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Author SHA1 Message Date
Ruochen Pan 3d31a4f354 Revert "feat: 接入 Shipyard Neo 自迭代 Skill 闭环与管理能力" 2026-03-02 09:41:29 +08:00
499 changed files with 2791 additions and 47838 deletions
+5 -12
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@@ -3,8 +3,8 @@
### Modifications / 改动点
<!--Please summarize your changes: What core files were modified? What functionality was implemented?-->
<!--请总结你的改动:哪些核心文件被修改了?实现了什么功能?-->
<!--Please summarize your changes: What core files were modified? What functionality was implemented?-->
- [x] This is NOT a breaking change. / 这不是一个破坏性变更。
<!-- If your changes is a breaking change, please uncheck the checkbox above -->
@@ -21,14 +21,7 @@
<!--If merged, your code will serve tens of thousands of users! Please double-check the following items before submitting.-->
<!--如果分支被合并,您的代码将服务于数万名用户!在提交前,请核查一下几点内容。-->
- [ ] 😊 If there are new features added in the PR, I have discussed it with the authors through issues/emails, etc.
/ 如果 PR 中有新加入的功能,已经通过 Issue / 邮件等方式和作者讨论过。
- [ ] 👀 My changes have been well-tested, **and "Verification Steps" and "Screenshots" have been provided above**.
/ 我的更改经过了良好的测试,**并已在上方提供了“验证步骤”和“运行截图”**。
- [ ] 🤓 I have ensured that no new dependencies are introduced, OR if new dependencies are introduced, they have been added to the appropriate locations in `requirements.txt` and `pyproject.toml`.
/ 我确保没有引入新依赖库,或者引入了新依赖库的同时将其添加到 `requirements.txt``pyproject.toml` 文件相应位置。
- [ ] 😮 My changes do not introduce malicious code.
/ 我的更改没有引入恶意代码。
- [ ] 😊 如果 PR 中有新加入的功能,已经通过 Issue / 邮件等方式和作者讨论过。/ If there are new features added in the PR, I have discussed it with the authors through issues/emails, etc.
- [ ] 👀 我的更改经过了良好的测试,**并已在上方提供了“验证步骤”和“运行截图”**。/ My changes have been well-tested, **and "Verification Steps" and "Screenshots" have been provided above**.
- [ ] 🤓 我确保没有引入新依赖库,或者引入了新依赖库的同时将其添加到了 `requirements.txt``pyproject.toml` 文件相应位置。/ I have ensured that no new dependencies are introduced, OR if new dependencies are introduced, they have been added to the appropriate locations in `requirements.txt` and `pyproject.toml`.
- [ ] 😮 我的更改没有引入恶意代码。/ My changes do not introduce malicious code.
-43
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@@ -1,43 +0,0 @@
name: release
on:
push:
tags:
- 'v*'
workflow_dispatch:
jobs:
build:
runs-on: ubuntu-latest # 运行环境
steps:
- name: checkout
uses: actions/checkout@v6
- name: nodejs installation
uses: actions/setup-node@v6
with:
node-version: "18"
- name: npm install
run: npm add -D vitepress
working-directory: './docs' # working-directory 指定 shell 命令运行目录
- name: npm run build
run: npm run docs:build
working-directory: './docs'
- name: scp
uses: appleboy/scp-action@v1.0.0
with:
host: ${{ secrets.HOST_NEKO }}
username: ${{ secrets.USERNAME }}
password: ${{ secrets.PASSWORDNEKO }}
source: 'docs/.vitepress/dist/*'
target: '/tmp/'
- name: script
uses: appleboy/ssh-action@v1.2.5
with:
host: ${{ secrets.HOST_NEKO }}
username: ${{ secrets.USERNAME }}
password: ${{ secrets.PASSWORDNEKO }}
script: |
mkdir -p /root/docker_data/caddy/caddy_data/static_site/abv4/
rm -rf /root/docker_data/caddy/caddy_data/static_site/abv4/*
mv /tmp/docs/.vitepress/dist/* /root/docker_data/caddy/caddy_data/static_site/abv4/
rm -rf /tmp/docs/
+2 -2
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@@ -36,7 +36,7 @@ jobs:
zip -r dist.zip dist
- name: Archive production artifacts
uses: actions/upload-artifact@v7
uses: actions/upload-artifact@v6
with:
name: dist-without-markdown
path: |
@@ -45,7 +45,7 @@ jobs:
- name: Create GitHub Release
if: github.event_name == 'push'
uses: ncipollo/release-action@v1.21.0
uses: ncipollo/release-action@v1
with:
tag: release-${{ github.sha }}
owner: AstrBotDevs
+10 -10
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@@ -64,20 +64,20 @@ jobs:
echo "build_date=$build_date" >> $GITHUB_OUTPUT
- name: Set QEMU
uses: docker/setup-qemu-action@v4.0.0
uses: docker/setup-qemu-action@v3
- name: Set Docker Buildx
uses: docker/setup-buildx-action@v4.0.0
uses: docker/setup-buildx-action@v3
- name: Log in to DockerHub
uses: docker/login-action@v4.0.0
uses: docker/login-action@v3
with:
username: ${{ secrets.DOCKER_HUB_USERNAME }}
password: ${{ secrets.DOCKER_HUB_PASSWORD }}
- name: Login to GitHub Container Registry
if: env.HAS_GHCR_TOKEN == 'true'
uses: docker/login-action@v4.0.0
uses: docker/login-action@v3
with:
registry: ghcr.io
username: ${{ env.GHCR_OWNER }}
@@ -98,7 +98,7 @@ jobs:
echo "EOF" >> $GITHUB_OUTPUT
- name: Build and Push Nightly Image
uses: docker/build-push-action@v7.0.0
uses: docker/build-push-action@v6
with:
context: .
platforms: linux/amd64,linux/arm64
@@ -163,27 +163,27 @@ jobs:
cp -r dashboard/dist data/
- name: Set QEMU
uses: docker/setup-qemu-action@v4.0.0
uses: docker/setup-qemu-action@v3
- name: Set Docker Buildx
uses: docker/setup-buildx-action@v4.0.0
uses: docker/setup-buildx-action@v3
- name: Log in to DockerHub
uses: docker/login-action@v4.0.0
uses: docker/login-action@v3
with:
username: ${{ secrets.DOCKER_HUB_USERNAME }}
password: ${{ secrets.DOCKER_HUB_PASSWORD }}
- name: Login to GitHub Container Registry
if: env.HAS_GHCR_TOKEN == 'true'
uses: docker/login-action@v4.0.0
uses: docker/login-action@v3
with:
registry: ghcr.io
username: ${{ env.GHCR_OWNER }}
password: ${{ secrets.GHCR_GITHUB_TOKEN }}
- name: Build and Push Release Image
uses: docker/build-push-action@v7.0.0
uses: docker/build-push-action@v6
with:
context: .
platforms: linux/amd64,linux/arm64
-53
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@@ -1,53 +0,0 @@
name: PR Title Check
on:
pull_request_target:
types: [opened, edited, reopened, synchronize]
jobs:
title-format:
runs-on: ubuntu-latest
permissions:
pull-requests: write
issues: write
steps:
- name: Validate PR title
uses: actions/github-script@v8
with:
script: |
const title = (context.payload.pull_request.title || "").trim();
// allow only:
// feat: xxx
// feat(scope): xxx
const pattern = /^(feat)(\([a-z0-9-]+\))?:\s.+$/i;
const isValid = pattern.test(title);
const isSameRepo =
context.payload.pull_request.head.repo.full_name === context.payload.repository.full_name;
if (!isValid) {
if (isSameRepo) {
try {
await github.rest.issues.createComment({
owner: context.repo.owner,
repo: context.repo.repo,
issue_number: context.payload.pull_request.number,
body: [
"⚠️ PR title format check failed.",
"Required formats:",
"- `feat: xxx`",
"- `feat(scope): xxx`",
"Please update your PR title and push again."
].join("\n")
});
} catch (e) {
core.warning(`Failed to post PR title comment: ${e.message}`);
}
} else {
core.warning("Fork PR: comment permission is restricted; skip posting review comment.");
}
}
if (!isValid) {
core.setFailed("Invalid PR title. Expected format: feat: xxx or feat(scope): xxx.");
}
+4 -37
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@@ -50,7 +50,7 @@ jobs:
echo "tag=$tag" >> "$GITHUB_OUTPUT"
- name: Setup pnpm
uses: pnpm/action-setup@v4.4.0
uses: pnpm/action-setup@v4
with:
version: 10.28.2
@@ -71,7 +71,7 @@ jobs:
zip -r "AstrBot-${{ steps.tag.outputs.tag }}-dashboard.zip" dist
- name: Upload dashboard artifact
uses: actions/upload-artifact@v7
uses: actions/upload-artifact@v6
with:
name: Dashboard-${{ steps.tag.outputs.tag }}
if-no-files-found: error
@@ -132,7 +132,7 @@ jobs:
echo "tag=$tag" >> "$GITHUB_OUTPUT"
- name: Download dashboard artifact
uses: actions/download-artifact@v8
uses: actions/download-artifact@v7
with:
name: Dashboard-${{ steps.tag.outputs.tag }}
path: release-assets
@@ -184,8 +184,7 @@ jobs:
publish-pypi:
name: Publish PyPI
runs-on: ubuntu-24.04
needs:
- publish-release
needs: publish-release
steps:
- name: Checkout repository
uses: actions/checkout@v6
@@ -193,36 +192,6 @@ jobs:
fetch-depth: 0
ref: ${{ inputs.ref || github.ref }}
- name: Resolve tag
id: tag
shell: bash
run: |
if [ "${{ github.event_name }}" = "push" ]; then
tag="${GITHUB_REF_NAME}"
elif [ -n "${{ inputs.tag }}" ]; then
tag="${{ inputs.tag }}"
else
tag="$(git describe --tags --abbrev=0)"
fi
if [ -z "$tag" ]; then
echo "Failed to resolve tag." >&2
exit 1
fi
echo "tag=$tag" >> "$GITHUB_OUTPUT"
- name: Download dashboard artifact
uses: actions/download-artifact@v8
with:
name: Dashboard-${{ steps.tag.outputs.tag }}
path: dashboard-artifact
- name: Unpack dashboard dist into package tree
shell: bash
run: |
mkdir -p astrbot/dashboard/dist
unzip -q "dashboard-artifact/AstrBot-${{ steps.tag.outputs.tag }}-dashboard.zip" -d dashboard-artifact/unpacked
cp -r dashboard-artifact/unpacked/dist/. astrbot/dashboard/dist/
- name: Set up Python
uses: actions/setup-python@v6
with:
@@ -234,8 +203,6 @@ jobs:
- name: Build package
shell: bash
# Dashboard assets are already in astrbot/dashboard/dist/;
# ASTRBOT_BUILD_DASHBOARD is intentionally unset so the hatch hook skips npm.
run: uv build
- name: Publish to PyPI
-68
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@@ -1,68 +0,0 @@
name: sync wiki
on:
workflow_dispatch:
push:
branches:
- master
paths:
- '.github/workflows/sync-wiki.yml'
- 'docs/scripts/sync_docs_to_wiki.py'
- 'docs/tests/test_sync_docs_to_wiki.py'
- 'docs/zh/**'
- 'docs/en/**'
concurrency:
group: sync-wiki-${{ github.ref }}
cancel-in-progress: true
jobs:
sync:
runs-on: ubuntu-latest
permissions:
contents: read
steps:
- name: Validate manual ref
if: github.event_name == 'workflow_dispatch' && github.ref != 'refs/heads/master'
run: |
echo "This workflow only publishes from refs/heads/master. Re-run it from the master branch."
exit 1
- name: Check out docs repository
uses: actions/checkout@v6
- name: Set up Python
uses: actions/setup-python@v6
with:
python-version: '3.11'
- name: Run sync unit tests
working-directory: docs
run: python -m unittest discover -s tests -p 'test_sync_docs_to_wiki.py' -v
- name: Validate internal doc links
run: python docs/scripts/sync_docs_to_wiki.py --source-root docs --check-links-only
- name: Clone AstrBot wiki
env:
WIKI_TOKEN: ${{ secrets.ASTRBOT_WIKI_TOKEN }}
run: |
test -n "$WIKI_TOKEN"
git clone "https://x-access-token:${WIKI_TOKEN}@github.com/AstrBotDevs/AstrBot.wiki.git" wiki
- name: Generate wiki pages
run: python docs/scripts/sync_docs_to_wiki.py --source-root docs --wiki-root wiki
- name: Commit and push wiki changes
working-directory: wiki
run: |
git config user.name "github-actions[bot]"
git config user.email "41898282+github-actions[bot]@users.noreply.github.com"
git add .
if git diff --cached --quiet; then
echo "No wiki changes to push"
exit 0
fi
git commit -m "docs: sync wiki from AstrBot-1/docs"
git push
-9
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@@ -36,9 +36,6 @@ dashboard/dist/
package-lock.json
yarn.lock
# Bundled dashboard dist (generated by hatch_build.py during pip wheel build)
astrbot/dashboard/dist/
# Operating System
**/.DS_Store
.DS_Store
@@ -57,9 +54,3 @@ IFLOW.md
# genie_tts data
CharacterModels/
GenieData/
.agent/
.codex/
.opencode/
.kilocode/
.worktrees/
-52
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@@ -46,32 +46,6 @@ ruff check .
如果您使用 VSCode,可以安装 `Ruff` 插件。
##### PR 功能完整性验证(推荐)
如果您希望在本地做一套接近 CI 的完整验证,可使用:
```bash
make pr-test-neo
```
该命令会执行:
- `uv sync --group dev`
- `ruff format --check .``ruff check .`
- Neo 相关关键测试
- `main.py` 启动 smoke test(检测 `http://localhost:6185`
需要全量验证时可使用:
```bash
make pr-test-full
```
如果只想快速重复执行(跳过依赖同步和 dashboard 构建):
```bash
make pr-test-full-fast
```
## Contributing Guide
@@ -114,29 +88,3 @@ We use Ruff as our code formatter and static analysis tool. Before submitting yo
ruff format .
ruff check .
```
##### PR completeness checks (recommended)
To run a local validation flow close to CI, use:
```bash
make pr-test-neo
```
This command runs:
- `uv sync --group dev`
- `ruff format --check .` and `ruff check .`
- Neo-related critical tests
- a startup smoke test against `http://localhost:6185`
For full validation, use:
```bash
make pr-test-full
```
For faster repeated runs (skip dependency sync and dashboard build), use:
```bash
make pr-test-full-fast
```
+1 -10
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@@ -1,4 +1,4 @@
.PHONY: worktree worktree-add worktree-rm pr-test-neo pr-test-full pr-test-full-fast
.PHONY: worktree worktree-add worktree-rm
WORKTREE_DIR ?= ../astrbot_worktree
BRANCH ?= $(word 2,$(MAKECMDGOALS))
@@ -27,15 +27,6 @@ endif
echo "Worktree $(WORKTREE_DIR)/$(BRANCH) not found."; \
fi
pr-test-neo:
./scripts/pr_test_env.sh --profile neo
pr-test-full:
./scripts/pr_test_env.sh --profile full
pr-test-full-fast:
./scripts/pr_test_env.sh --profile full --skip-sync --no-dashboard
# Swallow extra args (branch/base) so make doesn't treat them as targets
%:
@true
+17 -40
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@@ -73,68 +73,57 @@ AstrBot is an open-source all-in-one Agent chatbot platform that integrates with
### One-Click Deployment
For users who want to quickly experience AstrBot, are familiar with command-line usage, and can install a `uv` environment on their own, we recommend the `uv` one-click deployment method ⚡️:
For users who want to quickly experience AstrBot, we recommend using the one-click deployment method with `uv` ⚡️:
```bash
uv tool install astrbot
astrbot init # Only execute this command for the first time to initialize the environment
astrbot run
astrbot
```
> Requires [uv](https://docs.astral.sh/uv/) to be installed.
> [!NOTE]
> For macOS user: due to macOS security checks, the first run of the `astrbot` command may take longer (about 10-20s).
Update `astrbot`:
```bash
uv tool upgrade astrbot
```
### Docker Deployment
For users familiar with containers and looking for a more stable, production-ready deployment method, we recommend deploying AstrBot with Docker / Docker Compose.
For users who want a more stable and production-ready deployment, we recommend using Docker / Docker Compose to deploy AstrBot.
Please refer to the official documentation: [Deploy AstrBot with Docker](https://astrbot.app/deploy/astrbot/docker.html#%E4%BD%BF%E7%94%A8-docker-%E9%83%A8%E7%BD%B2-astrbot).
### Deploy on RainYun
For users who want one-click deployment and do not want to manage servers themselves, we recommend RainYun's one-click cloud deployment service ☁️:
For users who want to deploy AstrBot with one-click and don't want to manage the server, we recommend using RainYun's one-click cloud deployment service ☁️:
[![Deploy on RainYun](https://rainyun-apps.cn-nb1.rains3.com/materials/deploy-on-rainyun-en.svg)](https://app.rainyun.com/apps/rca/store/5994?ref=NjU1ODg0)
### Desktop Application Deployment
### Desktop Application (Tauri)
For users who want to use AstrBot on desktop and mainly use ChatUI, we recommend AstrBot App.
For users who want to deploy AstrBot on their desktop, primarily using AstrBot ChatUI, rarely use AstrBot plugins, we recommend using the AstrBot App:
Visit [AstrBot-desktop](https://github.com/AstrBotDevs/AstrBot-desktop) to download and install; this method is designed for desktop usage and is not recommended for server scenarios.
Desktop repository: [AstrBot-desktop](https://github.com/AstrBotDevs/AstrBot-desktop).
### Launcher Deployment
Supports multiple system architectures, direct package installation, and out-of-the-box usage. A convenient one-click desktop deployment option for beginners.
For desktop users who also want fast deployment and isolated multi-instance usage, we recommend AstrBot Launcher.
### One-Click Launcher Deployment (AstrBot Launcher)
Visit [AstrBot Launcher](https://github.com/Raven95676/astrbot-launcher) to download and install.
For users who want a quick deployment and multi-instance solution with environment isolation, we recommend using the AstrBot Launcher:
Visit the [AstrBot Launcher](https://github.com/Raven95676/astrbot-launcher) repository and install the package for your OS from the latest release.
A quick deployment and multi-instance solution with environment isolation.
### Deploy on Replit
Replit deployment is maintained by the community and is suitable for online demos and lightweight trials.
Community-contributed deployment method.
[![Run on Repl.it](https://repl.it/badge/github/AstrBotDevs/AstrBot)](https://repl.it/github/AstrBotDevs/AstrBot)
### AUR
AUR deployment targets Arch Linux users who prefer installing AstrBot through the system package workflow.
Run the command below to install `astrbot-git`, then start AstrBot in your local environment.
```bash
yay -S astrbot-git
```
**More deployment methods**
If you need panel-based management or deeper customization, see [BT-Panel Deployment](https://astrbot.app/deploy/astrbot/btpanel.html) for BT Panel app-store setup, [1Panel Deployment](https://astrbot.app/deploy/astrbot/1panel.html) for 1Panel app-market deployment, [CasaOS Deployment](https://astrbot.app/deploy/astrbot/casaos.html) for NAS/home-server visual deployment, and [Manual Deployment](https://astrbot.app/deploy/astrbot/cli.html) for fully custom source-based installation with `uv`.
**More deployment methods**: [BT-Panel Deployment](https://astrbot.app/deploy/astrbot/btpanel.html) | [1Panel Deployment](https://astrbot.app/deploy/astrbot/1panel.html) | [CasaOS Deployment](https://astrbot.app/deploy/astrbot/casaos.html) | [Manual Deployment](https://astrbot.app/deploy/astrbot/cli.html)
## Supported Messaging Platforms
@@ -195,13 +184,6 @@ Connect AstrBot to your favorite chat platform.
| Minimax TTS | Text-to-Speech Services |
| Volcano Engine TTS | Text-to-Speech Services |
## ❤️ Sponsors
<p align="center">
<img alt="sponsors" src="https://sponsors.astrbot.app/?v=1">
</p>
## ❤️ Contributing
Issues and Pull Requests are always welcome! Feel free to submit your changes to this project :)
@@ -220,22 +202,17 @@ pip install pre-commit
pre-commit install
```
## 🌍 Community
### QQ Groups
- Group 9: 1076659624 (New)
- Group 10: 1078079676 (New)
- Group 1: 322154837
- Group 3: 630166526
- Group 5: 822130018
- Group 6: 753075035
- Group 7: 743746109
- Group 8: 1030353265
- Developer Group(Chit-chat): 975206796
- Developer Group(Formal): 1039761811
- Developer Group: 975206796
### Discord Server
+17 -29
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@@ -73,68 +73,57 @@ AstrBot est une plateforme de chatbot Agent tout-en-un open source qui s'intègr
### Déploiement en un clic
Pour les utilisateurs qui veulent découvrir AstrBot rapidement, qui sont familiers avec la ligne de commande et peuvent installer eux-mêmes l'environnement `uv`, nous recommandons la méthode de déploiement en un clic avec `uv` ⚡️ :
Pour les utilisateurs qui souhaitent découvrir AstrBot rapidement, nous recommandons la méthode de déploiement en un clic avec `uv` ⚡️ :
```bash
uv tool install astrbot
astrbot init # Exécutez cette commande uniquement la première fois pour initialiser l'environnement
astrbot run
astrbot
```
> [uv](https://docs.astral.sh/uv/) doit être installé.
> [!NOTE]
> Pour les utilisateurs macOS : en raison des vérifications de sécurité de macOS, la première exécution de la commande `astrbot` peut prendre plus de temps (environ 10-20s).
Mettre à jour `astrbot` :
```bash
uv tool upgrade astrbot
```
### Déploiement Docker
Pour les utilisateurs familiers avec les conteneurs et qui souhaitent une méthode plus stable et adaptée à la production, nous recommandons de déployer AstrBot avec Docker / Docker Compose.
Pour les utilisateurs qui veulent un déploiement plus stable et prêt pour la production, nous recommandons d'utiliser Docker / Docker Compose pour déployer AstrBot.
Veuillez consulter la documentation officielle [Déployer AstrBot avec Docker](https://astrbot.app/deploy/astrbot/docker.html#%E4%BD%BF%E7%94%A8-docker-%E9%83%A8%E7%BD%B2-astrbot).
Veuillez consulter la documentation officielle : [Déployer AstrBot avec Docker](https://astrbot.app/deploy/astrbot/docker.html#%E4%BD%BF%E7%94%A8-docker-%E9%83%A8%E7%BD%B2-astrbot).
### Déployer sur RainYun
Pour les utilisateurs qui souhaitent déployer AstrBot en un clic sans gérer le serveur eux-mêmes, nous recommandons le service de déploiement cloud en un clic de RainYun ☁️ :
Pour les utilisateurs qui souhaitent déployer AstrBot en un clic sans gérer le serveur, nous recommandons le service de déploiement cloud en un clic de RainYun ☁️ :
[![Deploy on RainYun](https://rainyun-apps.cn-nb1.rains3.com/materials/deploy-on-rainyun-en.svg)](https://app.rainyun.com/apps/rca/store/5994?ref=NjU1ODg0)
### Déploiement de l'application de bureau
### Application de bureau (Tauri)
Pour les utilisateurs qui veulent utiliser AstrBot sur desktop et passer principalement par ChatUI, nous recommandons AstrBot App.
Pour les utilisateurs qui veulent déployer AstrBot sur desktop, utilisent principalement AstrBot ChatUI et utilisent rarement les plugins AstrBot, nous recommandons AstrBot App :
Accédez à [AstrBot-desktop](https://github.com/AstrBotDevs/AstrBot-desktop) pour télécharger et installer l'application ; cette méthode est conçue pour un usage desktop et n'est pas recommandée pour les scénarios serveur.
Dépôt de l'application de bureau : [AstrBot-desktop](https://github.com/AstrBotDevs/AstrBot-desktop).
### Déploiement avec le lanceur
Prend en charge plusieurs architectures système, installation directe, prête à l'emploi. Solution de déploiement bureau en un clic, particulièrement adaptée aux débutants. Non recommandée pour les serveurs.
Également sur desktop, pour les utilisateurs qui souhaitent un déploiement rapide avec isolation d'environnement et multi-instances, nous recommandons AstrBot Launcher.
### Déploiement en un clic avec le lanceur (AstrBot Launcher)
Accédez à [AstrBot Launcher](https://github.com/Raven95676/astrbot-launcher) pour télécharger et installer.
Pour les utilisateurs qui veulent une solution de déploiement rapide et multi-instances avec isolation d'environnement, nous recommandons d'utiliser AstrBot Launcher :
Accédez au dépôt [AstrBot Launcher](https://github.com/Raven95676/astrbot-launcher) et installez le package correspondant à votre système depuis la dernière release.
Une solution de déploiement rapide et multi-instances avec isolation d'environnement.
### Déployer sur Replit
Le déploiement sur Replit est maintenu par la communauté et convient aux démonstrations en ligne et aux essais légers.
Méthode de déploiement contribuée par la communauté.
[![Run on Repl.it](https://repl.it/badge/github/AstrBotDevs/AstrBot)](https://repl.it/github/AstrBotDevs/AstrBot)
### AUR
Le mode AUR s'adresse aux utilisateurs Arch Linux qui préfèrent installer AstrBot via le gestionnaire de paquets système.
Exécutez la commande ci-dessous pour installer `astrbot-git`, puis lancez AstrBot localement.
```bash
yay -S astrbot-git
```
**Autres méthodes de déploiement**
Si vous avez besoin d'une gestion par panneau ou d'une personnalisation plus poussée, consultez [Déploiement BT-Panel](https://astrbot.app/deploy/astrbot/btpanel.html) pour une installation via BT Panel, [Déploiement 1Panel](https://astrbot.app/deploy/astrbot/1panel.html) pour le marketplace 1Panel, [Déploiement CasaOS](https://astrbot.app/deploy/astrbot/casaos.html) pour un déploiement visuel sur NAS/serveur domestique, et [Déploiement manuel](https://astrbot.app/deploy/astrbot/cli.html) pour une installation complète depuis les sources avec `uv`.
**Autres méthodes de déploiement** : [Déploiement BT-Panel](https://astrbot.app/deploy/astrbot/btpanel.html) | [Déploiement 1Panel](https://astrbot.app/deploy/astrbot/1panel.html) | [Déploiement CasaOS](https://astrbot.app/deploy/astrbot/casaos.html) | [Déploiement manuel](https://astrbot.app/deploy/astrbot/cli.html)
## Plateformes de messagerie prises en charge
@@ -222,7 +211,6 @@ pre-commit install
- Groupe 5 : 822130018
- Groupe 6 : 753075035
- Groupe développeurs : 975206796
- Groupe développeurs (officiel) : 1039761811
### Serveur Discord
+16 -28
View File
@@ -73,68 +73,57 @@ AstrBot は、主要なインスタントメッセージングアプリと統合
### ワンクリックデプロイ
AstrBot を素早く試したいユーザーで、コマンドラインに慣れており `uv` 環境を自分でインストールできる場合は、`uv` ワンクリックデプロイをおすすめします ⚡️:
AstrBot を素早く試したいユーザーは、`uv` を使ったワンクリックデプロイをおすすめします ⚡️:
```bash
uv tool install astrbot
astrbot init # 初回のみ実行して環境を初期化します
astrbot run
astrbot
```
> [uv](https://docs.astral.sh/uv/) のインストールが必要です。
> [!NOTE]
> macOS ユーザーの場合:macOS のセキュリティチェックにより、`astrbot` コマンドの初回実行に時間がかかる場合があります(約 10〜20 秒)。
`astrbot` の更新:
```bash
uv tool upgrade astrbot
```
### Docker デプロイ
コンテナ運用に慣れており、より安定した本番向けのデプロイ方法を求めるユーザーには、Docker / Docker Compose で AstrBot デプロイをおすすめします。
より安定した本番向けのデプロイを求めるユーザーには、Docker / Docker Compose で AstrBot デプロイすることをおすすめします。
公式ドキュメント [Docker を使用した AstrBot のデプロイ](https://astrbot.app/deploy/astrbot/docker.html#%E4%BD%BF%E7%94%A8-docker-%E9%83%A8%E7%BD%B2-astrbot) をご参照ください。
### 雨云でのデプロイ
AstrBot をワンクリックでデプロイしたく、サーバーを自分で管理したくないユーザーには、雨云のワンクリッククラウドデプロイサービスをおすすめします ☁️:
サーバー管理をせずに AstrBot をワンクリックでデプロイしたいユーザーには、雨云のワンクリッククラウドデプロイサービスをおすすめします ☁️:
[![Deploy on RainYun](https://rainyun-apps.cn-nb1.rains3.com/materials/deploy-on-rainyun-en.svg)](https://app.rainyun.com/apps/rca/store/5994?ref=NjU1ODg0)
### デスクトップアプリのデプロイ
### デスクトップクライアント(Tauri
デスクトップで AstrBot を使い、主に ChatUI を入口として利用するユーザーには、AstrBot App をおすすめします
デスクトップで AstrBot を使いたいユーザーで、主に AstrBot ChatUI を利用し、AstrBot プラグインの利用頻度が低い場合は、AstrBot App の利用をおすすめします:
[AstrBot-desktop](https://github.com/AstrBotDevs/AstrBot-desktop) からダウンロードしてインストールしてください。この方式はデスクトップ向けであり、サーバー用途には推奨されません
デスクトップアプリのリポジトリ [AstrBot-desktop](https://github.com/AstrBotDevs/AstrBot-desktop)。
### ランチャーのデプロイ
マルチシステムアーキテクチャに対応し、インストーラーですぐ利用可能。初心者にも使いやすいワンクリックのデスクトップデプロイ方式です。サーバー用途には推奨されません。
同じくデスクトップで、素早くデプロイしつつ環境を分離して多重起動したいユーザーには、AstrBot Launcher をおすすめします。
### ランチャーによるワンクリックデプロイ(AstrBot Launcher
[AstrBot Launcher](https://github.com/Raven95676/astrbot-launcher) からダウンロードしてインストールしてください。
高速デプロイと環境分離されたマルチインスタンス運用を求めるユーザーには、AstrBot Launcher の利用をおすすめします:
[AstrBot Launcher](https://github.com/Raven95676/astrbot-launcher) リポジトリにアクセスし、最新リリースからお使いの OS 向けパッケージをインストールしてください。
高速デプロイと環境分離されたマルチインスタンス運用を実現できます。
### Replit でのデプロイ
Replit デプロイはコミュニティ提供の方式で、オンラインデモや軽量な試用に向いています
コミュニティ貢献によるデプロイ方法
[![Run on Repl.it](https://repl.it/badge/github/AstrBotDevs/AstrBot)](https://repl.it/github/AstrBotDevs/AstrBot)
### AUR
AUR 方式は Arch Linux ユーザー向けで、システムのパッケージ運用に合わせて AstrBot を導入したい場合に適しています。
次のコマンドで `astrbot-git` をインストールし、ローカル環境で AstrBot を起動してください。
```bash
yay -S astrbot-git
```
**その他のデプロイ方法**
パネル操作での導入やより高度なカスタマイズが必要な場合は、[宝塔パネルデプロイ](https://astrbot.app/deploy/astrbot/btpanel.html)BT Panel 経由の導入)、[1Panel デプロイ](https://astrbot.app/deploy/astrbot/1panel.html)(1Panel アプリマーケット経由)、[CasaOS デプロイ](https://astrbot.app/deploy/astrbot/casaos.html)(NAS / ホームサーバー向け可視化導入)、[手動デプロイ](https://astrbot.app/deploy/astrbot/cli.html)`uv` とソースベースのフルカスタム導入)を参照してください。
**その他のデプロイ方法**[宝塔パネルデプロイ](https://astrbot.app/deploy/astrbot/btpanel.html) | [1Panel デプロイ](https://astrbot.app/deploy/astrbot/1panel.html) | [CasaOS デプロイ](https://astrbot.app/deploy/astrbot/casaos.html) | [手動デプロイ](https://astrbot.app/deploy/astrbot/cli.html)
## サポートされているメッセージプラットフォーム
@@ -223,7 +212,6 @@ pre-commit install
- 5群: 822130018
- 6群: 753075035
- 開発者群: 975206796
- 開発者群(正式): 1039761811
### Discord サーバー
+17 -29
View File
@@ -73,68 +73,57 @@ AstrBot — это универсальная платформа Agent-чатб
### Развёртывание в один клик
Для пользователей, которые хотят быстро попробовать AstrBot, знакомы с командной строкой и могут самостоятельно установить окружение `uv`, мы рекомендуем использовать развёртывание в один клик через `uv` ⚡️:
Для пользователей, которые хотят быстро попробовать AstrBot, мы рекомендуем использовать развёртывание в один клик через `uv` ⚡️:
```bash
uv tool install astrbot
astrbot init # Выполните эту команду только при первом запуске для инициализации окружения
astrbot run
astrbot
```
> Требуется установленный [uv](https://docs.astral.sh/uv/).
> [!NOTE]
> Для пользователей macOS: из-за проверок безопасности macOS первый запуск команды `astrbot` может занять больше времени (около 10-20 секунд).
Обновить `astrbot`:
```bash
uv tool upgrade astrbot
```
### Развёртывание Docker
Для пользователей, знакомых с контейнерами и которым нужен более стабильный и подходящий для production способ, мы рекомендуем разворачивать AstrBot через Docker / Docker Compose.
Для пользователей, которым нужен более стабильный и готовый к production вариант, мы рекомендуем развёртывать AstrBot через Docker / Docker Compose.
См. официальную документацию [Развёртывание AstrBot с Docker](https://astrbot.app/deploy/astrbot/docker.html#%E4%BD%BF%E7%94%A8-docker-%E9%83%A8%E7%BD%B2-astrbot).
См. официальную документацию: [Развёртывание AstrBot с Docker](https://astrbot.app/deploy/astrbot/docker.html#%E4%BD%BF%E7%94%A8-docker-%E9%83%A8%E7%BD%B2-astrbot).
### Развёртывание на RainYun
Для пользователей, которые хотят развернуть AstrBot в один клик и не хотят самостоятельно управлять сервером, мы рекомендуем облачный сервис развёртывания в один клик от RainYun ☁️:
Для пользователей, которые хотят развернуть AstrBot в один клик и не управлять сервером самостоятельно, мы рекомендуем облачный сервис развёртывания в один клик от RainYun ☁️:
[![Deploy on RainYun](https://rainyun-apps.cn-nb1.rains3.com/materials/deploy-on-rainyun-en.svg)](https://app.rainyun.com/apps/rca/store/5994?ref=NjU1ODg0)
### Развёртывание десктопного приложения
### Десктопное приложение (Tauri)
Для пользователей, которые хотят использовать AstrBot на десктопе и в основном работают через ChatUI, мы рекомендуем AstrBot App.
Для пользователей, которые хотят использовать AstrBot на десктопе, в основном работают с AstrBot ChatUI и редко используют плагины AstrBot, мы рекомендуем AstrBot App:
Перейдите в [AstrBot-desktop](https://github.com/AstrBotDevs/AstrBot-desktop), скачайте и установите приложение; этот вариант предназначен для десктопа и не рекомендуется для серверных сценариев.
Репозиторий десктопного приложения: [AstrBot-desktop](https://github.com/AstrBotDevs/AstrBot-desktop).
### Развёртывание через лаунчер
Поддерживает разные архитектуры систем, устанавливается напрямую и работает сразу после установки. Удобное настольное развёртывание в один клик для новичков. Не рекомендуется для серверных сценариев.
Также на десктопе, для пользователей, которым нужен быстрый запуск и мультиинстанс с изоляцией окружений, мы рекомендуем AstrBot Launcher.
### Установка в один клик через лаунчер (AstrBot Launcher)
Перейдите в [AstrBot Launcher](https://github.com/Raven95676/astrbot-launcher), чтобы скачать и установить.
Для пользователей, которым нужно быстрое развёртывание и мультиинстанс с изоляцией окружений, мы рекомендуем использовать AstrBot Launcher:
Перейдите в репозиторий [AstrBot Launcher](https://github.com/Raven95676/astrbot-launcher), откройте Releases и установите пакет для вашей системы из последней версии.
Быстрое развёртывание и мультиинстанс-решение с изоляцией окружений.
### Развёртывание на Replit
Развёртывание через Replit поддерживается сообществом и подходит для онлайн-демо и лёгких тестовых запусков.
Метод развёртывания от сообщества.
[![Run on Repl.it](https://repl.it/badge/github/AstrBotDevs/AstrBot)](https://repl.it/github/AstrBotDevs/AstrBot)
### AUR
AUR-вариант предназначен для пользователей Arch Linux, которым удобна установка через системный менеджер пакетов.
Выполните команду ниже для установки `astrbot-git`, затем запустите AstrBot локально.
```bash
yay -S astrbot-git
```
**Другие способы развёртывания**
Если вам нужна панельная установка или более глубокая кастомизация, смотрите [Развёртывание BT-Panel](https://astrbot.app/deploy/astrbot/btpanel.html) (установка через BT Panel), [Развёртывание 1Panel](https://astrbot.app/deploy/astrbot/1panel.html) (развёртывание через маркетплейс 1Panel), [Развёртывание CasaOS](https://astrbot.app/deploy/astrbot/casaos.html) (визуальный вариант для NAS и домашних серверов) и [Ручное развёртывание](https://astrbot.app/deploy/astrbot/cli.html) (полностью настраиваемая установка из исходников через `uv`).
**Другие способы развёртывания**: [Развёртывание BT-Panel](https://astrbot.app/deploy/astrbot/btpanel.html) | [Развёртывание 1Panel](https://astrbot.app/deploy/astrbot/1panel.html) | [Развёртывание CasaOS](https://astrbot.app/deploy/astrbot/casaos.html) | [Ручное развёртывание](https://astrbot.app/deploy/astrbot/cli.html)
## Поддерживаемые платформы обмена сообщениями
@@ -222,7 +211,6 @@ pre-commit install
- Группа 5: 822130018
- Группа 6: 753075035
- Группа разработчиков: 975206796
- Группа разработчиков (официальная): 1039761811
### Сервер Discord
+17 -33
View File
@@ -73,30 +73,21 @@ AstrBot 是一個開源的一站式 Agent 聊天機器人平台,可接入主
### 一鍵部署
對於想快速體驗 AstrBot、且熟悉命令列並能自行安裝 `uv` 環境的使用者,我們推薦使用 `uv` 一鍵部署方式 ⚡️
對於想快速體驗 AstrBot 的使用者,我們推薦使用 `uv` 一鍵部署方式 ⚡️
```bash
uv tool install astrbot
astrbot init # 僅首次執行此命令以初始化環境
astrbot run
astrbot
```
> 需要安裝 [uv](https://docs.astral.sh/uv/)。
> [!NOTE]
> 對於 macOS 使用者:由於 macOS 安全性檢查,首次執行 `astrbot` 指令可能需要較長時間(約 10-20 秒)。
更新 `astrbot`
```bash
uv tool upgrade astrbot
```
### Docker 部署
對於熟悉容器、希望獲得更穩定更適合正式環境部署方式的使用者,我們推薦使用 Docker / Docker Compose 部署 AstrBot。
對於希望獲得更穩定更適合正式環境部署方式的使用者,我們推薦使用 Docker / Docker Compose 部署 AstrBot。
請參官方文件 [使用 Docker 部署 AstrBot](https://astrbot.app/deploy/astrbot/docker.html#%E4%BD%BF%E7%94%A8-docker-%E9%83%A8%E7%BD%B2-astrbot)。
請參官方文件 [使用 Docker 部署 AstrBot](https://astrbot.app/deploy/astrbot/docker.html#%E4%BD%BF%E7%94%A8-docker-%E9%83%A8%E7%BD%B2-astrbot)。
### 在雨雲上部署
@@ -104,37 +95,35 @@ uv tool upgrade astrbot
[![Deploy on RainYun](https://rainyun-apps.cn-nb1.rains3.com/materials/deploy-on-rainyun-en.svg)](https://app.rainyun.com/apps/rca/store/5994?ref=NjU1ODg0)
### 桌面客戶端部署
### 桌面客戶端Tauri
對於希望在桌面端使用 AstrBot、以 ChatUI 為主要入口的使用者,我們推薦使用 AstrBot App
對於希望在桌面部署 AstrBot、以 AstrBot ChatUI 為主要使用方式、較少使用 AstrBot 外掛的使用者,我們推薦使用 AstrBot App
前往 [AstrBot-desktop](https://github.com/AstrBotDevs/AstrBot-desktop) 下載並安裝;此方式面向桌面使用,不建議伺服器場景
桌面應用倉庫 [AstrBot-desktop](https://github.com/AstrBotDevs/AstrBot-desktop)。
### 啟動器部署
支援多系統架構,安裝包直接安裝,開箱即用,最適合新手和懶人的一鍵桌面部署方案,不推薦伺服器場景。
同樣在桌面端,對於希望快速部署並實現環境隔離多開的使用者,我們推薦使用 AstrBot Launcher
### 啟動器一鍵部署(AstrBot Launcher
前往 [AstrBot Launcher](https://github.com/Raven95676/astrbot-launcher) 下載並安裝。
對於希望快速部署並實現環境隔離多開的使用者,我們推薦使用 AstrBot Launcher
進入 [AstrBot Launcher](https://github.com/Raven95676/astrbot-launcher) 倉庫,在 Releases 頁最新版本下找到對應的系統安裝包安裝即可。
一個快速部署和多開方案,實現環境隔離。
### 在 Replit 上部署
Replit 部署由社群維護,適合線上示範與輕量試用情境
社群貢獻的部署方式
[![Run on Repl.it](https://repl.it/badge/github/AstrBotDevs/AstrBot)](https://repl.it/github/AstrBotDevs/AstrBot)
### AUR
AUR 方式面向 Arch Linux 使用者,適合希望透過系統套件管理器安裝 AstrBot 的場景。
在終端執行下方命令安裝 `astrbot-git` 套件,安裝完成後即可啟動使用。
```bash
yay -S astrbot-git
```
**更多部署方式**
若你需要面板化或更高自訂程度的部署,可參考 [寶塔面板](https://astrbot.app/deploy/astrbot/btpanel.html)(BT Panel 應用商店安裝)、[1Panel](https://astrbot.app/deploy/astrbot/1panel.html)1Panel 應用商店安裝)、[CasaOS](https://astrbot.app/deploy/astrbot/casaos.html)(NAS / 家用伺服器可視化部署)與 [手動部署](https://astrbot.app/deploy/astrbot/cli.html)(基於原始碼與 `uv` 的完整自訂安裝)。
**更多部署方式**[寶塔面板](https://astrbot.app/deploy/astrbot/btpanel.html) | [1Panel](https://astrbot.app/deploy/astrbot/1panel.html) | [CasaOS](https://astrbot.app/deploy/astrbot/casaos.html) | [手動部署](https://astrbot.app/deploy/astrbot/cli.html)
## 支援的訊息平台
@@ -217,16 +206,11 @@ pre-commit install
### QQ 群組
- 9 群: 1076659624 (新)
- 10 群: 1078079676 (新)
- 1 群:322154837
- 3 群:630166526
- 5 群:822130018
- 6 群:753075035
- 7 群:743746109
- 8 群:1030353265
- 開發者群(闲聊吹水):975206796
- 開發者群(正式):1039761811
- 開發者群:975206796
### Discord 群組
+17 -31
View File
@@ -73,30 +73,21 @@ AstrBot 是一个开源的一站式 Agentic 个人和群聊助手,可在 QQ、
### 一键部署
对于想快速体验 AstrBot、且熟悉命令行并能够自行安装 `uv` 环境的用户,我们推荐使用 `uv` 一键部署方式 ⚡️
对于想快速体验 AstrBot 的用户,我们推荐使用 `uv` 一键部署方式 ⚡️
```bash
uv tool install astrbot
astrbot init # 仅首次执行此命令以初始化环境
astrbot run
astrbot
```
> 需要安装 [uv](https://docs.astral.sh/uv/)。
> [!NOTE]
> 对于 macOS 用户:由于 macOS 安全检查,首次运行 `astrbot` 命令可能需要较长时间(约 10-20 秒)。
更新 `astrbot`
```bash
uv tool upgrade astrbot
```
### Docker 部署
对于熟悉容器、希望获得更稳定更适合生产环境部署方式的用户,我们推荐使用 Docker / Docker Compose 部署 AstrBot。
对于希望获得更稳定更适合生产环境部署方式的用户,我们推荐使用 Docker / Docker Compose 部署 AstrBot。
请参官方文档 [使用 Docker 部署 AstrBot](https://astrbot.app/deploy/astrbot/docker.html#%E4%BD%BF%E7%94%A8-docker-%E9%83%A8%E7%BD%B2-astrbot)。
请参官方文档 [使用 Docker 部署 AstrBot](https://astrbot.app/deploy/astrbot/docker.html#%E4%BD%BF%E7%94%A8-docker-%E9%83%A8%E7%BD%B2-astrbot)
### 在 雨云 上部署
@@ -104,37 +95,35 @@ uv tool upgrade astrbot
[![Deploy on RainYun](https://rainyun-apps.cn-nb1.rains3.com/materials/deploy-on-rainyun-en.svg)](https://app.rainyun.com/apps/rca/store/5994?ref=NjU1ODg0)
### 桌面客户端部署
### 桌面客户端Tauri
对于希望在桌面端使用 AstrBot、以 ChatUI 为主要入口的用户,我们推荐使用 AstrBot App
对于希望在桌面部署 AstrBot、以 AstrBot ChatUI 为主要使用方式、较少使用 AstrBot 插件的用户,我们推荐使用 AstrBot App
前往 [AstrBot-desktop](https://github.com/AstrBotDevs/AstrBot-desktop) 下载并安装;该方式面向桌面使用,不推荐服务器场景
桌面应用仓库 [AstrBot-desktop](https://github.com/AstrBotDevs/AstrBot-desktop)。
### 启动器部署
支持多系统架构,安装包直接安装,开箱即用,最适合新手和懒人的一键桌面部署方案,不推荐服务器场景。
同样在桌面端,希望快速部署并实现环境隔离多开的用户,我们推荐使用 AstrBot Launcher
### 启动器一键部署(AstrBot Launcher
前往 [AstrBot Launcher](https://github.com/Raven95676/astrbot-launcher) 下载并安装。
对于希望快速部署并实现环境隔离多开的用户,我们推荐使用 AstrBot Launcher
进入 [AstrBot Launcher](https://github.com/Raven95676/astrbot-launcher) 仓库,在 Releases 页最新版本下找到对应的系统安装包安装即可。
一个快速部署和多开方案,实现环境隔离。
### 在 Replit 上部署
Replit 部署由社区维护,适合在线演示和轻量试用场景
社区贡献的部署方式
[![Run on Repl.it](https://repl.it/badge/github/AstrBotDevs/AstrBot)](https://repl.it/github/AstrBotDevs/AstrBot)
### AUR
AUR 方式面向 Arch Linux 用户,适合希望通过系统包管理器安装 AstrBot 的场景。
在终端执行下方命令安装 `astrbot-git` 包,安装完成后即可启动使用。
```bash
yay -S astrbot-git
```
**更多部署方式**
若你需要面板化或更高自定义部署,可参考 [宝塔面板](https://astrbot.app/deploy/astrbot/btpanel.html)(BT Panel 应用商店安装)、[1Panel](https://astrbot.app/deploy/astrbot/1panel.html)1Panel 应用商店安装)、[CasaOS](https://astrbot.app/deploy/astrbot/casaos.html)(NAS / 家庭服务器可视化部署)和 [手动部署](https://astrbot.app/deploy/astrbot/cli.html)(基于源码与 `uv` 的完整自定义安装)。
**更多部署方式**[宝塔面板](https://astrbot.app/deploy/astrbot/btpanel.html) | [1Panel](https://astrbot.app/deploy/astrbot/1panel.html) | [CasaOS](https://astrbot.app/deploy/astrbot/casaos.html) | [手动部署](https://astrbot.app/deploy/astrbot/cli.html)
## 支持的消息平台
@@ -218,16 +207,13 @@ pre-commit install
### QQ 群组
- 9 群: 1076659624 (新)
- 10 群: 1078079676 (新)
- 1 群:322154837
- 3 群:630166526
- 5 群:822130018
- 6 群:753075035
- 7 群:743746109
- 8 群:1030353265
- 开发者群(偏闲聊吹水)975206796
- 开发者群(正式):1039761811
- 开发者群:975206796
### Discord 频道
+10 -1
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@@ -8,7 +8,7 @@ from bs4 import BeautifulSoup
from readability import Document
from astrbot.api import AstrBotConfig, llm_tool, logger, sp, star
from astrbot.api.event import AstrMessageEvent, filter
from astrbot.api.event import AstrMessageEvent, MessageEventResult, filter
from astrbot.api.provider import ProviderRequest
from astrbot.core.provider.func_tool_manager import FunctionToolManager
@@ -196,6 +196,15 @@ class Main(star.Star):
)
return results
@filter.command("websearch")
async def websearch(self, event: AstrMessageEvent, oper: str | None = None) -> None:
"""网页搜索指令(已废弃)"""
event.set_result(
MessageEventResult().message(
"此指令已经被废弃,请在 WebUI 中开启或关闭网页搜索功能。",
),
)
@llm_tool(name="web_search")
async def search_from_search_engine(
self,
+1 -1
View File
@@ -1 +1 @@
__version__ = "4.20.1"
__version__ = "4.18.3"
+7 -7
View File
@@ -1,4 +1,4 @@
"""AstrBot CLI entry point"""
"""AstrBot CLI入口"""
import sys
@@ -29,23 +29,23 @@ def cli() -> None:
@click.command()
@click.argument("command_name", required=False, type=str)
def help(command_name: str | None) -> None:
"""Display help information for commands
"""显示命令的帮助信息
If COMMAND_NAME is provided, display detailed help for that command.
Otherwise, display general help information.
