mirror of
https://github.com/langbot-app/LangBot.git
synced 2025-11-25 19:37:36 +08:00
Merge branch 'rc/new-plugin' into refactor/new-plugin-system
This commit is contained in:
Junyan Qin
2
.github/pull_request_template.md
vendored
2
.github/pull_request_template.md
vendored
@@ -9,7 +9,7 @@
|
||||
|
||||
*请在方括号间写`x`以打勾 / Please tick the box with `x`*
|
||||
|
||||
- [ ] 阅读仓库[贡献指引](https://github.com/RockChinQ/LangBot/blob/master/CONTRIBUTING.md)了吗？ / Have you read the [contribution guide](https://github.com/RockChinQ/LangBot/blob/master/CONTRIBUTING.md)?
|
||||
- [ ] 阅读仓库[贡献指引](https://github.com/langbot-app/LangBot/blob/master/CONTRIBUTING.md)了吗？ / Have you read the [contribution guide](https://github.com/langbot-app/LangBot/blob/master/CONTRIBUTING.md)?
|
||||
- [ ] 与项目所有者沟通过了吗？ / Have you communicated with the project maintainer?
|
||||
- [ ] 我确定已自行测试所作的更改，确保功能符合预期。 / I have tested the changes and ensured they work as expected.
|
||||
|
||||
|
||||
1
.gitignore
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1
.gitignore
vendored
@@ -43,3 +43,4 @@ test.py
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/web_ui
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.venv/
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uv.lock
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/test
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||||
80
README.md
80
README.md
@@ -1,50 +1,40 @@
|
||||
|
||||
<p align="center">
|
||||
<a href="https://langbot.app">
|
||||
<img src="https://docs.langbot.app/social.png" alt="LangBot"/>
|
||||
<img src="https://docs.langbot.app/social_zh.png" alt="LangBot"/>
|
||||
</a>
|
||||
|
||||
<div align="center">
|
||||
|
||||
<a href="https://trendshift.io/repositories/12901" target="_blank"><img src="https://trendshift.io/api/badge/repositories/12901" alt="RockChinQ%2FLangBot | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
|
||||
<a href="https://hellogithub.com/repository/langbot-app/LangBot" target="_blank"><img src="https://abroad.hellogithub.com/v1/widgets/recommend.svg?rid=5ce8ae2aa4f74316bf393b57b952433c&claim_uid=gtmc6YWjMZkT21R" alt="Featured｜HelloGitHub" style="width: 250px; height: 54px;" width="250" height="54" /></a>
|
||||
|
||||
[English](README_EN.md) / 简体中文 / [繁體中文](README_TW.md) / [日本語](README_JP.md) / (PR for your language)
|
||||
|
||||
[](https://discord.gg/wdNEHETs87)
|
||||
[](https://qm.qq.com/q/JLi38whHum)
|
||||
[](https://deepwiki.com/langbot-app/LangBot)
|
||||
[](https://github.com/langbot-app/LangBot/releases/latest)
|
||||
<img src="https://img.shields.io/badge/python-3.10 ~ 3.13 -blue.svg" alt="python">
|
||||
[](https://gitcode.com/RockChinQ/LangBot)
|
||||
|
||||
<a href="https://langbot.app">项目主页</a> ｜
|
||||
<a href="https://docs.langbot.app/zh/insight/guide.html">部署文档</a> ｜
|
||||
<a href="https://docs.langbot.app/zh/plugin/plugin-intro.html">插件介绍</a> ｜
|
||||
<a href="https://github.com/RockChinQ/LangBot/issues/new?assignees=&labels=%E7%8B%AC%E7%AB%8B%E6%8F%92%E4%BB%B6&projects=&template=submit-plugin.yml&title=%5BPlugin%5D%3A+%E8%AF%B7%E6%B1%82%E7%99%BB%E8%AE%B0%E6%96%B0%E6%8F%92%E4%BB%B6">提交插件</a>
|
||||
<a href="https://github.com/langbot-app/LangBot/issues/new?assignees=&labels=%E7%8B%AC%E7%AB%8B%E6%8F%92%E4%BB%B6&projects=&template=submit-plugin.yml&title=%5BPlugin%5D%3A+%E8%AF%B7%E6%B1%82%E7%99%BB%E8%AE%B0%E6%96%B0%E6%8F%92%E4%BB%B6">提交插件</a>
|
||||
|
||||
<div align="center">
|
||||
😎高稳定、🧩支持扩展、🦄多模态 - 大模型原生即时通信机器人平台🤖
|
||||
</div>
|
||||
|
||||
<br/>
|
||||
|
||||
[](https://discord.gg/wdNEHETs87)
|
||||
[](https://qm.qq.com/q/JLi38whHum)
|
||||
[](https://deepwiki.com/RockChinQ/LangBot)
|
||||
[](https://github.com/RockChinQ/LangBot/releases/latest)
|
||||
<img src="https://img.shields.io/badge/python-3.10 ~ 3.13 -blue.svg" alt="python">
|
||||
[](https://gitcode.com/RockChinQ/LangBot)
|
||||
|
||||
简体中文 / [English](README_EN.md) / [日本語](README_JP.md) / (PR for your language)
|
||||
|
||||
</div>
|
||||
|
||||
</p>
|
||||
|
||||
## ✨ 特性
|
||||
|
||||
- 💬 大模型对话、Agent：支持多种大模型，适配群聊和私聊；具有多轮对话、工具调用、多模态能力，并深度适配 [Dify](https://dify.ai)。目前支持 QQ、QQ频道、企业微信、个人微信、飞书、Discord、Telegram 等平台。
|
||||
- 🛠️ 高稳定性、功能完备：原生支持访问控制、限速、敏感词过滤等机制；配置简单，支持多种部署方式。支持多流水线配置，不同机器人用于不同应用场景。
|
||||
- 🧩 插件扩展、活跃社区：支持事件驱动、组件扩展等插件机制；适配 Anthropic [MCP 协议](https://modelcontextprotocol.io/)；目前已有数百个插件。
|
||||
- 😻 Web 管理面板：支持通过浏览器管理 LangBot 实例，不再需要手动编写配置文件。
|
||||
LangBot 是一个开源的大语言模型原生即时通信机器人开发平台，旨在提供开箱即用的 IM 机器人开发体验，具有 Agent、RAG、MCP 等多种 LLM 应用功能，适配全球主流即时通信平台，并提供丰富的 API 接口，支持自定义开发。
|
||||
|
||||
## 📦 开始使用
|
||||
|
||||
#### Docker Compose 部署
|
||||
|
||||
```bash
|
||||
git clone https://github.com/RockChinQ/LangBot
|
||||
git clone https://github.com/langbot-app/LangBot
|
||||
cd LangBot
|
||||
docker compose up -d
|
||||
```
|
||||
@@ -71,23 +61,25 @@ docker compose up -d
|
||||
|
||||
直接使用发行版运行，查看文档[手动部署](https://docs.langbot.app/zh/deploy/langbot/manual.html)。
|
||||
|
||||
## 📸 效果展示
|
||||
## 😎 保持更新
|
||||
|
||||
<img alt="bots" src="https://docs.langbot.app/webui/bot-page.png" width="450px"/>
|
||||
点击仓库右上角 Star 和 Watch 按钮，获取最新动态。
|
||||
|
||||
<img alt="bots" src="https://docs.langbot.app/webui/create-model.png" width="450px"/>
|
||||
|
||||
|
||||
<img alt="bots" src="https://docs.langbot.app/webui/edit-pipeline.png" width="450px"/>
|
||||
## ✨ 特性
|
||||
|
||||
<img alt="bots" src="https://docs.langbot.app/webui/plugin-market.png" width="450px"/>
|
||||
- 💬 大模型对话、Agent：支持多种大模型，适配群聊和私聊；具有多轮对话、工具调用、多模态、流式输出能力，自带 RAG（知识库）实现，并深度适配 [Dify](https://dify.ai)。
|
||||
- 🤖 多平台支持：目前支持 QQ、QQ频道、企业微信、个人微信、飞书、Discord、Telegram 等平台。
|
||||
- 🛠️ 高稳定性、功能完备：原生支持访问控制、限速、敏感词过滤等机制；配置简单，支持多种部署方式。支持多流水线配置，不同机器人用于不同应用场景。
|
||||
- 🧩 插件扩展、活跃社区：支持事件驱动、组件扩展等插件机制；适配 Anthropic [MCP 协议](https://modelcontextprotocol.io/)；目前已有数百个插件。
|
||||
- 😻 Web 管理面板：支持通过浏览器管理 LangBot 实例，不再需要手动编写配置文件。
|
||||
|
||||
<img alt="回复效果（带有联网插件）" src="https://docs.langbot.app/QChatGPT-0516.png" width="500px"/>
|
||||
详细规格特性请访问[文档](https://docs.langbot.app/zh/insight/features.html)。
|
||||
|
||||
- WebUI Demo: https://demo.langbot.dev/
|
||||
或访问 demo 环境：https://demo.langbot.dev/
|
||||
- 登录信息：邮箱：`demo@langbot.app` 密码：`langbot123456`
|
||||
- 注意：仅展示webui效果，公开环境，请不要在其中填入您的任何敏感信息。
|
||||
|
||||
## 🔌 组件兼容性
|
||||
- 注意：仅展示 WebUI 效果，公开环境，请不要在其中填入您的任何敏感信息。
|
||||
|
||||
### 消息平台
|
||||
|
||||
@@ -104,10 +96,6 @@ docker compose up -d
|
||||
| Discord | ✅ | |
|
||||
| Telegram | ✅ | |
|
||||
| Slack | ✅ | |
|
||||
| LINE | 🚧 | |
|
||||
| WhatsApp | 🚧 | |
|
||||
|
||||
🚧: 正在开发中
|
||||
|
||||
### 大模型能力
|
||||
|
||||
@@ -119,8 +107,10 @@ docker compose up -d
|
||||
| [Anthropic](https://www.anthropic.com/) | ✅ | |
|
||||
| [xAI](https://x.ai/) | ✅ | |
|
||||
| [智谱AI](https://open.bigmodel.cn/) | ✅ | |
|
||||
| [优云智算](https://www.compshare.cn/?ytag=GPU_YY-gh_langbot) | ✅ | 大模型和 GPU 资源平台 |
|
||||
| [PPIO](https://ppinfra.com/user/register?invited_by=QJKFYD&utm_source=github_langbot) | ✅ | 大模型和 GPU 资源平台 |
|
||||
| [302 AI](https://share.302.ai/SuTG99) | ✅ | 大模型聚合平台 |
|
||||
| [胜算云](https://www.shengsuanyun.com/?from=CH_KYIPP758) | ✅ | 大模型和 GPU 资源平台 |
|
||||
| [302.AI](https://share.302.ai/SuTG99) | ✅ | 大模型聚合平台 |
|
||||
| [Google Gemini](https://aistudio.google.com/prompts/new_chat) | ✅ | |
|
||||
| [Dify](https://dify.ai) | ✅ | LLMOps 平台 |
|
||||
| [Ollama](https://ollama.com/) | ✅ | 本地大模型运行平台 |
|
||||
@@ -148,14 +138,8 @@ docker compose up -d
|
||||
|
||||
## 😘 社区贡献
|
||||
|
||||
感谢以下[代码贡献者](https://github.com/RockChinQ/LangBot/graphs/contributors)和社区里其他成员对 LangBot 的贡献：
|
||||
感谢以下[代码贡献者](https://github.com/langbot-app/LangBot/graphs/contributors)和社区里其他成员对 LangBot 的贡献：
|
||||
|
||||
<a href="https://github.com/RockChinQ/LangBot/graphs/contributors">
|
||||
<img src="https://contrib.rocks/image?repo=RockChinQ/LangBot" />
|
||||
<a href="https://github.com/langbot-app/LangBot/graphs/contributors">
|
||||
<img src="https://contrib.rocks/image?repo=langbot-app/LangBot" />
|
||||
</a>
|
||||
|
||||
## 😎 保持更新
|
||||
|
||||
点击仓库右上角 Star 和 Watch 按钮，获取最新动态。
|
||||
|
||||
|
||||
|
||||
76
README_EN.md
76
README_EN.md
@@ -1,48 +1,34 @@
|
||||
<p align="center">
|
||||
<a href="https://langbot.app">
|
||||
<img src="https://docs.langbot.app/social.png" alt="LangBot"/>
|
||||
<img src="https://docs.langbot.app/social_en.png" alt="LangBot"/>
|
||||
</a>
|
||||
|
||||
<div align="center">
|
||||
|
||||
<a href="https://trendshift.io/repositories/12901" target="_blank"><img src="https://trendshift.io/api/badge/repositories/12901" alt="RockChinQ%2FLangBot | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
|
||||
English / [简体中文](README.md) / [繁體中文](README_TW.md) / [日本語](README_JP.md) / (PR for your language)
|
||||
|
||||
[](https://discord.gg/wdNEHETs87)
|
||||
[](https://deepwiki.com/langbot-app/LangBot)
|
||||
[](https://github.com/langbot-app/LangBot/releases/latest)
|
||||
<img src="https://img.shields.io/badge/python-3.10 ~ 3.13 -blue.svg" alt="python">
|
||||
|
||||
<a href="https://langbot.app">Home</a> ｜
|
||||
<a href="https://docs.langbot.app/en/insight/guide.html">Deployment</a> ｜
|
||||
<a href="https://docs.langbot.app/en/plugin/plugin-intro.html">Plugin</a> ｜
|
||||
<a href="https://github.com/RockChinQ/LangBot/issues/new?assignees=&labels=%E7%8B%AC%E7%AB%8B%E6%8F%92%E4%BB%B6&projects=&template=submit-plugin.yml&title=%5BPlugin%5D%3A+%E8%AF%B7%E6%B1%82%E7%99%BB%E8%AE%B0%E6%96%B0%E6%8F%92%E4%BB%B6">Submit Plugin</a>
|
||||
|
||||
<div align="center">
|
||||
😎High Stability, 🧩Extension Supported, 🦄Multi-modal - LLM Native Instant Messaging Bot Platform🤖
|
||||
</div>
|
||||
|
||||
<br/>
|
||||
|
||||
|
||||
[](https://discord.gg/wdNEHETs87)
|
||||
[](https://deepwiki.com/RockChinQ/LangBot)
|
||||
[](https://github.com/RockChinQ/LangBot/releases/latest)
|
||||
<img src="https://img.shields.io/badge/python-3.10 ~ 3.13 -blue.svg" alt="python">
|
||||
|
||||
[简体中文](README.md) / English / [日本語](README_JP.md) / (PR for your language)
|
||||
<a href="https://github.com/langbot-app/LangBot/issues/new?assignees=&labels=%E7%8B%AC%E7%AB%8B%E6%8F%92%E4%BB%B6&projects=&template=submit-plugin.yml&title=%5BPlugin%5D%3A+%E8%AF%B7%E6%B1%82%E7%99%BB%E8%AE%B0%E6%96%B0%E6%8F%92%E4%BB%B6">Submit Plugin</a>
|
||||
|
||||
</div>
|
||||
|
||||
</p>
|
||||
|
||||
## ✨ Features
|
||||
|
||||
- 💬 Chat with LLM / Agent: Supports multiple LLMs, adapt to group chats and private chats; Supports multi-round conversations, tool calls, and multi-modal capabilities. Deeply integrates with [Dify](https://dify.ai). Currently supports QQ, QQ Channel, WeCom, personal WeChat, Lark, DingTalk, Discord, Telegram, etc.
|
||||
- 🛠️ High Stability, Feature-rich: Native access control, rate limiting, sensitive word filtering, etc. mechanisms; Easy to use, supports multiple deployment methods. Supports multiple pipeline configurations, different bots can be used for different scenarios.
|
||||
- 🧩 Plugin Extension, Active Community: Support event-driven, component extension, etc. plugin mechanisms; Integrate Anthropic [MCP protocol](https://modelcontextprotocol.io/); Currently has hundreds of plugins.
|
||||
- 😻 [New] Web UI: Support management LangBot instance through the browser. No need to manually write configuration files.
|
||||
LangBot is an open-source LLM native instant messaging robot development platform, aiming to provide out-of-the-box IM robot development experience, with Agent, RAG, MCP and other LLM application functions, adapting to global instant messaging platforms, and providing rich API interfaces, supporting custom development.
|
||||
|
||||
## 📦 Getting Started
|
||||
|
||||
#### Docker Compose Deployment
|
||||
|
||||
```bash
|
||||
git clone https://github.com/RockChinQ/LangBot
|
||||
git clone https://github.com/langbot-app/LangBot
|
||||
cd LangBot
|
||||
docker compose up -d
|
||||
```
|
||||
@@ -69,23 +55,25 @@ Community contributed Zeabur template.
|
||||
|
||||
Directly use the released version to run, see the [Manual Deployment](https://docs.langbot.app/en/deploy/langbot/manual.html) documentation.
|
||||
|
||||
## 📸 Demo
|
||||
## 😎 Stay Ahead
|
||||
|
||||
<img alt="bots" src="https://docs.langbot.app/webui/bot-page.png" width="400px"/>
|
||||
Click the Star and Watch button in the upper right corner of the repository to get the latest updates.
|
||||
|
||||
<img alt="bots" src="https://docs.langbot.app/webui/create-model.png" width="400px"/>
|
||||
|
||||
|
||||
<img alt="bots" src="https://docs.langbot.app/webui/edit-pipeline.png" width="400px"/>
|
||||
## ✨ Features
|
||||
|
||||
<img alt="bots" src="https://docs.langbot.app/webui/plugin-market.png" width="400px"/>
|
||||
- 💬 Chat with LLM / Agent: Supports multiple LLMs, adapt to group chats and private chats; Supports multi-round conversations, tool calls, multi-modal, and streaming output capabilities. Built-in RAG (knowledge base) implementation, and deeply integrates with [Dify](https://dify.ai).
|
||||
- 🤖 Multi-platform Support: Currently supports QQ, QQ Channel, WeCom, personal WeChat, Lark, DingTalk, Discord, Telegram, etc.
|
||||
- 🛠️ High Stability, Feature-rich: Native access control, rate limiting, sensitive word filtering, etc. mechanisms; Easy to use, supports multiple deployment methods. Supports multiple pipeline configurations, different bots can be used for different scenarios.
|
||||
- 🧩 Plugin Extension, Active Community: Support event-driven, component extension, etc. plugin mechanisms; Integrate Anthropic [MCP protocol](https://modelcontextprotocol.io/); Currently has hundreds of plugins.
|
||||
- 😻 Web UI: Support management LangBot instance through the browser. No need to manually write configuration files.
|
||||
|
||||
<img alt="Reply Effect (with Internet Plugin)" src="https://docs.langbot.app/QChatGPT-0516.png" width="500px"/>
|
||||
For more detailed specifications, please refer to the [documentation](https://docs.langbot.app/en/insight/features.html).
|
||||
|
||||
- WebUI Demo: https://demo.langbot.dev/
|
||||
Or visit the demo environment: https://demo.langbot.dev/
|
||||
- Login information: Email: `demo@langbot.app` Password: `langbot123456`
|
||||
- Note: Only the WebUI effect is shown, please do not fill in any sensitive information in the public environment.
|
||||
|
||||
## 🔌 Component Compatibility
|
||||
- Note: For WebUI demo only, please do not fill in any sensitive information in the public environment.
|
||||
|
||||
### Message Platform
|
||||
|
||||
@@ -101,10 +89,6 @@ Directly use the released version to run, see the [Manual Deployment](https://do
|
||||
| Discord | ✅ | |
|
||||
| Telegram | ✅ | |
|
||||
| Slack | ✅ | |
|
||||
| LINE | 🚧 | |
|
||||
| WhatsApp | 🚧 | |
|
||||
|
||||
🚧: In development
|
||||
|
||||
### LLMs
|
||||
|
||||
@@ -116,9 +100,11 @@ Directly use the released version to run, see the [Manual Deployment](https://do
|
||||
| [Anthropic](https://www.anthropic.com/) | ✅ | |
|
||||
| [xAI](https://x.ai/) | ✅ | |
|
||||
| [Zhipu AI](https://open.bigmodel.cn/) | ✅ | |
|
||||
| [CompShare](https://www.compshare.cn/?ytag=GPU_YY-gh_langbot) | ✅ | LLM and GPU resource platform |
|
||||
| [Dify](https://dify.ai) | ✅ | LLMOps platform |
|
||||
| [PPIO](https://ppinfra.com/user/register?invited_by=QJKFYD&utm_source=github_langbot) | ✅ | LLM and GPU resource platform |
|
||||
| [302 AI](https://share.302.ai/SuTG99) | ✅ | LLM gateway(MaaS) |
|
||||
| [ShengSuanYun](https://www.shengsuanyun.com/?from=CH_KYIPP758) | ✅ | LLM and GPU resource platform |
|
||||
| [302.AI](https://share.302.ai/SuTG99) | ✅ | LLM gateway(MaaS) |
|
||||
| [Google Gemini](https://aistudio.google.com/prompts/new_chat) | ✅ | |
|
||||
| [Ollama](https://ollama.com/) | ✅ | Local LLM running platform |
|
||||
| [LMStudio](https://lmstudio.ai/) | ✅ | Local LLM running platform |
|
||||
@@ -131,14 +117,8 @@ Directly use the released version to run, see the [Manual Deployment](https://do
|
||||
|
||||
## 🤝 Community Contribution
|
||||
|
||||
Thank you for the following [code contributors](https://github.com/RockChinQ/LangBot/graphs/contributors) and other members in the community for their contributions to LangBot:
|
||||
Thank you for the following [code contributors](https://github.com/langbot-app/LangBot/graphs/contributors) and other members in the community for their contributions to LangBot:
|
||||
|
||||
<a href="https://github.com/RockChinQ/LangBot/graphs/contributors">
|
||||
<img src="https://contrib.rocks/image?repo=RockChinQ/LangBot" />
|
||||
<a href="https://github.com/langbot-app/LangBot/graphs/contributors">
|
||||
<img src="https://contrib.rocks/image?repo=langbot-app/LangBot" />
|
||||
</a>
|
||||
|
||||
## 😎 Stay Ahead
|
||||
|
||||
Click the Star and Watch button in the upper right corner of the repository to get the latest updates.
|
||||
|
||||
|
||||
77
README_JP.md
77
README_JP.md
@@ -1,47 +1,34 @@
|
||||
<p align="center">
|
||||
<a href="https://langbot.app">
|
||||
<img src="https://docs.langbot.app/social.png" alt="LangBot"/>
|
||||
<img src="https://docs.langbot.app/social_en.png" alt="LangBot"/>
|
||||
</a>
|
||||
|
||||
<div align="center">
|
||||
|
||||
<a href="https://trendshift.io/repositories/12901" target="_blank"><img src="https://trendshift.io/api/badge/repositories/12901" alt="RockChinQ%2FLangBot | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
|
||||
[English](README_EN.md) / [简体中文](README.md) / [繁體中文](README_TW.md) / 日本語 / (PR for your language)
|
||||
|
||||
[](https://discord.gg/wdNEHETs87)
|
||||
[](https://deepwiki.com/langbot-app/LangBot)
|
||||
[](https://github.com/langbot-app/LangBot/releases/latest)
|
||||
<img src="https://img.shields.io/badge/python-3.10 ~ 3.13 -blue.svg" alt="python">
|
||||
|
||||
<a href="https://langbot.app">ホーム</a> ｜
|
||||
<a href="https://docs.langbot.app/en/insight/guide.html">デプロイ</a> ｜
|
||||
<a href="https://docs.langbot.app/en/plugin/plugin-intro.html">プラグイン</a> ｜
|
||||
<a href="https://github.com/RockChinQ/LangBot/issues/new?assignees=&labels=%E7%8B%AC%E7%AB%8B%E6%8F%92%E4%BB%B6&projects=&template=submit-plugin.yml&title=%5BPlugin%5D%3A+%E8%AF%B7%E6%B1%82%E7%99%BB%E8%AE%B0%E6%96%B0%E6%8F%92%E4%BB%B6">プラグインの提出</a>
|
||||
|
||||
<div align="center">
|
||||
😎高い安定性、🧩拡張サポート、🦄マルチモーダル - LLMネイティブインスタントメッセージングボットプラットフォーム🤖
|
||||
</div>
|
||||
|
||||
<br/>
|
||||
|
||||
[](https://discord.gg/wdNEHETs87)
|
||||
[](https://deepwiki.com/RockChinQ/LangBot)
|
||||
[](https://github.com/RockChinQ/LangBot/releases/latest)
|
||||
<img src="https://img.shields.io/badge/python-3.10 ~ 3.13 -blue.svg" alt="python">
|
||||
|
||||
[简体中文](README_CN.md) / [English](README.md) / [日本語](README_JP.md) / (PR for your language)
|
||||
<a href="https://github.com/langbot-app/LangBot/issues/new?assignees=&labels=%E7%8B%AC%E7%AB%8B%E6%8F%92%E4%BB%B6&projects=&template=submit-plugin.yml&title=%5BPlugin%5D%3A+%E8%AF%B7%E6%B1%82%E7%99%BB%E8%AE%B0%E6%96%B0%E6%8F%92%E4%BB%B6">プラグインの提出</a>
|
||||
|
||||
</div>
|
||||
|
||||
</p>
|
||||
|
||||
## ✨ 機能
|
||||
|
||||
- 💬 LLM / エージェントとのチャット: 複数のLLMをサポートし、グループチャットとプライベートチャットに対応。マルチラウンドの会話、ツールの呼び出し、マルチモーダル機能をサポート。 [Dify](https://dify.ai) と深く統合。現在、QQ、QQ チャンネル、WeChat、個人 WeChat、Lark、DingTalk、Discord、Telegram など、複数のプラットフォームをサポートしています。
|
||||
- 🛠️ 高い安定性、豊富な機能: ネイティブのアクセス制御、レート制限、敏感な単語のフィルタリングなどのメカニズムをサポート。使いやすく、複数のデプロイ方法をサポート。複数のパイプライン設定をサポートし、異なるボットを異なる用途に使用できます。
|
||||
- 🧩 プラグイン拡張、活発なコミュニティ: イベント駆動、コンポーネント拡張などのプラグインメカニズムをサポート。適配 Anthropic [MCP プロトコル](https://modelcontextprotocol.io/)；豊富なエコシステム、現在数百のプラグインが存在。
|
||||
- 😻 Web UI: ブラウザを通じてLangBotインスタンスを管理することをサポート。
|
||||
LangBot は、エージェント、RAG、MCP などの LLM アプリケーション機能を備えた、オープンソースの LLM ネイティブのインスタントメッセージングロボット開発プラットフォームです。世界中のインスタントメッセージングプラットフォームに適応し、豊富な API インターフェースを提供し、カスタム開発をサポートします。
|
||||
|
||||
## 📦 始め方
|
||||
|
||||
#### Docker Compose デプロイ
|
||||
|
||||
```bash
|
||||
git clone https://github.com/RockChinQ/LangBot
|
||||
git clone https://github.com/langbot-app/LangBot
|
||||
cd LangBot
|
||||
docker compose up -d
|
||||
```
|
||||
@@ -50,7 +37,7 @@ http://localhost:5300 にアクセスして使用を開始します。
|
||||
|
||||
詳細なドキュメントは[Dockerデプロイ](https://docs.langbot.app/en/deploy/langbot/docker.html)を参照してください。
|
||||
|
||||
#### BTPanelでのワンクリックデプロイ
|
||||
#### Panelでのワンクリックデプロイ
|
||||
|
||||
LangBotはBTPanelにリストされています。BTPanelをインストールしている場合は、[ドキュメント](https://docs.langbot.app/en/deploy/langbot/one-click/bt.html)を使用して使用できます。
|
||||
|
||||
@@ -68,23 +55,25 @@ LangBotはBTPanelにリストされています。BTPanelをインストール
|
||||
|
||||
リリースバージョンを直接使用して実行します。[手動デプロイ](https://docs.langbot.app/en/deploy/langbot/manual.html)のドキュメントを参照してください。
|
||||
|
||||
## 📸 デモ
|
||||
## 😎 最新情報を入手
|
||||
|
||||
<img alt="bots" src="https://docs.langbot.app/webui/bot-page.png" width="400px"/>
|
||||
リポジトリの右上にある Star と Watch ボタンをクリックして、最新の更新を取得してください。
|
||||
|
||||
<img alt="bots" src="https://docs.langbot.app/webui/create-model.png" width="400px"/>
|
||||
|
||||
|
||||
<img alt="bots" src="https://docs.langbot.app/webui/edit-pipeline.png" width="400px"/>
|
||||
## ✨ 機能
|
||||
|
||||
<img alt="bots" src="https://docs.langbot.app/webui/plugin-market.png" width="400px"/>
|
||||
- 💬 LLM / エージェントとのチャット: 複数のLLMをサポートし、グループチャットとプライベートチャットに対応。マルチラウンドの会話、ツールの呼び出し、マルチモーダル、ストリーミング出力機能をサポート、RAG（知識ベース）を組み込み、[Dify](https://dify.ai) と深く統合。
|
||||
- 🤖 多プラットフォーム対応: 現在、QQ、QQ チャンネル、WeChat、個人 WeChat、Lark、DingTalk、Discord、Telegram など、複数のプラットフォームをサポートしています。
|
||||
- 🛠️ 高い安定性、豊富な機能: ネイティブのアクセス制御、レート制限、敏感な単語のフィルタリングなどのメカニズムをサポート。使いやすく、複数のデプロイ方法をサポート。複数のパイプライン設定をサポートし、異なるボットを異なる用途に使用できます。
|
||||
- 🧩 プラグイン拡張、活発なコミュニティ: イベント駆動、コンポーネント拡張などのプラグインメカニズムをサポート。適配 Anthropic [MCP プロトコル](https://modelcontextprotocol.io/)；豊富なエコシステム、現在数百のプラグインが存在。
|
||||
- 😻 Web UI: ブラウザを通じてLangBotインスタンスを管理することをサポート。
|
||||
|
||||
<img alt="返信効果（インターネットプラグイン付き）" src="https://docs.langbot.app/QChatGPT-0516.png" width="500px"/>
|
||||
詳細な仕様については、[ドキュメント](https://docs.langbot.app/en/insight/features.html)を参照してください。
|
||||
|
||||
- WebUIデモ: https://demo.langbot.dev/
|
||||
または、デモ環境にアクセスしてください: https://demo.langbot.dev/
|
||||
- ログイン情報: メール: `demo@langbot.app` パスワード: `langbot123456`
|
||||
- 注意: WebUIの効果のみを示しています。公開環境では、機密情報を入力しないでください。
|
||||
|
||||
## 🔌 コンポーネントの互換性
|
||||
- 注意: WebUI のデモンストレーションのみの場合、公開環境では機密情報を入力しないでください。
|
||||
|
||||
### メッセージプラットフォーム
|
||||
|
||||
@@ -100,10 +89,6 @@ LangBotはBTPanelにリストされています。BTPanelをインストール
|
||||
| Discord | ✅ | |
|
||||
| Telegram | ✅ | |
|
||||
| Slack | ✅ | |
|
||||
| LINE | 🚧 | |
|
||||
| WhatsApp | 🚧 | |
|
||||
|
||||
🚧: 開発中
|
||||
|
||||
### LLMs
|
||||
|
||||
@@ -115,8 +100,10 @@ LangBotはBTPanelにリストされています。BTPanelをインストール
|
||||
| [Anthropic](https://www.anthropic.com/) | ✅ | |
|
||||
| [xAI](https://x.ai/) | ✅ | |
|
||||
| [Zhipu AI](https://open.bigmodel.cn/) | ✅ | |
|
||||
| [CompShare](https://www.compshare.cn/?ytag=GPU_YY-gh_langbot) | ✅ | 大模型とGPUリソースプラットフォーム |
|
||||
| [PPIO](https://ppinfra.com/user/register?invited_by=QJKFYD&utm_source=github_langbot) | ✅ | 大模型とGPUリソースプラットフォーム |
|
||||
| [302 AI](https://share.302.ai/SuTG99) | ✅ | LLMゲートウェイ(MaaS) |
|
||||
| [ShengSuanYun](https://www.shengsuanyun.com/?from=CH_KYIPP758) | ✅ | LLMとGPUリソースプラットフォーム |
|
||||
| [302.AI](https://share.302.ai/SuTG99) | ✅ | LLMゲートウェイ(MaaS) |
|
||||
| [Google Gemini](https://aistudio.google.com/prompts/new_chat) | ✅ | |
|
||||
| [Dify](https://dify.ai) | ✅ | LLMOpsプラットフォーム |
|
||||
| [Ollama](https://ollama.com/) | ✅ | ローカルLLM実行プラットフォーム |
|
||||
@@ -130,14 +117,8 @@ LangBotはBTPanelにリストされています。BTPanelをインストール
|
||||
|
||||
## 🤝 コミュニティ貢献
|
||||
|
||||
LangBot への貢献に対して、以下の [コード貢献者](https://github.com/RockChinQ/LangBot/graphs/contributors) とコミュニティの他のメンバーに感謝します。
|
||||
LangBot への貢献に対して、以下の [コード貢献者](https://github.com/langbot-app/LangBot/graphs/contributors) とコミュニティの他のメンバーに感謝します。
|
||||
|
||||
<a href="https://github.com/RockChinQ/LangBot/graphs/contributors">
|
||||
<img src="https://contrib.rocks/image?repo=RockChinQ/LangBot" />
|
||||
<a href="https://github.com/langbot-app/LangBot/graphs/contributors">
|
||||
<img src="https://contrib.rocks/image?repo=langbot-app/LangBot" />
|
||||
</a>
|
||||
|
||||
## 😎 最新情報を入手
|
||||
|
||||
リポジトリの右上にある Star と Watch ボタンをクリックして、最新の更新を取得してください。
|
||||
|
||||
|
||||
140
README_TW.md
Normal file
140
README_TW.md
Normal file
@@ -0,0 +1,140 @@
|
||||
<p align="center">
|
||||
<a href="https://langbot.app">
|
||||
<img src="https://docs.langbot.app/social_zh.png" alt="LangBot"/>
|
||||
</a>
|
||||
|
||||
<div align="center"><a href="https://hellogithub.com/repository/langbot-app/LangBot" target="_blank"><img src="https://abroad.hellogithub.com/v1/widgets/recommend.svg?rid=5ce8ae2aa4f74316bf393b57b952433c&claim_uid=gtmc6YWjMZkT21R" alt="Featured｜HelloGitHub" style="width: 250px; height: 54px;" width="250" height="54" /></a>
|
||||
|
||||
[English](README_EN.md) / [简体中文](README.md) / 繁體中文 / [日本語](README_JP.md) / (PR for your language)
|
||||
|
||||
[](https://discord.gg/wdNEHETs87)
|
||||
[](https://qm.qq.com/q/JLi38whHum)
|
||||
[](https://deepwiki.com/langbot-app/LangBot)
|
||||
[](https://github.com/langbot-app/LangBot/releases/latest)
|
||||
<img src="https://img.shields.io/badge/python-3.10 ~ 3.13 -blue.svg" alt="python">
|
||||
[](https://gitcode.com/RockChinQ/LangBot)
|
||||
|
||||
<a href="https://langbot.app">主頁</a> ｜
|
||||
<a href="https://docs.langbot.app/zh/insight/guide.html">部署文件</a> ｜
|
||||
<a href="https://docs.langbot.app/zh/plugin/plugin-intro.html">外掛介紹</a> ｜
|
||||
<a href="https://github.com/langbot-app/LangBot/issues/new?assignees=&labels=%E7%8B%AC%E7%AB%8B%E6%8F%92%E4%BB%B6&projects=&template=submit-plugin.yml&title=%5BPlugin%5D%3A+%E8%AF%B7%E6%B1%82%E7%99%BB%E8%AE%B0%E6%96%B0%E6%8F%92%E4%BB%B6">提交外掛</a>
|
||||
|
||||
</div>
|
||||
|
||||
</p>
|
||||
|
||||
LangBot 是一個開源的大語言模型原生即時通訊機器人開發平台，旨在提供開箱即用的 IM 機器人開發體驗，具有 Agent、RAG、MCP 等多種 LLM 應用功能，適配全球主流即時通訊平台，並提供豐富的 API 介面，支援自定義開發。
|
||||
|
||||
## 📦 開始使用
|
||||
|
||||
#### Docker Compose 部署
|
||||
|
||||
```bash
|
||||
git clone https://github.com/langbot-app/LangBot
|
||||
cd LangBot
|
||||
docker compose up -d
|
||||
```
|
||||
|
||||
訪問 http://localhost:5300 即可開始使用。
|
||||
|
||||
詳細文件[Docker 部署](https://docs.langbot.app/zh/deploy/langbot/docker.html)。
|
||||
|
||||
#### 寶塔面板部署
|
||||
|
||||
已上架寶塔面板，若您已安裝寶塔面板，可以根據[文件](https://docs.langbot.app/zh/deploy/langbot/one-click/bt.html)使用。
|
||||
|
||||
#### Zeabur 雲端部署
|
||||
|
||||
社群貢獻的 Zeabur 模板。
|
||||
|
||||
[](https://zeabur.com/zh-CN/templates/ZKTBDH)
|
||||
|
||||
#### Railway 雲端部署
|
||||
|
||||
[](https://railway.app/template/yRrAyL?referralCode=vogKPF)
|
||||
|
||||
#### 手動部署
|
||||
|
||||
直接使用發行版運行，查看文件[手動部署](https://docs.langbot.app/zh/deploy/langbot/manual.html)。
|
||||
|
||||
## 😎 保持更新
|
||||
|
||||
點擊倉庫右上角 Star 和 Watch 按鈕，獲取最新動態。
|
||||
|
||||
|
||||
|
||||
## ✨ 特性
|
||||
|
||||
- 💬 大模型對話、Agent：支援多種大模型，適配群聊和私聊；具有多輪對話、工具調用、多模態、流式輸出能力，自帶 RAG（知識庫）實現，並深度適配 [Dify](https://dify.ai)。
|
||||
- 🤖 多平台支援：目前支援 QQ、QQ頻道、企業微信、個人微信、飛書、Discord、Telegram 等平台。
