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4 Commits

Author SHA1 Message Date
fdc310
60579f7b3a refactor(gewechat): remove redundant set_webhook_url and login logic
Remove the unnecessary set_webhook_url method and its caller in botmgr,
instead inject webhook_prefix via adapter config for self-assembly.
Remove login logic from run_async since login is handled elsewhere.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-22 06:15:16 +08:00
fdc310
c4d4c90930 fix: add set_webhook_url call in botmgr for auto callback URL
Pass webhook_full_url to adapters that implement set_webhook_url(),
built from api.webhook_prefix config + bot_uuid.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-22 05:57:32 +08:00
fdc310
1a3ef217d9 fix: resolve pydantic init error and auto-generate webhook callback URL
- Fix AttributeError by removing self.config assignment before super().__init__()
- Remove callback_base_url from adapter config (no longer needed)
- Add set_webhook_url() method, called by botmgr with auto-built URL
- Add gewechat to webhook URL display list in bot.py
- botmgr now passes webhook_prefix + bot_uuid to adapters via set_webhook_url()

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-22 05:52:50 +08:00
fdc310
6e9fcccd7d feat: migrate gewechat adapter to unified webhook architecture
Move gewechat adapter from legacy (self-hosted Quart server) to the
unified webhook entry point at /api/bots/{bot_uuid}. This removes the
need for a dedicated port and aligns with the modern adapter pattern.

Key changes:
- Add set_bot_uuid() and handle_unified_webhook() methods
- Remove self-hosted Quart server from run_async()
- Auto-generate callback URL from callback_base_url + bot_uuid
- Update constructor signature to (config, logger)
- Rename legacy gewechat.yaml to prevent name conflict

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-22 04:59:29 +08:00
352 changed files with 11138 additions and 37385 deletions

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@@ -1,5 +1,5 @@
name: 漏洞反馈
description: 【供中文用户】报错或漏洞请使用这个模板创建不使用此模板创建的异常、漏洞相关issue将被直接关闭。由于自己操作不当/不甚了解所用技术栈引起的网络连接问题恕无法解决,请勿提 issue。容器间网络连接问题参考文档 https://link.langbot.app/zh/docs/network
description: 【供中文用户】报错或漏洞请使用这个模板创建不使用此模板创建的异常、漏洞相关issue将被直接关闭。由于自己操作不当/不甚了解所用技术栈引起的网络连接问题恕无法解决,请勿提 issue。容器间网络连接问题参考文档 https://docs.langbot.app/zh/workshop/network-details.html
title: "[Bug]: "
labels: ["bug?"]
body:

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@@ -1,5 +1,5 @@
name: Bug report
description: Report bugs or vulnerabilities using this template. For container network connection issues, refer to the documentation https://link.langbot.app/en/docs/network
description: Report bugs or vulnerabilities using this template. For container network connection issues, refer to the documentation https://docs.langbot.app/en/workshop/network-details.html
title: "[Bug]: "
labels: ["bug?"]
body:

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@@ -43,10 +43,10 @@ jobs:
run: |
cd /tmp/langbot_build_web/web
npm install
npx vite build
npm run build
- name: Package Output
run: |
cp -r /tmp/langbot_build_web/web/dist ./web
cp -r /tmp/langbot_build_web/web/out ./web
- name: Upload Artifact
uses: actions/upload-artifact@v4
with:

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@@ -1,25 +0,0 @@
name: Check i18n Keys
on:
push:
branches:
- main
- master
jobs:
check-i18n:
name: Check i18n Key Consistency
runs-on: ubuntu-latest
permissions:
contents: read
steps:
- name: Checkout code
uses: actions/checkout@v4
- name: Setup Node.js
uses: actions/setup-node@v4
with:
node-version: '20'
- name: Check i18n keys against en-US reference
run: node web/scripts/check-i18n.mjs

View File

@@ -29,8 +29,8 @@ jobs:
npm install -g pnpm
pnpm install
pnpm build
mkdir -p ../src/langbot/web/dist
cp -r dist ../src/langbot/web/
mkdir -p ../src/langbot/web/out
cp -r out ../src/langbot/web/
- name: Install the latest version of uv
uses: astral-sh/setup-uv@v6

View File

@@ -1,171 +0,0 @@
name: Test Migrations
on:
push:
branches:
- main
- master
- dev
paths:
- 'src/langbot/pkg/persistence/**'
- 'src/langbot/pkg/entity/persistence/**'
pull_request:
types: [opened, synchronize, reopened, ready_for_review]
paths:
- 'src/langbot/pkg/persistence/**'
- 'src/langbot/pkg/entity/persistence/**'
jobs:
test-migrations-sqlite:
name: Migrations (SQLite)
runs-on: ubuntu-latest
steps:
- name: Checkout code
uses: actions/checkout@v4
- name: Set up Python
uses: actions/setup-python@v5
with:
python-version: '3.12'
- name: Install uv
uses: astral-sh/setup-uv@v4
- name: Install dependencies
run: uv sync --dev
- name: Test Alembic upgrade (SQLite)
run: |
uv run python -c "
import asyncio
from sqlalchemy.ext.asyncio import create_async_engine
from langbot.pkg.entity.persistence.base import Base
from langbot.pkg.persistence.alembic_runner import run_alembic_upgrade, run_alembic_stamp, get_alembic_current
async def main():
engine = create_async_engine('sqlite+aiosqlite:///test_migrations.db')
# Create all tables (simulates existing DB)
async with engine.begin() as conn:
await conn.run_sync(Base.metadata.create_all)
# Stamp baseline
await run_alembic_stamp(engine, '0001_baseline')
rev = await get_alembic_current(engine)
assert rev == '0001_baseline', f'Expected 0001_baseline, got {rev}'
print(f'Stamped: {rev}')
# Upgrade to head
await run_alembic_upgrade(engine, 'head')
rev = await get_alembic_current(engine)
print(f'After upgrade: {rev}')
assert rev is not None, 'Expected a revision after upgrade'
# Verify idempotent
await run_alembic_upgrade(engine, 'head')
rev2 = await get_alembic_current(engine)
assert rev2 == rev, f'Expected {rev}, got {rev2}'
print(f'Idempotent check passed: {rev2}')
# Fresh DB: upgrade from scratch
engine2 = create_async_engine('sqlite+aiosqlite:///test_migrations_fresh.db')
async with engine2.begin() as conn:
await conn.run_sync(Base.metadata.create_all)
await run_alembic_upgrade(engine2, 'head')
rev3 = await get_alembic_current(engine2)
print(f'Fresh DB upgrade: {rev3}')
assert rev3 is not None
print('All SQLite migration tests passed!')
asyncio.run(main())
"
test-migrations-postgres:
name: Migrations (PostgreSQL)
runs-on: ubuntu-latest
services:
postgres:
image: postgres:16
env:
POSTGRES_USER: langbot
POSTGRES_PASSWORD: langbot
POSTGRES_DB: langbot_test
ports:
- 5432:5432
options: >-
--health-cmd="pg_isready -U langbot"
--health-interval=5s
--health-timeout=5s
--health-retries=5
steps:
- name: Checkout code
uses: actions/checkout@v4
- name: Set up Python
uses: actions/setup-python@v5
with:
python-version: '3.12'
- name: Install uv
uses: astral-sh/setup-uv@v4
- name: Install dependencies
run: uv sync --dev
- name: Test Alembic upgrade (PostgreSQL)
run: |
uv run python -c "
import asyncio
from sqlalchemy.ext.asyncio import create_async_engine
from langbot.pkg.entity.persistence.base import Base
from langbot.pkg.persistence.alembic_runner import run_alembic_upgrade, run_alembic_stamp, get_alembic_current
DB_URL = 'postgresql+asyncpg://langbot:langbot@localhost:5432/langbot_test'
async def main():
engine = create_async_engine(DB_URL)
# Create all tables
async with engine.begin() as conn:
await conn.run_sync(Base.metadata.create_all)
# Stamp baseline
await run_alembic_stamp(engine, '0001_baseline')
rev = await get_alembic_current(engine)
assert rev == '0001_baseline', f'Expected 0001_baseline, got {rev}'
print(f'Stamped: {rev}')
# Upgrade to head
await run_alembic_upgrade(engine, 'head')
rev = await get_alembic_current(engine)
print(f'After upgrade: {rev}')
assert rev is not None
# Verify idempotent
await run_alembic_upgrade(engine, 'head')
rev2 = await get_alembic_current(engine)
assert rev2 == rev, f'Expected {rev}, got {rev2}'
print(f'Idempotent check passed: {rev2}')
# Fresh DB: drop all and upgrade from scratch
engine2 = create_async_engine(DB_URL.replace('langbot_test', 'langbot_fresh'))
# Create fresh database
from sqlalchemy import text
async with engine.connect() as conn:
await conn.execute(text('COMMIT'))
await conn.execute(text('CREATE DATABASE langbot_fresh'))
async with engine2.begin() as conn:
await conn.run_sync(Base.metadata.create_all)
await run_alembic_upgrade(engine2, 'head')
rev3 = await get_alembic_current(engine2)
print(f'Fresh DB upgrade: {rev3}')
assert rev3 is not None
print('All PostgreSQL migration tests passed!')
asyncio.run(main())
"

4
.gitignore vendored
View File

@@ -47,12 +47,8 @@ plugins.bak
coverage.xml
.coverage
src/langbot/web/
testsdk/
# Build artifacts
/dist
/build
*.egg-info
# Next.js build cache (legacy)
web/.next/

View File

@@ -9,14 +9,16 @@ repos:
# Run the formatter of backend.
- id: ruff-format
- repo: local
- repo: https://github.com/pre-commit/mirrors-prettier
rev: v3.1.0
hooks:
- id: prettier
name: prettier
entry: npx --prefix web prettier --write --ignore-unknown
language: system
types_or: [javascript, jsx, ts, tsx, css, scss]
additional_dependencies:
- prettier@3.1.0
- repo: local
hooks:
- id: lint-staged
name: lint-staged
entry: cd web && pnpm lint-staged

View File

@@ -70,7 +70,7 @@ Plugin Runtime automatically starts each installed plugin and interacts through
- type: must be a specific type, such as feat (new feature), fix (bug fix), docs (documentation), style (code style), refactor (refactoring), perf (performance optimization), etc.
- scope: the scope of the commit, such as the package name, the file name, the function name, the class name, the module name, etc.
- subject: the subject of the commit, such as the description of the commit, the reason for the commit, the impact of the commit, etc.
- LangBot uses [Alembic](https://alembic.sqlalchemy.org/) to manage database migrations, supporting both SQLite and PostgreSQL. Migration files are located in `src/langbot/pkg/persistence/alembic/versions/`. If you changed the definition of database entities (ORM models), generate a new migration script by running `uv run python -m langbot.pkg.persistence.alembic_runner autogenerate "description of your change"` in the project root (requires `data/config.yaml` to exist). Review and edit the generated script before committing. Migrations are executed automatically on LangBot startup. For data migrations (e.g. modifying JSON field content), you need to manually add the migration code in the generated script.
- If you changed the definition of database entities, please update the migration file in `src/langbot/pkg/persistence/migrations/` and update the constants.py file in `src/langbot/pkg/utils/constants.py` with the new migration number.
## Some Principles

View File

@@ -4,7 +4,7 @@ WORKDIR /app
COPY web ./web
RUN cd web && npm install && npx vite build
RUN cd web && npm install && npm run build
FROM python:3.12.7-slim
@@ -12,7 +12,7 @@ WORKDIR /app
COPY . .
COPY --from=node /app/web/dist ./web/dist
COPY --from=node /app/web/out ./web/out
RUN apt update \
&& apt install gcc -y \

View File

@@ -19,9 +19,9 @@ English / [简体中文](README_CN.md) / [繁體中文](README_TW.md) / [日本
[![GitHub stars](https://img.shields.io/github/stars/langbot-app/LangBot?style=social)](https://github.com/langbot-app/LangBot/stargazers)
<a href="https://langbot.app">Website</a>
<a href="https://link.langbot.app/en/docs/features">Features</a>
<a href="https://link.langbot.app/en/docs/guide">Docs</a>
<a href="https://link.langbot.app/en/docs/api">API</a>
<a href="https://docs.langbot.app/en/insight/features">Features</a>
<a href="https://docs.langbot.app/en/insight/guide">Docs</a>
<a href="https://docs.langbot.app/en/tags/readme">API</a>
<a href="https://space.langbot.app/cloud">Cloud</a>
<a href="https://space.langbot.app">Plugin Market</a>
<a href="https://langbot.featurebase.app/roadmap">Roadmap</a>
@@ -45,7 +45,7 @@ LangBot is an **open-source, production-grade platform** for building AI-powered
- **Web Management Panel** — Configure, manage, and monitor your bots through an intuitive browser interface. No YAML editing required.
- **Multi-Pipeline Architecture** — Different bots for different scenarios, with comprehensive monitoring and exception handling.
[→ Learn more about all features](https://link.langbot.app/en/docs/features)
[→ Learn more about all features](https://docs.langbot.app/en/insight/features)
---
@@ -76,7 +76,7 @@ docker compose up -d
[![Deploy on Zeabur](https://zeabur.com/button.svg)](https://zeabur.com/en-US/templates/ZKTBDH)
[![Deploy on Railway](https://railway.com/button.svg)](https://railway.app/template/yRrAyL?referralCode=vogKPF)
**More options:** [Docker](https://link.langbot.app/en/docs/docker) · [Manual](https://link.langbot.app/en/docs/manual-deploy) · [BTPanel](https://link.langbot.app/en/docs/bt-panel) · [Kubernetes](./docker/README_K8S.md)
**More options:** [Docker](https://docs.langbot.app/en/deploy/langbot/docker) · [Manual](https://docs.langbot.app/en/deploy/langbot/manual) · [BTPanel](https://docs.langbot.app/en/deploy/langbot/one-click/bt) · [Kubernetes](./docker/README_K8S.md)
---
@@ -84,72 +84,68 @@ docker compose up -d
| Platform | Status | Notes |
|----------|--------|-------|
| Discord | ✅ | Official |
| Telegram | ✅ | Official |
| Slack | ✅ | Official |
| LINE | ✅ | Official |
| QQ | ✅ | Personal & Official API (Channel, DM, Group) |
| Discord | ✅ | |
| Telegram | ✅ | |
| Slack | ✅ | |
| LINE | ✅ | |
| QQ | ✅ | Personal & Official API |
| WeCom | ✅ | Enterprise WeChat, External CS, AI Bot |
| WeChat | ✅ | Personal & Official Account |
| Lark | ✅ | Official |
| DingTalk | ✅ | Official |
| KOOK | ✅ | Official |
| Lark | ✅ | |
| DingTalk | ✅ | |
| KOOK | ✅ | |
| Satori | ✅ | |
| Email | ✅ | Matrix, Satori |
| Matrix | ✅ | Supports multiple bridged platforms such as Signal, WhatsApp, Messenger, iMessage, Mattermost, Google Chat, IRC, XMPP, Zulip, and more |
---
## Supported LLMs & Integrations
| Provider | Type | Status |
| ----------------------------------------------------------------------------------------------------------------- | ------------ | ------ |
| [OpenAI](https://platform.openai.com/) | LLM | ✅ |
| [Anthropic](https://www.anthropic.com/) | LLM | ✅ |
| [DeepSeek](https://www.deepseek.com/) | LLM | ✅ |
| [Google Gemini](https://aistudio.google.com/prompts/new_chat) | LLM | ✅ |
| [xAI](https://x.ai/) | LLM | ✅ |
| [Moonshot](https://www.moonshot.cn/) | LLM | ✅ |
| [Zhipu AI](https://open.bigmodel.cn/) | LLM | ✅ |
| [Ollama](https://ollama.com/) | Local LLM | ✅ |
| [LM Studio](https://lmstudio.ai/) | Local LLM | ✅ |
| [Dify](https://dify.ai) | LLMOps | ✅ |
| [MCP](https://modelcontextprotocol.io/) | Protocol | ✅ |
| [SiliconFlow](https://siliconflow.cn/) | Gateway | ✅ |
| [Aliyun Bailian](https://bailian.console.aliyun.com/) | Gateway | ✅ |
| [Volc Engine Ark](https://console.volcengine.com/ark/region:ark+cn-beijing/model?vendor=Bytedance&view=LIST_VIEW) | Gateway | ✅ |
| [ModelScope](https://modelscope.cn/docs/model-service/API-Inference/intro) | Gateway | ✅ |
| [GiteeAI](https://ai.gitee.com/) | Gateway | ✅ |
| [CompShare](https://www.compshare.cn/?ytag=GPU_YY-gh_langbot) | GPU Platform | ✅ |
| [PPIO](https://ppinfra.com/user/register?invited_by=QJKFYD&utm_source=github_langbot) | GPU Platform | ✅ |
| [ShengSuanYun](https://www.shengsuanyun.com/?from=CH_KYIPP758) | GPU Platform | ✅ |
| [接口 AI](https://jiekou.ai/) | Gateway | ✅ |
| [302.AI](https://share.302.ai/SuTG99) | Gateway | ✅ |
| [Qiniu](https://www.qiniu.com/ai/agent) | Gateway | ✅ |
| Provider | Type | Status |
|----------|------|--------|
| [OpenAI](https://platform.openai.com/) | LLM | ✅ |
| [Anthropic](https://www.anthropic.com/) | LLM | ✅ |
| [DeepSeek](https://www.deepseek.com/) | LLM | ✅ |
| [Google Gemini](https://aistudio.google.com/prompts/new_chat) | LLM | ✅ |
| [xAI](https://x.ai/) | LLM | ✅ |
| [Moonshot](https://www.moonshot.cn/) | LLM | ✅ |
| [Zhipu AI](https://open.bigmodel.cn/) | LLM | ✅ |
| [Ollama](https://ollama.com/) | Local LLM | ✅ |
| [LM Studio](https://lmstudio.ai/) | Local LLM | ✅ |
| [Dify](https://dify.ai) | LLMOps | ✅ |
| [MCP](https://modelcontextprotocol.io/) | Protocol | ✅ |
| [SiliconFlow](https://siliconflow.cn/) | Gateway | ✅ |
| [Aliyun Bailian](https://bailian.console.aliyun.com/) | Gateway | ✅ |
| [Volc Engine Ark](https://console.volcengine.com/ark/region:ark+cn-beijing/model?vendor=Bytedance&view=LIST_VIEW) | Gateway | ✅ |
| [ModelScope](https://modelscope.cn/docs/model-service/API-Inference/intro) | Gateway | ✅ |
| [GiteeAI](https://ai.gitee.com/) | Gateway | ✅ |
| [CompShare](https://www.compshare.cn/?ytag=GPU_YY-gh_langbot) | GPU Platform | ✅ |
| [PPIO](https://ppinfra.com/user/register?invited_by=QJKFYD&utm_source=github_langbot) | GPU Platform | ✅ |
| [ShengSuanYun](https://www.shengsuanyun.com/?from=CH_KYIPP758) | GPU Platform | ✅ |
| [接口 AI](https://jiekou.ai/) | Gateway | ✅ |
| [302.AI](https://share.302.ai/SuTG99) | Gateway | ✅ |
[→ View all integrations](https://link.langbot.app/en/docs/features)
[→ View all integrations](https://docs.langbot.app/en/insight/features)
---
## Why LangBot?
| Use Case | How LangBot Helps |
| --------------------------- | ------------------------------------------------------------------------------------------ |
| **Customer Support** | Deploy AI agents to Slack/Discord/Telegram that answer questions using your knowledge base |
| **Internal Tools** | Connect n8n/Dify workflows to WeCom/DingTalk for automated business processes |
| **Community Management** | Moderate QQ/Discord groups with AI-powered content filtering and interaction |
| **Multi-Platform Presence** | One bot, all platforms. Manage from a single dashboard |
| Use Case | How LangBot Helps |
|----------|-------------------|
| **Customer Support** | Deploy AI agents to Slack/Discord/Telegram that answer questions using your knowledge base |
| **Internal Tools** | Connect n8n/Dify workflows to WeCom/DingTalk for automated business processes |
| **Community Management** | Moderate QQ/Discord groups with AI-powered content filtering and interaction |
| **Multi-Platform Presence** | One bot, all platforms. Manage from a single dashboard |
---
## Live Demo
**Try it now:** https://demo.langbot.dev/
- Email: `demo@langbot.app`
- Password: `langbot123456`
_Note: Public demo environment. Do not enter sensitive information._
*Note: Public demo environment. Do not enter sensitive information.*
---

View File

@@ -21,9 +21,9 @@
[![star](https://gitcode.com/RockChinQ/LangBot/star/badge.svg)](https://gitcode.com/RockChinQ/LangBot)
<a href="https://langbot.app">官网</a>
<a href="https://link.langbot.app/zh/docs/features">特性</a>
<a href="https://link.langbot.app/zh/docs/guide">文档</a>
<a href="https://link.langbot.app/zh/docs/api">API</a>
<a href="https://docs.langbot.app/zh/insight/features.html">特性</a>
<a href="https://docs.langbot.app/zh/insight/guide.html">文档</a>
<a href="https://docs.langbot.app/zh/tags/readme.html">API</a>
<a href="https://space.langbot.app/cloud">Cloud</a>
<a href="https://space.langbot.app">插件市场</a>
<a href="https://langbot.featurebase.app/roadmap">路线图</a>
@@ -34,6 +34,8 @@
---
## 什么是 LangBot
LangBot 是一个**开源的生产级平台**,用于构建 AI 驱动的即时通信机器人。它将大语言模型LLM连接到各种聊天平台帮助你创建能够对话、执行任务、并集成到现有工作流程中的智能 Agent。
### 核心能力
@@ -41,11 +43,11 @@ LangBot 是一个**开源的生产级平台**,用于构建 AI 驱动的即时
- **AI 对话与 Agent** — 多轮对话、工具调用、多模态、流式输出。自带 RAG知识库深度集成 [Dify](https://dify.ai)、[Coze](https://coze.com)、[n8n](https://n8n.io)、[Langflow](https://langflow.org) 等 LLMOps 平台。
- **全平台支持** — 一套代码,覆盖 QQ、微信、企业微信、飞书、钉钉、Discord、Telegram、Slack、LINE、KOOK 等平台。
- **生产就绪** — 访问控制、限速、敏感词过滤、全面监控与异常处理,已被多家企业采用。
- **插件生态** — 数百个插件,跨进程的事件驱动架构,组件扩展,适配 [MCP 协议](https://modelcontextprotocol.io/)。
- **插件生态** — 数百个插件,事件驱动架构,组件扩展,适配 [MCP 协议](https://modelcontextprotocol.io/)。
- **Web 管理面板** — 通过浏览器直观地配置、管理和监控机器人,无需手动编辑配置文件。
- **多流水线架构** — 不同机器人用于不同场景,具备全面的监控和异常处理能力。
[→ 了解更多功能特性](https://link.langbot.app/zh/docs/features)
[→ 了解更多功能特性](https://docs.langbot.app/zh/insight/features.html)
---
@@ -76,7 +78,7 @@ docker compose up -d
[![Deploy on Zeabur](https://zeabur.com/button.svg)](https://zeabur.com/zh-CN/templates/ZKTBDH)
[![Deploy on Railway](https://railway.com/button.svg)](https://railway.app/template/yRrAyL?referralCode=vogKPF)
**更多方式:** [Docker](https://link.langbot.app/zh/docs/docker) · [手动部署](https://link.langbot.app/zh/docs/manual-deploy) · [宝塔面板](https://link.langbot.app/zh/docs/bt-panel) · [Kubernetes](./docker/README_K8S.md)
**更多方式:** [Docker](https://docs.langbot.app/zh/deploy/langbot/docker.html) · [手动部署](https://docs.langbot.app/zh/deploy/langbot/manual.html) · [宝塔面板](https://docs.langbot.app/zh/deploy/langbot/one-click/bt.html) · [Kubernetes](./docker/README_K8S.md)
---
@@ -87,16 +89,13 @@ docker compose up -d
| QQ | ✅ | 个人号、官方机器人(频道、私聊、群聊) |
| 微信 | ✅ | 个人微信、微信公众号 |
| 企业微信 | ✅ | 应用消息、对外客服、智能机器人 |
| 飞书 | ✅ | 官方 |
| 钉钉 | ✅ | 官方 |
| Satori | ✅ | |
| Discord | ✅ | 官方 |
| Telegram | ✅ | 官方 |
| Slack | ✅ | 官方 |
| LINE | ✅ | 官方 |
| KOOK | ✅ | 官方 |
| Email | ✅ | 只 Matrix、Satori |
| Matrix | ✅ | 支持多种桥接平台,如 Signal、WhatsApp、Messenger、iMessage、Mattermost、Google Chat、IRC、XMPP、Zulip 等 |
| 飞书 | ✅ | |
| 钉钉 | ✅ | |
| Discord | ✅ | |
| Telegram | ✅ | |
| Slack | ✅ | |
| LINE | ✅ | |
| KOOK | ✅ | |
---
@@ -127,9 +126,8 @@ docker compose up -d
| [302.AI](https://share.302.ai/SuTG99) | 聚合平台 | ✅ |
| [小马算力](https://www.tokenpony.cn/453z1) | 聚合平台 | ✅ |
| [百宝箱Tbox](https://www.tbox.cn/open) | 智能体平台 | ✅ |
| [七牛云Qiniu](https://www.qiniu.com/ai/agent) | 聚合平台 | ✅ |
[→ 查看完整集成列表](https://link.langbot.app/zh/docs/features)
[→ 查看完整集成列表](https://docs.langbot.app/zh/insight/features.html)
### TTS语音合成

View File

@@ -19,9 +19,9 @@
[![GitHub stars](https://img.shields.io/github/stars/langbot-app/LangBot?style=social)](https://github.com/langbot-app/LangBot/stargazers)
<a href="https://langbot.app">Inicio</a>
<a href="https://link.langbot.app/en/docs/features">Características</a>
<a href="https://link.langbot.app/en/docs/guide">Documentación</a>
<a href="https://link.langbot.app/en/docs/api">API</a>
<a href="https://docs.langbot.app/en/insight/features.html">Características</a>
<a href="https://docs.langbot.app/en/insight/guide.html">Documentación</a>
<a href="https://docs.langbot.app/en/tags/readme.html">API</a>
<a href="https://space.langbot.app">Mercado de Plugins</a>
<a href="https://langbot.featurebase.app/roadmap">Hoja de Ruta</a>
@@ -44,7 +44,7 @@ LangBot es una **plataforma de código abierto y grado de producción** para con
- **Panel de Gestión Web** — Configure, gestione y monitoree sus bots a través de una interfaz de navegador intuitiva. Sin necesidad de editar YAML.
- **Arquitectura Multi-Pipeline** — Diferentes bots para diferentes escenarios, con monitoreo completo y manejo de excepciones.
[→ Conocer más sobre todas las funcionalidades](https://link.langbot.app/en/docs/features)
[→ Conocer más sobre todas las funcionalidades](https://docs.langbot.app/en/insight/features.html)
---
@@ -75,7 +75,7 @@ docker compose up -d
[![Deploy on Zeabur](https://zeabur.com/button.svg)](https://zeabur.com/en-US/templates/ZKTBDH)
[![Deploy on Railway](https://railway.com/button.svg)](https://railway.app/template/yRrAyL?referralCode=vogKPF)
**Más opciones:** [Docker](https://link.langbot.app/en/docs/docker) · [Manual](https://link.langbot.app/en/docs/manual-deploy) · [BTPanel](https://link.langbot.app/en/docs/bt-panel) · [Kubernetes](./docker/README_K8S.md)
**Más opciones:** [Docker](https://docs.langbot.app/en/deploy/langbot/docker.html) · [Manual](https://docs.langbot.app/en/deploy/langbot/manual.html) · [BTPanel](https://docs.langbot.app/en/deploy/langbot/one-click/bt.html) · [Kubernetes](./docker/README_K8S.md)
---
@@ -83,19 +83,17 @@ docker compose up -d
| Plataforma | Estado | Notas |
|----------|--------|-------|
| Discord | ✅ | Oficial |
| Telegram | ✅ | Oficial |
| Slack | ✅ | Oficial |
| LINE | ✅ | Oficial |
| QQ | ✅ | Personal y API Oficial (Canal, DM, Grupo) |
| Discord | ✅ | |
| Telegram | ✅ | |
| Slack | ✅ | |
| LINE | ✅ | |
| QQ | ✅ | Personal y API Oficial |
| WeCom | ✅ | WeChat Empresarial, CS Externo, AI Bot |
| WeChat | ✅ | Personal y Cuenta Oficial |
| Lark | ✅ | Oficial |
| DingTalk | ✅ | Oficial |
| KOOK | ✅ | Oficial |
| Lark | ✅ | |
| DingTalk | ✅ | |
| KOOK | ✅ | |
| Satori | ✅ | |
| Email | ✅ | Matrix, Satori |
| Matrix | ✅ | Admite varias plataformas puenteadas como Signal, WhatsApp, Messenger, iMessage, Mattermost, Google Chat, IRC, XMPP, Zulip y más |
---
@@ -124,9 +122,8 @@ docker compose up -d
| [ShengSuanYun](https://www.shengsuanyun.com/?from=CH_KYIPP758) | Plataforma GPU | ✅ |
| [接口 AI](https://jiekou.ai/) | Pasarela | ✅ |
| [302.AI](https://share.302.ai/SuTG99) | Pasarela | ✅ |
| [Qiniu](https://www.qiniu.com/ai/agent) | Pasarela | ✅ |
[→ Ver todas las integraciones](https://link.langbot.app/en/docs/features)
[→ Ver todas las integraciones](https://docs.langbot.app/en/insight/features.html)
---

View File

@@ -19,9 +19,9 @@
[![GitHub stars](https://img.shields.io/github/stars/langbot-app/LangBot?style=social)](https://github.com/langbot-app/LangBot/stargazers)
<a href="https://langbot.app">Accueil</a>
<a href="https://link.langbot.app/en/docs/features">Fonctionnalités</a>
<a href="https://link.langbot.app/en/docs/guide">Documentation</a>
<a href="https://link.langbot.app/en/docs/api">API</a>
<a href="https://docs.langbot.app/en/insight/features.html">Fonctionnalités</a>
<a href="https://docs.langbot.app/en/insight/guide.html">Documentation</a>
<a href="https://docs.langbot.app/en/tags/readme.html">API</a>
<a href="https://space.langbot.app">Marché des Plugins</a>
<a href="https://langbot.featurebase.app/roadmap">Feuille de Route</a>
@@ -44,7 +44,7 @@ LangBot est une **plateforme open-source de niveau production** pour créer des
- **Panneau de Gestion Web** — Configurez, gérez et surveillez vos bots via une interface navigateur intuitive. Aucune édition de YAML requise.
- **Architecture Multi-Pipeline** — Différents bots pour différents scénarios, avec surveillance complète et gestion des exceptions.
[→ En savoir plus sur toutes les fonctionnalités](https://link.langbot.app/en/docs/features)
[→ En savoir plus sur toutes les fonctionnalités](https://docs.langbot.app/en/insight/features.html)
---
@@ -75,7 +75,7 @@ docker compose up -d
[![Deploy on Zeabur](https://zeabur.com/button.svg)](https://zeabur.com/en-US/templates/ZKTBDH)
[![Deploy on Railway](https://railway.com/button.svg)](https://railway.app/template/yRrAyL?referralCode=vogKPF)
**Plus d'options :** [Docker](https://link.langbot.app/en/docs/docker) · [Manuel](https://link.langbot.app/en/docs/manual-deploy) · [BTPanel](https://link.langbot.app/en/docs/bt-panel) · [Kubernetes](./docker/README_K8S.md)
**Plus d'options :** [Docker](https://docs.langbot.app/en/deploy/langbot/docker.html) · [Manuel](https://docs.langbot.app/en/deploy/langbot/manual.html) · [BTPanel](https://docs.langbot.app/en/deploy/langbot/one-click/bt.html) · [Kubernetes](./docker/README_K8S.md)
---
@@ -83,19 +83,17 @@ docker compose up -d
| Plateforme | Statut | Notes |
|----------|--------|-------|
| Discord | ✅ | Officiel |
| Telegram | ✅ | Officiel |
| Slack | ✅ | Officiel |
| LINE | ✅ | Officiel |
| QQ | ✅ | Personnel & API Officielle (Canal, DM, Groupe) |
| Discord | ✅ | |
| Telegram | ✅ | |
| Slack | ✅ | |
| LINE | ✅ | |
| QQ | ✅ | Personnel & API Officielle |
| WeCom | ✅ | WeChat Entreprise, CS Externe, AI Bot |
| WeChat | ✅ | Personnel & Compte Officiel |
| Lark | ✅ | Officiel |
| DingTalk | ✅ | Officiel |
| KOOK | ✅ | Officiel |
| Lark | ✅ | |
| DingTalk | ✅ | |
| KOOK | ✅ | |
| Satori | ✅ | |
| Email | ✅ | Matrix, Satori |
| Matrix | ✅ | Prend en charge plusieurs plateformes via ponts, comme Signal, WhatsApp, Messenger, iMessage, Mattermost, Google Chat, IRC, XMPP, Zulip, etc. |
---
@@ -124,9 +122,8 @@ docker compose up -d
| [CompShare](https://www.compshare.cn/?ytag=GPU_YY-gh_langbot) | Plateforme GPU | ✅ |
| [PPIO](https://ppinfra.com/user/register?invited_by=QJKFYD&utm_source=github_langbot) | Plateforme GPU | ✅ |
| [ShengSuanYun](https://www.shengsuanyun.com/?from=CH_KYIPP758) | Plateforme GPU | ✅ |
| [Qiniu](https://www.qiniu.com/ai/agent) | Passerelle | ✅ |
[→ Voir toutes les intégrations](https://link.langbot.app/en/docs/features)
[→ Voir toutes les intégrations](https://docs.langbot.app/en/insight/features.html)
---

View File

@@ -19,9 +19,9 @@
[![GitHub stars](https://img.shields.io/github/stars/langbot-app/LangBot?style=social)](https://github.com/langbot-app/LangBot/stargazers)
<a href="https://langbot.app">ホーム</a>
<a href="https://link.langbot.app/ja/docs/features">機能</a>
<a href="https://link.langbot.app/ja/docs/guide">ドキュメント</a>
<a href="https://link.langbot.app/ja/docs/api">API</a>
<a href="https://docs.langbot.app/ja/insight/features.html">機能</a>
<a href="https://docs.langbot.app/ja/insight/guide.html">ドキュメント</a>
<a href="https://docs.langbot.app/ja/tags/readme.html">API</a>
<a href="https://space.langbot.app">プラグインマーケット</a>
<a href="https://langbot.featurebase.app/roadmap">ロードマップ</a>
@@ -44,7 +44,7 @@ LangBot は、AI搭載のインスタントメッセージングボットを構
- **Web管理パネル** — 直感的なブラウザインターフェースからボットの設定、管理、監視が可能。YAML編集は不要。
- **マルチパイプラインアーキテクチャ** — 異なるシナリオに異なるボットを配置し、包括的な監視と例外処理を実現。
[→ すべての機能について詳しく見る](https://link.langbot.app/ja/docs/features)
[→ すべての機能について詳しく見る](https://docs.langbot.app/ja/insight/features.html)
---
@@ -75,7 +75,7 @@ docker compose up -d
[![Deploy on Zeabur](https://zeabur.com/button.svg)](https://zeabur.com/en-US/templates/ZKTBDH)
[![Deploy on Railway](https://railway.com/button.svg)](https://railway.app/template/yRrAyL?referralCode=vogKPF)
**その他:** [Docker](https://link.langbot.app/en/docs/docker) · [手動デプロイ](https://link.langbot.app/en/docs/manual-deploy) · [BTPanel](https://link.langbot.app/en/docs/bt-panel) · [Kubernetes](./docker/README_K8S.md)
**その他:** [Docker](https://docs.langbot.app/en/deploy/langbot/docker.html) · [手動デプロイ](https://docs.langbot.app/en/deploy/langbot/manual.html) · [BTPanel](https://docs.langbot.app/en/deploy/langbot/one-click/bt.html) · [Kubernetes](./docker/README_K8S.md)
---
@@ -83,19 +83,17 @@ docker compose up -d
| プラットフォーム | ステータス | 備考 |
|----------|--------|-------|
| Discord | ✅ | 公式 |
| Telegram | ✅ | 公式 |
| Slack | ✅ | 公式 |
| LINE | ✅ | 公式 |
| QQ | ✅ | 個人公式APIチャンネル・DM・グループ |
| Discord | ✅ | |
| Telegram | ✅ | |
| Slack | ✅ | |
| LINE | ✅ | |
| QQ | ✅ | 個人 & 公式API |
| WeCom | ✅ | 企業WeChat、外部CS、AIボット |
| WeChat | ✅ | 個人公式アカウント |
| Lark | ✅ | 公式 |
| DingTalk | ✅ | 公式 |
| KOOK | ✅ | 公式 |
| WeChat | ✅ | 個人 & 公式アカウント |
| Lark | ✅ | |
| DingTalk | ✅ | |
| KOOK | ✅ | |
| Satori | ✅ | |
| Email | ✅ | Matrix、Satori |
| Matrix | ✅ | Signal、WhatsApp、Messenger、iMessage、Mattermost、Google Chat、IRC、XMPP、Zulip など複数のブリッジ先プラットフォームに対応 |
---
@@ -124,9 +122,8 @@ docker compose up -d
| [ShengSuanYun](https://www.shengsuanyun.com/?from=CH_KYIPP758) | GPUプラットフォーム | ✅ |
| [接口 AI](https://jiekou.ai/) | ゲートウェイ | ✅ |
| [302.AI](https://share.302.ai/SuTG99) | ゲートウェイ | ✅ |
| [Qiniu](https://www.qiniu.com/ai/agent) | ゲートウェイ | ✅ |
[→ すべての統合を表示](https://link.langbot.app/en/docs/features)
[→ すべての統合を表示](https://docs.langbot.app/en/insight/features.html)
---

View File

@@ -19,9 +19,9 @@
[![GitHub stars](https://img.shields.io/github/stars/langbot-app/LangBot?style=social)](https://github.com/langbot-app/LangBot/stargazers)
<a href="https://langbot.app">홈</a>
<a href="https://link.langbot.app/en/docs/features">기능</a>
<a href="https://link.langbot.app/en/docs/guide">문서</a>
<a href="https://link.langbot.app/en/docs/api">API</a>
<a href="https://docs.langbot.app/en/insight/features.html">기능</a>
<a href="https://docs.langbot.app/en/insight/guide.html">문서</a>
<a href="https://docs.langbot.app/en/tags/readme.html">API</a>
<a href="https://space.langbot.app">플러그인 마켓</a>
<a href="https://langbot.featurebase.app/roadmap">로드맵</a>
@@ -44,7 +44,7 @@ LangBot은 AI 기반 인스턴트 메시징 봇을 구축하기 위한 **오픈
- **웹 관리 패널** — 직관적인 브라우저 인터페이스로 봇을 구성, 관리 및 모니터링. YAML 편집 불필요.
- **멀티 파이프라인 아키텍처** — 다양한 시나리오에 맞는 다양한 봇 구성, 종합 모니터링 및 예외 처리.
[→ 모든 기능 자세히 보기](https://link.langbot.app/en/docs/features)
[→ 모든 기능 자세히 보기](https://docs.langbot.app/en/insight/features.html)
---
@@ -75,7 +75,7 @@ docker compose up -d
[![Deploy on Zeabur](https://zeabur.com/button.svg)](https://zeabur.com/en-US/templates/ZKTBDH)
[![Deploy on Railway](https://railway.com/button.svg)](https://railway.app/template/yRrAyL?referralCode=vogKPF)
**더 많은 옵션:** [Docker](https://link.langbot.app/en/docs/docker) · [수동 배포](https://link.langbot.app/en/docs/manual-deploy) · [BTPanel](https://link.langbot.app/en/docs/bt-panel) · [Kubernetes](./docker/README_K8S.md)
**더 많은 옵션:** [Docker](https://docs.langbot.app/en/deploy/langbot/docker.html) · [수동 배포](https://docs.langbot.app/en/deploy/langbot/manual.html) · [BTPanel](https://docs.langbot.app/en/deploy/langbot/one-click/bt.html) · [Kubernetes](./docker/README_K8S.md)
---
@@ -83,19 +83,17 @@ docker compose up -d
| 플랫폼 | 상태 | 비고 |
|--------|------|------|
| Discord | ✅ | 공식 |
| Telegram | ✅ | 공식 |
| Slack | ✅ | 공식 |
| LINE | ✅ | 공식 |
| QQ | ✅ | 개인 및 공식 API (채널, DM, 그룹) |
| Discord | ✅ | |
| Telegram | ✅ | |
| Slack | ✅ | |
| LINE | ✅ | |
| QQ | ✅ | 개인 및 공식 API |
| WeCom | ✅ | 기업 WeChat, 외부 CS, AI Bot |
| WeChat | ✅ | 개인 및 공식 계정 |
| Lark | ✅ | 공식 |
| DingTalk | ✅ | 공식 |
| KOOK | ✅ | 공식 |
| Lark | ✅ | |
| DingTalk | ✅ | |
| KOOK | ✅ | |
| Satori | ✅ | |
| Email | ✅ | Matrix, Satori |
| Matrix | ✅ | Signal, WhatsApp, Messenger, iMessage, Mattermost, Google Chat, IRC, XMPP, Zulip 등 여러 브리지 플랫폼 지원 |
---
@@ -124,9 +122,8 @@ docker compose up -d
| [ShengSuanYun](https://www.shengsuanyun.com/?from=CH_KYIPP758) | GPU 플랫폼 | ✅ |
| [接口 AI](https://jiekou.ai/) | 게이트웨이 | ✅ |
| [302.AI](https://share.302.ai/SuTG99) | 게이트웨이 | ✅ |
| [Qiniu](https://www.qiniu.com/ai/agent) | 게이트웨이 | ✅ |
[→ 모든 통합 보기](https://link.langbot.app/en/docs/features)
[→ 모든 통합 보기](https://docs.langbot.app/en/insight/features.html)
---

View File

@@ -19,9 +19,9 @@
[![GitHub stars](https://img.shields.io/github/stars/langbot-app/LangBot?style=social)](https://github.com/langbot-app/LangBot/stargazers)
<a href="https://langbot.app">Главная</a>
<a href="https://link.langbot.app/en/docs/features">Возможности</a>
<a href="https://link.langbot.app/en/docs/guide">Документация</a>
<a href="https://link.langbot.app/en/docs/api">API</a>
<a href="https://docs.langbot.app/en/insight/features.html">Возможности</a>
<a href="https://docs.langbot.app/en/insight/guide.html">Документация</a>
<a href="https://docs.langbot.app/en/tags/readme.html">API</a>
<a href="https://space.langbot.app">Магазин плагинов</a>
<a href="https://langbot.featurebase.app/roadmap">Дорожная карта</a>
@@ -44,7 +44,7 @@ LangBot — это **платформа с открытым исходным к
- **Веб-панель управления** — Настраивайте, управляйте и мониторьте ваших ботов через интуитивный браузерный интерфейс. Ручное редактирование YAML не требуется.
- **Мультиконвейерная архитектура** — Разные боты для разных сценариев с комплексным мониторингом и обработкой исключений.
[→ Подробнее обо всех возможностях](https://link.langbot.app/en/docs/features)
[→ Подробнее обо всех возможностях](https://docs.langbot.app/en/insight/features.html)
---
@@ -75,7 +75,7 @@ docker compose up -d
[![Deploy on Zeabur](https://zeabur.com/button.svg)](https://zeabur.com/en-US/templates/ZKTBDH)
[![Deploy on Railway](https://railway.com/button.svg)](https://railway.app/template/yRrAyL?referralCode=vogKPF)
**Другие варианты:** [Docker](https://link.langbot.app/en/docs/docker) · [Ручная установка](https://link.langbot.app/en/docs/manual-deploy) · [BTPanel](https://link.langbot.app/en/docs/bt-panel) · [Kubernetes](./docker/README_K8S.md)
**Другие варианты:** [Docker](https://docs.langbot.app/en/deploy/langbot/docker.html) · [Ручная установка](https://docs.langbot.app/en/deploy/langbot/manual.html) · [BTPanel](https://docs.langbot.app/en/deploy/langbot/one-click/bt.html) · [Kubernetes](./docker/README_K8S.md)
---
@@ -83,19 +83,17 @@ docker compose up -d
| Платформа | Статус | Примечания |
|-----------|--------|------------|
| Discord | ✅ | Официальный |
| Telegram | ✅ | Официальный |
| Slack | ✅ | Официальный |
| LINE | ✅ | Официальный |
| QQ | ✅ | Личный и официальный API (Канал, ЛС, Группа) |
| Discord | ✅ | |
| Telegram | ✅ | |
| Slack | ✅ | |
| LINE | ✅ | |
| QQ | ✅ | Личный и официальный API |
| WeCom | ✅ | Корпоративный WeChat, внешний CS, AI-бот |
| WeChat | ✅ | Личный и официальный аккаунт |
| Lark | ✅ | Официальный |
| DingTalk | ✅ | Официальный |
| KOOK | ✅ | Официальный |
| Lark | ✅ | |
| DingTalk | ✅ | |
| KOOK | ✅ | |
| Satori | ✅ | |
| Email | ✅ | Matrix, Satori |
| Matrix | ✅ | Поддерживает несколько платформ через мосты, включая Signal, WhatsApp, Messenger, iMessage, Mattermost, Google Chat, IRC, XMPP, Zulip и другие |
---
@@ -124,9 +122,8 @@ docker compose up -d
| [CompShare](https://www.compshare.cn/?ytag=GPU_YY-gh_langbot) | Платформа GPU | ✅ |
| [PPIO](https://ppinfra.com/user/register?invited_by=QJKFYD&utm_source=github_langbot) | Платформа GPU | ✅ |
| [ShengSuanYun](https://www.shengsuanyun.com/?from=CH_KYIPP758) | Платформа GPU | ✅ |
| [Qiniu](https://www.qiniu.com/ai/agent) | Шлюз | ✅ |
[→ Смотреть все интеграции](https://link.langbot.app/en/docs/features)
[→ Смотреть все интеграции](https://docs.langbot.app/en/insight/features.html)
---

View File

@@ -21,9 +21,9 @@
[![star](https://gitcode.com/RockChinQ/LangBot/star/badge.svg)](https://gitcode.com/RockChinQ/LangBot)
<a href="https://langbot.app">官網</a>
<a href="https://link.langbot.app/zh/docs/features">特性</a>
<a href="https://link.langbot.app/zh/docs/guide">文件</a>
<a href="https://link.langbot.app/zh/docs/api">API</a>
<a href="https://docs.langbot.app/zh/insight/features.html">特性</a>
<a href="https://docs.langbot.app/zh/insight/guide.html">文件</a>
<a href="https://docs.langbot.app/zh/tags/readme.html">API</a>
<a href="https://space.langbot.app">外掛市場</a>
<a href="https://langbot.featurebase.app/roadmap">路線圖</a>
@@ -46,7 +46,7 @@ LangBot 是一個**開源的生產級平台**,用於建構 AI 驅動的即時
- **Web 管理面板** — 透過瀏覽器直觀地配置、管理和監控機器人,無需手動編輯設定檔。
- **多流水線架構** — 不同機器人用於不同場景,具備全面的監控和異常處理能力。
[→ 了解更多功能特性](https://link.langbot.app/zh/docs/features)
[→ 了解更多功能特性](https://docs.langbot.app/zh/insight/features.html)
---
@@ -77,7 +77,7 @@ docker compose up -d
[![Deploy on Zeabur](https://zeabur.com/button.svg)](https://zeabur.com/zh-CN/templates/ZKTBDH)
[![Deploy on Railway](https://railway.com/button.svg)](https://railway.app/template/yRrAyL?referralCode=vogKPF)
**更多方式:** [Docker](https://link.langbot.app/zh/docs/docker) · [手動部署](https://link.langbot.app/zh/docs/manual-deploy) · [寶塔面板](https://link.langbot.app/zh/docs/bt-panel) · [Kubernetes](./docker/README_K8S.md)
**更多方式:** [Docker](https://docs.langbot.app/zh/deploy/langbot/docker.html) · [手動部署](https://docs.langbot.app/zh/deploy/langbot/manual.html) · [寶塔面板](https://docs.langbot.app/zh/deploy/langbot/one-click/bt.html) · [Kubernetes](./docker/README_K8S.md)
---
@@ -85,19 +85,17 @@ docker compose up -d
| 平台 | 狀態 | 備註 |
|------|------|------|
| Discord | ✅ | 官方 |
| Telegram | ✅ | 官方 |
| Slack | ✅ | 官方 |
| LINE | ✅ | 官方 |
| QQ | ✅ | 個人號、官方機器人(頻道、私聊、群聊) |
| 企業微信 | ✅ | 應用訊息、對外客服、智能機器人 |
| 微信 | ✅ | 個人微信、微信公眾號 |
| 飛書 | ✅ | 官方 |
| 釘釘 | ✅ | 官方 |
| KOOK | ✅ | 官方 |
| 企業微信 | ✅ | 應用訊息、對外客服、智能機器人 |
| 飛書 | ✅ | |
| 釘釘 | ✅ | |
| Discord | ✅ | |
| Telegram | ✅ | |
| Slack | ✅ | |
| LINE | ✅ | |
| KOOK | ✅ | |
| Satori | ✅ | |
| Email | ✅ | 只 Matrix、Satori |
| Matrix | ✅ | 支援多種橋接平台,如 Signal、WhatsApp、Messenger、iMessage、Mattermost、Google Chat、IRC、XMPP、Zulip 等 |
---
@@ -126,7 +124,6 @@ docker compose up -d
| [PPIO](https://ppinfra.com/user/register?invited_by=QJKFYD&utm_source=github_langbot) | GPU 平台 | ✅ |
| [接口 AI](https://jiekou.ai/) | 聚合平台 | ✅ |
| [302.AI](https://share.302.ai/SuTG99) | 聚合平台 | ✅ |
| [Qiniu](https://www.qiniu.com/ai/agent) | 聚合平台 | ✅ |
### TTS語音合成
@@ -142,7 +139,7 @@ docker compose up -d
|-----------|------|
| 阿里雲百煉 | [外掛](https://github.com/Thetail001/LangBot_BailianTextToImagePlugin) |
[→ 查看完整整合列表](https://link.langbot.app/zh/docs/features)
[→ 查看完整整合列表](https://docs.langbot.app/zh/insight/features.html)
---

