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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
445 changed files with 7354 additions and 52996 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:

View File

@@ -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:

View File

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

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

View File

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

View File

@@ -4,29 +4,25 @@ on:
pull_request:
types: [opened, ready_for_review, synchronize]
paths:
- 'src/langbot/**'
- 'pkg/**'
- 'tests/**'
- '.github/workflows/run-tests.yml'
- 'pyproject.toml'
- 'uv.lock'
- 'run_tests.sh'
- 'scripts/test-*.sh'
push:
branches:
- master
- develop
paths:
- 'src/langbot/**'
- 'pkg/**'
- 'tests/**'
- '.github/workflows/run-tests.yml'
- 'pyproject.toml'
- 'uv.lock'
- 'run_tests.sh'
- 'scripts/test-*.sh'
jobs:
test:
name: Unit Tests
name: Run Unit Tests
runs-on: ubuntu-latest
strategy:
matrix:
@@ -43,13 +39,28 @@ jobs:
python-version: ${{ matrix.python-version }}
- name: Install uv
uses: astral-sh/setup-uv@v4
run: |
curl -LsSf https://astral.sh/uv/install.sh | sh
echo "$HOME/.cargo/bin" >> $GITHUB_PATH
- name: Install dependencies
run: uv sync --dev
run: |
uv sync --dev
- name: Run unit + smoke tests
run: uv run pytest tests/unit_tests/ tests/smoke/ -q --tb=short
- name: Run unit tests
run: |
bash run_tests.sh
- name: Upload coverage to Codecov
if: matrix.python-version == '3.12'
uses: codecov/codecov-action@v5
with:
files: ./coverage.xml
flags: unit-tests
name: unit-tests-coverage
fail_ci_if_error: false
env:
CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }}
- name: Test Summary
if: always()
@@ -58,79 +69,3 @@ jobs:
echo "" >> $GITHUB_STEP_SUMMARY
echo "Python Version: ${{ matrix.python-version }}" >> $GITHUB_STEP_SUMMARY
echo "Test Status: ${{ job.status }}" >> $GITHUB_STEP_SUMMARY
integration:
name: Fast Integration Tests
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: Run fast integration tests
run: uv run pytest tests/integration/ -m "not slow" -q --tb=short
- name: Integration Test Summary
if: always()
run: |
echo "## Integration Tests Results" >> $GITHUB_STEP_SUMMARY
echo "" >> $GITHUB_STEP_SUMMARY
echo "Test Status: ${{ job.status }}" >> $GITHUB_STEP_SUMMARY
coverage:
name: Coverage Gate
runs-on: ubuntu-latest
needs: [test, integration]
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: Run coverage (unit + smoke)
run: |
uv run pytest tests/unit_tests/ tests/smoke/ \
--cov=langbot \
--cov-report=xml \
--cov-report=term-missing \
--cov-fail-under=18 \
-q --tb=short
- name: Upload coverage to Codecov
uses: codecov/codecov-action@v5
with:
files: ./coverage.xml
flags: unit-tests
name: coverage-report
fail_ci_if_error: false
env:
CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }}
- name: Coverage Summary
if: always()
run: |
echo "## Coverage Results" >> $GITHUB_STEP_SUMMARY
echo "" >> $GITHUB_STEP_SUMMARY
echo "Threshold: 18%" >> $GITHUB_STEP_SUMMARY
echo "Status: ${{ job.status }}" >> $GITHUB_STEP_SUMMARY

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@@ -1,78 +0,0 @@
name: Test Migrations
on:
push:
branches:
- main
- master
- dev
paths:
- 'src/langbot/pkg/persistence/**'
- 'src/langbot/pkg/entity/persistence/**'
- 'tests/integration/persistence/**'
pull_request:
types: [opened, synchronize, reopened, ready_for_review]
paths:
- 'src/langbot/pkg/persistence/**'
- 'src/langbot/pkg/entity/persistence/**'
- 'tests/integration/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: Run SQLite migration tests
run: uv run pytest tests/integration/persistence/test_migrations.py -q --tb=short
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: Run PostgreSQL migration tests
env:
TEST_POSTGRES_URL: postgresql+asyncpg://langbot:langbot@localhost:5432/langbot_test
run: uv run pytest tests/integration/persistence/test_migrations_postgres.py -q --tb=short

10
.gitignore vendored
View File

@@ -47,12 +47,16 @@ plugins.bak
coverage.xml
.coverage
src/langbot/web/
testsdk/
# Build artifacts
/dist
/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

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

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@@ -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

@@ -1,36 +0,0 @@
# LangBot Makefile
# Quick developer commands
.PHONY: test test-quick test-integration-fast test-coverage test-all-local lint
# Run all tests (full suite with coverage)
test:
bash run_tests.sh
# Quick self-test for developers (lint + unit + smoke, no real credentials needed)
test-quick:
bash scripts/test-quick.sh
# Fast integration tests (SQLite/API/Pipeline, no external services)
test-integration-fast:
bash scripts/test-integration-fast.sh
# Coverage gate (all tests, enforces minimum threshold)
test-coverage:
bash scripts/test-coverage.sh
# Full local quality gate (quick + integration + coverage)
test-all-local:
bash scripts/test-quick.sh
bash scripts/test-integration-fast.sh
bash scripts/test-coverage.sh
# Run linting only
lint:
ruff check src/langbot/ tests/
ruff format --check src/langbot/ tests/
# Fix linting issues
lint-fix:
ruff check --fix src/langbot/ tests/
ruff format src/langbot/ tests/

View File

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

View File

@@ -21,9 +21,9 @@
[![star](https://gitcode.com/RockChinQ/LangBot/star/badge.svg)](https://gitcode.com/RockChinQ/LangBot)
<a href="https://langbot.app">官网</a>
<a href="https://link.langbot.app/zh/docs/features">特性</a>
<a href="https://link.langbot.app/zh/docs/guide">文档</a>
<a href="https://link.langbot.app/zh/docs/api">API</a>
<a href="https://docs.langbot.app/zh/insight/features.html">特性</a>
<a href="https://docs.langbot.app/zh/insight/guide.html">文档</a>
<a href="https://docs.langbot.app/zh/tags/readme.html">API</a>
<a href="https://space.langbot.app/cloud">Cloud</a>
<a href="https://space.langbot.app">插件市场</a>
<a href="https://langbot.featurebase.app/roadmap">路线图</a>
@@ -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)
---
@@ -87,16 +87,13 @@ docker compose up -d
| QQ | ✅ | 个人号、官方机器人(频道、私聊、群聊) |
| 微信 | ✅ | 个人微信、微信公众号 |
| 企业微信 | ✅ | 应用消息、对外客服、智能机器人 |
| 飞书 | ✅ | 官方 |
| 钉钉 | ✅ | 官方 |
| Satori | ✅ | |
| Discord | ✅ | 官方 |
| Telegram | ✅ | 官方 |
| Slack | ✅ | 官方 |
| LINE | ✅ | 官方 |
| KOOK | ✅ | 官方 |
| Email | ✅ | 只 Matrix、Satori |
| Matrix | ✅ | 支持多种桥接平台,如 Signal、WhatsApp、Messenger、iMessage、Mattermost、Google Chat、IRC、XMPP、Zulip 等 |
| 飞书 | ✅ | |
| 钉钉 | ✅ | |
| Discord | ✅ | |
| Telegram | ✅ | |
| Slack | ✅ | |
| LINE | ✅ | |
| KOOK | ✅ | |
---
@@ -127,9 +124,8 @@ docker compose up -d
| [302.AI](https://share.302.ai/SuTG99) | 聚合平台 | ✅ |
| [小马算力](https://www.tokenpony.cn/453z1) | 聚合平台 | ✅ |
| [百宝箱Tbox](https://www.tbox.cn/open) | 智能体平台 | ✅ |
| [七牛云Qiniu](https://www.qiniu.com/ai/agent) | 聚合平台 | ✅ |
[→ 查看完整集成列表](https://link.langbot.app/zh/docs/features)
[→ 查看完整集成列表](https://docs.langbot.app/zh/insight/features.html)
### TTS语音合成

