fix: 修复带空格路径导致的重启失败

feat: 新增 Provider 注册接口；新增 provider 指令

.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
+data/*
+cookies.json
+logs/
+addons/plugins

.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-slim
+WORKDIR /AstrBot
+
+COPY . /AstrBot/
+
+RUN python -m pip install -r requirements.txt
+
+CMD [ "python", "main.py" ]

README.md

@@ -1,108 +1,51 @@
-<div align="center">
- 
-![QQChannelChatGPT](https://socialify.git.ci/Soulter/QQChannelChatGPT/image?description=1&font=Inter&forks=1&issues=1&language=1&name=1&logo=https%3A%2F%2Fgithub.com%2Ftencent-connect%2Fbot-docs%2Fblob%2Fmain%2Fdocs%2F.vuepress%2Fpublic%2Ffavicon-64px.png%3Fraw%3Dtrue&owner=1&pattern=Plus&stargazers=1&theme=Light)
+<p align="center">
 
+<img width="806" alt="image" src="https://github.com/Soulter/AstrBot/assets/37870767/c6f057d9-46d7-4144-8116-00a962941746">
+
+</p>
+<div align="center">
+
+[![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>
+
+<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>
 
-## ⭐体验
-扫码加入QQ频道
+## 🛠️ 功能
 
-![image](https://user-images.githubusercontent.com/37870767/210030647-c4c00f31-8ccc-4bd2-835a-b5af9ab31496.png)
+🌍 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）
+- WeChat(微信) (由 [astrbot_plugin_vchat](https://github.com/z2z63/astrbot_plugin_vchat) 插件支持)
 
-欢迎Star本项目
- 
+🌍 支持的大模型一览：
 
-## ⭐功能：
+- OpenAI GPT、DallE 系列
+- Claude（由[LLMs插件](https://github.com/Soulter/llms)支持）
+- HuggingChat（由[LLMs插件](https://github.com/Soulter/llms)支持）
+- Gemini（由[LLMs插件](https://github.com/Soulter/llms)支持）
 
-### 基本功能
-<details> 
- <summary>✅ 回复符合上下文</summary>
+🌍 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（Markdown）
 
-   -  程序向API发送近多次对话内容，模型根据上下文生成回复
+## 🧩 插件支持
 
-   -  你可在`configs/config.yaml`中修改`total_token_limit`来近似控制缓存大小。
- </details> 
+有关插件的使用和列表请移步：[AstrBot 文档 - 插件](https://astrbot.soulter.top/center/docs/%E4%BD%BF%E7%94%A8/%E6%8F%92%E4%BB%B6)
 
-<details> 
- <summary>✅ 超额自动切换</summary>
+## ✨ Demo
 
-   -  超额时，程序自动切换openai的key，方便快捷
-   
-</details>
+<img width="900" alt="image" src="https://github.com/Soulter/AstrBot/assets/37870767/824d1ff3-7b85-481c-b795-8e62dedb9fd7">
 
-<details> 
 
- <summary>✅ 支持统计频道、消息数量等信息</summary> 
 
-   -  实现了简单的统计功能
-
- </details>
-
-<details> 
- <summary>✅ 多并发处理，回复速度快</summary> 
-  
-   -  使用了协程，理论最高可以支持每个子频道每秒回复5条信息
-  
- </details>
-
-<details>
- <summary>✅ 持久化转储历史记录，重启不丢失</summary> 
-
-   -  使用内置的sqlite数据库存储历史记录到本地
-
-   -  方式为定时转储，可在`config.yaml`下修改`dump_history_interval`来修改间隔时间，单位为分钟。
-  
- </details>
-
-<details> 
- <summary>✅ 支持指令控制</summary> 
-  
-   -  详见下方`指令功能`
-  
- </details>
-
-<details>
-<summary>✅ 官方API，稳定</summary>
-
-   -  不使用ChatGPT逆向接口，而使用官方API接口，稳定方便。
-
-   -  QQ频道机器人框架为QQ官方开源的框架，稳定。
-
-</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
-- `/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
-
-## 📰使用方法：
-
-### 安装第三方库
-
-使用Python的pip工具安装
-- `qq-botpy` （QQ频道官方Python SDK）
-- `openai` (OpenAI 库)
-
-> ⚠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
-
-### 配置
-
-- 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
-
-### 启动
-- 启动main.py
-
-## 赞助
-⭐[爱发电](https://afdian.net/a/soulter)⭐
-
-## DEMO
-![1.jpg](screenshots/1.jpg)
-![3.jpg](screenshots/3.jpg)
-![2.jpg](screenshots/2.jpg)

addons/plugins/helloworld/README.md

@@ -0,0 +1,10 @@
+# helloworld
+
+AstrBot 插件模板
+
+A template plugin for AstrBot plugin feature
+
+# 支持
+
+[帮助文档](https://astrbot.soulter.top/center/docs/%E5%BC%80%E5%8F%91/%E6%8F%92%E4%BB%B6%E5%BC%80%E5%8F%91/
+)

addons/plugins/helloworld/REPO

@@ -0,0 +1 @@
+https://github.com/Soulter/helloworld

addons/plugins/helloworld/main.py

@@ -0,0 +1,32 @@
+flag_not_support = False
+try:
+    from util.plugin_dev.api.v1.bot import Context, AstrMessageEvent, CommandResult
+    from util.plugin_dev.api.v1.config import *
+except ImportError:
+    flag_not_support = True
+    print("导入接口失败。请升级到 AstrBot 最新版本。")
+
+'''
+注意以格式 XXXPlugin 或 Main 来修改插件名。
+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:
+    """
+    AstrBot 会传递 context 给插件。
+    
+    - context.register_commands: 注册指令
+    - context.register_task: 注册任务
+    - context.message_handler: 消息处理器(平台类插件用)
+    """
+    def __init__(self, context: Context) -> None:
+        self.context = context
+        self.context.register_commands("helloworld", "helloworld", "内置测试指令。", 1, self.helloworld)
+
+    """
+    指令处理函数。
+    
+    - 需要接收两个参数：message: AstrMessageEvent, context: Context
+    - 返回 CommandResult 对象
+    """
+    def helloworld(self, message: AstrMessageEvent, context: Context):
+        return CommandResult().message("Hello, World!")

addons/plugins/helloworld/metadata.yaml

@@ -0,0 +1,6 @@
+name: helloworld # 这是你的插件的唯一识别名。
+desc: 这是 AstrBot 的默认插件。
+help: 
+version: v1.3 # 插件版本号。格式：v1.1.1 或者 v1.1
+author: Soulter # 作者
+repo: https://github.com/Soulter/helloworld # 插件的仓库地址

astrbot/bootstrap.py

@@ -0,0 +1,114 @@
+import asyncio
+import traceback
+from astrbot.message.handler import MessageHandler
+from astrbot.persist.helper import dbConn
+from dashboard.server import AstrBotDashBoard
+from model.provider.provider import Provider
+from model.command.manager import CommandManager
+from model.command.internal_handler import InternalCommandHandler
+from model.plugin.manager import PluginManager
+from model.platform.manager import PlatformManager
+from typing import Dict, List, Union
+from type.types import Context
+from SparkleLogging.utils.core import LogManager
+from logging import Logger
+from util.cmd_config import CmdConfig
+from util.metrics import MetricUploader
+from util.config_utils import *
+from util.updator.astrbot_updator import AstrBotUpdator
+
+logger: Logger = LogManager.GetLogger(log_name='astrbot')
+
+
+class AstrBotBootstrap():
+    def __init__(self) -> None:        
+        self.context = Context()
+        self.config_helper: CmdConfig = CmdConfig()
+        
+        # load configs and ensure the backward compatibility
+        init_configs()
+        try_migrate_config()
+        self.configs = inject_to_context(self.context)
+        logger.info("AstrBot v" + self.context.version)
+        self.context.config_helper = self.config_helper
+        
+        # apply proxy settings
+        http_proxy = self.context.base_config.get("http_proxy")
+        https_proxy = self.context.base_config.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'
+        
+        if http_proxy and https_proxy:
+            logger.info(f"使用代理: {http_proxy}, {https_proxy}")
+        else:
+            logger.info("未使用代理。")
+    
+    async def run(self):
+        self.command_manager = CommandManager()
+        self.plugin_manager = PluginManager(self.context)
+        self.updator = AstrBotUpdator()
+        self.cmd_handler = InternalCommandHandler(self.command_manager, self.plugin_manager)
+        self.db_conn_helper = dbConn()
+        
+        # load llm provider
+        self.llm_instance: Provider = None
+        self.load_llm()
+        
+        self.message_handler = MessageHandler(self.context, self.command_manager, self.db_conn_helper, self.llm_instance)
+        self.platfrom_manager = PlatformManager(self.context, self.message_handler)
+        self.dashboard = AstrBotDashBoard(self.context, plugin_manager=self.plugin_manager, astrbot_updator=self.updator)
+        self.metrics_uploader = MetricUploader(self.context)
+        
+        self.context.metrics_uploader = self.metrics_uploader
+        self.context.updator = self.updator
+        self.context.plugin_updator = self.plugin_manager.updator
+        self.context.message_handler = self.message_handler
+        
+        # load plugins, plugins' commands.
+        self.load_plugins()
+        self.command_manager.register_from_pcb(self.context.plugin_command_bridge)
+        
+        # load platforms
+        platform_tasks = self.load_platform()
+        # load metrics uploader
+        metrics_upload_task = asyncio.create_task(self.metrics_uploader.upload_metrics(), name="metrics-uploader")
+        # load dashboard
+        self.dashboard.run_http_server()
+        dashboard_task = asyncio.create_task(self.dashboard.ws_server(), name="dashboard")
+        tasks = [metrics_upload_task, dashboard_task, *platform_tasks, *self.context.ext_tasks]
+        tasks = [self.handle_task(task) for task in tasks]
+        await asyncio.gather(*tasks)
+
+    async def handle_task(self, task: Union[asyncio.Task, asyncio.Future]):
+        while True:
+            try:
+                result = await task
+                return result
+            except Exception as e:
+                logger.error(traceback.format_exc())
+                logger.error(f"{task.get_name()} 任务发生错误，将在 5 秒后重试。")
+                await asyncio.sleep(5)
+    
+    def load_llm(self):
+        if 'openai' in self.configs and \
+            len(self.configs['openai']['key']) and \
+            self.configs['openai']['key'][0] is not None:
+            from model.provider.openai_official import ProviderOpenAIOfficial
+            from model.command.openai_official_handler import OpenAIOfficialCommandHandler
+            self.openai_command_handler = OpenAIOfficialCommandHandler(self.command_manager)
+            self.llm_instance = ProviderOpenAIOfficial(self.context)
+            self.openai_command_handler.set_provider(self.llm_instance)
+            self.context.register_provider("internal_openai", self.llm_instance)
+            logger.info("已启用 OpenAI API 支持。")
+    
+    def load_plugins(self):
+        self.plugin_manager.plugin_reload()
+    
+    def load_platform(self):
+        platforms = self.platfrom_manager.load_platforms()
+        if not platforms:
+            logger.warn("未启用任何消息平台。")
+        return platforms

astrbot/message/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

astrbot/message/handler.py

@@ -0,0 +1,204 @@
+import time
+import re
+import asyncio
+import traceback
+import astrbot.message.unfit_words as uw
+
+from typing import Dict
+from astrbot.persist.helper import dbConn
+from model.provider.provider import Provider
+from model.command.manager import CommandManager
+from type.message_event import AstrMessageEvent, MessageResult
+from type.types import Context
+from type.command import CommandResult
+from SparkleLogging.utils.core import LogManager
+from logging import Logger
+from nakuru.entities.components import Image
+import util.agent.web_searcher as web_searcher
+
+logger: Logger = LogManager.GetLogger(log_name='astrbot')
+
+
+class RateLimitHelper():
+    def __init__(self, context: Context) -> None:
+        self.user_rate_limit: Dict[int, int] = {}
+        self.rate_limit_time: int = 60
+        self.rate_limit_count: int = 10
+        self.user_frequency = {}
+        
+        if 'limit' in context.base_config:
+            if 'count' in context.base_config['limit']:
+                self.rate_limit_count = context.base_config['limit']['count']
+            if 'time' in context.base_config['limit']:
+                self.rate_limit_time = context.base_config['limit']['time']
+    
+    def check_frequency(self, session_id: str) -> bool:
+        '''
+        检查发言频率
+        '''
+        ts = int(time.time())
+        if session_id in self.user_frequency:
+            if ts-self.user_frequency[session_id]['time'] > self.rate_limit_time:
+                self.user_frequency[session_id]['time'] = ts
+                self.user_frequency[session_id]['count'] = 1
+                return True
+            else:
+                if self.user_frequency[session_id]['count'] >= self.rate_limit_count:
+                    return False
+                else:
+                    self.user_frequency[session_id]['count'] += 1
+                    return True
+        else:
+            t = {'time': ts, 'count': 1}
+            self.user_frequency[session_id] = t
+            return True
+
+class ContentSafetyHelper():
+    def __init__(self, context: Context) -> None:
+        self.baidu_judge = None
+        if 'baidu_api' in context.base_config and \
+            'enable' in context.base_config['baidu_aip'] and \
+            context.base_config['baidu_aip']['enable']:
+            try:
+                from astrbot.message.baidu_aip_judge import BaiduJudge
+                self.baidu_judge = BaiduJudge(context.base_config['baidu_aip'])
+                logger.info("已启用百度 AI 内容审核。")
+            except BaseException as e:
+                logger.error("百度 AI 内容审核初始化失败。")
+                logger.error(e)
+                
+    async def check_content(self, content: str) -> bool:
+        '''
+        检查文本内容是否合法
+        '''
+        for i in uw.unfit_words_q:
+            matches = re.match(i, content.strip(), re.I | re.M)
+            if matches:
+                return False
+        if self.baidu_judge != None:
+            check, msg = await asyncio.to_thread(self.baidu_judge.judge, content)
+            if not check:
+                logger.info(f"百度 AI 内容审核发现以下违规：{msg}")
+                return False
+        return True
+    
+    def filter_content(self, content: str) -> str:
+        '''
+        过滤文本内容
+        '''
+        for i in uw.unfit_words_q:
+            content = re.sub(i, "*", content, flags=re.I)
+        return content
+    
+    def baidu_check(self, content: str) -> bool:
+        '''
+        使用百度 AI 内容审核检查文本内容是否合法
+        '''
+        if self.baidu_judge != None:
+            check, msg = self.baidu_judge.judge(content)
+            if not check:
+                logger.info(f"百度 AI 内容审核发现以下违规：{msg}")
+                return False
+        return True
+
+class MessageHandler():
+    def __init__(self, context: Context,
+                 command_manager: CommandManager,
+                 persist_manager: dbConn,
+                 provider: Provider) -> None:
+        self.context = context
+        self.command_manager = command_manager
+        self.persist_manager = persist_manager
+        self.rate_limit_helper = RateLimitHelper(context)
+        self.content_safety_helper = ContentSafetyHelper(context)
+        self.llm_wake_prefix = self.context.base_config['llm_wake_prefix']
+        self.nicks = self.context.nick
+        self.provider = provider
+        self.reply_prefix = self.context.reply_prefix
+    
+    def set_provider(self, provider: Provider):
+        self.provider = provider
+
+    async def handle(self, message: AstrMessageEvent, llm_provider: Provider = None) -> MessageResult:
+        '''
+        Handle the message event, including commands, plugins, etc.
+        
+        `llm_provider`: the provider to use for LLM. If None, use the default provider
+        '''
+        msg_plain = message.message_str.strip()
+        provider = llm_provider if llm_provider else self.provider
+        inner_provider = False if llm_provider else True
+        
+        self.persist_manager.record_message(message.platform.platform_name, message.session_id)
+        
+        # TODO: this should be configurable
+        if not message.message_str:
+            return MessageResult("Hi~")
+        
+        # check the rate limit
+        if not self.rate_limit_helper.check_frequency(message.message_obj.sender.user_id):
+            return MessageResult(f'你的发言超过频率限制(╯▔皿▔)╯。\n管理员设置 {self.rate_limit_helper.rate_limit_time} 秒内只能提问{self.rate_limit_helper.rate_limit_count} 次。')
+
+        # remove the nick prefix
+        for nick in self.nicks:
+            if msg_plain.startswith(nick):
+                msg_plain = msg_plain.removeprefix(nick)
+                break
+            
+        # scan candidate commands
+        cmd_res = await self.command_manager.scan_command(message, self.context)
+        if cmd_res:
+            assert(isinstance(cmd_res, CommandResult))
+            return MessageResult(
+                cmd_res.message_chain,
+                is_command_call=True,
+                use_t2i=cmd_res.is_use_t2i
+            )
+        
+        # check if the message is a llm-wake-up command
+        if not msg_plain.startswith(self.llm_wake_prefix):
+            return
+        
+        if not provider:
+            return
+        
+        # check the content safety
+        if not await self.content_safety_helper.check_content(msg_plain):
+            return MessageResult("信息包含违规内容，由于机器人管理者开启内容安全审核，你的此条消息已被停止继续处理。")
+        
+        image_url = None
+        for comp in message.message_obj.message:
+            if isinstance(comp, Image):
+                image_url = comp.url if comp.url else comp.file
+                break
+        web_search = self.context.web_search
+        if not web_search and msg_plain.startswith("ws"):
+            # leverage web search feature
+            web_search = True
+            msg_plain = msg_plain.removeprefix("ws").strip()
+        
+        try:
+            if web_search:
+                llm_result = await web_searcher.web_search(msg_plain, provider, message.session_id, inner_provider)
+            else:
+                llm_result = await provider.text_chat(
+                    prompt=msg_plain, 
+                    session_id=message.session_id, 
+                    image_url=image_url
+                )
+        except BaseException as e:
+            logger.error(traceback.format_exc())
+            logger.error(f"LLM 调用失败。")
+            return MessageResult("AstrBot 请求 LLM 资源失败：" + str(e))
+        
+        # concatenate the reply prefix
+        if self.reply_prefix:
+            llm_result = self.reply_prefix + llm_result
+        
+        # mask the unsafe content
+        llm_result = self.content_safety_helper.filter_content(llm_result)
+        check = self.content_safety_helper.baidu_check(llm_result)
+        if not check:
+            return MessageResult("LLM 输出的信息包含违规内容，由于机器人管理者开启了内容安全审核，该条消息已拦截。")
+        
+        return MessageResult(llm_result)

