hf-eda-mcp / Dockerfile
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Deployment on hf spaces
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# Multi-stage build for hf-eda-mcp server
FROM python:3.13-slim as builder
# Set working directory
WORKDIR /app
# Install system dependencies
RUN apt-get update && apt-get install -y \
git \
&& rm -rf /var/lib/apt/lists/*
# Install PDM
RUN pip install --no-cache-dir pdm
# Copy dependency files
COPY pyproject.toml pdm.lock* ./
# Install dependencies
RUN pdm install --prod --no-lock --no-editable
# Production stage
FROM python:3.13-slim
# Set working directory
WORKDIR /app
# Install runtime dependencies
RUN apt-get update && apt-get install -y \
git \
&& rm -rf /var/lib/apt/lists/*
# Copy installed dependencies from builder
COPY --from=builder /app/.venv /app/.venv
# Copy application code
COPY src/ ./src/
COPY README.md LICENSE ./
# Set environment variables
ENV PATH="/app/.venv/bin:$PATH"
ENV PYTHONUNBUFFERED=1
ENV GRADIO_SERVER_NAME="0.0.0.0"
ENV GRADIO_SERVER_PORT=7860
# Expose Gradio port
EXPOSE 7860
# Health check
HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \
CMD python -c "import requests; requests.get('http://localhost:7860/health', timeout=5)"
# Run the MCP server
CMD ["python", "-m", "hf_eda_mcp"]