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‎.github/workflows/build lvgl_mpy new.yml‎

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# 定义工作流名称
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name: build many lvgl_micropython
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# 触发条件：仅手动触发
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on:
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workflow_dispatch: # 仅手动触发
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jobs:
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build_esp32:
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runs-on: ubuntu-latest
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strategy:
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fail-fast: false
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matrix:
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include:
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- board: ESP32_GENERIC_S3
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variant: SPIRAM_OCT
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flash_size: 16
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display: ili9341
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indev: gt911
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- board: ESP32_GENERIC_C3
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variant: ""
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flash_size: 8
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display: st7789
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indev: ft6x36
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- board: ESP32_GENERIC
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variant: SPIRAM
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flash_size: 4
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display: st7735
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indev: ""
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- board: ESP32_GENERIC
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variant: SPIRAM
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flash_size: 4
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display: ili9341
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indev: xpt2046
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steps:
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# 1. 检出源码
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- name: 1.检出 lvgl_micropython 主仓库（含全部子模块）
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uses: actions/checkout@v4
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with:
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submodules: recursive # 递归拉取所有子模块
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fetch-depth: 0 # 拉取完整历史，便于后续版本识别
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# 2. 安装系统依赖
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- name: 2.安装 Ubuntu 系统级编译依赖
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run: |
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sudo apt-get update # 更新软件包索引
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sudo apt-get install -y build-essential pkg-config \ # 编译工具链
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cmake ninja-build ccache # 构建&缓存工具
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# 3. 设置 Python
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- name: 3.配置 Python 3.11 运行环境
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uses: actions/setup-python@v5
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with:
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python-version: '3.11' # ESP-IDF 与 MicroPython 均推荐 3.11
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# 4. 初始化子模块（项目依赖）
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- name: 4.按需浅克隆关键子模块（加速下载）
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run: |
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# 仅拉取编译必需的子模块，深度=1 减少体积
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git submodule update --init --depth 1 -- lib/pycparser
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git submodule update --init --depth 1 --jobs 4 -- lib/micropython
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git submodule update --init --depth 1 --jobs 4 -- lib/lvgl
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# 5. 缓存 ESP-IDF
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- name: 5.加载或创建 ESP-IDF 缓存
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id: cache-deps
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uses: actions/cache@v4
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with:
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path: |
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lib/esp-idf # ESP-IDF 主目录
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~/.espressif # 工具链、Python 虚拟环境
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key: ${{ runner.os }}-v4-deps # 缓存键，可随版本调整
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# 6. 若缓存未命中，拉取 ESP-IDF
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- name: 6.缓存未命中时完整拉取 ESP-IDF 及其子模块
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if: steps.cache-deps.outputs.cache-hit != 'true'
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run: |
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# 拉取 ESP-IDF 主仓库
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git submodule update --init --depth 1 --jobs 4 -- lib/esp-idf
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cd lib/esp-idf
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# 按需浅克隆 ESP-IDF 自身需要的子模块
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git submodule update --init --depth 1 --jobs 4 -- \
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components/bt/host/nimble/nimble \
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components/esp_wifi \
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components/esptool_py/esptool \
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components/lwip/lwip \
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components/mbedtls/mbedtls \
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components/bt/controller/lib_esp32 \
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components/bt/controller/lib_esp32c3_family
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cd ../..
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# 安装 ESP-IDF 全部工具链（all 代表支持所有芯片）
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export "IDF_PATH=$GITHUB_WORKSPACE/lib/esp-idf"
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./lib/esp-idf/install.sh all
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# 7. 设置 ESP-IDF 环境
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- name: 7.激活 ESP-IDF 环境变量（每个 step 都需重新执行）
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run: |
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export "IDF_PATH=$GITHUB_WORKSPACE/lib/esp-idf"
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. ./lib/esp-idf/export.sh # source export.sh，使 idf.py 可用
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env:
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IDF_PATH: ${{ github.workspace }}/lib/esp-idf
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# 8. 构建固件
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- name: 8.使用 make.py 编译指定板型/Flash/显示/触摸配置
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run: |
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# 组装 make.py 参数数组
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opts=()
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[[ -n "${{ matrix.variant }}" ]] && opts+=("BOARD_VARIANT=${{ matrix.variant }}")
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opts+=("BOARD=${{ matrix.board }}")
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opts+=("--flash-size=${{ matrix.flash_size }}")
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opts+=("DISPLAY=${{ matrix.display }}")
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[[ -n "${{ matrix.indev }}" ]] && opts+=("INDEV=${{ matrix.indev }}")
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# 调用 make.py 进行编译
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python3 make.py esp32 "${opts[@]}"
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# 9. 收集固件到统一目录
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- name: 9.重命名并收集所有固件到 ~/artifacts
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run: |
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# 定义最终存放固件的目录，固定放到 $HOME/artifacts
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ARTIFACTS_DIR="$HOME/artifacts"
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mkdir -p "$ARTIFACTS_DIR" # 如果目录不存在则自动创建
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# 拼出 ESP-IDF 实际编译输出目录的前缀
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BUILD_DIR="${{ github.workspace }}/lib/micropython/ports/esp32"
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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+="-${{ matrix.variant }}"
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# 计算固件真正所在路径
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FW_PATH="${BUILD_DIR}/build-${BOARD_NAME}/firmware.bin"
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# 组合最终文件名：板型_可选variant_FlashMB_显示_触摸.bin
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OUT_NAME="lvgl_mpy_${{ matrix.board }}${{ matrix.variant && format('_{0}', matrix.variant) || '' }}_${{ matrix.flash_size }}MB${{ matrix.display && format('_{0}', matrix.display) || '' }}${{ matrix.indev && format('_{0}', matrix.indev) || '' }}.bin"
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# 如果固件存在则复制并重命名；不存在则报错退出
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if [[ -f "$FW_PATH" ]]; then
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cp "$FW_PATH" "$ARTIFACTS_DIR/$OUT_NAME"
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else
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echo "Firmware not found at $FW_PATH"
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exit 1
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fi
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# 10. 上传构建产物
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- name: 10.上传重命名后的固件到 GitHub Actions 产物区
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uses: actions/upload-artifact@v4
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with:
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# 产物名与文件名保持一致，便于识别
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name: lvgl_mpy_${{ matrix.board }}${{ matrix.variant && format('_{0}', matrix.variant) || '' }}_${{ matrix.flash_size }}MB${{ matrix.display && format('_{0}', matrix.display) || '' }}${{ matrix.indev && format('_{0}', matrix.indev) || '' }}
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path: ~/artifacts/*.bin

‎.github/workflows/build lvgl_mpy2.yml‎ renamed to ‎.github/workflows/build lvgl_mpy.yml‎

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‎.github/workflows/build lvgl_mpy1.yml‎

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