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Update workflow to push to Docker Hub instead of GitHub Container Registry
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‎.github/workflows/docker-build.yml‎

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name: Docker Build and Push
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name: Docker Build and Push to Docker Hub
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on:
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push:
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workflow_dispatch:
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env:
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REGISTRY: ghcr.io
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IMAGE_NAME: ${{ github.repository }}
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DOCKERHUB_IMAGE: ${{ secrets.DOCKERHUB_USERNAME }}/ai-coder-allinone
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jobs:
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build-and-push:
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runs-on: ubuntu-latest
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permissions:
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contents: read
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packages: write
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steps:
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- name: Checkout repository
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uses: actions/checkout@v4
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- name: Set up QEMU
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uses: docker/setup-qemu-action@v3
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- name: Set up Docker Buildx
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uses: docker/setup-buildx-action@v3
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- name: Log in to Container Registry
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- name: Log in to Docker Hub
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if: github.event_name != 'pull_request'
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uses: docker/login-action@v3
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with:
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registry: ${{ env.REGISTRY }}
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username: ${{ github.actor }}
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password: ${{ secrets.GITHUB_TOKEN }}
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username: ${{ secrets.DOCKERHUB_USERNAME }}
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password: ${{ secrets.DOCKERHUB_TOKEN }}
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- name: Extract metadata (tags, labels)
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id: meta
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uses: docker/metadata-action@v5
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with:
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images: ${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}
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images: ${{ env.DOCKERHUB_IMAGE }}
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tags: |
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type=ref,event=branch
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type=ref,event=pr
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- name: Image digest
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run: echo ${{ steps.meta.outputs.digest }}
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- name: Update Docker Hub description
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if: github.event_name != 'pull_request'
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uses: peter-evans/dockerhub-description@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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repository: ${{ env.DOCKERHUB_IMAGE }}
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short-description: "🚀 Unified AI coding environment with VSCode Server, Claude Code, Vibe-Kanban, OpenCode/Sisyphus"
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readme-filepath: ./README.md
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‎DOCKERHUB_SETUP.md‎

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# Docker Hub 配置指南
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## 📦 设置 Docker Hub 自动推送
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### 步骤 1: 创建 Docker Hub 账号
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1. 访问 [Docker Hub](https://hub.docker.com/)
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2. 注册或登录账号
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3. 记住您的用户名（例如：`chenjingxiong`）
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### 步骤 2: 创建 Access Token
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1. 登录 Docker Hub
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2. 点击右上角头像 → **Account Settings**
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3. 选择 **Security** 标签
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4. 点击 **New Access Token**
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5. 填写信息：
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- Token description: `GitHub Actions - AI_Coder_AllInOne`
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- Access permissions: **Read, Write, Delete**
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6. 点击 **Generate**
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7. **复制并保存** token（只显示一次！）
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### 步骤 3: 在 GitHub 仓库添加 Secrets
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1. 访问您的 GitHub 仓库: `https://github.com/chenjingxiong/AI_Coder_AllInOne`
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2. 进入 **Settings** → **Secrets and variables** → **Actions**
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3. 点击 **New repository secret**
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添加两个 secrets：
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#### Secret 1: DOCKERHUB_USERNAME
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- Name: `DOCKERHUB_USERNAME`
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- Value: 您的 Docker Hub 用户名（例如：`chenjingxiong`）
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#### Secret 2: DOCKERHUB_TOKEN
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- Name: `DOCKERHUB_TOKEN`
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- Value: 刚才创建的 Access Token
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### 步骤 4: 推送代码触发构建
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```bash
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git add .
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git commit -m "Update workflow to push to Docker Hub"
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git push origin main
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```
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### 步骤 5: 查看构建状态
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1. 进入 GitHub 仓库的 **Actions** 标签
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2. 查看 "Docker Build and Push to Docker Hub" 工作流
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3. 等待构建完成（约 10-15 分钟）
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### 步骤 6: 验证镜像
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构建成功后，镜像将发布到：
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```
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docker.io/chenjingxiong/ai-coder-allinone:latest
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```
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任何人都可以拉取：
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```bash
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docker pull chenjingxiong/ai-coder-allinone:latest
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docker run -d -p 8080:8080 chenjingxiong/ai-coder-allinone:latest
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```
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## 🎯 自动化功能
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GitHub Actions 会自动：
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- ✅ 在每次推送到 `main` 分支时构建
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- ✅ 构建多架构镜像（AMD64 + ARM64）
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- ✅ 推送到 Docker Hub
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- ✅ 自动标记 `latest` 和版本号
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- ✅ 更新 Docker Hub 仓库描述
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## 🏷️ 版本标记
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### 自动标记
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- `latest` - 最新的 main 分支构建
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- `main` - main 分支的最新提交
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- `main-<sha>` - 特定提交的构建
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### 发布版本
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创建版本标签：
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```bash
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git tag -a v1.0.0 -m "Release v1.0.0"
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git push origin v1.0.0
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```
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将自动创建标签：
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- `v1.0.0`
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- `1.0`
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- `latest`
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## 🔍 故障排查
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### 构建失败
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1. 检查 Secrets 是否正确设置
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2. 确认 Docker Hub token 有效
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3. 查看 Actions 日志获取详细错误
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### 镜像未出现在 Docker Hub
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1. 确认构建成功完成
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2. 检查 Docker Hub 仓库是否存在
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3. 可能需要手动创建仓库（首次推送会自动创建）
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## 📊 镜像信息
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- **仓库**: `chenjingxiong/ai-coder-allinone`
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- **标签**: `latest`, `main`, 版本号
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- **架构**: `linux/amd64`, `linux/arm64`
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- **大小**: 约 2-3 GB
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---
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**配置完成后，每次推送代码都会自动构建并发布到 Docker Hub！** 🚀

