Update: 实现了多平台的docker images自动化构建

Aicnal · Nov 4, 2024 · 971220e · 971220e
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diff --git a/.github/workflows/composeImage.yml b/.github/workflows/composeImage.yml
@@ -2,8 +2,8 @@ name: 构建镜像并推送到Docker Hub
 on: push
 
 jobs: 
-  docker-build:
-    name: Docker build工作
+  docker-build-linux:
+    name: Docker build Linux
     runs-on: ubuntu-latest
 
     steps:
@@ -13,11 +13,50 @@ jobs:
     - name: 登陆DockerHub
       uses: docker/login-action@v3
       with:
-        username: ${{  secrets.DOCKER_USERNAME }}
-        password: ${{secrets.DOCKER_TOKEN}}
+        username: ${{ secrets.DOCKER_USERNAME }}
+        password: ${{ secrets.DOCKER_TOKEN }}
 
     - name: 构建并且推送到Docker Hub
       uses: docker/build-push-action@v5
       with:
         push: true
-        tags: aicnal/image-compressor:latest
+        tags: aicnal/linux-image-compressor:latest
+
+  docker-build-windows:
+    name: Docker build Windows
+    runs-on: windows-latest
+
+    steps:
+    - name: 读取仓库内容
+      uses: actions/checkout@v4
+
+    - name: 登陆DockerHub
+      uses: docker/login-action@v3
+      with:
+        username: ${{ secrets.DOCKER_USERNAME }}
+        password: ${{ secrets.DOCKER_TOKEN }}
+
+    - name: 构建并且推送到Docker Hub
+      run: |
+        docker build -t aicnal/windows-image-compressor:latest .
+        docker push aicnal/windows-image-compressor:latest
+
+  docker-build-macos:
+    name: Docker build macOS
+    runs-on: macos-latest
+
+    steps:
+    - name: 读取仓库内容
+      uses: actions/checkout@v4
+
+    - name: 登陆DockerHub
+      uses: docker/login-action@v3
+      with:
+        username: ${{ secrets.DOCKER_USERNAME }}
+        password: ${{ secrets.DOCKER_TOKEN }}
+
+    - name: 构建并且推送到Docker Hub
+      uses: docker/build-push-action@v5
+      with:
+        push: true
+        tags: aicnal/macos-image-compressor:latest
diff --git a/README.md b/README.md
@@ -45,5 +45,6 @@ services:
 
 ## 功能
 
+- [x] 使用GitHub Actions实现了全自动构建Docker Images，兼容了Windows、Linux和macOS
 - [x] 当脚本执行的时候不再对已经存在转码过的图片进行处理，会生成一个`processed_files.txt`文件
 - [ ] 使用硬件加速