mirror of
https://github.com/langbot-app/LangBot.git
synced 2026-06-03 20:44:36 +00:00
Compare commits
22 Commits
| Author | SHA1 | Date | |
|---|---|---|---|
|
34e2fa03ce | ||
|
|
7b63bcdc39 | ||
|
|
d26e81620d | ||
|
|
e7885539a7 | ||
|
|
f216505237 | ||
|
|
8b11eefd0c | ||
|
|
418cddd657 | ||
|
|
75edeb7a01 | ||
|
|
c5aa5be4d8 | ||
|
|
92614062cc | ||
|
|
09307d8c6d | ||
|
|
894db240ae | ||
|
|
f79cde5b0c | ||
|
|
d43c2c498c | ||
|
|
5f6036c5a8 | ||
|
|
dead0794b1 | ||
|
|
f784bad08b | ||
|
|
4e86e1c93d | ||
|
|
c0eec966ac | ||
|
|
62d6dae4f5 | ||
|
|
cab573f3e2 | ||
|
|
8fe59da302 |
@@ -1,8 +0,0 @@
|
||||
.github
|
||||
.venv
|
||||
.vscode
|
||||
.data
|
||||
.temp
|
||||
web/.next
|
||||
web/node_modules
|
||||
web/.env
|
||||
11
.github/pull_request_template.md
vendored
11
.github/pull_request_template.md
vendored
@@ -2,17 +2,6 @@
|
||||
|
||||
> 请在此部分填写你实现/解决/优化的内容:
|
||||
> Summary of what you implemented/solved/optimized:
|
||||
>
|
||||
|
||||
### 更改前后对比截图 / Screenshots
|
||||
|
||||
> 请在此部分粘贴更改前后对比截图（可以是界面截图、控制台输出、对话截图等）:
|
||||
> Please paste the screenshots of changes before and after here (can be interface screenshots, console output, conversation screenshots, etc.):
|
||||
>
|
||||
> 修改前 / Before:
|
||||
>
|
||||
> 修改后 / After:
|
||||
>
|
||||
|
||||
## 检查清单 / Checklist
|
||||
|
||||
|
||||
5
.github/workflows/build-docker-image.yml
vendored
5
.github/workflows/build-docker-image.yml
vendored
@@ -3,6 +3,7 @@ on:
|
||||
## 发布release的时候会自动构建
|
||||
release:
|
||||
types: [published]
|
||||
workflow_dispatch:
|
||||
jobs:
|
||||
publish-docker-image:
|
||||
runs-on: ubuntu-latest
|
||||
@@ -41,7 +42,7 @@ jobs:
|
||||
run: docker buildx create --name mybuilder --use
|
||||
- name: Build for Release # only relase, exlude pre-release
|
||||
if: ${{ github.event.release.prerelease == false }}
|
||||
run: docker buildx build --platform linux/arm64,linux/amd64 -t rockchin/langbot:${{ steps.check_version.outputs.version }} -t rockchin/langbot:latest . --push
|
||||
run: docker buildx build --platform linux/amd64 -t rockchin/langbot:${{ steps.check_version.outputs.version }} -t rockchin/langbot:latest . --push
|
||||
- name: Build for Pre-release # no update for latest tag
|
||||
if: ${{ github.event.release.prerelease == true }}
|
||||
run: docker buildx build --platform linux/arm64,linux/amd64 -t rockchin/langbot:${{ steps.check_version.outputs.version }} . --push
|
||||
run: docker buildx build --platform linux/amd64 -t rockchin/langbot:${{ steps.check_version.outputs.version }} . --push
|
||||
2
.github/workflows/run-tests.yml
vendored
2
.github/workflows/run-tests.yml
vendored
@@ -26,7 +26,7 @@ jobs:
|
||||
runs-on: ubuntu-latest
|
||||
strategy:
|
||||
matrix:
|
||||
python-version: ['3.11', '3.12', '3.13']
|
||||
python-version: ['3.10', '3.11', '3.12']
|
||||
fail-fast: false
|
||||
|
||||
steps:
|
||||
|
||||
37
.mcp.json
37
.mcp.json
@@ -1,37 +0,0 @@
|
||||
{
|
||||
"mcpServers": {
|
||||
"shadcn": {
|
||||
"command": "npx",
|
||||
"args": [
|
||||
"shadcn@latest",
|
||||
"mcp"
|
||||
]
|
||||
},
|
||||
"sequential-thinking": {
|
||||
"type": "stdio",
|
||||
"command": "npx",
|
||||
"args": ["-y", "@modelcontextprotocol/server-sequential-thinking"],
|
||||
"env": {}
|
||||
},
|
||||
"github": {
|
||||
"type": "stdio",
|
||||
"command": "npx",
|
||||
"args": ["-y", "@modelcontextprotocol/server-github"],
|
||||
"env": {
|
||||
"GITHUB_PERSONAL_ACCESS_TOKEN": "${GITHUB_PERSONAL_ACCESS_TOKEN}"
|
||||
}
|
||||
},
|
||||
"fetch": {
|
||||
"type": "stdio",
|
||||
"command": "uvx",
|
||||
"args": ["mcp-server-fetch"],
|
||||
"env": {}
|
||||
},
|
||||
"playwright": {
|
||||
"type": "stdio",
|
||||
"command": "npx",
|
||||
"args": ["-y", "@playwright/mcp@latest"],
|
||||
"env": {}
|
||||
}
|
||||
}
|
||||
}
|
||||
21
AGENTS.md
21
AGENTS.md
@@ -8,17 +8,16 @@ LangBot is a open-source LLM native instant messaging bot development platform,
|
||||
|
||||
LangBot has a comprehensive frontend, all operations can be performed through the frontend. The project splited into these major parts:
|
||||
|
||||
- `./src/langbot`: The main python package of the project, below are the main modules in this package:
|
||||
- `./pkg`: The core python package of the project backend.
|
||||
- `./pkg/platform`: The platform module of the project, containing the logic of message platform adapters, bot managers, message session managers, etc.
|
||||
- `./pkg/provider`: The provider module of the project, containing the logic of LLM providers, tool providers, etc.
|
||||
- `./pkg/pipeline`: The pipeline module of the project, containing the logic of pipelines, stages, query pool, etc.
|
||||
- `./pkg/api`: The api module of the project, containing the http api controllers and services.
|
||||
- `./pkg/plugin`: LangBot bridge for connecting with plugin system.
|
||||
- `./libs`: Some SDKs we previously developed for the project, such as `qq_official_api`, `wecom_api`, etc.
|
||||
- `./templates`: Templates of config files, components, etc.
|
||||
- `./web`: Frontend codebase, built with Next.js + **shadcn** + **Tailwind CSS**.
|
||||
- `./docker`: docker-compose deployment files.
|
||||
- `./pkg`: The core python package of the project backend.
|
||||
- `./pkg/platform`: The platform module of the project, containing the logic of message platform adapters, bot managers, message session managers, etc.
|
||||
- `./pkg/provider`: The provider module of the project, containing the logic of LLM providers, tool providers, etc.
|
||||
- `./pkg/pipeline`: The pipeline module of the project, containing the logic of pipelines, stages, query pool, etc.
|
||||
- `./pkg/api`: The api module of the project, containing the http api controllers and services.
|
||||
- `./pkg/plugin`: LangBot bridge for connecting with plugin system.
|
||||
- `./libs`: Some SDKs we previously developed for the project, such as `qq_official_api`, `wecom_api`, etc.
|
||||
- `./templates`: Templates of config files, components, etc.
|
||||
- `./web`: Frontend codebase, built with Next.js + **shadcn** + **Tailwind CSS**.
|
||||
- `./docker`: docker-compose deployment files.
|
||||
|
||||
## Backend Development
|
||||
|
||||
|
||||
@@ -20,4 +20,4 @@ RUN apt update \
|
||||
&& uv sync \
|
||||
&& touch /.dockerenv
|
||||
|
||||
CMD [ "uv", "run", "--no-sync", "main.py" ]
|
||||
CMD [ "uv", "run", "main.py" ]
|
||||
31
README.md
31
README.md
@@ -1,16 +1,14 @@
|
||||
|
||||
<p align="center">
|
||||
<a href="https://langbot.app">
|
||||
<img width="130" src="https://docs.langbot.app/langbot-logo.png" alt="LangBot"/>
|
||||
<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>
|
||||
|
||||
<h3>使用 LangBot 快速构建、调试、部署即时通信机器人。</h3>
|
||||
|
||||
[English](README_EN.md) / 简体中文 / [繁體中文](README_TW.md) / [日本語](README_JP.md) / [Español](README_ES.md) / [Français](README_FR.md) / [한국어](README_KO.md) / [Русский](README_RU.md) / [Tiếng Việt](README_VI.md)
|
||||
[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)
|
||||
@@ -24,23 +22,34 @@
|
||||
<a href="https://docs.langbot.app/zh/plugin/plugin-intro.html">插件介绍</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>
|
||||
|
||||
</p>
|
||||
|
||||
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
|
||||
|
||||
#### 快速部署
|
||||
#### 快速体验（推荐）
|
||||
|
||||
使用 `uvx` 一键启动（需要先安装 [uv](https://docs.astral.sh/uv/getting-started/installation/)）：
|
||||
使用 `uvx` 一键启动（无需安装）：
|
||||
|
||||
```bash
|
||||
uvx langbot
|
||||
```
|
||||
|
||||
或使用 `pip` 安装后运行：
|
||||
|
||||
```bash
|
||||
pip install langbot
|
||||
langbot
|
||||
```
|
||||
|
||||
访问 http://localhost:5300 即可开始使用。
|
||||
|
||||
详细文档[PyPI 安装](docs/PYPI_INSTALLATION.md)。
|
||||
|
||||
#### Docker Compose 部署
|
||||
|
||||
```bash
|
||||
@@ -83,13 +92,10 @@ docker compose up -d
|
||||
|
||||
## ✨ 特性
|
||||
|
||||
<img width="500" src="https://docs.langbot.app/ui/bot-page-zh-rounded.png" />
|
||||
|
||||
|
||||
- 💬 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)、[Coze](https://coze.com)、[n8n](https://n8n.io)等 LLMOps 平台。
|
||||
- 🤖 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、KOOK、Slack、LINE 等平台。
|
||||
- 💬 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：高稳定性、高安全性的生产级插件系统，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。
|
||||
- 🧩 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。
|
||||
|
||||
详细规格特性请访问[文档](https://docs.langbot.app/zh/insight/features.html)。
|
||||
@@ -111,7 +117,6 @@ docker compose up -d
|
||||
| 微信公众号 | ✅ | |
|
||||
| 飞书 | ✅ | |
|
||||
| 钉钉 | ✅ | |
|
||||
| KOOK | ✅ | |
|
||||
| Discord | ✅ | |
|
||||
| Telegram | ✅ | |
|
||||
| Slack | ✅ | |
|
||||
|
||||
32
README_EN.md
32
README_EN.md
@@ -1,15 +1,11 @@
|
||||
<p align="center">
|
||||
<a href="https://langbot.app">
|
||||
<img width="130" src="https://docs.langbot.app/langbot-logo.png" alt="LangBot"/>
|
||||
<img src="https://docs.langbot.app/social_en.png" alt="LangBot"/>
|
||||
</a>
|
||||
|
||||
<div align="center">
|
||||
|
||||
<a href="https://www.producthunt.com/products/langbot?utm_source=badge-follow&utm_medium=badge&utm_source=badge-langbot" target="_blank"><img src="https://api.producthunt.com/widgets/embed-image/v1/follow.svg?product_id=1077185&theme=light" alt="LangBot - Production-grade IM bot made easy. | Product Hunt" style="width: 250px; height: 54px;" width="250" height="54" /></a>
|
||||
|
||||
<h3>Quickly build, debug, and ship IM bots with LangBot.</h3>
|
||||
|
||||
English / [简体中文](README.md) / [繁體中文](README_TW.md) / [日本語](README_JP.md) / [Español](README_ES.md) / [Français](README_FR.md) / [한국어](README_KO.md) / [Русский](README_RU.md) / [Tiếng Việt](README_VI.md)
|
||||
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)
|
||||
@@ -25,19 +21,29 @@ English / [简体中文](README.md) / [繁體中文](README_TW.md) / [日本語]
|
||||
|
||||
</p>
|
||||
|
||||
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
|
||||
|
||||
#### Quick Start
|
||||
#### Quick Start (Recommended)
|
||||
|
||||
Use `uvx` to start with one command (need to install [uv](https://docs.astral.sh/uv/getting-started/installation/)):
|
||||
Use `uvx` to start with one command (no installation required):
|
||||
|
||||
```bash
|
||||
uvx langbot
|
||||
```
|
||||
|
||||
Or install with `pip` and run:
|
||||
|
||||
```bash
|
||||
pip install langbot
|
||||
langbot
|
||||
```
|
||||
|
||||
Visit http://localhost:5300 to start using it.
|
||||
|
||||
Detailed documentation [PyPI Installation](docs/PYPI_INSTALLATION.md).
|
||||
|
||||
#### Docker Compose Deployment
|
||||
|
||||
```bash
|
||||
@@ -80,13 +86,10 @@ Click the Star and Watch button in the upper right corner of the repository to g
|
||||
|
||||
## ✨ Features
|
||||
|
||||
<img width="500" src="https://docs.langbot.app/ui/bot-page-en-rounded.png" />
|
||||
|
||||
|
||||
- 💬 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), [Coze](https://coze.com), [n8n](https://n8n.io) etc. LLMOps platforms.
|
||||
- 🤖 Multi-platform Support: Currently supports QQ, QQ Channel, WeCom, personal WeChat, Lark, DingTalk, Discord, Telegram, KOOK, Slack, LINE, etc.
|
||||
- 💬 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: High stability, high security production-level plugin system; Support event-driven, component extension, etc. plugin mechanisms; Integrate Anthropic [MCP protocol](https://modelcontextprotocol.io/); Currently has hundreds of plugins.
|
||||
- 🧩 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.
|
||||
|
||||
For more detailed specifications, please refer to the [documentation](https://docs.langbot.app/en/insight/features.html).
|
||||
@@ -111,7 +114,6 @@ Or visit the demo environment: https://demo.langbot.dev/
|
||||
| Personal WeChat | ✅ | |
|
||||
| Lark | ✅ | |
|
||||
| DingTalk | ✅ | |
|
||||
| KOOK | ✅ | |
|
||||
|
||||
### LLMs
|
||||
|
||||
|
||||
148
README_ES.md
148
README_ES.md
@@ -1,148 +0,0 @@
|
||||
<p align="center">
|
||||
<a href="https://langbot.app">
|
||||
<img width="130" src="https://docs.langbot.app/langbot-logo.png" alt="LangBot"/>
|
||||
</a>
|
||||
|
||||
<div align="center">
|
||||
|
||||
<a href="https://www.producthunt.com/products/langbot?utm_source=badge-follow&utm_medium=badge&utm_source=badge-langbot" target="_blank"><img src="https://api.producthunt.com/widgets/embed-image/v1/follow.svg?product_id=1077185&theme=light" alt="LangBot - Production-grade IM bot made easy. | Product Hunt" style="width: 250px; height: 54px;" width="250" height="54" /></a>
|
||||
|
||||
<h3>Cree, depure y despliegue bots de mensajería instantánea rápidamente con LangBot.</h3>
|
||||
|
||||
[English](README_EN.md) / [简体中文](README.md) / [繁體中文](README_TW.md) / [日本語](README_JP.md) / Español / [Français](README_FR.md) / [한국어](README_KO.md) / [Русский](README_RU.md) / [Tiếng Việt](README_VI.md)
|
||||
|
||||
[](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">Inicio</a> ｜
|
||||
<a href="https://docs.langbot.app/en/insight/guide.html">Despliegue</a> ｜
|
||||
<a href="https://docs.langbot.app/en/plugin/plugin-intro.html">Plugin</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">Enviar Plugin</a>
|
||||
|
||||
</div>
|
||||
|
||||
</p>
|
||||
|
||||
|
||||
## 📦 Comenzar
|
||||
|
||||
#### Inicio Rápido
|
||||
|
||||
Use `uvx` para iniciar con un comando (necesita instalar [uv](https://docs.astral.sh/uv/getting-started/installation/)):
|
||||
|
||||
```bash
|
||||
uvx langbot
|
||||
```
|
||||
|
||||
Visite http://localhost:5300 para comenzar a usarlo.
|
||||
|
||||
#### Despliegue con Docker Compose
|
||||
|
||||
```bash
|
||||
git clone https://github.com/langbot-app/LangBot
|
||||
cd LangBot/docker
|
||||
docker compose up -d
|
||||
```
|
||||
|
||||
Visite http://localhost:5300 para comenzar a usarlo.
|
||||
|
||||
Documentación detallada [Despliegue con Docker](https://docs.langbot.app/en/deploy/langbot/docker.html).
|
||||
|
||||
#### Despliegue con un clic en BTPanel
|
||||
|
||||
LangBot ha sido listado en BTPanel. Si tiene BTPanel instalado, puede usar la [documentación](https://docs.langbot.app/en/deploy/langbot/one-click/bt.html) para usarlo.
|
||||
|
||||
#### Despliegue en la Nube Zeabur
|
||||
|
||||
Plantilla de Zeabur contribuida por la comunidad.
|
||||
|
||||
[](https://zeabur.com/en-US/templates/ZKTBDH)
|
||||
|
||||
#### Despliegue en la Nube Railway
|
||||
|
||||
[](https://railway.app/template/yRrAyL?referralCode=vogKPF)
|
||||
|
||||
#### Otros Métodos de Despliegue
|
||||
|
||||
Use directamente la versión publicada para ejecutar, consulte la documentación de [Despliegue Manual](https://docs.langbot.app/en/deploy/langbot/manual.html).
|
||||
|
||||
#### Despliegue en Kubernetes
|
||||
|
||||
Consulte la documentación de [Despliegue en Kubernetes](./docker/README_K8S.md).
|
||||
|
||||
## 😎 Manténgase Actualizado
|
||||
|
||||
Haga clic en los botones Star y Watch en la esquina superior derecha del repositorio para obtener las últimas actualizaciones.
|
||||
|
||||
|
||||
|
||||
## ✨ Características
|
||||
|
||||
<img width="500" src="https://docs.langbot.app/ui/bot-page-en-rounded.png" />
|
||||
|
||||
|
||||
- 💬 Chat con LLM / Agent: Compatible con múltiples LLMs, adaptado para chats grupales y privados; Admite conversaciones de múltiples rondas, llamadas a herramientas, capacidades multimodales y de salida en streaming. Implementación RAG (base de conocimientos) incorporada, e integración profunda con [Dify](https://dify.ai), [Coze](https://coze.com), [n8n](https://n8n.io) etc. LLMOps platforms.
|
||||
- 🤖 Soporte Multiplataforma: Actualmente compatible con QQ, QQ Channel, WeCom, WeChat personal, Lark, DingTalk, Discord, Telegram, KOOK, Slack, LINE, etc.
|
||||
- 🛠️ Alta Estabilidad, Rico en Funciones: Control de acceso nativo, limitación de velocidad, filtrado de palabras sensibles, etc.; Fácil de usar, admite múltiples métodos de despliegue. Compatible con múltiples configuraciones de pipeline, diferentes bots para diferentes escenarios.
|
||||
- 🧩 Extensión de Plugin, Comunidad Activa: Sistema de plugin de alta estabilidad, alta seguridad de nivel de producción; Compatible con mecanismos de plugin impulsados por eventos, extensión de componentes, etc.; Integración del protocolo [MCP](https://modelcontextprotocol.io/) de Anthropic; Actualmente cuenta con cientos de plugins.
|
||||
- 😻 Interfaz Web: Admite la gestión de instancias de LangBot a través del navegador. No es necesario escribir archivos de configuración manualmente.
|
||||
|
||||
Para especificaciones más detalladas, consulte la [documentación](https://docs.langbot.app/en/insight/features.html).
|
||||
|
||||
O visite el entorno de demostración: https://demo.langbot.dev/
|
||||
- Información de inicio de sesión: Correo electrónico: `demo@langbot.app` Contraseña: `langbot123456`
|
||||
- Nota: Solo para demostración de WebUI, por favor no ingrese información confidencial en el entorno público.
|
||||
|
||||
### Plataformas de Mensajería
|
||||
|
||||
| Plataforma | Estado | Observaciones |
|
||||
| --- | --- | --- |
|
||||
| Discord | ✅ | |
|
||||
| Telegram | ✅ | |
|
||||
| Slack | ✅ | |
|
||||
| LINE | ✅ | |
|
||||
| QQ Personal | ✅ | |
|
||||
| QQ API Oficial | ✅ | |
|
||||
| WeCom | ✅ | |
|
||||
| WeComCS | ✅ | |
|
||||
| WeCom AI Bot | ✅ | |
|
||||
| WeChat Personal | ✅ | |
|
||||
| Lark | ✅ | |
|
||||
| DingTalk | ✅ | |
|
||||
| KOOK | ✅ | |
|
||||
|
||||
### LLMs
|
||||
|
||||
| LLM | Estado | Observaciones |
|
||||
| --- | --- | --- |
|
||||
| [OpenAI](https://platform.openai.com/) | ✅ | Disponible para cualquier modelo con formato de interfaz OpenAI |
|
||||
| [DeepSeek](https://www.deepseek.com/) | ✅ | |
|
||||
| [Moonshot](https://www.moonshot.cn/) | ✅ | |
|
||||
| [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) | ✅ | Plataforma de recursos LLM y GPU |
|
||||
| [PPIO](https://ppinfra.com/user/register?invited_by=QJKFYD&utm_source=github_langbot) | ✅ | Plataforma de recursos LLM y GPU |
|
||||
| [接口 AI](https://jiekou.ai/) | ✅ | Plataforma de agregación LLM |
|
||||
| [ShengSuanYun](https://www.shengsuanyun.com/?from=CH_KYIPP758) | ✅ | Plataforma de recursos LLM y GPU |
|
||||
| [302.AI](https://share.302.ai/SuTG99) | ✅ | Gateway LLM (MaaS) |
|
||||
| [Google Gemini](https://aistudio.google.com/prompts/new_chat) | ✅ | |
|
||||
| [Dify](https://dify.ai) | ✅ | Plataforma LLMOps |
|
||||
| [Ollama](https://ollama.com/) | ✅ | Plataforma de ejecución de LLM local |
|
||||
| [LMStudio](https://lmstudio.ai/) | ✅ | Plataforma de ejecución de LLM local |
|
||||
| [GiteeAI](https://ai.gitee.com/) | ✅ | Gateway de interfaz LLM (MaaS) |
|
||||
| [SiliconFlow](https://siliconflow.cn/) | ✅ | Gateway LLM (MaaS) |
|
||||
| [Aliyun Bailian](https://bailian.console.aliyun.com/) | ✅ | Gateway LLM (MaaS), plataforma LLMOps |
|
||||
| [Volc Engine Ark](https://console.volcengine.com/ark/region:ark+cn-beijing/model?vendor=Bytedance&view=LIST_VIEW) | ✅ | Gateway LLM (MaaS), plataforma LLMOps |
|
||||
| [ModelScope](https://modelscope.cn/docs/model-service/API-Inference/intro) | ✅ | Gateway LLM (MaaS) |
|
||||
| [MCP](https://modelcontextprotocol.io/) | ✅ | Compatible con acceso a herramientas a través del protocolo MCP |
|
||||
|
||||
## 🤝 Contribución de la Comunidad
|
||||
|
||||
Gracias a los siguientes [contribuidores de código](https://github.com/langbot-app/LangBot/graphs/contributors) y otros miembros de la comunidad por sus contribuciones a LangBot:
|
||||
|
||||
<a href="https://github.com/langbot-app/LangBot/graphs/contributors">
|
||||
<img src="https://contrib.rocks/image?repo=langbot-app/LangBot" />
|
||||
</a>
|
||||
147
README_FR.md
147
README_FR.md
@@ -1,147 +0,0 @@
|
||||
<p align="center">
|
||||
<a href="https://langbot.app">
|
||||
<img width="130" src="https://docs.langbot.app/langbot-logo.png" alt="LangBot"/>
|
||||
</a>
|
||||
|
||||
<div align="center">
|
||||
|
||||
<a href="https://www.producthunt.com/products/langbot?utm_source=badge-follow&utm_medium=badge&utm_source=badge-langbot" target="_blank"><img src="https://api.producthunt.com/widgets/embed-image/v1/follow.svg?product_id=1077185&theme=light" alt="LangBot - Production-grade IM bot made easy. | Product Hunt" style="width: 250px; height: 54px;" width="250" height="54" /></a>
|
||||
|
||||
<h3>Créez, déboguez et déployez rapidement des bots de messagerie instantanée avec LangBot.</h3>
|
||||
|
||||
[English](README_EN.md) / [简体中文](README.md) / [繁體中文](README_TW.md) / [日本語](README_JP.md) / [Español](README_ES.md) / Français / [한국어](README_KO.md) / [Русский](README_RU.md) / [Tiếng Việt](README_VI.md)
|
||||
|
||||
[](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">Accueil</a> ｜
|
||||
<a href="https://docs.langbot.app/en/insight/guide.html">Déploiement</a> ｜
|
||||
<a href="https://docs.langbot.app/en/plugin/plugin-intro.html">Plugin</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">Soumettre un Plugin</a>
|
||||
|
||||
</div>
|
||||
|
||||
</p>
|
||||
|
||||
## 📦 Commencer
|
||||
|
||||
#### Démarrage Rapide
|
||||
|
||||
Utilisez `uvx` pour démarrer avec une commande (besoin d'installer [uv](https://docs.astral.sh/uv/getting-started/installation/)) :
|
||||
|
||||
```bash
|
||||
uvx langbot
|
||||
```
|
||||
|
||||
Visitez http://localhost:5300 pour commencer à l'utiliser.
|
||||
|
||||
#### Déploiement avec Docker Compose
|
||||
|
||||
```bash
|
||||
git clone https://github.com/langbot-app/LangBot
|
||||
cd LangBot/docker
|
||||
docker compose up -d
|
||||
```
|
||||
|
||||
Visitez http://localhost:5300 pour commencer à l'utiliser.
|
||||
|
||||
Documentation détaillée [Déploiement Docker](https://docs.langbot.app/en/deploy/langbot/docker.html).
|
||||
|
||||
#### Déploiement en un clic sur BTPanel
|
||||
|
||||
LangBot a été répertorié sur BTPanel. Si vous avez installé BTPanel, vous pouvez utiliser la [documentation](https://docs.langbot.app/en/deploy/langbot/one-click/bt.html) pour l'utiliser.
|
||||
|
||||
#### Déploiement Cloud Zeabur
|
||||
|
||||
Modèle Zeabur contribué par la communauté.
|
||||
|
||||
[](https://zeabur.com/en-US/templates/ZKTBDH)
|
||||
|
||||
#### Déploiement Cloud Railway
|
||||
|
||||
[](https://railway.app/template/yRrAyL?referralCode=vogKPF)
|
||||
|
||||
#### Autres Méthodes de Déploiement
|
||||
|
||||
Utilisez directement la version publiée pour exécuter, consultez la documentation de [Déploiement Manuel](https://docs.langbot.app/en/deploy/langbot/manual.html).
|
||||
|
||||
#### Déploiement Kubernetes
|
||||
|
||||
Consultez la documentation de [Déploiement Kubernetes](./docker/README_K8S.md).
|
||||
|
||||
## 😎 Restez à Jour
|
||||
|
||||
Cliquez sur les boutons Star et Watch dans le coin supérieur droit du dépôt pour obtenir les dernières mises à jour.
|
||||
|
||||
|
||||
|
||||
## ✨ Fonctionnalités
|
||||
|
||||
<img width="500" src="https://docs.langbot.app/ui/bot-page-en-rounded.png" />
|
||||
|
||||
|
||||
- 💬 Chat avec LLM / Agent : Prend en charge plusieurs LLM, adapté aux chats de groupe et privés ; Prend en charge les conversations multi-tours, les appels d'outils, les capacités multimodales et de sortie en streaming. Implémentation RAG (base de connaissances) intégrée, et intégration profonde avec [Dify](https://dify.ai), [Coze](https://coze.com), [n8n](https://n8n.io) etc. LLMOps platforms.
|
||||
- 🤖 Support Multi-plateforme : Actuellement compatible avec QQ, QQ Channel, WeCom, WeChat personnel, Lark, DingTalk, Discord, Telegram, KOOK, Slack, LINE, etc.
|
||||
- 🛠️ Haute Stabilité, Riche en Fonctionnalités : Contrôle d'accès natif, limitation de débit, filtrage de mots sensibles, etc. ; Facile à utiliser, prend en charge plusieurs méthodes de déploiement. Prend en charge plusieurs configurations de pipeline, différents bots pour différents scénarios.
|
||||
- 🧩 Extension de Plugin, Communauté Active : Système de plugin de haute stabilité, haute sécurité de niveau production; Prend en charge les mécanismes de plugin pilotés par événements, l'extension de composants, etc. ; Intégration du protocole [MCP](https://modelcontextprotocol.io/) d'Anthropic ; Dispose actuellement de centaines de plugins.
|
||||
- 😻 Interface Web : Prend en charge la gestion des instances LangBot via le navigateur. Pas besoin d'écrire manuellement les fichiers de configuration.
|
||||
|
||||
Pour des spécifications plus détaillées, veuillez consulter la [documentation](https://docs.langbot.app/en/insight/features.html).
|
||||
|
||||
Ou visitez l'environnement de démonstration : https://demo.langbot.dev/
|
||||
- Informations de connexion : Email : `demo@langbot.app` Mot de passe : `langbot123456`
|
||||
- Note : Pour la démonstration WebUI uniquement, veuillez ne pas entrer d'informations sensibles dans l'environnement public.
|
||||
|
||||
### Plateformes de Messagerie
|
||||
|
||||
| Plateforme | Statut | Remarques |
|
||||
| --- | --- | --- |
|
||||
| Discord | ✅ | |
|
||||
| Telegram | ✅ | |
|
||||
| Slack | ✅ | |
|
||||
| LINE | ✅ | |
|
||||
| QQ Personnel | ✅ | |
|
||||
| API Officielle QQ | ✅ | |
|
||||
| WeCom | ✅ | |
|
||||
| WeComCS | ✅ | |
|
||||
| WeCom AI Bot | ✅ | |
|
||||
| WeChat Personnel | ✅ | |
|
||||
| Lark | ✅ | |
|
||||
| DingTalk | ✅ | |
|
||||
| KOOK | ✅ | |
|
||||
|
||||
### LLMs
|
||||
|
||||
| LLM | Statut | Remarques |
|
||||
| --- | --- | --- |
|
||||
| [OpenAI](https://platform.openai.com/) | ✅ | Disponible pour tout modèle au format d'interface OpenAI |
|
||||
| [DeepSeek](https://www.deepseek.com/) | ✅ | |
|
||||
| [Moonshot](https://www.moonshot.cn/) | ✅ | |
|
||||
| [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) | ✅ | Plateforme de ressources LLM et GPU |
|
||||
| [PPIO](https://ppinfra.com/user/register?invited_by=QJKFYD&utm_source=github_langbot) | ✅ | Plateforme de ressources LLM et GPU |
|
||||
| [接口 AI](https://jiekou.ai/) | ✅ | Plateforme d'agrégation LLM |
|
||||
| [ShengSuanYun](https://www.shengsuanyun.com/?from=CH_KYIPP758) | ✅ | Plateforme de ressources LLM et GPU |
|
||||
| [302.AI](https://share.302.ai/SuTG99) | ✅ | Passerelle LLM (MaaS) |
|
||||
| [Google Gemini](https://aistudio.google.com/prompts/new_chat) | ✅ | |
|
||||
| [Dify](https://dify.ai) | ✅ | Plateforme LLMOps |
|
||||
| [Ollama](https://ollama.com/) | ✅ | Plateforme d'exécution LLM locale |
|
||||
| [LMStudio](https://lmstudio.ai/) | ✅ | Plateforme d'exécution LLM locale |
|
||||
| [GiteeAI](https://ai.gitee.com/) | ✅ | Passerelle d'interface LLM (MaaS) |
|
||||
| [SiliconFlow](https://siliconflow.cn/) | ✅ | Passerelle LLM (MaaS) |
|
||||
| [Aliyun Bailian](https://bailian.console.aliyun.com/) | ✅ | Passerelle LLM (MaaS), plateforme LLMOps |
|
||||
| [Volc Engine Ark](https://console.volcengine.com/ark/region:ark+cn-beijing/model?vendor=Bytedance&view=LIST_VIEW) | ✅ | Passerelle LLM (MaaS), plateforme LLMOps |
|
||||
| [ModelScope](https://modelscope.cn/docs/model-service/API-Inference/intro) | ✅ | Passerelle LLM (MaaS) |
|
||||
| [MCP](https://modelcontextprotocol.io/) | ✅ | Prend en charge l'accès aux outils via le protocole MCP |
|
||||
|
||||
## 🤝 Contribution de la Communauté
|
||||
|
||||
Merci aux [contributeurs de code](https://github.com/langbot-app/LangBot/graphs/contributors) suivants et aux autres membres de la communauté pour leurs contributions à LangBot :
|
||||
|
||||
<a href="https://github.com/langbot-app/LangBot/graphs/contributors">
|
||||
<img src="https://contrib.rocks/image?repo=langbot-app/LangBot" />
|
||||
</a>
|
||||
30
README_JP.md
30
README_JP.md
@@ -1,15 +1,11 @@
|
||||
<p align="center">
|
||||
<a href="https://langbot.app">
|
||||
<img width="130" src="https://docs.langbot.app/langbot-logo.png" alt="LangBot"/>
|
||||
<img src="https://docs.langbot.app/social_en.png" alt="LangBot"/>
|
||||
</a>
|
||||
|
||||
<div align="center">
|
||||
|
||||
<a href="https://www.producthunt.com/products/langbot?utm_source=badge-follow&utm_medium=badge&utm_source=badge-langbot" target="_blank"><img src="https://api.producthunt.com/widgets/embed-image/v1/follow.svg?product_id=1077185&theme=light" alt="LangBot - Production-grade IM bot made easy. | Product Hunt" style="width: 250px; height: 54px;" width="250" height="54" /></a>
|
||||
|
||||
<h3>LangBotでIMボットを素早く構築、デバッグ、デプロイ。</h3>
|
||||
|
||||
[English](README_EN.md) / [简体中文](README.md) / [繁體中文](README_TW.md) / 日本語 / [Español](README_ES.md) / [Français](README_FR.md) / [한국어](README_KO.md) / [Русский](README_RU.md) / [Tiếng Việt](README_VI.md)
|
||||
[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)
|
||||
@@ -25,18 +21,10 @@
|
||||
|
||||
</p>
|
||||
|
||||
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
|
||||
|
||||
#### クイックスタート
|
||||
|
||||
`uvx` を使用した迅速なデプロイ（[uv](https://docs.astral.sh/uv/getting-started/installation/) が必要です）：
|
||||
|
||||
```bash
|
||||
uvx langbot
|
||||
```
|
||||
|
||||
http://localhost:5300 にアクセスして使用を開始します。
|
||||
|
||||
#### Docker Compose デプロイ
|
||||
|
||||
```bash
|
||||
@@ -79,13 +67,10 @@ LangBotはBTPanelにリストされています。BTPanelをインストール
|
||||
|
||||
## ✨ 機能
|
||||
|
||||
<img width="500" src="https://docs.langbot.app/ui/bot-page-en-rounded.png" />
|
||||
|
||||
|
||||
- 💬 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)、[Coze](https://coze.com)、[n8n](https://n8n.io) などの LLMOps プラットフォームと深く統合。
|
||||
- 🤖 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、KOOK、Slack、LINE など、複数のプラットフォームをサポートしています。
|
||||
- 💬 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: 高い安定性、高いセキュリティの生産レベルのプラグインシステム；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。
|
||||
- 🧩 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。
|
||||
|
||||
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。
|
||||
@@ -110,7 +95,6 @@ LangBotはBTPanelにリストされています。BTPanelをインストール
|
||||
| 個人WeChat | ✅ | |
|
||||
| Lark | ✅ | |
|
||||
| DingTalk | ✅ | |
|
||||
| KOOK | ✅ | |
|
||||
|
||||
### LLMs
|
||||
|
||||
|
||||
147
README_KO.md
147
README_KO.md
@@ -1,147 +0,0 @@
|
||||
<p align="center">
|
||||
<a href="https://langbot.app">
|
||||
<img width="130" src="https://docs.langbot.app/langbot-logo.png" alt="LangBot"/>
|
||||
</a>
|
||||
|
||||
<div align="center">
|
||||
|
||||
<a href="https://www.producthunt.com/products/langbot?utm_source=badge-follow&utm_medium=badge&utm_source=badge-langbot" target="_blank"><img src="https://api.producthunt.com/widgets/embed-image/v1/follow.svg?product_id=1077185&theme=light" alt="LangBot - Production-grade IM bot made easy. | Product Hunt" style="width: 250px; height: 54px;" width="250" height="54" /></a>
|
||||
|
||||
<h3>LangBot으로 IM 봇을 빠르게 구축, 디버그 및 배포하세요.</h3>
|
||||
|
||||
[English](README_EN.md) / [简体中文](README.md) / [繁體中文](README_TW.md) / [日本語](README_JP.md) / [Español](README_ES.md) / [Français](README_FR.md) / 한국어 / [Русский](README_RU.md) / [Tiếng Việt](README_VI.md)
|
||||
|
||||
[](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">홈</a> ｜
|
||||
<a href="https://docs.langbot.app/en/insight/guide.html">배포</a> ｜
|
||||
<a href="https://docs.langbot.app/en/plugin/plugin-intro.html">플러그인</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">플러그인 제출</a>
|
||||
|
||||
</div>
|
||||
|
||||
</p>
|
||||
|
||||
## 📦 시작하기
|
||||
|
||||
#### 빠른 시작
|
||||
|
||||
`uvx`를 사용하여 한 명령으로 시작하세요 ([uv](https://docs.astral.sh/uv/getting-started/installation/) 설치 필요):
|
||||
|
||||
```bash
|
||||
uvx langbot
|
||||
```
|
||||
|
||||
http://localhost:5300을 방문하여 사용을 시작하세요.
|
||||
|
||||
#### Docker Compose 배포
|
||||
|
||||
```bash
|
||||
git clone https://github.com/langbot-app/LangBot
|
||||
cd LangBot/docker
|
||||
docker compose up -d
|
||||
```
|
||||
|
||||
http://localhost:5300을 방문하여 사용을 시작하세요.
|
||||
|
||||
자세한 문서는 [Docker 배포](https://docs.langbot.app/en/deploy/langbot/docker.html)를 참조하세요.
|
||||
|
||||
#### BTPanel 원클릭 배포
|
||||
|
||||
LangBot은 BTPanel에 등록되어 있습니다. BTPanel을 설치한 경우 [문서](https://docs.langbot.app/en/deploy/langbot/one-click/bt.html)를 사용하여 사용할 수 있습니다.
|
||||
|
||||
#### Zeabur 클라우드 배포
|
||||
|
||||
커뮤니티에서 제공하는 Zeabur 템플릿입니다.
|
||||
|
||||
[](https://zeabur.com/en-US/templates/ZKTBDH)
|
||||
|
||||
#### Railway 클라우드 배포
|
||||
|
||||
[](https://railway.app/template/yRrAyL?referralCode=vogKPF)
|
||||
|
||||
#### 기타 배포 방법
|
||||
|
||||
릴리스 버전을 직접 사용하여 실행하려면 [수동 배포](https://docs.langbot.app/en/deploy/langbot/manual.html) 문서를 참조하세요.
|
||||
|
||||
#### Kubernetes 배포
|
||||
|
||||
[Kubernetes 배포](./docker/README_K8S.md) 문서를 참조하세요.
|
||||
|
||||
## 😎 최신 정보 받기
|
||||
|
||||
리포지토리 오른쪽 상단의 Star 및 Watch 버튼을 클릭하여 최신 업데이트를 받으세요.
|
||||
|
||||
|
||||
|
||||
## ✨ 기능
|
||||
|
||||
<img width="500" src="https://docs.langbot.app/ui/bot-page-en-rounded.png" />
|
||||
|
||||
|
||||
- 💬 LLM / Agent와 채팅: 여러 LLM을 지원하며 그룹 채팅 및 개인 채팅에 적응; 멀티 라운드 대화, 도구 호출, 멀티모달, 스트리밍 출력 기능을 지원합니다. 내장된 RAG(지식 베이스) 구현 및 [Dify](https://dify.ai)、[Coze](https://coze.com)、[n8n](https://n8n.io) 등의 LLMOps 플랫폼과 깊이 통합됩니다.
|
||||
- 🤖 다중 플랫폼 지원: 현재 QQ, QQ Channel, WeCom, 개인 WeChat, Lark, DingTalk, Discord, Telegram, KOOK, Slack, LINE 등을 지원합니다.
|
||||
- 🛠️ 높은 안정성, 풍부한 기능: 네이티브 액세스 제어, 속도 제한, 민감한 단어 필터링 등의 메커니즘; 사용하기 쉽고 여러 배포 방법을 지원합니다. 여러 파이프라인 구성을 지원하며 다양한 시나리오에 대해 다른 봇을 사용할 수 있습니다.
|
||||
- 🧩 플러그인 확장, 활발한 커뮤니티: 고안정성, 고보안 생산 수준의 플러그인 시스템; 이벤트 기반, 컴포넌트 확장 등의 플러그인 메커니즘을 지원; Anthropic [MCP 프로토콜](https://modelcontextprotocol.io/) 통합; 현재 수백 개의 플러그인이 있습니다.
|
||||
- 😻 웹 UI: 브라우저를 통해 LangBot 인스턴스 관리를 지원합니다. 구성 파일을 수동으로 작성할 필요가 없습니다.
|
||||
|
||||
더 자세한 사양은 [문서](https://docs.langbot.app/en/insight/features.html)를 참조하세요.
|
||||
|
||||
또는 데모 환경을 방문하세요: https://demo.langbot.dev/
|
||||
- 로그인 정보: 이메일: `demo@langbot.app` 비밀번호: `langbot123456`
|
||||
- 참고: WebUI 데모 전용이므로 공개 환경에서는 민감한 정보를 입력하지 마세요.
|
||||
|
||||
### 메시징 플랫폼
|
||||
|
||||
| 플랫폼 | 상태 | 비고 |
|
||||
| --- | --- | --- |
|
||||
| Discord | ✅ | |
|
||||
| Telegram | ✅ | |
|
||||
| Slack | ✅ | |
|
||||
| LINE | ✅ | |
|
||||
| 개인 QQ | ✅ | |
|
||||
| QQ 공식 API | ✅ | |
|
||||
| WeCom | ✅ | |
|
||||
| WeComCS | ✅ | |
|
||||
| WeCom AI Bot | ✅ | |
|
||||
| 개인 WeChat | ✅ | |
|
||||
| KOOK | ✅ | |
|
||||
| Lark | ✅ | |
|
||||
| DingTalk | ✅ | |
|
||||
|
||||
### LLMs
|
||||
|
||||
| LLM | 상태 | 비고 |
|
||||
| --- | --- | --- |
|
||||
| [OpenAI](https://platform.openai.com/) | ✅ | 모든 OpenAI 인터페이스 형식 모델에 사용 가능 |
|
||||
| [DeepSeek](https://www.deepseek.com/) | ✅ | |
|
||||
| [Moonshot](https://www.moonshot.cn/) | ✅ | |
|
||||
| [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 및 GPU 리소스 플랫폼 |
|
||||
| [PPIO](https://ppinfra.com/user/register?invited_by=QJKFYD&utm_source=github_langbot) | ✅ | LLM 및 GPU 리소스 플랫폼 |
|
||||
| [接口 AI](https://jiekou.ai/) | ✅ | LLM 집계 플랫폼 |
|
||||
| [ShengSuanYun](https://www.shengsuanyun.com/?from=CH_KYIPP758) | ✅ | LLM 및 GPU 리소스 플랫폼 |
|
||||
| [302.AI](https://share.302.ai/SuTG99) | ✅ | LLM 게이트웨이(MaaS) |
|
||||
| [Google Gemini](https://aistudio.google.com/prompts/new_chat) | ✅ | |
|
||||
| [Dify](https://dify.ai) | ✅ | LLMOps 플랫폼 |
|
||||
| [Ollama](https://ollama.com/) | ✅ | 로컬 LLM 실행 플랫폼 |
|
||||
| [LMStudio](https://lmstudio.ai/) | ✅ | 로컬 LLM 실행 플랫폼 |
|
||||
| [GiteeAI](https://ai.gitee.com/) | ✅ | LLM 인터페이스 게이트웨이(MaaS) |
|
||||
| [SiliconFlow](https://siliconflow.cn/) | ✅ | LLM 게이트웨이(MaaS) |
|
||||
| [Aliyun Bailian](https://bailian.console.aliyun.com/) | ✅ | LLM 게이트웨이(MaaS), LLMOps 플랫폼 |
|
||||
| [Volc Engine Ark](https://console.volcengine.com/ark/region:ark+cn-beijing/model?vendor=Bytedance&view=LIST_VIEW) | ✅ | LLM 게이트웨이(MaaS), LLMOps 플랫폼 |
|
||||
| [ModelScope](https://modelscope.cn/docs/model-service/API-Inference/intro) | ✅ | LLM 게이트웨이(MaaS) |
|
||||
| [MCP](https://modelcontextprotocol.io/) | ✅ | MCP 프로토콜을 통한 도구 액세스 지원 |
|
||||
|
||||
## 🤝 커뮤니티 기여
|
||||
|
||||
다음 [코드 기여자](https://github.com/langbot-app/LangBot/graphs/contributors) 및 커뮤니티의 다른 구성원들의 LangBot 기여에 감사드립니다:
|
||||
|
||||
<a href="https://github.com/langbot-app/LangBot/graphs/contributors">
|
||||
<img src="https://contrib.rocks/image?repo=langbot-app/LangBot" />
|
||||
</a>
|
||||
147
README_RU.md
147
README_RU.md
@@ -1,147 +0,0 @@
|
||||
<p align="center">
|
||||
<a href="https://langbot.app">
|
||||
<img width="130" src="https://docs.langbot.app/langbot-logo.png" alt="LangBot"/>
|
||||
</a>
|
||||
|
||||
<div align="center">
|
||||
|
||||
<a href="https://www.producthunt.com/products/langbot?utm_source=badge-follow&utm_medium=badge&utm_source=badge-langbot" target="_blank"><img src="https://api.producthunt.com/widgets/embed-image/v1/follow.svg?product_id=1077185&theme=light" alt="LangBot - Production-grade IM bot made easy. | Product Hunt" style="width: 250px; height: 54px;" width="250" height="54" /></a>
|
||||
|
||||
<h3>Быстро создавайте, отлаживайте и развертывайте IM-ботов с LangBot.</h3>
|
||||
|
||||
[English](README_EN.md) / [简体中文](README.md) / [繁體中文](README_TW.md) / [日本語](README_JP.md) / [Español](README_ES.md) / [Français](README_FR.md) / [한국어](README_KO.md) / Русский / [Tiếng Việt](README_VI.md)
|
||||
|
||||
[](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">Главная</a> ｜
|
||||
<a href="https://docs.langbot.app/en/insight/guide.html">Развертывание</a> ｜
|
||||
<a href="https://docs.langbot.app/en/plugin/plugin-intro.html">Плагин</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">Отправить плагин</a>
|
||||
|
||||
</div>
|
||||
|
||||
</p>
|
||||
|
||||
## 📦 Начало работы
|
||||
|
||||
#### Быстрый старт
|
||||
|
||||
Используйте `uvx` для запуска одной командой (требуется установка [uv](https://docs.astral.sh/uv/getting-started/installation/)):
|
||||
|
||||
```bash
|
||||
uvx langbot
|
||||
```
|
||||
|
||||
Посетите http://localhost:5300, чтобы начать использование.
|
||||
|
||||
#### Развертывание с Docker Compose
|
||||
|
||||
```bash
|
||||
git clone https://github.com/langbot-app/LangBot
|
||||
cd LangBot/docker
|
||||
docker compose up -d
|
||||
```
|
||||
|
||||
Посетите http://localhost:5300, чтобы начать использование.
|
||||
|
||||
Подробная документация [Развертывание Docker](https://docs.langbot.app/en/deploy/langbot/docker.html).
|
||||
|
||||
#### Развертывание одним кликом на BTPanel
|
||||
|
||||
LangBot добавлен в BTPanel. Если у вас установлен BTPanel, вы можете использовать [документацию](https://docs.langbot.app/en/deploy/langbot/one-click/bt.html) для его использования.
|
||||
|
||||
#### Облачное развертывание Zeabur
|
||||
|
||||
Шаблон Zeabur, предоставленный сообществом.
|
||||
|
||||
[](https://zeabur.com/en-US/templates/ZKTBDH)
|
||||
|
||||
#### Облачное развертывание Railway
|
||||
|
||||
[](https://railway.app/template/yRrAyL?referralCode=vogKPF)
|
||||
|
||||
#### Другие методы развертывания
|
||||
|
||||
Используйте выпущенную версию напрямую для запуска, см. документацию [Ручное развертывание](https://docs.langbot.app/en/deploy/langbot/manual.html).
|
||||
|
||||
#### Развертывание Kubernetes
|
||||
|
||||
См. документацию [Развертывание Kubernetes](./docker/README_K8S.md).
|
||||
|
||||
## 😎 Оставайтесь в курсе
|
||||
|
||||
Нажмите кнопки Star и Watch в правом верхнем углу репозитория, чтобы получать последние обновления.
|
||||
|
||||
|
||||
|
||||
## ✨ Функции
|
||||
|
||||
<img width="500" src="https://docs.langbot.app/ui/bot-page-en-rounded.png" />
|
||||
|
||||
|
||||
- 💬 Чат с LLM / Agent: Поддержка нескольких LLM, адаптация к групповым и личным чатам; Поддержка многораундовых разговоров, вызовов инструментов, мультимодальных возможностей и потоковой передачи. Встроенная реализация RAG (база знаний) и глубокая интеграция с [Dify](https://dify.ai), [Coze](https://coze.com), [n8n](https://n8n.io) 등의 LLMOps 플랫포트폼과 깊이 통합됩니다.
|
||||
- 🤖 Многоплатформенная поддержка: В настоящее время поддерживает QQ, QQ Channel, WeCom, личный WeChat, Lark, DingTalk, Discord, Telegram, KOOK, Slack, LINE и т.д.
|
||||
- 🛠️ Высокая стабильность, богатство функций: Нативный контроль доступа, ограничение скорости, фильтрация чувствительных слов и т.д.; Простота в использовании, поддержка нескольких методов развертывания. Поддержка нескольких конфигураций конвейера, разные боты для разных сценариев.
|
||||
- 🧩 Расширение плагинов, активное сообщество: Высокая стабильность, высокая безопасность уровня производства; Поддержка механизмов плагинов, управляемых событиями, расширения компонентов и т.д.; Интеграция протокола [MCP](https://modelcontextprotocol.io/) от Anthropic; В настоящее время сотни плагинов.
|
||||
- 😻 Веб-интерфейс: Поддержка управления экземплярами LangBot через браузер. Нет необходимости вручную писать конфигурационные файлы.
|
||||
|
||||
Для более подробных спецификаций обратитесь к [документации](https://docs.langbot.app/en/insight/features.html).
|
||||
|
||||
Или посетите демонстрационную среду: https://demo.langbot.dev/
|
||||
- Информация для входа: Email: `demo@langbot.app` Пароль: `langbot123456`
|
||||
- Примечание: Только для демонстрации WebUI, пожалуйста, не вводите конфиденциальную информацию в общедоступной среде.
