diff --git a/.dockerignore b/.dockerignore new file mode 100644 index 000000000..8d47ee653 --- /dev/null +++ b/.dockerignore @@ -0,0 +1,13 @@ +.git/ +.idea/ +.venv/ +bin/ +ci/ +tests/ + +**/.mypy_cache/ +**/.pytest_cache/ +**/__pycache__/ +**/*.pyc + +**/Dockerfile diff --git a/.editorconfig b/.editorconfig new file mode 100644 index 000000000..67648df28 --- /dev/null +++ b/.editorconfig @@ -0,0 +1,12 @@ +# https://editorconfig.org/ + +root = true + +[*] +charset = utf-8 +end_of_line = lf +insert_final_newline = true +trim_trailing_whitespace = true + +[Makefile] +indent_style = tab diff --git a/.github/workflows/build-notebooks-TEMPLATE.yaml b/.github/workflows/build-notebooks-TEMPLATE.yaml index 418f6057e..5ea5cc15b 100644 --- a/.github/workflows/build-notebooks-TEMPLATE.yaml +++ b/.github/workflows/build-notebooks-TEMPLATE.yaml @@ -39,6 +39,13 @@ jobs: - uses: actions/checkout@v4 + - run: mkdir -p $TMPDIR + + # for bin/buildinputs in scripts/sandbox.py + - uses: actions/setup-go@v5 + with: + cache-dependency-path: "**/*.sum" + - name: Login to GitHub Container Registry uses: docker/login-action@v3 with: @@ -46,6 +53,8 @@ jobs: username: ${{ github.actor }} password: ${{ secrets.GITHUB_TOKEN }} + # region Free up disk space + - name: Free up additional disk space # https://docs.github.com/en/actions/learn-github-actions/expressions if: "${{ contains(inputs.target, 'rocm') || contains(inputs.target, 'cuda') || contains(inputs.target, 'intel') || @@ -86,6 +95,10 @@ jobs: df -h free -h + # endregion + + # region Podman setup + # https://github.com/containers/buildah/issues/2521#issuecomment-884779112 - name: Workaround https://github.com/containers/podman/issues/22152#issuecomment-2027705598 run: sudo apt-get -qq remove podman crun @@ -156,6 +169,10 @@ jobs: echo "IMAGE_TAG=${IMAGE_TAG}" >> "$GITHUB_OUTPUT" echo "OUTPUT_IMAGE=${{ env.IMAGE_REGISTRY}}:${{ inputs.target }}-${IMAGE_TAG}" >> "$GITHUB_OUTPUT" + # endregion + + # region Trivy init & DB pre-pull + - name: "pull_request|schedule: resolve target if Trivy scan should run" id: resolve-target if: ${{ fromJson(inputs.github).event_name == 'pull_request' || fromJson(inputs.github).event_name == 'schedule' }} @@ -210,6 +227,10 @@ jobs: image \ --download-java-db-only + # endregion + + # region Image build + # https://docs.github.com/en/actions/using-workflows/events-that-trigger-workflows#push - name: "push|schedule: make ${{ inputs.target }}" run: | @@ -235,10 +256,34 @@ jobs: - name: "Show podman images information" run: podman images --digests + # endregion + + # region Makefile image tests + - name: "Check if we have tests or not" id: have-tests run: "ci/cached-builds/has_tests.py --target ${{ inputs.target }}" + - name: "Change pull policy to IfNotPresent" + run: | + set -Eeuxo pipefail + + find . \( -name "statefulset.yaml" -o -name "pod.yaml" \) -type f -exec \ + sed -i'' 's/imagePullPolicy: Always/imagePullPolicy: IfNotPresent/g' {} \; + git diff + + # [INFO] Running command (('make deploy9-runtimes-rocm-tensorflow-ubi9-python-3.11',), {'shell': True}) + # Deploying notebook from runtimes/rocm/tensorflow/ubi9-python-3.11/kustomize/base directory... + # sed: can't read runtimes/rocm/tensorflow/ubi9-python-3.11/kustomize/base/kustomization.yaml: No such file or directory + - name: "Fixup paths that prevent us from running rocm tests" + if: ${{ steps.have-tests.outputs.tests == 'true' }} + run: | + set -Eeuxo pipefail + + mkdir -p runtimes/rocm + ln -s ../rocm-tensorflow runtimes/rocm/tensorflow + ln -s ../rocm-pytorch runtimes/rocm/pytorch + # https://cri-o.io/ - name: Install cri-o if: ${{ steps.have-tests.outputs.tests == 'true' }} @@ -288,11 +333,11 @@ jobs: # do this early, it's a good check that cri-o is not completely broken - name: "Show crio images information" - if: ${{ steps.have-tests.outputs.tests == 'true' }} + if: ${{ steps.have-tests.outputs.tests == 'true' }} run: sudo crictl images - name: Install Kubernetes cluster - if: ${{ steps.have-tests.outputs.tests == 'true' }} + if: ${{ steps.have-tests.outputs.tests == 'true' }} run: | set -Eeuxo pipefail @@ -350,6 +395,18 @@ jobs: kubectl wait deployments --all --all-namespaces --for=condition=Available --timeout=100s kubectl wait pods --all --all-namespaces --for=condition=Ready --timeout=100s + - name: "Run image tests" + if: ${{ steps.have-tests.outputs.tests == 'true' }} + run: python3 ci/cached-builds/make_test.py --target ${{ inputs.target }} + env: + IMAGE_TAG: "${{ steps.calculated_vars.outputs.IMAGE_TAG }}" + # for make deploy, mandatory to specify for the more exotic cases + NOTEBOOK_TAG: "${{ inputs.target }}-${{ steps.calculated_vars.outputs.IMAGE_TAG }}" + + # endregion + + # region Trivy vulnerability scan + - name: Run Trivy vulnerability scanner if: ${{ steps.resolve-target.outputs.target }} run: | @@ -391,12 +448,16 @@ jobs: cat $REPORT_FOLDER/$REPORT_FILE >> $GITHUB_STEP_SUMMARY + # endregion + + # region Typescript (browser) image tests + # https://playwright.dev/docs/ci # https://playwright.dev/docs/docker # we leave little free disk space after we mount LVM for podman storage # not enough to install playwright; running playwright in podman uses the space we have - name: Run Playwright tests - if: ${{ fromJson(inputs.github).event_name == 'pull_request' && contains(inputs.target, 'codeserver') }} + if: ${{ contains(inputs.target, 'codeserver') }} # --ipc=host because Microsoft says so in Playwright docs # --net=host because testcontainers connects to the Reaper container's exposed port # we need to pass through the relevant environment variables @@ -436,5 +497,7 @@ jobs: path: tests/browser/playwright-report/ retention-days: 30 + # endregion + - run: df -h if: "${{ !cancelled() }}" diff --git a/.github/workflows/build-notebooks-pr.yaml b/.github/workflows/build-notebooks-pr.yaml index a10da0363..c479e29e5 100644 --- a/.github/workflows/build-notebooks-pr.yaml +++ b/.github/workflows/build-notebooks-pr.yaml @@ -22,6 +22,10 @@ jobs: steps: - uses: actions/checkout@v4 + - uses: actions/setup-go@v5 + with: + cache-dependency-path: "**/*.sum" + - name: Determine targets to build based on changed files run: | set -x diff --git a/.github/workflows/build-notebooks.yaml b/.github/workflows/build-notebooks.yaml index 37ad75589..90fed6cbc 100644 --- a/.github/workflows/build-notebooks.yaml +++ b/.github/workflows/build-notebooks.yaml @@ -15,235 +15,6 @@ ] }, "jobs": { - "base-ubi9-python-3_9": { - "needs": [], - "uses": "./.github/workflows/build-notebooks-TEMPLATE.yaml", - "with": { - "target": "base-ubi9-python-3.9", - "github": "${{ toJSON(github) }}" - }, - "secrets": "inherit" - }, - "jupyter-minimal-ubi9-python-3_9": { - "needs": [ - "base-ubi9-python-3_9" - ], - "uses": "./.github/workflows/build-notebooks-TEMPLATE.yaml", - "with": { - "target": "jupyter-minimal-ubi9-python-3.9", - "github": "${{ toJSON(github) }}" - }, - "secrets": "inherit" - }, - "jupyter-datascience-ubi9-python-3_9": { - "needs": [ - "jupyter-minimal-ubi9-python-3_9" - 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"jupyter-intel-ml-ubi9-python-3_9": { - "needs": [ - "base-ubi9-python-3_9" - ], - "uses": "./.github/workflows/build-notebooks-TEMPLATE.yaml", - "with": { - "target": "jupyter-intel-ml-ubi9-python-3.9", - "github": "${{ toJSON(github) }}" - }, - "secrets": "inherit" - }, "base-ubi9-python-3_11": { "needs": [], "uses": "./.github/workflows/build-notebooks-TEMPLATE.yaml", @@ -473,48 +244,6 @@ }, "secrets": "inherit" }, - "base-c9s-python-3_9": { - "needs": [], - "uses": "./.github/workflows/build-notebooks-TEMPLATE.yaml", - "with": { - "target": "base-c9s-python-3.9", - "github": "${{ toJSON(github) }}" - }, - "secrets": "inherit" - }, - "cuda-c9s-python-3_9": { - "needs": [ - "base-c9s-python-3_9" - ], - "uses": "./.github/workflows/build-notebooks-TEMPLATE.yaml", - "with": { - "target": "cuda-c9s-python-3.9", - "github": "${{ toJSON(github) }}" - }, - "secrets": "inherit" - }, - "rstudio-c9s-python-3_9": { - "needs": [ - "base-c9s-python-3_9" - ], - "uses": "./.github/workflows/build-notebooks-TEMPLATE.yaml", - "with": { - "target": "rstudio-c9s-python-3.9", - "github": "${{ toJSON(github) }}" - }, - "secrets": "inherit" - }, - "cuda-rstudio-c9s-python-3_9": { - "needs": [ - "cuda-c9s-python-3_9" - ], - "uses": "./.github/workflows/build-notebooks-TEMPLATE.yaml", - "with": { - "target": "cuda-rstudio-c9s-python-3.9", - "github": "${{ toJSON(github) }}" - }, - "secrets": "inherit" - }, "base-c9s-python-3_11": { "needs": [], "uses": "./.github/workflows/build-notebooks-TEMPLATE.yaml", @@ -557,83 +286,6 @@ }, "secrets": "inherit" }, - "rocm-ubi9-python-3_9": { - "needs": [ - "base-ubi9-python-3_9" - ], - "uses": "./.github/workflows/build-notebooks-TEMPLATE.yaml", - "with": { - "target": "rocm-ubi9-python-3.9", - "github": "${{ toJSON(github) }}" - }, - "secrets": "inherit" - }, - "rocm-jupyter-minimal-ubi9-python-3_9": { - "needs": [ - "rocm-ubi9-python-3_9" - ], - "uses": "./.github/workflows/build-notebooks-TEMPLATE.yaml", - "with": { - "target": "rocm-jupyter-minimal-ubi9-python-3.9", - "github": "${{ toJSON(github) }}" - 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"rocm-ubi9-python-3_9" - ], - "uses": "./.github/workflows/build-notebooks-TEMPLATE.yaml", - "with": { - "target": "rocm-runtime-pytorch-ubi9-python-3.9", - "github": "${{ toJSON(github) }}" - }, - "secrets": "inherit" - }, - "rocm-runtime-tensorflow-ubi9-python-3_9": { - "needs": [ - "rocm-ubi9-python-3_9" - ], - "uses": "./.github/workflows/build-notebooks-TEMPLATE.yaml", - "with": { - "target": "rocm-runtime-tensorflow-ubi9-python-3.9", - "github": "${{ toJSON(github) }}" - }, - "secrets": "inherit" - }, "rocm-ubi9-python-3_11": { "needs": [ "base-ubi9-python-3_11" diff --git a/.github/workflows/piplock-renewal-2023a.yml b/.github/workflows/piplock-renewal-2023a.yml deleted file mode 100644 index d98646e28..000000000 --- a/.github/workflows/piplock-renewal-2023a.yml +++ /dev/null @@ -1,47 +0,0 @@ ---- -# This GitHub action is meant to be triggered weekly in order to update the pipfile.locks - -name: Weekly Pipfile.locks renewal on [2023a] branch - -on: # yamllint disable-line rule:truthy - # Triggers the workflow every Monday at 22pm UTC am 0 22 * * 1 - schedule: - - cron: "0 22 * * 1" - workflow_dispatch: # for manual trigger workflow from GH Web UI - -jobs: - build: - runs-on: ubuntu-latest - - permissions: - # Give the default GITHUB_TOKEN write permission to commit and push the - # added or changed files to the repository. - contents: write - - steps: - # Checkout the paricular branch - - name: Checkout code from the release branch - uses: actions/checkout@v4 - with: - ref: 2023a - token: ${{ secrets.GH_ACCESS_TOKEN }} - - # Setup Python environment - - name: Setup Python environment - uses: actions/setup-python@v5 - with: - python-version: | - 3.8 - 3.9 - - name: Install pipenv - run: pip install pipenv - - # Runs the makefile recipe `refresh-pipfilelock-files` and push the chances back to the branch - - name: Run make refresh-pipfilelock-files and push the chances back to the branch - run: | - make refresh-pipfilelock-files - git config --global user.email "github-actions[bot]@users.noreply.github.com" - git config --global user.name "GitHub Actions" - git add . - git commit -m "Update the pipfile.lock via the weekly workflow action" - git push diff --git a/.github/workflows/piplock-renewal-2023b.yml b/.github/workflows/piplock-renewal-2023b.yml deleted file mode 100644 index c2c8161bf..000000000 --- a/.github/workflows/piplock-renewal-2023b.yml +++ /dev/null @@ -1,47 +0,0 @@ ---- -# This GitHub action is meant to be triggered weekly in order to update the pipfile.locks - -name: Weekly Pipfile.locks renewal on [2023b] branch - -on: # yamllint disable-line rule:truthy - # Triggers the workflow every Monday at 22pm UTC am 0 22 * * 1 - schedule: - - cron: "0 22 * * 1" - workflow_dispatch: # for manual trigger workflow from GH Web UI - -jobs: - build: - runs-on: ubuntu-latest - - permissions: - # Give the default GITHUB_TOKEN write permission to commit and push the - # added or changed files to the repository. - contents: write - - steps: - # Checkout the paricular branch - - name: Checkout code from the release branch - uses: actions/checkout@v4 - with: - ref: 2023b - token: ${{ secrets.GH_ACCESS_TOKEN }} - - # Setup Python environment - - name: Setup Python environment - uses: actions/setup-python@v5 - with: - python-version: | - 3.8 - 3.9 - - name: Install pipenv - run: pip install pipenv - - # Runs the makefile recipe `refresh-pipfilelock-files` and push the chances back to the branch - - name: Run make refresh-pipfilelock-files and push the chances back to the branch - run: | - make refresh-pipfilelock-files - git config --global user.email "github-actions[bot]@users.noreply.github.com" - git config --global user.name "GitHub Actions" - git add . - git commit -m "Update the pipfile.lock via the weekly workflow action" - git push diff --git a/.github/workflows/piplock-renewal-2024a.yml b/.github/workflows/piplock-renewal-2024a.yml deleted file mode 100644 index b01323954..000000000 --- a/.github/workflows/piplock-renewal-2024a.yml +++ /dev/null @@ -1,47 +0,0 @@ ---- -# This GitHub action is meant to be triggered weekly in order to update the pipfile.locks - -name: Weekly Pipfile.locks renewal on [2024a] branch - -on: # yamllint disable-line rule:truthy - # Triggers the workflow every Monday at 22pm UTC am 0 22 * * 1 - schedule: - - cron: "0 22 * * 1" - workflow_dispatch: # for manual trigger workflow from GH Web UI - -jobs: - build: - runs-on: ubuntu-latest - - permissions: - # Give the default GITHUB_TOKEN write permission to commit and push the - # added or changed files to the repository. - contents: write - - steps: - # Checkout the paricular branch - - name: Checkout code from the release branch - uses: actions/checkout@v4 - with: - ref: 2024a - token: ${{ secrets.GH_ACCESS_TOKEN }} - - # Setup Python environment - - name: Setup Python environment - uses: actions/setup-python@v5 - with: - python-version: | - 3.8 - 3.9 - - name: Install pipenv - run: pip install pipenv - - # Runs the makefile recipe `refresh-pipfilelock-files` and push the chances back to the branch - - name: Run make refresh-pipfilelock-files and push the chances back to the branch - run: | - make refresh-pipfilelock-files - git config --global user.email "github-actions[bot]@users.noreply.github.com" - git config --global user.name "GitHub Actions" - git add . - git commit -m "Update the pipfile.lock via the weekly workflow action" - git push diff --git a/.github/workflows/piplock-renewal-main.yml b/.github/workflows/piplock-renewal-main.yml deleted file mode 100644 index b3e9ca366..000000000 --- a/.github/workflows/piplock-renewal-main.yml +++ /dev/null @@ -1,47 +0,0 @@ ---- -# This GitHub action is meant to be triggered weekly in order to update the pipfile.locks - -name: Weekly Pipfile.locks renewal on [main] branch - -on: # yamllint disable-line rule:truthy - # Triggers the workflow every Monday at 22pm UTC am 0 22 * * 1 - schedule: - - cron: "0 22 * * 1" - workflow_dispatch: # for manual trigger workflow from GH Web UI - -jobs: - build: - runs-on: ubuntu-latest - - permissions: - # Give the default GITHUB_TOKEN write permission to commit and push the - # added or changed files to the repository. - contents: write - - steps: - # Checkout the paricular branch - - name: Checkout code from the release branch - uses: actions/checkout@v4 - with: - ref: main - token: ${{ secrets.GH_ACCESS_TOKEN }} - - # Setup Python environment - - name: Setup Python environment - uses: actions/setup-python@v5 - with: - python-version: | - 3.9 - 3.11 - - name: Install pipenv - run: pip install pipenv - - # Runs the makefile recipe `refresh-pipfilelock-files` and push the chances back to the branch - - name: Run make refresh-pipfilelock-files and push the chances back to the branch - run: | - make refresh-pipfilelock-files - git config --global user.email "github-actions[bot]@users.noreply.github.com" - git config --global user.name "GitHub Actions" - git add . - git commit -m "Update the pipfile.lock via the weekly workflow action" - git push diff --git a/.github/workflows/piplock-renewal.yaml b/.github/workflows/piplock-renewal.yaml new file mode 100644 index 000000000..f81690057 --- /dev/null +++ b/.github/workflows/piplock-renewal.yaml @@ -0,0 +1,72 @@ +--- +# This GitHub action is meant to update the pipfile.locks +name: Pipfile.locks Renewal Action + +on: # yamllint disable-line rule:truthy + # Triggers the workflow every Wednesday at 1am UTC + schedule: + - cron: "0 1 * * 3" + workflow_dispatch: # for manual trigger workflow from GH Web UI + inputs: + branch: + description: 'Specify branch' + required: false + default: 'main' + python_version: + description: 'Select Python version to update Pipfile.lock' + required: false + default: '3.11' + type: choice + options: + - '3.11' + - '3.9' + - '3.8' + update_optional_dirs: + description: 'Include optional directories in update' + required: false + default: 'false' + type: choice + options: + - 'true' + - 'false' + +jobs: + build: + runs-on: ubuntu-latest + permissions: + contents: write + env: + BRANCH: ${{ github.event.inputs.branch || 'main' }} + PYTHON_VERSION: ${{ github.event.inputs.python_version || '3.11' }} + INCLUDE_OPT_DIRS: ${{ github.event.inputs.update_optional_dirs || 'false' }} + steps: + # Checkout the specified branch from the specified organization + - name: Checkout code from the specified branch + uses: actions/checkout@v4 + with: + ref: ${{ env.BRANCH }} + token: ${{ secrets.GH_ACCESS_TOKEN }} + + # Configure Git + - name: Configure Git + run: | + git config --global user.email "github-actions[bot]@users.noreply.github.com" + git config --global user.name "GitHub Actions" + + # Setup Python environment with the specified version (or default to '3.11') + - name: Setup Python environment + uses: actions/setup-python@v5 + with: + python-version: ${{ env.PYTHON_VERSION }} + + # Install pipenv + - name: Install pipenv + run: pip install pipenv + + # Run makefile recipe to refresh Pipfile.lock and push changes back to the branch + - name: Run make refresh-pipfilelock-files and push the changes back to the branch + run: | + make refresh-pipfilelock-files PYTHON_VERSION=${{ env.PYTHON_VERSION }} INCLUDE_OPT_DIRS=${{ env.INCLUDE_OPT_DIRS }} + git add . + git commit -m "Update Pipfile.lock files by piplock-renewal.yaml action" + git push origin ${{ env.BRANCH }} diff --git a/.github/workflows/pr-merge-image-delete.yml b/.github/workflows/pr-merge-image-delete.yml index 31fef9ed2..a655a4070 100644 --- a/.github/workflows/pr-merge-image-delete.yml +++ b/.github/workflows/pr-merge-image-delete.yml @@ -59,43 +59,6 @@ jobs: set +e # Don't abort if a delete operation fails as all images might not be available for the PR - skopeo delete docker://${QUAY_IMAGE_REPO}:base-ubi9-python-3.9-pr-${{ env.PR }} - skopeo delete docker://${QUAY_IMAGE_REPO}:base-c9s-python-3.9-pr-${{ env.PR }} - skopeo delete docker://${QUAY_IMAGE_REPO}:cuda-ubi9-python-3.9-pr-${{ env.PR }} - skopeo delete docker://${QUAY_IMAGE_REPO}:cuda-c9s-python-3.9-pr-${{ env.PR }} - - skopeo delete docker://${QUAY_IMAGE_REPO}:jupyter-minimal-ubi9-python-3.9-pr-${{ env.PR }} - skopeo delete docker://${QUAY_IMAGE_REPO}:jupyter-datascience-ubi9-python-3.9-pr-${{ env.PR }} - skopeo delete docker://${QUAY_IMAGE_REPO}:jupyter-pytorch-ubi9-python-3.9-pr-${{ env.PR }} - skopeo delete docker://${QUAY_IMAGE_REPO}:jupyter-trustyai-ubi9-python-3.9-pr-${{ env.PR }} - skopeo delete docker://${QUAY_IMAGE_REPO}:cuda-jupyter-minimal-ubi9-python-3.9-pr-${{ env.PR }} - skopeo delete docker://${QUAY_IMAGE_REPO}:cuda-jupyter-datascience-ubi9-python-3.9-pr-${{ env.PR }} - skopeo delete docker://${QUAY_IMAGE_REPO}:cuda-jupyter-tensorflow-ubi9-python-3.9-pr-${{ env.PR }} - skopeo delete docker://${QUAY_IMAGE_REPO}:runtime-minimal-ubi9-python-3.9-pr-${{ env.PR }} - skopeo delete docker://${QUAY_IMAGE_REPO}:runtime-datascience-ubi9-python-3.9-pr-${{ env.PR }} - skopeo delete docker://${QUAY_IMAGE_REPO}:runtime-pytorch-ubi9-python-3.9-pr-${{ env.PR }} - skopeo delete docker://${QUAY_IMAGE_REPO}:runtime-cuda-tensorflow-ubi9-python-3.9-pr-${{ env.PR }} - skopeo delete docker://${QUAY_IMAGE_REPO}:codeserver-ubi9-python-3.9-pr-${{ env.PR }} - skopeo delete docker://${QUAY_IMAGE_REPO}:rstudio-c9s-python-3.9-pr-${{ env.PR }} - skopeo delete docker://${QUAY_IMAGE_REPO}:cuda-rstudio-c9s-python-3.9-pr-${{ env.PR }} - - skopeo delete docker://${QUAY_IMAGE_REPO}:intel-base-gpu-ubi9-python-3.9-pr-${{ env.PR }} - skopeo delete docker://${QUAY_IMAGE_REPO}:intel-runtime-tensorflow-ubi9-python-3.9-pr-${{ env.PR }} - skopeo delete docker://${QUAY_IMAGE_REPO}:intel-runtime-pytorch-ubi9-python-3.9-pr-${{ env.PR }} - skopeo delete docker://${QUAY_IMAGE_REPO}:intel-runtime-ml-ubi9-python-3.9-pr-${{ env.PR }} - - skopeo delete docker://${QUAY_IMAGE_REPO}:jupyter-intel-tensorflow-ubi9-python-3.9-pr-${{ env.PR }} - skopeo delete docker://${QUAY_IMAGE_REPO}:jupyter-intel-pytorch-ubi9-python-3.9-pr-${{ env.PR }} - skopeo delete docker://${QUAY_IMAGE_REPO}:jupyter-intel-ml-ubi9-python-3.9-pr-${{ env.PR }} - - skopeo delete docker://${QUAY_IMAGE_REPO}:rocm-ubi9-python-3.9-pr-${{ env.PR }} - skopeo delete docker://${QUAY_IMAGE_REPO}:rocm-jupyter-minimal-ubi9-python-3.9-pr-${{ env.PR }} - skopeo delete docker://${QUAY_IMAGE_REPO}:rocm-jupyter-datascience-ubi9-python-3.9-pr-${{ env.PR }} - skopeo delete docker://${QUAY_IMAGE_REPO}:rocm-jupyter-tensorflow-ubi9-python-3.9-pr-${{ env.PR }} - skopeo delete docker://${QUAY_IMAGE_REPO}:rocm-jupyter-pytorch-ubi9-python-3.9-pr-${{ env.PR }} - skopeo delete docker://${QUAY_IMAGE_REPO}:runtime-rocm-pytorch-ubi9-python-3.9-pr-${{ env.PR }} - skopeo delete docker://${QUAY_IMAGE_REPO}:runtime-rocm-tensorflow-ubi9-python-3.9-pr-${{ env.PR }} - # Python 3.11 skopeo delete docker://${QUAY_IMAGE_REPO}:base-ubi9-python-3.11-pr-${{ env.PR }} skopeo delete docker://${QUAY_IMAGE_REPO}:base-c9s-python-3.11-pr-${{ env.PR }} diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md index c864cd0ec..b180a482a 100644 --- a/CONTRIBUTING.md +++ b/CONTRIBUTING.md @@ -27,7 +27,6 @@ Pull requests are the best way to propose changes to the notebooks repository: - Create a proper filepath and naming to the corresponding folder - Add the minimum files you have to add: - Pipfile with the additional packages - - Generate the Pipfile lock by running `pipenv lock` to the corresponding pipfile directory - Dockefile with proper instructions - Kustomization objects to deploy the new notebook into an openshift cluster (Kustomization.yaml, service.yaml, statefulset.yaml) - Create instructions into Makefile, for example if you derive the new notebooks from minimal then the recipe should be like the following: @@ -38,6 +37,7 @@ Pull requests are the best way to propose changes to the notebooks repository: $(call image,$@,jupyter/${NOTEBOOK_NAME}/ubi8-python-3.8,$<) ``` - Add the paths of the new pipfiles under `refresh-pipfilelock-files` +- Run the [piplock-renewal.yaml](https://github.com/opendatahub-io/notebooks/blob/main/.github/workflows/piplock-renewal.yaml) against your fork branch, check [here](https://github.com/opendatahub-io/notebooks/blob/main/README.md) for more info. - Test the changes locally, by manually running the `$ make jupyter-${NOTEBOOK_NAME}-ubi8-python-3.8` from the terminal. diff --git a/Makefile b/Makefile index 1d5d1e817..996a0e1bc 100644 --- a/Makefile +++ b/Makefile @@ -1,15 +1,20 @@ +# https://stackoverflow.com/questions/18136918/how-to-get-current-relative-directory-of-your-makefile +ROOT_DIR := $(dir $(realpath $(lastword $(MAKEFILE_LIST)))) +SELF ::= $(firstword $(MAKEFILE_LIST)) + # https://tech.davis-hansson.com/p/make/ SHELL := bash -# todo: do not set .ONESHELL: for now +.ONESHELL: # http://redsymbol.net/articles/unofficial-bash-strict-mode/ -#.SHELLFLAGS := -eu -o pipefail -c +# https://vaneyckt.io/posts/safer_bash_scripts_with_set_euxo_pipefail/ +.SHELLFLAGS := -Eeux -o pipefail -c .DELETE_ON_ERROR: MAKEFLAGS += --warn-undefined-variables MAKEFLAGS += --no-builtin-rules # todo: leave the default recipe prefix for now ifeq ($(origin .RECIPEPREFIX), undefined) - $(error This Make does not support .RECIPEPREFIX. Please use GNU Make 4.0 or later) +$(error This Make does not support .RECIPEPREFIX. Please use GNU Make 4.0 or later) endif .RECIPEPREFIX = @@ -37,6 +42,8 @@ OS_ARCH=$(shell go env GOOS)/$(shell go env GOARCH) IMAGE_TAG ?