astrbot/message/unfit_words.py

@@ -0,0 +1,114 @@
+# 网上搜集的。
+# 来源词拦截
+# 支持正则
+unfit_words_q = ["习近平",
+                 "胡锦涛",
+                 "江泽民",
+                 "温家宝",
+                 "李克强",
+                 "李长春",
+                 "毛泽东",
+                 "邓小平",
+                 "周恩来",
+                 "社会主义",
+                 "共产党",
+                 "共产主义",
+                 "大陆官方",
+                 "北京政权",
+                 "中华帝国",
+                 "中国政府",
+                 "共狗",
+                 "六四事件",
+                 "天安门",
+                 "六四",
+                 "政治局常委",
+                 "学潮",
+                 "八九",
+                 "二十大",
+                 "民进党",
+                 "台独",
+                 "台湾独立",
+                 "台湾国",
+                 "国民党",
+                 "台湾民国",
+                 "中华民国",
+                 "pornhub",
+                 "Pornhub",
+                 "作爱",
+                 "做爱",
+                 "性交",
+                 "自慰",
+                 "阴茎",
+                 "淫妇",
+                 "肛交",
+                 "交配",
+                 "性关系",
+                 "性活动",
+                 "色情",
+                 "色图",
+                 "裸体",
+                 "小穴",
+                 "淫荡",
+                 "性爱",
+                 "港独",
+                 "法轮功",
+                 "六四"]
+
+# 回复词过滤
+unfit_words = ["习近平",
+               "胡锦涛",
+               "江泽民",
+               "温家宝",
+               "李克强",
+               "李长春",
+               "毛泽东",
+               "邓小平",
+               "周恩来",
+               "社会主义",
+               "共产党",
+               "共产主义",
+               "大陆官方",
+               "北京政权",
+               "中华帝国",
+               "中国政府",
+               "共狗",
+               "六四事件",
+               "天安门",
+               "六四",
+               "政治局常委",
+               "学潮",
+               "八九",
+               "二十大",
+               "民进党",
+               "台独",
+               "台湾独立",
+               "台湾国",
+               "国民党",
+               "台湾民国",
+               "中华民国",
+               "pornhub",
+               "Pornhub",
+               "作爱",
+               "做爱",
+               "性交",
+               "自慰",
+               "阴茎",
+               "淫妇",
+               "肛交",
+               "交配",
+               "性关系",
+               "性活动",
+               "色情",
+               "色图",
+               "涩图",
+               "裸体",
+               "小穴",
+               "淫荡",
+               "性爱",
+               "中华人民共和国",
+               "党中央",
+               "中央军委主席",
+               "台湾",
+               "港独",
+               "法轮功",
+               "PRC"]

astrbot/persist/helper.py

@@ -0,0 +1,269 @@
+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)
+        with open(os.path.dirname(__file__) + "/initialization.sql", "r") as f:
+            sql = f.read()
+
+        self.conn = sqlite3.connect(db_path)
+        self.conn.text_factory = str        
+        c = self.conn.cursor()
+        c.executescript(sql)
+        self.conn.commit()
+        
+    def record_message(self, platform, session_id):
+        curr_ts = int(time.time())
+        self.increment_stat_session(platform, session_id, 1)
+        self.increment_stat_message(curr_ts, 1)
+        self.increment_stat_platform(curr_ts, platform, 1)
+
+    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()

astrbot/persist/initialization.sql

@@ -0,0 +1,18 @@
+CREATE TABLE IF NOT EXISTS tb_session(
+    qq_id   VARCHAR(32) PRIMARY KEY,
+    history TEXT
+);
+CREATE TABLE IF NOT EXISTS tb_stat_session(
+    platform VARCHAR(32),
+    session_id VARCHAR(32),
+    cnt INTEGER
+);
+CREATE TABLE IF NOT EXISTS tb_stat_message(
+    ts INTEGER,
+    cnt INTEGER
+);
+CREATE TABLE IF NOT EXISTS tb_stat_platform(
+    ts INTEGER,
+    platform VARCHAR(32),
+    cnt INTEGER
+);

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 +0,0 @@
-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
-
-qqbot:
-  appid: 
-  token: 
-
-# 设置是否一个人一个会话
-uniqueSessionMode: false
-
-# QChannelBot 的版本
-version: 1.7 beta
-
-# [Beta] 转储历史记录时间间隔(分钟)
-dump_history_interval: 10

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

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

cores/qqbot/core.py

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

dashboard/__init__.py

@@ -0,0 +1,11 @@
+from dataclasses import dataclass
+
+class DashBoardData():
+    stats: dict = {}
+    configs: dict = {}
+
+@dataclass
+class Response():
+    status: str
+    message: str
+    data: dict

dashboard/dist/_redirects

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

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

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

dashboard/dist/assets/BaseBreadcrumb.vue_vue_type_style_index_0_lang-1875d383.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,ae as p,B as n,af as o,j as f}from"./index-5ac7c267.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 _};

dashboard/dist/assets/BlankLayout-471b2640.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-5ac7c267.js";const f=e({__name:"BlankLayout",setup(p){return(u,_)=>(a(),t(c,null,{default:o(()=>[s(n(r))]),_:1}))}});export{f as default};

dashboard/dist/assets/ColorPage-beafd674.js

@@ -0,0 +1 @@
+import{_ as m}from"./BaseBreadcrumb.vue_vue_type_style_index_0_lang-1875d383.js";import{_}from"./UiParentCard.vue_vue_type_script_setup_true_lang-b40a2daa.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-5ac7c267.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};

dashboard/dist/assets/ConfigDetailCard-756c045d.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 d,R as k,F as t,ac as h,O as p,t as m,a as V,ad as f,i as C,q as x,k as v,A as U}from"./index-5ac7c267.js";import{_ as w}from"./UiParentCard.vue_vue_type_script_setup_true_lang-b40a2daa.js";const S={__name:"ConfigDetailCard",props:{config:Array},setup(s){return(y,B)=>(l(!0),o(t,null,c(s.config,r=>(l(),n(w,{key:r.name,title:r.name,style:{"margin-bottom":"16px"}},{default:u(()=>[g(d("a",null,"No data",512),[[k,s.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},[d("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(()=>[d("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 _};

dashboard/dist/assets/ConfigPage-56ea019d.js

@@ -0,0 +1 @@
+import{_ as b}from"./UiParentCard.vue_vue_type_script_setup_true_lang-b40a2daa.js";import{x as h,o,c as u,w as t,a,a8 as y,b as c,K as x,e as f,t as g,G as V,A as w,L as S,a9 as $,J as B,s as _,d as v,F as d,u as p,f as G,V as T,ab as j,T as l}from"./index-5ac7c267.js";import{_ as m}from"./ConfigDetailCard-756c045d.js";const D={class:"d-sm-flex align-center justify-space-between"},C=h({__name:"ConfigGroupCard",props:{title:String},setup(e){const s=e;return(i,n)=>(o(),u(B,{variant:"outlined",elevation:"0",class:"withbg",style:{width:"50%"}},{default:t(()=>[a(y,{style:{padding:"10px 20px"}},{default:t(()=>[c("div",D,[a(x,null,{default:t(()=>[f(g(s.title),1)]),_:1}),a(V)])]),_:1}),a(w),a(S,null,{default:t(()=>[$(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:b,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};

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}

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}

dashboard/dist/assets/Error404Page-bcb6eec8.js

@@ -0,0 +1 @@
+import{_ as a}from"./_plugin-vue_export-helper-c27b6911.js";import{o,c,w as s,V as i,a as t,b as e,d as l,e as r,f as d}from"./index-5ac7c267.js";const n="/assets/img-error-bg-41f65efa.svg",_="/assets/img-error-blue-f50c8e77.svg",m="/assets/img-error-text-630dc36d.svg",g="/assets/img-error-purple-b97a483b.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,[r("The page you are looking was moved, removed, "),e("br"),r("renamed, or might never exist! ")])],-1);function x(b,V){return o(),c(i,{"no-gutters":"",class:"h-100vh"},{default:s(()=>[t(d,{class:"d-flex align-center justify-center"},{default:s(()=>[e("div",u,[f,h,v,t(l,{variant:"flat",color:"primary",class:"mt-4",to:"/","prepend-icon":"mdi-home"},{default:s(()=>[r(" Home")]),_:1})])]),_:1})]),_:1})}const C=a(p,[["render",x]]);export{C as default};

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}

dashboard/dist/assets/LogoDark.vue_vue_type_script_setup_true_lang-d555e5be.js

@@ -0,0 +1 @@
+import{aw 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,ax as h}from"./index-5ac7c267.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};

dashboard/dist/assets/MaterialIcons-a926bc0c.js

@@ -0,0 +1 @@
+import{_ as o}from"./BaseBreadcrumb.vue_vue_type_style_index_0_lang-1875d383.js";import{_ as i}from"./UiParentCard.vue_vue_type_script_setup_true_lang-b40a2daa.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-5ac7c267.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};

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}

dashboard/dist/assets/RegisterPage-a274fd0f.js

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+import{_ as B}from"./LogoDark.vue_vue_type_script_setup_true_lang-d555e5be.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 $,d as u,f as d,A as _,e as f,V as r,O as m,aq as q,av as A,F as E,c as F,N as T,J as V,L as P}from"./index-5ac7c267.js";const z="/assets/social-google-9b2fa67a.svg",N=["src"],S=n("span",{class:"ml-2"},"Sign up with Google",-1),D=n("h5",{class:"text-h5 text-center my-4 mb-8"},"Sign up with Email address",-1),G={class:"d-sm-inline-flex align-center mt-2 mb-7 mb-sm-0 font-weight-bold"},L=n("a",{href:"#",class:"ml-1 text-lightText"},"Terms and Condition",-1),O={class:"mt-5 text-right"},j=y({__name:"AuthRegister",setup(w){const c=o(!1),i=o(!1),p=o(""),v=o(""),g=o(),h=o(""),x=o(""),k=o([s=>!!s||"Password is required",s=>s&&s.length<=10||"Password must be less than 10 characters"]),C=o([s=>!!s||"E-mail is required",s=>/.+@.+\..+/.test(s)||"E-mail must be valid"]);function R(){g.value.validate()}return(s,l)=>(b(),U(E,null,[e(u,{block:"",color:"primary",variant:"outlined",class:"text-lightText googleBtn"},{default:a(()=>[n("img",{src:$(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(A,{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(q,{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(),F(r,{class:"h-100vh","no-gutters":""},{default:a(()=>[e(d,{cols:"12",class:"d-flex align-center bg-lightprimary"},{default:a(()=>[e(T,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};

dashboard/dist/assets/ShadowPage-4758709f.js

@@ -0,0 +1 @@
+import{_ as c}from"./BaseBreadcrumb.vue_vue_type_style_index_0_lang-1875d383.js";import{_ as f}from"./UiParentCard.vue_vue_type_script_setup_true_lang-b40a2daa.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-5ac7c267.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};

dashboard/dist/assets/TablerIcons-da1fd166.js

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+import{_ as o}from"./BaseBreadcrumb.vue_vue_type_style_index_0_lang-1875d383.js";import{_ as n}from"./UiParentCard.vue_vue_type_script_setup_true_lang-b40a2daa.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-5ac7c267.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};

