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Author SHA1 Message Date
6mvp6
6bb73297e0 feat(wecom): add user feedback support for WeChat Work AI Bot
This commit implements user feedback functionality (like/dislike) for
WeChat Work AI Bot conversations, including:

Backend changes:
- Add feedback_id and stream_id fields to WecomBotEvent
- Implement feedback event handling in WecomBotClient (api.py)
- Add StreamSessionManager._feedback_index for feedback_id lookup
- Add on_feedback decorator for custom feedback handlers
- Create MonitoringFeedback entity for database persistence
- Add dbm025 migration for monitoring_feedback table
- Implement FeedbackMonitor helper class
- Update all platform adapters with ap parameter support
- Update botmgr to pass bot_info for monitoring context

Frontend changes:
- Add FeedbackCard and FeedbackList components
- Add useFeedbackData hook for feedback data fetching
- Add feedback tab to monitoring page
- Add feedback types and interfaces
- Add i18n translations (zh-Hans, en-US)

Other changes:
- Update Dockerfile with Chinese mirror for faster builds
- Update docker-compose.yaml with network configuration
- Update .gitignore for docker data and backup files

Note: Known issues that need future improvement:
- feedback_type=3 (cancel) is recorded but not properly handled
- Duplicate feedback records are not deduplicated
2026-03-30 00:05:27 +08:00
216 changed files with 6510 additions and 8371 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:

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())
"

9
.gitignore vendored
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@@ -53,5 +53,10 @@ src/langbot/web/
/build
*.egg-info
# Next.js build cache (legacy)
web/.next/
# Docker 部署产生的本地文件
docker/data/
docker/docker-compose.override.yaml
# 备份目录
LangBot_backup_*/
*.bak

View File

@@ -4,20 +4,24 @@ 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
WORKDIR /app
# Use Chinese mirror for faster and more reliable package downloads
RUN sed -i 's|deb.debian.org|mirrors.aliyun.com|g' /etc/apt/sources.list.d/debian.sources 2>/dev/null || \
sed -i 's|deb.debian.org|mirrors.aliyun.com|g' /etc/apt/sources.list 2>/dev/null || true
COPY . .
COPY --from=node /app/web/dist ./web/dist
COPY --from=node /app/web/out ./web/out
RUN apt update \
&& apt install gcc -y \
&& python -m pip install --no-cache-dir uv \
&& uv sync \
&& python -m pip install --no-cache-dir -i https://pypi.tuna.tsinghua.edu.cn/simple uv \
&& uv sync --index-url https://pypi.tuna.tsinghua.edu.cn/simple \
&& touch /.dockerenv
CMD [ "uv", "run", "--no-sync", "main.py" ]

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)
---
@@ -124,7 +124,7 @@ docker compose up -d
| [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)
---

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@@ -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>
@@ -45,7 +45,7 @@ LangBot 是一个**开源的生产级平台**,用于构建 AI 驱动的即时
- **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 +76,7 @@ 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)
---
@@ -125,7 +125,7 @@ docker compose up -d
| [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 | ✅ |
[→ 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)
---
@@ -123,7 +123,7 @@ docker compose up -d
| [接口 AI](https://jiekou.ai/) | Pasarela | ✅ |
| [302.AI](https://share.302.ai/SuTG99) | Pasarela | ✅ |
[→ Ver todas las integraciones](https://link.langbot.app/en/docs/features)
[→ Ver todas las integraciones](https://docs.langbot.app/en/insight/features.html)
---

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@@ -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)
---
@@ -123,7 +123,7 @@ docker compose up -d
| [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 | ✅ |
[→ Voir toutes les intégrations](https://link.langbot.app/en/docs/features)
[→ Voir toutes les intégrations](https://docs.langbot.app/en/insight/features.html)
---

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@@ -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)
---
@@ -123,7 +123,7 @@ docker compose up -d
| [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 | ✅ |
[→ 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)
---
@@ -123,7 +123,7 @@ docker compose up -d
| [接口 AI](https://jiekou.ai/) | 게이트웨이 | ✅ |
| [302.AI](https://share.302.ai/SuTG99) | 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)
---
@@ -123,7 +123,7 @@ docker compose up -d
| [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 | ✅ |
[→ 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)
---
@@ -139,7 +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)
---
@@ -123,7 +123,7 @@ docker compose up -d
| [接口 AI](https://jiekou.ai/) | Cổng | ✅ |
| [302.AI](https://share.302.ai/SuTG99) | 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

@@ -1,6 +1,6 @@
[project]
name = "langbot"
version = "4.9.6"
version = "4.9.4"
description = "Production-grade platform for building agentic IM bots"
readme = "README.md"
license-files = ["LICENSE"]
@@ -39,7 +39,6 @@ dependencies = [
"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",
@@ -65,7 +64,7 @@ dependencies = [
"chromadb>=1.0.0,<2.0.0",
"qdrant-client (>=1.15.1,<2.0.0)",
"pyseekdb==1.1.0.post3",
"langbot-plugin==0.3.8",
"langbot-plugin==0.3.5",
"asyncpg>=0.30.0",
"line-bot-sdk>=3.19.0",
"tboxsdk>=0.0.10",
@@ -112,7 +111,7 @@ requires = ["setuptools>=61.0", "wheel"]
build-backend = "setuptools.build_meta"
[tool.setuptools]
package-data = { "langbot" = ["templates/**", "pkg/provider/modelmgr/requesters/*", "pkg/platform/sources/*", "web/dist/**", "pkg/persistence/alembic/**"] }
package-data = { "langbot" = ["templates/**", "pkg/provider/modelmgr/requesters/*", "pkg/platform/sources/*", "web/out/**"] }
[dependency-groups]
dev = [

View File

@@ -1,3 +1,3 @@
"""LangBot - Production-grade platform for building agentic IM bots"""
__version__ = '4.9.6'
__version__ = '4.9.4'

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()
@@ -359,25 +268,7 @@ 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':

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

@@ -228,9 +228,6 @@ 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:
@@ -437,10 +434,10 @@ 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_as_data_uri(download_url, per_msg_aeskey)
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')
@@ -452,12 +449,10 @@ 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_as_data_uri(download_url, per_msg_aeskey)
if video_base64:
video_data['base64'] = video_base64
message_data['video'] = video_data
elif msg_type == 'file':
file_info = msg_json.get('file', {}) or {}
@@ -471,15 +466,12 @@ 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_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
message_data['file'] = file_data
elif msg_type == 'link':
message_data['link'] = msg_json.get('link', {})
@@ -595,120 +587,6 @@ 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
@@ -1020,38 +898,36 @@ class WecomBotClient:
)
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}'
f'反馈关联到会话: stream_id={session.stream_id}, msg_id={session.msg_id}, '
f'user_id={session.user_id}'
)
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())
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())
await self.logger.warning(f'未找到 feedback_id={feedback_id} 对应的会话')
except Exception:
await self.logger.error(traceback.format_exc())

View File

@@ -147,10 +147,3 @@ class WecomBotEvent(dict):
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

@@ -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

@@ -105,24 +105,23 @@ 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
elif path.startswith('home/'):
# SPA fallback for /home/* sub-routes.
# Entity detail views use query params (e.g. /home/bots?id=uuid),
# so the pre-rendered list page is served directly via path + '.html'.
# This fallback handles any remaining unmatched sub-paths.
segments = path.rstrip('/').split('/')
# Fallback to index.html for SPA client-side routing
# Walk up parent segments looking for matching .html files
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
# Final fallback to index.html for /home/* routes
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'

View File

@@ -1224,83 +1224,30 @@ class MonitoringService:
"""
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
record_id = str(uuid.uuid4())
record_data = {
'id': record_id,
'timestamp': datetime.datetime.now(datetime.timezone.utc).replace(tzinfo=None),
'feedback_id': feedback_id,
'feedback_type': feedback_type,
'feedback_content': feedback_content,
'inaccurate_reasons': json.dumps(inaccurate_reasons, ensure_ascii=False) if inaccurate_reasons else None,
'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,
}
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)
await self.ap.persistence_mgr.execute_async(
sqlalchemy.insert(persistence_monitoring.MonitoringFeedback).values(record_data)
)
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
return record_id
async def get_feedback_stats(
self,
@@ -1354,19 +1301,28 @@ class MonitoringService:
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,
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))
@@ -1477,9 +1433,7 @@ class MonitoringService:
'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_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,

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

@@ -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

@@ -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

@@ -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()

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@@ -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"}

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@@ -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

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@@ -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

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@@ -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

@@ -76,9 +76,6 @@ 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_space_model_providers()
async def create_tables(self):
@@ -138,28 +135,6 @@ 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

@@ -0,0 +1,75 @@
import sqlalchemy
from .. import migration
@migration.migration_class(25)
class DBMigrateFeedbackStats(migration.DBMigration):
"""Add monitoring_feedback table for storing user feedback from AI Bot conversations"""
async def _table_exists(self, table_name: str) -> bool:
"""Check if a table exists (works for both SQLite and PostgreSQL)."""
if self.ap.persistence_mgr.db.name == 'postgresql':
result = await self.ap.persistence_mgr.execute_async(
sqlalchemy.text(
'SELECT EXISTS (SELECT FROM information_schema.tables WHERE table_name = :table_name);'
).bindparams(table_name=table_name)
)
return bool(result.scalar())
else:
result = await self.ap.persistence_mgr.execute_async(
sqlalchemy.text("SELECT name FROM sqlite_master WHERE type='table' AND name=:table_name;").bindparams(
table_name=table_name
)
)
return result.first() is not None
async def upgrade(self):
"""Create monitoring_feedback table."""
if await self._table_exists('monitoring_feedback'):
self.ap.logger.debug('monitoring_feedback table already exists, skipping migration.')
return
# Create monitoring_feedback table with all columns
create_table_sql = '''
CREATE TABLE monitoring_feedback (
id VARCHAR(255) PRIMARY KEY,
timestamp DATETIME NOT NULL,
feedback_id VARCHAR(255) NOT NULL UNIQUE,
feedback_type INTEGER NOT NULL,
feedback_content TEXT,
inaccurate_reasons TEXT,
bot_id VARCHAR(255),
bot_name VARCHAR(255),
pipeline_id VARCHAR(255),
pipeline_name VARCHAR(255),
session_id VARCHAR(255),
message_id VARCHAR(255),
stream_id VARCHAR(255),
user_id VARCHAR(255),
platform VARCHAR(255)
)
'''
await self.ap.persistence_mgr.execute_async(sqlalchemy.text(create_table_sql))
# Create indexes
indexes = [
'CREATE INDEX ix_monitoring_feedback_timestamp ON monitoring_feedback (timestamp)',
'CREATE UNIQUE INDEX ix_monitoring_feedback_feedback_id ON monitoring_feedback (feedback_id)',
'CREATE INDEX ix_monitoring_feedback_bot_id ON monitoring_feedback (bot_id)',
'CREATE INDEX ix_monitoring_feedback_pipeline_id ON monitoring_feedback (pipeline_id)',
'CREATE INDEX ix_monitoring_feedback_session_id ON monitoring_feedback (session_id)',
'CREATE INDEX ix_monitoring_feedback_message_id ON monitoring_feedback (message_id)',
'CREATE INDEX ix_monitoring_feedback_stream_id ON monitoring_feedback (stream_id)',
]
for index_sql in indexes:
await self.ap.persistence_mgr.execute_async(sqlalchemy.text(index_sql))
self.ap.logger.info('Created monitoring_feedback table with indexes.')
async def downgrade(self):
"""Drop monitoring_feedback table."""
if await self._table_exists('monitoring_feedback'):
await self.ap.persistence_mgr.execute_async(
sqlalchemy.text('DROP TABLE monitoring_feedback')
)
self.ap.logger.info('Dropped monitoring_feedback table.')