View File

@@ -19,9 +19,9 @@
[![GitHub stars](https://img.shields.io/github/stars/langbot-app/LangBot?style=social)](https://github.com/langbot-app/LangBot/stargazers)
<a href="https://langbot.app">Trang chủ</a>
<a href="https://link.langbot.app/en/docs/features">Tính năng</a>
<a href="https://link.langbot.app/en/docs/guide">Tài liệu</a>
<a href="https://link.langbot.app/en/docs/api">API</a>
<a href="https://docs.langbot.app/en/insight/features.html">Tính năng</a>
<a href="https://docs.langbot.app/en/insight/guide.html">Tài liệu</a>
<a href="https://docs.langbot.app/en/tags/readme.html">API</a>
<a href="https://space.langbot.app">Chợ Plugin</a>
<a href="https://langbot.featurebase.app/roadmap">Lộ trình</a>
@@ -44,7 +44,7 @@ LangBot là một **nền tảng mã nguồn mở, cấp sản xuất** để x
- **Bảng quản lý Web** — Cấu hình, quản lý và giám sát bot thông qua giao diện trình duyệt trực quan. Không cần chỉnh sửa YAML.
- **Kiến trúc đa Pipeline** — Các bot khác nhau cho các kịch bản khác nhau, với giám sát toàn diện và xử lý ngoại lệ.
[→ Tìm hiểu thêm về tất cả tính năng](https://link.langbot.app/en/docs/features)
[→ Tìm hiểu thêm về tất cả tính năng](https://docs.langbot.app/en/insight/features.html)
---
@@ -75,7 +75,7 @@ docker compose up -d
[![Deploy on Zeabur](https://zeabur.com/button.svg)](https://zeabur.com/en-US/templates/ZKTBDH)
[![Deploy on Railway](https://railway.com/button.svg)](https://railway.app/template/yRrAyL?referralCode=vogKPF)
**Thêm tùy chọn:** [Docker](https://link.langbot.app/en/docs/docker) · [Thủ công](https://link.langbot.app/en/docs/manual-deploy) · [BTPanel](https://link.langbot.app/en/docs/bt-panel) · [Kubernetes](./docker/README_K8S.md)
**Thêm tùy chọn:** [Docker](https://docs.langbot.app/en/deploy/langbot/docker.html) · [Thủ công](https://docs.langbot.app/en/deploy/langbot/manual.html) · [BTPanel](https://docs.langbot.app/en/deploy/langbot/one-click/bt.html) · [Kubernetes](./docker/README_K8S.md)
---
@@ -83,19 +83,17 @@ docker compose up -d
| Nền tảng | Trạng thái | Ghi chú |
|----------|--------|-------|
| Discord | ✅ | Chính thức |
| Telegram | ✅ | Chính thức |
| Slack | ✅ | Chính thức |
| LINE | ✅ | Chính thức |
| QQ | ✅ | Cá nhân & API chính thức (Kênh, DM, Nhóm) |
| Discord | ✅ | |
| Telegram | ✅ | |
| Slack | ✅ | |
| LINE | ✅ | |
| QQ | ✅ | Cá nhân & API chính thức |
| WeCom | ✅ | WeChat doanh nghiệp, CS bên ngoài, AI Bot |
| WeChat | ✅ | Cá nhân & Tài khoản công khai |
| Lark | ✅ | Chính thức |
| DingTalk | ✅ | Chính thức |
| KOOK | ✅ | Chính thức |
| Lark | ✅ | |
| DingTalk | ✅ | |
| KOOK | ✅ | |
| Satori | ✅ | |
| Email | ✅ | Matrix, Satori |
| Matrix | ✅ | Hỗ trợ nhiều nền tảng qua bridge như Signal, WhatsApp, Messenger, iMessage, Mattermost, Google Chat, IRC, XMPP, Zulip và hơn thế nữa |
---
@@ -124,9 +122,8 @@ docker compose up -d
| [ShengSuanYun](https://www.shengsuanyun.com/?from=CH_KYIPP758) | Nền tảng GPU | ✅ |
| [接口 AI](https://jiekou.ai/) | Cổng | ✅ |
| [302.AI](https://share.302.ai/SuTG99) | Cổng | ✅ |
| [Qiniu](https://www.qiniu.com/ai/agent) | Cổng | ✅ |
[→ Xem tất cả tích hợp](https://link.langbot.app/en/docs/features)
[→ Xem tất cả tích hợp](https://docs.langbot.app/en/insight/features.html)
---

View File

@@ -312,7 +312,7 @@ spec:
### 参考资源
- [LangBot 官方文档](https://docs.langbot.app)
- [Docker 部署文档](https://link.langbot.app/zh/docs/docker)
- [Docker 部署文档](https://docs.langbot.app/zh/deploy/langbot/docker.html)
- [Kubernetes 官方文档](https://kubernetes.io/docs/)
---
@@ -625,5 +625,5 @@ spec:
### References
- [LangBot Official Documentation](https://docs.langbot.app)
- [Docker Deployment Guide](https://link.langbot.app/zh/docs/docker)
- [Docker Deployment Guide](https://docs.langbot.app/zh/deploy/langbot/docker.html)
- [Kubernetes Official Documentation](https://kubernetes.io/docs/)

View File

@@ -34,4 +34,4 @@ services:
networks:
langbot_network:
driver: bridge
driver: bridge

View File

@@ -1,6 +1,6 @@
[project]
name = "langbot"
version = "4.9.7"
version = "4.9.3"
description = "Production-grade platform for building agentic IM bots"
readme = "README.md"
license-files = ["LICENSE"]
@@ -8,7 +8,7 @@ requires-python = ">=3.11,<4.0"
dependencies = [
"aiocqhttp>=1.4.4",
"aiofiles>=24.1.0",
"aiohttp>=3.13.4",
"aiohttp>=3.11.18",
"aioshutil>=1.5",
"aiosqlite>=0.21.0",
"anthropic>=0.51.0",
@@ -16,18 +16,18 @@ dependencies = [
"async-lru>=2.0.5",
"certifi>=2025.4.26",
"colorlog~=6.6.0",
"cryptography>=46.0.7",
"cryptography>=44.0.3",
"dashscope>=1.25.10",
"dingtalk-stream>=0.24.0",
"discord-py>=2.5.2",
"pynacl>=1.5.0", # Required for Discord voice support
"gewechat-client>=0.1.5",
"lark-oapi>=1.5.5",
"lark-oapi>=1.4.15",
"mcp>=1.25.0",
"nakuru-project-idk>=0.0.2.1",
"ollama>=0.4.8",
"openai>1.0.0",
"pillow>=12.2.0",
"pillow>=11.2.1",
"psutil>=7.0.0",
"pycryptodome>=3.22.0",
"pydantic>2.0",
@@ -35,12 +35,10 @@ dependencies = [
"python-telegram-bot>=22.0",
"pyyaml>=6.0.2",
"qq-botpy-rc>=1.2.1.6",
"qrcode>=7.4",
"quart>=0.20.0",
"quart-cors>=0.8.0",
"requests>=2.32.3",
"slack-sdk>=3.35.0",
"alembic>=1.15.0",
"sqlalchemy[asyncio]>=2.0.40",
"sqlmodel>=0.0.24",
"telegramify-markdown>=0.5.1",
@@ -51,7 +49,7 @@ dependencies = [
"pip>=25.1.1",
"ruff>=0.11.9",
"pre-commit>=4.2.0",
"uv>=0.11.6",
"uv>=0.7.11",
"mypy>=1.16.0",
"PyPDF2>=3.0.1",
"python-docx>=1.1.0",
@@ -62,18 +60,13 @@ dependencies = [
"ebooklib>=0.18",
"html2text>=2024.2.26",
"langchain>=0.2.0",
"langchain-core>=1.2.28",
"langsmith>=0.7.31",
"python-multipart>=0.0.26",
"Mako>=1.3.11",
"langchain-text-splitters>=1.1.2",
"langchain-text-splitters>=0.0.1",
"chromadb>=1.0.0,<2.0.0",
"qdrant-client (>=1.15.1,<2.0.0)",
"pyseekdb==1.1.0.post3",
"langbot-plugin==0.3.11",
"langbot-plugin==0.3.3",
"asyncpg>=0.30.0",
"line-bot-sdk>=3.19.0",
"matrix-nio>=0.25.2",
"tboxsdk>=0.0.10",
"boto3>=1.35.0",
"pymilvus>=2.6.4",
@@ -118,12 +111,12 @@ requires = ["setuptools>=61.0", "wheel"]
build-backend = "setuptools.build_meta"
[tool.setuptools]
package-data = { "langbot" = ["templates/**", "pkg/provider/modelmgr/requesters/*", "pkg/platform/sources/*", "web/dist/**", "pkg/persistence/alembic/**"] }
package-data = { "langbot" = ["templates/**", "pkg/provider/modelmgr/requesters/*", "pkg/platform/sources/*", "web/out/**"] }
[dependency-groups]
dev = [
"pre-commit>=4.2.0",
"pytest>=9.0.3",
"pytest>=8.4.1",
"pytest-asyncio>=1.0.0",
"pytest-cov>=7.0.0",
"ruff>=0.11.9",

View File

@@ -1,3 +1,3 @@
"""LangBot - Production-grade platform for building agentic IM bots"""
__version__ = '4.9.7'
__version__ = '4.9.3'

View File

@@ -182,88 +182,6 @@ class DingTalkClient:
for handler in self._message_handlers[msg_type]:
await handler(event)
async def _parse_quoted_message(self, replied_msg: dict) -> dict:
"""Parse the quoted/replied message and extract its content.
Args:
replied_msg: The repliedMsg object from DingTalk message
Returns:
A dict containing the quoted message info with keys:
- message_id: The original message ID
- msg_type: The message type (text, file, picture, audio, etc.)
- content: The text content (if any)
- file_url: The file download URL (if file type)
- file_name: The file name (if file type)
- picture: The picture base64 (if picture type)
- audio: The audio base64 (if audio type)
"""
quote_info = {
'message_id': replied_msg.get('msgId', ''),
'msg_type': replied_msg.get('msgType', ''),
'sender_id': replied_msg.get('senderId', ''),
}
msg_type = replied_msg.get('msgType', '')
content = replied_msg.get('content', {})
# Handle content as string (JSON) or dict
if isinstance(content, str):
try:
content = json.loads(content)
except (json.JSONDecodeError, TypeError):
content = {}
if msg_type == 'text':
# Text message
if isinstance(content, dict):
quote_info['content'] = content.get('content', '')
else:
quote_info['content'] = str(content)
elif msg_type == 'file':
# File message
download_code = content.get('downloadCode')
file_name = content.get('fileName')
if download_code and file_name:
try:
quote_info['file_url'] = await self.get_file_url(download_code)
quote_info['file_name'] = file_name
except Exception as e:
if self.logger:
await self.logger.error(f'Failed to get quoted file URL: {e}')
elif msg_type == 'picture':
# Picture message
download_code = content.get('downloadCode')
if download_code:
try:
quote_info['picture'] = await self.download_image(download_code)
except Exception as e:
if self.logger:
await self.logger.error(f'Failed to download quoted image: {e}')
elif msg_type == 'audio':
# Audio message
download_code = content.get('downloadCode')
if download_code:
try:
quote_info['audio'] = await self.get_audio_url(download_code)
except Exception as e:
if self.logger:
await self.logger.error(f'Failed to get quoted audio: {e}')
elif msg_type == 'richText':
# Rich text message - extract text content
rich_text = content.get('richText', [])
texts = []
for item in rich_text:
if 'text' in item and item['text'] != '\n':
texts.append(item['text'])
quote_info['content'] = '\n'.join(texts)
return quote_info
async def get_message(self, incoming_message: dingtalk_stream.chatbot.ChatbotMessage):
try:
# print(json.dumps(incoming_message.to_dict(), indent=4, ensure_ascii=False))
@@ -275,15 +193,6 @@ class DingTalkClient:
elif str(incoming_message.conversation_type) == '2':
message_data['conversation_type'] = 'GroupMessage'
# Check for quoted/replied message
raw_data = incoming_message.to_dict()
text_data = raw_data.get('text', {})
if isinstance(text_data, dict) and text_data.get('isReplyMsg'):
replied_msg = text_data.get('repliedMsg', {})
if replied_msg:
quote_info = await self._parse_quoted_message(replied_msg)
message_data['QuotedMessage'] = quote_info
if incoming_message.message_type == 'richText':
data = incoming_message.rich_text_content.to_dict()
@@ -359,52 +268,19 @@ class DingTalkClient:
message_data['Type'] = 'image'
elif incoming_message.message_type == 'audio':
raw_content = incoming_message.to_dict().get('content', {})
# 兼容处理:如果 content 仍为 JSON 字符串则进行解析
if isinstance(raw_content, str):
try:
raw_content = json.loads(raw_content)
except (json.JSONDecodeError, TypeError):
raw_content = {}
if self.logger:
await self.logger.info(f'DingTalk audio raw content: {json.dumps(raw_content, ensure_ascii=False)}')
# 提取钉钉自带的语音转写文字Powered by Qwen
recognition = raw_content.get('recognition', '')
if recognition:
message_data['Content'] = recognition
download_code = raw_content.get('downloadCode')
if download_code:
message_data['Audio'] = await self.get_audio_url(download_code)
message_data['Audio'] = await self.get_audio_url(incoming_message.to_dict()['content']['downloadCode'])
message_data['Type'] = 'audio'
elif incoming_message.message_type == 'file':
# 获取原始数据字典并提取嵌套的文件信息
raw_data = incoming_message.to_dict()
file_info = raw_data.get('content', {})
# 兼容处理:如果 content 仍为 JSON 字符串则进行解析
if isinstance(file_info, str):
try:
file_info = json.loads(file_info)
except (json.JSONDecodeError, TypeError):
file_info = {}
download_code = file_info.get('downloadCode')
file_name = file_info.get('fileName')
if download_code and file_name:
# 转换 downloadCode 为可下载的真实 URL
message_data['File'] = await self.get_file_url(download_code)
message_data['Name'] = file_name
down_list = incoming_message.get_down_list()
if len(down_list) >= 2:
message_data['File'] = await self.get_file_url(down_list[0])
message_data['Name'] = down_list[1]
else:
if self.logger:
await self.logger.error(f'Failed to extract file info from message content: {file_info}')
await self.logger.error(f'get_down_list() returned fewer than 2 elements: {down_list}')
message_data['File'] = None
message_data['Name'] = None
message_data['Type'] = 'file'
copy_message_data = message_data.copy()
@@ -481,12 +357,6 @@ class DingTalkClient:
card_data['config'] = json.dumps({'autoLayout': card_auto_layout})
card_data['content'] = ''
# 将用户的消息内容作为卡片的查询参数,方便后续处理
if incoming_message.message_type == 'text':
card_data['query'] = incoming_message.get_text_list()[0]
else:
card_data['query'] = '...'
card_instance = dingtalk_stream.AICardReplier(self.client, incoming_message)
# print(card_instance)
# 先投放卡片: https://open.dingtalk.com/document/orgapp/create-and-deliver-cards

View File

@@ -47,22 +47,6 @@ class DingTalkEvent(dict):
def conversation(self):
return self.get('conversation_type', '')
@property
def quoted_message(self) -> Optional[Dict[str, Any]]:
"""Get the quoted/replied message info if this is a reply message.
Returns:
A dict containing:
- message_id: The original message ID
- msg_type: The message type (text, file, picture, audio, etc.)
- content: The text content (if any)
- file_url: The file download URL (if file type)
- file_name: The file name (if file type)
- picture: The picture base64 (if picture type)
- audio: The audio base64 (if audio type)
"""
return self.get('QuotedMessage')
def __getattr__(self, key: str) -> Optional[Any]:
"""
允许通过属性访问数据中的任意字段。

View File

@@ -1,3 +0,0 @@
from .client import OpenClawWeixinClient as OpenClawWeixinClient
from .types import ApiError as ApiError
from .types import LoginResult as LoginResult

View File

@@ -1,807 +0,0 @@
"""Async HTTP client for the OpenClaw WeChat API.
Implements the iLink Bot API protocol.
Reference: https://github.com/epiral/weixin-bot
Endpoints: getUpdates (long-poll), sendMessage, getUploadUrl, getConfig, sendTyping.
"""
from __future__ import annotations
import asyncio
import base64
import io
import logging
import os
import struct
import typing
import uuid
from typing import Optional
from urllib.parse import quote
import aiohttp
from .types import (
ApiError,
CDNMedia,
FileItem,
GetConfigResponse,
GetUpdatesResponse,
GetUploadUrlResponse,
ImageItem,
LoginResult,
MessageItem,
QRCodeResponse,
QRStatusResponse,
RefMessage,
TextItem,
VideoItem,
VoiceItem,
WeixinMessage,
)
logger = logging.getLogger('openclaw-weixin-sdk')
DEFAULT_BASE_URL = 'https://ilinkai.weixin.qq.com'
CDN_BASE_URL = 'https://novac2c.cdn.weixin.qq.com/c2c'
CHANNEL_VERSION = '1.0.0'
DEFAULT_API_TIMEOUT = 15
DEFAULT_LONG_POLL_TIMEOUT = 40
DEFAULT_CONFIG_TIMEOUT = 10
DEFAULT_QR_POLL_TIMEOUT = 35
SESSION_EXPIRED_ERRCODE = -14
DEFAULT_BOT_TYPE = '3'
# Maximum text length per message chunk (WeChat limit)
MAX_TEXT_CHUNK_SIZE = 2000
def _random_wechat_uin() -> str:
"""Generate the X-WECHAT-UIN header: random uint32 -> decimal string -> base64."""
rand_bytes = os.urandom(4)
uint32_val = struct.unpack('>I', rand_bytes)[0]
return base64.b64encode(str(uint32_val).encode('utf-8')).decode('utf-8')
def _build_base_info() -> dict:
"""Build the base_info payload included in every API request."""
return {'channel_version': CHANNEL_VERSION}
def _chunk_text(text: str, max_size: int = MAX_TEXT_CHUNK_SIZE) -> list[str]:
"""Split long text into chunks that fit within WeChat's message size limit."""
if len(text) <= max_size:
return [text]
chunks = []
while text:
chunks.append(text[:max_size])
text = text[max_size:]
return chunks
class OpenClawWeixinClient:
"""Async client for the OpenClaw WeChat HTTP JSON API."""
def __init__(self, base_url: str, token: str):
self.base_url = base_url.rstrip('/')
self.token = token
self._session: Optional[aiohttp.ClientSession] = None
async def _get_session(self) -> aiohttp.ClientSession:
if self._session is None or self._session.closed:
self._session = aiohttp.ClientSession()
return self._session
async def close(self):
if self._session and not self._session.closed:
await self._session.close()
def _build_headers(self) -> dict[str, str]:
headers = {
'Content-Type': 'application/json',
'AuthorizationType': 'ilink_bot_token',
'X-WECHAT-UIN': _random_wechat_uin(),
}
if self.token:
headers['Authorization'] = f'Bearer {self.token}'
return headers
async def _post(self, endpoint: str, payload: dict, timeout: float = DEFAULT_API_TIMEOUT) -> dict:
"""Make a POST request and return the JSON response.
Raises ApiError on HTTP errors or when the response contains a non-zero errcode.
"""
payload['base_info'] = _build_base_info()
session = await self._get_session()
url = f'{self.base_url}/{endpoint}'
headers = self._build_headers()
async with session.post(
url, json=payload, headers=headers, timeout=aiohttp.ClientTimeout(total=timeout)
) as resp:
if resp.status != 200:
text = await resp.text()
raise ApiError(
f'OpenClaw API error {resp.status}: {text}',
status=resp.status,
)
data = await resp.json(content_type=None)
# Check for application-level errors in the response body
errcode = data.get('errcode') or data.get('ret')
if errcode and errcode != 0:
raise ApiError(
data.get('errmsg') or f'API errcode {errcode}',
status=200,
code=errcode,
payload=data,
)
return data
async def get_updates(
self, get_updates_buf: str = '', timeout: float = DEFAULT_LONG_POLL_TIMEOUT
) -> GetUpdatesResponse:
"""Long-poll for new messages.
Note: This method does NOT raise ApiError for errcode responses —
it returns them in the GetUpdatesResponse so the caller can handle
session expiry and other errors with full context.
"""
try:
# Bypass the errcode check in _post since get_updates needs
# to return error info (e.g. session expired) to the caller.
payload: dict = {'get_updates_buf': get_updates_buf}
payload['base_info'] = _build_base_info()
session = await self._get_session()
url = f'{self.base_url}/ilink/bot/getupdates'
headers = self._build_headers()
async with session.post(
url,
json=payload,
headers=headers,
timeout=aiohttp.ClientTimeout(total=timeout),
) as resp:
if resp.status != 200:
text = await resp.text()
raise ApiError(
f'OpenClaw API error {resp.status}: {text}',
status=resp.status,
)
data = await resp.json(content_type=None)
except (asyncio.TimeoutError, aiohttp.ServerTimeoutError):
return GetUpdatesResponse(ret=0, msgs=[], get_updates_buf=get_updates_buf)
except ApiError:
raise
except Exception as e:
if 'timeout' in str(e).lower():
return GetUpdatesResponse(ret=0, msgs=[], get_updates_buf=get_updates_buf)
raise
return _parse_get_updates_response(data)
async def send_message(
self,
to_user_id: str,
item_list: list[MessageItem],
context_token: str = '',
) -> None:
"""Send a message to a user."""
items_payload = [_message_item_to_dict(item) for item in item_list]
payload = {
'msg': {
'from_user_id': '',
'to_user_id': to_user_id,
'client_id': f'langbot-{uuid.uuid4().hex[:16]}',
'message_type': WeixinMessage.TYPE_BOT,
'message_state': WeixinMessage.STATE_FINISH,
'item_list': items_payload,
'context_token': context_token or None,
}
}
await self._post('ilink/bot/sendmessage', payload)
async def send_text(self, to_user_id: str, text: str, context_token: str = '') -> None:
"""Send a plain text message, automatically chunking if too long."""
chunks = _chunk_text(text)
for chunk in chunks:
item = MessageItem(type=MessageItem.TEXT, text_item=TextItem(text=chunk))
await self.send_message(to_user_id, [item], context_token)
async def get_config(self, ilink_user_id: str, context_token: str = '') -> GetConfigResponse:
"""Get bot config including typing_ticket."""
data = await self._post(
'ilink/bot/getconfig',
{'ilink_user_id': ilink_user_id, 'context_token': context_token or None},
timeout=DEFAULT_CONFIG_TIMEOUT,
)
return GetConfigResponse(
ret=data.get('ret'),
errmsg=data.get('errmsg'),
typing_ticket=data.get('typing_ticket'),
)
async def send_typing(self, ilink_user_id: str, typing_ticket: str, status: int = 1) -> None:
"""Send typing indicator. status: 1=typing, 2=cancel."""
await self._post(
'ilink/bot/sendtyping',
{
'ilink_user_id': ilink_user_id,
'typing_ticket': typing_ticket,
'status': status,
},
timeout=DEFAULT_CONFIG_TIMEOUT,
)
async def stop_typing(self, ilink_user_id: str, typing_ticket: str) -> None:
"""Cancel the typing indicator for a user."""
await self.send_typing(ilink_user_id, typing_ticket, status=2)
async def download_media(
self,
media: CDNMedia,
) -> bytes:
"""Download and decrypt a file from the WeChat CDN.
Args:
media: CDNMedia object with encrypt_query_param and aes_key.
Returns:
Decrypted file bytes.
"""
from cryptography.hazmat.primitives.ciphers import Cipher, algorithms, modes
from cryptography.hazmat.primitives.padding import PKCS7
if not media.encrypt_query_param:
raise ApiError('CDN media has no encrypt_query_param', status=0)
if not media.aes_key:
raise ApiError('CDN media has no aes_key', status=0)
# Derive 16-byte AES key
# aes_key is base64-encoded; the decoded content may be:
# - raw 16 bytes (direct AES key)
# - 32-char hex string (decode hex to get 16 bytes)
raw = base64.b64decode(media.aes_key)
if len(raw) == 16:
aes_key = raw
elif len(raw) == 32:
# Hex-encoded 16-byte key
aes_key = bytes.fromhex(raw.decode('utf-8'))
else:
raise ApiError(f'Invalid AES key length: {len(raw)} (expected 16 or 32)', status=0)
# Download encrypted bytes from CDN
session = await self._get_session()
cdn_url = f'{CDN_BASE_URL}/download?encrypted_query_param={quote(media.encrypt_query_param, safe="")}'
async with session.get(cdn_url, timeout=aiohttp.ClientTimeout(total=120)) as resp:
if resp.status != 200:
text = await resp.text()
raise ApiError(f'CDN download failed: {resp.status} {text}', status=resp.status)
encrypted = await resp.read()
# Decrypt AES-128-ECB with PKCS7 padding
cipher = Cipher(algorithms.AES(aes_key), modes.ECB())
decryptor = cipher.decryptor()
padded = decryptor.update(encrypted) + decryptor.finalize()
unpadder = PKCS7(128).unpadder()
return unpadder.update(padded) + unpadder.finalize()
async def upload_media(
self,
file_bytes: bytes,
to_user_id: str,
media_type: int,
) -> CDNMedia:
"""Encrypt and upload media to WeChat CDN.
Args:
file_bytes: Raw file bytes to upload.
to_user_id: Recipient user ID.
media_type: 1=IMAGE, 2=VIDEO, 3=FILE, 4=VOICE.
Returns:
CDNMedia with encrypt_query_param and aes_key for use in sendMessage.
"""
import hashlib
from cryptography.hazmat.primitives.ciphers import Cipher, algorithms, modes
from cryptography.hazmat.primitives.padding import PKCS7
# 1. Generate random 16-byte AES key
raw_key = os.urandom(16)
aes_key_hex = raw_key.hex() # 32-char hex string
# 2. Encode key for CDNMedia: base64(hex_string) — same for all media types
# Matches official SDK: Buffer.from(aeskey_hex).toString("base64")
encoded_key = base64.b64encode(aes_key_hex.encode('utf-8')).decode('utf-8')
# 3. Encrypt file with AES-128-ECB + PKCS7
padder = PKCS7(128).padder()
padded = padder.update(file_bytes) + padder.finalize()
cipher = Cipher(algorithms.AES(raw_key), modes.ECB())
encryptor = cipher.encryptor()
encrypted = encryptor.update(padded) + encryptor.finalize()
# 4. Get upload URL
raw_md5 = hashlib.md5(file_bytes).hexdigest()
filekey = os.urandom(16).hex() # 32-char hex, matches official SDK
upload_resp = await self.get_upload_url(
filekey=filekey,
media_type=media_type,
to_user_id=to_user_id,
rawsize=len(file_bytes),
rawfilemd5=raw_md5,
filesize=len(encrypted),
aeskey=aes_key_hex, # hex string, as expected by the API
)
if not upload_resp.upload_param:
raise ApiError('Failed to get upload URL', status=0)
# 5. Upload to CDN
# upload_param is an opaque token from the server — pass it as-is
session = await self._get_session()
cdn_url = f'{CDN_BASE_URL}/upload?encrypted_query_param={quote(upload_resp.upload_param, safe="")}&filekey={quote(filekey, safe="")}'
logger.debug(
'CDN upload: url=%s raw_size=%d encrypted_size=%d md5=%s aeskey=%s',
cdn_url,
len(file_bytes),
len(encrypted),
raw_md5,
encoded_key,
)
async with session.post(
cdn_url,
data=encrypted,
headers={'Content-Type': 'application/octet-stream'},
timeout=aiohttp.ClientTimeout(total=120),
) as resp:
if resp.status != 200:
text = await resp.text()
logger.error('CDN upload failed: status=%d url=%s body=%s', resp.status, cdn_url, text[:500])
raise ApiError(f'CDN upload failed: {resp.status} {text}', status=resp.status)
download_param = resp.headers.get('x-encrypted-param', '')
if not download_param:
raise ApiError('CDN upload succeeded but no x-encrypted-param returned', status=0)
return CDNMedia(
encrypt_query_param=download_param,
aes_key=encoded_key,
encrypt_type=1,
)
async def send_image(
self,
to_user_id: str,
image_bytes: bytes,
context_token: str = '',
) -> None:
"""Upload an image to CDN and send it."""
media = await self.upload_media(image_bytes, to_user_id, media_type=1)
item = MessageItem(
type=MessageItem.IMAGE,
image_item=ImageItem(
media=media,
aeskey=media.aes_key,
),
)
await self.send_message(to_user_id, [item], context_token)
async def send_file(
self,
to_user_id: str,
file_bytes: bytes,
file_name: str,
context_token: str = '',
) -> None:
"""Upload a file to CDN and send it."""
import hashlib
media = await self.upload_media(file_bytes, to_user_id, media_type=3)
item = MessageItem(
type=MessageItem.FILE,
file_item=FileItem(
media=media,
file_name=file_name,
md5=hashlib.md5(file_bytes).hexdigest(),
len=str(len(file_bytes)),
),
)
await self.send_message(to_user_id, [item], context_token)
async def send_voice(
self,
to_user_id: str,
voice_bytes: bytes,
playtime: int = 0,
context_token: str = '',
) -> None:
"""Upload a voice message to CDN and send it."""
media = await self.upload_media(voice_bytes, to_user_id, media_type=4)
item = MessageItem(
type=MessageItem.VOICE,
voice_item=VoiceItem(
media=media,
playtime=playtime,
),
)
await self.send_message(to_user_id, [item], context_token)
async def get_upload_url(
self,
filekey: str,
media_type: int,
to_user_id: str,
rawsize: int,
rawfilemd5: str,
filesize: int,
thumb_rawsize: Optional[int] = None,
thumb_rawfilemd5: Optional[str] = None,
thumb_filesize: Optional[int] = None,
aeskey: Optional[str] = None,
) -> GetUploadUrlResponse:
"""Get a pre-signed CDN upload URL."""
payload: dict = {
'filekey': filekey,
'media_type': media_type,
'to_user_id': to_user_id,
'rawsize': rawsize,
'rawfilemd5': rawfilemd5,
'filesize': filesize,
'no_need_thumb': True,
}
if thumb_rawsize is not None:
payload['thumb_rawsize'] = thumb_rawsize
if thumb_rawfilemd5 is not None:
payload['thumb_rawfilemd5'] = thumb_rawfilemd5
if thumb_filesize is not None:
payload['thumb_filesize'] = thumb_filesize
if aeskey is not None:
payload['aeskey'] = aeskey
data = await self._post('ilink/bot/getuploadurl', payload)
logger.debug('get_upload_url response: %s', data)
return GetUploadUrlResponse(
upload_param=data.get('upload_param'),
thumb_upload_param=data.get('thumb_upload_param'),
)
# -----------------------------------------------------------------------
# QR Code Login
# -----------------------------------------------------------------------
async def fetch_qrcode(self, bot_type: str = DEFAULT_BOT_TYPE) -> QRCodeResponse:
"""Fetch a QR code for WeChat login authorization (GET, no auth needed)."""
session = await self._get_session()
url = f'{self.base_url}/ilink/bot/get_bot_qrcode?bot_type={bot_type}'
async with session.get(url, timeout=aiohttp.ClientTimeout(total=DEFAULT_API_TIMEOUT)) as resp:
if resp.status != 200:
text = await resp.text()
raise ApiError(
f'Failed to fetch QR code: {resp.status} {text}',
status=resp.status,
)
data = await resp.json(content_type=None)
logger.debug(
'fetch_qrcode response: qrcode=%s, img=%s', data.get('qrcode'), bool(data.get('qrcode_img_content'))
)
return QRCodeResponse(
qrcode=data.get('qrcode'),
qrcode_img_content=data.get('qrcode_img_content'),
)
async def _fetch_qr_image_base64(self, url: str) -> str:
"""Generate a QR code image from the URL and return a data URI string.
The qrcode_img_content URL points to an HTML page (not a raw image),
so we generate the QR code locally using the qrcode library.
"""
import qrcode
qr = qrcode.QRCode(error_correction=qrcode.constants.ERROR_CORRECT_L)
qr.add_data(url)
qr.make(fit=True)
img = qr.make_image(fill_color='black', back_color='white')
buf = io.BytesIO()
img.save(buf, format='PNG')
b64 = base64.b64encode(buf.getvalue()).decode('utf-8')
return f'data:image/png;base64,{b64}'
async def poll_qrcode_status(self, qrcode: str) -> QRStatusResponse:
"""Long-poll the QR code scan status (GET with iLink-App-ClientVersion header)."""
session = await self._get_session()
url = f'{self.base_url}/ilink/bot/get_qrcode_status?qrcode={quote(qrcode, safe="")}'
headers = {'iLink-App-ClientVersion': '1'}
try:
async with session.get(
url, headers=headers, timeout=aiohttp.ClientTimeout(total=DEFAULT_QR_POLL_TIMEOUT)
) as resp:
if resp.status != 200:
text = await resp.text()
raise ApiError(
f'Failed to poll QR status: {resp.status} {text}',
status=resp.status,
)
data = await resp.json(content_type=None)
logger.debug('QR status poll response: %s', data)
except (asyncio.TimeoutError, aiohttp.ServerTimeoutError):
return QRStatusResponse(status='wait')
return QRStatusResponse(
status=data.get('status'),
bot_token=data.get('bot_token'),
ilink_bot_id=data.get('ilink_bot_id'),
baseurl=data.get('baseurl'),
ilink_user_id=data.get('ilink_user_id'),
)
async def login(
self,
max_retries: int = 5,
poll_timeout_ms: int = 480_000,
on_qrcode: Optional[typing.Callable[[str, str], typing.Any]] = None,
on_status: Optional[typing.Callable[[str], typing.Any]] = None,
) -> LoginResult:
"""Complete QR code login flow with auto-retry on expiry.
Args:
max_retries: Max number of QR code refreshes on expiry.
poll_timeout_ms: Timeout per QR code in milliseconds.
on_qrcode: Callback(qr_image_base64, qr_url) called each time a
new QR code is fetched. Use this to display the QR code.
on_status: Callback(status_str) called on each status poll change.
Returns:
LoginResult with token, base_url, and account_id.
Raises:
ApiError: On unrecoverable API errors.
Exception: If all retries are exhausted.
"""
last_qr_base64: Optional[str] = None
for attempt in range(max_retries):
qr_resp = await self.fetch_qrcode()
if not qr_resp.qrcode or not qr_resp.qrcode_img_content:
raise ApiError('Failed to get QR code from server', status=0)
# Convert QR image to base64 and notify caller
last_qr_base64 = await self._fetch_qr_image_base64(qr_resp.qrcode_img_content)
if on_qrcode:
try:
result = on_qrcode(last_qr_base64, qr_resp.qrcode_img_content)
if asyncio.iscoroutine(result) or asyncio.isfuture(result):
await result
except Exception as e:
logger.warning('on_qrcode callback error: %s', e)
# Poll until confirmed / expired / timeout
loop = asyncio.get_running_loop()
deadline = loop.time() + poll_timeout_ms / 1000.0
while loop.time() < deadline:
try:
status_resp = await self.poll_qrcode_status(qr_resp.qrcode)
except Exception as e:
logger.error('Error polling QR status: %s', e)
await asyncio.sleep(2)
continue
if on_status:
try:
cb_result = on_status(status_resp.status or 'unknown')
if asyncio.iscoroutine(cb_result) or asyncio.isfuture(cb_result):
await cb_result
except Exception as e:
logger.warning('on_status callback error: %s', e)
if status_resp.status == 'confirmed' and status_resp.bot_token:
new_base_url = status_resp.baseurl or self.base_url
# Update this client instance as well
self.token = status_resp.bot_token
self.base_url = new_base_url.rstrip('/')
return LoginResult(
token=status_resp.bot_token,
base_url=new_base_url,
account_id=status_resp.ilink_bot_id or '',
qr_image_base64=last_qr_base64,
)
if status_resp.status == 'expired':
break # retry with a new QR code
await asyncio.sleep(1)
else:
# While-loop ended without break → poll timeout, treat as expired
pass
remaining = max_retries - attempt - 1
if remaining > 0:
logger.info('QR code expired, refreshing... (%d retries left)', remaining)
else:
raise ApiError('QR code login failed: max retries exceeded', status=0)
# Should not reach here, but just in case
raise ApiError('QR code login failed', status=0)
# ---------------------------------------------------------------------------
# Parsing helpers
# ---------------------------------------------------------------------------
def _parse_cdn_media(data: Optional[dict]) -> Optional[CDNMedia]:
if not data:
return None
return CDNMedia(
encrypt_query_param=data.get('encrypt_query_param'),
aes_key=data.get('aes_key'),
encrypt_type=data.get('encrypt_type'),
)
def _parse_message_item(data: dict) -> MessageItem:
item = MessageItem(
type=data.get('type'),
create_time_ms=data.get('create_time_ms'),
update_time_ms=data.get('update_time_ms'),
is_completed=data.get('is_completed'),
msg_id=data.get('msg_id'),
)
if data.get('text_item'):
item.text_item = TextItem(text=data['text_item'].get('text'))
if data.get('image_item'):
img = data['image_item']
item.image_item = ImageItem(
media=_parse_cdn_media(img.get('media')),
thumb_media=_parse_cdn_media(img.get('thumb_media')),
aeskey=img.get('aeskey'),
url=img.get('url'),
mid_size=img.get('mid_size'),
)
if data.get('voice_item'):
v = data['voice_item']
item.voice_item = VoiceItem(
media=_parse_cdn_media(v.get('media')),
encode_type=v.get('encode_type'),
playtime=v.get('playtime'),
text=v.get('text'),
)
if data.get('file_item'):
f = data['file_item']
item.file_item = FileItem(
media=_parse_cdn_media(f.get('media')),
file_name=f.get('file_name'),
md5=f.get('md5'),
len=f.get('len'),
)
if data.get('video_item'):
vid = data['video_item']
item.video_item = VideoItem(
media=_parse_cdn_media(vid.get('media')),
video_size=vid.get('video_size'),
play_length=vid.get('play_length'),
video_md5=vid.get('video_md5'),
thumb_media=_parse_cdn_media(vid.get('thumb_media')),
)
if data.get('ref_msg'):
ref = data['ref_msg']
item.ref_msg = RefMessage(
title=ref.get('title'),
message_item=_parse_message_item(ref['message_item']) if ref.get('message_item') else None,
)
return item
def _parse_weixin_message(data: dict) -> WeixinMessage:
msg = WeixinMessage(
seq=data.get('seq'),
message_id=data.get('message_id'),
from_user_id=data.get('from_user_id'),
to_user_id=data.get('to_user_id'),
client_id=data.get('client_id'),
create_time_ms=data.get('create_time_ms'),
session_id=data.get('session_id'),
group_id=data.get('group_id'),
message_type=data.get('message_type'),
message_state=data.get('message_state'),
context_token=data.get('context_token'),
)
if data.get('item_list'):
msg.item_list = [_parse_message_item(item) for item in data['item_list']]
return msg
def _parse_get_updates_response(data: dict) -> GetUpdatesResponse:
resp = GetUpdatesResponse(
ret=data.get('ret'),
errcode=data.get('errcode'),
errmsg=data.get('errmsg'),
get_updates_buf=data.get('get_updates_buf'),
longpolling_timeout_ms=data.get('longpolling_timeout_ms'),
)
if data.get('msgs'):
resp.msgs = [_parse_weixin_message(m) for m in data['msgs']]
return resp
def _cdn_media_to_dict(media: Optional[CDNMedia]) -> Optional[dict]:
if not media:
return None
d: dict = {}
if media.encrypt_query_param is not None:
d['encrypt_query_param'] = media.encrypt_query_param
if media.aes_key is not None:
d['aes_key'] = media.aes_key
if media.encrypt_type is not None:
d['encrypt_type'] = media.encrypt_type
return d or None
def _message_item_to_dict(item: MessageItem) -> dict:
d: dict = {'type': item.type}
if item.text_item:
d['text_item'] = {'text': item.text_item.text}
if item.image_item:
img_d: dict = {}
if item.image_item.media:
img_d['media'] = _cdn_media_to_dict(item.image_item.media)
if item.image_item.mid_size is not None:
img_d['mid_size'] = item.image_item.mid_size
d['image_item'] = img_d
if item.voice_item:
voice_d: dict = {}
if item.voice_item.media:
voice_d['media'] = _cdn_media_to_dict(item.voice_item.media)
if item.voice_item.playtime is not None:
voice_d['playtime'] = item.voice_item.playtime
d['voice_item'] = voice_d
if item.file_item:
file_d: dict = {}
if item.file_item.media:
file_d['media'] = _cdn_media_to_dict(item.file_item.media)
if item.file_item.file_name:
file_d['file_name'] = item.file_item.file_name
if item.file_item.len:
file_d['len'] = item.file_item.len
d['file_item'] = file_d
if item.video_item:
vid_d: dict = {}
if item.video_item.media:
vid_d['media'] = _cdn_media_to_dict(item.video_item.media)
if item.video_item.video_size is not None:
vid_d['video_size'] = item.video_item.video_size
d['video_item'] = vid_d
return d

View File

@@ -1,200 +0,0 @@
"""Type definitions for the OpenClaw WeChat API, mirroring the upstream protocol."""
from __future__ import annotations
from dataclasses import dataclass, field
from typing import Any, Optional
SESSION_EXPIRED_ERRCODE = -14
class ApiError(Exception):
"""Structured error raised by the OpenClaw WeChat API."""
def __init__(
self,
message: str,
*,
status: int = 0,
code: int | None = None,
payload: Any = None,
):
super().__init__(message)
self.status = status
self.code = code
self.payload = payload
@property
def is_session_expired(self) -> bool:
return self.code == SESSION_EXPIRED_ERRCODE
@dataclass
class CDNMedia:
encrypt_query_param: Optional[str] = None
aes_key: Optional[str] = None
encrypt_type: Optional[int] = None
@dataclass
class TextItem:
text: Optional[str] = None
@dataclass
class ImageItem:
media: Optional[CDNMedia] = None
thumb_media: Optional[CDNMedia] = None
aeskey: Optional[str] = None
url: Optional[str] = None
mid_size: Optional[int] = None
thumb_size: Optional[int] = None
thumb_height: Optional[int] = None
thumb_width: Optional[int] = None
hd_size: Optional[int] = None
_downloaded_bytes: Optional[bytes] = field(default=None, repr=False)
@dataclass
class VoiceItem:
media: Optional[CDNMedia] = None
encode_type: Optional[int] = None
bits_per_sample: Optional[int] = None
sample_rate: Optional[int] = None
playtime: Optional[int] = None
text: Optional[str] = None
_downloaded_bytes: Optional[bytes] = field(default=None, repr=False)
@dataclass
class FileItem:
media: Optional[CDNMedia] = None
file_name: Optional[str] = None
md5: Optional[str] = None
len: Optional[str] = None
_downloaded_bytes: Optional[bytes] = field(default=None, repr=False)
@dataclass
class VideoItem:
media: Optional[CDNMedia] = None
video_size: Optional[int] = None
play_length: Optional[int] = None
video_md5: Optional[str] = None
thumb_media: Optional[CDNMedia] = None
thumb_size: Optional[int] = None
thumb_height: Optional[int] = None
thumb_width: Optional[int] = None
_downloaded_bytes: Optional[bytes] = field(default=None, repr=False)
@dataclass
class RefMessage:
message_item: Optional[MessageItem] = None
title: Optional[str] = None
@dataclass
class MessageItem:
"""A single content item inside a WeixinMessage."""
# Item types
NONE = 0
TEXT = 1
IMAGE = 2
VOICE = 3
FILE = 4
VIDEO = 5
type: Optional[int] = None
create_time_ms: Optional[int] = None
update_time_ms: Optional[int] = None
is_completed: Optional[bool] = None
msg_id: Optional[str] = None
ref_msg: Optional[RefMessage] = None
text_item: Optional[TextItem] = None
image_item: Optional[ImageItem] = None
voice_item: Optional[VoiceItem] = None
file_item: Optional[FileItem] = None
video_item: Optional[VideoItem] = None
@dataclass
class WeixinMessage:
"""Unified message from getUpdates or for sendMessage."""
# Message types
TYPE_USER = 1
TYPE_BOT = 2
# Message states
STATE_NEW = 0
STATE_GENERATING = 1
STATE_FINISH = 2
seq: Optional[int] = None
message_id: Optional[int] = None
from_user_id: Optional[str] = None
to_user_id: Optional[str] = None
client_id: Optional[str] = None
create_time_ms: Optional[int] = None
update_time_ms: Optional[int] = None
delete_time_ms: Optional[int] = None
session_id: Optional[str] = None
group_id: Optional[str] = None
message_type: Optional[int] = None
message_state: Optional[int] = None
item_list: Optional[list[MessageItem]] = None
context_token: Optional[str] = None
@dataclass
class GetUpdatesResponse:
ret: Optional[int] = None
errcode: Optional[int] = None
errmsg: Optional[str] = None
msgs: list[WeixinMessage] = field(default_factory=list)
get_updates_buf: Optional[str] = None
longpolling_timeout_ms: Optional[int] = None
@dataclass
class GetConfigResponse:
ret: Optional[int] = None
errmsg: Optional[str] = None
typing_ticket: Optional[str] = None
@dataclass
class GetUploadUrlResponse:
upload_param: Optional[str] = None
thumb_upload_param: Optional[str] = None
@dataclass
class QRCodeResponse:
"""Response from get_bot_qrcode endpoint."""
qrcode: Optional[str] = None
qrcode_img_content: Optional[str] = None
@dataclass
class QRStatusResponse:
"""Response from get_qrcode_status endpoint."""
status: Optional[str] = None # "wait" | "scaned" | "confirmed" | "expired"
bot_token: Optional[str] = None
ilink_bot_id: Optional[str] = None
baseurl: Optional[str] = None
ilink_user_id: Optional[str] = None
@dataclass
class LoginResult:
"""Result returned by the login flow."""
token: str
base_url: str
account_id: str
qr_image_base64: Optional[str] = None # data URI of the last QR code shown

