release: v2.8.5

build_artifacts/v2/v2.8/v2.8.5/CHANGELOG-cpu.md

@@ -0,0 +1,15 @@
+# Change log: 2.8.5(cpu)
+
+## Upgrades: 
+
+Package | Previous Version | Current Version
+---|---|---
+jupyterlab|4.4.7|4.4.10
+amazon-sagemaker-jupyter-ai-q-developer|1.2.7|1.2.8
+amazon_sagemaker_sql_editor|0.1.18|0.1.19
+matplotlib-base|3.10.6|3.10.7
+notebook|7.4.5|7.4.7
+sagemaker-code-editor|1.6.3|1.6.2
+sagemaker-studio|1.0.21|1.0.22
+sagemaker-studio-dataengineering-extensions|1.1.4|1.1.5
+sagemaker-studio-dataengineering-sessions|1.1.5|1.1.8

build_artifacts/v2/v2.8/v2.8.5/CHANGELOG-gpu.md

@@ -0,0 +1,15 @@
+# Change log: 2.8.5(gpu)
+
+## Upgrades: 
+
+Package | Previous Version | Current Version
+---|---|---
+jupyterlab|4.4.7|4.4.10
+amazon-sagemaker-jupyter-ai-q-developer|1.2.7|1.2.8
+amazon_sagemaker_sql_editor|0.1.18|0.1.19
+matplotlib-base|3.10.6|3.10.7
+notebook|7.4.5|7.4.7
+sagemaker-code-editor|1.6.3|1.6.2
+sagemaker-studio|1.0.21|1.0.22
+sagemaker-studio-dataengineering-extensions|1.1.4|1.1.5
+sagemaker-studio-dataengineering-sessions|1.1.5|1.1.8

