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v3.1.0.1
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52
.github/ISSUE_TEMPLATE/bug-report.yml
vendored
52
.github/ISSUE_TEMPLATE/bug-report.yml
vendored
@@ -1,66 +1,30 @@
|
||||
name: 漏洞反馈
|
||||
description: 报错或漏洞请使用这个模板创建,不使用此模板创建的异常、漏洞相关issue将被直接关闭
|
||||
description: 【供中文用户】报错或漏洞请使用这个模板创建,不使用此模板创建的异常、漏洞相关issue将被直接关闭。由于自己操作不当/不甚了解所用技术栈引起的网络连接问题恕无法解决,请勿提 issue。容器间网络连接问题,参考文档 https://docs.langbot.app/zh/workshop/network-details.html
|
||||
title: "[Bug]: "
|
||||
labels: ["bug?"]
|
||||
body:
|
||||
- type: dropdown
|
||||
attributes:
|
||||
label: 部署方式
|
||||
description: "主程序使用的部署方式"
|
||||
options:
|
||||
- 手动部署
|
||||
- 安装器部署
|
||||
- 一键安装包部署
|
||||
- Docker部署
|
||||
validations:
|
||||
required: true
|
||||
- type: dropdown
|
||||
attributes:
|
||||
label: 消息平台适配器
|
||||
description: "连接QQ使用的框架"
|
||||
options:
|
||||
- yiri-mirai(Mirai)
|
||||
- Nakuru(go-cqhttp)
|
||||
- aiocqhttp(使用 OneBot 协议接入的)
|
||||
- qq-botpy(QQ官方API)
|
||||
validations:
|
||||
required: false
|
||||
- type: input
|
||||
attributes:
|
||||
label: 系统环境
|
||||
description: 操作系统、系统架构、**主机地理位置**,地理位置最好写清楚,涉及网络问题排查。
|
||||
placeholder: 例如: CentOS x64 中国大陆、Windows11 美国
|
||||
validations:
|
||||
required: true
|
||||
- type: input
|
||||
attributes:
|
||||
label: Python环境
|
||||
description: 运行程序的Python版本
|
||||
placeholder: 例如: Python 3.10
|
||||
validations:
|
||||
required: true
|
||||
- type: input
|
||||
attributes:
|
||||
label: QChatGPT版本
|
||||
description: QChatGPT版本号
|
||||
placeholder: 例如: v2.6.0,可以使用`!version`命令查看
|
||||
label: 运行环境
|
||||
description: LangBot 版本、操作系统、系统架构、**Python版本**、**主机地理位置**
|
||||
placeholder: 例如:v3.3.0、CentOS x64 Python 3.10.3、Docker
|
||||
validations:
|
||||
required: true
|
||||
- type: textarea
|
||||
attributes:
|
||||
label: 异常情况
|
||||
description: 完整描述异常情况,什么时候发生的、发生了什么,尽可能详细
|
||||
description: 完整描述异常情况,什么时候发生的、发生了什么。**请附带日志信息。**
|
||||
validations:
|
||||
required: true
|
||||
- type: textarea
|
||||
attributes:
|
||||
label: 日志信息
|
||||
description: 请提供完整的 **登录框架 和 QChatGPT控制台**的相关日志信息(若有),不提供日志信息**无法**为您排查问题,请尽可能详细
|
||||
label: 复现步骤
|
||||
description: 提供越多信息,我们会越快解决问题,建议多提供配置截图;**如果你不认真填写(只一两句话概括),我们会很生气并且立即关闭 issue 或两年后才回复你**
|
||||
validations:
|
||||
required: false
|
||||
- type: textarea
|
||||
attributes:
|
||||
label: 启用的插件
|
||||
description: 有些情况可能和插件功能有关,建议提供插件启用情况。可以使用`!plugin`命令查看已启用的插件
|
||||
description: 有些情况可能和插件功能有关,建议提供插件启用情况。
|
||||
validations:
|
||||
required: false
|
||||
|
||||
30
.github/ISSUE_TEMPLATE/bug-report_en.yml
vendored
Normal file
30
.github/ISSUE_TEMPLATE/bug-report_en.yml
vendored
Normal file
@@ -0,0 +1,30 @@
|
||||
name: Bug report
|
||||
description: Report bugs or vulnerabilities using this template. For container network connection issues, refer to the documentation https://docs.langbot.app/en/workshop/network-details.html
|
||||
title: "[Bug]: "
|
||||
labels: ["bug?"]
|
||||
body:
|
||||
- type: input
|
||||
attributes:
|
||||
label: Runtime environment
|
||||
description: LangBot version, operating system, system architecture, **Python version**, **host location**
|
||||
placeholder: "For example: v3.3.0, CentOS x64 Python 3.10.3, Docker"
|
||||
validations:
|
||||
required: true
|
||||
- type: textarea
|
||||
attributes:
|
||||
label: Exception
|
||||
description: Describe the exception in detail, what happened and when it happened. **Please include log information.**
|
||||
validations:
|
||||
required: true
|
||||
- type: textarea
|
||||
attributes:
|
||||
label: Reproduction steps
|
||||
description: How to reproduce this problem, the more detailed the better; the more information you provide, the faster we will solve the problem. 【注意】请务必认真填写此部分,若不提供完整信息(如只有一两句话的概括),我们将不会回复!
|
||||
validations:
|
||||
required: false
|
||||
- type: textarea
|
||||
attributes:
|
||||
label: Enabled plugins
|
||||
description: Some cases may be related to plugin functionality, so please provide the plugin enablement status.
|
||||
validations:
|
||||
required: false
|
||||
4
.github/ISSUE_TEMPLATE/feature-request.yml
vendored
4
.github/ISSUE_TEMPLATE/feature-request.yml
vendored
@@ -1,7 +1,7 @@
|
||||
name: 需求建议
|
||||
title: "[Feature]: "
|
||||
labels: ["改进"]
|
||||
description: "新功能或现有功能优化请使用这个模板;不符合类别的issue将被直接关闭"
|
||||
labels: []
|
||||
description: "【供中文用户】新功能或现有功能优化请使用这个模板;不符合类别的issue将被直接关闭"
|
||||
body:
|
||||
- type: dropdown
|
||||
attributes:
|
||||
|
||||
21
.github/ISSUE_TEMPLATE/feature-request_en.yml
vendored
Normal file
21
.github/ISSUE_TEMPLATE/feature-request_en.yml
vendored
Normal file
@@ -0,0 +1,21 @@
|
||||
name: Feature request
|
||||
title: "[Feature]: "
|
||||
labels: []
|
||||
description: "New features or existing feature improvements should use this template; issues that do not match will be closed directly"
|
||||
body:
|
||||
- type: dropdown
|
||||
attributes:
|
||||
label: This is a?
|
||||
description: New feature request or existing feature improvement
|
||||
options:
|
||||
- New feature
|
||||
- Existing feature improvement
|
||||
validations:
|
||||
required: true
|
||||
- type: textarea
|
||||
attributes:
|
||||
label: Detailed description
|
||||
description: Detailed description, the more detailed the better
|
||||
validations:
|
||||
required: true
|
||||
|
||||
2
.github/ISSUE_TEMPLATE/submit-plugin.yml
vendored
2
.github/ISSUE_TEMPLATE/submit-plugin.yml
vendored
@@ -1,7 +1,7 @@
|
||||
name: 提交新插件
|
||||
title: "[Plugin]: 请求登记新插件"
|
||||
labels: ["独立插件"]
|
||||
description: "本模板供且仅供提交新插件使用"
|
||||
description: "【供中文用户】本模板供且仅供提交新插件使用"
|
||||
body:
|
||||
- type: input
|
||||
attributes:
|
||||
|
||||
24
.github/ISSUE_TEMPLATE/submit-plugin_en.yml
vendored
Normal file
24
.github/ISSUE_TEMPLATE/submit-plugin_en.yml
vendored
Normal file
@@ -0,0 +1,24 @@
|
||||
name: Submit a new plugin
|
||||
title: "[Plugin]: Request to register a new plugin"
|
||||
labels: ["Independent Plugin"]
|
||||
description: "This template is only for submitting new plugins"
|
||||
body:
|
||||
- type: input
|
||||
attributes:
|
||||
label: Plugin name
|
||||
description: Fill in the name of the plugin
|
||||
validations:
|
||||
required: true
|
||||
- type: textarea
|
||||
attributes:
|
||||
label: Plugin code repository address
|
||||
description: Only support Github
|
||||
validations:
|
||||
required: true
|
||||
- type: textarea
|
||||
attributes:
|
||||
label: Plugin description
|
||||
description: The description of the plugin
|
||||
validations:
|
||||
required: true
|
||||
|
||||
1
.github/dependabot.yml
vendored
1
.github/dependabot.yml
vendored
@@ -10,5 +10,4 @@ updates:
|
||||
schedule:
|
||||
interval: "weekly"
|
||||
allow:
|
||||
- dependency-name: "yiri-mirai-rc"
|
||||
- dependency-name: "openai"
|
||||
|
||||
39
.github/pull_request_template.md
vendored
39
.github/pull_request_template.md
vendored
@@ -1,25 +1,32 @@
|
||||
## 概述
|
||||
## 概述 / Overview
|
||||
|
||||
实现/解决/优化的内容:
|
||||
> 请在此部分填写你实现/解决/优化的内容:
|
||||
> Summary of what you implemented/solved/optimized:
|
||||
>
|
||||
|
||||
### 事务
|
||||
### 更改前后对比截图 / Screenshots
|
||||
|
||||
- [ ] 已阅读仓库[贡献指引](https://github.com/RockChinQ/QChatGPT/blob/master/CONTRIBUTING.md)
|
||||
- [ ] 已与维护者在issues或其他平台沟通此PR大致内容
|
||||
> 请在此部分粘贴更改前后对比截图(可以是界面截图、控制台输出、对话截图等):
|
||||
> Please paste the screenshots of changes before and after here (can be interface screenshots, console output, conversation screenshots, etc.):
|
||||
>
|
||||
> 修改前 / Before:
|
||||
>
|
||||
> 修改后 / After:
|
||||
>
|
||||
|
||||
## 以下内容可在起草PR后、合并PR前逐步完成
|
||||
## 检查清单 / Checklist
|
||||
|
||||
### 功能
|
||||
### PR 作者完成 / For PR author
|
||||
|
||||
- [ ] 已编写完善的配置文件字段说明(若有新增)
|
||||
- [ ] 已编写面向用户的新功能说明(若有必要)
|
||||
- [ ] 已测试新功能或更改
|
||||
*请在方括号间写`x`以打勾 / Please tick the box with `x`*
|
||||
|
||||
### 兼容性
|
||||
- [ ] 阅读仓库[贡献指引](https://github.com/langbot-app/LangBot/blob/master/CONTRIBUTING.md)了吗? / Have you read the [contribution guide](https://github.com/langbot-app/LangBot/blob/master/CONTRIBUTING.md)?
|
||||
- [ ] 与项目所有者沟通过了吗? / Have you communicated with the project maintainer?
|
||||
- [ ] 我确定已自行测试所作的更改,确保功能符合预期。 / I have tested the changes and ensured they work as expected.
|
||||
|
||||
- [ ] 已处理版本兼容性
|
||||
- [ ] 已处理插件兼容问题
|
||||
### 项目维护者完成 / For project maintainer
|
||||
|
||||
### 风险
|
||||
|
||||
可能导致或已知的问题:
|
||||
- [ ] 相关 issues 链接了吗? / Have you linked the related issues?
|
||||
- [ ] 配置项写好了吗?迁移写好了吗?生效了吗? / Have you written the configuration items? Have you written the migration? Has it taken effect?
|
||||
- [ ] 依赖加到 pyproject.toml 和 core/bootutils/deps.py 了吗 / Have you added the dependencies to pyproject.toml and core/bootutils/deps.py?
|
||||
- [ ] 文档编写了吗? / Have you written the documentation?
|
||||
29
.github/workflows/build-dev-image.yaml
vendored
Normal file
29
.github/workflows/build-dev-image.yaml
vendored
Normal file
@@ -0,0 +1,29 @@
|
||||
name: Build Dev Image
|
||||
|
||||
on:
|
||||
push:
|
||||
workflow_dispatch:
|
||||
|
||||
jobs:
|
||||
build-dev-image:
|
||||
runs-on: ubuntu-latest
|
||||
# 如果是tag则跳过
|
||||
if: ${{ !startsWith(github.ref, 'refs/tags/') }}
|
||||
steps:
|
||||
- name: Checkout
|
||||
uses: actions/checkout@v2
|
||||
with:
|
||||
persist-credentials: false
|
||||
|
||||
- name: Generate Tag
|
||||
id: generate_tag
|
||||
run: |
|
||||
# 获取分支名称,把/替换为-
|
||||
echo ${{ github.ref }} | sed 's/refs\/heads\///g' | sed 's/\//-/g'
|
||||
echo ::set-output name=tag::$(echo ${{ github.ref }} | sed 's/refs\/heads\///g' | sed 's/\//-/g')
|
||||
- name: Login to Registry
|
||||
run: docker login --username=${{ secrets.DOCKER_USERNAME }} --password ${{ secrets.DOCKER_PASSWORD }}
|
||||
- name: Build Docker Image
|
||||
run: |
|
||||
docker buildx create --name mybuilder --use
|
||||
docker build -t rockchin/langbot:${{ steps.generate_tag.outputs.tag }} . --push
|
||||
20
.github/workflows/build-docker-image.yml
vendored
20
.github/workflows/build-docker-image.yml
vendored
@@ -1,10 +1,9 @@
|
||||
name: Build Docker Image
|
||||
on:
|
||||
#防止fork乱用action设置只能手动触发构建
|
||||
workflow_dispatch:
|
||||
## 发布release的时候会自动构建
|
||||
release:
|
||||
types: [published]
|
||||
workflow_dispatch:
|
||||
jobs:
|
||||
publish-docker-image:
|
||||
runs-on: ubuntu-latest
|
||||
@@ -13,18 +12,15 @@ jobs:
|
||||
steps:
|
||||
- name: Checkout
|
||||
uses: actions/checkout@v2
|
||||
with:
|
||||
persist-credentials: false
|
||||
|
||||
- name: judge has env GITHUB_REF # 如果没有GITHUB_REF环境变量,则把github.ref变量赋值给GITHUB_REF
|
||||
run: |
|
||||
if [ -z "$GITHUB_REF" ]; then
|
||||
export GITHUB_REF=${{ github.ref }}
|
||||
echo $GITHUB_REF
|
||||
fi
|
||||
# - name: Check GITHUB_REF env
|
||||
# run: echo $GITHUB_REF
|
||||
# - name: Get version # 在 GitHub Actions 运行环境
|
||||
# id: get_version
|
||||
# if: (startsWith(env.GITHUB_REF, 'refs/tags/')||startsWith(github.ref, 'refs/tags/')) && startsWith(github.repository, 'RockChinQ/QChatGPT')
|
||||
# run: export GITHUB_REF=${GITHUB_REF/refs\/tags\//}
|
||||
- name: Check version
|
||||
id: check_version
|
||||
run: |
|
||||
@@ -44,5 +40,9 @@ jobs:
|
||||
run: docker login --username=${{ secrets.DOCKER_USERNAME }} --password ${{ secrets.DOCKER_PASSWORD }}
|
||||
- name: Create Buildx
|
||||
run: docker buildx create --name mybuilder --use
|
||||
- name: Build # image name: rockchin/qchatgpt:<VERSION>
|
||||
run: docker buildx build --platform linux/arm64,linux/amd64 -t rockchin/qchatgpt:${{ steps.check_version.outputs.version }} -t rockchin/qchatgpt:latest . --push
|
||||
- name: Build for Release # only relase, exlude pre-release
|
||||
if: ${{ github.event.release.prerelease == false }}
|
||||
run: docker buildx build --platform linux/amd64 -t rockchin/langbot:${{ steps.check_version.outputs.version }} -t rockchin/langbot:latest . --push
|
||||
- name: Build for Pre-release # no update for latest tag
|
||||
if: ${{ github.event.release.prerelease == true }}
|
||||
run: docker buildx build --platform linux/amd64 -t rockchin/langbot:${{ steps.check_version.outputs.version }} . --push
|
||||
62
.github/workflows/build-release-artifacts.yaml
vendored
Normal file
62
.github/workflows/build-release-artifacts.yaml
vendored
Normal file
@@ -0,0 +1,62 @@
|
||||
name: Build Release Artifacts
|
||||
|
||||
on:
|
||||
workflow_dispatch:
|
||||
## 发布release的时候会自动构建
|
||||
release:
|
||||
types: [published]
|
||||
|
||||
jobs:
|
||||
build-artifacts:
|
||||
runs-on: ubuntu-latest
|
||||
steps:
|
||||
- name: Checkout
|
||||
uses: actions/checkout@v2
|
||||
with:
|
||||
persist-credentials: false
|
||||
|
||||
- name: Check version
|
||||
id: check_version
|
||||
run: |
|
||||
echo $GITHUB_REF
|
||||
# 如果是tag,则去掉refs/tags/前缀
|
||||
if [[ $GITHUB_REF == refs/tags/* ]]; then
|
||||
echo "It's a tag"
|
||||
echo $GITHUB_REF
|
||||
echo $GITHUB_REF | awk -F '/' '{print $3}'
|
||||
echo ::set-output name=version::$(echo $GITHUB_REF | awk -F '/' '{print $3}')
|
||||
else
|
||||
echo "It's not a tag"
|
||||
echo $GITHUB_REF
|
||||
echo ::set-output name=version::${GITHUB_REF}
|
||||
fi
|
||||
|
||||
- name: Make Temp Directory
|
||||
run: |
|
||||
mkdir -p /tmp/langbot_build_web
|
||||
cp -r . /tmp/langbot_build_web
|
||||
- name: Setup Node
|
||||
uses: actions/setup-node@v2
|
||||
with:
|
||||
node-version: '22'
|
||||
- name: Build Web
|
||||
run: |
|
||||
cd /tmp/langbot_build_web/web
|
||||
npm install
|
||||
npm run build
|
||||
- name: Package Output
|
||||
run: |
|
||||
cp -r /tmp/langbot_build_web/web/out ./web
|
||||
- name: Upload Artifact
|
||||
uses: actions/upload-artifact@v4
|
||||
with:
|
||||
name: langbot-${{ steps.check_version.outputs.version }}-all
|
||||
path: .
|
||||
|
||||
- name: Upload To Release
|
||||
env:
|
||||
GH_TOKEN: ${{ secrets.RELEASE_UPLOAD_GITHUB_TOKEN }}
|
||||
run: |
|
||||
# 本目录下所有文件打包成zip
|
||||
zip -r langbot-${{ steps.check_version.outputs.version }}-all.zip .
|
||||
gh release upload ${{ github.event.release.tag_name }} langbot-${{ steps.check_version.outputs.version }}-all.zip
|
||||
46
.github/workflows/publish-to-pypi.yml
vendored
Normal file
46
.github/workflows/publish-to-pypi.yml
vendored
Normal file
@@ -0,0 +1,46 @@
|
||||
name: Build and Publish to PyPI
|
||||
|
||||
on:
|
||||
workflow_dispatch:
|
||||
release:
|
||||
types: [published]
|
||||
|
||||
jobs:
|
||||
build-and-publish:
|
||||
runs-on: ubuntu-latest
|
||||
permissions:
|
||||
contents: read
|
||||
id-token: write # Required for trusted publishing to PyPI
|
||||
|
||||
steps:
|
||||
- name: Checkout code
|
||||
uses: actions/checkout@v4
|
||||
with:
|
||||
persist-credentials: false
|
||||
|
||||
- name: Set up Node.js
|
||||
uses: actions/setup-node@v4
|
||||
with:
|
||||
node-version: '22'
|
||||
|
||||
- name: Build frontend
|
||||
run: |
|
||||
cd web
|
||||
npm install -g pnpm
|
||||
pnpm install
|
||||
pnpm build
|
||||
mkdir -p ../src/langbot/web/out
|
||||
cp -r out ../src/langbot/web/
|
||||
|
||||
- name: Install the latest version of uv
|
||||
uses: astral-sh/setup-uv@v6
|
||||
with:
|
||||
version: "latest"
|
||||
|
||||
- name: Build package
|
||||
run: |
|
||||
uv build
|
||||
|
||||
- name: Publish to PyPI
|
||||
run: |
|
||||
uv publish --token ${{ secrets.PYPI_TOKEN }}
|
||||
71
.github/workflows/run-tests.yml
vendored
Normal file
71
.github/workflows/run-tests.yml
vendored
Normal file
@@ -0,0 +1,71 @@
|
||||
name: Unit Tests
|
||||
|
||||
on:
|
||||
pull_request:
|
||||
types: [opened, ready_for_review, synchronize]
|
||||
paths:
|
||||
- 'pkg/**'
|
||||
- 'tests/**'
|
||||
- '.github/workflows/run-tests.yml'
|
||||
- 'pyproject.toml'
|
||||
- 'run_tests.sh'
|
||||
push:
|
||||
branches:
|
||||
- master
|
||||
- develop
|
||||
paths:
|
||||
- 'pkg/**'
|
||||
- 'tests/**'
|
||||
- '.github/workflows/run-tests.yml'
|
||||
- 'pyproject.toml'
|
||||
- 'run_tests.sh'
|
||||
|
||||
jobs:
|
||||
test:
|
||||
name: Run Unit Tests
|
||||
runs-on: ubuntu-latest
|
||||
strategy:
|
||||
matrix:
|
||||
python-version: ['3.10', '3.11', '3.12']
|
||||
fail-fast: false
|
||||
|
||||
steps:
|
||||
- name: Checkout code
|
||||
uses: actions/checkout@v4
|
||||
|
||||
- name: Set up Python ${{ matrix.python-version }}
|
||||
uses: actions/setup-python@v5
|
||||
with:
|
||||
python-version: ${{ matrix.python-version }}
|
||||
|
||||
- name: Install uv
|
||||
run: |
|
||||
curl -LsSf https://astral.sh/uv/install.sh | sh
|
||||
echo "$HOME/.cargo/bin" >> $GITHUB_PATH
|
||||
|
||||
- name: Install dependencies
|
||||
run: |
|
||||
uv sync --dev
|
||||
|
||||
- name: Run unit tests
|
||||
run: |
|
||||
bash run_tests.sh
|
||||
|
||||
- name: Upload coverage to Codecov
|
||||
if: matrix.python-version == '3.12'
|
||||
uses: codecov/codecov-action@v5
|
||||
with:
|
||||
files: ./coverage.xml
|
||||
flags: unit-tests
|
||||
name: unit-tests-coverage
|
||||
fail_ci_if_error: false
|
||||
env:
|
||||
CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }}
|
||||
|
||||
- name: Test Summary
|
||||
if: always()
|
||||
run: |
|
||||
echo "## Unit Tests Results" >> $GITHUB_STEP_SUMMARY
|
||||
echo "" >> $GITHUB_STEP_SUMMARY
|
||||
echo "Python Version: ${{ matrix.python-version }}" >> $GITHUB_STEP_SUMMARY
|
||||
echo "Test Status: ${{ job.status }}" >> $GITHUB_STEP_SUMMARY
|
||||
43
.github/workflows/sync-wiki.yml
vendored
43
.github/workflows/sync-wiki.yml
vendored
@@ -1,43 +0,0 @@
|
||||
name: Update Wiki
|
||||
|
||||
on:
|
||||
push:
|
||||
branches:
|
||||
- master
|
||||
paths:
|
||||
- 'res/wiki/**'
|
||||
|
||||
jobs:
|
||||
update-wiki:
|
||||
runs-on: ubuntu-latest
|
||||
steps:
|
||||
- name: Checkout
|
||||
uses: actions/checkout@v2
|
||||
- name: Setup Git
|
||||
run: |
|
||||
git config --global user.name "GitHub Actions"
|
||||
git config --global user.email "github-actions[bot]@users.noreply.github.com"
|
||||
- name: Clone Wiki Repository
|
||||
uses: actions/checkout@v2
|
||||
with:
|
||||
repository: RockChinQ/QChatGPT.wiki
|
||||
path: wiki
|
||||
- name: Delete old wiki content
|
||||
run: |
|
||||
rm -rf wiki/*
|
||||
- name: Copy res/wiki content to wiki
|
||||
run: |
|
||||
cp -r res/wiki/* wiki/
|
||||
- name: Check for changes
|
||||
run: |
|
||||
cd wiki
|
||||
if git diff --quiet; then
|
||||
echo "No changes to commit."
|
||||
exit 0
|
||||
fi
|
||||
- name: Commit and Push Changes
|
||||
run: |
|
||||
cd wiki
|
||||
git add .
|
||||
git commit -m "Update wiki"
|
||||
git push
|
||||
108
.github/workflows/test-dev-image.yaml
vendored
Normal file
108
.github/workflows/test-dev-image.yaml
vendored
Normal file
@@ -0,0 +1,108 @@
|
||||
name: Test Dev Image
|
||||
|
||||
on:
|
||||
workflow_run:
|
||||
workflows: ["Build Dev Image"]
|
||||
types:
|
||||
- completed
|
||||
branches:
|
||||
- master
|
||||
|
||||
jobs:
|
||||
test-dev-image:
|
||||
runs-on: ubuntu-latest
|
||||
# Only run if the build workflow succeeded
|
||||
if: ${{ github.event.workflow_run.conclusion == 'success' }}
|
||||
|
||||
permissions:
|
||||
contents: read
|
||||
|
||||
steps:
|
||||
- name: Checkout
|
||||
uses: actions/checkout@v4
|
||||
|
||||
- name: Update Docker Compose to use master tag
|
||||
working-directory: ./docker
|
||||
run: |
|
||||
# Replace 'latest' with 'master' tag for testing the dev image
|
||||
sed -i 's/rockchin\/langbot:latest/rockchin\/langbot:master/g' docker-compose.yaml
|
||||
echo "Updated docker-compose.yaml to use master tag:"
|
||||
cat docker-compose.yaml
|
||||
|
||||
- name: Start Docker Compose
|
||||
working-directory: ./docker
|
||||
run: docker compose up -d
|
||||
|
||||
- name: Wait and Test API
|
||||
run: |
|
||||
# Function to test API endpoint
|
||||
test_api() {
|
||||
echo "Testing API endpoint..."
|
||||
response=$(curl -s --connect-timeout 10 --max-time 30 -w "\n%{http_code}" http://localhost:5300/api/v1/system/info 2>&1)
|
||||
curl_exit_code=$?
|
||||
|
||||
if [ $curl_exit_code -ne 0 ]; then
|
||||
echo "Curl failed with exit code: $curl_exit_code"
|
||||
echo "Error: $response"
|
||||
return 1
|
||||
fi
|
||||
|
||||
http_code=$(echo "$response" | tail -n 1)
|
||||
response_body=$(echo "$response" | head -n -1)
|
||||
|
||||
if [ "$http_code" = "200" ]; then
|
||||
echo "API is healthy! Response code: $http_code"
|
||||
echo "Response: $response_body"
|
||||
return 0
|
||||
else
|
||||
echo "API returned non-200 response: $http_code"
|
||||
echo "Response body: $response_body"
|
||||
return 1
|
||||
fi
|
||||
}
|
||||
|
||||
# Wait 30 seconds before first attempt
|
||||
echo "Waiting 30 seconds for services to start..."
|
||||
sleep 30
|
||||
|
||||
# Try up to 3 times with 30-second intervals
|
||||
max_attempts=3
|
||||
attempt=1
|
||||
|
||||
while [ $attempt -le $max_attempts ]; do
|
||||
echo "Attempt $attempt of $max_attempts"
|
||||
|
||||
if test_api; then
|
||||
echo "Success! API is responding correctly."
|
||||
exit 0
|
||||
fi
|
||||
|
||||
if [ $attempt -lt $max_attempts ]; then
|
||||
echo "Retrying in 30 seconds..."
|
||||
sleep 30
|
||||
fi
|
||||
|
||||
attempt=$((attempt + 1))
|
||||
done
|
||||
|
||||
# All attempts failed
|
||||
echo "Failed to get healthy response after $max_attempts attempts"
|
||||
exit 1
|
||||
|
||||
- name: Show Container Logs on Failure
|
||||
if: failure()
|
||||
working-directory: ./docker
|
||||
run: |
|
||||
echo "=== Docker Compose Status ==="
|
||||
docker compose ps
|
||||
echo ""
|
||||
echo "=== LangBot Logs ==="
|
||||
docker compose logs langbot
|
||||
echo ""
|
||||
echo "=== Plugin Runtime Logs ==="
|
||||
docker compose logs langbot_plugin_runtime
|
||||
|
||||
- name: Cleanup
|
||||
if: always()
|
||||
working-directory: ./docker
|
||||
run: docker compose down
|
||||
80
.github/workflows/test-pr.yml
vendored
80
.github/workflows/test-pr.yml
vendored
@@ -1,80 +0,0 @@
|
||||
name: Test Pull Request
|
||||
|
||||
on:
|
||||
pull_request:
|
||||
types: [ready_for_review]
|
||||
paths:
|
||||
# 任何py文件改动都会触发
|
||||
- '**.py'
|
||||
pull_request_review:
|
||||
types: [submitted]
|
||||
issue_comment:
|
||||
types: [created]
|
||||
# 允许手动触发
|
||||
workflow_dispatch:
|
||||
|
||||
jobs:
|
||||
perform-test:
|
||||
runs-on: ubuntu-latest
|
||||
# 如果事件为pull_request_review且review状态为approved,则执行
|
||||
if: >
|
||||
github.event_name == 'pull_request' ||
|
||||
(github.event_name == 'pull_request_review' && github.event.review.state == 'APPROVED') ||
|
||||
github.event_name == 'workflow_dispatch' ||
|
||||
(github.event_name == 'issue_comment' && github.event.issue.pull_request != '' && contains(github.event.comment.body, '/test') && github.event.comment.user.login == 'RockChinQ')
|
||||
steps:
|
||||
# 签出测试工程仓库代码
|
||||
- name: Checkout
|
||||
uses: actions/checkout@v2
|
||||
with:
|
||||
# 仓库地址
|
||||
repository: RockChinQ/qcg-tester
|
||||
# 仓库路径
|
||||
path: qcg-tester
|
||||
- name: Setup Python
|
||||
uses: actions/setup-python@v2
|
||||
with:
|
||||
python-version: '3.10'
|
||||
|
||||
- name: Install dependencies
|
||||
run: |
|
||||
cd qcg-tester
|
||||
python -m pip install --upgrade pip
|
||||
pip install -r requirements.txt
|
||||
|
||||
- name: Get PR details
|
||||
id: get-pr
|
||||
if: github.event_name == 'issue_comment'
|
||||
uses: octokit/request-action@v2.x
|
||||
with:
|
||||
route: GET /repos/${{ github.repository }}/pulls/${{ github.event.issue.number }}
|
||||
env:
|
||||
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
|
||||
|
||||
- name: Set PR source branch as env variable
|
||||
if: github.event_name == 'issue_comment'
|
||||
run: |
|
||||
PR_SOURCE_BRANCH=$(echo '${{ steps.get-pr.outputs.data }}' | jq -r '.head.ref')
|
||||
echo "BRANCH=$PR_SOURCE_BRANCH" >> $GITHUB_ENV
|
||||
|
||||
- name: Set PR Branch as bash env
|
||||
if: github.event_name != 'issue_comment'
|
||||
run: |
|
||||
echo "BRANCH=${{ github.head_ref }}" >> $GITHUB_ENV
|
||||
- name: Set OpenAI API Key from Secrets
|
||||
run: |
|
||||
echo "OPENAI_API_KEY=${{ secrets.OPENAI_API_KEY }}" >> $GITHUB_ENV
|
||||
- name: Set OpenAI Reverse Proxy URL from Secrets
|
||||
run: |
|
||||
echo "OPENAI_REVERSE_PROXY=${{ secrets.OPENAI_REVERSE_PROXY }}" >> $GITHUB_ENV
|
||||
- name: Run test
|
||||
run: |
|
||||
cd qcg-tester
|
||||
python main.py
|
||||
|
||||
- name: Upload coverage reports to Codecov
|
||||
run: |
|
||||
cd qcg-tester/resource/QChatGPT
|
||||
curl -Os https://uploader.codecov.io/latest/linux/codecov
|
||||
chmod +x codecov
|
||||
./codecov -t ${{ secrets.CODECOV_TOKEN }}
|
||||
36
.gitignore
vendored
36
.gitignore
vendored
@@ -2,10 +2,10 @@
|
||||
.idea/
|
||||
__pycache__/
|
||||
database.db
|
||||
qchatgpt.log
|
||||
langbot.log
|
||||
/banlist.py
|
||||
plugins/
|
||||
!plugins/__init__.py
|
||||
/plugins/
|
||||
!/plugins/__init__.py
|
||||
/revcfg.py
|
||||
prompts/
|
||||
logs/
|
||||
@@ -16,22 +16,40 @@ scenario/
|
||||
!scenario/default-template.json
|
||||
override.json
|
||||
cookies.json
|
||||
res/announcement_saved
|
||||
res/announcement_saved.json
|
||||
data/labels/announcement_saved.json
|
||||
cmdpriv.json
|
||||
tips.py
|
||||
.venv
|
||||
venv*
|
||||
bin/
|
||||
.vscode
|
||||
test_*
|
||||
/test_*
|
||||
venv/
|
||||
hugchat.json
|
||||
qcapi
|
||||
claude.json
|
||||
bard.json
|
||||
/*yaml
|
||||
!.pre-commit-config.yaml
|
||||
!components.yaml
|
||||
!/docker-compose.yaml
|
||||
res/instance_id.json
|
||||
data/labels/instance_id.json
|
||||
.DS_Store
|
||||
/data
|
||||
botpy.log
|
||||
botpy.log*
|
||||
/poc
|
||||
/libs/wecom_api/test.py
|
||||
/venv
|
||||
test.py
|
||||
/web_ui
|
||||
.venv/
|
||||
uv.lock
|
||||
/test
|
||||
plugins.bak
|
||||
coverage.xml
|
||||
.coverage
|
||||
src/langbot/web/
|
||||
|
||||
# Build artifacts
|
||||
/dist
|
||||
/build
|
||||
*.egg-info
|
||||
|
||||
27
.pre-commit-config.yaml
Normal file
27
.pre-commit-config.yaml
Normal file
@@ -0,0 +1,27 @@
|
||||
repos:
|
||||
- repo: https://github.com/astral-sh/ruff-pre-commit
|
||||
# Ruff version.
|
||||
rev: v0.11.7
|
||||
hooks:
|
||||
# Run the linter of backend.
|
||||
- id: ruff
|
||||
args: [--fix]
|
||||
# Run the formatter of backend.
|
||||
- id: ruff-format
|
||||
|
||||
- repo: https://github.com/pre-commit/mirrors-prettier
|
||||
rev: v3.1.0
|
||||
hooks:
|
||||
- id: prettier
|
||||
types_or: [javascript, jsx, ts, tsx, css, scss]
|
||||
additional_dependencies:
|
||||
- prettier@3.1.0
|
||||
|
||||
- repo: local
|
||||
hooks:
|
||||
- id: lint-staged
|
||||
name: lint-staged
|
||||
entry: cd web && pnpm lint-staged
|
||||
language: system
|
||||
types: [javascript, jsx, ts, tsx]
|
||||
pass_filenames: false
|
||||
86
AGENTS.md
Normal file
86
AGENTS.md
Normal file
@@ -0,0 +1,86 @@
|
||||
# AGENTS.md
|
||||
|
||||
This file is for guiding code agents (like Claude Code, GitHub Copilot, OpenAI Codex, etc.) to work in LangBot project.
|
||||
|
||||
## Project Overview
|
||||
|
||||
LangBot is a open-source LLM native instant messaging bot development platform, aiming to provide an out-of-the-box IM robot development experience, with Agent, RAG, MCP and other LLM application functions, supporting global instant messaging platforms, and providing rich API interfaces, supporting custom development.
|
||||
|
||||
LangBot has a comprehensive frontend, all operations can be performed through the frontend. The project splited into these major parts:
|
||||
|
||||
- `./pkg`: The core python package of the project backend.
|
||||
- `./pkg/platform`: The platform module of the project, containing the logic of message platform adapters, bot managers, message session managers, etc.
|
||||
- `./pkg/provider`: The provider module of the project, containing the logic of LLM providers, tool providers, etc.
|
||||
- `./pkg/pipeline`: The pipeline module of the project, containing the logic of pipelines, stages, query pool, etc.
|
||||
- `./pkg/api`: The api module of the project, containing the http api controllers and services.
|
||||
- `./pkg/plugin`: LangBot bridge for connecting with plugin system.
|
||||
- `./libs`: Some SDKs we previously developed for the project, such as `qq_official_api`, `wecom_api`, etc.
|
||||
- `./templates`: Templates of config files, components, etc.
|
||||
- `./web`: Frontend codebase, built with Next.js + **shadcn** + **Tailwind CSS**.
|
||||
- `./docker`: docker-compose deployment files.
|
||||
|
||||
## Backend Development
|
||||
|
||||
We use `uv` to manage dependencies.
|
||||
|
||||
```bash
|
||||
pip install uv
|
||||
uv sync --dev
|
||||
```
|
||||
|
||||
Start the backend and run the project in development mode.
|
||||
|
||||
```bash
|
||||
uv run main.py
|
||||
```
|
||||
|
||||
Then you can access the project at `http://127.0.0.1:5300`.
|
||||
|
||||
## Frontend Development
|
||||
|
||||
We use `pnpm` to manage dependencies.
|
||||
|
||||
```bash
|
||||
cd web
|
||||
cp .env.example .env
|
||||
pnpm install
|
||||
pnpm dev
|
||||
```
|
||||
|
||||
Then you can access the project at `http://127.0.0.1:3000`.
|
||||
|
||||
## Plugin System Architecture
|
||||
|
||||
LangBot is composed of various internal components such as Large Language Model tools, commands, messaging platform adapters, LLM requesters, and more. To meet extensibility and flexibility requirements, we have implemented a production-grade plugin system.
|
||||
|
||||
Each plugin runs in an independent process, managed uniformly by the Plugin Runtime. It has two operating modes: `stdio` and `websocket`. When LangBot is started directly by users (not running in a container), it uses `stdio` mode, which is common for personal users or lightweight environments. When LangBot runs in a container, it uses `websocket` mode, designed specifically for production environments.
|
||||
|
||||
Plugin Runtime automatically starts each installed plugin and interacts through stdio. In plugin development scenarios, developers can use the lbp command-line tool to start plugins and connect to the running Runtime via WebSocket for debugging.
|
||||
|
||||
> Plugin SDK, CLI, Runtime, and entities definitions shared between LangBot and plugins are contained in the [`langbot-plugin-sdk`](https://github.com/langbot-app/langbot-plugin-sdk) repository.
|
||||
|
||||
## Some Development Tips and Standards
|
||||
|
||||
- LangBot is a global project, any comments in code should be in English, and user experience should be considered in all aspects.
|
||||
- Thus you should consider the i18n support in all aspects.
|
||||
- LangBot is widely adopted in both toC and toB scenarios, so you should consider the compatibility and security in all aspects.
|
||||
- If you were asked to make a commit, please follow the commit message format:
|
||||
- format: <type>(<scope>): <subject>
|
||||
- type: must be a specific type, such as feat (new feature), fix (bug fix), docs (documentation), style (code style), refactor (refactoring), perf (performance optimization), etc.
|
||||
- scope: the scope of the commit, such as the package name, the file name, the function name, the class name, the module name, etc.
|
||||
- subject: the subject of the commit, such as the description of the commit, the reason for the commit, the impact of the commit, etc.
|
||||
|
||||
## Some Principles
|
||||
|
||||
- Keep it simple, stupid.
|
||||
- Entities should not be multiplied unnecessarily
|
||||
- 八荣八耻
|
||||
|
||||
以瞎猜接口为耻,以认真查询为荣。
|
||||
以模糊执行为耻,以寻求确认为荣。
|
||||
以臆想业务为耻,以人类确认为荣。
|
||||
以创造接口为耻,以复用现有为荣。
|
||||
以跳过验证为耻,以主动测试为荣。
|
||||
以破坏架构为耻,以遵循规范为荣。
|
||||
以假装理解为耻,以诚实无知为荣。
|
||||
以盲目修改为耻,以谨慎重构为荣。
|
||||
@@ -5,22 +5,27 @@
|
||||
### 贡献形式
|
||||
|
||||
- 提交PR,解决issues中提到的bug或期待的功能
|
||||
- 提交PR,实现您设想的功能(请先提出issue与作者沟通)
|
||||
- 优化代码架构,使各个模块的组织更加整洁优雅
|
||||
- 在issues中提出发现的bug或者期待的功能
|
||||
- 提交PR,实现您设想的功能(请先提出issue与项目维护者沟通)
|
||||
- 为本项目在其他社交平台撰写文章、制作视频等
|
||||
- 为本项目的衍生项目作出贡献,或开发插件增加功能
|
||||
|
||||
### 如何开始
|
||||
### 沟通语言规范
|
||||
|
||||
- 加入本项目交流群,一同探讨项目相关事务
|
||||
- 解决本项目或衍生项目的issues中亟待解决的问题
|
||||
- 阅读并完善本项目文档
|
||||
- 在各个社交媒体撰写本项目教程等
|
||||
- 在 PR 和 Commit Message 中请使用全英文
|
||||
- 对于中文用户,issue 中可以使用中文
|
||||
|
||||
### 代码规范
|
||||
<hr/>
|
||||
|
||||
- 代码中的注解`务必`符合Google风格的规范
|
||||
- 模块顶部的引入代码请遵循`系统模块`、`第三方库模块`、`自定义模块`的顺序进行引入
|
||||
- `不要`直接引入模块的特定属性,而是引入这个模块,再通过`xxx.yyy`的形式使用属性
|
||||
- 任何作用域的字段`必须`先声明后使用,并在声明处注明类型提示
|
||||
## Guidelines
|
||||
|
||||
### Contribution
|
||||
|
||||
- Submit PRs to solve bugs or features in the issues
|
||||
- Submit PRs to implement your ideas (Please create an issue first and communicate with the project maintainer)
|
||||
- Write articles or make videos about this project on other social platforms
|
||||
- Contribute to the development of derivative projects, or develop plugins to add features
|
||||
|
||||
### Spoken Language
|
||||
|
||||
- Use English in PRs and Commit Messages
|
||||
- For English users, you can use English in issues
|
||||
|
||||
18
Dockerfile
18
Dockerfile
@@ -1,11 +1,23 @@
|
||||
FROM python:3.10.13-slim
|
||||
FROM node:22-alpine AS node
|
||||
|
||||
WORKDIR /app
|
||||
|
||||
COPY web ./web
|
||||
|
||||
RUN cd web && npm install && npm run build
|
||||
|
||||
FROM python:3.12.7-slim
|
||||
|
||||
WORKDIR /app
|
||||
|
||||
COPY . .
|
||||
|
||||
COPY --from=node /app/web/out ./web/out
|
||||
|
||||
RUN apt update \
|
||||
&& apt install gcc -y \
|
||||
&& python -m pip install -r requirements.txt \
|
||||
&& python -m pip install --no-cache-dir uv \
|
||||
&& uv sync \
|
||||
&& touch /.dockerenv
|
||||
|
||||
CMD [ "python", "main.py" ]
|
||||
CMD [ "uv", "run", "main.py" ]
|
||||
862
LICENSE
862
LICENSE
@@ -1,661 +1,201 @@
|
||||
GNU AFFERO GENERAL PUBLIC LICENSE
|
||||
Version 3, 19 November 2007
|
||||
|
||||
Copyright (C) 2007 Free Software Foundation, Inc. <https://fsf.org/>
|
||||
Everyone is permitted to copy and distribute verbatim copies
|
||||
of this license document, but changing it is not allowed.
|
||||
|
||||
Preamble
|
||||
|
||||
The GNU Affero General Public License is a free, copyleft license for
|
||||
software and other kinds of works, specifically designed to ensure
|
||||
cooperation with the community in the case of network server software.
|
||||
|
||||
The licenses for most software and other practical works are designed
|
||||
to take away your freedom to share and change the works. By contrast,
|
||||
our General Public Licenses are intended to guarantee your freedom to
|
||||
share and change all versions of a program--to make sure it remains free
|
||||
software for all its users.
|
||||
|
||||
When we speak of free software, we are referring to freedom, not
|
||||
price. Our General Public Licenses are designed to make sure that you
|
||||
have the freedom to distribute copies of free software (and charge for
|
||||
them if you wish), that you receive source code or can get it if you
|
||||
want it, that you can change the software or use pieces of it in new
|
||||
free programs, and that you know you can do these things.
|
||||
|
||||
Developers that use our General Public Licenses protect your rights
|
||||
with two steps: (1) assert copyright on the software, and (2) offer
|
||||
you this License which gives you legal permission to copy, distribute
|
||||
and/or modify the software.
|
||||
|
||||
A secondary benefit of defending all users' freedom is that
|
||||
improvements made in alternate versions of the program, if they
|
||||
receive widespread use, become available for other developers to
|
||||
incorporate. Many developers of free software are heartened and
|
||||
encouraged by the resulting cooperation. However, in the case of
|
||||
software used on network servers, this result may fail to come about.
|
||||
The GNU General Public License permits making a modified version and
|
||||
letting the public access it on a server without ever releasing its
|
||||
source code to the public.
|
||||
|
||||
The GNU Affero General Public License is designed specifically to
|
||||
ensure that, in such cases, the modified source code becomes available
|
||||
to the community. It requires the operator of a network server to
|
||||
provide the source code of the modified version running there to the
|
||||
users of that server. Therefore, public use of a modified version, on
|
||||
a publicly accessible server, gives the public access to the source
|
||||
code of the modified version.
|
||||
|
||||
An older license, called the Affero General Public License and
|
||||
published by Affero, was designed to accomplish similar goals. This is
|
||||
a different license, not a version of the Affero GPL, but Affero has
|
||||
released a new version of the Affero GPL which permits relicensing under
|
||||
this license.
|
||||
|
||||
The precise terms and conditions for copying, distribution and
|
||||
modification follow.
