chore: Generate build artifacts for 1.2.2 release

build_artifacts/v1/v1.2/v1.2.2/Dockerfile

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+ARG TAG_FOR_BASE_MICROMAMBA_IMAGE
+FROM mambaorg/micromamba:$TAG_FOR_BASE_MICROMAMBA_IMAGE
+
+ARG CUDA_MAJOR_MINOR_VERSION=''
+ARG ENV_IN_FILENAME
+ARG ARG_BASED_ENV_IN_FILENAME
+
+ARG AMZN_BASE="/opt/amazon/sagemaker"
+ARG DIRECTORY_TREE_STAGE_DIR="${AMZN_BASE}/dir-staging"
+
+ARG NB_USER="sagemaker-user"
+ARG NB_UID=1000
+ARG NB_GID=100
+
+ENV SAGEMAKER_LOGGING_DIR="/var/log/sagemaker/"
+ENV STUDIO_LOGGING_DIR="/var/log/studio/"
+
+USER root
+RUN usermod "--login=${NB_USER}" "--home=/home/${NB_USER}" --move-home "-u ${NB_UID}" "${MAMBA_USER}" && \
+    groupmod "--new-name=${NB_USER}" --non-unique "-g ${NB_GID}" "${MAMBA_USER}" && \
+    # Update the expected value of MAMBA_USER for the
+    # _entrypoint.sh consistency check.
+    echo "${NB_USER}" > "/etc/arg_mamba_user" && \
+    :
+ENV MAMBA_USER=$NB_USER
+ENV USER=$NB_USER
+
+RUN apt-get update && \
+    apt-get install -y --no-install-recommends sudo gettext-base wget curl unzip git rsync build-essential openssh-client && \
+    # We just install tzdata below but leave default time zone as UTC. This helps packages like Pandas to function correctly.
+    DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends tzdata krb5-user libkrb5-dev libsasl2-dev libsasl2-modules && \
+    chmod g+w /etc/passwd && \
+    echo "ALL    ALL=(ALL)    NOPASSWD:    ALL" >> /etc/sudoers && \
+    touch /etc/krb5.conf.lock && chown ${NB_USER}:${MAMBA_USER} /etc/krb5.conf* && \
+    # Note that we do NOT run `rm -rf /var/lib/apt/lists/*` here. If we did, anyone building on top of our images will
+    # not be able to run any `apt-get install` commands and that would hamper customizability of the images.
+    curl "https://awscli.amazonaws.com/awscli-exe-linux-x86_64.zip" -o "awscliv2.zip" && \
+    unzip awscliv2.zip && \
+    sudo ./aws/install && \
+    rm -rf aws awscliv2.zip && \
+    :
+RUN echo "source /usr/local/bin/_activate_current_env.sh" | tee --append /etc/profile
+
+USER $MAMBA_USER
+COPY --chown=$MAMBA_USER:$MAMBA_USER $ENV_IN_FILENAME *.in /tmp/
+
+# Make sure that $ENV_IN_FILENAME has a newline at the end before the `tee` command runs. Otherwise, nasty things
+# will happen.
+RUN if [[ -z $ARG_BASED_ENV_IN_FILENAME ]] ; \
+    then echo 'No ARG_BASED_ENV_IN_FILENAME passed' ; \
+    else envsubst < /tmp/$ARG_BASED_ENV_IN_FILENAME | tee --append /tmp/$ENV_IN_FILENAME ; \
+    fi
+
+ARG CONDA_OVERRIDE_CUDA=$CUDA_MAJOR_MINOR_VERSION
+RUN micromamba install -y --name base --file /tmp/$ENV_IN_FILENAME && \
+    micromamba clean --all --yes --force-pkgs-dirs && \
+    rm -rf /tmp/*.in
+
+
+ARG MAMBA_DOCKERFILE_ACTIVATE=1
+RUN sudo ln -s $(which python3) /usr/bin/python
+
+# Install glue kernels, and move to shared directory
+# Also patching base kernel so Studio background code doesn't start session silently
+RUN install-glue-kernels && \
+    SITE_PACKAGES=$(pip show aws-glue-sessions | grep Location | awk '{print $2}') && \
+    jupyter-kernelspec install $SITE_PACKAGES/aws_glue_interactive_sessions_kernel/glue_pyspark --user && \
+    jupyter-kernelspec install $SITE_PACKAGES/aws_glue_interactive_sessions_kernel/glue_spark --user && \
