mirror of
https://github.com/camel-ai/owl.git
synced 2026-03-22 14:07:17 +08:00
57 lines
1.9 KiB
Docker
57 lines
1.9 KiB
Docker
FROM python:3.10-slim
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WORKDIR /app
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# 设置pip镜像源以加速下载
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RUN pip config set global.index-url https://pypi.tuna.tsinghua.edu.cn/simple
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# 优化apt安装，减少层数
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RUN apt-get update && apt-get install -y --no-install-recommends \
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build-essential \
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curl \
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software-properties-common \
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git \
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ffmpeg \
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libsm6 \
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libxext6 \
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# 添加xvfb和相关依赖
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xvfb \
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xauth \
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x11-utils \
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&& apt-get clean \
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&& rm -rf /var/lib/apt/lists/*
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# 先复制并安装requirements.txt，利用Docker缓存机制
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COPY requirements.txt .
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# 启用pip缓存以加速构建
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RUN pip install -r requirements.txt
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# 安装 Playwright 依赖（使用国内镜像源）
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ENV PLAYWRIGHT_BROWSERS_PATH=/root/.cache/ms-playwright
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ENV PLAYWRIGHT_DOWNLOAD_HOST=https://npmmirror.com/mirrors/playwright
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RUN pip install playwright && \
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playwright install --with-deps chromium
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# 复制项目文件
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COPY owl/ ./owl/
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COPY licenses/ ./licenses/
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COPY assets/ ./assets/
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COPY README.md .
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COPY README_zh.md .
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# 设置环境变量文件
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COPY owl/.env_template ./owl/.env
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# 设置工作目录
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WORKDIR /app/owl
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# 创建启动脚本
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RUN echo '#!/bin/bash\nxvfb-run --auto-servernum --server-args="-screen 0 1280x960x24" python "$@"' > /usr/local/bin/xvfb-python && \
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chmod +x /usr/local/bin/xvfb-python
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# 创建欢迎脚本
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RUN echo '#!/bin/bash\necho "欢迎使用OWL项目Docker环境！"\necho ""\necho "可用的脚本:"\nls -1 *.py | grep -v "__" | sed "s/^/- /"\necho ""\necho "运行示例:"\necho " xvfb-python run.py # 运行默认脚本"\necho " xvfb-python run_deepseek_example.py # 运行DeepSeek示例"\necho ""\necho "或者使用自定义查询:"\necho " xvfb-python run.py \"你的问题\""\necho ""' > /usr/local/bin/owl-welcome && \
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chmod +x /usr/local/bin/owl-welcome
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# 容器启动命令（改为交互式shell）
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CMD ["/bin/bash", "-c", "owl-welcome && /bin/bash"] |