View File

@@ -1,10 +1,8 @@
import re
import time
import asyncio
from quart import request
import httpx
from quart import Quart
from typing import Callable, Dict, Any, Optional
from typing import Callable, Dict, Any
import langbot_plugin.api.entities.builtin.platform.events as platform_events
from .qqofficialevent import QQOfficialEvent
import json
@@ -34,8 +32,6 @@ class QQOfficialClient:
self.access_token = ''
self.access_token_expiry_time = None
self.logger = logger
self._msg_seq_counter = 0
self._token_refresh_task: Optional[asyncio.Task] = None
async def check_access_token(self):
"""检查access_token是否存在"""
@@ -54,18 +50,18 @@ class QQOfficialClient:
headers = {
'content-type': 'application/json',
}
response = await client.post(url, json=params, headers=headers)
if response.status_code != 200:
raise Exception(f'Failed to get access_token: HTTP {response.status_code} {response.text}')
response_data = response.json()
access_token = response_data.get('access_token')
expires_in = int(response_data.get('expires_in', 7200))
self.access_token_expiry_time = time.time() + expires_in - 60
if access_token:
self.access_token = access_token
await self.logger.info(f'access_token obtained, expires_in={expires_in}s')
else:
raise Exception('Failed to get access_token: no access_token in response')
try:
response = await client.post(url, json=params, headers=headers)
if response.status_code == 200:
response_data = response.json()
access_token = response_data.get('access_token')
expires_in = int(response_data.get('expires_in', 7200))
self.access_token_expiry_time = time.time() + expires_in - 60
if access_token:
self.access_token = access_token
except Exception as e:
await self.logger.error(f'获取access_token失败: {response_data}')
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"""
@@ -91,10 +87,10 @@ class QQOfficialClient:
try:
body = await req.get_data()
await self.logger.info(f'Received request, body length: {len(body)}')
print(f'[QQ Official] Received request, body length: {len(body)}')
if not body or len(body) == 0:
await self.logger.info('Received empty body, might be health check or GET request')
print('[QQ Official] Received empty body, might be health check or GET request')
return {'code': 0, 'message': 'ok'}, 200
payload = json.loads(body)
@@ -115,6 +111,7 @@ 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
@@ -142,24 +139,21 @@ class QQOfficialClient:
async def get_message(self, msg: dict) -> Dict[str, Any]:
"""获取消息"""
d = msg.get('d', {})
if not isinstance(d, dict):
return {}
message_data = {
't': msg.get('t', {}),
'user_openid': d.get('author', {}).get('user_openid', {}),
'timestamp': d.get('timestamp', {}),
'd_author_id': d.get('author', {}).get('id', {}),
'content': d.get('content', {}),
'd_id': d.get('id', {}),
'user_openid': msg.get('d', {}).get('author', {}).get('user_openid', {}),
'timestamp': msg.get('d', {}).get('timestamp', {}),
'd_author_id': msg.get('d', {}).get('author', {}).get('id', {}),
'content': msg.get('d', {}).get('content', {}),
'd_id': msg.get('d', {}).get('id', {}),
'id': msg.get('id', {}),
'channel_id': d.get('channel_id', {}),
'username': d.get('author', {}).get('username', {}),
'guild_id': d.get('guild_id', {}),
'member_openid': d.get('author', {}).get('openid', {}),
'group_openid': d.get('group_openid', {}),
'channel_id': msg.get('d', {}).get('channel_id', {}),
'username': msg.get('d', {}).get('author', {}).get('username', {}),
'guild_id': msg.get('d', {}).get('guild_id', {}),
'member_openid': msg.get('d', {}).get('author', {}).get('openid', {}),
'group_openid': msg.get('d', {}).get('group_openid', {}),
}
attachments = d.get('attachments', [])
attachments = msg.get('d', {}).get('attachments', [])
image_attachments = [attachment['url'] for attachment in attachments if await self.is_image(attachment)]
image_attachments_type = [
attachment['content_type'] for attachment in attachments if await self.is_image(attachment)
@@ -198,7 +192,7 @@ class QQOfficialClient:
if response.status_code == 200:
return
else:
await self.logger.error(f'Failed to send private message: {response_data}')
await self.logger.error(f'发送私聊消息失败: {response_data}')
raise ValueError(response)
async def send_group_text_msg(self, group_openid: str, content: str, msg_id: str):
@@ -221,7 +215,7 @@ class QQOfficialClient:
if response.status_code == 200:
return
else:
await self.logger.error(f'Failed to send group message: {response.json()}')
await self.logger.error(f'发送群聊消息失败:{response.json()}')
raise Exception(response.read().decode())
async def send_channle_group_text_msg(self, channel_id: str, content: str, msg_id: str):
@@ -244,7 +238,7 @@ class QQOfficialClient:
if response.status_code == 200:
return True
else:
await self.logger.error(f'Failed to send channel group message: {response.json()}')
await self.logger.error(f'发送频道群聊消息失败: {response.json()}')
raise Exception(response)
async def send_channle_private_text_msg(self, guild_id: str, content: str, msg_id: str):
@@ -267,224 +261,9 @@ class QQOfficialClient:
if response.status_code == 200:
return True
else:
await self.logger.error(f'Failed to send channel private message: {response.json()}')
await self.logger.error(f'发送频道私聊消息失败: {response.json()}')
raise Exception(response)
# ---- 富媒体消息 ----
# 媒体文件类型
MEDIA_TYPE_IMAGE = 1
MEDIA_TYPE_VIDEO = 2
MEDIA_TYPE_VOICE = 3
MEDIA_TYPE_FILE = 4
async def upload_media(
self,
target_type: str,
target_id: str,
file_type: int,
file_url: str = None,
file_data: str = None,
file_name: str = None,
) -> str:
"""上传媒体文件,返回 file_info。
Args:
target_type: 'c2c' | 'group'
target_id: 用户 openid 或群 openid
file_type: 1=图片, 2=视频, 3=语音, 4=文件
file_url: 在线 URL与 file_data 二选一)
file_data: base64 编码的文件数据或 data URL与 file_url 二选一)
file_name: 文件名file_type=4 时必填)
"""
if not await self.check_access_token():
await self.get_access_token()
if target_type == 'c2c':
url = f'{self.base_url}/v2/users/{target_id}/files'
elif target_type == 'group':
url = f'{self.base_url}/v2/groups/{target_id}/files'
else:
raise ValueError(f'Unsupported target_type: {target_type}')
body = {
'file_type': file_type,
'srv_send_msg': False,
}
if file_url:
body['url'] = file_url
elif file_data:
# 处理 data URL 格式: data:image/png;base64,xxxxx
if file_data.startswith('data:'):
match = re.match(r'^data:[^;]+;base64,(.+)$', file_data, re.DOTALL)
if match:
body['file_data'] = match.group(1)
else:
body['file_data'] = file_data
else:
body['file_data'] = file_data
else:
raise ValueError('file_url or file_data is required')
if file_type == self.MEDIA_TYPE_FILE and file_name:
body['file_name'] = file_name
async with httpx.AsyncClient(timeout=120) as client:
headers = {
'Authorization': f'QQBot {self.access_token}',
'Content-Type': 'application/json',
}
response = await client.post(url, headers=headers, json=body)
if response.status_code == 200:
data = response.json()
file_info = data.get('file_info', '')
preview = file_info[:80] + '...' if len(file_info) > 80 else file_info
await self.logger.info(f'Upload media success, file_info={preview}')
return file_info
else:
raise Exception(f'Failed to upload media: HTTP {response.status_code} {response.text}')
async def _send_media_msg(
self,
target_type: str,
target_id: str,
file_info: str,
msg_id: str = None,
content: str = None,
):
"""发送富媒体消息msg_type=7"""
if not await self.check_access_token():
await self.get_access_token()
if target_type == 'c2c':
url = f'{self.base_url}/v2/users/{target_id}/messages'
elif target_type == 'group':
url = f'{self.base_url}/v2/groups/{target_id}/messages'
else:
raise ValueError(f'Unsupported target_type: {target_type}')
self._msg_seq_counter += 1
msg_seq = self._msg_seq_counter
body = {
'msg_type': 7,
'media': {'file_info': file_info},
'msg_seq': msg_seq,
}
if content:
body['content'] = content
if msg_id:
body['msg_id'] = msg_id
async with httpx.AsyncClient(timeout=120) as client:
headers = {
'Authorization': f'QQBot {self.access_token}',
'Content-Type': 'application/json',
}
await self.logger.info(f'Sending rich media: {json.dumps(body, ensure_ascii=False)[:200]}')
response = await client.post(url, headers=headers, json=body)
if response.status_code != 200:
raise Exception(f'Failed to send rich media message: HTTP {response.status_code} {response.text}')
async def send_image_msg(
self,
target_type: str,
target_id: str,
file_url: str = None,
file_data: str = None,
msg_id: str = None,
content: str = None,
):
"""发送图片消息"""
file_info = await self.upload_media(
target_type,
target_id,
self.MEDIA_TYPE_IMAGE,
file_url=file_url,
file_data=file_data,
)
await self._send_media_msg(target_type, target_id, file_info, msg_id, content)
async def send_voice_msg(
self,
target_type: str,
target_id: str,
file_url: str = None,
file_data: str = None,
msg_id: str = None,
):
"""发送语音消息"""
file_info = await self.upload_media(
target_type,
target_id,
self.MEDIA_TYPE_VOICE,
file_url=file_url,
file_data=file_data,
)
await self._send_media_msg(target_type, target_id, file_info, msg_id)
async def send_file_msg(
self,
target_type: str,
target_id: str,
file_url: str = None,
file_data: str = None,
file_name: str = None,
msg_id: str = None,
):
"""发送文件消息(含视频)"""
file_info = await self.upload_media(
target_type,
target_id,
self.MEDIA_TYPE_FILE,
file_url=file_url,
file_data=file_data,
file_name=file_name,
)
await self._send_media_msg(target_type, target_id, file_info, msg_id)
async def send_stream_msg(
self,
user_openid: str,
content: str,
event_id: str,
msg_id: str,
msg_seq: int = 1,
index: int = 0,
stream_msg_id: str = None,
input_state: int = 1,
):
"""发送流式消息C2C 私聊)。
Args:
input_state: 1=生成中, 10=生成结束
"""
if not await self.check_access_token():
await self.get_access_token()
url = f'{self.base_url}/v2/users/{user_openid}/stream_messages'
body = {
'input_mode': 'replace',
'input_state': input_state,
'content_type': 'markdown',
'content_raw': content,
'event_id': event_id,
'msg_id': msg_id,
'msg_seq': msg_seq,
'index': index,
}
if stream_msg_id:
body['stream_msg_id'] = stream_msg_id
async with httpx.AsyncClient(timeout=120) as client:
headers = {
'Authorization': f'QQBot {self.access_token}',
'Content-Type': 'application/json',
}
response = await client.post(url, headers=headers, json=body)
if response.status_code != 200:
raise Exception(f'Failed to send stream message: HTTP {response.status_code} {response.text}')
return response.json()
async def is_token_expired(self):
"""检查token是否过期"""
if self.access_token_expiry_time is None:
@@ -513,325 +292,3 @@ class QQOfficialClient:
'signature': signature,
}
return response
# ---- WebSocket Gateway ----
# Reference: https://bot.q.qq.com/wiki/develop/api-v2/dev-prepare/interface-framework/event-emit.html
INTENT_GUILDS = 1 << 0
INTENT_GUILD_MEMBERS = 1 << 1
INTENT_PUBLIC_GUILD_MESSAGES = 1 << 30
INTENT_DIRECT_MESSAGE = 1 << 12
INTENT_GROUP_AND_C2C = 1 << 25
INTENT_INTERACTION = 1 << 26
FULL_INTENTS = (
INTENT_GUILDS
| INTENT_GUILD_MEMBERS
| INTENT_PUBLIC_GUILD_MESSAGES
| INTENT_DIRECT_MESSAGE
| INTENT_GROUP_AND_C2C
| INTENT_INTERACTION
)
async def get_gateway_url(self) -> str:
"""获取 WebSocket 网关地址"""
if not await self.check_access_token():
await self.get_access_token()
url = f'{self.base_url}/gateway'
async with httpx.AsyncClient() as client:
headers = {
'Authorization': f'QQBot {self.access_token}',
}
response = await client.get(url, headers=headers)
if response.status_code == 200:
data = response.json()
ws_url = data.get('url', '')
if not ws_url:
raise Exception('Gateway URL is empty')
return ws_url
else:
raise Exception(f'Failed to get Gateway URL: HTTP {response.status_code} {response.text}')
async def _background_token_refresh(self):
"""在 token 到期前主动刷新"""
try:
while True:
if self.access_token_expiry_time:
remain = self.access_token_expiry_time - time.time()
if remain > 120:
await asyncio.sleep(remain - 60)
continue
self.access_token = ''
self.access_token_expiry_time = None
if await self.check_access_token():
await asyncio.sleep(60)
else:
await self.get_access_token()
await asyncio.sleep(60)
except asyncio.CancelledError:
pass
async def connect_gateway(
self,
on_event: Callable[[str, dict], Any],
on_ready: Optional[Callable[[], Any]] = None,
on_error: Optional[Callable[[Exception], Any]] = None,
):
"""WebSocket 网关连接,含重连逻辑。持续重连直到达到最大次数或被取消。
Args:
on_event: 收到 op=0 Dispatch 事件时的回调,参数为 (event_type, event_data)
on_ready: 连接就绪 (收到 READY) 时的回调
on_error: 发生错误时的回调
"""
import websockets
session_id = ''
last_seq = 0
reconnect_attempts = 0
max_reconnect_attempts = 100
backoff_delays = [1, 2, 5, 10, 30, 60]
rate_limit_delay = 60
# Cancel previous token refresh task if any
if self._token_refresh_task and not self._token_refresh_task.done():
self._token_refresh_task.cancel()
try:
await self._token_refresh_task
except asyncio.CancelledError:
pass
self._token_refresh_task = None
while reconnect_attempts <= max_reconnect_attempts:
heartbeat_interval = 45000
should_refresh_token = False
ws = None
heartbeat_task = None
# Refresh token if needed
if should_refresh_token:
self.access_token = ''
self.access_token_expiry_time = None
try:
ws_url = await self.get_gateway_url()
await self.logger.info(f'Gateway URL obtained: {ws_url[:60]}...')
except Exception as e:
error_msg = str(e)
await self.logger.error(f'Failed to get gateway URL: {e}')
reconnect_attempts += 1
if '100017' in error_msg or '频率' in error_msg or 'Too many' in error_msg:
delay = rate_limit_delay
else:
delay = backoff_delays[min(reconnect_attempts - 1, len(backoff_delays) - 1)]
await self.logger.info(f'Reconnecting in {delay}s (attempt {reconnect_attempts})')
await asyncio.sleep(delay)
continue
try:
await self.logger.info('Connecting to WebSocket gateway...')
ws = await websockets.connect(ws_url)
await self.logger.info('WebSocket connected')
except Exception as e:
await self.logger.error(f'WebSocket connection failed: {e}')
reconnect_attempts += 1
delay = backoff_delays[min(reconnect_attempts - 1, len(backoff_delays) - 1)]
await self.logger.info(f'Reconnecting in {delay}s (attempt {reconnect_attempts})')
await asyncio.sleep(delay)
continue
try:
async for raw_msg in ws:
try:
payload = json.loads(raw_msg)
except json.JSONDecodeError:
await self.logger.error(f'Failed to parse message: {raw_msg}')
continue
op = payload.get('op')
d = payload.get('d', {})
s = payload.get('s')
t = payload.get('t')
if not isinstance(d, dict):
d = {}
if op == 10: # Hello
heartbeat_interval = d.get('heartbeat_interval', 45000)
await self.logger.info(f'Received Hello, heartbeat_interval={heartbeat_interval}ms')
# Send Identify or Resume
if session_id and last_seq > 0:
resume_payload = {
'op': 6,
'd': {
'token': f'QQBot {self.access_token}',
'session_id': session_id,
'seq': last_seq,
},
}
await ws.send(json.dumps(resume_payload))
await self.logger.info(f'Sent Resume, session_id={session_id}, seq={last_seq}')
else:
identify_payload = {
'op': 2,
'd': {
'token': f'QQBot {self.access_token}',
'intents': self.FULL_INTENTS,
'shard': [0, 1],
},
}
await ws.send(json.dumps(identify_payload))
await self.logger.info(f'Sent Identify, intents={self.FULL_INTENTS}')
# Start heartbeat
async def _heartbeat_loop(conn, interval_ms):
interval_sec = interval_ms / 1000.0
try:
while True:
await asyncio.sleep(interval_sec)
try:
hb_payload = {'op': 1, 'd': last_seq}
await conn.send(json.dumps(hb_payload))
except Exception:
break
except asyncio.CancelledError:
pass
heartbeat_task = asyncio.create_task(_heartbeat_loop(ws, heartbeat_interval))
elif op == 0: # Dispatch
if s is not None:
last_seq = s
if t == 'READY':
session_id = d.get('session_id', '')
reconnect_attempts = 0
await self.logger.info(f'READY, session_id={session_id}')
if on_ready:
try:
result = on_ready()
if asyncio.iscoroutine(result):
await result
except Exception:
pass
# Track token refresh task to avoid leaks
if self._token_refresh_task and not self._token_refresh_task.done():
self._token_refresh_task.cancel()
try:
await self._token_refresh_task
except asyncio.CancelledError:
pass
self._token_refresh_task = asyncio.create_task(self._background_token_refresh())
elif t == 'RESUMED':
reconnect_attempts = 0
await self.logger.info('RESUMED')
else:
await self.logger.debug(f'Received event: {t}, seq={s}')
if on_event:
try:
result = on_event(t, d)
if asyncio.iscoroutine(result):
await result
except Exception:
await self.logger.error(f'Error handling event {t}: {traceback.format_exc()}')
elif op == 11: # Heartbeat ACK
pass
elif op == 7: # Reconnect
await self.logger.info('Received Reconnect directive')
break
elif op == 9: # Invalid Session
can_resume = d.get('can_resume', False)
await self.logger.warning(f'Invalid Session, can_resume={can_resume}')
if not can_resume:
session_id = ''
last_seq = 0
should_refresh_token = True
break
# Connection closed normally (end of async for)
try:
close_code = ws.close_code
close_reason = ws.close_reason or ''
except Exception:
close_code = None
close_reason = ''
await self.logger.info(f'Connection closed, code={close_code}, reason={close_reason}')
if close_code == 4004:
should_refresh_token = True
elif close_code in (4006, 4007, 4009):
session_id = ''
last_seq = 0
should_refresh_token = True
elif close_code == 4008:
reconnect_attempts += 1
delay = rate_limit_delay
await self.logger.info(
f'Rate limited, waiting {delay}s before reconnect (attempt {reconnect_attempts})'
)
await asyncio.sleep(delay)
continue
elif close_code in (4914, 4915):
err = Exception(f'Bot disconnected/banned (close_code={close_code})')
if on_error:
await self._safe_callback(on_error, err)
return
elif close_code in (4900, 4901, 4902, 4903, 4904, 4905, 4906, 4907, 4908, 4909, 4910, 4911, 4912, 4913):
session_id = ''
last_seq = 0
if close_code == 1000:
return
except asyncio.CancelledError:
raise
except Exception:
await self.logger.error(f'Unexpected error in WebSocket loop: {traceback.format_exc()}')
finally:
if heartbeat_task:
heartbeat_task.cancel()
try:
await heartbeat_task
except asyncio.CancelledError:
pass
if ws:
try:
await ws.close()
except Exception:
pass
# If we reach here, we need to reconnect
reconnect_attempts += 1
if reconnect_attempts > max_reconnect_attempts:
await self.logger.error(f'Max reconnect attempts ({max_reconnect_attempts}) reached, stopping')
if on_error:
await self._safe_callback(on_error, Exception('Max reconnect attempts reached'))
return
delay = backoff_delays[min(reconnect_attempts - 1, len(backoff_delays) - 1)]
await self.logger.info(f'Reconnecting in {delay}s (attempt {reconnect_attempts})')
await asyncio.sleep(delay)
async def _safe_callback(self, callback, *args):
"""Safely invoke a callback, handling both sync and async functions."""
try:
result = callback(*args)
if asyncio.iscoroutine(result):
await result
except Exception:
pass
async def connect_gateway_loop(
self,
on_event: Callable[[str, dict], Any],
on_ready: Optional[Callable[[], Any]] = None,
on_error: Optional[Callable[[Exception], Any]] = None,
):
"""持续重连的网关循环。"""
await self.connect_gateway(on_event, on_ready, on_error)

View File

@@ -6,8 +6,7 @@ import traceback
import uuid
import xml.etree.ElementTree as ET
from dataclasses import dataclass, field
import re
from typing import Any, Callable, Optional, Tuple
from typing import Any, Callable, Optional
from urllib.parse import unquote
import httpx
@@ -64,25 +63,16 @@ class StreamSession:
# 缓存最近一次片段,处理重试或超时兜底
last_chunk: Optional[StreamChunk] = None
# 反馈 ID用于接收用户点赞/点踩反馈
feedback_id: Optional[str] = None
class StreamSessionManager:
"""管理 stream 会话的生命周期,并负责队列的生产消费。"""
# Sessions with registered feedback_ids use a longer TTL to survive the
# full like → cancel → dislike feedback flow. Must align with the adapter's
# _stream_to_monitoring_msg TTL (wecombot.py).
_FEEDBACK_SESSION_TTL = 600 # 10 minutes
def __init__(self, logger: EventLogger, ttl: int = 60) -> None:
self.logger = logger
self.ttl = ttl # 超时时间(秒),超过该时间未被访问的会话会被清理由 cleanup
self._sessions: dict[str, StreamSession] = {} # stream_id -> StreamSession 映射
self._msg_index: dict[str, str] = {} # msgid -> stream_id 映射,便于流水线根据消息 ID 找到会话
self._feedback_index: dict[str, str] = {} # feedback_id -> stream_id 映射
def get_stream_id_by_msg(self, msg_id: str) -> Optional[str]:
if not msg_id:
@@ -92,32 +82,6 @@ class StreamSessionManager:
def get_session(self, stream_id: str) -> Optional[StreamSession]:
return self._sessions.get(stream_id)
def get_session_by_feedback_id(self, feedback_id: str) -> Optional[StreamSession]:
"""根据 feedback_id 查找会话。
Args:
feedback_id: 企业微信反馈事件中的反馈 ID。
Returns:
Optional[StreamSession]: 找到的会话实例,未找到返回 None。
"""
if not feedback_id:
return None
stream_id = self._feedback_index.get(feedback_id)
if stream_id:
return self._sessions.get(stream_id)
return None
def register_feedback_id(self, stream_id: str, feedback_id: str) -> None:
"""注册 feedback_id 与 stream_id 的映射。
Args:
stream_id: 企业微信流式会话 ID。
feedback_id: 反馈 ID。
"""
if feedback_id and stream_id:
self._feedback_index[feedback_id] = stream_id
def create_or_get(self, msg_json: dict[str, Any]) -> tuple[StreamSession, bool]:
"""根据企业微信回调创建或获取会话。
@@ -219,17 +183,11 @@ class StreamSessionManager:
session.last_access = time.time()
def cleanup(self) -> None:
"""定期清理过期会话,防止队列与映射无上限累积。
已注册 feedback_id 的会话使用更长的 TTL确保用户在点赞/取消/点踩流程中
不会因为 session 被提前清除而丢失上下文信息。
"""
"""定期清理过期会话,防止队列与映射无上限累积。"""
now = time.time()
expired: list[str] = []
for stream_id, session in self._sessions.items():
# Sessions with registered feedback_ids use a longer TTL
effective_ttl = self._FEEDBACK_SESSION_TTL if session.feedback_id else self.ttl
if now - session.last_access > effective_ttl:
if now - session.last_access > self.ttl:
expired.append(stream_id)
for stream_id in expired:
@@ -239,142 +197,52 @@ class StreamSessionManager:
msg_id = session.msg_id
if msg_id and self._msg_index.get(msg_id) == stream_id:
self._msg_index.pop(msg_id, None)
# Clean up feedback index for expired sessions
if session.feedback_id:
self._feedback_index.pop(session.feedback_id, None)
def _decrypt_file(encrypted_data: bytes, aes_key_str: str) -> bytes:
"""Decrypt AES-256-CBC encrypted file data.
Aligned with the official WeCom AI Bot Python SDK (crypto_utils.py).
Args:
encrypted_data: The raw encrypted bytes.
aes_key_str: Base64-encoded AES key (may lack padding).
Returns:
Decrypted bytes with PKCS#7 padding removed.
"""
if not encrypted_data:
raise ValueError('encrypted_data is empty')
if not aes_key_str:
raise ValueError('aes_key is empty')
# Python's base64.b64decode requires proper padding (length % 4 == 0).
# Node.js Buffer.from tolerates missing '=', so we must pad manually.
remainder = len(aes_key_str) % 4
if remainder != 0:
aes_key_str = aes_key_str + '=' * (4 - remainder)
key = base64.b64decode(aes_key_str)
iv = key[:16]
cipher = AES.new(key, AES.MODE_CBC, iv)
# Ensure encrypted data is aligned to AES block size (16 bytes).
# Node.js setAutoPadding(false) silently handles unaligned data,
# but PyCryptodome will raise an error.
block_size = 16
data_remainder = len(encrypted_data) % block_size
if data_remainder != 0:
encrypted_data = encrypted_data + b'\x00' * (block_size - data_remainder)
decrypted = cipher.decrypt(encrypted_data)
# Remove PKCS#7 padding with validation
if len(decrypted) == 0:
raise ValueError('Decrypted data is empty')
pad_len = decrypted[-1]
if pad_len < 1 or pad_len > 32 or pad_len > len(decrypted):
raise ValueError(f'Invalid PKCS#7 padding value: {pad_len}')
# Verify all padding bytes are consistent
for i in range(len(decrypted) - pad_len, len(decrypted)):
if decrypted[i] != pad_len:
raise ValueError('Invalid PKCS#7 padding: padding bytes mismatch')
return decrypted[: len(decrypted) - pad_len]
def _extract_filename(content_disposition: str) -> Optional[str]:
"""Extract filename from a Content-Disposition header value."""
if not content_disposition:
return None
# RFC 5987: filename*=UTF-8''xxx
utf8_match = re.search(r"filename\*=UTF-8''([^;\s]+)", content_disposition, re.IGNORECASE)
if utf8_match:
return unquote(utf8_match.group(1))
# Standard: filename="xxx" or filename=xxx
match = re.search(r'filename="?([^";\s]+)"?', content_disposition, re.IGNORECASE)
if match:
return unquote(match.group(1))
return None
def _bytes_to_data_uri(data: bytes) -> str:
"""Convert raw bytes to a data URI with auto-detected MIME type."""
if data.startswith(b'\xff\xd8'):
mime_type = 'image/jpeg'
elif data.startswith(b'\x89PNG'):
mime_type = 'image/png'
elif data.startswith((b'GIF87a', b'GIF89a')):
mime_type = 'image/gif'
elif data.startswith(b'BM'):
mime_type = 'image/bmp'
elif data.startswith(b'II*\x00') or data.startswith(b'MM\x00*'):
mime_type = 'image/tiff'
elif data[:4] == b'%PDF':
mime_type = 'application/pdf'
elif data[:4] == b'PK\x03\x04':
mime_type = 'application/zip'
else:
mime_type = 'application/octet-stream'
base64_str = base64.b64encode(data).decode('utf-8')
return f'data:{mime_type};base64,{base64_str}'
async def download_encrypted_file(
download_url: str, aes_key: str, logger: EventLogger
) -> Tuple[Optional[bytes], Optional[str]]:
"""Download an AES-encrypted file from WeChat Work and decrypt it.
async def download_encrypted_file(download_url: str, encoding_aes_key: str, logger: EventLogger) -> Optional[str]:
"""Download an AES-encrypted file from WeChat Work and return as data URI.
Args:
download_url: The encrypted file download URL.
aes_key: The AES key for decryption (base64-encoded, per-message aeskey
or platform EncodingAESKey).
encoding_aes_key: The AES key used for decryption (base64-encoded, without trailing '=').
logger: Logger instance.
Returns:
A tuple of (decrypted_bytes, filename) or (None, None) on failure.
A data URI string (e.g. 'data:image/jpeg;base64,...') or None on failure.
"""
if not download_url:
return None, None
if not aes_key:
await logger.error('download_encrypted_file: aes_key is empty, cannot decrypt')
return None, None
return None
async with httpx.AsyncClient() as client:
response = await client.get(download_url)
if response.status_code != 200:
await logger.error(f'failed to get file: {response.text}')
return None
encrypted_bytes = response.content
filename: Optional[str] = None
try:
async with httpx.AsyncClient(timeout=30.0) as client:
response = await client.get(download_url)
if response.status_code != 200:
await logger.error(f'Failed to download file (HTTP {response.status_code}): {response.text[:200]}')
return None, None
encrypted_bytes = response.content
filename = _extract_filename(response.headers.get('content-disposition', ''))
except Exception:
await logger.error(f'Failed to download file: {traceback.format_exc()}')
return None, None
aes_key = base64.b64decode(encoding_aes_key + '=')
iv = aes_key[:16]
try:
decrypted = _decrypt_file(encrypted_bytes, aes_key)
return decrypted, filename
except Exception:
await logger.error(f'Failed to decrypt file: {traceback.format_exc()}')
return None, None
cipher = AES.new(aes_key, AES.MODE_CBC, iv)
decrypted = cipher.decrypt(encrypted_bytes)
pad_len = decrypted[-1]
decrypted = decrypted[:-pad_len]
if decrypted.startswith(b'\xff\xd8'):
mime_type = 'image/jpeg'
elif decrypted.startswith(b'\x89PNG'):
mime_type = 'image/png'
elif decrypted.startswith((b'GIF87a', b'GIF89a')):
mime_type = 'image/gif'
elif decrypted.startswith(b'BM'):
mime_type = 'image/bmp'
elif decrypted.startswith(b'II*\x00') or decrypted.startswith(b'MM\x00*'):
mime_type = 'image/tiff'
else:
mime_type = 'application/octet-stream'
base64_str = base64.b64encode(decrypted).decode('utf-8')
return f'data:{mime_type};base64,{base64_str}'
async def parse_wecom_bot_message(
@@ -405,22 +273,10 @@ async def parse_wecom_bot_message(
max_inline_file_size = 5 * 1024 * 1024
async def _safe_download(url: str, per_msg_aeskey: str = '') -> Tuple[Optional[bytes], Optional[str]]:
"""Download and decrypt a file, preferring per-message aeskey over platform key."""
async def _safe_download(url: str):
if not url:
return None, None
key = per_msg_aeskey or encoding_aes_key
if not key:
await logger.warning('No AES key available for file decryption, skipping download')
return None, None
return await download_encrypted_file(url, key, logger)
async def _safe_download_as_data_uri(url: str, per_msg_aeskey: str = '') -> Optional[str]:
"""Download, decrypt, and convert to data URI for backward compatibility."""
data, _filename = await _safe_download(url, per_msg_aeskey)
if data:
return _bytes_to_data_uri(data)
return None
return None
return await download_encrypted_file(url, encoding_aes_key, logger)
if msg_type == 'text':
message_data['content'] = msg_json.get('text', {}).get('content')
@@ -429,17 +285,14 @@ async def parse_wecom_bot_message(
'content', ''
)
elif msg_type == 'image':
image_info = msg_json.get('image', {})
picurl = image_info.get('url', '')
per_msg_aeskey = image_info.get('aeskey', '')
base64_data = await _safe_download_as_data_uri(picurl, per_msg_aeskey)
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')
per_msg_aeskey = voice_info.get('aeskey', '')
message_data['voice'] = {
'url': download_url,
'md5sum': voice_info.get('md5sum') or voice_info.get('md5'),
@@ -448,14 +301,13 @@ async def parse_wecom_bot_message(
}
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_as_data_uri(download_url, per_msg_aeskey)
# if voice_base64:
# message_data['voice']['base64'] = voice_base64
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')
per_msg_aeskey = video_info.get('aeskey', '')
video_data = {
'url': download_url,
'filesize': video_info.get('filesize') or video_info.get('size'),
@@ -463,17 +315,14 @@ async def parse_wecom_bot_message(
'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_as_data_uri(download_url, per_msg_aeskey)
# if video_base64:
# video_data['base64'] = video_base64
# 应为需要解密但是目前暂时不能下载到内部进行解密所以先将下载链接拼接aeskey返回给用户由插件去处理该链接的下载和解密逻辑
video_data['download_url'] = download_url + f'?aeskey={per_msg_aeskey}'
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')
per_msg_aeskey = file_info.get('aeskey', '')
file_data = {
'filename': file_info.get('filename') or file_info.get('name'),
'filesize': file_info.get('filesize') or file_info.get('size'),
@@ -482,15 +331,10 @@ async def parse_wecom_bot_message(
'download_url': download_url,
'extra': file_info,
}
# if (file_data.get('filesize') or 0) <= max_inline_file_size:
# file_bytes, dl_filename = await _safe_download(download_url, per_msg_aeskey)
# if file_bytes:
# file_data['base64'] = _bytes_to_data_uri(file_bytes)
# if dl_filename and not file_data.get('filename'):
# file_data['filename'] = dl_filename
# 应为需要解密但是目前暂时不能下载到内部进行解密所以先将下载链接拼接aeskey返回给用户由插件去处理该链接的下载和解密逻辑
file_data['download_url'] = download_url + f'?aeskey={per_msg_aeskey}'
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', {})
@@ -511,16 +355,13 @@ async def parse_wecom_bot_message(
if item_type == 'text':
texts.append(item.get('text', {}).get('content', ''))
elif item_type == 'image':
img_info = item.get('image', {})
img_url = img_info.get('url')
img_aeskey = img_info.get('aeskey', '')
base64_data = await _safe_download_as_data_uri(img_url, img_aeskey)
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')
item_aeskey = file_info.get('aeskey', '')
file_data = {
'filename': file_info.get('filename') or file_info.get('name'),
'filesize': file_info.get('filesize') or file_info.get('size'),
@@ -530,16 +371,13 @@ async def parse_wecom_bot_message(
'extra': file_info,
}
if (file_data.get('filesize') or 0) <= max_inline_file_size:
file_bytes, dl_filename = await _safe_download(download_url, item_aeskey)
if file_bytes:
file_data['base64'] = _bytes_to_data_uri(file_bytes)
if dl_filename and not file_data.get('filename'):
file_data['filename'] = dl_filename
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')
item_aeskey = voice_info.get('aeskey', '')
voice_data = {
'url': download_url,
'md5sum': voice_info.get('md5sum') or voice_info.get('md5'),
@@ -549,14 +387,13 @@ async def parse_wecom_bot_message(
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_as_data_uri(download_url, item_aeskey)
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')
item_aeskey = video_info.get('aeskey', '')
video_data = {
'url': download_url,
'filesize': video_info.get('filesize') or video_info.get('size'),
@@ -565,7 +402,7 @@ async def parse_wecom_bot_message(
'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_as_data_uri(download_url, item_aeskey)
video_base64 = await _safe_download(download_url)
if video_base64:
video_data['base64'] = video_base64
videos.append(video_data)
@@ -606,120 +443,6 @@ async def parse_wecom_bot_message(
if msg_json.get('aibotid'):
message_data['aibotid'] = msg_json.get('aibotid', '')
# Handle quote (referenced message) - important for group chat file references
quote_info = msg_json.get('quote')
if quote_info:
quote_data: dict[str, Any] = {}
quote_type = quote_info.get('msgtype', '')
quote_data['msgtype'] = quote_type
if quote_type == 'text':
quote_data['content'] = quote_info.get('text', {}).get('content', '')
elif quote_type == 'image':
img_info = quote_info.get('image', {})
img_url = img_info.get('url', '')
img_aeskey = img_info.get('aeskey', '')
base64_data = await _safe_download_as_data_uri(img_url, img_aeskey)
if base64_data:
quote_data['picurl'] = base64_data
quote_data['images'] = [base64_data]
elif quote_type == 'file':
file_info = quote_info.get('file', {}) or {}
download_url = file_info.get('url') or file_info.get('fileurl')
item_aeskey = file_info.get('aeskey', '')
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,
}
# Same as private chat: append aeskey to download_url for plugin processing
if download_url and item_aeskey:
file_data['download_url'] = download_url + f'?aeskey={item_aeskey}'
quote_data['file'] = file_data
elif quote_type == 'voice':
voice_info = quote_info.get('voice', {}) or {}
download_url = voice_info.get('url')
item_aeskey = voice_info.get('aeskey', '')
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'):
quote_data['content'] = voice_info.get('content')
# Same as private chat: append aeskey to url for plugin processing
if download_url and item_aeskey:
voice_data['url'] = download_url + f'?aeskey={item_aeskey}'
quote_data['voice'] = voice_data
elif quote_type == 'video':
video_info = quote_info.get('video', {}) or {}
download_url = video_info.get('url')
item_aeskey = video_info.get('aeskey', '')
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'),
}
# Same as private chat: append aeskey to download_url for plugin processing
if download_url and item_aeskey:
video_data['download_url'] = download_url + f'?aeskey={item_aeskey}'
quote_data['video'] = video_data
elif quote_type == 'link':
quote_data['link'] = quote_info.get('link', {})
link = quote_data['link']
title = link.get('title', '')
desc = link.get('description') or link.get('digest', '')
quote_data['content'] = '\n'.join(filter(None, [title, desc]))
elif quote_type == 'mixed':
# Handle mixed type in quote (text + images + files etc.)
items = quote_info.get('mixed', {}).get('msg_item', [])
texts = []
images = []
files = []
for item in items:
item_type = item.get('msgtype')
if item_type == 'text':
texts.append(item.get('text', {}).get('content', ''))
elif item_type == 'image':
img_info = item.get('image', {})
img_url = img_info.get('url')
img_aeskey = img_info.get('aeskey', '')
base64_data = await _safe_download_as_data_uri(img_url, img_aeskey)
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')
item_aeskey = file_info.get('aeskey', '')
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,
}
# Same as private chat: append aeskey to download_url for plugin processing
if download_url and item_aeskey:
file_data['download_url'] = download_url + f'?aeskey={item_aeskey}'
files.append(file_data)
if texts:
quote_data['content'] = ' '.join(texts)
if images:
quote_data['images'] = images
quote_data['picurl'] = images[0]
if files:
quote_data['files'] = files
quote_data['file'] = files[0]
message_data['quote'] = quote_data
return message_data
@@ -760,27 +483,14 @@ class WecomBotClient:
self.stream_sessions = StreamSessionManager(logger=logger)
self.stream_poll_timeout = 0.5
self._feedback_callback: Optional[Callable] = None
def set_feedback_callback(self, callback: Callable) -> None:
"""设置反馈回调函数。
Args:
callback: 反馈回调函数,签名: async def callback(feedback_id, feedback_type, feedback_content, inaccurate_reasons, session)
"""
self._feedback_callback = callback
@staticmethod
def _build_stream_payload(
stream_id: str, content: str, finish: bool, feedback_id: Optional[str] = None
) -> dict[str, Any]:
def _build_stream_payload(stream_id: str, content: str, finish: bool) -> dict[str, Any]:
"""按照企业微信协议拼装返回报文。
Args:
stream_id: 企业微信会话 ID。
content: 推送的文本内容。
finish: 是否为最终片段。
feedback_id: 反馈 ID用于接收用户点赞/点踩反馈。
Returns:
dict[str, Any]: 可直接加密返回的 payload。
@@ -788,16 +498,13 @@ class WecomBotClient:
Example:
组装 `{'msgtype': 'stream', 'stream': {'id': 'sid', ...}}` 结构。
"""
stream_payload = {
'id': stream_id,
'finish': finish,
'content': content,
}
if feedback_id:
stream_payload['feedback'] = {'id': feedback_id}
return {
'msgtype': 'stream',
'stream': stream_payload,
'stream': {
'id': stream_id,
'finish': finish,
'content': content,
},
}
async def _encrypt_and_reply(self, payload: dict[str, Any], nonce: str) -> tuple[Response, int]:
@@ -853,14 +560,9 @@ class WecomBotClient:
"""
session, is_new = self.stream_sessions.create_or_get(msg_json)
feedback_id = str(uuid.uuid4())
session.feedback_id = feedback_id
self.stream_sessions.register_feedback_id(session.stream_id, feedback_id)
message_data = await self.get_message(msg_json)
if message_data:
message_data['stream_id'] = session.stream_id
message_data['feedback_id'] = feedback_id
try:
event = wecombotevent.WecomBotEvent(message_data)
except Exception:
@@ -869,7 +571,7 @@ class WecomBotClient:
if is_new:
asyncio.create_task(self._dispatch_event(event))
payload = self._build_stream_payload(session.stream_id, '', False, feedback_id)
payload = self._build_stream_payload(session.stream_id, '', False)
return await self._encrypt_and_reply(payload, nonce)
async def _handle_post_followup_response(self, msg_json: dict[str, Any], nonce: str) -> tuple[Response, int]:
@@ -994,81 +696,11 @@ class WecomBotClient:
msg_json = json.loads(decrypted_xml)
event = msg_json.get('event', {})
event_type = event.get('eventtype', '')
if event_type == 'feedback_event':
return await self._handle_feedback_event(msg_json, nonce)
if msg_json.get('msgtype') == 'stream':
return await self._handle_post_followup_response(msg_json, nonce)
return await self._handle_post_initial_response(msg_json, nonce)
async def _handle_feedback_event(self, msg_json: dict[str, Any], nonce: str) -> tuple[Response, int]:
"""处理企业微信用户反馈事件(点赞/点踩)。
Args:
msg_json: 解密后的企业微信反馈事件 JSON。
nonce: 企业微信回调参数 nonce。
Returns:
Tuple[Response, int]: Quart Response 及状态码。
Note:
企业微信协议要求:反馈事件目前仅支持回复空包。
"""
try:
feedback_event = msg_json.get('event', {}).get('feedback_event', {})
feedback_id = feedback_event.get('id', '')
feedback_type = feedback_event.get('type', 0)
feedback_content = feedback_event.get('content', '')
inaccurate_reasons = feedback_event.get('inaccurate_reason_list', [])
await self.logger.info(
f'收到用户反馈事件: feedback_id={feedback_id}, type={feedback_type}, '
f'content={feedback_content}, reasons={inaccurate_reasons}'
)
session = self.stream_sessions.get_session_by_feedback_id(feedback_id)
if session:
await self.logger.info(
f'反馈关联到会话: stream_id={session.stream_id}, msg_id={session.msg_id}, user_id={session.user_id}'
)
else:
await self.logger.warning(f'未找到 feedback_id={feedback_id} 对应的会话,仍将记录反馈')
# Dispatch feedback event regardless of session availability
for handler in self._message_handlers.get('feedback', []):
try:
await handler(
feedback_id=feedback_id,
feedback_type=feedback_type,
feedback_content=feedback_content,
inaccurate_reasons=inaccurate_reasons,
session=session,
)
except Exception:
await self.logger.error(traceback.format_exc())
if self._feedback_callback:
try:
await self._feedback_callback(
feedback_id=feedback_id,
feedback_type=feedback_type,
feedback_content=feedback_content,
inaccurate_reasons=inaccurate_reasons,
session=session,
)
except Exception:
await self.logger.error(traceback.format_exc())
except Exception:
await self.logger.error(traceback.format_exc())
return await self._encrypt_and_reply({}, nonce)
async def get_message(self, msg_json):
return await parse_wecom_bot_message(msg_json, self.EnCodingAESKey, self.logger)
@@ -1137,20 +769,8 @@ class WecomBotClient:
return decorator
def on_feedback(self):
def decorator(func: Callable):
if 'feedback' not in self._message_handlers:
self._message_handlers['feedback'] = []
self._message_handlers['feedback'].append(func)
return func
return decorator
async def download_url_to_base64(self, download_url, encoding_aes_key):
data, _filename = await download_encrypted_file(download_url, encoding_aes_key, self.logger)
if data:
return _bytes_to_data_uri(data)
return None
return await download_encrypted_file(download_url, encoding_aes_key, self.logger)
async def run_task(self, host: str, port: int, *args, **kwargs):
"""

View File

@@ -133,24 +133,3 @@ class WecomBotEvent(dict):
AI Bot ID
"""
return self.get('aibotid', '')
@property
def feedback_id(self) -> str:
"""
反馈 ID用于关联用户点赞/点踩反馈
"""
return self.get('feedback_id', '')
@property
def stream_id(self) -> str:
"""
流式消息 ID
"""
return self.get('stream_id', '')
@property
def quote(self):
"""
引用消息信息(群聊中用户引用其他消息时返回)
"""
return self.get('quote', {})

View File

@@ -20,7 +20,7 @@ from typing import Any, Callable, Optional
import aiohttp
from langbot.libs.wecom_ai_bot_api import wecombotevent
from langbot.libs.wecom_ai_bot_api.api import parse_wecom_bot_message, StreamSession
from langbot.libs.wecom_ai_bot_api.api import parse_wecom_bot_message
from langbot.pkg.platform.logger import EventLogger
DEFAULT_WS_URL = 'wss://openws.work.weixin.qq.com'
@@ -96,12 +96,6 @@ class WecomBotWsClient:
self._stream_ids: dict[str, str] = {} # msg_id -> req_id|stream_id
# Dedup: skip sending when content hasn't changed
self._stream_last_content: dict[str, str] = {} # msg_id -> last content sent
# Stream session info for feedback tracking
self._stream_sessions: dict[str, dict] = {} # msg_id -> session info
# Feedback tracking: feedback_id -> session info
self._feedback_sessions: dict[str, dict] = {} # feedback_id -> {msg_id, user_id, chat_id, stream_id, req_id}
# msg_id -> feedback_id (for associating feedback with message)
self._msg_feedback_ids: dict[str, str] = {} # msg_id -> feedback_id
# ── Public API ──────────────────────────────────────────────────
@@ -170,27 +164,12 @@ class WecomBotWsClient:
return decorator
def on_feedback(self) -> Callable:
"""Decorator to register a feedback event handler.
Same interface as WecomBotClient.on_feedback for compatibility.
"""
def decorator(func: Callable):
if 'feedback' not in self._message_handlers:
self._message_handlers['feedback'] = []
self._message_handlers['feedback'].append(func)
return func
return decorator
async def reply_stream(
self,
req_id: str,
stream_id: str,
content: str,
finish: bool = False,
feedback_id: str = '',
) -> Optional[dict]:
"""Send a streaming reply frame.
@@ -199,22 +178,17 @@ class WecomBotWsClient:
stream_id: The stream ID for this streaming session.
content: The content to send (supports Markdown).
finish: Whether this is the final chunk.
feedback_id: Optional feedback ID for receiving user feedback (like/dislike).
Returns:
The ACK frame dict, or None on failure.
"""
stream_payload = {
'id': stream_id,
'finish': finish,
'content': content,
}
if feedback_id:
stream_payload['feedback'] = {'id': feedback_id}
body = {
'msgtype': 'stream',
'stream': stream_payload,
'stream': {
'id': stream_id,
'finish': finish,
'content': content,
},
}
return await self._send_reply(req_id, body)
@@ -279,23 +253,11 @@ class WecomBotWsClient:
# Skip sending if content hasn't changed (e.g. during tool call argument streaming)
if not is_final and content == self._stream_last_content.get(msg_id):
return True
# Generate feedback_id for final chunk
feedback_id = ''
if is_final:
feedback_id = _generate_req_id('feedback')
self._msg_feedback_ids[msg_id] = feedback_id
# Store session info for feedback tracking
session_info = self._stream_sessions.get(msg_id)
if session_info:
self._feedback_sessions[feedback_id] = session_info
await self.reply_stream(req_id, stream_id, content, finish=is_final, feedback_id=feedback_id)
await self.reply_stream(req_id, stream_id, content, finish=is_final)
self._stream_last_content[msg_id] = content
if is_final:
self._stream_ids.pop(msg_id, None)
self._stream_last_content.pop(msg_id, None)
self._stream_sessions.pop(msg_id, None)
return True
except Exception:
await self.logger.error(f'Failed to push stream chunk: {traceback.format_exc()}')
@@ -483,15 +445,6 @@ class WecomBotWsClient:
msg_id = message_data.get('msgid', '')
if msg_id:
self._stream_ids[msg_id] = f'{req_id}|{stream_id}'
# Store session info for feedback tracking
self._stream_sessions[msg_id] = {
'req_id': req_id,
'stream_id': stream_id,
'msg_id': msg_id,
'user_id': message_data.get('userid', ''),
'chat_id': message_data.get('chatid', ''),
'chat_type': message_data.get('type', 'single'),
}
message_data['stream_id'] = stream_id
message_data['req_id'] = req_id
@@ -501,7 +454,7 @@ class WecomBotWsClient:
await self.logger.error(f'Error in message callback: {traceback.format_exc()}')
async def _handle_event_callback(self, frame: dict):
"""Handle an incoming event callback frame (enter_chat, template_card_event, feedback_event, disconnected_event)."""
"""Handle an incoming event callback frame (enter_chat, template_card_event, etc.)."""
try:
body = frame.get('body', {})
req_id = frame.get('headers', {}).get('req_id', '')
@@ -526,54 +479,14 @@ class WecomBotWsClient:
if body.get('chatid'):
message_data['chatid'] = body.get('chatid', '')
if event_type == 'feedback_event':
feedback_event = event_info.get('feedback_event', {})
feedback_id = feedback_event.get('id', '')
feedback_type = feedback_event.get('type', 0)
feedback_content = feedback_event.get('content', '')
inaccurate_reasons = feedback_event.get('inaccurate_reason_list', [])
await self.logger.info(
f'收到用户反馈事件: feedback_id={feedback_id}, type={feedback_type}, '
f'content={feedback_content}, reasons={inaccurate_reasons}'
)
# Look up session by feedback_id
session_info = self._feedback_sessions.get(feedback_id)
session = None
if session_info:
session = StreamSession(
stream_id=session_info.get('stream_id', ''),
msg_id=session_info.get('msg_id', ''),
chat_id=session_info.get('chat_id') or None,
user_id=session_info.get('user_id') or None,
feedback_id=feedback_id,
)
await self.logger.info(
f'反馈关联到会话: stream_id={session.stream_id}, msg_id={session.msg_id}, user_id={session.user_id}'
)
else:
await self.logger.warning(f'未找到 feedback_id={feedback_id} 对应的会话')
for handler in self._message_handlers.get('feedback', []):
try:
await handler(
feedback_id=feedback_id,
feedback_type=feedback_type,
feedback_content=feedback_content,
inaccurate_reasons=inaccurate_reasons,
session=session,
)
except Exception:
await self.logger.error(f'Error in feedback handler: {traceback.format_exc()}')
return
event = wecombotevent.WecomBotEvent(message_data)
# Dispatch to event-specific handlers
if event_type in self._message_handlers:
for handler in self._message_handlers[event_type]:
await handler(event)
# Also dispatch to generic 'event' handlers
if 'event' in self._message_handlers:
for handler in self._message_handlers['event']:
await handler(event)

View File

@@ -4,7 +4,6 @@ import base64
import binascii
import httpx
import traceback
from urllib.parse import quote
from quart import Quart
import xml.etree.ElementTree as ET
from typing import Callable, Dict, Any
@@ -68,31 +67,6 @@ class WecomClient:
await self.logger.error(f'获取accesstoken失败:{response.json()}')
raise Exception(f'未获取access token: {data}')
async def get_user_info(self, userid: str) -> dict:
"""
Get user information by user ID using the application secret.
Args:
userid: The user ID to look up.
Returns:
dict: User information including 'name' field.
"""
if not await self.check_access_token():
self.access_token = await self.get_access_token(self.secret)
url = self.base_url + '/user/get?access_token=' + self.access_token + '&userid=' + quote(userid)
async with httpx.AsyncClient() as client:
response = await client.get(url)
data = response.json()
if data.get('errcode') == 40014 or data.get('errcode') == 42001:
self.access_token = await self.get_access_token(self.secret)
return await self.get_user_info(userid)
if data.get('errcode', 0) != 0:
await self.logger.error(f'获取用户信息失败:{data}')
return {}
return data
async def get_users(self):
if not self.check_access_token_for_contacts():
self.access_token_for_contacts = await self.get_access_token(self.secret_for_contacts)

View File

@@ -13,9 +13,9 @@ from .. import group
@group.group_class('files', '/api/v1/files')
class FilesRouterGroup(group.RouterGroup):
async def initialize(self) -> None:
@self.route('/image/<path:image_key>', methods=['GET'], auth_type=group.AuthType.NONE)
@self.route('/image/<image_key>', methods=['GET'], auth_type=group.AuthType.NONE)
async def _(image_key: str) -> quart.Response:
if '..' in image_key or '\\' in image_key:
if '/' in image_key or '\\' in image_key:
return quart.Response(status=404)
if not await self.ap.storage_mgr.storage_provider.exists(image_key):

View File

@@ -456,31 +456,6 @@ class MonitoringRouterGroup(group.RouterGroup):
'platform',
'user_id',
]
elif export_type == 'feedback':
data = await self.ap.monitoring_service.export_feedback(
bot_ids=bot_ids if bot_ids else None,
pipeline_ids=pipeline_ids if pipeline_ids else None,
start_time=start_time,
end_time=end_time,
limit=limit,
)
headers = [
'id',
'timestamp',
'feedback_id',
'feedback_type',
'feedback_content',
'inaccurate_reasons',
'bot_id',
'bot_name',
'pipeline_id',
'pipeline_name',
'session_id',
'message_id',
'stream_id',
'user_id',
'platform',
]
else:
return self.error(message=f'Invalid export type: {export_type}', code=400)
@@ -511,63 +486,3 @@ class MonitoringRouterGroup(group.RouterGroup):
)
return response, 200
@self.route('/feedback/stats', methods=['GET'], auth_type=group.AuthType.USER_TOKEN)
async def get_feedback_stats() -> str:
"""Get feedback statistics"""
# Parse query parameters
bot_ids = quart.request.args.getlist('botId')
pipeline_ids = quart.request.args.getlist('pipelineId')
start_time_str = quart.request.args.get('startTime')
end_time_str = quart.request.args.get('endTime')
# Parse datetime
start_time = parse_iso_datetime(start_time_str)
end_time = parse_iso_datetime(end_time_str)
stats = await self.ap.monitoring_service.get_feedback_stats(
bot_ids=bot_ids if bot_ids else None,
pipeline_ids=pipeline_ids if pipeline_ids else None,
start_time=start_time,
end_time=end_time,
)
return self.success(data=stats)
@self.route('/feedback', methods=['GET'], auth_type=group.AuthType.USER_TOKEN)
async def get_feedback() -> str:
"""Get feedback list"""
# Parse query parameters
bot_ids = quart.request.args.getlist('botId')
pipeline_ids = quart.request.args.getlist('pipelineId')
feedback_type_str = quart.request.args.get('feedbackType')
start_time_str = quart.request.args.get('startTime')
end_time_str = quart.request.args.get('endTime')
limit = int(quart.request.args.get('limit', 100))
offset = int(quart.request.args.get('offset', 0))
# Parse datetime
start_time = parse_iso_datetime(start_time_str)
end_time = parse_iso_datetime(end_time_str)
# Parse feedback type
feedback_type = int(feedback_type_str) if feedback_type_str else None
feedback_list, total = await self.ap.monitoring_service.get_feedback_list(
bot_ids=bot_ids if bot_ids else None,
pipeline_ids=pipeline_ids if pipeline_ids else None,
feedback_type=feedback_type,
start_time=start_time,
end_time=end_time,
limit=limit,
offset=offset,
)
return self.success(
data={
'feedback': feedback_list,
'total': total,
'limit': limit,
'offset': offset,
}
)