View File

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

View File

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

View File

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

View File

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

View File

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

View File

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

View File

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

View File

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

View File

@@ -1,6 +1,6 @@
[project]
name = "langbot"
version = "4.9.7"
version = "4.9.4"
description = "Production-grade platform for building agentic IM bots"
readme = "README.md"
license-files = ["LICENSE"]
@@ -8,7 +8,7 @@ requires-python = ">=3.11,<4.0"
dependencies = [
"aiocqhttp>=1.4.4",
"aiofiles>=24.1.0",
"aiohttp>=3.13.4",
"aiohttp>=3.11.18",
"aioshutil>=1.5",
"aiosqlite>=0.21.0",
"anthropic>=0.51.0",
@@ -16,18 +16,18 @@ dependencies = [
"async-lru>=2.0.5",
"certifi>=2025.4.26",
"colorlog~=6.6.0",
"cryptography>=46.0.7",
"cryptography>=44.0.3",
"dashscope>=1.25.10",
"dingtalk-stream>=0.24.0",
"discord-py>=2.5.2",
"pynacl>=1.5.0", # Required for Discord voice support
"gewechat-client>=0.1.5",
"lark-oapi>=1.5.5",
"lark-oapi>=1.4.15",
"mcp>=1.25.0",
"nakuru-project-idk>=0.0.2.1",
"ollama>=0.4.8",
"openai>1.0.0",
"pillow>=12.2.0",
"pillow>=11.2.1",
"psutil>=7.0.0",
"pycryptodome>=3.22.0",
"pydantic>2.0",
@@ -35,12 +35,10 @@ dependencies = [
"python-telegram-bot>=22.0",
"pyyaml>=6.0.2",
"qq-botpy-rc>=1.2.1.6",
"qrcode>=7.4",
"quart>=0.20.0",
"quart-cors>=0.8.0",
"requests>=2.32.3",
"slack-sdk>=3.35.0",
"alembic>=1.15.0",
"sqlalchemy[asyncio]>=2.0.40",
"sqlmodel>=0.0.24",
"telegramify-markdown>=0.5.1",
@@ -51,7 +49,7 @@ dependencies = [
"pip>=25.1.1",
"ruff>=0.11.9",
"pre-commit>=4.2.0",
"uv>=0.11.6",
"uv>=0.7.11",
"mypy>=1.16.0",
"PyPDF2>=3.0.1",
"python-docx>=1.1.0",
@@ -62,18 +60,13 @@ dependencies = [
"ebooklib>=0.18",
"html2text>=2024.2.26",
"langchain>=0.2.0",
"langchain-core>=1.2.28",
"langsmith>=0.7.31",
"python-multipart>=0.0.26",
"Mako>=1.3.11",
"langchain-text-splitters>=1.1.2",
"langchain-text-splitters>=0.0.1",
"chromadb>=1.0.0,<2.0.0",
"qdrant-client (>=1.15.1,<2.0.0)",
"pyseekdb==1.1.0.post3",
"langbot-plugin==0.3.11",
"langbot-plugin==0.3.5",
"asyncpg>=0.30.0",
"line-bot-sdk>=3.19.0",
"matrix-nio>=0.25.2",
"tboxsdk>=0.0.10",
"boto3>=1.35.0",
"pymilvus>=2.6.4",
@@ -118,13 +111,12 @@ requires = ["setuptools>=61.0", "wheel"]
build-backend = "setuptools.build_meta"
[tool.setuptools]
package-data = { "langbot" = ["templates/**", "pkg/provider/modelmgr/requesters/*", "pkg/platform/sources/*", "web/dist/**", "pkg/persistence/alembic/**"] }
package-data = { "langbot" = ["templates/**", "pkg/provider/modelmgr/requesters/*", "pkg/platform/sources/*", "web/out/**"] }
[dependency-groups]
dev = [
"moto>=5.2.1",
"pre-commit>=4.2.0",
"pytest>=9.0.3",
"pytest>=8.4.1",
"pytest-asyncio>=1.0.0",
"pytest-cov>=7.0.0",
"ruff>=0.11.9",

View File

@@ -4,9 +4,6 @@ python_files = test_*.py
python_classes = Test*
python_functions = test_*
# Python path for imports
pythonpath = . tests
# Test paths
testpaths = tests
@@ -25,9 +22,7 @@ markers =
asyncio: mark test as async
unit: mark test as unit test
integration: mark test as integration test
smoke: mark test as smoke test
slow: mark test as slow running
e2e: mark test as end-to-end test (requires real LangBot process)
# Coverage options (when using pytest-cov)
[coverage:run]

View File

@@ -1,65 +0,0 @@
#!/bin/bash
# Coverage gate script
# Runs all tests with coverage, enforcing minimum coverage threshold
# Uses separate pytest invocations to avoid sys.modules pollution between test types
set -euo pipefail
echo "=== LangBot Coverage Gate ==="
echo ""
# Coverage threshold (baseline from current coverage, conservative buffer)
# Current: ~22.14%, threshold: 18%
COVERAGE_THRESHOLD=18
# Create temporary directory for coverage files
COV_DIR=$(mktemp -d)
trap "rm -rf $COV_DIR" EXIT
echo "[1/3] Running unit + smoke tests with coverage..."
uv run pytest tests/unit_tests/ tests/smoke/ \
--cov=langbot \
--cov-report=json:$COV_DIR/unit.json \
--cov-report=term-missing \
-q --tb=short
echo ""
echo "[2/3] Running fast integration tests with coverage..."
uv run pytest tests/integration/ -m "not slow" \
--cov=langbot \
--cov-report=json:$COV_DIR/integration.json \
--cov-report=term-missing \
-q --tb=short
echo ""
echo "[3/3] Combining coverage reports..."
# Use coverage combine if available, otherwise just report total
if command -v coverage &> /dev/null; then
# Combine JSON reports
coverage combine --keep $COV_DIR/unit.json $COV_DIR/integration.json \
--data-file=$COV_DIR/combined.data 2>/dev/null || true
coverage report --data-file=$COV_DIR/combined.data || true
else
echo "Note: coverage combine not available, showing individual reports above"
fi
# Generate final XML report for CI (from last run)
uv run pytest tests/unit_tests/ tests/smoke/ \
--cov=langbot \
--cov-report=xml:coverage.xml \
--cov-report=term \
--cov-fail-under=$COVERAGE_THRESHOLD \
-q 2>/dev/null || {
# If threshold check fails on combined, check unit+smoke baseline
echo ""
echo "Coverage threshold: $COVERAGE_THRESHOLD%"
echo "Note: Full coverage requires running all test types separately"
}
echo ""
echo "=== Coverage Gate Complete ==="
echo ""
echo "Coverage baseline: $COVERAGE_THRESHOLD%"
echo "Coverage report saved to coverage.xml"

View File

@@ -1,16 +0,0 @@
#!/bin/bash
# Fast integration tests
# Runs integration tests excluding slow ones (PostgreSQL, external services)
# Uses fake runner/provider, no real credentials needed
set -euo pipefail
echo "=== LangBot Fast Integration Tests ==="
echo ""
echo "Running integration tests (excluding slow)..."
uv run pytest tests/integration/ -m "not slow" -q --tb=short
echo ""
echo "=== Fast Integration Tests Complete ==="

View File

@@ -1,36 +0,0 @@
#!/bin/bash
# Quick developer self-test command
# Runs linting, unit tests, and smoke tests without requiring real provider keys
# Suitable for local branch validation
set -euo pipefail
echo "=== LangBot Quick Self-Test ==="
echo ""
# 1. Ruff check
echo "[1/3] Running ruff check..."
uv run ruff check src/langbot/ tests/ --output-format=concise || {
echo ""
echo "⚠ Ruff check found issues. Run 'uv run ruff check --fix' to auto-fix."
exit 1
}
echo "✓ Ruff check passed"
echo ""
# 2. Unit tests
echo "[2/3] Running unit tests..."
uv run pytest tests/unit_tests/ -q --tb=short
echo ""
# 3. Smoke tests (if exists)
echo "[3/3] Running smoke tests..."
if [ -d "tests/smoke" ]; then
uv run pytest tests/smoke/ -q --tb=short
else
echo "No smoke tests found, skipping"
fi
echo ""
echo "=== Quick Self-Test Complete ==="

View File

@@ -1,3 +1,3 @@
"""LangBot - Production-grade platform for building agentic IM bots"""
__version__ = '4.9.7'
__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':
@@ -481,12 +372,6 @@ class DingTalkClient:
card_data['config'] = json.dumps({'autoLayout': card_auto_layout})
card_data['content'] = ''
# 将用户的消息内容作为卡片的查询参数,方便后续处理
if incoming_message.message_type == 'text':
card_data['query'] = incoming_message.get_text_list()[0]
else:
card_data['query'] = '...'
card_instance = dingtalk_stream.AICardReplier(self.client, incoming_message)
# print(card_instance)
# 先投放卡片: https://open.dingtalk.com/document/orgapp/create-and-deliver-cards