build_artifacts/v2/v2.8/v2.8.5/Dockerfile

@@ -0,0 +1,216 @@
+ARG TAG_FOR_BASE_MICROMAMBA_IMAGE
+FROM mambaorg/micromamba:$TAG_FOR_BASE_MICROMAMBA_IMAGE
+
+ARG CUDA_MAJOR_MINOR_VERSION=''
+ARG ENV_IN_FILENAME
+ARG PINNED_ENV_IN_FILENAME
+ARG ARG_BASED_ENV_IN_FILENAME
+ARG IMAGE_VERSION
+LABEL "org.amazon.sagemaker-distribution.image.version"=$IMAGE_VERSION
+
+ARG AMZN_BASE="/opt/amazon/sagemaker"
+ARG DB_ROOT_DIR="/opt/db"
+ARG DIRECTORY_TREE_STAGE_DIR="${AMZN_BASE}/dir-staging"
+
+ARG NB_USER="sagemaker-user"
+ARG NB_UID=1000
+ARG NB_GID=100
+
+# https://www.openssl.org/source/
+ARG FIPS_VALIDATED_SSL=3.0.8
+ARG MIN_REQUIRED_MICROMAMBA_VERSION=1.5.11
+
+ENV SAGEMAKER_LOGGING_DIR="/var/log/sagemaker/"
+ENV STUDIO_LOGGING_DIR="/var/log/studio/"
+ENV EDITOR="nano"
+ENV IMAGE_VERSION=$IMAGE_VERSION
+ENV PINNED_MICROMAMBA_MINOR_VERSION="1.5.*"
+ENV SAGEMAKER_RECOVERY_MODE_HOME=/tmp/sagemaker-recovery-mode-home
+
+USER root
+# Upgrade micromamba to the latest patch version in the pinned minor version range, if applicable
+RUN CURRENT_MICROMAMBA_VERSION=$(micromamba --version) && \
+    echo "Current micromamba version: $CURRENT_MICROMAMBA_VERSION" && \
+    if [[ "$CURRENT_MICROMAMBA_VERSION" == $PINNED_MICROMAMBA_MINOR_VERSION ]]; then \
+        echo "Upgrading micromamba to the latest $PINNED_MICROMAMBA_MINOR_VERSION version..." && \
+        micromamba self-update -c conda-forge --version "$MIN_REQUIRED_MICROMAMBA_VERSION" && \
+        micromamba clean --all --yes --force-pkgs-dirs; \
+    else \
+        echo "Micromamba is already at version $CURRENT_MICROMAMBA_VERSION (outside $PINNED_MICROMAMBA_MINOR_VERSION). No upgrade performed."; \
+    fi
+
+RUN usermod "--login=${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 upgrade -y && \
+    apt-get install -y --no-install-recommends sudo gettext-base wget curl unzip git rsync build-essential openssh-client nano cron less mandoc jq ca-certificates gnupg && \
+    # 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 && \
+    : && \
+    echo "source /usr/local/bin/_activate_current_env.sh" | tee --append /etc/profile && \
+# CodeEditor - create server, user data dirs
+    mkdir -p /opt/amazon/sagemaker/sagemaker-code-editor-server-data /opt/amazon/sagemaker/sagemaker-code-editor-user-data \
+    && chown $MAMBA_USER:$MAMBA_USER /opt/amazon/sagemaker/sagemaker-code-editor-server-data /opt/amazon/sagemaker/sagemaker-code-editor-user-data && \
+# create dir to store user data files
+    mkdir -p /opt/amazon/sagemaker/user-data \
+    && chown $MAMBA_USER:$MAMBA_USER /opt/amazon/sagemaker/user-data && \
+# Merge in OS directory tree contents.
+    mkdir -p ${DIRECTORY_TREE_STAGE_DIR}
+COPY dirs/ ${DIRECTORY_TREE_STAGE_DIR}/
+RUN rsync -a ${DIRECTORY_TREE_STAGE_DIR}/ / && \
+    rm -rf ${DIRECTORY_TREE_STAGE_DIR} && \
+# CodeEditor - download the extensions
+    mkdir -p /etc/code-editor/extensions && \
+    while IFS= read -r url || [ -n "$url" ]; do \
+        echo "Downloading extension from ${url}..." && \
+        wget --no-check-certificate -P /etc/code-editor/extensions "${url}"; \
+    done < /etc/code-editor/extensions.txt
+
+USER $MAMBA_USER
+COPY --chown=$MAMBA_USER:$MAMBA_USER $ENV_IN_FILENAME *.in /tmp/
+COPY --chown=$MAMBA_USER:$MAMBA_USER $PINNED_ENV_IN_FILENAME *.in /tmp/
+
+ARG MAMBA_DOCKERFILE_ACTIVATE=1
+ARG CONDA_OVERRIDE_CUDA=$CUDA_MAJOR_MINOR_VERSION
+
+# Make sure that $ENV_IN_FILENAME and $PINNED_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/$ENV_IN_FILENAME ; \
+    fi && \
+    # Enforce dependencies are all installed from conda-forge
+    micromamba install -y --name base --file /tmp/$ENV_IN_FILENAME --file /tmp/$PINNED_ENV_IN_FILENAME && \
+    mkdir -p $SAGEMAKER_RECOVERY_MODE_HOME && \
+    chown $MAMBA_USER:$MAMBA_USER $SAGEMAKER_RECOVERY_MODE_HOME && \
+    SUPERVISOR_VERSION=$(grep "^conda-forge::supervisor\[" /tmp/$ENV_IN_FILENAME) && \
+    JUPYTERLAB_VERSION=$(grep "^conda-forge::jupyterlab\[" /tmp/$ENV_IN_FILENAME) && \
+    SAGEMAKER_JUPYTERLAB_VERSION=$(grep "^conda-forge::sagemaker-jupyterlab-extension" /tmp/$ENV_IN_FILENAME) && \
+    echo "Installing in sagemaker-recovery-mode micromamba environment: $JUPYTERLAB_VERSION $SAGEMAKER_JUPYTERLAB_VERSION" && \
+    micromamba create -n sagemaker-recovery-mode && \
+    micromamba install -c conda-forge --prefix /opt/conda/envs/sagemaker-recovery-mode -y $JUPYTERLAB_VERSION $SAGEMAKER_JUPYTERLAB_VERSION $SUPERVISOR_VERSION && \
+    micromamba clean --all --yes --force-pkgs-dirs && \
+    rm -rf /tmp/*.in && \
+    sudo ln -s $(which python3) /usr/bin/python && \
+    # Update npm version
+    npm i -g npm && \
+    # Enforce to use `conda-forge` as only channel, by removing `defaults`
+    conda config --remove channels defaults && \