|
||||
- 🛠️ 高穩定性、功能完備：原生支援訪問控制、限速、敏感詞過濾等機制；配置簡單，支援多種部署方式。支援多流水線配置，不同機器人用於不同應用場景。
|
||||
- 🧩 外掛擴展、活躍社群：支援事件驅動、組件擴展等外掛機制；適配 Anthropic [MCP 協議](https://modelcontextprotocol.io/)；目前已有數百個外掛。
|
||||
- 😻 Web 管理面板：支援通過瀏覽器管理 LangBot 實例，不再需要手動編寫配置文件。
|
||||
|
||||
詳細規格特性請訪問[文件](https://docs.langbot.app/zh/insight/features.html)。
|
||||
|
||||
或訪問 demo 環境：https://demo.langbot.dev/
|
||||
- 登入資訊：郵箱：`demo@langbot.app` 密碼：`langbot123456`
|
||||
- 注意：僅展示 WebUI 效果，公開環境，請不要在其中填入您的任何敏感資訊。
|
||||
|
||||
### 訊息平台
|
||||
|
||||
| 平台 | 狀態 | 備註 |
|
||||
| --- | --- | --- |
|
||||
| QQ 個人號 | ✅ | QQ 個人號私聊、群聊 |
|
||||
| QQ 官方機器人 | ✅ | QQ 官方機器人，支援頻道、私聊、群聊 |
|
||||
| 微信 | ✅ | |
|
||||
| 企微對外客服 | ✅ | |
|
||||
| 微信公眾號 | ✅ | |
|
||||
| Lark | ✅ | |
|
||||
| DingTalk | ✅ | |
|
||||
| Discord | ✅ | |
|
||||
| Telegram | ✅ | |
|
||||
| Slack | ✅ | |
|
||||
|
||||
### 大模型能力
|
||||
|
||||
| 模型 | 狀態 | 備註 |
|
||||
| --- | --- | --- |
|
||||
| [OpenAI](https://platform.openai.com/) | ✅ | 可接入任何 OpenAI 介面格式模型 |
|
||||
| [DeepSeek](https://www.deepseek.com/) | ✅ | |
|
||||
| [Moonshot](https://www.moonshot.cn/) | ✅ | |
|
||||
| [Anthropic](https://www.anthropic.com/) | ✅ | |
|
||||
| [xAI](https://x.ai/) | ✅ | |
|
||||
| [智譜AI](https://open.bigmodel.cn/) | ✅ | |
|
||||
| [勝算雲](https://www.shengsuanyun.com/?from=CH_KYIPP758) | ✅ | 大模型和 GPU 資源平台 |
|
||||
| [優雲智算](https://www.compshare.cn/?ytag=GPU_YY-gh_langbot) | ✅ | 大模型和 GPU 資源平台 |
|
||||
| [PPIO](https://ppinfra.com/user/register?invited_by=QJKFYD&utm_source=github_langbot) | ✅ | 大模型和 GPU 資源平台 |
|
||||
| [302.AI](https://share.302.ai/SuTG99) | ✅ | 大模型聚合平台 |
|
||||
| [Google Gemini](https://aistudio.google.com/prompts/new_chat) | ✅ | |
|
||||
| [Dify](https://dify.ai) | ✅ | LLMOps 平台 |
|
||||
| [Ollama](https://ollama.com/) | ✅ | 本地大模型運行平台 |
|
||||
| [LMStudio](https://lmstudio.ai/) | ✅ | 本地大模型運行平台 |
|
||||
| [GiteeAI](https://ai.gitee.com/) | ✅ | 大模型介面聚合平台 |
|
||||
| [SiliconFlow](https://siliconflow.cn/) | ✅ | 大模型聚合平台 |
|
||||
| [阿里雲百煉](https://bailian.console.aliyun.com/) | ✅ | 大模型聚合平台, LLMOps 平台 |
|
||||
| [火山方舟](https://console.volcengine.com/ark/region:ark+cn-beijing/model?vendor=Bytedance&view=LIST_VIEW) | ✅ | 大模型聚合平台, LLMOps 平台 |
|
||||
| [ModelScope](https://modelscope.cn/docs/model-service/API-Inference/intro) | ✅ | 大模型聚合平台 |
|
||||
| [MCP](https://modelcontextprotocol.io/) | ✅ | 支援通過 MCP 協議獲取工具 |
|
||||
|
||||
### TTS
|
||||
|
||||
| 平台/模型 | 備註 |
|
||||
| --- | --- |
|
||||
| [FishAudio](https://fish.audio/zh-CN/discovery/) | [外掛](https://github.com/the-lazy-me/NewChatVoice) |
|
||||
| [海豚 AI](https://www.ttson.cn/?source=thelazy) | [外掛](https://github.com/the-lazy-me/NewChatVoice) |
|
||||
| [AzureTTS](https://portal.azure.com/) | [外掛](https://github.com/Ingnaryk/LangBot_AzureTTS) |
|
||||
|
||||
### 文生圖
|
||||
|
||||
| 平台/模型 | 備註 |
|
||||
| --- | --- |
|
||||
| 阿里雲百煉 | [外掛](https://github.com/Thetail001/LangBot_BailianTextToImagePlugin)
|
||||
|
||||
## 😘 社群貢獻
|
||||
|
||||
感謝以下[程式碼貢獻者](https://github.com/langbot-app/LangBot/graphs/contributors)和社群裡其他成員對 LangBot 的貢獻：
|
||||
|
||||
<a href="https://github.com/langbot-app/LangBot/graphs/contributors">
|
||||
<img src="https://contrib.rocks/image?repo=langbot-app/LangBot" />
|
||||
</a>
|
||||
@@ -253,6 +253,43 @@ class DingTalkClient:
|
||||
await self.logger.error(f'failed to send proactive massage to group: {traceback.format_exc()}')
|
||||
raise Exception(f'failed to send proactive massage to group: {traceback.format_exc()}')
|
||||
|
||||
async def create_and_card(
|
||||
self, temp_card_id: str, incoming_message: dingtalk_stream.ChatbotMessage, quote_origin: bool = False
|
||||
):
|
||||
content_key = 'content'
|
||||
card_data = {content_key: ''}
|
||||
|
||||
card_instance = dingtalk_stream.AICardReplier(self.client, incoming_message)
|
||||
# print(card_instance)
|
||||
# 先投放卡片: https://open.dingtalk.com/document/orgapp/create-and-deliver-cards
|
||||
card_instance_id = await card_instance.async_create_and_deliver_card(
|
||||
temp_card_id,
|
||||
card_data,
|
||||
)
|
||||
return card_instance, card_instance_id
|
||||
|
||||
async def send_card_message(self, card_instance, card_instance_id: str, content: str, is_final: bool):
|
||||
content_key = 'content'
|
||||
try:
|
||||
await card_instance.async_streaming(
|
||||
card_instance_id,
|
||||
content_key=content_key,
|
||||
content_value=content,
|
||||
append=False,
|
||||
finished=is_final,
|
||||
failed=False,
|
||||
)
|
||||
except Exception as e:
|
||||
self.logger.exception(e)
|
||||
await card_instance.async_streaming(
|
||||
card_instance_id,
|
||||
content_key=content_key,
|
||||
content_value='',
|
||||
append=False,
|
||||
finished=is_final,
|
||||
failed=True,
|
||||
)
|
||||
|
||||
async def start(self):
|
||||
"""启动 WebSocket 连接，监听消息"""
|
||||
await self.client.start()
|
||||
|
||||
@@ -1,4 +1 @@
|
||||
from .client import WeChatPadClient
|
||||
|
||||
|
||||
__all__ = ['WeChatPadClient']
|
||||
from .client import WeChatPadClient as WeChatPadClient
|
||||
|
||||
2
main.py
2
main.py
@@ -11,7 +11,7 @@ asciiart = r"""
|
||||
|____\__,_|_||_\__, |___/\___/\__|
|
||||
|___/
|
||||
|
||||
⭐️ Open Source 开源地址: https://github.com/RockChinQ/LangBot
|
||||
⭐️ Open Source 开源地址: https://github.com/langbot-app/LangBot
|
||||
📖 Documentation 文档地址: https://docs.langbot.app
|
||||
"""
|
||||
|
||||
|
||||
@@ -11,10 +11,10 @@ from ....core import app
|
||||
|
||||
|
||||
preregistered_groups: list[type[RouterGroup]] = []
|
||||
"""RouterGroup 的预注册列表"""
|
||||
"""Pre-registered list of RouterGroup"""
|
||||
|
||||
|
||||
def group_class(name: str, path: str) -> None:
|
||||
def group_class(name: str, path: str) -> typing.Callable[[typing.Type[RouterGroup]], typing.Type[RouterGroup]]:
|
||||
"""注册一个 RouterGroup"""
|
||||
|
||||
def decorator(cls: typing.Type[RouterGroup]) -> typing.Type[RouterGroup]:
|
||||
@@ -27,7 +27,7 @@ def group_class(name: str, path: str) -> None:
|
||||
|
||||
|
||||
class AuthType(enum.Enum):
|
||||
"""认证类型"""
|
||||
"""Authentication type"""
|
||||
|
||||
NONE = 'none'
|
||||
USER_TOKEN = 'user-token'
|
||||
@@ -56,7 +56,7 @@ class RouterGroup(abc.ABC):
|
||||
auth_type: AuthType = AuthType.USER_TOKEN,
|
||||
**options: typing.Any,
|
||||
) -> typing.Callable[[RouteCallable], RouteCallable]: # decorator
|
||||
"""注册一个路由"""
|
||||
"""Register a route"""
|
||||
|
||||
def decorator(f: RouteCallable) -> RouteCallable:
|
||||
nonlocal rule
|
||||
@@ -64,11 +64,11 @@ class RouterGroup(abc.ABC):
|
||||
|
||||
async def handler_error(*args, **kwargs):
|
||||
if auth_type == AuthType.USER_TOKEN:
|
||||
# 从Authorization头中获取token
|
||||
# get token from Authorization header
|
||||
token = quart.request.headers.get('Authorization', '').replace('Bearer ', '')
|
||||
|
||||
if not token:
|
||||
return self.http_status(401, -1, '未提供有效的用户令牌')
|
||||
return self.http_status(401, -1, 'No valid user token provided')
|
||||
|
||||
try:
|
||||
user_email = await self.ap.user_service.verify_jwt_token(token)
|
||||
@@ -76,9 +76,9 @@ class RouterGroup(abc.ABC):
|
||||
# check if this account exists
|
||||
user = await self.ap.user_service.get_user_by_email(user_email)
|
||||
if not user:
|
||||
return self.http_status(401, -1, '用户不存在')
|
||||
return self.http_status(401, -1, 'User not found')
|
||||
|
||||
# 检查f是否接受user_email参数
|
||||
# check if f accepts user_email parameter
|
||||
if 'user_email' in f.__code__.co_varnames:
|
||||
kwargs['user_email'] = user_email
|
||||
except Exception as e:
|
||||
@@ -86,10 +86,11 @@ class RouterGroup(abc.ABC):
|
||||
|
||||
try:
|
||||
return await f(*args, **kwargs)
|
||||
except Exception: # 自动 500
|
||||
|
||||
except Exception as e: # 自动 500
|
||||
traceback.print_exc()
|
||||
# return self.http_status(500, -2, str(e))
|
||||
return self.http_status(500, -2, 'internal server error')
|
||||
return self.http_status(500, -2, str(e))
|
||||
|
||||
new_f = handler_error
|
||||
new_f.__name__ = (self.name + rule).replace('/', '__')
|
||||
@@ -101,7 +102,7 @@ class RouterGroup(abc.ABC):
|
||||
return decorator
|
||||
|
||||
def success(self, data: typing.Any = None) -> quart.Response:
|
||||
"""返回一个 200 响应"""
|
||||
"""Return a 200 response"""
|
||||
return quart.jsonify(
|
||||
{
|
||||
'code': 0,
|
||||
@@ -111,7 +112,7 @@ class RouterGroup(abc.ABC):
|
||||
)
|
||||
|
||||
def fail(self, code: int, msg: str) -> quart.Response:
|
||||
"""返回一个异常响应"""
|
||||
"""Return an error response"""
|
||||
|
||||
return quart.jsonify(
|
||||
{
|
||||
@@ -120,6 +121,6 @@ class RouterGroup(abc.ABC):
|
||||
}
|
||||
)
|
||||
|
||||
def http_status(self, status: int, code: int, msg: str) -> quart.Response:
|
||||
def http_status(self, status: int, code: int, msg: str) -> typing.Tuple[quart.Response, int]:
|
||||
"""返回一个指定状态码的响应"""
|
||||
return self.fail(code, msg), status
|
||||
return (self.fail(code, msg), status)
|
||||
|
||||
@@ -2,6 +2,10 @@ from __future__ import annotations
|
||||
|
||||
import quart
|
||||
import mimetypes
|
||||
import uuid
|
||||
import asyncio
|
||||
|
||||
import quart.datastructures
|
||||
|
||||
from .. import group
|
||||
|
||||
@@ -20,3 +24,23 @@ class FilesRouterGroup(group.RouterGroup):
|
||||
mime_type = 'image/jpeg'
|
||||
|
||||
return quart.Response(image_bytes, mimetype=mime_type)
|
||||
|
||||
@self.route('/documents', methods=['POST'], auth_type=group.AuthType.USER_TOKEN)
|
||||
async def _() -> quart.Response:
|
||||
request = quart.request
|
||||
# get file bytes from 'file'
|
||||
file = (await request.files)['file']
|
||||
assert isinstance(file, quart.datastructures.FileStorage)
|
||||
|
||||
file_bytes = await asyncio.to_thread(file.stream.read)
|
||||
extension = file.filename.split('.')[-1]
|
||||
file_name = file.filename.split('.')[0]
|
||||
|
||||
file_key = file_name + '_' + str(uuid.uuid4())[:8] + '.' + extension
|
||||
# save file to storage
|
||||
await self.ap.storage_mgr.storage_provider.save(file_key, file_bytes)
|
||||
return self.success(
|
||||
data={
|
||||
'file_id': file_key,
|
||||
}
|
||||
)
|
||||
|
||||
90
pkg/api/http/controller/groups/knowledge/base.py
Normal file
90
pkg/api/http/controller/groups/knowledge/base.py
Normal file
@@ -0,0 +1,90 @@
|
||||
import quart
|
||||
from ... import group
|
||||
|
||||
|
||||
@group.group_class('knowledge_base', '/api/v1/knowledge/bases')
|
||||
class KnowledgeBaseRouterGroup(group.RouterGroup):
|
||||
async def initialize(self) -> None:
|
||||
@self.route('', methods=['POST', 'GET'])
|
||||
async def handle_knowledge_bases() -> quart.Response:
|
||||
if quart.request.method == 'GET':
|
||||
knowledge_bases = await self.ap.knowledge_service.get_knowledge_bases()
|
||||
return self.success(data={'bases': knowledge_bases})
|
||||
|
||||
elif quart.request.method == 'POST':
|
||||
json_data = await quart.request.json
|
||||
knowledge_base_uuid = await self.ap.knowledge_service.create_knowledge_base(json_data)
|
||||
return self.success(data={'uuid': knowledge_base_uuid})
|
||||
|
||||
return self.http_status(405, -1, 'Method not allowed')
|
||||
|
||||
@self.route(
|
||||
'/<knowledge_base_uuid>',
|
||||
methods=['GET', 'DELETE', 'PUT'],
|
||||
)
|
||||
async def handle_specific_knowledge_base(knowledge_base_uuid: str) -> quart.Response:
|
||||
if quart.request.method == 'GET':
|
||||
knowledge_base = await self.ap.knowledge_service.get_knowledge_base(knowledge_base_uuid)
|
||||
|
||||
if knowledge_base is None:
|
||||
return self.http_status(404, -1, 'knowledge base not found')
|
||||
|
||||
return self.success(
|
||||
data={
|
||||
'base': knowledge_base,
|
||||
}
|
||||
)
|
||||
|
||||
elif quart.request.method == 'PUT':
|
||||
json_data = await quart.request.json
|
||||
await self.ap.knowledge_service.update_knowledge_base(knowledge_base_uuid, json_data)
|
||||
return self.success({})
|
||||
|
||||
elif quart.request.method == 'DELETE':
|
||||
await self.ap.knowledge_service.delete_knowledge_base(knowledge_base_uuid)
|
||||
return self.success({})
|
||||
|
||||
@self.route(
|
||||
'/<knowledge_base_uuid>/files',
|
||||
methods=['GET', 'POST'],
|
||||
)
|
||||
async def get_knowledge_base_files(knowledge_base_uuid: str) -> str:
|
||||
if quart.request.method == 'GET':
|
||||
files = await self.ap.knowledge_service.get_files_by_knowledge_base(knowledge_base_uuid)
|
||||
return self.success(
|
||||
data={
|
||||
'files': files,
|
||||
}
|
||||
)
|
||||
|
||||
elif quart.request.method == 'POST':
|
||||
json_data = await quart.request.json
|
||||
file_id = json_data.get('file_id')
|
||||
if not file_id:
|
||||
return self.http_status(400, -1, 'File ID is required')
|
||||
|
||||
# 调用服务层方法将文件与知识库关联
|
||||
task_id = await self.ap.knowledge_service.store_file(knowledge_base_uuid, file_id)
|
||||
return self.success(
|
||||
{
|
||||
'task_id': task_id,
|
||||
}
|
||||
)
|
||||
|
||||
@self.route(
|
||||
'/<knowledge_base_uuid>/files/<file_id>',
|
||||
methods=['DELETE'],
|
||||
)
|
||||
async def delete_specific_file_in_kb(file_id: str, knowledge_base_uuid: str) -> str:
|
||||
await self.ap.knowledge_service.delete_file(knowledge_base_uuid, file_id)
|
||||
return self.success({})
|
||||
|
||||
@self.route(
|
||||
'/<knowledge_base_uuid>/retrieve',
|
||||
methods=['POST'],
|
||||
)
|
||||
async def retrieve_knowledge_base(knowledge_base_uuid: str) -> str:
|
||||
json_data = await quart.request.json
|
||||
query = json_data.get('query')
|
||||
results = await self.ap.knowledge_service.retrieve_knowledge_base(knowledge_base_uuid, query)
|
||||
return self.success(data={'results': results})
|
||||
@@ -11,7 +11,11 @@ class PipelinesRouterGroup(group.RouterGroup):
|
||||
@self.route('', methods=['GET', 'POST'])
|
||||
async def _() -> str:
|
||||
if quart.request.method == 'GET':
|
||||
return self.success(data={'pipelines': await self.ap.pipeline_service.get_pipelines()})
|
||||
sort_by = quart.request.args.get('sort_by', 'created_at')
|
||||
sort_order = quart.request.args.get('sort_order', 'DESC')
|
||||
return self.success(
|
||||
data={'pipelines': await self.ap.pipeline_service.get_pipelines(sort_by, sort_order)}
|
||||
)
|
||||
elif quart.request.method == 'POST':
|
||||
json_data = await quart.request.json
|
||||
|
||||
|
||||
@@ -1,3 +1,5 @@
|
||||
import json
|
||||
|
||||
import quart
|
||||
|
||||
from ... import group
|
||||
@@ -8,11 +10,19 @@ class WebChatDebugRouterGroup(group.RouterGroup):
|
||||
async def initialize(self) -> None:
|
||||
@self.route('/send', methods=['POST'])
|
||||
async def send_message(pipeline_uuid: str) -> str:
|
||||
"""发送调试消息到流水线"""
|
||||
"""Send a message to the pipeline for debugging"""
|
||||
|
||||
async def stream_generator(generator):
|
||||
yield 'data: {"type": "start"}\n\n'
|
||||
async for message in generator:
|
||||
yield f'data: {json.dumps({"message": message})}\n\n'
|
||||
yield 'data: {"type": "end"}\n\n'
|
||||
|
||||
try:
|
||||
data = await quart.request.get_json()
|
||||
session_type = data.get('session_type', 'person')
|
||||
message_chain_obj = data.get('message', [])
|
||||
is_stream = data.get('is_stream', False)
|
||||
|
||||
if not message_chain_obj:
|
||||
return self.http_status(400, -1, 'message is required')
|
||||
@@ -25,20 +35,40 @@ class WebChatDebugRouterGroup(group.RouterGroup):
|
||||
if not webchat_adapter:
|
||||
return self.http_status(404, -1, 'WebChat adapter not found')
|
||||
|
||||
result = await webchat_adapter.send_webchat_message(pipeline_uuid, session_type, message_chain_obj)
|
||||
if is_stream:
|
||||
generator = webchat_adapter.send_webchat_message(
|
||||
pipeline_uuid, session_type, message_chain_obj, is_stream
|
||||
)
|
||||
# 设置正确的响应头
|
||||
headers = {
|
||||
'Content-Type': 'text/event-stream',
|
||||
'Transfer-Encoding': 'chunked',
|
||||
'Cache-Control': 'no-cache',
|
||||
'Connection': 'keep-alive',
|
||||
}
|
||||
return quart.Response(stream_generator(generator), mimetype='text/event-stream', headers=headers)
|
||||
|
||||
else: # non-stream
|
||||
result = None
|
||||
async for message in webchat_adapter.send_webchat_message(
|
||||
pipeline_uuid, session_type, message_chain_obj
|
||||
):
|
||||
result = message
|
||||
if result is not None:
|
||||
return self.success(
|
||||
data={
|
||||
'message': result,
|
||||
}
|
||||
)
|
||||
else:
|
||||
return self.http_status(400, -1, 'message is required')
|
||||
|
||||
except Exception as e:
|
||||
return self.http_status(500, -1, f'Internal server error: {str(e)}')
|
||||
|
||||
@self.route('/messages/<session_type>', methods=['GET'])
|
||||
async def get_messages(pipeline_uuid: str, session_type: str) -> str:
|
||||
"""获取调试消息历史"""
|
||||
"""Get the message history of the pipeline for debugging"""
|
||||
try:
|
||||
if session_type not in ['person', 'group']:
|
||||
return self.http_status(400, -1, 'session_type must be person or group')
|
||||
@@ -57,7 +87,7 @@ class WebChatDebugRouterGroup(group.RouterGroup):
|
||||
|
||||
@self.route('/reset/<session_type>', methods=['POST'])
|
||||
async def reset_session(session_type: str) -> str:
|
||||
"""重置调试会话"""
|
||||
"""Reset the debug session"""
|
||||
try:
|
||||
if session_type not in ['person', 'group']:
|
||||
return self.http_status(400, -1, 'session_type must be person or group')
|
||||
|
||||
@@ -9,18 +9,18 @@ class LLMModelsRouterGroup(group.RouterGroup):
|
||||
@self.route('', methods=['GET', 'POST'])
|
||||
async def _() -> str:
|
||||
if quart.request.method == 'GET':
|
||||
return self.success(data={'models': await self.ap.model_service.get_llm_models()})
|
||||
return self.success(data={'models': await self.ap.llm_model_service.get_llm_models()})
|
||||
elif quart.request.method == 'POST':
|
||||
json_data = await quart.request.json
|
||||
|
||||
model_uuid = await self.ap.model_service.create_llm_model(json_data)
|
||||
model_uuid = await self.ap.llm_model_service.create_llm_model(json_data)
|
||||
|
||||
return self.success(data={'uuid': model_uuid})
|
||||
|
||||
@self.route('/<model_uuid>', methods=['GET', 'PUT', 'DELETE'])
|
||||
async def _(model_uuid: str) -> str:
|
||||
if quart.request.method == 'GET':
|
||||
model = await self.ap.model_service.get_llm_model(model_uuid)
|
||||
model = await self.ap.llm_model_service.get_llm_model(model_uuid)
|
||||
|
||||
if model is None:
|
||||
return self.http_status(404, -1, 'model not found')
|
||||
@@ -29,11 +29,11 @@ class LLMModelsRouterGroup(group.RouterGroup):
|
||||
elif quart.request.method == 'PUT':
|
||||
json_data = await quart.request.json
|
||||
|
||||
await self.ap.model_service.update_llm_model(model_uuid, json_data)
|
||||
await self.ap.llm_model_service.update_llm_model(model_uuid, json_data)
|
||||
|
||||
return self.success()
|
||||
elif quart.request.method == 'DELETE':
|
||||
await self.ap.model_service.delete_llm_model(model_uuid)
|
||||
await self.ap.llm_model_service.delete_llm_model(model_uuid)
|
||||
|
||||
return self.success()
|
||||
|
||||
@@ -41,6 +41,49 @@ class LLMModelsRouterGroup(group.RouterGroup):
|
||||
async def _(model_uuid: str) -> str:
|
||||
json_data = await quart.request.json
|
||||
|
||||
await self.ap.model_service.test_llm_model(model_uuid, json_data)
|
||||
await self.ap.llm_model_service.test_llm_model(model_uuid, json_data)
|
||||
|
||||
return self.success()
|
||||
|
||||
|
||||
@group.group_class('models/embedding', '/api/v1/provider/models/embedding')
|
||||
class EmbeddingModelsRouterGroup(group.RouterGroup):
|
||||
async def initialize(self) -> None:
|
||||
@self.route('', methods=['GET', 'POST'])
|
||||
async def _() -> str:
|
||||
if quart.request.method == 'GET':
|
||||
return self.success(data={'models': await self.ap.embedding_models_service.get_embedding_models()})
|
||||
elif quart.request.method == 'POST':
|
||||
json_data = await quart.request.json
|
||||
|
||||
model_uuid = await self.ap.embedding_models_service.create_embedding_model(json_data)
|
||||
|
||||
return self.success(data={'uuid': model_uuid})
|
||||
|
||||
@self.route('/<model_uuid>', methods=['GET', 'PUT', 'DELETE'])
|
||||
async def _(model_uuid: str) -> str:
|
||||
if quart.request.method == 'GET':
|
||||
model = await self.ap.embedding_models_service.get_embedding_model(model_uuid)
|
||||
|
||||
if model is None:
|
||||
return self.http_status(404, -1, 'model not found')
|
||||
|
||||
return self.success(data={'model': model})
|
||||
elif quart.request.method == 'PUT':
|
||||
json_data = await quart.request.json
|
||||
|
||||
await self.ap.embedding_models_service.update_embedding_model(model_uuid, json_data)
|
||||
|
||||
return self.success()
|
||||
elif quart.request.method == 'DELETE':
|
||||
await self.ap.embedding_models_service.delete_embedding_model(model_uuid)
|
||||
|
||||
return self.success()
|
||||
|
||||
@self.route('/<model_uuid>/test', methods=['POST'])
|
||||
async def _(model_uuid: str) -> str:
|
||||
json_data = await quart.request.json
|
||||
|
||||
await self.ap.embedding_models_service.test_embedding_model(model_uuid, json_data)
|
||||
|
||||
return self.success()
|
||||
|
||||
@@ -8,7 +8,8 @@ class RequestersRouterGroup(group.RouterGroup):
|
||||
async def initialize(self) -> None:
|
||||
@self.route('', methods=['GET'])
|
||||
async def _() -> quart.Response:
|
||||
return self.success(data={'requesters': self.ap.model_mgr.get_available_requesters_info()})
|
||||
model_type = quart.request.args.get('type', '')
|
||||
return self.success(data={'requesters': self.ap.model_mgr.get_available_requesters_info(model_type)})
|
||||
|
||||
@self.route('/<requester_name>', methods=['GET'])
|
||||
async def _(requester_name: str) -> quart.Response:
|
||||
|
||||
@@ -1,5 +1,6 @@
|
||||
import quart
|
||||
import argon2
|
||||
import asyncio
|
||||
|
||||
from .. import group
|
||||
|
||||
@@ -13,7 +14,7 @@ class UserRouterGroup(group.RouterGroup):
|
||||
return self.success(data={'initialized': await self.ap.user_service.is_initialized()})
|
||||
|
||||
if await self.ap.user_service.is_initialized():
|
||||
return self.fail(1, '系统已初始化')
|
||||
return self.fail(1, 'System already initialized')
|
||||
|
||||
json_data = await quart.request.json
|
||||
|
||||
@@ -31,7 +32,7 @@ class UserRouterGroup(group.RouterGroup):
|
||||
try:
|
||||
token = await self.ap.user_service.authenticate(json_data['user'], json_data['password'])
|
||||
except argon2.exceptions.VerifyMismatchError:
|
||||
return self.fail(1, '用户名或密码错误')
|
||||
return self.fail(1, 'Invalid username or password')
|
||||
|
||||
return self.success(data={'token': token})
|
||||
|
||||
@@ -40,3 +41,45 @@ class UserRouterGroup(group.RouterGroup):
|
||||
token = await self.ap.user_service.generate_jwt_token(user_email)
|
||||
|
||||
return self.success(data={'token': token})
|
||||
|
||||
@self.route('/reset-password', methods=['POST'], auth_type=group.AuthType.NONE)
|
||||
async def _() -> str:
|
||||
json_data = await quart.request.json
|
||||
|
||||
user_email = json_data['user']
|
||||
recovery_key = json_data['recovery_key']
|
||||
new_password = json_data['new_password']
|
||||
|
||||
# hard sleep 3s for security
|
||||
await asyncio.sleep(3)
|
||||
|
||||
if not await self.ap.user_service.is_initialized():
|
||||
return self.http_status(400, -1, 'System not initialized')
|
||||
|
||||
user_obj = await self.ap.user_service.get_user_by_email(user_email)
|
||||
|
||||
if user_obj is None:
|
||||
return self.http_status(400, -1, 'User not found')
|
||||
|
||||
if recovery_key != self.ap.instance_config.data['system']['recovery_key']:
|
||||
return self.http_status(403, -1, 'Invalid recovery key')
|
||||
|
||||
await self.ap.user_service.reset_password(user_email, new_password)
|
||||
|
||||
return self.success(data={'user': user_email})
|
||||
|
||||
@self.route('/change-password', methods=['POST'], auth_type=group.AuthType.USER_TOKEN)
|
||||
async def _(user_email: str) -> str:
|
||||
json_data = await quart.request.json
|
||||
|
||||
current_password = json_data['current_password']
|
||||
new_password = json_data['new_password']
|
||||
|
||||
try:
|
||||
await self.ap.user_service.change_password(user_email, current_password, new_password)
|
||||
except argon2.exceptions.VerifyMismatchError:
|
||||
return self.http_status(400, -1, 'Current password is incorrect')
|
||||
except ValueError as e:
|
||||
return self.http_status(400, -1, str(e))
|
||||
|
||||
return self.success(data={'user': user_email})
|
||||
|
||||
@@ -14,11 +14,13 @@ from . import group
|
||||
from .groups import provider as groups_provider
|
||||
from .groups import platform as groups_platform
|
||||
from .groups import pipelines as groups_pipelines
|
||||
from .groups import knowledge as groups_knowledge
|
||||
|
||||
importutil.import_modules_in_pkg(groups)
|
||||
importutil.import_modules_in_pkg(groups_provider)
|
||||
importutil.import_modules_in_pkg(groups_platform)
|
||||
importutil.import_modules_in_pkg(groups_pipelines)
|
||||
importutil.import_modules_in_pkg(groups_knowledge)
|
||||
|
||||
|
||||
class HTTPController:
|
||||
@@ -45,7 +47,7 @@ class HTTPController:
|
||||
try:
|
||||
await self.quart_app.run_task(*args, **kwargs)
|
||||
except Exception as e:
|
||||
self.ap.logger.error(f'启动 HTTP 服务失败： {e}')
|
||||
self.ap.logger.error(f'Failed to start HTTP service: {e}')
|
||||
|
||||
self.ap.task_mgr.create_task(
|
||||
exception_handler(
|
||||
|
||||
@@ -10,7 +10,7 @@ from ....entity.persistence import pipeline as persistence_pipeline
|
||||
|
||||
|
||||
class BotService:
|
||||
"""机器人服务"""
|
||||
"""Bot service"""
|
||||
|
||||
ap: app.Application
|
||||
|
||||
@@ -63,7 +63,7 @@ class BotService:
|
||||
return persistence_bot
|
||||
|
||||
async def create_bot(self, bot_data: dict) -> str:
|
||||
"""创建机器人"""
|
||||
"""Create bot"""
|
||||
# TODO: 检查配置信息格式
|
||||
bot_data['uuid'] = str(uuid.uuid4())
|
||||
|
||||
@@ -87,7 +87,7 @@ class BotService:
|
||||
return bot_data['uuid']
|
||||
|
||||
async def update_bot(self, bot_uuid: str, bot_data: dict) -> None:
|
||||
"""更新机器人"""
|
||||
"""Update bot"""
|
||||
if 'uuid' in bot_data:
|
||||
del bot_data['uuid']
|
||||
|
||||
@@ -123,7 +123,7 @@ class BotService:
|
||||
session.using_conversation = None
|
||||
|
||||
async def delete_bot(self, bot_uuid: str) -> None:
|
||||
"""删除机器人"""
|
||||
"""Delete bot"""
|
||||
await self.ap.platform_mgr.remove_bot(bot_uuid)
|
||||
await self.ap.persistence_mgr.execute_async(
|
||||
sqlalchemy.delete(persistence_bot.Bot).where(persistence_bot.Bot.uuid == bot_uuid)
|
||||
|
||||
120
pkg/api/http/service/knowledge.py
Normal file
120
pkg/api/http/service/knowledge.py
Normal file
@@ -0,0 +1,120 @@
|
||||
from __future__ import annotations
|
||||
|
||||
import uuid
|
||||
import sqlalchemy
|
||||
|
||||
from ....core import app
|
||||
from ....entity.persistence import rag as persistence_rag
|
||||
|
||||
|
||||
class KnowledgeService:
|
||||
"""知识库服务"""
|
||||
|
||||
ap: app.Application
|
||||
|