= $(RELEASE)_$(DATE) KUBECTL_BIN ?= bin/kubectl KUBECTL_VERSION ?= v1.23.11 +YQ_BIN ?= bin/yq +YQ_VERSION ?= v4.44.6 NOTEBOOK_REPO_BRANCH_BASE ?= https://raw.githubusercontent.com/opendatahub-io/notebooks/main REQUIRED_RUNTIME_IMAGE_COMMANDS="curl python3" REQUIRED_CODE_SERVER_IMAGE_COMMANDS="curl python oc code-server" @@ -65,7 +72,8 @@ define build_image $(eval BUILD_ARGS := --build-arg BASE_IMAGE=$(BASE_IMAGE_NAME)), $(eval BUILD_ARGS :=) ) - $(CONTAINER_ENGINE) build $(CONTAINER_BUILD_CACHE_ARGS) -t $(IMAGE_NAME) $(BUILD_ARGS) $(2) + $(ROOT_DIR)/scripts/sandbox.py --dockerfile '$(2)/Dockerfile' -- \ + $(CONTAINER_ENGINE) build $(CONTAINER_BUILD_CACHE_ARGS) --tag $(IMAGE_NAME) --file '$(2)/Dockerfile' $(BUILD_ARGS) {}\; endef # Push function for the notebok image: @@ -95,111 +103,17 @@ define image ) endef -####################################### Buildchain for Python 3.9 using ubi9 ####################################### - -# Build and push base-ubi9-python-3.9 image to the registry -.PHONY: base-ubi9-python-3.9 -base-ubi9-python-3.9: - $(call image,$@,base/ubi9-python-3.9) - -# Build and push jupyter-minimal-ubi9-python-3.9 image to the registry -.PHONY: jupyter-minimal-ubi9-python-3.9 -jupyter-minimal-ubi9-python-3.9: base-ubi9-python-3.9 - $(call image,$@,jupyter/minimal/ubi9-python-3.9,$<) - -# Build and push jupyter-datascience-ubi9-python-3.9 image to the registry -.PHONY: jupyter-datascience-ubi9-python-3.9 -jupyter-datascience-ubi9-python-3.9: jupyter-minimal-ubi9-python-3.9 - $(call image,$@,jupyter/datascience/ubi9-python-3.9,$<) - -# Build and push cuda-ubi9-python-3.9 image to the registry -.PHONY: cuda-ubi9-python-3.9 -cuda-ubi9-python-3.9: base-ubi9-python-3.9 - $(call image,$@,cuda/ubi9-python-3.9,$<) - -# Build and push cuda-jupyter-minimal-ubi9-python-3.9 image to the registry -.PHONY: cuda-jupyter-minimal-ubi9-python-3.9 -cuda-jupyter-minimal-ubi9-python-3.9: cuda-ubi9-python-3.9 - $(call image,$@,jupyter/minimal/ubi9-python-3.9,$<) - -# Build and push cuda-jupyter-datascience-ubi9-python-3.9 image to the registry -.PHONY: cuda-jupyter-datascience-ubi9-python-3.9 -cuda-jupyter-datascience-ubi9-python-3.9: cuda-jupyter-minimal-ubi9-python-3.9 - $(call image,$@,jupyter/datascience/ubi9-python-3.9,$<) - -# Build and push cuda-jupyter-tensorflow-ubi9-python-3.9 image to the registry -.PHONY: cuda-jupyter-tensorflow-ubi9-python-3.9 -cuda-jupyter-tensorflow-ubi9-python-3.9: cuda-jupyter-datascience-ubi9-python-3.9 - $(call image,$@,jupyter/tensorflow/ubi9-python-3.9,$<) - -# Build and push jupyter-pytorch-ubi9-python-3.9 image to the registry -.PHONY: jupyter-pytorch-ubi9-python-3.9 -jupyter-pytorch-ubi9-python-3.9: cuda-jupyter-datascience-ubi9-python-3.9 - $(call image,$@,jupyter/pytorch/ubi9-python-3.9,$<) - -# Build and push jupyter-trustyai-ubi9-python-3.9 image to the registry -.PHONY: jupyter-trustyai-ubi9-python-3.9 -jupyter-trustyai-ubi9-python-3.9: jupyter-datascience-ubi9-python-3.9 - $(call image,$@,jupyter/trustyai/ubi9-python-3.9,$<) - -# Build and push runtime-minimal-ubi9-python-3.9 image to the registry -.PHONY: runtime-minimal-ubi9-python-3.9 -runtime-minimal-ubi9-python-3.9: base-ubi9-python-3.9 - $(call image,$@,runtimes/minimal/ubi9-python-3.9,$<) - -# Build and push runtime-datascience-ubi9-python-3.9 image to the registry -.PHONY: runtime-datascience-ubi9-python-3.9 -runtime-datascience-ubi9-python-3.9: base-ubi9-python-3.9 - $(call image,$@,runtimes/datascience/ubi9-python-3.9,$<) - -# Build and push runtime-pytorch-ubi9-python-3.9 image to the registry -.PHONY: runtime-pytorch-ubi9-python-3.9 -runtime-pytorch-ubi9-python-3.9: base-ubi9-python-3.9 - $(call image,$@,runtimes/pytorch/ubi9-python-3.9,$<) - -# Build and push runtime-cuda-tensorflow-ubi9-python-3.9 image to the registry -.PHONY: runtime-cuda-tensorflow-ubi9-python-3.9 -runtime-cuda-tensorflow-ubi9-python-3.9: cuda-ubi9-python-3.9 - $(call image,$@,runtimes/tensorflow/ubi9-python-3.9,$<) - -.PHONY: codeserver-ubi9-python-3.9 -codeserver-ubi9-python-3.9: base-ubi9-python-3.9 - $(call image,$@,codeserver/ubi9-python-3.9,$<) - -# Build and push base-anaconda-python-3.9-intel-gpu image to the registry -.PHONY: intel-base-gpu-ubi9-python-3.9 -intel-base-gpu-ubi9-python-3.9: base-ubi9-python-3.9 - $(call image,$@,intel/base/gpu/ubi9-python-3.9,$<) - -# Build and push intel-runtime-tensorflow-ubi9-python-3.9 image to the registry -.PHONY: intel-runtime-tensorflow-ubi9-python-3.9 -intel-runtime-tensorflow-ubi9-python-3.9: intel-base-gpu-ubi9-python-3.9 - $(call image,$@,intel/runtimes/tensorflow/ubi9-python-3.9,$<) - -# Build and push jupyter-intel-tensorflow-ubi9-python-3.9 image to the registry -.PHONY: jupyter-intel-tensorflow-ubi9-python-3.9 -jupyter-intel-tensorflow-ubi9-python-3.9: intel-base-gpu-ubi9-python-3.9 - $(call image,$@,jupyter/intel/tensorflow/ubi9-python-3.9,$<) - -# Build and push intel-runtime-pytorch-ubi9-python-3.9 image to the registry -.PHONY: intel-runtime-pytorch-ubi9-python-3.9 -intel-runtime-pytorch-ubi9-python-3.9: intel-base-gpu-ubi9-python-3.9 - $(call image,$@,intel/runtimes/pytorch/ubi9-python-3.9,$<) - -# Build and push jupyter-intel-pytorch-ubi9-python-3.9 image to the registry -.PHONY: jupyter-intel-pytorch-ubi9-python-3.9 -jupyter-intel-pytorch-ubi9-python-3.9: intel-base-gpu-ubi9-python-3.9 - $(call image,$@,jupyter/intel/pytorch/ubi9-python-3.9,$<) - -# Build and push intel-runtime-ml-ubi9-python-3.9 image to the registry -.PHONY: intel-runtime-ml-ubi9-python-3.9 -intel-runtime-ml-ubi9-python-3.9: base-ubi9-python-3.9 - $(call image,$@,intel/runtimes/ml/ubi9-python-3.9,$<) - -# Build and push jupyter-intel-ml-ubi9-python-3.9 image to the registry -.PHONY: jupyter-intel-ml-ubi9-python-3.9 -jupyter-intel-ml-ubi9-python-3.9: base-ubi9-python-3.9 - $(call image,$@,jupyter/intel/ml/ubi9-python-3.9,$<) +####################################### Build helpers ####################################### + +# https://stackoverflow.com/questions/78899903/how-to-create-a-make-target-which-is-an-implicit-dependency-for-all-other-target +skip-init-for := deploy% undeploy% test% scan-image-vulnerabilities +ifneq (,$(filter-out $(skip-init-for),$(MAKECMDGOALS) $(.DEFAULT_GOAL))) +$(SELF): bin/buildinputs +endif + +bin/buildinputs: scripts/buildinputs/buildinputs.go scripts/buildinputs/go.mod scripts/buildinputs/go.sum + $(info Building a Go helper for Dockerfile dependency analysis...) + go build -C "scripts/buildinputs" -o "$(ROOT_DIR)/$@" ./... ####################################### Buildchain for Python 3.11 using ubi9 ##################################### @@ -307,25 +221,6 @@ intel-runtime-ml-ubi9-python-3.11: base-ubi9-python-3.11 jupyter-intel-ml-ubi9-python-3.11: base-ubi9-python-3.11 $(call image,$@,jupyter/intel/ml/ubi9-python-3.11,$<) -####################################### Buildchain for Python 3.9 using C9S ####################################### - -# Build and push base-c9s-python-3.9 image to the registry -.PHONY: base-c9s-python-3.9 -base-c9s-python-3.9: - $(call image,$@,base/c9s-python-3.9) - -.PHONY: cuda-c9s-python-3.9 -cuda-c9s-python-3.9: base-c9s-python-3.9 - $(call image,$@,cuda/c9s-python-3.9,$<) - -.PHONY: rstudio-c9s-python-3.9 -rstudio-c9s-python-3.9: base-c9s-python-3.9 - $(call image,$@,rstudio/c9s-python-3.9,$<) - -.PHONY: cuda-rstudio-c9s-python-3.9 -cuda-rstudio-c9s-python-3.9: cuda-c9s-python-3.9 - $(call image,$@,rstudio/c9s-python-3.9,$<) - ####################################### Buildchain for Python 3.11 using C9S ####################################### # Build and push base-c9s-python-3.11 image to the registry @@ -345,41 +240,6 @@ rstudio-c9s-python-3.11: base-c9s-python-3.11 cuda-rstudio-c9s-python-3.11: cuda-c9s-python-3.11 $(call image,$@,rstudio/c9s-python-3.11,$<) -####################################### Buildchain for AMD Python 3.9 using UBI9 ####################################### -.PHONY: rocm-ubi9-python-3.9 -rocm-ubi9-python-3.9: base-ubi9-python-3.9 - $(call image,$@,rocm/ubi9-python-3.9,$<) - -# We are only using rocm-ubi9 base image here onwards -.PHONY: rocm-jupyter-minimal-ubi9-python-3.9 -rocm-jupyter-minimal-ubi9-python-3.9: rocm-ubi9-python-3.9 - $(call image,$@,jupyter/minimal/ubi9-python-3.9,$<) - -# Build and push rocm-jupyter-datascience-ubi9-python-3.9 image to the registry -.PHONY: rocm-jupyter-datascience-ubi9-python-3.9 -rocm-jupyter-datascience-ubi9-python-3.9: rocm-jupyter-minimal-ubi9-python-3.9 - $(call image,$@,jupyter/datascience/ubi9-python-3.9,$<) - -# Build and push rocm-jupyter-tensorflow-ubi9-python-3.9 image to the registry -.PHONY: rocm-jupyter-tensorflow-ubi9-python-3.9 -rocm-jupyter-tensorflow-ubi9-python-3.9: rocm-jupyter-datascience-ubi9-python-3.9 - $(call image,$@,jupyter/rocm/tensorflow/ubi9-python-3.9,$<) - -# Build and push rocm-jupyter-pytorch-ubi9-python-3.9 image to the registry -.PHONY: rocm-jupyter-pytorch-ubi9-python-3.9 -rocm-jupyter-pytorch-ubi9-python-3.9: rocm-jupyter-datascience-ubi9-python-3.9 - $(call image,$@,jupyter/rocm/pytorch/ubi9-python-3.9,$<) - -# Build and push rocm-jupyter-runtime-pytorch-ubi9-python-3.9 image to the registry -.PHONY: rocm-runtime-pytorch-ubi9-python-3.9 -rocm-runtime-pytorch-ubi9-python-3.9: rocm-ubi9-python-3.9 - $(call image,$@,runtimes/rocm-pytorch/ubi9-python-3.9,$<) - -# Build and push rocm-jupyter-runtime-tensorflow-ubi9-python-3.9 image to the registry -.PHONY: rocm-runtime-tensorflow-ubi9-python-3.9 -rocm-runtime-tensorflow-ubi9-python-3.9: rocm-ubi9-python-3.9 - $(call image,$@,runtimes/rocm-tensorflow/ubi9-python-3.9,$<) - ####################################### Buildchain for AMD Python 3.11 using UBI9 ####################################### .PHONY: rocm-ubi9-python-3.11 rocm-ubi9-python-3.11: base-ubi9-python-3.11 @@ -427,8 +287,19 @@ ifeq (,$(wildcard $(KUBECTL_BIN))) @chmod +x $(KUBECTL_BIN) endif +# Download yq binary +.PHONY: bin/yq +bin/yq: + $(eval YQ_RELEASE_FILE := yq_$(subst /,_,$(OS_ARCH))) +ifeq (,$(wildcard $(YQ_BIN))) + @mkdir -p bin + @curl -sSL https://github.com/mikefarah/yq/releases/download/${YQ_VERSION}/${YQ_RELEASE_FILE} > \ + $(YQ_BIN) + @chmod +x $(YQ_BIN) +endif + .PHONY: deploy9 -deploy9-%: bin/kubectl +deploy9-%: bin/kubectl bin/yq $(eval TARGET := $(shell echo $* | sed 's/-ubi9-python.*//')) $(eval PYTHON_VERSION := $(shell echo $* | sed 's/.*-python-//')) $(eval NOTEBOOK_DIR := $(subst -,/,$(subst cuda-,,$(TARGET)))/ubi9-python-$(PYTHON_VERSION)/kustomize/base) @@ -436,8 +307,8 @@ ifndef NOTEBOOK_TAG $(eval NOTEBOOK_TAG := $*-$(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' $(NOTEBOOK_DIR)/kustomization.yaml + @arg=$(IMAGE_REGISTRY) $(YQ_BIN) e -i '.images[].newName = strenv(arg)' $(NOTEBOOK_DIR)/kustomization.yaml + @arg=$(NOTEBOOK_TAG) $(YQ_BIN) e -i '.images[].newTag = strenv(arg)' $(NOTEBOOK_DIR)/kustomization.yaml $(KUBECTL_BIN) apply -k $(NOTEBOOK_DIR) .PHONY: undeploy9 @@ -449,7 +320,7 @@ undeploy9-%: bin/kubectl $(KUBECTL_BIN) delete -k $(NOTEBOOK_DIR) .PHONY: deploy-c9s -deploy-c9s-%: bin/kubectl +deploy-c9s-%: bin/kubectl bin/yq $(eval TARGET := $(shell echo $* | sed 's/-c9s-python.*//')) $(eval PYTHON_VERSION := $(shell echo $* | sed 's/.*-python-//')) $(eval NOTEBOOK_DIR := $(subst -,/,$(subst cuda-,,$(TARGET)))/c9s-python-$(PYTHON_VERSION)/kustomize/base) @@ -457,8 +328,8 @@ ifndef NOTEBOOK_TAG $(eval NOTEBOOK_TAG := $*-$(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' $(NOTEBOOK_DIR)/kustomization.yaml + @arg=$(IMAGE_REGISTRY) $(YQ_BIN) e -i '.images[].newName = strenv(arg)' $(NOTEBOOK_DIR)/kustomization.yaml + @arg=$(NOTEBOOK_TAG) $(YQ_BIN) e -i '.images[].newTag = strenv(arg)' $(NOTEBOOK_DIR)/kustomization.yaml $(KUBECTL_BIN) apply -k $(NOTEBOOK_DIR) .PHONY: undeploy-c9s @@ -474,18 +345,16 @@ undeploy-c9s-%: bin/kubectl # ARG 1: UBI flavor # ARG 1: Python kernel define test_with_papermill - $(eval PREFIX_NAME := $(subst /,-,$(1)_$(2))) \ - $(KUBECTL_BIN) exec $(FULL_NOTEBOOK_NAME) -- /bin/sh -c "python3 -m pip install papermill" ; \ - $(KUBECTL_BIN) exec $(FULL_NOTEBOOK_NAME) -- /bin/sh -c "wget ${NOTEBOOK_REPO_BRANCH_BASE}/jupyter/$(1)/$(2)-$(3)/test/test_notebook.ipynb -O test_notebook.ipynb && python3 -m papermill test_notebook.ipynb $(PREFIX_NAME)_output.ipynb --kernel python3 --stderr-file $(PREFIX_NAME)_error.txt" ; \ - if [ $$? -ne 0 ]; then \ - echo "ERROR: The $(1) $(2) notebook encountered a failure. To investigate the issue, you can review the logs located in the ocp-ci cluster on 'artifacts/notebooks-e2e-tests/jupyter-$(1)-$(2)-$(3)-test-e2e' directory or run 'cat $(PREFIX_NAME)_error.txt' within your container. The make process has been aborted." ; \ - exit 1 ; \ - fi ; \ - $(KUBECTL_BIN) exec $(FULL_NOTEBOOK_NAME) -- /bin/sh -c "cat $(PREFIX_NAME)_error.txt | grep --quiet FAILED" ; \ - if [ $$? -eq 0 ]; then \ - echo "ERROR: The $(1) $(2) notebook encountered a failure. The make process has been aborted." ; \ - $(KUBECTL_BIN) exec $(FULL_NOTEBOOK_NAME) -- /bin/sh -c "cat $(PREFIX_NAME)_error.txt" ; \ - exit 1 ; \ + $(eval PREFIX_NAME := $(subst /,-,$(1)_$(2))) + $(KUBECTL_BIN) exec $(FULL_NOTEBOOK_NAME) -- /bin/sh -c "python3 -m pip install papermill" + if ! $(KUBECTL_BIN) exec $(FULL_NOTEBOOK_NAME) -- /bin/sh -c "wget ${NOTEBOOK_REPO_BRANCH_BASE}/jupyter/$(1)/$(2)-$(3)/test/test_notebook.ipynb -O test_notebook.ipynb && python3 -m papermill test_notebook.ipynb $(PREFIX_NAME)_output.ipynb --kernel python3 --stderr-file $(PREFIX_NAME)_error.txt" ; then + echo "ERROR: The $(1) $(2) notebook encountered a failure. To investigate the issue, you can review the logs located in the ocp-ci cluster on 'artifacts/notebooks-e2e-tests/jupyter-$(1)-$(2)-$(3)-test-e2e' directory or run 'cat $(PREFIX_NAME)_error.txt' within your container. The make process has been aborted." + exit 1 + fi + if $(KUBECTL_BIN) exec $(FULL_NOTEBOOK_NAME) -- /bin/sh -c "cat $(PREFIX_NAME)_error.txt | grep --quiet FAILED" ; then + echo "ERROR: The $(1) $(2) notebook encountered a failure. The make process has been aborted." + $(KUBECTL_BIN) exec $(FULL_NOTEBOOK_NAME) -- /bin/sh -c "cat $(PREFIX_NAME)_error.txt" + exit 1 fi endef @@ -497,32 +366,32 @@ test-%: bin/kubectl $(eval PYTHON_VERSION := $(shell echo $* | sed 's/.*-python-//')) $(info # Running tests for $(NOTEBOOK_NAME) notebook...) $(KUBECTL_BIN) wait --for=condition=ready pod -l app=$(NOTEBOOK_NAME) --timeout=600s - $(KUBECTL_BIN) port-forward svc/$(NOTEBOOK_NAME)-notebook 8888:8888 & curl --retry 5 --retry-delay 5 --retry-connrefused http://localhost:8888/notebook/opendatahub/jovyan/api ; EXIT_CODE=$$?; echo && pkill --full "^$(KUBECTL_BIN).*port-forward.*"; \ + $(KUBECTL_BIN) port-forward svc/$(NOTEBOOK_NAME)-notebook 8888:8888 & curl --retry 5 --retry-delay 5 --retry-connrefused http://localhost:8888/notebook/opendatahub/jovyan/api ; EXIT_CODE=$$?; echo && pkill --full "^$(KUBECTL_BIN).*port-forward.*" $(eval FULL_NOTEBOOK_NAME = $(shell ($(KUBECTL_BIN) get pods -l app=$(NOTEBOOK_NAME) -o custom-columns=":metadata.name" | tr -d '\n'))) # Tests notebook's functionalities - if echo "$(FULL_NOTEBOOK_NAME)" | grep -q "minimal-ubi9"; then \ - $(call test_with_papermill,minimal,ubi9,python-$(PYTHON_VERSION)) \ - elif echo "$(FULL_NOTEBOOK_NAME)" | grep -q "intel-tensorflow-ubi9"; then \ - $(call test_with_papermill,intel/tensorflow,ubi9,python-$(PYTHON_VERSION)) \ - elif echo "$(FULL_NOTEBOOK_NAME)" | grep -q "intel-pytorch-ubi9"; then \ - $(call test_with_papermill,intel/pytorch,ubi9,python-$(PYTHON_VERSION)) \ - elif echo "$(FULL_NOTEBOOK_NAME)" | grep -q "datascience-ubi9"; then \ - $(MAKE) validate-ubi9-datascience PYTHON_VERSION=$(PYTHON_VERSION) -e FULL_NOTEBOOK_NAME=$(FULL_NOTEBOOK_NAME); \ - elif echo "$(FULL_NOTEBOOK_NAME)" | grep -q "pytorch-ubi9"; then \ - $(MAKE) validate-ubi9-datascience PYTHON_VERSION=$(PYTHON_VERSION) -e FULL_NOTEBOOK_NAME=$(FULL_NOTEBOOK_NAME); \ - $(call test_with_papermill,pytorch,ubi9,python-$(PYTHON_VERSION)) \ - elif echo "$(FULL_NOTEBOOK_NAME)" | grep -q "tensorflow-ubi9"; then \ - $(MAKE) validate-ubi9-datascience PYTHON_VERSION=$(PYTHON_VERSION) -e FULL_NOTEBOOK_NAME=$(FULL_NOTEBOOK_NAME); \ - $(call test_with_papermill,tensorflow,ubi9,python-$(PYTHON_VERSION)) \ - elif echo "$(FULL_NOTEBOOK_NAME)" | grep -q "intel-ml-ubi9"; then \ - $(call test_with_papermill,intel/ml,ubi9,python-$(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 "anaconda"; then \ - echo "There is no test notebook implemented yet for Anaconda Notebook...." \ - else \ - echo "No matching condition found for $(FULL_NOTEBOOK_NAME)." ; \ + if echo "$(FULL_NOTEBOOK_NAME)" | grep -q "minimal-ubi9"; then + $(call test_with_papermill,minimal,ubi9,python-$(PYTHON_VERSION)) + elif echo "$(FULL_NOTEBOOK_NAME)" | grep -q "intel-tensorflow-ubi9"; then + $(call test_with_papermill,intel/tensorflow,ubi9,python-$(PYTHON_VERSION)) + elif echo "$(FULL_NOTEBOOK_NAME)" | grep -q "intel-pytorch-ubi9"; then + $(call test_with_papermill,intel/pytorch,ubi9,python-$(PYTHON_VERSION)) + elif echo "$(FULL_NOTEBOOK_NAME)" | grep -q "datascience-ubi9"; then + $(MAKE) validate-ubi9-datascience PYTHON_VERSION=$(PYTHON_VERSION) -e FULL_NOTEBOOK_NAME=$(FULL_NOTEBOOK_NAME) + elif echo "$(FULL_NOTEBOOK_NAME)" | grep -q "pytorch-ubi9"; then + $(MAKE) validate-ubi9-datascience PYTHON_VERSION=$(PYTHON_VERSION) -e FULL_NOTEBOOK_NAME=$(FULL_NOTEBOOK_NAME) + $(call test_with_papermill,pytorch,ubi9,python-$(PYTHON_VERSION)) + elif echo "$(FULL_NOTEBOOK_NAME)" | grep -q "tensorflow-ubi9"; then + $(MAKE) validate-ubi9-datascience PYTHON_VERSION=$(PYTHON_VERSION) -e FULL_NOTEBOOK_NAME=$(FULL_NOTEBOOK_NAME) + $(call test_with_papermill,tensorflow,ubi9,python-$(PYTHON_VERSION)) + elif echo "$(FULL_NOTEBOOK_NAME)" | grep -q "intel-ml-ubi9"; then + $(call test_with_papermill,intel/ml,ubi9,python-$(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 "anaconda"; then + echo "There is no test notebook implemented yet for Anaconda Notebook...." + else + echo "No matching condition found for $(FULL_NOTEBOOK_NAME)." fi .PHONY: validate-ubi9-datascience @@ -537,37 +406,35 @@ validate-runtime-image: bin/kubectl $(eval NOTEBOOK_NAME := $(subst .,-,$(subst cuda-,,$*))) $(info # Running tests for $(NOTEBOOK_NAME) runtime...) $(KUBECTL_BIN) wait --for=condition=ready pod runtime-pod --timeout=300s - @required_commands=$(REQUIRED_RUNTIME_IMAGE_COMMANDS) ; \ - fail=0 ; \ - if [[ $$image == "" ]] ; then \ - echo "Usage: make validate-runtime-image image=" ; \ - exit 1 ; \ - fi ; \ - for cmd in $$required_commands ; do \ - echo "=> Checking container image $$image for $$cmd..." ; \ - $(KUBECTL_BIN) exec runtime-pod which $$cmd > /dev/null 2>&1 ; \ - if [ $$? -ne 0 ]; then \ - echo "ERROR: Container image $$image does not meet criteria for command: $$cmd" ; \ - fail=1; \ - continue; \ - fi; \ - if [ $$cmd == "python3" ]; then \ - echo "=> Checking notebook execution..." ; \ - $(KUBECTL_BIN) exec runtime-pod -- /bin/sh -c "curl https://raw.githubusercontent.com/opendatahub-io/elyra/refs/heads/main/etc/generic/requirements-elyra.txt --output req.txt && \ - python3 -m pip install -r req.txt > /dev/null && \ - curl https://raw.githubusercontent.com/nteract/papermill/main/papermill/tests/notebooks/simple_execute.ipynb --output simple_execute.ipynb && \ - python3 -m papermill simple_execute.ipynb output.ipynb > /dev/null" ; \ - if [ $$? -ne 0 ]; then \ - echo "ERROR: Image does not meet Python requirements criteria in pipfile" ; \ - fail=1; \ - fi; \ - fi; \ - done ; \ - if [ $$fail -eq 1 ]; then \ - echo "=> ERROR: Container image $$image is not a suitable Elyra runtime image" ; \ - exit 1 ; \ - else \ - echo "=> Container image $$image is a suitable Elyra runtime image" ; \ + @required_commands=$(REQUIRED_RUNTIME_IMAGE_COMMANDS) + fail=0 + if [[ $$image == "" ]] ; then + echo "Usage: make validate-runtime-image image=" + exit 1 + fi + for cmd in $$required_commands ; do + echo "=> Checking container image $$image for $$cmd..." + if ! $(KUBECTL_BIN) exec runtime-pod which $$cmd > /dev/null 2>&1 ; then + echo "ERROR: Container image $$image does not meet criteria for command: $$cmd" + fail=1 + continue + fi + if [ $$cmd == "python3" ]; then + echo "=> Checking notebook execution..." + if ! $(KUBECTL_BIN) exec runtime-pod -- /bin/sh -c "curl https://raw.githubusercontent.com/opendatahub-io/elyra/refs/heads/main/etc/generic/requirements-elyra.txt --output req.txt && \ + python3 -m pip install -r req.txt > /dev/null && \ + curl https://raw.githubusercontent.com/nteract/papermill/main/papermill/tests/notebooks/simple_execute.ipynb --output simple_execute.ipynb && \ + python3 -m papermill simple_execute.ipynb output.ipynb > /dev/null" ; then + echo "ERROR: Image does not meet Python requirements criteria in pipfile" + fail=1 + fi + fi + done + if [ $$fail -eq 1 ]; then + echo "=> ERROR: Container image $$image is not a suitable Elyra runtime image" + exit 1 + else + echo "=> Container image $$image is a suitable Elyra runtime image" fi; .PHONY: validate-codeserver-image @@ -575,20 +442,19 @@ validate-codeserver-image: bin/kubectl $(eval NOTEBOOK_NAME := $(subst .,-,$(subst cuda-,,$*))) $(info # Running tests for $(NOTEBOOK_NAME) code-server image...) $(KUBECTL_BIN) wait --for=condition=ready pod codeserver-pod --timeout=300s - @required_commands=$(REQUIRED_CODE_SERVER_IMAGE_COMMANDS) ; \ - if [[ $$image == "" ]] ; then \ - echo "Usage: make validate-codeserver-image image=" ; \ - exit 1 ; \ - fi ; \ - for cmd in $$required_commands ; do \ - echo "=> Checking container image $$image for $$cmd..." ; \ - $(KUBECTL_BIN) exec codeserver-pod which $$cmd > /dev/null 2>&1 ; \ - if [ $$? -ne 0 ]; then \ - echo "ERROR: Container image $$image does not meet criteria for command: $$cmd" ; \ - fail=1; \ - continue; \ - fi; \ - done ; \ + @required_commands=$(REQUIRED_CODE_SERVER_IMAGE_COMMANDS) + if [[ $$image == "" ]] ; then + echo "Usage: make validate-codeserver-image image=" + exit 1 + fi + for cmd in $$required_commands ; do + echo "=> Checking container image $$image for $$cmd..." + if ! $(KUBECTL_BIN) exec codeserver-pod which $$cmd > /dev/null 2>&1 ; then + echo "ERROR: Container image $$image does not meet criteria for command: $$cmd" + fail=1 + continue + fi + done .PHONY: validate-rstudio-image validate-rstudio-image: bin/kubectl @@ -596,78 +462,97 @@ validate-rstudio-image: bin/kubectl $(eval PYTHON_VERSION := $(shell echo $(image) | sed 's/.