mirror of
https://github.com/camel-ai/owl.git
synced 2025-12-26 10:07:51 +08:00
60 lines
2.2 KiB
Docker
60 lines
2.2 KiB
Docker
FROM python:3.10-slim
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# 设置环境变量
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ENV PYTHONDONTWRITEBYTECODE=1 \
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PYTHONUNBUFFERED=1 \
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PIP_NO_CACHE_DIR=0 \
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PIP_INDEX_URL=https://pypi.tuna.tsinghua.edu.cn/simple \
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PLAYWRIGHT_DOWNLOAD_HOST=https://npmmirror.com/mirrors/playwright \
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PLAYWRIGHT_BROWSERS_PATH=/root/.cache/ms-playwright \
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DEBIAN_FRONTEND=noninteractive
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# 设置工作目录
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WORKDIR /app
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# 安装系统依赖（合并为一个RUN命令减少层数）
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RUN apt-get update && apt-get install -y --no-install-recommends \
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curl git ffmpeg libsm6 libxext6 xvfb xauth x11-utils \
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vim \
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build-essential python3-dev \
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&& apt-get clean \
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&& rm -rf /var/lib/apt/lists/*
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# 复制pyproject.toml文件
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COPY pyproject.toml .
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COPY README.md .
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# 安装uv工具
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RUN pip install uv
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# 创建虚拟环境并安装依赖
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RUN uv venv .venv --python=3.10 && \
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. .venv/bin/activate && \
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uv pip install -e .
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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 examples/ ./examples/
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COPY README_zh.md .
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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 "Welcome to OWL Project Docker environment!"\necho ""\necho "可用的脚本 | Available scripts:"\nls -1 *.py | grep -v "__" | sed "s/^/- /"\necho ""\necho "运行示例 | Run examples:"\necho " xvfb-python run.py # 运行默认脚本 | Run default script"\necho " xvfb-python run_deepseek_example.py # 运行DeepSeek示例 | Run DeepSeek example"\necho ""\necho "或者使用自定义查询 | Or use custom query:"\necho " xvfb-python run.py \"你的问题 | Your question\""\necho ""' > /usr/local/bin/owl-welcome && \
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chmod +x /usr/local/bin/owl-welcome
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# 设置工作目录
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WORKDIR /app/owl
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# 添加健康检查
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HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \
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CMD python -c "import sys; sys.exit(0 if __import__('os').path.exists('/app/owl') else 1)"
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# 容器启动命令
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CMD ["/bin/bash", "-c", "owl-welcome && /bin/bash"] |