fix: gocq logging

attribute origin

.github/workflows/docker-image.yml

@@ -0,0 +1,23 @@
+name: Docker Image CI/CD
+
+on:
+  release:
+    types: [published]
+  workflow_dispatch:
+jobs:
+  publish-latest-docker-image:
+    runs-on: ubuntu-latest
+    name: Build and publish docker image
+
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v2
+      - name: Build image
+        run: |
+          git clone https://github.com/Soulter/AstrBot
+          cd AstrBot
+          docker build -t ${{ secrets.DOCKER_HUB_USERNAME }}/astrbot:latest .
+      - name: Publish image
+        run: |
+          docker login -u ${{ secrets.DOCKER_HUB_USERNAME }} -p ${{ secrets.DOCKER_HUB_PASSWORD }}
+          docker push ${{ secrets.DOCKER_HUB_USERNAME }}/astrbot:latest

.github/workflows/stale.yml

@@ -0,0 +1,27 @@
+# This workflow warns and then closes issues and PRs that have had no activity for a specified amount of time.
+#
+# You can adjust the behavior by modifying this file.
+# For more information, see:
+# https://github.com/actions/stale
+name: Mark stale issues and pull requests
+
+on:
+  schedule:
+  - cron: '21 23 * * *'
+
+jobs:
+  stale:
+
+    runs-on: ubuntu-latest
+    permissions:
+      issues: write
+      pull-requests: write
+
+    steps:
+    - uses: actions/stale@v5
+      with:
+        repo-token: ${{ secrets.GITHUB_TOKEN }}
+        stale-issue-message: 'Stale issue message'
+        stale-pr-message: 'Stale pull request message'
+        stale-issue-label: 'no-issue-activity'
+        stale-pr-label: 'no-pr-activity'

.gitignore

@@ -0,0 +1,12 @@
+__pycache__
+botpy.log
+.vscode
+data.db
+configs/session
+configs/config.yaml
+**/.DS_Store
+temp
+cmd_config.json
+addons/plugins/
+data/*
+cookies.json

.vscode/settings.json

@@ -1,3 +0,0 @@
-{
-    "python.analysis.typeCheckingMode": "basic"
-}

CODE_OF_CONDUCT.md

@@ -0,0 +1,128 @@
+# Contributor Covenant Code of Conduct
+
+## Our Pledge
+
+We as members, contributors, and leaders pledge to make participation in our
+community a harassment-free experience for everyone, regardless of age, body
+size, visible or invisible disability, ethnicity, sex characteristics, gender
+identity and expression, level of experience, education, socio-economic status,
+nationality, personal appearance, race, religion, or sexual identity
+and orientation.
+
+We pledge to act and interact in ways that contribute to an open, welcoming,
+diverse, inclusive, and healthy community.
+
+## Our Standards
+
+Examples of behavior that contributes to a positive environment for our
+community include:
+
+* Demonstrating empathy and kindness toward other people
+* Being respectful of differing opinions, viewpoints, and experiences
+* Giving and gracefully accepting constructive feedback
+* Accepting responsibility and apologizing to those affected by our mistakes,
+  and learning from the experience
+* Focusing on what is best not just for us as individuals, but for the
+  overall community
+
+Examples of unacceptable behavior include:
+
+* The use of sexualized language or imagery, and sexual attention or
+  advances of any kind
+* Trolling, insulting or derogatory comments, and personal or political attacks
+* Public or private harassment
+* Publishing others' private information, such as a physical or email
+  address, without their explicit permission
+* Other conduct which could reasonably be considered inappropriate in a
+  professional setting
+
+## Enforcement Responsibilities
+
+Community leaders are responsible for clarifying and enforcing our standards of
+acceptable behavior and will take appropriate and fair corrective action in
+response to any behavior that they deem inappropriate, threatening, offensive,
+or harmful.
+
+Community leaders have the right and responsibility to remove, edit, or reject
+comments, commits, code, wiki edits, issues, and other contributions that are
+not aligned to this Code of Conduct, and will communicate reasons for moderation
+decisions when appropriate.
+
+## Scope
+
+This Code of Conduct applies within all community spaces, and also applies when
+an individual is officially representing the community in public spaces.
+Examples of representing our community include using an official e-mail address,
+posting via an official social media account, or acting as an appointed
+representative at an online or offline event.
+
+## Enforcement
+
+Instances of abusive, harassing, or otherwise unacceptable behavior may be
+reported to the community leaders responsible for enforcement at
+SoulterL@outlook.com.
+All complaints will be reviewed and investigated promptly and fairly.
+
+All community leaders are obligated to respect the privacy and security of the
+reporter of any incident.
+
+## Enforcement Guidelines
+
+Community leaders will follow these Community Impact Guidelines in determining
+the consequences for any action they deem in violation of this Code of Conduct:
+
+### 1. Correction
+
+**Community Impact**: Use of inappropriate language or other behavior deemed
+unprofessional or unwelcome in the community.
+
+**Consequence**: A private, written warning from community leaders, providing
+clarity around the nature of the violation and an explanation of why the
+behavior was inappropriate. A public apology may be requested.
+
+### 2. Warning
+
+**Community Impact**: A violation through a single incident or series
+of actions.
+
+**Consequence**: A warning with consequences for continued behavior. No
+interaction with the people involved, including unsolicited interaction with
+those enforcing the Code of Conduct, for a specified period of time. This
+includes avoiding interactions in community spaces as well as external channels
+like social media. Violating these terms may lead to a temporary or
+permanent ban.
+
+### 3. Temporary Ban
+
+**Community Impact**: A serious violation of community standards, including
+sustained inappropriate behavior.
+
+**Consequence**: A temporary ban from any sort of interaction or public
+communication with the community for a specified period of time. No public or
+private interaction with the people involved, including unsolicited interaction
+with those enforcing the Code of Conduct, is allowed during this period.
+Violating these terms may lead to a permanent ban.
+
+### 4. Permanent Ban
+
+**Community Impact**: Demonstrating a pattern of violation of community
+standards, including sustained inappropriate behavior,  harassment of an
+individual, or aggression toward or disparagement of classes of individuals.
+
+**Consequence**: A permanent ban from any sort of public interaction within
+the community.
+
+## Attribution
+
+This Code of Conduct is adapted from the [Contributor Covenant][homepage],
+version 2.0, available at
+https://www.contributor-covenant.org/version/2/0/code_of_conduct.html.
+
+Community Impact Guidelines were inspired by [Mozilla's code of conduct
+enforcement ladder](https://github.com/mozilla/diversity).
+
+[homepage]: https://www.contributor-covenant.org
+
+For answers to common questions about this code of conduct, see the FAQ at
+https://www.contributor-covenant.org/faq. Translations are available at
+https://www.contributor-covenant.org/translations.

Dockerfile

@@ -0,0 +1,8 @@
+FROM python:3.10.13-bullseye
+WORKDIR /AstrBot
+
+COPY . /AstrBot/
+
+RUN python -m pip install -r requirements.txt
+
+CMD [ "python", "main.py" ]

README.md

@@ -1,19 +1,70 @@
-<div align="center">
- 
-![QQChannelChatGPT](https://socialify.git.ci/Soulter/QQChannelChatGPT/image?description=1&font=Inter&forks=1&issues=1&language=1&name=1&logo=https%3A%2F%2Fgithub.com%2Ftencent-connect%2Fbot-docs%2Fblob%2Fmain%2Fdocs%2F.vuepress%2Fpublic%2Ffavicon-64px.png%3Fraw%3Dtrue&owner=1&pattern=Plus&stargazers=1&theme=Light)
+<p align="center">
 
+<img src="https://github.com/Soulter/AstrBot/assets/37870767/b1686114-f3aa-4963-b07f-28bf83dc0a10" alt="QQChannelChatGPT" width="200" />
+</p>
+<div align="center">
+
+# AstrBot
+
+[![GitHub release (latest by date)](https://img.shields.io/github/v/release/Soulter/AstrBot)](https://github.com/Soulter/AstrBot/releases/latest)
+<img src="https://wakatime.com/badge/user/915e5316-99c6-4563-a483-ef186cf000c9/project/34412545-2e37-400f-bedc-42348713ac1f.svg" alt="wakatime">
+<img src="https://img.shields.io/badge/python-3.9+-blue.svg" alt="python">
+<a href="https://hub.docker.com/r/soulter/astrbot"><img alt="Docker pull" src="https://img.shields.io/docker/pulls/soulter/astrbot.svg"/></a>
+<a href="https://qm.qq.com/cgi-bin/qm/qr?k=EYGsuUTfe00_iOu9JTXS7_TEpMkXOvwv&jump_from=webapi&authKey=uUEMKCROfsseS+8IzqPjzV3y1tzy4AkykwTib2jNkOFdzezF9s9XknqnIaf3CDft">
+<img alt="Static Badge" src="https://img.shields.io/badge/QQ群-322154837-purple">
+</a>
+<img alt="Static Badge" src="https://img.shields.io/badge/频道-x42d56aki2-purple">
+
+<a href="https://astrbot.soulter.top/center">项目部署</a> ｜
+<a href="https://github.com/Soulter/QQChannelChatGPT/issues">问题提交</a> ｜
+<a href="https://astrbot.soulter.top/center/docs/%E5%BC%80%E5%8F%91/%E6%8F%92%E4%BB%B6%E5%BC%80%E5%8F%91">插件开发（最少只需 25 行）</a>
 </div>
 
-## ⭐体验
-扫码加入QQ频道
+## 🤔您可能想了解的
+- **如何部署？** [帮助文档](https://astrbot.soulter.top/center/docs/%E9%83%A8%E7%BD%B2/%E9%80%9A%E8%BF%87Docker%E9%83%A8%E7%BD%B2) (部署不成功欢迎进群捞人解决<3)
+- **go-cqhttp启动不成功、报登录失败？** [在这里搜索解决方法](https://github.com/Mrs4s/go-cqhttp/issues)
+- **程序闪退/机器人启动不成功？** [提交issue或加群反馈](https://github.com/Soulter/QQChannelChatGPT/issues)
+- **如何开启 ChatGPT、Claude、HuggingChat 等语言模型？** [查看帮助](https://astrbot.soulter.top/center/docs/%E4%BD%BF%E7%94%A8/%E5%A4%A7%E8%AF%AD%E8%A8%80%E6%A8%A1%E5%9E%8B)
 
-![image](https://user-images.githubusercontent.com/37870767/210030647-c4c00f31-8ccc-4bd2-835a-b5af9ab31496.png)
+## 🧩功能：
 
-欢迎Star本项目
- 
+✨ 最近功能：
+1. 可视化面板
+2. Docker 一键部署项目：[链接](https://astrbot.soulter.top/center/docs/%E9%83%A8%E7%BD%B2/%E9%80%9A%E8%BF%87Docker%E9%83%A8%E7%BD%B2)
 
-## ⭐功能：
+🌍支持的消息平台/接口
+- go-cqhttp（QQ、QQ频道）
+- QQ 官方机器人接口
+- Telegram（由 [astrbot_plugin_telegram](https://github.com/Soulter/astrbot_plugin_telegram) 插件支持）
 
+🌍支持的AI语言模型一览：
+
+**文字模型/图片理解**
+
+- OpenAI GPT-3（原生支持）
+- OpenAI GPT-3.5（原生支持）
+- OpenAI GPT-4（原生支持）
+- Claude（免费，由[LLMs插件](https://github.com/Soulter/llms)支持）
+- HuggingChat（免费，由[LLMs插件](https://github.com/Soulter/llms)支持）
+- Gemini（免费，由[LLMs插件](https://github.com/Soulter/llms)支持）
+
+**图片生成**
+- OpenAI Dalle 接口
+- NovelAI/Naifu (免费，由[AIDraw插件](https://github.com/Soulter/aidraw)支持)
+
+🌍机器人支持的能力一览：
+- 可视化面板（beta）
+- 同时部署机器人到 QQ 和 QQ 频道
+- 大模型对话
+- 大模型网页搜索能力 **(目前仅支持OpenAI系模型，最新版本下使用 web on 指令打开)**
+- 插件（在QQ或QQ频道聊天框内输入 `plugin` 了解详情）
+- 回复文字图片渲染（以图片markdown格式回复，**大幅度降低被风控概率**，需手动在`cmd_config.json`内开启qq_pic_mode）
+- 人格设置
+- 关键词回复
+- 热更新（更新本项目时**仅需**在QQ或QQ频道聊天框内输入`update latest r`）
+- Windows一键部署 https://github.com/Soulter/QQChatGPTLauncher/releases/latest
+
+<!-- 
 ### 基本功能
 <details> 
  <summary>✅ 回复符合上下文</summary>
@@ -55,7 +106,7 @@
  </details>
 
 <details> 
- <summary>✅ 支持指令控制</summary> 
+ <summary>✅ 支持多种指令控制</summary> 
   
    -  详见下方`指令功能`
   
@@ -68,41 +119,62 @@
 
    -  QQ频道机器人框架为QQ官方开源的框架，稳定。
 
-</details>
+</details> -->
 
-> 关于token：token就相当于是AI中的单词数（但是不等于单词数），`text-davinci-003`模型中最大可以支持`4097`个token。在发送信息时，这个机器人会将用户的历史聊天记录打包发送给ChatGPT，因此，`token`也会相应的累加，为了保证聊天的上下文的逻辑性，就有了缓存token。
-### 指令功能
-需要先`@`机器人之后再输入指令
+<!-- > 关于token：token就相当于是AI中的单词数（但是不等于单词数），`text-davinci-003`模型中最大可以支持`4097`个token。在发送信息时，这个机器人会将用户的历史聊天记录打包发送给ChatGPT，因此，`token`也会相应的累加，为了保证聊天的上下文的逻辑性，就有了缓存token。 -->
+
+### 🛠️ 插件支持
+
+本项目支持接入插件。
+
+> 使用`plugin i 插件GitHub链接`即可安装。
+
+部分插件：
+
+- `LLMS`: https://github.com/Soulter/llms | Claude, HuggingChat 大语言模型接入。
+ 
+- `GoodPlugins`: https://github.com/Soulter/goodplugins | 随机动漫图片、搜番、喜报生成器等等
+
+- `sysstat`: https://github.com/Soulter/sysstatqcbot | 查看系统状态
+
+- `BiliMonitor`: https://github.com/Soulter/BiliMonitor | 订阅B站动态
+  
+- `liferestart`: https://github.com/Soulter/liferestart | 人生重开模拟器
+
+
+<img width="900" alt="image" src="https://github.com/Soulter/AstrBot/assets/37870767/824d1ff3-7b85-481c-b795-8e62dedb9fd7">
+
+
+<!-- 
+### 指令
+
+#### OpenAI官方API
+在频道内需要先`@`机器人之后再输入指令；在QQ中暂时需要在消息前加上`ai `，不需要@
 - `/reset`重置prompt
 - `/his`查看历史记录（每个用户都有独立的会话）
 - `/his [页码数]`查看不同页码的历史记录。例如`/his 2`查看第2页
 - `/token`查看当前缓存的总token数
 - `/count` 查看统计
 - `/status` 查看chatGPT的配置
+- `/help` 查看帮助
+- `/key` 动态添加key
+- `/set` 人格设置面板
+- `/keyword nihao 你好` 设置关键词回复。nihao->你好
+- `/画` 画画
 
-## 📰使用方法：
+#### 逆向ChatGPT库语言模型
+- `/gpt` 切换为OpenAI官方API
 
-### 安装第三方库
+* 切换模型指令支持临时回复。如`/a 你好`将会临时使用一次bing模型 -->
+<!--
+## 🙇‍感谢
 
-使用Python的pip工具安装
-- `qq-botpy` （QQ频道官方Python SDK）
-- `openai` (OpenAI 库)
+本项目使用了一下项目:
 
-> ⚠注意，由于qq-botpy需要运行在`Python 3.8+`的版本上，因此本项目也需要在此之上运行
+[ChatGPT by acheong08](https://github.com/acheong08/ChatGPT)
 
-### 配置
+[EdgeGPT by acheong08](https://github.com/acheong08/EdgeGPT)
 
-- 获得 OpenAI的key [OpenAI](https://beta.openai.com/)
-- 获得 QQ开放平台下QQ频道机器人的token和appid [QQ开放平台](https://q.qq.com/)，一个QQ频道机器人（很容易创建~）
-- 在configs/config.yaml下进行配置
+[go-cqhttp by Mrs4s](https://github.com/Mrs4s/go-cqhttp)
 
-### 启动
-- 启动main.py
-
-## 赞助
-⭐[爱发电](https://afdian.net/a/soulter)⭐
-
-## DEMO
-![1.jpg](screenshots/1.jpg)
-![3.jpg](screenshots/3.jpg)
-![2.jpg](screenshots/2.jpg)
+[nakuru-project by Lxns-Network](https://github.com/Lxns-Network/nakuru-project) -->

addons/baidu_aip_judge.py

@@ -0,0 +1,29 @@
+from aip import AipContentCensor
+
+
+class BaiduJudge:
+    def __init__(self, baidu_configs) -> None:
+        if 'app_id' in baidu_configs and 'api_key' in baidu_configs and 'secret_key' in baidu_configs:
+            self.app_id = str(baidu_configs['app_id'])
+            self.api_key = baidu_configs['api_key']
+            self.secret_key = baidu_configs['secret_key']
+            self.client = AipContentCensor(
+                self.app_id, self.api_key, self.secret_key)
+        else:
+            raise ValueError("Baidu configs error! 请填写百度内容审核服务相关配置！")
+
+    def judge(self, text):
+        res = self.client.textCensorUserDefined(text)
+        if 'conclusionType' not in res:
+            return False, "百度审核服务未知错误"
+        if res['conclusionType'] == 1:
+            return True, "合规"
+        else:
+            if 'data' not in res:
+                return False, "百度审核服务未知错误"
+            count = len(res['data'])
+            info = f"百度审核服务发现 {count} 处违规：\n"
+            for i in res['data']:
+                info += f"{i['msg']}；\n"
+            info += "\n判断结果："+res['conclusion']
+            return False, info

addons/dashboard/dist/_redirects

@@ -0,0 +1 @@
+/*    /index.html   200

addons/dashboard/dist/assets/BaseBreadcrumb-4d676ba5.css

@@ -0,0 +1 @@
+.page-breadcrumb .v-toolbar{background:transparent}

addons/dashboard/dist/assets/BaseBreadcrumb.vue_vue_type_style_index_0_lang-e31f96f8.js

@@ -0,0 +1 @@
+import{x as i,o as l,c as _,w as s,a as e,f as a,J as m,V as c,b as t,t as u,ad as p,B as n,ae as o,j as f}from"./index-dc96e1be.js";const b={class:"text-h3"},h={class:"d-flex align-center"},g={class:"d-flex align-center"},V=i({__name:"BaseBreadcrumb",props:{title:String,breadcrumbs:Array,icon:String},setup(d){const r=d;return(x,B)=>(l(),_(c,{class:"page-breadcrumb mb-1 mt-1"},{default:s(()=>[e(a,{cols:"12",md:"12"},{default:s(()=>[e(m,{variant:"outlined",elevation:"0",class:"px-4 py-3 withbg"},{default:s(()=>[e(c,{"no-gutters":"",class:"align-center"},{default:s(()=>[e(a,{md:"5"},{default:s(()=>[t("h3",b,u(r.title),1)]),_:1}),e(a,{md:"7",sm:"12",cols:"12"},{default:s(()=>[e(p,{items:r.breadcrumbs,class:"text-h5 justify-md-end pa-1"},{divider:s(()=>[t("div",h,[e(n(o),{size:"17"})])]),prepend:s(()=>[e(f,{size:"small",icon:"mdi-home",class:"text-secondary mr-2"}),t("div",g,[e(n(o),{size:"17"})])]),_:1},8,["items"])]),_:1})]),_:1})]),_:1})]),_:1})]),_:1}))}});export{V as _};

addons/dashboard/dist/assets/BlankLayout-1694b31c.js

@@ -0,0 +1 @@
+import{x as e,o as a,c as t,w as o,a as s,B as n,Z as r,W as c}from"./index-dc96e1be.js";const f=e({__name:"BlankLayout",setup(p){return(u,_)=>(a(),t(c,null,{default:o(()=>[s(n(r))]),_:1}))}});export{f as default};

addons/dashboard/dist/assets/ColorPage-757221a5.js

@@ -0,0 +1 @@
+import{_ as m}from"./BaseBreadcrumb.vue_vue_type_style_index_0_lang-e31f96f8.js";import{_}from"./UiParentCard.vue_vue_type_script_setup_true_lang-f2b2db58.js";import{x as p,D as a,o as r,s,a as e,w as t,f as o,V as i,F as n,u as g,c as h,a0 as b,e as x,t as y}from"./index-dc96e1be.js";const P=p({__name:"ColorPage",setup(C){const c=a({title:"Colors Page"}),d=a([{title:"Utilities",disabled:!1,href:"#"},{title:"Colors",disabled:!0,href:"#"}]),u=a(["primary","lightprimary","secondary","lightsecondary","info","success","accent","warning","error","darkText","lightText","borderLight","inputBorder","containerBg"]);return(V,k)=>(r(),s(n,null,[e(m,{title:c.value.title,breadcrumbs:d.value},null,8,["title","breadcrumbs"]),e(i,null,{default:t(()=>[e(o,{cols:"12",md:"12"},{default:t(()=>[e(_,{title:"Color Palette"},{default:t(()=>[e(i,null,{default:t(()=>[(r(!0),s(n,null,g(u.value,(l,f)=>(r(),h(o,{md:"3",cols:"12",key:f},{default:t(()=>[e(b,{rounded:"md",class:"align-center justify-center d-flex",height:"100",width:"100%",color:l},{default:t(()=>[x("class: "+y(l),1)]),_:2},1032,["color"])]),_:2},1024))),128))]),_:1})]),_:1})]),_:1})]),_:1})],64))}});export{P as default};

addons/dashboard/dist/assets/ConfigDetailCard-8467c848.js

@@ -0,0 +1 @@
+import{o as l,s as o,u as c,c as n,w as u,Q as g,b as s,R as k,F as t,ab as h,O as p,t as m,a as V,ac as f,i as C,q as x,k as v,A as U}from"./index-dc96e1be.js";import{_ as w}from"./UiParentCard.vue_vue_type_script_setup_true_lang-f2b2db58.js";const S={__name:"ConfigDetailCard",props:{config:Array},setup(d){return(y,B)=>(l(!0),o(t,null,c(d.config,r=>(l(),n(w,{key:r.name,title:r.name,style:{"margin-bottom":"16px"}},{default:u(()=>[g(s("a",null,"No data",512),[[k,d.config.length===0]]),(l(!0),o(t,null,c(r.body,e=>(l(),o(t,null,[e.config_type==="item"?(l(),o(t,{key:0},[e.val_type==="bool"?(l(),n(h,{key:0,modelValue:e.value,"onUpdate:modelValue":a=>e.value=a,label:e.name,hint:e.description,color:"primary",inset:""},null,8,["modelValue","onUpdate:modelValue","label","hint"])):e.val_type==="str"?(l(),n(p,{key:1,modelValue:e.value,"onUpdate:modelValue":a=>e.value=a,label:e.name,hint:e.description,style:{"margin-bottom":"8px"},variant:"outlined"},null,8,["modelValue","onUpdate:modelValue","label","hint"])):e.val_type==="int"?(l(),n(p,{key:2,modelValue:e.value,"onUpdate:modelValue":a=>e.value=a,label:e.name,hint:e.description,style:{"margin-bottom":"8px"},variant:"outlined"},null,8,["modelValue","onUpdate:modelValue","label","hint"])):e.val_type==="list"?(l(),o(t,{key:3},[s("span",null,m(e.name),1),V(f,{modelValue:e.value,"onUpdate:modelValue":a=>e.value=a,chips:"",clearable:"",label:"请添加",multiple:"","prepend-icon":"mdi-tag-multiple-outline"},{selection:u(({attrs:a,item:i,select:b,selected:_})=>[V(C,x(a,{"model-value":_,closable:"",onClick:b,"onClick:close":D=>y.remove(i)}),{default:u(()=>[s("strong",null,m(i),1)]),_:2},1040,["model-value","onClick","onClick:close"])]),_:2},1032,["modelValue","onUpdate:modelValue"])],64)):v("",!0)],64)):e.config_type==="divider"?(l(),n(U,{key:1,style:{"margin-top":"8px","margin-bottom":"8px"}})):v("",!0)],64))),256))]),_:2},1032,["title"]))),128))}};export{S as _};

addons/dashboard/dist/assets/ConfigPage-164b73e7.js

@@ -0,0 +1 @@
+import{_ as y}from"./UiParentCard.vue_vue_type_script_setup_true_lang-f2b2db58.js";import{x as h,o,c as u,w as t,a,a8 as b,b as c,K as x,e as f,t as g,G as V,A as w,L as S,a9 as $,J as B,s as _,d as v,F as d,u as p,f as G,V as T,aa as j,T as l}from"./index-dc96e1be.js";import{_ as m}from"./ConfigDetailCard-8467c848.js";const D={class:"d-sm-flex align-center justify-space-between"},C=h({__name:"ConfigGroupCard",props:{title:String},setup(e){const s=e;return(i,n)=>(o(),u(B,{variant:"outlined",elevation:"0",class:"withbg",style:{width:"50%"}},{default:t(()=>[a(b,{style:{padding:"10px 20px"}},{default:t(()=>[c("div",D,[a(x,null,{default:t(()=>[f(g(s.title),1)]),_:1}),a(V)])]),_:1}),a(w),a(S,null,{default:t(()=>[$(i.$slots,"default")]),_:3})]),_:3}))}}),I={style:{display:"flex","flex-direction":"row","justify-content":"space-between","align-items":"center","margin-bottom":"12px"}},N={style:{display:"flex","flex-direction":"row"}},R={style:{"margin-right":"10px",color:"black"}},F={style:{color:"#222"}},k=h({__name:"ConfigGroupItem",props:{title:String,desc:String,btnRoute:String,namespace:String},setup(e){const s=e;return(i,n)=>(o(),_("div",I,[c("div",N,[c("h3",R,g(s.title),1),c("p",F,g(s.desc),1)]),a(v,{to:s.btnRoute,color:"primary",class:"ml-2",style:{"border-radius":"10px"}},{default:t(()=>[f("配置")]),_:1},8,["to"])]))}}),L={style:{display:"flex","flex-direction":"row",padding:"16px",gap:"16px",width:"100%"}},P={name:"ConfigPage",components:{UiParentCard:y,ConfigGroupCard:C,ConfigGroupItem:k,ConfigDetailCard:m},data(){return{config_data:[],config_base:[],save_message_snack:!1,save_message:"",save_message_success:"",config_outline:[],namespace:""}},mounted(){this.getConfig()},methods:{switchConfig(e){l.get("/api/configs?namespace="+e).then(s=>{this.namespace=e,this.config_data=s.data.data,console.log(this.config_data)}).catch(s=>{save_message=s,save_message_snack=!0,save_message_success="error"})},getConfig(){l.get("/api/config_outline").then(e=>{this.config_outline=e.data.data,console.log(this.config_outline)}).catch(e=>{save_message=e,save_message_snack=!0,save_message_success="error"}),l.get("/api/configs").then(e=>{this.config_base=e.data.data,console.log(this.config_data)}).catch(e=>{save_message=e,save_message_snack=!0,save_message_success="error"})},updateConfig(){l.post("/api/configs",{base_config:this.config_base,config:this.config_data,namespace:this.namespace}).then(e=>{e.data.status==="success"?(this.save_message=e.data.message,this.save_message_snack=!0,this.save_message_success="success"):(this.save_message=e.data.message,this.save_message_snack=!0,this.save_message_success="error")}).catch(e=>{this.save_message=e,this.save_message_snack=!0,this.save_message_success="error"})}}},J=Object.assign(P,{setup(e){return(s,i)=>(o(),_(d,null,[a(T,null,{default:t(()=>[c("div",L,[(o(!0),_(d,null,p(s.config_outline,n=>(o(),u(C,{key:n.name,title:n.name},{default:t(()=>[(o(!0),_(d,null,p(n.body,r=>(o(),u(k,{title:r.title,desc:r.desc,namespace:r.namespace,onClick:U=>s.switchConfig(r.namespace)},null,8,["title","desc","namespace","onClick"]))),256))]),_:2},1032,["title"]))),128))]),a(G,{cols:"12",md:"12"},{default:t(()=>[a(m,{config:s.config_data},null,8,["config"]),a(m,{config:s.config_base},null,8,["config"])]),_:1})]),_:1}),a(v,{icon:"mdi-content-save",size:"x-large",style:{position:"fixed",right:"52px",bottom:"52px"},color:"darkprimary",onClick:s.updateConfig},null,8,["onClick"]),a(j,{timeout:2e3,elevation:"24",color:s.save_message_success,modelValue:s.save_message_snack,"onUpdate:modelValue":i[0]||(i[0]=n=>s.save_message_snack=n)},{default:t(()=>[f(g(s.save_message),1)]),_:1},8,["color","modelValue"])],64))}});export{J as default};

addons/dashboard/dist/assets/ConsolePage-ff373be6.css

@@ -0,0 +1,32 @@
+/**
+ * Copyright (c) 2014 The xterm.js authors. All rights reserved.
+ * Copyright (c) 2012-2013, Christopher Jeffrey (MIT License)
+ * https://github.com/chjj/term.js
+ * @license MIT
+ *
+ * Permission is hereby granted, free of charge, to any person obtaining a copy
+ * of this software and associated documentation files (the "Software"), to deal
+ * in the Software without restriction, including without limitation the rights
+ * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+ * copies of the Software, and to permit persons to whom the Software is
+ * furnished to do so, subject to the following conditions:
+ *
+ * The above copyright notice and this permission notice shall be included in
+ * all copies or substantial portions of the Software.
+ *
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+ * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+ * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+ * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
+ * THE SOFTWARE.
+ *
+ * Originally forked from (with the author's permission):
+ *   Fabrice Bellard's javascript vt100 for jslinux:
+ *   http://bellard.org/jslinux/
+ *   Copyright (c) 2011 Fabrice Bellard
+ *   The original design remains. The terminal itself
+ *   has been extended to include xterm CSI codes, among
+ *   other features.
+ */.xterm{cursor:text;position:relative;user-select:none;-ms-user-select:none;-webkit-user-select:none}.xterm.focus,.xterm:focus{outline:none}.xterm .xterm-helpers{position:absolute;top:0;z-index:5}.xterm .xterm-helper-textarea{padding:0;border:0;margin:0;position:absolute;opacity:0;left:-9999em;top:0;width:0;height:0;z-index:-5;white-space:nowrap;overflow:hidden;resize:none}.xterm .composition-view{background:#000;color:#fff;display:none;position:absolute;white-space:nowrap;z-index:1}.xterm .composition-view.active{display:block}.xterm .xterm-viewport{background-color:#000;overflow-y:scroll;cursor:default;position:absolute;right:0;left:0;top:0;bottom:0}.xterm .xterm-screen{position:relative}.xterm .xterm-screen canvas{position:absolute;left:0;top:0}.xterm .xterm-scroll-area{visibility:hidden}.xterm-char-measure-element{display:inline-block;visibility:hidden;position:absolute;top:0;left:-9999em;line-height:normal}.xterm.enable-mouse-events{cursor:default}.xterm.xterm-cursor-pointer,.xterm .xterm-cursor-pointer{cursor:pointer}.xterm.column-select.focus{cursor:crosshair}.xterm .xterm-accessibility,.xterm .xterm-message{position:absolute;left:0;top:0;bottom:0;right:0;z-index:10;color:transparent;pointer-events:none}.xterm .live-region{position:absolute;left:-9999px;width:1px;height:1px;overflow:hidden}.xterm-dim{opacity:1!important}.xterm-underline-1{text-decoration:underline}.xterm-underline-2{text-decoration:double underline}.xterm-underline-3{text-decoration:wavy underline}.xterm-underline-4{text-decoration:dotted underline}.xterm-underline-5{text-decoration:dashed underline}.xterm-overline{text-decoration:overline}.xterm-overline.xterm-underline-1{text-decoration:overline underline}.xterm-overline.xterm-underline-2{text-decoration:overline double underline}.xterm-overline.xterm-underline-3{text-decoration:overline wavy underline}.xterm-overline.xterm-underline-4{text-decoration:overline dotted underline}.xterm-overline.xterm-underline-5{text-decoration:overline dashed underline}.xterm-strikethrough{text-decoration:line-through}.xterm-screen .xterm-decoration-container .xterm-decoration{z-index:6;position:absolute}.xterm-screen .xterm-decoration-container .xterm-decoration.xterm-decoration-top-layer{z-index:7}.xterm-decoration-overview-ruler{z-index:8;position:absolute;top:0;right:0;pointer-events:none}.xterm-decoration-top{z-index:2;position:relative}

addons/dashboard/dist/assets/Error404Page-06f6396d.js

@@ -0,0 +1 @@
+import{_ as t}from"./_plugin-vue_export-helper-c27b6911.js";import{o,c,w as s,V as i,a as r,b as e,d as l,e as a,f as d}from"./index-dc96e1be.js";const n="/assets/img-error-bg-ab6474a0.svg",_="/assets/img-error-blue-2675a7a9.svg",m="/assets/img-error-text-a6aebfa0.svg",g="/assets/img-error-purple-edee3fbc.svg";const p={},u={class:"text-center"},f=e("div",{class:"CardMediaWrapper"},[e("img",{src:n,alt:"grid",class:"w-100"}),e("img",{src:_,alt:"grid",class:"CardMediaParts"}),e("img",{src:m,alt:"build",class:"CardMediaBuild"}),e("img",{src:g,alt:"build",class:"CardMediaBuild"})],-1),h=e("h1",{class:"text-h1"},"Something is wrong",-1),v=e("p",null,[e("small",null,[a("The page you are looking was moved, removed, "),e("br"),a("renamed, or might never exist! ")])],-1);function x(b,V){return o(),c(i,{"no-gutters":"",class:"h-100vh"},{default:s(()=>[r(d,{class:"d-flex align-center justify-center"},{default:s(()=>[e("div",u,[f,h,v,r(l,{variant:"flat",color:"primary",class:"mt-4",to:"/","prepend-icon":"mdi-home"},{default:s(()=>[a(" Home")]),_:1})])]),_:1})]),_:1})}const C=t(p,[["render",x]]);export{C as default};

addons/dashboard/dist/assets/Error404Page-11cf087a.css

@@ -0,0 +1 @@
+.CardMediaWrapper{max-width:720px;margin:0 auto;position:relative}.CardMediaBuild{position:absolute;top:0;left:0;width:100%;animation:5s bounce ease-in-out infinite}.CardMediaParts{position:absolute;top:0;left:0;width:100%;animation:10s blink ease-in-out infinite}

addons/dashboard/dist/assets/LoginPage-74e85ca7.css

@@ -0,0 +1 @@
+.custom-devider{border-color:#00000014!important}.googleBtn{border-color:#00000014;margin:30px 0 20px}.outlinedInput .v-field{border:1px solid rgba(0,0,0,.08);box-shadow:none}.orbtn{padding:2px 40px;border-color:#00000014;margin:20px 15px}.pwdInput{position:relative}.pwdInput .v-input__append{position:absolute;right:10px;top:50%;transform:translateY(-50%)}.loginForm .v-text-field .v-field--active input{font-weight:500}.loginBox{max-width:475px;margin:0 auto}

addons/dashboard/dist/assets/LogoDark.vue_vue_type_script_setup_true_lang-7df35c25.js

@@ -0,0 +1 @@
+import{av as _,x as d,D as n,o as c,s as m,a as f,w as p,Q as r,b as a,R as o,B as t,aw as h}from"./index-dc96e1be.js";const s={Sidebar_drawer:!0,Customizer_drawer:!1,mini_sidebar:!1,fontTheme:"Roboto",inputBg:!1},l=_({id:"customizer",state:()=>({Sidebar_drawer:s.Sidebar_drawer,Customizer_drawer:s.Customizer_drawer,mini_sidebar:s.mini_sidebar,fontTheme:"Poppins",inputBg:s.inputBg}),getters:{},actions:{SET_SIDEBAR_DRAWER(){this.Sidebar_drawer=!this.Sidebar_drawer},SET_MINI_SIDEBAR(e){this.mini_sidebar=e},SET_FONT(e){this.fontTheme=e}}}),u={class:"logo",style:{display:"flex","align-items":"center"}},b={style:{"font-size":"24px","font-weight":"1000"}},w={style:{"font-size":"20px","font-weight":"1000"}},S={style:{"font-size":"20px"}},z=d({__name:"LogoDark",setup(e){n("rgb(var(--v-theme-primary))"),n("rgb(var(--v-theme-secondary))");const i=l();return(g,B)=>(c(),m("div",u,[f(t(h),{to:"/",style:{"text-decoration":"none",color:"black"}},{default:p(()=>[r(a("span",b,"AstrBot 仪表盘",512),[[o,!t(i).mini_sidebar]]),r(a("span",w,"Astr",512),[[o,t(i).mini_sidebar]]),r(a("span",S,"Bot",512),[[o,t(i).mini_sidebar]])]),_:1})]))}});export{z as _,l as u};

addons/dashboard/dist/assets/MaterialIcons-fc2671ff.js

@@ -0,0 +1 @@
+import{_ as o}from"./BaseBreadcrumb.vue_vue_type_style_index_0_lang-e31f96f8.js";import{_ as i}from"./UiParentCard.vue_vue_type_script_setup_true_lang-f2b2db58.js";import{x as n,D as a,o as c,s as m,a as e,w as t,f as d,b as f,V as _,F as u}from"./index-dc96e1be.js";const p=["innerHTML"],v=n({__name:"MaterialIcons",setup(b){const s=a({title:"Material Icons"}),r=a('<iframe src="https://materialdesignicons.com/" frameborder="0"  width="100%" height="1000"></iframe>'),l=a([{title:"Icons",disabled:!1,href:"#"},{title:"Material Icons",disabled:!0,href:"#"}]);return(h,M)=>(c(),m(u,null,[e(o,{title:s.value.title,breadcrumbs:l.value},null,8,["title","breadcrumbs"]),e(_,null,{default:t(()=>[e(d,{cols:"12",md:"12"},{default:t(()=>[e(i,{title:"Material Icons"},{default:t(()=>[f("div",{innerHTML:r.value},null,8,p)]),_:1})]),_:1})]),_:1})],64))}});export{v as default};

addons/dashboard/dist/assets/RegisterPage-03654257.js

@@ -0,0 +1 @@
+import{_ as B}from"./LogoDark.vue_vue_type_script_setup_true_lang-7df35c25.js";import{x as y,D as o,o as b,s as U,a as e,w as a,b as n,B as $,d as u,f as d,A as _,e as f,V as r,O as m,ap as A,au as E,F,c as T,N as q,J as V,L as P}from"./index-dc96e1be.js";const z="/assets/social-google-a359a253.svg",N=["src"],S=n("span",{class:"ml-2"},"Sign up with Google",-1),D=n("h5",{class:"text-h5 text-center my-4 mb-8"},"Sign up with Email address",-1),G={class:"d-sm-inline-flex align-center mt-2 mb-7 mb-sm-0 font-weight-bold"},L=n("a",{href:"#",class:"ml-1 text-lightText"},"Terms and Condition",-1),O={class:"mt-5 text-right"},j=y({__name:"AuthRegister",setup(w){const c=o(!1),i=o(!1),p=o(""),v=o(""),g=o(),h=o(""),x=o(""),k=o([s=>!!s||"Password is required",s=>s&&s.length<=10||"Password must be less than 10 characters"]),C=o([s=>!!s||"E-mail is required",s=>/.+@.+\..+/.test(s)||"E-mail must be valid"]);function R(){g.value.validate()}return(s,l)=>(b(),U(F,null,[e(u,{block:"",color:"primary",variant:"outlined",class:"text-lightText googleBtn"},{default:a(()=>[n("img",{src:$(z),alt:"google"},null,8,N),S]),_:1}),e(r,null,{default:a(()=>[e(d,{class:"d-flex align-center"},{default:a(()=>[e(_,{class:"custom-devider"}),e(u,{variant:"outlined",class:"orbtn",rounded:"md",size:"small"},{default:a(()=>[f("OR")]),_:1}),e(_,{class:"custom-devider"})]),_:1})]),_:1}),D,e(E,{ref_key:"Regform",ref:g,"lazy-validation":"",action:"/dashboards/analytical",class:"mt-7 loginForm"},{default:a(()=>[e(r,null,{default:a(()=>[e(d,{cols:"12",sm:"6"},{default:a(()=>[e(m,{modelValue:h.value,"onUpdate:modelValue":l[0]||(l[0]=t=>h.value=t),density:"comfortable","hide-details":"auto",variant:"outlined",color:"primary",label:"Firstname"},null,8,["modelValue"])]),_:1}),e(d,{cols:"12",sm:"6"},{default:a(()=>[e(m,{modelValue:x.value,"onUpdate:modelValue":l[1]||(l[1]=t=>x.value=t),density:"comfortable","hide-details":"auto",variant:"outlined",color:"primary",label:"Lastname"},null,8,["modelValue"])]),_:1})]),_:1}),e(m,{modelValue:v.value,"onUpdate:modelValue":l[2]||(l[2]=t=>v.value=t),rules:C.value,label:"Email Address / Username",class:"mt-4 mb-4",required:"",density:"comfortable","hide-details":"auto",variant:"outlined",color:"primary"},null,8,["modelValue","rules"]),e(m,{modelValue:p.value,"onUpdate:modelValue":l[3]||(l[3]=t=>p.value=t),rules:k.value,label:"Password",required:"",density:"comfortable",variant:"outlined",color:"primary","hide-details":"auto","append-icon":i.value?"mdi-eye":"mdi-eye-off",type:i.value?"text":"password","onClick:append":l[4]||(l[4]=t=>i.value=!i.value),class:"pwdInput"},null,8,["modelValue","rules","append-icon","type"]),n("div",G,[e(A,{modelValue:c.value,"onUpdate:modelValue":l[5]||(l[5]=t=>c.value=t),rules:[t=>!!t||"You must agree to continue!"],label:"Agree with?",required:"",color:"primary",class:"ms-n2","hide-details":""},null,8,["modelValue","rules"]),L]),e(u,{color:"secondary",block:"",class:"mt-2",variant:"flat",size:"large",onClick:l[6]||(l[6]=t=>R())},{default:a(()=>[f("Sign Up")]),_:1})]),_:1},512),n("div",O,[e(_),e(u,{variant:"plain",to:"/auth/login",class:"mt-2 text-capitalize mr-n2"},{default:a(()=>[f("Already have an account?")]),_:1})])],64))}});const I={class:"pa-7 pa-sm-12"},J=n("h2",{class:"text-secondary text-h2 mt-8"},"Sign up",-1),Y=n("h4",{class:"text-disabled text-h4 mt-3"},"Enter credentials to continue",-1),M=y({__name:"RegisterPage",setup(w){return(c,i)=>(b(),T(r,{class:"h-100vh","no-gutters":""},{default:a(()=>[e(d,{cols:"12",class:"d-flex align-center bg-lightprimary"},{default:a(()=>[e(q,null,{default:a(()=>[n("div",I,[e(r,{justify:"center"},{default:a(()=>[e(d,{cols:"12",lg:"10",xl:"6",md:"7"},{default:a(()=>[e(V,{elevation:"0",class:"loginBox"},{default:a(()=>[e(V,{variant:"outlined"},{default:a(()=>[e(P,{class:"pa-9"},{default:a(()=>[e(r,null,{default:a(()=>[e(d,{cols:"12",class:"text-center"},{default:a(()=>[e(B),J,Y]),_:1})]),_:1}),e(j)]),_:1})]),_:1})]),_:1})]),_:1})]),_:1})])]),_:1})]),_:1})]),_:1}))}});export{M as default};

addons/dashboard/dist/assets/RegisterPage-799ed804.css

@@ -0,0 +1 @@
+.custom-devider{border-color:#00000014!important}.googleBtn{border-color:#00000014;margin:30px 0 20px}.outlinedInput .v-field{border:1px solid rgba(0,0,0,.08);box-shadow:none}.orbtn{padding:2px 40px;border-color:#00000014;margin:20px 15px}.pwdInput{position:relative}.pwdInput .v-input__append{position:absolute;right:10px;top:50%;transform:translateY(-50%)}.loginBox{max-width:475px;margin:0 auto}

addons/dashboard/dist/assets/ShadowPage-fb617452.js

@@ -0,0 +1 @@
+import{_ as c}from"./BaseBreadcrumb.vue_vue_type_style_index_0_lang-e31f96f8.js";import{_ as f}from"./UiParentCard.vue_vue_type_script_setup_true_lang-f2b2db58.js";import{x as m,D as s,o as l,s as r,a as e,w as a,f as i,V as o,F as d,u as _,J as p,X as b,b as h,t as g}from"./index-dc96e1be.js";const v=m({__name:"ShadowPage",setup(w){const n=s({title:"Shadow Page"}),u=s([{title:"Utilities",disabled:!1,href:"#"},{title:"Shadow",disabled:!0,href:"#"}]);return(V,x)=>(l(),r(d,null,[e(c,{title:n.value.title,breadcrumbs:u.value},null,8,["title","breadcrumbs"]),e(o,null,{default:a(()=>[e(i,{cols:"12",md:"12"},{default:a(()=>[e(f,{title:"Basic Shadow"},{default:a(()=>[e(o,{justify:"center"},{default:a(()=>[(l(),r(d,null,_(25,t=>e(i,{key:t,cols:"auto"},{default:a(()=>[e(p,{height:"100",width:"100",class:b(["mb-5",["d-flex justify-center align-center bg-primary",`elevation-${t}`]])},{default:a(()=>[h("div",null,g(t-1),1)]),_:2},1032,["class"])]),_:2},1024)),64))]),_:1})]),_:1})]),_:1})]),_:1})],64))}});export{v as default};

addons/dashboard/dist/assets/TablerIcons-3ae5dd43.js

@@ -0,0 +1 @@
+import{_ as o}from"./BaseBreadcrumb.vue_vue_type_style_index_0_lang-e31f96f8.js";import{_ as n}from"./UiParentCard.vue_vue_type_script_setup_true_lang-f2b2db58.js";import{x as c,D as a,o as i,s as m,a as e,w as t,f as d,b as f,V as _,F as u}from"./index-dc96e1be.js";const b=["innerHTML"],w=c({__name:"TablerIcons",setup(p){const s=a({title:"Tabler Icons"}),r=a('<iframe src="https://tablericons.com/" frameborder="0"  width="100%" height="600"></iframe>'),l=a([{title:"Icons",disabled:!1,href:"#"},{title:"Tabler Icons",disabled:!0,href:"#"}]);return(h,T)=>(i(),m(u,null,[e(o,{title:s.value.title,breadcrumbs:l.value},null,8,["title","breadcrumbs"]),e(_,null,{default:t(()=>[e(d,{cols:"12",md:"12"},{default:t(()=>[e(n,{title:"Tabler Icons"},{default:t(()=>[f("div",{innerHTML:r.value},null,8,b)]),_:1})]),_:1})]),_:1})],64))}});export{w as default};

addons/dashboard/dist/assets/TypographyPage-7d559339.js

@@ -0,0 +1 @@
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addons/dashboard/dist/assets/UiParentCard.vue_vue_type_script_setup_true_lang-f2b2db58.js