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

@@ -353,3 +353,62 @@ class LLMCallMonitor:
)
return False # Don't suppress exceptions
class FeedbackMonitor:
"""Helper for recording user feedback from AI Bot conversations"""
@staticmethod
async def record_feedback(
ap: app.Application,
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 = 'wecom',
):
"""Record user feedback (like/dislike) from AI Bot conversation.
Args:
ap: Application instance
feedback_id: Unique feedback identifier from platform
feedback_type: 1 = like, 2 = dislike
feedback_content: Optional user feedback text
inaccurate_reasons: List of reasons for inaccurate response
bot_id: Bot UUID
bot_name: Bot name
pipeline_id: Pipeline UUID
pipeline_name: Pipeline name
session_id: Session ID
message_id: Message ID
stream_id: Stream ID
user_id: User ID
platform: Platform name (default: wecom)
"""
try:
await ap.monitoring_service.record_feedback(
feedback_id=feedback_id,
feedback_type=feedback_type,
feedback_content=feedback_content,
inaccurate_reasons=inaccurate_reasons,
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,
)
ap.logger.info(f'Recorded feedback: feedback_id={feedback_id}, type={feedback_type}')
except Exception as e:
ap.logger.error(f'Failed to record feedback: {e}')

View File

@@ -323,9 +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

@@ -160,6 +160,7 @@ 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.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:
@@ -171,15 +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):
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
@@ -54,148 +52,6 @@ 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 +83,6 @@ 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 +91,7 @@ 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 +126,6 @@ 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 +134,7 @@ 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 +142,6 @@ 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 +197,12 @@ 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)
@@ -500,12 +268,35 @@ class PlatformManager:
adapter_inst = self.adapter_dict[bot_entity.adapter](
bot_entity.adapter_config,
logger,
ap=self.ap,
)
# 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)
# 如果 adapter 支持 set_bot_info 方法,设置 bot 信息(用于监控记录)
if hasattr(adapter_inst, 'set_bot_info'):
pipeline_name = ''
if 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 == bot_entity.use_pipeline_uuid
)
)
pipeline_row = pipeline_result.first()
if pipeline_row:
pipeline_name = pipeline_row[0]
except Exception:
pass
adapter_inst.set_bot_info(
bot_id=bot_entity.uuid,
bot_name=bot_entity.name,
pipeline_id=bot_entity.use_pipeline_uuid or '',
pipeline_name=pipeline_name,
)
runtime_bot = RuntimeBot(ap=self.ap, bot_entity=bot_entity, adapter=adapter_inst, logger=logger)
await runtime_bot.initialize()

View File

@@ -14,10 +14,6 @@ metadata:
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:

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)
@@ -171,7 +139,7 @@ class DingTalkAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
dict # 回复卡片消息字典key为消息idvalue为回复卡片实例id用于在流式消息时判断是否发送到指定卡片
)
def __init__(self, config: dict, logger: EventLogger):
def __init__(self, config: dict, logger: EventLogger, ap=None, **kwargs):
required_keys = [
'client_id',
'client_secret',

View File

@@ -14,10 +14,6 @@ metadata:
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: client_id
label:

View File

@@ -23,10 +23,6 @@ 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:

View File

@@ -14,10 +14,6 @@ metadata:
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:

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(
@@ -805,65 +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
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,
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']
@@ -1153,7 +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',
}
],
@@ -1177,7 +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',
}
],
@@ -1539,52 +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
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,
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

@@ -18,10 +18,6 @@ spec:
- 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: app_id
label:

View File

@@ -136,7 +136,7 @@ class LINEAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
seq: int # 用于在发送卡片消息中识别消息顺序直接以seq作为标识
def __init__(self, config: dict, logger: EventLogger):
def __init__(self, config: dict, logger: EventLogger, ap=None, **kwargs):
configuration = Configuration(access_token=config['channel_access_token'])
line_webhook = WebhookHandler(config['channel_secret'])
parser = WebhookParser(config['channel_secret'])

View File

@@ -21,10 +21,6 @@ metadata:
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:

View File

@@ -60,7 +60,7 @@ class OfficialAccountAdapter(abstract_platform_adapter.AbstractMessagePlatformAd
bot: typing.Union[OAClient, OAClientForLongerResponse] = pydantic.Field(exclude=True)
bot_uuid: str = None
def __init__(self, config: dict, logger: EventLogger):
def __init__(self, config: dict, logger: EventLogger, ap=None, **kwargs):
# 校验必填项
required_keys = ['token', 'EncodingAESKey', 'AppSecret', 'AppID', 'Mode']
missing_keys = [k for k in required_keys if k not in config]

View File

@@ -14,10 +14,6 @@ metadata:
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:

View File

@@ -15,10 +15,6 @@ 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:

View File

@@ -132,7 +132,7 @@ class QQOfficialAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter
message_converter: QQOfficialMessageConverter = QQOfficialMessageConverter()
event_converter: QQOfficialEventConverter = QQOfficialEventConverter()
def __init__(self, config: dict, logger: EventLogger):
def __init__(self, config: dict, logger: EventLogger, ap=None, **kwargs):
bot = QQOfficialClient(
app_id=config['appid'], secret=config['secret'], token=config['token'], logger=logger, unified_mode=True
)

View File

@@ -14,10 +14,6 @@ metadata:
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: webhook_url
label:

View File

@@ -20,10 +20,6 @@ metadata:
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:

View File

@@ -99,7 +99,7 @@ class SlackAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
event_converter: SlackEventConverter = SlackEventConverter()
config: dict
def __init__(self, config: dict, logger: EventLogger):
def __init__(self, config: dict, logger: EventLogger, ap=None, **kwargs):
required_keys = [
'bot_token',
'signing_secret',

View File

@@ -23,10 +23,6 @@ spec:
categories:
- popular
- global
help_links:
zh: https://link.langbot.app/zh/platforms/slack
en: https://link.langbot.app/en/platforms/slack
ja: https://link.langbot.app/ja/platforms/slack
config:
- name: webhook_url
label:

View File

@@ -23,10 +23,6 @@ spec:
categories:
- popular
- global
help_links:
zh: https://link.langbot.app/zh/platforms/telegram
en: https://link.langbot.app/en/platforms/telegram
ja: https://link.langbot.app/ja/platforms/telegram
config:
- name: token
label:

View File

@@ -539,7 +539,7 @@ class WeChatPadAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter)
typing.Callable[[platform_events.Event, abstract_platform_adapter.AbstractMessagePlatformAdapter], None],
] = {}
def __init__(self, config: dict, logger: EventLogger):
def __init__(self, config: dict, logger: EventLogger, ap=None, **kwargs):
quart_app = quart.Quart(__name__)
message_converter = WeChatPadMessageConverter(config, logger)

View File

@@ -14,10 +14,6 @@ metadata:
spec:
categories:
- china
help_links:
zh: https://link.langbot.app/zh/platforms/wechatpad
en: https://link.langbot.app/en/platforms/wechatpad
ja: https://link.langbot.app/ja/platforms/wechatpad
config:
- name: wechatpad_url
label:

View File

@@ -206,7 +206,7 @@ class WecomAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
config: dict
bot_uuid: str = None
def __init__(self, config: dict, logger: EventLogger):
def __init__(self, config: dict, logger: EventLogger, ap=None, **kwargs):
# 校验必填项
required_keys = [
'corpid',

View File

@@ -15,10 +15,6 @@ spec:
categories:
- popular
- china
help_links:
zh: https://link.langbot.app/zh/platforms/wecom
en: https://link.langbot.app/en/platforms/wecom
ja: https://link.langbot.app/ja/platforms/wecom
config:
- name: webhook_url
label:

View File

@@ -10,8 +10,10 @@ import langbot_plugin.api.entities.builtin.platform.events as platform_events
import langbot_plugin.api.entities.builtin.platform.entities as platform_entities
from ..logger import EventLogger
from langbot.libs.wecom_ai_bot_api.wecombotevent import WecomBotEvent
from langbot.libs.wecom_ai_bot_api.api import WecomBotClient
from langbot.libs.wecom_ai_bot_api.api import WecomBotClient, StreamSession
from langbot.libs.wecom_ai_bot_api.ws_client import WecomBotWsClient
from ...core import app as langbot_app
from ...pipeline.monitoring_helper import FeedbackMonitor
class WecomBotMessageConverter(abstract_platform_adapter.AbstractMessageConverter):
@@ -126,107 +128,6 @@ class WecomBotMessageConverter(abstract_platform_adapter.AbstractMessageConverte
if summary:
yiri_msg_list.append(platform_message.Plain(text=summary))
# Handle quoted message (引用消息) - important for group chat file references
# 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_info = event.quote or {}
if quote_info:
# Process quote text content - add as Plain for context
if quote_info.get('content'):
yiri_msg_list.append(platform_message.Plain(text=f'[引用消息] {quote_info.get("content")}'))
# Process quote images - add as top-level Image components
quote_images = quote_info.get('images', [])
if not quote_images and quote_info.get('picurl'):
quote_images = [quote_info.get('picurl')]
for img_data in quote_images:
if img_data:
yiri_msg_list.append(platform_message.Image(base64=img_data))
# Process quote file - add as top-level File component (same as private chat)
quote_file = quote_info.get('file') or {}
if quote_file:
file_url = (
quote_file.get('base64')
or quote_file.get('download_url')
or quote_file.get('url')
or quote_file.get('fileurl')
)
file_name = quote_file.get('filename') or quote_file.get('name')
file_size = quote_file.get('filesize') or quote_file.get('size')
if file_url or file_name:
file_kwargs = {}
if file_url:
file_kwargs['url'] = file_url
if file_name:
file_kwargs['name'] = file_name
if file_size is not None:
file_kwargs['size'] = file_size
try:
yiri_msg_list.append(platform_message.File(**file_kwargs))
except Exception:
yiri_msg_list.append(platform_message.Unknown(text='[quoted file unsupported]'))
# Process quote voice - add as top-level Voice/File component
quote_voice = quote_info.get('voice') or {}
if quote_voice:
voice_payload = quote_voice.get('base64') or quote_voice.get('url')
if voice_payload:
if quote_voice.get('base64') and not voice_payload.startswith('data:'):
voice_payload = f'data:audio/mpeg;base64,{quote_voice.get("base64")}'
try:
yiri_msg_list.append(platform_message.Voice(base64=voice_payload))
except Exception:
try:
voice_kwargs = {'url': voice_payload}
voice_name = quote_voice.get('filename') or quote_voice.get('name')
voice_size = quote_voice.get('filesize') or quote_voice.get('size')
if voice_name:
voice_kwargs['name'] = voice_name
if voice_size is not None:
voice_kwargs['size'] = voice_size
yiri_msg_list.append(platform_message.File(**voice_kwargs))
except Exception:
yiri_msg_list.append(platform_message.Unknown(text='[quoted voice unsupported]'))
# Process quote video - add as top-level File component
quote_video = quote_info.get('video') or {}
if quote_video:
video_payload = (
quote_video.get('base64')
or quote_video.get('url')
or quote_video.get('download_url')
or quote_video.get('fileurl')
)
if video_payload:
video_kwargs = {'url': video_payload}
video_name = quote_video.get('filename') or quote_video.get('name')
video_size = quote_video.get('filesize') or quote_video.get('size')
if video_name:
video_kwargs['name'] = video_name
if video_size is not None:
video_kwargs['size'] = video_size
try:
yiri_msg_list.append(platform_message.File(**video_kwargs))
except Exception:
yiri_msg_list.append(platform_message.Unknown(text='[quoted video unsupported]'))
# Process quote link - add as Plain text
quote_link = quote_info.get('link') or {}
if quote_link:
link_summary = '\n'.join(
filter(
None,
[
quote_link.get('title', ''),
quote_link.get('description') or quote_link.get('digest', ''),
quote_link.get('url', ''),
],
)
)
if link_summary:
yiri_msg_list.append(platform_message.Plain(text=f'[引用链接] {link_summary}'))
has_content_element = any(
not isinstance(element, (platform_message.Source, platform_message.At)) for element in yiri_msg_list
)
@@ -293,8 +194,10 @@ class WecomBotAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
_ws_mode: bool = False
bot_name: str = ''
listeners: dict = {}
ap: langbot_app.Application = None # Application reference for monitoring
_bot_info: dict = None # Bot info for monitoring (bot_id, bot_name, pipeline_id, pipeline_name)
def __init__(self, config: dict, logger: EventLogger):
def __init__(self, config: dict, logger: EventLogger, ap: langbot_app.Application = None, **kwargs):
enable_webhook = config.get('enable-webhook', False)
bot_name = config.get('robot_name', '')
@@ -329,8 +232,14 @@ class WecomBotAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
bot_account_id=bot_account_id,
bot_name=bot_name,
event_converter=event_converter,
**kwargs,
)
self.listeners = {}
object.__setattr__(self, '_ws_mode', ws_mode)
object.__setattr__(self, 'ap', ap)
# Register feedback handler for monitoring
self._register_feedback_handler()
async def reply_message(
self,
@@ -412,9 +321,6 @@ class WecomBotAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
self.bot.on_message('single')(self.on_message)
elif event_type == platform_events.GroupMessage:
self.bot.on_message('group')(self.on_message)
elif event_type == platform_events.FeedbackEvent:
if hasattr(self.bot, 'on_feedback'):
self.bot.on_feedback()(self._on_feedback)
except Exception:
print(traceback.format_exc())
@@ -422,52 +328,65 @@ class WecomBotAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
"""设置 bot UUID用于生成 webhook URL"""
self.bot_uuid = bot_uuid
async def _on_feedback(self, **kwargs):
"""Handle feedback event from WeChat Work AI Bot SDK and dispatch as FeedbackEvent."""
try:
feedback_id = kwargs.get('feedback_id', '')
feedback_type = kwargs.get('feedback_type', 0)
feedback_content = kwargs.get('feedback_content', '') or None
inaccurate_reasons = kwargs.get('inaccurate_reasons', []) or None
# WeChat Work returns integer reason codes, but FeedbackEvent expects strings
if inaccurate_reasons:
inaccurate_reasons = [str(r) for r in inaccurate_reasons]
session = kwargs.get('session')
def set_bot_info(
self,
bot_id: str,
bot_name: str,
pipeline_id: str,
pipeline_name: str,
):
"""设置 bot 信息(用于监控记录)"""
self._bot_info = {
'bot_id': bot_id,
'bot_name': bot_name,
'pipeline_id': pipeline_id,
'pipeline_name': pipeline_name,
}
session_id = None
user_id = None
message_id = None
stream_id = None
if session:
def _register_feedback_handler(self):
"""注册用户反馈处理器,用于持久化反馈数据到监控服务"""
async def handle_feedback(
feedback_id: str,
feedback_type: int,
feedback_content: str,
inaccurate_reasons: list[str],
session: StreamSession,
):
"""处理用户反馈事件,持久化到监控服务"""
if not self.ap or not self._bot_info:
return
try:
# Build session_id from session info
session_id = None
if session.chat_id:
session_id = f'group_{session.chat_id}'
elif session.user_id:
session_id = f'person_{session.user_id}'
user_id = session.user_id
message_id = session.msg_id
stream_id = session.stream_id
await self.logger.info(
f'Feedback event: feedback_id={feedback_id}, type={feedback_type}, '
f'session_id={session_id}, user_id={user_id}, message_id={message_id}'
)
await FeedbackMonitor.record_feedback(
ap=self.ap,
feedback_id=feedback_id,
feedback_type=feedback_type,
feedback_content=feedback_content if feedback_content else None,
inaccurate_reasons=inaccurate_reasons if inaccurate_reasons else None,
bot_id=self._bot_info['bot_id'],
bot_name=self._bot_info['bot_name'],
pipeline_id=self._bot_info['pipeline_id'],
pipeline_name=self._bot_info['pipeline_name'],
session_id=session_id,
message_id=session.msg_id if session else None,
stream_id=session.stream_id if session else None,
user_id=session.user_id if session else None,
platform='wecom',
)
except Exception:
await self.logger.error(f'Failed to record feedback: {traceback.format_exc()}')
event = platform_events.FeedbackEvent(
feedback_id=feedback_id,
feedback_type=feedback_type,
feedback_content=feedback_content,
inaccurate_reasons=inaccurate_reasons,
user_id=user_id,
session_id=session_id,
message_id=message_id,
stream_id=stream_id,
source_platform_object=session,
)
if platform_events.FeedbackEvent in self.listeners:
await self.listeners[platform_events.FeedbackEvent](event, self)
except Exception:
await self.logger.error(f'Error in wecombot feedback callback: {traceback.format_exc()}')
# Register the feedback handler with the bot client
if hasattr(self.bot, 'on_feedback'):
self.bot.on_feedback()(handle_feedback)
async def handle_unified_webhook(self, bot_uuid: str, path: str, request):
_ws_mode = not self.config.get('enable-webhook', False)

View File

@@ -14,10 +14,6 @@ metadata:
spec:
categories:
- china
help_links:
zh: https://link.langbot.app/zh/platforms/wecombot
en: https://link.langbot.app/en/platforms/wecombot
ja: https://link.langbot.app/ja/platforms/wecombot
config:
- name: BotId
label:

View File

@@ -14,10 +14,6 @@ metadata:
spec:
categories:
- china
help_links:
zh: https://link.langbot.app/zh/platforms/wecomcs
en: https://link.langbot.app/en/platforms/wecomcs
ja: https://link.langbot.app/ja/platforms/wecomcs
config:
- name: webhook_url
label:

View File

@@ -60,16 +60,7 @@ class TelemetryManager:
except Exception:
sanitized['query_id'] = str(sanitized.get('query_id', ''))
for sfield in (
'adapter',
'runner',
'runner_category',
'model_name',
'version',
'edition',
'error',
'timestamp',
):
for sfield in ('adapter', 'runner', 'runner_category', 'model_name', 'version', 'error', 'timestamp'):
v = sanitized.get(sfield)
sanitized[sfield] = '' if v is None else str(v)