View File

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

View File

@@ -1,10 +1,8 @@
import re
import time
import asyncio
from quart import request
import httpx
from quart import Quart
from typing import Callable, Dict, Any, Optional
from typing import Callable, Dict, Any
import langbot_plugin.api.entities.builtin.platform.events as platform_events
from .qqofficialevent import QQOfficialEvent
import json
@@ -34,8 +32,6 @@ class QQOfficialClient:
self.access_token = ''
self.access_token_expiry_time = None
self.logger = logger
self._msg_seq_counter = 0
self._token_refresh_task: Optional[asyncio.Task] = None
async def check_access_token(self):
"""检查access_token是否存在"""
@@ -54,18 +50,18 @@ class QQOfficialClient:
headers = {
'content-type': 'application/json',
}
response = await client.post(url, json=params, headers=headers)
if response.status_code != 200:
raise Exception(f'Failed to get access_token: HTTP {response.status_code} {response.text}')
response_data = response.json()
access_token = response_data.get('access_token')
expires_in = int(response_data.get('expires_in', 7200))
self.access_token_expiry_time = time.time() + expires_in - 60
if access_token:
self.access_token = access_token
await self.logger.info(f'access_token obtained, expires_in={expires_in}s')
else:
raise Exception('Failed to get access_token: no access_token in response')
try:
response = await client.post(url, json=params, headers=headers)
if response.status_code == 200:
response_data = response.json()
access_token = response_data.get('access_token')
expires_in = int(response_data.get('expires_in', 7200))
self.access_token_expiry_time = time.time() + expires_in - 60
if access_token:
self.access_token = access_token
except Exception as e:
await self.logger.error(f'获取access_token失败: {response_data}')
raise Exception(f'获取access_token失败: {e}')
async def handle_callback_request(self):
"""处理回调请求(独立端口模式,使用全局 request"""
@@ -91,10 +87,10 @@ class QQOfficialClient:
try:
body = await req.get_data()
await self.logger.info(f'Received request, body length: {len(body)}')
print(f'[QQ Official] Received request, body length: {len(body)}')
if not body or len(body) == 0:
await self.logger.info('Received empty body, might be health check or GET request')
print('[QQ Official] Received empty body, might be health check or GET request')
return {'code': 0, 'message': 'ok'}, 200
payload = json.loads(body)
@@ -115,6 +111,7 @@ class QQOfficialClient:
return {'code': 0, 'message': 'success'}
except Exception as e:
print(f'[QQ Official] ERROR: {traceback.format_exc()}')
await self.logger.error(f'Error in handle_callback_request: {traceback.format_exc()}')
return {'error': str(e)}, 400
@@ -142,24 +139,21 @@ class QQOfficialClient:
async def get_message(self, msg: dict) -> Dict[str, Any]:
"""获取消息"""
d = msg.get('d', {})
if not isinstance(d, dict):
return {}
message_data = {
't': msg.get('t', {}),
'user_openid': d.get('author', {}).get('user_openid', {}),
'timestamp': d.get('timestamp', {}),
'd_author_id': d.get('author', {}).get('id', {}),
'content': d.get('content', {}),
'd_id': d.get('id', {}),
'user_openid': msg.get('d', {}).get('author', {}).get('user_openid', {}),
'timestamp': msg.get('d', {}).get('timestamp', {}),
'd_author_id': msg.get('d', {}).get('author', {}).get('id', {}),
'content': msg.get('d', {}).get('content', {}),
'd_id': msg.get('d', {}).get('id', {}),
'id': msg.get('id', {}),
'channel_id': d.get('channel_id', {}),
'username': d.get('author', {}).get('username', {}),
'guild_id': d.get('guild_id', {}),
'member_openid': d.get('author', {}).get('openid', {}),
'group_openid': d.get('group_openid', {}),
'channel_id': msg.get('d', {}).get('channel_id', {}),
'username': msg.get('d', {}).get('author', {}).get('username', {}),
'guild_id': msg.get('d', {}).get('guild_id', {}),
'member_openid': msg.get('d', {}).get('author', {}).get('openid', {}),
'group_openid': msg.get('d', {}).get('group_openid', {}),
}
attachments = d.get('attachments', [])
attachments = msg.get('d', {}).get('attachments', [])
image_attachments = [attachment['url'] for attachment in attachments if await self.is_image(attachment)]
image_attachments_type = [
attachment['content_type'] for attachment in attachments if await self.is_image(attachment)
@@ -198,7 +192,7 @@ class QQOfficialClient:
if response.status_code == 200:
return
else:
await self.logger.error(f'Failed to send private message: {response_data}')
await self.logger.error(f'发送私聊消息失败: {response_data}')
raise ValueError(response)
async def send_group_text_msg(self, group_openid: str, content: str, msg_id: str):
@@ -221,7 +215,7 @@ class QQOfficialClient:
if response.status_code == 200:
return
else:
await self.logger.error(f'Failed to send group message: {response.json()}')
await self.logger.error(f'发送群聊消息失败:{response.json()}')
raise Exception(response.read().decode())
async def send_channle_group_text_msg(self, channel_id: str, content: str, msg_id: str):
@@ -244,7 +238,7 @@ class QQOfficialClient:
if response.status_code == 200:
return True
else:
await self.logger.error(f'Failed to send channel group message: {response.json()}')
await self.logger.error(f'发送频道群聊消息失败: {response.json()}')
raise Exception(response)
async def send_channle_private_text_msg(self, guild_id: str, content: str, msg_id: str):
@@ -267,224 +261,9 @@ class QQOfficialClient:
if response.status_code == 200:
return True
else:
await self.logger.error(f'Failed to send channel private message: {response.json()}')
await self.logger.error(f'发送频道私聊消息失败: {response.json()}')
raise Exception(response)
# ---- 富媒体消息 ----
# 媒体文件类型
MEDIA_TYPE_IMAGE = 1
MEDIA_TYPE_VIDEO = 2
MEDIA_TYPE_VOICE = 3
MEDIA_TYPE_FILE = 4
async def upload_media(
self,
target_type: str,
target_id: str,
file_type: int,
file_url: str = None,
file_data: str = None,
file_name: str = None,
) -> str:
"""上传媒体文件,返回 file_info。
Args:
target_type: 'c2c' | 'group'
target_id: 用户 openid 或群 openid
file_type: 1=图片, 2=视频, 3=语音, 4=文件
file_url: 在线 URL与 file_data 二选一)
file_data: base64 编码的文件数据或 data URL与 file_url 二选一)
file_name: 文件名file_type=4 时必填)
"""
if not await self.check_access_token():
await self.get_access_token()
if target_type == 'c2c':
url = f'{self.base_url}/v2/users/{target_id}/files'
elif target_type == 'group':
url = f'{self.base_url}/v2/groups/{target_id}/files'
else:
raise ValueError(f'Unsupported target_type: {target_type}')
body = {
'file_type': file_type,
'srv_send_msg': False,
}
if file_url:
body['url'] = file_url
elif file_data:
# 处理 data URL 格式: data:image/png;base64,xxxxx
if file_data.startswith('data:'):
match = re.match(r'^data:[^;]+;base64,(.+)$', file_data, re.DOTALL)
if match:
body['file_data'] = match.group(1)
else:
body['file_data'] = file_data
else:
body['file_data'] = file_data
else:
raise ValueError('file_url or file_data is required')
if file_type == self.MEDIA_TYPE_FILE and file_name:
body['file_name'] = file_name
async with httpx.AsyncClient(timeout=120) as client:
headers = {
'Authorization': f'QQBot {self.access_token}',
'Content-Type': 'application/json',
}
response = await client.post(url, headers=headers, json=body)
if response.status_code == 200:
data = response.json()
file_info = data.get('file_info', '')
preview = file_info[:80] + '...' if len(file_info) > 80 else file_info
await self.logger.info(f'Upload media success, file_info={preview}')
return file_info
else:
raise Exception(f'Failed to upload media: HTTP {response.status_code} {response.text}')
async def _send_media_msg(
self,
target_type: str,
target_id: str,
file_info: str,
msg_id: str = None,
content: str = None,
):
"""发送富媒体消息msg_type=7"""
if not await self.check_access_token():
await self.get_access_token()
if target_type == 'c2c':
url = f'{self.base_url}/v2/users/{target_id}/messages'
elif target_type == 'group':
url = f'{self.base_url}/v2/groups/{target_id}/messages'
else:
raise ValueError(f'Unsupported target_type: {target_type}')
self._msg_seq_counter += 1
msg_seq = self._msg_seq_counter
body = {
'msg_type': 7,
'media': {'file_info': file_info},
'msg_seq': msg_seq,
}
if content:
body['content'] = content
if msg_id:
body['msg_id'] = msg_id
async with httpx.AsyncClient(timeout=120) as client:
headers = {
'Authorization': f'QQBot {self.access_token}',
'Content-Type': 'application/json',
}
await self.logger.info(f'Sending rich media: {json.dumps(body, ensure_ascii=False)[:200]}')
response = await client.post(url, headers=headers, json=body)
if response.status_code != 200:
raise Exception(f'Failed to send rich media message: HTTP {response.status_code} {response.text}')
async def send_image_msg(
self,
target_type: str,
target_id: str,
file_url: str = None,
file_data: str = None,
msg_id: str = None,
content: str = None,
):
"""发送图片消息"""
file_info = await self.upload_media(
target_type,
target_id,
self.MEDIA_TYPE_IMAGE,
file_url=file_url,
file_data=file_data,
)
await self._send_media_msg(target_type, target_id, file_info, msg_id, content)
async def send_voice_msg(
self,
target_type: str,
target_id: str,
file_url: str = None,
file_data: str = None,
msg_id: str = None,
):
"""发送语音消息"""
file_info = await self.upload_media(
target_type,
target_id,
self.MEDIA_TYPE_VOICE,
file_url=file_url,
file_data=file_data,
)
await self._send_media_msg(target_type, target_id, file_info, msg_id)
async def send_file_msg(
self,
target_type: str,
target_id: str,
file_url: str = None,
file_data: str = None,
file_name: str = None,
msg_id: str = None,
):
"""发送文件消息(含视频)"""
file_info = await self.upload_media(
target_type,
target_id,
self.MEDIA_TYPE_FILE,
file_url=file_url,
file_data=file_data,
file_name=file_name,
)
await self._send_media_msg(target_type, target_id, file_info, msg_id)
async def send_stream_msg(
self,
user_openid: str,
content: str,
event_id: str,
msg_id: str,
msg_seq: int = 1,
index: int = 0,
stream_msg_id: str = None,
input_state: int = 1,
):
"""发送流式消息C2C 私聊)。
Args:
input_state: 1=生成中, 10=生成结束
"""
if not await self.check_access_token():
await self.get_access_token()
url = f'{self.base_url}/v2/users/{user_openid}/stream_messages'
body = {
'input_mode': 'replace',
'input_state': input_state,
'content_type': 'markdown',
'content_raw': content,
'event_id': event_id,
'msg_id': msg_id,
'msg_seq': msg_seq,
'index': index,
}
if stream_msg_id:
body['stream_msg_id'] = stream_msg_id
async with httpx.AsyncClient(timeout=120) as client:
headers = {
'Authorization': f'QQBot {self.access_token}',
'Content-Type': 'application/json',
}
response = await client.post(url, headers=headers, json=body)
if response.status_code != 200:
raise Exception(f'Failed to send stream message: HTTP {response.status_code} {response.text}')
return response.json()
async def is_token_expired(self):
"""检查token是否过期"""
if self.access_token_expiry_time is None:
@@ -513,325 +292,3 @@ class QQOfficialClient:
'signature': signature,
}
return response
# ---- WebSocket Gateway ----
# Reference: https://bot.q.qq.com/wiki/develop/api-v2/dev-prepare/interface-framework/event-emit.html
INTENT_GUILDS = 1 << 0
INTENT_GUILD_MEMBERS = 1 << 1
INTENT_PUBLIC_GUILD_MESSAGES = 1 << 30
INTENT_DIRECT_MESSAGE = 1 << 12
INTENT_GROUP_AND_C2C = 1 << 25
INTENT_INTERACTION = 1 << 26
FULL_INTENTS = (
INTENT_GUILDS
| INTENT_GUILD_MEMBERS
| INTENT_PUBLIC_GUILD_MESSAGES
| INTENT_DIRECT_MESSAGE
| INTENT_GROUP_AND_C2C
| INTENT_INTERACTION
)
async def get_gateway_url(self) -> str:
"""获取 WebSocket 网关地址"""
if not await self.check_access_token():
await self.get_access_token()
url = f'{self.base_url}/gateway'
async with httpx.AsyncClient() as client:
headers = {
'Authorization': f'QQBot {self.access_token}',
}
response = await client.get(url, headers=headers)
if response.status_code == 200:
data = response.json()
ws_url = data.get('url', '')
if not ws_url:
raise Exception('Gateway URL is empty')
return ws_url
else:
raise Exception(f'Failed to get Gateway URL: HTTP {response.status_code} {response.text}')
async def _background_token_refresh(self):
"""在 token 到期前主动刷新"""
try:
while True:
if self.access_token_expiry_time:
remain = self.access_token_expiry_time - time.time()
if remain > 120:
await asyncio.sleep(remain - 60)
continue
self.access_token = ''
self.access_token_expiry_time = None
if await self.check_access_token():
await asyncio.sleep(60)
else:
await self.get_access_token()
await asyncio.sleep(60)
except asyncio.CancelledError:
pass
async def connect_gateway(
self,
on_event: Callable[[str, dict], Any],
on_ready: Optional[Callable[[], Any]] = None,
on_error: Optional[Callable[[Exception], Any]] = None,
):
"""WebSocket 网关连接,含重连逻辑。持续重连直到达到最大次数或被取消。
Args:
on_event: 收到 op=0 Dispatch 事件时的回调,参数为 (event_type, event_data)
on_ready: 连接就绪 (收到 READY) 时的回调
on_error: 发生错误时的回调
"""
import websockets
session_id = ''
last_seq = 0
reconnect_attempts = 0
max_reconnect_attempts = 100
backoff_delays = [1, 2, 5, 10, 30, 60]
rate_limit_delay = 60
# Cancel previous token refresh task if any
if self._token_refresh_task and not self._token_refresh_task.done():
self._token_refresh_task.cancel()
try:
await self._token_refresh_task
except asyncio.CancelledError:
pass
self._token_refresh_task = None
while reconnect_attempts <= max_reconnect_attempts:
heartbeat_interval = 45000
should_refresh_token = False
ws = None
heartbeat_task = None
# Refresh token if needed
if should_refresh_token:
self.access_token = ''
self.access_token_expiry_time = None
try:
ws_url = await self.get_gateway_url()
await self.logger.info(f'Gateway URL obtained: {ws_url[:60]}...')
except Exception as e:
error_msg = str(e)
await self.logger.error(f'Failed to get gateway URL: {e}')
reconnect_attempts += 1
if '100017' in error_msg or '频率' in error_msg or 'Too many' in error_msg:
delay = rate_limit_delay
else:
delay = backoff_delays[min(reconnect_attempts - 1, len(backoff_delays) - 1)]
await self.logger.info(f'Reconnecting in {delay}s (attempt {reconnect_attempts})')
await asyncio.sleep(delay)
continue
try:
await self.logger.info('Connecting to WebSocket gateway...')
ws = await websockets.connect(ws_url)
await self.logger.info('WebSocket connected')
except Exception as e:
await self.logger.error(f'WebSocket connection failed: {e}')
reconnect_attempts += 1
delay = backoff_delays[min(reconnect_attempts - 1, len(backoff_delays) - 1)]
await self.logger.info(f'Reconnecting in {delay}s (attempt {reconnect_attempts})')
await asyncio.sleep(delay)
continue
try:
async for raw_msg in ws:
try:
payload = json.loads(raw_msg)
except json.JSONDecodeError:
await self.logger.error(f'Failed to parse message: {raw_msg}')
continue
op = payload.get('op')
d = payload.get('d', {})
s = payload.get('s')
t = payload.get('t')
if not isinstance(d, dict):
d = {}
if op == 10: # Hello
heartbeat_interval = d.get('heartbeat_interval', 45000)
await self.logger.info(f'Received Hello, heartbeat_interval={heartbeat_interval}ms')
# Send Identify or Resume
if session_id and last_seq > 0:
resume_payload = {
'op': 6,
'd': {
'token': f'QQBot {self.access_token}',
'session_id': session_id,
'seq': last_seq,
},
}
await ws.send(json.dumps(resume_payload))
await self.logger.info(f'Sent Resume, session_id={session_id}, seq={last_seq}')
else:
identify_payload = {
'op': 2,
'd': {
'token': f'QQBot {self.access_token}',
'intents': self.FULL_INTENTS,
'shard': [0, 1],
},
}
await ws.send(json.dumps(identify_payload))
await self.logger.info(f'Sent Identify, intents={self.FULL_INTENTS}')
# Start heartbeat
async def _heartbeat_loop(conn, interval_ms):
interval_sec = interval_ms / 1000.0
try:
while True:
await asyncio.sleep(interval_sec)
try:
hb_payload = {'op': 1, 'd': last_seq}
await conn.send(json.dumps(hb_payload))
except Exception:
break
except asyncio.CancelledError:
pass
heartbeat_task = asyncio.create_task(_heartbeat_loop(ws, heartbeat_interval))
elif op == 0: # Dispatch
if s is not None:
last_seq = s
if t == 'READY':
session_id = d.get('session_id', '')
reconnect_attempts = 0
await self.logger.info(f'READY, session_id={session_id}')
if on_ready:
try:
result = on_ready()
if asyncio.iscoroutine(result):
await result
except Exception:
pass
# Track token refresh task to avoid leaks
if self._token_refresh_task and not self._token_refresh_task.done():
self._token_refresh_task.cancel()
try:
await self._token_refresh_task
except asyncio.CancelledError:
pass
self._token_refresh_task = asyncio.create_task(self._background_token_refresh())
elif t == 'RESUMED':
reconnect_attempts = 0
await self.logger.info('RESUMED')
else:
await self.logger.debug(f'Received event: {t}, seq={s}')
if on_event:
try:
result = on_event(t, d)
if asyncio.iscoroutine(result):
await result
except Exception:
await self.logger.error(f'Error handling event {t}: {traceback.format_exc()}')
elif op == 11: # Heartbeat ACK
pass
elif op == 7: # Reconnect
await self.logger.info('Received Reconnect directive')
break
elif op == 9: # Invalid Session
can_resume = d.get('can_resume', False)
await self.logger.warning(f'Invalid Session, can_resume={can_resume}')
if not can_resume:
session_id = ''
last_seq = 0
should_refresh_token = True
break
# Connection closed normally (end of async for)
try:
close_code = ws.close_code
close_reason = ws.close_reason or ''
except Exception:
close_code = None
close_reason = ''
await self.logger.info(f'Connection closed, code={close_code}, reason={close_reason}')
if close_code == 4004:
should_refresh_token = True
elif close_code in (4006, 4007, 4009):
session_id = ''
last_seq = 0
should_refresh_token = True
elif close_code == 4008:
reconnect_attempts += 1
delay = rate_limit_delay
await self.logger.info(
f'Rate limited, waiting {delay}s before reconnect (attempt {reconnect_attempts})'
)
await asyncio.sleep(delay)
continue
elif close_code in (4914, 4915):
err = Exception(f'Bot disconnected/banned (close_code={close_code})')
if on_error:
await self._safe_callback(on_error, err)
return
elif close_code in (4900, 4901, 4902, 4903, 4904, 4905, 4906, 4907, 4908, 4909, 4910, 4911, 4912, 4913):
session_id = ''
last_seq = 0
if close_code == 1000:
return
except asyncio.CancelledError:
raise
except Exception:
await self.logger.error(f'Unexpected error in WebSocket loop: {traceback.format_exc()}')
finally:
if heartbeat_task:
heartbeat_task.cancel()
try:
await heartbeat_task
except asyncio.CancelledError:
pass
if ws:
try:
await ws.close()
except Exception:
pass
# If we reach here, we need to reconnect
reconnect_attempts += 1
if reconnect_attempts > max_reconnect_attempts:
await self.logger.error(f'Max reconnect attempts ({max_reconnect_attempts}) reached, stopping')
if on_error:
await self._safe_callback(on_error, Exception('Max reconnect attempts reached'))
return
delay = backoff_delays[min(reconnect_attempts - 1, len(backoff_delays) - 1)]
await self.logger.info(f'Reconnecting in {delay}s (attempt {reconnect_attempts})')
await asyncio.sleep(delay)
async def _safe_callback(self, callback, *args):
"""Safely invoke a callback, handling both sync and async functions."""
try:
result = callback(*args)
if asyncio.iscoroutine(result):
await result
except Exception:
pass
async def connect_gateway_loop(
self,
on_event: Callable[[str, dict], Any],
on_ready: Optional[Callable[[], Any]] = None,
on_error: Optional[Callable[[Exception], Any]] = None,
):
"""持续重连的网关循环。"""
await self.connect_gateway(on_event, on_ready, on_error)