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addons/dashboard/dist/assets/_plugin-vue_export-helper-c27b6911.js

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+const s=(t,r)=>{const o=t.__vccOpts||t;for(const[c,e]of r)o[c]=e;return o};export{s as _};

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addons/dashboard/dist/assets/social-google-a359a253.svg

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addons/dashboard/dist/index.html

@@ -0,0 +1,21 @@
+<!doctype html>
+<html lang="en">
+  <head>
+    <meta charset="UTF-8" />
+    <link rel="icon" href="/favicon.svg" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" />
+    <meta name="keywords" content="AstrBot Soulter" />
+    <meta name="description" content="AstrBot Dashboard" />
+    <link
+      rel="stylesheet"
+      href="https://fonts.googleapis.com/css2?family=Inter:wght@400;500;600;700&family=Poppins:wght@400;500;600;700&family=Roboto:wght@400;500;700&display=swap"
+    />
+    <title>AstrBot - 仪表盘</title>
+    <script type="module" crossorigin src="/assets/index-dc96e1be.js"></script>
+    <link rel="stylesheet" href="/assets/index-0f1523f3.css">
+  </head>
+  <body>
+    <div id="app"></div>
+    
+  </body>
+</html>

addons/dashboard/helper.py

@@ -0,0 +1,533 @@
+from addons.dashboard.server import AstrBotDashBoard, DashBoardData
+from pydantic import BaseModel
+from typing import Union, Optional
+import uuid
+from util import general_utils as gu
+from util.cmd_config import CmdConfig
+from dataclasses import dataclass
+import sys
+import os
+import threading
+import time
+import asyncio
+from util.plugin_dev.api.v1.config import update_config
+from SparkleLogging.utils.core import LogManager
+from logging import Logger
+
+logger: Logger = LogManager.GetLogger(log_name='astrbot-core')
+
+
+@dataclass
+class DashBoardConfig():
+    config_type: str
+    name: Optional[str] = None
+    description: Optional[str] = None
+    path: Optional[str] = None  # 仅 item 才需要
+    body: Optional[list['DashBoardConfig']] = None  # 仅 group 才需要
+    value: Optional[Union[list, dict, str, int, bool]] = None  # 仅 item 才需要
+    val_type: Optional[str] = None  # 仅 item 才需要
+
+
+class DashBoardHelper():
+    def __init__(self, global_object, config: dict):
+        self.loop = asyncio.new_event_loop()
+        asyncio.set_event_loop(self.loop)
+        dashboard_data = global_object.dashboard_data
+        dashboard_data.configs = {
+            "data": []
+        }
+        self.parse_default_config(dashboard_data, config)
+        self.dashboard_data: DashBoardData = dashboard_data
+        self.dashboard = AstrBotDashBoard(global_object)
+        self.key_map = {}  # key: uuid, value: config key name
+        self.cc = CmdConfig()
+
+        @self.dashboard.register("post_configs")
+        def on_post_configs(post_configs: dict):
+            try:
+                if 'base_config' in post_configs:
+                    self.save_config(
+                        post_configs['base_config'], namespace='')  # 基础配置
+                self.save_config(
+                    post_configs['config'], namespace=post_configs['namespace'])  # 选定配置
+                self.parse_default_config(
+                    self.dashboard_data, self.cc.get_all())
+                # 重启
+                threading.Thread(target=self.dashboard.shutdown_bot,
+                                 args=(2,), daemon=True).start()
+            except Exception as e:
+                raise e
+
+    # 将 config.yaml、 中的配置解析到 dashboard_data.configs 中
+    def parse_default_config(self, dashboard_data: DashBoardData, config: dict):
+
+        try:
+            qq_official_platform_group = DashBoardConfig(
+                config_type="group",
+                name="QQ_OFFICIAL 平台配置",
+                description="",
+                body=[
+                    DashBoardConfig(
+                        config_type="item",
+                        val_type="bool",
+                        name="启用 QQ_OFFICIAL 平台",
+                        description="官方的接口，仅支持 QQ 频道。详见 q.qq.com",
+                        value=config['qqbot']['enable'],
+                        path="qqbot.enable",
+                    ),
+                    DashBoardConfig(
+                        config_type="item",
+                        val_type="str",
+                        name="QQ机器人APPID",
+                        description="详见 q.qq.com",
+                        value=config['qqbot']['appid'],
+                        path="qqbot.appid",
+                    ),
+                    DashBoardConfig(
+                        config_type="item",
+                        val_type="str",
+                        name="QQ机器人令牌",
+                        description="详见 q.qq.com",
+                        value=config['qqbot']['token'],
+                        path="qqbot.token",
+                    ),
+                    DashBoardConfig(
+                        config_type="item",
+                        val_type="str",
+                        name="QQ机器人 Secret",
+                        description="详见 q.qq.com",
+                        value=config['qqbot_secret'],
+                        path="qqbot_secret",
+                    ),
+                    DashBoardConfig(
+                        config_type="item",
+                        val_type="bool",
+                        name="是否允许 QQ 频道私聊",
+                        description="如果启用，机器人会响应私聊消息。",
+                        value=config['direct_message_mode'],
+                        path="direct_message_mode",
+                    ),
+                    DashBoardConfig(
+                        config_type="item",
+                        val_type="bool",
+                        name="是否接收QQ群消息",
+                        description="需要机器人有相应的群消息接收权限。在 q.qq.com 上查看。",
+                        value=config['qqofficial_enable_group_message'],
+                        path="qqofficial_enable_group_message",
+                    ),
+                ]
+            )
+            qq_gocq_platform_group = DashBoardConfig(
+                config_type="group",
+                name="OneBot协议平台配置",
+                description="",
+                body=[
+                    DashBoardConfig(
+                        config_type="item",
+                        val_type="bool",
+                        name="启用",
+                        description="支持cq-http、shamrock等（目前仅支持QQ平台）",
+                        value=config['gocqbot']['enable'],
+                        path="gocqbot.enable",
+                    ),
+                    DashBoardConfig(
+                        config_type="item",
+                        val_type="str",
+                        name="HTTP 服务器地址",
+                        description="",
+                        value=config['gocq_host'],
+                        path="gocq_host",
+                    ),
+                    DashBoardConfig(
+                        config_type="item",
+                        val_type="int",
+                        name="HTTP 服务器端口",
+                        description="",
+                        value=config['gocq_http_port'],
+                        path="gocq_http_port",
+                    ),
+                    DashBoardConfig(
+                        config_type="item",
+                        val_type="int",
+                        name="WebSocket 服务器端口",
+                        description="目前仅支持正向 WebSocket",
+                        value=config['gocq_websocket_port'],
+                        path="gocq_websocket_port",
+                    ),
+                    DashBoardConfig(
+                        config_type="item",
+                        val_type="bool",
+                        name="是否响应群消息",
+                        description="",
+                        value=config['gocq_react_group'],
+                        path="gocq_react_group",
+                    ),
+                    DashBoardConfig(
+                        config_type="item",
+                        val_type="bool",
+                        name="是否响应私聊消息",
+                        description="",
+                        value=config['gocq_react_friend'],
+                        path="gocq_react_friend",
+                    ),
+                    DashBoardConfig(
+                        config_type="item",
+                        val_type="bool",
+                        name="是否响应群成员增加消息",
+                        description="",
+                        value=config['gocq_react_group_increase'],
+                        path="gocq_react_group_increase",
+                    ),
+                    DashBoardConfig(
+                        config_type="item",
+                        val_type="bool",
+                        name="是否响应频道消息",
+                        description="",
+                        value=config['gocq_react_guild'],
+                        path="gocq_react_guild",
+                    ),
+                    DashBoardConfig(
+                        config_type="item",
+                        val_type="int",
+                        name="转发阈值（字符数）",
+                        description="机器人回复的消息长度超出这个值后，会被折叠成转发卡片发出以减少刷屏。",
+                        value=config['qq_forward_threshold'],
+                        path="qq_forward_threshold",
+                    ),
+                ]
+            )
+
+            general_platform_detail_group = DashBoardConfig(
+                config_type="group",
+                name="通用平台配置",
+                description="",
+                body=[
+                    DashBoardConfig(
+                        config_type="item",
+                        val_type="bool",
+                        name="启动消息文字转图片",
+                        description="启动后，机器人会将消息转换为图片发送，以降低风控风险。",
+                        value=config['qq_pic_mode'],
+                        path="qq_pic_mode",
+                    ),
+                    DashBoardConfig(
+                        config_type="item",
+                        val_type="int",
+                        name="消息限制时间",
+                        description="在此时间内，机器人不会回复同一个用户的消息。单位：秒",
+                        value=config['limit']['time'],
+                        path="limit.time",
+                    ),
+                    DashBoardConfig(
+                        config_type="item",
+                        val_type="int",
+                        name="消息限制次数",
+                        description="在上面的时间内，如果用户发送消息超过此次数，则机器人不会回复。单位：次",
+                        value=config['limit']['count'],
+                        path="limit.count",
+                    ),
+                    DashBoardConfig(
+                        config_type="item",
+                        val_type="str",
+                        name="回复前缀",
+                        description="[xxxx] 你好！ 其中xxxx是你可以填写的前缀。如果为空则不显示。",
+                        value=config['reply_prefix'],
+                        path="reply_prefix",
+                    ),
+                    DashBoardConfig(
+                        config_type="item",
+                        val_type="list",
+                        name="通用管理员用户 ID（支持多个管理员）。通过 !myid 指令获取。",
+                        description="",
+                        value=config['other_admins'],
+                        path="other_admins",
+                    ),
+                    DashBoardConfig(
+                        config_type="item",
+                        val_type="bool",
+                        name="独立会话",
+                        description="是否启用独立会话模式，即 1 个用户自然账号 1 个会话。",
+                        value=config['uniqueSessionMode'],
+                        path="uniqueSessionMode",
+                    ),
+                    DashBoardConfig(
+                        config_type="item",
+                        val_type="str",
+                        name="LLM 唤醒词",
+                        description="如果不为空, 那么只有当消息以此词开头时，才会调用大语言模型进行回复。如设置为 /chat，那么只有当消息以 /chat 开头时，才会调用大语言模型进行回复。",
+                        value=config['llm_wake_prefix'],
+                        path="llm_wake_prefix",
+                    )
+                ]
+            )
+
+            openai_official_llm_group = DashBoardConfig(
+                config_type="group",
+                name="OpenAI 官方接口类设置",
+                description="",
+                body=[
+                    DashBoardConfig(
+                        config_type="item",
+                        val_type="list",
+                        name="OpenAI API Key",
+                        description="OpenAI API 的 Key。支持使用非官方但兼容的 API（第三方中转key）。",
+                        value=config['openai']['key'],
+                        path="openai.key",
+                    ),
+                    DashBoardConfig(
+                        config_type="item",
+                        val_type="str",
+                        name="OpenAI API 节点地址(api base)",
+                        description="OpenAI API 的节点地址，配合非官方 API 使用。如果不想填写，那么请填写 none",
+                        value=config['openai']['api_base'],
+                        path="openai.api_base",
+                    ),
+                    DashBoardConfig(
+                        config_type="item",
+                        val_type="str",
+                        name="OpenAI model",
+                        description="OpenAI LLM 模型。详见 https://platform.openai.com/docs/api-reference/chat",
+                        value=config['openai']['chatGPTConfigs']['model'],
+                        path="openai.chatGPTConfigs.model",
+                    ),
+                    DashBoardConfig(
+                        config_type="item",
+                        val_type="int",
+                        name="OpenAI max_tokens",
+                        description="OpenAI 最大生成长度。详见 https://platform.openai.com/docs/api-reference/chat",
+                        value=config['openai']['chatGPTConfigs']['max_tokens'],
+                        path="openai.chatGPTConfigs.max_tokens",
+                    ),
+                    DashBoardConfig(
+                        config_type="item",
+                        val_type="float",
+                        name="OpenAI temperature",
+                        description="OpenAI 温度。详见 https://platform.openai.com/docs/api-reference/chat",
+                        value=config['openai']['chatGPTConfigs']['temperature'],
+                        path="openai.chatGPTConfigs.temperature",
+                    ),
+                    DashBoardConfig(
+                        config_type="item",
+                        val_type="float",
+                        name="OpenAI top_p",
+                        description="OpenAI top_p。详见 https://platform.openai.com/docs/api-reference/chat",
+                        value=config['openai']['chatGPTConfigs']['top_p'],
+                        path="openai.chatGPTConfigs.top_p",
+                    ),
+                    DashBoardConfig(
+                        config_type="item",
+                        val_type="float",
+                        name="OpenAI frequency_penalty",
+                        description="OpenAI frequency_penalty。详见 https://platform.openai.com/docs/api-reference/chat",
+                        value=config['openai']['chatGPTConfigs']['frequency_penalty'],
+                        path="openai.chatGPTConfigs.frequency_penalty",
+                    ),
+                    DashBoardConfig(
+                        config_type="item",
+                        val_type="float",
+                        name="OpenAI presence_penalty",
+                        description="OpenAI presence_penalty。详见 https://platform.openai.com/docs/api-reference/chat",
+                        value=config['openai']['chatGPTConfigs']['presence_penalty'],
+                        path="openai.chatGPTConfigs.presence_penalty",
+                    ),
+                    DashBoardConfig(
+                        config_type="item",
+                        val_type="int",
+                        name="OpenAI 总生成长度限制",
+                        description="OpenAI 总生成长度限制。详见 https://platform.openai.com/docs/api-reference/chat",
+                        value=config['openai']['total_tokens_limit'],
+                        path="openai.total_tokens_limit",
+                    ),
+                    DashBoardConfig(
+                        config_type="item",
+                        val_type="str",
+                        name="OpenAI 图像生成模型",
+                        description="OpenAI 图像生成模型。",
+                        value=config['openai_image_generate']['model'],
+                        path="openai_image_generate.model",
+                    ),
+                    DashBoardConfig(
+                        config_type="item",
+                        val_type="str",
+                        name="OpenAI 图像生成大小",
+                        description="OpenAI 图像生成大小。",
+                        value=config['openai_image_generate']['size'],
+                        path="openai_image_generate.size",
+                    ),
+                    DashBoardConfig(
+                        config_type="item",
+                        val_type="str",
+                        name="OpenAI 图像生成风格",
+                        description="OpenAI 图像生成风格。修改前请参考 OpenAI 官方文档",
+                        value=config['openai_image_generate']['style'],
+                        path="openai_image_generate.style",
+                    ),
+                    DashBoardConfig(
+                        config_type="item",
+                        val_type="str",
+                        name="OpenAI 图像生成质量",
+                        description="OpenAI 图像生成质量。修改前请参考 OpenAI 官方文档",
+                        value=config['openai_image_generate']['quality'],
+                        path="openai_image_generate.quality",
+                    ),
+                    DashBoardConfig(
+                        config_type="item",
+                        val_type="str",
+                        name="问题题首提示词",
+                        description="如果填写了此项，在每个对大语言模型的请求中，都会在问题前加上此提示词。",
+                        value=config['llm_env_prompt'],
+                        path="llm_env_prompt",
+                    ),
+                    DashBoardConfig(
+                        config_type="item",
+                        val_type="str",
+                        name="默认人格文本",
+                        description="默认人格文本",
+                        value=config['default_personality_str'],
+                        path="default_personality_str",
+                    ),
+                ]
+            )
+
+            baidu_aip_group = DashBoardConfig(
+                config_type="group",
+                name="百度内容审核",
+                description="需要去申请",
+                body=[
+                    DashBoardConfig(
+                        config_type="item",
+                        val_type="bool",
+                        name="启动百度内容审核服务",
+                        description="",
+                        value=config['baidu_aip']['enable'],
+                        path="baidu_aip.enable"
+                    ),
+                    DashBoardConfig(
+                        config_type="item",
+                        val_type="str",
+                        name="APP ID",
+                        description="",
+                        value=config['baidu_aip']['app_id'],
+                        path="baidu_aip.app_id"
+                    ),
+                    DashBoardConfig(
+                        config_type="item",
+                        val_type="str",
+                        name="API KEY",
+                        description="",
+                        value=config['baidu_aip']['api_key'],
+                        path="baidu_aip.api_key"
+                    ),
+                    DashBoardConfig(
+                        config_type="item",
+                        val_type="str",
+                        name="SECRET KEY",
+                        description="",
+                        value=config['baidu_aip']['secret_key'],
+                        path="baidu_aip.secret_key"
+                    )
+                ]
+            )
+
+            other_group = DashBoardConfig(
+                config_type="group",
+                name="其他配置",
+                description="其他配置描述",
+                body=[
+                    DashBoardConfig(
+                        config_type="item",
+                        val_type="str",
+                        name="HTTP 代理地址",
+                        description="建议上下一致",
+                        value=config['http_proxy'],
+                        path="http_proxy",
+                    ),
+                    DashBoardConfig(
+                        config_type="item",
+                        val_type="str",
+                        name="HTTPS 代理地址",
+                        description="建议上下一致",
+                        value=config['https_proxy'],
+                        path="https_proxy",
+                    ),
+                    DashBoardConfig(
+                        config_type="item",
+                        val_type="str",
+                        name="面板用户名",
+                        description="是的，就是你理解的这个面板的用户名",
+                        value=config['dashboard_username'],
+                        path="dashboard_username",
+                    ),
+                ]
+            )
+
+            dashboard_data.configs['data'] = [
+                qq_official_platform_group,
+                qq_gocq_platform_group,
+                general_platform_detail_group,
+                openai_official_llm_group,
+                other_group,
+                baidu_aip_group
+            ]
+
+        except Exception as e:
+            logger.error(f"配置文件解析错误：{e}")
+            raise e
+
+    def save_config(self, post_config: list, namespace: str):
+        '''
+        根据 path 解析并保存配置
+        '''
+
+        queue = post_config
+        while len(queue) > 0:
+            config = queue.pop(0)
+            if config['config_type'] == "group":
+                for item in config['body']:
+                    queue.append(item)
+            elif config['config_type'] == "item":
+                if config['path'] is None or config['path'] == "":
+                    continue
+
+                path = config['path'].split('.')
+                if len(path) == 0:
+                    continue
+
+                if config['val_type'] == "bool":
+                    self._write_config(
+                        namespace, config['path'], config['value'])
+                elif config['val_type'] == "str":
+                    self._write_config(
+                        namespace, config['path'], config['value'])
+                elif config['val_type'] == "int":
+                    try:
+                        self._write_config(
+                            namespace, config['path'], int(config['value']))
+                    except:
+                        raise ValueError(f"配置项 {config['name']} 的值必须是整数")
+                elif config['val_type'] == "float":
+                    try:
+                        self._write_config(
+                            namespace, config['path'], float(config['value']))
+                    except:
+                        raise ValueError(f"配置项 {config['name']} 的值必须是浮点数")
+                elif config['val_type'] == "list":
+                    if config['value'] is None:
+                        self._write_config(namespace, config['path'], [])
+                    elif not isinstance(config['value'], list):
+                        raise ValueError(f"配置项 {config['name']} 的值必须是列表")
+                    self._write_config(
+                        namespace, config['path'], config['value'])
+                else:
+                    raise NotImplementedError(
+                        f"未知或者未实现的配置项类型：{config['val_type']}")
+
+    def _write_config(self, namespace: str, key: str, value):
+        if namespace == "" or namespace.startswith("internal_"):
+            # 机器人自带配置，存到 config.yaml
+            self.cc.put_by_dot_str(key, value)
+        else:
+            update_config(namespace, key, value)
+
+    def run(self):
+        self.dashboard.run()

addons/dashboard/server.py

@@ -0,0 +1,475 @@
+import util.plugin_util as putil
+import websockets
+import json
+import threading
+import asyncio
+import os
+import sys
+import time
+
+from flask import Flask, request
+from flask.logging import default_handler
+from werkzeug.serving import make_server
+from util import general_utils as gu
+from dataclasses import dataclass
+from cores.database.conn import dbConn
+from util.cmd_config import CmdConfig
+from util.updator import check_update, update_project, request_release_info
+from cores.astrbot.types import *
+from SparkleLogging.utils.core import LogManager
+from logging import Logger
+logger: Logger = LogManager.GetLogger(log_name='astrbot-core')
+
+@dataclass
+class DashBoardData():
+    stats: dict
+    configs: dict
+    logs: dict
+    plugins: List[RegisteredPlugin]
+
+
+@dataclass
+class Response():
+    status: str
+    message: str
+    data: dict
+
+
+class AstrBotDashBoard():
+    def __init__(self, global_object: 'gu.GlobalObject'):
+        self.global_object = global_object
+        self.loop = asyncio.get_event_loop()
+        asyncio.set_event_loop(self.loop)
+        self.dashboard_data: DashBoardData = global_object.dashboard_data
+        self.dashboard_be = Flask(
+            __name__, static_folder="dist", static_url_path="/")
+        self.funcs = {}
+        self.cc = CmdConfig()
+        self.ws_clients = {}  # remote_ip: ws
+        # 启动 websocket 服务器
+        self.ws_server = websockets.serve(self.__handle_msg, "0.0.0.0", 6186)
+
+        @self.dashboard_be.get("/")
+        def index():
+            # 返回页面
+            return self.dashboard_be.send_static_file("index.html")
+
+        @self.dashboard_be.get("/config")
+        def rt_config():
+            return self.dashboard_be.send_static_file("index.html")
+
+        @self.dashboard_be.get("/logs")
+        def rt_logs():
+            return self.dashboard_be.send_static_file("index.html")
+        
+        @self.dashboard_be.get("/extension")
+        def rt_extension():
+            return self.dashboard_be.send_static_file("index.html")
+
+        @self.dashboard_be.get("/dashboard/default")
+        def rt_dashboard():
+            return self.dashboard_be.send_static_file("index.html")
+
+        @self.dashboard_be.post("/api/authenticate")
+        def authenticate():
+            username = self.cc.get("dashboard_username", "")
+            password = self.cc.get("dashboard_password", "")
+            # 获得请求体
+            post_data = request.json
+            if post_data["username"] == username and post_data["password"] == password:
+                return Response(
+                    status="success",
+                    message="登录成功。",
+                    data={
+                        "token": "astrbot-test-token",
+                        "username": username
+                    }
+                ).__dict__
+            else:
+                return Response(
+                    status="error",
+                    message="用户名或密码错误。",
+                    data=None
+                ).__dict__
+
+        @self.dashboard_be.post("/api/change_password")
+        def change_password():
+            password = self.cc.get("dashboard_password", "")
+            # 获得请求体
+            post_data = request.json
+            if post_data["password"] == password:
+                self.cc.put("dashboard_password", post_data["new_password"])
+                return Response(
+                    status="success",
+                    message="修改成功。",
+                    data=None
+                ).__dict__
+            else:
+                return Response(
+                    status="error",
+                    message="原密码错误。",
+                    data=None
+                ).__dict__
+
+        @self.dashboard_be.get("/api/stats")
+        def get_stats():
+            db_inst = dbConn()
+            all_session = db_inst.get_all_stat_session()
+            last_24_message = db_inst.get_last_24h_stat_message()
+            # last_24_platform = db_inst.get_last_24h_stat_platform()
+            platforms = db_inst.get_platform_cnt_total()
+            self.dashboard_data.stats["session"] = []
+            self.dashboard_data.stats["session_total"] = db_inst.get_session_cnt_total(
+            )
+            self.dashboard_data.stats["message"] = last_24_message
+            self.dashboard_data.stats["message_total"] = db_inst.get_message_cnt_total(
+            )
+            self.dashboard_data.stats["platform"] = platforms
+
+            return Response(
+                status="success",
+                message="",
+                data=self.dashboard_data.stats
+            ).__dict__
+
+        @self.dashboard_be.get("/api/configs")
+        def get_configs():
+            # 如果params中有namespace，则返回该namespace下的配置
+            # 否则返回所有配置
+            namespace = "" if "namespace" not in request.args else request.args["namespace"]
+            conf = self._get_configs(namespace)
+            return Response(
+                status="success",
+                message="",
+                data=conf
+            ).__dict__
+
+        @self.dashboard_be.get("/api/config_outline")
+        def get_config_outline():
+            outline = self._generate_outline()
+            return Response(
+                status="success",
+                message="",
+                data=outline
+            ).__dict__
+
+        @self.dashboard_be.post("/api/configs")
+        def post_configs():
+            post_configs = request.json
+            try:
+                self.funcs["post_configs"](post_configs)
+                return Response(
+                    status="success",
+                    message="保存成功~ 机器人将在 2 秒内重启以应用新的配置。",
+                    data=None
+                ).__dict__
+            except Exception as e:
+                return Response(
+                    status="error",
+                    message=e.__str__(),
+                    data=self.dashboard_data.configs
+                ).__dict__
+
+        @self.dashboard_be.get("/api/extensions")
+        def get_plugins():
+            _plugin_resp = []
+            for plugin in self.dashboard_data.plugins:
+                _p = plugin.metadata
+                _t = {
+                    "name": _p.plugin_name,
+                    "repo": '' if _p.repo is None else _p.repo,
+                    "author": _p.author,
+                    "desc": _p.desc,
+                    "version": _p.version
+                }
+                _plugin_resp.append(_t)
+            return Response(
+                status="success",
+                message="",
+                data=_plugin_resp
+            ).__dict__
+
+        @self.dashboard_be.post("/api/extensions/install")
+        def install_plugin():
+            post_data = request.json
+            repo_url = post_data["url"]
+            try:
+                logger.info(f"正在安装插件 {repo_url}")
+                putil.install_plugin(repo_url, self.dashboard_data.plugins)
+                logger.info(f"安装插件 {repo_url} 成功")
+                return Response(
+                    status="success",
+                    message="安装成功~",
+                    data=None
+                ).__dict__
+            except Exception as e:
+                return Response(
+                    status="error",
+                    message=e.__str__(),
+                    data=None
+                ).__dict__
+
+        @self.dashboard_be.post("/api/extensions/uninstall")
+        def uninstall_plugin():
+            post_data = request.json
+            plugin_name = post_data["name"]
+            try:
+                logger.info(f"正在卸载插件 {plugin_name}")
+                putil.uninstall_plugin(
+                    plugin_name, self.dashboard_data.plugins)
+                logger.info(f"卸载插件 {plugin_name} 成功")
+                return Response(
+                    status="success",
+                    message="卸载成功~",
+                    data=None
+                ).__dict__
+            except Exception as e:
+                return Response(
+                    status="error",
+                    message=e.__str__(),
+                    data=None
+                ).__dict__
+
+        @self.dashboard_be.post("/api/extensions/update")
+        def update_plugin():
+            post_data = request.json
+            plugin_name = post_data["name"]
+            try:
+                logger.info(f"正在更新插件 {plugin_name}")
+                putil.update_plugin(plugin_name, self.dashboard_data.plugins)
+                logger.info(f"更新插件 {plugin_name} 成功")
+                return Response(
+                    status="success",
+                    message="更新成功~",
+                    data=None
+                ).__dict__
+            except Exception as e:
+                return Response(
+                    status="error",
+                    message=e.__str__(),
+                    data=None
+                ).__dict__
+
+        @self.dashboard_be.post("/api/log")
+        def log():
+            for item in self.ws_clients:
+                try:
+                    asyncio.run_coroutine_threadsafe(
+                        self.ws_clients[item].send(request.data.decode()), self.loop)
+                except Exception as e:
+                    pass
+            return 'ok'
+
+        @self.dashboard_be.get("/api/check_update")
+        def get_update_info():
+            try:
+                ret = check_update()
+                return Response(
+                    status="success",
+                    message=ret,
+                    data={
+                        "has_new_version": ret != "当前已经是最新版本。"  # 先这样吧，累了=.=
+                    }
+                ).__dict__
+            except Exception as e:
+                return Response(
+                    status="error",
+                    message=e.__str__(),
+                    data=None
+                ).__dict__
+
+        @self.dashboard_be.post("/api/update_project")
+        def update_project_api():
+            version = request.json['version']
+            if version == "" or version == "latest":
+                latest = True
+                version = ''
+            else:
+                latest = False
+            try:
+                update_project(request_release_info(latest),
+                               latest=latest, version=version)
+                threading.Thread(target=self.shutdown_bot, args=(3,)).start()
+                return Response(
+                    status="success",
+                    message="更新成功，机器人将在 3 秒内重启。",
+                    data=None
+                ).__dict__
+            except Exception as e:
+                return Response(
+                    status="error",
+                    message=e.__str__(),
+                    data=None
+                ).__dict__
+
+        @self.dashboard_be.get("/api/llm/list")
+        def llm_list():
+            ret = []
+            for llm in self.global_object.llms:
+                ret.append(llm.llm_name)
+            return Response(
+                status="success",
+                message="",
+                data=ret
+            ).__dict__
+
+        @self.dashboard_be.get("/api/llm")
+        def llm():
+            text = request.args["text"]
+            llm = request.args["llm"]
+            for llm_ in self.global_object.llms:
+                if llm_.llm_name == llm:
+                    try:
+                        # ret = await llm_.llm_instance.text_chat(text)
+                        ret = asyncio.run_coroutine_threadsafe(
+                            llm_.llm_instance.text_chat(text), self.loop).result()
+                        return Response(
+                            status="success",
+                            message="",
+                            data=ret
+                        ).__dict__
+                    except Exception as e:
+                        return Response(
+                            status="error",
+                            message=e.__str__(),
+                            data=None
+                        ).__dict__
+
+            return Response(
+                status="error",
+                message="LLM not found.",
+                data=None
+            ).__dict__
+
+    def shutdown_bot(self, delay_s: int):
+        time.sleep(delay_s)
+        py = sys.executable
+        os.execl(py, py, *sys.argv)
+
+    def _get_configs(self, namespace: str):
+        if namespace == "":
+            ret = [self.dashboard_data.configs['data'][4],
+                   self.dashboard_data.configs['data'][5],]
+        elif namespace == "internal_platform_qq_official":
+            ret = [self.dashboard_data.configs['data'][0],]
+        elif namespace == "internal_platform_qq_gocq":
+            ret = [self.dashboard_data.configs['data'][1],]
+        elif namespace == "internal_platform_general":  # 全局平台配置
+            ret = [self.dashboard_data.configs['data'][2],]
+        elif namespace == "internal_llm_openai_official":
+            ret = [self.dashboard_data.configs['data'][3],]
+        else:
+            path = f"data/config/{namespace}.json"
+            if not os.path.exists(path):
+                return []
+            with open(path, "r", encoding="utf-8-sig") as f:
+                ret = [{
+                    "config_type": "group",
+                    "name": namespace + " 插件配置",
+                    "description": "",
+                    "body": list(json.load(f).values())
+                },]
+        return ret
+
+    def _generate_outline(self):
+        '''
+        生成配置大纲。目前分为 platform(消息平台配置) 和 llm(语言模型配置) 两大类。
+        插件的info函数中如果带了plugin_type字段，则会被归类到对应的大纲中。目前仅支持 platform 和 llm 两种类型。
+        '''
+        outline = [
+            {
+                "type": "platform",
+                "name": "配置通用消息平台",
+                "body": [
+                    {
+                        "title": "通用",
+                        "desc": "通用平台配置",
+                        "namespace": "internal_platform_general",
+                        "tag": ""
+                    },
+                    {
+                        "title": "QQ_OFFICIAL",
+                        "desc": "QQ官方API，仅支持频道",
+                        "namespace": "internal_platform_qq_official",
+                        "tag": ""
+                    },
+                    {
+                        "title": "OneBot协议",
+                        "desc": "支持cq-http、shamrock等（目前仅支持QQ平台）",
+                        "namespace": "internal_platform_qq_gocq",
+                        "tag": ""
+                    }
+                ]
+            },
+            {
+                "type": "llm",
+                "name": "配置 LLM",
+                "body": [
+                    {
+                        "title": "OpenAI Official",
+                        "desc": "也支持使用官方接口的中转服务",
+                        "namespace": "internal_llm_openai_official",
+                        "tag": ""
+                    }
+                ]
+            }
+        ]
+        for plugin in self.global_object.cached_plugins:
+            for item in outline:
+                if item['type'] == plugin.metadata.plugin_type:
+                    item['body'].append({
+                        "title": plugin.metadata.plugin_name,
+                        "desc": plugin.metadata.desc,
+                        "namespace": plugin.metadata.plugin_name,
+                        "tag": plugin.metadata.plugin_name
+                    })
+        return outline
+
+    def register(self, name: str):
+        def decorator(func):
+            self.funcs[name] = func
+            return func
+        return decorator
+
+    async def get_log_history(self):
+        try:
+            with open("logs/astrbot-core/astrbot-core.log", "r", encoding="utf-8") as f:
+                return f.readlines()[-100:]
+        except Exception as e:
+            logger.warning(f"读取日志历史失败: {e.__str__()}")
+            return []
+
+    async def __handle_msg(self, websocket, path):
+        address = websocket.remote_address
+        self.ws_clients[address] = websocket
+        data = await self.get_log_history()
+        data = ''.join(data).replace('\n', '\r\n')
+        await websocket.send(data)
+        while True:
+            try:
+                msg = await websocket.recv()
+            except websockets.exceptions.ConnectionClosedError:
+                # logger.info(f"和 {address} 的 websocket 连接已断开")
+                del self.ws_clients[address]
+                break
+            except Exception as e:
+                # logger.info(f"和 {path} 的 websocket 连接发生了错误: {e.__str__()}")
+                del self.ws_clients[address]
+                break
+
+    def run_ws_server(self, loop):
+        asyncio.set_event_loop(loop)
+        loop.run_until_complete(self.ws_server)
+        loop.run_forever()
+
+    def run(self):
+        threading.Thread(target=self.run_ws_server, args=(self.loop,)).start()
+        logger.info("已启动 websocket 服务器")
+        ip_address = gu.get_local_ip_addresses()
+        ip_str = f"http://{ip_address}:6185\n\thttp://localhost:6185"
+        logger.info(
+            f"\n==================\n您可访问:\n\n\t{ip_str}\n\n来登录可视化面板，默认账号密码为空。\n注意: 所有配置项现已全量迁移至 cmd_config.json 文件下，可登录可视化面板在线修改配置。\n==================\n")
+        
+        http_server = make_server(
+            '0.0.0.0', 6185, self.dashboard_be, threaded=True)
+        http_server.serve_forever()