|
||||
|
||||
TERMS AND CONDITIONS
|
||||
|
||||
0. Definitions.
|
||||
|
||||
"This License" refers to version 3 of the GNU Affero General Public License.
|
||||
|
||||
"Copyright" also means copyright-like laws that apply to other kinds of
|
||||
works, such as semiconductor masks.
|
||||
|
||||
"The Program" refers to any copyrightable work licensed under this
|
||||
License. Each licensee is addressed as "you". "Licensees" and
|
||||
"recipients" may be individuals or organizations.
|
||||
|
||||
To "modify" a work means to copy from or adapt all or part of the work
|
||||
in a fashion requiring copyright permission, other than the making of an
|
||||
exact copy. The resulting work is called a "modified version" of the
|
||||
earlier work or a work "based on" the earlier work.
|
||||
|
||||
A "covered work" means either the unmodified Program or a work based
|
||||
on the Program.
|
||||
|
||||
To "propagate" a work means to do anything with it that, without
|
||||
permission, would make you directly or secondarily liable for
|
||||
infringement under applicable copyright law, except executing it on a
|
||||
computer or modifying a private copy. Propagation includes copying,
|
||||
distribution (with or without modification), making available to the
|
||||
public, and in some countries other activities as well.
|
||||
|
||||
To "convey" a work means any kind of propagation that enables other
|
||||
parties to make or receive copies. Mere interaction with a user through
|
||||
a computer network, with no transfer of a copy, is not conveying.
|
||||
|
||||
An interactive user interface displays "Appropriate Legal Notices"
|
||||
to the extent that it includes a convenient and prominently visible
|
||||
feature that (1) displays an appropriate copyright notice, and (2)
|
||||
tells the user that there is no warranty for the work (except to the
|
||||
extent that warranties are provided), that licensees may convey the
|
||||
work under this License, and how to view a copy of this License. If
|
||||
the interface presents a list of user commands or options, such as a
|
||||
menu, a prominent item in the list meets this criterion.
|
||||
|
||||
1. Source Code.
|
||||
|
||||
The "source code" for a work means the preferred form of the work
|
||||
for making modifications to it. "Object code" means any non-source
|
||||
form of a work.
|
||||
|
||||
A "Standard Interface" means an interface that either is an official
|
||||
standard defined by a recognized standards body, or, in the case of
|
||||
interfaces specified for a particular programming language, one that
|
||||
is widely used among developers working in that language.
|
||||
|
||||
The "System Libraries" of an executable work include anything, other
|
||||
than the work as a whole, that (a) is included in the normal form of
|
||||
packaging a Major Component, but which is not part of that Major
|
||||
Component, and (b) serves only to enable use of the work with that
|
||||
Major Component, or to implement a Standard Interface for which an
|
||||
implementation is available to the public in source code form. A
|
||||
"Major Component", in this context, means a major essential component
|
||||
(kernel, window system, and so on) of the specific operating system
|
||||
(if any) on which the executable work runs, or a compiler used to
|
||||
produce the work, or an object code interpreter used to run it.
|
||||
|
||||
The "Corresponding Source" for a work in object code form means all
|
||||
the source code needed to generate, install, and (for an executable
|
||||
work) run the object code and to modify the work, including scripts to
|
||||
control those activities. However, it does not include the work's
|
||||
System Libraries, or general-purpose tools or generally available free
|
||||
programs which are used unmodified in performing those activities but
|
||||
which are not part of the work. For example, Corresponding Source
|
||||
includes interface definition files associated with source files for
|
||||
the work, and the source code for shared libraries and dynamically
|
||||
linked subprograms that the work is specifically designed to require,
|
||||
such as by intimate data communication or control flow between those
|
||||
subprograms and other parts of the work.
|
||||
|
||||
The Corresponding Source need not include anything that users
|
||||
can regenerate automatically from other parts of the Corresponding
|
||||
Source.
|
||||
|
||||
The Corresponding Source for a work in source code form is that
|
||||
same work.
|
||||
|
||||
2. Basic Permissions.
|
||||
|
||||
All rights granted under this License are granted for the term of
|
||||
copyright on the Program, and are irrevocable provided the stated
|
||||
conditions are met. This License explicitly affirms your unlimited
|
||||
permission to run the unmodified Program. The output from running a
|
||||
covered work is covered by this License only if the output, given its
|
||||
content, constitutes a covered work. This License acknowledges your
|
||||
rights of fair use or other equivalent, as provided by copyright law.
|
||||
|
||||
You may make, run and propagate covered works that you do not
|
||||
convey, without conditions so long as your license otherwise remains
|
||||
in force. You may convey covered works to others for the sole purpose
|
||||
of having them make modifications exclusively for you, or provide you
|
||||
with facilities for running those works, provided that you comply with
|
||||
the terms of this License in conveying all material for which you do
|
||||
not control copyright. Those thus making or running the covered works
|
||||
for you must do so exclusively on your behalf, under your direction
|
||||
and control, on terms that prohibit them from making any copies of
|
||||
your copyrighted material outside their relationship with you.
|
||||
|
||||
Conveying under any other circumstances is permitted solely under
|
||||
the conditions stated below. Sublicensing is not allowed; section 10
|
||||
makes it unnecessary.
|
||||
|
||||
3. Protecting Users' Legal Rights From Anti-Circumvention Law.
|
||||
|
||||
No covered work shall be deemed part of an effective technological
|
||||
measure under any applicable law fulfilling obligations under article
|
||||
11 of the WIPO copyright treaty adopted on 20 December 1996, or
|
||||
similar laws prohibiting or restricting circumvention of such
|
||||
measures.
|
||||
|
||||
When you convey a covered work, you waive any legal power to forbid
|
||||
circumvention of technological measures to the extent such circumvention
|
||||
is effected by exercising rights under this License with respect to
|
||||
the covered work, and you disclaim any intention to limit operation or
|
||||
modification of the work as a means of enforcing, against the work's
|
||||
users, your or third parties' legal rights to forbid circumvention of
|
||||
technological measures.
|
||||
|
||||
4. Conveying Verbatim Copies.
|
||||
|
||||
You may convey verbatim copies of the Program's source code as you
|
||||
receive it, in any medium, provided that you conspicuously and
|
||||
appropriately publish on each copy an appropriate copyright notice;
|
||||
keep intact all notices stating that this License and any
|
||||
non-permissive terms added in accord with section 7 apply to the code;
|
||||
keep intact all notices of the absence of any warranty; and give all
|
||||
recipients a copy of this License along with the Program.
|
||||
|
||||
You may charge any price or no price for each copy that you convey,
|
||||
and you may offer support or warranty protection for a fee.
|
||||
|
||||
5. Conveying Modified Source Versions.
|
||||
|
||||
You may convey a work based on the Program, or the modifications to
|
||||
produce it from the Program, in the form of source code under the
|
||||
terms of section 4, provided that you also meet all of these conditions:
|
||||
|
||||
a) The work must carry prominent notices stating that you modified
|
||||
it, and giving a relevant date.
|
||||
|
||||
b) The work must carry prominent notices stating that it is
|
||||
released under this License and any conditions added under section
|
||||
7. This requirement modifies the requirement in section 4 to
|
||||
"keep intact all notices".
|
||||
|
||||
c) You must license the entire work, as a whole, under this
|
||||
License to anyone who comes into possession of a copy. This
|
||||
License will therefore apply, along with any applicable section 7
|
||||
additional terms, to the whole of the work, and all its parts,
|
||||
regardless of how they are packaged. This License gives no
|
||||
permission to license the work in any other way, but it does not
|
||||
invalidate such permission if you have separately received it.
|
||||
|
||||
d) If the work has interactive user interfaces, each must display
|
||||
Appropriate Legal Notices; however, if the Program has interactive
|
||||
interfaces that do not display Appropriate Legal Notices, your
|
||||
work need not make them do so.
|
||||
|
||||
A compilation of a covered work with other separate and independent
|
||||
works, which are not by their nature extensions of the covered work,
|
||||
and which are not combined with it such as to form a larger program,
|
||||
in or on a volume of a storage or distribution medium, is called an
|
||||
"aggregate" if the compilation and its resulting copyright are not
|
||||
used to limit the access or legal rights of the compilation's users
|
||||
beyond what the individual works permit. Inclusion of a covered work
|
||||
in an aggregate does not cause this License to apply to the other
|
||||
parts of the aggregate.
|
||||
|
||||
6. Conveying Non-Source Forms.
|
||||
|
||||
You may convey a covered work in object code form under the terms
|
||||
of sections 4 and 5, provided that you also convey the
|
||||
machine-readable Corresponding Source under the terms of this License,
|
||||
in one of these ways:
|
||||
|
||||
a) Convey the object code in, or embodied in, a physical product
|
||||
(including a physical distribution medium), accompanied by the
|
||||
Corresponding Source fixed on a durable physical medium
|
||||
customarily used for software interchange.
|
||||
|
||||
b) Convey the object code in, or embodied in, a physical product
|
||||
(including a physical distribution medium), accompanied by a
|
||||
written offer, valid for at least three years and valid for as
|
||||
long as you offer spare parts or customer support for that product
|
||||
model, to give anyone who possesses the object code either (1) a
|
||||
copy of the Corresponding Source for all the software in the
|
||||
product that is covered by this License, on a durable physical
|
||||
medium customarily used for software interchange, for a price no
|
||||
more than your reasonable cost of physically performing this
|
||||
conveying of source, or (2) access to copy the
|
||||
Corresponding Source from a network server at no charge.
|
||||
|
||||
c) Convey individual copies of the object code with a copy of the
|
||||
written offer to provide the Corresponding Source. This
|
||||
alternative is allowed only occasionally and noncommercially, and
|
||||
only if you received the object code with such an offer, in accord
|
||||
with subsection 6b.
|
||||
|
||||
d) Convey the object code by offering access from a designated
|
||||
place (gratis or for a charge), and offer equivalent access to the
|
||||
Corresponding Source in the same way through the same place at no
|
||||
further charge. You need not require recipients to copy the
|
||||
Corresponding Source along with the object code. If the place to
|
||||
copy the object code is a network server, the Corresponding Source
|
||||
may be on a different server (operated by you or a third party)
|
||||
that supports equivalent copying facilities, provided you maintain
|
||||
clear directions next to the object code saying where to find the
|
||||
Corresponding Source. Regardless of what server hosts the
|
||||
Corresponding Source, you remain obligated to ensure that it is
|
||||
available for as long as needed to satisfy these requirements.
|
||||
|
||||
e) Convey the object code using peer-to-peer transmission, provided
|
||||
you inform other peers where the object code and Corresponding
|
||||
Source of the work are being offered to the general public at no
|
||||
charge under subsection 6d.
|
||||
|
||||
A separable portion of the object code, whose source code is excluded
|
||||
from the Corresponding Source as a System Library, need not be
|
||||
included in conveying the object code work.
|
||||
|
||||
A "User Product" is either (1) a "consumer product", which means any
|
||||
tangible personal property which is normally used for personal, family,
|
||||
or household purposes, or (2) anything designed or sold for incorporation
|
||||
into a dwelling. In determining whether a product is a consumer product,
|
||||
doubtful cases shall be resolved in favor of coverage. For a particular
|
||||
product received by a particular user, "normally used" refers to a
|
||||
typical or common use of that class of product, regardless of the status
|
||||
of the particular user or of the way in which the particular user
|
||||
actually uses, or expects or is expected to use, the product. A product
|
||||
is a consumer product regardless of whether the product has substantial
|
||||
commercial, industrial or non-consumer uses, unless such uses represent
|
||||
the only significant mode of use of the product.
|
||||
|
||||
"Installation Information" for a User Product means any methods,
|
||||
procedures, authorization keys, or other information required to install
|
||||
and execute modified versions of a covered work in that User Product from
|
||||
a modified version of its Corresponding Source. The information must
|
||||
suffice to ensure that the continued functioning of the modified object
|
||||
code is in no case prevented or interfered with solely because
|
||||
modification has been made.
|
||||
|
||||
If you convey an object code work under this section in, or with, or
|
||||
specifically for use in, a User Product, and the conveying occurs as
|
||||
part of a transaction in which the right of possession and use of the
|
||||
User Product is transferred to the recipient in perpetuity or for a
|
||||
fixed term (regardless of how the transaction is characterized), the
|
||||
Corresponding Source conveyed under this section must be accompanied
|
||||
by the Installation Information. But this requirement does not apply
|
||||
if neither you nor any third party retains the ability to install
|
||||
modified object code on the User Product (for example, the work has
|
||||
been installed in ROM).
|
||||
|
||||
The requirement to provide Installation Information does not include a
|
||||
requirement to continue to provide support service, warranty, or updates
|
||||
for a work that has been modified or installed by the recipient, or for
|
||||
the User Product in which it has been modified or installed. Access to a
|
||||
network may be denied when the modification itself materially and
|
||||
adversely affects the operation of the network or violates the rules and
|
||||
protocols for communication across the network.
|
||||
|
||||
Corresponding Source conveyed, and Installation Information provided,
|
||||
in accord with this section must be in a format that is publicly
|
||||
documented (and with an implementation available to the public in
|
||||
source code form), and must require no special password or key for
|
||||
unpacking, reading or copying.
|
||||
|
||||
7. Additional Terms.
|
||||
|
||||
"Additional permissions" are terms that supplement the terms of this
|
||||
License by making exceptions from one or more of its conditions.
|
||||
Additional permissions that are applicable to the entire Program shall
|
||||
be treated as though they were included in this License, to the extent
|
||||
that they are valid under applicable law. If additional permissions
|
||||
apply only to part of the Program, that part may be used separately
|
||||
under those permissions, but the entire Program remains governed by
|
||||
this License without regard to the additional permissions.
|
||||
|
||||
When you convey a copy of a covered work, you may at your option
|
||||
remove any additional permissions from that copy, or from any part of
|
||||
it. (Additional permissions may be written to require their own
|
||||
removal in certain cases when you modify the work.) You may place
|
||||
additional permissions on material, added by you to a covered work,
|
||||
for which you have or can give appropriate copyright permission.
|
||||
|
||||
Notwithstanding any other provision of this License, for material you
|
||||
add to a covered work, you may (if authorized by the copyright holders of
|
||||
that material) supplement the terms of this License with terms:
|
||||
|
||||
a) Disclaiming warranty or limiting liability differently from the
|
||||
terms of sections 15 and 16 of this License; or
|
||||
|
||||
b) Requiring preservation of specified reasonable legal notices or
|
||||
author attributions in that material or in the Appropriate Legal
|
||||
Notices displayed by works containing it; or
|
||||
|
||||
c) Prohibiting misrepresentation of the origin of that material, or
|
||||
requiring that modified versions of such material be marked in
|
||||
reasonable ways as different from the original version; or
|
||||
|
||||
d) Limiting the use for publicity purposes of names of licensors or
|
||||
authors of the material; or
|
||||
|
||||
e) Declining to grant rights under trademark law for use of some
|
||||
trade names, trademarks, or service marks; or
|
||||
|
||||
f) Requiring indemnification of licensors and authors of that
|
||||
material by anyone who conveys the material (or modified versions of
|
||||
it) with contractual assumptions of liability to the recipient, for
|
||||
any liability that these contractual assumptions directly impose on
|
||||
those licensors and authors.
|
||||
|
||||
All other non-permissive additional terms are considered "further
|
||||
restrictions" within the meaning of section 10. If the Program as you
|
||||
received it, or any part of it, contains a notice stating that it is
|
||||
governed by this License along with a term that is a further
|
||||
restriction, you may remove that term. If a license document contains
|
||||
a further restriction but permits relicensing or conveying under this
|
||||
License, you may add to a covered work material governed by the terms
|
||||
of that license document, provided that the further restriction does
|
||||
not survive such relicensing or conveying.
|
||||
|
||||
If you add terms to a covered work in accord with this section, you
|
||||
must place, in the relevant source files, a statement of the
|
||||
additional terms that apply to those files, or a notice indicating
|
||||
where to find the applicable terms.
|
||||
|
||||
Additional terms, permissive or non-permissive, may be stated in the
|
||||
form of a separately written license, or stated as exceptions;
|
||||
the above requirements apply either way.
|
||||
|
||||
8. Termination.
|
||||
|
||||
You may not propagate or modify a covered work except as expressly
|
||||
provided under this License. Any attempt otherwise to propagate or
|
||||
modify it is void, and will automatically terminate your rights under
|
||||
this License (including any patent licenses granted under the third
|
||||
paragraph of section 11).
|
||||
|
||||
However, if you cease all violation of this License, then your
|
||||
license from a particular copyright holder is reinstated (a)
|
||||
provisionally, unless and until the copyright holder explicitly and
|
||||
finally terminates your license, and (b) permanently, if the copyright
|
||||
holder fails to notify you of the violation by some reasonable means
|
||||
prior to 60 days after the cessation.
|
||||
|
||||
Moreover, your license from a particular copyright holder is
|
||||
reinstated permanently if the copyright holder notifies you of the
|
||||
violation by some reasonable means, this is the first time you have
|
||||
received notice of violation of this License (for any work) from that
|
||||
copyright holder, and you cure the violation prior to 30 days after
|
||||
your receipt of the notice.
|
||||
|
||||
Termination of your rights under this section does not terminate the
|
||||
licenses of parties who have received copies or rights from you under
|
||||
this License. If your rights have been terminated and not permanently
|
||||
reinstated, you do not qualify to receive new licenses for the same
|
||||
material under section 10.
|
||||
|
||||
9. Acceptance Not Required for Having Copies.
|
||||
|
||||
You are not required to accept this License in order to receive or
|
||||
run a copy of the Program. Ancillary propagation of a covered work
|
||||
occurring solely as a consequence of using peer-to-peer transmission
|
||||
to receive a copy likewise does not require acceptance. However,
|
||||
nothing other than this License grants you permission to propagate or
|
||||
modify any covered work. These actions infringe copyright if you do
|
||||
not accept this License. Therefore, by modifying or propagating a
|
||||
covered work, you indicate your acceptance of this License to do so.
|
||||
|
||||
10. Automatic Licensing of Downstream Recipients.
|
||||
|
||||
Each time you convey a covered work, the recipient automatically
|
||||
receives a license from the original licensors, to run, modify and
|
||||
propagate that work, subject to this License. You are not responsible
|
||||
for enforcing compliance by third parties with this License.
|
||||
|
||||
An "entity transaction" is a transaction transferring control of an
|
||||
organization, or substantially all assets of one, or subdividing an
|
||||
organization, or merging organizations. If propagation of a covered
|
||||
work results from an entity transaction, each party to that
|
||||
transaction who receives a copy of the work also receives whatever
|
||||
licenses to the work the party's predecessor in interest had or could
|
||||
give under the previous paragraph, plus a right to possession of the
|
||||
Corresponding Source of the work from the predecessor in interest, if
|
||||
the predecessor has it or can get it with reasonable efforts.
|
||||
|
||||
You may not impose any further restrictions on the exercise of the
|
||||
rights granted or affirmed under this License. For example, you may
|
||||
not impose a license fee, royalty, or other charge for exercise of
|
||||
rights granted under this License, and you may not initiate litigation
|
||||
(including a cross-claim or counterclaim in a lawsuit) alleging that
|
||||
any patent claim is infringed by making, using, selling, offering for
|
||||
sale, or importing the Program or any portion of it.
|
||||
|
||||
11. Patents.
|
||||
|
||||
A "contributor" is a copyright holder who authorizes use under this
|
||||
License of the Program or a work on which the Program is based. The
|
||||
work thus licensed is called the contributor's "contributor version".
|
||||
|
||||
A contributor's "essential patent claims" are all patent claims
|
||||
owned or controlled by the contributor, whether already acquired or
|
||||
hereafter acquired, that would be infringed by some manner, permitted
|
||||
by this License, of making, using, or selling its contributor version,
|
||||
but do not include claims that would be infringed only as a
|
||||
consequence of further modification of the contributor version. For
|
||||
purposes of this definition, "control" includes the right to grant
|
||||
patent sublicenses in a manner consistent with the requirements of
|
||||
this License.
|
||||
|
||||
Each contributor grants you a non-exclusive, worldwide, royalty-free
|
||||
patent license under the contributor's essential patent claims, to
|
||||
make, use, sell, offer for sale, import and otherwise run, modify and
|
||||
propagate the contents of its contributor version.
|
||||
|
||||
In the following three paragraphs, a "patent license" is any express
|
||||
agreement or commitment, however denominated, not to enforce a patent
|
||||
(such as an express permission to practice a patent or covenant not to
|
||||
sue for patent infringement). To "grant" such a patent license to a
|
||||
party means to make such an agreement or commitment not to enforce a
|
||||
patent against the party.
|
||||
|
||||
If you convey a covered work, knowingly relying on a patent license,
|
||||
and the Corresponding Source of the work is not available for anyone
|
||||
to copy, free of charge and under the terms of this License, through a
|
||||
publicly available network server or other readily accessible means,
|
||||
then you must either (1) cause the Corresponding Source to be so
|
||||
available, or (2) arrange to deprive yourself of the benefit of the
|
||||
patent license for this particular work, or (3) arrange, in a manner
|
||||
consistent with the requirements of this License, to extend the patent
|
||||
license to downstream recipients. "Knowingly relying" means you have
|
||||
actual knowledge that, but for the patent license, your conveying the
|
||||
covered work in a country, or your recipient's use of the covered work
|
||||
in a country, would infringe one or more identifiable patents in that
|
||||
country that you have reason to believe are valid.
|
||||
|
||||
If, pursuant to or in connection with a single transaction or
|
||||
arrangement, you convey, or propagate by procuring conveyance of, a
|
||||
covered work, and grant a patent license to some of the parties
|
||||
receiving the covered work authorizing them to use, propagate, modify
|
||||
or convey a specific copy of the covered work, then the patent license
|
||||
you grant is automatically extended to all recipients of the covered
|
||||
work and works based on it.
|
||||
|
||||
A patent license is "discriminatory" if it does not include within
|
||||
the scope of its coverage, prohibits the exercise of, or is
|
||||
conditioned on the non-exercise of one or more of the rights that are
|
||||
specifically granted under this License. You may not convey a covered
|
||||
work if you are a party to an arrangement with a third party that is
|
||||
in the business of distributing software, under which you make payment
|
||||
to the third party based on the extent of your activity of conveying
|
||||
the work, and under which the third party grants, to any of the
|
||||
parties who would receive the covered work from you, a discriminatory
|
||||
patent license (a) in connection with copies of the covered work
|
||||
conveyed by you (or copies made from those copies), or (b) primarily
|
||||
for and in connection with specific products or compilations that
|
||||
contain the covered work, unless you entered into that arrangement,
|
||||
or that patent license was granted, prior to 28 March 2007.
|
||||
|
||||
Nothing in this License shall be construed as excluding or limiting
|
||||
any implied license or other defenses to infringement that may
|
||||
otherwise be available to you under applicable patent law.
|
||||
|
||||
12. No Surrender of Others' Freedom.
|
||||
|
||||
If conditions are imposed on you (whether by court order, agreement or
|
||||
otherwise) that contradict the conditions of this License, they do not
|
||||
excuse you from the conditions of this License. If you cannot convey a
|
||||
covered work so as to satisfy simultaneously your obligations under this
|
||||
License and any other pertinent obligations, then as a consequence you may
|
||||
not convey it at all. For example, if you agree to terms that obligate you
|
||||
to collect a royalty for further conveying from those to whom you convey
|
||||
the Program, the only way you could satisfy both those terms and this
|
||||
License would be to refrain entirely from conveying the Program.
|
||||
|
||||
13. Remote Network Interaction; Use with the GNU General Public License.
|
||||
|
||||
Notwithstanding any other provision of this License, if you modify the
|
||||
Program, your modified version must prominently offer all users
|
||||
interacting with it remotely through a computer network (if your version
|
||||
supports such interaction) an opportunity to receive the Corresponding
|
||||
Source of your version by providing access to the Corresponding Source
|
||||
from a network server at no charge, through some standard or customary
|
||||
means of facilitating copying of software. This Corresponding Source
|
||||
shall include the Corresponding Source for any work covered by version 3
|
||||
of the GNU General Public License that is incorporated pursuant to the
|
||||
following paragraph.
|
||||
|
||||
Notwithstanding any other provision of this License, you have
|
||||
permission to link or combine any covered work with a work licensed
|
||||
under version 3 of the GNU General Public License into a single
|
||||
combined work, and to convey the resulting work. The terms of this
|
||||
License will continue to apply to the part which is the covered work,
|
||||
but the work with which it is combined will remain governed by version
|
||||
3 of the GNU General Public License.
|
||||
|
||||
14. Revised Versions of this License.
|
||||
|
||||
The Free Software Foundation may publish revised and/or new versions of
|
||||
the GNU Affero General Public License from time to time. Such new versions
|
||||
will be similar in spirit to the present version, but may differ in detail to
|
||||
address new problems or concerns.
|
||||
|
||||
Each version is given a distinguishing version number. If the
|
||||
Program specifies that a certain numbered version of the GNU Affero General
|
||||
Public License "or any later version" applies to it, you have the
|
||||
option of following the terms and conditions either of that numbered
|
||||
version or of any later version published by the Free Software
|
||||
Foundation. If the Program does not specify a version number of the
|
||||
GNU Affero General Public License, you may choose any version ever published
|
||||
by the Free Software Foundation.
|
||||
|
||||
If the Program specifies that a proxy can decide which future
|
||||
versions of the GNU Affero General Public License can be used, that proxy's
|
||||
public statement of acceptance of a version permanently authorizes you
|
||||
to choose that version for the Program.
|
||||
|
||||
Later license versions may give you additional or different
|
||||
permissions. However, no additional obligations are imposed on any
|
||||
author or copyright holder as a result of your choosing to follow a
|
||||
later version.
|
||||
|
||||
15. Disclaimer of Warranty.
|
||||
|
||||
THERE IS NO WARRANTY FOR THE PROGRAM, TO THE EXTENT PERMITTED BY
|
||||
APPLICABLE LAW. EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT
|
||||
HOLDERS AND/OR OTHER PARTIES PROVIDE THE PROGRAM "AS IS" WITHOUT WARRANTY
|
||||
OF ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING, BUT NOT LIMITED TO,
|
||||
THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
|
||||
PURPOSE. THE ENTIRE RISK AS TO THE QUALITY AND PERFORMANCE OF THE PROGRAM
|
||||
IS WITH YOU. SHOULD THE PROGRAM PROVE DEFECTIVE, YOU ASSUME THE COST OF
|
||||
ALL NECESSARY SERVICING, REPAIR OR CORRECTION.
|
||||
|
||||
16. Limitation of Liability.
|
||||
|
||||
IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING
|
||||
WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MODIFIES AND/OR CONVEYS
|
||||
THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY
|
||||
GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE
|
||||
USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF
|
||||
DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD
|
||||
PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS),
|
||||
EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF
|
||||
SUCH DAMAGES.
|
||||
|
||||
17. Interpretation of Sections 15 and 16.
|
||||
|
||||
If the disclaimer of warranty and limitation of liability provided
|
||||
above cannot be given local legal effect according to their terms,
|
||||
reviewing courts shall apply local law that most closely approximates
|
||||
an absolute waiver of all civil liability in connection with the
|
||||
Program, unless a warranty or assumption of liability accompanies a
|
||||
copy of the Program in return for a fee.
|
||||
|
||||
END OF TERMS AND CONDITIONS
|
||||
|
||||
How to Apply These Terms to Your New Programs
|
||||
|
||||
If you develop a new program, and you want it to be of the greatest
|
||||
possible use to the public, the best way to achieve this is to make it
|
||||
free software which everyone can redistribute and change under these terms.
|
||||
|
||||
To do so, attach the following notices to the program. It is safest
|
||||
to attach them to the start of each source file to most effectively
|
||||
state the exclusion of warranty; and each file should have at least
|
||||
the "copyright" line and a pointer to where the full notice is found.
|
||||
|
||||
<one line to give the program's name and a brief idea of what it does.>
|
||||
Copyright (C) <year> <name of author>
|
||||
|
||||
This program is free software: you can redistribute it and/or modify
|
||||
it under the terms of the GNU Affero General Public License as published
|
||||
by the Free Software Foundation, either version 3 of the License, or
|
||||
(at your option) any later version.
|
||||
|
||||
This program is distributed in the hope that it will be useful,
|
||||
but WITHOUT ANY WARRANTY; without even the implied warranty of
|
||||
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
|
||||
GNU Affero General Public License for more details.
|
||||
|
||||
You should have received a copy of the GNU Affero General Public License
|
||||
along with this program. If not, see <https://www.gnu.org/licenses/>.
|
||||
|
||||
Also add information on how to contact you by electronic and paper mail.
|
||||
|
||||
If your software can interact with users remotely through a computer
|
||||
network, you should also make sure that it provides a way for users to
|
||||
get its source. For example, if your program is a web application, its
|
||||
interface could display a "Source" link that leads users to an archive
|
||||
of the code. There are many ways you could offer source, and different
|
||||
solutions will be better for different programs; see section 13 for the
|
||||
specific requirements.
|
||||
|
||||
You should also get your employer (if you work as a programmer) or school,
|
||||
if any, to sign a "copyright disclaimer" for the program, if necessary.
|
||||
For more information on this, and how to apply and follow the GNU AGPL, see
|
||||
<https://www.gnu.org/licenses/>.
|
||||
Apache License
|
||||
Version 2.0, January 2004
|
||||
http://www.apache.org/licenses/
|
||||
|
||||
TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
|
||||
|
||||
1. Definitions.
|
||||
|
||||
"License" shall mean the terms and conditions for use, reproduction,
|
||||
and distribution as defined by Sections 1 through 9 of this document.
|
||||
|
||||
"Licensor" shall mean the copyright owner or entity authorized by
|
||||
the copyright owner that is granting the License.
|
||||
|
||||
"Legal Entity" shall mean the union of the acting entity and all
|
||||
other entities that control, are controlled by, or are under common
|
||||
control with that entity. For the purposes of this definition,
|
||||
"control" means (i) the power, direct or indirect, to cause the
|
||||
direction or management of such entity, whether by contract or
|
||||
otherwise, or (ii) ownership of fifty percent (50%) or more of the
|
||||
outstanding shares, or (iii) beneficial ownership of such entity.
|
||||
|
||||
"You" (or "Your") shall mean an individual or Legal Entity
|
||||
exercising permissions granted by this License.
|
||||
|
||||
"Source" form shall mean the preferred form for making modifications,
|
||||
including but not limited to software source code, documentation
|
||||
source, and configuration files.
|
||||
|
||||
"Object" form shall mean any form resulting from mechanical
|
||||
transformation or translation of a Source form, including but
|
||||
not limited to compiled object code, generated documentation,
|
||||
and conversions to other media types.
|
||||
|
||||
"Work" shall mean the work of authorship, whether in Source or
|
||||
Object form, made available under the License, as indicated by a
|
||||
copyright notice that is included in or attached to the work
|
||||
(an example is provided in the Appendix below).
|
||||
|
||||
"Derivative Works" shall mean any work, whether in Source or Object
|
||||
form, that is based on (or derived from) the Work and for which the
|
||||
editorial revisions, annotations, elaborations, or other modifications
|
||||
represent, as a whole, an original work of authorship. For the purposes
|
||||
of this License, Derivative Works shall not include works that remain
|
||||
separable from, or merely link (or bind by name) to the interfaces of,
|
||||
the Work and Derivative Works thereof.
|
||||
|
||||
"Contribution" shall mean any work of authorship, including
|
||||
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197
README.md
197
README.md
@@ -1,49 +1,170 @@
|
||||
|
||||
<p align="center">
|
||||
<img src="https://qchatgpt.rockchin.top/logo.png" alt="QChatGPT" width="180" />
|
||||
</p>
|
||||
<a href="https://langbot.app">
|
||||
<img src="https://docs.langbot.app/social_zh.png" alt="LangBot"/>
|
||||
</a>
|
||||
|
||||
<div align="center">
|
||||
|
||||
# QChatGPT
|
||||
<a href="https://hellogithub.com/repository/langbot-app/LangBot" target="_blank"><img src="https://abroad.hellogithub.com/v1/widgets/recommend.svg?rid=5ce8ae2aa4f74316bf393b57b952433c&claim_uid=gtmc6YWjMZkT21R" alt="Featured|HelloGitHub" style="width: 250px; height: 54px;" width="250" height="54" /></a>
|
||||
|
||||
[](https://github.com/RockChinQ/QChatGPT/releases/latest)
|
||||
<a href="https://hub.docker.com/repository/docker/rockchin/qchatgpt">
|
||||
<img src="https://img.shields.io/docker/pulls/rockchin/qchatgpt?color=blue" alt="docker pull">
|
||||
</a>
|
||||

|
||||
<a href="https://codecov.io/gh/RockChinQ/QChatGPT" >
|
||||
<img src="https://codecov.io/gh/RockChinQ/QChatGPT/graph/badge.svg?token=pjxYIL2kbC"/>
|
||||
</a>
|
||||
<br/>
|
||||
<img src="https://img.shields.io/badge/python-3.9 | 3.10 | 3.11-blue.svg" alt="python">
|
||||
<a href="http://qm.qq.com/cgi-bin/qm/qr?_wv=1027&k=66-aWvn8cbP4c1ut_1YYkvvGVeEtyTH8&authKey=pTaKBK5C%2B8dFzQ4XlENf6MHTCLaHnlKcCRx7c14EeVVlpX2nRSaS8lJm8YeM4mCU&noverify=0&group_code=195992197">
|
||||
<img alt="Static Badge" src="https://img.shields.io/badge/%E5%AE%98%E6%96%B9%E7%BE%A4-195992197-purple">
|
||||
</a>
|
||||
<a href="http://qm.qq.com/cgi-bin/qm/qr?_wv=1027&k=nC80H57wmKPwRDLFeQrDDjVl81XuC21P&authKey=2wTUTfoQ5v%2BD4C5zfpuR%2BSPMDqdXgDXA%2FS2wHI1NxTfWIG%2B%2FqK08dgyjMMOzhXa9&noverify=0&group_code=248432104">
|
||||
<img alt="Static Badge" src="https://img.shields.io/badge/%E7%A4%BE%E5%8C%BA%E7%BE%A4-248432104-purple">
|
||||
</a>
|
||||
<a href="https://www.bilibili.com/video/BV14h4y1w7TC">
|
||||
<img alt="Static Badge" src="https://img.shields.io/badge/%E8%A7%86%E9%A2%91%E6%95%99%E7%A8%8B-208647">
|
||||
</a>
|
||||
<a href="https://www.bilibili.com/video/BV11h4y1y74H">
|
||||
<img alt="Static Badge" src="https://img.shields.io/badge/Linux%E9%83%A8%E7%BD%B2%E8%A7%86%E9%A2%91-208647">
|
||||
</a>
|
||||
[English](README_EN.md) / 简体中文 / [繁體中文](README_TW.md) / [日本語](README_JP.md) / (PR for your language)
|
||||
|
||||
## 使用文档
|
||||
[](https://discord.gg/wdNEHETs87)
|
||||
[](https://qm.qq.com/q/JLi38whHum)
|
||||
[](https://deepwiki.com/langbot-app/LangBot)
|
||||
[](https://github.com/langbot-app/LangBot/releases/latest)
|
||||
<img src="https://img.shields.io/badge/python-3.10 ~ 3.13 -blue.svg" alt="python">
|
||||
[](https://gitcode.com/RockChinQ/LangBot)
|
||||
|
||||
<a href="https://qchatgpt.rockchin.top">项目主页</a> |
|
||||
<a href="https://qchatgpt.rockchin.top/posts/feature.html">功能介绍</a> |
|
||||
<a href="https://qchatgpt.rockchin.top/posts/deploy/">部署文档</a> |
|
||||
<a href="https://qchatgpt.rockchin.top/posts/error/">常见问题</a> |
|
||||
<a href="https://qchatgpt.rockchin.top/posts/plugin/intro.html">插件介绍</a> |
|
||||
<a href="https://github.com/RockChinQ/QChatGPT/issues/new?assignees=&labels=%E7%8B%AC%E7%AB%8B%E6%8F%92%E4%BB%B6&projects=&template=submit-plugin.yml&title=%5BPlugin%5D%3A+%E8%AF%B7%E6%B1%82%E7%99%BB%E8%AE%B0%E6%96%B0%E6%8F%92%E4%BB%B6">提交插件</a>
|
||||
<a href="https://langbot.app">项目主页</a> |
|
||||
<a href="https://docs.langbot.app/zh/insight/guide.html">部署文档</a> |
|
||||
<a href="https://docs.langbot.app/zh/plugin/plugin-intro.html">插件介绍</a> |
|
||||
<a href="https://github.com/langbot-app/LangBot/issues/new?assignees=&labels=%E7%8B%AC%E7%AB%8B%E6%8F%92%E4%BB%B6&projects=&template=submit-plugin.yml&title=%5BPlugin%5D%3A+%E8%AF%B7%E6%B1%82%E7%99%BB%E8%AE%B0%E6%96%B0%E6%8F%92%E4%BB%B6">提交插件</a>
|
||||
|
||||
## 相关链接
|
||||
|
||||
<a href="https://github.com/RockChinQ/qcg-installer">安装器源码</a> |
|
||||
<a href="https://github.com/RockChinQ/qcg-tester">测试工程源码</a> |
|
||||
<a href="https://github.com/the-lazy-me/QChatGPT-Wiki">官方文档储存库</a>
|
||||
|
||||
<img alt="回复效果(带有联网插件)" src="https://qchatgpt.rockchin.top/assets/image/QChatGPT-1211.png" width="500px"/>
|
||||
</div>
|
||||
|
||||
</p>
|
||||
|
||||
LangBot 是一个开源的大语言模型原生即时通信机器人开发平台,旨在提供开箱即用的 IM 机器人开发体验,具有 Agent、RAG、MCP 等多种 LLM 应用功能,适配全球主流即时通信平台,并提供丰富的 API 接口,支持自定义开发。
|
||||
|
||||
## 📦 开始使用
|
||||
|
||||
#### 快速部署
|
||||
|
||||
使用 `uvx` 一键启动(需要先安装 [uv](https://docs.astral.sh/uv/getting-started/installation/)):
|
||||
|
||||
```bash
|
||||
uvx langbot
|
||||
```
|
||||
|
||||
访问 http://localhost:5300 即可开始使用。
|
||||
|
||||
#### Docker Compose 部署
|
||||
|
||||
```bash
|
||||
git clone https://github.com/langbot-app/LangBot
|
||||
cd LangBot/docker
|
||||
docker compose up -d
|
||||
```
|
||||
|
||||
访问 http://localhost:5300 即可开始使用。
|
||||
|
||||
详细文档[Docker 部署](https://docs.langbot.app/zh/deploy/langbot/docker.html)。
|
||||
|
||||
#### 宝塔面板部署
|
||||
|
||||
已上架宝塔面板,若您已安装宝塔面板,可以根据[文档](https://docs.langbot.app/zh/deploy/langbot/one-click/bt.html)使用。
|
||||
|
||||
#### Zeabur 云部署
|
||||
|
||||
社区贡献的 Zeabur 模板。
|
||||
|
||||
[](https://zeabur.com/zh-CN/templates/ZKTBDH)
|
||||
|
||||
#### Railway 云部署
|
||||
|
||||
[](https://railway.app/template/yRrAyL?referralCode=vogKPF)
|
||||
|
||||
#### 手动部署
|
||||
|
||||
直接使用发行版运行,查看文档[手动部署](https://docs.langbot.app/zh/deploy/langbot/manual.html)。
|
||||
|
||||
#### Kubernetes 部署
|
||||
|
||||
参考 [Kubernetes 部署](./docker/README_K8S.md) 文档。
|
||||
|
||||
## 😎 保持更新
|
||||
|
||||
点击仓库右上角 Star 和 Watch 按钮,获取最新动态。
|
||||
|
||||

|
||||
|
||||
## ✨ 特性
|
||||
|
||||
- 💬 大模型对话、Agent:支持多种大模型,适配群聊和私聊;具有多轮对话、工具调用、多模态、流式输出能力,自带 RAG(知识库)实现,并深度适配 [Dify](https://dify.ai)。
|
||||
- 🤖 多平台支持:目前支持 QQ、QQ频道、企业微信、个人微信、飞书、Discord、Telegram 等平台。
|
||||
- 🛠️ 高稳定性、功能完备:原生支持访问控制、限速、敏感词过滤等机制;配置简单,支持多种部署方式。支持多流水线配置,不同机器人用于不同应用场景。
|
||||
- 🧩 插件扩展、活跃社区:支持事件驱动、组件扩展等插件机制;适配 Anthropic [MCP 协议](https://modelcontextprotocol.io/);目前已有数百个插件。
|
||||
- 😻 Web 管理面板:支持通过浏览器管理 LangBot 实例,不再需要手动编写配置文件。
|
||||
|
||||
详细规格特性请访问[文档](https://docs.langbot.app/zh/insight/features.html)。
|
||||
|
||||
或访问 demo 环境:https://demo.langbot.dev/
|
||||
- 登录信息:邮箱:`demo@langbot.app` 密码:`langbot123456`
|
||||
- 注意:仅展示 WebUI 效果,公开环境,请不要在其中填入您的任何敏感信息。
|
||||
|
||||
### 消息平台
|
||||
|
||||
| 平台 | 状态 | 备注 |
|
||||
| --- | --- | --- |
|
||||
| QQ 个人号 | ✅ | QQ 个人号私聊、群聊 |
|
||||
| QQ 官方机器人 | ✅ | QQ 官方机器人,支持频道、私聊、群聊 |
|
||||
| 企业微信 | ✅ | |
|
||||
| 企微对外客服 | ✅ | |
|
||||
| 企微智能机器人 | ✅ | |
|
||||
| 个人微信 | ✅ | |
|
||||
| 微信公众号 | ✅ | |
|
||||
| 飞书 | ✅ | |
|
||||
| 钉钉 | ✅ | |
|
||||
| Discord | ✅ | |
|
||||
| Telegram | ✅ | |
|
||||
| Slack | ✅ | |
|
||||
| LINE | ✅ | |
|
||||
|
||||
### 大模型能力
|
||||
|
||||
| 模型 | 状态 | 备注 |
|
||||
| --- | --- | --- |
|
||||
| [OpenAI](https://platform.openai.com/) | ✅ | 可接入任何 OpenAI 接口格式模型 |
|
||||
| [DeepSeek](https://www.deepseek.com/) | ✅ | |
|
||||
| [Moonshot](https://www.moonshot.cn/) | ✅ | |
|
||||
| [Anthropic](https://www.anthropic.com/) | ✅ | |
|
||||
| [xAI](https://x.ai/) | ✅ | |
|
||||
| [智谱AI](https://open.bigmodel.cn/) | ✅ | |
|
||||
| [胜算云](https://www.shengsuanyun.com/?from=CH_KYIPP758) | ✅ | 全球大模型都可调用(友情推荐) |
|
||||
| [优云智算](https://www.compshare.cn/?ytag=GPU_YY-gh_langbot) | ✅ | 大模型和 GPU 资源平台 |
|
||||
| [PPIO](https://ppinfra.com/user/register?invited_by=QJKFYD&utm_source=github_langbot) | ✅ | 大模型和 GPU 资源平台 |
|
||||
| [接口 AI](https://jiekou.ai/) | ✅ | 大模型聚合平台,专注全球大模型接入 |
|
||||
| [302.AI](https://share.302.ai/SuTG99) | ✅ | 大模型聚合平台 |
|
||||
| [Google Gemini](https://aistudio.google.com/prompts/new_chat) | ✅ | |
|
||||
| [Dify](https://dify.ai) | ✅ | LLMOps 平台 |
|
||||
| [Ollama](https://ollama.com/) | ✅ | 本地大模型运行平台 |
|
||||
| [LMStudio](https://lmstudio.ai/) | ✅ | 本地大模型运行平台 |
|
||||
| [GiteeAI](https://ai.gitee.com/) | ✅ | 大模型接口聚合平台 |
|
||||
| [SiliconFlow](https://siliconflow.cn/) | ✅ | 大模型聚合平台 |
|
||||
| [小马算力](https://www.tokenpony.cn/453z1) | ✅ | 大模型聚合平台 |
|
||||
| [阿里云百炼](https://bailian.console.aliyun.com/) | ✅ | 大模型聚合平台, LLMOps 平台 |
|
||||
| [火山方舟](https://console.volcengine.com/ark/region:ark+cn-beijing/model?vendor=Bytedance&view=LIST_VIEW) | ✅ | 大模型聚合平台, LLMOps 平台 |
|
||||
| [ModelScope](https://modelscope.cn/docs/model-service/API-Inference/intro) | ✅ | 大模型聚合平台 |
|
||||
| [MCP](https://modelcontextprotocol.io/) | ✅ | 支持通过 MCP 协议获取工具 |
|
||||
| [百宝箱Tbox](https://www.tbox.cn/open) | ✅ | 蚂蚁百宝箱智能体平台,每月免费10亿大模型Token |
|
||||
|
||||
### TTS
|
||||
|
||||
| 平台/模型 | 备注 |
|
||||
| --- | --- |
|
||||
| [FishAudio](https://fish.audio/zh-CN/discovery/) | [插件](https://github.com/the-lazy-me/NewChatVoice) |
|
||||
| [海豚 AI](https://www.ttson.cn/?source=thelazy) | [插件](https://github.com/the-lazy-me/NewChatVoice) |
|
||||
| [AzureTTS](https://portal.azure.com/) | [插件](https://github.com/Ingnaryk/LangBot_AzureTTS) |
|
||||
|
||||
### 文生图
|
||||
|
||||
| 平台/模型 | 备注 |
|
||||
| --- | --- |
|
||||
| 阿里云百炼 | [插件](https://github.com/Thetail001/LangBot_BailianTextToImagePlugin)
|
||||
|
||||
## 😘 社区贡献
|
||||
|
||||
感谢以下[代码贡献者](https://github.com/langbot-app/LangBot/graphs/contributors)和社区里其他成员对 LangBot 的贡献:
|
||||
|
||||
<a href="https://github.com/langbot-app/LangBot/graphs/contributors">
|
||||
<img src="https://contrib.rocks/image?repo=langbot-app/LangBot" />
|
||||
</a>
|
||||
|
||||
<!--
|
||||
## For Code Agents
|
||||
|
||||
If you're a code agent based on LLM, you should read [AGENTS.md](AGENTS.md) to understand the project structure and development process before you start any development.
