53 lines
1.4 KiB
Docker
53 lines
1.4 KiB
Docker
# 使用Python 3.12官方镜像作为基础镜像
|
|
FROM python:3.12-slim
|
|
|
|
# 设置工作目录
|
|
WORKDIR /app
|
|
|
|
# 设置环境变量
|
|
ENV PYTHONPATH=/app
|
|
ENV PYTHONUNBUFFERED=1
|
|
|
|
# 安装系统依赖
|
|
RUN apt-get update && apt-get install -y \
|
|
curl \
|
|
wget \
|
|
gnupg2 \
|
|
ca-certificates \
|
|
&& rm -rf /var/lib/apt/lists/*
|
|
|
|
# 安装Node.js (支持npx命令)
|
|
RUN curl -fsSL https://deb.nodesource.com/setup_20.x | bash - && \
|
|
apt-get install -y nodejs
|
|
|
|
# 安装uv (Python包管理器)
|
|
RUN curl -LsSf https://astral.sh/uv/install.sh | sh
|
|
|
|
# 设置环境变量以便访问uv
|
|
ENV PATH="/root/.cargo/bin:$PATH"
|
|
|
|
# 复制requirements文件并安装Python依赖
|
|
COPY requirements.txt .
|
|
RUN pip install --no-cache-dir -r requirements.txt
|
|
|
|
# 复制应用代码
|
|
COPY . .
|
|
|
|
# 创建必要的目录
|
|
RUN mkdir -p /app/projects
|
|
RUN mkdir -p /app/public
|
|
RUN mkdir -p /app/models
|
|
|
|
# 下载sentence-transformers模型到models目录
|
|
RUN python -c "from sentence_transformers import SentenceTransformer; model = SentenceTransformer('sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2'); model.save('/app/models/paraphrase-multilingual-MiniLM-L12-v2')"
|
|
|
|
# 暴露端口
|
|
EXPOSE 8001
|
|
|
|
# 健康检查
|
|
HEALTHCHECK --interval=30s --timeout=30s --start-period=5s --retries=3 \
|
|
CMD curl -f http://localhost:8001/api/health || exit 1
|
|
|
|
# 启动命令 - 使用优化的统一启动脚本
|
|
CMD ["python3", "start_unified.py", "--profile", "balanced"]
|