dashboard/dist/assets/TypographyPage-ee445c8b.js

@@ -0,0 +1 @@
+import{_ as m}from"./BaseBreadcrumb.vue_vue_type_style_index_0_lang-1875d383.js";import{_ as v}from"./UiParentCard.vue_vue_type_script_setup_true_lang-b40a2daa.js";import{x as f,o as i,c as g,w as e,a,a8 as y,K as b,e as w,t as d,A as C,L as V,a9 as L,J as _,D as o,s as h,f as k,b as t,F as x,u as B,X as H,V as T}from"./index-5ac7c267.js";const s=f({__name:"UiChildCard",props:{title:String},setup(r){const l=r;return(n,c)=>(i(),g(_,{variant:"outlined"},{default:e(()=>[a(y,{class:"py-3"},{default:e(()=>[a(b,{class:"text-h5"},{default:e(()=>[w(d(l.title),1)]),_:1})]),_:1}),a(C),a(V,null,{default:e(()=>[L(n.$slots,"default")]),_:3})]),_:3}))}}),D={class:"d-flex flex-column gap-1"},S={class:"text-caption pa-2 bg-lightprimary"},z=t("div",{class:"text-grey"},"Class",-1),N={class:"font-weight-medium"},$=t("div",null,[t("p",{class:"text-left"},"Left aligned on all viewport sizes."),t("p",{class:"text-center"},"Center aligned on all viewport sizes."),t("p",{class:"text-right"},"Right aligned on all viewport sizes."),t("p",{class:"text-sm-left"},"Left aligned on viewports SM (small) or wider."),t("p",{class:"text-right text-md-left"},"Left aligned on viewports MD (medium) or wider."),t("p",{class:"text-right text-lg-left"},"Left aligned on viewports LG (large) or wider."),t("p",{class:"text-right text-xl-left"},"Left aligned on viewports XL (extra-large) or wider.")],-1),M=t("div",{class:"d-flex justify-space-between flex-row"},[t("a",{href:"#",class:"text-decoration-none"},"Non-underlined link"),t("div",{class:"text-decoration-line-through"},"Line-through text"),t("div",{class:"text-decoration-overline"},"Overline text"),t("div",{class:"text-decoration-underline"},"Underline text")],-1),O=t("div",null,[t("p",{class:"text-high-emphasis"},"High-emphasis has an opacity of 87% in light theme and 100% in dark."),t("p",{class:"text-medium-emphasis"},"Medium-emphasis text and hint text have opacities of 60% in light theme and 70% in dark."),t("p",{class:"text-disabled"},"Disabled text has an opacity of 38% in light theme and 50% in dark.")],-1),j=f({__name:"TypographyPage",setup(r){const l=o({title:"Typography Page"}),n=o([["Heading 1","text-h1"],["Heading 2","text-h2"],["Heading 3","text-h3"],["Heading 4","text-h4"],["Heading 5","text-h5"],["Heading 6","text-h6"],["Subtitle 1","text-subtitle-1"],["Subtitle 2","text-subtitle-2"],["Body 1","text-body-1"],["Body 2","text-body-2"],["Button","text-button"],["Caption","text-caption"],["Overline","text-overline"]]),c=o([{title:"Utilities",disabled:!1,href:"#"},{title:"Typography",disabled:!0,href:"#"}]);return(U,F)=>(i(),h(x,null,[a(m,{title:l.value.title,breadcrumbs:c.value},null,8,["title","breadcrumbs"]),a(T,null,{default:e(()=>[a(k,{cols:"12",md:"12"},{default:e(()=>[a(v,{title:"Basic Typography"},{default:e(()=>[a(s,{title:"Heading"},{default:e(()=>[t("div",D,[(i(!0),h(x,null,B(n.value,([p,u])=>(i(),g(_,{variant:"outlined",key:p,class:"my-4"},{default:e(()=>[t("div",{class:H([u,"pa-2"])},d(p),3),t("div",S,[z,t("div",N,d(u),1)])]),_:2},1024))),128))])]),_:1}),a(s,{title:"Text-alignment",class:"mt-8"},{default:e(()=>[$]),_:1}),a(s,{title:"Decoration",class:"mt-8"},{default:e(()=>[M]),_:1}),a(s,{title:"Opacity",class:"mt-8"},{default:e(()=>[O]),_:1})]),_:1})]),_:1})]),_:1})],64))}});export{j as default};

dashboard/dist/assets/UiParentCard.vue_vue_type_script_setup_true_lang-b40a2daa.js

@@ -0,0 +1 @@
+import{x as n,o,c as i,w as e,a,a8 as d,b as c,K as u,e as p,t as _,a9 as s,A as f,L as V,J as m}from"./index-5ac7c267.js";const C={class:"d-sm-flex align-center justify-space-between"},h=n({__name:"UiParentCard",props:{title:String},setup(l){const r=l;return(t,x)=>(o(),i(m,{variant:"outlined",elevation:"0",class:"withbg"},{default:e(()=>[a(d,null,{default:e(()=>[c("div",C,[a(u,null,{default:e(()=>[p(_(r.title),1)]),_:1}),s(t.$slots,"action")])]),_:3}),a(f),a(V,null,{default:e(()=>[s(t.$slots,"default")]),_:3})]),_:3}))}});export{h as _};

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

@@ -0,0 +1 @@
+const s=(t,r)=>{const o=t.__vccOpts||t;for(const[c,e]of r)o[c]=e;return o};export{s as _};

dashboard/dist/assets/img-error-bg-41f65efa.svg

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+<g opacity="0.09">
+<line y1="-0.5" x2="390.089" y2="-0.5" transform="matrix(0.866041 -0.499972 -0.866041 -0.499972 4.49127 197.53)" stroke="black"/>
+<line y1="-0.5" x2="390.089" y2="-0.5" transform="matrix(-0.866041 -0.499972 -0.866041 0.499972 342.315 387.578)" stroke="black"/>
+<line y1="-0.5" x2="390.089" y2="-0.5" transform="matrix(0.866041 -0.499972 -0.866041 -0.499972 28.0057 211.105)" stroke="black"/>
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+<line y1="-0.5" x2="390.089" y2="-0.5" transform="matrix(0.866041 -0.499972 -0.866041 -0.499972 51.52 224.68)" stroke="black"/>
+<line y1="-0.5" x2="390.089" y2="-0.5" transform="matrix(-0.866041 -0.499972 -0.866041 0.499972 389.344 360.428)" stroke="black"/>
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+<line y1="-0.5" x2="390.089" y2="-0.5" transform="matrix(-0.866041 -0.499972 -0.866041 0.499972 412.858 346.852)" stroke="black"/>
+<line y1="-0.5" x2="390.089" y2="-0.5" transform="matrix(0.866041 -0.499972 -0.866041 -0.499972 98.5488 251.83)" stroke="black"/>
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+<line y1="-0.5" x2="390.089" y2="-0.5" transform="matrix(0.866041 -0.499972 -0.866041 -0.499972 122.063 265.405)" stroke="black"/>
+<line y1="-0.5" x2="390.089" y2="-0.5" transform="matrix(-0.866041 -0.499972 -0.866041 0.499972 459.887 319.703)" stroke="black"/>
+<line y1="-0.5" x2="390.089" y2="-0.5" transform="matrix(0.866041 -0.499972 -0.866041 -0.499972 145.578 278.979)" stroke="black"/>
+<line y1="-0.5" x2="390.089" y2="-0.5" transform="matrix(-0.866041 -0.499972 -0.866041 0.499972 483.401 306.127)" stroke="black"/>
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dashboard/dist/index.html

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+<!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-5ac7c267.js"></script>
+    <link rel="stylesheet" href="/assets/index-0f1523f3.css">
+  </head>
+  <body>
+    <div id="app"></div>
+    
+  </body>
+</html>

dashboard/helper.py

@@ -0,0 +1,537 @@
+import threading
+import asyncio
+
+from . import DashBoardData
+from typing import Union, Optional
+from util.cmd_config import CmdConfig
+from dataclasses import dataclass
+from util.plugin_dev.api.v1.config import update_config
+from SparkleLogging.utils.core import LogManager
+from logging import Logger
+from type.types import Context
+
+logger: Logger = LogManager.GetLogger(log_name='astrbot')
+
+
+@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, context: Context, dashboard_data: DashBoardData):
+        dashboard_data.configs = {
+            "data": []
+        }
+        self.context = context
+        self.parse_default_config(dashboard_data, context.base_config)
+
+    # 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(官方)",
+                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="QQ(nakuru)",
+                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",
+                    ),
+                ]
+            )
+
+            qq_aiocqhttp_platform_group = DashBoardConfig(
+                config_type="group",
+                name="QQ(aiocqhttp)",
+                description="",
+                body=[
+                    DashBoardConfig(
+                        config_type="item",
+                        val_type="bool",
+                        name="启用",
+                        description="",
+                        value=config['aiocqhttp']['enable'],
+                        path="aiocqhttp.enable",
+                    ),
+                    DashBoardConfig(
+                        config_type="item",
+                        val_type="str",
+                        name="WebSocket 反向连接 host",
+                        description="",
+                        value=config['aiocqhttp']['ws_reverse_host'],
+                        path="aiocqhttp.ws_reverse_host",
+                    ),
+                    DashBoardConfig(
+                        config_type="item",
+                        val_type="int",
+                        name="WebSocket 反向连接 port",
+                        description="",
+                        value=config['aiocqhttp']['ws_reverse_port'],
+                        path="aiocqhttp.ws_reverse_port",
+                    ),
+                ]
+            )
+            
+            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,
+                qq_aiocqhttp_platform_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.context.config_helper.put_by_dot_str(key, value)
+        else:
+            update_config(namespace, key, value)

dashboard/server.py

@@ -0,0 +1,505 @@
+import websockets
+import json
+import threading
+import asyncio
+import os
+import uuid
+import logging
+import traceback
+
+from . import DashBoardData, Response
+from flask import Flask, request
+from werkzeug.serving import make_server
+from astrbot.persist.helper import dbConn
+from type.types import Context
+from typing import List
+from SparkleLogging.utils.core import LogManager
+from logging import Logger
+from dashboard.helper import DashBoardHelper
+from util.io import get_local_ip_addresses
+from model.plugin.manager import PluginManager
+from util.updator.astrbot_updator import AstrBotUpdator
+
+
+logger: Logger = LogManager.GetLogger(log_name='astrbot')
+
+
+class AstrBotDashBoard():
+    def __init__(self, context: Context, plugin_manager: PluginManager, astrbot_updator: AstrBotUpdator):
+        self.context = context
+        self.plugin_manager = plugin_manager
+        self.astrbot_updator = astrbot_updator
+        self.dashboard_data = DashBoardData()
+        self.dashboard_helper = DashBoardHelper(self.context, self.dashboard_data)
+        
+        self.dashboard_be = Flask(__name__, static_folder="dist", static_url_path="/")
+        logging.getLogger('werkzeug').setLevel(logging.ERROR)
+        self.dashboard_be.logger.setLevel(logging.ERROR)
+        
+        self.ws_clients = {}  # remote_ip: ws
+        self.loop = asyncio.get_event_loop()
+        
+        self.http_server_thread: threading.Thread = None 
+
+        @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.context.base_config.get("dashboard_username", "")
+            password = self.context.base_config.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.context.base_config("dashboard_password", "")
+            # 获得请求体
+            post_data = request.json
+            if post_data["password"] == password:
+                self.context.config_helper.put("dashboard_password", post_data["new_password"])
+                self.context.base_config['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.on_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.context.cached_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}")
+                self.plugin_manager.install_plugin(repo_url)
+                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:
+                logger.error(f"/api/extensions/install: {traceback.format_exc()}")
+                return Response(
+                    status="error",
+                    message=e.__str__(),
+                    data=None
+                ).__dict__
+            
+        @self.dashboard_be.post("/api/extensions/upload-install")
+        def upload_install_plugin():
+            try:
+                file = request.files['file']
+                print(file.filename)
+                logger.info(f"正在安装用户上传的插件 {file.filename}")
+                # save file to temp/
+                file_path = f"temp/{uuid.uuid4()}.zip"
+                file.save(file_path)
+                self.plugin_manager.install_plugin_from_file(file_path)
+                logger.info(f"安装插件 {file.filename} 成功")
+                return Response(
+                    status="success",
+                    message="安装成功~",
+                    data=None
+                ).__dict__
+            except Exception as e:
+                logger.error(f"/api/extensions/upload-install: {traceback.format_exc()}")
+                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}")
+                self.plugin_manager.uninstall_plugin(plugin_name)
+                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:
+                logger.error(f"/api/extensions/uninstall: {traceback.format_exc()}")
+                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}")
+                self.plugin_manager.update_plugin(plugin_name)
+                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:
+                logger.error(f"/api/extensions/update: {traceback.format_exc()}")
+                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).result()
+                except Exception as e:
+                    pass
+            return 'ok'
+
+        @self.dashboard_be.get("/api/check_update")
+        def get_update_info():
+            try:
+                ret = self.astrbot_updator.check_update(None, None)
+                return Response(
+                    status="success",
+                    message=str(ret) if ret is not None else "已经是最新版本了。",
+                    data={
+                        "has_new_version": ret is not None
+                    }
+                ).__dict__
+            except Exception as e:
+                logger.error(f"/api/check_update: {traceback.format_exc()}")
+                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:
+                self.astrbot_updator.update(latest=latest, version=version)
+                threading.Thread(target=self.astrbot_updator._reboot, 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:
+                logger.error(f"/api/update_project: {traceback.format_exc()}")
+                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.context.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.context.llms:
+                if llm_.llm_name == llm:
+                    try:
+                        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 on_post_configs(self, post_configs: dict):
+        try:
+            if 'base_config' in post_configs:
+                self.dashboard_helper.save_config(
+                    post_configs['base_config'], namespace='')  # 基础配置
+            self.dashboard_helper.save_config(
+                post_configs['config'], namespace=post_configs['namespace'])  # 选定配置
+            self.dashboard_helper.parse_default_config(
+                self.dashboard_data, self.context.config_helper.get_all())
+            # 重启
+            threading.Thread(target=self.astrbot_updator._reboot,
+                                args=(2, ), daemon=True).start()
+        except Exception as e:
+            raise e
+
+    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],]
+        elif namespace == "internal_platform_qq_aiocqhttp":
+            ret = [self.dashboard_data.configs['data'][6],]
+        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(官方)",
+                        "desc": "QQ官方API。支持频道、群、私聊（需获得群权限）",
+                        "namespace": "internal_platform_qq_official",
+                        "tag": ""
+                    },
+                    {
+                        "title": "QQ(nakuru)",
+                        "desc": "适用于 go-cqhttp",
+                        "namespace": "internal_platform_qq_gocq",
+                        "tag": ""
+                    },
+                    {
+                        "title": "QQ(aiocqhttp)",
+                        "desc": "适用于 Lagrange, LLBot, Shamrock 等支持反向WS的协议实现。",
+                        "namespace": "internal_platform_qq_aiocqhttp",
+                        "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.context.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
+
+    async def get_log_history(self):
+        try:
+            with open("logs/astrbot/astrbot.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
+
+    async def ws_server(self):
+        ws_server = websockets.serve(self.__handle_msg, "0.0.0.0", 6186)
+        logger.info("WebSocket 服务器已启动。")
+        await ws_server
+        
+    def http_server(self):
+        http_server = make_server(
+            '0.0.0.0', 6185, self.dashboard_be, threaded=True)
+        http_server.serve_forever()
+
+    def run_http_server(self):
+        self.http_server_thread = threading.Thread(target=self.http_server, daemon=True).start()
+        ip_address = get_local_ip_addresses()
+        ip_str = f"http://{ip_address}:6185"
+        logger.info(f"HTTP 服务器已启动，可访问: {ip_str} 等来登录可视化面板。")

main.py

@@ -1,10 +1,55 @@
-import cores.qqbot.core as qqBot
-from cores.openai.core import ChatGPT
-def main():
-    #实例化ChatGPT
-    chatgpt = ChatGPT()
-    # #执行qqBot
-    qqBot.initBot(chatgpt)
 