*-python-//')) $(info # Running tests for $(NOTEBOOK_NAME) RStudio Server image...) $(KUBECTL_BIN) wait --for=condition=ready pod rstudio-pod --timeout=300s - @required_commands=$(REQUIRED_R_STUDIO_IMAGE_COMMANDS) ; \ - if [[ $$image == "" ]] ; then \ - echo "Usage: make validate-rstudio-image image=" ; \ - exit 1 ; \ - fi ; \ - echo "=> Checking container image $$image for package intallation..." ; \ - $(KUBECTL_BIN) exec -it rstudio-pod -- mkdir -p /opt/app-root/src/R/temp-library > /dev/null 2>&1 ; \ - $(KUBECTL_BIN) exec rstudio-pod -- R -e "install.packages('tinytex', lib='/opt/app-root/src/R/temp-library')" > /dev/null 2>&1 ; \ - if [ $$? -eq 0 ]; then \ - echo "Tinytex installation successful!"; \ - else \ - echo "Error: Tinytex installation failed."; \ - fi; \ - for cmd in $$required_commands ; do \ - echo "=> Checking container image $$image for $$cmd..." ; \ - $(KUBECTL_BIN) exec rstudio-pod which $$cmd > /dev/null 2>&1 ; \ - if [ $$? -eq 0 ]; then \ - echo "$$cmd executed successfuly!"; \ - else \ - echo "ERROR: Container image $$image does not meet criteria for command: $$cmd" ; \ - fail=1; \ - continue; \ - fi; \ - done ; \ - echo "=> Fetching R script from URL and executing on the container..."; \ - curl -sSL -o test_script.R "${NOTEBOOK_REPO_BRANCH_BASE}/rstudio/c9s-python-$(PYTHON_VERSION)/test/test_script.R" > /dev/null 2>&1 ; \ - $(KUBECTL_BIN) cp test_script.R rstudio-pod:/opt/app-root/src/test_script.R > /dev/null 2>&1; \ - $(KUBECTL_BIN) exec rstudio-pod -- Rscript /opt/app-root/src/test_script.R > /dev/null 2>&1 ; \ - if [ $$? -eq 0 ]; then \ - echo "R script executed successfully!"; \ - rm test_script.R ; \ - else \ - echo "Error: R script failed."; \ - fail=1; \ - continue; \ - fi; \ + @required_commands=$(REQUIRED_R_STUDIO_IMAGE_COMMANDS) + if [[ $$image == "" ]] ; then + echo "Usage: make validate-rstudio-image image=" + exit 1 + fi + echo "=> Checking container image $$image for package installation..." + $(KUBECTL_BIN) exec -it rstudio-pod -- mkdir -p /opt/app-root/src/R/temp-library > /dev/null 2>&1 + if $(KUBECTL_BIN) exec rstudio-pod -- R -e "install.packages('tinytex', lib='/opt/app-root/src/R/temp-library')" > /dev/null 2>&1 ; then + echo "Tinytex installation successful!" + else + echo "Error: Tinytex installation failed." + fi + for cmd in $$required_commands ; do + echo "=> Checking container image $$image for $$cmd..." + if $(KUBECTL_BIN) exec rstudio-pod which $$cmd > /dev/null 2>&1 ; then + echo "$$cmd executed successfully!" + else + echo "ERROR: Container image $$image does not meet criteria for command: $$cmd" + fail=1 + continue + fi + done + echo "=> Fetching R script from URL and executing on the container..." + curl -sSL -o test_script.R "${NOTEBOOK_REPO_BRANCH_BASE}/rstudio/c9s-python-$(PYTHON_VERSION)/test/test_script.R" > /dev/null 2>&1 + $(KUBECTL_BIN) cp test_script.R rstudio-pod:/opt/app-root/src/test_script.R > /dev/null 2>&1 + if $(KUBECTL_BIN) exec rstudio-pod -- Rscript /opt/app-root/src/test_script.R > /dev/null 2>&1 ; then + echo "R script executed successfully!" + rm test_script.R + else + echo "Error: R script failed." + fail=1 + continue + fi -# This is only for the workflow action +# This recipe used mainly from the Pipfile.locks Renewal Action +# Default Python version +PYTHON_VERSION ?= 3.11 +ROOT_DIR := $(shell pwd) +BASE_DIRS := base/c9s-python-$(PYTHON_VERSION) \ + base/ubi9-python-$(PYTHON_VERSION) \ + jupyter/minimal/ubi9-python-$(PYTHON_VERSION) \ + jupyter/datascience/ubi9-python-$(PYTHON_VERSION) \ + jupyter/pytorch/ubi9-python-$(PYTHON_VERSION) \ + jupyter/tensorflow/ubi9-python-$(PYTHON_VERSION) \ + jupyter/trustyai/ubi9-python-$(PYTHON_VERSION) \ + jupyter/rocm/tensorflow/ubi9-python-$(PYTHON_VERSION) \ + jupyter/rocm/pytorch/ubi9-python-$(PYTHON_VERSION) \ + codeserver/ubi9-python-$(PYTHON_VERSION) \ + runtimes/minimal/ubi9-python-$(PYTHON_VERSION) \ + runtimes/datascience/ubi9-python-$(PYTHON_VERSION) \ + runtimes/pytorch/ubi9-python-$(PYTHON_VERSION) \ + runtimes/tensorflow/ubi9-python-$(PYTHON_VERSION) \ + runtimes/rocm-tensorflow/ubi9-python-$(PYTHON_VERSION) \ + runtimes/rocm-pytorch/ubi9-python-$(PYTHON_VERSION) + +# Default value is false, can be overiden +# The below directories are not supported on tier-1 +INCLUDE_OPT_DIRS ?= false +OPT_DIRS := jupyter/intel/ml/ubi9-python-$(PYTHON_VERSION) \ + jupyter/intel/pytorch/ubi9-python-$(PYTHON_VERSION) \ + jupyter/intel/tensorflow/ubi9-python-$(PYTHON_VERSION) \ + intel/runtimes/ml/ubi9-python-$(PYTHON_VERSION) \ + intel/runtimes/pytorch/ubi9-python-$(PYTHON_VERSION) \ + intel/runtimes/tensorflow/ubi9-python-$(PYTHON_VERSION) + +# This recipe gets args, can be used like +# make refresh-pipfilelock-files PYTHON_VERSION=3.11 INCLUDE_OPT_DIRS=false .PHONY: refresh-pipfilelock-files refresh-pipfilelock-files: - cd base/ubi9-python-3.9 && pipenv lock - cd base/c9s-python-3.9 && pipenv lock - cd jupyter/minimal/ubi9-python-3.9 && 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 runtimes/minimal/ubi9-python-3.9 && pipenv lock - cd runtimes/datascience/ubi9-python-3.9 && pipenv lock - cd runtimes/pytorch/ubi9-python-3.9 && 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 - cd base/c9s-python-3.11 && pipenv lock - cd base/ubi9-python-3.11 && pipenv lock - cd codeserver/ubi9-python-3.11 && pipenv lock - cd jupyter/minimal/ubi9-python-3.11 && pipenv lock - cd jupyter/datascience/ubi9-python-3.11 && pipenv lock - cd jupyter/pytorch/ubi9-python-3.11 && pipenv lock - cd jupyter/tensorflow/ubi9-python-3.11 && pipenv lock - cd jupyter/trustyai/ubi9-python-3.11 && pipenv lock - cd jupyter/rocm/tensorflow/ubi9-python-3.11 && pipenv lock - cd jupyter/rocm/pytorch/ubi9-python-3.11 && pipenv lock - cd runtimes/minimal/ubi9-python-3.11 && pipenv lock - cd runtimes/datascience/ubi9-python-3.11 && pipenv lock - cd runtimes/pytorch/ubi9-python-3.11 && pipenv lock - cd runtimes/tensorflow/ubi9-python-3.11 && pipenv lock - cd runtimes/rocm-tensorflow/ubi9-python-3.11 && pipenv lock - cd runtimes/rocm-pytorch/ubi9-python-3.11 && pipenv lock - - - + @echo "Updating Pipfile.lock files for Python $(PYTHON_VERSION)" + @if [ "$(INCLUDE_OPT_DIRS)" = "true" ]; then + echo "Including optional directories" + DIRS="$(BASE_DIRS) $(OPT_DIRS)" + else + DIRS="$(BASE_DIRS)" + fi + for dir in $$DIRS; do + echo "Processing directory: $$dir" + cd $(ROOT_DIR) + if [ -d "$$dir" ]; then + echo "Updating $(PYTHON_VERSION) Pipfile.lock in $$dir" + cd $$dir + if [ -f "Pipfile" ]; then + pipenv lock + else + echo "No Pipfile found in $$dir, skipping." + fi + else + echo "Skipping $$dir as it does not exist" + fi + done # This is only for the workflow action # For running manually, set the required environment variables diff --git a/OWNERS b/OWNERS index 1883cb0b1..cab2018ed 100644 --- a/OWNERS +++ b/OWNERS @@ -1,4 +1,5 @@ approvers: + - andyatmiami - atheo89 - caponetto - daniellutz @@ -8,6 +9,7 @@ approvers: - paulovmr reviewers: + - andyatmiami - atheo89 - caponetto - daniellutz diff --git a/README.md b/README.md index 7120bb7a4..a54fbe173 100644 --- a/README.md +++ b/README.md @@ -51,6 +51,12 @@ Use podman/docker to execute the workbench images as container. podman run -it -p 8888:8888 quay.io/opendatahub/workbench-images:jupyter-minimal-ubi9-python-3.9-2024a-20240317-6f4c36b ``` +### Pipfile.lock Generation + +Users can update Pipfile.lock files using the [piplock-renewal.yaml](https://github.com/opendatahub-io/notebooks/blob/main/.github/workflows/piplock-renewal.yaml) GitHub Action. This workflow enables users to specify a target branch for updating and automerging Pipfile.lock files, select the desired Python version for the update as well as to choose whether to include optional directories in the update process. After the action completes, the updated files can be retrieved with a simple git pull. + +Note: To ensure the GitHub Action runs successfully, users must add a `GH_ACCESS_TOKEN` secret in their fork. + ### Deploy & Test #### Running Python selftests in Pytest diff --git a/base/c9s-python-3.11/Dockerfile b/base/c9s-python-3.11/Dockerfile index f0f0d570c..05a9363bd 100644 --- a/base/c9s-python-3.11/Dockerfile +++ b/base/c9s-python-3.11/Dockerfile @@ -1,5 +1,7 @@ FROM quay.io/sclorg/python-311-c9s:c9s +ARG SOURCE_CODE=base/c9s-python-3.11 + LABEL name="odh-notebook-base-centos-stream9-python-3.11" \ summary="Python 3.11 CentOS Stream 9 base image for ODH notebooks" \ description="Base Python 3.11 builder image based on CentOS Stream 9 for ODH notebooks" \ @@ -16,7 +18,7 @@ WORKDIR /opt/app-root/bin RUN pip install --no-cache-dir -U "micropipenv[toml]" # Install Python dependencies from Pipfile.lock file -COPY Pipfile.lock ./ +COPY ${SOURCE_CODE}/Pipfile.lock ./ # OS Packages needs to be installed as root USER root diff --git a/base/c9s-python-3.11/Pipfile b/base/c9s-python-3.11/Pipfile index 9b2f12e58..dfda2ab94 100644 --- a/base/c9s-python-3.11/Pipfile +++ b/base/c9s-python-3.11/Pipfile @@ -8,7 +8,7 @@ verify_ssl = true [packages] # Base packages wheel = "~=0.43.0" -setuptools = "~=69.2.0" +setuptools = "~=70.0.0" [requires] python_version = "3.11" diff --git a/base/c9s-python-3.11/Pipfile.lock b/base/c9s-python-3.11/Pipfile.lock index 26a94d9a8..cc8535183 100644 --- a/base/c9s-python-3.11/Pipfile.lock +++ b/base/c9s-python-3.11/Pipfile.lock @@ -1,7 +1,7 @@ { "_meta": { "hash": { - "sha256": "6502054abe1adaf46b5a0ddc7b60b5a5757f05003474359a1575194d68c48d04" + "sha256": "ad3d1d3848314cd02c56bfde2b2a468e3a75b72c7d6d766e2cdc6f6ad863ef71" }, "pipfile-spec": 6, "requires": { @@ -18,12 +18,12 @@ "default": { "setuptools": { "hashes": [ - "sha256:0ff4183f8f42cd8fa3acea16c45205521a4ef28f73c6391d8a25e92893134f2e", - "sha256:c21c49fb1042386df081cb5d86759792ab89efca84cf114889191cd09aacc80c" + "sha256:54faa7f2e8d2d11bcd2c07bed282eef1046b5c080d1c32add737d7b5817b1ad4", + "sha256:f211a66637b8fa059bb28183da127d4e86396c991a942b028c6650d4319c3fd0" ], "index": "pypi", "markers": "python_version >= '3.8'", - "version": "==69.2.0" + "version": "==70.0.0" }, "wheel": { "hashes": [ diff --git a/base/c9s-python-3.9/Dockerfile b/base/c9s-python-3.9/Dockerfile deleted file mode 100644 index ea94c6e73..000000000 --- a/base/c9s-python-3.9/Dockerfile +++ /dev/null @@ -1,40 +0,0 @@ -FROM quay.io/sclorg/python-39-c9s:c9s - -LABEL name="odh-notebook-base-centos-stream9-python-3.9" \ - summary="Python 3.9 CentOS Stream 9 base image for ODH notebooks" \ - description="Base Python 3.9 builder image based on CentOS Stream 9 for ODH notebooks" \ - io.k8s.display-name="Python 3.9 c9s base image for ODH notebooks" \ - io.k8s.description="Base Python 3.9 builder image based on C9S 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/c9s-python-3.9" \ - io.openshift.build.image="quay.io/opendatahub/workbench-images:base-c9s-python-3.9" - -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 ./ - -# OS Packages needs to be installed as root -USER root - -# Install usefull OS packages -RUN dnf install -y mesa-libGL && dnf clean all && rm -rf /var/cache/yum - -# Other apps and tools installed as default user -USER 1001 - -RUN echo "Installing softwares and packages" && micropipenv install && rm -f ./Pipfile.lock && \ - # Install the oc client \ - 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 \ - chmod -R g+w /opt/app-root/lib/python3.9/site-packages && \ - fix-permissions /opt/app-root -P - -WORKDIR /opt/app-root/src diff --git a/base/c9s-python-3.9/Pipfile b/base/c9s-python-3.9/Pipfile deleted file mode 100644 index 5b19e0bf2..000000000 --- a/base/c9s-python-3.9/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 = "3.9" diff --git a/base/c9s-python-3.9/Pipfile.lock b/base/c9s-python-3.9/Pipfile.lock deleted file mode 100644 index d54a92fd8..000000000 --- a/base/c9s-python-3.9/Pipfile.lock +++ /dev/null @@ -1,39 +0,0 @@ -{ - "_meta": { - "hash": { - "sha256": "3a4aa84e453df0d1f998293b4d762e9e3ace440d32a12f7c638efa1ce97bd10a" - }, - "pipfile-spec": 6, - "requires": { - "python_version": "3.9" - }, - "sources": [ - { - "name": "pypi", - "url": "https://pypi.org/simple", - "verify_ssl": true - } - ] - }, - "default": { - "setuptools": { - "hashes": [ - "sha256:0ff4183f8f42cd8fa3acea16c45205521a4ef28f73c6391d8a25e92893134f2e", - "sha256:c21c49fb1042386df081cb5d86759792ab89efca84cf114889191cd09aacc80c" - ], - "index": "pypi", - "markers": "python_version >= '3.8'", - "version": "==69.2.0" - }, - "wheel": { - "hashes": [ - "sha256:465ef92c69fa5c5da2d1cf8ac40559a8c940886afcef87dcf14b9470862f1d85", - "sha256:55c570405f142630c6b9f72fe09d9b67cf1477fcf543ae5b8dcb1f5b7377da81" - ], - "index": "pypi", - "markers": "python_version >= '3.8'", - "version": "==0.43.0" - } - }, - "develop": {} -} diff --git a/base/ubi9-python-3.11/Dockerfile b/base/ubi9-python-3.11/Dockerfile index 063b628ee..e6f327a52 100644 --- a/base/ubi9-python-3.11/Dockerfile +++ b/base/ubi9-python-3.11/Dockerfile @@ -1,5 +1,7 @@ FROM registry.access.redhat.com/ubi9/python-311:latest +ARG SOURCE_CODE=base/ubi9-python-3.11 + LABEL name="odh-notebook-base-ubi9-python-3.11" \ summary="Python 3.11 base image for ODH notebooks" \ description="Base Python 3.11 builder image based on UBI9 for ODH notebooks" \ @@ -16,7 +18,7 @@ WORKDIR /opt/app-root/bin RUN pip install --no-cache-dir -U "micropipenv[toml]" # Install Python dependencies from Pipfile.lock file -COPY Pipfile.lock ./ +COPY ${SOURCE_CODE}/Pipfile.lock ./ RUN echo "Installing softwares and packages" && micropipenv install && rm -f ./Pipfile.lock diff --git a/base/ubi9-python-3.9/Dockerfile b/base/ubi9-python-3.9/Dockerfile deleted file mode 100644 index 179061a41..000000000 --- a/base/ubi9-python-3.9/Dockerfile +++ /dev/null @@ -1,42 +0,0 @@ -FROM registry.access.redhat.com/ubi9/python-39:latest - -LABEL name="odh-notebook-base-ubi9-python-3.9" \ - summary="Python 3.9 base image for ODH notebooks" \ - description="Base Python 3.9 builder image based on UBI9 for ODH notebooks" \ - io.k8s.display-name="Python 3.9 base image for ODH notebooks" \ - io.k8s.description="Base Python 3.9 builder image based on UBI9 for ODH notebooks" \ - authoritative-source-url="https://github.com/opendatahub-io/notebooks" \ - io.openshift.build.commit.ref="main" \ - io.openshift.build.source-location="https://github.com/opendatahub-io/notebooks/tree/main/base/ubi9-python-3.9" \ - io.openshift.build.image="quay.io/opendatahub/workbench-images:base-ubi9-python-3.9" - -WORKDIR /opt/app-root/bin - -# Install micropipenv to deploy packages from Pipfile.lock -RUN pip install --no-cache-dir -U "micropipenv[toml]" - -# Install Python dependencies from Pipfile.lock file -COPY Pipfile.lock ./ - -RUN echo "Installing softwares and packages" && micropipenv install && rm -f ./Pipfile.lock - -# OS Packages needs to be installed as root -USER root - -# Install usefull OS packages -RUN dnf install -y mesa-libGL && dnf clean all && rm -rf /var/cache/yum - -# Other apps and tools installed as default user -USER 1001 - -# Install the oc client -RUN curl -L https://mirror.openshift.com/pub/openshift-v4/$(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/python3.9/site-packages && \ - fix-permissions /opt/app-root -P - -WORKDIR /opt/app-root/src diff --git a/base/ubi9-python-3.9/Pipfile b/base/ubi9-python-3.9/Pipfile deleted file mode 100644 index 5b19e0bf2..000000000 --- a/base/ubi9-python-3.9/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 = "3.9" diff --git a/base/ubi9-python-3.9/Pipfile.lock b/base/ubi9-python-3.9/Pipfile.lock deleted file mode 100644 index d54a92fd8..000000000 --- a/base/ubi9-python-3.9/Pipfile.lock +++ /dev/null @@ -1,39 +0,0 @@ -{ - "_meta": { - "hash": { - "sha256": "3a4aa84e453df0d1f998293b4d762e9e3ace440d32a12f7c638efa1ce97bd10a" - }, - "pipfile-spec": 6, - "requires": { - "python_version": "3.9" - }, - "sources": [ - { - "name": "pypi", - "url": "https://pypi.org/simple", - "verify_ssl": true - } - ] - }, - "default": { - "setuptools": { - "hashes": [ - "sha256:0ff4183f8f42cd8fa3acea16c45205521a4ef28f73c6391d8a25e92893134f2e", - "sha256:c21c49fb1042386df081cb5d86759792ab89efca84cf114889191cd09aacc80c" - ], - "index": "pypi", - "markers": "python_version >= '3.8'", - "version": "==69.2.0" - }, - "wheel": { - "hashes": [ - "sha256:465ef92c69fa5c5da2d1cf8ac40559a8c940886afcef87dcf14b9470862f1d85", - "sha256:55c570405f142630c6b9f72fe09d9b67cf1477fcf543ae5b8dcb1f5b7377da81" - ], - "index": "pypi", - "markers": "python_version >= '3.8'", - "version": "==0.43.0" - } - }, - "develop": {} -} diff --git a/ci/cached-builds/gen_gha_matrix_jobs.py b/ci/cached-builds/gen_gha_matrix_jobs.py index c111c6bd6..113e52d86 100644 --- a/ci/cached-builds/gen_gha_matrix_jobs.py +++ b/ci/cached-builds/gen_gha_matrix_jobs.py @@ -195,11 +195,11 @@ def test_select_changed_targets(self): tree = extract_target_dependencies(lines) leafs = compute_leafs_in_dependency_tree(tree) - changed_files = ["jupyter/datascience/ubi9-python-3.9/Dockerfile"] + changed_files = ["jupyter/datascience/ubi9-python-3.11/Dockerfile"] leafs = gha_pr_changed_files.filter_out_unchanged(leafs, changed_files) - assert set(leafs) == {'rocm-jupyter-pytorch-ubi9-python-3.9', - 'rocm-jupyter-tensorflow-ubi9-python-3.9', - 'cuda-jupyter-tensorflow-ubi9-python-3.9', - 'jupyter-trustyai-ubi9-python-3.9', - 'jupyter-pytorch-ubi9-python-3.9'} + assert set(leafs) == {'rocm-jupyter-pytorch-ubi9-python-3.11', + 'rocm-jupyter-tensorflow-ubi9-python-3.11', + 'cuda-jupyter-tensorflow-ubi9-python-3.11', + 'jupyter-trustyai-ubi9-python-3.11', + 'jupyter-pytorch-ubi9-python-3.11'} diff --git a/ci/cached-builds/gha_lvm_overlay.sh b/ci/cached-builds/gha_lvm_overlay.sh index 4d2f55520..d48151035 100755 --- a/ci/cached-builds/gha_lvm_overlay.sh +++ b/ci/cached-builds/gha_lvm_overlay.sh @@ -7,7 +7,8 @@ set -Eeuo pipefail # This script creates file-backed volumes on /dev/root and /dev/sda1, then creates ext4 over both, and mounts it for our use # https://github.com/easimon/maximize-build-space/blob/master/action.yml -root_reserve_mb=2048 +# root_reserve_mb=2048 was running out of disk space building cuda images +root_reserve_mb=4096 temp_reserve_mb=100 swap_size_mb=4096 diff --git a/ci/cached-builds/gha_pr_changed_files.py b/ci/cached-builds/gha_pr_changed_files.py index 17b754c03..959cd2963 100644 --- a/ci/cached-builds/gha_pr_changed_files.py +++ b/ci/cached-builds/gha_pr_changed_files.py @@ -1,11 +1,14 @@ +import json import logging import os import pathlib import re +import shutil import subprocess import unittest PROJECT_ROOT = pathlib.Path(__file__).parent.parent.parent.resolve() +MAKE = shutil.which("gmake") or shutil.which("make") def get_github_token() -> str: @@ -30,7 +33,7 @@ def analyze_build_directories(make_target) -> list[str]: pattern = re.compile(r"#\*# Image build directory: <(?P[^>]+)> #\(MACHINE-PARSED LINE\)#\*#\.\.\.") try: logging.debug(f"Running make in --just-print mode for target {make_target}") - for line in subprocess.check_output(["make", make_target, "--just-print"], encoding="utf-8", + for line in subprocess.check_output([MAKE, make_target, "--just-print"], encoding="utf-8", cwd=PROJECT_ROOT).splitlines(): if m := pattern.match(line): directories.append(m["dir"]) @@ -46,9 +49,22 @@ def should_build_target(changed_files: list[str], target_directories: list[str]) """Returns truthy if there is at least one changed file necessitating a build. Falsy (empty) string is returned otherwise.""" for directory in target_directories: + # detect change in the Dockerfile directory for changed_file in changed_files: if changed_file.startswith(directory): return changed_file + # detect change in any of the files outside + stdout = subprocess.check_output([PROJECT_ROOT / "bin/buildinputs", directory + "/Dockerfile"], + text=True, cwd=PROJECT_ROOT) + logging.debug(f"{directory=} {stdout=}") + if stdout == "\n": + # no dependencies + continue + dependencies: list[str] = json.loads(stdout) + for dependency in dependencies: + for changed_file in changed_files: + if changed_file.startswith(dependency): + return changed_file return "" @@ -72,7 +88,10 @@ def test_list_changed_files(self): 'codeserver/ubi9-python-3.9/run-code-server.sh'} def test_analyze_build_directories(self): - directories = analyze_build_directories("jupyter-intel-pytorch-ubi9-python-3.9") - assert set(directories) == {"base/ubi9-python-3.9", - "intel/base/gpu/ubi9-python-3.9", - "jupyter/intel/pytorch/ubi9-python-3.9"} + directories = analyze_build_directories("jupyter-intel-pytorch-ubi9-python-3.11") + assert set(directories) == {"base/ubi9-python-3.11", + "intel/base/gpu/ubi9-python-3.11", + "jupyter/intel/pytorch/ubi9-python-3.11"} + + def test_should_build_target(self): + assert "" == should_build_target(["README.md"], ["jupyter/datascience/ubi9-python-3.11"]) diff --git a/ci/cached-builds/make_test.py b/ci/cached-builds/make_test.py new file mode 100755 index 000000000..5546a642f --- /dev/null +++ b/ci/cached-builds/make_test.py @@ -0,0 +1,242 @@ +#!/usr/bin/env python3 +import argparse +import contextlib +import functools +import re +import subprocess +import sys +import time +import typing +import unittest +import unittest.mock + +"""Runs the make commands used to deploy, test, and undeploy image in Kubernetes + +The make commands this runs are intended to reproduce the commands we define in our OpenShift CI config at +https://github.com/openshift/release/blob/master/ci-operator/config/opendatahub-io/notebooks/opendatahub-io-notebooks-main.yaml#L1485 +""" + + +class Args(argparse.Namespace): + """Type annotation to have autocompletion for args""" + target: str + + +def main() -> None: + parser = argparse.ArgumentParser("make_test.py") + parser.add_argument("--target", type=str) + args = typing.cast(Args, parser.parse_args()) + + run_tests(args.target) + + +def run_tests(target: str) -> None: + prefix = target.translate(str.maketrans(".", "-")) + # this is a pod name in statefulset, some tests deploy individual unmanaged pods, though + pod = prefix + "-notebook-0" # `$(kubectl get statefulset -o name | head -n 1)` would work too + namespace = "ns-" + prefix + + if target.startswith("runtime-"): + deploy = "deploy9" + deploy_target = target.replace("runtime-", "runtimes-") + elif target.startswith("intel-runtime-"): + deploy = "deploy9" + deploy_target = target.replace("intel-runtime-", "intel-runtimes-") + elif target.startswith("rocm-runtime-"): + deploy = "deploy9" + deploy_target = target.replace("rocm-runtime-", "runtimes-rocm-") + elif target.startswith("rocm-jupyter-"): + deploy = "deploy9" + deploy_target = target.replace("rocm-jupyter-", "jupyter-rocm-") + elif target.startswith("cuda-rstudio-"): + deploy = "deploy" + os = re.match(r"^cuda-rstudio-([^-]+-).*", target) + deploy_target = os.group(1) + target.removeprefix("cuda-") + elif target.startswith("rstudio-"): + deploy = "deploy" + os = re.match(r"^rstudio-([^-]+-).*", target) + deploy_target = os.group(1) + target + else: + deploy = "deploy9" + deploy_target = target + + check_call(f"kubectl create namespace {namespace}", shell=True) + check_call(f"kubectl config set-context --current --namespace={namespace}", shell=True) + check_call(f"kubectl label namespace {namespace} fake-scc=fake-restricted-v2", shell=True) + + # wait for service account to be created, otherwise pod is refused to be created + # $ bin/kubectl apply -k runtimes/minimal/ubi9-python-3.9/kustomize/base + # configmap/runtime-req-config-9hhb2bhhmd created + # Error from server (Forbidden): error when creating "runtimes/minimal/ubi9-python-3.9/kustomize/base": pods "runtime-pod" is forbidden: error looking up service account ns-runtime-minimal-ubi9-python-3-9/default: serviceaccount "default" not found + # See https://github.com/kubernetes/kubernetes/issues/66689 + check_call(f"timeout 10s bash -c 'until kubectl get serviceaccount/default; do sleep 1; done'", shell=True) + + check_call(f"make {deploy}-{deploy_target}", shell=True) + wait_for_stability(pod) + + try: + if target.startswith("runtime-") or target.startswith("intel-runtime-"): + check_call(f"make validate-runtime-image image={target}", shell=True) + elif target.startswith("rocm-runtime-"): + check_call(f"make validate-runtime-image image={target + .replace("rocm-runtime-", "runtime-rocm-")}", shell=True) + elif target.startswith("rstudio-") or target.startswith("cuda-rstudio-"): + check_call(f"make validate-rstudio-image image={target}", shell=True) + elif target.startswith("codeserver-"): + check_call(f"make validate-codeserver-image image={target}", shell=True) + elif target.startswith("rocm-jupyter"): + check_call(f"make test-{target + .replace("rocm-jupyter-", "jupyter-rocm-")}", shell=True) + else: + check_call(f"make test-{target}", shell=True) + finally: + # dump a lot of info to the GHA logs + with gha_log_group("pod and statefulset info"): + call(f"kubectl get statefulsets", shell=True) + call(f"kubectl describe statefulsets", shell=True) + call(f"kubectl get pods", shell=True) + call(f"kubectl describe pods", shell=True) + # describe does not show everything about the pod + call(f"kubectl get pods -o yaml", shell=True) + + with gha_log_group("kubernetes namespace events"): + # events aren't all that useful, but it can tell what was happening in the current namespace + call(f"kubectl get events", shell=True) + + with gha_log_group("previous pod logs"): + # relevant if the pod is crashlooping, this shows the final lines + # use the negative label selector as a trick to match all pods (as we don't have any pods with nosuchlabel) + call(f"kubectl logs --selector=nosuchlabel!