如果提供了 COMMAND_NAME,则显示该命令的详细帮助信息。
否则,显示通用帮助信息。
"""
ctx = click.get_current_context()
if command_name:
# Find the specified command
# 查找指定命令
command = cli.get_command(ctx, command_name)
if command:
# Display help for the specific command
# 显示特定命令的帮助信息
click.echo(command.get_help(ctx))
else:
click.echo(f"Unknown command: {command_name}")
sys.exit(1)
else:
# Display general help information
# 显示通用帮助信息
click.echo(cli.get_help(ctx))
+43 -47
View File
@@ -10,61 +10,57 @@ from ..utils import check_astrbot_root, get_astrbot_root
def _validate_log_level(value: str) -> str:
"""Validate log level"""
"""验证日志级别"""
value = value.upper()
if value not in ["DEBUG", "INFO", "WARNING", "ERROR", "CRITICAL"]:
raise click.ClickException(
"Log level must be one of DEBUG/INFO/WARNING/ERROR/CRITICAL",
"日志级别必须是 DEBUG/INFO/WARNING/ERROR/CRITICAL 之一",
)
return value
def _validate_dashboard_port(value: str) -> int:
"""Validate Dashboard port"""
"""验证 Dashboard 端口"""
try:
port = int(value)
if port < 1 or port > 65535:
raise click.ClickException("Port must be in range 1-65535")
raise click.ClickException("端口必须在 1-65535 范围内")
return port
except ValueError:
raise click.ClickException("Port must be a number")
raise click.ClickException("端口必须是数字")
def _validate_dashboard_username(value: str) -> str:
"""Validate Dashboard username"""
"""验证 Dashboard 用户名"""
if not value:
raise click.ClickException("Username cannot be empty")
raise click.ClickException("用户名不能为空")
return value
def _validate_dashboard_password(value: str) -> str:
"""Validate Dashboard password"""
"""验证 Dashboard 密码"""
if not value:
raise click.ClickException("Password cannot be empty")
raise click.ClickException("密码不能为空")
return hashlib.md5(value.encode()).hexdigest()
def _validate_timezone(value: str) -> str:
"""Validate timezone"""
"""验证时区"""
try:
zoneinfo.ZoneInfo(value)
except Exception:
raise click.ClickException(
f"Invalid timezone: {value}. Please use a valid IANA timezone name"
)
raise click.ClickException(f"无效的时区: {value},请使用有效的IANA时区名称")
return value
def _validate_callback_api_base(value: str) -> str:
"""Validate callback API base URL"""
"""验证回调接口基址"""
if not value.startswith("http://") and not value.startswith("https://"):
raise click.ClickException(
"Callback API base must start with http:// or https://"
)
raise click.ClickException("回调接口基址必须以 http:// 或 https:// 开头")
return value
# Configuration items settable via CLI, mapping config keys to validator functions
# 可通过CLI设置的配置项,配置键到验证器函数的映射
CONFIG_VALIDATORS: dict[str, Callable[[str], Any]] = {
"timezone": _validate_timezone,
"log_level": _validate_log_level,
@@ -76,11 +72,11 @@ CONFIG_VALIDATORS: dict[str, Callable[[str], Any]] = {
def _load_config() -> dict[str, Any]:
"""Load or initialize config file"""
"""加载或初始化配置文件"""
root = get_astrbot_root()
if not check_astrbot_root(root):
raise click.ClickException(
f"{root} is not a valid AstrBot root directory. Use 'astrbot init' to initialize",
f"{root}不是有效的 AstrBot 根目录,如需初始化请使用 astrbot init",
)
config_path = root / "data" / "cmd_config.json"
@@ -95,11 +91,11 @@ def _load_config() -> dict[str, Any]:
try:
return json.loads(config_path.read_text(encoding="utf-8-sig"))
except json.JSONDecodeError as e:
raise click.ClickException(f"Failed to parse config file: {e!s}")
raise click.ClickException(f"配置文件解析失败: {e!s}")
def _save_config(config: dict[str, Any]) -> None:
"""Save config file"""
"""保存配置文件"""
config_path = get_astrbot_root() / "data" / "cmd_config.json"
config_path.write_text(
@@ -109,21 +105,21 @@ def _save_config(config: dict[str, Any]) -> None:
def _set_nested_item(obj: dict[str, Any], path: str, value: Any) -> None:
"""Set a value in a nested dictionary"""
"""设置嵌套字典中的值"""
parts = path.split(".")
for part in parts[:-1]:
if part not in obj:
obj[part] = {}
elif not isinstance(obj[part], dict):
raise click.ClickException(
f"Config path conflict: {'.'.join(parts[: parts.index(part) + 1])} is not a dict",
f"配置路径冲突: {'.'.join(parts[: parts.index(part) + 1])} 不是字典",
)
obj = obj[part]
obj[parts[-1]] = value
def _get_nested_item(obj: dict[str, Any], path: str) -> Any:
"""Get a value from a nested dictionary"""
"""获取嵌套字典中的值"""
parts = path.split(".")
for part in parts:
obj = obj[part]
@@ -132,21 +128,21 @@ def _get_nested_item(obj: dict[str, Any], path: str) -> Any:
@click.group(name="conf")
def conf() -> None:
"""Configuration management commands
"""配置管理命令
Supported config keys:
支持的配置项:
- timezone: Timezone setting (e.g. Asia/Shanghai)
- timezone: 时区设置 (例如: Asia/Shanghai)
- log_level: Log level (DEBUG/INFO/WARNING/ERROR/CRITICAL)
- log_level: 日志级别 (DEBUG/INFO/WARNING/ERROR/CRITICAL)
- dashboard.port: Dashboard port
- dashboard.port: Dashboard 端口
- dashboard.username: Dashboard username
- dashboard.username: Dashboard 用户名
- dashboard.password: Dashboard password
- dashboard.password: Dashboard 密码
- callback_api_base: Callback API base URL
- callback_api_base: 回调接口基址
"""
@@ -154,9 +150,9 @@ def conf() -> None:
@click.argument("key")
@click.argument("value")
def set_config(key: str, value: str) -> None:
"""Set the value of a config item"""
"""设置配置项的值"""
if key not in CONFIG_VALIDATORS:
raise click.ClickException(f"Unsupported config key: {key}")
raise click.ClickException(f"不支持的配置项: {key}")
config = _load_config()
@@ -166,29 +162,29 @@ def set_config(key: str, value: str) -> None:
_set_nested_item(config, key, validated_value)
_save_config(config)
click.echo(f"Config updated: {key}")
click.echo(f"配置已更新: {key}")
if key == "dashboard.password":
click.echo(" Old value: ********")
click.echo(" New value: ********")
click.echo(" 原值: ********")
click.echo(" 新值: ********")
else:
click.echo(f" Old value: {old_value}")
click.echo(f" New value: {validated_value}")
click.echo(f" 原值: {old_value}")
click.echo(f" 新值: {validated_value}")
except KeyError:
raise click.ClickException(f"Unknown config key: {key}")
raise click.ClickException(f"未知的配置项: {key}")
except Exception as e:
raise click.UsageError(f"Failed to set config: {e!s}")
raise click.UsageError(f"设置配置失败: {e!s}")
@conf.command(name="get")
@click.argument("key", required=False)
def get_config(key: str | None = None) -> None:
"""Get the value of a config item. If no key is provided, show all configurable items"""
"""获取配置项的值,不提供key则显示所有可配置项"""
config = _load_config()
if key:
if key not in CONFIG_VALIDATORS:
raise click.ClickException(f"Unsupported config key: {key}")
raise click.ClickException(f"不支持的配置项: {key}")
try:
value = _get_nested_item(config, key)
@@ -196,11 +192,11 @@ def get_config(key: str | None = None) -> None:
value = "********"
click.echo(f"{key}: {value}")
except KeyError:
raise click.ClickException(f"Unknown config key: {key}")
raise click.ClickException(f"未知的配置项: {key}")
except Exception as e:
raise click.UsageError(f"Failed to get config: {e!s}")
raise click.UsageError(f"获取配置失败: {e!s}")
else:
click.echo("Current config:")
click.echo("当前配置:")
for key in CONFIG_VALIDATORS:
try:
value = (
+9 -8
View File
@@ -8,12 +8,16 @@ from ..utils import check_dashboard, get_astrbot_root
async def initialize_astrbot(astrbot_root: Path) -> None:
"""Execute AstrBot initialization logic"""
"""执行 AstrBot 初始化逻辑"""
dot_astrbot = astrbot_root / ".astrbot"
if not dot_astrbot.exists():
click.echo(f"Current Directory: {astrbot_root}")
click.echo(
"如果你确认这是 Astrbot root directory, 你需要在当前目录下创建一个 .astrbot 文件标记该目录为 AstrBot 的数据目录。",
)
if click.confirm(
f"Install AstrBot to this directory? {astrbot_root}",
f"请检查当前目录是否正确,确认正确请回车: {astrbot_root}",
default=True,
abort=True,
):
@@ -36,7 +40,7 @@ async def initialize_astrbot(astrbot_root: Path) -> None:
@click.command()
def init() -> None:
"""Initialize AstrBot"""
"""初始化 AstrBot"""
click.echo("Initializing AstrBot...")
astrbot_root = get_astrbot_root()
lock_file = astrbot_root / "astrbot.lock"
@@ -45,11 +49,8 @@ def init() -> None:
try:
with lock.acquire():
asyncio.run(initialize_astrbot(astrbot_root))
click.echo("Done! You can now run 'astrbot run' to start AstrBot")
except Timeout:
raise click.ClickException(
"Cannot acquire lock file. Please check if another instance is running"
)
raise click.ClickException("无法获取锁文件,请检查是否有其他实例正在运行")
except Exception as e:
raise click.ClickException(f"Initialization failed: {e!s}")
raise click.ClickException(f"初始化失败: {e!s}")
+46 -54
View File
@@ -16,14 +16,14 @@ from ..utils import (
@click.group()
def plug() -> None:
"""Plugin management"""
"""插件管理"""
def _get_data_path() -> Path:
base = get_astrbot_root()
if not check_astrbot_root(base):
raise click.ClickException(
f"{base} is not a valid AstrBot root directory. Use 'astrbot init' to initialize",
f"{base}不是有效的 AstrBot 根目录,如需初始化请使用 astrbot init",
)
return (base / "data").resolve()
@@ -32,9 +32,7 @@ def display_plugins(plugins, title=None, color=None) -> None:
if title:
click.echo(click.style(title, fg=color, bold=True))
click.echo(
f"{'Name':<20} {'Version':<10} {'Status':<10} {'Author':<15} {'Description':<30}"
)
click.echo(f"{'名称':<20} {'版本':<10} {'状态':<10} {'作者':<15} {'描述':<30}")
click.echo("-" * 85)
for p in plugins:
@@ -48,30 +46,30 @@ def display_plugins(plugins, title=None, color=None) -> None:
@plug.command()
@click.argument("name")
def new(name: str) -> None:
"""Create a new plugin"""
"""创建新插件"""
base_path = _get_data_path()
plug_path = base_path / "plugins" / name
if plug_path.exists():
raise click.ClickException(f"Plugin {name} already exists")
raise click.ClickException(f"插件 {name} 已存在")
author = click.prompt("Enter plugin author", type=str)
desc = click.prompt("Enter plugin description", type=str)
version = click.prompt("Enter plugin version", type=str)
author = click.prompt("请输入插件作者", type=str)
desc = click.prompt("请输入插件描述", type=str)
version = click.prompt("请输入插件版本", type=str)
if not re.match(r"^\d+\.\d+(\.\d+)?$", version.lower().lstrip("v")):
raise click.ClickException("Version must be in x.y or x.y.z format")
repo = click.prompt("Enter plugin repository URL:", type=str)
raise click.ClickException("版本号必须为 x.y x.y.z 格式")
repo = click.prompt("请输入插件仓库:", type=str)
if not repo.startswith("http"):
raise click.ClickException("Repository URL must start with http")
raise click.ClickException("仓库地址必须以 http 开头")
click.echo("Downloading plugin template...")
click.echo("下载插件模板...")
get_git_repo(
"https://github.com/Soulter/helloworld",
plug_path,
)
click.echo("Rewriting plugin metadata...")
# Rewrite metadata.yaml
click.echo("重写插件信息...")
# 重写 metadata.yaml
with open(plug_path / "metadata.yaml", "w", encoding="utf-8") as f:
f.write(
f"name: {name}\n"
@@ -81,13 +79,11 @@ def new(name: str) -> None:
f"repo: {repo}\n",
)
# Rewrite README.md
# 重写 README.md
with open(plug_path / "README.md", "w", encoding="utf-8") as f:
f.write(
f"# {name}\n\n{desc}\n\n# Support\n\n[Documentation](https://astrbot.app)\n"
)
f.write(f"# {name}\n\n{desc}\n\n# 支持\n\n[帮助文档](https://astrbot.app)\n")
# Rewrite main.py
# 重写 main.py
with open(plug_path / "main.py", encoding="utf-8") as f:
content = f.read()
@@ -99,54 +95,54 @@ def new(name: str) -> None:
with open(plug_path / "main.py", "w", encoding="utf-8") as f:
f.write(new_content)
click.echo(f"Plugin {name} created successfully")
click.echo(f"插件 {name} 创建成功")
@plug.command()
@click.option("--all", "-a", is_flag=True, help="List uninstalled plugins")
@click.option("--all", "-a", is_flag=True, help="列出未安装的插件")
def list(all: bool) -> None:
"""List plugins"""
"""列出插件"""
base_path = _get_data_path()
plugins = build_plug_list(base_path / "plugins")
# Unpublished plugins
# 未发布的插件
not_published_plugins = [
p for p in plugins if p["status"] == PluginStatus.NOT_PUBLISHED
]
if not_published_plugins:
display_plugins(not_published_plugins, "Unpublished Plugins", "red")
display_plugins(not_published_plugins, "未发布的插件", "red")
# Plugins needing update
# 需要更新的插件
need_update_plugins = [
p for p in plugins if p["status"] == PluginStatus.NEED_UPDATE
]
if need_update_plugins:
display_plugins(need_update_plugins, "Plugins Needing Update", "yellow")
display_plugins(need_update_plugins, "需要更新的插件", "yellow")
# Installed plugins
# 已安装的插件
installed_plugins = [p for p in plugins if p["status"] == PluginStatus.INSTALLED]
if installed_plugins:
display_plugins(installed_plugins, "Installed Plugins", "green")
display_plugins(installed_plugins, "已安装的插件", "green")
# Uninstalled plugins
# 未安装的插件
not_installed_plugins = [
p for p in plugins if p["status"] == PluginStatus.NOT_INSTALLED
]
if not_installed_plugins and all:
display_plugins(not_installed_plugins, "Uninstalled Plugins", "blue")
display_plugins(not_installed_plugins, "未安装的插件", "blue")
if (
not any([not_published_plugins, need_update_plugins, installed_plugins])
and not all
):
click.echo("No plugins installed")
click.echo("未安装任何插件")
@plug.command()
@click.argument("name")
@click.option("--proxy", help="Proxy server address")
@click.option("--proxy", help="代理服务器地址")
def install(name: str, proxy: str | None) -> None:
"""Install a plugin"""
"""安装插件"""
base_path = _get_data_path()
plug_path = base_path / "plugins"
plugins = build_plug_list(base_path / "plugins")
@@ -161,7 +157,7 @@ def install(name: str, proxy: str | None) -> None:
)
if not plugin:
raise click.ClickException(f"Plugin {name} not found or already installed")
raise click.ClickException(f"未找到可安装的插件 {name},可能是不存在或已安装")
manage_plugin(plugin, plug_path, is_update=False, proxy=proxy)
@@ -169,32 +165,30 @@ def install(name: str, proxy: str | None) -> None:
@plug.command()
@click.argument("name")
def remove(name: str) -> None:
"""Uninstall a plugin"""
"""卸载插件"""
base_path = _get_data_path()
plugins = build_plug_list(base_path / "plugins")
plugin = next((p for p in plugins if p["name"] == name), None)
if not plugin or not plugin.get("local_path"):
raise click.ClickException(f"Plugin {name} does not exist or is not installed")
raise click.ClickException(f"插件 {name} 不存在或未安装")
plugin_path = plugin["local_path"]
click.confirm(
f"Are you sure you want to uninstall plugin {name}?", default=False, abort=True
)
click.confirm(f"确定要卸载插件 {name} 吗?", default=False, abort=True)
try:
shutil.rmtree(plugin_path)
click.echo(f"Plugin {name} has been uninstalled")
click.echo(f"插件 {name} 已卸载")
except Exception as e:
raise click.ClickException(f"Failed to uninstall plugin {name}: {e}")
raise click.ClickException(f"卸载插件 {name} 失败: {e}")
@plug.command()
@click.argument("name", required=False)
@click.option("--proxy", help="GitHub proxy address")
@click.option("--proxy", help="Github代理地址")
def update(name: str, proxy: str | None) -> None:
"""Update plugins"""
"""更新插件"""
base_path = _get_data_path()
plug_path = base_path / "plugins"
plugins = build_plug_list(base_path / "plugins")
@@ -210,9 +204,7 @@ def update(name: str, proxy: str | None) -> None:
)
if not plugin:
raise click.ClickException(
f"Plugin {name} does not need updating or cannot be updated"
)
raise click.ClickException(f"插件 {name} 不需要更新或无法更新")
manage_plugin(plugin, plug_path, is_update=True, proxy=proxy)
else:
@@ -221,20 +213,20 @@ def update(name: str, proxy: str | None) -> None:
]
if not need_update_plugins:
click.echo("No plugins need updating")
click.echo("没有需要更新的插件")
return
click.echo(f"Found {len(need_update_plugins)} plugin(s) needing update")
click.echo(f"发现 {len(need_update_plugins)} 个插件需要更新")
for plugin in need_update_plugins:
plugin_name = plugin["name"]
click.echo(f"Updating plugin {plugin_name}...")
click.echo(f"正在更新插件 {plugin_name}...")
manage_plugin(plugin, plug_path, is_update=True, proxy=proxy)
@plug.command()
@click.argument("query")
def search(query: str) -> None:
"""Search for plugins"""
"""搜索插件"""
base_path = _get_data_path()
plugins = build_plug_list(base_path / "plugins")
@@ -247,7 +239,7 @@ def search(query: str) -> None:
]
if not matched_plugins:
click.echo(f"No plugins matching '{query}' found")
click.echo(f"未找到匹配 '{query}' 的插件")
return
display_plugins(matched_plugins, f"Search results: '{query}'", "cyan")
display_plugins(matched_plugins, f"搜索结果: '{query}'", "cyan")
+9 -11
View File
@@ -11,7 +11,7 @@ from ..utils import check_astrbot_root, check_dashboard, get_astrbot_root
async def run_astrbot(astrbot_root: Path) -> None:
"""Run AstrBot"""
"""运行 AstrBot"""
from astrbot.core import LogBroker, LogManager, db_helper, logger
from astrbot.core.initial_loader import InitialLoader
@@ -26,18 +26,18 @@ async def run_astrbot(astrbot_root: Path) -> None:
await core_lifecycle.start()
@click.option("--reload", "-r", is_flag=True, help="Auto-reload plugins")
@click.option("--port", "-p", help="AstrBot Dashboard port", required=False, type=str)
@click.option("--reload", "-r", is_flag=True, help="插件自动重载")
@click.option("--port", "-p", help="Astrbot Dashboard端口", required=False, type=str)
@click.command()
def run(reload: bool, port: str) -> None:
"""Run AstrBot"""
"""运行 AstrBot"""
try:
os.environ["ASTRBOT_CLI"] = "1"
astrbot_root = get_astrbot_root()
if not check_astrbot_root(astrbot_root):
raise click.ClickException(
f"{astrbot_root} is not a valid AstrBot root directory. Use 'astrbot init' to initialize",
f"{astrbot_root}不是有效的 AstrBot 根目录,如需初始化请使用 astrbot init",
)
os.environ["ASTRBOT_ROOT"] = str(astrbot_root)
@@ -47,7 +47,7 @@ def run(reload: bool, port: str) -> None:
os.environ["DASHBOARD_PORT"] = port
if reload:
click.echo("Plugin auto-reload enabled")
click.echo("启用插件自动重载")
os.environ["ASTRBOT_RELOAD"] = "1"
lock_file = astrbot_root / "astrbot.lock"
@@ -55,10 +55,8 @@ def run(reload: bool, port: str) -> None:
with lock.acquire():
asyncio.run(run_astrbot(astrbot_root))
except KeyboardInterrupt:
click.echo("AstrBot has been shut down.")
click.echo("AstrBot 已关闭...")
except Timeout:
raise click.ClickException(
"Cannot acquire lock file. Please check if another instance is running"
)
raise click.ClickException("无法获取锁文件,请检查是否有其他实例正在运行")
except Exception as e:
raise click.ClickException(f"Runtime error: {e}\n{traceback.format_exc()}")
raise click.ClickException(f"运行时出现错误: {e}\n{traceback.format_exc()}")
+13 -21
View File
@@ -2,12 +2,9 @@ from pathlib import Path
import click
# Static assets bundled inside the installed wheel (built by hatch_build.py).
_BUNDLED_DIST = Path(__file__).parent.parent.parent / "dashboard" / "dist"
def check_astrbot_root(path: str | Path) -> bool:
"""Check if the path is an AstrBot root directory"""
"""检查路径是否为 AstrBot 根目录"""
if not isinstance(path, Path):
path = Path(path)
if not path.exists() or not path.is_dir():
@@ -18,48 +15,43 @@ def check_astrbot_root(path: str | Path) -> bool:
def get_astrbot_root() -> Path:
"""Get the AstrBot root directory path"""
"""获取Astrbot根目录路径"""
return Path.cwd()
async def check_dashboard(astrbot_root: Path) -> None:
"""Check if the dashboard is installed"""
"""检查是否安装了dashboard"""
from astrbot.core.config.default import VERSION
from astrbot.core.utils.io import download_dashboard, get_dashboard_version
from .version_comparator import VersionComparator
# If the wheel ships bundled dashboard assets, no network download is needed.
if _BUNDLED_DIST.exists():
click.echo("Dashboard is bundled with the package skipping download.")
return
try:
dashboard_version = await get_dashboard_version()
match dashboard_version:
case None:
click.echo("Dashboard is not installed")
click.echo("未安装管理面板")
if click.confirm(
"Install dashboard?",
"是否安装管理面板?",
default=True,
abort=True,
):
click.echo("Installing dashboard...")
click.echo("正在安装管理面板...")
await download_dashboard(
path="data/dashboard.zip",
extract_path=str(astrbot_root),
version=f"v{VERSION}",
latest=False,
)
click.echo("Dashboard installed successfully")
click.echo("管理面板安装完成")
case str():
if VersionComparator.compare_version(VERSION, dashboard_version) <= 0:
click.echo("Dashboard is already up to date")
click.echo("管理面板已是最新版本")
return
try:
version = dashboard_version.split("v")[1]
click.echo(f"Dashboard version: {version}")
click.echo(f"管理面板版本: {version}")
await download_dashboard(
path="data/dashboard.zip",
extract_path=str(astrbot_root),
@@ -67,10 +59,10 @@ async def check_dashboard(astrbot_root: Path) -> None:
latest=False,
)
except Exception as e:
click.echo(f"Failed to download dashboard: {e}")
click.echo(f"下载管理面板失败: {e}")
return
except FileNotFoundError:
click.echo("Initializing dashboard directory...")
click.echo("初始化管理面板目录...")
try:
await download_dashboard(
path=str(astrbot_root / "dashboard.zip"),
@@ -78,7 +70,7 @@ async def check_dashboard(astrbot_root: Path) -> None:
version=f"v{VERSION}",
latest=False,
)
click.echo("Dashboard initialized successfully")
click.echo("管理面板初始化完成")
except Exception as e:
click.echo(f"Failed to download dashboard: {e}")
click.echo(f"下载管理面板失败: {e}")
return
+43 -47
View File
@@ -13,22 +13,22 @@ from .version_comparator import VersionComparator
class PluginStatus(str, Enum):
INSTALLED = "installed"
NEED_UPDATE = "needs-update"
NOT_INSTALLED = "not-installed"
NOT_PUBLISHED = "unpublished"
INSTALLED = "已安装"
NEED_UPDATE = "需更新"
NOT_INSTALLED = "未安装"
NOT_PUBLISHED = "未发布"
def get_git_repo(url: str, target_path: Path, proxy: str | None = None) -> None:
"""Download code from a Git repository and extract to the specified path"""
"""从 Git 仓库下载代码并解压到指定路径"""
temp_dir = Path(tempfile.mkdtemp())
try:
# Parse repository info
# 解析仓库信息
repo_namespace = url.split("/")[-2:]
author = repo_namespace[0]
repo = repo_namespace[1]
# Try to get the latest release
# 尝试获取最新的 release
release_url = f"https://api.github.com/repos/{author}/{repo}/releases"
try:
with httpx.Client(
@@ -40,21 +40,21 @@ def get_git_repo(url: str, target_path: Path, proxy: str | None = None) -> None:
releases = resp.json()
if releases:
# Use the latest release
# 使用最新的 release
download_url = releases[0]["zipball_url"]
else:
# No release found, use default branch
click.echo(f"Downloading {author}/{repo} from default branch")
# 没有 release,使用默认分支
click.echo(f"正在从默认分支下载 {author}/{repo}")
download_url = f"https://github.com/{author}/{repo}/archive/refs/heads/master.zip"
except Exception as e:
click.echo(f"Failed to get release info: {e}. Using provided URL directly")
click.echo(f"获取 release 信息失败: {e},将直接使用提供的 URL")
download_url = url
# Apply proxy
# 应用代理
if proxy:
download_url = f"{proxy}/{download_url}"
# Download and extract
# 下载并解压
with httpx.Client(
proxy=proxy if proxy else None,
follow_redirects=True,
@@ -65,7 +65,7 @@ def get_git_repo(url: str, target_path: Path, proxy: str | None = None) -> None:
and "archive/refs/heads/master.zip" in download_url
):
alt_url = download_url.replace("master.zip", "main.zip")
click.echo("Branch 'master' not found, trying 'main' branch")
click.echo("master 分支不存在,尝试下载 main 分支")
resp = client.get(alt_url)
resp.raise_for_status()
else:
@@ -84,13 +84,13 @@ def get_git_repo(url: str, target_path: Path, proxy: str | None = None) -> None:
def load_yaml_metadata(plugin_dir: Path) -> dict:
"""Load plugin metadata from metadata.yaml file
""" metadata.yaml 文件加载插件元数据
Args:
plugin_dir: Plugin directory path
plugin_dir: 插件目录路径
Returns:
dict: Dictionary containing metadata, or empty dict if loading fails
dict: 包含元数据的字典如果读取失败则返回空字典
"""
yaml_path = plugin_dir / "metadata.yaml"
@@ -98,33 +98,33 @@ def load_yaml_metadata(plugin_dir: Path) -> dict:
try:
return yaml.safe_load(yaml_path.read_text(encoding="utf-8")) or {}
except Exception as e:
click.echo(f"Failed to read {yaml_path}: {e}", err=True)
click.echo(f"读取 {yaml_path} 失败: {e}", err=True)
return {}
def build_plug_list(plugins_dir: Path) -> list:
"""Build plugin list containing local and online plugin information
"""构建插件列表,包含本地和在线插件信息
Args:
plugins_dir (Path): Plugin directory path
plugins_dir (Path): 插件目录路径
Returns:
list: List of dicts containing plugin information
list: 包含插件信息的字典列表
"""
# Get local plugin info
# 获取本地插件信息
result = []
if plugins_dir.exists():
for plugin_name in [d.name for d in plugins_dir.glob("*") if d.is_dir()]:
plugin_dir = plugins_dir / plugin_name
# Load metadata from metadata.yaml
# metadata.yaml 加载元数据
metadata = load_yaml_metadata(plugin_dir)
if "desc" not in metadata and "description" in metadata:
metadata["desc"] = metadata["description"]
# If metadata loaded successfully, add to result list
# 如果成功加载元数据,添加到结果列表
if metadata and all(
k in metadata for k in ["name", "desc", "version", "author", "repo"]
):
@@ -140,7 +140,7 @@ def build_plug_list(plugins_dir: Path) -> list:
},
)
# Get online plugin list
# 获取在线插件列表
online_plugins = []
try:
with httpx.Client() as client:
@@ -160,13 +160,13 @@ def build_plug_list(plugins_dir: Path) -> list:
},
)
except Exception as e:
click.echo(f"Failed to get online plugin list: {e}", err=True)
click.echo(f"获取在线插件列表失败: {e}", err=True)
# Compare with online plugins and update status
# 与在线插件比对,更新状态
online_plugin_names = {plugin["name"] for plugin in online_plugins}
for local_plugin in result:
if local_plugin["name"] in online_plugin_names:
# Find the corresponding online plugin
# 查找对应的在线插件
online_plugin = next(
p for p in online_plugins if p["name"] == local_plugin["name"]
)
@@ -179,10 +179,10 @@ def build_plug_list(plugins_dir: Path) -> list:
):
local_plugin["status"] = PluginStatus.NEED_UPDATE
else:
# Local plugin is not published online
# 本地插件未在线上发布
local_plugin["status"] = PluginStatus.NOT_PUBLISHED
# Add uninstalled online plugins
# 添加未安装的在线插件
for online_plugin in online_plugins:
if not any(plugin["name"] == online_plugin["name"] for plugin in result):
result.append(online_plugin)
@@ -196,19 +196,19 @@ def manage_plugin(
is_update: bool = False,
proxy: str | None = None,
) -> None:
"""Install or update a plugin
"""安装或更新插件
Args:
plugin (dict): Plugin info dict
plugins_dir (Path): Plugins directory
is_update (bool, optional): Whether this is an update operation. Defaults to False
proxy (str, optional): Proxy server address
plugin (dict): 插件信息字典
plugins_dir (Path): 插件目录
is_update (bool, optional): 是否为更新操作. 默认为 False
proxy (str, optional): 代理服务器地址
"""
plugin_name = plugin["name"]
repo_url = plugin["repo"]
# If updating and local path exists, use it directly
# 如果是更新且有本地路径,直接使用本地路径
if is_update and plugin.get("local_path"):
target_path = Path(plugin["local_path"])
else:
@@ -216,13 +216,11 @@ def manage_plugin(
backup_path = Path(f"{target_path}_backup") if is_update else None
# Check if plugin exists
# 检查插件是否存在
if is_update and not target_path.exists():
raise click.ClickException(
f"Plugin {plugin_name} is not installed and cannot be updated"
)
raise click.ClickException(f"插件 {plugin_name} 未安装,无法更新")
# Backup existing plugin
# 备份现有插件
if is_update and backup_path is not None and backup_path.exists():
shutil.rmtree(backup_path)
if is_update and backup_path is not None:
@@ -230,21 +228,19 @@ def manage_plugin(
try:
click.echo(
f"{'Updating' if is_update else 'Downloading'} plugin {plugin_name} from {repo_url}...",
f"正在从 {repo_url} {'更新' if is_update else '下载'}插件 {plugin_name}...",
)
get_git_repo(repo_url, target_path, proxy)
# Update succeeded, delete backup
# 更新成功,删除备份
if is_update and backup_path is not None and backup_path.exists():
shutil.rmtree(backup_path)
click.echo(
f"Plugin {plugin_name} {'updated' if is_update else 'installed'} successfully"
)
click.echo(f"插件 {plugin_name} {'更新' if is_update else '安装'}成功")
except Exception as e:
if target_path.exists():
shutil.rmtree(target_path, ignore_errors=True)
if is_update and backup_path is not None and backup_path.exists():
shutil.move(backup_path, target_path)
raise click.ClickException(
f"Error {'updating' if is_update else 'installing'} plugin {plugin_name}: {e}",
f"{'更新' if is_update else '安装'}插件 {plugin_name} 时出错: {e}",
)
+11 -11
View File
@@ -1,4 +1,4 @@
"""Copied from astrbot.core.utils.version_comparator"""
"""拷贝自 astrbot.core.utils.version_comparator"""
import re
@@ -6,11 +6,11 @@ import re
class VersionComparator:
@staticmethod
def compare_version(v1: str, v2: str) -> int:
"""Compare version numbers according to Semver semantics. Supports version numbers with more than 3 digits and handles pre-release tags.
"""根据 Semver 语义版本规范来比较版本号的大小。支持不仅局限于 3 个数字的版本号,并处理预发布标签。
Reference: https://semver.org/
参考: https://semver.org/lang/zh-CN/
Returns 1 if v1 > v2, -1 if v1 < v2, 0 if v1 == v2.
返回 1 表示 v1 > v2返回 -1 表示 v1 < v2返回 0 表示 v1 = v2
"""
v1 = v1.lower().replace("v", "")
v2 = v2.lower().replace("v", "")
@@ -24,7 +24,7 @@ class VersionComparator:
return [], None
major_minor_patch = match.group(1).split(".")
prerelease = match.group(2)
# buildmetadata = match.group(3) # Build metadata is ignored in comparison
# buildmetadata = match.group(3) # 构建元数据在比较时忽略
parts = [int(x) for x in major_minor_patch]
prerelease = VersionComparator._split_prerelease(prerelease)
return parts, prerelease
@@ -32,7 +32,7 @@ class VersionComparator:
v1_parts, v1_prerelease = split_version(v1)
v2_parts, v2_prerelease = split_version(v2)
# Compare numeric parts
# 比较数字部分
length = max(len(v1_parts), len(v2_parts))
v1_parts.extend([0] * (length - len(v1_parts)))
v2_parts.extend([0] * (length - len(v2_parts)))
@@ -43,11 +43,11 @@ class VersionComparator:
if v1_parts[i] < v2_parts[i]:
return -1
# Compare pre-release tags
# 比较预发布标签
if v1_prerelease is None and v2_prerelease is not None:
return 1 # Version without pre-release tag is higher than one with it
return 1 # 没有预发布标签的版本高于有预发布标签的版本
if v1_prerelease is not None and v2_prerelease is None:
return -1 # Version with pre-release tag is lower than one without it
return -1 # 有预发布标签的版本低于没有预发布标签的版本
if v1_prerelease is not None and v2_prerelease is not None:
len_pre = max(len(v1_prerelease), len(v2_prerelease))
for i in range(len_pre):
@@ -72,9 +72,9 @@ class VersionComparator:
return 1
if p1 < p2:
return -1
return 0 # Pre-release tags are identical
return 0 # 预发布标签完全相同
return 0 # Both numeric parts and pre-release tags are equal
return 0 # 数字部分和预发布标签都相同
@staticmethod
def _split_prerelease(prerelease):
+2 -16
View File
@@ -4,21 +4,7 @@ from astrbot.core.config import AstrBotConfig
from astrbot.core.config.default import DB_PATH
from astrbot.core.db.sqlite import SQLiteDatabase
from astrbot.core.file_token_service import FileTokenService
from astrbot.core.utils.pip_installer import (
DependencyConflictError as DependencyConflictError,
)
from astrbot.core.utils.pip_installer import (
PipInstaller,
)
from astrbot.core.utils.requirements_utils import (
RequirementsPrecheckFailed as RequirementsPrecheckFailed,
)
from astrbot.core.utils.requirements_utils import (
find_missing_requirements as find_missing_requirements,
)
from astrbot.core.utils.requirements_utils import (
find_missing_requirements_or_raise as find_missing_requirements_or_raise,
)
from astrbot.core.utils.pip_installer import PipInstaller
from astrbot.core.utils.shared_preferences import SharedPreferences
from astrbot.core.utils.t2i.renderer import HtmlRenderer
@@ -28,7 +14,7 @@ from .utils.astrbot_path import get_astrbot_data_path
# 初始化数据存储文件夹
os.makedirs(get_astrbot_data_path(), exist_ok=True)
DEMO_MODE = os.getenv("DEMO_MODE", "False").strip().lower() in ("true", "1", "t")
DEMO_MODE = os.getenv("DEMO_MODE", False)
astrbot_config = AstrBotConfig()
t2i_base_url = astrbot_config.get("t2i_endpoint", "https://t2i.soulter.top/text2img")
+1 -1
View File
@@ -62,4 +62,4 @@ class HandoffTool(FunctionTool, Generic[TContext]):
def default_description(self, agent_name: str | None) -> str:
agent_name = agent_name or "another"
return f"Delegate tasks to {agent_name} agent to handle the request."
return f"Delegate tasks to {self.name} agent to handle the request."
+6 -19
View File
@@ -144,14 +144,10 @@ class MCPClient:
cfg = _prepare_config(mcp_server_config.copy())
def logging_callback(
msg: str | mcp.types.LoggingMessageNotificationParams,
) -> None:
def logging_callback(msg: str) -> None:
# Handle MCP service error logs
if isinstance(msg, mcp.types.LoggingMessageNotificationParams):
if msg.level in ("warning", "error", "critical", "alert", "emergency"):
log_msg = f"[{msg.level.upper()}] {str(msg.data)}"
self.server_errlogs.append(log_msg)
print(f"MCP Server {name} Error: {msg}")
self.server_errlogs.append(msg)
if "url" in cfg:
success, error_msg = await _quick_test_mcp_connection(cfg)
@@ -218,24 +214,15 @@ class MCPClient:
**cfg,
)
def callback(msg: str | mcp.types.LoggingMessageNotificationParams) -> None:
def callback(msg: str) -> None:
# Handle MCP service error logs
if isinstance(msg, mcp.types.LoggingMessageNotificationParams):
if msg.level in (
"warning",
"error",
"critical",
"alert",
"emergency",
):
log_msg = f"[{msg.level.upper()}] {str(msg.data)}"
self.server_errlogs.append(log_msg)
self.server_errlogs.append(msg)
stdio_transport = await self.exit_stack.enter_async_context(
mcp.stdio_client(
server_params,
errlog=LogPipe(
level=logging.INFO,
level=logging.ERROR,
logger=logger,
identifier=f"MCPServer-{name}",
callback=callback,
@@ -302,7 +302,7 @@ class DashscopeAgentRunner(BaseAgentRunner[TContext]):
while True:
try:
item_type, item_data = await asyncio.get_running_loop().run_in_executor(
item_type, item_data = await asyncio.get_event_loop().run_in_executor(
None, response_queue.get, True, 1
)
except queue.Empty:
@@ -388,7 +388,7 @@ class DashscopeAgentRunner(BaseAgentRunner[TContext]):
# 发起请求
partial = functools.partial(Application.call, **payload)
response = await asyncio.get_running_loop().run_in_executor(None, partial)
response = await asyncio.get_event_loop().run_in_executor(None, partial)
async for resp in self._handle_streaming_response(response, session_id):
yield resp
+3 -5
View File
@@ -291,9 +291,6 @@ class FunctionToolExecutor(BaseFunctionToolExecutor[AstrAgentContext]):
except Exception:
continue
prov_settings: dict = ctx.get_config(umo=umo).get("provider_settings", {})
agent_max_step = int(prov_settings.get("max_agent_step", 30))
stream = prov_settings.get("streaming_response", False)
llm_resp = await ctx.tool_loop_agent(
event=event,
chat_provider_id=prov_id,
@@ -302,8 +299,9 @@ class FunctionToolExecutor(BaseFunctionToolExecutor[AstrAgentContext]):
system_prompt=tool.agent.instructions,
tools=toolset,
contexts=contexts,
max_steps=agent_max_step,
stream=stream,
max_steps=30,
run_hooks=tool.agent.run_hooks,
stream=ctx.get_config().get("provider_settings", {}).get("stream", False),
)
yield mcp.types.CallToolResult(
content=[mcp.types.TextContent(type="text", text=llm_resp.completion_text)]
+10 -80
View File
@@ -20,32 +20,18 @@ from astrbot.core.astr_agent_hooks import MAIN_AGENT_HOOKS
from astrbot.core.astr_agent_run_util import AgentRunner
from astrbot.core.astr_agent_tool_exec import FunctionToolExecutor
from astrbot.core.astr_main_agent_resources import (
ANNOTATE_EXECUTION_TOOL,
BROWSER_BATCH_EXEC_TOOL,
BROWSER_EXEC_TOOL,
CHATUI_SPECIAL_DEFAULT_PERSONA_PROMPT,
CREATE_SKILL_CANDIDATE_TOOL,
CREATE_SKILL_PAYLOAD_TOOL,
EVALUATE_SKILL_CANDIDATE_TOOL,
EXECUTE_SHELL_TOOL,
FILE_DOWNLOAD_TOOL,
FILE_UPLOAD_TOOL,
GET_EXECUTION_HISTORY_TOOL,
GET_SKILL_PAYLOAD_TOOL,
KNOWLEDGE_BASE_QUERY_TOOL,
LIST_SKILL_CANDIDATES_TOOL,
LIST_SKILL_RELEASES_TOOL,
LIVE_MODE_SYSTEM_PROMPT,
LLM_SAFETY_MODE_SYSTEM_PROMPT,
LOCAL_EXECUTE_SHELL_TOOL,
LOCAL_PYTHON_TOOL,
PROMOTE_SKILL_CANDIDATE_TOOL,
PYTHON_TOOL,
ROLLBACK_SKILL_RELEASE_TOOL,
RUN_BROWSER_SKILL_TOOL,
SANDBOX_MODE_PROMPT,
SEND_MESSAGE_TO_USER_TOOL,
SYNC_SKILL_RELEASE_TOOL,
TOOL_CALL_PROMPT,
TOOL_CALL_PROMPT_SKILLS_LIKE_MODE,
retrieve_knowledge_base,
@@ -390,9 +376,14 @@ async def _ensure_persona_and_skills(
persona_tools = None
pid = a.get("persona_id")
if pid:
persona = plugin_context.persona_manager.get_persona_v3_by_id(pid)
if persona is not None:
persona_tools = persona.get("tools")
persona_tools = next(
(
p.get("tools")
for p in plugin_context.persona_manager.personas_v3
if p["name"] == pid
),
None,
)
tools = a.get("tools", [])
if persona_tools is not None:
tools = persona_tools
@@ -773,14 +764,9 @@ def _plugin_tool_fix(event: AstrMessageEvent, req: ProviderRequest) -> None:
continue
mp = tool.handler_module_path
if not mp:
# 没有 plugin 归属信息的工具(如 subagent transfer_to_*
# 不应受到会话插件过滤影响。
new_tool_set.add_tool(tool)
continue
plugin = star_map.get(mp)
if not plugin:
# 无法解析插件归属时,保守保留工具,避免误过滤。
new_tool_set.add_tool(tool)
continue
if plugin.name in event.plugins_name or plugin.reserved:
new_tool_set.add_tool(tool)
@@ -846,10 +832,7 @@ def _apply_sandbox_tools(
) -> None:
if req.func_tool is None:
req.func_tool = ToolSet()
if req.system_prompt is None:
req.system_prompt = ""
booter = config.sandbox_cfg.get("booter", "shipyard_neo")
if booter == "shipyard":
if config.sandbox_cfg.get("booter") == "shipyard":
ep = config.sandbox_cfg.get("shipyard_endpoint", "")
at = config.sandbox_cfg.get("shipyard_access_token", "")
if not ep or not at:
@@ -857,64 +840,11 @@ def _apply_sandbox_tools(
return
os.environ["SHIPYARD_ENDPOINT"] = ep
os.environ["SHIPYARD_ACCESS_TOKEN"] = at
req.func_tool.add_tool(EXECUTE_SHELL_TOOL)
req.func_tool.add_tool(PYTHON_TOOL)
req.func_tool.add_tool(FILE_UPLOAD_TOOL)
req.func_tool.add_tool(FILE_DOWNLOAD_TOOL)
if booter == "shipyard_neo":
# Neo-specific path rule: filesystem tools operate relative to sandbox
# workspace root. Do not prepend "/workspace".
req.system_prompt += (
"\n[Shipyard Neo File Path Rule]\n"
"When using sandbox filesystem tools (upload/download/read/write/list/delete), "
"always pass paths relative to the sandbox workspace root. "
"Example: use `baidu_homepage.png` instead of `/workspace/baidu_homepage.png`.\n"
)
req.system_prompt += (
"\n[Neo Skill Lifecycle Workflow]\n"
"When user asks to create/update a reusable skill in Neo mode, use lifecycle tools instead of directly writing local skill folders.\n"
"Preferred sequence:\n"
"1) Use `astrbot_create_skill_payload` to store canonical payload content and get `payload_ref`.\n"
"2) Use `astrbot_create_skill_candidate` with `skill_key` + `source_execution_ids` (and optional `payload_ref`) to create a candidate.\n"
"3) Use `astrbot_promote_skill_candidate` to release: `stage=canary` for trial; `stage=stable` for production.\n"
"For stable release, set `sync_to_local=true` to sync `payload.skill_markdown` into local `SKILL.md`.\n"
"Do not treat ad-hoc generated files as reusable Neo skills unless they are captured via payload/candidate/release.\n"
"To update an existing skill, create a new payload/candidate and promote a new release version; avoid patching old local folders directly.\n"
)
# Determine sandbox capabilities from an already-booted session.
# If no session exists yet (first request), capabilities is None
# and we register all tools conservatively.
from astrbot.core.computer.computer_client import session_booter
sandbox_capabilities: list[str] | None = None
existing_booter = session_booter.get(session_id)
if existing_booter is not None:
sandbox_capabilities = getattr(existing_booter, "capabilities", None)
# Browser tools: only register if profile supports browser
# (or if capabilities are unknown because sandbox hasn't booted yet)
if sandbox_capabilities is None or "browser" in sandbox_capabilities:
req.func_tool.add_tool(BROWSER_EXEC_TOOL)
req.func_tool.add_tool(BROWSER_BATCH_EXEC_TOOL)
req.func_tool.add_tool(RUN_BROWSER_SKILL_TOOL)
# Neo-specific tools (always available for shipyard_neo)
req.func_tool.add_tool(GET_EXECUTION_HISTORY_TOOL)
req.func_tool.add_tool(ANNOTATE_EXECUTION_TOOL)
req.func_tool.add_tool(CREATE_SKILL_PAYLOAD_TOOL)
req.func_tool.add_tool(GET_SKILL_PAYLOAD_TOOL)
req.func_tool.add_tool(CREATE_SKILL_CANDIDATE_TOOL)
req.func_tool.add_tool(LIST_SKILL_CANDIDATES_TOOL)
req.func_tool.add_tool(EVALUATE_SKILL_CANDIDATE_TOOL)
req.func_tool.add_tool(PROMOTE_SKILL_CANDIDATE_TOOL)
req.func_tool.add_tool(LIST_SKILL_RELEASES_TOOL)
req.func_tool.add_tool(ROLLBACK_SKILL_RELEASE_TOOL)
req.func_tool.add_tool(SYNC_SKILL_RELEASE_TOOL)
req.system_prompt = f"{req.system_prompt or ''}\n{SANDBOX_MODE_PROMPT}\n"
req.system_prompt = f"{req.system_prompt}\n{SANDBOX_MODE_PROMPT}\n"
def _proactive_cron_job_tools(req: ProviderRequest) -> None:
+2 -48
View File
@@ -13,25 +13,11 @@ from astrbot.core.agent.tool import FunctionTool, ToolExecResult
from astrbot.core.astr_agent_context import AstrAgentContext
from astrbot.core.computer.computer_client import get_booter
from astrbot.core.computer.tools import (
AnnotateExecutionTool,
BrowserBatchExecTool,
BrowserExecTool,
CreateSkillCandidateTool,
CreateSkillPayloadTool,
EvaluateSkillCandidateTool,
ExecuteShellTool,
FileDownloadTool,
FileUploadTool,
GetExecutionHistoryTool,
GetSkillPayloadTool,
ListSkillCandidatesTool,
ListSkillReleasesTool,
LocalPythonTool,
PromoteSkillCandidateTool,
PythonTool,
RollbackSkillReleaseTool,
RunBrowserSkillTool,
SyncSkillReleaseTool,
)
from astrbot.core.message.message_event_result import MessageChain
from astrbot.core.platform.message_session import MessageSession
@@ -188,12 +174,7 @@ class KnowledgeBaseQueryTool(FunctionTool[AstrAgentContext]):
@dataclass
class SendMessageToUserTool(FunctionTool[AstrAgentContext]):
name: str = "send_message_to_user"
description: str = (
"Send message to the user. "
"Supports various message types including `plain`, `image`, `record`, `video`, `file`, and `mention_user`. "
"Use this tool to send media files (`image`, `record`, `video`, `file`), "
"or when you need to proactively message the user(such as cron job). For normal text replies, you can output directly."
)
description: str = "Directly send message to the user. Only use this tool when you need to proactively message the user. Otherwise you can directly output the reply in the conversation."
parameters: dict = Field(
default_factory=lambda: {
@@ -209,7 +190,7 @@ class SendMessageToUserTool(FunctionTool[AstrAgentContext]):
"type": "string",
"description": (
"Component type. One of: "
"plain, image, record, video, file, mention_user. Record is voice message."
"plain, image, record, file, mention_user"
),
},
"text": {
@@ -325,19 +306,6 @@ class SendMessageToUserTool(FunctionTool[AstrAgentContext]):
components.append(Comp.Record.fromURL(url=url))
else:
return f"error: messages[{idx}] must include path or url for record component."
elif msg_type == "video":
path = msg.get("path")
url = msg.get("url")
if path:
(
local_path,
file_from_sandbox,
) = await self._resolve_path_from_sandbox(context, path)
components.append(Comp.Video.fromFileSystem(path=local_path))
elif url:
components.append(Comp.Video.fromURL(url=url))
else:
return f"error: messages[{idx}] must include path or url for video component."
elif msg_type == "file":
path = msg.get("path")
url = msg.get("url")
@@ -481,20 +449,6 @@ PYTHON_TOOL = PythonTool()
LOCAL_PYTHON_TOOL = LocalPythonTool()
FILE_UPLOAD_TOOL = FileUploadTool()
FILE_DOWNLOAD_TOOL = FileDownloadTool()
BROWSER_EXEC_TOOL = BrowserExecTool()
BROWSER_BATCH_EXEC_TOOL = BrowserBatchExecTool()
RUN_BROWSER_SKILL_TOOL = RunBrowserSkillTool()
GET_EXECUTION_HISTORY_TOOL = GetExecutionHistoryTool()
ANNOTATE_EXECUTION_TOOL = AnnotateExecutionTool()
CREATE_SKILL_PAYLOAD_TOOL = CreateSkillPayloadTool()
GET_SKILL_PAYLOAD_TOOL = GetSkillPayloadTool()
CREATE_SKILL_CANDIDATE_TOOL = CreateSkillCandidateTool()
LIST_SKILL_CANDIDATES_TOOL = ListSkillCandidatesTool()
EVALUATE_SKILL_CANDIDATE_TOOL = EvaluateSkillCandidateTool()
PROMOTE_SKILL_CANDIDATE_TOOL = PromoteSkillCandidateTool()
LIST_SKILL_RELEASES_TOOL = ListSkillReleasesTool()
ROLLBACK_SKILL_RELEASE_TOOL = RollbackSkillReleaseTool()
SYNC_SKILL_RELEASE_TOOL = SyncSkillReleaseTool()
# we prevent astrbot from connecting to known malicious hosts
# these hosts are base64 encoded
+1 -19
View File
@@ -1,9 +1,4 @@
from ..olayer import (
BrowserComponent,
FileSystemComponent,
PythonComponent,
ShellComponent,
)
from ..olayer import FileSystemComponent, PythonComponent, ShellComponent
class ComputerBooter:
@@ -16,19 +11,6 @@ class ComputerBooter:
@property
def shell(self) -> ShellComponent: ...
