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‎.github/workflows/new build.yml‎

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name: build mpy with camera and jpeg
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name: build mpy with camera and jpeg (single job)
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# 触发条件：仅手动触发
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# 仅手动触发
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on:
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workflow_dispatch:
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# 并发控制：同一分支仅保留最新一次运行
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# 并发控制：同一分支只保留最新一次
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concurrency:
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group: ${{ github.workflow }}-${{ github.ref }}
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cancel-in-progress: true
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env:
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MICROPYTHON_DIR: ${{ github.workspace }}/micropython # MicroPython 的目录
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ESP_IDF_DIR: ${{ github.workspace }}/esp-idf # ESP-IDF 的目录
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ARTIFACTS_DIR: ${{ github.workspace }}/artifacts # 构建产物的目录
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MPY_VERSION: v1.25.0 # MicroPython 的版本
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ESP_IDF_VERSION: v5.4.1 # ESP-IDF 的版本
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MICROPYTHON_DIR: ${{ github.workspace }}/micropython
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ESP_IDF_DIR: ${{ github.workspace }}/esp-idf
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ARTIFACTS_DIR: ${{ github.workspace }}/artifacts
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MPY_VERSION: v1.25.0
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ESP_IDF_VERSION: v5.4.1
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jobs:
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# 第一步：准备编译环境（ESP-IDF、MicroPython）
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setup-environment:
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runs-on: ubuntu-24.04
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steps:
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# 1.缓存 ESP-IDF 和 MicroPython
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- name: Cache ESP-IDF and MicroPython
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id: cache_esp_idf
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uses: actions/cache@v4
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with:
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path: | # 缓存路径
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${{ env.ESP_IDF_DIR }}
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~/.espressif/
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~/.cache/pip/
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${{ env.MICROPYTHON_DIR }}
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key: mpy-${{ env.MPY_VERSION }}-idf-${{ env.ESP_IDF_VERSION }} # 缓存键
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# 2.安装依赖（如果未缓存）
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- name: Install dependencies (if not cached)
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if: steps.cache_esp_idf.outputs.cache-hit != 'true' # 如果缓存未命中
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run: |
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sudo apt-get update # 更新包列表
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sudo apt-get install -y git wget flex bison gperf python3 python3-pip python3-venv cmake ninja-build ccache libffi-dev libssl-dev dfu-util libusb-1.0-0 # 安装依赖
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# 3.克隆指定版本的 MicroPython（如果未缓存）
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- name: Clone MicroPython specific version (if not cached)
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if: steps.cache_esp_idf.outputs.cache-hit != 'true' # 如果缓存未命中
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run: |
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cd ${{ github.workspace }}
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git clone --depth 1 --branch ${{ env.MPY_VERSION }} https://github.com/micropython/micropython.git ${{ env.MICROPYTHON_DIR }} # 克隆 MicroPython
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cd ${{ env.MICROPYTHON_DIR }}
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git submodule update --init --depth 1 # 更新子模块
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cd mpy-cross && make # 编译 mpy-cross 工具
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# 4.设置指定版本的 ESP-IDF（如果未缓存）
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- name: Set up ESP-IDF specific version (if not cached)
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if: steps.cache_esp_idf.outputs.cache-hit != 'true' # 如果缓存未命中
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run: |
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cd ${{ github.workspace }}
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git clone --depth 1 --branch ${{ env.ESP_IDF_VERSION }} https://github.com/espressif/esp-idf.git ${{ env.ESP_IDF_DIR }} # 克隆 ESP-IDF
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git -C ${{ env.ESP_IDF_DIR }} submodule update --init --recursive --filter=tree:0 # 更新子模块
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cd ${{ env.ESP_IDF_DIR }} && ./install.sh esp32,esp32s3,esp32c3 # 安装 ESP-IDF
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cd components
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# 使用 cnadler86 的 esp32-camera 分支（适配 MicroPython）
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git clone https://github.com/cnadler86/esp32-camera.git
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cd ${{ env.ESP_IDF_DIR }}
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source ./export.sh # 导入 ESP-IDF 的环境变量
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cd ${{ github.workspace }}
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# 拷贝 esp-adf-libs 中的 esp_new_jpeg 组件
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git clone https://github.com/espressif/esp-adf-libs.git
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cp -r ${{ github.workspace }}/esp-adf-libs/esp_new_jpeg ${{ env.ESP_IDF_DIR }}/components/
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# 第二步：并行构建各开发板固件
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build:
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needs: setup-environment
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runs-on: ubuntu-24.04
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strategy:
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fail-fast: false
@@ -87,72 +34,108 @@ jobs:
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flash_size: 8
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steps:
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# 2. 恢复缓存
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- name: 2.恢复 ESP-IDF 与 MicroPython 缓存
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uses: actions/cache@v4 # 使用 GitHub Actions 的缓存功能
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# 1. 检出当前仓库（包含 board 配置、脚本等）
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- name: Checkout repo
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uses: actions/checkout@v4
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# 2. 缓存 ESP-IDF 与 MicroPython
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- name: Cache ESP-IDF and MicroPython
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id: cache_all
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uses: actions/cache@v4
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with:
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path: | # 缓存路径
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path: |
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${{ env.ESP_IDF_DIR }}
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~/.espressif/
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~/.cache/pip/
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${{ env.MICROPYTHON_DIR }}
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key: mpy-${{ env.MPY_VERSION }}-idf-${{ env.ESP_IDF_VERSION }} # 缓存键
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key: mpy-${{ env.MPY_VERSION }}-idf-${{ env.ESP_IDF_VERSION }}
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- name: 检出仓库
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uses: actions/checkout@v4