|
||||
|
||||
### Платформы обмена сообщениями
|
||||
|
||||
| Платформа | Статус | Примечания |
|
||||
| --- | --- | --- |
|
||||
| Discord | ✅ | |
|
||||
| Telegram | ✅ | |
|
||||
| Slack | ✅ | |
|
||||
| LINE | ✅ | |
|
||||
| Личный QQ | ✅ | |
|
||||
| Официальный API QQ | ✅ | |
|
||||
| WeCom | ✅ | |
|
||||
| WeComCS | ✅ | |
|
||||
| WeCom AI Bot | ✅ | |
|
||||
| Личный WeChat | ✅ | |
|
||||
| KOOK | ✅ | |
|
||||
| Lark | ✅ | |
|
||||
| DingTalk | ✅ | |
|
||||
|
||||
### LLMs
|
||||
|
||||
| LLM | Статус | Примечания |
|
||||
| --- | --- | --- |
|
||||
| [OpenAI](https://platform.openai.com/) | ✅ | Доступна для любой модели формата интерфейса OpenAI |
|
||||
| [DeepSeek](https://www.deepseek.com/) | ✅ | |
|
||||
| [Moonshot](https://www.moonshot.cn/) | ✅ | |
|
||||
| [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) | ✅ | Платформа ресурсов LLM и GPU |
|
||||
| [PPIO](https://ppinfra.com/user/register?invited_by=QJKFYD&utm_source=github_langbot) | ✅ | Платформа ресурсов LLM и GPU |
|
||||
| [接口 AI](https://jiekou.ai/) | ✅ | Платформа агрегации LLM |
|
||||
| [ShengSuanYun](https://www.shengsuanyun.com/?from=CH_KYIPP758) | ✅ | Платформа ресурсов LLM и GPU |
|
||||
| [302.AI](https://share.302.ai/SuTG99) | ✅ | Шлюз LLM (MaaS) |
|
||||
| [Google Gemini](https://aistudio.google.com/prompts/new_chat) | ✅ | |
|
||||
| [Dify](https://dify.ai) | ✅ | Платформа LLMOps |
|
||||
| [Ollama](https://ollama.com/) | ✅ | Платформа локального запуска LLM |
|
||||
| [LMStudio](https://lmstudio.ai/) | ✅ | Платформа локального запуска LLM |
|
||||
| [GiteeAI](https://ai.gitee.com/) | ✅ | Шлюз интерфейса LLM (MaaS) |
|
||||
| [SiliconFlow](https://siliconflow.cn/) | ✅ | Шлюз LLM (MaaS) |
|
||||
| [Aliyun Bailian](https://bailian.console.aliyun.com/) | ✅ | Шлюз LLM (MaaS), платформа LLMOps |
|
||||
| [Volc Engine Ark](https://console.volcengine.com/ark/region:ark+cn-beijing/model?vendor=Bytedance&view=LIST_VIEW) | ✅ | Шлюз LLM (MaaS), платформа LLMOps |
|
||||
| [ModelScope](https://modelscope.cn/docs/model-service/API-Inference/intro) | ✅ | Шлюз LLM (MaaS) |
|
||||
| [MCP](https://modelcontextprotocol.io/) | ✅ | Поддержка доступа к инструментам через протокол MCP |
|
||||
|
||||
## 🤝 Вклад сообщества
|
||||
|
||||
Спасибо следующим [контрибьюторам кода](https://github.com/langbot-app/LangBot/graphs/contributors) и другим членам сообщества за их вклад в LangBot:
|
||||
|
||||
<a href="https://github.com/langbot-app/LangBot/graphs/contributors">
|
||||
<img src="https://contrib.rocks/image?repo=langbot-app/LangBot" />
|
||||
</a>
|
||||
28
README_TW.md
28
README_TW.md
@@ -1,13 +1,11 @@
|
||||
<p align="center">
|
||||
<a href="https://langbot.app">
|
||||
<img width="130" src="https://docs.langbot.app/langbot-logo.png" alt="LangBot"/>
|
||||
<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>
|
||||
|
||||
<h3>使用 LangBot 快速建構、除錯和部署 IM 機器人。</h3>
|
||||
|
||||
[English](README_EN.md) / [简体中文](README.md) / 繁體中文 / [日本語](README_JP.md) / [Español](README_ES.md) / [Français](README_FR.md) / [한국어](README_KO.md) / [Русский](README_RU.md) / [Tiếng Việt](README_VI.md)
|
||||
[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)
|
||||
@@ -25,18 +23,10 @@
|
||||
|
||||
</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
|
||||
|
||||
#### 快速部署
|
||||
|
||||
使用 `uvx` 一鍵啟動（需要先安裝 [uv](https://docs.astral.sh/uv/getting-started/installation/) ）：
|
||||
|
||||
```bash
|
||||
uvx langbot
|
||||
```
|
||||
|
||||
訪問 http://localhost:5300 即可開始使用。
|
||||
|
||||
#### Docker Compose 部署
|
||||
|
||||
```bash
|
||||
@@ -79,13 +69,10 @@ docker compose up -d
|
||||
|
||||
## ✨ 特性
|
||||
|
||||
<img width="500" src="https://docs.langbot.app/ui/bot-page-en-rounded.png" />
|
||||
|
||||
|
||||
- 💬 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)、[Coze](https://coze.com)、[n8n](https://n8n.io) 等 LLMOps 平台。
|
||||
- 🤖 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、KOOK、Slack、LINE 等平台。
|
||||
- 💬 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：高穩定性、高安全性的生產級外掛系統；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。
|
||||
- 🧩 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)。
|
||||
@@ -108,7 +95,6 @@ docker compose up -d
|
||||
| 企微對外客服 | ✅ | |
|
||||
| 企微智能機器人 | ✅ | |
|
||||
| 微信公眾號 | ✅ | |
|
||||
| KOOK | ✅ | |
|
||||
| Lark | ✅ | |
|
||||
| DingTalk | ✅ | |
|
||||
|
||||
|
||||
147
README_VI.md
147
README_VI.md
@@ -1,147 +0,0 @@
|
||||
<p align="center">
|
||||
<a href="https://langbot.app">
|
||||
<img width="130" src="https://docs.langbot.app/langbot-logo.png" alt="LangBot"/>
|
||||
</a>
|
||||
|
||||
<div align="center">
|
||||
|
||||
<a href="https://www.producthunt.com/products/langbot?utm_source=badge-follow&utm_medium=badge&utm_source=badge-langbot" target="_blank"><img src="https://api.producthunt.com/widgets/embed-image/v1/follow.svg?product_id=1077185&theme=light" alt="LangBot - Production-grade IM bot made easy. | Product Hunt" style="width: 250px; height: 54px;" width="250" height="54" /></a>
|
||||
|
||||
<h3>Xây dựng, gỡ lỗi và triển khai bot IM nhanh chóng với LangBot.</h3>
|
||||
|
||||
[English](README_EN.md) / [简体中文](README.md) / [繁體中文](README_TW.md) / [日本語](README_JP.md) / [Español](README_ES.md) / [Français](README_FR.md) / [한국어](README_KO.md) / [Русский](README_RU.md) / Tiếng Việt
|
||||
|
||||
[](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">Trang chủ</a> ｜
|
||||
<a href="https://docs.langbot.app/en/insight/guide.html">Triển khai</a> ｜
|
||||
<a href="https://docs.langbot.app/en/plugin/plugin-intro.html">Plugin</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">Gửi Plugin</a>
|
||||
|
||||
</div>
|
||||
|
||||
</p>
|
||||
|
||||
## 📦 Bắt đầu
|
||||
|
||||
#### Khởi động Nhanh
|
||||
|
||||
Sử dụng `uvx` để khởi động bằng một lệnh (cần cài đặt [uv](https://docs.astral.sh/uv/getting-started/installation/)):
|
||||
|
||||
```bash
|
||||
uvx langbot
|
||||
```
|
||||
|
||||
Truy cập http://localhost:5300 để bắt đầu sử dụng.
|
||||
|
||||
#### Triển khai Docker Compose
|
||||
|
||||
```bash
|
||||
git clone https://github.com/langbot-app/LangBot
|
||||
cd LangBot/docker
|
||||
docker compose up -d
|
||||
```
|
||||
|
||||
Truy cập http://localhost:5300 để bắt đầu sử dụng.
|
||||
|
||||
Tài liệu chi tiết [Triển khai Docker](https://docs.langbot.app/en/deploy/langbot/docker.html).
|
||||
|
||||
#### Triển khai Một cú nhấp chuột trên BTPanel
|
||||
|
||||
LangBot đã được liệt kê trên BTPanel. Nếu bạn đã cài đặt BTPanel, bạn có thể sử dụng [tài liệu](https://docs.langbot.app/en/deploy/langbot/one-click/bt.html) để sử dụng nó.
|
||||
|
||||
#### Triển khai Cloud Zeabur
|
||||
|
||||
Mẫu Zeabur được đóng góp bởi cộng đồng.
|
||||
|
||||
[](https://zeabur.com/en-US/templates/ZKTBDH)
|
||||
|
||||
#### Triển khai Cloud Railway
|
||||
|
||||
[](https://railway.app/template/yRrAyL?referralCode=vogKPF)
|
||||
|
||||
#### Các Phương pháp Triển khai Khác
|
||||
|
||||
Sử dụng trực tiếp phiên bản phát hành để chạy, xem tài liệu [Triển khai Thủ công](https://docs.langbot.app/en/deploy/langbot/manual.html).
|
||||
|
||||
#### Triển khai Kubernetes
|
||||
|
||||
Tham khảo tài liệu [Triển khai Kubernetes](./docker/README_K8S.md).
|
||||
|
||||
## 😎 Cập nhật Mới nhất
|
||||
|
||||
Nhấp vào các nút Star và Watch ở góc trên bên phải của kho lưu trữ để nhận các bản cập nhật mới nhất.
|
||||
|
||||
|
||||
|
||||
## ✨ Tính năng
|
||||
|
||||
<img width="500" src="https://docs.langbot.app/ui/bot-page-en-rounded.png" />
|
||||
|
||||
|
||||
- 💬 Chat với LLM / Agent: Hỗ trợ nhiều LLM, thích ứng với chat nhóm và chat riêng tư; Hỗ trợ các cuộc trò chuyện nhiều vòng, gọi công cụ, khả năng đa phương thức và đầu ra streaming. Triển khai RAG (cơ sở kiến thức) tích hợp sẵn và tích hợp sâu với [Dify](https://dify.ai), [Coze](https://coze.com), [n8n](https://n8n.io) v.v. LLMOps platforms.
|
||||
- 🤖 Hỗ trợ Đa nền tảng: Hiện hỗ trợ QQ, QQ Channel, WeCom, WeChat cá nhân, Lark, DingTalk, Discord, Telegram, KOOK, Slack, LINE, v.v.
|
||||
- 🛠️ Độ ổn định Cao, Tính năng Phong phú: Kiểm soát truy cập gốc, giới hạn tốc độ, lọc từ nhạy cảm, v.v.; Dễ sử dụng, hỗ trợ nhiều phương pháp triển khai. Hỗ trợ nhiều cấu hình pipeline, các bot khác nhau cho các kịch bản khác nhau.
|
||||
- 🧩 Mở rộng Plugin, Cộng đồng Hoạt động: Hỗ trợ các cơ chế plugin hướng sự kiện, mở rộng thành phần, v.v.; Tích hợp giao thức [MCP](https://modelcontextprotocol.io/) của Anthropic; Hiện có hàng trăng plugin.
|
||||
- 😻 Giao diện Web: Hỗ trợ quản lý các phiên bản LangBot thông qua trình duyệt. Không cần viết tệp cấu hình thủ công.
|
||||
|
||||
Để biết thêm thông số kỹ thuật chi tiết, vui lòng tham khảo [tài liệu](https://docs.langbot.app/en/insight/features.html).
|
||||
|
||||
Hoặc truy cập môi trường demo: https://demo.langbot.dev/
|
||||
- Thông tin đăng nhập: Email: `demo@langbot.app` Mật khẩu: `langbot123456`
|
||||
- Lưu ý: Chỉ dành cho demo WebUI, vui lòng không nhập bất kỳ thông tin nhạy cảm nào trong môi trường công cộng.
|
||||
|
||||
### Nền tảng Nhắn tin
|
||||
|
||||
| Nền tảng | Trạng thái | Ghi chú |
|
||||
| --- | --- | --- |
|
||||
| Discord | ✅ | |
|
||||
| Telegram | ✅ | |
|
||||
| Slack | ✅ | |
|
||||
| LINE | ✅ | |
|
||||
| QQ Cá nhân | ✅ | |
|
||||
| QQ API Chính thức | ✅ | |
|
||||
| WeCom | ✅ | |
|
||||
| WeComCS | ✅ | |
|
||||
| WeCom AI Bot | ✅ | |
|
||||
| WeChat Cá nhân | ✅ | |
|
||||
| KOOK | ✅ | |
|
||||
| Lark | ✅ | |
|
||||
| DingTalk | ✅ | |
|
||||
|
||||
### LLMs
|
||||
|
||||
| LLM | Trạng thái | Ghi chú |
|
||||
| --- | --- | --- |
|
||||
| [OpenAI](https://platform.openai.com/) | ✅ | Có sẵn cho bất kỳ mô hình định dạng giao diện OpenAI nào |
|
||||
| [DeepSeek](https://www.deepseek.com/) | ✅ | |
|
||||
| [Moonshot](https://www.moonshot.cn/) | ✅ | |
|
||||
| [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) | ✅ | Nền tảng tài nguyên LLM và GPU |
|
||||
| [PPIO](https://ppinfra.com/user/register?invited_by=QJKFYD&utm_source=github_langbot) | ✅ | Nền tảng tài nguyên LLM và GPU |
|
||||
| [接口 AI](https://jiekou.ai/) | ✅ | Nền tảng tổng hợp LLM |
|
||||
| [ShengSuanYun](https://www.shengsuanyun.com/?from=CH_KYIPP758) | ✅ | Nền tảng tài nguyên LLM và GPU |
|
||||
| [302.AI](https://share.302.ai/SuTG99) | ✅ | Cổng LLM (MaaS) |
|
||||
| [Google Gemini](https://aistudio.google.com/prompts/new_chat) | ✅ | |
|
||||
| [Dify](https://dify.ai) | ✅ | Nền tảng LLMOps |
|
||||
| [Ollama](https://ollama.com/) | ✅ | Nền tảng chạy LLM cục bộ |
|
||||
| [LMStudio](https://lmstudio.ai/) | ✅ | Nền tảng chạy LLM cục bộ |
|
||||
| [GiteeAI](https://ai.gitee.com/) | ✅ | Cổng giao diện LLM (MaaS) |
|
||||
| [SiliconFlow](https://siliconflow.cn/) | ✅ | Cổng LLM (MaaS) |
|
||||
| [Aliyun Bailian](https://bailian.console.aliyun.com/) | ✅ | Cổng LLM (MaaS), nền tảng LLMOps |
|
||||
| [Volc Engine Ark](https://console.volcengine.com/ark/region:ark+cn-beijing/model?vendor=Bytedance&view=LIST_VIEW) | ✅ | Cổng LLM (MaaS), nền tảng LLMOps |
|
||||
| [ModelScope](https://modelscope.cn/docs/model-service/API-Inference/intro) | ✅ | Cổng LLM (MaaS) |
|
||||
| [MCP](https://modelcontextprotocol.io/) | ✅ | Hỗ trợ truy cập công cụ qua giao thức MCP |
|
||||
|
||||
## 🤝 Đóng góp Cộng đồng
|
||||
|
||||
Cảm ơn các [người đóng góp mã](https://github.com/langbot-app/LangBot/graphs/contributors) sau đây và các thành viên khác trong cộng đồng vì những đóng góp của họ cho LangBot:
|
||||
|
||||
<a href="https://github.com/langbot-app/LangBot/graphs/contributors">
|
||||
<img src="https://contrib.rocks/image?repo=langbot-app/LangBot" />
|
||||
</a>
|
||||
@@ -23,12 +23,13 @@ services:
|
||||
container_name: langbot
|
||||
volumes:
|
||||
- ./data:/app/data
|
||||
- ./plugins:/app/plugins
|
||||
restart: on-failure
|
||||
environment:
|
||||
- TZ=Asia/Shanghai
|
||||
ports:
|
||||
- 5300:5300 # For web ui and webhook callback
|
||||
- 2280-2285:2280-2285 # For platform reverse connection
|
||||
- 5300:5300 # For web ui
|
||||
- 2280-2290:2280-2290 # For platform webhook
|
||||
networks:
|
||||
- langbot_network
|
||||
|
||||
|
||||
@@ -1,412 +0,0 @@
|
||||
# WebChat 到 WebSocket 迁移总结
|
||||
|
||||
## 概述
|
||||
|
||||
已完全移除旧的基于SSE的WebChat系统，并替换为基于WebSocket的双向实时通信系统。这是一个内置在LangBot中的完整IM系统，支持流式输出。
|
||||
|
||||
## 已删除的文件
|
||||
|
||||
### 后端
|
||||
- ❌ `src/langbot/pkg/api/http/controller/groups/pipelines/webchat.py` - 旧的SSE路由
|
||||
- ❌ `src/langbot/pkg/platform/sources/webchat.py` - 旧的WebChat适配器
|
||||
- ❌ `src/langbot/pkg/platform/sources/webchat.yaml` - 旧的配置文件
|
||||
|
||||
### 前端
|
||||
- ❌ BackendClient中所有SSE相关代码已完全移除
|
||||
- ❌ DebugDialog中所有SSE相关逻辑已完全替换
|
||||
|
||||
## 新增的文件
|
||||
|
||||
### 后端核心文件
|
||||
|
||||
**1. WebSocket连接管理器**
|
||||
```
|
||||
src/langbot/pkg/platform/sources/websocket_manager.py
|
||||
```
|
||||
- 管理所有并发WebSocket连接
|
||||
- 线程安全的连接池
|
||||
- 按流水线、会话类型分组
|
||||
- 广播和单播消息功能
|
||||
- 连接统计和监控
|
||||
|
||||
**2. WebSocket适配器**
|
||||
```
|
||||
src/langbot/pkg/platform/sources/websocket_adapter.py
|
||||
```
|
||||
- 实现平台适配器接口
|
||||
- **完整流式支持** (`reply_message_chunk` 方法)
|
||||
- 双向消息流处理
|
||||
- 消息历史管理
|
||||
- 会话管理
|
||||
|
||||
**3. WebSocket路由控制器**
|
||||
```
|
||||
src/langbot/pkg/api/http/controller/groups/pipelines/websocket_chat.py
|
||||
```
|
||||
- WebSocket端点处理
|
||||
- REST API接口
|
||||
- 心跳机制
|
||||
- 连接生命周期管理
|
||||
|
||||
**4. 配置文件**
|
||||
```
|
||||
src/langbot/pkg/platform/sources/websocket.yaml
|
||||
```
|
||||
- WebSocket适配器元数据
|
||||
|
||||
### 前端核心文件
|
||||
|
||||
**1. WebSocket客户端**
|
||||
```
|
||||
web/src/app/infra/websocket/WebSocketClient.ts
|
||||
```
|
||||
- WebSocket连接管理
|
||||
- 自动重连（最多5次）
|
||||
- 心跳机制（30秒）
|
||||
- 事件回调系统
|
||||
|
||||
**2. 更新的组件**
|
||||
```
|
||||
web/src/app/home/pipelines/components/debug-dialog/DebugDialog.tsx
|
||||
```
|
||||
- 完全重写，使用WebSocket
|
||||
- 实时连接状态显示
|
||||
- 流式消息支持
|
||||
- 自动重连
|
||||
|
||||
**3. HTTP客户端更新**
|
||||
```
|
||||
web/src/app/infra/http/BackendClient.ts
|
||||
```
|
||||
- 移除所有旧的WebChat API
|
||||
- 仅保留WebSocket API
|
||||
|
||||
### 测试工具
|
||||
|
||||
**Python测试客户端**
|
||||
```
|
||||
test_websocket_client.py
|
||||
```
|
||||
- 单连接交互测试
|
||||
- 多连接并发测试
|
||||
- 命令行工具
|
||||
|
||||
### 文档
|
||||
|
||||
**使用文档**
|
||||
```
|
||||
WEBSOCKET_README.md
|
||||
```
|
||||
- 完整的API文档
|
||||
- 架构说明
|
||||
- 使用示例
|
||||
- 故障排查
|
||||
|
||||
## 核心变更
|
||||
|
||||
### 后端变更
|
||||
|
||||
**1. botmgr.py**
|
||||
- ❌ 移除 `webchat_proxy_bot`
|
||||
- ✅ 仅保留 `websocket_proxy_bot`
|
||||
- ✅ 更新适配器过滤逻辑（排除`websocket`而非`webchat`）
|
||||
|
||||
**2. 适配器注册**
|
||||
```python
|
||||
# 旧代码（已删除）
|
||||
webchat_adapter_class = self.adapter_dict['webchat']
|
||||
self.webchat_proxy_bot = RuntimeBot(...)
|
||||
|
||||
# 新代码
|
||||
websocket_adapter_class = self.adapter_dict['websocket']
|
||||
self.websocket_proxy_bot = RuntimeBot(
|
||||
uuid='websocket-proxy-bot',
|
||||
name='WebSocket',
|
||||
adapter='websocket',
|
||||
...
|
||||
)
|
||||
```
|
||||
|
||||
### 前端变更
|
||||
|
||||
**1. API调用完全更换**
|
||||
|
||||
旧代码（已删除）:
|
||||
```typescript
|
||||
// SSE流式请求
|
||||
await fetch(url, {
|
||||
method: 'POST',
|
||||
body: JSON.stringify({ is_stream: true })
|
||||
})
|
||||
// 手动解析 text/event-stream
|
||||
```
|
||||
|
||||
新代码:
|
||||
```typescript
|
||||
// WebSocket实时通信
|
||||
const wsClient = new WebSocketClient(pipelineId, sessionType);
|
||||
await wsClient.connect();
|
||||
|
||||
wsClient.onMessage((message) => {
|
||||
// 流式消息自动处理
|
||||
setMessages(prev => [...prev, message]);
|
||||
});
|
||||
|
||||
wsClient.sendMessage(messageChain);
|
||||
```
|
||||
|
||||
**2. 连接状态管理**
|
||||
|
||||
新增功能:
|
||||
- ✅ 实时连接状态指示器（绿色/红色圆点）
|
||||
- ✅ 连接/断开toast提示
|
||||
- ✅ 自动重连逻辑
|
||||
- ✅ 心跳保活
|
||||
|
||||
**3. 流式支持**
|
||||
|
||||
完整的流式消息处理:
|
||||
```typescript
|
||||
wsClient.onMessage((message) => {
|
||||
if (message.is_final) {
|
||||
// 最终消息
|
||||
finalizeBotMessage(message);
|
||||
} else {
|
||||
// 中间消息块，实时更新UI
|
||||
updateBotMessage(message);
|
||||
}
|
||||
});
|
||||
```
|
||||
|
||||
## API对比
|
||||
|
||||
### WebSocket端点
|
||||
|
||||
**连接**
|
||||
```
|
||||
ws://localhost:8000/api/v1/pipelines/<pipeline_uuid>/ws/connect?session_type=<person|group>
|
||||
```
|
||||
|
||||
**消息格式**
|
||||
|
||||
客户端发送:
|
||||
```json
|
||||
{
|
||||
"type": "message",
|
||||
"message": [
|
||||
{"type": "Plain", "text": "你好"}
|
||||
]
|
||||
}
|
||||
```
|
||||
|
||||
服务器响应（流式）:
|
||||
```json
|
||||
{
|
||||
"type": "response",
|
||||
"data": {
|
||||
"id": 1,
|
||||
"role": "assistant",
|
||||
"content": "你好，我是...",
|
||||
"is_final": false,
|
||||
"timestamp": "2025-01-28T..."
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
### REST API
|
||||
|
||||
| 端点 | 方法 | 说明 |
|
||||
|------|------|------|
|
||||
| `/api/v1/pipelines/<uuid>/ws/messages/<type>` | GET | 获取消息历史 |
|
||||
| `/api/v1/pipelines/<uuid>/ws/reset/<type>` | POST | 重置会话 |
|
||||
| `/api/v1/pipelines/<uuid>/ws/connections` | GET | 获取连接统计 |
|
||||
| `/api/v1/pipelines/<uuid>/ws/broadcast` | POST | 广播消息 |
|
||||
|
||||
## 流式支持详解
|
||||
|
||||
### 后端流式实现
|
||||
|
||||
**WebSocket Adapter**
|
||||
```python
|
||||
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:
|
||||
"""回复消息块 - 流式"""
|
||||
message_data = WebSocketMessage(
|
||||
id=-1,
|
||||
role='assistant',
|
||||
content=str(message),
|
||||
message_chain=[component.__dict__ for component in message],
|
||||
timestamp=datetime.now().isoformat(),
|
||||
is_final=is_final and bot_message.tool_calls is None,
|
||||
)
|
||||
|
||||
# 发送到队列，由WebSocket连接处理发送
|
||||
await session.resp_queues[message_id].put(message_data)
|
||||
return message_data.model_dump()
|
||||
|
||||
async def is_stream_output_supported(self) -> bool:
|
||||
"""WebSocket始终支持流式输出"""
|
||||
return True
|
||||
```
|
||||
|
||||
### 前端流式处理
|
||||
|
||||
**DebugDialog组件**
|
||||
```typescript
|
||||
wsClient.onMessage((message) => {
|
||||
setMessages((prevMessages) => {
|
||||
const existingIndex = prevMessages.findIndex(
|
||||
(msg) => msg.role === 'assistant' && msg.content === 'Generating...'
|
||||
);
|
||||
|
||||
if (existingIndex !== -1) {
|
||||
// 更新正在生成的消息
|
||||
const updatedMessages = [...prevMessages];
|
||||
updatedMessages[existingIndex] = message;
|
||||
return updatedMessages;
|
||||
} else {
|
||||
// 添加新消息
|
||||
return [...prevMessages, message];
|
||||
}
|
||||
});
|
||||
});
|
||||
```
|
||||
|
||||
## 兼容性说明
|
||||
|
||||
### ⚠️ 不兼容旧版本
|
||||
|
||||
此次迁移**完全不兼容**旧的WebChat系统：
|
||||
|
||||
1. **API端点变更**
|
||||
- 旧: `/api/v1/pipelines/<uuid>/chat/send`
|
||||
- 新: `ws://.../<uuid>/ws/connect`
|
||||
|
||||
2. **通信协议变更**
|
||||
- 旧: HTTP + SSE (Server-Sent Events)
|
||||
- 新: WebSocket (双向)
|
||||
|
||||
3. **流式实现变更**
|
||||
- 旧: `text/event-stream` 格式
|
||||
- 新: WebSocket JSON消息
|
||||
|
||||
### 迁移要求
|
||||
|
||||
使用新系统需要:
|
||||
1. ✅ 前端必须支持WebSocket
|
||||
2. ✅ 后端必须运行新的WebSocket适配器
|
||||
3. ✅ 清除旧的WebChat相关配置
|
||||
|
||||
## 优势对比
|
||||
|
||||
| 特性 | 旧WebChat (SSE) | 新WebSocket |
|
||||
|------|----------------|-------------|
|
||||
| 双向通信 | ❌ 单向（服务器→客户端） | ✅ 双向 |
|
||||
| 主动推送 | ❌ 不支持 | ✅ 支持 |
|
||||
| 连接管理 | ❌ 无状态 | ✅ 有状态，完整生命周期 |
|
||||
| 流式输出 | ✅ 支持 | ✅ 支持（更优） |
|
||||
| 心跳机制 | ❌ 无 | ✅ 30秒心跳 |
|
||||
| 自动重连 | ❌ 无 | ✅ 最多5次 |
|
||||
| 多连接 | ⚠️ 难以管理 | ✅ 完整支持 |
|
||||
| 连接状态 | ❌ 不可见 | ✅ 实时显示 |
|
||||
| 广播功能 | ❌ 不支持 | ✅ 支持 |
|
||||
|
||||
## 测试方式
|
||||
|
||||
### 1. Python测试客户端
|
||||
|
||||
```bash
|
||||
# 单连接测试
|
||||
python test_websocket_client.py <pipeline_uuid>
|
||||
|
||||
# 指定会话类型
|
||||
python test_websocket_client.py <pipeline_uuid> --session-type group
|
||||
|
||||
# 多连接并发测试（5个连接）
|
||||
python test_websocket_client.py <pipeline_uuid> --multi 5
|
||||
```
|
||||
|
||||
### 2. 前端测试
|
||||
|
||||
1. 启动LangBot服务器
|
||||
2. 访问前端界面
|
||||
3. 打开流水线调试对话框
|
||||
4. 观察连接状态指示器（左下角圆点）
|
||||
5. 发送消息测试流式响应
|
||||
|
||||
### 3. 浏览器控制台测试
|
||||
|
||||
```javascript
|
||||
const ws = new WebSocket('ws://localhost:8000/api/v1/pipelines/<uuid>/ws/connect?session_type=person');
|
||||
|
||||
ws.onopen = () => {
|
||||
console.log('已连接');
|
||||
ws.send(JSON.stringify({
|
||||
type: 'message',
|
||||
message: [{type: 'Plain', text: '你好'}]
|
||||
}));
|
||||
};
|
||||
|
||||
ws.onmessage = (event) => {
|
||||
console.log('收到:', JSON.parse(event.data));
|
||||
};
|
||||
```
|
||||
|
||||
## 常见问题
|
||||
|
||||
### Q: 为什么完全删除旧代码而不保留兼容性？
|
||||
A: 根据需求，不需要考虑任何对老版本的兼容性，彻底迁移可以避免代码冗余和维护负担。
|
||||
|
||||
### Q: 流式输出如何工作？
|
||||
A:
|
||||
1. 后端通过`reply_message_chunk`发送消息块
|
||||
2. 消息块放入队列
|
||||
3. WebSocket连接从队列取出并发送
|
||||
4. 前端实时更新UI
|
||||
5. `is_final=true`表示最后一块
|
||||
|
||||
### Q: 如何确保连接不断开？
|
||||
A:
|
||||
1. 客户端每30秒发送心跳（ping）
|
||||
2. 服务器响应pong
|
||||
3. 连接断开时自动重连（最多5次）
|
||||
|
||||
### Q: 如何实现后端主动推送？
|
||||
A:
|
||||
1. 调用 `/api/v1/pipelines/<uuid>/ws/broadcast` API
|
||||
2. 消息会被推送到该流水线的所有连接
|
||||
3. 前端通过`onBroadcast`回调接收
|
||||
|
||||
## 总结
|
||||
|
||||
✅ **完成的工作**
|
||||
- 完全移除旧的WebChat/SSE系统
|
||||
- 实现完整的WebSocket双向通信系统
|
||||
- 支持流式输出
|
||||
- 支持多连接并发
|
||||
- 实现自动重连和心跳机制
|
||||
- 提供完整的测试工具和文档
|
||||
|
||||
✅ **核心特性**
|
||||
- 双向实时通信
|
||||
- 流式消息支持
|
||||
- 多连接管理
|
||||
- 自动重连
|
||||
- 心跳保活
|
||||
- 连接状态可视化
|
||||
- 广播消息
|
||||
|
||||
✅ **技术亮点**
|
||||
- 异步架构（asyncio）
|
||||
- 线程安全的连接管理
|
||||
- 独立的消息队列
|
||||
- 完整的错误处理
|
||||
- 模块化设计
|
||||
|
||||
🎉 系统已完全迁移到WebSocket，无任何旧代码遗留！
|
||||
@@ -1,259 +0,0 @@
|
||||
# SeekDB Vector Database Integration
|
||||
|
||||
This document describes how to use OceanBase SeekDB as the vector database backend for LangBot's knowledge base feature.
|
||||
|
||||
## What is SeekDB?
|
||||
|
||||
**OceanBase SeekDB** is an AI-native search database that unifies relational, vector, text, JSON and GIS in a single engine, enabling hybrid search and in-database AI workflows. It's developed by OceanBase and released under Apache 2.0 license.
|
||||
|
||||
### Key Features
|
||||
|
||||
- **Hybrid Search**: Combine vector search, full-text search and relational query in a single statement
|
||||
- **Multi-Model Support**: Support relational, vector, text, JSON and GIS in a single engine
|
||||
- **Lightweight**: Requires as little as 1 CPU core and 2 GB of memory
|
||||
- **Multiple Deployment Modes**: Supports both embedded mode and client/server mode
|
||||
- **MySQL Compatible**: Powered by OceanBase engine with full ACID compliance and MySQL compatibility
|
||||
|
||||
## Installation
|
||||
|
||||
SeekDB support is automatically included when you install LangBot. The required dependency `pyseekdb` is listed in `pyproject.toml`.
|
||||
|
||||
If you need to install it manually:
|
||||
|
||||
```bash
|
||||
pip install pyseekdb
|
||||
```
|
||||
|
||||
## ⚠️ Platform Compatibility
|
||||
|
||||
### Embedded Mode
|
||||
|
||||
| Platform | Status | Notes |
|
||||
|----------|--------|-------|
|
||||
| Linux | ✅ Supported | Full embedded mode support via `pylibseekdb` |
|
||||
| macOS | ❌ Not Supported | `pylibseekdb` is Linux-only; use server mode instead |
|
||||
| Windows | ❌ Not Supported | `pylibseekdb` is Linux-only; use server mode instead |
|
||||
|
||||
**Important**: Embedded mode requires the `pylibseekdb` library, which is only available on Linux. If you're on macOS or Windows, you must use server mode.
|
||||
|
||||
### Server Mode (Docker)
|
||||
|
||||
| Platform | Status | Notes |
|
||||
|----------|--------|-------|
|
||||
| Linux | ✅ Supported | Full Docker support |
|
||||
| macOS | ⚠️ Known Issue | Docker container initialization failure - [See Issue #36](https://github.com/oceanbase/seekdb/issues/36) |
|
||||
| Windows | ⚠️ Untested | Should work but not yet tested |
|
||||
|
||||
**macOS Users**: Currently, SeekDB Docker containers have an initialization issue on macOS ([oceanbase/seekdb#36](https://github.com/oceanbase/seekdb/issues/36)). Until this is resolved, we recommend:
|
||||
- Using ChromaDB or Qdrant as alternatives
|
||||
- Connecting to a remote SeekDB server on Linux if available
|
||||
|
||||
### Server Mode (Remote Connection)
|
||||
|
||||
| Platform | Status | Notes |
|
||||
|----------|--------|-------|
|
||||
| All Platforms | ✅ Supported | Connect to SeekDB running on a remote Linux server |
|
||||
|
||||
**Recommendation for macOS/Windows users**: Deploy SeekDB on a Linux server and connect via server mode configuration.
|
||||
|
||||
## Configuration
|
||||
|
||||
### Embedded Mode (Recommended for Development)
|
||||
|
||||
Embedded mode runs SeekDB directly within the LangBot process, storing data locally. This is the simplest setup and requires no external services.
|
||||
|
||||
Edit your `config.yaml`:
|
||||
|
||||
```yaml
|
||||
vdb:
|
||||
use: seekdb
|
||||
seekdb:
|
||||
mode: embedded
|
||||
path: './data/seekdb' # Path to store SeekDB data
|
||||
database: 'langbot' # Database name
|
||||
```
|
||||
|
||||
### Server Mode (For Production)
|
||||
|
||||
Server mode connects to a remote SeekDB server or OceanBase server. This is recommended for production deployments.
|
||||
|
||||
#### SeekDB Server
|
||||
|
||||
```yaml
|
||||
vdb:
|
||||
use: seekdb
|
||||
seekdb:
|
||||
mode: server
|
||||
host: 'localhost'
|
||||
port: 2881
|
||||
database: 'langbot'
|
||||
user: 'root'
|
||||
password: '' # Can also use SEEKDB_PASSWORD env var
|
||||
```
|
||||
|
||||
#### OceanBase Server
|
||||
|
||||
If you're using OceanBase with seekdb capabilities:
|
||||
|
||||
```yaml
|
||||
vdb:
|
||||
use: seekdb
|
||||
seekdb:
|
||||
mode: server
|
||||
host: 'localhost'
|
||||
port: 2881
|
||||
tenant: 'sys' # OceanBase tenant name
|
||||
database: 'langbot'
|
||||
user: 'root'
|
||||
password: ''
|
||||
```
|
||||
|
||||
## Configuration Parameters
|
||||
|
||||
| Parameter | Required | Default | Description |
|
||||
|-----------|----------|--------------|-------------|
|
||||
| `mode` | No | `embedded` | Deployment mode: `embedded` or `server` |
|
||||
| `path` | No | `./data/seekdb` | Data directory for embedded mode |
|
||||
| `database` | No | `langbot` | Database name |
|
||||
| `host` | No | `localhost` | Server host (server mode only) |
|
||||
| `port` | No | `2881` | Server port (server mode only) |
|
||||
| `user` | No | `root` | Username (server mode only) |
|
||||
| `password` | No | `''` | Password (server mode only) |
|
||||
| `tenant` | No | None | OceanBase tenant (optional, server mode only) |
|
||||
|
||||
## Usage
|
||||
|
||||
Once configured, SeekDB will be used automatically for all knowledge base operations in LangBot:
|
||||
|
||||
1. **Creating Knowledge Bases**: Vectors will be stored in SeekDB collections
|
||||
2. **Adding Documents**: Document embeddings will be indexed in SeekDB
|
||||
3. **Searching**: Vector similarity search will use SeekDB's efficient indexing
|
||||
4. **Deleting**: Document removal will delete vectors from SeekDB
|
||||
|
||||
No code changes are required - just update your configuration!
|
||||
|
||||
## Architecture Details
|
||||
|
||||
### Implementation
|
||||
|
||||
The SeekDB adapter is implemented in `src/langbot/pkg/vector/vdbs/seekdb.py` and follows the same `VectorDatabase` interface as Chroma and Qdrant adapters.
|
||||
|
||||
Key methods:
|
||||
- `add_embeddings()`: Add vectors with metadata to a collection
|
||||
- `search()`: Perform vector similarity search
|
||||
- `delete_by_file_id()`: Delete vectors by file ID metadata
|
||||
- `get_or_create_collection()`: Manage collections
|
||||
- `delete_collection()`: Remove entire collections
|
||||
|
||||
### Vector Storage
|
||||
|
||||
- Collections are created with HNSW (Hierarchical Navigable Small World) index
|
||||
- Default distance metric: Cosine similarity
|
||||
- Default vector dimension: 384 (adjusts automatically based on embeddings)
|
||||
- Metadata is stored alongside vectors for filtering
|
||||
|
||||
## Advantages Over Other Vector Databases
|
||||
|
||||
### vs. ChromaDB
|
||||
- ✅ Better MySQL compatibility
|
||||
- ✅ Hybrid search capabilities (vector + full-text + SQL)
|
||||
- ✅ Production-grade distributed mode support
|
||||
- ✅ Lightweight embedded mode
|
||||
|
||||
### vs. Qdrant
|
||||
- ✅ SQL query support
|
||||
- ✅ MySQL ecosystem integration
|
||||
- ✅ Simpler deployment (no Docker required for embedded mode)
|
||||
- ✅ Multi-model data support (not just vectors)
|
||||
|
||||
## Troubleshooting
|
||||
|
||||
### Import Error
|
||||
|
||||
If you see: `ImportError: pyseekdb is not installed`
|
||||
|
||||
Solution:
|
||||
```bash
|
||||
pip install pyseekdb
|
||||
```
|
||||
|
||||
### Embedded Mode Error on macOS/Windows
|
||||
|
||||
**Error**:
|
||||
```
|
||||
RuntimeError: Embedded Client is not available because pylibseekdb is not available.
|
||||
Please install pylibseekdb (Linux only) or use RemoteServerClient (host/port) instead.
|
||||
```
|
||||
|
||||
**Cause**: `pylibseekdb` is only available on Linux platforms.
|
||||
|
||||
**Solution**: Use server mode instead:
|
||||
1. Deploy SeekDB on a Linux server or VM
|
||||
2. Configure LangBot to use server mode:
|
||||
```yaml
|
||||
vdb:
|
||||
use: seekdb
|
||||
seekdb:
|
||||
mode: server
|
||||
host: 'your-seekdb-server-ip'
|
||||
port: 2881
|
||||
database: 'langbot'
|
||||
user: 'root'
|
||||
password: ''
|
||||
```
|
||||
|
||||
**Alternative**: Use ChromaDB or Qdrant, which work on all platforms:
|
||||
```yaml
|
||||
vdb:
|
||||
use: chroma # or qdrant
|
||||
```
|
||||
|
||||
### Docker Container Fails on macOS
|
||||
|
||||
**Symptoms**:
|
||||
```bash
|
||||
docker run -d -p 2881:2881 oceanbase/seekdb:latest
|
||||
# Container exits immediately with code 30
|
||||
```
|
||||
|
||||
**Error in logs**:
|
||||
```
|
||||
[ERROR] Code: Agent.SeekDB.Not.Exists
|
||||
Message: initialize failed: init agent failed: SeekDB not exists in current directory.
|
||||
```
|
||||
|
||||
**Cause**: This is a known issue with SeekDB Docker containers on macOS. See [oceanbase/seekdb#36](https://github.com/oceanbase/seekdb/issues/36).
|
||||
|
||||
**Status**: Under investigation by OceanBase team.
|
||||
|
||||
**Workaround Options**:
|
||||
1. **Use alternatives**: ChromaDB or Qdrant work perfectly on macOS
|
||||
2. **Remote server**: Deploy SeekDB on a Linux server and connect remotely
|
||||
3. **Wait for fix**: Monitor the GitHub issue for updates
|
||||
|
||||
### Connection Error (Server Mode)
|
||||
|
||||
If SeekDB server is not reachable, check:
|
||||
1. Server is running: `ps aux | grep observer`
|
||||
2. Port is accessible: `nc -zv localhost 2881`
|
||||
3. Credentials are correct in config
|
||||
4. Firewall allows connections on port 2881
|
||||
|
||||
### Performance Issues
|
||||
|
||||
For large datasets:
|
||||
- Use server mode instead of embedded mode
|
||||
- Ensure adequate memory allocation
|
||||
- Consider using OceanBase distributed mode for very large scale
|
||||
- Adjust HNSW index parameters if needed
|
||||
|
||||
## Resources
|
||||
|
||||
- SeekDB GitHub: https://github.com/oceanbase/seekdb
|
||||
- pyseekdb SDK: https://github.com/oceanbase/pyseekdb
|
||||
- OceanBase Documentation: https://oceanbase.ai
|
||||
- LangBot Documentation: https://docs.langbot.app
|
||||
|
||||
## License
|
||||
|
||||
SeekDB is licensed under Apache License 2.0.
|
||||
@@ -1,394 +0,0 @@
|
||||
# LangBot WebSocket 双向通信系统
|
||||
|
||||
## 概述
|
||||
|
||||
这是一个内置在 LangBot 中的完整 IM (即时通讯) 系统，支持：
|
||||
|
||||
- ✅ WebSocket 双向实时通信
|
||||
- ✅ 多个客户端并发连接
|
||||
- ✅ 前端到后端的消息发送
|
||||
- ✅ 后端到前端的主动推送
|
||||
- ✅ 流式响应支持
|
||||
- ✅ 连接管理和会话隔离
|
||||
- ✅ 心跳机制
|
||||
- ✅ 广播消息功能
|
||||
|
||||
## 架构设计
|
||||
|
||||
### 核心组件
|
||||
|
||||
1. **WebSocketConnectionManager** (`websocket_manager.py`)
|
||||
- 管理所有活跃的 WebSocket 连接
|
||||
- 支持按流水线、会话类型查询连接
|
||||
- 提供广播和单播功能
|
||||
- 线程安全的并发访问控制
|
||||
|
||||
2. **WebSocketAdapter** (`websocket_adapter.py`)
|
||||
- 实现平台适配器接口
|
||||
- 处理消息的接收和发送
|
||||
- 支持流式输出
|
||||
- 管理消息历史
|
||||
|
||||
3. **WebSocketChatRouterGroup** (`websocket_chat.py`)
|
||||
- WebSocket 路由控制器
|
||||
- 处理连接建立、消息收发
|
||||
- 实现心跳机制
|
||||
- 提供 REST API 接口
|
||||
|
||||
## API 接口
|
||||
|
||||
### WebSocket 连接
|
||||
|
||||
#### 建立连接
|
||||
|
||||
```
|
||||
ws://localhost:8000/api/v1/pipelines/<pipeline_uuid>/ws/connect?session_type=<person|group>
|
||||
```
|
||||
|
||||
**参数:**
|
||||
- `pipeline_uuid`: 流水线 UUID (必需)
|
||||
- `session_type`: 会话类型，可选 `person` 或 `group` (默认: `person`)
|
||||
|
||||
**连接成功响应:**
|
||||
```json
|
||||
{
|
||||
"type": "connected",
|
||||
"connection_id": "550e8400-e29b-41d4-a716-446655440000",
|
||||
"pipeline_uuid": "your-pipeline-uuid",
|
||||
"session_type": "person",
|
||||
"timestamp": "2025-01-28T12:00:00"
|
||||
}
|
||||
```
|
||||
|
||||
### 消息格式
|
||||
|
||||
#### 客户端发送消息
|
||||
|
||||
**发送聊天消息:**
|
||||
```json
|
||||
{
|
||||
"type": "message",
|
||||
"message": [
|
||||
{
|
||||
"type": "Plain",
|
||||
"text": "你好，这是一条测试消息"
|
||||
}
|
||||
]
|
||||
}
|
||||
```
|
||||
|
||||
**发送心跳:**
|
||||
```json
|
||||
{
|
||||
"type": "ping"
|
||||
}
|
||||
```
|
||||
|
||||
**主动断开连接:**
|
||||
```json
|
||||
{
|
||||
"type": "disconnect"
|
||||
}
|
||||
```
|
||||
|
||||
#### 服务器响应消息
|
||||
|
||||
**聊天响应 (流式):**
|
||||
```json
|
||||
{
|
||||
"type": "response",
|
||||
"data": {
|
||||
"id": 1,
|
||||
"role": "assistant",
|
||||
"content": "这是机器人的回复",
|
||||
"message_chain": [...],
|
||||
"timestamp": "2025-01-28T12:00:00",
|
||||
"is_final": false,
|
||||
"connection_id": "..."
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
**心跳响应:**
|
||||
```json
|
||||
{
|
||||
"type": "pong",
|
||||
"timestamp": "2025-01-28T12:00:00"
|
||||
}
|
||||
```
|
||||
|
||||
**广播消息:**
|
||||
```json
|
||||
{
|
||||
"type": "broadcast",
|
||||
"message": "这是一条广播消息",
|
||||
"timestamp": "2025-01-28T12:00:00"
|
||||
}
|
||||
```
|
||||
|
||||
**错误消息:**
|
||||
```json
|
||||
{
|
||||
"type": "error",
|
||||
"message": "错误描述"
|
||||
}
|
||||
```
|
||||
|
||||
### REST API 接口
|
||||
|
||||
#### 1. 获取消息历史
|
||||
|
||||
```http
|
||||
GET /api/v1/pipelines/<pipeline_uuid>/ws/messages/<session_type>
|
||||
```
|
||||
|
||||
**响应:**
|
||||
```json
|
||||
{
|
||||
"code": 0,
|
||||
"msg": "ok",
|
||||
"data": {
|
||||
"messages": [...]