@property
def capabilities(self) -> tuple[str, ...] | None:
"""Sandbox capabilities (e.g. ('python', 'shell', 'filesystem', 'browser')).
Returns None if the booter doesn't support capability introspection
(backward-compatible default). Subclasses override after boot.
"""
return None
@property
def browser(self) -> BrowserComponent | None:
return None
async def boot(self, session_id: str) -> None: ...
async def shutdown(self) -> None: ...
@@ -1,259 +0,0 @@
"""Manage Bay container lifecycle for zero-config Shipyard Neo integration.
When no Bay endpoint is configured, AstrBot can automatically start a Bay
container using the Docker socket (like BoxliteBooter does for Ship
containers).
"""
from __future__ import annotations
import asyncio
import io
import json
import tarfile
from typing import Any
import aiodocker
import aiohttp
from astrbot.api import logger
# ---------------------------------------------------------------------------
# Constants
# ---------------------------------------------------------------------------
BAY_IMAGE = "ghcr.io/astrbotdevs/shipyard-neo-bay:latest"
BAY_CONTAINER_NAME = "astrbot-bay"
BAY_LABEL = "astrbot.bay.managed"
BAY_PORT = 8114
HEALTH_TIMEOUT_S = 60
HEALTH_POLL_INTERVAL_S = 2
class BayContainerManager:
"""Start / reuse / stop a Bay container via Docker Engine API."""
def __init__(
self,
image: str = BAY_IMAGE,
host_port: int = BAY_PORT,
) -> None:
self._image = image
self._host_port = host_port
self._docker: aiodocker.Docker | None = None
self._container: Any = None
# ------------------------------------------------------------------
# Public API
# ------------------------------------------------------------------
async def ensure_running(self) -> str:
"""Make sure a Bay container is running. Returns the endpoint URL.
If a container labelled ``astrbot.bay.managed`` already exists
and is running, it will be reused. Otherwise a new container is
created from *self._image*.
"""
try:
self._docker = aiodocker.Docker()
except Exception as exc:
raise RuntimeError(
"Failed to connect to Docker daemon. "
"Ensure Docker is installed and running, or configure "
"an explicit Bay endpoint instead of auto-start mode."
) from exc
# 1. Look for an existing managed container
existing = await self._find_managed_container()
if existing is not None:
state = existing["State"]
if state.get("Running"):
cid = existing["Id"][:12]
logger.info("[BayManager] Reusing existing Bay container: %s", cid)
self._container = await self._docker.containers.get(existing["Id"])
return f"http://127.0.0.1:{self._host_port}"
else:
# Container exists but stopped — restart it
logger.info("[BayManager] Restarting stopped Bay container")
container = await self._docker.containers.get(existing["Id"])
await container.start()
self._container = container
return f"http://127.0.0.1:{self._host_port}"
# 2. Pull image if needed
await self._pull_image_if_needed()
# 3. Create and start container
logger.info(
"[BayManager] Starting Bay container: image=%s, port=%d",
self._image,
self._host_port,
)
config = {
"Image": self._image,
"Labels": {BAY_LABEL: "true"},
"Env": [
"BAY_SERVER__HOST=0.0.0.0",
f"BAY_SERVER__PORT={BAY_PORT}",
"BAY_DATA_DIR=/app/data",
# allow_anonymous=false → auto-provisions API key
"BAY_SECURITY__ALLOW_ANONYMOUS=false",
],
"HostConfig": {
"PortBindings": {
f"{BAY_PORT}/tcp": [{"HostPort": str(self._host_port)}],
},
"Binds": [
# Bay needs Docker socket to create sandbox containers
"/var/run/docker.sock:/var/run/docker.sock",
],
"RestartPolicy": {"Name": "unless-stopped"},
},
}
self._container = await self._docker.containers.create_or_replace(
BAY_CONTAINER_NAME, config
)
await self._container.start()
logger.info("[BayManager] Bay container started: %s", BAY_CONTAINER_NAME)
return f"http://127.0.0.1:{self._host_port}"
async def wait_healthy(self, timeout: int = HEALTH_TIMEOUT_S) -> None:
"""Block until Bay's ``/health`` endpoint returns 200."""
url = f"http://127.0.0.1:{self._host_port}/health"
loop = asyncio.get_running_loop()
deadline = loop.time() + timeout
last_error: str = ""
async with aiohttp.ClientSession() as session:
while loop.time() < deadline:
try:
async with session.get(
url, timeout=aiohttp.ClientTimeout(total=3)
) as resp:
if resp.status == 200:
logger.info("[BayManager] Bay is healthy")
return
last_error = f"HTTP {resp.status}"
except Exception as exc:
last_error = str(exc)
await asyncio.sleep(HEALTH_POLL_INTERVAL_S)
raise TimeoutError(
f"Bay did not become healthy within {timeout}s (last error: {last_error})"
)
async def read_credentials(self) -> str:
"""Read auto-provisioned API key from Bay container.
Bay writes ``credentials.json`` to its data directory when
``allow_anonymous=false`` and no explicit API key is set.
"""
if self._container is None:
return ""
try:
# Read credentials.json from container filesystem
tar_stream = await self._container.get_archive("/app/data/credentials.json")
# get_archive returns (tar_data, stat)
tar_data = tar_stream
if isinstance(tar_data, dict):
raw = tar_data.get("data", b"")
elif isinstance(tar_data, tuple):
# (stream, stat_info)
raw = b""
stream = tar_data[0]
if hasattr(stream, "read"):
raw = await stream.read()
elif isinstance(stream, bytes):
raw = stream
else:
# It might be a chunked response
chunks = []
async for chunk in stream:
chunks.append(chunk)
raw = b"".join(chunks)
else:
raw = tar_data if isinstance(tar_data, bytes) else b""
if not raw:
logger.debug("[BayManager] Empty tar response from container")
return ""
tario = io.BytesIO(raw)
with tarfile.open(fileobj=tario) as tar:
for member in tar.getmembers():
f = tar.extractfile(member)
if f:
creds = json.loads(f.read().decode("utf-8"))
api_key = creds.get("api_key", "")
if api_key:
masked = (
f"{api_key[:8]}..."
if len(api_key) >= 10
else "redacted"
)
logger.info(
"[BayManager] Auto-discovered Bay API key: %s",
masked,
)
return api_key
except Exception as exc:
logger.debug(
"[BayManager] Failed to read credentials from container: %s", exc
)
return ""
async def close_client(self) -> None:
"""Close the Docker client without stopping the container.
The Bay container stays running for reuse by future sessions.
"""
if self._docker is not None:
await self._docker.close()
self._docker = None
async def stop(self) -> None:
"""Stop and remove the managed Bay container."""
if self._container is not None:
try:
await self._container.stop()
await self._container.delete(force=True)
logger.info("[BayManager] Bay container stopped and removed")
except Exception as exc:
logger.debug("[BayManager] Error stopping Bay container: %s", exc)
finally:
self._container = None
await self.close_client()
# ------------------------------------------------------------------
# Private helpers
# ------------------------------------------------------------------
async def _find_managed_container(self) -> dict | None:
"""Find an existing container with our management label."""
assert self._docker is not None
containers = await self._docker.containers.list(
all=True,
filters=json.dumps({"label": [f"{BAY_LABEL}=true"]}),
)
if containers:
# Inspect first match to get full state
return await containers[0].show()
return None
async def _pull_image_if_needed(self) -> None:
"""Pull the Bay image if it doesn't exist locally."""
assert self._docker is not None
try:
await self._docker.images.inspect(self._image)
logger.debug("[BayManager] Image %s already exists", self._image)
except aiodocker.exceptions.DockerError:
logger.info("[BayManager] Pulling image %s ...", self._image)
# Pull with progress logging
await self._docker.images.pull(self._image)
logger.info("[BayManager] Image %s pulled successfully", self._image)
-4
View File
@@ -64,10 +64,6 @@ class MockShipyardSandboxClient:
async with aiohttp.ClientSession(timeout=timeout) as session:
async with session.post(url, data=data) as response:
if response.status == 200:
logger.info(
"[Computer] File uploaded to Boxlite sandbox: %s",
remote_path,
)
return {
"success": True,
"message": "File uploaded successfully",
+8 -38
View File
@@ -1,7 +1,6 @@
from __future__ import annotations
import asyncio
import locale
import os
import shutil
import subprocess
@@ -53,31 +52,6 @@ def _ensure_safe_path(path: str) -> str:
return abs_path
def _decode_shell_output(output: bytes | None) -> str:
if output is None:
return ""
preferred = locale.getpreferredencoding(False) or "utf-8"
try:
return output.decode("utf-8")
except (LookupError, UnicodeDecodeError):
pass
if os.name == "nt":
for encoding in ("mbcs", "cp936", "gbk", "gb18030"):
try:
return output.decode(encoding)
except (LookupError, UnicodeDecodeError):
continue
try:
return output.decode(preferred)
except (LookupError, UnicodeDecodeError):
pass
return output.decode("utf-8", errors="replace")
@dataclass
class LocalShellComponent(ShellComponent):
async def exec(
@@ -98,32 +72,28 @@ class LocalShellComponent(ShellComponent):
run_env.update({str(k): str(v) for k, v in env.items()})
working_dir = _ensure_safe_path(cwd) if cwd else get_astrbot_root()
if background:
# `command` is intentionally executed through the current shell so
# local computer-use behavior matches existing tool semantics.
# Safety relies on `_is_safe_command()` and the allowed-root checks.
proc = subprocess.Popen( # noqa: S602 # nosemgrep: python.lang.security.audit.dangerous-subprocess-use-audit
proc = subprocess.Popen(
command,
shell=shell,
cwd=working_dir,
env=run_env,
stdout=subprocess.DEVNULL,
stderr=subprocess.DEVNULL,
stdout=subprocess.PIPE,
stderr=subprocess.PIPE,
text=True,
)
return {"pid": proc.pid, "stdout": "", "stderr": "", "exit_code": None}
# `command` is intentionally executed through the current shell so
# local computer-use behavior matches existing tool semantics.
# Safety relies on `_is_safe_command()` and the allowed-root checks.
result = subprocess.run( # noqa: S602 # nosemgrep: python.lang.security.audit.dangerous-subprocess-use-audit
result = subprocess.run(
command,
shell=shell,
cwd=working_dir,
env=run_env,
timeout=timeout,
capture_output=True,
text=True,
)
return {
"stdout": _decode_shell_output(result.stdout),
"stderr": _decode_shell_output(result.stderr),
"stdout": result.stdout,
"stderr": result.stderr,
"exit_code": result.returncode,
}
+3 -20
View File
@@ -31,7 +31,7 @@ class ShipyardBooter(ComputerBooter):
self._ship = ship
async def shutdown(self) -> None:
logger.info("[Computer] Shipyard booter shutdown.")
pass
@property
def fs(self) -> FileSystemComponent:
@@ -47,19 +47,11 @@ class ShipyardBooter(ComputerBooter):
async def upload_file(self, path: str, file_name: str) -> dict:
"""Upload file to sandbox"""
result = await self._ship.upload_file(path, file_name)
logger.info("[Computer] File uploaded to Shipyard sandbox: %s", file_name)
return result
return await self._ship.upload_file(path, file_name)
async def download_file(self, remote_path: str, local_path: str):
"""Download file from sandbox."""
result = await self._ship.download_file(remote_path, local_path)
logger.info(
"[Computer] File downloaded from Shipyard sandbox: %s -> %s",
remote_path,
local_path,
)
return result
return await self._ship.download_file(remote_path, local_path)
async def available(self) -> bool:
"""Check if the sandbox is available."""
@@ -67,17 +59,8 @@ class ShipyardBooter(ComputerBooter):
ship_id = self._ship.id
data = await self._sandbox_client.get_ship(ship_id)
if not data:
logger.info(
"[Computer] Shipyard sandbox health check: id=%s, healthy=False (no data)",
ship_id,
)
return False
health = bool(data.get("status", 0) == 1)
logger.info(
"[Computer] Shipyard sandbox health check: id=%s, healthy=%s",
ship_id,
health,
)
return health
except Exception as e:
logger.error(f"Error checking Shipyard sandbox availability: {e}")
@@ -1,513 +0,0 @@
from __future__ import annotations
import os
import shlex
from typing import Any, cast
from astrbot.api import logger
from ..olayer import (
BrowserComponent,
FileSystemComponent,
PythonComponent,
ShellComponent,
)
from .base import ComputerBooter
def _maybe_model_dump(value: Any) -> dict[str, Any]:
if isinstance(value, dict):
return value
if hasattr(value, "model_dump"):
dumped = value.model_dump()
if isinstance(dumped, dict):
return dumped
return {}
class NeoPythonComponent(PythonComponent):
def __init__(self, sandbox: Any) -> None:
self._sandbox = sandbox
async def exec(
self,
code: str,
kernel_id: str | None = None,
timeout: int = 30,
silent: bool = False,
) -> dict[str, Any]:
_ = kernel_id # Bay runtime does not expose kernel_id in current SDK.
result = await self._sandbox.python.exec(code, timeout=timeout)
payload = _maybe_model_dump(result)
output_text = payload.get("output", "") or ""
error_text = payload.get("error", "") or ""
data = payload.get("data") if isinstance(payload.get("data"), dict) else {}
rich_output = data.get("output") if isinstance(data.get("output"), dict) else {}
if not isinstance(rich_output.get("images"), list):
rich_output["images"] = []
if "text" not in rich_output:
rich_output["text"] = output_text
if silent:
rich_output["text"] = ""
return {
"success": bool(payload.get("success", error_text == "")),
"data": {
"output": rich_output,
"error": error_text,
},
"execution_id": payload.get("execution_id"),
"execution_time_ms": payload.get("execution_time_ms"),
"code": payload.get("code"),
"output": output_text,
"error": error_text,
}
class NeoShellComponent(ShellComponent):
def __init__(self, sandbox: Any) -> None:
self._sandbox = sandbox
async def exec(
self,
command: str,
cwd: str | None = None,
env: dict[str, str] | None = None,
timeout: int | None = 30,
shell: bool = True,
background: bool = False,
) -> dict[str, Any]:
if not shell:
return {
"stdout": "",
"stderr": "error: only shell mode is supported in shipyard_neo booter.",
"exit_code": 2,
"success": False,
}
run_command = command
if env:
env_prefix = " ".join(
f"{k}={shlex.quote(str(v))}" for k, v in sorted(env.items())
)
run_command = f"{env_prefix} {run_command}"
if background:
run_command = f"nohup sh -lc {shlex.quote(run_command)} >/tmp/astrbot_bg.log 2>&1 & echo $!"
result = await self._sandbox.shell.exec(
run_command,
timeout=timeout or 30,
cwd=cwd,
)
payload = _maybe_model_dump(result)
stdout = payload.get("output", "") or ""
stderr = payload.get("error", "") or ""
exit_code = payload.get("exit_code")
if background:
pid: int | None = None
try:
pid = int(stdout.strip().splitlines()[-1])
except Exception:
pid = None
return {
"pid": pid,
"stdout": stdout,
"stderr": stderr,
"exit_code": exit_code,
"success": bool(payload.get("success", not stderr)),
"execution_id": payload.get("execution_id"),
"execution_time_ms": payload.get("execution_time_ms"),
"command": payload.get("command"),
}
return {
"stdout": stdout,
"stderr": stderr,
"exit_code": exit_code,
"success": bool(payload.get("success", not stderr)),
"execution_id": payload.get("execution_id"),
"execution_time_ms": payload.get("execution_time_ms"),
"command": payload.get("command"),
}
class NeoFileSystemComponent(FileSystemComponent):
def __init__(self, sandbox: Any) -> None:
self._sandbox = sandbox
async def create_file(
self,
path: str,
content: str = "",
mode: int = 0o644,
) -> dict[str, Any]:
_ = mode
await self._sandbox.filesystem.write_file(path, content)
return {"success": True, "path": path}
async def read_file(self, path: str, encoding: str = "utf-8") -> dict[str, Any]:
_ = encoding
content = await self._sandbox.filesystem.read_file(path)
return {"success": True, "path": path, "content": content}
async def write_file(
self,
path: str,
content: str,
mode: str = "w",
encoding: str = "utf-8",
) -> dict[str, Any]:
_ = mode
_ = encoding
await self._sandbox.filesystem.write_file(path, content)
return {"success": True, "path": path}
async def delete_file(self, path: str) -> dict[str, Any]:
await self._sandbox.filesystem.delete(path)
return {"success": True, "path": path}
async def list_dir(
self,
path: str = ".",
show_hidden: bool = False,
) -> dict[str, Any]:
entries = await self._sandbox.filesystem.list_dir(path)
data = []
for entry in entries:
item = _maybe_model_dump(entry)
if not show_hidden and str(item.get("name", "")).startswith("."):
continue
data.append(item)
return {"success": True, "path": path, "entries": data}
class NeoBrowserComponent(BrowserComponent):
def __init__(self, sandbox: Any) -> None:
self._sandbox = sandbox
async def exec(
self,
cmd: str,
timeout: int = 30,
description: str | None = None,
tags: str | None = None,
learn: bool = False,
include_trace: bool = False,
) -> dict[str, Any]:
result = await self._sandbox.browser.exec(
cmd,
timeout=timeout,
description=description,
tags=tags,
learn=learn,
include_trace=include_trace,
)
return _maybe_model_dump(result)
async def exec_batch(
self,
commands: list[str],
timeout: int = 60,
stop_on_error: bool = True,
description: str | None = None,
tags: str | None = None,
learn: bool = False,
include_trace: bool = False,
) -> dict[str, Any]:
result = await self._sandbox.browser.exec_batch(
commands,
timeout=timeout,
stop_on_error=stop_on_error,
description=description,
tags=tags,
learn=learn,
include_trace=include_trace,
)
return _maybe_model_dump(result)
async def run_skill(
self,
skill_key: str,
timeout: int = 60,
stop_on_error: bool = True,
include_trace: bool = False,
description: str | None = None,
tags: str | None = None,
) -> dict[str, Any]:
result = await self._sandbox.browser.run_skill(
skill_key=skill_key,
timeout=timeout,
stop_on_error=stop_on_error,
include_trace=include_trace,
description=description,
tags=tags,
)
return _maybe_model_dump(result)
class ShipyardNeoBooter(ComputerBooter):
"""Booter backed by Shipyard Neo (Bay).
If *endpoint_url* is empty or set to ``"__auto__"``, Bay will be
started automatically as a Docker container (like Boxlite does for
Ship containers).
"""
AUTO_SENTINEL = "__auto__"
DEFAULT_PROFILE = "python-default"
def __init__(
self,
endpoint_url: str,
access_token: str,
profile: str = DEFAULT_PROFILE,
ttl: int = 3600,
) -> None:
self._endpoint_url = endpoint_url
self._access_token = access_token
self._profile = profile
self._ttl = ttl
self._client: Any = None
self._sandbox: Any = None
self._bay_manager: Any = None # BayContainerManager when auto-started
self._fs: FileSystemComponent | None = None
self._python: PythonComponent | None = None
self._shell: ShellComponent | None = None
self._browser: BrowserComponent | None = None
@property
def bay_client(self) -> Any:
return self._client
@property
def sandbox(self) -> Any:
return self._sandbox
@property
def capabilities(self) -> tuple[str, ...] | None:
"""Sandbox capabilities from the Bay profile.
Returns an immutable tuple after :meth:`boot`; ``None`` before boot.
"""
if self._sandbox is None:
return None
caps = getattr(self._sandbox, "capabilities", None)
return tuple(caps) if caps is not None else None
@property
def is_auto_mode(self) -> bool:
"""True when Bay should be auto-started."""
ep = (self._endpoint_url or "").strip()
return not ep or ep == self.AUTO_SENTINEL
async def boot(self, session_id: str) -> None:
_ = session_id
# --- Auto-start Bay if needed ---
if self.is_auto_mode:
from .bay_manager import BayContainerManager
# Clean up previous manager if re-booting
if self._bay_manager is not None:
await self._bay_manager.close_client()
logger.info("[Computer] Neo auto-start mode: launching Bay container")
self._bay_manager = BayContainerManager()
self._endpoint_url = await self._bay_manager.ensure_running()
await self._bay_manager.wait_healthy()
# Read auto-provisioned credentials
if not self._access_token:
self._access_token = await self._bay_manager.read_credentials()
logger.info("[Computer] Bay auto-started at %s", self._endpoint_url)
if not self._endpoint_url or not self._access_token:
if self._bay_manager is not None:
raise ValueError(
"Bay container started but credentials could not be read. "
"Ensure Bay generated credentials.json, or set access_token manually."
)
raise ValueError(
"Shipyard Neo sandbox configuration is incomplete. "
"Set endpoint (default http://127.0.0.1:8114) and access token, "
"or ensure Bay's credentials.json is accessible for auto-discovery."
)
from shipyard_neo import BayClient
self._client = BayClient(
endpoint_url=self._endpoint_url,
access_token=self._access_token,
)
await self._client.__aenter__()
# Resolve profile: user-specified > smart selection > default
resolved_profile = await self._resolve_profile(self._client)
self._sandbox = await self._client.create_sandbox(
profile=resolved_profile,
ttl=self._ttl,
)
self._fs = NeoFileSystemComponent(self._sandbox)
self._python = NeoPythonComponent(self._sandbox)
self._shell = NeoShellComponent(self._sandbox)
caps = self.capabilities or ()
self._browser = (
NeoBrowserComponent(self._sandbox) if "browser" in caps else None
)
logger.info(
"Got Shipyard Neo sandbox: %s (profile=%s, capabilities=%s, auto=%s)",
self._sandbox.id,
resolved_profile,
list(caps),
bool(self._bay_manager),
)
async def _resolve_profile(self, client: Any) -> str:
"""Pick the best profile for this session.
Resolution order:
1. User-specified profile (non-empty, non-default) use as-is.
2. Query ``GET /v1/profiles`` and pick the profile with the most
capabilities, preferring profiles that include ``"browser"``.
3. Fall back to :attr:`DEFAULT_PROFILE`.
Auth errors (401/403) are re-raised immediately they indicate a
misconfigured token, and silently falling back would just delay the
real failure to ``create_sandbox``.
"""
# User explicitly set a profile → honour it
if self._profile and self._profile != self.DEFAULT_PROFILE:
logger.info("[Computer] Using user-specified profile: %s", self._profile)
return self._profile
# Query Bay for available profiles
from shipyard_neo.errors import ForbiddenError, UnauthorizedError
try:
profile_list = await client.list_profiles()
profiles = profile_list.items
except (UnauthorizedError, ForbiddenError):
raise # auth errors must not be silenced
except Exception as exc:
logger.warning(
"[Computer] Failed to query Bay profiles, falling back to %s: %s",
self.DEFAULT_PROFILE,
exc,
)
return self.DEFAULT_PROFILE
if not profiles:
return self.DEFAULT_PROFILE
def _score(p: Any) -> tuple[int, int]:
"""(has_browser, capability_count) — higher is better."""
caps = getattr(p, "capabilities", []) or []
return (1 if "browser" in caps else 0, len(caps))
best = max(profiles, key=_score)
chosen = getattr(best, "id", self.DEFAULT_PROFILE)
if chosen != self.DEFAULT_PROFILE:
caps = getattr(best, "capabilities", [])
logger.info(
"[Computer] Auto-selected profile %s (capabilities=%s)",
chosen,
caps,
)
return chosen
async def shutdown(self) -> None:
if self._client is not None:
sandbox_id = getattr(self._sandbox, "id", "unknown")
logger.info(
"[Computer] Shutting down Shipyard Neo sandbox: id=%s", sandbox_id
)
await self._client.__aexit__(None, None, None)
self._client = None
self._sandbox = None
logger.info("[Computer] Shipyard Neo sandbox shut down: id=%s", sandbox_id)
# NOTE: We intentionally do NOT stop the Bay container here.
# It stays running for reuse by future sessions. The user can
# stop it manually or via ``BayContainerManager.stop()``.
if self._bay_manager is not None:
await self._bay_manager.close_client()
@property
def fs(self) -> FileSystemComponent:
if self._fs is None:
raise RuntimeError("ShipyardNeoBooter is not initialized.")
return self._fs
@property
def python(self) -> PythonComponent:
if self._python is None:
raise RuntimeError("ShipyardNeoBooter is not initialized.")
return self._python
@property
def shell(self) -> ShellComponent:
if self._shell is None:
raise RuntimeError("ShipyardNeoBooter is not initialized.")
return self._shell
@property
def browser(self) -> BrowserComponent:
if self._browser is None:
raise RuntimeError("ShipyardNeoBooter is not initialized.")
return self._browser
async def upload_file(self, path: str, file_name: str) -> dict:
if self._sandbox is None:
raise RuntimeError("ShipyardNeoBooter is not initialized.")
with open(path, "rb") as f:
content = f.read()
remote_path = file_name.lstrip("/")
await self._sandbox.filesystem.upload(remote_path, content)
logger.info("[Computer] File uploaded to Neo sandbox: %s", remote_path)
return {
"success": True,
"message": "File uploaded successfully",
"file_path": remote_path,
}
async def download_file(self, remote_path: str, local_path: str) -> None:
if self._sandbox is None:
raise RuntimeError("ShipyardNeoBooter is not initialized.")
content = await self._sandbox.filesystem.download(remote_path.lstrip("/"))
local_dir = os.path.dirname(local_path)
if local_dir:
os.makedirs(local_dir, exist_ok=True)
with open(local_path, "wb") as f:
f.write(cast(bytes, content))
logger.info(
"[Computer] File downloaded from Neo sandbox: %s -> %s",
remote_path,
local_path,
)
async def available(self) -> bool:
if self._sandbox is None:
return False
try:
await self._sandbox.refresh()
status = getattr(self._sandbox.status, "value", str(self._sandbox.status))
healthy = status not in {"failed", "expired"}
logger.info(
"[Computer] Neo sandbox health check: id=%s, status=%s, healthy=%s",
getattr(self._sandbox, "id", "unknown"),
status,
healthy,
)
return healthy
except Exception as e:
logger.error(f"Error checking Shipyard Neo sandbox availability: {e}")
return False
+31 -450
View File
@@ -1,11 +1,10 @@
import json
import os
import shutil
import uuid
from pathlib import Path
from astrbot.api import logger
from astrbot.core.skills.skill_manager import SANDBOX_SKILLS_ROOT, SkillManager
from astrbot.core.skills.skill_manager import SANDBOX_SKILLS_ROOT
from astrbot.core.star.context import Context
from astrbot.core.utils.astrbot_path import (
get_astrbot_skills_path,
@@ -17,412 +16,45 @@ from .booters.local import LocalBooter
session_booter: dict[str, ComputerBooter] = {}
local_booter: ComputerBooter | None = None
_MANAGED_SKILLS_FILE = ".astrbot_managed_skills.json"
def _list_local_skill_dirs(skills_root: Path) -> list[Path]:
skills: list[Path] = []
for entry in sorted(skills_root.iterdir()):
if not entry.is_dir():
continue
skill_md = entry / "SKILL.md"
if skill_md.exists():
skills.append(entry)
return skills
def _discover_bay_credentials(endpoint: str) -> str:
"""Try to auto-discover Bay API key from credentials.json.
Search order:
1. BAY_DATA_DIR env var
2. Mono-repo relative path: ../pkgs/bay/ (dev layout)
3. Current working directory
Returns:
API key string, or empty string if not found.
"""
candidates: list[Path] = []
# 1. BAY_DATA_DIR env var
bay_data_dir = os.environ.get("BAY_DATA_DIR")
if bay_data_dir:
candidates.append(Path(bay_data_dir) / "credentials.json")
# 2. Mono-repo layout: AstrBot/../pkgs/bay/credentials.json
astrbot_root = Path(__file__).resolve().parents[3] # astrbot/core/computer/ → root
candidates.append(astrbot_root.parent / "pkgs" / "bay" / "credentials.json")
# 3. Current working directory
candidates.append(Path.cwd() / "credentials.json")
for cred_path in candidates:
if not cred_path.is_file():
continue
try:
data = json.loads(cred_path.read_text())
api_key = data.get("api_key", "")
if api_key:
# Optionally verify endpoint matches
cred_endpoint = data.get("endpoint", "")
if (
cred_endpoint
and endpoint
and cred_endpoint.rstrip("/") != endpoint.rstrip("/")
):
logger.warning(
"[Computer] credentials.json endpoint mismatch: "
"file=%s, configured=%s — using key anyway",
cred_endpoint,
endpoint,
)
masked_key = f"{api_key[:4]}..." if len(api_key) >= 6 else "redacted"
logger.info(
"[Computer] Auto-discovered Bay API key from %s (prefix=%s)",
cred_path,
masked_key,
)
return api_key
except (json.JSONDecodeError, OSError) as exc:
logger.debug("[Computer] Failed to read %s: %s", cred_path, exc)
logger.debug("[Computer] No Bay credentials.json found in search paths")
return ""
def _build_python_exec_command(script: str) -> str:
return (
"if command -v python3 >/dev/null 2>&1; then PYBIN=python3; "
"elif command -v python >/dev/null 2>&1; then PYBIN=python; "
"else echo 'python not found in sandbox' >&2; exit 127; fi; "
"$PYBIN - <<'PY'\n"
f"{script}\n"
"PY"
)
def _build_apply_sync_command() -> str:
"""Build shell command for sync stage only.
This stage mutates sandbox files (managed skill replacement) but does not scan
metadata. Keeping it separate allows callers to preserve old behavior while
reusing the apply step independently.
"""
script = f"""
import json
import shutil
import zipfile
from pathlib import Path
root = Path({SANDBOX_SKILLS_ROOT!r})
zip_path = root / "skills.zip"
tmp_extract = Path(f"{{root}}_tmp_extract")
managed_file = root / {_MANAGED_SKILLS_FILE!r}
def remove_tree(path: Path) -> None:
if not path.exists():
return
if path.is_dir():
shutil.rmtree(path, ignore_errors=True)
else:
path.unlink(missing_ok=True)
def load_managed_skills() -> list[str]:
if not managed_file.exists():
return []
try:
payload = json.loads(managed_file.read_text(encoding="utf-8"))
except Exception:
return []
if not isinstance(payload, dict):
return []
items = payload.get("managed_skills", [])
if not isinstance(items, list):
return []
result: list[str] = []
for item in items:
if isinstance(item, str) and item.strip():
result.append(item.strip())
return result
root.mkdir(parents=True, exist_ok=True)
for managed_name in load_managed_skills():
remove_tree(root / managed_name)
current_managed: list[str] = []
if zip_path.exists():
remove_tree(tmp_extract)
tmp_extract.mkdir(parents=True, exist_ok=True)
with zipfile.ZipFile(zip_path) as zf:
zf.extractall(tmp_extract)
for entry in sorted(tmp_extract.iterdir()):
if not entry.is_dir():
continue
target = root / entry.name
remove_tree(target)
shutil.copytree(entry, target)
current_managed.append(entry.name)
remove_tree(tmp_extract)
remove_tree(zip_path)
managed_file.write_text(
json.dumps({{"managed_skills": current_managed}}, ensure_ascii=False, indent=2),
encoding="utf-8",
)
print(json.dumps({{"managed_skills": current_managed}}, ensure_ascii=False))
""".strip()
return _build_python_exec_command(script)
def _build_scan_command() -> str:
"""Build shell command for scan stage only.
This stage is read-oriented: it scans SKILL.md metadata and returns the
historical payload shape consumed by cache update logic.
The scan resolves the absolute path of the skills root at runtime so
that the LLM can reliably ``cat`` skill files regardless of cwd.
Only the ``description`` field is extracted from frontmatter.
"""
script = f"""
import json
from pathlib import Path
root = Path({SANDBOX_SKILLS_ROOT!r})
managed_file = root / {_MANAGED_SKILLS_FILE!r}
# Resolve absolute path at runtime so prompts always have a reliable path
root_abs = str(root.resolve())
# NOTE: This parser mirrors skill_manager._parse_frontmatter_description.
# Keep the two implementations in sync when changing parsing logic.
def parse_description(text: str) -> str:
if not text.startswith("---"):
return ""
lines = text.splitlines()
if not lines or lines[0].strip() != "---":
return ""
end_idx = None
for i in range(1, len(lines)):
if lines[i].strip() == "---":
end_idx = i
break
if end_idx is None:
return ""
frontmatter = "\n".join(lines[1:end_idx])
try:
import yaml
except ImportError:
return ""
try:
payload = yaml.safe_load(frontmatter) or dict()
except yaml.YAMLError:
return ""
if not isinstance(payload, dict):
return ""
description = payload.get("description", "")
if not isinstance(description, str):
return ""
return description.strip()
def load_managed_skills() -> list[str]:
if not managed_file.exists():
return []
try:
payload = json.loads(managed_file.read_text(encoding="utf-8"))
except Exception:
return []
if not isinstance(payload, dict):
return []
items = payload.get("managed_skills", [])
if not isinstance(items, list):
return []
result: list[str] = []
for item in items:
if isinstance(item, str) and item.strip():
result.append(item.strip())
return result
def collect_skills() -> list[dict[str, str]]:
skills: list[dict[str, str]] = []
if not root.exists():
return skills
for skill_dir in sorted(root.iterdir()):
if not skill_dir.is_dir():
continue
skill_md = skill_dir / "SKILL.md"
if not skill_md.is_file():
continue
description = ""
try:
text = skill_md.read_text(encoding="utf-8")
description = parse_description(text)
except Exception:
description = ""
skills.append(
{{
"name": skill_dir.name,
"description": description,
"path": f"{{root_abs}}/{{skill_dir.name}}/SKILL.md",
}}
)
return skills
print(
json.dumps(
{{
"managed_skills": load_managed_skills(),
"skills": collect_skills(),
}},
ensure_ascii=False,
)
)
""".strip()
return _build_python_exec_command(script)
def _build_sync_and_scan_command() -> str:
"""Legacy combined command kept for backward compatibility.
New code paths should prefer apply + scan split helpers.
"""
return f"{_build_apply_sync_command()}\n{_build_scan_command()}"
def _shell_exec_succeeded(result: dict) -> bool:
if "success" in result:
return bool(result.get("success"))
exit_code = result.get("exit_code")
return exit_code in (0, None)
def _format_exec_error_detail(result: dict) -> str:
"""Format shell execution details for better observability.
Keep the message compact while still surfacing exit code and stderr/stdout.
"""
exit_code = result.get("exit_code")
stderr = str(result.get("stderr", "") or "").strip()
stdout = str(result.get("stdout", "") or "").strip()
stderr_text = stderr[:500]
stdout_text = stdout[:300]
return f"exit_code={exit_code}, stderr={stderr_text!r}, stdout_tail={stdout_text!r}"
def _decode_sync_payload(stdout: str) -> dict | None:
text = stdout.strip()
if not text:
return None
candidates = [text]
candidates.extend([line.strip() for line in text.splitlines() if line.strip()])
for candidate in reversed(candidates):
try:
payload = json.loads(candidate)
except Exception:
continue
if isinstance(payload, dict):
return payload
return None
def _update_sandbox_skills_cache(payload: dict | None) -> None:
if not isinstance(payload, dict):
return
skills = payload.get("skills", [])
if not isinstance(skills, list):
return
SkillManager().set_sandbox_skills_cache(skills)
async def _apply_skills_to_sandbox(booter: ComputerBooter) -> None:
"""Apply local skill bundle to sandbox filesystem only.
This function is intentionally limited to file mutation. Metadata scanning is
executed in a separate phase to keep failure domains clear.
"""
logger.info("[Computer] Skill sync phase=apply start")
apply_result = await booter.shell.exec(_build_apply_sync_command())
if not _shell_exec_succeeded(apply_result):
detail = _format_exec_error_detail(apply_result)
logger.error("[Computer] Skill sync phase=apply failed: %s", detail)
raise RuntimeError(f"Failed to apply sandbox skill sync strategy: {detail}")
logger.info("[Computer] Skill sync phase=apply done")
async def _scan_sandbox_skills(booter: ComputerBooter) -> dict | None:
"""Scan sandbox skills and return normalized payload for cache update."""
logger.info("[Computer] Skill sync phase=scan start")
scan_result = await booter.shell.exec(_build_scan_command())
if not _shell_exec_succeeded(scan_result):
detail = _format_exec_error_detail(scan_result)
logger.error("[Computer] Skill sync phase=scan failed: %s", detail)
raise RuntimeError(f"Failed to scan sandbox skills after sync: {detail}")
payload = _decode_sync_payload(str(scan_result.get("stdout", "") or ""))
if payload is None:
logger.warning("[Computer] Skill sync phase=scan returned empty payload")
else:
logger.info("[Computer] Skill sync phase=scan done")
return payload
async def _sync_skills_to_sandbox(booter: ComputerBooter) -> None:
"""Sync local skills to sandbox and refresh cache.
Backward-compatible orchestrator: keep historical behavior while internally
splitting into `apply` and `scan` phases.
"""
skills_root = Path(get_astrbot_skills_path())
if not skills_root.is_dir():
skills_root = get_astrbot_skills_path()
if not os.path.isdir(skills_root):
return
if not any(Path(skills_root).iterdir()):
return
local_skill_dirs = _list_local_skill_dirs(skills_root)
temp_dir = Path(get_astrbot_temp_path())
temp_dir.mkdir(parents=True, exist_ok=True)
zip_base = temp_dir / "skills_bundle"
zip_path = zip_base.with_suffix(".zip")
temp_dir = get_astrbot_temp_path()
os.makedirs(temp_dir, exist_ok=True)
zip_base = os.path.join(temp_dir, "skills_bundle")
zip_path = f"{zip_base}.zip"
try:
if local_skill_dirs:
if zip_path.exists():
zip_path.unlink()
shutil.make_archive(str(zip_base), "zip", str(skills_root))
remote_zip = Path(SANDBOX_SKILLS_ROOT) / "skills.zip"
logger.info("Uploading skills bundle to sandbox...")
await booter.shell.exec(f"mkdir -p {SANDBOX_SKILLS_ROOT}")
upload_result = await booter.upload_file(str(zip_path), str(remote_zip))
if not upload_result.get("success", False):
raise RuntimeError("Failed to upload skills bundle to sandbox.")
else:
logger.info(
"No local skills found. Keeping sandbox built-ins and refreshing metadata."
)
await booter.shell.exec(f"rm -f {SANDBOX_SKILLS_ROOT}/skills.zip")
# Keep backward-compatible behavior while splitting lifecycle into two
# observable phases: apply (filesystem mutation) + scan (metadata read).
await _apply_skills_to_sandbox(booter)
payload = await _scan_sandbox_skills(booter)
_update_sandbox_skills_cache(payload)
managed = payload.get("managed_skills", []) if isinstance(payload, dict) else []
logger.info(
"[Computer] Sandbox skill sync complete: managed=%d",
len(managed),
if os.path.exists(zip_path):
os.remove(zip_path)
shutil.make_archive(zip_base, "zip", skills_root)
remote_zip = Path(SANDBOX_SKILLS_ROOT) / "skills.zip"
logger.info("Uploading skills bundle to sandbox...")
await booter.shell.exec(f"mkdir -p {SANDBOX_SKILLS_ROOT}")
upload_result = await booter.upload_file(zip_path, str(remote_zip))
if not upload_result.get("success", False):
raise RuntimeError("Failed to upload skills bundle to sandbox.")
# Use -n flag to never overwrite existing files, fallback to Python if unzip unavailable
await booter.shell.exec(
f"unzip -n {remote_zip} -d {SANDBOX_SKILLS_ROOT} || "
f"python3 -c \"import zipfile, os, pathlib; z=zipfile.ZipFile('{remote_zip}'); "
f"[z.extract(m, '{SANDBOX_SKILLS_ROOT}') for m in z.namelist() "
f"if not os.path.exists(os.path.join('{SANDBOX_SKILLS_ROOT}', m))]\" || "
f"python -c \"import zipfile, os, pathlib; z=zipfile.ZipFile('{remote_zip}'); "
f"[z.extract(m, '{SANDBOX_SKILLS_ROOT}') for m in z.namelist() "
f"if not os.path.exists(os.path.join('{SANDBOX_SKILLS_ROOT}', m))]\"; "
f"rm -f {remote_zip}"
)
finally:
if zip_path.exists():
if os.path.exists(zip_path):
try:
zip_path.unlink()
os.remove(zip_path)
except Exception:
logger.warning(f"Failed to remove temp skills zip: {zip_path}")
@@ -433,14 +65,8 @@ async def get_booter(
) -> ComputerBooter:
config = context.get_config(umo=session_id)
runtime = config.get("provider_settings", {}).get("computer_use_runtime", "local")
if runtime == "local":
return get_local_booter()
elif runtime == "none":
raise RuntimeError("Sandbox runtime is disabled by configuration.")
sandbox_cfg = config.get("provider_settings", {}).get("sandbox", {})
booter_type = sandbox_cfg.get("booter", "shipyard_neo")
booter_type = sandbox_cfg.get("booter", "shipyard")
if session_id in session_booter:
booter = session_booter[session_id]
@@ -449,9 +75,6 @@ async def get_booter(
session_booter.pop(session_id, None)
if session_id not in session_booter:
uuid_str = uuid.uuid5(uuid.NAMESPACE_DNS, session_id).hex
logger.info(
f"[Computer] Initializing booter: type={booter_type}, session={session_id}"
)
if booter_type == "shipyard":
from .booters.shipyard import ShipyardBooter
@@ -463,27 +86,6 @@ async def get_booter(
client = ShipyardBooter(
endpoint_url=ep, access_token=token, ttl=ttl, session_num=max_sessions
)
elif booter_type == "shipyard_neo":
from .booters.shipyard_neo import ShipyardNeoBooter
ep = sandbox_cfg.get("shipyard_neo_endpoint", "")
token = sandbox_cfg.get("shipyard_neo_access_token", "")
ttl = sandbox_cfg.get("shipyard_neo_ttl", 3600)
profile = sandbox_cfg.get("shipyard_neo_profile", "python-default")
# Auto-discover token from Bay's credentials.json if not configured
if not token:
token = _discover_bay_credentials(ep)
logger.info(
f"[Computer] Shipyard Neo config: endpoint={ep}, profile={profile}, ttl={ttl}"
)
client = ShipyardNeoBooter(
endpoint_url=ep,
access_token=token,
profile=profile,
ttl=ttl,
)
elif booter_type == "boxlite":
from .booters.boxlite import BoxliteBooter
@@ -493,9 +95,6 @@ async def get_booter(
try:
await client.boot(uuid_str)
logger.info(
f"[Computer] Sandbox booted successfully: type={booter_type}, session={session_id}"
)
await _sync_skills_to_sandbox(client)
except Exception as e:
logger.error(f"Error booting sandbox for session {session_id}: {e}")
@@ -505,24 +104,6 @@ async def get_booter(
return session_booter[session_id]
async def sync_skills_to_active_sandboxes() -> None:
"""Best-effort skills synchronization for all active sandbox sessions."""
logger.info(
"[Computer] Syncing skills to %d active sandbox(es)", len(session_booter)
)
for session_id, booter in list(session_booter.items()):
try:
if not await booter.available():
continue
await _sync_skills_to_sandbox(booter)
except Exception as e:
logger.warning(
"Failed to sync skills to sandbox for session %s: %s",
session_id,
e,
)
def get_local_booter() -> ComputerBooter:
global local_booter
if local_booter is None:
+1 -7
View File
@@ -1,11 +1,5 @@
from .browser import BrowserComponent
from .filesystem import FileSystemComponent
from .python import PythonComponent
from .shell import ShellComponent
__all__ = [
"PythonComponent",
"ShellComponent",
"FileSystemComponent",
"BrowserComponent",
]
__all__ = ["PythonComponent", "ShellComponent", "FileSystemComponent"]
-46
View File
@@ -1,46 +0,0 @@
"""
Browser automation component
"""
from typing import Any, Protocol
class BrowserComponent(Protocol):
"""Browser operations component"""
async def exec(
self,
cmd: str,
timeout: int = 30,
description: str | None = None,
tags: str | None = None,
learn: bool = False,
include_trace: bool = False,
) -> dict[str, Any]:
"""Execute a browser automation command"""
...
async def exec_batch(
self,
commands: list[str],
timeout: int = 60,
stop_on_error: bool = True,
description: str | None = None,
tags: str | None = None,
learn: bool = False,
include_trace: bool = False,
) -> dict[str, Any]:
"""Execute a browser automation command batch"""
...
async def run_skill(
self,
skill_key: str,
timeout: int = 60,
stop_on_error: bool = True,
include_trace: bool = False,
description: str | None = None,
tags: str | None = None,
) -> dict[str, Any]:
"""Run a browser skill by skill key"""
...
-28
View File
@@ -1,36 +1,8 @@
from .browser import BrowserBatchExecTool, BrowserExecTool, RunBrowserSkillTool
from .fs import FileDownloadTool, FileUploadTool
from .neo_skills import (
AnnotateExecutionTool,
CreateSkillCandidateTool,
CreateSkillPayloadTool,
EvaluateSkillCandidateTool,
GetExecutionHistoryTool,
GetSkillPayloadTool,
ListSkillCandidatesTool,
ListSkillReleasesTool,
PromoteSkillCandidateTool,
RollbackSkillReleaseTool,
SyncSkillReleaseTool,
)
from .python import LocalPythonTool, PythonTool
from .shell import ExecuteShellTool
__all__ = [
"BrowserExecTool",
"BrowserBatchExecTool",
"RunBrowserSkillTool",
"GetExecutionHistoryTool",
"AnnotateExecutionTool",
"CreateSkillPayloadTool",
"GetSkillPayloadTool",
"CreateSkillCandidateTool",
"ListSkillCandidatesTool",
"EvaluateSkillCandidateTool",
"PromoteSkillCandidateTool",
"ListSkillReleasesTool",
"RollbackSkillReleaseTool",
"SyncSkillReleaseTool",
"FileUploadTool",
"PythonTool",
"LocalPythonTool",
-204
View File
@@ -1,204 +0,0 @@
import json
from dataclasses import dataclass, field
from typing import Any
from astrbot.api import FunctionTool
from astrbot.core.agent.run_context import ContextWrapper
from astrbot.core.agent.tool import ToolExecResult
from astrbot.core.astr_agent_context import AstrAgentContext
from ..computer_client import get_booter
def _to_json(data: Any) -> str:
return json.dumps(data, ensure_ascii=False, default=str)
def _ensure_admin(context: ContextWrapper[AstrAgentContext]) -> str | None:
if context.context.event.role != "admin":
return (
"error: Permission denied. Browser and skill lifecycle tools are only allowed "
"for admin users."
)
return None
async def _get_browser_component(context: ContextWrapper[AstrAgentContext]) -> Any:
booter = await get_booter(
context.context.context,
context.context.event.unified_msg_origin,
)
browser = getattr(booter, "browser", None)
if browser is None:
raise RuntimeError(
"Current sandbox booter does not support browser capability. "
"Please switch to shipyard_neo."
)
return browser
@dataclass
class BrowserExecTool(FunctionTool):
name: str = "astrbot_execute_browser"
description: str = "Execute one browser automation command in the sandbox."
parameters: dict = field(
default_factory=lambda: {
"type": "object",
"properties": {
"cmd": {"type": "string", "description": "Browser command to execute."},
"timeout": {"type": "integer", "default": 30},
"description": {
"type": "string",
"description": "Optional execution description.",
},
"tags": {"type": "string", "description": "Optional tags."},
"learn": {
"type": "boolean",
"description": "Whether to mark execution as learn evidence.",
"default": False,
},
"include_trace": {
"type": "boolean",
"description": "Whether to include trace_ref in response.",
"default": False,
},
},
"required": ["cmd"],
}
)
async def call(
self,
context: ContextWrapper[AstrAgentContext],
cmd: str,
timeout: int = 30,
description: str | None = None,
tags: str | None = None,
learn: bool = False,
include_trace: bool = False,
) -> ToolExecResult:
if err := _ensure_admin(context):
return err
try:
browser = await _get_browser_component(context)
result = await browser.exec(
cmd=cmd,
timeout=timeout,
description=description,
tags=tags,
learn=learn,
include_trace=include_trace,
)
return _to_json(result)
except Exception as e:
return f"Error executing browser command: {str(e)}"
@dataclass
class BrowserBatchExecTool(FunctionTool):
name: str = "astrbot_execute_browser_batch"
description: str = "Execute a browser command batch in the sandbox."
parameters: dict = field(
default_factory=lambda: {
"type": "object",
"properties": {
"commands": {
"type": "array",
"items": {"type": "string"},
"description": "Ordered browser commands.",
},
"timeout": {"type": "integer", "default": 60},
"stop_on_error": {"type": "boolean", "default": True},
"description": {
"type": "string",
"description": "Optional execution description.",
},
"tags": {"type": "string", "description": "Optional tags."},
"learn": {
"type": "boolean",
"description": "Whether to mark execution as learn evidence.",
"default": False,
},
"include_trace": {
"type": "boolean",
"description": "Whether to include trace_ref in response.",
"default": False,
},
},
"required": ["commands"],
}
)
async def call(
self,
context: ContextWrapper[AstrAgentContext],
commands: list[str],
timeout: int = 60,
stop_on_error: bool = True,
description: str | None = None,
tags: str | None = None,
learn: bool = False,
include_trace: bool = False,
) -> ToolExecResult:
if err := _ensure_admin(context):
return err
try:
browser = await _get_browser_component(context)
result = await browser.exec_batch(
commands=commands,
timeout=timeout,
stop_on_error=stop_on_error,
description=description,
tags=tags,
learn=learn,
include_trace=include_trace,
)
return _to_json(result)
except Exception as e:
return f"Error executing browser batch command: {str(e)}"
@dataclass
class RunBrowserSkillTool(FunctionTool):
name: str = "astrbot_run_browser_skill"
description: str = "Run a released browser skill in the sandbox by skill_key."
parameters: dict = field(
default_factory=lambda: {
"type": "object",
"properties": {
"skill_key": {"type": "string"},
"timeout": {"type": "integer", "default": 60},
"stop_on_error": {"type": "boolean", "default": True},
"include_trace": {"type": "boolean", "default": False},
"description": {"type": "string"},
"tags": {"type": "string"},
},
"required": ["skill_key"],
}
)
async def call(
self,
context: ContextWrapper[AstrAgentContext],
skill_key: str,
timeout: int = 60,
stop_on_error: bool = True,
include_trace: bool = False,
description: str | None = None,
tags: str | None = None,
) -> ToolExecResult:
if err := _ensure_admin(context):
return err
try:
browser = await _get_browser_component(context)
result = await browser.run_skill(
skill_key=skill_key,
timeout=timeout,
stop_on_error=stop_on_error,
include_trace=include_trace,
description=description,
tags=tags,
)
return _to_json(result)
except Exception as e:
return f"Error running browser skill: {str(e)}"
-545
View File
@@ -1,545 +0,0 @@
import json
from collections.abc import Awaitable, Callable
from dataclasses import dataclass, field
from typing import Any
from astrbot.api import FunctionTool
from astrbot.core.agent.run_context import ContextWrapper
from astrbot.core.agent.tool import ToolExecResult
from astrbot.core.astr_agent_context import AstrAgentContext
from astrbot.core.skills.neo_skill_sync import NeoSkillSyncManager
from ..computer_client import get_booter
def _to_jsonable(model_like: Any) -> Any:
if isinstance(model_like, dict):
return model_like
if isinstance(model_like, list):
return [_to_jsonable(i) for i in model_like]
if hasattr(model_like, "model_dump"):
return _to_jsonable(model_like.model_dump())
return model_like
def _to_json_text(data: Any) -> str:
return json.dumps(_to_jsonable(data), ensure_ascii=False, default=str)
def _ensure_admin(context: ContextWrapper[AstrAgentContext]) -> str | None:
if context.context.event.role != "admin":
return "error: Permission denied. Skill lifecycle tools are only allowed for admin users."
return None
async def _get_neo_context(
context: ContextWrapper[AstrAgentContext],
) -> tuple[Any, Any]:
booter = await get_booter(
context.context.context,
context.context.event.unified_msg_origin,
)
client = getattr(booter, "bay_client", None)
sandbox = getattr(booter, "sandbox", None)
if client is None or sandbox is None:
raise RuntimeError(
"Current sandbox booter does not support Neo skill lifecycle APIs. "
"Please switch to shipyard_neo."