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# 3. 安装系统依赖（仅在缓存未命中时）
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- name: Install system dependencies
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if: steps.cache_all.outputs.cache-hit != 'true'
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run: |
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sudo apt-get update
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sudo apt-get install -y \
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git wget flex bison gperf python3 python3-pip python3-venv \
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cmake ninja-build ccache libffi-dev libssl-dev dfu-util libusb-1.0-0
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# 4. 克隆 MicroPython（仅在缓存未命中时）
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- name: Clone MicroPython
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if: steps.cache_all.outputs.cache-hit != 'true'
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run: |
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git clone --depth 1 --branch ${{ env.MPY_VERSION }} \
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https://github.com/micropython/micropython.git ${{ env.MICROPYTHON_DIR }}
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cd ${{ env.MICROPYTHON_DIR }}
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git submodule update --init --depth 1
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make -C mpy-cross
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# 克隆 JPEG 模块
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- name: 克隆 JPEG 模块
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# 5. 克隆并配置 ESP-IDF（仅在缓存未命中时）
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- name: Clone & setup ESP-IDF
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if: steps.cache_all.outputs.cache-hit != 'true'
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run: |
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git clone --depth 1 --branch ${{ env.ESP_IDF_VERSION }} \
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https://github.com/espressif/esp-idf.git ${{ env.ESP_IDF_DIR }}
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git -C ${{ env.ESP_IDF_DIR }} submodule update --init --recursive --filter=tree:0
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${{ env.ESP_IDF_DIR }}/install.sh esp32,esp32s3,esp32c3
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# 添加 esp32-camera（适配 MicroPython）
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git clone https://github.com/cnadler86/esp32-camera.git \
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${{ env.ESP_IDF_DIR }}/components/esp32-camera
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# 添加 esp_new_jpeg
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git clone https://github.com/espressif/esp-adf-libs.git ${{ github.workspace }}/esp-adf-libs
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cp -r ${{ github.workspace }}/esp-adf-libs/esp_new_jpeg \
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${{ env.ESP_IDF_DIR }}/components/esp_new_jpeg
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# 6. 导入 ESP-IDF 环境变量（每次都需要）
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- name: Export ESP-IDF environment
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run: |
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git clone https://github.com/cnadler86/mp_jpeg.git
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source ${{ env.ESP_IDF_DIR }}/export.sh
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echo "ESP-IDF ready."
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# 生成聚合 user_modules.cmake
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- name: 生成聚合 user_modules.cmake
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# 7. 克隆 JPEG 模块
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- name: Clone JPEG module
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run: |
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git clone https://github.com/cnadler86/mp_jpeg.git ${{ github.workspace }}/mp_jpeg
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# 8. 生成 user_modules.cmake（聚合本仓库与 JPEG 模块）
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- name: Generate user_modules.cmake
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run: |
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cat > ${{ github.workspace }}/user_modules.cmake <<'EOF'
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include("${CMAKE_CURRENT_LIST_DIR}/src/micropython.cmake")
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include("${CMAKE_CURRENT_LIST_DIR}/mp_jpeg/src/micropython.cmake")
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EOF
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# 编译固件
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- name: 编译固件
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# 9. 编译固件
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- name: Build firmware
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run: |
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echo "检查 ESP-IDF 目录是否存在..."
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ls -la ${{ env.ESP_IDF_DIR }}
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echo "检查 export.sh 是否存在..."
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ls -la ${{ env.ESP_IDF_DIR }}/export.sh || echo "export.sh 不存在！"
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cd ${{ env.ESP_IDF_DIR }}
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source ./export.sh
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source ${{ env.ESP_IDF_DIR }}/export.sh
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cd ${{ env.MICROPYTHON_DIR }}/ports/esp32
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make BOARD=${{ matrix.board }} \
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BOARD_VARIANT=${{ matrix.variant }} \
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FLASH_SIZE=${{ matrix.flash_size }}MB \
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USER_C_MODULES="${{ github.workspace }}/user_modules.cmake" \
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-j$(nproc)
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- name: 重命名并上传固件
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# 10. 重命名并收集固件
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- name: Rename firmware
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run: |
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mkdir -p ${{ env.ARTIFACTS_DIR }}
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# 拼出构建目录名：board 与可选 variant 用 “-” 连接
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BOARD_NAME="${{ matrix.board }}"
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[[ -n "${{ matrix.variant }}" ]] && BOARD_NAME+="-${{ matrix.variant }}"
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# 计算固件真正所在路径
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FW_PATH="${{ env.MICROPYTHON_DIR }}/ports/esp32/build-${BOARD_NAME}/firmware.bin"
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OUT_NAME="${{ matrix.board }}${{ matrix.variant && format('_{0}', matrix.variant) || '' }}_${{ matrix.flash_size }}MB.bin"
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echo "编译输出目录内容："
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ls -la ${{ env.MICROPYTHON_DIR }}/ports/esp32/build-${BOARD_NAME}
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ls -la "${{ env.MICROPYTHON_DIR }}/ports/esp32/build-${BOARD_NAME}"
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if [[ -f "$FW_PATH" ]]; then
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cp $FW_PATH ${{ env.ARTIFACTS_DIR }}/$OUT_NAME
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cp "$FW_PATH" "${{ env.ARTIFACTS_DIR }}/$OUT_NAME"
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else
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echo "Firmware not found at $FW_PATH"
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exit 1
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fi
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- name: 上传产物
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# 11. 上传构建产物
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- name: Upload artifact
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uses: actions/upload-artifact@v4
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with:
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name: mpy_cam-${{ matrix.board }}${{ matrix.variant && format('_{0}', matrix.variant) || '' }}_${{ matrix.flash_size }}MB

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