mirror of
https://gh-proxy.org/https://github.com/klinsmaya/SQLBot.git
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Merge branch 'main' of https://github.com/dataease/SQLBot
This commit is contained in:
dataeaseShu
@@ -0,0 +1,104 @@
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name: build-and-push
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run-name: 构建镜像并推送仓库 ${{ github.event.inputs.dockerImageTag }} (${{ github.event.inputs.registry }}) (${{ github.event.inputs.architecture }})
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on:
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workflow_dispatch:
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inputs:
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dockerImageTag:
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description: 'Image Tag'
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default: 'v0.9.0'
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required: true
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dockerImageTagWithLatest:
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description: '是否发布latest tag（正式发版时选择，测试版本切勿选择）'
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default: false
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required: true
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type: boolean
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architecture:
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description: 'Architecture'
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required: true
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default: 'linux/amd64'
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type: choice
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options:
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- linux/amd64
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- linux/arm64
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- linux/amd64,linux/arm64
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registry:
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description: 'Push To Registry'
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required: true
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default: 'aliyun-registry'
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type: choice
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options:
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- aliyun-registry
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- dockerhub
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- dockerhub, aliyun-registry
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jobs:
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build-and-push-to-aliyun-registry:
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if: ${{ contains(github.event.inputs.registry, 'aliyun') }}
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runs-on: ubuntu-latest
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steps:
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- name: Checkout
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uses: actions/checkout@v4
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with:
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ref: ${{ github.ref_name }}
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- name: Prepare
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id: prepare
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run: |
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DOCKER_IMAGE=${{ secrets.ALIYUN_REGISTRY_HOST }}/dataease/sqlbot
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DOCKER_PLATFORMS=${{ github.event.inputs.architecture }}
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TAG_NAME=${{ github.event.inputs.dockerImageTag }}
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TAG_NAME_WITH_LATEST=${{ github.event.inputs.dockerImageTagWithLatest }}
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if [[ ${TAG_NAME_WITH_LATEST} == 'true' ]]; then
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DOCKER_IMAGE_TAGS="--tag ${DOCKER_IMAGE}:${TAG_NAME} --tag ${DOCKER_IMAGE}:${TAG_NAME%%.*} --tag ${DOCKER_IMAGE}:latest"
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else
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DOCKER_IMAGE_TAGS="--tag ${DOCKER_IMAGE}:${TAG_NAME}"
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fi
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echo ::set-output name=buildx_args::--platform ${DOCKER_PLATFORMS} --memory-swap -1 \
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--build-arg DOCKER_IMAGE_TAG=${{ github.event.inputs.dockerImageTag }} --build-arg BUILD_AT=$(TZ=Asia/Shanghai date +'%Y-%m-%dT%H:%M') --build-arg GITHUB_COMMIT=`git rev-parse --short HEAD` --no-cache \
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${DOCKER_IMAGE_TAGS} .
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- name: Set up Docker Buildx
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uses: crazy-max/ghaction-docker-buildx@v3
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- name: Login to Aliyun Registry
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uses: docker/login-action@v2
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with:
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registry: ${{ secrets.ALIYUN_REGISTRY_HOST }}
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username: ${{ secrets.ALIYUN_REGISTRY_USERNAME }}
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password: ${{ secrets.ALIYUN_REGISTRY_PASSWORD }}
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- name: Docker Buildx (build-and-push)
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run: |
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docker buildx build --output "type=image,push=true" ${{ steps.prepare.outputs.buildx_args }}
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build-and-push-to-dockerhub:
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if: ${{ contains(github.event.inputs.registry, 'dockerhub') }}
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runs-on: ubuntu-latest
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steps:
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- name: Checkout
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uses: actions/checkout@v4
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with:
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ref: ${{ github.ref_name }}
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- name: Prepare
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id: prepare
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run: |
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DOCKER_IMAGE=dataease/sqlbot
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DOCKER_PLATFORMS=${{ github.event.inputs.architecture }}
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TAG_NAME=${{ github.event.inputs.dockerImageTag }}
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TAG_NAME_WITH_LATEST=${{ github.event.inputs.dockerImageTagWithLatest }}
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if [[ ${TAG_NAME_WITH_LATEST} == 'true' ]]; then
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DOCKER_IMAGE_TAGS="--tag ${DOCKER_IMAGE}:${TAG_NAME} --tag ${DOCKER_IMAGE}:${TAG_NAME%%.*} --tag ${DOCKER_IMAGE}:latest"
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else
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DOCKER_IMAGE_TAGS="--tag ${DOCKER_IMAGE}:${TAG_NAME}"
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fi
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echo ::set-output name=buildx_args::--platform ${DOCKER_PLATFORMS} --memory-swap -1 \
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--build-arg DOCKER_IMAGE_TAG=${{ github.event.inputs.dockerImageTag }} --build-arg BUILD_AT=$(TZ=Asia/Shanghai date +'%Y-%m-%dT%H:%M') --build-arg GITHUB_COMMIT=`git rev-parse --short HEAD` --no-cache \
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${DOCKER_IMAGE_TAGS} .