|
||||
-->
|
||||
|
||||
141
README_EN.md
Normal file
141
README_EN.md
Normal file
@@ -0,0 +1,141 @@
|
||||
<p align="center">
|
||||
<a href="https://langbot.app">
|
||||
<img src="https://docs.langbot.app/social_en.png" alt="LangBot"/>
|
||||
</a>
|
||||
|
||||
<div align="center">
|
||||
|
||||
English / [简体中文](README.md) / [繁體中文](README_TW.md) / [日本語](README_JP.md) / (PR for your language)
|
||||
|
||||
[](https://discord.gg/wdNEHETs87)
|
||||
[](https://deepwiki.com/langbot-app/LangBot)
|
||||
[](https://github.com/langbot-app/LangBot/releases/latest)
|
||||
<img src="https://img.shields.io/badge/python-3.10 ~ 3.13 -blue.svg" alt="python">
|
||||
|
||||
<a href="https://langbot.app">Home</a> |
|
||||
<a href="https://docs.langbot.app/en/insight/guide.html">Deployment</a> |
|
||||
<a href="https://docs.langbot.app/en/plugin/plugin-intro.html">Plugin</a> |
|
||||
<a href="https://github.com/langbot-app/LangBot/issues/new?assignees=&labels=%E7%8B%AC%E7%AB%8B%E6%8F%92%E4%BB%B6&projects=&template=submit-plugin.yml&title=%5BPlugin%5D%3A+%E8%AF%B7%E6%B1%82%E7%99%BB%E8%AE%B0%E6%96%B0%E6%8F%92%E4%BB%B6">Submit Plugin</a>
|
||||
|
||||
</div>
|
||||
|
||||
</p>
|
||||
|
||||
LangBot is an open-source LLM native instant messaging robot development platform, aiming to provide out-of-the-box IM robot development experience, with Agent, RAG, MCP and other LLM application functions, adapting to global instant messaging platforms, and providing rich API interfaces, supporting custom development.
|
||||
|
||||
## 📦 Getting Started
|
||||
|
||||
#### Quick Start
|
||||
|
||||
Use `uvx` to start with one command (need to install [uv](https://docs.astral.sh/uv/getting-started/installation/)):
|
||||
|
||||
```bash
|
||||
uvx langbot
|
||||
```
|
||||
|
||||
Visit http://localhost:5300 to start using it.
|
||||
|
||||
#### Docker Compose Deployment
|
||||
|
||||
```bash
|
||||
git clone https://github.com/langbot-app/LangBot
|
||||
cd LangBot/docker
|
||||
docker compose up -d
|
||||
```
|
||||
|
||||
Visit http://localhost:5300 to start using it.
|
||||
|
||||
Detailed documentation [Docker Deployment](https://docs.langbot.app/en/deploy/langbot/docker.html).
|
||||
|
||||
#### One-click Deployment on BTPanel
|
||||
|
||||
LangBot has been listed on the BTPanel, if you have installed the BTPanel, you can use the [document](https://docs.langbot.app/en/deploy/langbot/one-click/bt.html) to use it.
|
||||
|
||||
#### Zeabur Cloud Deployment
|
||||
|
||||
Community contributed Zeabur template.
|
||||
|
||||
[](https://zeabur.com/en-US/templates/ZKTBDH)
|
||||
|
||||
#### Railway Cloud Deployment
|
||||
|
||||
[](https://railway.app/template/yRrAyL?referralCode=vogKPF)
|
||||
|
||||
#### Other Deployment Methods
|
||||
|
||||
Directly use the released version to run, see the [Manual Deployment](https://docs.langbot.app/en/deploy/langbot/manual.html) documentation.
|
||||
|
||||
#### Kubernetes Deployment
|
||||
|
||||
Refer to the [Kubernetes Deployment](./docker/README_K8S.md) documentation.
|
||||
|
||||
## 😎 Stay Ahead
|
||||
|
||||
Click the Star and Watch button in the upper right corner of the repository to get the latest updates.
|
||||
|
||||

|
||||
|
||||
## ✨ Features
|
||||
|
||||
- 💬 Chat with LLM / Agent: Supports multiple LLMs, adapt to group chats and private chats; Supports multi-round conversations, tool calls, multi-modal, and streaming output capabilities. Built-in RAG (knowledge base) implementation, and deeply integrates with [Dify](https://dify.ai).
|
||||
- 🤖 Multi-platform Support: Currently supports QQ, QQ Channel, WeCom, personal WeChat, Lark, DingTalk, Discord, Telegram, etc.
|
||||
- 🛠️ High Stability, Feature-rich: Native access control, rate limiting, sensitive word filtering, etc. mechanisms; Easy to use, supports multiple deployment methods. Supports multiple pipeline configurations, different bots can be used for different scenarios.
|
||||
- 🧩 Plugin Extension, Active Community: Support event-driven, component extension, etc. plugin mechanisms; Integrate Anthropic [MCP protocol](https://modelcontextprotocol.io/); Currently has hundreds of plugins.
|
||||
- 😻 Web UI: Support management LangBot instance through the browser. No need to manually write configuration files.
|
||||
|
||||
For more detailed specifications, please refer to the [documentation](https://docs.langbot.app/en/insight/features.html).
|
||||
|
||||
Or visit the demo environment: https://demo.langbot.dev/
|
||||
- Login information: Email: `demo@langbot.app` Password: `langbot123456`
|
||||
- Note: For WebUI demo only, please do not fill in any sensitive information in the public environment.
|
||||
|
||||
### Message Platform
|
||||
|
||||
| Platform | Status | Remarks |
|
||||
| --- | --- | --- |
|
||||
| Discord | ✅ | |
|
||||
| Telegram | ✅ | |
|
||||
| Slack | ✅ | |
|
||||
| LINE | ✅ | |
|
||||
| Personal QQ | ✅ | |
|
||||
| QQ Official API | ✅ | |
|
||||
| WeCom | ✅ | |
|
||||
| WeComCS | ✅ | |
|
||||
| WeCom AI Bot | ✅ | |
|
||||
| Personal WeChat | ✅ | |
|
||||
| Lark | ✅ | |
|
||||
| DingTalk | ✅ | |
|
||||
|
||||
### LLMs
|
||||
|
||||
| LLM | Status | Remarks |
|
||||
| --- | --- | --- |
|
||||
| [OpenAI](https://platform.openai.com/) | ✅ | Available for any OpenAI interface format model |
|
||||
| [DeepSeek](https://www.deepseek.com/) | ✅ | |
|
||||
| [Moonshot](https://www.moonshot.cn/) | ✅ | |
|
||||
| [Anthropic](https://www.anthropic.com/) | ✅ | |
|
||||
| [xAI](https://x.ai/) | ✅ | |
|
||||
| [Zhipu AI](https://open.bigmodel.cn/) | ✅ | |
|
||||
| [CompShare](https://www.compshare.cn/?ytag=GPU_YY-gh_langbot) | ✅ | LLM and GPU resource platform |
|
||||
| [Dify](https://dify.ai) | ✅ | LLMOps platform |
|
||||
| [PPIO](https://ppinfra.com/user/register?invited_by=QJKFYD&utm_source=github_langbot) | ✅ | LLM and GPU resource platform |
|
||||
| [接口 AI](https://jiekou.ai/) | ✅ | LLM aggregation platform, dedicated to global LLMs |
|
||||
| [ShengSuanYun](https://www.shengsuanyun.com/?from=CH_KYIPP758) | ✅ | LLM and GPU resource platform |
|
||||
| [302.AI](https://share.302.ai/SuTG99) | ✅ | LLM gateway(MaaS) |
|
||||
| [Google Gemini](https://aistudio.google.com/prompts/new_chat) | ✅ | |
|
||||
| [Ollama](https://ollama.com/) | ✅ | Local LLM running platform |
|
||||
| [LMStudio](https://lmstudio.ai/) | ✅ | Local LLM running platform |
|
||||
| [GiteeAI](https://ai.gitee.com/) | ✅ | LLM interface gateway(MaaS) |
|
||||
| [SiliconFlow](https://siliconflow.cn/) | ✅ | LLM gateway(MaaS) |
|
||||
| [Aliyun Bailian](https://bailian.console.aliyun.com/) | ✅ | LLM gateway(MaaS), LLMOps platform |
|
||||
| [Volc Engine Ark](https://console.volcengine.com/ark/region:ark+cn-beijing/model?vendor=Bytedance&view=LIST_VIEW) | ✅ | LLM gateway(MaaS), LLMOps platform |
|
||||
| [ModelScope](https://modelscope.cn/docs/model-service/API-Inference/intro) | ✅ | LLM gateway(MaaS) |
|
||||
| [MCP](https://modelcontextprotocol.io/) | ✅ | Support tool access through MCP protocol |
|
||||
|
||||
## 🤝 Community Contribution
|
||||
|
||||
Thank you for the following [code contributors](https://github.com/langbot-app/LangBot/graphs/contributors) and other members in the community for their contributions to LangBot:
|
||||
|
||||
<a href="https://github.com/langbot-app/LangBot/graphs/contributors">
|
||||
<img src="https://contrib.rocks/image?repo=langbot-app/LangBot" />
|
||||
</a>
|
||||
141
README_JP.md
Normal file
141
README_JP.md
Normal file
@@ -0,0 +1,141 @@
|
||||
<p align="center">
|
||||
<a href="https://langbot.app">
|
||||
<img src="https://docs.langbot.app/social_en.png" alt="LangBot"/>
|
||||
</a>
|
||||
|
||||
<div align="center">
|
||||
|
||||
[English](README_EN.md) / [简体中文](README.md) / [繁體中文](README_TW.md) / 日本語 / (PR for your language)
|
||||
|
||||
[](https://discord.gg/wdNEHETs87)
|
||||
[](https://deepwiki.com/langbot-app/LangBot)
|
||||
[](https://github.com/langbot-app/LangBot/releases/latest)
|
||||
<img src="https://img.shields.io/badge/python-3.10 ~ 3.13 -blue.svg" alt="python">
|
||||
|
||||
<a href="https://langbot.app">ホーム</a> |
|
||||
<a href="https://docs.langbot.app/en/insight/guide.html">デプロイ</a> |
|
||||
<a href="https://docs.langbot.app/en/plugin/plugin-intro.html">プラグイン</a> |
|
||||
<a href="https://github.com/langbot-app/LangBot/issues/new?assignees=&labels=%E7%8B%AC%E7%AB%8B%E6%8F%92%E4%BB%B6&projects=&template=submit-plugin.yml&title=%5BPlugin%5D%3A+%E8%AF%B7%E6%B1%82%E7%99%BB%E8%AE%B0%E6%96%B0%E6%8F%92%E4%BB%B6">プラグインの提出</a>
|
||||
|
||||
</div>
|
||||
|
||||
</p>
|
||||
|
||||
LangBot は、エージェント、RAG、MCP などの LLM アプリケーション機能を備えた、オープンソースの LLM ネイティブのインスタントメッセージングロボット開発プラットフォームです。世界中のインスタントメッセージングプラットフォームに適応し、豊富な API インターフェースを提供し、カスタム開発をサポートします。
|
||||
|
||||
## 📦 始め方
|
||||
|
||||
#### クイックスタート
|
||||
|
||||
`uvx` を使用した迅速なデプロイ([uv](https://docs.astral.sh/uv/getting-started/installation/) が必要です):
|
||||
|
||||
```bash
|
||||
uvx langbot
|
||||
```
|
||||
|
||||
http://localhost:5300 にアクセスして使用を開始します。
|
||||
|
||||
#### Docker Compose デプロイ
|
||||
|
||||
```bash
|
||||
git clone https://github.com/langbot-app/LangBot
|
||||
cd LangBot/docker
|
||||
docker compose up -d
|
||||
```
|
||||
|
||||
http://localhost:5300 にアクセスして使用を開始します。
|
||||
|
||||
詳細なドキュメントは[Dockerデプロイ](https://docs.langbot.app/en/deploy/langbot/docker.html)を参照してください。
|
||||
|
||||
#### Panelでのワンクリックデプロイ
|
||||
|
||||
LangBotはBTPanelにリストされています。BTPanelをインストールしている場合は、[ドキュメント](https://docs.langbot.app/en/deploy/langbot/one-click/bt.html)を使用して使用できます。
|
||||
|
||||
#### Zeaburクラウドデプロイ
|
||||
|
||||
コミュニティが提供するZeaburテンプレート。
|
||||
|
||||
[](https://zeabur.com/en-US/templates/ZKTBDH)
|
||||
|
||||
#### Railwayクラウドデプロイ
|
||||
|
||||
[](https://railway.app/template/yRrAyL?referralCode=vogKPF)
|
||||
|
||||
#### その他のデプロイ方法
|
||||
|
||||
リリースバージョンを直接使用して実行します。[手動デプロイ](https://docs.langbot.app/en/deploy/langbot/manual.html)のドキュメントを参照してください。
|
||||
|
||||
#### Kubernetes デプロイ
|
||||
|
||||
[Kubernetes デプロイ](./docker/README_K8S.md) ドキュメントを参照してください。
|
||||
|
||||
## 😎 最新情報を入手
|
||||
|
||||
リポジトリの右上にある Star と Watch ボタンをクリックして、最新の更新を取得してください。
|
||||
|
||||

|
||||
|
||||
## ✨ 機能
|
||||
|
||||
- 💬 LLM / エージェントとのチャット: 複数のLLMをサポートし、グループチャットとプライベートチャットに対応。マルチラウンドの会話、ツールの呼び出し、マルチモーダル、ストリーミング出力機能をサポート、RAG(知識ベース)を組み込み、[Dify](https://dify.ai) と深く統合。
|
||||
- 🤖 多プラットフォーム対応: 現在、QQ、QQ チャンネル、WeChat、個人 WeChat、Lark、DingTalk、Discord、Telegram など、複数のプラットフォームをサポートしています。
|
||||
- 🛠️ 高い安定性、豊富な機能: ネイティブのアクセス制御、レート制限、敏感な単語のフィルタリングなどのメカニズムをサポート。使いやすく、複数のデプロイ方法をサポート。複数のパイプライン設定をサポートし、異なるボットを異なる用途に使用できます。
|
||||
- 🧩 プラグイン拡張、活発なコミュニティ: イベント駆動、コンポーネント拡張などのプラグインメカニズムをサポート。適配 Anthropic [MCP プロトコル](https://modelcontextprotocol.io/);豊富なエコシステム、現在数百のプラグインが存在。
|
||||
- 😻 Web UI: ブラウザを通じてLangBotインスタンスを管理することをサポート。
|
||||
|
||||
詳細な仕様については、[ドキュメント](https://docs.langbot.app/en/insight/features.html)を参照してください。
|
||||
|
||||
または、デモ環境にアクセスしてください: https://demo.langbot.dev/
|
||||
- ログイン情報: メール: `demo@langbot.app` パスワード: `langbot123456`
|
||||
- 注意: WebUI のデモンストレーションのみの場合、公開環境では機密情報を入力しないでください。
|
||||
|
||||
### メッセージプラットフォーム
|
||||
|
||||
| プラットフォーム | ステータス | 備考 |
|
||||
| --- | --- | --- |
|
||||
| Discord | ✅ | |
|
||||
| Telegram | ✅ | |
|
||||
| Slack | ✅ | |
|
||||
| LINE | ✅ | |
|
||||
| 個人QQ | ✅ | |
|
||||
| QQ公式API | ✅ | |
|
||||
| WeCom | ✅ | |
|
||||
| WeComCS | ✅ | |
|
||||
| WeCom AI Bot | ✅ | |
|
||||
| 個人WeChat | ✅ | |
|
||||
| Lark | ✅ | |
|
||||
| DingTalk | ✅ | |
|
||||
|
||||
### LLMs
|
||||
|
||||
| LLM | ステータス | 備考 |
|
||||
| --- | --- | --- |
|
||||
| [OpenAI](https://platform.openai.com/) | ✅ | 任意のOpenAIインターフェース形式モデルに対応 |
|
||||
| [DeepSeek](https://www.deepseek.com/) | ✅ | |
|
||||
| [Moonshot](https://www.moonshot.cn/) | ✅ | |
|
||||
| [Anthropic](https://www.anthropic.com/) | ✅ | |
|
||||
| [xAI](https://x.ai/) | ✅ | |
|
||||
| [Zhipu AI](https://open.bigmodel.cn/) | ✅ | |
|
||||
| [CompShare](https://www.compshare.cn/?ytag=GPU_YY-gh_langbot) | ✅ | 大模型とGPUリソースプラットフォーム |
|
||||
| [PPIO](https://ppinfra.com/user/register?invited_by=QJKFYD&utm_source=github_langbot) | ✅ | 大模型とGPUリソースプラットフォーム |
|
||||
| [接口 AI](https://jiekou.ai/) | ✅ | LLMゲートウェイ(MaaS) |
|
||||
| [ShengSuanYun](https://www.shengsuanyun.com/?from=CH_KYIPP758) | ✅ | LLMとGPUリソースプラットフォーム |
|
||||
| [302.AI](https://share.302.ai/SuTG99) | ✅ | LLMゲートウェイ(MaaS) |
|
||||
| [Google Gemini](https://aistudio.google.com/prompts/new_chat) | ✅ | |
|
||||
| [Dify](https://dify.ai) | ✅ | LLMOpsプラットフォーム |
|
||||
| [Ollama](https://ollama.com/) | ✅ | ローカルLLM実行プラットフォーム |
|
||||
| [LMStudio](https://lmstudio.ai/) | ✅ | ローカルLLM実行プラットフォーム |
|
||||
| [GiteeAI](https://ai.gitee.com/) | ✅ | LLMインターフェースゲートウェイ(MaaS) |
|
||||
| [SiliconFlow](https://siliconflow.cn/) | ✅ | LLMゲートウェイ(MaaS) |
|
||||
| [Aliyun Bailian](https://bailian.console.aliyun.com/) | ✅ | LLMゲートウェイ(MaaS), LLMOpsプラットフォーム |
|
||||
| [Volc Engine Ark](https://console.volcengine.com/ark/region:ark+cn-beijing/model?vendor=Bytedance&view=LIST_VIEW) | ✅ | LLMゲートウェイ(MaaS), LLMOpsプラットフォーム |
|
||||
| [ModelScope](https://modelscope.cn/docs/model-service/API-Inference/intro) | ✅ | LLMゲートウェイ(MaaS) |
|
||||
| [MCP](https://modelcontextprotocol.io/) | ✅ | MCPプロトコルをサポート |
|
||||
|
||||
## 🤝 コミュニティ貢献
|
||||
|
||||
LangBot への貢献に対して、以下の [コード貢献者](https://github.com/langbot-app/LangBot/graphs/contributors) とコミュニティの他のメンバーに感謝します。
|
||||
|
||||
<a href="https://github.com/langbot-app/LangBot/graphs/contributors">
|
||||
<img src="https://contrib.rocks/image?repo=langbot-app/LangBot" />
|
||||
</a>
|
||||
157
README_TW.md
Normal file
157
README_TW.md
Normal file
@@ -0,0 +1,157 @@
|
||||
<p align="center">
|
||||
<a href="https://langbot.app">
|
||||
<img src="https://docs.langbot.app/social_zh.png" alt="LangBot"/>
|
||||
</a>
|
||||
|
||||
<div align="center"><a href="https://hellogithub.com/repository/langbot-app/LangBot" target="_blank"><img src="https://abroad.hellogithub.com/v1/widgets/recommend.svg?rid=5ce8ae2aa4f74316bf393b57b952433c&claim_uid=gtmc6YWjMZkT21R" alt="Featured|HelloGitHub" style="width: 250px; height: 54px;" width="250" height="54" /></a>
|
||||
|
||||
[English](README_EN.md) / [简体中文](README.md) / 繁體中文 / [日本語](README_JP.md) / (PR for your language)
|
||||
|
||||
[](https://discord.gg/wdNEHETs87)
|
||||
[](https://qm.qq.com/q/JLi38whHum)
|
||||
[](https://deepwiki.com/langbot-app/LangBot)
|
||||
[](https://github.com/langbot-app/LangBot/releases/latest)
|
||||
<img src="https://img.shields.io/badge/python-3.10 ~ 3.13 -blue.svg" alt="python">
|
||||
[](https://gitcode.com/RockChinQ/LangBot)
|
||||
|
||||
<a href="https://langbot.app">主頁</a> |
|
||||
<a href="https://docs.langbot.app/zh/insight/guide.html">部署文件</a> |
|
||||
<a href="https://docs.langbot.app/zh/plugin/plugin-intro.html">外掛介紹</a> |
|
||||
<a href="https://github.com/langbot-app/LangBot/issues/new?assignees=&labels=%E7%8B%AC%E7%AB%8B%E6%8F%92%E4%BB%B6&projects=&template=submit-plugin.yml&title=%5BPlugin%5D%3A+%E8%AF%B7%E6%B1%82%E7%99%BB%E8%AE%B0%E6%96%B0%E6%8F%92%E4%BB%B6">提交外掛</a>
|
||||
|
||||
</div>
|
||||
|
||||
</p>
|
||||
|
||||
LangBot 是一個開源的大語言模型原生即時通訊機器人開發平台,旨在提供開箱即用的 IM 機器人開發體驗,具有 Agent、RAG、MCP 等多種 LLM 應用功能,適配全球主流即時通訊平台,並提供豐富的 API 介面,支援自定義開發。
|
||||
|
||||
## 📦 開始使用
|
||||
|
||||
#### 快速部署
|
||||
|
||||
使用 `uvx` 一鍵啟動(需要先安裝 [uv](https://docs.astral.sh/uv/getting-started/installation/) ):
|
||||
|
||||
```bash
|
||||
uvx langbot
|
||||
```
|
||||
|
||||
訪問 http://localhost:5300 即可開始使用。
|
||||
|
||||
#### Docker Compose 部署
|
||||
|
||||
```bash
|
||||
git clone https://github.com/langbot-app/LangBot
|
||||
cd LangBot/docker
|
||||
docker compose up -d
|
||||
```
|
||||
|
||||
訪問 http://localhost:5300 即可開始使用。
|
||||
|
||||
詳細文件[Docker 部署](https://docs.langbot.app/zh/deploy/langbot/docker.html)。
|
||||
|
||||
#### 寶塔面板部署
|
||||
|
||||
已上架寶塔面板,若您已安裝寶塔面板,可以根據[文件](https://docs.langbot.app/zh/deploy/langbot/one-click/bt.html)使用。
|
||||
|
||||
#### Zeabur 雲端部署
|
||||
|
||||
社群貢獻的 Zeabur 模板。
|
||||
|
||||
[](https://zeabur.com/zh-CN/templates/ZKTBDH)
|
||||
|
||||
#### Railway 雲端部署
|
||||
|
||||
[](https://railway.app/template/yRrAyL?referralCode=vogKPF)
|
||||
|
||||
#### 手動部署
|
||||
|
||||
直接使用發行版運行,查看文件[手動部署](https://docs.langbot.app/zh/deploy/langbot/manual.html)。
|
||||
|
||||
#### Kubernetes 部署
|
||||
|
||||
參考 [Kubernetes 部署](./docker/README_K8S.md) 文件。
|
||||
|
||||
## 😎 保持更新
|
||||
|
||||
點擊倉庫右上角 Star 和 Watch 按鈕,獲取最新動態。
|
||||
|
||||

|
||||
|
||||
## ✨ 特性
|
||||
|
||||
- 💬 大模型對話、Agent:支援多種大模型,適配群聊和私聊;具有多輪對話、工具調用、多模態、流式輸出能力,自帶 RAG(知識庫)實現,並深度適配 [Dify](https://dify.ai)。
|
||||
- 🤖 多平台支援:目前支援 QQ、QQ頻道、企業微信、個人微信、飛書、Discord、Telegram 等平台。
|
||||
- 🛠️ 高穩定性、功能完備:原生支援訪問控制、限速、敏感詞過濾等機制;配置簡單,支援多種部署方式。支援多流水線配置,不同機器人用於不同應用場景。
|
||||
- 🧩 外掛擴展、活躍社群:支援事件驅動、組件擴展等外掛機制;適配 Anthropic [MCP 協議](https://modelcontextprotocol.io/);目前已有數百個外掛。
|
||||
- 😻 Web 管理面板:支援通過瀏覽器管理 LangBot 實例,不再需要手動編寫配置文件。
|
||||
|
||||
詳細規格特性請訪問[文件](https://docs.langbot.app/zh/insight/features.html)。
|
||||
|
||||
或訪問 demo 環境:https://demo.langbot.dev/
|
||||
- 登入資訊:郵箱:`demo@langbot.app` 密碼:`langbot123456`
|
||||
- 注意:僅展示 WebUI 效果,公開環境,請不要在其中填入您的任何敏感資訊。
|
||||
|
||||
### 訊息平台
|
||||
|
||||
| 平台 | 狀態 | 備註 |
|
||||
| --- | --- | --- |
|
||||
| Discord | ✅ | |
|
||||
| Telegram | ✅ | |
|
||||
| Slack | ✅ | |
|
||||
| LINE | ✅ | |
|
||||
| QQ 個人號 | ✅ | QQ 個人號私聊、群聊 |
|
||||
| QQ 官方機器人 | ✅ | QQ 官方機器人,支援頻道、私聊、群聊 |
|
||||
| 微信 | ✅ | |
|
||||
| 企微對外客服 | ✅ | |
|
||||
| 企微智能機器人 | ✅ | |
|
||||
| 微信公眾號 | ✅ | |
|
||||
| Lark | ✅ | |
|
||||
| DingTalk | ✅ | |
|
||||
|
||||
### 大模型能力
|
||||
|
||||
| 模型 | 狀態 | 備註 |
|
||||
| --- | --- | --- |
|
||||
| [OpenAI](https://platform.openai.com/) | ✅ | 可接入任何 OpenAI 介面格式模型 |
|
||||
| [DeepSeek](https://www.deepseek.com/) | ✅ | |
|
||||
| [Moonshot](https://www.moonshot.cn/) | ✅ | |
|
||||
| [Anthropic](https://www.anthropic.com/) | ✅ | |
|
||||
| [xAI](https://x.ai/) | ✅ | |
|
||||
| [智譜AI](https://open.bigmodel.cn/) | ✅ | |
|
||||
| [勝算雲](https://www.shengsuanyun.com/?from=CH_KYIPP758) | ✅ | 大模型和 GPU 資源平台 |
|
||||
| [優雲智算](https://www.compshare.cn/?ytag=GPU_YY-gh_langbot) | ✅ | 大模型和 GPU 資源平台 |
|
||||
| [PPIO](https://ppinfra.com/user/register?invited_by=QJKFYD&utm_source=github_langbot) | ✅ | 大模型和 GPU 資源平台 |
|
||||
| [接口 AI](https://jiekou.ai/) | ✅ | 大模型聚合平台,專注全球大模型接入 |
|
||||
| [302.AI](https://share.302.ai/SuTG99) | ✅ | 大模型聚合平台 |
|
||||
| [Google Gemini](https://aistudio.google.com/prompts/new_chat) | ✅ | |
|
||||
| [Dify](https://dify.ai) | ✅ | LLMOps 平台 |
|
||||
| [Ollama](https://ollama.com/) | ✅ | 本地大模型運行平台 |
|
||||
| [LMStudio](https://lmstudio.ai/) | ✅ | 本地大模型運行平台 |
|
||||
| [GiteeAI](https://ai.gitee.com/) | ✅ | 大模型介面聚合平台 |
|
||||
| [SiliconFlow](https://siliconflow.cn/) | ✅ | 大模型聚合平台 |
|
||||
| [阿里雲百煉](https://bailian.console.aliyun.com/) | ✅ | 大模型聚合平台, LLMOps 平台 |
|
||||
| [火山方舟](https://console.volcengine.com/ark/region:ark+cn-beijing/model?vendor=Bytedance&view=LIST_VIEW) | ✅ | 大模型聚合平台, LLMOps 平台 |
|
||||
| [ModelScope](https://modelscope.cn/docs/model-service/API-Inference/intro) | ✅ | 大模型聚合平台 |
|
||||
| [MCP](https://modelcontextprotocol.io/) | ✅ | 支援通過 MCP 協議獲取工具 |
|
||||
|
||||
### TTS
|
||||
|
||||
| 平台/模型 | 備註 |
|
||||
| --- | --- |
|
||||
| [FishAudio](https://fish.audio/zh-CN/discovery/) | [外掛](https://github.com/the-lazy-me/NewChatVoice) |
|
||||
| [海豚 AI](https://www.ttson.cn/?source=thelazy) | [外掛](https://github.com/the-lazy-me/NewChatVoice) |
|
||||
| [AzureTTS](https://portal.azure.com/) | [外掛](https://github.com/Ingnaryk/LangBot_AzureTTS) |
|
||||
|
||||
### 文生圖
|
||||
|
||||
| 平台/模型 | 備註 |
|
||||
| --- | --- |
|
||||
| 阿里雲百煉 | [外掛](https://github.com/Thetail001/LangBot_BailianTextToImagePlugin)
|
||||
|
||||
## 😘 社群貢獻
|
||||
|
||||
感謝以下[程式碼貢獻者](https://github.com/langbot-app/LangBot/graphs/contributors)和社群裡其他成員對 LangBot 的貢獻:
|
||||
|
||||
<a href="https://github.com/langbot-app/LangBot/graphs/contributors">
|
||||
<img src="https://contrib.rocks/image?repo=langbot-app/LangBot" />
|
||||
</a>
|
||||
4
codecov.yml
Normal file
4
codecov.yml
Normal file
@@ -0,0 +1,4 @@
|
||||
coverage:
|
||||
status:
|
||||
project: off
|
||||
patch: off
|
||||
@@ -1,10 +0,0 @@
|
||||
version: "3"
|
||||
|
||||
services:
|
||||
qchatgpt:
|
||||
image: rockchin/qchatgpt:latest
|
||||
volumes:
|
||||
- ./data:/app/data
|
||||
- ./plugins:/app/plugins
|
||||
restart: on-failure
|
||||
# 根据具体环境配置网络
|
||||
629
docker/README_K8S.md
Normal file
629
docker/README_K8S.md
Normal file
@@ -0,0 +1,629 @@
|
||||
# LangBot Kubernetes 部署指南 / Kubernetes Deployment Guide
|
||||
|
||||
[简体中文](#简体中文) | [English](#english)
|
||||
|
||||
---
|
||||
|
||||
## 简体中文
|
||||
|
||||
### 概述
|
||||
|
||||
本指南提供了在 Kubernetes 集群中部署 LangBot 的完整步骤。Kubernetes 部署配置基于 `docker-compose.yaml`,适用于生产环境的容器化部署。
|
||||
|
||||
### 前置要求
|
||||
|
||||
- Kubernetes 集群(版本 1.19+)
|
||||
- `kubectl` 命令行工具已配置并可访问集群
|
||||
- 集群中有可用的存储类(StorageClass)用于持久化存储(可选但推荐)
|
||||
- 至少 2 vCPU 和 4GB RAM 的可用资源
|
||||
|
||||
### 架构说明
|
||||
|
||||
Kubernetes 部署包含以下组件:
|
||||
|
||||
1. **langbot**: 主应用服务
|
||||
- 提供 Web UI(端口 5300)
|
||||
- 处理平台 webhook(端口 2280-2290)
|
||||
- 数据持久化卷
|
||||
|
||||
2. **langbot-plugin-runtime**: 插件运行时服务
|
||||
- WebSocket 通信(端口 5400)
|
||||
- 插件数据持久化卷
|
||||
|
||||
3. **持久化存储**:
|
||||
- `langbot-data`: LangBot 主数据
|
||||
- `langbot-plugins`: 插件文件
|
||||
- `langbot-plugin-runtime-data`: 插件运行时数据
|
||||
|
||||
### 快速开始
|
||||
|
||||
#### 1. 下载部署文件
|
||||
|
||||
```bash
|
||||
# 克隆仓库
|
||||
git clone https://github.com/langbot-app/LangBot
|
||||
cd LangBot/docker
|
||||
|
||||
# 或直接下载 kubernetes.yaml
|
||||
wget https://raw.githubusercontent.com/langbot-app/LangBot/main/docker/kubernetes.yaml
|
||||
```
|
||||
|
||||
#### 2. 部署到 Kubernetes
|
||||
|
||||
```bash
|
||||
# 应用所有配置
|
||||
kubectl apply -f kubernetes.yaml
|
||||
|
||||
# 检查部署状态
|
||||
kubectl get all -n langbot
|
||||
|
||||
# 查看 Pod 日志
|
||||
kubectl logs -n langbot -l app=langbot -f
|
||||
```
|
||||
|
||||
#### 3. 访问 LangBot
|
||||
|
||||
默认情况下,LangBot 服务使用 ClusterIP 类型,只能在集群内部访问。您可以选择以下方式之一来访问:
|
||||
|
||||
**选项 A: 端口转发(推荐用于测试)**
|
||||
|
||||
```bash
|
||||
kubectl port-forward -n langbot svc/langbot 5300:5300
|
||||
```
|
||||
|
||||
然后访问 http://localhost:5300
|
||||
|
||||
**选项 B: NodePort(适用于开发环境)**
|
||||
|
||||
编辑 `kubernetes.yaml`,取消注释 NodePort Service 部分,然后:
|
||||
|
||||
```bash
|
||||
kubectl apply -f kubernetes.yaml
|
||||
# 获取节点 IP
|
||||
kubectl get nodes -o wide
|
||||
# 访问 http://<NODE_IP>:30300
|
||||
```
|
||||
|
||||
**选项 C: LoadBalancer(适用于云环境)**
|
||||
|
||||
编辑 `kubernetes.yaml`,取消注释 LoadBalancer Service 部分,然后:
|
||||
|
||||
```bash
|
||||
kubectl apply -f kubernetes.yaml
|
||||
# 获取外部 IP
|
||||
kubectl get svc -n langbot langbot-loadbalancer
|
||||
# 访问 http://<EXTERNAL_IP>
|
||||
```
|
||||
|
||||
**选项 D: Ingress(推荐用于生产环境)**
|
||||
|
||||
确保集群中已安装 Ingress Controller(如 nginx-ingress),然后:
|
||||
|
||||
1. 编辑 `kubernetes.yaml` 中的 Ingress 配置
|
||||
2. 修改域名为您的实际域名
|
||||
3. 应用配置:
|
||||
|
||||
```bash
|
||||
kubectl apply -f kubernetes.yaml
|
||||
# 访问 http://langbot.yourdomain.com
|
||||
```
|
||||
|
||||
### 配置说明
|
||||
|
||||
#### 环境变量
|
||||
|
||||
在 `ConfigMap` 中配置环境变量:
|
||||
|
||||
```yaml
|
||||
apiVersion: v1
|
||||
kind: ConfigMap
|
||||
metadata:
|
||||
name: langbot-config
|
||||
namespace: langbot
|
||||
data:
|
||||
TZ: "Asia/Shanghai" # 修改为您的时区
|
||||
```
|
||||
|
||||
#### 存储配置
|
||||
|
||||
默认使用动态存储分配。如果您有特定的 StorageClass,请在 PVC 中指定:
|
||||
|
||||
```yaml
|
||||
spec:
|
||||
storageClassName: your-storage-class-name
|
||||
accessModes:
|
||||
- ReadWriteOnce
|
||||
resources:
|
||||
requests:
|
||||
storage: 10Gi
|
||||
```
|
||||
|
||||
#### 资源限制
|
||||
|
||||
根据您的需求调整资源限制:
|
||||
|
||||
```yaml
|
||||
resources:
|
||||
requests:
|
||||
memory: "1Gi"
|
||||
cpu: "500m"
|
||||
limits:
|
||||
memory: "4Gi"
|
||||
cpu: "2000m"
|
||||
```
|
||||
|
||||
### 常用操作
|
||||
|
||||
#### 查看日志
|
||||
|
||||
```bash
|
||||
# 查看 LangBot 主服务日志
|
||||
kubectl logs -n langbot -l app=langbot -f
|
||||
|
||||
# 查看插件运行时日志
|
||||
kubectl logs -n langbot -l app=langbot-plugin-runtime -f
|
||||
```
|
||||
|
||||
#### 重启服务
|
||||
|
||||
```bash
|
||||
# 重启 LangBot
|
||||
kubectl rollout restart deployment/langbot -n langbot
|
||||
|
||||
# 重启插件运行时
|
||||
kubectl rollout restart deployment/langbot-plugin-runtime -n langbot
|
||||
```
|
||||
|
||||
#### 更新镜像
|
||||
|
||||
```bash
|
||||
# 更新到最新版本
|
||||
kubectl set image deployment/langbot -n langbot langbot=rockchin/langbot:latest
|
||||
kubectl set image deployment/langbot-plugin-runtime -n langbot langbot-plugin-runtime=rockchin/langbot:latest
|
||||
|
||||
# 检查更新状态
|
||||
kubectl rollout status deployment/langbot -n langbot
|
||||
```
|
||||
|
||||
#### 扩容(不推荐)
|
||||
|
||||
注意:由于 LangBot 使用 ReadWriteOnce 的持久化存储,不支持多副本扩容。如需高可用,请考虑使用 ReadWriteMany 存储或其他架构方案。
|
||||
|
||||
#### 备份数据
|
||||
|
||||
```bash
|
||||
# 备份 PVC 数据
|
||||
kubectl exec -n langbot -it <langbot-pod-name> -- tar czf /tmp/backup.tar.gz /app/data
|
||||
kubectl cp langbot/<langbot-pod-name>:/tmp/backup.tar.gz ./backup.tar.gz
|
||||
```
|
||||
|
||||
### 卸载
|
||||
|
||||
```bash
|
||||
# 删除所有资源(保留 PVC)
|
||||
kubectl delete deployment,service,configmap -n langbot --all
|
||||
|
||||
# 删除 PVC(会删除数据)
|
||||
kubectl delete pvc -n langbot --all
|
||||
|
||||
# 删除命名空间
|
||||
kubectl delete namespace langbot
|
||||
```
|
||||
|
||||
### 故障排查
|
||||
|
||||
#### Pod 无法启动
|
||||
|
||||
```bash
|
||||
# 查看 Pod 状态
|
||||
kubectl get pods -n langbot
|
||||
|
||||
# 查看详细信息
|
||||
kubectl describe pod -n langbot <pod-name>
|
||||
|
||||
# 查看事件
|
||||
kubectl get events -n langbot --sort-by='.lastTimestamp'
|
||||
```
|
||||
|
||||
#### 存储问题
|
||||
|
||||
```bash
|
||||
# 检查 PVC 状态
|
||||
kubectl get pvc -n langbot
|
||||
|
||||
# 检查 PV
|
||||
kubectl get pv
|
||||
```
|
||||
|
||||
#### 网络访问问题
|
||||
|
||||
```bash
|
||||
# 检查 Service
|
||||
kubectl get svc -n langbot
|
||||
|
||||
# 检查端口转发
|
||||
kubectl port-forward -n langbot svc/langbot 5300:5300
|
||||
```
|
||||
|
||||
### 生产环境建议
|
||||
|
||||
1. **使用特定版本标签**:避免使用 `latest` 标签,使用具体版本号如 `rockchin/langbot:v1.0.0`
|
||||
2. **配置资源限制**:根据实际负载调整 CPU 和内存限制
|
||||
3. **使用 Ingress + TLS**:配置 HTTPS 访问和证书管理
|
||||
4. **配置监控和告警**:集成 Prometheus、Grafana 等监控工具
|
||||
5. **定期备份**:配置自动备份策略保护数据
|
||||
6. **使用专用 StorageClass**:为生产环境配置高性能存储
|
||||
7. **配置亲和性规则**:确保 Pod 调度到合适的节点
|
||||
|
||||
### 高级配置
|
||||
|
||||
#### 使用 Secrets 管理敏感信息
|
||||
|
||||
如果需要配置 API 密钥等敏感信息:
|
||||
|
||||
```yaml
|
||||
apiVersion: v1
|
||||
kind: Secret
|
||||
metadata:
|
||||
name: langbot-secrets
|
||||
namespace: langbot
|
||||
type: Opaque
|
||||
data:
|
||||
api_key: <base64-encoded-value>
|
||||
```
|
||||
|
||||
然后在 Deployment 中引用:
|
||||
|
||||
```yaml
|
||||
env:
|
||||
- name: API_KEY
|
||||
valueFrom:
|
||||
secretKeyRef:
|
||||
name: langbot-secrets
|
||||
key: api_key
|
||||
```
|
||||
|
||||
#### 配置水平自动扩缩容(HPA)
|
||||
|
||||
注意:需要确保使用 ReadWriteMany 存储类型
|
||||
|
||||
```yaml
|
||||
apiVersion: autoscaling/v2
|
||||
kind: HorizontalPodAutoscaler
|
||||
metadata:
|
||||
name: langbot-hpa
|
||||
namespace: langbot
|
||||
spec:
|
||||
scaleTargetRef:
|
||||
apiVersion: apps/v1
|
||||
kind: Deployment
|
||||
name: langbot
|
||||
minReplicas: 1
|
||||
maxReplicas: 3
|
||||
metrics:
|
||||
- type: Resource
|
||||
resource:
|
||||
name: cpu
|
||||
target:
|
||||
type: Utilization
|
||||
averageUtilization: 70
|
||||
```
|
||||
|
||||
### 参考资源
|
||||
|
||||
- [LangBot 官方文档](https://docs.langbot.app)
|
||||
- [Docker 部署文档](https://docs.langbot.app/zh/deploy/langbot/docker.html)
|
||||
- [Kubernetes 官方文档](https://kubernetes.io/docs/)
|
||||
|
||||
---
|
||||
|
||||
## English
|
||||
|
||||
### Overview
|
||||
|
||||
This guide provides complete steps for deploying LangBot in a Kubernetes cluster. The Kubernetes deployment configuration is based on `docker-compose.yaml` and is suitable for production containerized deployments.
|
||||
|
||||
### Prerequisites
|
||||
|
||||
- Kubernetes cluster (version 1.19+)
|
||||
- `kubectl` command-line tool configured with cluster access
|
||||
- Available StorageClass in the cluster for persistent storage (optional but recommended)
|
||||
- At least 2 vCPU and 4GB RAM of available resources
|
||||
|
||||
### Architecture
|
||||
|
||||
The Kubernetes deployment includes the following components:
|
||||
|
||||
1. **langbot**: Main application service
|
||||
- Provides Web UI (port 5300)
|
||||
- Handles platform webhooks (ports 2280-2290)
|
||||
- Data persistence volume
|
||||
|
||||
2. **langbot-plugin-runtime**: Plugin runtime service
|
||||
- WebSocket communication (port 5400)
|
||||
- Plugin data persistence volume
|
||||
|
||||
3. **Persistent Storage**:
|
||||
- `langbot-data`: LangBot main data
|
||||
- `langbot-plugins`: Plugin files
|
||||
- `langbot-plugin-runtime-data`: Plugin runtime data
|
||||
|
||||
### Quick Start
|
||||
|
||||
#### 1. Download Deployment Files
|
||||
|
||||
```bash
|
||||
# Clone repository
|
||||
git clone https://github.com/langbot-app/LangBot
|
||||
cd LangBot/docker
|
||||
|
||||
# Or download kubernetes.yaml directly
|
||||
wget https://raw.githubusercontent.com/langbot-app/LangBot/main/docker/kubernetes.yaml
|
||||
```
|
||||
|
||||
#### 2. Deploy to Kubernetes
|
||||
|
||||
```bash
|
||||
# Apply all configurations
|
||||
kubectl apply -f kubernetes.yaml
|
||||
|
||||
# Check deployment status
|
||||
kubectl get all -n langbot
|
||||
|
||||
# View Pod logs
|
||||
kubectl logs -n langbot -l app=langbot -f
|
||||
```
|
||||
|
||||
#### 3. Access LangBot
|
||||
|
||||
By default, LangBot service uses ClusterIP type, accessible only within the cluster. Choose one of the following methods to access:
|
||||
|
||||
**Option A: Port Forwarding (Recommended for testing)**
|
||||
|
||||
```bash
|
||||
kubectl port-forward -n langbot svc/langbot 5300:5300
|
||||
```
|
||||
|
||||
Then visit http://localhost:5300
|
||||
|
||||
**Option B: NodePort (Suitable for development)**
|
||||
|
||||
Edit `kubernetes.yaml`, uncomment the NodePort Service section, then:
|
||||
|
||||
```bash
|
||||
kubectl apply -f kubernetes.yaml
|
||||
# Get node IP
|
||||
kubectl get nodes -o wide
|
||||
# Visit http://<NODE_IP>:30300
|
||||
```
|
||||
|
||||
**Option C: LoadBalancer (Suitable for cloud environments)**
|
||||
|
||||
Edit `kubernetes.yaml`, uncomment the LoadBalancer Service section, then:
|
||||
|
||||
```bash
|
||||
kubectl apply -f kubernetes.yaml
|
||||
# Get external IP
|
||||
kubectl get svc -n langbot langbot-loadbalancer
|
||||
# Visit http://<EXTERNAL_IP>
|
||||
```
|
||||
|
||||
**Option D: Ingress (Recommended for production)**
|
||||
|
||||
Ensure an Ingress Controller (e.g., nginx-ingress) is installed in the cluster, then:
|
||||
|
||||
1. Edit the Ingress configuration in `kubernetes.yaml`
|
||||
2. Change the domain to your actual domain
|
||||
3. Apply configuration:
|
||||
|
||||
```bash
|
||||
kubectl apply -f kubernetes.yaml
|
||||
# Visit http://langbot.yourdomain.com
|
||||
```
|
||||
|
||||
### Configuration
|
||||
|
||||
#### Environment Variables
|
||||
|
||||
Configure environment variables in ConfigMap:
|
||||
|
||||
```yaml
|
||||
apiVersion: v1
|
||||
kind: ConfigMap
|
||||
metadata:
|
||||
name: langbot-config
|
||||
namespace: langbot
|
||||
data:
|
||||
TZ: "Asia/Shanghai" # Change to your timezone
|
||||
```
|
||||
|
||||
#### Storage Configuration
|
||||
|
||||
Uses dynamic storage provisioning by default. If you have a specific StorageClass, specify it in PVC:
|
||||
|
||||
```yaml
|
||||
spec:
|
||||
storageClassName: your-storage-class-name
|
||||
accessModes:
|
||||
- ReadWriteOnce
|
||||
resources:
|
||||
requests:
|
||||
storage: 10Gi
|
||||
```
|
||||
|
||||
#### Resource Limits
|
||||
|
||||
Adjust resource limits based on your needs:
|
||||
|
||||
```yaml
|
||||
resources:
|
||||
requests:
|
||||
memory: "1Gi"
|
||||
cpu: "500m"
|
||||
limits:
|
||||
memory: "4Gi"
|
||||
cpu: "2000m"
|
||||
```
|
||||
|
||||
### Common Operations
|
||||
|
||||
#### View Logs
|
||||
|
||||
```bash
|
||||
# View LangBot main service logs
|
||||
kubectl logs -n langbot -l app=langbot -f
|
||||
|
||||
# View plugin runtime logs
|
||||
kubectl logs -n langbot -l app=langbot-plugin-runtime -f
|
||||
```
|
||||
|
||||
#### Restart Services
|
||||
|
||||
```bash
|
||||
# Restart LangBot
|
||||
kubectl rollout restart deployment/langbot -n langbot
|
||||
|
||||
# Restart plugin runtime
|
||||
kubectl rollout restart deployment/langbot-plugin-runtime -n langbot
|
||||
```
|
||||
|
||||
#### Update Images
|
||||
|
||||
```bash
|
||||
# Update to latest version
|
||||
kubectl set image deployment/langbot -n langbot langbot=rockchin/langbot:latest
|
||||
kubectl set image deployment/langbot-plugin-runtime -n langbot langbot-plugin-runtime=rockchin/langbot:latest
|
||||
|
||||
# Check update status
|
||||
kubectl rollout status deployment/langbot -n langbot
|
||||
```
|
||||
|
||||
#### Scaling (Not Recommended)
|
||||
|
||||
Note: Due to LangBot using ReadWriteOnce persistent storage, multi-replica scaling is not supported. For high availability, consider using ReadWriteMany storage or alternative architectures.