View File

@@ -38,31 +38,28 @@ def get_frontend_path() -> str:
"""
Get the path to the frontend build files.
Returns the path to web/dist directory (Vite build output), handling both:
Returns the path to web/out directory, handling both:
- Development mode: running from source directory
- Package mode: installed via pip/uvx
- Legacy mode: web/out (Next.js, for backward compatibility)
"""
# Check both dist (Vite) and out (legacy Next.js) paths
for dirname in ('dist', 'out'):
web_dir = f'web/{dirname}'
# First, check if we're running from source directory
if _check_if_source_install() and os.path.exists('web/out'):
return 'web/out'
# First, check if we're running from source directory
if _check_if_source_install() and os.path.exists(web_dir):
return web_dir
# Second, check current directory for web/out (in case user is in source dir)
if os.path.exists('web/out'):
return 'web/out'
# Second, check current directory
if os.path.exists(web_dir):
return web_dir
# Third, find it relative to the package installation
pkg_dir = Path(__file__).parent.parent.parent
frontend_path = pkg_dir / 'web' / dirname
if frontend_path.exists():
return str(frontend_path)
# Third, find it relative to the package installation
# Get the directory where this file is located
# paths.py is in pkg/utils/, so parent.parent goes up to pkg/, then parent again goes up to the package root
pkg_dir = Path(__file__).parent.parent.parent
frontend_path = pkg_dir / 'web' / 'out'
if frontend_path.exists():
return str(frontend_path)
# Return the default path (will be checked by caller)
return 'web/dist'
return 'web/out'
def get_resource_path(resource: str) -> str:

View File

@@ -203,7 +203,7 @@ class VersionManager:
try:
if await self.ap.ver_mgr.is_new_version_available():
return (
'New version available:\n有新版本可用,根据文档更新: \nhttps://link.langbot.app/zh/docs/update',
'New version available:\n有新版本可用,根据文档更新: \nhttps://docs.langbot.app/zh/deploy/update.html',
logging.INFO,
)

View File

@@ -20,7 +20,6 @@ system:
edition: community
recovery_key: ''
allow_modify_login_info: true
disabled_adapters: []
limitation:
max_bots: -1
max_pipelines: -1

View File

@@ -1,280 +0,0 @@
"""
RuntimeBot.resolve_pipeline_uuid and _match_operator unit tests
"""
from unittest.mock import Mock
class TestMatchOperator:
"""Test the _match_operator static method."""
@staticmethod
def _get_class():
from langbot.pkg.platform.botmgr import RuntimeBot
return RuntimeBot
def test_eq(self):
cls = self._get_class()
assert cls._match_operator('hello', 'eq', 'hello') is True
assert cls._match_operator('hello', 'eq', 'world') is False
def test_neq(self):
cls = self._get_class()
assert cls._match_operator('hello', 'neq', 'world') is True
assert cls._match_operator('hello', 'neq', 'hello') is False
def test_contains(self):
cls = self._get_class()
assert cls._match_operator('hello world', 'contains', 'world') is True
assert cls._match_operator('hello world', 'contains', 'xyz') is False
def test_not_contains(self):
cls = self._get_class()
assert cls._match_operator('hello world', 'not_contains', 'xyz') is True
assert cls._match_operator('hello world', 'not_contains', 'world') is False
def test_starts_with(self):
cls = self._get_class()
assert cls._match_operator('hello world', 'starts_with', 'hello') is True
assert cls._match_operator('hello world', 'starts_with', 'world') is False
def test_regex(self):
cls = self._get_class()
assert cls._match_operator('hello123', 'regex', r'\d+') is True
assert cls._match_operator('hello', 'regex', r'\d+') is False
def test_regex_invalid_pattern(self):
cls = self._get_class()
assert cls._match_operator('hello', 'regex', r'[invalid') is False
def test_unknown_operator(self):
cls = self._get_class()
assert cls._match_operator('hello', 'unknown_op', 'hello') is False
class TestResolvePipelineUuid:
"""Test the resolve_pipeline_uuid method."""
@staticmethod
def _make_bot(default_pipeline: str, rules: list):
from langbot.pkg.platform.botmgr import RuntimeBot
bot_entity = Mock()
bot_entity.use_pipeline_uuid = default_pipeline
bot_entity.pipeline_routing_rules = rules
bot = object.__new__(RuntimeBot)
bot.bot_entity = bot_entity
return bot
def test_no_rules_returns_default(self):
bot = self._make_bot('default-uuid', [])
uuid, routed = bot.resolve_pipeline_uuid('person', '123', 'hi')
assert uuid == 'default-uuid'
assert routed is False
def test_none_rules_returns_default(self):
bot = self._make_bot('default-uuid', None)
uuid, routed = bot.resolve_pipeline_uuid('person', '123', 'hi')
assert uuid == 'default-uuid'
assert routed is False
def test_launcher_type_match(self):
rules = [
{
'type': 'launcher_type',
'operator': 'eq',
'value': 'group',
'pipeline_uuid': 'group-pipeline',
}
]
bot = self._make_bot('default-uuid', rules)
uuid, routed = bot.resolve_pipeline_uuid('group', '123', 'hi')
assert uuid == 'group-pipeline'
assert routed is True
uuid, routed = bot.resolve_pipeline_uuid('person', '123', 'hi')
assert uuid == 'default-uuid'
assert routed is False
def test_launcher_id_match(self):
rules = [
{
'type': 'launcher_id',
'operator': 'eq',
'value': '12345',
'pipeline_uuid': 'vip-pipeline',
}
]
bot = self._make_bot('default-uuid', rules)
uuid, routed = bot.resolve_pipeline_uuid('person', '12345', 'hi')
assert uuid == 'vip-pipeline'
assert routed is True
uuid, routed = bot.resolve_pipeline_uuid('person', '99999', 'hi')
assert uuid == 'default-uuid'
assert routed is False
def test_message_content_contains(self):
rules = [
{
'type': 'message_content',
'operator': 'contains',
'value': '紧急',
'pipeline_uuid': 'urgent-pipeline',
}
]
bot = self._make_bot('default-uuid', rules)
uuid, routed = bot.resolve_pipeline_uuid('person', '123', '这是紧急消息')
assert uuid == 'urgent-pipeline'
assert routed is True
uuid, routed = bot.resolve_pipeline_uuid('person', '123', '普通消息')
assert uuid == 'default-uuid'
assert routed is False
def test_message_content_regex(self):
rules = [
{
'type': 'message_content',
'operator': 'regex',
'value': r'^/admin\b',
'pipeline_uuid': 'admin-pipeline',
}
]
bot = self._make_bot('default-uuid', rules)
uuid, routed = bot.resolve_pipeline_uuid('person', '123', '/admin help')
assert uuid == 'admin-pipeline'
assert routed is True
uuid, routed = bot.resolve_pipeline_uuid('person', '123', 'hello /admin')
assert uuid == 'default-uuid'
assert routed is False
def test_message_has_element_eq(self):
rules = [
{
'type': 'message_has_element',
'operator': 'eq',
'value': 'Image',
'pipeline_uuid': 'image-pipeline',
}
]
bot = self._make_bot('default-uuid', rules)
uuid, routed = bot.resolve_pipeline_uuid('person', '123', 'hi', ['Plain', 'Image'])
assert uuid == 'image-pipeline'
assert routed is True
uuid, routed = bot.resolve_pipeline_uuid('person', '123', 'hi', ['Plain'])
assert uuid == 'default-uuid'
assert routed is False
def test_message_has_element_neq(self):
rules = [
{
'type': 'message_has_element',
'operator': 'neq',
'value': 'Image',
'pipeline_uuid': 'text-only-pipeline',
}
]
bot = self._make_bot('default-uuid', rules)
uuid, routed = bot.resolve_pipeline_uuid('person', '123', 'hi', ['Plain'])
assert uuid == 'text-only-pipeline'
assert routed is True
uuid, routed = bot.resolve_pipeline_uuid('person', '123', 'hi', ['Plain', 'Image'])
assert uuid == 'default-uuid'
assert routed is False
def test_message_has_element_no_types_provided(self):
"""When element types are not provided, should not match."""
rules = [
{
'type': 'message_has_element',
'operator': 'eq',
'value': 'Image',
'pipeline_uuid': 'image-pipeline',
}
]
bot = self._make_bot('default-uuid', rules)
uuid, routed = bot.resolve_pipeline_uuid('person', '123', 'hi')
assert uuid == 'default-uuid'
assert routed is False
def test_first_match_wins(self):
rules = [
{
'type': 'launcher_type',
'operator': 'eq',
'value': 'group',
'pipeline_uuid': 'first-pipeline',
},
{
'type': 'launcher_type',
'operator': 'eq',
'value': 'group',
'pipeline_uuid': 'second-pipeline',
},
]
bot = self._make_bot('default-uuid', rules)
uuid, routed = bot.resolve_pipeline_uuid('group', '123', 'hi')
assert uuid == 'first-pipeline'
assert routed is True
def test_skip_invalid_rules(self):
rules = [
{'type': '', 'operator': 'eq', 'value': 'x', 'pipeline_uuid': 'p1'},
{'type': 'launcher_type', 'operator': 'eq', 'value': 'person', 'pipeline_uuid': ''},
{'type': 'launcher_type', 'operator': 'eq', 'value': 'person', 'pipeline_uuid': 'valid'},
]
bot = self._make_bot('default-uuid', rules)
uuid, routed = bot.resolve_pipeline_uuid('person', '123', 'hi')
assert uuid == 'valid'
assert routed is True
def test_default_operator_is_eq(self):
rules = [
{
'type': 'launcher_type',
'value': 'person',
'pipeline_uuid': 'person-pipeline',
}
]
bot = self._make_bot('default-uuid', rules)
uuid, routed = bot.resolve_pipeline_uuid('person', '123', 'hi')
assert uuid == 'person-pipeline'
assert routed is True
def test_discard_pipeline(self):
"""When pipeline_uuid is __discard__, the message should be discarded."""
from langbot.pkg.platform.botmgr import RuntimeBot
rules = [
{
'type': 'message_content',
'operator': 'contains',
'value': 'spam',
'pipeline_uuid': RuntimeBot.PIPELINE_DISCARD,
}
]
bot = self._make_bot('default-uuid', rules)
uuid, routed = bot.resolve_pipeline_uuid('person', '123', 'this is spam')
assert uuid == RuntimeBot.PIPELINE_DISCARD
assert routed is True
uuid, routed = bot.resolve_pipeline_uuid('person', '123', 'normal message')
assert uuid == 'default-uuid'
assert routed is False

