Dockerfile.build

# Dockerfile for building auto-clock with Python 3.10
# Using official Python 3.10 image based on Debian Bullseye (compatible with Ubuntu 20.04)

FROM python:3.10-slim-bullseye

# 设置非交互式安装
ENV DEBIAN_FRONTEND=noninteractive
ENV TZ=Asia/Shanghai
ENV PIP_INDEX_URL=https://mirrors.aliyun.com/pypi/simple/
ENV PIP_TRUSTED_HOST=mirrors.aliyun.com

# 更换为阿里云镜像源以加速下载
RUN sed -i 's/deb.debian.org/mirrors.aliyun.com/g' /etc/apt/sources.list && \
    sed -i 's/security.debian.org/mirrors.aliyun.com/g' /etc/apt/sources.list

# 安装系统依赖
RUN apt-get update && apt-get install -y \
    curl \
    wget \
    git \
    binutils \
    libxcb-xinerama0 \
    libxcb-cursor0 \
    libxcb1-dev \
    libx11-dev \
    libxkbcommon-x11-0 \
    libegl1-mesa-dev \
    libgl1-mesa-glx \
    libfontconfig1-dev \
    libicu-dev \
    libsqlite3-dev \
    libxss1 \
    libgconf-2-4 \
    libxtst6 \
    libasound2-dev \
    libpulse-dev \
    libxcb-icccm4 \
    libxcb-image0 \
    libxcb-keysyms1 \
    libxcb-randr0 \
    libxcb-render-util0 \
    libxcb-shape0 \
    libdbus-1-3 \
    && rm -rf /var/lib/apt/lists/*

# 设置工作目录
WORKDIR /build

# 复制项目文件
COPY . /build/

# 安装Python依赖
# 使用requirements.txt（Python 3.10兼容）
# 注意：Linux Docker环境使用 opencv-python-headless 替代 opencv-python
RUN python3 -m pip install --upgrade pip && \
    python3 -m pip install -r requirements.txt && \
    python3 -m pip uninstall -y opencv-python && \
    python3 -m pip install opencv-python-headless && \
    python3 -m pip install pyinstaller

# 构建脚本，并修复生成文件的权限
CMD bash linux_build.sh && chmod -R 777 /build/dist