View File

@@ -1,384 +0,0 @@
"""Embed widget routes - serve embeddable chat widget for external websites.
All user-facing URLs are keyed by **bot_uuid** (not pipeline_uuid) so that
internal pipeline identifiers are never exposed to end-users. Each handler
resolves the bot_uuid to the owning ``web_page_bot`` RuntimeBot and extracts
the bound pipeline_uuid for internal routing.
"""
import asyncio
import datetime
import json
import logging
import uuid
import hmac
import hashlib
import time
import re
import httpx
import quart
from ... import group
from ......utils import paths
from ......platform.sources.websocket_manager import ws_connection_manager
logger = logging.getLogger(__name__)
# Cache the widget template content
_widget_template_cache: str | None = None
_logo_bytes_cache: bytes | None = None
def _is_valid_uuid(s: str) -> bool:
return bool(re.match(r'^[a-f0-9]{8}-[a-f0-9]{4}-[a-f0-9]{4}-[a-f0-9]{4}-[a-f0-9]{12}$', s))
def _get_widget_template() -> str:
"""Load and cache the widget JS template."""
global _widget_template_cache
if _widget_template_cache is None:
template_path = paths.get_resource_path('templates/embed/widget.js')
with open(template_path, 'r', encoding='utf-8') as f:
_widget_template_cache = f.read()
return _widget_template_cache
def _get_logo_bytes() -> bytes:
"""Load and cache the logo image."""
global _logo_bytes_cache
if _logo_bytes_cache is None:
logo_path = paths.get_resource_path('templates/embed/logo.webp')
with open(logo_path, 'rb') as f:
_logo_bytes_cache = f.read()
return _logo_bytes_cache
@group.group_class('embed', '/api/v1/embed')
class EmbedRouterGroup(group.RouterGroup):
# -- helpers -------------------------------------------------------------
def _resolve_bot(self, bot_uuid: str):
"""Resolve *bot_uuid* to ``(runtime_bot, pipeline_uuid)``.
Returns ``(None, None)`` when the bot does not exist, is not a
``web_page_bot``, is disabled, or has no pipeline bound.
"""
for bot in self.ap.platform_mgr.bots:
if (
bot.bot_entity.uuid == bot_uuid
and bot.bot_entity.adapter == 'web_page_bot'
and bot.bot_entity.enable
and bot.bot_entity.use_pipeline_uuid
):
return bot, bot.bot_entity.use_pipeline_uuid
return None, None
def _get_bot_config(self, bot_uuid: str) -> dict:
for bot in self.ap.platform_mgr.bots:
if bot.bot_entity.uuid == bot_uuid and bot.bot_entity.adapter == 'web_page_bot':
return bot.bot_entity.adapter_config
return {}
async def _verify_session_token(self, request, bot_uuid: str) -> bool:
config = self._get_bot_config(bot_uuid)
secret = config.get('turnstile_secret_key', '')
if not secret:
return True
auth_header = request.headers.get('Authorization', '')
if not auth_header.startswith('Bearer '):
return False
token = auth_header[7:]
try:
ts_str, mac = token.split('.', 1)
ts = float(ts_str)
if time.time() - ts > 86400:
return False
expected_mac = hmac.new(secret.encode(), f'{ts_str}'.encode(), hashlib.sha256).hexdigest()
return hmac.compare_digest(mac, expected_mac)
except Exception:
return False
# -- routes --------------------------------------------------------------
async def initialize(self) -> None:
@self.route('/<bot_uuid>/turnstile/verify', methods=['POST'], auth_type=group.AuthType.NONE)
async def verify_turnstile(bot_uuid: str) -> str:
if not _is_valid_uuid(bot_uuid):
return self.http_status(400, -1, 'Invalid bot_uuid format')
runtime_bot, pipeline_uuid = self._resolve_bot(bot_uuid)
if runtime_bot is None:
return self.http_status(404, -1, 'Bot not found or not available')
try:
data = await quart.request.get_json()
token = data.get('token')
if not token:
return self.http_status(400, -1, 'Token is required')
config = self._get_bot_config(bot_uuid)
secret = config.get('turnstile_secret_key', '')
if not secret:
ts = time.time()
return self.success(data={'token': f'{ts}.dummy'})
async with httpx.AsyncClient() as client:
resp = await client.post(
'https://challenges.cloudflare.com/turnstile/v0/siteverify',
data={'secret': secret, 'response': token},
)
result = resp.json()
if not result.get('success'):
return self.http_status(403, -1, 'Turnstile verification failed')
ts = time.time()
mac = hmac.new(secret.encode(), f'{ts}'.encode(), hashlib.sha256).hexdigest()
session_token = f'{ts}.{mac}'
return self.success(data={'token': session_token})
except Exception as e:
logger.error(f'Turnstile verify failed: {e}', exc_info=True)
return self.http_status(500, -1, 'Internal server error')
@self.route('/<bot_uuid>/widget.js', methods=['GET'], auth_type=group.AuthType.NONE)
async def serve_widget(bot_uuid: str) -> quart.Response:
"""Serve the embed widget JavaScript with injected configuration."""
if not _is_valid_uuid(bot_uuid):
return self.http_status(400, -1, 'Invalid bot_uuid format')
runtime_bot, pipeline_uuid = self._resolve_bot(bot_uuid)
if runtime_bot is None:
return quart.Response(
'// Bot not found or not available', status=404, content_type='application/javascript'
)
try:
template = _get_widget_template()
except FileNotFoundError:
return quart.Response('// Widget template not found', status=404, content_type='application/javascript')
base_url = quart.request.host_url.rstrip('/')
webhook_prefix = self.ap.instance_config.data.get('api', {}).get('webhook_prefix', '')
if webhook_prefix:
base_url = webhook_prefix.rstrip('/')
if not re.match(r'^https?://[a-zA-Z0-9._:/-]+$', base_url):
base_url = quart.request.host_url.rstrip('/')
config = self._get_bot_config(bot_uuid)
site_key = config.get('turnstile_site_key', '')
locale = config.get('language', 'en_US') or 'en_US'
bubble_icon = config.get('bubble_icon', 'logo') or 'logo'
widget_js = template.replace('__LANGBOT_TURNSTILE_SITE_KEY__', site_key)
widget_js = widget_js.replace('__LANGBOT_BOT_UUID__', bot_uuid)
widget_js = widget_js.replace('__LANGBOT_BASE_URL__', base_url)
widget_js = widget_js.replace('__LANGBOT_LOCALE__', locale)
widget_js = widget_js.replace('__LANGBOT_BUBBLE_ICON__', bubble_icon)
response = quart.Response(widget_js, content_type='application/javascript; charset=utf-8')
response.headers['Cache-Control'] = 'public, max-age=300'
return response
@self.route('/logo', methods=['GET'], auth_type=group.AuthType.NONE)
async def serve_logo() -> quart.Response:
"""Serve the LangBot logo for the embed widget."""
try:
logo_data = _get_logo_bytes()
except FileNotFoundError:
return quart.Response('', status=404)
response = quart.Response(logo_data, content_type='image/webp')
response.headers['Cache-Control'] = 'public, max-age=86400'
return response
@self.route('/<bot_uuid>/messages/<session_type>', methods=['GET'], auth_type=group.AuthType.NONE)
async def get_embed_messages(bot_uuid: str, session_type: str) -> str:
if not _is_valid_uuid(bot_uuid):
return self.http_status(400, -1, 'Invalid bot_uuid format')
runtime_bot, pipeline_uuid = self._resolve_bot(bot_uuid)
if runtime_bot is None:
return self.http_status(404, -1, 'Bot not found or not available')
if not await self._verify_session_token(quart.request, bot_uuid):
return self.http_status(403, -1, 'Unauthorized or session expired')
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:
logger.error(f'Failed to get embed messages: {e}', exc_info=True)
return self.http_status(500, -1, 'Internal server error')
@self.route('/<bot_uuid>/reset/<session_type>', methods=['POST'], auth_type=group.AuthType.NONE)
async def reset_embed_session(bot_uuid: str, session_type: str) -> str:
if not _is_valid_uuid(bot_uuid):
return self.http_status(400, -1, 'Invalid bot_uuid format')
runtime_bot, pipeline_uuid = self._resolve_bot(bot_uuid)
if runtime_bot is None:
return self.http_status(404, -1, 'Bot not found or not available')
if not await self._verify_session_token(quart.request, bot_uuid):
return self.http_status(403, -1, 'Unauthorized or session expired')
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:
logger.error(f'Failed to reset embed session: {e}', exc_info=True)
return self.http_status(500, -1, 'Internal server error')
@self.route('/<bot_uuid>/feedback', methods=['POST'], auth_type=group.AuthType.NONE)
async def submit_feedback(bot_uuid: str) -> str:
if not _is_valid_uuid(bot_uuid):
return self.http_status(400, -1, 'Invalid bot_uuid format')
runtime_bot, pipeline_uuid = self._resolve_bot(bot_uuid)
if runtime_bot is None:
return self.http_status(404, -1, 'Bot not found or not available')
if not await self._verify_session_token(quart.request, bot_uuid):
return self.http_status(403, -1, 'Unauthorized or session expired')
try:
data = await quart.request.get_json()
message_id = data.get('message_id', '')
feedback_type = data.get('feedback_type')
if feedback_type not in (1, 2, 3):
return self.http_status(400, -1, 'feedback_type must be 1 (like), 2 (dislike), or 3 (cancel)')
feedback_id = f'embed_{uuid.uuid4().hex[:12]}'
await self.ap.monitoring_service.record_feedback(
feedback_id=feedback_id,
feedback_type=feedback_type,
bot_id=runtime_bot.bot_entity.uuid,
bot_name=runtime_bot.bot_entity.name or bot_uuid,
pipeline_id=pipeline_uuid,
message_id=str(message_id),
platform='web_page_bot',
)
return self.success(data={'feedback_id': feedback_id})
except Exception as e:
logger.error(f'Failed to record feedback: {e}', exc_info=True)
return self.http_status(500, -1, 'Internal server error')
# -- Embed WebSocket endpoint ----------------------------------------
@self.quart_app.websocket(self.path + '/<bot_uuid>/ws/connect')
async def embed_websocket_connect(bot_uuid: str):
"""WebSocket connection for embed widget, keyed by bot_uuid."""
if not _is_valid_uuid(bot_uuid):
await quart.websocket.send(json.dumps({'type': 'error', 'message': 'Invalid bot_uuid format'}))
return
runtime_bot, pipeline_uuid = self._resolve_bot(bot_uuid)
if runtime_bot is None:
await quart.websocket.send(json.dumps({'type': 'error', 'message': 'Bot not found or not available'}))
return
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
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
try:
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', '')},
)
await quart.websocket.send(
json.dumps(
{
'type': 'connected',
'connection_id': connection.connection_id,
'bot_uuid': bot_uuid,
'session_type': session_type,
'timestamp': connection.created_at.isoformat(),
}
)
)
logger.debug(
f'Embed WebSocket connected: {connection.connection_id} '
f'(bot={bot_uuid}, pipeline={pipeline_uuid}, session_type={session_type})'
)
receive_task = asyncio.create_task(self._handle_receive(connection, websocket_adapter, runtime_bot))
send_task = asyncio.create_task(self._handle_send(connection))
try:
await asyncio.gather(receive_task, send_task)
except Exception as e:
logger.error(f'Embed WebSocket task error: {e}')
finally:
await ws_connection_manager.remove_connection(connection.connection_id)
except Exception as e:
logger.error(f'Embed WebSocket connection error: {e}', exc_info=True)
try:
await quart.websocket.send(json.dumps({'type': 'error', 'message': 'Internal server error'}))
except Exception:
pass
# -- WebSocket receive/send helpers --------------------------------------
async def _handle_receive(self, connection, websocket_adapter, owner_bot):
try:
while connection.is_active:
message = await quart.websocket.receive()
await ws_connection_manager.update_activity(connection.connection_id)
try:
data = json.loads(message)
message_type = data.get('type', 'message')
if message_type == 'ping':
await connection.send_queue.put(
{'type': 'pong', 'timestamp': datetime.datetime.now().isoformat()}
)
elif message_type == 'message':
await websocket_adapter.handle_websocket_message(connection, data, owner_bot=owner_bot)
elif message_type == 'disconnect':
break
except json.JSONDecodeError:
await connection.send_queue.put({'type': 'error', 'message': 'Invalid JSON format'})
except Exception as e:
logger.error(f'Embed receive error: {e}', exc_info=True)
finally:
connection.is_active = False
async def _handle_send(self, connection):
try:
while connection.is_active:
try:
message = await asyncio.wait_for(connection.send_queue.get(), timeout=1.0)
await quart.websocket.send(json.dumps(message))
except asyncio.TimeoutError:
continue
except Exception as e:
logger.error(f'Embed send error: {e}', exc_info=True)
finally:
connection.is_active = False

View File

@@ -43,9 +43,6 @@ class WebSocketChatRouterGroup(group.RouterGroup):
await quart.websocket.send(json.dumps({'type': 'error', 'message': 'WebSocket adapter not found'}))
return
# Find the owning bot for this pipeline (e.g. a web_page_bot)
owner_bot = self._find_owner_bot(pipeline_uuid)
# 注册连接
connection = await ws_connection_manager.add_connection(
websocket=quart.websocket._get_current_object(),
@@ -73,7 +70,7 @@ class WebSocketChatRouterGroup(group.RouterGroup):
)
# 创建接收和发送任务
receive_task = asyncio.create_task(self._handle_receive(connection, websocket_adapter, owner_bot))
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
@@ -181,14 +178,7 @@ class WebSocketChatRouterGroup(group.RouterGroup):
except Exception as e:
return self.http_status(500, -1, f'Internal server error: {str(e)}')
def _find_owner_bot(self, pipeline_uuid: str):
"""Find a user-created bot (e.g. web_page_bot) that owns this pipeline."""
for bot in self.ap.platform_mgr.bots:
if bot.bot_entity.adapter == 'web_page_bot' and bot.bot_entity.use_pipeline_uuid == pipeline_uuid:
return bot
return None
async def _handle_receive(self, connection, websocket_adapter, owner_bot=None):
async def _handle_receive(self, connection, websocket_adapter):
"""处理接收消息的任务"""
try:
while connection.is_active:
@@ -213,7 +203,7 @@ class WebSocketChatRouterGroup(group.RouterGroup):
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, owner_bot=owner_bot)
await websocket_adapter.handle_websocket_message(connection, data)
elif message_type == 'disconnect':
# 客户端主动断开

View File

@@ -1,6 +1,5 @@
import quart
import mimetypes
import asyncio
from ... import group
from langbot.pkg.utils import importutil
@@ -36,640 +35,3 @@ class AdaptersRouterGroup(group.RouterGroup):
return quart.Response(
importutil.read_resource_file_bytes(icon_path), mimetype=mimetypes.guess_type(icon_path)[0]
)
# In-memory session store for active registrations
_create_app_sessions: dict = {}
_SESSION_TTL = 900 # 15 minutes
def _cleanup_expired_sessions():
"""Remove sessions that have exceeded their TTL."""
import time
now = time.time()
expired = [sid for sid, s in _create_app_sessions.items() if now - s.get('created_at', 0) > _SESSION_TTL]
for sid in expired:
session = _create_app_sessions.pop(sid, None)
if session and session.get('task') and not session['task'].done():
session['task'].cancel()
@self.route('/lark/create-app', methods=['POST'])
async def _() -> str:
"""Start Feishu one-click app registration. Returns session_id + QR code URL."""
import uuid
import time
import lark_oapi as lark
from lark_oapi.scene.registration.errors import AppAccessDeniedError, AppExpiredError
_cleanup_expired_sessions()
session_id = str(uuid.uuid4())
loop = asyncio.get_running_loop()
session = {
'status': 'pending',
'qr_url': None,
'expire_at': None,
'app_id': None,
'app_secret': None,
'error': None,
'created_at': time.time(),
}
_create_app_sessions[session_id] = session
def on_qr_code(info):
# May be called from a background thread by the SDK;
# use call_soon_threadsafe to safely update session state.
def _update():
session['qr_url'] = info['url']
session['expire_at'] = time.time() + 600 # 10 minutes
session['status'] = 'waiting'
loop.call_soon_threadsafe(_update)
async def run_registration():
try:
result = await lark.aregister_app(
on_qr_code=on_qr_code,
source='langbot',
)
session['status'] = 'success'
session['app_id'] = result['client_id']
session['app_secret'] = result['client_secret']
except AppAccessDeniedError:
session['status'] = 'error'
session['error'] = 'User denied authorization'
except AppExpiredError:
session['status'] = 'error'
session['error'] = 'QR code expired'
except Exception as e:
session['status'] = 'error'
session['error'] = str(e)
task = asyncio.create_task(run_registration())
session['task'] = task
# Wait for QR code to be ready (max 10 seconds)
for _ in range(20):
if session['qr_url']:
break
await asyncio.sleep(0.5)
if not session['qr_url']:
task.cancel()
session['status'] = 'error'
session['error'] = 'Timeout waiting for QR code'
return self.http_status(504, -1, 'Timeout waiting for QR code')
return self.success(
data={
'session_id': session_id,
'qr_url': session['qr_url'],
'expire_at': session['expire_at'],
}
)
@self.route('/lark/create-app/status/<session_id>', methods=['GET'])
async def _(session_id: str) -> str:
"""Poll registration status."""
session = _create_app_sessions.get(session_id)
if not session:
return self.http_status(404, -1, 'Session not found')
data = {'status': session['status']}
if session['status'] == 'success':
data['app_id'] = session['app_id']
data['app_secret'] = session['app_secret']
_create_app_sessions.pop(session_id, None)
elif session['status'] == 'error':
data['error'] = session['error']
_create_app_sessions.pop(session_id, None)
return self.success(data=data)
@self.route('/lark/create-app/<session_id>', methods=['DELETE'])
async def _(session_id: str) -> str:
"""Cancel and clean up a registration session."""
session = _create_app_sessions.pop(session_id, None)
if session and session.get('task') and not session['task'].done():
session['task'].cancel()
return self.success(data={})
# -----------------------------------------------------------------------
# WeChat QR Code Login
# -----------------------------------------------------------------------
_weixin_login_sessions: dict = {}
_WEIXIN_SESSION_TTL = 600 # 10 minutes (3 retries × 3 min QR validity)
def _cleanup_expired_weixin_sessions():
import time
now = time.time()
expired = [
sid for sid, s in _weixin_login_sessions.items() if now - s.get('created_at', 0) > _WEIXIN_SESSION_TTL
]
for sid in expired:
session = _weixin_login_sessions.pop(sid, None)
if session and session.get('task') and not session['task'].done():
session['task'].cancel()
@self.route('/weixin/login', methods=['POST'])
async def _() -> str:
"""Start WeChat QR code login. Returns session_id + QR code data URL."""
import uuid
import time
import io
import base64
from langbot.libs.openclaw_weixin_api.client import OpenClawWeixinClient, DEFAULT_BASE_URL
_cleanup_expired_weixin_sessions()
session_id = str(uuid.uuid4())
loop = asyncio.get_running_loop()
session = {
'status': 'pending',
'qr_data_url': None,
'expire_at': None,
'token': None,
'base_url': None,
'account_id': None,
'error': None,
'created_at': time.time(),
}
_weixin_login_sessions[session_id] = session
client = OpenClawWeixinClient(
base_url=DEFAULT_BASE_URL,
token='',
)
async def run_login():
try:
import qrcode as qr_lib
for _attempt in range(3):
qr_resp = await client.fetch_qrcode()
if not qr_resp.qrcode or not qr_resp.qrcode_img_content:
raise Exception('Failed to get QR code from server')
# Generate QR code image locally
qr = qr_lib.QRCode(error_correction=qr_lib.constants.ERROR_CORRECT_L)
qr.add_data(qr_resp.qrcode_img_content)
qr.make(fit=True)
img = qr.make_image(fill_color='black', back_color='white')
buf = io.BytesIO()
img.save(buf, format='PNG')
b64 = base64.b64encode(buf.getvalue()).decode('utf-8')
data_url = f'data:image/png;base64,{b64}'
def _update_qr():
session['qr_data_url'] = data_url
session['expire_at'] = time.time() + 480 # 8 minutes
session['status'] = 'waiting'
loop.call_soon_threadsafe(_update_qr)
# Poll for scan status
deadline = loop.time() + 180
while loop.time() < deadline:
try:
status_resp = await client.poll_qrcode_status(qr_resp.qrcode)
except Exception:
await asyncio.sleep(2)
continue
if status_resp.status == 'confirmed' and status_resp.bot_token:
session['status'] = 'success'
session['token'] = status_resp.bot_token
session['base_url'] = status_resp.baseurl or client.base_url
session['account_id'] = status_resp.ilink_bot_id or ''
return
if status_resp.status == 'expired':
break # retry with new QR code
await asyncio.sleep(1)
else:
pass # timeout, retry
# All retries exhausted
session['status'] = 'error'
session['error'] = 'QR code login failed: max retries exceeded'
except Exception as e:
session['status'] = 'error'
session['error'] = str(e)
finally:
await client.close()
task = asyncio.create_task(run_login())
session['task'] = task
# Wait for QR code to be ready (max 10 seconds)
for _ in range(20):
if session['qr_data_url']:
break
await asyncio.sleep(0.5)
if not session['qr_data_url']:
task.cancel()
session['status'] = 'error'
session['error'] = 'Timeout waiting for QR code'
return self.http_status(504, -1, 'Timeout waiting for QR code')
return self.success(
data={
'session_id': session_id,
'qr_data_url': session['qr_data_url'],
'expire_at': session['expire_at'],
}
)
@self.route('/weixin/login/status/<session_id>', methods=['GET'])
async def _(session_id: str) -> str:
"""Poll WeChat login status."""
session = _weixin_login_sessions.get(session_id)
if not session:
return self.http_status(404, -1, 'Session not found')
data = {'status': session['status']}
if session['status'] == 'success':
data['token'] = session['token']
data['base_url'] = session['base_url']
data['account_id'] = session['account_id']
_weixin_login_sessions.pop(session_id, None)
elif session['status'] == 'error':
data['error'] = session['error']
_weixin_login_sessions.pop(session_id, None)
return self.success(data=data)
@self.route('/weixin/login/<session_id>', methods=['DELETE'])
async def _(session_id: str) -> str:
"""Cancel and clean up a WeChat login session."""
session = _weixin_login_sessions.pop(session_id, None)
if session and session.get('task') and not session['task'].done():
session['task'].cancel()
return self.success(data={})
# -----------------------------------------------------------------------
# DingTalk Device Flow QR Code Login
# -----------------------------------------------------------------------
_dingtalk_sessions: dict = {}
_DINGTALK_SESSION_TTL = 600 # 10 minutes (QR code validity window)
def _cleanup_expired_dingtalk_sessions():
import time
now = time.time()
expired = [
sid for sid, s in _dingtalk_sessions.items() if now - s.get('created_at', 0) > _DINGTALK_SESSION_TTL
]
for sid in expired:
session = _dingtalk_sessions.pop(sid, None)
if session and session.get('task') and not session['task'].done():
session['task'].cancel()
@self.route('/dingtalk/create-app', methods=['POST'])
async def _() -> str:
"""Start DingTalk one-click app creation via Device Flow. Returns session_id + QR code URL."""
import uuid
import time
import aiohttp
DINGTALK_BASE_URL = 'https://oapi.dingtalk.com'
_cleanup_expired_dingtalk_sessions()
session_id = str(uuid.uuid4())
session = {
'status': 'pending',
'qr_url': None,
'expire_at': None,
'client_id': None,
'client_secret': None,
'error': None,
'created_at': time.time(),
'device_code': None,
'interval': 5,
}
_dingtalk_sessions[session_id] = session
async def run_device_flow():
try:
timeout = aiohttp.ClientTimeout(total=10)
async with aiohttp.ClientSession(timeout=timeout) as http:
# Step 1: Init — get nonce
async with http.post(
f'{DINGTALK_BASE_URL}/app/registration/init',
json={'source': 'langbot'},
) as resp:
try:
data = await resp.json()
except (aiohttp.ContentTypeError, ValueError):
session['status'] = 'error'
session['error'] = 'Invalid response from DingTalk service'
return
if data.get('errcode', -1) != 0:
session['status'] = 'error'
session['error'] = data.get('errmsg', 'Failed to init')
return
nonce = data['nonce']
# Step 2: Begin — get device_code + QR URL
async with http.post(
f'{DINGTALK_BASE_URL}/app/registration/begin',
json={'nonce': nonce},
) as resp:
try:
data = await resp.json()
except (aiohttp.ContentTypeError, ValueError):
session['status'] = 'error'
session['error'] = 'Invalid response from DingTalk service'
return
if data.get('errcode', -1) != 0:
session['status'] = 'error'
session['error'] = data.get('errmsg', 'Failed to begin authorization')
return
device_code = data['device_code']
verification_uri_complete = data.get('verification_uri_complete', '')
expires_in = data.get('expires_in', 7200)
interval = data.get('interval', 5)
session['device_code'] = device_code
session['interval'] = interval
session['qr_url'] = verification_uri_complete
session['expire_at'] = time.time() + 600 # QR code valid for ~10 min
session['status'] = 'waiting'
# Step 3: Poll for authorization result
deadline = time.time() + expires_in
while time.time() < deadline:
await asyncio.sleep(interval)
async with http.post(
f'{DINGTALK_BASE_URL}/app/registration/poll',
json={'device_code': device_code},
) as poll_resp:
try:
poll_data = await poll_resp.json()
except (aiohttp.ContentTypeError, ValueError):
continue
if poll_data.get('errcode', -1) != 0:
session['status'] = 'error'
session['error'] = poll_data.get('errmsg', 'Poll failed')
return
status = poll_data.get('status', '')
if status == 'SUCCESS':
session['status'] = 'success'
session['client_id'] = poll_data.get('client_id', '')
session['client_secret'] = poll_data.get('client_secret', '')
return
elif status == 'FAIL':
session['status'] = 'error'
session['error'] = poll_data.get('fail_reason', 'Authorization failed')
return
elif status == 'EXPIRED':
session['status'] = 'error'
session['error'] = 'QR code expired'
return
# status == 'WAITING': continue polling
# Timeout
session['status'] = 'error'
session['error'] = 'QR code expired'
except asyncio.CancelledError:
return
except Exception as e:
session['status'] = 'error'
session['error'] = str(e)
task = asyncio.create_task(run_device_flow())
session['task'] = task
# Wait for QR code to be ready (max 10 seconds)
for _ in range(20):
if session['qr_url'] or session['error']:
break
await asyncio.sleep(0.5)
if session['error']:
task.cancel()
return self.http_status(502, -1, session['error'])
if not session['qr_url']:
task.cancel()
session['status'] = 'error'
session['error'] = 'Timeout waiting for QR code'
return self.http_status(504, -1, 'Timeout waiting for QR code')
return self.success(
data={
'session_id': session_id,
'qr_url': session['qr_url'],
'expire_at': session['expire_at'],
}
)
@self.route('/dingtalk/create-app/status/<session_id>', methods=['GET'])
async def _(session_id: str) -> str:
"""Poll DingTalk Device Flow status."""
_cleanup_expired_dingtalk_sessions()
session = _dingtalk_sessions.get(session_id)
if not session:
return self.http_status(404, -1, 'Session not found')
data = {'status': session['status']}
if session['status'] == 'success':
data['client_id'] = session['client_id']
data['client_secret'] = session['client_secret']
_dingtalk_sessions.pop(session_id, None)
elif session['status'] == 'error':
data['error'] = session['error']
_dingtalk_sessions.pop(session_id, None)
return self.success(data=data)
@self.route('/dingtalk/create-app/<session_id>', methods=['DELETE'])
async def _(session_id: str) -> str:
"""Cancel and clean up a DingTalk Device Flow session."""
session = _dingtalk_sessions.pop(session_id, None)
if session and session.get('task') and not session['task'].done():
session['task'].cancel()
return self.success(data={})
# -----------------------------------------------------------------------
# WeComBot QR Code One-Click Create
# -----------------------------------------------------------------------
_wecombot_sessions: dict = {}
_WECOMBOT_SESSION_TTL = 300 # 5 minutes (WeCom QR validity window)
def _cleanup_expired_wecombot_sessions():
import time
now = time.time()
expired = [
sid for sid, s in _wecombot_sessions.items() if now - s.get('created_at', 0) > _WECOMBOT_SESSION_TTL
]
for sid in expired:
session = _wecombot_sessions.pop(sid, None)
if session and session.get('task') and not session['task'].done():
session['task'].cancel()
@self.route('/wecombot/create-bot', methods=['POST'])
async def _() -> str:
"""Start WeComBot one-click creation via QR code. Returns session_id + QR code URL."""
import uuid
import time
import aiohttp
WECOM_QC_GENERATE_URL = 'https://work.weixin.qq.com/ai/qc/generate'
WECOM_QC_QUERY_URL = 'https://work.weixin.qq.com/ai/qc/query_result'
_cleanup_expired_wecombot_sessions()
session_id = str(uuid.uuid4())
session = {
'status': 'pending',
'qr_url': None,
'expire_at': None,
'botid': None,
'secret': None,
'error': None,
'created_at': time.time(),
'scode': None,
'task': None,
}
_wecombot_sessions[session_id] = session
async def run_qr_flow():
try:
timeout = aiohttp.ClientTimeout(total=10)
async with aiohttp.ClientSession(timeout=timeout) as http:
# Step 1: Generate QR code
async with http.get(
f'{WECOM_QC_GENERATE_URL}?source=langbot&plat=0',
) as resp:
try:
data = await resp.json()
except (aiohttp.ContentTypeError, ValueError):
session['status'] = 'error'
session['error'] = 'Invalid response from WeCom service'
return
if not data.get('data', {}).get('scode') or not data.get('data', {}).get('auth_url'):
session['status'] = 'error'
session['error'] = data.get('errmsg', 'Failed to generate QR code')
return
scode = data['data']['scode']
auth_url = data['data']['auth_url']
session['scode'] = scode
session['qr_url'] = auth_url
session['expire_at'] = time.time() + _WECOMBOT_SESSION_TTL
session['status'] = 'waiting'
# Step 2: Poll for scan result
deadline = time.time() + _WECOMBOT_SESSION_TTL
while time.time() < deadline:
await asyncio.sleep(3)
async with http.get(
f'{WECOM_QC_QUERY_URL}?scode={scode}',
) as poll_resp:
try:
poll_data = await poll_resp.json()
except (aiohttp.ContentTypeError, ValueError):
continue
status = poll_data.get('data', {}).get('status', '')
if status == 'success':
bot_info = poll_data.get('data', {}).get('bot_info', {})
if bot_info.get('botid') and bot_info.get('secret'):
session['status'] = 'success'
session['botid'] = bot_info['botid']
session['secret'] = bot_info['secret']
return
else:
session['status'] = 'error'
session['error'] = 'Scan succeeded but bot info is incomplete'
return
# Timeout
session['status'] = 'error'
session['error'] = 'QR code expired'
except asyncio.CancelledError:
return
except Exception as e:
session['status'] = 'error'
session['error'] = str(e)
task = asyncio.create_task(run_qr_flow())
session['task'] = task
# Wait for QR code to be ready (max 10 seconds)
for _ in range(20):
if session['qr_url'] or session['error']:
break
await asyncio.sleep(0.5)
if session['error']:
task.cancel()
return self.http_status(502, -1, session['error'])
if not session['qr_url']:
task.cancel()
session['status'] = 'error'
session['error'] = 'Timeout waiting for QR code'
return self.http_status(504, -1, 'Timeout waiting for QR code')
return self.success(
data={
'session_id': session_id,
'qr_url': session['qr_url'],
'expire_at': session['expire_at'],
}
)
@self.route('/wecombot/create-bot/status/<session_id>', methods=['GET'])
async def _(session_id: str) -> str:
"""Poll WeComBot creation status."""
_cleanup_expired_wecombot_sessions()
session = _wecombot_sessions.get(session_id)
if not session:
return self.http_status(404, -1, 'Session not found')
data = {'status': session['status']}
if session['status'] == 'success':
data['botid'] = session['botid']
data['secret'] = session['secret']
_wecombot_sessions.pop(session_id, None)
elif session['status'] == 'error':
data['error'] = session['error']
_wecombot_sessions.pop(session_id, None)
return self.success(data=data)
@self.route('/wecombot/create-bot/<session_id>', methods=['DELETE'])
async def _(session_id: str) -> str:
"""Cancel and clean up a WeComBot creation session."""
session = _wecombot_sessions.pop(session_id, None)
if session and session.get('task') and not session['task'].done():
session['task'].cancel()
return self.success(data={})

View File

@@ -6,48 +6,11 @@ import re
import httpx
import uuid
import os
import posixpath
from .....core import taskmgr
from .. import group
from langbot_plugin.runtime.plugin.mgr import PluginInstallSource
# Resolve the built-in page SDK JS from the langbot_plugin package
_PAGE_SDK_PATH = None
try:
import langbot_plugin.assets as _assets_pkg
_candidate = os.path.join(os.path.dirname(_assets_pkg.__file__), 'langbot-page-sdk.js')
if os.path.exists(_candidate):
_PAGE_SDK_PATH = _candidate
except Exception:
pass
def _normalize_plugin_asset_path(filepath: str) -> str | None:
filepath = filepath.replace('\\', '/')
if filepath.startswith('/'):
return None
normalized = posixpath.normpath(filepath)
if normalized == '.' or normalized.startswith('../') or normalized == '..':
return None
if normalized.startswith('components/pages/'):
return normalized
return f'assets/{normalized}'
def _get_request_origin() -> str:
"""Return the public request origin, respecting reverse-proxy headers."""
forwarded_proto = quart.request.headers.get('X-Forwarded-Proto', '').split(',')[0].strip()
forwarded_host = quart.request.headers.get('X-Forwarded-Host', '').split(',')[0].strip()
scheme = forwarded_proto or quart.request.scheme
host = forwarded_host or quart.request.host
return f'{scheme}://{host}'
@group.group_class('plugins', '/api/v1/plugins')
class PluginsRouterGroup(group.RouterGroup):
@@ -64,15 +27,6 @@ class PluginsRouterGroup(group.RouterGroup):
return None
async def initialize(self) -> None:
@self.route('/_sdk/page-sdk.js', methods=['GET'], auth_type=group.AuthType.NONE)
async def _() -> quart.Response:
"""Serve the built-in LangBot page SDK JavaScript."""
if _PAGE_SDK_PATH and os.path.exists(_PAGE_SDK_PATH):
with open(_PAGE_SDK_PATH, 'r') as f:
content = f.read()
return quart.Response(content, mimetype='application/javascript')
return quart.Response('// SDK not found', status=404, mimetype='application/javascript')
@self.route('', methods=['GET'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY)
async def _() -> str:
plugins = await self.ap.plugin_connector.list_plugins()
@@ -181,62 +135,15 @@ class PluginsRouterGroup(group.RouterGroup):
return quart.Response(icon_data, mimetype=mime_type)
@self.route(
'/<author>/<plugin_name>/assets/<path:filepath>',
'/<author>/<plugin_name>/assets/<filepath>',
methods=['GET'],
auth_type=group.AuthType.NONE,
)
async def _(author: str, plugin_name: str, filepath: str) -> quart.Response:
asset_path = _normalize_plugin_asset_path(filepath)
if asset_path is None:
return quart.Response('Asset not found', status=404)
asset_data = await self.ap.plugin_connector.get_plugin_assets(author, plugin_name, asset_path)
if not asset_data.get('asset_base64'):
return quart.Response('Asset not found', status=404)
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']
resp = quart.Response(asset_bytes, mimetype=mime_type)
# CSP for HTML pages served to sandboxed iframes (opaque origin).
# 'self' doesn't work in sandboxed iframes — use actual server origin.
if mime_type and mime_type.startswith('text/html'):
origin = _get_request_origin()
resp.headers['Content-Security-Policy'] = (
f'default-src {origin}; '
f"script-src {origin} 'unsafe-inline'; "
f"style-src {origin} 'unsafe-inline'; "
f'img-src {origin} data:; '
f'connect-src {origin}; '
"frame-src 'none'; "
"object-src 'none'"
)
return resp
@self.route(
'/<author>/<plugin_name>/page-api',
methods=['POST'],
auth_type=group.AuthType.USER_TOKEN_OR_API_KEY,
)
async def _(author: str, plugin_name: str) -> str:
"""Forward a page API request to the plugin."""
data = await quart.request.json
if not isinstance(data, dict):
return self.http_status(400, -1, 'invalid request body')
page_id = data.get('page_id', '')
endpoint = data.get('endpoint', '')
method = data.get('method', 'POST')
body = data.get('body')
if not isinstance(page_id, str) or not isinstance(endpoint, str) or not isinstance(method, str):
return self.http_status(400, -1, 'invalid page api request')
if not endpoint.startswith('/') or '..' in endpoint:
return self.http_status(400, -1, 'invalid endpoint')
result = await self.ap.plugin_connector.handle_page_api(
author, plugin_name, page_id, endpoint, method.upper(), body
)
if result.get('error'):
return self.http_status(400, -1, result['error'])
return self.success(data=result.get('data'))
return quart.Response(asset_bytes, mimetype=mime_type)
@self.route('/github/releases', methods=['POST'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY)
async def _() -> str:
@@ -358,8 +265,6 @@ class PluginsRouterGroup(group.RouterGroup):
return self.http_status(400, -1, 'Missing asset_url parameter')
ctx = taskmgr.TaskContext.new()
ctx.metadata['plugin_name'] = f'{owner}/{repo}'
ctx.metadata['install_source'] = 'github'
install_info = {
'asset_url': asset_url,
'owner': owner,
@@ -390,17 +295,12 @@ class PluginsRouterGroup(group.RouterGroup):
data = await quart.request.json
plugin_author = data.get('plugin_author', '')
plugin_name = data.get('plugin_name', '')
ctx = taskmgr.TaskContext.new()
ctx.metadata['plugin_name'] = f'{plugin_author}/{plugin_name}'
ctx.metadata['install_source'] = 'marketplace'
wrapper = self.ap.task_mgr.create_user_task(
self.ap.plugin_connector.install_plugin(PluginInstallSource.MARKETPLACE, data, task_context=ctx),
kind='plugin-operation',
name='plugin-install-marketplace',
label=f'Installing plugin from marketplace {plugin_author}/{plugin_name}',
label=f'Installing plugin from marketplace ...{data}',
context=ctx,
)
@@ -423,13 +323,11 @@ class PluginsRouterGroup(group.RouterGroup):
}
ctx = taskmgr.TaskContext.new()
ctx.metadata['plugin_name'] = file.filename or 'local plugin'
ctx.metadata['install_source'] = 'local'
wrapper = self.ap.task_mgr.create_user_task(
self.ap.plugin_connector.install_plugin(PluginInstallSource.LOCAL, data, task_context=ctx),
kind='plugin-operation',
name='plugin-install-local',
label=f'Installing plugin from local {file.filename}',
label=f'Installing plugin from local ...{file.filename}',
context=ctx,
)

View File

@@ -97,51 +97,3 @@ class EmbeddingModelsRouterGroup(group.RouterGroup):
await self.ap.embedding_models_service.test_embedding_model(model_uuid, json_data)
return self.success()
@group.group_class('models/rerank', '/api/v1/provider/models/rerank')
class RerankModelsRouterGroup(group.RouterGroup):
async def initialize(self) -> None:
@self.route('', methods=['GET', 'POST'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY)
async def _() -> str:
if quart.request.method == 'GET':
provider_uuid = quart.request.args.get('provider_uuid')
if provider_uuid:
return self.success(
data={
'models': await self.ap.rerank_models_service.get_rerank_models_by_provider(provider_uuid)
}
)
return self.success(data={'models': await self.ap.rerank_models_service.get_rerank_models()})
elif quart.request.method == 'POST':
json_data = await quart.request.json
model_uuid = await self.ap.rerank_models_service.create_rerank_model(json_data)
return self.success(data={'uuid': model_uuid})
@self.route('/<model_uuid>', methods=['GET', 'PUT', 'DELETE'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY)
async def _(model_uuid: str) -> str:
if quart.request.method == 'GET':
model = await self.ap.rerank_models_service.get_rerank_model(model_uuid)
if model is None:
return self.http_status(404, -1, 'model not found')
return self.success(data={'model': model})
elif quart.request.method == 'PUT':
json_data = await quart.request.json
await self.ap.rerank_models_service.update_rerank_model(model_uuid, json_data)
return self.success()
elif quart.request.method == 'DELETE':
await self.ap.rerank_models_service.delete_rerank_model(model_uuid)
return self.success()
@self.route('/<model_uuid>/test', methods=['POST'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY)
async def _(model_uuid: str) -> str:
json_data = await quart.request.json
await self.ap.rerank_models_service.test_rerank_model(model_uuid, json_data)
return self.success()

View File

@@ -15,7 +15,6 @@ class ModelProvidersRouterGroup(group.RouterGroup):
counts = await self.ap.provider_service.get_provider_model_counts(provider['uuid'])
provider['llm_count'] = counts['llm_count']
provider['embedding_count'] = counts['embedding_count']
provider['rerank_count'] = counts['rerank_count']
return self.success(data={'providers': providers})
elif quart.request.method == 'POST':
json_data = await quart.request.json
@@ -33,7 +32,6 @@ class ModelProvidersRouterGroup(group.RouterGroup):
counts = await self.ap.provider_service.get_provider_model_counts(provider_uuid)
provider['llm_count'] = counts['llm_count']
provider['embedding_count'] = counts['embedding_count']
provider['rerank_count'] = counts['rerank_count']
return self.success(data={'provider': provider})
elif quart.request.method == 'PUT':
json_data = await quart.request.json
@@ -45,12 +43,3 @@ class ModelProvidersRouterGroup(group.RouterGroup):
return self.success()
except ValueError as e:
return self.http_status(400, -1, str(e))
@self.route('/<provider_uuid>/scan-models', methods=['GET'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY)
async def _(provider_uuid: str) -> str:
try:
model_type = quart.request.args.get('type')
result = await self.ap.provider_service.scan_provider_models(provider_uuid, model_type)
return self.success(data=result)
except ValueError as e:
return self.http_status(400, -1, str(e))

View File

@@ -1,45 +0,0 @@
from __future__ import annotations
from ... import group
@group.group_class('tools', '/api/v1/tools')
class ToolsRouterGroup(group.RouterGroup):
async def initialize(self) -> None:
@self.route('', methods=['GET'], auth_type=group.AuthType.USER_TOKEN)
async def _() -> str:
"""获取所有可用工具列表"""
tools = await self.ap.tool_mgr.get_all_tools()
tool_list = []
for tool in tools:
tool_list.append(
{
'name': tool.name,
'description': tool.description,
'human_desc': tool.human_desc,
'parameters': tool.parameters,
}
)
return self.success(data={'tools': tool_list})
@self.route('/<tool_name>', methods=['GET'], auth_type=group.AuthType.USER_TOKEN)
async def _(tool_name: str) -> str:
"""获取特定工具详情"""
tools = await self.ap.tool_mgr.get_all_tools()
for tool in tools:
if tool.name == tool_name:
return self.success(
data={
'tool': {
'name': tool.name,
'description': tool.description,
'human_desc': tool.human_desc,
'parameters': tool.parameters,
}
}
)
return self.http_status(404, -1, f'Tool not found: {tool_name}')

View File

@@ -1,11 +1,7 @@
import json
import quart
import sqlalchemy
from .. import group
from .....utils import constants
from .....entity.persistence.metadata import Metadata
@group.group_class('system', '/api/v1/system')
@@ -13,24 +9,6 @@ class SystemRouterGroup(group.RouterGroup):
async def initialize(self) -> None:
@self.route('/info', methods=['GET'], auth_type=group.AuthType.NONE)
async def _() -> str:
# Read wizard_status and wizard_progress from metadata table
wizard_status = 'none'
wizard_progress = None
try:
result = await self.ap.persistence_mgr.execute_async(
sqlalchemy.select(Metadata).where(Metadata.key.in_(['wizard_status', 'wizard_progress']))
)
for row in result:
if row.key == 'wizard_status':
wizard_status = row.value
elif row.key == 'wizard_progress':
try:
wizard_progress = json.loads(row.value)
except (json.JSONDecodeError, TypeError):
wizard_progress = None
except Exception:
pass
return self.success(
data={
'version': constants.semantic_version,
@@ -49,83 +27,17 @@ class SystemRouterGroup(group.RouterGroup):
'disable_models_service', False
),
'limitation': self.ap.instance_config.data.get('system', {}).get('limitation', {}),
'wizard_status': wizard_status,
'wizard_progress': wizard_progress,
}
)
@self.route('/wizard/completed', methods=['POST'], auth_type=group.AuthType.USER_TOKEN)
async def _() -> str:
"""Mark wizard status in metadata table and clear progress.
Accepts JSON body: { "status": "skipped" | "completed" }
"""
data = await quart.request.get_json(silent=True) or {}
status = data.get('status', 'completed')
if status not in ('skipped', 'completed'):
return self.http_status(400, 400, f'Invalid wizard status: {status}')
try:
result = await self.ap.persistence_mgr.execute_async(
sqlalchemy.select(Metadata).where(Metadata.key == 'wizard_status')
)
if result.first():
await self.ap.persistence_mgr.execute_async(
sqlalchemy.update(Metadata).where(Metadata.key == 'wizard_status').values(value=status)
)
else:
await self.ap.persistence_mgr.execute_async(
sqlalchemy.insert(Metadata).values(key='wizard_status', value=status)
)
# Clear wizard progress when wizard is completed/skipped
await self.ap.persistence_mgr.execute_async(
sqlalchemy.delete(Metadata).where(Metadata.key == 'wizard_progress')
)
except Exception as e:
return self.http_status(500, 500, f'Failed to update wizard status: {e}')
return self.success(data={})
@self.route('/wizard/progress', methods=['PUT'], auth_type=group.AuthType.USER_TOKEN)
async def _() -> str:
"""Save wizard progress to metadata table.
Accepts JSON body with wizard state fields:
{ "step": int, "selected_adapter": str|null, "created_bot_uuid": str|null,
"bot_saved": bool, "selected_runner": str|null }
"""
data = await quart.request.get_json(silent=True) or {}
progress_json = json.dumps(data, ensure_ascii=False)
try:
result = await self.ap.persistence_mgr.execute_async(
sqlalchemy.select(Metadata).where(Metadata.key == 'wizard_progress')
)
if result.first():
await self.ap.persistence_mgr.execute_async(
sqlalchemy.update(Metadata).where(Metadata.key == 'wizard_progress').values(value=progress_json)
)
else:
await self.ap.persistence_mgr.execute_async(
sqlalchemy.insert(Metadata).values(key='wizard_progress', value=progress_json)
)
except Exception as e:
return self.http_status(500, 500, f'Failed to save wizard progress: {e}')
return self.success(data={})
@self.route('/tasks', methods=['GET'], auth_type=group.AuthType.USER_TOKEN)
async def _() -> str:
task_type = quart.request.args.get('type')
task_kind = quart.request.args.get('kind')
if task_type == '':
task_type = None
if task_kind == '':
task_kind = None
return self.success(data=self.ap.task_mgr.get_tasks_dict(task_type, task_kind))
return self.success(data=self.ap.task_mgr.get_tasks_dict(task_type))
@self.route('/tasks/<task_id>', methods=['GET'], auth_type=group.AuthType.USER_TOKEN)
async def _(task_id: str) -> str:
@@ -136,10 +48,6 @@ class SystemRouterGroup(group.RouterGroup):
return self.success(data=task.to_dict())
@self.route('/storage-analysis', methods=['GET'], auth_type=group.AuthType.USER_TOKEN)
async def _() -> str:
return self.success(data=await self.ap.maintenance_service.get_storage_analysis())
@self.route('/debug/exec', methods=['POST'], auth_type=group.AuthType.USER_TOKEN)
async def _() -> str:
if not constants.debug_mode:

View File

@@ -146,7 +146,6 @@ class UserRouterGroup(group.RouterGroup):
return self.fail(3, str(e))
except ValueError as e:
traceback.print_exc()
self.ap.logger.warning(f'Space OAuth callback failed: {e}')
return self.fail(1, str(e))
except Exception as e:
traceback.print_exc()

View File

@@ -105,29 +105,6 @@ class HTTPController:
):
if os.path.exists(os.path.join(frontend_path, path + '.html')):
path += '.html'
elif not path.startswith('api/'):
# SPA fallback: serve index.html for all non-API, non-static routes
# so that React Router can handle client-side routing (Vite SPA).
# For /home/* sub-routes, first try parent .html files (pre-rendered pages).
if path.startswith('home/'):
segments = path.rstrip('/').split('/')
for i in range(len(segments) - 1, 0, -1):
parent_path = '/'.join(segments[:i]) + '.html'
if os.path.exists(os.path.join(frontend_path, parent_path)):
response = await quart.send_from_directory(
frontend_path, parent_path, mimetype='text/html'
)
response.headers['Cache-Control'] = 'no-cache, no-store, must-revalidate'
response.headers['Pragma'] = 'no-cache'
response.headers['Expires'] = '0'
return response
# Fallback to index.html for SPA client-side routing
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
else:
return await quart.send_from_directory(frontend_path, '404.html')

View File

@@ -68,6 +68,7 @@ class BotService:
'wecomcs',
'LINE',
'lark',
'gewechat',
]:
webhook_prefix = self.ap.instance_config.data['api'].get('webhook_prefix', 'http://127.0.0.1:5300')
extra_webhook_prefix = self.ap.instance_config.data['api'].get('extra_webhook_prefix', '')
@@ -99,11 +100,11 @@ class BotService:
# TODO: 检查配置信息格式
bot_data['uuid'] = str(uuid.uuid4())
# bind the most recently updated pipeline if any exist
# checkout the default pipeline
result = await self.ap.persistence_mgr.execute_async(
sqlalchemy.select(persistence_pipeline.LegacyPipeline)
.order_by(persistence_pipeline.LegacyPipeline.updated_at.desc())
.limit(1)
sqlalchemy.select(persistence_pipeline.LegacyPipeline).where(
persistence_pipeline.LegacyPipeline.is_default == True
)
)
pipeline = result.first()
if pipeline is not None:

View File

@@ -31,126 +31,15 @@ class KnowledgeService:
if not knowledge_engine_plugin_id:
raise ValueError('knowledge_engine_plugin_id is required')
creation_settings = kb_data.get('creation_settings', {})
retrieval_settings = kb_data.get('retrieval_settings', {})
# Validate required fields based on plugin's creation_schema and retrieval_schema
await self._validate_schema_required_fields(
knowledge_engine_plugin_id,
creation_settings,
retrieval_settings,
)
kb = await self.ap.rag_mgr.create_knowledge_base(
name=kb_data.get('name', 'Untitled'),
knowledge_engine_plugin_id=knowledge_engine_plugin_id,
creation_settings=creation_settings,
retrieval_settings=retrieval_settings,
creation_settings=kb_data.get('creation_settings', {}),
retrieval_settings=kb_data.get('retrieval_settings', {}),
description=kb_data.get('description', ''),
)
return kb.uuid
async def _validate_schema_required_fields(
self,
plugin_id: str,
creation_settings: dict,
retrieval_settings: dict,
) -> None:
"""Validate required fields based on plugin's creation_schema and retrieval_schema.
This is a business-agnostic validation that checks all fields marked as
required in the plugin's schema, regardless of field type.
Args:
plugin_id: Knowledge Engine plugin ID.
creation_settings: User-provided creation settings.
retrieval_settings: User-provided retrieval settings.
Raises:
ValueError: If any required field is missing or empty.
"""
# Validate creation_schema
try:
creation_schema = await self.ap.plugin_connector.get_rag_creation_schema(plugin_id)
self._check_required_fields(creation_schema, creation_settings, 'creation_settings')
except ValueError:
raise
except Exception as e:
self.ap.logger.warning(f'Failed to get creation_schema for validation: {e}')
# Validate retrieval_schema
try:
retrieval_schema = await self.ap.plugin_connector.get_rag_retrieval_schema(plugin_id)
self._check_required_fields(retrieval_schema, retrieval_settings, 'retrieval_settings')
except ValueError:
raise
except Exception as e:
self.ap.logger.warning(f'Failed to get retrieval_schema for validation: {e}')
def _check_required_fields(
self,
schema: dict | list,
settings: dict,
context: str,
) -> None:
"""Check required fields in schema against provided settings.
Args:
schema: Plugin-defined schema (can be list or dict with 'schema' key).
settings: User-provided settings values.
context: Context name for error messages (e.g., 'creation_settings').
Raises:
ValueError: If a required field is missing or empty.
"""
if not schema:
return
# schema can be a list directly, or a dict with 'schema' key
items = schema if isinstance(schema, list) else schema.get('schema', [])
if not items:
return
for item in items:
field_name = item.get('name')
if not field_name:
continue
is_required = item.get('required', False)
if not is_required:
continue
# Check show_if condition - if field is conditionally shown, only validate when condition is met
show_if = item.get('show_if')
if show_if:
depend_field = show_if.get('field')
operator = show_if.get('operator')
expected_value = show_if.get('value')
if depend_field and operator:
depend_value = settings.get(depend_field)
# If show_if condition is not met, skip validation for this field
if operator == 'eq' and depend_value != expected_value:
continue
if operator == 'neq' and depend_value == expected_value:
continue
if operator == 'in' and isinstance(expected_value, list) and depend_value not in expected_value:
continue
value = settings.get(field_name)
# Validate required field has a non-empty value
if value is None or (isinstance(value, str) and value.strip() == ''):
# Get field label for friendly error message
label = item.get('label', {})
field_label = (
label.get('en_US', field_name)
or label.get('zh_Hans', field_name)
or label.get('zh_Hant', field_name)
or field_name
)
raise ValueError(f'{field_label} is required ({context}.{field_name})')
async def update_knowledge_base(self, kb_uuid: str, kb_data: dict) -> None:
"""更新知识库"""
# Filter to only mutable fields