38
uv.lock generated
View File

@@ -186,20 +186,6 @@ wheels = [
{ url = "https://files.pythonhosted.org/packages/00/b7/e3bf5133d697a08128598c8d0abc5e16377b51465a33756de24fa7dee953/aiosqlite-0.22.1-py3-none-any.whl", hash = "sha256:21c002eb13823fad740196c5a2e9d8e62f6243bd9e7e4a1f87fb5e44ecb4fceb", size = 17405, upload-time = "2025-12-23T19:25:42.139Z" },
]
[[package]]
name = "alembic"
version = "1.18.4"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "mako" },
{ name = "sqlalchemy" },
{ name = "typing-extensions" },
]
sdist = { url = "https://files.pythonhosted.org/packages/94/13/8b084e0f2efb0275a1d534838844926f798bd766566b1375174e2448cd31/alembic-1.18.4.tar.gz", hash = "sha256:cb6e1fd84b6174ab8dbb2329f86d631ba9559dd78df550b57804d607672cedbc", size = 2056725, upload-time = "2026-02-10T16:00:47.195Z" }
wheels = [
{ url = "https://files.pythonhosted.org/packages/d2/29/6533c317b74f707ea28f8d633734dbda2119bbadfc61b2f3640ba835d0f7/alembic-1.18.4-py3-none-any.whl", hash = "sha256:a5ed4adcf6d8a4cb575f3d759f071b03cd6e5c7618eb796cb52497be25bfe19a", size = 263893, upload-time = "2026-02-10T16:00:49.997Z" },
]
[[package]]
name = "annotated-types"
version = "0.7.0"
@@ -1846,7 +1832,7 @@ wheels = [
[[package]]
name = "langbot"
version = "4.9.6"
version = "4.9.4"
source = { editable = "." }
dependencies = [
{ name = "aiocqhttp" },
@@ -1854,7 +1840,6 @@ dependencies = [
{ name = "aiohttp" },
{ name = "aioshutil" },
{ name = "aiosqlite" },
{ name = "alembic" },
{ name = "anthropic" },
{ name = "argon2-cffi" },
{ name = "async-lru" },
@@ -1934,7 +1919,6 @@ requires-dist = [
{ name = "aiohttp", specifier = ">=3.11.18" },
{ name = "aioshutil", specifier = ">=1.5" },
{ name = "aiosqlite", specifier = ">=0.21.0" },
{ name = "alembic", specifier = ">=1.15.0" },
{ name = "anthropic", specifier = ">=0.51.0" },
{ name = "argon2-cffi", specifier = ">=23.1.0" },
{ name = "async-lru", specifier = ">=2.0.5" },
@@ -1953,7 +1937,7 @@ requires-dist = [
{ name = "ebooklib", specifier = ">=0.18" },
{ name = "gewechat-client", specifier = ">=0.1.5" },
{ name = "html2text", specifier = ">=2024.2.26" },
{ name = "langbot-plugin", specifier = "==0.3.8" },
{ name = "langbot-plugin", specifier = "==0.3.5" },
{ name = "langchain", specifier = ">=0.2.0" },
{ name = "langchain-text-splitters", specifier = ">=0.0.1" },
{ name = "lark-oapi", specifier = ">=1.4.15" },
@@ -2009,7 +1993,7 @@ dev = [
[[package]]
name = "langbot-plugin"
version = "0.3.8"
version = "0.3.5"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "aiofiles" },
@@ -2027,9 +2011,9 @@ dependencies = [
{ name = "watchdog" },
{ name = "websockets" },
]
sdist = { url = "https://files.pythonhosted.org/packages/b8/d8/7c8ac9516e35d69ead3e934b408e48541f5772eb88fbed19cd216af4b6c2/langbot_plugin-0.3.8.tar.gz", hash = "sha256:e8e420c3b2f167c9635e3e0af46fb452895be9d68ec05bf112ac5f221c3316f3", size = 179803, upload-time = "2026-04-10T11:05:42.791Z" }
sdist = { url = "https://files.pythonhosted.org/packages/1c/8f/0a22e4461b0893ac2afb1b6aaebafe04c921df6dbbf4b8bd6c83cf6a97b2/langbot_plugin-0.3.5.tar.gz", hash = "sha256:79c7feb08f788f480435de8cdefc3cfed4de2dfb03978a460251b8c9d1c271d3", size = 171927, upload-time = "2026-03-25T13:53:18.334Z" }
wheels = [
{ url = "https://files.pythonhosted.org/packages/81/63/4a61b67d4886522647e0b60063da155279b943a6b2e6cd004e29aedf67d1/langbot_plugin-0.3.8-py3-none-any.whl", hash = "sha256:2246f343b4735cb4004cf44462ffb47531222c21efeef163a4acd758ebbec2cd", size = 157354, upload-time = "2026-04-10T11:05:41.525Z" },
{ url = "https://files.pythonhosted.org/packages/cd/93/fdd4eb54434a358a3917aec74190e2e1b64351a5bb955677f634d29fc4fd/langbot_plugin-0.3.5-py3-none-any.whl", hash = "sha256:4d31f92338e1e2dc343ae00982e4facbe7abae84f4d1c4e1375cdcac9d7155d7", size = 146575, upload-time = "2026-03-25T13:53:16.987Z" },
]
[[package]]
@@ -2425,18 +2409,6 @@ wheels = [
{ url = "https://files.pythonhosted.org/packages/6c/77/d7f491cbc05303ac6801651aabeb262d43f319288c1ea96c66b1d2692ff3/lxml-6.0.2-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:27220da5be049e936c3aca06f174e8827ca6445a4353a1995584311487fc4e3e", size = 3518768, upload-time = "2025-09-22T04:04:57.097Z" },
]
[[package]]
name = "mako"
version = "1.3.10"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "markupsafe" },
]
sdist = { url = "https://files.pythonhosted.org/packages/9e/38/bd5b78a920a64d708fe6bc8e0a2c075e1389d53bef8413725c63ba041535/mako-1.3.10.tar.gz", hash = "sha256:99579a6f39583fa7e5630a28c3c1f440e4e97a414b80372649c0ce338da2ea28", size = 392474, upload-time = "2025-04-10T12:44:31.16Z" }
wheels = [
{ url = "https://files.pythonhosted.org/packages/87/fb/99f81ac72ae23375f22b7afdb7642aba97c00a713c217124420147681a2f/mako-1.3.10-py3-none-any.whl", hash = "sha256:baef24a52fc4fc514a0887ac600f9f1cff3d82c61d4d700a1fa84d597b88db59", size = 78509, upload-time = "2025-04-10T12:50:53.297Z" },
]
[[package]]
name = "markdown"
version = "3.10.1"

View File

@@ -1 +1 @@
VITE_API_BASE_URL=http://localhost:5300
NEXT_PUBLIC_API_BASE_URL=http://192.168.1.97:5300

1
web/.gitignore vendored
View File

@@ -14,7 +14,6 @@
/coverage
# next.js
/dist/
/.next/
/out/

View File

@@ -1,3 +1,3 @@
# Debug LangBot Frontend
Please refer to the [Development Guide](https://link.langbot.app/en/docs/dev-config) for more information.
Please refer to the [Development Guide](https://docs.langbot.app/en/develop/dev-config.html) for more information.

View File

@@ -1,7 +1,7 @@
{
"$schema": "https://ui.shadcn.com/schema.json",
"style": "new-york",
"rsc": false,
"rsc": true,
"tsx": true,
"tailwind": {
"config": "",

View File

@@ -1,27 +1,18 @@
import { dirname } from 'path';
import { fileURLToPath } from 'url';
import { FlatCompat } from '@eslint/eslintrc';
import eslintPluginPrettierRecommended from 'eslint-plugin-prettier/recommended';
import reactHooks from 'eslint-plugin-react-hooks';
import tseslint from 'typescript-eslint';
const __filename = fileURLToPath(import.meta.url);
const __dirname = dirname(__filename);
const compat = new FlatCompat({
baseDirectory: __dirname,
});
const eslintConfig = [
...tseslint.configs.recommended,
{
files: ['**/*.{js,jsx,ts,tsx}'],
plugins: {
'react-hooks': reactHooks,
},
rules: {
...reactHooks.configs.recommended.rules,
'@typescript-eslint/no-unused-vars': [
'warn',
{ argsIgnorePattern: '^_', varsIgnorePattern: '^_' },
],
'@typescript-eslint/no-explicit-any': 'off',
},
},
...compat.extends('next/core-web-vitals', 'next/typescript'),
eslintPluginPrettierRecommended,
{
ignores: ['dist/**', 'node_modules/**'],
},
];
export default eslintConfig;

View File

@@ -1,2 +0,0 @@
sed -i 's/children={<HomePage \/>} />\n <HomePage \/>\n <\/HomeLayout>/g' src/router.tsx
# well it's easier to recreate router.tsx

View File

@@ -1,16 +0,0 @@
<!doctype html>
<html lang="zh">
<head>
<meta charset="UTF-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<title>LangBot</title>
<meta
name="description"
content="Production-grade platform for building agentic IM bots"
/>
</head>
<body>
<div id="root"></div>
<script type="module" src="/src/main.tsx"></script>
</body>
</html>

View File

@@ -1,29 +0,0 @@
#!/bin/bash
cd /root/.openclaw/workspace/coding/projects/LangBot/web
# Find and replace next/navigation
find src -type f \( -name "*.ts" -o -name "*.tsx" \) -exec sed -i \
-e "s/import {.*useRouter.*} from 'next\/navigation'/import { useNavigate } from 'react-router-dom'/g" \
-e "s/import {.*usePathname.*} from 'next\/navigation'/import { useLocation } from 'react-router-dom'/g" \
-e "s/import {.*useSearchParams.*} from 'next\/navigation'/import { useSearchParams } from 'react-router-dom'/g" \
-e "s/const router = useRouter()/const navigate = useNavigate()/g" \
-e "s/router\.push(/navigate(/g" \
-e "s/router\.replace(/navigate(/g" \
-e "s/router\.back()/navigate(-1)/g" \
-e "s/router\.refresh()/navigate(0)/g" \
-e "s/const pathname = usePathname()/const location = useLocation();\n const pathname = location.pathname;/g" \
-e "s/usePathname()/useLocation().pathname/g" \
{} +
# Note: useSearchParams returns a tuple in react-router-dom. This might need manual fix depending on usage.
# Replace next/link
find src -type f \( -name "*.ts" -o -name "*.tsx" \) -exec sed -i \
-e "s/import Link from 'next\/link'/import { Link } from 'react-router-dom'/g" \
-e "s/<Link href=/<Link to=/g" \
{} +
# Remove 'use client'
find src -type f \( -name "*.ts" -o -name "*.tsx" \) -exec sed -i "s/'use client';//g" {} +
find src -type f \( -name "*.ts" -o -name "*.tsx" \) -exec sed -i 's/"use client";//g' {} +

