diff --git a/.github/workflows/build-notebooks.yaml b/.github/workflows/build-notebooks.yaml
index c18a45fdc..37ad75589 100644
--- a/.github/workflows/build-notebooks.yaml
+++ b/.github/workflows/build-notebooks.yaml
@@ -15,136 +15,6 @@
]
},
"jobs": {
- "base-ubi8-python-3_8": {
- "needs": [],
- "uses": "./.github/workflows/build-notebooks-TEMPLATE.yaml",
- "with": {
- "target": "base-ubi8-python-3.8",
- "github": "${{ toJSON(github) }}"
- },
- "secrets": "inherit"
- },
- "jupyter-minimal-ubi8-python-3_8": {
- "needs": [
- "base-ubi8-python-3_8"
- ],
- "uses": "./.github/workflows/build-notebooks-TEMPLATE.yaml",
- "with": {
- "target": "jupyter-minimal-ubi8-python-3.8",
- "github": "${{ toJSON(github) }}"
- },
- "secrets": "inherit"
- },
- "jupyter-datascience-ubi8-python-3_8": {
- "needs": [
- "jupyter-minimal-ubi8-python-3_8"
- ],
- "uses": "./.github/workflows/build-notebooks-TEMPLATE.yaml",
- "with": {
- "target": "jupyter-datascience-ubi8-python-3.8",
- "github": "${{ toJSON(github) }}"
- },
- "secrets": "inherit"
- },
- "cuda-ubi8-python-3_8": {
- "needs": [
- "base-ubi8-python-3_8"
- ],
- "uses": "./.github/workflows/build-notebooks-TEMPLATE.yaml",
- "with": {
- "target": "cuda-ubi8-python-3.8",
- "github": "${{ toJSON(github) }}"
- },
- "secrets": "inherit"
- },
- "cuda-jupyter-minimal-ubi8-python-3_8": {
- "needs": [
- "cuda-ubi8-python-3_8"
- ],
- "uses": "./.github/workflows/build-notebooks-TEMPLATE.yaml",
- "with": {
- "target": "cuda-jupyter-minimal-ubi8-python-3.8",
- "github": "${{ toJSON(github) }}"
- },
- "secrets": "inherit"
- },
- "cuda-jupyter-datascience-ubi8-python-3_8": {
- "needs": [
- "cuda-jupyter-minimal-ubi8-python-3_8"
- ],
- "uses": "./.github/workflows/build-notebooks-TEMPLATE.yaml",
- "with": {
- "target": "cuda-jupyter-datascience-ubi8-python-3.8",
- "github": "${{ toJSON(github) }}"
- },
- "secrets": "inherit"
- },
- "habana-jupyter-1_10_0-ubi8-python-3_8": {
- "needs": [
- "jupyter-datascience-ubi8-python-3_8"
- ],
- "uses": "./.github/workflows/build-notebooks-TEMPLATE.yaml",
- "with": {
- "target": "habana-jupyter-1.10.0-ubi8-python-3.8",
- "github": "${{ toJSON(github) }}"
- },
- "secrets": "inherit"
- },
- "habana-jupyter-1_13_0-ubi8-python-3_8": {
- "needs": [
- "jupyter-datascience-ubi8-python-3_8"
- ],
- "uses": "./.github/workflows/build-notebooks-TEMPLATE.yaml",
- "with": {
- "target": "habana-jupyter-1.13.0-ubi8-python-3.8",
- "github": "${{ toJSON(github) }}"
- },
- "secrets": "inherit"
- },
- "runtime-minimal-ubi8-python-3_8": {
- "needs": [
- "base-ubi8-python-3_8"
- ],
- "uses": "./.github/workflows/build-notebooks-TEMPLATE.yaml",
- "with": {
- "target": "runtime-minimal-ubi8-python-3.8",
- "github": "${{ toJSON(github) }}"
- },
- "secrets": "inherit"
- },
- "runtime-datascience-ubi8-python-3_8": {
- "needs": [
- "base-ubi8-python-3_8"
- ],
- "uses": "./.github/workflows/build-notebooks-TEMPLATE.yaml",
- "with": {
- "target": "runtime-datascience-ubi8-python-3.8",
- "github": "${{ toJSON(github) }}"
- },
- "secrets": "inherit"
- },
- "runtime-pytorch-ubi8-python-3_8": {
- "needs": [
- "base-ubi8-python-3_8"
- ],
- "uses": "./.github/workflows/build-notebooks-TEMPLATE.yaml",
- "with": {
- "target": "runtime-pytorch-ubi8-python-3.8",
- "github": "${{ toJSON(github) }}"
- },
- "secrets": "inherit"
- },
- "runtime-cuda-tensorflow-ubi8-python-3_8": {
- "needs": [
- "cuda-ubi8-python-3_8"
- ],
- "uses": "./.github/workflows/build-notebooks-TEMPLATE.yaml",
- "with": {
- "target": "runtime-cuda-tensorflow-ubi8-python-3.8",
- "github": "${{ toJSON(github) }}"
- },
- "secrets": "inherit"
- },
"base-ubi9-python-3_9": {
"needs": [],
"uses": "./.github/workflows/build-notebooks-TEMPLATE.yaml",
@@ -840,26 +710,6 @@
"github": "${{ toJSON(github) }}"
},
"secrets": "inherit"
- },
- "base-anaconda-python-3_8": {
- "needs": [],
- "uses": "./.github/workflows/build-notebooks-TEMPLATE.yaml",
- "with": {
- "target": "base-anaconda-python-3.8",
- "github": "${{ toJSON(github) }}"
- },
- "secrets": "inherit"
- },
- "jupyter-datascience-anaconda-python-3_8": {
- "needs": [
- "base-anaconda-python-3_8"
- ],
- "uses": "./.github/workflows/build-notebooks-TEMPLATE.yaml",
- "with": {
- "target": "jupyter-datascience-anaconda-python-3.8",
- "github": "${{ toJSON(github) }}"
- },
- "secrets": "inherit"
}
}
}
diff --git a/Makefile b/Makefile
index 8a5501c10..0e71c6963 100644
--- a/Makefile
+++ b/Makefile
@@ -77,69 +77,6 @@ define image
)
endef
-####################################### Buildchain for Python 3.8 using ubi8 #######################################
-
-# Build and push base-ubi8-python-3.8 image to the registry
-.PHONY: base-ubi8-python-3.8
-base-ubi8-python-3.8:
- $(call image,$@,base/ubi8-python-3.8)
-
-# Build and push jupyter-minimal-ubi8-python-3.8 image to the registry
-.PHONY: jupyter-minimal-ubi8-python-3.8
-jupyter-minimal-ubi8-python-3.8: base-ubi8-python-3.8
- $(call image,$@,jupyter/minimal/ubi8-python-3.8,$<)
-
-# Build and push jupyter-datascience-ubi8-python-3.8 image to the registry
-.PHONY: jupyter-datascience-ubi8-python-3.8
-jupyter-datascience-ubi8-python-3.8: jupyter-minimal-ubi8-python-3.8
- $(call image,$@,jupyter/datascience/ubi8-python-3.8,$<)
-
-# Build and push cuda-ubi8-python-3.8 image to the registry
-.PHONY: cuda-ubi8-python-3.8
-cuda-ubi8-python-3.8: base-ubi8-python-3.8
- $(eval $(call generate_image_tag,IMAGE_TAG))
- $(call image,$@,cuda/ubi8-python-3.8,$<)
-
-# Build and push cuda-jupyter-minimal-ubi8-python-3.8 image to the registry
-.PHONY: cuda-jupyter-minimal-ubi8-python-3.8
-cuda-jupyter-minimal-ubi8-python-3.8: cuda-ubi8-python-3.8
- $(call image,$@,jupyter/minimal/ubi8-python-3.8,$<)
-
-# Build and push cuda-jupyter-datascience-ubi8-python-3.8 image to the registry
-.PHONY: cuda-jupyter-datascience-ubi8-python-3.8
-cuda-jupyter-datascience-ubi8-python-3.8: cuda-jupyter-minimal-ubi8-python-3.8
- $(call image,$@,jupyter/datascience/ubi8-python-3.8,$<)
-
-# Build and push habana-jupyter-1.10.0-ubi8-python-3.8 image to the registry
-.PHONY: habana-jupyter-1.10.0-ubi8-python-3.8
-habana-jupyter-1.10.0-ubi8-python-3.8: jupyter-datascience-ubi8-python-3.8
- $(call image,$@,habana/1.10.0/ubi8-python-3.8,$<)
-
-# Build and push habana-jupyter-1.13.0-ubi8-python-3.8 image to the registry
-.PHONY: habana-jupyter-1.13.0-ubi8-python-3.8
-habana-jupyter-1.13.0-ubi8-python-3.8: jupyter-datascience-ubi8-python-3.8
- $(call image,$@,habana/1.13.0/ubi8-python-3.8,$<)
-
-# Build and push runtime-minimal-ubi8-python-3.8 image to the registry
-.PHONY: runtime-minimal-ubi8-python-3.8
-runtime-minimal-ubi8-python-3.8: base-ubi8-python-3.8
- $(call image,$@,runtimes/minimal/ubi8-python-3.8,$<)
-
-# Build and push runtime-datascience-ubi8-python-3.8 image to the registry
-.PHONY: runtime-datascience-ubi8-python-3.8
-runtime-datascience-ubi8-python-3.8: base-ubi8-python-3.8
- $(call image,$@,runtimes/datascience/ubi8-python-3.8,$<)
-
-# Build and push runtime-pytorch-ubi8-python-3.8 image to the registry
-.PHONY: runtime-pytorch-ubi8-python-3.8
-runtime-pytorch-ubi8-python-3.8: base-ubi8-python-3.8
- $(call image,$@,runtimes/pytorch/ubi8-python-3.8,$<)
-
-# Build and push runtime-cuda-tensorflow-ubi8-python-3.8 image to the registry
-.PHONY: runtime-cuda-tensorflow-ubi8-python-3.8
-runtime-cuda-tensorflow-ubi8-python-3.8: cuda-ubi8-python-3.8
- $(call image,$@,runtimes/tensorflow/ubi8-python-3.8,$<)
-
####################################### Buildchain for Python 3.9 using ubi9 #######################################
# Build and push base-ubi9-python-3.9 image to the registry
@@ -460,19 +397,6 @@ rocm-runtime-pytorch-ubi9-python-3.11: rocm-ubi9-python-3.11
rocm-runtime-tensorflow-ubi9-python-3.11: rocm-ubi9-python-3.11
$(call image,$@,runtimes/rocm-tensorflow/ubi9-python-3.11,$<)
-####################################### Buildchain for Anaconda Python #######################################
-
-# Build and push base-anaconda-python-3.8 image to the registry
-.PHONY: base-anaconda-python-3.8
-base-anaconda-python-3.8:
- $(call image,$@,base/anaconda-python-3.8)
-
-# Build and push jupyter-datascience-anaconda-python-3.8 image to the registry
-.PHONY: jupyter-datascience-anaconda-python-3.8
-jupyter-datascience-anaconda-python-3.8: base-anaconda-python-3.8
- $(call image,$@,jupyter/datascience/anaconda-python-3.8,$<)
-
-
####################################### Deployments #######################################
# Download kubectl binary
@@ -485,30 +409,6 @@ ifeq (,$(wildcard $(KUBECTL_BIN)))
@chmod +x $(KUBECTL_BIN)
endif
-# Deploy a notebook image using kustomize
-.PHONY: deploy8
-deploy8-%-ubi8-python-3.8: bin/kubectl
- $(eval NOTEBOOK_DIR := $(subst -,/,$(subst cuda-,,$*))/ubi8-python-3.8/kustomize/base)
-ifndef NOTEBOOK_TAG
- $(eval NOTEBOOK_TAG := $*-ubi8-python-3.8-$(IMAGE_TAG))
-endif
- $(info # Deploying notebook from $(NOTEBOOK_DIR) directory...)
- @sed -i 's,newName: .*,newName: $(IMAGE_REGISTRY),g' $(NOTEBOOK_DIR)/kustomization.yaml
- @sed -i 's,newTag: .*,newTag: $(NOTEBOOK_TAG),g' $(NOTEBOOK_DIR)/kustomization.yaml
- $(KUBECTL_BIN) apply -k $(NOTEBOOK_DIR)
-
-# Deploy a notebook image using kustomize
-.PHONY: deploy-anaconda8
-deploy8-%-anaconda-python-3.8: bin/kubectl
- $(eval NOTEBOOK_DIR := $(subst -,/,$(subst cuda-,,$*))/anaconda-python-3.8/kustomize/base)
-ifndef NOTEBOOK_TAG
- $(eval NOTEBOOK_TAG := $*-anaconda-python-3.8-$(IMAGE_TAG))
-endif
- $(info # Deploying notebook from $(NOTEBOOK_DIR) directory...)
- @sed -i 's,newName: .*,newName: $(IMAGE_REGISTRY),g' $(NOTEBOOK_DIR)/kustomization.yaml
- @sed -i 's,newTag: .*,newTag: $(NOTEBOOK_TAG),g' $(NOTEBOOK_DIR)/kustomization.yaml
- $(KUBECTL_BIN) apply -k $(NOTEBOOK_DIR)
-
.PHONY: deploy9
deploy9-%: bin/kubectl
$(eval TARGET := $(shell echo $* | sed 's/-ubi9-python.*//'))
@@ -522,19 +422,6 @@ endif
@sed -i 's,newTag: .*,newTag: $(NOTEBOOK_TAG),g' $(NOTEBOOK_DIR)/kustomization.yaml
$(KUBECTL_BIN) apply -k $(NOTEBOOK_DIR)
-# Undeploy a notebook image using kustomize
-.PHONY: undeploy8
-undeploy8-%-ubi8-python-3.8: bin/kubectl
- $(eval NOTEBOOK_DIR := $(subst -,/,$(subst cuda-,,$*))/ubi8-python-3.8/kustomize/base)
- $(info # Undeploying notebook from $(NOTEBOOK_DIR) directory...)
- $(KUBECTL_BIN) delete -k $(NOTEBOOK_DIR)
-
-.PHONY: undeploy-anaconda8
-undeploy8-%-anaconda-python-3.8: bin/kubectl
- $(eval NOTEBOOK_DIR := $(subst -,/,$(subst cuda-,,$*))/anaconda-python-3.8/kustomize/base)
- $(info # Undeploying notebook from $(NOTEBOOK_DIR) directory...)
- $(KUBECTL_BIN) delete -k $(NOTEBOOK_DIR)
-
.PHONY: undeploy9
undeploy9-%: bin/kubectl
$(eval TARGET := $(shell echo $* | sed 's/-ubi9-python.*//'))
@@ -614,8 +501,6 @@ test-%: bin/kubectl
$(call test_with_papermill,intel/ml,ubi9,python-$(PYTHON_VERSION)) \
elif echo "$(FULL_NOTEBOOK_NAME)" | grep -q "trustyai-ubi9"; then \
$(call test_with_papermill,trustyai,ubi9,python-$(PYTHON_VERSION)) \
- elif echo "$(FULL_NOTEBOOK_NAME)" | grep -q "minimal-ubi8"; then \
- $(call test_with_papermill,minimal,ubi8,python-3.8) \
elif echo "$(FULL_NOTEBOOK_NAME)" | grep -q "datascience-ubi8"; then \
$(MAKE) validate-ubi8-datascience -e FULL_NOTEBOOK_NAME=$(FULL_NOTEBOOK_NAME); \
elif echo "$(FULL_NOTEBOOK_NAME)" | grep -q "anaconda"; then \
@@ -629,11 +514,6 @@ validate-ubi9-datascience:
$(call test_with_papermill,minimal,ubi9,python-$(PYTHON_VERSION))
$(call test_with_papermill,datascience,ubi9,python-$(PYTHON_VERSION))
-.PHONY: validate-ubi8-datascience
-validate-ubi8-datascience:
- $(call test_with_papermill,minimal,ubi8,python-3.8)
- $(call test_with_papermill,datascience,ubi8,python-3.8)
-
# Validate that runtime image meets minimum criteria
# This validation is created from subset of https://github.com/elyra-ai/elyra/blob/9c417d2adc9d9f972de5f98fd37f6945e0357ab9/Makefile#L325
.PHONY: validate-runtime-image
@@ -738,25 +618,16 @@ validate-rstudio-image: bin/kubectl
# This is only for the workflow action
.PHONY: refresh-pipfilelock-files
refresh-pipfilelock-files:
- cd base/ubi8-python-3.8 && pipenv lock
cd base/ubi9-python-3.9 && pipenv lock
cd base/c9s-python-3.9 && pipenv lock
- cd jupyter/minimal/ubi8-python-3.8 && pipenv lock
cd jupyter/minimal/ubi9-python-3.9 && pipenv lock
- cd jupyter/datascience/ubi8-python-3.8 && pipenv lock
cd jupyter/datascience/ubi9-python-3.9 && pipenv lock
cd jupyter/pytorch/ubi9-python-3.9 && pipenv lock
cd jupyter/tensorflow/ubi9-python-3.9 && pipenv lock
cd jupyter/trustyai/ubi9-python-3.9 && pipenv lock
- cd habana/1.10.0/ubi8-python-3.8 && pipenv lock
- cd habana/1.13.0/ubi8-python-3.8 && pipenv lock
- cd runtimes/minimal/ubi8-python-3.8 && pipenv lock
cd runtimes/minimal/ubi9-python-3.9 && pipenv lock
- cd runtimes/datascience/ubi8-python-3.8 && pipenv lock
cd runtimes/datascience/ubi9-python-3.9 && pipenv lock
cd runtimes/pytorch/ubi9-python-3.9 && pipenv lock
- cd runtimes/pytorch/ubi8-python-3.8 && pipenv lock
- cd runtimes/tensorflow/ubi8-python-3.8 && pipenv lock
cd runtimes/tensorflow/ubi9-python-3.9 && pipenv lock
cd runtimes/rocm-tensorflow/ubi9-python-3.9 && pipenv lock
cd runtimes/rocm-pytorch/ubi9-python-3.9 && pipenv lock
diff --git a/base/anaconda-python-3.8/Dockerfile b/base/anaconda-python-3.8/Dockerfile
deleted file mode 100644
index ae8fffa39..000000000
--- a/base/anaconda-python-3.8/Dockerfile
+++ /dev/null
@@ -1,104 +0,0 @@
-# This image provides an Anaconda-based Python 3.8 environment you can use to run your
-# Python applications.
-FROM registry.access.redhat.com/ubi8/s2i-base AS s2i-python-anaconda-38-base
-
-EXPOSE 8080
-
-# TODO(Spryor): ensure these are right, add Anaconda versions
-ENV PYTHON_VERSION=3.8 \
- PATH=$HOME/.local/bin/:$PATH \
- PYTHONUNBUFFERED=1 \
- PYTHONIOENCODING=UTF-8 \
- LC_ALL=en_US.UTF-8 \
- LANG=en_US.UTF-8 \
- PIP_NO_CACHE_DIR=off
-
-ENV SUMMARY="Platform for building and running Anaconda Python $PYTHON_VERSION applications" \
- DESCRIPTION="Anaconda Python $PYTHON_VERSION available as container is a base \
- platform for building and running various Anaconda Python $PYTHON_VERSION \
- applications and frameworks. Python is an easy to learn, powerful programming \
- language. It has efficient high-level data structures and a simple but effective \
- approach to object-oriented programming. Python's elegant syntax and dynamic \
- typing, together with its interpreted nature, make it an ideal language for \
- scripting and rapid application development in many areas on most platforms."
-
-LABEL summary="$SUMMARY" \
- description="$DESCRIPTION" \
- io.k8s.description="$DESCRIPTION" \
- io.k8s.display-name="Anaconda Python 3.8" \
- io.openshift.expose-services="8080:http" \
- io.openshift.tags="anaconda,builder,python,python38,python-38,anaconda-python38" \
- name="anaconda-python38" \
- version="1" \
- usage="s2i build https://github.com/sclorg/s2i-python-container.git --context-dir=3.8/test/setup-test-app/ ubi8/python-38 python-sample-app" \
- maintainer="spryor@redhat.com for now..."
-
-
-ARG ANACONDA_INSTALLER_NAME=Miniconda3-latest-Linux-x86_64.sh
-
-RUN INSTALL_PKGS="nss_wrapper \
- httpd httpd-devel mod_ssl mod_auth_gssapi mod_ldap \
- mod_session atlas-devel gcc-gfortran libffi-devel libtool-ltdl enchant" && \
- curl -O https://repo.anaconda.com/miniconda/${ANACONDA_INSTALLER_NAME} && \
- chmod +x ${ANACONDA_INSTALLER_NAME} && \
- ./${ANACONDA_INSTALLER_NAME} -b -p /opt/anaconda3 && \
- rm ./${ANACONDA_INSTALLER_NAME} && \
- /opt/anaconda3/bin/conda init && \
- yum -y module disable python38:3.8 && \
- yum -y module enable httpd:2.4 && \
- yum -y --setopt=tsflags=nodocs update && \
- yum -y --setopt=tsflags=nodocs install $INSTALL_PKGS && \
- rpm -V $INSTALL_PKGS && \
- # Remove redhat-logos-httpd (httpd dependency) to keep image size smaller.
- rpm -e --nodeps redhat-logos-httpd && \
- yum -y clean all --enablerepo='*'
-
-# Copy the S2I scripts to $STI_SCRIPTS_PATH.
-COPY ./s2i/bin/ $STI_SCRIPTS_PATH
-
-COPY environment.yml ./
-# - Create a Python virtual environment for use by any application to avoid
-# potential conflicts with Python packages preinstalled in the main Python
-# installation.
-# - In order to drop the root user, we have to make some directories world
-# writable as OpenShift default security model is to run the container
-# under random UID.
-RUN /opt/anaconda3/bin/conda env create --file environment.yml -p "${APP_ROOT}" && \
- rm environment.yml && \
- chown -R 1001:0 ${APP_ROOT} && \
- fix-permissions ${APP_ROOT} -P && \
- fix-permissions /opt/anaconda3 -P && \
- rpm-file-permissions
-
-# For RHEL/Centos 8+ scl_enable isn't sourced automatically in s2i-core
-# so virtualenv needs to be activated this way
-ENV BASH_ENV="source /opt/anaconda3/bin/activate ${APP_ROOT}" \
- ENV="source /opt/anaconda3/bin/activate ${APP_ROOT}" \
- PROMPT_COMMAND=". /opt/anaconda3/bin/activate ${APP_ROOT}"
-
-USER 1001
-
-# Set the default CMD to print the usage of the language image.
-CMD ["$STI_SCRIPTS_PATH/usage"]
-
-
-FROM s2i-python-anaconda-38-base
-
-LABEL name="odh-notebook-base-ubi8-anaconda-python-3.8" \
- summary="Anaconda based Python 3.8 base image for ODH notebooks" \
- description="Anaconda Base Python 3.8 builder image based on UBI8 for ODH notebooks" \
- io.k8s.display-name="Anaconda Python 3.8 base image for ODH notebooks" \
- io.k8s.description="Anaconda Base Python 3.8 builder image based on UBI8 for ODH notebooks"
-
-WORKDIR /opt/app-root/bin
-
-# Install the oc client
-RUN curl -L https://mirror.openshift.com/pub/openshift-v4/$(uname -m)/clients/ocp/stable/openshift-client-linux.tar.gz \
- -o /tmp/openshift-client-linux.tar.gz && \
- tar -xzvf /tmp/openshift-client-linux.tar.gz oc && \
- rm -f /tmp/openshift-client-linux.tar.gz
-
-# Fix permissions to support pip in Openshift environments
-RUN fix-permissions /opt/app-root -P
-
-WORKDIR /opt/app-root/src
diff --git a/base/anaconda-python-3.8/environment.yml b/base/anaconda-python-3.8/environment.yml
deleted file mode 100644
index 71c0bed08..000000000
--- a/base/anaconda-python-3.8/environment.yml
+++ /dev/null
@@ -1,28 +0,0 @@
----
-name: /opt/app-root
-channels:
- - defaults
-dependencies:
- - _libgcc_mutex=0.1=main
- - _openmp_mutex=5.1=1_gnu
- - ca-certificates=2024.3.11=h06a4308_0
- - icu=73.1=h6a678d5_0
- - ld_impl_linux-64=2.38=h1181459_1
- - libffi=3.4.4=h6a678d5_0
- - libgcc-ng=11.2.0=h1234567_1
- - libgomp=11.2.0=h1234567_1
- - libstdcxx-ng=11.2.0=h1234567_1
- - libuv=1.44.2=h5eee18b_0
- - ncurses=6.4=h6a678d5_0
- - nodejs=18.18.2=h2d74bed_0
- - openssl=3.0.13=h7f8727e_0
- - pip=23.3.1=py38h06a4308_0
- - python=3.8.18=h955ad1f_0
- - readline=8.2=h5eee18b_0
- - setuptools=68.2.2=py38h06a4308_0
- - sqlite=3.41.2=h5eee18b_0
- - tk=8.6.12=h1ccaba5_0
- - wheel=0.41.2=py38h06a4308_0
- - xz=5.4.6=h5eee18b_0
- - zlib=1.2.13=h5eee18b_0
-prefix: /opt/app-root
diff --git a/base/anaconda-python-3.8/s2i/bin/assemble b/base/anaconda-python-3.8/s2i/bin/assemble
deleted file mode 100755
index 395fba5b8..000000000
--- a/base/anaconda-python-3.8/s2i/bin/assemble
+++ /dev/null
@@ -1,62 +0,0 @@
-#!/bin/bash
-
-source /opt/anaconda3/bin/activate ${APP_ROOT}
-
-set -e
-
-function is_django_installed() {
- python -c "import django" &>/dev/null
-}
-
-function should_collectstatic() {
- is_django_installed && [[ -z "$DISABLE_COLLECTSTATIC" ]]
-}
-
-shopt -s dotglob
-echo "---> Installing application source ..."
-mv /tmp/src/* "$HOME"
-
-# set permissions for any installed artifacts
-fix-permissions /opt/app-root -P
-
-if [[ -f requirements.txt ]]; then
- echo "---> Installing dependencies ..."
- conda install -c conda-forge --file requirements.txt || true
-fi
-
-if [[ -f setup.py && -z "$DISABLE_SETUP_PY_PROCESSING" ]]; then
- echo "---> Installing application ..."
- conda install -c conda-forge .
-fi
-
-if should_collectstatic; then
- (
- echo "---> Collecting Django static files ..."
-
- APP_HOME=$(readlink -f "${APP_HOME:-.}")
- # Change the working directory to APP_HOME
- PYTHONPATH="$(pwd)${PYTHONPATH:+:$PYTHONPATH}"
- cd "$APP_HOME"
-
- # Look for 'manage.py' in the current directory
- manage_file=./manage.py
-
- if [[ ! -f "$manage_file" ]]; then
- echo "WARNING: seems that you're using Django, but we could not find a 'manage.py' file."
- echo "'manage.py collectstatic' ignored."
- exit
- fi
-
- if ! python $manage_file collectstatic --dry-run --noinput &> /dev/null; then
- echo "WARNING: could not run 'manage.py collectstatic'. To debug, run:"
- echo " $ python $manage_file collectstatic --noinput"
- echo "Ignore this warning if you're not serving static files with Django."
- exit
- fi
-
- python $manage_file collectstatic --noinput
- )
-fi
-
-# set permissions for any installed artifacts
-fix-permissions /opt/app-root -P
diff --git a/base/ubi8-python-3.8/Dockerfile b/base/ubi8-python-3.8/Dockerfile
deleted file mode 100644
index 48565a12e..000000000
--- a/base/ubi8-python-3.8/Dockerfile
+++ /dev/null
@@ -1,42 +0,0 @@
-FROM registry.access.redhat.com/ubi8/python-38:latest
-
-LABEL name="odh-notebook-base-ubi8-python-3.8" \
- summary="Python 3.8 base image for ODH notebooks" \
- description="Base Python 3.8 builder image based on UBI8 for ODH notebooks" \
- io.k8s.display-name="Python 3.8 base image for ODH notebooks" \
- io.k8s.description="Base Python 3.8 builder image based on UBI8 for ODH notebooks" \
- authoritative-source-url="https://github.com/opendatahub-io/notebooks" \
- io.openshift.build.commit.ref="main" \
- io.openshift.build.source-location="https://github.com/opendatahub-io/notebooks/tree/main/base/ubi8-python-3.8" \
- io.openshift.build.image="quay.io/opendatahub/workbench-images:base-ubi8-python-3.8"
-
-WORKDIR /opt/app-root/bin
-
-# Install micropipenv to deploy packages from Pipfile.lock
-RUN pip install --no-cache-dir -U "micropipenv[toml]"
-
-# Install Python dependencies from Pipfile.lock file
-COPY Pipfile.lock ./
-
-RUN echo "Installing softwares and packages" && micropipenv install && rm -f ./Pipfile.lock
-
-# OS Packages needs to be installed as root
-USER root
-
-# Install usefull OS packages
-RUN dnf install -y mesa-libGL libnghttp2 && dnf clean all
-
-# Other apps and tools installed as default user
-USER 1001
-
-# Install the oc client
-RUN curl -L https://mirror.openshift.com/pub/openshift-v4/$(uname -m)/clients/ocp/stable/openshift-client-linux.tar.gz \
- -o /tmp/openshift-client-linux.tar.gz && \
- tar -xzvf /tmp/openshift-client-linux.tar.gz oc && \
- rm -f /tmp/openshift-client-linux.tar.gz
-
-# Fix permissions to support pip in Openshift environments
-RUN chmod -R g+w /opt/app-root/lib/python3.8/site-packages && \
- fix-permissions /opt/app-root -P
-
-WORKDIR /opt/app-root/src
diff --git a/base/ubi8-python-3.8/Pipfile b/base/ubi8-python-3.8/Pipfile
deleted file mode 100644
index 71274b7a0..000000000
--- a/base/ubi8-python-3.8/Pipfile
+++ /dev/null
@@ -1,14 +0,0 @@
-[[source]]
-name = "pypi"
-url = "https://pypi.org/simple"
-verify_ssl = true
-
-[dev-packages]
-
-[packages]
-# Base packages
-wheel = "~=0.43.0"
-setuptools = "~=69.2.0"
-
-[requires]
-python_version = "3.8"
diff --git a/base/ubi8-python-3.8/Pipfile.lock b/base/ubi8-python-3.8/Pipfile.lock
deleted file mode 100644
index ac76345de..000000000
--- a/base/ubi8-python-3.8/Pipfile.lock
+++ /dev/null
@@ -1,29 +0,0 @@
-{
- "_meta": {
- "hash": {
- "sha256": "d48313b284cdb20000c279fc14851082d48a738665ba2fc6b17df107f872bedb"
- },
- "pipfile-spec": 6,
- "requires": {
- "python_version": "3.8"
- },
- "sources": [
- {
- "name": "pypi",
- "url": "https://pypi.org/simple",
- "verify_ssl": true
- }
- ]
- },
- "default": {
- "wheel": {
- "hashes": [
- "sha256:465ef92c69fa5c5da2d1cf8ac40559a8c940886afcef87dcf14b9470862f1d85",
- "sha256:55c570405f142630c6b9f72fe09d9b67cf1477fcf543ae5b8dcb1f5b7377da81"
- ],
- "index": "pypi",
- "version": "==0.43.0"
- }
- },
- "develop": {}
-}
diff --git a/cuda/ubi8-python-3.8/Dockerfile b/cuda/ubi8-python-3.8/Dockerfile
deleted file mode 100644
index 7dc2d3903..000000000
--- a/cuda/ubi8-python-3.8/Dockerfile
+++ /dev/null
@@ -1,124 +0,0 @@
-ARG BASE_IMAGE
-FROM ${BASE_IMAGE}
-
-LABEL name="odh-notebook-cuda-ubi8-python-3.8" \
- summary="CUDA Python 3.8 base image for ODH notebooks" \
- description="CUDA Python 3.8 builder image based on UBI8 for ODH notebooks" \
- io.k8s.display-name="CUDA Python 3.8 base image for ODH notebooks" \
- io.k8s.description="CUDA Python 3.8 builder image based on UBI8 for ODH notebooks" \
- authoritative-source-url="https://github.com/opendatahub-io/notebooks" \
- io.openshift.build.commit.ref="main" \
- io.openshift.build.source-location="https://github.com/opendatahub-io/notebooks/tree/main/cuda/ubi8-python-3.8" \
- io.openshift.build.image="quay.io/opendatahub/workbench-images:cuda-ubi8-python-3.8"
-
-# Install CUDA base from:
-# https://gitlab.com/nvidia/container-images/cuda/-/blob/master/dist/12.1.1/ubi8/base/Dockerfile
-USER 0
-WORKDIR /opt/app-root/bin
-
-ENV NVARCH x86_64
-ENV NVIDIA_REQUIRE_CUDA "cuda>=12.1 brand=tesla,driver>=470,driver<471 brand=unknown,driver>=470,driver<471 brand=nvidia,driver>=470,driver<471 brand=nvidiartx,driver>=470,driver<471 brand=geforce,driver>=470,driver<471 brand=geforcertx,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=titan,driver>=470,driver<471 brand=titanrtx,driver>=470,driver<471 brand=tesla,driver>=525,driver<526 brand=unknown,driver>=525,driver<526 brand=nvidia,driver>=525,driver<526 brand=nvidiartx,driver>=525,driver<526 brand=geforce,driver>=525,driver<526 brand=geforcertx,driver>=525,driver<526 brand=quadro,driver>=525,driver<526 brand=quadrortx,driver>=525,driver<526 brand=titan,driver>=525,driver<526 brand=titanrtx,driver>=525,driver<526"
-ENV NV_CUDA_CUDART_VERSION 12.1.105-1
-
-COPY cuda.repo-x86_64 /etc/yum.repos.d/cuda.repo
-
-RUN NVIDIA_GPGKEY_SUM=d0664fbbdb8c32356d45de36c5984617217b2d0bef41b93ccecd326ba3b80c87 && \
- curl -fsSL https://developer.download.nvidia.com/compute/cuda/repos/rhel8/${NVARCH}/D42D0685.pub | sed '/^Version/d' > /etc/pki/rpm-gpg/RPM-GPG-KEY-NVIDIA && \
- echo "$NVIDIA_GPGKEY_SUM /etc/pki/rpm-gpg/RPM-GPG-KEY-NVIDIA" | sha256sum -c --strict -
-
-ENV CUDA_VERSION 12.1.1
-
-# For libraries in the cuda-compat-* package: https://docs.nvidia.com/cuda/eula/index.html#attachment-a
-RUN yum upgrade -y && yum install -y \
- cuda-cudart-12-1-${NV_CUDA_CUDART_VERSION} \
- cuda-compat-12-1 \
- && yum clean all \
- && rm -rf /var/cache/yum/*
-
-# nvidia-docker 1.0
-RUN echo "/usr/local/nvidia/lib" >> /etc/ld.so.conf.d/nvidia.conf && \
- echo "/usr/local/nvidia/lib64" >> /etc/ld.so.conf.d/nvidia.conf
-
-ENV PATH /usr/local/nvidia/bin:/usr/local/cuda/bin:${PATH}
-ENV LD_LIBRARY_PATH /usr/local/nvidia/lib:/usr/local/nvidia/lib64
-
-COPY NGC-DL-CONTAINER-LICENSE /
-
-# nvidia-container-runtime
-ENV NVIDIA_VISIBLE_DEVICES all
-ENV NVIDIA_DRIVER_CAPABILITIES compute,utility
-
-# Install CUDA runtime from:
-# https://gitlab.com/nvidia/container-images/cuda/-/blob/master/dist/12.1.1/ubi8/runtime/Dockerfile
-ENV NV_CUDA_LIB_VERSION 12.1.1-1
-ENV NV_NVTX_VERSION 12.1.105-1
-ENV NV_LIBNPP_VERSION 12.1.0.40-1
-ENV NV_LIBNPP_PACKAGE libnpp-12-1-${NV_LIBNPP_VERSION}
-ENV NV_LIBCUBLAS_VERSION 12.1.3.1-1
-ENV NV_LIBNCCL_PACKAGE_NAME libnccl
-ENV NV_LIBNCCL_PACKAGE_VERSION 2.17.1-1
-ENV NV_LIBNCCL_VERSION 2.17.1
-ENV NCCL_VERSION 2.17.1
-ENV NV_LIBNCCL_PACKAGE ${NV_LIBNCCL_PACKAGE_NAME}-${NV_LIBNCCL_PACKAGE_VERSION}+cuda12.1
-
-RUN yum install -y \
- cuda-libraries-12-1-${NV_CUDA_LIB_VERSION} \
- cuda-nvtx-12-1-${NV_NVTX_VERSION} \
- ${NV_LIBNPP_PACKAGE} \
- libcublas-12-1-${NV_LIBCUBLAS_VERSION} \
- ${NV_LIBNCCL_PACKAGE} \
- && yum clean all \
- && rm -rf /var/cache/yum/*
-
-# Install CUDA devel from:
-# https://gitlab.com/nvidia/container-images/cuda/-/blob/master/dist/12.1.1/ubi8/devel/Dockerfile
-ENV NV_CUDA_LIB_VERSION 12.1.1-1
-ENV NV_NVPROF_VERSION 12.1.105-1
-ENV NV_NVPROF_DEV_PACKAGE cuda-nvprof-12-1-${NV_NVPROF_VERSION}
-ENV NV_CUDA_CUDART_DEV_VERSION 12.1.105-1
-ENV NV_NVML_DEV_VERSION 12.1.105-1
-ENV NV_LIBCUBLAS_DEV_VERSION 12.1.3.1-1
-ENV NV_LIBNPP_DEV_VERSION 12.1.0.40-1
-ENV NV_LIBNPP_DEV_PACKAGE libnpp-devel-12-1-${NV_LIBNPP_DEV_VERSION}
-ENV NV_LIBNCCL_DEV_PACKAGE_NAME libnccl-devel
-ENV NV_LIBNCCL_DEV_PACKAGE_VERSION 2.17.1-1
-ENV NCCL_VERSION 2.17.1
-ENV NV_LIBNCCL_DEV_PACKAGE ${NV_LIBNCCL_DEV_PACKAGE_NAME}-${NV_LIBNCCL_DEV_PACKAGE_VERSION}+cuda12.1
-ENV NV_CUDA_NSIGHT_COMPUTE_VERSION 12.1.1-1
-ENV NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE cuda-nsight-compute-12-1-${NV_CUDA_NSIGHT_COMPUTE_VERSION}
-
-RUN yum install -y \
- make \
- findutils \
- cuda-command-line-tools-12-1-${NV_CUDA_LIB_VERSION} \
- cuda-libraries-devel-12-1-${NV_CUDA_LIB_VERSION} \
- cuda-minimal-build-12-1-${NV_CUDA_LIB_VERSION} \
- cuda-cudart-devel-12-1-${NV_CUDA_CUDART_DEV_VERSION} \
- ${NV_NVPROF_DEV_PACKAGE} \
- cuda-nvml-devel-12-1-${NV_NVML_DEV_VERSION} \
- libcublas-devel-12-1-${NV_LIBCUBLAS_DEV_VERSION} \
- ${NV_LIBNPP_DEV_PACKAGE} \
- ${NV_LIBNCCL_DEV_PACKAGE} \
- ${NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE} \
- && yum clean all \
- && rm -rf /var/cache/yum/*
-
-ENV LIBRARY_PATH /usr/local/cuda/lib64/stubs
-
-# Install CUDA devel cudnn8 from:
-# https://gitlab.com/nvidia/container-images/cuda/-/blob/master/dist/12.1.1/ubi8/devel/cudnn8/Dockerfile
-ENV NV_CUDNN_VERSION 8.9.0.131-1
-ENV NV_CUDNN_PACKAGE libcudnn8-${NV_CUDNN_VERSION}.cuda12.1
-ENV NV_CUDNN_PACKAGE_DEV libcudnn8-devel-${NV_CUDNN_VERSION}.cuda12.1
-
-LABEL com.nvidia.cudnn.version="${NV_CUDNN_VERSION}"
-
-RUN yum install -y \
- ${NV_CUDNN_PACKAGE} \
- ${NV_CUDNN_PACKAGE_DEV} \
- && yum clean all \
- && rm -rf /var/cache/yum/*
-
-# Restore notebook user workspace
-USER 1001
-WORKDIR /opt/app-root/src
diff --git a/cuda/ubi8-python-3.8/NGC-DL-CONTAINER-LICENSE b/cuda/ubi8-python-3.8/NGC-DL-CONTAINER-LICENSE
deleted file mode 100644
index be9eb7558..000000000
--- a/cuda/ubi8-python-3.8/NGC-DL-CONTAINER-LICENSE
+++ /dev/null
@@ -1,230 +0,0 @@
-NVIDIA DEEP LEARNING CONTAINER LICENSE
-
-This license is a legal agreement between you and NVIDIA Corporation ("NVIDIA") and governs the use
-of the NVIDIA container and all its contents (“CONTAINER”).
-
-This license can be accepted only by an adult of legal age of majority in the country in which the
-CONTAINER is used. If you are under the legal age of majority, you must ask your parent or legal
-guardian to consent to this license. If you are entering this license on behalf of a company or
-other legal entity, you represent that you have legal authority and “you” will mean the entity you
-represent.
-
-By using the CONTAINER, you affirm that you have reached the legal age of majority, you accept the
-terms of this license, and you take legal and financial responsibility for the actions of your
-permitted users.
-
-You agree to use the CONTAINER only for purposes that are permitted by (a) this license, and (b) any
-applicable law, regulation or generally accepted practices or guidelines in the relevant
-jurisdictions.
-
-1. LICENSE. Subject to the terms of this license, NVIDIA hereby grants you a non-exclusive,
-non-transferable license, without the right to sublicense (except as expressly provided in this
-license) to:
-
-a. Install and use copies of the CONTAINER, and modify and create derivative works of samples or
-example source code delivered in the CONTAINER (if applicable), to develop and test services and
-applications,
-
-b. Deploy the CONTAINER on infrastructure you own or lease to offer a service to third parties,
-without distributing the CONTAINER or exposing the NVIDIA APIs in the CONTAINER directly to such
-service users, and
-
-c. Develop and extend the CONTAINER to create a Compatible (as defined below) derived CONTAINER that
-includes the entire CONTAINER plus other software with primary functionality, to develop and compile
-applications, and distribute such derived CONTAINER to run applications, subject to the distribution
-requirements indicated in this license. As used in this section, “Compatible” means that extensions
-to the CONTAINER must not adversely affect the functionality of the other components in the
-CONTAINER.
-
-2. DISTRIBUTION REQUIREMENTS. For purposes of this Section 2, the term “distribution” also means the
-deployment of CONTAINERS in a service or an application for third parties to access over the
-internet. These are the distribution requirements for you to exercise the grants above:
-
-a. A service or an application must have material additional functionality, beyond the included
-portions of the CONTAINER.
-
-b. The following notice shall be included in modifications and derivative works of source code
-distributed: “This software contains source code provided by NVIDIA Corporation.”
-
-c. You agree to distribute the CONTAINER subject to the terms at least as protective as the terms of
-this license, including (without limitation) terms relating to the license grant, license
-restrictions and protection of NVIDIA’s intellectual property rights. Additionally, you agree that
-you will protect the privacy, security and legal rights of your application users.
-
-d. You agree to notify NVIDIA in writing of any known or suspected distribution or use of the
-CONTAINER not in compliance with the requirements of this license, and to enforce the terms of your
-agreements with respect to the distributed CONTAINER.
-
-3. AUTHORIZED USERS. You may allow employees and contractors of your entity or of your
-subsidiary(ies) to access and use the CONTAINER from your secure network to perform work on your
-behalf. If you are an academic institution you may allow users enrolled or employed by the academic
-institution to access and use the CONTAINER from your secure network. You are responsible for the
-compliance with the terms of this license by your authorized users.
-
-4. LIMITATIONS. Your license to use the CONTAINER is restricted as follows:
-
-a. The CONTAINER is licensed for you to develop services and applications only for their use in
-systems with NVIDIA GPUs.
-
-b. You may not reverse engineer, decompile or disassemble, or remove copyright or other proprietary
-notices from any portion of the CONTAINER or copies of the CONTAINER.
-
-c. Except as expressly provided in this license, you may not copy, sell, rent, sublicense, transfer,
-distribute, modify, or create derivative works of any portion of the CONTAINER. For clarity, you may
-not distribute or sublicense the CONTAINER as a stand-alone product.
-
-d. Unless you have an agreement with NVIDIA for this purpose, you may not indicate that a service or
-an application created with the CONTAINER is sponsored or endorsed by NVIDIA.
-
-e. You may not bypass, disable, or circumvent any technical limitation, encryption, security,
-digital rights management or authentication mechanism in the CONTAINER.
-
-f. You may not replace any NVIDIA software components in the CONTAINER that are governed by this
-license with other software that implements NVIDIA APIs.
-
-g. You may not use the CONTAINER in any manner that would cause it to become subject to an open
-source software license. As examples, licenses that require as a condition of use, modification,
-and/or distribution that the CONTAINER be: (i) disclosed or distributed in source code form; (ii)
-licensed for the purpose of making derivative works; or (iii) redistributable at no charge.