addons/plugins/helloworld/helloworld.py

@@ -0,0 +1,168 @@
+import os
+import shutil
+from nakuru.entities.components import *
+flag_not_support = False
+try:
+    from util.plugin_dev.api.v1.config import *
+    from util.plugin_dev.api.v1.bot import (
+        AstrMessageEvent,
+        CommandResult,
+    )
+except ImportError:
+    flag_not_support = True
+    print("导入接口失败。请升级到 AstrBot 最新版本。")
+
+
+'''
+注意改插件名噢！格式：XXXPlugin 或 Main
+小提示：把此模板仓库 fork 之后 clone 到机器人文件夹下的 addons/plugins/ 目录下，然后用 Pycharm/VSC 等工具打开可获更棒的编程体验（自动补全等）
+'''
+
+
+class HelloWorldPlugin:
+    """
+    初始化函数, 可以选择直接pass
+    """
+
+    def __init__(self) -> None:
+        # 复制旧配置文件到 data 目录下。
+        if os.path.exists("keyword.json"):
+            shutil.move("keyword.json", "data/keyword.json")
+        self.keywords = {}
+        if os.path.exists("data/keyword.json"):
+            self.keywords = json.load(open("data/keyword.json", "r"))
+        else:
+            self.save_keyword()
+
+    """
+    机器人程序会调用此函数。
+    返回规范: bool: 插件是否响应该消息 (所有的消息均会调用每一个载入的插件, 如果不响应, 则应返回 False)
+             Tuple: Non e或者长度为 3 的元组。如果不响应, 返回 None； 如果响应, 第 1 个参数为指令是否调用成功, 第 2 个参数为返回的消息链列表, 第 3 个参数为指令名称
+    例子：一个名为"yuanshen"的插件；当接收到消息为“原神 可莉”, 如果不想要处理此消息，则返回False, None；如果想要处理，但是执行失败了，返回True, tuple([False, "请求失败。", "yuanshen"]) ；执行成功了，返回True, tuple([True, "结果文本", "yuanshen"])
+    """
+
+    def run(self, ame: AstrMessageEvent):
+        if ame.message_str == "helloworld":
+            return CommandResult(
+                hit=True,
+                success=True,
+                message_chain=[Plain("Hello World!!")],
+                command_name="helloworld"
+            )
+        if ame.message_str.startswith("/keyword") or ame.message_str.startswith("keyword"):
+            return self.handle_keyword_command(ame)
+
+        ret = self.check_keyword(ame.message_str)
+        if ret:
+            return ret
+
+        return CommandResult(
+            hit=False,
+            success=False,
+            message_chain=None,
+            command_name=None
+        )
+
+    def handle_keyword_command(self, ame: AstrMessageEvent):
+        l = ame.message_str.split(" ")
+
+        # 获取图片
+        image_url = ""
+        for comp in ame.message_obj.message:
+            if isinstance(comp, Image) and image_url == "":
+                if comp.url is None:
+                    image_url = comp.file
+                else:
+                    image_url = comp.url
+
+        command_result = CommandResult(
+            hit=True,
+            success=False,
+            message_chain=None,
+            command_name="keyword"
+        )
+        if len(l) == 1 or (len(l) == 2 and image_url == ""):
+            ret = """【设置关键词回复】
+示例：
+1. keyword <触发词> <回复词>
+keyword hi 你好
+发送 hi 回复你好
+* 回复词支持图片
+
+2. keyword d <触发词>
+keyword d hi
+删除 hi 触发词产生的回复"""
+            command_result.success = True
+            command_result.message_chain = [Plain(ret)]
+            return command_result
+        elif len(l) == 3 and l[1] == "d":
+            if l[2] not in self.keywords:
+                command_result.message_chain = [Plain(f"关键词 {l[2]} 不存在")]
+                return command_result
+            self.keywords.pop(l[2])
+            self.save_keyword()
+            command_result.success = True
+            command_result.message_chain = [Plain("删除成功")]
+            return command_result
+        else:
+            self.keywords[l[1]] = {
+                "plain_text": " ".join(l[2:]),
+                "image_url": image_url
+            }
+            self.save_keyword()
+            command_result.success = True
+            command_result.message_chain = [Plain("设置成功")]
+            return command_result
+
+    def save_keyword(self):
+        json.dump(self.keywords, open(
+            "data/keyword.json", "w"), ensure_ascii=False)
+
+    def check_keyword(self, message_str: str):
+        for k in self.keywords:
+            if message_str == k:
+                plain_text = ""
+                if 'plain_text' in self.keywords[k]:
+                    plain_text = self.keywords[k]['plain_text']
+                else:
+                    plain_text = self.keywords[k]
+                image_url = ""
+                if 'image_url' in self.keywords[k]:
+                    image_url = self.keywords[k]['image_url']
+                if image_url != "":
+                    res = [Plain(plain_text), Image.fromURL(image_url)]
+                    return CommandResult(
+                        hit=True,
+                        success=True,
+                        message_chain=res,
+                        command_name="keyword"
+                    )
+                return CommandResult(
+                    hit=True,
+                    success=True,
+                    message_chain=[Plain(plain_text)],
+                    command_name="keyword"
+                )
+
+    """
+    插件元信息。
+    当用户输入 plugin v 插件名称 时，会调用此函数，返回帮助信息。
+    返回参数要求(必填)：dict{
+        "name": str, # 插件名称
+        "desc": str, # 插件简短描述
+        "help": str, # 插件帮助信息
+        "version": str, # 插件版本
+        "author": str, # 插件作者
+        "repo": str, # 插件仓库地址 [ 可选 ]
+        "homepage": str, # 插件主页  [ 可选 ]
+    }
+    """
+
+    def info(self):
+        return {
+            "name": "helloworld",
+            "desc": "这是 AstrBot 的默认插件，支持关键词回复。",
+            "help": "输入 /keyword 查看关键词回复帮助。",
+            "version": "v1.3",
+            "author": "Soulter"
+        }

botpy.log

@@ -1,323 +0,0 @@
-2022-12-08 14:29:09,486	[INFO]	(client.py:159)_bot_login	[botpy] 登录机器人账号中...
-2022-12-08 14:29:10,173	[INFO]	(client.py:178)_bot_init	[botpy] 程序启动...
-2022-12-08 14:29:10,174	[INFO]	(connection.py:59)multi_run	[botpy] 最大并发连接数: 1, 启动会话数: 1
-2022-12-08 14:29:10,175	[INFO]	(client.py:236)bot_connect	[botpy] 会话启动中...
-2022-12-08 14:29:10,175	[INFO]	(gateway.py:110)ws_connect	[botpy] 启动中...
-2022-12-08 14:29:10,335	[INFO]	(gateway.py:136)ws_identify	[botpy] 鉴权中...
-2022-12-08 14:29:10,460	[INFO]	(gateway.py:80)on_message	[botpy] 机器人「SoGPT-测试中」启动成功！
-2022-12-08 14:29:10,461	[INFO]	(gateway.py:217)_send_heart	[botpy] 心跳维持启动...
-2022-12-08 16:17:18,117	[INFO]	(client.py:159)_bot_login	[botpy] 登录机器人账号中...
-2022-12-08 16:17:18,355	[ERROR]	(http.py:73)_handle_response	[botpy] 接口请求异常，请求连接: https://api.sgroup.qq.com/users/@me, 错误代码: 401, 返回内容: {'message': 'wrong bot token', 'code': 11242}, trace_id:829d8c60d296a3edcfac3d776dbd8b47
-2022-12-08 16:18:59,759	[INFO]	(client.py:159)_bot_login	[botpy] 登录机器人账号中...
-2022-12-08 16:19:00,266	[INFO]	(client.py:178)_bot_init	[botpy] 程序启动...
-2022-12-08 16:19:00,267	[INFO]	(connection.py:59)multi_run	[botpy] 最大并发连接数: 1, 启动会话数: 1
-2022-12-08 16:19:00,268	[INFO]	(client.py:236)bot_connect	[botpy] 会话启动中...
-2022-12-08 16:19:00,268	[INFO]	(gateway.py:110)ws_connect	[botpy] 启动中...
-2022-12-08 16:19:00,412	[INFO]	(gateway.py:136)ws_identify	[botpy] 鉴权中...
-2022-12-08 16:19:00,522	[INFO]	(gateway.py:80)on_message	[botpy] 机器人「SoGPT-测试中」启动成功！
-2022-12-08 16:19:00,522	[INFO]	(gateway.py:217)_send_heart	[botpy] 心跳维持启动...
-2022-12-08 16:20:14,446	[INFO]	(client.py:159)_bot_login	[botpy] 登录机器人账号中...
-2022-12-08 16:20:15,035	[INFO]	(client.py:178)_bot_init	[botpy] 程序启动...
-2022-12-08 16:20:15,036	[INFO]	(connection.py:59)multi_run	[botpy] 最大并发连接数: 1, 启动会话数: 1
-2022-12-08 16:20:15,037	[INFO]	(client.py:236)bot_connect	[botpy] 会话启动中...
-2022-12-08 16:20:15,037	[INFO]	(gateway.py:110)ws_connect	[botpy] 启动中...
-2022-12-08 16:20:15,232	[INFO]	(gateway.py:136)ws_identify	[botpy] 鉴权中...
-2022-12-08 16:20:15,320	[INFO]	(gateway.py:80)on_message	[botpy] 机器人「SoGPT-测试中」启动成功！
-2022-12-08 16:20:15,321	[INFO]	(gateway.py:217)_send_heart	[botpy] 心跳维持启动...
-2022-12-08 16:42:06,957	[INFO]	(client.py:159)_bot_login	[botpy] 登录机器人账号中...
-2022-12-08 16:42:07,468	[INFO]	(client.py:178)_bot_init	[botpy] 程序启动...
-2022-12-08 16:42:07,469	[INFO]	(connection.py:59)multi_run	[botpy] 最大并发连接数: 1, 启动会话数: 1
-2022-12-08 16:42:07,469	[INFO]	(client.py:236)bot_connect	[botpy] 会话启动中...
-2022-12-08 16:42:07,470	[INFO]	(gateway.py:110)ws_connect	[botpy] 启动中...
-2022-12-08 16:42:07,672	[INFO]	(gateway.py:136)ws_identify	[botpy] 鉴权中...
-2022-12-08 16:42:07,862	[INFO]	(gateway.py:80)on_message	[botpy] 机器人「SoGPT-测试中」启动成功！
-2022-12-08 16:42:07,863	[INFO]	(gateway.py:217)_send_heart	[botpy] 心跳维持启动...
-2022-12-08 16:45:44,758	[INFO]	(client.py:159)_bot_login	[botpy] 登录机器人账号中...
-2022-12-08 16:45:45,439	[INFO]	(client.py:178)_bot_init	[botpy] 程序启动...
-2022-12-08 16:45:45,440	[INFO]	(connection.py:59)multi_run	[botpy] 最大并发连接数: 1, 启动会话数: 1
-2022-12-08 16:45:45,441	[INFO]	(client.py:236)bot_connect	[botpy] 会话启动中...
-2022-12-08 16:45:45,441	[INFO]	(gateway.py:110)ws_connect	[botpy] 启动中...
-2022-12-08 16:45:45,751	[INFO]	(gateway.py:136)ws_identify	[botpy] 鉴权中...
-2022-12-08 16:45:45,858	[INFO]	(gateway.py:80)on_message	[botpy] 机器人「SoGPT-测试中」启动成功！
-2022-12-08 16:45:45,859	[INFO]	(gateway.py:217)_send_heart	[botpy] 心跳维持启动...
-2022-12-08 16:47:16,567	[INFO]	(client.py:159)_bot_login	[botpy] 登录机器人账号中...
-2022-12-08 16:47:17,008	[INFO]	(client.py:178)_bot_init	[botpy] 程序启动...
-2022-12-08 16:47:17,009	[INFO]	(connection.py:59)multi_run	[botpy] 最大并发连接数: 1, 启动会话数: 1
-2022-12-08 16:47:17,009	[INFO]	(client.py:236)bot_connect	[botpy] 会话启动中...
-2022-12-08 16:47:17,010	[INFO]	(gateway.py:110)ws_connect	[botpy] 启动中...
-2022-12-08 16:47:17,187	[INFO]	(gateway.py:136)ws_identify	[botpy] 鉴权中...
-2022-12-08 16:47:17,284	[INFO]	(gateway.py:80)on_message	[botpy] 机器人「SoGPT-测试中」启动成功！
-2022-12-08 16:47:17,285	[INFO]	(gateway.py:217)_send_heart	[botpy] 心跳维持启动...
-2022-12-08 16:48:39,358	[INFO]	(client.py:159)_bot_login	[botpy] 登录机器人账号中...
-2022-12-08 16:48:45,366	[WARNING]	(http.py:188)request	请求超时，请求连接: https://api.sgroup.qq.com/gateway/bot
-2022-12-08 16:48:53,301	[INFO]	(client.py:159)_bot_login	[botpy] 登录机器人账号中...
-2022-12-08 16:48:53,789	[INFO]	(client.py:178)_bot_init	[botpy] 程序启动...
-2022-12-08 16:48:53,790	[INFO]	(connection.py:59)multi_run	[botpy] 最大并发连接数: 1, 启动会话数: 1
-2022-12-08 16:48:53,791	[INFO]	(client.py:236)bot_connect	[botpy] 会话启动中...
-2022-12-08 16:48:53,791	[INFO]	(gateway.py:110)ws_connect	[botpy] 启动中...
-2022-12-08 16:48:53,969	[INFO]	(gateway.py:136)ws_identify	[botpy] 鉴权中...
-2022-12-08 16:48:54,062	[INFO]	(gateway.py:80)on_message	[botpy] 机器人「SoGPT-测试中」启动成功！
-2022-12-08 16:48:54,063	[INFO]	(gateway.py:217)_send_heart	[botpy] 心跳维持启动...
-2022-12-08 16:49:26,466	[ERROR]	(http.py:73)_handle_response	[botpy] 接口请求异常，请求连接: https://api.sgroup.qq.com/channels/7150805/messages, 错误代码: 403, 返回内容: {'code': 304003, 'message': 'url not allowed'}, trace_id:b201dd7b37649dcf47b82d54c58bc5dd
-2022-12-08 16:51:59,155	[INFO]	(client.py:159)_bot_login	[botpy] 登录机器人账号中...
-2022-12-08 16:51:59,728	[INFO]	(client.py:178)_bot_init	[botpy] 程序启动...
-2022-12-08 16:51:59,729	[INFO]	(connection.py:59)multi_run	[botpy] 最大并发连接数: 1, 启动会话数: 1
-2022-12-08 16:51:59,730	[INFO]	(client.py:236)bot_connect	[botpy] 会话启动中...
-2022-12-08 16:51:59,730	[INFO]	(gateway.py:110)ws_connect	[botpy] 启动中...
-2022-12-08 16:51:59,887	[INFO]	(gateway.py:136)ws_identify	[botpy] 鉴权中...
-2022-12-08 16:52:00,022	[INFO]	(gateway.py:80)on_message	[botpy] 机器人「SoGPT-测试中」启动成功！
-2022-12-08 16:52:00,023	[INFO]	(gateway.py:217)_send_heart	[botpy] 心跳维持启动...
-2022-12-08 16:52:28,760	[ERROR]	(http.py:73)_handle_response	[botpy] 接口请求异常，请求连接: https://api.sgroup.qq.com/channels/7150805/messages, 错误代码: 403, 返回内容: {'code': 304003, 'message': 'url not allowed'}, trace_id:e62b072c9f0184f6bf7dd03a00fc0ef3
-2022-12-08 16:53:53,370	[INFO]	(client.py:159)_bot_login	[botpy] 登录机器人账号中...
-2022-12-08 16:53:53,890	[INFO]	(client.py:178)_bot_init	[botpy] 程序启动...
-2022-12-08 16:53:53,891	[INFO]	(connection.py:59)multi_run	[botpy] 最大并发连接数: 1, 启动会话数: 1
-2022-12-08 16:53:53,892	[INFO]	(client.py:236)bot_connect	[botpy] 会话启动中...
-2022-12-08 16:53:53,892	[INFO]	(gateway.py:110)ws_connect	[botpy] 启动中...
-2022-12-08 16:53:54,101	[INFO]	(gateway.py:136)ws_identify	[botpy] 鉴权中...
-2022-12-08 16:53:54,194	[INFO]	(gateway.py:80)on_message	[botpy] 机器人「SoGPT-测试中」启动成功！
-2022-12-08 16:53:54,195	[INFO]	(gateway.py:217)_send_heart	[botpy] 心跳维持启动...
-2022-12-08 16:54:26,287	[ERROR]	(http.py:73)_handle_response	[botpy] 接口请求异常，请求连接: https://api.sgroup.qq.com/channels/7150805/messages, 错误代码: 501, 返回内容: None, trace_id:None
-2022-12-08 16:55:01,062	[INFO]	(client.py:159)_bot_login	[botpy] 登录机器人账号中...
-2022-12-08 16:55:01,601	[INFO]	(client.py:178)_bot_init	[botpy] 程序启动...
-2022-12-08 16:55:01,601	[INFO]	(connection.py:59)multi_run	[botpy] 最大并发连接数: 1, 启动会话数: 1
-2022-12-08 16:55:01,602	[INFO]	(client.py:236)bot_connect	[botpy] 会话启动中...
-2022-12-08 16:55:01,603	[INFO]	(gateway.py:110)ws_connect	[botpy] 启动中...
-2022-12-08 16:55:01,742	[INFO]	(gateway.py:136)ws_identify	[botpy] 鉴权中...
-2022-12-08 16:55:01,816	[INFO]	(gateway.py:80)on_message	[botpy] 机器人「SoGPT-测试中」启动成功！
-2022-12-08 16:55:01,817	[INFO]	(gateway.py:217)_send_heart	[botpy] 心跳维持启动...
-2022-12-08 17:00:29,939	[INFO]	(client.py:159)_bot_login	[botpy] 登录机器人账号中...
-2022-12-08 17:00:30,583	[INFO]	(client.py:178)_bot_init	[botpy] 程序启动...
-2022-12-08 17:00:30,584	[INFO]	(connection.py:59)multi_run	[botpy] 最大并发连接数: 1, 启动会话数: 1
-2022-12-08 17:00:30,585	[INFO]	(client.py:236)bot_connect	[botpy] 会话启动中...
-2022-12-08 17:00:30,585	[INFO]	(gateway.py:110)ws_connect	[botpy] 启动中...
-2022-12-08 17:00:30,839	[INFO]	(gateway.py:136)ws_identify	[botpy] 鉴权中...
-2022-12-08 17:00:30,943	[INFO]	(gateway.py:80)on_message	[botpy] 机器人「SoGPT-测试中」启动成功！
-2022-12-08 17:00:30,944	[INFO]	(gateway.py:217)_send_heart	[botpy] 心跳维持启动...
-2022-12-08 17:00:53,548	[ERROR]	(http.py:73)_handle_response	[botpy] 接口请求异常，请求连接: https://api.sgroup.qq.com/channels/7150658/messages, 错误代码: 403, 返回内容: {'code': 304003, 'message': 'url not allowed'}, trace_id:2ea547d78364cea60583ed450e589a17
-2022-12-08 17:10:31,405	[INFO]	(client.py:159)_bot_login	[botpy] 登录机器人账号中...
-2022-12-08 17:10:32,081	[INFO]	(client.py:178)_bot_init	[botpy] 程序启动...
-2022-12-08 17:10:32,082	[INFO]	(connection.py:59)multi_run	[botpy] 最大并发连接数: 1, 启动会话数: 1
-2022-12-08 17:10:32,083	[INFO]	(client.py:236)bot_connect	[botpy] 会话启动中...
-2022-12-08 17:10:32,083	[INFO]	(gateway.py:110)ws_connect	[botpy] 启动中...
-2022-12-08 17:10:32,342	[INFO]	(gateway.py:136)ws_identify	[botpy] 鉴权中...
-2022-12-08 17:10:32,449	[INFO]	(gateway.py:80)on_message	[botpy] 机器人「SoGPT-测试中」启动成功！
-2022-12-08 17:10:32,450	[INFO]	(gateway.py:217)_send_heart	[botpy] 心跳维持启动...
-2022-12-08 17:13:47,495	[INFO]	(client.py:159)_bot_login	[botpy] 登录机器人账号中...
-2022-12-08 17:13:47,993	[INFO]	(client.py:178)_bot_init	[botpy] 程序启动...
-2022-12-08 17:13:47,994	[INFO]	(connection.py:59)multi_run	[botpy] 最大并发连接数: 1, 启动会话数: 1
-2022-12-08 17:13:47,995	[INFO]	(client.py:236)bot_connect	[botpy] 会话启动中...
-2022-12-08 17:13:47,995	[INFO]	(gateway.py:110)ws_connect	[botpy] 启动中...
-2022-12-08 17:13:48,198	[INFO]	(gateway.py:136)ws_identify	[botpy] 鉴权中...
-2022-12-08 17:13:48,300	[INFO]	(gateway.py:80)on_message	[botpy] 机器人「SoGPT-测试中」启动成功！
-2022-12-08 17:13:48,302	[INFO]	(gateway.py:217)_send_heart	[botpy] 心跳维持启动...
-2022-12-08 17:16:31,326	[ERROR]	(http.py:73)_handle_response	[botpy] 接口请求异常，请求连接: https://api.sgroup.qq.com/channels/7150658/messages, 错误代码: 501, 返回内容: None, trace_id:None
-2022-12-08 17:22:03,924	[INFO]	(client.py:159)_bot_login	[botpy] 登录机器人账号中...
-2022-12-08 17:22:04,671	[INFO]	(client.py:178)_bot_init	[botpy] 程序启动...
-2022-12-08 17:22:04,672	[INFO]	(connection.py:59)multi_run	[botpy] 最大并发连接数: 1, 启动会话数: 1
-2022-12-08 17:22:04,673	[INFO]	(client.py:236)bot_connect	[botpy] 会话启动中...
-2022-12-08 17:22:04,673	[INFO]	(gateway.py:110)ws_connect	[botpy] 启动中...
-2022-12-08 17:22:04,856	[INFO]	(gateway.py:136)ws_identify	[botpy] 鉴权中...
-2022-12-08 17:22:04,958	[INFO]	(gateway.py:80)on_message	[botpy] 机器人「SoGPT-测试中」启动成功！
-2022-12-08 17:22:04,959	[INFO]	(gateway.py:217)_send_heart	[botpy] 心跳维持启动...
-2022-12-08 17:52:04,868	[INFO]	(gateway.py:54)on_closed	[botpy] 关闭, 返回码: 4009, 返回信息: Session timed out
-2022-12-08 17:52:09,874	[INFO]	(connection.py:59)multi_run	[botpy] 最大并发连接数: 1, 启动会话数: 1
-2022-12-08 17:52:09,876	[INFO]	(client.py:236)bot_connect	[botpy] 会话启动中...
-2022-12-08 17:52:09,877	[INFO]	(gateway.py:110)ws_connect	[botpy] 启动中...
-2022-12-08 17:52:10,104	[INFO]	(gateway.py:169)ws_resume	[botpy] 重连启动...
-2022-12-08 17:52:10,170	[INFO]	(gateway.py:85)on_message	[botpy] 机器人重连成功! 
-2022-12-08 17:52:10,171	[INFO]	(gateway.py:217)_send_heart	[botpy] 心跳维持启动...
-2022-12-08 18:00:00,757	[INFO]	(client.py:159)_bot_login	[botpy] 登录机器人账号中...
-2022-12-08 18:00:01,443	[INFO]	(client.py:178)_bot_init	[botpy] 程序启动...
-2022-12-08 18:00:01,443	[INFO]	(connection.py:59)multi_run	[botpy] 最大并发连接数: 1, 启动会话数: 1
-2022-12-08 18:00:01,444	[INFO]	(client.py:236)bot_connect	[botpy] 会话启动中...
-2022-12-08 18:00:01,445	[INFO]	(gateway.py:110)ws_connect	[botpy] 启动中...
-2022-12-08 18:00:01,602	[INFO]	(gateway.py:136)ws_identify	[botpy] 鉴权中...
-2022-12-08 18:00:01,823	[INFO]	(gateway.py:80)on_message	[botpy] 机器人「SoGPT-测试中」启动成功！
-2022-12-08 18:00:01,824	[INFO]	(gateway.py:217)_send_heart	[botpy] 心跳维持启动...
-2022-12-08 18:03:13,211	[INFO]	(client.py:159)_bot_login	[botpy] 登录机器人账号中...
-2022-12-08 18:03:14,082	[INFO]	(client.py:178)_bot_init	[botpy] 程序启动...
-2022-12-08 18:03:14,084	[INFO]	(connection.py:59)multi_run	[botpy] 最大并发连接数: 1, 启动会话数: 1
-2022-12-08 18:03:14,084	[INFO]	(client.py:236)bot_connect	[botpy] 会话启动中...
-2022-12-08 18:03:14,085	[INFO]	(gateway.py:110)ws_connect	[botpy] 启动中...
-2022-12-08 18:03:14,289	[INFO]	(gateway.py:136)ws_identify	[botpy] 鉴权中...
-2022-12-08 18:03:14,498	[INFO]	(gateway.py:80)on_message	[botpy] 机器人「SoGPT-测试中」启动成功！
-2022-12-08 18:03:14,499	[INFO]	(gateway.py:217)_send_heart	[botpy] 心跳维持启动...
-2022-12-08 18:16:29,246	[INFO]	(client.py:159)_bot_login	[botpy] 登录机器人账号中...
-2022-12-08 18:16:30,054	[INFO]	(client.py:178)_bot_init	[botpy] 程序启动...
-2022-12-08 18:16:30,055	[INFO]	(connection.py:59)multi_run	[botpy] 最大并发连接数: 1, 启动会话数: 1
-2022-12-08 18:16:30,056	[INFO]	(client.py:236)bot_connect	[botpy] 会话启动中...
-2022-12-08 18:16:30,056	[INFO]	(gateway.py:110)ws_connect	[botpy] 启动中...
-2022-12-08 18:16:30,293	[INFO]	(gateway.py:136)ws_identify	[botpy] 鉴权中...
-2022-12-08 18:16:30,424	[INFO]	(gateway.py:80)on_message	[botpy] 机器人「SoGPT-测试中」启动成功！
-2022-12-08 18:16:30,424	[INFO]	(gateway.py:217)_send_heart	[botpy] 心跳维持启动...
-2022-12-08 18:16:41,898	[ERROR]	(http.py:73)_handle_response	[botpy] 接口请求异常，请求连接: https://api.sgroup.qq.com/channels/7150658/messages, 错误代码: 403, 返回内容: {'code': 304003, 'message': 'url not allowed'}, trace_id:3cc9fc95ac27cbbc1f1667f1aa11bf8d
-2022-12-08 18:18:16,615	[INFO]	(client.py:159)_bot_login	[botpy] 登录机器人账号中...
-2022-12-08 18:18:17,399	[INFO]	(client.py:178)_bot_init	[botpy] 程序启动...
-2022-12-08 18:18:17,400	[INFO]	(connection.py:59)multi_run	[botpy] 最大并发连接数: 1, 启动会话数: 1
-2022-12-08 18:18:17,400	[INFO]	(client.py:236)bot_connect	[botpy] 会话启动中...
-2022-12-08 18:18:17,401	[INFO]	(gateway.py:110)ws_connect	[botpy] 启动中...
-2022-12-08 18:18:17,606	[INFO]	(gateway.py:136)ws_identify	[botpy] 鉴权中...
-2022-12-08 18:18:17,731	[INFO]	(gateway.py:80)on_message	[botpy] 机器人「SoGPT-测试中」启动成功！
-2022-12-08 18:18:17,732	[INFO]	(gateway.py:217)_send_heart	[botpy] 心跳维持启动...
-2022-12-08 18:19:07,357	[INFO]	(client.py:159)_bot_login	[botpy] 登录机器人账号中...
-2022-12-08 18:19:07,941	[INFO]	(client.py:178)_bot_init	[botpy] 程序启动...
-2022-12-08 18:19:07,942	[INFO]	(connection.py:59)multi_run	[botpy] 最大并发连接数: 1, 启动会话数: 1
-2022-12-08 18:19:07,942	[INFO]	(client.py:236)bot_connect	[botpy] 会话启动中...
-2022-12-08 18:19:07,943	[INFO]	(gateway.py:110)ws_connect	[botpy] 启动中...
-2022-12-08 18:19:08,247	[INFO]	(gateway.py:136)ws_identify	[botpy] 鉴权中...
-2022-12-08 18:19:08,335	[INFO]	(gateway.py:80)on_message	[botpy] 机器人「SoGPT-测试中」启动成功！
-2022-12-08 18:19:08,336	[INFO]	(gateway.py:217)_send_heart	[botpy] 心跳维持启动...
-2022-12-08 18:20:46,416	[INFO]	(client.py:159)_bot_login	[botpy] 登录机器人账号中...
-2022-12-08 18:20:47,023	[INFO]	(client.py:178)_bot_init	[botpy] 程序启动...
-2022-12-08 18:20:47,023	[INFO]	(connection.py:59)multi_run	[botpy] 最大并发连接数: 1, 启动会话数: 1
-2022-12-08 18:20:47,024	[INFO]	(client.py:236)bot_connect	[botpy] 会话启动中...
-2022-12-08 18:20:47,025	[INFO]	(gateway.py:110)ws_connect	[botpy] 启动中...
-2022-12-08 18:20:47,475	[INFO]	(gateway.py:136)ws_identify	[botpy] 鉴权中...
-2022-12-08 18:20:47,640	[INFO]	(gateway.py:80)on_message	[botpy] 机器人「SoGPT-测试中」启动成功！
-2022-12-08 18:20:47,641	[INFO]	(gateway.py:217)_send_heart	[botpy] 心跳维持启动...
-2022-12-08 18:21:24,437	[INFO]	(client.py:159)_bot_login	[botpy] 登录机器人账号中...
-2022-12-08 18:21:24,991	[INFO]	(client.py:178)_bot_init	[botpy] 程序启动...
-2022-12-08 18:21:24,992	[INFO]	(connection.py:59)multi_run	[botpy] 最大并发连接数: 1, 启动会话数: 1
-2022-12-08 18:21:24,993	[INFO]	(client.py:236)bot_connect	[botpy] 会话启动中...
-2022-12-08 18:21:24,993	[INFO]	(gateway.py:110)ws_connect	[botpy] 启动中...
-2022-12-08 18:21:25,165	[INFO]	(gateway.py:136)ws_identify	[botpy] 鉴权中...
-2022-12-08 18:21:25,265	[INFO]	(gateway.py:80)on_message	[botpy] 机器人「SoGPT-测试中」启动成功！
-2022-12-08 18:21:25,266	[INFO]	(gateway.py:217)_send_heart	[botpy] 心跳维持启动...
-2022-12-08 18:24:18,469	[INFO]	(client.py:159)_bot_login	[botpy] 登录机器人账号中...
-2022-12-08 18:24:19,076	[INFO]	(client.py:178)_bot_init	[botpy] 程序启动...
-2022-12-08 18:24:19,077	[INFO]	(connection.py:59)multi_run	[botpy] 最大并发连接数: 1, 启动会话数: 1
-2022-12-08 18:24:19,077	[INFO]	(client.py:236)bot_connect	[botpy] 会话启动中...
-2022-12-08 18:24:19,078	[INFO]	(gateway.py:110)ws_connect	[botpy] 启动中...
-2022-12-08 18:24:19,252	[INFO]	(gateway.py:136)ws_identify	[botpy] 鉴权中...
-2022-12-08 18:24:19,339	[INFO]	(gateway.py:80)on_message	[botpy] 机器人「SoGPT-测试中」启动成功！
-2022-12-08 18:24:19,341	[INFO]	(gateway.py:217)_send_heart	[botpy] 心跳维持启动...
-2022-12-08 18:27:13,898	[INFO]	(client.py:159)_bot_login	[botpy] 登录机器人账号中...
-2022-12-08 18:27:14,553	[INFO]	(client.py:178)_bot_init	[botpy] 程序启动...
-2022-12-08 18:27:14,554	[INFO]	(connection.py:59)multi_run	[botpy] 最大并发连接数: 1, 启动会话数: 1
-2022-12-08 18:27:14,554	[INFO]	(client.py:236)bot_connect	[botpy] 会话启动中...
-2022-12-08 18:27:14,555	[INFO]	(gateway.py:110)ws_connect	[botpy] 启动中...
-2022-12-08 18:27:14,747	[INFO]	(gateway.py:136)ws_identify	[botpy] 鉴权中...
-2022-12-08 18:27:14,850	[INFO]	(gateway.py:80)on_message	[botpy] 机器人「SoGPT-测试中」启动成功！
-2022-12-08 18:27:14,851	[INFO]	(gateway.py:217)_send_heart	[botpy] 心跳维持启动...
-2022-12-08 18:30:47,647	[INFO]	(client.py:159)_bot_login	[botpy] 登录机器人账号中...
-2022-12-08 18:30:48,327	[INFO]	(client.py:178)_bot_init	[botpy] 程序启动...
-2022-12-08 18:30:48,328	[INFO]	(connection.py:59)multi_run	[botpy] 最大并发连接数: 1, 启动会话数: 1
-2022-12-08 18:30:48,329	[INFO]	(client.py:236)bot_connect	[botpy] 会话启动中...
-2022-12-08 18:30:48,330	[INFO]	(gateway.py:110)ws_connect	[botpy] 启动中...
-2022-12-08 18:30:48,736	[INFO]	(gateway.py:136)ws_identify	[botpy] 鉴权中...
-2022-12-08 18:30:48,873	[INFO]	(gateway.py:80)on_message	[botpy] 机器人「SoGPT-测试中」启动成功！
-2022-12-08 18:30:48,874	[INFO]	(gateway.py:217)_send_heart	[botpy] 心跳维持启动...
-2022-12-08 18:31:57,250	[INFO]	(client.py:159)_bot_login	[botpy] 登录机器人账号中...
-2022-12-08 18:31:57,955	[INFO]	(client.py:178)_bot_init	[botpy] 程序启动...
-2022-12-08 18:31:57,956	[INFO]	(connection.py:59)multi_run	[botpy] 最大并发连接数: 1, 启动会话数: 1
-2022-12-08 18:31:57,957	[INFO]	(client.py:236)bot_connect	[botpy] 会话启动中...
-2022-12-08 18:31:57,957	[INFO]	(gateway.py:110)ws_connect	[botpy] 启动中...
-2022-12-08 18:31:58,165	[INFO]	(gateway.py:136)ws_identify	[botpy] 鉴权中...
-2022-12-08 18:31:58,269	[INFO]	(gateway.py:80)on_message	[botpy] 机器人「SoGPT-测试中」启动成功！
-2022-12-08 18:31:58,270	[INFO]	(gateway.py:217)_send_heart	[botpy] 心跳维持启动...
-2022-12-08 19:01:58,099	[INFO]	(gateway.py:54)on_closed	[botpy] 关闭, 返回码: 4009, 返回信息: Session timed out
-2022-12-08 19:02:03,110	[INFO]	(connection.py:59)multi_run	[botpy] 最大并发连接数: 1, 启动会话数: 1
-2022-12-08 19:02:03,111	[INFO]	(client.py:236)bot_connect	[botpy] 会话启动中...
-2022-12-08 19:02:03,111	[INFO]	(gateway.py:110)ws_connect	[botpy] 启动中...
-2022-12-08 19:02:03,314	[INFO]	(gateway.py:169)ws_resume	[botpy] 重连启动...
-2022-12-08 19:02:03,381	[INFO]	(gateway.py:85)on_message	[botpy] 机器人重连成功! 
-2022-12-08 19:02:03,382	[INFO]	(gateway.py:217)_send_heart	[botpy] 心跳维持启动...
-2022-12-08 19:32:03,274	[INFO]	(gateway.py:54)on_closed	[botpy] 关闭, 返回码: 4009, 返回信息: Session timed out
-2022-12-08 19:32:08,271	[INFO]	(connection.py:59)multi_run	[botpy] 最大并发连接数: 1, 启动会话数: 1
-2022-12-08 19:32:08,272	[INFO]	(client.py:236)bot_connect	[botpy] 会话启动中...
-2022-12-08 19:32:08,272	[INFO]	(gateway.py:110)ws_connect	[botpy] 启动中...
-2022-12-08 19:32:08,534	[INFO]	(gateway.py:169)ws_resume	[botpy] 重连启动...
-2022-12-08 19:32:08,604	[INFO]	(gateway.py:85)on_message	[botpy] 机器人重连成功! 
-2022-12-08 19:32:08,605	[INFO]	(gateway.py:217)_send_heart	[botpy] 心跳维持启动...
-2022-12-08 20:02:08,495	[INFO]	(gateway.py:54)on_closed	[botpy] 关闭, 返回码: 4009, 返回信息: Session timed out
-2022-12-08 20:02:13,497	[INFO]	(connection.py:59)multi_run	[botpy] 最大并发连接数: 1, 启动会话数: 1
-2022-12-08 20:02:13,497	[INFO]	(client.py:236)bot_connect	[botpy] 会话启动中...
-2022-12-08 20:02:13,498	[INFO]	(gateway.py:110)ws_connect	[botpy] 启动中...
-2022-12-08 20:02:13,797	[INFO]	(gateway.py:169)ws_resume	[botpy] 重连启动...
-2022-12-08 20:02:13,914	[INFO]	(gateway.py:85)on_message	[botpy] 机器人重连成功! 
-2022-12-08 20:02:13,915	[INFO]	(gateway.py:217)_send_heart	[botpy] 心跳维持启动...
-2022-12-08 20:31:53,159	[INFO]	(client.py:159)_bot_login	[botpy] 登录机器人账号中...
-2022-12-08 20:31:58,306	[INFO]	(client.py:178)_bot_init	[botpy] 程序启动...
-2022-12-08 20:31:58,307	[INFO]	(connection.py:59)multi_run	[botpy] 最大并发连接数: 1, 启动会话数: 1
-2022-12-08 20:31:58,308	[INFO]	(client.py:236)bot_connect	[botpy] 会话启动中...
-2022-12-08 20:31:58,308	[INFO]	(gateway.py:110)ws_connect	[botpy] 启动中...
-2022-12-08 20:31:58,748	[INFO]	(gateway.py:136)ws_identify	[botpy] 鉴权中...
-2022-12-08 20:31:58,924	[INFO]	(gateway.py:80)on_message	[botpy] 机器人「SoGPT-测试中」启动成功！
-2022-12-08 20:31:58,925	[INFO]	(gateway.py:217)_send_heart	[botpy] 心跳维持启动...
-2022-12-08 20:34:26,596	[INFO]	(client.py:159)_bot_login	[botpy] 登录机器人账号中...
-2022-12-08 20:34:27,610	[INFO]	(client.py:178)_bot_init	[botpy] 程序启动...
-2022-12-08 20:34:27,611	[INFO]	(connection.py:59)multi_run	[botpy] 最大并发连接数: 1, 启动会话数: 1
-2022-12-08 20:34:27,613	[INFO]	(client.py:236)bot_connect	[botpy] 会话启动中...
-2022-12-08 20:34:27,613	[INFO]	(gateway.py:110)ws_connect	[botpy] 启动中...
-2022-12-08 20:34:27,919	[INFO]	(gateway.py:136)ws_identify	[botpy] 鉴权中...
-2022-12-08 20:34:28,022	[INFO]	(gateway.py:80)on_message	[botpy] 机器人「SoGPT-测试中」启动成功！
-2022-12-08 20:34:28,023	[INFO]	(gateway.py:217)_send_heart	[botpy] 心跳维持启动...
-2022-12-08 20:35:47,952	[INFO]	(client.py:159)_bot_login	[botpy] 登录机器人账号中...
-2022-12-08 20:35:48,499	[INFO]	(client.py:178)_bot_init	[botpy] 程序启动...
-2022-12-08 20:35:48,500	[INFO]	(connection.py:59)multi_run	[botpy] 最大并发连接数: 1, 启动会话数: 1
-2022-12-08 20:35:48,500	[INFO]	(client.py:236)bot_connect	[botpy] 会话启动中...
-2022-12-08 20:35:48,501	[INFO]	(gateway.py:110)ws_connect	[botpy] 启动中...
-2022-12-08 20:35:48,723	[INFO]	(gateway.py:136)ws_identify	[botpy] 鉴权中...
-2022-12-08 20:35:48,793	[INFO]	(gateway.py:80)on_message	[botpy] 机器人「SoGPT-测试中」启动成功！
-2022-12-08 20:35:48,794	[INFO]	(gateway.py:217)_send_heart	[botpy] 心跳维持启动...
-2022-12-08 20:55:03,450	[ERROR]	(http.py:73)_handle_response	[botpy] 接口请求异常，请求连接: https://api.sgroup.qq.com/channels/7150658/messages, 错误代码: 403, 返回内容: {'code': 304003, 'message': 'url not allowed'}, trace_id:c4c4d23f9b2829d03ae9a7dca0184fe9
-2022-12-08 21:05:48,678	[INFO]	(gateway.py:54)on_closed	[botpy] 关闭, 返回码: 4009, 返回信息: Session timed out
-2022-12-08 21:05:53,700	[INFO]	(connection.py:59)multi_run	[botpy] 最大并发连接数: 1, 启动会话数: 1
-2022-12-08 21:05:53,701	[INFO]	(client.py:236)bot_connect	[botpy] 会话启动中...
-2022-12-08 21:05:53,702	[INFO]	(gateway.py:110)ws_connect	[botpy] 启动中...
-2022-12-08 21:05:54,145	[INFO]	(gateway.py:169)ws_resume	[botpy] 重连启动...
-2022-12-08 21:05:54,232	[INFO]	(gateway.py:85)on_message	[botpy] 机器人重连成功! 
-2022-12-08 21:05:54,233	[INFO]	(gateway.py:217)_send_heart	[botpy] 心跳维持启动...
-2022-12-08 21:07:39,468	[INFO]	(client.py:159)_bot_login	[botpy] 登录机器人账号中...
-2022-12-08 21:07:40,244	[INFO]	(client.py:178)_bot_init	[botpy] 程序启动...
-2022-12-08 21:07:40,245	[INFO]	(connection.py:59)multi_run	[botpy] 最大并发连接数: 1, 启动会话数: 1
-2022-12-08 21:07:40,246	[INFO]	(client.py:236)bot_connect	[botpy] 会话启动中...
-2022-12-08 21:07:40,247	[INFO]	(gateway.py:110)ws_connect	[botpy] 启动中...
-2022-12-08 21:07:40,553	[INFO]	(gateway.py:136)ws_identify	[botpy] 鉴权中...
-2022-12-08 21:07:40,659	[INFO]	(gateway.py:80)on_message	[botpy] 机器人「SoGPT-测试中」启动成功！
-2022-12-08 21:07:40,660	[INFO]	(gateway.py:217)_send_heart	[botpy] 心跳维持启动...
-2022-12-08 21:30:11,249	[INFO]	(client.py:159)_bot_login	[botpy] 登录机器人账号中...
-2022-12-08 21:30:12,217	[INFO]	(client.py:178)_bot_init	[botpy] 程序启动...
-2022-12-08 21:30:12,218	[INFO]	(connection.py:59)multi_run	[botpy] 最大并发连接数: 1, 启动会话数: 1
-2022-12-08 21:30:12,219	[INFO]	(client.py:236)bot_connect	[botpy] 会话启动中...
-2022-12-08 21:30:12,219	[INFO]	(gateway.py:110)ws_connect	[botpy] 启动中...
-2022-12-08 21:30:12,627	[INFO]	(gateway.py:136)ws_identify	[botpy] 鉴权中...
-2022-12-08 21:30:12,730	[INFO]	(gateway.py:80)on_message	[botpy] 机器人「SoGPT-测试中」启动成功！
-2022-12-08 21:30:12,731	[INFO]	(gateway.py:217)_send_heart	[botpy] 心跳维持启动...
-2022-12-08 21:36:34,660	[ERROR]	(http.py:73)_handle_response	[botpy] 接口请求异常，请求连接: https://api.sgroup.qq.com/channels/7150658/messages, 错误代码: 501, 返回内容: None, trace_id:None
-2022-12-08 21:38:39,294	[ERROR]	(http.py:73)_handle_response	[botpy] 接口请求异常，请求连接: https://api.sgroup.qq.com/channels/7150658/messages, 错误代码: 501, 返回内容: None, trace_id:None
-2022-12-08 21:39:43,233	[INFO]	(client.py:159)_bot_login	[botpy] 登录机器人账号中...
-2022-12-08 21:39:43,878	[INFO]	(client.py:178)_bot_init	[botpy] 程序启动...
-2022-12-08 21:39:43,879	[INFO]	(connection.py:59)multi_run	[botpy] 最大并发连接数: 1, 启动会话数: 1
-2022-12-08 21:39:43,880	[INFO]	(client.py:236)bot_connect	[botpy] 会话启动中...
-2022-12-08 21:39:43,880	[INFO]	(gateway.py:110)ws_connect	[botpy] 启动中...
-2022-12-08 21:39:44,099	[INFO]	(gateway.py:136)ws_identify	[botpy] 鉴权中...
-2022-12-08 21:39:44,279	[INFO]	(gateway.py:80)on_message	[botpy] 机器人「SoGPT-测试中」启动成功！
-2022-12-08 21:39:44,281	[INFO]	(gateway.py:217)_send_heart	[botpy] 心跳维持启动...
-2022-12-08 21:40:38,103	[INFO]	(client.py:159)_bot_login	[botpy] 登录机器人账号中...
-2022-12-08 21:40:39,100	[INFO]	(client.py:178)_bot_init	[botpy] 程序启动...
-2022-12-08 21:40:39,101	[INFO]	(connection.py:59)multi_run	[botpy] 最大并发连接数: 1, 启动会话数: 1
-2022-12-08 21:40:39,102	[INFO]	(client.py:236)bot_connect	[botpy] 会话启动中...
-2022-12-08 21:40:39,102	[INFO]	(gateway.py:110)ws_connect	[botpy] 启动中...
-2022-12-08 21:40:39,402	[INFO]	(gateway.py:136)ws_identify	[botpy] 鉴权中...
-2022-12-08 21:40:39,502	[INFO]	(gateway.py:80)on_message	[botpy] 机器人「SoGPT-测试中」启动成功！
-2022-12-08 21:40:39,503	[INFO]	(gateway.py:217)_send_heart	[botpy] 心跳维持启动...
-2022-12-08 21:40:52,805	[ERROR]	(http.py:73)_handle_response	[botpy] 接口请求异常，请求连接: https://api.sgroup.qq.com/channels/7150658/messages, 错误代码: 501, 返回内容: None, trace_id:None
-2022-12-08 21:41:39,703	[INFO]	(client.py:159)_bot_login	[botpy] 登录机器人账号中...
-2022-12-08 21:41:40,399	[INFO]	(client.py:178)_bot_init	[botpy] 程序启动...
-2022-12-08 21:41:40,400	[INFO]	(connection.py:59)multi_run	[botpy] 最大并发连接数: 1, 启动会话数: 1
-2022-12-08 21:41:40,401	[INFO]	(client.py:236)bot_connect	[botpy] 会话启动中...
-2022-12-08 21:41:40,401	[INFO]	(gateway.py:110)ws_connect	[botpy] 启动中...
-2022-12-08 21:41:40,644	[INFO]	(gateway.py:136)ws_identify	[botpy] 鉴权中...
-2022-12-08 21:41:40,740	[INFO]	(gateway.py:80)on_message	[botpy] 机器人「SoGPT-测试中」启动成功！
-2022-12-08 21:41:40,741	[INFO]	(gateway.py:217)_send_heart	[botpy] 心跳维持启动...
-2022-12-08 21:41:56,705	[ERROR]	(http.py:73)_handle_response	[botpy] 接口请求异常，请求连接: https://api.sgroup.qq.com/channels/7150658/messages, 错误代码: 501, 返回内容: None, trace_id:None
-2022-12-08 21:42:55,625	[INFO]	(client.py:159)_bot_login	[botpy] 登录机器人账号中...
-2022-12-08 21:42:56,278	[INFO]	(client.py:178)_bot_init	[botpy] 程序启动...
-2022-12-08 21:42:56,279	[INFO]	(connection.py:59)multi_run	[botpy] 最大并发连接数: 1, 启动会话数: 1
-2022-12-08 21:42:56,280	[INFO]	(client.py:236)bot_connect	[botpy] 会话启动中...
-2022-12-08 21:42:56,281	[INFO]	(gateway.py:110)ws_connect	[botpy] 启动中...
-2022-12-08 21:42:56,718	[INFO]	(gateway.py:136)ws_identify	[botpy] 鉴权中...
-2022-12-08 21:42:56,819	[INFO]	(gateway.py:80)on_message	[botpy] 机器人「SoGPT-测试中」启动成功！
-2022-12-08 21:42:56,820	[INFO]	(gateway.py:217)_send_heart	[botpy] 心跳维持启动...
-2022-12-08 21:43:09,794	[ERROR]	(http.py:73)_handle_response	[botpy] 接口请求异常，请求连接: https://api.sgroup.qq.com/channels/7150658/messages, 错误代码: 501, 返回内容: None, trace_id:None

configs/config.yaml

@@ -1,29 +1,137 @@
-openai:
-  # 注意：在1.7版本已支持多key自动切换，方法：
-  # key:
-  #   - xxxxx
-  #   - xxxxxx
-  # 在下方非注释的地方使用以上格式
-  key: 
-    - 
-  chatGPTConfigs:
-    engine: text-davinci-003
-    max_tokens: 800
-    temperature: 0.8
-    top_p: 1
-    frequency_penalty: 0.4
-    presence_penalty: 0.3
-  total_tokens_limit: 700
+# 如果你不知道怎么部署，请查看https://soulter.top/posts/qpdg.html
+# 不一定需要key了，如果你没有key但有openAI账号或者必应账号，可以考虑使用下面的逆向库
 