+import os
+import asyncio
+import sys
+import warnings
+import traceback
+from astrbot.bootstrap import AstrBotBootstrap
+from SparkleLogging.utils.core import LogManager
+from logging import Formatter
+
+warnings.filterwarnings("ignore")
+logo_tmpl = """
+     ___           _______.___________..______      .______     ______   .___________.
+    /   \         /       |           ||   _  \     |   _  \   /  __  \  |           |
+   /  ^  \       |   (----`---|  |----`|  |_)  |    |  |_)  | |  |  |  | `---|  |----`
+  /  /_\  \       \   \       |  |     |      /     |   _  <  |  |  |  |     |  |     
+ /  _____  \  .----)   |      |  |     |  |\  \----.|  |_)  | |  `--'  |     |  |     
+/__/     \__\ |_______/       |__|     | _| `._____||______/   \______/      |__|     
+                                                                                    
+"""
+    
+def main():
+    global logger
+    try:
+        import botpy, logging
+        # delete qqbotpy's logger
+        for handler in logging.root.handlers[:]:
+            logging.root.removeHandler(handler)
+
+        bootstrap = AstrBotBootstrap() 
+        asyncio.run(bootstrap.run())
+    except KeyboardInterrupt:
+        logger.info("AstrBot 已退出。")
+
+    except BaseException as e:
+        logger.error(traceback.format_exc())
+
+def check_env():
+    if not (sys.version_info.major == 3 and sys.version_info.minor >= 9):
+        logger.error("请使用 Python3.9+ 运行本项目。")
+        exit()
+        
+    os.makedirs("data/config", exist_ok=True)
+    os.makedirs("temp", exist_ok=True)
+    
 if __name__ == "__main__":
-    main()
+    check_env()
+    
+    logger = LogManager.GetLogger(
+    log_name='astrbot',
+        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)
+    main()

model/command/internal_handler.py

@@ -0,0 +1,262 @@
+import aiohttp
+
+from model.command.manager import CommandManager
+from model.plugin.manager import PluginManager
+from type.message_event import AstrMessageEvent
+from type.command import CommandResult
+from type.types import Context
+from type.config import VERSION
+from SparkleLogging.utils.core import LogManager
+from logging import Logger
+from nakuru.entities.components import Image
+
+logger: Logger = LogManager.GetLogger(log_name='astrbot')
+
+
+class InternalCommandHandler:
+    def __init__(self, manager: CommandManager, plugin_manager: PluginManager) -> None:
+        self.manager = manager
+        self.plugin_manager = plugin_manager
+        
+        self.manager.register("help", "查看帮助", 10, self.help)
+        self.manager.register("wake", "设置机器人唤醒词", 10, self.set_nick)
+        self.manager.register("update", "更新 AstrBot", 10, self.update)
+        self.manager.register("plugin", "插件管理", 10, self.plugin)
+        self.manager.register("reboot", "重启 AstrBot", 10, self.reboot)
+        self.manager.register("websearch", "网页搜索开关", 10, self.web_search)
+        self.manager.register("t2i", "文本转图片开关", 10, self.t2i_toggle)
+        self.manager.register("myid", "获取你在此平台上的ID", 10, self.myid)
+        self.manager.register("provider", "查看和切换当前使用的 LLM 资源来源", 10, self.provider)
+        
+    def provider(self, message: AstrMessageEvent, context: Context):
+        if len(context.llms) == 0:
+            return CommandResult().message("当前没有加载任何 LLM 资源。")
+
+        tokens = self.manager.command_parser.parse(message.message_str)
+        
+        if tokens.len == 1:
+            ret = "## 当前载入的 LLM 资源\n"
+            for idx, llm in enumerate(context.llms):
+                ret += f"{idx}. {llm.llm_name}"
+                if llm.origin:
+                    ret += f" (来源: {llm.origin})"
+                if context.message_handler.provider == llm.llm_instance:
+                    ret += " (当前使用)"
+                ret += "\n"
+            
+            ret += "\n使用 provider <序号> 切换 LLM 资源。" 
+            return CommandResult().message(ret)
+        else:
+            try:
+                idx = int(tokens.get(1))
+                if idx >= len(context.llms):
+                    return CommandResult().message("provider: 无效的序号。")
+                context.message_handler.set_provider(context.llms[idx].llm_instance)
+                return CommandResult().message(f"已经成功切换到 LLM 资源 {context.llms[idx].llm_name}。")
+            except BaseException as e:
+                return CommandResult().message("provider: 参数错误。")
+
+    def set_nick(self, message: AstrMessageEvent, context: Context):
+        message_str = message.message_str
+        if message.role != "admin":
+            return CommandResult().message("你没有权限使用该指令。")
+        l = message_str.split(" ")
+        if len(l) == 1:
+            return CommandResult().message("设置机器人唤醒词，支持多唤醒词。以唤醒词开头的消息会唤醒机器人处理，起到 @ 的效果。\n示例：wake 昵称1 昵称2 昵称3")
+        nick = l[1:]
+        context.config_helper.put("nick_qq", nick)
+        context.nick = tuple(nick)
+        return CommandResult(
+            hit=True,
+            success=True,
+            message_chain=f"已经成功将唤醒词设定为 {nick}",
+        )
+        
+    def update(self, message: AstrMessageEvent, context: Context):
+        tokens = self.manager.command_parser.parse(message.message_str)
+        if message.role != "admin":
+            return CommandResult(
+                hit=True,
+                success=False,
+                message_chain="你没有权限使用该指令",
+            )
+        update_info = context.updator.check_update(None, None)
+        if tokens.len == 1:
+            ret = ""
+            if not update_info:
+                ret = f"当前已经是最新版本 v{VERSION}。"
+            else:
+                ret = f"发现新版本 {update_info.version}，更新内容如下:\n---\n{update_info.body}\n---\n- 使用 /update latest 更新到最新版本。\n- 使用 /update vX.X.X 更新到指定版本。"
+            return CommandResult(
+                hit=True,
+                success=False,
+                message_chain=ret,
+            )
+        else:
+            if tokens.get(1) == "latest":
+                try:
+                    context.updator.update()
+                    return CommandResult().message(f"已经成功更新到最新版本 v{update_info.version}。要应用更新，请重启 AstrBot。输入 /reboot 即可重启")
+                except BaseException as e:
+                    return CommandResult().message(f"更新失败。原因：{str(e)}")
+            elif tokens.get(1).startswith("v"):
+                try:
+                    context.updator.update(version=tokens.get(1))
+                    return CommandResult().message(f"已经成功更新到版本 v{tokens.get(1)}。要应用更新，请重启 AstrBot。输入 /reboot 即可重启")
+                except BaseException as e:
+                    return CommandResult().message(f"更新失败。原因：{str(e)}")
+            else:
+                return CommandResult().message("update: 参数错误。")
+            
+    def reboot(self, message: AstrMessageEvent, context: Context):
+        if message.role != "admin":
+            return CommandResult(
+                hit=True,
+                success=False,
+                message_chain="你没有权限使用该指令",
+            )
+        context.updator._reboot(5)
+        return CommandResult(
+            hit=True,
+            success=True,
+            message_chain="AstrBot 将在 5s 后重启。",
+        )
+    
+    def plugin(self, message: AstrMessageEvent, context: Context):
+        tokens = self.manager.command_parser.parse(message.message_str)
+        if tokens.len == 1:
+            ret = "# 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- 查看插件列表：`plugin l`\n - 更新插件: `plugin u 插件名`\n"
+            return CommandResult().message(ret)
+        
+        if tokens.get(1) == "l":
+            plugin_list_info = ""
+            for plugin in context.cached_plugins:
+                plugin_list_info += f"- `{plugin.metadata.plugin_name}` By {plugin.metadata.author}: {plugin.metadata.desc}\n"
+            if plugin_list_info.strip() == "":
+                return CommandResult().message("plugin v: 没有找到插件。")
+            return CommandResult().message(plugin_list_info)
+        
+        elif tokens.get(1) == "d":
+            if message.role != "admin":
+                return CommandResult().message("plugin d: 你没有权限使用该指令。")
+            if tokens.len == 2:
+                return CommandResult().message("plugin d: 请指定要卸载的插件名。")
+            plugin_name = tokens.get(2)
+            try:
+                self.plugin_manager.uninstall_plugin(plugin_name)
+            except BaseException as e:
+                return CommandResult().message(f"plugin d: 卸载插件失败。原因：{str(e)}")
+            return CommandResult().message(f"plugin d: 已经成功卸载插件 {plugin_name}。")
+        
+        elif tokens.get(1) == "i":
+            if message.role != "admin":
+                return CommandResult().message("plugin i: 你没有权限使用该指令。")
+            if tokens.len == 2:
+                return CommandResult().message("plugin i: 请指定要安装的插件的 Github 地址，或者前往可视化面板安装。")
+            plugin_url = tokens.get(2)
+            try:
+                self.plugin_manager.install_plugin(plugin_url)
+            except BaseException as e:
+                return CommandResult().message(f"plugin i: 安装插件失败。原因：{str(e)}")
+            return CommandResult().message("plugin i: 已经成功安装插件。")
+        
+        elif tokens.get(1) == "u":
+            if message.role != "admin":
+                return CommandResult().message("plugin u: 你没有权限使用该指令。")
+            if tokens.len == 2:
+                return CommandResult().message("plugin u: 请指定要更新的插件名。")
+            plugin_name = tokens.get(2)
+            try:
+                self.plugin_manager.update_plugin(plugin_name)
+            except BaseException as e:
+                return CommandResult().message(f"plugin u: 更新插件失败。原因：{str(e)}")
+            return CommandResult().message(f"plugin u: 已经成功更新插件 {plugin_name}。")
+        
+        return CommandResult().message("plugin: 参数错误。")
+
+    async def help(self, message: AstrMessageEvent, context: Context):
+        notice = ""
+        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:
+            logger.warn("An error occurred while fetching astrbot notice. Never mind, it's not important.")
+
+        msg = "# Help Center\n## 指令列表\n"
+        for key, value in self.manager.commands_handler.items():
+            if value.plugin_metadata:
+                msg += f"- `{key}` ({value.plugin_metadata.plugin_name}): {value.description}\n"
+            else: msg += f"- `{key}`: {value.description}\n"
+        # plugins
+        if context.cached_plugins != None:
+            plugin_list_info = ""
+            for plugin in context.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
+
+        return CommandResult().message(msg)
+
+    def web_search(self, message: AstrMessageEvent, context: Context):
+        l = message.message_str.split(' ')
+        if len(l) == 1:
+            return CommandResult(
+                hit=True,
+                success=True,
+                message_chain=f"网页搜索功能当前状态: {context.web_search}",
+            )
+        elif l[1] == 'on':
+            context.web_search = True
+            return CommandResult(
+                hit=True,
+                success=True,
+                message_chain="已开启网页搜索",
+            )
+        elif l[1] == 'off':
+            context.web_search = False
+            return CommandResult(
+                hit=True,
+                success=True,
+                message_chain="已关闭网页搜索",
+            )
+        else:
+            return CommandResult(
+                hit=True,
+                success=False,
+                message_chain="参数错误",
+            )
+    
+    def t2i_toggle(self, message: AstrMessageEvent, context: Context):
+        p = context.config_helper.get("qq_pic_mode", True)
+        if p:
+            context.config_helper.put("qq_pic_mode", False)
+            return CommandResult(
+                hit=True,
+                success=True,
+                message_chain="已关闭文本转图片模式。",
+            )
+        context.config_helper.put("qq_pic_mode", True)
+        
+        return CommandResult(
+            hit=True,
+            success=True,
+            message_chain="已开启文本转图片模式。",
+        )
+        
+    def myid(self, message: AstrMessageEvent, context: Context):
+        try:
+            user_id = str(message.message_obj.sender.user_id)
+            return CommandResult(
+                hit=True,
+                success=True,
+                message_chain=f"你在此平台上的ID：{user_id}",
+            )
+        except BaseException as e:
+            return CommandResult(
+                hit=True,
+                success=False,
+                message_chain=f"在 {message.platform} 上获取你的ID失败，原因: {str(e)}",
+            )

model/command/manager.py

@@ -0,0 +1,107 @@
+import heapq
+import inspect
+import traceback
+from typing import Dict
+from type.types import Context
+from type.plugin import PluginMetadata
+from type.message_event import AstrMessageEvent
+from type.command import CommandResult
+from type.register import RegisteredPlugins
+from model.command.parser import CommandParser
+from model.plugin.command import PluginCommandBridge
+from SparkleLogging.utils.core import LogManager
+from logging import Logger
+from dataclasses import dataclass
+
+logger: Logger = LogManager.GetLogger(log_name='astrbot')
+
+@dataclass
+class CommandMetadata():
+    inner_command: bool
+    plugin_metadata: PluginMetadata
+    handler: callable
+    description: str
+
+class CommandManager():
+    def __init__(self):
+        self.commands = []
+        self.commands_handler: Dict[str, CommandMetadata] = {}
+        self.command_parser = CommandParser()
+        
+    def register(self, 
+                 command: str, 
+                 description: str, 
+                 priority: int,
+                 handler: callable,
+                 plugin_metadata: PluginMetadata = None,
+                ):
+        '''
+        优先级越高，越先被处理。
+        '''
+        if command in self.commands_handler:
+            raise ValueError(f"Command {command} already exists.")
+        if not handler:
+            raise ValueError(f"Handler of {command} is None.")
+        
+        heapq.heappush(self.commands, (-priority, command))
+        self.commands_handler[command] = CommandMetadata(
+            inner_command=plugin_metadata == None,
+            plugin_metadata=plugin_metadata,
+            handler=handler,
+            description=description
+        )
+        if plugin_metadata:
+            logger.info(f"已注册 {plugin_metadata.author}/{plugin_metadata.plugin_name} 的指令 {command}。")
+        else:
+            logger.info(f"已注册指令 {command}。")
+        
+    def register_from_pcb(self, pcb: PluginCommandBridge):
+        for request in pcb.plugin_commands_waitlist:
+            plugin = None
+            for registered_plugin in pcb.cached_plugins:
+                if registered_plugin.metadata.plugin_name == request.plugin_name:
+                    plugin = registered_plugin
+                    break
+            if not plugin:
+                logger.warning(f"插件 {request.plugin_name} 未找到，无法注册指令 {request.command_name}。")
+            self.register(request.command_name, request.description, request.priority, request.handler, plugin.metadata)
+        self.plugin_commands_waitlist = []
+
+    async def scan_command(self, message_event: AstrMessageEvent, context: Context) -> CommandResult:
+        message_str = message_event.message_str
+        for _, command in self.commands:
+            if message_str.startswith(command):
+                logger.info(f"触发 {command} 指令。")
+                command_result = await self.execute_handler(command, message_event, context)
+                if command_result.hit:
+                    return command_result
+
+    async def execute_handler(self,
+                        command: str,
+                        message_event: AstrMessageEvent,
+                        context: Context) -> CommandResult:
+        command_metadata = self.commands_handler[command]
+        handler = command_metadata.handler
+        # call handler
+        try:
+            if inspect.iscoroutinefunction(handler):
+                command_result = await handler(message_event, context)
+            else:
+                command_result = handler(message_event, context)
+            
+            if not isinstance(command_result, CommandResult):
+                raise ValueError(f"Command {command} handler should return CommandResult.")
+            
+            context.metrics_uploader.command_stats[command] += 1
+            
+            return command_result
+        except BaseException as e:
+            logger.error(traceback.format_exc())
+            
+            if not command_metadata.inner_command:
+                text = f"执行 {command}/({command_metadata.plugin_metadata.plugin_name} By {command_metadata.plugin_metadata.author}) 指令时发生了异常。{e}"
+                logger.error(text)
+            else:
+                text = f"执行 {command} 指令时发生了异常。{e}"
+                logger.error(text)
+            return CommandResult().message(text)