-
-h. Unless you have an agreement with NVIDIA for this purpose, you may not use the CONTAINER with any
-system or application where the use or failure of the system or application can reasonably be
-expected to threaten or result in personal injury, death, or catastrophic loss. Examples include use
-in avionics, navigation, military, medical, life support or other life critical applications. NVIDIA
-does not design, test or manufacture the CONTAINER for these critical uses and NVIDIA shall not be
-liable to you or any third party, in whole or in part, for any claims or damages arising from such
-uses.
-
-i. You agree to defend, indemnify and hold harmless NVIDIA and its affiliates, and their respective
-employees, contractors, agents, officers and directors, from and against any and all claims,
-damages, obligations, losses, liabilities, costs or debt, fines, restitutions and expenses
-(including but not limited to attorney’s fees and costs incident to establishing the right of
-indemnification) arising out of or related to your use of the CONTAINER outside of the scope of this
-license, or not in compliance with its terms.
-
-5. UPDATES. NVIDIA may, at its option, make available patches, workarounds or other updates to this
-CONTAINER. Unless the updates are provided with their separate governing terms, they are deemed part
-of the CONTAINER licensed to you as provided in this license. You agree that the form and content of
-the CONTAINER that NVIDIA provides may change without prior notice to you. While NVIDIA generally
-maintains compatibility between versions, NVIDIA may in some cases make changes that introduce
-incompatibilities in future versions of the CONTAINER.
-
-6. PRE-RELEASE VERSIONS. CONTAINER versions identified as alpha, beta, preview, early access or
-otherwise as pre-release may not be fully functional, may contain errors or design flaws, and may
-have reduced or different security, privacy, availability, and reliability standards relative to
-commercial versions of NVIDIA software and materials. You may use a pre-release CONTAINER version at
-your own risk, understanding that these versions are not intended for use in production or
-business-critical systems. NVIDIA may choose not to make available a commercial version of any
-pre-release CONTAINER. NVIDIA may also choose to abandon development and terminate the availability
-of a pre-release CONTAINER at any time without liability.
-
-7. THIRD-PARTY COMPONENTS. The CONTAINER may include third-party components with separate legal
-notices or terms as may be described in proprietary notices accompanying the CONTAINER. If and to
-the extent there is a conflict between the terms in this license and the third-party license terms,
-the third-party terms control only to the extent necessary to resolve the conflict.
-
-You acknowledge and agree that it is your sole responsibility to obtain any additional third-party
-licenses required to make, have made, use, have used, sell, import, and offer for sale your products
-or services that include or incorporate any third-party software and content relating to audio
-and/or video encoders and decoders from, including but not limited to, Microsoft, Thomson,
-Fraunhofer IIS, Sisvel S.p.A., MPEG-LA, and Coding Technologies. NVIDIA does not grant to you under
-this license any necessary patent or other rights with respect to any audio and/or video encoders
-and decoders.
-
-Subject to the other terms of this license, you may use the CONTAINER to develop and test
-applications released under Open Source Initiative (OSI) approved open source software licenses.
-
-8. OWNERSHIP.
-
-8.1 NVIDIA reserves all rights, title and interest in and to the CONTAINER not expressly granted to
-you under this license. NVIDIA and its suppliers hold all rights, title and interest in and to the
-CONTAINER, including their respective intellectual property rights. The CONTAINER is copyrighted and
-protected by the laws of the United States and other countries, and international treaty provisions.
-
-8.2 Subject to the rights of NVIDIA and its suppliers in the CONTAINER, you hold all rights, title
-and interest in and to your services, applications and your derivative works of the sample source
-code delivered in the CONTAINER including their respective intellectual property rights.
-
-9. FEEDBACK. You may, but are not obligated to, provide to NVIDIA suggestions, fixes, modifications,
-feature requests or other feedback regarding the CONTAINER (“Feedback”). Feedback, even if
-designated as confidential by you, shall not create any confidentiality obligation for NVIDIA.
-NVIDIA and its designees have a perpetual, non-exclusive, worldwide, irrevocable license to use,
-reproduce, publicly display, modify, create derivative works of, license, sublicense, and otherwise
-distribute and exploit Feedback as NVIDIA sees fit without payment and without obligation or
-restriction of any kind on account of intellectual property rights or otherwise.
-
-10. NO WARRANTIES. THE CONTAINER IS PROVIDED AS-IS. TO THE MAXIMUM EXTENT PERMITTED BY APPLICABLE
-LAW NVIDIA AND ITS AFFILIATES EXPRESSLY DISCLAIM ALL WARRANTIES OF ANY KIND OR NATURE, WHETHER
-EXPRESS, IMPLIED OR STATUTORY, INCLUDING, BUT NOT LIMITED TO, WARRANTIES OF MERCHANTABILITY,
-NON-INFRINGEMENT, OR FITNESS FOR A PARTICULAR PURPOSE. NVIDIA DOES NOT WARRANT THAT THE CONTAINER
-WILL MEET YOUR REQUIREMENTS OR THAT THE OPERATION THEREOF WILL BE UNINTERRUPTED OR ERROR-FREE, OR
-THAT ALL ERRORS WILL BE CORRECTED.
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-11. LIMITATIONS OF LIABILITY. TO THE MAXIMUM EXTENT PERMITTED BY APPLICABLE LAW NVIDIA AND ITS
-AFFILIATES SHALL NOT BE LIABLE FOR ANY SPECIAL, INCIDENTAL, PUNITIVE OR CONSEQUENTIAL DAMAGES, OR
-FOR ANY LOST PROFITS, PROJECT DELAYS, LOSS OF USE, LOSS OF DATA OR LOSS OF GOODWILL, OR THE COSTS OF
-PROCURING SUBSTITUTE PRODUCTS, ARISING OUT OF OR IN CONNECTION WITH THIS LICENSE OR THE USE OR
-PERFORMANCE OF THE CONTAINER, WHETHER SUCH LIABILITY ARISES FROM ANY CLAIM BASED UPON BREACH OF
-CONTRACT, BREACH OF WARRANTY, TORT (INCLUDING NEGLIGENCE), PRODUCT LIABILITY OR ANY OTHER CAUSE OF
-ACTION OR THEORY OF LIABILITY, EVEN IF NVIDIA HAS PREVIOUSLY BEEN ADVISED OF, OR COULD REASONABLY
-HAVE FORESEEN, THE POSSIBILITY OF SUCH DAMAGES. IN NO EVENT WILL NVIDIA’S AND ITS AFFILIATES TOTAL
-CUMULATIVE LIABILITY UNDER OR ARISING OUT OF THIS LICENSE EXCEED US$10.00. THE NATURE OF THE
-LIABILITY OR THE NUMBER OF CLAIMS OR SUITS SHALL NOT ENLARGE OR EXTEND THIS LIMIT.
-
-12. TERMINATION. Your rights under this license will terminate automatically without notice from
-NVIDIA if you fail to comply with any term and condition of this license or if you commence or
-participate in any legal proceeding against NVIDIA with respect to the CONTAINER. NVIDIA may
-terminate this license with advance written notice to you, if NVIDIA decides to no longer provide
-the CONTAINER in a country or, in NVIDIA’s sole discretion, the continued use of it is no longer
-commercially viable. Upon any termination of this license, you agree to promptly discontinue use of
-the CONTAINER and destroy all copies in your possession or control. Your prior distributions in
-accordance with this license are not affected by the termination of this license. All provisions of
-this license will survive termination, except for the license granted to you.
-
-13. APPLICABLE LAW. This license will be governed in all respects by the laws of the United States
-and of the State of Delaware, without regard to the conflicts of laws principles. The United Nations
-Convention on Contracts for the International Sale of Goods is specifically disclaimed. You agree to
-all terms of this license in the English language. The state or federal courts residing in Santa
-Clara County, California shall have exclusive jurisdiction over any dispute or claim arising out of
-this license. Notwithstanding this, you agree that NVIDIA shall still be allowed to apply for
-injunctive remedies or urgent legal relief in any jurisdiction.
-
-14. NO ASSIGNMENT. This license and your rights and obligations thereunder may not be assigned by
-you by any means or operation of law without NVIDIA’s permission. Any attempted assignment not
-approved by NVIDIA in writing shall be void and of no effect. NVIDIA may assign, delegate or
-transfer this license and its rights and obligations, and if to a non-affiliate you will be
-notified.
-
-15. EXPORT. The CONTAINER is subject to United States export laws and regulations. You agree to
-comply with all applicable
-
-U.S. and international export laws, including the Export Administration Regulations (EAR)
-administered by the U.S. Department of Commerce and economic sanctions administered by the U.S.
-Department of Treasury’s Office of Foreign Assets Control (OFAC). These laws include restrictions on
-destinations, end-users and end-use. By accepting this license, you confirm that you are not
-currently residing in a country or region currently embargoed by the U.S. and that you are not
-otherwise prohibited from receiving the CONTAINER.
-
-16. GOVERNMENT USE. The CONTAINER is, and shall be treated as being, “Commercial Items” as that term
-is defined at 48 CFR § 2.101, consisting of “commercial computer software” and “commercial computer
-software documentation”, respectively, as such terms are used in, respectively, 48 CFR § 12.212 and
-48 CFR §§ 227.7202 & 252.227-7014(a)(1). Use, duplication or disclosure by the U.S. Government or a
-U.S. Government subcontractor is subject to the restrictions in this license pursuant to 48 CFR §
-12.212 or 48 CFR § 227.7202. In no event shall the US Government user acquire rights in the
-CONTAINER beyond those specified in 48 C.F.R. 52.227-19(b)(1)-(2).
-
-17. NOTICES. Please direct your legal notices or other correspondence to NVIDIA Corporation, 2788
-San Tomas Expressway, Santa Clara, California 95051, United States of America, Attention: Legal
-Department.
-
-18. ENTIRE AGREEMENT. This license is the final, complete and exclusive agreement between the
-parties relating to the subject matter of this license and supersedes all prior or contemporaneous
-understandings and agreements relating to this subject matter, whether oral or written. If any court
-of competent jurisdiction determines that any provision of this license is illegal, invalid or
-unenforceable, the remaining provisions will remain in full force and effect. Any amendment or
-waiver under this license shall be in writing and signed by representatives of both parties.
-
-19. LICENSING. If the distribution terms in this license are not suitable for your organization, or
-for any questions regarding this license, please contact NVIDIA at nvidia-compute-license-questions@nvidia.com.
-
-(v. December 4, 2020)
diff --git a/cuda/ubi8-python-3.8/cuda.repo-arm64 b/cuda/ubi8-python-3.8/cuda.repo-arm64
deleted file mode 100644
index 2cc16df67..000000000
--- a/cuda/ubi8-python-3.8/cuda.repo-arm64
+++ /dev/null
@@ -1,6 +0,0 @@
-[cuda]
-name=cuda
-baseurl=https://developer.download.nvidia.com/compute/cuda/repos/rhel8/sbsa
-enabled=1
-gpgcheck=1
-gpgkey=file:///etc/pki/rpm-gpg/RPM-GPG-KEY-NVIDIA
diff --git a/cuda/ubi8-python-3.8/cuda.repo-ppc64le b/cuda/ubi8-python-3.8/cuda.repo-ppc64le
deleted file mode 100644
index 1df4a2c05..000000000
--- a/cuda/ubi8-python-3.8/cuda.repo-ppc64le
+++ /dev/null
@@ -1,6 +0,0 @@
-[cuda]
-name=cuda
-baseurl=https://developer.download.nvidia.com/compute/cuda/repos/rhel8/ppc64le
-enabled=1
-gpgcheck=1
-gpgkey=file:///etc/pki/rpm-gpg/RPM-GPG-KEY-NVIDIA
diff --git a/cuda/ubi8-python-3.8/cuda.repo-x86_64 b/cuda/ubi8-python-3.8/cuda.repo-x86_64
deleted file mode 100644
index ba2cba68f..000000000
--- a/cuda/ubi8-python-3.8/cuda.repo-x86_64
+++ /dev/null
@@ -1,6 +0,0 @@
-[cuda]
-name=cuda
-baseurl=https://developer.download.nvidia.com/compute/cuda/repos/rhel8/x86_64
-enabled=1
-gpgcheck=1
-gpgkey=file:///etc/pki/rpm-gpg/RPM-GPG-KEY-NVIDIA
diff --git a/habana/1.10.0/ubi8-python-3.8/Dockerfile b/habana/1.10.0/ubi8-python-3.8/Dockerfile
deleted file mode 100644
index 791f36b35..000000000
--- a/habana/1.10.0/ubi8-python-3.8/Dockerfile
+++ /dev/null
@@ -1,163 +0,0 @@
-# Copyright (c) 2022 Habana Labs, Ltd.
-#
-# SPDX-License-Identifier: Apache-2.0
-#
-# HabanaLabs Dockerfile base installer layer for RedHat 8.6
-# Reference: https://github.com/HabanaAI/Setup_and_Install/blob/1.10.0/dockerfiles/base/Dockerfile.rhel8.6
-ARG BASE_IMAGE
-FROM ${BASE_IMAGE}
-
-ARG ARTIFACTORY_URL="vault.habana.ai"
-ARG VERSION="1.10.0"
-ARG REVISION="494"
-ARG PT_VERSION="2.0.1"
-
-USER root
-
-RUN dnf install -y https://dl.fedoraproject.org/pub/epel/epel-release-latest-8.noarch.rpm && \
- dnf clean all && rm -rf /var/cache/yum
-
-RUN echo "[appstream]" > /etc/yum.repos.d/CentOS-Linux-AppStream.repo && \
- echo "name=CentOS Linux 8 - AppStream" >> /etc/yum.repos.d/CentOS-Linux-AppStream.repo && \
- echo "baseurl=https://vault.centos.org/\$releasever-stream/AppStream/\$basearch/os/" >> /etc/yum.repos.d/CentOS-Linux-AppStream.repo && \
- echo "gpgcheck=0" >> /etc/yum.repos.d/CentOS-Linux-AppStream.repo
-
-RUN echo "[BaseOS]" > /etc/yum.repos.d/CentOS-Linux-BaseOS.repo && \
- echo "name=CentOS Linux 8 - BaseOS" >> /etc/yum.repos.d/CentOS-Linux-BaseOS.repo && \
- echo "baseurl=https://vault.centos.org/\$releasever-stream/BaseOS/\$basearch/os/" >> /etc/yum.repos.d/CentOS-Linux-BaseOS.repo && \
- echo "gpgcheck=0" >> /etc/yum.repos.d/CentOS-Linux-BaseOS.repo
-
-RUN dnf install -y \
- clang \
- cmake3 \
- cpp \
- gcc \
- gcc-c++ \
- glibc \
- glibc-headers \
- glibc-devel \
- jemalloc \
- libarchive \
- libksba \
- unzip \
- llvm \
- lsof \
- python38-devel \
- openssh-clients \
- libjpeg-devel \
- openssh-server \
- redhat-lsb-core \
- wget \
- git \
- mesa-libGL \
- python3-dnf-plugin-versionlock && \
- # update pkgs (except OS version) for resolving potentials CVEs
- dnf versionlock add redhat-release* && \
- dnf update -y && \
- dnf clean all && rm -rf /var/cache/yum
-
-ENV LD_LIBRARY_PATH=/usr/lib/habanalabs:$LD_LIBRARY_PATH
-ENV RDMAV_FORK_SAFE=1
-
-RUN echo "[habanalabs]" > /etc/yum.repos.d/habanalabs.repo && \
- echo "name=Habana RH8 Linux repo" >> /etc/yum.repos.d/habanalabs.repo && \
- echo "baseurl=https://${ARTIFACTORY_URL}/artifactory/rhel/8/8.6" >> /etc/yum.repos.d/habanalabs.repo && \
- echo "gpgkey=https://${ARTIFACTORY_URL}/artifactory/rhel/8/8.6/repodata/repomd.xml.key" >> /etc/yum.repos.d/habanalabs.repo
-
-RUN echo "[powertools]" > /etc/yum.repos.d/powertools.repo && \
- echo "name=powertools" >> /etc/yum.repos.d/powertools.repo && \
- echo "baseurl=https://vault.centos.org/\$releasever-stream/PowerTools/\$basearch/os/" >> /etc/yum.repos.d/powertools.repo && \
- echo "gpgcheck=0" >> /etc/yum.repos.d/powertools.repo
-
-RUN dnf install -y habanalabs-rdma-core-"$VERSION"-"$REVISION".el8 \
- habanalabs-thunk-"$VERSION"-"$REVISION".el8 \
- habanalabs-firmware-tools-"$VERSION"-"$REVISION".el8 \
- habanalabs-graph-"$VERSION"-"$REVISION".el8 && \
- rm -f /etc/yum.repos.d/habanalabs.repo && rm -rf /tmp/* && \
- dnf clean all && rm -rf /var/cache/yum
-
-# There is no need to store pip installation files inside docker image
-ENV PIP_NO_CACHE_DIR=on
-ENV PIP_DISABLE_PIP_VERSION_CHECK=1
-
-# Install python packages
-# RUN python3.8 -m pip install hpu_media_loader=="${VERSION}"."${REVISION}"
-# Install Python packages and Jupyterlab extensions from Pipfile.lock
-COPY Pipfile.lock ./
-
-RUN echo "Installing softwares and packages" && micropipenv install && rm -f ./Pipfile.lock
-
-RUN echo "export LANG=en_US.UTF-8" >> /root/.bashrc
-RUN export LANG=en_US.UTF-8
-ENV GC_KERNEL_PATH=/usr/lib/habanalabs/libtpc_kernels.so
-ENV HABANA_LOGS=/var/log/habana_logs/
-ENV HABANA_SCAL_BIN_PATH=/opt/habanalabs/engines_fw
-ENV HABANA_PLUGINS_LIB_PATH=/opt/habanalabs/habana_plugins
-
-## Install habana tensorflow
-## Reference: https://github.com/HabanaAI/Setup_and_Install/blob/1.10.0/dockerfiles/tensorflow/Dockerfile.rhel8.6
-
-# For AML/CentOS/RHEL OS'es TFIO_DATAPATH have to be specified to import tensorflow_io lib correctly
-ENV TFIO_DATAPATH=/opt/app-root/src/python3.8/site-packages/
-
-# For AML/CentOS/RHEL ca-cert file is expected exactly under /etc/ssl/certs/ca-certificates.crt
-# otherwise curl will fail during access to S3 AWS storage
-RUN ln -s /etc/ssl/certs/ca-bundle.crt /etc/ssl/certs/ca-certificates.crt
-
-## Install habana pytorch
-## Reference: https://github.com/HabanaAI/Setup_and_Install/blob/1.10.0/dockerfiles/pytorch/Dockerfile.rhel8.6
-ENV LANG=en_US.UTF-8
-ENV PYTHONPATH=/root:/usr/lib/habanalabs/
-
-RUN dnf install -y \
- curl \
- cairo-devel \
- numactl-devel \
- iproute \
- which \
- zlib-devel \
- lapack-devel \
- openblas-devel \
- numactl \
- gperftools-devel && \
- dnf clean all && rm -rf /var/cache/yum
-
-RUN wget --no-verbose https://"${ARTIFACTORY_URL}"/artifactory/gaudi-pt-modules/"${VERSION}"/"${REVISION}"\
-/pytorch/rhel86/pytorch_modules-v"${PT_VERSION}"_"${VERSION}"_"${REVISION}".tgz && \
- mkdir /root/habanalabs /root/habanalabs/pytorch_temp && \
- tar -xf pytorch_modules-v"${PT_VERSION}"_"${VERSION}"_"${REVISION}".tgz -C /root/habanalabs/pytorch_temp/. && \
- pip3 install /root/habanalabs/pytorch_temp/*.whl && \
- pip3 install $(grep "lightning" /root/habanalabs/pytorch_temp/requirements-pytorch.txt) && \
- pip3 install tensorboard~=2.12.2 protobuf==3.20.3 && \
- pip3 install -U habana-lightning-plugins=="${VERSION}"."${REVISION}" && \
- pip3 uninstall -y pillow pillow-simd && \
- pip3 install pillow-simd==7.0.0.post3 && \
- rm -rf /root/habanalabs/pytorch_temp/ && \
- rm -rf pytorch_modules-v"${PT_VERSION}"_"${VERSION}"_"${REVISION}".tgz && \
- echo "source /etc/profile.d/habanalabs.sh" >> ~/.bashrc
-
-ENV LD_PRELOAD=/lib64/libtcmalloc.so.4
-ENV TCMALLOC_LARGE_ALLOC_REPORT_THRESHOLD=7516192768
-
-RUN dnf clean all && rm -rf /var/cache/dnf && rm -rf /tmp/*
-
-## Label the image with details required by ODH
-LABEL name="odh-notebook-habana-jupyter-1.10.0-ubi8-python-3.8" \
- summary="Jupyter HabanaAI 1.10.0 notebook image for ODH notebooks" \
- description="Jupyter HabanaAI 1.10.0 notebook image with base Python 3.8 builder image based on ubi8 for ODH notebooks" \
- io.k8s.display-name="Jupyter HabanaAI 1.10.0 notebook image for ODH notebooks" \
- io.k8s.description="Jupyter HabanaAI 1.10.0 notebook image with base Python 3.8 builder image based on ubi8 for ODH notebooks" \
- authoritative-source-url="https://github.com/opendatahub-io/notebooks" \
- io.openshift.build.commit.ref="main" \
- io.openshift.build.source-location="https://github.com/opendatahub-io/notebooks/tree/main/habana/1.10.0/ubi8-python-3.8" \
- io.openshift.build.image="quay.io/opendatahub/workbench-images:habana-jupyter-1.10.0-ubi8-python-3.8"
-
-# Replace Notebook's launcher, "(ipykernel)" with Python's version 3.x
-RUN sed -i -e "s/Python.*/$(python --version| cut -d '.' -f-2)\",/" /opt/app-root/share/jupyter/kernels/python3/kernel.json && \
- # Fix permissions to support pip in Openshift environments \
- chmod -R g+w /opt/app-root/lib/python3.8/site-packages && \
- fix-permissions /opt/app-root -P
-
-USER 1001
-
-WORKDIR /opt/app-root/src
\ No newline at end of file
diff --git a/habana/1.10.0/ubi8-python-3.8/Pipfile b/habana/1.10.0/ubi8-python-3.8/Pipfile
deleted file mode 100644
index 2c333ba2d..000000000
--- a/habana/1.10.0/ubi8-python-3.8/Pipfile
+++ /dev/null
@@ -1,68 +0,0 @@
-[[source]]
-url = "https://pypi.org/simple"
-verify_ssl = true
-name = "pypi"
-
-[dev-packages]
-
-[packages]
-# Habana requirements
-habana_media_loader = "==1.10.0.494"
-
-# TensorFlow and useful extensions
-habana-tensorflow = "==1.10.0.494"
-tensorflow-cpu = "==2.12.0"
-tensorflow-io = "==0.32.0"
-tensorboard = "~=2.12.2"
-tf2onnx = "~= 1.13.0"
-
-# Pytorch and useful extension
-habana-pyhlml = "==1.10.0.494"
-
-# Below pkgs are required for pytorch-fork
-cffi = "==1.14.6"
-typing-extensions = ">=4.0.0"
-numpy = "==1.23.5"
-ninja = "==1.10.2"
-pyyaml = "==5.4.1"
-mkl = "==2022.0.2"
-mkl-include = "==2022.0.2"
-pybind11 = "==2.6.2"
-
-# Parent image requirements to maintain cohesion
-elyra-pipeline-editor-extension = "~=3.15.0"
-elyra-python-editor-extension = "~=3.15.0"
-elyra-code-snippet-extension = "~=3.15.0"
-kfp-tekton = "==1.5.7" # pinned to avoid upgrade of pyyaml which is required.
-boto3 = "~=1.26.165"
-kafka-python = "~=2.0.2"
-matplotlib = "~=3.6.3"
-pandas = "~=1.5.3"
-plotly = "~=5.13.1"
-scikit-learn = "~=1.2.2"
-scipy = "~=1.10.1"
-
-jupyter-bokeh = "~=3.0.5"
-jupyterlab-lsp = "~=3.10.2"
-jupyterlab-widgets = "~=3.0.5"
-jupyter-resource-usage = "~=0.7.2"
-
-# Parent image requirements to maintain cohesion
-jupyterlab = "~=3.5.3"
-jupyter-server = "~=2.1.0"
-jupyter-server-proxy = "~=3.2.4"
-jupyter-server-terminals = "~=0.4.4"
-jupyterlab-git = "~=0.41.0"
-nbdime = "~=3.1.1"
-nbgitpuller = "~=1.1.1"
-# ---
-wheel = "~=0.38.4"
-
-# conflict between python-lsp-server and following packages
-# due to pycodestyle dependency, pinning this, till we get
-# a fix from python-lsp-server
-autopep8 = "~=2.0.4"
-flake8 = "~=7.0.0"
-
-[requires]
-python_version = "3.8"
diff --git a/habana/1.10.0/ubi8-python-3.8/Pipfile.lock b/habana/1.10.0/ubi8-python-3.8/Pipfile.lock
deleted file mode 100644
index 45da391d7..000000000
--- a/habana/1.10.0/ubi8-python-3.8/Pipfile.lock
+++ /dev/null
@@ -1,3770 +0,0 @@
-{
- "_meta": {
- "hash": {
- "sha256": "3886f50647f504b4023b69c3c8fc50ef2b3792c244dc647c0d51308e381efc36"
- },
- "pipfile-spec": 6,
- "requires": {
- "python_version": "3.8"
- },
- "sources": [
- {
- "name": "pypi",
- "url": "https://pypi.org/simple",
- "verify_ssl": true
- }
- ]
- },
- "default": {
- "absl-py": {
- "hashes": [
- "sha256:0d3fe606adfa4f7db64792dd4c7aee4ee0c38ab75dfd353b7a83ed3e957fcb47",
- "sha256:d2c244d01048ba476e7c080bd2c6df5e141d211de80223460d5b3b8a2a58433d"
- ],
- "markers": "python_version >= '3.6'",
- "version": "==1.4.0"
- },
- "aiohttp": {
- "hashes": [
- "sha256:0605cc2c0088fcaae79f01c913a38611ad09ba68ff482402d3410bf59039bfb8",
- "sha256:0a158704edf0abcac8ac371fbb54044f3270bdbc93e254a82b6c82be1ef08f3c",
- "sha256:0cbf56238f4bbf49dab8c2dc2e6b1b68502b1e88d335bea59b3f5b9f4c001475",
- "sha256:1732102949ff6087589408d76cd6dea656b93c896b011ecafff418c9661dc4ed",
- "sha256:18f634d540dd099c262e9f887c8bbacc959847cfe5da7a0e2e1cf3f14dbf2daf",
- "sha256:239f975589a944eeb1bad26b8b140a59a3a320067fb3cd10b75c3092405a1372",
- "sha256:2faa61a904b83142747fc6a6d7ad8fccff898c849123030f8e75d5d967fd4a81",
- "sha256:320e8618eda64e19d11bdb3bd04ccc0a816c17eaecb7e4945d01deee2a22f95f",
- "sha256:38d80498e2e169bc61418ff36170e0aad0cd268da8b38a17c4cf29d254a8b3f1",
- "sha256:3916c8692dbd9d55c523374a3b8213e628424d19116ac4308e434dbf6d95bbdd",
- "sha256:393c7aba2b55559ef7ab791c94b44f7482a07bf7640d17b341b79081f5e5cd1a",
- "sha256:3b7b30258348082826d274504fbc7c849959f1989d86c29bc355107accec6cfb",
- "sha256:3fcb4046d2904378e3aeea1df51f697b0467f2aac55d232c87ba162709478c46",
- "sha256:4109adee842b90671f1b689901b948f347325045c15f46b39797ae1bf17019de",
- "sha256:4558e5012ee03d2638c681e156461d37b7a113fe13970d438d95d10173d25f78",
- "sha256:45731330e754f5811c314901cebdf19dd776a44b31927fa4b4dbecab9e457b0c",
- "sha256:4715a9b778f4293b9f8ae7a0a7cef9829f02ff8d6277a39d7f40565c737d3771",
- "sha256:471f0ef53ccedec9995287f02caf0c068732f026455f07db3f01a46e49d76bbb",
- "sha256:4d3ebb9e1316ec74277d19c5f482f98cc65a73ccd5430540d6d11682cd857430",
- "sha256:4ff550491f5492ab5ed3533e76b8567f4b37bd2995e780a1f46bca2024223233",
- "sha256:52c27110f3862a1afbcb2af4281fc9fdc40327fa286c4625dfee247c3ba90156",
- "sha256:55b39c8684a46e56ef8c8d24faf02de4a2b2ac60d26cee93bc595651ff545de9",
- "sha256:5a7ee16aab26e76add4afc45e8f8206c95d1d75540f1039b84a03c3b3800dd59",
- "sha256:5ca51eadbd67045396bc92a4345d1790b7301c14d1848feaac1d6a6c9289e888",
- "sha256:5d6b3f1fabe465e819aed2c421a6743d8debbde79b6a8600739300630a01bf2c",
- "sha256:60cdbd56f4cad9f69c35eaac0fbbdf1f77b0ff9456cebd4902f3dd1cf096464c",
- "sha256:6380c039ec52866c06d69b5c7aad5478b24ed11696f0e72f6b807cfb261453da",
- "sha256:639d0042b7670222f33b0028de6b4e2fad6451462ce7df2af8aee37dcac55424",
- "sha256:66331d00fb28dc90aa606d9a54304af76b335ae204d1836f65797d6fe27f1ca2",
- "sha256:67c3119f5ddc7261d47163ed86d760ddf0e625cd6246b4ed852e82159617b5fb",
- "sha256:694d828b5c41255e54bc2dddb51a9f5150b4eefa9886e38b52605a05d96566e8",
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- "sha256:63b20738b5aac74e239622d2fe30df4fca4942a86e31bf47a81a0e94c14df94f",
- "sha256:686a0c2f85f83463272ddffd4deb5e591c98aac1897d65e92319f729c320eece",
- "sha256:6a962e04b8f91f8c4e5917e518d17958e3bdee71fd1d8b88cdce74dd0ebbf434",
- "sha256:6ad6d10ed9b67a382b45f29ea028f92d25bc0bc1daf6c5b801b90b5aa70fb9ec",
- "sha256:6f5cb257bc2ec58f437da2b37a8cd48f666db96d47b8a3115c29f316313654ff",
- "sha256:6fe79f998a4052d79e1c30eeb7d6c1c1056ad33300f682465e1b4e9b5a188b78",
- "sha256:7855426dfbddac81896b6e533ebefc0af2f132d4a47340cee6d22cac7190022d",
- "sha256:7d5aaac37d19b2904bb9dfe12cdb08c8443e7ba7d2852894ad448d4b8f442863",
- "sha256:801e9264d19643548651b9db361ce3287176671fb0117f96b5ac0ee1c3530d53",
- "sha256:81eb57278deb6098a5b62e88ad8281b2ba09f2f1147c4767522353eaa6260b31",
- "sha256:824d6c50492add5da9374875ce72db7a0733b29c2394890aef23d533106e2b15",
- "sha256:8397a3817d7dcdd14bb266283cd1d6fc7264a48c186b986f32e86d86d35fbac5",
- "sha256:848cd2a1df56ddbffeb375535fb62c9d1645dde33ca4d51341378b3f5954429b",
- "sha256:84fc30f71689d7fc9168b92788abc977dc8cefa806909565fc2951d02f6b7d57",
- "sha256:8619d6915b3b0b34420cf9b2bb6d81ef59d984cb0fde7544e9ece32b4b3043c3",
- "sha256:8a854227cf581330ffa2c4824d96e52ee621dd571078a252c25e3a3b3d94a1b1",
- "sha256:8be9e837ea9113676e5754b43b940b50cce76d9ed7d2461df1af39a8ee674d9f",
- "sha256:928cecb0ef9d5a7946eb6ff58417ad2fe9375762382f1bf5c55e61645f2c43ad",
- "sha256:957b4774373cf6f709359e5c8c4a0af9f6d7875db657adb0feaf8d6cb3c3964c",
- "sha256:992f18e0ea248ee03b5a6e8b3b4738850ae7dbb172cc41c966462801cbf62cf7",
- "sha256:9fc5fc1eeb029757349ad26bbc5880557389a03fa6ada41703db5e068881e5f2",
- "sha256:a00862fb23195b6b8322f7d781b0dc1d82cb3bcac346d1e38689370cc1cc398b",
- "sha256:a3a6ed1d525bfb91b3fc9b690c5a21bb52de28c018530ad85093cc488bee2dd2",
- "sha256:a6327976c7c2f4ee6816eff196e25385ccc02cb81427952414a64811037bbc8b",
- "sha256:a7409f968456111140c1c95301cadf071bd30a81cbd7ab829169fb9e3d72eae9",
- "sha256:a825ec844298c791fd28ed14ed1bffc56a98d15b8c58a20e0e08c1f5f2bea1be",
- "sha256:a8c1df72eb746f4136fe9a2e72b0c9dc1da1cbd23b5372f94b5820ff8ae30e0e",
- "sha256:a9bd00dc3bc395a662900f33f74feb3e757429e545d831eef5bb280252631984",
- "sha256:aa102d6d280a5455ad6a0f9e6d769989638718e938a6a0a2ff3f4a7ff8c62cc4",
- "sha256:aaaea1e536f98754a6e5c56091baa1b6ce2f2700cc4a00b0d49eca8dea471074",
- "sha256:ad4d7a90a92e528aadf4965d685c17dacff3df282db1121136c382dc0b6014d2",
- "sha256:b8477c1ee4bd47c57d49621a062121c3023609f7a13b8a46953eb6c9716ca392",
- "sha256:ba6f52cbc7809cd8d74604cce9c14868306ae4aa0282016b641c661f981a6e91",
- "sha256:bac8d525a8dbc2a1507ec731d2867025d11ceadcb4dd421423a5d42c56818541",
- "sha256:bef596fdaa8f26e3d66af846bbe77057237cb6e8efff8cd7cc8dff9a62278bbf",
- "sha256:c0ec0ed476f77db9fb29bca17f0a8fcc7bc97ad4c6c1d8959c507decb22e8572",
- "sha256:c38c9ddb6103ceae4e4498f9c08fac9b590c5c71b0370f98714768e22ac6fa66",
- "sha256:c7224cab95645c7ab53791022ae77a4509472613e839dab722a72abe5a684575",
- "sha256:c74018551e31269d56fab81a728f683667e7c28c04e807ba08f8c9e3bba32f14",
- "sha256:ca06675212f94e7a610e85ca36948bb8fc023e458dd6c63ef71abfd482481aa5",
- "sha256:d1d2532b340b692880261c15aee4dc94dd22ca5d61b9db9a8a361953d36410b1",
- "sha256:d25039a474c4c72a5ad4b52495056f843a7ff07b632c1b92ea9043a3d9950f6e",
- "sha256:d5ff2c858f5f6a42c2a8e751100f237c5e869cbde669a724f2062d4c4ef93551",
- "sha256:d7d7f7de27b8944f1fee2c26a88b4dabc2409d2fea7a9ed3df79b67277644e17",
- "sha256:d7eeb6d22331e2fd42fce928a81c697c9ee2d51400bd1a28803965883e13cead",
- "sha256:d8a1c6c0be645c745a081c192e747c5de06e944a0d21245f4cf7c05e457c36e0",
- "sha256:d8b889777de69897406c9fb0b76cdf2fd0f31267861ae7501d93003d55f54fbe",
- "sha256:d9e09c9d74f4566e905a0b8fa668c58109f7624db96a2171f21747abc7524234",
- "sha256:db8e58b9d79200c76956cefd14d5c90af54416ff5353c5bfd7cbe58818e26ef0",
- "sha256:ddb2a5c08a4eaaba605340fdee8fc08e406c56617566d9643ad8bf6852778fc7",
- "sha256:e0381b4ce23ff92f8170080c97678040fc5b08da85e9e292292aba67fdac6c34",
- "sha256:e23a6d84d9d1738dbc6e38167776107e63307dfc8ad108e580548d1f2c587f42",
- "sha256:e516dc8baf7b380e6c1c26792610230f37147bb754d6426462ab115a02944385",
- "sha256:ea65804b5dc88dacd4a40279af0cdadcfe74b3e5b4c897aa0d81cf86927fee78",
- "sha256:ec61d826d80fc293ed46c9dd26995921e3a82146feacd952ef0757236fc137be",
- "sha256:ee04010f26d5102399bd17f8df8bc38dc7ccd7701dc77f4a68c5b8d733406958",
- "sha256:f3bc6af6e2b8f92eced34ef6a96ffb248e863af20ef4fde9448cc8c9b858b749",
- "sha256:f7d6b36dd2e029b6bcb8a13cf19664c7b8e19ab3a58e0fefbb5b8461447ed5ec"
- ],
- "markers": "python_version >= '3.7'",
- "version": "==1.9.4"
- },
- "yaspin": {
- "hashes": [
- "sha256:58aaa19330b9eacf86241043342b4040ded75f170240276d963c570263cd8f53",
- "sha256:f96ab3b5c42e1eaa6af3193508082309d9dc43f6963339f9aa606003ee8d7e63"
- ],
- "markers": "python_version < '4' and python_full_version >= '3.8.1'",
- "version": "==2.5.0"
- },
- "zipp": {
- "hashes": [
- "sha256:bf1dcf6450f873a13e952a29504887c89e6de7506209e5b1bcc3460135d4de19",
- "sha256:f091755f667055f2d02b32c53771a7a6c8b47e1fdbc4b72a8b9072b3eef8015c"
- ],
- "markers": "python_version < '3.10'",
- "version": "==3.19.2"
- }
- },
- "develop": {}
-}
diff --git a/habana/1.10.0/ubi8-python-3.8/README.md b/habana/1.10.0/ubi8-python-3.8/README.md
deleted file mode 100644
index 124f8eb4c..000000000
--- a/habana/1.10.0/ubi8-python-3.8/README.md
+++ /dev/null
@@ -1,27 +0,0 @@
-# Habana Notebook Image
-This directory contains the Dockerfile to build a Notebook image compatible with 1.10.0 Habana Version.
-
-Currently supporting the support matrix:
-https://docs.habana.ai/en/latest/Support_Matrix/Support_Matrix_v1.10.0.html
-
-
-| Firmware | version |
-| ------------------------ | ---------------- |
-| First-gen Gaudi Firmware | 1.2.3 |
-| Gaudi2 Firmware | 1.10.0-fw-43.2.0 |
-
-
-| Python-package | version |
-| -------------- | ------- |
-| torch | 2.0.1 |
-| tensorflow | 2.12.0 |
-| pandas | 1.5.3 |
-| numpy | 1.23.5 |
-| scipy | 1.10.1 |
-
-Reference:
-https://github.com/HabanaAI/Setup_and_Install/tree/1.10.0
-
-
-For further documentation related to HabanaAI, please refer:
-https://docs.habana.ai/en/v1.10.0/Gaudi_Overview/index.html
\ No newline at end of file
diff --git a/habana/1.10.0/ubi8-python-3.8/kustomize/base/kustomization.yaml b/habana/1.10.0/ubi8-python-3.8/kustomize/base/kustomization.yaml
deleted file mode 100644
index 053283571..000000000
--- a/habana/1.10.0/ubi8-python-3.8/kustomize/base/kustomization.yaml
+++ /dev/null
@@ -1,13 +0,0 @@
----
-apiVersion: kustomize.config.k8s.io/v1beta1
-kind: Kustomization
-namePrefix: habana-1-10-0-ubi8-python-3-8-
-commonLabels:
- app: habana-1-10-0-ubi8-python-3-8
-resources:
- - service.yaml
- - statefulset.yaml
-images:
- - name: quay.io/opendatahub/workbench-images
- newName: quay.io/opendatahub/workbench-images
- newTag: habana-1.10.0-ubi8-python-3.8-2023a_20230925
diff --git a/habana/1.10.0/ubi8-python-3.8/kustomize/base/service.yaml b/habana/1.10.0/ubi8-python-3.8/kustomize/base/service.yaml
deleted file mode 100644
index d6f7128e8..000000000
--- a/habana/1.10.0/ubi8-python-3.8/kustomize/base/service.yaml
+++ /dev/null
@@ -1,15 +0,0 @@
----
-apiVersion: v1
-kind: Service
-metadata:
- name: notebook
- labels:
- app: notebook
-spec:
- type: ClusterIP
- ports:
- - port: 8888
- protocol: TCP
- targetPort: notebook-port
- selector:
- app: notebook
diff --git a/habana/1.10.0/ubi8-python-3.8/kustomize/base/statefulset.yaml b/habana/1.10.0/ubi8-python-3.8/kustomize/base/statefulset.yaml
deleted file mode 100644
index 821b88122..000000000
--- a/habana/1.10.0/ubi8-python-3.8/kustomize/base/statefulset.yaml
+++ /dev/null
@@ -1,58 +0,0 @@
----
-apiVersion: apps/v1
-kind: StatefulSet
-metadata:
- name: notebook
- annotations:
- opendatahub.io/username: jovyan
- labels:
- opendatahub.io/user: jovyan
-spec:
- replicas: 1
- selector: {}
- serviceName: notebook
- template:
- metadata:
- labels: {}
- spec:
- containers:
- - name: notebook
- image: quay.io/opendatahub/workbench-images:habana-jupyter-1.10.0-ubi8-python-3.8
- imagePullPolicy: Always
- workingDir: /opt/app-root/src
- env:
- - name: NOTEBOOK_ARGS
- value: |-
- --ServerApp.port=8888
- --ServerApp.token=''
- --ServerApp.password=''
- --ServerApp.base_url=/notebook/opendatahub/jovyan
- --ServerApp.quit_button=False
- --ServerApp.tornado_settings={"user":"jovyan","hub_host":"https://opendatahub.io","hub_prefix":"/notebookController/jovyan"}
- ports:
- - name: notebook-port
- protocol: TCP
- containerPort: 8888
- livenessProbe:
- tcpSocket:
- port: notebook-port
- initialDelaySeconds: 5
- periodSeconds: 5
- successThreshold: 1
- failureThreshold: 3
- readinessProbe:
- httpGet:
- path: /notebook/opendatahub/jovyan/api
- port: notebook-port
- scheme: HTTP
- initialDelaySeconds: 10
- periodSeconds: 5
- successThreshold: 1
- failureThreshold: 3
- resources:
- limits:
- cpu: 500m
- memory: 2Gi
- requests:
- cpu: 500m
- memory: 2Gi
diff --git a/habana/1.13.0/ubi8-python-3.8/Dockerfile b/habana/1.13.0/ubi8-python-3.8/Dockerfile
deleted file mode 100644
index b8375230e..000000000
--- a/habana/1.13.0/ubi8-python-3.8/Dockerfile
+++ /dev/null
@@ -1,167 +0,0 @@
-# Copyright (c) 2022 Habana Labs, Ltd.