=nosuchvalue --all-pods --timestamps --previous", shell=True) + with gha_log_group("current pod logs"): + # regular logs from a running (or finished) pod + call(f"kubectl logs --selector=nosuchlabel!=nosuchvalue --all-pods --timestamps", shell=True) + + check_call(f"make un{deploy}-{deploy_target}", shell=True) + + print(f"[INFO] Finished testing {target}") + + +@functools.wraps(subprocess.check_call) +def check_call(*args, **kwargs) -> int: + return execute(subprocess.check_call, args, kwargs) + + +@functools.wraps(subprocess.call) +def call(*args, **kwargs) -> int: + return execute(subprocess.call, args, kwargs) + + +def execute(executor: typing.Callable, args: tuple, kwargs: dict) -> int: + print(f"[INFO] Running command {args, kwargs}") + sys.stdout.flush() + result = executor(*args, **kwargs) + print(f"\tDONE running command {args, kwargs}") + sys.stdout.flush() + return result + + +# TODO(jdanek) this is a dumb impl, needs to be improved +def wait_for_stability(pod: str) -> None: + """Waits for the pod to be stable. Often I'm seeing that the probes initially fail. + > error: Internal error occurred: error executing command in container: container is not created or running + > error: unable to upgrade connection: container not found ("notebook") + """ + timeout = 100 + for _ in range(3): + call( + f"timeout {timeout}s bash -c 'until kubectl wait --for=condition=Ready pods --all --timeout 5s; do sleep 1; done'", shell=True) + timeout = 50 + time.sleep(3) + + +# https://docs.github.com/en/actions/writing-workflows/choosing-what-your-workflow-does/workflow-commands-for-github-actions#grouping-log-lines +@contextlib.contextmanager +def gha_log_group(title): + """Prints the starting and ending magic strings for GitHub Actions line group in log.""" + print(f"::group::{title}", file=sys.stdout) + sys.stdout.flush() + try: + yield + finally: + print("::endgroup::", file=sys.stdout) + sys.stdout.flush() + + +# https://docs.python.org/3/library/unittest.mock-examples.html#patch-decorators +@unittest.mock.patch("time.sleep", unittest.mock.Mock()) +class TestMakeTest(unittest.TestCase): + @unittest.mock.patch("make_test.execute") + def test_make_commands_jupyter(self, mock_execute: unittest.mock.Mock) -> None: + """Compares the commands with what we had in the openshift/release yaml""" + run_tests("jupyter-minimal-ubi9-python-3.11") + commands: list[str] = [c[0][1][0] for c in mock_execute.call_args_list] + assert "make deploy9-jupyter-minimal-ubi9-python-3.11" in commands + assert "make test-jupyter-minimal-ubi9-python-3.11" in commands + assert "make undeploy9-jupyter-minimal-ubi9-python-3.11" in commands + + @unittest.mock.patch("make_test.execute") + def test_make_commands_jupyter_rocm(self, mock_execute: unittest.mock.Mock) -> None: + """Compares the commands with what we had in the openshift/release yaml""" + run_tests("rocm-jupyter-tensorflow-ubi9-python-3.11") + commands: list[str] = [c[0][1][0] for c in mock_execute.call_args_list] + assert "make deploy9-jupyter-rocm-tensorflow-ubi9-python-3.11" in commands + assert "make test-jupyter-rocm-tensorflow-ubi9-python-3.11" in commands + assert "make undeploy9-jupyter-rocm-tensorflow-ubi9-python-3.11" in commands + + @unittest.mock.patch("make_test.execute") + def test_make_commands_codeserver(self, mock_execute: unittest.mock.Mock) -> None: + """Compares the commands with what we had in the openshift/release yaml""" + run_tests("codeserver-ubi9-python-3.11") + commands: list[str] = [c[0][1][0] for c in mock_execute.call_args_list] + assert "make deploy9-codeserver-ubi9-python-3.11" in commands + assert "make validate-codeserver-image image=codeserver-ubi9-python-3.11" in commands + assert "make undeploy9-codeserver-ubi9-python-3.11" in commands + + @unittest.mock.patch("make_test.execute") + def test_make_commands_rstudio(self, mock_execute: unittest.mock.Mock) -> None: + """Compares the commands with what we had in the openshift/release yaml""" + run_tests("rstudio-c9s-python-3.11") + commands: list[str] = [c[0][1][0] for c in mock_execute.call_args_list] + assert "make deploy-c9s-rstudio-c9s-python-3.11" in commands + assert "make validate-rstudio-image image=rstudio-c9s-python-3.11" in commands + assert "make undeploy-c9s-rstudio-c9s-python-3.11" in commands + + @unittest.mock.patch("make_test.execute") + def test_make_commands_cuda_rstudio(self, mock_execute: unittest.mock.Mock) -> None: + """Compares the commands with what we had in the openshift/release yaml""" + run_tests("cuda-rstudio-c9s-python-3.11") + commands: list[str] = [c[0][1][0] for c in mock_execute.call_args_list] + assert "make deploy-c9s-rstudio-c9s-python-3.11" in commands + assert "make validate-rstudio-image image=cuda-rstudio-c9s-python-3.11" in commands + assert "make undeploy-c9s-rstudio-c9s-python-3.11" in commands + + @unittest.mock.patch("make_test.execute") + def test_make_commands_runtime(self, mock_execute: unittest.mock.Mock) -> None: + """Compares the commands with what we had in the openshift/release yaml""" + run_tests("runtime-datascience-ubi9-python-3.11") + commands: list[str] = [c[0][1][0] for c in mock_execute.call_args_list] + assert "make deploy9-runtimes-datascience-ubi9-python-3.11" in commands + assert "make validate-runtime-image image=runtime-datascience-ubi9-python-3.11" in commands + assert "make undeploy9-runtimes-datascience-ubi9-python-3.11" in commands + + @unittest.mock.patch("make_test.execute") + def test_make_commands_intel_runtime(self, mock_execute: unittest.mock.Mock) -> None: + """Compares the commands with what we had in the openshift/release yaml""" + run_tests("intel-runtime-ml-ubi9-python-3.11") + commands: list[str] = [c[0][1][0] for c in mock_execute.call_args_list] + assert "make deploy9-intel-runtimes-ml-ubi9-python-3.11" in commands + assert "make validate-runtime-image image=intel-runtime-ml-ubi9-python-3.11" in commands + assert "make undeploy9-intel-runtimes-ml-ubi9-python-3.11" in commands + + @unittest.mock.patch("make_test.execute") + def test_make_commands_rocm_runtime(self, mock_execute: unittest.mock.Mock) -> None: + """Compares the commands with what we had in the openshift/release yaml""" + run_tests("rocm-runtime-pytorch-ubi9-python-3.11") + commands: list[str] = [c[0][1][0] for c in mock_execute.call_args_list] + assert "make deploy9-runtimes-rocm-pytorch-ubi9-python-3.11" in commands + assert "make validate-runtime-image image=runtime-rocm-pytorch-ubi9-python-3.11" in commands + assert "make undeploy9-runtimes-rocm-pytorch-ubi9-python-3.11" in commands + + +if __name__ == "__main__": + main() diff --git a/codeserver/ubi9-python-3.11/Dockerfile b/codeserver/ubi9-python-3.11/Dockerfile index eab0338b3..59743e723 100644 --- a/codeserver/ubi9-python-3.11/Dockerfile +++ b/codeserver/ubi9-python-3.11/Dockerfile @@ -1,6 +1,7 @@ ARG BASE_IMAGE FROM ${BASE_IMAGE} +ARG SOURCE_CODE=codeserver/ubi9-python-3.11 ARG CODESERVER_VERSION=v4.92.2 LABEL name="odh-notebook-code-server-ubi9-python-3.11" \ @@ -18,7 +19,7 @@ USER 0 WORKDIR /opt/app-root/bin # Install usefull packages from Pipfile.lock -COPY Pipfile.lock ./ +COPY ${SOURCE_CODE}/Pipfile.lock ./ # Install packages and cleanup RUN echo "Installing softwares and packages" && \ @@ -39,7 +40,7 @@ RUN yum install -y "https://github.com/coder/code-server/releases/download/${COD RUN chmod -R g+w /opt/app-root/lib/python3.11/site-packages && \ fix-permissions /opt/app-root -P -COPY --chown=1001:0 utils utils/ +COPY --chown=1001:0 ${SOURCE_CODE}/utils utils/ # Create and intall the extensions though build-time on a temporary directory. Later this directory will copied on the `/opt/app-root/src/.local/share/code-server/extensions` via run-code-server.sh file when it starts up. RUN mkdir -p /opt/app-root/extensions-temp && \ @@ -64,10 +65,10 @@ RUN yum install -y https://download.fedoraproject.org/pub/epel/epel-release-late rpm -V $INSTALL_PKGS && \ yum -y clean all --enablerepo='*' -COPY --chown=1001:0 supervisord/supervisord.conf /etc/supervisor/conf.d/supervisord.conf +COPY --chown=1001:0 ${SOURCE_CODE}/supervisord/supervisord.conf /etc/supervisor/conf.d/supervisord.conf # Copy extra files to the image. -COPY nginx/root/ / +COPY ${SOURCE_CODE}/nginx/root/ / # Changing ownership and user rights to support following use-cases: # 1) running container on OpenShift, whose default security model @@ -104,12 +105,12 @@ RUN sed -i -f ${NGINX_APP_ROOT}/nginxconf.sed ${NGINX_CONF_PATH} && \ chown -R 1001:0 /opt/app-root/src/.config/code-server ## Configure nginx -COPY nginx/serverconf/ /opt/app-root/etc/nginx.default.d/ -COPY nginx/httpconf/ /opt/app-root/etc/nginx.d/ -COPY nginx/api/ /opt/app-root/api/ +COPY ${SOURCE_CODE}/nginx/serverconf/ /opt/app-root/etc/nginx.default.d/ +COPY ${SOURCE_CODE}/nginx/httpconf/ /opt/app-root/etc/nginx.d/ +COPY ${SOURCE_CODE}/nginx/api/ /opt/app-root/api/ # Launcher -COPY --chown=1001:0 run-code-server.sh run-nginx.sh ./ +COPY --chown=1001:0 ${SOURCE_CODE}/run-code-server.sh ${SOURCE_CODE}/run-nginx.sh ./ ENV SHELL /bin/bash diff --git a/codeserver/ubi9-python-3.11/Pipfile b/codeserver/ubi9-python-3.11/Pipfile old mode 100644 new mode 100755 index f540ee7e7..e02edf748 --- a/codeserver/ubi9-python-3.11/Pipfile +++ b/codeserver/ubi9-python-3.11/Pipfile @@ -13,7 +13,7 @@ verify_ssl = true [packages] # Base packages wheel = "~=0.43.0" -setuptools = "~=69.1.1" +setuptools = "~=70.0.0" # Datascience packages boto3 = "~=1.34.60" @@ -26,8 +26,9 @@ scikit-learn = "~=1.4.0" scipy = "~=1.12.0" skl2onnx = "~=1.16.0" ipykernel = "~=6.29.3" +kubeflow-training = {extras = ["huggingface"], version = "==1.8.1"} -# Some extra usefull packages +# Some extra useful packages opencensus = "~=0.11.4" smart-open = "~=7.0.1" virtualenv = "~=20.25.1" diff --git a/codeserver/ubi9-python-3.11/Pipfile.lock b/codeserver/ubi9-python-3.11/Pipfile.lock index 35c66fcc6..2c36ba13d 100644 --- a/codeserver/ubi9-python-3.11/Pipfile.lock +++ b/codeserver/ubi9-python-3.11/Pipfile.lock @@ -1,7 +1,7 @@ { "_meta": { "hash": { - "sha256": "7e579c9af5efa7a5beba77b16e3c5d6acbaa51ca7020cfe2dd1c81dc23564cb1" + "sha256": "294ef643507ae7c8d596bccbe0894c5b2c8b889b637d7b056065587385119d64" }, "pipfile-spec": 6, "requires": { @@ -21,12 +21,21 @@ ] }, "default": { + "accelerate": { + "hashes": [ + "sha256:03e161fc69d495daf2b9b5c8d5b43d06e2145520c04727b5bda56d49f1a43ab5", + "sha256:be1cbb958cf837e7cdfbde46b812964b1b8ae94c9c7d94d921540beafcee8ddf" + ], + "markers": "python_full_version >= '3.9.0'", + "version": "==1.2.1" + }, "asttokens": { "hashes": [ - "sha256:051ed49c3dcae8913ea7cd08e46a606dba30b79993209636c4875bc1d637bc24", - "sha256:b03869718ba9a6eb027e134bfdf69f38a236d681c83c160d510768af11254ba0" + "sha256:0dcd8baa8d62b0c1d118b399b2ddba3c4aff271d0d7a9e0d4c1681c79035bbc7", + "sha256:e3078351a059199dd5138cb1c706e6430c05eff2ff136af5eb4790f9d28932e2" ], - "version": "==2.4.1" + "markers": "python_version >= '3.8'", + "version": "==3.0.0" }, "boto3": { "hashes": [ @@ -55,122 +64,109 @@ }, "certifi": { "hashes": [ - "sha256:922820b53db7a7257ffbda3f597266d435245903d80737e34f8a45ff3e3230d8", - "sha256:bec941d2aa8195e248a60b31ff9f0558284cf01a52591ceda73ea9afffd69fd9" + "sha256:1275f7a45be9464efc1173084eaa30f866fe2e47d389406136d332ed4967ec56", + "sha256:b650d30f370c2b724812bee08008be0c4163b163ddaec3f2546c1caf65f191db" ], "markers": "python_version >= '3.6'", - "version": "==2024.8.30" + "version": "==2024.12.14" }, "charset-normalizer": { "hashes": [ - "sha256:0099d79bdfcf5c1f0c2c72f91516702ebf8b0b8ddd8905f97a8aecf49712c621", - "sha256:0713f3adb9d03d49d365b70b84775d0a0d18e4ab08d12bc46baa6132ba78aaf6", - "sha256:07afec21bbbbf8a5cc3651aa96b980afe2526e7f048fdfb7f1014d84acc8b6d8", - 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3.9 based on UBI 9" \ - description="code-server image with python 3.9 based on UBI9" \ - io.k8s.display-name="code-server image with python 3.9 based on UBI9" \ - io.k8s.description="code-server image with python 3.9 based on UBI9" \ - 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/codeserver/ubi9-python-3.9" \ - io.openshift.build.image="quay.io/opendatahub/workbench-images:codeserver-ubi9-python-3.9" - -USER 0 - -WORKDIR /opt/app-root/bin - -# Install usefull packages from Pipfile.lock -COPY Pipfile.lock ./ - -# Install packages and cleanup -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/python3.9/site-packages && \ - fix-permissions /opt/app-root -P - -# Install usefull OS packages -RUN dnf install -y jq git-lfs libsndfile && dnf clean all && rm -rf /var/cache/yum - -# Install code-server -RUN yum install -y "https://github.com/coder/code-server/releases/download/${CODESERVER_VERSION}/code-server-${CODESERVER_VERSION/v/}-amd64.rpm" && \ - yum -y clean all --enablerepo='*' - -# Change ownership of relevant directories -RUN chmod -R g+w /opt/app-root/lib/python3.9/site-packages && \ - fix-permissions /opt/app-root -P - -COPY --chown=1001:0 utils utils/ - -# Create and intall the extensions though build-time on a temporary directory. Later this directory will copied on the `/opt/app-root/src/.local/share/code-server/extensions` via run-code-server.sh file when it starts up. -RUN mkdir -p /opt/app-root/extensions-temp && \ - code-server --install-extension /opt/app-root/bin/utils/ms-python.python-2024.14.1.vsix --extensions-dir /opt/app-root/extensions-temp && \ - code-server --install-extension /opt/app-root/bin/utils/ms-toolsai.jupyter-2024.7.0.vsix --extensions-dir /opt/app-root/extensions-temp - -# Install NGINX to proxy code-server and pass probes check -ENV NGINX_VERSION=1.24 \ - NGINX_SHORT_VER=124 \ - NGINX_CONFIGURATION_PATH=${APP_ROOT}/etc/nginx.d \ - NGINX_CONF_PATH=/etc/nginx/nginx.conf \ - NGINX_DEFAULT_CONF_PATH=${APP_ROOT}/etc/nginx.default.d \ - NGINX_CONTAINER_SCRIPTS_PATH=/usr/share/container-scripts/nginx \ - NGINX_APP_ROOT=${APP_ROOT} \ - NGINX_LOG_PATH=/var/log/nginx \ - NGINX_PERL_MODULE_PATH=${APP_ROOT}/etc/perl - -# Modules does not exist -RUN yum install -y https://download.fedoraproject.org/pub/epel/epel-release-latest-9.noarch.rpm && \ - INSTALL_PKGS="bind-utils nginx nginx-mod-stream nginx-mod-http-perl fcgiwrap initscripts chkconfig supervisor" && \ - yum install -y --setopt=tsflags=nodocs $INSTALL_PKGS && \ - rpm -V $INSTALL_PKGS && \ - yum -y clean all --enablerepo='*' - -COPY --chown=1001:0 supervisord/supervisord.conf /etc/supervisor/conf.d/supervisord.conf - -# Copy extra files to the image. -COPY nginx/root/ / - -# Changing ownership and user rights to support following use-cases: -# 1) running container on OpenShift, whose default security model -# is to run the container under random UID, but GID=0 -# 2) for working root-less container with UID=1001, which does not have -# to have GID=0 -# 3) for default use-case, that is running container directly on operating system, -# with default UID and GID (1001:0) -# Supported combinations of UID:GID are thus following: -# UID=1001 && GID=0 -# UID=&& GID=0 -# UID=1001 && GID= -RUN sed -i -f ${NGINX_APP_ROOT}/nginxconf.sed ${NGINX_CONF_PATH} && \ - mkdir -p ${NGINX_APP_ROOT}/etc/nginx.d/ && \ - mkdir -p ${NGINX_APP_ROOT}/etc/nginx.default.d/ && \ - mkdir -p ${NGINX_APP_ROOT}/api/ && \ - mkdir -p ${NGINX_CONTAINER_SCRIPTS_PATH}/nginx-start && \ - mkdir -p ${NGINX_LOG_PATH} && \ - mkdir -p ${NGINX_PERL_MODULE_PATH} && \ - chown -R 1001:0 ${NGINX_CONF_PATH} && \ - chown -R 1001:0 ${NGINX_APP_ROOT}/etc && \ - chown -R 1001:0 ${NGINX_CONTAINER_SCRIPTS_PATH}/nginx-start && \ - chown -R 1001:0 /var/lib/nginx /var/log/nginx /run && \ - chmod ug+rw ${NGINX_CONF_PATH} && \ - chmod -R ug+rwX ${NGINX_APP_ROOT}/etc && \ - chmod -R ug+rwX ${NGINX_CONTAINER_SCRIPTS_PATH}/nginx-start && \ - chmod -R ug+rwX /var/lib/nginx /var/log/nginx /run && \ - rpm-file-permissions && \ - # Ensure the temporary directory and target directory have the correct permissions - mkdir -p /opt/app-root/src/.local/share/code-server/extensions && \ - mkdir -p /opt/app-root/src/.local/share/code-server/coder-logs && \ - chown -R 1001:0 /opt/app-root/src/.local/share/code-server && \ - chown -R 1001:0 /opt/app-root/extensions-temp && \ - chown -R 1001:0 /opt/app-root/src/.config/code-server - -## Configure nginx -COPY nginx/serverconf/ /opt/app-root/etc/nginx.default.d/ -COPY nginx/httpconf/ /opt/app-root/etc/nginx.d/ -COPY nginx/api/ /opt/app-root/api/ - -# Launcher -COPY --chown=1001:0 run-code-server.sh run-nginx.sh ./ - -ENV SHELL /bin/bash - -ENV PYTHONPATH=/opt/app-root/bin/python3 - -WORKDIR /opt/app-root/src - -USER 1001 - -CMD ["/opt/app-root/bin/run-code-server.sh"] diff --git a/codeserver/ubi9-python-3.9/Pipfile b/codeserver/ubi9-python-3.9/Pipfile deleted file mode 100644 index 04d4673be..000000000 --- a/codeserver/ubi9-python-3.9/Pipfile +++ /dev/null @@ -1,38 +0,0 @@ -[[source]] -name = "pypi" -url = "https://pypi.org/simple" -verify_ssl = true - -[[source]] -name = "pytorch" -url = "https://download.pytorch.org/whl/cu118" -verify_ssl = true - -[dev-packages] - -[packages] -# Base packages -wheel = "~=0.43.0" -setuptools = "~=69.1.1" - -# Datascience packages -boto3 = "~=1.34.60" -kafka-python = "~=2.0.2" -matplotlib = "~=3.8.3" -numpy = "~=1.26.4" -pandas = "~=2.2.1" -plotly = "~=5.19.0" -scikit-learn = "~=1.4.0" -scipy = "~=1.12.0" -skl2onnx = "~=1.16.0" -ipykernel = "~=6.29.3" - -# Some extra usefull packages -opencensus = "~=0.11.4" -smart-open = "~=7.0.1" -virtualenv = "~=20.25.1" -py-spy = "~=0.3.14" -prometheus-client = "~=0.20.0" - -[requires] -python_version = "3.9" diff --git a/codeserver/ubi9-python-3.9/Pipfile.lock b/codeserver/ubi9-python-3.9/Pipfile.lock deleted file mode 100644 index 087f551eb..000000000 --- a/codeserver/ubi9-python-3.9/Pipfile.lock +++ /dev/null @@ -1,1391 +0,0 @@ -{ - "_meta": { - "hash": { - "sha256": "033db19d0469f4be99fcad8a2a034810e8cc8f75c8a9df4942aa76038ae94857" - }, - "pipfile-spec": 6, - "requires": { - "python_version": "3.9" - }, - "sources": [ - { - "name": "pypi", - "url": "https://pypi.org/simple", - "verify_ssl": true - }, - { - "name": "pytorch", - "url": "https://download.pytorch.org/whl/cu118", - "verify_ssl": true - } - ] - }, - "default": { - "asttokens": { - "hashes": [ - "sha256:051ed49c3dcae8913ea7cd08e46a606dba30b79993209636c4875bc1d637bc24", - "sha256:b03869718ba9a6eb027e134bfdf69f38a236d681c83c160d510768af11254ba0" - 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"sha256:f2058f813d4f2b5e3a9eb2eb3faf8f1d99b81c3e51aeda4b168406443e8ba809", - "sha256:f6b2d0c6703c988d334f297aa5df18c45e97b0af3679bb75059e0e0bd8b1069d", - "sha256:f8212564d49c50eb4565e502814f694e240c55551a5f1bc841d4fcaabb0a9b8a", - "sha256:ffa565331890b90056c01db69c0fe634a776f8019c143a5ae265f9c6bc4bd6d4" - ], - "markers": "python_version >= '3.6'", - "version": "==1.16.0" - }, - "zipp": { - "hashes": [ - "sha256:0e923e726174922dce09c53c59ad483ff7bbb8e572e00c7f7c46b88556409f31", - "sha256:84e64a1c28cf7e91ed2078bb8cc8c259cb19b76942096c8d7b84947690cabaf0" - ], - "markers": "python_version < '3.10'", - "version": "==3.17.0" - } - }, - "develop": {} -} diff --git a/codeserver/ubi9-python-3.9/README.md b/codeserver/ubi9-python-3.9/README.md deleted file mode 100644 index ae2dad223..000000000 --- a/codeserver/ubi9-python-3.9/README.md +++ /dev/null @@ -1,20 +0,0 @@ -# codeserver-ubi9-python-3.11 - -To run the following image, you can use the following command: - -```bash -$ export QUAY_IO=quay.io/{myuser}/workbench-images -$ export WORKBENCH_RELEASE=2024b -$ make codeserver-ubi9-python-3.9 \ - -e IMAGE_REGISTRY=$QUAY_IO \ - -e RELEASE=$WORKBENCH_RELEASE \ - -e PUSH_IMAGES=no \ - -e CONTAINER_BUILD_CACHE_ARGS="" -``` - -To execute with Podman, do as follows: - -```bash -$ export LATEST_TAG=`podman images --format "{{.Repository}}:{{.Tag}}" | grep "$QUAY_IO:codeserver-ubi9-python-3.9-$WORKBENCH_RELEASE" | sort -r | head -n1 | cut -d':' -f2` -$ podman run -it -p 8787:8787 $QUAY_IO:$LATEST_TAG -``` diff --git a/codeserver/ubi9-python-3.9/kustomize/base/kustomization.yaml b/codeserver/ubi9-python-3.9/kustomize/base/kustomization.yaml deleted file mode 100644 index ac2cf5124..000000000 --- a/codeserver/ubi9-python-3.9/kustomize/base/kustomization.yaml +++ /dev/null @@ -1,10 +0,0 @@ ---- -apiVersion: kustomize.config.k8s.io/v1beta1 -kind: Kustomization -namePrefix: codeserver- -resources: - - pod.yaml -images: - - name: codeserver-workbench - newName: quay.io/opendatahub/workbench-images - newTag: codeserver-ubi9-python-3.9 diff --git a/codeserver/ubi9-python-3.9/kustomize/base/pod.yaml b/codeserver/ubi9-python-3.9/kustomize/base/pod.yaml deleted file mode 100644 index 4b7fbe0db..000000000 --- a/codeserver/ubi9-python-3.9/kustomize/base/pod.yaml +++ /dev/null @@ -1,22 +0,0 @@ ---- -apiVersion: v1 -kind: Pod -metadata: - name: pod - labels: - app: codeserver-image -spec: - containers: - - name: codeserver - image: codeserver-workbench - command: ["/bin/sh", "-c", "while true ; do date; sleep 5; done;"] - imagePullPolicy: Always - ports: - - containerPort: 8585 - resources: - limits: - cpu: 500m - memory: 500Mi - requests: - cpu: 500m - memory: 500Mi diff --git a/codeserver/ubi9-python-3.9/nginx/api/kernels/access.cgi b/codeserver/ubi9-python-3.9/nginx/api/kernels/access.cgi deleted file mode 100755 index 539f447e4..000000000 --- a/codeserver/ubi9-python-3.9/nginx/api/kernels/access.cgi +++ /dev/null @@ -1,14 +0,0 @@ -#!/bin/bash -echo "Status: 200" -echo "Content-type: application/json" -echo -# Query the heartbeat endpoint -HEALTHZ=$(curl -s http://127.0.0.1:8888/codeserver/healthz) -# Extract last_activity | remove milliseconds -LAST_ACTIVITY_EPOCH=$(echo $HEALTHZ | grep -Po 'lastHeartbeat":\K.*?(?=})' | awk '{ print substr( $0, 1, length($0)-3 ) }') -# Convert to ISO8601 date format -LAST_ACTIVITY=$(date -d @$LAST_ACTIVITY_EPOCH -Iseconds) -# Extract status and replace with terms expected by culler -STATUS=$(sed 's/alive/busy/;s/expired/idle/' <<< $(echo $HEALTHZ | grep -Po 'status":"\K.*?(?=")')) -# Export in format expected by the culling engine -echo '[{"id":"code-server","name":"code-server","last_activity":"'$LAST_ACTIVITY'","execution_state":"'$STATUS'","connections":1}]' diff --git a/codeserver/ubi9-python-3.9/nginx/httpconf/http.conf b/codeserver/ubi9-python-3.9/nginx/httpconf/http.conf deleted file mode 100644 index 82bdbbfba..000000000 --- a/codeserver/ubi9-python-3.9/nginx/httpconf/http.conf +++ /dev/null @@ -1,39 +0,0 @@ -# Make WebSockets working -map $http_upgrade $connection_upgrade { - default upgrade; - '' close; - } - -### -# Custom logging for direct last_activity based culling, brace yourself! -### - -# Exclude heartbeat from logging for culling purposes -map $request $loggable { - ~\/codeserver\/healthz 0; - default 1; -} - -# iso8601 with millisecond precision transformer (mimicking Jupyter output) -map $time_iso8601 $time_iso8601_p1 { - ~([^+]+) $1; -} -map $time_iso8601 $time_iso8601_p2 { - ~\+([0-9:]+)$ $1; -} -map $msec $millisec { - ~\.([0-9]+)$ $1; -} - -log_format json escape=json '[{' - '"id":"code-server",' - '"name":"code-server",' - '"last_activity":"$time_iso8601_p1.