Files
stack/infra/images/notebooks.Dockerfile
kert 8bd649d9ab feat: skinny packages, tree reorg, cloud abstraction (refs #182–#201)
P23 — Skinny Packages:
- Break conf→bib circular dependency with lazy guarded import
- Extract aco.table.base → conf.table_base (shared foundation)
- Add try/except ImportError guards on all cross-module imports
- Define per-module optional-dependencies in pyproject.toml
- Slim base deps to just pydantic; all heavy deps in optional groups
- Add gen_config.py --check validation for module/dep sync
- Add skinny-install CI matrix job (tests each extra in isolation)

P24 — Tree Reorganization:
- Move service configs to infra/ (traefik, coredns, grafana, etc.)
- Consolidate Dockerfiles under infra/images/
- Move styles/ → assets/css/ + assets/icons/ + assets/nature.py
- Update compose.yml, stack.toml, gen_config.py, all backend emitters
- Update bootstrap scripts and install_certs.sh

P25 — Cloud Provider Abstraction:
- Add cloud/ directory with self-hosted, aws, gcp, azure stubs
- Add cloud contexts (aws, gcp, azure) to stack.toml
- Add conf/storage.py — get_filesystem() dispatches per context
- Add aws, gcp, azure optional dependency groups
- Document service mapping for each provider

All 11955 tests pass. Zero functionality lost.
2026-03-24 15:00:26 -04:00

60 lines
2.1 KiB
Docker

# syntax=docker/dockerfile:1
FROM nvidia/cuda:12.6.0-runtime-ubuntu24.04
ARG USERNAME=kert
ARG USER_UID=1000
ARG USER_GID=1000
ARG PYTHON_VERSION=3.13
ENV DEBIAN_FRONTEND=noninteractive \
HOME=/home/kert \
PATH="/home/kert/.local/bin:${PATH}" \
NVIDIA_VISIBLE_DEVICES=all \
NVIDIA_DRIVER_CAPABILITIES=compute,utility
# System dependencies
RUN apt-get update && apt-get upgrade -y && apt-get install -y --no-install-recommends \
curl \
ca-certificates \
git \
build-essential \
&& rm -rf /var/lib/apt/lists/*
# Rename existing ubuntu user/group to kert and fix home ownership
RUN groupmod -n ${USERNAME} ubuntu \
&& usermod -l ${USERNAME} -d /home/${USERNAME} -m -s /bin/bash ubuntu \
&& chown -R ${USER_UID}:${USER_GID} /home/${USERNAME}
# Install uv
COPY --from=ghcr.io/astral-sh/uv:latest /uv /usr/local/bin/uv
COPY --from=ghcr.io/astral-sh/uv:latest /uvx /usr/local/bin/uvx
# Stay as root for rootless Docker compatibility
# (root in container = host user in rootless Docker)
WORKDIR /home/${USERNAME}
# Initialize uv project and install dependencies
RUN uv python install ${PYTHON_VERSION} \
&& uv init workspace --python ${PYTHON_VERSION} \
&& cd workspace \
&& uv add "marimo[recommended]" polars cudf-polars-cu12 pandas numpy pyarrow \
"pyiceberg[s3,pyarrow]>=0.7.0" "duckdb>=1.0.0" "narwhals>=1.0.0" "trino>=0.328.0" \
"sqlglot>=26.0.0" \
vega_datasets pyzotero obstore s3fs \
--extra-index-url https://pypi.nvidia.com
# Create marimo config directory and config
RUN mkdir -p /home/${USERNAME}/.config/marimo
COPY --chown=${USER_UID}:${USER_GID} .marimo.toml /home/${USERNAME}/.config/marimo/marimo.toml
COPY --chown=${USER_UID}:${USER_GID} .marimo-config/loch.css /home/${USERNAME}/.config/marimo/loch.css
EXPOSE 2718
HEALTHCHECK --interval=30s --timeout=5s --retries=3 \
CMD curl -sf http://localhost:2718/health || exit 1
CMD ["uv", "run", "--project", "/home/kert/workspace", \
"marimo", "edit", \
"--host", "0.0.0.0", "--port", "2718", "--headless", "--no-token", \
"/home/kert/notebooks"]