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
#### 2. 重置会话
|
||||
|
||||
```http
|
||||
POST /api/v1/pipelines/<pipeline_uuid>/ws/reset/<session_type>
|
||||
```
|
||||
|
||||
**响应:**
|
||||
```json
|
||||
{
|
||||
"code": 0,
|
||||
"msg": "ok",
|
||||
"data": {
|
||||
"message": "Session reset successfully"
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
#### 3. 获取连接统计
|
||||
|
||||
```http
|
||||
GET /api/v1/pipelines/<pipeline_uuid>/ws/connections
|
||||
```
|
||||
|
||||
**响应:**
|
||||
```json
|
||||
{
|
||||
"code": 0,
|
||||
"msg": "ok",
|
||||
"data": {
|
||||
"stats": {
|
||||
"total_connections": 5,
|
||||
"pipelines": 2,
|
||||
"connections_by_pipeline": {
|
||||
"pipeline-1": 3,
|
||||
"pipeline-2": 2
|
||||
},
|
||||
"connections_by_session_type": {
|
||||
"person": 4,
|
||||
"group": 1
|
||||
}
|
||||
},
|
||||
"connections": [
|
||||
{
|
||||
"connection_id": "...",
|
||||
"session_type": "person",
|
||||
"created_at": "2025-01-28T12:00:00",
|
||||
"last_active": "2025-01-28T12:05:00",
|
||||
"is_active": true
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
#### 4. 广播消息 (后端主动推送)
|
||||
|
||||
```http
|
||||
POST /api/v1/pipelines/<pipeline_uuid>/ws/broadcast
|
||||
Content-Type: application/json
|
||||
|
||||
{
|
||||
"message": "这是一条广播消息"
|
||||
}
|
||||
```
|
||||
|
||||
**响应:**
|
||||
```json
|
||||
{
|
||||
"code": 0,
|
||||
"msg": "ok",
|
||||
"data": {
|
||||
"message": "Broadcast sent successfully"
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
## 使用示例
|
||||
|
||||
### Python 客户端示例
|
||||
|
||||
使用提供的测试客户端：
|
||||
|
||||
```bash
|
||||
# 安装依赖
|
||||
pip install websockets
|
||||
|
||||
# 单个连接测试
|
||||
python test_websocket_client.py <pipeline_uuid>
|
||||
|
||||
# 指定会话类型
|
||||
python test_websocket_client.py <pipeline_uuid> --session-type group
|
||||
|
||||
# 多连接并发测试
|
||||
python test_websocket_client.py <pipeline_uuid> --multi 5
|
||||
```
|
||||
|
||||
### JavaScript 客户端示例
|
||||
|
||||
```javascript
|
||||
// 建立 WebSocket 连接
|
||||
const ws = new WebSocket('ws://localhost:8000/api/v1/pipelines/your-pipeline-uuid/ws/connect?session_type=person');
|
||||
|
||||
// 连接建立
|
||||
ws.onopen = () => {
|
||||
console.log('WebSocket 连接已建立');
|
||||
|
||||
// 发送消息
|
||||
ws.send(JSON.stringify({
|
||||
type: 'message',
|
||||
message: [
|
||||
{
|
||||
type: 'Plain',
|
||||
text: '你好'
|
||||
}
|
||||
]
|
||||
}));
|
||||
};
|
||||
|
||||
// 接收消息
|
||||
ws.onmessage = (event) => {
|
||||
const data = JSON.parse(event.data);
|
||||
|
||||
if (data.type === 'connected') {
|
||||
console.log('连接成功:', data.connection_id);
|
||||
} else if (data.type === 'response') {
|
||||
console.log('机器人回复:', data.data.content);
|
||||
if (data.data.is_final) {
|
||||
console.log('响应完成');
|
||||
}
|
||||
} else if (data.type === 'broadcast') {
|
||||
console.log('收到广播:', data.message);
|
||||
}
|
||||
};
|
||||
|
||||
// 连接关闭
|
||||
ws.onclose = () => {
|
||||
console.log('WebSocket 连接已关闭');
|
||||
};
|
||||
|
||||
// 错误处理
|
||||
ws.onerror = (error) => {
|
||||
console.error('WebSocket 错误:', error);
|
||||
};
|
||||
|
||||
// 发送心跳
|
||||
setInterval(() => {
|
||||
if (ws.readyState === WebSocket.OPEN) {
|
||||
ws.send(JSON.stringify({ type: 'ping' }));
|
||||
}
|
||||
}, 30000); // 每 30 秒发送一次心跳
|
||||
```
|
||||
|
||||
## 特性说明
|
||||
|
||||
### 1. 多连接支持
|
||||
|
||||
系统支持同时建立多个 WebSocket 连接，每个连接都有唯一的 `connection_id`。连接按照流水线和会话类型进行分组管理。
|
||||
|
||||
### 2. 双向通信
|
||||
|
||||
- **前端 → 后端**: 客户端可以主动发送消息给服务器
|
||||
- **后端 → 前端**: 服务器可以通过广播 API 主动推送消息给客户端
|
||||
|
||||
### 3. 流式响应
|
||||
|
||||
支持流式输出，机器人的响应会分块发送，客户端可以实时显示部分响应内容。
|
||||
|
||||
### 4. 会话隔离
|
||||
|
||||
支持 `person` 和 `group` 两种会话类型，不同类型的会话消息历史互不影响。
|
||||
|
||||
### 5. 连接管理
|
||||
|
||||
- 自动追踪连接状态
|
||||
- 记录最后活跃时间
|
||||
- 支持连接统计查询
|
||||
- 连接断开时自动清理资源
|
||||
|
||||
### 6. 心跳机制
|
||||
|
||||
客户端可以定期发送 `ping` 消息，服务器会响应 `pong`，用于保持连接活跃和检测连接状态。
|
||||
|
||||
## 架构优势
|
||||
|
||||
1. **高并发**: 使用 asyncio 异步架构，支持大量并发连接
|
||||
2. **可扩展**: 模块化设计，易于扩展新功能
|
||||
3. **线程安全**: 连接管理器使用锁机制保证并发安全
|
||||
4. **消息队列**: 每个连接独立的发送队列，避免消息混乱
|
||||
5. **灵活路由**: 支持按流水线、会话类型灵活路由消息
|
||||
|
||||
## 注意事项
|
||||
|
||||
1. **认证**: 当前 WebSocket 连接不需要认证，生产环境建议添加认证机制
|
||||
2. **心跳**: 建议客户端实现心跳机制，避免连接超时
|
||||
3. **重连**: 客户端应实现断线重连逻辑
|
||||
4. **消息大小**: 注意控制单条消息大小，避免内存溢出
|
||||
5. **连接数限制**: 生产环境建议设置最大连接数限制
|
||||
|
||||
## 故障排查
|
||||
|
||||
### 连接失败
|
||||
|
||||
1. 检查流水线 UUID 是否正确
|
||||
2. 检查服务器是否正常运行
|
||||
3. 检查防火墙设置
|
||||
|
||||
### 消息发送失败
|
||||
|
||||
1. 检查消息格式是否正确
|
||||
2. 检查连接是否仍然活跃
|
||||
3. 查看服务器日志获取详细错误信息
|
||||
|
||||
### 性能问题
|
||||
|
||||
1. 检查并发连接数是否过多
|
||||
2. 检查消息处理速度
|
||||
3. 考虑使用连接池或负载均衡
|
||||
|
||||
## 开发调试
|
||||
|
||||
启用详细日志：
|
||||
|
||||
```python
|
||||
import logging
|
||||
logging.getLogger('langbot.pkg.platform.sources.websocket_adapter').setLevel(logging.DEBUG)
|
||||
logging.getLogger('langbot.pkg.platform.sources.websocket_manager').setLevel(logging.DEBUG)
|
||||
logging.getLogger('langbot.pkg.api.http.controller.groups.pipelines.websocket_chat').setLevel(logging.DEBUG)
|
||||
```
|
||||
|
||||
## 后续改进建议
|
||||
|
||||
1. 添加用户认证和授权机制
|
||||
2. 实现消息持久化
|
||||
3. 添加消息加密
|
||||
4. 实现更丰富的消息类型 (图片、文件等)
|
||||
5. 添加消息已读/未读状态
|
||||
6. 实现群组聊天功能
|
||||
7. 添加在线状态显示
|
||||
8. 实现消息撤回功能
|
||||
@@ -1,10 +1,10 @@
|
||||
[project]
|
||||
name = "langbot"
|
||||
version = "4.6.5"
|
||||
version = "4.6.0-beta.1"
|
||||
description = "Easy-to-use global IM bot platform designed for LLM era"
|
||||
readme = "README.md"
|
||||
license-files = ["LICENSE"]
|
||||
requires-python = ">=3.11,<4.0"
|
||||
requires-python = ">=3.10.1,<4.0"
|
||||
dependencies = [
|
||||
"aiocqhttp>=1.4.4",
|
||||
"aiofiles>=24.1.0",
|
||||
@@ -46,6 +46,7 @@ dependencies = [
|
||||
"urllib3>=2.4.0",
|
||||
"websockets>=15.0.1",
|
||||
"python-socks>=2.7.1", # dingtalk missing dependency
|
||||
"taskgroup==0.0.0a4", # graingert/taskgroup#20
|
||||
"pip>=25.1.1",
|
||||
"ruff>=0.11.9",
|
||||
"pre-commit>=4.2.0",
|
||||
@@ -63,14 +64,11 @@ dependencies = [
|
||||
"langchain-text-splitters>=0.0.1",
|
||||
"chromadb>=0.4.24",
|
||||
"qdrant-client (>=1.15.1,<2.0.0)",
|
||||
"pyseekdb>=0.1.0",
|
||||
"langbot-plugin==0.2.4",
|
||||
"langbot-plugin==0.1.11b1",
|
||||
"asyncpg>=0.30.0",
|
||||
"line-bot-sdk>=3.19.0",
|
||||
"tboxsdk>=0.0.10",
|
||||
"boto3>=1.35.0",
|
||||
"pymilvus>=2.6.4",
|
||||
"pgvector>=0.4.1",
|
||||
]
|
||||
keywords = [
|
||||
"bot",
|
||||
@@ -110,7 +108,7 @@ requires = ["setuptools>=61.0", "wheel"]
|
||||
build-backend = "setuptools.build_meta"
|
||||
|
||||
[tool.setuptools]
|
||||
package-data = { "langbot" = ["templates/**", "pkg/provider/modelmgr/requesters/*", "pkg/platform/sources/*", "web/out/**"] }
|
||||
package-data = { "langbot" = ["templates/*", "pkg/provider/modelmgr/requesters/*", "pkg/platform/sources/*", "web/out/**"] }
|
||||
|
||||
[dependency-groups]
|
||||
dev = [
|
||||
|
||||
@@ -26,7 +26,7 @@ markers =
|
||||
|
||||
# Coverage options (when using pytest-cov)
|
||||
[coverage:run]
|
||||
source = langbot
|
||||
source = langbot.pkg
|
||||
omit =
|
||||
*/tests/*
|
||||
*/test_*.py
|
||||
|
||||
@@ -22,7 +22,7 @@ echo "Running all unit tests..."
|
||||
|
||||
# Run tests with coverage
|
||||
pytest tests/unit_tests/ -v --tb=short \
|
||||
--cov=langbot \
|
||||
--cov=pkg \
|
||||
--cov-report=xml \
|
||||
"$@"
|
||||
|
||||
|
||||
@@ -1,3 +1,3 @@
|
||||
"""LangBot - Easy-to-use global IM bot platform designed for LLM era"""
|
||||
|
||||
__version__ = '4.6.5'
|
||||
__version__ = '4.6.0-beta.1'
|
||||
|
||||
@@ -32,7 +32,6 @@ class AsyncDifyServiceClient:
|
||||
conversation_id: str = '',
|
||||
files: list[dict[str, typing.Any]] = [],
|
||||
timeout: float = 30.0,
|
||||
model_config: dict[str, typing.Any] | None = None,
|
||||
) -> typing.AsyncGenerator[dict[str, typing.Any], None]:
|
||||
"""发送消息"""
|
||||
if response_mode != 'streaming':
|
||||
@@ -43,16 +42,6 @@ class AsyncDifyServiceClient:
|
||||
trust_env=True,
|
||||
timeout=timeout,
|
||||
) as client:
|
||||
payload = {
|
||||
'inputs': inputs,
|
||||
'query': query,
|
||||
'user': user,
|
||||
'response_mode': response_mode,
|
||||
'conversation_id': conversation_id,
|
||||
'files': files,
|
||||
'model_config': model_config or {},
|
||||
}
|
||||
|
||||
async with client.stream(
|
||||
'POST',
|
||||
'/chat-messages',
|
||||
@@ -60,7 +49,14 @@ class AsyncDifyServiceClient:
|
||||
'Authorization': f'Bearer {self.api_key}',
|
||||
'Content-Type': 'application/json',
|
||||
},
|
||||
json=payload,
|
||||
json={
|
||||
'inputs': inputs,
|
||||
'query': query,
|
||||
'user': user,
|
||||
'response_mode': response_mode,
|
||||
'conversation_id': conversation_id,
|
||||
'files': files,
|
||||
},
|
||||
) as r:
|
||||
async for chunk in r.aiter_lines():
|
||||
if r.status_code != 200:
|
||||
|
||||
@@ -1,11 +1,8 @@
|
||||
import asyncio
|
||||
import base64
|
||||
import json
|
||||
import time
|
||||
import urllib.parse
|
||||
from typing import Callable
|
||||
import dingtalk_stream # type: ignore
|
||||
import websockets
|
||||
from .EchoHandler import EchoTextHandler
|
||||
from .dingtalkevent import DingTalkEvent
|
||||
import httpx
|
||||
@@ -39,7 +36,6 @@ class DingTalkClient:
|
||||
self.access_token_expiry_time = ''
|
||||
self.markdown_card = markdown_card
|
||||
self.logger = logger
|
||||
self._stopped = False # Flag to control the event loop
|
||||
|
||||
async def get_access_token(self):
|
||||
url = 'https://api.dingtalk.com/v1.0/oauth2/accessToken'
|
||||
@@ -174,9 +170,6 @@ class DingTalkClient:
|
||||
"""
|
||||
处理消息事件。
|
||||
"""
|
||||
# Skip message handling if stopped
|
||||
if self._stopped:
|
||||
return
|
||||
msg_type = event.conversation
|
||||
if msg_type in self._message_handlers:
|
||||
for handler in self._message_handlers[msg_type]:
|
||||
@@ -385,70 +378,4 @@ class DingTalkClient:
|
||||
|
||||
async def start(self):
|
||||
"""启动 WebSocket 连接，监听消息"""
|
||||
self._stopped = False
|
||||
self.client.pre_start()
|
||||
|
||||
while not self._stopped:
|
||||
try:
|
||||
connection = self.client.open_connection()
|
||||
|
||||
if not connection:
|
||||
if self.logger:
|
||||
await self.logger.error('DingTalk: open connection failed')
|
||||
await asyncio.sleep(10)
|
||||
continue
|
||||
|
||||
uri = '%s?ticket=%s' % (connection['endpoint'], urllib.parse.quote_plus(connection['ticket']))
|
||||
async with websockets.connect(uri) as websocket:
|
||||
self.client.websocket = websocket
|
||||
keepalive_task = asyncio.create_task(self._keepalive(websocket))
|
||||
try:
|
||||
async for raw_message in websocket:
|
||||
if self._stopped:
|
||||
break
|
||||
json_message = json.loads(raw_message)
|
||||
asyncio.create_task(self.client.background_task(json_message))
|
||||
finally:
|
||||
keepalive_task.cancel()
|
||||
try:
|
||||
await keepalive_task
|
||||
except asyncio.CancelledError:
|
||||
pass
|
||||
except asyncio.CancelledError:
|
||||
# Properly exit when task is cancelled
|
||||
break
|
||||
except websockets.exceptions.ConnectionClosedError as e:
|
||||
if self._stopped:
|
||||
break
|
||||
if self.logger:
|
||||
await self.logger.error(f'DingTalk: connection closed, reconnecting... error={e}')
|
||||
await asyncio.sleep(5)
|
||||
continue
|
||||
except Exception as e:
|
||||
if self._stopped:
|
||||
break
|
||||
if self.logger:
|
||||
await self.logger.error(f'DingTalk: unknown exception, reconnecting... error={e}')
|
||||
await asyncio.sleep(3)
|
||||
continue
|
||||
|
||||
async def _keepalive(self, ws, ping_interval=60):
|
||||
"""Keep WebSocket connection alive"""
|
||||
while not self._stopped:
|
||||
await asyncio.sleep(ping_interval)
|
||||
try:
|
||||
await ws.ping()
|
||||
except websockets.exceptions.ConnectionClosed:
|
||||
break
|
||||
|
||||
async def stop(self):
|
||||
"""停止 WebSocket 连接"""
|
||||
self._stopped = True
|
||||
# Close WebSocket connection if exists
|
||||
if self.client.websocket:
|
||||
try:
|
||||
await self.client.websocket.close()
|
||||
except Exception:
|
||||
pass
|
||||
# Clear message handlers to prevent stale callbacks
|
||||
self._message_handlers = {'example': []}
|
||||
await self.client.start()
|
||||
|
||||
@@ -23,25 +23,20 @@ xml_template = """
|
||||
|
||||
|
||||
class OAClient:
|
||||
def __init__(self, token: str, EncodingAESKey: str, AppID: str, Appsecret: str, logger: None, unified_mode: bool = False):
|
||||
def __init__(self, token: str, EncodingAESKey: str, AppID: str, Appsecret: str, logger: None):
|
||||
self.token = token
|
||||
self.aes = EncodingAESKey
|
||||
self.appid = AppID
|
||||
self.appsecret = Appsecret
|
||||
self.base_url = 'https://api.weixin.qq.com'
|
||||
self.access_token = ''
|
||||
self.unified_mode = unified_mode
|
||||
self.app = Quart(__name__)
|
||||
|
||||
# 只有在非统一模式下才注册独立路由
|
||||
if not self.unified_mode:
|
||||
self.app.add_url_rule(
|
||||
'/callback/command',
|
||||
'handle_callback',
|
||||
self.handle_callback_request,
|
||||
methods=['GET', 'POST'],
|
||||
)
|
||||
|
||||
self.app.add_url_rule(
|
||||
'/callback/command',
|
||||
'handle_callback',
|
||||
self.handle_callback_request,
|
||||
methods=['GET', 'POST'],
|
||||
)
|
||||
self._message_handlers = {
|
||||
'example': [],
|
||||
}
|
||||
@@ -51,39 +46,19 @@ class OAClient:
|
||||
self.logger = logger
|
||||
|
||||
async def handle_callback_request(self):
|
||||
"""处理回调请求（独立端口模式，使用全局 request）。"""
|
||||
return await self._handle_callback_internal(request)
|
||||
|
||||
async def handle_unified_webhook(self, req):
|
||||
"""处理回调请求（统一 webhook 模式，显式传递 request）。
|
||||
|
||||
Args:
|
||||
req: Quart Request 对象
|
||||
|
||||
Returns:
|
||||
响应数据
|
||||
"""
|
||||
return await self._handle_callback_internal(req)
|
||||
|
||||
async def _handle_callback_internal(self, req):
|
||||
"""处理回调请求的内部实现，包括 GET 验证和 POST 消息接收。
|
||||
|
||||
Args:
|
||||
req: Quart Request 对象
|
||||
"""
|
||||
try:
|
||||
# 每隔100毫秒查询是否生成ai回答
|
||||
start_time = time.time()
|
||||
signature = req.args.get('signature', '')
|
||||
timestamp = req.args.get('timestamp', '')
|
||||
nonce = req.args.get('nonce', '')
|
||||
echostr = req.args.get('echostr', '')
|
||||
msg_signature = req.args.get('msg_signature', '')
|
||||
signature = request.args.get('signature', '')
|
||||
timestamp = request.args.get('timestamp', '')
|
||||
nonce = request.args.get('nonce', '')
|
||||
echostr = request.args.get('echostr', '')
|
||||
msg_signature = request.args.get('msg_signature', '')
|
||||
if msg_signature is None:
|
||||
await self.logger.error('msg_signature不在请求体中')
|
||||
raise Exception('msg_signature不在请求体中')
|
||||
|
||||
if req.method == 'GET':
|
||||
if request.method == 'GET':
|
||||
# 校验签名
|
||||
check_str = ''.join(sorted([self.token, timestamp, nonce]))
|
||||
check_signature = hashlib.sha1(check_str.encode('utf-8')).hexdigest()
|
||||
@@ -93,8 +68,8 @@ class OAClient:
|
||||
else:
|
||||
await self.logger.error('拒绝请求')
|
||||
raise Exception('拒绝请求')
|
||||
elif req.method == 'POST':
|
||||
encryt_msg = await req.data
|
||||
elif request.method == 'POST':
|
||||
encryt_msg = await request.data
|
||||
wxcpt = WXBizMsgCrypt(self.token, self.aes, self.appid)
|
||||
ret, xml_msg = wxcpt.DecryptMsg(encryt_msg, msg_signature, timestamp, nonce)
|
||||
xml_msg = xml_msg.decode('utf-8')
|
||||
@@ -207,7 +182,6 @@ class OAClientForLongerResponse:
|
||||
Appsecret: str,
|
||||
LoadingMessage: str,
|
||||
logger: None,
|
||||
unified_mode: bool = False,
|
||||
):
|
||||
self.token = token
|
||||
self.aes = EncodingAESKey
|
||||
@@ -215,18 +189,13 @@ class OAClientForLongerResponse:
|
||||
self.appsecret = Appsecret
|
||||
self.base_url = 'https://api.weixin.qq.com'
|
||||
self.access_token = ''
|
||||
self.unified_mode = unified_mode
|
||||
self.app = Quart(__name__)
|
||||
|
||||
# 只有在非统一模式下才注册独立路由
|
||||
if not self.unified_mode:
|
||||
self.app.add_url_rule(
|
||||
'/callback/command',
|
||||
'handle_callback',
|
||||
self.handle_callback_request,
|
||||
methods=['GET', 'POST'],
|
||||
)
|
||||
|
||||
self.app.add_url_rule(
|
||||
'/callback/command',
|
||||
'handle_callback',
|
||||
self.handle_callback_request,
|
||||
methods=['GET', 'POST'],
|
||||
)
|
||||
self._message_handlers = {
|
||||
'example': [],
|
||||
}
|
||||
@@ -237,44 +206,24 @@ class OAClientForLongerResponse:
|
||||
self.logger = logger
|
||||
|
||||
async def handle_callback_request(self):
|
||||
"""处理回调请求（独立端口模式，使用全局 request）。"""
|
||||
return await self._handle_callback_internal(request)
|
||||
|
||||
async def handle_unified_webhook(self, req):
|
||||
"""处理回调请求（统一 webhook 模式，显式传递 request）。
|
||||
|
||||
Args:
|
||||
req: Quart Request 对象
|
||||
|
||||
Returns:
|
||||
响应数据
|
||||
"""
|
||||
return await self._handle_callback_internal(req)
|
||||
|
||||
async def _handle_callback_internal(self, req):
|
||||
"""处理回调请求的内部实现，包括 GET 验证和 POST 消息接收。
|
||||
|
||||
Args:
|
||||
req: Quart Request 对象
|
||||
"""
|
||||
try:
|
||||
signature = req.args.get('signature', '')
|
||||
timestamp = req.args.get('timestamp', '')
|
||||
nonce = req.args.get('nonce', '')
|
||||
echostr = req.args.get('echostr', '')
|
||||
msg_signature = req.args.get('msg_signature', '')
|
||||
signature = request.args.get('signature', '')
|
||||
timestamp = request.args.get('timestamp', '')
|
||||
nonce = request.args.get('nonce', '')
|
||||
echostr = request.args.get('echostr', '')
|
||||
msg_signature = request.args.get('msg_signature', '')
|
||||
|
||||
if msg_signature is None:
|
||||
await self.logger.error('msg_signature不在请求体中')
|
||||
raise Exception('msg_signature不在请求体中')
|
||||
|
||||
if req.method == 'GET':
|
||||
if request.method == 'GET':
|
||||
check_str = ''.join(sorted([self.token, timestamp, nonce]))
|
||||
check_signature = hashlib.sha1(check_str.encode('utf-8')).hexdigest()
|
||||
return echostr if check_signature == signature else '拒绝请求'
|
||||
|
||||
elif req.method == 'POST':
|
||||
encryt_msg = await req.data
|
||||
elif request.method == 'POST':
|
||||
encryt_msg = await request.data
|
||||
wxcpt = WXBizMsgCrypt(self.token, self.aes, self.appid)
|
||||
ret, xml_msg = wxcpt.DecryptMsg(encryt_msg, msg_signature, timestamp, nonce)
|
||||
xml_msg = xml_msg.decode('utf-8')
|
||||
|
||||
@@ -10,20 +10,38 @@ import traceback
|
||||
from cryptography.hazmat.primitives.asymmetric import ed25519
|
||||
|
||||
|
||||
def handle_validation(body: dict, bot_secret: str):
|
||||
# bot正确的secert是32位的，此处仅为了适配演示demo
|
||||
while len(bot_secret) < 32:
|
||||
bot_secret = bot_secret * 2
|
||||
bot_secret = bot_secret[:32]
|
||||
# 实际使用场景中以上三行内容可清除
|
||||
|
||||
seed_bytes = bot_secret.encode()
|
||||
|
||||
signing_key = ed25519.Ed25519PrivateKey.from_private_bytes(seed_bytes)
|
||||
|
||||
msg = body['d']['event_ts'] + body['d']['plain_token']
|
||||
msg_bytes = msg.encode()
|
||||
|
||||
signature = signing_key.sign(msg_bytes)
|
||||
|
||||
signature_hex = signature.hex()
|
||||
|
||||
response = {'plain_token': body['d']['plain_token'], 'signature': signature_hex}
|
||||
|
||||
return response
|
||||
|
||||
|
||||
class QQOfficialClient:
|
||||
def __init__(self, secret: str, token: str, app_id: str, logger: None, unified_mode: bool = False):
|
||||
self.unified_mode = unified_mode
|
||||
def __init__(self, secret: str, token: str, app_id: str, logger: None):
|
||||
self.app = Quart(__name__)
|
||||
|
||||
# 只有在非统一模式下才注册独立路由
|
||||
if not self.unified_mode:
|
||||
self.app.add_url_rule(
|
||||
'/callback/command',
|
||||
'handle_callback',
|
||||
self.handle_callback_request,
|
||||
methods=['GET', 'POST'],
|
||||
)
|
||||
|
||||
self.app.add_url_rule(
|
||||
'/callback/command',
|
||||
'handle_callback',
|
||||
self.handle_callback_request,
|
||||
methods=['GET', 'POST'],
|
||||
)
|
||||
self.secret = secret
|
||||
self.token = token
|
||||
self.app_id = app_id
|
||||
@@ -64,45 +82,18 @@ class QQOfficialClient:
|
||||
raise Exception(f'获取access_token失败: {e}')
|
||||
|
||||
async def handle_callback_request(self):
|
||||
"""处理回调请求（独立端口模式，使用全局 request）"""
|
||||
return await self._handle_callback_internal(request)
|
||||
|
||||
async def handle_unified_webhook(self, req):
|
||||
"""处理回调请求（统一 webhook 模式，显式传递 request）。
|
||||
|
||||
Args:
|
||||
req: Quart Request 对象
|
||||
|
||||
Returns:
|
||||
响应数据
|
||||
"""
|
||||
return await self._handle_callback_internal(req)
|
||||
|
||||
async def _handle_callback_internal(self, req):
|
||||
"""处理回调请求的内部实现。
|
||||
|
||||
Args:
|
||||
req: Quart Request 对象
|
||||
"""
|
||||
"""处理回调请求"""
|
||||
try:
|
||||
|
||||
body = await req.get_data()
|
||||
|
||||
print(f'[QQ Official] Received request, body length: {len(body)}')
|
||||
|
||||
if not body or len(body) == 0:
|
||||
print('[QQ Official] Received empty body, might be health check or GET request')
|
||||
return {'code': 0, 'message': 'ok'}, 200
|
||||
|
||||
# 读取请求数据
|
||||
body = await request.get_data()
|
||||
payload = json.loads(body)
|
||||
|
||||
|
||||
# 验证是否为回调验证请求
|
||||
if payload.get('op') == 13:
|
||||
validation_data = payload.get('d')
|
||||
if not validation_data:
|
||||
return {'error': "missing 'd' field"}, 400
|
||||
response = await self.verify(validation_data)
|
||||
return response, 200
|
||||
# 生成签名
|
||||
response = handle_validation(payload, self.secret)
|
||||
|
||||
return response
|
||||
|
||||
if payload.get('op') == 0:
|
||||
message_data = await self.get_message(payload)
|
||||
@@ -113,7 +104,6 @@ class QQOfficialClient:
|
||||
return {'code': 0, 'message': 'success'}
|
||||
|
||||
except Exception as e:
|
||||
print(f'[QQ Official] ERROR: {traceback.format_exc()}')
|
||||
await self.logger.error(f'Error in handle_callback_request: {traceback.format_exc()}')
|
||||
return {'error': str(e)}, 400
|
||||
|
||||
@@ -271,26 +261,3 @@ class QQOfficialClient:
|
||||
if self.access_token_expiry_time is None:
|
||||
return True
|
||||
return time.time() > self.access_token_expiry_time
|
||||
|
||||
async def repeat_seed(self, bot_secret: str, target_size: int = 32) -> bytes:
|
||||
seed = bot_secret
|
||||
while len(seed) < target_size:
|
||||
seed *= 2
|
||||
return seed[:target_size].encode("utf-8")
|
||||
|
||||
async def verify(self, validation_payload: dict):
|
||||
seed = await self.repeat_seed(self.secret)
|
||||
private_key = ed25519.Ed25519PrivateKey.from_private_bytes(seed)
|
||||
|
||||
event_ts = validation_payload.get("event_ts", "")
|
||||
plain_token = validation_payload.get("plain_token", "")
|
||||
msg = event_ts + plain_token
|
||||
|
||||
# sign
|
||||
signature = private_key.sign(msg.encode()).hex()
|
||||
|
||||
response = {
|
||||
"plain_token": plain_token,
|
||||
"signature": signature,
|
||||
}
|
||||
return response
|
||||
|
||||
@@ -8,19 +8,14 @@ import langbot_plugin.api.entities.builtin.platform.events as platform_events
|
||||
|
||||
|
||||
class SlackClient:
|
||||
def __init__(self, bot_token: str, signing_secret: str, logger: None, unified_mode: bool = False):
|
||||
def __init__(self, bot_token: str, signing_secret: str, logger: None):
|
||||
self.bot_token = bot_token
|
||||
self.signing_secret = signing_secret
|
||||
self.unified_mode = unified_mode
|
||||
self.app = Quart(__name__)
|
||||
self.client = AsyncWebClient(self.bot_token)
|
||||
|
||||
# 只有在非统一模式下才注册独立路由
|
||||
if not self.unified_mode:
|
||||
self.app.add_url_rule(
|
||||
'/callback/command', 'handle_callback', self.handle_callback_request, methods=['GET', 'POST']
|
||||
)
|
||||
|
||||
self.app.add_url_rule(
|
||||
'/callback/command', 'handle_callback', self.handle_callback_request, methods=['GET', 'POST']
|
||||
)
|
||||
self._message_handlers = {
|
||||
'example': [],
|
||||
}
|
||||
@@ -28,28 +23,8 @@ class SlackClient:
|
||||
self.logger = logger
|
||||
|
||||
async def handle_callback_request(self):
|
||||
"""处理回调请求（独立端口模式，使用全局 request）"""
|
||||
return await self._handle_callback_internal(request)
|
||||
|
||||
async def handle_unified_webhook(self, req):
|
||||
"""处理回调请求（统一 webhook 模式，显式传递 request）。
|
||||
|
||||
Args:
|
||||
req: Quart Request 对象
|
||||
|
||||
Returns:
|
||||
响应数据
|
||||
"""
|
||||
return await self._handle_callback_internal(req)
|
||||
|
||||
async def _handle_callback_internal(self, req):
|
||||
"""处理回调请求的内部实现。
|
||||
|
||||
Args:
|
||||
req: Quart Request 对象
|
||||
"""
|
||||
try:
|
||||
body = await req.get_data()
|
||||
body = await request.get_data()
|
||||
data = json.loads(body)
|
||||
if 'type' in data:
|
||||
if data['type'] == 'url_verification':
|
||||
|
||||
@@ -200,7 +200,7 @@ class StreamSessionManager:
|
||||
|
||||
|
||||
class WecomBotClient:
|
||||
def __init__(self, Token: str, EnCodingAESKey: str, Corpid: str, logger: EventLogger, unified_mode: bool = False):
|
||||
def __init__(self, Token: str, EnCodingAESKey: str, Corpid: str, logger: EventLogger):
|
||||
"""企业微信智能机器人客户端。
|
||||
|
||||
Args:
|
||||
@@ -208,7 +208,6 @@ class WecomBotClient:
|
||||
EnCodingAESKey: 企业微信消息加解密密钥。
|
||||
Corpid: 企业 ID。
|
||||
logger: 日志记录器。
|
||||
unified_mode: 是否使用统一 webhook 模式（默认 False）。
|
||||
|
||||
Example:
|
||||
>>> client = WecomBotClient(Token='token', EnCodingAESKey='aeskey', Corpid='corp', logger=logger)
|
||||
@@ -218,15 +217,10 @@ class WecomBotClient:
|
||||
self.EnCodingAESKey = EnCodingAESKey
|
||||
self.Corpid = Corpid
|
||||
self.ReceiveId = ''
|
||||
self.unified_mode = unified_mode
|
||||
self.app = Quart(__name__)
|
||||
|
||||
# 只有在非统一模式下才注册独立路由
|
||||
if not self.unified_mode:
|
||||
self.app.add_url_rule(
|
||||
'/callback/command', 'handle_callback', self.handle_callback_request, methods=['POST', 'GET']
|
||||
)
|
||||
|
||||
self.app.add_url_rule(
|
||||
'/callback/command', 'handle_callback', self.handle_callback_request, methods=['POST', 'GET']
|
||||
)
|
||||
self._message_handlers = {
|
||||
'example': [],
|
||||
}
|
||||
@@ -365,7 +359,7 @@ class WecomBotClient:
|
||||
return await self._encrypt_and_reply(payload, nonce)
|
||||
|
||||
async def handle_callback_request(self):
|
||||
"""企业微信回调入口（独立端口模式，使用全局 request）。
|
||||
"""企业微信回调入口。
|
||||
|
||||
Returns:
|
||||
Quart Response: 根据请求类型返回验证、首包或刷新结果。
|
||||
@@ -373,33 +367,15 @@ class WecomBotClient:
|
||||
Example:
|
||||
作为 Quart 路由处理函数直接注册并使用。
|
||||
"""
|
||||
return await self._handle_callback_internal(request)
|
||||
|
||||
async def handle_unified_webhook(self, req):
|
||||
"""处理回调请求（统一 webhook 模式，显式传递 request）。
|
||||
|
||||
Args:
|
||||
req: Quart Request 对象
|
||||
|
||||
Returns:
|
||||
响应数据
|
||||
"""
|
||||
return await self._handle_callback_internal(req)
|
||||
|
||||
async def _handle_callback_internal(self, req):
|
||||
"""处理回调请求的内部实现，包括 GET 验证和 POST 消息接收。
|
||||
|
||||
Args:
|
||||
req: Quart Request 对象
|
||||
"""
|
||||
try:
|
||||
self.wxcpt = WXBizMsgCrypt(self.Token, self.EnCodingAESKey, '')
|
||||
await self.logger.info(f'{request.method} {request.url} {str(request.args)}')
|
||||
|
||||
if req.method == 'GET':
|
||||
return await self._handle_get_callback(req)
|
||||
if request.method == 'GET':
|
||||
return await self._handle_get_callback()
|
||||
|
||||
if req.method == 'POST':
|
||||
return await self._handle_post_callback(req)
|
||||
if request.method == 'POST':
|
||||
return await self._handle_post_callback()
|
||||
|
||||
return Response('', status=405)
|
||||
|
||||
@@ -407,13 +383,13 @@ class WecomBotClient:
|
||||
await self.logger.error(traceback.format_exc())
|
||||
return Response('Internal Server Error', status=500)
|
||||
|
||||
async def _handle_get_callback(self, req) -> tuple[Response, int] | Response:
|
||||
async def _handle_get_callback(self) -> tuple[Response, int] | Response:
|
||||
"""处理企业微信的 GET 验证请求。"""
|
||||
|
||||
msg_signature = unquote(req.args.get('msg_signature', ''))
|
||||
timestamp = unquote(req.args.get('timestamp', ''))
|
||||
nonce = unquote(req.args.get('nonce', ''))
|
||||
echostr = unquote(req.args.get('echostr', ''))
|
||||
msg_signature = unquote(request.args.get('msg_signature', ''))
|
||||
timestamp = unquote(request.args.get('timestamp', ''))
|
||||
nonce = unquote(request.args.get('nonce', ''))
|
||||
echostr = unquote(request.args.get('echostr', ''))
|
||||
|
||||
if not all([msg_signature, timestamp, nonce, echostr]):
|
||||
await self.logger.error('请求参数缺失')
|
||||
@@ -426,16 +402,16 @@ class WecomBotClient:
|
||||
|
||||
return Response(decrypted_str, mimetype='text/plain')
|
||||
|
||||
async def _handle_post_callback(self, req) -> tuple[Response, int] | Response:
|
||||
async def _handle_post_callback(self) -> tuple[Response, int] | Response:
|
||||
"""处理企业微信的 POST 回调请求。"""
|
||||
|
||||
self.stream_sessions.cleanup()
|
||||
|
||||
msg_signature = unquote(req.args.get('msg_signature', ''))
|
||||
timestamp = unquote(req.args.get('timestamp', ''))
|
||||
nonce = unquote(req.args.get('nonce', ''))
|
||||
msg_signature = unquote(request.args.get('msg_signature', ''))
|
||||
timestamp = unquote(request.args.get('timestamp', ''))
|
||||
nonce = unquote(request.args.get('nonce', ''))
|
||||
|
||||
encrypted_json = await req.get_json()
|
||||
encrypted_json = await request.get_json()
|
||||
encrypted_msg = (encrypted_json or {}).get('encrypt', '')
|
||||
if not encrypted_msg:
|
||||
await self.logger.error("请求体中缺少 'encrypt' 字段")
|
||||
@@ -457,174 +433,32 @@ class WecomBotClient:
|
||||
async def get_message(self, msg_json):
|
||||
message_data = {}
|
||||
|
||||
msg_type = msg_json.get('msgtype', '')
|
||||
if msg_type:
|
||||
message_data['msgtype'] = msg_type
|
||||
|
||||
if msg_json.get('chattype', '') == 'single':
|
||||
message_data['type'] = 'single'
|
||||
elif msg_json.get('chattype', '') == 'group':
|
||||
message_data['type'] = 'group'
|
||||
|
||||
max_inline_file_size = 5 * 1024 * 1024 # avoid decoding very large payloads by default
|
||||
|
||||
async def _safe_download(url: str):
|
||||
if not url:
|
||||
return None
|
||||
return await self.download_url_to_base64(url, self.EnCodingAESKey)
|
||||
|
||||
if msg_type == 'text':
|
||||
if msg_json.get('msgtype') == 'text':
|
||||
message_data['content'] = msg_json.get('text', {}).get('content')
|
||||
elif msg_type == 'markdown':
|
||||
message_data['content'] = msg_json.get('markdown', {}).get('content') or msg_json.get('text', {}).get(
|
||||
'content', ''
|
||||
)
|
||||
elif msg_type == 'image':
|
||||
elif msg_json.get('msgtype') == 'image':
|
||||
picurl = msg_json.get('image', {}).get('url', '')
|
||||
base64_data = await _safe_download(picurl)
|
||||
if base64_data:
|
||||
message_data['picurl'] = base64_data
|
||||
message_data['images'] = [base64_data]
|
||||
elif msg_type == 'voice':
|
||||
voice_info = msg_json.get('voice', {}) or {}
|
||||
download_url = voice_info.get('url')
|
||||
message_data['voice'] = {
|
||||
'url': download_url,
|
||||
'md5sum': voice_info.get('md5sum') or voice_info.get('md5'),
|
||||
'filesize': voice_info.get('filesize') or voice_info.get('size'),
|
||||
'sdkfileid': voice_info.get('sdkfileid') or voice_info.get('fileid'),
|
||||
}
|
||||
# 企业微信智能转写文本（如果已有）直接复用，避免重复转写
|
||||
if voice_info.get('content'):
|
||||
message_data['content'] = voice_info.get('content')
|
||||
if (message_data['voice'].get('filesize') or 0) <= max_inline_file_size:
|
||||
voice_base64 = await _safe_download(download_url)
|
||||
if voice_base64:
|
||||
message_data['voice']['base64'] = voice_base64
|
||||
elif msg_type == 'video':
|
||||
video_info = msg_json.get('video', {}) or {}
|
||||
download_url = video_info.get('url')
|
||||
video_data = {
|
||||
'url': download_url,
|
||||
'filesize': video_info.get('filesize') or video_info.get('size'),
|
||||
'sdkfileid': video_info.get('sdkfileid') or video_info.get('fileid'),
|
||||
'md5sum': video_info.get('md5sum') or video_info.get('md5'),
|
||||
'filename': video_info.get('filename') or video_info.get('name'),
|
||||
}
|
||||
if (video_data.get('filesize') or 0) <= max_inline_file_size:
|
||||
video_base64 = await _safe_download(download_url)
|
||||
if video_base64:
|
||||
video_data['base64'] = video_base64
|
||||
message_data['video'] = video_data
|
||||
elif msg_type == 'file':
|
||||
file_info = msg_json.get('file', {}) or {}
|
||||
download_url = file_info.get('url') or file_info.get('fileurl')
|
||||
file_data = {
|
||||
'filename': file_info.get('filename') or file_info.get('name'),
|
||||
'filesize': file_info.get('filesize') or file_info.get('size'),
|
||||
'md5sum': file_info.get('md5sum') or file_info.get('md5'),
|
||||
'sdkfileid': file_info.get('sdkfileid') or file_info.get('fileid'),
|
||||
'download_url': download_url,
|
||||
'extra': file_info,
|
||||
}
|
||||
if (file_data.get('filesize') or 0) <= max_inline_file_size:
|
||||
file_base64 = await _safe_download(download_url)
|
||||
if file_base64:
|
||||
file_data['base64'] = file_base64
|
||||
message_data['file'] = file_data
|
||||
elif msg_type == 'link':
|
||||
message_data['link'] = msg_json.get('link', {})
|
||||
if not message_data.get('content'):
|
||||
title = message_data['link'].get('title', '')
|
||||
desc = message_data['link'].get('description') or message_data['link'].get('digest', '')
|
||||
message_data['content'] = '\n'.join(filter(None, [title, desc]))
|
||||
elif msg_type == 'mixed':
|
||||
base64 = await self.download_url_to_base64(picurl, self.EnCodingAESKey)
|
||||
message_data['picurl'] = base64
|
||||
elif msg_json.get('msgtype') == 'mixed':
|
||||
items = msg_json.get('mixed', {}).get('msg_item', [])
|
||||
texts = []
|
||||
images = []
|
||||
files = []
|
||||
voices = []
|
||||
videos = []
|
||||
links = []
|
||||
picurl = None
|
||||
for item in items:
|
||||
item_type = item.get('msgtype')
|
||||
if item_type == 'text':
|
||||
if item.get('msgtype') == 'text':
|
||||
texts.append(item.get('text', {}).get('content', ''))
|
||||
elif item_type == 'image':
|
||||
img_url = item.get('image', {}).get('url')
|
||||
base64_data = await _safe_download(img_url)
|
||||
if base64_data:
|
||||
images.append(base64_data)
|
||||
elif item_type == 'file':
|
||||
file_info = item.get('file', {}) or {}
|
||||
download_url = file_info.get('url') or file_info.get('fileurl')
|
||||
file_data = {
|
||||
'filename': file_info.get('filename') or file_info.get('name'),
|
||||
'filesize': file_info.get('filesize') or file_info.get('size'),
|
||||
'md5sum': file_info.get('md5sum') or file_info.get('md5'),
|
||||
'sdkfileid': file_info.get('sdkfileid') or file_info.get('fileid'),
|
||||
'download_url': download_url,
|
||||
'extra': file_info,
|
||||
}
|
||||
if (file_data.get('filesize') or 0) <= max_inline_file_size:
|
||||
file_base64 = await _safe_download(download_url)
|
||||
if file_base64:
|
||||
file_data['base64'] = file_base64
|
||||
files.append(file_data)
|
||||
elif item_type == 'voice':
|
||||
voice_info = item.get('voice', {}) or {}
|
||||
download_url = voice_info.get('url')
|
||||
voice_data = {
|
||||
'url': download_url,
|
||||
'md5sum': voice_info.get('md5sum') or voice_info.get('md5'),
|
||||
'filesize': voice_info.get('filesize') or voice_info.get('size'),
|
||||
'sdkfileid': voice_info.get('sdkfileid') or voice_info.get('fileid'),
|
||||
}
|
||||
if voice_info.get('content'):
|
||||
texts.append(voice_info.get('content'))
|
||||
if (voice_data.get('filesize') or 0) <= max_inline_file_size:
|
||||
voice_base64 = await _safe_download(download_url)
|
||||
if voice_base64:
|
||||
voice_data['base64'] = voice_base64
|
||||
voices.append(voice_data)
|
||||
elif item_type == 'video':
|
||||
video_info = item.get('video', {}) or {}
|
||||
download_url = video_info.get('url')
|
||||
video_data = {
|
||||
'url': download_url,
|
||||
'filesize': video_info.get('filesize') or video_info.get('size'),
|
||||
'sdkfileid': video_info.get('sdkfileid') or video_info.get('fileid'),
|
||||
'md5sum': video_info.get('md5sum') or video_info.get('md5'),
|
||||
'filename': video_info.get('filename') or video_info.get('name'),
|
||||
}
|
||||
if (video_data.get('filesize') or 0) <= max_inline_file_size:
|
||||
video_base64 = await _safe_download(download_url)
|
||||
if video_base64:
|
||||
video_data['base64'] = video_base64
|
||||
videos.append(video_data)
|
||||
elif item_type == 'link':
|
||||
links.append(item.get('link', {}))
|
||||
elif item.get('msgtype') == 'image' and picurl is None:
|
||||
picurl = item.get('image', {}).get('url')
|
||||
|
||||
if texts:
|
||||
message_data['content'] = ' '.join(texts) # 拼接所有 text
|
||||
if images:
|
||||
message_data['images'] = images
|
||||
message_data['picurl'] = images[0] # 只保留第一个 image
|
||||
if files:
|
||||
message_data['files'] = files
|
||||
message_data['file'] = files[0]
|
||||
if voices:
|
||||
message_data['voices'] = voices
|
||||
message_data['voice'] = voices[0]
|
||||
if videos:
|
||||
message_data['videos'] = videos
|
||||
message_data['video'] = videos[0]
|
||||
if links:
|
||||
message_data['link'] = links[0]
|
||||
if items:
|
||||
message_data['attachments'] = items
|
||||
else:
|
||||
message_data['raw_msg'] = msg_json
|
||||
message_data['content'] = ''.join(texts) # 拼接所有 text
|
||||
if picurl:
|
||||
base64 = await self.download_url_to_base64(picurl, self.EnCodingAESKey)
|
||||
message_data['picurl'] = base64 # 只保留第一个 image
|
||||
|
||||
# Extract user information
|
||||
from_info = msg_json.get('from', {})
|
||||
|
||||
@@ -17,13 +17,6 @@ class WecomBotEvent(dict):
|
||||
"""
|
||||
return self.get('type', '')
|
||||
|
||||
@property
|
||||
def msgtype(self) -> str:
|
||||
"""
|
||||
消息 msgtype
|
||||
"""
|
||||
return self.get('msgtype', '')
|
||||
|
||||
@property
|
||||
def userid(self) -> str:
|
||||
"""
|
||||
@@ -36,7 +29,12 @@ class WecomBotEvent(dict):
|
||||
"""
|
||||
用户名称
|
||||
"""
|
||||
return self.get('username', '') or self.get('from', {}).get('alias', '') or self.get('from', {}).get('name', '') or self.userid
|
||||
return (
|
||||
self.get('username', '')
|
||||
or self.get('from', {}).get('alias', '')
|
||||
or self.get('from', {}).get('name', '')
|
||||
or self.userid
|
||||
)
|
||||
|
||||
@property
|
||||
def chatname(self) -> str:
|
||||
@@ -59,55 +57,6 @@ class WecomBotEvent(dict):
|
||||
"""
|
||||
return self.get('picurl', '')
|
||||
|
||||
@property
|
||||
def images(self):
|
||||
"""
|
||||
图片列表（兼容 mixed）
|
||||
"""
|
||||
return self.get('images', [])
|
||||
|
||||
@property
|
||||
def file(self):
|
||||
"""
|
||||
文件信息
|
||||
"""
|
||||
return self.get('file', {})
|
||||
|
||||
@property
|
||||
def voice(self):
|
||||
"""
|
||||
语音信息
|
||||
"""
|
||||
return self.get('voice', {})
|
||||
|
||||
@property
|
||||
def video(self):
|
||||
"""
|
||||
视频信息
|
||||
"""
|
||||
return self.get('video', {})
|
||||
|
||||
@property
|
||||
def link(self):
|
||||
"""
|
||||
链接消息信息
|
||||
"""
|
||||
return self.get('link', {})
|
||||
|
||||
@property
|
||||
def location(self):
|
||||
"""
|
||||
位置信息
|
||||
"""
|
||||
return self.get('location', {})
|
||||
|
||||
@property
|
||||
def attachments(self):
|
||||
"""
|
||||
原始 mixed 中的附件项
|
||||
"""
|
||||
return self.get('attachments', [])
|
||||
|
||||
@property
|
||||
def chatid(self) -> str:
|
||||
"""
|
||||
@@ -121,7 +70,7 @@ class WecomBotEvent(dict):
|
||||
消息id
|
||||
"""
|
||||
return self.get('msgid', '')
|
||||
|
||||
|
||||
@property
|
||||
def ai_bot_id(self) -> str:
|
||||
"""
|
||||
|
||||
@@ -21,7 +21,6 @@ class WecomClient:
|
||||
EncodingAESKey: str,
|
||||
contacts_secret: str,
|
||||
logger: None,
|
||||
unified_mode: bool = False,
|
||||
):
|
||||
self.corpid = corpid
|
||||
self.secret = secret
|
||||
@@ -32,18 +31,13 @@ class WecomClient:
|
||||
self.access_token = ''
|
||||
self.secret_for_contacts = contacts_secret
|
||||
self.logger = logger
|
||||
self.unified_mode = unified_mode
|
||||
self.app = Quart(__name__)
|
||||
|
||||
# 只有在非统一模式下才注册独立路由
|
||||
if not self.unified_mode:
|
||||
self.app.add_url_rule(
|
||||
'/callback/command',
|
||||
'handle_callback',
|
||||
self.handle_callback_request,
|
||||
methods=['GET', 'POST'],
|
||||
)
|
||||
|
||||
self.app.add_url_rule(
|
||||
'/callback/command',
|
||||
'handle_callback',
|
||||
self.handle_callback_request,
|
||||
methods=['GET', 'POST'],
|
||||
)
|
||||
self._message_handlers = {
|
||||
'example': [],
|
||||
}
|
||||
@@ -115,13 +109,14 @@ class WecomClient:
|
||||
async def send_image(self, user_id: str, agent_id: int, media_id: str):
|
||||
if not await self.check_access_token():
|
||||
self.access_token = await self.get_access_token(self.secret)
|
||||
|
||||
url = self.base_url + '/message/send?access_token=' + self.access_token
|
||||
url = self.base_url + '/media/upload?access_token=' + self.access_token
|
||||
async with httpx.AsyncClient() as client:
|
||||
params = {
|
||||
'touser': user_id,
|
||||
'msgtype': 'image',
|
||||
'toparty': '',
|
||||
'totag': '',
|
||||
'agentid': agent_id,
|
||||
'msgtype': 'image',
|
||||
'image': {
|
||||
'media_id': media_id,
|
||||
},
|
||||
@@ -130,67 +125,21 @@ class WecomClient:
|
||||
'enable_duplicate_check': 0,
|
||||
'duplicate_check_interval': 1800,
|
||||
}
|
||||
response = await client.post(url, json=params)
|
||||
data = response.json()
|
||||
try:
|
||||
response = await client.post(url, json=params)
|
||||
data = response.json()
|
||||
except Exception as e:
|
||||
await self.logger.error(f'发送图片失败:{data}')
|
||||
raise Exception('Failed to send image: ' + str(e))
|
||||
|
||||
# 企业微信错误码40014和42001，代表accesstoken问题
|
||||
if data['errcode'] == 40014 or data['errcode'] == 42001:
|
||||
self.access_token = await self.get_access_token(self.secret)
|
||||
return await self.send_image(user_id, agent_id, media_id)
|
||||
|
||||
if data['errcode'] != 0:
|
||||
await self.logger.error(f'发送图片失败:{data}')
|
||||
raise Exception('Failed to send image: ' + str(data))
|
||||
|
||||
async def send_voice(self, user_id: str, agent_id: int, media_id: str):
|
||||
if not await self.check_access_token():
|
||||
self.access_token = await self.get_access_token(self.secret)
|
||||
url = self.base_url + '/message/send?access_token=' + self.access_token
|
||||
async with httpx.AsyncClient() as client:
|
||||
params = {
|
||||
'touser': user_id,
|
||||
'msgtype': 'voice',
|
||||
'agentid': agent_id,
|
||||
'voice': {
|
||||
'media_id': media_id,
|
||||
},
|
||||
'safe': 0,
|
||||
'enable_id_trans': 0,
|
||||
'enable_duplicate_check': 0,
|
||||
'duplicate_check_interval': 1800,
|
||||
}
|
||||
response = await client.post(url, json=params)
|
||||
data = response.json()
|
||||
if data['errcode'] == 40014 or data['errcode'] == 42001:
|
||||
self.access_token = await self.get_access_token(self.secret)
|
||||
return await self.send_voice(user_id, agent_id, media_id)
|
||||
if data['errcode'] != 0:
|
||||
await self.logger.error(f'发送语音失败:{data}')
|
||||
raise Exception('Failed to send voice: ' + str(data))
|
||||
|
||||
async def send_file(self, user_id: str, agent_id: int, media_id: str):
|
||||
if not await self.check_access_token():
|
||||
self.access_token = await self.get_access_token(self.secret)
|
||||
url = self.base_url + '/message/send?access_token=' + self.access_token
|
||||
async with httpx.AsyncClient() as client:
|
||||
params = {
|
||||
'touser': user_id,
|
||||
'msgtype': 'file',
|
||||
'agentid': agent_id,
|
||||
'file': {
|
||||
'media_id': media_id,
|
||||
},
|
||||
'safe': 0,
|
||||
'enable_id_trans': 0,
|
||||
'enable_duplicate_check': 0,
|
||||
'duplicate_check_interval': 1800,
|
||||
}
|
||||
response = await client.post(url, json=params)
|
||||
data = response.json()
|
||||
if data['errcode'] == 40014 or data['errcode'] == 42001:
|
||||
self.access_token = await self.get_access_token(self.secret)
|
||||
return await self.send_file(user_id, agent_id, media_id)
|
||||
if data['errcode'] != 0:
|
||||
await self.logger.error(f'发送文件失败:{data}')
|
||||
raise Exception('Failed to send file: ' + str(data))
|
||||
|
||||
async def send_private_msg(self, user_id: str, agent_id: int, content: str):
|
||||
if not await self.check_access_token():
|
||||
self.access_token = await self.get_access_token(self.secret)
|
||||
@@ -219,43 +168,25 @@ class WecomClient:
|
||||
raise Exception('Failed to send message: ' + str(data))
|
||||
|
||||
async def handle_callback_request(self):
|
||||
"""处理回调请求（独立端口模式，使用全局 request）。"""
|
||||
return await self._handle_callback_internal(request)
|
||||
|
||||
async def handle_unified_webhook(self, req):
|
||||
"""处理回调请求（统一 webhook 模式，显式传递 request）。
|
||||
|
||||
Args:
|
||||
req: Quart Request 对象
|
||||
|
||||
Returns:
|
||||
响应数据
|
||||
"""
|
||||
return await self._handle_callback_internal(req)
|
||||
|
||||
async def _handle_callback_internal(self, req):
|
||||
"""
|
||||
处理回调请求的内部实现，包括 GET 验证和 POST 消息接收。
|
||||
|
||||
Args:
|
||||
req: Quart Request 对象
|
||||
处理回调请求，包括 GET 验证和 POST 消息接收。
|
||||
"""
|
||||
try:
|
||||
msg_signature = req.args.get('msg_signature')
|
||||
timestamp = req.args.get('timestamp')
|
||||
nonce = req.args.get('nonce')
|
||||
msg_signature = request.args.get('msg_signature')
|
||||
timestamp = request.args.get('timestamp')
|
||||
nonce = request.args.get('nonce')
|
||||
|
||||
wxcpt = WXBizMsgCrypt(self.token, self.aes, self.corpid)
|
||||
if req.method == 'GET':
|
||||
echostr = req.args.get('echostr')
|
||||
if request.method == 'GET':
|
||||
echostr = request.args.get('echostr')
|
||||
ret, reply_echo_str = wxcpt.VerifyURL(msg_signature, timestamp, nonce, echostr)
|
||||
if ret != 0:
|
||||
await self.logger.error('验证失败')
|
||||
raise Exception(f'验证失败，错误码: {ret}')
|
||||
return reply_echo_str
|
||||
|
||||
elif req.method == 'POST':
|
||||
encrypt_msg = await req.data
|
||||
elif request.method == 'POST':
|
||||
encrypt_msg = await request.data
|
||||
ret, xml_msg = wxcpt.DecryptMsg(encrypt_msg, msg_signature, timestamp, nonce)
|
||||
if ret != 0:
|
||||
await self.logger.error('消息解密失败')
|
||||
@@ -339,7 +270,7 @@ class WecomClient:
|
||||
return ext
|
||||
return 'jpg' # 默认返回jpg
|
||||
|
||||
async def upload_image_to_work(self, image: platform_message.Image):
|
||||
async def upload_to_work(self, image: platform_message.Image):
|
||||
"""
|
||||
获取 media_id
|
||||
"""
|
||||
@@ -356,7 +287,7 @@ class WecomClient:
|
||||
file_bytes = await f.read()
|
||||
file_name = image.path.split('/')[-1]
|
||||
elif image.url:
|
||||
file_bytes = await self.download_media_to_bytes(image.url)
|
||||
file_bytes = await self.download_image_to_bytes(image.url)
|
||||
file_name = image.url.split('/')[-1]
|
||||
elif image.base64:
|
||||
try:
|
||||
@@ -391,7 +322,7 @@ class WecomClient:
|
||||
data = response.json()
|
||||
if data['errcode'] == 40014 or data['errcode'] == 42001:
|
||||
self.access_token = await self.get_access_token(self.secret)
|
||||
media_id = await self.upload_image_to_work(image)
|
||||
media_id = await self.upload_to_work(image)
|
||||
if data.get('errcode', 0) != 0:
|
||||
await self.logger.error(f'上传图片失败:{data}')
|
||||
raise Exception('failed to upload file')
|
||||
@@ -399,128 +330,13 @@ class WecomClient:
|
||||
media_id = data.get('media_id')
|
||||
return media_id
|
||||
|
||||
async def upload_voice_to_work(self, voice: platform_message.Voice):
|
||||
"""
|
||||
上传语音文件到企业微信
|
||||
"""
|
||||
if not await self.check_access_token():
|
||||
self.access_token = await self.get_access_token(self.secret)
|
||||
url = self.base_url + '/media/upload?access_token=' + self.access_token + '&type=file'
|
||||
file_bytes = None
|
||||
file_name = 'voice.mp3'
|
||||
|
||||
if voice.path:
|
||||
async with aiofiles.open(voice.path, 'rb') as f:
|
||||
file_bytes = await f.read()
|
||||
file_name = voice.path.split('/')[-1]
|
||||
elif voice.url:
|
||||
file_bytes = await self.download_media_to_bytes(voice.url)
|
||||
file_name = voice.url.split('/')[-1]
|
||||
elif voice.base64:
|
||||
try:
|
||||
base64_data = voice.base64
|
||||
if ',' in base64_data:
|
||||
base64_data = base64_data.split(',', 1)[1]
|
||||
padding = 4 - (len(base64_data) % 4) if len(base64_data) % 4 else 0
|
||||
padded_base64 = base64_data + '=' * padding
|
||||
file_bytes = base64.b64decode(padded_base64)
|
||||
except binascii.Error as e:
|
||||
raise ValueError(f'Invalid base64 string: {str(e)}')
|
||||
else:
|
||||
await self.logger.error('Voice对象出错')
|
||||
raise ValueError('voice对象出错')
|
||||
|
||||
boundary = '-------------------------acebdf13572468'
|
||||
headers = {'Content-Type': f'multipart/form-data; boundary={boundary}'}
|
||||
body = (
|
||||
(
|
||||
f'--{boundary}\r\n'
|
||||
f'Content-Disposition: form-data; name="media"; filename="{file_name}"; filelength={len(file_bytes)}\r\n'
|
||||
f'Content-Type: application/octet-stream\r\n\r\n'
|
||||
).encode('utf-8')
|
||||
+ file_bytes
|
||||
+ f'\r\n--{boundary}--\r\n'.encode('utf-8')
|
||||
)
|
||||
|
||||
# print(body)
|
||||
async with httpx.AsyncClient() as client:
|
||||
response = await client.post(url, headers=headers, content=body)
|
||||
data = response.json()
|
||||
if data['errcode'] == 40014 or data['errcode'] == 42001:
|
||||
self.access_token = await self.get_access_token(self.secret)
|
||||
media_id = await self.upload_voice_to_work(voice)
|
||||
if data.get('errcode', 0) != 0:
|
||||
await self.logger.error(f'上传语音文件失败:{data}')
|
||||
raise Exception('failed to upload file')
|
||||
media_id = data.get('media_id')
|
||||
return media_id
|
||||
|
||||
async def upload_file_to_work(self, file: platform_message.File):
|
||||
"""
|
||||
上传文件到企业微信
|
||||
"""
|
||||
if not await self.check_access_token():
|
||||
self.access_token = await self.get_access_token(self.secret)
|
||||
url = self.base_url + '/media/upload?access_token=' + self.access_token + '&type=file'
|
||||
file_bytes = None
|
||||
file_name = 'file.txt'
|
||||
if file.path:
|
||||
async with aiofiles.open(file.path, 'rb') as f:
|
||||
file_bytes = await f.read()
|
||||
file_name = file.path.split('/')[-1]
|
||||
elif file.url:
|
||||
file_bytes = await self.download_media_to_bytes(file.url)
|
||||
file_name = file.url.split('/')[-1]
|
||||
elif file.base64:
|
||||
try:
|
||||
base64_data = file.base64
|
||||
if ',' in base64_data:
|
||||
base64_data = base64_data.split(',', 1)[1]
|
||||
padding = 4 - (len(base64_data) % 4) if len(base64_data) % 4 else 0
|
||||
padded_base64 = base64_data + '=' * padding
|
||||
file_bytes = base64.b64decode(padded_base64)
|
||||
except binascii.Error as e:
|
||||
raise ValueError(f'Invalid base64 string: {str(e)}')
|
||||
else:
|
||||
await self.logger.error('File对象出错')
|
||||
raise ValueError('file对象出错')
|
||||
boundary = '-------------------------acebdf13572468'
|
||||
headers = {'Content-Type': f'multipart/form-data; boundary={boundary}'}
|
||||
body = (
|
||||
(
|
||||
f'--{boundary}\r\n'
|
||||
f'Content-Disposition: form-data; name="media"; filename="{file_name}"; filelength={len(file_bytes)}\r\n'
|
||||
f'Content-Type: application/octet-stream\r\n\r\n'
|
||||
).encode('utf-8')
|
||||
+ file_bytes
|
||||
+ f'\r\n--{boundary}--\r\n'.encode('utf-8')
|
||||
)
|
||||
async with httpx.AsyncClient() as client:
|
||||
response = await client.post(url, headers=headers, content=body)
|
||||
data = response.json()
|
||||
if data['errcode'] == 40014 or data['errcode'] == 42001:
|
||||
self.access_token = await self.get_access_token(self.secret)
|
||||
media_id = await self.upload_file_to_work(file)
|
||||
if data.get('errcode', 0) != 0:
|
||||
await self.logger.error(f'上传文件失败:{data}')
|
||||
raise Exception('failed to upload file')
|
||||
media_id = data.get('media_id')
|
||||
return media_id
|
||||
|
||||
async def download_media_to_bytes(self, url: str) -> bytes:
|
||||
async def download_image_to_bytes(self, url: str) -> bytes:
|
||||
async with httpx.AsyncClient() as client:
|
||||
response = await client.get(url)
|
||||
response.raise_for_status()
|
||||
return response.content
|
||||
|
||||
# 进行media_id的获取
|
||||
async def get_media_id(self, media: platform_message.Image | platform_message.Voice | platform_message.File):
|
||||
if isinstance(media, platform_message.Image):
|
||||
media_id = await self.upload_image_to_work(image=media)
|
||||
elif isinstance(media, platform_message.Voice):
|
||||
media_id = await self.upload_voice_to_work(voice=media)
|
||||
elif isinstance(media, platform_message.File):
|
||||
media_id = await self.upload_file_to_work(file=media)
|
||||
else:
|
||||
raise ValueError('Unsupported media type')
|
||||
async def get_media_id(self, image: platform_message.Image):
|
||||
media_id = await self.upload_to_work(image=image)
|
||||
return media_id
|
||||
|
||||
@@ -13,7 +13,7 @@ import aiofiles
|
||||
|
||||
|
||||
class WecomCSClient:
|
||||
def __init__(self, corpid: str, secret: str, token: str, EncodingAESKey: str, logger: None, unified_mode: bool = False):
|
||||
def __init__(self, corpid: str, secret: str, token: str, EncodingAESKey: str, logger: None):
|
||||
self.corpid = corpid
|
||||
self.secret = secret
|
||||
self.access_token_for_contacts = ''
|
||||
@@ -22,15 +22,10 @@ class WecomCSClient:
|
||||
self.base_url = 'https://qyapi.weixin.qq.com/cgi-bin'
|
||||
self.access_token = ''
|
||||
self.logger = logger
|
||||
self.unified_mode = unified_mode
|
||||
self.app = Quart(__name__)
|
||||
|
||||
# 只有在非统一模式下才注册独立路由
|
||||
if not self.unified_mode:
|
||||
self.app.add_url_rule(
|
||||
'/callback/command', 'handle_callback', self.handle_callback_request, methods=['GET', 'POST']
|
||||
)
|
||||
|
||||
self.app.add_url_rule(
|
||||
'/callback/command', 'handle_callback', self.handle_callback_request, methods=['GET', 'POST']
|
||||
)
|
||||
self._message_handlers = {
|
||||
'example': [],
|
||||
}
|
||||
@@ -197,45 +192,27 @@ class WecomCSClient:
|
||||
return data
|
||||
|
||||
async def handle_callback_request(self):
|
||||
"""处理回调请求（独立端口模式，使用全局 request）。"""
|
||||
return await self._handle_callback_internal(request)
|
||||
|
||||
async def handle_unified_webhook(self, req):
|
||||
"""处理回调请求（统一 webhook 模式，显式传递 request）。
|
||||
|
||||
Args:
|
||||
req: Quart Request 对象
|
||||
|
||||
Returns:
|
||||
响应数据
|
||||
"""
|
||||
return await self._handle_callback_internal(req)
|
||||
|
||||
async def _handle_callback_internal(self, req):
|
||||
"""
|
||||
处理回调请求的内部实现，包括 GET 验证和 POST 消息接收。
|
||||
|
||||
Args:
|
||||
req: Quart Request 对象
|
||||
处理回调请求，包括 GET 验证和 POST 消息接收。
|
||||
"""
|
||||
try:
|
||||
msg_signature = req.args.get('msg_signature')
|
||||
timestamp = req.args.get('timestamp')
|
||||
nonce = req.args.get('nonce')
|
||||
msg_signature = request.args.get('msg_signature')
|
||||
timestamp = request.args.get('timestamp')
|
||||
nonce = request.args.get('nonce')
|
||||
try:
|
||||
wxcpt = WXBizMsgCrypt(self.token, self.aes, self.corpid)
|
||||
except Exception as e:
|
||||
raise Exception(f'初始化失败，错误码: {e}')
|
||||
|
||||
if req.method == 'GET':
|
||||
echostr = req.args.get('echostr')
|
||||
if request.method == 'GET':
|
||||
echostr = request.args.get('echostr')
|
||||
ret, reply_echo_str = wxcpt.VerifyURL(msg_signature, timestamp, nonce, echostr)
|
||||
if ret != 0:
|
||||
raise Exception(f'验证失败，错误码: {ret}')
|
||||
return reply_echo_str
|
||||
|
||||
elif req.method == 'POST':
|
||||
encrypt_msg = await req.data
|
||||
elif request.method == 'POST':
|
||||
encrypt_msg = await request.data
|
||||
ret, xml_msg = wxcpt.DecryptMsg(encrypt_msg, msg_signature, timestamp, nonce)
|
||||
if ret != 0:
|
||||
raise Exception(f'消息解密失败，错误码: {ret}')
|
||||
|
||||
@@ -28,56 +28,8 @@ class FilesRouterGroup(group.RouterGroup):
|
||||
|
||||
return quart.Response(image_bytes, mimetype=mime_type)
|
||||
|
||||
@self.route('/images', methods=['POST'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY)
|
||||
async def upload_image() -> quart.Response:
|
||||
request = quart.request
|
||||
|
||||
# Check file size limit before reading the file
|
||||
content_length = request.content_length
|
||||
if content_length and content_length > group.MAX_FILE_SIZE:
|
||||
return self.fail(400, 'Image size exceeds 10MB limit.')