+    mv /home/sagemaker-user/.local/share/jupyter/kernels/glue_pyspark /opt/conda/share/jupyter/kernels && \
+    mv /home/sagemaker-user/.local/share/jupyter/kernels/glue_spark /opt/conda/share/jupyter/kernels && \
+    sed -i '/if not store_history and (/i\        if "sm_analytics_runtime_check" in code:\n            return await self._complete_cell()\n' \
+    "$SITE_PACKAGES/aws_glue_interactive_sessions_kernel/glue_kernel_base/BaseKernel.py"
+
+
+# Patch glue kernels to use kernel wrapper
+COPY patch_glue_pyspark.json /opt/conda/share/jupyter/kernels/glue_pyspark/kernel.json
+COPY patch_glue_spark.json /opt/conda/share/jupyter/kernels/glue_spark/kernel.json
+
+USER root
+RUN HOME_DIR="/home/${NB_USER}/licenses" \
+    && mkdir -p ${HOME_DIR} \
+    && curl -o ${HOME_DIR}/oss_compliance.zip https://aws-dlinfra-utilities.s3.amazonaws.com/oss_compliance.zip \
+    && unzip ${HOME_DIR}/oss_compliance.zip -d ${HOME_DIR}/ \
+    && cp ${HOME_DIR}/oss_compliance/test/testOSSCompliance /usr/local/bin/testOSSCompliance \
+    && chmod +x /usr/local/bin/testOSSCompliance \
+    && chmod +x ${HOME_DIR}/oss_compliance/generate_oss_compliance.sh \
+    && ${HOME_DIR}/oss_compliance/generate_oss_compliance.sh ${HOME_DIR} python \
+    && rm -rf ${HOME_DIR}/oss_compliance*
+
+# Merge in OS directory tree contents.
+RUN mkdir -p ${DIRECTORY_TREE_STAGE_DIR}
+COPY dirs/ ${DIRECTORY_TREE_STAGE_DIR}/
+RUN rsync -a ${DIRECTORY_TREE_STAGE_DIR}/ / && \
+    rm -rf ${DIRECTORY_TREE_STAGE_DIR}
+
+# Create logging directories for supervisor
+RUN mkdir -p $SAGEMAKER_LOGGING_DIR && \
+    chmod a+rw $SAGEMAKER_LOGGING_DIR && \
+    mkdir -p ${STUDIO_LOGGING_DIR} && \
+    chown ${NB_USER}:${MAMBA_USER} ${STUDIO_LOGGING_DIR}
+
+# Create supervisord runtime directory
+RUN mkdir -p /var/run/supervisord && \
+    chmod a+rw /var/run/supervisord
+
+USER $MAMBA_USER
+ENV PATH="/opt/conda/bin:/opt/conda/condabin:$PATH"
+WORKDIR "/home/${NB_USER}"
+
+# Install Kerberos.
+# Make sure no dependency is added/updated
+RUN pip install "krb5>=0.5.1,<0.6" && \
+    pip show krb5 | grep Require | xargs -i sh -c '[ $(echo {} | cut -d: -f2 | wc -w) -eq 0 ] '
+
+# https://stackoverflow.com/questions/122327
+RUN SYSTEM_PYTHON_PATH=$(python3 -c "from __future__ import print_function;import sysconfig; print(sysconfig.get_paths().get('purelib'))") && \
+    # Remove SparkRKernel as it's not supported \
+    jupyter-kernelspec remove -f -y sparkrkernel && \
+    # Patch Sparkmagic lib to support Custom Certificates \
+    # https://github.com/jupyter-incubator/sparkmagic/pull/435/files \
+    cp -a ${SYSTEM_PYTHON_PATH}/sagemaker_studio_analytics_extension/patches/configuration.py ${SYSTEM_PYTHON_PATH}/sparkmagic/utils/ && \
+    cp -a ${SYSTEM_PYTHON_PATH}/sagemaker_studio_analytics_extension/patches/reliablehttpclient.py ${SYSTEM_PYTHON_PATH}/sparkmagic/livyclientlib/reliablehttpclient.py && \
+    sed -i 's=  "python"=  "/opt/conda/bin/python"=g'  /opt/conda/share/jupyter/kernels/pysparkkernel/kernel.json /opt/conda/share/jupyter/kernels/sparkkernel/kernel.json && \
+    sed -i 's="Spark"="SparkMagic Spark"=g'  /opt/conda/share/jupyter/kernels/sparkkernel/kernel.json && \
+    sed -i 's="PySpark"="SparkMagic PySpark"=g'  /opt/conda/share/jupyter/kernels/pysparkkernel/kernel.json
+
+ENV SHELL=/bin/bash