||||
def __init__(self, ap: app.Application) -> None:
|
||||
self.ap = ap
|
||||
|
||||
async def get_knowledge_bases(self) -> list[dict]:
|
||||
"""获取所有知识库"""
|
||||
result = await self.ap.persistence_mgr.execute_async(sqlalchemy.select(persistence_rag.KnowledgeBase))
|
||||
knowledge_bases = result.all()
|
||||
return [
|
||||
self.ap.persistence_mgr.serialize_model(persistence_rag.KnowledgeBase, knowledge_base)
|
||||
for knowledge_base in knowledge_bases
|
||||
]
|
||||
|
||||
async def get_knowledge_base(self, kb_uuid: str) -> dict | None:
|
||||
"""获取知识库"""
|
||||
result = await self.ap.persistence_mgr.execute_async(
|
||||
sqlalchemy.select(persistence_rag.KnowledgeBase).where(persistence_rag.KnowledgeBase.uuid == kb_uuid)
|
||||
)
|
||||
knowledge_base = result.first()
|
||||
if knowledge_base is None:
|
||||
return None
|
||||
return self.ap.persistence_mgr.serialize_model(persistence_rag.KnowledgeBase, knowledge_base)
|
||||
|
||||
async def create_knowledge_base(self, kb_data: dict) -> str:
|
||||
"""创建知识库"""
|
||||
kb_data['uuid'] = str(uuid.uuid4())
|
||||
await self.ap.persistence_mgr.execute_async(sqlalchemy.insert(persistence_rag.KnowledgeBase).values(kb_data))
|
||||
|
||||
kb = await self.get_knowledge_base(kb_data['uuid'])
|
||||
|
||||
await self.ap.rag_mgr.load_knowledge_base(kb)
|
||||
|
||||
return kb_data['uuid']
|
||||
|
||||
async def update_knowledge_base(self, kb_uuid: str, kb_data: dict) -> None:
|
||||
"""更新知识库"""
|
||||
if 'uuid' in kb_data:
|
||||
del kb_data['uuid']
|
||||
|
||||
if 'embedding_model_uuid' in kb_data:
|
||||
del kb_data['embedding_model_uuid']
|
||||
|
||||
await self.ap.persistence_mgr.execute_async(
|
||||
sqlalchemy.update(persistence_rag.KnowledgeBase)
|
||||
.values(kb_data)
|
||||
.where(persistence_rag.KnowledgeBase.uuid == kb_uuid)
|
||||
)
|
||||
await self.ap.rag_mgr.remove_knowledge_base_from_runtime(kb_uuid)
|
||||
|
||||
kb = await self.get_knowledge_base(kb_uuid)
|
||||
|
||||
await self.ap.rag_mgr.load_knowledge_base(kb)
|
||||
|
||||
async def store_file(self, kb_uuid: str, file_id: str) -> int:
|
||||
"""存储文件"""
|
||||
# await self.ap.persistence_mgr.execute_async(sqlalchemy.insert(persistence_rag.File).values(kb_id=kb_uuid, file_id=file_id))
|
||||
# await self.ap.rag_mgr.store_file(file_id)
|
||||
runtime_kb = await self.ap.rag_mgr.get_knowledge_base_by_uuid(kb_uuid)
|
||||
if runtime_kb is None:
|
||||
raise Exception('Knowledge base not found')
|
||||
return await runtime_kb.store_file(file_id)
|
||||
|
||||
async def retrieve_knowledge_base(self, kb_uuid: str, query: str) -> list[dict]:
|
||||
"""检索知识库"""
|
||||
runtime_kb = await self.ap.rag_mgr.get_knowledge_base_by_uuid(kb_uuid)
|
||||
if runtime_kb is None:
|
||||
raise Exception('Knowledge base not found')
|
||||
return [
|
||||
result.model_dump() for result in await runtime_kb.retrieve(query, runtime_kb.knowledge_base_entity.top_k)
|
||||
]
|
||||
|
||||
async def get_files_by_knowledge_base(self, kb_uuid: str) -> list[dict]:
|
||||
"""获取知识库文件"""
|
||||
result = await self.ap.persistence_mgr.execute_async(
|
||||
sqlalchemy.select(persistence_rag.File).where(persistence_rag.File.kb_id == kb_uuid)
|
||||
)
|
||||
files = result.all()
|
||||
return [self.ap.persistence_mgr.serialize_model(persistence_rag.File, file) for file in files]
|
||||
|
||||
async def delete_file(self, kb_uuid: str, file_id: str) -> None:
|
||||
"""删除文件"""
|
||||
runtime_kb = await self.ap.rag_mgr.get_knowledge_base_by_uuid(kb_uuid)
|
||||
if runtime_kb is None:
|
||||
raise Exception('Knowledge base not found')
|
||||
await runtime_kb.delete_file(file_id)
|
||||
|
||||
async def delete_knowledge_base(self, kb_uuid: str) -> None:
|
||||
"""删除知识库"""
|
||||
await self.ap.rag_mgr.delete_knowledge_base(kb_uuid)
|
||||
|
||||
await self.ap.persistence_mgr.execute_async(
|
||||
sqlalchemy.delete(persistence_rag.KnowledgeBase).where(persistence_rag.KnowledgeBase.uuid == kb_uuid)
|
||||
)
|
||||
|
||||
# delete files
|
||||
files = await self.ap.persistence_mgr.execute_async(
|
||||
sqlalchemy.select(persistence_rag.File).where(persistence_rag.File.kb_id == kb_uuid)
|
||||
)
|
||||
for file in files:
|
||||
# delete chunks
|
||||
await self.ap.persistence_mgr.execute_async(
|
||||
sqlalchemy.delete(persistence_rag.Chunk).where(persistence_rag.Chunk.file_id == file.uuid)
|
||||
)
|
||||
# delete file
|
||||
await self.ap.persistence_mgr.execute_async(
|
||||
sqlalchemy.delete(persistence_rag.File).where(persistence_rag.File.uuid == file.uuid)
|
||||
)
|
||||
@@ -10,7 +10,7 @@ from ....provider.modelmgr import requester as model_requester
|
||||
from langbot_plugin.api.entities.builtin.provider import message as provider_message
|
||||
|
||||
|
||||
class ModelsService:
|
||||
class LLMModelsService:
|
||||
ap: app.Application
|
||||
|
||||
def __init__(self, ap: app.Application) -> None:
|
||||
@@ -109,5 +109,91 @@ class ModelsService:
|
||||
model=runtime_llm_model,
|
||||
messages=[provider_message.Message(role='user', content='Hello, world!')],
|
||||
funcs=[],
|
||||
extra_args=model_data.get('extra_args', {}),
|
||||
)
|
||||
|
||||
|
||||
class EmbeddingModelsService:
|
||||
ap: app.Application
|
||||
|
||||
def __init__(self, ap: app.Application) -> None:
|
||||
self.ap = ap
|
||||
|
||||
async def get_embedding_models(self) -> list[dict]:
|
||||
result = await self.ap.persistence_mgr.execute_async(sqlalchemy.select(persistence_model.EmbeddingModel))
|
||||
|
||||
models = result.all()
|
||||
return [self.ap.persistence_mgr.serialize_model(persistence_model.EmbeddingModel, model) for model in models]
|
||||
|
||||
async def create_embedding_model(self, model_data: dict) -> str:
|
||||
model_data['uuid'] = str(uuid.uuid4())
|
||||
|
||||
await self.ap.persistence_mgr.execute_async(
|
||||
sqlalchemy.insert(persistence_model.EmbeddingModel).values(**model_data)
|
||||
)
|
||||
|
||||
embedding_model = await self.get_embedding_model(model_data['uuid'])
|
||||
|
||||
await self.ap.model_mgr.load_embedding_model(embedding_model)
|
||||
|
||||
return model_data['uuid']
|
||||
|
||||
async def get_embedding_model(self, model_uuid: str) -> dict | None:
|
||||
result = await self.ap.persistence_mgr.execute_async(
|
||||
sqlalchemy.select(persistence_model.EmbeddingModel).where(
|
||||
persistence_model.EmbeddingModel.uuid == model_uuid
|
||||
)
|
||||
)
|
||||
|
||||
model = result.first()
|
||||
|
||||
if model is None:
|
||||
return None
|
||||
|
||||
return self.ap.persistence_mgr.serialize_model(persistence_model.EmbeddingModel, model)
|
||||
|
||||
async def update_embedding_model(self, model_uuid: str, model_data: dict) -> None:
|
||||
if 'uuid' in model_data:
|
||||
del model_data['uuid']
|
||||
|
||||
await self.ap.persistence_mgr.execute_async(
|
||||
sqlalchemy.update(persistence_model.EmbeddingModel)
|
||||
.where(persistence_model.EmbeddingModel.uuid == model_uuid)
|
||||
.values(**model_data)
|
||||
)
|
||||
|
||||
await self.ap.model_mgr.remove_embedding_model(model_uuid)
|
||||
|
||||
embedding_model = await self.get_embedding_model(model_uuid)
|
||||
|
||||
await self.ap.model_mgr.load_embedding_model(embedding_model)
|
||||
|
||||
async def delete_embedding_model(self, model_uuid: str) -> None:
|
||||
await self.ap.persistence_mgr.execute_async(
|
||||
sqlalchemy.delete(persistence_model.EmbeddingModel).where(
|
||||
persistence_model.EmbeddingModel.uuid == model_uuid
|
||||
)
|
||||
)
|
||||
|
||||
await self.ap.model_mgr.remove_embedding_model(model_uuid)
|
||||
|
||||
async def test_embedding_model(self, model_uuid: str, model_data: dict) -> None:
|
||||
runtime_embedding_model: model_requester.RuntimeEmbeddingModel | None = None
|
||||
|
||||
if model_uuid != '_':
|
||||
for model in self.ap.model_mgr.embedding_models:
|
||||
if model.model_entity.uuid == model_uuid:
|
||||
runtime_embedding_model = model
|
||||
break
|
||||
|
||||
if runtime_embedding_model is None:
|
||||
raise Exception('model not found')
|
||||
|
||||
else:
|
||||
runtime_embedding_model = await self.ap.model_mgr.init_runtime_embedding_model(model_data)
|
||||
|
||||
await runtime_embedding_model.requester.invoke_embedding(
|
||||
model=runtime_embedding_model,
|
||||
input_text=['Hello, world!'],
|
||||
extra_args={},
|
||||
)
|
||||
|
||||
@@ -38,9 +38,21 @@ class PipelineService:
|
||||
self.ap.pipeline_config_meta_output.data,
|
||||
]
|
||||
|
||||
async def get_pipelines(self) -> list[dict]:
|
||||
result = await self.ap.persistence_mgr.execute_async(sqlalchemy.select(persistence_pipeline.LegacyPipeline))
|
||||
async def get_pipelines(self, sort_by: str = 'created_at', sort_order: str = 'DESC') -> list[dict]:
|
||||
query = sqlalchemy.select(persistence_pipeline.LegacyPipeline)
|
||||
|
||||
if sort_by == 'created_at':
|
||||
if sort_order == 'DESC':
|
||||
query = query.order_by(persistence_pipeline.LegacyPipeline.created_at.desc())
|
||||
else:
|
||||
query = query.order_by(persistence_pipeline.LegacyPipeline.created_at.asc())
|
||||
elif sort_by == 'updated_at':
|
||||
if sort_order == 'DESC':
|
||||
query = query.order_by(persistence_pipeline.LegacyPipeline.updated_at.desc())
|
||||
else:
|
||||
query = query.order_by(persistence_pipeline.LegacyPipeline.updated_at.asc())
|
||||
|
||||
result = await self.ap.persistence_mgr.execute_async(query)
|
||||
pipelines = result.all()
|
||||
return [
|
||||
self.ap.persistence_mgr.serialize_model(persistence_pipeline.LegacyPipeline, pipeline)
|
||||
|
||||
@@ -73,3 +73,27 @@ class UserService:
|
||||
jwt_secret = self.ap.instance_config.data['system']['jwt']['secret']
|
||||
|
||||
return jwt.decode(token, jwt_secret, algorithms=['HS256'])['user']
|
||||
|
||||
async def reset_password(self, user_email: str, new_password: str) -> None:
|
||||
ph = argon2.PasswordHasher()
|
||||
|
||||
hashed_password = ph.hash(new_password)
|
||||
|
||||
await self.ap.persistence_mgr.execute_async(
|
||||
sqlalchemy.update(user.User).where(user.User.user == user_email).values(password=hashed_password)
|
||||
)
|
||||
|
||||
async def change_password(self, user_email: str, current_password: str, new_password: str) -> None:
|
||||
ph = argon2.PasswordHasher()
|
||||
|
||||
user_obj = await self.get_user_by_email(user_email)
|
||||
if user_obj is None:
|
||||
raise ValueError('User not found')
|
||||
|
||||
ph.verify(user_obj.password, current_password)
|
||||
|
||||
hashed_password = ph.hash(new_password)
|
||||
|
||||
await self.ap.persistence_mgr.execute_async(
|
||||
sqlalchemy.update(user.User).where(user.User.user == user_email).values(password=hashed_password)
|
||||
)
|
||||
|
||||
@@ -6,7 +6,7 @@ from .. import model as file_model
|
||||
|
||||
|
||||
class JSONConfigFile(file_model.ConfigFile):
|
||||
"""JSON配置文件"""
|
||||
"""JSON config file"""
|
||||
|
||||
def __init__(
|
||||
self,
|
||||
@@ -42,7 +42,7 @@ class JSONConfigFile(file_model.ConfigFile):
|
||||
try:
|
||||
cfg = json.load(f)
|
||||
except json.JSONDecodeError as e:
|
||||
raise Exception(f'配置文件 {self.config_file_name} 语法错误: {e}')
|
||||
raise Exception(f'Syntax error in config file {self.config_file_name}: {e}')
|
||||
|
||||
if completion:
|
||||
for key in self.template_data:
|
||||
|
||||
@@ -7,13 +7,13 @@ from .. import model as file_model
|
||||
|
||||
|
||||
class PythonModuleConfigFile(file_model.ConfigFile):
|
||||
"""Python模块配置文件"""
|
||||
"""Python module config file"""
|
||||
|
||||
config_file_name: str = None
|
||||
"""配置文件名"""
|
||||
"""Config file name"""
|
||||
|
||||
template_file_name: str = None
|
||||
"""模板文件名"""
|
||||
"""Template file name"""
|
||||
|
||||
def __init__(self, config_file_name: str, template_file_name: str) -> None:
|
||||
self.config_file_name = config_file_name
|
||||
@@ -42,7 +42,7 @@ class PythonModuleConfigFile(file_model.ConfigFile):
|
||||
|
||||
cfg[key] = getattr(module, key)
|
||||
|
||||
# 从模板模块文件中进行补全
|
||||
# complete from template module file
|
||||
if completion:
|
||||
module_name = os.path.splitext(os.path.basename(self.template_file_name))[0]
|
||||
module = importlib.import_module(module_name)
|
||||
@@ -60,7 +60,7 @@ class PythonModuleConfigFile(file_model.ConfigFile):
|
||||
return cfg
|
||||
|
||||
async def save(self, data: dict):
|
||||
logging.warning('Python模块配置文件不支持保存')
|
||||
logging.warning('Python module config file does not support saving')
|
||||
|
||||
def save_sync(self, data: dict):
|
||||
logging.warning('Python模块配置文件不支持保存')
|
||||
logging.warning('Python module config file does not support saving')
|
||||
|
||||
@@ -6,7 +6,7 @@ from .. import model as file_model
|
||||
|
||||
|
||||
class YAMLConfigFile(file_model.ConfigFile):
|
||||
"""YAML配置文件"""
|
||||
"""YAML config file"""
|
||||
|
||||
def __init__(
|
||||
self,
|
||||
@@ -42,7 +42,7 @@ class YAMLConfigFile(file_model.ConfigFile):
|
||||
try:
|
||||
cfg = yaml.load(f, Loader=yaml.FullLoader)
|
||||
except yaml.YAMLError as e:
|
||||
raise Exception(f'配置文件 {self.config_file_name} 语法错误: {e}')
|
||||
raise Exception(f'Syntax error in config file {self.config_file_name}: {e}')
|
||||
|
||||
if completion:
|
||||
for key in self.template_data:
|
||||
|
||||
@@ -5,27 +5,27 @@ from .impls import pymodule, json as json_file, yaml as yaml_file
|
||||
|
||||
|
||||
class ConfigManager:
|
||||
"""配置文件管理器"""
|
||||
"""Config file manager"""
|
||||
|
||||
name: str = None
|
||||
"""配置管理器名"""
|
||||
"""Config manager name"""
|
||||
|
||||
description: str = None
|
||||
"""配置管理器描述"""
|
||||
"""Config manager description"""
|
||||
|
||||
schema: dict = None
|
||||
"""配置文件 schema
|
||||
需要符合 JSON Schema Draft 7 规范
|
||||
"""Config file schema
|
||||
Must conform to JSON Schema Draft 7 specification
|
||||
"""
|
||||
|
||||
file: file_model.ConfigFile = None
|
||||
"""配置文件实例"""
|
||||
"""Config file instance"""
|
||||
|
||||
data: dict = None
|
||||
"""配置数据"""
|
||||
"""Config data"""
|
||||
|
||||
doc_link: str = None
|
||||
"""配置文件文档链接"""
|
||||
"""Config file documentation link"""
|
||||
|
||||
def __init__(self, cfg_file: file_model.ConfigFile) -> None:
|
||||
self.file = cfg_file
|
||||
@@ -42,15 +42,15 @@ class ConfigManager:
|
||||
|
||||
|
||||
async def load_python_module_config(config_name: str, template_name: str, completion: bool = True) -> ConfigManager:
|
||||
"""加载Python模块配置文件
|
||||
"""Load Python module config file
|
||||
|
||||
Args:
|
||||
config_name (str): 配置文件名
|
||||
template_name (str): 模板文件名
|
||||
completion (bool): 是否自动补全内存中的配置文件
|
||||
config_name (str): Config file name
|
||||
template_name (str): Template file name
|
||||
completion (bool): Whether to automatically complete the config file in memory
|
||||
|
||||
Returns:
|
||||
ConfigManager: 配置文件管理器
|
||||
ConfigManager: Config file manager
|
||||
"""
|
||||
cfg_inst = pymodule.PythonModuleConfigFile(config_name, template_name)
|
||||
|
||||
@@ -66,13 +66,13 @@ async def load_json_config(
|
||||
template_data: dict = None,
|
||||
completion: bool = True,
|
||||
) -> ConfigManager:
|
||||
"""加载JSON配置文件
|
||||
"""Load JSON config file
|
||||
|
||||
Args:
|
||||
config_name (str): 配置文件名
|
||||
template_name (str): 模板文件名
|
||||
template_data (dict): 模板数据
|
||||
completion (bool): 是否自动补全内存中的配置文件
|
||||
config_name (str): Config file name
|
||||
template_name (str): Template file name
|
||||
template_data (dict): Template data
|
||||
completion (bool): Whether to automatically complete the config file in memory
|
||||
"""
|
||||
cfg_inst = json_file.JSONConfigFile(config_name, template_name, template_data)
|
||||
|
||||
@@ -88,16 +88,16 @@ async def load_yaml_config(
|
||||
template_data: dict = None,
|
||||
completion: bool = True,
|
||||
) -> ConfigManager:
|
||||
"""加载YAML配置文件
|
||||
"""Load YAML config file
|
||||
|
||||
Args:
|
||||
config_name (str): 配置文件名
|
||||
template_name (str): 模板文件名
|
||||
template_data (dict): 模板数据
|
||||
completion (bool): 是否自动补全内存中的配置文件
|
||||
config_name (str): Config file name
|
||||
template_name (str): Template file name
|
||||
template_data (dict): Template data
|
||||
completion (bool): Whether to automatically complete the config file in memory
|
||||
|
||||
Returns:
|
||||
ConfigManager: 配置文件管理器
|
||||
ConfigManager: Config file manager
|
||||
"""
|
||||
cfg_inst = yaml_file.YAMLConfigFile(config_name, template_name, template_data)
|
||||
|
||||
|
||||
@@ -2,16 +2,16 @@ import abc
|
||||
|
||||
|
||||
class ConfigFile(metaclass=abc.ABCMeta):
|
||||
"""配置文件抽象类"""
|
||||
"""Config file abstract class"""
|
||||
|
||||
config_file_name: str = None
|
||||
"""配置文件名"""
|
||||
"""Config file name"""
|
||||
|
||||
template_file_name: str = None
|
||||
"""模板文件名"""
|
||||
"""Template file name"""
|
||||
|
||||
template_data: dict = None
|
||||
"""模板数据"""
|
||||
"""Template data"""
|
||||
|
||||
@abc.abstractmethod
|
||||
def exists(self) -> bool:
|
||||
|
||||
@@ -21,15 +21,18 @@ from ..api.http.service import user as user_service
|
||||
from ..api.http.service import model as model_service
|
||||
from ..api.http.service import pipeline as pipeline_service
|
||||
from ..api.http.service import bot as bot_service
|
||||
from ..api.http.service import knowledge as knowledge_service
|
||||
from ..discover import engine as discover_engine
|
||||
from ..storage import mgr as storagemgr
|
||||
from ..utils import logcache
|
||||
from . import taskmgr
|
||||
from . import entities as core_entities
|
||||
from ..rag.knowledge import kbmgr as rag_mgr
|
||||
from ..vector import mgr as vectordb_mgr
|
||||
|
||||
|
||||
class Application:
|
||||
"""运行时应用对象和上下文"""
|
||||
"""Runtime application object and context"""
|
||||
|
||||
event_loop: asyncio.AbstractEventLoop = None
|
||||
|
||||
@@ -46,10 +49,12 @@ class Application:
|
||||
|
||||
model_mgr: llm_model_mgr.ModelManager = None
|
||||
|
||||
# TODO 移动到 pipeline 里
|
||||
rag_mgr: rag_mgr.RAGManager = None
|
||||
|
||||
# TODO move to pipeline
|
||||
tool_mgr: llm_tool_mgr.ToolManager = None
|
||||
|
||||
# ======= 配置管理器 =======
|
||||
# ======= Config manager =======
|
||||
|
||||
command_cfg: config_mgr.ConfigManager = None # deprecated
|
||||
|
||||
@@ -63,7 +68,7 @@ class Application:
|
||||
|
||||
instance_config: config_mgr.ConfigManager = None
|
||||
|
||||
# ======= 元数据配置管理器 =======
|
||||
# ======= Metadata config manager =======
|
||||
|
||||
sensitive_meta: config_mgr.ConfigManager = None
|
||||
|
||||
@@ -92,6 +97,8 @@ class Application:
|
||||
|
||||
persistence_mgr: persistencemgr.PersistenceManager = None
|
||||
|
||||
vector_db_mgr: vectordb_mgr.VectorDBManager = None
|
||||
|
||||
http_ctrl: http_controller.HTTPController = None
|
||||
|
||||
log_cache: logcache.LogCache = None
|
||||
@@ -102,12 +109,16 @@ class Application:
|
||||
|
||||
user_service: user_service.UserService = None
|
||||
|
||||
model_service: model_service.ModelsService = None
|
||||
llm_model_service: model_service.LLMModelsService = None
|
||||
|
||||
embedding_models_service: model_service.EmbeddingModelsService = None
|
||||
|
||||
pipeline_service: pipeline_service.PipelineService = None
|
||||
|
||||
bot_service: bot_service.BotService = None
|
||||
|
||||
knowledge_service: knowledge_service.KnowledgeService = None
|
||||
|
||||
def __init__(self):
|
||||
pass
|
||||
|
||||
@@ -142,6 +153,7 @@ class Application:
|
||||
name='http-api-controller',
|
||||
scopes=[core_entities.LifecycleControlScope.APPLICATION],
|
||||
)
|
||||
|
||||
self.task_mgr.create_task(
|
||||
never_ending(),
|
||||
name='never-ending-task',
|
||||
@@ -153,14 +165,14 @@ class Application:
|
||||
except asyncio.CancelledError:
|
||||
pass
|
||||
except Exception as e:
|
||||
self.logger.error(f'应用运行致命异常: {e}')
|
||||
self.logger.error(f'Application runtime fatal exception: {e}')
|
||||
self.logger.debug(f'Traceback: {traceback.format_exc()}')
|
||||
|
||||
def dispose(self):
|
||||
self.plugin_connector.dispose()
|
||||
|
||||
async def print_web_access_info(self):
|
||||
"""打印访问 webui 的提示"""
|
||||
"""Print access webui tips"""
|
||||
|
||||
if not os.path.exists(os.path.join('.', 'web/out')):
|
||||
self.logger.warning('WebUI 文件缺失，请根据文档部署：https://docs.langbot.app/zh')
|
||||
|
||||
@@ -8,7 +8,7 @@ from . import app
|
||||
from . import stage
|
||||
from ..utils import constants, importutil
|
||||
|
||||
# 引入启动阶段实现以便注册
|
||||
# Import startup stage implementation to register
|
||||
from . import stages
|
||||
|
||||
importutil.import_modules_in_pkg(stages)
|
||||
@@ -25,7 +25,7 @@ stage_order = [
|
||||
|
||||
|
||||
async def make_app(loop: asyncio.AbstractEventLoop) -> app.Application:
|
||||
# 确定是否为调试模式
|
||||
# Determine if it is debug mode
|
||||
if 'DEBUG' in os.environ and os.environ['DEBUG'] in ['true', '1']:
|
||||
constants.debug_mode = True
|
||||
|
||||
@@ -33,7 +33,7 @@ async def make_app(loop: asyncio.AbstractEventLoop) -> app.Application:
|
||||
|
||||
ap.event_loop = loop
|
||||
|
||||
# 执行启动阶段
|
||||
# Execute startup stage
|
||||
for stage_name in stage_order:
|
||||
stage_cls = stage.preregistered_stages[stage_name]
|
||||
stage_inst = stage_cls()
|
||||
@@ -47,12 +47,12 @@ async def make_app(loop: asyncio.AbstractEventLoop) -> app.Application:
|
||||
|
||||
async def main(loop: asyncio.AbstractEventLoop):
|
||||
try:
|
||||
# 挂系统信号处理
|
||||
# Hang system signal processing
|
||||
import signal
|
||||
|
||||
def signal_handler(sig, frame):
|
||||
app_inst.dispose()
|
||||
print('[Signal] 程序退出.')
|
||||
print('[Signal] Program exit.')
|
||||
os._exit(0)
|
||||
|
||||
signal.signal(signal.SIGINT, signal_handler)
|
||||
|
||||
@@ -2,8 +2,8 @@ import pip
|
||||
import os
|
||||
from ...utils import pkgmgr
|
||||
|
||||
# 检查依赖，防止用户未安装
|
||||
# 左边为引入名称，右边为依赖名称
|
||||
# Check dependencies to prevent users from not installing
|
||||
# Left is the import name, right is the dependency name
|
||||
required_deps = {
|
||||
'requests': 'requests',
|
||||
'openai': 'openai',
|
||||
@@ -65,7 +65,7 @@ async def install_deps(deps: list[str]):
|
||||
async def precheck_plugin_deps():
|
||||
print('[Startup] Prechecking plugin dependencies...')
|
||||
|
||||
# 只有在plugins目录存在时才执行插件依赖安装
|
||||
# Only execute plugin dependency installation when the plugins directory exists
|
||||
if os.path.exists('plugins'):
|
||||
for dir in os.listdir('plugins'):
|
||||
subdir = os.path.join('plugins', dir)
|
||||
|
||||
@@ -17,7 +17,7 @@ log_colors_config = {
|
||||
|
||||
|
||||
async def init_logging(extra_handlers: list[logging.Handler] = None) -> logging.Logger:
|
||||
# 删除所有现有的logger
|
||||
# Remove all existing loggers
|
||||
for handler in logging.root.handlers[:]:
|
||||
logging.root.removeHandler(handler)
|
||||
|
||||
@@ -54,13 +54,13 @@ async def init_logging(extra_handlers: list[logging.Handler] = None) -> logging.
|
||||
handler.setFormatter(color_formatter)
|
||||
qcg_logger.addHandler(handler)
|
||||
|
||||
qcg_logger.debug('日志初始化完成，日志级别：%s' % level)
|
||||
qcg_logger.debug('Logging initialized, log level: %s' % level)
|
||||
logging.basicConfig(
|
||||
level=logging.CRITICAL, # 设置日志输出格式
|
||||
level=logging.CRITICAL, # Set log output format
|
||||
format='[DEPR][%(asctime)s.%(msecs)03d] %(pathname)s (%(lineno)d) - [%(levelname)s] :\n%(message)s',
|
||||
# 日志输出的格式
|
||||
# -8表示占位符，让输出左对齐，输出长度都为8位
|
||||
datefmt='%Y-%m-%d %H:%M:%S', # 时间输出的格式
|
||||
# Log output format
|
||||
# -8 is a placeholder, left-align the output, and output length is 8
|
||||
datefmt='%Y-%m-%d %H:%M:%S', # Time output format
|
||||
handlers=[logging.NullHandler()],
|
||||
)
|
||||
|
||||
|
||||
@@ -7,11 +7,11 @@ from . import app
|
||||
|
||||
|
||||
preregistered_migrations: list[typing.Type[Migration]] = []
|
||||
"""当前阶段暂不支持扩展"""
|
||||
"""Currently not supported for extension"""
|
||||
|
||||
|
||||
def migration_class(name: str, number: int):
|
||||
"""注册一个迁移"""
|
||||
"""Register a migration"""
|
||||
|
||||
def decorator(cls: typing.Type[Migration]) -> typing.Type[Migration]:
|
||||
cls.name = name
|
||||
@@ -23,7 +23,7 @@ def migration_class(name: str, number: int):
|
||||
|
||||
|
||||
class Migration(abc.ABC):
|
||||
"""一个版本的迁移"""
|
||||
"""A version migration"""
|
||||
|
||||
name: str
|
||||
|
||||
@@ -36,10 +36,10 @@ class Migration(abc.ABC):
|
||||
|
||||
@abc.abstractmethod
|
||||
async def need_migrate(self) -> bool:
|
||||
"""判断当前环境是否需要运行此迁移"""
|
||||
"""Determine if the current environment needs to run this migration"""
|
||||
pass
|
||||
|
||||
@abc.abstractmethod
|
||||
async def run(self):
|
||||
"""执行迁移"""
|
||||
"""Run migration"""
|
||||
pass
|
||||
|
||||
@@ -9,7 +9,7 @@ preregistered_notes: list[typing.Type[LaunchNote]] = []
|
||||
|
||||
|
||||
def note_class(name: str, number: int):
|
||||
"""注册一个启动信息"""
|
||||
"""Register a launch information"""
|
||||
|
||||
def decorator(cls: typing.Type[LaunchNote]) -> typing.Type[LaunchNote]:
|
||||
cls.name = name
|
||||
@@ -21,7 +21,7 @@ def note_class(name: str, number: int):
|
||||
|
||||
|
||||
class LaunchNote(abc.ABC):
|
||||
"""启动信息"""
|
||||
"""Launch information"""
|
||||
|
||||
name: str
|
||||
|
||||
@@ -34,10 +34,10 @@ class LaunchNote(abc.ABC):
|
||||
|
||||
@abc.abstractmethod
|
||||
async def need_show(self) -> bool:
|
||||
"""判断当前环境是否需要显示此启动信息"""
|
||||
"""Determine if the current environment needs to display this launch information"""
|
||||
pass
|
||||
|
||||
@abc.abstractmethod
|
||||
async def yield_note(self) -> typing.AsyncGenerator[typing.Tuple[str, int], None]:
|
||||
"""生成启动信息"""
|
||||
"""Generate launch information"""
|
||||
pass
|
||||
|
||||
@@ -7,7 +7,7 @@ from .. import note
|
||||
|
||||
@note.note_class('ClassicNotes', 1)
|
||||
class ClassicNotes(note.LaunchNote):
|
||||
"""经典启动信息"""
|
||||
"""Classic launch information"""
|
||||
|
||||
async def need_show(self) -> bool:
|
||||
return True
|
||||
|
||||
@@ -9,7 +9,7 @@ from .. import note
|
||||
|
||||
@note.note_class('SelectionModeOnWindows', 2)
|
||||
class SelectionModeOnWindows(note.LaunchNote):
|
||||
"""Windows 上的选择模式提示信息"""
|
||||
"""Selection mode prompt information on Windows"""
|
||||
|
||||
async def need_show(self) -> bool:
|
||||
return os.name == 'nt'
|
||||
@@ -19,3 +19,8 @@ class SelectionModeOnWindows(note.LaunchNote):
|
||||
"""您正在使用 Windows 系统，若窗口左上角显示处于”选择“模式，程序将被暂停运行，此时请右键窗口中空白区域退出选择模式。""",
|
||||
logging.INFO,
|
||||
)
|
||||
|
||||
yield (
|
||||
"""You are using Windows system, if the top left corner of the window displays "Selection" mode, the program will be paused running, please right-click on the blank area in the window to exit the selection mode.""",
|
||||
logging.INFO,
|
||||
)
|
||||
|
||||
@@ -7,9 +7,9 @@ from . import app
|
||||
|
||||
|
||||
preregistered_stages: dict[str, typing.Type[BootingStage]] = {}
|
||||
"""预注册的请求处理阶段。在初始化时，所有请求处理阶段类会被注册到此字典中。
|
||||
"""Pre-registered request processing stages. All request processing stage classes are registered in this dictionary during initialization.