-#
-# SPDX-License-Identifier: Apache-2.0
-#
-# HabanaLabs Dockerfile base installer layer for RedHat 8.6
-# Reference: https://github.com/HabanaAI/Setup_and_Install/blob/1.13.0/dockerfiles/base/Dockerfile.rhel8.6
-ARG BASE_IMAGE
-FROM ${BASE_IMAGE}
-
-ARG ARTIFACTORY_URL="vault.habana.ai"
-ARG VERSION="1.13.0"
-ARG REVISION="463"
-ARG PT_VERSION="2.1.0"
-
-USER root
-
-RUN dnf install -y https://dl.fedoraproject.org/pub/epel/epel-release-latest-8.noarch.rpm && \
- dnf clean all && rm -rf /var/cache/yum
-
-RUN echo "[appstream]" > /etc/yum.repos.d/CentOS-Linux-AppStream.repo && \
- echo "name=CentOS Linux 8 - AppStream" >> /etc/yum.repos.d/CentOS-Linux-AppStream.repo && \
- echo "baseurl=https://vault.centos.org/\$releasever-stream/AppStream/\$basearch/os/" >> /etc/yum.repos.d/CentOS-Linux-AppStream.repo && \
- echo "gpgcheck=0" >> /etc/yum.repos.d/CentOS-Linux-AppStream.repo
-
-
-RUN echo "[BaseOS]" > /etc/yum.repos.d/CentOS-Linux-BaseOS.repo && \
- echo "name=CentOS Linux 8 - BaseOS" >> /etc/yum.repos.d/CentOS-Linux-BaseOS.repo && \
- echo "baseurl=https://vault.centos.org/\$releasever-stream/BaseOS/\$basearch/os/" >> /etc/yum.repos.d/CentOS-Linux-BaseOS.repo && \
- echo "gpgcheck=0" >> /etc/yum.repos.d/CentOS-Linux-BaseOS.repo
-
-RUN dnf install -y \
- clang \
- cmake3 \
- cpp \
- gcc \
- gcc-c++ \
- glibc \
- glibc-headers \
- glibc-devel \
- jemalloc \
- libarchive \
- libksba \
- unzip \
- llvm \
- lsof \
- python38-devel \
- openssh-clients \
- libjpeg-devel \
- openssh-server \
- redhat-lsb-core \
- wget \
- git \
- mesa-libGL \
- python3-dnf-plugin-versionlock && \
- # update pkgs (except OS version) for resolving potentials CVEs
- dnf versionlock add redhat-release* && \
- dnf update -y && \
- dnf clean all && rm -rf /var/cache/yum
-
-ENV LD_LIBRARY_PATH=/usr/lib/habanalabs:$LD_LIBRARY_PATH
-ENV RDMAV_FORK_SAFE=1
-
-RUN echo "[habanalabs]" > /etc/yum.repos.d/habanalabs.repo && \
- echo "name=Habana RH8 Linux repo" >> /etc/yum.repos.d/habanalabs.repo && \
- echo "baseurl=https://${ARTIFACTORY_URL}/artifactory/rhel/8/8.6" >> /etc/yum.repos.d/habanalabs.repo && \
- echo "gpgkey=https://${ARTIFACTORY_URL}/artifactory/rhel/8/8.6/repodata/repomd.xml.key" >> /etc/yum.repos.d/habanalabs.repo
-
-RUN echo "[powertools]" > /etc/yum.repos.d/powertools.repo && \
- echo "name=powertools" >> /etc/yum.repos.d/powertools.repo && \
- echo "baseurl=https://vault.centos.org/\$releasever-stream/PowerTools/\$basearch/os/" >> /etc/yum.repos.d/powertools.repo && \
- echo "gpgcheck=0" >> /etc/yum.repos.d/powertools.repo
-
-RUN dnf install -y habanalabs-rdma-core-"$VERSION"-"$REVISION".el8 \
- habanalabs-thunk-"$VERSION"-"$REVISION".el8 \
- habanalabs-firmware-tools-"$VERSION"-"$REVISION".el8 \
- habanalabs-graph-"$VERSION"-"$REVISION".el8 && \
- rm -f /etc/yum.repos.d/habanalabs.repo && rm -rf /tmp/* && \
- dnf clean all && rm -rf /var/cache/yum
-
-RUN rpm -V habanalabs-rdma-core && rpm -V habanalabs-thunk && rpm -V habanalabs-firmware-tools && rpm -V habanalabs-graph
-
-# There is no need to store pip installation files inside docker image
-ENV PIP_NO_CACHE_DIR=on
-ENV PIP_DISABLE_PIP_VERSION_CHECK=1
-ENV RDMA_CORE_ROOT=/opt/habanalabs/rdma-core/src
-ENV RDMA_CORE_LIB=${RDMA_CORE_ROOT}/build/lib
-
-# Install python packages
-# RUN python3.8 -m pip install hpu_media_loader=="${VERSION}"."${REVISION}"
-# Install Python packages and Jupyterlab extensions from Pipfile.lock
-COPY Pipfile.lock ./
-
-RUN echo "Installing softwares and packages" && micropipenv install && rm -f ./Pipfile.lock
-
-RUN echo "export LANG=en_US.UTF-8" >> /root/.bashrc
-RUN export LANG=en_US.UTF-8
-ENV GC_KERNEL_PATH=/usr/lib/habanalabs/libtpc_kernels.so
-ENV HABANA_LOGS=/var/log/habana_logs/
-ENV HABANA_SCAL_BIN_PATH=/opt/habanalabs/engines_fw
-ENV HABANA_PLUGINS_LIB_PATH=/opt/habanalabs/habana_plugins
-
-## Install habana tensorflow
-# Reference: https://github.com/HabanaAI/Setup_and_Install/blob/1.13.0/dockerfiles/tensorflow/Dockerfile.rhel8.6
-# For AML/CentOS/RHEL OS'es TFIO_DATAPATH have to be specified to import tensorflow_io lib correctly
-ENV TFIO_DATAPATH=/opt/app-root/src/python3.8/site-packages/
-
-# For AML/CentOS/RHEL ca-cert file is expected exactly under /etc/ssl/certs/ca-certificates.crt
-# otherwise curl will fail during access to S3 AWS storage
-RUN ln -s /etc/ssl/certs/ca-bundle.crt /etc/ssl/certs/ca-certificates.crt
-
-## Install habana pytorch
-# Reference: https://github.com/HabanaAI/Setup_and_Install/blob/1.13.0/dockerfiles/pytorch/Dockerfile.rhel8.6
-ENV LANG=en_US.UTF-8
-ENV PYTHONPATH=/root:/usr/lib/habanalabs/
-
-RUN dnf install -y \
- curl \
- cairo-devel \
- numactl-devel \
- iproute \
- which \
- zlib-devel \
- lapack-devel \
- openblas-devel \
- numactl \
- gperftools-devel && \
- dnf clean all && rm -rf /var/cache/yum
-
-RUN wget --no-verbose https://"${ARTIFACTORY_URL}"/artifactory/gaudi-pt-modules/"${VERSION}"/"${REVISION}"\
-/pytorch/rhel86/pytorch_modules-v"${PT_VERSION}"_"${VERSION}"_"${REVISION}".tgz && \
- mkdir /root/habanalabs /root/habanalabs/pytorch_temp && \
- tar -xf pytorch_modules-v"${PT_VERSION}"_"${VERSION}"_"${REVISION}".tgz -C /root/habanalabs/pytorch_temp/. && \
- pip3 install /root/habanalabs/pytorch_temp/*.whl && \
- pip3 install $(grep "lightning" /root/habanalabs/pytorch_temp/requirements-pytorch.txt) && \
- pip3 install tensorboard~=2.12.2 protobuf==3.20.3 && \
- pip3 uninstall -y pillow && \
- pip3 uninstall -y pillow-simd && \
- pip3 install pillow-simd==7.0.0.post3 && \
- rm -rf /root/habanalabs/pytorch_temp/ && \
- rm -rf pytorch_modules-v"${PT_VERSION}"_"${VERSION}"_"${REVISION}".tgz &&\
- echo "source /etc/profile.d/habanalabs.sh" >> ~/.bashrc
-
-ENV LD_PRELOAD=/lib64/libtcmalloc.so.4
-ENV TCMALLOC_LARGE_ALLOC_REPORT_THRESHOLD=7516192768
-
-RUN dnf clean all && rm -rf /var/cache/dnf && rm -rf /tmp/*
-
-## Label the image with details required by ODH
-LABEL name="odh-notebook-habana-jupyter-1.13.0-ubi8-python-3.8" \
- summary="Jupyter HabanaAI 1.13.0 notebook image for ODH notebooks" \
- description="Jupyter HabanaAI 1.13.0 notebook image with base Python 3.8 builder image based on ubi8 for ODH notebooks" \
- io.k8s.display-name="Jupyter HabanaAI 1.13.0 notebook image for ODH notebooks" \
- io.k8s.description="Jupyter HabanaAI 1.13.0 notebook image with base Python 3.8 builder image based on ubi8 for ODH notebooks" \
- authoritative-source-url="https://github.com/opendatahub-io/notebooks" \
- io.openshift.build.commit.ref="main" \
- io.openshift.build.source-location="https://github.com/opendatahub-io/notebooks/tree/main/habana/1.13.0/ubi8-python-3.8" \
- io.openshift.build.image="quay.io/opendatahub/workbench-images:habana-jupyter-1.13.0-ubi8-python-3.8"
-
-# Replace Notebook's launcher, "(ipykernel)" with Python's version 3.x
-RUN sed -i -e "s/Python.*/$(python --version| cut -d '.' -f-2)\",/" /opt/app-root/share/jupyter/kernels/python3/kernel.json && \
- # Fix permissions to support pip in Openshift environments \
- chmod -R g+w /opt/app-root/lib/python3.8/site-packages && \
- fix-permissions /opt/app-root -P
-
-USER 1001
-
-WORKDIR /opt/app-root/src
\ No newline at end of file
diff --git a/habana/1.13.0/ubi8-python-3.8/Pipfile b/habana/1.13.0/ubi8-python-3.8/Pipfile
deleted file mode 100644
index 9b974aeeb..000000000
--- a/habana/1.13.0/ubi8-python-3.8/Pipfile
+++ /dev/null
@@ -1,67 +0,0 @@
-[[source]]
-url = "https://pypi.org/simple"
-verify_ssl = true
-name = "pypi"
-
-[dev-packages]
-
-[packages]
-# Habana requirements
-habana_media_loader = "==1.13.0.463"
-# TensorFlow and useful extensions
-habana-tensorflow = "==1.13.0.463"
-tensorflow-cpu = "==2.12.1"
-tensorflow-io = "==0.32.0"
-tensorboard = "~=2.12.2"
-tf2onnx = "~= 1.13.0"
-# Pytorch and useful extension
-habana-pyhlml = "==1.13.0.463"
-# Below pkgs are required for pytorch-fork
-cffi = "==1.15.1"
-typing-extensions = ">=4.5.0"
-numpy = "==1.23.5"
-ninja = ">=1.11.1"
-pyyaml = "==6.0"
-pybind11 = "==2.10.4"
-mkl = "==2023.1"
-mkl-include = "==2023.1"
-# Parent image requirements to maintain cohesion
-boto3 = "~=1.34.50"
-kafka-python = "~=2.0.2"
-matplotlib = "~=3.7.5"
-pandas = "~=2.0.3"
-plotly = "~=5.20.0"
-scikit-learn = "~=1.3.2"
-scipy = "~=1.10.1"
-skl2onnx = "~=1.16.0"
-onnxconverter-common = "~=1.13.0" # Required for skl2onnx, as upgraded version is not compatible with protobuf
-codeflare-sdk = "~=0.16.3"
-# DB connectors
-pymongo = "~=4.6.2"
-psycopg = "~=3.1.18"
-pyodbc = "~=5.1.0"
-mysql-connector-python = "~=8.3.0"
-# JupyterLab packages
-odh-elyra = "~=3.16.7"
-jupyterlab = "~=3.6.7" # Wait on upgrade till plugins are ready
-jupyter-bokeh = "~=3.0.7" # Upgrade would bring in jupyterlab 4
-jupyter-server = "~=2.13.0"
-jupyter-server-proxy = "~=4.0.0" # Upgrade would bring in jupyterlab 4
-jupyter-server-terminals = "~=0.5.3"
-jupyterlab-git = "~=0.44.0"
-jupyterlab-lsp = "~=4.2.0"
-jupyterlab-widgets = "~=3.0.10"
-jupyter-resource-usage = "~=0.7.2"
-nbdime = "~=3.2.1"
-nbgitpuller = "~=1.2.0"
-# pycodestyle is dependency of below packages
-# and to achieve compatible of pycodestyle with python-lsp-server[all]
-# pinned the below packages
-autopep8 = "~=2.0.4"
-flake8 = "~=7.0.0"
-# Base packages
-wheel = "~=0.43.0"
-setuptools = "~=69.2.0"
-
-[requires]
-python_version = "3.8"
diff --git a/habana/1.13.0/ubi8-python-3.8/Pipfile.lock b/habana/1.13.0/ubi8-python-3.8/Pipfile.lock
deleted file mode 100644
index a4e493ef4..000000000
--- a/habana/1.13.0/ubi8-python-3.8/Pipfile.lock
+++ /dev/null
@@ -1,4515 +0,0 @@
-{
- "_meta": {
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- "requires": {
- "python_version": "3.8"
- },
- "sources": [
- {
- "name": "pypi",
- "url": "https://pypi.org/simple",
- "verify_ssl": true
- }
- ]
- },
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- "sha256:db8e58b9d79200c76956cefd14d5c90af54416ff5353c5bfd7cbe58818e26ef0",
- "sha256:ddb2a5c08a4eaaba605340fdee8fc08e406c56617566d9643ad8bf6852778fc7",
- "sha256:e0381b4ce23ff92f8170080c97678040fc5b08da85e9e292292aba67fdac6c34",
- "sha256:e23a6d84d9d1738dbc6e38167776107e63307dfc8ad108e580548d1f2c587f42",
- "sha256:e516dc8baf7b380e6c1c26792610230f37147bb754d6426462ab115a02944385",
- "sha256:ea65804b5dc88dacd4a40279af0cdadcfe74b3e5b4c897aa0d81cf86927fee78",
- "sha256:ec61d826d80fc293ed46c9dd26995921e3a82146feacd952ef0757236fc137be",
- "sha256:ee04010f26d5102399bd17f8df8bc38dc7ccd7701dc77f4a68c5b8d733406958",
- "sha256:f3bc6af6e2b8f92eced34ef6a96ffb248e863af20ef4fde9448cc8c9b858b749",
- "sha256:f7d6b36dd2e029b6bcb8a13cf19664c7b8e19ab3a58e0fefbb5b8461447ed5ec"
- ],
- "markers": "python_version >= '3.7'",
- "version": "==1.9.4"
- },
- "yaspin": {
- "hashes": [
- "sha256:58aaa19330b9eacf86241043342b4040ded75f170240276d963c570263cd8f53",
- "sha256:f96ab3b5c42e1eaa6af3193508082309d9dc43f6963339f9aa606003ee8d7e63"
- ],
- "markers": "python_full_version >= '3.8.1' and python_full_version < '4.0.0'",
- "version": "==2.5.0"
- },
- "ypy-websocket": {
- "hashes": [
- "sha256:43a001473f5c8abcf182f603049cf305cbc855ad8deaa9dfa0f3b5a7cea9d0ff",
- "sha256:b1ba0dfcc9762f0ca168d2378062d3ca1299d39076b0f145d961359121042be5"
- ],
- "markers": "python_version >= '3.7'",
- "version": "==0.8.4"
- },
- "zipp": {
- "hashes": [
- "sha256:bf1dcf6450f873a13e952a29504887c89e6de7506209e5b1bcc3460135d4de19",
- "sha256:f091755f667055f2d02b32c53771a7a6c8b47e1fdbc4b72a8b9072b3eef8015c"
- ],
- "markers": "python_version < '3.10'",
- "version": "==3.19.2"
- }
- },
- "develop": {}
-}
diff --git a/habana/1.13.0/ubi8-python-3.8/README.md b/habana/1.13.0/ubi8-python-3.8/README.md
deleted file mode 100644
index 8adc1c0f1..000000000
--- a/habana/1.13.0/ubi8-python-3.8/README.md
+++ /dev/null
@@ -1,26 +0,0 @@
-# Habana Notebook Image
-This directory contains the Dockerfile to build a Notebook image compatible with 1.13.0 Habana Version.
-
-Currently supporting the support matrix:
-https://docs.habana.ai/en/latest/Support_Matrix/Support_Matrix.html
-
-| Firmware | version |
-| ------------------------ | ---------------- |
-| First-gen Gaudi Firmware | 1.2.3 |
-| Gaudi2 Firmware | 1.14.0-fw-48.0.1 |
-
-
-| Python-package | version |
-| -------------- | ------- |
-| torch | 2.1.0 |
-| tensorflow | 2.13.1 |
-| pandas | 1.5.3 |
-| numpy | 1.23.5 |
-| scipy | 1.10.1 |
-
-Reference:
-https://github.com/HabanaAI/Setup_and_Install/tree/1.13.0
-
-
-For further documentation related to HabanaAI, please refer:
-https://docs.habana.ai/en/v1.13.0/Gaudi_Overview/index.html
\ No newline at end of file
diff --git a/habana/1.13.0/ubi8-python-3.8/kustomize/base/kustomization.yaml b/habana/1.13.0/ubi8-python-3.8/kustomize/base/kustomization.yaml
deleted file mode 100644
index fc1d999c8..000000000
--- a/habana/1.13.0/ubi8-python-3.8/kustomize/base/kustomization.yaml
+++ /dev/null
@@ -1,13 +0,0 @@
----
-apiVersion: kustomize.config.k8s.io/v1beta1
-kind: Kustomization
-namePrefix: habana-1-13-0-ubi8-python-3-8-
-commonLabels:
- app: habana-1-13-0-ubi8-python-3-8
-resources:
- - service.yaml
- - statefulset.yaml
-images:
- - name: quay.io/opendatahub/workbench-images
- newName: quay.io/opendatahub/workbench-images
- newTag: habana-1.13.0-ubi8-python-3.8-2023a_20230925
diff --git a/habana/1.13.0/ubi8-python-3.8/kustomize/base/service.yaml b/habana/1.13.0/ubi8-python-3.8/kustomize/base/service.yaml
deleted file mode 100644
index d6f7128e8..000000000
--- a/habana/1.13.0/ubi8-python-3.8/kustomize/base/service.yaml
+++ /dev/null
@@ -1,15 +0,0 @@
----
-apiVersion: v1
-kind: Service
-metadata:
- name: notebook
- labels:
- app: notebook
-spec:
- type: ClusterIP
- ports:
- - port: 8888
- protocol: TCP
- targetPort: notebook-port
- selector:
- app: notebook
diff --git a/habana/1.13.0/ubi8-python-3.8/kustomize/base/statefulset.yaml b/habana/1.13.0/ubi8-python-3.8/kustomize/base/statefulset.yaml
deleted file mode 100644
index 65a7eaf6c..000000000
--- a/habana/1.13.0/ubi8-python-3.8/kustomize/base/statefulset.yaml
+++ /dev/null
@@ -1,58 +0,0 @@
----
-apiVersion: apps/v1
-kind: StatefulSet
-metadata:
- name: notebook
- annotations:
- opendatahub.io/username: jovyan
- labels:
- opendatahub.io/user: jovyan
-spec:
- replicas: 1
- selector: {}
- serviceName: notebook
- template:
- metadata:
- labels: {}
- spec:
- containers:
- - name: notebook
- image: quay.io/opendatahub/workbench-images:habana-jupyter-1.13.0-ubi8-python-3.8
- imagePullPolicy: Always
- workingDir: /opt/app-root/src
- env:
- - name: NOTEBOOK_ARGS
- value: |-
- --ServerApp.port=8888
- --ServerApp.token=''
- --ServerApp.password=''
- --ServerApp.base_url=/notebook/opendatahub/jovyan
- --ServerApp.quit_button=False
- --ServerApp.tornado_settings={"user":"jovyan","hub_host":"https://opendatahub.io","hub_prefix":"/notebookController/jovyan"}
- ports:
- - name: notebook-port
- protocol: TCP
- containerPort: 8888
- livenessProbe:
- tcpSocket:
- port: notebook-port
- initialDelaySeconds: 5
- periodSeconds: 5
- successThreshold: 1
- failureThreshold: 3
- readinessProbe:
- httpGet:
- path: /notebook/opendatahub/jovyan/api
- port: notebook-port
- scheme: HTTP
- initialDelaySeconds: 10
- periodSeconds: 5
- successThreshold: 1
- failureThreshold: 3
- resources:
- limits:
- cpu: 500m
- memory: 2Gi
- requests:
- cpu: 500m
- memory: 2Gi
diff --git a/jupyter/datascience/anaconda-python-3.8/Dockerfile b/jupyter/datascience/anaconda-python-3.8/Dockerfile
deleted file mode 100644
index b1a57fa6e..000000000
--- a/jupyter/datascience/anaconda-python-3.8/Dockerfile
+++ /dev/null
@@ -1,58 +0,0 @@
-ARG BASE_IMAGE
-FROM ${BASE_IMAGE}
-
-LABEL name="jupyter-datascience-anaconda-python-3.8:latest" \
- summary="Minimal Jupyter Notebook Source-to-Image for Python 3.8 applications. Uses Anaconda CE instead of pip." \
- description="Notebook image based on Anaconda CE Python.These images can be used in OpenDatahub JupterHub." \
- io.k8s.description="Notebook image based on Anaconda CE Python.These images can be used in OpenDatahub JupterHub." \
- io.k8s.display-name="Anaconda s2i-minimal-notebook, python38" \
- io.openshift.expose-services="8888:http" \
- io.openshift.tags="python,python38,python-38,anaconda-python38" \
- authoritative-source-url="https://quay.io//opendatahub/workbench-images:jupyter-datascience-anaconda-python-3.8" \
- io.openshift.s2i.build.commit.ref="main" \
- io.openshift.s2i.build.source-location="https://github.com/opendatahub-io/notebooks/jupyter/datascience/anaconda-python-3.8" \
- io.openshift.s2i.build.image="quay.io/repository/opendatahub/workbench-images:jupyter-datascience-anaconda-python-3.8"
-
-ENV JUPYTER_ENABLE_LAB="1"
-USER root
-
-# Use the NodeJS from Anaconda > 12.0
-RUN yum remove -y nodejs
-
-WORKDIR /opt/app-root/bin
-
-COPY utils utils/
-
-# Install Python packages and Jupyterlab extensions from conda environment file
-COPY environment.yml start-notebook.sh ./
-# Copy Elyra setup to utils so that it's sourced at startup
-#COPY jupyter_elyra_config.py setup-elyra.sh pipeline-flow.svg ./utils/
-
-RUN echo "Installing softwares and packages" && \
- /opt/anaconda3/bin/conda env update -p "${APP_ROOT}" --file environment.yml && \
- rm -f ./environment.yml && \
- # setup path for runtime configuration \
- mkdir /opt/app-root/runtimes && \
- # switch to Data Science Pipeline \
- # cp utils/pipeline-flow.svg /opt/app-root/lib/python3.8/site-packages/elyra/static/icons/kubeflow.svg && \
- # sed -i "s/Kubeflow Pipelines/Data Science/g" /opt/app-root/lib/python3.8/site-packages/elyra/pipeline/runtime_type.py && \
- # sed -i "s/Kubeflow Pipelines/Data Science Pipelines/g" /opt/app-root/lib/python3.8/site-packages/elyra/metadata/schemas/kfp.json && \
- # sed -i "s/\"default\": \"Argo\",/\"default\": \"Tekton\",/g" /opt/app-root/lib/python3.8/site-packages/elyra/metadata/schemas/kfp.json && \
- # Replace Notebook's launcher, "(ipykernel)" with Python's version 3.x.y \
- sed -i -e "s/Python.*/$(python --version)\",/" /opt/app-root/share/jupyter/kernels/python3/kernel.json && \
- # Remove default Elyra runtime-images \
- # rm /opt/app-root/share/jupyter/metadata/runtime-images/*.json && \
- # Fix permissions to support pip in Openshift environments \
- chmod -R g+w /opt/app-root/lib/python3.8/site-packages && \
- fix-permissions /opt/app-root -P
-
-# Copy Elyra runtime-images definitions and set the version
-# COPY runtime-images/ /opt/app-root/share/jupyter/metadata/runtime-images/
-
-USER root
-RUN mkdir /etc/conda
-COPY condarc /etc/conda/condarc
-
-USER 1001
-
-ENTRYPOINT ["start-notebook.sh"]
diff --git a/jupyter/datascience/anaconda-python-3.8/condarc b/jupyter/datascience/anaconda-python-3.8/condarc
deleted file mode 100644
index 8d78864d1..000000000
--- a/jupyter/datascience/anaconda-python-3.8/condarc
+++ /dev/null
@@ -1,5 +0,0 @@
-restore_free_channel: false
-default_channels:
- - https://repo.anaconda.cloud/repo/main
- - https://repo.anaconda.cloud/repo/msys2
- - https://repo.anaconda.cloud/repo/r
diff --git a/jupyter/datascience/anaconda-python-3.8/environment.in b/jupyter/datascience/anaconda-python-3.8/environment.in
deleted file mode 100644
index 6c75a77bb..000000000
--- a/jupyter/datascience/anaconda-python-3.8/environment.in
+++ /dev/null
@@ -1,25 +0,0 @@
-boto3~=1.34
-kafka-python~=2.0
-matplotlib~=3.7
-numpy~=1.24
-pandas~=2.0
-plotly~=5.20
-scikit-learn~=1.3
-scipy~=1.10
-skl2onnx~=1.16
-onnxconverter-common~=1.13
-pymongo~=4.6
-psycopg~=3.1
-pyodbc~=5.1
-mysql-connector-python~=8.3
-jupyterlab~=3.6
-jupyter_bokeh~=3.0
-jupyter_server~=2.13
-jupyter-server-proxy~=4.0
-jupyter_server_terminals~=0.5
-jupyterlab-git~=0.44
-jupyterlab-lsp~=4.2
-jupyterlab_widgets~=3.0
-jupyter-resource-usage~=0.7
-nbdime~=3.2
-nbgitpuller~=1.2
\ No newline at end of file
diff --git a/jupyter/datascience/anaconda-python-3.8/environment.yml b/jupyter/datascience/anaconda-python-3.8/environment.yml
deleted file mode 100644
index 06a650fab..000000000
--- a/jupyter/datascience/anaconda-python-3.8/environment.yml
+++ /dev/null
@@ -1,266 +0,0 @@
----
-name: /opt/app-root
-channels:
- - plotly
- - conda-forge
- - defaults
-dependencies:
- - _libgcc_mutex=0.1=main
- - _openmp_mutex=5.1=1_gnu
- - aiofiles=22.1.0=pyhd8ed1ab_0
- - aiohttp=3.7.4.post0=py38h497a2fe_1
- - aiosqlite=0.19.0=pyhd8ed1ab_0
- - anyio=3.7.1=pyhd8ed1ab_0
- - argon2-cffi=23.1.0=pyhd8ed1ab_0
- - argon2-cffi-bindings=21.2.0=py38h0a891b7_2
- - arrow=1.3.0=pyhd8ed1ab_0
- - asttokens=2.4.1=pyhd8ed1ab_0
- - async-timeout=3.0.1=py_1000
- - attrs=23.2.0=pyh71513ae_0
- - babel=2.14.0=pyhd8ed1ab_0
- - backcall=0.2.0=pyh9f0ad1d_0
- - beautifulsoup4=4.12.3=pyha770c72_0
- - blas=1.0=mkl
- - bleach=6.1.0=pyhd8ed1ab_0
- - bokeh=3.1.1=pyhd8ed1ab_0
- - boto3=1.34.67=pyhd8ed1ab_0
- - botocore=1.34.67=pyge38_1234567_0
- - bottleneck=1.3.4=py38h71d37f0_1
- - brotli=1.0.9=h166bdaf_7
- - brotli-bin=1.0.9=h166bdaf_7
- - brotli-python=1.0.9=py38hfa26641_7
- - bzip2=1.0.8=h7f98852_4
- - ca-certificates=2024.3.11=h06a4308_0
- - cached-property=1.5.2=hd8ed1ab_1
- - cached_property=1.5.2=pyha770c72_1
- - certifi=2024.2.2=pyhd8ed1ab_0
- - cffi=1.15.0=py38h3931269_0
- - chardet=4.0.0=py38h578d9bd_3
- - charset-normalizer=3.3.2=pyhd8ed1ab_0
- - colorama=0.4.6=pyhd8ed1ab_0
- - comm=0.2.2=pyhd8ed1ab_0
- - contourpy=1.0.2=py38h43d8883_2
- - cycler=0.12.1=pyhd8ed1ab_0
- - dbus=1.13.18=hb2f20db_0
- - debugpy=1.6.7=py38h6a678d5_0
- - decorator=5.1.1=pyhd8ed1ab_0
- - defusedxml=0.7.1=pyhd8ed1ab_0
- - entrypoints=0.4=pyhd8ed1ab_0
- - exceptiongroup=1.2.0=pyhd8ed1ab_2
- - executing=2.0.1=pyhd8ed1ab_0
- - expat=2.5.0=h6a678d5_0
- - fontconfig=2.14.1=h4c34cd2_2
- - fonttools=4.33.3=py38h0a891b7_0
- - fqdn=1.5.1=pyhd8ed1ab_0
- - freetype=2.10.4=h0708190_1
- - gitdb=4.0.11=pyhd8ed1ab_0
- - gitpython=3.1.42=pyhd8ed1ab_0
- - glib=2.78.4=h6a678d5_0
- - glib-tools=2.78.4=h6a678d5_0
- - gst-plugins-base=1.14.1=h6a678d5_1
- - gstreamer=1.14.1=h5eee18b_1
- - icu=73.1=h6a678d5_0
- - idna=3.6=pyhd8ed1ab_0
- - importlib-metadata=7.1.0=pyha770c72_0
- - importlib_metadata=7.1.0=hd8ed1ab_0
- - importlib_resources=6.4.0=pyhd8ed1ab_0
- - intel-openmp=2023.1.0=hdb19cb5_46306
- - ipykernel=6.26.0=pyhf8b6a83_0
- - ipython=8.12.2=pyh41d4057_0
- - ipython_genutils=0.2.0=py_1
- - ipywidgets=8.1.2=pyhd8ed1ab_0
- - isoduration=20.11.0=pyhd8ed1ab_0
- - jbig=2.1=h7f98852_2003
- - jedi=0.19.1=pyhd8ed1ab_0
- - jinja2=3.1.3=pyhd8ed1ab_0
- - jmespath=1.0.1=pyhd8ed1ab_0
- - joblib=1.3.2=pyhd8ed1ab_0
- - jpeg=9e=h166bdaf_1
- - json5=0.9.24=pyhd8ed1ab_0
- - jsonpointer=2.4=py38h578d9bd_3
- - jsonschema=4.21.1=pyhd8ed1ab_0
- - jsonschema-specifications=2023.12.1=pyhd8ed1ab_0
- - jsonschema-with-format-nongpl=4.21.1=pyhd8ed1ab_0
- - jupyter-lsp=2.2.4=pyhd8ed1ab_0
- - jupyter-resource-usage=0.7.1=pyhd8ed1ab_0
- - jupyter-server-mathjax=0.2.6=pyh5bfe37b_1
- - jupyter-server-proxy=4.1.2=pyhd8ed1ab_0
- - jupyter_bokeh=3.0.7=pyhd8ed1ab_0
- - jupyter_client=8.6.1=pyhd8ed1ab_0
- - jupyter_core=5.7.2=py38h578d9bd_0
- - jupyter_events=0.10.0=pyhd8ed1ab_0
- - jupyter_server=2.13.0=pyhd8ed1ab_0
- - jupyter_server_fileid=0.9.1=pyhd8ed1ab_0
- - jupyter_server_terminals=0.5.3=pyhd8ed1ab_0
- - jupyter_server_ydoc=0.8.0=pyhd8ed1ab_0
- - jupyter_ydoc=0.2.4=pyhd8ed1ab_0
- - jupyterlab=3.6.7=pyhd8ed1ab_0
- - jupyterlab-git=0.44.0=pyhd8ed1ab_0
- - jupyterlab-lsp=4.3.0=pyhd8ed1ab_0
- - jupyterlab_pygments=0.3.0=pyhd8ed1ab_0
- - jupyterlab_server=2.25.4=pyhd8ed1ab_0
- - jupyterlab_widgets=3.0.10=pyhd8ed1ab_0
- - kafka-python=2.0.2=pyh9f0ad1d_0
- - kiwisolver=1.4.2=py38h43d8883_1
- - krb5=1.20.1=h143b758_1
- - lcms2=2.12=hddcbb42_0
- - ld_impl_linux-64=2.38=h1181459_1
- - lerc=2.2.1=h9c3ff4c_0
- - libblas=3.9.0=1_h86c2bf4_netlib
- - libbrotlicommon=1.0.9=h166bdaf_7
- - libbrotlidec=1.0.9=h166bdaf_7
- - libbrotlienc=1.0.9=h166bdaf_7
- - libcblas=3.9.0=5_h92ddd45_netlib
- - libclang=14.0.6=default_hc6dbbc7_1
- - libclang13=14.0.6=default_he11475f_1
- - libcups=2.4.2=h2d74bed_1
- - libdeflate=1.7=h7f98852_5
- - libedit=3.1.20230828=h5eee18b_0
- - libffi=3.4.4=h6a678d5_0
- - libgcc-ng=11.2.0=h1234567_1
- - libgfortran-ng=13.2.0=h69a702a_0
- - libgfortran5=13.2.0=ha4646dd_0
- - libglib=2.78.4=hdc74915_0
- - libgomp=11.2.0=h1234567_1
- - libiconv=1.17=h166bdaf_0
- - liblapack=3.9.0=5_h92ddd45_netlib
- - libllvm14=14.0.6=hdb19cb5_3
- - libopenblas=0.3.21=h043d6bf_0
- - libpng=1.6.39=h5eee18b_0
- - libpq=12.17=hdbd6064_0
- - libprotobuf=3.20.1=h4ff587b_0
- - libsodium=1.0.18=h36c2ea0_1
- - libstdcxx-ng=11.2.0=h1234567_1
- - libtiff=4.3.0=hf544144_1
- - libuuid=1.41.5=h5eee18b_0
- - libuv=1.44.2=h5eee18b_0
- - libwebp-base=1.2.2=h7f98852_1
- - libxcb=1.15=h7f8727e_0
- - libxkbcommon=1.0.3=he3ba5ed_0
- - libxml2=2.10.4=hf1b16e4_1
- - lz4-c=1.9.4=h6a678d5_0
- - markupsafe=2.1.1=py38h0a891b7_1
- - matplotlib=3.7.2=py38h578d9bd_0
- - matplotlib-base=3.7.2=py38h1128e8f_0
- - matplotlib-inline=0.1.6=pyhd8ed1ab_0
- - mistune=3.0.2=pyhd8ed1ab_0
- - mkl=2023.1.0=h213fc3f_46344
- - mkl-service=2.4.0=py38h5eee18b_1
- - mkl_fft=1.3.8=py38h5eee18b_0
- - mkl_random=1.2.4=py38hdb19cb5_0
- - multidict=6.0.2=py38h0a891b7_1
- - munkres=1.1.4=pyh9f0ad1d_0
- - mysql=5.7.20=hf484d3e_1001
- - nbclassic=1.0.0=pyhb4ecaf3_1
- - nbclient=0.10.0=pyhd8ed1ab_0
- - nbconvert=7.16.2=pyhd8ed1ab_0
- - nbconvert-core=7.16.2=pyhd8ed1ab_0
- - nbconvert-pandoc=7.16.2=pyhd8ed1ab_0
- - nbdime=3.2.1=pyhd8ed1ab_0
- - nbformat=5.10.3=pyhd8ed1ab_0
- - nbgitpuller=1.2.0=pyhd8ed1ab_0
- - ncurses=6.4=h6a678d5_0
- - nest-asyncio=1.6.0=pyhd8ed1ab_0
- - nodejs=18.18.2=h2d74bed_0
- - notebook=6.5.4=pyha770c72_0
- - notebook-shim=0.2.4=pyhd8ed1ab_0
- - numexpr=2.7.3=py38h43a58ef_1
- - numpy=1.24.3=py38hf6e8229_1
- - numpy-base=1.24.3=py38h060ed82_1
- - olefile=0.47=pyhd8ed1ab_0
- - onnx=1.11.0=py38h8d49f1e_2
- - onnxconverter-common=1.13.0=pyhd8ed1ab_0
- - openjpeg=2.4.0=hb52868f_1
- - openssl=3.0.13=h7f8727e_0
- - overrides=7.7.0=pyhd8ed1ab_0
- - packaging=24.0=pyhd8ed1ab_0
- - pandas=2.0.3=py38h1128e8f_0
- - pandoc=3.1.12.3=ha770c72_0
- - pandocfilters=1.5.0=pyhd8ed1ab_0
- - parso=0.8.3=pyhd8ed1ab_0
- - pcre2=10.42=hebb0a14_0
- - pexpect=4.9.0=pyhd8ed1ab_0
- - pickleshare=0.7.5=py_1003
- - pillow=8.3.2=py38h8e6f84c_0
- - pip=23.3.1=py38h06a4308_0
- - pkgutil-resolve-name=1.3.10=pyhd8ed1ab_1
- - platformdirs=4.2.0=pyhd8ed1ab_0
- - plotly=5.20.0=py_0
- - pooch=1.8.1=pyhd8ed1ab_0
- - prometheus_client=0.20.0=pyhd8ed1ab_0
- - prompt-toolkit=3.0.42=pyha770c72_0
- - prompt_toolkit=3.0.42=hd8ed1ab_0
- - protobuf=3.20.1=py38hfa26641_0
- - psutil=5.9.1=py38h0a891b7_0
- - ptyprocess=0.7.0=pyhd3deb0d_0
- - pure_eval=0.2.2=pyhd8ed1ab_0
- - pycparser=2.21=pyhd8ed1ab_0
- - pygments=2.17.2=pyhd8ed1ab_0
- - pyparsing=3.0.9=pyhd8ed1ab_0
- - pyqt=5.15.4=py38hfa26641_0
- - pyqt5-sip=12.9.0=py38hfa26641_0
- - pysocks=1.7.1=pyha2e5f31_6
- - python=3.8.18=h955ad1f_0
- - python-dateutil=2.9.0=pyhd8ed1ab_0
- - python-fastjsonschema=2.19.1=pyhd8ed1ab_0
- - python-json-logger=2.0.7=pyhd8ed1ab_0
- - python-tzdata=2024.1=pyhd8ed1ab_0
- - python_abi=3.8=2_cp38
- - pytz=2024.1=pyhd8ed1ab_0
- - pyyaml=6.0=py38h0a891b7_4
- - pyzmq=25.1.0=py38h6a678d5_0
- - qt-main=5.15.2=h53bd1ea_10
- - readline=8.2=h5eee18b_0
- - referencing=0.34.0=pyhd8ed1ab_0
- - requests=2.31.0=pyhd8ed1ab_0
- - rfc3339-validator=0.1.4=pyhd8ed1ab_0
- - rfc3986-validator=0.1.1=pyh9f0ad1d_0
- - rpds-py=0.10.6=py38hb02cf49_0
- - s3transfer=0.10.1=pyhd8ed1ab_0
- - scikit-learn=1.3.0=py38h1128e8f_1
- - scipy=1.10.1=py38hf6e8229_1
- - send2trash=1.8.2=pyh41d4057_0
- - setuptools=68.2.2=py38h06a4308_0
- - simpervisor=1.0.0=pyhd8ed1ab_0
- - sip=6.5.1=py38h709712a_2
- - six=1.16.0=pyh6c4a22f_0
- - skl2onnx=1.16.0=pyhd8ed1ab_0
- - smmap=5.0.0=pyhd8ed1ab_0
- - sniffio=1.3.1=pyhd8ed1ab_0
- - soupsieve=2.5=pyhd8ed1ab_1
- - sqlite=3.41.2=h5eee18b_0
- - stack_data=0.6.2=pyhd8ed1ab_0
- - tbb=2021.5.0=h924138e_1
- - tenacity=8.2.3=pyhd8ed1ab_0
- - terminado=0.18.1=pyh0d859eb_0
- - threadpoolctl=3.4.0=pyhc1e730c_0
- - tinycss2=1.2.1=pyhd8ed1ab_0
- - tk=8.6.12=h1ccaba5_0
- - toml=0.10.2=pyhd8ed1ab_0
- - tomli=2.0.1=pyhd8ed1ab_0
- - tornado=6.3.3=py38h5eee18b_0
- - traitlets=5.9.0=pyhd8ed1ab_0
- - types-python-dateutil=2.9.0.20240316=pyhd8ed1ab_0
- - typing-extensions=4.10.0=hd8ed1ab_0
- - typing_extensions=4.10.0=pyha770c72_0
- - typing_utils=0.1.0=pyhd8ed1ab_0
- - unicodedata2=14.0.0=py38h0a891b7_1
- - uri-template=1.3.0=pyhd8ed1ab_0
- - urllib3=1.26.18=pyhd8ed1ab_0
- - wcwidth=0.2.13=pyhd8ed1ab_0
- - webcolors=1.13=pyhd8ed1ab_0
- - webencodings=0.5.1=pyhd8ed1ab_2
- - websocket-client=1.7.0=pyhd8ed1ab_0
- - wheel=0.41.2=py38h06a4308_0
- - widgetsnbextension=4.0.10=pyhd8ed1ab_0
- - xyzservices=2023.10.1=pyhd8ed1ab_0
- - xz=5.4.6=h5eee18b_0
- - y-py=0.5.9=py38h52d8a92_0
- - yaml=0.2.5=h7f98852_2
- - yarl=1.7.2=py38h0a891b7_2
- - ypy-websocket=0.8.2=pyhd8ed1ab_0
- - zeromq=4.3.4=h9c3ff4c_1
- - zipp=3.17.0=pyhd8ed1ab_0
- - zlib=1.2.13=h5eee18b_0
- - zstd=1.5.5=hc292b87_0
-prefix: /opt/app-root
diff --git a/jupyter/datascience/anaconda-python-3.8/jupyter_elyra_config.py b/jupyter/datascience/anaconda-python-3.8/jupyter_elyra_config.py
deleted file mode 100644
index caa1981d0..000000000
--- a/jupyter/datascience/anaconda-python-3.8/jupyter_elyra_config.py
+++ /dev/null
@@ -1,11 +0,0 @@
-# Configuration file for elyra.
-# Pre-generated via `jupyter elyra --generate-config`
-# Editted out the rest of the content, use the above command to get additional config sections.