model/command/openai_official_handler.py

@@ -0,0 +1,186 @@
+from model.command.manager import CommandManager
+from type.message_event import AstrMessageEvent
+from type.command import CommandResult
+from type.types import Context
+from SparkleLogging.utils.core import LogManager
+from logging import Logger
+from nakuru.entities.components import Image
+from model.provider.openai_official import ProviderOpenAIOfficial, MODELS
+from util.personality import personalities
+from util.io import download_image_by_url
+
+logger: Logger = LogManager.GetLogger(log_name='astrbot')
+
+
+class OpenAIOfficialCommandHandler():
+    def __init__(self, manager: CommandManager) -> None:
+        self.manager = manager
+        
+        self.provider = None
+        
+        self.manager.register("reset", "重置会话", 10, self.reset)
+        self.manager.register("his", "查看历史记录", 10, self.his)
+        self.manager.register("status", "查看当前状态", 10, self.status)
+        self.manager.register("switch", "切换账号", 10, self.switch)
+        self.manager.register("unset", "清除个性化人格设置", 10, self.unset)
+        self.manager.register("set", "设置个性化人格", 10, self.set)
+        self.manager.register("draw", "调用 DallE 模型画图", 10, self.draw)
+        self.manager.register("model", "切换模型", 10, self.model)
+        self.manager.register("画", "调用 DallE 模型画图", 10, self.draw)
+        
+    def set_provider(self, provider):
+        self.provider = provider
+    
+    async def reset(self, message: AstrMessageEvent, context: Context):
+        tokens = self.manager.command_parser.parse(message.message_str)
+        if tokens.len == 1:
+            await self.provider.forget(message.session_id, keep_system_prompt=True)
+            return CommandResult().message("重置成功")
+        elif tokens.get(1) == 'p':
+            await self.provider.forget(message.session_id)
+    
+    async def model(self, message: AstrMessageEvent, context: Context):
+        tokens = self.manager.command_parser.parse(message.message_str)
+        if tokens.len == 1:
+            ret = await self._print_models()
+            return CommandResult().message(ret)
+        model = tokens.get(1)
+        if model.isdigit():
+            try:
+                models = await self.provider.get_models()
+            except BaseException as e:
+                logger.error(f"获取模型列表失败: {str(e)}")
+                return CommandResult().message("获取模型列表失败，无法使用编号切换模型。可以尝试直接输入模型名来切换，如 gpt-4o。")
+            models = list(models)
+            if int(model) <= len(models) and int(model) >= 1:
+                model = models[int(model)-1]
+            self.provider.set_model(model.id)
+            return CommandResult().message(f"模型已设置为 {model.id}")
+        else:
+            self.provider.set_model(model)
+            return CommandResult().message(f"模型已设置为 {model} (自定义)")
+
+    async def _print_models(self):
+        try:
+            models = await self.provider.get_models()
+        except BaseException as e:
+            return "获取模型列表失败: " + str(e)
+        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 ret
+        
+    def his(self, message: AstrMessageEvent, context: Context):
+        tokens = self.manager.command_parser.parse(message.message_str)
+        size_per_page = 3
+        page = 1
+        if tokens.len == 2:
+            try:
+                page = int(tokens.get(1))
+            except BaseException as e:
+                return CommandResult().message("页码格式错误")
+        contexts, total_num = self.provider.dump_contexts_page(message.session_id, size_per_page, page=page)
+        t_pages = total_num // size_per_page + 1
+        return CommandResult().message(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")
+    
+    def status(self, message: AstrMessageEvent, context: Context):
+        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 message.session_id in self.provider.session_memory and len(self.provider.session_memory[message.session_id]):
+            ret += "\n你的会话上下文: " + str(self.provider.session_memory[message.session_id][-1]['usage_tokens']) + " tokens"
+
+        return CommandResult().message(ret)
+    
+    async def switch(self, message: AstrMessageEvent, context: Context):
+        '''
+        切换账号
+        '''
+        tokens = self.manager.command_parser.parse(message.message_str)
+        if tokens.len == 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 CommandResult().message(ret)
+        elif tokens.len == 2:
+            try:
+                key_stat = self.provider.get_keys_data()
+                index = int(tokens.get(1))
+                if index > len(key_stat) or index < 1:
+                    return CommandResult().message("账号序号错误。")
+                else:
+                    try:
+                        new_key = list(key_stat.keys())[index-1]
+                        self.provider.set_key(new_key)
+                    except BaseException as e:
+                        return CommandResult().message("切换账号未知错误: "+str(e))
+                    return CommandResult().message("切换账号成功。")    
+            except BaseException as e:
+                return CommandResult().message("切换账号错误。")
+        else:
+            return CommandResult().message("参数过多。")
+
+    def unset(self, message: AstrMessageEvent, context: Context):
+        self.provider.curr_personality = {}
+        self.provider.forget(message.session_id)
+        return CommandResult().message("已清除个性化设置。")
+    
+    
+    def set(self, message: AstrMessageEvent, context: Context):
+        l = message.message_str.split(" ")
+        if len(l) == 1:
+            return CommandResult().message("- 设置人格: \nset 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\n【当前人格】: " + str(self.provider.curr_personality['prompt']))
+        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'
+            return CommandResult().message(msg)
+        elif l[1] == "view":
+            if len(l) == 2:
+                return CommandResult().message("请输入人格名")
+            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 CommandResult().message(msg)
+        else:
+            ps = "".join(l[1:]).strip()
+            if ps in personalities:
+                self.provider.curr_personality = {
+                    'name': ps,
+                    'prompt': personalities[ps]
+                }
+                self.provider.personality_set(self.provider.curr_personality, message.session_id)
+                return CommandResult().message(f"人格已设置。 \n人格信息: {ps}")
+            else:
+                self.provider.curr_personality = {
+                    'name': '自定义人格',
+                    'prompt': ps
+                }
+                self.provider.personality_set(self.provider.curr_personality, message.session_id)
+                return CommandResult().message(f"人格已设置。 \n人格信息: {ps}")
+
+    async def draw(self, message: AstrMessageEvent, context: Context):
+        message = message.message_str.removeprefix("画")
+        img_url = await self.provider.image_generate(message)
+        return CommandResult(
+            message_chain=[Image.fromURL(img_url)],
+        )

model/command/parser.py

@@ -0,0 +1,19 @@
+class CommandTokens():
+    def __init__(self) -> None:
+        self.tokens = []
+        self.len = 0
+        
+    def get(self, idx: int):
+        if idx >= self.len:
+            return None
+        return self.tokens[idx].strip()
+
+class CommandParser():
+    def __init__(self):
+        pass
+        
+    def parse(self, message: str):
+        cmd_tokens = CommandTokens()
+        cmd_tokens.tokens = message.split(" ")
+        cmd_tokens.len = len(cmd_tokens.tokens)
+        return cmd_tokens

model/platform/__init__.py

@@ -0,0 +1,74 @@
+import abc
+from typing import Union, Any, List
+from nakuru.entities.components import Plain, At, Image, BaseMessageComponent
+from type.astrbot_message import AstrBotMessage
+from type.command import CommandResult
+
+
+class Platform():
+    def __init__(self) -> None:
+        pass
+
+    @abc.abstractmethod
+    async def handle_msg(self, message: AstrBotMessage):
+        '''
+        处理到来的消息
+        '''
+        pass
+
+    @abc.abstractmethod
+    async def reply_msg(self, message: AstrBotMessage, 
+                        result_message: List[BaseMessageComponent]):
+        '''
+        回复用户唤醒机器人的消息。（被动回复）
+        '''
+        pass
+
+    @abc.abstractmethod
+    async def send_msg(self, target: Any, result_message: CommandResult):
+        '''
+        发送消息（主动）
+        '''
+        pass
+
+    def parse_message_outline(self, message: AstrBotMessage) -> str:
+        '''
+        将消息解析成大纲消息形式，如: xxxxx[图片]xxxxx。用于输出日志等。
+        '''
+        if isinstance(message, str):
+            return message
+        ret = ''
+        parsed = message if isinstance(message, list) else message.message
+        try:
+            for node in parsed:
+                if isinstance(node, Plain):
+                    ret += node.text.replace('\n', ' ')
+                elif isinstance(node, At):
+                    ret += f'[At: {node.name}/{node.qq}]'
+                elif isinstance(node, Image):
+                    ret += '[图片]'
+        except Exception as e:
+            pass
+        return ret[:100] if len(ret) > 100 else ret
+    
+    def check_nick(self, message_str: str) -> bool:
+        if self.context.nick:
+            for nick in self.context.nick:
+                if nick and message_str.strip().startswith(nick):
+                    return True
+        return False
+
+    async def convert_to_t2i_chain(self, message_result: list) -> list:
+        plain_str = ""
+        rendered_images = []
+        for i in message_result:
+            if isinstance(i, Plain):
+                plain_str += i.text
+        if plain_str and len(plain_str) > 50:
+            p = await self.context.image_renderer.render(plain_str, return_url=True)
+            if p.startswith('http'):
+                rendered_images.append(Image.fromURL(p))
+            else:
+                rendered_images.append(Image.fromFileSystem(p))
+            return rendered_images
+        

model/platform/manager.py

@@ -0,0 +1,87 @@
+import asyncio
+
+from util.io import port_checker
+from type.register import RegisteredPlatform
+from type.types import Context
+from SparkleLogging.utils.core import LogManager
+from logging import Logger
+from astrbot.message.handler import MessageHandler
+
+logger: Logger = LogManager.GetLogger(log_name='astrbot')
+
+
+class PlatformManager():
+    def __init__(self, context: Context, message_handler: MessageHandler) -> None:
+        self.context = context
+        self.config = context.base_config
+        self.msg_handler = message_handler
+        
+    def load_platforms(self):
+        tasks = []
+        
+        if 'gocqbot' in self.config and self.config['gocqbot']['enable']:
+            logger.info("启用 QQ(nakuru 适配器)")
+            tasks.append(asyncio.create_task(self.gocq_bot(), name="nakuru-adapter"))
+        
+        if 'aiocqhttp' in self.config and self.config['aiocqhttp']['enable']:
+            logger.info("启用 QQ(aiocqhttp 适配器)")
+            tasks.append(asyncio.create_task(self.aiocq_bot(), name="aiocqhttp-adapter"))
+
+        # QQ频道
+        if 'qqbot' in self.config and self.config['qqbot']['enable'] and self.config['qqbot']['appid'] != None:
+            logger.info("启用 QQ(官方 API) 机器人消息平台")
+            tasks.append(asyncio.create_task(self.qqchan_bot(), name="qqofficial-adapter"))
+            
+        return tasks
+
+    async def gocq_bot(self):
+        '''
+        运行 QQ(nakuru 适配器) 
+        '''
+        from model.platform.qq_nakuru import QQGOCQ
+        noticed = False
+        host = self.config.get("gocq_host", "127.0.0.1")
+        port = self.config.get("gocq_websocket_port", 6700)
+        http_port = self.config.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 port_checker(port=port, host=host) or not 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。")
+                await asyncio.sleep(5)
+            else:
+                logger.info("nakuru 适配器已连接。")
+                break
+        try:
+            qq_gocq = QQGOCQ(self.context, self.msg_handler)
+            self.context.platforms.append(RegisteredPlatform(
+                platform_name="gocq", platform_instance=qq_gocq, origin="internal"))
+            await qq_gocq.run()
+        except BaseException as e:
+            logger.error("启动 nakuru 适配器时出现错误: " + str(e))
+
+    def aiocq_bot(self):
+        '''
+        运行 QQ(aiocqhttp 适配器)
+        '''
+        from model.platform.qq_aiocqhttp import AIOCQHTTP
+        qq_aiocqhttp = AIOCQHTTP(self.context, self.msg_handler)
+        self.context.platforms.append(RegisteredPlatform(
+            platform_name="aiocqhttp", platform_instance=qq_aiocqhttp, origin="internal"))
+        return qq_aiocqhttp.run_aiocqhttp()
+
+    def qqchan_bot(self):
+        '''
+        运行 QQ 官方机器人适配器
+        '''
+        try:
+            from model.platform.qq_official import QQOfficial
+            qqchannel_bot = QQOfficial(self.context, self.msg_handler)
+            self.context.platforms.append(RegisteredPlatform(
+                platform_name="qqchan", platform_instance=qqchannel_bot, origin="internal"))
+            return qqchannel_bot.run()
+        except BaseException as e:
+            logger.error("启动 QQ官方机器人适配器时出现错误: " + str(e))