|
||||
|
||||
当前阶段暂不支持扩展
|
||||
Currently not supported for extension
|
||||
"""
|
||||
|
||||
|
||||
@@ -22,11 +22,11 @@ def stage_class(name: str):
|
||||
|
||||
|
||||
class BootingStage(abc.ABC):
|
||||
"""启动阶段"""
|
||||
"""Booting stage"""
|
||||
|
||||
name: str = None
|
||||
|
||||
@abc.abstractmethod
|
||||
async def run(self, ap: app.Application):
|
||||
"""启动"""
|
||||
"""Run"""
|
||||
pass
|
||||
|
||||
@@ -10,6 +10,7 @@ from ...command import cmdmgr
|
||||
from ...provider.session import sessionmgr as llm_session_mgr
|
||||
from ...provider.modelmgr import modelmgr as llm_model_mgr
|
||||
from ...provider.tools import toolmgr as llm_tool_mgr
|
||||
from ...rag.knowledge import kbmgr as rag_mgr
|
||||
from ...platform import botmgr as im_mgr
|
||||
from ...persistence import mgr as persistencemgr
|
||||
from ...api.http.controller import main as http_controller
|
||||
@@ -17,18 +18,20 @@ from ...api.http.service import user as user_service
|
||||
from ...api.http.service import model as model_service
|
||||
from ...api.http.service import pipeline as pipeline_service
|
||||
from ...api.http.service import bot as bot_service
|
||||
from ...api.http.service import knowledge as knowledge_service
|
||||
from ...discover import engine as discover_engine
|
||||
from ...storage import mgr as storagemgr
|
||||
from ...utils import logcache
|
||||
from ...vector import mgr as vectordb_mgr
|
||||
from .. import taskmgr
|
||||
|
||||
|
||||
@stage.stage_class('BuildAppStage')
|
||||
class BuildAppStage(stage.BootingStage):
|
||||
"""构建应用阶段"""
|
||||
"""Build LangBot application"""
|
||||
|
||||
async def run(self, ap: app.Application):
|
||||
"""构建app对象的各个组件对象并初始化"""
|
||||
"""Build LangBot application"""
|
||||
ap.task_mgr = taskmgr.AsyncTaskManager(ap)
|
||||
|
||||
discover = discover_engine.ComponentDiscoveryEngine(ap)
|
||||
@@ -43,7 +46,7 @@ class BuildAppStage(stage.BootingStage):
|
||||
await ver_mgr.initialize()
|
||||
ap.ver_mgr = ver_mgr
|
||||
|
||||
# 发送公告
|
||||
# Send announcement
|
||||
ann_mgr = announce.AnnouncementManager(ap)
|
||||
ap.ann_mgr = ann_mgr
|
||||
|
||||
@@ -92,6 +95,15 @@ class BuildAppStage(stage.BootingStage):
|
||||
await pipeline_mgr.initialize()
|
||||
ap.pipeline_mgr = pipeline_mgr
|
||||
|
||||
rag_mgr_inst = rag_mgr.RAGManager(ap)
|
||||
await rag_mgr_inst.initialize()
|
||||
ap.rag_mgr = rag_mgr_inst
|
||||
|
||||
# 初始化向量数据库管理器
|
||||
vectordb_mgr_inst = vectordb_mgr.VectorDBManager(ap)
|
||||
await vectordb_mgr_inst.initialize()
|
||||
ap.vector_db_mgr = vectordb_mgr_inst
|
||||
|
||||
http_ctrl = http_controller.HTTPController(ap)
|
||||
await http_ctrl.initialize()
|
||||
ap.http_ctrl = http_ctrl
|
||||
@@ -99,8 +111,11 @@ class BuildAppStage(stage.BootingStage):
|
||||
user_service_inst = user_service.UserService(ap)
|
||||
ap.user_service = user_service_inst
|
||||
|
||||
model_service_inst = model_service.ModelsService(ap)
|
||||
ap.model_service = model_service_inst
|
||||
llm_model_service_inst = model_service.LLMModelsService(ap)
|
||||
ap.llm_model_service = llm_model_service_inst
|
||||
|
||||
embedding_models_service_inst = model_service.EmbeddingModelsService(ap)
|
||||
ap.embedding_models_service = embedding_models_service_inst
|
||||
|
||||
pipeline_service_inst = pipeline_service.PipelineService(ap)
|
||||
ap.pipeline_service = pipeline_service_inst
|
||||
@@ -108,5 +123,8 @@ class BuildAppStage(stage.BootingStage):
|
||||
bot_service_inst = bot_service.BotService(ap)
|
||||
ap.bot_service = bot_service_inst
|
||||
|
||||
knowledge_service_inst = knowledge_service.KnowledgeService(ap)
|
||||
ap.knowledge_service = knowledge_service_inst
|
||||
|
||||
ctrl = controller.Controller(ap)
|
||||
ap.ctrl = ctrl
|
||||
|
||||
@@ -7,11 +7,18 @@ from .. import stage, app
|
||||
|
||||
@stage.stage_class('GenKeysStage')
|
||||
class GenKeysStage(stage.BootingStage):
|
||||
"""生成密钥阶段"""
|
||||
"""Generate keys stage"""
|
||||
|
||||
async def run(self, ap: app.Application):
|
||||
"""启动"""
|
||||
"""Generate keys"""
|
||||
|
||||
if not ap.instance_config.data['system']['jwt']['secret']:
|
||||
ap.instance_config.data['system']['jwt']['secret'] = secrets.token_hex(16)
|
||||
await ap.instance_config.dump_config()
|
||||
|
||||
if 'recovery_key' not in ap.instance_config.data['system']:
|
||||
ap.instance_config.data['system']['recovery_key'] = ''
|
||||
|
||||
if not ap.instance_config.data['system']['recovery_key']:
|
||||
ap.instance_config.data['system']['recovery_key'] = secrets.token_hex(3).upper()
|
||||
await ap.instance_config.dump_config()
|
||||
|
||||
@@ -8,10 +8,10 @@ from ..bootutils import config
|
||||
|
||||
@stage.stage_class('LoadConfigStage')
|
||||
class LoadConfigStage(stage.BootingStage):
|
||||
"""加载配置文件阶段"""
|
||||
"""Load config file stage"""
|
||||
|
||||
async def run(self, ap: app.Application):
|
||||
"""启动"""
|
||||
"""Load config file"""
|
||||
|
||||
# ======= deprecated =======
|
||||
if os.path.exists('data/config/command.json'):
|
||||
|
||||
@@ -11,10 +11,13 @@ importutil.import_modules_in_pkg(migrations)
|
||||
|
||||
@stage.stage_class('MigrationStage')
|
||||
class MigrationStage(stage.BootingStage):
|
||||
"""迁移阶段"""
|
||||
"""Migration stage
|
||||
|
||||
These migrations are legacy, only performed in version 3.x
|
||||
"""
|
||||
|
||||
async def run(self, ap: app.Application):
|
||||
"""启动"""
|
||||
"""Run migration"""
|
||||
|
||||
if any(
|
||||
[
|
||||
@@ -29,7 +32,7 @@ class MigrationStage(stage.BootingStage):
|
||||
|
||||
migrations = migration.preregistered_migrations
|
||||
|
||||
# 按照迁移号排序
|
||||
# Sort by migration number
|
||||
migrations.sort(key=lambda x: x.number)
|
||||
|
||||
for migration_cls in migrations:
|
||||
@@ -37,4 +40,4 @@ class MigrationStage(stage.BootingStage):
|
||||
|
||||
if await migration_instance.need_migrate():
|
||||
await migration_instance.run()
|
||||
print(f'已执行迁移 {migration_instance.name}')
|
||||
print(f'Migration {migration_instance.name} executed')
|
||||
|
||||
@@ -8,7 +8,7 @@ from ..bootutils import log
|
||||
|
||||
class PersistenceHandler(logging.Handler, object):
|
||||
"""
|
||||
保存日志到数据库
|
||||
Save logs to database
|
||||
"""
|
||||
|
||||
ap: app.Application
|
||||
@@ -19,9 +19,9 @@ class PersistenceHandler(logging.Handler, object):
|
||||
|
||||
def emit(self, record):
|
||||
"""
|
||||
emit函数为自定义handler类时必重写的函数，这里可以根据需要对日志消息做一些处理，比如发送日志到服务器
|
||||
emit function is a required function for custom handler classes, here you can process the log messages as needed, such as sending logs to the server
|
||||
|
||||
发出记录(Emit a record)
|
||||
Emit a record
|
||||
"""
|
||||
try:
|
||||
msg = self.format(record)
|
||||
@@ -34,10 +34,10 @@ class PersistenceHandler(logging.Handler, object):
|
||||
|
||||
@stage.stage_class('SetupLoggerStage')
|
||||
class SetupLoggerStage(stage.BootingStage):
|
||||
"""设置日志器阶段"""
|
||||
"""Setup logger stage"""
|
||||
|
||||
async def run(self, ap: app.Application):
|
||||
"""启动"""
|
||||
"""Setup logger"""
|
||||
persistence_handler = PersistenceHandler('LoggerHandler', ap)
|
||||
|
||||
extra_handlers = []
|
||||
|
||||
@@ -12,10 +12,10 @@ importutil.import_modules_in_pkg(notes)
|
||||
|
||||
@stage.stage_class('ShowNotesStage')
|
||||
class ShowNotesStage(stage.BootingStage):
|
||||
"""显示启动信息阶段"""
|
||||
"""Show notes stage"""
|
||||
|
||||
async def run(self, ap: app.Application):
|
||||
# 排序
|
||||
# Sort
|
||||
note.preregistered_notes.sort(key=lambda x: x.number)
|
||||
|
||||
for note_cls in note.preregistered_notes:
|
||||
|
||||
@@ -9,13 +9,13 @@ from . import entities as core_entities
|
||||
|
||||
|
||||
class TaskContext:
|
||||
"""任务跟踪上下文"""
|
||||
"""Task tracking context"""
|
||||
|
||||
current_action: str
|
||||
"""当前正在执行的动作"""
|
||||
"""Current action being executed"""
|
||||
|
||||
log: str
|
||||
"""记录日志"""
|
||||
"""Log"""
|
||||
|
||||
def __init__(self):
|
||||
self.current_action = 'default'
|
||||
@@ -58,40 +58,40 @@ placeholder_context: TaskContext | None = None
|
||||
|
||||
|
||||
class TaskWrapper:
|
||||
"""任务包装器"""
|
||||
"""Task wrapper"""
|
||||
|
||||
_id_index: int = 0
|
||||
"""任务ID索引"""
|
||||
"""Task ID index"""
|
||||
|
||||
id: int
|
||||
"""任务ID"""
|
||||
"""Task ID"""
|
||||
|
||||
task_type: str = 'system' # 任务类型: system 或 user
|
||||
"""任务类型"""
|
||||
task_type: str = 'system' # Task type: system or user
|
||||
"""Task type"""
|
||||
|
||||
kind: str = 'system_task' # 由发起者确定任务种类，通常同质化的任务种类相同
|
||||
"""任务种类"""
|
||||
kind: str = 'system_task' # Task type determined by the initiator, usually the same task type
|
||||
"""Task type"""
|
||||
|
||||
name: str = ''
|
||||
"""任务唯一名称"""
|
||||
"""Task unique name"""
|
||||
|
||||
label: str = ''
|
||||
"""任务显示名称"""
|
||||
"""Task display name"""
|
||||
|
||||
task_context: TaskContext
|
||||
"""任务上下文"""
|
||||
"""Task context"""
|
||||
|
||||
task: asyncio.Task
|
||||
"""任务"""
|
||||
"""Task"""
|
||||
|
||||
task_stack: list = None
|
||||
"""任务堆栈"""
|
||||
"""Task stack"""
|
||||
|
||||
ap: app.Application
|
||||
"""应用实例"""
|
||||
"""Application instance"""
|
||||
|
||||
scopes: list[core_entities.LifecycleControlScope]
|
||||
"""任务所属生命周期控制范围"""
|
||||
"""Task scope"""
|
||||
|
||||
def __init__(
|
||||
self,
|
||||
@@ -165,13 +165,13 @@ class TaskWrapper:
|
||||
|
||||
|
||||
class AsyncTaskManager:
|
||||
"""保存app中的所有异步任务
|
||||
包含系统级的和用户级（插件安装、更新等由用户直接发起的）的"""
|
||||
"""Save all asynchronous tasks in the app
|
||||
Include system-level and user-level (plugin installation, update, etc. initiated by users directly)"""
|
||||
|
||||
ap: app.Application
|
||||
|
||||
tasks: list[TaskWrapper]
|
||||
"""所有任务"""
|
||||
"""All tasks"""
|
||||
|
||||
def __init__(self, ap: app.Application):
|
||||
self.ap = ap
|
||||
|
||||
@@ -4,7 +4,7 @@ from .base import Base
|
||||
|
||||
|
||||
class Bot(Base):
|
||||
"""机器人"""
|
||||
"""Bot"""
|
||||
|
||||
__tablename__ = 'bots'
|
||||
|
||||
|
||||
@@ -12,7 +12,7 @@ initial_metadata = [
|
||||
|
||||
|
||||
class Metadata(Base):
|
||||
"""数据库元数据"""
|
||||
"""Database metadata"""
|
||||
|
||||
__tablename__ = 'metadata'
|
||||
|
||||
|
||||
@@ -4,7 +4,7 @@ from .base import Base
|
||||
|
||||
|
||||
class LLMModel(Base):
|
||||
"""LLM 模型"""
|
||||
"""LLM model"""
|
||||
|
||||
__tablename__ = 'llm_models'
|
||||
|
||||
@@ -23,3 +23,24 @@ class LLMModel(Base):
|
||||
server_default=sqlalchemy.func.now(),
|
||||
onupdate=sqlalchemy.func.now(),
|
||||
)
|
||||
|
||||
|
||||
class EmbeddingModel(Base):
|
||||
"""Embedding 模型"""
|
||||
|
||||
__tablename__ = 'embedding_models'
|
||||
|
||||
uuid = sqlalchemy.Column(sqlalchemy.String(255), primary_key=True, unique=True)
|
||||
name = sqlalchemy.Column(sqlalchemy.String(255), nullable=False)
|
||||
description = sqlalchemy.Column(sqlalchemy.String(255), nullable=False)
|
||||
requester = sqlalchemy.Column(sqlalchemy.String(255), nullable=False)
|
||||
requester_config = sqlalchemy.Column(sqlalchemy.JSON, nullable=False, default={})
|
||||
api_keys = sqlalchemy.Column(sqlalchemy.JSON, nullable=False)
|
||||
extra_args = sqlalchemy.Column(sqlalchemy.JSON, nullable=False, default={})
|
||||
created_at = sqlalchemy.Column(sqlalchemy.DateTime, nullable=False, server_default=sqlalchemy.func.now())
|
||||
updated_at = sqlalchemy.Column(
|
||||
sqlalchemy.DateTime,
|
||||
nullable=False,
|
||||
server_default=sqlalchemy.func.now(),
|
||||
onupdate=sqlalchemy.func.now(),
|
||||
)
|
||||
|
||||
@@ -4,7 +4,7 @@ from .base import Base
|
||||
|
||||
|
||||
class LegacyPipeline(Base):
|
||||
"""旧版流水线"""
|
||||
"""Legacy pipeline"""
|
||||
|
||||
__tablename__ = 'legacy_pipelines'
|
||||
|
||||
@@ -20,13 +20,12 @@ class LegacyPipeline(Base):
|
||||
)
|
||||
for_version = sqlalchemy.Column(sqlalchemy.String(255), nullable=False)
|
||||
is_default = sqlalchemy.Column(sqlalchemy.Boolean, nullable=False, default=False)
|
||||
|
||||
stages = sqlalchemy.Column(sqlalchemy.JSON, nullable=False)
|
||||
config = sqlalchemy.Column(sqlalchemy.JSON, nullable=False)
|
||||
|
||||
|
||||
class PipelineRunRecord(Base):
|
||||
"""流水线运行记录"""
|
||||
"""Pipeline run record"""
|
||||
|
||||
__tablename__ = 'pipeline_run_records'
|
||||
|
||||
@@ -43,3 +42,4 @@ class PipelineRunRecord(Base):
|
||||
started_at = sqlalchemy.Column(sqlalchemy.DateTime, nullable=False)
|
||||
finished_at = sqlalchemy.Column(sqlalchemy.DateTime, nullable=False)
|
||||
result = sqlalchemy.Column(sqlalchemy.JSON, nullable=False)
|
||||
knowledge_base_uuid = sqlalchemy.Column(sqlalchemy.String(255), nullable=True)
|
||||
|
||||
@@ -4,7 +4,7 @@ from .base import Base
|
||||
|
||||
|
||||
class PluginSetting(Base):
|
||||
"""插件配置"""
|
||||
"""Plugin setting"""
|
||||
|
||||
__tablename__ = 'plugin_settings'
|
||||
|
||||
|
||||
50
pkg/entity/persistence/rag.py
Normal file
50
pkg/entity/persistence/rag.py
Normal file
@@ -0,0 +1,50 @@
|
||||
import sqlalchemy
|
||||
from .base import Base
|
||||
|
||||
# Base = declarative_base()
|
||||
# DATABASE_URL = os.getenv('DATABASE_URL', 'sqlite:///./rag_knowledge.db')
|
||||
# print("Using database URL:", DATABASE_URL)
|
||||
|
||||
|
||||
# engine = create_engine(DATABASE_URL, connect_args={'check_same_thread': False})
|
||||
|
||||
# SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine)
|
||||
|
||||
# def create_db_and_tables():
|
||||
# """Creates all database tables defined in the Base."""
|
||||
# Base.metadata.create_all(bind=engine)
|
||||
# print('Database tables created or already exist.')
|
||||
|
||||
|
||||
class KnowledgeBase(Base):
|
||||
__tablename__ = 'knowledge_bases'
|
||||
uuid = sqlalchemy.Column(sqlalchemy.String(255), primary_key=True, unique=True)
|
||||
name = sqlalchemy.Column(sqlalchemy.String, index=True)
|
||||
description = sqlalchemy.Column(sqlalchemy.Text)
|
||||
created_at = sqlalchemy.Column(sqlalchemy.DateTime, default=sqlalchemy.func.now())
|
||||
embedding_model_uuid = sqlalchemy.Column(sqlalchemy.String, default='')
|
||||
top_k = sqlalchemy.Column(sqlalchemy.Integer, default=5)
|
||||
|
||||
|
||||
class File(Base):
|
||||
__tablename__ = 'knowledge_base_files'
|
||||
uuid = sqlalchemy.Column(sqlalchemy.String(255), primary_key=True, unique=True)
|
||||
kb_id = sqlalchemy.Column(sqlalchemy.String(255), nullable=True)
|
||||
file_name = sqlalchemy.Column(sqlalchemy.String)
|
||||
extension = sqlalchemy.Column(sqlalchemy.String)
|
||||
created_at = sqlalchemy.Column(sqlalchemy.DateTime, default=sqlalchemy.func.now())
|
||||
status = sqlalchemy.Column(sqlalchemy.String, default='pending') # pending, processing, completed, failed
|
||||
|
||||
|
||||
class Chunk(Base):
|
||||
__tablename__ = 'knowledge_base_chunks'
|
||||
uuid = sqlalchemy.Column(sqlalchemy.String(255), primary_key=True, unique=True)
|
||||
file_id = sqlalchemy.Column(sqlalchemy.String(255), nullable=True)
|
||||
text = sqlalchemy.Column(sqlalchemy.Text)
|
||||
|
||||
|
||||
# class Vector(Base):
|
||||
# __tablename__ = 'knowledge_base_vectors'
|
||||
# uuid = sqlalchemy.Column(sqlalchemy.String(255), primary_key=True, unique=True)
|
||||
# chunk_id = sqlalchemy.Column(sqlalchemy.String, nullable=True)
|
||||
# embedding = sqlalchemy.Column(sqlalchemy.LargeBinary)
|
||||
13
pkg/entity/persistence/vector.py
Normal file
13
pkg/entity/persistence/vector.py
Normal file
@@ -0,0 +1,13 @@
|
||||
from sqlalchemy import Column, Integer, ForeignKey, LargeBinary
|
||||
from sqlalchemy.orm import declarative_base, relationship
|
||||
|
||||
Base = declarative_base()
|
||||
|
||||
|
||||
class Vector(Base):
|
||||
__tablename__ = 'vectors'
|
||||
id = Column(Integer, primary_key=True, index=True)
|
||||
chunk_id = Column(Integer, ForeignKey('chunks.id'), unique=True)
|
||||
embedding = Column(LargeBinary) # Store embeddings as binary
|
||||
|
||||
chunk = relationship('Chunk', back_populates='vector')
|
||||
0
pkg/entity/rag/__init__.py
Normal file
0
pkg/entity/rag/__init__.py
Normal file
13
pkg/entity/rag/retriever.py
Normal file
13
pkg/entity/rag/retriever.py
Normal file
@@ -0,0 +1,13 @@
|
||||
from __future__ import annotations
|
||||
|
||||
import pydantic
|
||||
|
||||
from typing import Any
|
||||
|
||||
|
||||
class RetrieveResultEntry(pydantic.BaseModel):
|
||||
id: str
|
||||
|
||||
metadata: dict[str, Any]
|
||||
|
||||
distance: float
|
||||
@@ -11,7 +11,7 @@ preregistered_managers: list[type[BaseDatabaseManager]] = []
|
||||
|
||||
|
||||
def manager_class(name: str) -> None:
|
||||
"""注册一个数据库管理类"""
|
||||
"""Register a database manager class"""
|
||||
|
||||
def decorator(cls: type[BaseDatabaseManager]) -> type[BaseDatabaseManager]:
|
||||
cls.name = name
|
||||
@@ -22,7 +22,7 @@ def manager_class(name: str) -> None:
|
||||
|
||||
|
||||
class BaseDatabaseManager(abc.ABC):
|
||||
"""基础数据库管理类"""
|
||||
"""Base database manager class"""
|
||||
|
||||
name: str
|
||||
|
||||
|
||||
@@ -7,7 +7,7 @@ from .. import database
|
||||
|
||||
@database.manager_class('sqlite')
|
||||
class SQLiteDatabaseManager(database.BaseDatabaseManager):
|
||||
"""SQLite 数据库管理类"""
|
||||
"""SQLite database manager"""
|
||||
|
||||
async def initialize(self) -> None:
|
||||
sqlite_path = 'data/langbot.db'
|
||||
|
||||
@@ -22,12 +22,12 @@ importutil.import_modules_in_pkg(persistence)
|
||||
|
||||
|
||||
class PersistenceManager:
|
||||
"""持久化模块管理器"""
|
||||
"""Persistence module manager"""
|
||||
|
||||
ap: app.Application
|
||||
|
||||
db: database.BaseDatabaseManager
|
||||
"""数据库管理器"""
|
||||
"""Database manager"""
|
||||
|
||||
meta: sqlalchemy.MetaData
|
||||
|
||||
@@ -111,7 +111,7 @@ class PersistenceManager:
|
||||
'stages': pipeline_service.default_stage_order,
|
||||
'is_default': True,
|
||||
'name': 'ChatPipeline',
|
||||
'description': '默认提供的流水线，您配置的机器人、第一个模型将自动绑定到此流水线',
|
||||
'description': 'Default pipeline, new bots will be bound to this pipeline | 默认提供的流水线，您配置的机器人将自动绑定到此流水线',
|
||||
'config': pipeline_config,
|
||||
}
|
||||
|
||||
|
||||
@@ -10,7 +10,7 @@ preregistered_db_migrations: list[typing.Type[DBMigration]] = []
|
||||
|
||||
|
||||
def migration_class(number: int):
|
||||
"""迁移类装饰器"""
|
||||
"""Migration class decorator"""
|
||||
|
||||
def wrapper(cls: typing.Type[DBMigration]) -> typing.Type[DBMigration]:
|
||||
cls.number = number
|
||||
@@ -21,20 +21,20 @@ def migration_class(number: int):
|
||||
|
||||
|
||||
class DBMigration(abc.ABC):
|
||||
"""数据库迁移"""
|
||||
"""Database migration"""
|
||||
|
||||
number: int
|
||||
"""迁移号"""
|
||||
"""Migration number"""
|
||||
|
||||
def __init__(self, ap: app.Application):
|
||||
self.ap = ap
|
||||
|
||||
@abc.abstractmethod
|
||||
async def upgrade(self):
|
||||
"""升级"""
|
||||
"""Upgrade"""
|
||||
pass
|
||||
|
||||
@abc.abstractmethod
|
||||
async def downgrade(self):
|
||||
"""降级"""
|
||||
"""Downgrade"""
|
||||
pass
|
||||
|
||||
@@ -15,21 +15,21 @@ from ...entity.persistence import (
|
||||
|
||||
@migration.migration_class(1)
|
||||
class DBMigrateV3Config(migration.DBMigration):
|
||||
"""从 v3 的配置迁移到 v4 的数据库"""
|
||||
"""Migrate v3 config to v4 database"""
|
||||
|
||||
async def upgrade(self):
|
||||
"""升级"""
|
||||
"""Upgrade"""
|
||||
"""
|
||||
将 data/config 下的所有配置文件进行迁移。
|
||||
迁移后，之前的配置文件都保存到 data/legacy/config 下。
|
||||
迁移后，data/metadata/ 下的所有配置文件都保存到 data/legacy/metadata 下。
|
||||
Migrate all config files under data/config.
|
||||
After migration, all previous config files are saved under data/legacy/config.
|
||||
After migration, all config files under data/metadata/ are saved under data/legacy/metadata.
|
||||
"""
|
||||
|
||||
if self.ap.provider_cfg is None:
|
||||
return
|
||||
|
||||
# ======= 迁移模型 =======
|
||||
# 只迁移当前选中的模型
|
||||
# ======= Migrate model =======
|
||||
# Only migrate the currently selected model
|
||||
model_name = self.ap.provider_cfg.data.get('model', 'gpt-4o')
|
||||
|
||||
model_requester = 'openai-chat-completions'
|
||||
@@ -91,8 +91,8 @@ class DBMigrateV3Config(migration.DBMigration):
|
||||
sqlalchemy.insert(persistence_model.LLMModel).values(**llm_model_data)
|
||||
)
|
||||
|
||||
# ======= 迁移流水线配置 =======
|
||||
# 修改到默认流水线
|
||||
# ======= Migrate pipeline config =======
|
||||
# Modify to default pipeline
|
||||
default_pipeline = [
|
||||
self.ap.persistence_mgr.serialize_model(persistence_pipeline.LegacyPipeline, pipeline)
|
||||
for pipeline in (
|
||||
@@ -184,8 +184,8 @@ class DBMigrateV3Config(migration.DBMigration):
|
||||
.where(persistence_pipeline.LegacyPipeline.uuid == default_pipeline['uuid'])
|
||||
)
|
||||
|
||||
# ======= 迁移机器人 =======
|
||||
# 只迁移启用的机器人
|
||||
# ======= Migrate bot =======
|
||||
# Only migrate enabled bots
|
||||
for adapter in self.ap.platform_cfg.data.get('platform-adapters', []):
|
||||
if not adapter.get('enable'):
|
||||
continue
|
||||
@@ -207,7 +207,7 @@ class DBMigrateV3Config(migration.DBMigration):
|
||||
|
||||
await self.ap.persistence_mgr.execute_async(sqlalchemy.insert(persistence_bot.Bot).values(**bot_data))
|
||||
|
||||
# ======= 迁移系统设置 =======
|
||||
# ======= Migrate system settings =======
|
||||
self.ap.instance_config.data['admins'] = self.ap.system_cfg.data['admin-sessions']
|
||||
self.ap.instance_config.data['api']['port'] = self.ap.system_cfg.data['http-api']['port']
|
||||
self.ap.instance_config.data['command'] = {
|
||||
@@ -223,7 +223,7 @@ class DBMigrateV3Config(migration.DBMigration):
|
||||
await self.ap.instance_config.dump_config()
|
||||
|
||||
# ======= move files =======
|
||||
# 迁移 data/config 下的所有配置文件
|
||||
# Migrate all config files under data/config
|
||||
all_legacy_dir_name = [
|
||||
'config',
|
||||
# 'metadata',
|
||||
@@ -246,4 +246,4 @@ class DBMigrateV3Config(migration.DBMigration):
|
||||
move_legacy_files(dir_name)
|
||||
|
||||
async def downgrade(self):
|
||||
"""降级"""
|
||||
"""Downgrade"""
|
||||
|
||||
@@ -7,10 +7,10 @@ from ...entity.persistence import pipeline as persistence_pipeline
|
||||
|
||||
@migration.migration_class(2)
|
||||
class DBMigrateCombineQuoteMsgConfig(migration.DBMigration):
|
||||
"""引用消息合并配置"""
|
||||
"""Combine quote message config"""
|
||||
|
||||
async def upgrade(self):
|
||||
"""升级"""
|
||||
"""Upgrade"""
|
||||
# read all pipelines
|
||||
pipelines = await self.ap.persistence_mgr.execute_async(sqlalchemy.select(persistence_pipeline.LegacyPipeline))
|
||||
|
||||
@@ -37,5 +37,5 @@ class DBMigrateCombineQuoteMsgConfig(migration.DBMigration):
|
||||
)
|
||||
|
||||
async def downgrade(self):
|
||||
"""降级"""
|
||||
"""Downgrade"""
|
||||
pass
|
||||
|
||||
@@ -7,10 +7,10 @@ from ...entity.persistence import pipeline as persistence_pipeline
|
||||
|
||||
@migration.migration_class(3)
|
||||
class DBMigrateN8nConfig(migration.DBMigration):
|
||||
"""N8n配置"""
|
||||
"""N8n config"""
|
||||
|
||||
async def upgrade(self):
|
||||
"""升级"""
|
||||
"""Upgrade"""
|
||||
# read all pipelines
|
||||
pipelines = await self.ap.persistence_mgr.execute_async(sqlalchemy.select(persistence_pipeline.LegacyPipeline))
|
||||
|
||||
@@ -45,5 +45,5 @@ class DBMigrateN8nConfig(migration.DBMigration):
|
||||
)
|
||||
|
||||
async def downgrade(self):
|
||||
"""降级"""
|
||||
"""Downgrade"""
|
||||
pass
|
||||
|
||||
38
pkg/persistence/migrations/dbm004_rag_kb_uuid.py
Normal file
38
pkg/persistence/migrations/dbm004_rag_kb_uuid.py
Normal file
@@ -0,0 +1,38 @@
|
||||
from .. import migration
|
||||
|
||||
import sqlalchemy
|
||||
|
||||
from ...entity.persistence import pipeline as persistence_pipeline
|
||||
|
||||
|
||||
@migration.migration_class(4)
|
||||
class DBMigrateRAGKBUUID(migration.DBMigration):
|
||||
"""RAG知识库UUID"""
|
||||
|
||||
async def upgrade(self):
|
||||
"""升级"""
|
||||
# read all pipelines
|
||||
pipelines = await self.ap.persistence_mgr.execute_async(sqlalchemy.select(persistence_pipeline.LegacyPipeline))
|
||||
|
||||
for pipeline in pipelines:
|
||||
serialized_pipeline = self.ap.persistence_mgr.serialize_model(persistence_pipeline.LegacyPipeline, pipeline)
|
||||
|
||||
config = serialized_pipeline['config']
|
||||
|
||||
if 'knowledge-base' not in config['ai']['local-agent']:
|
||||
config['ai']['local-agent']['knowledge-base'] = ''
|
||||
|
||||
await self.ap.persistence_mgr.execute_async(
|
||||
sqlalchemy.update(persistence_pipeline.LegacyPipeline)
|
||||
.where(persistence_pipeline.LegacyPipeline.uuid == serialized_pipeline['uuid'])
|
||||
.values(
|
||||
{
|
||||
'config': config,
|
||||
'for_version': self.ap.ver_mgr.get_current_version(),
|
||||
}
|
||||
)
|
||||
)
|
||||
|
||||
async def downgrade(self):
|
||||
"""降级"""
|
||||
pass
|
||||
@@ -0,0 +1,38 @@
|
||||
from .. import migration
|
||||
|
||||
import sqlalchemy
|
||||
|
||||
from ...entity.persistence import pipeline as persistence_pipeline
|
||||
|
||||
|
||||
@migration.migration_class(5)
|
||||
class DBMigratePipelineRemoveCotConfig(migration.DBMigration):
|
||||
"""Pipeline remove cot config"""
|
||||
|
||||
async def upgrade(self):
|
||||
"""Upgrade"""
|
||||
# read all pipelines
|
||||
pipelines = await self.ap.persistence_mgr.execute_async(sqlalchemy.select(persistence_pipeline.LegacyPipeline))
|
||||
|
||||
for pipeline in pipelines:
|
||||
serialized_pipeline = self.ap.persistence_mgr.serialize_model(persistence_pipeline.LegacyPipeline, pipeline)
|
||||
|
||||
config = serialized_pipeline['config']
|
||||
|
||||
if 'remove-think' not in config['output']['misc']:
|
||||
config['output']['misc']['remove-think'] = False
|
||||
|
||||
await self.ap.persistence_mgr.execute_async(
|
||||
sqlalchemy.update(persistence_pipeline.LegacyPipeline)
|
||||
.where(persistence_pipeline.LegacyPipeline.uuid == serialized_pipeline['uuid'])
|
||||
.values(
|
||||
{
|
||||
'config': config,
|
||||
'for_version': self.ap.ver_mgr.get_current_version(),
|
||||
}
|
||||
)
|
||||
)
|
||||
|
||||
async def downgrade(self):
|
||||
"""Downgrade"""
|
||||
pass
|
||||
@@ -6,9 +6,9 @@ import langbot_plugin.api.entities.builtin.pipeline.query as pipeline_query
|
||||
|
||||
@stage.stage_class('BanSessionCheckStage')
|
||||
class BanSessionCheckStage(stage.PipelineStage):
|
||||
"""访问控制处理阶段
|
||||
"""Access control processing stage
|
||||
|
||||
仅检查query中群号或个人号是否在访问控制列表中。
|
||||
Only check if the group or personal number in the query is in the access control list.
|
||||
"""
|
||||
|
||||
async def initialize(self, pipeline_config: dict):
|
||||
@@ -41,5 +41,7 @@ class BanSessionCheckStage(stage.PipelineStage):
|
||||
return entities.StageProcessResult(
|
||||
result_type=entities.ResultType.CONTINUE if ctn else entities.ResultType.INTERRUPT,
|
||||
new_query=query,
|
||||
console_notice=f'根据访问控制忽略消息: {query.launcher_type.value}_{query.launcher_id}' if not ctn else '',
|
||||
console_notice=f'Ignore message according to access control: {query.launcher_type.value}_{query.launcher_id}'
|
||||
if not ctn
|
||||
else '',
|
||||
)
|
||||
|
||||
@@ -13,13 +13,13 @@ preregistered_filters: list[typing.Type[ContentFilter]] = []
|
||||
def filter_class(
|
||||
name: str,
|
||||
) -> typing.Callable[[typing.Type[ContentFilter]], typing.Type[ContentFilter]]:
|
||||
"""内容过滤器类装饰器
|
||||
"""Content filter class decorator
|
||||
|
||||
Args:
|
||||
name (str): 过滤器名称
|
||||
name (str): Filter name
|
||||
|
||||
Returns:
|
||||
typing.Callable[[typing.Type[ContentFilter]], typing.Type[ContentFilter]]: 装饰器
|
||||
typing.Callable[[typing.Type[ContentFilter]], typing.Type[ContentFilter]]: Decorator
|
||||
"""
|
||||
|
||||
def decorator(cls: typing.Type[ContentFilter]) -> typing.Type[ContentFilter]:
|
||||
@@ -35,7 +35,7 @@ def filter_class(
|
||||
|
||||
|
||||
class ContentFilter(metaclass=abc.ABCMeta):
|
||||
"""内容过滤器抽象类"""
|
||||
"""Content filter abstract class"""
|
||||
|
||||
name: str
|
||||
|
||||
@@ -46,31 +46,31 @@ class ContentFilter(metaclass=abc.ABCMeta):
|
||||
|
||||
@property
|
||||
def enable_stages(self):
|
||||
"""启用的阶段
|
||||
"""Enabled stages
|
||||
|
||||
默认为消息请求AI前后的两个阶段。
|
||||
Default is the two stages before and after the message request to AI.
|
||||
|
||||
entity.EnableStage.PRE: 消息请求AI前，此时需要检查的内容是用户的输入消息。
|
||||
entity.EnableStage.POST: 消息请求AI后，此时需要检查的内容是AI的回复消息。
|
||||
entity.EnableStage.PRE: Before message request to AI, the content to check is the user's input message.
|
||||
entity.EnableStage.POST: After message request to AI, the content to check is the AI's reply message.
|
||||
"""
|
||||
return [entities.EnableStage.PRE, entities.EnableStage.POST]
|
||||
|
||||
async def initialize(self):
|
||||
"""初始化过滤器"""
|
||||
"""Initialize filter"""
|
||||
pass
|
||||
|
||||
@abc.abstractmethod
|
||||
async def process(self, query: pipeline_query.Query, message: str = None, image_url=None) -> entities.FilterResult:
|
||||
"""处理消息
|
||||
|
||||
分为前后阶段，具体取决于 enable_stages 的值。
|
||||
对于内容过滤器来说，不需要考虑消息所处的阶段，只需要检查消息内容即可。
|
||||
It is divided into two stages, depending on the value of enable_stages.
|
||||
For content filters, you do not need to consider the stage of the message, you only need to check the message content.
|
||||
|
||||
Args:
|
||||
message (str): 需要检查的内容
|
||||
image_url (str): 要检查的图片的 URL
|
||||
message (str): Content to check
|
||||
image_url (str): URL of the image to check
|
||||
|
||||
Returns:
|
||||
entities.FilterResult: 过滤结果，具体内容请查看 entities.FilterResult 类的文档
|
||||
entities.FilterResult: Filter result, please refer to the documentation of entities.FilterResult class
|
||||
"""
|
||||
raise NotImplementedError
|
||||
|
||||
@@ -8,7 +8,7 @@ import langbot_plugin.api.entities.builtin.pipeline.query as pipeline_query
|
||||
|
||||
@filter_model.filter_class('ban-word-filter')
|
||||
class BanWordFilter(filter_model.ContentFilter):
|
||||
"""根据内容过滤"""
|
||||
"""Filter content"""
|
||||
|
||||
async def initialize(self):
|
||||
pass
|
||||
|
||||
@@ -8,7 +8,7 @@ import langbot_plugin.api.entities.builtin.pipeline.query as pipeline_query
|
||||
|
||||
@filter_model.filter_class('content-ignore')
|
||||
class ContentIgnore(filter_model.ContentFilter):
|
||||
"""根据内容忽略消息"""
|
||||
"""Ignore message according to content"""
|
||||
|
||||
@property
|
||||
def enable_stages(self):
|
||||
@@ -24,7 +24,7 @@ class ContentIgnore(filter_model.ContentFilter):
|
||||
level=entities.ResultLevel.BLOCK,
|
||||
replacement='',
|
||||
user_notice='',
|
||||
console_notice='根据 ignore_rules 中的 prefix 规则，忽略消息',
|
||||
console_notice='Ignore message according to prefix rule in ignore_rules',
|
||||
)
|
||||
|
||||
if 'regexp' in query.pipeline_config['trigger']['ignore-rules']:
|
||||
@@ -34,7 +34,7 @@ class ContentIgnore(filter_model.ContentFilter):
|
||||
level=entities.ResultLevel.BLOCK,
|
||||
replacement='',
|
||||
user_notice='',
|
||||
console_notice='根据 ignore_rules 中的 regexp 规则，忽略消息',
|
||||
console_notice='Ignore message according to regexp rule in ignore_rules',
|
||||
)
|
||||
|
||||
return entities.FilterResult(
|
||||
|
||||
@@ -15,9 +15,9 @@ importutil.import_modules_in_pkg(strategies)
|
||||
|
||||
@stage.stage_class('LongTextProcessStage')
|
||||
class LongTextProcessStage(stage.PipelineStage):
|
||||
"""长消息处理阶段
|
||||
"""Long message processing stage
|
||||
|
||||
改写：
|
||||
Rewrite:
|
||||
- resp_message_chain
|
||||
"""
|
||||
|
||||
@@ -35,22 +35,22 @@ class LongTextProcessStage(stage.PipelineStage):
|
||||
use_font = 'C:/Windows/Fonts/msyh.ttc'
|
||||
if not os.path.exists(use_font):
|
||||
self.ap.logger.warn(
|
||||
'未找到字体文件，且无法使用Windows自带字体，更换为转发消息组件以发送长消息，您可以在配置文件中调整相关设置。'
|
||||
'Font file not found, and Windows system font cannot be used, switch to forward message component to send long messages, you can adjust the related settings in the configuration file.'