)
return client, sandbox
@dataclass
class NeoSkillToolBase(FunctionTool):
error_prefix: str = "Error"
async def _run(
self,
context: ContextWrapper[AstrAgentContext],
neo_call: Callable[[Any, Any], Awaitable[Any]],
error_action: str,
) -> ToolExecResult:
if err := _ensure_admin(context):
return err
try:
client, sandbox = await _get_neo_context(context)
result = await neo_call(client, sandbox)
return _to_json_text(result)
except Exception as e:
return f"{self.error_prefix} {error_action}: {str(e)}"
@dataclass
class GetExecutionHistoryTool(NeoSkillToolBase):
name: str = "astrbot_get_execution_history"
description: str = "Get execution history from current sandbox."
parameters: dict = field(
default_factory=lambda: {
"type": "object",
"properties": {
"exec_type": {"type": "string"},
"success_only": {"type": "boolean", "default": False},
"limit": {"type": "integer", "default": 100},
"offset": {"type": "integer", "default": 0},
"tags": {"type": "string"},
"has_notes": {"type": "boolean", "default": False},
"has_description": {"type": "boolean", "default": False},
},
"required": [],
}
)
async def call(
self,
context: ContextWrapper[AstrAgentContext],
exec_type: str | None = None,
success_only: bool = False,
limit: int = 100,
offset: int = 0,
tags: str | None = None,
has_notes: bool = False,
has_description: bool = False,
) -> ToolExecResult:
return await self._run(
context,
lambda _client, sandbox: sandbox.get_execution_history(
exec_type=exec_type,
success_only=success_only,
limit=limit,
offset=offset,
tags=tags,
has_notes=has_notes,
has_description=has_description,
),
error_action="getting execution history",
)
@dataclass
class AnnotateExecutionTool(NeoSkillToolBase):
name: str = "astrbot_annotate_execution"
description: str = "Annotate one execution history record."
parameters: dict = field(
default_factory=lambda: {
"type": "object",
"properties": {
"execution_id": {"type": "string"},
"description": {"type": "string"},
"tags": {"type": "string"},
"notes": {"type": "string"},
},
"required": ["execution_id"],
}
)
async def call(
self,
context: ContextWrapper[AstrAgentContext],
execution_id: str,
description: str | None = None,
tags: str | None = None,
notes: str | None = None,
) -> ToolExecResult:
return await self._run(
context,
lambda _client, sandbox: sandbox.annotate_execution(
execution_id=execution_id,
description=description,
tags=tags,
notes=notes,
),
error_action="annotating execution",
)
@dataclass
class CreateSkillPayloadTool(NeoSkillToolBase):
name: str = "astrbot_create_skill_payload"
description: str = (
"Step 1/3 for Neo skill authoring: create immutable payload content and return payload_ref. "
"Use this to store skill_markdown and structured metadata; do NOT write local skill folders directly."
)
parameters: dict = field(
default_factory=lambda: {
"type": "object",
"properties": {
"payload": {
"anyOf": [
{"type": "object"},
{"type": "array", "items": {"type": "object"}},
],
"description": (
"Skill payload JSON. Typical schema: {skill_markdown, inputs, outputs, meta}. "
"This only stores content and returns payload_ref; it does not create a candidate or release."
),
},
"kind": {
"type": "string",
"description": "Payload kind.",
"default": "astrbot_skill_v1",
},
},
"required": ["payload"],
}
)
async def call(
self,
context: ContextWrapper[AstrAgentContext],
payload: dict[str, Any] | list[Any],
kind: str = "astrbot_skill_v1",
) -> ToolExecResult:
return await self._run(
context,
lambda client, _sandbox: client.skills.create_payload(
payload=payload,
kind=kind,
),
error_action="creating skill payload",
)
@dataclass
class GetSkillPayloadTool(NeoSkillToolBase):
name: str = "astrbot_get_skill_payload"
description: str = "Get one skill payload by payload_ref."
parameters: dict = field(
default_factory=lambda: {
"type": "object",
"properties": {
"payload_ref": {"type": "string"},
},
"required": ["payload_ref"],
}
)
async def call(
self,
context: ContextWrapper[AstrAgentContext],
payload_ref: str,
) -> ToolExecResult:
return await self._run(
context,
lambda client, _sandbox: client.skills.get_payload(payload_ref),
error_action="getting skill payload",
)
@dataclass
class CreateSkillCandidateTool(NeoSkillToolBase):
name: str = "astrbot_create_skill_candidate"
description: str = (
"Step 2/3 for Neo skill authoring: create a candidate by binding execution evidence "
"(source_execution_ids) with skill identity (skill_key) and optional payload_ref."
)
parameters: dict = field(
default_factory=lambda: {
"type": "object",
"properties": {
"skill_key": {
"type": "string",
"description": "Stable logical identifier, e.g. image-collage-9grid.",
},
"source_execution_ids": {
"type": "array",
"items": {"type": "string"},
"description": "Execution evidence IDs captured from sandbox history.",
},
"scenario_key": {
"type": "string",
"description": "Optional scenario namespace for grouping candidates.",
},
"payload_ref": {
"type": "string",
"description": "Optional payload reference created by astrbot_create_skill_payload.",
},
},
"required": ["skill_key", "source_execution_ids"],
}
)
async def call(
self,
context: ContextWrapper[AstrAgentContext],
skill_key: str,
source_execution_ids: list[str],
scenario_key: str | None = None,
payload_ref: str | None = None,
) -> ToolExecResult:
return await self._run(
context,
lambda client, _sandbox: client.skills.create_candidate(
skill_key=skill_key,
source_execution_ids=source_execution_ids,
scenario_key=scenario_key,
payload_ref=payload_ref,
),
error_action="creating skill candidate",
)
@dataclass
class ListSkillCandidatesTool(NeoSkillToolBase):
name: str = "astrbot_list_skill_candidates"
description: str = "List skill candidates."
parameters: dict = field(
default_factory=lambda: {
"type": "object",
"properties": {
"status": {"type": "string"},
"skill_key": {"type": "string"},
"limit": {"type": "integer", "default": 100},
"offset": {"type": "integer", "default": 0},
},
"required": [],
}
)
async def call(
self,
context: ContextWrapper[AstrAgentContext],
status: str | None = None,
skill_key: str | None = None,
limit: int = 100,
offset: int = 0,
) -> ToolExecResult:
return await self._run(
context,
lambda client, _sandbox: client.skills.list_candidates(
status=status,
skill_key=skill_key,
limit=limit,
offset=offset,
),
error_action="listing skill candidates",
)
@dataclass
class EvaluateSkillCandidateTool(NeoSkillToolBase):
name: str = "astrbot_evaluate_skill_candidate"
description: str = "Evaluate a skill candidate."
parameters: dict = field(
default_factory=lambda: {
"type": "object",
"properties": {
"candidate_id": {"type": "string"},
"passed": {"type": "boolean"},
"score": {"type": "number"},
"benchmark_id": {"type": "string"},
"report": {"type": "string"},
},
"required": ["candidate_id", "passed"],
}
)
async def call(
self,
context: ContextWrapper[AstrAgentContext],
candidate_id: str,
passed: bool,
score: float | None = None,
benchmark_id: str | None = None,
report: str | None = None,
) -> ToolExecResult:
return await self._run(
context,
lambda client, _sandbox: client.skills.evaluate_candidate(
candidate_id,
passed=passed,
score=score,
benchmark_id=benchmark_id,
report=report,
),
error_action="evaluating skill candidate",
)
@dataclass
class PromoteSkillCandidateTool(NeoSkillToolBase):
name: str = "astrbot_promote_skill_candidate"
description: str = (
"Step 3/3 for Neo skill authoring: promote candidate to canary/stable release. "
"If stage=stable and sync_to_local=true, payload.skill_markdown is synced to local SKILL.md automatically."
)
parameters: dict = field(
default_factory=lambda: {
"type": "object",
"properties": {
"candidate_id": {"type": "string"},
"stage": {
"type": "string",
"description": "Release stage: canary/stable",
"default": "canary",
},
"sync_to_local": {
"type": "boolean",
"description": (
"Only used with stage=stable. true means sync payload.skill_markdown to local SKILL.md; "
"false means release remains Neo-side only."
),
"default": True,
},
},
"required": ["candidate_id"],
}
)
async def call(
self,
context: ContextWrapper[AstrAgentContext],
candidate_id: str,
stage: str = "canary",
sync_to_local: bool = True,
) -> ToolExecResult:
if err := _ensure_admin(context):
return err
if stage not in {"canary", "stable"}:
return "Error promoting skill candidate: stage must be canary or stable."
try:
client, _sandbox = await _get_neo_context(context)
sync_mgr = NeoSkillSyncManager()
result = await sync_mgr.promote_with_optional_sync(
client,
candidate_id=candidate_id,
stage=stage,
sync_to_local=sync_to_local,
)
if result.get("sync_error"):
rollback_json = result.get("rollback")
if rollback_json:
return (
"Error promoting skill candidate: stable release synced failed; "
f"auto rollback succeeded. sync_error={result['sync_error']}; "
f"rollback={_to_json_text(rollback_json)}"
)
return _to_json_text(
{
"release": result.get("release"),
"sync": result.get("sync"),
"rollback": result.get("rollback"),
}
)
except Exception as e:
return f"Error promoting skill candidate: {str(e)}"
@dataclass
class ListSkillReleasesTool(NeoSkillToolBase):
name: str = "astrbot_list_skill_releases"
description: str = "List skill releases."
parameters: dict = field(
default_factory=lambda: {
"type": "object",
"properties": {
"skill_key": {"type": "string"},
"active_only": {"type": "boolean", "default": False},
"stage": {"type": "string"},
"limit": {"type": "integer", "default": 100},
"offset": {"type": "integer", "default": 0},
},
"required": [],
}
)
async def call(
self,
context: ContextWrapper[AstrAgentContext],
skill_key: str | None = None,
active_only: bool = False,
stage: str | None = None,
limit: int = 100,
offset: int = 0,
) -> ToolExecResult:
return await self._run(
context,
lambda client, _sandbox: client.skills.list_releases(
skill_key=skill_key,
active_only=active_only,
stage=stage,
limit=limit,
offset=offset,
),
error_action="listing skill releases",
)
@dataclass
class RollbackSkillReleaseTool(NeoSkillToolBase):
name: str = "astrbot_rollback_skill_release"
description: str = "Rollback one skill release."
parameters: dict = field(
default_factory=lambda: {
"type": "object",
"properties": {
"release_id": {"type": "string"},
},
"required": ["release_id"],
}
)
async def call(
self,
context: ContextWrapper[AstrAgentContext],
release_id: str,
) -> ToolExecResult:
return await self._run(
context,
lambda client, _sandbox: client.skills.rollback_release(release_id),
error_action="rolling back skill release",
)
@dataclass
class SyncSkillReleaseTool(NeoSkillToolBase):
name: str = "astrbot_sync_skill_release"
description: str = (
"Sync stable Neo release payload to local SKILL.md and update mapping metadata."
)
parameters: dict = field(
default_factory=lambda: {
"type": "object",
"properties": {
"release_id": {"type": "string"},
"skill_key": {"type": "string"},
"require_stable": {"type": "boolean", "default": True},
},
"required": [],
}
)
async def call(
self,
context: ContextWrapper[AstrAgentContext],
release_id: str | None = None,
skill_key: str | None = None,
require_stable: bool = True,
) -> ToolExecResult:
return await self._run(
context,
lambda client, _sandbox: _sync_release_to_dict(
client,
release_id=release_id,
skill_key=skill_key,
require_stable=require_stable,
),
error_action="syncing skill release",
)
async def _sync_release_to_dict(
client: Any,
*,
release_id: str | None,
skill_key: str | None,
require_stable: bool,
) -> dict[str, str]:
sync_mgr = NeoSkillSyncManager()
result = await sync_mgr.sync_release(
client,
release_id=release_id,
skill_key=skill_key,
require_stable=require_stable,
)
return sync_mgr.sync_result_to_dict(result)
+2 -8
View File
@@ -1,4 +1,3 @@
import platform
from dataclasses import dataclass, field
import mcp
@@ -11,8 +10,6 @@ from astrbot.core.computer.computer_client import get_booter, get_local_booter
from astrbot.core.computer.tools.permissions import check_admin_permission
from astrbot.core.message.message_event_result import MessageChain
_OS_NAME = platform.system()
param_schema = {
"type": "object",
"properties": {
@@ -64,7 +61,7 @@ async def handle_result(result: dict, event: AstrMessageEvent) -> ToolExecResult
@dataclass
class PythonTool(FunctionTool):
name: str = "astrbot_execute_ipython"
description: str = f"Run codes in an IPython shell. Current OS: {_OS_NAME}."
description: str = "Run codes in an IPython shell."
parameters: dict = field(default_factory=lambda: param_schema)
async def call(
@@ -86,10 +83,7 @@ class PythonTool(FunctionTool):
@dataclass
class LocalPythonTool(FunctionTool):
name: str = "astrbot_execute_python"
description: str = (
f"Execute codes in a Python environment. Current OS: {_OS_NAME}. "
"Use system-compatible commands."
)
description: str = "Execute codes in a Python environment."
parameters: dict = field(default_factory=lambda: param_schema)
+51 -235
View File
@@ -5,7 +5,7 @@ from typing import Any, TypedDict
from astrbot.core.utils.astrbot_path import get_astrbot_data_path
VERSION = "4.20.1"
VERSION = "4.18.3"
DB_PATH = os.path.join(get_astrbot_data_path(), "data_v4.db")
WEBHOOK_SUPPORTED_PLATFORMS = [
@@ -132,15 +132,11 @@ DEFAULT_CONFIG = {
"computer_use_runtime": "none",
"computer_use_require_admin": True,
"sandbox": {
"booter": "shipyard_neo",
"booter": "shipyard",
"shipyard_endpoint": "",
"shipyard_access_token": "",
"shipyard_ttl": 3600,
"shipyard_max_sessions": 10,
"shipyard_neo_endpoint": "",
"shipyard_neo_access_token": "",
"shipyard_neo_profile": "python-default",
"shipyard_neo_ttl": 3600,
},
},
# SubAgent orchestrator mode:
@@ -219,9 +215,6 @@ DEFAULT_CONFIG = {
"telegram": {
"pre_ack_emoji": {"enable": False, "emojis": ["✍️"]},
},
"discord": {
"pre_ack_emoji": {"enable": False, "emojis": ["🤔"]},
},
},
"wake_prefix": ["/"],
"log_level": "INFO",
@@ -345,20 +338,14 @@ CONFIG_METADATA_2 = {
"企业微信智能机器人": {
"id": "wecom_ai_bot",
"type": "wecom_ai_bot",
"hint": "如果发现字段有异常,请重新创建",
"enable": True,
"wecom_ai_bot_connection_mode": "long_connection", # long_connection, webhook
"wecom_ai_bot_name": "",
"wecomaibot_ws_bot_id": "",
"wecomaibot_ws_secret": "",
"wecomaibot_token": "",
"wecomaibot_encoding_aes_key": "",
"wecomaibot_init_respond_text": "",
"wecomaibot_friend_message_welcome_text": "",
"wecom_ai_bot_name": "",
"msg_push_webhook_url": "",
"only_use_webhook_url_to_send": False,
"wecomaibot_ws_url": "wss://openws.work.weixin.qq.com",
"wecomaibot_heartbeat_interval": 30,
"token": "",
"encoding_aes_key": "",
"unified_webhook_mode": True,
"webhook_uuid": "",
"callback_server_host": "0.0.0.0",
@@ -404,6 +391,7 @@ CONFIG_METADATA_2 = {
"discord_token": "",
"discord_proxy": "",
"discord_command_register": True,
"discord_guild_id_for_debug": "",
"discord_activity_name": "",
},
"Misskey": {
@@ -458,19 +446,6 @@ CONFIG_METADATA_2 = {
"satori_heartbeat_interval": 10,
"satori_reconnect_delay": 5,
},
"kook": {
"id": "kook",
"type": "kook",
"enable": False,
"kook_bot_token": "",
"kook_reconnect_delay": 1,
"kook_max_reconnect_delay": 60,
"kook_max_retry_delay": 60,
"kook_heartbeat_interval": 30,
"kook_heartbeat_timeout": 6,
"kook_max_heartbeat_failures": 3,
"kook_max_consecutive_failures": 5,
},
# "WebChat": {
# "id": "webchat",
# "type": "webchat",
@@ -740,13 +715,6 @@ CONFIG_METADATA_2 = {
"type": "string",
"hint": "请务必填写正确,否则无法使用一些指令。",
},
"wecom_ai_bot_connection_mode": {
"description": "企业微信智能机器人连接模式",
"type": "string",
"options": ["webhook", "long_connection"],
"labels": ["Webhook 回调", "长连接"],
"hint": "Webhook 回调模式需要配置 Token/EncodingAESKey。长连接模式需要配置 BotID/Secret。",
},
"wecomaibot_init_respond_text": {
"description": "企业微信智能机器人初始响应文本",
"type": "string",
@@ -757,22 +725,6 @@ CONFIG_METADATA_2 = {
"type": "string",
"hint": "当用户当天进入智能机器人单聊会话,回复欢迎语,留空则不回复。",
},
"wecomaibot_token": {
"description": "企业微信智能机器人 Token",
"type": "string",
"hint": "用于 Webhook 回调模式的身份验证。",
"condition": {
"wecom_ai_bot_connection_mode": "webhook",
},
},
"wecomaibot_encoding_aes_key": {
"description": "企业微信智能机器人 EncodingAESKey",
"type": "string",
"hint": "用于 Webhook 回调模式的消息加密解密。",
"condition": {
"wecom_ai_bot_connection_mode": "webhook",
},
},
"msg_push_webhook_url": {
"description": "企业微信消息推送 Webhook URL",
"type": "string",
@@ -783,40 +735,6 @@ CONFIG_METADATA_2 = {
"type": "bool",
"hint": "启用后,企业微信智能机器人的所有回复都改为通过消息推送 Webhook 发送。消息推送 Webhook 支持更多的消息类型(如图片、文件等)。",
},
"wecomaibot_ws_bot_id": {
"description": "长连接 BotID",
"type": "string",
"hint": "企业微信智能机器人长连接模式凭证 BotID。",
"condition": {
"wecom_ai_bot_connection_mode": "long_connection",
},
},
"wecomaibot_ws_secret": {
"description": "长连接 Secret",
"type": "string",
"hint": "企业微信智能机器人长连接模式凭证 Secret。",
"condition": {
"wecom_ai_bot_connection_mode": "long_connection",
},
},
"wecomaibot_ws_url": {
"description": "长连接 WebSocket 地址",
"type": "string",
"invisible": True,
"hint": "默认值为 wss://openws.work.weixin.qq.com,一般无需修改。",
"condition": {
"wecom_ai_bot_connection_mode": "long_connection",
},
},
"wecomaibot_heartbeat_interval": {
"description": "长连接心跳间隔",
"type": "int",
"invisible": True,
"hint": "长连接模式心跳间隔(秒),建议 30 秒。",
"condition": {
"wecom_ai_bot_connection_mode": "long_connection",
},
},
"lark_bot_name": {
"description": "飞书机器人的名字",
"type": "string",
@@ -833,8 +751,7 @@ CONFIG_METADATA_2 = {
"hint": "可选的代理地址:http://ip:port",
},
"discord_command_register": {
"description": "注册 Discord 指令",
"hint": "启用后,自动将插件指令注册为 Discord 斜杠指令",
"description": "是否自动将插件指令注册 Discord 斜杠指令",
"type": "bool",
},
"discord_activity_name": {
@@ -861,7 +778,7 @@ CONFIG_METADATA_2 = {
"unified_webhook_mode": {
"description": "统一 Webhook 模式",
"type": "bool",
"hint": "Webhook 模式下使用 AstrBot 统一 Webhook 入口,无需单独开启端口。回调地址为 /api/platform/webhook/{webhook_uuid}",
"hint": "启用后,将使用 AstrBot 统一 Webhook 入口,无需单独开启端口。回调地址为 /api/platform/webhook/{webhook_uuid}",
},
"webhook_uuid": {
"invisible": True,
@@ -869,46 +786,6 @@ CONFIG_METADATA_2 = {
"type": "string",
"hint": "统一 Webhook 模式下的唯一标识符,创建平台时自动生成。",
},
"kook_bot_token": {
"description": "机器人 Token",
"type": "string",
"hint": "必填项。从 KOOK 开发者平台获取的机器人 Token。",
},
"kook_reconnect_delay": {
"description": "重连延迟",
"type": "int",
"hint": "重连延迟时间(秒),使用指数退避策略。",
},
"kook_max_reconnect_delay": {
"description": "最大重连延迟",
"type": "int",
"hint": "重连延迟的最大值(秒)。",
},
"kook_max_retry_delay": {
"description": "最大重试延迟",
"type": "int",
"hint": "重试的最大延迟时间(秒)。",
},
"kook_heartbeat_interval": {
"description": "心跳间隔",
"type": "int",
"hint": "心跳检测间隔时间(秒)。",
},
"kook_heartbeat_timeout": {
"description": "心跳超时时间",
"type": "int",
"hint": "心跳检测超时时间(秒)。",
},
"kook_max_heartbeat_failures": {
"description": "最大心跳失败次数",
"type": "int",
"hint": "允许的最大心跳失败次数,超过后断开连接。",
},
"kook_max_consecutive_failures": {
"description": "最大连续失败次数",
"type": "int",
"hint": "允许的最大连续失败次数,超过后停止重试。",
},
},
},
"platform_settings": {
@@ -1126,18 +1003,6 @@ CONFIG_METADATA_2 = {
"proxy": "",
"custom_headers": {},
},
"MiniMax": {
"id": "minimax",
"provider": "minimax",
"type": "openai_chat_completion",
"provider_type": "chat_completion",
"enable": True,
"key": [],
"api_base": "https://api.minimaxi.com/v1",
"timeout": 120,
"proxy": "",
"custom_headers": {},
},
"xAI": {
"id": "xai",
"provider": "xai",
@@ -1195,7 +1060,7 @@ CONFIG_METADATA_2 = {
"enable": True,
"key": [],
"timeout": 120,
"api_base": "https://openrouter.ai/api/v1",
"api_base": "https://openrouter.ai/v1",
"proxy": "",
"custom_headers": {},
},
@@ -3006,48 +2871,12 @@ CONFIG_METADATA_3 = {
"provider_settings.sandbox.booter": {
"description": "沙箱环境驱动器",
"type": "string",
"options": ["shipyard_neo", "shipyard"],
"labels": ["Shipyard Neo", "Shipyard"],
"options": ["shipyard"],
"labels": ["Shipyard"],
"condition": {
"provider_settings.computer_use_runtime": "sandbox",
},
},
"provider_settings.sandbox.shipyard_neo_endpoint": {
"description": "Shipyard Neo API Endpoint",
"type": "string",
"hint": "Shipyard Neo(Bay) 服务的 API 地址,默认 http://127.0.0.1:8114。",
"condition": {
"provider_settings.computer_use_runtime": "sandbox",
"provider_settings.sandbox.booter": "shipyard_neo",
},
},
"provider_settings.sandbox.shipyard_neo_access_token": {
"description": "Shipyard Neo Access Token",
"type": "string",
"hint": "Bay 的 API Keysk-bay-...)。留空时自动从 credentials.json 发现。",
"condition": {
"provider_settings.computer_use_runtime": "sandbox",
"provider_settings.sandbox.booter": "shipyard_neo",
},
},
"provider_settings.sandbox.shipyard_neo_profile": {
"description": "Shipyard Neo Profile",
"type": "string",
"hint": "Shipyard Neo 沙箱 profile,如 python-default。",
"condition": {
"provider_settings.computer_use_runtime": "sandbox",
"provider_settings.sandbox.booter": "shipyard_neo",
},
},
"provider_settings.sandbox.shipyard_neo_ttl": {
"description": "Shipyard Neo Sandbox TTL",
"type": "int",
"hint": "Shipyard Neo 沙箱生存时间(秒)。",
"condition": {
"provider_settings.computer_use_runtime": "sandbox",
"provider_settings.sandbox.booter": "shipyard_neo",
},
},
"provider_settings.sandbox.shipyard_endpoint": {
"description": "Shipyard API Endpoint",
"type": "string",
@@ -3283,6 +3112,46 @@ CONFIG_METADATA_3 = {
"provider_settings.agent_runner_type": "local",
},
},
"provider_settings.max_quoted_fallback_images": {
"description": "引用图片回退解析上限",
"type": "int",
"hint": "引用/转发消息回退解析图片时的最大注入数量,超出会截断。",
"condition": {
"provider_settings.agent_runner_type": "local",
},
},
"provider_settings.quoted_message_parser.max_component_chain_depth": {
"description": "引用解析组件链深度",
"type": "int",
"hint": "解析 Reply 组件链时允许的最大递归深度。",
"condition": {
"provider_settings.agent_runner_type": "local",
},
},
"provider_settings.quoted_message_parser.max_forward_node_depth": {
"description": "引用解析转发节点深度",
"type": "int",
"hint": "解析合并转发节点时允许的最大递归深度。",
"condition": {
"provider_settings.agent_runner_type": "local",
},
},
"provider_settings.quoted_message_parser.max_forward_fetch": {
"description": "引用解析转发拉取上限",
"type": "int",
"hint": "递归拉取 get_forward_msg 的最大次数。",
"condition": {
"provider_settings.agent_runner_type": "local",
},
},
"provider_settings.quoted_message_parser.warn_on_action_failure": {
"description": "引用解析 action 失败告警",
"type": "bool",
"hint": "开启后,get_msg/get_forward_msg 全部尝试失败时输出 warning 日志。",
"condition": {
"provider_settings.agent_runner_type": "local",
},
},
"provider_settings.max_agent_step": {
"description": "工具调用轮数上限",
"type": "int",
@@ -3326,46 +3195,6 @@ CONFIG_METADATA_3 = {
"type": "bool",
"hint": "/provider 命令列出模型时是否并发检测连通性。开启后会主动调用模型测试连通性,可能产生额外 token 消耗。",
},
"provider_settings.max_quoted_fallback_images": {
"description": "引用图片回退解析上限",
"type": "int",
"hint": "引用/转发消息回退解析图片时的最大注入数量,超出会截断。",
"condition": {
"provider_settings.agent_runner_type": "local",
},
},
"provider_settings.quoted_message_parser.max_component_chain_depth": {
"description": "引用解析组件链深度",
"type": "int",
"hint": "解析 Reply 组件链时允许的最大递归深度。",
"condition": {
"provider_settings.agent_runner_type": "local",
},
},
"provider_settings.quoted_message_parser.max_forward_node_depth": {
"description": "引用解析转发节点深度",
"type": "int",
"hint": "解析合并转发节点时允许的最大递归深度。",
"condition": {
"provider_settings.agent_runner_type": "local",
},
},
"provider_settings.quoted_message_parser.max_forward_fetch": {
"description": "引用解析转发拉取上限",
"type": "int",
"hint": "递归拉取 get_forward_msg 的最大次数。",
"condition": {
"provider_settings.agent_runner_type": "local",
},
},
"provider_settings.quoted_message_parser.warn_on_action_failure": {
"description": "引用解析 action 失败告警",
"type": "bool",
"hint": "开启后,get_msg/get_forward_msg 全部尝试失败时输出 warning 日志。",
"condition": {
"provider_settings.agent_runner_type": "local",
},
},
},
"condition": {
"provider_settings.enable": True,
@@ -3577,19 +3406,6 @@ CONFIG_METADATA_3 = {
"platform_specific.telegram.pre_ack_emoji.enable": True,
},
},
"platform_specific.discord.pre_ack_emoji.enable": {
"description": "[Discord] 启用预回应表情",
"type": "bool",
},
"platform_specific.discord.pre_ack_emoji.emojis": {
"description": "表情列表(Unicode 或自定义表情名)",
"type": "list",
"items": {"type": "string"},
"hint": "填写 Unicode 表情符号,例如:👍、🤔、⏳",
"condition": {
"platform_specific.discord.pre_ack_emoji.enable": True,
},
},
},
},
},
+2 -2
View File
@@ -332,9 +332,9 @@ class CronJobManager:
cron_job=cron_job_str
)
req.prompt = (
"You are now responding to a scheduled task. "
"You are now responding to a scheduled task"
"Proceed according to your system instructions. "
"Output using same language as previous conversation. "
"Output using same language as previous conversation."
"After completing your task, summarize and output your actions and results."
)
if not req.func_tool:
-15
View File
@@ -33,18 +33,10 @@ class BaseDatabase(abc.ABC):
DATABASE_URL = ""
def __init__(self) -> None:
# SQLite only supports a single writer at a time. Without a busy
# timeout the driver raises "database is locked" instantly when a
# second write is attempted. Setting timeout=30 tells SQLite to
# wait up to 30 s for the lock, which is enough to ride out brief
# write bursts from concurrent agent/metrics/session operations.
is_sqlite = "sqlite" in self.DATABASE_URL
connect_args = {"timeout": 30} if is_sqlite else {}
self.engine = create_async_engine(
self.DATABASE_URL,
echo=False,
future=True,
connect_args=connect_args,
)
self.AsyncSessionLocal = async_sessionmaker(
self.engine,
@@ -655,13 +647,6 @@ class BaseDatabase(abc.ABC):
"""Get a Platform session by its ID."""
...
@abc.abstractmethod
async def get_platform_sessions_by_ids(
self, session_ids: list[str]
) -> list[PlatformSession]:
"""Get platform sessions by IDs."""
...
@abc.abstractmethod
async def get_platform_sessions_by_creator(
self,
-15
View File
@@ -1417,21 +1417,6 @@ class SQLiteDatabase(BaseDatabase):
result = await session.execute(query)
return result.scalar_one_or_none()
async def get_platform_sessions_by_ids(
self, session_ids: list[str]
) -> list[PlatformSession]:
"""Get platform sessions by IDs."""
if not session_ids:
return []
async with self.get_db() as session:
session: AsyncSession
query = select(PlatformSession).where(
col(PlatformSession.session_id).in_(session_ids)
)
result = await session.execute(query)
return list(result.scalars().all())
async def get_platform_sessions_by_creator(
self,
creator: str,
-4
View File
@@ -175,10 +175,6 @@ class LogManager:
_trace_sink_id: int | None = None
_NOISY_LOGGER_LEVELS: dict[str, int] = {
"aiosqlite": logging.WARNING,
"filelock": logging.WARNING,
"asyncio": logging.WARNING,
"tzlocal": logging.WARNING,
"apscheduler": logging.WARNING,
}
@classmethod
+21 -47
View File
@@ -96,10 +96,10 @@ class Plain(BaseMessageComponent):
def __init__(self, text: str, convert: bool = True, **_) -> None:
super().__init__(text=text, convert=convert, **_)
def toDict(self) -> dict:
return {"type": "text", "data": {"text": self.text}}
def toDict(self):
return {"type": "text", "data": {"text": self.text.strip()}}
async def to_dict(self) -> dict:
async def to_dict(self):
return {"type": "text", "data": {"text": self.text}}
@@ -539,36 +539,13 @@ class Reply(BaseMessageComponent):
class Poke(BaseMessageComponent):
type: ComponentType = ComponentType.Poke
_type: str | int = "126"
id: int | str | None = 0
qq: int | str | None = 0 # deprecated: legacy field, kept for compatibility
type: str = ComponentType.Poke
id: int | None = 0
qq: int | None = 0
def __init__(self, poke_type: str | int | None = None, **_) -> None:
# Backward compatible with old signature: Poke(type="poke", ...)
legacy_type = _.pop("type", None)
if poke_type is None:
poke_type = legacy_type
if poke_type in (None, "", "poke", "Poke"):
poke_type = "126"
super().__init__(_type=str(poke_type), **_)
def target_id(self) -> str | None:
"""Return normalized target id, compatible with old `qq` field."""
for value in (self.id, self.qq):
if value is None:
continue
text = str(value).strip()
if text and text != "0":
return text
return None
def toDict(self):
target_id = self.target_id()
data = {"type": str(self._type or "126")}
if target_id:
data["id"] = target_id
return {"type": "poke", "data": data}
def __init__(self, type: str, **_) -> None:
type = f"Poke:{type}"
super().__init__(type=type, **_)
class Forward(BaseMessageComponent):
@@ -699,24 +676,21 @@ class File(BaseMessageComponent):
if self.url:
try:
# 检查是否有正在运行的 event loop
asyncio.get_running_loop()
logger.warning(
"不可以在异步上下文中同步等待下载! "
"这个警告通常发生于某些逻辑试图通过 <File>.file 获取文件消息段的文件内容。"
"请使用 await get_file() 代替直接获取 <File>.file 字段",
)
return ""
except RuntimeError:
# 没有运行中的 event loop,可以同步执行
try:
# 使用 asyncio.run 安全地创建和关闭事件循环
asyncio.run(self._download_file())
except Exception:
logger.exception("文件下载失败")
loop = asyncio.get_event_loop()
if loop.is_running():
logger.warning(
"不可以在异步上下文中同步等待下载! "
"这个警告通常发生于某些逻辑试图通过 <File>.file 获取文件消息段的文件内容。"
"请使用 await get_file() 代替直接获取 <File>.file 字段",
)
return ""
# 等待下载完成
loop.run_until_complete(self._download_file())
if self.file_ and os.path.exists(self.file_):
return os.path.abspath(self.file_)
except Exception as e:
logger.error(f"文件下载失败: {e}")
return ""
+6 -17
View File
@@ -44,22 +44,6 @@ class PersonaManager:
raise ValueError(f"Persona with ID {persona_id} does not exist.")
return persona
def get_persona_v3_by_id(self, persona_id: str | None) -> Personality | None:
"""Resolve a v3 persona object by id.
- None/empty id returns None.
- "default" maps to in-memory DEFAULT_PERSONALITY.
- Otherwise search in personas_v3 by persona name.
"""
if not persona_id:
return None
if persona_id == "default":
return DEFAULT_PERSONALITY
return next(
(persona for persona in self.personas_v3 if persona["name"] == persona_id),
None,
)
async def get_default_persona_v3(
self,
umo: str | MessageSession | None = None,
@@ -70,7 +54,12 @@ class PersonaManager:
"default_personality",
"default",
)
return self.get_persona_v3_by_id(default_persona_id) or DEFAULT_PERSONALITY
if not default_persona_id or default_persona_id == "default":
return DEFAULT_PERSONALITY
try:
return next(p for p in self.personas_v3 if p["name"] == default_persona_id)
except Exception:
return DEFAULT_PERSONALITY
async def resolve_selected_persona(
self,
@@ -27,7 +27,7 @@ class PreProcessStage(Stage):
) -> None | AsyncGenerator[None, None]:
"""在处理事件之前的预处理"""
# 平台特异配置:platform_specific.<platform>.pre_ack_emoji
supported = {"telegram", "lark", "discord"}
supported = {"telegram", "lark"}
platform = event.get_platform_name()
cfg = (
self.config.get("platform_specific", {})
+1 -1
View File
@@ -28,7 +28,7 @@ class RespondStage(Stage):
Comp.At: lambda comp: bool(comp.qq) or bool(comp.name), # @
Comp.Image: lambda comp: bool(comp.file), # 图片
Comp.Reply: lambda comp: bool(comp.id) and comp.sender_id is not None, # 回复
Comp.Poke: lambda comp: comp.target_id() is not None, # 戳一戳
Comp.Poke: lambda comp: comp.id != 0 and comp.qq != 0, # 戳一戳
Comp.Node: lambda comp: bool(comp.content), # 转发节点
Comp.Nodes: lambda comp: bool(comp.nodes), # 多个转发节点
Comp.File: lambda comp: bool(comp.file_ or comp.url),
@@ -5,7 +5,7 @@ import traceback
from collections.abc import AsyncGenerator
from astrbot.core import file_token_service, html_renderer, logger
from astrbot.core.message.components import At, Image, Node, Plain, Record, Reply
from astrbot.core.message.components import At, File, Image, Node, Plain, Record, Reply
from astrbot.core.message.message_event_result import ResultContentType
from astrbot.core.pipeline.content_safety_check.stage import ContentSafetyCheckStage
from astrbot.core.platform.astr_message_event import AstrMessageEvent
@@ -383,11 +383,8 @@ class ResultDecorateStage(Stage):
)
result.chain = [node]
# at 回复 / 引用回复仅适用于纯文本或图文消息
can_decorate = all(
isinstance(item, (Plain, Image)) for item in result.chain
)
if can_decorate:
has_plain = any(isinstance(item, Plain) for item in result.chain)
if has_plain:
# at 回复
if (
self.reply_with_mention
@@ -402,4 +399,5 @@ class ResultDecorateStage(Stage):
# 引用回复
if self.reply_with_quote:
result.chain.insert(0, Reply(id=event.message_obj.message_id))
if not any(isinstance(item, File) for item in result.chain):
result.chain.insert(0, Reply(id=event.message_obj.message_id))
-4
View File
@@ -180,10 +180,6 @@ class PlatformManager:
from .sources.line.line_adapter import (
LinePlatformAdapter, # noqa: F401
)
case "kook":
from .sources.kook.kook_adapter import (
KookPlatformAdapter, # noqa: F401
)
except (ImportError, ModuleNotFoundError) as e:
logger.error(
f"加载平台适配器 {platform_config['type']} 失败,原因:{e}。请检查依赖库是否安装。提示:可以在 管理面板->平台日志->安装Pip库 中安装依赖库。",
@@ -6,7 +6,6 @@ from aiocqhttp import CQHttp, Event
from astrbot.api.event import AstrMessageEvent, MessageChain
from astrbot.api.message_components import (
At,
BaseMessageComponent,
File,
Image,
@@ -71,19 +70,11 @@ class AiocqhttpMessageEvent(AstrMessageEvent):
"""解析成 OneBot json 格式"""
ret = []
for segment in message_chain.chain:
if isinstance(segment, At):
# At 组件后插入一个空格,避免与后续文本粘连
d = await AiocqhttpMessageEvent._from_segment_to_dict(segment)
ret.append(d)
ret.append({"type": "text", "data": {"text": " "}})
elif isinstance(segment, Plain):
if isinstance(segment, Plain):
if not segment.text.strip():
continue
d = await AiocqhttpMessageEvent._from_segment_to_dict(segment)
ret.append(d)
else:
d = await AiocqhttpMessageEvent._from_segment_to_dict(segment)
ret.append(d)
d = await AiocqhttpMessageEvent._from_segment_to_dict(segment)
ret.append(d)
return ret
@classmethod
@@ -191,7 +191,7 @@ class AiocqhttpAdapter(Platform):
if "sub_type" in event:
if event["sub_type"] == "poke" and "target_id" in event:
abm.message.append(Poke(id=str(event["target_id"])))
abm.message.append(Poke(qq=str(event["target_id"]), type="poke"))
return abm
@@ -11,7 +11,7 @@ from dingtalk_stream import AckMessage
from astrbot import logger
from astrbot.api.event import MessageChain
from astrbot.api.message_components import At, File, Image, Plain, Record, Video
from astrbot.api.message_components import At, Image, Plain, Record, Video
from astrbot.api.platform import (
AstrBotMessage,
MessageMember,
@@ -178,110 +178,29 @@ class DingtalkPlatformAdapter(Platform):
abm.session_id = abm.sender.user_id
message_type: str = cast(str, message.message_type)
robot_code = cast(str, message.robot_code or "")
raw_content = cast(dict, message.extensions.get("content") or {})
if not isinstance(raw_content, dict):
raw_content = {}
match message_type:
case "text":
abm.message_str = message.text.content.strip()
abm.message.append(Plain(abm.message_str))
case "picture":
if not robot_code:
logger.error("钉钉图片消息解析失败: 回调中缺少 robotCode")
await self._remember_sender_binding(message, abm)
return abm
image_content = cast(
dingtalk_stream.ImageContent | None,
message.image_content,
)
download_code = cast(
str, (image_content.download_code if image_content else "") or ""
)
if not download_code:
logger.warning("钉钉图片消息缺少 downloadCode,已跳过")
else:
f_path = await self.download_ding_file(
download_code,
robot_code,
"jpg",
)
if f_path:
abm.message.append(Image.fromFileSystem(f_path))
else:
logger.warning("钉钉图片消息下载失败,无法解析为图片")
case "richText":
rtc: dingtalk_stream.RichTextContent = cast(
dingtalk_stream.RichTextContent, message.rich_text_content
)
contents: list[dict] = cast(list[dict], rtc.rich_text_list)
plain_parts: list[str] = []
for content in contents:
plains = ""
if "text" in content:
plain_text = cast(str, content.get("text") or "")
if plain_text:
plain_parts.append(plain_text)
abm.message.append(Plain(plain_text))
plains += content["text"]
abm.message.append(Plain(plains))
elif "type" in content and content["type"] == "picture":
download_code = cast(str, content.get("downloadCode") or "")
if not download_code:
logger.warning(
"钉钉富文本图片消息缺少 downloadCode,已跳过"
)
continue
if not robot_code:
logger.error(
"钉钉富文本图片消息解析失败: 回调中缺少 robotCode"
)
continue
f_path = await self.download_ding_file(
download_code,
robot_code,
content["downloadCode"],
cast(str, message.robot_code),
"jpg",
)
if f_path:
abm.message.append(Image.fromFileSystem(f_path))
abm.message_str = "".join(plain_parts).strip()
case "audio" | "voice":
download_code = cast(str, raw_content.get("downloadCode") or "")
if not download_code:
logger.warning("钉钉语音消息缺少 downloadCode,已跳过")
elif not robot_code:
logger.error("钉钉语音消息解析失败: 回调中缺少 robotCode")
else:
voice_ext = cast(str, raw_content.get("fileExtension") or "")
if not voice_ext:
voice_ext = "amr"
voice_ext = voice_ext.lstrip(".")
f_path = await self.download_ding_file(
download_code,
robot_code,
voice_ext,
)
if f_path:
abm.message.append(Record.fromFileSystem(f_path))
case "file":
download_code = cast(str, raw_content.get("downloadCode") or "")
if not download_code:
logger.warning("钉钉文件消息缺少 downloadCode,已跳过")
elif not robot_code:
logger.error("钉钉文件消息解析失败: 回调中缺少 robotCode")
else:
file_name = cast(str, raw_content.get("fileName") or "")
file_ext = Path(file_name).suffix.lstrip(".") if file_name else ""
if not file_ext:
file_ext = cast(str, raw_content.get("fileExtension") or "")
if not file_ext:
file_ext = "file"
f_path = await self.download_ding_file(
download_code,
robot_code,
file_ext,
)
if f_path:
if not file_name:
file_name = Path(f_path).name
abm.message.append(File(name=file_name, file=f_path))
abm.message.append(Image.fromFileSystem(f_path))
case "audio":
pass
await self._remember_sender_binding(message, abm)
return abm # 别忘了返回转换后的消息对象
@@ -351,23 +270,13 @@ class DingtalkPlatformAdapter(Platform):
)
return ""
resp_data = await resp.json()
download_url = cast(
str,
(
resp_data.get("downloadUrl")
or resp_data.get("data", {}).get("downloadUrl")
or ""
),
)
if not download_url:
logger.error(f"下载钉钉文件失败: 未找到 downloadUrl, 响应: {resp_data}")
return ""
download_url = resp_data["data"]["downloadUrl"]
await download_file(download_url, str(f_path))
return str(f_path)
async def get_access_token(self) -> str:
try:
access_token = await asyncio.get_running_loop().run_in_executor(
access_token = await asyncio.get_event_loop().run_in_executor(
None,
self.client_.get_access_token,
)
@@ -632,28 +541,6 @@ class DingtalkPlatformAdapter(Platform):
self._safe_remove_file(cover_path)
if converted_video:
self._safe_remove_file(video_path)
elif isinstance(segment, File):
try:
file_path = await segment.get_file()
if not file_path:
logger.warning("钉钉文件发送失败: 无法解析文件路径")
continue
media_id = await self.upload_media(file_path, "file")
if not media_id:
continue
file_name = segment.name or Path(file_path).name
file_type = Path(file_name).suffix.lstrip(".")
await send_message(
msg_key="sampleFile",
msg_param={
"mediaId": media_id,
"fileName": file_name,
"fileType": file_type,
},
)
except Exception as e:
logger.warning(f"钉钉文件发送失败: {e}")
continue
async def send_message_chain_to_group(
self,
@@ -760,7 +647,7 @@ class DingtalkPlatformAdapter(Platform):
return
logger.error(f"钉钉机器人启动失败: {e}")
loop = asyncio.get_running_loop()
loop = asyncio.get_event_loop()
await loop.run_in_executor(None, start_client, loop)
async def terminate(self) -> None:
@@ -1,416 +0,0 @@
import asyncio
import json
import re
from astrbot import logger
from astrbot.api.event import MessageChain
from astrbot.api.message_components import At, AtAll, Image, Plain
from astrbot.api.platform import (
AstrBotMessage,
MessageMember,
MessageType,
Platform,
PlatformMetadata,
register_platform_adapter,
)
from astrbot.core.message.components import File, Record, Video
from astrbot.core.platform.astr_message_event import MessageSesion
from .kook_client import KookClient
from .kook_config import KookConfig
from .kook_event import KookEvent
from .kook_types import (
ContainerModule,
FileModule,
HeaderModule,
ImageGroupModule,
KmarkdownElement,
KookCardMessageContainer,
KookChannelType,
KookMessageEventData,
KookMessageType,
KookModuleType,
PlainTextElement,
SectionModule,
)
KOOK_AT_SELECTOR_REGEX = re.compile(r"\(met\)([^()]+)\(met\)")
@register_platform_adapter(
"kook",
"KOOK 适配器",
)
class KookPlatformAdapter(Platform):
def __init__(
self, platform_config: dict, platform_settings: dict, event_queue: asyncio.Queue
) -> None:
super().__init__(platform_config, event_queue)
self.kook_config = KookConfig.from_dict(platform_config)
logger.debug(f"[KOOK] 配置: {self.kook_config.pretty_jsons()}")
self.settings = platform_settings
self.client = KookClient(self.kook_config, self._on_received)
self._reconnect_task = None
self.running = False
self._main_task = None
async def send_by_session(
self, session: MessageSesion, message_chain: MessageChain
):
inner_message = AstrBotMessage()
inner_message.session_id = session.session_id
inner_message.type = session.message_type
message_event = KookEvent(
message_str=message_chain.get_plain_text(),
message_obj=inner_message,
platform_meta=self.meta(),
session_id=session.session_id,
client=self.client,
)
await message_event.send(message_chain)
def meta(self) -> PlatformMetadata:
return PlatformMetadata(
name="kook", description="KOOK 适配器", id=self.kook_config.id
)
def _should_ignore_event_by_bot_nickname(self, author_id: str) -> bool:
return self.client.bot_id == author_id
async def _on_received(self, event: KookMessageEventData):
logger.debug(
f'[KOOK] 收到来自"{event.channel_type.name}"渠道的消息, 消息类型为: {event.type.name}({event.type.value})'
)
event_type = event.type
if event_type in (KookMessageType.KMARKDOWN, KookMessageType.CARD):
if self._should_ignore_event_by_bot_nickname(event.author_id):
logger.debug("[KOOK] 收到来自机器人自身的消息, 忽略此消息")
return
try:
abm = await self.convert_message(event)
await self.handle_msg(abm)
except Exception as e:
logger.error(f"[KOOK] 消息处理异常: {e}")
elif event_type == KookMessageType.SYSTEM:
logger.debug(f'[KOOK] 消息为系统通知, 通知类型为: "{event.extra.type}"')
logger.debug(f"[KOOK] 原始消息数据: {event.to_json()}")
async def run(self):
"""主运行循环"""
self.running = True
logger.info("[KOOK] 启动KOOK适配器")
# 启动主循环
self._main_task = asyncio.create_task(self._main_loop())
try:
await self._main_task
except asyncio.CancelledError:
logger.info("[KOOK] 适配器被取消")
except Exception as e:
logger.error(f"[KOOK] 适配器运行异常: {e}")
finally:
self.running = False
await self._cleanup()
async def _main_loop(self):
"""主循环,处理连接和重连"""
consecutive_failures = 0
max_consecutive_failures = self.kook_config.max_consecutive_failures
max_retry_delay = self.kook_config.max_retry_delay
while self.running:
try:
logger.info("[KOOK] 尝试连接KOOK服务器...")
