# Stage 1: Build dependencies
FROM python:3.11-slim AS builder

RUN apt-get update && apt-get install -y --no-install-recommends \
    gcc g++ libffi-dev && \
    rm -rf /var/lib/apt/lists/*

WORKDIR /build
COPY pyproject.toml README.md ./
COPY skop_runner/ ./skop_runner/

# Install runner + data science packages in one layer
RUN pip install --no-cache-dir . \
    numpy pandas matplotlib seaborn scikit-learn \
    plotly scipy statsmodels pillow openpyxl xlsxwriter

# Stage 2: Runtime image
FROM python:3.11-slim

# Install minimal runtime deps (some native libs need shared objects)
RUN apt-get update && apt-get install -y --no-install-recommends \
    libgomp1 && \
    rm -rf /var/lib/apt/lists/*

# Copy installed packages from builder
COPY --from=builder /usr/local/lib/python3.11/site-packages /usr/local/lib/python3.11/site-packages
COPY --from=builder /usr/local/bin /usr/local/bin

# Create non-root user
RUN useradd -m -u 1000 appuser

# Copy demo project template
COPY templates/demo /templates/demo

# Set up workspace directory (will be a Fly volume mount point)
RUN mkdir -p /workspace && chown appuser:appuser /workspace

USER appuser
WORKDIR /workspace

# Runner reads config from env vars in cloud mode
ENV SKOP_CLOUD_RUNNER=true

CMD ["python", "-m", "skop_runner", "start"]