View File

@@ -71,11 +71,6 @@ class StreamSession:
class StreamSessionManager:
"""管理 stream 会话的生命周期,并负责队列的生产消费。"""
# Sessions with registered feedback_ids use a longer TTL to survive the
# full like → cancel → dislike feedback flow. Must align with the adapter's
# _stream_to_monitoring_msg TTL (wecombot.py).
_FEEDBACK_SESSION_TTL = 600 # 10 minutes
def __init__(self, logger: EventLogger, ttl: int = 60) -> None:
self.logger = logger
@@ -219,17 +214,11 @@ class StreamSessionManager:
session.last_access = time.time()
def cleanup(self) -> None:
"""定期清理过期会话,防止队列与映射无上限累积。
已注册 feedback_id 的会话使用更长的 TTL确保用户在点赞/取消/点踩流程中
不会因为 session 被提前清除而丢失上下文信息。
"""
"""定期清理过期会话,防止队列与映射无上限累积。"""
now = time.time()
expired: list[str] = []
for stream_id, session in self._sessions.items():
# Sessions with registered feedback_ids use a longer TTL
effective_ttl = self._FEEDBACK_SESSION_TTL if session.feedback_id else self.ttl
if now - session.last_access > effective_ttl:
if now - session.last_access > self.ttl:
expired.append(stream_id)
for stream_id in expired:
@@ -239,9 +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:
@@ -448,10 +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')
@@ -463,12 +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 {}
@@ -482,15 +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', {})
@@ -606,120 +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
@@ -1031,38 +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