# 尝试连接
success = await self.client.connect()
if success:
logger.info("[KOOK] 连接成功,开始监听消息")
consecutive_failures = 0 # 重置失败计数
# 等待连接结束(可能是正常关闭或异常)
while self.client.running and self.running:
try:
# 等待 client 内部触发 _stop_event,或者超时 1 秒后重试
# 使用 wait_for 配合 timeout 是为了防止极端情况下 self.running 变化没被察觉
await asyncio.wait_for(
self.client.wait_until_closed(), timeout=1.0
)
except asyncio.TimeoutError:
# 正常超时,继续下一轮 while 检查
continue
if self.running:
logger.warning("[KOOK] 连接断开,准备重连")
else:
consecutive_failures += 1
logger.error(
f"[KOOK] 连接失败,连续失败次数: {consecutive_failures}"
)
if consecutive_failures >= max_consecutive_failures:
logger.error("[KOOK] 连续失败次数过多,停止重连")
break
# 等待一段时间后重试
wait_time = min(
2**consecutive_failures, max_retry_delay
) # 指数退避
logger.info(f"[KOOK] 等待 {wait_time} 秒后重试...")
await asyncio.sleep(wait_time)
except Exception as e:
consecutive_failures += 1
logger.error(f"[KOOK] 主循环异常: {e}")
if consecutive_failures >= max_consecutive_failures:
logger.error("[KOOK] 连续异常次数过多,停止重连")
break
await asyncio.sleep(5)
async def _cleanup(self):
"""清理资源"""
logger.info("[KOOK] 开始清理资源")
if self.client:
try:
await self.client.close()
except Exception as e:
logger.error(f"[KOOK] 关闭客户端异常: {e}")
if self._main_task and not self._main_task.done():
self._main_task.cancel()
try:
await self._main_task
except asyncio.CancelledError:
pass
logger.info("[KOOK] 资源清理完成")
def _parse_kmarkdown_text_message(
self, data: KookMessageEventData, self_id: str
) -> tuple[list, str]:
kmarkdown = data.extra.kmarkdown
content = data.content or ""
if kmarkdown is None:
logger.error(
f'[KOOK] 无法转换"{KookMessageType.KMARKDOWN.name}"消息, 消息中找不到kmarkdown字段'
)
logger.error(f"[KOOK] 原始消息内容: {data.to_json()}")
return [], ""
raw_content = kmarkdown.raw_content or content
if not isinstance(content, str):
content = str(content)
if not isinstance(raw_content, str):
raw_content = str(raw_content)
# TODO 后面的pydantic类型替换,以后再来探索吧 :(
mention_name_map: dict[str, str] = {}
mention_part = kmarkdown.mention_part
if isinstance(mention_part, list):
for item in mention_part:
if not isinstance(item, dict):
continue
mention_id = item.get("id")
if mention_id is None:
continue
mention_name_map[str(mention_id)] = str(item.get("username", ""))
components = []
cursor = 0
for match in KOOK_AT_SELECTOR_REGEX.finditer(content):
if match.start() > cursor:
plain_text = content[cursor : match.start()]
if plain_text:
components.append(Plain(text=plain_text))
mention_target = match.group(1).strip()
if mention_target == "all":
components.append(AtAll())
elif mention_target:
components.append(
At(
qq=mention_target,
name=mention_name_map.get(mention_target, ""),
)
)
cursor = match.end()
if cursor < len(content):
tail_text = content[cursor:]
if tail_text:
components.append(Plain(text=tail_text))
message_str = raw_content
if components:
for comp in components:
if isinstance(comp, Plain):
if not comp.text.strip():
continue
break
if isinstance(comp, At):
if str(comp.qq) == str(self_id):
message_str = re.sub(
r"^@[^\s]+(\s*-\s*[^\s]+)?\s*",
"",
message_str,
count=1,
).strip()
break
if not components:
if message_str:
components = [Plain(text=message_str)]
else:
components = []
return components, message_str
def _parse_card_message(self, data: KookMessageEventData) -> tuple[list, str]:
content = data.content
if not isinstance(content, str):
content = str(content)
card_list = KookCardMessageContainer.from_dict(json.loads(content))
text_parts: list[str] = []
images: list[str] = []
files: list[tuple[KookModuleType, str, str]] = []
for card in card_list:
for module in card.modules:
match module:
case SectionModule():
if content := self._handle_section_text(module):
text_parts.append(content)
case ContainerModule() | ImageGroupModule():
urls = self._handle_image_group(module)
images.extend(urls)
text_parts.append(" [image]" * len(urls))
case HeaderModule():
text_parts.append(module.text.content)
case FileModule():
files.append((module.type, module.title, module.src))
text_parts.append(f" [{module.type.value}]")
case _:
logger.debug(f"[KOOK] 跳过或未处理模块: {module.type}")
text = "".join(text_parts)
message = []
if text:
for search in KOOK_AT_SELECTOR_REGEX.finditer(text):
search_text = search.group(1).strip()
if search_text == "all":
message.append(AtAll())
continue
message.append(At(qq=search_text))
text = text.replace(f"(met){search_text}(met)", "")
message.append(Plain(text=text))
for img_url in images:
message.append(Image(file=img_url))
for file in files:
file_type = file[0]
file_name = file[1]
file_url = file[2]
if file_type == KookModuleType.FILE:
message.append(File(name=file_name, file=file_url))
elif file_type == KookModuleType.VIDEO:
message.append(Video(file=file_url))
elif file_type == KookModuleType.AUDIO:
message.append(Record(file=file_url))
else:
logger.warning(f"[KOOK] 跳过未知文件类型: {file_type.name}")
return message, text
def _handle_section_text(self, module: SectionModule) -> str:
"""专门处理 Section 里的文本提取"""
if isinstance(module.text, (KmarkdownElement, PlainTextElement)):
return module.text.content or ""
return ""
def _handle_image_group(
self, module: ContainerModule | ImageGroupModule
) -> list[str]:
"""专门处理图片组/容器里的合法 URL 提取"""
valid_urls = []
for el in module.elements:
image_src = el.src
if not el.src.startswith(("http://", "https://")):
logger.warning(f"[KOOK] 屏蔽非http图片url: {image_src}")
continue
valid_urls.append(el.src)
return valid_urls
async def convert_message(self, data: KookMessageEventData) -> AstrBotMessage:
abm = AstrBotMessage()
abm.raw_message = data.to_dict()
abm.self_id = self.client.bot_id
channel_type = data.channel_type
author_id = data.author_id
# channel_type定义: https://developer.kookapp.cn/doc/event/event-introduction
match channel_type:
case KookChannelType.GROUP:
session_id = data.target_id or "unknown"
abm.type = MessageType.GROUP_MESSAGE
abm.group_id = session_id
abm.session_id = session_id
case KookChannelType.PERSON:
abm.type = MessageType.FRIEND_MESSAGE
abm.group_id = ""
abm.session_id = data.author_id or "unknown"
case KookChannelType.BROADCAST:
session_id = data.target_id or "unknown"
abm.type = MessageType.OTHER_MESSAGE
abm.group_id = session_id
abm.session_id = session_id
case _:
raise ValueError(f"不支持的频道类型: {channel_type}")
abm.sender = MessageMember(
user_id=author_id,
nickname=data.extra.author.username if data.extra.author else "unknown",
)
abm.message_id = data.msg_id or "unknown"
if data.type == KookMessageType.KMARKDOWN:
message, message_str = self._parse_kmarkdown_text_message(data, abm.self_id)
abm.message = message
abm.message_str = message_str
elif data.type == KookMessageType.CARD:
try:
abm.message, abm.message_str = self._parse_card_message(data)
except Exception as exp:
logger.error(f"[KOOK] 卡片消息解析失败: {exp}")
logger.error(f"[KOOK] 原始消息内容: {data.to_json()}")
abm.message_str = "[卡片消息解析失败]"
abm.message = [Plain(text="[卡片消息解析失败]")]
else:
logger.warning(f'[KOOK] 不支持的kook消息类型: "{data.type.name}"')
abm.message_str = "[不支持的消息类型]"
abm.message = [Plain(text="[不支持的消息类型]")]
return abm
async def handle_msg(self, message: AstrBotMessage):
message_event = KookEvent(
message_str=message.message_str,
message_obj=message,
platform_meta=self.meta(),
session_id=message.session_id,
client=self.client,
)
self.commit_event(message_event)
@@ -1,484 +0,0 @@
import asyncio
import base64
import os
import random
import time
import zlib
from pathlib import Path
import aiofiles
import aiohttp
import pydantic
import websockets
from astrbot import logger
from astrbot.core.platform.message_type import MessageType
from .kook_config import KookConfig
from .kook_types import (
KookApiPaths,
KookGatewayIndexResponse,
KookHelloEventData,
KookMessageSignal,
KookMessageType,
KookResumeAckEventData,
KookUserMeResponse,
KookWebsocketEvent,
)
class KookClient:
def __init__(self, config: KookConfig, event_callback):
# 数据字段
self.config = config
self._bot_id = ""
self._bot_username = ""
self._bot_nickname = ""
# 资源字段
self._http_client = aiohttp.ClientSession(
headers={
"Authorization": f"Bot {self.config.token}",
}
)
self.event_callback = event_callback # 回调函数,用于处理接收到的事件
self.ws = None
self.heartbeat_task = None
self._stop_event = asyncio.Event() # 用于通知连接结束
# 状态/计算字段
self.running = False
self.session_id = None
self.last_sn = 0 # 记录最后处理的消息序号
self.last_heartbeat_time = 0
self.heartbeat_failed_count = 0
@property
def bot_id(self):
return self._bot_id
@property
def bot_nickname(self):
return self._bot_nickname
@property
def bot_username(self):
return self._bot_username
async def get_bot_info(self) -> None:
"""获取机器人账号信息"""
url = KookApiPaths.USER_ME
try:
async with self._http_client.get(url) as resp:
if resp.status != 200:
logger.error(
f"[KOOK] 获取机器人账号信息失败,状态码: {resp.status} , {await resp.text()}"
)
return
try:
resp_content = KookUserMeResponse.from_dict(await resp.json())
except pydantic.ValidationError as e:
logger.error(
f"[KOOK] 获取机器人账号信息失败, 响应数据格式错误: \n{e}"
)
logger.error(f"[KOOK] 响应内容: {await resp.text()}")
return
if not resp_content.success():
logger.error(
f"[KOOK] 获取机器人账号信息失败: {resp_content.model_dump_json()}"
)
return
bot_id: str = resp_content.data.id
self._bot_id = bot_id
logger.info(f"[KOOK] 获取机器人账号ID成功: {bot_id}")
self._bot_nickname = resp_content.data.nickname
self._bot_username = resp_content.data.username
logger.info(f"[KOOK] 获取机器人名称成功: {self._bot_nickname}")
except Exception as e:
logger.error(f"[KOOK] 获取机器人账号信息异常: {e}")
async def get_gateway_url(self, resume=False, sn=0, session_id=None) -> str | None:
"""获取网关连接地址"""
url = KookApiPaths.GATEWAY_INDEX
# 构建连接参数
params = {}
if resume:
params["resume"] = 1
params["sn"] = sn
if session_id:
params["session_id"] = session_id
try:
async with self._http_client.get(url, params=params) as resp:
if resp.status != 200:
logger.error(f"[KOOK] 获取gateway失败,状态码: {resp.status}")
return None
resp_content = KookGatewayIndexResponse.from_dict(await resp.json())
if not resp_content.success():
logger.error(f"[KOOK] 获取gateway失败: {resp_content}")
return None
gateway_url: str = resp_content.data.url
logger.info(f"[KOOK] 获取gateway成功: {gateway_url.split('?')[0]}")
return gateway_url
except pydantic.ValidationError as e:
logger.error(f"[KOOK] 获取gateway失败, 响应数据格式错误: \n{e}")
logger.error(f"[KOOK] 原始响应内容: {await resp.text()}")
return None
except Exception as e:
logger.error(f"[KOOK] 获取gateway异常: {e}")
return None
async def connect(self, resume=False):
"""连接WebSocket"""
if self.ws:
try:
await self.ws.close()
except Exception:
pass
self.ws = None
self._stop_event.clear()
try:
# 获取gateway地址
gateway_url = await self.get_gateway_url(
resume=resume, sn=self.last_sn, session_id=self.session_id
)
await self.get_bot_info()
if not gateway_url:
return False
# 连接WebSocket
self.ws = await websockets.connect(gateway_url)
self.running = True
logger.info("[KOOK] WebSocket 连接成功")
# 启动心跳任务
if self.heartbeat_task:
self.heartbeat_task.cancel()
self.heartbeat_task = asyncio.create_task(self._heartbeat_loop())
# 开始监听消息
await self.listen()
return True
except Exception as e:
logger.error(f"[KOOK] WebSocket 连接失败: {e}")
if self.ws:
try:
await self.ws.close()
except Exception:
pass
self.ws = None
return False
async def listen(self):
"""监听WebSocket消息"""
try:
while self.running:
try:
if self.ws is None:
logger.error("[KOOK] WebSocket 对象丢失,结束监听流程。")
break
msg = await asyncio.wait_for(self.ws.recv(), timeout=10)
if isinstance(msg, bytes):
try:
msg = zlib.decompress(msg)
except Exception as e:
logger.error(f"[KOOK] 解压消息失败: {e}")
continue
msg = msg.decode("utf-8")
event = KookWebsocketEvent.from_json(msg)
# 处理不同类型的信令
await self._handle_signal(event)
except pydantic.ValidationError as e:
logger.error(f"[KOOK] 解析WebSocket事件数据格式失败: \n{e}")
logger.error(f"[KOOK] 原始响应内容: {msg}")
continue
except asyncio.TimeoutError:
# 超时检查,继续循环
continue
except websockets.exceptions.ConnectionClosed:
logger.warning("[KOOK] WebSocket连接已关闭")
break
except Exception as e:
logger.error(f"[KOOK] 消息处理异常: {e}")
break
except Exception as e:
logger.error(f"[KOOK] WebSocket 监听异常: {e}")
finally:
self.running = False
self._stop_event.set()
async def _handle_signal(self, event: KookWebsocketEvent):
"""处理不同类型的信令"""
data = event.data
match event.signal:
case KookMessageSignal.MESSAGE:
if event.sn is not None:
self.last_sn = event.sn
await self.event_callback(data)
case KookMessageSignal.HELLO:
assert isinstance(data, KookHelloEventData)
await self._handle_hello(data)
case KookMessageSignal.RESUME_ACK:
assert isinstance(data, KookResumeAckEventData)
await self._handle_resume_ack(data)
case KookMessageSignal.PONG:
await self._handle_pong()
case KookMessageSignal.RECONNECT:
await self._handle_reconnect()
case _:
logger.debug(
f"[KOOK] 未处理的信令类型: {event.signal.name}({event.signal.value})"
)
async def _handle_hello(self, data: KookHelloEventData):
"""处理HELLO握手"""
code = data.code
if code == 0:
self.session_id = data.session_id
logger.info(f"[KOOK] 握手成功,session_id: {self.session_id}")
# TODO 重置重连延迟
# self.reconnect_delay = 1
else:
logger.error(f"[KOOK] 握手失败,错误码: {code}")
if code == 40103: # token过期
logger.error("[KOOK] Token已过期,需要重新获取")
self.running = False
async def _handle_pong(self):
"""处理PONG心跳响应"""
self.last_heartbeat_time = time.time()
self.heartbeat_failed_count = 0
async def _handle_reconnect(self):
"""处理重连指令"""
logger.warning("[KOOK] 收到重连指令")
# 清空本地状态
self.last_sn = 0
self.session_id = None
self.running = False
async def _handle_resume_ack(self, data: KookResumeAckEventData):
"""处理RESUME确认"""
self.session_id = data.session_id
logger.info(f"[KOOK] Resume成功,session_id: {self.session_id}")
async def _heartbeat_loop(self):
"""心跳循环"""
while self.running:
try:
# 随机化心跳间隔 (±5秒)
interval = max(
1, self.config.heartbeat_interval + random.randint(-5, 5)
)
await asyncio.sleep(interval)
if not self.running:
break
# 发送心跳
await self._send_ping()
# 等待PONG响应
await asyncio.sleep(self.config.heartbeat_timeout)
# 检查是否收到PONG响应
if (
time.time() - self.last_heartbeat_time
> self.config.heartbeat_timeout
):
self.heartbeat_failed_count += 1
logger.warning(
f"[KOOK] 心跳超时,失败次数: {self.heartbeat_failed_count}"
)
if (
self.heartbeat_failed_count
>= self.config.max_heartbeat_failures
):
logger.error("[KOOK] 心跳失败次数过多,准备重连")
self.running = False
break
except asyncio.CancelledError:
break
except Exception as e:
logger.error(f"[KOOK] 心跳异常: {e}")
self.heartbeat_failed_count += 1
async def _send_ping(self):
"""发送心跳PING"""
if self.ws is None:
logger.warning("[KOOK] 尚未连接kook WebSocket服务器, 跳过发送心跳包流程")
return
try:
ping_data = KookWebsocketEvent(
signal=KookMessageSignal.PING,
data=None,
sn=self.last_sn,
)
await self.ws.send(ping_data.to_json())
except Exception as e:
logger.error(f"[KOOK] 发送心跳失败: {e}")
async def send_text(
self,
target_id: str,
content: str,
astrbot_message_type: MessageType,
kook_message_type: KookMessageType,
reply_message_id: str | int = "",
):
"""发送文本消息
消息发送接口文档参见: https://developer.kookapp.cn/doc/http/message#%E5%8F%91%E9%80%81%E9%A2%91%E9%81%93%E8%81%8A%E5%A4%A9%E6%B6%88%E6%81%AF
KMarkdown格式参见: https://developer.kookapp.cn/doc/kmarkdown-desc
"""
url = KookApiPaths.CHANNEL_MESSAGE_CREATE
if astrbot_message_type == MessageType.FRIEND_MESSAGE:
url = KookApiPaths.DIRECT_MESSAGE_CREATE
payload = {
"target_id": target_id,
"content": content,
"type": kook_message_type,
}
if reply_message_id:
payload["quote"] = reply_message_id
payload["reply_msg_id"] = reply_message_id
try:
async with self._http_client.post(url, json=payload) as resp:
if resp.status == 200:
result = await resp.json()
if result.get("code") != 0:
raise RuntimeError(
f'发送kook消息类型 "{kook_message_type.name}" 失败: {result}'
)
# else:
# logger.info("[KOOK] 发送消息成功")
else:
raise RuntimeError(
f'发送kook消息类型 "{kook_message_type.name}" HTTP错误: {resp.status} , 响应内容 : {await resp.text()}'
)
except RuntimeError:
raise
except Exception as e:
logger.error(
f'[KOOK] 发送kook消息类型 "{kook_message_type.name}" 异常: {e}'
)
async def upload_asset(self, file_url: str | None) -> str:
"""上传文件到kook,获得远端资源url
接口定义参见: https://developer.kookapp.cn/doc/http/asset
"""
if not file_url:
return ""
bytes_data: bytes | None = None
filename = "unknown"
if file_url.startswith(("http://", "https://")):
filename = file_url.split("/")[-1]
return file_url
if file_url.startswith("base64:///"):
# b64decode的时候得开头留一个'/'的, 不然会报错
b64_str = file_url.removeprefix("base64://")
bytes_data = base64.b64decode(b64_str)
elif file_url.startswith("file://") or os.path.exists(file_url):
file_url = file_url.removeprefix("file:///")
file_url = file_url.removeprefix("file://")
try:
target_path = Path(file_url).resolve()
except Exception as exp:
logger.error(f'[KOOK] 获取文件 "{file_url}" 绝对路径失败: "{exp}"')
raise FileNotFoundError(
f'获取文件 "{file_url}" 绝对路径失败: "{exp}"'
) from exp
if not target_path.is_file():
raise FileNotFoundError(f"文件不存在: {target_path.name}")
filename = target_path.name
async with aiofiles.open(target_path, "rb") as f:
bytes_data = await f.read()
else:
raise ValueError(f'[KOOK] 不支持的文件资源类型: "{file_url}"')
data = aiohttp.FormData()
data.add_field("file", bytes_data, filename=filename)
url = KookApiPaths.ASSET_CREATE
try:
async with self._http_client.post(url, data=data) as resp:
if resp.status == 200:
result: dict = await resp.json()
logger.debug(f"[KOOK] 上传文件响应: {result}")
if result.get("code") == 0:
logger.info("[KOOK] 上传文件到kook服务器成功")
remote_url = result["data"]["url"]
logger.debug(f"[KOOK] 文件远端URL: {remote_url}")
return remote_url
else:
raise RuntimeError(f"上传文件到kook服务器失败: {result}")
else:
raise RuntimeError(
f"上传文件到kook服务器 HTTP错误: {resp.status} , {await resp.text()}"
)
except RuntimeError:
raise
except Exception as e:
raise RuntimeError(f"上传文件到kook服务器异常: {e}") from e
async def wait_until_closed(self):
"""提供给外部调用的等待方法"""
await self._stop_event.wait()
async def close(self):
"""关闭连接"""
self.running = False
self._stop_event.set()
if self.heartbeat_task:
self.heartbeat_task.cancel()
try:
await self.heartbeat_task
except asyncio.CancelledError:
pass
if self.ws:
try:
await self.ws.close()
except Exception as e:
logger.error(f"[KOOK] 关闭WebSocket异常: {e}")
if self._http_client:
await self._http_client.close()
logger.info("[KOOK] 连接已关闭")
@@ -1,131 +0,0 @@
import json
from dataclasses import asdict, dataclass
from typing import Any
@dataclass
class KookConfig:
"""KOOK 适配器配置类"""
# 基础配置
token: str
enable: bool = False
id: str = "kook"
# 重连配置
reconnect_delay: int = 1
"""重连延迟基数(秒),指数退避"""
max_reconnect_delay: int = 60
"""最大重连延迟(秒)"""
max_retry_delay: int = 60
"""最大重试延迟(秒)"""
# 心跳配置
heartbeat_interval: int = 30
"""心跳间隔(秒)"""
heartbeat_timeout: int = 6
"""心跳超时时间(秒)"""
max_heartbeat_failures: int = 3
"""最大心跳失败次数"""
# 失败处理
max_consecutive_failures: int = 5
"""最大连续失败次数"""
@classmethod
def from_dict(cls, config_dict: dict) -> "KookConfig":
"""从字典创建配置对象"""
return cls(
# 适配器id 应该是不能改的
# id=config_dict.get("id", "kook"),
enable=config_dict.get("enable", False),
token=config_dict.get("kook_bot_token", ""),
reconnect_delay=config_dict.get(
"kook_reconnect_delay",
KookConfig.reconnect_delay,
),
max_reconnect_delay=config_dict.get(
"kook_max_reconnect_delay",
KookConfig.max_reconnect_delay,
),
max_retry_delay=config_dict.get(
"kook_max_retry_delay",
KookConfig.max_retry_delay,
),
heartbeat_interval=config_dict.get(
"kook_heartbeat_interval",
KookConfig.heartbeat_interval,
),
heartbeat_timeout=config_dict.get(
"kook_heartbeat_timeout",
KookConfig.heartbeat_timeout,
),
max_heartbeat_failures=config_dict.get(
"kook_max_heartbeat_failures",
KookConfig.max_heartbeat_failures,
),
max_consecutive_failures=config_dict.get(
"kook_max_consecutive_failures",
KookConfig.max_consecutive_failures,
),
)
def to_dict(self) -> dict[str, Any]:
return asdict(self)
def pretty_jsons(self, indent=2) -> str:
dict_config = self.to_dict()
dict_config["token"] = "*" * len(self.token) if self.token else "MISSING"
return json.dumps(dict_config, indent=indent, ensure_ascii=False)
# TODO 没用上的config配置,未来有空会实现这些配置描述的功能?
# # 连接配置
# CONNECTION_CONFIG = {
# # 心跳配置
# "heartbeat_interval": 30, # 心跳间隔(秒)
# "heartbeat_timeout": 6, # 心跳超时时间(秒)
# "max_heartbeat_failures": 3, # 最大心跳失败次数
# # 重连配置
# "initial_reconnect_delay": 1, # 初始重连延迟(秒)
# "max_reconnect_delay": 60, # 最大重连延迟(秒)
# "max_consecutive_failures": 5, # 最大连续失败次数
# # WebSocket配置
# "websocket_timeout": 10, # WebSocket接收超时(秒)
# "connection_timeout": 30, # 连接超时(秒)
# # 消息处理配置
# "enable_compression": True, # 是否启用消息压缩
# "max_message_size": 1024 * 1024, # 最大消息大小(字节)
# }
# # 日志配置
# LOGGING_CONFIG = {
# "level": "INFO", # 日志级别:DEBUG, INFO, WARNING, ERROR
# "format": "[KOOK] %(message)s",
# "enable_heartbeat_logs": False, # 是否启用心跳日志
# "enable_message_logs": False, # 是否启用消息日志
# }
# # 错误处理配置
# ERROR_HANDLING_CONFIG = {
# "retry_on_network_error": True, # 网络错误时是否重试
# "retry_on_token_expired": True, # Token过期时是否重试
# "max_retry_attempts": 3, # 最大重试次数
# "retry_delay_base": 2, # 重试延迟基数(秒)
# }
# # 性能配置
# PERFORMANCE_CONFIG = {
# "enable_message_buffering": True, # 是否启用消息缓冲
# "buffer_size": 100, # 缓冲区大小
# "enable_connection_pooling": True, # 是否启用连接池
# "max_concurrent_requests": 10, # 最大并发请求数
# }
# # 安全配置
# SECURITY_CONFIG = {
# "verify_ssl": True, # 是否验证SSL证书
# "enable_rate_limiting": True, # 是否启用速率限制
# "rate_limit_requests": 100, # 速率限制请求数
# "rate_limit_window": 60, # 速率限制窗口(秒)
# }
@@ -1,210 +0,0 @@
import asyncio
import json
from collections.abc import Coroutine
from pathlib import Path
from typing import Any
from astrbot import logger
from astrbot.api.event import AstrMessageEvent, MessageChain
from astrbot.api.platform import AstrBotMessage, PlatformMetadata
from astrbot.core.message.components import (
At,
AtAll,
BaseMessageComponent,
File,
Image,
Json,
Plain,
Record,
Reply,
Video,
)
from astrbot.core.platform import MessageType
from .kook_client import KookClient
from .kook_types import (
FileModule,
KookCardMessage,
KookCardMessageContainer,
KookMessageType,
KookModuleType,
OrderMessage,
)
class KookEvent(AstrMessageEvent):
def __init__(
self,
message_str: str,
message_obj: AstrBotMessage,
platform_meta: PlatformMetadata,
session_id: str,
client: KookClient,
):
super().__init__(message_str, message_obj, platform_meta, session_id)
self.client = client
self.channel_id = message_obj.group_id or message_obj.session_id
self.astrbot_message_type: MessageType = message_obj.type
self._file_message_counter = 0
def _wrap_message(
self, index: int, message_component: BaseMessageComponent
) -> Coroutine[Any, Any, OrderMessage]:
async def wrap_upload(
index: int, message_type: KookMessageType, upload_coro
) -> OrderMessage:
url = await upload_coro
return OrderMessage(index=index, text=url, type=message_type)
async def handle_plain(
index: int,
text: str | None,
reply_id: str | int = "",
type: KookMessageType = KookMessageType.KMARKDOWN,
):
if not text:
text = ""
return OrderMessage(
index=index,
text=text,
type=type,
reply_id=reply_id,
)
match message_component:
case Image():
self._file_message_counter += 1
return wrap_upload(
index,
KookMessageType.IMAGE,
self.client.upload_asset(message_component.file),
)
case Video():
self._file_message_counter += 1
return wrap_upload(
index,
KookMessageType.VIDEO,
self.client.upload_asset(message_component.file),
)
case File():
async def handle_file(index: int, f_item: File):
f_data = await f_item.get_file()
url = await self.client.upload_asset(f_data)
return OrderMessage(
index=index, text=url, type=KookMessageType.FILE
)
self._file_message_counter += 1
return handle_file(index, message_component)
case Record():
async def handle_audio(index: int, f_item: Record):
file_path = await f_item.convert_to_file_path()
url = await self.client.upload_asset(file_path)
title = f_item.text or Path(file_path).name
return OrderMessage(
index=index,
text=KookCardMessageContainer(
[
KookCardMessage(
modules=[
FileModule(
type=KookModuleType.AUDIO,
title=title,
src=url,
)
]
)
]
).to_json(),
type=KookMessageType.CARD,
)
return handle_audio(index, message_component)
case Plain():
return handle_plain(index, message_component.text)
case At():
return handle_plain(index, f"(met){message_component.qq}(met)")
case AtAll():
return handle_plain(index, "(met)all(met)")
case Reply():
return handle_plain(index, "", reply_id=message_component.id)
case Json():
json_data = message_component.data
# kook卡片json外层得是一个列表
if isinstance(json_data, dict):
json_data = [json_data]
return handle_plain(
index,
# 考虑到kook可能会更改消息结构,为了能让插件开发者
# 自行根据kook文档描述填卡片json内容,故不做模型校验
# KookCardMessage().model_validate(message_component.data).to_json(),
text=json.dumps(json_data),
type=KookMessageType.CARD,
)
case _:
raise NotImplementedError(
f'kook适配器尚未实现对 "{message_component.type}" 消息类型的支持'
)
async def send(self, message: MessageChain):
file_upload_tasks: list[Coroutine[Any, Any, OrderMessage]] = []
for index, item in enumerate(message.chain):
file_upload_tasks.append(self._wrap_message(index, item))
if self._file_message_counter > 0:
logger.debug("[Kook] 正在向kook服务器上传文件")
tasks_result = await asyncio.gather(*file_upload_tasks, return_exceptions=True)
order_messages: list[OrderMessage] = []
for index, result in enumerate(tasks_result):
if isinstance(result, BaseException):
logger.error(f"[Kook] {result}")
# 构造一个虚假的 OrderMessage,让用户知道这里本来有张图但坏了
# 这样后面的 for 循环就能把它当成普通文本发出去
err_node = OrderMessage(
index=index,
text=str(result),
type=KookMessageType.TEXT,
)
order_messages.append(err_node)
else:
order_messages.append(result)
order_messages.sort(key=lambda x: x.index)
reply_id: str | int = ""
errors: list[Exception] = []
for item in order_messages:
if item.reply_id:
reply_id = item.reply_id
if not item.text:
logger.debug(f'[Kook] 跳过空消息,类型为"{item.type.name}"')
continue
try:
await self.client.send_text(
self.channel_id,
item.text,
self.astrbot_message_type,
item.type,
reply_id,
)
except RuntimeError as exp:
await self.client.send_text(
self.channel_id,
str(exp),
self.astrbot_message_type,
KookMessageType.TEXT,
reply_id,
)
errors.append(exp)
if errors:
err_msg = "\n".join([str(err) for err in errors])
logger.error(f"[kook] {err_msg}")
await super().send(message)
@@ -1,505 +0,0 @@
import json
from enum import IntEnum, StrEnum
from typing import Annotated, Any, Literal
from pydantic import BaseModel, ConfigDict, Field, model_validator
class KookApiPaths:
"""Kook Api 路径"""
BASE_URL = "https://www.kookapp.cn"
API_VERSION_PATH = "/api/v3"
# 初始化相关
USER_ME = f"{BASE_URL}{API_VERSION_PATH}/user/me"
GATEWAY_INDEX = f"{BASE_URL}{API_VERSION_PATH}/gateway/index"
# 消息相关
ASSET_CREATE = f"{BASE_URL}{API_VERSION_PATH}/asset/create"
## 频道消息
CHANNEL_MESSAGE_CREATE = f"{BASE_URL}{API_VERSION_PATH}/message/create"
## 私聊消息
DIRECT_MESSAGE_CREATE = f"{BASE_URL}{API_VERSION_PATH}/direct-message/create"
class KookMessageType(IntEnum):
"""定义参见kook事件结构文档: https://developer.kookapp.cn/doc/event/event-introduction"""
TEXT = 1
IMAGE = 2
VIDEO = 3
FILE = 4
AUDIO = 8
KMARKDOWN = 9
CARD = 10
SYSTEM = 255
class KookModuleType(StrEnum):
PLAIN_TEXT = "plain-text"
KMARKDOWN = "kmarkdown"
IMAGE = "image"
BUTTON = "button"
HEADER = "header"
SECTION = "section"
IMAGE_GROUP = "image-group"
CONTAINER = "container"
ACTION_GROUP = "action-group"
CONTEXT = "context"
DIVIDER = "divider"
FILE = "file"
AUDIO = "audio"
VIDEO = "video"
COUNTDOWN = "countdown"
INVITE = "invite"
CARD = "card"
ThemeType = Literal[
"primary", "success", "danger", "warning", "info", "secondary", "none", "invisible"
]
"""主题,可选的值为:primary, success, danger, warning, info, secondary, none.默认为 primary,为 none 时不显示侧边框。"""
SizeType = Literal["xs", "sm", "md", "lg"]
"""大小,可选值为:xs, sm, md, lg, 一般默认为 lg"""
SectionMode = Literal["left", "right"]
CountdownMode = Literal["day", "hour", "second"]
class KookBaseDataClass(BaseModel):
model_config = ConfigDict(
extra="allow",
arbitrary_types_allowed=True,
populate_by_name=True,
)
@classmethod
def from_dict(cls, raw_data: dict):
return cls.model_validate(raw_data)
@classmethod
def from_json(cls, raw_data: str | bytes | bytearray):
return cls.model_validate_json(raw_data)
def to_dict(
self,
mode: Literal["json", "python"] | str = "python",
by_alias=True,
exclude_none=True,
exclude_unset=False,
) -> dict:
return self.model_dump(
by_alias=by_alias,
exclude_none=exclude_none,
mode=mode,
exclude_unset=exclude_unset,
)
def to_json(
self,
indent: int | None = None,
ensure_ascii=False,
by_alias=True,
exclude_none=True,
exclude_unset=False,
) -> str:
return self.model_dump_json(
indent=indent,
ensure_ascii=ensure_ascii,
by_alias=by_alias,
exclude_none=exclude_none,
exclude_unset=exclude_unset,
)
class KookCardModelBase(KookBaseDataClass):
"""卡片模块基类"""
type: str
class PlainTextElement(KookCardModelBase):
content: str
type: Literal[KookModuleType.PLAIN_TEXT] = KookModuleType.PLAIN_TEXT
emoji: bool = True
class KmarkdownElement(KookCardModelBase):
content: str
type: Literal[KookModuleType.KMARKDOWN] = KookModuleType.KMARKDOWN
class ImageElement(KookCardModelBase):
src: str
type: Literal[KookModuleType.IMAGE] = KookModuleType.IMAGE
alt: str = ""
size: SizeType = "lg"
circle: bool = False
fallbackUrl: str | None = None
class ButtonElement(KookCardModelBase):
text: str
type: Literal[KookModuleType.BUTTON] = KookModuleType.BUTTON
theme: ThemeType = "primary"
value: str = ""
"""当为 link 时,会跳转到 value 代表的链接;
当为 return-val 系统会通过系统消息将消息 id,点击用户 id value 发回给发送者发送者可以根据自己的需求进行处理,消息事件参见button 点击事件私聊和频道内均可使用按钮点击事件"""
click: Literal["", "link", "return-val"] = ""
"""click 代表用户点击的事件,默认为"",代表无任何事件。"""
AnyElement = PlainTextElement | KmarkdownElement | ImageElement | ButtonElement | str
class ParagraphStructure(KookCardModelBase):
fields: list[PlainTextElement | KmarkdownElement]
type: Literal["paragraph"] = "paragraph"
cols: int = 1
"""范围是 1-3 , 移动端忽略此参数"""
class HeaderModule(KookCardModelBase):
text: PlainTextElement
type: Literal[KookModuleType.HEADER] = KookModuleType.HEADER
class SectionModule(KookCardModelBase):
text: PlainTextElement | KmarkdownElement | ParagraphStructure
type: Literal[KookModuleType.SECTION] = KookModuleType.SECTION
mode: SectionMode = "left"
accessory: ImageElement | ButtonElement | None = None
class ImageGroupModule(KookCardModelBase):
"""1 到多张图片的组合"""
elements: list[ImageElement]
type: Literal[KookModuleType.IMAGE_GROUP] = KookModuleType.IMAGE_GROUP
class ContainerModule(KookCardModelBase):
"""1 到多张图片的组合,与图片组模块(ImageGroupModule)不同,图片并不会裁切为正方形。多张图片会纵向排列。"""
elements: list[ImageElement]
type: Literal[KookModuleType.CONTAINER] = KookModuleType.CONTAINER
class ActionGroupModule(KookCardModelBase):
"""用来放按钮的模块"""
elements: list[ButtonElement]
type: Literal[KookModuleType.ACTION_GROUP] = KookModuleType.ACTION_GROUP
class ContextModule(KookCardModelBase):
elements: list[PlainTextElement | KmarkdownElement | ImageElement]
"""最多包含10个元素"""
type: Literal[KookModuleType.CONTEXT] = KookModuleType.CONTEXT
class DividerModule(KookCardModelBase):
"""展示分割线用的"""
type: Literal[KookModuleType.DIVIDER] = KookModuleType.DIVIDER
class FileModule(KookCardModelBase):
src: str
title: str = ""
type: Literal[KookModuleType.FILE, KookModuleType.AUDIO, KookModuleType.VIDEO] = (
KookModuleType.FILE
)
cover: str | None = None
"""cover 仅音频有效, 是音频的封面图"""
class CountdownModule(KookCardModelBase):
"""startTime 和 endTime 为毫秒时间戳,startTime 和 endTime 不能小于服务器当前时间戳。"""
endTime: int
"""毫秒时间戳"""
type: Literal[KookModuleType.COUNTDOWN] = KookModuleType.COUNTDOWN
startTime: int | None = None
"""毫秒时间戳, 仅当mode为second才有这个字段"""
mode: CountdownMode = "day"
"""mode 主要是倒计时的样式"""
class InviteModule(KookCardModelBase):
code: str
"""邀请链接或者邀请码"""
type: Literal[KookModuleType.INVITE] = KookModuleType.INVITE
# 所有模块的联合类型
AnyModule = Annotated[
HeaderModule
| SectionModule
| ImageGroupModule
| ContainerModule
| ActionGroupModule
| ContextModule
| DividerModule
| FileModule
| CountdownModule
| InviteModule,
Field(discriminator="type"),
]
class KookCardMessage(KookBaseDataClass):
"""卡片定义文档详见 : https://developer.kookapp.cn/doc/cardmessage
此类型不能直接to_json后发送,因为kook要求卡片容器json顶层必须是**列表**
若要发送卡片消息请使用KookCardMessageContainer
"""
model_config = ConfigDict(arbitrary_types_allowed=True)
type: Literal[KookModuleType.CARD] = KookModuleType.CARD
theme: ThemeType | None = None
size: SizeType | None = None
color: str | None = None
"""16 进制色值"""
modules: list[AnyModule] = Field(default_factory=list)
"""单个 card 模块数量不限制,但是一条消息中所有卡片的模块数量之和最多是 50"""
def add_module(self, module: AnyModule):
self.modules.append(module)
class KookCardMessageContainer(list[KookCardMessage]):
"""卡片消息容器(列表),此类型可以直接to_json后发送出去"""
def append(self, object: KookCardMessage) -> None:
return super().append(object)
def to_json(self, indent: int | None = None, ensure_ascii: bool = True) -> str:
return json.dumps(
[i.to_dict() for i in self], indent=indent, ensure_ascii=ensure_ascii
)
@classmethod
def from_dict(cls, raw_data: list[dict[str, Any]]):
return cls(KookCardMessage.from_dict(item) for item in raw_data)
class OrderMessage(BaseModel):
index: int
text: str
type: KookMessageType
reply_id: str | int = ""
class KookMessageSignal(IntEnum):
"""KOOK WebSocket 信令类型
ws文档: https://developer.kookapp.cn/doc/websocket""" # noqa: W291
MESSAGE = 0
"""server->client 消息(s包含聊天和通知消息)"""
HELLO = 1
"""server->client 客户端连接 ws 时, 服务端返回握手结果"""
PING = 2
"""client->server 心跳,ping"""
PONG = 3
"""server->client 心跳,pong"""
RESUME = 4
"""client->server resume, 恢复会话"""
RECONNECT = 5
"""server->client reconnect, 要求客户端断开当前连接重新连接"""
RESUME_ACK = 6
"""server->client resume ack"""
class KookChannelType(StrEnum):
GROUP = "GROUP"
PERSON = "PERSON"
BROADCAST = "BROADCAST"
class KookAuthor(KookBaseDataClass):
id: str
username: str
identify_num: str
nickname: str
bot: bool
online: bool
avatar: str | None = None
vip_avatar: str | None = None
status: int
roles: list[int] = Field(default_factory=list)
class KookKMarkdown(KookBaseDataClass):
raw_content: str
mention_part: list[Any] = Field(default_factory=list)
mention_role_part: list[Any] = Field(default_factory=list)
class KookExtra(KookBaseDataClass):
type: int | str
code: str | None = None
body: dict[str, Any] | None = None
author: KookAuthor | None = None
kmarkdown: KookKMarkdown | None = None
last_msg_content: str | None = None
mention: list[str] = Field(default_factory=list)
mention_all: bool = False
mention_here: bool = False
class KookMessageEventData(KookBaseDataClass):
signal: Literal[KookMessageSignal.MESSAGE] = Field(
KookMessageSignal.MESSAGE, exclude=True
)
"""only for type hint"""
channel_type: KookChannelType
type: KookMessageType
target_id: str
author_id: str
content: str | dict[str, Any]
msg_id: str
msg_timestamp: int
nonce: str
from_type: int
extra: KookExtra
class KookHelloEventData(KookBaseDataClass):
signal: Literal[KookMessageSignal.HELLO] = Field(
KookMessageSignal.HELLO, exclude=True
)
"""only for type hint"""
code: int
session_id: str
class KookPingEventData(KookBaseDataClass):
signal: Literal[KookMessageSignal.PING] = Field(
KookMessageSignal.PING, exclude=True
)
"""only for type hint"""
class KookPongEventData(KookBaseDataClass):
signal: Literal[KookMessageSignal.PONG] = Field(
KookMessageSignal.PONG, exclude=True
)
"""only for type hint"""
class KookResumeEventData(KookBaseDataClass):
signal: Literal[KookMessageSignal.RESUME] = Field(
KookMessageSignal.RESUME, exclude=True
)
"""only for type hint"""
class KookReconnectEventData(KookBaseDataClass):
signal: Literal[KookMessageSignal.RECONNECT] = Field(
KookMessageSignal.RECONNECT, exclude=True
)
"""only for type hint"""
code: int
err: str
class KookResumeAckEventData(KookBaseDataClass):
signal: Literal[KookMessageSignal.RESUME_ACK] = Field(
KookMessageSignal.RESUME_ACK, exclude=True
)
"""only for type hint"""
session_id: str
class KookWebsocketEvent(KookBaseDataClass):
"""KOOK WebSocket 原始推送结构"""
signal: KookMessageSignal = Field(
..., validation_alias="s", serialization_alias="s"
)
"""信令类型"""
data: Annotated[
KookMessageEventData
| KookHelloEventData
| KookPingEventData
| KookPongEventData
| KookResumeEventData
| KookReconnectEventData
| KookResumeAckEventData
| None,
Field(discriminator="signal"),
] = Field(None, validation_alias="d", serialization_alias="d")
"""数据事件主体,对应原字段是'd'"""
sn: int | None = None
"""消息序号 , 用来确定消息顺序和ws重连时使用
详见ws连接流程文档: https://developer.kookapp.cn/doc/websocket#%E8%BF%9E%E6%8E%A5%E6%B5%81%E7%A8%8B""" # noqa: W291
@model_validator(mode="before")
@classmethod
def _inject_signal_into_data(cls, data: Any) -> Any:
"""在解析前,把外层的 s 同步到内层的 d 中,供 discriminator 使用"""
if isinstance(data, dict):
s_value = data.get("s")
d_value = data.get("d")
if s_value is not None and isinstance(d_value, dict):
d_value["signal"] = s_value
return data
class KookUserTag(KookBaseDataClass):
color: str
bg_color: str
text: str
class KookApiResponseBase(KookBaseDataClass):
code: int
message: str
data: Any
def success(self) -> bool:
return self.code == 0
class KookUserMeData(KookBaseDataClass):
"""USER_ME 接口返回的 'data' 字段主体"""
id: str
username: str
identify_num: str
nickname: str
bot: bool
online: bool
status: int
bot_status: int
avatar: str
vip_avatar: str | None = None
banner: str | None = None
roles: list[Any] = Field(default_factory=list)
is_vip: bool
vip_amp: bool
wealth_level: int
mobile_verified: bool
client_id: str
tag_info: KookUserTag | None = None
class KookUserMeResponse(KookApiResponseBase):
"""USER_ME 完整响应结构"""
data: KookUserMeData
class KookGatewayIndexData(KookBaseDataClass):
url: str
class KookGatewayIndexResponse(KookApiResponseBase):
"""USER_ME 完整响应结构"""
data: KookGatewayIndexData
@@ -34,7 +34,7 @@ from .server import LarkWebhookServer
@register_platform_adapter(
"lark", "飞书机器人官方 API 适配器", support_streaming_message=True
"lark", "飞书机器人官方 API 适配器", support_streaming_message=False
)
class LarkPlatformAdapter(Platform):
def __init__(
@@ -491,7 +491,7 @@ class LarkPlatformAdapter(Platform):
name="lark",
description="飞书机器人官方 API 适配器",
id=cast(str, self.config.get("id")),
support_streaming_message=True,
support_streaming_message=False,
)
async def convert_msg(self, event: lark.im.v1.P2ImMessageReceiveV1) -> None:
@@ -1,4 +1,3 @@
import asyncio
import base64
import json
import os
@@ -6,14 +5,6 @@ import uuid
from io import BytesIO
import lark_oapi as lark
from lark_oapi.api.cardkit.v1 import (
ContentCardElementRequest,
ContentCardElementRequestBody,
CreateCardRequest,
CreateCardRequestBody,
SettingsCardRequest,
SettingsCardRequestBody,
)
from lark_oapi.api.im.v1 import (
CreateFileRequest,
CreateFileRequestBody,
@@ -37,7 +28,6 @@ from astrbot.core.utils.media_utils import (
convert_video_format,
get_media_duration,
)
from astrbot.core.utils.metrics import Metric
class LarkMessageEvent(AstrMessageEvent):
@@ -565,257 +555,15 @@ class LarkMessageEvent(AstrMessageEvent):
logger.error(f"发送飞书表情回应失败({response.code}): {response.msg}")
return
async def _create_streaming_card(self) -> str | None:
"""创建一个开启流式更新模式的卡片实体,返回 card_id。"""
if self.bot.cardkit is None:
logger.error("[Lark] API Client cardkit 模块未初始化")
return None
card_json = {
"schema": "2.0",
"header": {
"title": {"content": "", "tag": "plain_text"},
},
"config": {
"streaming_mode": True,
"summary": {"content": ""},
"streaming_config": {
"print_frequency_ms": {"default": 50},
"print_step": {"default": 2},
"print_strategy": "fast",
},
},
"body": {
"elements": [
{
"tag": "markdown",
"content": "",
"element_id": "markdown_1",
}
]
},
}
request = (
CreateCardRequest.builder()
.request_body(
CreateCardRequestBody.builder()
.type("card_json")
.data(json.dumps(card_json, ensure_ascii=False))
.build()
)
.build()
)
try:
response = await self.bot.cardkit.v1.card.acreate(request)
except Exception as e:
logger.error(f"[Lark] 创建流式卡片实体失败: {e}")
return None
if not response.success():
logger.error(
f"[Lark] 创建流式卡片实体失败({response.code}): {response.msg}"
)
return None
if response.data is None or not response.data.card_id:
logger.error("[Lark] 创建流式卡片实体成功但未返回 card_id")
return None
card_id = response.data.card_id
logger.debug(f"[Lark] 创建流式卡片实体成功: {card_id}")
return card_id
async def _send_card_message(
self,
card_id: str,
reply_message_id: str | None = None,
receive_id: str | None = None,
receive_id_type: str | None = None,
) -> bool:
"""将卡片实体作为 interactive 消息发送。"""
content = json.dumps(
{"type": "card", "data": {"card_id": card_id}},
ensure_ascii=False,
)
return await self._send_im_message(
self.bot,
content=content,
msg_type="interactive",
reply_message_id=reply_message_id,
receive_id=receive_id,
receive_id_type=receive_id_type,
)
async def _update_streaming_text(
self,
card_id: str,
content: str,
sequence: int,
) -> bool:
"""调用 CardKit 流式更新文本接口,向 markdown_1 组件推送全量文本。"""
if self.bot.cardkit is None:
logger.error("[Lark] API Client cardkit 模块未初始化")
return False
request = (
ContentCardElementRequest.builder()
.card_id(card_id)
.element_id("markdown_1")
.request_body(
ContentCardElementRequestBody.builder()
.content(content)
.sequence(sequence)
.uuid(str(uuid.uuid4()))
.build()
)
.build()
)
try:
response = await self.bot.cardkit.v1.card_element.acontent(request)
except Exception as e:
logger.debug(f"[Lark] 流式更新文本失败 (ignored): {e}")
return False
if not response.success():
logger.debug(f"[Lark] 流式更新文本失败({response.code}): {response.msg}")
return False
return True
async def _close_streaming_mode(
self,
card_id: str,
sequence: int,
) -> None:
"""关闭卡片的流式更新模式,使其可正常转发、摘要恢复。"""
if self.bot.cardkit is None:
logger.error("[Lark] API Client cardkit 模块未初始化")
return
settings_json = json.dumps(
{"config": {"streaming_mode": False}},
ensure_ascii=False,
)
request = (
SettingsCardRequest.builder()
.card_id(card_id)
.request_body(
SettingsCardRequestBody.builder()
.settings(settings_json)
.sequence(sequence)
.uuid(str(uuid.uuid4()))
.build()
)
.build()
)
try:
response = await self.bot.cardkit.v1.card.asettings(request)
except Exception as e:
logger.error(f"[Lark] 关闭流式模式失败: {e}")
return
if not response.success():
logger.error(f"[Lark] 关闭流式模式失败({response.code}): {response.msg}")
else:
logger.debug(f"[Lark] 流式模式已关闭: {card_id}")
async def _fallback_send_streaming(self, generator, use_fallback: bool = False):
"""回退到非流式发送:缓冲全部文本后一次性发送,并保留父类副作用。"""
async def send_streaming(self, generator, use_fallback: bool = False):
buffer = None
async for chain in generator:
if not buffer:
buffer = chain
else:
buffer.chain.extend(chain.chain)
if buffer:
buffer.squash_plain()
await self.send(buffer)
await Metric.upload(msg_event_tick=1, adapter_name=self.platform_meta.name)
self._has_send_oper = True
async def send_streaming(self, generator, use_fallback: bool = False):
"""使用 CardKit 流式卡片实现打字机效果。
流程创建卡片实体 发送消息 流式更新文本 关闭流式模式
使用解耦发送循环LLM token 到达时只更新 buffer 并唤醒发送协程
发送频率由网络 RTT 自然限流
"""
# Step 1: 创建流式卡片实体
card_id = await self._create_streaming_card()
if not card_id:
logger.warning("[Lark] 无法创建流式卡片,回退到非流式发送")
await self._fallback_send_streaming(generator, use_fallback)
return
# Step 2: 发送卡片消息
sent = await self._send_card_message(
card_id,
reply_message_id=self.message_obj.message_id,
)
if not sent:
logger.error("[Lark] 发送流式卡片消息失败,回退到非流式发送")
await self._fallback_send_streaming(generator, use_fallback)
return
logger.info("[Lark] 流式输出: 使用 CardKit 流式卡片")
# Step 3: 解耦发送循环 (Event-driven, 参考 Telegram Draft 路径)
sequence = 0
delta = ""
last_sent = ""
done = False
text_changed = asyncio.Event()
async def _sender_loop() -> None:
"""信号驱动的文本发送循环,有新内容就发,RTT 自然限流。"""
nonlocal sequence, last_sent
while not done:
await text_changed.wait()
text_changed.clear()
snapshot = delta
if snapshot and snapshot != last_sent:
sequence += 1
ok = await self._update_streaming_text(card_id, snapshot, sequence)
if ok:
last_sent = snapshot
if delta != snapshot:
text_changed.set()
sender_task = asyncio.create_task(_sender_loop())
try:
async for chain in generator:
if not isinstance(chain, MessageChain):
continue
if chain.type == "break":
# 飞书卡片不支持分段,忽略 break
continue
for comp in chain.chain:
if isinstance(comp, Plain):
delta += comp.text
text_changed.set()
finally:
done = True
text_changed.set()
await sender_task
# Step 4: 必要时补发最终文本 + 关闭流式模式
if delta and delta != last_sent:
sequence += 1
await self._update_streaming_text(card_id, delta, sequence)
sequence += 1
await self._close_streaming_mode(card_id, sequence)
# Step 5: 内联父类 send_streaming 的副作用
await Metric.upload(msg_event_tick=1, adapter_name=self.platform_meta.name)
self._has_send_oper = True
if not buffer:
return None
buffer.squash_plain()
await self.send(buffer)
return await super().send_streaming(generator, use_fallback)
@@ -104,7 +104,7 @@ class LineMessageEvent(AstrMessageEvent):
@staticmethod
async def _resolve_image_url(segment: Image) -> str:
candidate = (segment.url or segment.file or "").strip()
if candidate.startswith("https://"):
if candidate.startswith("http://") or candidate.startswith("https://"):
return candidate
try:
return await segment.register_to_file_service()
@@ -115,7 +115,7 @@ class LineMessageEvent(AstrMessageEvent):
@staticmethod
async def _resolve_record_url(segment: Record) -> str:
candidate = (segment.url or segment.file or "").strip()
if candidate.startswith("https://"):
if candidate.startswith("http://") or candidate.startswith("https://"):
return candidate
try:
return await segment.register_to_file_service()
@@ -137,7 +137,7 @@ class LineMessageEvent(AstrMessageEvent):
@staticmethod
async def _resolve_video_url(segment: Video) -> str:
candidate = (segment.file or "").strip()
if candidate.startswith("https://"):
if candidate.startswith("http://") or candidate.startswith("https://"):
return candidate
try:
return await segment.register_to_file_service()
@@ -148,7 +148,9 @@ class LineMessageEvent(AstrMessageEvent):
@staticmethod
async def _resolve_video_preview_url(segment: Video) -> str:
cover_candidate = (segment.cover or "").strip()
if cover_candidate.startswith("https://"):
if cover_candidate.startswith("http://") or cover_candidate.startswith(
"https://"
):
return cover_candidate
if cover_candidate:
@@ -189,7 +191,7 @@ class LineMessageEvent(AstrMessageEvent):
@staticmethod
async def _resolve_file_url(segment: File) -> str:
if segment.url and segment.url.startswith("https://"):
if segment.url and segment.url.startswith(("http://", "https://")):
return segment.url
try:
return await segment.register_to_file_service()
@@ -18,7 +18,7 @@ from botpy.types.message import MarkdownPayload, Media
from astrbot.api import logger
from astrbot.api.event import AstrMessageEvent, MessageChain
from astrbot.api.message_components import File, Image, Plain, Record, Video
from astrbot.api.message_components import Image, Plain, Record
from astrbot.api.platform import AstrBotMessage, PlatformMetadata
from astrbot.core.utils.astrbot_path import get_astrbot_temp_path
from astrbot.core.utils.io import download_image_by_url, file_to_base64
@@ -47,11 +47,6 @@ _patch_qq_botpy_formdata()
class QQOfficialMessageEvent(AstrMessageEvent):
MARKDOWN_NOT_ALLOWED_ERROR = "不允许发送原生 markdown"
IMAGE_FILE_TYPE = 1
VIDEO_FILE_TYPE = 2
VOICE_FILE_TYPE = 3
FILE_FILE_TYPE = 4
STREAM_MARKDOWN_NEWLINE_ERROR = "流式消息md分片需要\\n结束"
def __init__(
self,
@@ -70,71 +65,35 @@ class QQOfficialMessageEvent(AstrMessageEvent):
await self._post_send()
async def send_streaming(self, generator, use_fallback: bool = False):
"""流式输出仅支持消息列表私聊C2C),其他消息源退化为普通发送"""
# 先标记事件层“已执行发送操作”,避免异常路径遗漏
await super().send_streaming(generator, use_fallback)
# QQ C2C 流式协议:开始/中间分片使用 state=1,结束分片使用 state=10
"""流式输出仅支持消息列表私聊"""
stream_payload = {"state": 1, "id": None, "index": 0, "reset": False}
last_edit_time = 0 # 上次发送分片的时间
throttle_interval = 1 # 分片间最短间隔 (秒)
last_edit_time = 0 # 上次编辑消息的时间
throttle_interval = 1 # 编辑消息的间隔时间 (秒)
ret = None
source = (
self.message_obj.raw_message
) # 提前获取,避免 generator 为空时 NameError
try:
async for chain in generator:
source = self.message_obj.raw_message
if not isinstance(source, botpy.message.C2CMessage):
# 非 C2C 场景:直接累积,最后统一发
if not self.send_buffer:
self.send_buffer = chain
else:
self.send_buffer.chain.extend(chain.chain)
continue
# ---- C2C 流式场景 ----
# tool_call break 信号:工具开始执行,先把已有 buffer 以 state=10 结束当前流式段
if chain.type == "break":
if self.send_buffer:
stream_payload["state"] = 10
ret = await self._post_send(stream=stream_payload)
ret_id = self._extract_response_message_id(ret)
if ret_id is not None:
stream_payload["id"] = ret_id
# 重置 stream_payload,为下一段流式做准备
stream_payload = {
"state": 1,
"id": None,
"index": 0,
"reset": False,
}
last_edit_time = 0
continue
# 累积内容
if not self.send_buffer:
self.send_buffer = chain
else:
self.send_buffer.chain.extend(chain.chain)
# 节流:按时间间隔发送中间分片
current_time = asyncio.get_running_loop().time()
if current_time - last_edit_time >= throttle_interval:
ret = cast(
message.Message,
await self._post_send(stream=stream_payload),
)
stream_payload["index"] += 1
ret_id = self._extract_response_message_id(ret)