|
||||
|
||||
# get file bytes from 'file'
|
||||
files = await request.files
|
||||
if 'file' not in files:
|
||||
return self.fail(400, 'No image file provided')
|
||||
|
||||
file = files['file']
|
||||
assert isinstance(file, quart.datastructures.FileStorage)
|
||||
|
||||
file_bytes = await asyncio.to_thread(file.stream.read)
|
||||
|
||||
# Double-check actual file size after reading
|
||||
if len(file_bytes) > group.MAX_FILE_SIZE:
|
||||
return self.fail(400, 'Image size exceeds 10MB limit.')
|
||||
|
||||
# Validate image file extension
|
||||
allowed_extensions = {'jpg', 'jpeg', 'png', 'gif', 'webp'}
|
||||
if '.' in file.filename:
|
||||
file_name, extension = file.filename.rsplit('.', 1)
|
||||
extension = extension.lower()
|
||||
else:
|
||||
return self.fail(400, 'Invalid image file: no file extension')
|
||||
|
||||
if extension not in allowed_extensions:
|
||||
return self.fail(400, f'Invalid image format. Allowed formats: {", ".join(allowed_extensions)}')
|
||||
|
||||
# check if file name contains '/' or '\'
|
||||
if '/' in file_name or '\\' in file_name:
|
||||
return self.fail(400, 'File name contains invalid characters')
|
||||
|
||||
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_key': file_key,
|
||||
}
|
||||
)
|
||||
|
||||
@self.route('/documents', methods=['POST'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY)
|
||||
async def upload_document() -> quart.Response:
|
||||
@self.route('/documents', methods=['POST'], auth_type=group.AuthType.USER_TOKEN)
|
||||
async def _() -> quart.Response:
|
||||
request = quart.request
|
||||
|
||||
# Check file size limit before reading the file
|
||||
|
||||
@@ -5,7 +5,7 @@ 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'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY)
|
||||
@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()
|
||||
@@ -21,7 +21,6 @@ class KnowledgeBaseRouterGroup(group.RouterGroup):
|
||||
@self.route(
|
||||
'/<knowledge_base_uuid>',
|
||||
methods=['GET', 'DELETE', 'PUT'],
|
||||
auth_type=group.AuthType.USER_TOKEN_OR_API_KEY,
|
||||
)
|
||||
async def handle_specific_knowledge_base(knowledge_base_uuid: str) -> quart.Response:
|
||||
if quart.request.method == 'GET':
|
||||
@@ -48,7 +47,6 @@ class KnowledgeBaseRouterGroup(group.RouterGroup):
|
||||
@self.route(
|
||||
'/<knowledge_base_uuid>/files',
|
||||
methods=['GET', 'POST'],
|
||||
auth_type=group.AuthType.USER_TOKEN_OR_API_KEY,
|
||||
)
|
||||
async def get_knowledge_base_files(knowledge_base_uuid: str) -> str:
|
||||
if quart.request.method == 'GET':
|
||||
@@ -76,7 +74,6 @@ class KnowledgeBaseRouterGroup(group.RouterGroup):
|
||||
@self.route(
|
||||
'/<knowledge_base_uuid>/files/<file_id>',
|
||||
methods=['DELETE'],
|
||||
auth_type=group.AuthType.USER_TOKEN_OR_API_KEY,
|
||||
)
|
||||
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)
|
||||
@@ -85,7 +82,6 @@ class KnowledgeBaseRouterGroup(group.RouterGroup):
|
||||
@self.route(
|
||||
'/<knowledge_base_uuid>/retrieve',
|
||||
methods=['POST'],
|
||||
auth_type=group.AuthType.USER_TOKEN_OR_API_KEY,
|
||||
)
|
||||
async def retrieve_knowledge_base(knowledge_base_uuid: str) -> str:
|
||||
json_data = await quart.request.json
|
||||
|
||||
@@ -1,61 +0,0 @@
|
||||
import quart
|
||||
from ... import group
|
||||
|
||||
|
||||
@group.group_class('external_knowledge_base', '/api/v1/knowledge/external-bases')
|
||||
class ExternalKnowledgeBaseRouterGroup(group.RouterGroup):
|
||||
async def initialize(self) -> None:
|
||||
@self.route('/retrievers', methods=['GET'])
|
||||
async def list_knowledge_retrievers() -> quart.Response:
|
||||
"""List all available knowledge retrievers from plugins."""
|
||||
retrievers = await self.ap.plugin_connector.list_knowledge_retrievers()
|
||||
return self.success(data={'retrievers': retrievers})
|
||||
|
||||
@self.route('', methods=['POST', 'GET'])
|
||||
async def handle_external_knowledge_bases() -> quart.Response:
|
||||
if quart.request.method == 'GET':
|
||||
external_kbs = await self.ap.external_kb_service.get_external_knowledge_bases()
|
||||
return self.success(data={'bases': external_kbs})
|
||||
|
||||
elif quart.request.method == 'POST':
|
||||
json_data = await quart.request.json
|
||||
kb_uuid = await self.ap.external_kb_service.create_external_knowledge_base(json_data)
|
||||
return self.success(data={'uuid': kb_uuid})
|
||||
|
||||
return self.http_status(405, -1, 'Method not allowed')
|
||||
|
||||
@self.route(
|
||||
'/<kb_uuid>',
|
||||
methods=['GET', 'DELETE', 'PUT'],
|
||||
)
|
||||
async def handle_specific_external_knowledge_base(kb_uuid: str) -> quart.Response:
|
||||
if quart.request.method == 'GET':
|
||||
external_kb = await self.ap.external_kb_service.get_external_knowledge_base(kb_uuid)
|
||||
|
||||
if external_kb is None:
|
||||
return self.http_status(404, -1, 'external knowledge base not found')
|
||||
|
||||
return self.success(
|
||||
data={
|
||||
'base': external_kb,
|
||||
}
|
||||
)
|
||||
|
||||
elif quart.request.method == 'PUT':
|
||||
json_data = await quart.request.json
|
||||
await self.ap.external_kb_service.update_external_knowledge_base(kb_uuid, json_data)
|
||||
return self.success({})
|
||||
|
||||
elif quart.request.method == 'DELETE':
|
||||
await self.ap.external_kb_service.delete_external_knowledge_base(kb_uuid)
|
||||
return self.success({})
|
||||
|
||||
@self.route(
|
||||
'/<kb_uuid>/retrieve',
|
||||
methods=['POST'],
|
||||
)
|
||||
async def retrieve_external_knowledge_base(kb_uuid: str) -> str:
|
||||
json_data = await quart.request.json
|
||||
query = json_data.get('query')
|
||||
results = await self.ap.external_kb_service.retrieve_external_knowledge_base(kb_uuid, query)
|
||||
return self.success(data={'results': results})
|
||||
@@ -49,14 +49,6 @@ class PipelinesRouterGroup(group.RouterGroup):
|
||||
|
||||
return self.success()
|
||||
|
||||
@self.route('/<pipeline_uuid>/copy', methods=['POST'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY)
|
||||
async def _(pipeline_uuid: str) -> str:
|
||||
try:
|
||||
new_uuid = await self.ap.pipeline_service.copy_pipeline(pipeline_uuid)
|
||||
return self.success(data={'uuid': new_uuid})
|
||||
except ValueError as e:
|
||||
return self.http_status(404, -1, str(e))
|
||||
|
||||
@self.route(
|
||||
'/<pipeline_uuid>/extensions', methods=['GET', 'PUT'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY
|
||||
)
|
||||
@@ -67,33 +59,25 @@ class PipelinesRouterGroup(group.RouterGroup):
|
||||
if pipeline is None:
|
||||
return self.http_status(404, -1, 'pipeline not found')
|
||||
|
||||
# Only include plugins with pipeline-related components (Command, EventListener, Tool)
|
||||
# Plugins that only have KnowledgeRetriever components are not suitable for pipeline extensions
|
||||
pipeline_component_kinds = ['Command', 'EventListener', 'Tool']
|
||||
plugins = await self.ap.plugin_connector.list_plugins(component_kinds=pipeline_component_kinds)
|
||||
plugins = await self.ap.plugin_connector.list_plugins()
|
||||
mcp_servers = await self.ap.mcp_service.get_mcp_servers(contain_runtime_info=True)
|
||||
|
||||
extensions_prefs = pipeline.get('extensions_preferences', {})
|
||||
return self.success(
|
||||
data={
|
||||
'enable_all_plugins': extensions_prefs.get('enable_all_plugins', True),
|
||||
'enable_all_mcp_servers': extensions_prefs.get('enable_all_mcp_servers', True),
|
||||
'bound_plugins': extensions_prefs.get('plugins', []),
|
||||
'bound_plugins': pipeline.get('extensions_preferences', {}).get('plugins', []),
|
||||
'available_plugins': plugins,
|
||||
'bound_mcp_servers': extensions_prefs.get('mcp_servers', []),
|
||||
'bound_mcp_servers': pipeline.get('extensions_preferences', {}).get('mcp_servers', []),
|
||||
'available_mcp_servers': mcp_servers,
|
||||
}
|
||||
)
|
||||
elif quart.request.method == 'PUT':
|
||||
# Update bound plugins and MCP servers for this pipeline
|
||||
json_data = await quart.request.json
|
||||
enable_all_plugins = json_data.get('enable_all_plugins', True)
|
||||
enable_all_mcp_servers = json_data.get('enable_all_mcp_servers', True)
|
||||
bound_plugins = json_data.get('bound_plugins', [])
|
||||
bound_mcp_servers = json_data.get('bound_mcp_servers', [])
|
||||
|
||||
await self.ap.pipeline_service.update_pipeline_extensions(
|
||||
pipeline_uuid, bound_plugins, bound_mcp_servers, enable_all_plugins, enable_all_mcp_servers
|
||||
pipeline_uuid, bound_plugins, bound_mcp_servers
|
||||
)
|
||||
|
||||
return self.success()
|
||||
|
||||
109
src/langbot/pkg/api/http/controller/groups/pipelines/webchat.py
Normal file
109
src/langbot/pkg/api/http/controller/groups/pipelines/webchat.py
Normal file
@@ -0,0 +1,109 @@
|
||||
import json
|
||||
|
||||
import quart
|
||||
|
||||
from ... import group
|
||||
|
||||
|
||||
@group.group_class('webchat', '/api/v1/pipelines/<pipeline_uuid>/chat')
|
||||
class WebChatDebugRouterGroup(group.RouterGroup):
|
||||
async def initialize(self) -> None:
|
||||
@self.route('/send', methods=['POST'])
|
||||
async def send_message(pipeline_uuid: str) -> str:
|
||||
"""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')
|
||||
|
||||
if session_type not in ['person', 'group']:
|
||||
return self.http_status(400, -1, 'session_type must be person or group')
|
||||
|
||||
webchat_adapter = self.ap.platform_mgr.webchat_proxy_bot.adapter
|
||||
|
||||
if not webchat_adapter:
|
||||
return self.http_status(404, -1, 'WebChat adapter not found')
|
||||
|
||||
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:
|
||||
"""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')
|
||||
|
||||
webchat_adapter = self.ap.platform_mgr.webchat_proxy_bot.adapter
|
||||
|
||||
if not webchat_adapter:
|
||||
return self.http_status(404, -1, 'WebChat adapter not found')
|
||||
|
||||
messages = webchat_adapter.get_webchat_messages(pipeline_uuid, session_type)
|
||||
|
||||
return self.success(data={'messages': messages})
|
||||
|
||||
except Exception as e:
|
||||
return self.http_status(500, -1, f'Internal server error: {str(e)}')
|
||||
|
||||
@self.route('/reset/<session_type>', methods=['POST'])
|
||||
async def reset_session(session_type: str) -> str:
|
||||
"""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')
|
||||
|
||||
webchat_adapter = None
|
||||
for bot in self.ap.platform_mgr.bots:
|
||||
if hasattr(bot.adapter, '__class__') and bot.adapter.__class__.__name__ == 'WebChatAdapter':
|
||||
webchat_adapter = bot.adapter
|
||||
break
|
||||
|
||||
if not webchat_adapter:
|
||||
return self.http_status(404, -1, 'WebChat adapter not found')
|
||||
|
||||
webchat_adapter.reset_debug_session(session_type)
|
||||
|
||||
return self.success(data={'message': 'Session reset successfully'})
|
||||
|
||||
except Exception as e:
|
||||
return self.http_status(500, -1, f'Internal server error: {str(e)}')
|
||||
@@ -1,243 +0,0 @@
|
||||
"""WebSocket聊天路由 - 支持双向实时通信"""
|
||||
|
||||
import asyncio
|
||||
import datetime
|
||||
import json
|
||||
import logging
|
||||
|
||||
import quart
|
||||
|
||||
from ... import group
|
||||
from ......platform.sources.websocket_manager import ws_connection_manager
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
|
||||
@group.group_class('websocket_chat', '/api/v1/pipelines/<pipeline_uuid>/ws')
|
||||
class WebSocketChatRouterGroup(group.RouterGroup):
|
||||
async def initialize(self) -> None:
|
||||
# 直接使用 quart_app 注册 WebSocket 路由
|
||||
@self.quart_app.websocket(self.path + '/connect')
|
||||
async def websocket_connect(pipeline_uuid: str):
|
||||
"""
|
||||
建立WebSocket连接
|
||||
|
||||
URL参数:
|
||||
- pipeline_uuid: 流水线UUID
|
||||
- session_type: 会话类型 (person/group)
|
||||
"""
|
||||
try:
|
||||
# 获取参数 - 在WebSocket上下文中使用 quart.websocket.args
|
||||
session_type = quart.websocket.args.get('session_type', 'person')
|
||||
|
||||
if session_type not in ['person', 'group']:
|
||||
await quart.websocket.send(
|
||||
json.dumps({'type': 'error', 'message': 'session_type must be person or group'})
|
||||
)
|
||||
return
|
||||
|
||||
# 获取WebSocket适配器
|
||||
websocket_adapter = self.ap.platform_mgr.websocket_proxy_bot.adapter
|
||||
|
||||
if not websocket_adapter:
|
||||
await quart.websocket.send(json.dumps({'type': 'error', 'message': 'WebSocket adapter not found'}))
|
||||
return
|
||||
|
||||
# 注册连接
|
||||
connection = await ws_connection_manager.add_connection(
|
||||
websocket=quart.websocket._get_current_object(),
|
||||
pipeline_uuid=pipeline_uuid,
|
||||
session_type=session_type,
|
||||
metadata={'user_agent': quart.websocket.headers.get('User-Agent', '')},
|
||||
)
|
||||
|
||||
# 发送连接成功消息
|
||||
await quart.websocket.send(
|
||||
json.dumps(
|
||||
{
|
||||
'type': 'connected',
|
||||
'connection_id': connection.connection_id,
|
||||
'pipeline_uuid': pipeline_uuid,
|
||||
'session_type': session_type,
|
||||
'timestamp': connection.created_at.isoformat(),
|
||||
}
|
||||
)
|
||||
)
|
||||
|
||||
logger.debug(
|
||||
f'WebSocket connection established: {connection.connection_id} '
|
||||
f'(pipeline={pipeline_uuid}, session_type={session_type})'
|
||||
)
|
||||
|
||||
# 创建接收和发送任务
|
||||
receive_task = asyncio.create_task(self._handle_receive(connection, websocket_adapter))
|
||||
send_task = asyncio.create_task(self._handle_send(connection))
|
||||
|
||||
# 等待任务完成
|
||||
try:
|
||||
await asyncio.gather(receive_task, send_task)
|
||||
except Exception as e:
|
||||
logger.error(f'WebSocket task execution error: {e}')
|
||||
finally:
|
||||
# 清理连接
|
||||
await ws_connection_manager.remove_connection(connection.connection_id)
|
||||
logger.debug(f'WebSocket connection cleaned: {connection.connection_id}')
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f'WebSocket connection error: {e}', exc_info=True)
|
||||
try:
|
||||
await quart.websocket.send(json.dumps({'type': 'error', 'message': str(e)}))
|
||||
except:
|
||||
pass
|
||||
|
||||
@self.route('/messages/<session_type>', methods=['GET'])
|
||||
async def get_messages(pipeline_uuid: str, session_type: str) -> str:
|
||||
"""获取消息历史"""
|
||||
try:
|
||||
if session_type not in ['person', 'group']:
|
||||
return self.http_status(400, -1, 'session_type must be person or group')
|
||||
|
||||
websocket_adapter = self.ap.platform_mgr.websocket_proxy_bot.adapter
|
||||
|
||||
if not websocket_adapter:
|
||||
return self.http_status(404, -1, 'WebSocket adapter not found')
|
||||
|
||||
messages = websocket_adapter.get_websocket_messages(pipeline_uuid, session_type)
|
||||
|
||||
return self.success(data={'messages': messages})
|
||||
|
||||
except Exception as e:
|
||||
return self.http_status(500, -1, f'Internal server error: {str(e)}')
|
||||
|
||||
@self.route('/reset/<session_type>', methods=['POST'])
|
||||
async def reset_session(pipeline_uuid: str, session_type: str) -> str:
|
||||
"""重置会话"""
|
||||
try:
|
||||
if session_type not in ['person', 'group']:
|
||||
return self.http_status(400, -1, 'session_type must be person or group')
|
||||
|
||||
websocket_adapter = self.ap.platform_mgr.websocket_proxy_bot.adapter
|
||||
|
||||
if not websocket_adapter:
|
||||
return self.http_status(404, -1, 'WebSocket adapter not found')
|
||||
|
||||
websocket_adapter.reset_session(pipeline_uuid, session_type)
|
||||
|
||||
return self.success(data={'message': 'Session reset successfully'})
|
||||
|
||||
except Exception as e:
|
||||
return self.http_status(500, -1, f'Internal server error: {str(e)}')
|
||||
|
||||
@self.route('/connections', methods=['GET'])
|
||||
async def get_connections(pipeline_uuid: str) -> str:
|
||||
"""获取当前连接统计"""
|
||||
try:
|
||||
stats = ws_connection_manager.get_stats()
|
||||
connections = await ws_connection_manager.get_connections_by_pipeline(pipeline_uuid)
|
||||
|
||||
return self.success(
|
||||
data={
|
||||
'stats': stats,
|
||||
'connections': [
|
||||
{
|
||||
'connection_id': conn.connection_id,
|
||||
'session_type': conn.session_type,
|
||||
'created_at': conn.created_at.isoformat(),
|
||||
'last_active': conn.last_active.isoformat(),
|
||||
'is_active': conn.is_active,
|
||||
}
|
||||
for conn in connections
|
||||
],
|
||||
}
|
||||
)
|
||||
|
||||
except Exception as e:
|
||||
return self.http_status(500, -1, f'Internal server error: {str(e)}')
|
||||
|
||||
@self.route('/broadcast', methods=['POST'])
|
||||
async def broadcast_message(pipeline_uuid: str) -> str:
|
||||
"""向所有连接广播消息（后端主动推送）"""
|
||||
try:
|
||||
data = await quart.request.get_json()
|
||||
message = data.get('message')
|
||||
|
||||
if not message:
|
||||
return self.http_status(400, -1, 'message is required')
|
||||
|
||||
# 广播消息
|
||||
broadcast_data = {
|
||||
'type': 'broadcast',
|
||||
'message': message,
|
||||
'timestamp': datetime.datetime.now().isoformat(),
|
||||
}
|
||||
|
||||
await ws_connection_manager.broadcast_to_pipeline(pipeline_uuid, broadcast_data)
|
||||
|
||||
return self.success(data={'message': 'Broadcast sent successfully'})
|
||||
|
||||
except Exception as e:
|
||||
return self.http_status(500, -1, f'Internal server error: {str(e)}')
|
||||
|
||||
async def _handle_receive(self, connection, websocket_adapter):
|
||||
"""处理接收消息的任务"""
|
||||
try:
|
||||
while connection.is_active:
|
||||
# 接收消息
|
||||
message = await quart.websocket.receive()
|
||||
|
||||
# 更新活跃时间
|
||||
await ws_connection_manager.update_activity(connection.connection_id)
|
||||
|
||||
try:
|
||||
data = json.loads(message)
|
||||
message_type = data.get('type', 'message')
|
||||
|
||||
if message_type == 'ping':
|
||||
# 心跳响应
|
||||
await connection.send_queue.put(
|
||||
{'type': 'pong', 'timestamp': datetime.datetime.now().isoformat()}
|
||||
)
|
||||
|
||||
elif message_type == 'message':
|
||||
# 处理用户消息
|
||||
logger.debug(f'收到消息: {data} from {connection.connection_id}')
|
||||
|
||||
# 处理消息（不等待响应，响应会通过broadcast异步发送）
|
||||
await websocket_adapter.handle_websocket_message(connection, data)
|
||||
|
||||
elif message_type == 'disconnect':
|
||||
# 客户端主动断开
|
||||
logger.debug(f'Client disconnected: {connection.connection_id}')
|
||||
break
|
||||
|
||||
else:
|
||||
logger.warning(f'Unknown message type: {message_type}')
|
||||
|
||||
except json.JSONDecodeError:
|
||||
logger.error(f'Invalid JSON message: {message}')
|
||||
await connection.send_queue.put({'type': 'error', 'message': 'Invalid JSON format'})
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f'Receive message error: {e}', exc_info=True)
|
||||
finally:
|
||||
connection.is_active = False
|
||||
|
||||
async def _handle_send(self, connection):
|
||||
"""处理发送消息的任务"""
|
||||
try:
|
||||
while connection.is_active:
|
||||
# 从队列获取消息
|
||||
try:
|
||||
message = await asyncio.wait_for(connection.send_queue.get(), timeout=1.0)
|
||||
|
||||
# 发送消息
|
||||
await quart.websocket.send(json.dumps(message))
|
||||
|
||||
except asyncio.TimeoutError:
|
||||
# 超时继续循环
|
||||
continue
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f'Send message error: {e}', exc_info=True)
|
||||
finally:
|
||||
connection.is_active = False
|
||||
@@ -1,7 +1,6 @@
|
||||
import quart
|
||||
import mimetypes
|
||||
|
||||
from ... import group
|
||||
from langbot.pkg.utils import importutil
|
||||
|
||||
|
||||
@group.group_class('adapters', '/api/v1/platform/adapters')
|
||||
@@ -32,6 +31,4 @@ class AdaptersRouterGroup(group.RouterGroup):
|
||||
if icon_path is None:
|
||||
return self.http_status(404, -1, 'icon not found')
|
||||
|
||||
return quart.Response(
|
||||
importutil.read_resource_file_bytes(icon_path), mimetype=mimetypes.guess_type(icon_path)[0]
|
||||
)
|
||||
return await quart.send_file(icon_path)
|
||||
|
||||
@@ -18,8 +18,7 @@ class BotsRouterGroup(group.RouterGroup):
|
||||
@self.route('/<bot_uuid>', methods=['GET', 'PUT', 'DELETE'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY)
|
||||
async def _(bot_uuid: str) -> str:
|
||||
if quart.request.method == 'GET':
|
||||
# 返回运行时信息，包括webhook地址等
|
||||
bot = await self.ap.bot_service.get_runtime_bot_info(bot_uuid)
|
||||
bot = await self.ap.bot_service.get_bot(bot_uuid)
|
||||
if bot is None:
|
||||
return self.http_status(404, -1, 'bot not found')
|
||||
return self.success(data={'bot': bot})
|
||||
@@ -43,32 +42,3 @@ class BotsRouterGroup(group.RouterGroup):
|
||||
'total_count': total_count,
|
||||
}
|
||||
)
|
||||
|
||||
@self.route('/<bot_uuid>/send_message', methods=['POST'], auth_type=group.AuthType.API_KEY)
|
||||
async def _(bot_uuid: str) -> str:
|
||||
"""Send message to a specific target via bot"""
|
||||
json_data = await quart.request.json
|
||||
target_type = json_data.get('target_type')
|
||||
target_id = json_data.get('target_id')
|
||||
message_chain_data = json_data.get('message_chain')
|
||||
|
||||
# Validate required fields
|
||||
if not target_type:
|
||||
return self.http_status(400, -1, 'target_type is required')
|
||||
if not target_id:
|
||||
return self.http_status(400, -1, 'target_id is required')
|
||||
if not message_chain_data:
|
||||
return self.http_status(400, -1, 'message_chain is required')
|
||||
|
||||
# Validate target_type
|
||||
if target_type not in ['person', 'group']:
|
||||
return self.http_status(400, -1, 'target_type must be either "person" or "group"')
|
||||
|
||||
try:
|
||||
await self.ap.bot_service.send_message(bot_uuid, target_type, target_id, message_chain_data)
|
||||
return self.success(data={'sent': True})
|
||||
except Exception as e:
|
||||
import traceback
|
||||
|
||||
traceback.print_exc()
|
||||
return self.http_status(500, -1, f'Failed to send message: {str(e)}')
|
||||
|
||||
@@ -15,32 +15,16 @@ from langbot_plugin.runtime.plugin.mgr import PluginInstallSource
|
||||
@group.group_class('plugins', '/api/v1/plugins')
|
||||
class PluginsRouterGroup(group.RouterGroup):
|
||||
async def initialize(self) -> None:
|
||||
@self.route('', methods=['GET'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY)
|
||||
@self.route('', methods=['GET'], auth_type=group.AuthType.USER_TOKEN)
|
||||
async def _() -> str:
|
||||
plugins = await self.ap.plugin_connector.list_plugins()
|
||||
|
||||
return self.success(data={'plugins': plugins})
|
||||
|
||||
@self.route('/debug-info', methods=['GET'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY)
|
||||
async def _() -> str:
|
||||
"""Get plugin debug information including debug URL and key"""
|
||||
debug_info = await self.ap.plugin_connector.get_debug_info()
|
||||
|
||||
# Get debug URL from config
|
||||
plugin_config = self.ap.instance_config.data.get('plugin', {})
|
||||
debug_url = plugin_config.get('display_plugin_debug_url', 'http://localhost:5401')
|
||||
|
||||
return self.success(
|
||||
data={
|
||||
'debug_url': debug_url,
|
||||
'plugin_debug_key': debug_info.get('plugin_debug_key', ''),
|
||||
}
|
||||
)
|
||||
|
||||
@self.route(
|
||||
'/<author>/<plugin_name>/upgrade',
|
||||
methods=['POST'],
|
||||
auth_type=group.AuthType.USER_TOKEN_OR_API_KEY,
|
||||
auth_type=group.AuthType.USER_TOKEN,
|
||||
)
|
||||
async def _(author: str, plugin_name: str) -> str:
|
||||
ctx = taskmgr.TaskContext.new()
|
||||
@@ -56,7 +40,7 @@ class PluginsRouterGroup(group.RouterGroup):
|
||||
@self.route(
|
||||
'/<author>/<plugin_name>',
|
||||
methods=['GET', 'DELETE'],
|
||||
auth_type=group.AuthType.USER_TOKEN_OR_API_KEY,
|
||||
auth_type=group.AuthType.USER_TOKEN,
|
||||
)
|
||||
async def _(author: str, plugin_name: str) -> str:
|
||||
if quart.request.method == 'GET':
|
||||
@@ -82,7 +66,7 @@ class PluginsRouterGroup(group.RouterGroup):
|
||||
@self.route(
|
||||
'/<author>/<plugin_name>/config',
|
||||
methods=['GET', 'PUT'],
|
||||
auth_type=group.AuthType.USER_TOKEN_OR_API_KEY,
|
||||
auth_type=group.AuthType.USER_TOKEN,
|
||||
)
|
||||
async def _(author: str, plugin_name: str) -> quart.Response:
|
||||
plugin = await self.ap.plugin_connector.get_plugin_info(author, plugin_name)
|
||||
@@ -98,16 +82,6 @@ class PluginsRouterGroup(group.RouterGroup):
|
||||
|
||||
return self.success(data={})
|
||||
|
||||
@self.route(
|
||||
'/<author>/<plugin_name>/readme',
|
||||
methods=['GET'],
|
||||
auth_type=group.AuthType.USER_TOKEN_OR_API_KEY,
|
||||
)
|
||||
async def _(author: str, plugin_name: str) -> quart.Response:
|
||||
language = quart.request.args.get('language', 'en')
|
||||
readme = await self.ap.plugin_connector.get_plugin_readme(author, plugin_name, language=language)
|
||||
return self.success(data={'readme': readme})
|
||||
|
||||
@self.route(
|
||||
'/<author>/<plugin_name>/icon',
|
||||
methods=['GET'],
|
||||
@@ -122,18 +96,7 @@ class PluginsRouterGroup(group.RouterGroup):
|
||||
|
||||
return quart.Response(icon_data, mimetype=mime_type)
|
||||
|
||||
@self.route(
|
||||
'/<author>/<plugin_name>/assets/<filepath>',
|
||||
methods=['GET'],
|
||||
auth_type=group.AuthType.NONE,
|
||||
)
|
||||
async def _(author: str, plugin_name: str, filepath: str) -> quart.Response:
|
||||
asset_data = await self.ap.plugin_connector.get_plugin_assets(author, plugin_name, filepath)
|
||||
asset_bytes = base64.b64decode(asset_data['asset_base64'])
|
||||
mime_type = asset_data['mime_type']
|
||||
return quart.Response(asset_bytes, mimetype=mime_type)
|
||||
|
||||
@self.route('/github/releases', methods=['POST'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY)
|
||||
@self.route('/github/releases', methods=['POST'], auth_type=group.AuthType.USER_TOKEN)
|
||||
async def _() -> str:
|
||||
"""Get releases from a GitHub repository URL"""
|
||||
data = await quart.request.json
|
||||
@@ -182,7 +145,7 @@ class PluginsRouterGroup(group.RouterGroup):
|
||||
@self.route(
|
||||
'/github/release-assets',
|
||||
methods=['POST'],
|
||||
auth_type=group.AuthType.USER_TOKEN_OR_API_KEY,
|
||||
auth_type=group.AuthType.USER_TOKEN,
|
||||
)
|
||||
async def _() -> str:
|
||||
"""Get assets from a specific GitHub release"""
|
||||
@@ -236,7 +199,7 @@ class PluginsRouterGroup(group.RouterGroup):
|
||||
except httpx.RequestError as e:
|
||||
return self.http_status(500, -1, f'Failed to fetch release assets: {str(e)}')
|
||||
|
||||
@self.route('/install/github', methods=['POST'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY)
|
||||
@self.route('/install/github', methods=['POST'], auth_type=group.AuthType.USER_TOKEN)
|
||||
async def _() -> str:
|
||||
"""Install plugin from GitHub release asset"""
|
||||
data = await quart.request.json
|
||||
@@ -270,7 +233,7 @@ class PluginsRouterGroup(group.RouterGroup):
|
||||
@self.route(
|
||||
'/install/marketplace',
|
||||
methods=['POST'],
|
||||
auth_type=group.AuthType.USER_TOKEN_OR_API_KEY,
|
||||
auth_type=group.AuthType.USER_TOKEN,
|
||||
)
|
||||
async def _() -> str:
|
||||
data = await quart.request.json
|
||||
@@ -286,7 +249,7 @@ class PluginsRouterGroup(group.RouterGroup):
|
||||
|
||||
return self.success(data={'task_id': wrapper.id})
|
||||
|
||||
@self.route('/install/local', methods=['POST'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY)
|
||||
@self.route('/install/local', methods=['POST'], auth_type=group.AuthType.USER_TOKEN)
|
||||
async def _() -> str:
|
||||
file = (await quart.request.files).get('file')
|
||||
if file is None:
|
||||
|
||||
@@ -1,8 +1,6 @@
|
||||
import quart
|
||||
import mimetypes
|
||||
|
||||
from ... import group
|
||||
from langbot.pkg.utils import importutil
|
||||
|
||||
|
||||
@group.group_class('provider/requesters', '/api/v1/provider/requesters')
|
||||
@@ -34,6 +32,4 @@ class RequestersRouterGroup(group.RouterGroup):
|
||||
if icon_path is None:
|
||||
return self.http_status(404, -1, 'icon not found')
|
||||
|
||||
return quart.Response(
|
||||
importutil.read_resource_file_bytes(icon_path), mimetype=mimetypes.guess_type(icon_path)[0]
|
||||
)
|
||||
return await quart.send_file(icon_path)
|
||||
|
||||
@@ -23,9 +23,6 @@ class SystemRouterGroup(group.RouterGroup):
|
||||
if 'cloud_service_url' in self.ap.instance_config.data.get('plugin', {})
|
||||
else 'https://space.langbot.app'
|
||||
),
|
||||
'allow_change_password': self.ap.instance_config.data.get('system', {}).get(
|
||||
'allow_change_password', True
|
||||
),
|
||||
}
|
||||
)
|
||||
|
||||
@@ -58,6 +55,17 @@ class SystemRouterGroup(group.RouterGroup):
|
||||
|
||||
return self.success(data=exec(py_code, {'ap': ap}))
|
||||
|
||||
@self.route('/debug/tools/call', methods=['POST'], auth_type=group.AuthType.USER_TOKEN)
|
||||
async def _() -> str:
|
||||
if not constants.debug_mode:
|
||||
return self.http_status(403, 403, 'Forbidden')
|
||||
|
||||
data = await quart.request.json
|
||||
|
||||
return self.success(
|
||||
data=await self.ap.tool_mgr.execute_func_call(data['tool_name'], data['tool_parameters'])
|
||||
)
|
||||
|
||||
@self.route(
|
||||
'/debug/plugin/action',
|
||||
methods=['POST'],
|
||||
|
||||
@@ -70,13 +70,6 @@ class UserRouterGroup(group.RouterGroup):
|
||||
|
||||
@self.route('/change-password', methods=['POST'], auth_type=group.AuthType.USER_TOKEN)
|
||||
async def _(user_email: str) -> str:
|
||||
# Check if password change is allowed
|
||||
allow_change_password = self.ap.instance_config.data.get('system', {}).get(
|
||||
'allow_change_password', True
|
||||
)
|
||||
if not allow_change_password:
|
||||
return self.http_status(403, -1, 'Password change is disabled')
|
||||
|
||||
json_data = await quart.request.json
|
||||
|
||||
current_password = json_data['current_password']
|
||||
|
||||
@@ -1,49 +0,0 @@
|
||||
import quart
|
||||
|
||||
from .. import group
|
||||
|
||||
|
||||
@group.group_class('webhook_mgmt', '/api/v1/webhooks')
|
||||
class WebhookManagementRouterGroup(group.RouterGroup):
|
||||
async def initialize(self) -> None:
|
||||
@self.route('', methods=['GET', 'POST'])
|
||||
async def _() -> str:
|
||||
if quart.request.method == 'GET':
|
||||
webhooks = await self.ap.webhook_service.get_webhooks()
|
||||
return self.success(data={'webhooks': webhooks})
|
||||
elif quart.request.method == 'POST':
|
||||
json_data = await quart.request.json
|
||||
name = json_data.get('name', '')
|
||||
url = json_data.get('url', '')
|
||||
description = json_data.get('description', '')
|
||||
enabled = json_data.get('enabled', True)
|
||||
|
||||
if not name:
|
||||
return self.http_status(400, -1, 'Name is required')
|
||||
if not url:
|
||||
return self.http_status(400, -1, 'URL is required')
|
||||
|
||||
webhook = await self.ap.webhook_service.create_webhook(name, url, description, enabled)
|
||||
return self.success(data={'webhook': webhook})
|
||||
|
||||
@self.route('/<int:webhook_id>', methods=['GET', 'PUT', 'DELETE'])
|
||||
async def _(webhook_id: int) -> str:
|
||||
if quart.request.method == 'GET':
|
||||
webhook = await self.ap.webhook_service.get_webhook(webhook_id)
|
||||
if webhook is None:
|
||||
return self.http_status(404, -1, 'Webhook not found')
|
||||
return self.success(data={'webhook': webhook})
|
||||
|
||||
elif quart.request.method == 'PUT':
|
||||
json_data = await quart.request.json
|
||||
name = json_data.get('name')
|
||||
url = json_data.get('url')
|
||||
description = json_data.get('description')
|
||||
enabled = json_data.get('enabled')
|
||||
|
||||
await self.ap.webhook_service.update_webhook(webhook_id, name, url, description, enabled)
|
||||
return self.success()
|
||||
|
||||
elif quart.request.method == 'DELETE':
|
||||
await self.ap.webhook_service.delete_webhook(webhook_id)
|
||||
return self.success()
|
||||
@@ -1,57 +1,49 @@
|
||||
from __future__ import annotations
|
||||
|
||||
import quart
|
||||
import traceback
|
||||
|
||||
from .. import group
|
||||
|
||||
|
||||
@group.group_class('webhooks', '/bots')
|
||||
class WebhookRouterGroup(group.RouterGroup):
|
||||
@group.group_class('webhooks', '/api/v1/webhooks')
|
||||
class WebhooksRouterGroup(group.RouterGroup):
|
||||
async def initialize(self) -> None:
|
||||
@self.route('/<bot_uuid>', methods=['GET', 'POST'], auth_type=group.AuthType.NONE)
|
||||
async def handle_webhook(bot_uuid: str):
|
||||
"""处理 bot webhook 回调（无子路径）"""
|
||||
return await self._dispatch_webhook(bot_uuid, '')
|
||||
@self.route('', methods=['GET', 'POST'])
|
||||
async def _() -> str:
|
||||
if quart.request.method == 'GET':
|
||||
webhooks = await self.ap.webhook_service.get_webhooks()
|
||||
return self.success(data={'webhooks': webhooks})
|
||||
elif quart.request.method == 'POST':
|
||||
json_data = await quart.request.json
|
||||
name = json_data.get('name', '')
|
||||
url = json_data.get('url', '')
|
||||
description = json_data.get('description', '')
|
||||
enabled = json_data.get('enabled', True)
|
||||
|
||||
@self.route('/<bot_uuid>/<path:path>', methods=['GET', 'POST'], auth_type=group.AuthType.NONE)
|
||||
async def handle_webhook_with_path(bot_uuid: str, path: str):
|
||||
"""处理 bot webhook 回调（带子路径）"""
|
||||
return await self._dispatch_webhook(bot_uuid, path)
|
||||
if not name:
|
||||
return self.http_status(400, -1, 'Name is required')
|
||||
if not url:
|
||||
return self.http_status(400, -1, 'URL is required')
|
||||
|
||||
async def _dispatch_webhook(self, bot_uuid: str, path: str):
|
||||
"""分发 webhook 请求到对应的 bot adapter
|
||||
webhook = await self.ap.webhook_service.create_webhook(name, url, description, enabled)
|
||||
return self.success(data={'webhook': webhook})
|
||||
|
||||
Args:
|
||||
bot_uuid: Bot 的 UUID
|
||||
path: 子路径（如果有的话）
|
||||
@self.route('/<int:webhook_id>', methods=['GET', 'PUT', 'DELETE'])
|
||||
async def _(webhook_id: int) -> str:
|
||||
if quart.request.method == 'GET':
|
||||
webhook = await self.ap.webhook_service.get_webhook(webhook_id)
|
||||
if webhook is None:
|
||||
return self.http_status(404, -1, 'Webhook not found')
|
||||
return self.success(data={'webhook': webhook})
|
||||
|
||||
Returns:
|
||||
适配器返回的响应
|
||||
"""
|
||||
try:
|
||||
|
||||
runtime_bot = await self.ap.platform_mgr.get_bot_by_uuid(bot_uuid)
|
||||
elif quart.request.method == 'PUT':
|
||||
json_data = await quart.request.json
|
||||
name = json_data.get('name')
|
||||
url = json_data.get('url')
|
||||
description = json_data.get('description')
|
||||
enabled = json_data.get('enabled')
|
||||
|
||||
if not runtime_bot:
|
||||
return quart.jsonify({'error': 'Bot not found'}), 404
|
||||
await self.ap.webhook_service.update_webhook(webhook_id, name, url, description, enabled)
|
||||
return self.success()
|
||||
|
||||
if not runtime_bot.enable:
|
||||
return quart.jsonify({'error': 'Bot is disabled'}), 403
|
||||
|
||||
|
||||
if not hasattr(runtime_bot.adapter, 'handle_unified_webhook'):
|
||||
return quart.jsonify({'error': 'Adapter does not support unified webhook'}), 501
|
||||
|
||||
|
||||
response = await runtime_bot.adapter.handle_unified_webhook(
|
||||
bot_uuid=bot_uuid,
|
||||
path=path,
|
||||
request=quart.request,
|
||||
)
|
||||
|
||||
return response
|
||||
|
||||
except Exception as e:
|
||||
self.ap.logger.error(f'Webhook dispatch error for bot {bot_uuid}: {traceback.format_exc()}')
|
||||
return quart.jsonify({'error': str(e)}), 500
|
||||
elif quart.request.method == 'DELETE':
|
||||
await self.ap.webhook_service.delete_webhook(webhook_id)
|
||||
return self.success()
|
||||
|
||||
@@ -92,11 +92,7 @@ class HTTPController:
|
||||
|
||||
@self.quart_app.route('/')
|
||||
async def index():
|
||||
response = await quart.send_from_directory(frontend_path, 'index.html', mimetype='text/html')
|
||||
response.headers['Cache-Control'] = 'no-cache, no-store, must-revalidate'
|
||||
response.headers['Pragma'] = 'no-cache'
|
||||
response.headers['Expires'] = '0'
|
||||
return response
|
||||
return await quart.send_from_directory(frontend_path, 'index.html', mimetype='text/html')
|
||||
|
||||
@self.quart_app.route('/<path:path>')
|
||||
async def static_file(path: str):
|
||||
|
||||
@@ -58,16 +58,6 @@ class BotService:
|
||||
if runtime_bot is not None:
|
||||
adapter_runtime_values['bot_account_id'] = runtime_bot.adapter.bot_account_id
|
||||
|
||||
# Webhook URL for unified webhook adapters (independent of bot running state)
|
||||
if persistence_bot['adapter'] in ['wecom', 'wecombot', 'officialaccount', 'qqofficial', 'slack', 'wecomcs', 'LINE', 'lark']:
|
||||
webhook_prefix = self.ap.instance_config.data['api'].get('webhook_prefix', 'http://127.0.0.1:5300')
|
||||
webhook_url = f'/bots/{bot_uuid}'
|
||||
adapter_runtime_values['webhook_url'] = webhook_url
|
||||
adapter_runtime_values['webhook_full_url'] = f'{webhook_prefix}{webhook_url}'
|
||||
else:
|
||||
adapter_runtime_values['webhook_url'] = None
|
||||
adapter_runtime_values['webhook_full_url'] = None
|
||||
|
||||
persistence_bot['adapter_runtime_values'] = adapter_runtime_values
|
||||
|
||||
return persistence_bot
|
||||
@@ -149,29 +139,3 @@ class BotService:
|
||||
logs, total_count = await runtime_bot.logger.get_logs(from_index, max_count)
|
||||
|
||||
return [log.to_json() for log in logs], total_count
|
||||
|
||||
async def send_message(self, bot_uuid: str, target_type: str, target_id: str, message_chain_data: dict) -> None:
|
||||
"""Send message to a specific target via bot
|
||||
|
||||
Args:
|
||||
bot_uuid: The UUID of the bot
|
||||
target_type: The type of the target, can be "group", "person"
|
||||
target_id: The ID of the target
|
||||
message_chain_data: The message chain data in dict format
|
||||
"""
|
||||
# Import here to avoid circular imports
|
||||
import langbot_plugin.api.entities.builtin.platform.message as platform_message
|
||||
|
||||
# Get runtime bot
|
||||
runtime_bot = await self.ap.platform_mgr.get_bot_by_uuid(bot_uuid)
|
||||
if runtime_bot is None:
|
||||
raise Exception(f'Bot not found: {bot_uuid}')
|
||||
|
||||
# Validate and convert message chain
|
||||
try:
|
||||
message_chain = platform_message.MessageChain.model_validate(message_chain_data)
|
||||
except Exception as e:
|
||||
raise Exception(f'Invalid message_chain format: {str(e)}')
|
||||
|
||||
# Send message via adapter
|
||||
await runtime_bot.adapter.send_message(target_type, str(target_id), message_chain)
|
||||
|
||||
@@ -1,80 +0,0 @@
|
||||
from __future__ import annotations
|
||||
|
||||
from ....core import app
|
||||
import sqlalchemy
|
||||
from langbot.pkg.entity.persistence import rag as persistence_rag
|
||||
import uuid
|
||||
|
||||
|
||||
class ExternalKBService:
|
||||
"""External KB service"""
|
||||
|
||||
ap: app.Application
|
||||
|
||||
def __init__(self, ap: app.Application) -> None:
|
||||
self.ap = ap
|
||||
|
||||
# External Knowledge Base methods
|
||||
async def get_external_knowledge_bases(self) -> list[dict]:
|
||||
result = await self.ap.persistence_mgr.execute_async(sqlalchemy.select(persistence_rag.ExternalKnowledgeBase))
|
||||
external_kbs = result.all()
|
||||
return [
|
||||
self.ap.persistence_mgr.serialize_model(persistence_rag.ExternalKnowledgeBase, external_kb)
|
||||
for external_kb in external_kbs
|
||||
]
|
||||
|
||||
async def get_external_knowledge_base(self, kb_uuid: str) -> dict | None:
|
||||
result = await self.ap.persistence_mgr.execute_async(
|
||||
sqlalchemy.select(persistence_rag.ExternalKnowledgeBase).where(
|
||||
persistence_rag.ExternalKnowledgeBase.uuid == kb_uuid
|
||||
)
|
||||
)
|
||||
external_kb = result.first()
|
||||
if external_kb is None:
|
||||
return None
|
||||
return self.ap.persistence_mgr.serialize_model(persistence_rag.ExternalKnowledgeBase, external_kb)
|
||||
|
||||
async def create_external_knowledge_base(self, kb_data: dict) -> str:
|
||||
kb_data['uuid'] = str(uuid.uuid4())
|
||||
await self.ap.persistence_mgr.execute_async(
|
||||
sqlalchemy.insert(persistence_rag.ExternalKnowledgeBase).values(kb_data)
|
||||
)
|
||||
|
||||
kb = await self.get_external_knowledge_base(kb_data['uuid'])
|
||||
|
||||
await self.ap.rag_mgr.load_external_knowledge_base(kb)
|
||||
|
||||
return kb_data['uuid']
|
||||
|
||||
async def retrieve_external_knowledge_base(self, kb_uuid: str, query: str) -> list[dict]:
|
||||
"""Retrieve external knowledge base"""
|
||||
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, 5)
|
||||
] # top_k is just a placeholder for external knowledge base
|
||||
|
||||
async def update_external_knowledge_base(self, kb_uuid: str, kb_data: dict) -> None:
|
||||
if 'uuid' in kb_data:
|
||||
del kb_data['uuid']
|
||||
|
||||
await self.ap.persistence_mgr.execute_async(
|
||||
sqlalchemy.update(persistence_rag.ExternalKnowledgeBase)
|
||||
.values(kb_data)
|
||||
.where(persistence_rag.ExternalKnowledgeBase.uuid == kb_uuid)
|
||||
)
|
||||
await self.ap.rag_mgr.remove_knowledge_base_from_runtime(kb_uuid)
|
||||
|
||||
kb = await self.get_external_knowledge_base(kb_uuid)
|
||||
|
||||
await self.ap.rag_mgr.load_external_knowledge_base(kb)
|
||||
|
||||
async def delete_external_knowledge_base(self, kb_uuid: str) -> None:
|
||||
await self.ap.persistence_mgr.execute_async(
|
||||
sqlalchemy.delete(persistence_rag.ExternalKnowledgeBase).where(
|
||||
persistence_rag.ExternalKnowledgeBase.uuid == kb_uuid
|
||||
)
|
||||
)
|
||||
|
||||
await self.ap.rag_mgr.delete_knowledge_base(kb_uuid)
|
||||
@@ -71,19 +71,7 @@ class KnowledgeService:
|
||||
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')
|
||||
# Only internal KBs support file storage
|
||||
if runtime_kb.get_type() != 'internal':
|
||||
raise Exception('Only internal knowledge bases support file storage')
|
||||
result = await runtime_kb.store_file(file_id)
|
||||
|
||||
# Update the KB's updated_at timestamp
|
||||
await self.ap.persistence_mgr.execute_async(
|
||||
sqlalchemy.update(persistence_rag.KnowledgeBase)
|
||||
.values(updated_at=sqlalchemy.func.now())
|
||||
.where(persistence_rag.KnowledgeBase.uuid == kb_uuid)
|
||||
)
|
||||
|
||||
return result
|
||||
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"""
|
||||
@@ -107,18 +95,8 @@ class KnowledgeService:
|
||||
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')
|
||||
# Only internal KBs support file deletion
|
||||
if runtime_kb.get_type() != 'internal':
|
||||
raise Exception('Only internal knowledge bases support file deletion')
|
||||
await runtime_kb.delete_file(file_id)
|
||||
|
||||
# Update the KB's updated_at timestamp
|
||||
await self.ap.persistence_mgr.execute_async(
|
||||
sqlalchemy.update(persistence_rag.KnowledgeBase)
|
||||
.values(updated_at=sqlalchemy.func.now())
|
||||
.where(persistence_rag.KnowledgeBase.uuid == kb_uuid)
|
||||
)
|
||||
|
||||
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)
|
||||
|
||||
@@ -85,15 +85,6 @@ class PipelineService:
|
||||
with open(template_path, 'r', encoding='utf-8') as f:
|
||||
pipeline_data['config'] = json.load(f)
|
||||
|
||||
# Ensure extensions_preferences is set with enable_all_plugins and enable_all_mcp_servers=True by default
|
||||
if 'extensions_preferences' not in pipeline_data:
|
||||
pipeline_data['extensions_preferences'] = {
|
||||
'enable_all_plugins': True,
|
||||
'enable_all_mcp_servers': True,
|
||||
'plugins': [],
|
||||
'mcp_servers': [],
|
||||
}
|
||||
|
||||
await self.ap.persistence_mgr.execute_async(
|
||||
sqlalchemy.insert(persistence_pipeline.LegacyPipeline).values(**pipeline_data)
|
||||
)
|
||||
@@ -151,59 +142,8 @@ class PipelineService:
|
||||
)
|
||||
await self.ap.pipeline_mgr.remove_pipeline(pipeline_uuid)
|
||||
|
||||
async def copy_pipeline(self, pipeline_uuid: str) -> str:
|
||||
"""Copy a pipeline with all its configurations"""
|
||||
# Get the original pipeline
|
||||
result = await self.ap.persistence_mgr.execute_async(
|
||||
sqlalchemy.select(persistence_pipeline.LegacyPipeline).where(
|
||||
persistence_pipeline.LegacyPipeline.uuid == pipeline_uuid
|
||||
)
|
||||
)
|
||||
|
||||
original_pipeline = result.first()
|
||||
if original_pipeline is None:
|
||||
raise ValueError(f'Pipeline {pipeline_uuid} not found')
|
||||
|
||||
# Create new pipeline data
|
||||
new_uuid = str(uuid.uuid4())
|
||||
new_pipeline_data = {
|
||||
'uuid': new_uuid,
|
||||
'name': f'{original_pipeline.name} (Copy)',
|
||||
'description': original_pipeline.description,
|
||||
'for_version': self.ap.ver_mgr.get_current_version(),
|
||||
'stages': original_pipeline.stages.copy() if original_pipeline.stages else default_stage_order.copy(),
|
||||
'config': original_pipeline.config.copy() if original_pipeline.config else {},
|
||||
'is_default': False,
|
||||
'extensions_preferences': (
|
||||
original_pipeline.extensions_preferences.copy()
|
||||
if original_pipeline.extensions_preferences
|
||||
else {
|
||||
'enable_all_plugins': True,
|
||||
'enable_all_mcp_servers': True,
|
||||
'plugins': [],
|
||||
'mcp_servers': [],
|
||||
}
|
||||
),
|
||||
}
|
||||
|
||||
# Insert the new pipeline
|
||||
await self.ap.persistence_mgr.execute_async(
|
||||
sqlalchemy.insert(persistence_pipeline.LegacyPipeline).values(**new_pipeline_data)
|
||||
)
|
||||
|
||||
# Load the new pipeline
|
||||
pipeline = await self.get_pipeline(new_uuid)
|
||||
await self.ap.pipeline_mgr.load_pipeline(pipeline)
|
||||
|
||||
return new_uuid
|
||||
|
||||
async def update_pipeline_extensions(
|
||||
self,
|
||||
pipeline_uuid: str,
|
||||
bound_plugins: list[dict],
|
||||
bound_mcp_servers: list[str] = None,
|
||||
enable_all_plugins: bool = True,
|
||||
enable_all_mcp_servers: bool = True,
|
||||
self, pipeline_uuid: str, bound_plugins: list[dict], bound_mcp_servers: list[str] = None
|
||||
) -> None:
|
||||
"""Update the bound plugins and MCP servers for a pipeline"""
|
||||
# Get current pipeline
|
||||
@@ -219,8 +159,6 @@ class PipelineService:
|
||||
|
||||
# Update extensions_preferences
|
||||
extensions_preferences = pipeline.extensions_preferences or {}
|
||||
extensions_preferences['enable_all_plugins'] = enable_all_plugins
|
||||
extensions_preferences['enable_all_mcp_servers'] = enable_all_mcp_servers
|
||||
extensions_preferences['plugins'] = bound_plugins
|
||||
if bound_mcp_servers is not None:
|
||||
extensions_preferences['mcp_servers'] = bound_mcp_servers
|
||||
|
||||
@@ -26,7 +26,6 @@ from ..api.http.service import knowledge as knowledge_service
|
||||
from ..api.http.service import mcp as mcp_service
|
||||
from ..api.http.service import apikey as apikey_service
|
||||
from ..api.http.service import webhook as webhook_service
|
||||
from ..api.http.service import external_kb as external_kb_service
|
||||
from ..discover import engine as discover_engine
|
||||
from ..storage import mgr as storagemgr
|
||||
from ..utils import logcache
|
||||
@@ -124,8 +123,6 @@ class Application:
|
||||
|
||||
knowledge_service: knowledge_service.KnowledgeService = None
|
||||
|
||||
external_kb_service: external_kb_service.ExternalKBService = None
|
||||
|
||||
mcp_service: mcp_service.MCPService = None
|
||||
|
||||
apikey_service: apikey_service.ApiKeyService = None
|
||||
|
||||
@@ -1,5 +1,4 @@
|
||||
import logging
|
||||
import logging.handlers
|
||||
import sys
|
||||
import time
|
||||
|
||||
@@ -16,10 +15,6 @@ log_colors_config = {
|
||||
'CRITICAL': 'cyan',
|
||||
}
|
||||
|
||||
# Log rotation configuration to prevent unbounded log file growth
|
||||
LOG_FILE_MAX_BYTES = 10 * 1024 * 1024 # 10MB per file
|
||||
LOG_FILE_BACKUP_COUNT = 5 # Keep 5 backup files (total ~50MB max)
|
||||
|
||||
|
||||
async def init_logging(extra_handlers: list[logging.Handler] = None) -> logging.Logger:
|
||||
# Remove all existing loggers
|
||||
@@ -48,17 +43,9 @@ async def init_logging(extra_handlers: list[logging.Handler] = None) -> logging.