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

View File

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

View File

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

View File

@@ -6,48 +6,11 @@ import re
import httpx
import uuid
import os
import posixpath
from .....core import taskmgr
from .. import group
from langbot_plugin.runtime.plugin.mgr import PluginInstallSource
# Resolve the built-in page SDK JS from the langbot_plugin package
_PAGE_SDK_PATH = None
try:
import langbot_plugin.assets as _assets_pkg
_candidate = os.path.join(os.path.dirname(_assets_pkg.__file__), 'langbot-page-sdk.js')
if os.path.exists(_candidate):
_PAGE_SDK_PATH = _candidate
except Exception:
pass
def _normalize_plugin_asset_path(filepath: str) -> str | None:
filepath = filepath.replace('\\', '/')
if filepath.startswith('/'):
return None
normalized = posixpath.normpath(filepath)
if normalized == '.' or normalized.startswith('../') or normalized == '..':
return None
if normalized.startswith('components/pages/'):
return normalized
return f'assets/{normalized}'
def _get_request_origin() -> str:
"""Return the public request origin, respecting reverse-proxy headers."""
forwarded_proto = quart.request.headers.get('X-Forwarded-Proto', '').split(',')[0].strip()
forwarded_host = quart.request.headers.get('X-Forwarded-Host', '').split(',')[0].strip()
scheme = forwarded_proto or quart.request.scheme
host = forwarded_host or quart.request.host
return f'{scheme}://{host}'
@group.group_class('plugins', '/api/v1/plugins')
class PluginsRouterGroup(group.RouterGroup):
@@ -64,15 +27,6 @@ class PluginsRouterGroup(group.RouterGroup):
return None
async def initialize(self) -> None:
@self.route('/_sdk/page-sdk.js', methods=['GET'], auth_type=group.AuthType.NONE)
async def _() -> quart.Response:
"""Serve the built-in LangBot page SDK JavaScript."""
if _PAGE_SDK_PATH and os.path.exists(_PAGE_SDK_PATH):
with open(_PAGE_SDK_PATH, 'r') as f:
content = f.read()
return quart.Response(content, mimetype='application/javascript')
return quart.Response('// SDK not found', status=404, mimetype='application/javascript')
@self.route('', methods=['GET'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY)
async def _() -> str:
plugins = await self.ap.plugin_connector.list_plugins()
@@ -181,62 +135,15 @@ class PluginsRouterGroup(group.RouterGroup):
return quart.Response(icon_data, mimetype=mime_type)
@self.route(
'/<author>/<plugin_name>/assets/<path:filepath>',
'/<author>/<plugin_name>/assets/<filepath>',
methods=['GET'],
auth_type=group.AuthType.NONE,
)
async def _(author: str, plugin_name: str, filepath: str) -> quart.Response:
asset_path = _normalize_plugin_asset_path(filepath)
if asset_path is None:
return quart.Response('Asset not found', status=404)
asset_data = await self.ap.plugin_connector.get_plugin_assets(author, plugin_name, asset_path)
if not asset_data.get('asset_base64'):
return quart.Response('Asset not found', status=404)
asset_data = await self.ap.plugin_connector.get_plugin_assets(author, plugin_name, filepath)
asset_bytes = base64.b64decode(asset_data['asset_base64'])
mime_type = asset_data['mime_type']
resp = quart.Response(asset_bytes, mimetype=mime_type)
# CSP for HTML pages served to sandboxed iframes (opaque origin).
# 'self' doesn't work in sandboxed iframes — use actual server origin.
if mime_type and mime_type.startswith('text/html'):
origin = _get_request_origin()
resp.headers['Content-Security-Policy'] = (
f'default-src {origin}; '
f"script-src {origin} 'unsafe-inline'; "
f"style-src {origin} 'unsafe-inline'; "
f'img-src {origin} data:; '
f'connect-src {origin}; '
"frame-src 'none'; "
"object-src 'none'"
)
return resp
@self.route(
'/<author>/<plugin_name>/page-api',
methods=['POST'],
auth_type=group.AuthType.USER_TOKEN_OR_API_KEY,
)
async def _(author: str, plugin_name: str) -> str:
"""Forward a page API request to the plugin."""
data = await quart.request.json
if not isinstance(data, dict):
return self.http_status(400, -1, 'invalid request body')
page_id = data.get('page_id', '')
endpoint = data.get('endpoint', '')
method = data.get('method', 'POST')
body = data.get('body')
if not isinstance(page_id, str) or not isinstance(endpoint, str) or not isinstance(method, str):
return self.http_status(400, -1, 'invalid page api request')
if not endpoint.startswith('/') or '..' in endpoint:
return self.http_status(400, -1, 'invalid endpoint')
result = await self.ap.plugin_connector.handle_page_api(
author, plugin_name, page_id, endpoint, method.upper(), body
)
if result.get('error'):
return self.http_status(400, -1, result['error'])
return self.success(data=result.get('data'))
return quart.Response(asset_bytes, mimetype=mime_type)
@self.route('/github/releases', methods=['POST'], auth_type=group.AuthType.USER_TOKEN_OR_API_KEY)
async def _() -> str:

View File

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

View File

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

View File

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

View File

@@ -136,10 +136,6 @@ class SystemRouterGroup(group.RouterGroup):
return self.success(data=task.to_dict())
@self.route('/storage-analysis', methods=['GET'], auth_type=group.AuthType.USER_TOKEN)
async def _() -> str:
return self.success(data=await self.ap.maintenance_service.get_storage_analysis())
@self.route('/debug/exec', methods=['POST'], auth_type=group.AuthType.USER_TOKEN)
async def _() -> str:
if not constants.debug_mode:

View File

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

View File

@@ -105,24 +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

@@ -52,9 +52,6 @@ class ApiKeyService:
async def verify_api_key(self, key: str) -> bool:
"""Verify if an API key is valid"""
if not isinstance(key, str) or not key.startswith('lbk_'):
return False
result = await self.ap.persistence_mgr.execute_async(
sqlalchemy.select(apikey.ApiKey).where(apikey.ApiKey.key == key)
)

View File

@@ -99,11 +99,11 @@ class BotService:
# TODO: 检查配置信息格式
bot_data['uuid'] = str(uuid.uuid4())
# bind the most recently updated pipeline if any exist
# checkout the default pipeline
result = await self.ap.persistence_mgr.execute_async(
sqlalchemy.select(persistence_pipeline.LegacyPipeline)
.order_by(persistence_pipeline.LegacyPipeline.updated_at.desc())
.limit(1)
sqlalchemy.select(persistence_pipeline.LegacyPipeline).where(
persistence_pipeline.LegacyPipeline.is_default == True
)
)
pipeline = result.first()
if pipeline is not None:
@@ -120,26 +120,24 @@ class BotService:
async def update_bot(self, bot_uuid: str, bot_data: dict) -> None:
"""Update bot"""
update_data = bot_data.copy()
if 'uuid' in update_data:
del update_data['uuid']
if 'uuid' in bot_data:
del bot_data['uuid']
# set use_pipeline_name
if 'use_pipeline_uuid' in update_data:
if 'use_pipeline_uuid' in bot_data:
result = await self.ap.persistence_mgr.execute_async(
sqlalchemy.select(persistence_pipeline.LegacyPipeline).where(
persistence_pipeline.LegacyPipeline.uuid == update_data['use_pipeline_uuid']
persistence_pipeline.LegacyPipeline.uuid == bot_data['use_pipeline_uuid']
)
)
pipeline = result.first()
if pipeline is not None:
update_data['use_pipeline_name'] = pipeline.name
bot_data['use_pipeline_name'] = pipeline.name
else:
raise Exception('Pipeline not found')
await self.ap.persistence_mgr.execute_async(
sqlalchemy.update(persistence_bot.Bot).values(update_data).where(persistence_bot.Bot.uuid == bot_uuid)
sqlalchemy.update(persistence_bot.Bot).values(bot_data).where(persistence_bot.Bot.uuid == bot_uuid)
)
await self.ap.platform_mgr.remove_bot(bot_uuid)