8
web/next.config.ts Normal file
View File

@@ -0,0 +1,8 @@
import type { NextConfig } from 'next';
const nextConfig: NextConfig = {
/* config options here */
output: 'export',
};
export default nextConfig;

4346
web/package-lock.json generated

File diff suppressed because it is too large Load Diff

View File

@@ -3,15 +3,16 @@
"version": "0.1.0",
"private": true,
"scripts": {
"dev": "vite",
"build": "tsc && vite build",
"preview": "vite preview",
"lint": "eslint .",
"format": "prettier --write ."
"dev": "next dev --turbopack",
"build": "next build",
"start": "next start",
"lint": "eslint src",
"lint:fix": "eslint src --fix",
"lint-staged": "lint-staged"
},
"lint-staged": {
"*.{js,jsx,ts,tsx}": [
"eslint --fix",
"next lint --fix",
"prettier --write"
]
},
@@ -45,7 +46,6 @@
"@radix-ui/react-tooltip": "^1.2.7",
"@tailwindcss/postcss": "^4.1.5",
"@tanstack/react-table": "^8.21.3",
"@vitejs/plugin-react": "^6.0.1",
"axios": "^1.13.5",
"class-variance-authority": "^0.7.1",
"clsx": "^2.1.1",
@@ -55,6 +55,8 @@
"input-otp": "^1.4.2",
"lodash": "^4.17.23",
"lucide-react": "^0.507.0",
"next": "~16.1.5",
"next-themes": "^0.4.6",
"postcss": "^8.5.3",
"qrcode": "^1.5.4",
"react": "19.2.1",
@@ -63,7 +65,6 @@
"react-i18next": "^15.5.1",
"react-markdown": "^10.1.0",
"react-photo-view": "^1.2.7",
"react-router-dom": "^7.14.0",
"react-syntax-highlighter": "^16.1.0",
"recharts": "2.15.4",
"rehype-autolink-headings": "^7.1.0",
@@ -76,10 +77,10 @@
"tailwind-merge": "^3.2.0",
"tailwindcss": "^4.1.5",
"uuidjs": "^5.1.0",
"vite": "^8.0.3",
"zod": "^3.24.4"
},
"devDependencies": {
"@eslint/eslintrc": "^3",
"@types/debug": "^4.1.12",
"@types/estree": "^1.0.8",
"@types/estree-jsx": "^1.0.5",
@@ -94,10 +95,9 @@
"@types/react-syntax-highlighter": "^15.5.13",
"@types/unist": "^3.0.3",
"eslint": "^9",
"eslint-config-next": "15.2.4",
"eslint-config-prettier": "^10.1.2",
"eslint-plugin-prettier": "^5.2.6",
"eslint-plugin-react": "^7.37.5",
"eslint-plugin-react-hooks": "^5.2.0",
"lint-staged": "^15.5.1",
"prettier": "^3.5.3",
"tw-animate-css": "^1.2.9",

5379
web/pnpm-lock.yaml generated

File diff suppressed because it is too large Load Diff

View File

@@ -1,5 +1,7 @@
'use client';
import { useEffect, useState, useCallback, Suspense } from 'react';
import { useNavigate, useSearchParams } from 'react-router-dom';
import { useRouter, useSearchParams } from 'next/navigation';
import { httpClient } from '@/app/infra/http/HttpClient';
import { toast } from 'sonner';
import { useTranslation } from 'react-i18next';
@@ -21,8 +23,8 @@ import { LoadingSpinner } from '@/components/ui/loading-spinner';
import langbotIcon from '@/app/assets/langbot-logo.webp';
function SpaceOAuthCallbackContent() {
const navigate = useNavigate();
const [searchParams] = useSearchParams();
const router = useRouter();
const searchParams = useSearchParams();
const { t } = useTranslation();
const [status, setStatus] = useState<
@@ -49,7 +51,7 @@ function SpaceOAuthCallbackContent() {
const wizardState = localStorage.getItem('langbot_wizard_state');
const redirectTo = wizardState ? '/wizard' : '/home';
setTimeout(() => {
navigate(redirectTo);
router.push(redirectTo);
}, 1000);
} catch (err) {
setStatus('error');
@@ -62,7 +64,7 @@ function SpaceOAuthCallbackContent() {
}
}
},
[navigate, t],
[router, t],
);
const [bindState, setBindState] = useState<string | null>(null);
@@ -79,7 +81,7 @@ function SpaceOAuthCallbackContent() {
setStatus('success');
toast.success(t('account.bindSpaceSuccess'));
setTimeout(() => {
navigate('/home');
router.push('/home');
}, 1000);
} catch (err) {
setStatus('error');
@@ -94,7 +96,7 @@ function SpaceOAuthCallbackContent() {
setIsProcessing(false);
}
},
[navigate, t],
[router, t],
);
useEffect(() => {
@@ -144,7 +146,7 @@ function SpaceOAuthCallbackContent() {
};
const handleCancelBind = () => {
navigate('/home');
router.push('/home');
};
return (
@@ -152,7 +154,7 @@ function SpaceOAuthCallbackContent() {
<Card className="w-[400px] shadow-lg dark:shadow-white/10">
<CardHeader className="text-center">
<img
src={langbotIcon}
src={langbotIcon.src}
alt="LangBot"
className="w-16 h-16 mb-4 mx-auto"
/>
@@ -215,7 +217,7 @@ function SpaceOAuthCallbackContent() {
<>
<AlertCircle className="h-12 w-12 text-red-500" />
<Button
onClick={() => navigate(isBindMode ? '/home' : '/login')}
onClick={() => router.push(isBindMode ? '/home' : '/login')}
className="w-full mt-4"
>
{isBindMode ? t('common.backToHome') : t('common.backToLogin')}

View File

@@ -1,5 +1,3 @@
@import 'tailwindcss';
@import 'tw-animate-css';
:root {
/* 适用于 Firefox 的滚动条 */
scrollbar-color: rgba(0, 0, 0, 0.2) transparent; /* 滑块颜色 + 轨道颜色 */
@@ -74,6 +72,10 @@
}
}
@import 'tailwindcss';
@import 'tw-animate-css';
@custom-variant dark (&:is(.dark *));
@theme inline {

View File

@@ -1,5 +1,7 @@
'use client';
import { useState, useEffect, useRef, useCallback } from 'react';
import { useNavigate } from 'react-router-dom';
import { useRouter } from 'next/navigation';
import { Tabs, TabsList, TabsTrigger, TabsContent } from '@/components/ui/tabs';
import { Button } from '@/components/ui/button';
import { Switch } from '@/components/ui/switch';
@@ -32,7 +34,7 @@ import { toast } from 'sonner';
export default function BotDetailContent({ id }: { id: string }) {
const isCreateMode = id === 'new';
const navigate = useNavigate();
const router = useRouter();
const { t } = useTranslation();
const { refreshBots, bots, setDetailEntityName } = useSidebarData();
@@ -103,12 +105,12 @@ export default function BotDetailContent({ id }: { id: string }) {
function handleBotDeleted() {
refreshBots();
navigate('/home/bots');
router.push('/home/bots');
}
function handleNewBotCreated(newBotId: string) {
refreshBots();
navigate(`/home/bots?id=${encodeURIComponent(newBotId)}`);
router.push(`/home/bots?id=${encodeURIComponent(newBotId)}`);
}
function confirmDelete() {
@@ -174,11 +176,9 @@ export default function BotDetailContent({ id }: { id: string }) {
</div>
)}
</div>
{activeTab === 'config' && (
<Button type="submit" form="bot-form" disabled={!formDirty}>
{t('common.save')}
</Button>
)}
<Button type="submit" form="bot-form" disabled={!formDirty}>
{t('common.save')}
</Button>
</div>
{/* Horizontal Tabs */}