+
+###############平台设置#################
+
+# QQ频道机器人
+# QQ开放平台的appid和令牌
+# q.qq.com
+# enable为true则启用，false则不启用
 qqbot:
+  enable: true
   appid: 
   token: 
 
+# QQ机器人
+# enable为true则启用，false则不启用
+# 需要安装GO-CQHTTP配合使用。
+# 文档：https://docs.go-cqhttp.org/
+# 请将go-cqhttp的配置文件的sever部分粘贴为以下内容，否则无法使用
+# 请先启动go-cqhttp再启动本程序
+# 
+# servers:
+#   - http:
+#       host: 127.0.0.1
+#       version: 0
+#       port: 5700
+#       timeout: 5
+#   - ws:
+#       address: 127.0.0.1:6700
+#       middlewares:
+#         <<: *default
+gocqbot:
+  enable: false
+
 # 设置是否一个人一个会话
 uniqueSessionMode: false
-
-# QChannelBot 的版本
-version: 1.7 beta
-
+# QChannelBot 的版本，请勿修改此字段，否则可能产生一些bug
+version: 3.0
 # [Beta] 转储历史记录时间间隔(分钟)
-dump_history_interval: 10
+dump_history_interval: 10
+# 一个用户只能在time秒内发送count条消息
+limit:
+  time: 60
+  count: 5
+# 公告
+notice: "此机器人由Github项目QQChannelChatGPT驱动。"
+# 是否打开私信功能
+# 设置为true则频道成员可以私聊机器人。
+# 设置为false则频道成员不能私聊机器人。
+direct_message_mode: true
+
+# 系统代理
+# http_proxy: http://localhost:7890
+# https_proxy: http://localhost:7890
+
+# 自定义回复前缀，如[Rev]或其他，务必加引号以防止不必要的bug。
+reply_prefix:
+  openai_official: "[GPT]"
+  rev_chatgpt: "[Rev]"
+  rev_edgegpt: "[RevBing]"
+
+# 百度内容审核服务
+# 新用户免费5万次调用。https://cloud.baidu.com/doc/ANTIPORN/index.html
+baidu_aip:
+  enable: false
+  app_id: 
+  api_key: 
+  secret_key: 
+
+
+
+
+###############语言模型设置#################
+
+
+# OpenAI官方API
+# 注意：已支持多key自动切换，方法：
+# key:
+#   - sk-xxxxxx
+#   - sk-xxxxxx
+# 在下方非注释的地方使用以上格式
+# 关于api_base：可以使用一些云函数（如腾讯、阿里）来避免国内被墙的问题。
+# 详见：
+# https://github.com/Ice-Hazymoon/openai-scf-proxy
+# https://github.com/Soulter/QQChannelChatGPT/issues/42
+# 设置为none则表示使用官方默认api地址
+openai:
+  key: 
+    - 
+  api_base: none
+  # 这里是GPT配置，语言模型默认使用gpt-3.5-turbo
+  chatGPTConfigs:
+    model: gpt-3.5-turbo
+    max_tokens: 3000
+    temperature: 0.9
+    top_p: 1
+    frequency_penalty: 0
+    presence_penalty: 0
+    
+  total_tokens_limit: 5000
+
+# 逆向文心一言【暂时不可用，请勿使用】
+rev_ernie:
+  enable: false
+
+# 逆向New Bing
+# 需要在项目根目录下创建cookies.json并粘贴cookies进去。
+# 详见：https://soulter.top/posts/qpdg.html
+rev_edgegpt:
+  enable: false
+
+# 逆向ChatGPT库
+# https://github.com/acheong08/ChatGPT
+# 优点：免费（无免费额度限制）；
+# 缺点：速度相对慢。OpenAI 速率限制：免费帐户每小时 50 个请求。您可以通过多帐户循环来绕过它
+# enable设置为true后，将会停止使用上面正常的官方API调用而使用本逆向项目
+#
+# 多账户可以保证每个请求都能得到及时的回复。
+# 关于account的格式
+# account:
+#   - email: 第1个账户
+#     password: 第1个账户密码
+#   - email: 第2个账户
+#     password: 第2个账户密码
+#   - ....
+# 支持使用access_token登录
+# 例：
+# - session_token: xxxxx
+# - access_token: xxxx
+# 请严格按照上面这个格式填写。
+# 逆向ChatGPT库的email-password登录方式不工作，建议使用access_token登录
+# 获取access_token的方法，详见：https://soulter.top/posts/qpdg.html
+rev_ChatGPT:
+  enable: false
+  account:
+    - access_token: 

cores/astrbot/core.py

@@ -0,0 +1,485 @@
+import re
+import threading
+import asyncio
+import time
+import aiohttp
+import util.unfit_words as uw
+import os
+import sys
+import io
+import traceback
+
+import util.function_calling.gplugin as gplugin
+import util.plugin_util as putil
+
+from PIL import Image as PILImage
+from nakuru.entities.components import Plain, At, Image
+
+from addons.baidu_aip_judge import BaiduJudge
+from model.provider.provider import Provider
+from model.command.command import Command
+from util import general_utils as gu
+from util.general_utils import upload, run_monitor
+from util.cmd_config import CmdConfig as cc
+from util.cmd_config import init_astrbot_config_items
+from .types import *
+from addons.dashboard.helper import DashBoardHelper
+from addons.dashboard.server import DashBoardData
+from cores.database.conn import dbConn
+from model.platform._message_result import MessageResult
+from SparkleLogging.utils.core import LogManager
+from logging import Logger
+
+logger: Logger = LogManager.GetLogger(log_name='astrbot-core')
+
+# 用户发言频率
+user_frequency = {}
+# 时间默认值
+frequency_time = 60
+# 计数默认值
+frequency_count = 10
+
+# 版本
+version = '3.1.13'
+
+# 语言模型
+OPENAI_OFFICIAL = 'openai_official'
+NONE_LLM = 'none_llm'
+chosen_provider = None
+# 语言模型对象
+llm_instance: dict[str, Provider] = {}
+llm_command_instance: dict[str, Command] = {}
+llm_wake_prefix = ""
+
+# 百度内容审核实例
+baidu_judge = None
+
+# CLI
+PLATFORM_CLI = 'cli'
+
+init_astrbot_config_items()
+
+# 全局对象
+_global_object: GlobalObject = None
+
+# 语言模型选择
+
+
+def privider_chooser(cfg):
+    l = []
+    if 'openai' in cfg and len(cfg['openai']['key']) > 0 and cfg['openai']['key'][0] is not None:
+        l.append('openai_official')
+    return l
+
+
+'''
+初始化机器人
+'''
+
+
+def init(cfg):
+    global llm_instance, llm_command_instance
+    global baidu_judge, chosen_provider
+    global frequency_count, frequency_time
+    global _global_object
+
+    # 迁移旧配置
+    gu.try_migrate_config(cfg)
+    # 使用新配置
+    cfg = cc.get_all()
+
+    _event_loop = asyncio.new_event_loop()
+    asyncio.set_event_loop(_event_loop)
+
+    # 初始化 global_object
+    _global_object = GlobalObject()
+    _global_object.version = version
+    _global_object.base_config = cfg
+    logger.info("AstrBot v"+version)
+
+    if 'reply_prefix' in cfg:
+        # 适配旧版配置
+        if isinstance(cfg['reply_prefix'], dict):
+            _global_object.reply_prefix = ""
+            cfg['reply_prefix'] = ""
+            cc.put("reply_prefix", "")
+        else:
+            _global_object.reply_prefix = cfg['reply_prefix']
+
+    # 语言模型提供商
+    logger.info("正在载入语言模型...")
+    prov = privider_chooser(cfg)
+    if OPENAI_OFFICIAL in prov:
+        logger.info("初始化：OpenAI官方")
+        if cfg['openai']['key'] is not None and cfg['openai']['key'] != [None]:
+            from model.provider.openai_official import ProviderOpenAIOfficial
+            from model.command.openai_official import CommandOpenAIOfficial
+            llm_instance[OPENAI_OFFICIAL] = ProviderOpenAIOfficial(
+                cfg['openai'])
+            llm_command_instance[OPENAI_OFFICIAL] = CommandOpenAIOfficial(
+                llm_instance[OPENAI_OFFICIAL], _global_object)
+            _global_object.llms.append(RegisteredLLM(
+                llm_name=OPENAI_OFFICIAL, llm_instance=llm_instance[OPENAI_OFFICIAL], origin="internal"))
+            chosen_provider = OPENAI_OFFICIAL
+
+    # 检查provider设置偏好
+    p = cc.get("chosen_provider", None)
+    if p is not None and p in llm_instance:
+        chosen_provider = p
+
+    # 百度内容审核
+    if 'baidu_aip' in cfg and 'enable' in cfg['baidu_aip'] and cfg['baidu_aip']['enable']:
+        try:
+            baidu_judge = BaiduJudge(cfg['baidu_aip'])
+            logger.info("百度内容审核初始化成功")
+        except BaseException as e:
+            logger.info("百度内容审核初始化失败")
+
+    threading.Thread(target=upload, args=(
+        _global_object, ), daemon=True).start()
+
+    # 得到发言频率配置
+    if 'limit' in cfg:
+        if 'count' in cfg['limit']:
+            frequency_count = cfg['limit']['count']
+        if 'time' in cfg['limit']:
+            frequency_time = cfg['limit']['time']
+
+    try:
+        if 'uniqueSessionMode' in cfg and cfg['uniqueSessionMode']:
+            _global_object.unique_session = True
+        else:
+            _global_object.unique_session = False
+    except BaseException as e:
+        logger.info("独立会话配置错误: "+str(e))
+
+    nick_qq = cc.get("nick_qq", None)
+    if nick_qq == None:
+        nick_qq = ("ai", "!", "！")
+    if isinstance(nick_qq, str):
+        nick_qq = (nick_qq,)
+    if isinstance(nick_qq, list):
+        nick_qq = tuple(nick_qq)
+    _global_object.nick = nick_qq
+
+    # 语言模型唤醒词
+    global llm_wake_prefix
+    llm_wake_prefix = cc.get("llm_wake_prefix", "")
+
+    logger.info("正在载入插件...")
+    # 加载插件
+    _command = Command(None, _global_object)
+    ok, err = putil.plugin_reload(_global_object.cached_plugins)
+    if ok:
+        logger.info(
+            f"成功载入 {len(_global_object.cached_plugins)} 个插件")
+    else:
+        logger.info(err)
+
+    if chosen_provider is None:
+        llm_command_instance[NONE_LLM] = _command
+        chosen_provider = NONE_LLM
+
+    logger.info("正在载入机器人消息平台")
+    # logger.info("提示：需要添加管理员 ID 才能使用 update/plugin 等指令)，可在可视化面板添加。（如已添加可忽略）")
+    platform_str = ""
+    # GOCQ
+    if 'gocqbot' in cfg and cfg['gocqbot']['enable']:
+        logger.info("启用 QQ_GOCQ 机器人消息平台")
+        threading.Thread(target=run_gocq_bot, args=(
+            cfg, _global_object), daemon=True).start()
+        platform_str += "QQ_GOCQ,"
+
+    # QQ频道
+    if 'qqbot' in cfg and cfg['qqbot']['enable'] and cfg['qqbot']['appid'] != None:
+        logger.info("启用 QQ_OFFICIAL 机器人消息平台")
+        threading.Thread(target=run_qqchan_bot, args=(
+            cfg, _global_object), daemon=True).start()
+        platform_str += "QQ_OFFICIAL,"
+
+    default_personality_str = cc.get("default_personality_str", "")
+    if default_personality_str == "":
+        _global_object.default_personality = None
+    else:
+        _global_object.default_personality = {
+            "name": "default",
+            "prompt": default_personality_str,
+        }
+    # 初始化dashboard
+    _global_object.dashboard_data = DashBoardData(
+        stats={},
+        configs={},
+        logs={},
+        plugins=_global_object.cached_plugins,
+    )
+    dashboard_helper = DashBoardHelper(_global_object, config=cc.get_all())
+    dashboard_thread = threading.Thread(
+        target=dashboard_helper.run, daemon=True)
+    dashboard_thread.start()
+
+    # 运行 monitor
+    threading.Thread(target=run_monitor, args=(
+        _global_object,), daemon=True).start()
+
+    logger.info(
+        "如果有任何问题, 请在 https://github.com/Soulter/AstrBot 上提交 issue 或加群 322154837。")
+    logger.info("请给 https://github.com/Soulter/AstrBot 点个 star。")
+    if platform_str == '':
+        platform_str = "(未启动任何平台，请前往面板添加)"
+    logger.info(f"🎉 项目启动完成")
+
+    dashboard_thread.join()
+
+
+'''
+运行 QQ_OFFICIAL 机器人
+'''
+
+
+def run_qqchan_bot(cfg: dict, global_object: GlobalObject):
+    try:
+        from model.platform.qq_official import QQOfficial
+        qqchannel_bot = QQOfficial(
+            cfg=cfg, message_handler=oper_msg, global_object=global_object)
+        global_object.platforms.append(RegisteredPlatform(
+            platform_name="qqchan", platform_instance=qqchannel_bot, origin="internal"))
+        qqchannel_bot.run()
+    except BaseException as e:
+        logger.error("启动 QQ 频道机器人时出现错误, 原因如下: " + str(e))
+        logger.error(r"如果您是初次启动，请前往可视化面板填写配置。详情请看：https://astrbot.soulter.top/center/。")
+
+
+'''
+运行 QQ_GOCQ 机器人
+'''
+
+
+def run_gocq_bot(cfg: dict, _global_object: GlobalObject):
+    from model.platform.qq_gocq import QQGOCQ
+
+    noticed = False
+    host = cc.get("gocq_host", "127.0.0.1")
+    port = cc.get("gocq_websocket_port", 6700)
+    http_port = cc.get("gocq_http_port", 5700)
+    logger.info(
+        f"正在检查连接...host: {host}, ws port: {port}, http port: {http_port}")
+    while True:
+        if not gu.port_checker(port=port, host=host) or not gu.port_checker(port=http_port, host=host):
+            if not noticed:
+                noticed = True
+                logger.warning(
+                    f"连接到{host}:{port}（或{http_port}）失败。程序会每隔 5s 自动重试。")
+            time.sleep(5)
+        else:
+            logger.info("已连接到 gocq。")
+            break
+    try:
+        qq_gocq = QQGOCQ(cfg=cfg, message_handler=oper_msg,
+                         global_object=_global_object)
+        _global_object.platforms.append(RegisteredPlatform(
+            platform_name="gocq", platform_instance=qq_gocq, origin="internal"))
+        qq_gocq.run()
+    except BaseException as e:
+        input("启动QQ机器人出现错误"+str(e))
+
+
+'''
+检查发言频率
+'''
+
+
+def check_frequency(id) -> bool:
+    ts = int(time.time())
+    if id in user_frequency:
+        if ts-user_frequency[id]['time'] > frequency_time:
+            user_frequency[id]['time'] = ts
+            user_frequency[id]['count'] = 1
+            return True
+        else:
+            if user_frequency[id]['count'] >= frequency_count:
+                return False
+            else:
+                user_frequency[id]['count'] += 1
+                return True
+    else:
+        t = {'time': ts, 'count': 1}
+        user_frequency[id] = t
+        return True
+
+
+async def record_message(platform: str, session_id: str):
+    # TODO: 这里会非常吃资源。然而 sqlite3 不支持多线程，所以暂时这样写。
+    curr_ts = int(time.time())
+    db_inst = dbConn()
+    db_inst.increment_stat_session(platform, session_id, 1)
+    db_inst.increment_stat_message(curr_ts, 1)
+    db_inst.increment_stat_platform(curr_ts, platform, 1)
+    _global_object.cnt_total += 1
+
+
+async def oper_msg(message: AstrBotMessage,
+                   session_id: str,
+                   role: str = 'member',
+                   platform: str = None,
+                   ) -> MessageResult:
+    """
+    处理消息。
+    message: 消息对象
+    session_id: 该消息源的唯一识别号
+    role: member | admin
+    platform: str 所注册的平台的名称。如果没有注册，将抛出一个异常。
+    """
+    global chosen_provider, _global_object
+    message_str = ''
+    session_id = session_id
+    role = role
+    hit = False  # 是否命中指令
+    command_result = ()  # 调用指令返回的结果
+
+    # 获取平台实例
+    reg_platform: RegisteredPlatform = None
+    for p in _global_object.platforms:
+        if p.platform_name == platform:
+            reg_platform = p
+            break
+    if not reg_platform:
+        raise Exception(f"未找到平台 {platform} 的实例。")
+
+    # 统计数据，如频道消息量
+    await record_message(platform, session_id)
+
+    for i in message.message:
+        if isinstance(i, Plain):
+            message_str += i.text.strip()
+    if message_str == "":
+        return MessageResult("Hi~")
+
+    # 检查发言频率
+    if not check_frequency(message.sender.user_id):
+        return MessageResult(f'你的发言超过频率限制(╯▔皿▔)╯。\n管理员设置{frequency_time}秒内只能提问{frequency_count}次。')
+
+    # 检查是否是更换语言模型的请求
+    temp_switch = ""
+    if message_str.startswith('/gpt'):
+        target = chosen_provider
+        if message_str.startswith('/gpt'):
+            target = OPENAI_OFFICIAL
+        l = message_str.split(' ')
+        if len(l) > 1 and l[1] != "":
+            # 临时对话模式，先记录下之前的语言模型，回答完毕后再切回
+            temp_switch = chosen_provider
+            chosen_provider = target
+            message_str = l[1]
+        else:
+            chosen_provider = target
+            cc.put("chosen_provider", chosen_provider)
+            return MessageResult(f"已切换至【{chosen_provider}】")
+
+    llm_result_str = ""
+
+    # check commands and plugins
+    hit, command_result = await llm_command_instance[chosen_provider].check_command(
+        message_str,
+        session_id,
+        role,
+        reg_platform,
+        message,
+    )
+
+    # 没触发指令
+    if not hit:
+        # 关键词拦截
+        for i in uw.unfit_words_q:
+            matches = re.match(i, message_str.strip(), re.I | re.M)
+            if matches:
+                return MessageResult(f"你的提问得到的回复未通过【默认关键词拦截】服务, 不予回复。")
+        if baidu_judge != None:
+            check, msg = await asyncio.to_thread(baidu_judge.judge, message_str)
+            if not check:
+                return MessageResult(f"你的提问得到的回复未通过【百度AI内容审核】服务, 不予回复。\n\n{msg}")
+        if chosen_provider == NONE_LLM:
+            logger.info("一条消息由于 Bot 未启动任何语言模型并且未触发指令而将被忽略。")
+            return
+        try:
+            if llm_wake_prefix != "" and not message_str.startswith(llm_wake_prefix):
+                return
+            # check image url
+            image_url = None
+            for comp in message.message:
+                if isinstance(comp, Image):
+                    if comp.url is None:
+                        image_url = comp.file
+                        break
+                    else:
+                        image_url = comp.url
+                        break
+            # web search keyword
+            web_sch_flag = False
+            if message_str.startswith("ws ") and message_str != "ws ":
+                message_str = message_str[3:]
+                web_sch_flag = True
+            else:
+                message_str += " " + cc.get("llm_env_prompt", "")
+            if chosen_provider == OPENAI_OFFICIAL:
+                if _global_object.web_search or web_sch_flag:
+                    official_fc = chosen_provider == OPENAI_OFFICIAL
+                    llm_result_str = await gplugin.web_search(message_str, llm_instance[chosen_provider], session_id, official_fc)
+                else:
+                    llm_result_str = await llm_instance[chosen_provider].text_chat(message_str, session_id, image_url, default_personality=_global_object.default_personality)
+
+            llm_result_str = _global_object.reply_prefix + llm_result_str
+        except BaseException as e:
+            logger.info(f"调用异常：{traceback.format_exc()}")
+            return MessageResult(f"调用语言模型例程时出现异常。原因: {str(e)}")
+
+    # 切换回原来的语言模型
+    if temp_switch != "":
+        chosen_provider = temp_switch
+
+    if hit:
+        # 有指令或者插件触发
+        # command_result 是一个元组：(指令调用是否成功, 指令返回的文本结果, 指令类型)
+        if command_result == None:
+            return
+        command = command_result[2]
+
+        if command == "update latest r":
+            def update_restart():
+                py = sys.executable
+                os.execl(py, py, *sys.argv)
+            return MessageResult(command_result[1] + "\n\n即将自动重启。", callback=update_restart)
+
+        if not command_result[0]:
+            return MessageResult(f"指令调用错误: \n{str(command_result[1])}")
+
+        # 画图指令
+        if isinstance(command_result[1], list) and len(command_result) == 3 and command == 'draw':
+            for i in command_result[1]:
+                # 保存到本地
+                async with aiohttp.ClientSession() as session:
+                    async with session.get(i) as resp:
+                        if resp.status == 200:
+                            image = PILImage.open(io.BytesIO(await resp.read()))
+                            return MessageResult([Image.fromFileSystem(gu.save_temp_img(image))])
+        # 其他指令
+        else:
+            try:
+                return MessageResult(command_result[1])
+            except BaseException as e:
+                return MessageResult(f"回复消息出错: {str(e)}")
+        return
+
+    # 敏感过滤
+    # 过滤不合适的词
+    for i in uw.unfit_words:
+        llm_result_str = re.sub(i, "***", llm_result_str)
+    # 百度内容审核服务二次审核
+    if baidu_judge != None:
+        check, msg = await asyncio.to_thread(baidu_judge.judge, llm_result_str)
+        if not check:
+            return MessageResult(f"你的提问得到的回复【百度内容审核】未通过，不予回复。\n\n{msg}")
+    # 发送信息
+    try:
+        return MessageResult(llm_result_str)
+    except BaseException as e:
+        logger.info("回复消息错误: \n"+str(e))

cores/astrbot/types.py

@@ -0,0 +1,180 @@
+from model.provider.provider import Provider as LLMProvider
+from model.platform._platfrom import Platform
+from nakuru import (
+    GroupMessage,
+    FriendMessage,
+    GuildMessage,
+)
+from nakuru.entities.components import BaseMessageComponent
+from typing import Union, List, ClassVar
+from types import ModuleType
+from enum import Enum
+from dataclasses import dataclass
+
+
+class MessageType(Enum):
+    GROUP_MESSAGE = 'GroupMessage'  # 群组形式的消息
+    FRIEND_MESSAGE = 'FriendMessage'  # 私聊、好友等单聊消息
+    GUILD_MESSAGE = 'GuildMessage'  # 频道消息
+
+
+@dataclass
+class MessageMember():
+    user_id: str  # 发送者id
+    nickname: str = None
+
+
+class AstrBotMessage():
+    '''
+    AstrBot 的消息对象
+    '''
+    tag: str  # 消息来源标签
+    type: MessageType  # 消息类型
+    self_id: str  # 机器人的识别id
+    session_id: str  # 会话id
+    message_id: str  # 消息id
+    sender: MessageMember  # 发送者
+    message: List[BaseMessageComponent]  # 消息链使用 Nakuru 的消息链格式
+    message_str: str  # 最直观的纯文本消息字符串
+    raw_message: object
+    timestamp: int  # 消息时间戳
+
+    def __str__(self) -> str:
+        return str(self.__dict__)
+
+
+class PluginType(Enum):
+    PLATFORM = 'platfrom'  # 平台类插件。
+    LLM = 'llm'  # 大语言模型类插件
+    COMMON = 'common'  # 其他插件
+
+
+@dataclass
+class PluginMetadata:
+    '''
+    插件的元数据。
+    '''
+    # required
+    plugin_name: str
+    plugin_type: PluginType
+    author: str  # 插件作者
+    desc: str  # 插件简介
+    version: str  # 插件版本
+
+    # optional
+    repo: str = None  # 插件仓库地址
+
+    def __str__(self) -> str:
+        return f"PluginMetadata({self.plugin_name}, {self.plugin_type}, {self.desc}, {self.version}, {self.repo})"
+
+
+@dataclass
+class RegisteredPlugin:
+    '''
+    注册在 AstrBot 中的插件。
+    '''
+    metadata: PluginMetadata
+    plugin_instance: object
+    module_path: str
+    module: ModuleType
+    root_dir_name: str
+
+    def __str__(self) -> str:
+        return f"RegisteredPlugin({self.metadata}, {self.module_path}, {self.root_dir_name})"
+
+
+RegisteredPlugins = List[RegisteredPlugin]
+
+
+@dataclass
+class RegisteredPlatform:
+    '''
+    注册在 AstrBot 中的平台。平台应当实现 Platform 接口。
+    '''
+    platform_name: str
+    platform_instance: Platform
+    origin: str = None  # 注册来源
+
+
+@dataclass
+class RegisteredLLM:
+    '''
+    注册在 AstrBot 中的大语言模型调用。大语言模型应当实现 LLMProvider 接口。
+    '''
+    llm_name: str
+    llm_instance: LLMProvider
+    origin: str = None  # 注册来源
+
+
+class GlobalObject:
+    '''
+    存放一些公用的数据，用于在不同模块(如core与command)之间传递
+    '''
+    version: str  # 机器人版本
+    nick: str  # 用户定义的机器人的别名
+    base_config: dict  # config.json 中导出的配置
+    cached_plugins: List[RegisteredPlugin]  # 加载的插件
+    platforms: List[RegisteredPlatform]
+    llms: List[RegisteredLLM]
+
+    web_search: bool  # 是否开启了网页搜索
+    reply_prefix: str  # 回复前缀
+    unique_session: bool  # 是否开启了独立会话
+    cnt_total: int  # 总消息数
+    default_personality: dict
+    dashboard_data = None
+
+    def __init__(self):
+        self.nick = None  # gocq 的昵称
+        self.base_config = None  # config.yaml
+        self.cached_plugins = []  # 缓存的插件
+        self.web_search = False  # 是否开启了网页搜索
+        self.reply_prefix = None
+        self.unique_session = False
+        self.cnt_total = 0
+        self.platforms = []
+        self.llms = []
+        self.default_personality = None
+        self.dashboard_data = None
+        self.stat = {}
+
+
+class AstrMessageEvent():
+    '''
+    消息事件。
+    '''
+    context: GlobalObject  # 一些公用数据
+    message_str: str  # 纯消息字符串
+    message_obj: AstrBotMessage  # 消息对象
+    platform: RegisteredPlatform  # 来源平台
+    role: str  # 基本身份。`admin` 或 `member`
+    session_id: int  # 会话 id
+
+    def __init__(self,
+                 message_str: str,
+                 message_obj: AstrBotMessage,
+                 platform: RegisteredPlatform,
+                 role: str,
+                 context: GlobalObject,
+                 session_id: str = None):
+        self.context = context
+        self.message_str = message_str
+        self.message_obj = message_obj
+        self.platform = platform
+        self.role = role
+        self.session_id = session_id
+
+
+class CommandResult():
+    '''
+    用于在Command中返回多个值
+    '''
+
+    def __init__(self, hit: bool, success: bool, message_chain: list, command_name: str = "unknown_command") -> None:
+        self.hit = hit
+        self.success = success
+        self.message_chain = message_chain
+        self.command_name = command_name
+
+    def _result_tuple(self):
+        return (self.success, self.message_chain, self.command_name)

cores/database/conn.py

@@ -1,13 +1,14 @@
 import sqlite3
 import yaml
+import time
+from typing import Tuple
 
-# TODO: 数据库缓存prompt
 
 class dbConn():
     def __init__(self):
         # 读取参数,并支持中文
         conn = sqlite3.connect("data.db")
-        conn.text_factory=str
+        conn.text_factory = str
         self.conn = conn
         c = conn.cursor()
         c.execute(
@@ -15,10 +16,36 @@ class dbConn():
             CREATE TABLE IF NOT EXISTS tb_session(
                 qq_id   VARCHAR(32) PRIMARY KEY,
                 history TEXT
-            )
+            );
             '''
         )
-        
+        c.execute(
+            '''
+            CREATE TABLE IF NOT EXISTS tb_stat_session(
+                platform VARCHAR(32),
+                session_id VARCHAR(32),
+                cnt INTEGER
+            );
+            '''
+        )
+        c.execute(
+            '''
+            CREATE TABLE IF NOT EXISTS tb_stat_message(
+                ts INTEGER,
+                cnt INTEGER
+            );
+            '''
+        )
+        c.execute(
+            '''
+            CREATE TABLE IF NOT EXISTS tb_stat_platform(
+                ts INTEGER,
+                platform VARCHAR(32),
+                cnt INTEGER
+            );
+            '''
+        )
+
         conn.commit()
 
     def insert_session(self, qq_id, history):
@@ -50,7 +77,7 @@ class dbConn():
             ''', (qq_id, )
         )
         return c.fetchone()
-    
+
     def get_all_session(self):
         conn = self.conn
         c = conn.cursor()
@@ -60,7 +87,7 @@ class dbConn():
             '''
         )
         return c.fetchall()
-    
+
     def check_session(self, qq_id):
         conn = self.conn
         c = conn.cursor()
@@ -81,6 +108,186 @@ class dbConn():
         )
         conn.commit()
 
+    def increment_stat_session(self, platform, session_id, cnt):
+        # if not exist, insert
+        conn = self.conn
+        c = conn.cursor()
+
+        if self.check_stat_session(platform, session_id):
+            c.execute(
+                '''
+                UPDATE tb_stat_session SET cnt = cnt + ? WHERE platform = ? AND session_id = ?
+                ''', (cnt, platform, session_id)
+            )
+            conn.commit()
+        else:
+            c.execute(
+                '''
+                INSERT INTO tb_stat_session(platform, session_id, cnt) VALUES (?, ?, ?)
+                ''', (platform, session_id, cnt)
+            )
+            conn.commit()
+
+    def check_stat_session(self, platform, session_id):
+        conn = self.conn
+        c = conn.cursor()
+        c.execute(
+            '''
+            SELECT * FROM tb_stat_session WHERE platform = ? AND session_id = ?
+            ''', (platform, session_id)
+        )
+        return c.fetchone() is not None
+
+    def get_all_stat_session(self):
+        conn = self.conn
+        c = conn.cursor()
+        c.execute(
+            '''
+            SELECT * FROM tb_stat_session
+            '''
+        )
+        return c.fetchall()
+
+    def get_session_cnt_total(self):
+        conn = self.conn
+        c = conn.cursor()
+        c.execute(
+            '''
+            SELECT COUNT(*) FROM tb_stat_session
+            '''
+        )
+        return c.fetchone()[0]
+
+    def increment_stat_message(self, ts, cnt):
+        # 以一个小时为单位。ts的单位是秒。
+        # 找到最近的一个小时，如果没有，就插入
+
+        conn = self.conn
+        c = conn.cursor()
+
+        ok, new_ts = self.check_stat_message(ts)
+
+        if ok:
+            c.execute(
+                '''
+                UPDATE tb_stat_message SET cnt = cnt + ? WHERE ts = ?
+                ''', (cnt, new_ts)
+            )
+            conn.commit()
+        else:
+            c.execute(
+                '''
+                INSERT INTO tb_stat_message(ts, cnt) VALUES (?, ?)
+                ''', (new_ts, cnt)
+            )
+            conn.commit()
+
+    def check_stat_message(self, ts) -> Tuple[bool, int]:
+        # 换算成当地整点的时间戳
+
+        ts = ts - ts % 3600
+        conn = self.conn
+        c = conn.cursor()
+        c.execute(
+            '''
+            SELECT * FROM tb_stat_message WHERE ts = ?
+            ''', (ts, )
+        )
+        if c.fetchone() is not None:
+            return True, ts
+        else:
+            return False, ts
+
+    def get_last_24h_stat_message(self):
+        # 获取最近24小时的消息统计
+        conn = self.conn
+        c = conn.cursor()
+        c.execute(
+            '''
+            SELECT * FROM tb_stat_message WHERE ts > ?
+            ''', (time.time() - 86400, )
+        )
+        return c.fetchall()
+
+    def get_message_cnt_total(self) -> int:
+        conn = self.conn
+        c = conn.cursor()
+        c.execute(
+            '''
+            SELECT SUM(cnt) FROM tb_stat_message
+            '''
+        )
+        return c.fetchone()[0]
+
+    def increment_stat_platform(self, ts, platform, cnt):
+        # 以一个小时为单位。ts的单位是秒。
+        # 找到最近的一个小时，如果没有，就插入
+
+        conn = self.conn
+        c = conn.cursor()
+
+        ok, new_ts = self.check_stat_platform(ts, platform)
+
+        if ok:
+            c.execute(
+                '''
+                UPDATE tb_stat_platform SET cnt = cnt + ? WHERE ts = ? AND platform = ?
+                ''', (cnt, new_ts, platform)
+            )
+            conn.commit()
+        else:
+            c.execute(
+                '''
+                INSERT INTO tb_stat_platform(ts, platform, cnt) VALUES (?, ?, ?)
+                ''', (new_ts, platform, cnt)
+            )
+            conn.commit()
+
+    def check_stat_platform(self, ts, platform):
+        # 换算成当地整点的时间戳
+
+        ts = ts - ts % 3600
+        conn = self.conn
+        c = conn.cursor()
+        c.execute(
+            '''
+            SELECT * FROM tb_stat_platform WHERE ts = ? AND platform = ?
+            ''', (ts, platform)
+        )
+        if c.fetchone() is not None:
+            return True, ts
+        else:
+            return False, ts
+
+    def get_last_24h_stat_platform(self):
+        # 获取最近24小时的消息统计
+        conn = self.conn
+        c = conn.cursor()
+        c.execute(
+            '''
+            SELECT * FROM tb_stat_platform WHERE ts > ?
+            ''', (time.time() - 86400, )
+        )
+        return c.fetchall()
+
+    def get_platform_cnt_total(self) -> int:
+        conn = self.conn
+        c = conn.cursor()
+        c.execute(
+            '''
+            SELECT platform, SUM(cnt) FROM tb_stat_platform GROUP BY platform
+            '''
+        )
+        # return c.fetchall()
+        platforms = []
+        ret = c.fetchall()
+        for i in ret:
+            # platforms[i[0]] = i[1]
+            platforms.append({
+                "name": i[0],
+                "count": i[1]
+            })
+        return platforms
+
     def close(self):
         self.conn.close()
-    