View File

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

View File

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

View File

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

View File

@@ -18,119 +18,55 @@ class MonitoringService:
# ========== Cleanup Methods ==========
async def cleanup_expired_records(self, retention_days: int, batch_size: int = 1000) -> dict[str, int]:
async def cleanup_expired_records(self, retention_days: int) -> dict[str, int]:
"""Delete monitoring records older than the specified retention period.
Args:
retention_days: Number of days to retain records.
batch_size: Maximum rows to delete per table batch.
Returns:
A dict mapping table name to the number of deleted rows.
"""
if retention_days < 1:
raise ValueError('retention_days must be >= 1')
if batch_size < 1:
raise ValueError('batch_size must be >= 1')
cutoff = datetime.datetime.now(datetime.timezone.utc).replace(tzinfo=None) - datetime.timedelta(
days=retention_days
)
tables_and_columns: list[tuple[str, type, sqlalchemy.Column, sqlalchemy.Column]] = [
tables_and_columns: list[tuple[str, type, sqlalchemy.Column]] = [
(
'monitoring_messages',
persistence_monitoring.MonitoringMessage,
persistence_monitoring.MonitoringMessage.timestamp,
persistence_monitoring.MonitoringMessage.id,
),
(
'monitoring_llm_calls',
persistence_monitoring.MonitoringLLMCall,
persistence_monitoring.MonitoringLLMCall.timestamp,
persistence_monitoring.MonitoringLLMCall.id,
),
(
'monitoring_embedding_calls',
persistence_monitoring.MonitoringEmbeddingCall,
persistence_monitoring.MonitoringEmbeddingCall.timestamp,
persistence_monitoring.MonitoringEmbeddingCall.id,
),
(
'monitoring_errors',
persistence_monitoring.MonitoringError,
persistence_monitoring.MonitoringError.timestamp,
persistence_monitoring.MonitoringError.id,
),
(
'monitoring_sessions',
persistence_monitoring.MonitoringSession,
persistence_monitoring.MonitoringSession.last_activity,
persistence_monitoring.MonitoringSession.session_id,
),
(
'monitoring_feedback',
persistence_monitoring.MonitoringFeedback,
persistence_monitoring.MonitoringFeedback.timestamp,
persistence_monitoring.MonitoringFeedback.id,
),
]
deleted_counts: dict[str, int] = {}
for table_name, model_cls, ts_column, pk_column in tables_and_columns:
deleted_counts[table_name] = await self._delete_expired_in_batches(
model_cls=model_cls,
ts_column=ts_column,
pk_column=pk_column,
cutoff=cutoff,
batch_size=batch_size,
)
if sum(deleted_counts.values()) > 0:
await self._release_sqlite_space()
for table_name, model_cls, ts_column in tables_and_columns:
result = await self.ap.persistence_mgr.execute_async(sqlalchemy.delete(model_cls).where(ts_column < cutoff))
deleted_counts[table_name] = result.rowcount
return deleted_counts
async def _delete_expired_in_batches(
self,
model_cls: type,
ts_column: sqlalchemy.Column,
pk_column: sqlalchemy.Column,
cutoff: datetime.datetime,
batch_size: int,
) -> int:
deleted_total = 0
while True:
select_result = await self.ap.persistence_mgr.execute_async(
sqlalchemy.select(pk_column).where(ts_column < cutoff).limit(batch_size)
)
pk_values = list(select_result.scalars().all())
if not pk_values:
break
delete_result = await self.ap.persistence_mgr.execute_async(
sqlalchemy.delete(model_cls).where(pk_column.in_(pk_values))
)
deleted = delete_result.rowcount or 0
deleted_total += deleted
if len(pk_values) < batch_size:
break
return deleted_total
async def _release_sqlite_space(self) -> None:
database_type = self.ap.instance_config.data.get('database', {}).get('use', 'sqlite')
if database_type != 'sqlite':
return
async with self.ap.persistence_mgr.get_db_engine().connect() as conn:
autocommit_conn = await conn.execution_options(isolation_level='AUTOCOMMIT')
await autocommit_conn.execute(sqlalchemy.text('PRAGMA wal_checkpoint(TRUNCATE)'))
await autocommit_conn.execute(sqlalchemy.text('VACUUM'))
# ========== Recording Methods ==========
async def record_message(
@@ -1288,83 +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,
@@ -1418,19 +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))
@@ -1541,9 +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

@@ -113,9 +113,14 @@ class PipelineService:
return pipeline_data['uuid']
async def update_pipeline(self, pipeline_uuid: str, pipeline_data: dict) -> None:
pipeline_data = pipeline_data.copy()
for protected_field in ('uuid', 'for_version', 'stages', 'is_default'):
pipeline_data.pop(protected_field, None)
if 'uuid' in pipeline_data:
del pipeline_data['uuid']
if 'for_version' in pipeline_data:
del pipeline_data['for_version']
if 'stages' in pipeline_data:
del pipeline_data['stages']
if 'is_default' in pipeline_data:
del pipeline_data['is_default']
await self.ap.persistence_mgr.execute_async(
sqlalchemy.update(persistence_pipeline.LegacyPipeline)

View File

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

View File

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

View File

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

View File

@@ -31,7 +31,6 @@ from ..api.http.service import mcp as mcp_service
from ..api.http.service import apikey as apikey_service
from ..api.http.service import webhook as webhook_service
from ..api.http.service import monitoring as monitoring_service
from ..api.http.service import maintenance as maintenance_service
from ..discover import engine as discover_engine
from ..storage import mgr as storagemgr
@@ -134,8 +133,6 @@ class Application:
embedding_models_service: model_service.EmbeddingModelsService = None
rerank_models_service: model_service.RerankModelsService = None
provider_service: provider_service.ModelProviderService = None
pipeline_service: pipeline_service.PipelineService = None
@@ -156,8 +153,6 @@ class Application:
monitoring_service: monitoring_service.MonitoringService = None
maintenance_service: maintenance_service.MaintenanceService = None
def __init__(self):
pass
@@ -197,30 +192,14 @@ class Application:
monitoring_cfg = self.instance_config.data.get('monitoring', {})
auto_cleanup_cfg = monitoring_cfg.get('auto_cleanup', {})
if auto_cleanup_cfg.get('enabled', True):
retention_days = self._get_positive_int_config(
auto_cleanup_cfg.get('retention_days', 30),
default=30,
name='monitoring.auto_cleanup.retention_days',
)
delete_batch_size = self._get_positive_int_config(
auto_cleanup_cfg.get('delete_batch_size', 1000),
default=1000,
name='monitoring.auto_cleanup.delete_batch_size',
)
check_interval_hours = self._get_positive_float_config(
auto_cleanup_cfg.get('check_interval_hours', 1),
default=1,
name='monitoring.auto_cleanup.check_interval_hours',
)
retention_days = auto_cleanup_cfg.get('retention_days', 30)
check_interval_hours = auto_cleanup_cfg.get('check_interval_hours', 1)
async def monitoring_cleanup_loop():
check_interval_seconds = check_interval_hours * 3600
while True:
try:
deleted = await self.monitoring_service.cleanup_expired_records(
retention_days,
batch_size=delete_batch_size,
)
deleted = await self.monitoring_service.cleanup_expired_records(retention_days)
total_deleted = sum(deleted.values())
if total_deleted > 0:
self.logger.info(
@@ -237,33 +216,6 @@ class Application:
scopes=[core_entities.LifecycleControlScope.APPLICATION],
)
# Start storage/log maintenance task if enabled
storage_cleanup_cfg = self.instance_config.data.get('storage', {}).get('cleanup', {})
if storage_cleanup_cfg.get('enabled', True) and self.maintenance_service is not None:
check_interval_hours = self._get_positive_float_config(
storage_cleanup_cfg.get('check_interval_hours', 1),
default=1,
name='storage.cleanup.check_interval_hours',
)
async def storage_cleanup_loop():
check_interval_seconds = check_interval_hours * 3600
while True:
try:
deleted = await self.maintenance_service.cleanup_expired_files()
total_deleted = sum(deleted.values())
if total_deleted > 0:
self.logger.info(f'Storage maintenance: deleted expired files: {deleted}')
except Exception as e:
self.logger.warning(f'Storage maintenance error: {e}')
await asyncio.sleep(check_interval_seconds)
self.task_mgr.create_task(
storage_cleanup_loop(),
name='storage-maintenance',
scopes=[core_entities.LifecycleControlScope.APPLICATION],
)
self.task_mgr.create_task(
never_ending(),
name='never-ending-task',
@@ -278,28 +230,6 @@ class Application:
self.logger.error(f'Application runtime fatal exception: {e}')
self.logger.debug(f'Traceback: {traceback.format_exc()}')
def _get_positive_int_config(self, value, default: int, name: str) -> int:
try:
parsed = int(value)
except (TypeError, ValueError):
self.logger.warning(f'Invalid {name}: {value!r}, using {default}')
return default
if parsed < 1:
self.logger.warning(f'Invalid {name}: {value!r}, using {default}')
return default
return parsed
def _get_positive_float_config(self, value, default: float, name: str) -> float:
try:
parsed = float(value)
except (TypeError, ValueError):
self.logger.warning(f'Invalid {name}: {value!r}, using {default}')
return default
if parsed <= 0:
self.logger.warning(f'Invalid {name}: {value!r}, using {default}')
return default
return parsed
def dispose(self):
self.plugin_connector.dispose()

View File

@@ -46,14 +46,12 @@ async def make_app(loop: asyncio.AbstractEventLoop) -> app.Application:
async def main(loop: asyncio.AbstractEventLoop):
app_inst: app.Application | None = None
try:
# Hang system signal processing
import signal
def signal_handler(sig, frame):
if app_inst is not None:
app_inst.dispose()
app_inst.dispose()
print('[Signal] Program exit.')
os._exit(0)

View File

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

View File

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

View File

@@ -3,7 +3,6 @@ from __future__ import annotations
import asyncio
import typing
import datetime
import time
from . import app
from . import entities as core_entities
@@ -120,7 +119,6 @@ class TaskWrapper:
self.label = label if label != '' else name
self.task.set_name(name)
self.scopes = scopes
self.created_at = time.time()
def assume_exception(self):
try:
@@ -156,7 +154,6 @@ class TaskWrapper:
'name': self.name,
'label': self.label,
'scopes': [scope.value for scope in self.scopes],
'created_at': self.created_at,
'task_context': self.task_context.to_dict(),
'runtime': {
'done': self.task.done(),
@@ -196,8 +193,6 @@ class AsyncTaskManager:
) -> TaskWrapper:
wrapper = TaskWrapper(self.ap, coro, task_type, kind, name, label, context, scopes)
self.tasks.append(wrapper)
wrapper.task.add_done_callback(lambda _: self._prune_completed_tasks())
self._prune_completed_tasks()
return wrapper
def create_user_task(
@@ -231,15 +226,6 @@ class AsyncTaskManager:
'id_index': TaskWrapper._id_index,
}
def get_stats(self) -> dict:
completed = sum(1 for t in self.tasks if t.task.done())
return {
'total': len(self.tasks),
'running': len(self.tasks) - completed,
'completed': completed,
'id_index': TaskWrapper._id_index,
}
def get_task_by_id(self, id: int) -> TaskWrapper | None:
for t in self.tasks:
if t.id == id:
@@ -257,27 +243,3 @@ class AsyncTaskManager:
if not wrapper.task.done():
wrapper.task.cancel()
return
def _prune_completed_tasks(self):
completed_limit = (
self.ap.instance_config.data.get('system', {})
.get('task_retention', {})
.get(
'completed_limit',
200,
)
)
try:
completed_limit = int(completed_limit)
except (TypeError, ValueError):
completed_limit = 200
if completed_limit < 1:
completed_limit = 1
completed_tasks = [wrapper for wrapper in self.tasks if wrapper.task.done()]
overflow = len(completed_tasks) - completed_limit
if overflow <= 0:
return
remove_ids = {wrapper.id for wrapper in completed_tasks[:overflow]}
self.tasks = [wrapper for wrapper in self.tasks if wrapper.id not in remove_ids]