if ret_id is not None:
stream_payload["id"] = ret_id
last_edit_time = asyncio.get_running_loop().time()
self.send_buffer = None # 清空已发送的分片,避免下次重复发送旧内容
if isinstance(source, botpy.message.C2CMessage):
# 真流式传输
current_time = asyncio.get_event_loop().time()
time_since_last_edit = current_time - last_edit_time
if time_since_last_edit >= throttle_interval:
ret = cast(
message.Message,
await self._post_send(stream=stream_payload),
)
stream_payload["index"] += 1
stream_payload["id"] = ret["id"]
last_edit_time = asyncio.get_event_loop().time()
if isinstance(source, botpy.message.C2CMessage):
# 结束流式对话,发送 buffer 中剩余内容
# 结束流式对话,并且传输 buffer 中剩余的消息
stream_payload["state"] = 10
ret = await self._post_send(stream=stream_payload)
else:
@@ -142,22 +101,9 @@ class QQOfficialMessageEvent(AstrMessageEvent):
except Exception as e:
logger.error(f"发送流式消息时出错: {e}", exc_info=True)
# 避免累计内容在异常后被整包重复发送:仅清理缓存,不做非流式整包兜底
# 如需兜底,应该只发送未发送 delta(后续可继续优化)
self.send_buffer = None
return None
@staticmethod
def _extract_response_message_id(ret) -> str | None:
"""兼容 qq-botpy 返回 Message 对象或 dict 两种形态。"""
if ret is None:
return None
if isinstance(ret, dict):
ret_id = ret.get("id")
return str(ret_id) if ret_id is not None else None
ret_id = getattr(ret, "id", None)
return str(ret_id) if ret_id is not None else None
return await super().send_streaming(generator, use_fallback)
async def _post_send(self, stream: dict | None = None):
if not self.send_buffer:
@@ -180,37 +126,16 @@ class QQOfficialMessageEvent(AstrMessageEvent):
image_base64,
image_path,
record_file_path,
video_file_source,
file_source,
file_name,
) = await QQOfficialMessageEvent._parse_to_qqofficial(self.send_buffer)
# C2C 流式仅用于文本分片,富媒体时降级为普通发送,避免平台侧流式校验报错。
if stream and (image_base64 or record_file_path):
logger.debug("[QQOfficial] 检测到富媒体,降级为非流式发送。")
stream = None
if (
not plain_text
and not image_base64
and not image_path
and not record_file_path
and not video_file_source
and not file_source
):
return None
# QQ C2C 流式 API 说明:
# - 开始/中间分片(state=1):增量追加内容,不需要 \n(加了会导致强制换行)
# - 最终分片(state=10):结束流,content 必须以 \n 结尾(QQ API 要求)
if (
stream
and stream.get("state") == 10
and plain_text
and not plain_text.endswith("\n")
):
plain_text = plain_text + "\n"
payload: dict = {
# "content": plain_text,
"markdown": MarkdownPayload(content=plain_text) if plain_text else None,
@@ -232,7 +157,7 @@ class QQOfficialMessageEvent(AstrMessageEvent):
if image_base64:
media = await self.upload_group_and_c2c_image(
image_base64,
self.IMAGE_FILE_TYPE,
1,
group_openid=source.group_openid,
)
payload["media"] = media
@@ -240,39 +165,15 @@ class QQOfficialMessageEvent(AstrMessageEvent):
payload.pop("markdown", None)
payload["content"] = plain_text or None
if record_file_path: # group record msg
media = await self.upload_group_and_c2c_media(
media = await self.upload_group_and_c2c_record(
record_file_path,
self.VOICE_FILE_TYPE,
3,
group_openid=source.group_openid,
)
if media:
payload["media"] = media
payload["msg_type"] = 7
payload.pop("markdown", None)
payload["content"] = plain_text or None
if video_file_source:
media = await self.upload_group_and_c2c_media(
video_file_source,
self.VIDEO_FILE_TYPE,
group_openid=source.group_openid,
)
if media:
payload["media"] = media
payload["msg_type"] = 7
payload.pop("markdown", None)
payload["content"] = plain_text or None
if file_source:
media = await self.upload_group_and_c2c_media(
file_source,
self.FILE_FILE_TYPE,
file_name=file_name,
group_openid=source.group_openid,
)
if media:
payload["media"] = media
payload["msg_type"] = 7
payload.pop("markdown", None)
payload["content"] = plain_text or None
payload["media"] = media
payload["msg_type"] = 7
payload.pop("markdown", None)
payload["content"] = plain_text or None
ret = await self._send_with_markdown_fallback(
send_func=lambda retry_payload: self.bot.api.post_group_message(
group_openid=source.group_openid, # type: ignore
@@ -280,14 +181,13 @@ class QQOfficialMessageEvent(AstrMessageEvent):
),
payload=payload,
plain_text=plain_text,
stream=stream,
)
case botpy.message.C2CMessage():
if image_base64:
media = await self.upload_group_and_c2c_image(
image_base64,
self.IMAGE_FILE_TYPE,
1,
openid=source.author.user_openid,
)
payload["media"] = media
@@ -295,39 +195,15 @@ class QQOfficialMessageEvent(AstrMessageEvent):
payload.pop("markdown", None)
payload["content"] = plain_text or None
if record_file_path: # c2c record
media = await self.upload_group_and_c2c_media(
media = await self.upload_group_and_c2c_record(
record_file_path,
self.VOICE_FILE_TYPE,
3,
openid=source.author.user_openid,
)
if media:
payload["media"] = media
payload["msg_type"] = 7
payload.pop("markdown", None)
payload["content"] = plain_text or None
if video_file_source:
media = await self.upload_group_and_c2c_media(
video_file_source,
self.VIDEO_FILE_TYPE,
openid=source.author.user_openid,
)
if media:
payload["media"] = media
payload["msg_type"] = 7
payload.pop("markdown", None)
payload["content"] = plain_text or None
if file_source:
media = await self.upload_group_and_c2c_media(
file_source,
self.FILE_FILE_TYPE,
file_name=file_name,
openid=source.author.user_openid,
)
if media:
payload["media"] = media
payload["msg_type"] = 7
payload.pop("markdown", None)
payload["content"] = plain_text or None
payload["media"] = media
payload["msg_type"] = 7
payload.pop("markdown", None)
payload["content"] = plain_text or None
if stream:
ret = await self._send_with_markdown_fallback(
send_func=lambda retry_payload: self.post_c2c_message(
@@ -337,7 +213,6 @@ class QQOfficialMessageEvent(AstrMessageEvent):
),
payload=payload,
plain_text=plain_text,
stream=stream,
)
else:
ret = await self._send_with_markdown_fallback(
@@ -347,7 +222,6 @@ class QQOfficialMessageEvent(AstrMessageEvent):
),
payload=payload,
plain_text=plain_text,
stream=stream,
)
logger.debug(f"Message sent to C2C: {ret}")
@@ -363,7 +237,6 @@ class QQOfficialMessageEvent(AstrMessageEvent):
),
payload=payload,
plain_text=plain_text,
stream=stream,
)
case botpy.message.DirectMessage():
@@ -378,7 +251,6 @@ class QQOfficialMessageEvent(AstrMessageEvent):
),
payload=payload,
plain_text=plain_text,
stream=stream,
)
case _:
@@ -395,31 +267,10 @@ class QQOfficialMessageEvent(AstrMessageEvent):
send_func,
payload: dict,
plain_text: str,
stream: dict | None = None,
):
try:
return await send_func(payload)
except botpy.errors.ServerError as err:
# QQ 流式 markdown 分片校验:内容必须以换行结尾。
# 某些边界场景服务端仍可能判定失败,这里做一次修正重试。
if stream and self.STREAM_MARKDOWN_NEWLINE_ERROR in str(err):
retry_payload = payload.copy()
markdown_payload = retry_payload.get("markdown")
if isinstance(markdown_payload, dict):
md_content = cast(str, markdown_payload.get("content", "") or "")
if md_content and not md_content.endswith("\n"):
retry_payload["markdown"] = {"content": md_content + "\n"}
content = cast(str | None, retry_payload.get("content"))
if content and not content.endswith("\n"):
retry_payload["content"] = content + "\n"
logger.warning(
"[QQOfficial] 流式 markdown 分片换行校验失败,已修正后重试一次。"
)
return await send_func(retry_payload)
if (
self.MARKDOWN_NOT_ALLOWED_ERROR not in str(err)
or not payload.get("markdown")
@@ -431,14 +282,10 @@ class QQOfficialMessageEvent(AstrMessageEvent):
"[QQOfficial] markdown 发送被拒绝,回退到 content 模式重试。"
)
fallback_payload = payload.copy()
fallback_payload.pop("markdown", None)
fallback_payload["markdown"] = None
fallback_payload["content"] = plain_text
if fallback_payload.get("msg_type") == 2:
fallback_payload["msg_type"] = 0
if stream:
fallback_content = cast(str, fallback_payload.get("content") or "")
if fallback_content and not fallback_content.endswith("\n"):
fallback_payload["content"] = fallback_content + "\n"
return await send_func(fallback_payload)
async def upload_group_and_c2c_image(
@@ -480,19 +327,16 @@ class QQOfficialMessageEvent(AstrMessageEvent):
ttl=result.get("ttl", 0),
)
async def upload_group_and_c2c_media(
async def upload_group_and_c2c_record(
self,
file_source: str,
file_type: int,
srv_send_msg: bool = False,
file_name: str | None = None,
**kwargs,
) -> Media | None:
"""上传媒体文件"""
# 构建基础payload
payload = {"file_type": file_type, "srv_send_msg": srv_send_msg}
if file_name:
payload["file_name"] = file_name
# 处理文件数据
if os.path.exists(file_source):
@@ -556,21 +400,13 @@ class QQOfficialMessageEvent(AstrMessageEvent):
) -> message.Message:
payload = locals()
payload.pop("self", None)
# QQ API does not accept stream.id=None; remove it when not yet assigned
if "stream" in payload and payload["stream"] is not None:
stream_data = dict(payload["stream"])
if stream_data.get("id") is None:
stream_data.pop("id", None)
payload["stream"] = stream_data
route = Route("POST", "/v2/users/{openid}/messages", openid=openid)
result = await self.bot.api._http.request(route, json=payload)
if result is None:
logger.warning("[QQOfficial] post_c2c_message: API 返回 None,跳过本次发送")
return None
if not isinstance(result, dict):
logger.error(f"[QQOfficial] post_c2c_message: 响应不是 dict: {result}")
return None
raise RuntimeError(
f"Failed to post c2c message, response is not dict: {result}"
)
return message.Message(**result)
@@ -580,9 +416,6 @@ class QQOfficialMessageEvent(AstrMessageEvent):
image_base64 = None # only one img supported
image_file_path = None
record_file_path = None
video_file_source = None
file_source = None
file_name = None
for i in message.chain:
if isinstance(i, Plain):
plain_text += i.text
@@ -621,30 +454,6 @@ class QQOfficialMessageEvent(AstrMessageEvent):
except Exception as e:
logger.error(f"处理语音时出错: {e}")
record_file_path = None
elif isinstance(i, Video) and not video_file_source:
if i.file.startswith("file:///"):
video_file_source = i.file[8:]
else:
video_file_source = i.file
elif isinstance(i, File) and not file_source:
file_name = i.name
if i.file_:
file_path = i.file_
if file_path.startswith("file:///"):
file_path = file_path[8:]
elif file_path.startswith("file://"):
file_path = file_path[7:]
file_source = file_path
elif i.url:
file_source = i.url
else:
logger.debug(f"qq_official 忽略 {i.type}")
return (
plain_text,
image_base64,
image_file_path,
record_file_path,
video_file_source,
file_source,
file_name,
)
return plain_text, image_base64, image_file_path, record_file_path
@@ -3,10 +3,8 @@ from __future__ import annotations
import asyncio
import logging
import os
import random
import time
from types import SimpleNamespace
from typing import Any, cast
from typing import cast
import botpy
import botpy.message
@@ -14,7 +12,7 @@ from botpy import Client
from astrbot import logger
from astrbot.api.event import MessageChain
from astrbot.api.message_components import At, File, Image, Plain, Record, Video
from astrbot.api.message_components import At, File, Image, Plain
from astrbot.api.platform import (
AstrBotMessage,
MessageMember,
@@ -48,7 +46,6 @@ class botClient(Client):
)
abm.group_id = cast(str, message.group_openid)
abm.session_id = abm.group_id
self.platform.remember_session_scene(abm.session_id, "group")
self._commit(abm)
# 收到频道消息
@@ -59,7 +56,6 @@ class botClient(Client):
)
abm.group_id = message.channel_id
abm.session_id = abm.group_id
self.platform.remember_session_scene(abm.session_id, "channel")
self._commit(abm)
# 收到私聊消息
@@ -71,7 +67,6 @@ class botClient(Client):
MessageType.FRIEND_MESSAGE,
)
abm.session_id = abm.sender.user_id
self.platform.remember_session_scene(abm.session_id, "friend")
self._commit(abm)
# 收到 C2C 消息
@@ -81,11 +76,9 @@ class botClient(Client):
MessageType.FRIEND_MESSAGE,
)
abm.session_id = abm.sender.user_id
self.platform.remember_session_scene(abm.session_id, "friend")
self._commit(abm)
def _commit(self, abm: AstrBotMessage) -> None:
self.platform.remember_session_message_id(abm.session_id, abm.message_id)
self.platform.commit_event(
QQOfficialMessageEvent(
abm.message_str,
@@ -131,9 +124,6 @@ class QQOfficialPlatformAdapter(Platform):
self.client.set_platform(self)
self._session_last_message_id: dict[str, str] = {}
self._session_scene: dict[str, str] = {}
self.test_mode = os.environ.get("TEST_MODE", "off") == "on"
async def send_by_session(
@@ -141,191 +131,14 @@ class QQOfficialPlatformAdapter(Platform):
session: MessageSesion,
message_chain: MessageChain,
) -> None:
await self._send_by_session_common(session, message_chain)
async def _send_by_session_common(
self,
session: MessageSesion,
message_chain: MessageChain,
) -> None:
(
plain_text,
image_base64,
image_path,
record_file_path,
video_file_source,
file_source,
file_name,
) = await QQOfficialMessageEvent._parse_to_qqofficial(message_chain)
if (
not plain_text
and not image_path
and not image_base64
and not record_file_path
and not video_file_source
and not file_source
):
return
msg_id = self._session_last_message_id.get(session.session_id)
if not msg_id:
logger.warning(
"[QQOfficial] No cached msg_id for session: %s, skip send_by_session",
session.session_id,
)
return
payload: dict[str, Any] = {"content": plain_text, "msg_id": msg_id}
ret: Any = None
send_helper = SimpleNamespace(bot=self.client)
if session.message_type == MessageType.GROUP_MESSAGE:
scene = self._session_scene.get(session.session_id)
if scene == "group":
payload["msg_seq"] = random.randint(1, 10000)
if image_base64:
media = await QQOfficialMessageEvent.upload_group_and_c2c_image(
send_helper, # type: ignore
image_base64,
QQOfficialMessageEvent.IMAGE_FILE_TYPE,
group_openid=session.session_id,
)
payload["media"] = media
payload["msg_type"] = 7
if record_file_path:
media = await QQOfficialMessageEvent.upload_group_and_c2c_media(
send_helper, # type: ignore
record_file_path,
QQOfficialMessageEvent.VOICE_FILE_TYPE,
group_openid=session.session_id,
)
if media:
payload["media"] = media
payload["msg_type"] = 7
if video_file_source:
media = await QQOfficialMessageEvent.upload_group_and_c2c_media(
send_helper, # type: ignore
video_file_source,
QQOfficialMessageEvent.VIDEO_FILE_TYPE,
group_openid=session.session_id,
)
if media:
payload["media"] = media
payload["msg_type"] = 7
payload.pop("msg_id", None)
if file_source:
media = await QQOfficialMessageEvent.upload_group_and_c2c_media(
send_helper, # type: ignore
file_source,
QQOfficialMessageEvent.FILE_FILE_TYPE,
file_name=file_name,
group_openid=session.session_id,
)
if media:
payload["media"] = media
payload["msg_type"] = 7
payload.pop("msg_id", None)
ret = await self.client.api.post_group_message(
group_openid=session.session_id,
**payload,
)
else:
if image_path:
payload["file_image"] = image_path
ret = await self.client.api.post_message(
channel_id=session.session_id,
**payload,
)
elif session.message_type == MessageType.FRIEND_MESSAGE:
payload["msg_seq"] = random.randint(1, 10000)
if image_base64:
media = await QQOfficialMessageEvent.upload_group_and_c2c_image(
send_helper, # type: ignore
image_base64,
QQOfficialMessageEvent.IMAGE_FILE_TYPE,
openid=session.session_id,
)
payload["media"] = media
payload["msg_type"] = 7
if record_file_path:
media = await QQOfficialMessageEvent.upload_group_and_c2c_media(
send_helper, # type: ignore
record_file_path,
QQOfficialMessageEvent.VOICE_FILE_TYPE,
openid=session.session_id,
)
if media:
payload["media"] = media
payload["msg_type"] = 7
if video_file_source:
media = await QQOfficialMessageEvent.upload_group_and_c2c_media(
send_helper, # type: ignore
video_file_source,
QQOfficialMessageEvent.VIDEO_FILE_TYPE,
openid=session.session_id,
)
if media:
payload["media"] = media
payload["msg_type"] = 7
# QQ API rejects msg_id for media (video/file) messages sent
# via the proactive tool-call path; remove it to avoid 越权 error.
payload.pop("msg_id", None)
if file_source:
media = await QQOfficialMessageEvent.upload_group_and_c2c_media(
send_helper, # type: ignore
file_source,
QQOfficialMessageEvent.FILE_FILE_TYPE,
file_name=file_name,
openid=session.session_id,
)
if media:
payload["media"] = media
payload["msg_type"] = 7
payload.pop("msg_id", None)
ret = await QQOfficialMessageEvent.post_c2c_message(
send_helper, # type: ignore
openid=session.session_id,
**payload,
)
else:
logger.warning(
"[QQOfficial] Unsupported message type for send_by_session: %s",
session.message_type,
)
return
sent_message_id = self._extract_message_id(ret)
if sent_message_id:
self.remember_session_message_id(session.session_id, sent_message_id)
await super().send_by_session(session, message_chain)
def remember_session_message_id(self, session_id: str, message_id: str) -> None:
if not session_id or not message_id:
return
self._session_last_message_id[session_id] = message_id
def remember_session_scene(self, session_id: str, scene: str) -> None:
if not session_id or not scene:
return
self._session_scene[session_id] = scene
def _extract_message_id(self, ret: Any) -> str | None:
if isinstance(ret, dict):
message_id = ret.get("id")
return str(message_id) if message_id else None
message_id = getattr(ret, "id", None)
if message_id:
return str(message_id)
return None
raise NotImplementedError("QQ 机器人官方 API 适配器不支持 send_by_session")
def meta(self) -> PlatformMetadata:
return PlatformMetadata(
name="qq_official",
description="QQ 机器人官方 API 适配器",
id=cast(str, self.config.get("id")),
support_proactive_message=True,
support_proactive_message=False,
)
@staticmethod
@@ -345,10 +158,7 @@ class QQOfficialPlatformAdapter(Platform):
return
for attachment in attachments:
content_type = cast(
str,
getattr(attachment, "content_type", "") or "",
).lower()
content_type = cast(str, getattr(attachment, "content_type", "") or "")
url = QQOfficialPlatformAdapter._normalize_attachment_url(
cast(str | None, getattr(attachment, "url", None))
)
@@ -364,73 +174,7 @@ class QQOfficialPlatformAdapter(Platform):
or getattr(attachment, "name", None)
or "attachment",
)
ext = os.path.splitext(filename)[1].lower()
image_exts = {".jpg", ".jpeg", ".png", ".gif", ".webp", ".bmp"}
audio_exts = {
".mp3",
".wav",
".ogg",
".m4a",
".amr",
".silk",
}
video_exts = {
".mp4",
".mov",
".avi",
".mkv",
".webm",
}
if content_type.startswith("audio") or ext in audio_exts:
msg.append(Record.fromURL(url))
elif content_type.startswith("video") or ext in video_exts:
msg.append(Video.fromURL(url))
elif content_type.startswith("image") or ext in image_exts:
msg.append(Image.fromURL(url))
else:
msg.append(File(name=filename, file=url, url=url))
@staticmethod
def _parse_face_message(content: str) -> str:
"""Parse QQ official face message format and convert to readable text.
QQ official face message format:
<faceType=4,faceId="",ext="eyJ0ZXh0IjoiW+a7oeWktOmXruWPt10ifQ==">
The ext field contains base64-encoded JSON with a 'text' field
describing the emoji (e.g., '[满头问号]').
Args:
content: The message content that may contain face tags.
Returns:
Content with face tags replaced by readable emoji descriptions.
"""
import base64
import json
import re
def replace_face(match):
face_tag = match.group(0)
# Extract ext field from the face tag
ext_match = re.search(r'ext="([^"]*)"', face_tag)
if ext_match:
try:
ext_encoded = ext_match.group(1)
# Decode base64 and parse JSON
ext_decoded = base64.b64decode(ext_encoded).decode("utf-8")
ext_data = json.loads(ext_decoded)
emoji_text = ext_data.get("text", "")
if emoji_text:
return f"[表情:{emoji_text}]"
except Exception:
pass
# Fallback if parsing fails
return "[表情]"
# Match face tags: <faceType=...>
return re.sub(r"<faceType=\d+[^>]*>", replace_face, content)
msg.append(File(name=filename, file=url, url=url))
@staticmethod
def _parse_from_qqofficial(
@@ -457,10 +201,7 @@ class QQOfficialPlatformAdapter(Platform):
abm.group_id = message.group_openid
else:
abm.sender = MessageMember(message.author.user_openid, "")
# Parse face messages to readable text
abm.message_str = QQOfficialPlatformAdapter._parse_face_message(
message.content.strip()
)
abm.message_str = message.content.strip()
abm.self_id = "unknown_selfid"
msg.append(At(qq="qq_official"))
msg.append(Plain(abm.message_str))
@@ -476,12 +217,10 @@ class QQOfficialPlatformAdapter(Platform):
else:
abm.self_id = ""
plain_content = QQOfficialPlatformAdapter._parse_face_message(
message.content.replace(
"<@!" + str(abm.self_id) + ">",
"",
).strip()
)
plain_content = message.content.replace(
"<@!" + str(abm.self_id) + ">",
"",
).strip()
QQOfficialPlatformAdapter._append_attachments(msg, message.attachments)
abm.message = msg
@@ -1,5 +1,7 @@
import asyncio
import logging
import random
from types import SimpleNamespace
from typing import Any, cast
import botpy
@@ -13,6 +15,7 @@ from astrbot.core.platform.astr_message_event import MessageSesion
from astrbot.core.utils.webhook_utils import log_webhook_info
from ...register import register_platform_adapter
from ..qqofficial.qqofficial_message_event import QQOfficialMessageEvent
from ..qqofficial.qqofficial_platform_adapter import QQOfficialPlatformAdapter
from .qo_webhook_event import QQOfficialWebhookMessageEvent
from .qo_webhook_server import QQOfficialWebhook
@@ -120,11 +123,95 @@ class QQOfficialWebhookPlatformAdapter(Platform):
session: MessageSesion,
message_chain: MessageChain,
) -> None:
await QQOfficialPlatformAdapter._send_by_session_common(
cast(Any, self),
session,
message_chain,
)
(
plain_text,
image_base64,
image_path,
record_file_path,
) = await QQOfficialMessageEvent._parse_to_qqofficial(message_chain)
if not plain_text and not image_path:
return
msg_id = self._session_last_message_id.get(session.session_id)
if not msg_id:
logger.warning(
"[QQOfficialWebhook] No cached msg_id for session: %s, skip send_by_session",
session.session_id,
)
return
payload: dict[str, Any] = {"content": plain_text, "msg_id": msg_id}
ret: Any = None
send_helper = SimpleNamespace(bot=self.client)
if session.message_type == MessageType.GROUP_MESSAGE:
scene = self._session_scene.get(session.session_id)
if scene == "group":
payload["msg_seq"] = random.randint(1, 10000)
if image_base64:
media = await QQOfficialMessageEvent.upload_group_and_c2c_image(
send_helper, # type: ignore
image_base64,
1,
group_openid=session.session_id,
)
payload["media"] = media
payload["msg_type"] = 7
if record_file_path:
media = await QQOfficialMessageEvent.upload_group_and_c2c_record(
send_helper, # type: ignore
record_file_path,
3,
group_openid=session.session_id,
)
payload["media"] = media
payload["msg_type"] = 7
ret = await self.client.api.post_group_message(
group_openid=session.session_id,
**payload,
)
else:
if image_path:
payload["file_image"] = image_path
ret = await self.client.api.post_message(
channel_id=session.session_id,
**payload,
)
elif session.message_type == MessageType.FRIEND_MESSAGE:
payload["msg_seq"] = random.randint(1, 10000)
if image_base64:
media = await QQOfficialMessageEvent.upload_group_and_c2c_image(
send_helper, # type: ignore
image_base64,
1,
openid=session.session_id,
)
payload["media"] = media
payload["msg_type"] = 7
if record_file_path:
media = await QQOfficialMessageEvent.upload_group_and_c2c_record(
send_helper, # type: ignore
record_file_path,
3,
openid=session.session_id,
)
payload["media"] = media
payload["msg_type"] = 7
ret = await QQOfficialMessageEvent.post_c2c_message(
send_helper, # type: ignore
openid=session.session_id,
**payload,
)
else:
logger.warning(
"[QQOfficialWebhook] Unsupported message type for send_by_session: %s",
session.message_type,
)
return
sent_message_id = self._extract_message_id(ret)
if sent_message_id:
self.remember_session_message_id(session.session_id, sent_message_id)
await super().send_by_session(session, message_chain)
def remember_session_message_id(self, session_id: str, message_id: str) -> None:
if not session_id or not message_id:
@@ -1,6 +1,5 @@
import asyncio
import logging
import time
from typing import cast
import quart
@@ -40,9 +39,6 @@ class QQOfficialWebhook:
self.client = botpy_client
self.event_queue = event_queue
self.shutdown_event = asyncio.Event()
# Deduplication cache for webhook retry callbacks.
self._seen_event_ids: dict[str, float] = {}
self._dedup_ttl: int = 60 # seconds
async def initialize(self) -> None:
logger.info("正在登录到 QQ 官方机器人...")
@@ -59,7 +55,7 @@ class QQOfficialWebhook:
max_async=1,
connect=bot_connect,
dispatch=self.client.ws_dispatch,
loop=asyncio.get_running_loop(),
loop=asyncio.get_event_loop(),
api=self.api,
)
@@ -110,22 +106,6 @@ class QQOfficialWebhook:
print(signed)
return signed
event_id = msg.get("id")
if event_id:
now = time.monotonic()
# Lazily evict expired entries to prevent unbounded growth.
expired = [
k
for k, ts in self._seen_event_ids.items()
if now - ts > self._dedup_ttl
]
for k in expired:
del self._seen_event_ids[k]
if event_id in self._seen_event_ids:
logger.debug(f"Duplicate webhook event {event_id!r}, skipping.")
return {"opcode": 12}
self._seen_event_ids[event_id] = now
if event and opcode == BotWebSocket.WS_DISPATCH_EVENT:
event = msg["t"].lower()
try:
@@ -289,8 +289,8 @@ class TelegramPlatformAdapter(Platform):
else:
message.type = MessageType.GROUP_MESSAGE
message.group_id = str(update.message.chat.id)
if update.message.is_topic_message and update.message.message_thread_id:
# Telegram Topic Group: include thread id to isolate per-topic sessions.
if update.message.message_thread_id:
# Topic Group
message.group_id += "#" + str(update.message.message_thread_id)
message.session_id = message.group_id
message.message_id = str(update.message.message_id)
+109 -333
View File
@@ -1,7 +1,6 @@
import asyncio
import os
import re
from collections.abc import Callable
from typing import Any, cast
import telegramify_markdown
@@ -22,17 +21,6 @@ from astrbot.api.message_components import (
Video,
)
from astrbot.api.platform import AstrBotMessage, MessageType, PlatformMetadata
from astrbot.core.utils.metrics import Metric
def _is_gif(path: str) -> bool:
if path.lower().endswith(".gif"):
return True
try:
with open(path, "rb") as f:
return f.read(6) in (b"GIF87a", b"GIF89a")
except OSError:
return False
class TelegramPlatformEvent(AstrMessageEvent):
@@ -46,20 +34,6 @@ class TelegramPlatformEvent(AstrMessageEvent):
"word": re.compile(r"\s"),
}
# sendMessageDraft 的 draft_id 类级递增计数器
_TELEGRAM_DRAFT_ID_MAX = 2_147_483_647
_next_draft_id: int = 0
@classmethod
def _allocate_draft_id(cls) -> int:
"""分配一个递增的 draft_id,溢出时归 1。"""
cls._next_draft_id = (
1
if cls._next_draft_id >= cls._TELEGRAM_DRAFT_ID_MAX
else cls._next_draft_id + 1
)
return cls._next_draft_id
# 消息类型到 chat action 的映射,用于优先级判断
ACTION_BY_TYPE: dict[type, str] = {
Record: ChatAction.UPLOAD_VOICE,
@@ -288,6 +262,7 @@ class TelegramPlatformEvent(AstrMessageEvent):
try:
md_text = telegramify_markdown.markdownify(
chunk,
normalize_whitespace=False,
)
await client.send_message(
text=md_text,
@@ -301,13 +276,7 @@ class TelegramPlatformEvent(AstrMessageEvent):
await client.send_message(text=chunk, **cast(Any, payload))
elif isinstance(i, Image):
image_path = await i.convert_to_file_path()
if _is_gif(image_path):
send_coro = client.send_animation
media_kwarg = {"animation": image_path}
else:
send_coro = client.send_photo
media_kwarg = {"photo": image_path}
await send_coro(**media_kwarg, **cast(Any, payload))
await client.send_photo(photo=image_path, **cast(Any, payload))
elif isinstance(i, File):
path = await i.get_file()
name = i.name or os.path.basename(path)
@@ -370,125 +339,6 @@ class TelegramPlatformEvent(AstrMessageEvent):
except Exception as e:
logger.error(f"[Telegram] 添加反应失败: {e}")
async def _send_message_draft(
self,
chat_id: str,
draft_id: int,
text: str,
message_thread_id: str | None = None,
parse_mode: str | None = None,
) -> None:
"""通过 Bot.send_message_draft 发送草稿消息(流式推送部分消息)。
API 仅支持私聊
Args:
chat_id: 目标私聊的 chat_id
draft_id: 草稿唯一标识非零整数相同 draft_id 的变更会以动画展示
text: 消息文本1-4096 字符
message_thread_id: 可选目标消息线程 ID
parse_mode: 可选消息文本的解析模式
"""
kwargs: dict[str, Any] = {}
if message_thread_id:
kwargs["message_thread_id"] = int(message_thread_id)
if parse_mode:
kwargs["parse_mode"] = parse_mode
try:
logger.debug(
f"[Telegram] sendMessageDraft: chat_id={chat_id}, draft_id={draft_id}, text_len={len(text)}"
)
await self.client.send_message_draft(
chat_id=int(chat_id),
draft_id=draft_id,
text=text,
**kwargs,
)
except Exception as e:
logger.warning(f"[Telegram] sendMessageDraft 失败: {e!s}")
async def _process_chain_items(
self,
chain: MessageChain,
payload: dict[str, Any],
user_name: str,
message_thread_id: str | None,
on_text: Callable[[str], None],
) -> None:
"""处理 MessageChain 中的各类组件,文本通过 on_text 回调追加,媒体直接发送。"""
for i in chain.chain:
if isinstance(i, Plain):
on_text(i.text)
elif isinstance(i, Image):
image_path = await i.convert_to_file_path()
if _is_gif(image_path):
action = ChatAction.UPLOAD_VIDEO
send_coro = self.client.send_animation
media_kwarg = {"animation": image_path}
else:
action = ChatAction.UPLOAD_PHOTO
send_coro = self.client.send_photo
media_kwarg = {"photo": image_path}
await self._send_media_with_action(
self.client,
action,
send_coro,
user_name=user_name,
**media_kwarg,
**cast(Any, payload),
)
elif isinstance(i, File):
path = await i.get_file()
name = i.name or os.path.basename(path)
await self._send_media_with_action(
self.client,
ChatAction.UPLOAD_DOCUMENT,
self.client.send_document,
user_name=user_name,
document=path,
filename=name,
**cast(Any, payload),
)
elif isinstance(i, Record):
path = await i.convert_to_file_path()
await self._send_voice_with_fallback(
self.client,
path,
payload,
caption=i.text or None,
user_name=user_name,
message_thread_id=message_thread_id,
use_media_action=True,
)
elif isinstance(i, Video):
path = await i.convert_to_file_path()
await self._send_media_with_action(
self.client,
ChatAction.UPLOAD_VIDEO,
self.client.send_video,
user_name=user_name,
video=path,
**cast(Any, payload),
)
else:
logger.warning(f"不支持的消息类型: {type(i)}")
async def _send_final_segment(self, delta: str, payload: dict[str, Any]) -> None:
"""将累积文本作为 MarkdownV2 真实消息发送,失败时回退到纯文本。"""
try:
markdown_text = telegramify_markdown.markdownify(
delta,
)
await self.client.send_message(
text=markdown_text,
parse_mode="MarkdownV2",
**cast(Any, payload),
)
except Exception as e:
logger.warning(f"Markdown转换失败,使用普通文本: {e!s}")
await self.client.send_message(text=delta, **cast(Any, payload))
async def send_streaming(self, generator, use_fallback: bool = False):
message_thread_id = None
@@ -506,137 +356,6 @@ class TelegramPlatformEvent(AstrMessageEvent):
if message_thread_id:
payload["message_thread_id"] = message_thread_id
# sendMessageDraft 仅支持私聊(显式检查 FRIEND_MESSAGE
is_private = self.get_message_type() == MessageType.FRIEND_MESSAGE
if is_private:
logger.info("[Telegram] 流式输出: 使用 sendMessageDraft (私聊)")
await self._send_streaming_draft(
user_name, message_thread_id, payload, generator
)
else:
logger.info("[Telegram] 流式输出: 使用 edit_message_text fallback (群聊)")
await self._send_streaming_edit(
user_name, message_thread_id, payload, generator
)
# 内联父类 send_streaming 的副作用(避免传入已消费的 generator)
asyncio.create_task(
Metric.upload(msg_event_tick=1, adapter_name=self.platform_meta.name),
)
self._has_send_oper = True
async def _send_streaming_draft(
self,
user_name: str,
message_thread_id: str | None,
payload: dict[str, Any],
generator,
) -> None:
"""使用 sendMessageDraft API 进行流式推送(私聊专用)。
流式过程中使用 sendMessageDraft 推送草稿动画
流式结束后发送一条真实消息保留最终内容draft 是临时的会消失
使用信号驱动的发送循环每次有新 token 到达时唤醒发送
发送频率由网络 RTT 自然限制最多一个请求 in-flight
"""
draft_id = self._allocate_draft_id()
delta = ""
last_sent_text = ""
done = False # 信号:生成器已结束
text_changed = asyncio.Event() # 有新 token 到达时触发
async def _draft_sender_loop() -> None:
"""信号驱动的草稿发送循环,有新内容就发,RTT 自然限流。"""
nonlocal last_sent_text
while not done:
await text_changed.wait()
text_changed.clear()
# 发送最新的缓冲区内容(MarkdownV2 渲染,与真实消息一致)
if delta and delta != last_sent_text:
draft_text = delta[: self.MAX_MESSAGE_LENGTH]
if draft_text != last_sent_text:
try:
md = telegramify_markdown.markdownify(
draft_text,
)
await self._send_message_draft(
user_name,
draft_id,
md,
message_thread_id,
parse_mode="MarkdownV2",
)
last_sent_text = draft_text
except Exception:
# markdownify 对未闭合语法可能失败,回退纯文本
try:
await self._send_message_draft(
user_name,
draft_id,
draft_text,
message_thread_id,
)
last_sent_text = draft_text
except Exception as e2:
logger.debug(
f"[Telegram] sendMessageDraft failed (ignored): {e2!s}"
)
sender_task = asyncio.create_task(_draft_sender_loop())
def _append_text(t: str) -> None:
nonlocal delta
delta += t
text_changed.set() # 唤醒发送循环
try:
async for chain in generator:
if not isinstance(chain, MessageChain):
continue
if chain.type == "break":
# 分割符:发送真实消息保留内容,重置缓冲区
if delta:
# 用 emoji 清空 draft 显示,避免 draft 和真实消息同时可见
await self._send_message_draft(
user_name,
draft_id,
"\u23f3",
message_thread_id,
)
await self._send_final_segment(delta, payload)
delta = ""
last_sent_text = ""
draft_id = self._allocate_draft_id()
continue
await self._process_chain_items(
chain, payload, user_name, message_thread_id, _append_text
)
finally:
done = True
text_changed.set() # 唤醒循环使其退出
await sender_task
# 流式结束:用 emoji 清空 draft,然后发真实消息持久化
if delta:
await self._send_message_draft(
user_name,
draft_id,
"\u23f3",
message_thread_id,
)
await self._send_final_segment(delta, payload)
async def _send_streaming_edit(
self,
user_name: str,
message_thread_id: str | None,
payload: dict[str, Any],
generator,
) -> None:
"""使用 send_message + edit_message_text 进行流式推送(群聊 fallback)。"""
delta = ""
current_content = ""
message_id = None
@@ -647,75 +366,130 @@ class TelegramPlatformEvent(AstrMessageEvent):
# 发送初始 typing 状态
await self._ensure_typing(user_name, message_thread_id)
last_chat_action_time = asyncio.get_running_loop().time()
def _append_text(t: str) -> None:
nonlocal delta
delta += t
last_chat_action_time = asyncio.get_event_loop().time()
async for chain in generator:
if not isinstance(chain, MessageChain):
continue
if isinstance(chain, MessageChain):
if chain.type == "break":
# 分割符
if message_id:
try:
await self.client.edit_message_text(
text=delta,
chat_id=payload["chat_id"],
message_id=message_id,
)
except Exception as e:
logger.warning(f"编辑消息失败(streaming-break): {e!s}")
message_id = None # 重置消息 ID
delta = "" # 重置 delta
continue
if chain.type == "break":
# 分割符
if message_id:
try:
await self.client.edit_message_text(
text=delta,
chat_id=payload["chat_id"],
message_id=message_id,
# 处理消息链中的每个组件
for i in chain.chain:
if isinstance(i, Plain):
delta += i.text
elif isinstance(i, Image):
image_path = await i.convert_to_file_path()
await self._send_media_with_action(
self.client,
ChatAction.UPLOAD_PHOTO,
self.client.send_photo,
user_name=user_name,
photo=image_path,
**cast(Any, payload),
)
except Exception as e:
logger.warning(f"编辑消息失败(streaming-break): {e!s}")
message_id = None
delta = ""
continue
continue
elif isinstance(i, File):
path = await i.get_file()
name = i.name or os.path.basename(path)
await self._send_media_with_action(
self.client,
ChatAction.UPLOAD_DOCUMENT,
self.client.send_document,
user_name=user_name,
document=path,
filename=name,
**cast(Any, payload),
)
continue
elif isinstance(i, Record):
path = await i.convert_to_file_path()
await self._send_voice_with_fallback(
self.client,
path,
payload,
caption=i.text or delta or None,
user_name=user_name,
message_thread_id=message_thread_id,
use_media_action=True,
)
continue
elif isinstance(i, Video):
path = await i.convert_to_file_path()
await self._send_media_with_action(
self.client,
ChatAction.UPLOAD_VIDEO,
self.client.send_video,
user_name=user_name,
video=path,
**cast(Any, payload),
)
continue
else:
logger.warning(f"不支持的消息类型: {type(i)}")
continue
await self._process_chain_items(
chain, payload, user_name, message_thread_id, _append_text
)
# Plain
if message_id and len(delta) <= self.MAX_MESSAGE_LENGTH:
current_time = asyncio.get_event_loop().time()
time_since_last_edit = current_time - last_edit_time
# 编辑或发送消息
if message_id and len(delta) <= self.MAX_MESSAGE_LENGTH:
current_time = asyncio.get_running_loop().time()
time_since_last_edit = current_time - last_edit_time
if time_since_last_edit >= throttle_interval:
current_time = asyncio.get_running_loop().time()
# 如果距离上次编辑的时间 >= 设定的间隔,等待一段时间
if time_since_last_edit >= throttle_interval:
# 发送 typing 状态(带节流)
current_time = asyncio.get_event_loop().time()
if current_time - last_chat_action_time >= chat_action_interval:
await self._ensure_typing(user_name, message_thread_id)
last_chat_action_time = current_time
# 编辑消息
try:
await self.client.edit_message_text(
text=delta,
chat_id=payload["chat_id"],
message_id=message_id,
)
current_content = delta
except Exception as e:
logger.warning(f"编辑消息失败(streaming): {e!s}")
last_edit_time = (
asyncio.get_event_loop().time()
) # 更新上次编辑的时间
else:
# delta 长度一般不会大于 4096,因此这里直接发送
# 发送 typing 状态(带节流)
current_time = asyncio.get_event_loop().time()
if current_time - last_chat_action_time >= chat_action_interval:
await self._ensure_typing(user_name, message_thread_id)
last_chat_action_time = current_time
try:
await self.client.edit_message_text(
text=delta,
chat_id=payload["chat_id"],
message_id=message_id,
msg = await self.client.send_message(
text=delta, **cast(Any, payload)
)
current_content = delta
except Exception as e:
logger.warning(f"编辑消息失败(streaming): {e!s}")
last_edit_time = asyncio.get_running_loop().time()
else:
current_time = asyncio.get_running_loop().time()
if current_time - last_chat_action_time >= chat_action_interval:
await self._ensure_typing(user_name, message_thread_id)
last_chat_action_time = current_time
try:
msg = await self.client.send_message(
text=delta, **cast(Any, payload)
)
current_content = delta
except Exception as e:
logger.warning(f"发送消息失败(streaming): {e!s}")
message_id = msg.message_id
last_edit_time = asyncio.get_running_loop().time()
logger.warning(f"发送消息失败(streaming): {e!s}")
message_id = msg.message_id
last_edit_time = (
asyncio.get_event_loop().time()
) # 记录初始消息发送时间
try:
if delta and current_content != delta:
try:
markdown_text = telegramify_markdown.markdownify(
delta,
normalize_whitespace=False,
)
await self.client.edit_message_text(
text=markdown_text,
@@ -732,3 +506,5 @@ class TelegramPlatformEvent(AstrMessageEvent):
)
except Exception as e:
logger.warning(f"编辑消息失败(streaming): {e!s}")
return await super().send_streaming(generator, use_fallback)
@@ -200,7 +200,7 @@ class WecomPlatformAdapter(Platform):
return msg_list[-1]
return None
msg_new = await asyncio.get_running_loop().run_in_executor(
msg_new = await asyncio.get_event_loop().run_in_executor(
None,
get_latest_msg_item,
)
@@ -261,7 +261,7 @@ class WecomPlatformAdapter(Platform):
@override
async def run(self) -> None:
loop = asyncio.get_running_loop()
loop = asyncio.get_event_loop()
if self.kf_name:
try:
acc_list = (
@@ -339,7 +339,7 @@ class WecomPlatformAdapter(Platform):
abm.session_id = abm.sender.user_id
abm.raw_message = msg
elif isinstance(msg, VoiceMessage):
resp: Response = await asyncio.get_running_loop().run_in_executor(
resp: Response = await asyncio.get_event_loop().run_in_executor(
None,
self.client.media.download,
msg.media_id,
@@ -395,7 +395,7 @@ class WecomPlatformAdapter(Platform):
abm.message_str = text
elif msgtype == "image":
media_id = msg.get("image", {}).get("media_id", "")
resp: Response = await asyncio.get_running_loop().run_in_executor(
resp: Response = await asyncio.get_event_loop().run_in_executor(
None,
self.client.media.download,
media_id,
@@ -407,7 +407,7 @@ class WecomPlatformAdapter(Platform):
abm.message = [Image(file=path, url=path)]
elif msgtype == "voice":
media_id = msg.get("voice", {}).get("media_id", "")
resp: Response = await asyncio.get_running_loop().run_in_executor(
resp: Response = await asyncio.get_event_loop().run_in_executor(
None,
self.client.media.download,
media_id,
@@ -1,5 +1,5 @@
"""企业微信智能机器人平台适配器
基于企业微信智能机器人 API 的消息平台适配器支持 HTTP 回调与长连接
基于企业微信智能机器人 API 的消息平台适配器支持 HTTP 回调
参考webchat_adapter.py的队列机制实现异步消息处理和流式响应
"""
@@ -31,7 +31,6 @@ from .wecomai_api import (
WecomAIBotStreamMessageBuilder,
)
from .wecomai_event import WecomAIBotMessageEvent
from .wecomai_long_connection import WecomAIBotLongConnectionClient
from .wecomai_queue_mgr import WecomAIQueueMgr
from .wecomai_server import WecomAIBotServer
from .wecomai_utils import (
@@ -79,13 +78,8 @@ class WecomAIBotAdapter(Platform):
self.settings = platform_settings
# 初始化配置参数
self.connection_mode = self.config.get(
"wecom_ai_bot_connection_mode", "webhook"
)
self.token = self.config.get("token", self.config.get("wecomaibot_token", ""))
self.encoding_aes_key = self.config.get(
"encoding_aes_key", self.config.get("wecomaibot_encoding_aes_key", "")
)
self.token = self.config["token"]
self.encoding_aes_key = self.config["encoding_aes_key"]
self.port = int(self.config["port"])
self.host = self.config.get("callback_server_host", "0.0.0.0")
self.bot_name = self.config.get("wecom_ai_bot_name", "")
@@ -102,52 +96,25 @@ class WecomAIBotAdapter(Platform):
self.only_use_webhook_url_to_send = bool(
self.config.get("only_use_webhook_url_to_send", False),
)
self.long_connection_bot_id = self.config.get(
"wecomaibot_ws_bot_id", self.config.get("long_connection_bot_id", "")
)
self.long_connection_secret = self.config.get(
"wecomaibot_ws_secret", self.config.get("long_connection_secret", "")
)
self.long_connection_ws_url = self.config.get(
"wecomaibot_ws_url",
"wss://openws.work.weixin.qq.com",
)
self.long_connection_heartbeat_interval = int(
self.config.get("wecomaibot_heartbeat_interval", 30),
)
# 平台元数据
self.metadata = PlatformMetadata(
name="wecom_ai_bot",
description="企业微信智能机器人适配器,支持 HTTP 回调和长连接模式",
description="企业微信智能机器人适配器,支持 HTTP 回调接收消息",
id=self.config.get("id", "wecom_ai_bot"),
support_proactive_message=bool(self.msg_push_webhook_url),
)
self.api_client: WecomAIBotAPIClient | None = None
self.server: WecomAIBotServer | None = None
self.long_connection_client: WecomAIBotLongConnectionClient | None = None
# 初始化 API 客户端
self.api_client = WecomAIBotAPIClient(self.token, self.encoding_aes_key)
if self.connection_mode == "long_connection":
if not self.long_connection_bot_id or not self.long_connection_secret:
logger.warning(
"企业微信智能机器人长连接模式缺少 BotID 或 Secret,连接可能失败"
)
self.long_connection_client = WecomAIBotLongConnectionClient(
bot_id=self.long_connection_bot_id,
secret=self.long_connection_secret,
ws_url=self.long_connection_ws_url,
heartbeat_interval=self.long_connection_heartbeat_interval,
message_handler=self._process_long_connection_payload,
)
else:
self.api_client = WecomAIBotAPIClient(self.token, self.encoding_aes_key)
self.server = WecomAIBotServer(
host=self.host,
port=self.port,
api_client=self.api_client,
message_handler=self._process_message,
)
# 初始化 HTTP 服务器
self.server = WecomAIBotServer(
host=self.host,
port=self.port,
api_client=self.api_client,
message_handler=self._process_message,
)
# 事件循环和关闭信号
self.shutdown_event = asyncio.Event()
@@ -194,9 +161,6 @@ class WecomAIBotAdapter(Platform):
加密后的响应消息无需响应时返回 None
"""
if not self.api_client:
logger.error("Webhook 消息处理失败: API 客户端未初始化")
return None
msgtype = message_data.get("msgtype")
if not msgtype:
logger.warning(f"消息类型未知,忽略: {message_data}")
@@ -356,100 +320,10 @@ class WecomAIBotAdapter(Platform):
logger.error("处理欢迎消息时发生异常: %s", e)
return None
async def _process_long_connection_payload(
self,
payload: dict[str, Any],
) -> None:
"""处理长连接回调消息。"""
cmd = payload.get("cmd")
headers = payload.get("headers") or {}
body = payload.get("body") or {}
req_id = headers.get("req_id")
if not isinstance(body, dict):
return
if cmd == "aibot_msg_callback":
session_id = self._extract_session_id(body)
stream_id = f"{session_id}_{generate_random_string(10)}"
await self._enqueue_message(
body, {"req_id": req_id or ""}, stream_id, session_id
)
self.queue_mgr.set_pending_response(
stream_id,
{
"req_id": req_id or "",
"connection_mode": "long_connection",
},
)
if self.initial_respond_text and req_id:
await self._send_long_connection_respond_msg(
req_id=req_id,
body={
"msgtype": "stream",
"stream": {
"id": stream_id,
"finish": False,
"content": self.initial_respond_text,
},
},
)
return
if cmd == "aibot_event_callback":
event = body.get("event") or {}
event_type = event.get("eventtype")
if (
event_type == "enter_chat"
and self.friend_message_welcome_text
and req_id
):
await self._send_long_connection_respond_welcome(req_id)
elif event_type == "disconnected_event":
logger.warning(
"[WecomAI][LongConn] 收到 disconnected_event,旧连接将被关闭"
)
async def _send_long_connection_respond_welcome(self, req_id: str) -> bool:
client = self.long_connection_client
if not client:
return False
return await client.send_command(
cmd="aibot_respond_welcome_msg",
req_id=req_id,
body={
"msgtype": "text",
"text": {
"content": self.friend_message_welcome_text,
},
},
)
async def _send_long_connection_respond_msg(
self,
req_id: str,
body: dict[str, Any],
) -> bool:
client = self.long_connection_client
if not client:
return False
return await client.send_command(
cmd="aibot_respond_msg",
req_id=req_id,
body=body,
)
def _extract_session_id(self, message_data: dict[str, Any]) -> str:
"""从消息数据中提取会话ID
群聊使用 chatid单聊使用 userid
"""
chattype = message_data.get("chattype", "single")
if chattype == "group":
chat_id = message_data.get("chatid", "default_group")
return format_session_id("wecomai", chat_id)
else:
user_id = message_data.get("from", {}).get("userid", "default_user")
return format_session_id("wecomai", user_id)
"""从消息数据中提取会话ID"""
user_id = message_data.get("from", {}).get("userid", "default_user")
return format_session_id("wecomai", user_id)
async def _enqueue_message(
self,
@@ -481,16 +355,15 @@ class WecomAIBotAdapter(Platform):
content = ""
image_base64 = []
_img_url_to_process: list[tuple[str, str | None]] = []
_img_url_to_process = []
msg_items = []
if msgtype == WecomAIBotConstants.MSG_TYPE_TEXT:
content = WecomAIBotMessageParser.parse_text_message(message_data)
elif msgtype == WecomAIBotConstants.MSG_TYPE_IMAGE:
image_payload = message_data.get("image", {})
image_url = image_payload.get("url", "")
if image_url:
_img_url_to_process.append((image_url, image_payload.get("aeskey")))
_img_url_to_process.append(
WecomAIBotMessageParser.parse_image_message(message_data),
)
elif msgtype == WecomAIBotConstants.MSG_TYPE_MIXED:
# 提取混合消息中的文本内容
msg_items = WecomAIBotMessageParser.parse_mixed_message(message_data)
@@ -501,12 +374,9 @@ class WecomAIBotAdapter(Platform):
if text_content:
text_parts.append(text_content)
elif item.get("msgtype") == WecomAIBotConstants.MSG_TYPE_IMAGE:
image_payload = item.get("image", {})
image_url = image_payload.get("url", "")
image_url = item.get("image", {}).get("url", "")
if image_url:
_img_url_to_process.append(
(image_url, image_payload.get("aeskey"))
)
_img_url_to_process.append(image_url)
content = " ".join(text_parts) if text_parts else ""
else:
content = f"[{msgtype}消息]"
@@ -514,8 +384,8 @@ class WecomAIBotAdapter(Platform):
# 并行处理图片下载和解密
if _img_url_to_process:
tasks = [
process_encrypted_image(url, aes_key or self.encoding_aes_key)
for url, aes_key in _img_url_to_process
process_encrypted_image(url, self.encoding_aes_key)
for url in _img_url_to_process
]
results = await asyncio.gather(*tasks)
for success, result in results:
@@ -589,43 +459,26 @@ class WecomAIBotAdapter(Platform):
"""运行适配器,同时启动HTTP服务器和队列监听器"""
async def run_both() -> None:
if self.connection_mode == "long_connection":
if not self.long_connection_client:
raise RuntimeError("长连接客户端未初始化")
# 如果启用统一 webhook 模式,则不启动独立服务器
webhook_uuid = self.config.get("webhook_uuid")
if self.unified_webhook_mode and webhook_uuid:
log_webhook_info(f"{self.meta().id}(企业微信智能机器人)", webhook_uuid)
# 只运行队列监听器
await self.queue_listener.run()
else:
logger.info(
"启动企业微信智能机器人长连接模式: %s", self.long_connection_ws_url
"启动企业微信智能机器人适配器,监听 %s:%d", self.host, self.port
)
# 同时运行HTTP服务器和队列监听器
await asyncio.gather(
self.long_connection_client.start(),
self.server.start_server(),
self.queue_listener.run(),
)
else:
# 如果启用统一 webhook 模式,则不启动独立服务器
webhook_uuid = self.config.get("webhook_uuid")
if self.unified_webhook_mode and webhook_uuid:
log_webhook_info(
f"{self.meta().id}(企业微信智能机器人)", webhook_uuid
)
# 只运行队列监听器
await self.queue_listener.run()
else:
if not self.server:
raise RuntimeError("Webhook 服务器未初始化")
logger.info(
"启动企业微信智能机器人适配器,监听 %s:%d", self.host, self.port
)
# 同时运行HTTP服务器和队列监听器
await asyncio.gather(
self.server.start_server(),
self.queue_listener.run(),
)
return run_both()
async def webhook_callback(self, request: Any) -> Any:
"""统一 Webhook 回调入口"""
if self.connection_mode == "long_connection" or not self.server:
return "long_connection mode does not accept webhook callbacks", 400
# 根据请求方法分发到不同的处理函数
if request.method == "GET":
return await self.server.handle_verify(request)
@@ -636,10 +489,7 @@ class WecomAIBotAdapter(Platform):
"""终止适配器"""
logger.info("企业微信智能机器人适配器正在关闭...")