|
||||
# stream_handler.setFormatter(color_formatter)
|
||||
stream_handler.stream = open(sys.stdout.fileno(), mode='w', encoding='utf-8', buffering=1)
|
||||
|
||||
# Use RotatingFileHandler to prevent unbounded log file growth
|
||||
rotating_file_handler = logging.handlers.RotatingFileHandler(
|
||||
log_file_name,
|
||||
encoding='utf-8',
|
||||
maxBytes=LOG_FILE_MAX_BYTES,
|
||||
backupCount=LOG_FILE_BACKUP_COUNT,
|
||||
)
|
||||
|
||||
log_handlers: list[logging.Handler] = [
|
||||
stream_handler,
|
||||
rotating_file_handler,
|
||||
logging.FileHandler(log_file_name, encoding='utf-8'),
|
||||
]
|
||||
log_handlers += extra_handlers if extra_handlers is not None else []
|
||||
|
||||
|
||||
@@ -23,7 +23,6 @@ from ...api.http.service import knowledge as knowledge_service
|
||||
from ...api.http.service import mcp as mcp_service
|
||||
from ...api.http.service import apikey as apikey_service
|
||||
from ...api.http.service import webhook as webhook_service
|
||||
from ...api.http.service import external_kb as external_kb_service
|
||||
from ...discover import engine as discover_engine
|
||||
from ...storage import mgr as storagemgr
|
||||
from ...utils import logcache
|
||||
@@ -64,6 +63,14 @@ class BuildAppStage(stage.BootingStage):
|
||||
ap.persistence_mgr = persistence_mgr_inst
|
||||
await persistence_mgr_inst.initialize()
|
||||
|
||||
async def runtime_disconnect_callback(connector: plugin_connector.PluginRuntimeConnector) -> None:
|
||||
await asyncio.sleep(3)
|
||||
await plugin_connector_inst.initialize()
|
||||
|
||||
plugin_connector_inst = plugin_connector.PluginRuntimeConnector(ap, runtime_disconnect_callback)
|
||||
await plugin_connector_inst.initialize()
|
||||
ap.plugin_connector = plugin_connector_inst
|
||||
|
||||
cmd_mgr_inst = cmdmgr.CommandManager(ap)
|
||||
await cmd_mgr_inst.initialize()
|
||||
ap.cmd_mgr = cmd_mgr_inst
|
||||
@@ -123,9 +130,6 @@ class BuildAppStage(stage.BootingStage):
|
||||
knowledge_service_inst = knowledge_service.KnowledgeService(ap)
|
||||
ap.knowledge_service = knowledge_service_inst
|
||||
|
||||
external_kb_service_inst = external_kb_service.ExternalKBService(ap)
|
||||
ap.external_kb_service = external_kb_service_inst
|
||||
|
||||
mcp_service_inst = mcp_service.MCPService(ap)
|
||||
ap.mcp_service = mcp_service_inst
|
||||
|
||||
@@ -135,13 +139,5 @@ class BuildAppStage(stage.BootingStage):
|
||||
webhook_service_inst = webhook_service.WebhookService(ap)
|
||||
ap.webhook_service = webhook_service_inst
|
||||
|
||||
async def runtime_disconnect_callback(connector: plugin_connector.PluginRuntimeConnector) -> None:
|
||||
await asyncio.sleep(3)
|
||||
await plugin_connector_inst.initialize()
|
||||
|
||||
plugin_connector_inst = plugin_connector.PluginRuntimeConnector(ap, runtime_disconnect_callback)
|
||||
await plugin_connector_inst.initialize()
|
||||
ap.plugin_connector = plugin_connector_inst
|
||||
|
||||
ctrl = controller.Controller(ap)
|
||||
ap.ctrl = ctrl
|
||||
|
||||
@@ -22,11 +22,7 @@ class LegacyPipeline(Base):
|
||||
is_default = sqlalchemy.Column(sqlalchemy.Boolean, nullable=False, default=False)
|
||||
stages = sqlalchemy.Column(sqlalchemy.JSON, nullable=False)
|
||||
config = sqlalchemy.Column(sqlalchemy.JSON, nullable=False)
|
||||
extensions_preferences = sqlalchemy.Column(
|
||||
sqlalchemy.JSON,
|
||||
nullable=False,
|
||||
default={'enable_all_plugins': True, 'enable_all_mcp_servers': True, 'plugins': [], 'mcp_servers': []},
|
||||
)
|
||||
extensions_preferences = sqlalchemy.Column(sqlalchemy.JSON, nullable=False, default={})
|
||||
|
||||
|
||||
class PipelineRunRecord(Base):
|
||||
|
||||
@@ -1,6 +1,20 @@
|
||||
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'
|
||||
@@ -8,7 +22,6 @@ class KnowledgeBase(Base):
|
||||
name = sqlalchemy.Column(sqlalchemy.String, index=True)
|
||||
description = sqlalchemy.Column(sqlalchemy.Text)
|
||||
created_at = sqlalchemy.Column(sqlalchemy.DateTime, default=sqlalchemy.func.now())
|
||||
updated_at = sqlalchemy.Column(sqlalchemy.DateTime, default=sqlalchemy.func.now(), onupdate=sqlalchemy.func.now())
|
||||
embedding_model_uuid = sqlalchemy.Column(sqlalchemy.String, default='')
|
||||
top_k = sqlalchemy.Column(sqlalchemy.Integer, default=5)
|
||||
|
||||
@@ -30,13 +43,8 @@ class Chunk(Base):
|
||||
text = sqlalchemy.Column(sqlalchemy.Text)
|
||||
|
||||
|
||||
class ExternalKnowledgeBase(Base):
|
||||
__tablename__ = 'external_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)
|
||||
plugin_author = sqlalchemy.Column(sqlalchemy.String, nullable=False)
|
||||
plugin_name = sqlalchemy.Column(sqlalchemy.String, nullable=False)
|
||||
retriever_name = sqlalchemy.Column(sqlalchemy.String, nullable=False)
|
||||
retriever_config = sqlalchemy.Column(sqlalchemy.JSON, nullable=False, default={})
|
||||
created_at = sqlalchemy.Column(sqlalchemy.DateTime, default=sqlalchemy.func.now())
|
||||
# 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)
|
||||
|
||||
0
src/langbot/pkg/entity/rag/__init__.py
Normal file
0
src/langbot/pkg/entity/rag/__init__.py
Normal file
13
src/langbot/pkg/entity/rag/retriever.py
Normal file
13
src/langbot/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
|
||||
@@ -1,7 +1,8 @@
|
||||
from .. import migration
|
||||
|
||||
import sqlalchemy
|
||||
import json
|
||||
|
||||
from ...entity.persistence import pipeline as persistence_pipeline
|
||||
|
||||
|
||||
@migration.migration_class(2)
|
||||
@@ -10,45 +11,30 @@ class DBMigrateCombineQuoteMsgConfig(migration.DBMigration):
|
||||
|
||||
async def upgrade(self):
|
||||
"""Upgrade"""
|
||||
# Read all pipelines using raw SQL
|
||||
result = await self.ap.persistence_mgr.execute_async(
|
||||
sqlalchemy.text('SELECT uuid, config FROM legacy_pipelines')
|
||||
)
|
||||
pipelines = result.fetchall()
|
||||
# read all pipelines
|
||||
pipelines = await self.ap.persistence_mgr.execute_async(sqlalchemy.select(persistence_pipeline.LegacyPipeline))
|
||||
|
||||
current_version = self.ap.ver_mgr.get_current_version()
|
||||
for pipeline in pipelines:
|
||||
serialized_pipeline = self.ap.persistence_mgr.serialize_model(persistence_pipeline.LegacyPipeline, pipeline)
|
||||
|
||||
for pipeline_row in pipelines:
|
||||
uuid = pipeline_row[0]
|
||||
config = json.loads(pipeline_row[1]) if isinstance(pipeline_row[1], str) else pipeline_row[1]
|
||||
config = serialized_pipeline['config']
|
||||
|
||||
# Ensure 'trigger' exists
|
||||
if 'trigger' not in config:
|
||||
config['trigger'] = {}
|
||||
|
||||
# Ensure 'misc' exists in 'trigger'
|
||||
if 'misc' not in config['trigger']:
|
||||
config['trigger']['misc'] = {}
|
||||
|
||||
# Add 'combine-quote-message' if not exists
|
||||
if 'combine-quote-message' not in config['trigger']['misc']:
|
||||
config['trigger']['misc']['combine-quote-message'] = False
|
||||
|
||||
# Update using raw SQL with compatibility for both SQLite and PostgreSQL
|
||||
if self.ap.persistence_mgr.db.name == 'postgresql':
|
||||
await self.ap.persistence_mgr.execute_async(
|
||||
sqlalchemy.text(
|
||||
'UPDATE legacy_pipelines SET config = :config::jsonb, for_version = :for_version WHERE uuid = :uuid'
|
||||
),
|
||||
{'config': json.dumps(config), 'for_version': current_version, 'uuid': uuid},
|
||||
)
|
||||
else:
|
||||
await self.ap.persistence_mgr.execute_async(
|
||||
sqlalchemy.text(
|
||||
'UPDATE legacy_pipelines SET config = :config, for_version = :for_version WHERE uuid = :uuid'
|
||||
),
|
||||
{'config': json.dumps(config), 'for_version': current_version, 'uuid': uuid},
|
||||
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"""
|
||||
|
||||
@@ -1,7 +1,8 @@
|
||||
from .. import migration
|
||||
|
||||
import sqlalchemy
|
||||
import json
|
||||
|
||||
from ...entity.persistence import pipeline as persistence_pipeline
|
||||
|
||||
|
||||
@migration.migration_class(3)
|
||||
@@ -10,23 +11,14 @@ class DBMigrateN8nConfig(migration.DBMigration):
|
||||
|
||||
async def upgrade(self):
|
||||
"""Upgrade"""
|
||||
# Read all pipelines using raw SQL
|
||||
result = await self.ap.persistence_mgr.execute_async(
|
||||
sqlalchemy.text('SELECT uuid, config FROM legacy_pipelines')
|
||||
)
|
||||
pipelines = result.fetchall()
|
||||
# read all pipelines
|
||||
pipelines = await self.ap.persistence_mgr.execute_async(sqlalchemy.select(persistence_pipeline.LegacyPipeline))
|
||||
|
||||
current_version = self.ap.ver_mgr.get_current_version()
|
||||
for pipeline in pipelines:
|
||||
serialized_pipeline = self.ap.persistence_mgr.serialize_model(persistence_pipeline.LegacyPipeline, pipeline)
|
||||
|
||||
for pipeline_row in pipelines:
|
||||
uuid = pipeline_row[0]
|
||||
config = json.loads(pipeline_row[1]) if isinstance(pipeline_row[1], str) else pipeline_row[1]
|
||||
config = serialized_pipeline['config']
|
||||
|
||||
# Ensure 'ai' exists
|
||||
if 'ai' not in config:
|
||||
config['ai'] = {}
|
||||
|
||||
# Add 'n8n-service-api' if not exists
|
||||
if 'n8n-service-api' not in config['ai']:
|
||||
config['ai']['n8n-service-api'] = {
|
||||
'webhook-url': 'http://your-n8n-webhook-url',
|
||||
@@ -41,21 +33,16 @@ class DBMigrateN8nConfig(migration.DBMigration):
|
||||
'output-key': 'response',
|
||||
}
|
||||
|
||||
# Update using raw SQL with compatibility for both SQLite and PostgreSQL
|
||||
if self.ap.persistence_mgr.db.name == 'postgresql':
|
||||
await self.ap.persistence_mgr.execute_async(
|
||||
sqlalchemy.text(
|
||||
'UPDATE legacy_pipelines SET config = :config::jsonb, for_version = :for_version WHERE uuid = :uuid'
|
||||
),
|
||||
{'config': json.dumps(config), 'for_version': current_version, 'uuid': uuid},
|
||||
)
|
||||
else:
|
||||
await self.ap.persistence_mgr.execute_async(
|
||||
sqlalchemy.text(
|
||||
'UPDATE legacy_pipelines SET config = :config, for_version = :for_version WHERE uuid = :uuid'
|
||||
),
|
||||
{'config': json.dumps(config), 'for_version': current_version, 'uuid': uuid},
|
||||
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"""
|
||||
|
||||
@@ -1,7 +1,8 @@
|
||||
from .. import migration
|
||||
|
||||
import sqlalchemy
|
||||
import json
|
||||
|
||||
from ...entity.persistence import pipeline as persistence_pipeline
|
||||
|
||||
|
||||
@migration.migration_class(4)
|
||||
@@ -10,43 +11,27 @@ class DBMigrateRAGKBUUID(migration.DBMigration):
|
||||
|
||||
async def upgrade(self):
|
||||
"""升级"""
|
||||
# Read all pipelines using raw SQL
|
||||
result = await self.ap.persistence_mgr.execute_async(
|
||||
sqlalchemy.text('SELECT uuid, config FROM legacy_pipelines')
|
||||
)
|
||||
pipelines = result.fetchall()
|
||||
# read all pipelines
|
||||
pipelines = await self.ap.persistence_mgr.execute_async(sqlalchemy.select(persistence_pipeline.LegacyPipeline))
|
||||
|
||||
current_version = self.ap.ver_mgr.get_current_version()
|
||||
for pipeline in pipelines:
|
||||
serialized_pipeline = self.ap.persistence_mgr.serialize_model(persistence_pipeline.LegacyPipeline, pipeline)
|
||||
|
||||
for pipeline_row in pipelines:
|
||||
uuid = pipeline_row[0]
|
||||
config = json.loads(pipeline_row[1]) if isinstance(pipeline_row[1], str) else pipeline_row[1]
|
||||
config = serialized_pipeline['config']
|
||||
|
||||
# Ensure nested structure exists
|
||||
if 'ai' not in config:
|
||||
config['ai'] = {}
|
||||
if 'local-agent' not in config['ai']:
|
||||
config['ai']['local-agent'] = {}
|
||||
|
||||
# Add 'knowledge-base' if not exists
|
||||
if 'knowledge-base' not in config['ai']['local-agent']:
|
||||
config['ai']['local-agent']['knowledge-base'] = ''
|
||||
|
||||
# Update using raw SQL with compatibility for both SQLite and PostgreSQL
|
||||
if self.ap.persistence_mgr.db.name == 'postgresql':
|
||||
await self.ap.persistence_mgr.execute_async(
|
||||
sqlalchemy.text(
|
||||
'UPDATE legacy_pipelines SET config = :config::jsonb, for_version = :for_version WHERE uuid = :uuid'
|
||||
),
|
||||
{'config': json.dumps(config), 'for_version': current_version, 'uuid': uuid},
|
||||
)
|
||||
else:
|
||||
await self.ap.persistence_mgr.execute_async(
|
||||
sqlalchemy.text(
|
||||
'UPDATE legacy_pipelines SET config = :config, for_version = :for_version WHERE uuid = :uuid'
|
||||
),
|
||||
{'config': json.dumps(config), 'for_version': current_version, 'uuid': uuid},
|
||||
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"""
|
||||
|
||||
@@ -1,7 +1,8 @@
|
||||
from .. import migration
|
||||
|
||||
import sqlalchemy
|
||||
import json
|
||||
|
||||
from ...entity.persistence import pipeline as persistence_pipeline
|
||||
|
||||
|
||||
@migration.migration_class(5)
|
||||
@@ -10,43 +11,27 @@ class DBMigratePipelineRemoveCotConfig(migration.DBMigration):
|
||||
|
||||
async def upgrade(self):
|
||||
"""Upgrade"""
|
||||
# Read all pipelines using raw SQL
|
||||
result = await self.ap.persistence_mgr.execute_async(
|
||||
sqlalchemy.text('SELECT uuid, config FROM legacy_pipelines')
|
||||
)
|
||||
pipelines = result.fetchall()
|
||||
# read all pipelines
|
||||
pipelines = await self.ap.persistence_mgr.execute_async(sqlalchemy.select(persistence_pipeline.LegacyPipeline))
|
||||
|
||||
current_version = self.ap.ver_mgr.get_current_version()
|
||||
for pipeline in pipelines:
|
||||
serialized_pipeline = self.ap.persistence_mgr.serialize_model(persistence_pipeline.LegacyPipeline, pipeline)
|
||||
|
||||
for pipeline_row in pipelines:
|
||||
uuid = pipeline_row[0]
|
||||
config = json.loads(pipeline_row[1]) if isinstance(pipeline_row[1], str) else pipeline_row[1]
|
||||
config = serialized_pipeline['config']
|
||||
|
||||
# Ensure nested structure exists
|
||||
if 'output' not in config:
|
||||
config['output'] = {}
|
||||
if 'misc' not in config['output']:
|
||||
config['output']['misc'] = {}
|
||||
|
||||
# Add 'remove-think' if not exists
|
||||
if 'remove-think' not in config['output']['misc']:
|
||||
config['output']['misc']['remove-think'] = False
|
||||
|
||||
# Update using raw SQL with compatibility for both SQLite and PostgreSQL
|
||||
if self.ap.persistence_mgr.db.name == 'postgresql':
|
||||
await self.ap.persistence_mgr.execute_async(
|
||||
sqlalchemy.text(
|
||||
'UPDATE legacy_pipelines SET config = :config::jsonb, for_version = :for_version WHERE uuid = :uuid'
|
||||
),
|
||||
{'config': json.dumps(config), 'for_version': current_version, 'uuid': uuid},
|
||||
)
|
||||
else:
|
||||
await self.ap.persistence_mgr.execute_async(
|
||||
sqlalchemy.text(
|
||||
'UPDATE legacy_pipelines SET config = :config, for_version = :for_version WHERE uuid = :uuid'
|
||||
),
|
||||
{'config': json.dumps(config), 'for_version': current_version, 'uuid': uuid},
|
||||
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"""
|
||||
|
||||
@@ -1,7 +1,8 @@
|
||||
from .. import migration
|
||||
|
||||
import sqlalchemy
|
||||
import json
|
||||
|
||||
from ...entity.persistence import pipeline as persistence_pipeline
|
||||
|
||||
|
||||
@migration.migration_class(6)
|
||||
@@ -10,23 +11,14 @@ class DBMigrateLangflowApiConfig(migration.DBMigration):
|
||||
|
||||
async def upgrade(self):
|
||||
"""Upgrade"""
|
||||
# Read all pipelines using raw SQL
|
||||
result = await self.ap.persistence_mgr.execute_async(
|
||||
sqlalchemy.text('SELECT uuid, config FROM legacy_pipelines')
|
||||
)
|
||||
pipelines = result.fetchall()
|
||||
# read all pipelines
|
||||
pipelines = await self.ap.persistence_mgr.execute_async(sqlalchemy.select(persistence_pipeline.LegacyPipeline))
|
||||
|
||||
current_version = self.ap.ver_mgr.get_current_version()
|
||||
for pipeline in pipelines:
|
||||
serialized_pipeline = self.ap.persistence_mgr.serialize_model(persistence_pipeline.LegacyPipeline, pipeline)
|
||||
|
||||
for pipeline_row in pipelines:
|
||||
uuid = pipeline_row[0]
|
||||
config = json.loads(pipeline_row[1]) if isinstance(pipeline_row[1], str) else pipeline_row[1]
|
||||
config = serialized_pipeline['config']
|
||||
|
||||
# Ensure 'ai' exists
|
||||
if 'ai' not in config:
|
||||
config['ai'] = {}
|
||||
|
||||
# Add 'langflow-api' if not exists
|
||||
if 'langflow-api' not in config['ai']:
|
||||
config['ai']['langflow-api'] = {
|
||||
'base-url': 'http://localhost:7860',
|
||||
@@ -37,21 +29,16 @@ class DBMigrateLangflowApiConfig(migration.DBMigration):
|
||||
'tweaks': '{}',
|
||||
}
|
||||
|
||||
# Update using raw SQL with compatibility for both SQLite and PostgreSQL
|
||||
if self.ap.persistence_mgr.db.name == 'postgresql':
|
||||
await self.ap.persistence_mgr.execute_async(
|
||||
sqlalchemy.text(
|
||||
'UPDATE legacy_pipelines SET config = :config::jsonb, for_version = :for_version WHERE uuid = :uuid'
|
||||
),
|
||||
{'config': json.dumps(config), 'for_version': current_version, 'uuid': uuid},
|
||||
)
|
||||
else:
|
||||
await self.ap.persistence_mgr.execute_async(
|
||||
sqlalchemy.text(
|
||||
'UPDATE legacy_pipelines SET config = :config, for_version = :for_version WHERE uuid = :uuid'
|
||||
),
|
||||
{'config': json.dumps(config), 'for_version': current_version, 'uuid': uuid},
|
||||
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"""
|
||||
|
||||
@@ -1,7 +1,8 @@
|
||||
from .. import migration
|
||||
|
||||
import sqlalchemy
|
||||
import json
|
||||
|
||||
from ...entity.persistence import pipeline as persistence_pipeline
|
||||
|
||||
|
||||
@migration.migration_class(10)
|
||||
@@ -10,20 +11,16 @@ class DBMigratePipelineMultiKnowledgeBase(migration.DBMigration):
|
||||
|
||||
async def upgrade(self):
|
||||
"""Upgrade"""
|
||||
# Read all pipelines using raw SQL
|
||||
result = await self.ap.persistence_mgr.execute_async(
|
||||
sqlalchemy.text('SELECT uuid, config FROM legacy_pipelines')
|
||||
)
|
||||
pipelines = result.fetchall()
|
||||
# read all pipelines
|
||||
pipelines = await self.ap.persistence_mgr.execute_async(sqlalchemy.select(persistence_pipeline.LegacyPipeline))
|
||||
|
||||
current_version = self.ap.ver_mgr.get_current_version()
|
||||
for pipeline in pipelines:
|
||||
serialized_pipeline = self.ap.persistence_mgr.serialize_model(persistence_pipeline.LegacyPipeline, pipeline)
|
||||
|
||||
for pipeline_row in pipelines:
|
||||
uuid = pipeline_row[0]
|
||||
config = json.loads(pipeline_row[1]) if isinstance(pipeline_row[1], str) else pipeline_row[1]
|
||||
config = serialized_pipeline['config']
|
||||
|
||||
# Convert knowledge-base from string to array
|
||||
if 'ai' in config and 'local-agent' in config['ai']:
|
||||
if 'local-agent' in config['ai']:
|
||||
current_kb = config['ai']['local-agent'].get('knowledge-base', '')
|
||||
|
||||
# If it's already a list, skip
|
||||
@@ -40,38 +37,29 @@ class DBMigratePipelineMultiKnowledgeBase(migration.DBMigration):
|
||||
if 'knowledge-base' in config['ai']['local-agent']:
|
||||
del config['ai']['local-agent']['knowledge-base']
|
||||
|
||||
# Update using raw SQL with compatibility for both SQLite and PostgreSQL
|
||||
if self.ap.persistence_mgr.db.name == 'postgresql':
|
||||
await self.ap.persistence_mgr.execute_async(
|
||||
sqlalchemy.text(
|
||||
'UPDATE legacy_pipelines SET config = :config::jsonb, for_version = :for_version WHERE uuid = :uuid'
|
||||
),
|
||||
{'config': json.dumps(config), 'for_version': current_version, 'uuid': uuid},
|
||||
)
|
||||
else:
|
||||
await self.ap.persistence_mgr.execute_async(
|
||||
sqlalchemy.text(
|
||||
'UPDATE legacy_pipelines SET config = :config, for_version = :for_version WHERE uuid = :uuid'
|
||||
),
|
||||
{'config': json.dumps(config), 'for_version': current_version, 'uuid': uuid},
|
||||
)
|
||||
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"""
|
||||
# Read all pipelines using raw SQL
|
||||
result = await self.ap.persistence_mgr.execute_async(
|
||||
sqlalchemy.text('SELECT uuid, config FROM legacy_pipelines')
|
||||
)
|
||||
pipelines = result.fetchall()
|
||||
# read all pipelines
|
||||
pipelines = await self.ap.persistence_mgr.execute_async(sqlalchemy.select(persistence_pipeline.LegacyPipeline))
|
||||
|
||||
current_version = self.ap.ver_mgr.get_current_version()
|
||||
for pipeline in pipelines:
|
||||
serialized_pipeline = self.ap.persistence_mgr.serialize_model(persistence_pipeline.LegacyPipeline, pipeline)
|
||||
|
||||
for pipeline_row in pipelines:
|
||||
uuid = pipeline_row[0]
|
||||
config = json.loads(pipeline_row[1]) if isinstance(pipeline_row[1], str) else pipeline_row[1]
|
||||
config = serialized_pipeline['config']
|
||||
|
||||
# Convert knowledge-bases from array back to string
|
||||
if 'ai' in config and 'local-agent' in config['ai']:
|
||||
if 'local-agent' in config['ai']:
|
||||
current_kbs = config['ai']['local-agent'].get('knowledge-bases', [])
|
||||
|
||||
# If it's already a string, skip
|
||||
@@ -88,18 +76,13 @@ class DBMigratePipelineMultiKnowledgeBase(migration.DBMigration):
|
||||
if 'knowledge-bases' in config['ai']['local-agent']:
|
||||
del config['ai']['local-agent']['knowledge-bases']
|
||||
|
||||
# Update using raw SQL with compatibility for both SQLite and PostgreSQL
|
||||
if self.ap.persistence_mgr.db.name == 'postgresql':
|
||||
await self.ap.persistence_mgr.execute_async(
|
||||
sqlalchemy.text(
|
||||
'UPDATE legacy_pipelines SET config = :config::jsonb, for_version = :for_version WHERE uuid = :uuid'
|
||||
),
|
||||
{'config': json.dumps(config), 'for_version': current_version, 'uuid': uuid},
|
||||
)
|
||||
else:
|
||||
await self.ap.persistence_mgr.execute_async(
|
||||
sqlalchemy.text(
|
||||
'UPDATE legacy_pipelines SET config = :config, for_version = :for_version WHERE uuid = :uuid'
|
||||
),
|
||||
{'config': json.dumps(config), 'for_version': current_version, 'uuid': uuid},
|
||||
)
|
||||
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(),
|
||||
}
|
||||
)
|
||||
)
|
||||
|
||||
@@ -1,54 +1,39 @@
|
||||
from .. import migration
|
||||
|
||||
import sqlalchemy
|
||||
import json
|
||||
|
||||
from ...entity.persistence import pipeline as persistence_pipeline
|
||||
|
||||
|
||||
@migration.migration_class(11)
|
||||
class DBMigrateDifyApiConfig(migration.DBMigration):
|
||||
"""Dify base prompt config"""
|
||||
"""Langflow API config"""
|
||||
|
||||
async def upgrade(self):
|
||||
"""Upgrade"""
|
||||
# Read all pipelines using raw SQL
|
||||
result = await self.ap.persistence_mgr.execute_async(
|
||||
sqlalchemy.text('SELECT uuid, config FROM legacy_pipelines')
|
||||
)
|
||||
pipelines = result.fetchall()
|
||||
# read all pipelines
|
||||
pipelines = await self.ap.persistence_mgr.execute_async(sqlalchemy.select(persistence_pipeline.LegacyPipeline))
|
||||
|
||||
current_version = self.ap.ver_mgr.get_current_version()
|
||||
for pipeline in pipelines:
|
||||
serialized_pipeline = self.ap.persistence_mgr.serialize_model(persistence_pipeline.LegacyPipeline, pipeline)
|
||||
|
||||
for pipeline_row in pipelines:
|
||||
uuid = pipeline_row[0]
|
||||
config = json.loads(pipeline_row[1]) if isinstance(pipeline_row[1], str) else pipeline_row[1]
|
||||
config = serialized_pipeline['config']
|
||||
|
||||
# Ensure nested structure exists
|
||||
if 'ai' not in config:
|
||||
config['ai'] = {}
|
||||
if 'dify-service-api' not in config['ai']:
|
||||
config['ai']['dify-service-api'] = {}
|
||||
|
||||
# Add 'base-prompt' if not exists
|
||||
if 'base-prompt' not in config['ai']['dify-service-api']:
|
||||
config['ai']['dify-service-api']['base-prompt'] = (
|
||||
'When the file content is readable, please read the content of this file. When the file is an image, describe the content of this image.',
|
||||
)
|
||||
|
||||
# Update using raw SQL with compatibility for both SQLite and PostgreSQL
|
||||
if self.ap.persistence_mgr.db.name == 'postgresql':
|
||||
await self.ap.persistence_mgr.execute_async(
|
||||
sqlalchemy.text(
|
||||
'UPDATE legacy_pipelines SET config = :config::jsonb, for_version = :for_version WHERE uuid = :uuid'
|
||||
),
|
||||
{'config': json.dumps(config), 'for_version': current_version, 'uuid': uuid},
|
||||
)
|
||||
else:
|
||||
await self.ap.persistence_mgr.execute_async(
|
||||
sqlalchemy.text(
|
||||
'UPDATE legacy_pipelines SET config = :config, for_version = :for_version WHERE uuid = :uuid'
|
||||
),
|
||||
{'config': json.dumps(config), 'for_version': current_version, 'uuid': uuid},
|
||||
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"""
|
||||
|
||||
@@ -1,73 +0,0 @@
|
||||
from .. import migration
|
||||
|
||||
import sqlalchemy
|
||||
import json
|
||||
|
||||
|
||||
@migration.migration_class(12)
|
||||
class DBMigratePipelineExtensionsEnableAll(migration.DBMigration):
|
||||
"""Pipeline extensions enable all"""
|
||||
|
||||
async def upgrade(self):
|
||||
"""Upgrade"""
|
||||
# Read all pipelines using raw SQL
|
||||
result = await self.ap.persistence_mgr.execute_async(
|
||||
sqlalchemy.text('SELECT uuid, extensions_preferences FROM legacy_pipelines')
|
||||
)
|
||||
pipelines = result.fetchall()
|
||||
|
||||
current_version = self.ap.ver_mgr.get_current_version()
|
||||
|
||||
for pipeline_row in pipelines:
|
||||
uuid = pipeline_row[0]
|
||||
extensions_preferences = (
|
||||
json.loads(pipeline_row[1]) if isinstance(pipeline_row[1], str) else pipeline_row[1]
|
||||
)
|
||||
|
||||
# Ensure extensions_preferences is a dict
|
||||
if extensions_preferences is None:
|
||||
extensions_preferences = {}
|
||||
|
||||
# Add 'enable_all_plugins' if not exists
|
||||
if 'enable_all_plugins' not in extensions_preferences:
|
||||
if 'plugins' in extensions_preferences:
|
||||
extensions_preferences['enable_all_plugins'] = False
|
||||
else:
|
||||
extensions_preferences['enable_all_plugins'] = True
|
||||
extensions_preferences['plugins'] = []
|
||||
|
||||
# Add 'enable_all_mcp_servers' if not exists
|
||||
if 'enable_all_mcp_servers' not in extensions_preferences:
|
||||
if 'mcp_servers' in extensions_preferences:
|
||||
extensions_preferences['enable_all_mcp_servers'] = False
|
||||
else:
|
||||
extensions_preferences['enable_all_mcp_servers'] = True
|
||||
extensions_preferences['mcp_servers'] = []
|
||||
|
||||
# Update using raw SQL with compatibility for both SQLite and PostgreSQL
|
||||
if self.ap.persistence_mgr.db.name == 'postgresql':
|
||||
await self.ap.persistence_mgr.execute_async(
|
||||
sqlalchemy.text(
|
||||
'UPDATE legacy_pipelines SET extensions_preferences = :extensions_preferences::jsonb, for_version = :for_version WHERE uuid = :uuid'
|
||||
),
|
||||
{
|
||||
'extensions_preferences': json.dumps(extensions_preferences),
|
||||
'for_version': current_version,
|
||||
'uuid': uuid,
|
||||
},
|
||||
)
|
||||
else:
|
||||
await self.ap.persistence_mgr.execute_async(
|
||||
sqlalchemy.text(
|
||||
'UPDATE legacy_pipelines SET extensions_preferences = :extensions_preferences, for_version = :for_version WHERE uuid = :uuid'
|
||||
),
|
||||
{
|
||||
'extensions_preferences': json.dumps(extensions_preferences),
|
||||
'for_version': current_version,
|
||||
'uuid': uuid,
|
||||
},
|
||||
)
|
||||
|
||||
async def downgrade(self):
|
||||
"""Downgrade"""
|
||||
pass
|
||||
@@ -1,49 +0,0 @@
|
||||
import sqlalchemy
|
||||
from .. import migration
|
||||
|
||||
|
||||
@migration.migration_class(13)
|
||||
class DBMigrateKnowledgeBaseUpdatedAt(migration.DBMigration):
|
||||
"""Add updated_at field to knowledge_bases table"""
|
||||
|
||||
async def upgrade(self):
|
||||
"""Upgrade"""
|
||||
# Get all column names from the table
|
||||
columns = []
|
||||
|
||||
if self.ap.persistence_mgr.db.name == 'postgresql':
|
||||
result = await self.ap.persistence_mgr.execute_async(
|
||||
sqlalchemy.text(
|
||||
"SELECT column_name FROM information_schema.columns WHERE table_name = 'knowledge_bases';"
|
||||
)
|
||||
)
|
||||
all_result = result.fetchall()
|
||||
columns = [row[0] for row in all_result]
|
||||
else:
|
||||
result = await self.ap.persistence_mgr.execute_async(sqlalchemy.text('PRAGMA table_info(knowledge_bases);'))
|
||||
all_result = result.fetchall()
|
||||
columns = [row[1] for row in all_result]
|
||||
|
||||
# Check and add updated_at column
|
||||
if 'updated_at' not in columns:
|
||||
if self.ap.persistence_mgr.db.name == 'postgresql':
|
||||
await self.ap.persistence_mgr.execute_async(
|
||||
sqlalchemy.text(
|
||||
'ALTER TABLE knowledge_bases ADD COLUMN updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP'
|
||||
)
|
||||
)
|
||||
else:
|
||||
# SQLite doesn't support DEFAULT CURRENT_TIMESTAMP in ALTER TABLE
|
||||
# Add column without default first
|
||||
await self.ap.persistence_mgr.execute_async(
|
||||
sqlalchemy.text('ALTER TABLE knowledge_bases ADD COLUMN updated_at DATETIME')
|
||||
)
|
||||
|
||||
# Set initial updated_at values to created_at for existing records
|
||||
await self.ap.persistence_mgr.execute_async(
|
||||
sqlalchemy.text('UPDATE knowledge_bases SET updated_at = created_at WHERE updated_at IS NULL')
|
||||
)
|
||||
|
||||
async def downgrade(self):
|
||||
"""Downgrade"""
|
||||
pass
|
||||
@@ -33,14 +33,11 @@ class Controller:
|
||||
|
||||
for query in queries:
|
||||
session = await self.ap.sess_mgr.get_session(query)
|
||||
# Debug logging removed from tight loop to prevent excessive log generation
|
||||
# that can cause memory overflow in high-traffic scenarios
|
||||
self.ap.logger.debug(f'Checking query {query} session {session}')
|
||||
|
||||
if not session._semaphore.locked():
|
||||
selected_query = query
|
||||
await session._semaphore.acquire()
|
||||
# Only log when actually selecting a query
|
||||
self.ap.logger.debug(f'Selected query {query.query_id} for processing')
|
||||
|
||||
break
|
||||
|
||||
|
||||
@@ -69,17 +69,11 @@ class RuntimePipeline:
|
||||
stage_containers: list[StageInstContainer]
|
||||
"""阶段实例容器"""
|
||||
|
||||
bound_plugins: list[str] | None
|
||||
"""绑定到此流水线的插件列表（格式：author/plugin_name），None表示启用所有"""
|
||||
bound_plugins: list[str]
|
||||
"""绑定到此流水线的插件列表（格式：author/plugin_name）"""
|
||||
|
||||
bound_mcp_servers: list[str] | None
|
||||
"""绑定到此流水线的MCP服务器列表（格式：uuid），None表示启用所有"""
|
||||
|
||||
enable_all_plugins: bool
|
||||
"""是否启用所有插件"""
|
||||
|
||||
enable_all_mcp_servers: bool
|
||||
"""是否启用所有MCP服务器"""
|
||||
bound_mcp_servers: list[str]
|
||||
"""绑定到此流水线的MCP服务器列表（格式：uuid）"""
|
||||
|
||||
def __init__(
|
||||
self,
|
||||
@@ -93,22 +87,11 @@ class RuntimePipeline:
|
||||
|
||||
# Extract bound plugins and MCP servers from extensions_preferences
|
||||
extensions_prefs = pipeline_entity.extensions_preferences or {}
|
||||
self.enable_all_plugins = extensions_prefs.get('enable_all_plugins', True)
|
||||
self.enable_all_mcp_servers = extensions_prefs.get('enable_all_mcp_servers', True)
|
||||
plugin_list = extensions_prefs.get('plugins', [])
|
||||
self.bound_plugins = [f'{p["author"]}/{p["name"]}' for p in plugin_list] if plugin_list else []
|
||||
|
||||
if self.enable_all_plugins:
|
||||
# None indicates to use all available plugins
|
||||
self.bound_plugins = None
|
||||
else:
|
||||
plugin_list = extensions_prefs.get('plugins', [])
|
||||
self.bound_plugins = [f'{p["author"]}/{p["name"]}' for p in plugin_list] if plugin_list else []
|
||||
|
||||
if self.enable_all_mcp_servers:
|
||||
# None indicates to use all available MCP servers
|
||||
self.bound_mcp_servers = None
|
||||
else:
|
||||
mcp_server_list = extensions_prefs.get('mcp_servers', [])
|
||||
self.bound_mcp_servers = mcp_server_list if mcp_server_list else []
|
||||
mcp_server_list = extensions_prefs.get('mcp_servers', [])
|
||||
self.bound_mcp_servers = mcp_server_list if mcp_server_list else []
|
||||
|
||||
async def run(self, query: pipeline_query.Query):
|
||||
query.pipeline_config = self.pipeline_entity.config
|
||||
@@ -237,7 +220,6 @@ class RuntimePipeline:
|
||||
launcher_type=query.launcher_type.value,
|
||||
launcher_id=query.launcher_id,
|
||||
sender_id=query.sender_id,
|
||||
message_event=query.message_event,
|
||||
message_chain=query.message_chain,
|
||||
)
|
||||
|
||||
|
||||
@@ -7,7 +7,6 @@ from langbot_plugin.api.entities.builtin.provider import message as provider_mes
|
||||
import langbot_plugin.api.entities.events as events
|
||||
import langbot_plugin.api.entities.builtin.platform.message as platform_message
|
||||
import langbot_plugin.api.entities.builtin.pipeline.query as pipeline_query
|
||||
import langbot_plugin.api.entities.builtin.platform.events as platform_events
|
||||
|
||||
|
||||
@stage.stage_class('PreProcessor')
|
||||
@@ -75,26 +74,12 @@ class PreProcessor(stage.PipelineStage):
|
||||
self.ap.logger.debug(f'Bound MCP servers: {bound_mcp_servers}')
|
||||
self.ap.logger.debug(f'Use funcs: {query.use_funcs}')
|
||||
|
||||
sender_name = ''
|
||||
|
||||
if isinstance(query.message_event, platform_events.GroupMessage):
|
||||
sender_name = query.message_event.sender.member_name
|
||||
elif isinstance(query.message_event, platform_events.FriendMessage):
|
||||
sender_name = query.message_event.sender.nickname
|
||||
|
||||
variables = {
|
||||
'launcher_type': query.session.launcher_type.value,
|
||||
'launcher_id': query.session.launcher_id,
|
||||
'sender_id': query.sender_id,
|
||||
'session_id': f'{query.session.launcher_type.value}_{query.session.launcher_id}',
|
||||
'conversation_id': conversation.uuid,
|
||||
'msg_create_time': (
|
||||
int(query.message_event.time) if query.message_event.time else int(datetime.datetime.now().timestamp())
|
||||
),
|
||||
'group_name': query.message_event.group.name
|
||||
if isinstance(query.message_event, platform_events.GroupMessage)
|
||||
else '',
|
||||
'sender_name': sender_name,
|
||||
}
|
||||
query.variables.update(variables)
|
||||
|
||||
@@ -114,7 +99,7 @@ class PreProcessor(stage.PipelineStage):
|
||||
content_list: list[provider_message.ContentElement] = []
|
||||
|
||||
plain_text = ''
|
||||
quote_msg = query.pipeline_config['trigger'].get('misc', '').get('combine-quote-message')
|
||||
qoute_msg = query.pipeline_config['trigger'].get('misc', '').get('combine-quote-message')
|
||||
|
||||
for me in query.message_chain:
|
||||
if isinstance(me, platform_message.Plain):
|
||||
@@ -126,16 +111,10 @@ class PreProcessor(stage.PipelineStage):
|
||||
):
|
||||
if me.base64 is not None:
|
||||
content_list.append(provider_message.ContentElement.from_image_base64(me.base64))
|
||||
elif isinstance(me, platform_message.Voice):
|
||||
# 转成文件链接，让下游 runner 上传到目标模型
|
||||
if me.base64:
|
||||
content_list.append(provider_message.ContentElement.from_file_base64(me.base64, 'voice.silk'))
|
||||
elif me.url:
|
||||
content_list.append(provider_message.ContentElement.from_file_url(me.url, 'voice'))
|
||||
elif isinstance(me, platform_message.File):
|
||||
# if me.url is not None:
|
||||
content_list.append(provider_message.ContentElement.from_file_url(me.url, me.name))
|
||||
elif isinstance(me, platform_message.Quote) and quote_msg:
|
||||
elif isinstance(me, platform_message.Quote) and qoute_msg:
|
||||
for msg in me.origin:
|
||||
if isinstance(msg, platform_message.Plain):
|
||||
content_list.append(provider_message.ContentElement.from_text(msg.text))
|
||||
|
||||
@@ -14,7 +14,6 @@ from ....utils import importutil
|
||||
from ....provider import runners
|
||||
import langbot_plugin.api.entities.builtin.provider.session as provider_session
|
||||
import langbot_plugin.api.entities.builtin.pipeline.query as pipeline_query
|
||||
import langbot_plugin.api.entities.builtin.provider.message as provider_message
|
||||
|
||||
|
||||
importutil.import_modules_in_pkg(runners)
|
||||
@@ -41,8 +40,6 @@ class ChatMessageHandler(handler.MessageHandler):
|
||||
launcher_id=query.launcher_id,
|
||||
sender_id=query.sender_id,
|
||||
text_message=str(query.message_chain),
|
||||
message_event=query.message_event,
|
||||
message_chain=query.message_chain,
|
||||
query=query,
|
||||
)
|
||||
|
||||
@@ -62,14 +59,8 @@ class ChatMessageHandler(handler.MessageHandler):
|
||||
yield entities.StageProcessResult(result_type=entities.ResultType.INTERRUPT, new_query=query)
|
||||
else:
|
||||
if event_ctx.event.user_message_alter is not None:
|
||||
if isinstance(event_ctx.event.user_message_alter, list):
|
||||
query.user_message.content = event_ctx.event.user_message_alter
|
||||
elif isinstance(event_ctx.event.user_message_alter, str):
|
||||
query.user_message.content = [
|
||||
provider_message.ContentElement.from_text(event_ctx.event.user_message_alter)
|
||||
]
|
||||
elif isinstance(event_ctx.event.user_message_alter, provider_message.ContentElement):
|
||||
query.user_message.content = [event_ctx.event.user_message_alter]
|
||||
# if isinstance(event_ctx.event, str): # 现在暂时不考虑多模态alter
|
||||
query.user_message.content = event_ctx.event.user_message_alter
|
||||
|
||||
text_length = 0
|
||||
try:
|
||||
@@ -83,10 +74,9 @@ class ChatMessageHandler(handler.MessageHandler):
|
||||
runner = r(self.ap, query.pipeline_config)
|
||||
break
|
||||
else:
|
||||
raise ValueError(f'Request Runner not found: {query.pipeline_config["ai"]["runner"]["runner"]}')
|
||||
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()
|
||||
chunk_count = 0 # Track streaming chunks to reduce excessive logging
|
||||
|
||||
async for result in runner.run(query):
|
||||
result.resp_message_id = str(resp_message_id)
|
||||
@@ -99,37 +89,18 @@ class ChatMessageHandler(handler.MessageHandler):
|
||||
await query.adapter.create_message_card(str(resp_message_id), query.message_event)
|
||||
is_create_card = True
|
||||
query.resp_messages.append(result)
|
||||
|
||||
chunk_count += 1
|
||||
# Only log every 10th chunk to reduce excessive logging during streaming
|
||||
# This prevents memory overflow from thousands of log entries per conversation
|
||||
# First chunk uses INFO level to confirm connection establishment
|
||||
if chunk_count == 1:
|
||||
self.ap.logger.info(
|
||||
f'Conversation({query.query_id}) Streaming started: {self.cut_str(result.readable_str())}'
|
||||
)
|
||||
elif chunk_count % 10 == 0:
|
||||
self.ap.logger.debug(
|
||||
f'Conversation({query.query_id}) Streaming chunk {chunk_count}: {self.cut_str(result.readable_str())}'
|
||||
)
|
||||
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)
|
||||
|
||||
# Log final summary after streaming completes
|
||||
self.ap.logger.info(
|
||||
f'Conversation({query.query_id}) Streaming completed: {chunk_count} chunks, {text_length} chars'
|
||||
)
|
||||
|
||||
else:
|
||||
async for result in runner.run(query):
|
||||
query.resp_messages.append(result)
|
||||
|
||||
self.ap.logger.info(
|
||||
f'Conversation({query.query_id}) Response: {self.cut_str(result.readable_str())}'
|
||||
)
|
||||
self.ap.logger.info(f'对话({query.query_id})响应: {self.cut_str(result.readable_str())}')
|
||||
|
||||
if result.content is not None:
|
||||
text_length += len(result.content)
|
||||
@@ -140,7 +111,7 @@ class ChatMessageHandler(handler.MessageHandler):
|
||||
|
||||
query.session.using_conversation.messages.extend(query.resp_messages)
|
||||
except Exception as e:
|
||||
self.ap.logger.error(f'Conversation({query.query_id}) Request Failed: {type(e).__name__} {str(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']
|
||||
|
||||
@@ -31,8 +31,4 @@ class AtBotRule(rule_model.GroupRespondRule):
|
||||
remove_at(message_chain)
|
||||
remove_at(message_chain) # 回复消息时会at两次，检查并删除重复的
|
||||
|
||||
should_respond_at = rule_dict.get('at', None)
|
||||
if should_respond_at is not None:
|
||||
return entities.RuleJudgeResult(matching=found and bool(should_respond_at), replacement=message_chain)
|
||||
|
||||
return entities.RuleJudgeResult(matching=found, replacement=message_chain)
|
||||
|
||||
@@ -96,7 +96,7 @@ class ResponseWrapper(stage.PipelineStage):
|
||||
if result.tool_calls is not None and len(result.tool_calls) > 0: # 有函数调用
|
||||
function_names = [tc.function.name for tc in result.tool_calls]
|
||||
|
||||
reply_text = f'Call {".".join(function_names)}...'