View File

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

View File

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

View File

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

View File

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

View File

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

View File

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

View File

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

View File

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

View File

@@ -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:
@@ -275,7 +269,6 @@ class MessageAggregator:
message_chain=merged_chain,
adapter=base_msg.adapter,
pipeline_uuid=base_msg.pipeline_uuid,
routed_by_rule=any(msg.routed_by_rule for msg in messages),
)
async def flush_all(self) -> None:

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

@@ -76,10 +76,6 @@ class LongTextProcessStage(stage.PipelineStage):
self.ap.logger.debug('Long message processing strategy is not set, skip long message processing.')
return entities.StageProcessResult(result_type=entities.ResultType.CONTINUE, new_query=query)
if not query.resp_message_chain:
self.ap.logger.debug('Response message chain is empty, skip long message processing.')
return entities.StageProcessResult(result_type=entities.ResultType.CONTINUE, new_query=query)
# 检查是否包含非 Plain 组件
contains_non_plain = False

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

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

View File

@@ -41,7 +41,6 @@ class QueryPool:
message_chain: platform_message.MessageChain,
adapter: abstract_platform_adapter.AbstractMessagePlatformAdapter,
pipeline_uuid: typing.Optional[str] = None,
routed_by_rule: bool = False,
) -> pipeline_query.Query:
async with self.condition:
query_id = self.query_id_counter
@@ -53,7 +52,7 @@ class QueryPool:
sender_id=sender_id,
message_event=message_event,
message_chain=message_chain,
variables={'_routed_by_rule': routed_by_rule},
variables={},
resp_messages=[],
resp_message_chain=[],
adapter=adapter,
@@ -63,7 +62,6 @@ class QueryPool:
self.cached_queries[query_id] = query
self.query_id_counter += 1
self.condition.notify_all()
return query
async def __aenter__(self):
await self.pool_lock.acquire()

View File

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

View File

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

View File

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

View File

@@ -1,8 +1,6 @@
from __future__ import annotations
import asyncio
import json
import re
import traceback
import sqlalchemy
@@ -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()
@@ -523,7 +314,7 @@ class PlatformManager:
return None
async def remove_bot(self, bot_uuid: str):
for bot in self.bots[:]:
for bot in self.bots:
if bot.bot_entity.uuid == bot_uuid:
if bot.enable:
await bot.shutdown()

View File

@@ -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

@@ -14,23 +14,7 @@ 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: one-click-create
label:
en_US: One-Click Create App
zh_Hans: 一键创建应用
zh_Hant: 一鍵建立應用
description:
en_US: "Scan QR code with DingTalk to automatically create an app and fill in credentials. Note: Robot Code cannot be obtained automatically, you need to copy it from the DingTalk Developer Backend manually."
zh_Hans: "使用钉钉扫码自动创建应用并填写凭据。注意:机器人代码无法自动获取,需前往钉钉开发者后台手动复制。"
zh_Hant: "使用釘釘掃碼自動建立應用並填寫憑證。注意:機器人代碼無法自動取得,需前往釘釘開發者後台手動複製。"
type: qr-code-login
login_platform: dingtalk
required: false
- name: client_id
label:
en_US: Client ID
@@ -52,10 +36,6 @@ spec:
en_US: Robot Code
zh_Hans: 机器人代码
zh_Hant: 機器人代碼
description:
en_US: "Required for image recognition, file upload and other features. Get it from DingTalk Developer Backend > Robot Configuration."
zh_Hans: "识图、上传文件等功能必填。请前往钉钉开发者后台 > 机器人配置中获取。"
zh_Hant: "識圖、上傳檔案等功能必填。請前往釘釘開發者後台 > 機器人設定中取得。"
type: string
required: true
default: ""

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(
@@ -787,13 +779,6 @@ class LarkAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
card_id_dict: dict[str, str] # 消息id到卡片id的映射便于创建卡片后的发送消息到指定卡片
# Monitoring message ID mapping for feedback correlation
# Temp: user Lark message ID → monitoring_message_id (populated by on_monitoring_message_created, consumed by create_message_card)
pending_monitoring_msg: dict[str, str]
# Final: reply Lark message ID → (monitoring_message_id, timestamp) (used by feedback callbacks)
reply_to_monitoring_msg: dict[str, tuple[str, float]]
_MONITORING_MAPPING_TTL = 600 # 10 minutes
seq: int # 用于在发送卡片消息中识别消息顺序直接以seq作为标识
bot_uuid: str = None # 机器人UUID
app_ticket: str = None # 商店应用用到
@@ -812,71 +797,8 @@ class LarkAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
def sync_on_message(event: lark_oapi.im.v1.P2ImMessageReceiveV1):
asyncio.create_task(on_message(event))
def sync_on_card_action(event):
try:
action_value_obj = getattr(getattr(event.event, 'action', None), 'value', {})
action_value = action_value_obj.get('feedback', '') if isinstance(action_value_obj, dict) else ''
if action_value == '有帮助':
feedback_type = 1
elif action_value == '无帮助':
feedback_type = 2
else:
from lark_oapi.event.callback.model.p2_card_action_trigger import P2CardActionTriggerResponse
return P2CardActionTriggerResponse({'toast': {'type': 'success', 'content': '操作成功'}})
operator = getattr(event.event, 'operator', None)
context = getattr(event.event, 'context', None)
user_id = getattr(operator, 'open_id', None) or getattr(operator, 'user_id', None)
open_chat_id = getattr(context, 'open_chat_id', None)
open_message_id = getattr(context, 'open_message_id', None)
if open_chat_id:
session_id = f'group_{open_chat_id}'
elif user_id:
session_id = f'person_{user_id}'
else:
session_id = None
# Resolve monitoring message ID from reply message mapping
monitoring_msg_id = None
if open_message_id and open_message_id in self.reply_to_monitoring_msg:
monitoring_msg_id = self.reply_to_monitoring_msg[open_message_id][0]
feedback_event = platform_events.FeedbackEvent(
feedback_id=getattr(event.header, 'event_id', str(uuid.uuid4())),
feedback_type=feedback_type,
feedback_content=action_value,
user_id=user_id,
session_id=session_id,
message_id=open_message_id,
stream_id=monitoring_msg_id,
source_platform_object=event,
)
if platform_events.FeedbackEvent in self.listeners:
loop = asyncio.get_event_loop()
if loop.is_running():
asyncio.create_task(self.listeners[platform_events.FeedbackEvent](feedback_event, self))
else:
loop.run_until_complete(self.listeners[platform_events.FeedbackEvent](feedback_event, self))
from lark_oapi.event.callback.model.p2_card_action_trigger import P2CardActionTriggerResponse
return P2CardActionTriggerResponse({'toast': {'type': 'success', 'content': '感谢您的反馈'}})
except Exception:
asyncio.create_task(self.logger.error(f'Error in lark card action callback: {traceback.format_exc()}'))
from lark_oapi.event.callback.model.p2_card_action_trigger import P2CardActionTriggerResponse
return P2CardActionTriggerResponse({'toast': {'type': 'error', 'content': '反馈处理失败'}})
event_handler = (
lark_oapi.EventDispatcherHandler.builder('', '')
.register_p2_im_message_receive_v1(sync_on_message)
.register_p2_card_action_trigger(sync_on_card_action)
.build()
lark_oapi.EventDispatcherHandler.builder('', '').register_p2_im_message_receive_v1(sync_on_message).build()
)
bot_account_id = config['bot_name']
@@ -891,8 +813,6 @@ class LarkAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
logger=logger,
lark_tenant_key=config.get('lark_tenant_key', ''),
card_id_dict={},
pending_monitoring_msg={},
reply_to_monitoring_msg={},
seq=1,
listeners={},
quart_app=quart_app,
@@ -1025,90 +945,7 @@ class LarkAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
return api_client
async def send_message(self, target_type: str, target_id: str, message: platform_message.MessageChain):
text_elements, media_items = await self.message_converter.yiri2target(message, self.api_client)
# Map standard target_type to Feishu receive_id_type
if target_type == 'person':
receive_id_type = 'open_id'
elif target_type == 'group':
receive_id_type = 'chat_id'
else:
receive_id_type = target_type
# Send text message if there are text elements
if text_elements:
needs_post = any(ele['tag'] == 'at' for paragraph in text_elements for ele in paragraph)
if needs_post:
msg_type = 'post'
final_content = json.dumps(
{
'zh_Hans': {
'title': '',
'content': text_elements,
},
}
)
else:
msg_type = 'text'
parts = []
for paragraph in text_elements:
para_text = ''.join(ele.get('text', '') for ele in paragraph)
if para_text:
parts.append(para_text)
final_content = json.dumps({'text': '\n\n'.join(parts)})
request: CreateMessageRequest = (
CreateMessageRequest.builder()
.receive_id_type(receive_id_type)
.request_body(
CreateMessageRequestBody.builder()
.receive_id(target_id)
.content(final_content)
.msg_type(msg_type)
.uuid(str(uuid.uuid4()))
.build()
)
.build()
)
app_access_token = self.get_app_access_token()
req_opt: RequestOption = (
RequestOption.builder().app_ticket(self.app_ticket).app_access_token(app_access_token).build()
)
response: CreateMessageResponse = self.api_client.im.v1.message.create(request, req_opt)
if not response.success():
raise Exception(
f'client.im.v1.message.create failed, code: {response.code}, msg: {response.msg}, log_id: {response.get_log_id()}, resp: \n{json.dumps(json.loads(response.raw.content), indent=4, ensure_ascii=False)}'
)
# Send media messages separately (image, audio, file, etc.)
for media in media_items:
request: CreateMessageRequest = (
CreateMessageRequest.builder()
.receive_id_type(receive_id_type)
.request_body(
CreateMessageRequestBody.builder()
.receive_id(target_id)
.content(json.dumps(media['content']))
.msg_type(media['msg_type'])
.uuid(str(uuid.uuid4()))
.build()
)
.build()
)
app_access_token = self.get_app_access_token()
req_opt: RequestOption = (
RequestOption.builder().app_ticket(self.app_ticket).app_access_token(app_access_token).build()
)
response: CreateMessageResponse = self.api_client.im.v1.message.create(request, req_opt)
if not response.success():
raise Exception(
f'client.im.v1.message.create ({media["msg_type"]}) failed, code: {response.code}, msg: {response.msg}, log_id: {response.get_log_id()}, resp: \n{json.dumps(json.loads(response.raw.content), indent=4, ensure_ascii=False)}'
)
pass
async def is_stream_output_supported(self) -> bool:
is_stream = False
@@ -1116,22 +953,6 @@ class LarkAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
is_stream = True
return is_stream
async def on_monitoring_message_created(self, query, monitoring_message_id: str):
"""Called by pipeline after monitoring message is created, to map user message ID to monitoring message ID."""
try:
user_msg_id = query.message_event.message_chain.message_id
if user_msg_id:
self.pending_monitoring_msg[user_msg_id] = monitoring_message_id
except Exception as e:
await self.logger.debug(f'Failed to map message to monitoring message: {e}')
def _cleanup_monitoring_mapping(self):
"""Remove entries older than TTL from the reply-to-monitoring mapping."""
now = time.time()
expired = [k for k, (_, ts) in self.reply_to_monitoring_msg.items() if now - ts > self._MONITORING_MAPPING_TTL]
for k in expired:
del self.reply_to_monitoring_msg[k]
async def create_card_id(self, message_id):
try:
# self.logger.debug('飞书支持stream输出,创建卡片......')
@@ -1267,7 +1088,6 @@ class LarkAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
'size': 'medium',
'icon': {'tag': 'standard_icon', 'token': 'thumbsup_outlined'},
'hover_tips': {'tag': 'plain_text', 'content': '有帮助'},
'behaviors': [{'type': 'callback', 'value': {'feedback': '有帮助'}}],
'margin': '0px 0px 0px 0px',
}
],
@@ -1291,7 +1111,6 @@ class LarkAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
'size': 'medium',
'icon': {'tag': 'standard_icon', 'token': 'thumbdown_outlined'},
'hover_tips': {'tag': 'plain_text', 'content': '无帮助'},
'behaviors': [{'type': 'callback', 'value': {'feedback': '无帮助'}}],
'margin': '0px 0px 0px 0px',
}
],
@@ -1371,18 +1190,6 @@ class LarkAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
raise Exception(
f'client.im.v1.message.reply failed, code: {response.code}, msg: {response.msg}, log_id: {response.get_log_id()}, resp: \n{json.dumps(json.loads(response.raw.content), indent=4, ensure_ascii=False)}'
)
# Transfer monitoring message mapping: user msg ID → reply msg ID
try:
user_msg_id = event.message_chain.message_id
reply_msg_id = getattr(response.data, 'message_id', None)
monitoring_msg_id = self.pending_monitoring_msg.pop(user_msg_id, None)
if reply_msg_id and monitoring_msg_id:
self.reply_to_monitoring_msg[reply_msg_id] = (monitoring_msg_id, time.time())
self._cleanup_monitoring_mapping()
except Exception as e:
asyncio.create_task(self.logger.debug(f'Failed to transfer monitoring mapping in create_message_card: {e}'))
return True
async def reply_message(
@@ -1665,58 +1472,6 @@ class LarkAdapter(abstract_platform_adapter.AbstractMessagePlatformAdapter):
if event.__class__ in self.listeners:
await self.listeners[event.__class__](event, self)
elif 'card.action.trigger' == type:
try:
event_data = data.get('event', {})
operator = event_data.get('operator', {})
action = event_data.get('action', {})
context_data = event_data.get('context', {})
action_value_obj = action.get('value', {})
action_value = action_value_obj.get('feedback', '') if isinstance(action_value_obj, dict) else ''
if action_value == '有帮助':
feedback_type = 1
elif action_value == '无帮助':
feedback_type = 2
else:
return {'toast': {'type': 'success', 'content': '操作成功'}}
user_id = operator.get('open_id') or operator.get('user_id')
open_chat_id = context_data.get('open_chat_id')
open_message_id = context_data.get('open_message_id')
if open_chat_id:
session_id = f'group_{open_chat_id}'
elif user_id:
session_id = f'person_{user_id}'
else:
session_id = None
# Resolve monitoring message ID from reply message mapping
monitoring_msg_id = None
if open_message_id and open_message_id in self.reply_to_monitoring_msg:
monitoring_msg_id = self.reply_to_monitoring_msg[open_message_id][0]
feedback_event = platform_events.FeedbackEvent(
feedback_id=data.get('header', {}).get('event_id', str(uuid.uuid4())),
feedback_type=feedback_type,
feedback_content=action_value,
user_id=user_id,
session_id=session_id,
message_id=open_message_id,
stream_id=monitoring_msg_id,
source_platform_object=data,
)
if platform_events.FeedbackEvent in self.listeners:
await self.listeners[platform_events.FeedbackEvent](feedback_event, self)
return {'toast': {'type': 'success', 'content': '感谢您的反馈'}}
except Exception:
await self.logger.error(f'Error in lark card action callback: {traceback.format_exc()}')
return {'toast': {'type': 'error', 'content': '反馈处理失败'}}
elif 'im.chat.member.bot.added_v1' == type:
try:
bot_added_welcome_msg = self.config.get('bot_added_welcome', '')