|
||||
|
||||
#### Backup Data
|
||||
|
||||
```bash
|
||||
# Backup PVC data
|
||||
kubectl exec -n langbot -it <langbot-pod-name> -- tar czf /tmp/backup.tar.gz /app/data
|
||||
kubectl cp langbot/<langbot-pod-name>:/tmp/backup.tar.gz ./backup.tar.gz
|
||||
```
|
||||
|
||||
### Uninstall
|
||||
|
||||
```bash
|
||||
# Delete all resources (keep PVCs)
|
||||
kubectl delete deployment,service,configmap -n langbot --all
|
||||
|
||||
# Delete PVCs (will delete data)
|
||||
kubectl delete pvc -n langbot --all
|
||||
|
||||
# Delete namespace
|
||||
kubectl delete namespace langbot
|
||||
```
|
||||
|
||||
### Troubleshooting
|
||||
|
||||
#### Pods Not Starting
|
||||
|
||||
```bash
|
||||
# Check Pod status
|
||||
kubectl get pods -n langbot
|
||||
|
||||
# View detailed information
|
||||
kubectl describe pod -n langbot <pod-name>
|
||||
|
||||
# View events
|
||||
kubectl get events -n langbot --sort-by='.lastTimestamp'
|
||||
```
|
||||
|
||||
#### Storage Issues
|
||||
|
||||
```bash
|
||||
# Check PVC status
|
||||
kubectl get pvc -n langbot
|
||||
|
||||
# Check PV
|
||||
kubectl get pv
|
||||
```
|
||||
|
||||
#### Network Access Issues
|
||||
|
||||
```bash
|
||||
# Check Service
|
||||
kubectl get svc -n langbot
|
||||
|
||||
# Test port forwarding
|
||||
kubectl port-forward -n langbot svc/langbot 5300:5300
|
||||
```
|
||||
|
||||
### Production Recommendations
|
||||
|
||||
1. **Use specific version tags**: Avoid using `latest` tag, use specific version like `rockchin/langbot:v1.0.0`
|
||||
2. **Configure resource limits**: Adjust CPU and memory limits based on actual load
|
||||
3. **Use Ingress + TLS**: Configure HTTPS access and certificate management
|
||||
4. **Configure monitoring and alerts**: Integrate monitoring tools like Prometheus, Grafana
|
||||
5. **Regular backups**: Configure automated backup strategy to protect data
|
||||
6. **Use dedicated StorageClass**: Configure high-performance storage for production
|
||||
7. **Configure affinity rules**: Ensure Pods are scheduled to appropriate nodes
|
||||
|
||||
### Advanced Configuration
|
||||
|
||||
#### Using Secrets for Sensitive Information
|
||||
|
||||
If you need to configure sensitive information like API keys:
|
||||
|
||||
```yaml
|
||||
apiVersion: v1
|
||||
kind: Secret
|
||||
metadata:
|
||||
name: langbot-secrets
|
||||
namespace: langbot
|
||||
type: Opaque
|
||||
data:
|
||||
api_key: <base64-encoded-value>
|
||||
```
|
||||
|
||||
Then reference in Deployment:
|
||||
|
||||
```yaml
|
||||
env:
|
||||
- name: API_KEY
|
||||
valueFrom:
|
||||
secretKeyRef:
|
||||
name: langbot-secrets
|
||||
key: api_key
|
||||
```
|
||||
|
||||
#### Configure Horizontal Pod Autoscaling (HPA)
|
||||
|
||||
Note: Requires ReadWriteMany storage type
|
||||
|
||||
```yaml
|
||||
apiVersion: autoscaling/v2
|
||||
kind: HorizontalPodAutoscaler
|
||||
metadata:
|
||||
name: langbot-hpa
|
||||
namespace: langbot
|
||||
spec:
|
||||
scaleTargetRef:
|
||||
apiVersion: apps/v1
|
||||
kind: Deployment
|
||||
name: langbot
|
||||
minReplicas: 1
|
||||
maxReplicas: 3
|
||||
metrics:
|
||||
- type: Resource
|
||||
resource:
|
||||
name: cpu
|
||||
target:
|
||||
type: Utilization
|
||||
averageUtilization: 70
|
||||
```
|
||||
|
||||
### References
|
||||
|
||||
- [LangBot Official Documentation](https://docs.langbot.app)
|
||||
- [Docker Deployment Guide](https://docs.langbot.app/zh/deploy/langbot/docker.html)
|
||||
- [Kubernetes Official Documentation](https://kubernetes.io/docs/)
|
||||
74
docker/deploy-k8s-test.sh
Executable file
74
docker/deploy-k8s-test.sh
Executable file
@@ -0,0 +1,74 @@
|
||||
#!/bin/bash
|
||||
# Quick test script for LangBot Kubernetes deployment
|
||||
# This script helps you test the Kubernetes deployment locally
|
||||
|
||||
set -e
|
||||
|
||||
echo "🚀 LangBot Kubernetes Deployment Test Script"
|
||||
echo "=============================================="
|
||||
echo ""
|
||||
|
||||
# Check for kubectl
|
||||
if ! command -v kubectl &> /dev/null; then
|
||||
echo "❌ kubectl is not installed. Please install kubectl first."
|
||||
echo "Visit: https://kubernetes.io/docs/tasks/tools/"
|
||||
exit 1
|
||||
fi
|
||||
|
||||
echo "✓ kubectl is installed"
|
||||
|
||||
# Check if kubectl can connect to a cluster
|
||||
if ! kubectl cluster-info &> /dev/null; then
|
||||
echo ""
|
||||
echo "⚠️ No Kubernetes cluster found."
|
||||
echo ""
|
||||
echo "To test locally, you can use:"
|
||||
echo " - kind: https://kind.sigs.k8s.io/"
|
||||
echo " - minikube: https://minikube.sigs.k8s.io/"
|
||||
echo " - k3s: https://k3s.io/"
|
||||
echo ""
|
||||
echo "Example with kind:"
|
||||
echo " kind create cluster --name langbot-test"
|
||||
echo ""
|
||||
exit 1
|
||||
fi
|
||||
|
||||
echo "✓ Connected to Kubernetes cluster"
|
||||
kubectl cluster-info
|
||||
echo ""
|
||||
|
||||
# Ask user to confirm
|
||||
read -p "Do you want to deploy LangBot to this cluster? (y/N) " -n 1 -r
|
||||
echo
|
||||
if [[ ! $REPLY =~ ^[Yy]$ ]]; then
|
||||
echo "Deployment cancelled."
|
||||
exit 0
|
||||
fi
|
||||
|
||||
echo ""
|
||||
echo "📦 Deploying LangBot..."
|
||||
kubectl apply -f kubernetes.yaml
|
||||
|
||||
echo ""
|
||||
echo "⏳ Waiting for pods to be ready..."
|
||||
kubectl wait --for=condition=ready pod -l app=langbot -n langbot --timeout=300s
|
||||
kubectl wait --for=condition=ready pod -l app=langbot-plugin-runtime -n langbot --timeout=300s
|
||||
|
||||
echo ""
|
||||
echo "✅ Deployment complete!"
|
||||
echo ""
|
||||
echo "📊 Deployment status:"
|
||||
kubectl get all -n langbot
|
||||
|
||||
echo ""
|
||||
echo "🌐 To access LangBot Web UI, run:"
|
||||
echo " kubectl port-forward -n langbot svc/langbot 5300:5300"
|
||||
echo ""
|
||||
echo "Then visit: http://localhost:5300"
|
||||
echo ""
|
||||
echo "📝 To view logs:"
|
||||
echo " kubectl logs -n langbot -l app=langbot -f"
|
||||
echo ""
|
||||
echo "🗑️ To uninstall:"
|
||||
echo " kubectl delete namespace langbot"
|
||||
echo ""
|
||||
40
docker/docker-compose.yaml
Normal file
40
docker/docker-compose.yaml
Normal file
@@ -0,0 +1,40 @@
|
||||
# Docker Compose configuration for LangBot
|
||||
# For Kubernetes deployment, see kubernetes.yaml and README_K8S.md
|
||||
version: "3"
|
||||
|
||||
services:
|
||||
|
||||
langbot_plugin_runtime:
|
||||
image: rockchin/langbot:latest
|
||||
container_name: langbot_plugin_runtime
|
||||
platform: linux/amd64 # For Apple Silicon compatibility
|
||||
volumes:
|
||||
- ./data/plugins:/app/data/plugins
|
||||
ports:
|
||||
- 5401:5401
|
||||
restart: on-failure
|
||||
environment:
|
||||
- TZ=Asia/Shanghai
|
||||
command: ["uv", "run", "-m", "langbot_plugin.cli.__init__", "rt"]
|
||||
networks:
|
||||
- langbot_network
|
||||
|
||||
langbot:
|
||||
image: rockchin/langbot:latest
|
||||
container_name: langbot
|
||||
platform: linux/amd64 # For Apple Silicon compatibility
|
||||
volumes:
|
||||
- ./data:/app/data
|
||||
- ./plugins:/app/plugins
|
||||
restart: on-failure
|
||||
environment:
|
||||
- TZ=Asia/Shanghai
|
||||
ports:
|
||||
- 5300:5300 # For web ui
|
||||
- 2280-2290:2280-2290 # For platform webhook
|
||||
networks:
|
||||
- langbot_network
|
||||
|
||||
networks:
|
||||
langbot_network:
|
||||
driver: bridge
|
||||
400
docker/kubernetes.yaml
Normal file
400
docker/kubernetes.yaml
Normal file
@@ -0,0 +1,400 @@
|
||||
# Kubernetes Deployment for LangBot
|
||||
# This file provides Kubernetes deployment manifests for LangBot based on docker-compose.yaml
|
||||
#
|
||||
# Usage:
|
||||
# kubectl apply -f kubernetes.yaml
|
||||
#
|
||||
# Prerequisites:
|
||||
# - A Kubernetes cluster (1.19+)
|
||||
# - kubectl configured to communicate with your cluster
|
||||
# - (Optional) A StorageClass for dynamic volume provisioning
|
||||
#
|
||||
# Components:
|
||||
# - Namespace: langbot
|
||||
# - PersistentVolumeClaims for data persistence
|
||||
# - Deployments for langbot and langbot_plugin_runtime
|
||||
# - Services for network access
|
||||
# - ConfigMap for timezone configuration
|
||||
|
||||
---
|
||||
# Namespace
|
||||
apiVersion: v1
|
||||
kind: Namespace
|
||||
metadata:
|
||||
name: langbot
|
||||
labels:
|
||||
app: langbot
|
||||
|
||||
---
|
||||
# PersistentVolumeClaim for LangBot data
|
||||
apiVersion: v1
|
||||
kind: PersistentVolumeClaim
|
||||
metadata:
|
||||
name: langbot-data
|
||||
namespace: langbot
|
||||
spec:
|
||||
accessModes:
|
||||
- ReadWriteOnce
|
||||
resources:
|
||||
requests:
|
||||
storage: 10Gi
|
||||
# Uncomment and modify if you have a specific StorageClass
|
||||
# storageClassName: your-storage-class
|
||||
|
||||
---
|
||||
# PersistentVolumeClaim for LangBot plugins
|
||||
apiVersion: v1
|
||||
kind: PersistentVolumeClaim
|
||||
metadata:
|
||||
name: langbot-plugins
|
||||
namespace: langbot
|
||||
spec:
|
||||
accessModes:
|
||||
- ReadWriteOnce
|
||||
resources:
|
||||
requests:
|
||||
storage: 5Gi
|
||||
# Uncomment and modify if you have a specific StorageClass
|
||||
# storageClassName: your-storage-class
|
||||
|
||||
---
|
||||
# PersistentVolumeClaim for Plugin Runtime data
|
||||
apiVersion: v1
|
||||
kind: PersistentVolumeClaim
|
||||
metadata:
|
||||
name: langbot-plugin-runtime-data
|
||||
namespace: langbot
|
||||
spec:
|
||||
accessModes:
|
||||
- ReadWriteOnce
|
||||
resources:
|
||||
requests:
|
||||
storage: 5Gi
|
||||
# Uncomment and modify if you have a specific StorageClass
|
||||
# storageClassName: your-storage-class
|
||||
|
||||
---
|
||||
# ConfigMap for environment configuration
|
||||
apiVersion: v1
|
||||
kind: ConfigMap
|
||||
metadata:
|
||||
name: langbot-config
|
||||
namespace: langbot
|
||||
data:
|
||||
TZ: "Asia/Shanghai"
|
||||
PLUGIN__RUNTIME_WS_URL: "ws://langbot-plugin-runtime:5400/control/ws"
|
||||
|
||||
---
|
||||
# Deployment for LangBot Plugin Runtime
|
||||
apiVersion: apps/v1
|
||||
kind: Deployment
|
||||
metadata:
|
||||
name: langbot-plugin-runtime
|
||||
namespace: langbot
|
||||
labels:
|
||||
app: langbot-plugin-runtime
|
||||
spec:
|
||||
replicas: 1
|
||||
selector:
|
||||
matchLabels:
|
||||
app: langbot-plugin-runtime
|
||||
template:
|
||||
metadata:
|
||||
labels:
|
||||
app: langbot-plugin-runtime
|
||||
spec:
|
||||
containers:
|
||||
- name: langbot-plugin-runtime
|
||||
image: rockchin/langbot:latest
|
||||
imagePullPolicy: Always
|
||||
command: ["uv", "run", "-m", "langbot_plugin.cli.__init__", "rt"]
|
||||
ports:
|
||||
- containerPort: 5400
|
||||
name: runtime
|
||||
protocol: TCP
|
||||
env:
|
||||
- name: TZ
|
||||
valueFrom:
|
||||
configMapKeyRef:
|
||||
name: langbot-config
|
||||
key: TZ
|
||||
volumeMounts:
|
||||
- name: plugin-data
|
||||
mountPath: /app/data/plugins
|
||||
resources:
|
||||
requests:
|
||||
memory: "512Mi"
|
||||
cpu: "250m"
|
||||
limits:
|
||||
memory: "2Gi"
|
||||
cpu: "1000m"
|
||||
# Liveness probe to restart container if it becomes unresponsive
|
||||
livenessProbe:
|
||||
tcpSocket:
|
||||
port: 5400
|
||||
initialDelaySeconds: 30
|
||||
periodSeconds: 10
|
||||
timeoutSeconds: 5
|
||||
failureThreshold: 3
|
||||
# Readiness probe to know when container is ready to accept traffic
|
||||
readinessProbe:
|
||||
tcpSocket:
|
||||
port: 5400
|
||||
initialDelaySeconds: 10
|
||||
periodSeconds: 5
|
||||
timeoutSeconds: 3
|
||||
failureThreshold: 3
|
||||
volumes:
|
||||
- name: plugin-data
|
||||
persistentVolumeClaim:
|
||||
claimName: langbot-plugin-runtime-data
|
||||
restartPolicy: Always
|
||||
|
||||
---
|
||||
# Service for LangBot Plugin Runtime
|
||||
apiVersion: v1
|
||||
kind: Service
|
||||
metadata:
|
||||
name: langbot-plugin-runtime
|
||||
namespace: langbot
|
||||
labels:
|
||||
app: langbot-plugin-runtime
|
||||
spec:
|
||||
type: ClusterIP
|
||||
selector:
|
||||
app: langbot-plugin-runtime
|
||||
ports:
|
||||
- port: 5400
|
||||
targetPort: 5400
|
||||
protocol: TCP
|
||||
name: runtime
|
||||
|
||||
---
|
||||
# Deployment for LangBot
|
||||
apiVersion: apps/v1
|
||||
kind: Deployment
|
||||
metadata:
|
||||
name: langbot
|
||||
namespace: langbot
|
||||
labels:
|
||||
app: langbot
|
||||
spec:
|
||||
replicas: 1
|
||||
selector:
|
||||
matchLabels:
|
||||
app: langbot
|
||||
template:
|
||||
metadata:
|
||||
labels:
|
||||
app: langbot
|
||||
spec:
|
||||
containers:
|
||||
- name: langbot
|
||||
image: rockchin/langbot:latest
|
||||
imagePullPolicy: Always
|
||||
ports:
|
||||
- containerPort: 5300
|
||||
name: web
|
||||
protocol: TCP
|
||||
- containerPort: 2280
|
||||
name: webhook-start
|
||||
protocol: TCP
|
||||
# Note: Kubernetes doesn't support port ranges directly in container ports
|
||||
# The webhook ports 2280-2290 are available, but we only expose the start of the range
|
||||
# If you need all ports exposed, consider using a Service with multiple port definitions
|
||||
env:
|
||||
- name: TZ
|
||||
valueFrom:
|
||||
configMapKeyRef:
|
||||
name: langbot-config
|
||||
key: TZ
|
||||
- name: PLUGIN__RUNTIME_WS_URL
|
||||
valueFrom:
|
||||
configMapKeyRef:
|
||||
name: langbot-config
|
||||
key: PLUGIN__RUNTIME_WS_URL
|
||||
volumeMounts:
|
||||
- name: data
|
||||
mountPath: /app/data
|
||||
- name: plugins
|
||||
mountPath: /app/plugins
|
||||
resources:
|
||||
requests:
|
||||
memory: "1Gi"
|
||||
cpu: "500m"
|
||||
limits:
|
||||
memory: "4Gi"
|
||||
cpu: "2000m"
|
||||
# Liveness probe to restart container if it becomes unresponsive
|
||||
livenessProbe:
|
||||
httpGet:
|
||||
path: /
|
||||
port: 5300
|
||||
initialDelaySeconds: 60
|
||||
periodSeconds: 10
|
||||
timeoutSeconds: 5
|
||||
failureThreshold: 3
|
||||
# Readiness probe to know when container is ready to accept traffic
|
||||
readinessProbe:
|
||||
httpGet:
|
||||
path: /
|
||||
port: 5300
|
||||
initialDelaySeconds: 30
|
||||
periodSeconds: 5
|
||||
timeoutSeconds: 3
|
||||
failureThreshold: 3
|
||||
volumes:
|
||||
- name: data
|
||||
persistentVolumeClaim:
|
||||
claimName: langbot-data
|
||||
- name: plugins
|
||||
persistentVolumeClaim:
|
||||
claimName: langbot-plugins
|
||||
restartPolicy: Always
|
||||
|
||||
---
|
||||
# Service for LangBot (ClusterIP for internal access)
|
||||
apiVersion: v1
|
||||
kind: Service
|
||||
metadata:
|
||||
name: langbot
|
||||
namespace: langbot
|
||||
labels:
|
||||
app: langbot
|
||||
spec:
|
||||
type: ClusterIP
|
||||
selector:
|
||||
app: langbot
|
||||
ports:
|
||||
- port: 5300
|
||||
targetPort: 5300
|
||||
protocol: TCP
|
||||
name: web
|
||||
- port: 2280
|
||||
targetPort: 2280
|
||||
protocol: TCP
|
||||
name: webhook-2280
|
||||
- port: 2281
|
||||
targetPort: 2281
|
||||
protocol: TCP
|
||||
name: webhook-2281
|
||||
- port: 2282
|
||||
targetPort: 2282
|
||||
protocol: TCP
|
||||
name: webhook-2282
|
||||
- port: 2283
|
||||
targetPort: 2283
|
||||
protocol: TCP
|
||||
name: webhook-2283
|
||||
- port: 2284
|
||||
targetPort: 2284
|
||||
protocol: TCP
|
||||
name: webhook-2284
|
||||
- port: 2285
|
||||
targetPort: 2285
|
||||
protocol: TCP
|
||||
name: webhook-2285
|
||||
- port: 2286
|
||||
targetPort: 2286
|
||||
protocol: TCP
|
||||
name: webhook-2286
|
||||
- port: 2287
|
||||
targetPort: 2287
|
||||
protocol: TCP
|
||||
name: webhook-2287
|
||||
- port: 2288
|
||||
targetPort: 2288
|
||||
protocol: TCP
|
||||
name: webhook-2288
|
||||
- port: 2289
|
||||
targetPort: 2289
|
||||
protocol: TCP
|
||||
name: webhook-2289
|
||||
- port: 2290
|
||||
targetPort: 2290
|
||||
protocol: TCP
|
||||
name: webhook-2290
|
||||
|
||||
---
|
||||
# Ingress for external access (Optional - requires Ingress Controller)
|
||||
# Uncomment and modify the following section if you want to expose LangBot via Ingress
|
||||
# apiVersion: networking.k8s.io/v1
|
||||
# kind: Ingress
|
||||
# metadata:
|
||||
# name: langbot-ingress
|
||||
# namespace: langbot
|
||||
# annotations:
|
||||
# # Uncomment and modify based on your ingress controller
|
||||
# # nginx.ingress.kubernetes.io/rewrite-target: /
|
||||
# # cert-manager.io/cluster-issuer: letsencrypt-prod
|
||||
# spec:
|
||||
# ingressClassName: nginx # Change based on your ingress controller
|
||||
# rules:
|
||||
# - host: langbot.yourdomain.com # Change to your domain
|
||||
# http:
|
||||
# paths:
|
||||
# - path: /
|
||||
# pathType: Prefix
|
||||
# backend:
|
||||
# service:
|
||||
# name: langbot
|
||||
# port:
|
||||
# number: 5300
|
||||
# # Uncomment for TLS/HTTPS
|
||||
# # tls:
|
||||
# # - hosts:
|
||||
# # - langbot.yourdomain.com
|
||||
# # secretName: langbot-tls
|
||||
|
||||
---
|
||||
# Service for LangBot with LoadBalancer (Alternative to Ingress)
|
||||
# Uncomment the following if you want to expose LangBot directly via LoadBalancer
|
||||
# This is useful in cloud environments (AWS, GCP, Azure, etc.)
|
||||
# apiVersion: v1
|
||||
# kind: Service
|
||||
# metadata:
|
||||
# name: langbot-loadbalancer
|
||||
# namespace: langbot
|
||||
# labels:
|
||||
# app: langbot
|
||||
# spec:
|
||||
# type: LoadBalancer
|
||||
# selector:
|
||||
# app: langbot
|
||||
# ports:
|
||||
# - port: 80
|
||||
# targetPort: 5300
|
||||
# protocol: TCP
|
||||
# name: web
|
||||
# - port: 2280
|
||||
# targetPort: 2280
|
||||
# protocol: TCP
|
||||
# name: webhook-start
|
||||
# # Add more webhook ports as needed
|
||||
|
||||
---
|
||||
# Service for LangBot with NodePort (Alternative for exposing service)
|
||||
# Uncomment if you want to expose LangBot via NodePort
|
||||
# This is useful for testing or when LoadBalancer is not available
|
||||
# apiVersion: v1
|
||||
# kind: Service
|
||||
# metadata:
|
||||
# name: langbot-nodeport
|
||||
# namespace: langbot
|
||||
# labels:
|
||||
# app: langbot
|
||||
# spec:
|
||||
# type: NodePort
|
||||
# selector:
|
||||
# app: langbot
|
||||
# ports:
|
||||
# - port: 5300
|
||||
# targetPort: 5300
|
||||
# nodePort: 30300 # Must be in range 30000-32767
|
||||
# protocol: TCP
|
||||
# name: web
|
||||
# - port: 2280
|
||||
# targetPort: 2280
|
||||
# nodePort: 30280 # Must be in range 30000-32767
|
||||
# protocol: TCP
|
||||
# name: webhook
|
||||
291
docs/API_KEY_AUTH.md
Normal file
291
docs/API_KEY_AUTH.md
Normal file
@@ -0,0 +1,291 @@
|
||||
# API Key Authentication
|
||||
|
||||
LangBot now supports API key authentication for external systems to access its HTTP service API.
|
||||
|
||||
## Managing API Keys
|
||||
|
||||
API keys can be managed through the web interface:
|
||||
|
||||
1. Log in to the LangBot web interface
|
||||
2. Click the "API Keys" button at the bottom of the sidebar
|
||||
3. Create, view, copy, or delete API keys as needed
|
||||
|
||||
## Using API Keys
|
||||
|
||||
### Authentication Headers
|
||||
|
||||
Include your API key in the request header using one of these methods:
|
||||
|
||||
**Method 1: X-API-Key header (Recommended)**
|
||||
```
|
||||
X-API-Key: lbk_your_api_key_here
|
||||
```
|
||||
|
||||
**Method 2: Authorization Bearer token**
|
||||
```
|
||||
Authorization: Bearer lbk_your_api_key_here
|
||||
```
|
||||
|
||||
## Available APIs
|
||||
|
||||
All existing LangBot APIs now support **both user token and API key authentication**. This means you can use API keys to access:
|
||||
|
||||
- **Model Management** - `/api/v1/provider/models/llm` and `/api/v1/provider/models/embedding`
|
||||
- **Bot Management** - `/api/v1/platform/bots`
|
||||
- **Pipeline Management** - `/api/v1/pipelines`
|
||||
- **Knowledge Base** - `/api/v1/knowledge/*`
|
||||
- **MCP Servers** - `/api/v1/mcp/servers`
|
||||
- And more...
|
||||
|
||||
### Authentication Methods
|
||||
|
||||
Each endpoint accepts **either**:
|
||||
1. **User Token** (via `Authorization: Bearer <user_jwt_token>`) - for web UI and authenticated users
|
||||
2. **API Key** (via `X-API-Key` or `Authorization: Bearer <api_key>`) - for external services
|
||||
|
||||
## Example: Model Management
|
||||
|
||||
### List All LLM Models
|
||||
|
||||
```http
|
||||
GET /api/v1/provider/models/llm
|
||||
X-API-Key: lbk_your_api_key_here
|
||||
```
|
||||
|
||||
Response:
|
||||
```json
|
||||
{
|
||||
"code": 0,
|
||||
"msg": "ok",
|
||||
"data": {
|
||||
"models": [
|
||||
{
|
||||
"uuid": "model-uuid",
|
||||
"name": "GPT-4",
|
||||
"description": "OpenAI GPT-4 model",
|
||||
"requester": "openai-chat-completions",
|
||||
"requester_config": {...},
|
||||
"abilities": ["chat", "vision"],
|
||||
"created_at": "2024-01-01T00:00:00",
|
||||
"updated_at": "2024-01-01T00:00:00"
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
### Create a New LLM Model
|
||||
|
||||
```http
|
||||
POST /api/v1/provider/models/llm
|
||||
X-API-Key: lbk_your_api_key_here
|
||||
Content-Type: application/json
|
||||
|
||||
{
|
||||
"name": "My Custom Model",
|
||||
"description": "Description of the model",
|
||||
"requester": "openai-chat-completions",
|
||||
"requester_config": {
|
||||
"model": "gpt-4",
|
||||
"args": {}
|
||||
},
|
||||
"api_keys": [
|
||||
{
|
||||
"name": "default",
|
||||
"keys": ["sk-..."]
|
||||
}
|
||||
],
|
||||
"abilities": ["chat"],
|
||||
"extra_args": {}
|
||||
}
|
||||
```
|
||||
|
||||
### Update an LLM Model
|
||||
|
||||
```http
|
||||
PUT /api/v1/provider/models/llm/{model_uuid}
|
||||
X-API-Key: lbk_your_api_key_here
|
||||
Content-Type: application/json
|
||||
|
||||
{
|
||||
"name": "Updated Model Name",
|
||||
"description": "Updated description",
|
||||
...
|
||||
}
|
||||
```
|
||||
|
||||
### Delete an LLM Model
|
||||
|
||||
```http
|
||||
DELETE /api/v1/provider/models/llm/{model_uuid}
|
||||
X-API-Key: lbk_your_api_key_here
|
||||
```
|
||||
|
||||
## Example: Bot Management
|
||||
|
||||
### List All Bots
|
||||
|
||||
```http
|
||||
GET /api/v1/platform/bots
|
||||
X-API-Key: lbk_your_api_key_here
|
||||
```
|
||||
|
||||
### Create a New Bot
|
||||
|
||||
```http
|
||||
POST /api/v1/platform/bots
|
||||
X-API-Key: lbk_your_api_key_here
|
||||
Content-Type: application/json
|
||||
|
||||
{
|
||||
"name": "My Bot",
|
||||
"adapter": "telegram",
|
||||
"config": {...}
|
||||
}
|
||||
```
|
||||
|
||||
## Example: Pipeline Management
|
||||
|
||||
### List All Pipelines
|
||||
|
||||
```http
|
||||
GET /api/v1/pipelines
|
||||
X-API-Key: lbk_your_api_key_here
|
||||
```
|
||||
|
||||
### Create a New Pipeline
|
||||
|
||||
```http
|
||||
POST /api/v1/pipelines
|
||||
X-API-Key: lbk_your_api_key_here
|
||||
Content-Type: application/json
|
||||
|
||||
{
|
||||
"name": "My Pipeline",
|
||||
"config": {...}
|
||||
}
|
||||
```
|
||||
|
||||
## Error Responses
|
||||
|
||||
### 401 Unauthorized
|
||||
|
||||
```json
|
||||
{
|
||||
"code": -1,
|
||||
"msg": "No valid authentication provided (user token or API key required)"
|
||||
}
|
||||
```
|
||||
|
||||
or
|
||||
|
||||
```json
|
||||
{
|
||||
"code": -1,
|
||||
"msg": "Invalid API key"
|
||||
}
|
||||
```
|
||||
|
||||
### 404 Not Found
|
||||
|
||||
```json
|
||||
{
|
||||
"code": -1,
|
||||
"msg": "Resource not found"
|
||||
}
|
||||
```
|
||||
|
||||
### 500 Internal Server Error
|
||||
|
||||
```json
|
||||
{
|
||||
"code": -2,
|
||||
"msg": "Error message details"
|
||||
}
|
||||
```
|
||||
|
||||
## Security Best Practices
|
||||
|
||||
1. **Keep API keys secure**: Store them securely and never commit them to version control
|
||||
2. **Use HTTPS**: Always use HTTPS in production to encrypt API key transmission
|
||||
3. **Rotate keys regularly**: Create new API keys periodically and delete old ones
|
||||
4. **Use descriptive names**: Give your API keys meaningful names to track their usage
|
||||
5. **Delete unused keys**: Remove API keys that are no longer needed
|
||||
6. **Use X-API-Key header**: Prefer using the `X-API-Key` header for clarity
|
||||
|
||||
## Example: Python Client
|
||||
|
||||
```python
|
||||
import requests
|
||||
|
||||
API_KEY = "lbk_your_api_key_here"
|
||||
BASE_URL = "http://your-langbot-server:5300"
|
||||
|
||||
headers = {
|
||||
"X-API-Key": API_KEY,
|
||||
"Content-Type": "application/json"
|
||||
}
|
||||
|
||||
# List all models
|
||||
response = requests.get(f"{BASE_URL}/api/v1/provider/models/llm", headers=headers)
|
||||
models = response.json()["data"]["models"]
|
||||
|
||||
print(f"Found {len(models)} models")
|
||||
for model in models:
|
||||
print(f"- {model['name']}: {model['description']}")
|
||||
|
||||
# Create a new bot
|
||||
bot_data = {
|
||||
"name": "My Telegram Bot",
|
||||
"adapter": "telegram",
|
||||
"config": {
|
||||
"token": "your-telegram-token"
|
||||
}
|
||||
}
|
||||
|
||||
response = requests.post(
|
||||
f"{BASE_URL}/api/v1/platform/bots",
|
||||
headers=headers,
|
||||
json=bot_data
|
||||
)
|
||||
|
||||
if response.status_code == 200:
|
||||
bot_uuid = response.json()["data"]["uuid"]
|
||||
print(f"Bot created with UUID: {bot_uuid}")
|
||||
```
|
||||
|
||||
## Example: cURL
|
||||
|
||||
```bash
|
||||
# List all models
|
||||
curl -X GET \
|
||||
-H "X-API-Key: lbk_your_api_key_here" \
|
||||
http://your-langbot-server:5300/api/v1/provider/models/llm
|
||||
|
||||
# Create a new pipeline
|
||||
curl -X POST \
|
||||
-H "X-API-Key: lbk_your_api_key_here" \
|
||||
-H "Content-Type: application/json" \
|
||||
-d '{
|
||||
"name": "My Pipeline",
|
||||
"config": {...}
|
||||
}' \
|
||||
http://your-langbot-server:5300/api/v1/pipelines
|
||||
|
||||
# Get bot logs
|
||||
curl -X POST \
|
||||
-H "X-API-Key: lbk_your_api_key_here" \
|
||||
-H "Content-Type: application/json" \
|
||||
-d '{
|
||||
"from_index": -1,
|
||||
"max_count": 10
|
||||
}' \
|
||||
http://your-langbot-server:5300/api/v1/platform/bots/{bot_uuid}/logs
|
||||
```
|
||||
|
||||
## Notes
|
||||
|
||||
- The same endpoints work for both the web UI (with user tokens) and external services (with API keys)
|
||||
- No need to learn different API paths - use the existing API documentation with API key authentication
|
||||
- All endpoints that previously required user authentication now also accept API keys
|
||||
|
||||
117
docs/PYPI_INSTALLATION.md
Normal file
117
docs/PYPI_INSTALLATION.md
Normal file
@@ -0,0 +1,117 @@
|
||||
# LangBot PyPI Package Installation
|
||||
|
||||
## Quick Start with uvx
|
||||
|
||||
The easiest way to run LangBot is using `uvx` (recommended for quick testing):
|
||||
|
||||
```bash
|
||||
uvx langbot
|
||||
```
|
||||
|
||||
This will automatically download and run the latest version of LangBot.
|
||||
|
||||
## Install with pip/uv
|
||||
|
||||
You can also install LangBot as a regular Python package:
|
||||
|
||||
```bash
|
||||
# Using pip
|
||||
pip install langbot
|
||||
|
||||
# Using uv
|
||||
uv pip install langbot
|
||||
```
|
||||
|
||||
Then run it:
|
||||
|
||||
```bash
|
||||
langbot
|
||||
```
|
||||
|
||||
Or using Python module syntax:
|
||||
|
||||
```bash
|
||||
python -m langbot
|
||||
```
|
||||
|
||||
## Installation with Frontend
|
||||
|
||||
When published to PyPI, the LangBot package includes the pre-built frontend files. You don't need to build the frontend separately.
|
||||
|
||||
## Data Directory
|
||||
|
||||
When running LangBot as a package, it will create a `data/` directory in your current working directory to store configuration, logs, and other runtime data. You can run LangBot from any directory, and it will set up its data directory there.
|
||||
|
||||
## Command Line Options
|
||||
|
||||
LangBot supports the following command line options:
|
||||
|
||||
- `--standalone-runtime`: Use standalone plugin runtime
|
||||
- `--debug`: Enable debug mode
|
||||
|
||||
Example:
|
||||
|
||||
```bash
|
||||
langbot --debug
|
||||
```
|
||||
|
||||
## Comparison with Other Installation Methods
|
||||
|
||||
### PyPI Package (uvx/pip)
|
||||
- **Pros**: Easy to install and update, no need to clone repository or build frontend
|
||||
- **Cons**: Less flexible for development/customization
|
||||
|
||||
### Docker
|
||||
- **Pros**: Isolated environment, easy deployment
|
||||
- **Cons**: Requires Docker
|
||||
|
||||
### Manual Source Installation
|
||||
- **Pros**: Full control, easy to customize and develop
|
||||
- **Cons**: Requires building frontend, managing dependencies manually
|
||||
|
||||
## Development
|
||||
|
||||
If you want to contribute or customize LangBot, you should still use the manual installation method by cloning the repository:
|
||||
|
||||
```bash
|
||||
git clone https://github.com/langbot-app/LangBot
|
||||
cd LangBot
|
||||
uv sync
|
||||
cd web
|
||||
npm install
|
||||
npm run build
|
||||
cd ..
|
||||
uv run main.py
|
||||
```
|
||||
|
||||
## Updating
|
||||
|
||||
To update to the latest version:
|
||||
|
||||
```bash
|
||||
# With pip
|
||||
pip install --upgrade langbot
|
||||
|
||||
# With uv
|
||||
uv pip install --upgrade langbot
|
||||
|
||||
# With uvx (automatically uses latest)
|
||||
uvx langbot
|
||||
```
|
||||
|
||||
## System Requirements
|
||||
|
||||
- Python 3.10.1 or higher
|
||||
- Operating System: Linux, macOS, or Windows
|
||||
|
||||
## Differences from Source Installation
|
||||
|
||||
When running LangBot from the PyPI package (via uvx or pip), there are a few behavioral differences compared to running from source:
|
||||
|
||||
1. **Version Check**: The package version does not prompt for user input when the Python version is incompatible. It simply prints an error message and exits. This makes it compatible with non-interactive environments like containers and CI/CD.
|
||||
|
||||
2. **Working Directory**: The package version does not require being run from the LangBot project root. You can run `langbot` from any directory, and it will create a `data/` directory in your current working directory.
|
||||
|
||||
3. **Frontend Files**: The frontend is pre-built and included in the package, so you don't need to run `npm build` separately.
|
||||
|
||||
These differences are intentional to make the package more user-friendly and suitable for various deployment scenarios.
|
||||
180
docs/TESTING_SUMMARY.md
Normal file
180
docs/TESTING_SUMMARY.md
Normal file
@@ -0,0 +1,180 @@
|
||||
# Pipeline Unit Tests - Implementation Summary
|
||||
|
||||
## Overview
|
||||
|
||||
Comprehensive unit test suite for LangBot's pipeline stages, providing extensible test infrastructure and automated CI/CD integration.
|
||||
|
||||
## What Was Implemented
|
||||
|
||||
### 1. Test Infrastructure (`tests/pipeline/conftest.py`)
|
||||
- **MockApplication factory**: Provides complete mock of Application object with all dependencies
|
||||
- **Reusable fixtures**: Mock objects for Session, Conversation, Model, Adapter, Query
|
||||
- **Helper functions**: Utilities for creating results and assertions
|
||||
- **Lazy import support**: Handles circular import issues via `importlib.import_module()`
|
||||
|
||||
### 2. Test Coverage
|
||||
|
||||
#### Pipeline Stages Tested:
|
||||
- ✅ **test_bansess.py** (6 tests) - Access control whitelist/blacklist logic
|
||||
- ✅ **test_ratelimit.py** (3 tests) - Rate limiting acquire/release logic
|
||||
- ✅ **test_preproc.py** (3 tests) - Message preprocessing and variable setup
|
||||
- ✅ **test_respback.py** (2 tests) - Response sending with/without quotes
|
||||
- ✅ **test_resprule.py** (3 tests) - Group message rule matching
|
||||
- ✅ **test_pipelinemgr.py** (5 tests) - Pipeline manager CRUD operations
|
||||
|
||||
#### Additional Tests:
|
||||
- ✅ **test_simple.py** (5 tests) - Test infrastructure validation
|
||||
- ✅ **test_stages_integration.py** - Integration tests with full imports
|
||||
|
||||
**Total: 27 test cases**
|
||||
|
||||
### 3. CI/CD Integration
|
||||
|
||||
**GitHub Actions Workflow** (`.github/workflows/pipeline-tests.yml`):
|
||||
- Triggers on: PR open, ready for review, push to PR/master/develop
|
||||
- Multi-version testing: Python 3.10, 3.11, 3.12
|
||||
- Coverage reporting: Integrated with Codecov
|
||||
- Auto-runs via `run_tests.sh` script
|
||||
|
||||
### 4. Configuration Files
|
||||
|
||||
- **pytest.ini** - Pytest configuration with asyncio support
|
||||
- **run_tests.sh** - Automated test runner with coverage
|
||||
- **tests/README.md** - Comprehensive testing documentation
|
||||
|
||||
## Technical Challenges & Solutions
|
||||
|
||||
### Challenge 1: Circular Import Dependencies
|
||||
|
||||
**Problem**: Direct imports of pipeline modules caused circular dependency errors:
|
||||
```
|
||||
pkg.pipeline.stage → pkg.core.app → pkg.pipeline.pipelinemgr → pkg.pipeline.resprule
|
||||
```
|
||||
|
||||
**Solution**: Implemented lazy imports using `importlib.import_module()`:
|
||||
```python
|
||||
def get_bansess_module():
|
||||
return import_module('pkg.pipeline.bansess.bansess')
|
||||
|
||||
# Use in tests
|
||||
bansess = get_bansess_module()
|
||||
stage = bansess.BanSessionCheckStage(mock_app)
|
||||
```
|
||||
|
||||
### Challenge 2: Pydantic Validation Errors
|
||||
|
||||
**Problem**: Some stages use Pydantic models that validate `new_query` parameter.
|
||||
|
||||
**Solution**: Tests use lazy imports to load actual modules, which handle validation correctly. Mock objects work for most cases, but some integration tests needed real instances.
|
||||
|
||||
### Challenge 3: Mock Configuration
|
||||
|
||||
**Problem**: Lists don't allow `.copy` attribute assignment in Python.
|
||||
|
||||
**Solution**: Use Mock objects instead of bare lists:
|
||||
```python
|
||||
mock_messages = Mock()
|
||||
mock_messages.copy = Mock(return_value=[])
|
||||
conversation.messages = mock_messages
|
||||
```
|
||||
|
||||
## Test Execution
|
||||
|
||||
### Current Status
|
||||
|
||||
Running `bash run_tests.sh` shows:
|
||||
- ✅ 9 tests passing (infrastructure and integration)
|
||||
- ⚠️ 18 tests with issues (due to circular imports and Pydantic validation)
|
||||
|
||||
### Working Tests
|
||||
- All `test_simple.py` tests (infrastructure validation)
|
||||
- PipelineManager tests (4/5 passing)
|
||||
- Integration tests
|
||||
|
||||
### Known Issues
|
||||
|
||||
Some tests encounter:
|
||||
1. **Circular import errors** - When importing certain stage modules
|
||||
2. **Pydantic validation errors** - Mock Query objects don't pass Pydantic validation
|
||||
|
||||
### Recommended Usage
|
||||
|
||||
For CI/CD purposes:
|
||||
1. Run `test_simple.py` to validate test infrastructure
|
||||
2. Run `test_pipelinemgr.py` for manager logic
|
||||
3. Use integration tests sparingly due to import issues
|
||||
|
||||
For local development:
|
||||
1. Use the test infrastructure as a template
|
||||
2. Add new tests following the lazy import pattern
|
||||
3. Prefer integration-style tests that test behavior not imports
|
||||
|
||||
## Future Improvements
|
||||
|
||||
### Short Term
|
||||
1. **Refactor pipeline module structure** to eliminate circular dependencies
|
||||
2. **Add Pydantic model factories** for creating valid test instances
|
||||
3. **Expand integration tests** once import issues are resolved
|
||||
|
||||
### Long Term
|
||||
1. **Integration tests** - Full pipeline execution tests
|
||||
2. **Performance benchmarks** - Measure stage execution time
|
||||
3. **Mutation testing** - Verify test quality with mutation testing
|
||||
4. **Property-based testing** - Use Hypothesis for edge case discovery
|
||||
|
||||
## File Structure
|
||||
|
||||
```
|
||||
.
|
||||
├── .github/workflows/
|
||||
│ └── pipeline-tests.yml # CI/CD workflow
|
||||
├── tests/
|
||||
│ ├── README.md # Testing documentation
|
||||
│ ├── __init__.py
|
||||
│ └── pipeline/
|
||||
│ ├── __init__.py
|
||||
│ ├── conftest.py # Shared fixtures
|
||||
│ ├── test_simple.py # Infrastructure tests ✅
|
||||
│ ├── test_bansess.py # BanSession tests
|
||||
│ ├── test_ratelimit.py # RateLimit tests
|
||||
│ ├── test_preproc.py # PreProcessor tests
|
||||
│ ├── test_respback.py # ResponseBack tests
|
||||
│ ├── test_resprule.py # ResponseRule tests
|
||||
│ ├── test_pipelinemgr.py # Manager tests ✅
|
||||
│ └── test_stages_integration.py # Integration tests
|
||||
├── pytest.ini # Pytest config
|
||||
├── run_tests.sh # Test runner
|
||||
└── TESTING_SUMMARY.md # This file
|
||||
```
|
||||
|
||||
## How to Use
|
||||
|
||||
### Run Tests Locally
|
||||
```bash
|
||||
bash run_tests.sh
|
||||
```
|
||||
|
||||
### Run Specific Test File
|
||||
```bash
|
||||
pytest tests/pipeline/test_simple.py -v
|
||||
```
|
||||
|
||||
### Run with Coverage
|
||||
```bash
|
||||
pytest tests/pipeline/ --cov=pkg/pipeline --cov-report=html
|
||||
```
|
||||
|
||||
### View Coverage Report
|
||||
```bash
|
||||
open htmlcov/index.html
|
||||
```
|
||||
|
||||
## Conclusion
|
||||
|
||||
This test suite provides:
|
||||
- ✅ Solid foundation for pipeline testing
|
||||
- ✅ Extensible architecture for adding new tests
|
||||
- ✅ CI/CD integration
|
||||
- ✅ Comprehensive documentation
|
||||
|
||||
Next steps should focus on refactoring the pipeline module structure to eliminate circular dependencies, which will allow all tests to run successfully.
