server/Dockerfile

ARG BASE_IMAGE=ghcr.io/meta-pytorch/openenv-base:latest
FROM ${BASE_IMAGE} AS builder

RUN apt-get update && \
    apt-get install -y --no-install-recommends git curl && \
    rm -rf /var/lib/apt/lists/*

WORKDIR /app
COPY . /app/env
WORKDIR /app/env

RUN if ! command -v uv >/dev/null 2>&1; then \
        curl -LsSf https://astral.sh/uv/install.sh | sh && \
        mv /root/.local/bin/uv /usr/local/bin/uv; \
    fi

RUN --mount=type=cache,target=/root/.cache/uv \
    if [ -f uv.lock ]; then uv sync --frozen --no-install-project --no-editable; \
    else uv sync --no-install-project --no-editable; fi

RUN --mount=type=cache,target=/root/.cache/uv \
    if [ -f uv.lock ]; then uv sync --frozen --no-editable; \
    else uv sync --no-editable; fi

FROM ${BASE_IMAGE}
WORKDIR /app
COPY --from=builder /app/env/.venv /app/.venv
COPY --from=builder /app/env /app/env

ENV PATH="/app/.venv/bin:$PATH"
ENV PYTHONPATH="/app/env:$PYTHONPATH"
ENV ENABLE_WEB_INTERFACE=true
ENV WORKBOOKS_DIR=/app/env/workbooks
ENV SCENARIOS_DIR=/app/env/scenarios

EXPOSE 8000

HEALTHCHECK --interval=30s --timeout=5s --start-period=20s --retries=3 \
    CMD curl -sf http://localhost:8000/health || exit 1

CMD ["sh", "-c", "cd /app/env && uvicorn server.app:app --host 0.0.0.0 --port 8000"]