View File

@@ -1,5 +1,4 @@
import React, { useEffect, useMemo, useRef, useState } from 'react';
import i18n from 'i18next';
import {
IChooseAdapterEntity,
IPipelineEntity,
@@ -14,9 +13,6 @@ import { UUID } from 'uuidjs';
import DynamicFormComponent from '@/app/home/components/dynamic-form/DynamicFormComponent';
import { httpClient } from '@/app/infra/http/HttpClient';
import { Bot } from '@/app/infra/entities/api';
import { getAdapterDocUrl } from '@/app/infra/entities/adapter-docs';
import { ExternalLink } from 'lucide-react';
import RoutingRulesEditor from './RoutingRulesEditor';
import { zodResolver } from '@hookform/resolvers/zod';
import { useForm } from 'react-hook-form';
@@ -65,28 +61,6 @@ const getFormSchema = (t: (key: string) => string) =>
adapter_config: z.record(z.string(), z.any()),
enable: z.boolean().optional(),
use_pipeline_uuid: z.string().optional(),
pipeline_routing_rules: z
.array(
z.object({
type: z.enum([
'launcher_type',
'launcher_id',
'message_content',
'message_has_element',
]),
operator: z.enum([
'eq',
'neq',
'contains',
'not_contains',
'starts_with',
'regex',
]),
value: z.string(),
pipeline_uuid: z.string(),
}),
)
.optional(),
});
export default function BotForm({
@@ -112,7 +86,6 @@ export default function BotForm({
adapter_config: {},
enable: true,
use_pipeline_uuid: '',
pipeline_routing_rules: [],
},
});
@@ -129,9 +102,6 @@ export default function BotForm({
const [adapterDescriptionList, setAdapterDescriptionList] = useState<
Record<string, string>
>({});
const [adapterHelpLinks, setAdapterHelpLinks] = useState<
Record<string, Record<string, string>>
>({});
const [pipelineNameList, setPipelineNameList] = useState<IPipelineEntity[]>(
[],
@@ -179,7 +149,6 @@ export default function BotForm({
adapter_config: val.adapter_config,
enable: val.enable,
use_pipeline_uuid: val.use_pipeline_uuid || '',
pipeline_routing_rules: val.pipeline_routing_rules || [],
});
handleAdapterSelect(val.adapter);
@@ -240,18 +209,6 @@ export default function BotForm({
),
);
setAdapterHelpLinks(
adaptersRes.adapters.reduce(
(acc, item) => {
if (item.spec.help_links) {
acc[item.name] = item.spec.help_links;
}
return acc;
},
{} as Record<string, Record<string, string>>,
),
);
adaptersRes.adapters.forEach((rawAdapter) => {
adapterNameToDynamicConfigMap.set(
rawAdapter.name,
@@ -295,7 +252,6 @@ export default function BotForm({
adapter_config: bot.adapter_config,
enable: bot.enable ?? true,
use_pipeline_uuid: bot.use_pipeline_uuid ?? '',
pipeline_routing_rules: bot.pipeline_routing_rules ?? [],
webhook_full_url: runtimeValues?.webhook_full_url as
| string
| undefined,
@@ -340,7 +296,6 @@ export default function BotForm({
adapter_config: form.getValues().adapter_config,
enable: form.getValues().enable,
use_pipeline_uuid: form.getValues().use_pipeline_uuid,
pipeline_routing_rules: form.getValues().pipeline_routing_rules ?? [],
};
httpClient
.updateBot(initBotId, updateBot)
@@ -491,12 +446,6 @@ export default function BotForm({
</FormItem>
)}
/>
{/* Pipeline Routing Rules */}
<RoutingRulesEditor
form={form}
pipelineNameList={pipelineNameList}
/>
</CardContent>
</Card>
)}
@@ -520,81 +469,59 @@ export default function BotForm({
<span className="text-destructive">*</span>
</FormLabel>
<FormControl>
<div className="flex items-center gap-2">
<Select
onValueChange={(value) => {
field.onChange(value);
handleAdapterSelect(value);
}}
value={field.value}
>
<SelectTrigger className="w-[240px]">
{field.value ? (
<div className="flex items-center gap-2">
<img
src={httpClient.getAdapterIconURL(field.value)}
alt=""
className="h-5 w-5 rounded"
/>
<span>
{adapterNameList.find(
(a) => a.value === field.value,
)?.label ?? field.value}
</span>
</div>
) : (
<SelectValue
placeholder={t('bots.selectAdapter')}
<Select
onValueChange={(value) => {
field.onChange(value);
handleAdapterSelect(value);
}}
value={field.value}
>
<SelectTrigger className="w-[240px]">
{field.value ? (
<div className="flex items-center gap-2">
<img
src={httpClient.getAdapterIconURL(field.value)}
alt=""
className="h-5 w-5 rounded"
/>
)}
</SelectTrigger>
<SelectContent>
{groupedAdapters.map((group) => (
<SelectGroup
key={group.categoryId ?? 'uncategorized'}
>
{group.categoryId && (
<SelectLabel>
{getCategoryLabel(t, group.categoryId)}
</SelectLabel>
)}
{group.items.map((item) => (
<SelectItem key={item.value} value={item.value}>
<div className="flex items-center gap-2">
<img
src={httpClient.getAdapterIconURL(
item.value,
)}
alt=""
className="h-5 w-5 rounded"
/>
<span>{item.label}</span>
</div>
</SelectItem>
))}
</SelectGroup>
))}
</SelectContent>
</Select>
{currentAdapter &&
(() => {
const docUrl = getAdapterDocUrl(
adapterHelpLinks[currentAdapter],
i18n.language,
);
return docUrl ? (
<a
href={docUrl}
target="_blank"
rel="noopener noreferrer"
className="inline-flex shrink-0 items-center gap-1 text-xs text-primary hover:underline"
>
{t('bots.viewAdapterDocs')}
<ExternalLink className="h-3 w-3" />
</a>
) : null;
})()}
</div>
<span>
{adapterNameList.find(
(a) => a.value === field.value,
)?.label ?? field.value}
</span>
</div>
) : (
<SelectValue placeholder={t('bots.selectAdapter')} />
)}
</SelectTrigger>
<SelectContent>
{groupedAdapters.map((group) => (
<SelectGroup
key={group.categoryId ?? 'uncategorized'}
>
{group.categoryId && (
<SelectLabel>
{getCategoryLabel(t, group.categoryId)}
</SelectLabel>
)}
{group.items.map((item) => (
<SelectItem key={item.value} value={item.value}>
<div className="flex items-center gap-2">
<img
src={httpClient.getAdapterIconURL(
item.value,
)}
alt=""
className="h-5 w-5 rounded"
/>
<span>{item.label}</span>
</div>
</SelectItem>
))}
</SelectGroup>
))}
</SelectContent>
</Select>
</FormControl>
{currentAdapter && adapterDescriptionList[currentAdapter] && (
<FormDescription>