View File

@@ -18,25 +18,7 @@ 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: one-click-create
label:
en_US: One-Click Create App
zh_Hans: 一键创建应用
zh_Hant: 一鍵建立應用
ja_JP: ワンクリックでアプリ作成
description:
en_US: Scan QR code to automatically create a Feishu app and fill in credentials
zh_Hans: 扫码自动创建飞书应用并填写凭据
zh_Hant: 掃碼自動建立飛書應用並填寫憑證
ja_JP: QRコードをスキャンしてFeishuアプリを自動作成し、認証情報を入力
type: qr-code-login
login_platform: feishu
required: false
- name: app_id
label:
en_US: App ID

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:

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Before

Width:  |  Height:  |  Size: 3.4 KiB

View File

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

View File

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

View File

@@ -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:
@@ -32,20 +28,6 @@ spec:
type: string
required: true
default: "https://ilinkai.weixin.qq.com"
- name: qr-login
label:
en_US: Scan QR Login
zh_Hans: 扫码登录
zh_Hant: 掃碼登入
ja_JP: QRコードでログイン
description:
en_US: Scan QR code with WeChat to authorize and automatically fill in the token
zh_Hans: 使用微信扫码授权,自动填写令牌
zh_Hant: 使用微信掃碼授權,自動填寫令牌
ja_JP: WeChatでQRコードをスキャンし、トークンを自動入力
type: qr-code-login
login_platform: weixin
required: false
- name: token
label:
en_US: Token

View File

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

View File

@@ -7,18 +7,26 @@ metadata:
zh_Hans: QQ 官方 API
zh_Hant: QQ 官方 API
description:
en_US: QQ Official API (Webhook / WebSocket)
zh_Hans: QQ 官方 API,支持 Webhook 和 WebSocket 两种连接模
zh_Hant: QQ 官方 API,支援 Webhook 和 WebSocket 兩種連線模
en_US: QQ Official API (Webhook)
zh_Hans: QQ 官方 API (Webhook),需要公网地址以接收消息推送,请查看文档了解使用方
zh_Hant: QQ 官方 API (Webhook),需要公網地址以接收訊息推送,請查看文件了解使用方
icon: qqofficial.svg
spec:
categories:
- china
help_links:
zh: https://link.langbot.app/zh/platforms/qqofficial
en: https://link.langbot.app/en/platforms/qqofficial
ja: https://link.langbot.app/ja/platforms/qqofficial
config:
- name: webhook_url
label:
en_US: Webhook Callback URL
zh_Hans: Webhook 回调地址
zh_Hant: Webhook 回調地址
description:
en_US: Copy this URL and paste it into your QQ Official API webhook configuration
zh_Hans: 复制此地址并粘贴到 QQ 官方 API 的 Webhook 配置中
zh_Hant: 複製此地址並貼到 QQ 官方 API 的 Webhook 設定中
type: webhook-url
required: false
default: ""
- name: appid
label:
en_US: App ID
@@ -43,46 +51,6 @@ spec:
type: string
required: true
default: ""
- name: enable-webhook
label:
en_US: Enable Webhook Mode
zh_Hans: 启用Webhook模式
zh_Hant: 啟用 Webhook 模式
description:
en_US: If enabled, the bot will use webhook mode to receive messages. Otherwise, it will use WebSocket mode
zh_Hans: 如果启用,机器人将使用 Webhook 模式接收消息。否则,将使用 WebSocket 模式
zh_Hant: 如果啟用,機器人將使用 Webhook 模式接收訊息。否則,將使用 WebSocket 模式
type: boolean
required: true
default: false
- name: enable-stream-reply
label:
en_US: Enable Stream Reply Mode
zh_Hans: 启用流式回复模式
zh_Hant: 啟用串流回覆模式
description:
en_US: If enabled, the bot will use streaming mode to reply messages (C2C only)
zh_Hans: 如果启用,机器人将使用流式方式回复消息(仅私聊)
zh_Hant: 如果啟用,機器人將使用串流方式回覆訊息(僅私聊)
type: boolean
required: true
default: false
- name: webhook_url
label:
en_US: Webhook Callback URL
zh_Hans: Webhook 回调地址
zh_Hant: Webhook 回調地址
description:
en_US: Copy this URL and paste it into your QQ Official API webhook configuration
zh_Hans: 复制此地址并粘贴到 QQ 官方 API 的 Webhook 配置中
zh_Hant: 複製此地址並貼到 QQ 官方 API 的 Webhook 設定中
type: webhook-url
required: false
default: ""
show_if:
field: enable-webhook
operator: eq
value: true
execution:
python:
path: ./qqofficial.py

View File

@@ -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',

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