Dockerfile

FROM python:3.10

# 安装系统依赖（libGL 等）
RUN apt-get update && \
    apt-get install -y --no-install-recommends \
        libgl1 \
        build-essential \
        libglib2.0-0 \
        libsm6 \
        libxext6 \
        libxrender-dev && \
    rm -rf /var/lib/apt/lists/*

# 创建非 root 用户
RUN useradd -m -u 1000 user && \
    python -m pip install --upgrade pip



USER user
ENV PATH="/home/user/.local/bin:$PATH"
WORKDIR /app

# 拷贝代码和 requirements
COPY --chown=user ./plantcv /app/plantcv
COPY --chown=user ./requirements.txt requirements.txt
COPY --chown=user ./data/jpg/ /app/data/jpg/
COPY --chown=user ./data/sample/ /app/data/sample/
COPY --chown=user ./output/kmeans/ /app/output/kmeans/

# 测试：查看刚拷贝进去的内容
RUN ls -l /app/plantcv | head -n 20 \
 && ls -l /app/data/jpg | head -n 20 \
 && ls -l /app/data/sample | head -n 20 \
 && ls -l /app/output/kmeans | head -n 20

# 安装 Python 依赖
RUN pip install --user --no-cache-dir -r requirements.txt

# 复制修补脚本
COPY patch_plantcv.py .

# 执行修补
RUN echo "开始修补 PlantCV..." && \
    python patch_plantcv.py && \
    echo "PlantCV 修补完成"


# 设置 PYTHONPATH 使用源码
ENV PYTHONPATH=/app/plantcv/source:$PYTHONPATH

# 验证修补是否成功
RUN python -c "from plantcv.utils import sample_images; print('✅ PlantCV sample_images 导入成功')"

RUN ls -l /app && ls -l /app/data/sample


# MCP 服务端配置
EXPOSE 7860
ENV MCP_TRANSPORT=http
ENV MCP_PORT=7860

# 启动 MCP 服务
CMD ["python", "plantcv/mcp_output/start_mcp.py"]