Merge branch 'main' of https://github.com/dataease/SQLBot

Author: dataeaseShu

.github/workflows/build_and_push.yml

@@ -0,0 +1,104 @@
+name: build-and-push
+
+run-name: 构建镜像并推送仓库 ${{ github.event.inputs.dockerImageTag }} (${{ github.event.inputs.registry }}) (${{ github.event.inputs.architecture }})
+
+on:
+  workflow_dispatch:
+    inputs:
+      dockerImageTag:
+        description: 'Image Tag'
+        default: 'v0.9.0'
+        required: true
+      dockerImageTagWithLatest:
+        description: '是否发布latest tag（正式发版时选择，测试版本切勿选择）'
+        default: false
+        required: true
+        type: boolean
+      architecture:
+        description: 'Architecture'
+        required: true
+        default: 'linux/amd64'
+        type: choice
+        options:
+          - linux/amd64
+          - linux/arm64
+          - linux/amd64,linux/arm64
+      registry:
+        description: 'Push To Registry'
+        required: true
+        default: 'aliyun-registry'
+        type: choice
+        options:
+          - aliyun-registry
+          - dockerhub
+          - dockerhub, aliyun-registry
+
+jobs:
+  build-and-push-to-aliyun-registry:
+    if: ${{ contains(github.event.inputs.registry, 'aliyun') }}
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v4
+        with:
+          ref: ${{ github.ref_name }}
+      - name: Prepare
+        id: prepare
+        run: |
+          DOCKER_IMAGE=${{ secrets.ALIYUN_REGISTRY_HOST }}/dataease/sqlbot
+          DOCKER_PLATFORMS=${{ github.event.inputs.architecture }}
+          TAG_NAME=${{ github.event.inputs.dockerImageTag }}
+          TAG_NAME_WITH_LATEST=${{ github.event.inputs.dockerImageTagWithLatest }}
+          if [[ ${TAG_NAME_WITH_LATEST} == 'true' ]]; then            
+            DOCKER_IMAGE_TAGS="--tag ${DOCKER_IMAGE}:${TAG_NAME} --tag ${DOCKER_IMAGE}:${TAG_NAME%%.*} --tag ${DOCKER_IMAGE}:latest"
+          else
+            DOCKER_IMAGE_TAGS="--tag ${DOCKER_IMAGE}:${TAG_NAME}"
+          fi
+          echo ::set-output name=buildx_args::--platform ${DOCKER_PLATFORMS} --memory-swap -1 \
+            --build-arg DOCKER_IMAGE_TAG=${{ 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 \
+            ${DOCKER_IMAGE_TAGS} .
+      - name: Set up Docker Buildx
+        uses: crazy-max/ghaction-docker-buildx@v3
+      - name: Login to Aliyun Registry
+        uses: docker/login-action@v2
+        with:
+          registry: ${{ secrets.ALIYUN_REGISTRY_HOST }}
+          username: ${{ secrets.ALIYUN_REGISTRY_USERNAME }}
+          password: ${{ secrets.ALIYUN_REGISTRY_PASSWORD }}
+      - name: Docker Buildx (build-and-push)
+        run: |
+          docker buildx build --output "type=image,push=true" ${{ steps.prepare.outputs.buildx_args }}
+
+  build-and-push-to-dockerhub:
+    if: ${{ contains(github.event.inputs.registry, 'dockerhub') }}
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v4
+        with:
+          ref: ${{ github.ref_name }}
+      - name: Prepare
+        id: prepare
+        run: |
+          DOCKER_IMAGE=dataease/sqlbot
+          DOCKER_PLATFORMS=${{ github.event.inputs.architecture }}
+          TAG_NAME=${{ github.event.inputs.dockerImageTag }}          
+          TAG_NAME_WITH_LATEST=${{ github.event.inputs.dockerImageTagWithLatest }}
+          if [[ ${TAG_NAME_WITH_LATEST} == 'true' ]]; then            
+            DOCKER_IMAGE_TAGS="--tag ${DOCKER_IMAGE}:${TAG_NAME} --tag ${DOCKER_IMAGE}:${TAG_NAME%%.*} --tag ${DOCKER_IMAGE}:latest"
+          else
+            DOCKER_IMAGE_TAGS="--tag ${DOCKER_IMAGE}:${TAG_NAME}"
+          fi
+          echo ::set-output name=buildx_args::--platform ${DOCKER_PLATFORMS} --memory-swap -1 \
+            --build-arg DOCKER_IMAGE_TAG=${{ 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 \
+            ${DOCKER_IMAGE_TAGS} .
+      - name: Set up Docker Buildx
+        uses: crazy-max/ghaction-docker-buildx@v3
+      - name: Login to Docker Hub
+        uses: docker/login-action@v3
+        with:
+          username: ${{ secrets.DOCKERHUB_USERNAME }}
+          password: ${{ secrets.DOCKERHUB_TOKEN }}
+      - name: Docker Buildx (build-and-push)
+        run: |
+          docker buildx build --output "type=image,push=true" ${{ steps.prepare.outputs.buildx_args }}

.github/workflows/build_docker.yml

@@ -8,13 +8,7 @@
 </p>
 <hr/>
 
-SQLBot 是一款基于大模型和 RAG 的智能问数系统。
-
-SQLBot 的工作原理：
-
-TBD
-
-SQLBot 的优势包括：
+SQLBot 是一款基于大模型和 RAG 的智能问数系统。SQLBot 的优势包括：
 
 - **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；
 - **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；
@@ -50,12 +44,6 @@ TBD
   </tr>
 </table>
 
-## 技术栈
-
-- Frontend：[Vue.js](https://vuejs.org/)
-- Backend：[Python / Django](https://www.djangoproject.com/)
-- Database：[PostgreSQL + pgvector](https://www.postgresql.org/)
-
 ## 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