mirror of
https://github.com/Usagi-org/ai-goofish-monitor.git
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62 lines
1.8 KiB
Docker
62 lines
1.8 KiB
Docker
# Stage 1: Build the environment with dependencies
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FROM python:3.11-slim-bookworm AS builder
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# 设置环境变量以防止交互式提示
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ENV DEBIAN_FRONTEND=noninteractive
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# 创建虚拟环境
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ENV VIRTUAL_ENV=/opt/venv
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RUN python3 -m venv $VIRTUAL_ENV
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ENV PATH="$VIRTUAL_ENV/bin:$PATH"
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# 安装 Python 依赖到虚拟环境中 (使用国内镜像源加速)
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COPY requirements.txt .
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RUN pip install --no-cache-dir -i https://pypi.tuna.tsinghua.edu.cn/simple -r requirements.txt
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# 只下载 Playwright 的 Chromium 浏览器，系统依赖在下一阶段安装
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RUN playwright install chromium
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# Stage 2: Create the final, lean image
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FROM python:3.11-slim-bookworm
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# 设置工作目录和环境变量
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WORKDIR /app
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ENV VIRTUAL_ENV=/opt/venv
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ENV PATH="/opt/venv/bin:$PATH"
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ENV PYTHONUNBUFFERED=1
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# 新增环境变量，用于区分Docker环境和本地环境
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ENV RUNNING_IN_DOCKER=true
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# 告知 Playwright 在哪里找到浏览器
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ENV PLAYWRIGHT_BROWSERS_PATH=/root/.cache/ms-playwright
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# 从 builder 阶段复制虚拟环境，这样我们就可以使用 playwright 命令
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COPY --from=builder ${VIRTUAL_ENV} ${VIRTUAL_ENV}
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# 安装所有运行浏览器所需的系统级依赖（包括libzbar0）和网络诊断工具
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RUN apt-get update \
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&& apt-get install -y --no-install-recommends \
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libzbar0 \
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curl \
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wget \
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iputils-ping \
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dnsutils \
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iproute2 \
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netcat-openbsd \
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telnet \
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&& playwright install-deps chromium \
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&& apt-get clean \
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&& rm -rf /var/lib/apt/lists/*
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# 从 builder 阶段复制预先下载好的浏览器
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COPY --from=builder /root/.cache/ms-playwright /root/.cache/ms-playwright
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# 复制应用代码
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# .dockerignore 文件会处理排除项
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COPY . .
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# 声明服务运行的端口
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EXPOSE 8000
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# 容器启动时执行的命令
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CMD ["python", "web_server.py"]
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