View File

@@ -1,309 +0,0 @@
from __future__ import annotations
import datetime
import os
import re
from pathlib import Path
from typing import Any
import sqlalchemy
from ....core import app
from ....entity.persistence import bstorage as persistence_bstorage
from ....entity.persistence import monitoring as persistence_monitoring
LOG_FILE_PATTERN = re.compile(r'^langbot-(\d{4}-\d{2}-\d{2})\.log(?:\.\d+)?$')
DEFAULT_UPLOAD_FILE_RETENTION_DAYS = 7
DEFAULT_LOG_RETENTION_DAYS = 3
class MaintenanceService:
"""Storage maintenance and diagnostics."""
ap: app.Application
def __init__(self, ap: app.Application) -> None:
self.ap = ap
async def cleanup_expired_files(self) -> dict[str, int]:
cleanup_cfg = self.ap.instance_config.data.get('storage', {}).get('cleanup', {})
upload_retention_days = self._positive_int(
cleanup_cfg.get('uploaded_file_retention_days'),
DEFAULT_UPLOAD_FILE_RETENTION_DAYS,
'storage.cleanup.uploaded_file_retention_days',
)
log_retention_days = self._positive_int(
cleanup_cfg.get('log_retention_days'),
DEFAULT_LOG_RETENTION_DAYS,
'storage.cleanup.log_retention_days',
)
return {
'uploaded_files': await self._cleanup_expired_uploaded_files(upload_retention_days),
'log_files': self._cleanup_expired_log_files(log_retention_days),
}
async def get_storage_analysis(self) -> dict[str, Any]:
cleanup_cfg = self.ap.instance_config.data.get('storage', {}).get('cleanup', {})
upload_retention_days = self._positive_int(
cleanup_cfg.get('uploaded_file_retention_days'),
DEFAULT_UPLOAD_FILE_RETENTION_DAYS,
'storage.cleanup.uploaded_file_retention_days',
)
log_retention_days = self._positive_int(
cleanup_cfg.get('log_retention_days'),
DEFAULT_LOG_RETENTION_DAYS,
'storage.cleanup.log_retention_days',
)
database_cfg = self.ap.instance_config.data.get('database', {})
database_type = database_cfg.get('use', 'sqlite')
database_path = (
Path(database_cfg.get('sqlite', {}).get('path', 'data/langbot.db')) if database_type == 'sqlite' else None
)
roots: list[tuple[str, Path | None]] = [
('database', database_path),
('logs', Path('data/logs')),
('storage', Path('data/storage')),
('vector_store', Path('data/chroma')),
('plugins', Path('data/plugins')),
('mcp', Path('data/mcp')),
('temp', Path('data/temp')),
]
sections = []
for key, path in roots:
sections.append(
{
'key': key,
'path': str(path) if path else '',
'exists': path.exists() if path else False,
'size_bytes': self._path_size(path) if path else 0,
'file_count': self._file_count(path) if path else 0,
}
)
monitoring_counts = await self._monitoring_counts()
binary_storage = await self._binary_storage_stats()
upload_candidates = await self._expired_uploaded_candidates(upload_retention_days)
log_candidates = self._expired_log_candidates(log_retention_days)
return {
'generated_at': datetime.datetime.now(datetime.timezone.utc).isoformat(),
'cleanup_policy': {
'uploaded_file_retention_days': upload_retention_days,
'log_retention_days': log_retention_days,
},
'sections': sections,
'database': {
'type': database_type,
'monitoring_counts': monitoring_counts,
'binary_storage': binary_storage,
},
'cleanup_candidates': {
'uploaded_files': upload_candidates,
'log_files': log_candidates,
},
'tasks': self.ap.task_mgr.get_stats() if self.ap.task_mgr else {},
}
async def _cleanup_expired_uploaded_files(self, retention_days: int) -> int:
provider = self.ap.storage_mgr.storage_provider
provider_name = provider.__class__.__name__
if provider_name == 'LocalStorageProvider':
candidates = self._expired_local_upload_candidates(retention_days, include_paths=True)
deleted = 0
for item in candidates:
try:
os.remove(item['path'])
deleted += 1
except FileNotFoundError:
pass
except Exception as e:
self.ap.logger.warning(f'Failed to delete expired uploaded file {item["key"]}: {e}')
return deleted
if provider_name == 'S3StorageProvider':
return await self._cleanup_expired_s3_uploaded_files(retention_days)
return 0
async def _expired_uploaded_candidates(self, retention_days: int) -> list[dict[str, Any]]:
provider_name = self.ap.storage_mgr.storage_provider.__class__.__name__
if provider_name == 'LocalStorageProvider':
return self._expired_local_upload_candidates(retention_days)
if provider_name == 'S3StorageProvider':
return await self._expired_s3_upload_candidates(retention_days)
return []
async def _cleanup_expired_s3_uploaded_files(self, retention_days: int) -> int:
provider = self.ap.storage_mgr.storage_provider
candidates = await self._expired_s3_upload_candidates(retention_days)
deleted = 0
for item in candidates:
await provider.delete(item['key'])
deleted += 1
return deleted
async def _expired_s3_upload_candidates(self, retention_days: int) -> list[dict[str, Any]]:
provider = self.ap.storage_mgr.storage_provider
cutoff = datetime.datetime.now(datetime.timezone.utc) - datetime.timedelta(days=retention_days)
candidates = []
paginator = provider.s3_client.get_paginator('list_objects_v2')
for page in paginator.paginate(Bucket=provider.bucket_name):
for obj in page.get('Contents', []):
key = obj.get('Key', '')
last_modified = obj.get('LastModified')
if not self._is_uploaded_file_key(key):
continue
if last_modified and last_modified < cutoff:
candidates.append(
{
'key': key,
'size_bytes': obj.get('Size', 0),
'modified_at': last_modified.isoformat(),
}
)
return candidates
def _cleanup_expired_log_files(self, retention_days: int) -> int:
deleted = 0
for item in self._expired_log_candidates(retention_days, include_paths=True):
try:
os.remove(item['path'])
deleted += 1
except FileNotFoundError:
pass
except Exception as e:
self.ap.logger.warning(f'Failed to delete expired log file {item["name"]}: {e}')
return deleted
def _expired_local_upload_candidates(
self, retention_days: int, include_paths: bool = False
) -> list[dict[str, Any]]:
storage_root = Path('data/storage')
if not storage_root.exists():
return []
cutoff = datetime.datetime.now().timestamp() - retention_days * 86400
candidates = []
for entry in storage_root.iterdir():
if not entry.is_file() or not self._is_uploaded_file_key(entry.name):
continue
stat = entry.stat()
if stat.st_mtime >= cutoff:
continue
item = {
'key': entry.name,
'size_bytes': stat.st_size,
'modified_at': datetime.datetime.fromtimestamp(stat.st_mtime, datetime.timezone.utc).isoformat(),
}
if include_paths:
item['path'] = str(entry)
candidates.append(item)
return candidates
def _expired_log_candidates(self, retention_days: int, include_paths: bool = False) -> list[dict[str, Any]]:
log_root = Path('data/logs')
if not log_root.exists():
return []
cutoff_date = datetime.date.today() - datetime.timedelta(days=retention_days - 1)
candidates = []
for entry in log_root.iterdir():
if not entry.is_file():
continue
match = LOG_FILE_PATTERN.match(entry.name)
if not match:
continue
try:
file_date = datetime.date.fromisoformat(match.group(1))
except ValueError:
continue
if file_date >= cutoff_date:
continue
stat = entry.stat()
item = {
'name': entry.name,
'date': file_date.isoformat(),
'size_bytes': stat.st_size,
}
if include_paths:
item['path'] = str(entry)
candidates.append(item)
return candidates
def _is_uploaded_file_key(self, key: str) -> bool:
return '/' not in key and not key.startswith('plugin_config_')
async def _monitoring_counts(self) -> dict[str, int]:
tables = {
'messages': persistence_monitoring.MonitoringMessage.id,
'llm_calls': persistence_monitoring.MonitoringLLMCall.id,
'embedding_calls': persistence_monitoring.MonitoringEmbeddingCall.id,
'errors': persistence_monitoring.MonitoringError.id,
'sessions': persistence_monitoring.MonitoringSession.session_id,
'feedback': persistence_monitoring.MonitoringFeedback.id,
}
counts: dict[str, int] = {}
for key, column in tables.items():
result = await self.ap.persistence_mgr.execute_async(sqlalchemy.select(sqlalchemy.func.count(column)))
counts[key] = result.scalar() or 0
return counts
async def _binary_storage_stats(self) -> dict[str, Any]:
count_result = await self.ap.persistence_mgr.execute_async(
sqlalchemy.select(sqlalchemy.func.count(persistence_bstorage.BinaryStorage.unique_key))
)
size_bytes = None
try:
size_result = await self.ap.persistence_mgr.execute_async(
sqlalchemy.select(sqlalchemy.func.sum(sqlalchemy.func.length(persistence_bstorage.BinaryStorage.value)))
)
size_bytes = size_result.scalar() or 0
except Exception as e:
self.ap.logger.warning(f'Failed to estimate binary storage size: {e}')
return {
'count': count_result.scalar() or 0,
'size_bytes': size_bytes,
}
def _path_size(self, path: Path) -> int:
if not path.exists():
return 0
if path.is_file():
return path.stat().st_size
total = 0
for root, _, files in os.walk(path):
for file_name in files:
file_path = Path(root) / file_name
try:
total += file_path.stat().st_size
except FileNotFoundError:
pass
return total
def _file_count(self, path: Path) -> int:
if not path.exists():
return 0
if path.is_file():
return 1
count = 0
for _, _, files in os.walk(path):
count += len(files)
return count
def _positive_int(self, value: Any, default: int, name: str) -> int:
try:
parsed = int(value)
except (TypeError, ValueError):
self.ap.logger.warning(f'Invalid {name}: {value!r}, using {default}')
return default
if parsed < 1:
self.ap.logger.warning(f'Invalid {name}: {value!r}, using {default}')
return default
return parsed

View File

@@ -23,17 +23,6 @@ def _parse_provider_api_keys(provider_dict: dict) -> dict:
return provider_dict
def _runtime_model_data(model_uuid: str, model_data: dict) -> dict:
"""Return model data for rebuilding runtime models after an update.
Update payloads intentionally omit uuid before writing to the database.
Runtime model entities still need the stable uuid so pipeline configs can
resolve the in-memory model immediately after an edit, without requiring a
process restart.
"""
return {**model_data, 'uuid': model_uuid}
class LLMModelsService:
ap: app.Application
@@ -184,7 +173,7 @@ class LLMModelsService:
raise Exception('provider not found')
runtime_llm_model = await self.ap.model_mgr.load_llm_model_with_provider(
persistence_model.LLMModel(**_runtime_model_data(model_uuid, model_data)),
persistence_model.LLMModel(**model_data),
runtime_provider,
)
self.ap.model_mgr.llm_models.append(runtime_llm_model)
@@ -345,7 +334,7 @@ class EmbeddingModelsService:
raise Exception('provider not found')
runtime_embedding_model = await self.ap.model_mgr.load_embedding_model_with_provider(
persistence_model.EmbeddingModel(**_runtime_model_data(model_uuid, model_data)),
persistence_model.EmbeddingModel(**model_data),
runtime_provider,
)
self.ap.model_mgr.embedding_models.append(runtime_embedding_model)
@@ -378,162 +367,3 @@ class EmbeddingModelsService:
input_text=['Hello, world!'],
extra_args={},
)
class RerankModelsService:
ap: app.Application
def __init__(self, ap: app.Application) -> None:
self.ap = ap
async def get_rerank_models(self) -> list[dict]:
"""Get all rerank models with provider info"""
result = await self.ap.persistence_mgr.execute_async(sqlalchemy.select(persistence_model.RerankModel))
models = result.all()
providers_result = await self.ap.persistence_mgr.execute_async(
sqlalchemy.select(persistence_model.ModelProvider)
)
providers = {p.uuid: p for p in providers_result.all()}
models_list = []
for model in models:
model_dict = self.ap.persistence_mgr.serialize_model(persistence_model.RerankModel, model)
provider = providers.get(model.provider_uuid)
if provider:
provider_dict = self.ap.persistence_mgr.serialize_model(persistence_model.ModelProvider, provider)
model_dict['provider'] = _parse_provider_api_keys(provider_dict)
models_list.append(model_dict)
return models_list
async def get_rerank_models_by_provider(self, provider_uuid: str) -> list[dict]:
"""Get rerank models by provider UUID"""
result = await self.ap.persistence_mgr.execute_async(
sqlalchemy.select(persistence_model.RerankModel).where(
persistence_model.RerankModel.provider_uuid == provider_uuid
)
)
models = result.all()
return [self.ap.persistence_mgr.serialize_model(persistence_model.RerankModel, m) for m in models]
async def create_rerank_model(self, model_data: dict, preserve_uuid: bool = False) -> str:
"""Create a new rerank model"""
if not preserve_uuid:
model_data['uuid'] = str(uuid.uuid4())
if 'provider' in model_data:
provider_data = model_data.pop('provider')
if provider_data.get('uuid'):
model_data['provider_uuid'] = provider_data['uuid']
else:
provider_uuid = await self.ap.provider_service.find_or_create_provider(
requester=provider_data.get('requester', ''),
base_url=provider_data.get('base_url', ''),
api_keys=provider_data.get('api_keys', []),
)
model_data['provider_uuid'] = provider_uuid
await self.ap.persistence_mgr.execute_async(
sqlalchemy.insert(persistence_model.RerankModel).values(**model_data)
)
runtime_provider = self.ap.model_mgr.provider_dict.get(model_data['provider_uuid'])
if runtime_provider is None:
raise Exception('provider not found')
runtime_rerank_model = await self.ap.model_mgr.load_rerank_model_with_provider(
persistence_model.RerankModel(**model_data),
runtime_provider,
)
self.ap.model_mgr.rerank_models.append(runtime_rerank_model)
return model_data['uuid']
async def get_rerank_model(self, model_uuid: str) -> dict | None:
"""Get a single rerank model with provider info"""
result = await self.ap.persistence_mgr.execute_async(
sqlalchemy.select(persistence_model.RerankModel).where(persistence_model.RerankModel.uuid == model_uuid)
)
model = result.first()
if model is None:
return None
model_dict = self.ap.persistence_mgr.serialize_model(persistence_model.RerankModel, model)
provider_result = await self.ap.persistence_mgr.execute_async(
sqlalchemy.select(persistence_model.ModelProvider).where(
persistence_model.ModelProvider.uuid == model.provider_uuid
)
)
provider = provider_result.first()
if provider:
provider_dict = self.ap.persistence_mgr.serialize_model(persistence_model.ModelProvider, provider)
model_dict['provider'] = _parse_provider_api_keys(provider_dict)
return model_dict
async def update_rerank_model(self, model_uuid: str, model_data: dict) -> None:
"""Update an existing rerank model"""
if 'uuid' in model_data:
del model_data['uuid']
if 'provider' in model_data:
provider_data = model_data.pop('provider')
if provider_data.get('uuid'):
model_data['provider_uuid'] = provider_data['uuid']
else:
provider_uuid = await self.ap.provider_service.find_or_create_provider(
requester=provider_data.get('requester', ''),
base_url=provider_data.get('base_url', ''),
api_keys=provider_data.get('api_keys', []),
)
model_data['provider_uuid'] = provider_uuid
await self.ap.persistence_mgr.execute_async(
sqlalchemy.update(persistence_model.RerankModel)
.where(persistence_model.RerankModel.uuid == model_uuid)
.values(**model_data)
)
await self.ap.model_mgr.remove_rerank_model(model_uuid)
runtime_provider = self.ap.model_mgr.provider_dict.get(model_data['provider_uuid'])
if runtime_provider is None:
raise Exception('provider not found')
runtime_rerank_model = await self.ap.model_mgr.load_rerank_model_with_provider(
persistence_model.RerankModel(**_runtime_model_data(model_uuid, model_data)),
runtime_provider,
)
self.ap.model_mgr.rerank_models.append(runtime_rerank_model)
async def delete_rerank_model(self, model_uuid: str) -> None:
"""Delete a rerank model"""
await self.ap.persistence_mgr.execute_async(
sqlalchemy.delete(persistence_model.RerankModel).where(persistence_model.RerankModel.uuid == model_uuid)
)
await self.ap.model_mgr.remove_rerank_model(model_uuid)
async def test_rerank_model(self, model_uuid: str, model_data: dict) -> None:
"""Test a rerank model"""
runtime_rerank_model: model_requester.RuntimeRerankModel | None = None
if model_uuid != '_':
for model in self.ap.model_mgr.rerank_models:
if model.model_entity.uuid == model_uuid:
runtime_rerank_model = model
break
if runtime_rerank_model is None:
raise Exception('model not found')
else:
runtime_rerank_model = await self.ap.model_mgr.init_temporary_runtime_rerank_model(model_data)
await runtime_rerank_model.provider.invoke_rerank(
model=runtime_rerank_model,
query='What is artificial intelligence?',
documents=[
'Artificial intelligence is a branch of computer science.',
'The weather is nice today.',
],
)

View File

@@ -16,121 +16,6 @@ class MonitoringService:
def __init__(self, ap: app.Application) -> None:
self.ap = ap
# ========== Cleanup Methods ==========
async def cleanup_expired_records(self, retention_days: int, batch_size: int = 1000) -> dict[str, int]:
"""Delete monitoring records older than the specified retention period.
Args:
retention_days: Number of days to retain records.
batch_size: Maximum rows to delete per table batch.
Returns:
A dict mapping table name to the number of deleted rows.
"""
if retention_days < 1:
raise ValueError('retention_days must be >= 1')
if batch_size < 1:
raise ValueError('batch_size must be >= 1')
cutoff = datetime.datetime.now(datetime.timezone.utc).replace(tzinfo=None) - datetime.timedelta(
days=retention_days
)
tables_and_columns: list[tuple[str, type, sqlalchemy.Column, sqlalchemy.Column]] = [
(
'monitoring_messages',
persistence_monitoring.MonitoringMessage,
persistence_monitoring.MonitoringMessage.timestamp,
persistence_monitoring.MonitoringMessage.id,
),
(
'monitoring_llm_calls',
persistence_monitoring.MonitoringLLMCall,
persistence_monitoring.MonitoringLLMCall.timestamp,
persistence_monitoring.MonitoringLLMCall.id,
),
(
'monitoring_embedding_calls',
persistence_monitoring.MonitoringEmbeddingCall,
persistence_monitoring.MonitoringEmbeddingCall.timestamp,
persistence_monitoring.MonitoringEmbeddingCall.id,
),
(
'monitoring_errors',
persistence_monitoring.MonitoringError,
persistence_monitoring.MonitoringError.timestamp,
persistence_monitoring.MonitoringError.id,
),
(
'monitoring_sessions',
persistence_monitoring.MonitoringSession,
persistence_monitoring.MonitoringSession.last_activity,
persistence_monitoring.MonitoringSession.session_id,
),
(
'monitoring_feedback',
persistence_monitoring.MonitoringFeedback,
persistence_monitoring.MonitoringFeedback.timestamp,
persistence_monitoring.MonitoringFeedback.id,
),
]
deleted_counts: dict[str, int] = {}
for table_name, model_cls, ts_column, pk_column in tables_and_columns:
deleted_counts[table_name] = await self._delete_expired_in_batches(
model_cls=model_cls,
ts_column=ts_column,
pk_column=pk_column,
cutoff=cutoff,
batch_size=batch_size,
)
if sum(deleted_counts.values()) > 0:
await self._release_sqlite_space()
return deleted_counts
async def _delete_expired_in_batches(
self,
model_cls: type,
ts_column: sqlalchemy.Column,
pk_column: sqlalchemy.Column,
cutoff: datetime.datetime,
batch_size: int,
) -> int:
deleted_total = 0
while True:
select_result = await self.ap.persistence_mgr.execute_async(
sqlalchemy.select(pk_column).where(ts_column < cutoff).limit(batch_size)
)
pk_values = list(select_result.scalars().all())
if not pk_values:
break
delete_result = await self.ap.persistence_mgr.execute_async(
sqlalchemy.delete(model_cls).where(pk_column.in_(pk_values))
)
deleted = delete_result.rowcount or 0
deleted_total += deleted
if len(pk_values) < batch_size:
break
return deleted_total
async def _release_sqlite_space(self) -> None:
database_type = self.ap.instance_config.data.get('database', {}).get('use', 'sqlite')
if database_type != 'sqlite':
return
async with self.ap.persistence_mgr.get_db_engine().connect() as conn:
autocommit_conn = await conn.execution_options(isolation_level='AUTOCOMMIT')
await autocommit_conn.execute(sqlalchemy.text('PRAGMA wal_checkpoint(TRUNCATE)'))
await autocommit_conn.execute(sqlalchemy.text('VACUUM'))
# ========== Recording Methods ==========
async def record_message(
@@ -1247,314 +1132,3 @@ class MonitoringService:
}
for row in rows
]
# ========== Feedback Methods ==========
async def record_feedback(
self,
feedback_id: str,
feedback_type: int,
feedback_content: str | None = None,
inaccurate_reasons: list[str] | None = None,
bot_id: str | None = None,
bot_name: str | None = None,
pipeline_id: str | None = None,
pipeline_name: str | None = None,
session_id: str | None = None,
message_id: str | None = None,
stream_id: str | None = None,
user_id: str | None = None,
platform: str | None = None,
) -> str:
"""Record user feedback (like/dislike) from AI Bot conversation.
Args:
feedback_id: Unique feedback identifier from platform (e.g., WeChat Work)
feedback_type: 1 = like (thumbs up), 2 = dislike (thumbs down)
feedback_content: Optional user feedback text
inaccurate_reasons: List of reasons for inaccurate response (for dislike)
bot_id: Bot ID
bot_name: Bot name
pipeline_id: Pipeline ID
pipeline_name: Pipeline name
session_id: Session ID
message_id: Message ID
stream_id: Stream ID (for WeChat Work streaming messages)
user_id: User ID
platform: Platform name (e.g., 'wecom')
Returns:
The record ID
"""
import json
now = datetime.datetime.now(datetime.timezone.utc).replace(tzinfo=None)
reasons_json = json.dumps(inaccurate_reasons, ensure_ascii=False) if inaccurate_reasons else None
MonitoringFeedback = persistence_monitoring.MonitoringFeedback
# Handle cancel feedback (type=3): delete existing record
if feedback_type == 3:
await self.ap.persistence_mgr.execute_async(
sqlalchemy.delete(MonitoringFeedback).where(MonitoringFeedback.feedback_id == feedback_id)
)
return None
# Check if record with this feedback_id already exists
existing_result = await self.ap.persistence_mgr.execute_async(
sqlalchemy.select(MonitoringFeedback).where(MonitoringFeedback.feedback_id == feedback_id)
)
existing_row = existing_result.first()
if existing_row:
# UPDATE existing record
existing = existing_row[0] if isinstance(existing_row, tuple) else existing_row
await self.ap.persistence_mgr.execute_async(
sqlalchemy.update(MonitoringFeedback)
.where(MonitoringFeedback.feedback_id == feedback_id)
.values(
timestamp=now,
feedback_type=feedback_type,
feedback_content=feedback_content,
inaccurate_reasons=reasons_json,
bot_id=bot_id or existing.bot_id,
bot_name=bot_name or existing.bot_name,
pipeline_id=pipeline_id or existing.pipeline_id,
pipeline_name=pipeline_name or existing.pipeline_name,
session_id=session_id or existing.session_id,
message_id=message_id or existing.message_id,
stream_id=stream_id or existing.stream_id,
user_id=user_id or existing.user_id,
platform=platform or existing.platform,
)
)
return existing.id
else:
# INSERT new record with IntegrityError defense
record_id = str(uuid.uuid4())
record_data = {
'id': record_id,
'timestamp': now,
'feedback_id': feedback_id,
'feedback_type': feedback_type,
'feedback_content': feedback_content,
'inaccurate_reasons': reasons_json,
'bot_id': bot_id,
'bot_name': bot_name,
'pipeline_id': pipeline_id,
'pipeline_name': pipeline_name,
'session_id': session_id,
'message_id': message_id,
'stream_id': stream_id,
'user_id': user_id,
'platform': platform,
}
try:
await self.ap.persistence_mgr.execute_async(sqlalchemy.insert(MonitoringFeedback).values(record_data))
return record_id
except Exception:
# UNIQUE constraint conflict (concurrent feedback for same feedback_id)
await self.ap.persistence_mgr.execute_async(
sqlalchemy.update(MonitoringFeedback)
.where(MonitoringFeedback.feedback_id == feedback_id)
.values(
timestamp=now,
feedback_type=feedback_type,
feedback_content=feedback_content,
inaccurate_reasons=reasons_json,
)
)
return feedback_id
async def get_feedback_stats(
self,
bot_ids: list[str] | None = None,
pipeline_ids: list[str] | None = None,
start_time: datetime.datetime | None = None,
end_time: datetime.datetime | None = None,
) -> dict:
"""Get feedback statistics.
Returns:
Dictionary with total likes, dislikes, and breakdown by bot/pipeline
"""
conditions = []
if bot_ids:
conditions.append(persistence_monitoring.MonitoringFeedback.bot_id.in_(bot_ids))
if pipeline_ids:
conditions.append(persistence_monitoring.MonitoringFeedback.pipeline_id.in_(pipeline_ids))
if start_time:
conditions.append(persistence_monitoring.MonitoringFeedback.timestamp >= start_time)
if end_time:
conditions.append(persistence_monitoring.MonitoringFeedback.timestamp <= end_time)
# Get total likes (feedback_type = 1)
likes_query = sqlalchemy.select(sqlalchemy.func.count(persistence_monitoring.MonitoringFeedback.id)).where(
persistence_monitoring.MonitoringFeedback.feedback_type == 1
)
if conditions:
likes_query = likes_query.where(sqlalchemy.and_(*conditions))
likes_result = await self.ap.persistence_mgr.execute_async(likes_query)
total_likes = likes_result.scalar() or 0
# Get total dislikes (feedback_type = 2)
dislikes_query = sqlalchemy.select(sqlalchemy.func.count(persistence_monitoring.MonitoringFeedback.id)).where(
persistence_monitoring.MonitoringFeedback.feedback_type == 2
)
if conditions:
dislikes_query = dislikes_query.where(sqlalchemy.and_(*conditions))
dislikes_result = await self.ap.persistence_mgr.execute_async(dislikes_query)
total_dislikes = dislikes_result.scalar() or 0
# Get total feedback count
total_query = sqlalchemy.select(sqlalchemy.func.count(persistence_monitoring.MonitoringFeedback.id))
if conditions:
total_query = total_query.where(sqlalchemy.and_(*conditions))
total_result = await self.ap.persistence_mgr.execute_async(total_query)
total_feedback = total_result.scalar() or 0
# Calculate satisfaction rate
satisfaction_rate = (total_likes / total_feedback * 100) if total_feedback > 0 else 0
# Get feedback by bot
bot_stats_query = sqlalchemy.select(
persistence_monitoring.MonitoringFeedback.bot_id,
persistence_monitoring.MonitoringFeedback.bot_name,
sqlalchemy.func.count(persistence_monitoring.MonitoringFeedback.id).label('total'),
sqlalchemy.func.sum(
sqlalchemy.case((persistence_monitoring.MonitoringFeedback.feedback_type == 1, 1), else_=0)
).label('likes'),
sqlalchemy.func.sum(
sqlalchemy.case((persistence_monitoring.MonitoringFeedback.feedback_type == 2, 1), else_=0)
).label('dislikes'),
).group_by(
persistence_monitoring.MonitoringFeedback.bot_id,
persistence_monitoring.MonitoringFeedback.bot_name,
)
if conditions:
bot_stats_query = bot_stats_query.where(sqlalchemy.and_(*conditions))
bot_stats_result = await self.ap.persistence_mgr.execute_async(bot_stats_query)
bot_stats = [
{
'bot_id': row.bot_id,
'bot_name': row.bot_name,
'total': row.total,
'likes': row.likes or 0,
'dislikes': row.dislikes or 0,
}
for row in bot_stats_result.all()
]
return {
'total_feedback': total_feedback,
'total_likes': total_likes,
'total_dislikes': total_dislikes,
'satisfaction_rate': round(satisfaction_rate, 2),
'by_bot': bot_stats,
}
async def get_feedback_list(
self,
bot_ids: list[str] | None = None,
pipeline_ids: list[str] | None = None,
feedback_type: int | None = None,
start_time: datetime.datetime | None = None,
end_time: datetime.datetime | None = None,
limit: int = 100,
offset: int = 0,
) -> tuple[list[dict], int]:
"""Get feedback list with filters."""
conditions = []
if bot_ids:
conditions.append(persistence_monitoring.MonitoringFeedback.bot_id.in_(bot_ids))
if pipeline_ids:
conditions.append(persistence_monitoring.MonitoringFeedback.pipeline_id.in_(pipeline_ids))
if feedback_type is not None:
conditions.append(persistence_monitoring.MonitoringFeedback.feedback_type == feedback_type)
if start_time:
conditions.append(persistence_monitoring.MonitoringFeedback.timestamp >= start_time)
if end_time:
conditions.append(persistence_monitoring.MonitoringFeedback.timestamp <= end_time)
# Get total count
count_query = sqlalchemy.select(sqlalchemy.func.count(persistence_monitoring.MonitoringFeedback.id))
if conditions:
count_query = count_query.where(sqlalchemy.and_(*conditions))
count_result = await self.ap.persistence_mgr.execute_async(count_query)
total = count_result.scalar() or 0
# Get feedback list
query = sqlalchemy.select(persistence_monitoring.MonitoringFeedback).order_by(
persistence_monitoring.MonitoringFeedback.timestamp.desc()
)
if conditions:
query = query.where(sqlalchemy.and_(*conditions))
query = query.limit(limit).offset(offset)
result = await self.ap.persistence_mgr.execute_async(query)
rows = result.all()
return (
[
self.ap.persistence_mgr.serialize_model(
persistence_monitoring.MonitoringFeedback, row[0] if isinstance(row, tuple) else row
)
for row in rows
],
total,
)
async def export_feedback(
self,
bot_ids: list[str] | None = None,
pipeline_ids: list[str] | None = None,
start_time: datetime.datetime | None = None,
end_time: datetime.datetime | None = None,
limit: int = 100000,
) -> list[dict]:
"""Export feedback as list of dictionaries for CSV conversion."""
conditions = []
if bot_ids:
conditions.append(persistence_monitoring.MonitoringFeedback.bot_id.in_(bot_ids))
if pipeline_ids:
conditions.append(persistence_monitoring.MonitoringFeedback.pipeline_id.in_(pipeline_ids))
if start_time:
conditions.append(persistence_monitoring.MonitoringFeedback.timestamp >= start_time)
if end_time:
conditions.append(persistence_monitoring.MonitoringFeedback.timestamp <= end_time)
query = sqlalchemy.select(persistence_monitoring.MonitoringFeedback).order_by(
persistence_monitoring.MonitoringFeedback.timestamp.desc()
)
if conditions:
query = query.where(sqlalchemy.and_(*conditions))
query = query.limit(limit)
result = await self.ap.persistence_mgr.execute_async(query)
rows = result.all()
return [
{
'id': row[0].id if isinstance(row, tuple) else row.id,
'timestamp': self._format_timestamp(row[0].timestamp if isinstance(row, tuple) else row.timestamp),
'feedback_id': row[0].feedback_id if isinstance(row, tuple) else row.feedback_id,
'feedback_type': 'like'
if (row[0].feedback_type if isinstance(row, tuple) else row.feedback_type) == 1
else 'dislike',
'feedback_content': row[0].feedback_content if isinstance(row, tuple) else row.feedback_content,
'inaccurate_reasons': row[0].inaccurate_reasons if isinstance(row, tuple) else row.inaccurate_reasons,
'bot_id': row[0].bot_id if isinstance(row, tuple) else row.bot_id,
'bot_name': row[0].bot_name if isinstance(row, tuple) else row.bot_name,
'pipeline_id': row[0].pipeline_id if isinstance(row, tuple) else row.pipeline_id,
'pipeline_name': row[0].pipeline_name if isinstance(row, tuple) else row.pipeline_name,
'session_id': row[0].session_id if isinstance(row, tuple) else row.session_id,
'message_id': row[0].message_id if isinstance(row, tuple) else row.message_id,
'stream_id': row[0].stream_id if isinstance(row, tuple) else row.stream_id,
'user_id': row[0].user_id if isinstance(row, tuple) else row.user_id,
'platform': row[0].platform if isinstance(row, tuple) else row.platform,
}
for row in rows
]

View File

@@ -1,7 +1,6 @@
from __future__ import annotations
import uuid
import traceback
import sqlalchemy
@@ -17,24 +16,6 @@ class ModelProviderService:
def __init__(self, ap: app.Application) -> None:
self.ap = ap
@staticmethod
def _normalize_api_keys(api_keys: str | list[str] | tuple[str, ...] | None) -> list[str]:
if api_keys is None:
return []
raw_keys = [api_keys] if isinstance(api_keys, str) else list(api_keys)
normalized_keys = []
seen_keys = set()
for raw_key in raw_keys:
normalized_key = raw_key.strip() if isinstance(raw_key, str) else ''
if not normalized_key or normalized_key in seen_keys:
continue
normalized_keys.append(normalized_key)
seen_keys.add(normalized_key)
return normalized_keys
async def get_providers(self) -> list[dict]:
"""Get all providers"""
result = await self.ap.persistence_mgr.execute_async(sqlalchemy.select(persistence_model.ModelProvider))
@@ -77,7 +58,6 @@ class ModelProviderService:
async def create_provider(self, provider_data: dict) -> str:
"""Create a new provider"""
provider_data['uuid'] = str(uuid.uuid4())
provider_data['api_keys'] = self._normalize_api_keys(provider_data.get('api_keys'))
await self.ap.persistence_mgr.execute_async(
sqlalchemy.insert(persistence_model.ModelProvider).values(**provider_data)
)
@@ -91,8 +71,6 @@ class ModelProviderService:
"""Update an existing provider"""
if 'uuid' in provider_data:
del provider_data['uuid']
if 'api_keys' in provider_data:
provider_data['api_keys'] = self._normalize_api_keys(provider_data.get('api_keys'))
await self.ap.persistence_mgr.execute_async(
sqlalchemy.update(persistence_model.ModelProvider)
.where(persistence_model.ModelProvider.uuid == provider_uuid)
@@ -119,14 +97,6 @@ class ModelProviderService:
if embedding_result.first() is not None:
raise ValueError('Cannot delete provider: Embedding models still reference it')
rerank_result = await self.ap.persistence_mgr.execute_async(
sqlalchemy.select(persistence_model.RerankModel).where(
persistence_model.RerankModel.provider_uuid == provider_uuid
)
)
if rerank_result.first() is not None:
raise ValueError('Cannot delete provider: Rerank models still reference it')
await self.ap.persistence_mgr.execute_async(
sqlalchemy.delete(persistence_model.ModelProvider).where(
persistence_model.ModelProvider.uuid == provider_uuid
@@ -151,19 +121,10 @@ class ModelProviderService:
)
embedding_count = embedding_result.scalar() or 0
rerank_result = await self.ap.persistence_mgr.execute_async(
sqlalchemy.select(sqlalchemy.func.count())
.select_from(persistence_model.RerankModel)
.where(persistence_model.RerankModel.provider_uuid == provider_uuid)
)
rerank_count = rerank_result.scalar() or 0
return {'llm_count': llm_count, 'embedding_count': embedding_count, 'rerank_count': rerank_count}
return {'llm_count': llm_count, 'embedding_count': embedding_count}
async def find_or_create_provider(self, requester: str, base_url: str, api_keys: list) -> str:
"""Find existing provider or create new one"""
api_keys = self._normalize_api_keys(api_keys)
# Try to find existing provider with same config
result = await self.ap.persistence_mgr.execute_async(
sqlalchemy.select(persistence_model.ModelProvider).where(
@@ -191,7 +152,7 @@ class ModelProviderService:
'name': provider_name,
'requester': requester,
'base_url': base_url,
'api_keys': api_keys,
'api_keys': api_keys or [],
}
)
@@ -200,69 +161,6 @@ class ModelProviderService:
await self.ap.persistence_mgr.execute_async(
sqlalchemy.update(persistence_model.ModelProvider)
.where(persistence_model.ModelProvider.uuid == '00000000-0000-0000-0000-000000000000')
.values(api_keys=self._normalize_api_keys(api_key))
.values(api_keys=[api_key])
)
await self.ap.model_mgr.reload_provider('00000000-0000-0000-0000-000000000000')
async def scan_provider_models(self, provider_uuid: str, model_type: str | None = None) -> dict:
provider = await self.get_provider(provider_uuid)
if provider is None:
raise ValueError('provider not found')
runtime_provider = await self.ap.model_mgr.load_provider(provider)
try:
scan_result = await runtime_provider.requester.scan_models(
runtime_provider.token_mgr.get_token() if runtime_provider.token_mgr.tokens else None
)
except NotImplementedError:
raise ValueError('current provider does not support model scanning')
except Exception as exc:
self.ap.logger.warning(
f'Failed to scan models for provider {provider_uuid}: {exc}\n{traceback.format_exc()}'
)
raise ValueError(str(exc)) from exc
if isinstance(scan_result, dict):
scanned_models = scan_result.get('models', [])
debug_info = scan_result.get('debug')
else:
scanned_models = scan_result
debug_info = None
llm_models = await self.ap.llm_model_service.get_llm_models_by_provider(provider_uuid)
embedding_models = await self.ap.embedding_models_service.get_embedding_models_by_provider(provider_uuid)
existing_llm_names = {model['name'] for model in llm_models}
existing_embedding_names = {model['name'] for model in embedding_models}
filtered_models = []
for model in scanned_models:
scanned_type = model.get('type', 'llm')
if model_type and scanned_type != model_type:
continue
model_name = model.get('name') or model.get('id')
if not model_name:
continue
filtered_models.append(
{
'id': model.get('id', model_name),
'name': model_name,
'type': scanned_type,
'abilities': model.get('abilities', []),
'display_name': model.get('display_name'),
'description': model.get('description'),
'context_length': model.get('context_length'),
'owned_by': model.get('owned_by'),
'input_modalities': model.get('input_modalities', []),
'output_modalities': model.get('output_modalities', []),
'already_added': (
model_name in existing_embedding_names
if scanned_type == 'embedding'
else model_name in existing_llm_names
),
}
)
return {'models': filtered_models, 'debug': debug_info}

View File

@@ -179,7 +179,7 @@ class SpaceService:
space_url = space_config['url']
session = httpclient.get_session()
async with session.get(f'{space_url}/api/v1/models', params={'page_size': 100}) as response:
async with session.get(f'{space_url}/api/v1/models') as response:
if response.status != 200:
raise ValueError(f'Failed to get models: {await response.text()}')
data = await response.json()

View File

@@ -65,8 +65,8 @@ class UserService:
user_obj = result_list[0]
# Check if this user has a local password set
if not user_obj.password:
# Check if this is a Space account
if user_obj.account_type == 'space':
raise ValueError('请使用 Space 账户登录')
ph = argon2.PasswordHasher()
@@ -108,8 +108,9 @@ class UserService:
if user_obj is None:
raise ValueError('User not found')
if not user_obj.password:
raise ValueError('No local password set, please set a password first')
# Space accounts cannot change password locally
if user_obj.account_type == 'space':
raise ValueError('Space account cannot change password locally')
ph.verify(user_obj.password, current_password)

View File

@@ -31,7 +31,6 @@ 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 monitoring as monitoring_service
from ..api.http.service import maintenance as maintenance_service
from ..discover import engine as discover_engine
from ..storage import mgr as storagemgr
@@ -134,8 +133,6 @@ class Application:
embedding_models_service: model_service.EmbeddingModelsService = None
rerank_models_service: model_service.RerankModelsService = None
provider_service: provider_service.ModelProviderService = None
pipeline_service: pipeline_service.PipelineService = None
@@ -156,8 +153,6 @@ class Application:
monitoring_service: monitoring_service.MonitoringService = None
maintenance_service: maintenance_service.MaintenanceService = None
def __init__(self):
pass
@@ -193,77 +188,6 @@ class Application:
scopes=[core_entities.LifecycleControlScope.APPLICATION],
)
# Start monitoring data cleanup task if enabled
monitoring_cfg = self.instance_config.data.get('monitoring', {})
auto_cleanup_cfg = monitoring_cfg.get('auto_cleanup', {})
if auto_cleanup_cfg.get('enabled', True):
retention_days = self._get_positive_int_config(
auto_cleanup_cfg.get('retention_days', 30),
default=30,
name='monitoring.auto_cleanup.retention_days',
)
delete_batch_size = self._get_positive_int_config(
auto_cleanup_cfg.get('delete_batch_size', 1000),
default=1000,
name='monitoring.auto_cleanup.delete_batch_size',
)
check_interval_hours = self._get_positive_float_config(
auto_cleanup_cfg.get('check_interval_hours', 1),
default=1,
name='monitoring.auto_cleanup.check_interval_hours',
)
async def monitoring_cleanup_loop():
check_interval_seconds = check_interval_hours * 3600
while True:
try:
deleted = await self.monitoring_service.cleanup_expired_records(
retention_days,
batch_size=delete_batch_size,
)
total_deleted = sum(deleted.values())
if total_deleted > 0:
self.logger.info(
f'Monitoring auto-cleanup: deleted {total_deleted} expired records '
f'(retention={retention_days}d): {deleted}'
)
except Exception as e:
self.logger.warning(f'Monitoring auto-cleanup error: {e}')
await asyncio.sleep(check_interval_seconds)
self.task_mgr.create_task(
monitoring_cleanup_loop(),
name='monitoring-cleanup',
scopes=[core_entities.LifecycleControlScope.APPLICATION],
)
# Start storage/log maintenance task if enabled
storage_cleanup_cfg = self.instance_config.data.get('storage', {}).get('cleanup', {})
if storage_cleanup_cfg.get('enabled', True) and self.maintenance_service is not None:
check_interval_hours = self._get_positive_float_config(
storage_cleanup_cfg.get('check_interval_hours', 1),
default=1,
name='storage.cleanup.check_interval_hours',
)
async def storage_cleanup_loop():
check_interval_seconds = check_interval_hours * 3600
while True:
try:
deleted = await self.maintenance_service.cleanup_expired_files()
total_deleted = sum(deleted.values())
if total_deleted > 0:
self.logger.info(f'Storage maintenance: deleted expired files: {deleted}')
except Exception as e:
self.logger.warning(f'Storage maintenance error: {e}')
await asyncio.sleep(check_interval_seconds)
self.task_mgr.create_task(
storage_cleanup_loop(),
name='storage-maintenance',
scopes=[core_entities.LifecycleControlScope.APPLICATION],
)
self.task_mgr.create_task(
never_ending(),
name='never-ending-task',
@@ -278,28 +202,6 @@ class Application:
self.logger.error(f'Application runtime fatal exception: {e}')
self.logger.debug(f'Traceback: {traceback.format_exc()}')
def _get_positive_int_config(self, value, default: int, name: str) -> int:
try:
parsed = int(value)
except (TypeError, ValueError):
self.logger.warning(f'Invalid {name}: {value!r}, using {default}')
return default
if parsed < 1:
self.logger.warning(f'Invalid {name}: {value!r}, using {default}')
return default
return parsed
def _get_positive_float_config(self, value, default: float, name: str) -> float:
try:
parsed = float(value)
except (TypeError, ValueError):
self.logger.warning(f'Invalid {name}: {value!r}, using {default}')
return default
if parsed <= 0:
self.logger.warning(f'Invalid {name}: {value!r}, using {default}')
return default
return parsed
def dispose(self):
self.plugin_connector.dispose()

View File

@@ -28,7 +28,6 @@ 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 monitoring as monitoring_service
from ...api.http.service import maintenance as maintenance_service
from ...discover import engine as discover_engine
from ...storage import mgr as storagemgr
from ...utils import logcache
@@ -62,9 +61,6 @@ class BuildAppStage(stage.BootingStage):
embedding_models_service_inst = model_service.EmbeddingModelsService(ap)
ap.embedding_models_service = embedding_models_service_inst
rerank_models_service_inst = model_service.RerankModelsService(ap)
ap.rerank_models_service = rerank_models_service_inst
provider_service_inst = provider_service.ModelProviderService(ap)
ap.provider_service = provider_service_inst
@@ -168,9 +164,6 @@ class BuildAppStage(stage.BootingStage):
monitoring_service_inst = monitoring_service.MonitoringService(ap)
ap.monitoring_service = monitoring_service_inst
maintenance_service_inst = maintenance_service.MaintenanceService(ap)
ap.maintenance_service = maintenance_service_inst
async def runtime_disconnect_callback(connector: plugin_connector.PluginRuntimeConnector) -> None:
await asyncio.sleep(3)
await plugin_connector_inst.initialize()

View File

@@ -80,12 +80,8 @@ def _apply_env_overrides_to_config(cfg: dict) -> dict:
if i == len(keys) - 1:
# At the final key
if key in current:
if isinstance(current[key], list):
# Convert comma-separated string to list
# e.g., SYSTEM__DISABLED_ADAPTERS="aiocqhttp,dingtalk"
current[key] = [item.strip() for item in env_value.split(',') if item.strip()]
elif isinstance(current[key], dict):
# Skip dict types
if isinstance(current[key], (dict, list)):
# Skip dict and list types
pass
else:
# Valid scalar value - convert and set it

View File

@@ -3,7 +3,6 @@ from __future__ import annotations
import asyncio
import typing
import datetime
import time
from . import app
from . import entities as core_entities
@@ -18,13 +17,9 @@ class TaskContext:
log: str
"""Log"""
metadata: dict
"""Structured metadata for progress reporting"""
def __init__(self):
self.current_action = 'default'
self.log = ''
self.metadata = {}
def _log(self, msg: str):
self.log += msg + '\n'
@@ -43,7 +38,7 @@ class TaskContext:
self._log(f'{datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S")} | {self.current_action} | {msg}')
def to_dict(self) -> dict:
return {'current_action': self.current_action, 'log': self.log, 'metadata': self.metadata}
return {'current_action': self.current_action, 'log': self.log}
@staticmethod
def new() -> TaskContext:
@@ -120,7 +115,6 @@ class TaskWrapper:
self.label = label if label != '' else name
self.task.set_name(name)
self.scopes = scopes
self.created_at = time.time()
def assume_exception(self):
try:
@@ -156,7 +150,6 @@ class TaskWrapper:
'name': self.name,
'label': self.label,
'scopes': [scope.value for scope in self.scopes],
'created_at': self.created_at,
'task_context': self.task_context.to_dict(),
'runtime': {
'done': self.task.done(),
@@ -196,8 +189,6 @@ class AsyncTaskManager:
) -> TaskWrapper:
wrapper = TaskWrapper(self.ap, coro, task_type, kind, name, label, context, scopes)
self.tasks.append(wrapper)
wrapper.task.add_done_callback(lambda _: self._prune_completed_tasks())
self._prune_completed_tasks()
return wrapper
def create_user_task(
@@ -220,23 +211,9 @@ class AsyncTaskManager:
def get_tasks_dict(
self,
type: str = None,
kind: str = None,
) -> dict:
return {
'tasks': [
t.to_dict()
for t in self.tasks
if (type is None or t.task_type == type) and (kind is None or t.kind == kind)
],
'id_index': TaskWrapper._id_index,
}
def get_stats(self) -> dict:
completed = sum(1 for t in self.tasks if t.task.done())
return {
'total': len(self.tasks),
'running': len(self.tasks) - completed,
'completed': completed,
'tasks': [t.to_dict() for t in self.tasks if type is None or t.task_type == type],
'id_index': TaskWrapper._id_index,
}
@@ -257,27 +234,3 @@ class AsyncTaskManager:
if not wrapper.task.done():
wrapper.task.cancel()
return
def _prune_completed_tasks(self):
completed_limit = (
self.ap.instance_config.data.get('system', {})
.get('task_retention', {})
.get(
'completed_limit',
200,
)
)
try:
completed_limit = int(completed_limit)
except (TypeError, ValueError):
completed_limit = 200
if completed_limit < 1:
completed_limit = 1
completed_tasks = [wrapper for wrapper in self.tasks if wrapper.task.done()]
overflow = len(completed_tasks) - completed_limit
if overflow <= 0:
return
remove_ids = {wrapper.id for wrapper in completed_tasks[:overflow]}
self.tasks = [wrapper for wrapper in self.tasks if wrapper.id not in remove_ids]

View File

@@ -17,23 +17,11 @@ class I18nString(pydantic.BaseModel):
"""英文"""
zh_Hans: typing.Optional[str] = None
"""简体中文"""
zh_Hant: typing.Optional[str] = None
"""繁体中文"""
"""中文"""
ja_JP: typing.Optional[str] = None
"""日文"""
th_TH: typing.Optional[str] = None
"""泰文"""
vi_VN: typing.Optional[str] = None
"""越南文"""
es_ES: typing.Optional[str] = None
"""西班牙文"""
def to_dict(self) -> dict:
"""转换为字典"""
dic = {}
@@ -41,16 +29,8 @@ class I18nString(pydantic.BaseModel):
dic['en_US'] = self.en_US
if self.zh_Hans is not None:
dic['zh_Hans'] = self.zh_Hans
if self.zh_Hant is not None:
dic['zh_Hant'] = self.zh_Hant
if self.ja_JP is not None:
dic['ja_JP'] = self.ja_JP
if self.th_TH is not None:
dic['th_TH'] = self.th_TH
if self.vi_VN is not None:
dic['vi_VN'] = self.vi_VN
if self.es_ES is not None:
dic['es_ES'] = self.es_ES
return dic

View File

@@ -16,7 +16,6 @@ class Bot(Base):
enable = sqlalchemy.Column(sqlalchemy.Boolean, nullable=False, default=False)
use_pipeline_name = sqlalchemy.Column(sqlalchemy.String(255), nullable=True)
use_pipeline_uuid = sqlalchemy.Column(sqlalchemy.String(255), nullable=True)
pipeline_routing_rules = sqlalchemy.Column(sqlalchemy.JSON, nullable=False, server_default='[]')
created_at = sqlalchemy.Column(sqlalchemy.DateTime, nullable=False, server_default=sqlalchemy.func.now())
updated_at = sqlalchemy.Column(
sqlalchemy.DateTime,

View File

@@ -59,22 +59,3 @@ class EmbeddingModel(Base):
server_default=sqlalchemy.func.now(),
onupdate=sqlalchemy.func.now(),
)
class RerankModel(Base):
"""Rerank model"""
__tablename__ = 'rerank_models'
uuid = sqlalchemy.Column(sqlalchemy.String(255), primary_key=True, unique=True)
name = sqlalchemy.Column(sqlalchemy.String(255), nullable=False)
provider_uuid = sqlalchemy.Column(sqlalchemy.String(255), nullable=False)
extra_args = sqlalchemy.Column(sqlalchemy.JSON, nullable=False, default={})
prefered_ranking = sqlalchemy.Column(sqlalchemy.Integer, nullable=False, default=0)
created_at = sqlalchemy.Column(sqlalchemy.DateTime, nullable=False, server_default=sqlalchemy.func.now())
updated_at = sqlalchemy.Column(
sqlalchemy.DateTime,
nullable=False,
server_default=sqlalchemy.func.now(),
onupdate=sqlalchemy.func.now(),
)

View File

@@ -106,26 +106,3 @@ class MonitoringEmbeddingCall(Base):
session_id = sqlalchemy.Column(sqlalchemy.String(255), nullable=True, index=True)
message_id = sqlalchemy.Column(sqlalchemy.String(255), nullable=True, index=True)
call_type = sqlalchemy.Column(sqlalchemy.String(50), nullable=True) # embedding, retrieve
class MonitoringFeedback(Base):
"""User feedback records (like/dislike) from AI Bot conversations"""
__tablename__ = 'monitoring_feedback'
id = sqlalchemy.Column(sqlalchemy.String(255), primary_key=True)
timestamp = sqlalchemy.Column(sqlalchemy.DateTime, nullable=False, index=True)
feedback_id = sqlalchemy.Column(sqlalchemy.String(255), nullable=False, unique=True, index=True)
feedback_type = sqlalchemy.Column(sqlalchemy.Integer, nullable=False) # 1=like, 2=dislike
feedback_content = sqlalchemy.Column(sqlalchemy.Text, nullable=True) # User feedback text
inaccurate_reasons = sqlalchemy.Column(sqlalchemy.Text, nullable=True) # JSON list of inaccurate reasons
# Context fields
bot_id = sqlalchemy.Column(sqlalchemy.String(255), nullable=True, index=True)
bot_name = sqlalchemy.Column(sqlalchemy.String(255), nullable=True)
pipeline_id = sqlalchemy.Column(sqlalchemy.String(255), nullable=True, index=True)
pipeline_name = sqlalchemy.Column(sqlalchemy.String(255), nullable=True)
session_id = sqlalchemy.Column(sqlalchemy.String(255), nullable=True, index=True)
message_id = sqlalchemy.Column(sqlalchemy.String(255), nullable=True, index=True)
stream_id = sqlalchemy.Column(sqlalchemy.String(255), nullable=True, index=True)
user_id = sqlalchemy.Column(sqlalchemy.String(255), nullable=True)
platform = sqlalchemy.Column(sqlalchemy.String(255), nullable=True) # e.g., wecom

View File

@@ -1,51 +0,0 @@
"""Alembic environment for LangBot.
This env.py is designed to be called programmatically (not via CLI).
It supports both SQLite and PostgreSQL.
The sync connection is passed via config attributes by the runner.
"""
from __future__ import annotations
from alembic import context
from sqlalchemy.engine import Connection
from langbot.pkg.entity.persistence.base import Base
target_metadata = Base.metadata
def run_migrations_offline() -> None:
"""Run migrations in 'offline' mode — emit SQL without a live connection."""
url = context.config.get_main_option('sqlalchemy.url')
context.configure(
url=url,
target_metadata=target_metadata,
literal_binds=True,
dialect_opts={'paramstyle': 'named'},
)
with context.begin_transaction():
context.run_migrations()
def run_migrations_online() -> None:
"""Run migrations with a live sync connection passed via config attributes."""
connection: Connection = context.config.attributes.get('connection')
if connection is None:
raise RuntimeError('connection not provided in alembic config attributes')
context.configure(
connection=connection,
target_metadata=target_metadata,
# render_as_batch=True is critical for SQLite ALTER TABLE support
render_as_batch=True,
)
with context.begin_transaction():
context.run_migrations()
if context.is_offline_mode():
run_migrations_offline()
else:
run_migrations_online()

