# 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 + core data science packages
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

# Install uv for fast package management (cloud runners)
COPY --from=ghcr.io/astral-sh/uv:0.6 /uv /usr/local/bin/uv

# Node.js 22 for Claude Code CLI (experiment executor)
COPY --from=node:22-slim /usr/local/bin/node /usr/local/bin/node
COPY --from=node:22-slim /usr/local/lib/node_modules /usr/local/lib/node_modules
RUN ln -s ../lib/node_modules/npm/bin/npm-cli.js /usr/local/bin/npm && \
    ln -s ../lib/node_modules/npm/bin/npx-cli.js /usr/local/bin/npx
RUN npm install -g @anthropic-ai/claude-code && \
    which claude && claude --version

# 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"]