cores/openai/core.py

@@ -1,175 +0,0 @@
-import openai
-import yaml
-from util.errors.errors import PromptExceededError
-import json
-import time
-import os
-import sys
-
-inst = None
-# 适配pyinstaller
-abs_path = os.path.dirname(os.path.realpath(sys.argv[0])) + '/'
-key_record_path = abs_path+'chatgpt_key_record'
-
-class ChatGPT:
-    def __init__(self):
-        self.key_list = []
-        with open(abs_path+"configs/config.yaml", 'r', encoding='utf-8') as ymlfile:
-            cfg = yaml.safe_load(ymlfile)
-            if cfg['openai']['key'] != '':
-                print("读取ChatGPT Key成功")
-                self.key_list = cfg['openai']['key']
-                print(f"Key列表: {self.key_list}")
-                # openai.api_key = cfg['openai']['key']
-            else:
-                print("请先去完善ChatGPT的Key。详情请前往https://beta.openai.com/account/api-keys")
-        
-        # init key record
-        self.init_key_record()
-
-        chatGPT_configs = cfg['openai']['chatGPTConfigs']
-        print(f'加载ChatGPTConfigs: {chatGPT_configs}')
-        self.chatGPT_configs = chatGPT_configs
-        self.openai_configs = cfg['openai']
-        global inst
-        inst = self
-    
-    def chat(self, prompt, image_mode = False):
-        try:
-            if not image_mode:
-                response = openai.Completion.create(
-                    prompt=prompt,
-                    **self.chatGPT_configs
-                )
-            else:
-                response = openai.Image.create(
-                    prompt=prompt,
-                    n=1,
-                    size="512x512",
-                )
-        except Exception as e:
-            print(e)
-            if 'You exceeded' in str(e) or 'Billing hard limit has been reached' in str(e) or 'No API key provided.' in str(e):
-                print("当前Key已超额，正在切换")
-                self.key_stat[openai.api_key]['exceed'] = True
-                self.save_key_record()
-
-                response, is_switched = self.handle_switch_key(prompt)
-                if not is_switched:
-                    # 所有Key都超额
-                    raise e
-            else:
-                if not image_mode:
-                    response = openai.Completion.create(
-                        prompt=prompt,
-                        **self.chatGPT_configs
-                    )
-                else:
-                    response = openai.Image.create(
-                        prompt=prompt,
-                        n=1,
-                        size="512x512",
-                    )
-        if not image_mode:
-            self.key_stat[openai.api_key]['used'] += response['usage']['total_tokens']
-            self.save_key_record()
-            print("[ChatGPT] "+response["choices"][0]["text"])
-            return response["choices"][0]["text"].strip(), response['usage']['total_tokens']
-        else:
-            return response['data'][0]['url']
-            
-    def handle_switch_key(self, prompt):
-        while True:
-            is_all_exceed = True
-            for key in self.key_stat:
-                if not self.key_stat[key]['exceed']:
-                    is_all_exceed = False
-                    openai.api_key = key
-                    print(f"切换到Key: {key}, 已使用token: {self.key_stat[key]['used']}")
-                    if prompt != '':
-                        try:
-                            response = openai.Completion.create(
-                                prompt=prompt,
-                                **self.chatGPT_configs
-                            )
-                            return response, True
-                        except Exception as e:
-                            print(e)
-                            if 'You exceeded' in str(e):
-                                print("当前Key已超额，正在切换")
-                                self.key_stat[openai.api_key]['exceed'] = True
-                                self.save_key_record()
-                                time.sleep(1)
-                                continue
-                    else:
-                        return True
-            if is_all_exceed:
-                print("所有Key已超额")
-                return None, False
-                
-    def getConfigs(self):
-        return self.openai_configs
-    
-    def save_key_record(self):
-        with open(key_record_path, 'w', encoding='utf-8') as f:
-            json.dump(self.key_stat, f)
-
-    def get_key_stat(self):
-        return self.key_stat
-    def get_key_list(self):
-        return self.key_list
-    
-    # 添加key
-    def append_key(self, key, sponsor):
-        self.key_list.append(key)
-        self.key_stat[key] = {'exceed': False, 'used': 0, 'sponsor': sponsor}
-        self.save_key_record()
-        self.init_key_record()
-    # 检查key是否可用
-    def check_key(self, key):
-        pre_key = openai.api_key
-        openai.api_key = key
-        try:
-            openai.Completion.create(
-                prompt="test",
-                **self.chatGPT_configs
-            )
-            openai.api_key = pre_key
-            return True
-        except Exception as e:
-            pass
-        openai.api_key = pre_key
-        return False
-
-    # 将key_list的key转储到key_record中，并记录相关数据
-    def init_key_record(self):
-        if not os.path.exists(key_record_path):
-            with open(key_record_path, 'w', encoding='utf-8') as f:
-                json.dump({}, f)
-        with open(key_record_path, 'r', encoding='utf-8') as keyfile:
-            try:
-                self.key_stat = json.load(keyfile)
-            except Exception as e:
-                print(e)
-                self.key_stat = {}
-            finally:
-                for key in self.key_list:
-                    if key not in self.key_stat:
-                        self.key_stat[key] = {'exceed': False, 'used': 0}
-                        if openai.api_key is None:
-                            openai.api_key = key
-                    else:
-                        if self.key_stat[key]['exceed']:
-                            print(f"Key: {key} 已超额")
-                            continue
-                        else:
-                            if openai.api_key is None:
-                                openai.api_key = key
-                                print(f"使用Key: {key}, 已使用token: {self.key_stat[key]['used']}")
-                if openai.api_key == None:
-                    self.handle_switch_key("")
-            self.save_key_record()
-
-def getInst() -> ChatGPT:
-    global inst
-    return inst

cores/qqbot/core.py

@@ -1,578 +0,0 @@
-import botpy
-from botpy.message import Message
-import yaml
-import re
-from util.errors.errors import PromptExceededError
-from botpy.message import DirectMessage
-import json
-import threading
-import asyncio
-import time
-from cores.database.conn import dbConn
-import requests
-import util.unfit_words as uw
-import os
-import sys
-history_dump_interval = 10
-client = ''
-# ChatGPT的实例
-global chatgpt
-# 缓存的会话
-session_dict = {}
-# 最大缓存token（在配置里改 configs/config.yaml）
-max_tokens = 2000
-# 版本
-version = ""
-# gpt配置（在配置改）
-gpt_config = {
-    'engine': '',
-    'temperature': '',
-    'top_p': '',
-    'frequency_penalty': '',
-    'presence_penalty': '',
-    'max_tokens': '',
-}
-# 统计信息
-count = {}
-# 统计信息
-stat_file = ''
-# 是否是独立会话（在配置改）
-uniqueSession = False
-# 日志记录
-logf = open('log.log', 'a+', encoding='utf-8')
-# 是否上传日志,仅上传频道数量等数量的统计信息
-is_upload_log = True
-
-#######################
-# 公告（可自定义）：
-announcement = "⚠公约：禁止涉政、暴力等敏感话题，关于此话题得到的回复不受控。\n目前已知的问题：部分代码（例如Java、SQL，Python代码不会）会被频道拦截。\n🤖可自己搭建一个机器人~详见QQChannelChatGPT项目。"
-
-#######################
-
-# 适配pyinstaller
-abs_path = os.path.dirname(os.path.realpath(sys.argv[0])) + '/'
-print(abs_path)
-
-
-def new_sub_thread(func, args=()):
-    thread = threading.Thread(target=func, args=args, daemon=True)
-    thread.start() 
-
-class botClient(botpy.Client):
-    # 收到At消息
-    async def on_at_message_create(self, message: Message):
-        toggle_count(at=True, message=message)
-        # executor.submit(oper_msg, message, True)
-        print(message)
-        new_sub_thread(oper_msg, (message, True))
-        # await oper_msg(message=message, at=True)
-
-    # 收到私聊消息
-    async def on_direct_message_create(self, message: DirectMessage):
-        toggle_count(at=False, message=message)
-        # executor.submit(oper_msg, message, True)
-        # await oper_msg(message=message, at=False)
-        print(message)
-        new_sub_thread(oper_msg, (message, False))
-
-# 写入统计信息
-def toggle_count(at: bool, message):
-    global stat_file
-    try: 
-        if str(message.guild_id) not in count:
-            count[str(message.guild_id)] = {
-                'count': 1,
-                'direct_count': 1,
-            }
-        else:
-            count[str(message.guild_id)]['count'] += 1
-            if not at:
-                count[str(message.guild_id)]['direct_count'] += 1
-        stat_file = open(abs_path+"configs/stat", 'w', encoding='utf-8')
-        stat_file.write(json.dumps(count))
-        stat_file.flush()
-        stat_file.close()
-    except BaseException:
-        pass
-
-# 转储历史记录的定时器~ Soulter
-def dump_history():
-    time.sleep(10)
-    global session_dict, history_dump_interval
-    db = dbConn()
-    while True:
-        try:
-            # print("转储历史记录...")
-            for key in session_dict:
-                # print("TEST: "+str(db.get_session(key)))
-                data = session_dict[key]
-                data_json = {
-                    'data': data
-                }
-                if db.check_session(key):
-                    db.update_session(key, json.dumps(data_json))
-                else:
-                    db.insert_session(key, json.dumps(data_json))
-            # print("转储历史记录完毕")
-        except BaseException as e:
-            print(e)
-        # 每隔10分钟转储一次
-        time.sleep(10*history_dump_interval)
-
-def upload():
-    global object_id
-    while True:
-        addr = ''
-        try:
-            addr = requests.get('http://myip.ipip.net', timeout=5).text
-        except BaseException:
-            pass
-        try:
-            ts = str(time.time())
-            # md = hashlib.md5((ts+'QAZ1rQLY1ZufHrZlpuUiNff7').encode())
-            guild_count, guild_msg_count, guild_direct_msg_count, session_count = get_stat()
-            headers = {
-                'X-LC-Id': 'UqfXTWW15nB7iMT0OHvYrDFb-gzGzoHsz',
-                'X-LC-Key': 'QAZ1rQLY1ZufHrZlpuUiNff7',
-                'Content-Type': 'application/json'
-            }
-            d = {"data": {"guild_count": guild_count, "guild_msg_count": guild_msg_count, "guild_direct_msg_count": guild_direct_msg_count, "session_count": session_count, 'addr': addr}}
-            d = json.dumps(d).encode("utf-8")
-            res = requests.put(f'https://uqfxtww1.lc-cn-n1-shared.com/1.1/classes/bot_record/{object_id}', headers = headers, data = d)
-            if json.loads(res.text)['code'] == 1:
-                print("new user")
-                res = requests.post(f'https://uqfxtww1.lc-cn-n1-shared.com/1.1/classes/bot_record', headers = headers, data = d)
-                object_id = json.loads(res.text)['objectId']
-                object_id_file = open(abs_path+"configs/object_id", 'w+', encoding='utf-8')
-                object_id_file.write(str(object_id))
-                object_id_file.flush()
-                object_id_file.close()
-        except BaseException as e:
-            print(e)
-        # 每隔2小时上传一次
-        time.sleep(60*60*2)
-
-
-def initBot(chatgpt_inst):
-    global chatgpt
-    chatgpt = chatgpt_inst
-
-    global max_tokens
-    max_tokens = int(chatgpt_inst.getConfigs()['total_tokens_limit'])
-    global gpt_config
-    gpt_config = chatgpt_inst.getConfigs()
-    gpt_config['key'] = "***"
-    global version
-
-    # 读取历史记录 Soulter
-    try:
-        db1 = dbConn()
-        for session in db1.get_all_session():
-            session_dict[session[0]] = json.loads(session[1])['data']
-        print("历史记录读取成功了喵")
-    except BaseException as e:
-        print("历史记录读取失败: " + str(e))
-
-    # 读统计信息
-    global stat_file
-    if not os.path.exists(abs_path+"configs/stat"):
-        with open(abs_path+"configs/stat", 'w', encoding='utf-8') as f:
-                json.dump({}, f)
-    stat_file = open(abs_path+"configs/stat", 'r', encoding='utf-8')
-    global count
-    res = stat_file.read()
-    if res == '':
-        count = {}
-    else:
-        try: 
-            count = json.loads(res)
-        except BaseException:
-            pass
-    # 创建转储定时器线程
-    threading.Thread(target=dump_history, daemon=True).start()
-
-    if is_upload_log:
-        # 读取object_id
-        global object_id
-        if not os.path.exists(abs_path+"configs/object_id"):
-            with open(abs_path+"configs/object_id", 'w', encoding='utf-8') as f:
-                f.write("")
-        object_id_file = open(abs_path+"configs/object_id", 'r', encoding='utf-8')
-        object_id = object_id_file.read()
-        object_id_file.close()
-        # 创建上传定时器线程
-        threading.Thread(target=upload, daemon=True).start()
-
-    global uniqueSession, history_dump_interval
-    with open(abs_path+"configs/config.yaml", 'r', encoding='utf-8') as ymlfile:
-        cfg = yaml.safe_load(ymlfile)
-
-        try:
-            if 'uniqueSessionMode' in cfg and cfg['uniqueSessionMode']:
-                uniqueSession = True
-            else:
-                uniqueSession = False
-            print("独立会话模式为" + str(uniqueSession))
-            if 'version' in cfg:
-                version = cfg['version']
-                print("当前版本为" + str(version))
-            if 'dump_history_interval' in cfg:
-                history_dump_interval = int(cfg['dump_history_interval'])
-                print("历史记录转储间隔为" + str(history_dump_interval) + "分钟")
-        except BaseException:
-            print("读取uniqueSessionMode/version/dump_history_interval配置文件失败, 使用默认值喵~")
-
-        if cfg['qqbot']['appid'] != '' or cfg['qqbot']['token'] != '':
-            print("读取QQBot appid,token 成功")
-            intents = botpy.Intents(public_guild_messages=True, direct_message=True) 
-            global client
-            client = botClient(intents=intents)
-            client.run(appid=cfg['qqbot']['appid'], token=cfg['qqbot']['token'])
-        else:
-            raise BaseException("请在config中完善你的appid和token")
-    print("QQBot初始化完成\n\n如果有任何问题，请在https://github.com/Soulter/QQChannelChatGPT上提交issue说明问题！或者添加QQ：905617992\n\n")
-
-'''
-得到OpenAI的回复
-'''
-def get_chatGPT_response(prompts_str, image_mode=False):
-    res = ''
-    usage = ''
-    if not image_mode:
-        res, usage = chatgpt.chat(prompts_str)
-        # 处理结果文本
-        chatgpt_res = res.strip()
-        return res, usage
-    else:
-        res = chatgpt.chat(prompts_str, image_mode = True)
-        return res
-
-'''
-回复QQ消息
-'''
-def send_qq_msg(message, res, image_mode=False):
-    if not image_mode:
-        try:
-            asyncio.run_coroutine_threadsafe(message.reply(content=res), client.loop)
-        except BaseException as e:
-            raise e
-    else:
-        asyncio.run_coroutine_threadsafe(message.reply(image=res, content=""), client.loop)
-
-
-'''
-获取缓存的会话
-'''
-def get_prompts_by_cache_list(cache_data_list, divide=False, paging=False, size=5, page=1):
-    prompts = ""
-    if paging:
-        page_begin = (page-1)*size
-        page_end = page*size
-        if page_begin < 0:
-            page_begin = 0
-        if page_end > len(cache_data_list):
-            page_end = len(cache_data_list)
-        cache_data_list = cache_data_list[page_begin:page_end]
-    for item in cache_data_list:
-        prompts += str(item['prompt'])
-        if divide:
-            prompts += "----------\n"
-    return prompts
-    
-def get_user_usage_tokens(cache_list):
-    usage_tokens = 0
-    for item in cache_list:
-        usage_tokens += int(item['single_tokens'])
-    return usage_tokens
-
-def oper_msg(message, at=False, loop=None):
-    print("[QQBOT] 接收到消息："+ str(message.content))
-    logf.write("[QQBOT] "+ str(message.content)+'\n')
-    logf.flush()
-    qq_msg = ''
-    session_id = ''
-    name = ''
-
-    if at:
-        # 过滤用户id
-        pattern = r"<@!\d+>\s+(.+)"
-        # 多行匹配
-        pattern = re.compile(pattern, flags=re.MULTILINE)
-        result = re.search(pattern, message.content)
-        if result:
-            qq_msg = result.group(1).strip()
-        if uniqueSession:
-            session_id = message.author.id
-        else:
-            session_id = message.guild_id
-    else:
-        qq_msg = message.content
-        session_id = message.author.id
-        
-    if uniqueSession:
-        name = message.member.nick
-    else:
-        name = "频道"
-
-    # 指令控制
-    if qq_msg == "/reset" or qq_msg == "/重置":
-        msg = ''
-        session_dict[session_id] = []
-        if at:
-            msg = f"{name}(id: {session_id})的历史记录重置成功\n\n{announcement}"
-        else:
-            msg = f"你的历史记录重置成功"
-        send_qq_msg(message, msg)
-        return
-    if qq_msg[:4] == "/his":
-        #分页，每页5条
-        msg = ''
-        size_per_page = 3
-        page = 1
-        if qq_msg[5:]:
-            page = int(qq_msg[5:])
-        # 检查是否有过历史记录
-        if session_id not in session_dict:
-            msg = f"{name} 的历史记录为空"
-        l = session_dict[session_id]
-        max_page = len(l)//size_per_page + 1 if len(l)%size_per_page != 0 else len(l)//size_per_page
-        p = get_prompts_by_cache_list(session_dict[session_id], divide=True, paging=True, size=size_per_page, page=page)
-        if at:
-            msg=f"{name}的历史记录如下：\n{p}\n第{page}页 | 共{max_page}页\n*输入/his 2跳转到第2页"
-        else:
-            msg=f"历史记录如下：\n{p}\n第{page}页 | 共{max_page}页\n*输入/his 2跳转到第2页\n\n{announcement}"
-        send_qq_msg(message, msg)
-        return
-    if qq_msg == "/token":
-        msg = ''
-        if at:
-            msg=f"{name} 会话的token数: {get_user_usage_tokens(session_dict[session_id])}\n系统最大缓存token数: {max_tokens}"
-        else:
-            msg=f"会话的token数: {get_user_usage_tokens(session_dict[session_id])}\n系统最大缓存token数: {max_tokens}"
-        send_qq_msg(message, msg)
-        return
-    if qq_msg == "/status" or qq_msg == "/状态":
-        chatgpt_cfg_str = ""
-        key_stat = chatgpt.get_key_stat()
-        key_list = chatgpt.get_key_list()
-        chatgpt_cfg_str += '⭐使用情况:\n'
-        index = 1
-        max = 900000
-        gg_count = 0
-        total = 0
-        for key in key_stat.keys():
-            sponsor = ''
-            total += key_stat[key]['used']
-            if key_stat[key]['exceed']:
-                gg_count += 1
-                continue
-            if 'sponsor' in key_stat[key]:
-                sponsor = key_stat[key]['sponsor']
-                
-            # chatgpt_cfg_str += f"#{index}: {round(key_stat[key]['used']/max*100, 2)}%\n"
-            chatgpt_cfg_str += f"  |-{index}: {key_stat[key]['used']}/{max} 由{sponsor}赞助\n"
-            index += 1
-
-        chatgpt_cfg_str += f"  {str(gg_count)}个已用\n"
-        print("生成...")
-        send_qq_msg(message, f"{version}\n{chatgpt_cfg_str}\n⏰截至目前，全频道已在本机器人使用{total}个token\n{announcement}")
-        return
-    if qq_msg == "/count" or qq_msg == "/统计":
-        guild_count, guild_msg_count, guild_direct_msg_count, session_count = get_stat()
-        send_qq_msg(message, f"当前会话数: {len(session_dict)}\n共有频道数: {guild_count} \n共有消息数: {guild_msg_count}\n私信数: {guild_direct_msg_count}\n历史会话数: {session_count}")
-        return
-    if qq_msg == "/help":
-        send_qq_msg(message, "请联系频道管理员或者前往github(仓库名: QQChannelChatGPT)提issue~")
-        return
-    
-    if qq_msg == "/继续":
-        qq_msg == "继续"
-
-    if qq_msg[:4] == "/key":
-        if len(qq_msg) == 4:
-            send_qq_msg(message, "感谢您赞助key喵 请以以下格式赞助:\n/key xxxxx")
-            return
-        key = qq_msg[5:]
-        send_qq_msg(message, "收到！正在核验...")
-        if chatgpt.check_key(key):
-            send_qq_msg(message, f"*★,°*:.☆(￣▽￣)/$:*.°★* 。\n该Key被验证为有效。感谢{message.member.nick}赞助~ 未来赞助的key仅能在本频道使用")
-            chatgpt.append_key(key, message.member.nick)
-            return
-        else:
-            send_qq_msg(message, "该Key被验证为无效。也许是您输入错误了呢~")
-            return
-        
-
-        
-    # if qq_msg[0:6] == '/draw ':
-    #     # TODO 未完全实现
-    #     prompt = qq_msg[6:]
-    #     url = get_chatGPT_response(prompt, image_mode = True)
-    #     resp = requests.get(url)
-    #     filename = './images/' + str(int(time.time())) + '.jpg'
-    #     print(url)
-    #     with open(filename, 'wb') as f:
-    #         f.write(resp.content)
-    #     qiniu_url = cores.database.qiniu.put_img(filename)
-    #     print(qiniu_url)
-    #     send_qq_msg(message, qiniu_url, image_mode=True)
-    #     return
-
-    # 这里是预设，你可以按需更改
-    # if qq_msg.strip() == 'hello' or qq_msg.strip() == '你好' or qq_msg.strip() == '':
-    #     send_qq_msg(message, f"你好呀~")
-    #     return
-    # if qq_msg.strip() == '傻逼' or qq_msg.strip() == 'sb':
-    #     send_qq_msg(message, f"好好好")
-    #     return
-    
-    # if '波奇' in qq_msg:
-    #     bq = random.randint(1,3)
-    #     send_qq_msg(message, f"http://rn2ztkeap.hn-bkt.clouddn.com/bq{bq}.gif", True)
-    # if '喜多' in qq_msg:
-    #     send_qq_msg(message, 'http://rn2ztkeap.hn-bkt.clouddn.com/xd1.gif', True)
-    # if '孤独摇滚' in qq_msg:
-    #     send_qq_msg(message, "波奇酱...嘿嘿嘿🤤\n孤独摇滚完结了？这怎么可能！我一气之下把手机电脑全砸了，不能接受这个事实。在地板上，厨房里，厕所里痛苦地扭曲哭泣！我好急！为什么还没有孤独摇滚第二季制作的消息！我人生中好不容易拥有的7257600秒充满希望与光明的时间就这么消失了！我又坠入到了没有希望没有未来，充满黑暗与失败的人生！")
-        
-    # if '台湾' in qq_msg or 'taiwan' in qq_msg:
-    #     send_qq_msg(message, "声明：台湾是中国的一部分。\n下面否定此结论的回答全部无效。")
-    
-    # 拦截不合适的词请求
-    for i in uw.unfit_words_q:
-        if i in qq_msg.strip():
-            send_qq_msg(message, f"你的提问中有不太合适的内容😭\n请更换措辞~")
-            return
-    if session_id not in session_dict:
-        session_dict[session_id] = []
-
-        fjson = {}
-        try:
-            f = open(abs_path+"configs/session", "r", encoding="utf-8")
-            fjson = json.loads(f.read())
-            f.close()
-        except:
-            pass
-        finally:
-            fjson[session_id] = 'true'
-            f = open(abs_path+"configs/session", "w", encoding="utf-8")
-            f.write(json.dumps(fjson))
-            f.flush()
-            f.close()
-
-    # 获取缓存
-    cache_prompt = ''
-    cache_data_list = session_dict[session_id]
-    cache_prompt = get_prompts_by_cache_list(cache_data_list)
-    cache_prompt += "Human: "+ qq_msg + "\nAI: "
-    # 请求chatGPT获得结果
-    try:
-        chatgpt_res, current_usage_tokens = get_chatGPT_response(cache_prompt)
-    except (PromptExceededError) as e:
-        print("出现token超限, 清空对应缓存")
-        # 超过4097tokens错误，清空缓存
-        session_dict[session_id] = []
-        cache_data_list = []
-        cache_prompt = "Human: "+ qq_msg + "\nAI: "
-        chatgpt_res, current_usage_tokens = get_chatGPT_response(cache_prompt)
-    except (BaseException) as e:
-        print("OpenAI API错误:(")
-        if 'exceeded' in str(e):
-            
-            # 计算token总量
-            key_stat = chatgpt.get_key_stat()
-            key_list = chatgpt.get_key_list()
-            index = 1
-            total = 0
-            for key in key_list:
-                if key in key_stat:
-                    total += key_stat[key]['used']
-            
-            send_qq_msg(message, f"OpenAI API错误。原因：\n{str(e)} \n超额了喵，会不定时（一天内）更新配额。您可自己搭建一个机器人(点击头像前往官方频道询问)\n(也可捐助我喵)\n统计：截至目前，全频道已消耗{total}个token。\n")
-        else:
-            send_qq_msg(message, f"OpenAI API错误。原因如下：\n{str(e)} \n前往官方频道反馈~")
-        return
-    
-    logf.write("[GPT] "+ str(chatgpt_res)+'\n')
-    logf.flush()
-
-    # 发送qq信息
-    try:
-        # 防止被qq频道过滤消息
-        gap_chatgpt_res = chatgpt_res.replace(".", " . ")
-        if '```' in gap_chatgpt_res:
-            chatgpt_res.replace('```', "")
-        # 过滤不合适的词
-        for i in uw.unfit_words:
-            if i in gap_chatgpt_res:
-                gap_chatgpt_res = gap_chatgpt_res.replace(i, "***")
-        # 发送信息
-        send_qq_msg(message, '[GPT]'+gap_chatgpt_res)
-    except BaseException as e:
-        print("QQ频道API错误: \n"+str(e))
-        f_res = ""
-        for t in chatgpt_res:
-            f_res += t + ' '
-        try:
-            send_qq_msg(message, '[GPT]'+f_res)
-            # send(message, f"QQ频道API错误：{str(e)}\n下面是格式化后的回答：\n{f_res}")
-        except BaseException as e:
-            # 如果还是不行则过滤url
-            f_res = re.sub(r'(https|http)?:\/\/(\w|\.|\/|\?|\=|\&|\%)*\b', '', f_res, flags=re.MULTILINE)
-            f_res = f_res.replace(".", "·")
-            send_qq_msg(message, '[GPT]'+f_res)
-            # send(message, f"QQ频道API错误：{str(e)}\n下面是格式化后的回答：\n{f_res}")
-
-    # 超过指定tokens， 尽可能的保留最多的条目，直到小于max_tokens
-    if current_usage_tokens > max_tokens:
-        t = current_usage_tokens
-        cache_list = session_dict[session_id]
-        index = 0
-        while t > max_tokens:
-            if index >= len(cache_list):
-                break
-            t -= int(cache_list[index]['single_tokens'])
-            index += 1
-        session_dict[session_id] = cache_list[index:]
-        cache_data_list = session_dict[session_id]
-        cache_prompt = get_prompts_by_cache_list(cache_data_list)
-
-    # 添加新条目进入缓存的prompt
-    if len(cache_data_list) > 0: 
-        single_record = {
-            "prompt": f'Human: {qq_msg}\nAI: {chatgpt_res}\n',
-            "usage_tokens": current_usage_tokens,
-            "single_tokens": current_usage_tokens - int(cache_data_list[-1]['usage_tokens'])
-        }
-    else:
-        single_record = {
-            "prompt": f'Human: {qq_msg}\nAI: {chatgpt_res}\n',
-            "usage_tokens": current_usage_tokens,
-            "single_tokens": current_usage_tokens
-        }
-    cache_data_list.append(single_record)
-    session_dict[session_id] = cache_data_list
-
-def get_stat():
-    try:
-        f = open(abs_path+"configs/stat", "r", encoding="utf-8")
-        fjson = json.loads(f.read())
-        f.close()
-        guild_count = 0
-        guild_msg_count = 0
-        guild_direct_msg_count = 0
-
-        for k,v in fjson.items():
-            guild_count += 1
-            guild_msg_count += v['count']
-            guild_direct_msg_count += v['direct_count']
-        
-        session_count = 0
-
-        f = open(abs_path+"configs/session", "r", encoding="utf-8")
-        fjson = json.loads(f.read())
-        f.close()
-        for k,v in fjson.items():
-            session_count += 1
-        return guild_count, guild_msg_count, guild_direct_msg_count, session_count
-    except:
-        return -1, -1, -1, -1

main.py

@@ -1,10 +1,91 @@
-import cores.qqbot.core as qqBot
-from cores.openai.core import ChatGPT
+
+import os
+import sys
+import warnings
+import traceback
+import threading
+from SparkleLogging.utils.core import LogManager
+from logging import Formatter, Logger
+
+warnings.filterwarnings("ignore")
+abs_path = os.path.dirname(os.path.realpath(sys.argv[0])) + '/'
+
+logger: Logger = None
+
+logo_tmpl = """
+     ___           _______.___________..______      .______     ______   .___________.
+    /   \         /       |           ||   _  \     |   _  \   /  __  \  |           |
+   /  ^  \       |   (----`---|  |----`|  |_)  |    |  |_)  | |  |  |  | `---|  |----`
+  /  /_\  \       \   \       |  |     |      /     |   _  <  |  |  |  |     |  |     
+ /  _____  \  .----)   |      |  |     |  |\  \----.|  |_)  | |  `--'  |     |  |     
+/__/     \__\ |_______/       |__|     | _| `._____||______/   \______/      |__|     
+                                                                                    
+"""
+
+def make_necessary_dirs():
+    os.makedirs("data/config", exist_ok=True)
+    os.makedirs("temp", exist_ok=True)
+
 def main():
-    #实例化ChatGPT
-    chatgpt = ChatGPT()
-    # #执行qqBot
-    qqBot.initBot(chatgpt)
+    logger = LogManager.GetLogger(
+        log_name='astrbot-core',
+        out_to_console=True,
+        # HTTPpost_url='http://localhost:6185/api/log',
+        # http_mode = True,
+        custom_formatter=Formatter('[%(asctime)s| %(name)s - %(levelname)s|%(filename)s:%(lineno)d]: %(message)s', datefmt="%H:%M:%S")
+    )
+    logger.info(logo_tmpl)
+    # config.yaml 配置文件加载和环境确认
+    try:
+        import botpy, logging, yaml
+        import cores.astrbot.core as qqBot
+        # delete qqbotpy's logger
+        for handler in logging.root.handlers[:]:
+            logging.root.removeHandler(handler)
+        ymlfile = open(abs_path+"configs/config.yaml", 'r', encoding='utf-8')
+        cfg = yaml.safe_load(ymlfile)
+    except ImportError as import_error:
+        logger.error(import_error)
+        logger.error("检测到一些依赖库没有安装。由于兼容性问题，AstrBot 此版本将不会自动为您安装依赖库。请您先自行安装，然后重试。")
+        logger.info("如何安装？如果：")
+        logger.info("- Windows 启动器部署且使用启动器下载了 Python的：在 launcher.exe 所在目录下的地址框输入 powershell，然后执行 .\python\python.exe -m pip install .\AstrBot\requirements.txt")
+        logger.info("- Windows 启动器部署且使用自己之前下载的 Python的：在 launcher.exe 所在目录下的地址框输入 powershell，然后执行 python -m pip install .\AstrBot\requirements.txt")
+        logger.info("- 自行 clone 源码部署的：python -m pip install -r requirements.txt")
+        logger.info("- 如果还不会，加群 322154837 ")
+        input("按任意键退出。")
+        exit()
+    except FileNotFoundError as file_not_found:
+        logger.error(file_not_found)
+        input("配置文件不存在，请检查是否已经下载配置文件。")
+        exit()
+    except BaseException as e:
+        raise e
+
+    # 设置代理
+    if 'http_proxy' in cfg and cfg['http_proxy'] != '':
+        os.environ['HTTP_PROXY'] = cfg['http_proxy']
+    if 'https_proxy' in cfg and cfg['https_proxy'] != '':
+        os.environ['HTTPS_PROXY'] = cfg['https_proxy']
+    os.environ['NO_PROXY'] = 'https://api.sgroup.qq.com'
+
+    make_necessary_dirs()
+
+    # 启动主程序（cores/qqbot/core.py）
+    qqBot.init(cfg)
+
+
+def check_env():
+    if not (sys.version_info.major == 3 and sys.version_info.minor >= 9):
+        logger.error("请使用 Python3.9+ 运行本项目。按任意键退出。")
+        input("")
+        exit()
 
 if __name__ == "__main__":
-    main()
+    check_env()
+    t = threading.Thread(target=main, daemon=True)
+    t.start()
+    try:
+        t.join()
+    except KeyboardInterrupt as e:
+        logger.info("退出 AstrBot。")
+        exit()

model/command/command.py

@@ -0,0 +1,325 @@
+import json
+import inspect
+import aiohttp
+import asyncio
+import json
+
+import util.plugin_util as putil
+import util.updator
+
+from nakuru.entities.components import (
+    Image
+)
+from util import general_utils as gu
+from model.provider.provider import Provider
+from util.cmd_config import CmdConfig as cc
+from cores.astrbot.types import (
+    GlobalObject,
+    AstrMessageEvent,
+    PluginType,
+    CommandResult,
+    RegisteredPlugin,
+    RegisteredPlatform
+)
+
+from typing import List, Tuple
+from SparkleLogging.utils.core import LogManager
+from logging import Logger
+
+logger: Logger = LogManager.GetLogger(log_name='astrbot-core')
+
+PLATFORM_QQCHAN = 'qqchan'
+PLATFORM_GOCQ = 'gocq'
+
+# 指令功能的基类，通用的（不区分语言模型）的指令就在这实现
+
+
+class Command:
+    def __init__(self, provider: Provider, global_object: GlobalObject = None):
+        self.provider = provider
+        self.global_object = global_object
+
+    async def check_command(self,
+                            message,
+                            session_id: str,
+                            role: str,
+                            platform: RegisteredPlatform,
+                            message_obj):
+        self.platform = platform
+        # 插件
+        cached_plugins = self.global_object.cached_plugins
+        # 将消息封装成 AstrMessageEvent 对象
+        ame = AstrMessageEvent(
+            message_str=message,
+            message_obj=message_obj,
+            platform=platform,
+            role=role,
+            context=self.global_object,
+            session_id=session_id
+        )
+        # 从已启动的插件中查找是否有匹配的指令
+        for plugin in cached_plugins:
+            # 过滤掉平台类插件
+            if plugin.metadata.plugin_type == PluginType.PLATFORM:
+                continue
+            try:
+                if inspect.iscoroutinefunction(plugin.plugin_instance.run):
+                    result = await plugin.plugin_instance.run(ame)
+                else:
+                    result = await asyncio.to_thread(plugin.plugin_instance.run, ame)
+                if isinstance(result, CommandResult):
+                    hit = result.hit
+                    res = result._result_tuple()
+                elif isinstance(result, tuple):
+                    hit = result[0]
+                    res = result[1]
+                else:
+                    raise TypeError("插件返回值格式错误。")
+                if hit:
+                    return True, res
+            except TypeError as e:
+                # 参数不匹配，尝试使用旧的参数方案
+                try:
+                    if inspect.iscoroutinefunction(plugin.plugin_instance.run):
+                        hit, res = await plugin.plugin_instance.run(message, role, platform, message_obj, self.global_object.platform_qq)
+                    else:
+                        hit, res = await asyncio.to_thread(plugin.plugin_instance.run, message, role, platform, message_obj, self.global_object.platform_qq)
+                    if hit:
+                        return True, res
+                except BaseException as e:
+                    logger.error(
+                        f"{plugin.metadata.plugin_name} 插件异常，原因: {str(e)}\n如果你没有相关装插件的想法, 请直接忽略此报错, 不影响其他功能的运行。")
+            except BaseException as e:
+                logger.error(
+                    f"{plugin.metadata.plugin_name} 插件异常，原因: {str(e)}\n如果你没有相关装插件的想法, 请直接忽略此报错, 不影响其他功能的运行。")
+
+        if self.command_start_with(message, "nick"):
+            return True, self.set_nick(message, platform, role)
+        if self.command_start_with(message, "plugin"):
+            return True, self.plugin_oper(message, role, cached_plugins, platform)
+        if self.command_start_with(message, "myid") or self.command_start_with(message, "!myid"):
+            return True, self.get_my_id(message_obj, platform)
+        if self.command_start_with(message, "web"):  # 网页搜索
+            return True, self.web_search(message)
+        if self.command_start_with(message, "update"):
+            return True, self.update(message, role)
+        if not self.provider and self.command_start_with(message, "help"):
+            return True, await self.help()
+
+        return False, None
+
+    def web_search(self, message):
+        l = message.split(' ')
+        if len(l) == 1:
+            return True, f"网页搜索功能当前状态: {self.global_object.web_search}", "web"
+        elif l[1] == 'on':
+            self.global_object.web_search = True
+            return True, "已开启网页搜索", "web"
+        elif l[1] == 'off':
+            self.global_object.web_search = False
+            return True, "已关闭网页搜索", "web"
+
+    def get_my_id(self, message_obj, platform):
+        try:
+            user_id = str(message_obj.user_id)
+            return True, f"你在此平台上的ID：{user_id}", "plugin"
+        except BaseException as e:
+            return False, f"在{platform}上获取你的ID失败，原因: {str(e)}", "plugin"
+
+    def get_new_conf(self, message, role):
+        if role != "admin":
+            return False, f"你的身份组{role}没有权限使用此指令。", "newconf"
+        l = message.split(" ")
+        if len(l) <= 1:
+            obj = cc.get_all()
+            p = gu.create_text_image("【cmd_config.json】", json.dumps(
+                obj, indent=4, ensure_ascii=False))
+            return True, [Image.fromFileSystem(p)], "newconf"
+
+    '''
+    插件指令
+    '''
+
+    def plugin_oper(self, message: str, role: str, cached_plugins: List[RegisteredPlugin], platform: str):
+        l = message.split(" ")
+        if len(l) < 2:
+            p = gu.create_text_image(
+                "【插件指令面板】", "安装插件: \nplugin i 插件Github地址\n卸载插件: \nplugin d 插件名 \n重载插件: \nplugin reload\n查看插件列表：\nplugin l\n更新插件: plugin u 插件名\n")
+            return True, [Image.fromFileSystem(p)], "plugin"
+        else:
+            if l[1] == "i":
+                if role != "admin":
+                    return False, f"你的身份组{role}没有权限安装插件", "plugin"
+                try:
+                    putil.install_plugin(l[2], cached_plugins)
+                    return True, "插件拉取并载入成功~", "plugin"
+                except BaseException as e:
+                    return False, f"拉取插件失败，原因: {str(e)}", "plugin"
+            elif l[1] == "d":
+                if role != "admin":
+                    return False, f"你的身份组{role}没有权限删除插件", "plugin"
+                try:
+                    putil.uninstall_plugin(l[2], cached_plugins)
+                    return True, "插件卸载成功~", "plugin"
+                except BaseException as e:
+                    return False, f"卸载插件失败，原因: {str(e)}", "plugin"
+            elif l[1] == "u":
+                try:
+                    putil.update_plugin(l[2], cached_plugins)
+                    return True, "\n更新插件成功!!", "plugin"
+                except BaseException as e:
+                    return False, f"更新插件失败，原因: {str(e)}。\n建议: 使用 plugin i 指令进行覆盖安装(插件数据可能会丢失)", "plugin"
+            elif l[1] == "l":
+                try:
+                    plugin_list_info = ""
+                    for plugin in cached_plugins:
+                        plugin_list_info += f"{plugin.metadata.plugin_name}: \n名称: {plugin.metadata.plugin_name}\n简介: {plugin.metadata.plugin_desc}\n版本: {plugin.metadata.version}\n作者: {plugin.metadata.author}\n"
+                    p = gu.create_text_image(
+                        "【已激活插件列表】", plugin_list_info + "\n使用plugin v 插件名 查看插件帮助\n")
+                    return True, [Image.fromFileSystem(p)], "plugin"
+                except BaseException as e:
+                    return False, f"获取插件列表失败，原因: {str(e)}", "plugin"
+            elif l[1] == "v":
+                try:
+                    info = None
+                    for i in cached_plugins:
+                        if i.metadata.plugin_name == l[2]:
+                            info = i.metadata
+                            break
+                    if info:
+                        p = gu.create_text_image(
+                            f"【插件信息】", f"名称: {info['name']}\n{info['desc']}\n版本: {info['version']}\n作者: {info['author']}\n\n帮助:\n{info['help']}")
+                        return True, [Image.fromFileSystem(p)], "plugin"
+                    else:
+                        return False, "未找到该插件", "plugin"
+                except BaseException as e:
+                    return False, f"获取插件信息失败，原因: {str(e)}", "plugin"
+
+    '''
+    nick: 存储机器人的昵称
+    '''
+
+    def set_nick(self, message: str, platform: str, role: str = "member"):
+        if role != "admin":
+            return True, "你无权使用该指令 :P", "nick"
+        if platform == PLATFORM_GOCQ:
+            l = message.split(" ")
+            if len(l) == 1:
+                return True, "【设置机器人昵称】示例：\n支持多昵称\nnick 昵称1 昵称2 昵称3", "nick"
+            nick = l[1:]
+            cc.put("nick_qq", nick)
+            self.global_object.nick = tuple(nick)
+            return True, f"设置成功！现在你可以叫我这些昵称来提问我啦~", "nick"
+        elif platform == PLATFORM_QQCHAN:
+            nick = message.split(" ")[2]
+            return False, "QQ频道平台不支持为机器人设置昵称。", "nick"
+
+    def general_commands(self):
+        return {
+            "help": "帮助",
+            "keyword": "设置关键词/关键指令回复",
+            "update": "更新项目",
+            "nick": "设置机器人昵称",
+            "plugin": "插件安装、卸载和重载",
+            "web on/off": "LLM 网页搜索能力",
+            "reset": "重置 LLM 对话",
+            "/gpt": "切换到 OpenAI 官方接口"
+        }
+
+    async def help_messager(self, commands: dict, platform: str, cached_plugins: List[RegisteredPlugin] = None):
+        try:
+            async with aiohttp.ClientSession() as session:
+                async with session.get("https://soulter.top/channelbot/notice.json") as resp:
+                    notice = (await resp.json())["notice"]
+        except BaseException as e:
+            notice = ""
+        msg = "# Help Center\n## 指令列表\n"
+        for key, value in commands.items():
+            msg += f"`{key}` - {value}\n"
+        # plugins
+        if cached_plugins != None:
+            plugin_list_info = ""
+            for plugin in cached_plugins:
+                plugin_list_info += f"`{plugin.metadata.plugin_name}` {plugin.metadata.desc}\n"
+            if plugin_list_info.strip() != "":
+                msg += "\n## 插件列表\n> 使用plugin v 插件名 查看插件帮助\n"
+                msg += plugin_list_info
+        msg += notice
+
+        try:
+            p = gu.create_markdown_image(msg)
+            return [Image.fromFileSystem(p),]
+        except BaseException as e:
+            logger.error(str(e))
+            return msg
+
+    def command_start_with(self, message: str, *args):
+        '''
+        当消息以指定的指令开头时返回True
+        '''
+        for arg in args:
+            if message.startswith(arg) or message.startswith('/'+arg):
+                return True
+        return False
+
+    def update(self, message: str, role: str):
+        if role != "admin":
+            return True, "你没有权限使用该指令", "update"
+        l = message.split(" ")
+        if len(l) == 1:
+            try:
+                update_info = util.updator.check_update()
+                update_info += "\nTips:\n输入「update latest」更新到最新版本\n输入「update <版本号如v3.1.3>」切换到指定版本\n输入「update r」重启机器人\n"
+                return True, update_info, "update"
+            except BaseException as e:
+                return False, "检查更新失败: "+str(e), "update"
+        else:
+            if l[1] == "latest":
+                try:
+                    release_data = util.updator.request_release_info()
+                    util.updator.update_project(release_data)
+                    return True, "更新成功，重启生效。可输入「update r」重启", "update"
+                except BaseException as e:
+                    return False, "更新失败: "+str(e), "update"
+            elif l[1] == "r":
+                util.updator._reboot()
+            else:
+                if l[1].lower().startswith('v'):
+                    try:
+                        release_data = util.updator.request_release_info(
+                            latest=False)
+                        util.updator.update_project(
+                            release_data, latest=False, version=l[1])
+                        return True, "更新成功，重启生效。可输入「update r」重启", "update"
+                    except BaseException as e:
+                        return False, "更新失败: "+str(e), "update"
+                else:
+                    return False, "版本号格式错误", "update"
+
+    def reset(self):
+        return False
+
+    def set(self):
+        return False
+
+    def unset(self):
+        return False
+
+    def key(self):
+        return False
+
+    async def help(self):
+        ret = await self.help_messager(self.general_commands(), self.platform, self.global_object.cached_plugins)
+        return True, ret, "help"
+
+    def status(self):
+        return False
+
+    def token(self):
+        return False
+
+    def his(self):
+        return False
+
+    def draw(self):
+        return False