|
||||
reply_text = f'调用函数 {".".join(function_names)}...'
|
||||
|
||||
query.resp_message_chain.append(
|
||||
platform_message.MessageChain([platform_message.Plain(text=reply_text)])
|
||||
|
||||
@@ -66,27 +66,22 @@ class RuntimeBot:
|
||||
message_session_id=f'person_{event.sender.id}',
|
||||
)
|
||||
|
||||
# Push to webhooks and check if pipeline should be skipped
|
||||
skip_pipeline = False
|
||||
# Push to webhooks
|
||||
if hasattr(self.ap, 'webhook_pusher') and self.ap.webhook_pusher:
|
||||
skip_pipeline = await self.ap.webhook_pusher.push_person_message(
|
||||
event, self.bot_entity.uuid, adapter.__class__.__name__
|
||||
asyncio.create_task(
|
||||
self.ap.webhook_pusher.push_person_message(event, self.bot_entity.uuid, adapter.__class__.__name__)
|
||||
)
|
||||
|
||||
# Only add to query pool if no webhook requested to skip pipeline
|
||||
if not skip_pipeline:
|
||||
await self.ap.query_pool.add_query(
|
||||
bot_uuid=self.bot_entity.uuid,
|
||||
launcher_type=provider_session.LauncherTypes.PERSON,
|
||||
launcher_id=event.sender.id,
|
||||
sender_id=event.sender.id,
|
||||
message_event=event,
|
||||
message_chain=event.message_chain,
|
||||
adapter=adapter,
|
||||
pipeline_uuid=self.bot_entity.use_pipeline_uuid,
|
||||
)
|
||||
else:
|
||||
await self.logger.info(f'Pipeline skipped for person message due to webhook response')
|
||||
await self.ap.query_pool.add_query(
|
||||
bot_uuid=self.bot_entity.uuid,
|
||||
launcher_type=provider_session.LauncherTypes.PERSON,
|
||||
launcher_id=event.sender.id,
|
||||
sender_id=event.sender.id,
|
||||
message_event=event,
|
||||
message_chain=event.message_chain,
|
||||
adapter=adapter,
|
||||
pipeline_uuid=self.bot_entity.use_pipeline_uuid,
|
||||
)
|
||||
|
||||
async def on_group_message(
|
||||
event: platform_events.GroupMessage,
|
||||
@@ -102,27 +97,22 @@ class RuntimeBot:
|
||||
message_session_id=f'group_{event.group.id}',
|
||||
)
|
||||
|
||||
# Push to webhooks and check if pipeline should be skipped
|
||||
skip_pipeline = False
|
||||
# Push to webhooks
|
||||
if hasattr(self.ap, 'webhook_pusher') and self.ap.webhook_pusher:
|
||||
skip_pipeline = await self.ap.webhook_pusher.push_group_message(
|
||||
event, self.bot_entity.uuid, adapter.__class__.__name__
|
||||
asyncio.create_task(
|
||||
self.ap.webhook_pusher.push_group_message(event, self.bot_entity.uuid, adapter.__class__.__name__)
|
||||
)
|
||||
|
||||
# Only add to query pool if no webhook requested to skip pipeline
|
||||
if not skip_pipeline:
|
||||
await self.ap.query_pool.add_query(
|
||||
bot_uuid=self.bot_entity.uuid,
|
||||
launcher_type=provider_session.LauncherTypes.GROUP,
|
||||
launcher_id=event.group.id,
|
||||
sender_id=event.sender.id,
|
||||
message_event=event,
|
||||
message_chain=event.message_chain,
|
||||
adapter=adapter,
|
||||
pipeline_uuid=self.bot_entity.use_pipeline_uuid,
|
||||
)
|
||||
else:
|
||||
await self.logger.info(f'Pipeline skipped for group message due to webhook response')
|
||||
await self.ap.query_pool.add_query(
|
||||
bot_uuid=self.bot_entity.uuid,
|
||||
launcher_type=provider_session.LauncherTypes.GROUP,
|
||||
launcher_id=event.group.id,
|
||||
sender_id=event.sender.id,
|
||||
message_event=event,
|
||||
message_chain=event.message_chain,
|
||||
adapter=adapter,
|
||||
pipeline_uuid=self.bot_entity.use_pipeline_uuid,
|
||||
)
|
||||
|
||||
self.adapter.register_listener(platform_events.FriendMessage, on_friend_message)
|
||||
self.adapter.register_listener(platform_events.GroupMessage, on_group_message)
|
||||
@@ -166,7 +156,7 @@ class PlatformManager:
|
||||
|
||||
bots: list[RuntimeBot]
|
||||
|
||||
websocket_proxy_bot: RuntimeBot
|
||||
webchat_proxy_bot: RuntimeBot
|
||||
|
||||
adapter_components: list[engine.Component]
|
||||
|
||||
@@ -188,29 +178,31 @@ class PlatformManager:
|
||||
adapter_dict[component.metadata.name] = component.get_python_component_class()
|
||||
self.adapter_dict = adapter_dict
|
||||
|
||||
# initialize websocket adapter
|
||||
websocket_adapter_class = self.adapter_dict['websocket']
|
||||
websocket_logger = EventLogger(name='websocket-adapter', ap=self.ap)
|
||||
websocket_adapter_inst = websocket_adapter_class(
|
||||
webchat_adapter_class = self.adapter_dict['webchat']
|
||||
|
||||
# initialize webchat adapter
|
||||
webchat_logger = EventLogger(name='webchat-adapter', ap=self.ap)
|
||||
webchat_adapter_inst = webchat_adapter_class(
|
||||
{},
|
||||
websocket_logger,
|
||||
webchat_logger,
|
||||
ap=self.ap,
|
||||
is_stream=False,
|
||||
)
|
||||
|
||||
self.websocket_proxy_bot = RuntimeBot(
|
||||
self.webchat_proxy_bot = RuntimeBot(
|
||||
ap=self.ap,
|
||||
bot_entity=persistence_bot.Bot(
|
||||
uuid='websocket-proxy-bot',
|
||||
name='WebSocket',
|
||||
uuid='webchat-proxy-bot',
|
||||
name='WebChat',
|
||||
description='',
|
||||
adapter='websocket',
|
||||
adapter='webchat',
|
||||
adapter_config={},
|
||||
enable=True,
|
||||
),
|
||||
adapter=websocket_adapter_inst,
|
||||
logger=websocket_logger,
|
||||
adapter=webchat_adapter_inst,
|
||||
logger=webchat_logger,
|
||||
)
|
||||
await self.websocket_proxy_bot.initialize()
|
||||
await self.webchat_proxy_bot.initialize()
|
||||
|
||||
await self.load_bots_from_db()
|
||||
|
||||
@@ -255,10 +247,6 @@ class PlatformManager:
|
||||
logger,
|
||||
)
|
||||
|
||||
# 如果 adapter 支持 set_bot_uuid 方法，设置 bot_uuid（用于统一 webhook）
|
||||
if hasattr(adapter_inst, 'set_bot_uuid'):
|
||||
adapter_inst.set_bot_uuid(bot_entity.uuid)
|
||||
|
||||
runtime_bot = RuntimeBot(ap=self.ap, bot_entity=bot_entity, adapter=adapter_inst, logger=logger)
|
||||
|
||||
await runtime_bot.initialize()
|
||||
@@ -283,7 +271,7 @@ class PlatformManager:
|
||||
|
||||
def get_available_adapters_info(self) -> list[dict]:
|
||||
return [
|
||||
component.to_plain_dict() for component in self.adapter_components if component.metadata.name != 'websocket'
|
||||
component.to_plain_dict() for component in self.adapter_components if component.metadata.name != 'webchat'
|
||||
]
|
||||
|
||||
def get_available_adapter_info_by_name(self, name: str) -> dict | None:
|
||||
@@ -300,7 +288,7 @@ class PlatformManager:
|
||||
|
||||
async def run(self):
|
||||
# This method will only be called when the application launching
|
||||
await self.websocket_proxy_bot.run()
|
||||
await self.webchat_proxy_bot.run()
|
||||
|
||||
for bot in self.bots:
|
||||
if bot.enable:
|
||||
|
||||
@@ -209,7 +209,7 @@ class AiocqhttpMessageConverter(abstract_platform_adapter.AbstractMessageConvert
|
||||
elif msg_data['type'] == 'text':
|
||||
reply_list.append(platform_message.Plain(text=msg_data['data']['text']))
|
||||
|
||||
elif msg_data['type'] == 'forward': # 这里来应该传入转发消息组，暂时传入Quote
|
||||
elif msg_data['type'] == 'forward': # 这里来应该传入转发消息组，暂时传入qoute
|
||||
for forward_msg_datas in msg_data['data']['content']:
|
||||
for forward_msg_data in forward_msg_datas['message']:
|
||||
await process_message_data(forward_msg_data, reply_list)
|
||||
@@ -259,7 +259,7 @@ class AiocqhttpMessageConverter(abstract_platform_adapter.AbstractMessageConvert
|
||||
# await process_message_data(msg_data, yiri_msg_list)
|
||||
pass
|
||||
|
||||
elif msg.type == 'reply': # 此处处理引用消息传入Quote
|
||||
elif msg.type == 'reply': # 此处处理引用消息传入Qoute
|
||||
msg_datas = await bot.get_msg(message_id=msg.data['id'])
|
||||
|
||||
for msg_data in msg_datas['message']:
|
||||
@@ -327,6 +327,9 @@ class AiocqhttpEventConverter(abstract_platform_adapter.AbstractEventConverter):
|
||||
permission=platform_entities.Permission.Member,
|
||||
),
|
||||
special_title=event.sender['title'] if 'title' in event.sender else '',
|
||||
join_timestamp=0,
|
||||
last_speak_timestamp=0,
|
||||
mute_time_remaining=0,
|
||||
),
|
||||
message_chain=yiri_chain,
|
||||
time=event.time,
|
||||
|
||||
@@ -12,41 +12,17 @@ from langbot.pkg.platform.logger import EventLogger
|
||||
|
||||
class DingTalkMessageConverter(abstract_platform_adapter.AbstractMessageConverter):
|
||||
@staticmethod
|
||||
def _format_image_as_markdown(msg: platform_message.Image) -> str:
|
||||
"""Convert an Image message to Markdown format for DingTalk."""
|
||||
if msg.url:
|
||||
return f'\n\n'
|
||||
elif msg.base64:
|
||||
# For base64 images, try to include them as data URIs
|
||||
# DingTalk may have limited support for base64 in markdown
|
||||
if msg.base64.startswith('data:'):
|
||||
return f'\n\n'
|
||||
else:
|
||||
return f'\n\n'
|
||||
return ''
|
||||
|
||||
@staticmethod
|
||||
async def yiri2target(message_chain: platform_message.MessageChain, markdown_enabled: bool = True):
|
||||
async def yiri2target(message_chain: platform_message.MessageChain):
|
||||
content = ''
|
||||
at = False
|
||||
for msg in message_chain:
|
||||
if type(msg) is platform_message.At:
|
||||
at = True
|
||||
elif type(msg) is platform_message.Plain:
|
||||
if type(msg) is platform_message.Plain:
|
||||
content += msg.text
|
||||
elif type(msg) is platform_message.Image:
|
||||
# DingTalk supports markdown images when markdown_card is enabled
|
||||
# When markdown is disabled, images cannot be rendered in plain text mode
|
||||
if markdown_enabled:
|
||||
content += DingTalkMessageConverter._format_image_as_markdown(msg)
|
||||
# Note: When markdown_enabled is False, images are not included
|
||||
# as DingTalk plain text messages don't support image embedding
|
||||
elif type(msg) is platform_message.Forward:
|
||||
if type(msg) is platform_message.Forward:
|
||||
for node in msg.node_list:
|
||||
forwarded_content, _ = await DingTalkMessageConverter.yiri2target(
|
||||
node.message_chain, markdown_enabled
|
||||
)
|
||||
content += forwarded_content
|
||||
content += (await DingTalkMessageConverter.yiri2target(node.message_chain))[0]
|
||||
return content, at
|
||||
|
||||
@staticmethod
|
||||
@@ -119,6 +95,9 @@ class DingTalkEventConverter(abstract_platform_adapter.AbstractEventConverter):
|
||||
permission=platform_entities.Permission.Member,
|
||||
),
|
||||
special_title='',
|
||||
join_timestamp=0,
|
||||
last_speak_timestamp=0,
|
||||
mute_time_remaining=0,
|
||||
)
|
||||
time = event.incoming_message.create_at
|
||||
return platform_events.GroupMessage(
|
||||
@@ -178,8 +157,7 @@ class DingTalkAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
|
||||
)
|
||||
incoming_message = event.incoming_message
|
||||
|
||||
markdown_enabled = self.config.get('markdown_card', False)
|
||||
content, at = await DingTalkMessageConverter.yiri2target(message, markdown_enabled)
|
||||
content, at = await DingTalkMessageConverter.yiri2target(message)
|
||||
await self.bot.send_message(content, incoming_message, at)
|
||||
|
||||
async def reply_message_chunk(
|
||||
@@ -200,8 +178,7 @@ class DingTalkAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
|
||||
msg_seq = bot_message.msg_sequence
|
||||
|
||||
if (msg_seq - 1) % 8 == 0 or is_final:
|
||||
markdown_enabled = self.config.get('markdown_card', False)
|
||||
content, at = await DingTalkMessageConverter.yiri2target(message, markdown_enabled)
|
||||
content, at = await DingTalkMessageConverter.yiri2target(message)
|
||||
|
||||
card_instance, card_instance_id = self.card_instance_id_dict[message_id]
|
||||
if not content and bot_message.content:
|
||||
@@ -214,8 +191,7 @@ class DingTalkAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
|
||||
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):
|
||||
markdown_enabled = self.config.get('markdown_card', False)
|
||||
content, _ = await DingTalkMessageConverter.yiri2target(message, markdown_enabled)
|
||||
content = await DingTalkMessageConverter.yiri2target(message)
|
||||
if target_type == 'person':
|
||||
await self.bot.send_proactive_message_to_one(target_id, content)
|
||||
if target_type == 'group':
|
||||
@@ -260,8 +236,7 @@ class DingTalkAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
|
||||
await self.bot.start()
|
||||
|
||||
async def kill(self) -> bool:
|
||||
await self.bot.stop()
|
||||
return True
|
||||
return False
|
||||
|
||||
async def is_muted(self) -> bool:
|
||||
return False
|
||||
|
||||
@@ -8,9 +8,6 @@ import base64
|
||||
import uuid
|
||||
import os
|
||||
import datetime
|
||||
|
||||
# 使用BytesIO创建文件对象，避免路径问题
|
||||
import io
|
||||
import asyncio
|
||||
from enum import Enum
|
||||
|
||||
@@ -597,7 +594,7 @@ class DiscordMessageConverter(abstract_platform_adapter.AbstractMessageConverter
|
||||
break
|
||||
|
||||
text_string = ''
|
||||
files = []
|
||||
image_files = []
|
||||
|
||||
for ele in message_chain:
|
||||
if isinstance(ele, platform_message.Image):
|
||||
@@ -671,67 +668,22 @@ class DiscordMessageConverter(abstract_platform_adapter.AbstractMessageConverter
|
||||
continue # 跳过读取失败的文件
|
||||
|
||||
if image_bytes:
|
||||
files.append(discord.File(fp=io.BytesIO(image_bytes), filename=filename))
|
||||
# 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.Voice):
|
||||
file_bytes = None
|
||||
filename = f'{uuid.uuid4()}.mp3'
|
||||
if ele.base64:
|
||||
if ele.base64.startswith('data:'):
|
||||
data_header = ele.base64.split(',')[0]
|
||||
if 'wav' in data_header:
|
||||
filename = f'{uuid.uuid4()}.wav'
|
||||
elif 'mp3' in data_header:
|
||||
filename = f'{uuid.uuid4()}.mp3'
|
||||
elif 'ogg' in data_header:
|
||||
filename = f'{uuid.uuid4()}.ogg'
|
||||
elif 'm4a' in data_header:
|
||||
filename = f'{uuid.uuid4()}.m4a'
|
||||
elif 'aac' in data_header:
|
||||
filename = f'{uuid.uuid4()}.aac'
|
||||
elif 'flac' in data_header:
|
||||
filename = f'{uuid.uuid4()}.flac'
|
||||
elif 'alac' in data_header:
|
||||
filename = f'{uuid.uuid4()}.alac'
|
||||
elif 'opus' in data_header:
|
||||
filename = f'{uuid.uuid4()}.opus'
|
||||
elif 'webm' in data_header:
|
||||
filename = f'{uuid.uuid4()}.webm'
|
||||
|
||||
file_base64 = ele.base64.split(',')[-1]
|
||||
file_bytes = base64.b64decode(file_base64)
|
||||
elif ele.url:
|
||||
async with aiohttp.ClientSession() as session:
|
||||
async with session.get(ele.url) as response:
|
||||
file_bytes = await response.read()
|
||||
if file_bytes:
|
||||
files.append(discord.File(fp=io.BytesIO(file_bytes), filename=filename))
|
||||
elif isinstance(ele, platform_message.File):
|
||||
file_bytes = None
|
||||
filename = f'{uuid.uuid4()}.{ele.name.split(".")[-1]}'
|
||||
if ele.base64:
|
||||
if ele.base64.startswith('data:'):
|
||||
file_base64 = ele.base64.split(',')[1]
|
||||
file_bytes = base64.b64decode(file_base64)
|
||||
else:
|
||||
file_bytes = base64.b64decode(ele.base64)
|
||||
elif ele.url:
|
||||
async with aiohttp.ClientSession() as session:
|
||||
async with session.get(ele.url) as response:
|
||||
file_bytes = await response.read()
|
||||
if file_bytes:
|
||||
files.append(discord.File(fp=io.BytesIO(file_bytes), filename=filename))
|
||||
elif isinstance(ele, platform_message.Forward):
|
||||
for node in ele.node_list:
|
||||
(
|
||||
node_text,
|
||||
node_files,
|
||||
node_images,
|
||||
) = await DiscordMessageConverter.yiri2target(node.message_chain)
|
||||
text_string += node_text
|
||||
files.extend(node_files)
|
||||
image_files.extend(node_images)
|
||||
|
||||
return text_string, files
|
||||
return text_string, image_files
|
||||
|
||||
@staticmethod
|
||||
async def target2yiri(message: discord.Message) -> platform_message.MessageChain:
|
||||
@@ -817,6 +769,9 @@ class DiscordEventConverter(abstract_platform_adapter.AbstractEventConverter):
|
||||
permission=platform_entities.Permission.Member,
|
||||
),
|
||||
special_title='',
|
||||
join_timestamp=0,
|
||||
last_speak_timestamp=0,
|
||||
mute_time_remaining=0,
|
||||
),
|
||||
message_chain=message_chain,
|
||||
time=event.created_at.timestamp(),
|
||||
@@ -1038,7 +993,7 @@ class DiscordAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
|
||||
await self.voice_manager.cleanup_inactive_connections()
|
||||
|
||||
async def send_message(self, target_type: str, target_id: str, message: platform_message.MessageChain):
|
||||
msg_to_send, files = await self.message_converter.yiri2target(message)
|
||||
msg_to_send, image_files = await self.message_converter.yiri2target(message)
|
||||
|
||||
try:
|
||||
# 获取频道对象
|
||||
@@ -1051,8 +1006,8 @@ class DiscordAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
|
||||
'content': msg_to_send,
|
||||
}
|
||||
|
||||
if len(files) > 0:
|
||||
args['files'] = files
|
||||
if len(image_files) > 0:
|
||||
args['files'] = image_files
|
||||
|
||||
await channel.send(**args)
|
||||
|
||||
@@ -1066,16 +1021,15 @@ class DiscordAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
|
||||
message: platform_message.MessageChain,
|
||||
quote_origin: bool = False,
|
||||
):
|
||||
msg_to_send, files = await self.message_converter.yiri2target(message)
|
||||
|
||||
msg_to_send, image_files = await self.message_converter.yiri2target(message)
|
||||
assert isinstance(message_source.source_platform_object, discord.Message)
|
||||
|
||||
args = {
|
||||
'content': msg_to_send,
|
||||
}
|
||||
|
||||
if len(files) > 0:
|
||||
args['files'] = files
|
||||
if len(image_files) > 0:
|
||||
args['files'] = image_files
|
||||
|
||||
if quote_origin:
|
||||
args['reference'] = message_source.source_platform_object
|
||||
|
||||
Binary file not shown.
|
Before Width: | Height: | Size: 14 KiB |
@@ -1,680 +0,0 @@
|
||||
from __future__ import annotations
|
||||
|
||||
import typing
|
||||
import asyncio
|
||||
import json
|
||||
import base64
|
||||
import zlib
|
||||
import traceback
|
||||
import time
|
||||
|
||||
import aiohttp
|
||||
import websockets
|
||||
import pydantic
|
||||
|
||||
import langbot_plugin.api.definition.abstract.platform.adapter as abstract_platform_adapter
|
||||
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
|
||||
|
||||
|
||||
class KookMessageConverter(abstract_platform_adapter.AbstractMessageConverter):
|
||||
"""Convert between LangBot MessageChain and KOOK message format"""
|
||||
|
||||
@staticmethod
|
||||
async def yiri2target(message_chain: platform_message.MessageChain) -> tuple[str, int]:
|
||||
"""
|
||||
Convert LangBot MessageChain to KOOK message format
|
||||
|
||||
Returns:
|
||||
tuple: (content, message_type)
|
||||
- content: message content string
|
||||
- message_type: 1=text, 2=image, 4=file, 9=KMarkdown
|
||||
"""
|
||||
content_parts = []
|
||||
message_type = 1 # Default to text
|
||||
|
||||
for component in message_chain:
|
||||
if isinstance(component, platform_message.Plain):
|
||||
content_parts.append(component.text)
|
||||
elif isinstance(component, platform_message.At):
|
||||
# KOOK mention format: (met)user_id(met)
|
||||
if component.target:
|
||||
content_parts.append(f'(met){component.target}(met)')
|
||||
elif isinstance(component, platform_message.AtAll):
|
||||
# KOOK @all format: (met)all(met)
|
||||
content_parts.append('(met)all(met)')
|
||||
elif isinstance(component, platform_message.Image):
|
||||
# For images, we need to upload first via KOOK's asset API
|
||||
# For now, we'll send the image URL if available
|
||||
if component.url:
|
||||
content_parts.append(component.url)
|
||||
message_type = 2 # Image message type
|
||||
elif isinstance(component, platform_message.Forward):
|
||||
# Handle forward messages by concatenating content
|
||||
for node in component.node_list:
|
||||
forward_content, _ = await KookMessageConverter.yiri2target(node.message_chain)
|
||||
content_parts.append(forward_content)
|
||||
# Ignore Source and other components
|
||||
|
||||
content = ''.join(content_parts)
|
||||
return content, message_type
|
||||
|
||||
@staticmethod
|
||||
async def target2yiri(kook_message: dict, bot_account_id: str = '') -> platform_message.MessageChain:
|
||||
"""
|
||||
Convert KOOK message format to LangBot MessageChain
|
||||
|
||||
Args:
|
||||
kook_message: KOOK message event data dict
|
||||
bot_account_id: Bot's account ID for handling role mentions
|
||||
"""
|
||||
components = []
|
||||
|
||||
msg_type = kook_message.get('type', 1)
|
||||
content = kook_message.get('content', '')
|
||||
extra = kook_message.get('extra', {})
|
||||
|
||||
# Handle mentions
|
||||
mentions = extra.get('mention', [])
|
||||
mention_all = extra.get('mention_all', False)
|
||||
mention_roles = extra.get('mention_roles', [])
|
||||
|
||||
if mention_all:
|
||||
components.append(platform_message.AtAll())
|
||||
|
||||
for mention_id in mentions:
|
||||
components.append(platform_message.At(target=str(mention_id)))
|
||||
|
||||
# Handle role mentions (when bot is mentioned via role)
|
||||
# In KOOK, when a role that the bot has is mentioned, we receive it as a role mention
|
||||
# We need to convert this to an At with the bot's account ID for the pipeline to recognize it
|
||||
if mention_roles and bot_account_id:
|
||||
# Add an At component with the bot's account ID when any role is mentioned
|
||||
# This is because KOOK bots are often assigned roles and @role mentions should trigger responses
|
||||
components.append(platform_message.At(target=bot_account_id))
|
||||
|
||||
# Strip mention patterns from content
|
||||
# Remove user mention patterns: (met)USER_ID(met)
|
||||
for mention_id in mentions:
|
||||
content = content.replace(f'(met){mention_id}(met)', '')
|
||||
|
||||
# Remove @all pattern
|
||||
if mention_all:
|
||||
content = content.replace('(met)all(met)', '')
|
||||
|
||||
# Remove role mention patterns: (rol)ROLE_ID(rol)
|
||||
for role_id in mention_roles:
|
||||
content = content.replace(f'(rol){role_id}(rol)', '')
|
||||
|
||||
# Clean up extra whitespace
|
||||
content = content.strip()
|
||||
|
||||
# Handle different message types
|
||||
if msg_type == 1: # Text message
|
||||
if content:
|
||||
components.append(platform_message.Plain(text=content))
|
||||
elif msg_type == 2: # Image message
|
||||
# Image content is typically a URL
|
||||
if content:
|
||||
# Download image and convert to base64
|
||||
try:
|
||||
async with aiohttp.ClientSession() as session:
|
||||
async with session.get(content) as response:
|
||||
if response.status == 200:
|
||||
image_bytes = await response.read()
|
||||
image_base64 = base64.b64encode(image_bytes).decode('utf-8')
|
||||
# Detect image format
|
||||
content_type = response.headers.get('Content-Type', 'image/png')
|
||||
components.append(
|
||||
platform_message.Image(base64=f'data:{content_type};base64,{image_base64}')
|
||||
)
|
||||
except Exception:
|
||||
# If download fails, just add as plain text
|
||||
components.append(platform_message.Plain(text=f'[Image: {content}]'))
|
||||
elif msg_type == 4: # File message
|
||||
# For file messages, content is typically the file URL
|
||||
attachments = extra.get('attachments', {})
|
||||
file_name = attachments.get('name', 'file')
|
||||
components.append(platform_message.File(url=content, name=file_name))
|
||||
elif msg_type == 8: # Audio message
|
||||
# For audio messages, content is typically the audio URL
|
||||
attachments = extra.get('attachments', {})
|
||||
components.append(platform_message.Voice(url=content))
|
||||
elif msg_type == 9: # KMarkdown message
|
||||
# Note: content is already stripped of mention patterns above
|
||||
if content:
|
||||
components.append(platform_message.Plain(text=content))
|
||||
elif msg_type == 10: # Card message
|
||||
# Card messages are complex, for now just indicate it's a card
|
||||
components.append(platform_message.Plain(text='[Card Message]'))
|
||||
else:
|
||||
# Other message types, just use content as plain text
|
||||
if content:
|
||||
components.append(platform_message.Plain(text=content))
|
||||
|
||||
return platform_message.MessageChain(components)
|
||||
|
||||
|
||||
class KookEventConverter(abstract_platform_adapter.AbstractEventConverter):
|
||||
"""Convert between LangBot events and KOOK events"""
|
||||
|
||||
@staticmethod
|
||||
async def yiri2target(event: platform_events.MessageEvent):
|
||||
"""Convert LangBot event to KOOK event (not implemented)"""
|
||||
pass
|
||||
|
||||
@staticmethod
|
||||
async def target2yiri(kook_event: dict, bot_account_id: str = '') -> platform_events.MessageEvent:
|
||||
"""
|
||||
Convert KOOK event to LangBot MessageEvent
|
||||
|
||||
Args:
|
||||
kook_event: KOOK event data dict containing channel_type, type, etc.
|
||||
bot_account_id: Bot's account ID for handling role mentions
|
||||
|
||||
Returns:
|
||||
FriendMessage or GroupMessage depending on channel_type
|
||||
"""
|
||||
channel_type = kook_event.get('channel_type')
|
||||
author_id = kook_event.get('author_id')
|
||||
target_id = kook_event.get('target_id')
|
||||
msg_timestamp = kook_event.get('msg_timestamp', int(time.time() * 1000))
|
||||
extra = kook_event.get('extra', {})
|
||||
|
||||
# Convert message to MessageChain
|
||||
message_chain = await KookMessageConverter.target2yiri(kook_event, bot_account_id)
|
||||
|
||||
# Convert timestamp from milliseconds to seconds
|
||||
event_time = msg_timestamp / 1000.0
|
||||
|
||||
if channel_type == 'PERSON':
|
||||
# Direct/Private message
|
||||
author = extra.get('author', {})
|
||||
author_name = author.get('nickname', author.get('username', str(author_id)))
|
||||
|
||||
return platform_events.FriendMessage(
|
||||
sender=platform_entities.Friend(
|
||||
id=str(author_id),
|
||||
nickname=author_name,
|
||||
remark=str(author_id),
|
||||
),
|
||||
message_chain=message_chain,
|
||||
time=event_time,
|
||||
source_platform_object=kook_event,
|
||||
)
|
||||
elif channel_type == 'GROUP':
|
||||
# Guild/Server channel message
|
||||
author = extra.get('author', {})
|
||||
author_name = author.get('nickname', author.get('username', str(author_id)))
|
||||
|
||||
# guild_id = extra.get('guild_id', '')
|
||||
channel_name = extra.get('channel_name', str(target_id))
|
||||
|
||||
return platform_events.GroupMessage(
|
||||
sender=platform_entities.GroupMember(
|
||||
id=str(author_id),
|
||||
member_name=author_name,
|
||||
permission=platform_entities.Permission.Member,
|
||||
group=platform_entities.Group(
|
||||
id=str(target_id), # Channel ID
|
||||
name=channel_name,
|
||||
permission=platform_entities.Permission.Member,
|
||||
),
|
||||
special_title='',
|
||||
),
|
||||
message_chain=message_chain,
|
||||
time=event_time,
|
||||
source_platform_object=kook_event,
|
||||
)
|
||||
else:
|
||||
# Fallback to FriendMessage for unknown channel types
|
||||
return platform_events.FriendMessage(
|
||||
sender=platform_entities.Friend(
|
||||
id=str(author_id),
|
||||
nickname=str(author_id),
|
||||
remark=str(author_id),
|
||||
),
|
||||
message_chain=message_chain,
|
||||
time=event_time,
|
||||
source_platform_object=kook_event,
|
||||
)
|
||||
|
||||
|
||||
class KookAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
|
||||
"""KOOK platform adapter for LangBot"""
|
||||
|
||||
config: dict
|
||||
message_converter: KookMessageConverter = KookMessageConverter()
|
||||
event_converter: KookEventConverter = KookEventConverter()
|
||||
listeners: typing.Dict[
|
||||
typing.Type[platform_events.Event],
|
||||
typing.Callable[[platform_events.Event, abstract_platform_adapter.AbstractMessagePlatformAdapter], None],
|
||||
] = {}
|
||||
|
||||
# WebSocket connection
|
||||
ws: typing.Optional[websockets.WebSocketClientProtocol] = pydantic.Field(exclude=True, default=None)
|
||||
ws_task: typing.Optional[asyncio.Task] = pydantic.Field(exclude=True, default=None)
|
||||
heartbeat_task: typing.Optional[asyncio.Task] = pydantic.Field(exclude=True, default=None)
|
||||
running: bool = pydantic.Field(exclude=True, default=False)
|
||||
|
||||
# Connection state
|
||||
session_id: str = pydantic.Field(exclude=True, default='')
|
||||
current_sn: int = pydantic.Field(exclude=True, default=0)
|
||||
gateway_url: str = pydantic.Field(exclude=True, default='')
|
||||
|
||||
# HTTP session
|
||||
http_session: typing.Optional[aiohttp.ClientSession] = pydantic.Field(exclude=True, default=None)
|
||||
|
||||
def __init__(self, config: dict, logger: abstract_platform_logger.AbstractEventLogger, **kwargs):
|
||||
# Debug: Track init
|
||||
with open('/tmp/kook_adapter_init.txt', 'w') as f:
|
||||
f.write(f'KOOK adapter __init__ called at {time.time()}\n')
|
||||
|
||||
# Validate required config
|
||||
if 'token' not in config:
|
||||
raise Exception('KOOK adapter requires "token" in config')
|
||||
|
||||
super().__init__(
|
||||
config=config,
|
||||
logger=logger,
|
||||
bot_account_id='', # Will be set after connection
|
||||
listeners={},
|
||||
**kwargs,
|
||||
)
|
||||
|
||||
async def _get_gateway_url(self) -> str:
|
||||
"""Get WebSocket gateway URL from KOOK API"""
|
||||
base_url = 'https://www.kookapp.cn/api/v3/gateway/index'
|
||||
|
||||
# Always use compression for better performance
|
||||
params = {'compress': 1}
|
||||
|
||||
headers = {
|
||||
'Authorization': f'Bot {self.config["token"]}',
|
||||
}
|
||||
|
||||
async with aiohttp.ClientSession() as session:
|
||||
async with session.get(base_url, params=params, headers=headers) as response:
|
||||
if response.status == 200:
|
||||
data = await response.json()
|
||||
if data.get('code') == 0:
|
||||
gateway_url = data['data']['url']
|
||||
return gateway_url
|
||||
else:
|
||||
raise Exception(f'Failed to get gateway URL: {data.get("message")}')
|
||||
else:
|
||||
raise Exception(f'Failed to get gateway URL: HTTP {response.status}')
|
||||
|
||||
async def _get_bot_user_info(self) -> dict:
|
||||
"""Get bot's own user information from KOOK API"""
|
||||
base_url = 'https://www.kookapp.cn/api/v3/user/me'
|
||||
|
||||
headers = {
|
||||
'Authorization': f'Bot {self.config["token"]}',
|
||||
}
|
||||
|
||||
async with aiohttp.ClientSession() as session:
|
||||
async with session.get(base_url, headers=headers) as response:
|
||||
if response.status == 200:
|
||||
data = await response.json()
|
||||
if data.get('code') == 0:
|
||||
user_info = data['data']
|
||||
return user_info
|
||||
else:
|
||||
raise Exception(f'Failed to get bot user info: {data.get("message")}')
|
||||
else:
|
||||
raise Exception(f'Failed to get bot user info: HTTP {response.status}')
|
||||
|
||||
async def _handle_hello(self, data: dict):
|
||||
"""Handle HELLO signal (signal 1)"""
|
||||
session_id = data.get('session_id', '')
|
||||
self.session_id = session_id
|
||||
await self.logger.info(f'KOOK WebSocket HELLO received, session_id: {session_id}')
|
||||
|
||||
async def _handle_event(self, data: dict, sn: int):
|
||||
"""Handle EVENT signal (signal 0)"""
|
||||
self.current_sn = max(self.current_sn, sn)
|
||||
|
||||
# Check if this is a message event
|
||||
event_type = data.get('type')
|
||||
channel_type = data.get('channel_type')
|
||||
author_id = data.get('author_id')
|
||||
|
||||
# Ignore messages from bot itself to prevent infinite loops
|
||||
if self.bot_account_id and str(author_id) == self.bot_account_id:
|
||||
return
|
||||
|
||||
# Only process text messages (type 1, 2, 4, 8, 9, 10) in GROUP or PERSON channels
|
||||
if event_type in [1, 2, 4, 8, 9, 10] and channel_type in ['GROUP', 'PERSON']:
|
||||
try:
|
||||
# Convert to LangBot event
|
||||
lb_event = await self.event_converter.target2yiri(data, self.bot_account_id)
|
||||
|
||||
# Call registered listener
|
||||
event_class = type(lb_event)
|
||||
if event_class in self.listeners:
|
||||
await self.listeners[event_class](lb_event, self)
|
||||
except Exception as e:
|
||||
await self.logger.error(f'Error handling KOOK event: {e}\n{traceback.format_exc()}')
|
||||
|
||||
async def _handle_pong(self, data: dict):
|
||||
"""Handle PONG signal (signal 3)"""
|
||||
# PONG received, connection is healthy
|
||||
pass
|
||||
|
||||
async def _heartbeat_loop(self):
|
||||
"""Send PING every 30 seconds"""
|
||||
try:
|
||||
while self.running and self.ws:
|
||||
await asyncio.sleep(30)
|
||||
|
||||
if self.ws:
|
||||
try:
|
||||
ping_msg = {
|
||||
's': 2, # PING signal
|
||||
'sn': self.current_sn,
|
||||
}
|
||||
await self.ws.send(json.dumps(ping_msg))
|
||||
except Exception:
|
||||
# Connection closed or send failed, exit loop
|
||||
break
|
||||
except asyncio.CancelledError:
|
||||
pass
|
||||
except Exception as e:
|
||||
await self.logger.error(f'Heartbeat error: {e}')
|
||||
|
||||
async def _websocket_loop(self):
|
||||
"""Main WebSocket event loop"""
|
||||
retry_count = 0
|
||||
max_retries = 3
|
||||
|
||||
while self.running and retry_count < max_retries:
|
||||
try:
|
||||
# Get gateway URL if not already retrieved
|
||||
if not self.gateway_url:
|
||||
self.gateway_url = await self._get_gateway_url()
|
||||
|
||||
# Connect to WebSocket
|
||||
async with websockets.connect(self.gateway_url) as ws:
|
||||
await self.logger.info(f'Connected to KOOK WebSocket: {self.gateway_url}')
|
||||
self.ws = ws
|
||||
|
||||
# Start heartbeat
|
||||
self.heartbeat_task = asyncio.create_task(self._heartbeat_loop())
|
||||
|
||||
# Wait for HELLO within 6 seconds
|
||||
try:
|
||||
hello_msg = await asyncio.wait_for(ws.recv(), timeout=6.0)
|
||||
|
||||
# Handle compressed messages (same as main message loop)
|
||||
if isinstance(hello_msg, bytes):
|
||||
# Decompress if compressed
|
||||
try:
|
||||
hello_msg = zlib.decompress(hello_msg).decode('utf-8')
|
||||
except Exception:
|
||||
# Not compressed or decompression failed
|
||||
hello_msg = hello_msg.decode('utf-8')
|
||||
|
||||
hello_data = json.loads(hello_msg)
|
||||
|
||||
if hello_data.get('s') == 1: # HELLO signal
|
||||
await self._handle_hello(hello_data['d'])
|
||||
else:
|
||||
raise Exception(f'Expected HELLO signal, got signal {hello_data.get("s")}')
|
||||
except asyncio.TimeoutError:
|
||||
raise Exception('Did not receive HELLO within 6 seconds')
|
||||
|
||||
# Reset retry count on successful connection
|
||||
retry_count = 0
|
||||
|
||||
# Main message loop
|
||||
async for message in ws:
|
||||
if isinstance(message, bytes):
|
||||
# Decompress if compressed
|
||||
try:
|
||||
message = zlib.decompress(message).decode('utf-8')
|
||||
except Exception:
|
||||
# Not compressed or decompression failed
|
||||
message = message.decode('utf-8')
|
||||
|
||||
try:
|
||||
msg_data = json.loads(message)
|
||||
signal = msg_data.get('s')
|
||||
|
||||
if signal == 0: # EVENT
|
||||
data = msg_data.get('d', {})
|
||||
sn = msg_data.get('sn', 0)
|
||||
await self._handle_event(data, sn)
|
||||
elif signal == 3: # PONG
|
||||
await self._handle_pong(msg_data.get('d', {}))
|
||||
elif signal == 5: # RECONNECT
|
||||
# await self.logger.info('Received RECONNECT signal')
|
||||
break # Break to reconnect
|
||||
elif signal == 6: # RESUME ACK
|
||||
# await self.logger.info('Resume successful')
|
||||
pass
|
||||
except json.JSONDecodeError:
|
||||
await self.logger.error(f'Failed to parse message: {message}')
|
||||
except Exception as e:
|
||||
await self.logger.error(f'Error processing message: {e}\n{traceback.format_exc()}')
|
||||
|
||||
except websockets.exceptions.ConnectionClosed:
|
||||
await self.logger.warning('KOOK WebSocket connection closed, reconnecting...')