$millisec+$time_iso8601_p2",' - '"execution_state":"busy",' - '"connections": 1' - '}]'; - -map $http_x_forwarded_proto $custom_scheme { - default $scheme; - https https; -} diff --git a/codeserver/ubi9-python-3.9/nginx/root/opt/app-root/etc/generate_container_user b/codeserver/ubi9-python-3.9/nginx/root/opt/app-root/etc/generate_container_user deleted file mode 100644 index 229b986af..000000000 --- a/codeserver/ubi9-python-3.9/nginx/root/opt/app-root/etc/generate_container_user +++ /dev/null @@ -1,9 +0,0 @@ -# Set current user in nss_wrapper -PASSWD_DIR="/opt/app-root/etc" - -export USER_ID=$(id -u) -export GROUP_ID=$(id -g) -envsubst < ${PASSWD_DIR}/passwd.template > ${PASSWD_DIR}/passwd -export LD_PRELOAD=libnss_wrapper.so -export NSS_WRAPPER_PASSWD=${PASSWD_DIR}/passwd -export NSS_WRAPPER_GROUP=/etc/group diff --git a/codeserver/ubi9-python-3.9/nginx/root/opt/app-root/etc/passwd.template b/codeserver/ubi9-python-3.9/nginx/root/opt/app-root/etc/passwd.template deleted file mode 100644 index 7ad0b7871..000000000 --- a/codeserver/ubi9-python-3.9/nginx/root/opt/app-root/etc/passwd.template +++ /dev/null @@ -1,15 +0,0 @@ -root:x:0:0:root:/root:/bin/bash -bin:x:1:1:bin:/bin:/sbin/nologin -daemon:x:2:2:daemon:/sbin:/sbin/nologin -adm:x:3:4:adm:/var/adm:/sbin/nologin -lp:x:4:7:lp:/var/spool/lpd:/sbin/nologin -sync:x:5:0:sync:/sbin:/bin/sync -shutdown:x:6:0:shutdown:/sbin:/sbin/shutdown -halt:x:7:0:halt:/sbin:/sbin/halt -mail:x:8:12:mail:/var/spool/mail:/sbin/nologin -operator:x:11:0:operator:/root:/sbin/nologin -games:x:12:100:games:/usr/games:/sbin/nologin -ftp:x:14:50:FTP User:/var/ftp:/sbin/nologin -nobody:x:99:99:Nobody:/:/sbin/nologin -default:x:${USER_ID}:${GROUP_ID}:Default Application User:${HOME}:/sbin/nologin -apache:x:48:48:Apache:/usr/share/httpd:/sbin/nologin diff --git a/codeserver/ubi9-python-3.9/nginx/root/opt/app-root/etc/scl_enable b/codeserver/ubi9-python-3.9/nginx/root/opt/app-root/etc/scl_enable deleted file mode 100644 index aa110a0bd..000000000 --- a/codeserver/ubi9-python-3.9/nginx/root/opt/app-root/etc/scl_enable +++ /dev/null @@ -1,3 +0,0 @@ -# This will make scl collection binaries work out of box. -unset BASH_ENV PROMPT_COMMAND ENV -source scl_source enable rh-nginx$NGINX_SHORT_VER diff --git a/codeserver/ubi9-python-3.9/nginx/root/opt/app-root/nginxconf.sed b/codeserver/ubi9-python-3.9/nginx/root/opt/app-root/nginxconf.sed deleted file mode 100644 index 67ffa0a52..000000000 --- a/codeserver/ubi9-python-3.9/nginx/root/opt/app-root/nginxconf.sed +++ /dev/null @@ -1,21 +0,0 @@ -# Change port -/listen/s%80%8888 default_server% - -# Remove listening on IPv6 -/\[::\]/d - -# One worker only -/worker_processes/s%auto%1% - -s/^user *nginx;// -s%/etc/nginx/conf.d/%/opt/app-root/etc/nginx.d/% -s%/etc/nginx/default.d/%/opt/app-root/etc/nginx.default.d/% -s%/usr/share/nginx/html%/opt/app-root/src% - -# See: https://github.com/sclorg/nginx-container/pull/69 -/error_page/d -/40x.html/,+1d -/50x.html/,+1d - -# Addition for RStudio Server -/server_name/s%server_name _%server_name ${BASE_URL}% diff --git a/codeserver/ubi9-python-3.9/nginx/root/usr/share/container-scripts/nginx/common.sh b/codeserver/ubi9-python-3.9/nginx/root/usr/share/container-scripts/nginx/common.sh deleted file mode 100755 index 319219cd2..000000000 --- a/codeserver/ubi9-python-3.9/nginx/root/usr/share/container-scripts/nginx/common.sh +++ /dev/null @@ -1,31 +0,0 @@ -#!/bin/sh - -# get_matched_files finds file for image extending -function get_matched_files() { - local custom_dir default_dir - custom_dir="$1" - default_dir="$2" - files_matched="$3" - find "$default_dir" -maxdepth 1 -type f -name "$files_matched" -printf "%f\n" - [ -d "$custom_dir" ] && find "$custom_dir" -maxdepth 1 -type f -name "$files_matched" -printf "%f\n" -} - -# process_extending_files process extending files in $1 and $2 directories -# - source all *.sh files -# (if there are files with same name source only file from $1) -function process_extending_files() { - local custom_dir default_dir - custom_dir=$1 - default_dir=$2 - while read filename ; do - if [ $filename ]; then - echo "=> sourcing $filename ..." - # Custom file is prefered - if [ -f $custom_dir/$filename ]; then - source $custom_dir/$filename - elif [ -f $default_dir/$filename ]; then - source $default_dir/$filename - fi - fi - done <<<"$(get_matched_files "$custom_dir" "$default_dir" '*.sh' | sort -u)" -} \ No newline at end of file diff --git a/codeserver/ubi9-python-3.9/nginx/serverconf/proxy.conf.template b/codeserver/ubi9-python-3.9/nginx/serverconf/proxy.conf.template deleted file mode 100644 index a593e2af5..000000000 --- a/codeserver/ubi9-python-3.9/nginx/serverconf/proxy.conf.template +++ /dev/null @@ -1,64 +0,0 @@ -############### -# api calls from probes get to code-server /healthz endpoint -############### -location = /api { - return 302 /codeserver/healthz/; - access_log off; -} - -location /api/ { - return 302 /codeserver/healthz/; - access_log off; -} -############### - -############### -# api calls from culler get to CGI processing -############### -location = /api/kernels { - return 302 $custom_scheme://$http_host/api/kernels/; - access_log off; -} - -location /api/kernels/ { - index access.cgi; - fastcgi_index access.cgi; - gzip off; - access_log off; - root /opt/app-root; - fastcgi_pass unix:/var/run/fcgiwrap.socket; - include /etc/nginx/fastcgi_params; - fastcgi_param SCRIPT_FILENAME /opt/app-root$fastcgi_script_name; -} -############### - -############### -# root and prefix get to code-server endpoint -############### -location = / { - return 302 $custom_scheme://$http_host/codeserver/; -} - -location = /codeserver { - return 302 $custom_scheme://$http_host/codeserver/; -} - -location /codeserver/ { - # Standard code-server/NGINX configuration - proxy_pass http://127.0.0.1:8787/; - proxy_http_version 1.1; - proxy_set_header Upgrade $http_upgrade; - proxy_set_header Connection $connection_upgrade; - proxy_read_timeout 20d; - - # Needed to make it work properly - proxy_set_header X-Real-IP $remote_addr; - proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for; - proxy_set_header X-Forwarded-Proto $custom_scheme; - proxy_set_header Host $http_host; - proxy_set_header X-NginX-Proxy true; - proxy_redirect off; - - access_log /var/log/nginx/codeserver.access.log json if=$loggable; -} -############### diff --git a/codeserver/ubi9-python-3.9/nginx/serverconf/proxy.conf.template_nbprefix b/codeserver/ubi9-python-3.9/nginx/serverconf/proxy.conf.template_nbprefix deleted file mode 100644 index 687c3ed72..000000000 --- a/codeserver/ubi9-python-3.9/nginx/serverconf/proxy.conf.template_nbprefix +++ /dev/null @@ -1,71 +0,0 @@ -############### -# api calls from probes get to code-server /healthz endpoint -############### -location = ${NB_PREFIX}/api { - return 302 /codeserver/healthz/; - access_log off; -} - -location ${NB_PREFIX}/api/ { - return 302 /codeserver/healthz/; - access_log off; -} -############### - -############### -# api calls from culler get to CGI processing -############### -location = ${NB_PREFIX}/api/kernels { - return 302 $custom_scheme://$http_host/api/kernels/; - access_log off; -} - -location ${NB_PREFIX}/api/kernels/ { - return 302 $custom_scheme://$http_host/api/kernels/; - access_log off; -} - -location /api/kernels/ { - index access.cgi; - fastcgi_index access.cgi; - gzip off; - access_log off; - root /opt/app-root; - fastcgi_pass unix:/var/run/fcgiwrap.socket; - include /etc/nginx/fastcgi_params; - fastcgi_param SCRIPT_FILENAME /opt/app-root$fastcgi_script_name; -} -############### - -############### -# root and prefix get to code-server endpoint -############### -location = ${NB_PREFIX} { - return 302 $custom_scheme://$http_host/codeserver/; -} - -location ${NB_PREFIX}/ { - return 302 $custom_scheme://$http_host/codeserver/; -} - -location = /codeserver { - return 302 $custom_scheme://$http_host/codeserver/; -} - -location = / { - return 302 $custom_scheme://$http_host/codeserver/; -} - -location /codeserver/ { - rewrite ^/codeserver/(.*)$ /$1 break; - # Standard RStudio/NGINX configuration - proxy_pass http://127.0.0.1:8787; - proxy_http_version 1.1; - proxy_set_header Upgrade $http_upgrade; - proxy_set_header Connection $connection_upgrade; - proxy_read_timeout 20d; - proxy_set_header X-Forwarded-Proto $custom_scheme; - - access_log /var/log/nginx/codeserver.access.log json if=$loggable; -} -############### diff --git a/codeserver/ubi9-python-3.9/run-code-server.sh b/codeserver/ubi9-python-3.9/run-code-server.sh deleted file mode 100755 index 5e4652c02..000000000 --- a/codeserver/ubi9-python-3.9/run-code-server.sh +++ /dev/null @@ -1,119 +0,0 @@ -#!/usr/bin/env bash - -# Load bash libraries -SCRIPT_DIR=$(dirname -- "$0") -source ${SCRIPT_DIR}/utils/*.sh - -# Start nginx and supervisord -run-nginx.sh & -/usr/bin/supervisord -c /etc/supervisor/conf.d/supervisord.conf & - -# Add .bashrc for custom prompt if not present -if [ ! -f "/opt/app-root/src/.bashrc" ]; then - echo 'PS1="\[\033[34;1m\][\$(pwd)]\[\033[0m\]\n\[\033[1;0m\]$ \[\033[0m\]"' > /opt/app-root/src/.bashrc -fi - -# Initialize access logs for culling -echo '[{"id":"code-server","name":"code-server","last_activity":"'$(date -Iseconds)'","execution_state":"running","connections":1}]' > /var/log/nginx/codeserver.access.log - -# Function to create directories and files if they do not exist -create_dir_and_file() { - local dir=$1 - local filepath=$2 - local content=$3 - - if [ ! -d "$dir" ]; then - echo "Debug: Directory not found, creating '$dir'..." - mkdir -p "$dir" - echo "$content" > "$filepath" - echo "Debug: '$filepath' file created." - else - echo "Debug: Directory already exists." - if [ ! -f "$filepath" ]; then - echo "Debug: '$filepath' file not found, creating..." - echo "$content" > "$filepath" - echo "Debug: '$filepath' file created." - else - echo "Debug: '$filepath' file already exists." - fi - fi -} - -# Define universal settings -universal_dir="/opt/app-root/src/.local/share/code-server/User/" -user_settings_filepath="${universal_dir}settings.json" -universal_json_settings='// vscode settings are written in json-with-comments -/* https://code.visualstudio.com/docs/languages/json#_json-with-comments */ -{ - "python.defaultInterpreterPath": "/opt/app-root/bin/python3", - "telemetry.telemetryLevel": "off", - "telemetry.enableTelemetry": false, - "workbench.enableExperiments": false, - "extensions.autoCheckUpdates": false, - "extensions.autoUpdate": false, - - // RHOAIENG-14518: Disable the "Do you trust the authors [...]" startup prompt - "security.workspace.trust.enabled": false, - "security.workspace.trust.startupPrompt": "never" -}' - -# Define python debugger settings -vscode_dir="/opt/app-root/src/.vscode/" -settings_filepath="${vscode_dir}settings.json" -launch_filepath="${vscode_dir}launch.json" -json_launch_settings='{ - "version": "0.2.0", - "configurations": [ - { - "name": "Python Debugger: Current File", - "type": "debugpy", - "request": "launch", - "program": "${file}", - "console": "integratedTerminal", - "python": "/opt/app-root/bin/python3" - } - ] -}' -json_settings='{ - "python.defaultInterpreterPath": "/opt/app-root/bin/python3" -}' - -# Create necessary directories and files for python debugger and universal settings -create_dir_and_file "$universal_dir" "$user_settings_filepath" "$universal_json_settings" -create_dir_and_file "$vscode_dir" "$settings_filepath" "$json_settings" -create_dir_and_file "$vscode_dir" "$launch_filepath" "$json_launch_settings" - -# Ensure the extensions directory exists -extensions_dir="/opt/app-root/src/.local/share/code-server/extensions" -mkdir -p "$extensions_dir" - -# Copy installed extensions to the runtime extensions directory if they do not already exist -if [ -d "/opt/app-root/extensions-temp" ]; then - for extension in /opt/app-root/extensions-temp/*/; - do - extension_folder=$(basename "$extension") - if [ ! -d "$extensions_dir/$extension_folder" ]; then - cp -r "$extension" "$extensions_dir" - echo "Debug: Extension '$extension_folder' copied to runtime directory." - else - echo "Debug: Extension '$extension_folder' already exists in runtime directory, skipping." - fi - done -else - echo "Debug: Temporary extensions directory not found." -fi - -# Ensure log directory exists -logs_dir="/opt/app-root/src/.local/share/code-server/coder-logs" -if [ ! -d "$logs_dir" ]; then - echo "Debug: Log directory not found, creating '$logs_dir'..." - mkdir -p "$logs_dir" -fi - -# Start server -start_process /usr/bin/code-server \ - --bind-addr 0.0.0.0:8787 \ - --disable-telemetry \ - --auth none \ - --disable-update-check \ - /opt/app-root/src diff --git a/codeserver/ubi9-python-3.9/run-nginx.sh b/codeserver/ubi9-python-3.9/run-nginx.sh deleted file mode 100755 index 5d0135fa8..000000000 --- a/codeserver/ubi9-python-3.9/run-nginx.sh +++ /dev/null @@ -1,26 +0,0 @@ -#!/bin/bash - -source /opt/app-root/etc/generate_container_user - -set -e - -source ${NGINX_CONTAINER_SCRIPTS_PATH}/common.sh - -# disabled, only used to source nginx files in user directory -#process_extending_files ${NGINX_APP_ROOT}/src/nginx-start ${NGINX_CONTAINER_SCRIPTS_PATH}/nginx-start - -if [ ! -v NGINX_LOG_TO_VOLUME -a -v NGINX_LOG_PATH ]; then - /bin/ln -sf /dev/stdout ${NGINX_LOG_PATH}/access.log - /bin/ln -sf /dev/stderr ${NGINX_LOG_PATH}/error.log -fi - -# substitute NB_PREFIX in proxy configuratin if it exists -if [ -z "$NB_PREFIX" ]; then - cp /opt/app-root/etc/nginx.default.d/proxy.conf.template /opt/app-root/etc/nginx.default.d/proxy.conf -else - export BASE_URL=$(echo $NB_PREFIX | awk -F/ '{ print $4"-"$3 }')$(echo $NOTEBOOK_ARGS | grep -Po 'hub_host":"\K.*?(?=")' | awk -F/ '{ print $3 }' | awk -F. '{for (i=2; i<=NF; i++) printf ".%s", $i}') - envsubst '${NB_PREFIX},${BASE_URL}' < /opt/app-root/etc/nginx.default.d/proxy.conf.template_nbprefix > /opt/app-root/etc/nginx.default.d/proxy.conf - envsubst '${BASE_URL}' < /etc/nginx/nginx.conf | tee /etc/nginx/nginx.conf -fi - -nginx \ No newline at end of file diff --git a/codeserver/ubi9-python-3.9/supervisord/supervisord.conf b/codeserver/ubi9-python-3.9/supervisord/supervisord.conf deleted file mode 100644 index b9927e6f8..000000000 --- a/codeserver/ubi9-python-3.9/supervisord/supervisord.conf +++ /dev/null @@ -1,10 +0,0 @@ -[supervisord] -nodaemon=true -logfile=/tmp/supervisord.log -pidfile=/tmp/supervisord.pid - -[program:fcgiwrap] -command=/usr/sbin/fcgiwrap -s unix:/var/run/fcgiwrap.socket -autostart=true -autorestart=true -redirect_stderr=true diff --git a/codeserver/ubi9-python-3.9/utils/ms-python.debugpy-2024.8.0@linux-x64.vsix b/codeserver/ubi9-python-3.9/utils/ms-python.debugpy-2024.8.0@linux-x64.vsix deleted file mode 100644 index a301eb628..000000000 Binary files a/codeserver/ubi9-python-3.9/utils/ms-python.debugpy-2024.8.0@linux-x64.vsix and /dev/null differ diff --git a/codeserver/ubi9-python-3.9/utils/ms-python.python-2024.14.1.vsix b/codeserver/ubi9-python-3.9/utils/ms-python.python-2024.14.1.vsix deleted file mode 100644 index 242a00078..000000000 Binary files a/codeserver/ubi9-python-3.9/utils/ms-python.python-2024.14.1.vsix and /dev/null differ diff --git a/codeserver/ubi9-python-3.9/utils/ms-toolsai.jupyter-2024.7.0.vsix b/codeserver/ubi9-python-3.9/utils/ms-toolsai.jupyter-2024.7.0.vsix deleted file mode 100644 index e39b45bd7..000000000 Binary files a/codeserver/ubi9-python-3.9/utils/ms-toolsai.jupyter-2024.7.0.vsix and /dev/null differ diff --git a/codeserver/ubi9-python-3.9/utils/ms-toolsai.jupyter-keymap-1.1.2.vsix b/codeserver/ubi9-python-3.9/utils/ms-toolsai.jupyter-keymap-1.1.2.vsix deleted file mode 100644 index b60dafecf..000000000 Binary files a/codeserver/ubi9-python-3.9/utils/ms-toolsai.jupyter-keymap-1.1.2.vsix and /dev/null differ diff --git a/codeserver/ubi9-python-3.9/utils/ms-toolsai.jupyter-renderers-1.0.19.vsix b/codeserver/ubi9-python-3.9/utils/ms-toolsai.jupyter-renderers-1.0.19.vsix deleted file mode 100644 index 7215245be..000000000 Binary files a/codeserver/ubi9-python-3.9/utils/ms-toolsai.jupyter-renderers-1.0.19.vsix and /dev/null differ diff --git a/codeserver/ubi9-python-3.9/utils/ms-toolsai.vscode-jupyter-cell-tags-0.1.9.vsix b/codeserver/ubi9-python-3.9/utils/ms-toolsai.vscode-jupyter-cell-tags-0.1.9.vsix deleted file mode 100644 index 7d1b12e70..000000000 Binary files a/codeserver/ubi9-python-3.9/utils/ms-toolsai.vscode-jupyter-cell-tags-0.1.9.vsix and /dev/null differ diff --git a/codeserver/ubi9-python-3.9/utils/ms-toolsai.vscode-jupyter-slideshow-0.1.6.vsix b/codeserver/ubi9-python-3.9/utils/ms-toolsai.vscode-jupyter-slideshow-0.1.6.vsix deleted file mode 100644 index cedca9e89..000000000 Binary files a/codeserver/ubi9-python-3.9/utils/ms-toolsai.vscode-jupyter-slideshow-0.1.6.vsix and /dev/null differ diff --git a/codeserver/ubi9-python-3.9/utils/process.sh b/codeserver/ubi9-python-3.9/utils/process.sh deleted file mode 100755 index 6b69254b7..000000000 --- a/codeserver/ubi9-python-3.9/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 -} \ No newline at end of file diff --git a/cuda/c9s-python-3.11/Dockerfile b/cuda/c9s-python-3.11/Dockerfile index affb1e632..78e816207 100644 --- a/cuda/c9s-python-3.11/Dockerfile +++ b/cuda/c9s-python-3.11/Dockerfile @@ -1,6 +1,8 @@ ARG BASE_IMAGE FROM ${BASE_IMAGE} +ARG SOURCE_CODE=cuda/c9s-python-3.11 + LABEL name="odh-notebook-cuda-c9s-python-3.11" \ summary="CUDA Python 3.11 base image for ODH notebooks" \ description="CUDA Python 3.11 builder image based on CentOS Stream 9 for ODH notebooks" \ @@ -20,7 +22,7 @@ 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 +COPY ${SOURCE_CODE}/cuda.repo-x86_64 /etc/yum.repos.d/cuda.repo RUN NVIDIA_GPGKEY_SUM=d0664fbbdb8c32356d45de36c5984617217b2d0bef41b93ccecd326ba3b80c87 && \ curl -fsSL https://developer.download.nvidia.com/compute/cuda/repos/rhel9/${NVARCH}/D42D0685.pub | sed '/^Version/d' > /etc/pki/rpm-gpg/RPM-GPG-KEY-NVIDIA && \ @@ -42,7 +44,7 @@ RUN echo "/usr/local/nvidia/lib" >> /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 / +COPY ${SOURCE_CODE}/NGC-DL-CONTAINER-LICENSE / # nvidia-container-runtime ENV NVIDIA_VISIBLE_DEVICES all diff --git a/cuda/c9s-python-3.9/Dockerfile b/cuda/c9s-python-3.9/Dockerfile deleted file mode 100644 index 9b713ef75..000000000 --- a/cuda/c9s-python-3.9/Dockerfile +++ /dev/null @@ -1,134 +0,0 @@ -ARG BASE_IMAGE -FROM ${BASE_IMAGE} - -LABEL name="odh-notebook-cuda-c9s-python-3.9" \ - summary="CUDA Python 3.9 base image for ODH notebooks" \ - description="CUDA Python 3.9 builder image based on CentOS Stream 9 for ODH notebooks" \ - io.k8s.display-name="CUDA Python 3.9 base image for ODH notebooks" \ - io.k8s.description="CUDA Python 3.9 builder image based on C9S for ODH notebooks" \ - authoritative-source-url="https://github.com/opendatahub-io/notebooks" \ - io.openshift.build.commit.ref="main" \ - io.openshift.build.source-location="https://github.com/opendatahub-io/notebooks/tree/main/cuda/c9s-python-3.9" \ - io.openshift.build.image="quay.io/opendatahub/workbench-images:cuda-c9s-python-3.9" - -# Install CUDA base from: -# https://gitlab.com/nvidia/container-images/cuda/-/blob/master/dist/12.1.1/ubi9/base/Dockerfile -USER 0 -WORKDIR /opt/app-root/bin - -ENV NVARCH x86_64 -ENV NVIDIA_REQUIRE_CUDA "cuda>=12.1 brand=tesla,driver>=470,driver<471 brand=unknown,driver>=470,driver<471 brand=nvidia,driver>=470,driver<471 brand=nvidiartx,driver>=470,driver<471 brand=geforce,driver>=470,driver<471 brand=geforcertx,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=titan,driver>=470,driver<471 brand=titanrtx,driver>=470,driver<471 brand=tesla,driver>=525,driver<526 brand=unknown,driver>=525,driver<526 brand=nvidia,driver>=525,driver<526 brand=nvidiartx,driver>=525,driver<526 brand=geforce,driver>=525,driver<526 brand=geforcertx,driver>=525,driver<526 brand=quadro,driver>=525,driver<526 brand=quadrortx,driver>=525,driver<526 brand=titan,driver>=525,driver<526 brand=titanrtx,driver>=525,driver<526" -ENV NV_CUDA_CUDART_VERSION 12.1.105-1 - -COPY cuda.repo-x86_64 /etc/yum.repos.d/cuda.repo - -RUN NVIDIA_GPGKEY_SUM=d0664fbbdb8c32356d45de36c5984617217b2d0bef41b93ccecd326ba3b80c87 && \ - curl -fsSL https://developer.download.nvidia.com/compute/cuda/repos/rhel9/${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:${PATH} -ENV LD_LIBRARY_PATH /usr/local/nvidia/lib:/usr/local/nvidia/lib64 - -COPY NGC-DL-CONTAINER-LICENSE / - -# nvidia-container-runtime -ENV NVIDIA_VISIBLE_DEVICES all -ENV NVIDIA_DRIVER_CAPABILITIES compute,utility - -# Install CUDA runtime from: -# https://gitlab.com/nvidia/container-images/cuda/-/blob/master/dist/12.1.1/ubi9/runtime/Dockerfile -ENV NV_CUDA_LIB_VERSION 12.1.1-1 -ENV NV_NVTX_VERSION 12.1.105-1 -ENV NV_LIBNPP_VERSION 12.1.0.40-1 -ENV NV_LIBNPP_PACKAGE libnpp-12-1-${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} \ - ${NV_LIBNCCL_PACKAGE} \ - && yum clean all \ - && rm -rf /var/cache/yum/* - -# Set this flag so that libraries can find the location of CUDA -ENV XLA_FLAGS=--xla_gpu_cuda_data_dir=/usr/local/cuda - -# Install CUDA devel from: -# https://gitlab.com/nvidia/container-images/cuda/-/blob/master/dist/12.1.1/ubi9/devel/Dockerfile -ENV NV_CUDA_LIB_VERSION 12.1.1-1 -ENV NV_NVPROF_VERSION 12.1.105-1 -ENV NV_NVPROF_DEV_PACKAGE cuda-nvprof-12-1-${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} \ - ${NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE} \ - && yum clean all \ - && rm -rf /var/cache/yum/* - -ENV LIBRARY_PATH /usr/local/cuda/lib64/stubs - -# Install CUDA devel cudnn8 from: -# https://gitlab.com/nvidia/container-images/cuda/-/blob/master/dist/12.1.1/ubi9/devel/cudnn8/Dockerfile -ENV NV_CUDNN_VERSION 8.9.0.131-1 -ENV NV_CUDNN_PACKAGE libcudnn8-${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/* - -# Install CUDA toolkit 12.1 -RUN yum -y install cuda-toolkit-12-1 && \ - yum -y clean all --enablerepo="*" - -# Set this flag so that libraries can find the location of CUDA -ENV XLA_FLAGS=--xla_gpu_cuda_data_dir=/usr/local/cuda - -# Restore notebook user workspace -USER 1001 -WORKDIR /opt/app-root/src diff --git a/cuda/c9s-python-3.9/NGC-DL-CONTAINER-LICENSE b/cuda/c9s-python-3.9/NGC-DL-CONTAINER-LICENSE deleted file mode 100644 index be9eb7558..000000000 --- a/cuda/c9s-python-3.9/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. 