chore: add post-build artifact files for 1.5.0 release (#175)

build_artifacts/v1/v1.5/v1.5.0/CHANGELOG-cpu.md

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+# Change log: 1.5.0(cpu)
+
+## Upgrades: 
+
+Package | Previous Version | Current Version
+---|---|---
+numpy|1.26.3|1.26.4
+ipython|8.20.0|8.21.0
+jupyterlab|4.0.12|4.1.0
+jupyter-scheduler|2.4.0|2.5.0
+scikit-learn|1.3.2|1.4.0
+langchain|0.0.350|0.1.5
+jupyter-ai|2.8.1|2.9.1
+jupyterlab-lsp|5.0.2|5.0.3
+python-lsp-server|1.9.0|1.10.0
+uvicorn|0.25.0|0.27.0.post1

build_artifacts/v1/v1.5/v1.5.0/CHANGELOG-gpu.md

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+# Change log: 1.5.0(gpu)
+
+## Upgrades: 
+
+Package | Previous Version | Current Version
+---|---|---
+numpy|1.26.3|1.26.4
+ipython|8.20.0|8.21.0
+jupyterlab|4.0.12|4.1.0
+jupyter-scheduler|2.4.0|2.5.0
+scikit-learn|1.3.2|1.4.0
+langchain|0.0.350|0.1.5
+jupyter-ai|2.8.1|2.9.1
+jupyterlab-lsp|5.0.2|5.0.3
+python-lsp-server|1.9.0|1.10.0
+uvicorn|0.25.0|0.27.0.post1

build_artifacts/v1/v1.5/v1.5.0/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 nano && \
+    # 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/v1.5/v1.5.0/RELEASE.md

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+# Release notes: 1.5.0
+
+Package | gpu| cpu
+---|---|---
+python|3.10.13|3.10.13
+numpy|1.26.4|1.26.4
+jinja2|3.1.3|3.1.3
+pandas|2.1.4|2.1.4
+altair|5.2.0|5.2.0
+boto3|1.28.64|1.28.64
+ipython|8.21.0|8.21.0
+jupyter-lsp|2.2.2|2.2.2
+jupyterlab|4.1.0|4.1.0
+amazon-codewhisperer-jupyterlab-ext|2.0.1|2.0.1
+jupyter-scheduler|2.5.0|2.5.0
+amazon-sagemaker-jupyter-scheduler|3.0.6|3.0.6
+scipy|1.11.4|1.11.4
+scikit-learn|1.4.0|1.4.0
+pip|23.3.2|23.3.2
+torchvision|0.15.2|0.15.2
+autogluon|0.8.2|0.8.2
+ipywidgets|8.1.1|8.1.1
+notebook|7.0.7|7.0.7
+aws-glue-sessions|1.0.4|1.0.4
+conda|23.11.0|23.11.0
+fastapi|0.103.2|0.103.2
+langchain|0.1.5|0.1.5
+jupyter-ai|2.9.1|2.9.1
+jupyter-dash|0.4.2|0.4.2
+jupyter-server-proxy|4.1.0|4.1.0
+jupyterlab-git|0.50.0|0.50.0
+jupyterlab-lsp|5.0.3|5.0.3
+keras|2.12.0|2.12.0
+matplotlib|3.8.2|3.8.2
+nodejs|18.18.2|18.18.2
+py-xgboost-gpu|1.7.6| 
+thrift_sasl|0.4.3|0.4.3
+pyhive|0.7.0|0.7.0
+python-gssapi|1.8.3|1.8.3
+python-lsp-server|1.10.0|1.10.0
+pytorch-gpu|2.0.0| 
+sagemaker-headless-execution-driver|0.0.12|0.0.12
+sagemaker-jupyterlab-emr-extension|0.1.9|0.1.9
+sagemaker-jupyterlab-extension|0.2.0|0.2.0
+sagemaker-kernel-wrapper|0.0.2|0.0.2
+sagemaker-python-sdk|2.198.1|2.198.1
+sagemaker-studio-analytics-extension|0.0.21|0.0.21
+sasl|0.3.1|0.3.1
+supervisor|4.2.5|4.2.5
+tensorflow|2.12.1|2.12.1
+uvicorn|0.27.0.post1|0.27.0.post1
+pytorch| |2.0.0
+py-xgboost-cpu| |1.7.6