+    micromamba config append channels conda-forge --env && \
+    # Configure CodeEditor - Install extensions and set preferences
+    extensionloc=/opt/amazon/sagemaker/sagemaker-code-editor-server-data/extensions && mkdir -p "${extensionloc}" \
+    # Loop through all vsix files in /etc/code-editor/extensions and install them
+    && for ext in /etc/code-editor/extensions/*.vsix; do \
+        echo "Installing extension ${ext}..."; \
+        sagemaker-code-editor --install-extension "${ext}" --extensions-dir "${extensionloc}" --server-data-dir /opt/amazon/sagemaker/sagemaker-code-editor-server-data --user-data-dir /opt/amazon/sagemaker/sagemaker-code-editor-user-data; \
+       done \
+    # Copy the settings
+    && cp /etc/code-editor/code_editor_machine_settings.json /opt/amazon/sagemaker/sagemaker-code-editor-server-data/data/Machine/settings.json && \
+    cp /etc/code-editor/code_editor_user_settings.json /opt/amazon/sagemaker/sagemaker-code-editor-server-data/data/User/settings.json && \
+    # Install glue kernels, and move to shared directory
+    # Also patching base kernel so Studio background code doesn't start session silently
+    install-glue-kernels && \
+    SITE_PACKAGES=$(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" && \
+    # Install FIPS Provider for OpenSSL, on top of existing OpenSSL installation
+    # v3.0.8 is latest FIPS validated provider, so this is the one we install
+    # But we need to run tests against the installed version.
+    # see https://github.com/openssl/openssl/blob/master/README-FIPS.md https://www.openssl.org/source/
+    INSTALLED_SSL=$(micromamba list | grep openssl | tr -s ' ' | cut -d ' ' -f 3 | head -n 1) && \
+    # download source code for installed, and FIPS validated openssl versions
+    curl -L https://github.com/openssl/openssl/releases/download/openssl-$FIPS_VALIDATED_SSL/openssl-$FIPS_VALIDATED_SSL.tar.gz > openssl-$FIPS_VALIDATED_SSL.tar.gz &&  \
+    curl -L https://github.com/openssl/openssl/releases/download/openssl-$INSTALLED_SSL/openssl-$INSTALLED_SSL.tar.gz > openssl-$INSTALLED_SSL.tar.gz &&  \
+    tar -xf openssl-$FIPS_VALIDATED_SSL.tar.gz && tar -xf openssl-$INSTALLED_SSL.tar.gz && cd openssl-$FIPS_VALIDATED_SSL && \
+    # Configure both versions to enable FIPS and build
+    ./Configure enable-fips --prefix=/opt/conda --openssldir=/opt/conda/ssl && make && \
+    cd ../openssl-$INSTALLED_SSL && \
+    ./Configure enable-fips --prefix=/opt/conda --openssldir=/opt/conda/ssl && make && \
+    # Copy validated provider to installed version for testing
+    cp ../openssl-$FIPS_VALIDATED_SSL/providers/fips.so providers/. && \
+    cp ../openssl-$FIPS_VALIDATED_SSL/providers/fipsmodule.cnf providers/. && \
+    make tests && cd ../openssl-$FIPS_VALIDATED_SSL && \
+    # After tests pass, install FIPS provider and remove source code
+    make install_fips && cd .. && rm -rf ./openssl-* && \
+# Create new config file with fips-enabled. Then user can override OPENSSL_CONF to enable FIPS
+# e.g. export OPENSSL_CONF=/opt/conda/ssl/openssl-fips.cnf
+    cp /opt/conda/ssl/openssl.cnf /opt/conda/ssl/openssl-fips.cnf && \
+    sed -i "s:# .include fipsmodule.cnf:.include /opt/conda/ssl/fipsmodule.cnf:" /opt/conda/ssl/openssl-fips.cnf && \
+    sed -i 's:# fips = fips_sect:fips = fips_sect:' /opt/conda/ssl/openssl-fips.cnf && \
+# Install Kerberos.
+# Make sure no dependency is added/updated
+    pip install "krb5>=0.5.1,<0.6" && \
+    pip show krb5 | grep Require | xargs -i sh -c '[ $(echo {} | cut -d: -f2 | wc -w) -eq 0 ] ' && \
+# https://stackoverflow.com/questions/122327
+    SYSTEM_PYTHON_PATH=$(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 && \
+    # Configure RTC - disable jupyter_collaboration by default
+    jupyter labextension disable @jupyter/collaboration-extension
+
+# 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
+
+# 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 sagemaker pysdk admin default config directory
+    mkdir -p /etc/xdg/sagemaker && \
+    chmod a+rw /etc/xdg/sagemaker && \
+    # Clean up CodeEditor artifacts
+    rm -rf /etc/code-editor && \
+    # Create supervisord runtime directory
+    mkdir -p /var/run/supervisord && \
+    chmod a+rw /var/run/supervisord && \
+    # Create root directory for DB
+    # Create logging directories for supervisor
+    mkdir -p $DB_ROOT_DIR && \
+    chmod a+rw $DB_ROOT_DIR && \
+    HOME_DIR="/home/${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 ${HOME_DIR}/oss_compliance*
+
+# Explicitly disable BuildKit for SM Studio Docker functionality
+ENV DOCKER_BUILDKIT=0
+ENV PATH="/opt/conda/bin:/opt/conda/condabin:$PATH"
+WORKDIR "/home/${NB_USER}"
+ENV SHELL=/bin/bash
+ENV OPENSSL_MODULES=/opt/conda/lib64/ossl-modules/
+USER $MAMBA_USER