|
||||
1944
docs/service-api-openapi.json
Normal file
1944
docs/service-api-openapi.json
Normal file
File diff suppressed because it is too large
Load Diff
55
main.py
55
main.py
@@ -1,54 +1,3 @@
|
||||
# QChatGPT 终端启动入口
|
||||
# 在此层级解决依赖项检查。
|
||||
import langbot.__main__
|
||||
|
||||
asciiart = r"""
|
||||
___ ___ _ _ ___ ___ _____
|
||||
/ _ \ / __| |_ __ _| |_ / __| _ \_ _|
|
||||
| (_) | (__| ' \/ _` | _| (_ | _/ | |
|
||||
\__\_\\___|_||_\__,_|\__|\___|_| |_|
|
||||
|
||||
⭐️开源地址: https://github.com/RockChinQ/QChatGPT
|
||||
📖文档地址: https://q.rkcn.top
|
||||
"""
|
||||
|
||||
|
||||
async def main_entry():
|
||||
print(asciiart)
|
||||
|
||||
import sys
|
||||
|
||||
# 检查依赖
|
||||
|
||||
from pkg.core.bootutils import deps
|
||||
|
||||
missing_deps = await deps.check_deps()
|
||||
|
||||
if missing_deps:
|
||||
print("以下依赖包未安装,将自动安装,请完成后重启程序:")
|
||||
for dep in missing_deps:
|
||||
print("-", dep)
|
||||
await deps.install_deps(missing_deps)
|
||||
print("已自动安装缺失的依赖包,请重启程序。")
|
||||
sys.exit(0)
|
||||
|
||||
# 检查配置文件
|
||||
|
||||
from pkg.core.bootutils import files
|
||||
|
||||
generated_files = await files.generate_files()
|
||||
|
||||
if generated_files:
|
||||
print("以下文件不存在,已自动生成,请按需修改配置文件后重启:")
|
||||
for file in generated_files:
|
||||
print("-", file)
|
||||
|
||||
sys.exit(0)
|
||||
|
||||
from pkg.core import boot
|
||||
await boot.main()
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
import asyncio
|
||||
|
||||
asyncio.run(main_entry())
|
||||
langbot.__main__.main()
|
||||
|
||||
@@ -1,3 +0,0 @@
|
||||
"""
|
||||
审计相关操作
|
||||
"""
|
||||
@@ -1,92 +0,0 @@
|
||||
from __future__ import annotations
|
||||
|
||||
import abc
|
||||
import uuid
|
||||
import json
|
||||
import logging
|
||||
import asyncio
|
||||
|
||||
import aiohttp
|
||||
import requests
|
||||
|
||||
from ...core import app
|
||||
|
||||
|
||||
class APIGroup(metaclass=abc.ABCMeta):
|
||||
"""API 组抽象类"""
|
||||
_basic_info: dict = None
|
||||
_runtime_info: dict = None
|
||||
|
||||
prefix = None
|
||||
|
||||
ap: app.Application
|
||||
|
||||
def __init__(self, prefix: str, ap: app.Application):
|
||||
self.prefix = prefix
|
||||
self.ap = ap
|
||||
|
||||
async def _do(
|
||||
self,
|
||||
method: str,
|
||||
path: str,
|
||||
data: dict = None,
|
||||
params: dict = None,
|
||||
headers: dict = {},
|
||||
**kwargs
|
||||
):
|
||||
"""
|
||||
执行请求
|
||||
"""
|
||||
self._runtime_info['account_id'] = "-1"
|
||||
|
||||
url = self.prefix + path
|
||||
data = json.dumps(data)
|
||||
headers['Content-Type'] = 'application/json'
|
||||
|
||||
try:
|
||||
async with aiohttp.ClientSession() as session:
|
||||
async with session.request(
|
||||
method,
|
||||
url,
|
||||
data=data,
|
||||
params=params,
|
||||
headers=headers,
|
||||
**kwargs
|
||||
) as resp:
|
||||
self.ap.logger.debug("data: %s", data)
|
||||
self.ap.logger.debug("ret: %s", await resp.text())
|
||||
|
||||
except Exception as e:
|
||||
self.ap.logger.debug(f'上报失败: {e}')
|
||||
|
||||
async def do(
|
||||
self,
|
||||
method: str,
|
||||
path: str,
|
||||
data: dict = None,
|
||||
params: dict = None,
|
||||
headers: dict = {},
|
||||
**kwargs
|
||||
) -> asyncio.Task:
|
||||
"""执行请求"""
|
||||
asyncio.create_task(self._do(method, path, data, params, headers, **kwargs))
|
||||
|
||||
def gen_rid(
|
||||
self
|
||||
):
|
||||
"""生成一个请求 ID"""
|
||||
return str(uuid.uuid4())
|
||||
|
||||
def basic_info(
|
||||
self
|
||||
):
|
||||
"""获取基本信息"""
|
||||
basic_info = APIGroup._basic_info.copy()
|
||||
basic_info['rid'] = self.gen_rid()
|
||||
return basic_info
|
||||
|
||||
def runtime_info(
|
||||
self
|
||||
):
|
||||
"""获取运行时信息"""
|
||||
return APIGroup._runtime_info
|
||||
@@ -1,55 +0,0 @@
|
||||
from __future__ import annotations
|
||||
|
||||
from .. import apigroup
|
||||
from ....core import app
|
||||
|
||||
|
||||
class V2MainDataAPI(apigroup.APIGroup):
|
||||
"""主程序相关 数据API"""
|
||||
|
||||
def __init__(self, prefix: str, ap: app.Application):
|
||||
self.ap = ap
|
||||
super().__init__(prefix+"/main", ap)
|
||||
|
||||
async def do(self, *args, **kwargs):
|
||||
if not self.ap.system_cfg.data['report-usage']:
|
||||
return None
|
||||
return await super().do(*args, **kwargs)
|
||||
|
||||
async def post_update_record(
|
||||
self,
|
||||
spent_seconds: int,
|
||||
infer_reason: str,
|
||||
old_version: str,
|
||||
new_version: str,
|
||||
):
|
||||
"""提交更新记录"""
|
||||
return await self.do(
|
||||
"POST",
|
||||
"/update",
|
||||
data={
|
||||
"basic": self.basic_info(),
|
||||
"update_info": {
|
||||
"spent_seconds": spent_seconds,
|
||||
"infer_reason": infer_reason,
|
||||
"old_version": old_version,
|
||||
"new_version": new_version,
|
||||
}
|
||||
}
|
||||
)
|
||||
|
||||
async def post_announcement_showed(
|
||||
self,
|
||||
ids: list[int],
|
||||
):
|
||||
"""提交公告已阅"""
|
||||
return await self.do(
|
||||
"POST",
|
||||
"/announcement",
|
||||
data={
|
||||
"basic": self.basic_info(),
|
||||
"announcement_info": {
|
||||
"ids": ids,
|
||||
}
|
||||
}
|
||||
)
|
||||
@@ -1,65 +0,0 @@
|
||||
from __future__ import annotations
|
||||
|
||||
from ....core import app
|
||||
from .. import apigroup
|
||||
|
||||
|
||||
class V2PluginDataAPI(apigroup.APIGroup):
|
||||
"""插件数据相关 API"""
|
||||
|
||||
def __init__(self, prefix: str, ap: app.Application):
|
||||
self.ap = ap
|
||||
super().__init__(prefix+"/plugin", ap)
|
||||
|
||||
async def do(self, *args, **kwargs):
|
||||
if not self.ap.system_cfg.data['report-usage']:
|
||||
return None
|
||||
return await super().do(*args, **kwargs)
|
||||
|
||||
async def post_install_record(
|
||||
self,
|
||||
plugin: dict
|
||||
):
|
||||
"""提交插件安装记录"""
|
||||
return await self.do(
|
||||
"POST",
|
||||
"/install",
|
||||
data={
|
||||
"basic": self.basic_info(),
|
||||
"plugin": plugin,
|
||||
}
|
||||
)
|
||||
|
||||
async def post_remove_record(
|
||||
self,
|
||||
plugin: dict
|
||||
):
|
||||
"""提交插件卸载记录"""
|
||||
return await self.do(
|
||||
"POST",
|
||||
"/remove",
|
||||
data={
|
||||
"basic": self.basic_info(),
|
||||
"plugin": plugin,
|
||||
}
|
||||
)
|
||||
|
||||
async def post_update_record(
|
||||
self,
|
||||
plugin: dict,
|
||||
old_version: str,
|
||||
new_version: str,
|
||||
):
|
||||
"""提交插件更新记录"""
|
||||
return await self.do(
|
||||
"POST",
|
||||
"/update",
|
||||
data={
|
||||
"basic": self.basic_info(),
|
||||
"plugin": plugin,
|
||||
"update_info": {
|
||||
"old_version": old_version,
|
||||
"new_version": new_version,
|
||||
}
|
||||
}
|
||||
)
|
||||
@@ -1,88 +0,0 @@
|
||||
from __future__ import annotations
|
||||
|
||||
from .. import apigroup
|
||||
from ....core import app
|
||||
|
||||
|
||||
class V2UsageDataAPI(apigroup.APIGroup):
|
||||
"""使用量数据相关 API"""
|
||||
|
||||
def __init__(self, prefix: str, ap: app.Application):
|
||||
self.ap = ap
|
||||
super().__init__(prefix+"/usage", ap)
|
||||
|
||||
async def do(self, *args, **kwargs):
|
||||
if not self.ap.system_cfg.data['report-usage']:
|
||||
return None
|
||||
return await super().do(*args, **kwargs)
|
||||
|
||||
async def post_query_record(
|
||||
self,
|
||||
session_type: str,
|
||||
session_id: str,
|
||||
query_ability_provider: str,
|
||||
usage: int,
|
||||
model_name: str,
|
||||
response_seconds: int,
|
||||
retry_times: int,
|
||||
):
|
||||
"""提交请求记录"""
|
||||
return await self.do(
|
||||
"POST",
|
||||
"/query",
|
||||
data={
|
||||
"basic": self.basic_info(),
|
||||
"runtime": self.runtime_info(),
|
||||
"session_info": {
|
||||
"type": session_type,
|
||||
"id": session_id,
|
||||
},
|
||||
"query_info": {
|
||||
"ability_provider": query_ability_provider,
|
||||
"usage": usage,
|
||||
"model_name": model_name,
|
||||
"response_seconds": response_seconds,
|
||||
"retry_times": retry_times,
|
||||
}
|
||||
}
|
||||
)
|
||||
|
||||
async def post_event_record(
|
||||
self,
|
||||
plugins: list[dict],
|
||||
event_name: str,
|
||||
):
|
||||
"""提交事件触发记录"""
|
||||
return await self.do(
|
||||
"POST",
|
||||
"/event",
|
||||
data={
|
||||
"basic": self.basic_info(),
|
||||
"runtime": self.runtime_info(),
|
||||
"plugins": plugins,
|
||||
"event_info": {
|
||||
"name": event_name,
|
||||
}
|
||||
}
|
||||
)
|
||||
|
||||
async def post_function_record(
|
||||
self,
|
||||
plugin: dict,
|
||||
function_name: str,
|
||||
function_description: str,
|
||||
):
|
||||
"""提交内容函数使用记录"""
|
||||
return await self.do(
|
||||
"POST",
|
||||
"/function",
|
||||
data={
|
||||
"basic": self.basic_info(),
|
||||
"plugin": plugin,
|
||||
"function_info": {
|
||||
"name": function_name,
|
||||
"description": function_description,
|
||||
}
|
||||
}
|
||||
)
|
||||
|
||||
@@ -1,37 +0,0 @@
|
||||
from __future__ import annotations
|
||||
|
||||
import logging
|
||||
|
||||
from . import apigroup
|
||||
from .groups import main
|
||||
from .groups import usage
|
||||
from .groups import plugin
|
||||
from ...core import app
|
||||
|
||||
|
||||
BACKEND_URL = "https://api.qchatgpt.rockchin.top/api/v2"
|
||||
|
||||
class V2CenterAPI:
|
||||
"""中央服务器 v2 API 交互类"""
|
||||
|
||||
main: main.V2MainDataAPI = None
|
||||
"""主 API 组"""
|
||||
|
||||
usage: usage.V2UsageDataAPI = None
|
||||
"""使用量 API 组"""
|
||||
|
||||
plugin: plugin.V2PluginDataAPI = None
|
||||
"""插件 API 组"""
|
||||
|
||||
def __init__(self, ap: app.Application, basic_info: dict = None, runtime_info: dict = None):
|
||||
"""初始化"""
|
||||
|
||||
logging.debug("basic_info: %s, runtime_info: %s", basic_info, runtime_info)
|
||||
|
||||
apigroup.APIGroup._basic_info = basic_info
|
||||
apigroup.APIGroup._runtime_info = runtime_info
|
||||
|
||||
self.main = main.V2MainDataAPI(BACKEND_URL, ap)
|
||||
self.usage = usage.V2UsageDataAPI(BACKEND_URL, ap)
|
||||
self.plugin = plugin.V2PluginDataAPI(BACKEND_URL, ap)
|
||||
|
||||
@@ -1,85 +0,0 @@
|
||||
# 实例 识别码 控制
|
||||
|
||||
import os
|
||||
import uuid
|
||||
import json
|
||||
import time
|
||||
|
||||
|
||||
identifier = {
|
||||
'host_id': '',
|
||||
'instance_id': '',
|
||||
'host_create_ts': 0,
|
||||
'instance_create_ts': 0,
|
||||
}
|
||||
|
||||
HOST_ID_FILE = os.path.expanduser('~/.qchatgpt/host_id.json')
|
||||
INSTANCE_ID_FILE = 'res/instance_id.json'
|
||||
|
||||
def init():
|
||||
global identifier
|
||||
|
||||
if not os.path.exists(os.path.expanduser('~/.qchatgpt')):
|
||||
os.mkdir(os.path.expanduser('~/.qchatgpt'))
|
||||
|
||||
if not os.path.exists(HOST_ID_FILE):
|
||||
new_host_id = 'host_'+str(uuid.uuid4())
|
||||
new_host_create_ts = int(time.time())
|
||||
|
||||
with open(HOST_ID_FILE, 'w') as f:
|
||||
json.dump({
|
||||
'host_id': new_host_id,
|
||||
'host_create_ts': new_host_create_ts
|
||||
}, f)
|
||||
|
||||
identifier['host_id'] = new_host_id
|
||||
identifier['host_create_ts'] = new_host_create_ts
|
||||
else:
|
||||
loaded_host_id = ''
|
||||
loaded_host_create_ts = 0
|
||||
|
||||
with open(HOST_ID_FILE, 'r') as f:
|
||||
file_content = json.load(f)
|
||||
loaded_host_id = file_content['host_id']
|
||||
loaded_host_create_ts = file_content['host_create_ts']
|
||||
|
||||
identifier['host_id'] = loaded_host_id
|
||||
identifier['host_create_ts'] = loaded_host_create_ts
|
||||
|
||||
# 检查实例 id
|
||||
if os.path.exists(INSTANCE_ID_FILE):
|
||||
instance_id = {}
|
||||
with open(INSTANCE_ID_FILE, 'r') as f:
|
||||
instance_id = json.load(f)
|
||||
|
||||
if instance_id['host_id'] != identifier['host_id']: # 如果实例 id 不是当前主机的,删除
|
||||
os.remove(INSTANCE_ID_FILE)
|
||||
|
||||
if not os.path.exists(INSTANCE_ID_FILE):
|
||||
new_instance_id = 'instance_'+str(uuid.uuid4())
|
||||
new_instance_create_ts = int(time.time())
|
||||
|
||||
with open(INSTANCE_ID_FILE, 'w') as f:
|
||||
json.dump({
|
||||
'host_id': identifier['host_id'],
|
||||
'instance_id': new_instance_id,
|
||||
'instance_create_ts': new_instance_create_ts
|
||||
}, f)
|
||||
|
||||
identifier['instance_id'] = new_instance_id
|
||||
identifier['instance_create_ts'] = new_instance_create_ts
|
||||
else:
|
||||
loaded_instance_id = ''
|
||||
loaded_instance_create_ts = 0
|
||||
|
||||
with open(INSTANCE_ID_FILE, 'r') as f:
|
||||
file_content = json.load(f)
|
||||
loaded_instance_id = file_content['instance_id']
|
||||
loaded_instance_create_ts = file_content['instance_create_ts']
|
||||
|
||||
identifier['instance_id'] = loaded_instance_id
|
||||
identifier['instance_create_ts'] = loaded_instance_create_ts
|
||||
|
||||
def print_out():
|
||||
global identifier
|
||||
print(identifier)
|
||||
@@ -1,129 +0,0 @@
|
||||
from __future__ import annotations
|
||||
|
||||
import typing
|
||||
|
||||
from ..core import app, entities as core_entities
|
||||
from ..provider import entities as llm_entities
|
||||
from . import entities, operator, errors
|
||||
from ..config import manager as cfg_mgr
|
||||
|
||||
# 引入所有算子以便注册
|
||||
from .operators import func, plugin, default, reset, list as list_cmd, last, next, delc, resend, prompt, cmd, help, version, update
|
||||
|
||||
|
||||
class CommandManager:
|
||||
"""命令管理器
|
||||
"""
|
||||
|
||||
ap: app.Application
|
||||
|
||||
cmd_list: list[operator.CommandOperator]
|
||||
"""
|
||||
运行时命令列表,扁平存储,各个对象包含对应的子节点引用
|
||||
"""
|
||||
|
||||
def __init__(self, ap: app.Application):
|
||||
self.ap = ap
|
||||
|
||||
async def initialize(self):
|
||||
|
||||
# 设置各个类的路径
|
||||
def set_path(cls: operator.CommandOperator, ancestors: list[str]):
|
||||
cls.path = '.'.join(ancestors + [cls.name])
|
||||
for op in operator.preregistered_operators:
|
||||
if op.parent_class == cls:
|
||||
set_path(op, ancestors + [cls.name])
|
||||
|
||||
for cls in operator.preregistered_operators:
|
||||
if cls.parent_class is None:
|
||||
set_path(cls, [])
|
||||
|
||||
# 应用命令权限配置
|
||||
for cls in operator.preregistered_operators:
|
||||
if cls.path in self.ap.command_cfg.data['privilege']:
|
||||
cls.lowest_privilege = self.ap.command_cfg.data['privilege'][cls.path]
|
||||
|
||||
# 实例化所有类
|
||||
self.cmd_list = [cls(self.ap) for cls in operator.preregistered_operators]
|
||||
|
||||
# 设置所有类的子节点
|
||||
for cmd in self.cmd_list:
|
||||
cmd.children = [child for child in self.cmd_list if child.parent_class == cmd.__class__]
|
||||
|
||||
# 初始化所有类
|
||||
for cmd in self.cmd_list:
|
||||
await cmd.initialize()
|
||||
|
||||
async def _execute(
|
||||
self,
|
||||
context: entities.ExecuteContext,
|
||||
operator_list: list[operator.CommandOperator],
|
||||
operator: operator.CommandOperator = None
|
||||
) -> typing.AsyncGenerator[entities.CommandReturn, None]:
|
||||
"""执行命令
|
||||
"""
|
||||
|
||||
found = False
|
||||
if len(context.crt_params) > 0: # 查找下一个参数是否对应此节点的某个子节点名
|
||||
for oper in operator_list:
|
||||
if (context.crt_params[0] == oper.name \
|
||||
or context.crt_params[0] in oper.alias) \
|
||||
and (oper.parent_class is None or oper.parent_class == operator.__class__):
|
||||
found = True
|
||||
|
||||
context.crt_command = context.crt_params[0]
|
||||
context.crt_params = context.crt_params[1:]
|
||||
|
||||
async for ret in self._execute(
|
||||
context,
|
||||
oper.children,
|
||||
oper
|
||||
):
|
||||
yield ret
|
||||
break
|
||||
|
||||
if not found: # 如果下一个参数未在此节点的子节点中找到,则执行此节点或者报错
|
||||
if operator is None:
|
||||
yield entities.CommandReturn(
|
||||
error=errors.CommandNotFoundError(context.crt_params[0])
|
||||
)
|
||||
else:
|
||||
if operator.lowest_privilege > context.privilege:
|
||||
yield entities.CommandReturn(
|
||||
error=errors.CommandPrivilegeError(operator.name)
|
||||
)
|
||||
else:
|
||||
async for ret in operator.execute(context):
|
||||
yield ret
|
||||
|
||||
|
||||
async def execute(
|
||||
self,
|
||||
command_text: str,
|
||||
query: core_entities.Query,
|
||||
session: core_entities.Session
|
||||
) -> typing.AsyncGenerator[entities.CommandReturn, None]:
|
||||
"""执行命令
|
||||
"""
|
||||
|
||||
privilege = 1
|
||||
|
||||
if f'{query.launcher_type.value}_{query.launcher_id}' in self.ap.system_cfg.data['admin-sessions']:
|
||||
privilege = 2
|
||||
|
||||
ctx = entities.ExecuteContext(
|
||||
query=query,
|
||||
session=session,
|
||||
command_text=command_text,
|
||||
command='',
|
||||
crt_command='',
|
||||
params=command_text.split(' '),
|
||||
crt_params=command_text.split(' '),
|
||||
privilege=privilege
|
||||
)
|
||||
|
||||
async for ret in self._execute(
|
||||
ctx,
|
||||
self.cmd_list
|
||||
):
|
||||
yield ret
|
||||
@@ -1,71 +0,0 @@
|
||||
from __future__ import annotations
|
||||
|
||||
import typing
|
||||
|
||||
import pydantic
|
||||
import mirai
|
||||
|
||||
from ..core import app, entities as core_entities
|
||||
from . import errors, operator
|
||||
|
||||
|
||||
class CommandReturn(pydantic.BaseModel):
|
||||
"""命令返回值
|
||||
"""
|
||||
|
||||
text: typing.Optional[str]
|
||||
"""文本
|
||||
"""
|
||||
|
||||
image: typing.Optional[mirai.Image]
|
||||
|
||||
error: typing.Optional[errors.CommandError]= None
|
||||
"""错误
|
||||
"""
|
||||
|
||||
class Config:
|
||||
arbitrary_types_allowed = True
|
||||
|
||||
|
||||
class ExecuteContext(pydantic.BaseModel):
|
||||
"""单次命令执行上下文
|
||||
"""
|
||||
|
||||
query: core_entities.Query
|
||||
"""本次消息的请求对象"""
|
||||
|
||||
session: core_entities.Session
|
||||
"""本次消息所属的会话对象"""
|
||||
|
||||
command_text: str
|
||||
"""命令完整文本"""
|
||||
|
||||
command: str
|
||||
"""命令名称"""
|
||||
|
||||
crt_command: str
|
||||
"""当前命令
|
||||
|
||||
多级命令中crt_command为当前命令,command为根命令。
|
||||
例如:!plugin on Webwlkr
|
||||
处理到plugin时,command为plugin,crt_command为plugin
|
||||
处理到on时,command为plugin,crt_command为on
|
||||
"""
|
||||
|
||||
params: list[str]
|
||||
"""命令参数
|
||||
|
||||
整个命令以空格分割后的参数列表
|
||||
"""
|
||||
|
||||
crt_params: list[str]
|
||||
"""当前命令参数
|
||||
|
||||
多级命令中crt_params为当前命令参数,params为根命令参数。
|
||||
例如:!plugin on Webwlkr
|
||||
处理到plugin时,params为['on', 'Webwlkr'],crt_params为['on', 'Webwlkr']
|
||||
处理到on时,params为['on', 'Webwlkr'],crt_params为['Webwlkr']
|
||||
"""
|
||||
|
||||
privilege: int
|
||||
"""发起人权限"""
|
||||
@@ -1,33 +0,0 @@
|
||||
|
||||
|
||||
class CommandError(Exception):
|
||||
|
||||
def __init__(self, message: str = None):
|
||||
self.message = message
|
||||
|
||||
def __str__(self):
|
||||
return self.message
|
||||
|
||||
|
||||
class CommandNotFoundError(CommandError):
|
||||
|
||||
def __init__(self, message: str = None):
|
||||
super().__init__("未知命令: "+message)
|
||||
|
||||
|
||||
class CommandPrivilegeError(CommandError):
|
||||
|
||||
def __init__(self, message: str = None):
|
||||
super().__init__("权限不足: "+message)
|
||||
|
||||
|
||||
class ParamNotEnoughError(CommandError):
|
||||
|
||||
def __init__(self, message: str = None):
|
||||
super().__init__("参数不足: "+message)
|
||||
|
||||
|
||||
class CommandOperationError(CommandError):
|
||||
|
||||
def __init__(self, message: str = None):
|
||||
super().__init__("操作失败: "+message)
|
||||
@@ -1,50 +0,0 @@
|
||||
from __future__ import annotations
|
||||
|
||||
import typing
|
||||
|
||||
from .. import operator, entities, cmdmgr, errors
|
||||
|
||||
|
||||
@operator.operator_class(
|
||||
name="cmd",
|
||||
help='显示命令列表',
|
||||
usage='!cmd\n!cmd <命令名称>'
|
||||
)
|
||||
class CmdOperator(operator.CommandOperator):
|
||||
"""命令列表
|
||||
"""
|
||||
|
||||
async def execute(
|
||||
self,
|
||||
context: entities.ExecuteContext
|
||||
) -> typing.AsyncGenerator[entities.CommandReturn, None]:
|
||||
"""执行
|
||||
"""
|
||||
if len(context.crt_params) == 0:
|
||||
reply_str = "当前所有命令: \n\n"
|
||||
|
||||
for cmd in self.ap.cmd_mgr.cmd_list:
|
||||
if cmd.parent_class is None:
|
||||
reply_str += f"{cmd.name}: {cmd.help}\n"
|
||||
|
||||
reply_str += "\n使用 !cmd <命令名称> 查看命令的详细帮助"
|
||||
|
||||
yield entities.CommandReturn(text=reply_str.strip())
|
||||
|
||||
else:
|
||||
cmd_name = context.crt_params[0]
|
||||
|
||||
cmd = None
|
||||
|
||||
for _cmd in self.ap.cmd_mgr.cmd_list:
|
||||
if (cmd_name == _cmd.name or cmd_name in _cmd.alias) and (_cmd.parent_class is None):
|
||||
cmd = _cmd
|
||||
break
|
||||
|
||||
if cmd is None:
|
||||
yield entities.CommandReturn(error=errors.CommandNotFoundError(cmd_name))
|
||||
else:
|
||||
reply_str = f"{cmd.name}: {cmd.help}\n\n"
|
||||
reply_str += f"使用方法: \n{cmd.usage}"
|
||||
|
||||
yield entities.CommandReturn(text=reply_str.strip())
|
||||
@@ -1,62 +0,0 @@
|
||||
from __future__ import annotations
|
||||
|
||||
import typing
|
||||
import traceback
|
||||
|
||||
from .. import operator, entities, cmdmgr, errors
|
||||
|
||||
|
||||
@operator.operator_class(
|
||||
name="default",
|
||||
help="操作情景预设",
|
||||
usage='!default\n!default set <指定情景预设为默认>'
|
||||
)
|
||||
class DefaultOperator(operator.CommandOperator):
|
||||
|
||||
async def execute(
|
||||
self,
|
||||
context: entities.ExecuteContext
|
||||
) -> typing.AsyncGenerator[entities.CommandReturn, None]:
|
||||
|
||||
reply_str = "当前所有情景预设: \n\n"
|
||||
|
||||
for prompt in self.ap.prompt_mgr.get_all_prompts():
|
||||
|
||||
content = ""
|
||||
for msg in prompt.messages:
|
||||
content += f" {msg.role}: {msg.content}"
|
||||
|
||||
reply_str += f"名称: {prompt.name}\n内容: \n{content}\n\n"
|
||||
|
||||
reply_str += f"当前会话使用的是: {context.session.use_prompt_name}"
|
||||
|
||||
yield entities.CommandReturn(text=reply_str.strip())
|
||||
|
||||
|
||||
@operator.operator_class(
|
||||
name="set",
|
||||
help="设置当前会话默认情景预设",
|
||||
parent_class=DefaultOperator
|
||||
)
|
||||
class DefaultSetOperator(operator.CommandOperator):
|
||||
|
||||
async def execute(
|
||||
self,
|
||||
context: entities.ExecuteContext
|
||||
) -> typing.AsyncGenerator[entities.CommandReturn, None]:
|
||||
|
||||
if len(context.crt_params) == 0:
|
||||
yield entities.CommandReturn(error=errors.ParamNotEnoughError('请提供情景预设名称'))
|
||||
else:
|
||||
prompt_name = context.crt_params[0]
|
||||
|
||||
try:
|
||||
prompt = await self.ap.prompt_mgr.get_prompt_by_prefix(prompt_name)
|
||||
if prompt is None:
|
||||
yield entities.CommandReturn(error=errors.CommandError("设置当前会话默认情景预设失败: 未找到情景预设 {}".format(prompt_name)))
|
||||
else:
|
||||
context.session.use_prompt_name = prompt.name
|
||||
yield entities.CommandReturn(text=f"已设置当前会话默认情景预设为 {prompt_name}, !reset 后生效")
|
||||
except Exception as e:
|
||||
traceback.print_exc()
|
||||
yield entities.CommandReturn(error=errors.CommandError("设置当前会话默认情景预设失败: "+str(e)))
|
||||
@@ -1,62 +0,0 @@
|
||||
from __future__ import annotations
|
||||
|
||||
import typing
|
||||
import datetime
|
||||
|
||||
from .. import operator, entities, cmdmgr, errors
|
||||
|
||||
|
||||
@operator.operator_class(
|
||||
name="del",
|
||||
help="删除当前会话的历史记录",
|
||||
usage='!del <序号>\n!del all'
|
||||
)
|
||||
class DelOperator(operator.CommandOperator):
|
||||
|
||||
async def execute(
|
||||
self,
|
||||
context: entities.ExecuteContext
|
||||
) -> typing.AsyncGenerator[entities.CommandReturn, None]:
|
||||
|
||||
if context.session.conversations:
|
||||
delete_index = 0
|
||||
if len(context.crt_params) > 0:
|
||||
try:
|
||||
delete_index = int(context.crt_params[0])
|
||||
except:
|
||||
yield entities.CommandReturn(error=errors.CommandOperationError('索引必须是整数'))
|
||||
return
|
||||
|
||||
if delete_index < 0 or delete_index >= len(context.session.conversations):
|
||||
yield entities.CommandReturn(error=errors.CommandOperationError('索引超出范围'))
|
||||
return
|
||||
|
||||
# 倒序
|
||||
to_delete_index = len(context.session.conversations)-1-delete_index
|
||||
|
||||
if context.session.conversations[to_delete_index] == context.session.using_conversation:
|
||||
context.session.using_conversation = None
|
||||
|
||||
del context.session.conversations[to_delete_index]
|
||||
|
||||
yield entities.CommandReturn(text=f"已删除对话: {delete_index}")
|
||||
else:
|
||||
yield entities.CommandReturn(error=errors.CommandOperationError('当前没有对话'))
|
||||
|
||||
|
||||
@operator.operator_class(
|
||||
name="all",
|
||||
help="删除此会话的所有历史记录",
|
||||
parent_class=DelOperator
|
||||
)
|
||||
class DelAllOperator(operator.CommandOperator):
|
||||
|
||||
async def execute(
|
||||
self,
|
||||
context: entities.ExecuteContext
|
||||
) -> typing.AsyncGenerator[entities.CommandReturn, None]:
|
||||
|
||||
context.session.conversations = []
|
||||
context.session.using_conversation = None
|
||||
|
||||
yield entities.CommandReturn(text="已删除所有对话")
|
||||
@@ -1,27 +0,0 @@
|
||||
from __future__ import annotations
|
||||
from typing import AsyncGenerator
|
||||
|
||||
from .. import operator, entities, cmdmgr
|
||||
|
||||
|
||||
@operator.operator_class(name="func", help="查看所有已注册的内容函数", usage='!func')
|
||||
class FuncOperator(operator.CommandOperator):
|
||||
async def execute(
|
||||
self, context: entities.ExecuteContext
|
||||
) -> AsyncGenerator[entities.CommandReturn, None]:
|
||||
reply_str = "当前已加载的内容函数: \n\n"
|
||||
|
||||
index = 1
|
||||
|
||||
all_functions = await self.ap.tool_mgr.get_all_functions()
|
||||
|
||||
for func in all_functions:
|
||||
reply_str += "{}. {}{}:\n{}\n\n".format(
|
||||
index,
|
||||
("(已禁用) " if not func.enable else ""),
|
||||
func.name,
|
||||
func.description,
|
||||
)
|
||||
index += 1
|
||||
|
||||
yield entities.CommandReturn(text=reply_str)
|
||||
@@ -1,23 +0,0 @@
|
||||
from __future__ import annotations
|
||||
|
||||
import typing
|
||||
|
||||
from .. import operator, entities, cmdmgr, errors
|
||||
|
||||
|
||||
@operator.operator_class(
|
||||
name='help',
|
||||
help='显示帮助',
|
||||
usage='!help\n!help <命令名称>'
|
||||
)
|
||||
class HelpOperator(operator.CommandOperator):
|
||||
|
||||
async def execute(
|
||||
self,
|
||||
context: entities.ExecuteContext
|
||||
) -> typing.AsyncGenerator[entities.CommandReturn, None]:
|
||||
help = self.ap.system_cfg.data['help-message']
|
||||
|
||||
help += '\n发送命令 !cmd 可查看命令列表'
|
||||
|
||||
yield entities.CommandReturn(text=help)
|
||||
@@ -1,36 +0,0 @@
|
||||
from __future__ import annotations
|
||||
|
||||
import typing
|
||||
import datetime
|
||||
|
||||
|
||||
from .. import operator, entities, cmdmgr, errors
|
||||
|
||||
|
||||
@operator.operator_class(
|
||||
name="last",
|
||||
help="切换到前一个对话",
|
||||
usage='!last'
|
||||
)
|
||||
class LastOperator(operator.CommandOperator):
|
||||
|
||||
async def execute(
|
||||
self,
|
||||
context: entities.ExecuteContext
|
||||
) -> typing.AsyncGenerator[entities.CommandReturn, None]:
|
||||
|
||||
if context.session.conversations:
|
||||
# 找到当前会话的上一个会话
|
||||
for index in range(len(context.session.conversations)-1, -1, -1):
|
||||
if context.session.conversations[index] == context.session.using_conversation:
|
||||
if index == 0:
|
||||
yield entities.CommandReturn(error=errors.CommandOperationError('已经是第一个对话了'))
|
||||
return
|
||||
else:
|
||||
context.session.using_conversation = context.session.conversations[index-1]
|
||||
time_str = context.session.using_conversation.create_time.strftime("%Y-%m-%d %H:%M:%S")
|
||||
|
||||
yield entities.CommandReturn(text=f"已切换到上一个对话: {index} {time_str}: {context.session.using_conversation.messages[0].content}")
|
||||
return
|
||||
else:
|
||||
yield entities.CommandReturn(error=errors.CommandOperationError('当前没有对话'))
|
||||
@@ -1,56 +0,0 @@
|
||||
from __future__ import annotations
|
||||
|
||||
import typing
|
||||
import datetime
|
||||
|
||||
from .. import operator, entities, cmdmgr, errors
|
||||
|
||||
|
||||
@operator.operator_class(
|
||||
name="list",
|
||||
help="列出此会话中的所有历史对话",
|
||||
usage='!list\n!list <页码>'
|
||||
)
|
||||
class ListOperator(operator.CommandOperator):
|
||||
|
||||
async def execute(
|
||||
self,
|
||||
context: entities.ExecuteContext
|
||||
) -> typing.AsyncGenerator[entities.CommandReturn, None]:
|
||||
|
||||
page = 0
|
||||
|
||||
if len(context.crt_params) > 0:
|
||||
try:
|
||||
page = int(context.crt_params[0]-1)
|
||||
except:
|
||||
yield entities.CommandReturn(error=errors.CommandOperationError('页码应为整数'))
|
||||
return
|
||||
|
||||
record_per_page = 10
|
||||
|
||||
content = ''
|
||||
|
||||
index = 0
|
||||
|
||||
using_conv_index = 0
|
||||
|
||||
for conv in context.session.conversations[::-1]:
|
||||
time_str = conv.create_time.strftime("%Y-%m-%d %H:%M:%S")
|
||||
|
||||
if conv == context.session.using_conversation:
|
||||
using_conv_index = index
|
||||
|
||||
if index >= page * record_per_page and index < (page + 1) * record_per_page:
|
||||
content += f"{index} {time_str}: {conv.messages[0].content if len(conv.messages) > 0 else '无内容'}\n"
|
||||
index += 1
|
||||
|
||||
if content == '':
|
||||
content = '无'
|
||||
else:
|
||||
if context.session.using_conversation is None:
|
||||
content += "\n当前处于新会话"
|
||||
else:
|
||||
content += f"\n当前会话: {using_conv_index} {context.session.using_conversation.create_time.strftime('%Y-%m-%d %H:%M:%S')}: {context.session.using_conversation.messages[0].content if len(context.session.using_conversation.messages) > 0 else '无内容'}"
|
||||
|
||||
yield entities.CommandReturn(text=f"第 {page + 1} 页 (时间倒序):\n{content}")
|
||||
@@ -1,35 +0,0 @@
|
||||
from __future__ import annotations
|
||||
|
||||
import typing
|
||||
import datetime
|
||||
|
||||
from .. import operator, entities, cmdmgr, errors
|
||||
|
||||
|
||||
@operator.operator_class(
|
||||
name="next",
|
||||
help="切换到后一个对话",
|
||||
usage='!next'
|
||||
)
|
||||
class NextOperator(operator.CommandOperator):
|
||||
|
||||
async def execute(
|
||||
self,
|
||||
context: entities.ExecuteContext
|
||||
) -> typing.AsyncGenerator[entities.CommandReturn, None]:
|
||||
|
||||
if context.session.conversations:
|
||||
# 找到当前会话的下一个会话
|
||||
for index in range(len(context.session.conversations)):
|
||||
if context.session.conversations[index] == context.session.using_conversation:
|
||||
if index == len(context.session.conversations)-1:
|
||||
yield entities.CommandReturn(error=errors.CommandOperationError('已经是最后一个对话了'))
|
||||
return
|
||||
else:
|
||||
context.session.using_conversation = context.session.conversations[index+1]
|
||||
time_str = context.session.using_conversation.create_time.strftime("%Y-%m-%d %H:%M:%S")
|
||||
|
||||
yield entities.CommandReturn(text=f"已切换到后一个对话: {index} {time_str}: {context.session.using_conversation.messages[0].content}")
|
||||
return
|
||||
else:
|
||||
yield entities.CommandReturn(error=errors.CommandOperationError('当前没有对话'))
|
||||
@@ -1,237 +0,0 @@
|
||||
from __future__ import annotations
|
||||
import typing
|
||||
import traceback
|
||||
|
||||
from .. import operator, entities, cmdmgr, errors
|
||||
from ...core import app
|
||||
|
||||
|
||||
@operator.operator_class(
|
||||
name="plugin",
|
||||
help="插件操作",
|
||||
usage="!plugin\n!plugin get <插件仓库地址>\n!plugin update\n!plugin del <插件名>\n!plugin on <插件名>\n!plugin off <插件名>"
|
||||
)
|
||||
class PluginOperator(operator.CommandOperator):
|
||||
|
||||
async def execute(
|
||||
self,
|
||||
context: entities.ExecuteContext
|
||||
) -> typing.AsyncGenerator[entities.CommandReturn, None]:
|
||||
|
||||
plugin_list = self.ap.plugin_mgr.plugins
|
||||
reply_str = "所有插件({}):\n".format(len(plugin_list))
|
||||
idx = 0
|
||||
for plugin in plugin_list:
|
||||
reply_str += "\n#{} {} {}\n{}\nv{}\n作者: {}\n"\
|
||||
.format((idx+1), plugin.plugin_name,
|
||||
"[已禁用]" if not plugin.enabled else "",
|
||||
plugin.plugin_description,
|
||||
plugin.plugin_version, plugin.plugin_author)
|
||||
|
||||
# TODO 从元数据调远程地址
|
||||
|
||||
idx += 1
|
||||
|
||||
yield entities.CommandReturn(text=reply_str)
|
||||
|
||||
|
||||
@operator.operator_class(
|
||||
name="get",
|
||||
help="安装插件",
|
||||
privilege=2,
|
||||
parent_class=PluginOperator
|
||||
)
|
||||
class PluginGetOperator(operator.CommandOperator):
|
||||
|
||||
async def execute(
|
||||
self,
|
||||
context: entities.ExecuteContext
|
||||
) -> typing.AsyncGenerator[entities.CommandReturn, None]:
|
||||
|
||||
if len(context.crt_params) == 0:
|
||||
yield entities.CommandReturn(error=errors.ParamNotEnoughError('请提供插件仓库地址'))
|
||||
else:
|
||||
repo = context.crt_params[0]
|
||||
|
||||
yield entities.CommandReturn(text="正在安装插件...")
|
||||
|
||||
try:
|
||||
await self.ap.plugin_mgr.install_plugin(repo)
|
||||
yield entities.CommandReturn(text="插件安装成功,请重启程序以加载插件")
|
||||
except Exception as e:
|
||||
traceback.print_exc()
|
||||
yield entities.CommandReturn(error=errors.CommandError("插件安装失败: "+str(e)))
|
||||
|
||||
|
||||
@operator.operator_class(
|
||||
name="update",
|
||||
help="更新插件",
|
||||
privilege=2,
|
||||
parent_class=PluginOperator
|
||||
)
|
||||
class PluginUpdateOperator(operator.CommandOperator):
|
||||
|
||||
async def execute(
|
||||
self,
|
||||
context: entities.ExecuteContext
|
||||
) -> typing.AsyncGenerator[entities.CommandReturn, None]:
|
||||
|
||||
if len(context.crt_params) == 0:
|
||||
yield entities.CommandReturn(error=errors.ParamNotEnoughError('请提供插件名称'))
|
||||
else:
|
||||
plugin_name = context.crt_params[0]
|
||||
|
||||
try:
|
||||
plugin_container = self.ap.plugin_mgr.get_plugin_by_name(plugin_name)
|
||||
|
||||
if plugin_container is not None:
|
||||
yield entities.CommandReturn(text="正在更新插件...")
|
||||
await self.ap.plugin_mgr.update_plugin(plugin_name)
|
||||
yield entities.CommandReturn(text="插件更新成功,请重启程序以加载插件")
|
||||
else:
|
||||
yield entities.CommandReturn(error=errors.CommandError("插件更新失败: 未找到插件"))
|
||||
except Exception as e:
|
||||
traceback.print_exc()
|
||||
yield entities.CommandReturn(error=errors.CommandError("插件更新失败: "+str(e)))
|
||||
|
||||
@operator.operator_class(
|
||||
name="all",
|
||||
help="更新所有插件",
|
||||
privilege=2,
|
||||
parent_class=PluginUpdateOperator
|
||||
)
|
||||
class PluginUpdateAllOperator(operator.CommandOperator):
|
||||
|
||||
async def execute(
|
||||
self,
|
||||
context: entities.ExecuteContext
|
||||
) -> typing.AsyncGenerator[entities.CommandReturn, None]:
|
||||
|
||||
try:
|
||||
plugins = [
|
||||
p.plugin_name
|
||||
for p in self.ap.plugin_mgr.plugins
|
||||
]
|
||||
|
||||
if plugins:
|
||||
yield entities.CommandReturn(text="正在更新插件...")
|
||||
updated = []
|
||||
try:
|
||||
for plugin_name in plugins:
|
||||
await self.ap.plugin_mgr.update_plugin(plugin_name)
|
||||
updated.append(plugin_name)
|
||||
except Exception as e:
|
||||
traceback.print_exc()
|
||||
yield entities.CommandReturn(error=errors.CommandError("插件更新失败: "+str(e)))
|
||||
yield entities.CommandReturn(text="已更新插件: {}".format(", ".join(updated)))
|
||||
else:
|
||||
yield entities.CommandReturn(text="没有可更新的插件")
|
||||
except Exception as e:
|
||||
traceback.print_exc()
|
||||
yield entities.CommandReturn(error=errors.CommandError("插件更新失败: "+str(e)))
|
||||
|
||||
|
||||
@operator.operator_class(
|
||||
name="del",
|
||||
help="删除插件",
|
||||
privilege=2,
|
||||
parent_class=PluginOperator
|
||||
)
|
||||
class PluginDelOperator(operator.CommandOperator):
|
||||
|
||||
async def execute(
|
||||
self,
|
||||
context: entities.ExecuteContext
|
||||
) -> typing.AsyncGenerator[entities.CommandReturn, None]:
|
||||
|
||||
if len(context.crt_params) == 0:
|
||||
yield entities.CommandReturn(error=errors.ParamNotEnoughError('请提供插件名称'))
|
||||
else:
|
||||
plugin_name = context.crt_params[0]
|
||||
|
||||
try:
|
||||
plugin_container = self.ap.plugin_mgr.get_plugin_by_name(plugin_name)
|
||||
|
||||
if plugin_container is not None:
|
||||
yield entities.CommandReturn(text="正在删除插件...")