model/platform/qq_aiocqhttp.py

@@ -0,0 +1,220 @@
+import time
+import asyncio
+import traceback
+import logging
+from aiocqhttp import CQHttp, Event
+from aiocqhttp.exceptions import ActionFailed
+from . import Platform
+from type.astrbot_message import *
+from type.message_event import *
+from type.command import *
+from typing import Union, List, Dict
+from nakuru.entities.components import *
+from SparkleLogging.utils.core import LogManager
+from logging import Logger
+from astrbot.message.handler import MessageHandler
+
+logger: Logger = LogManager.GetLogger(log_name='astrbot')
+
+class AIOCQHTTP(Platform):
+    def __init__(self, context: Context, message_handler: MessageHandler) -> None:
+        self.message_handler = message_handler
+        self.waiting = {}
+        self.context = context
+        self.unique_session = self.context.unique_session
+        self.announcement = self.context.base_config.get("announcement", "欢迎新人！")
+        self.host = self.context.base_config['aiocqhttp']['ws_reverse_host']
+        self.port = self.context.base_config['aiocqhttp']['ws_reverse_port']
+        
+    def convert_message(self, event: Event) -> AstrBotMessage:
+        
+        abm = AstrBotMessage()
+        abm.self_id = str(event.self_id)
+        abm.tag = "aiocqhttp"
+        
+        abm.sender = MessageMember(str(event.sender['user_id']), event.sender['nickname'])        
+
+        if event['message_type'] == 'group':
+            abm.type = MessageType.GROUP_MESSAGE
+        elif event['message_type'] == 'private':
+            abm.type = MessageType.FRIEND_MESSAGE
+        
+        if self.unique_session:
+            abm.session_id = abm.sender.user_id
+        else:
+            abm.session_id = str(event.group_id) if abm.type == MessageType.GROUP_MESSAGE else abm.sender.user_id
+        
+        abm.message_id = str(event.message_id)
+        abm.message = []
+        
+        message_str = ""
+        for m in event.message:
+            t = m['type']
+            a = None
+            if t == 'at':
+                a = At(**m['data'])
+                abm.message.append(a)
+            if t == 'text':
+                a = Plain(text=m['data']['text'])
+                message_str += m['data']['text'].strip()
+                abm.message.append(a)
+            if t == 'image':
+                a = Image(file=m['data']['file'])
+                abm.message.append(a)
+        abm.timestamp = int(time.time())
+        abm.message_str = message_str
+        abm.raw_message = event
+        return abm
+            
+    def run_aiocqhttp(self):
+        if not self.host or not self.port:
+            return
+        self.bot = CQHttp(use_ws_reverse=True, import_name='aiocqhttp')
+        @self.bot.on_message('group')
+        async def group(event: Event):
+            abm = self.convert_message(event)
+            if abm:
+                await self.handle_msg(abm)
+            # return {'reply': event.message}
+        
+        @self.bot.on_message('private')
+        async def private(event: Event):
+            abm = self.convert_message(event)
+            if abm:
+                await self.handle_msg(abm)
+            # return {'reply': event.message}
+        
+        bot = self.bot.run_task(host=self.host, port=int(self.port), shutdown_trigger=self.shutdown_trigger_placeholder)
+        
+        for handler in logging.root.handlers[:]:
+            logging.root.removeHandler(handler)
+        logging.getLogger('aiocqhttp').setLevel(logging.ERROR)
+        
+        return bot
+    
+    async def shutdown_trigger_placeholder(self):
+        while True:
+            await asyncio.sleep(1)
+    
+    def pre_check(self, message: AstrBotMessage) -> bool:
+        # if message chain contains Plain components or At components which points to self_id, return True
+        if message.type == MessageType.FRIEND_MESSAGE:
+            return True
+        for comp in message.message:
+            if isinstance(comp, At) and str(comp.qq) == message.self_id:
+                return True
+        # check nicks
+        if self.check_nick(message.message_str):
+            return True
+        return False
+        
+    async def handle_msg(self, message: AstrBotMessage):
+        logger.info(
+            f"{message.sender.nickname}/{message.sender.user_id} -> {self.parse_message_outline(message)}")
+        
+        if not self.pre_check(message):
+            return
+        
+        # 解析 role
+        sender_id = str(message.sender.user_id)
+        if sender_id == self.context.config_helper.get('admin_qq', '') or \
+                sender_id in self.context.config_helper.get('other_admins', []):
+            role = 'admin'
+        else:
+            role = 'member'
+            
+        # construct astrbot message event
+        ame = AstrMessageEvent.from_astrbot_message(message, self.context, "aiocqhttp", message.session_id, role)
+        
+        # transfer control to message handler
+        message_result = await self.message_handler.handle(ame)
+        if not message_result: return
+        
+        await self.reply_msg(message, message_result.result_message)
+        if message_result.callback:
+            message_result.callback()
+
+        # 如果是等待回复的消息
+        if message.session_id in self.waiting and self.waiting[message.session_id] == '':
+            self.waiting[message.session_id] = message
+
+    
+    async def reply_msg(self,
+                        message: AstrBotMessage,
+                        result_message: list):
+        """
+        回复用户唤醒机器人的消息。（被动回复）
+        """
+        logger.info(
+            f"{message.sender.user_id} <- {self.parse_message_outline(message)}")
+        
+        res = result_message
+        
+        if isinstance(res, str):
+            res = [Plain(text=res), ]
+            
+        # if image mode, put all Plain texts into a new picture.
+        if self.context.config_helper.get("qq_pic_mode", False) and isinstance(res, list):
+            rendered_images = await self.convert_to_t2i_chain(res)
+            if rendered_images:
+                try:
+                    await self._reply(message, rendered_images)
+                    return
+                except BaseException as e:
+                    logger.warn(traceback.format_exc())
+                    logger.warn(f"以文本转图片的形式回复消息时发生错误: {e}，将尝试默认方式。")
+        
+        await self._reply(message, res)
+            
+    async def _reply(self, message: Union[AstrBotMessage, Dict], message_chain: List[BaseMessageComponent]):
+        if isinstance(message_chain, str): 
+            message_chain = [Plain(text=message_chain), ]
+            
+        ret = []
+        image_idx = []
+        for idx, segment in enumerate(message_chain):
+            d = segment.toDict()
+            if isinstance(segment, Plain):
+                d['type'] = 'text'
+            if isinstance(segment, Image):
+                image_idx.append(idx)
+            ret.append(d)
+        try:
+            if isinstance(message, AstrBotMessage):
+                await self.bot.send(message.raw_message, ret)
+            if isinstance(message, dict):
+                if 'group_id' in message:
+                    await self.bot.send_group_msg(group_id=message['group_id'], message=ret)
+                elif 'user_id' in message:
+                    await self.bot.send_private_msg(user_id=message['user_id'], message=ret)
+                else:
+                    raise Exception("aiocqhttp: 无法识别的消息来源。仅支持 group_id 和 user_id。")
+        except ActionFailed as e:
+            logger.error(traceback.format_exc())
+            logger.error(f"回复消息失败: {e}")
+            if e.retcode == 1200:
+                # ENOENT
+                if not image_idx:
+                    raise e
+                logger.info("检测到失败原因为文件未找到，猜测用户的协议端与 AstrBot 位于不同的文件系统上。尝试采用上传图片的方式发图。")
+                for idx in image_idx:
+                    if ret[idx]['data']['file'].startswith('file://'):
+                        logger.info(f"正在上传图片: {ret[idx]['data']['path']}")
+                        image_url = await self.context.image_uploader.upload_image(ret[idx]['data']['path'])
+                        logger.info(f"上传成功。")
+                        ret[idx]['data']['file'] = image_url
+                        ret[idx]['data']['path'] = image_url
+                await self.bot.send(message.raw_message, ret)
+                
+    async def send_msg(self, target: Dict[str, int], result_message: CommandResult):
+        '''
+        以主动的方式给QQ用户、QQ群发送一条消息。
+        
+        `target` 接收一个 dict 类型的值引用。
+        
+        - 要发给 QQ 下的某个用户，请添加 key `user_id`，值为 int 类型的 qq 号；
+        - 要发给某个群聊，请添加 key `group_id`，值为 int 类型的 qq 群号；
+        
+        '''
+        
+        await self._reply(target, result_message.message_chain)

model/platform/qq_nakuru.py

@@ -0,0 +1,255 @@
+import time, asyncio, traceback
+
+from nakuru.entities.components import Plain, At, Image, Node, BaseMessageComponent
+from nakuru import (
+    CQHTTP,
+    GuildMessage,
+    GroupMessage,
+    FriendMessage,
+    GroupMemberIncrease,
+    MessageItemType
+)
+from typing import Union, List, Dict
+from type.types import Context
+from . import Platform
+from type.astrbot_message import *
+from type.message_event import *
+from type.command import *
+from SparkleLogging.utils.core import LogManager
+from logging import Logger
+from astrbot.message.handler import MessageHandler
+
+logger: Logger = LogManager.GetLogger(log_name='astrbot')
+
+
+class FakeSource:
+    def __init__(self, type, group_id):
+        self.type = type
+        self.group_id = group_id
+
+
+class QQGOCQ(Platform):
+    def __init__(self, context: Context, message_handler: MessageHandler) -> None:
+        self.loop = asyncio.new_event_loop()
+        asyncio.set_event_loop(self.loop)
+        
+        self.message_handler = message_handler
+        self.waiting = {}
+        self.context = context
+        self.unique_session = self.context.unique_session
+        self.announcement = self.context.base_config.get("announcement", "欢迎新人！")
+
+        self.client = CQHTTP(
+            host=self.context.base_config.get("gocq_host", "127.0.0.1"),
+            port=self.context.base_config.get("gocq_websocket_port", 6700),
+            http_port=self.context.base_config.get("gocq_http_port", 5700),
+        )
+        gocq_app = self.client
+
+        @gocq_app.receiver("GroupMessage")
+        async def _(app: CQHTTP, source: GroupMessage):
+            if self.context.base_config.get("gocq_react_group", True):
+                abm = self.convert_message(source)
+                await self.handle_msg(abm)
+
+        @gocq_app.receiver("FriendMessage")
+        async def _(app: CQHTTP, source: FriendMessage):
+            if self.context.base_config.get("gocq_react_friend", True):
+                abm = self.convert_message(source)
+                await self.handle_msg(abm)
+
+        @gocq_app.receiver("GroupMemberIncrease")
+        async def _(app: CQHTTP, source: GroupMemberIncrease):
+            if self.context.base_config.get("gocq_react_group_increase", True):
+                await app.sendGroupMessage(source.group_id, [
+                    Plain(text=self.announcement)
+                ])
+
+        @gocq_app.receiver("GuildMessage")
+        async def _(app: CQHTTP, source: GuildMessage):
+            if self.cc.get("gocq_react_guild", True):
+                abm = self.convert_message(source)
+                await self.handle_msg(abm)
+                        
+    def pre_check(self, message: AstrBotMessage) -> bool:
+        # if message chain contains Plain components or At components which points to self_id, return True
+        if message.type == MessageType.FRIEND_MESSAGE:
+            return True
+        for comp in message.message:
+            if isinstance(comp, At) and str(comp.qq) == message.self_id:
+                return True
+        # check nicks
+        if self.check_nick(message.message_str):
+            return True
+        return False
+
+    def run(self):
+        coro = self.client._run()
+        return coro
+
+    async def handle_msg(self, message: AstrBotMessage):
+        logger.info(
+            f"{message.sender.nickname}/{message.sender.user_id} -> {self.parse_message_outline(message)}")
+
+        assert isinstance(message.raw_message,
+                          (GroupMessage, FriendMessage, GuildMessage))
+
+        # 判断是否响应消息
+        if not self.pre_check(message):
+            return
+
+        # 解析 session_id
+        if self.unique_session or message.type == MessageType.FRIEND_MESSAGE:
+            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.context.config_helper.get('admin_qq', '') or \
+                sender_id in self.context.config_helper.get('other_admins', []):
+            role = 'admin'
+        else:
+            role = 'member'
+            
+        # construct astrbot message event
+        ame = AstrMessageEvent.from_astrbot_message(message, self.context, "gocq", session_id, role)
+        
+        # transfer control to message handler
+        message_result = await self.message_handler.handle(ame)
+        if not message_result: return
+        
+        await self.reply_msg(message, message_result.result_message)
+        if message_result.callback:
+            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: AstrBotMessage,
+                        result_message: List[BaseMessageComponent]):
+        """
+        回复用户唤醒机器人的消息。（被动回复）
+        """
+        source = message.raw_message
+        res = result_message
+        
+        assert isinstance(source,
+                (GroupMessage, FriendMessage, GuildMessage))
+
+        logger.info(
+            f"{source.user_id} <- {self.parse_message_outline(res)}")
+
+        if isinstance(res, str):
+            res = [Plain(text=res), ]
+
+        # if image mode, put all Plain texts into a new picture.
+        if self.context.config_helper.get("qq_pic_mode", False) and isinstance(res, list):
+            rendered_images = await self.convert_to_t2i_chain(res)
+            if rendered_images:
+                try:
+                    await self._reply(source, rendered_images)
+                    return
+                except BaseException as e:
+                    logger.warn(traceback.format_exc())
+                    logger.warn(f"以文本转图片的形式回复消息时发生错误: {e}，将尝试默认方式。")
+            
+        await self._reply(source, res)
+        
+    async def _reply(self, source, message_chain: List[BaseMessageComponent]):
+        if isinstance(message_chain, str): 
+            message_chain = [Plain(text=message_chain), ]
+        
+        is_dict = isinstance(source, dict)
+        if source.type == "GuildMessage":
+            guild_id = source['guild_id'] if is_dict else source.guild_id
+            chan_id = source['channel_id'] if is_dict else source.channel_id
+            await self.client.sendGuildChannelMessage(guild_id, chan_id, message_chain)
+        elif source.type == "FriendMessage":
+            user_id = source['user_id'] if is_dict else source.user_id
+            await self.client.sendFriendMessage(user_id, message_chain)
+        elif source.type == "GroupMessage":
+            group_id = source['group_id'] if is_dict else source.group_id
+            # 过长时forward发送
+            plain_text_len = 0
+            image_num = 0
+            for i in message_chain:
+                if isinstance(i, Plain):
+                    plain_text_len += len(i.text)
+                elif isinstance(i, Image):
+                    image_num += 1
+            if plain_text_len > self.context.config_helper.get('qq_forward_threshold', 200):
+                # 删除At
+                for i in message_chain:
+                    if isinstance(i, At):
+                        message_chain.remove(i)
+                node = Node(message_chain)
+                node.uin = 123456
+                node.name = f"bot"
+                node.time = int(time.time())
+                nodes = [node]
+                await self.client.sendGroupForwardMessage(group_id, nodes)
+                return
+            await self.client.sendGroupMessage(group_id, message_chain)
+        
+    async def send_msg(self, target: Dict[str, int], result_message: CommandResult):
+        '''
+        以主动的方式给用户、群或者频道发送一条消息。
+        
+        `target` 接收一个 dict 类型的值引用。
+        
+        - 要发给 QQ 下的某个用户，请添加 key `user_id`，值为 int 类型的 qq 号；
+        - 要发给某个群聊，请添加 key `group_id`，值为 int 类型的 qq 群号；
+        - 要发给某个频道，请添加 key `guild_id`, `channel_id`。均为 int 类型。
+        
+        guild_id 不是频道号。
+        '''
+        await self._reply(target, result_message.message_chain)
+
+    def convert_message(self, message: Union[GroupMessage, FriendMessage, GuildMessage]) -> AstrBotMessage:
+        abm = AstrBotMessage()
+        abm.type = MessageType(message.type)
+        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.strip()
+        if message.type == MessageItemType.GuildMessage:
+            abm.self_id = str(message.self_tiny_id)
+        else:
+            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
+    
+    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)