View File

@@ -1,480 +0,0 @@
'use client';
import { useTranslation } from 'react-i18next';
import { UseFormReturn } from 'react-hook-form';
import {
PipelineRoutingRule,
RoutingRuleOperator,
} from '@/app/infra/entities/api';
import { Ban, GripVertical, Plus, Trash2 } from 'lucide-react';
import { Button } from '@/components/ui/button';
import { Input } from '@/components/ui/input';
import { FormLabel } from '@/components/ui/form';
import {
Select,
SelectContent,
SelectItem,
SelectSeparator,
SelectTrigger,
SelectValue,
} from '@/components/ui/select';
import {
DndContext,
DragOverlay,
closestCenter,
PointerSensor,
KeyboardSensor,
useSensor,
useSensors,
DragEndEvent,
DragStartEvent,
} from '@dnd-kit/core';
import {
arrayMove,
SortableContext,
sortableKeyboardCoordinates,
useSortable,
verticalListSortingStrategy,
} from '@dnd-kit/sortable';
import { CSS } from '@dnd-kit/utilities';
import { useRef, useMemo, useState } from 'react';
export const PIPELINE_DISCARD = '__discard__';
interface PipelineOption {
value: string;
label: string;
emoji?: string;
}
interface RoutingRulesEditorProps {
// eslint-disable-next-line @typescript-eslint/no-explicit-any
form: UseFormReturn<any>;
pipelineNameList: PipelineOption[];
}
const OPERATORS_BY_TYPE: Record<
PipelineRoutingRule['type'],
{ value: RoutingRuleOperator; labelKey: string }[]
> = {
launcher_type: [
{ value: 'eq', labelKey: 'bots.operatorEq' },
{ value: 'neq', labelKey: 'bots.operatorNeq' },
],
launcher_id: [
{ value: 'eq', labelKey: 'bots.operatorEq' },
{ value: 'neq', labelKey: 'bots.operatorNeq' },
{ value: 'contains', labelKey: 'bots.operatorContains' },
{ value: 'not_contains', labelKey: 'bots.operatorNotContains' },
{ value: 'regex', labelKey: 'bots.operatorRegex' },
],
message_content: [
{ value: 'eq', labelKey: 'bots.operatorEq' },
{ value: 'neq', labelKey: 'bots.operatorNeq' },
{ value: 'contains', labelKey: 'bots.operatorContains' },
{ value: 'not_contains', labelKey: 'bots.operatorNotContains' },
{ value: 'starts_with', labelKey: 'bots.operatorStartsWith' },
{ value: 'regex', labelKey: 'bots.operatorRegex' },
],
message_has_element: [
{ value: 'eq', labelKey: 'bots.operatorHas' },
{ value: 'neq', labelKey: 'bots.operatorNotHas' },
],
};
function getValuePlaceholder(
t: (key: string) => string,
rule: PipelineRoutingRule,
): string {
if (rule.type === 'launcher_id')
return t('bots.ruleValueLauncherIdPlaceholder');
if (rule.type === 'message_has_element')
return t('bots.ruleValueElementPlaceholder');
if (rule.operator === 'regex') return t('bots.ruleValueRegexpPlaceholder');
return t('bots.ruleValueMessagePlaceholder');
}
/* ── Static rule row (used in DragOverlay) ─────────────────────────── */
interface RuleRowContentProps {
rule: PipelineRoutingRule;
index: number;
pipelineNameList: PipelineOption[];
updateRule: (index: number, patch: Partial<PipelineRoutingRule>) => void;
removeRule: (index: number) => void;
dragHandleProps?: Record<string, unknown>;
isOverlay?: boolean;
}
function RuleRowContent({
rule,
index,
pipelineNameList,
updateRule,
removeRule,
dragHandleProps,
isOverlay,
}: RuleRowContentProps) {
const { t } = useTranslation();
const operatorsForType =
OPERATORS_BY_TYPE[rule.type] || OPERATORS_BY_TYPE.message_content;
const isDiscard = rule.pipeline_uuid === PIPELINE_DISCARD;
return (
<div
className={`flex items-center gap-2 mt-2 p-3 border rounded-md bg-muted/30 ${
isOverlay ? 'shadow-lg ring-2 ring-primary/20 bg-background' : ''
}`}
>
{/* Drag handle */}
<button
type="button"
className="cursor-grab active:cursor-grabbing shrink-0 text-muted-foreground hover:text-foreground touch-none"
{...dragHandleProps}
>
<GripVertical className="h-4 w-4" />
</button>
{/* Field selector */}
<Select
value={rule.type}
onValueChange={(val) => {
updateRule(index, {
type: val as PipelineRoutingRule['type'],
operator: 'eq',
value: '',
});
}}
>
<SelectTrigger className="w-[130px]">
<SelectValue />
</SelectTrigger>
<SelectContent>
<SelectItem value="launcher_type">
{t('bots.ruleTypeLauncherType')}
</SelectItem>
<SelectItem value="launcher_id">
{t('bots.ruleTypeLauncherId')}
</SelectItem>
<SelectItem value="message_content">
{t('bots.ruleTypeMessageContent')}
</SelectItem>
<SelectItem value="message_has_element">
{t('bots.ruleTypeMessageHasElement')}
</SelectItem>
</SelectContent>
</Select>
{/* Operator selector */}
<Select
value={rule.operator || 'eq'}
onValueChange={(val) => {
updateRule(index, { operator: val as RoutingRuleOperator });
}}
>
<SelectTrigger className="w-[120px]">
<SelectValue />
</SelectTrigger>
<SelectContent>
{operatorsForType.map((op) => (
<SelectItem key={op.value} value={op.value}>
{t(op.labelKey)}
</SelectItem>
))}
</SelectContent>
</Select>
{/* Value input */}
{rule.type === 'launcher_type' ? (
<Select
value={rule.value}
onValueChange={(val) => updateRule(index, { value: val })}
>
<SelectTrigger className="w-[100px]">
<SelectValue placeholder={t('bots.ruleValuePlaceholder')} />
</SelectTrigger>
<SelectContent>
<SelectItem value="person">
{t('bots.sessionTypePerson')}
</SelectItem>
<SelectItem value="group">{t('bots.sessionTypeGroup')}</SelectItem>
</SelectContent>
</Select>
) : rule.type === 'message_has_element' ? (
<Select
value={rule.value}
onValueChange={(val) => updateRule(index, { value: val })}
>
<SelectTrigger className="w-[120px]">
<SelectValue placeholder={t('bots.ruleValueElementPlaceholder')} />
</SelectTrigger>
<SelectContent>
<SelectItem value="Image">{t('bots.elementImage')}</SelectItem>
<SelectItem value="Voice">{t('bots.elementVoice')}</SelectItem>
<SelectItem value="File">{t('bots.elementFile')}</SelectItem>
<SelectItem value="Forward">{t('bots.elementForward')}</SelectItem>
<SelectItem value="Face">{t('bots.elementFace')}</SelectItem>
<SelectItem value="At">{t('bots.elementAt')}</SelectItem>
<SelectItem value="AtAll">{t('bots.elementAtAll')}</SelectItem>
<SelectItem value="Quote">{t('bots.elementQuote')}</SelectItem>
</SelectContent>
</Select>
) : (
<Input
className="flex-1"
placeholder={getValuePlaceholder(t, rule)}
value={rule.value}
onChange={(e) => updateRule(index, { value: e.target.value })}
/>
)}
<span className="text-sm text-muted-foreground shrink-0"></span>
{/* Pipeline selector */}
<Select
value={rule.pipeline_uuid}
onValueChange={(val) => updateRule(index, { pipeline_uuid: val })}
>
<SelectTrigger className="w-[200px]">
{rule.pipeline_uuid ? (
isDiscard ? (
<div className="flex items-center gap-2 text-destructive">
<Ban className="h-3.5 w-3.5 shrink-0" />
<span>{t('bots.pipelineDiscard')}</span>
</div>
) : (
(() => {
const p = pipelineNameList.find(
(p) => p.value === rule.pipeline_uuid,
);
return (
<div className="flex items-center gap-2">
{p?.emoji && (
<span className="text-sm shrink-0">{p.emoji}</span>
)}
<span>{p?.label ?? rule.pipeline_uuid}</span>
</div>
);
})()
)
) : (
<SelectValue placeholder={t('bots.selectPipeline')} />
)}
</SelectTrigger>
<SelectContent>
<SelectItem value={PIPELINE_DISCARD}>
<div className="flex items-center gap-2 text-destructive">
<Ban className="h-3.5 w-3.5 shrink-0" />
<span>{t('bots.pipelineDiscard')}</span>
</div>
</SelectItem>
<SelectSeparator />
{pipelineNameList.map((item) => (
<SelectItem key={item.value} value={item.value}>
<div className="flex items-center gap-2">
{item.emoji && (
<span className="text-sm shrink-0">{item.emoji}</span>
)}
<span>{item.label}</span>
</div>
</SelectItem>
))}
</SelectContent>
</Select>
<Button
type="button"
variant="ghost"
size="icon"
className="shrink-0"
onClick={() => removeRule(index)}
>
<Trash2 className="h-4 w-4 text-destructive" />
</Button>
</div>
);
}
/* ── Sortable rule row ─────────────────────────────────────────────── */
interface SortableRuleRowProps {
id: string;
rule: PipelineRoutingRule;
index: number;
pipelineNameList: PipelineOption[];
updateRule: (index: number, patch: Partial<PipelineRoutingRule>) => void;
removeRule: (index: number) => void;
}
function SortableRuleRow({
id,
rule,
index,
pipelineNameList,
updateRule,
removeRule,
}: SortableRuleRowProps) {
const { attributes, listeners, setNodeRef, transform, isDragging } =
useSortable({ id });
const style = {
transform: CSS.Transform.toString(transform),
// No transition — items reorder visually during drag via transform;
// on drop the data updates and transform resets, so animating would
// cause a redundant "swap" flicker.
opacity: isDragging ? 0.3 : undefined,
};
return (
<div ref={setNodeRef} style={style}>
<RuleRowContent
rule={rule}
index={index}
pipelineNameList={pipelineNameList}
updateRule={updateRule}
removeRule={removeRule}
dragHandleProps={{ ...attributes, ...listeners }}
/>
</div>
);
}
/* ── Main editor ───────────────────────────────────────────────────── */
export default function RoutingRulesEditor({
form,
pipelineNameList,
}: RoutingRulesEditorProps) {
const { t } = useTranslation();
const [activeId, setActiveId] = useState<string | null>(null);
const rules: PipelineRoutingRule[] =
form.watch('pipeline_routing_rules') || [];
// Stable unique ids for sortable items.
// We keep a running counter so newly added rules always get fresh ids.
const nextId = useRef(0);
const idsRef = useRef<string[]>([]);
const sortableIds = useMemo(() => {
// Grow the id list to match rules length (newly added items get new ids).
while (idsRef.current.length < rules.length) {
idsRef.current.push(`rule-${nextId.current++}`);
}
// Shrink if rules were removed from the end.
if (idsRef.current.length > rules.length) {
idsRef.current = idsRef.current.slice(0, rules.length);
}
return idsRef.current;
}, [rules.length]);
const updateRules = (newRules: PipelineRoutingRule[]) => {
form.setValue('pipeline_routing_rules', newRules, { shouldDirty: true });
};
const addRule = () => {
updateRules([
...rules,
{
type: 'launcher_type',
operator: 'eq',
value: '',
pipeline_uuid: '',
},
]);
};
const updateRule = (index: number, patch: Partial<PipelineRoutingRule>) => {
const updated = [...rules];
updated[index] = { ...updated[index], ...patch };
updateRules(updated);
};
const removeRule = (index: number) => {
const updated = [...rules];
updated.splice(index, 1);
// Also remove the corresponding sortable id so indices stay in sync.
idsRef.current.splice(index, 1);
updateRules(updated);
};
const sensors = useSensors(
useSensor(PointerSensor, { activationConstraint: { distance: 5 } }),
useSensor(KeyboardSensor, {
coordinateGetter: sortableKeyboardCoordinates,
}),
);
const handleDragStart = (event: DragStartEvent) => {
setActiveId(event.active.id as string);
};
const handleDragEnd = (event: DragEndEvent) => {
setActiveId(null);
const { active, over } = event;
if (!over || active.id === over.id) return;
const oldIndex = sortableIds.indexOf(active.id as string);
const newIndex = sortableIds.indexOf(over.id as string);
if (oldIndex === -1 || newIndex === -1) return;
idsRef.current = arrayMove(idsRef.current, oldIndex, newIndex);
updateRules(arrayMove(rules, oldIndex, newIndex));
};
const activeIndex = activeId ? sortableIds.indexOf(activeId) : -1;
const activeRule = activeIndex >= 0 ? rules[activeIndex] : null;
return (
<div className="mt-6">
<div className="flex items-center justify-between mb-2">
<div>
<FormLabel>{t('bots.routingRules')}</FormLabel>
<p className="text-sm text-muted-foreground mt-1">
{t('bots.routingRulesDescription')}
</p>
</div>
<Button type="button" variant="outline" size="sm" onClick={addRule}>
<Plus className="h-4 w-4 mr-1" />
{t('bots.addRoutingRule')}
</Button>
</div>
<DndContext
sensors={sensors}
collisionDetection={closestCenter}
onDragStart={handleDragStart}
onDragEnd={handleDragEnd}
>
<SortableContext
items={sortableIds}
strategy={verticalListSortingStrategy}
>
{rules.map((rule, index) => (
<SortableRuleRow
key={sortableIds[index]}
id={sortableIds[index]}
rule={rule}
index={index}
pipelineNameList={pipelineNameList}
updateRule={updateRule}
removeRule={removeRule}
/>
))}
</SortableContext>
<DragOverlay dropAnimation={null}>
{activeRule ? (
<RuleRowContent
rule={activeRule}
index={activeIndex}
pipelineNameList={pipelineNameList}
updateRule={updateRule}
removeRule={removeRule}
isOverlay
/>
) : null}
</DragOverlay>
</DndContext>
</div>
);
}

View File

@@ -1,3 +1,5 @@
'use client';
import { useState } from 'react';
import { BotLog } from '@/app/infra/http/requestParam/bots/GetBotLogsResponse';
import { httpClient } from '@/app/infra/http/HttpClient';

View File

@@ -1,3 +1,5 @@
'use client';
import { BotLogManager } from '@/app/home/bots/components/bot-log/BotLogManager';
import { useCallback, useEffect, useRef, useState, useMemo } from 'react';
import { BotLog } from '@/app/infra/http/requestParam/bots/GetBotLogsResponse';
@@ -13,7 +15,7 @@ import { Checkbox } from '@/components/ui/checkbox';
import { ChevronDownIcon, ExternalLink } from 'lucide-react';
import { debounce } from 'lodash';
import { useTranslation } from 'react-i18next';
import { useNavigate } from 'react-router-dom';
import { useRouter } from 'next/navigation';
export function BotLogListComponent({
botId,
@@ -30,7 +32,7 @@ export function BotLogListComponent({
hideToolbar?: boolean;
}) {
const { t } = useTranslation();
const navigate = useNavigate();
const router = useRouter();
const manager = useRef(new BotLogManager(botId)).current;
const [botLogList, setBotLogList] = useState<BotLog[]>([]);
const [autoFlush, setAutoFlush] = useState(true);
@@ -229,7 +231,7 @@ export function BotLogListComponent({
variant="outline"
size="sm"
className="gap-1"
onClick={() => navigate(`/home/monitoring?botId=${botId}`)}
onClick={() => router.push(`/home/monitoring?botId=${botId}`)}
>
<ExternalLink className="size-3.5" />
<span className="text-sm">{t('bots.viewDetailedLogs')}</span>

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