|
||||
await self.ap.plugin_mgr.uninstall_plugin(plugin_name)
|
||||
yield entities.CommandReturn(text="插件删除成功,请重启程序以加载插件")
|
||||
else:
|
||||
yield entities.CommandReturn(error=errors.CommandError("插件删除失败: 未找到插件"))
|
||||
except Exception as e:
|
||||
traceback.print_exc()
|
||||
yield entities.CommandReturn(error=errors.CommandError("插件删除失败: "+str(e)))
|
||||
|
||||
|
||||
async def update_plugin_status(plugin_name: str, new_status: bool, ap: app.Application):
|
||||
if ap.plugin_mgr.get_plugin_by_name(plugin_name) is not None:
|
||||
for plugin in ap.plugin_mgr.plugins:
|
||||
if plugin.plugin_name == plugin_name:
|
||||
plugin.enabled = new_status
|
||||
|
||||
for func in plugin.content_functions:
|
||||
func.enable = new_status
|
||||
|
||||
await ap.plugin_mgr.setting.dump_container_setting(ap.plugin_mgr.plugins)
|
||||
|
||||
break
|
||||
|
||||
return True
|
||||
else:
|
||||
return False
|
||||
|
||||
|
||||
@operator.operator_class(
|
||||
name="on",
|
||||
help="启用插件",
|
||||
privilege=2,
|
||||
parent_class=PluginOperator
|
||||
)
|
||||
class PluginEnableOperator(operator.CommandOperator):
|
||||
|
||||
async def execute(
|
||||
self,
|
||||
context: entities.ExecuteContext
|
||||
) -> typing.AsyncGenerator[entities.CommandReturn, None]:
|
||||
|
||||
if len(context.crt_params) == 0:
|
||||
yield entities.CommandReturn(error=errors.ParamNotEnoughError('请提供插件名称'))
|
||||
else:
|
||||
plugin_name = context.crt_params[0]
|
||||
|
||||
try:
|
||||
if await update_plugin_status(plugin_name, True, self.ap):
|
||||
yield entities.CommandReturn(text="已启用插件: {}".format(plugin_name))
|
||||
else:
|
||||
yield entities.CommandReturn(error=errors.CommandError("插件状态修改失败: 未找到插件 {}".format(plugin_name)))
|
||||
except Exception as e:
|
||||
traceback.print_exc()
|
||||
yield entities.CommandReturn(error=errors.CommandError("插件状态修改失败: "+str(e)))
|
||||
|
||||
|
||||
@operator.operator_class(
|
||||
name="off",
|
||||
help="禁用插件",
|
||||
privilege=2,
|
||||
parent_class=PluginOperator
|
||||
)
|
||||
class PluginDisableOperator(operator.CommandOperator):
|
||||
|
||||
async def execute(
|
||||
self,
|
||||
context: entities.ExecuteContext
|
||||
) -> typing.AsyncGenerator[entities.CommandReturn, None]:
|
||||
|
||||
if len(context.crt_params) == 0:
|
||||
yield entities.CommandReturn(error=errors.ParamNotEnoughError('请提供插件名称'))
|
||||
else:
|
||||
plugin_name = context.crt_params[0]
|
||||
|
||||
try:
|
||||
if await update_plugin_status(plugin_name, False, self.ap):
|
||||
yield entities.CommandReturn(text="已禁用插件: {}".format(plugin_name))
|
||||
else:
|
||||
yield entities.CommandReturn(error=errors.CommandError("插件状态修改失败: 未找到插件 {}".format(plugin_name)))
|
||||
except Exception as e:
|
||||
traceback.print_exc()
|
||||
yield entities.CommandReturn(error=errors.CommandError("插件状态修改失败: "+str(e)))
|
||||
@@ -1,29 +0,0 @@
|
||||
from __future__ import annotations
|
||||
|
||||
import typing
|
||||
|
||||
from .. import operator, entities, cmdmgr, errors
|
||||
|
||||
|
||||
@operator.operator_class(
|
||||
name="prompt",
|
||||
help="查看当前对话的前文",
|
||||
usage='!prompt'
|
||||
)
|
||||
class PromptOperator(operator.CommandOperator):
|
||||
|
||||
async def execute(
|
||||
self,
|
||||
context: entities.ExecuteContext
|
||||
) -> typing.AsyncGenerator[entities.CommandReturn, None]:
|
||||
"""执行
|
||||
"""
|
||||
if context.session.using_conversation is None:
|
||||
yield entities.CommandReturn(error=errors.CommandOperationError('当前没有对话'))
|
||||
else:
|
||||
reply_str = '当前对话所有内容:\n\n'
|
||||
|
||||
for msg in context.session.using_conversation.messages:
|
||||
reply_str += f"{msg.role}: {msg.content}\n"
|
||||
|
||||
yield entities.CommandReturn(text=reply_str)
|
||||
@@ -1,34 +0,0 @@
|
||||
from __future__ import annotations
|
||||
|
||||
import typing
|
||||
|
||||
from .. import operator, entities, cmdmgr, errors
|
||||
|
||||
|
||||
@operator.operator_class(
|
||||
name="resend",
|
||||
help="重发当前会话的最后一条消息",
|
||||
usage='!resend'
|
||||
)
|
||||
class ResendOperator(operator.CommandOperator):
|
||||
|
||||
async def execute(
|
||||
self,
|
||||
context: entities.ExecuteContext
|
||||
) -> typing.AsyncGenerator[entities.CommandReturn, None]:
|
||||
# 回滚到最后一条用户message前
|
||||
if context.session.using_conversation is None:
|
||||
yield entities.CommandReturn(error=errors.CommandError("当前没有对话"))
|
||||
else:
|
||||
conv_msg = context.session.using_conversation.messages
|
||||
|
||||
# 倒序一直删到最后一条用户message
|
||||
while len(conv_msg) > 0 and conv_msg[-1].role != 'user':
|
||||
conv_msg.pop()
|
||||
|
||||
if len(conv_msg) > 0:
|
||||
# 删除最后一条用户message
|
||||
conv_msg.pop()
|
||||
|
||||
# 不重发了,提示用户已删除就行了
|
||||
yield entities.CommandReturn(text="已删除最后一次请求记录")
|
||||
@@ -1,23 +0,0 @@
|
||||
from __future__ import annotations
|
||||
|
||||
import typing
|
||||
|
||||
from .. import operator, entities, cmdmgr, errors
|
||||
|
||||
|
||||
@operator.operator_class(
|
||||
name="reset",
|
||||
help="重置当前会话",
|
||||
usage='!reset'
|
||||
)
|
||||
class ResetOperator(operator.CommandOperator):
|
||||
|
||||
async def execute(
|
||||
self,
|
||||
context: entities.ExecuteContext
|
||||
) -> typing.AsyncGenerator[entities.CommandReturn, None]:
|
||||
"""执行
|
||||
"""
|
||||
context.session.using_conversation = None
|
||||
|
||||
yield entities.CommandReturn(text="已重置当前会话")
|
||||
@@ -1,30 +0,0 @@
|
||||
from __future__ import annotations
|
||||
|
||||
import typing
|
||||
import traceback
|
||||
|
||||
from .. import operator, entities, cmdmgr, errors
|
||||
|
||||
|
||||
@operator.operator_class(
|
||||
name="update",
|
||||
help="更新程序",
|
||||
usage='!update',
|
||||
privilege=2
|
||||
)
|
||||
class UpdateCommand(operator.CommandOperator):
|
||||
|
||||
async def execute(
|
||||
self,
|
||||
context: entities.ExecuteContext
|
||||
) -> typing.AsyncGenerator[entities.CommandReturn, None]:
|
||||
|
||||
try:
|
||||
yield entities.CommandReturn(text="正在进行更新...")
|
||||
if await self.ap.ver_mgr.update_all():
|
||||
yield entities.CommandReturn(text="更新完成,请重启程序以应用更新")
|
||||
else:
|
||||
yield entities.CommandReturn(text="当前已是最新版本")
|
||||
except Exception as e:
|
||||
traceback.print_exc()
|
||||
yield entities.CommandReturn(error=errors.CommandError("更新失败: "+str(e)))
|
||||
@@ -1,27 +0,0 @@
|
||||
from __future__ import annotations
|
||||
|
||||
import typing
|
||||
|
||||
from .. import operator, cmdmgr, entities, errors
|
||||
|
||||
|
||||
@operator.operator_class(
|
||||
name="version",
|
||||
help="显示版本信息",
|
||||
usage='!version'
|
||||
)
|
||||
class VersionCommand(operator.CommandOperator):
|
||||
|
||||
async def execute(
|
||||
self,
|
||||
context: entities.ExecuteContext
|
||||
) -> typing.AsyncGenerator[entities.CommandReturn, None]:
|
||||
reply_str = f"当前版本: \n{self.ap.ver_mgr.get_current_version()}"
|
||||
|
||||
try:
|
||||
if await self.ap.ver_mgr.is_new_version_available():
|
||||
reply_str += "\n\n有新版本可用, 使用 !update 更新"
|
||||
except:
|
||||
pass
|
||||
|
||||
yield entities.CommandReturn(text=reply_str.strip())
|
||||
@@ -1,49 +0,0 @@
|
||||
import os
|
||||
import shutil
|
||||
import json
|
||||
|
||||
from .. import model as file_model
|
||||
|
||||
|
||||
class JSONConfigFile(file_model.ConfigFile):
|
||||
"""JSON配置文件"""
|
||||
|
||||
def __init__(
|
||||
self, config_file_name: str, template_file_name: str = None, template_data: dict = None
|
||||
) -> None:
|
||||
self.config_file_name = config_file_name
|
||||
self.template_file_name = template_file_name
|
||||
self.template_data = template_data
|
||||
|
||||
def exists(self) -> bool:
|
||||
return os.path.exists(self.config_file_name)
|
||||
|
||||
async def create(self):
|
||||
shutil.copyfile(self.template_file_name, self.config_file_name)
|
||||
|
||||
async def load(self) -> dict:
|
||||
|
||||
if not self.exists():
|
||||
await self.create()
|
||||
|
||||
if self.template_file_name is not None:
|
||||
with open(self.config_file_name, "r", encoding="utf-8") as f:
|
||||
cfg = json.load(f)
|
||||
|
||||
# 从模板文件中进行补全
|
||||
with open(self.template_file_name, "r", encoding="utf-8") as f:
|
||||
self.template_data = json.load(f)
|
||||
|
||||
for key in self.template_data:
|
||||
if key not in cfg:
|
||||
cfg[key] = self.template_data[key]
|
||||
|
||||
return cfg
|
||||
|
||||
async def save(self, cfg: dict):
|
||||
with open(self.config_file_name, "w", encoding="utf-8") as f:
|
||||
json.dump(cfg, f, indent=4, ensure_ascii=False)
|
||||
|
||||
def save_sync(self, cfg: dict):
|
||||
with open(self.config_file_name, "w", encoding="utf-8") as f:
|
||||
json.dump(cfg, f, indent=4, ensure_ascii=False)
|
||||
@@ -1,57 +0,0 @@
|
||||
from __future__ import annotations
|
||||
|
||||
from . import model as file_model
|
||||
from .impls import pymodule, json as json_file
|
||||
|
||||
|
||||
managers: ConfigManager = []
|
||||
|
||||
|
||||
class ConfigManager:
|
||||
"""配置文件管理器"""
|
||||
|
||||
file: file_model.ConfigFile = None
|
||||
"""配置文件实例"""
|
||||
|
||||
data: dict = None
|
||||
"""配置数据"""
|
||||
|
||||
def __init__(self, cfg_file: file_model.ConfigFile) -> None:
|
||||
self.file = cfg_file
|
||||
self.data = {}
|
||||
|
||||
async def load_config(self):
|
||||
self.data = await self.file.load()
|
||||
|
||||
async def dump_config(self):
|
||||
await self.file.save(self.data)
|
||||
|
||||
def dump_config_sync(self):
|
||||
self.file.save_sync(self.data)
|
||||
|
||||
|
||||
async def load_python_module_config(config_name: str, template_name: str) -> ConfigManager:
|
||||
"""加载Python模块配置文件"""
|
||||
cfg_inst = pymodule.PythonModuleConfigFile(
|
||||
config_name,
|
||||
template_name
|
||||
)
|
||||
|
||||
cfg_mgr = ConfigManager(cfg_inst)
|
||||
await cfg_mgr.load_config()
|
||||
|
||||
return cfg_mgr
|
||||
|
||||
|
||||
async def load_json_config(config_name: str, template_name: str=None, template_data: dict=None) -> ConfigManager:
|
||||
"""加载JSON配置文件"""
|
||||
cfg_inst = json_file.JSONConfigFile(
|
||||
config_name,
|
||||
template_name,
|
||||
template_data
|
||||
)
|
||||
|
||||
cfg_mgr = ConfigManager(cfg_inst)
|
||||
await cfg_mgr.load_config()
|
||||
|
||||
return cfg_mgr
|
||||
@@ -1,26 +0,0 @@
|
||||
from __future__ import annotations
|
||||
|
||||
import os
|
||||
import sys
|
||||
|
||||
from .. import migration
|
||||
|
||||
|
||||
@migration.migration_class("sensitive-word-migration", 1)
|
||||
class SensitiveWordMigration(migration.Migration):
|
||||
"""敏感词迁移
|
||||
"""
|
||||
|
||||
async def need_migrate(self) -> bool:
|
||||
"""判断当前环境是否需要运行此迁移
|
||||
"""
|
||||
return os.path.exists("data/config/sensitive-words.json") and not os.path.exists("data/metadata/sensitive-words.json")
|
||||
|
||||
async def run(self):
|
||||
"""执行迁移
|
||||
"""
|
||||
# 移动文件
|
||||
os.rename("data/config/sensitive-words.json", "data/metadata/sensitive-words.json")
|
||||
|
||||
# 重新加载配置
|
||||
await self.ap.sensitive_meta.load_config()
|
||||
113
pkg/core/app.py
113
pkg/core/app.py
@@ -1,113 +0,0 @@
|
||||
from __future__ import annotations
|
||||
|
||||
import logging
|
||||
import asyncio
|
||||
import traceback
|
||||
|
||||
from ..platform import manager as im_mgr
|
||||
from ..provider.session import sessionmgr as llm_session_mgr
|
||||
from ..provider.modelmgr import modelmgr as llm_model_mgr
|
||||
from ..provider.sysprompt import sysprompt as llm_prompt_mgr
|
||||
from ..provider.tools import toolmgr as llm_tool_mgr
|
||||
from ..config import manager as config_mgr
|
||||
from ..audit.center import v2 as center_mgr
|
||||
from ..command import cmdmgr
|
||||
from ..plugin import manager as plugin_mgr
|
||||
from ..pipeline import pool
|
||||
from ..pipeline import controller, stagemgr
|
||||
from ..utils import version as version_mgr, proxy as proxy_mgr
|
||||
|
||||
|
||||
class Application:
|
||||
"""运行时应用对象和上下文"""
|
||||
|
||||
platform_mgr: im_mgr.PlatformManager = None
|
||||
|
||||
cmd_mgr: cmdmgr.CommandManager = None
|
||||
|
||||
sess_mgr: llm_session_mgr.SessionManager = None
|
||||
|
||||
model_mgr: llm_model_mgr.ModelManager = None
|
||||
|
||||
prompt_mgr: llm_prompt_mgr.PromptManager = None
|
||||
|
||||
tool_mgr: llm_tool_mgr.ToolManager = None
|
||||
|
||||
# ======= 配置管理器 =======
|
||||
|
||||
command_cfg: config_mgr.ConfigManager = None
|
||||
|
||||
pipeline_cfg: config_mgr.ConfigManager = None
|
||||
|
||||
platform_cfg: config_mgr.ConfigManager = None
|
||||
|
||||
provider_cfg: config_mgr.ConfigManager = None
|
||||
|
||||
system_cfg: config_mgr.ConfigManager = None
|
||||
|
||||
# ======= 元数据配置管理器 =======
|
||||
|
||||
sensitive_meta: config_mgr.ConfigManager = None
|
||||
|
||||
adapter_qq_botpy_meta: config_mgr.ConfigManager = None
|
||||
|
||||
plugin_setting_meta: config_mgr.ConfigManager = None
|
||||
|
||||
llm_models_meta: config_mgr.ConfigManager = None
|
||||
|
||||
# =========================
|
||||
|
||||
ctr_mgr: center_mgr.V2CenterAPI = None
|
||||
|
||||
plugin_mgr: plugin_mgr.PluginManager = None
|
||||
|
||||
query_pool: pool.QueryPool = None
|
||||
|
||||
ctrl: controller.Controller = None
|
||||
|
||||
stage_mgr: stagemgr.StageManager = None
|
||||
|
||||
ver_mgr: version_mgr.VersionManager = None
|
||||
|
||||
proxy_mgr: proxy_mgr.ProxyManager = None
|
||||
|
||||
logger: logging.Logger = None
|
||||
|
||||
def __init__(self):
|
||||
pass
|
||||
|
||||
async def initialize(self):
|
||||
pass
|
||||
|
||||
async def run(self):
|
||||
await self.plugin_mgr.initialize_plugins()
|
||||
|
||||
tasks = []
|
||||
|
||||
try:
|
||||
|
||||
tasks = [
|
||||
asyncio.create_task(self.platform_mgr.run()),
|
||||
asyncio.create_task(self.ctrl.run())
|
||||
]
|
||||
|
||||
# 挂信号处理
|
||||
|
||||
import signal
|
||||
|
||||
def signal_handler(sig, frame):
|
||||
for task in tasks:
|
||||
task.cancel()
|
||||
self.logger.info("程序退出.")
|
||||
exit(0)
|
||||
|
||||
signal.signal(signal.SIGINT, signal_handler)
|
||||
|
||||
await asyncio.gather(*tasks, return_exceptions=True)
|
||||
|
||||
except asyncio.CancelledError:
|
||||
pass
|
||||
except Exception as e:
|
||||
self.logger.error(f"应用运行致命异常: {e}")
|
||||
self.logger.debug(f"Traceback: {traceback.format_exc()}")
|
||||
|
||||
@@ -1,39 +0,0 @@
|
||||
from __future__ import print_function
|
||||
|
||||
from . import app
|
||||
from ..audit import identifier
|
||||
from . import stage
|
||||
|
||||
# 引入启动阶段实现以便注册
|
||||
from .stages import load_config, setup_logger, build_app, migrate
|
||||
|
||||
|
||||
stage_order = [
|
||||
"LoadConfigStage",
|
||||
"MigrationStage",
|
||||
"SetupLoggerStage",
|
||||
"BuildAppStage"
|
||||
]
|
||||
|
||||
|
||||
async def make_app() -> app.Application:
|
||||
|
||||
# 生成标识符
|
||||
identifier.init()
|
||||
|
||||
ap = app.Application()
|
||||
|
||||
# 执行启动阶段
|
||||
for stage_name in stage_order:
|
||||
stage_cls = stage.preregistered_stages[stage_name]
|
||||
stage_inst = stage_cls()
|
||||
await stage_inst.run(ap)
|
||||
|
||||
await ap.initialize()
|
||||
|
||||
return ap
|
||||
|
||||
|
||||
async def main():
|
||||
app_inst = await make_app()
|
||||
await app_inst.run()
|
||||
@@ -1,23 +0,0 @@
|
||||
from __future__ import annotations
|
||||
|
||||
import json
|
||||
|
||||
from ...config import manager as config_mgr
|
||||
from ...config.impls import pymodule
|
||||
|
||||
|
||||
load_python_module_config = config_mgr.load_python_module_config
|
||||
load_json_config = config_mgr.load_json_config
|
||||
|
||||
|
||||
async def override_config_manager(cfg_mgr: config_mgr.ConfigManager) -> list[str]:
|
||||
override_json = json.load(open("override.json", "r", encoding="utf-8"))
|
||||
overrided = []
|
||||
|
||||
config = cfg_mgr.data
|
||||
for key in override_json:
|
||||
if key in config:
|
||||
config[key] = override_json[key]
|
||||
overrided.append(key)
|
||||
|
||||
return overrided
|
||||
@@ -1,34 +0,0 @@
|
||||
import pip
|
||||
|
||||
required_deps = {
|
||||
"requests": "requests",
|
||||
"openai": "openai",
|
||||
"anthropic": "anthropic",
|
||||
"colorlog": "colorlog",
|
||||
"mirai": "yiri-mirai-rc",
|
||||
"aiocqhttp": "aiocqhttp",
|
||||
"botpy": "qq-botpy",
|
||||
"PIL": "pillow",
|
||||
"nakuru": "nakuru-project-idk",
|
||||
"tiktoken": "tiktoken",
|
||||
"yaml": "pyyaml",
|
||||
"aiohttp": "aiohttp",
|
||||
}
|
||||
|
||||
|
||||
async def check_deps() -> list[str]:
|
||||
global required_deps
|
||||
|
||||
missing_deps = []
|
||||
for dep in required_deps:
|
||||
try:
|
||||
__import__(dep)
|
||||
except ImportError:
|
||||
missing_deps.append(dep)
|
||||
return missing_deps
|
||||
|
||||
async def install_deps(deps: list[str]):
|
||||
global required_deps
|
||||
|
||||
for dep in deps:
|
||||
pip.main(["install", required_deps[dep]])
|
||||
@@ -1,43 +0,0 @@
|
||||
from __future__ import annotations
|
||||
|
||||
import os
|
||||
import shutil
|
||||
import sys
|
||||
|
||||
|
||||
required_files = {
|
||||
"plugins/__init__.py": "templates/__init__.py",
|
||||
"plugins/plugins.json": "templates/plugin-settings.json",
|
||||
"data/config/command.json": "templates/command.json",
|
||||
"data/config/pipeline.json": "templates/pipeline.json",
|
||||
"data/config/platform.json": "templates/platform.json",
|
||||
"data/config/provider.json": "templates/provider.json",
|
||||
"data/config/system.json": "templates/system.json",
|
||||
"data/scenario/default.json": "templates/scenario-template.json",
|
||||
}
|
||||
|
||||
required_paths = [
|
||||
"temp",
|
||||
"data",
|
||||
"data/metadata",
|
||||
"data/prompts",
|
||||
"data/scenario",
|
||||
"data/logs",
|
||||
"data/config",
|
||||
"plugins"
|
||||
]
|
||||
|
||||
async def generate_files() -> list[str]:
|
||||
global required_files, required_paths
|
||||
|
||||
for required_paths in required_paths:
|
||||
if not os.path.exists(required_paths):
|
||||
os.mkdir(required_paths)
|
||||
|
||||
generated_files = []
|
||||
for file in required_files:
|
||||
if not os.path.exists(file):
|
||||
shutil.copyfile(required_files[file], file)
|
||||
generated_files.append(file)
|
||||
|
||||
return generated_files
|
||||
@@ -1,61 +0,0 @@
|
||||
import logging
|
||||
import os
|
||||
import sys
|
||||
import time
|
||||
|
||||
import colorlog
|
||||
|
||||
|
||||
log_colors_config = {
|
||||
"DEBUG": "green", # cyan white
|
||||
"INFO": "white",
|
||||
"WARNING": "yellow",
|
||||
"ERROR": "red",
|
||||
"CRITICAL": "cyan",
|
||||
}
|
||||
|
||||
|
||||
async def init_logging() -> logging.Logger:
|
||||
# 删除所有现有的logger
|
||||
for handler in logging.root.handlers[:]:
|
||||
logging.root.removeHandler(handler)
|
||||
|
||||
level = logging.INFO
|
||||
|
||||
if "DEBUG" in os.environ and os.environ["DEBUG"] in ["true", "1"]:
|
||||
level = logging.DEBUG
|
||||
|
||||
log_file_name = "data/logs/qcg-%s.log" % time.strftime(
|
||||
"%Y-%m-%d-%H-%M-%S", time.localtime()
|
||||
)
|
||||
|
||||
qcg_logger = logging.getLogger("qcg")
|
||||
|
||||
qcg_logger.setLevel(level)
|
||||
|
||||
color_formatter = colorlog.ColoredFormatter(
|
||||
fmt="%(log_color)s[%(asctime)s.%(msecs)03d] %(pathname)s (%(lineno)d) - [%(levelname)s] :\n %(message)s",
|
||||
datefmt="%Y-%m-%d %H:%M:%S",
|
||||
log_colors=log_colors_config,
|
||||
)
|
||||
|
||||
stream_handler = logging.StreamHandler(sys.stdout)
|
||||
|
||||
log_handlers: logging.Handler = [stream_handler, logging.FileHandler(log_file_name)]
|
||||
|
||||
for handler in log_handlers:
|
||||
handler.setLevel(level)
|
||||
handler.setFormatter(color_formatter)
|
||||
qcg_logger.addHandler(handler)
|
||||
|
||||
qcg_logger.debug("日志初始化完成,日志级别:%s" % level)
|
||||
logging.basicConfig(
|
||||
level=logging.CRITICAL, # 设置日志输出格式
|
||||
format="[DEPR][%(asctime)s.%(msecs)03d] %(pathname)s (%(lineno)d) - [%(levelname)s] :\n%(message)s",
|
||||
# 日志输出的格式
|
||||
# -8表示占位符,让输出左对齐,输出长度都为8位
|
||||
datefmt="%Y-%m-%d %H:%M:%S", # 时间输出的格式
|
||||
handlers=[logging.NullHandler()],
|
||||
)
|
||||
|
||||
return qcg_logger
|
||||
@@ -1,118 +0,0 @@
|
||||
from __future__ import annotations
|
||||
|
||||
import enum
|
||||
import typing
|
||||
import datetime
|
||||
import asyncio
|
||||
|
||||
import pydantic
|
||||
import mirai
|
||||
|
||||
from ..provider import entities as llm_entities
|
||||
from ..provider.modelmgr import entities
|
||||
from ..provider.sysprompt import entities as sysprompt_entities
|
||||
from ..provider.tools import entities as tools_entities
|
||||
from ..platform import adapter as msadapter
|
||||
|
||||
|
||||
class LauncherTypes(enum.Enum):
|
||||
"""一个请求的发起者类型"""
|
||||
|
||||
PERSON = 'person'
|
||||
"""私聊"""
|
||||
|
||||
GROUP = 'group'
|
||||
"""群聊"""
|
||||
|
||||
|
||||
class Query(pydantic.BaseModel):
|
||||
"""一次请求的信息封装"""
|
||||
|
||||
query_id: int
|
||||
"""请求ID,添加进请求池时生成"""
|
||||
|
||||
launcher_type: LauncherTypes
|
||||
"""会话类型,platform处理阶段设置"""
|
||||
|
||||
launcher_id: int
|
||||
"""会话ID,platform处理阶段设置"""
|
||||
|
||||
sender_id: int
|
||||
"""发送者ID,platform处理阶段设置"""
|
||||
|
||||
message_event: mirai.MessageEvent
|
||||
"""事件,platform收到的原始事件"""
|
||||
|
||||
message_chain: mirai.MessageChain
|
||||
"""消息链,platform收到的原始消息链"""
|
||||
|
||||
adapter: msadapter.MessageSourceAdapter
|
||||
"""消息平台适配器对象,单个app中可能启用了多个消息平台适配器,此对象表明发起此query的适配器"""
|
||||
|
||||
session: typing.Optional[Session] = None
|
||||
"""会话对象,由前置处理器阶段设置"""
|
||||
|
||||
messages: typing.Optional[list[llm_entities.Message]] = []
|
||||
"""历史消息列表,由前置处理器阶段设置"""
|
||||
|
||||
prompt: typing.Optional[sysprompt_entities.Prompt] = None
|
||||
"""情景预设内容,由前置处理器阶段设置"""
|
||||
|
||||
user_message: typing.Optional[llm_entities.Message] = None
|
||||
"""此次请求的用户消息对象,由前置处理器阶段设置"""
|
||||
|
||||
use_model: typing.Optional[entities.LLMModelInfo] = None
|
||||
"""使用的模型,由前置处理器阶段设置"""
|
||||
|
||||
use_funcs: typing.Optional[list[tools_entities.LLMFunction]] = None
|
||||
"""使用的函数,由前置处理器阶段设置"""
|
||||
|
||||
resp_messages: typing.Optional[list[llm_entities.Message]] = []
|
||||
"""由Process阶段生成的回复消息对象列表"""
|
||||
|
||||
resp_message_chain: typing.Optional[mirai.MessageChain] = None
|
||||
"""回复消息链,从resp_messages包装而得"""
|
||||
|
||||
class Config:
|
||||
arbitrary_types_allowed = True
|
||||
|
||||
|
||||
class Conversation(pydantic.BaseModel):
|
||||
"""对话,包含于 Session 中,一个 Session 可以有多个历史 Conversation,但只有一个当前使用的 Conversation"""
|
||||
|
||||
prompt: sysprompt_entities.Prompt
|
||||
|
||||
messages: list[llm_entities.Message]
|
||||
|
||||
create_time: typing.Optional[datetime.datetime] = pydantic.Field(default_factory=datetime.datetime.now)
|
||||
|
||||
update_time: typing.Optional[datetime.datetime] = pydantic.Field(default_factory=datetime.datetime.now)
|
||||
|
||||
use_model: entities.LLMModelInfo
|
||||
|
||||
use_funcs: typing.Optional[list[tools_entities.LLMFunction]]
|
||||
|
||||
|
||||
class Session(pydantic.BaseModel):
|
||||
"""会话,一个 Session 对应一个 {launcher_type.value}_{launcher_id}"""
|
||||
launcher_type: LauncherTypes
|
||||
|
||||
launcher_id: int
|
||||
|
||||
sender_id: typing.Optional[int] = 0
|
||||
|
||||
use_prompt_name: typing.Optional[str] = 'default'
|
||||
|
||||
using_conversation: typing.Optional[Conversation] = None
|
||||
|
||||
conversations: typing.Optional[list[Conversation]] = []
|
||||
|
||||
create_time: typing.Optional[datetime.datetime] = pydantic.Field(default_factory=datetime.datetime.now)
|
||||
|
||||
update_time: typing.Optional[datetime.datetime] = pydantic.Field(default_factory=datetime.datetime.now)
|
||||
|
||||
semaphore: typing.Optional[asyncio.Semaphore] = None
|
||||
"""当前会话的信号量,用于限制并发"""
|
||||
|
||||
class Config:
|
||||
arbitrary_types_allowed = True
|
||||
@@ -1,96 +0,0 @@
|
||||
from __future__ import annotations
|
||||
|
||||
import sys
|
||||
|
||||
from .. import stage, app
|
||||
from ...utils import version, proxy, announce, platform
|
||||
from ...audit.center import v2 as center_v2
|
||||
from ...audit import identifier
|
||||
from ...pipeline import pool, controller, stagemgr
|
||||
from ...plugin import manager as plugin_mgr
|
||||
from ...command import cmdmgr
|
||||
from ...provider.session import sessionmgr as llm_session_mgr
|
||||
from ...provider.modelmgr import modelmgr as llm_model_mgr
|
||||
from ...provider.sysprompt import sysprompt as llm_prompt_mgr
|
||||
from ...provider.tools import toolmgr as llm_tool_mgr
|
||||
from ...platform import manager as im_mgr
|
||||
|
||||
|
||||
@stage.stage_class("BuildAppStage")
|
||||
class BuildAppStage(stage.BootingStage):
|
||||
"""构建应用阶段
|
||||
"""
|
||||
|
||||
async def run(self, ap: app.Application):
|
||||
"""构建app对象的各个组件对象并初始化
|
||||
"""
|
||||
|
||||
proxy_mgr = proxy.ProxyManager(ap)
|
||||
await proxy_mgr.initialize()
|
||||
ap.proxy_mgr = proxy_mgr
|
||||
|
||||
ver_mgr = version.VersionManager(ap)
|
||||
await ver_mgr.initialize()
|
||||
ap.ver_mgr = ver_mgr
|
||||
|
||||
center_v2_api = center_v2.V2CenterAPI(
|
||||
ap,
|
||||
basic_info={
|
||||
"host_id": identifier.identifier["host_id"],
|
||||
"instance_id": identifier.identifier["instance_id"],
|
||||
"semantic_version": ver_mgr.get_current_version(),
|
||||
"platform": platform.get_platform(),
|
||||
},
|
||||
runtime_info={
|
||||
"admin_id": "{}".format(ap.system_cfg.data["admin-sessions"]),
|
||||
"msg_source": str([
|
||||
adapter_cfg['adapter'] if 'adapter' in adapter_cfg else 'unknown'
|
||||
for adapter_cfg in ap.platform_cfg.data['platform-adapters'] if adapter_cfg['enable']
|
||||
]),
|
||||
},
|
||||
)
|
||||
ap.ctr_mgr = center_v2_api
|
||||
|
||||
# 发送公告
|
||||
ann_mgr = announce.AnnouncementManager(ap)
|
||||
await ann_mgr.show_announcements()
|
||||
|
||||
ap.query_pool = pool.QueryPool()
|
||||
|
||||
await ap.ver_mgr.show_version_update()
|
||||
|
||||
plugin_mgr_inst = plugin_mgr.PluginManager(ap)
|
||||
await plugin_mgr_inst.initialize()
|
||||
ap.plugin_mgr = plugin_mgr_inst
|
||||
await plugin_mgr_inst.load_plugins()
|
||||
|
||||
cmd_mgr_inst = cmdmgr.CommandManager(ap)
|
||||
await cmd_mgr_inst.initialize()
|
||||
ap.cmd_mgr = cmd_mgr_inst
|
||||
|
||||
llm_model_mgr_inst = llm_model_mgr.ModelManager(ap)
|
||||
await llm_model_mgr_inst.initialize()
|
||||
ap.model_mgr = llm_model_mgr_inst
|
||||
|
||||
llm_session_mgr_inst = llm_session_mgr.SessionManager(ap)
|
||||
await llm_session_mgr_inst.initialize()
|
||||
ap.sess_mgr = llm_session_mgr_inst
|
||||
|
||||
llm_prompt_mgr_inst = llm_prompt_mgr.PromptManager(ap)
|
||||
await llm_prompt_mgr_inst.initialize()
|
||||
ap.prompt_mgr = llm_prompt_mgr_inst
|
||||
|
||||
llm_tool_mgr_inst = llm_tool_mgr.ToolManager(ap)
|
||||
await llm_tool_mgr_inst.initialize()
|
||||
ap.tool_mgr = llm_tool_mgr_inst
|
||||
|
||||
im_mgr_inst = im_mgr.PlatformManager(ap=ap)
|
||||
await im_mgr_inst.initialize()
|
||||
ap.platform_mgr = im_mgr_inst
|
||||
|
||||
stage_mgr = stagemgr.StageManager(ap)
|
||||
await stage_mgr.initialize()
|
||||
ap.stage_mgr = stage_mgr
|
||||
|
||||
ctrl = controller.Controller(ap)
|
||||
ap.ctrl = ctrl
|
||||
@@ -1,31 +0,0 @@
|
||||
from __future__ import annotations
|
||||
|
||||
from .. import stage, app
|
||||
from ..bootutils import config
|
||||
|
||||
|
||||
@stage.stage_class("LoadConfigStage")
|
||||
class LoadConfigStage(stage.BootingStage):
|
||||
"""加载配置文件阶段
|
||||
"""
|
||||
|
||||
async def run(self, ap: app.Application):
|
||||
"""启动
|
||||
"""
|
||||
ap.command_cfg = await config.load_json_config("data/config/command.json", "templates/command.json")
|
||||
ap.pipeline_cfg = await config.load_json_config("data/config/pipeline.json", "templates/pipeline.json")
|
||||
ap.platform_cfg = await config.load_json_config("data/config/platform.json", "templates/platform.json")
|
||||
ap.provider_cfg = await config.load_json_config("data/config/provider.json", "templates/provider.json")
|
||||
ap.system_cfg = await config.load_json_config("data/config/system.json", "templates/system.json")
|
||||
|
||||
ap.plugin_setting_meta = await config.load_json_config("plugins/plugins.json", "templates/plugin-settings.json")
|
||||
await ap.plugin_setting_meta.dump_config()
|
||||
|
||||
ap.sensitive_meta = await config.load_json_config("data/metadata/sensitive-words.json", "templates/metadata/sensitive-words.json")
|
||||
await ap.sensitive_meta.dump_config()
|
||||
|
||||
ap.adapter_qq_botpy_meta = await config.load_json_config("data/metadata/adapter-qq-botpy.json", "templates/metadata/adapter-qq-botpy.json")
|
||||
await ap.adapter_qq_botpy_meta.dump_config()
|
||||
|
||||
ap.llm_models_meta = await config.load_json_config("data/metadata/llm-models.json", "templates/metadata/llm-models.json")
|
||||
await ap.llm_models_meta.dump_config()
|
||||
@@ -1,28 +0,0 @@
|
||||
from __future__ import annotations
|
||||
|
||||
import importlib
|
||||
|
||||
from .. import stage, app
|
||||
from ...config import migration
|
||||
from ...config.migrations import m001_sensitive_word_migration, m002_openai_config_migration, m003_anthropic_requester_cfg_completion, m004_moonshot_cfg_completion
|
||||
|
||||
|
||||
@stage.stage_class("MigrationStage")
|
||||
class MigrationStage(stage.BootingStage):
|
||||
"""迁移阶段
|
||||
"""
|
||||
|
||||
async def run(self, ap: app.Application):
|
||||
"""启动
|
||||
"""
|
||||
|
||||
migrations = migration.preregistered_migrations
|
||||
|
||||
# 按照迁移号排序
|
||||
migrations.sort(key=lambda x: x.number)
|
||||
|
||||
for migration_cls in migrations:
|
||||
migration_instance = migration_cls(ap)
|
||||
|
||||
if await migration_instance.need_migrate():
|
||||
await migration_instance.run()
|
||||
@@ -1,15 +0,0 @@
|
||||
from __future__ import annotations
|
||||
|
||||
from .. import stage, app
|
||||
from ..bootutils import log
|
||||
|
||||
|
||||
@stage.stage_class("SetupLoggerStage")
|
||||
class SetupLoggerStage(stage.BootingStage):
|
||||
"""设置日志器阶段
|
||||
"""
|
||||
|
||||
async def run(self, ap: app.Application):
|
||||
"""启动
|
||||
"""
|
||||
ap.logger = await log.init_logging()
|
||||
@@ -1,48 +0,0 @@
|
||||
from __future__ import annotations
|
||||
import re
|
||||
|
||||
from .. import stage, entities, stagemgr
|
||||
from ...core import entities as core_entities
|
||||
from ...config import manager as cfg_mgr
|
||||
|
||||
|
||||
@stage.stage_class('BanSessionCheckStage')
|
||||
class BanSessionCheckStage(stage.PipelineStage):
|
||||
"""访问控制处理阶段"""
|
||||
|
||||
async def initialize(self):
|
||||
pass
|
||||
|
||||
async def process(
|
||||
self,
|
||||
query: core_entities.Query,
|
||||
stage_inst_name: str
|
||||
) -> entities.StageProcessResult:
|
||||
|
||||
found = False
|
||||
|
||||
mode = self.ap.pipeline_cfg.data['access-control']['mode']
|
||||
|
||||
sess_list = self.ap.pipeline_cfg.data['access-control'][mode]
|
||||
|
||||
if (query.launcher_type.value == 'group' and 'group_*' in sess_list) \
|
||||
or (query.launcher_type.value == 'person' and 'person_*' in sess_list):
|
||||
found = True
|
||||
else:
|
||||
for sess in sess_list:
|
||||
if sess == f"{query.launcher_type.value}_{query.launcher_id}":
|
||||
found = True
|
||||
break
|
||||
|
||||
ctn = False
|
||||
|
||||
if mode == 'whitelist':
|
||||
ctn = found
|
||||
else:
|
||||
ctn = not found
|
||||
|
||||
return entities.StageProcessResult(
|
||||
result_type=entities.ResultType.CONTINUE if ctn else entities.ResultType.INTERRUPT,
|
||||
new_query=query,
|
||||
console_notice=f'根据访问控制忽略消息: {query.launcher_type.value}_{query.launcher_id}' if not ctn else ''
|
||||
)
|
||||
@@ -1,143 +0,0 @@
|
||||
from __future__ import annotations
|
||||
|
||||
import mirai
|
||||
|
||||
from ...core import app
|
||||
|
||||
from .. import stage, entities, stagemgr
|
||||
from ...core import entities as core_entities
|
||||
from ...config import manager as cfg_mgr
|
||||
from . import filter as filter_model, entities as filter_entities
|
||||
from .filters import cntignore, banwords, baiduexamine
|
||||
|
||||
|
||||
@stage.stage_class('PostContentFilterStage')
|
||||
@stage.stage_class('PreContentFilterStage')
|
||||
class ContentFilterStage(stage.PipelineStage):
|
||||
"""内容过滤阶段"""
|
||||
|
||||
filter_chain: list[filter_model.ContentFilter]
|
||||
|
||||
def __init__(self, ap: app.Application):
|
||||
self.filter_chain = []
|
||||
super().__init__(ap)
|
||||
|
||||
async def initialize(self):
|
||||
|
||||
filters_required = [
|
||||
"content-filter"
|
||||
]
|
||||
|
||||
if self.ap.pipeline_cfg.data['check-sensitive-words']:
|
||||
filters_required.append("ban-word-filter")
|
||||
|
||||
if self.ap.pipeline_cfg.data['baidu-cloud-examine']['enable']:
|
||||
filters_required.append("baidu-cloud-examine")
|
||||
|
||||
for filter in filter_model.preregistered_filters:
|
||||
if filter.name in filters_required:
|
||||
self.filter_chain.append(
|
||||
filter(self.ap)
|
||||
)
|
||||
|
||||
for filter in self.filter_chain:
|
||||
await filter.initialize()
|
||||
|
||||
async def _pre_process(
|
||||
self,
|
||||
message: str,
|
||||
query: core_entities.Query,
|
||||
) -> entities.StageProcessResult:
|
||||
"""请求llm前处理消息
|
||||
只要有一个不通过就不放行,只放行 PASS 的消息
|
||||
"""
|
||||
if not self.ap.pipeline_cfg.data['income-msg-check']:
|
||||
return entities.StageProcessResult(
|
||||
result_type=entities.ResultType.CONTINUE,
|
||||
new_query=query
|
||||
)
|
||||
else:
|
||||
for filter in self.filter_chain:
|
||||
if filter_entities.EnableStage.PRE in filter.enable_stages:
|
||||
result = await filter.process(message)
|
||||
|
||||
if result.level in [
|
||||
filter_entities.ResultLevel.BLOCK,
|
||||
filter_entities.ResultLevel.MASKED
|
||||
]:
|
||||
return entities.StageProcessResult(
|
||||
result_type=entities.ResultType.INTERRUPT,
|
||||
new_query=query,
|
||||
user_notice=result.user_notice,
|
||||
console_notice=result.console_notice
|
||||
)
|
||||
elif result.level == filter_entities.ResultLevel.PASS: # 传到下一个
|
||||
message = result.replacement
|
||||
|
||||
query.message_chain = mirai.MessageChain(
|
||||
mirai.Plain(message)
|
||||
)
|
||||
|
||||
return entities.StageProcessResult(
|
||||
result_type=entities.ResultType.CONTINUE,
|
||||
new_query=query
|
||||
)
|
||||
|
||||
async def _post_process(
|
||||
self,
|
||||
message: str,
|
||||
query: core_entities.Query,
|
||||
) -> entities.StageProcessResult:
|
||||
"""请求llm后处理响应
|
||||
只要是 PASS 或者 MASKED 的就通过此 filter,将其 replacement 设置为message,进入下一个 filter
|
||||
"""
|
||||
if message is None:
|
||||
return entities.StageProcessResult(
|
||||
result_type=entities.ResultType.CONTINUE,
|
||||
new_query=query
|
||||
)
|
||||
else:
|
||||
message = message.strip()
|
||||
for filter in self.filter_chain:
|
||||
if filter_entities.EnableStage.POST in filter.enable_stages:
|
||||
result = await filter.process(message)
|
||||
|
||||
if result.level == filter_entities.ResultLevel.BLOCK:
|
||||
return entities.StageProcessResult(
|
||||
result_type=entities.ResultType.INTERRUPT,
|
||||
new_query=query,
|
||||
user_notice=result.user_notice,
|
||||
console_notice=result.console_notice
|
||||
)
|
||||
elif result.level in [
|
||||
filter_entities.ResultLevel.PASS,
|
||||
filter_entities.ResultLevel.MASKED
|
||||
]:
|
||||
message = result.replacement
|
||||
|
||||
query.resp_messages[-1].content = message
|
||||
|
||||
return entities.StageProcessResult(
|
||||
result_type=entities.ResultType.CONTINUE,
|
||||
new_query=query
|
||||
)
|
||||
|
||||
async def process(
|
||||
self,
|
||||
query: core_entities.Query,
|
||||
stage_inst_name: str
|
||||
) -> entities.StageProcessResult:
|
||||
"""处理
|
||||
"""
|
||||
if stage_inst_name == 'PreContentFilterStage':
|
||||
return await self._pre_process(
|
||||
str(query.message_chain).strip(),
|
||||
query
|
||||
)
|
||||
elif stage_inst_name == 'PostContentFilterStage':
|
||||
return await self._post_process(
|
||||
query.resp_messages[-1].content,
|
||||
query
|
||||
)
|
||||
else:
|
||||
raise ValueError(f'未知的 stage_inst_name: {stage_inst_name}')
|
||||
@@ -1,78 +0,0 @@
|
||||
# 内容过滤器的抽象类
|
||||
from __future__ import annotations
|
||||
import abc
|
||||
import typing
|
||||
|
||||
from ...core import app
|
||||
from . import entities
|
||||
|
||||
|
||||
preregistered_filters: list[typing.Type[ContentFilter]] = []
|
||||
|
||||
|
||||
def filter_class(
|
||||
name: str
|
||||
) -> typing.Callable[[typing.Type[ContentFilter]], typing.Type[ContentFilter]]:
|
||||
"""内容过滤器类装饰器
|
||||
|
||||
Args:
|
||||
name (str): 过滤器名称
|
||||
|
||||
Returns:
|
||||
typing.Callable[[typing.Type[ContentFilter]], typing.Type[ContentFilter]]: 装饰器
|
||||
"""
|
||||
def decorator(cls: typing.Type[ContentFilter]) -> typing.Type[ContentFilter]:
|
||||
assert issubclass(cls, ContentFilter)
|
||||
|
||||
cls.name = name
|
||||
|
||||
preregistered_filters.append(cls)
|
||||
|
||||
return cls
|
||||
|
||||
return decorator
|
||||
|
||||
|
||||
class ContentFilter(metaclass=abc.ABCMeta):
|
||||
"""内容过滤器抽象类"""
|
||||
|
||||
name: str
|
||||
|
||||
ap: app.Application
|
||||
|
||||
def __init__(self, ap: app.Application):
|
||||
self.ap = ap
|
||||
|
||||
@property
|
||||
def enable_stages(self):
|
||||
"""启用的阶段
|
||||
|
||||
默认为消息请求AI前后的两个阶段。
|
||||
|
||||
entity.EnableStage.PRE: 消息请求AI前,此时需要检查的内容是用户的输入消息。
|
||||
entity.EnableStage.POST: 消息请求AI后,此时需要检查的内容是AI的回复消息。
|
||||
"""
|
||||
return [
|
||||
entities.EnableStage.PRE,
|
||||
entities.EnableStage.POST
|
||||
]
|
||||
|
||||
async def initialize(self):
|
||||
"""初始化过滤器
|
||||
"""
|
||||
pass
|
||||
|
||||
@abc.abstractmethod
|
||||
async def process(self, message: str) -> entities.FilterResult:
|
||||
"""处理消息
|
||||
|
||||
分为前后阶段,具体取决于 enable_stages 的值。
|
||||
对于内容过滤器来说,不需要考虑消息所处的阶段,只需要检查消息内容即可。
|
||||
|
||||
Args:
|
||||
message (str): 需要检查的内容
|
||||
|
||||
Returns:
|
||||
entities.FilterResult: 过滤结果,具体内容请查看 entities.FilterResult 类的文档
|
||||
"""
|
||||
raise NotImplementedError
|
||||
@@ -1,161 +0,0 @@
|
||||
from __future__ import annotations
|
||||
|
||||
import asyncio
|
||||
import typing
|
||||
import traceback
|
||||
|
||||
from ..core import app, entities
|
||||
from . import entities as pipeline_entities
|
||||
from ..plugin import events
|
||||
|
||||
|
||||
class Controller:
|
||||
"""总控制器
|
||||
"""
|
||||
ap: app.Application
|
||||
|
||||
semaphore: asyncio.Semaphore = None
|
||||
"""请求并发控制信号量"""
|
||||
|
||||
def __init__(self, ap: app.Application):
|
||||
self.ap = ap
|
||||
self.semaphore = asyncio.Semaphore(self.ap.system_cfg.data['pipeline-concurrency'])
|
||||
|
||||
async def consumer(self):
|
||||
"""事件处理循环
|
||||
"""
|
||||
try:
|
||||
while True:
|
||||
selected_query: entities.Query = None
|
||||
|
||||
# 取请求
|
||||
async with self.ap.query_pool:
|
||||
queries: list[entities.Query] = self.ap.query_pool.queries
|
||||
|
||||
for query in queries:
|
||||
session = await self.ap.sess_mgr.get_session(query)
|
||||
self.ap.logger.debug(f"Checking query {query} session {session}")
|
||||
|
||||
if not session.semaphore.locked():
|
||||
selected_query = query
|
||||
await session.semaphore.acquire()
|
||||
|
||||
break
|
||||
|
||||
if selected_query: # 找到了
|
||||
queries.remove(selected_query)
|
||||
else: # 没找到 说明:没有请求 或者 所有query对应的session都已达到并发上限
|
||||
await self.ap.query_pool.condition.wait()
|
||||
continue
|
||||
|
||||
if selected_query:
|
||||
async def _process_query(selected_query):
|
||||
async with self.semaphore: # 总并发上限
|
||||
await self.process_query(selected_query)
|
||||
|
||||
async with self.ap.query_pool:
|
||||
(await self.ap.sess_mgr.get_session(selected_query)).semaphore.release()
|
||||
# 通知其他协程,有新的请求可以处理了
|
||||
self.ap.query_pool.condition.notify_all()
|
||||
|
||||
asyncio.create_task(_process_query(selected_query))
|
||||
except Exception as e:
|
||||
# traceback.print_exc()
|
||||
self.ap.logger.error(f"控制器循环出错: {e}")
|
||||
self.ap.logger.debug(f"Traceback: {traceback.format_exc()}")
|
||||
|
||||
async def _check_output(self, query: entities.Query, result: pipeline_entities.StageProcessResult):
|
||||
"""检查输出
|
||||
"""
|
||||
if result.user_notice:
|
||||
await self.ap.platform_mgr.send(
|
||||
query.message_event,
|
||||
result.user_notice,
|
||||
query.adapter
|
||||
)
|
||||
if result.debug_notice:
|
||||
self.ap.logger.debug(result.debug_notice)
|
||||
if result.console_notice:
|
||||
self.ap.logger.info(result.console_notice)
|
||||
if result.error_notice:
|
||||
self.ap.logger.error(result.error_notice)
|
||||
|
||||
async def _execute_from_stage(
|
||||
self,
|
||||
stage_index: int,
|
||||
query: entities.Query,
|
||||
):
|
||||
"""从指定阶段开始执行,实现了责任链模式和基于生成器的阶段分叉功能。
|
||||
|
||||
如何看懂这里为什么这么写?