|
||||
retry_count += 1
|
||||
await asyncio.sleep(2**retry_count) # Exponential backoff
|
||||
except Exception as e:
|
||||
await self.logger.error(f'KOOK WebSocket error: {e}\n{traceback.format_exc()}')
|
||||
retry_count += 1
|
||||
await asyncio.sleep(2**retry_count)
|
||||
finally:
|
||||
# Stop heartbeat
|
||||
if self.heartbeat_task:
|
||||
self.heartbeat_task.cancel()
|
||||
try:
|
||||
await self.heartbeat_task
|
||||
except asyncio.CancelledError:
|
||||
pass
|
||||
self.ws = None
|
||||
|
||||
if retry_count >= max_retries:
|
||||
await self.logger.error(f'Failed to connect after {max_retries} retries')
|
||||
|
||||
async def send_message(self, target_type: str, target_id: str, message: platform_message.MessageChain):
|
||||
"""Send a message to a channel or user"""
|
||||
content, msg_type = await self.message_converter.yiri2target(message)
|
||||
|
||||
# Determine endpoint based on target_type
|
||||
if target_type == 'GROUP':
|
||||
# Send to channel
|
||||
url = 'https://www.kookapp.cn/api/v3/message/create'
|
||||
payload = {
|
||||
'target_id': target_id,
|
||||
'content': content,
|
||||
'type': msg_type,
|
||||
}
|
||||
else: # PERSON or default
|
||||
# Send direct message
|
||||
url = 'https://www.kookapp.cn/api/v3/direct-message/create'
|
||||
payload = {
|
||||
'target_id': target_id,
|
||||
'content': content,
|
||||
'type': msg_type,
|
||||
}
|
||||
|
||||
headers = {
|
||||
'Authorization': f'Bot {self.config["token"]}',
|
||||
'Content-Type': 'application/json',
|
||||
}
|
||||
|
||||
try:
|
||||
if not self.http_session:
|
||||
self.http_session = aiohttp.ClientSession()
|
||||
|
||||
async with self.http_session.post(url, json=payload, headers=headers) as response:
|
||||
if response.status == 200:
|
||||
result = await response.json()
|
||||
if result.get('code') == 0:
|
||||
await self.logger.debug(f'Message sent successfully to {target_id}')
|
||||
else:
|
||||
await self.logger.error(f'Failed to send message: {result.get("message")}')
|
||||
else:
|
||||
await self.logger.error(f'Failed to send message: HTTP {response.status}')
|
||||
except Exception as e:
|
||||
await self.logger.error(f'Error sending message: {e}')
|
||||
|
||||
async def reply_message(
|
||||
self,
|
||||
message_source: platform_events.MessageEvent,
|
||||
message: platform_message.MessageChain,
|
||||
quote_origin: bool = False,
|
||||
):
|
||||
"""Reply to a message"""
|
||||
content, msg_type = await self.message_converter.yiri2target(message)
|
||||
|
||||
kook_event = message_source.source_platform_object
|
||||
channel_type = kook_event.get('channel_type')
|
||||
target_id = kook_event.get('target_id')
|
||||
msg_id = kook_event.get('msg_id')
|
||||
|
||||
# Determine endpoint based on channel_type
|
||||
if channel_type == 'GROUP':
|
||||
url = 'https://www.kookapp.cn/api/v3/message/create'
|
||||
payload = {
|
||||
'target_id': target_id,
|
||||
'content': content,
|
||||
'type': msg_type,
|
||||
}
|
||||
else: # PERSON
|
||||
url = 'https://www.kookapp.cn/api/v3/direct-message/create'
|
||||
# For direct messages, we need the chat_code or target_id
|
||||
author_id = kook_event.get('author_id')
|
||||
extra = kook_event.get('extra', {})
|
||||
chat_code = extra.get('code', '')
|
||||
|
||||
payload = {
|
||||
'content': content,
|
||||
'type': msg_type,
|
||||
}
|
||||
|
||||
if chat_code:
|
||||
payload['chat_code'] = chat_code
|
||||
else:
|
||||
payload['target_id'] = str(author_id)
|
||||
|
||||
# Add quote if requested
|
||||
if quote_origin and msg_id:
|
||||
payload['quote'] = msg_id
|
||||
|
||||
payload['reply_msg_id'] = msg_id
|
||||
|
||||
headers = {
|
||||
'Authorization': f'Bot {self.config["token"]}',
|
||||
'Content-Type': 'application/json',
|
||||
}
|
||||
|
||||
try:
|
||||
if not self.http_session:
|
||||
self.http_session = aiohttp.ClientSession()
|
||||
|
||||
async with self.http_session.post(url, json=payload, headers=headers) as response:
|
||||
if response.status == 200:
|
||||
result = await response.json()
|
||||
if result.get('code') == 0:
|
||||
await self.logger.debug('Reply sent successfully')
|
||||
else:
|
||||
await self.logger.error(f'Failed to send reply: {result.get("message")}')
|
||||
else:
|
||||
await self.logger.error(f'Failed to send reply: HTTP {response.status}')
|
||||
except Exception as e:
|
||||
await self.logger.error(f'Error sending reply: {e}')
|
||||
|
||||
async def is_muted(self, group_id: int) -> bool:
|
||||
"""Check if bot is muted in a group (not implemented for KOOK)"""
|
||||
return False
|
||||
|
||||
def register_listener(
|
||||
self,
|
||||
event_type: typing.Type[platform_events.Event],
|
||||
callback: typing.Callable[
|
||||
[platform_events.Event, abstract_platform_adapter.AbstractMessagePlatformAdapter], None
|
||||
],
|
||||
):
|
||||
"""Register an event listener"""
|
||||
self.listeners[event_type] = callback
|
||||
|
||||
def unregister_listener(
|
||||
self,
|
||||
event_type: typing.Type[platform_events.Event],
|
||||
callback: typing.Callable[
|
||||
[platform_events.Event, abstract_platform_adapter.AbstractMessagePlatformAdapter], None
|
||||
],
|
||||
):
|
||||
"""Unregister an event listener"""
|
||||
self.listeners.pop(event_type, None)
|
||||
|
||||
async def run_async(self):
|
||||
"""Start the KOOK adapter"""
|
||||
# Debug: Track run_async
|
||||
with open('/tmp/kook_adapter_run.txt', 'w') as f:
|
||||
f.write(f'KOOK adapter run_async called at {time.time()}\n')
|
||||
|
||||
self.running = True
|
||||
|
||||
try:
|
||||
# Create HTTP session
|
||||
self.http_session = aiohttp.ClientSession()
|
||||
|
||||
await self.logger.info('Starting KOOK adapter')
|
||||
|
||||
# Get bot's user information and set bot_account_id
|
||||
try:
|
||||
bot_info = await self._get_bot_user_info()
|
||||
self.bot_account_id = str(bot_info.get('id', ''))
|
||||
except Exception as e:
|
||||
await self.logger.error(f'Failed to get bot user info: {e}')
|
||||
# Continue anyway, but bot will process its own messages
|
||||
|
||||
# Start WebSocket connection
|
||||
self.ws_task = asyncio.create_task(self._websocket_loop())
|
||||
|
||||
# Keep running
|
||||
await self.ws_task
|
||||
except Exception as e:
|
||||
await self.logger.error(f'KOOK adapter error: {e}\n{traceback.format_exc()}')
|
||||
finally:
|
||||
self.running = False
|
||||
|
||||
async def kill(self) -> bool:
|
||||
"""Stop the KOOK adapter"""
|
||||
self.running = False
|
||||
|
||||
# Cancel tasks
|
||||
if self.heartbeat_task:
|
||||
self.heartbeat_task.cancel()
|
||||
try:
|
||||
await self.heartbeat_task
|
||||
except asyncio.CancelledError:
|
||||
pass
|
||||
|
||||
if self.ws_task:
|
||||
self.ws_task.cancel()
|
||||
try:
|
||||
await self.ws_task
|
||||
except asyncio.CancelledError:
|
||||
pass
|
||||
|
||||
# Close WebSocket
|
||||
if self.ws:
|
||||
try:
|
||||
await self.ws.close()
|
||||
except Exception:
|
||||
pass # Already closed or error during close
|
||||
|
||||
# Close HTTP session
|
||||
if self.http_session:
|
||||
await self.http_session.close()
|
||||
|
||||
await self.logger.info('KOOK adapter stopped')
|
||||
return True
|
||||
@@ -1,24 +0,0 @@
|
||||
apiVersion: v1
|
||||
kind: MessagePlatformAdapter
|
||||
metadata:
|
||||
name: kook
|
||||
label:
|
||||
en_US: KOOK
|
||||
zh_Hans: KOOK
|
||||
description:
|
||||
en_US: KOOK Adapter (formerly KaiHeiLa)
|
||||
zh_Hans: KOOK 适配器(原开黑啦)，支持频道消息和私聊消息
|
||||
icon: kook.png
|
||||
spec:
|
||||
config:
|
||||
- name: token
|
||||
label:
|
||||
en_US: Bot Token
|
||||
zh_Hans: 机器人令牌
|
||||
type: string
|
||||
required: true
|
||||
default: ""
|
||||
execution:
|
||||
python:
|
||||
path: ./kook.py
|
||||
attr: KookAdapter
|
||||
@@ -9,13 +9,9 @@ import re
|
||||
import base64
|
||||
import uuid
|
||||
import json
|
||||
import time
|
||||
import datetime
|
||||
import hashlib
|
||||
from Crypto.Cipher import AES
|
||||
import tempfile
|
||||
import os
|
||||
import mimetypes
|
||||
|
||||
import aiohttp
|
||||
import lark_oapi.ws.exception
|
||||
@@ -23,8 +19,6 @@ import quart
|
||||
from lark_oapi.api.im.v1 import *
|
||||
import pydantic
|
||||
from lark_oapi.api.cardkit.v1 import *
|
||||
from lark_oapi.api.auth.v3 import *
|
||||
from lark_oapi.core.model import *
|
||||
|
||||
import langbot_plugin.api.definition.abstract.platform.adapter as abstract_platform_adapter
|
||||
import langbot_plugin.api.entities.builtin.platform.message as platform_message
|
||||
@@ -60,176 +54,122 @@ class AESCipher(object):
|
||||
|
||||
|
||||
class LarkMessageConverter(abstract_platform_adapter.AbstractMessageConverter):
|
||||
@staticmethod
|
||||
async def upload_image_to_lark(msg: platform_message.Image, api_client: lark_oapi.Client) -> typing.Optional[str]:
|
||||
"""Upload an image to Lark and return the image_key, or None if upload fails."""
|
||||
image_bytes = None
|
||||
|
||||
if msg.base64:
|
||||
try:
|
||||
# Remove data URL prefix if present
|
||||
base64_data = msg.base64
|
||||
if base64_data.startswith('data:'):
|
||||
base64_data = base64_data.split(',', 1)[1]
|
||||
image_bytes = base64.b64decode(base64_data)
|
||||
except Exception as e:
|
||||
print(f'Failed to decode base64 image: {e}')
|
||||
traceback.print_exc()
|
||||
return None
|
||||
elif msg.url:
|
||||
try:
|
||||
async with aiohttp.ClientSession() as session:
|
||||
async with session.get(msg.url) as response:
|
||||
if response.status == 200:
|
||||
image_bytes = await response.read()
|
||||
else:
|
||||
print(f'Failed to download image from {msg.url}: HTTP {response.status}')
|
||||
return None
|
||||
except Exception as e:
|
||||
print(f'Failed to download image from {msg.url}: {e}')
|
||||
traceback.print_exc()
|
||||
return None
|
||||
elif msg.path:
|
||||
try:
|
||||
with open(msg.path, 'rb') as f:
|
||||
image_bytes = f.read()
|
||||
except Exception as e:
|
||||
print(f'Failed to read image from path {msg.path}: {e}')
|
||||
traceback.print_exc()
|
||||
return None
|
||||
|
||||
if image_bytes is None:
|
||||
print(
|
||||
f'No image data available for Image message (url={msg.url}, base64={bool(msg.base64)}, path={msg.path})'
|
||||
)
|
||||
return None
|
||||
|
||||
try:
|
||||
# Create a temporary file to store the image bytes
|
||||
import tempfile
|
||||
import os
|
||||
|
||||
with tempfile.NamedTemporaryFile(delete=False) as temp_file:
|
||||
temp_file.write(image_bytes)
|
||||
temp_file.flush()
|
||||
temp_file_path = temp_file.name
|
||||
|
||||
try:
|
||||
# Create image request using the temporary file
|
||||
request = (
|
||||
CreateImageRequest.builder()
|
||||
.request_body(
|
||||
CreateImageRequestBody.builder().image_type('message').image(open(temp_file_path, 'rb')).build()
|
||||
)
|
||||
.build()
|
||||
)
|
||||
|
||||
response = await api_client.im.v1.image.acreate(request)
|
||||
|
||||
if not response.success():
|
||||
print(
|
||||
f'client.im.v1.image.create failed, code: {response.code}, msg: {response.msg}, log_id: {response.get_log_id()}'
|
||||
)
|
||||
return None
|
||||
|
||||
return response.data.image_key
|
||||
finally:
|
||||
# Clean up the temporary file
|
||||
os.unlink(temp_file_path)
|
||||
except Exception as e:
|
||||
print(f'Failed to upload image to Lark: {e}')
|
||||
traceback.print_exc()
|
||||
return None
|
||||
|
||||
@staticmethod
|
||||
async def yiri2target(
|
||||
message_chain: platform_message.MessageChain, api_client: lark_oapi.Client
|
||||
) -> typing.Tuple[list, list]:
|
||||
"""Convert message chain to Lark format.
|
||||
|
||||
Returns:
|
||||
Tuple of (text_elements, image_keys):
|
||||
- text_elements: List of paragraphs for post message format
|
||||
- image_keys: List of image_key strings for separate image messages
|
||||
"""
|
||||
) -> typing.Tuple[list]:
|
||||
message_elements = []
|
||||
image_keys = []
|
||||
pending_paragraph = []
|
||||
|
||||
# Regex pattern to match Markdown image syntax: 
|
||||
markdown_image_pattern = re.compile(r'!\[([^\]]*)\]\(([^)]+)\)')
|
||||
|
||||
async def process_text_with_images(text: str) -> typing.Tuple[str, list]:
|
||||
"""Extract Markdown images from text and return cleaned text + image URLs."""
|
||||
extracted_urls = []
|
||||
|
||||
# Find all Markdown images
|
||||
matches = list(markdown_image_pattern.finditer(text))
|
||||
if not matches:
|
||||
return text, []
|
||||
|
||||
# Extract URLs and remove image syntax from text
|
||||
cleaned_text = text
|
||||
for match in reversed(matches): # Reverse to maintain correct positions
|
||||
url = match.group(2)
|
||||
extracted_urls.insert(0, url) # Insert at beginning since we're going in reverse
|
||||
# Replace image syntax with empty string or a placeholder
|
||||
cleaned_text = cleaned_text[: match.start()] + cleaned_text[match.end() :]
|
||||
|
||||
# Clean up multiple consecutive newlines that might result from removing images
|
||||
cleaned_text = re.sub(r'\n{3,}', '\n\n', cleaned_text)
|
||||
cleaned_text = cleaned_text.strip()
|
||||
|
||||
return cleaned_text, extracted_urls
|
||||
|
||||
for msg in message_chain:
|
||||
if isinstance(msg, platform_message.Plain):
|
||||
# Ensure text is valid UTF-8
|
||||
try:
|
||||
text = msg.text.encode('utf-8').decode('utf-8')
|
||||
pending_paragraph.append({'tag': 'md', 'text': text})
|
||||
except UnicodeError:
|
||||
# If text is not valid UTF-8, try to decode with other encodings
|
||||
try:
|
||||
text = msg.text.encode('latin1').decode('utf-8')
|
||||
pending_paragraph.append({'tag': 'md', 'text': text})
|
||||
except UnicodeError:
|
||||
# If still fails, replace invalid characters
|
||||
text = msg.text.encode('utf-8', errors='replace').decode('utf-8')
|
||||
|
||||
# Check for and extract Markdown images from text
|
||||
cleaned_text, extracted_urls = await process_text_with_images(text)
|
||||
|
||||
# Add cleaned text if not empty
|
||||
if cleaned_text:
|
||||
pending_paragraph.append({'tag': 'md', 'text': cleaned_text})
|
||||
|
||||
# Process extracted image URLs
|
||||
for url in extracted_urls:
|
||||
# Create a temporary Image message to upload
|
||||
temp_image = platform_message.Image(url=url)
|
||||
image_key = await LarkMessageConverter.upload_image_to_lark(temp_image, api_client)
|
||||
if image_key:
|
||||
image_keys.append(image_key)
|
||||
|
||||
pending_paragraph.append({'tag': 'md', 'text': text})
|
||||
elif isinstance(msg, platform_message.At):
|
||||
pending_paragraph.append({'tag': 'at', 'user_id': msg.target, 'style': []})
|
||||
elif isinstance(msg, platform_message.AtAll):
|
||||
pending_paragraph.append({'tag': 'at', 'user_id': 'all', 'style': []})
|
||||
elif isinstance(msg, platform_message.Image):
|
||||
# Upload image and get image_key
|
||||
image_key = await LarkMessageConverter.upload_image_to_lark(msg, api_client)
|
||||
if image_key:
|
||||
# Store image_key for separate image message
|
||||
image_keys.append(image_key)
|
||||
image_bytes = None
|
||||
|
||||
if msg.base64:
|
||||
try:
|
||||
# Remove data URL prefix if present
|
||||
if msg.base64.startswith('data:'):
|
||||
msg.base64 = msg.base64.split(',', 1)[1]
|
||||
image_bytes = base64.b64decode(msg.base64)
|
||||
except Exception:
|
||||
traceback.print_exc()
|
||||
continue
|
||||
elif msg.url:
|
||||
try:
|
||||
async with aiohttp.ClientSession() as session:
|
||||
async with session.get(msg.url) as response:
|
||||
if response.status == 200:
|
||||
image_bytes = await response.read()
|
||||
else:
|
||||
traceback.print_exc()
|
||||
continue
|
||||
except Exception:
|
||||
traceback.print_exc()
|
||||
continue
|
||||
elif msg.path:
|
||||
try:
|
||||
with open(msg.path, 'rb') as f:
|
||||
image_bytes = f.read()
|
||||
except Exception:
|
||||
traceback.print_exc()
|
||||
continue
|
||||
|
||||
if image_bytes is None:
|
||||
continue
|
||||
|
||||
try:
|
||||
# Create a temporary file to store the image bytes
|
||||
import tempfile
|
||||
|
||||
with tempfile.NamedTemporaryFile(delete=False) as temp_file:
|
||||
temp_file.write(image_bytes)
|
||||
temp_file.flush()
|
||||
|
||||
# Create image request using the temporary file
|
||||
request = (
|
||||
CreateImageRequest.builder()
|
||||
.request_body(
|
||||
CreateImageRequestBody.builder()
|
||||
.image_type('message')
|
||||
.image(open(temp_file.name, 'rb'))
|
||||
.build()
|
||||
)
|
||||
.build()
|
||||
)
|
||||
|
||||
response = await api_client.im.v1.image.acreate(request)
|
||||
|
||||
if not response.success():
|
||||
raise Exception(
|
||||
f'client.im.v1.image.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)}'
|
||||
)
|
||||
|
||||
image_key = response.data.image_key
|
||||
|
||||
message_elements.append(pending_paragraph)
|
||||
message_elements.append(
|
||||
[
|
||||
{
|
||||
'tag': 'img',
|
||||
'image_key': image_key,
|
||||
}
|
||||
]
|
||||
)
|
||||
pending_paragraph = []
|
||||
except Exception:
|
||||
traceback.print_exc()
|
||||
continue
|
||||
finally:
|
||||
# Clean up the temporary file
|
||||
import os
|
||||
|
||||
if 'temp_file' in locals():
|
||||
os.unlink(temp_file.name)
|
||||
elif isinstance(msg, platform_message.Forward):
|
||||
for node in msg.node_list:
|
||||
sub_elements, sub_image_keys = await LarkMessageConverter.yiri2target(
|
||||
node.message_chain, api_client
|
||||
)
|
||||
message_elements.extend(sub_elements)
|
||||
image_keys.extend(sub_image_keys)
|
||||
message_elements.extend(await LarkMessageConverter.yiri2target(node.message_chain, api_client))
|
||||
|
||||
if pending_paragraph:
|
||||
message_elements.append(pending_paragraph)
|
||||
|
||||
return message_elements, image_keys
|
||||
return message_elements
|
||||
|
||||
@staticmethod
|
||||
async def target2yiri(
|
||||
@@ -244,7 +184,6 @@ class LarkMessageConverter(abstract_platform_adapter.AbstractMessageConverter):
|
||||
|
||||
lb_msg_list.append(platform_message.Source(id=message.message_id, time=msg_create_time))
|
||||
|
||||
|
||||
if message.message_type == 'text':
|
||||
element_list = []
|
||||
|
||||
@@ -304,14 +243,6 @@ class LarkMessageConverter(abstract_platform_adapter.AbstractMessageConverter):
|
||||
message_content['content'] = new_list
|
||||
elif message.message_type == 'image':
|
||||
message_content['content'] = [{'tag': 'img', 'image_key': message_content['image_key'], 'style': []}]
|
||||
elif message.message_type == 'file':
|
||||
message_content['content'] = [
|
||||
{'tag': 'file', 'file_key': message_content['file_key'], 'file_name': message_content['file_name']}
|
||||
]
|
||||
elif message.message_type == 'audio':
|
||||
message_content['content'] = [
|
||||
{'tag': 'audio', 'file_key': message_content['file_key'], "duration": message_content.get('duration',0)}
|
||||
]
|
||||
|
||||
for ele in message_content['content']:
|
||||
if ele['tag'] == 'text':
|
||||
@@ -342,117 +273,6 @@ class LarkMessageConverter(abstract_platform_adapter.AbstractMessageConverter):
|
||||
image_format = response.raw.headers['content-type']
|
||||
|
||||
lb_msg_list.append(platform_message.Image(base64=f'data:{image_format};base64,{image_base64}'))
|
||||
elif ele['tag'] == 'audio':
|
||||
file_key = ele['file_key']
|
||||
duration = ele['duration']
|
||||
|
||||
# Download audio file
|
||||
request: GetMessageResourceRequest = (
|
||||
GetMessageResourceRequest.builder()
|
||||
.message_id(message.message_id)
|
||||
.file_key(file_key)
|
||||
.type('file')
|
||||
.build()
|
||||
)
|
||||
|
||||
try:
|
||||
response: GetMessageResourceResponse = await api_client.im.v1.message_resource.aget(request)
|
||||
|
||||
if not response.success():
|
||||
print(f'Failed to download audio: code: {response.code}, msg: {response.msg}')
|
||||
lb_msg_list.append(platform_message.Plain(text='[Audio file download failed]'))
|
||||
return platform_message.MessageChain(lb_msg_list)
|
||||
|
||||
# Read audio bytes
|
||||
audio_bytes = response.file.read()
|
||||
audio_base64 = base64.b64encode(audio_bytes).decode()
|
||||
|
||||
|
||||
# Get content type from response headers
|
||||
content_type = response.raw.headers.get('content-type', 'audio/mpeg')
|
||||
|
||||
|
||||
|
||||
mime_main = content_type.split(';')[0].strip()
|
||||
ext = mimetypes.guess_extension(mime_main) or '.bin'
|
||||
temp_dir = tempfile.gettempdir()
|
||||
temp_file_path = os.path.join(temp_dir, f'lark_audio_{file_key}{ext}')
|
||||
|
||||
with open(temp_file_path, 'wb') as f:
|
||||
f.write(audio_bytes)
|
||||
|
||||
# Create Voice message: prefer path/url + length, include base64 as optional data URI
|
||||
lb_msg_list.append(
|
||||
platform_message.Voice(
|
||||
voice_id=file_key,
|
||||
url=f'file://{temp_file_path}',
|
||||
path=temp_file_path,
|
||||
base64=f'data:{content_type};base64,{audio_base64}',
|
||||
length=(duration // 1000) if duration else None,
|
||||
)
|
||||
)
|
||||
except Exception as e:
|
||||
print(f'Error downloading audio: {e}')
|
||||
traceback.print_exc()
|
||||
lb_msg_list.append(platform_message.Plain(text='[Audio file download error]'))
|
||||
|
||||
elif ele['tag'] == 'file':
|
||||
file_key = ele['file_key']
|
||||
file_name = ele['file_name']
|
||||
|
||||
request: GetMessageResourceRequest = (
|
||||
GetMessageResourceRequest.builder()
|
||||
.message_id(message.message_id)
|
||||
.file_key(file_key)
|
||||
.type('file')
|
||||
.build()
|
||||
)
|
||||
|
||||
response: GetMessageResourceResponse = await api_client.im.v1.message_resource.aget(request)
|
||||
|
||||
if not response.success():
|
||||
raise Exception(
|
||||
f'client.im.v1.message_resource.get 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)}'
|
||||
)
|
||||
|
||||
file_bytes = response.file.read()
|
||||
file_base64 = base64.b64encode(file_bytes).decode()
|
||||
|
||||
|
||||
file_format = response.raw.headers['content-type']
|
||||
|
||||
file_size = len(file_bytes)
|
||||
|
||||
# Determine extension from content-type if possible
|
||||
content_type = response.raw.headers.get('content-type', '')
|
||||
mime_main = content_type.split(';')[0].strip() if content_type else ''
|
||||
ext = mimetypes.guess_extension(mime_main) or ''
|
||||
|
||||
# Ensure a safe filename (avoid path components)
|
||||
safe_name = os.path.basename(file_name).replace('/', '_').replace('\\', '_')
|
||||
if ext and not safe_name.lower().endswith(ext.lower()):
|
||||
filename_with_ext = f'{safe_name}{ext}'
|
||||
else:
|
||||
filename_with_ext = safe_name
|
||||
|
||||
temp_dir = tempfile.gettempdir()
|
||||
temp_file_path = os.path.join(temp_dir, f'lark_{file_key}_{filename_with_ext}')
|
||||
|
||||
with open(temp_file_path, 'wb') as f:
|
||||
f.write(file_bytes)
|
||||
|
||||
# Create File message with local path and file:// URL
|
||||
lb_msg_list.append(
|
||||
platform_message.File(
|
||||
id=file_key,
|
||||
name=file_name,
|
||||
size=file_size,
|
||||
url=f'file://{temp_file_path}',
|
||||
path=temp_file_path,
|
||||
base64=f'data:{file_format};base64,{file_base64}', # not including base64 by default to save memory; can be added if needed
|
||||
)
|
||||
)
|
||||
|
||||
|
||||
return platform_message.MessageChain(lb_msg_list)
|
||||
|
||||
@@ -479,7 +299,6 @@ class LarkEventConverter(abstract_platform_adapter.AbstractEventConverter):
|
||||
),
|
||||
message_chain=message_chain,
|
||||
time=event.event.message.create_time,
|
||||
source_platform_object=event,
|
||||
)
|
||||
elif event.event.message.chat_type == 'group':
|
||||
return platform_events.GroupMessage(
|
||||
@@ -493,10 +312,12 @@ class LarkEventConverter(abstract_platform_adapter.AbstractEventConverter):
|
||||
permission=platform_entities.Permission.Member,
|
||||
),
|
||||
special_title='',
|
||||
join_timestamp=0,
|
||||
last_speak_timestamp=0,
|
||||
mute_time_remaining=0,
|
||||
),
|
||||
message_chain=message_chain,
|
||||
time=event.event.message.create_time,
|
||||
source_platform_object=event,
|
||||
)
|
||||
|
||||
|
||||
@@ -513,7 +334,6 @@ class LarkAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
|
||||
|
||||
message_converter: LarkMessageConverter = LarkMessageConverter()
|
||||
event_converter: LarkEventConverter = LarkEventConverter()
|
||||
cipher: AESCipher
|
||||
|
||||
listeners: typing.Dict[
|
||||
typing.Type[platform_events.Event],
|
||||
@@ -525,15 +345,51 @@ class LarkAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
|
||||
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
|
||||
bot_uuid: str = None # 机器人UUID
|
||||
app_ticket: str = None # 商店应用用到
|
||||
app_access_token: str = None # 商店应用用到
|
||||
app_access_token_expire_at: int = None
|
||||
tenant_access_tokens: dict[str, dict[str, str]] = {} # 租户access_token映射
|
||||
|
||||
def __init__(self, config: dict, logger: abstract_platform_logger.AbstractEventLogger, **kwargs):
|
||||
quart_app = quart.Quart(__name__)
|
||||
|
||||
@quart_app.route('/lark/callback', methods=['POST'])
|
||||
async def lark_callback():
|
||||
try:
|
||||
data = await quart.request.json
|
||||
|
||||
if 'encrypt' in data:
|
||||
cipher = AESCipher(config['encrypt-key'])
|
||||
data = cipher.decrypt_string(data['encrypt'])
|
||||
data = json.loads(data)
|
||||
|
||||
type = data.get('type')
|
||||
if type is None:
|
||||
context = EventContext(data)
|
||||
type = context.header.event_type
|
||||
|
||||
if 'url_verification' == type:
|
||||
# todo 验证verification token
|
||||
return {'challenge': data.get('challenge')}
|
||||
context = EventContext(data)
|
||||
type = context.header.event_type
|
||||
p2v1 = P2ImMessageReceiveV1()
|
||||
p2v1.header = context.header
|
||||
event = P2ImMessageReceiveV1Data()
|
||||
event.message = EventMessage(context.event['message'])
|
||||
event.sender = EventSender(context.event['sender'])
|
||||
p2v1.event = event
|
||||
p2v1.schema = context.schema
|
||||
if 'im.message.receive_v1' == type:
|
||||
try:
|
||||
event = await self.event_converter.target2yiri(p2v1, self.api_client)
|
||||
except Exception:
|
||||
await self.logger.error(f'Error in lark callback: {traceback.format_exc()}')
|
||||
|
||||
if event.__class__ in self.listeners:
|
||||
await self.listeners[event.__class__](event, self)
|
||||
|
||||
return {'code': 200, 'message': 'ok'}
|
||||
except Exception:
|
||||
await self.logger.error(f'Error in lark callback: {traceback.format_exc()}')
|
||||
return {'code': 500, 'message': 'error'}
|
||||
|
||||
async def on_message(event: lark_oapi.im.v1.P2ImMessageReceiveV1):
|
||||
lb_event = await self.event_converter.target2yiri(event, self.api_client)
|
||||
|
||||
@@ -549,9 +405,7 @@ class LarkAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
|
||||
bot_account_id = config['bot_name']
|
||||
|
||||
bot = lark_oapi.ws.Client(config['app_id'], config['app_secret'], event_handler=event_handler)
|
||||
api_client = self.build_api_client(config)
|
||||
cipher = AESCipher(config.get('encrypt-key', ''))
|
||||
self.request_app_ticket(api_client, config)
|
||||
api_client = lark_oapi.Client.builder().app_id(config['app_id']).app_secret(config['app_secret']).build()
|
||||
|
||||
super().__init__(
|
||||
config=config,
|
||||
@@ -564,105 +418,9 @@ class LarkAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
|
||||
bot=bot,
|
||||
api_client=api_client,
|
||||
bot_account_id=bot_account_id,
|
||||
cipher=cipher,
|
||||
**kwargs,
|
||||
)
|
||||
|
||||
def request_app_ticket(self, api_client, config):
|
||||
app_id = config['app_id']
|
||||
app_secret = config['app_secret']
|
||||
print(f'Requesting app ticket for app_id: {app_id[:3]}***{app_id[-3:]}')
|
||||
if 'isv' == config.get('app_type', 'self'):
|
||||
request: ResendAppTicketRequest = (
|
||||
ResendAppTicketRequest.builder()
|
||||
.request_body(ResendAppTicketRequestBody.builder().app_id(app_id).app_secret(app_secret).build())
|
||||
.build()
|
||||
)
|
||||
response: ResendAppTicketResponse = api_client.auth.v3.app_ticket.resend(request)
|
||||
if not response.success():
|
||||
raise Exception(
|
||||
f'client.auth.v3.auth.app_ticket_resend 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)}'
|
||||
)
|
||||
|
||||
def request_app_access_token(self):
|
||||
app_id = self.config['app_id']
|
||||
app_secret = self.config['app_secret']
|
||||
if 'isv' == self.config.get('app_type', 'self'):
|
||||
request: CreateAppAccessTokenRequest = (
|
||||
CreateAppAccessTokenRequest.builder()
|
||||
.request_body(
|
||||
CreateAppAccessTokenRequestBody.builder()
|
||||
.app_id(app_id)
|
||||
.app_secret(app_secret)
|
||||
.app_ticket(self.app_ticket)
|
||||
.build()
|
||||
)
|
||||
.build()
|
||||
)
|
||||
response: CreateAppAccessTokenResponse = self.api_client.auth.v3.app_access_token.create(request)
|
||||
if not response.success():
|
||||
raise Exception(
|
||||
f'client.auth.v3.auth.app_access_token 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)}'
|
||||
)
|
||||
content = json.loads(response.raw.content)
|
||||
self.app_access_token = content['app_access_token']
|
||||
self.app_access_token_expire_at = int(time.time()) + content['expire'] - 300
|
||||
|
||||
def get_app_access_token(self):
|
||||
if 'isv' != self.config.get('app_type', 'self'):
|
||||
return None
|
||||
if (
|
||||
self.app_access_token is None
|
||||
or self.app_access_token_expire_at is None
|
||||
or int(time.time()) >= self.app_access_token_expire_at
|
||||
):
|
||||
self.request_app_access_token()
|
||||
return self.app_access_token
|
||||
|
||||
def request_tenant_access_token(self, tenant_key: str):
|
||||
app_access_token = self.get_app_access_token()
|
||||
if 'isv' == self.config.get('app_type', 'self'):
|
||||
request: CreateTenantAccessTokenRequest = (
|
||||
CreateTenantAccessTokenRequest.builder()
|
||||
.request_body(
|
||||
CreateTenantAccessTokenRequestBody.builder()
|
||||
.app_access_token(app_access_token)
|
||||
.tenant_key(tenant_key)
|
||||
.build()
|
||||
)
|
||||
.build()
|
||||
)
|
||||
response: CreateTenantAccessTokenResponse = self.api_client.auth.v3.tenant_access_token.create(request)
|
||||
if not response.success():
|
||||
raise Exception(
|
||||
f'client.auth.v3.auth.tenant_access_token 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)}'
|
||||
)
|
||||
content = json.loads(response.raw.content)
|
||||
tenant_access_token = content['tenant_access_token']
|
||||
expire = content['expire']
|
||||
self.tenant_access_tokens[tenant_key] = {
|
||||
'token': tenant_access_token,
|
||||
'expire_at': int(time.time()) + expire - 300,
|
||||
}
|
||||
|
||||
def get_tenant_access_token(self, tenant_key: str):
|
||||
if tenant_key is None or 'isv' != self.config.get('app_type', 'self'):
|
||||
return None
|
||||
tenant_access_token = self.tenant_access_tokens.get(tenant_key)
|
||||
if tenant_access_token is None or int(time.time()) >= tenant_access_token['expire_at']:
|
||||
self.request_tenant_access_token(tenant_key)
|
||||
return self.tenant_access_tokens.get(tenant_key)['token'] if self.tenant_access_tokens.get(tenant_key) else None
|
||||
|
||||
def build_api_client(self, config):
|
||||
app_id = config['app_id']
|
||||
app_secret = config['app_secret']
|
||||
api_client = lark_oapi.Client.builder().app_id(app_id).app_secret(app_secret).build()
|
||||
if 'isv' == config.get('app_type', 'self'):
|
||||
api_client = (
|
||||
lark_oapi.Client.builder().app_id(app_id).app_secret(app_secret).app_type(lark_oapi.AppType.ISV).build()
|
||||
)
|
||||
return api_client
|
||||
|
||||
async def send_message(self, target_type: str, target_id: str, message: platform_message.MessageChain):
|
||||
pass
|
||||
|
||||
@@ -890,19 +648,9 @@ class LarkAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
|
||||
)
|
||||
.build()
|
||||
)
|
||||
tenant_key = event.source_platform_object.header.tenant_key if event.source_platform_object else None
|
||||
app_access_token = self.get_app_access_token()
|
||||
tenant_access_token = self.get_tenant_access_token(tenant_key)
|
||||
req_opt: RequestOption = (
|
||||
RequestOption.builder()
|
||||
.app_ticket(self.app_ticket)
|
||||
.tenant_key(tenant_key)
|
||||
.app_access_token(app_access_token)
|
||||
.tenant_access_token(tenant_access_token)
|
||||
.build()
|
||||
)
|
||||
|
||||
# 发起请求
|
||||
response: ReplyMessageResponse = await self.api_client.im.v1.message.areply(request, req_opt)
|
||||
response: ReplyMessageResponse = await self.api_client.im.v1.message.areply(request)
|
||||
|
||||
# 处理失败返回
|
||||
if not response.success():
|
||||
@@ -919,91 +667,35 @@ class LarkAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
|
||||
):
|
||||
# 不再需要了，因为message_id已经被包含到message_chain中
|
||||
# lark_event = await self.event_converter.yiri2target(message_source)
|
||||
text_elements, image_keys = await self.message_converter.yiri2target(message, self.api_client)
|
||||
lark_message = await self.message_converter.yiri2target(message, self.api_client)
|
||||
|
||||
# Send text message if there are text elements
|
||||
if text_elements:
|
||||
final_content = {
|
||||
'zh_Hans': {
|
||||
'title': '',
|
||||
'content': text_elements,
|
||||
},
|
||||
}
|
||||
request: ReplyMessageRequest = (
|
||||
ReplyMessageRequest.builder()
|
||||
.message_id(message_source.message_chain.message_id)
|
||||
.request_body(
|
||||
ReplyMessageRequestBody.builder()
|
||||
.content(json.dumps(final_content))
|
||||
.msg_type('post')
|
||||
.reply_in_thread(False)
|
||||
.uuid(str(uuid.uuid4()))
|
||||
.build()
|
||||
)
|
||||
final_content = {
|
||||
'zh_Hans': {
|
||||
'title': '',
|
||||
'content': lark_message,
|
||||
},
|
||||
}
|
||||
|
||||
request: ReplyMessageRequest = (
|
||||
ReplyMessageRequest.builder()
|
||||
.message_id(message_source.message_chain.message_id)
|
||||
.request_body(
|
||||
ReplyMessageRequestBody.builder()
|
||||
.content(json.dumps(final_content))
|
||||
.msg_type('post')
|
||||
.reply_in_thread(False)
|
||||
.uuid(str(uuid.uuid4()))
|
||||
.build()
|
||||
)
|
||||
.build()
|
||||
)
|
||||
|
||||
tenant_key = (
|
||||
message_source.source_platform_object.header.tenant_key
|
||||
if message_source.source_platform_object
|
||||
else None
|
||||
response: ReplyMessageResponse = await self.api_client.im.v1.message.areply(request)
|
||||
|
||||
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)}'
|
||||
)
|
||||
app_access_token = self.get_app_access_token()
|
||||
tenant_access_token = self.get_tenant_access_token(tenant_key)
|
||||
req_opt: RequestOption = (
|
||||
RequestOption.builder()
|
||||
.app_ticket(self.app_ticket)
|
||||
.tenant_key(tenant_key)
|
||||
.app_access_token(app_access_token)
|
||||
.tenant_access_token(tenant_access_token)
|
||||
.build()
|
||||
)
|
||||
response: ReplyMessageResponse = await self.api_client.im.v1.message.areply(request, req_opt)
|
||||
|
||||
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)}'
|
||||
)
|
||||
|
||||
# Send image messages separately using msg_type='image'
|
||||
for image_key in image_keys:
|
||||
image_content = json.dumps({'image_key': image_key})
|
||||
|
||||
request: ReplyMessageRequest = (
|
||||
ReplyMessageRequest.builder()
|
||||
.message_id(message_source.message_chain.message_id)
|
||||
.request_body(
|
||||
ReplyMessageRequestBody.builder()
|
||||
.content(image_content)
|
||||
.msg_type('image')
|
||||
.reply_in_thread(False)
|
||||
.uuid(str(uuid.uuid4()))
|
||||
.build()
|
||||
)
|
||||
.build()
|
||||
)
|
||||
|
||||
tenant_key = (
|
||||
message_source.source_platform_object.header.tenant_key
|
||||
if message_source.source_platform_object
|
||||
else None
|
||||
)
|
||||
app_access_token = self.get_app_access_token()
|
||||
tenant_access_token = self.get_tenant_access_token(tenant_key)
|
||||
req_opt: RequestOption = (
|
||||
RequestOption.builder()
|
||||
.app_ticket(self.app_ticket)
|
||||
.tenant_key(tenant_key)
|
||||
.app_access_token(app_access_token)
|
||||
.tenant_access_token(tenant_access_token)
|
||||
.build()
|
||||
)
|
||||
response: ReplyMessageResponse = await self.api_client.im.v1.message.areply(request, req_opt)
|
||||
|
||||
if not response.success():
|
||||
raise Exception(
|
||||
f'client.im.v1.message.reply (image) 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,
|
||||
@@ -1020,15 +712,14 @@ class LarkAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
|
||||
message_id = bot_message.resp_message_id
|
||||
msg_seq = bot_message.msg_sequence
|
||||
if msg_seq % 8 == 0 or is_final:
|
||||
text_elements, image_keys = await self.message_converter.yiri2target(message, self.api_client)
|
||||
lark_message = await self.message_converter.yiri2target(message, self.api_client)
|
||||
|
||||
text_message = ''
|
||||
if text_elements:
|
||||
for ele in text_elements[0]:
|
||||
if ele['tag'] == 'text':
|
||||
text_message += ele['text']
|
||||
elif ele['tag'] == 'md':
|
||||
text_message += ele['text']
|
||||
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',
|
||||
@@ -1052,24 +743,8 @@ class LarkAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
|
||||
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
|
||||
|
||||
tenant_key = (
|
||||
message_source.source_platform_object.header.tenant_key
|
||||
if message_source.source_platform_object
|
||||
else None
|
||||
)
|
||||
app_access_token = self.get_app_access_token()
|
||||
tenant_access_token = self.get_tenant_access_token(tenant_key)
|
||||
req_opt: RequestOption = (
|
||||
RequestOption.builder()
|
||||
.app_ticket(self.app_ticket)
|
||||
.tenant_key(tenant_key)
|
||||
.app_access_token(app_access_token)
|
||||
.tenant_access_token(tenant_access_token)
|
||||
.build()
|
||||
)
|
||||
# 发起请求
|
||||
response: ContentCardElementResponse = self.api_client.cardkit.v1.card_element.content(request, req_opt)
|
||||
response: ContentCardElementResponse = self.api_client.cardkit.v1.card_element.content(request)
|
||||
|
||||
# 处理失败返回
|
||||
if not response.success():
|
||||
@@ -1099,110 +774,8 @@ class LarkAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
|
||||
):
|
||||
self.listeners.pop(event_type)
|
||||
|
||||
def set_bot_uuid(self, bot_uuid: str):
|
||||
"""设置 bot UUID（用于生成 webhook URL）"""
|
||||
self.bot_uuid = bot_uuid
|
||||
|
||||
def get_event_type(self, data):
|
||||
schema = '1.0'
|
||||
if 'schema' in data:
|
||||
schema = data['schema']
|
||||
if '2.0' == schema:
|
||||
return data['header']['event_type']
|
||||
elif 'event' in data:
|
||||
return data['event']['type']
|
||||
else:
|
||||
return data['type']
|
||||
|
||||
async def handle_unified_webhook(self, bot_uuid: str, path: str, request):
|
||||
"""处理统一 webhook 请求。
|
||||
Args:
|
||||
bot_uuid: Bot 的 UUID
|
||||
path: 子路径（如果有的话）
|
||||
request: Quart Request 对象
|
||||
Returns:
|
||||
响应数据
|
||||
"""
|
||||
try:
|
||||
data = await request.json
|
||||
|
||||
if 'encrypt' in data:
|
||||
data = self.cipher.decrypt_string(data['encrypt'])
|
||||
data = json.loads(data)
|
||||
type = self.get_event_type(data)
|
||||
context = EventContext(data)
|
||||
if 'url_verification' == type:
|
||||
# todo 验证verification token
|
||||
return {'challenge': data.get('challenge')}
|
||||
elif 'app_ticket' == type:
|
||||
self.app_ticket = context.event['app_ticket']
|
||||
elif 'im.message.receive_v1' == type:
|
||||
try:
|
||||
p2v1 = P2ImMessageReceiveV1()
|
||||
p2v1.header = context.header
|
||||
event = P2ImMessageReceiveV1Data()
|
||||
event.message = EventMessage(context.event['message'])
|
||||
event.sender = EventSender(context.event['sender'])
|
||||
p2v1.event = event
|
||||
p2v1.schema = context.schema
|
||||
event = await self.event_converter.target2yiri(p2v1, self.api_client)
|
||||
except Exception:
|
||||
await self.logger.error(f'Error in lark callback: {traceback.format_exc()}')
|
||||
|
||||
if event.__class__ in self.listeners:
|
||||
await self.listeners[event.__class__](event, self)
|
||||
elif 'im.chat.member.bot.added_v1' == type:
|
||||
try:
|
||||
bot_added_welcome_msg = self.config.get('bot_added_welcome', '')
|
||||
if bot_added_welcome_msg:
|
||||
final_content = {
|
||||
'zh_Hans': {
|
||||
'title': '',
|
||||
'content': [[{'tag': 'md', 'text': bot_added_welcome_msg}]],
|
||||
},
|
||||
}
|
||||
chat_id = context.event['chat_id']
|
||||
request: CreateMessageRequest = (
|
||||
CreateMessageRequest.builder()
|
||||
.receive_id_type('chat_id')
|
||||
.request_body(
|
||||
CreateMessageRequestBody.builder()
|
||||
.receive_id(chat_id)
|
||||
.content(json.dumps(final_content))
|
||||
.msg_type('post')
|
||||
.uuid(str(uuid.uuid4()))
|
||||
.build()
|
||||
)
|
||||
.build()
|
||||
)
|
||||
tenant_key = context.header.tenant_key if context.header else None
|
||||
app_access_token = self.get_app_access_token()
|
||||
tenant_access_token = self.get_tenant_access_token(tenant_key)
|
||||
req_opt: RequestOption = (
|
||||
RequestOption.builder()
|
||||
.app_ticket(self.app_ticket)
|
||||
.tenant_key(tenant_key)
|
||||
.app_access_token(app_access_token)
|
||||
.tenant_access_token(tenant_access_token)
|
||||
.build()
|
||||
)
|
||||
response: CreateMessageResponse = self.api_client.im.v1.message.create(request, req_opt)
|
||||
|
||||
if not response.success():
|
||||
raise Exception(
|
||||
f'client.im.v1.message.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)}'
|
||||
)
|
||||
except Exception as e:
|
||||
print(f'im.chat.member.bot.added_v1: {e}')
|
||||
await self.logger.error(f'Error in lark callback: {traceback.format_exc()}')
|
||||
|
||||
return {'code': 200, 'message': 'ok'}
|
||||
except Exception as e:
|
||||
print(f'Error in lark callback: {e}')
|
||||
await self.logger.error(f'Error in lark callback: {traceback.format_exc()}')
|
||||
return {'code': 500, 'message': 'error'}
|
||||
|
||||
async def run_async(self):
|
||||
port = self.config['port']
|
||||
enable_webhook = self.config['enable-webhook']
|
||||
|
||||
if not enable_webhook:
|
||||
@@ -1217,14 +790,16 @@ class LarkAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
|
||||
else:
|
||||
raise e
|
||||
else:
|
||||
# 统一 webhook 模式下，不启动独立的 Quart 应用
|
||||
# 保持运行但不启动独立端口
|
||||
|
||||
async def keep_alive():
|
||||
async def shutdown_trigger_placeholder():
|
||||
while True:
|
||||
await asyncio.sleep(1)
|
||||
|
||||
await keep_alive()
|
||||
await self.quart_app.run_task(
|
||||
host='0.0.0.0',
|
||||
port=port,
|
||||
shutdown_trigger=shutdown_trigger_placeholder,
|
||||
)
|
||||
|
||||
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
|
||||
|
||||
@@ -45,6 +45,16 @@ spec:
|
||||
type: boolean
|
||||
required: true
|
||||
default: false
|
||||
- name: port
|
||||
label:
|
||||
en_US: Webhook Port
|
||||
zh_Hans: Webhook端口
|
||||
description:
|
||||
en_US: Only valid when webhook mode is enabled, please fill in the webhook port
|
||||
zh_Hans: 仅在启用 Webhook 模式时有效，请填写 Webhook 端口
|
||||
type: integer
|
||||
required: true
|
||||
default: 2285
|
||||
- name: encrypt-key
|
||||
label:
|
||||
en_US: Encrypt Key
|
||||
@@ -65,35 +75,6 @@ spec:
|
||||
type: boolean
|
||||
required: true
|
||||
default: false
|
||||
- name: app_type
|
||||
label:
|
||||
en_US: App Type
|
||||
zh_Hans: 应用类型
|
||||
description:
|
||||
en_US: Default to self-built application, refer to https://open.feishu.cn/document/platform-overveiw/overview
|
||||
zh_Hans: 默认为企业自建应用，参考 https://open.feishu.cn/document/platform-overveiw/overview
|
||||
type: select
|
||||
options:
|
||||
- name: self
|
||||
label:
|
||||
en_US: Self-built Application
|
||||
zh_Hans: 自建应用
|
||||
- name: isv
|
||||
label:
|
||||
en_US: Store Application
|
||||
zh_Hans: 商店应用
|
||||
required: false
|
||||
default: self
|
||||
- name: bot_added_welcome
|
||||
label:
|
||||
en_US: Bot Welcome Message
|
||||
zh_Hans: 机器人进群欢迎语
|
||||
description:
|
||||
en_US: Welcome message when the bot is added to a group, supports Markdown format
|
||||
zh_Hans: 机器人进群欢迎语，支持 Markdown 格式
|
||||
type: text
|
||||
required: false
|
||||
default: ""
|
||||
execution:
|
||||
python:
|
||||
path: ./lark.py
|
||||
|
||||
@@ -437,6 +437,9 @@ class GewechatEventConverter(abstract_platform_adapter.AbstractEventConverter):
|
||||
permission=platform_entities.Permission.Member,
|
||||
),
|
||||
special_title='',
|
||||
join_timestamp=0,
|
||||
last_speak_timestamp=0,
|
||||
mute_time_remaining=0,
|
||||
),
|
||||
message_chain=message_chain,
|
||||
time=event['Data']['CreateTime'],
|
||||
|
||||
@@ -153,6 +153,9 @@ class NakuruProjectEventConverter(abstract_platform_adapter.AbstractEventConvert
|
||||
permission=platform_entities.Permission.Member,
|
||||
),
|
||||
special_title=event.sender.title,
|
||||
join_timestamp=0,
|
||||
last_speak_timestamp=0,
|
||||
mute_time_remaining=0,
|
||||
),
|
||||
message_chain=yiri_chain,
|
||||
time=event.time,
|
||||
|
||||
@@ -279,6 +279,11 @@ class OfficialEventConverter(abstract_platform_adapter.AbstractEventConverter):
|
||||
permission=platform_entities.Permission.Member,
|
||||
),
|
||||
special_title='',
|
||||
join_timestamp=int(
|
||||
datetime.datetime.strptime(event.member.joined_at, '%Y-%m-%dT%H:%M:%S%z').timestamp()
|
||||
),
|
||||
last_speak_timestamp=datetime.datetime.now().timestamp(),
|
||||
mute_time_remaining=0,
|
||||
),
|
||||
message_chain=OfficialMessageConverter.extract_message_chain_from_obj(event, event.id),
|
||||
time=int(datetime.datetime.strptime(event.timestamp, '%Y-%m-%dT%H:%M:%S%z').timestamp()),
|
||||
@@ -307,6 +312,9 @@ class OfficialEventConverter(abstract_platform_adapter.AbstractEventConverter):
|
||||
permission=platform_entities.Permission.Member,
|
||||
),
|
||||
special_title='',
|
||||
join_timestamp=int(0),
|
||||
last_speak_timestamp=datetime.datetime.now().timestamp(),
|
||||
mute_time_remaining=0,
|
||||
),
|
||||
message_chain=OfficialMessageConverter.extract_message_chain_from_obj(event, event.id),
|
||||
time=int(datetime.datetime.strptime(event.timestamp, '%Y-%m-%dT%H:%M:%S%z').timestamp()),
|
||||
|
||||
@@ -41,9 +41,10 @@ class LINEMessageConverter(abstract_platform_adapter.AbstractMessageConverter):
|
||||
elif isinstance(component, platform_message.Plain):
|
||||
content_list.append({'type': 'text', 'content': component.text})
|
||||
elif isinstance(component, platform_message.Image):
|
||||
# Only add image if it has a valid URL
|
||||
if component.url:
|
||||
content_list.append({'type': 'image', 'image': component.url})
|
||||
if not component.url:
|
||||
pass
|
||||
content_list.append({'type': 'image', 'image': component.url})
|
||||
|
||||
elif isinstance(component, platform_message.Voice):
|
||||
content_list.append({'type': 'voice', 'url': component.url, 'length': component.length})
|
||||
|
||||
@@ -108,6 +109,9 @@ class LINEEventConverter(abstract_platform_adapter.AbstractEventConverter):
|
||||
permission=platform_entities.Permission.Member,
|
||||
),
|
||||
special_title='',
|
||||
join_timestamp=0,
|
||||
last_speak_timestamp=0,
|
||||
mute_time_remaining=0,
|
||||
),
|
||||
message_chain=message_chain,
|
||||
time=event.timestamp,
|
||||
@@ -118,7 +122,6 @@ class LINEEventConverter(abstract_platform_adapter.AbstractEventConverter):
|
||||
class LINEAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
|
||||
bot: MessagingApi
|
||||
api_client: ApiClient
|
||||
parser: WebhookParser
|
||||
|
||||
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
|
||||
message_converter: LINEMessageConverter
|
||||
@@ -130,7 +133,7 @@ class LINEAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
|
||||
]
|
||||
|
||||
config: dict
|
||||
bot_uuid: str = None
|
||||
quart_app: quart.Quart
|
||||
|
||||
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
|
||||
|
||||
@@ -147,6 +150,7 @@ class LINEAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
|
||||
super().__init__(
|
||||
config=config,
|
||||
logger=logger,
|
||||
quart_app=quart.Quart(__name__),
|
||||
listeners={},
|
||||
card_id_dict={},
|
||||
seq=1,
|
||||
@@ -160,6 +164,29 @@ class LINEAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
|
||||
bot_account_id=bot_account_id,
|
||||
)
|
||||
|
||||
@self.quart_app.route('/line/callback', methods=['POST'])
|
||||
async def line_callback():
|
||||
try:
|
||||
signature = quart.request.headers.get('X-Line-Signature')
|
||||
body = await quart.request.get_data(as_text=True)
|
||||
events = parser.parse(body, signature) # 解密解析消息
|
||||
|
||||
try:
|
||||
# print(events)
|
||||
lb_event = await self.event_converter.target2yiri(events[0], self.api_client)
|
||||
if lb_event.__class__ in self.listeners:
|
||||
await self.listeners[lb_event.__class__](lb_event, self)
|
||||
except InvalidSignatureError:
|
||||
self.logger.info(
|
||||
f'Invalid signature. Please check your channel access token/channel secret.{traceback.format_exc()}'
|
||||
)
|
||||
return quart.Response('Invalid signature', status=400)
|
||||
|
||||
return {'code': 200, 'message': 'ok'}
|
||||
except Exception:
|
||||
await self.logger.error(f'Error in LINE callback: {traceback.format_exc()}')
|
||||
return {'code': 500, 'message': 'error'}
|
||||
|
||||
async def send_message(self, target_type: str, target_id: str, message: platform_message.MessageChain):
|
||||
pass
|
||||
|
||||
@@ -180,12 +207,10 @@ class LINEAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
|
||||
)
|
||||
)
|
||||
elif content['type'] == 'image':
|
||||
# LINE ImageMessage requires original_content_url and preview_image_url
|
||||
image_url = content['image']
|
||||
self.bot.reply_message_with_http_info(
|
||||
ReplyMessageRequest(
|
||||
reply_token=message_source.source_platform_object.reply_token,
|
||||
messages=[ImageMessage(original_content_url=image_url, preview_image_url=image_url)],
|
||||
messages=[ImageMessage(text=content['content'])],
|
||||
)
|
||||
)
|
||||
|
||||
@@ -210,60 +235,18 @@ class LINEAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
|
||||
):
|
||||
self.listeners.pop(event_type)
|
||||
|
||||
def set_bot_uuid(self, bot_uuid: str):
|
||||
"""设置 bot UUID（用于生成 webhook URL）"""
|
||||
self.bot_uuid = bot_uuid
|
||||
|
||||
async def handle_unified_webhook(self, bot_uuid: str, path: str, request):
|
||||
"""处理统一 webhook 请求。
|
||||
|
||||
Args:
|
||||
bot_uuid: Bot 的 UUID
|
||||
path: 子路径（如果有的话）
|
||||
request: Quart Request 对象
|
||||
|
||||
Returns:
|
||||
响应数据
|
||||
"""
|
||||
try:
|
||||
signature = request.headers.get('X-Line-Signature')
|
||||
body = await request.get_data(as_text=True)
|
||||
|
||||
# Check if signature header exists
|
||||
if not signature:
|
||||
await self.logger.warning('Missing X-Line-Signature header')
|
||||
return quart.Response('Missing X-Line-Signature header', status=400)
|
||||
|
||||
try:
|
||||
events = self.parser.parse(body, signature) # 解密解析消息
|
||||
except InvalidSignatureError:
|
||||
await self.logger.info(
|
||||
f'Invalid signature. Please check your channel access token/channel secret.{traceback.format_exc()}'
|
||||
)
|
||||
return quart.Response('Invalid signature', status=400)
|
||||
|
||||
# 处理事件
|
||||
if events and len(events) > 0:
|
||||
lb_event = await self.event_converter.target2yiri(events[0], self.api_client)
|
||||
if lb_event.__class__ in self.listeners:
|
||||
await self.listeners[lb_event.__class__](lb_event, self)
|
||||
|
||||
return {'code': 200, 'message': 'ok'}
|
||||
except Exception:
|
||||
await self.logger.error(f'Error in LINE callback: {traceback.format_exc()}')
|
||||
print(traceback.format_exc())
|
||||
return {'code': 500, 'message': 'error'}
|
||||
|
||||
async def run_async(self):
|
||||
# 统一 webhook 模式下，不启动独立的 Quart 应用
|
||||
# 保持运行但不启动独立端口
|
||||
port = self.config['port']
|
||||
|
||||
# 打印 webhook 回调地址
|
||||
async def keep_alive():
|
||||
async def shutdown_trigger_placeholder():
|
||||
while True:
|
||||
await asyncio.sleep(1)
|
||||
|
||||
await keep_alive()
|
||||
await self.quart_app.run_task(
|
||||
host='0.0.0.0',
|
||||
port=port,
|
||||
shutdown_trigger=shutdown_trigger_placeholder,
|
||||
)
|
||||
|
||||
async def kill(self) -> bool:
|
||||
pass
|
||||
|
||||
@@ -22,6 +22,18 @@ spec:
|
||||
type: string
|
||||
required: true
|
||||
default: ""
|
||||
- name: port
|
||||
label:
|
||||
en_US: Webhook Port
|
||||
zh_Hans: Webhook端口
|
||||
description:
|
||||
en_US: Only valid when webhook mode is enabled, please fill in the webhook port
|
||||
zh_Hans: 请填写 Webhook 端口
|
||||
ja_JP: Webhookポートを入力してください
|
||||
zh_Hant: 請填寫 Webhook 端口
|
||||
type: integer
|
||||
required: true
|
||||
default: 2287
|
||||
- name: channel_secret
|
||||
label:
|
||||
en_US: Channel secret
|
||||
|
||||
@@ -11,7 +11,7 @@ from langbot.libs.official_account_api.api import OAClientForLongerResponse
|
||||
import langbot_plugin.api.entities.builtin.platform.entities as platform_entities
|
||||
import langbot_plugin.api.entities.builtin.platform.message as platform_message
|
||||
import langbot_plugin.api.entities.builtin.platform.events as platform_events
|
||||
from ..logger import EventLogger
|
||||
from langbot.pkg.platform.logger import EventLogger
|
||||
|
||||
|
||||
class OAMessageConverter(abstract_platform_adapter.AbstractMessageConverter):
|
||||
@@ -58,16 +58,13 @@ class OfficialAccountAdapter(abstract_platform_adapter.AbstractMessagePlatformAd
|
||||
message_converter: OAMessageConverter = OAMessageConverter()
|
||||
event_converter: OAEventConverter = OAEventConverter()
|
||||
bot: typing.Union[OAClient, OAClientForLongerResponse] = pydantic.Field(exclude=True)
|
||||
bot_uuid: str = None
|
||||
|
||||
def __init__(self, config: dict, logger: EventLogger):
|
||||
# 校验必填项
|
||||
required_keys = ['token', 'EncodingAESKey', 'AppSecret', 'AppID', 'Mode']
|
||||
missing_keys = [k for k in required_keys if k not in config]
|
||||
if missing_keys:
|
||||
raise Exception(f'OfficialAccount 缺少配置项: {missing_keys}')
|
||||
|
||||
# 创建运行时 bot 对象，始终使用统一 webhook 模式
|
||||
if config['Mode'] == 'drop':
|
||||
bot = OAClient(
|
||||
token=config['token'],
|
||||
@@ -75,7 +72,6 @@ class OfficialAccountAdapter(abstract_platform_adapter.AbstractMessagePlatformAd
|
||||
Appsecret=config['AppSecret'],
|
||||
AppID=config['AppID'],
|
||||
logger=logger,
|
||||
unified_mode=True,
|
||||
)
|
||||
elif config['Mode'] == 'passive':
|
||||
bot = OAClientForLongerResponse(
|
||||
@@ -85,7 +81,6 @@ class OfficialAccountAdapter(abstract_platform_adapter.AbstractMessagePlatformAd
|
||||
AppID=config['AppID'],
|
||||
LoadingMessage=config.get('LoadingMessage', ''),
|
||||
logger=logger,
|
||||
unified_mode=True,
|
||||
)
|
||||
else:
|
||||
raise KeyError('请设置微信公众号通信模式')
|
||||
@@ -134,32 +129,16 @@ class OfficialAccountAdapter(abstract_platform_adapter.AbstractMessagePlatformAd
|
||||
elif event_type == platform_events.GroupMessage:
|
||||
pass
|
||||
|
||||
def set_bot_uuid(self, bot_uuid: str):
|
||||
"""设置 bot UUID（用于生成 webhook URL）"""
|
||||
self.bot_uuid = bot_uuid
|
||||
|
||||
async def handle_unified_webhook(self, bot_uuid: str, path: str, request):
|
||||
"""处理统一 webhook 请求。
|
||||
|
||||
Args:
|
||||
bot_uuid: Bot 的 UUID
|
||||
path: 子路径（如果有的话）
|
||||
request: Quart Request 对象
|
||||
|
||||
Returns:
|
||||
响应数据
|
||||
"""
|
||||
return await self.bot.handle_unified_webhook(request)
|
||||
|
||||
async def run_async(self):
|
||||
# 统一 webhook 模式下，不启动独立的 Quart 应用
|
||||
# 保持运行但不启动独立端口
|
||||
|
||||
async def keep_alive():
|
||||
async def shutdown_trigger_placeholder():
|
||||
while True:
|
||||
await asyncio.sleep(1)
|
||||
|
||||
await keep_alive()
|
||||
await self.bot.run_task(
|
||||
host=self.config['host'],
|
||||
port=self.config['port'],
|
||||
shutdown_trigger=shutdown_trigger_placeholder,
|
||||
)
|
||||
|
||||
async def kill(self) -> bool:
|
||||
return False
|
||||
|
||||
@@ -53,6 +53,23 @@ spec:
|
||||
type: string
|
||||
required: true
|
||||
default: "AI正在思考中，请发送任意内容获取回复。"
|
||||
- name: host
|
||||
label:
|
||||
en_US: Host
|
||||
zh_Hans: 监听主机
|
||||
description:
|
||||
en_US: The host that Official Account listens on for Webhook connections.
