39 lines
1.0 KiB
Docker
39 lines
1.0 KiB
Docker
# Dockerfile — md-vector-db 生产镜像
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FROM python:3.13-slim-bookworm
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LABEL org.opencontainers.image.title="md-vector-db"
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LABEL org.opencontainers.image.description="Markdown 文档向量数据库"
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# 系统依赖
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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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&& rm -rf /var/lib/apt/lists/*
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WORKDIR /app
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# 先复制依赖文件以利用 Docker 层缓存
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COPY pyproject.toml uv.lock ./
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# 安装 uv 并同步依赖（CPU 模式）
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RUN pip install --no-cache-dir uv \
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&& uv sync --frozen --no-dev \
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&& uv cache clean
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# 复制源码和配置
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COPY config.yaml .env.example ./
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COPY src/ ./src/
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COPY scripts/ ./scripts/
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# 创建数据目录
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RUN mkdir -p /app/data
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# 暴露端口
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EXPOSE 8000
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# 健康检查
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HEALTHCHECK --interval=30s --timeout=10s --start-period=60s --retries=3 \
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CMD python -c "import urllib.request; urllib.request.urlopen('http://localhost:8000/api/v1/health')" || exit 1
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# 默认启动 HTTP 服务
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CMD ["uv", "run", "md-vector-db", "serve", "--port", "8000"]
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