build_artifacts/v1/v1.2/v1.2.2/cpu.env.in

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+# This file is auto-generated.
+conda-forge::pytorch[version='>=2.0.0,<2.1.0']
+conda-forge::tensorflow[version='>=2.12.1,<2.13.0']
+conda-forge::python[version='>=3.10.13,<3.11.0']
+conda-forge::pip[version='>=23.3.2,<23.4.0']
+conda-forge::torchvision[version='>=0.15.2,<0.16.0']
+conda-forge::numpy[version='>=1.26.3,<1.27.0']
+conda-forge::pandas[version='>=2.1.4,<2.2.0']
+conda-forge::scikit-learn[version='>=1.3.2,<1.4.0']
+conda-forge::jinja2[version='>=3.1.3,<3.2.0']
+conda-forge::matplotlib[version='>=3.8.2,<3.9.0']
+conda-forge::sagemaker-headless-execution-driver[version='>=0.0.12,<0.1.0']
+conda-forge::ipython[version='>=8.17.2,<8.18.0']
+conda-forge::scipy[version='>=1.11.4,<1.12.0']
+conda-forge::keras[version='>=2.12.0,<2.13.0']
+conda-forge::py-xgboost-cpu[version='>=1.7.6,<1.8.0']
+conda-forge::jupyterlab[version='>=4.0.12,<4.1.0']
+conda-forge::ipywidgets[version='>=8.1.1,<8.2.0']
+conda-forge::conda[version='>=23.10.0,<23.11.0']
+conda-forge::boto3[version='>=1.28.64,<1.29.0']
+conda-forge::sagemaker-python-sdk[version='>=2.197.1,<2.198.0']
+conda-forge::supervisor[version='>=4.2.5,<4.3.0']
+conda-forge::autogluon[version='>=0.8.2,<0.9.0']
+conda-forge::aws-glue-sessions[version='>=1.0.4,<1.1.0']
+conda-forge::sagemaker-kernel-wrapper[version='>=0.0.2,<0.1.0']
+conda-forge::jupyter-ai[version='>=2.5.0,<2.6.0']
+conda-forge::jupyter-scheduler[version='>=2.3.0,<2.4.0']
+conda-forge::nodejs[version='>=18.17.1,<18.18.0']
+conda-forge::jupyter-lsp[version='>=2.2.2,<2.3.0']
+conda-forge::python-lsp-server[version='>=1.9.0,<1.10.0']
+conda-forge::notebook[version='>=7.0.7,<7.1.0']
+conda-forge::altair[version='>=5.1.2,<5.2.0']
+conda-forge::sagemaker-studio-analytics-extension[version='>=0.0.21,<0.1.0']
+conda-forge::jupyter-dash[version='>=0.4.2,<0.5.0']
+conda-forge::sagemaker-jupyterlab-extension[version='>=0.1.9,<0.2.0']
+conda-forge::sagemaker-jupyterlab-emr-extension[version='>=0.1.9,<0.2.0']
+conda-forge::amazon-sagemaker-jupyter-scheduler[version='>=3.0.6,<3.1.0']
+conda-forge::jupyter-server-proxy[version='>=4.1.0,<4.2.0']
+conda-forge::amazon-codewhisperer-jupyterlab-ext[version='>=2.0.1,<2.1.0']

build_artifacts/v1/v1.2/v1.2.2/dirs/etc/conda/.condarc

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+envs_dirs:
+   - ~/.conda/envs
+   - /opt/conda/envs
+pkgs_dirs:
+  - ~/.conda/pkgs
+  - /opt/conda/pkgs

build_artifacts/v1/v1.2/v1.2.2/dirs/etc/jupyter/jupyter_server_config.py

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+# Default Jupyter server config
+# Note: those config can be overridden by user-level configs. 
+
+c.ServerApp.terminado_settings = { 'shell_command': ['/bin/bash'] }
+c.ServerApp.tornado_settings = { 'compress_response': True }
+
+# Do not delete files to trash. Instead, permanently delete files. 
+c.FileContentsManager.delete_to_trash = False
+
+# Allow deleting non-empty directory via file browser
+# Related documentation: https://github.com/jupyter-server/jupyter_server/blob/main/jupyter_server/services/contents/filemanager.py#L125-L129
+c.FileContentsManager.always_delete_dir = True
+
+# Enable `allow_hidden` by default, so hidden files are accessible via Jupyter server
+# Related documentation: https://jupyterlab.readthedocs.io/en/stable/user/files.html#displaying-hidden-files
+c.ContentsManager.allow_hidden = True