-
-c = get_config() #noqa
-
-#------------------------------------------------------------------------------
-# PipelineProcessorRegistry(SingletonConfigurable) configuration
-#------------------------------------------------------------------------------
-
-c.PipelineProcessorRegistry.runtimes = ['kfp']
\ No newline at end of file
diff --git a/jupyter/datascience/anaconda-python-3.8/kustomize/base/kustomization.yaml b/jupyter/datascience/anaconda-python-3.8/kustomize/base/kustomization.yaml
deleted file mode 100644
index c36257c95..000000000
--- a/jupyter/datascience/anaconda-python-3.8/kustomize/base/kustomization.yaml
+++ /dev/null
@@ -1,13 +0,0 @@
----
-apiVersion: kustomize.config.k8s.io/v1beta1
-kind: Kustomization
-namePrefix: jupyter-datascience-anaconda-python-3-8-
-commonLabels:
- app: jupyter-datascience-anaconda-python-3-8
-resources:
- - service.yaml
- - statefulset.yaml
-images:
- - name: quay.io/opendatahub/workbench-images
- newName: quay.io/opendatahub/workbench-images
- newTag: jupyter-datascience-anaconda-python-3.8
diff --git a/jupyter/datascience/anaconda-python-3.8/kustomize/base/service.yaml b/jupyter/datascience/anaconda-python-3.8/kustomize/base/service.yaml
deleted file mode 100644
index d6f7128e8..000000000
--- a/jupyter/datascience/anaconda-python-3.8/kustomize/base/service.yaml
+++ /dev/null
@@ -1,15 +0,0 @@
----
-apiVersion: v1
-kind: Service
-metadata:
- name: notebook
- labels:
- app: notebook
-spec:
- type: ClusterIP
- ports:
- - port: 8888
- protocol: TCP
- targetPort: notebook-port
- selector:
- app: notebook
diff --git a/jupyter/datascience/anaconda-python-3.8/kustomize/base/statefulset.yaml b/jupyter/datascience/anaconda-python-3.8/kustomize/base/statefulset.yaml
deleted file mode 100644
index 3a54b2245..000000000
--- a/jupyter/datascience/anaconda-python-3.8/kustomize/base/statefulset.yaml
+++ /dev/null
@@ -1,58 +0,0 @@
----
-apiVersion: apps/v1
-kind: StatefulSet
-metadata:
- name: notebook
- annotations:
- opendatahub.io/username: jovyan
- labels:
- opendatahub.io/user: jovyan
-spec:
- replicas: 1
- selector: {}
- serviceName: notebook
- template:
- metadata:
- labels: {}
- spec:
- containers:
- - name: notebook
- image: quay.io/opendatahub/workbench-images:jupyter-datascience-anaconda-python-3.8
- imagePullPolicy: Always
- workingDir: /opt/app-root/src
- env:
- - name: NOTEBOOK_ARGS
- value: |-
- --ServerApp.port=8888
- --ServerApp.token=''
- --ServerApp.password=''
- --ServerApp.base_url=/notebook/opendatahub/jovyan
- --ServerApp.quit_button=False
- --ServerApp.tornado_settings={"user":"jovyan","hub_host":"https://opendatahub.io","hub_prefix":"/notebookController/jovyan"}
- ports:
- - name: notebook-port
- protocol: TCP
- containerPort: 8888
- livenessProbe:
- tcpSocket:
- port: notebook-port
- initialDelaySeconds: 50
- periodSeconds: 20
- successThreshold: 1
- failureThreshold: 3
- readinessProbe:
- httpGet:
- path: /notebook/opendatahub/jovyan/api
- port: notebook-port
- scheme: HTTP
- initialDelaySeconds: 10
- periodSeconds: 5
- successThreshold: 1
- failureThreshold: 3
- resources:
- limits:
- cpu: 500m
- memory: 2Gi
- requests:
- cpu: 500m
- memory: 2Gi
diff --git a/jupyter/datascience/anaconda-python-3.8/pipeline-flow.svg b/jupyter/datascience/anaconda-python-3.8/pipeline-flow.svg
deleted file mode 100644
index d265fe8bd..000000000
--- a/jupyter/datascience/anaconda-python-3.8/pipeline-flow.svg
+++ /dev/null
@@ -1,7 +0,0 @@
-
-
\ No newline at end of file
diff --git a/jupyter/datascience/anaconda-python-3.8/runtime-images/datascience-ubi8-py38.json b/jupyter/datascience/anaconda-python-3.8/runtime-images/datascience-ubi8-py38.json
deleted file mode 100644
index 9e777d9cf..000000000
--- a/jupyter/datascience/anaconda-python-3.8/runtime-images/datascience-ubi8-py38.json
+++ /dev/null
@@ -1,12 +0,0 @@
-{
- "display_name": "Datascience with Python 3.8 (UBI8)",
- "metadata": {
- "tags": [
- "datascience"
- ],
- "display_name": "Datascience with Python 3.8 (UBI8)",
- "image_name": "quay.io/opendatahub/workbench-images@sha256:a4290926fbfa8c54825ab867b7201c11be8c676a96d4811fdb3a8f1e348d3eb0",
- "pull_policy": "IfNotPresent"
- },
- "schema_name": "runtime-image"
-}
diff --git a/jupyter/datascience/anaconda-python-3.8/runtime-images/pytorch-ubi8-py38.json b/jupyter/datascience/anaconda-python-3.8/runtime-images/pytorch-ubi8-py38.json
deleted file mode 100644
index 78ace76af..000000000
--- a/jupyter/datascience/anaconda-python-3.8/runtime-images/pytorch-ubi8-py38.json
+++ /dev/null
@@ -1,12 +0,0 @@
-{
- "display_name": "Pytorch with CUDA and Python 3.8 (UBI8)",
- "metadata": {
- "tags": [
- "pytorch"
- ],
- "display_name": "Pytorch with CUDA and Python 3.8 (UBI8)",
- "image_name": "quay.io/opendatahub/workbench-images@sha256:49298bddf44fca3eba439001a95e29ead4300ecf5c3de692a6cfe2d894550377",
- "pull_policy": "IfNotPresent"
- },
- "schema_name": "runtime-image"
-}
diff --git a/jupyter/datascience/anaconda-python-3.8/runtime-images/tensorflow-ubi8-py38.json b/jupyter/datascience/anaconda-python-3.8/runtime-images/tensorflow-ubi8-py38.json
deleted file mode 100644
index 570b23d05..000000000
--- a/jupyter/datascience/anaconda-python-3.8/runtime-images/tensorflow-ubi8-py38.json
+++ /dev/null
@@ -1,12 +0,0 @@
-{
- "display_name": "TensorFlow with CUDA and Python 3.8 (UBI8)",
- "metadata": {
- "tags": [
- "tensorflow"
- ],
- "display_name": "TensorFlow with CUDA and Python 3.8 (UBI8)",
- "image_name": "quay.io/opendatahub/workbench-images@sha256:2dc8a0f7fdfec8b25d23e33655cfe6d8bc360e2ae86be7ca56bfc01a15c55678",
- "pull_policy": "IfNotPresent"
- },
- "schema_name": "runtime-image"
-}
diff --git a/jupyter/datascience/anaconda-python-3.8/runtime-images/ubi8-py38.json b/jupyter/datascience/anaconda-python-3.8/runtime-images/ubi8-py38.json
deleted file mode 100644
index f06de3bbd..000000000
--- a/jupyter/datascience/anaconda-python-3.8/runtime-images/ubi8-py38.json
+++ /dev/null
@@ -1,12 +0,0 @@
-{
- "display_name": "Python 3.8 (UBI8)",
- "metadata": {
- "tags": [
- "minimal"
- ],
- "display_name": "Python 3.8 (UBI8)",
- "image_name": "quay.io/opendatahub/workbench-images@sha256:7912af7063965b7203c1b68b34c7466788c447abf9b5cb2b092882a324313809",
- "pull_policy": "IfNotPresent"
- },
- "schema_name": "runtime-image"
-}
diff --git a/jupyter/datascience/anaconda-python-3.8/setup-elyra.sh b/jupyter/datascience/anaconda-python-3.8/setup-elyra.sh
deleted file mode 100644
index e800f3dd9..000000000
--- a/jupyter/datascience/anaconda-python-3.8/setup-elyra.sh
+++ /dev/null
@@ -1,49 +0,0 @@
-#!/bin/bash
-set -x
-
-replace_invalid_characters (){
- python -c 'import sys;print(sys.argv[1].translate ({ord(c): "-" for c in "!@#$%^&*()[]{};:,/<>?\|`~=_+"}))' "$1"
-}
-
-# Assumptions are existing kubeflow installation is in the kubeflow namespace
-DEFAULT_RUNTIME_FILE=$(jupyter --data-dir)/metadata/runtimes/test.json
-
-if [ -f "/var/run/secrets/kubernetes.io/serviceaccount/namespace" ]; then
- SA_NAMESPACE=$(cat /var/run/secrets/kubernetes.io/serviceaccount/namespace)
-fi
-
-COS_BUCKET=$(replace_invalid_characters "$COS_BUCKET")
-export COS_BUCKET=${COS_BUCKET:-default}
-
-# If Kubeflow credentials are not supplied, use default Kubeflow installation credentials
-KF_DEPLOYMENT_NAMESPACE="${SA_NAMESPACE:=default}"
-AWS_ACCESS_KEY_ID="${AWS_ACCESS_KEY_ID:=minio}"
-AWS_SECRET_ACCESS_KEY="${AWS_SECRET_ACCESS_KEY:=minio123}"
-
-if [[ ! -f "$DEFAULT_RUNTIME_FILE" ]]; then
- elyra-metadata install runtimes --schema_name=kfp \
- --name=test \
- --display_name=Test \
- --auth_type=NO_AUTHENTICATION \
- --api_endpoint=http://ml-pipeline."$KF_DEPLOYMENT_NAMESPACE".svc.cluster.local:3000/pipeline \
- --cos_endpoint=http://minio-service."$KF_DEPLOYMENT_NAMESPACE".svc.cluster.local:9000 \
- --cos_auth_type=USER_CREDENTIALS \
- --cos_username="$AWS_ACCESS_KEY_ID" \
- --cos_password="$AWS_SECRET_ACCESS_KEY" \
- --cos_bucket="$COS_BUCKET" \
- --engine=Tekton
-fi
-
-# Set the elyra config on the right path
-jupyter elyra --generate-config
-cp /opt/app-root/bin/utils/jupyter_elyra_config.py /opt/app-root/src/.jupyter/
-
-# Set runtime config from volume mount
-if [ "$(ls -A /opt/app-root/runtimes/)" ]; then
- cp -r /opt/app-root/runtimes/..data/*.json $(jupyter --data-dir)/metadata/runtimes/
-fi
-
-# Environment vars set for accessing ssl_sa_certs and sa_token
-export KF_PIPELINES_SSL_SA_CERTS="/var/run/secrets/kubernetes.io/serviceaccount/ca.crt"
-export KF_PIPELINES_SA_TOKEN_ENV="/var/run/secrets/kubernetes.io/serviceaccount/token"
-export KF_PIPELINES_SA_TOKEN_PATH="/var/run/secrets/kubernetes.io/serviceaccount/token"
\ No newline at end of file
diff --git a/jupyter/datascience/anaconda-python-3.8/start-notebook.sh b/jupyter/datascience/anaconda-python-3.8/start-notebook.sh
deleted file mode 100755
index f165c7de8..000000000
--- a/jupyter/datascience/anaconda-python-3.8/start-notebook.sh
+++ /dev/null
@@ -1,40 +0,0 @@
-#!/usr/bin/env bash
-
-# Load bash libraries
-SCRIPT_DIR=/opt/app-root/bin
-source ${SCRIPT_DIR}/utils/process.sh
-
-if [ -f "${SCRIPT_DIR}/utils/setup-elyra.sh" ]; then
- source ${SCRIPT_DIR}/utils/setup-elyra.sh
-fi
-
-# Initialize notebooks arguments variable
-NOTEBOOK_PROGRAM_ARGS=""
-
-# Set default ServerApp.port value if NOTEBOOK_PORT variable is defined
-if [ -n "${NOTEBOOK_PORT}" ]; then
- NOTEBOOK_PROGRAM_ARGS+="--ServerApp.port=${NOTEBOOK_PORT} "
-fi
-
-# Set default ServerApp.base_url value if NOTEBOOK_BASE_URL variable is defined
-if [ -n "${NOTEBOOK_BASE_URL}" ]; then
- NOTEBOOK_PROGRAM_ARGS+="--ServerApp.base_url=${NOTEBOOK_BASE_URL} "
-fi
-
-# Set default ServerApp.root_dir value if NOTEBOOK_ROOT_DIR variable is defined
-if [ -n "${NOTEBOOK_ROOT_DIR}" ]; then
- NOTEBOOK_PROGRAM_ARGS+="--ServerApp.root_dir=${NOTEBOOK_ROOT_DIR} "
-else
- NOTEBOOK_PROGRAM_ARGS+="--ServerApp.root_dir=${HOME} "
-fi
-
-# Add additional arguments if NOTEBOOK_ARGS variable is defined
-if [ -n "${NOTEBOOK_ARGS}" ]; then
- NOTEBOOK_PROGRAM_ARGS+=${NOTEBOOK_ARGS}
-fi
-
-# Start the JupyterLab notebook
-start_process jupyter lab ${NOTEBOOK_PROGRAM_ARGS} \
- --ServerApp.ip=0.0.0.0 \
- --ServerApp.allow_origin="*" \
- --ServerApp.open_browser=False
diff --git a/jupyter/datascience/anaconda-python-3.8/utils/process.sh b/jupyter/datascience/anaconda-python-3.8/utils/process.sh
deleted file mode 100644
index 4da716a9f..000000000
--- a/jupyter/datascience/anaconda-python-3.8/utils/process.sh
+++ /dev/null
@@ -1,19 +0,0 @@
-#!/usr/bin/env bash
-
-function start_process() {
- trap stop_process TERM INT
-
- echo "Running command: $@"
- "$@" &
-
- PID=$!
- wait $PID
- trap - TERM INT
- wait $PID
- STATUS=$?
- exit $STATUS
-}
-
-function stop_process() {
- kill -TERM $PID
-}
diff --git a/jupyter/datascience/ubi8-python-3.8/Dockerfile b/jupyter/datascience/ubi8-python-3.8/Dockerfile
deleted file mode 100644
index 978c5e10a..000000000
--- a/jupyter/datascience/ubi8-python-3.8/Dockerfile
+++ /dev/null
@@ -1,80 +0,0 @@
-ARG BASE_IMAGE
-FROM ${BASE_IMAGE}
-
-LABEL name="odh-notebook-jupyter-datascience-ubi8-python-3.8" \
- summary="Jupyter data science notebook image for ODH notebooks" \
- description="Jupyter data science notebook image with base Python 3.8 builder image based on UBI8 for ODH notebooks" \
- io.k8s.display-name="Jupyter data science notebook image for ODH notebooks" \
- io.k8s.description="Jupyter data science notebook image with base Python 3.8 builder image based on UBI8 for ODH notebooks" \
- authoritative-source-url="https://github.com/opendatahub-io/notebooks" \
- io.openshift.build.commit.ref="main" \
- io.openshift.build.source-location="https://github.com/opendatahub-io/notebooks/tree/main/jupyter/datascience/ubi8-python-3.8" \
- io.openshift.build.image="quay.io/opendatahub/workbench-images:jupyter-datascience-ubi8-python-3.8"
-
-WORKDIR /opt/app-root/bin
-
-# Install Python packages and Jupyterlab extensions from Pipfile.lock
-COPY Pipfile.lock ./
-# Copy Elyra setup to utils so that it's sourced at startup
-COPY setup-elyra.sh ./utils/
-
-RUN echo "Installing softwares and packages" && \
- micropipenv install && \
- rm -f ./Pipfile.lock
-
-COPY utils ./utils/
-
-# OS Packages needs to be installed as root
-USER root
-
-# Install usefull OS packages
-RUN dnf install -y jq unixODBC git-lfs libsndfile && dnf clean all && rm -rf /var/cache/yum
-
-# Disable announcement plugin of jupyterlab
-RUN jupyter labextension disable "@jupyterlab/apputils-extension:announcements"
-
-# Install MongoDB Client, We need a special repo for MongoDB as they do their own distribution
-COPY mongodb-org-6.0.repo-x86_64 /etc/yum.repos.d/mongodb-org-6.0.repo
-
-RUN dnf install -y mongocli && dnf clean all && rm -rf /var/cache/yum
-
-# Install MSSQL Client, We need a special repo for MSSQL as they do their own distribution
-COPY mssql-2022.repo-x86_64 /etc/yum.repos.d/mssql-2022.repo
-
-RUN ACCEPT_EULA=Y dnf install -y mssql-tools18 unixODBC-devel && dnf clean all && rm -rf /var/cache/yum
-
-ENV PATH="$PATH:/opt/mssql-tools18/bin"
-
-# Other apps and tools installed as default user
-USER 1001
-
-# setup path for runtime configuration
-RUN mkdir /opt/app-root/runtimes && \
- # switch to Data Science Pipeline \
- cp utils/pipeline-flow.svg /opt/app-root/lib/python3.8/site-packages/elyra/static/icons/kubeflow.svg && \
- sed -i "s/Kubeflow Pipelines/Data Science/g" /opt/app-root/lib/python3.8/site-packages/elyra/pipeline/runtime_type.py && \
- sed -i "s/Kubeflow Pipelines/Data Science Pipelines/g" /opt/app-root/lib/python3.8/site-packages/elyra/metadata/schemas/kfp.json && \
- sed -i "s/kubeflow-service/data-science-pipeline-service/g" /opt/app-root/lib/python3.8/site-packages/elyra/metadata/schemas/kfp.json && \
- # switch to Data Science Pipeline in component catalog \
- DIR_COMPONENT="/opt/app-root/lib/python3.8/site-packages/elyra/metadata/schemas/local-directory-catalog.json" && \
- FILE_COMPONENT="/opt/app-root/lib/python3.8/site-packages/elyra/metadata/schemas/local-file-catalog.json" && \
- URL_COMPONENT="/opt/app-root/lib/python3.8/site-packages/elyra/metadata/schemas/url-catalog.json" && \
- tmp=$(mktemp) && \
- jq '.properties.metadata.properties.runtime_type = input' $DIR_COMPONENT utils/component_runtime.json > "$tmp" && mv "$tmp" $DIR_COMPONENT && \
- jq '.properties.metadata.properties.runtime_type = input' $FILE_COMPONENT utils/component_runtime.json > "$tmp" && mv "$tmp" $FILE_COMPONENT && \
- jq '.properties.metadata.properties.runtime_type = input' $URL_COMPONENT utils/component_runtime.json > "$tmp" && mv "$tmp" $URL_COMPONENT && \
- sed -i "s/metadata.metadata.runtime_type/\"DATA_SCIENCE_PIPELINES\"/g" /opt/app-root/share/jupyter/labextensions/@elyra/pipeline-editor-extension/static/lib_index_js.*.js && \
- # Remove Elyra logo from JupyterLab because this is not a pure Elyra image \
- sed -i 's/widget\.id === \x27jp-MainLogo\x27/widget\.id === \x27jp-MainLogo\x27 \&\& false/' /opt/app-root/share/jupyter/labextensions/@elyra/theme-extension/static/lib_index_js.*.js && \
- # Replace Notebook's launcher, "(ipykernel)" with Python's version 3.x.y \
- sed -i -e "s/Python.*/$(python --version| cut -d '.' -f-2)\",/" /opt/app-root/share/jupyter/kernels/python3/kernel.json && \
- # Remove default Elyra runtime-images \
- rm /opt/app-root/share/jupyter/metadata/runtime-images/*.json && \
- # Fix permissions to support pip in Openshift environments \
- chmod -R g+w /opt/app-root/lib/python3.8/site-packages && \
- fix-permissions /opt/app-root -P
-
-# Copy Elyra runtime-images definitions and set the version
-COPY runtime-images/ /opt/app-root/share/jupyter/metadata/runtime-images/
-
-WORKDIR /opt/app-root/src
diff --git a/jupyter/datascience/ubi8-python-3.8/Pipfile b/jupyter/datascience/ubi8-python-3.8/Pipfile
deleted file mode 100644
index 223af7c60..000000000
--- a/jupyter/datascience/ubi8-python-3.8/Pipfile
+++ /dev/null
@@ -1,49 +0,0 @@
-[[source]]
-url = "https://pypi.org/simple"
-verify_ssl = true
-name = "pypi"
-
-[dev-packages]
-
-[packages]
-# Datascience and useful extensions
-boto3 = "~=1.34.50"
-kafka-python = "~=2.0.2"
-matplotlib = "~=3.7.5"
-numpy = "~=1.24.4" # Last version to support Python 3.8
-pandas = "~=2.0.3"
-plotly = "~=5.20.0"
-scikit-learn = "~=1.3.2"
-scipy = "~=1.10.1"
-skl2onnx = "~=1.16.0"
-onnxconverter-common = "~=1.13.0" # Required for skl2onnx, as upgraded version is not compatible with protobuf
-codeflare-sdk = "~=0.16.3"
-# DB connectors
-pymongo = "~=4.6.2"
-psycopg = "~=3.1.18"
-pyodbc = "~=5.1.0"
-mysql-connector-python = "~=8.3.0"
-# JupyterLab packages
-odh-elyra = "~=3.16.7"
-jupyterlab = "~=3.6.7" # Wait on upgrade till plugins are ready
-jupyter-bokeh = "~=3.0.7" # Upgrade would bring in jupyterlab 4
-jupyter-server = "~=2.13.0"
-jupyter-server-proxy = "~=4.0.0" # Upgrade would bring in jupyterlab 4
-jupyter-server-terminals = "~=0.5.3"
-jupyterlab-git = "~=0.44.0"
-jupyterlab-lsp = "~=4.2.0"
-jupyterlab-widgets = "~=3.0.10"
-jupyter-resource-usage = "~=0.7.2"
-nbdime = "~=3.2.1"
-nbgitpuller = "~=1.2.0"
-# pycodestyle is dependency of below packages
-# and to achieve compatible of pycodestyle with python-lsp-server[all]
-# pinned the below packages
-autopep8 = "~=2.0.4"
-flake8 = "~=7.0.0"
-# Base packages
-wheel = "~=0.43.0"
-setuptools = "~=69.2.0"
-
-[requires]
-python_version = "3.8"
diff --git a/jupyter/datascience/ubi8-python-3.8/Pipfile.lock b/jupyter/datascience/ubi8-python-3.8/Pipfile.lock
deleted file mode 100644
index 4a2eb44f5..000000000
--- a/jupyter/datascience/ubi8-python-3.8/Pipfile.lock
+++ /dev/null
@@ -1,4140 +0,0 @@
-{
- "_meta": {
- "hash": {
- "sha256": "0e286040f5495bd811dcbbd1aa8ebc5cc0a27d5de4b8e4c6829e757925f33a82"
- },
- "pipfile-spec": 6,
- "requires": {
- "python_version": "3.8"
- },
- "sources": [
- {
- "name": "pypi",
- "url": "https://pypi.org/simple",
- "verify_ssl": true
- }
- ]
- },
- "default": {
- "aiofiles": {
- "hashes": [
- "sha256:1142fa8e80dbae46bb6339573ad4c8c0841358f79c6eb50a493dceca14621bad",
- "sha256:9107f1ca0b2a5553987a94a3c9959fe5b491fdf731389aa5b7b1bd0733e32de6"
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- "version": "==22.1.0"
- },
- "aiohttp": {
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diff --git a/jupyter/datascience/ubi8-python-3.8/kustomize/base/kustomization.yaml b/jupyter/datascience/ubi8-python-3.8/kustomize/base/kustomization.yaml
deleted file mode 100644
index b01c9b882..000000000
--- a/jupyter/datascience/ubi8-python-3.8/kustomize/base/kustomization.yaml
+++ /dev/null
@@ -1,13 +0,0 @@
----
-apiVersion: kustomize.config.k8s.io/v1beta1
-kind: Kustomization
-namePrefix: jupyter-datascience-ubi8-python-3-8-
-commonLabels:
- app: jupyter-datascience-ubi8-python-3-8
-resources:
- - service.yaml
- - statefulset.yaml
-images:
- - name: quay.io/opendatahub/workbench-images
- newName: quay.io/opendatahub/workbench-images
- newTag: jupyter-datascience-ubi8-python-3.8
diff --git a/jupyter/datascience/ubi8-python-3.8/kustomize/base/service.yaml b/jupyter/datascience/ubi8-python-3.8/kustomize/base/service.yaml
deleted file mode 100644
index d6f7128e8..000000000
--- a/jupyter/datascience/ubi8-python-3.8/kustomize/base/service.yaml
+++ /dev/null
@@ -1,15 +0,0 @@
----
-apiVersion: v1
-kind: Service
-metadata:
- name: notebook
- labels:
- app: notebook
-spec:
- type: ClusterIP
- ports:
- - port: 8888
- protocol: TCP
- targetPort: notebook-port
- selector:
- app: notebook
diff --git a/jupyter/datascience/ubi8-python-3.8/kustomize/base/statefulset.yaml b/jupyter/datascience/ubi8-python-3.8/kustomize/base/statefulset.yaml
deleted file mode 100644
index f46b29a68..000000000
--- a/jupyter/datascience/ubi8-python-3.8/kustomize/base/statefulset.yaml
+++ /dev/null
@@ -1,58 +0,0 @@
----
-apiVersion: apps/v1
-kind: StatefulSet
-metadata:
- name: notebook
- annotations:
- opendatahub.io/username: jovyan
- labels:
- opendatahub.io/user: jovyan
-spec:
- replicas: 1
- selector: {}
- serviceName: notebook
- template:
- metadata:
- labels: {}
- spec:
- containers:
- - name: notebook
- image: quay.io/opendatahub/workbench-images:jupyter-datascience-ubi8-python-3.8
- imagePullPolicy: Always
- workingDir: /opt/app-root/src
- env:
- - name: NOTEBOOK_ARGS
- value: |-
- --ServerApp.port=8888
- --ServerApp.token=''
- --ServerApp.password=''
- --ServerApp.base_url=/notebook/opendatahub/jovyan
- --ServerApp.quit_button=False
- --ServerApp.tornado_settings={"user":"jovyan","hub_host":"https://opendatahub.io","hub_prefix":"/notebookController/jovyan"}
- ports:
- - name: notebook-port
- protocol: TCP
- containerPort: 8888
- livenessProbe:
- tcpSocket:
- port: notebook-port
- initialDelaySeconds: 5
- periodSeconds: 5
- successThreshold: 1
- failureThreshold: 3
- readinessProbe:
- httpGet:
- path: /notebook/opendatahub/jovyan/api
- port: notebook-port
- scheme: HTTP
- initialDelaySeconds: 10
- periodSeconds: 5
- successThreshold: 1
- failureThreshold: 3
- resources:
- limits:
- cpu: 500m
- memory: 2Gi
- requests:
- cpu: 500m
- memory: 2Gi
diff --git a/jupyter/datascience/ubi8-python-3.8/mongodb-org-6.0.repo-x86_64 b/jupyter/datascience/ubi8-python-3.8/mongodb-org-6.0.repo-x86_64
deleted file mode 100644
index 88e6eee51..000000000
--- a/jupyter/datascience/ubi8-python-3.8/mongodb-org-6.0.repo-x86_64
+++ /dev/null
@@ -1,6 +0,0 @@
-[mongodb-org-6.0]
-name=MongoDB Repository
-baseurl=https://repo.mongodb.org/yum/redhat/8/mongodb-org/6.0/x86_64/
-gpgcheck=1
-enabled=1
-gpgkey=https://www.mongodb.org/static/pgp/server-6.0.asc
diff --git a/jupyter/datascience/ubi8-python-3.8/mssql-2022.repo-x86_64 b/jupyter/datascience/ubi8-python-3.8/mssql-2022.repo-x86_64
deleted file mode 100644
index 0d211db5f..000000000
--- a/jupyter/datascience/ubi8-python-3.8/mssql-2022.repo-x86_64
+++ /dev/null
@@ -1,6 +0,0 @@
-[packages-microsoft-com-prod]
-name=packages-microsoft-com-prod
-baseurl=https://packages.microsoft.com/rhel/8/prod/
-enabled=1
-gpgcheck=1
-gpgkey=https://packages.microsoft.com/keys/microsoft.asc
diff --git a/jupyter/datascience/ubi8-python-3.8/runtime-images/datascience-ubi8-py38.json b/jupyter/datascience/ubi8-python-3.8/runtime-images/datascience-ubi8-py38.json
deleted file mode 100644
index 9e777d9cf..000000000
--- a/jupyter/datascience/ubi8-python-3.8/runtime-images/datascience-ubi8-py38.json
+++ /dev/null
@@ -1,12 +0,0 @@
-{
- "display_name": "Datascience with Python 3.8 (UBI8)",
- "metadata": {
- "tags": [
- "datascience"
- ],
- "display_name": "Datascience with Python 3.8 (UBI8)",
- "image_name": "quay.io/opendatahub/workbench-images@sha256:a4290926fbfa8c54825ab867b7201c11be8c676a96d4811fdb3a8f1e348d3eb0",
- "pull_policy": "IfNotPresent"
- },
- "schema_name": "runtime-image"
-}
diff --git a/jupyter/datascience/ubi8-python-3.8/runtime-images/pytorch-ubi8-py38.json b/jupyter/datascience/ubi8-python-3.8/runtime-images/pytorch-ubi8-py38.json
deleted file mode 100644
index 78ace76af..000000000
--- a/jupyter/datascience/ubi8-python-3.8/runtime-images/pytorch-ubi8-py38.json
+++ /dev/null
@@ -1,12 +0,0 @@
-{
- "display_name": "Pytorch with CUDA and Python 3.8 (UBI8)",
- "metadata": {
- "tags": [
- "pytorch"
- ],
- "display_name": "Pytorch with CUDA and Python 3.8 (UBI8)",
- "image_name": "quay.io/opendatahub/workbench-images@sha256:49298bddf44fca3eba439001a95e29ead4300ecf5c3de692a6cfe2d894550377",
- "pull_policy": "IfNotPresent"
- },
- "schema_name": "runtime-image"
-}
diff --git a/jupyter/datascience/ubi8-python-3.8/runtime-images/tensorflow-ubi8-py38.json b/jupyter/datascience/ubi8-python-3.8/runtime-images/tensorflow-ubi8-py38.json
deleted file mode 100644
index 570b23d05..000000000
--- a/jupyter/datascience/ubi8-python-3.8/runtime-images/tensorflow-ubi8-py38.json
+++ /dev/null
@@ -1,12 +0,0 @@
-{
- "display_name": "TensorFlow with CUDA and Python 3.8 (UBI8)",
- "metadata": {
- "tags": [
- "tensorflow"
- ],
- "display_name": "TensorFlow with CUDA and Python 3.8 (UBI8)",
- "image_name": "quay.io/opendatahub/workbench-images@sha256:2dc8a0f7fdfec8b25d23e33655cfe6d8bc360e2ae86be7ca56bfc01a15c55678",
- "pull_policy": "IfNotPresent"
- },
- "schema_name": "runtime-image"
-}
diff --git a/jupyter/datascience/ubi8-python-3.8/runtime-images/ubi8-py38.json b/jupyter/datascience/ubi8-python-3.8/runtime-images/ubi8-py38.json
deleted file mode 100644
index f06de3bbd..000000000
--- a/jupyter/datascience/ubi8-python-3.8/runtime-images/ubi8-py38.json
+++ /dev/null
@@ -1,12 +0,0 @@
-{
- "display_name": "Python 3.8 (UBI8)",
- "metadata": {
- "tags": [
- "minimal"
- ],
- "display_name": "Python 3.8 (UBI8)",
- "image_name": "quay.io/opendatahub/workbench-images@sha256:7912af7063965b7203c1b68b34c7466788c447abf9b5cb2b092882a324313809",
- "pull_policy": "IfNotPresent"
- },
- "schema_name": "runtime-image"
-}
diff --git a/jupyter/datascience/ubi8-python-3.8/setup-elyra.sh b/jupyter/datascience/ubi8-python-3.8/setup-elyra.sh
deleted file mode 100644
index d9b08b397..000000000
--- a/jupyter/datascience/ubi8-python-3.8/setup-elyra.sh
+++ /dev/null
@@ -1,24 +0,0 @@
-#!/bin/bash
-set -x
-
-# Set the elyra config on the right path
-jupyter elyra --generate-config
-cp /opt/app-root/bin/utils/jupyter_elyra_config.py /opt/app-root/src/.jupyter/
-
-# create the elyra runtime directory if not present
-if [ ! -d $(jupyter --data-dir)/metadata/runtimes/ ]; then
- mkdir -p $(jupyter --data-dir)/metadata/runtimes/
-fi
-# Set elyra runtime config from volume mount
-if [ "$(ls -A /opt/app-root/runtimes/)" ]; then
- cp -r /opt/app-root/runtimes/..data/*.json $(jupyter --data-dir)/metadata/runtimes/
-fi
-
-# Environment vars set for accessing ssl_sa_certs and sa_token
-# export PIPELINES_SSL_SA_CERTS="/var/run/secrets/kubernetes.io/serviceaccount/ca.crt"
-export KF_PIPELINES_SA_TOKEN_ENV="/var/run/secrets/kubernetes.io/serviceaccount/token"
-export KF_PIPELINES_SA_TOKEN_PATH="/var/run/secrets/kubernetes.io/serviceaccount/token"
-# Environment vars set for accessing following dependencies for air-gapped enviroment
-export ELYRA_BOOTSTRAP_SCRIPT_URL="file:///opt/app-root/bin/utils/bootstrapper.py"
-export ELYRA_PIP_CONFIG_URL="file:///opt/app-root/bin/utils/pip.conf"
-export ELYRA_REQUIREMENTS_URL="file:///opt/app-root/bin/utils/requirements-elyra.txt"
\ No newline at end of file
diff --git a/jupyter/datascience/ubi8-python-3.8/test/test_notebook.ipynb b/jupyter/datascience/ubi8-python-3.8/test/test_notebook.ipynb
deleted file mode 100644
index 32f167d38..000000000
--- a/jupyter/datascience/ubi8-python-3.8/test/test_notebook.ipynb
+++ /dev/null
@@ -1,233 +0,0 @@
-{
- "cells": [
- {
- "cell_type": "code",
- "execution_count": null,
- "id": "01399e50-95a4-4378-9f8d-434681d6bbf4",
- "metadata": {},
- "outputs": [],
- "source": [
- "import unittest\n",
- "from unittest import mock\n",
- "from platform import python_version\n",
- "import pandas as pd\n",
- "from pandas.testing import assert_frame_equal\n",
- "import numpy as np\n",
- "import scipy\n",
- "import sklearn\n",
- "from scipy import special\n",
- "from scipy import integrate\n",
- "from sklearn import datasets\n",
- "from sklearn.model_selection import train_test_split\n",
- "import matplotlib\n",
- "import matplotlib.pyplot as plt\n",
- "import kafka\n",
- "from kafka import KafkaConsumer, KafkaProducer, TopicPartition\n",
- "from kafka.producer.buffer import SimpleBufferPool\n",
- "from kafka import KafkaConsumer\n",
- "from kafka.errors import KafkaConfigurationError\n",
- "import boto3\n",
- "\n",
- "def get_major_minor(s):\n",
- " return '.'.join(s.split('.')[:2])\n",
- "\n",
- "class TestPythonVersion(unittest.TestCase):\n",
- " def test_version(self):\n",
- " expected_major_minor = '3.8'\n",
- " actual_major_minor = get_major_minor(python_version())\n",
- " self.assertEqual(actual_major_minor, expected_major_minor, \"incorrect version\")\n",
- "\n",
- "class TestPandas(unittest.TestCase):\n",
- " def test_version(self):\n",
- " expected_major_minor = '2.0'\n",
- " actual_major_minor = get_major_minor(pd.__version__)\n",
- " self.assertEqual(actual_major_minor, expected_major_minor, \"incorrect version\")\n",
- "\n",
- " def test_dataframe_creation(self):\n",
- " sample_df = pd.DataFrame({'a': [1, 2], 'b': [3, 4]})\n",
- " self.assertIsInstance(sample_df, pd.core.frame.DataFrame)\n",
- "\n",
- " def test_equal_dataframes(self):\n",
- " df1 = pd.DataFrame({'a': [1, 2], 'b': [3, 4]})\n",
- " df2 = pd.DataFrame({'a': [1, 2], 'b': [3.0, 4.0]})\n",
- " self.assertIsNone(assert_frame_equal(df1, df2, check_dtype=False), \"Dataframes provided are unequal\")\n",
- "\n",
- " def test_unequal_dataframes(self):\n",
- " df1 = pd.DataFrame({'a': [1, 2], 'b': [3, 4]})\n",
- " df2 = pd.DataFrame({'a': [1, 2], 'b': [3.0, 5.0]})\n",
- " with self.assertRaises(AssertionError):\n",
- " assert_frame_equal(df1, df2, check_dtype=False)\n",
- "\n",
- " def test_dataframe_shape(self):\n",
- " random_data = {\n",
- " 'apples': [3, 2, 0, 1], \n",
- " 'oranges': [0, 3, 7, 2]\n",
- " }\n",
- " sample_df = pd.DataFrame(random_data)\n",
- " self.assertEqual(sample_df.shape, (4,2))\n",
- "\n",
- " def test_index_out_of_bounds(self):\n",
- " random_data = {\n",
- " 'apples': [3, 2, 0, 1], \n",
- " 'oranges': [0, 3, 7, 2]\n",
- " }\n",
- " sample_df = pd.DataFrame(random_data)\n",
- " with self.assertRaises(IndexError):\n",
- " print(sample_df.iat[0,3])\n",
- "\n",
- " def test_sampling(self):\n",
- " random_data = {\n",
- " 'apples': [3, 2, 0, 1], \n",
- " 'oranges': [0, 3, 7, 2]\n",
- " }\n",
- " sample_df = pd.DataFrame(random_data)\n",
- " half_sampled_df = sample_df.sample(frac = 0.5)\n",
- " self.assertEqual(len(half_sampled_df), 2)\n",
- "\n",
- " def test_drop(self):\n",
- " random_data = {\n",
- " 'apples': [3, 2, 0, 1], \n",
- " 'oranges': [0, 3, 7, 2]\n",
- " }\n",
- " sample_df = pd.DataFrame(random_data)\n",
- " self.assertEqual(sample_df.drop(columns=['apples']).shape, (4, 1))\n",
- "\n",
- "class TestNumpy(unittest.TestCase):\n",
- " def test_version(self):\n",
- " expected_major_minor = '1.24'\n",
- " actual_major_minor = get_major_minor(np.__version__)\n",
- " self.assertEqual(actual_major_minor, expected_major_minor, \"incorrect version\")\n",
- "\n",
- " def test_array_creation(self):\n",
- " arr = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9])\n",
- " self.assertIsInstance(arr, np.ndarray)\n",
- " \n",
- " def test_array_opeartions(self):\n",
- " arr = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9])\n",
- "\n",
- " self.assertEqual(arr.sum(), 45)\n",
- " self.assertEqual(len(arr), 9)\n",
- " self.assertEqual(arr.max(), 9)\n",
- " self.assertEqual(arr.min(), 1)\n",
- "\n",
- " def test_array_statistical_functions(self):\n",
- " arr = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9])\n",
- "\n",
- " self.assertEqual(np.median(arr), 5)\n",
- " self.assertEqual(np.mean(arr), 5)\n",
- " self.assertEqual(np.std(arr), 2.581988897471611)\n",
- "\n",
- "class TestScipy(unittest.TestCase):\n",
- " def test_version(self):\n",
- " expected_major_minor = '1.10'\n",
- " actual_major_minor = get_major_minor(scipy.__version__)\n",
- " self.assertEqual(actual_major_minor, expected_major_minor, \"incorrect version\")\n",
- "\n",
- " def test_scipy_special(self):\n",
- " self.assertEqual(special.exp10(3), 1000.0)\n",
- " self.assertEqual(special.exp2(10), 1024.0)\n",
- " self.assertEqual(special.sindg(90), 1)\n",
- " self.assertEqual(special.cosdg(0), 1)\n",
- "\n",
- " def test_scipy_integrate(self):\n",
- " a= lambda x:special.exp10(x)\n",
- " b = integrate.quad(a, 0, 1)\n",
- " self.assertEqual(b, (3.9086503371292665, 4.3394735994897923e-14))\n",
- "\n",
- "class TestSKLearn(unittest.TestCase):\n",
- " def test_version(self):\n",
- " expected_major_minor = '1.3'\n",
- " actual_major_minor = get_major_minor(sklearn.__version__)\n",
- " self.assertEqual(actual_major_minor, expected_major_minor, \"incorrect version\")\n",
- " \n",
- " def test_sklearn_dataset(self):\n",
- " data_set = datasets.load_iris()\n",
- " self.assertIsInstance(data_set, sklearn.utils._bunch.Bunch)\n",
- "\n",
- " def test_sklearn_train_test_split(self):\n",
- " my_iris = datasets.load_iris()\n",
- " X = my_iris.data\n",
- " Y = my_iris.target\n",
- "\n",
- " X_traindata, X_testdata, Y_traindata, Y_testdata = train_test_split(\n",
- " X, Y, test_size = 0.3, random_state = 1)\n",
- " \n",
- " self.assertEqual(X_traindata.shape, (105, 4))\n",
- " self.assertEqual(X_testdata.shape, (45, 4))\n",
- " self.assertEqual(Y_traindata.shape, (105,))\n",
- " self.assertEqual(Y_testdata.shape, (45,))\n",
- "\n",
- "class TestMatplotlib(unittest.TestCase):\n",
- "\n",
- " def test_version(self):\n",
- " expected_major_minor = '3.7'\n",
- " actual_major_minor = get_major_minor(matplotlib.__version__)\n",
- " self.assertEqual(actual_major_minor, expected_major_minor, \"incorrect version\")\n",
- "\n",
- " def test_matplotlib_figure_creation(self):\n",
- " self.assertIsInstance(plt.figure(figsize=(8,5)), matplotlib.figure.Figure)\n",
- "\n",
- "class TestKafkaPython(unittest.TestCase):\n",
- "\n",
- " def test_version(self):\n",
- " expected_major_minor = '2.0'\n",
- " actual_major_minor = get_major_minor(kafka.__version__)\n",
- " self.assertEqual(actual_major_minor, expected_major_minor, \"incorrect version\")\n",
- "\n",
- " def test_buffer_pool(self):\n",
- " pool = SimpleBufferPool(1000, 1000)\n",
- " \n",
- " buf1 = pool.allocate(1000, 1000)\n",
- " message = ''.join(map(str, range(100)))\n",
- " buf1.write(message.encode('utf-8'))\n",
- " pool.deallocate(buf1)\n",
- " \n",
- " buf2 = pool.allocate(1000, 1000)\n",
- " self.assertEqual(buf2.read(), b'')\n",
- "\n",
- " def test_session_timeout_larger_than_request_timeout_raises(self):\n",
- " with self.assertRaises(KafkaConfigurationError):\n",
- " KafkaConsumer(bootstrap_servers='localhost:9092', api_version=(0, 9), group_id='foo', session_timeout_ms=50000, request_timeout_ms=40000)\n",
- "\n",
- "class TestBoto3(unittest.TestCase):\n",
- "\n",
- " def test_version(self):\n",
- " expected_major_minor = '1.34'\n",
- " actual_major_minor = get_major_minor(boto3.__version__)\n",
- " self.assertEqual(actual_major_minor, expected_major_minor, \"incorrect version\")\n",
- "\n",
- " def setUp(self):\n",
- " self.session_patch = mock.patch('boto3.Session', autospec=True)\n",
- " self.Session = self.session_patch.start()\n",
- "\n",
- " def tearDown(self):\n",
- " boto3.DEFAULT_SESSION = None\n",
- " self.session_patch.stop()\n",
- "\n",
- " def test_create_default_session(self):\n",
- " session = self.Session.return_value\n",
- "\n",
- " boto3.setup_default_session()\n",
- "\n",
- " self.assertEqual(boto3.DEFAULT_SESSION, session)\n",
- "\n",
- "def local_loader(src: str):\n",
- " import os\n",
- " import shutil\n",
- " \n",
- " if os.path.exists(src):\n",
- " shutil.copyfile(src, kfp.components.OutputPath())\n",
- "\n",
- "unittest.main(argv=[''], verbosity=2, exit=False)"
- ]
- }
- ],
- "metadata": {
- "language_info": {
- "name": "python"
- },
- "orig_nbformat": 4
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}
diff --git a/jupyter/datascience/ubi8-python-3.8/utils/component_runtime.json b/jupyter/datascience/ubi8-python-3.8/utils/component_runtime.json
deleted file mode 100644
index a1e84196e..000000000
--- a/jupyter/datascience/ubi8-python-3.8/utils/component_runtime.json
+++ /dev/null
@@ -1,10 +0,0 @@
-{
- "title": "Runtime Type",
- "description": "The type of runtime associated with this Component Catalog",
- "type": "string",
- "enum": ["KUBEFLOW_PIPELINES"],
- "default": "KUBEFLOW_PIPELINES",
- "uihints": {
- "hidden": true
- }
-}
\ No newline at end of file
diff --git a/jupyter/datascience/ubi8-python-3.8/utils/jupyter_elyra_config.py b/jupyter/datascience/ubi8-python-3.8/utils/jupyter_elyra_config.py
deleted file mode 100644
index caa1981d0..000000000
--- a/jupyter/datascience/ubi8-python-3.8/utils/jupyter_elyra_config.py
+++ /dev/null
@@ -1,11 +0,0 @@
-# Configuration file for elyra.
-# Pre-generated via `jupyter elyra --generate-config`
-# Editted out the rest of the content, use the above command to get additional config sections.
-
-c = get_config() #noqa
-
-#------------------------------------------------------------------------------
-# PipelineProcessorRegistry(SingletonConfigurable) configuration
-#------------------------------------------------------------------------------
-
-c.PipelineProcessorRegistry.runtimes = ['kfp']
\ No newline at end of file
diff --git a/jupyter/datascience/ubi8-python-3.8/utils/kfp_authentication.patch b/jupyter/datascience/ubi8-python-3.8/utils/kfp_authentication.patch
deleted file mode 100644
index 3b4b776d1..000000000
--- a/jupyter/datascience/ubi8-python-3.8/utils/kfp_authentication.patch
+++ /dev/null
@@ -1,18 +0,0 @@
---- a/kfp_authentication.py 2023-06-09 10:13:11.412910808 -0400
-+++ b/kfp_authentication.py 2023-06-09 10:14:39.879565175 -0400
-@@ -230,6 +230,7 @@
- """
-
- kf_url = urlsplit(api_endpoint)._replace(path="").geturl()
-+ kf_pipelines_ssl_sa_cert = os.getenv("PIPELINES_SSL_SA_CERTS", None)
-
- # return data structure for successful requests
- auth_info = {
-@@ -239,6 +240,7 @@
- "cookies": None, # passed to KFP SDK client as "cookies" param value
- "credentials": None, # passed to KFP SDK client as "credentials" param value
- "existing_token": None, # passed to KFP SDK client as "existing_token" param value
-+ "ssl_ca_cert": kf_pipelines_ssl_sa_cert, # passed to KFP SDK Client as "ssl_ca_cert" param value
- }
-
- try:
diff --git a/jupyter/datascience/ubi8-python-3.8/utils/pipeline-flow.svg b/jupyter/datascience/ubi8-python-3.8/utils/pipeline-flow.svg
deleted file mode 100644
index d265fe8bd..000000000
--- a/jupyter/datascience/ubi8-python-3.8/utils/pipeline-flow.svg
+++ /dev/null
@@ -1,7 +0,0 @@
-
-
\ No newline at end of file
diff --git a/jupyter/datascience/ubi8-python-3.8/utils/pipeline_app.patch b/jupyter/datascience/ubi8-python-3.8/utils/pipeline_app.patch
deleted file mode 100644
index 2d65b3a86..000000000
--- a/jupyter/datascience/ubi8-python-3.8/utils/pipeline_app.patch
+++ /dev/null
@@ -1,12 +0,0 @@
---- a/pipeline_app.py 2023-11-09 13:36:35
-+++ b/pipeline_app.py 2023-11-09 12:10:35
-@@ -296,7 +296,8 @@
- _validate_pipeline_definition(pipeline_definition)
- except Exception:
- raise click.ClickException("Pipeline validation FAILED.")