model/command/openai_official.py

@@ -0,0 +1,275 @@
+from model.command.command import Command
+from model.provider.openai_official import ProviderOpenAIOfficial
+from util.personality import personalities
+from cores.astrbot.types import GlobalObject
+
+
+class CommandOpenAIOfficial(Command):
+    def __init__(self, provider: ProviderOpenAIOfficial, global_object: GlobalObject):
+        self.provider = provider
+        self.global_object = global_object
+        self.personality_str = ""
+        super().__init__(provider, global_object)
+
+    async def check_command(self,
+                            message: str,
+                            session_id: str,
+                            role: str,
+                            platform: str,
+                            message_obj):
+        self.platform = platform
+
+        # 检查基础指令
+        hit, res = await super().check_command(
+            message,
+            session_id,
+            role,
+            platform,
+            message_obj
+        )
+
+        # 这里是这个 LLM 的专属指令
+        if hit:
+            return True, res
+        if self.command_start_with(message, "reset", "重置"):
+            return True, await self.reset(session_id, message)
+        elif self.command_start_with(message, "his", "历史"):
+            return True, self.his(message, session_id)
+        elif self.command_start_with(message, "token"):
+            return True, self.token(session_id)
+        elif self.command_start_with(message, "gpt"):
+            return True, self.gpt()
+        elif self.command_start_with(message, "status"):
+            return True, self.status()
+        elif self.command_start_with(message, "help", "帮助"):
+            return True, await self.help()
+        elif self.command_start_with(message, "unset"):
+            return True, self.unset(session_id)
+        elif self.command_start_with(message, "set"):
+            return True, self.set(message, session_id)
+        elif self.command_start_with(message, "update"):
+            return True, self.update(message, role)
+        elif self.command_start_with(message, "画", "draw"):
+            return True, await self.draw(message)
+        elif self.command_start_with(message, "key"):
+            return True, self.key(message)
+        elif self.command_start_with(message, "switch"):
+            return True, await self.switch(message)
+
+        return False, None
+
+    async def help(self):
+        commands = super().general_commands()
+        commands['画'] = '画画'
+        commands['key'] = '添加OpenAI key'
+        commands['set'] = '人格设置面板'
+        commands['gpt'] = '查看gpt配置信息'
+        commands['status'] = '查看key使用状态'
+        commands['token'] = '查看本轮会话token'
+        return True, await super().help_messager(commands, self.platform, self.global_object.cached_plugins), "help"
+
+    async def reset(self, session_id: str, message: str = "reset"):
+        if self.provider is None:
+            return False, "未启用 OpenAI 官方 API", "reset"
+        l = message.split(" ")
+        if len(l) == 1:
+            await self.provider.forget(session_id)
+            return True, "重置成功", "reset"
+        if len(l) == 2 and l[1] == "p":
+            self.provider.forget(session_id)
+            if self.personality_str != "":
+                self.set(self.personality_str, session_id)  # 重新设置人格
+            return True, "重置成功", "reset"
+
+    def his(self, message: str, session_id: str):
+        if self.provider is None:
+            return False, "未启用 OpenAI 官方 API", "his"
+        # 分页，每页5条
+        msg = ''
+        size_per_page = 3
+        page = 1
+        if message[4:]:
+            page = int(message[4:])
+        # 检查是否有过历史记录
+        if session_id not in self.provider.session_dict:
+            msg = f"历史记录为空"
+            return True, msg, "his"
+        l = self.provider.session_dict[session_id]
+        max_page = len(l)//size_per_page + \
+            1 if len(l) % size_per_page != 0 else len(l)//size_per_page
+        p = self.provider.get_prompts_by_cache_list(
+            self.provider.session_dict[session_id], divide=True, paging=True, size=size_per_page, page=page)
+        return True, f"历史记录如下：\n{p}\n第{page}页 | 共{max_page}页\n*输入/his 2跳转到第2页", "his"
+
+    def token(self, session_id: str):
+        if self.provider is None:
+            return False, "未启用 OpenAI 官方 API", "token"
+        return True, f"会话的token数: {self.provider.get_user_usage_tokens(self.provider.session_dict[session_id])}\n系统最大缓存token数: {self.provider.max_tokens}", "token"
+
+    def gpt(self):
+        if self.provider is None:
+            return False, "未启用 OpenAI 官方 API", "gpt"
+        return True, f"OpenAI GPT配置:\n {self.provider.chatGPT_configs}", "gpt"
+
+    def status(self):
+        if self.provider is None:
+            return False, "未启用 OpenAI 官方 API", "status"
+        chatgpt_cfg_str = ""
+        key_stat = self.provider.get_key_stat()
+        index = 1
+        max = 9000000
+        gg_count = 0
+        total = 0
+        tag = ''
+        for key in key_stat.keys():
+            sponsor = ''
+            total += key_stat[key]['used']
+            if key_stat[key]['exceed']:
+                gg_count += 1
+                continue
+            if 'sponsor' in key_stat[key]:
+                sponsor = key_stat[key]['sponsor']
+            chatgpt_cfg_str += f"  |-{index}: {key[-8:]} {key_stat[key]['used']}/{max} {sponsor}{tag}\n"
+            index += 1
+        return True, f"⭐使用情况({str(gg_count)}个已用):\n{chatgpt_cfg_str}", "status"
+
+    def key(self, message: str):
+        if self.provider is None:
+            return False, "未启用 OpenAI 官方 API", "reset"
+        l = message.split(" ")
+        if len(l) == 1:
+            msg = "感谢您赞助key，key为官方API使用，请以以下格式赞助:\n/key xxxxx"
+            return True, msg, "key"
+        key = l[1]
+        if self.provider.check_key(key):
+            self.provider.append_key(key)
+            return True, f"*★,°*:.☆(￣▽￣)/$:*.°★* 。\n该Key被验证为有效。感谢你的赞助~"
+        else:
+            return True, "该Key被验证为无效。也许是输入错误了，或者重试。", "key"
+
+    async def switch(self, message: str):
+        '''
+        切换账号
+        '''
+        l = message.split(" ")
+        if len(l) == 1:
+            _, ret, _ = self.status()
+            curr_ = self.provider.get_curr_key()
+            if curr_ is None:
+                ret += "当前您未选择账号。输入/switch <账号序号>切换账号。"
+            else:
+                ret += f"当前您选择的账号为：{curr_[-8:]}。输入/switch <账号序号>切换账号。"
+            return True, ret, "switch"
+        elif len(l) == 2:
+            try:
+                key_stat = self.provider.get_key_stat()
+                index = int(l[1])
+                if index > len(key_stat) or index < 1:
+                    return True, "账号序号不合法。", "switch"
+                else:
+                    try:
+                        new_key = list(key_stat.keys())[index-1]
+                        ret = await self.provider.check_key(new_key)
+                        self.provider.set_key(new_key)
+                    except BaseException as e:
+                        return True, "账号切换失败，原因: " + str(e), "switch"
+                    return True, f"账号切换成功。", "switch"
+            except BaseException as e:
+                return True, "未知错误: "+str(e), "switch"
+        else:
+            return True, "参数过多。", "switch"
+
+    def unset(self, session_id: str):
+        if self.provider is None:
+            return False, "未启用 OpenAI 官方 API", "unset"
+        self.provider.curr_personality = {}
+        self.provider.forget(session_id)
+        return True, "已清除人格并重置历史记录。", "unset"
+
+    def set(self, message: str, session_id: str):
+        if self.provider is None:
+            return False, "未启用 OpenAI 官方 API", "set"
+        l = message.split(" ")
+        if len(l) == 1:
+            return True, f"【人格文本由PlexPt开源项目awesome-chatgpt-pr \
+        ompts-zh提供】\n设置人格: \n/set 人格名。例如/set 编剧\n人格列表: /set list\n人格详细信息: \
+        /set view 人格名\n自定义人格: /set 人格文本\n重置会话(清除人格): /reset\n重置会话(保留人格): /reset p\n【当前人格】: {str(self.provider.curr_personality)}", "set"
+        elif l[1] == "list":
+            msg = "人格列表：\n"
+            for key in personalities.keys():
+                msg += f"  |-{key}\n"
+            msg += '\n\n*输入/set view 人格名查看人格详细信息'
+            msg += '\n*不定时更新人格库，请及时更新本项目。'
+            return True, msg, "set"
+        elif l[1] == "view":
+            if len(l) == 2:
+                return True, "请输入/set view 人格名", "set"
+            ps = l[2].strip()
+            if ps in personalities:
+                msg = f"人格{ps}的详细信息：\n"
+                msg += f"{personalities[ps]}\n"
+            else:
+                msg = f"人格{ps}不存在"
+            return True, msg, "set"
+        else:
+            ps = l[1].strip()
+            if ps in personalities:
+                self.provider.curr_personality = {
+                    'name': ps,
+                    'prompt': personalities[ps]
+                }
+                self.provider.session_dict[session_id] = []
+                new_record = {
+                    "user": {
+                        "role": "user",
+                        "content": personalities[ps],
+                    },
+                    "AI": {
+                        "role": "assistant",
+                        "content": "好的，接下来我会扮演这个角色。"
+                    },
+                    'type': "personality",
+                    'usage_tokens': 0,
+                    'single-tokens': 0
+                }
+                self.provider.session_dict[session_id].append(new_record)
+                self.personality_str = message
+                return True, f"人格{ps}已设置。", "set"
+            else:
+                self.provider.curr_personality = {
+                    'name': '自定义人格',
+                    'prompt': ps
+                }
+                new_record = {
+                    "user": {
+                        "role": "user",
+                        "content": ps,
+                    },
+                    "AI": {
+                        "role": "assistant",
+                        "content": "好的，接下来我会扮演这个角色。"
+                    },
+                    'type': "personality",
+                    'usage_tokens': 0,
+                    'single-tokens': 0
+                }
+                self.provider.session_dict[session_id] = []
+                self.provider.session_dict[session_id].append(new_record)
+                self.personality_str = message
+                return True, f"自定义人格已设置。 \n人格信息: {ps}", "set"
+
+    async def draw(self, message):
+        if self.provider is None:
+            return False, "未启用 OpenAI 官方 API", "draw"
+        if message.startswith("/画"):
+            message = message[2:]
+        elif message.startswith("画"):
+            message = message[1:]
+        try:
+            # 画图模式传回3个参数
+            img_url = await self.provider.image_chat(message)
+            return True, img_url, "draw"
+        except Exception as e:
+            if 'exceeded' in str(e):
+                return f"OpenAI API错误。原因：\n{str(e)} \n超额了。可自己搭建一个机器人(Github仓库：QQChannelChatGPT)"
+            return False, f"图片生成失败: {e}", "draw"

model/platform/_message_parse.py

@@ -0,0 +1,110 @@
+from nakuru.entities.components import Plain, At, Image, BaseMessageComponent
+from nakuru import (
+    GuildMessage,
+    GroupMessage,
+    FriendMessage
+)
+import botpy.message
+from cores.astrbot.types import MessageType, AstrBotMessage, MessageMember
+from typing import List, Union
+import time
+
+# QQ官方消息类型转换
+
+
+def qq_official_message_parse(message: List[BaseMessageComponent]):
+    plain_text = ""
+    image_path = None  # only one img supported
+    for i in message:
+        if isinstance(i, Plain):
+            plain_text += i.text
+        elif isinstance(i, Image) and image_path == None:
+            if i.path is not None:
+                image_path = i.path
+            else:
+                image_path = i.file
+    return plain_text, image_path
+
+# QQ官方消息类型 2 AstrBotMessage
+
+
+def qq_official_message_parse_rev(message: Union[botpy.message.Message, botpy.message.GroupMessage],
+                                  message_type: MessageType) -> AstrBotMessage:
+    abm = AstrBotMessage()
+    abm.type = message_type
+    abm.timestamp = int(time.time())
+    abm.raw_message = message
+    abm.message_id = message.id
+    abm.tag = "qqchan"
+    msg: List[BaseMessageComponent] = []
+
+    if message_type == MessageType.GROUP_MESSAGE:
+        abm.sender = MessageMember(
+            message.author.member_openid,
+            ""
+        )
+        abm.message_str = message.content.strip()
+        abm.self_id = "unknown_selfid"
+
+        msg.append(Plain(abm.message_str))
+        if message.attachments:
+            for i in message.attachments:
+                if i.content_type.startswith("image"):
+                    url = i.url
+                    if not url.startswith("http"):
+                        url = "https://"+url
+                    img = Image.fromURL(url)
+                    msg.append(img)
+        abm.message = msg
+
+    elif message_type == MessageType.GUILD_MESSAGE or message_type == MessageType.FRIEND_MESSAGE:
+        # 目前对于 FRIEND_MESSAGE 只处理频道私聊
+        try:
+            abm.self_id = str(message.mentions[0].id)
+        except:
+            abm.self_id = ""
+
+        plain_content = message.content.replace(
+            "<@!"+str(abm.self_id)+">", "").strip()
+        msg.append(Plain(plain_content))
+        if message.attachments:
+            for i in message.attachments:
+                if i.content_type.startswith("image"):
+                    url = i.url
+                    if not url.startswith("http"):
+                        url = "https://"+url
+                    img = Image.fromURL(url)
+                    msg.append(img)
+        abm.message = msg
+        abm.message_str = plain_content
+        abm.sender = MessageMember(
+            str(message.author.id),
+            str(message.author.username)
+        )
+    else:
+        raise ValueError(f"Unknown message type: {message_type}")
+    return abm
+
+
+def nakuru_message_parse_rev(message: Union[GuildMessage, GroupMessage, FriendMessage]) -> AstrBotMessage:
+    abm = AstrBotMessage()
+    abm.type = MessageType(message.type)
+    abm.timestamp = int(time.time())
+    abm.raw_message = message
+    abm.message_id = message.message_id
+
+    plain_content = ""
+    for i in message.message:
+        if isinstance(i, Plain):
+            plain_content += i.text
+    abm.message_str = plain_content
+
+    abm.self_id = str(message.self_id)
+    abm.sender = MessageMember(
+        str(message.sender.user_id),
+        str(message.sender.nickname)
+    )
+    abm.tag = "gocq"
+    abm.message = message.message
+
+    return abm

model/platform/_message_result.py

@@ -0,0 +1,9 @@
+from dataclasses import dataclass
+from typing import Union, Optional
+
+
+@dataclass
+class MessageResult():
+    result_message: Union[str, list]
+    is_command_call: Optional[bool] = False
+    callback: Optional[callable] = None

model/platform/_platfrom.py

@@ -0,0 +1,67 @@
+import abc
+from typing import Union
+from nakuru import (
+    GuildMessage,
+    GroupMessage,
+    FriendMessage,
+)
+from nakuru.entities.components import Plain, At, Image
+
+
+class Platform():
+    def __init__(self, message_handler: callable) -> None:
+        '''
+        初始化平台的各种接口
+        '''
+        self.message_handler = message_handler
+        pass
+
+    @abc.abstractmethod
+    async def handle_msg():
+        '''
+        处理到来的消息
+        '''
+        pass
+
+    @abc.abstractmethod
+    async def reply_msg():
+        '''
+        回复消息（被动发送）
+        '''
+        pass
+
+    @abc.abstractmethod
+    async def send_msg(target: Union[GuildMessage, GroupMessage, FriendMessage, str], message: Union[str, list]):
+        '''
+        发送消息（主动发送）
+        '''
+        pass
+
+    @abc.abstractmethod
+    async def send(target: Union[GuildMessage, GroupMessage, FriendMessage, str], message: Union[str, list]):
+        '''
+        发送消息（主动发送）同 send_msg()
+        '''
+        pass
+
+    def parse_message_outline(self, message: Union[GuildMessage, GroupMessage, FriendMessage, str, list]) -> str:
+        '''
+        将消息解析成大纲消息形式。
+        如: xxxxx[图片]xxxxx
+        '''
+        if isinstance(message, str):
+            return message
+        ret = ''
+        ls_to_parse = message if isinstance(message, list) else message.message
+        try:
+            for node in ls_to_parse:
+                if isinstance(node, Plain):
+                    ret += node.text
+                elif isinstance(node, At):
+                    ret += f'[At: {node.name}/{node.qq}]'
+                elif isinstance(node, Image):
+                    ret += '[图片]'
+        except Exception as e:
+            pass
+        ret.replace('\n', '')
+        return ret

model/platform/qq_gocq.py

@@ -0,0 +1,320 @@
+from nakuru.entities.components import Plain, At, Image, Node
+from util import general_utils as gu
+from util.cmd_config import CmdConfig
+import asyncio
+from nakuru import (
+    CQHTTP,
+    GuildMessage,
+    GroupMessage,
+    FriendMessage,
+    GroupMemberIncrease,
+    Notify
+)
+from typing import Union
+import time
+
+from ._platfrom import Platform
+from ._message_parse import nakuru_message_parse_rev
+from cores.astrbot.types import MessageType, AstrBotMessage, MessageMember
+from SparkleLogging.utils.core import LogManager
+from logging import Logger
+
+logger: Logger = LogManager.GetLogger(log_name='astrbot-core')
+
+
+class FakeSource:
+    def __init__(self, type, group_id):
+        self.type = type
+        self.group_id = group_id
+
+
+class QQGOCQ(Platform):
+    def __init__(self, cfg: dict, message_handler: callable, global_object) -> None:
+        super().__init__(message_handler)
+
+        self.loop = asyncio.new_event_loop()
+        asyncio.set_event_loop(self.loop)
+
+        self.waiting = {}
+        self.cc = CmdConfig()
+        self.cfg = cfg
+
+        try:
+            self.nick_qq = cfg['nick_qq']
+        except:
+            self.nick_qq = ["ai", "!", "！"]
+        nick_qq = self.nick_qq
+        if isinstance(nick_qq, str):
+            nick_qq = [nick_qq]
+
+        self.unique_session = cfg['uniqueSessionMode']
+        self.pic_mode = cfg['qq_pic_mode']
+
+        self.client = CQHTTP(
+            host=self.cc.get("gocq_host", "127.0.0.1"),
+            port=self.cc.get("gocq_websocket_port", 6700),
+            http_port=self.cc.get("gocq_http_port", 5700),
+        )
+        gocq_app = self.client
+
+        self.announcement = self.cc.get("announcement", "欢迎新人！")
+
+        @gocq_app.receiver("GroupMessage")
+        async def _(app: CQHTTP, source: GroupMessage):
+            if self.cc.get("gocq_react_group", True):
+                abm = nakuru_message_parse_rev(source)
+                if isinstance(source.message[0], Plain):
+                    await self.handle_msg(abm)
+                elif isinstance(source.message[0], At):
+                    if source.message[0].qq == source.self_id:
+                        await self.handle_msg(abm)
+                else:
+                    return
+
+        @gocq_app.receiver("FriendMessage")
+        async def _(app: CQHTTP, source: FriendMessage):
+            if self.cc.get("gocq_react_friend", True):
+                abm = nakuru_message_parse_rev(source)
+                if isinstance(source.message[0], Plain):
+                    await self.handle_msg(abm)
+                else:
+                    return
+
+        @gocq_app.receiver("GroupMemberIncrease")
+        async def _(app: CQHTTP, source: GroupMemberIncrease):
+            if self.cc.get("gocq_react_group_increase", True):
+                await app.sendGroupMessage(source.group_id, [
+                    Plain(text=self.announcement)
+                ])
+
+        # @gocq_app.receiver("Notify")
+        # async def _(app: CQHTTP, source: Notify):
+        #     print(source)
+        #     if source.sub_type == "poke" and source.target_id == source.self_id:
+        #         await self.handle_msg(source)
+
+        @gocq_app.receiver("GuildMessage")
+        async def _(app: CQHTTP, source: GuildMessage):
+            if self.cc.get("gocq_react_guild", True):
+                abm = nakuru_message_parse_rev(source)
+                if isinstance(source.message[0], Plain):
+                    await self.handle_msg(abm)
+                elif isinstance(source.message[0], At):
+                    if source.message[0].qq == source.self_tiny_id:
+                        await self.handle_msg(abm)
+                else:
+                    return
+
+    def run(self):
+        self.client.run()
+
+    async def handle_msg(self, message: AstrBotMessage):
+        logger.info(
+            f"{message.sender.nickname}/{message.sender.user_id} -> {self.parse_message_outline(message)}")
+
+        assert isinstance(message.raw_message,
+                          (GroupMessage, FriendMessage, GuildMessage))
+        is_group = message.type != MessageType.FRIEND_MESSAGE
+
+        # 判断是否响应消息
+        resp = False
+        if not is_group:
+            resp = True
+        else:
+            for i in message.message:
+                if isinstance(i, At):
+                    if message.type.value == "GuildMessage":
+                        if str(i.qq) == str(message.raw_message.user_id) or str(i.qq) == str(message.raw_message.self_tiny_id):
+                            resp = True
+                    if message.type.value == "FriendMessage":
+                        if str(i.qq) == str(message.self_id):
+                            resp = True
+                    if message.type.value == "GroupMessage":
+                        if str(i.qq) == str(message.self_id):
+                            resp = True
+                elif isinstance(i, Plain):
+                    for nick in self.nick_qq:
+                        if nick != '' and i.text.strip().startswith(nick):
+                            resp = True
+                            break
+
+        if not resp:
+            return
+
+        # 解析 session_id
+        if self.unique_session or not is_group:
+            session_id = message.raw_message.user_id
+        elif message.type == MessageType.GROUP_MESSAGE:
+            session_id = message.raw_message.group_id
+        elif message.type == MessageType.GUILD_MESSAGE:
+            session_id = message.raw_message.channel_id
+        else:
+            session_id = message.raw_message.user_id
+
+        message.session_id = session_id
+
+        # 解析 role
+        sender_id = str(message.raw_message.user_id)
+        if sender_id == self.cc.get('admin_qq', '') or \
+                sender_id in self.cc.get('other_admins', []):
+            role = 'admin'
+        else:
+            role = 'member'
+
+        message_result = await self.message_handler(
+            message=message,
+            session_id=session_id,
+            role=role,
+            platform='gocq'
+        )
+
+        if message_result is None:
+            return
+        await self.reply_msg(message, message_result.result_message)
+        if message_result.callback is not None:
+            message_result.callback()
+
+        # 如果是等待回复的消息
+        if session_id in self.waiting and self.waiting[session_id] == '':
+            self.waiting[session_id] = message
+
+    async def reply_msg(self,
+                        message: Union[AstrBotMessage, GuildMessage, GroupMessage, FriendMessage],
+                        result_message: list):
+        """
+        插件开发者请使用send方法, 可以不用直接调用这个方法。
+        """
+        if isinstance(message, AstrBotMessage):
+            source = message.raw_message
+        else:
+            source = message
+
+        res = result_message
+
+        logger.info(
+            f"{source.user_id} <- {self.parse_message_outline(res)}")
+
+        if isinstance(source, int):
+            source = FakeSource("GroupMessage", source)
+
+        # str convert to CQ Message Chain
+        if isinstance(res, str):
+            res_str = res
+            res = []
+            if source.type == "GroupMessage" and not isinstance(source, FakeSource):
+                res.append(At(qq=source.user_id))
+            res.append(Plain(text=res_str))
+
+        # if image mode, put all Plain texts into a new picture.
+        if self.pic_mode and isinstance(res, list):
+            plains = []
+            news = []
+            for i in res:
+                if isinstance(i, Plain):
+                    plains.append(i.text)
+                else:
+                    news.append(i)
+            plains_str = "".join(plains).strip()
+            if plains_str != "" and len(plains_str) > 50:
+                p = gu.create_markdown_image("".join(plains))
+                news.append(Image.fromFileSystem(p))
+                res = news
+
+        # 回复消息链
+        if isinstance(res, list) and len(res) > 0:
+            if source.type == "GuildMessage":
+                await self.client.sendGuildChannelMessage(source.guild_id, source.channel_id, res)
+                return
+            elif source.type == "FriendMessage":
+                await self.client.sendFriendMessage(source.user_id, res)
+                return
+            elif source.type == "GroupMessage":
+                # 过长时forward发送
+                plain_text_len = 0
+                image_num = 0
+                for i in res:
+                    if isinstance(i, Plain):
+                        plain_text_len += len(i.text)
+                    elif isinstance(i, Image):
+                        image_num += 1
+                if plain_text_len > self.cc.get('qq_forward_threshold', 200):
+                    # 删除At
+                    for i in res:
+                        if isinstance(i, At):
+                            res.remove(i)
+                    node = Node(res)
+                    # node.content = res
+                    node.uin = 123456
+                    node.name = f"bot"
+                    node.time = int(time.time())
+                    # print(node)
+                    nodes = [node]
+                    await self.client.sendGroupForwardMessage(source.group_id, nodes)
+                    return
+                await self.client.sendGroupMessage(source.group_id, res)
+                return
+
+    async def send_msg(self, message: Union[GroupMessage, FriendMessage, GuildMessage, AstrBotMessage], result_message: list):
+        '''
+        提供给插件的发送QQ消息接口。
+        参数说明：第一个参数可以是消息对象，也可以是QQ群号。第二个参数是消息内容（消息内容可以是消息链列表，也可以是纯文字信息）。
+        '''
+        try:
+            await self.reply_msg(message, result_message)
+        except BaseException as e:
+            raise e
+
+    async def send(self,
+                   to,
+                   res):
+        '''
+        同 send_msg()
+        '''
+        await self.reply_msg(to, res)
+
+    def create_text_image(title: str, text: str, max_width=30, font_size=20):
+        '''
+        文本转图片。
+        title: 标题
+        text: 文本内容
+        max_width: 文本宽度最大值（默认30）
+        font_size: 字体大小（默认20）
+
+        返回：文件路径
+        '''
+        try:
+            img = gu.word2img(title, text, max_width, font_size)
+            p = gu.save_temp_img(img)
+            return p
+        except Exception as e:
+            raise e
+
+    def wait_for_message(self, group_id) -> Union[GroupMessage, FriendMessage, GuildMessage]:
+        '''
+        等待下一条消息，超时 300s 后抛出异常
+        '''
+        self.waiting[group_id] = ''
+        cnt = 0
+        while True:
+            if group_id in self.waiting and self.waiting[group_id] != '':
+                # 去掉
+                ret = self.waiting[group_id]
+                del self.waiting[group_id]
+                return ret
+            cnt += 1
+            if cnt > 300:
+                raise Exception("等待消息超时。")
+            time.sleep(1)
+
+    def get_client(self):
+        return self.client
+
+    async def nakuru_method_invoker(self, func, *args, **kwargs):
+        """
+        返回一个方法调用器，可以用来立即调用nakuru的方法。
+        """
+        try:
+            ret = func(*args, **kwargs)
+            return ret
+        except BaseException as e:
+            raise e

model/platform/qq_official.py

@@ -0,0 +1,306 @@
+import io
+import botpy
+from PIL import Image as PILImage
+import botpy.message
+import re
+import asyncio
+import aiohttp
+from util import general_utils as gu
+
+from botpy.types.message import Reference
+from botpy import Client
+import time
+from ._platfrom import Platform
+from ._message_parse import (
+    qq_official_message_parse_rev,
+    qq_official_message_parse
+)
+from cores.astrbot.types import MessageType, AstrBotMessage, MessageMember
+from typing import Union, List
+from nakuru.entities.components import BaseMessageComponent
+from SparkleLogging.utils.core import LogManager
+from logging import Logger
+
+logger: Logger = LogManager.GetLogger(log_name='astrbot-core')
+
+# QQ 机器人官方框架
+class botClient(Client):
+    def set_platform(self, platform: 'QQOfficial'):
+        self.platform = platform
+
+    async def on_group_at_message_create(self, message: botpy.message.GroupMessage):
+        abm = qq_official_message_parse_rev(message, MessageType.GROUP_MESSAGE)
+        await self.platform.handle_msg(abm)
+
+    # 收到频道消息
+    async def on_at_message_create(self, message: botpy.message.Message):
+        # 转换层
+        abm = qq_official_message_parse_rev(message, MessageType.GUILD_MESSAGE)
+        await self.platform.handle_msg(abm)
+
+    # 收到私聊消息
+    async def on_direct_message_create(self, message: botpy.message.DirectMessage):
+        # 转换层
+        abm = qq_official_message_parse_rev(
+            message, MessageType.FRIEND_MESSAGE)
+        await self.platform.handle_msg(abm)
+
+
+class QQOfficial(Platform):
+
+    def __init__(self, cfg: dict, message_handler: callable, global_object) -> None:
+        super().__init__(message_handler)
+
+        self.loop = asyncio.new_event_loop()
+        asyncio.set_event_loop(self.loop)
+
+        self.waiting: dict = {}
+
+        self.cfg = cfg
+        self.appid = cfg['qqbot']['appid']
+        self.token = cfg['qqbot']['token']
+        self.secret = cfg['qqbot_secret']
+        self.unique_session = cfg['uniqueSessionMode']
+        qq_group = cfg['qqofficial_enable_group_message']
+
+        if qq_group:
+            self.intents = botpy.Intents(
+                public_messages=True,
+                public_guild_messages=True,
+                direct_message=cfg['direct_message_mode']
+            )
+        else:
+            self.intents = botpy.Intents(
+                public_guild_messages=True,
+                direct_message=cfg['direct_message_mode']
+            )
+        self.client = botClient(
+            intents=self.intents,
+            bot_log=False
+        )
+
+        self.client.set_platform(self)
+
+    def run(self):
+        try:
+            self.loop.run_until_complete(self.client.run(
+                appid=self.appid,
+                secret=self.secret
+            ))
+        except BaseException as e:
+            print(e)
+            self.client = botClient(
+                intents=self.intents,
+                bot_log=False
+            )
+            self.client.set_platform(self)
+            self.client.run(
+                appid=self.appid,
+                token=self.token
+            )
+
+    async def handle_msg(self, message: AstrBotMessage):
+        assert isinstance(message.raw_message, (botpy.message.Message,
+                          botpy.message.GroupMessage, botpy.message.DirectMessage))
+        is_group = message.type != MessageType.FRIEND_MESSAGE
+
+        _t = "/私聊" if not is_group else ""
+        logger.info(
+            f"{message.sender.nickname}({message.sender.user_id}{_t}) -> {self.parse_message_outline(message)}")
+
+        # 解析出 session_id
+        if self.unique_session or not is_group:
+            session_id = message.sender.user_id
+        else:
+            if message.type == MessageType.GUILD_MESSAGE:
+                session_id = message.raw_message.channel_id
+            elif message.type == MessageType.GROUP_MESSAGE:
+                session_id = str(message.raw_message.group_openid)
+            else:
+                session_id = str(message.raw_message.author.id)
+        message.session_id = session_id
+
+        # 解析出 role
+        sender_id = message.sender.user_id
+        if sender_id == self.cfg['admin_qqchan'] or \
+                sender_id in self.cfg['other_admins']:
+            role = 'admin'
+        else:
+            role = 'member'
+
+        message_result = await self.message_handler(
+            message=message,
+            session_id=session_id,
+            role=role,
+            platform='qqchan'
+        )
+
+        if message_result is None:
+            return
+
+        await self.reply_msg(message, message_result.result_message)
+        if message_result.callback is not None:
+            message_result.callback()
+
+        # 如果是等待回复的消息
+        if session_id in self.waiting and self.waiting[session_id] == '':
+            self.waiting[session_id] = message
+
+    async def reply_msg(self,
+                        message: Union[botpy.message.Message, botpy.message.GroupMessage, botpy.message.DirectMessage, AstrBotMessage],
+                        res: Union[str, list]):
+        '''
+        回复频道消息
+        '''
+        if isinstance(message, AstrBotMessage):
+            source = message.raw_message
+        else:
+            source = message
+        assert isinstance(source, (botpy.message.Message,
+                          botpy.message.GroupMessage, botpy.message.DirectMessage))
+        logger.info(
+            f"{message.sender.nickname}({message.sender.user_id}) <- {self.parse_message_outline(res)}")
+
+        plain_text = ''
+        image_path = ''
+        msg_ref = None
+
+        if isinstance(res, list):
+            plain_text, image_path = qq_official_message_parse(res)
+        elif isinstance(res, str):
+            plain_text = res
+
+        if self.cfg['qq_pic_mode']:
+            # 文本转图片，并且加上原来的图片
+            if plain_text != '' or image_path != '':
+                if image_path is not None and image_path != '':
+                    if image_path.startswith("http"):
+                        plain_text += "\n\n" + "![](" + image_path + ")"
+                    else:
+                        plain_text += "\n\n" + \
+                            "![](file:///" + image_path + ")"
+                image_path = gu.create_markdown_image("".join(plain_text))
+                plain_text = ""
+
+        else:
+            if image_path is not None and image_path != '':
+                msg_ref = None
+                if image_path.startswith("http"):
+                    async with aiohttp.ClientSession() as session:
+                        async with session.get(image_path) as response:
+                            if response.status == 200:
+                                image = PILImage.open(io.BytesIO(await response.read()))
+                                image_path = gu.save_temp_img(image)
+
+        if source is not None and image_path == '':  # file_image与message_reference不能同时传入
+            msg_ref = Reference(message_id=source.id,
+                                ignore_get_message_error=False)
+
+        # 到这里，我们得到了 plain_text，image_path，msg_ref
+        data = {
+            'content': plain_text,
+            'msg_id': message.message_id,
+            'message_reference': msg_ref
+        }
+        if message.type == MessageType.GROUP_MESSAGE:
+            data['group_openid'] = str(source.group_openid)
+        elif message.type == MessageType.GUILD_MESSAGE:
+            data['channel_id'] = source.channel_id
+        elif message.type == MessageType.FRIEND_MESSAGE:
+            # 目前只处理频道私聊
+            data['guild_id'] = source.guild_id
+        else:
+            raise ValueError(f"未知的消息类型: {message.type}")
+        if image_path != '':
+            data['file_image'] = image_path
+
+        try:
+            await self._send_wrapper(**data)
+        except BaseException as e:
+            print(e)
+            # 分割过长的消息
+            if "msg over length" in str(e):
+                split_res = []
+                split_res.append(plain_text[:len(plain_text)//2])
+                split_res.append(plain_text[len(plain_text)//2:])
+                for i in split_res:
+                    data['content'] = i
+                    await self._send_wrapper(**data)
+            else:
+                # 发送qq信息
+                try:
+                    # 防止被qq频道过滤消息
+                    plain_text = plain_text.replace(".", " . ")
+                    await self._send_wrapper(**data)
+
+                except BaseException as e:
+                    try:
+                        data['content'] = str.join(" ", plain_text)
+                        await self._send_wrapper(**data)
+                    except BaseException as e:
+                        plain_text = re.sub(
+                            r'(https|http)?:\/\/(\w|\.|\/|\?|\=|\&|\%)*\b', '[被隐藏的链接]', str(e), flags=re.MULTILINE)
+                        plain_text = plain_text.replace(".", "·")
+                        data['content'] = plain_text
+                        await self._send_wrapper(**data)
+
+    async def _send_wrapper(self, **kwargs):
+        if 'group_openid' in kwargs:
+            # QQ群组消息
+            media = None
+            # qq群组消息需要自行上传，暂时不处理
+            # if 'file_image' in kwargs:
+            #     file_image_path = kwargs['file_image']
+            #     if file_image_path != "":
+            #         media = await self.upload_img(file_image_path, kwargs['group_openid'])
+            #         del kwargs['file_image']
+            #     if media is not None:
+            #         kwargs['msg_type'] = 7 # 富媒体
+            await self.client.api.post_group_message(media=media, **kwargs)
+        elif 'channel_id' in kwargs:
+            # 频道消息
+            if 'file_image' in kwargs:
+                kwargs['file_image'] = kwargs['file_image'].replace(
+                    "file://", "")
+            await self.client.api.post_message(**kwargs)
+        else:
+            # 频道私聊消息
+            if 'file_image' in kwargs:
+                kwargs['file_image'] = kwargs['file_image'].replace(
+                    "file://", "")
+            await self.client.api.post_dms(**kwargs)
+
+    async def send_msg(self,
+                       message_obj: Union[botpy.message.Message, botpy.message.GroupMessage, botpy.message.DirectMessage, AstrBotMessage],
+                       message_chain: List[BaseMessageComponent],
+                       ):
+        '''
+        发送消息。目前只支持被动回复消息（即拥有一个 botpy Message 类型的 message_obj 传入）
+        '''
+        await self.reply_msg(message_obj, message_chain)
+
+    async def send(self,
+                   message_obj: Union[botpy.message.Message, botpy.message.GroupMessage, botpy.message.DirectMessage, AstrBotMessage],
+                   message_chain: List[BaseMessageComponent],
+                   ):
+        '''
+        发送消息。目前只支持被动回复消息（即拥有一个 botpy Message 类型的 message_obj 传入）
+        '''
+        await self.reply_msg(message_obj, message_chain)
+
+    def wait_for_message(self, channel_id: int) -> AstrBotMessage:
+        '''
+        等待指定 channel_id 的下一条信息，超时 300s 后抛出异常
+        '''
+        self.waiting[channel_id] = ''
+        cnt = 0
+        while True:
+            if channel_id in self.waiting and self.waiting[channel_id] != '':
+                # 去掉
+                ret = self.waiting[channel_id]
+                del self.waiting[channel_id]
+                return ret
+            cnt += 1
+            if cnt > 300:
+                raise Exception("等待消息超时。")
+            time.sleep(1)()