|
||||
zh_Hans: 微信公众号监听的主机，除非你知道自己在做什么，否则请写 0.0.0.0
|
||||
type: string
|
||||
required: true
|
||||
default: 0.0.0.0
|
||||
- name: port
|
||||
label:
|
||||
en_US: Port
|
||||
zh_Hans: 监听端口
|
||||
type: integer
|
||||
required: true
|
||||
default: 2287
|
||||
execution:
|
||||
python:
|
||||
path: ./officialaccount.py
|
||||
|
||||
@@ -11,8 +11,8 @@ import langbot_plugin.api.entities.builtin.platform.events as platform_events
|
||||
import langbot_plugin.api.entities.builtin.platform.entities as platform_entities
|
||||
from langbot.libs.qq_official_api.api import QQOfficialClient
|
||||
from langbot.libs.qq_official_api.qqofficialevent import QQOfficialEvent
|
||||
from ...utils import image
|
||||
from ..logger import EventLogger
|
||||
from langbot.pkg.utils import image
|
||||
from langbot.pkg.platform.logger import EventLogger
|
||||
|
||||
|
||||
class QQOfficialMessageConverter(abstract_platform_adapter.AbstractMessageConverter):
|
||||
@@ -94,6 +94,9 @@ class QQOfficialEventConverter(abstract_platform_adapter.AbstractEventConverter)
|
||||
permission=platform_entities.Permission.Member,
|
||||
),
|
||||
special_title='',
|
||||
join_timestamp=0,
|
||||
last_speak_timestamp=0,
|
||||
mute_time_remaining=0,
|
||||
)
|
||||
time = int(datetime.datetime.strptime(event.timestamp, '%Y-%m-%dT%H:%M:%S%z').timestamp())
|
||||
return platform_events.GroupMessage(
|
||||
@@ -114,6 +117,9 @@ class QQOfficialEventConverter(abstract_platform_adapter.AbstractEventConverter)
|
||||
permission=platform_entities.Permission.Member,
|
||||
),
|
||||
special_title='',
|
||||
join_timestamp=0,
|
||||
last_speak_timestamp=0,
|
||||
mute_time_remaining=0,
|
||||
)
|
||||
time = int(datetime.datetime.strptime(event.timestamp, '%Y-%m-%dT%H:%M:%S%z').timestamp())
|
||||
return platform_events.GroupMessage(
|
||||
@@ -128,14 +134,11 @@ class QQOfficialAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter
|
||||
bot: QQOfficialClient
|
||||
config: dict
|
||||
bot_account_id: str
|
||||
bot_uuid: str = None
|
||||
message_converter: QQOfficialMessageConverter = QQOfficialMessageConverter()
|
||||
event_converter: QQOfficialEventConverter = QQOfficialEventConverter()
|
||||
|
||||
def __init__(self, config: dict, logger: EventLogger):
|
||||
bot = QQOfficialClient(
|
||||
app_id=config['appid'], secret=config['secret'], token=config['token'], logger=logger, unified_mode=True
|
||||
)
|
||||
bot = QQOfficialClient(app_id=config['appid'], secret=config['secret'], token=config['token'], logger=logger)
|
||||
|
||||
super().__init__(
|
||||
config=config,
|
||||
@@ -220,32 +223,16 @@ class QQOfficialAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter
|
||||
self.bot.on_message('GROUP_AT_MESSAGE_CREATE')(on_message)
|
||||
self.bot.on_message('AT_MESSAGE_CREATE')(on_message)
|
||||
|
||||
def set_bot_uuid(self, bot_uuid: str):
|
||||
"""设置 bot UUID（用于生成 webhook URL）"""
|
||||
self.bot_uuid = bot_uuid
|
||||
|
||||
async def handle_unified_webhook(self, bot_uuid: str, path: str, request):
|
||||
"""处理统一 webhook 请求。
|
||||
|
||||
Args:
|
||||
bot_uuid: Bot 的 UUID
|
||||
path: 子路径（如果有的话）
|
||||
request: Quart Request 对象
|
||||
|
||||
Returns:
|
||||
响应数据
|
||||
"""
|
||||
return await self.bot.handle_unified_webhook(request)
|
||||
|
||||
async def run_async(self):
|
||||
# 统一 webhook 模式下，不启动独立的 Quart 应用
|
||||
# 保持运行但不启动独立端口
|
||||
|
||||
async def keep_alive():
|
||||
async def shutdown_trigger_placeholder():
|
||||
while True:
|
||||
await asyncio.sleep(1)
|
||||
|
||||
await keep_alive()
|
||||
await self.bot.run_task(
|
||||
host='0.0.0.0',
|
||||
port=self.config['port'],
|
||||
shutdown_trigger=shutdown_trigger_placeholder,
|
||||
)
|
||||
|
||||
async def kill(self) -> bool:
|
||||
return False
|
||||
|
||||
@@ -25,6 +25,13 @@ spec:
|
||||
type: string
|
||||
required: true
|
||||
default: ""
|
||||
- name: port
|
||||
label:
|
||||
en_US: Port
|
||||
zh_Hans: 监听端口
|
||||
type: integer
|
||||
required: true
|
||||
default: 2284
|
||||
- name: token
|
||||
label:
|
||||
en_US: Token
|
||||
|
||||
@@ -24,20 +24,9 @@ class SlackMessageConverter(abstract_platform_adapter.AbstractMessageConverter):
|
||||
if type(msg) is platform_message.Plain:
|
||||
content_list.append(
|
||||
{
|
||||
'type': 'text',
|
||||
'content': msg.text,
|
||||
}
|
||||
)
|
||||
elif type(msg) is platform_message.Image:
|
||||
# Slack supports images via unfurling URLs
|
||||
# Include image URL in the message so Slack can unfurl it
|
||||
if msg.url:
|
||||
content_list.append(
|
||||
{
|
||||
'type': 'image',
|
||||
'content': msg.url,
|
||||
}
|
||||
)
|
||||
|
||||
return content_list
|
||||
|
||||
@@ -76,6 +65,9 @@ class SlackEventConverter(abstract_platform_adapter.AbstractEventConverter):
|
||||
id=event.channel_id, name='MEMBER', permission=platform_entities.Permission.Member
|
||||
),
|
||||
special_title='',
|
||||
join_timestamp=0,
|
||||
last_speak_timestamp=0,
|
||||
mute_time_remaining=0,
|
||||
)
|
||||
time = int(datetime.datetime.utcnow().timestamp())
|
||||
return platform_events.GroupMessage(
|
||||
@@ -94,12 +86,13 @@ class SlackEventConverter(abstract_platform_adapter.AbstractEventConverter):
|
||||
class SlackAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
|
||||
bot: SlackClient
|
||||
bot_account_id: str
|
||||
bot_uuid: str = None
|
||||
message_converter: SlackMessageConverter = SlackMessageConverter()
|
||||
event_converter: SlackEventConverter = SlackEventConverter()
|
||||
config: dict
|
||||
|
||||
def __init__(self, config: dict, logger: EventLogger):
|
||||
self.config = config
|
||||
self.logger = logger
|
||||
required_keys = [
|
||||
'bot_token',
|
||||
'signing_secret',
|
||||
@@ -108,15 +101,8 @@ class SlackAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
|
||||
if missing_keys:
|
||||
raise command_errors.ParamNotEnoughError('Slack机器人缺少相关配置项，请查看文档或联系管理员')
|
||||
|
||||
bot = SlackClient(
|
||||
bot_token=config['bot_token'], signing_secret=config['signing_secret'], logger=logger, unified_mode=True
|
||||
)
|
||||
|
||||
super().__init__(
|
||||
config=config,
|
||||
logger=logger,
|
||||
bot=bot,
|
||||
bot_account_id=config['bot_token'],
|
||||
self.bot = SlackClient(
|
||||
bot_token=self.config['bot_token'], signing_secret=self.config['signing_secret'], logger=self.logger
|
||||
)
|
||||
|
||||
async def reply_message(
|
||||
@@ -130,24 +116,18 @@ class SlackAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
|
||||
content_list = await SlackMessageConverter.yiri2target(message)
|
||||
|
||||
for content in content_list:
|
||||
# Both text and image (URL) are sent as text messages
|
||||
# Slack will auto-unfurl image URLs
|
||||
message_content = content['content']
|
||||
if slack_event.type == 'channel':
|
||||
await self.bot.send_message_to_channel(message_content, slack_event.channel_id)
|
||||
await self.bot.send_message_to_channel(content['content'], slack_event.channel_id)
|
||||
if slack_event.type == 'im':
|
||||
await self.bot.send_message_to_one(message_content, slack_event.user_id)
|
||||
await self.bot.send_message_to_one(content['content'], slack_event.user_id)
|
||||
|
||||
async def send_message(self, target_type: str, target_id: str, message: platform_message.MessageChain):
|
||||
content_list = await SlackMessageConverter.yiri2target(message)
|
||||
for content in content_list:
|
||||
# Both text and image (URL) are sent as text messages
|
||||
# Slack will auto-unfurl image URLs
|
||||
message_content = content['content']
|
||||
if target_type == 'person':
|
||||
await self.bot.send_message_to_one(message_content, target_id)
|
||||
await self.bot.send_message_to_one(content['content'], target_id)
|
||||
if target_type == 'group':
|
||||
await self.bot.send_message_to_channel(message_content, target_id)
|
||||
await self.bot.send_message_to_channel(content['content'], target_id)
|
||||
|
||||
def register_listener(
|
||||
self,
|
||||
@@ -168,31 +148,16 @@ class SlackAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
|
||||
elif event_type == platform_events.GroupMessage:
|
||||
self.bot.on_message('channel')(on_message)
|
||||
|
||||
def set_bot_uuid(self, bot_uuid: str):
|
||||
"""设置 bot UUID（用于生成 webhook URL）"""
|
||||
self.bot_uuid = bot_uuid
|
||||
|
||||
async def handle_unified_webhook(self, bot_uuid: str, path: str, request):
|
||||
"""处理统一 webhook 请求。
|
||||
|
||||
Args:
|
||||
bot_uuid: Bot 的 UUID
|
||||
path: 子路径（如果有的话）
|
||||
request: Quart Request 对象
|
||||
|
||||
Returns:
|
||||
响应数据
|
||||
"""
|
||||
return await self.bot.handle_unified_webhook(request)
|
||||
|
||||
async def run_async(self):
|
||||
# 统一 webhook 模式下，不启动独立的 Quart 应用
|
||||
# 保持运行但不启动独立端口
|
||||
async def keep_alive():
|
||||
async def shutdown_trigger_placeholder():
|
||||
while True:
|
||||
await asyncio.sleep(1)
|
||||
|
||||
await keep_alive()
|
||||
await self.bot.run_task(
|
||||
host='0.0.0.0',
|
||||
port=self.config['port'],
|
||||
shutdown_trigger=shutdown_trigger_placeholder,
|
||||
)
|
||||
|
||||
async def kill(self) -> bool:
|
||||
return False
|
||||
|
||||
@@ -25,6 +25,13 @@ spec:
|
||||
type: string
|
||||
required: true
|
||||
default: ""
|
||||
- name: port
|
||||
label:
|
||||
en_US: Port
|
||||
zh_Hans: 监听端口
|
||||
type: int
|
||||
required: true
|
||||
default: 2288
|
||||
execution:
|
||||
python:
|
||||
path: ./slack.py
|
||||
|
||||
@@ -120,6 +120,9 @@ class TelegramEventConverter(abstract_platform_adapter.AbstractEventConverter):
|
||||
permission=platform_entities.Permission.Member,
|
||||
),
|
||||
special_title='',
|
||||
join_timestamp=0,
|
||||
last_speak_timestamp=0,
|
||||
mute_time_remaining=0,
|
||||
),
|
||||
message_chain=lb_message,
|
||||
time=event.message.date.timestamp(),
|
||||
|
||||
304
src/langbot/pkg/platform/sources/webchat.py
Normal file
304
src/langbot/pkg/platform/sources/webchat.py
Normal file
@@ -0,0 +1,304 @@
|
||||
import asyncio
|
||||
import logging
|
||||
import typing
|
||||
from datetime import datetime
|
||||
|
||||
import pydantic
|
||||
|
||||
import langbot_plugin.api.definition.abstract.platform.adapter as abstract_platform_adapter
|
||||
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 ...core import app
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
|
||||
class WebChatMessage(pydantic.BaseModel):
|
||||
id: int
|
||||
role: str
|
||||
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:
|
||||
self.message_lists[pipeline_uuid] = []
|
||||
|
||||
return self.message_lists[pipeline_uuid]
|
||||
|
||||
|
||||
class WebChatAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
|
||||
"""WebChat调试适配器，用于流水线调试"""
|
||||
|
||||
webchat_person_session: WebChatSession = pydantic.Field(exclude=True, default_factory=WebChatSession)
|
||||
webchat_group_session: WebChatSession = pydantic.Field(exclude=True, default_factory=WebChatSession)
|
||||
|
||||
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)
|
||||
|
||||
ap: app.Application = pydantic.Field(exclude=True)
|
||||
|
||||
def __init__(self, config: dict, logger: abstract_platform_logger.AbstractEventLogger, **kwargs):
|
||||
super().__init__(
|
||||
config=config,
|
||||
logger=logger,
|
||||
**kwargs,
|
||||
)
|
||||
|
||||
self.webchat_person_session = WebChatSession(id='webchatperson')
|
||||
self.webchat_group_session = WebChatSession(id='webchatgroup')
|
||||
|
||||
self.bot_account_id = 'webchatbot'
|
||||
|
||||
self.debug_messages = {}
|
||||
|
||||
async def send_message(
|
||||
self,
|
||||
target_type: str,
|
||||
target_id: str,
|
||||
message: platform_message.MessageChain,
|
||||
) -> dict:
|
||||
"""发送消息到调试会话"""
|
||||
session_key = target_id
|
||||
|
||||
if session_key not in self.debug_messages:
|
||||
self.debug_messages[session_key] = []
|
||||
|
||||
message_data = {
|
||||
'id': len(self.debug_messages[session_key]) + 1,
|
||||
'type': 'bot',
|
||||
'content': str(message),
|
||||
'timestamp': datetime.now().isoformat(),
|
||||
'message_chain': [component.__dict__ for component in message],
|
||||
}
|
||||
|
||||
self.debug_messages[session_key].append(message_data)
|
||||
|
||||
await self.logger.info(f'Send message to {session_key}: {message}')
|
||||
|
||||
return message_data
|
||||
|
||||
async def reply_message(
|
||||
self,
|
||||
message_source: platform_events.MessageEvent,
|
||||
message: platform_message.MessageChain,
|
||||
quote_origin: 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
|
||||
if isinstance(message_source, platform_events.FriendMessage):
|
||||
await self.webchat_person_session.resp_queues[message_source.message_chain.message_id].put(message_data)
|
||||
elif isinstance(message_source, platform_events.GroupMessage):
|
||||
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],
|
||||
func: typing.Callable[
|
||||
[platform_events.Event, abstract_platform_adapter.AbstractMessagePlatformAdapter], typing.Awaitable[None]
|
||||
],
|
||||
):
|
||||
"""注册事件监听器"""
|
||||
self.listeners[event_type] = func
|
||||
|
||||
def unregister_listener(
|
||||
self,
|
||||
event_type: typing.Type[platform_events.Event],
|
||||
func: typing.Callable[
|
||||
[platform_events.Event, abstract_platform_adapter.AbstractMessagePlatformAdapter], typing.Awaitable[None]
|
||||
],
|
||||
):
|
||||
"""取消注册事件监听器"""
|
||||
del self.listeners[event_type]
|
||||
|
||||
async def is_muted(self, group_id: int) -> bool:
|
||||
return False
|
||||
|
||||
async def run_async(self):
|
||||
"""运行适配器"""
|
||||
await self.logger.info('WebChat调试适配器已启动')
|
||||
|
||||
try:
|
||||
while True:
|
||||
await asyncio.sleep(1)
|
||||
except asyncio.CancelledError:
|
||||
await self.logger.info('WebChat调试适配器已停止')
|
||||
raise
|
||||
|
||||
async def kill(self):
|
||||
"""停止适配器"""
|
||||
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],
|
||||
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
|
||||
else:
|
||||
use_session = self.webchat_group_session
|
||||
|
||||
message_chain = platform_message.MessageChain.parse_obj(message_chain_obj)
|
||||
|
||||
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,
|
||||
role='user',
|
||||
content=str(message_chain),
|
||||
message_chain=message_chain_obj,
|
||||
timestamp=datetime.now().isoformat(),
|
||||
)
|
||||
)
|
||||
|
||||
message_chain.insert(0, platform_message.Source(id=message_id, time=datetime.now().timestamp()))
|
||||
|
||||
if session_type == 'person':
|
||||
sender = platform_entities.Friend(id='webchatperson', nickname='User', remark='User')
|
||||
event = platform_events.FriendMessage(
|
||||
sender=sender, message_chain=message_chain, time=datetime.now().timestamp()
|
||||
)
|
||||
else:
|
||||
group = platform_entities.Group(
|
||||
id='webchatgroup', name='Group', permission=platform_entities.Permission.Member
|
||||
)
|
||||
sender = platform_entities.GroupMember(
|
||||
id='webchatperson',
|
||||
member_name='User',
|
||||
group=group,
|
||||
permission=platform_entities.Permission.Member,
|
||||
)
|
||||
event = platform_events.GroupMessage(
|
||||
sender=sender, message_chain=message_chain, time=datetime.now().timestamp()
|
||||
)
|
||||
|
||||
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)
|
||||
|
||||
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)
|
||||
|
||||
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"""
|
||||
if session_type == 'person':
|
||||
return [message.model_dump() for message in self.webchat_person_session.get_message_list(pipeline_uuid)]
|
||||
else:
|
||||
return [message.model_dump() for message in self.webchat_group_session.get_message_list(pipeline_uuid)]
|
||||
17
src/langbot/pkg/platform/sources/webchat.yaml
Normal file
17
src/langbot/pkg/platform/sources/webchat.yaml
Normal file
@@ -0,0 +1,17 @@
|
||||
apiVersion: v1
|
||||
kind: MessagePlatformAdapter
|
||||
metadata:
|
||||
name: webchat
|
||||
label:
|
||||
en_US: "WebChat Debug"
|
||||
zh_Hans: "网页聊天调试"
|
||||
description:
|
||||
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:
|
||||
config: []
|
||||
execution:
|
||||
python:
|
||||
path: "webchat.py"
|
||||
attr: "WebChatAdapter"
|
||||
@@ -1,17 +0,0 @@
|
||||
apiVersion: v1
|
||||
kind: MessagePlatformAdapter
|
||||
metadata:
|
||||
name: websocket
|
||||
label:
|
||||
en_US: "WebSocket Chat"
|
||||
zh_Hans: "WebSocket 聊天"
|
||||
description:
|
||||
en_US: "WebSocket adapter for bidirectional real-time communication"
|
||||
zh_Hans: "用于双向实时通信的 WebSocket 适配器"
|
||||
icon: ""
|
||||
spec:
|
||||
config: []
|
||||
execution:
|
||||
python:
|
||||
path: "websocket_adapter.py"
|
||||
attr: "WebSocketAdapter"
|
||||
@@ -1,415 +0,0 @@
|
||||
"""WebSocket适配器 - 支持双向通信的IM系统"""
|
||||
|
||||
import asyncio
|
||||
import logging
|
||||
import typing
|
||||
from datetime import datetime
|
||||
|
||||
import pydantic
|
||||
|
||||
import langbot_plugin.api.definition.abstract.platform.adapter as abstract_platform_adapter
|
||||
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 ...core import app
|
||||
from .websocket_manager import ws_connection_manager, WebSocketConnection
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
|
||||
class WebSocketMessage(pydantic.BaseModel):
|
||||
"""WebSocket消息格式"""
|
||||
|
||||
id: int
|
||||
role: str # 'user' or 'assistant'
|
||||
content: str
|
||||
message_chain: list[dict]
|
||||
timestamp: str
|
||||
is_final: bool = False
|
||||
connection_id: str = ''
|
||||
"""发送者连接ID"""
|
||||
|
||||
|
||||
class WebSocketSession:
|
||||
"""WebSocket会话 - 管理单个会话的消息历史"""
|
||||
|
||||
id: str
|
||||
message_lists: dict[str, list[WebSocketMessage]] = {}
|
||||
"""消息列表 {pipeline_uuid: [messages]}"""
|
||||
|
||||
def __init__(self, id: str):
|
||||
self.id = id
|
||||
self.message_lists = {}
|
||||
|
||||
def get_message_list(self, pipeline_uuid: str) -> list[WebSocketMessage]:
|
||||
if pipeline_uuid not in self.message_lists:
|
||||
self.message_lists[pipeline_uuid] = []
|
||||
return self.message_lists[pipeline_uuid]
|
||||
|
||||
|
||||
class WebSocketAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
|
||||
"""WebSocket适配器 - 支持双向实时通信"""
|
||||
|
||||
websocket_person_session: WebSocketSession = pydantic.Field(exclude=True, default_factory=WebSocketSession)
|
||||
websocket_group_session: WebSocketSession = pydantic.Field(exclude=True, default_factory=WebSocketSession)
|
||||
|
||||
listeners: dict[
|
||||
typing.Type[platform_events.Event],
|
||||
typing.Callable[[platform_events.Event, abstract_platform_adapter.AbstractMessagePlatformAdapter], None],
|
||||
] = pydantic.Field(default_factory=dict, exclude=True)
|
||||
|
||||
ap: app.Application = pydantic.Field(exclude=True)
|
||||
|
||||
# 主动推送消息的队列
|
||||
outbound_message_queue: asyncio.Queue = pydantic.Field(default_factory=asyncio.Queue, exclude=True)
|
||||
"""后端主动推送消息的队列"""
|
||||
|
||||
# 流式输出开关
|
||||
stream_enabled: bool = pydantic.Field(default=True, exclude=True)
|
||||
"""是否启用流式输出"""
|
||||
|
||||
def __init__(self, config: dict, logger: abstract_platform_logger.AbstractEventLogger, **kwargs):
|
||||
super().__init__(
|
||||
config=config,
|
||||
logger=logger,
|
||||
**kwargs,
|
||||
)
|
||||
|
||||
self.websocket_person_session = WebSocketSession(id='websocketperson')
|
||||
self.websocket_group_session = WebSocketSession(id='websocketgroup')
|
||||
|
||||
self.bot_account_id = 'websocketbot'
|
||||
self.outbound_message_queue = asyncio.Queue()
|
||||
self.stream_enabled = True
|
||||
|
||||
async def send_message(
|
||||
self,
|
||||
target_type: str,
|
||||
target_id: str,
|
||||
message: platform_message.MessageChain,
|
||||
) -> dict:
|
||||
"""发送消息 - 这里用于主动推送消息到前端"""
|
||||
message_data = {
|
||||
'type': 'bot_message',
|
||||
'target_type': target_type,
|
||||
'target_id': target_id,
|
||||
'content': str(message),
|
||||
'message_chain': [component.__dict__ for component in message],
|
||||
'timestamp': datetime.now().isoformat(),
|
||||
}
|
||||
|
||||
# 推送到所有相关连接
|
||||
await self.outbound_message_queue.put(message_data)
|
||||
|
||||
return message_data
|
||||
|
||||
async def reply_message(
|
||||
self,
|
||||
message_source: platform_events.MessageEvent,
|
||||
message: platform_message.MessageChain,
|
||||
quote_origin: bool = False,
|
||||
) -> dict:
|
||||
"""回复消息 - 非流式"""
|
||||
# 获取会话和pipeline信息
|
||||
session = (
|
||||
self.websocket_group_session
|
||||
if isinstance(message_source, platform_events.GroupMessage)
|
||||
else self.websocket_person_session
|
||||
)
|
||||
|
||||
# 从message_source获取pipeline_uuid和connection_id
|
||||
pipeline_uuid = self.ap.platform_mgr.websocket_proxy_bot.bot_entity.use_pipeline_uuid
|
||||
session_type = 'group' if isinstance(message_source, platform_events.GroupMessage) else 'person'
|
||||
|
||||
# 生成新的消息ID
|
||||
msg_id = len(session.get_message_list(pipeline_uuid)) + 1
|
||||
|
||||
message_data = WebSocketMessage(
|
||||
id=msg_id,
|
||||
role='assistant',
|
||||
content=str(message),
|
||||
message_chain=[component.__dict__ for component in message],
|
||||
timestamp=datetime.now().isoformat(),
|
||||
is_final=True,
|
||||
)
|
||||
|
||||
# 保存到历史记录
|
||||
session.get_message_list(pipeline_uuid).append(message_data)
|
||||
|
||||
# 直接广播到所有该pipeline的连接，包含session_type信息
|
||||
await ws_connection_manager.broadcast_to_pipeline(
|
||||
pipeline_uuid,
|
||||
{
|
||||
'type': 'response',
|
||||
'session_type': session_type,
|
||||
'data': message_data.model_dump(),
|
||||
},
|
||||
session_type=session_type,
|
||||
)
|
||||
|
||||
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:
|
||||
"""回复消息块 - 流式"""
|
||||
# 获取会话和pipeline信息
|
||||
session = (
|
||||
self.websocket_group_session
|
||||
if isinstance(message_source, platform_events.GroupMessage)
|
||||
else self.websocket_person_session
|
||||
)
|
||||
|
||||
pipeline_uuid = self.ap.platform_mgr.websocket_proxy_bot.bot_entity.use_pipeline_uuid
|
||||
session_type = 'group' if isinstance(message_source, platform_events.GroupMessage) else 'person'
|
||||
message_list = session.get_message_list(pipeline_uuid)
|
||||
|
||||
# 检查是否是新的流式消息（通过bot_message对象判断）
|
||||
# 如果列表为空，或者最后一条消息已经is_final=True，则创建新消息
|
||||
if not message_list or message_list[-1].is_final:
|
||||
# 创建新消息
|
||||
msg_id = len(message_list) + 1
|
||||
message_data = WebSocketMessage(
|
||||
id=msg_id,
|
||||
role='assistant',
|
||||
content=str(message),
|
||||
message_chain=[component.__dict__ for component in message],
|
||||
timestamp=datetime.now().isoformat(),
|
||||
is_final=is_final and bot_message.tool_calls is None,
|
||||
)
|
||||
|
||||
# 只有在is_final时才保存到历史记录
|
||||
if is_final and bot_message.tool_calls is None:
|
||||
message_list.append(message_data)
|
||||
else:
|
||||
# 更新最后一条消息
|
||||
msg_id = message_list[-1].id
|
||||
message_data = WebSocketMessage(
|
||||
id=msg_id,
|
||||
role='assistant',
|
||||
content=str(message),
|
||||
message_chain=[component.__dict__ for component in message],
|
||||
timestamp=message_list[-1].timestamp, # 保持原始时间戳
|
||||
is_final=is_final and bot_message.tool_calls is None,
|
||||
)
|
||||
|
||||
# 如果是final，更新历史记录中的最后一条
|
||||
if is_final and bot_message.tool_calls is None:
|
||||
message_list[-1] = message_data
|
||||
|
||||
# 直接广播到所有该pipeline的连接，包含session_type信息
|
||||
await ws_connection_manager.broadcast_to_pipeline(
|
||||
pipeline_uuid,
|
||||
{
|
||||
'type': 'response',
|
||||
'session_type': session_type,
|
||||
'data': message_data.model_dump(),
|
||||
},
|
||||
session_type=session_type,
|
||||
)
|
||||
|
||||
return message_data.model_dump()
|
||||
|
||||
async def is_stream_output_supported(self) -> bool:
|
||||
"""根据stream_enabled标志返回是否支持流式输出"""
|
||||
return self.stream_enabled
|
||||
|
||||
def register_listener(
|
||||
self,
|
||||
event_type: typing.Type[platform_events.Event],
|
||||
func: typing.Callable[
|
||||
[platform_events.Event, abstract_platform_adapter.AbstractMessagePlatformAdapter], typing.Awaitable[None]
|
||||
],
|
||||
):
|
||||
"""注册事件监听器"""
|
||||
self.listeners[event_type] = func
|
||||
|
||||
def unregister_listener(
|
||||
self,
|
||||
event_type: typing.Type[platform_events.Event],
|
||||
func: typing.Callable[
|
||||
[platform_events.Event, abstract_platform_adapter.AbstractMessagePlatformAdapter], typing.Awaitable[None]
|
||||
],
|
||||
):
|
||||
"""取消注册事件监听器"""
|
||||
del self.listeners[event_type]
|
||||
|
||||
async def is_muted(self, group_id: int) -> bool:
|
||||
return False
|
||||
|
||||
async def run_async(self):
|
||||
"""运行适配器"""
|
||||
|
||||
try:
|
||||
while True:
|
||||
# 处理主动推送消息
|
||||
if not self.outbound_message_queue.empty():
|
||||
try:
|
||||
message = await asyncio.wait_for(self.outbound_message_queue.get(), timeout=0.1)
|
||||
# 广播到所有相关连接
|
||||
target_id = message.get('target_id', '')
|
||||
await ws_connection_manager.broadcast_to_pipeline(target_id, message)
|
||||
except asyncio.TimeoutError:
|
||||
pass
|
||||
|
||||
await asyncio.sleep(0.1)
|
||||
except asyncio.CancelledError:
|
||||
raise
|
||||
|
||||
async def kill(self):
|
||||
"""停止适配器"""
|
||||
pass
|
||||
|
||||
async def _process_image_components(self, message_chain_obj: list):
|
||||
"""
|
||||
处理消息链中的图片组件，将path转换为base64
|
||||
|
||||
Args:
|
||||
message_chain_obj: 消息链对象列表
|
||||
"""
|
||||
import base64
|
||||
|
||||
storage_mgr = self.ap.storage_mgr
|
||||
|
||||
for component in message_chain_obj:
|
||||
if component.get('type') == 'Image' and component.get('path'):
|
||||
try:
|
||||
# 从storage读取文件
|
||||
file_content = await storage_mgr.storage_provider.load(component['path'])
|
||||
|
||||
# 转换为base64
|
||||
base64_str = base64.b64encode(file_content).decode('utf-8')
|
||||
|
||||
# 添加data URI前缀（根据文件扩展名判断MIME类型）
|
||||
file_key = component['path']
|
||||
if file_key.lower().endswith(('.jpg', '.jpeg')):
|
||||
mime_type = 'image/jpeg'
|
||||
elif file_key.lower().endswith('.png'):
|
||||
mime_type = 'image/png'
|
||||
elif file_key.lower().endswith('.gif'):
|
||||
mime_type = 'image/gif'
|
||||
elif file_key.lower().endswith('.webp'):
|
||||
mime_type = 'image/webp'
|
||||
else:
|
||||
mime_type = 'image/png' # 默认
|
||||
|
||||
component['base64'] = f'data:{mime_type};base64,{base64_str}'
|
||||
await storage_mgr.storage_provider.delete(component['path'])
|
||||
component['path'] = ''
|
||||
# 保留path字段用于后端处理，前端使用base64显示
|
||||
except Exception as e:
|
||||
await self.logger.error(f'加载图片文件失败 {component["path"]}: {e}')
|
||||
|
||||
async def handle_websocket_message(
|
||||
self,
|
||||
connection: WebSocketConnection,
|
||||
message_data: dict,
|
||||
):
|
||||
"""
|
||||
处理从WebSocket接收的消息
|
||||
|
||||
这个方法只负责接收消息、保存到历史记录、并触发事件处理
|
||||
不等待任何响应，响应消息会通过reply_message/reply_message_chunk直接发送
|
||||
|
||||
Args:
|
||||
connection: WebSocket连接对象
|
||||
message_data: 消息数据，包含:
|
||||
- message: 消息链
|
||||
- stream: 是否启用流式输出 (可选，默认True)
|
||||
"""
|
||||
pipeline_uuid = connection.pipeline_uuid
|
||||
session_type = connection.session_type
|
||||
|
||||
# 获取stream参数，默认为True
|
||||
self.stream_enabled = message_data.get('stream', True)
|
||||
|
||||
# 选择会话
|
||||
use_session = self.websocket_group_session if session_type == 'group' else self.websocket_person_session
|
||||
|
||||
# 解析消息链
|
||||
message_chain_obj = message_data.get('message', [])
|
||||
|
||||
# 处理图片组件：将path转换为base64
|
||||
await self._process_image_components(message_chain_obj)
|
||||
|
||||
message_chain = platform_message.MessageChain.model_validate(message_chain_obj)
|
||||
|
||||
# 生成消息ID
|
||||
message_id = len(use_session.get_message_list(pipeline_uuid)) + 1
|
||||
|
||||
# 保存用户消息
|
||||
user_message = WebSocketMessage(
|
||||
id=message_id,
|
||||
role='user',
|
||||
content=str(message_chain),
|
||||
message_chain=message_chain_obj,
|
||||
timestamp=datetime.now().isoformat(),
|
||||
connection_id=connection.connection_id,
|
||||
is_final=True, # 用户消息始终是完整的，非流式
|
||||
)
|
||||
use_session.get_message_list(pipeline_uuid).append(user_message)
|
||||
|
||||
# 广播用户消息到所有连接（包括发送者），包含session_type信息
|
||||
await ws_connection_manager.broadcast_to_pipeline(
|
||||
pipeline_uuid,
|
||||
{
|
||||
'type': 'user_message',
|
||||
'session_type': session_type,
|
||||
'data': user_message.model_dump(),
|
||||
},
|
||||
session_type=session_type,
|
||||
)
|
||||
|
||||
# 添加消息源
|
||||
message_chain.insert(0, platform_message.Source(id=message_id, time=datetime.now().timestamp()))
|
||||
|
||||
# 创建事件
|
||||
if session_type == 'person':
|
||||
sender = platform_entities.Friend(
|
||||
id=f'websocket_{connection.connection_id}', nickname='User', remark='User'
|
||||
)
|
||||
event = platform_events.FriendMessage(
|
||||
sender=sender, message_chain=message_chain, time=datetime.now().timestamp()
|
||||
)
|
||||
else:
|
||||
group = platform_entities.Group(
|
||||
id='websocketgroup', name='Group', permission=platform_entities.Permission.Member
|
||||
)
|
||||
sender = platform_entities.GroupMember(
|
||||
id=f'websocket_{connection.connection_id}',
|
||||
member_name='User',
|
||||
group=group,
|
||||
permission=platform_entities.Permission.Member,
|
||||
)
|
||||
event = platform_events.GroupMessage(
|
||||
sender=sender, message_chain=message_chain, time=datetime.now().timestamp()
|
||||
)
|
||||
|
||||
# 设置流水线UUID
|
||||
self.ap.platform_mgr.websocket_proxy_bot.bot_entity.use_pipeline_uuid = pipeline_uuid
|
||||
|
||||
# 异步触发事件处理（不等待结果）
|
||||
if event.__class__ in self.listeners:
|
||||
asyncio.create_task(self.listeners[event.__class__](event, self))
|
||||
|
||||
def get_websocket_messages(self, pipeline_uuid: str, session_type: str) -> list[dict]:
|
||||
"""获取消息历史"""
|
||||
if session_type == 'person':
|
||||
return [message.model_dump() for message in self.websocket_person_session.get_message_list(pipeline_uuid)]
|
||||
else:
|
||||
return [message.model_dump() for message in self.websocket_group_session.get_message_list(pipeline_uuid)]
|
||||
|
||||
def reset_session(self, pipeline_uuid: str, session_type: str):
|
||||
"""重置会话"""
|
||||
if session_type == 'person':
|
||||
if pipeline_uuid in self.websocket_person_session.message_lists:
|
||||
self.websocket_person_session.message_lists[pipeline_uuid] = []
|
||||
else:
|
||||
if pipeline_uuid in self.websocket_group_session.message_lists:
|
||||
self.websocket_group_session.message_lists[pipeline_uuid] = []
|
||||
@@ -1,188 +0,0 @@
|
||||
"""WebSocket连接管理器 - 管理多个并发WebSocket连接"""
|
||||
|
||||
import asyncio
|
||||
import logging
|
||||
import typing
|
||||
import uuid
|
||||
from datetime import datetime
|
||||
|
||||
import pydantic
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
|
||||
class WebSocketConnection(pydantic.BaseModel):
|
||||
"""单个WebSocket连接"""
|
||||
|
||||
model_config = pydantic.ConfigDict(arbitrary_types_allowed=True)
|
||||
|
||||
connection_id: str = pydantic.Field(default_factory=lambda: str(uuid.uuid4()))
|
||||
"""连接唯一ID"""
|
||||
|
||||
pipeline_uuid: str
|
||||
"""关联的流水线UUID"""
|
||||
|
||||
session_type: str # 'person' or 'group'
|
||||
"""会话类型"""
|
||||
|
||||
websocket: typing.Any = pydantic.Field(exclude=True)
|
||||
"""WebSocket连接对象 (quart.websocket)"""
|
||||
|
||||
created_at: datetime = pydantic.Field(default_factory=datetime.now)
|
||||
"""连接创建时间"""
|
||||
|
||||
last_active: datetime = pydantic.Field(default_factory=datetime.now)
|
||||
"""最后活跃时间"""
|
||||
|
||||
send_queue: asyncio.Queue = pydantic.Field(default_factory=asyncio.Queue, exclude=True)
|
||||
"""发送消息队列"""
|
||||
|
||||
is_active: bool = True
|
||||
"""连接是否活跃"""
|
||||
|
||||
metadata: dict = pydantic.Field(default_factory=dict)
|
||||
"""连接元数据（可存储额外信息）"""
|
||||
|
||||
|
||||
class WebSocketConnectionManager:
|
||||
"""WebSocket连接管理器 - 支持多连接并发"""
|
||||
|
||||
def __init__(self):
|
||||
self.connections: dict[str, WebSocketConnection] = {}
|
||||
"""所有活跃连接 {connection_id: connection}"""
|
||||
|
||||
self.pipeline_connections: dict[str, set[str]] = {}
|
||||
"""流水线到连接的映射 {pipeline_uuid: {connection_id, ...}}"""
|
||||
|
||||
self.session_connections: dict[str, set[str]] = {}
|
||||
"""会话类型到连接的映射 {session_type: {connection_id, ...}}"""
|
||||
|
||||
self._lock = asyncio.Lock()
|
||||
"""线程锁，保护并发访问"""
|
||||
|
||||
async def add_connection(
|
||||
self,
|
||||
websocket: typing.Any,
|
||||
pipeline_uuid: str,
|
||||
session_type: str,
|
||||
metadata: dict = None,
|
||||
) -> WebSocketConnection:
|
||||
"""添加新的WebSocket连接"""
|
||||
async with self._lock:
|
||||
connection = WebSocketConnection(
|
||||
pipeline_uuid=pipeline_uuid,
|
||||
session_type=session_type,
|
||||
websocket=websocket,
|
||||
metadata=metadata or {},
|
||||
)
|
||||
|
||||
self.connections[connection.connection_id] = connection
|
||||
|
||||
# 更新流水线映射
|
||||
if pipeline_uuid not in self.pipeline_connections:
|
||||
self.pipeline_connections[pipeline_uuid] = set()
|
||||
self.pipeline_connections[pipeline_uuid].add(connection.connection_id)
|
||||
|
||||
# 更新会话类型映射
|
||||
if session_type not in self.session_connections:
|
||||
self.session_connections[session_type] = set()
|
||||
self.session_connections[session_type].add(connection.connection_id)
|
||||
|
||||
logger.debug(
|
||||
f'WebSocket connection established: {connection.connection_id} '
|
||||
f'(pipeline={pipeline_uuid}, session_type={session_type})'
|
||||
)
|
||||
|
||||
return connection
|
||||
|
||||
async def remove_connection(self, connection_id: str):
|
||||
"""移除WebSocket连接"""
|
||||
async with self._lock:
|
||||
if connection_id not in self.connections:
|
||||
return
|
||||
|
||||
connection = self.connections[connection_id]
|
||||
connection.is_active = False
|
||||
|
||||
# 从流水线映射中移除
|
||||
if connection.pipeline_uuid in self.pipeline_connections:
|
||||
self.pipeline_connections[connection.pipeline_uuid].discard(connection_id)
|
||||
if not self.pipeline_connections[connection.pipeline_uuid]:
|
||||
del self.pipeline_connections[connection.pipeline_uuid]
|
||||
|
||||
# 从会话类型映射中移除
|
||||
if connection.session_type in self.session_connections:
|
||||
self.session_connections[connection.session_type].discard(connection_id)
|
||||
if not self.session_connections[connection.session_type]:
|
||||
del self.session_connections[connection.session_type]
|
||||
|
||||
del self.connections[connection_id]
|
||||
|
||||
logger.debug(f'WebSocket connection disconnected: {connection_id}')
|
||||
|
||||
async def get_connection(self, connection_id: str) -> typing.Optional[WebSocketConnection]:
|
||||
"""获取指定连接"""
|
||||
return self.connections.get(connection_id)
|
||||
|
||||
async def get_connections_by_pipeline(self, pipeline_uuid: str) -> list[WebSocketConnection]:
|
||||
"""获取指定流水线的所有连接"""
|
||||
connection_ids = self.pipeline_connections.get(pipeline_uuid, set())
|
||||
return [self.connections[cid] for cid in connection_ids if cid in self.connections]
|
||||
|
||||
async def get_connections_by_session_type(self, session_type: str) -> list[WebSocketConnection]:
|
||||
"""获取指定会话类型的所有连接"""
|
||||
connection_ids = self.session_connections.get(session_type, set())
|
||||
return [self.connections[cid] for cid in connection_ids if cid in self.connections]
|
||||
|
||||
async def broadcast_to_pipeline(self, pipeline_uuid: str, message: dict, session_type: str = None):
|
||||
"""向指定流水线的所有连接广播消息
|
||||
|
||||
Args:
|
||||
pipeline_uuid: 流水线UUID
|
||||
message: 要广播的消息
|
||||
session_type: 可选的会话类型过滤器，如果提供则只向匹配的session_type连接广播
|
||||
"""
|
||||
connections = await self.get_connections_by_pipeline(pipeline_uuid)
|
||||
|
||||
# 如果指定了session_type，只向匹配的连接广播
|
||||
if session_type is not None:
|
||||
connections = [conn for conn in connections if conn.session_type == session_type]
|
||||
|
||||
tasks = []
|
||||
for conn in connections:
|
||||
tasks.append(self.send_to_connection(conn.connection_id, message))
|
||||
if tasks:
|
||||
await asyncio.gather(*tasks, return_exceptions=True)
|
||||
|
||||
async def send_to_connection(self, connection_id: str, message: dict):
|
||||
"""向指定连接发送消息"""
|
||||
connection = await self.get_connection(connection_id)
|
||||
if not connection or not connection.is_active:
|
||||
logger.warning(f'Attempt to send message to invalid connection: {connection_id}')
|
||||
return
|
||||
|
||||
try:
|
||||
await connection.send_queue.put(message)
|
||||
connection.last_active = datetime.now()
|
||||
except Exception as e:
|
||||
logger.error(f'Failed to send message to connection {connection_id}: {e}')
|
||||
await self.remove_connection(connection_id)
|
||||
|
||||
async def update_activity(self, connection_id: str):
|
||||
"""更新连接活跃时间"""
|
||||
connection = await self.get_connection(connection_id)
|
||||
if connection:
|
||||
connection.last_active = datetime.now()
|
||||
|
||||
def get_stats(self) -> dict:
|
||||
"""获取连接统计信息"""
|
||||
return {
|
||||
'total_connections': len(self.connections),
|
||||
'pipelines': len(self.pipeline_connections),
|
||||
'connections_by_pipeline': {k: len(v) for k, v in self.pipeline_connections.items()},
|
||||
'connections_by_session_type': {k: len(v) for k, v in self.session_connections.items()},
|
||||
}
|
||||
|
||||
|
||||
# 全局连接管理器实例
|
||||
ws_connection_manager = WebSocketConnectionManager()
|
||||
Some files were not shown because too many files have changed in this diff Show More
Reference in New Issue
Block a user