--
-+
-+ print_info("Pipeline validation SUCCEEDED.", [])
-
- def validate_timeout_option(ctx, param, value):
- """Callback for monitor-timeout parameter validation"""
diff --git a/jupyter/datascience/ubi8-python-3.8/utils/pipeline_definition.patch b/jupyter/datascience/ubi8-python-3.8/utils/pipeline_definition.patch
deleted file mode 100644
index 6110b643f..000000000
--- a/jupyter/datascience/ubi8-python-3.8/utils/pipeline_definition.patch
+++ /dev/null
@@ -1,12 +0,0 @@
---- a/pipeline_definition.py 2023-11-09 13:36:35
-+++ b/pipeline_definition.py 2023-11-07 20:07:49
-@@ -265,6 +265,9 @@
- if parameter_class is None:
- return None # runtime type does not support parameters, skip
-
-+ if not ElyraProperty.subclass_exists_for_property(parameter_class.property_id):
-+ ElyraProperty.build_property_map()
-+
- # Convert pipeline parameters to runtime-specific instances
- converted_value = ElyraProperty.create_instance(parameter_class.property_id, self.pipeline_parameters)
- if converted_value is not None:
diff --git a/jupyter/datascience/ubi8-python-3.8/utils/processor_kfp.patch b/jupyter/datascience/ubi8-python-3.8/utils/processor_kfp.patch
deleted file mode 100644
index 15c46f1e8..000000000
--- a/jupyter/datascience/ubi8-python-3.8/utils/processor_kfp.patch
+++ /dev/null
@@ -1,28 +0,0 @@
---- a/processor_kfp.py 2023-06-09 10:19:08.882563609 -0400
-+++ b/processor_kfp.py 2024-02-02 00:35:38.064021086 -0500
-@@ -213,6 +213,7 @@
- credentials=auth_info.get("credentials", None),
- existing_token=auth_info.get("existing_token", None),
- namespace=user_namespace,
-+ ssl_ca_cert=auth_info.get("ssl_ca_cert", None),
- )
- else:
- client = ArgoClient(
-@@ -435,7 +436,7 @@
-
- self.log_pipeline_info(
- pipeline_name,
-- f"pipeline submitted: {public_api_endpoint}/#/runs/details/{run.id}",
-+ f"pipeline submitted: {public_api_endpoint}/{run.id}",
- duration=time.time() - t0,
- )
-
-@@ -451,7 +452,7 @@
-
- return KfpPipelineProcessorResponse(
- run_id=run.id,
-- run_url=f"{public_api_endpoint}/#/runs/details/{run.id}",
-+ run_url=f"{public_api_endpoint}/{run.id}",
- object_storage_url=object_storage_url,
- object_storage_path=object_storage_path,
- )
diff --git a/jupyter/minimal/ubi8-python-3.8/Dockerfile b/jupyter/minimal/ubi8-python-3.8/Dockerfile
deleted file mode 100644
index c8361c5c0..000000000
--- a/jupyter/minimal/ubi8-python-3.8/Dockerfile
+++ /dev/null
@@ -1,34 +0,0 @@
-ARG BASE_IMAGE
-FROM ${BASE_IMAGE}
-
-LABEL name="odh-notebook-jupyter-minimal-ubi8-python-3.8" \
- summary="Minimal Jupyter notebook image for ODH notebooks" \
- description="Minimal Jupyter notebook image with base Python 3.8 builder image based on UBI8 for ODH notebooks" \
- io.k8s.display-name="Minimal Jupyter notebook image for ODH notebooks" \
- io.k8s.description="Minimal Jupyter notebook image with base Python 3.8 builder image based on UBI8 for ODH notebooks" \
- authoritative-source-url="https://github.com/opendatahub-io/notebooks" \
- io.openshift.build.commit.ref="main" \
- io.openshift.build.source-location="https://github.com/opendatahub-io/notebooks/tree/main/jupyter/minimal/ubi8-python-3.8" \
- io.openshift.build.image="quay.io/opendatahub/workbench-images:jupyter-minimal-ubi8-python-3.8"
-
-WORKDIR /opt/app-root/bin
-
-COPY utils utils/
-
-COPY Pipfile.lock start-notebook.sh ./
-
-# Install Python dependencies from Pipfile.lock file
-RUN echo "Installing softwares and packages" && micropipenv install && rm -f ./Pipfile.lock && \
- # Disable announcement plugin of jupyterlab \
- jupyter labextension disable "@jupyterlab/apputils-extension:announcements" && \
- # Fix permissions to support pip in Openshift environments \
- chmod -R g+w /opt/app-root/lib/python3.8/site-packages && \
- fix-permissions /opt/app-root -P
-
-WORKDIR /opt/app-root/src
-
-# Replace Notebook's launcher, "(ipykernel)" with Python's version 3.x.y
-RUN sed -i -e "s/Python.*/$(python --version | cut -d '.' -f-2)\",/" /opt/app-root/share/jupyter/kernels/python3/kernel.json
-
-ENTRYPOINT ["start-notebook.sh"]
-
diff --git a/jupyter/minimal/ubi8-python-3.8/Pipfile b/jupyter/minimal/ubi8-python-3.8/Pipfile
deleted file mode 100644
index f57623f45..000000000
--- a/jupyter/minimal/ubi8-python-3.8/Pipfile
+++ /dev/null
@@ -1,24 +0,0 @@
-
-[[source]]
-name = "pypi"
-url = "https://pypi.org/simple"
-verify_ssl = true
-
-[dev-packages]
-
-[packages]
-# JupyterLab packages
-jupyterlab = "~=3.6.7" # Wait on upgrade till plugins are ready
-jupyter-server = "~=2.13.0"
-jupyter-server-proxy = "~=4.0.0" # Upgrade would bring in jupyterlab 4
-jupyter-server-terminals = "~=0.5.3"
-jupyterlab-git = "~=0.44.0"
-nbdime = "~=3.2.1"
-nbgitpuller = "~=1.2.0"
-
-# Base packages
-wheel = "~=0.43.0"
-setuptools = "~=69.2.0"
-
-[requires]
-python_version = "3.8"
diff --git a/jupyter/minimal/ubi8-python-3.8/Pipfile.lock b/jupyter/minimal/ubi8-python-3.8/Pipfile.lock
deleted file mode 100644
index 7b4a7f8a7..000000000
--- a/jupyter/minimal/ubi8-python-3.8/Pipfile.lock
+++ /dev/null
@@ -1,1849 +0,0 @@
-{
- "_meta": {
- "hash": {
- "sha256": "015e0ae9d1c2a990a99290b6db562858670b576c8307802a1d5b2b4f7b73ba1e"
- },
- "pipfile-spec": 6,
- "requires": {
- "python_version": "3.8"
- },
- "sources": [
- {
- "name": "pypi",
- "url": "https://pypi.org/simple",
- "verify_ssl": true
- }
- ]
- },
- "default": {
- "aiofiles": {
- "hashes": [
- "sha256:1142fa8e80dbae46bb6339573ad4c8c0841358f79c6eb50a493dceca14621bad",
- "sha256:9107f1ca0b2a5553987a94a3c9959fe5b491fdf731389aa5b7b1bd0733e32de6"
- ],
- "markers": "python_version >= '3.7' and python_version < '4.0'",
- "version": "==22.1.0"
- },
- "aiohttp": {
- "hashes": [
- "sha256:017a21b0df49039c8f46ca0971b3a7fdc1f56741ab1240cb90ca408049766168",
- "sha256:039df344b45ae0b34ac885ab5b53940b174530d4dd8a14ed8b0e2155b9dddccb",
- "sha256:055ce4f74b82551678291473f66dc9fb9048a50d8324278751926ff0ae7715e5",
- "sha256:06a9b2c8837d9a94fae16c6223acc14b4dfdff216ab9b7202e07a9a09541168f",
- "sha256:07b837ef0d2f252f96009e9b8435ec1fef68ef8b1461933253d318748ec1acdc",
- "sha256:0ed621426d961df79aa3b963ac7af0d40392956ffa9be022024cd16297b30c8c",
- "sha256:0fa43c32d1643f518491d9d3a730f85f5bbaedcbd7fbcae27435bb8b7a061b29",
- "sha256:1f5a71d25cd8106eab05f8704cd9167b6e5187bcdf8f090a66c6d88b634802b4",
- "sha256:1f5cd333fcf7590a18334c90f8c9147c837a6ec8a178e88d90a9b96ea03194cc",
- "sha256:27468897f628c627230dba07ec65dc8d0db566923c48f29e084ce382119802bc",
- "sha256:298abd678033b8571995650ccee753d9458dfa0377be4dba91e4491da3f2be63",
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- "sha256:361a1026c9dd4aba0109e4040e2aecf9884f5cfe1b1b1bd3d09419c205e2e53d",
- "sha256:363afe77cfcbe3a36353d8ea133e904b108feea505aa4792dad6585a8192c55a",
- "sha256:38a19bc3b686ad55804ae931012f78f7a534cce165d089a2059f658f6c91fa60",
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- "argon2-cffi-bindings": {
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- "arrow": {
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- "asttokens": {
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- "version": "==2.4.1"
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- "hashes": [
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- "markers": "python_version < '3.11'",
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- "attrs": {
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- "markers": "python_version >= '3.7'",
- "version": "==23.2.0"
- },
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- "sha256:e516dc8baf7b380e6c1c26792610230f37147bb754d6426462ab115a02944385",
- "sha256:ea65804b5dc88dacd4a40279af0cdadcfe74b3e5b4c897aa0d81cf86927fee78",
- "sha256:ec61d826d80fc293ed46c9dd26995921e3a82146feacd952ef0757236fc137be",
- "sha256:ee04010f26d5102399bd17f8df8bc38dc7ccd7701dc77f4a68c5b8d733406958",
- "sha256:f3bc6af6e2b8f92eced34ef6a96ffb248e863af20ef4fde9448cc8c9b858b749",
- "sha256:f7d6b36dd2e029b6bcb8a13cf19664c7b8e19ab3a58e0fefbb5b8461447ed5ec"
- ],
- "markers": "python_version >= '3.7'",
- "version": "==1.9.4"
- },
- "ypy-websocket": {
- "hashes": [
- "sha256:43a001473f5c8abcf182f603049cf305cbc855ad8deaa9dfa0f3b5a7cea9d0ff",
- "sha256:b1ba0dfcc9762f0ca168d2378062d3ca1299d39076b0f145d961359121042be5"
- ],
- "markers": "python_version >= '3.7'",
- "version": "==0.8.4"
- },
- "zipp": {
- "hashes": [
- "sha256:c1bb803ed69d2cce2373152797064f7e79bc43f0a3748eb494096a867e0ebf79",
- "sha256:df8d042b02765029a09b157efd8e820451045890acc30f8e37dd2f94a060221f"
- ],
- "markers": "python_version < '3.10'",
- "version": "==3.18.0"
- }
- },
- "develop": {}
-}
diff --git a/jupyter/minimal/ubi8-python-3.8/kustomize/base/kustomization.yaml b/jupyter/minimal/ubi8-python-3.8/kustomize/base/kustomization.yaml
deleted file mode 100644
index 51a849b62..000000000
--- a/jupyter/minimal/ubi8-python-3.8/kustomize/base/kustomization.yaml
+++ /dev/null
@@ -1,13 +0,0 @@
----
-apiVersion: kustomize.config.k8s.io/v1beta1
-kind: Kustomization
-namePrefix: jupyter-minimal-ubi8-python-3-8-
-commonLabels:
- app: jupyter-minimal-ubi8-python-3-8
-resources:
- - service.yaml
- - statefulset.yaml
-images:
- - name: quay.io/opendatahub/workbench-images
- newName: quay.io/opendatahub/workbench-images
- newTag: jupyter-minimal-ubi8-python-3.8
diff --git a/jupyter/minimal/ubi8-python-3.8/kustomize/base/service.yaml b/jupyter/minimal/ubi8-python-3.8/kustomize/base/service.yaml
deleted file mode 100644
index d6f7128e8..000000000
--- a/jupyter/minimal/ubi8-python-3.8/kustomize/base/service.yaml
+++ /dev/null
@@ -1,15 +0,0 @@
----
-apiVersion: v1
-kind: Service
-metadata:
- name: notebook
- labels:
- app: notebook
-spec:
- type: ClusterIP
- ports:
- - port: 8888
- protocol: TCP
- targetPort: notebook-port
- selector:
- app: notebook
diff --git a/jupyter/minimal/ubi8-python-3.8/kustomize/base/statefulset.yaml b/jupyter/minimal/ubi8-python-3.8/kustomize/base/statefulset.yaml
deleted file mode 100644
index 51ab53e7b..000000000
--- a/jupyter/minimal/ubi8-python-3.8/kustomize/base/statefulset.yaml
+++ /dev/null
@@ -1,58 +0,0 @@
----
-apiVersion: apps/v1
-kind: StatefulSet
-metadata:
- name: notebook
- annotations:
- opendatahub.io/username: jovyan
- labels:
- opendatahub.io/user: jovyan
-spec:
- replicas: 1
- selector: {}
- serviceName: notebook
- template:
- metadata:
- labels: {}
- spec:
- containers:
- - name: notebook
- image: quay.io/opendatahub/workbench-images:jupyter-minimal-ubi8-python-3.8
- imagePullPolicy: Always
- workingDir: /opt/app-root/src
- env:
- - name: NOTEBOOK_ARGS
- value: |-
- --ServerApp.port=8888
- --ServerApp.token=''
- --ServerApp.password=''
- --ServerApp.base_url=/notebook/opendatahub/jovyan
- --ServerApp.quit_button=False
- --ServerApp.tornado_settings={"user":"jovyan","hub_host":"https://opendatahub.io","hub_prefix":"/notebookController/jovyan"}
- ports:
- - name: notebook-port
- protocol: TCP
- containerPort: 8888
- livenessProbe:
- tcpSocket:
- port: notebook-port
- initialDelaySeconds: 5
- periodSeconds: 5
- successThreshold: 1
- failureThreshold: 3
- readinessProbe:
- httpGet:
- path: /notebook/opendatahub/jovyan/api
- port: notebook-port
- scheme: HTTP
- initialDelaySeconds: 10
- periodSeconds: 5
- successThreshold: 1
- failureThreshold: 3
- resources:
- limits:
- cpu: 500m
- memory: 2Gi
- requests:
- cpu: 500m
- memory: 2Gi
diff --git a/jupyter/minimal/ubi8-python-3.8/start-notebook.sh b/jupyter/minimal/ubi8-python-3.8/start-notebook.sh
deleted file mode 100755
index f165c7de8..000000000
--- a/jupyter/minimal/ubi8-python-3.8/start-notebook.sh
+++ /dev/null
@@ -1,40 +0,0 @@
-#!/usr/bin/env bash
-
-# Load bash libraries
-SCRIPT_DIR=/opt/app-root/bin
-source ${SCRIPT_DIR}/utils/process.sh
-
-if [ -f "${SCRIPT_DIR}/utils/setup-elyra.sh" ]; then
- source ${SCRIPT_DIR}/utils/setup-elyra.sh
-fi
-
-# Initialize notebooks arguments variable
-NOTEBOOK_PROGRAM_ARGS=""
-
-# Set default ServerApp.port value if NOTEBOOK_PORT variable is defined
-if [ -n "${NOTEBOOK_PORT}" ]; then
- NOTEBOOK_PROGRAM_ARGS+="--ServerApp.port=${NOTEBOOK_PORT} "
-fi
-
-# Set default ServerApp.base_url value if NOTEBOOK_BASE_URL variable is defined
-if [ -n "${NOTEBOOK_BASE_URL}" ]; then
- NOTEBOOK_PROGRAM_ARGS+="--ServerApp.base_url=${NOTEBOOK_BASE_URL} "
-fi
-
-# Set default ServerApp.root_dir value if NOTEBOOK_ROOT_DIR variable is defined
-if [ -n "${NOTEBOOK_ROOT_DIR}" ]; then
- NOTEBOOK_PROGRAM_ARGS+="--ServerApp.root_dir=${NOTEBOOK_ROOT_DIR} "
-else
- NOTEBOOK_PROGRAM_ARGS+="--ServerApp.root_dir=${HOME} "
-fi
-
-# Add additional arguments if NOTEBOOK_ARGS variable is defined
-if [ -n "${NOTEBOOK_ARGS}" ]; then
- NOTEBOOK_PROGRAM_ARGS+=${NOTEBOOK_ARGS}
-fi
-
-# Start the JupyterLab notebook
-start_process jupyter lab ${NOTEBOOK_PROGRAM_ARGS} \
- --ServerApp.ip=0.0.0.0 \
- --ServerApp.allow_origin="*" \
- --ServerApp.open_browser=False
diff --git a/jupyter/minimal/ubi8-python-3.8/test/test_notebook.ipynb b/jupyter/minimal/ubi8-python-3.8/test/test_notebook.ipynb
deleted file mode 100644
index 525ce93a8..000000000
--- a/jupyter/minimal/ubi8-python-3.8/test/test_notebook.ipynb
+++ /dev/null
@@ -1,52 +0,0 @@
-{
- "cells": [
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "import unittest\n",
- "import jupyterlab as jp\n",
- "from platform import python_version\n",
- "import nbdime\n",
- "import nbgitpuller\n",
- "\n",
- "def get_major_minor(s):\n",
- " return '.'.join(s.split('.')[:2])\n",
- "\n",
- "class TestPythonVersion(unittest.TestCase):\n",
- " def test_version(self):\n",
- " expected_major_minor = '3.8'\n",
- " actual_major_minor = get_major_minor(python_version())\n",
- " self.assertEqual(actual_major_minor, expected_major_minor, \"incorrect version\")\n",
- "\n",
- "class TestDependenciesVersions(unittest.TestCase):\n",
- " def test_jupyter_version(self):\n",
- " expected_major_minor = '3.6'\n",
- " actual_major_minor = get_major_minor(jp.__version__)\n",
- " self.assertEqual(actual_major_minor, expected_major_minor, \"incorrect version\")\n",
- "\n",
- " def test_nbgitpuller_version(self):\n",
- " expected_major_minor = '1.2'\n",
- " actual_major_minor = get_major_minor(nbgitpuller.__version__)\n",
- " self.assertEqual(actual_major_minor, expected_major_minor, \"incorrect version\")\n",
- "\n",
- " def test_nbdime_version(self):\n",
- " expected_major_minor = '3.2'\n",
- " actual_major_minor = get_major_minor(nbdime.__version__)\n",
- " self.assertEqual(actual_major_minor, expected_major_minor, \"incorrect version\")\n",
- "\n",
- "unittest.main(argv=[''], verbosity=2, exit=False)"
- ]
- }
- ],
- "metadata": {
- "language_info": {
- "name": "python"
- },
- "orig_nbformat": 4
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}
diff --git a/jupyter/minimal/ubi8-python-3.8/utils/process.sh b/jupyter/minimal/ubi8-python-3.8/utils/process.sh
deleted file mode 100644
index 4da716a9f..000000000
--- a/jupyter/minimal/ubi8-python-3.8/utils/process.sh
+++ /dev/null
@@ -1,19 +0,0 @@
-#!/usr/bin/env bash
-
-function start_process() {
- trap stop_process TERM INT
-
- echo "Running command: $@"
- "$@" &
-
- PID=$!
- wait $PID
- trap - TERM INT
- wait $PID
- STATUS=$?
- exit $STATUS
-}
-
-function stop_process() {
- kill -TERM $PID
-}
diff --git a/runtimes/datascience/ubi8-python-3.8/Dockerfile b/runtimes/datascience/ubi8-python-3.8/Dockerfile
deleted file mode 100644
index d3e60cadb..000000000
--- a/runtimes/datascience/ubi8-python-3.8/Dockerfile
+++ /dev/null
@@ -1,28 +0,0 @@
-ARG BASE_IMAGE
-FROM ${BASE_IMAGE}
-
-LABEL name="odh-notebook-runtime-datascience-ubi8-python-3.8" \
- summary="Runtime data science notebook image for ODH notebooks" \
- description="Runtime data science notebook image with base Python 3.8 builder image based on UBI8 for ODH notebooks" \
- io.k8s.display-name="Runtime data science notebook image for ODH notebooks" \
- io.k8s.description="Runtime data science notebook image with base Python 3.8 builder image based on UBI8 for ODH notebooks" \
- authoritative-source-url="https://github.com/opendatahub-io/notebooks" \
- io.openshift.build.commit.ref="main" \
- io.openshift.build.source-location="https://github.com/opendatahub-io/notebooks/tree/main/runtimes/datascience/ubi8-python-3.8" \
- io.openshift.build.image="quay.io/opendatahub/workbench-images:runtime-datascience-ubi8-python-3.8"
-
-WORKDIR /opt/app-root/bin
-
-# Install Python packages from Pipfile.lock
-COPY Pipfile.lock ./
-# Copy Elyra dependencies for air-gapped enviroment
-COPY utils ./utils/
-
-RUN echo "Installing softwares and packages" && \
- micropipenv install && \
- rm -f ./Pipfile.lock && \
- # Fix permissions to support pip in Openshift environments \
- chmod -R g+w /opt/app-root/lib/python3.8/site-packages && \
- fix-permissions /opt/app-root -P
-
-WORKDIR /opt/app-root/src
diff --git a/runtimes/datascience/ubi8-python-3.8/Pipfile b/runtimes/datascience/ubi8-python-3.8/Pipfile
deleted file mode 100644
index 88b6dbb54..000000000
--- a/runtimes/datascience/ubi8-python-3.8/Pipfile
+++ /dev/null
@@ -1,46 +0,0 @@
-[[source]]
-url = "https://pypi.org/simple"
-verify_ssl = true
-name = "pypi"
-
-[dev-packages]
-
-[packages]
-# Datascience and useful extensions
-boto3 = "~=1.34.50"
-kafka-python = "~=2.0.2"
-matplotlib = "~=3.7.5"
-numpy = "~=1.24.4" # Last version to support Python 3.8
-pandas = "~=2.0.3"
-plotly = "~=5.20.0"
-scikit-learn = "~=1.3.2"
-scipy = "~=1.10.1"
-skl2onnx = "~=1.16.0"
-codeflare-sdk = "~=0.16.3"
-# DB connectors
-pymongo = "~=4.6.2"
-psycopg = "~=3.1.18"
-pyodbc = "~=5.1.0"
-mysql-connector-python = "~=8.3.0"
-# This is a comprehensive list of python dependencies that Elyra requires to execute Jupyter notebooks.
-ipykernel = "==6.13.0"
-ipython = "==8.10.0"
-ipython-genutils = "==0.2.0"
-jinja2 = "==3.1.4"
-jupyter-client = "==7.3.1"
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diff --git a/runtimes/datascience/ubi8-python-3.8/Pipfile.lock b/runtimes/datascience/ubi8-python-3.8/Pipfile.lock
deleted file mode 100644
index b9eb51640..000000000
--- a/runtimes/datascience/ubi8-python-3.8/Pipfile.lock
+++ /dev/null
@@ -1,2976 +0,0 @@
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-}
diff --git a/runtimes/datascience/ubi8-python-3.8/kustomize/base/kustomization.yaml b/runtimes/datascience/ubi8-python-3.8/kustomize/base/kustomization.yaml
deleted file mode 100644
index dc37ebff5..000000000
--- a/runtimes/datascience/ubi8-python-3.8/kustomize/base/kustomization.yaml
+++ /dev/null
@@ -1,14 +0,0 @@
----
-apiVersion: kustomize.config.k8s.io/v1beta1
-kind: Kustomization
-namePrefix: runtime-
-resources:
- - pod.yaml
-images:
- - name: runtime-workbench
- newName: quay.io/opendatahub/workbench-images
- newTag: runtime-datascience-ubi8-python-3.8
-configMapGenerator:
- - name: req-config
- files:
- - requirements-elyra.txt
diff --git a/runtimes/datascience/ubi8-python-3.8/kustomize/base/pod.yaml b/runtimes/datascience/ubi8-python-3.8/kustomize/base/pod.yaml
deleted file mode 100644
index bc5343566..000000000
--- a/runtimes/datascience/ubi8-python-3.8/kustomize/base/pod.yaml
+++ /dev/null
@@ -1,29 +0,0 @@
----
-apiVersion: v1
-kind: Pod
-metadata:
- name: pod
- labels:
- app: runtime-image
-spec:
- containers:
- - name: runtime
- image: runtime-workbench
- command: ["/bin/sh", "-c", "while true ; do date; sleep 1; done;"]
- imagePullPolicy: Always
- ports:
- - containerPort: 8080
- resources:
- limits:
- cpu: 500m
- memory: 500Mi
- requests:
- cpu: 500m
- memory: 500Mi
- volumeMounts:
- - name: config
- mountPath: /opt/app-root/elyra
- volumes:
- - name: config
- configMap:
- name: req-config
diff --git a/runtimes/datascience/ubi8-python-3.8/kustomize/base/requirements-elyra.txt b/runtimes/datascience/ubi8-python-3.8/kustomize/base/requirements-elyra.txt
deleted file mode 100644
index 91fb8e57d..000000000
--- a/runtimes/datascience/ubi8-python-3.8/kustomize/base/requirements-elyra.txt
+++ /dev/null
@@ -1,20 +0,0 @@
-# This is a comprehensive list of python dependencies that Elyra requires to execute Jupyter notebooks.
-# This is copied from elyra directly: https://github.com/elyra-ai/elyra/blob/main/etc/generic/requirements-elyra.txt
-ipykernel==6.13.0
-ipython==8.10.0
-ipython-genutils==0.2.0
-jinja2==3.1.4
-jupyter-client==7.3.1
-jupyter-core==4.11.2
-MarkupSafe==2.1.1
-minio==7.1.15
-nbclient==0.6.3
-nbconvert==7.1.0
-nbformat==5.4.0
-papermill==2.3.4
-pyzmq==24.0.1
-prompt-toolkit==3.0.30
-requests==2.31.0
-tornado==6.3.3
-traitlets==5.1.1
-urllib3==1.26.18
diff --git a/runtimes/datascience/ubi8-python-3.8/utils/bootstrapper.py b/runtimes/datascience/ubi8-python-3.8/utils/bootstrapper.py
deleted file mode 100644
index 34a39cdcc..000000000
--- a/runtimes/datascience/ubi8-python-3.8/utils/bootstrapper.py
+++ /dev/null
@@ -1,769 +0,0 @@
-# Copied from: https://github.com/elyra-ai/elyra/blob/main/elyra/kfp/bootstrapper.py
-#
-# Copyright 2018-2023 Elyra Authors
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-# http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-from abc import ABC
-from abc import abstractmethod
-import glob
-import json
-import logging
-import os
-from pathlib import Path
-import subprocess
-import sys
-from tempfile import TemporaryFile
-import time
-from typing import Any
-from typing import Dict
-from typing import Optional
-from typing import Type
-from typing import TypeVar
-from urllib.parse import urljoin
-from urllib.parse import urlparse
-from urllib.parse import urlunparse
-
-from packaging import version
-
-
-# Inputs and Outputs separator character. If updated,
-# same-named variable in _notebook_op.py must be updated!
-INOUT_SEPARATOR = ";"
-
-# Setup forward reference for type hint on return from class factory method. See
-# https://stackoverflow.com/questions/39205527/can-you-annotate-return-type-when-value-is-instance-of-cls/39205612#39205612
-F = TypeVar("F", bound="FileOpBase")
-
-logger = logging.getLogger("elyra")
-enable_pipeline_info = os.getenv("ELYRA_ENABLE_PIPELINE_INFO", "true").lower() == "true"
-pipeline_name = None # global used in formatted logging
-operation_name = None # global used in formatted logging
-
-
-class FileOpBase(ABC):
- """Abstract base class for file-based operations"""
-
- filepath = None
- cos_client = None
- cos_bucket = None
-
- @classmethod
- def get_instance(cls: Type[F], **kwargs: Any) -> F:
- """Creates an appropriate subclass instance based on the extension of the filepath (-f) argument"""
- filepath = kwargs["filepath"]
- if ".ipynb" in filepath:
- return NotebookFileOp(**kwargs)
- elif ".py" in filepath:
- return PythonFileOp(**kwargs)
- elif ".r" in filepath:
- return RFileOp(**kwargs)
- else:
- raise ValueError(f"Unsupported file type: {filepath}")
-
- def __init__(self, **kwargs: Any) -> None:
- """Initializes the FileOpBase instance"""
- import minio
- from minio.credentials import providers
-
- self.filepath = kwargs["filepath"]
- self.input_params = kwargs or {}
- self.cos_endpoint = urlparse(self.input_params.get("cos-endpoint"))
- self.cos_bucket = self.input_params.get("cos-bucket")
-
- self.parameter_pass_method = self.input_params.get("parameter_pass_method")
- self.pipeline_param_dict = self.convert_param_str_to_dict(self.input_params.get("pipeline_parameters"))
-
- # Infer secure from the endpoint's scheme.
- self.secure = self.cos_endpoint.scheme == "https"
-
- # get minio credentials provider
- if "cos-user" in self.input_params and "cos-password" in self.input_params:
- cred_provider = providers.StaticProvider(
- access_key=self.input_params.get("cos-user"),
- secret_key=self.input_params.get("cos-password"),
- )
- elif "AWS_ACCESS_KEY_ID" in os.environ and "AWS_SECRET_ACCESS_KEY" in os.environ:
- cred_provider = providers.EnvAWSProvider()
- elif "AWS_ROLE_ARN" in os.environ and "AWS_WEB_IDENTITY_TOKEN_FILE" in os.environ:
- cred_provider = providers.IamAwsProvider()
- else:
- raise RuntimeError(
- "No minio credentials provider can be initialised for current configs. "
- "Please validate your runtime configuration details and retry."
- )
-
- # get minio client
- self.cos_client = minio.Minio(self.cos_endpoint.netloc, secure=self.secure, credentials=cred_provider)
-
- @abstractmethod
- def execute(self) -> None:
- """Execute the operation relative to derived class"""
- raise NotImplementedError("Method 'execute()' must be implemented by subclasses!")
-
- def process_dependencies(self) -> None:
- """Process dependencies
-
- If a dependency archive is present, it will be downloaded from object storage
- and expanded into the local directory.
-
- This method can be overridden by subclasses, although overrides should first
- call the superclass method.
- """
- OpUtil.log_operation_info("processing dependencies")
- t0 = time.time()
- archive_file = self.input_params.get("cos-dependencies-archive")
-
- self.get_file_from_object_storage(archive_file)
-
- inputs = self.input_params.get("inputs")
- if inputs:
- input_list = inputs.split(INOUT_SEPARATOR)
- for file in input_list:
- self.get_file_from_object_storage(file.strip())
-
- subprocess.call(["tar", "-zxvf", archive_file])
- duration = time.time() - t0
- OpUtil.log_operation_info("dependencies processed", duration)
-
- def process_outputs(self) -> None:
- """Process outputs
-
- If outputs have been specified, it will upload the appropriate files to object storage
-
- This method can be overridden by subclasses, although overrides should first
- call the superclass method.
- """
- OpUtil.log_operation_info("processing outputs")
- t0 = time.time()
- outputs = self.input_params.get("outputs")
- if outputs:
- output_list = outputs.split(INOUT_SEPARATOR)
- for file in output_list:
- self.process_output_file(file.strip())
- duration = time.time() - t0
- OpUtil.log_operation_info("outputs processed", duration)
-
- def process_metrics_and_metadata(self) -> None:
- """Process metrics and metadata
-
- This method exposes metrics/metadata that the processed
- notebook | script produces in the KFP UI.
-
- This method should not be overridden by subclasses.
- """
-
- OpUtil.log_operation_info("processing metrics and metadata")
- t0 = time.time()
-
- # Location where the KFP specific output files will be stored
- # in the environment where the bootsrapper is running.
- # Defaults to '/tmp' if not specified.
- output_path = Path(os.getenv("ELYRA_WRITABLE_CONTAINER_DIR", "/tmp"))
-
- # verify that output_path exists, is a directory
- # and writable by creating a temporary file in that location
- try:
- with TemporaryFile(mode="w", dir=output_path) as t:
- t.write("can write")
- except Exception:
- # output_path doesn't meet the requirements
- # treat this as a non-fatal error and log a warning
- logger.warning(f'Cannot create files in "{output_path}".')
- OpUtil.log_operation_info("Aborted metrics and metadata processing", time.time() - t0)
- return
-
- # Name of the proprietary KFP UI metadata file.
- # Notebooks | scripts might (but don't have to) produce this file
- # as documented in
- # https://www.kubeflow.org/docs/pipelines/sdk/output-viewer/
- # Each ExecuteFileOp must declare this as an output file or
- # the KFP UI won't pick up the information.
- kfp_ui_metadata_filename = "mlpipeline-ui-metadata.json"
-
- # Name of the proprietary KFP metadata file.
- # Notebooks | scripts might (but don't have to) produce this file
- # as documented in
- # https://www.kubeflow.org/docs/pipelines/sdk/pipelines-metrics/
- # Each ExecuteFileOp must declare this as an output file or
- # the KFP UI won't pick up the information.
- kfp_metrics_filename = "mlpipeline-metrics.json"
-
- # If the notebook | Python script produced one of the files
- # copy it to the target location where KFP is looking for it.
- for filename in [kfp_ui_metadata_filename, kfp_metrics_filename]:
- try:
- src = Path(".") / filename
- logger.debug(f"Processing {src} ...")
- # try to load the file, if one was created by the
- # notebook or script
- with open(src, "r") as f:
- metadata = json.load(f)
-
- # the file exists and contains valid JSON
- logger.debug(f"File content: {json.dumps(metadata)}")
-
- target = output_path / filename
- # try to save the file in the destination location
- with open(target, "w") as f:
- json.dump(metadata, f)
- except FileNotFoundError:
- # The script | notebook didn't produce the file
- # we are looking for. This is not an error condition
- # that needs to be handled.
- logger.debug(f"{self.filepath} produced no file named {src}")
- except ValueError as ve:
- # The file content could not be parsed. Log a warning
- # and treat this as a non-fatal error.
- logger.warning(f"Ignoring incompatible {str(src)} produced by {self.filepath}: {ve} {str(ve)}")
- except Exception as ex:
- # Something is wrong with the user-generated metadata file.
- # Log a warning and treat this as a non-fatal error.
- logger.warning(f"Error processing {str(src)} produced by {self.filepath}: {ex} {str(ex)}")
-
- #
- # Augment kfp_ui_metadata_filename with Elyra-specific information:
- # - link to object storage where input and output artifacts are
- # stored
- ui_metadata_output = output_path / kfp_ui_metadata_filename
- try:
- # re-load the file
- with open(ui_metadata_output, "r") as f:
- metadata = json.load(f)
- except Exception:
- # ignore all errors
- metadata = {}
-
- # Assure the 'output' property exists and is of the correct type
- if metadata.get("outputs", None) is None or not isinstance(metadata["outputs"], list):
- metadata["outputs"] = []
-
- # Define HREF for COS bucket:
- # //
- bucket_url = urljoin(
- urlunparse(self.cos_endpoint), f"{self.cos_bucket}/{self.input_params.get('cos-directory', '')}/"
- )
-
- # add Elyra metadata to 'outputs'
- metadata["outputs"].append(
- {
- "storage": "inline",
- "source": f"## Inputs for {self.filepath}\n"
- f"[{self.input_params['cos-dependencies-archive']}]({bucket_url})",
- "type": "markdown",
- }
- )
-
- # print the content of the augmented metadata file
- logger.debug(f"Output UI metadata: {json.dumps(metadata)}")
-
- logger.debug(f"Saving UI metadata file as {ui_metadata_output} ...")
-
- # Save [updated] KFP UI metadata file
- with open(ui_metadata_output, "w") as f:
- json.dump(metadata, f)
-
- duration = time.time() - t0
- OpUtil.log_operation_info("metrics and metadata processed", duration)
-
- def get_object_storage_filename(self, filename: str) -> str:
- """Function to pre-pend cloud storage working dir to file name
-
- :param filename: the local file
- :return: the full path of the object storage file
- """
- return os.path.join(self.input_params.get("cos-directory", ""), filename)
-
- def get_file_from_object_storage(self, file_to_get: str) -> None:
- """Utility function to get files from an object storage
-
- :param file_to_get: filename
- """
-
- object_to_get = self.get_object_storage_filename(file_to_get)
- t0 = time.time()
- self.cos_client.fget_object(bucket_name=self.cos_bucket, object_name=object_to_get, file_path=file_to_get)
- duration = time.time() - t0
- OpUtil.log_operation_info(
- f"downloaded {file_to_get} from bucket: {self.cos_bucket}, object: {object_to_get}", duration
- )
-
- def put_file_to_object_storage(self, file_to_upload: str, object_name: Optional[str] = None) -> None:
- """Utility function to put files into an object storage
-
- :param file_to_upload: filename
- :param object_name: remote filename (used to rename)
- """
-
- object_to_upload = object_name
- if not object_to_upload:
- object_to_upload = file_to_upload
-
- object_to_upload = self.get_object_storage_filename(object_to_upload)
- t0 = time.time()
- self.cos_client.fput_object(bucket_name=self.cos_bucket, object_name=object_to_upload, file_path=file_to_upload)
- duration = time.time() - t0
- OpUtil.log_operation_info(
- f"uploaded {file_to_upload} to bucket: {self.cos_bucket} object: {object_to_upload}", duration
- )
-
- def has_wildcard(self, filename):
- wildcards = ["*", "?"]
- return bool(any(c in filename for c in wildcards))
-
- def process_output_file(self, output_file):
- """Puts the file to object storage. Handles wildcards and directories."""
-
- matched_files = [output_file]
- if self.has_wildcard(output_file): # explode the wildcarded file
- matched_files = glob.glob(output_file)
-
- for matched_file in matched_files:
- if os.path.isdir(matched_file):
- for file in os.listdir(matched_file):
- self.process_output_file(os.path.join(matched_file, file))
- else:
- self.put_file_to_object_storage(matched_file)
-
- def convert_param_str_to_dict(self, pipeline_parameters: Optional[str] = None) -> Dict[str, Any]:
- """Convert INOUT-separated string of pipeline parameters into a dictionary."""
- parameter_dict = {}
- if pipeline_parameters:
- parameter_list = pipeline_parameters.split(INOUT_SEPARATOR)
- for parameter in parameter_list:
- param_name, value = parameter.split("=", 1)
- if self.parameter_pass_method == "env" and (not value or not isinstance(value, str)):
- continue # env vars must be non-empty strings
- parameter_dict[param_name] = value
- return parameter_dict
-
- def set_parameters_in_env(self) -> None:
- """Make pipeline parameters available as environment variables."""
- for name, value in self.pipeline_param_dict.items():
- if name in os.environ:
- continue # avoid overwriting env vars with the same name
- os.environ[name] = value
-
-
-class NotebookFileOp(FileOpBase):
- """Perform Notebook File Operation"""
-
- def execute(self) -> None:
- """Execute the Notebook and upload results to object storage"""
- notebook = os.path.basename(self.filepath)
- notebook_name = notebook.replace(".ipynb", "")
- notebook_output = f"{notebook_name}-output.ipynb"
- notebook_html = f"{notebook_name}.html"
-
- try:
- OpUtil.log_operation_info(f"executing notebook using 'papermill {notebook} {notebook_output}'")
- t0 = time.time()
- # Include kernel selection in execution time
- kernel_name = NotebookFileOp.find_best_kernel(notebook)
-
- kwargs = {}
- if self.parameter_pass_method == "env":
- self.set_parameters_in_env()
-
- import papermill
-
- papermill.execute_notebook(notebook, notebook_output, kernel_name=kernel_name, **kwargs)
- duration = time.time() - t0
- OpUtil.log_operation_info("notebook execution completed", duration)
-
- NotebookFileOp.convert_notebook_to_html(notebook_output, notebook_html)
- self.put_file_to_object_storage(notebook_output, notebook)
- self.put_file_to_object_storage(notebook_html)
- self.process_outputs()
- except Exception as ex:
- # log in case of errors
- logger.error(f"Unexpected error: {sys.exc_info()[0]}")
-
- NotebookFileOp.convert_notebook_to_html(notebook_output, notebook_html)
- self.put_file_to_object_storage(notebook_output, notebook)
- self.put_file_to_object_storage(notebook_html)
- raise ex
-
- @staticmethod
- def convert_notebook_to_html(notebook_file: str, html_file: str) -> str:
- """Function to convert a Jupyter notebook file (.ipynb) into an html file
-
- :param notebook_file: object storage client
- :param html_file: name of what the html output file should be
- :return: html_file: the converted notebook in html format
- """
- import nbconvert
- import nbformat
-
- OpUtil.log_operation_info(f"converting from {notebook_file} to {html_file}")
- t0 = time.time()
- nb = nbformat.read(notebook_file, as_version=4)
- html_exporter = nbconvert.HTMLExporter()
- data, resources = html_exporter.from_notebook_node(nb)
- with open(html_file, "w") as f:
- f.write(data)
- f.close()
-
- duration = time.time() - t0
- OpUtil.log_operation_info(f"{notebook_file} converted to {html_file}", duration)
- return html_file
-
- @staticmethod
- def find_best_kernel(notebook_file: str) -> str:
- """Determines the best kernel to use via the following algorithm:
-
- 1. Loads notebook and gets kernel_name and kernel_language from NB metadata.
- 2. Gets the list of configured kernels using KernelSpecManager.
- 3. If notebook kernel_name is in list, use that, else
- 4. If not found, load each configured kernel.json file and find a language match.
- 5. On first match, log info message regarding the switch and use that kernel.
- 6. If no language match is found, revert to notebook kernel and log warning message.
- """
- from jupyter_client.kernelspec import KernelSpecManager
- import nbformat
-
- nb = nbformat.read(notebook_file, 4)
-
- nb_kspec = nb.metadata.kernelspec
- nb_kernel_name = nb_kspec.get("name")
- nb_kernel_lang = nb_kspec.get("language")
-
- kernel_specs = KernelSpecManager().find_kernel_specs()
-
- # see if we have a direct match...
- if nb_kernel_name in kernel_specs.keys():
- return nb_kernel_name
-
- # no match found for kernel, try matching language...
- for name, file in kernel_specs.items():
- # load file (JSON) and pick out language, if match, use first found
- with open(os.path.join(file, "kernel.json")) as f:
- kspec = json.load(f)
- if kspec.get("language").lower() == nb_kernel_lang.lower():
- matched_kernel = os.path.basename(file)
- logger.info(
- f"Matched kernel by language ({nb_kernel_lang}), using kernel "
- f"'{matched_kernel}' instead of the missing kernel '{nb_kernel_name}'."
- )
- return matched_kernel
-
- # no match found for language, return notebook kernel and let execution fail
- logger.warning(
- f"Reverting back to missing notebook kernel '{nb_kernel_name}' since no "
- f"language match ({nb_kernel_lang}) was found in current kernel specifications."
- )
- return nb_kernel_name
-
-
-class PythonFileOp(FileOpBase):
- """Perform Python File Operation"""
-
- def execute(self) -> None:
- """Execute the Python script and upload results to object storage"""
- python_script = os.path.basename(self.filepath)
- python_script_name = python_script.replace(".py", "")
- # python_script_output = f"{python_script_name}.log"
-
- try:
- OpUtil.log_operation_info(
- f"executing python script using 'python3 {python_script}'"
- )
- t0 = time.time()
-
- run_args = ["python3", python_script]
- if self.parameter_pass_method == "env":
- self.set_parameters_in_env()
-
- logger.info("----------------------Python logs start----------------------")
- # Removing support for the s3 storage of python script logs
- # with open(python_script_output, "w") as log_file:
- # process = subprocess.Popen(run_args, stdout=subprocess.PIPE, stderr=subprocess.STDOUT)
- process = subprocess.Popen(run_args, stdout=subprocess.PIPE, stderr=subprocess.STDOUT)
-
- for line in iter(process.stdout.readline, b''):
- sys.stdout.write(line.decode())
-
- process.stdout.close()
- return_code = process.wait()
- logger.info("----------------------Python logs ends----------------------")
- if return_code:
- raise subprocess.CalledProcessError(return_code, run_args)
- duration = time.time() - t0
- OpUtil.log_operation_info("python script execution completed", duration)
-
- # self.put_file_to_object_storage(python_script_output, python_script_output)
- self.process_outputs()
- except Exception as ex:
- # log in case of errors
- logger.error(f"Unexpected error: {sys.exc_info()[0]}")
- logger.error(f"Error details: {ex}")
-
- # self.put_file_to_object_storage(python_script_output, python_script_output)
- raise ex
-
-
-class RFileOp(FileOpBase):
- """Perform R File Operation"""
-
- def execute(self) -> None:
- """Execute the R script and upload results to object storage"""
- r_script = os.path.basename(self.filepath)
- r_script_name = r_script.replace(".r", "")
- # r_script_output = f"{r_script_name}.log"
-
- try:
- OpUtil.log_operation_info(f"executing R script using 'Rscript {r_script}'")
- t0 = time.time()
-
- run_args = ["Rscript", r_script]
- if self.parameter_pass_method == "env":
- self.set_parameters_in_env()
-
- logger.info("----------------------R script logs start----------------------")
- # Removing support for the s3 storage of R script logs
- # with open(r_script_output, "w") as log_file:
- # process = subprocess.Popen(run_args, stdout=subprocess.PIPE, stderr=subprocess.STDOUT)
- process = subprocess.Popen(run_args, stdout=subprocess.PIPE, stderr=subprocess.STDOUT)
-
- for line in iter(process.stdout.readline, b''):
- sys.stdout.write(line.decode())
-
- process.stdout.close()
- return_code = process.wait()
- logger.info("----------------------R script logs ends----------------------")
- if return_code:
- raise subprocess.CalledProcessError(return_code, run_args)
-
- duration = time.time() - t0
- OpUtil.log_operation_info("R script execution completed", duration)
-
- # self.put_file_to_object_storage(r_script_output, r_script_output)
- self.process_outputs()
- except Exception as ex:
- # log in case of errors
- logger.error(f"Unexpected error: {sys.exc_info()[0]}")
- logger.error(f"Error details: {ex}")
-
- # self.put_file_to_object_storage(r_script_output, r_script_output)
- raise ex
-
-
-class OpUtil(object):
- """Utility functions for preparing file execution."""