build_artifacts/v1/v1.2/v1.2.2/dirs/etc/supervisor/conf.d/supervisord.conf

@@ -0,0 +1,27 @@
+[supervisord]
+nodaemon=true
+
+pidfile=/var/run/supervisord/supervisord.pid
+logfile=%(ENV_STUDIO_LOGGING_DIR)s/%(ENV_SAGEMAKER_APP_TYPE_LOWERCASE)s/supervisord/supervisord.log
+logfile_maxbytes=5MB
+logfile_backups=10
+redirect_stderr=true
+
+[unix_http_server]
+file=/var/run/supervisord/supervisor.sock
+chmod=0700
+
+[supervisorctl]
+serverurl=unix:///var/run/supervisord/supervisor.sock
+
+[rpcinterface:supervisor]
+supervisor.rpcinterface_factory = supervisor.rpcinterface:make_main_rpcinterface
+
+[program:jupyterlabserver]
+directory=%(ENV_HOME)s
+command=start-jupyter-server
+stopasgroup=true
+stdout_logfile=/dev/stdout
+stdout_logfile_maxbytes=0
+stderr_logfile=/dev/stderr
+stderr_logfile_maxbytes=0

build_artifacts/v1/v1.2/v1.2.2/dirs/usr/local/bin/entrypoint-jupyter-server

@@ -0,0 +1,19 @@
+#!/bin/bash
+
+set -e
+
+# Generate and execute the shell code to modifies shell variables to include
+# micromamba commands (e.g. using `micromamba activate` to activate environments)
+eval "$(micromamba shell hook --shell=bash)"
+
+# Activate conda environment 'base', where supervisord is installed
+micromamba activate base
+
+# Set up SAGEMAKER_APP_TYPE_LOWERCASE based on SAGEMAKER_APP_TYPE
+export SAGEMAKER_APP_TYPE_LOWERCASE=$(echo $SAGEMAKER_APP_TYPE | tr '[:upper:]' '[:lower:]')
+
+# Start supervisord with supervisord configuration
+# Since program 'jupyterlabserver' autostarts by default, it will be started
+# automatically along with supervisord
+mkdir -p $STUDIO_LOGGING_DIR/$SAGEMAKER_APP_TYPE_LOWERCASE/supervisord
+exec supervisord -c /etc/supervisor/conf.d/supervisord.conf -n

build_artifacts/v1/v1.2/v1.2.2/dirs/usr/local/bin/restart-jupyter-server

@@ -0,0 +1,6 @@
+#!/bin/bash
+set -e
+echo "Restarting the Jupyter server. This page should refresh in a few seconds. Note that any terminals will be closed."
+echo "If this page doesn't refresh after a few seconds, try reloading your browser window."
+echo "Restarting now..."
+nohup supervisorctl -c /etc/supervisor/conf.d/supervisord.conf restart jupyterlabserver > /dev/null 2>&1 &

build_artifacts/v1/v1.2/v1.2.2/dirs/usr/local/bin/start-jupyter-server

@@ -0,0 +1,21 @@
+#!/bin/bash
+set -e
+
+eval "$(micromamba shell hook --shell=bash)"
+
+# Activate conda environment 'base', which is the default environment for Cosmos
+micromamba activate base
+
+# Start Jupyter server
+if [ -n "$SAGEMAKER_APP_TYPE_LOWERCASE" ]; then
+  # SAGEMAKER_APP_TYPE is set, indicating the server is running within a SageMaker
+  # app. Configure the base url to be `/<app-type-in-lower-case>/default`.
+  jupyter lab --ip 0.0.0.0 --port 8888 \
+    --ServerApp.base_url="/$SAGEMAKER_APP_TYPE_LOWERCASE/default" \
+    --ServerApp.token='' \
+    --ServerApp.allow_origin='*'
+else
+  jupyter lab --ip 0.0.0.0 --port 8888 \
+    --ServerApp.token='' \
+    --ServerApp.allow_origin='*'
+fi