|
||||
)
|
||||
config['blob_message_strategy'] = 'forward'
|
||||
else:
|
||||
self.ap.logger.info('使用Windows自带字体：' + use_font)
|
||||
self.ap.logger.info('Using Windows system font: ' + use_font)
|
||||
config['font-path'] = use_font
|
||||
else:
|
||||
self.ap.logger.warn(
|
||||
'未找到字体文件，且无法使用系统自带字体，更换为转发消息组件以发送长消息，您可以在配置文件中调整相关设置。'
|
||||
'Font file not found, and system font cannot be used, switch to forward message component to send long messages, you can adjust the related settings in the configuration file.'
|
||||
)
|
||||
|
||||
pipeline_config['output']['long-text-processing']['strategy'] = 'forward'
|
||||
except Exception:
|
||||
traceback.print_exc()
|
||||
self.ap.logger.error(
|
||||
'加载字体文件失败({})，更换为转发消息组件以发送长消息，您可以在配置文件中调整相关设置。'.format(
|
||||
'Failed to load font file ({}), switch to forward message component to send long messages, you can adjust the related settings in the configuration file.'.format(
|
||||
use_font
|
||||
)
|
||||
)
|
||||
@@ -62,7 +62,7 @@ class LongTextProcessStage(stage.PipelineStage):
|
||||
self.strategy_impl = strategy_cls(self.ap)
|
||||
break
|
||||
else:
|
||||
raise ValueError(f'未找到名为 {config["strategy"]} 的长消息处理策略')
|
||||
raise ValueError(f'Long message processing strategy not found: {config["strategy"]}')
|
||||
|
||||
await self.strategy_impl.initialize()
|
||||
|
||||
@@ -76,7 +76,7 @@ class LongTextProcessStage(stage.PipelineStage):
|
||||
break
|
||||
|
||||
if contains_non_plain:
|
||||
self.ap.logger.debug('消息中包含非 Plain 组件，跳过长消息处理。')
|
||||
self.ap.logger.debug('Message contains non-Plain components, skip long message processing.')
|
||||
elif (
|
||||
len(str(query.resp_message_chain[-1]))
|
||||
> query.pipeline_config['output']['long-text-processing']['threshold']
|
||||
|
||||
@@ -15,17 +15,17 @@ Forward = platform_message.Forward
|
||||
class ForwardComponentStrategy(strategy_model.LongTextStrategy):
|
||||
async def process(self, message: str, query: pipeline_query.Query) -> list[platform_message.MessageComponent]:
|
||||
display = ForwardMessageDiaplay(
|
||||
title='群聊的聊天记录',
|
||||
brief='[聊天记录]',
|
||||
source='聊天记录',
|
||||
preview=['QQ用户: ' + message],
|
||||
summary='查看1条转发消息',
|
||||
title='Group chat history',
|
||||
brief='[Chat history]',
|
||||
source='Chat history',
|
||||
preview=['User: ' + message],
|
||||
summary='View 1 forwarded message',
|
||||
)
|
||||
|
||||
node_list = [
|
||||
platform_message.ForwardMessageNode(
|
||||
sender_id=query.adapter.bot_account_id,
|
||||
sender_name='QQ用户',
|
||||
sender_name='User',
|
||||
message_chain=platform_message.MessageChain([message]),
|
||||
)
|
||||
]
|
||||
|
||||
@@ -15,13 +15,13 @@ preregistered_strategies: list[typing.Type[LongTextStrategy]] = []
|
||||
def strategy_class(
|
||||
name: str,
|
||||
) -> typing.Callable[[typing.Type[LongTextStrategy]], typing.Type[LongTextStrategy]]:
|
||||
"""长文本处理策略类装饰器
|
||||
"""Long text processing strategy class decorator
|
||||
|
||||
Args:
|
||||
name (str): 策略名称
|
||||
name (str): Strategy name
|
||||
|
||||
Returns:
|
||||
typing.Callable[[typing.Type[LongTextStrategy]], typing.Type[LongTextStrategy]]: 装饰器
|
||||
typing.Callable[[typing.Type[LongTextStrategy]], typing.Type[LongTextStrategy]]: Decorator
|
||||
"""
|
||||
|
||||
def decorator(cls: typing.Type[LongTextStrategy]) -> typing.Type[LongTextStrategy]:
|
||||
@@ -37,7 +37,7 @@ def strategy_class(
|
||||
|
||||
|
||||
class LongTextStrategy(metaclass=abc.ABCMeta):
|
||||
"""长文本处理策略抽象类"""
|
||||
"""Long text processing strategy abstract class"""
|
||||
|
||||
name: str
|
||||
|
||||
@@ -53,13 +53,13 @@ class LongTextStrategy(metaclass=abc.ABCMeta):
|
||||
async def process(self, message: str, query: pipeline_query.Query) -> list[platform_message.MessageComponent]:
|
||||
"""处理长文本
|
||||
|
||||
在 platform.json 中配置 long-text-process 字段，只要 文本长度超过了 threshold 就会调用此方法
|
||||
If the text length exceeds the threshold, this method will be called.
|
||||
|
||||
Args:
|
||||
message (str): 消息
|
||||
query (core_entities.Query): 此次请求的上下文对象
|
||||
message (str): Message
|
||||
query (core_entities.Query): Query object
|
||||
|
||||
Returns:
|
||||
list[platform_message.MessageComponent]: 转换后的 平台 消息组件列表
|
||||
list[platform_message.MessageComponent]: Converted platform message components
|
||||
"""
|
||||
return []
|
||||
|
||||
@@ -11,9 +11,9 @@ importutil.import_modules_in_pkg(truncators)
|
||||
|
||||
@stage.stage_class('ConversationMessageTruncator')
|
||||
class ConversationMessageTruncator(stage.PipelineStage):
|
||||
"""会话消息截断器
|
||||
"""Conversation message truncator
|
||||
|
||||
用于截断会话消息链，以适应平台消息长度限制。
|
||||
Used to truncate the conversation message chain to adapt to the LLM message length limit.
|
||||
"""
|
||||
|
||||
trun: truncator.Truncator
|
||||
@@ -26,7 +26,7 @@ class ConversationMessageTruncator(stage.PipelineStage):
|
||||
self.trun = trun(self.ap)
|
||||
break
|
||||
else:
|
||||
raise ValueError(f'未知的截断器: {use_method}')
|
||||
raise ValueError(f'Unknown truncator: {use_method}')
|
||||
|
||||
async def process(self, query: pipeline_query.Query, stage_inst_name: str) -> entities.StageProcessResult:
|
||||
"""处理"""
|
||||
|
||||
@@ -6,7 +6,7 @@ import langbot_plugin.api.entities.builtin.pipeline.query as pipeline_query
|
||||
|
||||
@truncator.truncator_class('round')
|
||||
class RoundTruncator(truncator.Truncator):
|
||||
"""前文回合数阶段器"""
|
||||
"""Truncate the conversation message chain to adapt to the LLM message length limit."""
|
||||
|
||||
async def truncate(self, query: pipeline_query.Query) -> pipeline_query.Query:
|
||||
"""截断"""
|
||||
@@ -16,7 +16,7 @@ class RoundTruncator(truncator.Truncator):
|
||||
|
||||
current_round = 0
|
||||
|
||||
# 从后往前遍历
|
||||
# Traverse from back to front
|
||||
for msg in query.messages[::-1]:
|
||||
if current_round < max_round:
|
||||
temp_messages.append(msg)
|
||||
|
||||
@@ -97,7 +97,15 @@ class RuntimePipeline:
|
||||
query.message_event, platform_events.GroupMessage
|
||||
):
|
||||
result.user_notice.insert(0, platform_message.At(query.message_event.sender.id))
|
||||
|
||||
if await query.adapter.is_stream_output_supported():
|
||||
await query.adapter.reply_message_chunk(
|
||||
message_source=query.message_event,
|
||||
bot_message=query.resp_messages[-1],
|
||||
message=result.user_notice,
|
||||
quote_origin=query.pipeline_config['output']['misc']['quote-origin'],
|
||||
is_final=[msg.is_final for msg in query.resp_messages][0],
|
||||
)
|
||||
else:
|
||||
await query.adapter.reply_message(
|
||||
message_source=query.message_event,
|
||||
message=result.user_notice,
|
||||
@@ -148,23 +156,27 @@ class RuntimePipeline:
|
||||
result = await result
|
||||
|
||||
if isinstance(result, pipeline_entities.StageProcessResult): # 直接返回结果
|
||||
self.ap.logger.debug(f'Stage {stage_container.inst_name} processed query {query} res {result}')
|
||||
self.ap.logger.debug(
|
||||
f'Stage {stage_container.inst_name} processed query {query.query_id} res {result.result_type}'
|
||||
)
|
||||
await self._check_output(query, result)
|
||||
|
||||
if result.result_type == pipeline_entities.ResultType.INTERRUPT:
|
||||
self.ap.logger.debug(f'Stage {stage_container.inst_name} interrupted query {query}')
|
||||
self.ap.logger.debug(f'Stage {stage_container.inst_name} interrupted query {query.query_id}')
|
||||
break
|
||||
elif result.result_type == pipeline_entities.ResultType.CONTINUE:
|
||||
query = result.new_query
|
||||
elif isinstance(result, typing.AsyncGenerator): # 生成器
|
||||
self.ap.logger.debug(f'Stage {stage_container.inst_name} processed query {query} gen')
|
||||
self.ap.logger.debug(f'Stage {stage_container.inst_name} processed query {query.query_id} gen')
|
||||
|
||||
async for sub_result in result:
|
||||
self.ap.logger.debug(f'Stage {stage_container.inst_name} processed query {query} res {sub_result}')
|
||||
self.ap.logger.debug(
|
||||
f'Stage {stage_container.inst_name} processed query {query.query_id} res {sub_result.result_type}'
|
||||
)
|
||||
await self._check_output(query, sub_result)
|
||||
|
||||
if sub_result.result_type == pipeline_entities.ResultType.INTERRUPT:
|
||||
self.ap.logger.debug(f'Stage {stage_container.inst_name} interrupted query {query}')
|
||||
self.ap.logger.debug(f'Stage {stage_container.inst_name} interrupted query {query.query_id}')
|
||||
break
|
||||
elif sub_result.result_type == pipeline_entities.ResultType.CONTINUE:
|
||||
query = sub_result.new_query
|
||||
@@ -196,7 +208,7 @@ class RuntimePipeline:
|
||||
if event_ctx.is_prevented_default():
|
||||
return
|
||||
|
||||
self.ap.logger.debug(f'Processing query {query}')
|
||||
self.ap.logger.debug(f'Processing query {query.query_id}')
|
||||
|
||||
await self._execute_from_stage(0, query)
|
||||
except Exception as e:
|
||||
@@ -204,7 +216,7 @@ class RuntimePipeline:
|
||||
self.ap.logger.error(f'处理请求时出错 query_id={query.query_id} stage={inst_name} : {e}')
|
||||
self.ap.logger.error(f'Traceback: {traceback.format_exc()}')
|
||||
finally:
|
||||
self.ap.logger.debug(f'Query {query} processed')
|
||||
self.ap.logger.debug(f'Query {query.query_id} processed')
|
||||
del self.ap.query_pool.cached_queries[query.query_id]
|
||||
|
||||
|
||||
|
||||
@@ -11,11 +11,11 @@ import langbot_plugin.api.entities.builtin.pipeline.query as pipeline_query
|
||||
|
||||
@stage.stage_class('PreProcessor')
|
||||
class PreProcessor(stage.PipelineStage):
|
||||
"""请求预处理阶段
|
||||
"""Request pre-processing stage
|
||||
|
||||
签出会话、prompt、上文、模型、内容函数。
|
||||
Check out session, prompt, context, model, and content functions.
|
||||
|
||||
改写：
|
||||
Rewrite:
|
||||
- session
|
||||
- prompt
|
||||
- messages
|
||||
@@ -29,12 +29,12 @@ class PreProcessor(stage.PipelineStage):
|
||||
query: pipeline_query.Query,
|
||||
stage_inst_name: str,
|
||||
) -> entities.StageProcessResult:
|
||||
"""处理"""
|
||||
"""Process"""
|
||||
selected_runner = query.pipeline_config['ai']['runner']['runner']
|
||||
|
||||
session = await self.ap.sess_mgr.get_session(query)
|
||||
|
||||
# 非 local-agent 时，llm_model 为 None
|
||||
# When not local-agent, llm_model is None
|
||||
llm_model = (
|
||||
await self.ap.model_mgr.get_model_by_uuid(query.pipeline_config['ai']['local-agent']['model'])
|
||||
if selected_runner == 'local-agent'
|
||||
@@ -80,7 +80,7 @@ class PreProcessor(stage.PipelineStage):
|
||||
if me.type == 'image_url':
|
||||
msg.content.remove(me)
|
||||
|
||||
content_list = []
|
||||
content_list: list[provider_message.ContentElement] = []
|
||||
|
||||
plain_text = ''
|
||||
qoute_msg = query.pipeline_config['trigger'].get('misc', '').get('combine-quote-message')
|
||||
|
||||
@@ -25,7 +25,7 @@ class MessageHandler(metaclass=abc.ABCMeta):
|
||||
|
||||
def cut_str(self, s: str) -> str:
|
||||
"""
|
||||
取字符串第一行，最多20个字符，若有多行，或超过20个字符，则加省略号
|
||||
Take the first line of the string, up to 20 characters, if there are multiple lines, or more than 20 characters, add an ellipsis
|
||||
"""
|
||||
s0 = s.split('\n')[0]
|
||||
if len(s0) > 20 or '\n' in s:
|
||||
|
||||
@@ -1,5 +1,6 @@
|
||||
from __future__ import annotations
|
||||
|
||||
import uuid
|
||||
import typing
|
||||
import traceback
|
||||
|
||||
@@ -48,7 +49,6 @@ class ChatMessageHandler(handler.MessageHandler):
|
||||
if event_ctx.is_prevented_default():
|
||||
if event_ctx.event.reply is not None:
|
||||
mc = platform_message.MessageChain(event_ctx.event.reply)
|
||||
|
||||
query.resp_messages.append(mc)
|
||||
|
||||
yield entities.StageProcessResult(result_type=entities.ResultType.CONTINUE, new_query=query)
|
||||
@@ -60,6 +60,10 @@ class ChatMessageHandler(handler.MessageHandler):
|
||||
query.user_message.content = event_ctx.event.alter
|
||||
|
||||
text_length = 0
|
||||
try:
|
||||
is_stream = await query.adapter.is_stream_output_supported()
|
||||
except AttributeError:
|
||||
is_stream = False
|
||||
|
||||
try:
|
||||
for r in runner_module.preregistered_runners:
|
||||
@@ -68,7 +72,25 @@ class ChatMessageHandler(handler.MessageHandler):
|
||||
break
|
||||
else:
|
||||
raise ValueError(f'未找到请求运行器: {query.pipeline_config["ai"]["runner"]["runner"]}')
|
||||
if is_stream:
|
||||
resp_message_id = uuid.uuid4()
|
||||
await query.adapter.create_message_card(str(resp_message_id), query.message_event)
|
||||
async for result in runner.run(query):
|
||||
result.resp_message_id = str(resp_message_id)
|
||||
if query.resp_messages:
|
||||
query.resp_messages.pop()
|
||||
if query.resp_message_chain:
|
||||
query.resp_message_chain.pop()
|
||||
|
||||
query.resp_messages.append(result)
|
||||
self.ap.logger.info(f'对话({query.query_id})流式响应: {self.cut_str(result.readable_str())}')
|
||||
|
||||
if result.content is not None:
|
||||
text_length += len(result.content)
|
||||
|
||||
yield entities.StageProcessResult(result_type=entities.ResultType.CONTINUE, new_query=query)
|
||||
|
||||
else:
|
||||
async for result in runner.run(query):
|
||||
query.resp_messages.append(result)
|
||||
|
||||
@@ -80,9 +102,11 @@ class ChatMessageHandler(handler.MessageHandler):
|
||||
yield entities.StageProcessResult(result_type=entities.ResultType.CONTINUE, new_query=query)
|
||||
|
||||
query.session.using_conversation.messages.append(query.user_message)
|
||||
|
||||
query.session.using_conversation.messages.extend(query.resp_messages)
|
||||
except Exception as e:
|
||||
self.ap.logger.error(f'对话({query.query_id})请求失败: {type(e).__name__} {str(e)}')
|
||||
traceback.print_exc()
|
||||
|
||||
hide_exception_info = query.pipeline_config['output']['misc']['hide-exception']
|
||||
|
||||
|
||||
@@ -16,7 +16,7 @@ class CommandHandler(handler.MessageHandler):
|
||||
self,
|
||||
query: pipeline_query.Query,
|
||||
) -> typing.AsyncGenerator[entities.StageProcessResult, None]:
|
||||
"""处理"""
|
||||
"""Process"""
|
||||
|
||||
command_text = str(query.message_chain).strip()[1:]
|
||||
|
||||
@@ -71,7 +71,7 @@ class CommandHandler(handler.MessageHandler):
|
||||
)
|
||||
)
|
||||
|
||||
self.ap.logger.info(f'命令({query.query_id})报错: {self.cut_str(str(ret.error))}')
|
||||
self.ap.logger.info(f'Command({query.query_id}) error: {self.cut_str(str(ret.error))}')
|
||||
|
||||
yield entities.StageProcessResult(result_type=entities.ResultType.CONTINUE, new_query=query)
|
||||
elif ret.text is not None or ret.image_url is not None:
|
||||
@@ -90,7 +90,7 @@ class CommandHandler(handler.MessageHandler):
|
||||
)
|
||||
)
|
||||
|
||||
self.ap.logger.info(f'命令返回: {self.cut_str(str(content[0]))}')
|
||||
self.ap.logger.info(f'Command returned: {self.cut_str(str(content[0]))}')
|
||||
|
||||
yield entities.StageProcessResult(result_type=entities.ResultType.CONTINUE, new_query=query)
|
||||
else:
|
||||
|
||||
@@ -33,11 +33,11 @@ class Processor(stage.PipelineStage):
|
||||
query: pipeline_query.Query,
|
||||
stage_inst_name: str,
|
||||
) -> entities.StageProcessResult:
|
||||
"""处理"""
|
||||
"""Process"""
|
||||
message_text = str(query.message_chain).strip()
|
||||
|
||||
self.ap.logger.info(
|
||||
f'处理 {query.launcher_type.value}_{query.launcher_id} 的请求({query.query_id}): {message_text}'
|
||||
f'Processing request from {query.launcher_type.value}_{query.launcher_id} ({query.query_id}): {message_text}'
|
||||
)
|
||||
|
||||
async def generator():
|
||||
|
||||
@@ -6,6 +6,7 @@ import asyncio
|
||||
|
||||
import langbot_plugin.api.entities.builtin.platform.events as platform_events
|
||||
import langbot_plugin.api.entities.builtin.platform.message as platform_message
|
||||
import langbot_plugin.api.entities.builtin.provider.message as provider_message
|
||||
|
||||
from .. import stage, entities
|
||||
import langbot_plugin.api.entities.builtin.pipeline.query as pipeline_query
|
||||
@@ -36,6 +37,18 @@ class SendResponseBackStage(stage.PipelineStage):
|
||||
|
||||
quote_origin = query.pipeline_config['output']['misc']['quote-origin']
|
||||
|
||||
has_chunks = any(isinstance(msg, provider_message.MessageChunk) for msg in query.resp_messages)
|
||||
# TODO 命令与流式的兼容性问题
|
||||
if await query.adapter.is_stream_output_supported() and has_chunks:
|
||||
is_final = [msg.is_final for msg in query.resp_messages][0]
|
||||
await query.adapter.reply_message_chunk(
|
||||
message_source=query.message_event,
|
||||
bot_message=query.resp_messages[-1],
|
||||
message=query.resp_message_chain[-1],
|
||||
quote_origin=quote_origin,
|
||||
is_final=is_final,
|
||||
)
|
||||
else:
|
||||
await query.adapter.reply_message(
|
||||
message_source=query.message_event,
|
||||
message=query.resp_message_chain[-1],
|
||||
|
||||
@@ -115,8 +115,10 @@ class RuntimeBot:
|
||||
if isinstance(e, asyncio.CancelledError):
|
||||
self.task_context.set_current_action('Exited.')
|
||||
return
|
||||
|
||||
traceback_str = traceback.format_exc()
|
||||
self.task_context.set_current_action('Exited with error.')
|
||||
await self.logger.error(f'平台适配器运行出错:\n{e}\n{traceback.format_exc()}')
|
||||
await self.logger.error(f'平台适配器运行出错:\n{e}\n{traceback_str}')
|
||||
|
||||
self.task_wrapper = self.ap.task_mgr.create_task(
|
||||
exception_wrapper(),
|
||||
@@ -169,8 +171,8 @@ class PlatformManager:
|
||||
{},
|
||||
webchat_logger,
|
||||
ap=self.ap,
|
||||
is_stream=False,
|
||||
)
|
||||
webchat_adapter_inst.ap = self.ap
|
||||
|
||||
self.webchat_proxy_bot = RuntimeBot(
|
||||
ap=self.ap,
|
||||
|
||||
@@ -120,7 +120,7 @@ class EventLogger(abstract_platform_event_logger.AbstractEventLogger):
|
||||
async def _truncate_logs(self):
|
||||
if len(self.logs) > MAX_LOG_COUNT:
|
||||
for i in range(DELETE_COUNT_PER_TIME):
|
||||
for image_key in self.logs[i].images:
|
||||
for image_key in self.logs[i].images: # type: ignore
|
||||
await self.ap.storage_mgr.storage_provider.delete(image_key)
|
||||
self.logs = self.logs[DELETE_COUNT_PER_TIME:]
|
||||
|
||||
|
||||
@@ -61,7 +61,7 @@ class AiocqhttpMessageConverter(abstract_platform_adapter.AbstractMessageConvert
|
||||
for node in msg.node_list:
|
||||
msg_list.extend((await AiocqhttpMessageConverter.yiri2target(node.message_chain))[0])
|
||||
elif isinstance(msg, platform_message.File):
|
||||
msg_list.append({"type":"file", "data":{'file': msg.url, "name": msg.name}})
|
||||
msg_list.append({'type': 'file', 'data': {'file': msg.url, 'name': msg.name}})
|
||||
elif isinstance(msg, platform_message.Face):
|
||||
if msg.face_type == 'face':
|
||||
msg_list.append(aiocqhttp.MessageSegment.face(msg.face_id))
|
||||
@@ -76,42 +76,128 @@ class AiocqhttpMessageConverter(abstract_platform_adapter.AbstractMessageConvert
|
||||
return msg_list, msg_id, msg_time
|
||||
|
||||
@staticmethod
|
||||
async def target2yiri(message: str, message_id: int = -1, bot=None):
|
||||
async def target2yiri(message: str, message_id: int = -1, bot: aiocqhttp.CQHttp = None):
|
||||
message = aiocqhttp.Message(message)
|
||||
|
||||
def get_face_name(face_id):
|
||||
face_code_dict = {
|
||||
"2": '好色',
|
||||
"4": "得意", "5": "流泪", "8": "睡", "9": "大哭", "10": "尴尬", "12": "调皮", "14": "微笑", "16": "酷",
|
||||
"21": "可爱",
|
||||
"23": "傲慢", "24": "饥饿", "25": "困", "26": "惊恐", "27": "流汗", "28": "憨笑", "29": "悠闲",
|
||||
"30": "奋斗",
|
||||
"32": "疑问", "33": "嘘", "34": "晕", "38": "敲打", "39": "再见", "41": "发抖", "42": "爱情",
|
||||
"43": "跳跳",
|
||||
"49": "拥抱", "53": "蛋糕", "60": "咖啡", "63": "玫瑰", "66": "爱心", "74": "太阳", "75": "月亮",
|
||||
"76": "赞",
|
||||
"78": "握手", "79": "胜利", "85": "飞吻", "89": "西瓜", "96": "冷汗", "97": "擦汗", "98": "抠鼻",
|
||||
"99": "鼓掌",
|
||||
"100": "糗大了", "101": "坏笑", "102": "左哼哼", "103": "右哼哼", "104": "哈欠", "106": "委屈",
|
||||
"109": "左亲亲",
|
||||
"111": "可怜", "116": "示爱", "118": "抱拳", "120": "拳头", "122": "爱你", "123": "NO", "124": "OK",
|
||||
"125": "转圈",
|
||||
"129": "挥手", "144": "喝彩", "147": "棒棒糖", "171": "茶", "173": "泪奔", "174": "无奈", "175": "卖萌",
|
||||
"176": "小纠结", "179": "doge", "180": "惊喜", "181": "骚扰", "182": "笑哭", "183": "我最美",
|
||||
"201": "点赞",
|
||||
"203": "托脸", "212": "托腮", "214": "啵啵", "219": "蹭一蹭", "222": "抱抱", "227": "拍手",
|
||||
"232": "佛系",
|
||||
"240": "喷脸", "243": "甩头", "246": "加油抱抱", "262": "脑阔疼", "264": "捂脸", "265": "辣眼睛",
|
||||
"266": "哦哟",
|
||||
"267": "头秃", "268": "问号脸", "269": "暗中观察", "270": "emm", "271": "吃瓜", "272": "呵呵哒",
|
||||
"273": "我酸了",
|
||||
"277": "汪汪", "278": "汗", "281": "无眼笑", "282": "敬礼", "284": "面无表情", "285": "摸鱼",
|
||||
"287": "哦",
|
||||
"289": "睁眼", "290": "敲开心", "293": "摸锦鲤", "294": "期待", "297": "拜谢", "298": "元宝",
|
||||
"299": "牛啊",
|
||||
"305": "右亲亲", "306": "牛气冲天", "307": "喵喵", "314": "仔细分析", "315": "加油", "318": "崇拜",
|
||||
"319": "比心",
|
||||
"320": "庆祝", "322": "拒绝", "324": "吃糖", "326": "生气"
|
||||
'2': '好色',
|
||||
'4': '得意',
|
||||
'5': '流泪',
|
||||
'8': '睡',
|
||||
'9': '大哭',
|
||||
'10': '尴尬',
|
||||
'12': '调皮',
|
||||
'14': '微笑',
|
||||
'16': '酷',
|
||||
'21': '可爱',
|
||||
'23': '傲慢',
|
||||
'24': '饥饿',
|
||||
'25': '困',
|
||||
'26': '惊恐',
|
||||
'27': '流汗',
|
||||
'28': '憨笑',
|
||||
'29': '悠闲',
|
||||
'30': '奋斗',
|
||||
'32': '疑问',
|
||||
'33': '嘘',
|
||||
'34': '晕',
|
||||
'38': '敲打',
|
||||
'39': '再见',
|
||||
'41': '发抖',
|
||||
'42': '爱情',
|
||||
'43': '跳跳',
|
||||
'49': '拥抱',
|
||||
'53': '蛋糕',
|
||||
'60': '咖啡',
|
||||
'63': '玫瑰',
|
||||
'66': '爱心',
|
||||
'74': '太阳',
|
||||
'75': '月亮',
|
||||
'76': '赞',
|
||||
'78': '握手',
|
||||
'79': '胜利',
|
||||
'85': '飞吻',
|
||||
'89': '西瓜',
|
||||
'96': '冷汗',
|
||||
'97': '擦汗',
|
||||
'98': '抠鼻',
|
||||
'99': '鼓掌',
|
||||
'100': '糗大了',
|
||||
'101': '坏笑',
|
||||
'102': '左哼哼',
|
||||
'103': '右哼哼',
|
||||
'104': '哈欠',
|
||||
'106': '委屈',
|
||||
'109': '左亲亲',
|
||||
'111': '可怜',
|
||||
'116': '示爱',
|
||||
'118': '抱拳',
|
||||
'120': '拳头',
|
||||
'122': '爱你',
|
||||
'123': 'NO',
|
||||
'124': 'OK',
|
||||
'125': '转圈',
|
||||
'129': '挥手',
|
||||
'144': '喝彩',
|
||||
'147': '棒棒糖',
|
||||
'171': '茶',
|
||||
'173': '泪奔',
|
||||
'174': '无奈',
|
||||
'175': '卖萌',
|
||||
'176': '小纠结',
|
||||
'179': 'doge',
|
||||
'180': '惊喜',
|
||||
'181': '骚扰',
|
||||
'182': '笑哭',
|
||||
'183': '我最美',
|
||||
'201': '点赞',
|
||||
'203': '托脸',
|
||||
'212': '托腮',
|
||||
'214': '啵啵',
|
||||
'219': '蹭一蹭',
|
||||
'222': '抱抱',
|
||||
'227': '拍手',
|
||||
'232': '佛系',
|
||||
'240': '喷脸',
|
||||
'243': '甩头',
|
||||
'246': '加油抱抱',
|
||||
'262': '脑阔疼',
|
||||
'264': '捂脸',
|
||||
'265': '辣眼睛',
|
||||
'266': '哦哟',
|
||||
'267': '头秃',
|
||||
'268': '问号脸',
|
||||
'269': '暗中观察',
|
||||
'270': 'emm',
|
||||
'271': '吃瓜',
|
||||
'272': '呵呵哒',
|
||||
'273': '我酸了',
|
||||
'277': '汪汪',
|
||||
'278': '汗',
|
||||
'281': '无眼笑',
|
||||
'282': '敬礼',
|
||||
'284': '面无表情',
|
||||
'285': '摸鱼',
|
||||
'287': '哦',
|
||||
'289': '睁眼',
|
||||
'290': '敲开心',
|
||||
'293': '摸锦鲤',
|
||||
'294': '期待',
|
||||
'297': '拜谢',
|
||||
'298': '元宝',
|
||||
'299': '牛啊',
|
||||
'305': '右亲亲',
|
||||
'306': '牛气冲天',
|
||||
'307': '喵喵',
|
||||
'314': '仔细分析',
|
||||
'315': '加油',
|
||||
'318': '崇拜',
|
||||
'319': '比心',
|
||||
'320': '庆祝',
|
||||
'322': '拒绝',
|
||||
'324': '吃糖',
|
||||
'326': '生气',
|
||||
}
|
||||
return face_code_dict.get(face_id, '')
|
||||
|
||||
@@ -156,10 +242,10 @@ class AiocqhttpMessageConverter(abstract_platform_adapter.AbstractMessageConvert
|
||||
elif msg.type == 'text':
|
||||
yiri_msg_list.append(platform_message.Plain(text=msg.data['text']))
|
||||
elif msg.type == 'image':
|
||||
emoji_id = msg.data.get("emoji_package_id", None)
|
||||
emoji_id = msg.data.get('emoji_package_id', None)
|
||||
if emoji_id:
|
||||
face_id = emoji_id
|
||||
face_name = msg.data.get("summary", '')
|
||||
face_name = msg.data.get('summary', '')
|
||||
image_msg = platform_message.Face(face_id=face_id, face_name=face_name)
|
||||
else:
|
||||
image_base64, image_format = await image.qq_image_url_to_base64(msg.data['url'])
|
||||
@@ -185,15 +271,16 @@ class AiocqhttpMessageConverter(abstract_platform_adapter.AbstractMessageConvert
|
||||
yiri_msg_list.append(reply_msg)
|
||||
|
||||
elif msg.type == 'file':
|
||||
pass
|
||||
# file_name = msg.data['file']
|
||||
file_id = msg.data['file_id']
|
||||
file_data = await bot.get_file(file_id=file_id)
|
||||
file_name = file_data.get('file_name')
|
||||
file_path = file_data.get('file')
|
||||
_ = file_path
|
||||
file_url = file_data.get('file_url')
|
||||
file_size = file_data.get('file_size')
|
||||
yiri_msg_list.append(platform_message.File(id=file_id, name=file_name,url=file_url,size=file_size))
|
||||
# file_id = msg.data['file_id']
|
||||
# file_data = await bot.get_file(file_id=file_id)
|
||||
# file_name = file_data.get('file_name')
|
||||
# file_path = file_data.get('file')
|
||||
# _ = file_path
|
||||
# file_url = file_data.get('file_url')
|
||||
# file_size = file_data.get('file_size')
|
||||
# yiri_msg_list.append(platform_message.File(id=file_id, name=file_name,url=file_url,size=file_size))
|
||||
elif msg.type == 'face':
|
||||
face_id = msg.data['id']
|
||||
face_name = msg.data['raw']['faceText']
|
||||
@@ -202,7 +289,7 @@ class AiocqhttpMessageConverter(abstract_platform_adapter.AbstractMessageConvert
|
||||
yiri_msg_list.append(platform_message.Face(face_id=int(face_id), face_name=face_name.replace('/', '')))
|
||||
elif msg.type == 'rps':
|
||||
face_id = msg.data['result']
|
||||
yiri_msg_list.append(platform_message.Face(face_type="rps",face_id=int(face_id),face_name='猜拳'))
|
||||
yiri_msg_list.append(platform_message.Face(face_type='rps', face_id=int(face_id), face_name='猜拳'))
|
||||
elif msg.type == 'dice':
|
||||
face_id = msg.data['result']
|
||||
yiri_msg_list.append(platform_message.Face(face_type='dice', face_id=int(face_id), face_name='骰子'))
|
||||
@@ -221,7 +308,6 @@ class AiocqhttpEventConverter(abstract_platform_adapter.AbstractEventConverter):
|
||||
async def target2yiri(event: aiocqhttp.Event, bot=None):
|
||||
yiri_chain = await AiocqhttpMessageConverter.target2yiri(event.message, event.message_id, bot)
|
||||
|
||||
|
||||
if event.message_type == 'group':
|
||||
permission = 'MEMBER'
|
||||
|
||||
|
||||
@@ -96,10 +96,16 @@ class DingTalkAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
|
||||
message_converter: DingTalkMessageConverter = DingTalkMessageConverter()
|
||||
event_converter: DingTalkEventConverter = DingTalkEventConverter()
|
||||
config: dict
|
||||
card_instance_id_dict: (
|
||||
dict # 回复卡片消息字典，key为消息id，value为回复卡片实例id，用于在流式消息时判断是否发送到指定卡片
|
||||
)
|
||||
seq: int # 消息顺序，直接以seq作为标识
|
||||
|
||||
def __init__(self, config: dict, logger: EventLogger):
|
||||
self.config = config
|
||||
self.logger = logger
|
||||
self.card_instance_id_dict = {}
|
||||
# self.seq = 1
|
||||
required_keys = [
|
||||
'client_id',
|
||||
'client_secret',
|
||||
@@ -112,6 +118,15 @@ class DingTalkAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
|
||||
|
||||
self.bot_account_id = self.config['robot_name']
|
||||
|
||||
self.bot = DingTalkClient(
|
||||
client_id=config['client_id'],
|
||||
client_secret=config['client_secret'],
|
||||
robot_name=config['robot_name'],
|
||||
robot_code=config['robot_code'],
|
||||
markdown_card=config['markdown_card'],
|
||||
logger=self.logger,
|
||||
)
|
||||
|
||||
async def reply_message(
|
||||
self,
|
||||
message_source: platform_events.MessageEvent,
|
||||
@@ -126,6 +141,33 @@ class DingTalkAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
|
||||
content, at = await DingTalkMessageConverter.yiri2target(message)
|
||||
await self.bot.send_message(content, incoming_message, at)
|
||||
|
||||
async def reply_message_chunk(
|
||||
self,
|
||||
message_source: platform_events.MessageEvent,
|
||||
bot_message,
|
||||
message: platform_message.MessageChain,
|
||||
quote_origin: bool = False,
|
||||
is_final: bool = False,
|
||||
):
|
||||
# event = await DingTalkEventConverter.yiri2target(
|
||||
# message_source,
|
||||
# )
|
||||
# incoming_message = event.incoming_message
|
||||
|
||||
# msg_id = incoming_message.message_id
|
||||
message_id = bot_message.resp_message_id
|
||||
msg_seq = bot_message.msg_sequence
|
||||
|
||||
if (msg_seq - 1) % 8 == 0 or is_final:
|
||||
content, at = await DingTalkMessageConverter.yiri2target(message)
|
||||
|
||||
card_instance, card_instance_id = self.card_instance_id_dict[message_id]
|
||||
# print(card_instance_id)
|
||||
await self.bot.send_card_message(card_instance, card_instance_id, content, is_final)
|
||||
if is_final and bot_message.tool_calls is None:
|
||||
# self.seq = 1 # 消息回复结束之后重置seq
|
||||
self.card_instance_id_dict.pop(message_id) # 消息回复结束之后删除卡片实例id
|
||||
|
||||
async def send_message(self, target_type: str, target_id: str, message: platform_message.MessageChain):
|
||||
content = await DingTalkMessageConverter.yiri2target(message)
|
||||
if target_type == 'person':
|
||||
@@ -133,6 +175,20 @@ class DingTalkAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
|
||||
if target_type == 'group':
|
||||
await self.bot.send_proactive_message_to_group(target_id, content)
|
||||
|
||||
async def is_stream_output_supported(self) -> bool:
|
||||
is_stream = False
|
||||
if self.config.get('enable-stream-reply', None):
|
||||
is_stream = True
|
||||
return is_stream
|
||||
|
||||
async def create_message_card(self, message_id, event):
|
||||
card_template_id = self.config['card_template_id']
|
||||
incoming_message = event.source_platform_object.incoming_message
|
||||
# message_id = incoming_message.message_id
|
||||
card_instance, card_instance_id = await self.bot.create_and_card(card_template_id, incoming_message)
|
||||
self.card_instance_id_dict[message_id] = (card_instance, card_instance_id)
|
||||
return True
|
||||
|
||||
def register_listener(
|
||||
self,
|
||||
event_type: typing.Type[platform_events.Event],
|
||||
@@ -155,15 +211,6 @@ class DingTalkAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
|
||||
self.bot.on_message('GroupMessage')(on_message)
|
||||
|
||||
async def run_async(self):
|
||||
config = self.config
|
||||
self.bot = DingTalkClient(
|
||||
client_id=config['client_id'],
|
||||
client_secret=config['client_secret'],
|
||||
robot_name=config['robot_name'],
|
||||
robot_code=config['robot_code'],
|
||||
markdown_card=config['markdown_card'],
|
||||
logger=self.logger,
|
||||
)
|
||||
await self.bot.start()
|
||||
|
||||
async def kill(self) -> bool:
|
||||
|
||||
@@ -46,6 +46,23 @@ spec:
|
||||
type: boolean
|
||||
required: false
|
||||
default: true
|
||||
- name: enable-stream-reply
|
||||
label:
|
||||
en_US: Enable Stream Reply Mode
|
||||