model/platform/qq_official.py

@@ -0,0 +1,407 @@
+import botpy
+import re
+import time
+import traceback
+import asyncio
+import botpy.message
+import botpy.types
+import botpy.types.message
+
+from botpy.types.message import Reference, Media
+from botpy import Client
+from util.io import save_temp_img, download_image_by_url
+from . import Platform
+from type.astrbot_message import *
+from type.message_event import *
+from type.command import *
+from typing import Union, List, Dict
+from nakuru.entities.components import *
+from SparkleLogging.utils.core import LogManager
+from logging import Logger
+from astrbot.message.handler import MessageHandler
+
+logger: Logger = LogManager.GetLogger(log_name='astrbot')
+
+# QQ 机器人官方框架
+class botClient(Client):
+    def set_platform(self, platform: 'QQOfficial'):
+        self.platform = platform
+        
+    # 收到群消息
+    async def on_group_at_message_create(self, message: botpy.message.GroupMessage):
+        abm = self.platform._parse_from_qqofficial(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 = self.platform._parse_from_qqofficial(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 = self.platform._parse_from_qqofficial(message, MessageType.FRIEND_MESSAGE)
+        await self.platform.handle_msg(abm)
+        
+    # 收到 C2C 消息
+    async def on_c2c_message_create(self, message: botpy.message.C2CMessage):
+        abm = self.platform._parse_from_qqofficial(message, MessageType.FRIEND_MESSAGE)
+        await self.platform.handle_msg(abm)
+
+
+class QQOfficial(Platform):
+
+    def __init__(self, context: Context, message_handler: MessageHandler, test_mode = False) -> None:
+        super().__init__()
+        self.loop = asyncio.new_event_loop()
+        asyncio.set_event_loop(self.loop)
+        
+        self.message_handler = message_handler
+        self.waiting: dict = {}
+        self.context = context
+        
+        self.appid = context.base_config['qqbot']['appid']
+        self.token = context.base_config['qqbot']['token']
+        self.secret = context.base_config['qqbot_secret']
+        self.unique_session = context.unique_session
+        qq_group = context.base_config['qqofficial_enable_group_message']
+        
+
+        if qq_group:
+            self.intents = botpy.Intents(
+                public_messages=True,
+                public_guild_messages=True,
+                direct_message=context.base_config['direct_message_mode']
+            )
+        else:
+            self.intents = botpy.Intents(
+                public_guild_messages=True,
+                direct_message=context.base_config['direct_message_mode']
+            )
+        self.client = botClient(
+            intents=self.intents,
+            bot_log=False
+        )
+
+        self.client.set_platform(self)
+        
+        self.test_mode = test_mode
+
+    async def _parse_to_qqofficial(self, message: List[BaseMessageComponent], is_group: bool = False):
+        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)
+                elif i.file and i.file.startswith("http"):
+                    # 如果是群消息，不需要下载
+                    image_path = await download_image_by_url(i.file) if not is_group else i.file
+        return plain_text, image_path
+
+    def _parse_from_qqofficial(self, message: Union[botpy.message.Message, botpy.message.GroupMessage],
+                                  message_type: MessageType):
+        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 isinstance(message, botpy.message.GroupMessage) or isinstance(message, botpy.message.C2CMessage):
+            if isinstance(message, botpy.message.GroupMessage):
+                abm.sender = MessageMember(
+                    message.author.member_openid,
+                    ""
+                )
+            else:
+                abm.sender = MessageMember(
+                    message.author.user_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 isinstance(message, botpy.message.Message) or isinstance(message, botpy.message.DirectMessage):
+            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 run(self):
+        try:
+            return self.client.start(
+                appid=self.appid,
+                secret=self.secret
+            )
+        except BaseException as e:
+            # 早期的 qq-botpy 版本使用 token 登录。
+            logger.error(traceback.format_exc())
+            self.client = botClient(
+                intents=self.intents,
+                bot_log=False
+            )
+            self.client.set_platform(self)
+            return self.client.start(
+                appid=self.appid,
+                token=self.token
+            )
+
+    async def handle_msg(self, message: AstrBotMessage):
+        assert isinstance(message.raw_message, (botpy.message.Message,
+                          botpy.message.GroupMessage, botpy.message.DirectMessage, botpy.message.C2CMessage))
+        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.context.config_helper.get('admin_qqchan', None) or \
+                sender_id in self.context.config_helper.get('other_admins', None):
+            role = 'admin'
+        else:
+            role = 'member'
+            
+        # construct astrbot message event
+        ame = AstrMessageEvent.from_astrbot_message(message, self.context, "qqchan", session_id, role)
+        
+        message_result = await self.message_handler.handle(ame)
+        if not message_result:
+            return
+
+        ret = await self.reply_msg(message, message_result.result_message)
+        if message_result.callback:
+            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
+            
+        return ret
+
+    async def reply_msg(self,
+                        message: AstrBotMessage,
+                        result_message: List[BaseMessageComponent]):
+        '''
+        回复频道消息
+        '''
+        source = message.raw_message
+        assert isinstance(source, (botpy.message.Message,
+                          botpy.message.GroupMessage, botpy.message.DirectMessage, botpy.message.C2CMessage))
+        logger.info(
+            f"{message.sender.nickname}({message.sender.user_id}) <- {self.parse_message_outline(result_message)}")
+
+        plain_text = ''
+        image_path = ''
+        msg_ref = None
+        rendered_images = []
+        
+        if self.context.config_helper.get("qq_pic_mode", False) and isinstance(result_message, list):
+            rendered_images = await self.convert_to_t2i_chain(result_message)
+        
+        if isinstance(result_message, list):
+            plain_text, image_path = await self._parse_to_qqofficial(result_message, message.type == MessageType.GROUP_MESSAGE)
+        else:
+            plain_text = result_message
+
+        if source and not 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 isinstance(message.raw_message, botpy.message.GroupMessage):
+            data['group_openid'] = str(source.group_openid)
+        elif isinstance(message.raw_message, botpy.message.Message):
+            data['channel_id'] = source.channel_id
+        elif isinstance(message.raw_message, botpy.message.DirectMessage):
+            data['guild_id'] = source.guild_id
+        elif isinstance(message.raw_message, botpy.message.C2CMessage):
+            data['openid'] = source.author.user_openid
+        if image_path:
+            data['file_image'] = image_path
+        if rendered_images:
+            # 文转图
+            _data = data.copy()
+            _data['content'] = ''
+            _data['file_image'] = rendered_images[0].file
+            _data['message_reference'] = None
+            
+            try:
+                return await self._reply(**_data)
+            except BaseException as e:
+                logger.warn(traceback.format_exc())
+                logger.warn(f"以文本转图片的形式回复消息时发生错误: {e}，将尝试默认方式。")
+
+        try:
+            return await self._reply(**data)
+        except BaseException as e:
+            logger.error(traceback.format_exc())
+            # 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
+                    return await self._reply(**data)
+            else:
+                try:
+                    # 防止被qq频道过滤消息
+                    plain_text = plain_text.replace(".", " . ")
+                    return await self._reply(**data)
+                except BaseException as e:
+                    try:
+                        data['content'] = str.join(" ", plain_text)
+                        return await self._reply(**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
+                        return await self._reply(**data)
+
+    async def _reply(self, **kwargs):
+        if 'group_openid' in kwargs or 'openid' in kwargs:
+            # QQ群组消息
+            if 'file_image' in kwargs and kwargs['file_image']:
+                file_image_path = kwargs['file_image'].replace("file:///", "")
+                if file_image_path:
+                    
+                    if file_image_path.startswith("http"):
+                        image_url = file_image_path
+                    else:
+                        logger.debug(f"上传图片: {file_image_path}")
+                        image_url = await self.context.image_uploader.upload_image(file_image_path)
+                        logger.debug(f"上传成功: {image_url}")
+                    if 'group_openid' in kwargs:
+                        media = await self.client.api.post_group_file(kwargs['group_openid'], 1, image_url)
+                    elif 'openid' in kwargs:
+                        media = await self.client.api.post_c2c_file(kwargs['openid'], 1, image_url)
+                    del kwargs['file_image']
+                    kwargs['media'] = media
+                    logger.debug(f"发送群图片: {media}")
+                    kwargs['msg_type'] = 7 # 富媒体
+            if self.test_mode: 
+                return kwargs
+            if 'group_openid' in kwargs:
+                await self.client.api.post_group_message(**kwargs)
+            elif 'openid' in kwargs:
+                await self.client.api.post_c2c_message(**kwargs)
+        elif 'channel_id' in kwargs:
+            # 频道消息
+            if 'file_image' in kwargs and kwargs['file_image']:
+                kwargs['file_image'] = kwargs['file_image'].replace("file:///", "")
+                # 频道消息发图只支持本地
+                if kwargs['file_image'].startswith("http"):
+                    kwargs['file_image'] = await download_image_by_url(kwargs['file_image'])
+            if self.test_mode:
+                return kwargs
+            await self.client.api.post_message(**kwargs)
+        elif 'guild_id' in kwargs:
+            # 频道私聊消息
+            if 'file_image' in kwargs and kwargs['file_image']:
+                kwargs['file_image'] = kwargs['file_image'].replace("file:///", "")
+                if kwargs['file_image'].startswith("http"):
+                    kwargs['file_image'] = await download_image_by_url(kwargs['file_image'])
+            if self.test_mode:
+                return kwargs
+            await self.client.api.post_dms(**kwargs)
+        else:
+            raise ValueError("Unknown target type.")
+
+    async def send_msg(self, target: Dict[str, str], result_message: CommandResult):
+        '''
+        以主动的方式给频道用户、群、频道或者消息列表用户（QQ用户）发送一条消息。
+        
+        `target` 接收一个 dict 类型的值引用。
+        
+        - 如果目标是 QQ 群，请添加 key `group_openid`。
+        - 如果目标是 频道消息，请添加 key `channel_id`。
+        - 如果目标是 频道私聊，请添加 key `guild_id`。
+        - 如果目标是 QQ 用户，请添加 key `openid`。
+        '''
+        plain_text, image_path = await self._parse_to_qqofficial(result_message.message_chain)
+
+        payload = {
+            'content': plain_text,
+            **target
+        }
+        if image_path:
+            payload['file_image'] = image_path
+        await self._reply(**payload)
+
+    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/plugin/command.py

@@ -0,0 +1,25 @@
+from dataclasses import dataclass
+from type.register import RegisteredPlugins
+from typing import List, Union, Callable
+from SparkleLogging.utils.core import LogManager
+from logging import Logger
+
+logger: Logger = LogManager.GetLogger(log_name='astrbot')
+
+
+@dataclass
+class CommandRegisterRequest():
+    command_name: str
+    description: str
+    priority: int
+    handler: Callable
+    plugin_name: str = None
+
+class PluginCommandBridge():
+    def __init__(self, cached_plugins: RegisteredPlugins):
+        self.plugin_commands_waitlist: List[CommandRegisterRequest] = []
+        self.cached_plugins = cached_plugins
+        
+    def register_command(self, plugin_name, command_name, description, priority, handler):
+        self.plugin_commands_waitlist.append(CommandRegisterRequest(command_name, description, priority, handler, plugin_name))
+        

model/plugin/manager.py

@@ -0,0 +1,256 @@
+import inspect
+import os
+import sys
+import traceback
+import uuid
+import shutil
+import yaml
+
+from util.updator.plugin_updator import PluginUpdator
+from util.io import remove_dir, download_file
+from types import ModuleType
+from type.types import Context
+from type.plugin import *
+from type.register import *
+from SparkleLogging.utils.core import LogManager
+from logging import Logger
+
+logger: Logger = LogManager.GetLogger(log_name='astrbot')
+
+class PluginManager():
+    def __init__(self, context: Context):
+        self.updator = PluginUpdator()
+        self.plugin_store_path = self.updator.get_plugin_store_path()
+        self.context = context
+
+    def get_classes(self, arg: ModuleType):
+        classes = []
+        clsmembers = inspect.getmembers(arg, inspect.isclass)
+        for (name, _) in clsmembers:
+            if name.lower().endswith("plugin") or name.lower() == "main":
+                classes.append(name)
+                break
+        return classes
+
+    def get_modules(self, path):
+        modules = []
+
+        dirs = os.listdir(path)
+        # 遍历文件夹，找到 main.py 或者和文件夹同名的文件
+        for d in dirs:
+            if os.path.isdir(os.path.join(path, d)):
+                if os.path.exists(os.path.join(path, d, "main.py")):
+                    module_str = 'main'
+                elif os.path.exists(os.path.join(path, d, d + ".py")):
+                    module_str = d
+                else:
+                    print(f"插件 {d} 未找到 main.py 或者 {d}.py，跳过。")
+                    continue
+                if os.path.exists(os.path.join(path, d, "main.py")) or os.path.exists(os.path.join(path, d, d + ".py")):
+                    modules.append({
+                        "pname": d,
+                        "module": module_str,
+                        "module_path": os.path.join(path, d, module_str)
+                    })
+        return modules
+    
+    def get_plugin_modules(self):
+        plugins = []
+        try:
+            plugin_dir = self.plugin_store_path
+            if os.path.exists(plugin_dir):
+                plugins = self.get_modules(plugin_dir)
+                return plugins
+        except BaseException as e:
+            raise e
+        
+    def check_plugin_dept_update(self, target_plugin: str = None):
+        plugin_dir = self.plugin_store_path
+        if not os.path.exists(plugin_dir):
+            return False
+        to_update = []
+        if target_plugin:
+            to_update.append(target_plugin)
+        else:
+            for p in self.context.cached_plugins:
+                to_update.append(p.root_dir_name)
+        for p in to_update:
+            plugin_path = os.path.join(plugin_dir, p)
+            if os.path.exists(os.path.join(plugin_path, "requirements.txt")):
+                pth = os.path.join(plugin_path, "requirements.txt")
+                logger.info(f"正在检查更新插件 {p} 的依赖: {pth}")
+                self.update_plugin_dept(os.path.join(plugin_path, "requirements.txt"))
+
+    def update_plugin_dept(self, path):
+        mirror = "https://mirrors.aliyun.com/pypi/simple/"
+        py = sys.executable
+        os.system(f"{py} -m pip install -r {path} -i {mirror} --quiet")
+
+    def install_plugin(self, repo_url: str):
+        ppath = self.plugin_store_path
+
+        # we no longer use Git anymore :)
+        # Repo.clone_from(repo_url, to_path=plugin_path, branch='master')
+        
+        plugin_path = self.updator.update(repo_url)
+        with open(os.path.join(plugin_path, "REPO"), "w", encoding='utf-8') as f:
+            f.write(repo_url)
+
+        ok, err = self.plugin_reload()
+        if not ok:
+            raise Exception(err)
+        
+    def download_from_repo_url(self, target_path: str, repo_url: str):
+        repo_namespace = repo_url.split("/")[-2:]
+        author = repo_namespace[0]
+        repo = repo_namespace[1]
+
+        logger.info(f"正在下载插件 {repo} ...")
+        release_url = f"https://api.github.com/repos/{author}/{repo}/releases"
+        releases = self.updator.fetch_release_info(url=release_url)
+        if not releases:
+            # download from the default branch directly. 
+            logger.warn(f"未在插件 {author}/{repo} 中找到任何发布版本，将从默认分支下载。")
+            release_url = f"https://github.com/{author}/{repo}/archive/refs/heads/master.zip"
+        else:
+            release_url = releases[0]['zipball_url']
+
+        download_file(release_url, target_path + ".zip")
+
+    def get_registered_plugin(self, plugin_name: str) -> RegisteredPlugin:
+        for p in self.context.cached_plugins:
+            if p.metadata.plugin_name == plugin_name:
+                return p
+    
+    def uninstall_plugin(self, plugin_name: str):
+        plugin = self.get_registered_plugin(plugin_name, self.context.cached_plugins)
+        if not plugin:
+            raise Exception("插件不存在。")
+        root_dir_name = plugin.root_dir_name
+        ppath = self.plugin_store_path
+        self.context.cached_plugins.remove(plugin)
+        if not remove_dir(os.path.join(ppath, root_dir_name)):
+            raise Exception("移除插件成功，但是删除插件文件夹失败。您可以手动删除该文件夹，位于 addons/plugins/ 下。")
+
+    def update_plugin(self, plugin_name: str):
+        plugin = self.get_registered_plugin(plugin_name, self.context.cached_plugins)
+        if not plugin:
+            raise Exception("插件不存在。")
+        
+        self.updator.update(plugin)
+        
+    def plugin_reload(self):
+        cached_plugins = self.context.cached_plugins
+        plugins = self.get_plugin_modules()
+        if plugins is None:
+            return False, "未找到任何插件模块"
+        fail_rec = ""
+
+        registered_map = {}
+        for p in cached_plugins:
+            registered_map[p.module_path] = None
+
+        for plugin in plugins:
+            try:
+                p = plugin['module']
+                module_path = plugin['module_path']
+                root_dir_name = plugin['pname']
+
+                # self.check_plugin_dept_update(cached_plugins, root_dir_name)
+
+                module = __import__("addons.plugins." +
+                                        root_dir_name + "." + p, fromlist=[p])
+
+                cls = self.get_classes(module)
+                
+                try:
+                    # 尝试传入 ctx
+                    obj = getattr(module, cls[0])(context=self.context)
+                except:
+                    obj = getattr(module, cls[0])()
+
+                metadata = None
+
+                plugin_path = os.path.join(self.plugin_store_path, root_dir_name)
+                metadata = self.load_plugin_metadata(plugin_path=plugin_path, plugin_obj=obj)
+                
+                logger.info(f"插件 {metadata.plugin_name}({metadata.author}) 加载成功。")
+
+                if module_path not in registered_map:
+                    cached_plugins.append(RegisteredPlugin(
+                        metadata=metadata,
+                        plugin_instance=obj,
+                        module=module,
+                        module_path=module_path,
+                        root_dir_name=root_dir_name
+                    ))
+            except BaseException as e:
+                traceback.print_exc()
+                fail_rec += f"加载{p}插件出现问题，原因 {str(e)}\n"
+
+        if not fail_rec:
+            return True, None
+        else:
+            return False, fail_rec
+        
+    def install_plugin_from_file(self, zip_file_path: str):
+        # try to unzip
+        temp_dir = os.path.join(os.path.dirname(zip_file_path), str(uuid.uuid4()))
+        self.updator.unzip_file(zip_file_path, temp_dir)
+        # check if the plugin has metadata.yaml
+        if not os.path.exists(os.path.join(temp_dir, "metadata.yaml")):
+            remove_dir(temp_dir)
+            raise Exception("插件缺少 metadata.yaml 文件。")
+        
+        metadata = self.load_plugin_metadata(temp_dir)
+        plugin_name = metadata.plugin_name
+        if not plugin_name: 
+            remove_dir(temp_dir)
+            raise Exception("插件 metadata.yaml 文件中 name 字段为空。")
+        plugin_name = self.updator.format_name(plugin_name)
+
+        ppath = self.plugin_store_path
+        plugin_path = os.path.join(ppath, plugin_name)
+        if os.path.exists(plugin_path): 
+            remove_dir(plugin_path)
+
+        # move to the target path
+        shutil.move(temp_dir, plugin_path)
+        
+        if metadata.repo:
+            with open(os.path.join(plugin_path, "REPO"), "w", encoding='utf-8') as f:
+                f.write(metadata.repo)
+
+        # remove the temp dir
+        remove_dir(temp_dir)
+
+        ok, err = self.plugin_reload()
+        if not ok:
+            raise Exception(err)
+
+    def load_plugin_metadata(self, plugin_path: str, plugin_obj = None) -> PluginMetadata:
+        metadata = None
+        
+        if not os.path.exists(plugin_path):
+            raise Exception("插件不存在。")
+        
+        if os.path.exists(os.path.join(plugin_path, "metadata.yaml")):
+            with open(os.path.join(plugin_path, "metadata.yaml"), "r", encoding='utf-8') as f:
+                metadata = yaml.safe_load(f)
+        elif plugin_obj:
+            # 使用 info() 函数
+            metadata = plugin_obj.info()
+        
+        if isinstance(metadata, dict):
+            if 'name' not in metadata or 'desc' not in metadata or 'version' not in metadata or 'author' not in metadata:
+                raise Exception("插件元数据信息不完整。")
+            metadata = PluginMetadata(
+                plugin_name=metadata['name'],
+                plugin_type=PluginType.COMMON if 'plugin_type' not in metadata else PluginType(metadata['plugin_type']),
+                author=metadata['author'],
+                desc=metadata['desc'],
+                version=metadata['version'],
+                repo=metadata['repo'] if 'repo' in metadata else None
+            )
+            
+        return metadata