-
- @classmethod
- def package_install(cls, user_volume_path) -> None:
- OpUtil.log_operation_info("Installing packages")
- t0 = time.time()
- requirements_file = cls.determine_elyra_requirements()
- elyra_packages = cls.package_list_to_dict(requirements_file)
- current_packages = cls.package_list_to_dict("requirements-current.txt")
- to_install_list = []
-
- for package, ver in elyra_packages.items():
- if package in current_packages:
- if current_packages[package] is None:
- logger.warning(
- f"WARNING: Source package '{package}' found already installed as an "
- "editable package. This may conflict with the required version: "
- f"{ver} . Skipping..."
- )
- continue
- try:
- version.Version(current_packages[package])
- except version.InvalidVersion: # current version is not PEP-440 compliant
- logger.warning(
- f"WARNING: Source package '{package}' found already installed from "
- f"{current_packages[package]}. This may conflict with the required "
- f"version: {ver} . Skipping..."
- )
- continue
- if version.Version(ver) > version.Version(current_packages[package]):
- logger.info(f"Updating {package} package from version {current_packages[package]} to {ver}...")
- to_install_list.append(f"{package}=={ver}")
- elif version.Version(ver) < version.Version(current_packages[package]):
- logger.info(
- f"Newer {package} package with version {current_packages[package]} "
- f"already installed. Skipping..."
- )
- else:
- logger.info(f"Package not found. Installing {package} package with version {ver}...")
- to_install_list.append(f"{package}=={ver}")
-
- if to_install_list:
- if user_volume_path:
- to_install_list.insert(0, f"--target={user_volume_path}")
- to_install_list.append("--no-cache-dir")
-
- subprocess.run([sys.executable, "-m", "pip", "install"] + to_install_list, check=True)
-
- if user_volume_path:
- os.environ["PIP_CONFIG_FILE"] = f"{user_volume_path}/pip.conf"
-
- subprocess.run([sys.executable, "-m", "pip", "freeze"])
- duration = time.time() - t0
- OpUtil.log_operation_info("Packages installed", duration)
-
- @classmethod
- def determine_elyra_requirements(cls) -> Any:
- if sys.version_info.major == 3:
- if sys.version_info.minor in [8, 9, 10, 11]:
- return "requirements-elyra.txt"
- logger.error(
- f"This version of Python '{sys.version_info.major}.{sys.version_info.minor}' "
- f"is not supported for Elyra generic components"
- )
- return None
-
- @classmethod
- def package_list_to_dict(cls, filename: str) -> dict:
- package_dict = {}
- with open(filename) as fh:
- for line in fh:
- if line[0] != "#":
- if " @ " in line:
- package_name, package_version = line.strip("\n").split(sep=" @ ")
- elif "===" in line:
- package_name, package_version = line.strip("\n").split(sep="===")
- elif "==" in line:
- package_name, package_version = line.strip("\n").split(sep="==")
- elif line.startswith("-e ") or line.startswith("--editable "):
- package_name = line.strip("\n").replace("-e ", "").replace("--editable ", "")
- if "#egg=" in package_name: # editable package from version control system
- package_name = package_name.split("=")[-1]
- elif "/" in package_name: # editable package from local directory
- package_name = os.path.basename(package_name)
- package_version = None
- else:
- # Tolerate other formats but do not add to package list
- continue
-
- package_dict[package_name] = package_version
-
- return package_dict
-
- @classmethod
- def parse_arguments(cls, args) -> dict:
- import argparse
-
- global pipeline_name, operation_name
-
- logger.debug("Parsing Arguments.....")
- parser = argparse.ArgumentParser()
- parser.add_argument(
- "-e", "--cos-endpoint", dest="cos-endpoint", help="Cloud object storage endpoint", required=True
- )
- parser.add_argument(
- "-b", "--cos-bucket", dest="cos-bucket", help="Cloud object storage bucket to use", required=True
- )
- parser.add_argument(
- "-d",
- "--cos-directory",
- dest="cos-directory",
- help="Working directory in cloud object storage bucket to use",
- required=True,
- )
- parser.add_argument(
- "-t",
- "--cos-dependencies-archive",
- dest="cos-dependencies-archive",
- help="Archive containing notebook and dependency artifacts",
- required=True,
- )
- parser.add_argument("-f", "--file", dest="filepath", help="File to execute", required=True)
- parser.add_argument("-o", "--outputs", dest="outputs", help="Files to output to object store", required=False)
- parser.add_argument("-i", "--inputs", dest="inputs", help="Files to pull in from parent node", required=False)
- parser.add_argument(
- "-p",
- "--user-volume-path",
- dest="user-volume-path",
- help="Directory in Volume to install python libraries into",
- required=False,
- )
- parser.add_argument(
- "-n",
- "--pipeline-name",
- dest="pipeline-name",
- help="Pipeline name",
- required=True,
- )
- parser.add_argument(
- "-r",
- "--pipeline-parameters",
- dest="pipeline_parameters",
- help="Pipeline parameters that apply to this node",
- required=False,
- )
- parser.add_argument(
- "-m",
- "--parameter-pass-method",
- dest="parameter_pass_method",
- choices=["env"],
- help="The method by which pipeline parameters should be applied to this node.",
- required=False,
- )
- parsed_args = vars(parser.parse_args(args))
-
- # set pipeline name as global
- pipeline_name = parsed_args.get("pipeline-name")
- # operation/node name is the basename of the non-suffixed filepath, set as global
- operation_name = os.path.basename(os.path.splitext(parsed_args.get("filepath"))[0])
-
- return parsed_args
-
- @classmethod
- def log_operation_info(cls, action_clause: str, duration_secs: Optional[float] = None) -> None:
- """Produces a formatted log INFO message used entirely for support purposes.
-
- This method is intended to be called for any entries that should be captured across aggregated
- log files to identify steps within a given pipeline and each of its operations. As a result,
- calls to this method should produce single-line entries in the log (no embedded newlines).
- Each entry is prefixed with the pipeline name.
-
- General logging should NOT use this method but use logger.() statements directly.
-
- :param action_clause: str representing the action that is being logged
- :param duration_secs: optional float value representing the duration of the action being logged
- """
- global pipeline_name, operation_name
- if enable_pipeline_info:
- duration_clause = f"({duration_secs:.3f} secs)" if duration_secs else ""
- logger.info(f"'{pipeline_name}':'{operation_name}' - {action_clause} {duration_clause}")
-
-
-def main():
- # Configure logger format, level
- logging.basicConfig(
- format="[%(levelname)1.1s %(asctime)s.%(msecs).03d] %(message)s", datefmt="%H:%M:%S", level=logging.DEBUG
- )
- # Setup packages and gather arguments
- input_params = OpUtil.parse_arguments(sys.argv[1:])
- OpUtil.log_operation_info("starting operation")
- t0 = time.time()
-
- # Create the appropriate instance, process dependencies and execute the operation
- file_op = FileOpBase.get_instance(**input_params)
-
- file_op.process_dependencies()
-
- file_op.execute()
-
- # Process notebook | script metrics and KFP UI metadata
- file_op.process_metrics_and_metadata()
-
- duration = time.time() - t0
- OpUtil.log_operation_info("operation completed", duration)
-
-
-if __name__ == "__main__":
- main()
\ No newline at end of file
diff --git a/runtimes/datascience/ubi8-python-3.8/utils/pip.conf b/runtimes/datascience/ubi8-python-3.8/utils/pip.conf
deleted file mode 100644
index 69a2baf4c..000000000
--- a/runtimes/datascience/ubi8-python-3.8/utils/pip.conf
+++ /dev/null
@@ -1,4 +0,0 @@
-# Copied from: https://github.com/elyra-ai/elyra/blob/main/etc/kfp/pip.conf
-
-[global]
-target=/opt/app-root/src/jupyter-work-dir/python3/
diff --git a/runtimes/datascience/ubi8-python-3.8/utils/requirements-elyra.txt b/runtimes/datascience/ubi8-python-3.8/utils/requirements-elyra.txt
deleted file mode 100644
index ddf75d0c5..000000000
--- a/runtimes/datascience/ubi8-python-3.8/utils/requirements-elyra.txt
+++ /dev/null
@@ -1,71 +0,0 @@
-# Copied from: https://github.com/elyra-ai/elyra/blob/main/etc/generic/requirements-elyra.txt
-
-# This is a comprehensive list of python dependencies that Elyra requires to execute Jupyter notebooks.
-ipykernel==6.13.0
-ipython==8.10.0
-ipython-genutils==0.2.0
-jinja2==3.1.4
-jupyter-client==7.3.1
-jupyter-core==4.11.2
-MarkupSafe==2.1.1
-minio==7.1.15
-nbclient==0.6.3
-nbconvert==7.1.0
-nbformat==5.4.0
-papermill==2.3.4
-pyzmq==24.0.1
-prompt-toolkit==3.0.30
-requests==2.31.0
-tornado==6.3.3
-traitlets==5.1.1
-urllib3==1.26.9
-#
-# These excluded are transitive dependencies of the included python packages.
-#ansiwrap==0.8.4
-#appnope==0.1.3
-#asttokens==2.0.5
-#attrs==21.4.0
-#backcall==0.2.0
-#beautifulsoup4==4.11.1
-#bleach==5.0.0
-#certifi==2021.10.8
-#charset-normalizer==2.0.12
-#click==8.1.3
-#debugpy==1.6.0
-#decorator==5.1.1
-#defusedxml==0.7.1
-#entrypoints==0.4
-#executing==0.8.3
-#fastjsonschema==2.15.3
-#idna==3.3
-#importlib-resources==5.7.1
-#jedi==0.18.1
-#jsonschema==4.5.1
-#jupyterlab-pygments==0.2.2
-#matplotlib-inline==0.1.3
-#mistune==0.8.4
-#nest-asyncio==1.5.5
-#packaging==21.3
-#pandocfilters==1.5.0
-#parso==0.8.3
-#pexpect==4.8.0
-#pickleshare==0.7.5
-#psutil==5.9.0
-#ptyprocess==0.7.0
-#pure-eval==0.2.2
-#Pygments==2.12.0
-#pyparsing==3.0.9
-#pyrsistent==0.18.1
-#python-dateutil==2.8.2
-#PyYAML==6.0
-#six==1.16.0
-#soupsieve==2.3.2.post1
-#stack-data==0.2.0
-#tenacity==8.0.1
-#textwrap3==0.9.2
-#tinycss2==1.1.1
-#tqdm==4.64.0
-#wcwidth==0.2.5
-#webencodings==0.5.1
-#zipp==3.8.0
-#
diff --git a/runtimes/minimal/ubi8-python-3.8/Dockerfile b/runtimes/minimal/ubi8-python-3.8/Dockerfile
deleted file mode 100644
index 57d949a3b..000000000
--- a/runtimes/minimal/ubi8-python-3.8/Dockerfile
+++ /dev/null
@@ -1,28 +0,0 @@
-ARG BASE_IMAGE
-FROM ${BASE_IMAGE}
-
-LABEL name="odh-notebook-runtime-minimal-ubi8-python-3.8" \
- summary="Runtime minimal image for ODH notebooks" \
- description="Runtime minimal image with base Python 3.8 builder image based on UBI8 for ODH notebooks" \
- io.k8s.display-name="Runtime minimal image for ODH notebooks" \
- io.k8s.description="Runtime minimal image with base Python 3.8 builder image based on UBI8 for ODH notebooks" \
- authoritative-source-url="https://github.com/opendatahub-io/notebooks" \
- io.openshift.build.commit.ref="main" \
- io.openshift.build.source-location="https://github.com/opendatahub-io/notebooks/tree/main/runtimes/minimal/ubi8-python-3.8" \
- io.openshift.build.image="quay.io/opendatahub/workbench-images:runtime-minimal-ubi8-python-3.8"
-
-WORKDIR /opt/app-root/bin
-
-# Install Python packages from Pipfile.lock
-COPY Pipfile.lock ./
-# Copy Elyra dependencies for air-gapped enviroment
-COPY utils ./utils/
-
-RUN echo "Installing softwares and packages" && \
- micropipenv install && \
- rm -f ./Pipfile.lock && \
- # Fix permissions to support pip in Openshift environments \
- chmod -R g+w /opt/app-root/lib/python3.8/site-packages && \
- fix-permissions /opt/app-root -P
-
-WORKDIR /opt/app-root/src
diff --git a/runtimes/minimal/ubi8-python-3.8/Pipfile b/runtimes/minimal/ubi8-python-3.8/Pipfile
deleted file mode 100644
index e27785b66..000000000
--- a/runtimes/minimal/ubi8-python-3.8/Pipfile
+++ /dev/null
@@ -1,30 +0,0 @@
-[[source]]
-url = "https://pypi.org/simple"
-verify_ssl = true
-name = "pypi"
-
-[dev-packages]
-
-[packages]
-# This is a comprehensive list of python dependencies that Elyra requires to execute Jupyter notebooks.
-ipykernel = "==6.13.0"
-ipython = "==8.10.0"
-ipython-genutils = "==0.2.0"
-jinja2 = "==3.1.4"
-jupyter-client = "==7.3.1"
-jupyter-core = "==4.11.2"
-MarkupSafe = "==2.1.1"
-minio = "==7.1.15"
-nbclient = "==0.6.3"
-nbconvert = "==7.1.0"
-nbformat = "==5.4.0"
-papermill = "==2.3.4"
-pyzmq = "==24.0.1"
-prompt-toolkit = "==3.0.30"
-requests = "==2.31.0"
-tornado = "==6.3.3"
-traitlets = "==5.1.1"
-urllib3 = "==1.26.18"
-
-[requires]
-python_version = "3.8"
diff --git a/runtimes/minimal/ubi8-python-3.8/Pipfile.lock b/runtimes/minimal/ubi8-python-3.8/Pipfile.lock
deleted file mode 100644
index 1b45fb715..000000000
--- a/runtimes/minimal/ubi8-python-3.8/Pipfile.lock
+++ /dev/null
@@ -1,949 +0,0 @@
-{
- "_meta": {
- "hash": {
- "sha256": "0ffad54b1f156abac45a097cf6205459390e793d26272ffe9a283ce6ee747dc1"
- },
- "pipfile-spec": 6,
- "requires": {
- "python_version": "3.8"
- },
- "sources": [
- {
- "name": "pypi",
- "url": "https://pypi.org/simple",
- "verify_ssl": true
- }
- ]
- },
- "default": {
- "ansiwrap": {
- "hashes": [
- "sha256:7b053567c88e1ad9eed030d3ac41b722125e4c1271c8a99ade797faff1f49fb1",
- "sha256:ca0c740734cde59bf919f8ff2c386f74f9a369818cdc60efe94893d01ea8d9b7"
- ],
- "version": "==0.8.4"
- },
- "asttokens": {
- "hashes": [
- "sha256:051ed49c3dcae8913ea7cd08e46a606dba30b79993209636c4875bc1d637bc24",
- "sha256:b03869718ba9a6eb027e134bfdf69f38a236d681c83c160d510768af11254ba0"
- ],
- "version": "==2.4.1"
- },
- "attrs": {
- "hashes": [
- "sha256:935dc3b529c262f6cf76e50877d35a4bd3c1de194fd41f47a2b7ae8f19971f30",
- "sha256:99b87a485a5820b23b879f04c2305b44b951b502fd64be915879d77a7e8fc6f1"
- ],
- "markers": "python_version >= '3.7'",
- "version": "==23.2.0"
- },
- "backcall": {
- "hashes": [
- "sha256:5cbdbf27be5e7cfadb448baf0aa95508f91f2bbc6c6437cd9cd06e2a4c215e1e",
- "sha256:fbbce6a29f263178a1f7915c1940bde0ec2b2a967566fe1c65c1dfb7422bd255"
- ],
- "version": "==0.2.0"
- },
- "beautifulsoup4": {
- "hashes": [
- "sha256:74e3d1928edc070d21748185c46e3fb33490f22f52a3addee9aee0f4f7781051",
- "sha256:b80878c9f40111313e55da8ba20bdba06d8fa3969fc68304167741bbf9e082ed"
- ],
- "markers": "python_full_version >= '3.6.0'",
- "version": "==4.12.3"
- },
- "bleach": {
- "hashes": [
- "sha256:0a31f1837963c41d46bbf1331b8778e1308ea0791db03cc4e7357b97cf42a8fe",
- "sha256:3225f354cfc436b9789c66c4ee030194bee0568fbf9cbdad3bc8b5c26c5f12b6"
- ],
- "markers": "python_version >= '3.8'",
- "version": "==6.1.0"
- },
- "certifi": {
- "hashes": [
- "sha256:5a1e7645bc0ec61a09e26c36f6106dd4cf40c6db3a1fb6352b0244e7fb057c7b",
- "sha256:c198e21b1289c2ab85ee4e67bb4b4ef3ead0892059901a8d5b622f24a1101e90"
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- "markers": "python_version >= '3.6'",
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- "charset-normalizer": {
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- "sha256:fb37bd599f031f1a6fb9e58ec62864ccf3ad549cf14bac527dbfa97123edcca4"
- ],
- "markers": "python_version >= '3.8'",
- "version": "==0.19.0"
- },
- "six": {
- "hashes": [
- "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926",
- "sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254"
- ],
- "markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3'",
- "version": "==1.16.0"
- },
- "soupsieve": {
- "hashes": [
- "sha256:5663d5a7b3bfaeee0bc4372e7fc48f9cff4940b3eec54a6451cc5299f1097690",
- "sha256:eaa337ff55a1579b6549dc679565eac1e3d000563bcb1c8ab0d0fefbc0c2cdc7"
- ],
- "markers": "python_version >= '3.8'",
- "version": "==2.5"
- },
- "stack-data": {
- "hashes": [
- "sha256:836a778de4fec4dcd1dcd89ed8abff8a221f58308462e1c4aa2a3cf30148f0b9",
- "sha256:d5558e0c25a4cb0853cddad3d77da9891a08cb85dd9f9f91b9f8cd66e511e695"
- ],
- "version": "==0.6.3"
- },
- "tenacity": {
- "hashes": [
- "sha256:8bc6c0c8a09b31e6cad13c47afbed1a567518250a9a171418582ed8d9c20ca78",
- "sha256:b594c2a5945830c267ce6b79a166228323ed52718f30302c1359836112346687"
- ],
- "markers": "python_version >= '3.8'",
- "version": "==8.5.0"
- },
- "textwrap3": {
- "hashes": [
- "sha256:5008eeebdb236f6303dcd68f18b856d355f6197511d952ba74bc75e40e0c3414",
- "sha256:bf5f4c40faf2a9ff00a9e0791fed5da7415481054cef45bb4a3cfb1f69044ae0"
- ],
- "version": "==0.9.2"
- },
- "tinycss2": {
- "hashes": [
- "sha256:152f9acabd296a8375fbca5b84c961ff95971fcfc32e79550c8df8e29118c54d",
- "sha256:54a8dbdffb334d536851be0226030e9505965bb2f30f21a4a82c55fb2a80fae7"
- ],
- "markers": "python_version >= '3.8'",
- "version": "==1.3.0"
- },
- "tornado": {
- "hashes": [
- "sha256:1bd19ca6c16882e4d37368e0152f99c099bad93e0950ce55e71daed74045908f",
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- "sha256:e7d8db41c0181c80d76c982aacc442c0783a2c54d6400fe028954201a2e032fe"
- ],
- "index": "pypi",
- "markers": "python_version >= '3.8'",
- "version": "==6.3.3"
- },
- "tqdm": {
- "hashes": [
- "sha256:b75ca56b413b030bc3f00af51fd2c1a1a5eac6a0c1cca83cbb37a5c52abce644",
- "sha256:e4d936c9de8727928f3be6079590e97d9abfe8d39a590be678eb5919ffc186bb"
- ],
- "markers": "python_version >= '3.7'",
- "version": "==4.66.4"
- },
- "traitlets": {
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- "sha256:059f456c5a7c1c82b98c2e8c799f39c9b8128f6d0d46941ee118daace9eb70c7",
- "sha256:2d313cc50a42cd6c277e7d7dc8d4d7fedd06a2c215f78766ae7b1a66277e0033"
- ],
- "index": "pypi",
- "markers": "python_version >= '3.7'",
- "version": "==5.1.1"
- },
- "urllib3": {
- "hashes": [
- "sha256:34b97092d7e0a3a8cf7cd10e386f401b3737364026c45e622aa02903dffe0f07",
- "sha256:f8ecc1bba5667413457c529ab955bf8c67b45db799d159066261719e328580a0"
- ],
- "index": "pypi",
- "markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4, 3.5'",
- "version": "==1.26.18"
- },
- "wcwidth": {
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- "sha256:72ea0c06399eb286d978fdedb6923a9eb47e1c486ce63e9b4e64fc18303972b5"
- ],
- "version": "==0.2.13"
- },
- "webencodings": {
- "hashes": [
- "sha256:a0af1213f3c2226497a97e2b3aa01a7e4bee4f403f95be16fc9acd2947514a78",
- "sha256:b36a1c245f2d304965eb4e0a82848379241dc04b865afcc4aab16748587e1923"
- ],
- "version": "==0.5.1"
- },
- "zipp": {
- "hashes": [
- "sha256:bf1dcf6450f873a13e952a29504887c89e6de7506209e5b1bcc3460135d4de19",
- "sha256:f091755f667055f2d02b32c53771a7a6c8b47e1fdbc4b72a8b9072b3eef8015c"
- ],
- "markers": "python_version >= '3.8'",
- "version": "==3.19.2"
- }
- },
- "develop": {}
-}
diff --git a/runtimes/minimal/ubi8-python-3.8/kustomize/base/kustomization.yaml b/runtimes/minimal/ubi8-python-3.8/kustomize/base/kustomization.yaml
deleted file mode 100644
index 03974cb31..000000000
--- a/runtimes/minimal/ubi8-python-3.8/kustomize/base/kustomization.yaml
+++ /dev/null
@@ -1,14 +0,0 @@
----
-apiVersion: kustomize.config.k8s.io/v1beta1
-kind: Kustomization
-namePrefix: runtime-
-resources:
- - pod.yaml
-images:
- - name: runtime-workbench
- newName: quay.io/opendatahub/workbench-images
- newTag: runtime-minimal-ubi8-python-3.8
-configMapGenerator:
- - name: req-config
- files:
- - requirements-elyra.txt
diff --git a/runtimes/minimal/ubi8-python-3.8/kustomize/base/pod.yaml b/runtimes/minimal/ubi8-python-3.8/kustomize/base/pod.yaml
deleted file mode 100644
index bc5343566..000000000
--- a/runtimes/minimal/ubi8-python-3.8/kustomize/base/pod.yaml
+++ /dev/null
@@ -1,29 +0,0 @@
----
-apiVersion: v1
-kind: Pod
-metadata:
- name: pod
- labels:
- app: runtime-image
-spec:
- containers:
- - name: runtime
- image: runtime-workbench
- command: ["/bin/sh", "-c", "while true ; do date; sleep 1; done;"]
- imagePullPolicy: Always
- ports:
- - containerPort: 8080
- resources:
- limits:
- cpu: 500m
- memory: 500Mi
- requests:
- cpu: 500m
- memory: 500Mi
- volumeMounts:
- - name: config
- mountPath: /opt/app-root/elyra
- volumes:
- - name: config
- configMap:
- name: req-config
diff --git a/runtimes/minimal/ubi8-python-3.8/kustomize/base/requirements-elyra.txt b/runtimes/minimal/ubi8-python-3.8/kustomize/base/requirements-elyra.txt
deleted file mode 100644
index 91fb8e57d..000000000
--- a/runtimes/minimal/ubi8-python-3.8/kustomize/base/requirements-elyra.txt
+++ /dev/null
@@ -1,20 +0,0 @@
-# This is a comprehensive list of python dependencies that Elyra requires to execute Jupyter notebooks.
-# This is copied from elyra directly: https://github.com/elyra-ai/elyra/blob/main/etc/generic/requirements-elyra.txt
-ipykernel==6.13.0
-ipython==8.10.0
-ipython-genutils==0.2.0
-jinja2==3.1.4
-jupyter-client==7.3.1
-jupyter-core==4.11.2
-MarkupSafe==2.1.1
-minio==7.1.15
-nbclient==0.6.3
-nbconvert==7.1.0
-nbformat==5.4.0
-papermill==2.3.4
-pyzmq==24.0.1
-prompt-toolkit==3.0.30
-requests==2.31.0
-tornado==6.3.3
-traitlets==5.1.1
-urllib3==1.26.18
diff --git a/runtimes/minimal/ubi8-python-3.8/utils/bootstrapper.py b/runtimes/minimal/ubi8-python-3.8/utils/bootstrapper.py
deleted file mode 100644
index 34a39cdcc..000000000
--- a/runtimes/minimal/ubi8-python-3.8/utils/bootstrapper.py
+++ /dev/null
@@ -1,769 +0,0 @@
-# Copied from: https://github.com/elyra-ai/elyra/blob/main/elyra/kfp/bootstrapper.py
-#
-# Copyright 2018-2023 Elyra Authors
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-# http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-from abc import ABC
-from abc import abstractmethod
-import glob
-import json
-import logging
-import os
-from pathlib import Path
-import subprocess
-import sys
-from tempfile import TemporaryFile
-import time
-from typing import Any
-from typing import Dict
-from typing import Optional
-from typing import Type
-from typing import TypeVar
-from urllib.parse import urljoin
-from urllib.parse import urlparse
-from urllib.parse import urlunparse
-
-from packaging import version
-
-
-# Inputs and Outputs separator character. If updated,
-# same-named variable in _notebook_op.py must be updated!
-INOUT_SEPARATOR = ";"
-
-# Setup forward reference for type hint on return from class factory method. See
-# https://stackoverflow.com/questions/39205527/can-you-annotate-return-type-when-value-is-instance-of-cls/39205612#39205612
-F = TypeVar("F", bound="FileOpBase")
-
-logger = logging.getLogger("elyra")
-enable_pipeline_info = os.getenv("ELYRA_ENABLE_PIPELINE_INFO", "true").lower() == "true"
-pipeline_name = None # global used in formatted logging
-operation_name = None # global used in formatted logging
-
-
-class FileOpBase(ABC):
- """Abstract base class for file-based operations"""
-
- filepath = None
- cos_client = None
- cos_bucket = None
-
- @classmethod
- def get_instance(cls: Type[F], **kwargs: Any) -> F:
- """Creates an appropriate subclass instance based on the extension of the filepath (-f) argument"""
- filepath = kwargs["filepath"]
- if ".ipynb" in filepath:
- return NotebookFileOp(**kwargs)
- elif ".py" in filepath:
- return PythonFileOp(**kwargs)
- elif ".r" in filepath:
- return RFileOp(**kwargs)
- else:
- raise ValueError(f"Unsupported file type: {filepath}")
-
- def __init__(self, **kwargs: Any) -> None:
- """Initializes the FileOpBase instance"""
- import minio
- from minio.credentials import providers
-
- self.filepath = kwargs["filepath"]
- self.input_params = kwargs or {}
- self.cos_endpoint = urlparse(self.input_params.get("cos-endpoint"))
- self.cos_bucket = self.input_params.get("cos-bucket")
-
- self.parameter_pass_method = self.input_params.get("parameter_pass_method")
- self.pipeline_param_dict = self.convert_param_str_to_dict(self.input_params.get("pipeline_parameters"))
-
- # Infer secure from the endpoint's scheme.
- self.secure = self.cos_endpoint.scheme == "https"
-
- # get minio credentials provider
- if "cos-user" in self.input_params and "cos-password" in self.input_params:
- cred_provider = providers.StaticProvider(
- access_key=self.input_params.get("cos-user"),
- secret_key=self.input_params.get("cos-password"),
- )
- elif "AWS_ACCESS_KEY_ID" in os.environ and "AWS_SECRET_ACCESS_KEY" in os.environ:
- cred_provider = providers.EnvAWSProvider()
- elif "AWS_ROLE_ARN" in os.environ and "AWS_WEB_IDENTITY_TOKEN_FILE" in os.environ:
- cred_provider = providers.IamAwsProvider()
- else:
- raise RuntimeError(
- "No minio credentials provider can be initialised for current configs. "
- "Please validate your runtime configuration details and retry."
- )
-
- # get minio client
- self.cos_client = minio.Minio(self.cos_endpoint.netloc, secure=self.secure, credentials=cred_provider)
-
- @abstractmethod
- def execute(self) -> None:
- """Execute the operation relative to derived class"""
- raise NotImplementedError("Method 'execute()' must be implemented by subclasses!")
-
- def process_dependencies(self) -> None:
- """Process dependencies
-
- If a dependency archive is present, it will be downloaded from object storage
- and expanded into the local directory.
-
- This method can be overridden by subclasses, although overrides should first
- call the superclass method.
- """
- OpUtil.log_operation_info("processing dependencies")
- t0 = time.time()
- archive_file = self.input_params.get("cos-dependencies-archive")
-
- self.get_file_from_object_storage(archive_file)
-
- inputs = self.input_params.get("inputs")
- if inputs:
- input_list = inputs.split(INOUT_SEPARATOR)
- for file in input_list:
- self.get_file_from_object_storage(file.strip())
-
- subprocess.call(["tar", "-zxvf", archive_file])
- duration = time.time() - t0
- OpUtil.log_operation_info("dependencies processed", duration)
-
- def process_outputs(self) -> None:
- """Process outputs
-
- If outputs have been specified, it will upload the appropriate files to object storage
-
- This method can be overridden by subclasses, although overrides should first
- call the superclass method.
- """
- OpUtil.log_operation_info("processing outputs")
- t0 = time.time()
- outputs = self.input_params.get("outputs")
- if outputs:
- output_list = outputs.split(INOUT_SEPARATOR)
- for file in output_list:
- self.process_output_file(file.strip())
- duration = time.time() - t0
- OpUtil.log_operation_info("outputs processed", duration)
-
- def process_metrics_and_metadata(self) -> None:
- """Process metrics and metadata
-
- This method exposes metrics/metadata that the processed
- notebook | script produces in the KFP UI.
-
- This method should not be overridden by subclasses.
- """
-
- OpUtil.log_operation_info("processing metrics and metadata")
- t0 = time.time()
-
- # Location where the KFP specific output files will be stored
- # in the environment where the bootsrapper is running.
- # Defaults to '/tmp' if not specified.
- output_path = Path(os.getenv("ELYRA_WRITABLE_CONTAINER_DIR", "/tmp"))
-
- # verify that output_path exists, is a directory
- # and writable by creating a temporary file in that location
- try:
- with TemporaryFile(mode="w", dir=output_path) as t:
- t.write("can write")
- except Exception:
- # output_path doesn't meet the requirements
- # treat this as a non-fatal error and log a warning
- logger.warning(f'Cannot create files in "{output_path}".')
- OpUtil.log_operation_info("Aborted metrics and metadata processing", time.time() - t0)
- return
-
- # Name of the proprietary KFP UI metadata file.
- # Notebooks | scripts might (but don't have to) produce this file
- # as documented in
- # https://www.kubeflow.org/docs/pipelines/sdk/output-viewer/
- # Each ExecuteFileOp must declare this as an output file or
- # the KFP UI won't pick up the information.
- kfp_ui_metadata_filename = "mlpipeline-ui-metadata.json"
-
- # Name of the proprietary KFP metadata file.
- # Notebooks | scripts might (but don't have to) produce this file
- # as documented in
- # https://www.kubeflow.org/docs/pipelines/sdk/pipelines-metrics/
- # Each ExecuteFileOp must declare this as an output file or
- # the KFP UI won't pick up the information.
- kfp_metrics_filename = "mlpipeline-metrics.json"
-
- # If the notebook | Python script produced one of the files
- # copy it to the target location where KFP is looking for it.
- for filename in [kfp_ui_metadata_filename, kfp_metrics_filename]:
- try:
- src = Path(".") / filename
- logger.debug(f"Processing {src} ...")
- # try to load the file, if one was created by the
- # notebook or script
- with open(src, "r") as f:
- metadata = json.load(f)
-
- # the file exists and contains valid JSON
- logger.debug(f"File content: {json.dumps(metadata)}")
-
- target = output_path / filename
- # try to save the file in the destination location
- with open(target, "w") as f:
- json.dump(metadata, f)
- except FileNotFoundError:
- # The script | notebook didn't produce the file
- # we are looking for. This is not an error condition
- # that needs to be handled.
- logger.debug(f"{self.filepath} produced no file named {src}")
- except ValueError as ve:
- # The file content could not be parsed. Log a warning
- # and treat this as a non-fatal error.
- logger.warning(f"Ignoring incompatible {str(src)} produced by {self.filepath}: {ve} {str(ve)}")
- except Exception as ex:
- # Something is wrong with the user-generated metadata file.
- # Log a warning and treat this as a non-fatal error.
- logger.warning(f"Error processing {str(src)} produced by {self.filepath}: {ex} {str(ex)}")
-
- #
- # Augment kfp_ui_metadata_filename with Elyra-specific information:
- # - link to object storage where input and output artifacts are
- # stored
- ui_metadata_output = output_path / kfp_ui_metadata_filename
- try:
- # re-load the file
- with open(ui_metadata_output, "r") as f:
- metadata = json.load(f)
- except Exception:
- # ignore all errors
- metadata = {}
-
- # Assure the 'output' property exists and is of the correct type
- if metadata.get("outputs", None) is None or not isinstance(metadata["outputs"], list):
- metadata["outputs"] = []
-
- # Define HREF for COS bucket:
- # //
- bucket_url = urljoin(
- urlunparse(self.cos_endpoint), f"{self.cos_bucket}/{self.input_params.get('cos-directory', '')}/"
- )
-
- # add Elyra metadata to 'outputs'
- metadata["outputs"].append(
- {
- "storage": "inline",
- "source": f"## Inputs for {self.filepath}\n"
- f"[{self.input_params['cos-dependencies-archive']}]({bucket_url})",
- "type": "markdown",
- }
- )
-
- # print the content of the augmented metadata file
- logger.debug(f"Output UI metadata: {json.dumps(metadata)}")
-
- logger.debug(f"Saving UI metadata file as {ui_metadata_output} ...")
-
- # Save [updated] KFP UI metadata file
- with open(ui_metadata_output, "w") as f:
- json.dump(metadata, f)
-
- duration = time.time() - t0
- OpUtil.log_operation_info("metrics and metadata processed", duration)
-
- def get_object_storage_filename(self, filename: str) -> str:
- """Function to pre-pend cloud storage working dir to file name
-
- :param filename: the local file
- :return: the full path of the object storage file
- """
- return os.path.join(self.input_params.get("cos-directory", ""), filename)
-
- def get_file_from_object_storage(self, file_to_get: str) -> None:
- """Utility function to get files from an object storage
-
- :param file_to_get: filename
- """
-
- object_to_get = self.get_object_storage_filename(file_to_get)
- t0 = time.time()
- self.cos_client.fget_object(bucket_name=self.cos_bucket, object_name=object_to_get, file_path=file_to_get)
- duration = time.time() - t0
- OpUtil.log_operation_info(
- f"downloaded {file_to_get} from bucket: {self.cos_bucket}, object: {object_to_get}", duration
- )
-
- def put_file_to_object_storage(self, file_to_upload: str, object_name: Optional[str] = None) -> None:
- """Utility function to put files into an object storage
-
- :param file_to_upload: filename
- :param object_name: remote filename (used to rename)
- """
-
- object_to_upload = object_name
- if not object_to_upload:
- object_to_upload = file_to_upload
-
- object_to_upload = self.get_object_storage_filename(object_to_upload)
- t0 = time.time()
- self.cos_client.fput_object(bucket_name=self.cos_bucket, object_name=object_to_upload, file_path=file_to_upload)
- duration = time.time() - t0
- OpUtil.log_operation_info(
- f"uploaded {file_to_upload} to bucket: {self.cos_bucket} object: {object_to_upload}", duration
- )
-
- def has_wildcard(self, filename):
- wildcards = ["*", "?"]
- return bool(any(c in filename for c in wildcards))
-
- def process_output_file(self, output_file):
- """Puts the file to object storage. Handles wildcards and directories."""
-
- matched_files = [output_file]
- if self.has_wildcard(output_file): # explode the wildcarded file
- matched_files = glob.glob(output_file)
-
- for matched_file in matched_files:
- if os.path.isdir(matched_file):
- for file in os.listdir(matched_file):
- self.process_output_file(os.path.join(matched_file, file))
- else:
- self.put_file_to_object_storage(matched_file)
-
- def convert_param_str_to_dict(self, pipeline_parameters: Optional[str] = None) -> Dict[str, Any]:
- """Convert INOUT-separated string of pipeline parameters into a dictionary."""
- parameter_dict = {}
- if pipeline_parameters:
- parameter_list = pipeline_parameters.split(INOUT_SEPARATOR)
- for parameter in parameter_list:
- param_name, value = parameter.split("=", 1)
- if self.parameter_pass_method == "env" and (not value or not isinstance(value, str)):
- continue # env vars must be non-empty strings
- parameter_dict[param_name] = value
- return parameter_dict
-
- def set_parameters_in_env(self) -> None:
- """Make pipeline parameters available as environment variables."""
- for name, value in self.pipeline_param_dict.items():
- if name in os.environ:
- continue # avoid overwriting env vars with the same name
- os.environ[name] = value
-
-
-class NotebookFileOp(FileOpBase):
- """Perform Notebook File Operation"""
-
- def execute(self) -> None:
- """Execute the Notebook and upload results to object storage"""
- notebook = os.path.basename(self.filepath)
- notebook_name = notebook.replace(".ipynb", "")
- notebook_output = f"{notebook_name}-output.ipynb"
- notebook_html = f"{notebook_name}.html"
-
- try:
- OpUtil.log_operation_info(f"executing notebook using 'papermill {notebook} {notebook_output}'")
- t0 = time.time()
- # Include kernel selection in execution time
- kernel_name = NotebookFileOp.find_best_kernel(notebook)
-
- kwargs = {}
- if self.parameter_pass_method == "env":
- self.set_parameters_in_env()
-
- import papermill
-
- papermill.execute_notebook(notebook, notebook_output, kernel_name=kernel_name, **kwargs)
- duration = time.time() - t0
- OpUtil.log_operation_info("notebook execution completed", duration)
-
- NotebookFileOp.convert_notebook_to_html(notebook_output, notebook_html)
- self.put_file_to_object_storage(notebook_output, notebook)
- self.put_file_to_object_storage(notebook_html)
- self.process_outputs()
- except Exception as ex:
- # log in case of errors
- logger.error(f"Unexpected error: {sys.exc_info()[0]}")
-
- NotebookFileOp.convert_notebook_to_html(notebook_output, notebook_html)
- self.put_file_to_object_storage(notebook_output, notebook)
- self.put_file_to_object_storage(notebook_html)
- raise ex
-
- @staticmethod
- def convert_notebook_to_html(notebook_file: str, html_file: str) -> str:
- """Function to convert a Jupyter notebook file (.ipynb) into an html file
-
- :param notebook_file: object storage client
- :param html_file: name of what the html output file should be
- :return: html_file: the converted notebook in html format
- """
- import nbconvert
- import nbformat
-
- OpUtil.log_operation_info(f"converting from {notebook_file} to {html_file}")
- t0 = time.time()
- nb = nbformat.read(notebook_file, as_version=4)
- html_exporter = nbconvert.HTMLExporter()
- data, resources = html_exporter.from_notebook_node(nb)
- with open(html_file, "w") as f:
- f.write(data)
- f.close()
-
- duration = time.time() - t0
- OpUtil.log_operation_info(f"{notebook_file} converted to {html_file}", duration)
- return html_file
-
- @staticmethod
- def find_best_kernel(notebook_file: str) -> str:
- """Determines the best kernel to use via the following algorithm:
-
- 1. Loads notebook and gets kernel_name and kernel_language from NB metadata.
- 2. Gets the list of configured kernels using KernelSpecManager.
- 3. If notebook kernel_name is in list, use that, else
- 4. If not found, load each configured kernel.json file and find a language match.
- 5. On first match, log info message regarding the switch and use that kernel.
- 6. If no language match is found, revert to notebook kernel and log warning message.
- """
- from jupyter_client.kernelspec import KernelSpecManager
- import nbformat
-
- nb = nbformat.read(notebook_file, 4)
-
- nb_kspec = nb.metadata.kernelspec
- nb_kernel_name = nb_kspec.get("name")
- nb_kernel_lang = nb_kspec.get("language")
-
- kernel_specs = KernelSpecManager().find_kernel_specs()
-
- # see if we have a direct match...
- if nb_kernel_name in kernel_specs.keys():
- return nb_kernel_name
-
- # no match found for kernel, try matching language...
- for name, file in kernel_specs.items():
- # load file (JSON) and pick out language, if match, use first found
- with open(os.path.join(file, "kernel.json")) as f:
- kspec = json.load(f)
- if kspec.get("language").lower() == nb_kernel_lang.lower():
- matched_kernel = os.path.basename(file)
- logger.info(
- f"Matched kernel by language ({nb_kernel_lang}), using kernel "
- f"'{matched_kernel}' instead of the missing kernel '{nb_kernel_name}'."
- )
- return matched_kernel
-
- # no match found for language, return notebook kernel and let execution fail
- logger.warning(
- f"Reverting back to missing notebook kernel '{nb_kernel_name}' since no "
- f"language match ({nb_kernel_lang}) was found in current kernel specifications."
- )
- return nb_kernel_name
-
-
-class PythonFileOp(FileOpBase):
- """Perform Python File Operation"""
-
- def execute(self) -> None:
- """Execute the Python script and upload results to object storage"""
- python_script = os.path.basename(self.filepath)
- python_script_name = python_script.replace(".py", "")
- # python_script_output = f"{python_script_name}.log"
-
- try:
- OpUtil.log_operation_info(
- f"executing python script using 'python3 {python_script}'"
- )
- t0 = time.time()
-
- run_args = ["python3", python_script]
- if self.parameter_pass_method == "env":
- self.set_parameters_in_env()
-
- logger.info("----------------------Python logs start----------------------")
- # Removing support for the s3 storage of python script logs
- # with open(python_script_output, "w") as log_file:
- # process = subprocess.Popen(run_args, stdout=subprocess.PIPE, stderr=subprocess.STDOUT)
- process = subprocess.Popen(run_args, stdout=subprocess.PIPE, stderr=subprocess.STDOUT)
-
- for line in iter(process.stdout.readline, b''):
- sys.stdout.write(line.decode())
-
- process.stdout.close()
- return_code = process.wait()
- logger.info("----------------------Python logs ends----------------------")
- if return_code:
- raise subprocess.CalledProcessError(return_code, run_args)
- duration = time.time() - t0
- OpUtil.log_operation_info("python script execution completed", duration)
-
- # self.put_file_to_object_storage(python_script_output, python_script_output)
- self.process_outputs()
- except Exception as ex:
- # log in case of errors
- logger.error(f"Unexpected error: {sys.exc_info()[0]}")
- logger.error(f"Error details: {ex}")
-
- # self.put_file_to_object_storage(python_script_output, python_script_output)
- raise ex
-
-
-class RFileOp(FileOpBase):
- """Perform R File Operation"""
-
- def execute(self) -> None:
- """Execute the R script and upload results to object storage"""
- r_script = os.path.basename(self.filepath)
- r_script_name = r_script.replace(".r", "")
- # r_script_output = f"{r_script_name}.log"
-
- try:
- OpUtil.log_operation_info(f"executing R script using 'Rscript {r_script}'")
- t0 = time.time()
-
- run_args = ["Rscript", r_script]
- if self.parameter_pass_method == "env":
- self.set_parameters_in_env()
-
- logger.info("----------------------R script logs start----------------------")
- # Removing support for the s3 storage of R script logs
- # with open(r_script_output, "w") as log_file:
- # process = subprocess.Popen(run_args, stdout=subprocess.PIPE, stderr=subprocess.STDOUT)
- process = subprocess.Popen(run_args, stdout=subprocess.PIPE, stderr=subprocess.STDOUT)
-
- for line in iter(process.stdout.readline, b''):
- sys.stdout.write(line.decode())
-
- process.stdout.close()
- return_code = process.wait()
- logger.info("----------------------R script logs ends----------------------")
- if return_code:
- raise subprocess.CalledProcessError(return_code, run_args)
-
- duration = time.time() - t0
- OpUtil.log_operation_info("R script execution completed", duration)
-
- # self.put_file_to_object_storage(r_script_output, r_script_output)
- self.process_outputs()
- except Exception as ex:
- # log in case of errors
- logger.error(f"Unexpected error: {sys.exc_info()[0]}")
- logger.error(f"Error details: {ex}")
-
- # self.put_file_to_object_storage(r_script_output, r_script_output)
- raise ex
-
-
-class OpUtil(object):
- """Utility functions for preparing file execution."""