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December 4, 2020) diff --git a/cuda/c9s-python-3.9/cuda.repo-arm64 b/cuda/c9s-python-3.9/cuda.repo-arm64 deleted file mode 100644 index 2e5e95da1..000000000 --- a/cuda/c9s-python-3.9/cuda.repo-arm64 +++ /dev/null @@ -1,6 +0,0 @@ -[cuda] -name=cuda -baseurl=https://developer.download.nvidia.com/compute/cuda/repos/rhel9/sbsa -enabled=1 -gpgcheck=1 -gpgkey=file:///etc/pki/rpm-gpg/RPM-GPG-KEY-NVIDIA diff --git a/cuda/c9s-python-3.9/cuda.repo-x86_64 b/cuda/c9s-python-3.9/cuda.repo-x86_64 deleted file mode 100644 index f7fb7a4f8..000000000 --- a/cuda/c9s-python-3.9/cuda.repo-x86_64 +++ /dev/null @@ -1,6 +0,0 @@ -[cuda] -name=cuda -baseurl=https://developer.download.nvidia.com/compute/cuda/repos/rhel9/x86_64 -enabled=1 -gpgcheck=1 -gpgkey=file:///etc/pki/rpm-gpg/RPM-GPG-KEY-NVIDIA diff --git a/cuda/ubi9-python-3.11/Dockerfile b/cuda/ubi9-python-3.11/Dockerfile index ead364de9..c64ab0ea4 100644 --- a/cuda/ubi9-python-3.11/Dockerfile +++ b/cuda/ubi9-python-3.11/Dockerfile @@ -1,6 +1,8 @@ ARG BASE_IMAGE FROM ${BASE_IMAGE} +ARG SOURCE_CODE=cuda/ubi9-python-3.11 + LABEL name="odh-notebook-cuda-ubi9-python-3.11" \ summary="CUDA Python 3.11 base image for ODH notebooks" \ description="CUDA Python 3.11 builder image based on UBI9 for ODH notebooks" \ @@ -20,7 +22,7 @@ ENV NVARCH x86_64 ENV NVIDIA_REQUIRE_CUDA "cuda>=12.4 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 brand=tesla,driver>=535,driver<536 brand=unknown,driver>=535,driver<536 brand=nvidia,driver>=535,driver<536 brand=nvidiartx,driver>=535,driver<536 brand=geforce,driver>=535,driver<536 brand=geforcertx,driver>=535,driver<536 brand=quadro,driver>=535,driver<536 brand=quadrortx,driver>=535,driver<536 brand=titan,driver>=535,driver<536 brand=titanrtx,driver>=535,driver<536" ENV NV_CUDA_CUDART_VERSION 12.4.127-1 -COPY cuda.repo-x86_64 /etc/yum.repos.d/cuda.repo +COPY ${SOURCE_CODE}/cuda.repo-x86_64 /etc/yum.repos.d/cuda.repo RUN NVIDIA_GPGKEY_SUM=d0664fbbdb8c32356d45de36c5984617217b2d0bef41b93ccecd326ba3b80c87 && \ curl -fsSL https://developer.download.nvidia.com/compute/cuda/repos/rhel9/${NVARCH}/D42D0685.pub | sed '/^Version/d' > /etc/pki/rpm-gpg/RPM-GPG-KEY-NVIDIA && \ @@ -42,7 +44,7 @@ RUN echo "/usr/local/nvidia/lib" >> /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 / +COPY ${SOURCE_CODE}/NGC-DL-CONTAINER-LICENSE / # nvidia-container-runtime ENV NVIDIA_VISIBLE_DEVICES all diff --git a/cuda/ubi9-python-3.9/Dockerfile b/cuda/ubi9-python-3.9/Dockerfile deleted file mode 100644 index 85cdf230d..000000000 --- a/cuda/ubi9-python-3.9/Dockerfile +++ /dev/null @@ -1,127 +0,0 @@ -ARG BASE_IMAGE -FROM ${BASE_IMAGE} - -LABEL name="odh-notebook-cuda-ubi9-python-3.9" \ - summary="CUDA Python 3.9 base image for ODH notebooks" \ - description="CUDA Python 3.9 builder image based on UBI8 for ODH notebooks" \ - io.k8s.display-name="CUDA Python 3.9 base image for ODH notebooks" \ - io.k8s.description="CUDA Python 3.9 builder image based on UBI8 for ODH notebooks" \ - authoritative-source-url="https://github.com/opendatahub-io/notebooks" \ - io.openshift.build.commit.ref="main" \ - io.openshift.build.source-location="https://github.com/opendatahub-io/notebooks/tree/main/cuda/ubi9-python-3.9" \ - io.openshift.build.image="quay.io/opendatahub/workbench-images:cuda-ubi9-python-3.9" - -# Install CUDA base from: -# https://gitlab.com/nvidia/container-images/cuda/-/blob/master/dist/12.1.1/ubi9/base/Dockerfile -USER 0 -WORKDIR /opt/app-root/bin - -ENV NVARCH x86_64 -ENV NVIDIA_REQUIRE_CUDA "cuda>=12.1 brand=tesla,driver>=470,driver<471 brand=unknown,driver>=470,driver<471 brand=nvidia,driver>=470,driver<471 brand=nvidiartx,driver>=470,driver<471 brand=geforce,driver>=470,driver<471 brand=geforcertx,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=titan,driver>=470,driver<471 brand=titanrtx,driver>=470,driver<471 brand=tesla,driver>=525,driver<526 brand=unknown,driver>=525,driver<526 brand=nvidia,driver>=525,driver<526 brand=nvidiartx,driver>=525,driver<526 brand=geforce,driver>=525,driver<526 brand=geforcertx,driver>=525,driver<526 brand=quadro,driver>=525,driver<526 brand=quadrortx,driver>=525,driver<526 brand=titan,driver>=525,driver<526 brand=titanrtx,driver>=525,driver<526" -ENV NV_CUDA_CUDART_VERSION 12.1.105-1 - -COPY cuda.repo-x86_64 /etc/yum.repos.d/cuda.repo - -RUN NVIDIA_GPGKEY_SUM=d0664fbbdb8c32356d45de36c5984617217b2d0bef41b93ccecd326ba3b80c87 && \ - curl -fsSL https://developer.download.nvidia.com/compute/cuda/repos/rhel9/${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:${PATH} -ENV LD_LIBRARY_PATH /usr/local/nvidia/lib:/usr/local/nvidia/lib64 - -COPY NGC-DL-CONTAINER-LICENSE / - -# nvidia-container-runtime -ENV NVIDIA_VISIBLE_DEVICES all -ENV NVIDIA_DRIVER_CAPABILITIES compute,utility - -# Install CUDA runtime from: -# https://gitlab.com/nvidia/container-images/cuda/-/blob/master/dist/12.1.1/ubi9/runtime/Dockerfile -ENV NV_CUDA_LIB_VERSION 12.1.1-1 -ENV NV_NVTX_VERSION 12.1.105-1 -ENV NV_LIBNPP_VERSION 12.1.0.40-1 -ENV NV_LIBNPP_PACKAGE libnpp-12-1-${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} \ - ${NV_LIBNCCL_PACKAGE} \ - && yum clean all \ - && rm -rf /var/cache/yum/* - -# Set this flag so that libraries can find the location of CUDA -ENV XLA_FLAGS=--xla_gpu_cuda_data_dir=/usr/local/cuda - -# Install CUDA devel from: -# https://gitlab.com/nvidia/container-images/cuda/-/blob/master/dist/12.1.1/ubi9/devel/Dockerfile -ENV NV_CUDA_LIB_VERSION 12.1.1-1 -ENV NV_NVPROF_VERSION 12.1.105-1 -ENV NV_NVPROF_DEV_PACKAGE cuda-nvprof-12-1-${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} \ - ${NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE} \ - && yum clean all \ - && rm -rf /var/cache/yum/* - -ENV LIBRARY_PATH /usr/local/cuda/lib64/stubs - -# Install CUDA devel cudnn8 from: -# https://gitlab.com/nvidia/container-images/cuda/-/blob/master/dist/12.1.1/ubi9/devel/cudnn8/Dockerfile -ENV NV_CUDNN_VERSION 8.9.0.131-1 -ENV NV_CUDNN_PACKAGE libcudnn8-${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/ubi9-python-3.9/NGC-DL-CONTAINER-LICENSE b/cuda/ubi9-python-3.9/NGC-DL-CONTAINER-LICENSE deleted file mode 100644 index be9eb7558..000000000 --- a/cuda/ubi9-python-3.9/NGC-DL-CONTAINER-LICENSE +++ /dev/null @@ -1,230 +0,0 @@ -NVIDIA DEEP LEARNING CONTAINER LICENSE - 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December 4, 2020) diff --git a/cuda/ubi9-python-3.9/cuda.repo-arm64 b/cuda/ubi9-python-3.9/cuda.repo-arm64 deleted file mode 100644 index 2e5e95da1..000000000 --- a/cuda/ubi9-python-3.9/cuda.repo-arm64 +++ /dev/null @@ -1,6 +0,0 @@ -[cuda] -name=cuda -baseurl=https://developer.download.nvidia.com/compute/cuda/repos/rhel9/sbsa -enabled=1 -gpgcheck=1 -gpgkey=file:///etc/pki/rpm-gpg/RPM-GPG-KEY-NVIDIA diff --git a/cuda/ubi9-python-3.9/cuda.repo-x86_64 b/cuda/ubi9-python-3.9/cuda.repo-x86_64 deleted file mode 100644 index f7fb7a4f8..000000000 --- a/cuda/ubi9-python-3.9/cuda.repo-x86_64 +++ /dev/null @@ -1,6 +0,0 @@ -[cuda] -name=cuda -baseurl=https://developer.download.nvidia.com/compute/cuda/repos/rhel9/x86_64 -enabled=1 -gpgcheck=1 -gpgkey=file:///etc/pki/rpm-gpg/RPM-GPG-KEY-NVIDIA diff --git a/docs/developer-guide.md b/docs/developer-guide.md index cac2516fb..070b15387 100644 --- a/docs/developer-guide.md +++ b/docs/developer-guide.md @@ -79,7 +79,7 @@ metadata: opendatahub.io/notebook-image-name: "Example Jupyter Notebook" opendatahub.io/notebook-image-desc: "Exemplary Jupyter notebook image just for demonstrative purposes" opendatahub.io/notebook-image-order: "1" - opendatahub.io/recommended-accelerators: '["nvidia.com/gpu", "habana.com/gen1"]' + opendatahub.io/recommended-accelerators: '["nvidia.com/gpu", "amd.com/gpu"]' name: example-jupyter-notebook spec: lookupPolicy: diff --git a/docs/workbench-imagestreams.md b/docs/workbench-imagestreams.md index 627c027ad..9b7d3bb5c 100644 --- a/docs/workbench-imagestreams.md +++ b/docs/workbench-imagestreams.md @@ -63,7 +63,7 @@ metadata: opendatahub.io/notebook-image-name: "Example Jupyter Notebook" opendatahub.io/notebook-image-desc: "Exemplary Jupyter notebook image just for demonstrative purposes" opendatahub.io/notebook-image-order: "1" - opendatahub.io/recommended-accelerators: '["nvidia.com/gpu", "habana.com/gen1"]' + opendatahub.io/recommended-accelerators: '["nvidia.com/gpu", "amd.com/gpu"]' name: example-jupyter-notebook spec: lookupPolicy: diff --git a/docs/workbenches.md b/docs/workbenches.md index 55ef5feb6..4d9559a00 100644 --- a/docs/workbenches.md +++ b/docs/workbenches.md @@ -7,7 +7,6 @@ Open Data Hub contains the following workbench images with different variations: | -------------------------- | ------- | ------------ | ------ | ------- | -------- | | Jupyter Minimal | ☑ | ☑ | UBI8/9 | ☒ | ☒ | | CUDA | ☑ | ☑ | UBI8/9 | ☑ | ☒ | -| HabanaAI | ☑ | ☒ | UBI8/9 | ☑ | ☒ | | Jupyter Data Science | ☑ | ☑ | UBI8/9 | ☒ | ☑ | | Jupyter Tensorflow | ☑ | ☑ | UBI8/9 | ☑ | ☑ | | Jupyter PyTorch | ☑ | ☑ | UBI8/9 | ☑ | ☑ | diff --git a/intel/base/gpu/ubi9-python-3.11/Dockerfile b/intel/base/gpu/ubi9-python-3.11/Dockerfile index eb1197efe..4630bf7d1 100644 --- a/intel/base/gpu/ubi9-python-3.11/Dockerfile +++ b/intel/base/gpu/ubi9-python-3.11/Dockerfile @@ -1,6 +1,8 @@ ARG BASE_IMAGE FROM ${BASE_IMAGE} +ARG SOURCE_CODE=intel/base/gpu/ubi9-python-3.11 + LABEL name="odh-notebook-intel-base-gpu-ubi9-python-3.11" \ summary="Intel® XPU base image for ODH notebooks based on ubi9" \ description="Base Intel® XPU base image builder image based on ubi9 for ODH notebooks" \ diff --git a/intel/base/gpu/ubi9-python-3.9/Dockerfile b/intel/base/gpu/ubi9-python-3.9/Dockerfile deleted file mode 100644 index a162bf3a5..000000000 --- a/intel/base/gpu/ubi9-python-3.9/Dockerfile +++ /dev/null @@ -1,43 +0,0 @@ -ARG BASE_IMAGE -FROM ${BASE_IMAGE} - -LABEL name="odh-notebook-intel-base-gpu-ubi9-python-3.9" \ - summary="Intel® XPU base image for ODH notebooks based on ubi9" \ - description="Base Intel® XPU base image builder image based on ubi9 for ODH notebooks" \ - io.k8s.display-name="Base Intel® XPU base image for ODH notebooks based on ubi9" \ - io.k8s.description="Base Intel® XPU base image builder image based on ubi9 for ODH notebooks" \ - authoritative-source-url="https://github.com/opendatahub-io/notebooks" \ - io.openshift.build.commit.ref="main" \ - io.openshift.build.source-location="https://github.com/opendatahub-io/notebooks/tree/main/intel/base/gpu/ubi9-python-3.9" \ - io.openshift.build.image="quay.io/opendatahub/workbench-images:intel-base-gpu-ubi9-python-3.9" - -USER 0 -WORKDIR /opt/app-root/src - -RUN . /etc/os-release && \ - #TODO: Remove explicit declaration of VERSION_ID once available on version 9.4 - VERSION_ID=9.3 && \ - dnf install -y 'dnf-command(config-manager)' && \ - dnf config-manager --add-repo \ - https://repositories.intel.com/gpu/rhel/${VERSION_ID}/lts/2350/unified/intel-gpu-${VERSION_ID}.repo && \ - dnf install -y \ - intel-opencl \ - level-zero intel-level-zero-gpu level-zero-devel \ - intel-metrics-discovery \ - intel-metrics-library && \ - dnf clean all -y && \ - rm -rf /var/cache/dnf/* - -RUN dnf update -y && \ - rpm -ivh https://mirror.stream.centos.org/9-stream/BaseOS/x86_64/os/Packages/numactl-libs-2.0.16-3.el9.x86_64.rpm && \ - rpm -ivh https://mirror.stream.centos.org/9-stream/BaseOS/x86_64/os/Packages/numactl-2.0.16-3.el9.x86_64.rpm && \ - dnf install -y \ - git \ - rsync \ - unzip \ - wget && \ - dnf clean all && \ - rm -rf /var/cache/dnf/* - - -USER 1001 diff --git a/intel/runtimes/ml/ubi9-python-3.11/Dockerfile b/intel/runtimes/ml/ubi9-python-3.11/Dockerfile index c51c1f9d8..2ffd661a3 100644 --- a/intel/runtimes/ml/ubi9-python-3.11/Dockerfile +++ b/intel/runtimes/ml/ubi9-python-3.11/Dockerfile @@ -1,6 +1,8 @@ ARG BASE_IMAGE FROM ${BASE_IMAGE} +ARG SOURCE_CODE=intel/runtimes/ml/ubi9-python-3.11 + LABEL name="odh-notebook-intel-runtime-ml-ubi9-python-3.11" \ summary="Runtime Intel® optimized ML notebook image for ODH notebooks" \ description="Runtime Intel® optimized ML notebook image with base Python 3.11 builder image based on UBI9 for ODH notebooks" \ @@ -14,12 +16,12 @@ LABEL name="odh-notebook-intel-runtime-ml-ubi9-python-3.11" \ WORKDIR /opt/app-root/bin # Install Python packages from Pipfile.lock -COPY Pipfile.lock Pipfile.lock +COPY ${SOURCE_CODE}/Pipfile.lock Pipfile.lock # Copy Elyra dependencies for air-gapped enviroment -COPY utils utils +COPY ${SOURCE_CODE}/utils utils -COPY --chown=1001:0 .patch_sklearn.py /opt/app-root/bin/.patch_sklearn.py +COPY --chown=1001:0 ${SOURCE_CODE}/.patch_sklearn.py /opt/app-root/bin/.patch_sklearn.py ENV PYTHONSTARTUP="/opt/app-root/bin/.patch_sklearn.py" #Virtualenv creates a symlink of lib to lib64. That causes issues with importing ITEX since both locations will have ITEX library and it will conflict. diff --git a/intel/runtimes/ml/ubi9-python-3.11/Pipfile.lock b/intel/runtimes/ml/ubi9-python-3.11/Pipfile.lock index c5cbd3c45..0d361a742 100644 --- a/intel/runtimes/ml/ubi9-python-3.11/Pipfile.lock +++ b/intel/runtimes/ml/ubi9-python-3.11/Pipfile.lock @@ -18,92 +18,93 @@ "default": { "aiohappyeyeballs": { "hashes": [ - "sha256:75cf88a15106a5002a8eb1dab212525c00d1f4c0fa96e551c9fbe6f09a621586", - "sha256:8a7a83727b2756f394ab2895ea0765a0a8c475e3c71e98d43d76f22b4b435572" + "sha256:5fdd7d87889c63183afc18ce9271f9b0a7d32c2303e394468dd45d514a757745", + "sha256:a980909d50efcd44795c4afeca523296716d50cd756ddca6af8c65b996e27de8" ], "markers": "python_version >= '3.8'", - "version": "==2.4.3" + "version": "==2.4.4" }, "aiohttp": { "hashes": [ - "sha256:018f1b04883a12e77e7fc161934c0f298865d3a484aea536a6a2ca8d909f0ba0", - "sha256:01a8aca4af3da85cea5c90141d23f4b0eee3cbecfd33b029a45a80f28c66c668", 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deleted file mode 100644 index fb9c647e0..000000000 --- a/intel/runtimes/ml/ubi9-python-3.9/.patch_sklearn.py +++ /dev/null @@ -1,4 +0,0 @@ -from sklearnex import patch_sklearn -from sklearnex import unpatch_sklearn -patch_sklearn() -print("To disable Intel(R) Extension for Scikit-learn*, you can run: unpatch_sklearn()") diff --git a/intel/runtimes/ml/ubi9-python-3.9/Dockerfile b/intel/runtimes/ml/ubi9-python-3.9/Dockerfile deleted file mode 100644 index 432501bc4..000000000 --- a/intel/runtimes/ml/ubi9-python-3.9/Dockerfile +++ /dev/null @@ -1,33 +0,0 @@ -ARG BASE_IMAGE -FROM ${BASE_IMAGE} - -LABEL name="odh-notebook-intel-runtime-ml-ubi9-python-3.9" \ - summary="Runtime Intel® optimized ML notebook image for ODH notebooks" \ - description="Runtime Intel® optimized ML notebook image with base Python 3.9 builder image based on UBI9 for ODH notebooks" \ - io.k8s.display-name="Runtime Intel® optimized ML notebook image for ODH notebooks" \ - io.k8s.description="Runtime Intel® optimized ML notebook image with base Python 3.9 builder image based on UBI9 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/intel/runtimes/ml/ubi9-python-3.9" \ - io.openshift.build.image="quay.io/opendatahub/workbench-images:intel-runtime-ml-ubi9-python-3.9" - -WORKDIR /opt/app-root/bin - -# Install Python packages from Pipfile.lock -COPY Pipfile.lock Pipfile.lock - -# Copy Elyra dependencies for air-gapped enviroment -COPY utils utils - -COPY --chown=1001:0 .patch_sklearn.py /opt/app-root/bin/.patch_sklearn.py -ENV PYTHONSTARTUP="/opt/app-root/bin/.patch_sklearn.py" - -#Virtualenv creates a symlink of lib to lib64. That causes issues with importing ITEX since both locations will have ITEX library and it will conflict. -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/python3.9/site-packages && \ - fix-permissions /opt/app-root -P - -WORKDIR /opt/app-root/src diff --git a/intel/runtimes/ml/ubi9-python-3.9/Pipfile b/intel/runtimes/ml/ubi9-python-3.9/Pipfile deleted file mode 100644 index 1a81e93fd..000000000 --- a/intel/runtimes/ml/ubi9-python-3.9/Pipfile +++ /dev/null @@ -1,50 +0,0 @@ -[[source]] -url = "https://pypi.org/simple" -verify_ssl = true -name = "pypi" - -[packages] -# Classical-ML -daal4py = {version="*"} -"modin[ray]" = {version="==0.24.1"} -scikit-learn-intelex = {version="==2024.0.1"} -threadpoolctl = {version="*"} -xgboost = {version="==1.7.3"} -# Datascience and useful extensions -cloud-data-connector = {version="*"} -kafka-python = "~=2.0.2" -matplotlib = "~=3.6.3" -numpy = "~=1.24.3" -pandas = "~=2.1.4" -plotly = "~=5.16.1" -scipy = "~=1.11.2" -scikit-learn = "~=1.3.1" -skl2onnx = "~=1.15.0" -codeflare-sdk = "~=0.19.1" -# DB connectors -pymongo = "~=4.5.0" -psycopg = "~=3.1.10" -pyodbc = "~=4.0.39" -mysql-connector-python = "~=8.0.33" -# 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 = "==6.5.1" -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" - -[requires] -python_version = "3.9" diff --git a/intel/runtimes/ml/ubi9-python-3.9/Pipfile.lock b/intel/runtimes/ml/ubi9-python-3.9/Pipfile.lock deleted file mode 100644 index 0df4a73ef..000000000 --- a/intel/runtimes/ml/ubi9-python-3.9/Pipfile.lock +++ /dev/null @@ -1,3562 +0,0 @@ -{ - "_meta": { - "hash": { - "sha256": "e7c8a14700659e72de69ada020014bcdf31efb61904a497ef084e8969846836b" - }, - "pipfile-spec": 6, - "requires": { - "python_version": "3.9" - }, - "sources": [ - { - "name": "pypi", - "url": "https://pypi.org/simple", - "verify_ssl": true - } - ] - }, - "default": { - "adal": { - "hashes": [ - "sha256:2a7451ed7441ddbc57703042204a3e30ef747478eea022c70f789fc7f084bc3d", - "sha256:d74f45b81317454d96e982fd1c50e6fb5c99ac2223728aea8764433a39f566f1" - ], - "version": "==1.2.7" - }, - "aiohappyeyeballs": { - "hashes": [ - "sha256:15dca2611fa78442f1cb54cf07ffb998573f2b4fbeab45ca8554c045665c896b", - "sha256:88211068d2a40e0436033956d7de3926ff36d54776f8b1022d6b21320cadae79" - ], - "markers": "python_version >= '3.8'", - 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"develop": {} -} diff --git a/intel/runtimes/ml/ubi9-python-3.9/kustomize/base/kustomization.yaml b/intel/runtimes/ml/ubi9-python-3.9/kustomize/base/kustomization.yaml deleted file mode 100644 index 10d1e3492..000000000 --- a/intel/runtimes/ml/ubi9-python-3.9/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: intel-runtime-ml-ubi9-python-3.9 -configMapGenerator: - - name: req-config - files: - - requirements-elyra.txt diff --git a/intel/runtimes/ml/ubi9-python-3.9/kustomize/base/pod.yaml b/intel/runtimes/ml/ubi9-python-3.9/kustomize/base/pod.yaml deleted file mode 100644 index bc5343566..000000000 --- a/intel/runtimes/ml/ubi9-python-3.9/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/intel/runtimes/ml/ubi9-python-3.9/kustomize/base/requirements-elyra.txt b/intel/runtimes/ml/ubi9-python-3.9/kustomize/base/requirements-elyra.txt deleted file mode 100644 index 1097e6141..000000000 --- a/intel/runtimes/ml/ubi9-python-3.9/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==6.5.1 -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 diff --git a/intel/runtimes/ml/ubi9-python-3.9/utils/bootstrapper.py b/intel/runtimes/ml/ubi9-python-3.9/utils/bootstrapper.py deleted file mode 100644 index 723e9b975..000000000 --- a/intel/runtimes/ml/ubi9-python-3.9/utils/bootstrapper.py +++ /dev/null @@ -1,746 +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}' to '{python_script_output}'" - ) - t0 = time.time() - - run_args = ["python3", python_script] - if self.parameter_pass_method == "env": - self.set_parameters_in_env() - - with open(python_script_output, "w") as log_file: - subprocess.run(run_args, stdout=log_file, stderr=subprocess.STDOUT, check=True) - - 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}' to '{r_script_output}'") - t0 = time.time() - - run_args = ["Rscript", r_script] - if self.parameter_pass_method == "env": - self.set_parameters_in_env() - - with open(r_script_output, "w") as log_file: - subprocess.run(run_args, stdout=log_file, stderr=subprocess.STDOUT, check=True) - - 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/intel/runtimes/ml/ubi9-python-3.9/utils/pip.conf b/intel/runtimes/ml/ubi9-python-3.9/utils/pip.conf deleted file mode 100644 index 69a2baf4c..000000000 --- a/intel/runtimes/ml/ubi9-python-3.9/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/intel/runtimes/ml/ubi9-python-3.9/utils/requirements-elyra.txt b/intel/runtimes/ml/ubi9-python-3.9/utils/requirements-elyra.txt deleted file mode 100644 index d93355fe8..000000000 --- a/intel/runtimes/ml/ubi9-python-3.9/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==6.5.1 -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/intel/runtimes/pytorch/ubi9-python-3.11/Dockerfile b/intel/runtimes/pytorch/ubi9-python-3.11/Dockerfile index 4c21b7de1..31f94a90e 100644 --- a/intel/runtimes/pytorch/ubi9-python-3.11/Dockerfile +++ b/intel/runtimes/pytorch/ubi9-python-3.11/Dockerfile @@ -1,6 +1,8 @@ ARG BASE_IMAGE FROM ${BASE_IMAGE} +ARG SOURCE_CODE=intel/runtimes/pytorch/ubi9-python-3.11 + LABEL name="odh-notebook-intel-runtime-pytorch-ubi9-python-3.11" \ summary="Runtime Intel® optimized pytorch notebook image for ODH notebooks" \ description="Runtime Intel® optimized pytorch notebook image with base Python 3.11 builder image based on UBI9 for ODH notebooks" \ @@ -14,7 +16,7 @@ LABEL name="odh-notebook-intel-runtime-pytorch-ubi9-python-3.11" \ USER root ARG ONEAPI_VERSION=2024.0 -COPY oneAPI.repo /etc/yum.repos.d/oneAPI.repo +COPY ${SOURCE_CODE}/oneAPI.repo /etc/yum.repos.d/oneAPI.repo RUN dnf update -y && \ dnf install -y intel-oneapi-compiler-dpcpp-cpp-runtime-${ONEAPI_VERSION} \ @@ -29,10 +31,10 @@ USER 1001 WORKDIR /opt/app-root/bin # Install Python packages from Pipfile.lock -COPY Pipfile.lock.gpu Pipfile.lock +COPY ${SOURCE_CODE}/Pipfile.lock.gpu Pipfile.lock # Copy Elyra dependencies for air-gapped enviroment -COPY utils utils +COPY ${SOURCE_CODE}/utils utils RUN echo "Installing softwares and packages" && \ micropipenv install && \ @@ -44,7 +46,7 @@ RUN echo "Installing softwares and packages" && \ ENV CPU_ENV=/opt/app-root-cpu ENV GPU_ENV=/opt/app-root -COPY --chown=1001:0 Pipfile.lock.cpu ${CPU_ENV}/Pipfile.lock +COPY --chown=1001:0 ${SOURCE_CODE}/Pipfile.lock.cpu ${CPU_ENV}/Pipfile.lock #CPU env WORKDIR ${CPU_ENV} diff --git a/intel/runtimes/pytorch/ubi9-python-3.9/Dockerfile b/intel/runtimes/pytorch/ubi9-python-3.9/Dockerfile deleted file mode 100644 index 222879f98..000000000 --- a/intel/runtimes/pytorch/ubi9-python-3.9/Dockerfile +++ /dev/null @@ -1,62 +0,0 @@ -ARG BASE_IMAGE -FROM ${BASE_IMAGE} - -LABEL name="odh-notebook-intel-runtime-pytorch-ubi9-python-3.9" \ - summary="Runtime Intel® optimized pytorch notebook image for ODH notebooks" \ - description="Runtime Intel® optimized pytorch notebook image with base Python 3.9 builder image based on UBI9 for ODH notebooks" \ - io.k8s.display-name="Runtime Intel® optimized pytorch notebook image for ODH notebooks" \ - io.k8s.description="Runtime Intel® optimized pytorch notebook image with base Python 3.9 builder image based on UBI9 for ODH notebooks" \ - authoritative-source-url="https://github.com/opendatahub-io/notebooks" \ - io.openshift.build.commit.ref="main" \ - io.openshift.build.source-location="https://github.com/opendatahub-io/notebooks/tree/main/intel/runtimes/pytorch/ubi9-python-3.9" \ - io.openshift.build.image="quay.io/opendatahub/workbench-images:intel-runtime-pytorch-ubi9-python-3.9" - -USER root - -ARG ONEAPI_VERSION=2024.0 -COPY oneAPI.repo /etc/yum.repos.d/oneAPI.repo - -RUN dnf update -y && \ - dnf install -y intel-oneapi-compiler-dpcpp-cpp-runtime-${ONEAPI_VERSION} \ - intel-oneapi-mkl-${ONEAPI_VERSION} \ - intel-oneapi-dnnl-${ONEAPI_VERSION} && \ - dnf clean all -y && \ - rm -rf /var/cache/dnf/* && \ - rm /etc/yum.repos.d/oneAPI.repo - -USER 1001 - -WORKDIR /opt/app-root/bin - -# Install Python packages from Pipfile.lock -COPY Pipfile.lock.gpu 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/python3.9/site-packages && \ - fix-permissions /opt/app-root -P - -ENV CPU_ENV=/opt/app-root-cpu -ENV GPU_ENV=/opt/app-root - -COPY --chown=1001:0 Pipfile.lock.cpu ${CPU_ENV}/Pipfile.lock - -#CPU env -WORKDIR ${CPU_ENV} -RUN python3.9 -m venv ${CPU_ENV} && \ - chown -R 1001:0 ${CPU_ENV} && \ - fix-permissions ${CPU_ENV} -P && \ - source ${CPU_ENV}/bin/activate && \ - pip install --no-cache-dir -U "micropipenv[toml]" && \ - micropipenv install && \ - rm -f ./Pipfile.lock && \ - # Fix permissions to support pip in Openshift environments \ - chmod -R g+w /opt/app-root/lib/python3.9/site-packages && \ - fix-permissions /opt/app-root -P - -WORKDIR /opt/app-root/src diff --git a/intel/runtimes/pytorch/ubi9-python-3.9/Pipfile.cpu b/intel/runtimes/pytorch/ubi9-python-3.9/Pipfile.cpu deleted file mode 100644 index 43cf89ff6..000000000 --- a/intel/runtimes/pytorch/ubi9-python-3.9/Pipfile.cpu +++ /dev/null @@ -1,68 +0,0 @@ -[[source]] -url = "https://pypi.org/simple" -verify_ssl = true -name = "pypi" - -[[source]] -url = "https://download.pytorch.org/whl/cpu" -verify_ssl = true -name = "torch-cpu" - -[[source]] -url = "https://pytorch-extension.intel.com/release-whl/stable/cpu/us/" -verify_ssl = true -name = "ipex-cpu" - -[packages] -# PyTorch packages -torch = {version="==2.1.2", index="torch-cpu"} -intel-extension-for-pytorch = {version="==2.1.100", index="ipex-cpu"} -torchvision = {version="0.16.2", index="torch-cpu"} -torchaudio = {version="2.1.2", index="torch-cpu"} -neural-compressor = {version="2.4.1"} -tensorboard = {version="*"} - -# LLM Packages -datasets = {version="*"} -transformers = {version="*"} -evaluate = {version="*"} - -# Datascience and useful extensions -cloud-data-connector = {version="*"} -kafka-python = "~=2.0.2" -matplotlib = "~=3.6.3" -pandas = "~=1.5.3" -plotly = "~=5.16.1" -scikit-learn = "*" -scipy = "~=1.11.2" -skl2onnx = "~=1.15.0" -codeflare-sdk = "~=0.13.0" - -# DB connectors -pymongo = "~=4.5.0" -psycopg = "~=3.1.10" -pyodbc = "~=4.0.39" -mysql-connector-python = "~=8.0.33" - -# 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 = "==6.5.1" -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" - -[requires] -python_version = "3.9" diff --git a/intel/runtimes/pytorch/ubi9-python-3.9/Pipfile.gpu b/intel/runtimes/pytorch/ubi9-python-3.9/Pipfile.gpu deleted file mode 100755 index 04634977d..000000000 --- a/intel/runtimes/pytorch/ubi9-python-3.9/Pipfile.gpu +++ /dev/null @@ -1,63 +0,0 @@ -[[source]] -url = "https://pypi.org/simple" -verify_ssl = true -name = "pypi" - -[[source]] -url = "https://pytorch-extension.intel.com/release-whl/stable/xpu/us/" -verify_ssl = true -name = "ipex-xpu" - -[packages] -# PyTorch packages -torch = {version="==2.1.0a0", index="ipex-xpu"} -intel_extension_for_pytorch = {version="==2.1.10+xpu", index="ipex-xpu"} -torchvision = {version="0.16.0a0", index="ipex-xpu"} -torchaudio = {version="2.1.0a0", index="ipex-xpu"} -neural-compressor = {version="2.4.1"} -tensorboard = {version="*"} - -# LLM Packages -datasets = {version="*"} -transformers = {version="*"} -evaluate = {version="*"} - -# Datascience and useful extensions -cloud-data-connector = {version="*"} -kafka-python = "~=2.0.2" -matplotlib = "~=3.6.3" -pandas = "~=1.5.3" -plotly = "~=5.16.1" -scikit-learn = "*" -scipy = "~=1.11.2" -skl2onnx = "~=1.15.0" -codeflare-sdk = "~=0.13.0" - -# DB connectors -pymongo = "~=4.5.0" -psycopg = "~=3.1.10" -pyodbc = "~=4.0.39" -mysql-connector-python = "~=8.0.33" - -# 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 = "==6.5.1" -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" - -[requires] -python_version = "3.9" diff --git a/intel/runtimes/pytorch/ubi9-python-3.9/Pipfile.lock.cpu b/intel/runtimes/pytorch/ubi9-python-3.9/Pipfile.lock.cpu deleted file mode 100644 index fa9c4b71b..000000000 --- a/intel/runtimes/pytorch/ubi9-python-3.9/Pipfile.lock.cpu +++ /dev/null @@ -1,4228 +0,0 @@ -{ - "_meta": { - "hash": { - "sha256": "2d399f24f7f4814e9aba66d1250d9900c54eda58285bb2c5d8f1faedcea802a9" - 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], - "markers": "python_version >= '3.8'", - "version": "==3.19.2" - } - }, - "develop": {} -} diff --git a/intel/runtimes/pytorch/ubi9-python-3.9/kustomize/base/kustomization.yaml b/intel/runtimes/pytorch/ubi9-python-3.9/kustomize/base/kustomization.yaml deleted file mode 100644 index 5a9fe53a0..000000000 --- a/intel/runtimes/pytorch/ubi9-python-3.9/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: intel-runtime-pytorch-ubi9-python-3.9 -configMapGenerator: - - name: req-config - files: - - requirements-elyra.txt diff --git a/intel/runtimes/pytorch/ubi9-python-3.9/kustomize/base/pod.yaml b/intel/runtimes/pytorch/ubi9-python-3.9/kustomize/base/pod.yaml deleted file mode 100644 index bc5343566..000000000 --- a/intel/runtimes/pytorch/ubi9-python-3.9/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/intel/runtimes/pytorch/ubi9-python-3.9/kustomize/base/requirements-elyra.txt b/intel/runtimes/pytorch/ubi9-python-3.9/kustomize/base/requirements-elyra.txt deleted file mode 100644 index 1097e6141..000000000 --- a/intel/runtimes/pytorch/ubi9-python-3.9/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==6.5.1 -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 diff --git a/intel/runtimes/pytorch/ubi9-python-3.9/oneAPI.repo b/intel/runtimes/pytorch/ubi9-python-3.9/oneAPI.repo deleted file mode 100644 index 1d24ea25f..000000000 --- a/intel/runtimes/pytorch/ubi9-python-3.9/oneAPI.repo +++ /dev/null @@ -1,7 +0,0 @@ -[oneAPI] -name=Intel® oneAPI repository -baseurl=https://yum.repos.intel.com/oneapi -enabled=1 -gpgcheck=1 -repo_gpgcheck=1 -gpgkey=https://yum.repos.intel.com/intel-gpg-keys/GPG-PUB-KEY-INTEL-SW-PRODUCTS.PUB \ No newline at end of file diff --git a/intel/runtimes/pytorch/ubi9-python-3.9/utils/bootstrapper.py b/intel/runtimes/pytorch/ubi9-python-3.9/utils/bootstrapper.py deleted file mode 100644 index 723e9b975..000000000 --- a/intel/runtimes/pytorch/ubi9-python-3.9/utils/bootstrapper.py +++ /dev/null @@ -1,746 +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}' to '{python_script_output}'" - ) - t0 = time.time() - - run_args = ["python3", python_script] - if self.parameter_pass_method == "env": - self.set_parameters_in_env() - - with open(python_script_output, "w") as log_file: - subprocess.run(run_args, stdout=log_file, stderr=subprocess.STDOUT, check=True) - - 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}' to '{r_script_output}'") - t0 = time.time() - - run_args = ["Rscript", r_script] - if self.parameter_pass_method == "env": - self.set_parameters_in_env() - - with open(r_script_output, "w") as log_file: - subprocess.run(run_args, stdout=log_file, stderr=subprocess.STDOUT, check=True) - - 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/intel/runtimes/pytorch/ubi9-python-3.9/utils/pip.conf b/intel/runtimes/pytorch/ubi9-python-3.9/utils/pip.conf deleted file mode 100644 index 69a2baf4c..000000000 --- a/intel/runtimes/pytorch/ubi9-python-3.9/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/intel/runtimes/pytorch/ubi9-python-3.9/utils/requirements-elyra.txt b/intel/runtimes/pytorch/ubi9-python-3.9/utils/requirements-elyra.txt deleted file mode 100644 index d93355fe8..000000000 --- a/intel/runtimes/pytorch/ubi9-python-3.9/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==6.5.1 -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/intel/runtimes/tensorflow/ubi9-python-3.11/Dockerfile b/intel/runtimes/tensorflow/ubi9-python-3.11/Dockerfile index d2804198b..19e335b50 100644 --- a/intel/runtimes/tensorflow/ubi9-python-3.11/Dockerfile +++ b/intel/runtimes/tensorflow/ubi9-python-3.11/Dockerfile @@ -1,6 +1,8 @@ ARG BASE_IMAGE FROM ${BASE_IMAGE} +ARG SOURCE_CODE=intel/runtimes/tensorflow/ubi9-python-3.11 + LABEL name="odh-notebook-intel-runtime-tensorflow-ubi9-python-3.11" \ summary="Runtime Intel® optimized TensorFlow notebook image for ODH notebooks" \ description="Runtime Intel® optimized TesorFlow notebook image with base Python 3.11 builder image based on UBI9 for ODH notebooks" \ @@ -14,7 +16,7 @@ LABEL name="odh-notebook-intel-runtime-tensorflow-ubi9-python-3.11" \ USER root ARG ONEAPI_VERSION=2024.0 -COPY oneAPI.repo /etc/yum.repos.d/oneAPI.repo +COPY ${SOURCE_CODE}/oneAPI.repo /etc/yum.repos.d/oneAPI.repo RUN dnf update -y && \ dnf install -y intel-oneapi-compiler-dpcpp-cpp-runtime-${ONEAPI_VERSION} \ @@ -29,10 +31,10 @@ USER 1001 WORKDIR /opt/app-root/bin # Install Python packages from Pipfile.lock -COPY Pipfile.lock.gpu Pipfile.lock +COPY ${SOURCE_CODE}/Pipfile.lock.gpu Pipfile.lock # Copy Elyra dependencies for air-gapped enviroment -COPY utils utils +COPY ${SOURCE_CODE}/utils utils #Virtualenv creates a symlink of lib to lib64. That causes issues with importing ITEX since both locations will have ITEX library and it will conflict. RUN unlink /opt/app-root/lib64 && \ @@ -46,7 +48,7 @@ RUN unlink /opt/app-root/lib64 && \ ENV CPU_ENV=/opt/app-root-cpu ENV GPU_ENV=/opt/app-root -COPY --chown=1001:0 Pipfile.lock.cpu ${CPU_ENV}/Pipfile.lock +COPY --chown=1001:0 ${SOURCE_CODE}/Pipfile.lock.cpu ${CPU_ENV}/Pipfile.lock #CPU env WORKDIR ${CPU_ENV} diff --git a/intel/runtimes/tensorflow/ubi9-python-3.9/Dockerfile b/intel/runtimes/tensorflow/ubi9-python-3.9/Dockerfile deleted file mode 100644 index 51e1eafa5..000000000 --- a/intel/runtimes/tensorflow/ubi9-python-3.9/Dockerfile +++ /dev/null @@ -1,66 +0,0 @@ -ARG BASE_IMAGE -FROM ${BASE_IMAGE} - -LABEL name="odh-notebook-intel-runtime-tensorflow-ubi9-python-3.9" \ - summary="Runtime Intel® optimized TensorFlow notebook image for ODH notebooks" \ - description="Runtime Intel® optimized TesorFlow notebook image with base Python 3.9 builder image based on UBI9 for ODH notebooks" \ - io.k8s.display-name="Runtime Intel® optimized TensorFlow notebook image for ODH notebooks" \ - io.k8s.description="Runtime Intel® optimized TensorFlow notebook image with base Python 3.9 builder image based on UBI9 for ODH notebooks" \ - authoritative-source-url="https://github.com/opendatahub-io/notebooks" \ - io.openshift.build.commit.ref="main" \ - io.openshift.build.source-location="https://github.com/opendatahub-io/notebooks/tree/main/intel/runtimes/tensorflow/ubi9-python-3.9" \ - io.openshift.build.image="quay.io/opendatahub/workbench-images:intel-runtime-tensorflow-ubi9-python-3.9" - -USER root - -ARG ONEAPI_VERSION=2024.0 -COPY oneAPI.repo /etc/yum.repos.d/oneAPI.repo - -RUN dnf update -y && \ - dnf install -y intel-oneapi-compiler-dpcpp-cpp-runtime-${ONEAPI_VERSION} \ - intel-oneapi-mkl-${ONEAPI_VERSION} \ - intel-oneapi-dnnl-${ONEAPI_VERSION} && \ - dnf clean all -y && \ - rm -rf /var/cache/dnf/* && \ - rm /etc/yum.repos.d/oneAPI.repo - -USER 1001 - -WORKDIR /opt/app-root/bin - -# Install Python packages from Pipfile.lock -COPY Pipfile.lock.gpu Pipfile.lock - -# Copy Elyra dependencies for air-gapped enviroment -COPY utils utils - -#Virtualenv creates a symlink of lib to lib64. That causes issues with importing ITEX since both locations will have ITEX library and it will conflict. -RUN unlink /opt/app-root/lib64 && \ - cp -r /opt/app-root/lib /opt/app-root/lib64 && \ - 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/python3.9/site-packages && \ - fix-permissions /opt/app-root -P - -ENV CPU_ENV=/opt/app-root-cpu -ENV GPU_ENV=/opt/app-root -COPY --chown=1001:0 Pipfile.lock.cpu ${CPU_ENV}/Pipfile.lock - -#CPU env -WORKDIR ${CPU_ENV} -RUN python3.9 -m venv ${CPU_ENV} && \ - chown -R 1001:0 ${CPU_ENV} && \ - fix-permissions ${CPU_ENV} -P && \ - unlink ${CPU_ENV}/lib64 && \ - cp -r ${CPU_ENV}/lib ${CPU_ENV}/lib64 && \ - source ${CPU_ENV}/bin/activate && \ - pip install --no-cache-dir -U "micropipenv[toml]" && \ - micropipenv install && \ - rm -f ./Pipfile.lock && \ - # Fix permissions to support pip in Openshift environments \ - chmod -R g+w /opt/app-root/lib/python3.9/site-packages && \ - fix-permissions /opt/app-root -P - -WORKDIR /opt/app-root/src diff --git a/intel/runtimes/tensorflow/ubi9-python-3.9/Pipfile.cpu b/intel/runtimes/tensorflow/ubi9-python-3.9/Pipfile.cpu deleted file mode 100644 index fe876c7bc..000000000 --- a/intel/runtimes/tensorflow/ubi9-python-3.9/Pipfile.cpu +++ /dev/null @@ -1,58 +0,0 @@ -[[source]] -url = "https://pypi.org/simple" -verify_ssl = true -name = "pypi" - -[packages] -# TensorFlow packages -tensorflow = {version="==2.14"} -"intel-extension-for-tensorflow[cpu]" = {version="==2.14"} -neural-compressor = {version="2.4.1"} -tensorboard = {version="*"} -tensorflow_hub = {version="*"} -tf2onnx = {version="*"} - -# LLM Packages -datasets = {version="*"} -transformers = {version="*"} -evaluate = {version="*"} - -# Datascience and useful extensions -cloud-data-connector = {version="*"} -kafka-python = "~=2.0.2" -matplotlib = "~=3.6.3" -pandas = "~=1.5.3" -plotly = "~=5.16.1" -scikit-learn = "*" -scipy = "~=1.11.2" -skl2onnx = "~=1.15.0" -codeflare-sdk = "~=0.13.0" - -# DB connectors -pymongo = "~=4.5.0" -psycopg = "~=3.1.10" -pyodbc = "~=4.0.39" -mysql-connector-python = "~=8.0.33" - -# 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 = "==6.5.1" -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" - -[requires] -python_version = "3.9" diff --git a/intel/runtimes/tensorflow/ubi9-python-3.9/Pipfile.gpu b/intel/runtimes/tensorflow/ubi9-python-3.9/Pipfile.gpu deleted file mode 100755 index 30a8f7c88..000000000 --- a/intel/runtimes/tensorflow/ubi9-python-3.9/Pipfile.gpu +++ /dev/null @@ -1,58 +0,0 @@ -[[source]] -url = "https://pypi.org/simple" -verify_ssl = true -name = "pypi" - -[packages] -# TensorFlow packages -tensorflow = {version="==2.14"} -"intel-extension-for-tensorflow[xpu]" = {version="==2.14"} -neural-compressor = {version="2.4.1"} -tensorboard = {version="*"} -tensorflow_hub = {version="*"} -tf2onnx = {version="*"} - -# LLM Packages -datasets = {version="*"} -transformers = {version="*"} -evaluate = {version="*"} - -# Datascience and useful extensions -cloud-data-connector = {version="*"} -kafka-python = "~=2.0.2" -matplotlib = "~=3.6.3" -pandas = "~=1.5.3" -plotly = "~=5.16.1" -scikit-learn = "*" -scipy = "~=1.11.2" -skl2onnx = "~=1.15.0" -codeflare-sdk = "~=0.13.0" - -# DB connectors -pymongo = "~=4.5.0" -psycopg = "~=3.1.10" -pyodbc = "~=4.0.39" -mysql-connector-python = "~=8.0.33" - -# 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 = "==6.5.1" -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" - 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], - "markers": "python_version >= '3.8'", - "version": "==3.19.2" - } - }, - "develop": {} -} diff --git a/intel/runtimes/tensorflow/ubi9-python-3.9/kustomize/base/kustomization.yaml b/intel/runtimes/tensorflow/ubi9-python-3.9/kustomize/base/kustomization.yaml deleted file mode 100644 index 1f69c87dc..000000000 --- a/intel/runtimes/tensorflow/ubi9-python-3.9/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: intel-runtime-tensorflow-ubi9-python-3.9 -configMapGenerator: - - name: req-config - files: - - requirements-elyra.txt diff --git a/intel/runtimes/tensorflow/ubi9-python-3.9/kustomize/base/pod.yaml b/intel/runtimes/tensorflow/ubi9-python-3.9/kustomize/base/pod.yaml deleted file mode 100644 index bc5343566..000000000 --- a/intel/runtimes/tensorflow/ubi9-python-3.9/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/intel/runtimes/tensorflow/ubi9-python-3.9/kustomize/base/requirements-elyra.txt b/intel/runtimes/tensorflow/ubi9-python-3.9/kustomize/base/requirements-elyra.txt deleted file mode 100644 index 1097e6141..000000000 --- a/intel/runtimes/tensorflow/ubi9-python-3.9/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==6.5.1 -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 diff --git a/intel/runtimes/tensorflow/ubi9-python-3.9/oneAPI.repo b/intel/runtimes/tensorflow/ubi9-python-3.9/oneAPI.repo deleted file mode 100644 index 1d24ea25f..000000000 --- a/intel/runtimes/tensorflow/ubi9-python-3.9/oneAPI.repo +++ /dev/null @@ -1,7 +0,0 @@ -[oneAPI] -name=Intel® oneAPI repository -baseurl=https://yum.repos.intel.com/oneapi -enabled=1 -gpgcheck=1 -repo_gpgcheck=1 -gpgkey=https://yum.repos.intel.com/intel-gpg-keys/GPG-PUB-KEY-INTEL-SW-PRODUCTS.PUB \ No newline at end of file diff --git a/intel/runtimes/tensorflow/ubi9-python-3.9/utils/bootstrapper.py b/intel/runtimes/tensorflow/ubi9-python-3.9/utils/bootstrapper.py deleted file mode 100644 index 723e9b975..000000000 --- a/intel/runtimes/tensorflow/ubi9-python-3.9/utils/bootstrapper.py +++ /dev/null @@ -1,746 +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}' to '{python_script_output}'" - ) - t0 = time.time() - - run_args = ["python3", python_script] - if self.parameter_pass_method == "env": - self.set_parameters_in_env() - - with open(python_script_output, "w") as log_file: - subprocess.run(run_args, stdout=log_file, stderr=subprocess.STDOUT, check=True) - - 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}' to '{r_script_output}'") - t0 = time.time() - - run_args = ["Rscript", r_script] - if self.parameter_pass_method == "env": - self.set_parameters_in_env() - - with open(r_script_output, "w") as log_file: - subprocess.run(run_args, stdout=log_file, stderr=subprocess.STDOUT, check=True) - - 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/intel/runtimes/tensorflow/ubi9-python-3.9/utils/pip.conf b/intel/runtimes/tensorflow/ubi9-python-3.9/utils/pip.conf deleted file mode 100644 index 69a2baf4c..000000000 --- a/intel/runtimes/tensorflow/ubi9-python-3.9/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/intel/runtimes/tensorflow/ubi9-python-3.9/utils/requirements-elyra.txt b/intel/runtimes/tensorflow/ubi9-python-3.9/utils/requirements-elyra.txt deleted file mode 100644 index d93355fe8..000000000 --- a/intel/runtimes/tensorflow/ubi9-python-3.9/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==6.5.1 -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/jupyter/datascience/ubi9-python-3.11/Dockerfile b/jupyter/datascience/ubi9-python-3.11/Dockerfile index bf4db5098..464179155 100644 --- a/jupyter/datascience/ubi9-python-3.11/Dockerfile +++ b/jupyter/datascience/ubi9-python-3.11/Dockerfile @@ -1,6 +1,8 @@ ARG BASE_IMAGE FROM ${BASE_IMAGE} +ARG SOURCE_CODE=jupyter/datascience/ubi9-python-3.11 + LABEL name="odh-notebook-jupyter-datascience-ubi9-python-3.11" \ summary="Jupyter data science notebook image for ODH notebooks" \ description="Jupyter data science notebook image with base Python 3.11 builder image based on UBI9 for ODH notebooks" \ @@ -14,10 +16,10 @@ LABEL name="odh-notebook-jupyter-datascience-ubi9-python-3.11" \ WORKDIR /opt/app-root/bin # Install Python packages and Jupyterlab extensions from Pipfile.lock -COPY Pipfile.lock ./ +COPY ${SOURCE_CODE}/Pipfile.lock ./ # Copy Elyra setup to utils so that it's sourced at startup -COPY setup-elyra.sh ./utils/ +COPY ${SOURCE_CODE}/setup-elyra.sh ./utils/ RUN echo "Installing softwares and packages" && \ micropipenv install && \ @@ -26,7 +28,7 @@ RUN echo "Installing softwares and packages" && \ chmod -R g+w /opt/app-root/lib/python3.11/site-packages && \ fix-permissions /opt/app-root -P -COPY utils ./utils/ +COPY ${SOURCE_CODE}/utils ./utils/ # OS Packages needs to be installed as root USER root @@ -38,12 +40,12 @@ RUN dnf install -y jq unixODBC postgresql git-lfs libsndfile && dnf clean all && 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 +COPY ${SOURCE_CODE}/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 +COPY ${SOURCE_CODE}/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 @@ -63,6 +65,6 @@ RUN mkdir /opt/app-root/runtimes && \ 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/ +COPY ${SOURCE_CODE}/runtime-images/ /opt/app-root/share/jupyter/metadata/runtime-images/ WORKDIR /opt/app-root/src diff --git a/jupyter/datascience/ubi9-python-3.11/Pipfile b/jupyter/datascience/ubi9-python-3.11/Pipfile old mode 100644 new mode 100755 index 600f8f31c..981f920e2 --- a/jupyter/datascience/ubi9-python-3.11/Pipfile +++ b/jupyter/datascience/ubi9-python-3.11/Pipfile @@ -18,7 +18,8 @@ scikit-learn = "~=1.5.1" scipy = "~=1.14.1" skl2onnx = "~=1.17.0" onnxconverter-common = "~=1.13.0" # Required for skl2onnx, as upgraded version is not compatible with protobuf -codeflare-sdk = "~=0.24.0" +codeflare-sdk = "~=0.25.0" +kubeflow-training = {extras = ["huggingface"], version = "==1.8.1"} # DB connectors pymongo = "~=4.8.0" @@ -30,7 +31,7 @@ mysql-connector-python = "~=9.0.0" odh-elyra = "==4.2.0" -jupyterlab = "~=4.2.4" +jupyterlab = "==4.2.6" jupyter-bokeh = "~=4.0.5" jupyter-server = "~=2.14.2" jupyter-server-proxy = "~=4.3.0" diff --git a/jupyter/datascience/ubi9-python-3.11/Pipfile.lock b/jupyter/datascience/ubi9-python-3.11/Pipfile.lock index a5c69c54f..8064627f4 100644 --- a/jupyter/datascience/ubi9-python-3.11/Pipfile.lock +++ b/jupyter/datascience/ubi9-python-3.11/Pipfile.lock @@ -1,7 +1,7 @@ { "_meta": { "hash": { - "sha256": "6783bc4fdf5228299bd3631e72dcd7d3631352e6cd0fe4a020826fa09512f275" + "sha256": "4a72e0907ad7cbd9c354cbb8ec5e463744a20ef108f1450eeba863726026132d" }, "pipfile-spec": 6, "requires": { @@ -16,95 +16,103 @@ ] }, "default": { + "accelerate": { + "hashes": [ + "sha256:03e161fc69d495daf2b9b5c8d5b43d06e2145520c04727b5bda56d49f1a43ab5", + "sha256:be1cbb958cf837e7cdfbde46b812964b1b8ae94c9c7d94d921540beafcee8ddf" + ], + "markers": "python_full_version >= '3.9.0'", + "version": "==1.2.1" + }, "aiohappyeyeballs": { "hashes": [ - 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b/jupyter/datascience/ubi9-python-3.11/runtime-images/datascience-ubi9-py311.json index 8d871012a..7c60c019d 100644 --- a/jupyter/datascience/ubi9-python-3.11/runtime-images/datascience-ubi9-py311.json +++ b/jupyter/datascience/ubi9-python-3.11/runtime-images/datascience-ubi9-py311.json @@ -5,7 +5,7 @@ "datascience" ], "display_name": "Datascience with Python 3.11 (UBI9)", - "image_name": "quay.io/opendatahub/workbench-images@sha256:75d683356c083ca9f229692ae987e430b5f839d7ca5151eef0f86c212ef482e3", + "image_name": "quay.io/opendatahub/workbench-images@sha256:304d3b2ea846832f27312ef6776064a1bf3797c645b6fea0b292a7ef6416458e", "pull_policy": "IfNotPresent" }, "schema_name": "runtime-image" diff --git a/jupyter/datascience/ubi9-python-3.11/runtime-images/pytorch-ubi9-py311.json b/jupyter/datascience/ubi9-python-3.11/runtime-images/pytorch-ubi9-py311.json index 181d420e4..4c250197a 100644 --- a/jupyter/datascience/ubi9-python-3.11/runtime-images/pytorch-ubi9-py311.json +++ b/jupyter/datascience/ubi9-python-3.11/runtime-images/pytorch-ubi9-py311.json @@ -5,7 +5,7 @@ "pytorch" ], "display_name": "Pytorch with CUDA and Python 3.11 (UBI9)", - "image_name": "quay.io/opendatahub/workbench-images@sha256:784119c58d28cc45404d9221dc7995fcd171bd6955fd620859cb2363f805003b", + "image_name": "quay.io/opendatahub/workbench-images@sha256:6a2806bf3cd9b00f60f3c7fe907727fb954c9776a075d9d58df26b5119d7afe6", "pull_policy": "IfNotPresent" }, "schema_name": "runtime-image" diff --git a/jupyter/datascience/ubi9-python-3.11/runtime-images/rocm-pytorch-ubi9-py311.json b/jupyter/datascience/ubi9-python-3.11/runtime-images/rocm-pytorch-ubi9-py311.json index dc9b5cd7b..d3b213139 100644 --- a/jupyter/datascience/ubi9-python-3.11/runtime-images/rocm-pytorch-ubi9-py311.json +++ b/jupyter/datascience/ubi9-python-3.11/runtime-images/rocm-pytorch-ubi9-py311.json @@ -5,7 +5,7 @@ "rocm-pytorch" ], "display_name": "Pytorch with ROCm and Python 3.11 (UBI9)", - "image_name": "quay.io/opendatahub/workbench-images@sha256:a36d7fe9490ec06580d5cf29a8f7ddeb251ee7b2104761676678d708731ebc30", + "image_name": "quay.io/opendatahub/workbench-images@sha256:c6d74d73b835d0f97040ca99bb25065a949b817b52179f239a5361c3299352ba", "pull_policy": "IfNotPresent" }, "schema_name": "runtime-image" diff --git a/jupyter/datascience/ubi9-python-3.11/runtime-images/rocm-tensorflow-ubi9-py311.json b/jupyter/datascience/ubi9-python-3.11/runtime-images/rocm-tensorflow-ubi9-py311.json index aeac20927..9378e160c 100644 --- a/jupyter/datascience/ubi9-python-3.11/runtime-images/rocm-tensorflow-ubi9-py311.json +++ b/jupyter/datascience/ubi9-python-3.11/runtime-images/rocm-tensorflow-ubi9-py311.json @@ -5,7 +5,7 @@ "rocm-tensorflow" ], "display_name": "TensorFlow with ROCm and Python 3.11 (UBI9)", - "image_name": "quay.io/opendatahub/workbench-images@sha256:0d80c1921771ecf38e09050cc358058ab8496010ffbb59adbfdcf94151f962b2", + "image_name": "quay.io/opendatahub/workbench-images@sha256:6a2da12a8bdc9cfcda27f4189827be5fbde4b4b4c4f7d92ac694d9360e3562dc", "pull_policy": "IfNotPresent" }, "schema_name": "runtime-image" diff --git a/jupyter/datascience/ubi9-python-3.11/runtime-images/tensorflow-ubi9-py311.json b/jupyter/datascience/ubi9-python-3.11/runtime-images/tensorflow-ubi9-py311.json index c25d93c14..38508b7d0 100644 --- a/jupyter/datascience/ubi9-python-3.11/runtime-images/tensorflow-ubi9-py311.json +++ b/jupyter/datascience/ubi9-python-3.11/runtime-images/tensorflow-ubi9-py311.json @@ -5,7 +5,7 @@ "tensorflow" ], "display_name": "TensorFlow with CUDA and Python 3.11 (UBI9)", - "image_name": "quay.io/opendatahub/workbench-images@sha256:d23597d80c52a2226128f767c981b6c8fad10a7c16d8df6c23c8c7983a3d300b", + "image_name": "quay.io/opendatahub/workbench-images@sha256:5d695b2e5dc76fc07a138644e2cd507c73eb9b26a47596734169c0b313e733f9", "pull_policy": "IfNotPresent" }, "schema_name": "runtime-image" diff --git a/jupyter/datascience/ubi9-python-3.11/runtime-images/ubi9-py311.json b/jupyter/datascience/ubi9-python-3.11/runtime-images/ubi9-py311.json index b7eeca6ae..5d03263f6 100644 --- a/jupyter/datascience/ubi9-python-3.11/runtime-images/ubi9-py311.json +++ b/jupyter/datascience/ubi9-python-3.11/runtime-images/ubi9-py311.json @@ -5,7 +5,7 @@ "minimal" ], "display_name": "Python 3.11 (UBI9)", - "image_name": "quay.io/opendatahub/workbench-images@sha256:a8ae4aa03c68663a63770eb5fd8909d50ff5a4dfb46217280f9cbd7333e5e6b9", + "image_name": "quay.io/opendatahub/workbench-images@sha256:a2b1bf59f25fd0694394ad927e5eba93e32df9c2c11d8b54412564a9fc736ab8", "pull_policy": "IfNotPresent" }, "schema_name": "runtime-image" diff --git a/jupyter/datascience/ubi9-python-3.9/Dockerfile b/jupyter/datascience/ubi9-python-3.9/Dockerfile deleted file mode 100644 index 878ff2009..000000000 --- a/jupyter/datascience/ubi9-python-3.9/Dockerfile +++ /dev/null @@ -1,83 +0,0 @@ -ARG BASE_IMAGE -FROM ${BASE_IMAGE} - -LABEL name="odh-notebook-jupyter-datascience-ubi9-python-3.9" \ - summary="Jupyter data science notebook image for ODH notebooks" \ - description="Jupyter data science notebook image with base Python 3.9 builder image based on UBI9 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 3.9 builder image based on UBI9 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/ubi9-python-3.9" \ - io.openshift.build.image="quay.io/opendatahub/workbench-images:jupyter-datascience-ubi9-python-3.9" - -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 && \ - # Fix permissions to support pip in Openshift environments \ - chmod -R g+w /opt/app-root/lib/python3.9/site-packages && \ - fix-permissions /opt/app-root -P - -COPY utils ./utils/ - -# OS Packages needs to be installed as root -USER root - -# Install usefull OS packages -RUN dnf install -y jq unixODBC postgresql 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/python3.9/site-packages/elyra/static/icons/kubeflow.svg && \ - sed -i "s/Kubeflow