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- name: Set up Docker Buildx
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uses: crazy-max/ghaction-docker-buildx@v3
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- name: Login to Docker Hub
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uses: docker/login-action@v3
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with:
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username: ${{ secrets.DOCKERHUB_USERNAME }}
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password: ${{ secrets.DOCKERHUB_TOKEN }}
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- name: Docker Buildx (build-and-push)
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run: |
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docker buildx build --output "type=image,push=true" ${{ steps.prepare.outputs.buildx_args }}
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@@ -1,56 +0,0 @@
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# This workflow will do a clean installation of node dependencies, cache/restore them, build the source code and run tests across different versions of node
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# For more information see: https://docs.github.com/en/actions/automating-builds-and-tests/building-and-testing-nodejs
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name: build_docker CI
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on:
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workflow_dispatch:
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inputs:
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image_version:
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description: 'The version of the Docker image'
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required: true
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default: 'dev'
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#push:
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#branches: [ "main" ]
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#pull_request:
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#branches: [ "main" ]
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jobs:
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build:
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runs-on: ubuntu-latest
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strategy:
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matrix:
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node-version: [22.x]
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# See supported Node.js release schedule at https://nodejs.org/en/about/releases/
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steps:
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- uses: actions/checkout@v4
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- name: Use Node.js ${{ matrix.node-version }}
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uses: actions/setup-node@v4
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with:
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node-version: ${{ matrix.node-version }}
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- name: Install and build
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working-directory: ./frontend
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run: |
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npm install
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npm run build
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- name: Copy dist to backend
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run: |
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cp -r frontend/dist backend/
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- name: Login to Docker
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uses: docker/login-action@v2
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with:
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registry: ${{ secrets.DOCKERHUB_REGISTRY }}
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username: ${{ secrets.DOCKERHUB_USERNAME }}
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password: ${{ secrets.DOCKERHUB_TOKEN }}
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- name: Build and push Docker image
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uses: docker/build-push-action@v4
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with:
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context: .
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push: true
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tags: |
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${{ secrets.DOCKERHUB_REGISTRY }}/dataease-v2/sqlbot:latest
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${{ secrets.DOCKERHUB_REGISTRY }}/dataease-v2/sqlbot:${{ inputs.image_version }}
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@@ -8,13 +8,7 @@
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</p>
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<hr/>
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SQLBot 是一款基于大模型和 RAG 的智能问数系统。
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SQLBot 的工作原理：
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TBD
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SQLBot 的优势包括：
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||||
SQLBot 是一款基于大模型和 RAG 的智能问数系统。SQLBot 的优势包括：
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- **开箱即用**: 只需配置大模型和数据源即可开启问数之旅，通过大模型和 RAG 的结合来实现高质量的 text2sql；
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- **易于集成**: 支持快速嵌入到第三方业务系统，也支持被 n8n、MaxKB、Dify 、Coze 等 AI 应用开发平台集成调用，让各类应用快速拥有智能问数能力；
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@@ -50,12 +44,6 @@ TBD
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</tr>
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</table>
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## 技术栈
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- Frontend：[Vue.js](https://vuejs.org/)
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- Backend：[Python / Django](https://www.djangoproject.com/)
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- Database：[PostgreSQL + pgvector](https://www.postgresql.org/)
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## 飞致云的其他明星项目
|
||||
|
||||
- [DataEase](https://github.com/dataease/dataease/) - 人人可用的开源 BI 工具
|
||||
|
||||
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