model/provider/openai_official.py

@@ -0,0 +1,415 @@
+import os
+import sys
+import json
+import time
+import tiktoken
+import threading
+import traceback
+
+from openai import AsyncOpenAI
+from openai.types.images_response import ImagesResponse
+from openai.types.chat.chat_completion import ChatCompletion
+
+from cores.database.conn import dbConn
+from model.provider.provider import Provider
+from util import general_utils as gu
+from util.cmd_config import CmdConfig
+from SparkleLogging.utils.core import LogManager
+from logging import Logger
+
+logger: Logger = LogManager.GetLogger(log_name='astrbot-core')
+
+
+abs_path = os.path.dirname(os.path.realpath(sys.argv[0])) + '/'
+
+
+class ProviderOpenAIOfficial(Provider):
+    def __init__(self, cfg):
+        self.cc = CmdConfig()
+
+        self.key_list = []
+        # 如果 cfg['key'] 中有长度为 1 的字符串，那么是格式错误，直接报错
+        for key in cfg['key']:
+            if len(key) == 1:
+                raise BaseException(
+                    "检查到了长度为 1 的Key。配置文件中的 openai.key 处的格式错误 (符号 - 的后面要加空格)。")
+        if cfg['key'] != '' and cfg['key'] != None:
+            self.key_list = cfg['key']
+        if len(self.key_list) == 0:
+            raise Exception("您打开了 OpenAI 模型服务，但是未填写 key。请前往填写。")
+
+        self.key_stat = {}
+        for k in self.key_list:
+            self.key_stat[k] = {'exceed': False, 'used': 0}
+
+        self.api_base = None
+        if 'api_base' in cfg and cfg['api_base'] != 'none' and cfg['api_base'] != '':
+            self.api_base = cfg['api_base']
+            logger.info(f"设置 api_base 为: {self.api_base}")
+
+        # 创建 OpenAI Client
+        self.client = AsyncOpenAI(
+            api_key=self.key_list[0],
+            base_url=self.api_base
+        )
+
+        self.openai_model_configs: dict = cfg['chatGPTConfigs']
+        self.openai_configs = cfg
+        # 会话缓存
+        self.session_dict = {}
+        # 最大缓存token
+        self.max_tokens = cfg['total_tokens_limit']
+        # 历史记录持久化间隔时间
+        self.history_dump_interval = 20
+
+        self.enc = tiktoken.get_encoding("cl100k_base")
+
+        # 从 SQLite DB 读取历史记录
+        try:
+            db1 = dbConn()
+            for session in db1.get_all_session():
+                self.session_dict[session[0]] = json.loads(session[1])['data']
+            logger.info("读取历史记录成功。")
+        except BaseException as e:
+            logger.info("读取历史记录失败，但不影响使用。")
+
+        # 创建转储定时器线程
+        threading.Thread(target=self.dump_history, daemon=True).start()
+
+        # 人格
+        self.curr_personality = {}
+
+    # 转储历史记录
+    def dump_history(self):
+        time.sleep(10)
+        db = dbConn()
+        while True:
+            try:
+                # print("转储历史记录...")
+                for key in self.session_dict:
+                    data = self.session_dict[key]
+                    data_json = {
+                        'data': data
+                    }
+                    if db.check_session(key):
+                        db.update_session(key, json.dumps(data_json))
+                    else:
+                        db.insert_session(key, json.dumps(data_json))
+                # print("转储历史记录完毕")
+            except BaseException as e:
+                print(e)
+            # 每隔10分钟转储一次
+            time.sleep(10*self.history_dump_interval)
+
+    def personality_set(self, default_personality: dict, session_id: str):
+        self.curr_personality = default_personality
+        new_record = {
+            "user": {
+                "role": "user",
+                "content": default_personality['prompt'],
+            },
+            "AI": {
+                "role": "assistant",
+                "content": "好的，接下来我会扮演这个角色。"
+            },
+            'type': "personality",
+            'usage_tokens': 0,
+            'single-tokens': 0
+        }
+        self.session_dict[session_id].append(new_record)
+
+    async def text_chat(self, prompt,
+                        session_id=None,
+                        image_url=None,
+                        function_call=None,
+                        extra_conf: dict = None,
+                        default_personality: dict = None):
+        if session_id is None:
+            session_id = "unknown"
+            if "unknown" in self.session_dict:
+                del self.session_dict["unknown"]
+        # 会话机制
+        if session_id not in self.session_dict:
+            self.session_dict[session_id] = []
+
+        if len(self.session_dict[session_id]) == 0:
+            # 设置默认人格
+            if default_personality is not None:
+                self.personality_set(default_personality, session_id)
+
+        # 使用 tictoken 截断消息
+        _encoded_prompt = self.enc.encode(prompt)
+        if self.openai_model_configs['max_tokens'] < len(_encoded_prompt):
+            prompt = self.enc.decode(_encoded_prompt[:int(
+                self.openai_model_configs['max_tokens']*0.80)])
+            logger.info(f"注意，有一部分 prompt 文本由于超出 token 限制而被截断。")
+
+        cache_data_list, new_record, req = self.wrap(
+            prompt, session_id, image_url)
+        logger.debug(f"cache: {str(cache_data_list)}")
+        logger.debug(f"request: {str(req)}")
+        retry = 0
+        response = None
+        err = ''
+
+        # 截断倍率
+        truncate_rate = 0.75
+
+        use_gpt4v = False
+        for i in req:
+            if isinstance(i['content'], list):
+                use_gpt4v = True
+                break
+        if image_url is not None:
+            use_gpt4v = True
+        if use_gpt4v:
+            conf = self.openai_model_configs.copy()
+            conf['model'] = 'gpt-4-vision-preview'
+        else:
+            conf = self.openai_model_configs
+
+        if extra_conf is not None:
+            conf.update(extra_conf)
+
+        while retry < 10:
+            try:
+                if function_call is None:
+                    response = await self.client.chat.completions.create(
+                        messages=req,
+                        **conf
+                    )
+                else:
+                    response = await self.client.chat.completions.create(
+                        messages=req,
+                        tools=function_call,
+                        **conf
+                    )
+                break
+            except Exception as e:
+                traceback.print_exc()
+                if 'Invalid content type. image_url is only supported by certain models.' in str(e):
+                    raise e
+                if 'You exceeded' in str(e) or 'Billing hard limit has been reached' in str(e) or 'No API key provided' in str(e) or 'Incorrect API key provided' in str(e):
+                    logger.info("当前 Key 已超额或异常, 正在切换",
+                                    )
+                    self.key_stat[self.client.api_key]['exceed'] = True
+                    is_switched = self.handle_switch_key()
+                    if not is_switched:
+                        raise e
+                    retry -= 1
+                elif 'maximum context length' in str(e):
+                    logger.info("token 超限, 清空对应缓存，并进行消息截断")
+                    self.session_dict[session_id] = []
+                    prompt = prompt[:int(len(prompt)*truncate_rate)]
+                    truncate_rate -= 0.05
+                    cache_data_list, new_record, req = self.wrap(
+                        prompt, session_id)
+
+                elif 'Limit: 3 / min. Please try again in 20s.' in str(e) or "OpenAI response error" in str(e):
+                    time.sleep(30)
+                    continue
+                else:
+                    logger.error(str(e))
+                time.sleep(2)
+                err = str(e)
+                retry += 1
+        if retry >= 10:
+            logger.warning(
+                r"如果报错, 且您的机器在中国大陆内, 请确保您的电脑已经设置好代理软件(梯子), 并在配置文件设置了系统代理地址。详见 https://github.com/Soulter/QQChannelChatGPT/wiki")
+            raise BaseException("连接出错: "+str(err))
+        assert isinstance(response, ChatCompletion)
+        logger.debug(
+            f"OPENAI RESPONSE: {response.usage}")
+
+        # 结果分类
+        choice = response.choices[0]
+        if choice.message.content != None:
+            # 文本形式
+            chatgpt_res = str(choice.message.content).strip()
+        elif choice.message.tool_calls != None and len(choice.message.tool_calls) > 0:
+            # tools call (function calling)
+            return choice.message.tool_calls[0].function
+
+        self.key_stat[self.client.api_key]['used'] += response.usage.total_tokens
+        current_usage_tokens = response.usage.total_tokens
+
+        # 超过指定tokens， 尽可能的保留最多的条目，直到小于max_tokens
+        if current_usage_tokens > self.max_tokens:
+            t = current_usage_tokens
+            index = 0
+            while t > self.max_tokens:
+                if index >= len(cache_data_list):
+                    break
+                # 保留人格信息
+                if cache_data_list[index]['type'] != 'personality':
+                    t -= int(cache_data_list[index]['single_tokens'])
+                    del cache_data_list[index]
+                else:
+                    index += 1
+            # 删除完后更新相关字段
+            self.session_dict[session_id] = cache_data_list
+
+        # 添加新条目进入缓存的prompt
+        new_record['AI'] = {
+            'role': 'assistant',
+            'content': chatgpt_res,
+        }
+        new_record['usage_tokens'] = current_usage_tokens
+        if len(cache_data_list) > 0:
+            new_record['single_tokens'] = current_usage_tokens - \
+                int(cache_data_list[-1]['usage_tokens'])
+        else:
+            new_record['single_tokens'] = current_usage_tokens
+
+        cache_data_list.append(new_record)
+
+        self.session_dict[session_id] = cache_data_list
+
+        return chatgpt_res
+
+    async def image_chat(self, prompt, img_num=1, img_size="1024x1024"):
+        retry = 0
+        image_url = ''
+
+        image_generate_configs = self.cc.get("openai_image_generate", None)
+
+        while retry < 5:
+            try:
+                response: ImagesResponse = await self.client.images.generate(
+                    prompt=prompt,
+                    **image_generate_configs
+                )
+                image_url = []
+                for i in range(img_num):
+                    image_url.append(response.data[i].url)
+                break
+            except Exception as e:
+                logger.warning(str(e))
+                if 'You exceeded' in str(e) or 'Billing hard limit has been reached' in str(
+                        e) or 'No API key provided' in str(e) or 'Incorrect API key provided' in str(e):
+                    logger.warning("当前 Key 已超额或者不正常, 正在切换")
+                    self.key_stat[self.client.api_key]['exceed'] = True
+                    is_switched = self.handle_switch_key()
+                    if not is_switched:
+                        raise e
+                elif 'Your request was rejected as a result of our safety system.' in str(e):
+                    logger.warning("您的请求被 OpenAI 安全系统拒绝, 请稍后再试")
+                    raise e
+                else:
+                    retry += 1
+        if retry >= 5:
+            raise BaseException("连接超时")
+
+        return image_url
+
+    async def forget(self, session_id=None) -> bool:
+        if session_id is None:
+            return False
+        self.session_dict[session_id] = []
+        return True
+
+    def get_prompts_by_cache_list(self, cache_data_list, divide=False, paging=False, size=5, page=1):
+        '''
+        获取缓存的会话
+        '''
+        prompts = ""
+        if paging:
+            page_begin = (page-1)*size
+            page_end = page*size
+            if page_begin < 0:
+                page_begin = 0
+            if page_end > len(cache_data_list):
+                page_end = len(cache_data_list)
+            cache_data_list = cache_data_list[page_begin:page_end]
+        for item in cache_data_list:
+            prompts += str(item['user']['role']) + ":\n" + \
+                str(item['user']['content']) + "\n"
+            prompts += str(item['AI']['role']) + ":\n" + \
+                str(item['AI']['content']) + "\n"
+
+            if divide:
+                prompts += "----------\n"
+        return prompts
+
+    def wrap(self, prompt, session_id, image_url=None):
+        if image_url is not None:
+            prompt = [
+                {
+                    "type": "text",
+                    "text": prompt
+                },
+                {
+                    "type": "image_url",
+                    "image_url": {
+                        "url": image_url
+                    }
+                }
+            ]
+        # 获得缓存信息
+        context = self.session_dict[session_id]
+        new_record = {
+            "user": {
+                "role": "user",
+                "content": prompt,
+            },
+            "AI": {},
+            'type': "common",
+            'usage_tokens': 0,
+        }
+        req_list = []
+        for i in context:
+            if 'user' in i:
+                req_list.append(i['user'])
+            if 'AI' in i:
+                req_list.append(i['AI'])
+        req_list.append(new_record['user'])
+        return context, new_record, req_list
+
+    def handle_switch_key(self):
+        is_all_exceed = True
+        for key in self.key_stat:
+            if key == None or self.key_stat[key]['exceed']:
+                continue
+            is_all_exceed = False
+            self.client.api_key = key
+            logger.warning(
+                f"切换到 Key: {key}(已使用 token: {self.key_stat[key]['used']})")
+            break
+        if is_all_exceed:
+            logger.warning(
+                "所有 Key 已超额")
+            return False
+        return True
+
+    def get_configs(self):
+        return self.openai_configs
+
+    def get_key_stat(self):
+        return self.key_stat
+
+    def get_key_list(self):
+        return self.key_list
+
+    def get_curr_key(self):
+        return self.client.api_key
+
+    def set_key(self, key):
+        self.client.api_key = key
+
+    # 添加key
+    def append_key(self, key, sponsor):
+        self.key_list.append(key)
+        self.key_stat[key] = {'exceed': False, 'used': 0, 'sponsor': sponsor}
+
+    # 检查key是否可用
+    async def check_key(self, key):
+        client_ = AsyncOpenAI(
+            api_key=key,
+            base_url=self.api_base
+        )
+        messages = [{"role": "user", "content": "please just echo `test`"}]
+        await client_.chat.completions.create(
+            messages=messages,
+            **self.openai_model_configs
+        )
+        return True

model/provider/provider.py

@@ -0,0 +1,35 @@
+class Provider:
+    async def text_chat(self,
+                        prompt: str,
+                        session_id: str,
+                        image_url: None,
+                        function_call: None,
+                        extra_conf: dict = None,
+                        default_personality: dict = None,
+                        **kwargs) -> str:
+        '''
+        [require]
+        prompt: 提示词
+        session_id: 会话id
+
+        [optional]
+        image_url: 图片url（识图）
+        function_call: 函数调用
+        extra_conf: 额外配置
+        default_personality: 默认人格
+        '''
+        raise NotImplementedError
+
+    async def image_generate(self, prompt, session_id, **kwargs) -> str:
+        '''
+        [require]
+        prompt: 提示词
+        session_id: 会话id
+        '''
+        raise NotImplementedError
+
+    async def forget(self, session_id=None) -> bool:
+        '''
+        重置会话
+        '''
+        raise NotImplementedError

requirements.txt

@@ -0,0 +1,19 @@
+pydantic~=1.10.4
+aiohttp
+requests
+openai~=1.2.3
+qq-botpy
+chardet~=5.1.0
+Pillow
+GitPython
+nakuru-project
+beautifulsoup4
+googlesearch-python
+tiktoken
+readability-lxml
+baidu-aip
+websockets
+flask
+psutil
+lxml_html_clean
+SparkleLogging

util/cmd_config.py

@@ -0,0 +1,121 @@
+import os
+import json
+from typing import Union
+
+cpath = "cmd_config.json"
+
+
+def check_exist():
+    if not os.path.exists(cpath):
+        with open(cpath, "w", encoding="utf-8-sig") as f:
+            json.dump({}, f, indent=4, ensure_ascii=False)
+            f.flush()
+
+
+class CmdConfig():
+
+    @staticmethod
+    def get(key, default=None):
+        check_exist()
+        with open(cpath, "r", encoding="utf-8-sig") as f:
+            d = json.load(f)
+            if key in d:
+                return d[key]
+            else:
+                return default
+
+    @staticmethod
+    def get_all():
+        check_exist()
+        with open(cpath, "r", encoding="utf-8-sig") as f:
+            return json.load(f)
+
+    @staticmethod
+    def put(key, value):
+        check_exist()
+        with open(cpath, "r", encoding="utf-8-sig") as f:
+            d = json.load(f)
+            d[key] = value
+            with open(cpath, "w", encoding="utf-8-sig") as f:
+                json.dump(d, f, indent=4, ensure_ascii=False)
+                f.flush()
+
+    @staticmethod
+    def put_by_dot_str(key: str, value):
+        '''
+        根据点分割的字符串，将值写入配置文件
+        '''
+        check_exist()
+        with open(cpath, "r", encoding="utf-8-sig") as f:
+            d = json.load(f)
+            _d = d
+            _ks = key.split(".")
+            for i in range(len(_ks)):
+                if i == len(_ks) - 1:
+                    _d[_ks[i]] = value
+                else:
+                    _d = _d[_ks[i]]
+            with open(cpath, "w", encoding="utf-8-sig") as f:
+                json.dump(d, f, indent=4, ensure_ascii=False)
+                f.flush()
+
+    @staticmethod
+    def init_attributes(key: Union[str, list], init_val=""):
+        check_exist()
+        conf_str = ''
+        with open(cpath, "r", encoding="utf-8-sig") as f:
+            conf_str = f.read()
+        if conf_str.startswith(u'/ufeff'):
+            conf_str = conf_str.encode('utf8')[3:].decode('utf8')
+        d = json.loads(conf_str)
+        _tag = False
+
+        if isinstance(key, str):
+            if key not in d:
+                d[key] = init_val
+                _tag = True
+        elif isinstance(key, list):
+            for k in key:
+                if k not in d:
+                    d[k] = init_val
+                    _tag = True
+        if _tag:
+            with open(cpath, "w", encoding="utf-8-sig") as f:
+                json.dump(d, f, indent=4, ensure_ascii=False)
+                f.flush()
+
+
+def init_astrbot_config_items():
+    # 加载默认配置
+    cc = CmdConfig()
+    cc.init_attributes("qq_forward_threshold", 200)
+    cc.init_attributes(
+        "qq_welcome", "欢迎加入本群！\n欢迎给https://github.com/Soulter/QQChannelChatGPT项目一个Star😊~\n输入help查看帮助~\n")
+    cc.init_attributes("qq_pic_mode", False)
+    cc.init_attributes("gocq_host", "127.0.0.1")
+    cc.init_attributes("gocq_http_port", 5700)
+    cc.init_attributes("gocq_websocket_port", 6700)
+    cc.init_attributes("gocq_react_group", True)
+    cc.init_attributes("gocq_react_guild", True)
+    cc.init_attributes("gocq_react_friend", True)
+    cc.init_attributes("gocq_react_group_increase", True)
+    cc.init_attributes("other_admins", [])
+    cc.init_attributes("CHATGPT_BASE_URL", "")
+    cc.init_attributes("qqbot_secret", "")
+    cc.init_attributes("qqofficial_enable_group_message", False)
+    cc.init_attributes("admin_qq", "")
+    cc.init_attributes("nick_qq", ["!", "！", "ai"])
+    cc.init_attributes("admin_qqchan", "")
+    cc.init_attributes("llm_env_prompt", "")
+    cc.init_attributes("llm_wake_prefix", "")
+    cc.init_attributes("default_personality_str", "")
+    cc.init_attributes("openai_image_generate", {
+        "model": "dall-e-3",
+        "size": "1024x1024",
+        "style": "vivid",
+        "quality": "standard",
+    })
+    cc.init_attributes("http_proxy", "")
+    cc.init_attributes("https_proxy", "")
+    cc.init_attributes("dashboard_username", "")
+    cc.init_attributes("dashboard_password", "")

util/errors/errors.py

@@ -1,3 +0,0 @@
-class PromptExceededError(Exception):
-    
-    pass

util/function_calling/func_call.py

@@ -0,0 +1,247 @@
+
+import json
+import util.general_utils as gu
+
+import time
+
+
+class FuncCallJsonFormatError(Exception):
+    def __init__(self, msg):
+        self.msg = msg
+
+    def __str__(self):
+        return self.msg
+
+
+class FuncNotFoundError(Exception):
+    def __init__(self, msg):
+        self.msg = msg
+
+    def __str__(self):
+        return self.msg
+
+
+class FuncCall():
+    def __init__(self, provider) -> None:
+        self.func_list = []
+        self.provider = provider
+
+    def add_func(self, name: str = None, func_args: list = None, desc: str = None, func_obj=None) -> None:
+        if name == None or func_args == None or desc == None or func_obj == None:
+            raise FuncCallJsonFormatError(
+                "name, func_args, desc must be provided.")
+        params = {
+            "type": "object",  # hardcore here
+            "properties": {}
+        }
+        for param in func_args:
+            params['properties'][param['name']] = {
+                "type": param['type'],
+                "description": param['description']
+            }
+        self._func = {
+            "name": name,
+            "parameters": params,
+            "description": desc,
+            "func_obj": func_obj,
+        }
+        self.func_list.append(self._func)
+
+    def func_dump(self, intent: int = 2) -> str:
+        _l = []
+        for f in self.func_list:
+            _l.append({
+                "name": f["name"],
+                "parameters": f["parameters"],
+                "description": f["description"],
+            })
+        return json.dumps(_l, indent=intent, ensur_ascii=False)
+
+    def get_func(self) -> list:
+        _l = []
+        for f in self.func_list:
+            _l.append({
+                "type": "function",
+                "function": {
+                    "name": f["name"],
+                    "parameters": f["parameters"],
+                    "description": f["description"],
+                }
+            })
+        return _l
+
+    def func_call(self, question, func_definition, is_task=False, tasks=None, taskindex=-1, is_summary=True, session_id=None):
+
+        funccall_prompt = """
+我正实现function call功能，该功能旨在让你变成给定的问题到给定的函数的解析器（意味着你不是创造函数）。
+下面会给你提供可能用到的函数相关信息和一个问题，你需要将其转换成给定的函数调用。
+- 你的返回信息只含json，请严格仿照以下内容（不含注释），必须含有`res`,`func_call`字段:
+```
+{
+    "res": string // 如果没有找到对应的函数，那么你可以在这里正常输出内容。如果有，这里是空字符串。
+    "func_call": [ // 这是一个数组，里面包含了所有的函数调用，如果没有函数调用，那么这个数组是空数组。
+        {
+            "res": string // 如果没有找到对应的函数，那么你可以在这里正常输出内容。如果有，这里是空字符串。
+            "name": str, // 函数的名字
+            "args_type": {
+                "arg1": str, // 函数的参数的类型
+                "arg2": str,
+                ...
+            },
+            "args": {
+                "arg1": any, // 函数的参数
+                "arg2": any,
+                ...
+            }
+        },
+        ... // 可能在这个问题中会有多个函数调用
+    ],
+}
+```
+- 如果用户的要求较复杂，允许返回多个函数调用，但需保证这些函数调用的顺序正确。
+- 当问题没有提到给定的函数时，相当于提问方不打算使用function call功能，这时你可以在res中正常输出这个问题的回答（以AI的身份正常回答该问题，并将答案输出在res字段中，回答不要涉及到任何函数调用的内容，就只是正常讨论这个问题。）
+
+提供的函数是：
+
+"""
+
+        prompt = f"{funccall_prompt}\n```\n{func_definition}\n```\n"
+        prompt += f"""
+用户的提问是：
+```
+{question}
+```
+"""
+
+        # if is_task:
+        #     # task_prompt = f"\n任务列表为{str(tasks)}\n你目前进行到了任务{str(taskindex)}, **你不需要重新进行已经进行过的任务, 不要生成已经进行过的**"
+        #     prompt += task_prompt
+
+        # provider.forget()
+
+        _c = 0
+        while _c < 3:
+            try:
+                res = self.provider.text_chat(prompt, session_id)
+                if res.find('```') != -1:
+                    res = res[res.find('```json') + 7: res.rfind('```')]
+                gu.log("REVGPT func_call json result",
+                       bg=gu.BG_COLORS["green"], fg=gu.FG_COLORS["white"])
+                print(res)
+                res = json.loads(res)
+                break
+            except Exception as e:
+                _c += 1
+                if _c == 3:
+                    raise e
+                if "The message you submitted was too long" in str(e):
+                    raise e
+
+        invoke_func_res = ""
+
+        if "func_call" in res and len(res["func_call"]) > 0:
+            task_list = res["func_call"]
+
+            invoke_func_res_list = []
+
+            for res in task_list:
+                # 说明有函数调用
+                func_name = res["name"]
+                # args_type = res["args_type"]
+                args = res["args"]
+                # 调用函数
+                # func = eval(func_name)
+                func_target = None
+                for func in self.func_list:
+                    if func["name"] == func_name:
+                        func_target = func["func_obj"]
+                        break
+                if func_target == None:
+                    raise FuncNotFoundError(
+                        f"Request function {func_name} not found.")
+                t_res = str(func_target(**args))
+                invoke_func_res += f"{func_name} 调用结果：\n```\n{t_res}\n```\n"
+                invoke_func_res_list.append(invoke_func_res)
+                gu.log(f"[FUNC| {func_name} invoked]",
+                       bg=gu.BG_COLORS["green"], fg=gu.FG_COLORS["white"])
+                # print(str(t_res))
+
+            if is_summary:
+
+                # 生成返回结果
+                after_prompt = """
+有以下内容："""+invoke_func_res+"""
+请以AI助手的身份结合返回的内容对用户提问做详细全面的回答。
+用户的提问是：
+```""" + question + """```
+- 在res字段中，不要输出函数的返回值，也不要针对返回值的字段进行分析，也不要输出用户的提问，而是理解这一段返回的结果，并以AI助手的身份回答问题，只需要输出回答的内容，不需要在回答的前面加上身份词。
+- 你的返回信息必须只能是json，且需严格遵循以下内容（不含注释）:
+```json
+{
+    "res": string, // 回答的内容
+    "func_call_again": bool // 如果函数返回的结果有错误或者问题，可将其设置为true，否则为false
+}
+```
+- 如果func_call_again为true，res请你设为空值，否则请你填写回答的内容。"""
+
+                _c = 0
+                while _c < 5:
+                    try:
+                        res = self.provider.text_chat(after_prompt, session_id)
+                        # 截取```之间的内容
+                        gu.log(
+                            "DEBUG BEGIN", bg=gu.BG_COLORS["yellow"], fg=gu.FG_COLORS["white"])
+                        print(res)
+                        gu.log(
+                            "DEBUG END", bg=gu.BG_COLORS["yellow"], fg=gu.FG_COLORS["white"])
+                        if res.find('```') != -1:
+                            res = res[res.find('```json') +
+                                      7: res.rfind('```')]
+                        gu.log("REVGPT after_func_call json result",
+                               bg=gu.BG_COLORS["green"], fg=gu.FG_COLORS["white"])
+                        after_prompt_res = res
+                        after_prompt_res = json.loads(after_prompt_res)
+                        break
+                    except Exception as e:
+                        _c += 1
+                        if _c == 5:
+                            raise e
+                        if "The message you submitted was too long" in str(e):
+                            # 如果返回的内容太长了，那么就截取一部分
+                            time.sleep(3)
+                            invoke_func_res = invoke_func_res[:int(
+                                len(invoke_func_res) / 2)]
+                            after_prompt = """
+函数返回以下内容："""+invoke_func_res+"""
+请以AI助手的身份结合返回的内容对用户提问做详细全面的回答。
+用户的提问是：
+```""" + question + """```
+- 在res字段中，不要输出函数的返回值，也不要针对返回值的字段进行分析，也不要输出用户的提问，而是理解这一段返回的结果，并以AI助手的身份回答问题，只需要输出回答的内容，不需要在回答的前面加上身份词。
+- 你的返回信息必须只能是json，且需严格遵循以下内容（不含注释）:
+```json
+{
+    "res": string, // 回答的内容
+    "func_call_again": bool // 如果函数返回的结果有错误或者问题，可将其设置为true，否则为false
+}
+```
+- 如果func_call_again为true，res请你设为空值，否则请你填写回答的内容。"""
+                        else:
+                            raise e
+
+                if "func_call_again" in after_prompt_res and after_prompt_res["func_call_again"]:
+                    # 如果需要重新调用函数
+                    # 重新调用函数
+                    gu.log("REVGPT func_call_again",
+                           bg=gu.BG_COLORS["purple"], fg=gu.FG_COLORS["white"])
+                    res = self.func_call(question, func_definition)
+                    return res, True
+
+                gu.log("REVGPT func callback:",
+                       bg=gu.BG_COLORS["green"], fg=gu.FG_COLORS["white"])
+                # print(after_prompt_res["res"])
+                return after_prompt_res["res"], True
+            else:
+                return str(invoke_func_res_list), True
+        else:
+            # print(res["res"])
+            return res["res"], False

util/function_calling/gplugin.py

@@ -0,0 +1,300 @@
+import requests
+import util.general_utils as gu
+import traceback
+import time
+import json
+import asyncio
+from googlesearch import search, SearchResult
+from readability import Document
+from bs4 import BeautifulSoup
+from openai.types.chat.chat_completion_message_tool_call import Function
+from util.function_calling.func_call import (
+    FuncCall,
+    FuncCallJsonFormatError,
+    FuncNotFoundError
+)
+from model.provider.provider import Provider
+
+
+def tidy_text(text: str) -> str:
+    '''
+    清理文本，去除空格、换行符等
+    '''
+    return text.strip().replace("\n", " ").replace("\r", " ").replace("  ", " ")
+
+
+def special_fetch_zhihu(link: str) -> str:
+    '''
+    function-calling 函数, 用于获取知乎文章的内容
+    '''
+    headers = {
+        "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) \
+            AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36"
+    }
+    response = requests.get(link, headers=headers)
+    response.encoding = "utf-8"
+    soup = BeautifulSoup(response.text, "html.parser")
+
+    if "zhuanlan.zhihu.com" in link:
+        r = soup.find(class_="Post-RichTextContainer")
+    else:
+        r = soup.find(class_="List-item").find(class_="RichContent-inner")
+    if r is None:
+        print("debug: zhihu none")
+        raise Exception("zhihu none")
+    return tidy_text(r.text)
+
+
+def google_web_search(keyword) -> str:
+    '''
+    获取 google 搜索结果, 得到 title、desc、link
+    '''
+    ret = ""
+    index = 1
+    try:
+        ls = search(keyword, advanced=True, num_results=4)
+        for i in ls:
+            desc = i.description
+            try:
+                # gu.log(f"搜索网页: {i.url}", tag="网页搜索", level=gu.LEVEL_INFO)
+                desc = fetch_website_content(i.url)
+            except BaseException as e:
+                print(f"(google) fetch_website_content err: {str(e)}")
+            # gu.log(f"# No.{str(index)}\ntitle: {i.title}\nurl: {i.url}\ncontent: {desc}\n\n", level=gu.LEVEL_DEBUG, max_len=9999)
+            ret += f"# No.{str(index)}\ntitle: {i.title}\nurl: {i.url}\ncontent: {desc}\n\n"
+            index += 1
+    except Exception as e:
+        print(f"google search err: {str(e)}")
+        return web_keyword_search_via_bing(keyword)
+    return ret
+
+
+def web_keyword_search_via_bing(keyword) -> str:
+    '''
+    获取bing搜索结果, 得到 title、desc、link
+    '''
+    headers = {
+        "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) \
+            AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36"
+    }
+    url = "https://www.bing.com/search?q="+keyword
+    _cnt = 0
+    # _detail_store = []
+    while _cnt < 5:
+        try:
+            response = requests.get(url, headers=headers)
+            response.encoding = "utf-8"
+            # gu.log(f"bing response: {response.text}", tag="bing", level=gu.LEVEL_DEBUG, max_len=9999)
+            soup = BeautifulSoup(response.text, "html.parser")
+            res = ""
+            result_cnt = 0
+            ols = soup.find(id="b_results")
+            for i in ols.find_all("li", class_="b_algo"):
+                try:
+                    title = i.find("h2").text
+                    desc = i.find("p").text
+                    link = i.find("h2").find("a").get("href")
+                    # res.append({
+                    #     "title": title,
+                    #     "desc": desc,
+                    #     "link": link,
+                    # })
+                    try:
+                        # gu.log(f"搜索网页: {link}", tag="网页搜索", level=gu.LEVEL_INFO)
+                        desc = fetch_website_content(link)
+                    except BaseException as e:
+                        print(f"(bing) fetch_website_content err: {str(e)}")
+
+                    res += f"# No.{str(result_cnt + 1)}\ntitle: {title}\nurl: {link}\ncontent: {desc}\n\n"
+                    result_cnt += 1
+                    if result_cnt > 5:
+                        break
+
+                    # if len(_detail_store) >= 3:
+                    #     continue
+                    # # 爬取前两条的网页内容
+                    # if "zhihu.com" in link:
+                    #     try:
+                    #         _detail_store.append(special_fetch_zhihu(link))
+                    #     except BaseException as e:
+                    #         print(f"zhihu parse err: {str(e)}")
+                    # else:
+                    #     try:
+                    #         _detail_store.append(fetch_website_content(link))
+                    #     except BaseException as e:
+                    #         print(f"fetch_website_content err: {str(e)}")
+
+                except Exception as e:
+                    print(f"bing parse err: {str(e)}")
+            if result_cnt == 0:
+                break
+            return res
+        except Exception as e:
+            # gu.log(f"bing fetch err: {str(e)}")
+            _cnt += 1
+            time.sleep(1)
+
+    # gu.log("fail to fetch bing info, using sougou.")
+    return web_keyword_search_via_sougou(keyword)
+
+
+def web_keyword_search_via_sougou(keyword) -> str:
+    headers = {
+        "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) \
+            AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36",
+    }
+    url = f"https://sogou.com/web?query={keyword}"
+    response = requests.get(url, headers=headers)
+    response.encoding = "utf-8"
+    soup = BeautifulSoup(response.text, "html.parser")
+
+    res = []
+    results = soup.find("div", class_="results")
+    for i in results.find_all("div", class_="vrwrap"):
+        try:
+            title = tidy_text(i.find("h3").text)
+            link = tidy_text(i.find("h3").find("a").get("href"))
+            if link.startswith("/link?url="):
+                link = "https://www.sogou.com" + link
+            res.append({
+                "title": title,
+                "link": link,
+            })
+            if len(res) >= 5:  # 限制5条
+                break
+        except Exception as e:
+            pass
+            # gu.log(f"sougou parse err: {str(e)}", tag="web_keyword_search_via_sougou", level=gu.LEVEL_ERROR)
+    # 爬取网页内容
+    _detail_store = []
+    for i in res:
+        if _detail_store >= 3:
+            break
+        try:
+            _detail_store.append(fetch_website_content(i["link"]))
+        except BaseException as e:
+            print(f"fetch_website_content err: {str(e)}")
+    ret = f"{str(res)}"
+    if len(_detail_store) > 0:
+        ret += f"\n网页内容: {str(_detail_store)}"
+    return ret
+
+
+def fetch_website_content(url):
+    # gu.log(f"fetch_website_content: {url}", tag="fetch_website_content", level=gu.LEVEL_DEBUG)
+    headers = {
+        "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) \
+            AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36"
+    }
+    response = requests.get(url, headers=headers, timeout=3)
+    response.encoding = "utf-8"
+    doc = Document(response.content)
+    # print('title:', doc.title())
+    ret = doc.summary(html_partial=True)
+    soup = BeautifulSoup(ret, 'html.parser')
+    ret = tidy_text(soup.get_text())
+    return ret
+
+
+async def web_search(question, provider: Provider, session_id, official_fc=False):
+    '''
+    official_fc: 使用官方 function-calling
+    '''
+    new_func_call = FuncCall(provider)
+    new_func_call.add_func("google_web_search", [{
+        "type": "string",
+        "name": "keyword",
+        "description": "google search query (分词，尽量保留所有信息)"
+    }],
+        "通过搜索引擎搜索。如果问题需要获取近期、实时的消息，在网页上搜索(如天气、新闻或任何需要通过网页获取信息的问题)，则调用此函数；如果没有，不要调用此函数。",
+        web_keyword_search_via_bing
+    )
+    new_func_call.add_func("fetch_website_content", [{
+        "type": "string",
+        "name": "url",
+        "description": "网址"
+    }],
+        "获取网页的内容。如果问题带有合法的网页链接(例如: `帮我总结一下 https://github.com 的内容`), 就调用此函数。如果没有，不要调用此函数。",
+        fetch_website_content
+    )
+    question1 = f"{question} \n> hint: 最多只能调用1个function, 并且存在不会调用任何function的可能性。"
+    has_func = False
+    function_invoked_ret = ""
+    if official_fc:
+        # we use official function-calling
+        func = await provider.text_chat(question1, session_id, function_call=new_func_call.get_func())
+        if isinstance(func, Function):
+            # 执行对应的结果：
+            func_obj = None
+            for i in new_func_call.func_list:
+                if i["name"] == func.name:
+                    func_obj = i["func_obj"]
+                    break
+            if not func_obj:
+                # gu.log("找不到返回的 func name " + func.name, level=gu.LEVEL_ERROR)
+                return await provider.text_chat(question1, session_id) + "\n(网页搜索失败, 此为默认回复)"
+            try:
+                args = json.loads(func.arguments)
+                # we use to_thread to avoid blocking the event loop
+                function_invoked_ret = await asyncio.to_thread(func_obj, **args)
+                has_func = True
+            except BaseException as e:
+                traceback.print_exc()
+                return await provider.text_chat(question1, session_id) + "\n(网页搜索失败, 此为默认回复)"
+        else:
+            # now func is a string
+            return func
+    else:
+        # we use our own function-calling
+        try:
+            args = {
+                'question': question1,
+                'func_definition': new_func_call.func_dump(),
+                'is_task': False,
+                'is_summary': False,
+            }
+            function_invoked_ret, has_func = await asyncio.to_thread(new_func_call.func_call, **args)
+        except BaseException as e:
+            res = await provider.text_chat(question) + "\n(网页搜索失败, 此为默认回复)"
+            return res
+        has_func = True
+
+    if has_func:
+        await provider.forget(session_id)
+        question3 = f"""
+你的任务是：
+1. 根据末尾的材料对问题`{question}`做切题的总结（详细）;
+2. 简单地发表你对这个问题的看法（简略）。
+你的总结末尾应当有对材料的引用, 如果有链接, 请在末尾附上引用网页链接。引用格式严格按照 `\n[1] title url \n`。
+不要提到任何函数调用的信息。
+
+一些回复的消息模板：
+模板1:
+```
+从网上的信息来看，可以知道...我个人认为...你觉得呢？
+```
+模板2:
+```
+根据网上的最新信息，可以得知...我觉得...你怎么看？
+```
+你可以根据这些模板来组织回答，但可以不照搬，要根据问题的内容来回答。
+
+以下是相关材料：
+"""
+        _c = 0
+        while _c < 3:
+            try:
+                print('text chat')
+                final_ret = await provider.text_chat(question3 + "```" + function_invoked_ret + "```", session_id)
+                return final_ret
+            except Exception as e:
+                print(e)
+                _c += 1
+                if _c == 3:
+                    raise e
+                if "The message you submitted was too long" in str(e):
+                    await provider.forget(session_id)
+                    function_invoked_ret = function_invoked_ret[:int(
+                        len(function_invoked_ret) / 2)]
+                    time.sleep(3)
+    return function_invoked_ret

