下文中,降低基础回复概率
base_probability = 0.5 if is_high_mode else 0.25
logger.debug(f"处于对话上下文中,基础回复概率: {base_probability}")
elif is_high_mode:
# 高回复周期4-8句话有50%的概率会回复一次
base_probability = 0.50 if 4 <= msg_count <= 8 else 0.2
else:
# 低回复周期需要最少15句才有30%的概率会回一句
base_probability = 0.30 if msg_count >= 15 else 0.03 * min(msg_count, 10)
# 考虑回复意愿的影响
reply_probability = base_probability * current_willing
# 检查群组权限(如果是群聊)
if chat_stream.group_info:
if chat_stream.group_info and config:
if chat_stream.group_info.group_id in config.talk_frequency_down_groups:
reply_probability = reply_probability / global_config.down_frequency_rate
reply_probability = min(reply_probability, 1)
# 限制最大回复概率
reply_probability = min(reply_probability, 0.75) # 设置最大回复概率为75%
if reply_probability < 0:
reply_probability = 0
# 记录当前发送者ID以便后续追踪
if sender_id:
self.chat_last_sender_id[chat_id] = sender_id
self.chat_reply_willing[chat_id] = min(current_willing, 3.0)
return reply_probability
def change_reply_willing_sent(self, chat_stream: ChatStream):
"""开始思考后降低聊天流的回复意愿"""
stream = chat_stream
if stream:
current_willing = self.chat_reply_willing.get(stream.stream_id, 0)
self.chat_reply_willing[stream.stream_id] = max(0, current_willing - 2)
def change_reply_willing_after_sent(self, chat_stream: ChatStream):
"""发送消息后提高聊天流的回复意愿"""
chat_id = stream.stream_id
self._ensure_chat_initialized(chat_id)
is_high_mode = self.chat_high_willing_mode.get(chat_id, False)
current_willing = self.chat_reply_willing.get(chat_id, 0)
# 回复后减少回复意愿
self.chat_reply_willing[chat_id] = max(0, current_willing - 0.3)
# 标记为对话上下文中
self.chat_conversation_context[chat_id] = True
# 记录最后回复时间
self.chat_last_reply_time[chat_id] = time.time()
# 重置消息计数
self.chat_msg_count[chat_id] = 0
def change_reply_willing_not_sent(self, chat_stream: ChatStream):
"""决定不回复后提高聊天流的回复意愿"""
stream = chat_stream
if stream:
current_willing = self.chat_reply_willing.get(stream.stream_id, 0)
if current_willing < 1:
self.chat_reply_willing[stream.stream_id] = min(1, current_willing + 0.2)
chat_id = stream.stream_id
self._ensure_chat_initialized(chat_id)
is_high_mode = self.chat_high_willing_mode.get(chat_id, False)
current_willing = self.chat_reply_willing.get(chat_id, 0)
in_conversation_context = self.chat_conversation_context.get(chat_id, False)
# 根据当前模式调整不回复后的意愿增加
if is_high_mode:
willing_increase = 0.1
elif in_conversation_context:
# 在对话上下文中但决定不回复,小幅增加回复意愿
willing_increase = 0.15
else:
willing_increase = random.uniform(0.05, 0.1)
self.chat_reply_willing[chat_id] = min(2.0, current_willing + willing_increase)
def change_reply_willing_after_sent(self, chat_stream: ChatStream):
"""发送消息后提高聊天流的回复意愿"""
# 由于已经在sent中处理这个方法保留但不再需要额外调整
pass
async def ensure_started(self):
"""确保衰减任务已启动"""
"""确保所有任务已启动"""
if not self._started:
if self._decay_task is None:
self._decay_task = asyncio.create_task(self._decay_reply_willing())
if self._mode_switch_task is None:
self._mode_switch_task = asyncio.create_task(self._mode_switch_check())
self._started = True
# 创建全局实例
willing_manager = WillingManager()
willing_manager = WillingManager()

View File

@@ -14,7 +14,10 @@ from ..models.utils_model import LLM_request
driver = get_driver()
config = driver.config
class ScheduleGenerator:
enable_output: bool = True
def __init__(self):
# 根据global_config.llm_normal这一字典配置指定模型
# self.llm_scheduler = LLMModel(model = global_config.llm_normal,temperature=0.9)
@@ -32,14 +35,16 @@ class ScheduleGenerator:
yesterday = datetime.datetime.now() - datetime.timedelta(days=1)
self.today_schedule_text, self.today_schedule = await self.generate_daily_schedule(target_date=today)
self.tomorrow_schedule_text, self.tomorrow_schedule = await self.generate_daily_schedule(target_date=tomorrow,
read_only=True)
self.tomorrow_schedule_text, self.tomorrow_schedule = await self.generate_daily_schedule(
target_date=tomorrow, read_only=True
)
self.yesterday_schedule_text, self.yesterday_schedule = await self.generate_daily_schedule(
target_date=yesterday, read_only=True)
async def generate_daily_schedule(self, target_date: datetime.datetime = None, read_only: bool = False) -> Dict[
str, str]:
target_date=yesterday, read_only=True
)
async def generate_daily_schedule(
self, target_date: datetime.datetime = None, read_only: bool = False
) -> Dict[str, str]:
date_str = target_date.strftime("%Y-%m-%d")
weekday = target_date.strftime("%A")
@@ -47,28 +52,33 @@ class ScheduleGenerator:
existing_schedule = db.schedule.find_one({"date": date_str})
if existing_schedule:
logger.debug(f"{date_str}的日程已存在:")
if self.enable_output:
logger.debug(f"{date_str}的日程已存在:")
schedule_text = existing_schedule["schedule"]
# print(self.schedule_text)
elif not read_only:
logger.debug(f"{date_str}的日程不存在,准备生成新的日程。")
prompt = f"""我是{global_config.BOT_NICKNAME}{global_config.PROMPT_SCHEDULE_GEN},请为我生成{date_str}{weekday})的日程安排,包括:""" + \
"""
prompt = (
f"""我是{global_config.BOT_NICKNAME}{global_config.PROMPT_SCHEDULE_GEN},请为我生成{date_str}{weekday})的日程安排,包括:"""
+ """
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)
db.schedule.insert_one({"date": date_str, "schedule": schedule_text})
self.enable_output = True
except Exception as e:
logger.error(f"生成日程失败: {str(e)}")
schedule_text = "生成日程时出错了"
# print(self.schedule_text)
else:
logger.debug(f"{date_str}的日程不存在。")
if self.enable_output:
logger.debug(f"{date_str}的日程不存在。")
schedule_text = "忘了"
return schedule_text, None
@@ -95,7 +105,7 @@ class ScheduleGenerator:
# 找到最接近当前时间的任务
closest_time = None
min_diff = float('inf')
min_diff = float("inf")
# 检查今天的日程
if not self.today_schedule:
@@ -148,6 +158,7 @@ class ScheduleGenerator:
for time_str, activity in self.today_schedule.items():
logger.info(f"时间[{time_str}]: 活动[{activity}]")
logger.info("==================")
self.enable_output = False
# def main():