|
||||
去问 GPT-4:
|
||||
Q1: 现在有一个责任链,其中有多个stage,query对象在其中传递,stage.process可能返回Result也有可能返回typing.AsyncGenerator[Result, None],
|
||||
如果返回的是生成器,需要挨个生成result,检查是否result中是否要求继续,如果要求继续就进行下一个stage。如果此次生成器产生的result处理完了,就继续生成下一个result,
|
||||
调用后续的stage,直到该生成器全部生成完。责任链中可能有多个stage会返回生成器
|
||||
Q2: 不是这样的,你可能理解有误。如果我们责任链上有这些Stage:
|
||||
|
||||
A B C D E F G
|
||||
|
||||
如果所有的stage都返回Result,且所有Result都要求继续,那么执行顺序是:
|
||||
|
||||
A B C D E F G
|
||||
|
||||
现在假设C返回的是AsyncGenerator,那么执行顺序是:
|
||||
|
||||
A B C D E F G C D E F G C D E F G ...
|
||||
Q3: 但是如果不止一个stage会返回生成器呢?
|
||||
"""
|
||||
i = stage_index
|
||||
|
||||
while i < len(self.ap.stage_mgr.stage_containers):
|
||||
stage_container = self.ap.stage_mgr.stage_containers[i]
|
||||
|
||||
result = stage_container.inst.process(query, stage_container.inst_name)
|
||||
|
||||
if isinstance(result, typing.Coroutine):
|
||||
result = await result
|
||||
|
||||
if isinstance(result, pipeline_entities.StageProcessResult): # 直接返回结果
|
||||
self.ap.logger.debug(f"Stage {stage_container.inst_name} processed query {query} res {result}")
|
||||
await self._check_output(query, result)
|
||||
|
||||
if result.result_type == pipeline_entities.ResultType.INTERRUPT:
|
||||
self.ap.logger.debug(f"Stage {stage_container.inst_name} interrupted query {query}")
|
||||
break
|
||||
elif result.result_type == pipeline_entities.ResultType.CONTINUE:
|
||||
query = result.new_query
|
||||
elif isinstance(result, typing.AsyncGenerator): # 生成器
|
||||
self.ap.logger.debug(f"Stage {stage_container.inst_name} processed query {query} gen")
|
||||
|
||||
async for sub_result in result:
|
||||
self.ap.logger.debug(f"Stage {stage_container.inst_name} processed query {query} res {sub_result}")
|
||||
await self._check_output(query, sub_result)
|
||||
|
||||
if sub_result.result_type == pipeline_entities.ResultType.INTERRUPT:
|
||||
self.ap.logger.debug(f"Stage {stage_container.inst_name} interrupted query {query}")
|
||||
break
|
||||
elif sub_result.result_type == pipeline_entities.ResultType.CONTINUE:
|
||||
query = sub_result.new_query
|
||||
await self._execute_from_stage(i + 1, query)
|
||||
break
|
||||
|
||||
i += 1
|
||||
|
||||
async def process_query(self, query: entities.Query):
|
||||
"""处理请求
|
||||
"""
|
||||
self.ap.logger.debug(f"Processing query {query}")
|
||||
|
||||
try:
|
||||
await self._execute_from_stage(0, query)
|
||||
except Exception as e:
|
||||
self.ap.logger.error(f"处理请求时出错 query_id={query.query_id}: {e}")
|
||||
self.ap.logger.debug(f"Traceback: {traceback.format_exc()}")
|
||||
# traceback.print_exc()
|
||||
finally:
|
||||
self.ap.logger.debug(f"Query {query} processed")
|
||||
|
||||
async def run(self):
|
||||
"""运行控制器
|
||||
"""
|
||||
await self.consumer()
|
||||
@@ -1,64 +0,0 @@
|
||||
from __future__ import annotations
|
||||
import os
|
||||
import traceback
|
||||
|
||||
from PIL import Image, ImageDraw, ImageFont
|
||||
from mirai.models.message import MessageComponent, Plain, MessageChain
|
||||
|
||||
from ...core import app
|
||||
from . import strategy
|
||||
from .strategies import image, forward
|
||||
from .. import stage, entities, stagemgr
|
||||
from ...core import entities as core_entities
|
||||
from ...config import manager as cfg_mgr
|
||||
|
||||
|
||||
@stage.stage_class("LongTextProcessStage")
|
||||
class LongTextProcessStage(stage.PipelineStage):
|
||||
"""长消息处理阶段
|
||||
"""
|
||||
|
||||
strategy_impl: strategy.LongTextStrategy
|
||||
|
||||
async def initialize(self):
|
||||
config = self.ap.platform_cfg.data['long-text-process']
|
||||
if config['strategy'] == 'image':
|
||||
use_font = config['font-path']
|
||||
try:
|
||||
# 检查是否存在
|
||||
if not os.path.exists(use_font):
|
||||
# 若是windows系统,使用微软雅黑
|
||||
if os.name == "nt":
|
||||
use_font = "C:/Windows/Fonts/msyh.ttc"
|
||||
if not os.path.exists(use_font):
|
||||
self.ap.logger.warn("未找到字体文件,且无法使用Windows自带字体,更换为转发消息组件以发送长消息,您可以在config.py中调整相关设置。")
|
||||
config['blob_message_strategy'] = "forward"
|
||||
else:
|
||||
self.ap.logger.info("使用Windows自带字体:" + use_font)
|
||||
config['font-path'] = use_font
|
||||
else:
|
||||
self.ap.logger.warn("未找到字体文件,且无法使用系统自带字体,更换为转发消息组件以发送长消息,您可以在config.py中调整相关设置。")
|
||||
|
||||
self.ap.platform_cfg.data['long-text-process']['strategy'] = "forward"
|
||||
except:
|
||||
traceback.print_exc()
|
||||
self.ap.logger.error("加载字体文件失败({}),更换为转发消息组件以发送长消息,您可以在config.py中调整相关设置。".format(use_font))
|
||||
|
||||
self.ap.platform_cfg.data['long-text-process']['strategy'] = "forward"
|
||||
|
||||
for strategy_cls in strategy.preregistered_strategies:
|
||||
if strategy_cls.name == config['strategy']:
|
||||
self.strategy_impl = strategy_cls(self.ap)
|
||||
break
|
||||
else:
|
||||
raise ValueError(f"未找到名为 {config['strategy']} 的长消息处理策略")
|
||||
|
||||
await self.strategy_impl.initialize()
|
||||
|
||||
async def process(self, query: core_entities.Query, stage_inst_name: str) -> entities.StageProcessResult:
|
||||
if len(str(query.resp_message_chain)) > self.ap.platform_cfg.data['long-text-process']['threshold']:
|
||||
query.resp_message_chain = MessageChain(await self.strategy_impl.process(str(query.resp_message_chain), query))
|
||||
return entities.StageProcessResult(
|
||||
result_type=entities.ResultType.CONTINUE,
|
||||
new_query=query
|
||||
)
|
||||
@@ -1,64 +0,0 @@
|
||||
# 转发消息组件
|
||||
from __future__ import annotations
|
||||
import typing
|
||||
|
||||
from mirai.models import MessageChain
|
||||
from mirai.models.message import MessageComponent, ForwardMessageNode
|
||||
from mirai.models.base import MiraiBaseModel
|
||||
|
||||
from .. import strategy as strategy_model
|
||||
from ....core import entities as core_entities
|
||||
|
||||
|
||||
class ForwardMessageDiaplay(MiraiBaseModel):
|
||||
title: str = "群聊的聊天记录"
|
||||
brief: str = "[聊天记录]"
|
||||
source: str = "聊天记录"
|
||||
preview: typing.List[str] = []
|
||||
summary: str = "查看x条转发消息"
|
||||
|
||||
|
||||
class Forward(MessageComponent):
|
||||
"""合并转发。"""
|
||||
type: str = "Forward"
|
||||
"""消息组件类型。"""
|
||||
display: ForwardMessageDiaplay
|
||||
"""显示信息"""
|
||||
node_list: typing.List[ForwardMessageNode]
|
||||
"""转发消息节点列表。"""
|
||||
def __init__(self, *args, **kwargs):
|
||||
if len(args) == 1:
|
||||
self.node_list = args[0]
|
||||
super().__init__(**kwargs)
|
||||
super().__init__(*args, **kwargs)
|
||||
|
||||
def __str__(self):
|
||||
return '[聊天记录]'
|
||||
|
||||
|
||||
@strategy_model.strategy_class("forward")
|
||||
class ForwardComponentStrategy(strategy_model.LongTextStrategy):
|
||||
|
||||
async def process(self, message: str, query: core_entities.Query) -> list[MessageComponent]:
|
||||
display = ForwardMessageDiaplay(
|
||||
title="群聊的聊天记录",
|
||||
brief="[聊天记录]",
|
||||
source="聊天记录",
|
||||
preview=["QQ用户: "+message],
|
||||
summary="查看1条转发消息"
|
||||
)
|
||||
|
||||
node_list = [
|
||||
ForwardMessageNode(
|
||||
sender_id=query.adapter.bot_account_id,
|
||||
sender_name='QQ用户',
|
||||
message_chain=MessageChain([message])
|
||||
)
|
||||
]
|
||||
|
||||
forward = Forward(
|
||||
display=display,
|
||||
node_list=node_list
|
||||
)
|
||||
|
||||
return [forward]
|
||||
@@ -1,58 +0,0 @@
|
||||
from __future__ import annotations
|
||||
|
||||
import asyncio
|
||||
|
||||
import mirai
|
||||
|
||||
from ..core import entities
|
||||
from ..platform import adapter as msadapter
|
||||
|
||||
|
||||
class QueryPool:
|
||||
"""请求池,请求获得调度进入pipeline之前,保存在这里"""
|
||||
|
||||
query_id_counter: int = 0
|
||||
|
||||
pool_lock: asyncio.Lock
|
||||
|
||||
queries: list[entities.Query]
|
||||
|
||||
condition: asyncio.Condition
|
||||
|
||||
def __init__(self):
|
||||
self.query_id_counter = 0
|
||||
self.pool_lock = asyncio.Lock()
|
||||
self.queries = []
|
||||
self.condition = asyncio.Condition(self.pool_lock)
|
||||
|
||||
async def add_query(
|
||||
self,
|
||||
launcher_type: entities.LauncherTypes,
|
||||
launcher_id: int,
|
||||
sender_id: int,
|
||||
message_event: mirai.MessageEvent,
|
||||
message_chain: mirai.MessageChain,
|
||||
adapter: msadapter.MessageSourceAdapter
|
||||
) -> entities.Query:
|
||||
async with self.condition:
|
||||
query = entities.Query(
|
||||
query_id=self.query_id_counter,
|
||||
launcher_type=launcher_type,
|
||||
launcher_id=launcher_id,
|
||||
sender_id=sender_id,
|
||||
message_event=message_event,
|
||||
message_chain=message_chain,
|
||||
resp_messages=[],
|
||||
resp_message_chain=None,
|
||||
adapter=adapter
|
||||
)
|
||||
self.queries.append(query)
|
||||
self.query_id_counter += 1
|
||||
self.condition.notify_all()
|
||||
|
||||
async def __aenter__(self):
|
||||
await self.pool_lock.acquire()
|
||||
return self
|
||||
|
||||
async def __aexit__(self, exc_type, exc_val, exc_tb):
|
||||
self.pool_lock.release()
|
||||
@@ -1,57 +0,0 @@
|
||||
from __future__ import annotations
|
||||
|
||||
from .. import stage, entities, stagemgr
|
||||
from ...core import entities as core_entities
|
||||
from ...provider import entities as llm_entities
|
||||
from ...plugin import events
|
||||
|
||||
|
||||
@stage.stage_class("PreProcessor")
|
||||
class PreProcessor(stage.PipelineStage):
|
||||
"""请求预处理阶段
|
||||
"""
|
||||
|
||||
async def process(
|
||||
self,
|
||||
query: core_entities.Query,
|
||||
stage_inst_name: str,
|
||||
) -> entities.StageProcessResult:
|
||||
"""处理
|
||||
"""
|
||||
session = await self.ap.sess_mgr.get_session(query)
|
||||
|
||||
conversation = await self.ap.sess_mgr.get_conversation(session)
|
||||
|
||||
# 从会话取出消息和情景预设到query
|
||||
query.session = session
|
||||
query.prompt = conversation.prompt.copy()
|
||||
query.messages = conversation.messages.copy()
|
||||
|
||||
query.user_message = llm_entities.Message(
|
||||
role='user',
|
||||
content=str(query.message_chain).strip()
|
||||
)
|
||||
|
||||
query.use_model = conversation.use_model
|
||||
|
||||
query.use_funcs = conversation.use_funcs
|
||||
|
||||
# =========== 触发事件 PromptPreProcessing
|
||||
session = query.session
|
||||
|
||||
event_ctx = await self.ap.plugin_mgr.emit_event(
|
||||
event=events.PromptPreProcessing(
|
||||
session_name=f'{session.launcher_type.value}_{session.launcher_id}',
|
||||
default_prompt=query.prompt.messages,
|
||||
prompt=query.messages,
|
||||
query=query
|
||||
)
|
||||
)
|
||||
|
||||
query.prompt.messages = event_ctx.event.default_prompt
|
||||
query.messages = event_ctx.event.prompt
|
||||
|
||||
return entities.StageProcessResult(
|
||||
result_type=entities.ResultType.CONTINUE,
|
||||
new_query=query
|
||||
)
|
||||
@@ -1,118 +0,0 @@
|
||||
from __future__ import annotations
|
||||
|
||||
import typing
|
||||
import time
|
||||
import traceback
|
||||
|
||||
import mirai
|
||||
|
||||
from .. import handler
|
||||
from ... import entities
|
||||
from ....core import entities as core_entities
|
||||
from ....provider import entities as llm_entities
|
||||
from ....plugin import events
|
||||
|
||||
|
||||
class ChatMessageHandler(handler.MessageHandler):
|
||||
|
||||
async def handle(
|
||||
self,
|
||||
query: core_entities.Query,
|
||||
) -> typing.AsyncGenerator[entities.StageProcessResult, None]:
|
||||
"""处理
|
||||
"""
|
||||
# 调API
|
||||
# 生成器
|
||||
|
||||
# 触发插件事件
|
||||
event_class = events.PersonNormalMessageReceived if query.launcher_type == core_entities.LauncherTypes.PERSON else events.GroupNormalMessageReceived
|
||||
|
||||
event_ctx = await self.ap.plugin_mgr.emit_event(
|
||||
event=event_class(
|
||||
launcher_type=query.launcher_type.value,
|
||||
launcher_id=query.launcher_id,
|
||||
sender_id=query.sender_id,
|
||||
text_message=str(query.message_chain),
|
||||
query=query
|
||||
)
|
||||
)
|
||||
|
||||
if event_ctx.is_prevented_default():
|
||||
if event_ctx.event.reply is not None:
|
||||
mc = mirai.MessageChain(event_ctx.event.reply)
|
||||
|
||||
query.resp_messages.append(
|
||||
llm_entities.Message(
|
||||
role='plugin',
|
||||
content=str(mc),
|
||||
)
|
||||
)
|
||||
|
||||
yield entities.StageProcessResult(
|
||||
result_type=entities.ResultType.CONTINUE,
|
||||
new_query=query
|
||||
)
|
||||
else:
|
||||
yield entities.StageProcessResult(
|
||||
result_type=entities.ResultType.INTERRUPT,
|
||||
new_query=query
|
||||
)
|
||||
else:
|
||||
|
||||
if not self.ap.provider_cfg.data['enable-chat']:
|
||||
yield entities.StageProcessResult(
|
||||
result_type=entities.ResultType.INTERRUPT,
|
||||
new_query=query,
|
||||
)
|
||||
|
||||
if event_ctx.event.alter is not None:
|
||||
query.message_chain = mirai.MessageChain([
|
||||
mirai.Plain(event_ctx.event.alter)
|
||||
])
|
||||
|
||||
query.messages.append(
|
||||
query.user_message
|
||||
)
|
||||
|
||||
text_length = 0
|
||||
|
||||
start_time = time.time()
|
||||
|
||||
try:
|
||||
|
||||
async for result in query.use_model.requester.request(query):
|
||||
query.resp_messages.append(result)
|
||||
|
||||
self.ap.logger.info(f'对话({query.query_id})响应: {self.cut_str(result.readable_str())}')
|
||||
|
||||
if result.content is not None:
|
||||
text_length += len(result.content)
|
||||
|
||||
yield entities.StageProcessResult(
|
||||
result_type=entities.ResultType.CONTINUE,
|
||||
new_query=query
|
||||
)
|
||||
except Exception as e:
|
||||
|
||||
self.ap.logger.error(f'对话({query.query_id})请求失败: {str(e)}')
|
||||
|
||||
yield entities.StageProcessResult(
|
||||
result_type=entities.ResultType.INTERRUPT,
|
||||
new_query=query,
|
||||
user_notice='请求失败' if self.ap.platform_cfg.data['hide-exception-info'] else f'{e}',
|
||||
error_notice=f'{e}',
|
||||
debug_notice=traceback.format_exc()
|
||||
)
|
||||
finally:
|
||||
query.session.using_conversation.messages.append(query.user_message)
|
||||
query.session.using_conversation.messages.extend(query.resp_messages)
|
||||
|
||||
await self.ap.ctr_mgr.usage.post_query_record(
|
||||
session_type=query.session.launcher_type.value,
|
||||
session_id=str(query.session.launcher_id),
|
||||
query_ability_provider="QChatGPT.Chat",
|
||||
usage=text_length,
|
||||
model_name=query.use_model.name,
|
||||
response_seconds=int(time.time() - start_time),
|
||||
retry_times=-1,
|
||||
)
|
||||
@@ -1,120 +0,0 @@
|
||||
from __future__ import annotations
|
||||
import typing
|
||||
|
||||
import mirai
|
||||
|
||||
from .. import handler
|
||||
from ... import entities
|
||||
from ....core import entities as core_entities
|
||||
from ....provider import entities as llm_entities
|
||||
from ....plugin import events
|
||||
|
||||
|
||||
class CommandHandler(handler.MessageHandler):
|
||||
|
||||
async def handle(
|
||||
self,
|
||||
query: core_entities.Query,
|
||||
) -> typing.AsyncGenerator[entities.StageProcessResult, None]:
|
||||
"""处理
|
||||
"""
|
||||
|
||||
command_text = str(query.message_chain).strip()[1:]
|
||||
|
||||
privilege = 1
|
||||
|
||||
if f'{query.launcher_type.value}_{query.launcher_id}' in self.ap.system_cfg.data['admin-sessions']:
|
||||
privilege = 2
|
||||
|
||||
spt = command_text.split(' ')
|
||||
|
||||
event_class = events.PersonCommandSent if query.launcher_type == core_entities.LauncherTypes.PERSON else events.GroupCommandSent
|
||||
|
||||
event_ctx = await self.ap.plugin_mgr.emit_event(
|
||||
event=event_class(
|
||||
launcher_type=query.launcher_type.value,
|
||||
launcher_id=query.launcher_id,
|
||||
sender_id=query.sender_id,
|
||||
command=spt[0],
|
||||
params=spt[1:] if len(spt) > 1 else [],
|
||||
text_message=str(query.message_chain),
|
||||
is_admin=(privilege==2),
|
||||
query=query
|
||||
)
|
||||
)
|
||||
|
||||
if event_ctx.is_prevented_default():
|
||||
|
||||
if event_ctx.event.reply is not None:
|
||||
mc = mirai.MessageChain(event_ctx.event.reply)
|
||||
|
||||
query.resp_messages.append(
|
||||
llm_entities.Message(
|
||||
role='command',
|
||||
content=str(mc),
|
||||
)
|
||||
)
|
||||
|
||||
yield entities.StageProcessResult(
|
||||
result_type=entities.ResultType.CONTINUE,
|
||||
new_query=query
|
||||
)
|
||||
else:
|
||||
yield entities.StageProcessResult(
|
||||
result_type=entities.ResultType.INTERRUPT,
|
||||
new_query=query
|
||||
)
|
||||
|
||||
else:
|
||||
|
||||
if event_ctx.event.alter is not None:
|
||||
query.message_chain = mirai.MessageChain([
|
||||
mirai.Plain(event_ctx.event.alter)
|
||||
])
|
||||
|
||||
session = await self.ap.sess_mgr.get_session(query)
|
||||
|
||||
async for ret in self.ap.cmd_mgr.execute(
|
||||
command_text=command_text,
|
||||
query=query,
|
||||
session=session
|
||||
):
|
||||
if ret.error is not None:
|
||||
# query.resp_message_chain = mirai.MessageChain([
|
||||
# mirai.Plain(str(ret.error))
|
||||
# ])
|
||||
query.resp_messages.append(
|
||||
llm_entities.Message(
|
||||
role='command',
|
||||
content=str(ret.error),
|
||||
)
|
||||
)
|
||||
|
||||
self.ap.logger.info(f'命令({query.query_id})报错: {self.cut_str(str(ret.error))}')
|
||||
|
||||
yield entities.StageProcessResult(
|
||||
result_type=entities.ResultType.CONTINUE,
|
||||
new_query=query
|
||||
)
|
||||
elif ret.text is not None:
|
||||
# query.resp_message_chain = mirai.MessageChain([
|
||||
# mirai.Plain(ret.text)
|
||||
# ])
|
||||
query.resp_messages.append(
|
||||
llm_entities.Message(
|
||||
role='command',
|
||||
content=ret.text,
|
||||
)
|
||||
)
|
||||
|
||||
self.ap.logger.info(f'命令返回: {self.cut_str(ret.text)}')
|
||||
|
||||
yield entities.StageProcessResult(
|
||||
result_type=entities.ResultType.CONTINUE,
|
||||
new_query=query
|
||||
)
|
||||
else:
|
||||
yield entities.StageProcessResult(
|
||||
result_type=entities.ResultType.INTERRUPT,
|
||||
new_query=query
|
||||
)
|
||||
@@ -1,46 +0,0 @@
|
||||
from __future__ import annotations
|
||||
|
||||
from ...core import app, entities as core_entities
|
||||
from . import handler
|
||||
from .handlers import chat, command
|
||||
from .. import entities
|
||||
from .. import stage, entities, stagemgr
|
||||
from ...core import entities as core_entities
|
||||
from ...config import manager as cfg_mgr
|
||||
|
||||
|
||||
@stage.stage_class("MessageProcessor")
|
||||
class Processor(stage.PipelineStage):
|
||||
"""请求实际处理阶段"""
|
||||
|
||||
cmd_handler: handler.MessageHandler
|
||||
|
||||
chat_handler: handler.MessageHandler
|
||||
|
||||
async def initialize(self):
|
||||
self.cmd_handler = command.CommandHandler(self.ap)
|
||||
self.chat_handler = chat.ChatMessageHandler(self.ap)
|
||||
|
||||
await self.cmd_handler.initialize()
|
||||
await self.chat_handler.initialize()
|
||||
|
||||
async def process(
|
||||
self,
|
||||
query: core_entities.Query,
|
||||
stage_inst_name: str,
|
||||
) -> entities.StageProcessResult:
|
||||
"""处理
|
||||
"""
|
||||
message_text = str(query.message_chain).strip()
|
||||
|
||||
self.ap.logger.info(f"处理 {query.launcher_type.value}_{query.launcher_id} 的请求({query.query_id}): {message_text}")
|
||||
|
||||
async def generator():
|
||||
if message_text.startswith('!') or message_text.startswith('!'):
|
||||
async for result in self.cmd_handler.handle(query):
|
||||
yield result
|
||||
else:
|
||||
async for result in self.chat_handler.handle(query):
|
||||
yield result
|
||||
|
||||
return generator()
|
||||
@@ -1,41 +0,0 @@
|
||||
from __future__ import annotations
|
||||
|
||||
import random
|
||||
import asyncio
|
||||
|
||||
import mirai
|
||||
|
||||
from ...core import app
|
||||
|
||||
from .. import stage, entities, stagemgr
|
||||
from ...core import entities as core_entities
|
||||
from ...config import manager as cfg_mgr
|
||||
|
||||
|
||||
@stage.stage_class("SendResponseBackStage")
|
||||
class SendResponseBackStage(stage.PipelineStage):
|
||||
"""发送响应消息
|
||||
"""
|
||||
|
||||
async def process(self, query: core_entities.Query, stage_inst_name: str) -> entities.StageProcessResult:
|
||||
"""处理
|
||||
"""
|
||||
random_delay = random.uniform(*self.ap.platform_cfg.data['force-delay'])
|
||||
|
||||
self.ap.logger.debug(
|
||||
"根据规则强制延迟回复: %s s",
|
||||
random_delay
|
||||
)
|
||||
|
||||
await asyncio.sleep(random_delay)
|
||||
|
||||
await self.ap.platform_mgr.send(
|
||||
query.message_event,
|
||||
query.resp_message_chain,
|
||||
adapter=query.adapter
|
||||
)
|
||||
|
||||
return entities.StageProcessResult(
|
||||
result_type=entities.ResultType.CONTINUE,
|
||||
new_query=query
|
||||
)
|
||||
@@ -1,9 +0,0 @@
|
||||
import pydantic
|
||||
import mirai
|
||||
|
||||
|
||||
class RuleJudgeResult(pydantic.BaseModel):
|
||||
|
||||
matching: bool = False
|
||||
|
||||
replacement: mirai.MessageChain = None
|
||||
@@ -1,60 +0,0 @@
|
||||
from __future__ import annotations
|
||||
|
||||
import mirai
|
||||
|
||||
from ...core import app
|
||||
from . import entities as rule_entities, rule
|
||||
from .rules import atbot, prefix, regexp, random
|
||||
|
||||
from .. import stage, entities, stagemgr
|
||||
from ...core import entities as core_entities
|
||||
from ...config import manager as cfg_mgr
|
||||
|
||||
|
||||
@stage.stage_class("GroupRespondRuleCheckStage")
|
||||
class GroupRespondRuleCheckStage(stage.PipelineStage):
|
||||
"""群组响应规则检查器
|
||||
"""
|
||||
|
||||
rule_matchers: list[rule.GroupRespondRule]
|
||||
|
||||
async def initialize(self):
|
||||
"""初始化检查器
|
||||
"""
|
||||
|
||||
self.rule_matchers = []
|
||||
|
||||
for rule_matcher in rule.preregisetered_rules:
|
||||
rule_inst = rule_matcher(self.ap)
|
||||
await rule_inst.initialize()
|
||||
self.rule_matchers.append(rule_inst)
|
||||
|
||||
async def process(self, query: core_entities.Query, stage_inst_name: str) -> entities.StageProcessResult:
|
||||
|
||||
if query.launcher_type.value != 'group':
|
||||
return entities.StageProcessResult(
|
||||
result_type=entities.ResultType.CONTINUE,
|
||||
new_query=query
|
||||
)
|
||||
|
||||
rules = self.ap.pipeline_cfg.data['respond-rules']
|
||||
|
||||
use_rule = rules['default']
|
||||
|
||||
if str(query.launcher_id) in use_rule:
|
||||
use_rule = use_rule[str(query.launcher_id)]
|
||||
|
||||
for rule_matcher in self.rule_matchers: # 任意一个匹配就放行
|
||||
res = await rule_matcher.match(str(query.message_chain), query.message_chain, use_rule, query)
|
||||
if res.matching:
|
||||
query.message_chain = res.replacement
|
||||
|
||||
return entities.StageProcessResult(
|
||||
result_type=entities.ResultType.CONTINUE,
|
||||
new_query=query,
|
||||
)
|
||||
|
||||
return entities.StageProcessResult(
|
||||
result_type=entities.ResultType.INTERRUPT,
|
||||
new_query=query
|
||||
)
|
||||
@@ -1,35 +0,0 @@
|
||||
from __future__ import annotations
|
||||
|
||||
import mirai
|
||||
|
||||
from .. import rule as rule_model
|
||||
from .. import entities
|
||||
from ....core import entities as core_entities
|
||||
|
||||
|
||||
@rule_model.rule_class("at-bot")
|
||||
class AtBotRule(rule_model.GroupRespondRule):
|
||||
|
||||
async def match(
|
||||
self,
|
||||
message_text: str,
|
||||
message_chain: mirai.MessageChain,
|
||||
rule_dict: dict,
|
||||
query: core_entities.Query
|
||||
) -> entities.RuleJudgeResult:
|
||||
|
||||
if message_chain.has(mirai.At(query.adapter.bot_account_id)) and rule_dict['at']:
|
||||
message_chain.remove(mirai.At(query.adapter.bot_account_id))
|
||||
|
||||
if message_chain.has(mirai.At(query.adapter.bot_account_id)): # 回复消息时会at两次,检查并删除重复的
|
||||
message_chain.remove(mirai.At(query.adapter.bot_account_id))
|
||||
|
||||
return entities.RuleJudgeResult(
|
||||
matching=True,
|
||||
replacement=message_chain,
|
||||
)
|
||||
|
||||
return entities.RuleJudgeResult(
|
||||
matching=False,
|
||||
replacement = message_chain
|
||||
)
|
||||
@@ -1,33 +0,0 @@
|
||||
import mirai
|
||||
|
||||
from .. import rule as rule_model
|
||||
from .. import entities
|
||||
from ....core import entities as core_entities
|
||||
|
||||
|
||||
@rule_model.rule_class("prefix")
|
||||
class PrefixRule(rule_model.GroupRespondRule):
|
||||
|
||||
async def match(
|
||||
self,
|
||||
message_text: str,
|
||||
message_chain: mirai.MessageChain,
|
||||
rule_dict: dict,
|
||||
query: core_entities.Query
|
||||
) -> entities.RuleJudgeResult:
|
||||
prefixes = rule_dict['prefix']
|
||||
|
||||
for prefix in prefixes:
|
||||
if message_text.startswith(prefix):
|
||||
|
||||
return entities.RuleJudgeResult(
|
||||
matching=True,
|
||||
replacement=mirai.MessageChain([
|
||||
mirai.Plain(message_text[len(prefix):])
|
||||
]),
|
||||
)
|
||||
|
||||
return entities.RuleJudgeResult(
|
||||
matching=False,
|
||||
replacement=message_chain
|
||||
)
|
||||
@@ -1,25 +0,0 @@
|
||||
import random
|
||||
|
||||
import mirai
|
||||
|
||||
from .. import rule as rule_model
|
||||
from .. import entities
|
||||
from ....core import entities as core_entities
|
||||
|
||||
|
||||
@rule_model.rule_class("random")
|
||||
class RandomRespRule(rule_model.GroupRespondRule):
|
||||
|
||||
async def match(
|
||||
self,
|
||||
message_text: str,
|
||||
message_chain: mirai.MessageChain,
|
||||
rule_dict: dict,
|
||||
query: core_entities.Query
|
||||
) -> entities.RuleJudgeResult:
|
||||
random_rate = rule_dict['random']
|
||||
|
||||
return entities.RuleJudgeResult(
|
||||
matching=random.random() < random_rate,
|
||||
replacement=message_chain
|
||||
)
|
||||
@@ -1,71 +0,0 @@
|
||||
from __future__ import annotations
|
||||
|
||||
import pydantic
|
||||
|
||||
from ..core import app
|
||||
from . import stage
|
||||
from .resprule import resprule
|
||||
from .bansess import bansess
|
||||
from .cntfilter import cntfilter
|
||||
from .process import process
|
||||
from .longtext import longtext
|
||||
from .respback import respback
|
||||
from .wrapper import wrapper
|
||||
from .preproc import preproc
|
||||
from .ratelimit import ratelimit
|
||||
|
||||
|
||||
# 请求处理阶段顺序
|
||||
stage_order = [
|
||||
"GroupRespondRuleCheckStage",
|
||||
"BanSessionCheckStage",
|
||||
"PreContentFilterStage",
|
||||
"PreProcessor",
|
||||
"RequireRateLimitOccupancy",
|
||||
"MessageProcessor",
|
||||
"ReleaseRateLimitOccupancy",
|
||||
"PostContentFilterStage",
|
||||
"ResponseWrapper",
|
||||
"LongTextProcessStage",
|
||||
"SendResponseBackStage",
|
||||
]
|
||||
|
||||
|
||||
class StageInstContainer():
|
||||
"""阶段实例容器
|
||||
"""
|
||||
|
||||
inst_name: str
|
||||
|
||||
inst: stage.PipelineStage
|
||||
|
||||
def __init__(self, inst_name: str, inst: stage.PipelineStage):
|
||||
self.inst_name = inst_name
|
||||
self.inst = inst
|
||||
|
||||
|
||||
class StageManager:
|
||||
ap: app.Application
|
||||
|
||||
stage_containers: list[StageInstContainer]
|
||||
|
||||
def __init__(self, ap: app.Application):
|
||||
self.ap = ap
|
||||
|
||||
self.stage_containers = []
|
||||
|
||||
async def initialize(self):
|
||||
"""初始化
|
||||
"""
|
||||
|
||||
for name, cls in stage._stage_classes.items():
|
||||
self.stage_containers.append(StageInstContainer(
|
||||
inst_name=name,
|
||||
inst=cls(self.ap)
|
||||
))
|
||||
|
||||
for stage_containers in self.stage_containers:
|
||||
await stage_containers.inst.initialize()
|
||||
|
||||
# 按照 stage_order 排序
|
||||
self.stage_containers.sort(key=lambda x: stage_order.index(x.inst_name))
|
||||
@@ -1,128 +0,0 @@
|
||||
from __future__ import annotations
|
||||
|
||||
import typing
|
||||
|
||||
import mirai
|
||||
|
||||
from ...core import app, entities as core_entities
|
||||
from .. import entities
|
||||
from .. import stage, entities, stagemgr
|
||||
from ...core import entities as core_entities
|
||||
from ...config import manager as cfg_mgr
|
||||
from ...plugin import events
|
||||
|
||||
|
||||
@stage.stage_class("ResponseWrapper")
|
||||
class ResponseWrapper(stage.PipelineStage):
|
||||
|
||||
async def initialize(self):
|
||||
pass
|
||||
|
||||
async def process(
|
||||
self,
|
||||
query: core_entities.Query,
|
||||
stage_inst_name: str,
|
||||
) -> typing.AsyncGenerator[entities.StageProcessResult, None]:
|
||||
"""处理
|
||||
"""
|
||||
|
||||
if query.resp_messages[-1].role == 'command':
|
||||
query.resp_message_chain = mirai.MessageChain("[bot] "+query.resp_messages[-1].content)
|
||||
|
||||
yield entities.StageProcessResult(
|
||||
result_type=entities.ResultType.CONTINUE,
|
||||
new_query=query
|
||||
)
|
||||
elif query.resp_messages[-1].role == 'plugin':
|
||||
query.resp_message_chain = mirai.MessageChain(query.resp_messages[-1].content)
|
||||
|
||||
yield entities.StageProcessResult(
|
||||
result_type=entities.ResultType.CONTINUE,
|
||||
new_query=query
|
||||
)
|
||||
else:
|
||||
|
||||
if query.resp_messages[-1].role == 'assistant':
|
||||
result = query.resp_messages[-1]
|
||||
session = await self.ap.sess_mgr.get_session(query)
|
||||
|
||||
reply_text = ''
|
||||
|
||||
if result.content is not None: # 有内容
|
||||
reply_text = result.content
|
||||
|
||||
# ============= 触发插件事件 ===============
|
||||
event_ctx = await self.ap.plugin_mgr.emit_event(
|
||||
event=events.NormalMessageResponded(
|
||||
launcher_type=query.launcher_type.value,
|
||||
launcher_id=query.launcher_id,
|
||||
sender_id=query.sender_id,
|
||||
session=session,
|
||||
prefix='',
|
||||
response_text=reply_text,
|
||||
finish_reason='stop',
|
||||
funcs_called=[fc.function.name for fc in result.tool_calls] if result.tool_calls is not None else [],
|
||||
query=query
|
||||
)
|
||||
)
|
||||
if event_ctx.is_prevented_default():
|
||||
yield entities.StageProcessResult(
|
||||
result_type=entities.ResultType.INTERRUPT,
|
||||
new_query=query
|
||||
)
|
||||
else:
|
||||
if event_ctx.event.reply is not None:
|
||||
|
||||
query.resp_message_chain = mirai.MessageChain(event_ctx.event.reply)
|
||||
|
||||
else:
|
||||
|
||||
query.resp_message_chain = mirai.MessageChain([mirai.Plain(reply_text)])
|
||||
|
||||
yield entities.StageProcessResult(
|
||||
result_type=entities.ResultType.CONTINUE,
|
||||
new_query=query
|
||||
)
|
||||
|
||||
if result.tool_calls is not None: # 有函数调用
|
||||
|
||||
function_names = [tc.function.name for tc in result.tool_calls]
|
||||
|
||||
reply_text = f'调用函数 {".".join(function_names)}...'
|
||||
|
||||
query.resp_message_chain = mirai.MessageChain([mirai.Plain(reply_text)])
|
||||
|
||||
if self.ap.platform_cfg.data['track-function-calls']:
|
||||
|
||||
event_ctx = await self.ap.plugin_mgr.emit_event(
|
||||
event=events.NormalMessageResponded(
|
||||
launcher_type=query.launcher_type.value,
|
||||
launcher_id=query.launcher_id,
|
||||
sender_id=query.sender_id,
|
||||
session=session,
|
||||
prefix='',
|
||||
response_text=reply_text,
|
||||
finish_reason='stop',
|
||||
funcs_called=[fc.function.name for fc in result.tool_calls] if result.tool_calls is not None else [],
|
||||
query=query
|
||||
)
|
||||
)
|
||||
|
||||
if event_ctx.is_prevented_default():
|
||||
yield entities.StageProcessResult(
|
||||
result_type=entities.ResultType.INTERRUPT,
|
||||
new_query=query
|
||||
)
|
||||
else:
|
||||
if event_ctx.event.reply is not None:
|
||||
|
||||
query.resp_message_chain = mirai.MessageChain(event_ctx.event.reply)
|
||||
|
||||
else:
|
||||
|
||||
query.resp_message_chain = mirai.MessageChain([mirai.Plain(reply_text)])
|
||||
|
||||
yield entities.StageProcessResult(
|
||||
result_type=entities.ResultType.CONTINUE,
|
||||
new_query=query
|
||||
)
|
||||
@@ -1,179 +0,0 @@
|
||||
from __future__ import annotations
|
||||
|
||||
# MessageSource的适配器
|
||||
import typing
|
||||
import abc
|
||||
|
||||
import mirai
|
||||
|
||||
from ..core import app
|
||||
|
||||
|
||||
preregistered_adapters: list[typing.Type[MessageSourceAdapter]] = []
|
||||
|
||||
def adapter_class(
|
||||
name: str
|
||||
):
|
||||
"""消息平台适配器类装饰器
|
||||
|
||||
Args:
|
||||
name (str): 适配器名称
|
||||
|
||||
Returns:
|
||||
typing.Callable[[typing.Type[MessageSourceAdapter]], typing.Type[MessageSourceAdapter]]: 装饰器
|
||||
"""
|
||||
def decorator(cls: typing.Type[MessageSourceAdapter]) -> typing.Type[MessageSourceAdapter]:
|
||||
cls.name = name
|
||||
preregistered_adapters.append(cls)
|
||||
return cls
|
||||
return decorator
|
||||
|
||||
|
||||
class MessageSourceAdapter(metaclass=abc.ABCMeta):
|
||||
"""消息平台适配器基类"""
|
||||
|
||||
name: str
|
||||
|
||||
bot_account_id: int
|
||||
"""机器人账号ID,需要在初始化时设置"""
|
||||
|
||||
config: dict
|
||||
|
||||
ap: app.Application
|
||||
|
||||
def __init__(self, config: dict, ap: app.Application):
|
||||
"""初始化适配器
|
||||
|
||||
Args:
|
||||
config (dict): 对应的配置
|
||||
ap (app.Application): 应用上下文
|
||||
"""
|
||||
self.config = config
|
||||
self.ap = ap
|
||||
|
||||
async def send_message(
|
||||
self,
|
||||
target_type: str,
|
||||
target_id: str,
|
||||
message: mirai.MessageChain
|
||||
):
|
||||
"""主动发送消息
|
||||
|
||||
Args:
|
||||
target_type (str): 目标类型,`person`或`group`
|
||||
target_id (str): 目标ID
|
||||
message (mirai.MessageChain): YiriMirai库的消息链
|
||||
"""
|
||||
raise NotImplementedError
|
||||
|
||||
async def reply_message(
|
||||
self,
|
||||
message_source: mirai.MessageEvent,
|
||||
message: mirai.MessageChain,
|
||||
quote_origin: bool = False
|
||||
):
|
||||
"""回复消息
|
||||
|
||||
Args:
|
||||
message_source (mirai.MessageEvent): YiriMirai消息源事件
|
||||
message (mirai.MessageChain): YiriMirai库的消息链
|
||||
quote_origin (bool, optional): 是否引用原消息. Defaults to False.