-
- @classmethod
- def package_install(cls, user_volume_path) -> None:
- OpUtil.log_operation_info("Installing packages")
- t0 = time.time()
- requirements_file = cls.determine_elyra_requirements()
- elyra_packages = cls.package_list_to_dict(requirements_file)
- current_packages = cls.package_list_to_dict("requirements-current.txt")
- to_install_list = []
-
- for package, ver in elyra_packages.items():
- if package in current_packages:
- if current_packages[package] is None:
- logger.warning(
- f"WARNING: Source package '{package}' found already installed as an "
- "editable package. This may conflict with the required version: "
- f"{ver} . Skipping..."
- )
- continue
- try:
- version.Version(current_packages[package])
- except version.InvalidVersion: # current version is not PEP-440 compliant
- logger.warning(
- f"WARNING: Source package '{package}' found already installed from "
- f"{current_packages[package]}. This may conflict with the required "
- f"version: {ver} . Skipping..."
- )
- continue
- if version.Version(ver) > version.Version(current_packages[package]):
- logger.info(f"Updating {package} package from version {current_packages[package]} to {ver}...")
- to_install_list.append(f"{package}=={ver}")
- elif version.Version(ver) < version.Version(current_packages[package]):
- logger.info(
- f"Newer {package} package with version {current_packages[package]} "
- f"already installed. Skipping..."
- )
- else:
- logger.info(f"Package not found. Installing {package} package with version {ver}...")
- to_install_list.append(f"{package}=={ver}")
-
- if to_install_list:
- if user_volume_path:
- to_install_list.insert(0, f"--target={user_volume_path}")
- to_install_list.append("--no-cache-dir")
-
- subprocess.run([sys.executable, "-m", "pip", "install"] + to_install_list, check=True)
-
- if user_volume_path:
- os.environ["PIP_CONFIG_FILE"] = f"{user_volume_path}/pip.conf"
-
- subprocess.run([sys.executable, "-m", "pip", "freeze"])
- duration = time.time() - t0
- OpUtil.log_operation_info("Packages installed", duration)
-
- @classmethod
- def determine_elyra_requirements(cls) -> Any:
- if sys.version_info.major == 3:
- if sys.version_info.minor in [8, 9, 10, 11]:
- return "requirements-elyra.txt"
- logger.error(
- f"This version of Python '{sys.version_info.major}.{sys.version_info.minor}' "
- f"is not supported for Elyra generic components"
- )
- return None
-
- @classmethod
- def package_list_to_dict(cls, filename: str) -> dict:
- package_dict = {}
- with open(filename) as fh:
- for line in fh:
- if line[0] != "#":
- if " @ " in line:
- package_name, package_version = line.strip("\n").split(sep=" @ ")
- elif "===" in line:
- package_name, package_version = line.strip("\n").split(sep="===")
- elif "==" in line:
- package_name, package_version = line.strip("\n").split(sep="==")
- elif line.startswith("-e ") or line.startswith("--editable "):
- package_name = line.strip("\n").replace("-e ", "").replace("--editable ", "")
- if "#egg=" in package_name: # editable package from version control system
- package_name = package_name.split("=")[-1]
- elif "/" in package_name: # editable package from local directory
- package_name = os.path.basename(package_name)
- package_version = None
- else:
- # Tolerate other formats but do not add to package list
- continue
-
- package_dict[package_name] = package_version
-
- return package_dict
-
- @classmethod
- def parse_arguments(cls, args) -> dict:
- import argparse
-
- global pipeline_name, operation_name
-
- logger.debug("Parsing Arguments.....")
- parser = argparse.ArgumentParser()
- parser.add_argument(
- "-e", "--cos-endpoint", dest="cos-endpoint", help="Cloud object storage endpoint", required=True
- )
- parser.add_argument(
- "-b", "--cos-bucket", dest="cos-bucket", help="Cloud object storage bucket to use", required=True
- )
- parser.add_argument(
- "-d",
- "--cos-directory",
- dest="cos-directory",
- help="Working directory in cloud object storage bucket to use",
- required=True,
- )
- parser.add_argument(
- "-t",
- "--cos-dependencies-archive",
- dest="cos-dependencies-archive",
- help="Archive containing notebook and dependency artifacts",
- required=True,
- )
- parser.add_argument("-f", "--file", dest="filepath", help="File to execute", required=True)
- parser.add_argument("-o", "--outputs", dest="outputs", help="Files to output to object store", required=False)
- parser.add_argument("-i", "--inputs", dest="inputs", help="Files to pull in from parent node", required=False)
- parser.add_argument(
- "-p",
- "--user-volume-path",
- dest="user-volume-path",
- help="Directory in Volume to install python libraries into",
- required=False,
- )
- parser.add_argument(
- "-n",
- "--pipeline-name",
- dest="pipeline-name",
- help="Pipeline name",
- required=True,
- )
- parser.add_argument(
- "-r",
- "--pipeline-parameters",
- dest="pipeline_parameters",
- help="Pipeline parameters that apply to this node",
- required=False,
- )
- parser.add_argument(
- "-m",
- "--parameter-pass-method",
- dest="parameter_pass_method",
- choices=["env"],
- help="The method by which pipeline parameters should be applied to this node.",
- required=False,
- )
- parsed_args = vars(parser.parse_args(args))
-
- # set pipeline name as global
- pipeline_name = parsed_args.get("pipeline-name")
- # operation/node name is the basename of the non-suffixed filepath, set as global
- operation_name = os.path.basename(os.path.splitext(parsed_args.get("filepath"))[0])
-
- return parsed_args
-
- @classmethod
- def log_operation_info(cls, action_clause: str, duration_secs: Optional[float] = None) -> None:
- """Produces a formatted log INFO message used entirely for support purposes.
-
- This method is intended to be called for any entries that should be captured across aggregated
- log files to identify steps within a given pipeline and each of its operations. As a result,
- calls to this method should produce single-line entries in the log (no embedded newlines).
- Each entry is prefixed with the pipeline name.
-
- General logging should NOT use this method but use logger.() statements directly.
-
- :param action_clause: str representing the action that is being logged
- :param duration_secs: optional float value representing the duration of the action being logged
- """
- global pipeline_name, operation_name
- if enable_pipeline_info:
- duration_clause = f"({duration_secs:.3f} secs)" if duration_secs else ""
- logger.info(f"'{pipeline_name}':'{operation_name}' - {action_clause} {duration_clause}")
-
-
-def main():
- # Configure logger format, level
- logging.basicConfig(
- format="[%(levelname)1.1s %(asctime)s.%(msecs).03d] %(message)s", datefmt="%H:%M:%S", level=logging.DEBUG
- )
- # Setup packages and gather arguments
- input_params = OpUtil.parse_arguments(sys.argv[1:])
- OpUtil.log_operation_info("starting operation")
- t0 = time.time()
-
- # Create the appropriate instance, process dependencies and execute the operation
- file_op = FileOpBase.get_instance(**input_params)
-
- file_op.process_dependencies()
-
- file_op.execute()
-
- # Process notebook | script metrics and KFP UI metadata
- file_op.process_metrics_and_metadata()
-
- duration = time.time() - t0
- OpUtil.log_operation_info("operation completed", duration)
-
-
-if __name__ == "__main__":
- main()
\ No newline at end of file
diff --git a/runtimes/minimal/ubi8-python-3.8/utils/pip.conf b/runtimes/minimal/ubi8-python-3.8/utils/pip.conf
deleted file mode 100644
index 69a2baf4c..000000000
--- a/runtimes/minimal/ubi8-python-3.8/utils/pip.conf
+++ /dev/null
@@ -1,4 +0,0 @@
-# Copied from: https://github.com/elyra-ai/elyra/blob/main/etc/kfp/pip.conf
-
-[global]
-target=/opt/app-root/src/jupyter-work-dir/python3/
diff --git a/runtimes/minimal/ubi8-python-3.8/utils/requirements-elyra.txt b/runtimes/minimal/ubi8-python-3.8/utils/requirements-elyra.txt
deleted file mode 100644
index ddf75d0c5..000000000
--- a/runtimes/minimal/ubi8-python-3.8/utils/requirements-elyra.txt
+++ /dev/null
@@ -1,71 +0,0 @@
-# Copied from: https://github.com/elyra-ai/elyra/blob/main/etc/generic/requirements-elyra.txt
-
-# This is a comprehensive list of python dependencies that Elyra requires to execute Jupyter notebooks.
-ipykernel==6.13.0
-ipython==8.10.0
-ipython-genutils==0.2.0
-jinja2==3.1.4
-jupyter-client==7.3.1
-jupyter-core==4.11.2
-MarkupSafe==2.1.1
-minio==7.1.15
-nbclient==0.6.3
-nbconvert==7.1.0
-nbformat==5.4.0
-papermill==2.3.4
-pyzmq==24.0.1
-prompt-toolkit==3.0.30
-requests==2.31.0
-tornado==6.3.3
-traitlets==5.1.1
-urllib3==1.26.9
-#
-# These excluded are transitive dependencies of the included python packages.
-#ansiwrap==0.8.4
-#appnope==0.1.3
-#asttokens==2.0.5
-#attrs==21.4.0
-#backcall==0.2.0
-#beautifulsoup4==4.11.1
-#bleach==5.0.0
-#certifi==2021.10.8
-#charset-normalizer==2.0.12
-#click==8.1.3
-#debugpy==1.6.0
-#decorator==5.1.1
-#defusedxml==0.7.1
-#entrypoints==0.4
-#executing==0.8.3
-#fastjsonschema==2.15.3
-#idna==3.3
-#importlib-resources==5.7.1
-#jedi==0.18.1
-#jsonschema==4.5.1
-#jupyterlab-pygments==0.2.2
-#matplotlib-inline==0.1.3
-#mistune==0.8.4
-#nest-asyncio==1.5.5
-#packaging==21.3
-#pandocfilters==1.5.0
-#parso==0.8.3
-#pexpect==4.8.0
-#pickleshare==0.7.5
-#psutil==5.9.0
-#ptyprocess==0.7.0
-#pure-eval==0.2.2
-#Pygments==2.12.0
-#pyparsing==3.0.9
-#pyrsistent==0.18.1
-#python-dateutil==2.8.2
-#PyYAML==6.0
-#six==1.16.0
-#soupsieve==2.3.2.post1
-#stack-data==0.2.0
-#tenacity==8.0.1
-#textwrap3==0.9.2
-#tinycss2==1.1.1
-#tqdm==4.64.0
-#wcwidth==0.2.5
-#webencodings==0.5.1
-#zipp==3.8.0
-#
diff --git a/runtimes/pytorch/ubi8-python-3.8/Dockerfile b/runtimes/pytorch/ubi8-python-3.8/Dockerfile
deleted file mode 100644
index e62fb55a0..000000000
--- a/runtimes/pytorch/ubi8-python-3.8/Dockerfile
+++ /dev/null
@@ -1,28 +0,0 @@
-ARG BASE_IMAGE
-FROM ${BASE_IMAGE}
-
-LABEL name="odh-notebook-runtime-pytorch-ubi8-python-3.8" \
- summary="Runtime pytorch notebook image for ODH notebooks" \
- description="Runtime pytorch notebook image with base Python 3.8 builder image based on UBI8 for ODH notebooks" \
- io.k8s.display-name="Runtime pytorch notebook image for ODH notebooks" \
- io.k8s.description="Runtime pytorch notebook image with base Python 3.8 builder image based on UBI8 for ODH notebooks" \
- authoritative-source-url="https://github.com/opendatahub-io/notebooks" \
- io.openshift.build.commit.ref="main" \
- io.openshift.build.source-location="https://github.com/opendatahub-io/notebooks/tree/main/runtimes/pytorch/ubi8-python-3.8" \
- io.openshift.build.image="quay.io/opendatahub/workbench-images:runtime-pytorch-ubi8-python-3.8"
-
-WORKDIR /opt/app-root/bin
-
-# Install Python packages from Pipfile.lock
-COPY Pipfile.lock ./
-# Copy Elyra dependencies for air-gapped enviroment
-COPY utils ./utils/
-
-RUN echo "Installing softwares and packages" && \
- micropipenv install && \
- rm -f ./Pipfile.lock && \
- # Fix permissions to support pip in Openshift environments \
- chmod -R g+w /opt/app-root/lib/python3.8/site-packages && \
- fix-permissions /opt/app-root -P
-
-WORKDIR /opt/app-root/src
diff --git a/runtimes/pytorch/ubi8-python-3.8/Pipfile b/runtimes/pytorch/ubi8-python-3.8/Pipfile
deleted file mode 100644
index f32ba8071..000000000
--- a/runtimes/pytorch/ubi8-python-3.8/Pipfile
+++ /dev/null
@@ -1,55 +0,0 @@
-[[source]]
-url = "https://pypi.org/simple"
-verify_ssl = true
-name = "pypi"
-
-[[source]]
-url = "https://download.pytorch.org/whl/cu121"
-verify_ssl = true
-name = "pytorch"
-
-[dev-packages]
-
-[packages]
-# PyTorch packages
-tensorboard = "~=2.14.0"
-torch = {version = "~=2.2.1", index = "pytorch"}
-torchvision = {version = "~=0.17.1", index = "pytorch"}
-# Datascience and useful extensions
-kafka-python = "~=2.0.2"
-matplotlib = "~=3.7.5"
-numpy = "~=1.24.4"
-pandas = "~=2.0.3"
-plotly = "~=5.20.0"
-scikit-learn = "~=1.3.2"
-scipy = "~=1.10.1"
-skl2onnx = "~=1.16.0"
-codeflare-sdk = "~=0.16.3"
-networkx = "~=3.1.0" # Cap the version to 3.1.0 to avoid breaking changes in the future
-# DB connectors
-pymongo = "~=4.6.2"
-psycopg = "~=3.1.18"
-pyodbc = "~=5.1.0"
-mysql-connector-python = "~=8.3.0"
-# This is a comprehensive list of python dependencies that Elyra requires to execute Jupyter notebooks.
-ipykernel = "==6.13.0"
-ipython = "==8.10.0"
-ipython-genutils = "==0.2.0"
-jinja2 = "==3.1.4"
-jupyter-client = "==7.3.1"
-jupyter-core = "==4.11.2"
-MarkupSafe = "==2.1.1"
-minio = "==7.1.15"
-nbclient = "==0.6.3"
-nbconvert = "==7.1.0"
-nbformat = "==5.4.0"
-papermill = "==2.3.4"
-pyzmq = "==24.0.1"
-prompt-toolkit = "==3.0.30"
-requests = "==2.31.0"
-tornado = "==6.3.3"
-traitlets = "==5.1.1"
-urllib3 = "==1.26.18"
-
-[requires]
-python_version = "3.8"
diff --git a/runtimes/pytorch/ubi8-python-3.8/Pipfile.lock b/runtimes/pytorch/ubi8-python-3.8/Pipfile.lock
deleted file mode 100644
index 01d4bc03b..000000000
--- a/runtimes/pytorch/ubi8-python-3.8/Pipfile.lock
+++ /dev/null
@@ -1,3168 +0,0 @@
-{
- "_meta": {
- "hash": {
- "sha256": "b0be39864e0cd1ea43530da3af05b8aae25cd25cd08b9738293f250c7e35da93"
- },
- "pipfile-spec": 6,
- "requires": {
- "python_version": "3.8"
- },
- "sources": [
- {
- "name": "pypi",
- "url": "https://pypi.org/simple",
- "verify_ssl": true
- },
- {
- "name": "pytorch",
- "url": "https://download.pytorch.org/whl/cu121",
- "verify_ssl": true
- }
- ]
- },
- "default": {
- "absl-py": {
- "hashes": [
- "sha256:526a04eadab8b4ee719ce68f204172ead1027549089702d99b9059f129ff1308",
- "sha256:7820790efbb316739cde8b4e19357243fc3608a152024288513dd968d7d959ff"
- ],
- "markers": "python_version >= '3.7'",
- "version": "==2.1.0"
- },
- "aiohttp": {
- "hashes": [
- "sha256:0605cc2c0088fcaae79f01c913a38611ad09ba68ff482402d3410bf59039bfb8",
- "sha256:0a158704edf0abcac8ac371fbb54044f3270bdbc93e254a82b6c82be1ef08f3c",
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- ],
- "version": "==3.9.5"
- },
- "aiohttp-cors": {
- "hashes": [
- "sha256:0451ba59fdf6909d0e2cd21e4c0a43752bc0703d33fc78ae94d9d9321710193e",
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- ],
- "version": "==0.7.0"
- },
- "aiosignal": {
- "hashes": [
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- ],
- "markers": "python_version >= '3.7'",
- "version": "==1.3.1"
- },
- "ansiwrap": {
- "hashes": [
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- ],
- "version": "==0.8.4"
- },
- "asttokens": {
- "hashes": [
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- "sha256:b03869718ba9a6eb027e134bfdf69f38a236d681c83c160d510768af11254ba0"
- ],
- "version": "==2.4.1"
- },
- "async-timeout": {
- "hashes": [
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- ],
- "markers": "python_version < '3.11'",
- "version": "==4.0.3"
- },
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- }
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-}
diff --git a/runtimes/pytorch/ubi8-python-3.8/kustomize/base/kustomization.yaml b/runtimes/pytorch/ubi8-python-3.8/kustomize/base/kustomization.yaml
deleted file mode 100644
index 044992bef..000000000
--- a/runtimes/pytorch/ubi8-python-3.8/kustomize/base/kustomization.yaml
+++ /dev/null
@@ -1,14 +0,0 @@
----
-apiVersion: kustomize.config.k8s.io/v1beta1
-kind: Kustomization
-namePrefix: runtime-
-resources:
- - pod.yaml
-images:
- - name: runtime-workbench
- newName: quay.io/opendatahub/workbench-images
- newTag: runtime-pytorch-ubi8-python-3.8
-configMapGenerator:
- - name: req-config
- files:
- - requirements-elyra.txt
diff --git a/runtimes/pytorch/ubi8-python-3.8/kustomize/base/pod.yaml b/runtimes/pytorch/ubi8-python-3.8/kustomize/base/pod.yaml
deleted file mode 100644
index bc5343566..000000000
--- a/runtimes/pytorch/ubi8-python-3.8/kustomize/base/pod.yaml
+++ /dev/null
@@ -1,29 +0,0 @@
----
-apiVersion: v1
-kind: Pod
-metadata:
- name: pod
- labels:
- app: runtime-image
-spec:
- containers:
- - name: runtime
- image: runtime-workbench
- command: ["/bin/sh", "-c", "while true ; do date; sleep 1; done;"]
- imagePullPolicy: Always
- ports:
- - containerPort: 8080
- resources:
- limits:
- cpu: 500m
- memory: 500Mi
- requests:
- cpu: 500m
- memory: 500Mi
- volumeMounts:
- - name: config
- mountPath: /opt/app-root/elyra
- volumes:
- - name: config
- configMap:
- name: req-config
diff --git a/runtimes/pytorch/ubi8-python-3.8/kustomize/base/requirements-elyra.txt b/runtimes/pytorch/ubi8-python-3.8/kustomize/base/requirements-elyra.txt
deleted file mode 100644
index 91fb8e57d..000000000
--- a/runtimes/pytorch/ubi8-python-3.8/kustomize/base/requirements-elyra.txt
+++ /dev/null
@@ -1,20 +0,0 @@
-# This is a comprehensive list of python dependencies that Elyra requires to execute Jupyter notebooks.
-# This is copied from elyra directly: https://github.com/elyra-ai/elyra/blob/main/etc/generic/requirements-elyra.txt
-ipykernel==6.13.0
-ipython==8.10.0
-ipython-genutils==0.2.0
-jinja2==3.1.4
-jupyter-client==7.3.1
-jupyter-core==4.11.2
-MarkupSafe==2.1.1
-minio==7.1.15
-nbclient==0.6.3
-nbconvert==7.1.0
-nbformat==5.4.0
-papermill==2.3.4
-pyzmq==24.0.1
-prompt-toolkit==3.0.30
-requests==2.31.0
-tornado==6.3.3
-traitlets==5.1.1
-urllib3==1.26.18
diff --git a/runtimes/pytorch/ubi8-python-3.8/utils/bootstrapper.py b/runtimes/pytorch/ubi8-python-3.8/utils/bootstrapper.py
deleted file mode 100644
index 34a39cdcc..000000000
--- a/runtimes/pytorch/ubi8-python-3.8/utils/bootstrapper.py
+++ /dev/null
@@ -1,769 +0,0 @@
-# Copied from: https://github.com/elyra-ai/elyra/blob/main/elyra/kfp/bootstrapper.py
-#
-# Copyright 2018-2023 Elyra Authors
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-# http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-from abc import ABC
-from abc import abstractmethod
-import glob
-import json
-import logging
-import os
-from pathlib import Path
-import subprocess
-import sys
-from tempfile import TemporaryFile
-import time
-from typing import Any
-from typing import Dict
-from typing import Optional
-from typing import Type
-from typing import TypeVar
-from urllib.parse import urljoin
-from urllib.parse import urlparse
-from urllib.parse import urlunparse
-
-from packaging import version
-
-
-# Inputs and Outputs separator character. If updated,
-# same-named variable in _notebook_op.py must be updated!
-INOUT_SEPARATOR = ";"
-
-# Setup forward reference for type hint on return from class factory method. See
-# https://stackoverflow.com/questions/39205527/can-you-annotate-return-type-when-value-is-instance-of-cls/39205612#39205612
-F = TypeVar("F", bound="FileOpBase")
-
-logger = logging.getLogger("elyra")
-enable_pipeline_info = os.getenv("ELYRA_ENABLE_PIPELINE_INFO", "true").lower() == "true"
-pipeline_name = None # global used in formatted logging
-operation_name = None # global used in formatted logging
-
-
-class FileOpBase(ABC):
- """Abstract base class for file-based operations"""
-
- filepath = None
- cos_client = None
- cos_bucket = None
-
- @classmethod
- def get_instance(cls: Type[F], **kwargs: Any) -> F:
- """Creates an appropriate subclass instance based on the extension of the filepath (-f) argument"""
- filepath = kwargs["filepath"]
- if ".ipynb" in filepath:
- return NotebookFileOp(**kwargs)
- elif ".py" in filepath:
- return PythonFileOp(**kwargs)
- elif ".r" in filepath:
- return RFileOp(**kwargs)
- else:
- raise ValueError(f"Unsupported file type: {filepath}")
-
- def __init__(self, **kwargs: Any) -> None:
- """Initializes the FileOpBase instance"""
- import minio
- from minio.credentials import providers
-
- self.filepath = kwargs["filepath"]
- self.input_params = kwargs or {}
- self.cos_endpoint = urlparse(self.input_params.get("cos-endpoint"))
- self.cos_bucket = self.input_params.get("cos-bucket")
-
- self.parameter_pass_method = self.input_params.get("parameter_pass_method")
- self.pipeline_param_dict = self.convert_param_str_to_dict(self.input_params.get("pipeline_parameters"))
-
- # Infer secure from the endpoint's scheme.
- self.secure = self.cos_endpoint.scheme == "https"
-
- # get minio credentials provider
- if "cos-user" in self.input_params and "cos-password" in self.input_params:
- cred_provider = providers.StaticProvider(
- access_key=self.input_params.get("cos-user"),
- secret_key=self.input_params.get("cos-password"),
- )
- elif "AWS_ACCESS_KEY_ID" in os.environ and "AWS_SECRET_ACCESS_KEY" in os.environ:
- cred_provider = providers.EnvAWSProvider()
- elif "AWS_ROLE_ARN" in os.environ and "AWS_WEB_IDENTITY_TOKEN_FILE" in os.environ:
- cred_provider = providers.IamAwsProvider()
- else:
- raise RuntimeError(
- "No minio credentials provider can be initialised for current configs. "
- "Please validate your runtime configuration details and retry."
- )
-
- # get minio client
- self.cos_client = minio.Minio(self.cos_endpoint.netloc, secure=self.secure, credentials=cred_provider)
-
- @abstractmethod
- def execute(self) -> None:
- """Execute the operation relative to derived class"""
- raise NotImplementedError("Method 'execute()' must be implemented by subclasses!")
-
- def process_dependencies(self) -> None:
- """Process dependencies
-
- If a dependency archive is present, it will be downloaded from object storage
- and expanded into the local directory.
-
- This method can be overridden by subclasses, although overrides should first
- call the superclass method.
- """
- OpUtil.log_operation_info("processing dependencies")
- t0 = time.time()
- archive_file = self.input_params.get("cos-dependencies-archive")
-
- self.get_file_from_object_storage(archive_file)
-
- inputs = self.input_params.get("inputs")
- if inputs:
- input_list = inputs.split(INOUT_SEPARATOR)
- for file in input_list:
- self.get_file_from_object_storage(file.strip())
-
- subprocess.call(["tar", "-zxvf", archive_file])
- duration = time.time() - t0
- OpUtil.log_operation_info("dependencies processed", duration)
-
- def process_outputs(self) -> None:
- """Process outputs
-
- If outputs have been specified, it will upload the appropriate files to object storage
-
- This method can be overridden by subclasses, although overrides should first
- call the superclass method.
- """
- OpUtil.log_operation_info("processing outputs")
- t0 = time.time()
- outputs = self.input_params.get("outputs")
- if outputs:
- output_list = outputs.split(INOUT_SEPARATOR)
- for file in output_list:
- self.process_output_file(file.strip())
- duration = time.time() - t0
- OpUtil.log_operation_info("outputs processed", duration)
-
- def process_metrics_and_metadata(self) -> None:
- """Process metrics and metadata
-
- This method exposes metrics/metadata that the processed
- notebook | script produces in the KFP UI.
-
- This method should not be overridden by subclasses.
- """
-
- OpUtil.log_operation_info("processing metrics and metadata")
- t0 = time.time()
-
- # Location where the KFP specific output files will be stored
- # in the environment where the bootsrapper is running.
- # Defaults to '/tmp' if not specified.
- output_path = Path(os.getenv("ELYRA_WRITABLE_CONTAINER_DIR", "/tmp"))
-
- # verify that output_path exists, is a directory
- # and writable by creating a temporary file in that location
- try:
- with TemporaryFile(mode="w", dir=output_path) as t:
- t.write("can write")
- except Exception:
- # output_path doesn't meet the requirements
- # treat this as a non-fatal error and log a warning
- logger.warning(f'Cannot create files in "{output_path}".')
- OpUtil.log_operation_info("Aborted metrics and metadata processing", time.time() - t0)
- return
-
- # Name of the proprietary KFP UI metadata file.
- # Notebooks | scripts might (but don't have to) produce this file
- # as documented in
- # https://www.kubeflow.org/docs/pipelines/sdk/output-viewer/
- # Each ExecuteFileOp must declare this as an output file or
- # the KFP UI won't pick up the information.
- kfp_ui_metadata_filename = "mlpipeline-ui-metadata.json"
-
- # Name of the proprietary KFP metadata file.
- # Notebooks | scripts might (but don't have to) produce this file
- # as documented in
- # https://www.kubeflow.org/docs/pipelines/sdk/pipelines-metrics/
- # Each ExecuteFileOp must declare this as an output file or
- # the KFP UI won't pick up the information.
- kfp_metrics_filename = "mlpipeline-metrics.json"
-
- # If the notebook | Python script produced one of the files
- # copy it to the target location where KFP is looking for it.
- for filename in [kfp_ui_metadata_filename, kfp_metrics_filename]:
- try:
- src = Path(".") / filename
- logger.debug(f"Processing {src} ...")
- # try to load the file, if one was created by the
- # notebook or script
- with open(src, "r") as f:
- metadata = json.load(f)
-
- # the file exists and contains valid JSON
- logger.debug(f"File content: {json.dumps(metadata)}")
-
- target = output_path / filename
- # try to save the file in the destination location
- with open(target, "w") as f:
- json.dump(metadata, f)
- except FileNotFoundError:
- # The script | notebook didn't produce the file
- # we are looking for. This is not an error condition
- # that needs to be handled.
- logger.debug(f"{self.filepath} produced no file named {src}")
- except ValueError as ve:
- # The file content could not be parsed. Log a warning
- # and treat this as a non-fatal error.
- logger.warning(f"Ignoring incompatible {str(src)} produced by {self.filepath}: {ve} {str(ve)}")
- except Exception as ex:
- # Something is wrong with the user-generated metadata file.
- # Log a warning and treat this as a non-fatal error.
- logger.warning(f"Error processing {str(src)} produced by {self.filepath}: {ex} {str(ex)}")
-
- #
- # Augment kfp_ui_metadata_filename with Elyra-specific information:
- # - link to object storage where input and output artifacts are
- # stored
- ui_metadata_output = output_path / kfp_ui_metadata_filename
- try:
- # re-load the file
- with open(ui_metadata_output, "r") as f:
- metadata = json.load(f)
- except Exception:
- # ignore all errors
- metadata = {}
-
- # Assure the 'output' property exists and is of the correct type
- if metadata.get("outputs", None) is None or not isinstance(metadata["outputs"], list):
- metadata["outputs"] = []
-
- # Define HREF for COS bucket:
- # //
- bucket_url = urljoin(
- urlunparse(self.cos_endpoint), f"{self.cos_bucket}/{self.input_params.get('cos-directory', '')}/"
- )
-
- # add Elyra metadata to 'outputs'
- metadata["outputs"].append(
- {
- "storage": "inline",
- "source": f"## Inputs for {self.filepath}\n"
- f"[{self.input_params['cos-dependencies-archive']}]({bucket_url})",
- "type": "markdown",
- }
- )
-
- # print the content of the augmented metadata file
- logger.debug(f"Output UI metadata: {json.dumps(metadata)}")
-
- logger.debug(f"Saving UI metadata file as {ui_metadata_output} ...")
-
- # Save [updated] KFP UI metadata file
- with open(ui_metadata_output, "w") as f:
- json.dump(metadata, f)
-
- duration = time.time() - t0
- OpUtil.log_operation_info("metrics and metadata processed", duration)
-
- def get_object_storage_filename(self, filename: str) -> str:
- """Function to pre-pend cloud storage working dir to file name
-
- :param filename: the local file
- :return: the full path of the object storage file
- """
- return os.path.join(self.input_params.get("cos-directory", ""), filename)
-
- def get_file_from_object_storage(self, file_to_get: str) -> None:
- """Utility function to get files from an object storage
-
- :param file_to_get: filename
- """
-
- object_to_get = self.get_object_storage_filename(file_to_get)
- t0 = time.time()
- self.cos_client.fget_object(bucket_name=self.cos_bucket, object_name=object_to_get, file_path=file_to_get)
- duration = time.time() - t0
- OpUtil.log_operation_info(
- f"downloaded {file_to_get} from bucket: {self.cos_bucket}, object: {object_to_get}", duration
- )
-
- def put_file_to_object_storage(self, file_to_upload: str, object_name: Optional[str] = None) -> None:
- """Utility function to put files into an object storage
-
- :param file_to_upload: filename
- :param object_name: remote filename (used to rename)
- """
-
- object_to_upload = object_name
- if not object_to_upload:
- object_to_upload = file_to_upload
-
- object_to_upload = self.get_object_storage_filename(object_to_upload)
- t0 = time.time()
- self.cos_client.fput_object(bucket_name=self.cos_bucket, object_name=object_to_upload, file_path=file_to_upload)
- duration = time.time() - t0
- OpUtil.log_operation_info(
- f"uploaded {file_to_upload} to bucket: {self.cos_bucket} object: {object_to_upload}", duration
- )
-
- def has_wildcard(self, filename):
- wildcards = ["*", "?"]
- return bool(any(c in filename for c in wildcards))
-
- def process_output_file(self, output_file):
- """Puts the file to object storage. Handles wildcards and directories."""
-
- matched_files = [output_file]
- if self.has_wildcard(output_file): # explode the wildcarded file
- matched_files = glob.glob(output_file)
-
- for matched_file in matched_files:
- if os.path.isdir(matched_file):
- for file in os.listdir(matched_file):
- self.process_output_file(os.path.join(matched_file, file))
- else:
- self.put_file_to_object_storage(matched_file)
-
- def convert_param_str_to_dict(self, pipeline_parameters: Optional[str] = None) -> Dict[str, Any]:
- """Convert INOUT-separated string of pipeline parameters into a dictionary."""
- parameter_dict = {}
- if pipeline_parameters:
- parameter_list = pipeline_parameters.split(INOUT_SEPARATOR)
- for parameter in parameter_list:
- param_name, value = parameter.split("=", 1)
- if self.parameter_pass_method == "env" and (not value or not isinstance(value, str)):
- continue # env vars must be non-empty strings
- parameter_dict[param_name] = value
- return parameter_dict
-
- def set_parameters_in_env(self) -> None:
- """Make pipeline parameters available as environment variables."""
- for name, value in self.pipeline_param_dict.items():
- if name in os.environ:
- continue # avoid overwriting env vars with the same name
- os.environ[name] = value
-
-
-class NotebookFileOp(FileOpBase):
- """Perform Notebook File Operation"""
-
- def execute(self) -> None:
- """Execute the Notebook and upload results to object storage"""
- notebook = os.path.basename(self.filepath)
- notebook_name = notebook.replace(".ipynb", "")
- notebook_output = f"{notebook_name}-output.ipynb"
- notebook_html = f"{notebook_name}.html"
-
- try:
- OpUtil.log_operation_info(f"executing notebook using 'papermill {notebook} {notebook_output}'")
- t0 = time.time()
- # Include kernel selection in execution time
- kernel_name = NotebookFileOp.find_best_kernel(notebook)
-
- kwargs = {}
- if self.parameter_pass_method == "env":
- self.set_parameters_in_env()
-
- import papermill
-
- papermill.execute_notebook(notebook, notebook_output, kernel_name=kernel_name, **kwargs)
- duration = time.time() - t0
- OpUtil.log_operation_info("notebook execution completed", duration)
-
- NotebookFileOp.convert_notebook_to_html(notebook_output, notebook_html)
- self.put_file_to_object_storage(notebook_output, notebook)
- self.put_file_to_object_storage(notebook_html)
- self.process_outputs()
- except Exception as ex:
- # log in case of errors
- logger.error(f"Unexpected error: {sys.exc_info()[0]}")
-
- NotebookFileOp.convert_notebook_to_html(notebook_output, notebook_html)
- self.put_file_to_object_storage(notebook_output, notebook)
- self.put_file_to_object_storage(notebook_html)
- raise ex
-
- @staticmethod
- def convert_notebook_to_html(notebook_file: str, html_file: str) -> str:
- """Function to convert a Jupyter notebook file (.ipynb) into an html file
-
- :param notebook_file: object storage client
- :param html_file: name of what the html output file should be
- :return: html_file: the converted notebook in html format
- """
- import nbconvert
- import nbformat
-
- OpUtil.log_operation_info(f"converting from {notebook_file} to {html_file}")
- t0 = time.time()
- nb = nbformat.read(notebook_file, as_version=4)
- html_exporter = nbconvert.HTMLExporter()
- data, resources = html_exporter.from_notebook_node(nb)
- with open(html_file, "w") as f:
- f.write(data)
- f.close()
-
- duration = time.time() - t0
- OpUtil.log_operation_info(f"{notebook_file} converted to {html_file}", duration)
- return html_file
-
- @staticmethod
- def find_best_kernel(notebook_file: str) -> str:
- """Determines the best kernel to use via the following algorithm:
-
- 1. Loads notebook and gets kernel_name and kernel_language from NB metadata.
- 2. Gets the list of configured kernels using KernelSpecManager.
- 3. If notebook kernel_name is in list, use that, else
- 4. If not found, load each configured kernel.json file and find a language match.
- 5. On first match, log info message regarding the switch and use that kernel.
- 6. If no language match is found, revert to notebook kernel and log warning message.
- """
- from jupyter_client.kernelspec import KernelSpecManager
- import nbformat
-
- nb = nbformat.read(notebook_file, 4)
-
- nb_kspec = nb.metadata.kernelspec
- nb_kernel_name = nb_kspec.get("name")
- nb_kernel_lang = nb_kspec.get("language")
-
- kernel_specs = KernelSpecManager().find_kernel_specs()
-
- # see if we have a direct match...
- if nb_kernel_name in kernel_specs.keys():
- return nb_kernel_name
-
- # no match found for kernel, try matching language...
- for name, file in kernel_specs.items():
- # load file (JSON) and pick out language, if match, use first found
- with open(os.path.join(file, "kernel.json")) as f:
- kspec = json.load(f)
- if kspec.get("language").lower() == nb_kernel_lang.lower():
- matched_kernel = os.path.basename(file)
- logger.info(
- f"Matched kernel by language ({nb_kernel_lang}), using kernel "
- f"'{matched_kernel}' instead of the missing kernel '{nb_kernel_name}'."
- )
- return matched_kernel
-
- # no match found for language, return notebook kernel and let execution fail
- logger.warning(
- f"Reverting back to missing notebook kernel '{nb_kernel_name}' since no "
- f"language match ({nb_kernel_lang}) was found in current kernel specifications."
- )
- return nb_kernel_name
-
-
-class PythonFileOp(FileOpBase):
- """Perform Python File Operation"""
-
- def execute(self) -> None:
- """Execute the Python script and upload results to object storage"""
- python_script = os.path.basename(self.filepath)
- python_script_name = python_script.replace(".py", "")
- # python_script_output = f"{python_script_name}.log"
-
- try:
- OpUtil.log_operation_info(
- f"executing python script using 'python3 {python_script}'"
- )
- t0 = time.time()
-
- run_args = ["python3", python_script]
- if self.parameter_pass_method == "env":
- self.set_parameters_in_env()
-
- logger.info("----------------------Python logs start----------------------")
- # Removing support for the s3 storage of python script logs
- # with open(python_script_output, "w") as log_file:
- # process = subprocess.Popen(run_args, stdout=subprocess.PIPE, stderr=subprocess.STDOUT)
- process = subprocess.Popen(run_args, stdout=subprocess.PIPE, stderr=subprocess.STDOUT)
-
- for line in iter(process.stdout.readline, b''):
- sys.stdout.write(line.decode())
-
- process.stdout.close()
- return_code = process.wait()
- logger.info("----------------------Python logs ends----------------------")
- if return_code:
- raise subprocess.CalledProcessError(return_code, run_args)
- duration = time.time() - t0
- OpUtil.log_operation_info("python script execution completed", duration)
-
- # self.put_file_to_object_storage(python_script_output, python_script_output)
- self.process_outputs()
- except Exception as ex:
- # log in case of errors
- logger.error(f"Unexpected error: {sys.exc_info()[0]}")
- logger.error(f"Error details: {ex}")
-
- # self.put_file_to_object_storage(python_script_output, python_script_output)
- raise ex
-
-
-class RFileOp(FileOpBase):
- """Perform R File Operation"""
-
- def execute(self) -> None:
- """Execute the R script and upload results to object storage"""
- r_script = os.path.basename(self.filepath)
- r_script_name = r_script.replace(".r", "")
- # r_script_output = f"{r_script_name}.log"
-
- try:
- OpUtil.log_operation_info(f"executing R script using 'Rscript {r_script}'")
- t0 = time.time()
-
- run_args = ["Rscript", r_script]
- if self.parameter_pass_method == "env":
- self.set_parameters_in_env()
-
- logger.info("----------------------R script logs start----------------------")
- # Removing support for the s3 storage of R script logs
- # with open(r_script_output, "w") as log_file:
- # process = subprocess.Popen(run_args, stdout=subprocess.PIPE, stderr=subprocess.STDOUT)
- process = subprocess.Popen(run_args, stdout=subprocess.PIPE, stderr=subprocess.STDOUT)
-
- for line in iter(process.stdout.readline, b''):
- sys.stdout.write(line.decode())
-
- process.stdout.close()
- return_code = process.wait()
- logger.info("----------------------R script logs ends----------------------")
- if return_code:
- raise subprocess.CalledProcessError(return_code, run_args)
-
- duration = time.time() - t0
- OpUtil.log_operation_info("R script execution completed", duration)
-
- # self.put_file_to_object_storage(r_script_output, r_script_output)
- self.process_outputs()
- except Exception as ex:
- # log in case of errors
- logger.error(f"Unexpected error: {sys.exc_info()[0]}")
- logger.error(f"Error details: {ex}")
-
- # self.put_file_to_object_storage(r_script_output, r_script_output)
- raise ex
-
-
-class OpUtil(object):
- """Utility functions for preparing file execution."""
-
- @classmethod
- def package_install(cls, user_volume_path) -> None:
- OpUtil.log_operation_info("Installing packages")
- t0 = time.time()
- requirements_file = cls.determine_elyra_requirements()
- elyra_packages = cls.package_list_to_dict(requirements_file)
- current_packages = cls.package_list_to_dict("requirements-current.txt")
- to_install_list = []
-
- for package, ver in elyra_packages.items():
- if package in current_packages:
- if current_packages[package] is None:
- logger.warning(
- f"WARNING: Source package '{package}' found already installed as an "
- "editable package. This may conflict with the required version: "
- f"{ver} . Skipping..."
- )
- continue
- try:
- version.Version(current_packages[package])
- except version.InvalidVersion: # current version is not PEP-440 compliant
- logger.warning(
- f"WARNING: Source package '{package}' found already installed from "
- f"{current_packages[package]}. This may conflict with the required "
- f"version: {ver} . Skipping..."
- )
- continue
- if version.Version(ver) > version.Version(current_packages[package]):
- logger.info(f"Updating {package} package from version {current_packages[package]} to {ver}...")
- to_install_list.append(f"{package}=={ver}")
- elif version.Version(ver) < version.Version(current_packages[package]):
- logger.info(
- f"Newer {package} package with version {current_packages[package]} "
- f"already installed. Skipping..."
- )
- else:
- logger.info(f"Package not found. Installing {package} package with version {ver}...")
- to_install_list.append(f"{package}=={ver}")
-
- if to_install_list:
- if user_volume_path:
- to_install_list.insert(0, f"--target={user_volume_path}")
- to_install_list.append("--no-cache-dir")
-
- subprocess.run([sys.executable, "-m", "pip", "install"] + to_install_list, check=True)
-
- if user_volume_path:
- os.environ["PIP_CONFIG_FILE"] = f"{user_volume_path}/pip.conf"
-
- subprocess.run([sys.executable, "-m", "pip", "freeze"])
- duration = time.time() - t0
- OpUtil.log_operation_info("Packages installed", duration)
-
- @classmethod
- def determine_elyra_requirements(cls) -> Any:
- if sys.version_info.major == 3:
- if sys.version_info.minor in [8, 9, 10, 11]:
- return "requirements-elyra.txt"
- logger.error(
- f"This version of Python '{sys.version_info.major}.{sys.version_info.minor}' "
- f"is not supported for Elyra generic components"
- )
- return None
-
- @classmethod
- def package_list_to_dict(cls, filename: str) -> dict:
- package_dict = {}
- with open(filename) as fh:
- for line in fh:
- if line[0] != "#":
- if " @ " in line:
- package_name, package_version = line.strip("\n").split(sep=" @ ")
- elif "===" in line:
- package_name, package_version = line.strip("\n").split(sep="===")
- elif "==" in line:
- package_name, package_version = line.strip("\n").split(sep="==")
- elif line.startswith("-e ") or line.startswith("--editable "):
- package_name = line.strip("\n").replace("-e ", "").replace("--editable ", "")
- if "#egg=" in package_name: # editable package from version control system
- package_name = package_name.split("=")[-1]
- elif "/" in package_name: # editable package from local directory
- package_name = os.path.basename(package_name)
- package_version = None
- else:
- # Tolerate other formats but do not add to package list
- continue
-
- package_dict[package_name] = package_version
-
- return package_dict
-
- @classmethod
- def parse_arguments(cls, args) -> dict:
- import argparse
-
- global pipeline_name, operation_name
-
- logger.debug("Parsing Arguments.....")
- parser = argparse.ArgumentParser()
- parser.add_argument(
- "-e", "--cos-endpoint", dest="cos-endpoint", help="Cloud object storage endpoint", required=True
- )
- parser.add_argument(
- "-b", "--cos-bucket", dest="cos-bucket", help="Cloud object storage bucket to use", required=True
- )
- parser.add_argument(
- "-d",
- "--cos-directory",
- dest="cos-directory",
- help="Working directory in cloud object storage bucket to use",
- required=True,
- )
- parser.add_argument(
- "-t",
- "--cos-dependencies-archive",
- dest="cos-dependencies-archive",
- help="Archive containing notebook and dependency artifacts",
- required=True,
- )
- parser.add_argument("-f", "--file", dest="filepath", help="File to execute", required=True)
- parser.add_argument("-o", "--outputs", dest="outputs", help="Files to output to object store", required=False)
- parser.add_argument("-i", "--inputs", dest="inputs", help="Files to pull in from parent node", required=False)
- parser.add_argument(
- "-p",
- "--user-volume-path",
- dest="user-volume-path",
- help="Directory in Volume to install python libraries into",
- required=False,
- )
- parser.add_argument(
- "-n",
- "--pipeline-name",
- dest="pipeline-name",
- help="Pipeline name",
- required=True,
- )
- parser.add_argument(
- "-r",
- "--pipeline-parameters",
- dest="pipeline_parameters",
- help="Pipeline parameters that apply to this node",
- required=False,
- )
- parser.add_argument(
- "-m",
- "--parameter-pass-method",
- dest="parameter_pass_method",
- choices=["env"],
- help="The method by which pipeline parameters should be applied to this node.",
- required=False,
- )
- parsed_args = vars(parser.parse_args(args))
-
- # set pipeline name as global
- pipeline_name = parsed_args.get("pipeline-name")
- # operation/node name is the basename of the non-suffixed filepath, set as global
- operation_name = os.path.basename(os.path.splitext(parsed_args.get("filepath"))[0])
-
- return parsed_args
-
- @classmethod
- def log_operation_info(cls, action_clause: str, duration_secs: Optional[float] = None) -> None:
- """Produces a formatted log INFO message used entirely for support purposes.