build_artifacts/v1/v1.2/v1.2.2/gpu.arg_based_env.in

@@ -0,0 +1 @@
+conda-forge::cudatoolkit=$CUDA_MAJOR_MINOR_VERSION

build_artifacts/v1/v1.2/v1.2.2/gpu.env.in

@@ -0,0 +1,39 @@
+# This file is auto-generated.
+conda-forge::pytorch-gpu[version='>=2.0.0,<2.1.0']
+conda-forge::tensorflow[version='>=2.12.1,<2.13.0']
+conda-forge::python[version='>=3.10.13,<3.11.0']
+conda-forge::pip[version='>=23.3.2,<23.4.0']
+conda-forge::torchvision[version='>=0.15.2,<0.16.0']
+conda-forge::numpy[version='>=1.26.3,<1.27.0']
+conda-forge::pandas[version='>=2.1.4,<2.2.0']
+conda-forge::scikit-learn[version='>=1.3.2,<1.4.0']
+conda-forge::jinja2[version='>=3.1.3,<3.2.0']
+conda-forge::matplotlib[version='>=3.8.2,<3.9.0']
+conda-forge::sagemaker-headless-execution-driver[version='>=0.0.12,<0.1.0']
+conda-forge::ipython[version='>=8.17.2,<8.18.0']
+conda-forge::scipy[version='>=1.11.4,<1.12.0']
+conda-forge::keras[version='>=2.12.0,<2.13.0']
+conda-forge::py-xgboost-gpu[version='>=1.7.6,<1.8.0']
+conda-forge::jupyterlab[version='>=4.0.12,<4.1.0']
+conda-forge::ipywidgets[version='>=8.1.1,<8.2.0']
+conda-forge::conda[version='>=23.10.0,<23.11.0']
+conda-forge::boto3[version='>=1.28.64,<1.29.0']
+conda-forge::sagemaker-python-sdk[version='>=2.197.1,<2.198.0']
+conda-forge::supervisor[version='>=4.2.5,<4.3.0']
+conda-forge::autogluon[version='>=0.8.2,<0.9.0']
+conda-forge::aws-glue-sessions[version='>=1.0.4,<1.1.0']
+conda-forge::sagemaker-kernel-wrapper[version='>=0.0.2,<0.1.0']
+conda-forge::jupyter-ai[version='>=2.5.0,<2.6.0']
+conda-forge::jupyter-scheduler[version='>=2.3.0,<2.4.0']
+conda-forge::nodejs[version='>=18.17.1,<18.18.0']
+conda-forge::jupyter-lsp[version='>=2.2.2,<2.3.0']
+conda-forge::python-lsp-server[version='>=1.9.0,<1.10.0']
+conda-forge::notebook[version='>=7.0.7,<7.1.0']
+conda-forge::altair[version='>=5.1.2,<5.2.0']
+conda-forge::sagemaker-studio-analytics-extension[version='>=0.0.21,<0.1.0']
+conda-forge::jupyter-dash[version='>=0.4.2,<0.5.0']
+conda-forge::sagemaker-jupyterlab-extension[version='>=0.1.9,<0.2.0']
+conda-forge::sagemaker-jupyterlab-emr-extension[version='>=0.1.9,<0.2.0']
+conda-forge::amazon-sagemaker-jupyter-scheduler[version='>=3.0.6,<3.1.0']
+conda-forge::jupyter-server-proxy[version='>=4.1.0,<4.2.0']
+conda-forge::amazon-codewhisperer-jupyterlab-ext[version='>=2.0.1,<2.1.0']

build_artifacts/v1/v1.2/v1.2.2/patch_glue_pyspark.json

@@ -0,0 +1,15 @@
+{
+  "argv": [
+    "/opt/conda/bin/python",
+    "-m",
+    "sagemaker_kernel_wrapper.sm_gis_wrapper",
+    "-m",
+    "aws_glue_interactive_sessions_kernel.glue_pyspark.GlueKernel",
+    "-f",
+    "{connection_file}"
+  ],
+  "display_name": "Glue PySpark and Ray",
+  "env": {"request_origin": "SageMakerStudioPySparkNotebook", "glue_version": "3.0"},
+  "language": "python"
+}
+

build_artifacts/v1/v1.2/v1.2.2/patch_glue_spark.json

@@ -0,0 +1,15 @@
+{
+  "argv": [
+    "/opt/conda/bin/python",
+    "-m",
+    "sagemaker_kernel_wrapper.sm_gis_wrapper",
+    "-m",
+    "aws_glue_interactive_sessions_kernel.glue_spark.GlueKernel",
+    "-f",
+    "{connection_file}"
+  ],
+  "display_name": "Glue Spark",
+  "env": {"request_origin": "SageMakerStudioSparkNotebook", "glue_version": "3.0"},
+  "language": "python"
+}
+

build_artifacts/v1/v1.2/v1.2.2/source-version.txt

@@ -0,0 +1 @@
+1.2.1