View File

@@ -1,24 +0,0 @@
# Alembic script.py.mako — template for auto-generated revisions
"""${message}
Revision ID: ${up_revision}
Revises: ${down_revision | comma,n}
Create Date: ${create_date}
"""
from alembic import op
import sqlalchemy as sa
${imports if imports else ""}
# revision identifiers
revision = ${repr(up_revision)}
down_revision = ${repr(down_revision)}
branch_labels = ${repr(branch_labels)}
depends_on = ${repr(depends_on)}
def upgrade() -> None:
${upgrades if upgrades else "pass"}
def downgrade() -> None:
${downgrades if downgrades else "pass"}

View File

@@ -1,24 +0,0 @@
"""baseline: stamp existing schema (db version 25)
This is a no-op migration that marks the starting point for Alembic.
All tables already exist via create_all() + legacy DBMigration system.
Revision ID: 0001_baseline
Revises: None
Create Date: 2026-04-08
"""
revision = '0001_baseline'
down_revision = None
branch_labels = None
depends_on = None
def upgrade() -> None:
# No-op: existing schema is already at database_version=25
# This revision serves as the Alembic baseline.
pass
def downgrade() -> None:
pass

View File

@@ -1,62 +0,0 @@
"""example: sample migration demonstrating Alembic patterns
This is a SAMPLE showing how to write migrations that work
seamlessly across SQLite and PostgreSQL. Delete or adapt as needed.
Revision ID: 0002_sample
Revises: 0001_baseline
Create Date: 2026-04-08
Patterns demonstrated:
1. Schema change (add column) — works on both DBs via render_as_batch
2. Data migration (read + modify JSON) — pure SQLAlchemy, no dialect branching
"""
revision = '0002_sample'
down_revision = '0001_baseline'
branch_labels = None
depends_on = None
def upgrade() -> None:
"""
EXAMPLE: Uncomment to use. This shows the patterns.
# --- Pattern 1: Schema change (add/drop column) ---
# render_as_batch=True in env.py makes this work on SQLite too.
#
# op.add_column('pipelines', sa.Column('description', sa.String(512), server_default=''))
# --- Pattern 2: Data migration (read + modify JSON field) ---
# No if/else for sqlite vs postgres needed!
#
# conn = op.get_bind()
# rows = conn.execute(sa.text("SELECT uuid, config FROM pipelines")).fetchall()
# for row in rows:
# config = json.loads(row[1]) if isinstance(row[1], str) else row[1]
# # Modify the config
# config.setdefault('ai', {}).setdefault('some_new_key', 'default_value')
# conn.execute(
# sa.text("UPDATE pipelines SET config = :cfg WHERE uuid = :uuid"),
# {"cfg": json.dumps(config), "uuid": row[0]}
# )
# --- Pattern 3: Create a new table ---
#
# op.create_table(
# 'audit_log',
# sa.Column('id', sa.Integer, primary_key=True, autoincrement=True),
# sa.Column('action', sa.String(255), nullable=False),
# sa.Column('detail', sa.Text),
# sa.Column('created_at', sa.DateTime, server_default=sa.func.now()),
# )
"""
pass
def downgrade() -> None:
"""
# op.drop_column('pipelines', 'description')
# op.drop_table('audit_log')
"""
pass

View File

@@ -1,35 +0,0 @@
"""add rerank_models table
Revision ID: 0003_add_rerank_models
Revises: 0002_sample
Create Date: 2026-04-19
"""
import sqlalchemy as sa
from alembic import op
revision = '0003_add_rerank_models'
down_revision = '0002_sample'
branch_labels = None
depends_on = None
def upgrade() -> None:
# Check if table already exists (may have been created by create_all())
conn = op.get_bind()
inspector = sa.inspect(conn)
if 'rerank_models' not in inspector.get_table_names():
op.create_table(
'rerank_models',
sa.Column('uuid', sa.String(255), primary_key=True, unique=True),
sa.Column('name', sa.String(255), nullable=False),
sa.Column('provider_uuid', sa.String(255), nullable=False),
sa.Column('extra_args', sa.JSON, nullable=False, server_default='{}'),
sa.Column('prefered_ranking', sa.Integer, nullable=False, server_default='0'),
sa.Column('created_at', sa.DateTime, nullable=False, server_default=sa.func.now()),
sa.Column('updated_at', sa.DateTime, nullable=False, server_default=sa.func.now()),
)
def downgrade() -> None:
op.drop_table('rerank_models')

View File

@@ -1,150 +0,0 @@
"""Programmatic Alembic runner for LangBot.
Usage from async code:
from langbot.pkg.persistence.alembic_runner import run_alembic_upgrade
await run_alembic_upgrade(async_engine)
CLI usage (autogenerate):
python -m langbot.pkg.persistence.alembic_runner autogenerate "add description column"
python -m langbot.pkg.persistence.alembic_runner upgrade
python -m langbot.pkg.persistence.alembic_runner current
"""
from __future__ import annotations
import os
from typing import TYPE_CHECKING
from alembic.config import Config
from alembic import command
from alembic.runtime.migration import MigrationContext
if TYPE_CHECKING:
from sqlalchemy.ext.asyncio import AsyncEngine
from sqlalchemy.engine import Connection
_ALEMBIC_DIR = os.path.join(os.path.dirname(__file__), 'alembic')
def _build_config(connection: Connection) -> Config:
"""Build an Alembic Config with sync connection attached."""
cfg = Config()
cfg.set_main_option('script_location', _ALEMBIC_DIR)
cfg.attributes['connection'] = connection
return cfg
def _do_upgrade(connection: Connection, revision: str = 'head') -> None:
"""Synchronous upgrade — runs inside run_sync."""
cfg = _build_config(connection)
command.upgrade(cfg, revision)
def _do_stamp(connection: Connection, revision: str = 'head') -> None:
"""Synchronous stamp — runs inside run_sync."""
cfg = _build_config(connection)
command.stamp(cfg, revision)
def _do_get_current(connection: Connection) -> str | None:
"""Get current alembic revision synchronously."""
ctx = MigrationContext.configure(connection)
return ctx.get_current_revision()
def _do_autogenerate(connection: Connection, message: str = 'auto migration') -> None:
"""Synchronous autogenerate — runs inside run_sync."""
cfg = _build_config(connection)
command.revision(cfg, message=message, autogenerate=True)
async def run_alembic_upgrade(async_engine: AsyncEngine, revision: str = 'head') -> None:
"""Run Alembic upgrade to the given revision."""
async with async_engine.connect() as conn:
await conn.run_sync(_do_upgrade, revision)
await conn.commit()
async def run_alembic_stamp(async_engine: AsyncEngine, revision: str = 'head') -> None:
"""Stamp the database with a revision without running migrations."""
async with async_engine.connect() as conn:
await conn.run_sync(_do_stamp, revision)
await conn.commit()
async def get_alembic_current(async_engine: AsyncEngine) -> str | None:
"""Get current alembic revision, or None if not stamped."""
async with async_engine.connect() as conn:
return await conn.run_sync(_do_get_current)
async def run_alembic_autogenerate(async_engine: AsyncEngine, message: str = 'auto migration') -> None:
"""Compare ORM models against DB schema and generate a migration script."""
async with async_engine.connect() as conn:
await conn.run_sync(_do_autogenerate, message)
# CLI entrypoint: python -m langbot.pkg.persistence.alembic_runner <command> [args]
if __name__ == '__main__':
import sys
import asyncio
def _get_engine():
"""Create engine from data/config.yaml or default SQLite."""
from sqlalchemy.ext.asyncio import create_async_engine
try:
import yaml
with open('data/config.yaml') as f:
config = yaml.safe_load(f)
db_cfg = config.get('database', {})
db_type = db_cfg.get('use', 'sqlite')
if db_type == 'postgresql':
pg = db_cfg.get('postgresql', {})
url = (
f'postgresql+asyncpg://{pg.get("user", "postgres")}:{pg.get("password", "postgres")}'
f'@{pg.get("host", "127.0.0.1")}:{pg.get("port", 5432)}/{pg.get("database", "postgres")}'
)
else:
path = db_cfg.get('sqlite', {}).get('path', 'data/langbot.db')
url = f'sqlite+aiosqlite:///{path}'
except Exception:
url = 'sqlite+aiosqlite:///data/langbot.db'
return create_async_engine(url)
def main():
if len(sys.argv) < 2:
print('Usage: python -m langbot.pkg.persistence.alembic_runner <command> [args]')
print('Commands:')
print(' autogenerate "message" — Generate migration from ORM model diff')
print(' upgrade [revision] — Upgrade database (default: head)')
print(' stamp [revision] — Stamp revision without running (default: head)')
print(' current — Show current revision')
sys.exit(1)
cmd = sys.argv[1]
engine = _get_engine()
if cmd == 'autogenerate':
msg = sys.argv[2] if len(sys.argv) > 2 else 'auto migration'
asyncio.run(run_alembic_autogenerate(engine, msg))
print(f'Migration generated: {msg}')
elif cmd == 'upgrade':
rev = sys.argv[2] if len(sys.argv) > 2 else 'head'
asyncio.run(run_alembic_upgrade(engine, rev))
print(f'Upgraded to: {rev}')
elif cmd == 'stamp':
rev = sys.argv[2] if len(sys.argv) > 2 else 'head'
asyncio.run(run_alembic_stamp(engine, rev))
print(f'Stamped: {rev}')
elif cmd == 'current':
rev = asyncio.run(get_alembic_current(engine))
print(f'Current revision: {rev}')
else:
print(f'Unknown command: {cmd}')
sys.exit(1)
main()

View File

@@ -2,16 +2,18 @@ from __future__ import annotations
import datetime
import typing
import json
import uuid
import sqlalchemy.ext.asyncio as sqlalchemy_asyncio
import sqlalchemy
from . import database, migration
from ..entity.persistence import base, metadata, model as persistence_model
from ..entity.persistence import base, pipeline, metadata, model as persistence_model
from ..entity import persistence
from ..core import app
from ..utils import constants, importutil
from ..api.http.service import pipeline as pipeline_service
from . import databases, migrations
importutil.import_modules_in_pkg(databases)
@@ -76,9 +78,7 @@ class PersistenceManager:
self.ap.logger.info(f'Successfully upgraded database to version {last_migration_number}.')
# Run Alembic migrations (new migration system)
await self._run_alembic_migrations()
await self.write_default_pipeline()
await self.write_space_model_providers()
async def create_tables(self):
@@ -101,6 +101,29 @@ class PersistenceManager:
if row is None:
await self.execute_async(sqlalchemy.insert(metadata.Metadata).values(item))
async def write_default_pipeline(self):
# write default pipeline
result = await self.execute_async(sqlalchemy.select(pipeline.LegacyPipeline))
default_pipeline_uuid = None
if result.first() is None:
self.ap.logger.info('Creating default pipeline...')
pipeline_config = json.loads(importutil.read_resource_file('templates/default-pipeline-config.json'))
default_pipeline_uuid = str(uuid.uuid4())
pipeline_data = {
'uuid': default_pipeline_uuid,
'for_version': self.ap.ver_mgr.get_current_version(),
'stages': pipeline_service.default_stage_order,
'is_default': True,
'name': 'ChatPipeline',
'description': 'Default pipeline, new bots will be bound to this pipeline | 默认提供的流水线,您配置的机器人将自动绑定到此流水线',
'config': pipeline_config,
'extensions_preferences': {},
}
await self.execute_async(sqlalchemy.insert(pipeline.LegacyPipeline).values(pipeline_data))
async def write_space_model_providers(self):
space_models_gateway_api_url = self.ap.instance_config.data.get('space', {}).get(
'models_gateway_api_url', 'https://api.langbot.cloud/v1'
@@ -138,28 +161,6 @@ class PersistenceManager:
# =================================
async def _run_alembic_migrations(self):
"""Run Alembic-based migrations after legacy migrations complete."""
from . import alembic_runner
engine = self.get_db_engine()
try:
current_rev = await alembic_runner.get_alembic_current(engine)
if current_rev is None:
# First time: stamp baseline so Alembic knows existing schema is up-to-date
self.ap.logger.info('Alembic: no revision found, stamping baseline...')
await alembic_runner.run_alembic_stamp(engine, '0001_baseline')
current_rev = '0001_baseline'
# Upgrade to head
await alembic_runner.run_alembic_upgrade(engine, 'head')
self.ap.logger.info('Alembic migrations completed.')
except Exception as e:
self.ap.logger.error(f'Alembic migration failed: {e}', exc_info=True)
raise
async def execute_async(self, *args, **kwargs) -> sqlalchemy.engine.cursor.CursorResult:
async with self.get_db_engine().connect() as conn:
result = await conn.execute(*args, **kwargs)

View File

@@ -1,15 +0,0 @@
import sqlalchemy
from .. import migration
@migration.migration_class(25)
class DBMigrateBotPipelineRoutingRules(migration.DBMigration):
"""Add pipeline_routing_rules column to bots table"""
async def upgrade(self):
sql_text = sqlalchemy.text("ALTER TABLE bots ADD COLUMN pipeline_routing_rules JSON NOT NULL DEFAULT '[]'")
await self.ap.persistence_mgr.execute_async(sql_text)
async def downgrade(self):
sql_text = sqlalchemy.text('ALTER TABLE bots DROP COLUMN pipeline_routing_rules')
await self.ap.persistence_mgr.execute_async(sql_text)

View File

@@ -37,7 +37,6 @@ class PendingMessage:
message_chain: platform_message.MessageChain
adapter: abstract_platform_adapter.AbstractMessagePlatformAdapter
pipeline_uuid: typing.Optional[str]
routed_by_rule: bool = False
timestamp: float = field(default_factory=time.time)
@@ -126,7 +125,6 @@ class MessageAggregator:
message_chain: platform_message.MessageChain,
adapter: abstract_platform_adapter.AbstractMessagePlatformAdapter,
pipeline_uuid: typing.Optional[str] = None,
routed_by_rule: bool = False,
) -> None:
"""Add a message to the aggregation buffer
@@ -147,7 +145,6 @@ class MessageAggregator:
message_chain=message_chain,
adapter=adapter,
pipeline_uuid=pipeline_uuid,
routed_by_rule=routed_by_rule,
)
return
@@ -162,7 +159,6 @@ class MessageAggregator:
message_chain=message_chain,
adapter=adapter,
pipeline_uuid=pipeline_uuid,
routed_by_rule=routed_by_rule,
)
force_flush = False
@@ -221,7 +217,6 @@ class MessageAggregator:
message_chain=msg.message_chain,
adapter=msg.adapter,
pipeline_uuid=msg.pipeline_uuid,
routed_by_rule=msg.routed_by_rule,
)
return
@@ -236,7 +231,6 @@ class MessageAggregator:
message_chain=merged_msg.message_chain,
adapter=merged_msg.adapter,
pipeline_uuid=merged_msg.pipeline_uuid,
routed_by_rule=merged_msg.routed_by_rule,
)
def _merge_messages(self, messages: list[PendingMessage]) -> PendingMessage:

View File

@@ -63,14 +63,6 @@ class Controller:
pipeline = await self.ap.pipeline_mgr.get_pipeline_by_uuid(pipeline_uuid)
if pipeline:
await pipeline.run(selected_query)
else:
self.ap.logger.warning(
f'Pipeline {pipeline_uuid} not found for query {selected_query.query_id}, query dropped'
)
else:
self.ap.logger.warning(
f'No pipeline_uuid for query {selected_query.query_id}, query dropped'
)
async with self.ap.query_pool:
(await self.ap.sess_mgr.get_session(selected_query))._semaphore.release()

View File

@@ -297,9 +297,6 @@ class RuntimePipeline:
)
# Store message_id in query variables for LLM call monitoring
query.variables['_monitoring_message_id'] = message_id
# Notify adapter so it can map platform-specific IDs to monitoring message ID
if hasattr(query.adapter, 'on_monitoring_message_created'):
await query.adapter.on_monitoring_message_created(query, message_id)
except Exception as e:
self.ap.logger.error(f'Failed to record query start: {e}')
@@ -326,9 +323,6 @@ class RuntimePipeline:
event_ctx = await self.ap.plugin_connector.emit_event(event_obj, bound_plugins)
if event_ctx.is_prevented_default():
self.ap.logger.debug(
f'MessageReceived event prevented default for query {query.query_id}, pipeline={pipeline_name}'
)
return
self.ap.logger.debug(f'Processing query {query.query_id}')

View File

@@ -41,7 +41,6 @@ class QueryPool:
message_chain: platform_message.MessageChain,
adapter: abstract_platform_adapter.AbstractMessagePlatformAdapter,
pipeline_uuid: typing.Optional[str] = None,
routed_by_rule: bool = False,
) -> pipeline_query.Query:
async with self.condition:
query_id = self.query_id_counter
@@ -53,7 +52,7 @@ class QueryPool:
sender_id=sender_id,
message_event=message_event,
message_chain=message_chain,
variables={'_routed_by_rule': routed_by_rule},
variables={},
resp_messages=[],
resp_message_chain=[],
adapter=adapter,

View File

@@ -75,27 +75,6 @@ class PreProcessor(stage.PipelineStage):
query.bot_uuid,
)
# Expire externally managed conversation ids after the conversation has
# been idle for longer than the configured conversation expire time.
# The idle window is measured from the last preprocess/update time, not
# from the conversation creation time.
conversation_expire_time = query.pipeline_config.get('ai', {}).get('runner', {}).get('expire-time', None)
now = datetime.datetime.now()
if conversation_expire_time is not None and conversation_expire_time > 0:
last_update_time = getattr(conversation, 'update_time', None) or getattr(conversation, 'create_time', None)
if last_update_time is not None:
conversation_idle_time = now.timestamp() - last_update_time.timestamp()
if conversation_idle_time > conversation_expire_time:
self.ap.logger.info(
f'Conversation({query.query_id}) is expired (idle: {conversation_idle_time}s), create new conversation'
)
conversation.uuid = None
# Treat every preprocess pass as a conversation activity update. This
# makes future expiry checks use the latest incoming message/preprocess
# time instead of the first message/creation time.
conversation.update_time = now
# 设置query
query.session = session
query.prompt = conversation.prompt.copy()
@@ -181,10 +160,8 @@ class PreProcessor(stage.PipelineStage):
elif me.url:
content_list.append(provider_message.ContentElement.from_file_url(me.url, 'voice'))
elif isinstance(me, platform_message.File):
if me.base64:
content_list.append(provider_message.ContentElement.from_file_base64(me.base64, me.name))
elif me.url:
content_list.append(provider_message.ContentElement.from_file_url(me.url, me.name))
# 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:
for msg in me.origin:
if isinstance(msg, platform_message.Plain):
@@ -195,18 +172,6 @@ class PreProcessor(stage.PipelineStage):
):
if msg.base64 is not None:
content_list.append(provider_message.ContentElement.from_image_base64(msg.base64))
elif isinstance(msg, platform_message.File):
if msg.base64:
content_list.append(provider_message.ContentElement.from_file_base64(msg.base64, msg.name))
elif msg.url:
content_list.append(provider_message.ContentElement.from_file_url(msg.url, msg.name))
elif isinstance(msg, platform_message.Voice):
if msg.base64:
content_list.append(
provider_message.ContentElement.from_file_base64(msg.base64, 'voice.silk')
)
elif msg.url:
content_list.append(provider_message.ContentElement.from_file_url(msg.url, 'voice'))
query.variables['user_message_text'] = plain_text

View File

@@ -61,9 +61,6 @@ class ChatMessageHandler(handler.MessageHandler):
yield entities.StageProcessResult(result_type=entities.ResultType.CONTINUE, new_query=query)
else:
self.ap.logger.debug(
f'NormalMessageReceived event prevented default for query {query.query_id} without reply'
)
yield entities.StageProcessResult(result_type=entities.ResultType.INTERRUPT, new_query=query)
else:
if event_ctx.event.user_message_alter is not None:
@@ -208,7 +205,6 @@ class ChatMessageHandler(handler.MessageHandler):
'model_name': model_name,
'version': constants.semantic_version,
'instance_id': constants.instance_id,
'edition': constants.edition,
'pipeline_plugins': pipeline_plugins,
'error': locals().get('error_info', None),
'timestamp': datetime.utcnow().isoformat(),

View File

@@ -37,10 +37,6 @@ class GroupRespondRuleCheckStage(stage.PipelineStage):
if query.launcher_type.value != 'group': # 只处理群消息
return entities.StageProcessResult(result_type=entities.ResultType.CONTINUE, new_query=query)
# 通过路由规则明确指定的流水线,跳过群响应规则检查
if query.variables and query.variables.get('_routed_by_rule', False):
return entities.StageProcessResult(result_type=entities.ResultType.CONTINUE, new_query=query)
rules = query.pipeline_config['trigger']['group-respond-rules']
use_rule = rules

View File

@@ -1,8 +1,6 @@
from __future__ import annotations
import asyncio
import json
import re
import traceback
import sqlalchemy
@@ -11,7 +9,6 @@ from ..core import app, entities as core_entities, taskmgr
from ..discover import engine
from ..entity.persistence import bot as persistence_bot
from ..entity.persistence import pipeline as persistence_pipeline
from ..entity.errors import platform as platform_errors
@@ -54,148 +51,6 @@ class RuntimeBot:
self.task_context = taskmgr.TaskContext()
self.logger = logger
@staticmethod
def _match_operator(actual: str, operator: str, expected: str) -> bool:
"""Evaluate a single operator condition."""
if operator == 'eq':
return actual == expected
elif operator == 'neq':
return actual != expected
elif operator == 'contains':
return expected in actual
elif operator == 'not_contains':
return expected not in actual
elif operator == 'starts_with':
return actual.startswith(expected)
elif operator == 'regex':
try:
return bool(re.search(expected, actual))
except re.error:
return False
return False
PIPELINE_DISCARD = '__discard__'
PIPELINE_DISCARD_DISPLAY_NAME = 'Discarded'
def resolve_pipeline_uuid(
self,
launcher_type: str,
launcher_id: str,
message_text: str,
message_element_types: list[str] | None = None,
) -> tuple[str | None, bool]:
"""Resolve pipeline UUID based on routing rules.
Rules are evaluated in order; first match wins.
Falls back to use_pipeline_uuid if no rule matches.
Rule types:
- launcher_type: session type ("person" / "group")
- launcher_id: session / group id
- message_content: message text content
- message_has_element: message contains element of given type
(Image, Voice, File, Forward, Face, At, AtAll, Quote)
Operators: eq (has), neq (doesn't have)
Operators: eq, neq, contains, not_contains, starts_with, regex
When pipeline_uuid is ``__discard__``, the message should be
silently dropped by the caller.
Returns:
tuple: (pipeline_uuid, routed_by_rule) - routed_by_rule is True
when a routing rule matched, False when falling back to default.
"""
rules = self.bot_entity.pipeline_routing_rules or []
element_type_set = set(message_element_types or [])
for rule in rules:
rule_type = rule.get('type')
operator = rule.get('operator', 'eq')
rule_value = rule.get('value', '')
target_uuid = rule.get('pipeline_uuid')
if not rule_type or not target_uuid:
continue
if rule_type == 'launcher_type':
if self._match_operator(launcher_type, operator, rule_value):
return target_uuid, True
elif rule_type == 'launcher_id':
if self._match_operator(str(launcher_id), operator, str(rule_value)):
return target_uuid, True
elif rule_type == 'message_content':
if self._match_operator(message_text, operator, rule_value):
return target_uuid, True
elif rule_type == 'message_has_element':
has_element = rule_value in element_type_set
if operator == 'eq' and has_element:
return target_uuid, True
elif operator == 'neq' and not has_element:
return target_uuid, True
return self.bot_entity.use_pipeline_uuid, False
async def _record_discarded_message(
self,
launcher_type: provider_session.LauncherTypes,
launcher_id: str | int,
sender_id: str | int,
message_event: platform_events.MessageEvent,
message_chain: platform_message.MessageChain,
) -> None:
"""Record a discarded message in the monitoring system."""
try:
if hasattr(message_chain, 'model_dump'):
message_content = json.dumps(message_chain.model_dump(), ensure_ascii=False)
else:
message_content = str(message_chain)
sender_name = None
if hasattr(message_event, 'sender'):
if hasattr(message_event.sender, 'nickname'):
sender_name = message_event.sender.nickname
elif hasattr(message_event.sender, 'member_name'):
sender_name = message_event.sender.member_name
# Use the same session_id format as monitoring_helper.py
session_id = f'{launcher_type}_{launcher_id}'
platform = launcher_type.value if hasattr(launcher_type, 'value') else str(launcher_type)
await self.ap.monitoring_service.record_message(
bot_id=self.bot_entity.uuid,
bot_name=self.bot_entity.name or self.bot_entity.uuid,
pipeline_id=self.PIPELINE_DISCARD,
pipeline_name=self.PIPELINE_DISCARD_DISPLAY_NAME,
message_content=message_content,
session_id=session_id,
status='discarded',
level='info',
platform=platform,
user_id=str(sender_id),
user_name=sender_name,
)
# Ensure the session exists so the message appears in the session monitor.
# Don't overwrite pipeline info — a session may have messages from
# multiple pipelines; discarding shouldn't change the displayed pipeline.
session_updated = await self.ap.monitoring_service.update_session_activity(
session_id,
)
if not session_updated:
# No session yet (first message for this launcher was discarded).
await self.ap.monitoring_service.record_session_start(
session_id=session_id,
bot_id=self.bot_entity.uuid,
bot_name=self.bot_entity.name or self.bot_entity.uuid,
pipeline_id=self.PIPELINE_DISCARD,
pipeline_name=self.PIPELINE_DISCARD_DISPLAY_NAME,
platform=platform,
user_id=str(sender_id),
user_name=sender_name,
)
except Exception as e:
await self.logger.error(f'Failed to record discarded message: {e}')
async def initialize(self):
async def on_friend_message(
event: platform_events.FriendMessage,
@@ -227,23 +82,6 @@ class RuntimeBot:
if custom_launcher_id:
launcher_id = custom_launcher_id
message_text = str(event.message_chain)
element_types = [comp.type for comp in event.message_chain]
pipeline_uuid, routed_by_rule = self.resolve_pipeline_uuid(
'person', launcher_id, message_text, element_types
)
if pipeline_uuid == self.PIPELINE_DISCARD:
await self.logger.info('Person message discarded by routing rule')
await self._record_discarded_message(
provider_session.LauncherTypes.PERSON,
launcher_id,
event.sender.id,
event,
event.message_chain,
)
return
await self.ap.msg_aggregator.add_message(
bot_uuid=self.bot_entity.uuid,
launcher_type=provider_session.LauncherTypes.PERSON,
@@ -252,8 +90,7 @@ class RuntimeBot:
message_event=event,
message_chain=event.message_chain,
adapter=adapter,
pipeline_uuid=pipeline_uuid,
routed_by_rule=routed_by_rule,
pipeline_uuid=self.bot_entity.use_pipeline_uuid,
)
else:
await self.logger.info('Pipeline skipped for person message due to webhook response')
@@ -288,23 +125,6 @@ class RuntimeBot:
if custom_launcher_id:
launcher_id = custom_launcher_id
message_text = str(event.message_chain)
element_types = [comp.type for comp in event.message_chain]
pipeline_uuid, routed_by_rule = self.resolve_pipeline_uuid(
'group', launcher_id, message_text, element_types
)
if pipeline_uuid == self.PIPELINE_DISCARD:
await self.logger.info('Group message discarded by routing rule')
await self._record_discarded_message(
provider_session.LauncherTypes.GROUP,
launcher_id,
event.sender.id,
event,
event.message_chain,
)
return
await self.ap.msg_aggregator.add_message(
bot_uuid=self.bot_entity.uuid,
launcher_type=provider_session.LauncherTypes.GROUP,
@@ -313,8 +133,7 @@ class RuntimeBot:
message_event=event,
message_chain=event.message_chain,
adapter=adapter,
pipeline_uuid=pipeline_uuid,
routed_by_rule=routed_by_rule,
pipeline_uuid=self.bot_entity.use_pipeline_uuid,
)
else:
await self.logger.info('Pipeline skipped for group message due to webhook response')
@@ -322,50 +141,6 @@ class RuntimeBot:
self.adapter.register_listener(platform_events.FriendMessage, on_friend_message)
self.adapter.register_listener(platform_events.GroupMessage, on_group_message)
# Register feedback listener (only effective on adapters that support it)
async def on_feedback(
event: platform_events.FeedbackEvent,
adapter: abstract_platform_adapter.AbstractMessagePlatformAdapter,
):
try:
# Resolve pipeline name
pipeline_name = ''
if self.bot_entity.use_pipeline_uuid:
try:
pipeline_result = await self.ap.persistence_mgr.execute_async(
sqlalchemy.select(persistence_pipeline.LegacyPipeline.name).where(
persistence_pipeline.LegacyPipeline.uuid == self.bot_entity.use_pipeline_uuid
)
)
pipeline_row = pipeline_result.first()
if pipeline_row:
pipeline_name = pipeline_row[0]
except Exception:
pass
await self.ap.monitoring_service.record_feedback(
feedback_id=event.feedback_id,
feedback_type=event.feedback_type,
feedback_content=event.feedback_content,
inaccurate_reasons=event.inaccurate_reasons,
bot_id=self.bot_entity.uuid,
bot_name=self.bot_entity.name,
pipeline_id=self.bot_entity.use_pipeline_uuid or '',
pipeline_name=pipeline_name,
session_id=event.session_id,
message_id=event.message_id,
stream_id=event.stream_id,
user_id=event.user_id,
platform=adapter.__class__.__name__,
)
await self.logger.info(
f'Recorded feedback: feedback_id={event.feedback_id}, type={event.feedback_type}'
)
except Exception:
await self.logger.error(f'Failed to record feedback: {traceback.format_exc()}')
self.adapter.register_listener(platform_events.FeedbackEvent, on_feedback)
async def run(self):
async def exception_wrapper():
try:
@@ -421,20 +196,12 @@ class PlatformManager:
# delete all bot log images
await self.ap.storage_mgr.storage_provider.delete_dir_recursive('bot_log_images')
disabled_adapters = self.ap.instance_config.data.get('system', {}).get('disabled_adapters', []) or []
self.adapter_components = self.ap.discover.get_components_by_kind('MessagePlatformAdapter')
adapter_dict: dict[str, type[abstract_platform_adapter.AbstractMessagePlatformAdapter]] = {}
for component in self.adapter_components:
if component.metadata.name in disabled_adapters:
continue
adapter_dict[component.metadata.name] = component.get_python_component_class()
self.adapter_dict = adapter_dict
# Filter out disabled adapters from components list (for API responses)
if disabled_adapters:
self.adapter_components = [c for c in self.adapter_components if c.metadata.name not in disabled_adapters]
# initialize websocket adapter
websocket_adapter_class = self.adapter_dict['websocket']
websocket_logger = EventLogger(name='websocket-adapter', ap=self.ap)
@@ -505,6 +272,9 @@ class PlatformManager:
# 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)
adapter_inst.config['_webhook_prefix'] = self.ap.instance_config.data['api'].get(
'webhook_prefix', 'http://127.0.0.1:5300'
)
runtime_bot = RuntimeBot(ap=self.ap, bot_entity=bot_entity, adapter=adapter_inst, logger=logger)
@@ -523,7 +293,7 @@ class PlatformManager:
return None
async def remove_bot(self, bot_uuid: str):
for bot in self.bots[:]:
for bot in self.bots:
if bot.bot_entity.uuid == bot_uuid:
if bot.enable:
await bot.shutdown()

View File

@@ -5,29 +5,19 @@ metadata:
label:
en_US: OneBot v11
zh_Hans: OneBot v11
zh_Hant: OneBot v11
description:
en_US: OneBot v11 Adapter, used for QQ bots
zh_Hans: OneBot v11 适配器,用于接入 QQ 机器人协议端,请查看文档了解使用方式
zh_Hant: OneBot v11 適配器,用於接入 QQ 機器人協定端,請查看文件了解使用方式
en_US: OneBot v11 Adapter
zh_Hans: OneBot v11 适配器,请查看文档了解使用方式
icon: onebot.png
spec:
categories:
- protocol
help_links:
zh: https://link.langbot.app/zh/platforms/aiocqhttp
en: https://link.langbot.app/en/platforms/aiocqhttp
ja: https://link.langbot.app/ja/platforms/aiocqhttp
config:
- name: host
label:
en_US: Host
zh_Hans: 主机
zh_Hant: 主機
description:
en_US: The host that OneBot v11 listens on for reverse WebSocket connections. Unless you know what you're doing, use 0.0.0.0
zh_Hans: OneBot v11 监听的反向 WS 主机,除非你知道自己在做什么,否则请写 0.0.0.0
zh_Hant: OneBot v11 監聽的反向 WS 主機,除非你知道自己在做什麼,否則請填 0.0.0.0
type: string
required: true
default: 0.0.0.0
@@ -35,11 +25,9 @@ spec:
label:
en_US: Port
zh_Hans: 端口
zh_Hant: 連接埠
description:
en_US: Port
zh_Hans: 监听的端口
zh_Hant: 監聽的連接埠
type: integer
required: true
default: 2280
@@ -47,11 +35,9 @@ spec:
label:
en_US: Access Token
zh_Hans: 访问令牌
zh_Hant: 存取令牌
description:
en_US: Custom connection token for the protocol endpoint. If the protocol endpoint is not set, don't fill it
zh_Hans: 自定义的与协议端的连接令牌,若协议端未设置,则不填
zh_Hant: 自訂的與協定端的連線令牌,若協定端未設定,則不填
type: string
required: false
default: ""

View File

@@ -71,8 +71,7 @@ class DingTalkMessageConverter(abstract_platform_adapter.AbstractMessageConverte
yiri_msg_list.append(platform_message.Image(base64=element['Picture']))
else:
# 回退到原有简单逻辑
# 对于音频消息content 来自 recognition 转写文字,在下方音频处理块中统一处理
if event.content and event.type != 'audio':
if event.content:
text_content = event.content.replace('@' + bot_name, '')
yiri_msg_list.append(platform_message.Plain(text=text_content))
if event.picture:
@@ -82,38 +81,7 @@ class DingTalkMessageConverter(abstract_platform_adapter.AbstractMessageConverte
if event.file:
yiri_msg_list.append(platform_message.File(url=event.file, name=event.name))
if event.audio:
# 优先使用钉钉自带的语音转写文字recognition字段
if event.content and event.type == 'audio':
yiri_msg_list.append(platform_message.Plain(text=event.content))
else:
yiri_msg_list.append(platform_message.Voice(base64=event.audio))
# Handle quoted/replied message - extract content as top-level components
# so that plugins like FileReader can process them the same way as direct messages
if event.quoted_message:
quote_info = event.quoted_message
msg_type = quote_info.get('msg_type', '')
# Process quoted file - add as top-level File component (same as private chat)
if msg_type == 'file' and quote_info.get('file_url'):
file_name = quote_info.get('file_name', 'file')
yiri_msg_list.append(platform_message.File(url=quote_info['file_url'], name=file_name))
# Process quoted image - add as top-level Image component
elif msg_type == 'picture' and quote_info.get('picture'):
yiri_msg_list.append(platform_message.Image(base64=quote_info['picture']))
# Process quoted audio - add as top-level Voice component
elif msg_type == 'audio' and quote_info.get('audio'):
yiri_msg_list.append(platform_message.Voice(base64=quote_info['audio']))
# Process quoted text - add as Plain text with context prefix
elif msg_type == 'text' and quote_info.get('content'):
yiri_msg_list.append(platform_message.Plain(text=f'[引用消息] {quote_info["content"]}'))
# Process quoted rich text - add as Plain text with context prefix
elif msg_type == 'richText' and quote_info.get('content'):
yiri_msg_list.append(platform_message.Plain(text=f'[引用消息] {quote_info["content"]}'))
yiri_msg_list.append(platform_message.Voice(base64=event.audio))
chain = platform_message.MessageChain(yiri_msg_list)

View File

@@ -5,37 +5,16 @@ metadata:
label:
en_US: DingTalk
zh_Hans: 钉钉
zh_Hant: 釘釘
description:
en_US: DingTalk Adapter
zh_Hans: 钉钉适配器,请查看文档了解使用方式
zh_Hant: 釘釘適配器,請查看文件了解使用方式
icon: dingtalk.svg
spec:
categories:
- china
help_links:
zh: https://link.langbot.app/zh/platforms/dingtalk
en: https://link.langbot.app/en/platforms/dingtalk
ja: https://link.langbot.app/ja/platforms/dingtalk
config:
- name: one-click-create
label:
en_US: One-Click Create App
zh_Hans: 一键创建应用
zh_Hant: 一鍵建立應用
description:
en_US: "Scan QR code with DingTalk to automatically create an app and fill in credentials. Note: Robot Code cannot be obtained automatically, you need to copy it from the DingTalk Developer Backend manually."
zh_Hans: "使用钉钉扫码自动创建应用并填写凭据。注意:机器人代码无法自动获取,需前往钉钉开发者后台手动复制。"
zh_Hant: "使用釘釘掃碼自動建立應用並填寫憑證。注意:機器人代碼無法自動取得,需前往釘釘開發者後台手動複製。"
type: qr-code-login
login_platform: dingtalk
required: false
- name: client_id
label:
en_US: Client ID
zh_Hans: 客户端ID
zh_Hant: 用戶端ID
type: string
required: true
default: ""
@@ -43,7 +22,6 @@ spec:
label:
en_US: Client Secret
zh_Hans: 客户端密钥
zh_Hant: 用戶端密鑰
type: string
required: true
default: ""
@@ -51,11 +29,6 @@ spec:
label:
en_US: Robot Code
zh_Hans: 机器人代码
zh_Hant: 機器人代碼
description:
en_US: "Required for image recognition, file upload and other features. Get it from DingTalk Developer Backend > Robot Configuration."
zh_Hans: "识图、上传文件等功能必填。请前往钉钉开发者后台 > 机器人配置中获取。"
zh_Hant: "識圖、上傳檔案等功能必填。請前往釘釘開發者後台 > 機器人設定中取得。"
type: string
required: true
default: ""
@@ -63,7 +36,6 @@ spec:
label:
en_US: Robot Name
zh_Hans: 机器人名称
zh_Hant: 機器人名稱
type: string
required: true
default: ""
@@ -71,7 +43,6 @@ spec:
label:
en_US: Markdown Card
zh_Hans: 是否使用 Markdown 卡片
zh_Hant: 是否使用 Markdown 卡片
type: boolean
required: false
default: true
@@ -79,11 +50,9 @@ spec:
label:
en_US: Enable Stream Reply Mode
zh_Hans: 启用钉钉卡片流式回复模式
zh_Hant: 啟用釘釘卡片串流回覆模式
description:
en_US: If enabled, the bot will use the stream of lark reply mode
zh_Hans: 如果启用,将使用钉钉卡片流式方式来回复内容
zh_Hant: 如果啟用,將使用釘釘卡片串流方式來回覆內容
type: boolean
required: true
default: false
@@ -91,7 +60,6 @@ spec:
label:
en_US: Card Auto Layout
zh_Hans: 卡片宽屏自动布局
zh_Hant: 卡片寬螢幕自動佈局
type: boolean
required: false
default: false
@@ -99,7 +67,6 @@ spec:
label:
en_US: card template id
zh_Hans: 卡片模板ID
zh_Hant: 卡片範本ID
type: string
required: true
default: "填写你的卡片template_id"

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@@ -5,38 +5,16 @@ metadata:
label:
en_US: Discord
zh_Hans: Discord
zh_Hant: Discord
ja_JP: Discord
th_TH: Discord
vi_VN: Discord
es_ES: Discord
description:
en_US: Discord Adapter
zh_Hans: Discord 适配器,需要可连接 Discord 服务器的网络环境
zh_Hant: Discord 適配器,需要可連線 Discord 伺服器的網路環境
ja_JP: Discord アダプター、Discord サーバーに接続可能なネットワーク環境が必要です
th_TH: อะแดปเตอร์ Discord ต้องการสภาพแวดล้อมเครือข่ายที่สามารถเชื่อมต่อกับเซิร์ฟเวอร์ Discord ได้
vi_VN: Bộ điều hợp Discord, cần môi trường mạng có thể kết nối với máy chủ Discord
es_ES: Adaptador de Discord, requiere un entorno de red con acceso al servidor de Discord
zh_Hans: Discord 适配器,请查看文档了解使用方式
icon: discord.svg
spec:
categories:
- popular
- global
help_links:
zh: https://link.langbot.app/zh/platforms/discord
en: https://link.langbot.app/en/platforms/discord
ja: https://link.langbot.app/ja/platforms/discord
config:
- name: client_id
label:
en_US: Client ID
zh_Hans: 客户端ID
zh_Hant: 用戶端ID
ja_JP: クライアント ID
th_TH: รหัสไคลเอนต์
vi_VN: ID khách hàng
es_ES: ID de cliente
type: string
required: true
default: ""
@@ -44,11 +22,6 @@ spec:
label:
en_US: Token
zh_Hans: 令牌
zh_Hant: 令牌
ja_JP: トークン
th_TH: โทเค็น
vi_VN: Mã thông báo
es_ES: Token
type: string
required: true
default: ""

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@@ -0,0 +1,609 @@
import gewechat_client
import typing
import asyncio
import traceback
import re
import copy
import threading
from langbot.pkg.utils import httpclient
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
from ...utils import image
import xml.etree.ElementTree as ET
from typing import Optional, Tuple
from functools import partial
from ..logger import EventLogger
class GewechatMessageConverter(abstract_platform_adapter.AbstractMessageConverter):
def __init__(self, config: dict):
self.config = config
@staticmethod
async def yiri2target(message_chain: platform_message.MessageChain) -> list[dict]:
content_list = []
for component in message_chain:
if isinstance(component, platform_message.At):
content_list.append({'type': 'at', 'target': component.target})
elif isinstance(component, platform_message.Plain):
content_list.append({'type': 'text', 'content': component.text})
elif isinstance(component, platform_message.Image):
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})
elif isinstance(component, platform_message.Forward):
for node in component.node_list:
content_list.extend(await GewechatMessageConverter.yiri2target(node.message_chain))
content_list.append({'type': 'image', 'image': component.url})
elif isinstance(component, platform_message.WeChatMiniPrograms):
content_list.append(
{
'type': 'WeChatMiniPrograms',
'mini_app_id': component.mini_app_id,
'display_name': component.display_name,
'page_path': component.page_path,
'cover_img_url': component.image_url,
'title': component.title,
'user_name': component.user_name,
}
)
elif isinstance(component, platform_message.WeChatForwardMiniPrograms):
content_list.append(
{
'type': 'WeChatForwardMiniPrograms',
'xml_data': component.xml_data,
'image_url': component.image_url,
}
)
elif isinstance(component, platform_message.WeChatEmoji):
content_list.append(
{
'type': 'WeChatEmoji',
'emoji_md5': component.emoji_md5,
'emoji_size': component.emoji_size,
}
)
elif isinstance(component, platform_message.WeChatLink):
content_list.append(
{
'type': 'WeChatLink',
'link_title': component.link_title,
'link_desc': component.link_desc,
'link_thumb_url': component.link_thumb_url,
'link_url': component.link_url,
}
)
elif isinstance(component, platform_message.WeChatForwardLink):
content_list.append({'type': 'WeChatForwardLink', 'xml_data': component.xml_data})
elif isinstance(component, platform_message.WeChatForwardImage):
content_list.append({'type': 'WeChatForwardImage', 'xml_data': component.xml_data})
elif isinstance(component, platform_message.WeChatForwardFile):
content_list.append({'type': 'WeChatForwardFile', 'xml_data': component.xml_data})
elif isinstance(component, platform_message.WeChatAppMsg):
content_list.append({'type': 'WeChatAppMsg', 'app_msg': component.app_msg})
elif isinstance(component, platform_message.WeChatForwardQuote):
content_list.append({'type': 'WeChatAppMsg', 'app_msg': component.app_msg})
elif isinstance(component, platform_message.Forward):
for node in component.node_list:
if node.message_chain:
content_list.extend(await GewechatMessageConverter.yiri2target(node.message_chain))
return content_list
async def target2yiri(self, message: dict, bot_account_id: str) -> platform_message.MessageChain:
message_list = []
ats_bot = False
content = message['Data']['Content']['string']
content_no_preifx = content
is_group_message = self._is_group_message(message)
if is_group_message:
ats_bot = self._ats_bot(message, bot_account_id)
if '@所有人' in content:
message_list.append(platform_message.AtAll())
elif ats_bot:
message_list.append(platform_message.At(target=bot_account_id))
content_no_preifx, _ = self._extract_content_and_sender(content)
msg_type = message['Data']['MsgType']
handler_map = {
1: self._handler_text,
3: self._handler_image,
34: self._handler_voice,
49: self._handler_compound,
}
handler = handler_map.get(msg_type, self._handler_default)
handler_result = await handler(
message=message,
content_no_preifx=content_no_preifx,
)
if handler_result and len(handler_result) > 0:
message_list.extend(handler_result)
return platform_message.MessageChain(message_list)
async def _handler_text(self, message: Optional[dict], content_no_preifx: str) -> platform_message.MessageChain:
if message and self._is_group_message(message):
pattern = r'@\S{1,20}'
content_no_preifx = re.sub(pattern, '', content_no_preifx)
return platform_message.MessageChain([platform_message.Plain(content_no_preifx)])
async def _handler_image(self, message: Optional[dict], content_no_preifx: str) -> platform_message.MessageChain:
try:
image_xml = content_no_preifx
if not image_xml:
return platform_message.MessageChain([platform_message.Unknown('[图片内容为空]')])
base64_str, image_format = await image.get_gewechat_image_base64(
gewechat_url=self.config['gewechat_url'],
gewechat_file_url=self.config['gewechat_file_url'],
app_id=self.config['app_id'],
xml_content=image_xml,
token=self.config['token'],
image_type=2,
)
elements = [
platform_message.Image(base64=f'data:image/{image_format};base64,{base64_str}'),
platform_message.WeChatForwardImage(xml_data=image_xml),
]
return platform_message.MessageChain(elements)
except Exception as e:
print(f'处理图片失败: {str(e)}')
return platform_message.MessageChain([platform_message.Unknown('[图片处理失败]')])
async def _handler_voice(self, message: Optional[dict], content_no_preifx: str) -> platform_message.MessageChain:
message_List = []
try:
audio_base64 = message['Data']['ImgBuf']['buffer']
if not audio_base64:
message_List.append(platform_message.Unknown(text='[语音内容为空]'))
return platform_message.MessageChain(message_List)
voice_element = platform_message.Voice(base64=f'data:audio/silk;base64,{audio_base64}')
message_List.append(voice_element)
except KeyError as e:
print(f'语音数据字段缺失: {str(e)}')
message_List.append(platform_message.Unknown(text='[语音数据解析失败]'))
except Exception as e:
print(f'处理语音消息异常: {str(e)}')
message_List.append(platform_message.Unknown(text='[语音处理失败]'))
return platform_message.MessageChain(message_List)
async def _handler_compound(self, message: Optional[dict], content_no_preifx: str) -> platform_message.MessageChain:
try:
xml_data = ET.fromstring(content_no_preifx)
appmsg_data = xml_data.find('.//appmsg')
if appmsg_data:
data_type = appmsg_data.findtext('.//type', '')
sub_handler_map = {
'57': self._handler_compound_quote,
'5': self._handler_compound_link,
'6': self._handler_compound_file,
'33': self._handler_compound_mini_program,
'36': self._handler_compound_mini_program,
'2000': partial(self._handler_compound_unsupported, text='[转账消息]'),
'2001': partial(self._handler_compound_unsupported, text='[红包消息]'),
'51': partial(self._handler_compound_unsupported, text='[视频号消息]'),
}
handler = sub_handler_map.get(data_type, self._handler_compound_unsupported)
return await handler(
message=message,
xml_data=xml_data,
)
else:
return platform_message.MessageChain([platform_message.Unknown(text=content_no_preifx)])
except Exception as e:
print(f'解析复合消息失败: {str(e)}')
return platform_message.MessageChain([platform_message.Unknown(text=content_no_preifx)])
async def _handler_compound_quote(
self, message: Optional[dict], xml_data: ET.Element
) -> platform_message.MessageChain:
message_list = []
appmsg_data = xml_data.find('.//appmsg')
quote_data = ''
user_data = ''
sender_id = xml_data.findtext('.//fromusername')
if appmsg_data:
user_data = appmsg_data.findtext('.//title') or ''
quote_data = appmsg_data.find('.//refermsg').findtext('.//content')
message_list.append(
platform_message.WeChatForwardQuote(app_msg=ET.tostring(appmsg_data, encoding='unicode'))
)
if quote_data:
quote_data_message_list = platform_message.MessageChain()
try:
if '<msg>' not in quote_data:
quote_data_message_list.append(platform_message.Plain(quote_data))
else:
quote_data_xml = ET.fromstring(quote_data)
if quote_data_xml.find('img'):
quote_data_message_list.extend(await self._handler_image(None, quote_data))
elif quote_data_xml.find('voicemsg'):
quote_data_message_list.extend(await self._handler_voice(None, quote_data))
elif quote_data_xml.find('videomsg'):
quote_data_message_list.extend(await self._handler_default(None, quote_data))
else:
quote_data_message_list.extend(await self._handler_compound(None, quote_data))
except Exception as e:
print(f'处理引用消息异常 expcetion:{e}')
quote_data_message_list.append(platform_message.Plain(quote_data))
message_list.append(
platform_message.Quote(
sender_id=sender_id,
origin=quote_data_message_list,
)
)
if len(user_data) > 0:
pattern = r'@\S{1,20}'
user_data = re.sub(pattern, '', user_data)
message_list.append(platform_message.Plain(user_data))
return platform_message.MessageChain(message_list)
async def _handler_compound_file(self, message: dict, xml_data: ET.Element) -> platform_message.MessageChain:
xml_data_str = ET.tostring(xml_data, encoding='unicode')
return platform_message.MessageChain([platform_message.WeChatForwardFile(xml_data=xml_data_str)])
async def _handler_compound_link(self, message: dict, xml_data: ET.Element) -> platform_message.MessageChain:
message_list = []
try:
appmsg = xml_data.find('.//appmsg')
if appmsg is None:
return platform_message.MessageChain()
message_list.append(
platform_message.WeChatLink(
link_title=appmsg.findtext('title', ''),
link_desc=appmsg.findtext('des', ''),
link_url=appmsg.findtext('url', ''),
link_thumb_url=appmsg.findtext('thumburl', ''),
)
)
xml_data_str = ET.tostring(xml_data, encoding='unicode')
message_list.append(platform_message.WeChatForwardLink(xml_data=xml_data_str))
except Exception as e:
print(f'解析链接消息失败: {str(e)}')
return platform_message.MessageChain(message_list)
async def _handler_compound_mini_program(
self, message: dict, xml_data: ET.Element
) -> platform_message.MessageChain:
xml_data_str = ET.tostring(xml_data, encoding='unicode')
return platform_message.MessageChain([platform_message.WeChatForwardMiniPrograms(xml_data=xml_data_str)])
async def _handler_default(self, message: Optional[dict], content_no_preifx: str) -> platform_message.MessageChain:
if message:
msg_type = message['Data']['MsgType']
else:
msg_type = ''
return platform_message.MessageChain([platform_message.Unknown(text=f'[未知消息类型 msg_type:{msg_type}]')])
def _handler_compound_unsupported(
self, message: dict, xml_data: str, text: Optional[str] = None
) -> platform_message.MessageChain:
if not text:
text = f'[xml_data={xml_data}]'
content_list = []
content_list.append(platform_message.Unknown(text=f'[处理未支持复合消息类型[msg_type=49]|{text}'))
return platform_message.MessageChain(content_list)
def _ats_bot(self, message: dict, bot_account_id: str) -> bool:
ats_bot = False
try:
to_user_name = message['Wxid']
raw_content = message['Data']['Content']['string']
content_no_prefix, _ = self._extract_content_and_sender(raw_content)
push_content = message.get('Data', {}).get('PushContent', '')
ats_bot = ats_bot or ('在群聊中@了你' in push_content)
msg_source = message.get('Data', {}).get('MsgSource', '') or ''
if len(msg_source) > 0:
msg_source_data = ET.fromstring(msg_source)
at_user_list = msg_source_data.findtext('atuserlist') or ''
ats_bot = ats_bot or (to_user_name in at_user_list)
if message.get('Data', {}).get('MsgType', 0) == 49:
xml_data = ET.fromstring(content_no_prefix)
appmsg_data = xml_data.find('.//appmsg')
tousername = message['Wxid']
if appmsg_data:
quote_id = appmsg_data.find('.//refermsg').findtext('.//chatusr')
ats_bot = ats_bot or (quote_id == tousername)
except Exception as e:
print(f'Error in gewechat _ats_bot: {e}')
finally:
return ats_bot
def _extract_content_and_sender(self, raw_content: str) -> Tuple[str, Optional[str]]:
try:
regex = re.compile(r'^[a-zA-Z0-9_\-]{5,20}:')
line_split = raw_content.split('\n')
if len(line_split) > 0 and regex.match(line_split[0]):
raw_content = '\n'.join(line_split[1:])
sender_id = line_split[0].strip(':')
return raw_content, sender_id
except Exception as e:
print(f'_extract_content_and_sender got except: {e}')
finally:
return raw_content, None
def _is_group_message(self, message: dict) -> bool:
from_user_name = message['Data']['FromUserName']['string']
return from_user_name.endswith('@chatroom')
class GewechatEventConverter(abstract_platform_adapter.AbstractEventConverter):
def __init__(self, config: dict):
self.config = config
self.message_converter = GewechatMessageConverter(config)
@staticmethod
async def yiri2target(event: platform_events.MessageEvent) -> dict:
pass
async def target2yiri(self, event: dict, bot_account_id: str) -> platform_events.MessageEvent:
if event['Wxid'] == event['Data']['FromUserName']['string']:
return None
if event['Data']['FromUserName']['string'].startswith('gh_') or event['Data']['FromUserName'][
'string'
].startswith('weixin'):
return None
message_chain = await self.message_converter.target2yiri(copy.deepcopy(event), bot_account_id)
if not message_chain:
return None
if '@chatroom' in event['Data']['FromUserName']['string']:
sender_wxid = event['Data']['Content']['string'].split(':')[0]
return platform_events.GroupMessage(
sender=platform_entities.GroupMember(
id=sender_wxid,
member_name=event['Data']['FromUserName']['string'],
permission=platform_entities.Permission.Member,
group=platform_entities.Group(
id=event['Data']['FromUserName']['string'],
name=event['Data']['FromUserName']['string'],
permission=platform_entities.Permission.Member,
),
special_title='',
),
message_chain=message_chain,
time=event['Data']['CreateTime'],
source_platform_object=event,
)
else:
return platform_events.FriendMessage(
sender=platform_entities.Friend(
id=event['Data']['FromUserName']['string'],
nickname=event['Data']['FromUserName']['string'],
remark='',
),
message_chain=message_chain,
time=event['Data']['CreateTime'],
source_platform_object=event,
)
class GeWeChatAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
bot: gewechat_client.GewechatClient = None
bot_uuid: str = None
message_converter: GewechatMessageConverter = None
event_converter: GewechatEventConverter = None
listeners: typing.Dict[
typing.Type[platform_events.Event],
typing.Callable[[platform_events.Event, abstract_platform_adapter.AbstractMessagePlatformAdapter], None],
] = {}
def __init__(self, config: dict, logger: EventLogger):
super().__init__(
config=config,
logger=logger,
)
self.message_converter = GewechatMessageConverter(config)
self.event_converter = GewechatEventConverter(config)
def set_bot_uuid(self, bot_uuid: str):
self.bot_uuid = bot_uuid
async def handle_unified_webhook(self, bot_uuid: str, path: str, request):
data = await request.json
await self.logger.debug(f'Gewechat callback event: {data}')
if 'data' in data:
data['Data'] = data['data']
if 'type_name' in data:
data['TypeName'] = data['type_name']
if 'testMsg' in data:
return 'ok'
elif 'TypeName' in data and data['TypeName'] == 'AddMsg':
try:
event = await self.event_converter.target2yiri(data.copy(), self.bot_account_id)
except Exception:
await self.logger.error(f'Error in gewechat callback: {traceback.format_exc()}')
return 'ok'
if event and event.__class__ in self.listeners:
await self.listeners[event.__class__](event, self)
return 'ok'
return 'ok'
async def _handle_message(self, message: platform_message.MessageChain, target_id: str):
content_list = await self.message_converter.yiri2target(message)
at_targets = [item['target'] for item in content_list if item['type'] == 'at']
at_targets = at_targets or []
member_info = []
if at_targets:
member_info = self.bot.get_chatroom_member_detail(self.config['app_id'], target_id, at_targets[::-1])[
'data'
]
for msg in content_list:
if msg['type'] == 'text' and at_targets:
for member in member_info:
msg['content'] = f'@{member["nickName"]} {msg["content"]}'
handler_map = {
'text': lambda msg: self.bot.post_text(
app_id=self.config['app_id'],
to_wxid=target_id,
content=msg['content'],
ats=','.join(at_targets),
),
'image': lambda msg: self.bot.post_image(
app_id=self.config['app_id'],
to_wxid=target_id,
img_url=msg['image'],
),
'WeChatForwardMiniPrograms': lambda msg: self.bot.forward_mini_app(
app_id=self.config['app_id'],
to_wxid=target_id,
xml=msg['xml_data'],
cover_img_url=msg.get('image_url'),
),
'WeChatEmoji': lambda msg: self.bot.post_emoji(
app_id=self.config['app_id'],
to_wxid=target_id,
emoji_md5=msg['emoji_md5'],
emoji_size=msg['emoji_size'],
),
'WeChatLink': lambda msg: self.bot.post_link(
app_id=self.config['app_id'],
to_wxid=target_id,
title=msg['link_title'],
desc=msg['link_desc'],
link_url=msg['link_url'],
thumb_url=msg['link_thumb_url'],
),
'WeChatMiniPrograms': lambda msg: self.bot.post_mini_app(
app_id=self.config['app_id'],
to_wxid=target_id,
mini_app_id=msg['mini_app_id'],
display_name=msg['display_name'],
page_path=msg['page_path'],
cover_img_url=msg['cover_img_url'],
title=msg['title'],
user_name=msg['user_name'],
),
'WeChatForwardLink': lambda msg: self.bot.forward_url(
app_id=self.config['app_id'], to_wxid=target_id, xml=msg['xml_data']
),
'WeChatForwardImage': lambda msg: self.bot.forward_image(
app_id=self.config['app_id'], to_wxid=target_id, xml=msg['xml_data']
),
'WeChatForwardFile': lambda msg: self.bot.forward_file(
app_id=self.config['app_id'], to_wxid=target_id, xml=msg['xml_data']
),
'voice': lambda msg: self.bot.post_voice(
app_id=self.config['app_id'],
to_wxid=target_id,
voice_url=msg['url'],
voice_duration=msg['length'],
),
'WeChatAppMsg': lambda msg: self.bot.post_app_msg(
app_id=self.config['app_id'],
to_wxid=target_id,
appmsg=msg['app_msg'],
),
'at': lambda msg: None,
}
if handler := handler_map.get(msg['type']):
handler(msg)
else:
await self.logger.warning(f'未处理的消息类型: {msg["type"]}')
continue
async def send_message(self, target_type: str, target_id: str, message: platform_message.MessageChain):
return await self._handle_message(message, target_id)
async def reply_message(
self,
message_source: platform_events.MessageEvent,
message: platform_message.MessageChain,
quote_origin: bool = False,
):
if message_source.source_platform_object:
target_id = message_source.source_platform_object['Data']['FromUserName']['string']
return await self._handle_message(message, target_id)
async def is_muted(self, group_id: int) -> bool:
pass
def register_listener(
self,
event_type: typing.Type[platform_events.Event],
callback: typing.Callable[
[platform_events.Event, abstract_platform_adapter.AbstractMessagePlatformAdapter], None
],
):
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
],
):
pass
def _build_callback_url(self) -> str:
webhook_prefix = self.config.get('_webhook_prefix', 'http://127.0.0.1:5300').rstrip('/')
return f'{webhook_prefix}/bots/{self.bot_uuid}'
async def run_async(self):
if not self.config['token']:
session = httpclient.get_session()
async with session.post(
f'{self.config["gewechat_url"]}/v2/api/tools/getTokenId',
json={'app_id': self.config['app_id']},
) as response:
if response.status != 200:
raise Exception(f'获取gewechat token失败: {await response.text()}')
self.config['token'] = (await response.json())['data']
self.bot = gewechat_client.GewechatClient(f'{self.config["gewechat_url"]}/v2/api', self.config['token'])
def gewechat_init_process():
profile = self.bot.get_profile(self.config['app_id'])
self.bot_account_id = profile['data']['nickName']
try:
callback_url = self._build_callback_url()
self.bot.set_callback(self.config['token'], callback_url)
print(f'Gewechat 回调地址已设置: {callback_url}')
except Exception as e:
raise Exception(f'设置 Gewechat 回调失败token失效{e}')
threading.Thread(target=gewechat_init_process).start()
# 统一 webhook 模式下,不启动独立的 HTTP 服务
# 保持适配器运行
while True:
await asyncio.sleep(1)
async def kill(self) -> bool:
return False

