Make the base & minimal notebook containers not amd specific (e.g. support building for arm64) (#1368)

* Dynamically select the right miniforge arch and unpin the ROOT_CONTAINER so that buildx can build arm64 and amd64

cleanup

* Remove the commented out hard set of arch

* Address code review comments from mathbunnyru

* Add setting the owner to respective dockerhbub username

* Revert "Add setting the owner to respective dockerhbub username"

This reverts commit a8d9c46.

* Fix up the dockerfile, make the default buildx compatible with the CI and add a comment about how to do cross-platform builds.

* Update the docs

* Refactor the Makefile to support cross-building images incrementally, add ARG OWNER to the Dockerfile's so people can more easily push to their own, add docker buildx & ARM64 support to the CI

* Simplify build-test-all rule

* Match patch version

* Run prettier on docker.yml

* Declare and export seperately per docker lint

* Skip CI changes

* Revert the makefile changes

* Update the Arch comment to match

* back out unrelated changes

Author: holdenk

README.md

@@ -104,3 +104,7 @@ This change is tracked in the issue [#1217](https://github.com/jupyter/docker-st
 - [Jupyter Discourse Forum](https://discourse.jupyter.org/)
 - [Jupyter Website](https://jupyter.org)
 - [Images on DockerHub](https://hub.docker.com/u/jupyter)
+
+## Architectures
+
+Currently published containers only support x86, some containers may support cross-building with docker buildx.

base-notebook/Dockerfile

@@ -3,11 +3,9 @@
 
 # Ubuntu 20.04 (focal)
 # https://hub.docker.com/_/ubuntu/?tab=tags&name=focal
-# OS/ARCH: linux/amd64
-ARG ROOT_CONTAINER=ubuntu:focal-20210609@sha256:376209074d481dca0a9cf4282710cd30a9e7ff402dea8261acdaaf57a18971dd
+ARG ROOT_CONTAINER=ubuntu:focal-20210609
 
-ARG BASE_CONTAINER=$ROOT_CONTAINER
-FROM $BASE_CONTAINER
+FROM $ROOT_CONTAINER
 
 LABEL maintainer="Jupyter Project <jupyter@googlegroups.com>"
 ARG NB_USER="jovyan"
@@ -27,19 +25,13 @@ USER root
 ARG conda_version="4.10.2"
 # Miniforge installer patch version
 ARG miniforge_patch_number="0"
-# Miniforge installer architecture
-ARG miniforge_arch="x86_64"
 # Package Manager and Python implementation to use (https://github.com/conda-forge/miniforge)
 # - conda only: either Miniforge3 to use Python or Miniforge-pypy3 to use PyPy
 # - conda + mamba: either Mambaforge to use Python or Mambaforge-pypy3 to use PyPy
 ARG miniforge_python="Mambaforge"
-
 # Miniforge archive to install
 ARG miniforge_version="${conda_version}-${miniforge_patch_number}"
-# Miniforge installer
-ARG miniforge_installer="${miniforge_python}-${miniforge_version}-Linux-${miniforge_arch}.sh"
-# Miniforge checksum
-ARG miniforge_checksum="1e89ee86afa06e23b2478579be16a33fff6cff346314f6a6382fd20b1f83e669"
+
 
 # Install all OS dependencies for notebook server that starts but lacks all
 # features (e.g., download as all possible file formats)
@@ -104,8 +96,16 @@ RUN mkdir "/home/${NB_USER}/work" && \
 WORKDIR /tmp
 
 # Prerequisites installation: conda, mamba, pip, tini
-RUN wget --quiet "https://github.com/conda-forge/miniforge/releases/download/${miniforge_version}/${miniforge_installer}" && \
-    echo "${miniforge_checksum} *${miniforge_installer}" | sha256sum --check && \
+RUN set -x && \
+    # Miniforge installer
+    miniforge_arch=$(uname -m) && \
+    export miniforge_arch && \
+    if [ "$miniforge_arch" == "aarm64" ]; then \
+      miniforge_arch="arm64"; \
+    fi; \
+    miniforge_installer="${miniforge_python}-${miniforge_version}-Linux-${miniforge_arch}.sh" && \
+    export miniforge_installer && \
+    wget --quiet "https://github.com/conda-forge/miniforge/releases/download/${miniforge_version}/${miniforge_installer}" && \
     /bin/bash "${miniforge_installer}" -f -b -p "${CONDA_DIR}" && \
     rm "${miniforge_installer}" && \
     # Conda configuration see https://conda.io/projects/conda/en/latest/configuration.html

docs/index.rst

@@ -44,6 +44,11 @@ Docker destroys the container after notebook server exit, but any files written
 
     docker run --rm -p 10000:8888 -e JUPYTER_ENABLE_LAB=yes -v "${PWD}":/home/jovyan/work jupyter/datascience-notebook:33add21fab64
 
+Architectures
+-----------
+Currently published containers only support x86, some containers may support cross-building with docker buildx.
+
+
 Table of Contents
 -----------------