# 使用本地已有的沐曦 maca + PyTorch 2.8 + Python 3.10 镜像
# 驱动版本 maca 3.5.3.502，PyTorch 2.8，兼容性好
FROM cr.metax-tech.com/public-ai-release/maca/vllm-metax:0.19.0-maca.ai3.5.3.502-torch2.8-py310-ubuntu22.04-amd64

WORKDIR /app

# 设置 conda Python 路径（镜像使用 /opt/conda）
ENV PATH="/opt/conda/bin:$PATH"

# 升级 pip
RUN /opt/conda/bin/pip install --no-cache-dir --upgrade pip

# 复制依赖文件并安装（跳过 torch，镜像已自带）
COPY requirements.txt .
RUN /opt/conda/bin/pip install --no-cache-dir -r requirements.txt

# 复制应用代码
COPY . .

# 沐曦 maca 环境变量（镜像中通常已设置，这里显式声明）
ENV MACA_PATH=/opt/maca
ENV LD_LIBRARY_PATH=/opt/maca/lib:/opt/maca/mxgpu_llvm/lib:/opt/maca/ompi/lib:${LD_LIBRARY_PATH}
ENV MACA_CLANG_PATH=/opt/maca/mxgpu_llvm/bin

EXPOSE 8010

HEALTHCHECK --interval=30s --timeout=10s --start-period=60s --retries=3 \
    CMD /opt/conda/bin/python -c "import urllib.request; urllib.request.urlopen('http://localhost:8010/health')" || exit 1

CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "8010"]