View File

@@ -0,0 +1,51 @@
apiVersion: v1
kind: MessagePlatformAdapter
metadata:
name: gewechat
label:
en_US: GeWeChat
zh_Hans: GeWeChat个人微信
description:
en_US: GeWeChat Adapter (Unified Webhook)
zh_Hans: GeWeChat 适配器(统一 Webhook请查看文档了解使用方式
icon: gewechat.png
spec:
config:
- name: gewechat_url
label:
en_US: GeWeChat URL
zh_Hans: GeWeChat URL
description:
en_US: GeWeChat API server address, e.g. http://127.0.0.1:2531
zh_Hans: GeWeChat API 服务器地址,如 http://127.0.0.1:2531
type: string
required: true
default: ""
- name: gewechat_file_url
label:
en_US: GeWeChat file download URL
zh_Hans: GeWeChat 文件下载URL
description:
en_US: GeWeChat file download service address
zh_Hans: GeWeChat 文件下载服务地址
type: string
required: true
default: ""
- name: app_id
label:
en_US: App ID
zh_Hans: 应用ID
type: string
required: true
default: ""
- name: token
label:
en_US: Token
zh_Hans: 令牌
type: string
required: true
default: ""
execution:
python:
path: ./gewechat.py
attr: GeWeChatAdapter

View File

@@ -5,25 +5,16 @@ metadata:
label:
en_US: KOOK
zh_Hans: KOOK
zh_Hant: 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
zh_Hant: KOOK 適配器(原開黑啦),支援頻道訊息和私聊訊息
icon: kook.png
spec:
categories:
- china
help_links:
zh: https://link.langbot.app/zh/platforms/kook
en: https://link.langbot.app/en/platforms/kook
ja: https://link.langbot.app/ja/platforms/kook
config:
- name: token
label:
en_US: Bot Token
zh_Hans: 机器人令牌
zh_Hant: 機器人令牌
type: string
required: true
default: ""

View File

@@ -709,29 +709,21 @@ class LarkEventConverter(abstract_platform_adapter.AbstractEventConverter):
message_chain = await LarkMessageConverter.target2yiri(event.event.message, api_client)
# Check for quote/reply message
# Extract files/images/voice from quote and add them as top-level components
# so that plugins like FileReader can process them the same way as direct messages
quote_message_id = LarkEventConverter._extract_quote_message_id(event.event.message)
if quote_message_id:
quote_chain = await LarkEventConverter._fetch_quoted_message(quote_message_id, api_client)
if quote_chain:
# Filter out Source component from quoted chain, keep only content
quote_components = [comp for comp in quote_chain if not isinstance(comp, platform_message.Source)]
# Add quoted content as top-level components instead of wrapping in Quote
for comp in quote_components:
if isinstance(comp, platform_message.File):
# Add file as top-level component (same as direct message)
message_chain.append(comp)
elif isinstance(comp, platform_message.Image):
# Add image as top-level component
message_chain.append(comp)
elif isinstance(comp, platform_message.Voice):
# Add voice as top-level component
message_chain.append(comp)
elif isinstance(comp, platform_message.Plain):
# Add text with context prefix
message_chain.append(platform_message.Plain(text=f'[引用消息] {comp.text}'))
quote_origin = platform_message.MessageChain(
[comp for comp in quote_chain if not isinstance(comp, platform_message.Source)]
)
if quote_origin:
message_chain.append(
platform_message.Quote(
message_id=quote_message_id,
origin=quote_origin,
)
)
if event.event.message.chat_type == 'p2p':
return platform_events.FriendMessage(
@@ -787,13 +779,6 @@ 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
# Monitoring message ID mapping for feedback correlation
# Temp: user Lark message ID → monitoring_message_id (populated by on_monitoring_message_created, consumed by create_message_card)
pending_monitoring_msg: dict[str, str]
# Final: reply Lark message ID → (monitoring_message_id, timestamp) (used by feedback callbacks)
reply_to_monitoring_msg: dict[str, tuple[str, float]]
_MONITORING_MAPPING_TTL = 600 # 10 minutes
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
@@ -812,71 +797,8 @@ class LarkAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
def sync_on_message(event: lark_oapi.im.v1.P2ImMessageReceiveV1):
asyncio.create_task(on_message(event))
def sync_on_card_action(event):
try:
action_value_obj = getattr(getattr(event.event, 'action', None), 'value', {})
action_value = action_value_obj.get('feedback', '') if isinstance(action_value_obj, dict) else ''
if action_value == '有帮助':
feedback_type = 1
elif action_value == '无帮助':
feedback_type = 2
else:
from lark_oapi.event.callback.model.p2_card_action_trigger import P2CardActionTriggerResponse
return P2CardActionTriggerResponse({'toast': {'type': 'success', 'content': '操作成功'}})
operator = getattr(event.event, 'operator', None)
context = getattr(event.event, 'context', None)
user_id = getattr(operator, 'open_id', None) or getattr(operator, 'user_id', None)
open_chat_id = getattr(context, 'open_chat_id', None)
open_message_id = getattr(context, 'open_message_id', None)
if open_chat_id:
session_id = f'group_{open_chat_id}'
elif user_id:
session_id = f'person_{user_id}'
else:
session_id = None
# Resolve monitoring message ID from reply message mapping
monitoring_msg_id = None
if open_message_id and open_message_id in self.reply_to_monitoring_msg:
monitoring_msg_id = self.reply_to_monitoring_msg[open_message_id][0]
feedback_event = platform_events.FeedbackEvent(
feedback_id=getattr(event.header, 'event_id', str(uuid.uuid4())),
feedback_type=feedback_type,
feedback_content=action_value,
user_id=user_id,
session_id=session_id,
message_id=open_message_id,
stream_id=monitoring_msg_id,
source_platform_object=event,
)
if platform_events.FeedbackEvent in self.listeners:
loop = asyncio.get_event_loop()
if loop.is_running():
asyncio.create_task(self.listeners[platform_events.FeedbackEvent](feedback_event, self))
else:
loop.run_until_complete(self.listeners[platform_events.FeedbackEvent](feedback_event, self))
from lark_oapi.event.callback.model.p2_card_action_trigger import P2CardActionTriggerResponse
return P2CardActionTriggerResponse({'toast': {'type': 'success', 'content': '感谢您的反馈'}})
except Exception:
asyncio.create_task(self.logger.error(f'Error in lark card action callback: {traceback.format_exc()}'))
from lark_oapi.event.callback.model.p2_card_action_trigger import P2CardActionTriggerResponse
return P2CardActionTriggerResponse({'toast': {'type': 'error', 'content': '反馈处理失败'}})
event_handler = (
lark_oapi.EventDispatcherHandler.builder('', '')
.register_p2_im_message_receive_v1(sync_on_message)
.register_p2_card_action_trigger(sync_on_card_action)
.build()
lark_oapi.EventDispatcherHandler.builder('', '').register_p2_im_message_receive_v1(sync_on_message).build()
)
bot_account_id = config['bot_name']
@@ -891,8 +813,6 @@ class LarkAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
logger=logger,
lark_tenant_key=config.get('lark_tenant_key', ''),
card_id_dict={},
pending_monitoring_msg={},
reply_to_monitoring_msg={},
seq=1,
listeners={},
quart_app=quart_app,
@@ -1025,90 +945,7 @@ class LarkAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
return api_client
async def send_message(self, target_type: str, target_id: str, message: platform_message.MessageChain):
text_elements, media_items = await self.message_converter.yiri2target(message, self.api_client)
# Map standard target_type to Feishu receive_id_type
if target_type == 'person':
receive_id_type = 'open_id'
elif target_type == 'group':
receive_id_type = 'chat_id'
else:
receive_id_type = target_type
# Send text message if there are text elements
if text_elements:
needs_post = any(ele['tag'] == 'at' for paragraph in text_elements for ele in paragraph)
if needs_post:
msg_type = 'post'
final_content = json.dumps(
{
'zh_Hans': {
'title': '',
'content': text_elements,
},
}
)
else:
msg_type = 'text'
parts = []
for paragraph in text_elements:
para_text = ''.join(ele.get('text', '') for ele in paragraph)
if para_text:
parts.append(para_text)
final_content = json.dumps({'text': '\n\n'.join(parts)})
request: CreateMessageRequest = (
CreateMessageRequest.builder()
.receive_id_type(receive_id_type)
.request_body(
CreateMessageRequestBody.builder()
.receive_id(target_id)
.content(final_content)
.msg_type(msg_type)
.uuid(str(uuid.uuid4()))
.build()
)
.build()
)
app_access_token = self.get_app_access_token()
req_opt: RequestOption = (
RequestOption.builder().app_ticket(self.app_ticket).app_access_token(app_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)}'
)
# Send media messages separately (image, audio, file, etc.)
for media in media_items:
request: CreateMessageRequest = (
CreateMessageRequest.builder()
.receive_id_type(receive_id_type)
.request_body(
CreateMessageRequestBody.builder()
.receive_id(target_id)
.content(json.dumps(media['content']))
.msg_type(media['msg_type'])
.uuid(str(uuid.uuid4()))
.build()
)
.build()
)
app_access_token = self.get_app_access_token()
req_opt: RequestOption = (
RequestOption.builder().app_ticket(self.app_ticket).app_access_token(app_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 ({media["msg_type"]}) 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)}'
)
pass
async def is_stream_output_supported(self) -> bool:
is_stream = False
@@ -1116,22 +953,6 @@ class LarkAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
is_stream = True
return is_stream
async def on_monitoring_message_created(self, query, monitoring_message_id: str):
"""Called by pipeline after monitoring message is created, to map user message ID to monitoring message ID."""
try:
user_msg_id = query.message_event.message_chain.message_id
if user_msg_id:
self.pending_monitoring_msg[user_msg_id] = monitoring_message_id
except Exception as e:
await self.logger.debug(f'Failed to map message to monitoring message: {e}')
def _cleanup_monitoring_mapping(self):
"""Remove entries older than TTL from the reply-to-monitoring mapping."""
now = time.time()
expired = [k for k, (_, ts) in self.reply_to_monitoring_msg.items() if now - ts > self._MONITORING_MAPPING_TTL]
for k in expired:
del self.reply_to_monitoring_msg[k]
async def create_card_id(self, message_id):
try:
# self.logger.debug('飞书支持stream输出,创建卡片......')
@@ -1267,7 +1088,6 @@ class LarkAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
'size': 'medium',
'icon': {'tag': 'standard_icon', 'token': 'thumbsup_outlined'},
'hover_tips': {'tag': 'plain_text', 'content': '有帮助'},
'behaviors': [{'type': 'callback', 'value': {'feedback': '有帮助'}}],
'margin': '0px 0px 0px 0px',
}
],
@@ -1291,7 +1111,6 @@ class LarkAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
'size': 'medium',
'icon': {'tag': 'standard_icon', 'token': 'thumbdown_outlined'},
'hover_tips': {'tag': 'plain_text', 'content': '无帮助'},
'behaviors': [{'type': 'callback', 'value': {'feedback': '无帮助'}}],
'margin': '0px 0px 0px 0px',
}
],
@@ -1371,18 +1190,6 @@ class LarkAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
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)}'
)
# Transfer monitoring message mapping: user msg ID → reply msg ID
try:
user_msg_id = event.message_chain.message_id
reply_msg_id = getattr(response.data, 'message_id', None)
monitoring_msg_id = self.pending_monitoring_msg.pop(user_msg_id, None)
if reply_msg_id and monitoring_msg_id:
self.reply_to_monitoring_msg[reply_msg_id] = (monitoring_msg_id, time.time())
self._cleanup_monitoring_mapping()
except Exception as e:
asyncio.create_task(self.logger.debug(f'Failed to transfer monitoring mapping in create_message_card: {e}'))
return True
async def reply_message(
@@ -1665,58 +1472,6 @@ class LarkAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
if event.__class__ in self.listeners:
await self.listeners[event.__class__](event, self)
elif 'card.action.trigger' == type:
try:
event_data = data.get('event', {})
operator = event_data.get('operator', {})
action = event_data.get('action', {})
context_data = event_data.get('context', {})
action_value_obj = action.get('value', {})
action_value = action_value_obj.get('feedback', '') if isinstance(action_value_obj, dict) else ''
if action_value == '有帮助':
feedback_type = 1
elif action_value == '无帮助':
feedback_type = 2
else:
return {'toast': {'type': 'success', 'content': '操作成功'}}
user_id = operator.get('open_id') or operator.get('user_id')
open_chat_id = context_data.get('open_chat_id')
open_message_id = context_data.get('open_message_id')
if open_chat_id:
session_id = f'group_{open_chat_id}'
elif user_id:
session_id = f'person_{user_id}'
else:
session_id = None
# Resolve monitoring message ID from reply message mapping
monitoring_msg_id = None
if open_message_id and open_message_id in self.reply_to_monitoring_msg:
monitoring_msg_id = self.reply_to_monitoring_msg[open_message_id][0]
feedback_event = platform_events.FeedbackEvent(
feedback_id=data.get('header', {}).get('event_id', str(uuid.uuid4())),
feedback_type=feedback_type,
feedback_content=action_value,
user_id=user_id,
session_id=session_id,
message_id=open_message_id,
stream_id=monitoring_msg_id,
source_platform_object=data,
)
if platform_events.FeedbackEvent in self.listeners:
await self.listeners[platform_events.FeedbackEvent](feedback_event, self)
return {'toast': {'type': 'success', 'content': '感谢您的反馈'}}
except Exception:
await self.logger.error(f'Error in lark card action callback: {traceback.format_exc()}')
return {'toast': {'type': 'error', 'content': '反馈处理失败'}}
elif 'im.chat.member.bot.added_v1' == type:
try:
bot_added_welcome_msg = self.config.get('bot_added_welcome', '')

View File

@@ -5,44 +5,16 @@ metadata:
label:
en_US: Lark
zh_Hans: 飞书
zh_Hant: 飛書
ja_JP: Lark
description:
en_US: Lark Adapter, supports both long connection and Webhook modes. Please refer to the documentation for usage details.
zh_Hans: 飞书适配器,支持长连接和 Webhook 两种接入方式,请查看文档了解使用方式
zh_Hant: 飛書適配器,支援長連線和 Webhook 兩種接入方式,請查看文件了解使用方式
ja_JP: Lark アダプター、長期接続およびWebhookモードの両方をサポートしています。使用方法の詳細については、ドキュメントを参照してください。
en_US: Lark Adapter
zh_Hans: 飞书适配器,请查看文档了解使用方式
icon: lark.svg
spec:
categories:
- popular
- china
- global
help_links:
zh: https://link.langbot.app/zh/platforms/lark
en: https://link.langbot.app/en/platforms/lark
ja: https://link.langbot.app/ja/platforms/lark
config:
- name: one-click-create
label:
en_US: One-Click Create App
zh_Hans: 一键创建应用
zh_Hant: 一鍵建立應用
ja_JP: ワンクリックでアプリ作成
description:
en_US: Scan QR code to automatically create a Feishu app and fill in credentials
zh_Hans: 扫码自动创建飞书应用并填写凭据
zh_Hant: 掃碼自動建立飛書應用並填寫憑證
ja_JP: QRコードをスキャンしてFeishuアプリを自動作成し、認証情報を入力
type: qr-code-login
login_platform: feishu
required: false
- name: app_id
label:
en_US: App ID
zh_Hans: 应用ID
zh_Hant: 應用ID
ja_JP: アプリ ID
type: string
required: true
default: ""
@@ -50,8 +22,6 @@ spec:
label:
en_US: App Secret
zh_Hans: 应用密钥
zh_Hant: 應用密鑰
ja_JP: アプリシークレット
type: string
required: true
default: ""
@@ -59,13 +29,9 @@ spec:
label:
en_US: Bot Name
zh_Hans: 机器人名称
zh_Hant: 機器人名稱
ja_JP: ボット名
description:
en_US: Must be the same as the name of the bot in Lark, otherwise the bot will not be able to receive messages in the group
zh_Hans: 必须与飞书机器人名称一致,否则机器人将无法在群内正常接收消息
zh_Hant: 必須與飛書機器人名稱一致,否則機器人將無法在群組內正常接收訊息
ja_JP: Lark のボット名と一致する必要があります。一致しない場合、グループ内でメッセージを受信できません
type: string
required: true
default: ""
@@ -73,63 +39,29 @@ spec:
label:
en_US: Enable Webhook Mode
zh_Hans: 启用Webhook模式
zh_Hant: 啟用 Webhook 模式
ja_JP: Webhook モードを有効化
description:
en_US: If enabled, the bot will use webhook mode to receive messages. Otherwise, it will use WS long connection mode
zh_Hans: 如果启用,机器人将使用 Webhook 模式接收消息。否则,将使用 WS 长连接模式
zh_Hant: 如果啟用,機器人將使用 Webhook 模式接收訊息。否則,將使用 WS 長連線模式
ja_JP: 有効にすると、ボットは Webhook モードでメッセージを受信します。無効の場合は WS 長期接続モードを使用します
type: boolean
required: true
default: false
- name: webhook_url
label:
en_US: Webhook Callback URL
zh_Hans: Webhook 回调地址
zh_Hant: Webhook 回調地址
ja_JP: Webhook コールバック URL
description:
en_US: Copy this URL and paste it into your Lark app's webhook configuration
zh_Hans: 复制此地址并粘贴到飞书应用的 Webhook 配置中
zh_Hant: 複製此地址並貼到飛書應用的 Webhook 設定中
ja_JP: この URL をコピーして Lark アプリの Webhook 設定に貼り付けてください
type: webhook-url
required: false
default: ""
show_if:
field: enable-webhook
operator: eq
value: true
- name: encrypt-key
label:
en_US: Encrypt Key
zh_Hans: 加密密钥
zh_Hant: 加密密鑰
ja_JP: 暗号化キー
description:
en_US: Only valid when webhook mode is enabled, please fill in the encrypt key
zh_Hans: 仅在启用 Webhook 模式时有效,请填写加密密钥
zh_Hant: 僅在啟用 Webhook 模式時有效,請填寫加密密鑰
ja_JP: Webhook モードが有効な場合にのみ有効です。暗号化キーを入力してください
type: string
required: true
default: ""
show_if:
field: enable-webhook
operator: eq
value: true
- name: enable-stream-reply
label:
en_US: Enable Stream Reply Mode
zh_Hans: 启用飞书流式回复模式
zh_Hant: 啟用飛書串流回覆模式
ja_JP: ストリーミング返信モードを有効化
description:
en_US: If enabled, the bot will use the stream of lark reply mode
zh_Hans: 如果启用,将使用飞书流式方式来回复内容
zh_Hant: 如果啟用,將使用飛書串流方式來回覆內容
ja_JP: 有効にすると、ボットはストリーミングモードでメッセージに返信します
type: boolean
required: true
default: false
@@ -137,40 +69,28 @@ spec:
label:
en_US: App Type
zh_Hans: 应用类型
zh_Hant: 應用類型
ja_JP: アプリタイプ
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
zh_Hant: 預設為企業自建應用,參考 https://open.feishu.cn/document/platform-overveiw/overview
ja_JP: デフォルトはカスタムアプリです。詳細は https://open.feishu.cn/document/platform-overveiw/overview を参照してください
type: select
options:
- name: self
label:
en_US: Self-built Application
zh_Hans: 自建应用
zh_Hant: 自建應用
ja_JP: カスタムアプリ
- name: isv
label:
en_US: Store Application
zh_Hans: 商店应用
zh_Hant: 商店應用
ja_JP: ストアアプリ
required: false
default: self
- name: bot_added_welcome
label:
en_US: Bot Welcome Message
zh_Hans: 机器人进群欢迎语
zh_Hant: 機器人進群歡迎語
ja_JP: ボット参加時のウェルカムメッセージ
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
zh_Hant: 機器人進群歡迎語,支援 Markdown 格式
ja_JP: ボットがグループに追加された際のウェルカムメッセージ。Markdown 形式に対応しています
type: text
required: false
default: ""

View File

@@ -5,56 +5,20 @@ metadata:
label:
en_US: LINE
zh_Hans: LINE
zh_Hant: LINE
th_TH: LINE
vi_VN: LINE
es_ES: LINE
description:
en_US: LINE Adapter, requires a public URL to receive LINE message pushes, please refer to the documentation for usage details
zh_Hans: LINE适配器需要公网地址以接收 LINE 消息推送,请查看文档了解使用方式
zh_Hant: LINE 適配器,需要公網地址以接收 LINE 訊息推送,請查看文件了解使用方式
ja_JP: LINEアダプター、LINEのメッセージプッシュを受信するためにパブリックURLが必要です。使用方法の詳細については、ドキュメントを参照してください。
th_TH: อะแดปเตอร์ LINE ต้องการ URL สาธารณะเพื่อรับการแจ้งเตือนข้อความจาก LINE โปรดดูเอกสารประกอบสำหรับรายละเอียดการใช้งาน
vi_VN: Bộ điều hợp LINE, cần URL công cộng để nhận thông báo tin nhắn LINE, vui lòng xem tài liệu để biết chi tiết cách sử dụng
es_ES: Adaptador de LINE, requiere una URL pública para recibir notificaciones de mensajes de LINE, consulte la documentación para obtener detalles de uso
en_US: LINE Adapter
zh_Hans: LINE适配器请查看文档了解使用方式
ja_JP: LINEアダプター、ドキュメントを参照してください
zh_Hant: LINE適配器,請查看文檔了解使用方式
icon: line.png
spec:
categories:
- global
help_links:
zh: https://link.langbot.app/zh/platforms/line
en: https://link.langbot.app/en/platforms/line
ja: https://link.langbot.app/ja/platforms/line
config:
- name: webhook_url
label:
en_US: Webhook Callback URL
zh_Hans: Webhook 回调地址
ja_JP: Webhook コールバック URL
zh_Hant: Webhook 回調地址
th_TH: URL การเรียกกลับ Webhook
vi_VN: URL gọi lại Webhook
es_ES: URL de devolución de llamada Webhook
description:
en_US: Copy this URL and paste it into your LINE channel's webhook configuration
zh_Hans: 复制此地址并粘贴到 LINE 频道的 Webhook 配置中
ja_JP: この URL をコピーして LINE チャンネルの Webhook 設定に貼り付けてください
zh_Hant: 複製此地址並貼到 LINE 頻道的 Webhook 設定中
th_TH: คัดลอก URL นี้แล้ววางในการตั้งค่า Webhook ของช่อง LINE ของคุณ
vi_VN: Sao chép URL này và dán vào cấu hình webhook của kênh LINE của bạn
es_ES: Copie esta URL y péguela en la configuración de webhook de su canal LINE
type: webhook-url
required: false
default: ""
- name: channel_access_token
label:
en_US: Channel access token
zh_Hans: 频道访问令牌
ja_JP: チャンネルアクセストークン
zh_Hant: 頻道存取令牌
th_TH: โทเค็นการเข้าถึงช่อง
vi_VN: Mã truy cập kênh
es_ES: Token de acceso del canal
zh_Hant: 頻道訪問令牌
type: string
required: true
default: ""
@@ -63,18 +27,12 @@ spec:
en_US: Channel secret
zh_Hans: 消息密钥
ja_JP: チャンネルシークレット
zh_Hant: 息密
th_TH: รหัสลับช่อง
vi_VN: Khóa bí mật kênh
es_ES: Secreto del canal
zh_Hant: 息密
description:
en_US: Only valid when webhook mode is enabled, please fill in the encrypt key
zh_Hans: 请填写加密密钥
ja_JP: Webhookモードが有効な場合にのみ、暗号化キーを入力してください
zh_Hant: 請填寫加密密
th_TH: กรุณากรอกคีย์เข้ารหัส
vi_VN: Vui lòng điền khóa mã hóa
es_ES: Por favor, introduzca la clave de cifrado
zh_Hant: 請填寫加密密
type: string
required: true
default: ""

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@@ -1,693 +0,0 @@
from __future__ import annotations
import typing
import asyncio
import traceback
import base64
import json
import nio
from langbot.pkg.utils import httpclient
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 MatrixMessageConverter(abstract_platform_adapter.AbstractMessageConverter):
@staticmethod
async def yiri2target(message_chain: platform_message.MessageChain, client: nio.AsyncClient) -> list[dict]:
components = []
for component in message_chain:
if isinstance(component, platform_message.Plain):
components.append({'type': 'text', 'text': component.text})
elif isinstance(component, platform_message.Image):
image_bytes = None
if component.base64:
b64_data = component.base64
if ';base64,' in b64_data:
b64_data = b64_data.split(';base64,', 1)[1]
image_bytes = base64.b64decode(b64_data)
elif component.url:
session = httpclient.get_session()
async with session.get(component.url) as response:
image_bytes = await response.read()
elif component.path:
with open(component.path, 'rb') as f:
image_bytes = f.read()
if image_bytes:
resp = await client.upload(image_bytes, content_type='image/png')
if isinstance(resp, nio.UploadResponse):
components.append({'type': 'image', 'mxc_url': resp.content_uri})
elif isinstance(component, platform_message.File):
file_bytes = None
if component.base64:
b64_data = component.base64
if ';base64,' in b64_data:
b64_data = b64_data.split(';base64,', 1)[1]
file_bytes = base64.b64decode(b64_data)
elif component.url:
session = httpclient.get_session()
async with session.get(component.url) as response:
file_bytes = await response.read()
elif component.path:
with open(component.path, 'rb') as f:
file_bytes = f.read()
if file_bytes:
file_name = getattr(component, 'name', None) or 'file'
resp = await client.upload(file_bytes, content_type='application/octet-stream', filename=file_name)
if isinstance(resp, nio.UploadResponse):
components.append(
{
'type': 'file',
'mxc_url': resp.content_uri,
'filename': file_name,
'size': len(file_bytes),
}
)
elif isinstance(component, platform_message.Forward):
for node in component.node_list:
components.extend(await MatrixMessageConverter.yiri2target(node.message_chain, client))
return components
@staticmethod
async def target2yiri(event: nio.RoomMessageText | nio.RoomMessageImage, client: nio.AsyncClient, bot_user_id: str):
message_components = []
if isinstance(event, nio.RoomMessageText):
text = event.body
if bot_user_id and bot_user_id in text:
message_components.append(platform_message.At(target=bot_user_id))
text = text.replace(bot_user_id, '').strip()
message_components.append(platform_message.Plain(text=text))
elif isinstance(event, nio.RoomMessageImage):
mxc_url = event.url
if mxc_url:
resp = await client.download(mxc_url)
if isinstance(resp, nio.DownloadResponse):
b64 = base64.b64encode(resp.body).decode('utf-8')
content_type = resp.content_type or 'image/png'
message_components.append(platform_message.Image(base64=f'data:{content_type};base64,{b64}'))
if event.body:
message_components.append(platform_message.Plain(text=event.body))
return platform_message.MessageChain(message_components)
class MatrixEventConverter(abstract_platform_adapter.AbstractEventConverter):
@staticmethod
async def yiri2target(event: platform_events.MessageEvent):
return event.source_platform_object
@staticmethod
async def target2yiri(
event: nio.RoomMessageText | nio.RoomMessageImage,
room: nio.MatrixRoom,
client: nio.AsyncClient,
bot_user_id: str,
bridge_user_ids: list[str] | None = None,
):
lb_message = await MatrixMessageConverter.target2yiri(event, client, bot_user_id)
# Determine if this is a direct/private chat or a group chat.
# Exclude bot itself and bridge bots, count remaining real users.
exclude_ids = {bot_user_id}
if bridge_user_ids:
exclude_ids.update(bridge_user_ids)
real_users = [uid for uid in room.users if uid not in exclude_ids]
is_direct = len(real_users) <= 1
if is_direct:
return platform_events.FriendMessage(
sender=platform_entities.Friend(
id=event.sender,
nickname=room.user_name(event.sender) or event.sender,
remark='',
),
message_chain=lb_message,
time=event.server_timestamp / 1000.0,
source_platform_object={'event': event, 'room': room},
)
else:
return platform_events.GroupMessage(
sender=platform_entities.GroupMember(
id=event.sender,
member_name=room.user_name(event.sender) or event.sender,
permission=platform_entities.Permission.Member,
group=platform_entities.Group(
id=room.room_id,
name=room.display_name or room.room_id,
permission=platform_entities.Permission.Member,
),
special_title='',
),
message_chain=lb_message,
time=event.server_timestamp / 1000.0,
source_platform_object={'event': event, 'room': room},
)
class BridgeState:
"""Per-bridge runtime state."""
def __init__(self, user_id: str, login_command: str, logout_command: str, success_keyword: str, check_command: str):
self.user_id = user_id
self.login_command = login_command
self.logout_command = logout_command
self.success_keyword = success_keyword
self.check_command = check_command or login_command
self.logged_in = False
self.dm_room_id: str | None = None
self.login_task: asyncio.Task | None = None
self.check_task: asyncio.Task | None = None
self.check_responded = False
class MatrixAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
client: typing.Any = None
message_converter: MatrixMessageConverter = MatrixMessageConverter()
event_converter: MatrixEventConverter = MatrixEventConverter()
config: dict
listeners: typing.Dict[typing.Type[platform_events.Event], typing.Callable] = {}
_running: bool = False
_initial_sync_done: bool = False
_bridges: list = []
def __init__(self, config: dict, logger: abstract_platform_logger.AbstractEventLogger):
homeserver_url = config.get('homeserver_url', '')
access_token = config.get('access_token', '')
user_id = config.get('user_id', '')
if not homeserver_url or not access_token or not user_id:
raise ValueError('Matrix 机器人缺少必要配置项 (homeserver_url, user_id, access_token)')
client = nio.AsyncClient(homeserver_url, user_id)
client.access_token = access_token
client.user_id = user_id
super().__init__(
config=config,
logger=logger,
bot_account_id=user_id,
client=client,
listeners={},
)
# Parse bridges config AFTER super().__init__() to avoid Pydantic resetting _bridges
self._bridges = []
bridges_raw = config.get('bridges', '')
if bridges_raw:
if isinstance(bridges_raw, str):
try:
bridges_list = json.loads(bridges_raw)
except (json.JSONDecodeError, TypeError) as e:
raise ValueError(f'bridges 配置 JSON 解析失败: {e}\n原始值: {bridges_raw}')
else:
bridges_list = bridges_raw
for b in bridges_list:
if isinstance(b, dict) and b.get('user_id', '').strip():
self._bridges.append(
BridgeState(
user_id=b['user_id'].strip(),
login_command=b.get('login_command', '').strip(),
logout_command=b.get('logout_command', '').strip(),
success_keyword=b.get('success_keyword', 'Successfully logged in').strip(),
check_command=b.get('check_command', '').strip(),
)
)
# Backward compatibility: old single-bridge config
if not self._bridges:
old_user_id = config.get('bridge_user_id', '').strip()
old_command = config.get('bridge_login_command', '').strip()
old_keyword = config.get('bridge_login_success_keyword', 'Successfully logged in').strip()
old_check = config.get('bridge_check_command', '').strip()
old_logout = config.get('bridge_logout_command', '').strip()
if old_user_id:
self._bridges.append(
BridgeState(
user_id=old_user_id,
login_command=old_command,
logout_command=old_logout,
success_keyword=old_keyword,
check_command=old_check,
)
)
async def send_message(self, target_type: str, target_id: str, message: platform_message.MessageChain):
components = await self.message_converter.yiri2target(message, self.client)
for component in components:
await self._send_component(target_id, component)
async def reply_message(
self,
message_source: platform_events.MessageEvent,
message: platform_message.MessageChain,
quote_origin: bool = False,
):
source_obj = message_source.source_platform_object
room_id = source_obj['room'].room_id
components = await self.message_converter.yiri2target(message, self.client)
for component in components:
if quote_origin:
original_event = source_obj['event']
await self._send_component(room_id, component, reply_to=original_event.event_id)
else:
await self._send_component(room_id, component)
async def _send_component(self, room_id: str, component: dict, reply_to: str | None = None):
content = {}
if component['type'] == 'text':
content = {
'msgtype': 'm.text',
'body': component['text'],
}
elif component['type'] == 'image':
content = {
'msgtype': 'm.image',
'body': 'image.png',
'url': component['mxc_url'],
}
elif component['type'] == 'file':
content = {
'msgtype': 'm.file',
'body': component.get('filename', 'file'),
'url': component['mxc_url'],
'info': {'size': component.get('size', 0)},
}
if reply_to and content:
content['m.relates_to'] = {
'm.in_reply_to': {'event_id': reply_to},
}
if content:
await self.client.room_send(
room_id=room_id,
message_type='m.room.message',
content=content,
)
def register_listener(
self,
event_type: typing.Type[platform_events.Event],
callback: typing.Callable[
[platform_events.Event, abstract_platform_adapter.AbstractMessagePlatformAdapter], None
],
):
self.listeners[event_type] = callback
async def run_async(self):
self._running = True
await self.logger.info('Matrix adapter starting...')
# Debug: log bridge parsing result
bridges_raw = self.config.get('bridges', '')
await self.logger.debug(f'bridges config raw: type={type(bridges_raw).__name__}, repr={repr(bridges_raw)}')
await self.logger.debug(
f'parsed _bridges count: {len(self._bridges)}, ids: {[b.user_id for b in self._bridges]}'
)
# Collect all bridge bot user IDs for filtering
_bridge_user_ids = [b.user_id for b in self._bridges]
_bridge_user_id_set = set(_bridge_user_ids)
# Auto-join invited rooms
async def on_invite(room: nio.MatrixRoom, event: nio.InviteMemberEvent):
if event.membership == 'invite' and event.state_key == self.client.user_id:
await self.client.join(room.room_id)
await self.logger.debug(f'Auto-joined room: {room.display_name or room.room_id}')
self.client.add_event_callback(on_invite, nio.InviteMemberEvent)
# Handle text messages
async def on_message(room: nio.MatrixRoom, event: nio.RoomMessageText):
if not self._initial_sync_done:
return
if event.sender == self.client.user_id:
return
# Admin commands (from any non-bridge user)
if event.sender not in _bridge_user_id_set:
body = (event.body or '').strip()
if body == '!relogin':
await self._handle_relogin_command(room.room_id)
return
if body == '!status':
await self._handle_status_command(room.room_id)
return
if event.sender in _bridge_user_id_set:
return
try:
lb_event = await self.event_converter.target2yiri(
event, room, self.client, self.bot_account_id, _bridge_user_ids
)
if type(lb_event) in self.listeners:
result = self.listeners[type(lb_event)](lb_event, self)
if asyncio.iscoroutine(result):
await result
except Exception:
await self.logger.error(f'Error handling Matrix message: {traceback.format_exc()}')
self.client.add_event_callback(on_message, nio.RoomMessageText)
# Handle image messages
async def on_image(room: nio.MatrixRoom, event: nio.RoomMessageImage):
if not self._initial_sync_done:
return
if event.sender == self.client.user_id:
return
if event.sender in _bridge_user_id_set:
return
try:
lb_event = await self.event_converter.target2yiri(
event, room, self.client, self.bot_account_id, _bridge_user_ids
)
if type(lb_event) in self.listeners:
result = self.listeners[type(lb_event)](lb_event, self)
if asyncio.iscoroutine(result):
await result
except Exception:
await self.logger.error(f'Error handling Matrix image: {traceback.format_exc()}')
self.client.add_event_callback(on_image, nio.RoomMessageImage)
# Set up bridge-specific callbacks for each bridge
_disconnect_keywords = ['disconnected', 'logged out', 'connection lost', 'session expired', 'token expired']
for bridge in self._bridges:
# Login success detection (notice)
async def on_bridge_notice(room: nio.MatrixRoom, event: nio.RoomMessageNotice, _b=bridge):
if not self._initial_sync_done:
return
if event.sender != _b.user_id:
return
_b.check_responded = True
if _b.success_keyword in (event.body or ''):
_b.logged_in = True
await self.logger.info(f'[{_b.user_id}] Bridge login succeeded.')
# Disconnect detection
body_lower = (event.body or '').lower()
for kw in _disconnect_keywords:
if kw in body_lower and _b.logged_in:
_b.logged_in = False
await self.logger.info(f'[{_b.user_id}] Bridge 账号掉线 (检测到: "{kw}"), 将自动重新登录...')
self._restart_bridge_login(_b)
break
self.client.add_event_callback(on_bridge_notice, nio.RoomMessageNotice)
# Login success + disconnect detection (text)
async def on_bridge_text(room: nio.MatrixRoom, event: nio.RoomMessageText, _b=bridge):
if not self._initial_sync_done:
return
if event.sender != _b.user_id:
return
_b.check_responded = True
if _b.success_keyword in (event.body or ''):
_b.logged_in = True
await self.logger.info(f'[{_b.user_id}] Bridge login succeeded.')
body_lower = (event.body or '').lower()
for kw in _disconnect_keywords:
if kw in body_lower and _b.logged_in:
_b.logged_in = False
await self.logger.info(f'[{_b.user_id}] Bridge 账号掉线 (检测到: "{kw}"), 将自动重新登录...')
self._restart_bridge_login(_b)
break
self.client.add_event_callback(on_bridge_text, nio.RoomMessageText)
# QR code image forwarding
async def on_bridge_image(room: nio.MatrixRoom, event: nio.RoomMessageImage, _b=bridge):
if not self._initial_sync_done:
return
if event.sender != _b.user_id:
return
mxc_url = event.url
if not mxc_url:
return
try:
resp = await self.client.download(mxc_url)
if isinstance(resp, nio.DownloadResponse):
b64 = base64.b64encode(resp.body).decode('utf-8')
content_type = resp.content_type or 'image/png'
await self.logger.info(
f'[{_b.user_id}] Bridge 发送了二维码,请扫码登录:',
images=[platform_message.Image(base64=f'data:{content_type};base64,{b64}')],
)
except Exception:
await self.logger.error(
f'[{_b.user_id}] Failed to download bridge QR image: {traceback.format_exc()}'
)
self.client.add_event_callback(on_bridge_image, nio.RoomMessageImage)
await self.logger.debug('Matrix adapter running, starting sync...')
# Initial sync to skip old messages
resp = await self.client.sync(timeout=10000)
if isinstance(resp, nio.SyncResponse):
await self.logger.debug(f'Matrix initial sync done, next_batch: {resp.next_batch}')
self._initial_sync_done = True
# Display account info
display_name = self.client.user_id
try:
profile_resp = await self.client.get_displayname(self.client.user_id)
if isinstance(profile_resp, nio.ProfileGetDisplayNameResponse) and profile_resp.displayname:
display_name = profile_resp.displayname
except Exception:
pass
joined_rooms = len(self.client.rooms)
homeserver = self.config.get('homeserver_url', '')
bridge_info = ''
if self._bridges:
bridge_names = ', '.join(b.user_id for b in self._bridges)
bridge_info = f' | 桥接: [{bridge_names}]'
await self.logger.info(
f'Matrix 账号: {display_name} ({self.client.user_id}) | '
f'服务器: {homeserver} | 已加入 {joined_rooms} 个房间{bridge_info}'
)
# Start bridge login and status check tasks for each bridge
for bridge in self._bridges:
if bridge.login_command:
await self.logger.info(
f'[{bridge.user_id}] Bridge login enabled (命令: "{bridge.login_command}", '
f'关键词: "{bridge.success_keyword}")'
)
bridge.login_task = asyncio.create_task(self._periodic_bridge_login(bridge))
bridge.check_task = asyncio.create_task(self._periodic_bridge_check(bridge))
else:
await self.logger.debug(f'[{bridge.user_id}] Bridge login not configured (no login_command)')
# Main sync loop
while self._running:
try:
await self.client.sync(timeout=30000)
except Exception:
await self.logger.error(f'Matrix sync error: {traceback.format_exc()}')
await asyncio.sleep(5)
async def _periodic_bridge_login(self, bridge: BridgeState):
"""Periodically send login command to a bridge bot until login succeeds."""
try:
await self.logger.info(f'[{bridge.user_id}] Bridge login task started, looking for DM room...')
dm_room_id = None
for room_id, room in self.client.rooms.items():
if room.member_count == 2 and bridge.user_id in [m for m in room.users]:
dm_room_id = room_id
break
if not dm_room_id:
resp = await self.client.room_create(
is_direct=True,
invite=[bridge.user_id],
)
if isinstance(resp, nio.RoomCreateResponse):
dm_room_id = resp.room_id
await self.logger.debug(f'[{bridge.user_id}] Created DM room: {dm_room_id}')
else:
await self.logger.error(f'[{bridge.user_id}] Failed to create DM room: {resp}')
return
bridge.dm_room_id = dm_room_id
# Force logout first on every adapter start
logout_cmd = bridge.logout_command or bridge.login_command.replace('login', 'logout')
await self.logger.info(f'[{bridge.user_id}] 强制登出: "{logout_cmd}"')
await self.client.room_send(
room_id=dm_room_id,
message_type='m.room.message',
content={'msgtype': 'm.text', 'body': logout_cmd},
)
await asyncio.sleep(3)
while self._running and not bridge.logged_in:
await self.logger.debug(f'[{bridge.user_id}] Sending "{bridge.login_command}" in room {dm_room_id}')
await self.client.room_send(
room_id=dm_room_id,
message_type='m.room.message',
content={'msgtype': 'm.text', 'body': bridge.login_command},
)
for _ in range(60):
if not self._running or bridge.logged_in:
break
await asyncio.sleep(1)
if bridge.logged_in:
await self.logger.debug(f'[{bridge.user_id}] Bridge login confirmed, periodic login stopped.')
except asyncio.CancelledError:
pass
except Exception:
await self.logger.error(f'[{bridge.user_id}] Bridge periodic login error: {traceback.format_exc()}')
def _restart_bridge_login(self, bridge: BridgeState):
"""Cancel existing login task and start a new one."""
if bridge.login_task and not bridge.login_task.done():
bridge.login_task.cancel()
bridge.login_task = asyncio.create_task(self._periodic_bridge_login(bridge))
async def _periodic_bridge_check(self, bridge: BridgeState):
"""Periodically check a bridge's login status."""
try:
while self._running and not bridge.logged_in:
await asyncio.sleep(5)
check_interval = 300 # 5 minutes
response_timeout = 30
await self.logger.debug(f'[{bridge.user_id}] Bridge status check started (interval: {check_interval}s)')
while self._running:
for _ in range(check_interval):
if not self._running:
return
await asyncio.sleep(1)
if not bridge.logged_in or not bridge.dm_room_id:
continue
try:
bridge.check_responded = False
await self.client.room_send(
room_id=bridge.dm_room_id,
message_type='m.room.message',
content={'msgtype': 'm.text', 'body': bridge.check_command},
)
await self.logger.debug(f'[{bridge.user_id}] Bridge status check: sent "{bridge.check_command}"')
for _ in range(response_timeout):
if bridge.check_responded or not self._running:
break
await asyncio.sleep(1)
if bridge.check_responded:
await self.logger.debug(f'[{bridge.user_id}] Bridge status check: OK')
else:
await self.logger.info(
f'[{bridge.user_id}] Bridge status check: 无响应, 可能已掉线, 尝试重新登录...'
)
bridge.logged_in = False
self._restart_bridge_login(bridge)
except Exception:
await self.logger.error(f'[{bridge.user_id}] Bridge status check error: {traceback.format_exc()}')
except asyncio.CancelledError:
pass
except Exception:
await self.logger.error(f'[{bridge.user_id}] Bridge status check fatal error: {traceback.format_exc()}')
async def _handle_relogin_command(self, room_id: str):
"""Handle !relogin command: logout then re-login all bridges."""
if not self._bridges:
await self.client.room_send(
room_id=room_id,
message_type='m.room.message',
content={'msgtype': 'm.text', 'body': '没有配置任何桥。'},
)
return
lines = ['开始重新登录所有桥...']
for bridge in self._bridges:
if not bridge.login_command or not bridge.dm_room_id:
lines.append(f'[{bridge.user_id}] 跳过未配置登录命令或无DM房间')
continue
# Use configured logout command, fallback to deriving from login command
logout_cmd = bridge.logout_command or bridge.login_command.replace('login', 'logout')
lines.append(f'[{bridge.user_id}] 发送 "{logout_cmd}"...')
# Cancel existing tasks
if bridge.login_task and not bridge.login_task.done():
bridge.login_task.cancel()
if bridge.check_task and not bridge.check_task.done():
bridge.check_task.cancel()
# Send logout
try:
await self.client.room_send(
room_id=bridge.dm_room_id,
message_type='m.room.message',
content={'msgtype': 'm.text', 'body': logout_cmd},
)
except Exception as e:
lines.append(f'[{bridge.user_id}] logout 发送失败: {e}')
await asyncio.sleep(2)
# Reset state and restart login
bridge.logged_in = False
self._restart_bridge_login(bridge)
lines.append(f'[{bridge.user_id}] 已触发重新登录')
await self.client.room_send(
room_id=room_id,
message_type='m.room.message',
content={'msgtype': 'm.text', 'body': '\n'.join(lines)},
)
async def _handle_status_command(self, room_id: str):
"""Handle !status command: show bridge states."""
if not self._bridges:
await self.client.room_send(
room_id=room_id,
message_type='m.room.message',
content={'msgtype': 'm.text', 'body': '没有配置任何桥。'},
)
return
lines = ['桥状态:']
for bridge in self._bridges:
status = '已登录 ✓' if bridge.logged_in else '未登录 ✗'
dm = bridge.dm_room_id or ''
lines.append(f'{bridge.user_id}: {status} (DM: {dm})')
await self.client.room_send(
room_id=room_id,
message_type='m.room.message',
content={'msgtype': 'm.text', 'body': '\n'.join(lines)},
)
async def kill(self) -> bool:
self._running = False
for bridge in self._bridges:
if bridge.login_task and not bridge.login_task.done():
bridge.login_task.cancel()
if bridge.check_task and not bridge.check_task.done():
bridge.check_task.cancel()
if self.client:
await self.client.close()
await self.logger.debug('Matrix adapter stopped')
return True
async def unregister_listener(
self,
event_type: typing.Type[platform_events.Event],
callback: typing.Callable[
[platform_events.Event, abstract_platform_adapter.AbstractMessagePlatformAdapter], None
],
):
if event_type in self.listeners:
del self.listeners[event_type]