build_artifacts/v2/v2.8/v2.8.5/RELEASE.md

@@ -0,0 +1,69 @@
+# Release notes: 2.8.5
+
+Package | gpu| cpu
+---|---|---
+python|3.11.11|3.11.11
+numpy|1.26.4|1.26.4
+jinja2|3.1.6|3.1.6
+pytorch|2.6.0|2.6.0
+pandas|2.2.3|2.2.3
+altair|5.5.0|5.5.0
+boto3|1.38.46|1.38.46
+ipython|8.37.0|8.37.0
+jupyter-lsp|2.2.6|2.2.6
+jupyterlab|4.4.10|4.4.10
+amazon-q-developer-jupyterlab-ext|3.4.8|3.4.8
+langchain|0.3.27|0.3.27
+jupyter-ai|2.31.6|2.31.6
+amazon-sagemaker-jupyter-ai-q-developer|1.2.8|1.2.8
+jupyter-scheduler|2.11.0|2.11.0
+amazon-sagemaker-jupyter-scheduler|3.1.15|3.1.15
+amazon-sagemaker-sql-magic|0.1.4|0.1.4
+jupyterlab-lsp|5.0.3|5.0.3
+amazon_sagemaker_sql_editor|0.1.19|0.1.19
+amzn-sagemaker-aiops-jupyterlab-extension|1.0.4|1.0.4
+scipy|1.15.2|1.15.2
+matplotlib-base|3.10.7|3.10.7
+scikit-learn|1.6.1|1.6.1
+pip|24.3.1|24.3.1
+torchvision|0.21.0|0.21.0
+autogluon|1.3.1|1.3.1
+ipywidgets|8.1.7|8.1.7
+notebook|7.4.7|7.4.7
+aws-glue-sessions|1.0.9|1.0.9
+aws-s3-access-grants-boto3-plugin|1.2.0|1.2.0
+conda|24.11.3|24.11.3
+docker-cli|27.5.1|27.5.1
+uvicorn|0.35.0|0.35.0
+fastapi|0.115.14|0.115.14
+git-remote-codecommit|1.16|1.16
+jupyter-activity-monitor-extension|0.3.2|0.3.2
+jupyter-collaboration|2.1.5|2.1.5
+jupyter-dash|0.4.2|0.4.2
+jupyter-server-proxy|4.4.0|4.4.0
+jupyterlab-git|0.51.2|0.51.2
+keras|3.10.0|3.10.0
+langchain-aws|0.2.27|0.2.27
+mlflow|2.22.0|2.22.0
+py-xgboost-gpu|2.1.4| 
+pyhive|0.7.0|0.7.0
+python-gssapi|1.9.0|1.9.0
+python-lsp-server|1.12.2|1.13.1
+s3fs|2024.12.0|2024.12.0
+sagemaker-code-editor|1.6.2|1.6.2
+sagemaker-headless-execution-driver|0.0.13|0.0.13
+sagemaker-jupyterlab-emr-extension|0.4.3|0.4.3
+sagemaker-jupyterlab-extension|0.5.1|0.5.1
+sagemaker-kernel-wrapper|0.0.6|0.0.6
+sagemaker-mlflow|0.1.0|0.1.0
+sagemaker-python-sdk|2.245.0|2.245.0
+sagemaker-studio|1.0.22|1.0.22
+sagemaker-studio-analytics-extension|0.2.2|0.2.2
+sagemaker-studio-cli|1.0.7|1.0.7
+sagemaker-studio-dataengineering-extensions|1.1.5|1.1.5
+sagemaker-studio-dataengineering-sessions|1.1.8|1.1.8
+seaborn|0.13.2|0.13.2
+supervisor|4.2.5|4.2.5
+tensorflow|2.18.0|2.18.0
+tf-keras|2.18.0|2.18.0
+py-xgboost-cpu| |2.1.4

build_artifacts/v2/v2.8/v2.8.5/aws-cli-public-key.asc

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