build_artifacts/v1/v1.5/v1.5.0/cpu.env.in

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+# This file is auto-generated.
+conda-forge::langchain[version='>=0.0.350,<1.0.0']
+conda-forge::fastapi[version='>=0.103.2,<1.0.0']
+conda-forge::uvicorn[version='>=0.25.0,<1.0.0']
+conda-forge::pytorch[version='>=2.0.0,<3.0.0']
+conda-forge::tensorflow[version='>=2.12.1,<3.0.0']
+conda-forge::python[version='>=3.10.13,<3.11.0']
+conda-forge::pip[version='>=23.3.2,<24.0.0']
+conda-forge::torchvision[version='>=0.15.2,<1.0.0']
+conda-forge::numpy[version='>=1.26.3,<2.0.0']
+conda-forge::pandas[version='>=2.1.4,<3.0.0']
+conda-forge::scikit-learn[version='>=1.3.2,<2.0.0']
+conda-forge::jinja2[version='>=3.1.3,<4.0.0']
+conda-forge::matplotlib[version='>=3.8.2,<4.0.0']
+conda-forge::sagemaker-headless-execution-driver[version='>=0.0.12,<1.0.0']
+conda-forge::ipython[version='>=8.20.0,<9.0.0']
+conda-forge::scipy[version='>=1.11.4,<2.0.0']
+conda-forge::keras[version='>=2.12.0,<3.0.0']
+conda-forge::py-xgboost-cpu[version='>=1.7.6,<2.0.0']
+conda-forge::jupyterlab[version='>=4.0.12,<5.0.0']
+conda-forge::ipywidgets[version='>=8.1.1,<9.0.0']
+conda-forge::conda[version='>=23.11.0,<24.0.0']
+conda-forge::boto3[version='>=1.28.64,<2.0.0']
+conda-forge::sagemaker-python-sdk[version='>=2.198.1,<3.0.0']
+conda-forge::supervisor[version='>=4.2.5,<5.0.0']
+conda-forge::autogluon[version='>=0.8.2,<1.0.0']
+conda-forge::aws-glue-sessions[version='>=1.0.4,<2.0.0']
+conda-forge::sagemaker-kernel-wrapper[version='>=0.0.2,<1.0.0']
+conda-forge::jupyter-ai[version='>=2.8.1,<3.0.0']
+conda-forge::jupyter-scheduler[version='>=2.4.0,<3.0.0']
+conda-forge::nodejs[version='>=18.18.2,<19.0.0']
+conda-forge::jupyter-lsp[version='>=2.2.2,<3.0.0']
+conda-forge::jupyterlab-lsp[version='>=5.0.2,<6.0.0']
+conda-forge::python-lsp-server[version='>=1.9.0,<2.0.0']
+conda-forge::notebook[version='>=7.0.7,<8.0.0']
+conda-forge::altair[version='>=5.2.0,<6.0.0']
+conda-forge::sagemaker-studio-analytics-extension[version='>=0.0.21,<1.0.0']
+conda-forge::jupyter-dash[version='>=0.4.2,<1.0.0']
+conda-forge::sagemaker-jupyterlab-extension[version='>=0.2.0,<1.0.0']
+conda-forge::sagemaker-jupyterlab-emr-extension[version='>=0.1.9,<1.0.0']
+conda-forge::amazon-sagemaker-jupyter-scheduler[version='>=3.0.6,<4.0.0']
+conda-forge::jupyter-server-proxy[version='>=4.1.0,<5.0.0']
+conda-forge::amazon-codewhisperer-jupyterlab-ext[version='>=2.0.1,<3.0.0']
+conda-forge::jupyterlab-git[version='>=0.50.0,<1.0.0']
+conda-forge::sasl[version='>=0.3.1,<1.0.0']
+conda-forge::thrift_sasl[version='>=0.4.3,<1.0.0']
+conda-forge::pyhive[version='>=0.7.0,<1.0.0']
+conda-forge::python-gssapi[version='>=1.8.3,<2.0.0']