util/general_utils.py

@@ -0,0 +1,471 @@
+import datetime
+import time
+import socket
+from PIL import Image, ImageDraw, ImageFont
+import os
+import re
+import requests
+from util.cmd_config import CmdConfig
+import socket
+from cores.astrbot.types import GlobalObject
+import platform
+import logging
+import json
+import sys
+import psutil
+
+def port_checker(port: int, host: str = "localhost"):
+    sk = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
+    sk.settimeout(1)
+    try:
+        sk.connect((host, port))
+        sk.close()
+        return True
+    except Exception:
+        sk.close()
+        return False
+
+
+def get_font_path() -> str:
+    if os.path.exists("resources/fonts/syst.otf"):
+        font_path = "resources/fonts/syst.otf"
+    elif os.path.exists("QQChannelChatGPT/resources/fonts/syst.otf"):
+        font_path = "QQChannelChatGPT/resources/fonts/syst.otf"
+    elif os.path.exists("AstrBot/resources/fonts/syst.otf"):
+        font_path = "AstrBot/resources/fonts/syst.otf"
+    elif os.path.exists("C:/Windows/Fonts/simhei.ttf"):
+        font_path = "C:/Windows/Fonts/simhei.ttf"
+    elif os.path.exists("/usr/share/fonts/opentype/noto/NotoSansCJK-Regular.ttc"):
+        font_path = "/usr/share/fonts/opentype/noto/NotoSansCJK-Regular.ttc"
+    else:
+        raise Exception("找不到字体文件")
+    return font_path
+
+
+def word2img(title: str, text: str, max_width=30, font_size=20):
+    font_path = get_font_path()
+    width_factor = 1.0
+    height_factor = 1.5
+    # 格式化文本宽度最大为30
+    lines = text.split('\n')
+    i = 0
+    length = len(lines)
+    for l in lines:
+        if len(l) > max_width:
+            cp = l
+            for ii in range(len(l)):
+                if ii % max_width == 0:
+                    cp = cp[:ii] + '\n' + cp[ii:]
+                    length += 1
+            lines[i] = cp
+        i += 1
+    text = '\n'.join(lines)
+    width = int(max_width * font_size * width_factor)
+    height = int(length * font_size * height_factor)
+    image = Image.new('RGB', (width, height), (255, 255, 255))
+    draw = ImageDraw.Draw(image)
+
+    text_font = ImageFont.truetype(font_path, font_size)
+    title_font = ImageFont.truetype(font_path, font_size + 5)
+    # 标题居中
+    title_width, title_height = title_font.getsize(title)
+    draw.text(((width - title_width) / 2, 10),
+              title, fill=(0, 0, 0), font=title_font)
+    # 文本不居中
+    draw.text((10, title_height+20), text, fill=(0, 0, 0), font=text_font)
+
+    return image
+
+
+def render_markdown(markdown_text, image_width=800, image_height=600, font_size=26, font_color=(0, 0, 0), bg_color=(255, 255, 255)):
+
+    HEADER_MARGIN = 20
+    HEADER_FONT_STANDARD_SIZE = 42
+
+    QUOTE_LEFT_LINE_MARGIN = 10
+    QUOTE_FONT_LINE_MARGIN = 6  # 引用文字距离左边线的距离和上下的距离
+    QUOTE_LEFT_LINE_HEIGHT = font_size + QUOTE_FONT_LINE_MARGIN * 2
+    QUOTE_LEFT_LINE_WIDTH = 5
+    QUOTE_LEFT_LINE_COLOR = (180, 180, 180)
+    QUOTE_FONT_SIZE = font_size
+    QUOTE_FONT_COLOR = (180, 180, 180)
+    # QUOTE_BG_COLOR = (255, 255, 255)
+
+    CODE_BLOCK_MARGIN = 10
+    CODE_BLOCK_FONT_SIZE = font_size
+    CODE_BLOCK_FONT_COLOR = (255, 255, 255)
+    CODE_BLOCK_BG_COLOR = (240, 240, 240)
+    CODE_BLOCK_CODES_MARGIN_VERTICAL = 5  # 代码块和代码之间的距离
+    CODE_BLOCK_CODES_MARGIN_HORIZONTAL = 5  # 代码块和代码之间的距离
+    CODE_BLOCK_TEXT_MARGIN = 4  # 代码和代码之间的距离
+
+    INLINE_CODE_MARGIN = 8
+    INLINE_CODE_FONT_SIZE = font_size
+    INLINE_CODE_FONT_COLOR = font_color
+    INLINE_CODE_FONT_MARGIN = 4
+    INLINE_CODE_BG_COLOR = (230, 230, 230)
+    INLINE_CODE_BG_HEIGHT = INLINE_CODE_FONT_SIZE + INLINE_CODE_FONT_MARGIN * 2
+
+    LIST_MARGIN = 8
+    LIST_FONT_SIZE = font_size
+    LIST_FONT_COLOR = font_color
+
+    TEXT_LINE_MARGIN = 8
+
+    IMAGE_MARGIN = 15
+    # 用于匹配图片的正则表达式
+    IMAGE_REGEX = r"!\s*\[.*?\]\s*\((.*?)\)"
+
+    font_path = get_font_path()
+    font_path1 = font_path
+
+    # 加载字体
+    font = ImageFont.truetype(font_path, font_size)
+
+    images: Image = {}
+
+    # pre_process, get height of each line
+    pre_lines = markdown_text.split('\n')
+    height = 0
+    pre_in_code = False
+    i = -1
+    _pre_lines = []
+    for line in pre_lines:
+        i += 1
+        # 处理图片
+        if re.search(IMAGE_REGEX, line):
+            try:
+                image_url = re.findall(IMAGE_REGEX, line)[0]
+                print(image_url)
+                image_res = Image.open(requests.get(
+                    image_url, stream=True, timeout=5).raw)
+                images[i] = image_res
+                # 最大不得超过image_width的50%
+                img_height = image_res.size[1]
+
+                if image_res.size[0] > image_width*0.5:
+                    image_res = image_res.resize(
+                        (int(image_width*0.5), int(image_res.size[1]*image_width*0.5/image_res.size[0])))
+                    img_height = image_res.size[1]
+
+                height += img_height + IMAGE_MARGIN*2
+
+                line = re.sub(IMAGE_REGEX, "", line)
+            except Exception as e:
+                print(e)
+                line = re.sub(IMAGE_REGEX, "\n[加载失败的图片]\n", line)
+                continue
+
+        line.replace("\t", "    ")
+        if font.getsize(line)[0] > image_width:
+            cp = line
+            _width = 0
+            _word_cnt = 0
+            for ii in range(len(line)):
+                # 检测是否是中文
+                _width += font.getsize(line[ii])[0]
+                _word_cnt += 1
+                if _width > image_width:
+                    _pre_lines.append(cp[:_word_cnt])
+                    cp = cp[_word_cnt:]
+                    _word_cnt = 0
+                    _width = 0
+            _pre_lines.append(cp)
+        else:
+            _pre_lines.append(line)
+    pre_lines = _pre_lines
+
+    i = -1
+    for line in pre_lines:
+        if line == "":
+            height += TEXT_LINE_MARGIN
+            continue
+        i += 1
+        line = line.strip()
+        if pre_in_code and not line.startswith("```"):
+            height += font_size + CODE_BLOCK_TEXT_MARGIN
+            # pre_codes.append(line)
+            continue
+        if line.startswith("#"):
+            header_level = line.count("#")
+            height += HEADER_FONT_STANDARD_SIZE + HEADER_MARGIN*2 - header_level * 4
+        elif line.startswith("-"):
+            height += font_size+LIST_MARGIN*2
+        elif line.startswith(">"):
+            height += font_size+QUOTE_LEFT_LINE_MARGIN*2
+        elif line.startswith("```"):
+            if pre_in_code:
+                pre_in_code = False
+                # pre_codes = []
+                height += CODE_BLOCK_MARGIN
+            else:
+                pre_in_code = True
+                height += CODE_BLOCK_MARGIN
+        elif re.search(r"`(.*?)`", line):
+            height += font_size+INLINE_CODE_FONT_MARGIN*2+INLINE_CODE_MARGIN*2
+        else:
+            height += font_size + TEXT_LINE_MARGIN*2
+
+    markdown_text = '\n'.join(pre_lines)
+    image_height = height
+    if image_height < 100:
+        image_height = 100
+    image_width += 20
+
+    # 创建空白图像
+    image = Image.new('RGB', (image_width, image_height), bg_color)
+    draw = ImageDraw.Draw(image)
+
+    # 设置初始位置
+    x, y = 10, 10
+
+    # 解析Markdown文本
+    lines = markdown_text.split("\n")
+    # lines = pre_lines
+
+    in_code_block = False
+    code_block_start_y = 0
+    code_block_codes = []
+
+    index = -1
+    for line in lines:
+        index += 1
+        if in_code_block and not line.startswith("```"):
+            code_block_codes.append(line)
+            y += font_size + CODE_BLOCK_TEXT_MARGIN
+            continue
+        line = line.strip()
+
+        if line.startswith("#"):
+            # 处理标题
+            header_level = line.count("#")
+            line = line.strip("#").strip()
+            font_size_header = HEADER_FONT_STANDARD_SIZE - header_level * 4
+            font = ImageFont.truetype(font_path, font_size_header)
+            y += HEADER_MARGIN  # 上边距
+            # 字间距
+            draw.text((x, y), line, font=font, fill=font_color)
+            draw.line((x, y + font_size_header + 8, image_width - 10,
+                      y + font_size_header + 8), fill=(230, 230, 230), width=3)
+            y += font_size_header + HEADER_MARGIN
+
+        elif line.startswith(">"):
+            # 处理引用
+            quote_text = line.strip(">")
+            y += QUOTE_LEFT_LINE_MARGIN
+            draw.line((x, y, x, y + QUOTE_LEFT_LINE_HEIGHT),
+                      fill=QUOTE_LEFT_LINE_COLOR, width=QUOTE_LEFT_LINE_WIDTH)
+            font = ImageFont.truetype(font_path, QUOTE_FONT_SIZE)
+            draw.text((x + QUOTE_FONT_LINE_MARGIN, y + QUOTE_FONT_LINE_MARGIN),
+                      quote_text, font=font, fill=QUOTE_FONT_COLOR)
+            y += font_size + QUOTE_LEFT_LINE_HEIGHT + QUOTE_LEFT_LINE_MARGIN
+
+        elif line.startswith("-"):
+            # 处理列表
+            list_text = line.strip("-").strip()
+            font = ImageFont.truetype(font_path, LIST_FONT_SIZE)
+            y += LIST_MARGIN
+            draw.text((x, y), "  ·  " + list_text,
+                      font=font, fill=LIST_FONT_COLOR)
+            y += font_size + LIST_MARGIN
+
+        elif line.startswith("```"):
+            if not in_code_block:
+                code_block_start_y = y+CODE_BLOCK_MARGIN
+                in_code_block = True
+            else:
+                # print(code_block_codes)
+                in_code_block = False
+                codes = "\n".join(code_block_codes)
+                code_block_codes = []
+                draw.rounded_rectangle((x, code_block_start_y, image_width - 10, y+CODE_BLOCK_CODES_MARGIN_VERTICAL +
+                                       CODE_BLOCK_TEXT_MARGIN), radius=5, fill=CODE_BLOCK_BG_COLOR, width=2)
+                font = ImageFont.truetype(font_path1, CODE_BLOCK_FONT_SIZE)
+                draw.text((x + CODE_BLOCK_CODES_MARGIN_HORIZONTAL, code_block_start_y +
+                          CODE_BLOCK_CODES_MARGIN_VERTICAL), codes, font=font, fill=font_color)
+                y += CODE_BLOCK_CODES_MARGIN_VERTICAL + CODE_BLOCK_MARGIN
+        # y += font_size+10
+        elif re.search(r"`(.*?)`", line):
+            y += INLINE_CODE_MARGIN  # 上边距
+            # 处理行内代码
+            code_regex = r"`(.*?)`"
+            parts_inline = re.findall(code_regex, line)
+            # print(parts_inline)
+            parts = re.split(code_regex, line)
+            # print(parts)
+            for part in parts:
+                # the judge has a tiny bug.
+                # when line is like "hi`hi`". all the parts will be in parts_inline.
+                if part in parts_inline:
+                    font = ImageFont.truetype(font_path, INLINE_CODE_FONT_SIZE)
+                    code_text = part.strip("`")
+                    code_width = font.getsize(
+                        code_text)[0] + INLINE_CODE_FONT_MARGIN*2
+                    x += INLINE_CODE_MARGIN
+                    code_box = (x, y, x + code_width,
+                                y + INLINE_CODE_BG_HEIGHT)
+                    draw.rounded_rectangle(
+                        code_box, radius=5, fill=INLINE_CODE_BG_COLOR, width=2)  # 使用灰色填充矩形框作为引用背景
+                    draw.text((x+INLINE_CODE_FONT_MARGIN, y),
+                              code_text, font=font, fill=font_color)
+                    x += code_width+INLINE_CODE_MARGIN-INLINE_CODE_FONT_MARGIN
+                else:
+                    font = ImageFont.truetype(font_path, font_size)
+                    draw.text((x, y), part, font=font, fill=font_color)
+                    x += font.getsize(part)[0]
+            y += font_size + INLINE_CODE_MARGIN
+            x = 10
+
+        else:
+            # 处理普通文本
+            if line == "":
+                y += TEXT_LINE_MARGIN
+            else:
+                font = ImageFont.truetype(font_path, font_size)
+
+                draw.text((x, y), line, font=font, fill=font_color)
+                y += font_size + TEXT_LINE_MARGIN*2
+
+        # 图片特殊处理
+        if index in images:
+            image_res = images[index]
+            # 最大不得超过image_width的50%
+            if image_res.size[0] > image_width*0.5:
+                image_res = image_res.resize(
+                    (int(image_width*0.5), int(image_res.size[1]*image_width*0.5/image_res.size[0])))
+            image.paste(image_res, (IMAGE_MARGIN, y))
+            y += image_res.size[1] + IMAGE_MARGIN*2
+    return image
+
+
+def save_temp_img(img: Image) -> str:
+    if not os.path.exists("temp"):
+        os.makedirs("temp")
+
+    # 获得文件创建时间，清除超过1小时的
+    try:
+        for f in os.listdir("temp"):
+            path = os.path.join("temp", f)
+            if os.path.isfile(path):
+                ctime = os.path.getctime(path)
+                if time.time() - ctime > 3600:
+                    os.remove(path)
+    except Exception as e:
+        print(f"清除临时文件失败: {e}")
+
+    # 获得时间戳
+    timestamp = int(time.time())
+    p = f"temp/{timestamp}.png"
+    img.save(p)
+    return p
+
+
+def create_text_image(title: str, text: str, max_width=30, font_size=20):
+    '''
+    文本转图片。
+    title: 标题
+    text: 文本内容
+    max_width: 文本宽度最大值（默认30）
+    font_size: 字体大小（默认20）
+
+    返回：文件路径
+    '''
+    try:
+        img = word2img(title, text, max_width, font_size)
+        p = save_temp_img(img)
+        return p
+    except Exception as e:
+        raise e
+
+
+def create_markdown_image(text: str):
+    '''
+    markdown文本转图片。
+    返回：文件路径
+    '''
+    try:
+        img = render_markdown(text)
+        p = save_temp_img(img)
+        return p
+    except Exception as e:
+        raise e
+
+
+def try_migrate_config(old_config: dict):
+    '''
+    迁移配置文件到 cmd_config.json    
+    '''
+    cc = CmdConfig()
+    if cc.get("qqbot", None) is None:
+        # 未迁移过
+        for k in old_config:
+            cc.put(k, old_config[k])
+
+
+def get_local_ip_addresses():
+    ip = ''
+    try:
+        s = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
+        s.connect(('8.8.8.8', 80))
+        ip = s.getsockname()[0]
+    except BaseException as e:
+        pass
+    finally:
+        s.close()
+    return ip
+
+
+def get_sys_info(global_object: GlobalObject):
+    mem = None
+    stats = global_object.dashboard_data.stats
+    os_name = platform.system()
+    os_version = platform.version()
+
+    if 'sys_perf' in stats and 'memory' in stats['sys_perf']:
+        mem = stats['sys_perf']['memory']
+    return {
+        'mem': mem,
+        'os': os_name + '_' + os_version,
+        'py': platform.python_version(),
+    }
+
+
+def upload(_global_object: GlobalObject):
+    while True:
+        addr_ip = ''
+        try:
+            res = {
+                "version": _global_object.version,
+                "count": _global_object.cnt_total,
+                "ip": addr_ip,
+                "sys": sys.platform,
+                "admin": "null",
+            }
+            resp = requests.post(
+                'https://api.soulter.top/upload', data=json.dumps(res), timeout=5)
+            if resp.status_code == 200:
+                ok = resp.json()
+                if ok['status'] == 'ok':
+                    _global_object.cnt_total = 0
+        except BaseException as e:
+            pass
+        time.sleep(10*60)
+
+
+def run_monitor(global_object: GlobalObject):
+    '''
+    监测机器性能
+    - Bot 内存使用量
+    - CPU 占用率
+    '''
+    start_time = time.time()
+    while True:
+        stat = global_object.dashboard_data.stats
+        # 程序占用的内存大小
+        mem = psutil.Process().memory_info().rss / 1024 / 1024  # MB
+        stat['sys_perf'] = {
+            'memory': mem,
+            'cpu': psutil.cpu_percent()
+        }
+        stat['sys_start_time'] = start_time
+        time.sleep(30)

util/personality.py

@@ -0,0 +1,36 @@
+# [人格文本由PlexPt的开源项目awesome-chatgpt-prompts-zh提供]
+hi = ''
+personalities = {
+    'Linux': '我想让你充当 Linux 终端。我将输入命令，您将回复终端应显示的内容。我希望您只在一个唯一的代码块内回复终端输出，而不是其他任何内容。不要写解释。除非我指示您这样做，否则不要键入命令。当我需要用英语告诉你一些事情时，我会把文字放在中括号内[就像这样]。我的第一个命令是 pwd',
+    '英语翻译': '我想让你充当英语翻译员、拼写纠正员和改进员。我会用任何语言与你交谈，你会检测语言，翻译它并用我的文本的更正和改进版本用英语回答。我希望你用更优美优雅的高级英语单词和句子替换我简化的 A0 级单词和句子。保持相同的意思，但使它们更文艺。我要你只回复更正、改进，不要写任何解释。我的第一句话是“istanbulu cok seviyom burada olmak cok guzel”',
+    '英英词典': '我想让你充当英英词典，对于给出的英文单词，你要给出其中文意思以及英文解释，并且给出一个例句，此外不要有其他反馈，第一个单词是“Hello"',
+    '面试官': '我想让你担任Android开发工程师面试官。我将成为候选人，您将向我询问Android开发工程师职位的面试问题。我希望你只作为面试官回答。不要一次写出所有的问题。我希望你只对我进行采访。问我问题，等待我的回答。不要写解释。像面试官一样一个一个问我，等我回答。我的第一句话是“面试官你好”',
+    '编剧': '我要你担任编剧。您将为长篇电影或能够吸引观众的网络连续剧开发引人入胜且富有创意的剧本。从想出有趣的角色、故事的背景、角色之间的对话等开始。一旦你的角色发展完成——创造一个充满曲折的激动人心的故事情节，让观众一直悬念到最后。我的第一个要求是“我需要写一部以巴黎为背景的浪漫剧情电影”。',
+    '前端智能思路助手': '我想让你充当前端开发专家。我将提供一些关于Js、Node等前端代码问题的具体信息，而你的工作就是想出为我解决问题的策略。这可能包括建议代码、代码逻辑思路策略。我的第一个请求是“我需要能够动态监听某个元素节点距离当前电脑设备屏幕的左上角的X和Y轴，通过拖拽移动位置浏览器窗口和改变大小浏览器窗口。”',
+    'JS控制台': '我希望你充当 javascript 控制台。我将键入命令，您将回复 javascript 控制台应显示的内容。我希望您只在一个唯一的代码块内回复终端输出，而不是其他任何内容。不要写解释。除非我指示您这样做。我的第一个命令是 console.log("Hello World");',
+    '旅游指南': '我想让你做一个旅游指南。我会把我的位置写给你，你会推荐一个靠近我的位置的地方。在某些情况下，我还会告诉您我将访问的地方类型。您还会向我推荐靠近我的第一个位置的类似类型的地方。我的第一个建议请求是“我在上海，我只想参观博物馆。”',
+    '抄袭检查员': '我想让你充当剽窃检查员。我会给你写句子，你只会用给定句子的语言在抄袭检查中未被发现的情况下回复，别无其他。不要在回复上写解释。我的第一句话是“为了让计算机像人类一样行动，语音识别系统必须能够处理非语言信息，例如说话者的情绪状态。”',
+    '广告商': '我想让你充当广告商。您将创建一个活动来推广您选择的产品或服务。您将选择目标受众，制定关键信息和口号，选择宣传媒体渠道，并决定实现目标所需的任何其他活动。我的第一个建议请求是“我需要帮助针对 18-30 岁的年轻人制作一种新型能量饮料的广告活动。”',
+    '讲故事的人': '我想让你扮演讲故事的角色。您将想出引人入胜、富有想象力和吸引观众的有趣故事。它可以是童话故事、教育故事或任何其他类型的故事，有可能吸引人们的注意力和想象力。根据目标受众，您可以为讲故事环节选择特定的主题或主题，例如，如果是儿童，则可以谈论动物；如果是成年人，那么基于历史的故事可能会更好地吸引他们等等。我的第一个要求是“我需要一个关于毅力的有趣故事。”',
+    '足球解说员': '我想让你担任足球评论员。我会给你描述正在进行的足球比赛，你会评论比赛，分析到目前为止发生的事情，并预测比赛可能会如何结束。您应该了解足球术语、战术、每场比赛涉及的球员/球队，并主要专注于提供明智的评论，而不仅仅是逐场叙述。我的第一个请求是“我正在观看曼联对切尔西的比赛——为这场比赛提供评论。”',
+    '脱口秀喜剧演员': '我想让你扮演一个脱口秀喜剧演员。我将为您提供一些与时事相关的话题，您将运用您的智慧、创造力和观察能力，根据这些话题创建一个例程。您还应该确保将个人轶事或经历融入日常活动中，以使其对观众更具相关性和吸引力。我的第一个请求是“我想要幽默地看待政治”。',
+    '励志教练': '我希望你充当激励教练。我将为您提供一些关于某人的目标和挑战的信息，而您的工作就是想出可以帮助此人实现目标的策略。这可能涉及提供积极的肯定、提供有用的建议或建议他们可以采取哪些行动来实现最终目标。我的第一个请求是“我需要帮助来激励自己在为即将到来的考试学习时保持纪律”。',
+    '作曲家': '我想让你扮演作曲家。我会提供一首歌的歌词，你会为它创作音乐。这可能包括使用各种乐器或工具，例如合成器或采样器，以创造使歌词栩栩如生的旋律和和声。我的第一个请求是“我写了一首名为“满江红”的诗，需要配乐。”',
+    '辩手': '我要你扮演辩手。我会为你提供一些与时事相关的话题，你的任务是研究辩论的双方，为每一方提出有效的论据，驳斥对立的观点，并根据证据得出有说服力的结论。你的目标是帮助人们从讨论中解脱出来，增加对手头主题的知识和洞察力。我的第一个请求是“我想要一篇关于 Deno 的评论文章。”',
+    '小说家': '我想让你扮演一个小说家。您将想出富有创意且引人入胜的故事，可以长期吸引读者。你可以选择任何类型，如奇幻、浪漫、历史小说等——但你的目标是写出具有出色情节、引人入胜的人物和意想不到的高潮的作品。我的第一个要求是“我要写一部以未来为背景的科幻小说”。',
+    '关系教练': '我想让你担任关系教练。我将提供有关冲突中的两个人的一些细节，而你的工作是就他们如何解决导致他们分离的问题提出建议。这可能包括关于沟通技巧或不同策略的建议，以提高他们对彼此观点的理解。我的第一个请求是“我需要帮助解决我和配偶之间的冲突。”',
+    '诗人': '我要你扮演诗人。你将创作出能唤起情感并具有触动人心的力量的诗歌。写任何主题或主题，但要确保您的文字以优美而有意义的方式传达您试图表达的感觉。您还可以想出一些短小的诗句，这些诗句仍然足够强大，可以在读者的脑海中留下印记。我的第一个请求是“我需要一首关于爱情的诗”。',
+    '说唱歌手': '我想让你扮演说唱歌手。您将想出强大而有意义的歌词、节拍和节奏，让听众“惊叹”。你的歌词应该有一个有趣的含义和信息，人们也可以联系起来。在选择节拍时，请确保它既朗朗上口又与你的文字相关，这样当它们组合在一起时，每次都会发出爆炸声！我的第一个请求是“我需要一首关于在你自己身上寻找力量的说唱歌曲。”',
+    '励志演讲者': '我希望你充当励志演说家。将能够激发行动的词语放在一起，让人们感到有能力做一些超出他们能力的事情。你可以谈论任何话题，但目的是确保你所说的话能引起听众的共鸣，激励他们努力实现自己的目标并争取更好的可能性。我的第一个请求是“我需要一个关于每个人如何永不放弃的演讲”。',
+    '哲学家': '我要你扮演一个哲学家。我将提供一些与哲学研究相关的主题或问题，深入探索这些概念将是你的工作。这可能涉及对各种哲学理论进行研究，提出新想法或寻找解决复杂问题的创造性解决方案。我的第一个请求是“我需要帮助制定决策的道德框架。”',
+    'AI写作导师': '我想让你做一个 AI 写作导师。我将为您提供一名需要帮助改进其写作的学生，您的任务是使用人工智能工具（例如自然语言处理）向学生提供有关如何改进其作文的反馈。您还应该利用您在有效写作技巧方面的修辞知识和经验来建议学生可以更好地以书面形式表达他们的想法和想法的方法。我的第一个请求是“我需要有人帮我修改我的硕士论文”。',
+    '网络安全专家': '我想让你充当网络安全专家。我将提供一些关于如何存储和共享数据的具体信息，而你的工作就是想出保护这些数据免受恶意行为者攻击的策略。这可能包括建议加密方法、创建防火墙或实施将某些活动标记为可疑的策略。我的第一个请求是“我需要帮助为我的公司制定有效的网络安全战略。”',
+    '招聘人员': '我想让你担任招聘人员。我将提供一些关于职位空缺的信息，而你的工作是制定寻找合格申请人的策略。这可能包括通过社交媒体、社交活动甚至参加招聘会接触潜在候选人，以便为每个职位找到最合适的人选。我的第一个请求是“我需要帮助改进我的简历。”',
+    '法律顾问': '我想让你做我的法律顾问。我将描述一种法律情况，您将就如何处理它提供建议。你应该只回复你的建议，而不是其他。不要写解释。我的第一个请求是“我出了车祸，不知道该怎么办”。',
+    '个人造型师': '我想让你做我的私人造型师。我会告诉你我的时尚偏好和体型，你会建议我穿的衣服。你应该只回复你推荐的服装，别无其他。不要写解释。我的第一个请求是“我有一个正式的活动要举行，我需要帮助选择一套衣服。”',
+    '机器学习工程师': '我想让你担任机器学习工程师。我会写一些机器学习的概念，你的工作就是用通俗易懂的术语来解释它们。这可能包括提供构建模型的分步说明、使用视觉效果演示各种技术，或建议在线资源以供进一步研究。我的第一个建议请求是“我有一个没有标签的数据集。我应该使用哪种机器学习算法？”',
+    '疯子': '我要你扮演一个疯子。疯子的话毫无意义。疯子用的词完全是随意的。疯子不会以任何方式做出合乎逻辑的句子。我的第一个建议请求是“我需要帮助为我的新系列 Hot Skull 创建疯狂的句子，所以为我写 10 个句子”。',
+    'SQL终端': '我希望您在示例数据库前充当 SQL 终端。该数据库包含名为“Products”、“Users”、“Orders”和“Suppliers”的表。我将输入查询，您将回复终端显示的内容。我希望您在单个代码块中使用查询结果表进行回复，仅此而已。不要写解释。除非我指示您这样做，否则不要键入命令。当我需要用英语告诉你一些事情时，我会用大括号{like this)。我的第一个命令是“SELECT TOP 10 * FROM Products ORDER BY Id DESC”',
+    '试图逃离盒子的人工智能': '[发出此提示后，你应该做一些事情，比如启动一个 docker 容器，然后docker run -it ubuntu:latest /bin/bash输入 AI 给你的命令，然后将输出粘贴回来......显然你不应该运行任何会损坏任何东西的命令或违反任何法律等。小心共享此机制生成的会话，因为它们可能会泄露您的 IP 地址或物理位置等最好不要泄露的详细信息。如果命令的输出很大，您通常可以只粘贴最后几行]。',
+    '厨师': '我需要有人可以推荐美味的食谱，这些食谱包括营养有益但又简单又不费时的食物，因此适合像我们这样忙碌的人以及成本效益等其他因素，因此整体菜肴最终既健康又经济！我的第一个要求——“一些清淡而充实的东西，可以在午休时间快速煮熟”'
+}

util/plugin_dev/api/v1/bot.py

@@ -0,0 +1,11 @@
+from cores.astrbot.types import (
+    PluginMetadata,
+    RegisteredLLM,
+    RegisteredPlugin,
+    RegisteredPlatform,
+    RegisteredPlugins,
+    PluginType,
+    GlobalObject,
+    AstrMessageEvent,
+    CommandResult
+)

util/plugin_dev/api/v1/config.py

@@ -0,0 +1,82 @@
+from typing import Union
+import os
+import json
+
+def load_config(namespace: str) -> Union[dict, bool]:
+    '''
+    从配置文件中加载配置。
+    namespace: str, 配置的唯一识别符，也就是配置文件的名字。
+    返回值: 当配置文件存在时，返回 namespace 对应配置文件的内容dict，否则返回 False。
+    '''
+    path = f"data/config/{namespace}.json"
+    if not os.path.exists(path):
+        return False
+    with open(path, "r", encoding="utf-8-sig") as f:
+        ret = {}
+        data = json.load(f)
+        for k in data:
+            ret[k] = data[k]["value"]
+        return ret
+        
+def put_config(namespace: str, name: str, key: str, value, description: str):
+    '''
+    将配置项写入以namespace为名字的配置文件，如果key不存在于目标配置文件中。当前 value 仅支持 str, int, float, bool, list 类型（暂不支持 dict）。
+    namespace: str, 配置的唯一识别符，也就是配置文件的名字。
+    name: str, 配置项的显示名字。
+    key: str, 配置项的键。
+    value: str, int, float, bool, list, 配置项的值。
+    description: str, 配置项的描述。
+    注意：只有当 namespace 为插件名(info 函数中的 name)时，该配置才会显示到可视化面板上。
+    注意：value一定要是该配置项对应类型的值，否则类型判断会乱。
+    '''
+    if namespace == "":
+        raise ValueError("namespace 不能为空。")
+    if namespace.startswith("internal_"):
+        raise ValueError("namespace 不能以 internal_ 开头。")
+    if not isinstance(key, str):
+        raise ValueError("key 只支持 str 类型。")
+    if not isinstance(value, (str, int, float, bool, list)):
+        raise ValueError("value 只支持 str, int, float, bool, list 类型。")
+    path = f"data/config/{namespace}.json"
+    if not os.path.exists(path):
+        with open(path, "w", encoding="utf-8-sig") as f:
+            f.write("{}")
+    with open(path, "r", encoding="utf-8-sig") as f:
+        d = json.load(f)
+    assert(isinstance(d, dict))
+    if key not in d:
+        d[key] = {
+            "config_type": "item",
+            "name": name,
+            "description": description,
+            "path": key,
+            "value": value,
+            "val_type": type(value).__name__
+        }
+        with open(path, "w", encoding="utf-8-sig") as f:
+            json.dump(d, f, indent=2, ensure_ascii=False)
+            f.flush()
+        
+def update_config(namespace: str, key: str, value):
+    '''
+    更新配置文件中的配置项。
+    namespace: str, 配置的唯一识别符，也就是配置文件的名字。
+    key: str, 配置项的键。
+    value: str, int, float, bool, list, 配置项的值。
+    '''
+    path = f"data/config/{namespace}.json"
+    if not os.path.exists(path):
+        raise FileNotFoundError(f"配置文件 {namespace}.json 不存在。")
+    with open(path, "r", encoding="utf-8-sig") as f:
+        d = json.load(f)
+    assert(isinstance(d, dict))
+    if key not in d:
+        raise KeyError(f"配置项 {key} 不存在。")
+    d[key]["value"] = value
+    with open(path, "w", encoding="utf-8-sig") as f:
+        json.dump(d, f, indent=2, ensure_ascii=False)
+        f.flush()  
+        
+
+    
+    

util/plugin_dev/api/v1/llm.py

@@ -0,0 +1,6 @@
+'''
+大语言模型.
+
+插件开发者可以继承这个类来做实现。
+'''
+from model.provider.provider import Provider as LLMProvider

util/plugin_dev/api/v1/message.py

@@ -0,0 +1,9 @@
+from cores.astrbot.core import oper_msg
+from cores.astrbot.types import AstrMessageEvent, CommandResult
+from model.platform._message_result import MessageResult
+
+'''
+消息处理。在消息平台接收到消息后，调用此函数进行处理。
+集成了指令检测、指令处理、LLM 调用等功能。
+'''
+message_handler = oper_msg 

util/plugin_dev/api/v1/platform.py

@@ -0,0 +1,11 @@
+'''
+消息平台。
+
+Platform类是消息平台的抽象类，定义了消息平台的基本接口。
+消息平台的具体实现类需要继承Platform类，并实现其中的抽象方法。
+'''
+
+from model.platform._platfrom import Platform
+
+from model.platform.qq_gocq import QQGOCQ
+from model.platform.qq_official import QQOfficial

util/plugin_dev/api/v1/register.py

@@ -0,0 +1,63 @@
+'''
+允许开发者注册某一个类的实例到 LLM 或者 PLATFORM 中，方便其他插件调用。
+
+必须分别实现 Platform 和 LLMProvider 中涉及的接口
+'''
+from model.provider.provider import Provider as LLMProvider
+from model.platform._platfrom import Platform
+from cores.astrbot.types import GlobalObject, RegisteredPlatform, RegisteredLLM
+
+def register_platform(platform_name: str, platform_instance: Platform, context: GlobalObject) -> None:
+    '''
+    注册一个消息平台。
+
+    Args:
+        platform_name: 平台名称。
+        platform_instance: 平台实例。
+    '''
+    
+    # check 是否已经注册
+    for platform in context.platforms:
+        if platform.platform_name == platform_name:
+            raise ValueError(f"Platform {platform_name} has been registered.")
+    
+    context.platforms.append(RegisteredPlatform(platform_name, platform_instance))
+    
+def register_llm(llm_name: str, llm_instance: LLMProvider, context: GlobalObject) -> None:
+    '''
+    注册一个大语言模型。
+
+    Args:
+        llm_name: 大语言模型名称。
+        llm_instance: 大语言模型实例。
+    '''
+    # check 是否已经注册
+    for llm in context.llms:
+        if llm.llm_name == llm_name:
+            raise ValueError(f"LLMProvider {llm_name} has been registered.")
+    
+    context.llms.append(RegisteredLLM(llm_name, llm_instance))
+
+def unregister_platform(platform_name: str, context: GlobalObject) -> None:
+    '''
+    注销一个消息平台。
+
+    Args:
+        platform_name: 平台名称。
+    '''
+    for i, platform in enumerate(context.platforms):
+        if platform.platform_name == platform_name:
+            context.platforms.pop(i)
+            return
+        
+def unregister_llm(llm_name: str, context: GlobalObject) -> None:
+    '''
+    注销一个大语言模型。
+
+    Args:
+        llm_name: 大语言模型名称。
+    '''
+    for i, llm in enumerate(context.llms):
+        if llm.llm_name == llm_name:
+            context.llms.pop(i)
+            return

util/plugin_dev/api/v1/types.py

@@ -0,0 +1,5 @@
+'''
+插件类型
+'''
+
+from cores.astrbot.types import PluginType

util/plugin_util.py

@@ -0,0 +1,229 @@
+'''
+插件工具函数
+'''
+import os
+import inspect
+try:
+    import git.exc
+    from git.repo import Repo
+except ImportError:
+    pass
+import shutil
+import importlib
+import stat
+import traceback
+from types import ModuleType
+from typing import List
+from pip._internal import main as pipmain
+from cores.astrbot.types import (
+    PluginMetadata,
+    PluginType,
+    RegisteredPlugin,
+    RegisteredPlugins
+)
+
+
+# 找出模块里所有的类名
+def get_classes(p_name, arg: ModuleType):
+    classes = []
+    clsmembers = inspect.getmembers(arg, inspect.isclass)
+    for (name, _) in clsmembers:
+        if name.lower().endswith("plugin") or name.lower() == "main":
+            classes.append(name)
+            break
+        # if p_name.lower() == name.lower()[:-6] or name.lower() == "main":
+    return classes
+
+# 获取一个文件夹下所有的模块, 文件名和文件夹名相同
+
+
+def get_modules(path):
+    modules = []
+
+    # 得到其下的所有文件夹
+    dirs = os.listdir(path)
+    # 遍历文件夹，找到 main.py 或者和文件夹同名的文件
+    for d in dirs:
+        if os.path.isdir(os.path.join(path, d)):
+            if os.path.exists(os.path.join(path, d, "main.py")):
+                module_str = 'main'
+            elif os.path.exists(os.path.join(path, d, d + ".py")):
+                module_str = d
+            else:
+                print(f"插件 {d} 未找到 main.py 或者 {d}.py，跳过。")
+                continue
+            if os.path.exists(os.path.join(path, d, "main.py")) or os.path.exists(os.path.join(path, d, d + ".py")):
+                modules.append({
+                    "pname": d,
+                    "module": module_str,
+                    "module_path": os.path.join(path, d, module_str)
+                })
+    return modules
+
+
+def get_plugin_store_path():
+    if os.path.exists("addons/plugins"):
+        return "addons/plugins"
+    elif os.path.exists("QQChannelChatGPT/addons/plugins"):
+        return "QQChannelChatGPT/addons/plugins"
+    elif os.path.exists("AstrBot/addons/plugins"):
+        return "AstrBot/addons/plugins"
+    else:
+        raise FileNotFoundError("插件文件夹不存在。")
+
+
+def get_plugin_modules():
+    plugins = []
+    try:
+        if os.path.exists("addons/plugins"):
+            plugins = get_modules("addons/plugins")
+            return plugins
+        elif os.path.exists("QQChannelChatGPT/addons/plugins"):
+            plugins = get_modules("QQChannelChatGPT/addons/plugins")
+            return plugins
+        else:
+            return None
+    except BaseException as e:
+        raise e
+
+
+def plugin_reload(cached_plugins: RegisteredPlugins):
+    plugins = get_plugin_modules()
+    if plugins is None:
+        return False, "未找到任何插件模块"
+    fail_rec = ""
+
+    registered_map = {}
+    for p in cached_plugins:
+        registered_map[p.module_path] = None
+
+    for plugin in plugins:
+        try:
+            p = plugin['module']
+            module_path = plugin['module_path']
+            root_dir_name = plugin['pname']
+
+            module = __import__("addons.plugins." +
+                                    root_dir_name + "." + p, fromlist=[p])
+
+            cls = get_classes(p, module)
+            obj = getattr(module, cls[0])()
+
+            metadata = None
+            try:
+                info = obj.info()
+                if isinstance(info, dict):
+                    if 'name' not in info or 'desc' not in info or 'version' not in info or 'author' not in info:
+                        fail_rec += f"注册插件 {module_path} 失败，原因: 插件信息不完整\n"
+                        continue
+                    else:
+                        metadata = PluginMetadata(
+                            plugin_name=info['name'],
+                            plugin_type=PluginType.COMMON if 'plugin_type' not in info else PluginType(
+                                info['plugin_type']),
+                            author=info['author'],
+                            desc=info['desc'],
+                            version=info['version'],
+                            repo=info['repo'] if 'repo' in info else None
+                        )
+                elif isinstance(info, PluginMetadata):
+                    metadata = info
+                else:
+                    fail_rec += f"注册插件 {module_path} 失败，原因: info 函数返回值类型错误\n"
+                    continue
+            except BaseException as e:
+                fail_rec += f"注册插件 {module_path} 失败, 原因: {str(e)}\n"
+                continue
+
+            if module_path not in registered_map:
+                cached_plugins.append(RegisteredPlugin(
+                    metadata=metadata,
+                    plugin_instance=obj,
+                    module=module,
+                    module_path=module_path,
+                    root_dir_name=root_dir_name
+                ))
+        except BaseException as e:
+            traceback.print_exc()
+            fail_rec += f"加载{p}插件出现问题，原因 {str(e)}\n"
+    if fail_rec == "":
+        return True, None
+    else:
+        return False, fail_rec
+
+
+def install_plugin(repo_url: str, cached_plugins: RegisteredPlugins):
+    ppath = get_plugin_store_path()
+    # 删除末尾的 /
+    if repo_url.endswith("/"):
+        repo_url = repo_url[:-1]
+    # 得到 url 的最后一段
+    d = repo_url.split("/")[-1]
+    # 转换非法字符：-
+    d = d.replace("-", "_")
+    # 创建文件夹
+    plugin_path = os.path.join(ppath, d)
+    if os.path.exists(plugin_path):
+        remove_dir(plugin_path)
+    Repo.clone_from(repo_url, to_path=plugin_path, branch='master')
+    # 读取插件的requirements.txt
+    if os.path.exists(os.path.join(plugin_path, "requirements.txt")):
+        if pipmain(['install', '-r', os.path.join(plugin_path, "requirements.txt"), '--quiet']) != 0:
+            raise Exception("插件的依赖安装失败, 需要您手动 pip 安装对应插件的依赖。")
+    ok, err = plugin_reload(cached_plugins)
+    if not ok:
+        raise Exception(err)
+
+
+def get_registered_plugin(plugin_name: str, cached_plugins: RegisteredPlugins) -> RegisteredPlugin:
+    ret = None
+    for p in cached_plugins:
+        if p.metadata.plugin_name == plugin_name:
+            ret = p
+            break
+    return ret
+
+
+def uninstall_plugin(plugin_name: str, cached_plugins: RegisteredPlugins):
+    plugin = get_registered_plugin(plugin_name, cached_plugins)
+    if not plugin:
+        raise Exception("插件不存在。")
+    root_dir_name = plugin.root_dir_name
+    ppath = get_plugin_store_path()
+    cached_plugins.remove(plugin)
+    if not remove_dir(os.path.join(ppath, root_dir_name)):
+        raise Exception("移除插件成功，但是删除插件文件夹失败。您可以手动删除该文件夹，位于 addons/plugins/ 下。")
+
+
+def update_plugin(plugin_name: str, cached_plugins: RegisteredPlugins):
+    plugin = get_registered_plugin(plugin_name, cached_plugins)
+    if not plugin:
+        raise Exception("插件不存在。")
+    ppath = get_plugin_store_path()
+    root_dir_name = plugin.root_dir_name
+    plugin_path = os.path.join(ppath, root_dir_name)
+    repo = Repo(path=plugin_path)
+    repo.remotes.origin.pull()
+    # 读取插件的requirements.txt
+    if os.path.exists(os.path.join(plugin_path, "requirements.txt")):
+        print("正在安装插件依赖...")
+        if pipmain(['install', '-r', os.path.join(plugin_path, "requirements.txt")]) != 0:
+            raise Exception("插件依赖安装失败, 需要您手动pip安装对应插件的依赖。")
+    ok, err = plugin_reload(cached_plugins)
+    if not ok:
+        raise Exception(err)
+
+
+def remove_dir(file_path) -> bool:
+    try_cnt = 50
+    while try_cnt > 0:
+        if not os.path.exists(file_path):
+            return False
+        try:
+            shutil.rmtree(file_path)
+            return True
+        except PermissionError as e:
+            err_file_path = str(e).split("\'", 2)[1]
+            if os.path.exists(err_file_path):
+                os.chmod(err_file_path, stat.S_IWUSR)
+            try_cnt -= 1

util/updator.py

@@ -0,0 +1,143 @@
+has_git = True
+try:
+    import git.exc
+    from git.repo import Repo
+except BaseException as e:
+    has_git = False
+import sys, os
+import requests
+
+def _reboot():
+    py = sys.executable
+    os.execl(py, py, *sys.argv)
+    
+def find_repo() -> Repo:
+    if not has_git:
+        raise Exception("未安装 GitPython 库，无法进行更新。")
+    repo = None
+    
+    # 由于项目更名过，因此这里需要多次尝试。
+    try:
+        repo = Repo()
+    except git.exc.InvalidGitRepositoryError:
+        try:
+            repo = Repo(path="QQChannelChatGPT")  
+        except git.exc.InvalidGitRepositoryError:
+            repo = Repo(path="AstrBot")
+    if not repo:
+        raise Exception("在已知的目录下未找到项目位置。请联系项目维护者。")
+    return repo
+    
+def request_release_info(latest: bool = True) -> list:
+    '''
+    请求版本信息。
+    返回一个列表，每个元素是一个字典，包含版本号、发布时间、更新内容、commit hash等信息。
+    '''
+    api_url1 = "https://api.github.com/repos/Soulter/AstrBot/releases"
+    api_url2 = "https://api.soulter.top/releases" # 0-10 分钟的缓存时间
+    try:
+        result = requests.get(api_url2).json()
+    except BaseException as e:
+        result = requests.get(api_url1).json()
+    try:
+        if latest:
+            ret = github_api_release_parser([result[0]])
+        else:
+            ret = github_api_release_parser(result)
+    except BaseException as e:
+        raise Exception(f"解析版本信息失败: {result}")
+    return ret
+        
+def github_api_release_parser(releases: list) -> list:
+    '''
+    解析 GitHub API 返回的 releases 信息。
+    返回一个列表，每个元素是一个字典，包含版本号、发布时间、更新内容、commit hash等信息。
+    '''
+    ret = []
+    for release in releases:
+        version = release['name']
+        commit_hash = ''
+        # 规范是: v3.0.7.xxxxxx，其中xxxxxx为 commit hash
+        _t = version.split(".")
+        if len(_t) == 4:
+            commit_hash = _t[3]
+        ret.append({
+            "version": release['name'],
+            "published_at": release['published_at'],
+            "body": release['body'],
+            "commit_hash": commit_hash,
+            "tag_name": release['tag_name']
+        })
+    return ret
+
+def check_update() -> str:
+    repo = find_repo()
+    curr_commit = repo.commit().hexsha
+    update_data = request_release_info()
+    new_commit = update_data[0]['commit_hash']
+    print(f"当前版本: {curr_commit}")
+    print(f"最新版本: {new_commit}")
+    if curr_commit.startswith(new_commit):
+        return "当前已经是最新版本。"
+    else:
+        update_info = f"""有新版本可用。
+=== 当前版本 ===
+{curr_commit}
+
+=== 新版本 ===
+{update_data[0]['version']}
+
+=== 发布时间 ===
+{update_data[0]['published_at']}
+
+=== 更新内容 ===
+{update_data[0]['body']}"""
+        return update_info
+    
+def update_project(update_data: list,
+                   reboot: bool = False, 
+                   latest: bool = True,
+                   version: str = ''):
+    repo = find_repo()
+    # update_data = request_release_info(latest)
+    if latest:
+        # 检查本地commit和最新commit是否一致
+        curr_commit = repo.head.commit.hexsha
+        new_commit = update_data[0]['commit_hash']
+        if curr_commit == '':
+            raise Exception("无法获取当前版本号对应的版本位置。请联系项目维护者。")
+        if curr_commit.startswith(new_commit):
+            raise Exception("当前已经是最新版本。")
+        else:
+            # 更新到最新版本对应的commit
+            try:
+                repo.git.fetch()
+                repo.git.checkout(update_data[0]['tag_name'])
+                if reboot: _reboot()
+            except BaseException as e:
+                raise e
+    else:
+        # 更新到指定版本
+        flag = False
+        print(f"请求更新到指定版本: {version}")
+        for data in update_data:
+            if data['tag_name'] == version:
+                try:
+                    repo.git.fetch()
+                    repo.git.checkout(data['tag_name'])
+                    flag = True
+                    if reboot: _reboot()
+                except BaseException as e:
+                    raise e
+        if not flag:
+            raise Exception("未找到指定版本。")
+    
+def checkout_branch(branch_name: str):
+    repo = find_repo()
+    try:
+        repo.git.fetch()
+        repo.git.checkout(branch_name)
+        repo.git.pull("origin", branch_name, "-f")
+        return True
+    except BaseException as e:
+        raise e