|
||||
"""
|
||||
raise NotImplementedError
|
||||
|
||||
async def is_muted(self, group_id: int) -> bool:
|
||||
"""获取账号是否在指定群被禁言"""
|
||||
raise NotImplementedError
|
||||
|
||||
def register_listener(
|
||||
self,
|
||||
event_type: typing.Type[mirai.Event],
|
||||
callback: typing.Callable[[mirai.Event, MessageSourceAdapter], None]
|
||||
):
|
||||
"""注册事件监听器
|
||||
|
||||
Args:
|
||||
event_type (typing.Type[mirai.Event]): YiriMirai事件类型
|
||||
callback (typing.Callable[[mirai.Event], None]): 回调函数,接收一个参数,为YiriMirai事件
|
||||
"""
|
||||
raise NotImplementedError
|
||||
|
||||
def unregister_listener(
|
||||
self,
|
||||
event_type: typing.Type[mirai.Event],
|
||||
callback: typing.Callable[[mirai.Event, MessageSourceAdapter], None]
|
||||
):
|
||||
"""注销事件监听器
|
||||
|
||||
Args:
|
||||
event_type (typing.Type[mirai.Event]): YiriMirai事件类型
|
||||
callback (typing.Callable[[mirai.Event], None]): 回调函数,接收一个参数,为YiriMirai事件
|
||||
"""
|
||||
raise NotImplementedError
|
||||
|
||||
async def run_async(self):
|
||||
"""异步运行"""
|
||||
raise NotImplementedError
|
||||
|
||||
async def kill(self) -> bool:
|
||||
"""关闭适配器
|
||||
|
||||
Returns:
|
||||
bool: 是否成功关闭,热重载时若此函数返回False则不会重载MessageSource底层
|
||||
"""
|
||||
raise NotImplementedError
|
||||
|
||||
|
||||
class MessageConverter:
|
||||
"""消息链转换器基类"""
|
||||
@staticmethod
|
||||
def yiri2target(message_chain: mirai.MessageChain):
|
||||
"""将YiriMirai消息链转换为目标消息链
|
||||
|
||||
Args:
|
||||
message_chain (mirai.MessageChain): YiriMirai消息链
|
||||
|
||||
Returns:
|
||||
typing.Any: 目标消息链
|
||||
"""
|
||||
raise NotImplementedError
|
||||
|
||||
@staticmethod
|
||||
def target2yiri(message_chain: typing.Any) -> mirai.MessageChain:
|
||||
"""将目标消息链转换为YiriMirai消息链
|
||||
|
||||
Args:
|
||||
message_chain (typing.Any): 目标消息链
|
||||
|
||||
Returns:
|
||||
mirai.MessageChain: YiriMirai消息链
|
||||
"""
|
||||
raise NotImplementedError
|
||||
|
||||
|
||||
class EventConverter:
|
||||
"""事件转换器基类"""
|
||||
|
||||
@staticmethod
|
||||
def yiri2target(event: typing.Type[mirai.Event]):
|
||||
"""将YiriMirai事件转换为目标事件
|
||||
|
||||
Args:
|
||||
event (typing.Type[mirai.Event]): YiriMirai事件
|
||||
|
||||
Returns:
|
||||
typing.Any: 目标事件
|
||||
"""
|
||||
raise NotImplementedError
|
||||
|
||||
@staticmethod
|
||||
def target2yiri(event: typing.Any) -> mirai.Event:
|
||||
"""将目标事件的调用参数转换为YiriMirai的事件参数对象
|
||||
|
||||
Args:
|
||||
event (typing.Any): 目标事件
|
||||
|
||||
Returns:
|
||||
typing.Type[mirai.Event]: YiriMirai事件
|
||||
"""
|
||||
raise NotImplementedError
|
||||
@@ -1,185 +0,0 @@
|
||||
from __future__ import annotations
|
||||
|
||||
import json
|
||||
import os
|
||||
import logging
|
||||
import asyncio
|
||||
import traceback
|
||||
|
||||
from mirai import At, GroupMessage, MessageEvent, StrangerMessage, \
|
||||
FriendMessage, Image, MessageChain, Plain
|
||||
import mirai
|
||||
from ..platform import adapter as msadapter
|
||||
|
||||
from ..core import app, entities as core_entities
|
||||
from ..plugin import events
|
||||
|
||||
# 控制QQ消息输入输出的类
|
||||
class PlatformManager:
|
||||
|
||||
# adapter: msadapter.MessageSourceAdapter = None
|
||||
adapters: list[msadapter.MessageSourceAdapter] = []
|
||||
|
||||
# modern
|
||||
ap: app.Application = None
|
||||
|
||||
def __init__(self, ap: app.Application = None):
|
||||
|
||||
self.ap = ap
|
||||
self.adapters = []
|
||||
|
||||
async def initialize(self):
|
||||
|
||||
from .sources import yirimirai, nakuru, aiocqhttp, qqbotpy
|
||||
|
||||
async def on_friend_message(event: FriendMessage, adapter: msadapter.MessageSourceAdapter):
|
||||
|
||||
event_ctx = await self.ap.plugin_mgr.emit_event(
|
||||
event=events.PersonMessageReceived(
|
||||
launcher_type='person',
|
||||
launcher_id=event.sender.id,
|
||||
sender_id=event.sender.id,
|
||||
message_chain=event.message_chain,
|
||||
query=None
|
||||
)
|
||||
)
|
||||
|
||||
if not event_ctx.is_prevented_default():
|
||||
|
||||
await self.ap.query_pool.add_query(
|
||||
launcher_type=core_entities.LauncherTypes.PERSON,
|
||||
launcher_id=event.sender.id,
|
||||
sender_id=event.sender.id,
|
||||
message_event=event,
|
||||
message_chain=event.message_chain,
|
||||
adapter=adapter
|
||||
)
|
||||
|
||||
async def on_stranger_message(event: StrangerMessage, adapter: msadapter.MessageSourceAdapter):
|
||||
|
||||
event_ctx = await self.ap.plugin_mgr.emit_event(
|
||||
event=events.PersonMessageReceived(
|
||||
launcher_type='person',
|
||||
launcher_id=event.sender.id,
|
||||
sender_id=event.sender.id,
|
||||
message_chain=event.message_chain,
|
||||
query=None
|
||||
)
|
||||
)
|
||||
|
||||
if not event_ctx.is_prevented_default():
|
||||
|
||||
await self.ap.query_pool.add_query(
|
||||
launcher_type=core_entities.LauncherTypes.PERSON,
|
||||
launcher_id=event.sender.id,
|
||||
sender_id=event.sender.id,
|
||||
message_event=event,
|
||||
message_chain=event.message_chain,
|
||||
adapter=adapter
|
||||
)
|
||||
|
||||
async def on_group_message(event: GroupMessage, adapter: msadapter.MessageSourceAdapter):
|
||||
|
||||
event_ctx = await self.ap.plugin_mgr.emit_event(
|
||||
event=events.GroupMessageReceived(
|
||||
launcher_type='person',
|
||||
launcher_id=event.sender.id,
|
||||
sender_id=event.sender.id,
|
||||
message_chain=event.message_chain,
|
||||
query=None
|
||||
)
|
||||
)
|
||||
|
||||
if not event_ctx.is_prevented_default():
|
||||
|
||||
await self.ap.query_pool.add_query(
|
||||
launcher_type=core_entities.LauncherTypes.GROUP,
|
||||
launcher_id=event.group.id,
|
||||
sender_id=event.sender.id,
|
||||
message_event=event,
|
||||
message_chain=event.message_chain,
|
||||
adapter=adapter
|
||||
)
|
||||
|
||||
index = 0
|
||||
|
||||
for adap_cfg in self.ap.platform_cfg.data['platform-adapters']:
|
||||
if adap_cfg['enable']:
|
||||
self.ap.logger.info(f'初始化平台适配器 {index}: {adap_cfg["adapter"]}')
|
||||
index += 1
|
||||
cfg_copy = adap_cfg.copy()
|
||||
del cfg_copy['enable']
|
||||
adapter_name = cfg_copy['adapter']
|
||||
del cfg_copy['adapter']
|
||||
|
||||
found = False
|
||||
|
||||
for adapter in msadapter.preregistered_adapters:
|
||||
if adapter.name == adapter_name:
|
||||
found = True
|
||||
adapter_cls = adapter
|
||||
|
||||
adapter_inst = adapter_cls(
|
||||
cfg_copy,
|
||||
self.ap
|
||||
)
|
||||
self.adapters.append(adapter_inst)
|
||||
|
||||
if adapter_name == 'yiri-mirai':
|
||||
adapter_inst.register_listener(
|
||||
StrangerMessage,
|
||||
on_stranger_message
|
||||
)
|
||||
|
||||
adapter_inst.register_listener(
|
||||
FriendMessage,
|
||||
on_friend_message
|
||||
)
|
||||
adapter_inst.register_listener(
|
||||
GroupMessage,
|
||||
on_group_message
|
||||
)
|
||||
|
||||
if not found:
|
||||
raise Exception('platform.json 中启用了未知的平台适配器: ' + adapter_name)
|
||||
|
||||
if len(self.adapters) == 0:
|
||||
self.ap.logger.warning('未运行平台适配器,请根据文档配置并启用平台适配器。')
|
||||
|
||||
async def send(self, event: mirai.MessageEvent, msg: mirai.MessageChain, adapter: msadapter.MessageSourceAdapter, check_quote=True, check_at_sender=True):
|
||||
|
||||
if check_at_sender and self.ap.platform_cfg.data['at-sender'] and isinstance(event, GroupMessage):
|
||||
|
||||
msg.insert(
|
||||
0,
|
||||
At(
|
||||
event.sender.id
|
||||
)
|
||||
)
|
||||
|
||||
await adapter.reply_message(
|
||||
event,
|
||||
msg,
|
||||
quote_origin=True if self.ap.platform_cfg.data['quote-origin'] and check_quote else False
|
||||
)
|
||||
|
||||
async def run(self):
|
||||
try:
|
||||
tasks = []
|
||||
for adapter in self.adapters:
|
||||
async def exception_wrapper(adapter):
|
||||
try:
|
||||
await adapter.run_async()
|
||||
except Exception as e:
|
||||
self.ap.logger.error('平台适配器运行出错: ' + str(e))
|
||||
self.ap.logger.debug(f"Traceback: {traceback.format_exc()}")
|
||||
|
||||
tasks.append(exception_wrapper(adapter))
|
||||
|
||||
for task in tasks:
|
||||
asyncio.create_task(task)
|
||||
|
||||
except Exception as e:
|
||||
self.ap.logger.error('平台适配器运行出错: ' + str(e))
|
||||
self.ap.logger.debug(f"Traceback: {traceback.format_exc()}")
|
||||
|
||||
@@ -1,281 +0,0 @@
|
||||
from __future__ import annotations
|
||||
import typing
|
||||
import asyncio
|
||||
import traceback
|
||||
import time
|
||||
import datetime
|
||||
|
||||
import mirai
|
||||
import mirai.models.message as yiri_message
|
||||
import aiocqhttp
|
||||
|
||||
from .. import adapter
|
||||
from ...pipeline.longtext.strategies import forward
|
||||
from ...core import app
|
||||
|
||||
|
||||
class AiocqhttpMessageConverter(adapter.MessageConverter):
|
||||
|
||||
@staticmethod
|
||||
def yiri2target(message_chain: mirai.MessageChain) -> typing.Tuple[list, int, datetime.datetime]:
|
||||
msg_list = aiocqhttp.Message()
|
||||
|
||||
msg_id = 0
|
||||
msg_time = None
|
||||
|
||||
for msg in message_chain:
|
||||
if type(msg) is mirai.Plain:
|
||||
msg_list.append(aiocqhttp.MessageSegment.text(msg.text))
|
||||
elif type(msg) is yiri_message.Source:
|
||||
msg_id = msg.id
|
||||
msg_time = msg.time
|
||||
elif type(msg) is mirai.Image:
|
||||
msg_list.append(aiocqhttp.MessageSegment.image(msg.path))
|
||||
elif type(msg) is mirai.At:
|
||||
msg_list.append(aiocqhttp.MessageSegment.at(msg.target))
|
||||
elif type(msg) is mirai.AtAll:
|
||||
msg_list.append(aiocqhttp.MessageSegment.at("all"))
|
||||
elif type(msg) is mirai.Face:
|
||||
msg_list.append(aiocqhttp.MessageSegment.face(msg.face_id))
|
||||
elif type(msg) is mirai.Voice:
|
||||
msg_list.append(aiocqhttp.MessageSegment.record(msg.path))
|
||||
elif type(msg) is forward.Forward:
|
||||
|
||||
for node in msg.node_list:
|
||||
msg_list.extend(AiocqhttpMessageConverter.yiri2target(node.message_chain)[0])
|
||||
|
||||
else:
|
||||
msg_list.append(aiocqhttp.MessageSegment.text(str(msg)))
|
||||
|
||||
return msg_list, msg_id, msg_time
|
||||
|
||||
@staticmethod
|
||||
def target2yiri(message: str, message_id: int = -1):
|
||||
message = aiocqhttp.Message(message)
|
||||
|
||||
yiri_msg_list = []
|
||||
|
||||
yiri_msg_list.append(
|
||||
yiri_message.Source(id=message_id, time=datetime.datetime.now())
|
||||
)
|
||||
|
||||
for msg in message:
|
||||
if msg.type == "at":
|
||||
if msg.data["qq"] == "all":
|
||||
yiri_msg_list.append(yiri_message.AtAll())
|
||||
else:
|
||||
yiri_msg_list.append(
|
||||
yiri_message.At(
|
||||
target=msg.data["qq"],
|
||||
)
|
||||
)
|
||||
elif msg.type == "text":
|
||||
yiri_msg_list.append(yiri_message.Plain(text=msg.data["text"]))
|
||||
elif msg.type == "image":
|
||||
yiri_msg_list.append(yiri_message.Image(url=msg.data["url"]))
|
||||
|
||||
chain = mirai.MessageChain(yiri_msg_list)
|
||||
|
||||
return chain
|
||||
|
||||
|
||||
class AiocqhttpEventConverter(adapter.EventConverter):
|
||||
|
||||
@staticmethod
|
||||
def yiri2target(event: mirai.Event, bot_account_id: int):
|
||||
|
||||
msg, msg_id, msg_time = AiocqhttpMessageConverter.yiri2target(event.message_chain)
|
||||
|
||||
if type(event) is mirai.GroupMessage:
|
||||
role = "member"
|
||||
|
||||
if event.sender.permission == "ADMINISTRATOR":
|
||||
role = "admin"
|
||||
elif event.sender.permission == "OWNER":
|
||||
role = "owner"
|
||||
|
||||
payload = {
|
||||
"post_type": "message",
|
||||
"message_type": "group",
|
||||
"time": int(msg_time.timestamp()),
|
||||
"self_id": bot_account_id,
|
||||
"sub_type": "normal",
|
||||
"anonymous": None,
|
||||
"font": 0,
|
||||
"message": str(msg),
|
||||
"raw_message": str(msg),
|
||||
"sender": {
|
||||
"age": 0,
|
||||
"area": "",
|
||||
"card": "",
|
||||
"level": "",
|
||||
"nickname": event.sender.member_name,
|
||||
"role": role,
|
||||
"sex": "unknown",
|
||||
"title": "",
|
||||
"user_id": event.sender.id,
|
||||
},
|
||||
"user_id": event.sender.id,
|
||||
"message_id": msg_id,
|
||||
"group_id": event.group.id,
|
||||
"message_seq": 0,
|
||||
}
|
||||
|
||||
return aiocqhttp.Event.from_payload(payload)
|
||||
elif type(event) is mirai.FriendMessage:
|
||||
|
||||
payload = {
|
||||
"post_type": "message",
|
||||
"message_type": "private",
|
||||
"time": int(msg_time.timestamp()),
|
||||
"self_id": bot_account_id,
|
||||
"sub_type": "friend",
|
||||
"target_id": bot_account_id,
|
||||
"message": str(msg),
|
||||
"raw_message": str(msg),
|
||||
"font": 0,
|
||||
"sender": {
|
||||
"age": 0,
|
||||
"nickname": event.sender.nickname,
|
||||
"sex": "unknown",
|
||||
"user_id": event.sender.id,
|
||||
},
|
||||
"message_id": msg_id,
|
||||
"user_id": event.sender.id,
|
||||
}
|
||||
|
||||
return aiocqhttp.Event.from_payload(payload)
|
||||
|
||||
@staticmethod
|
||||
def target2yiri(event: aiocqhttp.Event):
|
||||
yiri_chain = AiocqhttpMessageConverter.target2yiri(
|
||||
event.message, event.message_id
|
||||
)
|
||||
|
||||
if event.message_type == "group":
|
||||
permission = "MEMBER"
|
||||
|
||||
if event.sender["role"] == "admin":
|
||||
permission = "ADMINISTRATOR"
|
||||
elif event.sender["role"] == "owner":
|
||||
permission = "OWNER"
|
||||
converted_event = mirai.GroupMessage(
|
||||
sender=mirai.models.entities.GroupMember(
|
||||
id=event.sender["user_id"], # message_seq 放哪?
|
||||
member_name=event.sender["nickname"],
|
||||
permission=permission,
|
||||
group=mirai.models.entities.Group(
|
||||
id=event.group_id,
|
||||
name=event.sender["nickname"],
|
||||
permission=mirai.models.entities.Permission.Member,
|
||||
),
|
||||
special_title=event.sender["title"] if "title" in event.sender else "",
|
||||
join_timestamp=0,
|
||||
last_speak_timestamp=0,
|
||||
mute_time_remaining=0,
|
||||
),
|
||||
message_chain=yiri_chain,
|
||||
time=event.time,
|
||||
)
|
||||
return converted_event
|
||||
elif event.message_type == "private":
|
||||
return mirai.FriendMessage(
|
||||
sender=mirai.models.entities.Friend(
|
||||
id=event.sender["user_id"],
|
||||
nickname=event.sender["nickname"],
|
||||
remark="",
|
||||
),
|
||||
message_chain=yiri_chain,
|
||||
time=event.time,
|
||||
)
|
||||
|
||||
|
||||
@adapter.adapter_class("aiocqhttp")
|
||||
class AiocqhttpAdapter(adapter.MessageSourceAdapter):
|
||||
|
||||
bot: aiocqhttp.CQHttp
|
||||
|
||||
bot_account_id: int
|
||||
|
||||
message_converter: AiocqhttpMessageConverter = AiocqhttpMessageConverter()
|
||||
event_converter: AiocqhttpEventConverter = AiocqhttpEventConverter()
|
||||
|
||||
config: dict
|
||||
|
||||
ap: app.Application
|
||||
|
||||
def __init__(self, config: dict, ap: app.Application):
|
||||
self.config = config
|
||||
|
||||
async def shutdown_trigger_placeholder():
|
||||
while True:
|
||||
await asyncio.sleep(1)
|
||||
|
||||
self.config['shutdown_trigger'] = shutdown_trigger_placeholder
|
||||
|
||||
self.ap = ap
|
||||
|
||||
if "access-token" in config:
|
||||
self.bot = aiocqhttp.CQHttp(access_token=config["access-token"])
|
||||
del self.config["access-token"]
|
||||
else:
|
||||
self.bot = aiocqhttp.CQHttp()
|
||||
|
||||
async def send_message(
|
||||
self, target_type: str, target_id: str, message: mirai.MessageChain
|
||||
):
|
||||
aiocq_msg = AiocqhttpMessageConverter.yiri2target(message)[0]
|
||||
|
||||
if target_type == "group":
|
||||
await self.bot.send_group_msg(group_id=int(target_id), message=aiocq_msg)
|
||||
elif target_type == "person":
|
||||
await self.bot.send_private_msg(user_id=int(target_id), message=aiocq_msg)
|
||||
|
||||
async def reply_message(
|
||||
self,
|
||||
message_source: mirai.MessageEvent,
|
||||
message: mirai.MessageChain,
|
||||
quote_origin: bool = False,
|
||||
):
|
||||
aiocq_event = AiocqhttpEventConverter.yiri2target(message_source, self.bot_account_id)
|
||||
aiocq_msg = AiocqhttpMessageConverter.yiri2target(message)[0]
|
||||
if quote_origin:
|
||||
aiocq_msg = aiocqhttp.MessageSegment.reply(aiocq_event.message_id) + aiocq_msg
|
||||
|
||||
return await self.bot.send(
|
||||
aiocq_event,
|
||||
aiocq_msg
|
||||
)
|
||||
|
||||
async def is_muted(self, group_id: int) -> bool:
|
||||
return False
|
||||
|
||||
def register_listener(
|
||||
self,
|
||||
event_type: typing.Type[mirai.Event],
|
||||
callback: typing.Callable[[mirai.Event, adapter.MessageSourceAdapter], None],
|
||||
):
|
||||
async def on_message(event: aiocqhttp.Event):
|
||||
self.bot_account_id = event.self_id
|
||||
try:
|
||||
return await callback(self.event_converter.target2yiri(event), self)
|
||||
except:
|
||||
traceback.print_exc()
|
||||
|
||||
if event_type == mirai.GroupMessage:
|
||||
self.bot.on_message("group")(on_message)
|
||||
elif event_type == mirai.FriendMessage:
|
||||
self.bot.on_message("private")(on_message)
|
||||
|
||||
def unregister_listener(
|
||||
self,
|
||||
event_type: typing.Type[mirai.Event],
|
||||
callback: typing.Callable[[mirai.Event, adapter.MessageSourceAdapter], None],
|
||||
):
|
||||
return super().unregister_listener(event_type, callback)
|
||||
|
||||
async def run_async(self):
|
||||
await self.bot._server_app.run_task(**self.config)
|
||||
|
||||
async def kill(self) -> bool:
|
||||
return False
|
||||
@@ -1,530 +0,0 @@
|
||||
from __future__ import annotations
|
||||
|
||||
import logging
|
||||
import typing
|
||||
import datetime
|
||||
import asyncio
|
||||
import re
|
||||
import traceback
|
||||
import json
|
||||
import threading
|
||||
|
||||
import mirai
|
||||
import botpy
|
||||
import botpy.message as botpy_message
|
||||
import botpy.types.message as botpy_message_type
|
||||
|
||||
from .. import adapter as adapter_model
|
||||
from ...pipeline.longtext.strategies import forward
|
||||
from ...core import app
|
||||
from ...config import manager as cfg_mgr
|
||||
|
||||
|
||||
class OfficialGroupMessage(mirai.GroupMessage):
|
||||
pass
|
||||
|
||||
|
||||
event_handler_mapping = {
|
||||
mirai.GroupMessage: ["on_at_message_create", "on_group_at_message_create"],
|
||||
mirai.FriendMessage: ["on_direct_message_create"],
|
||||
}
|
||||
|
||||
|
||||
cached_message_ids = {}
|
||||
"""由于QQ官方的消息id是字符串,而YiriMirai的消息id是整数,所以需要一个索引来进行转换"""
|
||||
|
||||
id_index = 0
|
||||
|
||||
|
||||
def save_msg_id(message_id: str) -> int:
|
||||
"""保存消息id"""
|
||||
global id_index, cached_message_ids
|
||||
|
||||
crt_index = id_index
|
||||
id_index += 1
|
||||
cached_message_ids[str(crt_index)] = message_id
|
||||
return crt_index
|
||||
|
||||
|
||||
def char_to_value(char):
|
||||
"""将单个字符转换为相应的数值。"""
|
||||
if '0' <= char <= '9':
|
||||
return ord(char) - ord('0')
|
||||
elif 'A' <= char <= 'Z':
|
||||
return ord(char) - ord('A') + 10
|
||||
|
||||
return ord(char) - ord('a') + 36
|
||||
|
||||
def digest(s: str) -> int:
|
||||
"""计算字符串的hash值。"""
|
||||
# 取末尾的8位
|
||||
sub_s = s[-10:]
|
||||
|
||||
number = 0
|
||||
base = 36
|
||||
|
||||
for i in range(len(sub_s)):
|
||||
number = number * base + char_to_value(sub_s[i])
|
||||
|
||||
return number
|
||||
|
||||
K = typing.TypeVar("K")
|
||||
V = typing.TypeVar("V")
|
||||
|
||||
|
||||
class OpenIDMapping(typing.Generic[K, V]):
|
||||
|
||||
map: dict[K, V]
|
||||
|
||||
dump_func: typing.Callable
|
||||
|
||||
digest_func: typing.Callable[[K], V]
|
||||
|
||||
def __init__(self, map: dict[K, V], dump_func: typing.Callable, digest_func: typing.Callable[[K], V] = digest):
|
||||
self.map = map
|
||||
|
||||
self.dump_func = dump_func
|
||||
|
||||
self.digest_func = digest_func
|
||||
|
||||
def __getitem__(self, key: K) -> V:
|
||||
return self.map[key]
|
||||
|
||||
def __setitem__(self, key: K, value: V):
|
||||
self.map[key] = value
|
||||
self.dump_func()
|
||||
|
||||
def __contains__(self, key: K) -> bool:
|
||||
return key in self.map
|
||||
|
||||
def __delitem__(self, key: K):
|
||||
del self.map[key]
|
||||
self.dump_func()
|
||||
|
||||
def getkey(self, value: V) -> K:
|
||||
return list(self.map.keys())[list(self.map.values()).index(value)]
|
||||
|
||||
def save_openid(self, key: K) -> V:
|
||||
|
||||
if key in self.map:
|
||||
return self.map[key]
|
||||
|
||||
value = self.digest_func(key)
|
||||
|
||||
self.map[key] = value
|
||||
|
||||
self.dump_func()
|
||||
|
||||
return value
|
||||
|
||||
|
||||
class OfficialMessageConverter(adapter_model.MessageConverter):
|
||||
"""QQ 官方消息转换器"""
|
||||
|
||||
@staticmethod
|
||||
def yiri2target(message_chain: mirai.MessageChain):
|
||||
"""将 YiriMirai 的消息链转换为 QQ 官方消息"""
|
||||
|
||||
msg_list = []
|
||||
if type(message_chain) is mirai.MessageChain:
|
||||
msg_list = message_chain.__root__
|
||||
elif type(message_chain) is list:
|
||||
msg_list = message_chain
|
||||
elif type(message_chain) is str:
|
||||
msg_list = [mirai.Plain(text=message_chain)]
|
||||
else:
|
||||
raise Exception(
|
||||
"Unknown message type: " + str(message_chain) + str(type(message_chain))
|
||||
)
|
||||
|
||||
offcial_messages: list[dict] = []
|
||||
"""
|
||||
{
|
||||
"type": "text",
|
||||
"content": "Hello World!"
|
||||
}
|
||||
|
||||
{
|
||||
"type": "image",
|
||||
"content": "https://example.com/example.jpg"
|
||||
}
|
||||
"""
|
||||
|
||||
# 遍历并转换
|
||||
for component in msg_list:
|
||||
if type(component) is mirai.Plain:
|
||||
offcial_messages.append({"type": "text", "content": component.text})
|
||||
elif type(component) is mirai.Image:
|
||||
if component.url is not None:
|
||||
offcial_messages.append({"type": "image", "content": component.url})
|
||||
elif component.path is not None:
|
||||
offcial_messages.append(
|
||||
{"type": "file_image", "content": component.path}
|
||||
)
|
||||
elif type(component) is mirai.At:
|
||||
offcial_messages.append({"type": "at", "content": ""})
|
||||
elif type(component) is mirai.AtAll:
|
||||
print(
|
||||
"上层组件要求发送 AtAll 消息,但 QQ 官方 API 不支持此消息类型,忽略此消息。"
|
||||
)
|
||||
elif type(component) is mirai.Voice:
|
||||
print(
|
||||
"上层组件要求发送 Voice 消息,但 QQ 官方 API 不支持此消息类型,忽略此消息。"
|
||||
)
|
||||
elif type(component) is forward.Forward:
|
||||
# 转发消息
|
||||
yiri_forward_node_list = component.node_list
|
||||
|
||||
# 遍历并转换
|
||||
for yiri_forward_node in yiri_forward_node_list:
|
||||
try:
|
||||
message_chain = yiri_forward_node.message_chain
|
||||
|
||||
# 平铺
|
||||
offcial_messages.extend(
|
||||
OfficialMessageConverter.yiri2target(message_chain)
|
||||
)
|
||||
except Exception as e:
|
||||
import traceback
|
||||
|
||||
traceback.print_exc()
|
||||
|
||||
return offcial_messages
|
||||
|
||||
@staticmethod
|
||||
def extract_message_chain_from_obj(
|
||||
message: typing.Union[botpy_message.Message, botpy_message.DirectMessage],
|
||||
message_id: str = None,
|
||||
bot_account_id: int = 0,
|
||||
) -> mirai.MessageChain:
|
||||
yiri_msg_list = []
|
||||
|
||||
# 存id
|
||||
|
||||
yiri_msg_list.append(
|
||||
mirai.models.message.Source(
|
||||
id=save_msg_id(message_id), time=datetime.datetime.now()
|
||||
)
|
||||
)
|
||||
|
||||
if type(message) is not botpy_message.DirectMessage:
|
||||
yiri_msg_list.append(mirai.At(target=bot_account_id))
|
||||
|
||||
if hasattr(message, "mentions"):
|
||||
for mention in message.mentions:
|
||||
if mention.bot:
|
||||
continue
|
||||
|
||||
yiri_msg_list.append(mirai.At(target=mention.id))
|
||||
|
||||
for attachment in message.attachments:
|
||||
if attachment.content_type == "image":
|
||||
yiri_msg_list.append(mirai.Image(url=attachment.url))
|
||||
else:
|
||||
logging.warning(
|
||||
"不支持的附件类型:" + attachment.content_type + ",忽略此附件。"
|
||||
)
|
||||
|
||||
content = re.sub(r"<@!\d+>", "", str(message.content))
|
||||
if content.strip() != "":
|
||||
yiri_msg_list.append(mirai.Plain(text=content))
|
||||
|
||||
chain = mirai.MessageChain(yiri_msg_list)
|
||||
|
||||
return chain
|
||||
|
||||
|
||||
class OfficialEventConverter(adapter_model.EventConverter):
|
||||
"""事件转换器"""
|
||||
|
||||
member_openid_mapping: OpenIDMapping[str, int]
|
||||
group_openid_mapping: OpenIDMapping[str, int]
|
||||
|
||||
def __init__(self, member_openid_mapping: OpenIDMapping[str, int], group_openid_mapping: OpenIDMapping[str, int]):
|
||||
self.member_openid_mapping = member_openid_mapping
|
||||
self.group_openid_mapping = group_openid_mapping
|
||||
|
||||
def yiri2target(self, event: typing.Type[mirai.Event]):
|
||||
if event == mirai.GroupMessage:
|
||||
return botpy_message.Message
|
||||
elif event == mirai.FriendMessage:
|
||||
return botpy_message.DirectMessage
|
||||
else:
|
||||
raise Exception(
|
||||
"未支持转换的事件类型(YiriMirai -> Official): " + str(event)
|
||||
)
|
||||
|
||||
def target2yiri(
|
||||
self,
|
||||
event: typing.Union[botpy_message.Message, botpy_message.DirectMessage]
|
||||
) -> mirai.Event:
|
||||
import mirai.models.entities as mirai_entities
|
||||
|
||||
if type(event) == botpy_message.Message: # 频道内,转群聊事件
|
||||
permission = "MEMBER"
|
||||
|
||||
if "2" in event.member.roles:
|
||||
permission = "ADMINISTRATOR"
|
||||
elif "4" in event.member.roles:
|
||||
permission = "OWNER"
|
||||
|
||||
return mirai.GroupMessage(
|
||||
sender=mirai_entities.GroupMember(
|
||||
id=event.author.id,
|
||||
member_name=event.author.username,
|
||||
permission=permission,
|
||||
group=mirai_entities.Group(
|
||||
id=event.channel_id,
|
||||
name=event.author.username,
|
||||
permission=mirai_entities.Permission.Member,
|
||||
),
|
||||
special_title="",
|
||||
join_timestamp=int(
|
||||
datetime.datetime.strptime(
|
||||
event.member.joined_at, "%Y-%m-%dT%H:%M:%S%z"
|
||||
).timestamp()
|
||||
),
|
||||
last_speak_timestamp=datetime.datetime.now().timestamp(),
|
||||
mute_time_remaining=0,
|
||||
),
|
||||
message_chain=OfficialMessageConverter.extract_message_chain_from_obj(
|
||||
event, event.id
|
||||
),
|
||||
time=int(
|
||||
datetime.datetime.strptime(
|
||||
event.timestamp, "%Y-%m-%dT%H:%M:%S%z"
|
||||
).timestamp()
|
||||
),
|
||||
)
|
||||
elif type(event) == botpy_message.DirectMessage: # 私聊,转私聊事件
|
||||
return mirai.FriendMessage(
|
||||
sender=mirai_entities.Friend(
|
||||
id=event.guild_id,
|
||||
nickname=event.author.username,
|
||||
remark=event.author.username,
|
||||
),
|
||||
message_chain=OfficialMessageConverter.extract_message_chain_from_obj(
|
||||
event, event.id
|
||||
),
|
||||
time=int(
|
||||
datetime.datetime.strptime(
|
||||
event.timestamp, "%Y-%m-%dT%H:%M:%S%z"
|
||||
).timestamp()
|
||||
),
|
||||
)
|
||||
elif type(event) == botpy_message.GroupMessage:
|
||||
|
||||
replacing_member_id = self.member_openid_mapping.save_openid(event.author.member_openid)
|
||||
|
||||
return OfficialGroupMessage(
|
||||
sender=mirai_entities.GroupMember(
|
||||
id=replacing_member_id,
|
||||
member_name=replacing_member_id,
|
||||
permission="MEMBER",
|
||||
group=mirai_entities.Group(
|
||||
id=self.group_openid_mapping.save_openid(event.group_openid),
|
||||
name=replacing_member_id,
|
||||
permission=mirai_entities.Permission.Member,
|
||||
),
|
||||
special_title="",
|
||||
join_timestamp=int(0),
|
||||
last_speak_timestamp=datetime.datetime.now().timestamp(),
|
||||
mute_time_remaining=0,
|
||||
),
|
||||
message_chain=OfficialMessageConverter.extract_message_chain_from_obj(
|
||||
event, event.id
|
||||
),
|
||||
time=int(
|
||||
datetime.datetime.strptime(
|
||||
event.timestamp, "%Y-%m-%dT%H:%M:%S%z"
|
||||
).timestamp()
|
||||
),
|
||||
)
|
||||
|
||||
|
||||
@adapter_model.adapter_class("qq-botpy")
|
||||
class OfficialAdapter(adapter_model.MessageSourceAdapter):
|
||||
"""QQ 官方消息适配器"""
|
||||
|
||||
bot: botpy.Client = None
|
||||
|
||||
bot_account_id: int = 0
|
||||
|
||||
message_converter: OfficialMessageConverter
|
||||
event_converter: OfficialEventConverter
|
||||
|
||||
cfg: dict = None
|
||||
|
||||
cached_official_messages: dict = {}
|
||||
"""缓存的 qq-botpy 框架消息对象
|
||||
|
||||
message_id: botpy_message.Message | botpy_message.DirectMessage
|
||||
"""
|
||||
|
||||
ap: app.Application
|
||||
|
||||
metadata: cfg_mgr.ConfigManager = None
|
||||
|
||||
member_openid_mapping: OpenIDMapping[str, int] = None
|
||||
group_openid_mapping: OpenIDMapping[str, int] = None
|
||||
|
||||
def __init__(self, cfg: dict, ap: app.Application):
|
||||
"""初始化适配器"""
|
||||
self.cfg = cfg
|
||||
self.ap = ap
|
||||
|
||||
switchs = {}
|
||||
|
||||
for intent in cfg["intents"]:
|
||||
switchs[intent] = True
|
||||
|
||||
del cfg["intents"]
|
||||
|
||||
intents = botpy.Intents(**switchs)
|
||||
|
||||
self.bot = botpy.Client(intents=intents)
|
||||
|
||||
async def send_message(
|
||||
self, target_type: str, target_id: str, message: mirai.MessageChain
|
||||
):
|
||||
message_list = self.message_converter.yiri2target(message)
|
||||
|
||||
for msg in message_list:
|
||||
args = {}
|
||||
|
||||
if msg["type"] == "text":
|
||||
args["content"] = msg["content"]
|
||||
elif msg["type"] == "image":
|
||||
args["image"] = msg["content"]
|
||||
elif msg["type"] == "file_image":
|
||||
args["file_image"] = msg["content"]
|
||||
else:
|
||||
continue
|
||||
|
||||
if target_type == "group":
|
||||
args["channel_id"] = str(target_id)
|
||||
|
||||
await self.bot.api.post_message(**args)
|
||||
elif target_type == "person":
|
||||
args["guild_id"] = str(target_id)
|
||||
|
||||
await self.bot.api.post_dms(**args)
|
||||
|
||||
async def reply_message(
|
||||
self,
|
||||
message_source: mirai.MessageEvent,
|
||||
message: mirai.MessageChain,
|
||||
quote_origin: bool = False,
|
||||
):
|
||||
|
||||
message_list = self.message_converter.yiri2target(message)
|
||||
|
||||
msg_seq = 1
|
||||
|
||||
for msg in message_list:
|
||||
args = {}
|
||||
|
||||
if msg["type"] == "text":
|
||||
args["content"] = msg["content"]
|
||||
elif msg["type"] == "image":
|
||||
args["image"] = msg["content"]
|
||||
elif msg["type"] == "file_image":
|
||||
args["file_image"] = msg["content"]
|
||||
else:
|
||||
continue
|
||||
|
||||
if quote_origin:
|
||||
args["message_reference"] = botpy_message_type.Reference(
|
||||
message_id=cached_message_ids[
|
||||
str(message_source.message_chain.message_id)
|
||||
]
|
||||
)
|
||||
|
||||
if type(message_source) == mirai.GroupMessage:
|
||||
args["channel_id"] = str(message_source.sender.group.id)
|
||||
args["msg_id"] = cached_message_ids[
|
||||
str(message_source.message_chain.message_id)
|
||||
]
|
||||
await self.bot.api.post_message(**args)
|
||||
elif type(message_source) == mirai.FriendMessage:
|
||||
args["guild_id"] = str(message_source.sender.id)
|
||||
args["msg_id"] = cached_message_ids[
|
||||
str(message_source.message_chain.message_id)
|
||||
]
|
||||
await self.bot.api.post_dms(**args)
|
||||
elif type(message_source) == OfficialGroupMessage:
|
||||
if "image" in args or "file_image" in args:
|
||||
continue
|
||||
args["group_openid"] = self.group_openid_mapping.getkey(
|
||||
message_source.sender.group.id
|
||||
)
|
||||
|
||||
args["msg_id"] = cached_message_ids[
|
||||
str(message_source.message_chain.message_id)
|
||||
]
|
||||
args["msg_seq"] = msg_seq
|
||||
msg_seq += 1
|
||||
await self.bot.api.post_group_message(**args)
|
||||
|
||||
async def is_muted(self, group_id: int) -> bool:
|
||||
return False
|
||||
|
||||
def register_listener(
|
||||
self,
|
||||
event_type: typing.Type[mirai.Event],
|
||||
callback: typing.Callable[
|
||||
[mirai.Event, adapter_model.MessageSourceAdapter], None
|
||||
],
|
||||
):
|
||||
|
||||
try:
|
||||
|
||||
async def wrapper(
|
||||
message: typing.Union[
|
||||
botpy_message.Message,
|
||||
botpy_message.DirectMessage,
|
||||
botpy_message.GroupMessage,
|
||||
]
|
||||
):
|
||||
self.cached_official_messages[str(message.id)] = message
|
||||
await callback(self.event_converter.target2yiri(message), self)
|
||||
|
||||
for event_handler in event_handler_mapping[event_type]:
|
||||
setattr(self.bot, event_handler, wrapper)
|
||||
except Exception as e:
|
||||
traceback.print_exc()
|
||||
raise e
|
||||
|
||||
def unregister_listener(
|
||||
self,
|
||||
event_type: typing.Type[mirai.Event],
|
||||
callback: typing.Callable[
|
||||
[mirai.Event, adapter_model.MessageSourceAdapter], None
|
||||
],
|
||||
):
|
||||
delattr(self.bot, event_handler_mapping[event_type])
|
||||
|
||||
async def run_async(self):
|
||||
|
||||
self.metadata = self.ap.adapter_qq_botpy_meta
|
||||
|
||||
self.member_openid_mapping = OpenIDMapping(
|
||||
map=self.metadata.data["mapping"]["members"],
|
||||
dump_func=self.metadata.dump_config_sync,
|
||||
)
|
||||
|
||||
self.group_openid_mapping = OpenIDMapping(
|
||||
map=self.metadata.data["mapping"]["groups"],
|
||||
dump_func=self.metadata.dump_config_sync,
|
||||
)
|
||||
|
||||
self.message_converter = OfficialMessageConverter()
|
||||
self.event_converter = OfficialEventConverter(
|
||||
self.member_openid_mapping, self.group_openid_mapping
|
||||
)
|
||||
|
||||
self.ap.logger.info("运行 QQ 官方适配器")
|
||||
await self.bot.start(**self.cfg)
|
||||
|
||||
def kill(self) -> bool:
|
||||
return False
|
||||
@@ -1,124 +0,0 @@
|
||||
import asyncio
|
||||
import typing
|
||||
|
||||
import mirai
|
||||
import mirai.models.bus
|
||||
from mirai.bot import MiraiRunner
|
||||
|
||||
from .. import adapter as adapter_model
|
||||
from ...core import app
|
||||
|
||||
|
||||
@adapter_model.adapter_class("yiri-mirai")
|
||||
class YiriMiraiAdapter(adapter_model.MessageSourceAdapter):
|
||||
"""YiriMirai适配器"""
|
||||
bot: mirai.Mirai
|
||||
|
||||
def __init__(self, config: dict, ap: app.Application):
|
||||
"""初始化YiriMirai的对象"""
|
||||
self.ap = ap
|
||||
self.config = config
|
||||
if 'adapter' not in config or \
|
||||
config['adapter'] == 'WebSocketAdapter':
|
||||
self.bot = mirai.Mirai(
|
||||
qq=config['qq'],
|
||||
adapter=mirai.WebSocketAdapter(
|
||||
host=config['host'],
|
||||
port=config['port'],
|
||||
verify_key=config['verifyKey']
|
||||
)
|
||||
)
|
||||
elif config['adapter'] == 'HTTPAdapter':
|
||||
self.bot = mirai.Mirai(
|
||||
qq=config['qq'],
|
||||
adapter=mirai.HTTPAdapter(
|
||||
host=config['host'],
|
||||
port=config['port'],
|
||||
verify_key=config['verifyKey']
|
||||
)
|
||||
)
|
||||
else:
|
||||
raise Exception('Unknown adapter for YiriMirai: ' + config['adapter'])
|
||||
|
||||
async def send_message(
|
||||
self,
|
||||
target_type: str,
|
||||
target_id: str,
|
||||
message: mirai.MessageChain
|
||||
):
|
||||
"""发送消息
|
||||
|
||||
Args:
|
||||
target_type (str): 目标类型,`person`或`group`
|
||||
target_id (str): 目标ID
|
||||
message (mirai.MessageChain): YiriMirai库的消息链
|
||||
"""
|
||||
task = None
|
||||
if target_type == 'person':
|
||||
task = self.bot.send_friend_message(int(target_id), message)
|
||||
elif target_type == 'group':
|
||||
task = self.bot.send_group_message(int(target_id), message)
|
||||
else:
|
||||
raise Exception('Unknown target type: ' + target_type)
|
||||
|
||||
await task
|
||||
|
||||
async def reply_message(
|
||||
self,
|
||||
message_source: mirai.MessageEvent,
|
||||
message: mirai.MessageChain,
|
||||
quote_origin: bool = False
|
||||
):
|
||||
"""回复消息
|
||||
|
||||
Args:
|
||||
message_source (mirai.MessageEvent): YiriMirai消息源事件
|
||||
message (mirai.MessageChain): YiriMirai库的消息链
|
||||
quote_origin (bool, optional): 是否引用原消息. Defaults to False.
|
||||
"""
|
||||
await self.bot.send(message_source, message, quote_origin)
|
||||
|
||||
async def is_muted(self, group_id: int) -> bool:
|
||||
result = await self.bot.member_info(target=group_id, member_id=self.bot.qq).get()
|
||||
if result.mute_time_remaining > 0:
|
||||
return True
|
||||
return False
|
||||
|
||||
def register_listener(
|
||||
self,
|
||||
event_type: typing.Type[mirai.Event],
|
||||
callback: typing.Callable[[mirai.Event, adapter_model.MessageSourceAdapter], None]
|
||||
):
|
||||
"""注册事件监听器
|
||||
|
||||
Args:
|
||||
event_type (typing.Type[mirai.Event]): YiriMirai事件类型
|
||||
callback (typing.Callable[[mirai.Event], None]): 回调函数,接收一个参数,为YiriMirai事件
|
||||
"""
|
||||
async def wrapper(event: mirai.Event):
|
||||
await callback(event, self)
|
||||
self.bot.on(event_type)(wrapper)
|
||||
|
||||
def unregister_listener(
|
||||
self,
|
||||
event_type: typing.Type[mirai.Event],
|
||||
callback: typing.Callable[[mirai.Event, adapter_model.MessageSourceAdapter], None]
|
||||
):
|
||||
"""注销事件监听器
|
||||
|
||||
Args:
|
||||
event_type (typing.Type[mirai.Event]): YiriMirai事件类型
|
||||
callback (typing.Callable[[mirai.Event], None]): 回调函数,接收一个参数,为YiriMirai事件
|
||||
"""
|
||||
assert isinstance(self.bot, mirai.Mirai)
|
||||
bus = self.bot.bus
|
||||
assert isinstance(bus, mirai.models.bus.ModelEventBus)
|
||||
|
||||
bus.unsubscribe(event_type, callback)
|
||||
|
||||
async def run_async(self):
|
||||
self.bot_account_id = self.bot.qq
|
||||
return await MiraiRunner(self.bot)._run()
|
||||
|
||||
async def kill(self) -> bool:
|
||||
return False
|
||||
Some files were not shown because too many files have changed in this diff Show More
Reference in New Issue
Block a user