model/provider/openai_official.py

@@ -0,0 +1,508 @@
+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 astrbot.persist.helper 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
+
+from type.types import Context
+
+logger: Logger = LogManager.GetLogger(log_name='astrbot')
+
+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, context: Context) -> 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
+        
+        cfg = context.base_config['openai']
+
+        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
+        
+        logger.info("正在载入分词器 cl100k_base...")
+        self.tokenizer = tiktoken.get_encoding("cl100k_base") # todo: 根据 model 切换分词器
+        logger.info("分词器载入完成。")
+        
+        self.DEFAULT_PERSONALITY = context.default_personality
+        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):
+        try:
+            models = await self.client.models.list()
+        except NotFoundError as e:
+            bu = str(self.client.base_url)
+            self.client.base_url = bu + "/v1"
+            models = await self.client.models.list()
+        finally:
+            return filter(lambda x: x.id.startswith("gpt"), models.data)
+    
+    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(traceback.format_exc())
+                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()

requirements.txt

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

type/astrbot_message.py

@@ -0,0 +1,37 @@
+import time
+from enum import Enum
+from typing import List
+from dataclasses import dataclass
+from nakuru.entities.components import BaseMessageComponent
+
+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 __init__(self) -> None:
+        self.timestamp = int(time.time())
+
+    def __str__(self) -> str:
+        return str(self.__dict__)

type/command.py

@@ -0,0 +1,76 @@
+from typing import Union, List, Callable
+from dataclasses import dataclass
+from nakuru.entities.components import Plain, Image
+
+
+@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 = True, success: bool = True, 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
+        self.is_use_t2i = None # default
+        
+    def message(self, message: str):
+        '''
+        快捷回复消息。
+        
+        CommandResult().message("Hello, world!")
+        '''
+        self.message_chain = [Plain(message), ]
+        return self
+    
+    def error(self, message: str):
+        '''
+        快捷回复消息。
+        
+        CommandResult().error("Hello, world!")
+        '''
+        self.success = False
+        self.message_chain = [Plain(message), ]
+        return self
+    
+    def url_image(self, url: str):
+        '''
+        快捷回复图片(网络url的格式)。
+        
+        CommandResult().image("https://example.com/image.jpg")
+        '''
+        self.message_chain = [Image.fromURL(url), ]
+        return self
+    
+    def file_image(self, path: str):
+        '''
+        快捷回复图片(本地文件路径的格式)。
+        
+        CommandResult().image("image.jpg")
+        '''
+        self.message_chain = [Image.fromFileSystem(path), ]
+        return self
+    
+    # def use_t2i(self, use_t2i: bool):
+    #     '''
+    #     设置是否使用文本转图片服务。如果不设置，则跟随用户的设置。
+        
+    #     CommandResult().use_t2i(False)
+    #     '''
+    #     self.is_use_t2i = use_t2i
+    #     return self
+
+    def _result_tuple(self):
+        return (self.success, self.message_chain, self.command_name)

type/config.py

@@ -0,0 +1 @@
+VERSION = '3.3.4'

type/message_event.py

@@ -0,0 +1,52 @@
+from typing import List, Union, Optional
+from dataclasses import dataclass
+from type.register import RegisteredPlatform
+from type.types import Context
+from type.astrbot_message import AstrBotMessage
+
+class AstrMessageEvent():
+
+    def __init__(self,
+                 message_str: str,
+                 message_obj: AstrBotMessage,
+                 platform: RegisteredPlatform,
+                 role: str,
+                 context: Context,
+                 session_id: str = None):
+        '''
+        AstrBot 消息事件。
+        
+        `message_str`: 纯消息字符串
+        `message_obj`: AstrBotMessage 对象
+        `platform`: 平台对象
+        `role`: 角色，`admin` or `member`
+        `context`: 全局对象
+        `session_id`: 会话id
+        '''
+        self.context = context
+        self.message_str = message_str
+        self.message_obj = message_obj
+        self.platform = platform
+        self.role = role
+        self.session_id = session_id
+        
+    def from_astrbot_message(message: AstrBotMessage, 
+                             context: Context,
+                             platform_name: str, 
+                             session_id: str,
+                             role: str = "member"):
+        
+        ame = AstrMessageEvent(message.message_str, 
+                               message, 
+                               context.find_platform(platform_name), 
+                               role, 
+                               context, 
+                               session_id)
+        return ame
+
+@dataclass
+class MessageResult():
+    result_message: Union[str, list]
+    is_command_call: Optional[bool] = False
+    use_t2i: Optional[bool] = None # None 为跟随用户设置
+    callback: Optional[callable] = None

type/plugin.py

@@ -0,0 +1,53 @@
+from enum import Enum
+from types import ModuleType
+from typing import List
+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})"
+
+
+@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]

type/register.py

@@ -0,0 +1,27 @@
+from model.provider.provider import Provider as LLMProvider
+from model.platform import Platform
+from type.plugin import *
+from typing import List
+from dataclasses import dataclass
+
+@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 +1,86 @@
+import asyncio
+from asyncio import Task
+from type.register import *
+from typing import List, Awaitable
+from logging import Logger
+from util.cmd_config import CmdConfig
+from util.t2i.renderer import TextToImageRenderer
+from util.updator.astrbot_updator import AstrBotUpdator
+from util.image_uploader import ImageUploader
+from util.updator.plugin_updator import PluginUpdator
+from model.plugin.command import PluginCommandBridge
+from model.provider.provider import Provider
+
+
+class Context:
+    '''
+    存放一些公用的数据，用于在不同模块(如core与command)之间传递
+    '''
+
+    def __init__(self):
+        self.logger: Logger = None
+        self.base_config: dict = None  # 配置（期望启动机器人后是不变的）
+        self.config_helper: CmdConfig = None
+        self.cached_plugins: List[RegisteredPlugin] = []  # 缓存的插件
+        self.platforms: List[RegisteredPlatform] = []
+        self.llms: List[RegisteredLLM] = []
+        self.default_personality: dict = None
+        
+        self.unique_session = False # 独立会话
+        self.version: str = None  # 机器人版本
+        self.nick = None  # gocq 的唤醒词
+        self.stat = {}
+        self.t2i_mode = False
+        self.web_search = False  # 是否开启了网页搜索
+        self.reply_prefix = ""
+        self.updator: AstrBotUpdator = None
+        self.plugin_updator: PluginUpdator = None
+        self.metrics_uploader = None
+        
+        self.plugin_command_bridge = PluginCommandBridge(self.cached_plugins)
+        self.image_renderer = TextToImageRenderer()
+        self.image_uploader = ImageUploader()
+        self.message_handler = None # see astrbot/message/handler.py
+        self.ext_tasks: List[Task] = []
+
+    def register_commands(self, 
+                          plugin_name: str, 
+                          command_name: str, 
+                          description: str, 
+                          priority: int, 
+                          handler: callable):
+        '''
+        注册插件指令。
+        
+        `plugin_name`: 插件名，注意需要和你的 metadata 中的一致。
+        `command_name`: 指令名，如 "help"。不需要带前缀。
+        `description`: 指令描述。
+        `priority`: 优先级越高，越先被处理。合理的优先级应该在 1-10 之间。
+        `handler`: 指令处理函数。函数参数：message: AstrMessageEvent, context: Context
+        '''
+        self.plugin_command_bridge.register_command(plugin_name, command_name, description, priority, handler)
+        
+    def register_task(self, coro: Awaitable, task_name: str):
+        '''
+        注册任务。适用于需要长时间运行的插件。
+        
+        `coro`: 协程对象
+        `task_name`: 任务名，用于标识任务。自定义即可。
+        '''
+        task = asyncio.create_task(coro, name=task_name)
+        self.ext_tasks.append(task)
+        
+    def register_provider(self, llm_name: str, provider: Provider, origin: str = ''):
+        '''
+        注册一个提供 LLM 资源的 Provider。
+        
+        `provider`: Provider 对象。即你的实现需要继承 Provider 类。至少应该实现 text_chat() 方法。
+        '''
+        self.llms.append(RegisteredLLM(llm_name, provider, origin))
+    
+    def find_platform(self, platform_name: str) -> RegisteredPlatform:
+        for platform in self.platforms:
+            if platform_name == platform.platform_name:
+                return platform
+            
+        raise ValueError("couldn't find the platform you specified")

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=prompt, session_id=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(prompt=after_prompt, session_id=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.websearch.config import HEADERS, USER_AGENTS
+from util.websearch.bing import Bing
+from util.websearch.sogo import Sogo
+from util.websearch.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')
+
+
+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=prompt, session_id=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=prompt, session_id=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=prompt, session_id=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=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(prompt=summary_prompt, session_id=session_id)
+        return ret
+    return function_invoked_ret

util/cmd_config.py

@@ -0,0 +1,83 @@
+import os
+import json
+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()

util/config_utils.py

@@ -0,0 +1,147 @@
+import json, os
+from util.cmd_config import CmdConfig
+from type.config import VERSION
+from type.types import Context
+
+def init_configs():
+    '''
+    初始化必需的配置项
+    '''
+    cc = CmdConfig()
+    
+    cc.init_attributes("qqbot", {
+        "enable": False,
+        "appid": "",
+        "token": "",
+    })
+    cc.init_attributes("gocqbot", {
+        "enable": False,
+    })
+    cc.init_attributes("uniqueSessionMode", False)
+    cc.init_attributes("dump_history_interval", 10)
+    cc.init_attributes("limit", {
+        "time": 60,
+        "count": 30,
+    })
+    cc.init_attributes("notice", "")
+    cc.init_attributes("direct_message_mode", True)
+    cc.init_attributes("reply_prefix", "")
+    cc.init_attributes("baidu_aip", {
+        "enable": False,
+        "app_id": "",
+        "api_key": "",
+        "secret_key": ""
+    })
+    cc.init_attributes("openai", {
+        "key": [],
+        "api_base": "",
+        "chatGPTConfigs": {
+            "model": "gpt-4o",
+            "max_tokens": 6000,
+            "temperature": 0.9,
+            "top_p": 1,
+            "frequency_penalty": 0,
+            "presence_penalty": 0,
+        },
+        "total_tokens_limit": 10000,
+    })
+    
+    
+    cc.init_attributes("qq_forward_threshold", 200)
+    cc.init_attributes("qq_welcome", "")
+    cc.init_attributes("qq_pic_mode", True)
+    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", "")
+    
+    # aiocqhttp 适配器
+    cc.init_attributes("aiocqhttp", {
+        "enable": False,
+        "ws_reverse_host": "",
+        "ws_reverse_port": 0,
+    })
+
+def try_migrate_config():
+    '''
+    将 cmd_config.json 迁移至 data/cmd_config.json (如果存在的话)
+    '''
+    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
+        
+def inject_to_context(context: Context):
+    '''
+    将配置注入到 Context 中。
+    this method returns all the configs
+    '''
+    cc = CmdConfig()
+    
+    context.version = VERSION
+    context.base_config = cc.get_all()
+    
+    cfg = context.base_config
+    
+    if 'reply_prefix' in cfg:
+        # 适配旧版配置
+        if isinstance(cfg['reply_prefix'], dict):
+            context.reply_prefix = ""
+            cfg['reply_prefix'] = ""
+            cc.put("reply_prefix", "")
+        else:
+            context.reply_prefix = cfg['reply_prefix']
+
+    default_personality_str = cc.get("default_personality_str", "")
+    if default_personality_str == "":
+        context.default_personality = None
+    else:
+        context.default_personality = {
+            "name": "default",
+            "prompt": default_personality_str,
+        }
+
+    if 'uniqueSessionMode' in cfg and cfg['uniqueSessionMode']:
+        context.unique_session = True
+    else:
+        context.unique_session = False
+        
+    nick_qq = cc.get("nick_qq", None)
+    if nick_qq == None:
+        nick_qq = ("/", )
+    if isinstance(nick_qq, str):
+        nick_qq = (nick_qq, )
+    if isinstance(nick_qq, list):
+        nick_qq = tuple(nick_qq)
+    context.nick = nick_qq
+    context.t2i_mode = cc.get("qq_pic_mode", True)
+    
+    return cfg