self.shutdown_event.set()
if self.long_connection_client:
await self.long_connection_client.shutdown()
if self.server:
await self.server.shutdown()
await self.server.shutdown()
def meta(self) -> PlatformMetadata:
"""获取平台元数据"""
@@ -657,22 +507,17 @@ class WecomAIBotAdapter(Platform):
queue_mgr=self.queue_mgr,
webhook_client=self.webhook_client,
only_use_webhook_url_to_send=self.only_use_webhook_url_to_send,
long_connection_sender=self._send_long_connection_respond_msg,
)
message_event.is_at_or_wake_command = (
True # 企业微信智能机器人默认消息都是 at 或唤醒命令
)
message_event.is_wake = True # 企业微信智能机器人消息默认当做唤醒命令处理
self.commit_event(message_event)
except Exception as e:
logger.error("处理消息时发生异常: %s", e)
def get_client(self) -> WecomAIBotAPIClient | None:
def get_client(self) -> WecomAIBotAPIClient:
"""获取 API 客户端"""
return self.api_client
def get_server(self) -> WecomAIBotServer | None:
def get_server(self) -> WecomAIBotServer:
"""获取 HTTP 服务器实例"""
return self.server
@@ -1,7 +1,5 @@
"""企业微信智能机器人事件处理模块,处理消息事件的发送和接收"""
from collections.abc import Awaitable, Callable
from astrbot.api import logger
from astrbot.api.event import AstrMessageEvent, MessageChain
from astrbot.api.message_components import At, Image, Plain
@@ -20,11 +18,10 @@ class WecomAIBotMessageEvent(AstrMessageEvent):
message_obj,
platform_meta,
session_id: str,
api_client: WecomAIBotAPIClient | None,
api_client: WecomAIBotAPIClient,
queue_mgr: WecomAIQueueMgr,
webhook_client: WecomAIBotWebhookClient | None = None,
only_use_webhook_url_to_send: bool = False,
long_connection_sender: (Callable[[str, dict], Awaitable[bool]] | None) = None,
) -> None:
"""初始化消息事件
@@ -41,7 +38,6 @@ class WecomAIBotMessageEvent(AstrMessageEvent):
self.queue_mgr = queue_mgr
self.webhook_client = webhook_client
self.only_use_webhook_url_to_send = only_use_webhook_url_to_send
self.long_connection_sender = long_connection_sender
async def _mark_stream_complete(self, stream_id: str) -> None:
back_queue = self.queue_mgr.get_or_create_back_queue(stream_id)
@@ -121,18 +117,6 @@ class WecomAIBotMessageEvent(AstrMessageEvent):
return data
@staticmethod
def _extract_plain_text_from_chain(message_chain: MessageChain | None) -> str:
if not message_chain:
return ""
plain_parts: list[str] = []
for comp in message_chain.chain:
if isinstance(comp, At):
plain_parts.append(f"@{comp.name} ")
elif isinstance(comp, Plain):
plain_parts.append(comp.text)
return "".join(plain_parts).strip()
async def send(self, message: MessageChain | None) -> None:
"""发送消息"""
raw = self.message_obj.raw_message
@@ -140,44 +124,6 @@ class WecomAIBotMessageEvent(AstrMessageEvent):
"wecom_ai_bot platform event raw_message should be a dict"
)
stream_id = raw.get("stream_id", self.session_id)
pending_response = self.queue_mgr.get_pending_response(stream_id) or {}
connection_mode = pending_response.get("callback_params", {}).get(
"connection_mode"
)
req_id = pending_response.get("callback_params", {}).get("req_id")
if (
connection_mode == "long_connection"
and self.long_connection_sender
and isinstance(req_id, str)
and req_id
):
if self.only_use_webhook_url_to_send and self.webhook_client and message:
await self.webhook_client.send_message_chain(message)
await super().send(MessageChain([]))
return
if self.webhook_client and message:
await self.webhook_client.send_message_chain(
message,
unsupported_only=True,
)
content = self._extract_plain_text_from_chain(message)
await self.long_connection_sender(
req_id,
{
"msgtype": "stream",
"stream": {
"id": stream_id,
"finish": True,
"content": content,
},
},
)
await super().send(MessageChain([]))
return
if self.only_use_webhook_url_to_send and self.webhook_client and message:
await self.webhook_client.send_message_chain(message)
await self._mark_stream_complete(stream_id)
@@ -206,77 +152,8 @@ class WecomAIBotMessageEvent(AstrMessageEvent):
"wecom_ai_bot platform event raw_message should be a dict"
)
stream_id = raw.get("stream_id", self.session_id)
pending_response = self.queue_mgr.get_pending_response(stream_id) or {}
connection_mode = pending_response.get("callback_params", {}).get(
"connection_mode"
)
req_id = pending_response.get("callback_params", {}).get("req_id")
back_queue = self.queue_mgr.get_or_create_back_queue(stream_id)
if (
connection_mode == "long_connection"
and self.long_connection_sender
and isinstance(req_id, str)
and req_id
):
if self.only_use_webhook_url_to_send and self.webhook_client:
merged_chain = MessageChain([])
async for chain in generator:
merged_chain.chain.extend(chain.chain)
merged_chain.squash_plain()
await self.webhook_client.send_message_chain(merged_chain)
await self.long_connection_sender(
req_id,
{
"msgtype": "stream",
"stream": {
"id": stream_id,
"finish": True,
"content": "",
},
},
)
await super().send_streaming(generator, use_fallback)
return
increment_plain = ""
async for chain in generator:
if self.webhook_client:
await self.webhook_client.send_message_chain(
chain,
unsupported_only=True,
)
chain.squash_plain()
chunk_text = self._extract_plain_text_from_chain(chain)
if chunk_text:
increment_plain += chunk_text
await self.long_connection_sender(
req_id,
{
"msgtype": "stream",
"stream": {
"id": stream_id,
"finish": False,
"content": increment_plain,
},
},
)
await self.long_connection_sender(
req_id,
{
"msgtype": "stream",
"stream": {
"id": stream_id,
"finish": True,
"content": increment_plain,
},
},
)
await super().send_streaming(generator, use_fallback)
return
if self.only_use_webhook_url_to_send and self.webhook_client:
merged_chain = MessageChain([])
async for chain in generator:
@@ -1,236 +0,0 @@
"""企业微信智能机器人长连接客户端。"""
import asyncio
import json
import uuid
from collections.abc import Awaitable, Callable
from typing import Any
import aiohttp
from astrbot.api import logger
class WecomAIBotLongConnectionClient:
"""企业微信智能机器人 WebSocket 长连接客户端。"""
def __init__(
self,
bot_id: str,
secret: str,
ws_url: str,
heartbeat_interval: int,
message_handler: Callable[[dict[str, Any]], Awaitable[None]],
) -> None:
self.bot_id = bot_id
self.secret = secret
self.ws_url = ws_url
self.heartbeat_interval = max(5, int(heartbeat_interval))
self.message_handler = message_handler
self._session: aiohttp.ClientSession | None = None
self._ws: aiohttp.ClientWebSocketResponse | None = None
self._shutdown_event = asyncio.Event()
self._send_lock = asyncio.Lock()
self._command_lock = asyncio.Lock()
self._response_waiters: dict[str, asyncio.Future[dict[str, Any]]] = {}
@staticmethod
def gen_req_id() -> str:
return uuid.uuid4().hex
async def start(self) -> None:
"""启动长连接并自动重连。"""
reconnect_delay = 1
while not self._shutdown_event.is_set():
try:
await self._run_once()
reconnect_delay = 1
except asyncio.CancelledError:
raise
except Exception as e:
logger.error("[WecomAI][LongConn] 长连接异常: %s", e)
if self._shutdown_event.is_set():
break
await asyncio.sleep(reconnect_delay)
reconnect_delay = min(reconnect_delay * 2, 30)
async def _run_once(self) -> None:
timeout = aiohttp.ClientTimeout(total=None, sock_connect=15, sock_read=None)
async with aiohttp.ClientSession(timeout=timeout) as session:
self._session = session
logger.info("[WecomAI][LongConn] 正在连接: %s", self.ws_url)
async with session.ws_connect(
self.ws_url, heartbeat=None, autoping=True
) as ws:
self._ws = ws
await self._subscribe()
logger.info("[WecomAI][LongConn] 订阅成功,已建立长连接")
heartbeat_task = asyncio.create_task(self._heartbeat_loop())
try:
while not self._shutdown_event.is_set():
message = await ws.receive()
if message.type == aiohttp.WSMsgType.TEXT:
await self._handle_text_message(message.data)
elif message.type in {
aiohttp.WSMsgType.CLOSED,
aiohttp.WSMsgType.CLOSE,
aiohttp.WSMsgType.ERROR,
}:
break
finally:
heartbeat_task.cancel()
try:
await heartbeat_task
except asyncio.CancelledError:
pass
self._ws = None
async def _subscribe(self) -> None:
"""发送 aibot_subscribe,并等待响应。"""
req_id = self.gen_req_id()
payload = {
"cmd": "aibot_subscribe",
"headers": {"req_id": req_id},
"body": {"bot_id": self.bot_id, "secret": self.secret},
}
await self._send_json(payload)
if not self._ws:
raise RuntimeError("WebSocket 未建立")
reply = await self._ws.receive(timeout=10)
if reply.type != aiohttp.WSMsgType.TEXT:
raise RuntimeError(f"订阅失败: 非文本响应 {reply.type}")
data = json.loads(reply.data)
if data.get("errcode") != 0:
raise RuntimeError(
f"订阅失败 errcode={data.get('errcode')} errmsg={data.get('errmsg')}"
)
async def _heartbeat_loop(self) -> None:
while not self._shutdown_event.is_set():
await asyncio.sleep(self.heartbeat_interval)
if self._shutdown_event.is_set():
break
try:
await self.send_command("ping", self.gen_req_id(), None)
except Exception as e:
logger.warning("[WecomAI][LongConn] 发送心跳失败: %s", e)
return
async def _handle_text_message(self, text: str) -> None:
try:
payload = json.loads(text)
except json.JSONDecodeError:
logger.warning("[WecomAI][LongConn] 收到非 JSON 消息: %s", text)
return
headers = payload.get("headers") or {}
req_id = headers.get("req_id")
if isinstance(req_id, str):
waiter = self._response_waiters.get(req_id)
if waiter and not waiter.done():
waiter.set_result(payload)
return
cmd = payload.get("cmd")
if cmd in {"aibot_msg_callback", "aibot_event_callback"}:
await self.message_handler(payload)
return
if payload.get("errcode") not in (None, 0):
logger.warning(
"[WecomAI][LongConn] 服务端返回错误: errcode=%s errmsg=%s",
payload.get("errcode"),
payload.get("errmsg"),
)
async def send_command(
self,
cmd: str,
req_id: str,
body: dict[str, Any] | None,
) -> bool:
"""发送长连接命令。"""
headers = {"req_id": req_id}
payload: dict[str, Any] = {"cmd": cmd, "headers": headers}
if body is not None:
payload["body"] = body
async with self._command_lock:
max_retries = 3
for attempt in range(max_retries + 1):
response = await self._send_and_wait_response(req_id, payload)
if not response:
if attempt < max_retries:
await asyncio.sleep(min(0.2 * (2**attempt), 2.0))
continue
return False
errcode = response.get("errcode")
if errcode in (0, None):
return True
if errcode == 6000 and attempt < max_retries:
backoff = min(0.2 * (2**attempt), 2.0)
logger.warning(
"[WecomAI][LongConn] 命令冲突(errcode=6000),将重试。cmd=%s req_id=%s attempt=%d",
cmd,
req_id,
attempt + 1,
)
await asyncio.sleep(backoff)
continue
logger.warning(
"[WecomAI][LongConn] 命令失败: cmd=%s req_id=%s errcode=%s errmsg=%s",
cmd,
req_id,
errcode,
response.get("errmsg"),
)
return False
return False
async def _send_and_wait_response(
self,
req_id: str,
payload: dict[str, Any],
timeout: float = 10.0,
) -> dict[str, Any] | None:
loop = asyncio.get_running_loop()
waiter: asyncio.Future[dict[str, Any]] = loop.create_future()
self._response_waiters[req_id] = waiter
try:
await self._send_json(payload)
return await asyncio.wait_for(waiter, timeout=timeout)
except TimeoutError:
logger.warning(
"[WecomAI][LongConn] 等待命令响应超时: cmd=%s req_id=%s",
payload.get("cmd"),
req_id,
)
return None
finally:
self._response_waiters.pop(req_id, None)
async def _send_json(self, payload: dict[str, Any]) -> None:
ws = self._ws
if ws is None or ws.closed:
raise RuntimeError("长连接尚未建立")
async with self._send_lock:
await ws.send_json(payload)
async def shutdown(self) -> None:
self._shutdown_event.set()
ws = self._ws
if ws is not None and not ws.closed:
await ws.close()
session = self._session
if session is not None and not session.closed:
await session.close()
@@ -4,7 +4,6 @@
"""
import asyncio
import time
from collections.abc import Awaitable, Callable
from typing import Any
@@ -83,7 +82,7 @@ class WecomAIQueueMgr:
del self.pending_responses[session_id]
logger.debug(f"[WecomAI] 移除待处理响应: {session_id}")
if mark_finished:
self.completed_streams[session_id] = time.monotonic()
self.completed_streams[session_id] = asyncio.get_event_loop().time()
logger.debug(f"[WecomAI] 标记流已结束: {session_id}")
def remove_queue(self, session_id: str):
@@ -136,7 +135,7 @@ class WecomAIQueueMgr:
"""
self.pending_responses[session_id] = {
"callback_params": callback_params,
"timestamp": time.monotonic(),
"timestamp": asyncio.get_event_loop().time(),
}
logger.debug(f"[WecomAI] 设置待处理响应: {session_id}")
@@ -161,7 +160,7 @@ class WecomAIQueueMgr:
finished_at = self.completed_streams.get(session_id)
if finished_at is None:
return False
if time.monotonic() - finished_at > max_age_seconds:
if asyncio.get_event_loop().time() - finished_at > max_age_seconds:
self.completed_streams.pop(session_id, None)
return False
return True
@@ -173,7 +172,7 @@ class WecomAIQueueMgr:
max_age_seconds: 最大存活时间
"""
current_time = time.monotonic()
current_time = asyncio.get_event_loop().time()
expired_sessions = []
for session_id, response_data in self.pending_responses.items():
@@ -369,7 +369,7 @@ class WeixinOfficialAccountPlatformAdapter(Platform):
if future:
logger.debug(f"duplicate message id checked: {msg.id}")
else:
future = asyncio.get_running_loop().create_future()
future = asyncio.get_event_loop().create_future()
self.wexin_event_workers[msg_id] = future
await self.convert_message(msg, future)
# I love shield so much!
@@ -461,7 +461,7 @@ class WeixinOfficialAccountPlatformAdapter(Platform):
elif msg.type == "voice":
assert isinstance(msg, VoiceMessage)
resp: Response = await asyncio.get_running_loop().run_in_executor(
resp: Response = await asyncio.get_event_loop().run_in_executor(
None,
self.client.media.download,
msg.media_id,
+116 -454
View File
@@ -4,11 +4,7 @@ import asyncio
import copy
import json
import os
import threading
import urllib.parse
from collections.abc import AsyncGenerator, Awaitable, Callable, Mapping
from dataclasses import dataclass
from types import MappingProxyType
from collections.abc import AsyncGenerator, Awaitable, Callable
from typing import Any
import aiohttp
@@ -21,103 +17,6 @@ from astrbot.core.utils.astrbot_path import get_astrbot_data_path
DEFAULT_MCP_CONFIG = {"mcpServers": {}}
DEFAULT_MCP_INIT_TIMEOUT_SECONDS = 180.0
DEFAULT_ENABLE_MCP_TIMEOUT_SECONDS = 180.0
MCP_INIT_TIMEOUT_ENV = "ASTRBOT_MCP_INIT_TIMEOUT"
ENABLE_MCP_TIMEOUT_ENV = "ASTRBOT_MCP_ENABLE_TIMEOUT"
MAX_MCP_TIMEOUT_SECONDS = 300.0
class MCPInitError(Exception):
"""Base exception for MCP initialization failures."""
class MCPInitTimeoutError(asyncio.TimeoutError, MCPInitError):
"""Raised when MCP client initialization exceeds the configured timeout."""
class MCPAllServicesFailedError(MCPInitError):
"""Raised when all configured MCP services fail to initialize."""
class MCPShutdownTimeoutError(asyncio.TimeoutError):
"""Raised when MCP shutdown exceeds the configured timeout."""
def __init__(self, names: list[str], timeout: float) -> None:
self.names = names
self.timeout = timeout
message = f"MCP 服务关闭超时({timeout:g} 秒):{', '.join(names)}"
super().__init__(message)
@dataclass
class MCPInitSummary:
total: int
success: int
failed: list[str]
@dataclass
class _MCPServerRuntime:
name: str
client: MCPClient
shutdown_event: asyncio.Event
lifecycle_task: asyncio.Task[None]
class _MCPClientDictView(Mapping[str, MCPClient]):
"""Read-only view of MCP clients derived from runtime state."""
def __init__(self, runtime: dict[str, _MCPServerRuntime]) -> None:
self._runtime = runtime
def __getitem__(self, key: str) -> MCPClient:
return self._runtime[key].client
def __iter__(self):
return iter(self._runtime)
def __len__(self) -> int:
return len(self._runtime)
def _resolve_timeout(
timeout: float | int | str | None = None,
*,
env_name: str = MCP_INIT_TIMEOUT_ENV,
default: float = DEFAULT_MCP_INIT_TIMEOUT_SECONDS,
) -> float:
"""Resolve timeout with precedence: explicit argument > env value > default."""
source = f"环境变量 {env_name}"
if timeout is None:
timeout = os.getenv(env_name, str(default))
else:
source = "显式参数 timeout"
try:
timeout_value = float(timeout)
except (TypeError, ValueError):
logger.warning(
f"超时配置({source}={timeout!r} 无效,使用默认值 {default:g} 秒。"
)
return default
if timeout_value <= 0:
logger.warning(
f"超时配置({source}={timeout_value:g} 必须大于 0,使用默认值 {default:g} 秒。"
)
return default
if timeout_value > MAX_MCP_TIMEOUT_SECONDS:
logger.warning(
f"超时配置({source}={timeout_value:g} 过大,已限制为最大值 "
f"{MAX_MCP_TIMEOUT_SECONDS:g} 秒,以避免长时间等待。"
)
return MAX_MCP_TIMEOUT_SECONDS
return timeout_value
SUPPORTED_TYPES = [
"string",
"number",
@@ -207,49 +106,9 @@ async def _quick_test_mcp_connection(config: dict) -> tuple[bool, str]:
class FunctionToolManager:
def __init__(self) -> None:
self.func_list: list[FuncTool] = []
self._mcp_server_runtime: dict[str, _MCPServerRuntime] = {}
"""MCP 服务运行时状态(唯一事实来源)"""
self._mcp_server_runtime_view = MappingProxyType(self._mcp_server_runtime)
self._mcp_client_dict_view = _MCPClientDictView(self._mcp_server_runtime)
self._timeout_mismatch_warned = False
self._timeout_warn_lock = threading.Lock()
self._runtime_lock = asyncio.Lock()
self._mcp_starting: set[str] = set()
self._init_timeout_default = _resolve_timeout(
timeout=None,
env_name=MCP_INIT_TIMEOUT_ENV,
default=DEFAULT_MCP_INIT_TIMEOUT_SECONDS,
)
self._enable_timeout_default = _resolve_timeout(
timeout=None,
env_name=ENABLE_MCP_TIMEOUT_ENV,
default=DEFAULT_ENABLE_MCP_TIMEOUT_SECONDS,
)
self._warn_on_timeout_mismatch(
self._init_timeout_default,
self._enable_timeout_default,
)
@property
def mcp_client_dict(self) -> Mapping[str, MCPClient]:
"""Read-only compatibility view for external callers that still read mcp_client_dict.
Note: Mutating this mapping is unsupported and will raise TypeError.
"""
return self._mcp_client_dict_view
@property
def mcp_server_runtime_view(self) -> Mapping[str, _MCPServerRuntime]:
"""Read-only view of MCP runtime metadata for external callers."""
return self._mcp_server_runtime_view
@property
def mcp_server_runtime(self) -> Mapping[str, _MCPServerRuntime]:
"""Backward-compatible read-only view (deprecated). Do not mutate.
Note: Mutations are not supported and will raise TypeError.
"""
return self._mcp_server_runtime_view
self.mcp_client_dict: dict[str, MCPClient] = {}
"""MCP 服务列表"""
self.mcp_client_event: dict[str, asyncio.Event] = {}
def empty(self) -> bool:
return len(self.func_list) == 0
@@ -320,34 +179,7 @@ class FunctionToolManager:
tool_set = ToolSet(self.func_list.copy())
return tool_set
@staticmethod
def _log_safe_mcp_debug_config(cfg: dict) -> None:
# 仅记录脱敏后的摘要,避免泄露 command/args/url 中的敏感信息
if "command" in cfg:
cmd = cfg["command"]
executable = str(cmd[0] if isinstance(cmd, (list, tuple)) and cmd else cmd)
args_val = cfg.get("args", [])
args_count = (
len(args_val)
if isinstance(args_val, (list, tuple))
else (0 if args_val is None else 1)
)
logger.debug(f" 命令可执行文件: {executable}, 参数数量: {args_count}")
return
if "url" in cfg:
parsed = urllib.parse.urlparse(str(cfg["url"]))
host = parsed.hostname or ""
scheme = parsed.scheme or "unknown"
try:
port = f":{parsed.port}" if parsed.port else ""
except ValueError:
port = ""
logger.debug(f" 主机: {scheme}://{host}{port}")
async def init_mcp_clients(
self, raise_on_all_failed: bool = False
) -> MCPInitSummary:
async def init_mcp_clients(self) -> None:
"""从项目根目录读取 mcp_server.json 文件,初始化 MCP 服务列表。文件格式如下:
```
{
@@ -365,10 +197,6 @@ class FunctionToolManager:
...
}
```
Timeout behavior:
- 初始化超时使用环境变量 ASTRBOT_MCP_INIT_TIMEOUT 或默认值
- 动态启用超时使用 ASTRBOT_MCP_ENABLE_TIMEOUT独立于初始化超时
"""
data_dir = get_astrbot_data_path()
@@ -378,217 +206,56 @@ class FunctionToolManager:
with open(mcp_json_file, "w", encoding="utf-8") as f:
json.dump(DEFAULT_MCP_CONFIG, f, ensure_ascii=False, indent=4)
logger.info(f"未找到 MCP 服务配置文件,已创建默认配置文件 {mcp_json_file}")
return MCPInitSummary(total=0, success=0, failed=[])
return
with open(mcp_json_file, encoding="utf-8") as f:
mcp_server_json_obj: dict[str, dict] = json.load(f)["mcpServers"]
mcp_server_json_obj: dict[str, dict] = json.load(
open(mcp_json_file, encoding="utf-8"),
)["mcpServers"]
init_timeout = self._init_timeout_default
timeout_display = f"{init_timeout:g}"
active_configs: list[tuple[str, dict, asyncio.Event]] = []
for name, cfg in mcp_server_json_obj.items():
for name in mcp_server_json_obj:
cfg = mcp_server_json_obj[name]
if cfg.get("active", True):
shutdown_event = asyncio.Event()
active_configs.append((name, cfg, shutdown_event))
event = asyncio.Event()
asyncio.create_task(
self._init_mcp_client_task_wrapper(name, cfg, event),
)
self.mcp_client_event[name] = event
if not active_configs:
return MCPInitSummary(total=0, success=0, failed=[])
logger.info(f"等待 {len(active_configs)} 个 MCP 服务初始化...")
init_tasks = [
asyncio.create_task(
self._start_mcp_server(
name=name,
cfg=cfg,
shutdown_event=shutdown_event,
timeout=init_timeout,
),
name=f"mcp-init:{name}",
)
for (name, cfg, shutdown_event) in active_configs
]
results = await asyncio.gather(*init_tasks, return_exceptions=True)
success_count = 0
failed_services: list[str] = []
for (name, cfg, _), result in zip(active_configs, results, strict=False):
if isinstance(result, Exception):
if isinstance(result, MCPInitTimeoutError):
logger.error(
f"Connected to MCP server {name} timeout ({timeout_display} seconds)"
)
else:
logger.error(f"Failed to initialize MCP server {name}: {result}")
self._log_safe_mcp_debug_config(cfg)
failed_services.append(name)
async with self._runtime_lock:
self._mcp_server_runtime.pop(name, None)
continue
success_count += 1
if failed_services:
logger.warning(
f"The following MCP services failed to initialize: {', '.join(failed_services)}. "
f"Please check the mcp_server.json file and server availability."
)
summary = MCPInitSummary(
total=len(active_configs), success=success_count, failed=failed_services
)
logger.info(
f"MCP services initialization completed: {summary.success}/{summary.total} successful, {len(summary.failed)} failed."
)
if summary.total > 0 and summary.success == 0:
msg = "All MCP services failed to initialize, please check the mcp_server.json and server availability."
if raise_on_all_failed:
raise MCPAllServicesFailedError(msg)
logger.error(msg)
return summary
async def _start_mcp_server(
async def _init_mcp_client_task_wrapper(
self,
name: str,
cfg: dict,
*,
shutdown_event: asyncio.Event | None = None,
timeout: float,
event: asyncio.Event,
ready_future: asyncio.Future | None = None,
) -> None:
"""Initialize MCP server with timeout and register task/event together.
This method is idempotent. If the server is already running, the existing
runtime is kept and the new config is ignored.
"""
async with self._runtime_lock:
if name in self._mcp_server_runtime or name in self._mcp_starting:
logger.warning(
f"Connected to MCP server {name}, ignoring this startup request (timeout={timeout:g})."
)
self._log_safe_mcp_debug_config(cfg)
return
self._mcp_starting.add(name)
if shutdown_event is None:
shutdown_event = asyncio.Event()
mcp_client: MCPClient | None = None
"""初始化 MCP 客户端的包装函数,用于捕获异常"""
try:
mcp_client = await asyncio.wait_for(
self._init_mcp_client(name, cfg),
timeout=timeout,
)
except asyncio.TimeoutError as exc:
raise MCPInitTimeoutError(
f"Connected to MCP server {name} timeout ({timeout:g} seconds)"
) from exc
except Exception:
logger.error(f"Failed to initialize MCP client {name}", exc_info=True)
raise
await self._init_mcp_client(name, cfg)
tools = await self.mcp_client_dict[name].list_tools_and_save()
if ready_future and not ready_future.done():
# tell the caller we are ready
ready_future.set_result(tools)
await event.wait()
logger.info(f"收到 MCP 客户端 {name} 终止信号")
except Exception as e:
logger.error(f"初始化 MCP 客户端 {name} 失败", exc_info=True)
if ready_future and not ready_future.done():
ready_future.set_exception(e)
finally:
if mcp_client is None:
async with self._runtime_lock:
self._mcp_starting.discard(name)
# 无论如何都能清理
await self._terminate_mcp_client(name)
async def lifecycle() -> None:
try:
await shutdown_event.wait()
logger.info(f"Received shutdown signal for MCP client {name}")
except asyncio.CancelledError:
logger.debug(f"MCP client {name} task was cancelled")
raise
finally:
await self._terminate_mcp_client(name)
lifecycle_task = asyncio.create_task(lifecycle(), name=f"mcp-client:{name}")
async with self._runtime_lock:
self._mcp_server_runtime[name] = _MCPServerRuntime(
name=name,
client=mcp_client,
shutdown_event=shutdown_event,
lifecycle_task=lifecycle_task,
)
self._mcp_starting.discard(name)
async def _shutdown_runtimes(
self,
runtimes: list[_MCPServerRuntime],
timeout: float,
*,
strict: bool = True,
) -> list[str]:
"""Shutdown runtimes and wait for lifecycle tasks to complete."""
lifecycle_tasks = [
runtime.lifecycle_task
for runtime in runtimes
if not runtime.lifecycle_task.done()
]
if not lifecycle_tasks:
return []
for runtime in runtimes:
runtime.shutdown_event.set()
try:
results = await asyncio.wait_for(
asyncio.gather(*lifecycle_tasks, return_exceptions=True),
timeout=timeout,
)
except asyncio.TimeoutError:
pending_names = [
runtime.name
for runtime in runtimes
if not runtime.lifecycle_task.done()
]
for task in lifecycle_tasks:
if not task.done():
task.cancel()
await asyncio.gather(*lifecycle_tasks, return_exceptions=True)
if strict:
raise MCPShutdownTimeoutError(pending_names, timeout)
logger.warning(
"MCP server shutdown timeout (%s seconds), the following servers were not fully closed: %s",
f"{timeout:g}",
", ".join(pending_names),
)
return pending_names
else:
for result in results:
if isinstance(result, asyncio.CancelledError):
logger.debug("MCP lifecycle task was cancelled during shutdown.")
elif isinstance(result, Exception):
logger.error(
"MCP lifecycle task failed during shutdown.",
exc_info=(type(result), result, result.__traceback__),
)
return []
async def _cleanup_mcp_client_safely(
self, mcp_client: MCPClient, name: str
) -> None:
"""安全清理单个 MCP 客户端,避免清理异常中断主流程。"""
try:
await mcp_client.cleanup()
except Exception as cleanup_exc: # noqa: BLE001 - only log here
logger.error(
f"Failed to cleanup MCP client resources {name}: {cleanup_exc}"
)
async def _init_mcp_client(self, name: str, config: dict) -> MCPClient:
async def _init_mcp_client(self, name: str, config: dict) -> None:
"""初始化单个MCP客户端"""
# 先清理之前的客户端,如果存在
if name in self.mcp_client_dict:
await self._terminate_mcp_client(name)
mcp_client = MCPClient()
mcp_client.name = name
try:
await mcp_client.connect_to_server(config, name)
tools_res = await mcp_client.list_tools_and_save()
except asyncio.CancelledError:
await self._cleanup_mcp_client_safely(mcp_client, name)
raise
except Exception:
await self._cleanup_mcp_client_safely(mcp_client, name)
raise
self.mcp_client_dict[name] = mcp_client
await mcp_client.connect_to_server(config, name)
tools_res = await mcp_client.list_tools_and_save()
logger.debug(f"MCP server {name} list tools response: {tools_res}")
tool_names = [tool.name for tool in tools_res.tools]
@@ -608,37 +275,27 @@ class FunctionToolManager:
)
self.func_list.append(func_tool)
logger.info(f"Connected to MCP server {name}, Tools: {tool_names}")
return mcp_client
logger.info(f"已连接 MCP 服务 {name}, Tools: {tool_names}")
async def _terminate_mcp_client(self, name: str) -> None:
"""关闭并清理MCP客户端"""
async with self._runtime_lock:
runtime = self._mcp_server_runtime.get(name)
if runtime:
client = runtime.client
# 关闭MCP连接
await self._cleanup_mcp_client_safely(client, name)
# 移除关联的FuncTool
self.func_list = [
f
for f in self.func_list
if not (isinstance(f, MCPTool) and f.mcp_server_name == name)
]
async with self._runtime_lock:
self._mcp_server_runtime.pop(name, None)
self._mcp_starting.discard(name)
logger.info(f"Disconnected from MCP server {name}")
return
# Runtime missing but stale tools may still exist after failed flows.
self.func_list = [
f
for f in self.func_list
if not (isinstance(f, MCPTool) and f.mcp_server_name == name)
]
async with self._runtime_lock:
self._mcp_starting.discard(name)
if name in self.mcp_client_dict:
client = self.mcp_client_dict[name]
try:
# 关闭MCP连接
await client.cleanup()
except Exception as e:
logger.error(f"清空 MCP 客户端资源 {name}: {e}")
finally:
# Remove client from dict after cleanup attempt (successful or not)
self.mcp_client_dict.pop(name, None)
# 移除关联的FuncTool
self.func_list = [
f
for f in self.func_list
if not (isinstance(f, MCPTool) and f.mcp_server_name == name)
]
logger.info(f"已关闭 MCP 服务 {name}")
@staticmethod
async def test_mcp_server_connection(config: dict) -> list[str]:
@@ -662,36 +319,42 @@ class FunctionToolManager:
self,
name: str,
config: dict,
shutdown_event: asyncio.Event | None = None,
timeout: float | int | str | None = None,
event: asyncio.Event | None = None,
ready_future: asyncio.Future | None = None,
timeout: int = 30,
) -> None:
"""Enable a new MCP server and initialize it.
"""Enable_mcp_server a new MCP server to the manager and initialize it.
Args:
name: The name of the MCP server.
config: Configuration for the MCP server.
shutdown_event: Event to signal when the MCP client should shut down.
timeout: Timeout in seconds for initialization.
Uses ASTRBOT_MCP_ENABLE_TIMEOUT by default (separate from init timeout).
name (str): The name of the MCP server.
config (dict): Configuration for the MCP server.
event (asyncio.Event): Event to signal when the MCP client is ready.
ready_future (asyncio.Future): Future to signal when the MCP client is ready.
timeout (int): Timeout for the initialization.
Raises:
MCPInitTimeoutError: If initialization does not complete within timeout.
TimeoutError: If the initialization does not complete within the specified timeout.
Exception: If there is an error during initialization.
"""
if timeout is None:
timeout_value = self._enable_timeout_default
else:
timeout_value = _resolve_timeout(
timeout=timeout,
env_name=ENABLE_MCP_TIMEOUT_ENV,
default=self._enable_timeout_default,
)
await self._start_mcp_server(
name=name,
cfg=config,
shutdown_event=shutdown_event,
timeout=timeout_value,
if not event:
event = asyncio.Event()
if not ready_future:
ready_future = asyncio.Future()
if name in self.mcp_client_dict:
return
asyncio.create_task(
self._init_mcp_client_task_wrapper(name, config, event, ready_future),
)
try:
await asyncio.wait_for(ready_future, timeout=timeout)
finally:
self.mcp_client_event[name] = event
if ready_future.done() and ready_future.exception():
exc = ready_future.exception()
if exc is not None:
raise exc
async def disable_mcp_server(
self,
@@ -704,40 +367,39 @@ class FunctionToolManager:
name (str): The name of the MCP server to disable. If None, ALL MCP servers will be disabled.
timeout (int): Timeout.
Raises:
MCPShutdownTimeoutError: If shutdown does not complete within timeout.
Only raised when disabling a specific server (name is not None).
"""
if name:
async with self._runtime_lock:
runtime = self._mcp_server_runtime.get(name)
if runtime is None:
if name not in self.mcp_client_event:
return
await self._shutdown_runtimes([runtime], timeout, strict=True)
client = self.mcp_client_dict.get(name)
self.mcp_client_event[name].set()
if not client:
return
client_running_event = client.running_event
try:
await asyncio.wait_for(client_running_event.wait(), timeout=timeout)
finally:
self.mcp_client_event.pop(name, None)
self.func_list = [
f
for f in self.func_list
if not (isinstance(f, MCPTool) and f.mcp_server_name == name)
]
else:
async with self._runtime_lock:
runtimes = list(self._mcp_server_runtime.values())
await self._shutdown_runtimes(runtimes, timeout, strict=False)
def _warn_on_timeout_mismatch(
self,
init_timeout: float,
enable_timeout: float,
) -> None:
if init_timeout == enable_timeout:
return
with self._timeout_warn_lock:
if self._timeout_mismatch_warned:
return
logger.info(
"检测到 MCP 初始化超时与动态启用超时配置不同:"
"初始化使用 %s 秒,动态启用使用 %s 秒。如需一致,请设置相同值。",
f"{init_timeout:g}",
f"{enable_timeout:g}",
)
self._timeout_mismatch_warned = True
running_events = [
client.running_event.wait() for client in self.mcp_client_dict.values()
]
for key, event in self.mcp_client_event.items():
event.set()
# waiting for all clients to finish
try:
await asyncio.wait_for(asyncio.gather(*running_events), timeout=timeout)
finally:
self.mcp_client_event.clear()
self.mcp_client_dict.clear()
self.func_list = [
f for f in self.func_list if not isinstance(f, MCPTool)
]
def get_func_desc_openai_style(self, omit_empty_parameter_field=False) -> list:
"""获得 OpenAI API 风格的**已经激活**的工具描述"""
+2 -21
View File
@@ -79,7 +79,6 @@ class ProviderManager:
self._provider_change_hooks: list[
Callable[[str, ProviderType, str | None], None]
] = []
self._mcp_init_task: asyncio.Task | None = None
def set_provider_change_callback(
self,
@@ -331,17 +330,8 @@ class ProviderManager:
if not self.curr_tts_provider_inst and self.tts_provider_insts:
self.curr_tts_provider_inst = self.tts_provider_insts[0]
async def _init_mcp_clients_bg() -> None:
try:
await self.llm_tools.init_mcp_clients()
except Exception:
logger.error("MCP init background task failed", exc_info=True)
if self._mcp_init_task is None or self._mcp_init_task.done():
self._mcp_init_task = asyncio.create_task(
_init_mcp_clients_bg(),
name="provider-manager:mcp-init",
)
# 初始化 MCP Client 连接
asyncio.create_task(self.llm_tools.init_mcp_clients(), name="init_mcp_clients")
def dynamic_import_provider(self, type: str) -> None:
"""动态导入提供商适配器模块
@@ -808,17 +798,8 @@ class ProviderManager:
config.save_config()
# load instance
await self.load_provider(new_config)
# sync in-memory config for API queries (e.g., embedding provider list)
self.providers_config = astrbot_config["provider"]
async def terminate(self) -> None:
if self._mcp_init_task and not self._mcp_init_task.done():
self._mcp_init_task.cancel()
try:
await self._mcp_init_task
except asyncio.CancelledError:
pass
for provider_inst in self.provider_insts:
if hasattr(provider_inst, "terminate"):
await provider_inst.terminate() # type: ignore
+1 -18
View File
@@ -281,24 +281,7 @@ class TTSProvider(AbstractProvider):
accumulated_text += text_part
async def test(self) -> None:
audio_path = await self.get_audio("hi")
# 检查生成的音频文件是否有效
if not os.path.exists(audio_path):
raise Exception("TTS test failed: audio file was not created")
file_size = os.path.getsize(audio_path)
if file_size == 0:
raise Exception(
"TTS test failed: generated audio file is empty (0 bytes). "
"Please check your TTS provider configuration, especially required parameters like group_id for MiniMax."