‎README.md‎

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# AI Coder All-in-One 🚀
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[![Docker Build](https://github.com/YOUR_USERNAME/AI_Coder_AllInOne/actions/workflows/docker-build.yml/badge.svg)](https://github.com/YOUR_USERNAME/AI_Coder_AllInOne/actions/workflows/docker-build.yml)
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[![Docker Build](https://github.com/chenjingxiong/AI_Coder_AllInOne/actions/workflows/docker-build.yml/badge.svg)](https://github.com/chenjingxiong/AI_Coder_AllInOne/actions/workflows/docker-build.yml)
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[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
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[![Docker Pulls](https://img.shields.io/docker/pulls/YOUR_USERNAME/ai-coder-allinone)](https://github.com/YOUR_USERNAME/AI_Coder_AllInOne/pkgs/container/ai_coder_allinone)
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[![Docker Pulls](https://img.shields.io/docker/pulls/chenjingxiong/ai-coder-allinone)](https://hub.docker.com/r/chenjingxiong/ai-coder-allinone)
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[![Docker Image Size](https://img.shields.io/docker/image-size/chenjingxiong/ai-coder-allinone/latest)](https://hub.docker.com/r/chenjingxiong/ai-coder-allinone)
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> A unified Docker environment containing multiple AI coding tools - VSCode Server, Claude Code, Vibe-Kanban, OpenCode/Sisyphus, Open Interpreter, and Kilo-Code.
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## ⚡ Quick Start
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### Option 1: Pull from GitHub Container Registry (Recommended)
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### Option 1: Pull from Docker Hub (Recommended)
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```bash
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# Pull the pre-built image
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docker pull ghcr.io/YOUR_USERNAME/ai_coder_allinone:latest
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docker pull chenjingxiong/ai-coder-allinone:latest
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# Run the container
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docker run -d -p 8080:8080 \
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-e OPENAI_API_KEY=your_key \
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-e GOOGLE_API_KEY=your_key \
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--name ai-coder \
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ghcr.io/YOUR_USERNAME/ai_coder_allinone:latest
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chenjingxiong/ai-coder-allinone:latest
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# Open VSCode in browser
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# http://localhost:8080

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