zh_Hans: 启用钉钉卡片流式回复模式
|
||||
description:
|
||||
en_US: If enabled, the bot will use the stream of lark reply mode
|
||||
zh_Hans: 如果启用，将使用钉钉卡片流式方式来回复内容
|
||||
type: boolean
|
||||
required: true
|
||||
default: false
|
||||
- name: card_template_id
|
||||
label:
|
||||
en_US: card template id
|
||||
zh_Hans: 卡片模板ID
|
||||
type: string
|
||||
required: true
|
||||
default: "填写你的卡片template_id"
|
||||
execution:
|
||||
python:
|
||||
path: ./dingtalk.py
|
||||
|
||||
@@ -8,6 +8,8 @@ import base64
|
||||
import uuid
|
||||
import os
|
||||
import datetime
|
||||
import asyncio
|
||||
from enum import Enum
|
||||
|
||||
import aiohttp
|
||||
import pydantic
|
||||
@@ -17,6 +19,568 @@ import langbot_plugin.api.entities.builtin.platform.message as platform_message
|
||||
import langbot_plugin.api.entities.builtin.platform.events as platform_events
|
||||
import langbot_plugin.api.entities.builtin.platform.entities as platform_entities
|
||||
import langbot_plugin.api.definition.abstract.platform.event_logger as abstract_platform_logger
|
||||
from ..logger import EventLogger
|
||||
|
||||
|
||||
# 语音功能相关异常定义
|
||||
class VoiceConnectionError(Exception):
|
||||
"""语音连接基础异常"""
|
||||
|
||||
def __init__(self, message: str, error_code: str = None, guild_id: int = None):
|
||||
super().__init__(message)
|
||||
self.error_code = error_code
|
||||
self.guild_id = guild_id
|
||||
self.timestamp = datetime.datetime.now()
|
||||
|
||||
|
||||
class VoicePermissionError(VoiceConnectionError):
|
||||
"""语音权限异常"""
|
||||
|
||||
def __init__(self, message: str, missing_permissions: list = None, user_id: int = None, channel_id: int = None):
|
||||
super().__init__(message, 'PERMISSION_ERROR')
|
||||
self.missing_permissions = missing_permissions or []
|
||||
self.user_id = user_id
|
||||
self.channel_id = channel_id
|
||||
|
||||
|
||||
class VoiceNetworkError(VoiceConnectionError):
|
||||
"""语音网络异常"""
|
||||
|
||||
def __init__(self, message: str, retry_count: int = 0):
|
||||
super().__init__(message, 'NETWORK_ERROR')
|
||||
self.retry_count = retry_count
|
||||
self.last_attempt = datetime.datetime.now()
|
||||
|
||||
|
||||
class VoiceConnectionStatus(Enum):
|
||||
"""语音连接状态枚举"""
|
||||
|
||||
IDLE = 'idle'
|
||||
CONNECTING = 'connecting'
|
||||
CONNECTED = 'connected'
|
||||
PLAYING = 'playing'
|
||||
RECONNECTING = 'reconnecting'
|
||||
FAILED = 'failed'
|
||||
|
||||
|
||||
class VoiceConnectionInfo:
|
||||
"""
|
||||
语音连接信息类
|
||||
|
||||
用于存储和管理单个语音连接的详细信息，包括连接状态、时间戳、
|
||||
频道信息等。提供连接信息的标准化数据结构。
|
||||
|
||||
@author: @ydzat
|
||||
@version: 1.0
|
||||
@since: 2025-07-04
|
||||
"""
|
||||
|
||||
def __init__(self, guild_id: int, channel_id: int, channel_name: str = None):
|
||||
"""
|
||||
初始化语音连接信息
|
||||
|
||||
@author: @ydzat
|
||||
|
||||
Args:
|
||||
guild_id (int): 服务器ID
|
||||
channel_id (int): 语音频道ID
|
||||
channel_name (str, optional): 语音频道名称
|
||||
"""
|
||||
self.guild_id = guild_id
|
||||
self.channel_id = channel_id
|
||||
self.channel_name = channel_name or f'Channel-{channel_id}'
|
||||
self.connected = False
|
||||
self.connection_time: datetime.datetime = None
|
||||
self.last_activity = datetime.datetime.now()
|
||||
self.status = VoiceConnectionStatus.IDLE
|
||||
self.user_count = 0
|
||||
self.latency = 0.0
|
||||
self.connection_health = 'unknown'
|
||||
self.voice_client = None
|
||||
|
||||
def update_status(self, status: VoiceConnectionStatus):
|
||||
"""
|
||||
更新连接状态
|
||||
|
||||
@author: @ydzat
|
||||
|
||||
Args:
|
||||
status (VoiceConnectionStatus): 新的连接状态
|
||||
"""
|
||||
self.status = status
|
||||
self.last_activity = datetime.datetime.now()
|
||||
|
||||
if status == VoiceConnectionStatus.CONNECTED:
|
||||
self.connected = True
|
||||
if self.connection_time is None:
|
||||
self.connection_time = datetime.datetime.now()
|
||||
elif status in [VoiceConnectionStatus.IDLE, VoiceConnectionStatus.FAILED]:
|
||||
self.connected = False
|
||||
self.connection_time = None
|
||||
self.voice_client = None
|
||||
|
||||
def to_dict(self) -> dict:
|
||||
"""
|
||||
转换为字典格式
|
||||
|
||||
@author: @ydzat
|
||||
|
||||
Returns:
|
||||
dict: 连接信息的字典表示
|
||||
"""
|
||||
return {
|
||||
'guild_id': self.guild_id,
|
||||
'channel_id': self.channel_id,
|
||||
'channel_name': self.channel_name,
|
||||
'connected': self.connected,
|
||||
'connection_time': self.connection_time.isoformat() if self.connection_time else None,
|
||||
'last_activity': self.last_activity.isoformat(),
|
||||
'status': self.status.value,
|
||||
'user_count': self.user_count,
|
||||
'latency': self.latency,
|
||||
'connection_health': self.connection_health,
|
||||
}
|
||||
|
||||
|
||||
class VoiceConnectionManager:
|
||||
"""
|
||||
语音连接管理器
|
||||
|
||||
负责管理多个服务器的语音连接，提供连接建立、断开、状态查询等功能。
|
||||
采用单例模式确保全局只有一个连接管理器实例。
|
||||
|
||||
@author: @ydzat
|
||||
@version: 1.0
|
||||
@since: 2025-07-04
|
||||
"""
|
||||
|
||||
def __init__(self, bot: discord.Client, logger: EventLogger):
|
||||
"""
|
||||
初始化语音连接管理器
|
||||
|
||||
@author: @ydzat
|
||||
|
||||
Args:
|
||||
bot (discord.Client): Discord 客户端实例
|
||||
logger (EventLogger): 事件日志记录器
|
||||
"""
|
||||
self.bot = bot
|
||||
self.logger = logger
|
||||
self.connections: typing.Dict[int, VoiceConnectionInfo] = {}
|
||||
self._connection_lock = asyncio.Lock()
|
||||
self._cleanup_task = None
|
||||
self._monitoring_enabled = True
|
||||
|
||||
async def join_voice_channel(self, guild_id: int, channel_id: int, user_id: int = None) -> discord.VoiceClient:
|
||||
"""
|
||||
加入语音频道
|
||||
|
||||
验证用户权限和频道状态后，建立到指定语音频道的连接。
|
||||
支持连接复用和自动重连机制。
|
||||
|
||||
@author: @ydzat
|
||||
|
||||
Args:
|
||||
guild_id (int): 服务器ID
|
||||
channel_id (int): 语音频道ID
|
||||
user_id (int, optional): 请求用户ID，用于权限验证
|
||||
|
||||
Returns:
|
||||
discord.VoiceClient: 语音客户端实例
|
||||
|
||||
Raises:
|
||||
VoicePermissionError: 权限不足时抛出
|
||||
VoiceNetworkError: 网络连接失败时抛出
|
||||
VoiceConnectionError: 其他连接错误时抛出
|
||||
"""
|
||||
async with self._connection_lock:
|
||||
try:
|
||||
# 获取服务器和频道对象
|
||||
guild = self.bot.get_guild(guild_id)
|
||||
if not guild:
|
||||
raise VoiceConnectionError(f'无法找到服务器 {guild_id}', 'GUILD_NOT_FOUND', guild_id)
|
||||
|
||||
channel = guild.get_channel(channel_id)
|
||||
if not channel or not isinstance(channel, discord.VoiceChannel):
|
||||
raise VoiceConnectionError(f'无法找到语音频道 {channel_id}', 'CHANNEL_NOT_FOUND', guild_id)
|
||||
|
||||
# 验证用户是否在语音频道中（如果提供了用户ID）
|
||||
if user_id:
|
||||
await self._validate_user_in_channel(guild, channel, user_id)
|
||||
|
||||
# 验证机器人权限
|
||||
await self._validate_bot_permissions(channel)
|
||||
|
||||
# 检查是否已有连接
|
||||
if guild_id in self.connections:
|
||||
existing_conn = self.connections[guild_id]
|
||||
if existing_conn.connected and existing_conn.voice_client:
|
||||
if existing_conn.channel_id == channel_id:
|
||||
# 已连接到相同频道，返回现有连接
|
||||
await self.logger.info(f'复用现有语音连接: {guild.name} -> {channel.name}')
|
||||
return existing_conn.voice_client
|
||||
else:
|
||||
# 连接到不同频道，先断开旧连接
|
||||
await self._disconnect_internal(guild_id)
|
||||
|
||||
# 建立新连接
|
||||
voice_client = await channel.connect()
|
||||
|
||||
# 更新连接信息
|
||||
conn_info = VoiceConnectionInfo(guild_id, channel_id, channel.name)
|
||||
conn_info.voice_client = voice_client
|
||||
conn_info.update_status(VoiceConnectionStatus.CONNECTED)
|
||||
conn_info.user_count = len(channel.members)
|
||||
self.connections[guild_id] = conn_info
|
||||
|
||||
await self.logger.info(f'成功连接到语音频道: {guild.name} -> {channel.name}')
|
||||
return voice_client
|
||||
|
||||
except discord.ClientException as e:
|
||||
raise VoiceNetworkError(f'Discord 客户端错误: {str(e)}')
|
||||
except discord.opus.OpusNotLoaded as e:
|
||||
raise VoiceConnectionError(f'Opus 编码器未加载: {str(e)}', 'OPUS_NOT_LOADED', guild_id)
|
||||
except Exception as e:
|
||||
await self.logger.error(f'连接语音频道时发生未知错误: {str(e)}')
|
||||
raise VoiceConnectionError(f'连接失败: {str(e)}', 'UNKNOWN_ERROR', guild_id)
|
||||
|
||||
async def leave_voice_channel(self, guild_id: int) -> bool:
|
||||
"""
|
||||
离开语音频道
|
||||
|
||||
断开指定服务器的语音连接，清理相关资源和状态信息。
|
||||
确保音频播放停止后再断开连接。
|
||||
|
||||
@author: @ydzat
|
||||
|
||||
Args:
|
||||
guild_id (int): 服务器ID
|
||||
|
||||
Returns:
|
||||
bool: 断开是否成功
|
||||
"""
|
||||
async with self._connection_lock:
|
||||
return await self._disconnect_internal(guild_id)
|
||||
|
||||
async def _disconnect_internal(self, guild_id: int) -> bool:
|
||||
"""
|
||||
内部断开连接方法
|
||||
|
||||
@author: @ydzat
|
||||
|
||||
Args:
|
||||
guild_id (int): 服务器ID
|
||||
|
||||
Returns:
|
||||
bool: 断开是否成功
|
||||
"""
|
||||
if guild_id not in self.connections:
|
||||
return True
|
||||
|
||||
conn_info = self.connections[guild_id]
|
||||
|
||||
try:
|
||||
if conn_info.voice_client and conn_info.voice_client.is_connected():
|
||||
# 停止当前播放
|
||||
if conn_info.voice_client.is_playing():
|
||||
conn_info.voice_client.stop()
|
||||
|
||||
# 等待播放完全停止
|
||||
await asyncio.sleep(0.1)
|
||||
|
||||
# 断开连接
|
||||
await conn_info.voice_client.disconnect()
|
||||
|
||||
conn_info.update_status(VoiceConnectionStatus.IDLE)
|
||||
del self.connections[guild_id]
|
||||
|
||||
await self.logger.info(f'已断开语音连接: Guild {guild_id}')
|
||||
return True
|
||||
|
||||
except Exception as e:
|
||||
await self.logger.error(f'断开语音连接时发生错误: {str(e)}')
|
||||
# 即使出错也要清理连接记录
|
||||
conn_info.update_status(VoiceConnectionStatus.FAILED)
|
||||
if guild_id in self.connections:
|
||||
del self.connections[guild_id]
|
||||
return False
|
||||
|
||||
async def get_voice_client(self, guild_id: int) -> typing.Optional[discord.VoiceClient]:
|
||||
"""
|
||||
获取语音客户端
|
||||
|
||||
返回指定服务器的语音客户端实例，如果未连接则返回 None。
|
||||
会验证连接的有效性，自动清理无效连接。
|
||||
|
||||
@author: @ydzat
|
||||
|
||||
Args:
|
||||
guild_id (int): 服务器ID
|
||||
|
||||
Returns:
|
||||
Optional[discord.VoiceClient]: 语音客户端实例或 None
|
||||
"""
|
||||
if guild_id not in self.connections:
|
||||
return None
|
||||
|
||||
conn_info = self.connections[guild_id]
|
||||
|
||||
# 验证连接是否仍然有效
|
||||
if conn_info.voice_client and not conn_info.voice_client.is_connected():
|
||||
# 连接已失效，清理状态
|
||||
await self._disconnect_internal(guild_id)
|
||||
return None
|
||||
|
||||
return conn_info.voice_client if conn_info.connected else None
|
||||
|
||||
async def is_connected_to_voice(self, guild_id: int) -> bool:
|
||||
"""
|
||||
检查是否连接到语音频道
|
||||
|
||||
@author: @ydzat
|
||||
|
||||
Args:
|
||||
guild_id (int): 服务器ID
|
||||
|
||||
Returns:
|
||||
bool: 是否已连接
|
||||
"""
|
||||
if guild_id not in self.connections:
|
||||
return False
|
||||
|
||||
conn_info = self.connections[guild_id]
|
||||
|
||||
# 检查实际连接状态
|
||||
if conn_info.voice_client and not conn_info.voice_client.is_connected():
|
||||
# 连接已失效，清理状态
|
||||
await self._disconnect_internal(guild_id)
|
||||
return False
|
||||
|
||||
return conn_info.connected
|
||||
|
||||
async def get_connection_status(self, guild_id: int) -> typing.Optional[dict]:
|
||||
"""
|
||||
获取连接状态信息
|
||||
|
||||
@author: @ydzat
|
||||
|
||||
Args:
|
||||
guild_id (int): 服务器ID
|
||||
|
||||
Returns:
|
||||
Optional[dict]: 连接状态信息字典或 None
|
||||
"""
|
||||
if guild_id not in self.connections:
|
||||
return None
|
||||
|
||||
conn_info = self.connections[guild_id]
|
||||
|
||||
# 更新实时信息
|
||||
if conn_info.voice_client and conn_info.voice_client.is_connected():
|
||||
conn_info.latency = conn_info.voice_client.latency * 1000 # 转换为毫秒
|
||||
conn_info.connection_health = 'good' if conn_info.latency < 100 else 'poor'
|
||||
|
||||
# 更新频道用户数
|
||||
guild = self.bot.get_guild(guild_id)
|
||||
if guild:
|
||||
channel = guild.get_channel(conn_info.channel_id)
|
||||
if channel and isinstance(channel, discord.VoiceChannel):
|
||||
conn_info.user_count = len(channel.members)
|
||||
|
||||
return conn_info.to_dict()
|
||||
|
||||
async def list_active_connections(self) -> typing.List[dict]:
|
||||
"""
|
||||
列出所有活跃连接
|
||||
|
||||
@author: @ydzat
|
||||
|
||||
Returns:
|
||||
List[dict]: 活跃连接列表
|
||||
"""
|
||||
active_connections = []
|
||||
|
||||
for guild_id, conn_info in self.connections.items():
|
||||
if conn_info.connected:
|
||||
status = await self.get_connection_status(guild_id)
|
||||
if status:
|
||||
active_connections.append(status)
|
||||
|
||||
return active_connections
|
||||
|
||||
async def get_voice_channel_info(self, guild_id: int, channel_id: int) -> typing.Optional[dict]:
|
||||
"""
|
||||
获取语音频道信息
|
||||
|
||||
@author: @ydzat
|
||||
|
||||
Args:
|
||||
guild_id (int): 服务器ID
|
||||
channel_id (int): 频道ID
|
||||
|
||||
Returns:
|
||||
Optional[dict]: 频道信息字典或 None
|
||||
"""
|
||||
guild = self.bot.get_guild(guild_id)
|
||||
if not guild:
|
||||
return None
|
||||
|
||||
channel = guild.get_channel(channel_id)
|
||||
if not channel or not isinstance(channel, discord.VoiceChannel):
|
||||
return None
|
||||
|
||||
# 获取用户信息
|
||||
users = []
|
||||
for member in channel.members:
|
||||
users.append(
|
||||
{'id': member.id, 'name': member.display_name, 'status': str(member.status), 'is_bot': member.bot}
|
||||
)
|
||||
|
||||
# 获取权限信息
|
||||
bot_member = guild.me
|
||||
permissions = channel.permissions_for(bot_member)
|
||||
|
||||
return {
|
||||
'channel_id': channel_id,
|
||||
'channel_name': channel.name,
|
||||
'guild_id': guild_id,
|
||||
'guild_name': guild.name,
|
||||
'user_limit': channel.user_limit,
|
||||
'current_users': users,
|
||||
'user_count': len(users),
|
||||
'bitrate': channel.bitrate,
|
||||
'permissions': {
|
||||
'connect': permissions.connect,
|
||||
'speak': permissions.speak,
|
||||
'use_voice_activation': permissions.use_voice_activation,
|
||||
'priority_speaker': permissions.priority_speaker,
|
||||
},
|
||||
}
|
||||
|
||||
async def _validate_user_in_channel(self, guild: discord.Guild, channel: discord.VoiceChannel, user_id: int):
|
||||
"""
|
||||
验证用户是否在语音频道中
|
||||
|
||||
@author: @ydzat
|
||||
|
||||
Args:
|
||||
guild: Discord 服务器对象
|
||||
channel: 语音频道对象
|
||||
user_id: 用户ID
|
||||
|
||||
Raises:
|
||||
VoicePermissionError: 用户不在频道中时抛出
|
||||
"""
|
||||
member = guild.get_member(user_id)
|
||||
if not member:
|
||||
raise VoicePermissionError(f'无法找到用户 {user_id}', ['member_not_found'], user_id, channel.id)
|
||||
|
||||
if not member.voice or member.voice.channel != channel:
|
||||
raise VoicePermissionError(
|
||||
f'用户 {member.display_name} 不在语音频道 {channel.name} 中',
|
||||
['user_not_in_channel'],
|
||||
user_id,
|
||||
channel.id,
|
||||
)
|
||||
|
||||
async def _validate_bot_permissions(self, channel: discord.VoiceChannel):
|
||||
"""
|
||||
验证机器人权限
|
||||
|
||||
@author: @ydzat
|
||||
|
||||
Args:
|
||||
channel: 语音频道对象
|
||||
|
||||
Raises:
|
||||
VoicePermissionError: 权限不足时抛出
|
||||
"""
|
||||
bot_member = channel.guild.me
|
||||
permissions = channel.permissions_for(bot_member)
|
||||
|
||||
missing_permissions = []
|
||||
|
||||
if not permissions.connect:
|
||||
missing_permissions.append('connect')
|
||||
if not permissions.speak:
|
||||
missing_permissions.append('speak')
|
||||
|
||||
if missing_permissions:
|
||||
raise VoicePermissionError(
|
||||
f'机器人在频道 {channel.name} 中缺少权限: {", ".join(missing_permissions)}',
|
||||
missing_permissions,
|
||||
channel_id=channel.id,
|
||||
)
|
||||
|
||||
async def cleanup_inactive_connections(self):
|
||||
"""
|
||||
清理无效连接
|
||||
|
||||
定期检查并清理已断开或无效的语音连接，释放资源。
|
||||
|
||||
@author: @ydzat
|
||||
"""
|
||||
cleanup_guilds = []
|
||||
|
||||
for guild_id, conn_info in self.connections.items():
|
||||
if not conn_info.voice_client or not conn_info.voice_client.is_connected():
|
||||
cleanup_guilds.append(guild_id)
|
||||
|
||||
for guild_id in cleanup_guilds:
|
||||
await self._disconnect_internal(guild_id)
|
||||
|
||||
if cleanup_guilds:
|
||||
await self.logger.info(f'清理了 {len(cleanup_guilds)} 个无效的语音连接')
|
||||
|
||||
async def start_monitoring(self):
|
||||
"""
|
||||
开始连接监控
|
||||
|
||||
@author: @ydzat
|
||||
"""
|
||||
if self._cleanup_task is None and self._monitoring_enabled:
|
||||
self._cleanup_task = asyncio.create_task(self._monitoring_loop())
|
||||
|
||||
async def stop_monitoring(self):
|
||||
"""
|
||||
停止连接监控
|
||||
|
||||
@author: @ydzat
|
||||
"""
|
||||
self._monitoring_enabled = False
|
||||
if self._cleanup_task:
|
||||
self._cleanup_task.cancel()
|
||||
try:
|
||||
await self._cleanup_task
|
||||
except asyncio.CancelledError:
|
||||
pass
|
||||
self._cleanup_task = None
|
||||
|
||||
async def _monitoring_loop(self):
|
||||
"""
|
||||
监控循环
|
||||
|
||||
@author: @ydzat
|
||||
"""
|
||||
try:
|
||||
while self._monitoring_enabled:
|
||||
await asyncio.sleep(60) # 每分钟检查一次
|
||||
await self.cleanup_inactive_connections()
|
||||
except asyncio.CancelledError:
|
||||
pass
|
||||
|
||||
async def disconnect_all(self):
|
||||
"""
|
||||
断开所有连接
|
||||
|
||||
@author: @ydzat
|
||||
"""
|
||||
async with self._connection_lock:
|
||||
guild_ids = list(self.connections.keys())
|
||||
for guild_id in guild_ids:
|
||||
await self._disconnect_internal(guild_id)
|
||||
|
||||
await self.stop_monitoring()
|
||||
|
||||
|
||||
class DiscordMessageConverter(abstract_platform_adapter.AbstractMessageConverter):
|
||||
@@ -35,28 +599,89 @@ class DiscordMessageConverter(abstract_platform_adapter.AbstractMessageConverter
|
||||
for ele in message_chain:
|
||||
if isinstance(ele, platform_message.Image):
|
||||
image_bytes = None
|
||||
filename = f'{uuid.uuid4()}.png' # 默认文件名
|
||||
|
||||
if ele.base64:
|
||||
image_bytes = base64.b64decode(ele.base64)
|
||||
# 处理base64编码的图片
|
||||
if ele.base64.startswith('data:'):
|
||||
# 从data URL中提取文件类型
|
||||
data_header = ele.base64.split(',')[0]
|
||||
if 'jpeg' in data_header or 'jpg' in data_header:
|
||||
filename = f'{uuid.uuid4()}.jpg'
|
||||
elif 'gif' in data_header:
|
||||
filename = f'{uuid.uuid4()}.gif'
|
||||
elif 'webp' in data_header:
|
||||
filename = f'{uuid.uuid4()}.webp'
|
||||
# 去掉data:image/xxx;base64,前缀
|
||||
base64_data = ele.base64.split(',')[1]
|
||||
else:
|
||||
base64_data = ele.base64
|
||||
image_bytes = base64.b64decode(base64_data)
|
||||
elif ele.url:
|
||||
# 从URL下载图片
|
||||
async with aiohttp.ClientSession() as session:
|
||||
async with session.get(ele.url) as response:
|
||||
image_bytes = await response.read()
|
||||
# 从URL或Content-Type推断文件类型
|
||||
content_type = response.headers.get('Content-Type', '')
|
||||
if 'jpeg' in content_type or 'jpg' in content_type:
|
||||
filename = f'{uuid.uuid4()}.jpg'
|
||||
elif 'gif' in content_type:
|
||||
filename = f'{uuid.uuid4()}.gif'
|
||||
elif 'webp' in content_type:
|
||||
filename = f'{uuid.uuid4()}.webp'
|
||||
elif ele.url.lower().endswith(('.jpg', '.jpeg')):
|
||||
filename = f'{uuid.uuid4()}.jpg'
|
||||
elif ele.url.lower().endswith('.gif'):
|
||||
filename = f'{uuid.uuid4()}.gif'
|
||||
elif ele.url.lower().endswith('.webp'):
|
||||
filename = f'{uuid.uuid4()}.webp'
|
||||
elif ele.path:
|
||||
with open(ele.path, 'rb') as f:
|
||||
image_bytes = f.read()
|
||||
# 从文件路径读取图片
|
||||
# 确保路径没有空字节
|
||||
clean_path = ele.path.replace('\x00', '')
|
||||
clean_path = os.path.abspath(clean_path)
|
||||
|
||||
image_files.append(discord.File(fp=image_bytes, filename=f'{uuid.uuid4()}.png'))
|
||||
if not os.path.exists(clean_path):
|
||||
continue # 跳过不存在的文件
|
||||
|
||||
try:
|
||||
with open(clean_path, 'rb') as f:
|
||||
image_bytes = f.read()
|
||||
# 从文件路径获取文件名，保持原始扩展名
|
||||
original_filename = os.path.basename(clean_path)
|
||||
if original_filename and '.' in original_filename:
|
||||
# 保持原始文件名的扩展名
|
||||
ext = original_filename.split('.')[-1].lower()
|
||||
filename = f'{uuid.uuid4()}.{ext}'
|
||||
else:
|
||||
# 如果没有扩展名，尝试从文件内容检测
|
||||
if image_bytes.startswith(b'\xff\xd8\xff'):
|
||||
filename = f'{uuid.uuid4()}.jpg'
|
||||
elif image_bytes.startswith(b'GIF'):
|
||||
filename = f'{uuid.uuid4()}.gif'
|
||||
elif image_bytes.startswith(b'RIFF') and b'WEBP' in image_bytes[:20]:
|
||||
filename = f'{uuid.uuid4()}.webp'
|
||||
# 默认保持PNG
|
||||
except Exception as e:
|
||||
print(f'Error reading image file {clean_path}: {e}')
|
||||
continue # 跳过读取失败的文件
|
||||
|
||||
if image_bytes:
|
||||
# 使用BytesIO创建文件对象，避免路径问题
|
||||
import io
|
||||
|
||||
image_files.append(discord.File(fp=io.BytesIO(image_bytes), filename=filename))
|
||||
elif isinstance(ele, platform_message.Plain):
|
||||
text_string += ele.text
|
||||
elif isinstance(ele, platform_message.Forward):
|
||||
for node in ele.node_list:
|
||||
(
|
||||
text_string,
|
||||
image_files,
|
||||
node_text,
|
||||
node_images,
|
||||
) = await DiscordMessageConverter.yiri2target(node.message_chain)
|
||||
text_string += text_string
|
||||
image_files.extend(image_files)
|
||||
text_string += node_text
|
||||
image_files.extend(node_images)
|
||||
|
||||
return text_string, image_files
|
||||
|
||||
@@ -165,11 +790,16 @@ class DiscordAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
|
||||
typing.Callable[[platform_events.Event, abstract_platform_adapter.AbstractMessagePlatformAdapter], None],
|
||||
] = {}
|
||||
|
||||
def __init__(self, config: dict, logger: abstract_platform_logger.AbstractEventLogger):
|
||||
voice_manager: VoiceConnectionManager | None = pydantic.Field(exclude=True, default=None)
|
||||
|
||||
def __init__(self, config: dict, logger: abstract_platform_logger.AbstractEventLogger, **kwargs):
|
||||
bot_account_id = config['client_id']
|
||||
|
||||
listeners = {}
|
||||
|
||||
# 初始化语音连接管理器
|
||||
# self.voice_manager: VoiceConnectionManager = None
|
||||
|
||||
adapter_self = self
|
||||
|
||||
class MyClient(discord.Client):
|
||||
@@ -196,10 +826,194 @@ class DiscordAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
|
||||
bot_account_id=bot_account_id,
|
||||
listeners=listeners,
|
||||
bot=bot,
|
||||
voice_manager=None,
|
||||
**kwargs,
|
||||
)
|
||||
|
||||
# Voice functionality methods
|
||||
async def join_voice_channel(self, guild_id: int, channel_id: int, user_id: int = None) -> discord.VoiceClient:
|
||||
"""
|
||||
加入语音频道
|
||||
|
||||
为指定服务器的语音频道建立连接，支持用户权限验证和连接复用。
|
||||
|
||||
@author: @ydzat
|
||||
@version: 1.0
|
||||
@since: 2025-07-04
|
||||
|
||||
Args:
|
||||
guild_id (int): Discord 服务器ID
|
||||
channel_id (int): 语音频道ID
|
||||
user_id (int, optional): 请求用户ID，用于权限验证
|
||||
|
||||
Returns:
|
||||
discord.VoiceClient: 语音客户端实例
|
||||
|
||||
Raises:
|
||||
VoicePermissionError: 权限不足
|
||||
VoiceNetworkError: 网络连接失败
|
||||
VoiceConnectionError: 其他连接错误
|
||||
"""
|
||||
if not self.voice_manager:
|
||||
raise VoiceConnectionError('语音管理器未初始化', 'MANAGER_NOT_READY')
|
||||
|
||||
return await self.voice_manager.join_voice_channel(guild_id, channel_id, user_id)
|
||||
|
||||
async def leave_voice_channel(self, guild_id: int) -> bool:
|
||||
"""
|
||||
离开语音频道
|
||||
|
||||
断开指定服务器的语音连接，清理相关资源。
|
||||
|
||||
@author: @ydzat
|
||||
@version: 1.0
|
||||
@since: 2025-07-04
|
||||
|
||||
Args:
|
||||
guild_id (int): Discord 服务器ID
|
||||
|
||||
Returns:
|
||||
bool: 是否成功断开连接
|
||||
"""
|
||||
if not self.voice_manager:
|
||||
return False
|
||||
|
||||
return await self.voice_manager.leave_voice_channel(guild_id)
|
||||
|
||||
async def get_voice_client(self, guild_id: int) -> typing.Optional[discord.VoiceClient]:
|
||||
"""
|
||||
获取语音客户端
|
||||
|
||||
返回指定服务器的语音客户端实例，用于音频播放控制。
|
||||
|
||||
@author: @ydzat
|
||||
@version: 1.0
|
||||
@since: 2025-07-04
|
||||
|
||||
Args:
|
||||
guild_id (int): Discord 服务器ID
|
||||
|
||||
Returns:
|
||||
Optional[discord.VoiceClient]: 语音客户端实例或 None
|
||||
"""
|
||||
if not self.voice_manager:
|
||||
return None
|
||||
|
||||
return await self.voice_manager.get_voice_client(guild_id)
|
||||
|
||||
async def is_connected_to_voice(self, guild_id: int) -> bool:
|
||||
"""
|
||||
检查语音连接状态
|
||||
|
||||
@author: @ydzat
|
||||
@version: 1.0
|
||||
@since: 2025-07-04
|
||||
|
||||
Args:
|
||||
guild_id (int): Discord 服务器ID
|
||||
|
||||
Returns:
|
||||
bool: 是否已连接到语音频道
|
||||
"""
|
||||
if not self.voice_manager:
|
||||
return False
|
||||
|
||||
return await self.voice_manager.is_connected_to_voice(guild_id)
|
||||
|
||||
async def get_voice_connection_status(self, guild_id: int) -> typing.Optional[dict]:
|
||||
"""
|
||||
获取语音连接详细状态
|
||||
|
||||
返回包含连接时间、延迟、用户数等详细信息的状态字典。
|
||||
|
||||
@author: @ydzat
|
||||
@version: 1.0
|
||||
@since: 2025-07-04
|
||||
|
||||
Args:
|
||||
guild_id (int): Discord 服务器ID
|
||||
|
||||
Returns:
|
||||
Optional[dict]: 连接状态信息或 None
|
||||
"""
|
||||
if not self.voice_manager:
|
||||
return None
|
||||
|
||||
return await self.voice_manager.get_connection_status(guild_id)
|
||||
|
||||
async def list_active_voice_connections(self) -> typing.List[dict]:
|
||||
"""
|
||||
列出所有活跃的语音连接
|
||||
|
||||
@author: @ydzat
|
||||
@version: 1.0
|
||||
@since: 2025-07-04
|
||||
|
||||
Returns:
|
||||
List[dict]: 活跃语音连接列表
|
||||
"""
|
||||
if not self.voice_manager:
|
||||
return []
|
||||
|
||||
return await self.voice_manager.list_active_connections()
|
||||
|
||||
async def get_voice_channel_info(self, guild_id: int, channel_id: int) -> typing.Optional[dict]:
|
||||
"""
|
||||
获取语音频道详细信息
|
||||
|
||||
包括频道名称、用户列表、权限信息等。
|
||||
|
||||
@author: @ydzat
|
||||
@version: 1.0
|
||||
@since: 2025-07-04
|
||||
|
||||
Args:
|
||||
guild_id (int): Discord 服务器ID
|
||||
channel_id (int): 语音频道ID
|
||||
|
||||
Returns:
|
||||
Optional[dict]: 频道信息字典或 None
|
||||
"""
|
||||
if not self.voice_manager:
|
||||
return None
|
||||
|
||||
return await self.voice_manager.get_voice_channel_info(guild_id, channel_id)
|
||||
|
||||
async def cleanup_voice_connections(self):
|
||||
"""
|
||||
清理无效的语音连接
|
||||
|
||||
手动触发语音连接清理，移除已断开或无效的连接。
|
||||
|
||||
@author: @ydzat
|
||||
@version: 1.0
|
||||
@since: 2025-07-04
|
||||
"""
|
||||
if self.voice_manager:
|
||||
await self.voice_manager.cleanup_inactive_connections()
|
||||
|
||||
async def send_message(self, target_type: str, target_id: str, message: platform_message.MessageChain):
|
||||
pass
|
||||
msg_to_send, image_files = await self.message_converter.yiri2target(message)
|
||||
|
||||
try:
|
||||
# 获取频道对象
|
||||
channel = self.bot.get_channel(int(target_id))
|
||||
if channel is None:
|
||||
# 如果本地缓存中没有，尝试从API获取
|
||||
channel = await self.bot.fetch_channel(int(target_id))
|
||||
|
||||
args = {
|
||||
'content': msg_to_send,
|
||||
}
|
||||
|
||||
if len(image_files) > 0:
|
||||
args['files'] = image_files
|
||||
|
||||
await channel.send(**args)
|
||||
|
||||
except Exception as e:
|
||||
await self.logger.error(f'Discord send_message failed: {e}')
|
||||
raise e
|
||||
|
||||
async def reply_message(
|
||||
self,
|
||||
@@ -247,9 +1061,31 @@ class DiscordAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
|
||||
self.listeners.pop(event_type)
|
||||
|
||||
async def run_async(self):
|
||||
"""
|
||||
启动 Discord 适配器
|
||||
|
||||
初始化语音管理器并启动 Discord 客户端连接。
|
||||
|
||||
@author: @ydzat (修改)
|
||||
"""
|
||||
async with self.bot:
|
||||
# 初始化语音管理器
|
||||
self.voice_manager = VoiceConnectionManager(self.bot, self.logger)
|
||||
await self.voice_manager.start_monitoring()
|
||||
|
||||
await self.logger.info('Discord 适配器语音功能已启用')
|
||||
await self.bot.start(self.config['token'], reconnect=True)
|
||||
|
||||
async def kill(self) -> bool:
|
||||
"""
|
||||
关闭 Discord 适配器
|
||||
|
||||
清理语音连接并关闭 Discord 客户端。
|
||||
|
||||
@author: @ydzat (修改)
|
||||
"""
|
||||
if self.voice_manager:
|
||||
await self.voice_manager.disconnect_all()
|
||||
|
||||
await self.bot.close()
|
||||
return True
|
||||
|
||||
@@ -18,6 +18,7 @@ import lark_oapi.ws.exception
|
||||
import quart
|
||||
from lark_oapi.api.im.v1 import *
|
||||
import pydantic
|
||||
from lark_oapi.api.cardkit.v1 import *
|
||||
|
||||
import langbot_plugin.api.definition.abstract.platform.adapter as abstract_platform_adapter
|
||||
import langbot_plugin.api.entities.builtin.platform.message as platform_message
|
||||
@@ -320,10 +321,17 @@ class LarkEventConverter(abstract_platform_adapter.AbstractEventConverter):
|
||||
)
|
||||
|
||||
|
||||
CARD_ID_CACHE_SIZE = 500
|
||||
CARD_ID_CACHE_MAX_LIFETIME = 20 * 60 # 20分钟
|
||||
|
||||
|
||||
class LarkAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
|
||||
bot: lark_oapi.ws.Client = pydantic.Field(exclude=True)
|
||||
api_client: lark_oapi.Client = pydantic.Field(exclude=True)
|
||||
|
||||
bot_account_id: str # 用于在流水线中识别at是否是本bot，直接以bot_name作为标识
|
||||
lark_tenant_key: str = pydantic.Field(exclude=True, default='') # 飞书企业key
|
||||
|
||||
message_converter: LarkMessageConverter = LarkMessageConverter()
|
||||
event_converter: LarkEventConverter = LarkEventConverter()
|
||||
|
||||
@@ -334,7 +342,11 @@ class LarkAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
|
||||
|
||||
quart_app: quart.Quart = pydantic.Field(exclude=True)
|
||||
|
||||
def __init__(self, config: dict, logger: abstract_platform_logger.AbstractEventLogger):
|
||||
card_id_dict: dict[str, str] # 消息id到卡片id的映射，便于创建卡片后的发送消息到指定卡片
|
||||
|
||||
seq: int # 用于在发送卡片消息中识别消息顺序，直接以seq作为标识
|
||||
|
||||
def __init__(self, config: dict, logger: abstract_platform_logger.AbstractEventLogger, **kwargs):
|
||||
quart_app = quart.Quart(__name__)
|
||||
|
||||
@quart_app.route('/lark/callback', methods=['POST'])
|
||||
@@ -343,7 +355,7 @@ class LarkAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
|
||||
data = await quart.request.json
|
||||
|
||||
if 'encrypt' in data:
|
||||
cipher = AESCipher(self.config['encrypt-key'])
|
||||
cipher = AESCipher(config['encrypt-key'])
|
||||
data = cipher.decrypt_string(data['encrypt'])
|
||||
data = json.loads(data)
|
||||
|
||||
@@ -398,16 +410,256 @@ class LarkAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
|
||||
super().__init__(
|
||||
config=config,
|
||||
logger=logger,
|
||||
lark_tenant_key=config.get('lark_tenant_key', ''),
|
||||
card_id_dict={},
|
||||
seq=1,
|
||||
listeners={},
|
||||
quart_app=quart_app,
|
||||
bot=bot,
|
||||
api_client=api_client,
|
||||
bot_account_id=bot_account_id,
|
||||
**kwargs,
|
||||
)
|
||||
|
||||
async def send_message(self, target_type: str, target_id: str, message: platform_message.MessageChain):
|
||||
pass
|
||||
|
||||
async def is_stream_output_supported(self) -> bool:
|
||||
is_stream = False
|
||||
if self.config.get('enable-stream-reply', None):
|
||||
is_stream = True
|
||||
return is_stream
|
||||
|
||||
async def create_card_id(self, message_id):
|
||||
try:
|
||||
# self.logger.debug('飞书支持stream输出,创建卡片......')
|
||||
|
||||
card_data = {
|
||||
'schema': '2.0',
|
||||
'config': {
|
||||
'update_multi': True,
|
||||
'streaming_mode': True,
|
||||
'streaming_config': {
|
||||
'print_step': {'default': 1},
|
||||
'print_frequency_ms': {'default': 70},
|
||||
'print_strategy': 'fast',
|
||||
},
|
||||
},
|
||||
'body': {
|
||||
'direction': 'vertical',
|
||||
'padding': '12px 12px 12px 12px',
|
||||
'elements': [
|
||||
{
|
||||
'tag': 'div',
|
||||
'text': {
|
||||
'tag': 'plain_text',
|
||||
'content': 'LangBot',
|
||||
'text_size': 'normal',
|
||||
'text_align': 'left',
|
||||
'text_color': 'default',
|
||||
},
|
||||
'icon': {
|
||||
'tag': 'custom_icon',
|
||||
'img_key': 'img_v3_02p3_05c65d5d-9bad-440a-a2fb-c89571bfd5bg',
|
||||
},
|
||||
},
|
||||
{
|
||||
'tag': 'markdown',
|
||||
'content': '',
|
||||
'text_align': 'left',
|
||||
'text_size': 'normal',
|
||||
'margin': '0px 0px 0px 0px',
|
||||
'element_id': 'streaming_txt',
|
||||
},
|
||||
{
|
||||
'tag': 'markdown',
|
||||
'content': '',
|
||||
'text_align': 'left',
|
||||
'text_size': 'normal',
|
||||
'margin': '0px 0px 0px 0px',
|
||||
},
|
||||
{
|
||||
'tag': 'column_set',
|
||||
'horizontal_spacing': '8px',
|
||||
'horizontal_align': 'left',
|
||||
'columns': [
|
||||
{
|
||||
'tag': 'column',
|
||||
'width': 'weighted',
|
||||
'elements': [
|
||||
{
|
||||
'tag': 'markdown',
|
||||
'content': '',
|
||||
'text_align': 'left',
|
||||
'text_size': 'normal',
|
||||
'margin': '0px 0px 0px 0px',
|
||||
},
|
||||
{
|
||||
'tag': 'markdown',
|
||||
'content': '',
|
||||
'text_align': 'left',
|
||||
'text_size': 'normal',
|
||||
'margin': '0px 0px 0px 0px',
|
||||
},
|
||||
{
|
||||
'tag': 'markdown',
|
||||
'content': '',
|
||||
'text_align': 'left',
|
||||
'text_size': 'normal',
|
||||
'margin': '0px 0px 0px 0px',
|
||||
},
|
||||
],
|
||||
'padding': '0px 0px 0px 0px',
|
||||
'direction': 'vertical',
|
||||
'horizontal_spacing': '8px',
|
||||
'vertical_spacing': '2px',
|
||||
'horizontal_align': 'left',
|
||||
'vertical_align': 'top',
|
||||
'margin': '0px 0px 0px 0px',
|
||||
'weight': 1,
|
||||
}
|
||||
],
|
||||
'margin': '0px 0px 0px 0px',
|
||||
},
|
||||
{'tag': 'hr', 'margin': '0px 0px 0px 0px'},
|
||||
{
|
||||
'tag': 'column_set',
|
||||
'horizontal_spacing': '12px',
|
||||
'horizontal_align': 'right',
|
||||
'columns': [
|
||||
{
|
||||
'tag': 'column',
|
||||
'width': 'weighted',
|
||||
'elements': [
|
||||
{
|
||||
'tag': 'markdown',
|
||||
'content': '<font color="grey-600">以上内容由 AI 生成，仅供参考。更多详细、准确信息可点击引用链接查看</font>',
|
||||
'text_align': 'left',
|
||||
'text_size': 'notation',
|
||||
'margin': '4px 0px 0px 0px',
|
||||
'icon': {
|
||||
'tag': 'standard_icon',
|
||||
'token': 'robot_outlined',
|
||||
'color': 'grey',
|
||||
},
|
||||
}
|
||||
],
|
||||
'padding': '0px 0px 0px 0px',
|
||||
'direction': 'vertical',
|
||||
'horizontal_spacing': '8px',
|
||||
'vertical_spacing': '8px',
|
||||
'horizontal_align': 'left',
|
||||
'vertical_align': 'top',
|
||||
'margin': '0px 0px 0px 0px',
|
||||
'weight': 1,
|
||||
},
|
||||
{
|
||||
'tag': 'column',
|
||||
'width': '20px',
|
||||
'elements': [
|
||||
{
|
||||
'tag': 'button',
|
||||
'text': {'tag': 'plain_text', 'content': ''},
|
||||
'type': 'text',
|
||||
'width': 'fill',
|
||||
'size': 'medium',
|
||||
'icon': {'tag': 'standard_icon', 'token': 'thumbsup_outlined'},
|
||||
'hover_tips': {'tag': 'plain_text', 'content': '有帮助'},
|
||||
'margin': '0px 0px 0px 0px',
|
||||
}
|
||||
],
|
||||
'padding': '0px 0px 0px 0px',
|
||||
'direction': 'vertical',
|
||||
'horizontal_spacing': '8px',
|
||||
'vertical_spacing': '8px',
|
||||
'horizontal_align': 'left',
|
||||
'vertical_align': 'top',
|
||||
'margin': '0px 0px 0px 0px',
|
||||
},
|
||||
{
|
||||
'tag': 'column',
|
||||
'width': '30px',
|
||||
'elements': [
|
||||
{
|
||||
'tag': 'button',
|
||||
'text': {'tag': 'plain_text', 'content': ''},
|
||||
'type': 'text',
|
||||
'width': 'default',
|
||||
'size': 'medium',
|
||||
'icon': {'tag': 'standard_icon', 'token': 'thumbdown_outlined'},
|
||||
'hover_tips': {'tag': 'plain_text', 'content': '无帮助'},
|
||||
'margin': '0px 0px 0px 0px',
|
||||
}
|
||||
],
|
||||
'padding': '0px 0px 0px 0px',
|
||||
'vertical_spacing': '8px',
|
||||
'horizontal_align': 'left',
|
||||
'vertical_align': 'top',
|
||||
'margin': '0px 0px 0px 0px',
|
||||
},
|
||||
],
|
||||
'margin': '0px 0px 4px 0px',
|
||||
},
|
||||
],
|
||||
},
|
||||
}
|
||||
# delay / fast 创建卡片模板，delay 延迟打印，fast 实时打印，可以自定义更好看的消息模板
|
||||
|
||||
request: CreateCardRequest = (
|
||||
CreateCardRequest.builder()
|
||||
.request_body(CreateCardRequestBody.builder().type('card_json').data(json.dumps(card_data)).build())
|
||||
.build()
|
||||
)
|
||||
|
||||
# 发起请求
|
||||
response: CreateCardResponse = self.api_client.cardkit.v1.card.create(request)
|
||||
|
||||
# 处理失败返回
|
||||
if not response.success():
|
||||
raise Exception(
|
||||
f'client.cardkit.v1.card.create failed, code: {response.code}, msg: {response.msg}, log_id: {response.get_log_id()}, resp: \n{json.dumps(json.loads(response.raw.content), indent=4, ensure_ascii=False)}'
|
||||
)
|
||||
|
||||
self.ap.logger.debug(f'飞书卡片创建成功,卡片ID: {response.data.card_id}')
|
||||
self.card_id_dict[message_id] = response.data.card_id
|
||||
|
||||
card_id = response.data.card_id
|
||||
return card_id
|
||||
|
||||
except Exception as e:
|
||||
self.ap.logger.error(f'飞书卡片创建失败,错误信息: {e}')
|
||||
|
||||
async def create_message_card(self, message_id, event) -> str:
|
||||
"""
|
||||
创建卡片消息。
|
||||
使用卡片消息是因为普通消息更新次数有限制，而大模型流式返回结果可能很多而超过限制，而飞书卡片没有这个限制（api免费次数有限）
|
||||
"""
|
||||
# message_id = event.message_chain.message_id
|
||||
|
||||
card_id = await self.create_card_id(message_id)
|
||||
content = {
|
||||
'type': 'card',
|
||||
'data': {'card_id': card_id, 'template_variable': {'content': 'Thinking...'}},
|
||||
} # 当收到消息时发送消息模板，可添加模板变量，详情查看飞书中接口文档
|
||||
request: ReplyMessageRequest = (
|
||||
ReplyMessageRequest.builder()
|
||||
.message_id(event.message_chain.message_id)
|
||||
.request_body(
|
||||
ReplyMessageRequestBody.builder().content(json.dumps(content)).msg_type('interactive').build()
|
||||
)
|
||||
.build()
|
||||
)
|
||||
|
||||
# 发起请求
|
||||
response: ReplyMessageResponse = await self.api_client.im.v1.message.areply(request)
|
||||
|
||||
# 处理失败返回
|
||||
if not response.success():
|
||||
raise Exception(
|
||||
f'client.im.v1.message.reply failed, code: {response.code}, msg: {response.msg}, log_id: {response.get_log_id()}, resp: \n{json.dumps(json.loads(response.raw.content), indent=4, ensure_ascii=False)}'
|
||||
)
|
||||
return True
|
||||
|
||||
async def reply_message(
|
||||
self,
|
||||
message_source: platform_events.MessageEvent,
|
||||
@@ -446,6 +698,62 @@ class LarkAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
|
||||
f'client.im.v1.message.reply failed, code: {response.code}, msg: {response.msg}, log_id: {response.get_log_id()}, resp: \n{json.dumps(json.loads(response.raw.content), indent=4, ensure_ascii=False)}'
|
||||
)
|
||||
|
||||
async def reply_message_chunk(
|
||||
self,
|
||||
message_source: platform_events.MessageEvent,
|
||||
bot_message,
|
||||
message: platform_message.MessageChain,
|
||||
quote_origin: bool = False,
|
||||
is_final: bool = False,
|
||||
):
|
||||
"""
|
||||
回复消息变成更新卡片消息
|
||||
"""
|
||||
# self.seq += 1
|
||||
message_id = bot_message.resp_message_id
|
||||
msg_seq = bot_message.msg_sequence
|
||||
if msg_seq % 8 == 0 or is_final:
|
||||
lark_message = await self.message_converter.yiri2target(message, self.api_client)
|
||||
|
||||
text_message = ''
|
||||
for ele in lark_message[0]:
|
||||
if ele['tag'] == 'text':
|
||||
text_message += ele['text']
|
||||
elif ele['tag'] == 'md':
|
||||
text_message += ele['text']
|
||||
|
||||
# content = {
|
||||
# 'type': 'card_json',
|
||||
# 'data': {'card_id': self.card_id_dict[message_id], 'elements': {'content': text_message}},
|
||||
# }
|
||||
|
||||
request: ContentCardElementRequest = (
|
||||
ContentCardElementRequest.builder()
|
||||
.card_id(self.card_id_dict[message_id])
|
||||
.element_id('streaming_txt')
|
||||
.request_body(
|
||||
ContentCardElementRequestBody.builder()
|
||||
# .uuid("a0d69e20-1dd1-458b-k525-dfeca4015204")
|
||||
.content(text_message)
|
||||
.sequence(msg_seq)
|
||||
.build()
|
||||
)
|
||||
.build()
|
||||
)
|
||||
|
||||
if is_final and bot_message.tool_calls is None:
|
||||
# self.seq = 1 # 消息回复结束之后重置seq
|
||||
self.card_id_dict.pop(message_id) # 清理已经使用过的卡片
|
||||
# 发起请求
|
||||
response: ContentCardElementResponse = self.api_client.cardkit.v1.card_element.content(request)
|
||||
|
||||
# 处理失败返回
|
||||
if not response.success():
|
||||
raise Exception(
|
||||
f'client.im.v1.message.patch failed, code: {response.code}, msg: {response.msg}, log_id: {response.get_log_id()}, resp: \n{json.dumps(json.loads(response.raw.content), indent=4, ensure_ascii=False)}'
|
||||
)
|
||||
return
|
||||
|
||||
async def is_muted(self, group_id: int) -> bool:
|
||||
return False
|
||||
|
||||
@@ -495,4 +803,9 @@ class LarkAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
|
||||
)
|
||||
|
||||
async def kill(self) -> bool:
|
||||
# 需要断开连接，不然旧的连接会继续运行，导致飞书消息来时会随机选择一个连接
|
||||
# 断开时lark.ws.Client的_receive_message_loop会打印error日志: receive message loop exit。然后进行重连，
|
||||
# 所以要设置_auto_reconnect=False,让其不重连。
|
||||
self.bot._auto_reconnect = False
|
||||
await self.bot._disconnect()
|
||||
return False
|
||||
|
||||
@@ -65,6 +65,16 @@ spec:
|
||||
type: string
|
||||
required: true
|
||||
default: ""
|
||||
- name: enable-stream-reply
|
||||
label:
|
||||
en_US: Enable Stream Reply Mode
|
||||
zh_Hans: 启用飞书流式回复模式
|
||||
description:
|
||||
en_US: If enabled, the bot will use the stream of lark reply mode
|
||||
zh_Hans: 如果启用，将使用飞书流式方式来回复内容
|
||||
type: boolean
|
||||
required: true
|
||||
default: false
|
||||
execution:
|
||||
python:
|
||||
path: ./lark.py
|
||||
|
||||
@@ -1,5 +1,6 @@
|
||||
from __future__ import annotations
|
||||
|
||||
|
||||
import telegram
|
||||
import telegram.ext
|
||||
from telegram import Update
|
||||
@@ -136,6 +137,12 @@ class TelegramAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
|
||||
message_converter: TelegramMessageConverter = TelegramMessageConverter()
|
||||
event_converter: TelegramEventConverter = TelegramEventConverter()
|
||||
|
||||
config: dict
|
||||
|
||||
msg_stream_id: dict # 流式消息id字典，key为流式消息id，value为首次消息源id，用于在流式消息时判断编辑那条消息
|
||||
|
||||
seq: int # 消息中识别消息顺序，直接以seq作为标识
|
||||
|
||||
listeners: typing.Dict[
|
||||
typing.Type[platform_events.Event],
|
||||
typing.Callable[[platform_events.Event, abstract_platform_adapter.AbstractMessagePlatformAdapter], None],
|
||||
@@ -149,6 +156,7 @@ class TelegramAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
|
||||
try:
|
||||
lb_event = await self.event_converter.target2yiri(update, self.bot, self.bot_account_id)
|
||||
await self.listeners[type(lb_event)](lb_event, self)
|
||||
await self.is_stream_output_supported()
|
||||
except Exception:
|
||||
await self.logger.error(f'Error in telegram callback: {traceback.format_exc()}')
|
||||
|
||||
@@ -158,6 +166,8 @@ class TelegramAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
|
||||
super().__init__(
|
||||
config=config,
|
||||
logger=logger,
|
||||
msg_stream_id={},
|
||||
seq=1,
|
||||
bot=bot,
|
||||
application=application,
|
||||
bot_account_id='',
|
||||
@@ -195,6 +205,70 @@ class TelegramAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
|
||||
|
||||
await self.bot.send_message(**args)
|
||||
|
||||
async def reply_message_chunk(
|
||||
self,
|
||||
message_source: platform_events.MessageEvent,
|
||||
bot_message,
|
||||
message: platform_message.MessageChain,
|
||||
quote_origin: bool = False,
|
||||
is_final: bool = False,
|
||||
):
|
||||
msg_seq = bot_message.msg_sequence
|
||||
if (msg_seq - 1) % 8 == 0 or is_final:
|
||||
assert isinstance(message_source.source_platform_object, Update)
|
||||
components = await TelegramMessageConverter.yiri2target(message, self.bot)
|
||||
args = {}
|
||||
message_id = message_source.source_platform_object.message.id
|
||||
if quote_origin:
|
||||
args['reply_to_message_id'] = message_source.source_platform_object.message.id
|
||||
|
||||
component = components[0]
|
||||
if message_id not in self.msg_stream_id: # 当消息回复第一次时，发送新消息
|
||||
# time.sleep(0.6)
|
||||
if component['type'] == 'text':
|
||||
if self.config['markdown_card'] is True:
|
||||
content = telegramify_markdown.markdownify(
|
||||
content=component['text'],
|
||||
)
|
||||
else:
|
||||
content = component['text']
|
||||
args = {
|
||||
'chat_id': message_source.source_platform_object.effective_chat.id,
|
||||
'text': content,
|
||||
}
|
||||
if self.config['markdown_card'] is True:
|
||||
args['parse_mode'] = 'MarkdownV2'
|
||||
|
||||
send_msg = await self.bot.send_message(**args)
|
||||
send_msg_id = send_msg.message_id
|
||||
self.msg_stream_id[message_id] = send_msg_id
|
||||
else: # 存在消息的时候直接编辑消息1
|
||||
if component['type'] == 'text':
|
||||
if self.config['markdown_card'] is True:
|
||||
content = telegramify_markdown.markdownify(
|
||||
content=component['text'],
|
||||
)
|
||||
else:
|
||||
content = component['text']
|
||||
args = {
|
||||
'message_id': self.msg_stream_id[message_id],
|
||||
'chat_id': message_source.source_platform_object.effective_chat.id,
|
||||
'text': content,
|
||||
}
|
||||
if self.config['markdown_card'] is True:
|
||||
args['parse_mode'] = 'MarkdownV2'
|
||||
|
||||
await self.bot.edit_message_text(**args)
|
||||
if is_final and bot_message.tool_calls is None:
|
||||
# self.seq = 1 # 消息回复结束之后重置seq
|
||||
self.msg_stream_id.pop(message_id) # 消息回复结束之后删除流式消息id
|
||||
|
||||
async def is_stream_output_supported(self) -> bool:
|
||||
is_stream = False
|
||||
if self.config.get('enable-stream-reply', None):
|
||||
is_stream = True
|
||||
return is_stream
|
||||
|
||||
async def is_muted(self, group_id: int) -> bool:
|
||||
return False
|
||||
|
||||
@@ -221,8 +295,12 @@ class TelegramAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
|
||||
self.bot_account_id = (await self.bot.get_me()).username
|
||||
await self.application.updater.start_polling(allowed_updates=Update.ALL_TYPES)
|
||||
await self.application.start()
|
||||
await self.logger.info('Telegram adapter running')
|
||||
|
||||
async def kill(self) -> bool:
|
||||
if self.application.running:
|
||||
await self.application.stop()
|
||||
if self.application.updater:
|
||||
await self.application.updater.stop()
|
||||
await self.logger.info('Telegram adapter stopped')
|
||||
return True
|
||||
|
||||
@@ -25,6 +25,16 @@ spec:
|
||||
type: boolean
|
||||
required: false
|
||||
default: true
|
||||
- name: enable-stream-reply
|
||||
label:
|
||||
en_US: Enable Stream Reply Mode
|
||||
zh_Hans: 启用电报流式回复模式
|
||||
description:
|
||||
en_US: If enabled, the bot will use the stream of telegram reply mode
|
||||
zh_Hans: 如果启用，将使用电报流式方式来回复内容
|
||||
type: boolean
|
||||
required: true
|
||||
default: false
|
||||
execution:
|
||||
python:
|
||||
path: ./telegram.py
|
||||
|
||||
@@ -9,8 +9,8 @@ import langbot_plugin.api.definition.abstract.platform.adapter as abstract_platf
|
||||
import langbot_plugin.api.entities.builtin.platform.message as platform_message
|
||||
import langbot_plugin.api.entities.builtin.platform.events as platform_events
|
||||
import langbot_plugin.api.entities.builtin.platform.entities as platform_entities
|
||||
from ...core import app
|
||||
import langbot_plugin.api.definition.abstract.platform.event_logger as abstract_platform_logger
|
||||
from ...core import app
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
@@ -21,17 +21,20 @@ class WebChatMessage(pydantic.BaseModel):
|
||||
content: str
|
||||
message_chain: list[dict]
|
||||
timestamp: str
|
||||
is_final: bool = False
|
||||
|
||||
|
||||
class WebChatSession:
|
||||
id: str
|
||||
message_lists: dict[str, list[WebChatMessage]] = {}
|
||||
resp_waiters: dict[int, asyncio.Future[WebChatMessage]]
|
||||
resp_queues: dict[int, asyncio.Queue[WebChatMessage]]
|
||||
|
||||
def __init__(self, id: str):
|
||||
self.id = id
|
||||
self.message_lists = {}
|
||||
self.resp_waiters = {}
|
||||
self.resp_queues = {}
|
||||
|
||||
def get_message_list(self, pipeline_uuid: str) -> list[WebChatMessage]:
|
||||
if pipeline_uuid not in self.message_lists:
|
||||
@@ -46,20 +49,21 @@ class WebChatAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
|
||||
webchat_person_session: WebChatSession = pydantic.Field(exclude=True, default_factory=WebChatSession)
|
||||
webchat_group_session: WebChatSession = pydantic.Field(exclude=True, default_factory=WebChatSession)
|
||||
|
||||
ap: app.Application = pydantic.Field(exclude=True) # set by bot manager
|
||||
|
||||
listeners: dict[
|
||||
typing.Type[platform_events.Event],
|
||||
typing.Callable[[platform_events.Event, abstract_platform_adapter.AbstractMessagePlatformAdapter], None],
|
||||
] = pydantic.Field(default_factory=dict, exclude=True)
|
||||
|
||||
is_stream: bool = pydantic.Field(exclude=True)
|
||||
debug_messages: dict[str, list[dict]] = pydantic.Field(default_factory=dict, exclude=True)
|
||||
|
||||
def __init__(self, config: dict, logger: abstract_platform_logger.AbstractEventLogger, ap: app.Application):
|
||||
ap: app.Application = pydantic.Field(exclude=True)
|
||||
|
||||
def __init__(self, config: dict, logger: abstract_platform_logger.AbstractEventLogger, **kwargs):
|
||||
super().__init__(
|
||||
config=config,
|
||||
logger=logger,
|
||||
ap=ap,
|
||||
**kwargs,
|
||||
)
|
||||
|
||||
self.webchat_person_session = WebChatSession(id='webchatperson')
|
||||
@@ -112,12 +116,53 @@ class WebChatAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
|
||||
|
||||
# notify waiter
|
||||
if isinstance(message_source, platform_events.FriendMessage):
|
||||
self.webchat_person_session.resp_waiters[message_source.message_chain.message_id].set_result(message_data)
|
||||
await self.webchat_person_session.resp_queues[message_source.message_chain.message_id].put(message_data)
|
||||
elif isinstance(message_source, platform_events.GroupMessage):
|
||||
self.webchat_group_session.resp_waiters[message_source.message_chain.message_id].set_result(message_data)
|
||||
await self.webchat_group_session.resp_queues[message_source.message_chain.message_id].put(message_data)
|
||||
|
||||
return message_data.model_dump()
|
||||
|
||||
async def reply_message_chunk(
|
||||
self,
|
||||
message_source: platform_events.MessageEvent,
|
||||
bot_message,
|
||||
message: platform_message.MessageChain,
|
||||
quote_origin: bool = False,
|
||||
is_final: bool = False,
|
||||
) -> dict:
|
||||
"""回复消息"""
|
||||
message_data = WebChatMessage(
|
||||
id=-1,
|
||||
role='assistant',
|
||||
content=str(message),
|
||||
message_chain=[component.__dict__ for component in message],
|
||||
timestamp=datetime.now().isoformat(),
|
||||
)
|
||||
|
||||
# notify waiter
|
||||
session = (
|
||||
self.webchat_group_session
|
||||
if isinstance(message_source, platform_events.GroupMessage)
|
||||
else self.webchat_person_session
|
||||
)
|
||||
if message_source.message_chain.message_id not in session.resp_waiters:
|
||||
# session.resp_waiters[message_source.message_chain.message_id] = asyncio.Queue()
|
||||
queue = session.resp_queues[message_source.message_chain.message_id]
|
||||
|
||||
# if isinstance(message_source, platform_events.FriendMessage):
|
||||
# queue = self.webchat_person_session.resp_queues[message_source.message_chain.message_id]
|
||||
# elif isinstance(message_source, platform_events.GroupMessage):
|
||||
# queue = self.webchat_group_session.resp_queues[message_source.message_chain.message_id]
|
||||
if is_final and bot_message.tool_calls is None:
|
||||
message_data.is_final = True
|
||||
# print(message_data)
|
||||
await queue.put(message_data)
|
||||
|
||||
return message_data.model_dump()
|
||||
|
||||
async def is_stream_output_supported(self) -> bool:
|
||||
return self.is_stream
|
||||
|
||||
def register_listener(
|
||||
self,
|
||||
event_type: typing.Type[platform_events.Event],
|
||||
@@ -157,8 +202,13 @@ class WebChatAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
|
||||
await self.logger.info('WebChat调试适配器正在停止')
|
||||
|
||||
async def send_webchat_message(
|
||||
self, pipeline_uuid: str, session_type: str, message_chain_obj: typing.List[dict]
|
||||
self,
|
||||
pipeline_uuid: str,
|
||||
session_type: str,
|
||||
message_chain_obj: typing.List[dict],
|
||||
is_stream: bool = False,
|
||||
) -> dict:
|
||||
self.is_stream = is_stream
|
||||
"""发送调试消息到流水线"""
|
||||
if session_type == 'person':
|
||||
use_session = self.webchat_person_session
|
||||
@@ -169,6 +219,9 @@ class WebChatAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
|
||||
|
||||
message_id = len(use_session.get_message_list(pipeline_uuid)) + 1
|
||||
|
||||
use_session.resp_queues[message_id] = asyncio.Queue()
|
||||
logger.debug(f'Initialized queue for message_id: {message_id}')
|
||||
|
||||
use_session.get_message_list(pipeline_uuid).append(
|
||||
WebChatMessage(
|
||||
id=message_id,
|
||||
@@ -202,21 +255,46 @@ class WebChatAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
|
||||
|
||||
self.ap.platform_mgr.webchat_proxy_bot.bot_entity.use_pipeline_uuid = pipeline_uuid
|
||||
|
||||
# trigger pipeline
|
||||
if event.__class__ in self.listeners:
|
||||
await self.listeners[event.__class__](event, self)
|
||||
|
||||
# set waiter
|
||||
waiter = asyncio.Future[WebChatMessage]()
|
||||
use_session.resp_waiters[message_id] = waiter
|
||||
waiter.add_done_callback(lambda future: use_session.resp_waiters.pop(message_id))
|
||||
|
||||
resp_message = await waiter
|
||||
|
||||
resp_message.id = len(use_session.get_message_list(pipeline_uuid)) + 1
|
||||
|
||||
if is_stream:
|
||||
queue = use_session.resp_queues[message_id]
|
||||
msg_id = len(use_session.get_message_list(pipeline_uuid)) + 1
|
||||
while True:
|
||||
resp_message = await queue.get()
|
||||
resp_message.id = msg_id
|
||||
if resp_message.is_final:
|
||||
resp_message.id = msg_id
|
||||
use_session.get_message_list(pipeline_uuid).append(resp_message)
|
||||
yield resp_message.model_dump()
|
||||
break
|
||||
yield resp_message.model_dump()
|
||||
use_session.resp_queues.pop(message_id)
|
||||
|
||||
return resp_message.model_dump()
|
||||
else: # non-stream
|
||||
# set waiter
|
||||
# waiter = asyncio.Future[WebChatMessage]()
|
||||
# use_session.resp_waiters[message_id] = waiter
|
||||
# # waiter.add_done_callback(lambda future: use_session.resp_waiters.pop(message_id))
|
||||
#
|
||||
# resp_message = await waiter
|
||||
#
|
||||
# resp_message.id = len(use_session.get_message_list(pipeline_uuid)) + 1
|
||||
#
|
||||
# use_session.get_message_list(pipeline_uuid).append(resp_message)
|
||||
#
|
||||
# yield resp_message.model_dump()
|
||||
msg_id = len(use_session.get_message_list(pipeline_uuid)) + 1
|
||||
|
||||
queue = use_session.resp_queues[message_id]
|
||||
resp_message = await queue.get()
|
||||
use_session.get_message_list(pipeline_uuid).append(resp_message)
|
||||
resp_message.id = msg_id
|
||||
resp_message.is_final = True
|
||||
|
||||
yield resp_message.model_dump()
|
||||
|
||||
def get_webchat_messages(self, pipeline_uuid: str, session_type: str) -> list[dict]:
|
||||
"""获取调试消息历史"""
|
||||
|
||||
@@ -9,7 +9,8 @@ metadata:
|
||||
en_US: "WebChat adapter for pipeline debugging"
|
||||
zh_Hans: "用于流水线调试的网页聊天适配器"
|
||||
icon: ""
|
||||
spec: {}
|
||||
spec:
|
||||
config: []
|
||||
execution:
|
||||
python:
|
||||
path: "webchat.py"
|
||||
|
||||
@@ -11,13 +11,11 @@ import asyncio
|
||||
import traceback
|
||||
import re
|
||||
import base64
|
||||
import os
|
||||
import copy
|
||||
import threading
|
||||
|
||||
import quart
|
||||
|
||||
from ...core import app
|
||||
from ..logger import EventLogger
|
||||
import xml.etree.ElementTree as ET
|
||||
from typing import Optional, Tuple
|
||||
@@ -27,21 +25,23 @@ import langbot_plugin.api.entities.builtin.platform.message as platform_message
|
||||
import langbot_plugin.api.entities.builtin.platform.events as platform_events
|
||||
import langbot_plugin.api.entities.builtin.platform.entities as platform_entities
|
||||
import langbot_plugin.api.definition.abstract.platform.adapter as abstract_platform_adapter
|
||||
import langbot_plugin.api.definition.abstract.platform.event_logger as abstract_platform_logger
|
||||
|
||||
|
||||
class WeChatPadMessageConverter(abstract_platform_adapter.AbstractMessageConverter):
|
||||
def __init__(self, config: dict):
|
||||
def __init__(self, config: dict, logger: abstract_platform_logger.AbstractEventLogger):
|
||||
self.config = config
|
||||
self.bot = WeChatPadClient(self.config['wechatpad_url'], self.config['token'])
|
||||
self.logger = logging.getLogger('WeChatPadMessageConverter')
|
||||
self.logger = logger
|
||||
|
||||
@staticmethod
|
||||
async def yiri2target(message_chain: platform_message.MessageChain) -> list[dict]:
|
||||
content_list = []
|
||||
_ = os.path.abspath(__file__)
|
||||
|
||||
for component in message_chain:
|
||||
if isinstance(component, platform_message.At):
|
||||
if isinstance(component, platform_message.AtAll):
|
||||
content_list.append({'type': 'at', 'target': 'all'})
|
||||
elif isinstance(component, platform_message.At):
|
||||
content_list.append({'type': 'at', 'target': component.target})
|
||||
elif isinstance(component, platform_message.Plain):
|
||||
content_list.append({'type': 'text', 'content': component.text})
|
||||
@@ -75,20 +75,34 @@ class WeChatPadMessageConverter(abstract_platform_adapter.AbstractMessageConvert
|
||||
|
||||
return content_list
|
||||
|
||||
async def target2yiri(self, message: dict, bot_account_id: str) -> platform_message.MessageChain:
|
||||
async def target2yiri(
|
||||
self,
|
||||
message: dict,
|
||||
bot_account_id: str,
|
||||
) -> platform_message.MessageChain:
|
||||
"""外部消息转平台消息"""
|
||||
# 数据预处理
|
||||
message_list = []
|
||||
bot_wxid = self.config['wxid']
|
||||
ats_bot = False # 是否被@
|
||||
content = message['content']['str']
|
||||
content_no_preifx = content # 群消息则去掉前缀
|
||||
is_group_message = self._is_group_message(message)
|
||||
if is_group_message:
|
||||
ats_bot = self._ats_bot(message, bot_account_id)
|
||||
|
||||
self.logger.info(f'ats_bot: {ats_bot}; bot_account_id: {bot_account_id}; bot_wxid: {bot_wxid}')
|
||||
if '@所有人' in content:
|
||||
message_list.append(platform_message.AtAll())
|
||||
elif ats_bot:
|
||||
if ats_bot:
|
||||
message_list.append(platform_message.At(target=bot_account_id))
|
||||
|
||||
# 解析@信息并生成At组件
|
||||
at_targets = self._extract_at_targets(message)
|
||||
for target_id in at_targets:
|
||||
if target_id != bot_wxid: # 避免重复添加机器人的At
|
||||
message_list.append(platform_message.At(target=target_id))
|
||||
|
||||
content_no_preifx, _ = self._extract_content_and_sender(content)
|
||||
|
||||
msg_type = message['msg_type']
|
||||
@@ -226,8 +240,8 @@ class WeChatPadMessageConverter(abstract_platform_adapter.AbstractMessageConvert
|
||||
# self.logger.info("_handler_compound_quote", ET.tostring(xml_data, encoding='unicode'))
|
||||
appmsg_data = xml_data.find('.//appmsg')
|
||||
quote_data = '' # 引用原文
|
||||
quote_id = None # 引用消息的原发送者
|
||||
tousername = None # 接收方: 所属微信的wxid
|
||||
# quote_id = None # 引用消息的原发送者
|
||||
# tousername = None # 接收方: 所属微信的wxid
|
||||
user_data = '' # 用户消息
|
||||
sender_id = xml_data.findtext('.//fromusername') # 发送方：单聊用户/群member
|
||||
|
||||
@@ -235,13 +249,10 @@ class WeChatPadMessageConverter(abstract_platform_adapter.AbstractMessageConvert
|
||||
if appmsg_data:
|
||||
user_data = appmsg_data.findtext('.//title') or ''
|
||||
quote_data = appmsg_data.find('.//refermsg').findtext('.//content')
|
||||
quote_id = appmsg_data.find('.//refermsg').findtext('.//chatusr')
|
||||
# quote_id = appmsg_data.find('.//refermsg').findtext('.//chatusr')
|
||||
message_list.append(platform_message.WeChatAppMsg(app_msg=ET.tostring(appmsg_data, encoding='unicode')))
|
||||
if message:
|
||||
tousername = message['to_user_name']['str']
|
||||
|
||||
_ = tousername
|
||||
_ = quote_id
|
||||
# if message:
|
||||
# tousername = message['to_user_name']['str']
|
||||
|
||||
if quote_data:
|
||||
quote_data_message_list = platform_message.MessageChain()
|
||||
@@ -397,6 +408,23 @@ class WeChatPadMessageConverter(abstract_platform_adapter.AbstractMessageConvert
|
||||
finally:
|
||||
return ats_bot
|
||||
|
||||
# 提取一下at的wxid列表
|
||||
def _extract_at_targets(self, message: dict) -> list[str]:
|
||||
"""从消息中提取被@用户的ID列表"""
|
||||
at_targets = []
|
||||
try:
|
||||
# 从msg_source中解析atuserlist
|
||||
msg_source = message.get('msg_source', '') or ''
|
||||
if len(msg_source) > 0:
|
||||
msg_source_data = ET.fromstring(msg_source)
|
||||
at_user_list = msg_source_data.findtext('atuserlist') or ''
|
||||
if at_user_list:
|
||||
# atuserlist格式通常是逗号分隔的用户ID列表
|
||||
at_targets = [user_id.strip() for user_id in at_user_list.split(',') if user_id.strip()]
|
||||
except Exception as e:
|
||||
self.logger.error(f'_extract_at_targets got except: {e}')
|
||||
return at_targets
|
||||
|
||||
# 提取一下content前面的sender_id, 和去掉前缀的内容
|
||||
def _extract_content_and_sender(self, raw_content: str) -> Tuple[str, Optional[str]]:
|
||||
try:
|
||||
@@ -420,16 +448,20 @@ class WeChatPadMessageConverter(abstract_platform_adapter.AbstractMessageConvert
|
||||
|
||||
|
||||
class WeChatPadEventConverter(abstract_platform_adapter.AbstractEventConverter):
|
||||
def __init__(self, config: dict):
|
||||
def __init__(self, config: dict, logger: logging.Logger):
|
||||
self.config = config
|
||||
self.message_converter = WeChatPadMessageConverter(config)
|
||||
self.logger = logging.getLogger('WeChatPadEventConverter')
|
||||
self.message_converter = WeChatPadMessageConverter(config, logger)
|
||||
self.logger = logger
|
||||
|
||||
@staticmethod
|
||||
async def yiri2target(event: platform_events.MessageEvent) -> dict:
|
||||
pass
|
||||
|
||||
async def target2yiri(self, event: dict, bot_account_id: str) -> platform_events.MessageEvent:
|
||||
async def target2yiri(
|
||||
self,
|
||||
event: dict,
|
||||
bot_account_id: str,
|
||||
) -> platform_events.MessageEvent:
|
||||
# 排除公众号以及微信团队消息
|
||||
if (
|
||||
event['from_user_name']['str'].startswith('gh_')
|
||||
@@ -489,8 +521,6 @@ class WeChatPadAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter)
|
||||
|
||||
config: dict
|
||||
|
||||
ap: app.Application
|
||||
|
||||
logger: EventLogger
|
||||
|
||||
message_converter: WeChatPadMessageConverter
|
||||
@@ -501,14 +531,13 @@ class WeChatPadAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter)
|
||||
typing.Callable[[platform_events.Event, abstract_platform_adapter.AbstractMessagePlatformAdapter], None],
|
||||
] = {}
|
||||
|
||||
def __init__(self, config: dict, ap: app.Application, logger: EventLogger):
|
||||
def __init__(self, config: dict, logger: EventLogger):
|
||||
self.config = config
|
||||
self.ap = ap
|
||||
self.logger = logger
|
||||
self.quart_app = quart.Quart(__name__)
|
||||
|
||||
self.message_converter = WeChatPadMessageConverter(config)
|
||||
self.event_converter = WeChatPadEventConverter(config)
|
||||
self.message_converter = WeChatPadMessageConverter(config, logger)
|
||||
self.event_converter = WeChatPadEventConverter(config, logger)
|
||||
|
||||
async def ws_message(self, data):
|
||||
"""处理接收到的消息"""
|
||||
@@ -541,6 +570,9 @@ class WeChatPadAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter)
|
||||
for msg in content_list:
|
||||
# 文本消息处理@
|
||||
if msg['type'] == 'text' and at_targets:
|
||||
if 'all' in at_targets:
|
||||
msg['content'] = f'@所有人 {msg["content"]}'
|
||||
else:
|
||||
at_nick_name_list = []
|
||||
for member in member_info:
|
||||
if member['user_name'] in at_targets:
|
||||
@@ -550,10 +582,10 @@ class WeChatPadAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter)
|
||||
# 统一消息派发
|
||||
handler_map = {
|
||||
'text': lambda msg: self.bot.send_text_message(
|
||||
to_wxid=target_id, message=msg['content'], ats=at_targets
|
||||
to_wxid=target_id, message=msg['content'], ats=['notify@all'] if 'all' in at_targets else at_targets
|
||||
),
|
||||
'image': lambda msg: self.bot.send_image_message(
|
||||
to_wxid=target_id, img_url=msg['image'], ats=at_targets
|
||||
to_wxid=target_id, img_url=msg['image'], ats=['notify@all'] if 'all' in at_targets else at_targets
|
||||
),
|
||||
'WeChatEmoji': lambda msg: self.bot.send_emoji_message(
|
||||
to_wxid=target_id, emoji_md5=msg['emoji_md5'], emoji_size=msg['emoji_size']
|
||||
@@ -575,7 +607,7 @@ class WeChatPadAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter)
|
||||
if handler := handler_map.get(msg['type']):
|
||||
handler(msg)
|
||||
else:
|
||||
print(f'未处理的消息类型: {msg["type"]}')
|
||||
self.logger.warning(f'未处理的消息类型: {msg["type"]}')
|
||||
continue
|
||||
|
||||
async def send_message(self, target_type: str, target_id: str, message: platform_message.MessageChain):
|
||||
@@ -650,7 +682,7 @@ class WeChatPadAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter)
|
||||
# url = login_data['Data']["QrCodeUrl"]
|
||||
|
||||
profile = self.bot.get_profile()
|
||||
self.logger.info(profile)
|
||||
# self.logger.info(profile)
|
||||
|
||||
self.bot_account_id = profile['Data']['userInfo']['nickName']['str']
|
||||
self.config['wxid'] = profile['Data']['userInfo']['userName']['str']
|
||||
@@ -670,18 +702,18 @@ class WeChatPadAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter)
|
||||
# 这里需要确保ws_message是同步的，或者使用asyncio.run调用异步方法
|
||||
asyncio.run(self.ws_message(data))
|
||||
except json.JSONDecodeError:
|
||||
print(f'Non-JSON message: {message[:100]}...')