-
- This method is intended to be called for any entries that should be captured across aggregated
- log files to identify steps within a given pipeline and each of its operations. As a result,
- calls to this method should produce single-line entries in the log (no embedded newlines).
- Each entry is prefixed with the pipeline name.
-
- General logging should NOT use this method but use logger.() statements directly.
-
- :param action_clause: str representing the action that is being logged
- :param duration_secs: optional float value representing the duration of the action being logged
- """
- global pipeline_name, operation_name
- if enable_pipeline_info:
- duration_clause = f"({duration_secs:.3f} secs)" if duration_secs else ""
- logger.info(f"'{pipeline_name}':'{operation_name}' - {action_clause} {duration_clause}")
-
-
-def main():
- # Configure logger format, level
- logging.basicConfig(
- format="[%(levelname)1.1s %(asctime)s.%(msecs).03d] %(message)s", datefmt="%H:%M:%S", level=logging.DEBUG
- )
- # Setup packages and gather arguments
- input_params = OpUtil.parse_arguments(sys.argv[1:])
- OpUtil.log_operation_info("starting operation")
- t0 = time.time()
-
- # Create the appropriate instance, process dependencies and execute the operation
- file_op = FileOpBase.get_instance(**input_params)
-
- file_op.process_dependencies()
-
- file_op.execute()
-
- # Process notebook | script metrics and KFP UI metadata
- file_op.process_metrics_and_metadata()
-
- duration = time.time() - t0
- OpUtil.log_operation_info("operation completed", duration)
-
-
-if __name__ == "__main__":
- main()
\ No newline at end of file
diff --git a/runtimes/pytorch/ubi8-python-3.8/utils/pip.conf b/runtimes/pytorch/ubi8-python-3.8/utils/pip.conf
deleted file mode 100644
index 69a2baf4c..000000000
--- a/runtimes/pytorch/ubi8-python-3.8/utils/pip.conf
+++ /dev/null
@@ -1,4 +0,0 @@
-# Copied from: https://github.com/elyra-ai/elyra/blob/main/etc/kfp/pip.conf
-
-[global]
-target=/opt/app-root/src/jupyter-work-dir/python3/
diff --git a/runtimes/pytorch/ubi8-python-3.8/utils/requirements-elyra.txt b/runtimes/pytorch/ubi8-python-3.8/utils/requirements-elyra.txt
deleted file mode 100644
index ddf75d0c5..000000000
--- a/runtimes/pytorch/ubi8-python-3.8/utils/requirements-elyra.txt
+++ /dev/null
@@ -1,71 +0,0 @@
-# Copied from: https://github.com/elyra-ai/elyra/blob/main/etc/generic/requirements-elyra.txt
-
-# This is a comprehensive list of python dependencies that Elyra requires to execute Jupyter notebooks.
-ipykernel==6.13.0
-ipython==8.10.0
-ipython-genutils==0.2.0
-jinja2==3.1.4
-jupyter-client==7.3.1
-jupyter-core==4.11.2
-MarkupSafe==2.1.1
-minio==7.1.15
-nbclient==0.6.3
-nbconvert==7.1.0
-nbformat==5.4.0
-papermill==2.3.4
-pyzmq==24.0.1
-prompt-toolkit==3.0.30
-requests==2.31.0
-tornado==6.3.3
-traitlets==5.1.1
-urllib3==1.26.9
-#
-# These excluded are transitive dependencies of the included python packages.
-#ansiwrap==0.8.4
-#appnope==0.1.3
-#asttokens==2.0.5
-#attrs==21.4.0
-#backcall==0.2.0
-#beautifulsoup4==4.11.1
-#bleach==5.0.0
-#certifi==2021.10.8
-#charset-normalizer==2.0.12
-#click==8.1.3
-#debugpy==1.6.0
-#decorator==5.1.1
-#defusedxml==0.7.1
-#entrypoints==0.4
-#executing==0.8.3
-#fastjsonschema==2.15.3
-#idna==3.3
-#importlib-resources==5.7.1
-#jedi==0.18.1
-#jsonschema==4.5.1
-#jupyterlab-pygments==0.2.2
-#matplotlib-inline==0.1.3
-#mistune==0.8.4
-#nest-asyncio==1.5.5
-#packaging==21.3
-#pandocfilters==1.5.0
-#parso==0.8.3
-#pexpect==4.8.0
-#pickleshare==0.7.5
-#psutil==5.9.0
-#ptyprocess==0.7.0
-#pure-eval==0.2.2
-#Pygments==2.12.0
-#pyparsing==3.0.9
-#pyrsistent==0.18.1
-#python-dateutil==2.8.2
-#PyYAML==6.0
-#six==1.16.0
-#soupsieve==2.3.2.post1
-#stack-data==0.2.0
-#tenacity==8.0.1
-#textwrap3==0.9.2
-#tinycss2==1.1.1
-#tqdm==4.64.0
-#wcwidth==0.2.5
-#webencodings==0.5.1
-#zipp==3.8.0
-#
diff --git a/runtimes/tensorflow/ubi8-python-3.8/Dockerfile b/runtimes/tensorflow/ubi8-python-3.8/Dockerfile
deleted file mode 100644
index 30a84b128..000000000
--- a/runtimes/tensorflow/ubi8-python-3.8/Dockerfile
+++ /dev/null
@@ -1,28 +0,0 @@
-ARG BASE_IMAGE
-FROM ${BASE_IMAGE}
-
-LABEL name="odh-notebook-cuda-runtime-tensorflow-ubi8-python-3.8" \
- summary="Runtime CUDA tensorflow notebook image for ODH notebooks" \
- description="Runtime CUDA tensorflow notebook image with base Python 3.8 builder image based on UBI8 for ODH notebooks" \
- io.k8s.display-name="Runtime CUDA tensorflow notebook image for ODH notebooks" \
- io.k8s.description="Runtime CUDA tensorflow notebook image with base Python 3.8 builder image based on UBI8 for ODH notebooks" \
- authoritative-source-url="https://github.com/opendatahub-io/notebooks" \
- io.openshift.build.commit.ref="main" \
- io.openshift.build.source-location="https://github.com/opendatahub-io/notebooks/tree/main/runtimes/tensorflow/ubi8-python-3.8" \
- io.openshift.build.image="quay.io/opendatahub/workbench-images:cuda-runtime-tensorflow-ubi8-python-3.8"
-
-WORKDIR /opt/app-root/bin
-
-# Install Python packages from Pipfile.lock
-COPY Pipfile.lock ./
-# Copy Elyra dependencies for air-gapped enviroment
-COPY utils ./utils/
-
-RUN echo "Installing softwares and packages" && \
- micropipenv install && \
- rm -f ./Pipfile.lock && \
- # Fix permissions to support pip in Openshift environments \
- chmod -R g+w /opt/app-root/lib/python3.8/site-packages && \
- fix-permissions /opt/app-root -P
-
-WORKDIR /opt/app-root/src
diff --git a/runtimes/tensorflow/ubi8-python-3.8/Pipfile b/runtimes/tensorflow/ubi8-python-3.8/Pipfile
deleted file mode 100644
index 09091efae..000000000
--- a/runtimes/tensorflow/ubi8-python-3.8/Pipfile
+++ /dev/null
@@ -1,50 +0,0 @@
-[[source]]
-url = "https://pypi.org/simple"
-verify_ssl = true
-name = "pypi"
-
-[dev-packages]
-
-[packages]
-# TensorFlow packages
-tensorflow = "~=2.13.0"
-tensorboard = "~=2.13.0"
-tf2onnx = "~= 1.16.1"
-# Datascience and useful extensions
-kafka-python = "~=2.0.2"
-matplotlib = "~=3.7.5"
-numpy = "~=1.24.3"
-pandas = "~=2.0.3"
-plotly = "~=5.20.0"
-scikit-learn = "~=1.3.2"
-scipy = "~=1.10.1"
-skl2onnx = "~=1.16.0"
-onnxconverter-common = "~=1.13.0" # Required for skl2onnx, as upgraded version is not compatible with protobuf
-codeflare-sdk = "~=0.16.3"
-# DB connectors
-pymongo = "~=4.6.2"
-psycopg = "~=3.1.18"
-pyodbc = "~=5.1.0"
-mysql-connector-python = "~=8.3.0"
-# This is a comprehensive list of python dependencies that Elyra requires to execute Jupyter notebooks.
-ipykernel = "==6.13.0"
-ipython = "==8.10.0"
-ipython-genutils = "==0.2.0"
-jinja2 = "==3.1.4"
-jupyter-client = "==7.3.1"
-jupyter-core = "==4.11.2"
-MarkupSafe = "==2.1.1"
-minio = "==7.1.15"
-nbclient = "==0.6.3"
-nbconvert = "==7.1.0"
-nbformat = "==5.4.0"
-papermill = "==2.3.4"
-pyzmq = "==24.0.1"
-prompt-toolkit = "==3.0.30"
-requests = "==2.31.0"
-tornado = "==6.3.3"
-traitlets = "==5.1.1"
-urllib3 = "==1.26.18"
-
-[requires]
-python_version = "3.8"
diff --git a/runtimes/tensorflow/ubi8-python-3.8/Pipfile.lock b/runtimes/tensorflow/ubi8-python-3.8/Pipfile.lock
deleted file mode 100644
index b270d42e9..000000000
--- a/runtimes/tensorflow/ubi8-python-3.8/Pipfile.lock
+++ /dev/null
@@ -1,3163 +0,0 @@
-{
- "_meta": {
- "hash": {
- "sha256": "66038ff3936bccba6ba6f8f7bb6e2a1fde67e15c6dc2a825835996462fb41299"
- },
- "pipfile-spec": 6,
- "requires": {
- "python_version": "3.8"
- },
- "sources": [
- {
- "name": "pypi",
- "url": "https://pypi.org/simple",
- "verify_ssl": true
- }
- ]
- },
- "default": {
- "absl-py": {
- "hashes": [
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- "sha256:7820790efbb316739cde8b4e19357243fc3608a152024288513dd968d7d959ff"
- ],
- "markers": "python_version >= '3.7'",
- "version": "==2.1.0"
- },
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- "version": "==1.9.4"
- },
- "zipp": {
- "hashes": [
- "sha256:bf1dcf6450f873a13e952a29504887c89e6de7506209e5b1bcc3460135d4de19",
- "sha256:f091755f667055f2d02b32c53771a7a6c8b47e1fdbc4b72a8b9072b3eef8015c"
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- "markers": "python_version >= '3.8'",
- "version": "==3.19.2"
- }
- },
- "develop": {}
-}
diff --git a/runtimes/tensorflow/ubi8-python-3.8/kustomize/base/kustomization.yaml b/runtimes/tensorflow/ubi8-python-3.8/kustomize/base/kustomization.yaml
deleted file mode 100644
index 547a3e656..000000000
--- a/runtimes/tensorflow/ubi8-python-3.8/kustomize/base/kustomization.yaml
+++ /dev/null
@@ -1,14 +0,0 @@
----
-apiVersion: kustomize.config.k8s.io/v1beta1
-kind: Kustomization
-namePrefix: runtime-
-resources:
- - pod.yaml
-images:
- - name: runtime-workbench
- newName: quay.io/opendatahub/workbench-images
- newTag: runtime-cuda-tensorflow-ubi8-python-3.8
-configMapGenerator:
- - name: req-config
- files:
- - requirements-elyra.txt
diff --git a/runtimes/tensorflow/ubi8-python-3.8/kustomize/base/pod.yaml b/runtimes/tensorflow/ubi8-python-3.8/kustomize/base/pod.yaml
deleted file mode 100644
index bc5343566..000000000
--- a/runtimes/tensorflow/ubi8-python-3.8/kustomize/base/pod.yaml
+++ /dev/null
@@ -1,29 +0,0 @@
----
-apiVersion: v1
-kind: Pod
-metadata:
- name: pod
- labels:
- app: runtime-image
-spec:
- containers:
- - name: runtime
- image: runtime-workbench
- command: ["/bin/sh", "-c", "while true ; do date; sleep 1; done;"]
- imagePullPolicy: Always
- ports:
- - containerPort: 8080
- resources:
- limits:
- cpu: 500m
- memory: 500Mi
- requests:
- cpu: 500m
- memory: 500Mi
- volumeMounts:
- - name: config
- mountPath: /opt/app-root/elyra
- volumes:
- - name: config
- configMap:
- name: req-config
diff --git a/runtimes/tensorflow/ubi8-python-3.8/kustomize/base/requirements-elyra.txt b/runtimes/tensorflow/ubi8-python-3.8/kustomize/base/requirements-elyra.txt
deleted file mode 100644
index 91fb8e57d..000000000
--- a/runtimes/tensorflow/ubi8-python-3.8/kustomize/base/requirements-elyra.txt
+++ /dev/null
@@ -1,20 +0,0 @@
-# This is a comprehensive list of python dependencies that Elyra requires to execute Jupyter notebooks.
-# This is copied from elyra directly: https://github.com/elyra-ai/elyra/blob/main/etc/generic/requirements-elyra.txt
-ipykernel==6.13.0
-ipython==8.10.0
-ipython-genutils==0.2.0
-jinja2==3.1.4
-jupyter-client==7.3.1
-jupyter-core==4.11.2
-MarkupSafe==2.1.1
-minio==7.1.15
-nbclient==0.6.3
-nbconvert==7.1.0
-nbformat==5.4.0
-papermill==2.3.4
-pyzmq==24.0.1
-prompt-toolkit==3.0.30
-requests==2.31.0
-tornado==6.3.3
-traitlets==5.1.1
-urllib3==1.26.18
diff --git a/runtimes/tensorflow/ubi8-python-3.8/utils/bootstrapper.py b/runtimes/tensorflow/ubi8-python-3.8/utils/bootstrapper.py
deleted file mode 100644
index 34a39cdcc..000000000
--- a/runtimes/tensorflow/ubi8-python-3.8/utils/bootstrapper.py
+++ /dev/null
@@ -1,769 +0,0 @@
-# Copied from: https://github.com/elyra-ai/elyra/blob/main/elyra/kfp/bootstrapper.py
-#
-# Copyright 2018-2023 Elyra Authors
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-# http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-from abc import ABC
-from abc import abstractmethod
-import glob
-import json
-import logging
-import os
-from pathlib import Path
-import subprocess
-import sys
-from tempfile import TemporaryFile
-import time
-from typing import Any
-from typing import Dict
-from typing import Optional
-from typing import Type
-from typing import TypeVar
-from urllib.parse import urljoin
-from urllib.parse import urlparse
-from urllib.parse import urlunparse
-
-from packaging import version
-
-
-# Inputs and Outputs separator character. If updated,
-# same-named variable in _notebook_op.py must be updated!
-INOUT_SEPARATOR = ";"
-
-# Setup forward reference for type hint on return from class factory method. See
-# https://stackoverflow.com/questions/39205527/can-you-annotate-return-type-when-value-is-instance-of-cls/39205612#39205612
-F = TypeVar("F", bound="FileOpBase")
-
-logger = logging.getLogger("elyra")
-enable_pipeline_info = os.getenv("ELYRA_ENABLE_PIPELINE_INFO", "true").lower() == "true"
-pipeline_name = None # global used in formatted logging
-operation_name = None # global used in formatted logging
-
-
-class FileOpBase(ABC):
- """Abstract base class for file-based operations"""
-
- filepath = None
- cos_client = None
- cos_bucket = None
-
- @classmethod
- def get_instance(cls: Type[F], **kwargs: Any) -> F:
- """Creates an appropriate subclass instance based on the extension of the filepath (-f) argument"""
- filepath = kwargs["filepath"]
- if ".ipynb" in filepath:
- return NotebookFileOp(**kwargs)
- elif ".py" in filepath:
- return PythonFileOp(**kwargs)
- elif ".r" in filepath:
- return RFileOp(**kwargs)
- else:
- raise ValueError(f"Unsupported file type: {filepath}")
-
- def __init__(self, **kwargs: Any) -> None:
- """Initializes the FileOpBase instance"""
- import minio
- from minio.credentials import providers
-
- self.filepath = kwargs["filepath"]
- self.input_params = kwargs or {}
- self.cos_endpoint = urlparse(self.input_params.get("cos-endpoint"))
- self.cos_bucket = self.input_params.get("cos-bucket")
-
- self.parameter_pass_method = self.input_params.get("parameter_pass_method")
- self.pipeline_param_dict = self.convert_param_str_to_dict(self.input_params.get("pipeline_parameters"))
-
- # Infer secure from the endpoint's scheme.
- self.secure = self.cos_endpoint.scheme == "https"
-
- # get minio credentials provider
- if "cos-user" in self.input_params and "cos-password" in self.input_params:
- cred_provider = providers.StaticProvider(
- access_key=self.input_params.get("cos-user"),
- secret_key=self.input_params.get("cos-password"),
- )
- elif "AWS_ACCESS_KEY_ID" in os.environ and "AWS_SECRET_ACCESS_KEY" in os.environ:
- cred_provider = providers.EnvAWSProvider()
- elif "AWS_ROLE_ARN" in os.environ and "AWS_WEB_IDENTITY_TOKEN_FILE" in os.environ:
- cred_provider = providers.IamAwsProvider()
- else:
- raise RuntimeError(
- "No minio credentials provider can be initialised for current configs. "
- "Please validate your runtime configuration details and retry."
- )
-
- # get minio client
- self.cos_client = minio.Minio(self.cos_endpoint.netloc, secure=self.secure, credentials=cred_provider)
-
- @abstractmethod
- def execute(self) -> None:
- """Execute the operation relative to derived class"""
- raise NotImplementedError("Method 'execute()' must be implemented by subclasses!")
-
- def process_dependencies(self) -> None:
- """Process dependencies
-
- If a dependency archive is present, it will be downloaded from object storage
- and expanded into the local directory.
-
- This method can be overridden by subclasses, although overrides should first
- call the superclass method.
- """
- OpUtil.log_operation_info("processing dependencies")
- t0 = time.time()
- archive_file = self.input_params.get("cos-dependencies-archive")
-
- self.get_file_from_object_storage(archive_file)
-
- inputs = self.input_params.get("inputs")
- if inputs:
- input_list = inputs.split(INOUT_SEPARATOR)
- for file in input_list:
- self.get_file_from_object_storage(file.strip())
-
- subprocess.call(["tar", "-zxvf", archive_file])
- duration = time.time() - t0
- OpUtil.log_operation_info("dependencies processed", duration)
-
- def process_outputs(self) -> None:
- """Process outputs
-
- If outputs have been specified, it will upload the appropriate files to object storage
-
- This method can be overridden by subclasses, although overrides should first
- call the superclass method.
- """
- OpUtil.log_operation_info("processing outputs")
- t0 = time.time()
- outputs = self.input_params.get("outputs")
- if outputs:
- output_list = outputs.split(INOUT_SEPARATOR)
- for file in output_list:
- self.process_output_file(file.strip())
- duration = time.time() - t0
- OpUtil.log_operation_info("outputs processed", duration)
-
- def process_metrics_and_metadata(self) -> None:
- """Process metrics and metadata
-
- This method exposes metrics/metadata that the processed
- notebook | script produces in the KFP UI.
-
- This method should not be overridden by subclasses.
- """
-
- OpUtil.log_operation_info("processing metrics and metadata")
- t0 = time.time()
-
- # Location where the KFP specific output files will be stored
- # in the environment where the bootsrapper is running.
- # Defaults to '/tmp' if not specified.
- output_path = Path(os.getenv("ELYRA_WRITABLE_CONTAINER_DIR", "/tmp"))
-
- # verify that output_path exists, is a directory
- # and writable by creating a temporary file in that location
- try:
- with TemporaryFile(mode="w", dir=output_path) as t:
- t.write("can write")
- except Exception:
- # output_path doesn't meet the requirements
- # treat this as a non-fatal error and log a warning
- logger.warning(f'Cannot create files in "{output_path}".')
- OpUtil.log_operation_info("Aborted metrics and metadata processing", time.time() - t0)
- return
-
- # Name of the proprietary KFP UI metadata file.
- # Notebooks | scripts might (but don't have to) produce this file
- # as documented in
- # https://www.kubeflow.org/docs/pipelines/sdk/output-viewer/
- # Each ExecuteFileOp must declare this as an output file or
- # the KFP UI won't pick up the information.
- kfp_ui_metadata_filename = "mlpipeline-ui-metadata.json"
-
- # Name of the proprietary KFP metadata file.
- # Notebooks | scripts might (but don't have to) produce this file
- # as documented in
- # https://www.kubeflow.org/docs/pipelines/sdk/pipelines-metrics/
- # Each ExecuteFileOp must declare this as an output file or
- # the KFP UI won't pick up the information.
- kfp_metrics_filename = "mlpipeline-metrics.json"
-
- # If the notebook | Python script produced one of the files
- # copy it to the target location where KFP is looking for it.
- for filename in [kfp_ui_metadata_filename, kfp_metrics_filename]:
- try:
- src = Path(".") / filename
- logger.debug(f"Processing {src} ...")
- # try to load the file, if one was created by the
- # notebook or script
- with open(src, "r") as f:
- metadata = json.load(f)
-
- # the file exists and contains valid JSON
- logger.debug(f"File content: {json.dumps(metadata)}")
-
- target = output_path / filename
- # try to save the file in the destination location
- with open(target, "w") as f:
- json.dump(metadata, f)
- except FileNotFoundError:
- # The script | notebook didn't produce the file
- # we are looking for. This is not an error condition
- # that needs to be handled.
- logger.debug(f"{self.filepath} produced no file named {src}")
- except ValueError as ve:
- # The file content could not be parsed. Log a warning
- # and treat this as a non-fatal error.
- logger.warning(f"Ignoring incompatible {str(src)} produced by {self.filepath}: {ve} {str(ve)}")
- except Exception as ex:
- # Something is wrong with the user-generated metadata file.
- # Log a warning and treat this as a non-fatal error.
- logger.warning(f"Error processing {str(src)} produced by {self.filepath}: {ex} {str(ex)}")
-
- #
- # Augment kfp_ui_metadata_filename with Elyra-specific information:
- # - link to object storage where input and output artifacts are
- # stored
- ui_metadata_output = output_path / kfp_ui_metadata_filename
- try:
- # re-load the file
- with open(ui_metadata_output, "r") as f:
- metadata = json.load(f)
- except Exception:
- # ignore all errors
- metadata = {}
-
- # Assure the 'output' property exists and is of the correct type
- if metadata.get("outputs", None) is None or not isinstance(metadata["outputs"], list):
- metadata["outputs"] = []
-
- # Define HREF for COS bucket:
- # //
- bucket_url = urljoin(
- urlunparse(self.cos_endpoint), f"{self.cos_bucket}/{self.input_params.get('cos-directory', '')}/"
- )
-
- # add Elyra metadata to 'outputs'
- metadata["outputs"].append(
- {
- "storage": "inline",
- "source": f"## Inputs for {self.filepath}\n"
- f"[{self.input_params['cos-dependencies-archive']}]({bucket_url})",
- "type": "markdown",
- }
- )
-
- # print the content of the augmented metadata file
- logger.debug(f"Output UI metadata: {json.dumps(metadata)}")
-
- logger.debug(f"Saving UI metadata file as {ui_metadata_output} ...")
-
- # Save [updated] KFP UI metadata file
- with open(ui_metadata_output, "w") as f:
- json.dump(metadata, f)
-
- duration = time.time() - t0
- OpUtil.log_operation_info("metrics and metadata processed", duration)
-
- def get_object_storage_filename(self, filename: str) -> str:
- """Function to pre-pend cloud storage working dir to file name
-
- :param filename: the local file
- :return: the full path of the object storage file
- """
- return os.path.join(self.input_params.get("cos-directory", ""), filename)
-
- def get_file_from_object_storage(self, file_to_get: str) -> None:
- """Utility function to get files from an object storage
-
- :param file_to_get: filename
- """
-
- object_to_get = self.get_object_storage_filename(file_to_get)
- t0 = time.time()
- self.cos_client.fget_object(bucket_name=self.cos_bucket, object_name=object_to_get, file_path=file_to_get)
- duration = time.time() - t0
- OpUtil.log_operation_info(
- f"downloaded {file_to_get} from bucket: {self.cos_bucket}, object: {object_to_get}", duration
- )
-
- def put_file_to_object_storage(self, file_to_upload: str, object_name: Optional[str] = None) -> None:
- """Utility function to put files into an object storage
-
- :param file_to_upload: filename
- :param object_name: remote filename (used to rename)
- """
-
- object_to_upload = object_name
- if not object_to_upload:
- object_to_upload = file_to_upload
-
- object_to_upload = self.get_object_storage_filename(object_to_upload)
- t0 = time.time()
- self.cos_client.fput_object(bucket_name=self.cos_bucket, object_name=object_to_upload, file_path=file_to_upload)
- duration = time.time() - t0
- OpUtil.log_operation_info(
- f"uploaded {file_to_upload} to bucket: {self.cos_bucket} object: {object_to_upload}", duration
- )
-
- def has_wildcard(self, filename):
- wildcards = ["*", "?"]
- return bool(any(c in filename for c in wildcards))
-
- def process_output_file(self, output_file):
- """Puts the file to object storage. Handles wildcards and directories."""
-
- matched_files = [output_file]
- if self.has_wildcard(output_file): # explode the wildcarded file
- matched_files = glob.glob(output_file)
-
- for matched_file in matched_files:
- if os.path.isdir(matched_file):
- for file in os.listdir(matched_file):
- self.process_output_file(os.path.join(matched_file, file))
- else:
- self.put_file_to_object_storage(matched_file)
-
- def convert_param_str_to_dict(self, pipeline_parameters: Optional[str] = None) -> Dict[str, Any]:
- """Convert INOUT-separated string of pipeline parameters into a dictionary."""
- parameter_dict = {}
- if pipeline_parameters:
- parameter_list = pipeline_parameters.split(INOUT_SEPARATOR)
- for parameter in parameter_list:
- param_name, value = parameter.split("=", 1)
- if self.parameter_pass_method == "env" and (not value or not isinstance(value, str)):
- continue # env vars must be non-empty strings
- parameter_dict[param_name] = value
- return parameter_dict
-
- def set_parameters_in_env(self) -> None:
- """Make pipeline parameters available as environment variables."""
- for name, value in self.pipeline_param_dict.items():
- if name in os.environ:
- continue # avoid overwriting env vars with the same name
- os.environ[name] = value
-
-
-class NotebookFileOp(FileOpBase):
- """Perform Notebook File Operation"""
-
- def execute(self) -> None:
- """Execute the Notebook and upload results to object storage"""
- notebook = os.path.basename(self.filepath)
- notebook_name = notebook.replace(".ipynb", "")
- notebook_output = f"{notebook_name}-output.ipynb"
- notebook_html = f"{notebook_name}.html"
-
- try:
- OpUtil.log_operation_info(f"executing notebook using 'papermill {notebook} {notebook_output}'")
- t0 = time.time()
- # Include kernel selection in execution time
- kernel_name = NotebookFileOp.find_best_kernel(notebook)
-
- kwargs = {}
- if self.parameter_pass_method == "env":
- self.set_parameters_in_env()
-
- import papermill
-
- papermill.execute_notebook(notebook, notebook_output, kernel_name=kernel_name, **kwargs)
- duration = time.time() - t0
- OpUtil.log_operation_info("notebook execution completed", duration)
-
- NotebookFileOp.convert_notebook_to_html(notebook_output, notebook_html)
- self.put_file_to_object_storage(notebook_output, notebook)
- self.put_file_to_object_storage(notebook_html)
- self.process_outputs()
- except Exception as ex:
- # log in case of errors
- logger.error(f"Unexpected error: {sys.exc_info()[0]}")
-
- NotebookFileOp.convert_notebook_to_html(notebook_output, notebook_html)
- self.put_file_to_object_storage(notebook_output, notebook)
- self.put_file_to_object_storage(notebook_html)
- raise ex
-
- @staticmethod
- def convert_notebook_to_html(notebook_file: str, html_file: str) -> str:
- """Function to convert a Jupyter notebook file (.ipynb) into an html file
-
- :param notebook_file: object storage client
- :param html_file: name of what the html output file should be
- :return: html_file: the converted notebook in html format
- """
- import nbconvert
- import nbformat
-
- OpUtil.log_operation_info(f"converting from {notebook_file} to {html_file}")
- t0 = time.time()
- nb = nbformat.read(notebook_file, as_version=4)
- html_exporter = nbconvert.HTMLExporter()
- data, resources = html_exporter.from_notebook_node(nb)
- with open(html_file, "w") as f:
- f.write(data)
- f.close()
-
- duration = time.time() - t0
- OpUtil.log_operation_info(f"{notebook_file} converted to {html_file}", duration)
- return html_file
-
- @staticmethod
- def find_best_kernel(notebook_file: str) -> str:
- """Determines the best kernel to use via the following algorithm:
-
- 1. Loads notebook and gets kernel_name and kernel_language from NB metadata.
- 2. Gets the list of configured kernels using KernelSpecManager.
- 3. If notebook kernel_name is in list, use that, else
- 4. If not found, load each configured kernel.json file and find a language match.
- 5. On first match, log info message regarding the switch and use that kernel.
- 6. If no language match is found, revert to notebook kernel and log warning message.
- """
- from jupyter_client.kernelspec import KernelSpecManager
- import nbformat
-
- nb = nbformat.read(notebook_file, 4)
-
- nb_kspec = nb.metadata.kernelspec
- nb_kernel_name = nb_kspec.get("name")
- nb_kernel_lang = nb_kspec.get("language")
-
- kernel_specs = KernelSpecManager().find_kernel_specs()
-
- # see if we have a direct match...
- if nb_kernel_name in kernel_specs.keys():
- return nb_kernel_name
-
- # no match found for kernel, try matching language...
- for name, file in kernel_specs.items():
- # load file (JSON) and pick out language, if match, use first found
- with open(os.path.join(file, "kernel.json")) as f:
- kspec = json.load(f)
- if kspec.get("language").lower() == nb_kernel_lang.lower():
- matched_kernel = os.path.basename(file)
- logger.info(
- f"Matched kernel by language ({nb_kernel_lang}), using kernel "
- f"'{matched_kernel}' instead of the missing kernel '{nb_kernel_name}'."
- )
- return matched_kernel
-
- # no match found for language, return notebook kernel and let execution fail
- logger.warning(
- f"Reverting back to missing notebook kernel '{nb_kernel_name}' since no "
- f"language match ({nb_kernel_lang}) was found in current kernel specifications."
- )
- return nb_kernel_name
-
-
-class PythonFileOp(FileOpBase):
- """Perform Python File Operation"""
-
- def execute(self) -> None:
- """Execute the Python script and upload results to object storage"""
- python_script = os.path.basename(self.filepath)
- python_script_name = python_script.replace(".py", "")
- # python_script_output = f"{python_script_name}.log"
-
- try:
- OpUtil.log_operation_info(
- f"executing python script using 'python3 {python_script}'"
- )
- t0 = time.time()
-
- run_args = ["python3", python_script]
- if self.parameter_pass_method == "env":
- self.set_parameters_in_env()
-
- logger.info("----------------------Python logs start----------------------")
- # Removing support for the s3 storage of python script logs
- # with open(python_script_output, "w") as log_file:
- # process = subprocess.Popen(run_args, stdout=subprocess.PIPE, stderr=subprocess.STDOUT)
- process = subprocess.Popen(run_args, stdout=subprocess.PIPE, stderr=subprocess.STDOUT)
-
- for line in iter(process.stdout.readline, b''):
- sys.stdout.write(line.decode())
-
- process.stdout.close()
- return_code = process.wait()
- logger.info("----------------------Python logs ends----------------------")
- if return_code:
- raise subprocess.CalledProcessError(return_code, run_args)
- duration = time.time() - t0
- OpUtil.log_operation_info("python script execution completed", duration)
-
- # self.put_file_to_object_storage(python_script_output, python_script_output)
- self.process_outputs()
- except Exception as ex:
- # log in case of errors
- logger.error(f"Unexpected error: {sys.exc_info()[0]}")
- logger.error(f"Error details: {ex}")
-
- # self.put_file_to_object_storage(python_script_output, python_script_output)
- raise ex
-
-
-class RFileOp(FileOpBase):
- """Perform R File Operation"""
-
- def execute(self) -> None:
- """Execute the R script and upload results to object storage"""
- r_script = os.path.basename(self.filepath)
- r_script_name = r_script.replace(".r", "")
- # r_script_output = f"{r_script_name}.log"
-
- try:
- OpUtil.log_operation_info(f"executing R script using 'Rscript {r_script}'")
- t0 = time.time()
-
- run_args = ["Rscript", r_script]
- if self.parameter_pass_method == "env":
- self.set_parameters_in_env()
-
- logger.info("----------------------R script logs start----------------------")
- # Removing support for the s3 storage of R script logs
- # with open(r_script_output, "w") as log_file:
- # process = subprocess.Popen(run_args, stdout=subprocess.PIPE, stderr=subprocess.STDOUT)
- process = subprocess.Popen(run_args, stdout=subprocess.PIPE, stderr=subprocess.STDOUT)
-
- for line in iter(process.stdout.readline, b''):
- sys.stdout.write(line.decode())
-
- process.stdout.close()
- return_code = process.wait()
- logger.info("----------------------R script logs ends----------------------")
- if return_code:
- raise subprocess.CalledProcessError(return_code, run_args)
-
- duration = time.time() - t0
- OpUtil.log_operation_info("R script execution completed", duration)
-
- # self.put_file_to_object_storage(r_script_output, r_script_output)
- self.process_outputs()
- except Exception as ex:
- # log in case of errors
- logger.error(f"Unexpected error: {sys.exc_info()[0]}")
- logger.error(f"Error details: {ex}")
-
- # self.put_file_to_object_storage(r_script_output, r_script_output)
- raise ex
-
-
-class OpUtil(object):
- """Utility functions for preparing file execution."""
-
- @classmethod
- def package_install(cls, user_volume_path) -> None:
- OpUtil.log_operation_info("Installing packages")
- t0 = time.time()
- requirements_file = cls.determine_elyra_requirements()
- elyra_packages = cls.package_list_to_dict(requirements_file)
- current_packages = cls.package_list_to_dict("requirements-current.txt")
- to_install_list = []
-
- for package, ver in elyra_packages.items():
- if package in current_packages:
- if current_packages[package] is None:
- logger.warning(
- f"WARNING: Source package '{package}' found already installed as an "
- "editable package. This may conflict with the required version: "
- f"{ver} . Skipping..."
- )
- continue
- try:
- version.Version(current_packages[package])
- except version.InvalidVersion: # current version is not PEP-440 compliant
- logger.warning(
- f"WARNING: Source package '{package}' found already installed from "
- f"{current_packages[package]}. This may conflict with the required "
- f"version: {ver} . Skipping..."
- )
- continue
- if version.Version(ver) > version.Version(current_packages[package]):
- logger.info(f"Updating {package} package from version {current_packages[package]} to {ver}...")
- to_install_list.append(f"{package}=={ver}")
- elif version.Version(ver) < version.Version(current_packages[package]):
- logger.info(
- f"Newer {package} package with version {current_packages[package]} "
- f"already installed. Skipping..."
- )
- else:
- logger.info(f"Package not found. Installing {package} package with version {ver}...")
- to_install_list.append(f"{package}=={ver}")
-
- if to_install_list:
- if user_volume_path:
- to_install_list.insert(0, f"--target={user_volume_path}")
- to_install_list.append("--no-cache-dir")
-
- subprocess.run([sys.executable, "-m", "pip", "install"] + to_install_list, check=True)
-
- if user_volume_path:
- os.environ["PIP_CONFIG_FILE"] = f"{user_volume_path}/pip.conf"
-
- subprocess.run([sys.executable, "-m", "pip", "freeze"])
- duration = time.time() - t0
- OpUtil.log_operation_info("Packages installed", duration)
-
- @classmethod
- def determine_elyra_requirements(cls) -> Any:
- if sys.version_info.major == 3:
- if sys.version_info.minor in [8, 9, 10, 11]:
- return "requirements-elyra.txt"
- logger.error(
- f"This version of Python '{sys.version_info.major}.{sys.version_info.minor}' "
- f"is not supported for Elyra generic components"
- )
- return None
-
- @classmethod
- def package_list_to_dict(cls, filename: str) -> dict:
- package_dict = {}
- with open(filename) as fh:
- for line in fh:
- if line[0] != "#":
- if " @ " in line:
- package_name, package_version = line.strip("\n").split(sep=" @ ")
- elif "===" in line:
- package_name, package_version = line.strip("\n").split(sep="===")
- elif "==" in line:
- package_name, package_version = line.strip("\n").split(sep="==")
- elif line.startswith("-e ") or line.startswith("--editable "):
- package_name = line.strip("\n").replace("-e ", "").replace("--editable ", "")
- if "#egg=" in package_name: # editable package from version control system
- package_name = package_name.split("=")[-1]
- elif "/" in package_name: # editable package from local directory
- package_name = os.path.basename(package_name)
- package_version = None
- else:
- # Tolerate other formats but do not add to package list
- continue
-
- package_dict[package_name] = package_version
-
- return package_dict
-
- @classmethod
- def parse_arguments(cls, args) -> dict:
- import argparse
-
- global pipeline_name, operation_name
-
- logger.debug("Parsing Arguments.....")
- parser = argparse.ArgumentParser()
- parser.add_argument(
- "-e", "--cos-endpoint", dest="cos-endpoint", help="Cloud object storage endpoint", required=True
- )
- parser.add_argument(
- "-b", "--cos-bucket", dest="cos-bucket", help="Cloud object storage bucket to use", required=True
- )
- parser.add_argument(
- "-d",
- "--cos-directory",
- dest="cos-directory",
- help="Working directory in cloud object storage bucket to use",
- required=True,
- )
- parser.add_argument(
- "-t",
- "--cos-dependencies-archive",
- dest="cos-dependencies-archive",
- help="Archive containing notebook and dependency artifacts",
- required=True,
- )
- parser.add_argument("-f", "--file", dest="filepath", help="File to execute", required=True)
- parser.add_argument("-o", "--outputs", dest="outputs", help="Files to output to object store", required=False)
- parser.add_argument("-i", "--inputs", dest="inputs", help="Files to pull in from parent node", required=False)
- parser.add_argument(
- "-p",
- "--user-volume-path",
- dest="user-volume-path",
- help="Directory in Volume to install python libraries into",
- required=False,
- )
- parser.add_argument(
- "-n",
- "--pipeline-name",
- dest="pipeline-name",
- help="Pipeline name",
- required=True,
- )
- parser.add_argument(
- "-r",
- "--pipeline-parameters",
- dest="pipeline_parameters",
- help="Pipeline parameters that apply to this node",
- required=False,
- )
- parser.add_argument(
- "-m",
- "--parameter-pass-method",
- dest="parameter_pass_method",
- choices=["env"],
- help="The method by which pipeline parameters should be applied to this node.",
- required=False,
- )
- parsed_args = vars(parser.parse_args(args))
-
- # set pipeline name as global
- pipeline_name = parsed_args.get("pipeline-name")
- # operation/node name is the basename of the non-suffixed filepath, set as global
- operation_name = os.path.basename(os.path.splitext(parsed_args.get("filepath"))[0])
-
- return parsed_args
-
- @classmethod
- def log_operation_info(cls, action_clause: str, duration_secs: Optional[float] = None) -> None:
- """Produces a formatted log INFO message used entirely for support purposes.
-
- This method is intended to be called for any entries that should be captured across aggregated
- log files to identify steps within a given pipeline and each of its operations. As a result,
- calls to this method should produce single-line entries in the log (no embedded newlines).
- Each entry is prefixed with the pipeline name.
-
- General logging should NOT use this method but use logger.() statements directly.
-
- :param action_clause: str representing the action that is being logged
- :param duration_secs: optional float value representing the duration of the action being logged
- """
- global pipeline_name, operation_name
- if enable_pipeline_info:
- duration_clause = f"({duration_secs:.3f} secs)" if duration_secs else ""
- logger.info(f"'{pipeline_name}':'{operation_name}' - {action_clause} {duration_clause}")
-
-
-def main():
- # Configure logger format, level
- logging.basicConfig(
- format="[%(levelname)1.1s %(asctime)s.%(msecs).03d] %(message)s", datefmt="%H:%M:%S", level=logging.DEBUG
- )
- # Setup packages and gather arguments
- input_params = OpUtil.parse_arguments(sys.argv[1:])
- OpUtil.log_operation_info("starting operation")
- t0 = time.time()
-
- # Create the appropriate instance, process dependencies and execute the operation
- file_op = FileOpBase.get_instance(**input_params)
-
- file_op.process_dependencies()
-
- file_op.execute()
-
- # Process notebook | script metrics and KFP UI metadata
- file_op.process_metrics_and_metadata()
-
- duration = time.time() - t0
- OpUtil.log_operation_info("operation completed", duration)
-
-
-if __name__ == "__main__":
- main()
\ No newline at end of file
diff --git a/runtimes/tensorflow/ubi8-python-3.8/utils/pip.conf b/runtimes/tensorflow/ubi8-python-3.8/utils/pip.conf
deleted file mode 100644
index 69a2baf4c..000000000
--- a/runtimes/tensorflow/ubi8-python-3.8/utils/pip.conf
+++ /dev/null
@@ -1,4 +0,0 @@
-# Copied from: https://github.com/elyra-ai/elyra/blob/main/etc/kfp/pip.conf
-
-[global]
-target=/opt/app-root/src/jupyter-work-dir/python3/
diff --git a/runtimes/tensorflow/ubi8-python-3.8/utils/requirements-elyra.txt b/runtimes/tensorflow/ubi8-python-3.8/utils/requirements-elyra.txt
deleted file mode 100644
index ddf75d0c5..000000000
--- a/runtimes/tensorflow/ubi8-python-3.8/utils/requirements-elyra.txt
+++ /dev/null
@@ -1,71 +0,0 @@
-# Copied from: https://github.com/elyra-ai/elyra/blob/main/etc/generic/requirements-elyra.txt
-
-# This is a comprehensive list of python dependencies that Elyra requires to execute Jupyter notebooks.
-ipykernel==6.13.0
-ipython==8.10.0
-ipython-genutils==0.2.0
-jinja2==3.1.4
-jupyter-client==7.3.1
-jupyter-core==4.11.2
-MarkupSafe==2.1.1
-minio==7.1.15
-nbclient==0.6.3
-nbconvert==7.1.0
-nbformat==5.4.0
-papermill==2.3.4
-pyzmq==24.0.1
-prompt-toolkit==3.0.30
-requests==2.31.0
-tornado==6.3.3
-traitlets==5.1.1
-urllib3==1.26.9
-#
-# These excluded are transitive dependencies of the included python packages.
-#ansiwrap==0.8.4
-#appnope==0.1.3
-#asttokens==2.0.5
-#attrs==21.4.0
-#backcall==0.2.0
-#beautifulsoup4==4.11.1
-#bleach==5.0.0
-#certifi==2021.10.8
-#charset-normalizer==2.0.12
-#click==8.1.3
-#debugpy==1.6.0
-#decorator==5.1.1
-#defusedxml==0.7.1
-#entrypoints==0.4
-#executing==0.8.3
-#fastjsonschema==2.15.3
-#idna==3.3
-#importlib-resources==5.7.1
-#jedi==0.18.1
-#jsonschema==4.5.1
-#jupyterlab-pygments==0.2.2
-#matplotlib-inline==0.1.3
-#mistune==0.8.4
-#nest-asyncio==1.5.5
-#packaging==21.3
-#pandocfilters==1.5.0
-#parso==0.8.3
-#pexpect==4.8.0
-#pickleshare==0.7.5
-#psutil==5.9.0
-#ptyprocess==0.7.0
-#pure-eval==0.2.2
-#Pygments==2.12.0
-#pyparsing==3.0.9
-#pyrsistent==0.18.1
-#python-dateutil==2.8.2
-#PyYAML==6.0
-#six==1.16.0
-#soupsieve==2.3.2.post1
-#stack-data==0.2.0
-#tenacity==8.0.1
-#textwrap3==0.9.2
-#tinycss2==1.1.1
-#tqdm==4.64.0
-#wcwidth==0.2.5
-#webencodings==0.5.1
-#zipp==3.8.0
-#