View File

@@ -1,123 +0,0 @@
apiVersion: v1
kind: MessagePlatformAdapter
metadata:
name: matrix
label:
en_US: Matrix
zh_Hans: Matrix
zh_Hant: Matrix
ja_JP: Matrix
th_TH: Matrix
vi_VN: Matrix
es_ES: Matrix
description:
en_US: Matrix protocol adapter, supports self-hosted Synapse servers and any Matrix-compatible homeserver
zh_Hans: Matrix 协议适配器,支持自建 Synapse 服务器及任何 Matrix 兼容的 Homeserver
zh_Hant: Matrix 協議適配器,支持自建 Synapse 伺服器及任何 Matrix 相容的 Homeserver
ja_JP: Matrix プロトコルアダプター、セルフホストの Synapse サーバーおよび Matrix 互換のホームサーバーをサポート
th_TH: อะแดปเตอร์โปรโตคอล Matrix รองรับเซิร์ฟเวอร์ Synapse ที่โฮสต์เองและ Homeserver ที่เข้ากันได้กับ Matrix
vi_VN: Bộ điều hợp giao thức Matrix, hỗ trợ máy chủ Synapse tự lưu trữ và bất kỳ Homeserver tương thích Matrix nào
es_ES: Adaptador del protocolo Matrix, compatible con servidores Synapse autoalojados y cualquier Homeserver compatible con Matrix
icon: matrix.png
spec:
categories:
- global
- protocol
config:
- name: homeserver_url
label:
en_US: Homeserver URL
zh_Hans: Homeserver 地址
zh_Hant: Homeserver 地址
ja_JP: Homeserver URL
th_TH: URL ของ Homeserver
vi_VN: URL Homeserver
es_ES: URL del Homeserver
description:
en_US: "The URL of the Matrix homeserver, e.g. http://localhost:8008"
zh_Hans: "Matrix Homeserver 的地址,例如 http://localhost:8008"
type: string
required: true
default: "http://localhost:8008"
- name: user_id
label:
en_US: Bot User ID
zh_Hans: 机器人用户 ID
zh_Hant: 機器人用戶 ID
ja_JP: ボットユーザー ID
th_TH: ID ผู้ใช้บอท
vi_VN: ID người dùng bot
es_ES: ID de usuario del bot
description:
en_US: "The full Matrix user ID, e.g. @bot:localhost"
zh_Hans: "完整的 Matrix 用户 ID例如 @bot:localhost"
type: string
required: true
default: "@langbot:localhost"
- name: access_token
label:
en_US: Access Token
zh_Hans: 访问令牌
zh_Hant: 訪問令牌
ja_JP: アクセストークン
th_TH: โทเค็นการเข้าถึง
vi_VN: Mã truy cập
es_ES: Token de acceso
description:
en_US: "Access token obtained by logging in via the Matrix client API"
zh_Hans: "通过 Matrix Client API 登录获取的访问令牌"
type: string
required: true
default: ""
- name: bridge_user_id
label:
en_US: Bridge Bot User ID (single bridge, legacy)
zh_Hans: 桥机器人用户 ID单桥兼容
description:
en_US: "Single bridge bot user ID (legacy). Prefer 'bridges' for multi-bridge. e.g. @discordbot:localhost"
zh_Hans: "单桥机器人用户 ID旧格式兼容。推荐使用 bridges 配置多桥。例如 @discordbot:localhost"
type: string
required: false
default: ""
- name: bridge_login_command
label:
en_US: Bridge Login Command (single bridge, legacy)
zh_Hans: 桥登录命令(单桥兼容)
description:
en_US: "Login command for single bridge (legacy). e.g. !discord login"
zh_Hans: "单桥登录命令(旧格式兼容)。例如 !discord login"
type: string
required: false
default: ""
- name: bridge_login_success_keyword
label:
en_US: Bridge Login Success Keyword (single bridge, legacy)
zh_Hans: 桥登录成功关键词(单桥兼容)
description:
en_US: "Success keyword for single bridge (legacy). e.g. Successfully logged in"
zh_Hans: "单桥登录成功关键词(旧格式兼容)。例如 Successfully logged in"
type: string
required: false
default: "Successfully logged in"
- name: bridges
label:
en_US: Bridges Config (Multi-bridge)
zh_Hans: 桥配置(多桥)
description:
en_US: >
JSON array of bridge configs. Each bridge: {"user_id": "@bot:host", "login_command": "!xx login",
"success_keyword": "logged in", "check_command": "!xx ping"}.
Example: [{"user_id":"@discordbot:localhost","login_command":"!discord login","success_keyword":"logged in"},
{"user_id":"@telegrambot:localhost","login_command":"!tg login","success_keyword":"logged in"}]
zh_Hans: >
JSON 数组格式的多桥配置。每个桥: {"user_id": "@bot:host", "login_command": "!xx login",
"success_keyword": "logged in", "check_command": "!xx ping"}。
示例: [{"user_id":"@discordbot:localhost","login_command":"!discord login","success_keyword":"logged in"},
{"user_id":"@telegrambot:localhost","login_command":"!tg login","success_keyword":"logged in"}]
type: string
required: false
default: ""
execution:
python:
path: ./matrix.py
attr: MatrixAdapter

View File

@@ -5,44 +5,23 @@ metadata:
label:
en_US: Official Account
zh_Hans: 微信公众号
zh_Hant: 微信公眾號
description:
en_US: Official Account Adapter
zh_Hans: 微信公众号适配器,需要公网地址以接收消息推送,请查看文档了解使用方式
zh_Hant: 微信公眾號適配器,需要公網地址以接收訊息推送,請查看文件了解使用方式
zh_Hans: 微信公众号适配器,请查看文档了解使用方式
icon: officialaccount.png
spec:
categories:
- china
help_links:
zh: https://link.langbot.app/zh/platforms/officialaccount
en: https://link.langbot.app/en/platforms/officialaccount
ja: https://link.langbot.app/ja/platforms/officialaccount
config:
- name: webhook_url
label:
en_US: Webhook Callback URL
zh_Hans: Webhook 回调地址
zh_Hant: Webhook 回調地址
description:
en_US: Copy this URL and paste it into your Official Account webhook configuration
zh_Hans: 复制此地址并粘贴到微信公众号的 Webhook 配置中
zh_Hant: 複製此地址並貼到微信公眾號的 Webhook 設定中
type: webhook-url
required: false
default: ""
- name: token
label:
en_US: Token
zh_Hans: 令牌
zh_Hant: 令牌
type: string
required: true
default: ""
- name: EncodingAESKey
label:
en_US: EncodingAESKey
zh_Hans: 消息加解密密钥
zh_Hant: 訊息加解密密鑰
type: string
required: true
default: ""
@@ -50,7 +29,6 @@ spec:
label:
en_US: App ID
zh_Hans: 应用ID
zh_Hant: 應用ID
type: string
required: true
default: ""
@@ -58,7 +36,6 @@ spec:
label:
en_US: App Secret
zh_Hans: 应用密钥
zh_Hant: 應用密鑰
type: string
required: true
default: ""
@@ -66,7 +43,6 @@ spec:
label:
en_US: Mode
zh_Hans: 接入模式
zh_Hant: 接入模式
type: string
required: true
default: "drop"
@@ -74,7 +50,6 @@ spec:
label:
en_US: Loading Message
zh_Hans: 加载消息
zh_Hant: 載入訊息
type: string
required: true
default: "AI正在思考中请发送任意内容获取回复。"
@@ -82,11 +57,9 @@ spec:
label:
en_US: API Base URL
zh_Hans: API 基础 URL
zh_Hant: API 基礎 URL
description:
en_US: API Base URL, used for accessing the Official Account API. If you are deploying in an internal network environment and accessing the Official Account API through a reverse proxy, please fill in this item according to the documentation.
zh_Hans: 可选,若您部署在内网环境并通过反向代理访问微信公众号 API可根据文档修改此项
zh_Hant: 可選,若您部署在內網環境並透過反向代理存取微信公眾號 API可根據文件修改此項
type: string
required: false
default: "https://api.weixin.qq.com"

View File

@@ -1,577 +0,0 @@
"""OpenClaw WeChat adapter for LangBot.
Uses the OpenClaw WeChat HTTP JSON API (long-poll getUpdates + sendMessage)
to integrate personal WeChat accounts with LangBot.
Reference: https://github.com/epiral/weixin-bot
"""
from __future__ import annotations
import asyncio
import base64
import traceback
import typing
import pydantic
import sqlalchemy
from langbot.libs.openclaw_weixin_api.client import (
DEFAULT_BASE_URL,
SESSION_EXPIRED_ERRCODE,
OpenClawWeixinClient,
)
from langbot.libs.openclaw_weixin_api.types import (
MessageItem,
WeixinMessage,
)
from langbot.pkg.entity.persistence import bot as persistence_bot
import langbot_plugin.api.definition.abstract.platform.adapter as abstract_platform_adapter
import langbot_plugin.api.definition.abstract.platform.event_logger as abstract_platform_logger
import langbot_plugin.api.entities.builtin.platform.entities as platform_entities
import langbot_plugin.api.entities.builtin.platform.events as platform_events
import langbot_plugin.api.entities.builtin.platform.message as platform_message
class OpenClawWeixinMessageConverter(abstract_platform_adapter.AbstractMessageConverter):
"""Converts between LangBot MessageChain and OpenClaw WeChat message items."""
@staticmethod
async def yiri2target(message_chain: platform_message.MessageChain) -> list[dict]:
"""Convert LangBot MessageChain to a list of OpenClaw message item dicts."""
items = []
for component in message_chain:
if isinstance(component, platform_message.Plain):
items.append({'type': MessageItem.TEXT, 'text_item': {'text': component.text}})
elif isinstance(component, platform_message.Image):
# OpenClaw WeChat only supports text messages without CDN upload.
# For images, we send a placeholder text with the URL if available.
if component.url:
items.append(
{
'type': MessageItem.TEXT,
'text_item': {'text': f'[Image: {component.url}]'},
}
)
elif component.base64:
items.append(
{
'type': MessageItem.TEXT,
'text_item': {'text': '[Image]'},
}
)
elif isinstance(component, platform_message.File):
if component.name:
items.append(
{
'type': MessageItem.TEXT,
'text_item': {'text': f'[File: {component.name}]'},
}
)
elif isinstance(component, platform_message.Forward):
for node in component.node_list:
if node.message_chain:
items.extend(await OpenClawWeixinMessageConverter.yiri2target(node.message_chain))
return items
@staticmethod
async def target2yiri(
msg: WeixinMessage,
) -> platform_message.MessageChain:
"""Convert an OpenClaw WeixinMessage to LangBot MessageChain."""
components: list[platform_message.MessageComponent] = []
if not msg.item_list:
return platform_message.MessageChain(components)
for item in msg.item_list:
if item.type == MessageItem.TEXT and item.text_item and item.text_item.text:
text = item.text_item.text
# Handle quoted messages
if item.ref_msg:
ref_parts = []
if item.ref_msg.title:
ref_parts.append(item.ref_msg.title)
if item.ref_msg.message_item:
ref_item = item.ref_msg.message_item
if ref_item.text_item and ref_item.text_item.text:
ref_parts.append(ref_item.text_item.text)
if ref_parts:
components.append(
platform_message.Quote(
sender_id='',
origin=platform_message.MessageChain(
[platform_message.Plain(text=' | '.join(ref_parts))]
),
)
)
components.append(platform_message.Plain(text=text))
elif item.type == MessageItem.IMAGE and item.image_item:
if hasattr(item.image_item, '_downloaded_bytes') and item.image_item._downloaded_bytes:
b64 = base64.b64encode(item.image_item._downloaded_bytes).decode('utf-8')
components.append(platform_message.Image(base64=f'data:image/jpeg;base64,{b64}'))
else:
components.append(platform_message.Unknown(text='[Image]'))
elif item.type == MessageItem.VOICE and item.voice_item:
# Voice with speech-to-text: use the transcribed text
if item.voice_item.text:
components.append(platform_message.Plain(text=item.voice_item.text))
else:
components.append(platform_message.Unknown(text='[Voice]'))
# TODO: enable after full testing
# elif item.type == MessageItem.VOICE and item.voice_item:
# if item.voice_item.text:
# components.append(platform_message.Plain(text=item.voice_item.text))
# elif hasattr(item.voice_item, '_downloaded_bytes') and item.voice_item._downloaded_bytes:
# b64 = base64.b64encode(item.voice_item._downloaded_bytes).decode('utf-8')
# components.append(
# platform_message.Voice(
# base64=b64,
# length=item.voice_item.playtime or 0,
# )
# )
# else:
# components.append(
# platform_message.Voice(
# length=item.voice_item.playtime or 0,
# )
# )
elif item.type == MessageItem.FILE and item.file_item:
components.append(platform_message.Unknown(text=f'[File: {item.file_item.file_name or ""}]'))
# TODO: enable after full testing
# elif item.type == MessageItem.FILE and item.file_item:
# file_name = item.file_item.file_name or ''
# file_size = int(item.file_item.len) if item.file_item.len else 0
# if hasattr(item.file_item, '_downloaded_bytes') and item.file_item._downloaded_bytes:
# b64 = base64.b64encode(item.file_item._downloaded_bytes).decode('utf-8')
# components.append(
# platform_message.File(
# name=file_name,
# size=file_size,
# base64=b64,
# )
# )
# else:
# components.append(
# platform_message.File(
# name=file_name,
# size=file_size,
# )
# )
elif item.type == MessageItem.VIDEO and item.video_item:
components.append(platform_message.Unknown(text='[Video]'))
# TODO: enable after full testing
# elif item.type == MessageItem.VIDEO and item.video_item:
# if hasattr(item.video_item, '_downloaded_bytes') and item.video_item._downloaded_bytes:
# b64 = base64.b64encode(item.video_item._downloaded_bytes).decode('utf-8')
# components.append(
# platform_message.File(
# name='video.mp4',
# size=item.video_item.video_size or 0,
# base64=b64,
# )
# )
# else:
# components.append(
# platform_message.File(
# name='video.mp4',
# size=item.video_item.video_size or 0,
# )
# )
else:
components.append(platform_message.Unknown(text='[Unknown message type]'))
return platform_message.MessageChain(components)
class OpenClawWeixinEventConverter(abstract_platform_adapter.AbstractEventConverter):
"""Converts OpenClaw WeChat messages to LangBot events."""
@staticmethod
async def yiri2target(event: platform_events.MessageEvent) -> dict:
return event.source_platform_object
@staticmethod
async def target2yiri(msg: WeixinMessage) -> typing.Optional[platform_events.MessageEvent]:
"""Convert an inbound WeixinMessage to a LangBot event."""
if msg.message_type != WeixinMessage.TYPE_USER:
return None
from_user_id = msg.from_user_id or ''
if not from_user_id:
return None
message_chain = await OpenClawWeixinMessageConverter.target2yiri(msg)
if not message_chain:
return None
timestamp = (msg.create_time_ms or 0) / 1000.0
return platform_events.FriendMessage(
sender=platform_entities.Friend(
id=from_user_id,
nickname=from_user_id,
remark='',
),
message_chain=message_chain,
time=timestamp,
source_platform_object=msg,
)
class OpenClawWeixinAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
"""LangBot adapter for OpenClaw WeChat (long-poll based)."""
name: str = 'openclaw-weixin'
client: OpenClawWeixinClient = pydantic.Field(exclude=True)
config: dict
message_converter: OpenClawWeixinMessageConverter = OpenClawWeixinMessageConverter()
event_converter: OpenClawWeixinEventConverter = OpenClawWeixinEventConverter()
# context_token cache: from_user_id -> context_token
_context_tokens: dict[str, str] = pydantic.PrivateAttr(default_factory=dict)
_polling: bool = pydantic.PrivateAttr(default=False)
_poll_task: typing.Optional[asyncio.Task] = pydantic.PrivateAttr(default=None)
_bot_uuid: typing.Optional[str] = pydantic.PrivateAttr(default=None)
listeners: typing.Dict[
typing.Type[platform_events.Event],
typing.Callable[[platform_events.Event, abstract_platform_adapter.AbstractMessagePlatformAdapter], None],
] = {}
def __init__(self, config: dict, logger: abstract_platform_logger.AbstractEventLogger):
client = OpenClawWeixinClient(
base_url=config.get('base_url', DEFAULT_BASE_URL),
token=config.get('token', ''),
)
super().__init__(
config=config,
logger=logger,
client=client,
bot_account_id='',
listeners={},
name='openclaw-weixin',
)
def set_bot_uuid(self, bot_uuid: str):
"""Called by BotManager to provide the bot's UUID for config persistence."""
self._bot_uuid = bot_uuid
async def _persist_config(self) -> None:
"""Persist current self.config to the database so token survives restart."""
if not self._bot_uuid:
return
try:
ap = self.logger.ap
await ap.persistence_mgr.execute_async(
sqlalchemy.update(persistence_bot.Bot)
.where(persistence_bot.Bot.uuid == self._bot_uuid)
.values(adapter_config=self.config)
)
except Exception as e:
await self.logger.warning(f'Failed to persist adapter config: {e}')
async def _do_login(self) -> None:
"""Run the QR code login flow via client.login() and update config."""
adapter_logger = self.logger
async def _on_qrcode(qr_base64: str, _qr_url: str):
await adapter_logger.info(
f'Please scan the QR code to login WeChat: {_qr_url}',
images=[platform_message.Image(base64=qr_base64)],
)
login_result = await self.client.login(
on_qrcode=_on_qrcode,
)
# client.login() already updates client.token and client.base_url
self.config['token'] = login_result.token
self.config['base_url'] = login_result.base_url
if login_result.account_id:
self.config['account_id'] = login_result.account_id
await self.logger.info(f'WeChat login successful! account_id={login_result.account_id}')
# Persist token to database so it survives restart
await self._persist_config()
async def send_message(
self,
target_type: str,
target_id: str,
message: platform_message.MessageChain,
):
"""Send a message to a user."""
context_token = self._context_tokens.get(target_id, '')
for component in message:
try:
if isinstance(component, platform_message.Plain):
if component.text:
await self.client.send_text(target_id, component.text, context_token)
elif isinstance(component, platform_message.Image):
img_bytes, _ = await component.get_bytes()
await self.client.send_image(target_id, img_bytes, context_token)
elif isinstance(component, platform_message.File):
file_bytes = await self._get_component_bytes(component)
if file_bytes:
await self.client.send_file(target_id, file_bytes, component.name or 'file', context_token)
elif isinstance(component, platform_message.Voice):
voice_bytes = await self._get_component_bytes(component)
if voice_bytes:
await self.client.send_voice(target_id, voice_bytes, component.length or 0, context_token)
elif isinstance(component, platform_message.Forward):
for node in component.node_list:
if node.message_chain:
await self.send_message(target_type, target_id, node.message_chain)
except Exception:
await self.logger.error(
f'Failed to send component {type(component).__name__}: {traceback.format_exc()}'
)
async def reply_message(
self,
message_source: platform_events.MessageEvent,
message: platform_message.MessageChain,
quote_origin: bool = False,
):
"""Reply to a received message."""
source_msg = message_source.source_platform_object
if isinstance(source_msg, WeixinMessage):
target_id = source_msg.from_user_id or ''
if target_id:
await self.send_message('friend', target_id, message)
async def is_muted(self, group_id: int) -> bool:
return False
@staticmethod
async def _get_component_bytes(component: platform_message.MessageComponent) -> typing.Optional[bytes]:
"""Extract raw bytes from a File or Voice component."""
b64_val = getattr(component, 'base64', None)
url_val = getattr(component, 'url', None)
path_val = getattr(component, 'path', None)
if b64_val:
return base64.b64decode(b64_val)
elif url_val and url_val.startswith(('http://', 'https://')):
import aiohttp
async with aiohttp.ClientSession() as session:
async with session.get(url_val) as resp:
if resp.status == 200:
return await resp.read()
elif path_val:
import asyncio
with open(path_val, 'rb') as f:
return await asyncio.to_thread(f.read)
return None
def register_listener(
self,
event_type: typing.Type[platform_events.Event],
callback: typing.Callable[
[platform_events.Event, abstract_platform_adapter.AbstractMessagePlatformAdapter],
None,
],
):
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,
],
):
self.listeners.pop(event_type, None)
async def run_async(self):
"""Start the adapter. If no token is configured, trigger QR code login first."""
base_url = self.config.get('base_url', DEFAULT_BASE_URL)
token = self.config.get('token', '')
await self.logger.info('OpenClaw WeChat adapter starting...')
# QR code login flow when no token is provided
if not token:
await self.logger.info('No token configured, starting QR code login...')
try:
await self._do_login()
except Exception as e:
await self.logger.error(f'QR code login failed: {e}')
raise
# Rebuild client with the (possibly updated) config
self.client = OpenClawWeixinClient(
base_url=self.config.get('base_url', base_url),
token=self.config.get('token', token),
)
self.bot_account_id = self.config.get('account_id', 'openclaw-weixin')
self._polling = True
# Start the long-poll loop
self._poll_task = asyncio.create_task(self._poll_loop())
await self.logger.info('OpenClaw WeChat adapter running')
try:
await self._poll_task
except asyncio.CancelledError:
pass
async def _poll_loop(self):
"""Long-poll loop: call getUpdates continuously.
Error handling follows the weixin-bot SDK pattern:
- Exponential backoff (1s -> 10s max) on failures
- Session expired (errcode -14) triggers automatic re-login
"""
get_updates_buf = ''
poll_timeout = float(self.config.get('poll_timeout', 35))
backoff_delay = 1.0
max_backoff = 10.0
while self._polling:
try:
resp = await self.client.get_updates(
get_updates_buf=get_updates_buf,
timeout=poll_timeout + 5,
)
if resp.longpolling_timeout_ms and resp.longpolling_timeout_ms > 0:
poll_timeout = resp.longpolling_timeout_ms / 1000.0
is_api_error = (resp.ret is not None and resp.ret != 0) or (
resp.errcode is not None and resp.errcode != 0
)
if is_api_error:
is_session_expired = resp.errcode == SESSION_EXPIRED_ERRCODE or resp.ret == SESSION_EXPIRED_ERRCODE
if is_session_expired:
await self.logger.error('OpenClaw WeChat session expired, attempting re-login...')
try:
await self._do_login()
# Rebuild client with new credentials
self.client = OpenClawWeixinClient(
base_url=self.config.get('base_url', DEFAULT_BASE_URL),
token=self.config.get('token', ''),
)
self._context_tokens.clear()
get_updates_buf = ''
backoff_delay = 1.0
continue
except Exception:
await self.logger.error(f'Re-login failed: {traceback.format_exc()}')
break
await self.logger.error(
f'OpenClaw getUpdates failed: ret={resp.ret} errcode={resp.errcode} errmsg={resp.errmsg}'
)
await asyncio.sleep(backoff_delay)
backoff_delay = min(backoff_delay * 2, max_backoff)
continue
backoff_delay = 1.0
if resp.get_updates_buf:
get_updates_buf = resp.get_updates_buf
for msg in resp.msgs:
try:
await self._handle_inbound_message(msg)
except Exception:
await self.logger.error(f'Error handling message: {traceback.format_exc()}')
except asyncio.CancelledError:
break
except Exception:
await self.logger.error(f'OpenClaw poll error: {traceback.format_exc()}')
await asyncio.sleep(backoff_delay)
backoff_delay = min(backoff_delay * 2, max_backoff)
async def _handle_inbound_message(self, msg: WeixinMessage):
"""Process a single inbound message from getUpdates."""
if msg.context_token and msg.from_user_id:
self._context_tokens[msg.from_user_id] = msg.context_token
# Download CDN media (files, images) before converting to LangBot events
await self._download_media_items(msg)
event = await OpenClawWeixinEventConverter.target2yiri(msg)
if event is None:
return
if type(event) in self.listeners:
await self.listeners[type(event)](event, self)
async def _download_media_items(self, msg: WeixinMessage):
"""Download CDN media for image items in the message."""
if not msg.item_list:
return
for item in msg.item_list:
try:
if item.type == MessageItem.IMAGE and item.image_item:
if (
item.image_item.media
and item.image_item.media.encrypt_query_param
and item.image_item.media.aes_key
):
img_bytes = await self.client.download_media(item.image_item.media)
item.image_item._downloaded_bytes = img_bytes
# TODO: enable after full testing
# elif item.type == MessageItem.FILE and item.file_item and item.file_item.media:
# if item.file_item.media.encrypt_query_param and item.file_item.media.aes_key:
# file_bytes = await self.client.download_media(item.file_item.media)
# item.file_item._downloaded_bytes = file_bytes
#
# elif item.type == MessageItem.VOICE and item.voice_item and item.voice_item.media:
# if item.voice_item.media.encrypt_query_param and item.voice_item.media.aes_key:
# voice_bytes = await self.client.download_media(item.voice_item.media)
# item.voice_item._downloaded_bytes = voice_bytes
#
# elif item.type == MessageItem.VIDEO and item.video_item and item.video_item.media:
# if item.video_item.media.encrypt_query_param and item.video_item.media.aes_key:
# video_bytes = await self.client.download_media(item.video_item.media)
# item.video_item._downloaded_bytes = video_bytes
except Exception:
await self.logger.warning(f'Failed to download CDN media: {traceback.format_exc()}')
async def kill(self) -> bool:
"""Stop the adapter."""
self._polling = False
if self._poll_task and not self._poll_task.done():
self._poll_task.cancel()
try:
await self._poll_task
except asyncio.CancelledError:
pass
await self.client.close()
await self.logger.info('OpenClaw WeChat adapter stopped')
return True

View File

@@ -1,88 +0,0 @@
apiVersion: v1
kind: MessagePlatformAdapter
metadata:
name: openclaw-weixin
label:
en_US: OpenClaw WeChat
zh_Hans: 个人微信机器人
zh_Hant: 個人微信機器人
description:
en_US: OpenClaw WeChat adapter, supports personal WeChat via QR code login
zh_Hans: 微信官方个人助手,扫码即可登录使用
zh_Hant: 微信官方個人助手,掃碼即可登入使用
icon: wechat.png
spec:
categories:
- popular
- china
help_links:
zh: https://link.langbot.app/zh/platforms/openclaw_weixin
en: https://link.langbot.app/en/platforms/openclaw_weixin
ja: https://link.langbot.app/ja/platforms/openclaw_weixin
config:
- name: base_url
label:
en_US: API Base URL
zh_Hans: API 基础地址
zh_Hant: API 基礎地址
description:
en_US: The base URL of the OpenClaw WeChat backend API
zh_Hans: OpenClaw 微信后端 API 的基础地址
zh_Hant: OpenClaw 微信後端 API 的基礎地址
type: string
required: true
default: "https://ilinkai.weixin.qq.com"
- name: qr-login
label:
en_US: Scan QR Login
zh_Hans: 扫码登录
zh_Hant: 掃碼登入
ja_JP: QRコードでログイン
description:
en_US: Scan QR code with WeChat to authorize and automatically fill in the token
zh_Hans: 使用微信扫码授权,自动填写令牌
zh_Hant: 使用微信掃碼授權,自動填寫令牌
ja_JP: WeChatでQRコードをスキャンし、トークンを自動入力
type: qr-code-login
login_platform: weixin
required: false
- name: token
label:
en_US: Token
zh_Hans: 令牌
zh_Hant: 令牌
description:
en_US: Bearer token obtained after QR code login authorization. Leave empty to trigger QR code login on startup.
zh_Hans: 扫码登录授权后获取的 Bearer 令牌。请留空并保存,将在启动时输出二维码到日志,扫码后即可自动登录。
zh_Hant: 掃碼登入授權後取得的 Bearer 令牌。請留空並儲存,將在啟動時輸出 QR Code 到日誌,掃碼後即可自動登入。
type: string
required: false
default: ""
- name: account_id
label:
en_US: Account ID
zh_Hans: 账号标识
zh_Hant: 帳號標識
description:
en_US: A label for this WeChat account (used for display purposes)
zh_Hans: 此微信账号的标识(用于显示)
zh_Hant: 此微信帳號的標識(用於顯示)
type: string
required: false
default: "openclaw-weixin"
- name: poll_timeout
label:
en_US: Poll Timeout (seconds)
zh_Hans: 轮询超时(秒)
zh_Hant: 輪詢逾時(秒)
description:
en_US: Long-poll timeout for getUpdates, the server may hold the request up to this duration
zh_Hans: getUpdates 长轮询超时时间,服务端最多持有请求的时长
zh_Hant: getUpdates 長輪詢逾時時間,伺服端最多持有請求的時長
type: integer
required: false
default: 35
execution:
python:
path: ./openclaw_weixin.py
attr: OpenClawWeixinAdapter

View File

@@ -1,11 +1,9 @@
from __future__ import annotations
import typing
import re
import asyncio
import traceback
import datetime
import time
import langbot_plugin.api.definition.abstract.platform.adapter as abstract_platform_adapter
import langbot_plugin.api.entities.builtin.platform.message as platform_message
@@ -17,25 +15,11 @@ from ...utils import image
from ..logger import EventLogger
def _is_base64_data(value: str) -> bool:
"""Check if a string contains base64-encoded data rather than a URL."""
if not value:
return False
# data: URI scheme (e.g. data:image/png;base64,xxx)
if value.startswith('data:'):
return True
# Only treat as base64 if it doesn't look like a URL/path and has valid base64 chars
if value.startswith(('http://', 'https://', '/', './', '../')):
return False
# Check if it looks like base64 (only valid chars, reasonable length)
return bool(re.fullmatch(r'[A-Za-z0-9+/=\s]{20,}', value))
class QQOfficialMessageConverter(abstract_platform_adapter.AbstractMessageConverter):
@staticmethod
async def yiri2target(message_chain: platform_message.MessageChain):
"""将 LangBot 消息链转换为 QQ Official 消息格式列表。"""
content_list = []
# 只实现了发文字
for msg in message_chain:
if type(msg) is platform_message.Plain:
content_list.append(
@@ -44,49 +28,6 @@ class QQOfficialMessageConverter(abstract_platform_adapter.AbstractMessageConver
'content': msg.text,
}
)
elif type(msg) is platform_message.Image:
url = msg.url if hasattr(msg, 'url') and msg.url else None
b64 = msg.base64 if hasattr(msg, 'base64') and msg.base64 else None
# Some plugins (e.g. MimoTTS) store base64 data in the url field
if url and not b64 and _is_base64_data(url):
b64 = url
url = None
content_list.append(
{
'type': 'image',
'url': url,
'base64': b64,
}
)
elif type(msg) is platform_message.Voice:
url = msg.url if hasattr(msg, 'url') and msg.url else None
b64 = msg.base64 if hasattr(msg, 'base64') and msg.base64 else None
# Some plugins (e.g. MimoTTS) store base64 data in the url field
if url and not b64 and _is_base64_data(url):
b64 = url
url = None
content_list.append(
{
'type': 'voice',
'url': url,
'base64': b64,
}
)
elif type(msg) is platform_message.File:
url = msg.url if hasattr(msg, 'url') and msg.url else None
b64 = msg.base64 if hasattr(msg, 'base64') and msg.base64 else None
# Some plugins store base64 data in the url field
if url and not b64 and _is_base64_data(url):
b64 = url
url = None
content_list.append(
{
'type': 'file',
'url': url,
'base64': b64,
'name': msg.name if hasattr(msg, 'name') else 'file',
}
)
return content_list
@@ -188,19 +129,12 @@ class QQOfficialAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter
config: dict
bot_account_id: str
bot_uuid: str = None
enable_webhook: bool = False
message_converter: QQOfficialMessageConverter = QQOfficialMessageConverter()
event_converter: QQOfficialEventConverter = QQOfficialEventConverter()
def __init__(self, config: dict, logger: EventLogger):
enable_webhook = config.get('enable-webhook', False)
bot = QQOfficialClient(
app_id=config['appid'],
secret=config['secret'],
token=config['token'],
logger=logger,
unified_mode=enable_webhook,
app_id=config['appid'], secret=config['secret'], token=config['token'], logger=logger, unified_mode=True
)
super().__init__(
@@ -210,13 +144,6 @@ class QQOfficialAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter
bot_account_id=config['appid'],
)
self.enable_webhook = enable_webhook
self._ws_task: asyncio.Task = None
self._stream_ctx: dict = {}
self._stream_ctx_ts: dict[str, float] = {}
self._fallback_text: dict[str, str] = {}
self._fallback_text_ts: dict[str, float] = {}
async def reply_message(
self,
message_source: platform_events.MessageEvent,
@@ -229,18 +156,28 @@ class QQOfficialAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter
content_list = await QQOfficialMessageConverter.yiri2target(message)
# 确定 target_type 和 target_id
target_type = None
target_id = None
# 私聊消息
if qq_official_event.t == 'C2C_MESSAGE_CREATE':
target_type = 'c2c'
target_id = qq_official_event.user_openid
elif qq_official_event.t == 'GROUP_AT_MESSAGE_CREATE':
target_type = 'group'
target_id = qq_official_event.group_openid
elif qq_official_event.t == 'AT_MESSAGE_CREATE':
# 频道群聊使用频道 API暂不支持富媒体
for content in content_list:
if content['type'] == 'text':
await self.bot.send_private_text_msg(
qq_official_event.user_openid,
content['content'],
qq_official_event.d_id,
)
# 群聊消息
if qq_official_event.t == 'GROUP_AT_MESSAGE_CREATE':
for content in content_list:
if content['type'] == 'text':
await self.bot.send_group_text_msg(
qq_official_event.group_openid,
content['content'],
qq_official_event.d_id,
)
# 频道群聊
if qq_official_event.t == 'AT_MESSAGE_CREATE':
for content in content_list:
if content['type'] == 'text':
await self.bot.send_channle_group_text_msg(
@@ -248,9 +185,9 @@ class QQOfficialAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter
content['content'],
qq_official_event.d_id,
)
return
elif qq_official_event.t == 'DIRECT_MESSAGE_CREATE':
# 频道私聊使用频道 API暂不支持富媒体
# 频道私聊
if qq_official_event.t == 'DIRECT_MESSAGE_CREATE':
for content in content_list:
if content['type'] == 'text':
await self.bot.send_channle_private_text_msg(
@@ -258,63 +195,6 @@ class QQOfficialAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter
content['content'],
qq_official_event.d_id,
)
return
# C2C 和群聊:支持文字 + 富媒体
for content in content_list:
content_type = content.get('type', 'text')
if content_type == 'text':
if target_type == 'c2c':
await self.bot.send_private_text_msg(
target_id,
content['content'],
qq_official_event.d_id,
)
elif target_type == 'group':
await self.bot.send_group_text_msg(
target_id,
content['content'],
qq_official_event.d_id,
)
elif content_type == 'image':
file_url = content.get('url')
file_data = content.get('base64')
if file_url or file_data:
await self.bot.send_image_msg(
target_type,
target_id,
file_url=file_url,
file_data=file_data,
msg_id=qq_official_event.d_id,
)
elif content_type == 'voice':
file_url = content.get('url')
file_data = content.get('base64')
if file_url or file_data:
await self.bot.send_voice_msg(
target_type,
target_id,
file_url=file_url,
file_data=file_data,
msg_id=qq_official_event.d_id,
)
elif content_type == 'file':
file_url = content.get('url')
file_data = content.get('base64')
file_name = content.get('name', 'file')
if file_url or file_data:
await self.bot.send_file_msg(
target_type,
target_id,
file_url=file_url,
file_data=file_data,
file_name=file_name,
msg_id=qq_official_event.d_id,
)
async def send_message(self, target_type: str, target_id: str, message: platform_message.MessageChain):
pass
@@ -358,196 +238,17 @@ class QQOfficialAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter
return await self.bot.handle_unified_webhook(request)
async def run_async(self):
if not self.enable_webhook:
await self._run_websocket()
else:
# 统一 webhook 模式下,不启动独立的 Quart 应用
async def keep_alive():
while True:
await asyncio.sleep(1)
# 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
await keep_alive()
async def keep_alive():
while True:
await asyncio.sleep(1)
async def _run_websocket(self):
"""以 WebSocket 模式运行网关连接"""
await self.logger.info('QQ Official adapter starting in WebSocket mode')
async def on_ready():
await self.logger.info('QQ Official WebSocket connected and ready')
async def on_event(event_type: str, event_data: dict):
# 只处理消息事件,忽略 READY/RESUMED 等系统事件
message_event_types = {
'C2C_MESSAGE_CREATE',
'DIRECT_MESSAGE_CREATE',
'GROUP_AT_MESSAGE_CREATE',
'AT_MESSAGE_CREATE',
}
if event_type not in message_event_types:
return
if not isinstance(event_data, dict):
await self.logger.warning(f'Event data is not dict, skipping: {event_type} -> {type(event_data)}')
return
await self.logger.info(f'Processing message event: {event_type}')
# 构造与 webhook 模式相同的 payload 结构
payload = {'t': event_type, 'd': event_data}
message_data = await self.bot.get_message(payload)
if message_data:
event = QQOfficialEvent.from_payload(message_data)
await self.bot._handle_message(event)
async def on_error(error: Exception):
await self.logger.error(f'WebSocket error: {error}')
await self.logger.error(f'QQ Official WebSocket error: {error}')
self._ws_task = asyncio.create_task(self.bot.connect_gateway_loop(on_event, on_ready, on_error))
try:
await self._ws_task
except asyncio.CancelledError:
pass
await keep_alive()
async def kill(self) -> bool:
if self._ws_task:
self._ws_task.cancel()
try:
await self._ws_task
except asyncio.CancelledError:
pass
self._ws_task = None
return True
# --------------- 流式输出 ---------------
_STREAM_CTX_TTL = 300 # seconds
async def _cleanup_stale_streams(self):
"""Remove stream contexts that have not been updated for more than _STREAM_CTX_TTL seconds."""
now = time.time()
stale_ids = [mid for mid, ts in self._stream_ctx_ts.items() if now - ts > self._STREAM_CTX_TTL]
for mid in stale_ids:
self._stream_ctx.pop(mid, None)
self._stream_ctx_ts.pop(mid, None)
stale_fb = [mid for mid, ts in self._fallback_text_ts.items() if now - ts > self._STREAM_CTX_TTL]
for mid in stale_fb:
self._fallback_text.pop(mid, None)
self._fallback_text_ts.pop(mid, None)
if stale_ids or stale_fb:
await self.logger.debug(f'Cleaned up {len(stale_ids)} stream contexts, {len(stale_fb)} fallback texts')
async def is_stream_output_supported(self) -> bool:
return self.config.get('enable-stream-reply', False)
async def create_message_card(self, message_id: str, event: platform_events.MessageEvent) -> bool:
source = event.source_platform_object
# Streaming API only supports C2C private chat
if source.t != 'C2C_MESSAGE_CREATE':
return False
ctx = {
'user_openid': source.user_openid,
'msg_id': source.d_id,
'stream_msg_id': None,
'msg_seq': 1,
'index': 0,
'last_update_ts': 0,
'accumulated_text': '',
'sent_length': 0,
'session_started': False,
}
self._stream_ctx[message_id] = ctx
self._stream_ctx_ts[message_id] = time.time()
return True
async def reply_message_chunk(
self,
message_source: platform_events.MessageEvent,
bot_message: dict,
message: platform_message.MessageChain,
quote_origin: bool = False,
is_final: bool = False,
):
# Periodically clean up stale stream contexts
await self._cleanup_stale_streams()
# 提取纯文本内容(当前 chunk 的文本)
text_parts = []
for msg in message:
if type(msg) is platform_message.Plain:
text_parts.append(msg.text)
chunk_text = '\n\n'.join(text_parts)
message_id = (
bot_message.get('resp_message_id')
if isinstance(bot_message, dict)
else getattr(bot_message, 'resp_message_id', None)
)
if not message_id or message_id not in self._stream_ctx:
# 非流式场景(如群聊不支持流式),累积文本后一次性回复
if chunk_text:
self._fallback_text[message_id] = self._fallback_text.get(message_id, '') + chunk_text
self._fallback_text_ts[message_id] = time.time()
if is_final:
full_text = self._fallback_text.pop(message_id, '')
if full_text:
fallback_msg = platform_message.MessageChain([platform_message.Plain(text=full_text)])
await self.reply_message(message_source, fallback_msg, quote_origin)
return
ctx = self._stream_ctx[message_id]
# 累积文本
if chunk_text:
ctx['accumulated_text'] += chunk_text
# 未启动会话时,等第一个有内容的 chunk 来建立会话
if not ctx['session_started']:
if not ctx['accumulated_text']:
return
# 用第一个 chunk 的文本建立会话(不发 "..." 避免污染前缀)
ctx['session_started'] = True
# 发送内容 = 全量累积文本
# QQ API 的 replace 模式不允许修改已下发前缀,所以:
# - 首次:发送全部文本,建立会话
# - 后续只能发送新增部分append 行为)
content_to_send = ctx['accumulated_text'][ctx['sent_length'] :]
if not content_to_send and not is_final:
return
input_state = 10 if is_final else 1
# Rate limiting: skip non-final updates if last update was <0.5s ago
now = time.time()
if not is_final and (now - ctx['last_update_ts']) < 0.5:
return
ctx['last_update_ts'] = now
try:
resp = await self.bot.send_stream_msg(
user_openid=ctx['user_openid'],
content=content_to_send,
event_id=ctx['msg_id'],
msg_id=ctx['msg_id'],
msg_seq=ctx['msg_seq'],
index=ctx['index'],
stream_msg_id=ctx['stream_msg_id'],
input_state=input_state,
)
if resp and isinstance(resp, dict):
new_stream_id = resp.get('id')
if new_stream_id:
ctx['stream_msg_id'] = new_stream_id
ctx['sent_length'] = len(ctx['accumulated_text'])
ctx['index'] += 1
await self.logger.debug(
f'[QQ Official] 流式 chunk 已发送, index={ctx["index"]}, '
f'sent_len={ctx["sent_length"]}, is_final={is_final}'
)
except Exception as e:
await self.logger.error(f'Failed to send stream message: {e}')
if is_final:
self._stream_ctx.pop(message_id, None)
return False
def unregister_listener(
self,

View File

@@ -5,25 +5,16 @@ metadata:
label:
en_US: QQ Official API
zh_Hans: QQ 官方 API
zh_Hant: QQ 官方 API
description:
en_US: QQ Official API (Webhook / WebSocket)
zh_Hans: QQ 官方 API,支持 Webhook 和 WebSocket 两种连接模
zh_Hant: QQ 官方 API支援 Webhook 和 WebSocket 兩種連線模式
en_US: QQ Official API (Webhook)
zh_Hans: QQ 官方 API (Webhook),请查看文档了解使用方
icon: qqofficial.svg
spec:
categories:
- china
help_links:
zh: https://link.langbot.app/zh/platforms/qqofficial
en: https://link.langbot.app/en/platforms/qqofficial
ja: https://link.langbot.app/ja/platforms/qqofficial
config:
- name: appid
label:
en_US: App ID
zh_Hans: 应用ID
zh_Hant: 應用ID
type: string
required: true
default: ""
@@ -31,7 +22,6 @@ spec:
label:
en_US: Secret
zh_Hans: 密钥
zh_Hant: 密鑰
type: string
required: true
default: ""
@@ -39,50 +29,9 @@ spec:
label:
en_US: Token
zh_Hans: 令牌
zh_Hant: 令牌
type: string
required: true
default: ""
- name: enable-webhook
label:
en_US: Enable Webhook Mode
zh_Hans: 启用Webhook模式
zh_Hant: 啟用 Webhook 模式
description:
en_US: If enabled, the bot will use webhook mode to receive messages. Otherwise, it will use WebSocket mode
zh_Hans: 如果启用,机器人将使用 Webhook 模式接收消息。否则,将使用 WebSocket 模式
zh_Hant: 如果啟用,機器人將使用 Webhook 模式接收訊息。否則,將使用 WebSocket 模式
type: boolean
required: true
default: false
- name: enable-stream-reply
label:
en_US: Enable Stream Reply Mode
zh_Hans: 启用流式回复模式
zh_Hant: 啟用串流回覆模式
description:
en_US: If enabled, the bot will use streaming mode to reply messages (C2C only)
zh_Hans: 如果启用,机器人将使用流式方式回复消息(仅私聊)
zh_Hant: 如果啟用,機器人將使用串流方式回覆訊息(僅私聊)
type: boolean
required: true
default: false
- name: webhook_url
label:
en_US: Webhook Callback URL
zh_Hans: Webhook 回调地址
zh_Hant: Webhook 回調地址
description:
en_US: Copy this URL and paste it into your QQ Official API webhook configuration
zh_Hans: 复制此地址并粘贴到 QQ 官方 API 的 Webhook 配置中
zh_Hant: 複製此地址並貼到 QQ 官方 API 的 Webhook 設定中
type: webhook-url
required: false
default: ""
show_if:
field: enable-webhook
operator: eq
value: true
execution:
python:
path: ./qqofficial.py

View File

@@ -5,70 +5,36 @@ metadata:
label:
en_US: Satori
zh_Hans: Satori
zh_Hant: Satori
th_TH: Satori
vi_VN: Satori
es_ES: Satori
description:
en_US: SatoriAdapter
zh_Hans: Satori 协议适配器,支持多种平台的接入,请查看文档了解使用方式
zh_Hant: Satori 協定適配器,支援多種平台的接入,請查看文件了解使用方式
th_TH: อะแดปเตอร์โปรโตคอล Satori รองรับการเชื่อมต่อหลายแพลตฟอร์ม โปรดดูเอกสารประกอบสำหรับวิธีการใช้งาน
vi_VN: Bộ điều hợp giao thức Satori, hỗ trợ kết nối nhiều nền tảng, vui lòng xem tài liệu để biết cách sử dụng
es_ES: Adaptador del protocolo Satori, soporta acceso a múltiples plataformas, consulte la documentación para obtener instrucciones de uso
zh_Hans: 古明地觉协议适配器
icon: satori.png
spec:
categories:
- protocol
help_links:
zh: https://link.langbot.app/zh/platforms/satori
en: https://link.langbot.app/en/platforms/satori
ja: https://link.langbot.app/ja/platforms/satori
config:
- name: platform
label:
en_US: Platform
zh_Hans: 平台名称
zh_Hant: 平台名稱
th_TH: ชื่อแพลตฟอร์ม
vi_VN: Tên nền tảng
es_ES: Nombre de la plataforma
type: string
required: true
default: "llonebot"
description:
en_US: The platform name (e.g., llonebot, discord, telegram)
zh_Hans: 平台名称(如 llonebot, discord, telegram
zh_Hant: 平台名稱(如 llonebot、discord、telegram
th_TH: ชื่อแพลตฟอร์ม (เช่น llonebot, discord, telegram)
vi_VN: "Tên nền tảng (ví dụ: llonebot, discord, telegram)"
es_ES: El nombre de la plataforma (p. ej., llonebot, discord, telegram)
- name: host
label:
en_US: Host
zh_Hans: 主机地址
zh_Hant: 主機地址
th_TH: ที่อยู่โฮสต์
vi_VN: Địa chỉ máy chủ
es_ES: Dirección del host
type: string
required: true
default: "127.0.0.1"
description:
en_US: The host address of LLOneBot Satori server (e.g., 127.0.0.1, localhost, 192.168.1.100)
zh_Hans: LLOneBot Satori服务器的主机地址如 127.0.0.1, localhost, 192.168.1.100
zh_Hant: LLOneBot Satori 伺服器的主機地址(如 127.0.0.1、localhost、192.168.1.100
th_TH: ที่อยู่โฮสต์ของเซิร์ฟเวอร์ LLOneBot Satori (เช่น 127.0.0.1, localhost, 192.168.1.100)
vi_VN: "Địa chỉ máy chủ LLOneBot Satori (ví dụ: 127.0.0.1, localhost, 192.168.1.100)"
es_ES: La dirección del host del servidor LLOneBot Satori (p. ej., 127.0.0.1, localhost, 192.168.1.100)
- name: port
label:
en_US: Port
zh_Hans: 监听端口
zh_Hant: 監聽連接埠
th_TH: พอร์ต
vi_VN: Cổng
es_ES: Puerto
type: integer
required: true
default: 5600
@@ -76,10 +42,6 @@ spec:
label:
en_US: Satori API Endpoint
zh_Hans: Satori API 终结点
zh_Hant: Satori API 端點
th_TH: จุดปลาย Satori API
vi_VN: Điểm cuối Satori API
es_ES: Punto de acceso de la API Satori
type: string
required: true
default: "http://localhost:5600/v1"
@@ -87,10 +49,6 @@ spec:
label:
en_US: Satori WebSocket Endpoint
zh_Hans: Satori WebSocket 终结点
zh_Hant: Satori WebSocket 端點
th_TH: จุดปลาย Satori WebSocket
vi_VN: Điểm cuối Satori WebSocket
es_ES: Punto de acceso WebSocket de Satori
type: string
required: true
default: "ws://localhost:5600/v1/events"
@@ -98,10 +56,6 @@ spec:
label:
en_US: Token
zh_Hans: 令牌
zh_Hant: 令牌
th_TH: โทเค็น
vi_VN: Mã thông báo
es_ES: Token
type: string
required: true
default: ""

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