|
||||
self.logger.error(f'Non-JSON message: {message[:100]}...')
|
||||
|
||||
def on_error(ws, error):
|
||||
print(f'WebSocket error: {str(error)[:200]}')
|
||||
self.logger.error(f'WebSocket error: {str(error)[:200]}')
|
||||
|
||||
def on_close(ws, close_status_code, close_msg):
|
||||
print('WebSocket closed, reconnecting...')
|
||||
self.logger.info('WebSocket closed, reconnecting...')
|
||||
time.sleep(5)
|
||||
connect_websocket_sync() # 自动重连
|
||||
|
||||
def on_open(ws):
|
||||
print('WebSocket connected successfully!')
|
||||
self.logger.info('WebSocket connected successfully!')
|
||||
|
||||
ws = websocket.WebSocketApp(
|
||||
uri, on_message=on_message, on_error=on_error, on_close=on_close, on_open=on_open
|
||||
|
||||
@@ -144,9 +144,9 @@ class WecomCSAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
|
||||
super().__init__(
|
||||
config=config,
|
||||
logger=logger,
|
||||
bot=bot,
|
||||
bot_account_id='',
|
||||
listeners={},
|
||||
bot=bot,
|
||||
)
|
||||
|
||||
async def reply_message(
|
||||
|
||||
@@ -17,7 +17,7 @@ class LLMModelInfo(pydantic.BaseModel):
|
||||
|
||||
token_mgr: token.TokenManager
|
||||
|
||||
requester: requester.LLMAPIRequester
|
||||
requester: requester.ProviderAPIRequester
|
||||
|
||||
tool_call_supported: typing.Optional[bool] = False
|
||||
|
||||
|
||||
@@ -20,13 +20,16 @@ class ModelManager:
|
||||
|
||||
llm_models: list[requester.RuntimeLLMModel]
|
||||
|
||||
embedding_models: list[requester.RuntimeEmbeddingModel]
|
||||
|
||||
requester_components: list[engine.Component]
|
||||
|
||||
requester_dict: dict[str, type[requester.LLMAPIRequester]] # cache
|
||||
requester_dict: dict[str, type[requester.ProviderAPIRequester]] # cache
|
||||
|
||||
def __init__(self, ap: app.Application):
|
||||
self.ap = ap
|
||||
self.llm_models = []
|
||||
self.embedding_models = []
|
||||
self.requester_components = []
|
||||
self.requester_dict = {}
|
||||
|
||||
@@ -34,7 +37,7 @@ class ModelManager:
|
||||
self.requester_components = self.ap.discover.get_components_by_kind('LLMAPIRequester')
|
||||
|
||||
# forge requester class dict
|
||||
requester_dict: dict[str, type[requester.LLMAPIRequester]] = {}
|
||||
requester_dict: dict[str, type[requester.ProviderAPIRequester]] = {}
|
||||
for component in self.requester_components:
|
||||
requester_dict[component.metadata.name] = component.get_python_component_class()
|
||||
|
||||
@@ -47,13 +50,11 @@ class ModelManager:
|
||||
self.ap.logger.info('Loading models from db...')
|
||||
|
||||
self.llm_models = []
|
||||
self.embedding_models = []
|
||||
|
||||
# llm models
|
||||
result = await self.ap.persistence_mgr.execute_async(sqlalchemy.select(persistence_model.LLMModel))
|
||||
|
||||
llm_models = result.all()
|
||||
|
||||
# load models
|
||||
for llm_model in llm_models:
|
||||
try:
|
||||
await self.load_llm_model(llm_model)
|
||||
@@ -62,11 +63,17 @@ class ModelManager:
|
||||
except Exception as e:
|
||||
self.ap.logger.error(f'Failed to load model {llm_model.uuid}: {e}\n{traceback.format_exc()}')
|
||||
|
||||
# embedding models
|
||||
result = await self.ap.persistence_mgr.execute_async(sqlalchemy.select(persistence_model.EmbeddingModel))
|
||||
embedding_models = result.all()
|
||||
for embedding_model in embedding_models:
|
||||
await self.load_embedding_model(embedding_model)
|
||||
|
||||
async def init_runtime_llm_model(
|
||||
self,
|
||||
model_info: persistence_model.LLMModel | sqlalchemy.Row[persistence_model.LLMModel] | dict,
|
||||
):
|
||||
"""初始化运行时模型"""
|
||||
"""初始化运行时 LLM 模型"""
|
||||
if isinstance(model_info, sqlalchemy.Row):
|
||||
model_info = persistence_model.LLMModel(**model_info._mapping)
|
||||
elif isinstance(model_info, dict):
|
||||
@@ -90,30 +97,84 @@ class ModelManager:
|
||||
|
||||
return runtime_llm_model
|
||||
|
||||
async def init_runtime_embedding_model(
|
||||
self,
|
||||
model_info: persistence_model.EmbeddingModel | sqlalchemy.Row[persistence_model.EmbeddingModel] | dict,
|
||||
):
|
||||
"""初始化运行时 Embedding 模型"""
|
||||
if isinstance(model_info, sqlalchemy.Row):
|
||||
model_info = persistence_model.EmbeddingModel(**model_info._mapping)
|
||||
elif isinstance(model_info, dict):
|
||||
model_info = persistence_model.EmbeddingModel(**model_info)
|
||||
|
||||
requester_inst = self.requester_dict[model_info.requester](ap=self.ap, config=model_info.requester_config)
|
||||
|
||||
await requester_inst.initialize()
|
||||
|
||||
runtime_embedding_model = requester.RuntimeEmbeddingModel(
|
||||
model_entity=model_info,
|
||||
token_mgr=token.TokenManager(
|
||||
name=model_info.uuid,
|
||||
tokens=model_info.api_keys,
|
||||
),
|
||||
requester=requester_inst,
|
||||
)
|
||||
|
||||
return runtime_embedding_model
|
||||
|
||||
async def load_llm_model(
|
||||
self,
|
||||
model_info: persistence_model.LLMModel | sqlalchemy.Row[persistence_model.LLMModel] | dict,
|
||||
):
|
||||
"""加载模型"""
|
||||
"""加载 LLM 模型"""
|
||||
runtime_llm_model = await self.init_runtime_llm_model(model_info)
|
||||
self.llm_models.append(runtime_llm_model)
|
||||
|
||||
async def load_embedding_model(
|
||||
self,
|
||||
model_info: persistence_model.EmbeddingModel | sqlalchemy.Row[persistence_model.EmbeddingModel] | dict,
|
||||
):
|
||||
"""加载 Embedding 模型"""
|
||||
runtime_embedding_model = await self.init_runtime_embedding_model(model_info)
|
||||
self.embedding_models.append(runtime_embedding_model)
|
||||
|
||||
async def get_model_by_uuid(self, uuid: str) -> requester.RuntimeLLMModel:
|
||||
"""通过uuid获取模型"""
|
||||
"""通过uuid获取 LLM 模型"""
|
||||
for model in self.llm_models:
|
||||
if model.model_entity.uuid == uuid:
|
||||
return model
|
||||
raise ValueError(f'model {uuid} not found')
|
||||
raise ValueError(f'LLM model {uuid} not found')
|
||||
|
||||
async def get_embedding_model_by_uuid(self, uuid: str) -> requester.RuntimeEmbeddingModel:
|
||||
"""通过uuid获取 Embedding 模型"""
|
||||
for model in self.embedding_models:
|
||||
if model.model_entity.uuid == uuid:
|
||||
return model
|
||||
raise ValueError(f'Embedding model {uuid} not found')
|
||||
|
||||
async def remove_llm_model(self, model_uuid: str):
|
||||
"""移除模型"""
|
||||
"""移除 LLM 模型"""
|
||||
for model in self.llm_models:
|
||||
if model.model_entity.uuid == model_uuid:
|
||||
self.llm_models.remove(model)
|
||||
return
|
||||
|
||||
def get_available_requesters_info(self) -> list[dict]:
|
||||
async def remove_embedding_model(self, model_uuid: str):
|
||||
"""移除 Embedding 模型"""
|
||||
for model in self.embedding_models:
|
||||
if model.model_entity.uuid == model_uuid:
|
||||
self.embedding_models.remove(model)
|
||||
return
|
||||
|
||||
def get_available_requesters_info(self, model_type: str) -> list[dict]:
|
||||
"""获取所有可用的请求器"""
|
||||
if model_type != '':
|
||||
return [
|
||||
component.to_plain_dict()
|
||||
for component in self.requester_components
|
||||
if model_type in component.spec['support_type']
|
||||
]
|
||||
else:
|
||||
return [component.to_plain_dict() for component in self.requester_components]
|
||||
|
||||
def get_available_requester_info_by_name(self, name: str) -> dict | None:
|
||||
|
||||
@@ -20,22 +20,45 @@ class RuntimeLLMModel:
|
||||
token_mgr: token.TokenManager
|
||||
"""api key管理器"""
|
||||
|
||||
requester: LLMAPIRequester
|
||||
requester: ProviderAPIRequester
|
||||
"""请求器实例"""
|
||||
|
||||
def __init__(
|
||||
self,
|
||||
model_entity: persistence_model.LLMModel,
|
||||
token_mgr: token.TokenManager,
|
||||
requester: LLMAPIRequester,
|
||||
requester: ProviderAPIRequester,
|
||||
):
|
||||
self.model_entity = model_entity
|
||||
self.token_mgr = token_mgr
|
||||
self.requester = requester
|
||||
|
||||
|
||||
class LLMAPIRequester(metaclass=abc.ABCMeta):
|
||||
"""LLM API请求器"""
|
||||
class RuntimeEmbeddingModel:
|
||||
"""运行时 Embedding 模型"""
|
||||
|
||||
model_entity: persistence_model.EmbeddingModel
|
||||
"""模型数据"""
|
||||
|
||||
token_mgr: token.TokenManager
|
||||
"""api key管理器"""
|
||||
|
||||
requester: ProviderAPIRequester
|
||||
"""请求器实例"""
|
||||
|
||||
def __init__(
|
||||
self,
|
||||
model_entity: persistence_model.EmbeddingModel,
|
||||
token_mgr: token.TokenManager,
|
||||
requester: ProviderAPIRequester,
|
||||
):
|
||||
self.model_entity = model_entity
|
||||
self.token_mgr = token_mgr
|
||||
self.requester = requester
|
||||
|
||||
|
||||
class ProviderAPIRequester(metaclass=abc.ABCMeta):
|
||||
"""Provider API请求器"""
|
||||
|
||||
name: str = None
|
||||
|
||||
@@ -61,6 +84,7 @@ class LLMAPIRequester(metaclass=abc.ABCMeta):
|
||||
messages: typing.List[provider_message.Message],
|
||||
funcs: typing.List[resource_tool.LLMTool] = None,
|
||||
extra_args: dict[str, typing.Any] = {},
|
||||
remove_think: bool = False,
|
||||
) -> provider_message.Message:
|
||||
"""调用API
|
||||
|
||||
@@ -69,8 +93,50 @@ class LLMAPIRequester(metaclass=abc.ABCMeta):
|
||||
messages (typing.List[llm_entities.Message]): 消息对象列表
|
||||
funcs (typing.List[tools_entities.LLMFunction], optional): 使用的工具函数列表. Defaults to None.
|
||||
extra_args (dict[str, typing.Any], optional): 额外的参数. Defaults to {}.
|
||||
remove_think (bool, optional): 是否移思考中的消息. Defaults to False.
|
||||
|
||||
Returns:
|
||||
llm_entities.Message: 返回消息对象
|
||||
"""
|
||||
pass
|
||||
|
||||
async def invoke_llm_stream(
|
||||
self,
|
||||
query: pipeline_query.Query,
|
||||
model: RuntimeLLMModel,
|
||||
messages: typing.List[provider_message.Message],
|
||||
funcs: typing.List[resource_tool.LLMTool] = None,
|
||||
extra_args: dict[str, typing.Any] = {},
|
||||
remove_think: bool = False,
|
||||
) -> provider_message.MessageChunk:
|
||||
"""调用API
|
||||
|
||||
Args:
|
||||
model (RuntimeLLMModel): 使用的模型信息
|
||||
messages (typing.List[provider_message.Message]): 消息对象列表
|
||||
funcs (typing.List[resource_tool.LLMTool], optional): 使用的工具函数列表. Defaults to None.
|
||||
extra_args (dict[str, typing.Any], optional): 额外的参数. Defaults to {}.
|
||||
remove_think (bool, optional): 是否移除思考中的消息. Defaults to False.
|
||||
|
||||
Returns:
|
||||
typing.AsyncGenerator[provider_message.MessageChunk]: 返回消息对象
|
||||
"""
|
||||
pass
|
||||
|
||||
async def invoke_embedding(
|
||||
self,
|
||||
model: RuntimeEmbeddingModel,
|
||||
input_text: typing.List[str],
|
||||
extra_args: dict[str, typing.Any] = {},
|
||||
) -> typing.List[typing.List[float]]:
|
||||
"""调用 Embedding API
|
||||
|
||||
Args:
|
||||
model (RuntimeEmbeddingModel): 使用的模型信息
|
||||
input_text (typing.List[str]): 输入文本
|
||||
extra_args (dict[str, typing.Any], optional): 额外的参数. Defaults to {}.
|
||||
|
||||
Returns:
|
||||
typing.List[typing.List[float]]: 返回的 embedding 向量
|
||||
"""
|
||||
pass
|
||||
|
||||
@@ -7,7 +7,7 @@ from . import chatcmpl
|
||||
|
||||
|
||||
class AI302ChatCompletions(chatcmpl.OpenAIChatCompletions):
|
||||
"""302 AI ChatCompletion API 请求器"""
|
||||
"""302.AI ChatCompletion API 请求器"""
|
||||
|
||||
client: openai.AsyncClient
|
||||
|
||||
|
||||
@@ -3,8 +3,8 @@ kind: LLMAPIRequester
|
||||
metadata:
|
||||
name: 302-ai-chat-completions
|
||||
label:
|
||||
en_US: 302 AI
|
||||
zh_Hans: 302 AI
|
||||
en_US: 302.AI
|
||||
zh_Hans: 302.AI
|
||||
icon: 302ai.png
|
||||
spec:
|
||||
config:
|
||||
@@ -22,6 +22,9 @@ spec:
|
||||
type: integer
|
||||
required: true
|
||||
default: 120
|
||||
support_type:
|
||||
- llm
|
||||
- text-embedding
|
||||
execution:
|
||||
python:
|
||||
path: ./302aichatcmpl.py
|
||||
|
||||
@@ -15,13 +15,13 @@ import langbot_plugin.api.entities.builtin.pipeline.query as pipeline_query
|
||||
import langbot_plugin.api.entities.builtin.provider.message as provider_message
|
||||
|
||||
|
||||
class AnthropicMessages(requester.LLMAPIRequester):
|
||||
class AnthropicMessages(requester.ProviderAPIRequester):
|
||||
"""Anthropic Messages API 请求器"""
|
||||
|
||||
client: anthropic.AsyncAnthropic
|
||||
|
||||
default_config: dict[str, typing.Any] = {
|
||||
'base_url': 'https://api.anthropic.com/v1',
|
||||
'base_url': 'https://api.anthropic.com',
|
||||
'timeout': 120,
|
||||
}
|
||||
|
||||
@@ -44,6 +44,7 @@ class AnthropicMessages(requester.LLMAPIRequester):
|
||||
self.client = anthropic.AsyncAnthropic(
|
||||
api_key='',
|
||||
http_client=httpx_client,
|
||||
base_url=self.requester_cfg['base_url'],
|
||||
)
|
||||
|
||||
async def invoke_llm(
|
||||
@@ -53,6 +54,7 @@ class AnthropicMessages(requester.LLMAPIRequester):
|
||||
messages: typing.List[provider_message.Message],
|
||||
funcs: typing.List[resource_tool.LLMTool] = None,
|
||||
extra_args: dict[str, typing.Any] = {},
|
||||
remove_think: bool = False,
|
||||
) -> provider_message.Message:
|
||||
self.client.api_key = model.token_mgr.get_token()
|
||||
|
||||
@@ -89,7 +91,8 @@ class AnthropicMessages(requester.LLMAPIRequester):
|
||||
{
|
||||
'type': 'tool_result',
|
||||
'tool_use_id': tool_call_id,
|
||||
'content': m.content,
|
||||
'is_error': False,
|
||||
'content': [{'type': 'text', 'text': m.content}],
|
||||
}
|
||||
],
|
||||
}
|
||||
@@ -133,6 +136,9 @@ class AnthropicMessages(requester.LLMAPIRequester):
|
||||
|
||||
args['messages'] = req_messages
|
||||
|
||||
if 'thinking' in args:
|
||||
args['thinking'] = {'type': 'enabled', 'budget_tokens': 10000}
|
||||
|
||||
if funcs:
|
||||
tools = await self.ap.tool_mgr.generate_tools_for_anthropic(funcs)
|
||||
|
||||
@@ -140,19 +146,17 @@ class AnthropicMessages(requester.LLMAPIRequester):
|
||||
args['tools'] = tools
|
||||
|
||||
try:
|
||||
# print(json.dumps(args, indent=4, ensure_ascii=False))
|
||||
resp = await self.client.messages.create(**args)
|
||||
|
||||
args = {
|
||||
'content': '',
|
||||
'role': resp.role,
|
||||
}
|
||||
|
||||
assert type(resp) is anthropic.types.message.Message
|
||||
|
||||
for block in resp.content:
|
||||
if block.type == 'thinking':
|
||||
args['content'] = '<think>' + block.thinking + '</think>\n' + args['content']
|
||||
if not remove_think and block.type == 'thinking':
|
||||
args['content'] = '<think>\n' + block.thinking + '\n</think>\n' + args['content']
|
||||
elif block.type == 'text':
|
||||
args['content'] += block.text
|
||||
elif block.type == 'tool_use':
|
||||
@@ -176,3 +180,191 @@ class AnthropicMessages(requester.LLMAPIRequester):
|
||||
raise errors.RequesterError(f'模型无效: {e.message}')
|
||||
else:
|
||||
raise errors.RequesterError(f'请求地址无效: {e.message}')
|
||||
|
||||
async def invoke_llm_stream(
|
||||
self,
|
||||
query: pipeline_query.Query,
|
||||
model: requester.RuntimeLLMModel,
|
||||
messages: typing.List[provider_message.Message],
|
||||
funcs: typing.List[resource_tool.LLMTool] = None,
|
||||
extra_args: dict[str, typing.Any] = {},
|
||||
remove_think: bool = False,
|
||||
) -> provider_message.Message:
|
||||
self.client.api_key = model.token_mgr.get_token()
|
||||
|
||||
args = extra_args.copy()
|
||||
args['model'] = model.model_entity.name
|
||||
args['stream'] = True
|
||||
|
||||
# 处理消息
|
||||
|
||||
# system
|
||||
system_role_message = None
|
||||
|
||||
for i, m in enumerate(messages):
|
||||
if m.role == 'system':
|
||||
system_role_message = m
|
||||
|
||||
break
|
||||
|
||||
if system_role_message:
|
||||
messages.pop(i)
|
||||
|
||||
if isinstance(system_role_message, provider_message.Message) and isinstance(system_role_message.content, str):
|
||||
args['system'] = system_role_message.content
|
||||
|
||||
req_messages = []
|
||||
|
||||
for m in messages:
|
||||
if m.role == 'tool':
|
||||
tool_call_id = m.tool_call_id
|
||||
|
||||
req_messages.append(
|
||||
{
|
||||
'role': 'user',
|
||||
'content': [
|
||||
{
|
||||
'type': 'tool_result',
|
||||
'tool_use_id': tool_call_id,
|
||||
'is_error': False, # 暂时直接写false
|
||||
'content': [
|
||||
{'type': 'text', 'text': m.content}
|
||||
], # 这里要是list包裹，应该是多个返回的情况？type类型好像也可以填其他的，暂时只写text
|
||||
}
|
||||
],
|
||||
}
|
||||
)
|
||||
|
||||
continue
|
||||
|
||||
msg_dict = m.dict(exclude_none=True)
|
||||
|
||||
if isinstance(m.content, str) and m.content.strip() != '':
|
||||
msg_dict['content'] = [{'type': 'text', 'text': m.content}]
|
||||
elif isinstance(m.content, list):
|
||||
for i, ce in enumerate(m.content):
|
||||
if ce.type == 'image_base64':
|
||||
image_b64, image_format = await image.extract_b64_and_format(ce.image_base64)
|
||||
|
||||
alter_image_ele = {
|
||||
'type': 'image',
|
||||
'source': {
|
||||
'type': 'base64',
|
||||
'media_type': f'image/{image_format}',
|
||||
'data': image_b64,
|
||||
},
|
||||
}
|
||||
msg_dict['content'][i] = alter_image_ele
|
||||
if isinstance(msg_dict['content'], str) and msg_dict['content'] == '':
|
||||
msg_dict['content'] = [] # 这里不知道为什么会莫名有个空导致content为字符
|
||||
if m.tool_calls:
|
||||
for tool_call in m.tool_calls:
|
||||
msg_dict['content'].append(
|
||||
{
|
||||
'type': 'tool_use',
|
||||
'id': tool_call.id,
|
||||
'name': tool_call.function.name,
|
||||
'input': json.loads(tool_call.function.arguments),
|
||||
}
|
||||
)
|
||||
|
||||
del msg_dict['tool_calls']
|
||||
|
||||
req_messages.append(msg_dict)
|
||||
if 'thinking' in args:
|
||||
args['thinking'] = {'type': 'enabled', 'budget_tokens': 10000}
|
||||
|
||||
args['messages'] = req_messages
|
||||
|
||||
if funcs:
|
||||
tools = await self.ap.tool_mgr.generate_tools_for_anthropic(funcs)
|
||||
|
||||
if tools:
|
||||
args['tools'] = tools
|
||||
|
||||
try:
|
||||
role = 'assistant' # 默认角色
|
||||
# chunk_idx = 0
|
||||
think_started = False
|
||||
think_ended = False
|
||||
finish_reason = False
|
||||
content = ''
|
||||
tool_name = ''
|
||||
tool_id = ''
|
||||
async for chunk in await self.client.messages.create(**args):
|
||||
tool_call = {'id': None, 'function': {'name': None, 'arguments': None}, 'type': 'function'}
|
||||
if isinstance(
|
||||
chunk, anthropic.types.raw_content_block_start_event.RawContentBlockStartEvent
|
||||
): # 记录开始
|
||||
if chunk.content_block.type == 'tool_use':
|
||||
if chunk.content_block.name is not None:
|
||||
tool_name = chunk.content_block.name
|
||||
if chunk.content_block.id is not None:
|
||||
tool_id = chunk.content_block.id
|
||||
|
||||
tool_call['function']['name'] = tool_name
|
||||
tool_call['function']['arguments'] = ''
|
||||
tool_call['id'] = tool_id
|
||||
|
||||
if not remove_think:
|
||||
if chunk.content_block.type == 'thinking' and not remove_think:
|
||||
think_started = True
|
||||
elif chunk.content_block.type == 'text' and chunk.index != 0 and not remove_think:
|
||||
think_ended = True
|
||||
continue
|
||||
elif isinstance(chunk, anthropic.types.raw_content_block_delta_event.RawContentBlockDeltaEvent):
|
||||
if chunk.delta.type == 'thinking_delta':
|
||||
if think_started:
|
||||
think_started = False
|
||||
content = '<think>\n' + chunk.delta.thinking
|
||||
elif remove_think:
|
||||
continue
|
||||
else:
|
||||
content = chunk.delta.thinking
|
||||
elif chunk.delta.type == 'text_delta':
|
||||
if think_ended:
|
||||
think_ended = False
|
||||
content = '\n</think>\n' + chunk.delta.text
|
||||
else:
|
||||
content = chunk.delta.text
|
||||
elif chunk.delta.type == 'input_json_delta':
|
||||
tool_call['function']['arguments'] = chunk.delta.partial_json
|
||||
tool_call['function']['name'] = tool_name
|
||||
tool_call['id'] = tool_id
|
||||
elif isinstance(chunk, anthropic.types.raw_content_block_stop_event.RawContentBlockStopEvent):
|
||||
continue # 记录raw_content_block结束的
|
||||
|
||||
elif isinstance(chunk, anthropic.types.raw_message_delta_event.RawMessageDeltaEvent):
|
||||
if chunk.delta.stop_reason == 'end_turn':
|
||||
finish_reason = True
|
||||
elif isinstance(chunk, anthropic.types.raw_message_stop_event.RawMessageStopEvent):
|
||||
continue # 这个好像是完全结束
|
||||
else:
|
||||
# print(chunk)
|
||||
self.ap.logger.debug(f'anthropic chunk: {chunk}')
|
||||
continue
|
||||
|
||||
args = {
|
||||
'content': content,
|
||||
'role': role,
|
||||
'is_final': finish_reason,
|
||||
'tool_calls': None if tool_call['id'] is None else [tool_call],
|
||||
}
|
||||
# if chunk_idx == 0:
|
||||
# chunk_idx += 1
|
||||
# continue
|
||||
|
||||
# assert type(chunk) is anthropic.types.message.Chunk
|
||||
|
||||
yield provider_message.MessageChunk(**args)
|
||||
|
||||
# return llm_entities.Message(**args)
|
||||
except anthropic.AuthenticationError as e:
|
||||
raise errors.RequesterError(f'api-key 无效: {e.message}')
|
||||
except anthropic.BadRequestError as e:
|
||||
raise errors.RequesterError(str(e.message))
|
||||
except anthropic.NotFoundError as e:
|
||||
if 'model: ' in str(e):
|
||||
raise errors.RequesterError(f'模型无效: {e.message}')
|
||||
else:
|
||||
raise errors.RequesterError(f'请求地址无效: {e.message}')
|
||||
|
||||
@@ -14,7 +14,7 @@ spec:
|
||||
zh_Hans: 基础 URL
|
||||
type: string
|
||||
required: true
|
||||
default: "https://api.anthropic.com/v1"
|
||||
default: "https://api.anthropic.com"
|
||||
- name: timeout
|
||||
label:
|
||||
en_US: Timeout
|
||||
@@ -22,6 +22,8 @@ spec:
|
||||
type: integer
|
||||
required: true
|
||||
default: 120
|
||||
support_type:
|
||||
- llm
|
||||
execution:
|
||||
python:
|
||||
path: ./anthropicmsgs.py
|
||||
|
||||
Some files were not shown because too many files have changed in this diff Show More
Reference in New Issue
Block a user