)
# 清理测试文件
try:
os.remove(audio_path)
except Exception:
pass
await self.get_audio("hi")
class EmbeddingProvider(AbstractProvider):
@@ -276,24 +276,9 @@ class ProviderAnthropic(Provider):
llm_response.id = completion.id
llm_response.usage = self._extract_usage(completion.usage)
# Handle cases where completion only contains ThinkingBlock (e.g., MiniMax max_tokens)
# When stop_reason='max_tokens', the model may return only thinking content
# This is valid and should not raise an exception
# TODO(Soulter): 处理 end_turn 情况
if not llm_response.completion_text and not llm_response.tools_call_args:
# Guard clause: raise early if no valid content at all
if not llm_response.reasoning_content:
raise ValueError(
f"Anthropic API returned unparsable completion: "
f"no text, tool_use, or thinking content found. "
f"Completion: {completion}"
)
# We have reasoning content (ThinkingBlock) - this is valid
stop_reason = getattr(completion, "stop_reason", "unknown")
logger.debug(
f"Completion contains only ThinkingBlock (stop_reason={stop_reason})"
)
llm_response.completion_text = "" # Ensure empty string, not None
raise Exception(f"Anthropic API 返回的 completion 无法解析:{completion}")
return llm_response
@@ -20,7 +20,6 @@ from ..register import register_provider_adapter
TEMP_DIR = Path(get_astrbot_temp_path()) / "azure_tts"
TEMP_DIR.mkdir(parents=True, exist_ok=True)
AZURE_TTS_SUBSCRIPTION_KEY_PATTERN = r"^(?:[a-zA-Z0-9]{32}|[a-zA-Z0-9]{84})$"
class OTTSProvider:
@@ -117,7 +116,7 @@ class AzureNativeProvider(TTSProvider):
"azure_tts_subscription_key",
"",
).strip()
if not re.fullmatch(AZURE_TTS_SUBSCRIPTION_KEY_PATTERN, self.subscription_key):
if not re.fullmatch(r"^[a-zA-Z0-9]{32}$", self.subscription_key):
raise ValueError("无效的Azure订阅密钥")
self.region = provider_config.get("azure_tts_region", "eastus").strip()
self.endpoint = (
@@ -236,9 +235,9 @@ class AzureTTSProvider(TTSProvider):
raise ValueError(error_msg) from e
except KeyError as e:
raise ValueError(f"配置错误: 缺少必要参数 {e}") from e
if re.fullmatch(AZURE_TTS_SUBSCRIPTION_KEY_PATTERN, key_value):
if re.fullmatch(r"^[a-zA-Z0-9]{32}$", key_value):
return AzureNativeProvider(config, self.provider_settings)
raise ValueError("订阅密钥格式无效,应为32位或84位字母数字或other[...]格式")
raise ValueError("订阅密钥格式无效,应为32位字母数字或other[...]格式")
async def get_audio(self, text: str) -> str:
if isinstance(self.provider, OTTSProvider):
@@ -87,7 +87,7 @@ class ProviderDashscopeTTSAPI(TTSProvider):
model: str,
text: str,
) -> tuple[bytes | None, str]:
loop = asyncio.get_running_loop()
loop = asyncio.get_event_loop()
response = await loop.run_in_executor(None, self._call_qwen_tts, model, text)
audio_bytes = await self._extract_audio_from_response(response)
if not audio_bytes:
@@ -143,7 +143,7 @@ class ProviderDashscopeTTSAPI(TTSProvider):
voice=self.voice,
format=AudioFormat.WAV_24000HZ_MONO_16BIT,
)
loop = asyncio.get_running_loop()
loop = asyncio.get_event_loop()
audio_bytes = await loop.run_in_executor(
None,
synthesizer.call,
+2 -2
View File
@@ -59,7 +59,7 @@ class GenieTTSProvider(TTSProvider):
filename = f"genie_tts_{uuid.uuid4()}.wav"
path = os.path.join(temp_dir, filename)
loop = asyncio.get_running_loop()
loop = asyncio.get_event_loop()
def _generate(save_path: str) -> None:
assert genie is not None
@@ -85,7 +85,7 @@ class GenieTTSProvider(TTSProvider):
text_queue: asyncio.Queue[str | None],
audio_queue: "asyncio.Queue[bytes | tuple[str, bytes] | None]",
) -> None:
loop = asyncio.get_running_loop()
loop = asyncio.get_event_loop()
while True:
text = await text_queue.get()
@@ -13,11 +13,3 @@ class ProviderGroq(ProviderOpenAIOfficial):
) -> None:
super().__init__(provider_config, provider_settings)
self.reasoning_key = "reasoning"
def _finally_convert_payload(self, payloads: dict) -> None:
"""Groq rejects assistant history items that include reasoning_content."""
super()._finally_convert_payload(payloads)
for message in payloads.get("messages", []):
if message.get("role") == "assistant":
message.pop("reasoning_content", None)
message.pop("reasoning", None)
@@ -154,14 +154,6 @@ class ProviderMiniMaxTTSAPI(TTSProvider):
audio_stream = self._call_tts_stream(text)
audio = await self._audio_play(audio_stream)
# 检查音频数据是否为空
if not audio or len(audio) == 0:
raise Exception(
"MiniMax TTS API returned empty audio data. "
"Please verify your configuration, especially the 'group_id' parameter. "
"You can find your group_id in Account Management -> Basic Information on the MiniMax platform."
)
# 结果保存至文件
with open(path, "wb") as file:
file.write(audio)
@@ -169,4 +161,4 @@ class ProviderMiniMaxTTSAPI(TTSProvider):
return path
except aiohttp.ClientError as e:
raise Exception(f"MiniMax TTS API request failed: {e!s}")
raise e
@@ -40,46 +40,25 @@ class OpenAIEmbeddingProvider(EmbeddingProvider):
async def get_embedding(self, text: str) -> list[float]:
"""获取文本的嵌入"""
kwargs = self._embedding_kwargs()
embedding = await self.client.embeddings.create(
input=text,
model=self.model,
**kwargs,
dimensions=self.get_dim(),
)
return embedding.data[0].embedding
async def get_embeddings(self, text: list[str]) -> list[list[float]]:
"""批量获取文本的嵌入"""
kwargs = self._embedding_kwargs()
embeddings = await self.client.embeddings.create(
input=text,
model=self.model,
**kwargs,
dimensions=self.get_dim(),
)
return [item.embedding for item in embeddings.data]
def _embedding_kwargs(self) -> dict:
"""构建嵌入请求的可选参数"""
kwargs = {}
if "embedding_dimensions" in self.provider_config:
try:
kwargs["dimensions"] = int(self.provider_config["embedding_dimensions"])
except (ValueError, TypeError):
logger.warning(
f"embedding_dimensions in embedding configs is not a valid integer: '{self.provider_config['embedding_dimensions']}', ignored."
)
return kwargs
def get_dim(self) -> int:
"""获取向量的维度"""
if "embedding_dimensions" in self.provider_config:
try:
return int(self.provider_config["embedding_dimensions"])
except (ValueError, TypeError):
logger.warning(
f"embedding_dimensions in embedding configs is not a valid integer: '{self.provider_config['embedding_dimensions']}', ignored."
)
return 0
return int(self.provider_config.get("embedding_dimensions", 1024))
async def terminate(self):
if self.client:
@@ -311,7 +311,7 @@ class ProviderOpenAIOfficial(Provider):
state.handle_chunk(chunk)
except Exception as e:
logger.warning("Saving chunk state error: " + str(e))
if not chunk.choices:
if len(chunk.choices) == 0:
continue
delta = chunk.choices[0].delta
# logger.debug(f"chunk delta: {delta}")
@@ -322,7 +322,7 @@ class ProviderOpenAIOfficial(Provider):
if reasoning:
llm_response.reasoning_content = reasoning
_y = True
if delta and delta.content:
if delta.content:
# Don't strip streaming chunks to preserve spaces between words
completion_text = self._normalize_content(delta.content, strip=False)
llm_response.result_chain = MessageChain(
@@ -345,7 +345,7 @@ class ProviderOpenAIOfficial(Provider):
) -> str:
"""Extract reasoning content from OpenAI ChatCompletion if available."""
reasoning_text = ""
if not completion.choices:
if len(completion.choices) == 0:
return reasoning_text
if isinstance(completion, ChatCompletion):
choice = completion.choices[0]
@@ -468,7 +468,7 @@ class ProviderOpenAIOfficial(Provider):
"""Parse OpenAI ChatCompletion into LLMResponse"""
llm_response = LLMResponse("assistant")
if not completion.choices:
if len(completion.choices) == 0:
raise Exception("API 返回的 completion 为空。")
choice = completion.choices[0]
@@ -629,8 +629,7 @@ class ProviderOpenAIOfficial(Provider):
# 最后一次不等待
if retry_cnt < max_retries - 1:
await asyncio.sleep(1)
if chosen_key in available_api_keys:
available_api_keys.remove(chosen_key)
available_api_keys.remove(chosen_key)
if len(available_api_keys) > 0:
chosen_key = random.choice(available_api_keys)
return (
@@ -16,7 +16,4 @@ class ProviderOpenRouter(ProviderOpenAIOfficial):
self.client._custom_headers["HTTP-Referer"] = ( # type: ignore
"https://github.com/AstrBotDevs/AstrBot"
)
self.client._custom_headers["X-OpenRouter-Title"] = "AstrBot" # type: ignore
self.client._custom_headers["X-OpenRouter-Categories"] = (
"general-chat,personal-agent" # type: ignore
)
self.client._custom_headers["X-TITLE"] = "AstrBot" # type: ignore
@@ -43,7 +43,7 @@ class ProviderSenseVoiceSTTSelfHost(STTProvider):
logger.info("下载或者加载 SenseVoice 模型中,这可能需要一些时间 ...")
# 将模型加载放到线程池中执行
self.model = await asyncio.get_running_loop().run_in_executor(
self.model = await asyncio.get_event_loop().run_in_executor(
None,
lambda: SenseVoiceSmall(self.model_name, quantize=True, batch_size=16),
)
@@ -88,7 +88,7 @@ class ProviderSenseVoiceSTTSelfHost(STTProvider):
audio_url = output_path
# 使用 run_in_executor 来调用模型进行识别
loop = asyncio.get_running_loop()
loop = asyncio.get_event_loop()
res = await loop.run_in_executor(
None, # 使用默认的线程池
lambda: cast(SenseVoiceSmall, self.model)(
@@ -31,7 +31,7 @@ class ProviderOpenAIWhisperSelfHost(STTProvider):
self.model = None
async def initialize(self) -> None:
loop = asyncio.get_running_loop()
loop = asyncio.get_event_loop()
logger.info("下载或者加载 Whisper 模型中,这可能需要一些时间 ...")
self.model = await loop.run_in_executor(
None,
@@ -50,7 +50,7 @@ class ProviderOpenAIWhisperSelfHost(STTProvider):
return False
async def get_text(self, audio_url: str) -> str:
loop = asyncio.get_running_loop()
loop = asyncio.get_event_loop()
is_tencent = False
-372
View File
@@ -1,372 +0,0 @@
from __future__ import annotations
import hashlib
import json
import os
import re
from dataclasses import dataclass
from datetime import datetime, timezone
from pathlib import Path
from typing import Any
from astrbot.core.computer.computer_client import sync_skills_to_active_sandboxes
from astrbot.core.skills.skill_manager import SkillManager
from astrbot.core.utils.astrbot_path import get_astrbot_skills_path
_MAP_VERSION = 1
_MAP_FILE_NAME = "neo_skill_map.json"
_SKILL_NAME_RE = re.compile(r"[^a-zA-Z0-9._-]+")
def _now_iso() -> str:
return datetime.now(timezone.utc).isoformat()
def _to_jsonable(model_like: Any) -> dict[str, Any]:
if isinstance(model_like, dict):
return model_like
if hasattr(model_like, "model_dump"):
dumped = model_like.model_dump()
if isinstance(dumped, dict):
return dumped
return {}
def _parse_frontmatter(text: str) -> tuple[dict[str, str], str]:
if not text.startswith("---"):
return {}, text
lines = text.splitlines()
if not lines or lines[0].strip() != "---":
return {}, text
end_idx = None
for i in range(1, len(lines)):
if lines[i].strip() == "---":
end_idx = i
break
if end_idx is None:
return {}, text
data: dict[str, str] = {}
for line in lines[1:end_idx]:
if ":" not in line:
continue
key, value = line.split(":", 1)
key = key.strip().lower()
value = value.strip().strip('"').strip("'")
if key in {"name", "description"} and value:
data[key] = value
body = "\n".join(lines[end_idx + 1 :]).lstrip("\n")
return data, body
def _derive_description(markdown_body: str) -> str:
lines = markdown_body.splitlines()
heading_idx = None
for i, line in enumerate(lines):
normalized = line.strip().lower()
if normalized in {"## 描述", "## description"}:
heading_idx = i
break
if heading_idx is not None:
for line in lines[heading_idx + 1 :]:
text = line.strip()
if not text:
continue
if text.startswith("#"):
break
return text
for line in lines:
text = line.strip()
if not text or text.startswith("#"):
continue
return text
return ""
def _ensure_skill_frontmatter(markdown: str, *, skill_name: str, skill_key: str) -> str:
frontmatter, body = _parse_frontmatter(markdown)
name = frontmatter.get("name") or skill_name
name = " ".join(str(name).split())
description = frontmatter.get("description") or _derive_description(body)
if not description:
description = f"Synced skill for `{skill_key}`."
description = " ".join(description.split())
header = f"---\nname: {name}\ndescription: {description}\n---\n\n"
body = body.strip("\n")
return f"{header}{body}\n"
@dataclass
class NeoSkillSyncResult:
skill_key: str
local_skill_name: str
release_id: str
candidate_id: str
payload_ref: str
map_path: str
synced_at: str
class NeoSkillSyncManager:
@staticmethod
def sync_result_to_dict(result: NeoSkillSyncResult) -> dict[str, str]:
return {
"skill_key": result.skill_key,
"local_skill_name": result.local_skill_name,
"release_id": result.release_id,
"candidate_id": result.candidate_id,
"payload_ref": result.payload_ref,
"map_path": result.map_path,
"synced_at": result.synced_at,
}
def __init__(
self,
*,
skills_root: str | None = None,
map_path: str | None = None,
) -> None:
self.skills_root = skills_root or get_astrbot_skills_path()
self.map_path = map_path or str(Path(self.skills_root) / _MAP_FILE_NAME)
os.makedirs(self.skills_root, exist_ok=True)
def _load_map(self) -> dict[str, Any]:
if not os.path.exists(self.map_path):
return {"version": _MAP_VERSION, "items": {}}
try:
with open(self.map_path, encoding="utf-8") as f:
data = json.load(f)
if not isinstance(data, dict):
return {"version": _MAP_VERSION, "items": {}}
items = data.get("items", {})
if not isinstance(items, dict):
items = {}
return {"version": int(data.get("version", _MAP_VERSION)), "items": items}
except Exception:
return {"version": _MAP_VERSION, "items": {}}
def _save_map(self, data: dict[str, Any]) -> None:
os.makedirs(os.path.dirname(self.map_path), exist_ok=True)
with open(self.map_path, "w", encoding="utf-8") as f:
json.dump(data, f, ensure_ascii=False, indent=2)
@staticmethod
def normalize_skill_name(skill_key: str) -> str:
normalized = _SKILL_NAME_RE.sub("-", skill_key.strip().lower())
normalized = normalized.strip("._-")
if not normalized:
normalized = "skill"
return f"neo_{normalized}"
def _resolve_local_skill_name(self, skill_key: str, mapping: dict[str, Any]) -> str:
items = mapping.get("items", {})
if not isinstance(items, dict):
items = {}
existing = items.get(skill_key)
if isinstance(existing, dict):
local_name = existing.get("local_skill_name")
if isinstance(local_name, str) and local_name:
return local_name
base = self.normalize_skill_name(skill_key)
used_names = {
str(v.get("local_skill_name"))
for v in items.values()
if isinstance(v, dict) and v.get("local_skill_name")
}
if base not in used_names:
return base
suffix = hashlib.sha1(skill_key.encode("utf-8")).hexdigest()[:8]
return f"{base}-{suffix}"
async def _find_release(self, client: Any, *, release_id: str) -> dict[str, Any]:
offset = 0
while True:
page = await client.skills.list_releases(limit=100, offset=offset)
page_json = _to_jsonable(page)
items = page_json.get("items", [])
if not isinstance(items, list):
items = []
for item in items:
if isinstance(item, dict) and item.get("id") == release_id:
return item
total = int(page_json.get("total", 0) or 0)
offset += len(items)
if offset >= total or not items:
break
raise ValueError(f"Release not found: {release_id}")
async def _find_active_stable_release(
self,
client: Any,
*,
skill_key: str,
) -> dict[str, Any]:
page = await client.skills.list_releases(
skill_key=skill_key,
active_only=True,
stage="stable",
limit=1,
offset=0,
)
page_json = _to_jsonable(page)
items = page_json.get("items", [])
if not isinstance(items, list) or not items:
raise ValueError(
f"No active stable release found for skill_key: {skill_key}"
)
if not isinstance(items[0], dict):
raise ValueError("Unexpected release payload format.")
return items[0]
async def sync_release(
self,
client: Any,
*,
release_id: str | None = None,
skill_key: str | None = None,
require_stable: bool = True,
) -> NeoSkillSyncResult:
if release_id:
release = await self._find_release(client, release_id=release_id)
elif skill_key:
release = await self._find_active_stable_release(
client, skill_key=skill_key
)
else:
raise ValueError("release_id or skill_key is required for sync.")
release_id_val = str(release.get("id") or "")
release_stage_raw = release.get("stage")
release_stage_value = getattr(release_stage_raw, "value", release_stage_raw)
release_stage = str(release_stage_value or "").strip().lower()
skill_key_val = str(release.get("skill_key") or "")
candidate_id = str(release.get("candidate_id") or "")
if not release_id_val or not skill_key_val or not candidate_id:
raise ValueError("Release payload is incomplete.")
if require_stable and release_stage != "stable":
raise ValueError(
"Only stable releases can be synced to local SKILL.md "
f"(got: {release_stage_raw})."
)
candidate = await client.skills.get_candidate(candidate_id)
candidate_json = _to_jsonable(candidate)
payload_ref = candidate_json.get("payload_ref")
if not isinstance(payload_ref, str) or not payload_ref:
raise ValueError("Candidate payload_ref is missing.")
payload_resp = await client.skills.get_payload(payload_ref)
payload_json = _to_jsonable(payload_resp)
payload = payload_json.get("payload")
if not isinstance(payload, dict):
raise ValueError("Skill payload must be a JSON object.")
skill_markdown = payload.get("skill_markdown")
if not isinstance(skill_markdown, str) or not skill_markdown.strip():
raise ValueError(
"payload.skill_markdown is required for stable sync to local skill."
)
mapping = self._load_map()
local_skill_name = self._resolve_local_skill_name(skill_key_val, mapping)
skill_dir = Path(self.skills_root) / local_skill_name
skill_dir.mkdir(parents=True, exist_ok=True)
normalized_markdown = _ensure_skill_frontmatter(
skill_markdown,
skill_name=local_skill_name,
skill_key=skill_key_val,
)
skill_md_path = skill_dir / "SKILL.md"
skill_md_path.write_text(normalized_markdown, encoding="utf-8")
items = mapping.setdefault("items", {})
items[skill_key_val] = {
"local_skill_name": local_skill_name,
"latest_release_id": release_id_val,
"latest_candidate_id": candidate_id,
"latest_payload_ref": payload_ref,
"updated_at": _now_iso(),
}
mapping["version"] = _MAP_VERSION
self._save_map(mapping)
# Ensure local skill is visible to AstrBot skill manager.
SkillManager().set_skill_active(local_skill_name, True)
# Best-effort synchronization to active sandboxes.
await sync_skills_to_active_sandboxes()
return NeoSkillSyncResult(
skill_key=skill_key_val,
local_skill_name=local_skill_name,
release_id=release_id_val,
candidate_id=candidate_id,
payload_ref=payload_ref,
map_path=self.map_path,
synced_at=_now_iso(),
)
async def promote_with_optional_sync(
self,
client: Any,
*,
candidate_id: str,
stage: str,
sync_to_local: bool,
) -> dict[str, Any]:
release = await client.skills.promote_candidate(candidate_id, stage=stage)
release_json = _to_jsonable(release)
sync_json: dict[str, Any] | None = None
rollback_json: dict[str, Any] | None = None
sync_error: str | None = None
if stage == "stable" and sync_to_local:
try:
sync_result = await self.sync_release(
client,
release_id=str(release_json.get("id", "")),
require_stable=True,
)
sync_json = self.sync_result_to_dict(sync_result)
except Exception as err:
sync_error = str(err)
try:
rollback = await client.skills.rollback_release(
str(release_json.get("id", ""))
)
rollback_json = _to_jsonable(rollback)
except Exception as rollback_err:
rollback_msg = str(rollback_err)
if "no previous release exists" in rollback_msg.lower():
rollback_json = {
"skipped": True,
"reason": rollback_msg,
}
else:
raise RuntimeError(
"stable release synced failed and auto rollback also failed; "
f"sync_error={sync_error}; rollback_error={rollback_err}"
) from rollback_err
return {
"release": release_json,
"sync": sync_json,
"rollback": rollback_json,
"sync_error": sync_error,
}
+46 -357
View File
@@ -3,16 +3,12 @@ from __future__ import annotations
import json
import os
import re
import shlex
import shutil
import tempfile
import zipfile
from dataclasses import dataclass
from datetime import datetime, timezone
from pathlib import Path, PurePosixPath
import yaml
from astrbot.core.utils.astrbot_path import (
get_astrbot_data_path,
get_astrbot_skills_path,
@@ -20,45 +16,22 @@ from astrbot.core.utils.astrbot_path import (
)
SKILLS_CONFIG_FILENAME = "skills.json"
SANDBOX_SKILLS_CACHE_FILENAME = "sandbox_skills_cache.json"
DEFAULT_SKILLS_CONFIG: dict[str, dict] = {"skills": {}}
# SANDBOX_SKILLS_ROOT = "/home/shared/skills"
SANDBOX_SKILLS_ROOT = "skills"
SANDBOX_WORKSPACE_ROOT = "/workspace"
_SANDBOX_SKILLS_CACHE_VERSION = 1
_SKILL_NAME_RE = re.compile(r"^[A-Za-z0-9._-]+$")
def _is_ignored_zip_entry(name: str) -> bool:
parts = PurePosixPath(name).parts
if not parts:
return True
return parts[0] == "__MACOSX"
@dataclass
class SkillInfo:
name: str
description: str
path: str
active: bool
source_type: str = "local_only"
source_label: str = "local"
local_exists: bool = True
sandbox_exists: bool = False
def _parse_frontmatter_description(text: str) -> str:
"""Extract the ``description`` value from YAML frontmatter.
Expects the standard SKILL.md format used by OpenAI Codex CLI and
Anthropic Claude Skills::
---
name: my-skill
description: What this skill does and when to use it.
---
"""
if not text.startswith("---"):
return ""
lines = text.splitlines()
@@ -71,163 +44,54 @@ def _parse_frontmatter_description(text: str) -> str:
break
if end_idx is None:
return ""
frontmatter = "\n".join(lines[1:end_idx])
try:
payload = yaml.safe_load(frontmatter) or {}
except yaml.YAMLError:
return ""
if not isinstance(payload, dict):
return ""
description = payload.get("description", "")
if not isinstance(description, str):
return ""
return description.strip()
# Regex for sanitizing paths used in prompt examples — only allow
# safe path characters to prevent prompt injection via crafted skill paths.
_SAFE_PATH_RE = re.compile(r"[^\w./ ,()'\-]", re.UNICODE)
_WINDOWS_DRIVE_PATH_RE = re.compile(r"^[A-Za-z]:(?:/|\\)")
_WINDOWS_UNC_PATH_RE = re.compile(r"^(//|\\\\)[^/\\]+[/\\][^/\\]+")
_CONTROL_CHARS_RE = re.compile(r"[\x00-\x1F\x7F]")
def _is_windows_prompt_path(path: str) -> bool:
if os.name != "nt":
return False
return bool(_WINDOWS_DRIVE_PATH_RE.match(path) or _WINDOWS_UNC_PATH_RE.match(path))
def _sanitize_prompt_path_for_prompt(path: str) -> str:
if not path:
return ""
if _WINDOWS_DRIVE_PATH_RE.match(path) or _WINDOWS_UNC_PATH_RE.match(path):
path = path.replace("\\", "/")
drive_prefix = ""
if _WINDOWS_DRIVE_PATH_RE.match(path):
drive_prefix = path[:2]
path = path[2:]
path = path.replace("`", "")
path = _CONTROL_CHARS_RE.sub("", path)
sanitized = _SAFE_PATH_RE.sub("", path)
return f"{drive_prefix}{sanitized}"
def _sanitize_prompt_description(description: str) -> str:
description = description.replace("`", "")
description = _CONTROL_CHARS_RE.sub(" ", description)
description = " ".join(description.split())
return description
def _sanitize_skill_display_name(name: str) -> str:
if _SKILL_NAME_RE.fullmatch(name):
return name
return "<invalid_skill_name>"
def _build_skill_read_command_example(path: str) -> str:
if path == "<skills_root>/<skill_name>/SKILL.md":
return f"cat {path}"
if _is_windows_prompt_path(path):
command = "type"
path_arg = f'"{os.path.normpath(path)}"'
else:
command = "cat"
path_arg = shlex.quote(path)
return f"{command} {path_arg}"
for line in lines[1:end_idx]:
if ":" not in line:
continue
key, value = line.split(":", 1)
if key.strip().lower() == "description":
return value.strip().strip('"').strip("'")
return ""
def build_skills_prompt(skills: list[SkillInfo]) -> str:
"""Build the skills section of the system prompt.
Generates a markdown-formatted skill inventory for the LLM. Only
``name`` and ``description`` are shown upfront; the LLM must read
the full ``SKILL.md`` before execution (progressive disclosure).
"""
skills_lines: list[str] = []
example_path = ""
skills_lines = []
for skill in skills:
display_name = _sanitize_skill_display_name(skill.name)
description = skill.description or "No description"
if skill.source_type == "sandbox_only":
description = _sanitize_prompt_description(description)
if not description:
description = "Read SKILL.md for details."
if skill.source_type == "sandbox_only":
rendered_path = (
f"{str(SANDBOX_WORKSPACE_ROOT)}/{str(SANDBOX_SKILLS_ROOT)}/"
f"{display_name}/SKILL.md"
)
else:
rendered_path = _sanitize_prompt_path_for_prompt(skill.path)
if not rendered_path:
rendered_path = "<skills_root>/<skill_name>/SKILL.md"
skills_lines.append(
f"- **{display_name}**: {description}\n File: `{rendered_path}`"
)
if not example_path:
example_path = rendered_path
skills_lines.append(f"- {skill.name}: {description} (file: {skill.path})")
skills_block = "\n".join(skills_lines)
# Sanitize example_path — it may originate from sandbox cache (untrusted)
if example_path == "<skills_root>/<skill_name>/SKILL.md":
example_path = "<skills_root>/<skill_name>/SKILL.md"
else:
example_path = _sanitize_prompt_path_for_prompt(example_path)
example_path = example_path or "<skills_root>/<skill_name>/SKILL.md"
example_command = _build_skill_read_command_example(example_path)
# Based on openai/codex
return (
"## Skills\n\n"
"You have specialized skills — reusable instruction bundles stored "
"in `SKILL.md` files. Each skill has a **name** and a **description** "
"that tells you what it does and when to use it.\n\n"
"### Available skills\n\n"
f"{skills_block}\n\n"
"### Skill rules\n\n"
"1. **Discovery** — The list above is the complete skill inventory "
"for this session. Full instructions are in the referenced "
"`SKILL.md` file.\n"
"2. **When to trigger** — Use a skill if the user names it "
"explicitly, or if the task clearly matches the skill's description. "
"*Never silently skip a matching skill* — either use it or briefly "
"explain why you chose not to.\n"
"3. **Mandatory grounding** — Before executing any skill you MUST "
"first read its `SKILL.md` by running a shell command compatible "
"with the current runtime shell and using the **absolute path** "
f"shown above (e.g. `{example_command}`). "
"Never rely on memory or assumptions about a skill's content.\n"
"4. **Progressive disclosure** — Load only what is directly "
"referenced from `SKILL.md`:\n"
" - If `scripts/` exist, prefer running or patching them over "
"rewriting code from scratch.\n"
" - If `assets/` or templates exist, reuse them.\n"
" - Do NOT bulk-load every file in the skill directory.\n"
"5. **Coordination** — When multiple skills apply, pick the minimal "
"set needed. Announce which skill(s) you are using and why "
"(one short line). Prefer `astrbot_*` tools when running skill "
"scripts.\n"
"6. **Context hygiene** — Avoid deep reference chasing; open only "
"files that are directly linked from `SKILL.md`.\n"
"7. **Failure handling** — If a skill cannot be applied, state the "
"issue clearly and continue with the best alternative.\n"
"## Skills\n"
"You have many useful skills that can help you accomplish various tasks.\n"
"A skill is a set of local instructions stored in a `SKILL.md` file.\n"
"### Available skills\n"
f"{skills_block}\n"
"### Skill Rules\n"
"\n"
"- Discovery: The list above shows all skills available in this session. Full instructions live in the referenced `SKILL.md`.\n"
"- Trigger rules: Use a skill if the user names it or the task matches its description. Do not carry skills across turns unless re-mentioned\n"
"### How to use a skill (progressive disclosure):\n"
" 0) Mandatory grounding: Before using any skill, you MUST inspect its `SKILL.md` using shell tools"
" (e.g., `cat`, `head`, `sed`, `awk`, `grep`). Do not rely on assumptions or memory.\n"
" 1) Load only directly referenced files, DO NOT bulk-load everything.\n"
" 2) If `scripts/` exist, prefer running or patching them instead of retyping large blocks of code.\n"
" 3) If `assets/` or templates exist, reuse them rather than recreating everything from scratch.\n"
"- Coordination:\n"
" - If multiple skills apply, choose the minimal set that covers the request and state the order in which you will use them.\n"
" - Announce which skill(s) you are using and why (one short line). If you skip an obvious skill, explain why.\n"
" - Prefer to use `astrbot_*` tools to perform skills that need to run scripts.\n"
"- Context hygiene:\n"
" - Avoid deep reference chasing: unless blocked, open only files that are directly linked from `SKILL.md`.\n"
"- Failure handling: If a skill cannot be applied, state the issue and continue with the best alternative.\n"
"### Example\n"
"When you decided to use a skill, use shell tool to read its `SKILL.md`, e.g., `head -40 skills/code_formatter/SKILL.md`, and you can increase or decrease the number of lines as needed.\n"
)
class SkillManager:
def __init__(self, skills_root: str | None = None) -> None:
self.skills_root = skills_root or get_astrbot_skills_path()
data_path = Path(get_astrbot_data_path())
self.config_path = str(data_path / SKILLS_CONFIG_FILENAME)
self.sandbox_skills_cache_path = str(data_path / SANDBOX_SKILLS_CACHE_FILENAME)
self.config_path = os.path.join(get_astrbot_data_path(), SKILLS_CONFIG_FILENAME)
os.makedirs(self.skills_root, exist_ok=True)
def _load_config(self) -> dict:
@@ -244,66 +108,6 @@ class SkillManager:
with open(self.config_path, "w", encoding="utf-8") as f:
json.dump(config, f, ensure_ascii=False, indent=4)
def _load_sandbox_skills_cache(self) -> dict:
if not os.path.exists(self.sandbox_skills_cache_path):
return {"version": _SANDBOX_SKILLS_CACHE_VERSION, "skills": []}
try:
with open(self.sandbox_skills_cache_path, encoding="utf-8") as f:
data = json.load(f)
if not isinstance(data, dict):
return {"version": _SANDBOX_SKILLS_CACHE_VERSION, "skills": []}
skills = data.get("skills", [])
if not isinstance(skills, list):
skills = []
return {
"version": int(data.get("version", _SANDBOX_SKILLS_CACHE_VERSION)),
"skills": skills,
"updated_at": data.get("updated_at"),
}
except Exception:
return {"version": _SANDBOX_SKILLS_CACHE_VERSION, "skills": []}
def _save_sandbox_skills_cache(self, cache: dict) -> None:
cache["version"] = _SANDBOX_SKILLS_CACHE_VERSION
cache["updated_at"] = datetime.now(timezone.utc).isoformat()
with open(self.sandbox_skills_cache_path, "w", encoding="utf-8") as f:
json.dump(cache, f, ensure_ascii=False, indent=2)
def set_sandbox_skills_cache(self, skills: list[dict]) -> None:
"""Persist sandbox skill metadata discovered from runtime side."""
deduped: dict[str, dict[str, str]] = {}
for item in skills:
if not isinstance(item, dict):
continue
name = str(item.get("name", "")).strip()
if not name or not _SKILL_NAME_RE.match(name):
continue
description = str(item.get("description", "") or "")
path = str(item.get("path", "") or "")
if not path:
path = f"{SANDBOX_WORKSPACE_ROOT}/{SANDBOX_SKILLS_ROOT}/{name}/SKILL.md"
deduped[name] = {
"name": name,
"description": description,
"path": path.replace("\\", "/"),
}
cache = {
"version": _SANDBOX_SKILLS_CACHE_VERSION,
"skills": [deduped[name] for name in sorted(deduped)],
}
self._save_sandbox_skills_cache(cache)
def get_sandbox_skills_cache_status(self) -> dict[str, object]:
cache = self._load_sandbox_skills_cache()
skills = cache.get("skills", [])
count = len(skills) if isinstance(skills, list) else 0
return {
"exists": os.path.exists(self.sandbox_skills_cache_path),
"ready": count > 0,
"count": count,
"updated_at": cache.get("updated_at"),
}
def list_skills(
self,
*,
@@ -320,21 +124,7 @@ class SkillManager:
config = self._load_config()
skill_configs = config.get("skills", {})
modified = False
skills_by_name: dict[str, SkillInfo] = {}
sandbox_cached_paths: dict[str, str] = {}
sandbox_cached_descriptions: dict[str, str] = {}
cache_for_paths = self._load_sandbox_skills_cache()
for item in cache_for_paths.get("skills", []):
if not isinstance(item, dict):
continue
name = str(item.get("name", "") or "").strip()
path = str(item.get("path", "") or "").strip().replace("\\", "/")
if not name or not _SKILL_NAME_RE.match(name):
continue
sandbox_cached_descriptions[name] = str(item.get("description", "") or "")
if path:
sandbox_cached_paths[name] = path
skills: list[SkillInfo] = []
for entry in sorted(Path(self.skills_root).iterdir()):
if not entry.is_dir():
@@ -355,129 +145,36 @@ class SkillManager:
description = _parse_frontmatter_description(content)
except Exception:
description = ""
sandbox_exists = (
runtime == "sandbox" and skill_name in sandbox_cached_descriptions
)
source_type = "both" if sandbox_exists else "local_only"
source_label = "synced" if sandbox_exists else "local"
if runtime == "sandbox" and show_sandbox_path:
path_str = sandbox_cached_paths.get(skill_name) or (
f"{SANDBOX_WORKSPACE_ROOT}/{SANDBOX_SKILLS_ROOT}/{skill_name}/SKILL.md"
)
path_str = f"{SANDBOX_SKILLS_ROOT}/{skill_name}/SKILL.md"
else:
path_str = str(skill_md)
path_str = path_str.replace("\\", "/")
skills_by_name[skill_name] = SkillInfo(
name=skill_name,
description=description,
path=path_str,
active=active,
source_type=source_type,
source_label=source_label,
local_exists=True,
sandbox_exists=sandbox_exists,
)
if runtime == "sandbox":
cache = self._load_sandbox_skills_cache()
for item in cache.get("skills", []):
if not isinstance(item, dict):
continue
skill_name = str(item.get("name", "")).strip()
if (
not skill_name
or skill_name in skills_by_name
or not _SKILL_NAME_RE.match(skill_name)
):
continue
active = skill_configs.get(skill_name, {}).get("active", True)
if skill_name not in skill_configs:
skill_configs[skill_name] = {"active": active}
modified = True
if active_only and not active:
continue
description = sandbox_cached_descriptions.get(skill_name, "")
if show_sandbox_path:
path_str = f"{SANDBOX_WORKSPACE_ROOT}/{SANDBOX_SKILLS_ROOT}/{skill_name}/SKILL.md"
else:
path_str = sandbox_cached_paths.get(skill_name, "")
if not path_str:
path_str = f"{SANDBOX_WORKSPACE_ROOT}/{SANDBOX_SKILLS_ROOT}/{skill_name}/SKILL.md"
skills_by_name[skill_name] = SkillInfo(
skills.append(
SkillInfo(
name=skill_name,
description=description,
path=path_str.replace("\\", "/"),
path=path_str,
active=active,
source_type="sandbox_only",
source_label="sandbox_preset",
local_exists=False,
sandbox_exists=True,
)
)
if modified:
config["skills"] = skill_configs
self._save_config(config)
return [skills_by_name[name] for name in sorted(skills_by_name)]
def is_sandbox_only_skill(self, name: str) -> bool:
skill_dir = Path(self.skills_root) / name
skill_md_exists = (skill_dir / "SKILL.md").exists()
if skill_md_exists:
return False
cache = self._load_sandbox_skills_cache()
skills = cache.get("skills", [])
if not isinstance(skills, list):
return False
for item in skills:
if not isinstance(item, dict):
continue
if str(item.get("name", "")).strip() == name:
return True
return False
return skills
def set_skill_active(self, name: str, active: bool) -> None:
if self.is_sandbox_only_skill(name):
raise PermissionError(
"Sandbox preset skill cannot be enabled/disabled from local skill management."
)
config = self._load_config()
config.setdefault("skills", {})
config["skills"][name] = {"active": bool(active)}
self._save_config(config)
def _remove_skill_from_sandbox_cache(self, name: str) -> None:
cache = self._load_sandbox_skills_cache()
skills = cache.get("skills", [])
if not isinstance(skills, list):
return
filtered = [
item
for item in skills
if not (
isinstance(item, dict) and str(item.get("name", "")).strip() == name
)
]
if len(filtered) != len(skills):
cache["skills"] = filtered
self._save_sandbox_skills_cache(cache)
def delete_skill(self, name: str) -> None:
if self.is_sandbox_only_skill(name):
raise PermissionError(
"Sandbox preset skill cannot be deleted from local skill management."
)
skill_dir = Path(self.skills_root) / name
if skill_dir.exists():
shutil.rmtree(skill_dir)
# Ensure UI consistency even when there is no active sandbox session
# to refresh cache from runtime side.
self._remove_skill_from_sandbox_cache(name)
config = self._load_config()
if name in config.get("skills", {}):
config["skills"].pop(name, None)
@@ -491,11 +188,7 @@ class SkillManager:
raise ValueError("Uploaded file is not a valid zip archive.")
with zipfile.ZipFile(zip_path) as zf:
names = [
name
for name in (entry.replace("\\", "/") for entry in zf.namelist())
if name and not _is_ignored_zip_entry(name)
]
names = [name.replace("\\", "/") for name in zf.namelist()]
file_names = [name for name in names if name and not name.endswith("/")]
if not file_names:
raise ValueError("Zip archive is empty.")
@@ -503,7 +196,7 @@ class SkillManager:
top_dirs = {
PurePosixPath(name).parts[0] for name in file_names if name.strip()
}
print(top_dirs)
if len(top_dirs) != 1:
raise ValueError("Zip archive must contain a single top-level folder.")
skill_name = next(iter(top_dirs))
@@ -530,11 +223,7 @@ class SkillManager:
raise ValueError("SKILL.md not found in the skill folder.")
with tempfile.TemporaryDirectory(dir=get_astrbot_temp_path()) as tmp_dir:
for member in zf.infolist():
member_name = member.filename.replace("\\", "/")
if not member_name or _is_ignored_zip_entry(member_name):
continue
zf.extract(member, tmp_dir)
zf.extractall(tmp_dir)
src_dir = Path(tmp_dir) / skill_name
if not src_dir.exists():
raise ValueError("Skill folder not found after extraction.")
+1 -1
View File
@@ -15,4 +15,4 @@ class RegexFilter(HandlerFilter):
self.regex = re.compile(regex)
def filter(self, event: AstrMessageEvent, cfg: AstrBotConfig) -> bool:
return bool(self.regex.search(event.get_message_str().strip()))
return bool(self.regex.match(event.get_message_str().strip()))
+8 -5
View File
@@ -2,7 +2,7 @@ from __future__ import annotations
import re
from collections.abc import AsyncGenerator, Awaitable, Callable
from typing import Any
from typing import TYPE_CHECKING, Any
import docstring_parser
@@ -15,6 +15,9 @@ from astrbot.core.message.message_event_result import MessageEventResult
from astrbot.core.provider.func_tool_manager import PY_TO_JSON_TYPE, SUPPORTED_TYPES
from astrbot.core.provider.register import llm_tools
if TYPE_CHECKING:
from astrbot.core.astr_agent_context import AstrAgentContext
from ..filter.command import CommandFilter
from ..filter.command_group import CommandGroupFilter
from ..filter.custom_filter import CustomFilterAnd, CustomFilterOr
@@ -616,7 +619,7 @@ class RegisteringAgent:
kwargs["registering_agent"] = self
return register_llm_tool(*args, **kwargs)
def __init__(self, agent: Agent[Any]) -> None:
def __init__(self, agent: Agent[AstrAgentContext]) -> None:
self._agent = agent
@@ -624,7 +627,7 @@ def register_agent(
name: str,
instruction: str,
tools: list[str | FunctionTool] | None = None,
run_hooks: BaseAgentRunHooks[Any] | None = None,
run_hooks: BaseAgentRunHooks[AstrAgentContext] | None = None,
):
"""注册一个 Agent
@@ -638,12 +641,12 @@ def register_agent(
tools_ = tools or []
def decorator(awaitable: Callable[..., Awaitable[Any]]):
AstrAgent = Agent[Any]
AstrAgent = Agent[AstrAgentContext]
agent = AstrAgent(
name=name,
instructions=instruction,
tools=tools_,
run_hooks=run_hooks or BaseAgentRunHooks[Any](),
run_hooks=run_hooks or BaseAgentRunHooks[AstrAgentContext](),
)
handoff_tool = HandoffTool(agent=agent)
handoff_tool.handler = awaitable
+10 -161
View File
@@ -1,14 +1,12 @@
"""插件的重载、启停、安装、卸载等操作。"""
import asyncio
import contextlib
import functools
import inspect
import json
import logging
import os
import sys
import tempfile
import traceback
from types import ModuleType
@@ -16,12 +14,7 @@ import yaml
from packaging.specifiers import InvalidSpecifier, SpecifierSet
from packaging.version import InvalidVersion, Version
from astrbot.core import (
DependencyConflictError,
logger,
pip_installer,
sp,
)
from astrbot.core import logger, pip_installer, sp
from astrbot.core.agent.handoff import FunctionTool, HandoffTool
from astrbot.core.config.astrbot_config import AstrBotConfig
from astrbot.core.config.default import VERSION
@@ -31,13 +24,9 @@ from astrbot.core.utils.astrbot_path import (
get_astrbot_config_path,
get_astrbot_path,
get_astrbot_plugin_path,
get_astrbot_temp_path,
)
from astrbot.core.utils.io import remove_dir
from astrbot.core.utils.metrics import Metric
from astrbot.core.utils.requirements_utils import (
plan_missing_requirements_install,
)
from . import StarMetadata
from .command_management import sync_command_configs
@@ -59,97 +48,6 @@ class PluginVersionIncompatibleError(Exception):
"""Raised when plugin astrbot_version is incompatible with current AstrBot."""
class PluginDependencyInstallError(Exception):
"""Raised when plugin dependency installation fails."""
def __init__(
self,
*,
plugin_label: str,
requirements_path: str,
error: Exception,
) -> None:
message = f"插件 {plugin_label} 依赖安装失败: {error!s}"
super().__init__(message)
self.plugin_label = plugin_label
self.requirements_path = requirements_path
self.error = error
@contextlib.contextmanager
def _temporary_filtered_requirements_file(
*,
install_lines: tuple[str, ...],
):
filtered_requirements_path: str | None = None
temp_dir = get_astrbot_temp_path()
try:
os.makedirs(temp_dir, exist_ok=True)
with tempfile.NamedTemporaryFile(
mode="w",
suffix="_plugin_requirements.txt",
delete=False,
dir=temp_dir,
encoding="utf-8",
) as filtered_requirements_file:
filtered_requirements_file.write("\n".join(install_lines) + "\n")
filtered_requirements_path = filtered_requirements_file.name
yield filtered_requirements_path
finally:
if filtered_requirements_path and os.path.exists(filtered_requirements_path):
try:
os.remove(filtered_requirements_path)
except OSError as exc:
logger.warning(
"删除临时插件依赖文件失败:%s(路径:%s",
exc,
filtered_requirements_path,
)
async def _install_requirements_with_precheck(
*,
plugin_label: str,
requirements_path: str,
) -> None:
install_plan = plan_missing_requirements_install(requirements_path)
if install_plan is None:
logger.info(
f"正在安装插件 {plugin_label} 的依赖库(缺失依赖预检查不可裁剪,回退到完整安装): "
f"{requirements_path}"
)
await pip_installer.install(requirements_path=requirements_path)
return
if not install_plan.missing_names:
logger.info(f"插件 {plugin_label} 的依赖已满足,跳过安装。")
return
if not install_plan.install_lines:
fallback_reason = install_plan.fallback_reason or "unknown reason"
logger.info(
"检测到插件 %s 缺失依赖,但无法安全裁剪 requirements,回退到完整安装: %s (%s)",
plugin_label,
requirements_path,
fallback_reason,
)
await pip_installer.install(requirements_path=requirements_path)
return
logger.info(
f"检测到插件 {plugin_label} 缺失依赖,正在按 requirements.txt 安装: "
f"{requirements_path} -> {sorted(install_plan.missing_names)}"
)
with _temporary_filtered_requirements_file(
install_lines=install_plan.install_lines,
) as filtered_requirements_path:
await pip_installer.install(requirements_path=filtered_requirements_path)
class PluginManager:
def __init__(self, context: Context, config: AstrBotConfig) -> None:
from .star_tools import StarTools
@@ -300,37 +198,15 @@ class PluginManager:
to_update.append(p.root_dir_name)
for p in to_update:
plugin_path = os.path.join(plugin_dir, p)
await self._ensure_plugin_requirements(plugin_path, p)
if os.path.exists(os.path.join(plugin_path, "requirements.txt")):
pth = os.path.join(plugin_path, "requirements.txt")
logger.info(f"正在安装插件 {p} 所需的依赖库: {pth}")
try:
await pip_installer.install(requirements_path=pth)
except Exception as e:
logger.error(f"更新插件 {p} 的依赖失败。Code: {e!s}")
return True
async def _ensure_plugin_requirements(
self,
plugin_dir_path: str,
plugin_label: str,
) -> None:
requirements_path = os.path.join(plugin_dir_path, "requirements.txt")
if not os.path.exists(requirements_path):
return
try:
await _install_requirements_with_precheck(
plugin_label=plugin_label,
requirements_path=requirements_path,
)
except asyncio.CancelledError:
raise
except DependencyConflictError as e:
logger.error(f"插件 {plugin_label} 依赖冲突: {e!s}")
raise
except Exception as e:
dependency_error = PluginDependencyInstallError(
plugin_label=plugin_label,
requirements_path=requirements_path,
error=e,
)
logger.exception(str(dependency_error))
raise dependency_error from e
async def _import_plugin_with_dependency_recovery(
self,
path: str,
@@ -546,7 +422,7 @@ class PluginManager:
root_dir_name: str,
plugin_dir_path: str,
reserved: bool,
error: BaseException | str,
error: Exception | str,
error_trace: str,
) -> dict:
record: dict = {
@@ -619,9 +495,6 @@ class PluginManager:
self._cleanup_plugin_state(dir_name)
plugin_path = os.path.join(self.plugin_store_path, dir_name)
await self._ensure_plugin_requirements(plugin_path, dir_name)
success, error = await self.load(specified_dir_name=dir_name)
if success:
self.failed_plugin_dict.pop(dir_name, None)
@@ -1205,10 +1078,6 @@ class PluginManager:
# reload the plugin
dir_name = os.path.basename(plugin_path)
await self._ensure_plugin_requirements(
plugin_path,
dir_name,
)
success, error_message = await self.load(
specified_dir_name=dir_name,
ignore_version_check=ignore_version_check,
@@ -1448,12 +1317,6 @@ class PluginManager:
raise Exception("该插件是 AstrBot 保留插件,无法更新。")
await self.updator.update(plugin, proxy=proxy)
if plugin.root_dir_name:
plugin_dir_path = os.path.join(self.plugin_store_path, plugin.root_dir_name)
await self._ensure_plugin_requirements(
plugin_dir_path,
plugin_name,
)
await self.reload(plugin_name)
async def turn_off_plugin(self, plugin_name: str) -> None:
@@ -1511,23 +1374,10 @@ class PluginManager:
return
if "__del__" in star_metadata.star_cls_type.__dict__:
loop = asyncio.get_running_loop()
future = loop.run_in_executor(
asyncio.get_event_loop().run_in_executor(
None,
star_metadata.star_cls.__del__,
)
def _log_del_exception(fut: asyncio.Future) -> None:
if fut.cancelled():
return
if (exc := fut.exception()) is not None:
logger.error(
"插件 %s 在 __del__ 中抛出了异常:%r",
star_metadata.name,
exc,
)
future.add_done_callback(_log_del_exception)
elif "terminate" in star_metadata.star_cls_type.__dict__:
await star_metadata.star_cls.terminate()
@@ -1625,7 +1475,6 @@ class PluginManager:
os.remove(zip_file_path)
except BaseException as e:
logger.warning(f"删除插件压缩包失败: {e!s}")
await self._ensure_plugin_requirements(desti_dir, dir_name)
# await self.reload()
success, error_message = await self.load(
specified_dir_name=dir_name,
+16 -22
View File
@@ -1,16 +1,13 @@
from __future__ import annotations
import copy
from typing import TYPE_CHECKING, Any
from typing import Any
from astrbot import logger
from astrbot.core.agent.agent import Agent
from astrbot.core.agent.handoff import HandoffTool
from astrbot.core.persona_mgr import PersonaManager
from astrbot.core.provider.func_tool_manager import FunctionToolManager
if TYPE_CHECKING:
from astrbot.core.persona_mgr import PersonaManager
class SubAgentOrchestrator:
"""Loads subagent definitions from config and registers handoff tools.
@@ -46,14 +43,15 @@ class SubAgentOrchestrator:
continue
persona_id = item.get("persona_id")
if persona_id is not None:
persona_id = str(persona_id).strip() or None
persona_data = self._persona_mgr.get_persona_v3_by_id(persona_id)
if persona_id and persona_data is None:
logger.warning(
"SubAgent persona %s not found, fallback to inline prompt.",
persona_id,
)
persona_data = None
if persona_id:
try:
persona_data = await self._persona_mgr.get_persona(persona_id)
except StopIteration:
logger.warning(
"SubAgent persona %s not found, fallback to inline prompt.",
persona_id,
)
instructions = str(item.get("system_prompt", "")).strip()
public_description = str(item.get("public_description", "")).strip()
@@ -64,15 +62,11 @@ class SubAgentOrchestrator:
begin_dialogs = None
if persona_data:
prompt = str(persona_data.get("prompt", "")).strip()
if prompt:
instructions = prompt
begin_dialogs = copy.deepcopy(
persona_data.get("_begin_dialogs_processed")
)
tools = persona_data.get("tools")
if public_description == "" and prompt:
public_description = prompt[:120]
instructions = persona_data.system_prompt or instructions
begin_dialogs = persona_data.begin_dialogs
tools = persona_data.tools
if public_description == "" and persona_data.system_prompt:
public_description = persona_data.system_prompt[:120]
if tools is None:
tools = None
elif not isinstance(tools, list):

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