Pipelines/Data Science/g" /opt/app-root/lib/python3.9/site-packages/elyra/pipeline/runtime_type.py && \ - sed -i "s/Kubeflow Pipelines/Data Science Pipelines/g" /opt/app-root/lib/python3.9/site-packages/elyra/metadata/schemas/kfp.json && \ - sed -i "s/kubeflow-service/data-science-pipeline-service/g" /opt/app-root/lib/python3.9/site-packages/elyra/metadata/schemas/kfp.json && \ - # switch to Data Science Pipeline in component catalog \ - DIR_COMPONENT="/opt/app-root/lib/python3.9/site-packages/elyra/metadata/schemas/local-directory-catalog.json" && \ - FILE_COMPONENT="/opt/app-root/lib/python3.9/site-packages/elyra/metadata/schemas/local-file-catalog.json" && \ - URL_COMPONENT="/opt/app-root/lib/python3.9/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/python3.9/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/ubi9-python-3.9/Pipfile b/jupyter/datascience/ubi9-python-3.9/Pipfile deleted file mode 100644 index fc1f2b87f..000000000 --- a/jupyter/datascience/ubi9-python-3.9/Pipfile +++ /dev/null @@ -1,50 +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 = "~=3.8.3" -numpy = "~=1.26.4" -pandas = "~=2.2.0" -plotly = "~=5.20.0" -scikit-learn = "~=1.4.0" -scipy = "~=1.12.0" -skl2onnx = "~=1.16.0" -onnxconverter-common = "~=1.13.0" # Required for skl2onnx, as upgraded version is not compatible with protobuf -codeflare-sdk = "~=0.19.1" -memray = "~=1.10.0" # any version above this would cause issue with rich package -# 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 = "3.9" diff --git a/jupyter/datascience/ubi9-python-3.9/Pipfile.lock b/jupyter/datascience/ubi9-python-3.9/Pipfile.lock deleted file mode 100644 index 2c6b45e49..000000000 --- a/jupyter/datascience/ubi9-python-3.9/Pipfile.lock +++ /dev/null @@ -1,4339 +0,0 @@ -{ - "_meta": { - "hash": { - "sha256": "e1c92cc2519dc19daaac3932d5b3f843b33cfbf01edb0272684f70523e06a506" - }, - "pipfile-spec": 6, - "requires": { - "python_version": "3.9" - }, - "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" - }, - "aiohappyeyeballs": { - "hashes": [ - "sha256:75cf88a15106a5002a8eb1dab212525c00d1f4c0fa96e551c9fbe6f09a621586", - "sha256:8a7a83727b2756f394ab2895ea0765a0a8c475e3c71e98d43d76f22b4b435572" - ], - "markers": "python_version >= '3.8'", - "version": "==2.4.3" - }, - "aiohttp": { - "hashes": [ - "sha256:007ec22fbc573e5eb2fb7dec4198ef8f6bf2fe4ce20020798b2eb5d0abda6138", - "sha256:00819de9e45d42584bed046314c40ea7e9aea95411b38971082cad449392b08c", - "sha256:01948b1d570f83ee7bbf5a60ea2375a89dfb09fd419170e7f5af029510033d24", - 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/dev/null @@ -1,13 +0,0 @@ ---- -apiVersion: kustomize.config.k8s.io/v1beta1 -kind: Kustomization -namePrefix: jupyter-datascience-ubi9-python-3-9- -commonLabels: - app: jupyter-datascience-ubi9-python-3-9 -resources: - - service.yaml - - statefulset.yaml -images: - - name: quay.io/opendatahub/workbench-images - newName: quay.io/opendatahub/workbench-images - newTag: jupyter-datascience-ubi9-python-3.9 diff --git a/jupyter/datascience/ubi9-python-3.9/kustomize/base/service.yaml b/jupyter/datascience/ubi9-python-3.9/kustomize/base/service.yaml deleted file mode 100644 index d6f7128e8..000000000 --- a/jupyter/datascience/ubi9-python-3.9/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/ubi9-python-3.9/kustomize/base/statefulset.yaml b/jupyter/datascience/ubi9-python-3.9/kustomize/base/statefulset.yaml deleted file mode 100644 index e3d9ce87e..000000000 --- a/jupyter/datascience/ubi9-python-3.9/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-ubi9-python-3.9 - 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/ubi9-python-3.9/mongodb-org-6.0.repo-x86_64 b/jupyter/datascience/ubi9-python-3.9/mongodb-org-6.0.repo-x86_64 deleted file mode 100644 index 691865d46..000000000 --- a/jupyter/datascience/ubi9-python-3.9/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/9/mongodb-org/6.0/x86_64/ -gpgcheck=1 -enabled=1 -gpgkey=https://www.mongodb.org/static/pgp/server-6.0.asc \ No newline at end of file diff --git a/jupyter/datascience/ubi9-python-3.9/mssql-2022.repo-x86_64 b/jupyter/datascience/ubi9-python-3.9/mssql-2022.repo-x86_64 deleted file mode 100644 index 0f70854e5..000000000 --- a/jupyter/datascience/ubi9-python-3.9/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/9.0/prod/ -enabled=1 -gpgcheck=1 -gpgkey=https://packages.microsoft.com/keys/microsoft.asc \ No newline at end of file diff --git a/jupyter/datascience/ubi9-python-3.9/runtime-images/datascience-ubi9-py39.json b/jupyter/datascience/ubi9-python-3.9/runtime-images/datascience-ubi9-py39.json deleted file mode 100644 index d41316ba2..000000000 --- a/jupyter/datascience/ubi9-python-3.9/runtime-images/datascience-ubi9-py39.json +++ /dev/null @@ -1,12 +0,0 @@ -{ - "display_name": "Datascience with Python 3.9 (UBI9)", - "metadata": { - "tags": [ - "datascience" - ], - "display_name": "Datascience with Python 3.9 (UBI9)", - "image_name": "quay.io/opendatahub/workbench-images@sha256:de2e7e15333d5a4586405e925ac8094094b9100cbee424b6a08b8d4d5d6adc89", - "pull_policy": "IfNotPresent" - }, - "schema_name": "runtime-image" -} diff --git a/jupyter/datascience/ubi9-python-3.9/runtime-images/pytorch-ubi9-py39.json b/jupyter/datascience/ubi9-python-3.9/runtime-images/pytorch-ubi9-py39.json deleted file mode 100644 index 45cffdd2a..000000000 --- a/jupyter/datascience/ubi9-python-3.9/runtime-images/pytorch-ubi9-py39.json +++ /dev/null @@ -1,12 +0,0 @@ -{ - "display_name": "Pytorch with CUDA and Python 3.9 (UBI9)", - "metadata": { - "tags": [ - "pytorch" - ], - "display_name": "Pytorch with CUDA and Python 3.9 (UBI9)", - "image_name": "quay.io/opendatahub/workbench-images@sha256:fd42f85f9c4d08844109c8fc00f17dbb6e3efd443b16f1b0aefb63e42a233200", - "pull_policy": "IfNotPresent" - }, - "schema_name": "runtime-image" -} diff --git a/jupyter/datascience/ubi9-python-3.9/runtime-images/rocm-pytorch-ubi9-py39.json b/jupyter/datascience/ubi9-python-3.9/runtime-images/rocm-pytorch-ubi9-py39.json deleted file mode 100644 index b355efd07..000000000 --- a/jupyter/datascience/ubi9-python-3.9/runtime-images/rocm-pytorch-ubi9-py39.json +++ /dev/null @@ -1,12 +0,0 @@ -{ - "display_name": "Pytorch with ROCm and Python 3.9 (UBI9)", - "metadata": { - "tags": [ - "rocm-pytorch" - ], - "display_name": "Pytorch with ROCm and Python 3.9 (UBI9)", - "image_name": "quay.io/opendatahub/workbench-images@sha256:22a441fee646a1b2ea519bdad497e8e8b3997095ebb2ce074442c377470c7b35", - "pull_policy": "IfNotPresent" - }, - "schema_name": "runtime-image" -} diff --git a/jupyter/datascience/ubi9-python-3.9/runtime-images/rocm-tensorflow-ubi9-py39.json b/jupyter/datascience/ubi9-python-3.9/runtime-images/rocm-tensorflow-ubi9-py39.json deleted file mode 100644 index 7accee4ff..000000000 --- a/jupyter/datascience/ubi9-python-3.9/runtime-images/rocm-tensorflow-ubi9-py39.json +++ /dev/null @@ -1,12 +0,0 @@ -{ - "display_name": "TensorFlow with ROCm and Python 3.9 (UBI9)", - "metadata": { - "tags": [ - "rocm-tensorflow" - ], - "display_name": "TensorFlow with ROCm and Python 3.9 (UBI9)", - "image_name": "quay.io/opendatahub/workbench-images@sha256:5d1ca0fbdcb745b9aa8336bf66181f5b38e0392be9832d5074b969fbedbc55a6", - "pull_policy": "IfNotPresent" - }, - "schema_name": "runtime-image" -} diff --git a/jupyter/datascience/ubi9-python-3.9/runtime-images/tensorflow-ubi9-py39.json b/jupyter/datascience/ubi9-python-3.9/runtime-images/tensorflow-ubi9-py39.json deleted file mode 100644 index 9862188de..000000000 --- a/jupyter/datascience/ubi9-python-3.9/runtime-images/tensorflow-ubi9-py39.json +++ /dev/null @@ -1,12 +0,0 @@ -{ - "display_name": "TensorFlow with CUDA and Python 3.9 (UBI9)", - "metadata": { - "tags": [ - "tensorflow" - ], - "display_name": "TensorFlow with CUDA and Python 3.9 (UBI9)", - "image_name": "quay.io/opendatahub/workbench-images@sha256:654982f377c47d009ad32d5b6ce3dfa446f8f758320fc142efc3d48aef3408e5", - "pull_policy": "IfNotPresent" - }, - "schema_name": "runtime-image" -} diff --git a/jupyter/datascience/ubi9-python-3.9/runtime-images/ubi9-py39.json b/jupyter/datascience/ubi9-python-3.9/runtime-images/ubi9-py39.json deleted file mode 100644 index e1834a33a..000000000 --- a/jupyter/datascience/ubi9-python-3.9/runtime-images/ubi9-py39.json +++ /dev/null @@ -1,12 +0,0 @@ -{ - "display_name": "Python 3.9 (UBI9)", - "metadata": { - "tags": [ - "minimal" - ], - "display_name": "Python 3.9 (UBI9)", - "image_name": "quay.io/opendatahub/workbench-images@sha256:af183203eee5ecd630b8af54d534853f21f1ecb660ba8c742277807293303df5", - "pull_policy": "IfNotPresent" - }, - "schema_name": "runtime-image" -} diff --git a/jupyter/datascience/ubi9-python-3.9/setup-elyra.sh b/jupyter/datascience/ubi9-python-3.9/setup-elyra.sh deleted file mode 100644 index d9b08b397..000000000 --- a/jupyter/datascience/ubi9-python-3.9/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/ubi9-python-3.9/test/test_notebook.ipynb b/jupyter/datascience/ubi9-python-3.9/test/test_notebook.ipynb deleted file mode 100644 index 0ec04bd1f..000000000 --- a/jupyter/datascience/ubi9-python-3.9/test/test_notebook.ipynb +++ /dev/null @@ -1,227 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": null, - "id": "0c234518-7728-4cf7-95cc-32a53dd78853", - "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 = '3.9'\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 = '2.2'\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 = '1.26'\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 = '1.12'\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 = '1.4'\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 = '3.8'\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", - "\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", - "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/ubi9-python-3.9/utils/component_runtime.json b/jupyter/datascience/ubi9-python-3.9/utils/component_runtime.json deleted file mode 100644 index a1e84196e..000000000 --- a/jupyter/datascience/ubi9-python-3.9/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/ubi9-python-3.9/utils/jupyter_elyra_config.py b/jupyter/datascience/ubi9-python-3.9/utils/jupyter_elyra_config.py deleted file mode 100644 index caa1981d0..000000000 --- a/jupyter/datascience/ubi9-python-3.9/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/ubi9-python-3.9/utils/kfp_authentication.patch b/jupyter/datascience/ubi9-python-3.9/utils/kfp_authentication.patch deleted file mode 100644 index 3b4b776d1..000000000 --- a/jupyter/datascience/ubi9-python-3.9/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/ubi9-python-3.9/utils/pipeline-flow.svg b/jupyter/datascience/ubi9-python-3.9/utils/pipeline-flow.svg deleted file mode 100644 index d265fe8bd..000000000 --- a/jupyter/datascience/ubi9-python-3.9/utils/pipeline-flow.svg +++ /dev/null @@ -1,7 +0,0 @@ - - - - - - \ No newline at end of file diff --git a/jupyter/datascience/ubi9-python-3.9/utils/pipeline_app.patch b/jupyter/datascience/ubi9-python-3.9/utils/pipeline_app.patch deleted file mode 100644 index 2d65b3a86..000000000 --- a/jupyter/datascience/ubi9-python-3.9/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/ubi9-python-3.9/utils/pipeline_definition.patch b/jupyter/datascience/ubi9-python-3.9/utils/pipeline_definition.patch deleted file mode 100644 index 6110b643f..000000000 --- a/jupyter/datascience/ubi9-python-3.9/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/ubi9-python-3.9/utils/processor_kfp.patch b/jupyter/datascience/ubi9-python-3.9/utils/processor_kfp.patch deleted file mode 100644 index 15c46f1e8..000000000 --- a/jupyter/datascience/ubi9-python-3.9/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/intel/ml/ubi9-python-3.11/Dockerfile b/jupyter/intel/ml/ubi9-python-3.11/Dockerfile index 3fffdabe3..14fe45ae9 100644 --- a/jupyter/intel/ml/ubi9-python-3.11/Dockerfile +++ b/jupyter/intel/ml/ubi9-python-3.11/Dockerfile @@ -1,6 +1,9 @@ ARG BASE_IMAGE FROM ${BASE_IMAGE} +ARG REUSABLE_UTILS=jupyter/utils +ARG SOURCE_CODE=jupyter/intel/ml/ubi9-python-3.11 + LABEL name="odh-notebook-jupyter-intel-ml-ubi9-python-3.11" \ summary="Jupyter Intel® optimized ML notebook image for ODH notebooks." \ description="Jupyter Intel® ML notebook image with base Python 3.11 builder image based on UBI9 for ODH notebooks" \ @@ -14,9 +17,9 @@ LABEL name="odh-notebook-jupyter-intel-ml-ubi9-python-3.11" \ WORKDIR /opt/app-root/bin # Install Python packages and Jupyterlab extensions from Pipfile.lock -COPY Pipfile.lock Pipfile.lock +COPY ${SOURCE_CODE}/Pipfile.lock Pipfile.lock -COPY --chown=1001:0 .patch_sklearn.py /opt/app-root/bin/.patch_sklearn.py +COPY --chown=1001:0 ${SOURCE_CODE}/.patch_sklearn.py /opt/app-root/bin/.patch_sklearn.py ENV PYTHONSTARTUP="/opt/app-root/bin/.patch_sklearn.py" RUN echo "Installing softwares and packages" && \ @@ -28,9 +31,9 @@ RUN echo "Installing softwares and packages" && \ fix-permissions /opt/app-root -P #Replacing kernel manually with oneapi variable setting script -COPY --chown=1001:0 start-notebook.sh /opt/app-root/bin -COPY --chown=1001:0 builder /opt/app-root/builder -COPY --chown=1001:0 utils /opt/app-root/bin/utils +COPY --chown=1001:0 ${SOURCE_CODE}/start-notebook.sh /opt/app-root/bin +COPY --chown=1001:0 ${SOURCE_CODE}/builder /opt/app-root/builder +COPY --chown=1001:0 ${REUSABLE_UTILS} /opt/app-root/bin/utils # Apply JupyterLab addons RUN /opt/app-root/bin/utils/addons/apply.sh diff --git a/jupyter/intel/ml/ubi9-python-3.11/Pipfile.lock b/jupyter/intel/ml/ubi9-python-3.11/Pipfile.lock index cbc2f79ba..5f5bd5dc3 100644 --- a/jupyter/intel/ml/ubi9-python-3.11/Pipfile.lock +++ b/jupyter/intel/ml/ubi9-python-3.11/Pipfile.lock @@ -34,93 +34,93 @@ }, "aiohappyeyeballs": { "hashes": [ - "sha256:75cf88a15106a5002a8eb1dab212525c00d1f4c0fa96e551c9fbe6f09a621586", - "sha256:8a7a83727b2756f394ab2895ea0765a0a8c475e3c71e98d43d76f22b4b435572" + "sha256:5fdd7d87889c63183afc18ce9271f9b0a7d32c2303e394468dd45d514a757745", + "sha256:a980909d50efcd44795c4afeca523296716d50cd756ddca6af8c65b996e27de8" ], "markers": "python_version >= '3.8'", - "version": "==2.4.3" + "version": "==2.4.4" }, "aiohttp": { "hashes": [ - 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unpatch_sklearn()") diff --git a/jupyter/intel/ml/ubi9-python-3.9/Dockerfile b/jupyter/intel/ml/ubi9-python-3.9/Dockerfile deleted file mode 100644 index 41887a4e5..000000000 --- a/jupyter/intel/ml/ubi9-python-3.9/Dockerfile +++ /dev/null @@ -1,43 +0,0 @@ -ARG BASE_IMAGE -FROM ${BASE_IMAGE} - -LABEL name="odh-notebook-jupyter-intel-ml-ubi9-python-3.9" \ - summary="Jupyter Intel® optimized ML notebook image for ODH notebooks." \ - description="Jupyter Intel® ML notebook image with base Python 3.9 builder image based on UBI9 for ODH notebooks" \ - io.k8s.display-name="Jupyter Intel® optimized ML notebook image for ODH notebooks." \ - io.k8s.description="Jupyter Intel® optimized ML notebook image with base Python 3.9 builder image based on UBI9 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/intel/ml/ubi9-python-3.9" \ - io.openshift.build.image="quay.io/opendatahub/workbench-images:jupyter-intel-ml-ubi9-python-3.9" - -WORKDIR /opt/app-root/bin - -# Install Python packages and Jupyterlab extensions from Pipfile.lock -COPY Pipfile.lock Pipfile.lock - -COPY --chown=1001:0 .patch_sklearn.py /opt/app-root/bin/.patch_sklearn.py -ENV PYTHONSTARTUP="/opt/app-root/bin/.patch_sklearn.py" - -RUN echo "Installing softwares and packages" && \ - micropipenv install && \ - rm -f ./Pipfile.lock && \ - # Disable announcement plugin of jupyterlab \ - jupyter labextension disable "@jupyterlab/apputils-extension:announcements" && \ - chmod -R g+w /opt/app-root/lib/python3.9/site-packages && \ - fix-permissions /opt/app-root -P - -#Replacing kernel manually with oneapi variable setting script -COPY --chown=1001:0 start-notebook.sh /opt/app-root/bin -COPY --chown=1001:0 builder /opt/app-root/builder -COPY --chown=1001:0 utils /opt/app-root/bin/utils - -# Apply JupyterLab addons -RUN /opt/app-root/bin/utils/addons/apply.sh - -WORKDIR /opt/app-root/src - -ENV JUPYTER_PRELOAD_REPOS="https://github.com/IntelAI/oneAPI-samples" -ENV REPO_BRANCH="main" - -ENTRYPOINT ["bash", "-c", "/opt/app-root/builder/run"] diff --git a/jupyter/intel/ml/ubi9-python-3.9/Pipfile b/jupyter/intel/ml/ubi9-python-3.9/Pipfile deleted file mode 100644 index f79cdbe98..000000000 --- a/jupyter/intel/ml/ubi9-python-3.9/Pipfile +++ /dev/null @@ -1,47 +0,0 @@ -[[source]] -url = "https://pypi.org/simple" -verify_ssl = true -name = "pypi" - -[packages] -# Classical-ML -daal4py = {version="*"} -"modin[ray]" = {version="==0.24.1"} -scikit-learn-intelex = {version="==2024.0.1"} -threadpoolctl = {version="*"} -xgboost = {version="==1.7.3"} -# Datascience and useful extensions -cloud-data-connector = {version="*"} -kafka-python = "~=2.0.2" -matplotlib = "~=3.6.3" -numpy = "~=1.24.3" -pandas = "~=2.1.4" -plotly = "~=5.16.1" -scipy = "~=1.11.2" -scikit-learn = "~=1.3.1" -skl2onnx = "~=1.15.0" -codeflare-sdk = "~=0.19.1" -# DB connectors -pymongo = "~=4.5.0" -psycopg = "~=3.1.10" -pyodbc = "~=4.0.39" -mysql-connector-python = "~=8.0.33" -# JupyterLab packages -elyra-pipeline-editor-extension = "~=3.15.0" -elyra-python-editor-extension = "~=3.15.0" -elyra-code-snippet-extension = "~=3.15.0" -kfp-tekton = "<1.6.0" -jupyterlab = "~=3.6.5" -jupyter-bokeh = "~=3.0.7" -jupyter-server = "~=2.7.3" -jupyter-server-proxy = "~=4.0.0" -jupyter-server-terminals = "~=0.4.4" -jupyterlab-git = "~=0.42.0" -jupyterlab-lsp = "~=4.2.0" -jupyterlab-widgets = "~=3.0.8" -jupyter-resource-usage = "~=1.0.1" -nbdime = "~=3.2.1" -nbgitpuller = "~=1.2.0" - -[requires] -python_version = "3.9" diff --git a/jupyter/intel/ml/ubi9-python-3.9/Pipfile.lock b/jupyter/intel/ml/ubi9-python-3.9/Pipfile.lock deleted file mode 100644 index 1b755e850..000000000 --- a/jupyter/intel/ml/ubi9-python-3.9/Pipfile.lock +++ 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$repo exists locally" - REPO_DIR=$(basename ${repo}) - if [ -d "${REPO_DIR}" ]; then - pushd ${REPO_DIR} - # Do nothing if the repo already exists - echo "The ${repo} has already been cloned" - : - popd - else - GIT_SSL_NO_VERIFY=true git clone ${repo} ${REPO_DIR} ${REPO_BRANCH} - fi - done -fi - -${APP_ROOT}/bin/start-notebook.sh "$@" diff --git a/jupyter/intel/ml/ubi9-python-3.9/kustomize/base/kustomization.yaml b/jupyter/intel/ml/ubi9-python-3.9/kustomize/base/kustomization.yaml deleted file mode 100644 index 585f36996..000000000 --- a/jupyter/intel/ml/ubi9-python-3.9/kustomize/base/kustomization.yaml +++ /dev/null @@ -1,13 +0,0 @@ ---- -apiVersion: kustomize.config.k8s.io/v1beta1 -kind: Kustomization -namePrefix: jupyter-intel-ml-ubi9-python-3-9- -commonLabels: - app: jupyter-intel-ml-ubi9-python-3-9 -resources: - - service.yaml - - statefulset.yaml -images: - - name: quay.io/opendatahub/workbench-images - newName: quay.io/opendatahub/workbench-images - newTag: jupyter-intel-ml-ubi9-python-3.9 diff --git a/jupyter/intel/ml/ubi9-python-3.9/kustomize/base/service.yaml b/jupyter/intel/ml/ubi9-python-3.9/kustomize/base/service.yaml deleted file mode 100644 index d6f7128e8..000000000 --- a/jupyter/intel/ml/ubi9-python-3.9/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/intel/ml/ubi9-python-3.9/kustomize/base/statefulset.yaml b/jupyter/intel/ml/ubi9-python-3.9/kustomize/base/statefulset.yaml deleted file mode 100644 index 4226f0742..000000000 --- a/jupyter/intel/ml/ubi9-python-3.9/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:intel-jupyter-classical-ml-ubi9-python-3.9 - 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: 5000m - memory: 8Gi - requests: - cpu: 5000m - memory: 8Gi diff --git a/jupyter/intel/ml/ubi9-python-3.9/start-notebook.sh b/jupyter/intel/ml/ubi9-python-3.9/start-notebook.sh deleted file mode 100755 index f165c7de8..000000000 --- a/jupyter/intel/ml/ubi9-python-3.9/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/intel/ml/ubi9-python-3.9/test/test_notebook.ipynb b/jupyter/intel/ml/ubi9-python-3.9/test/test_notebook.ipynb deleted file mode 100644 index e83b9b818..000000000 --- a/jupyter/intel/ml/ubi9-python-3.9/test/test_notebook.ipynb +++ /dev/null @@ -1,254 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "tags": [] - }, - "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", - "import kfp_tekton\n", - "import kfp\n", - "from kfp import LocalClient, run_pipeline_func_locally\n", - "import modin.pandas as pdm\n", - "import ray\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 = '3.9'\n", - " actual_major_minor = get_major_minor(python_version())\n", - " self.assertEqual(actual_major_minor, expected_major_minor, \"incorrect version\")\n", - "\n", - "class TestModin(unittest.TestCase):\n", - " def test_version(self):\n", - " expected_major_minor = '0.24'\n", - " actual_major_minor = get_major_minor(pdm.__version__)\n", - " self.assertEqual(actual_major_minor, expected_major_minor, \"incorrect version\")\n", - "\n", - " def test_dataframe_creation(self):\n", - " ray.init()\n", - " sample_df = pdm.DataFrame({'a': [1, 2], 'b': [3, 4]})\n", - " self.assertIsInstance(sample_df, pdm.dataframe.DataFrame)\n", - " ray.shutdown()\n", - " \n", - " def test_ray(self):\n", - " ray.init()\n", - " ray.shutdown()\n", - " \n", - "class TestPandas(unittest.TestCase):\n", - " def test_version(self):\n", - " expected_major_minor = '2.1'\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 = '1.11'\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 = '3.6'\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", - "\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 TestKFPTekton(unittest.TestCase):\n", - "\n", - " def test_version(self):\n", - " expected_major_minor = '1.6.0'\n", - "\n", - " self.assertLess(kfp_tekton.__version__, expected_major_minor)\n", - "\n", - "unittest.main(argv=[''], verbosity=2, exit=False)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.9.18" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/jupyter/intel/pytorch/ubi9-python-3.11/Dockerfile b/jupyter/intel/pytorch/ubi9-python-3.11/Dockerfile index 0a46fa67a..79b0e381c 100644 --- a/jupyter/intel/pytorch/ubi9-python-3.11/Dockerfile +++ b/jupyter/intel/pytorch/ubi9-python-3.11/Dockerfile @@ -1,6 +1,9 @@ ARG BASE_IMAGE FROM ${BASE_IMAGE} +ARG REUSABLE_UTILS=jupyter/utils +ARG SOURCE_CODE=jupyter/intel/pytorch/ubi9-python-3.11 + LABEL name="odh-notebook-jupyter-intel-pytorch-ubi9-python-3.11" \ summary="Jupyter Intel® optimized pytorch notebook image for ODH notebooks." \ description="Jupyter Intel® pytorch notebook image with base Python 3.11 builder image based on UBI9 for ODH notebooks" \ @@ -14,7 +17,7 @@ LABEL name="odh-notebook-jupyter-intel-pytorch-ubi9-python-3.11" \ USER root ARG ONEAPI_VERSION=2024.0 -COPY oneAPI.repo /etc/yum.repos.d/oneAPI.repo +COPY ${SOURCE_CODE}/oneAPI.repo /etc/yum.repos.d/oneAPI.repo RUN dnf update -y && \ dnf install -y intel-oneapi-compiler-dpcpp-cpp-runtime-${ONEAPI_VERSION} \ @@ -29,7 +32,7 @@ USER 1001 WORKDIR /opt/app-root/bin # Install Python packages and Jupyterlab extensions from Pipfile.lock -COPY Pipfile.lock.gpu Pipfile.lock +COPY ${SOURCE_CODE}/Pipfile.lock.gpu Pipfile.lock RUN echo "Installing softwares and packages" && \ micropipenv install && \ @@ -41,16 +44,16 @@ RUN echo "Installing softwares and packages" && \ #Replacing kernel manually with oneapi variable setting script -COPY --chown=1001:0 start-kernel /opt/app-root/bin/start-kernel -COPY --chown=1001:0 kernel-gpu.json /opt/app-root/share/jupyter/kernels/python3/kernel.json -COPY --chown=1001:0 start-notebook.sh /opt/app-root/bin -COPY --chown=1001:0 builder /opt/app-root/builder -COPY --chown=1001:0 utils /opt/app-root/bin/utils +COPY --chown=1001:0 ${SOURCE_CODE}/start-kernel /opt/app-root/bin/start-kernel +COPY --chown=1001:0 ${SOURCE_CODE}/kernel-gpu.json /opt/app-root/share/jupyter/kernels/python3/kernel.json +COPY --chown=1001:0 ${SOURCE_CODE}/start-notebook.sh /opt/app-root/bin +COPY --chown=1001:0 ${SOURCE_CODE}/builder /opt/app-root/builder +COPY --chown=1001:0 ${REUSABLE_UTILS} /opt/app-root/bin/utils #CPU env ENV CPU_ENV=/opt/app-root-cpu ENV GPU_ENV=/opt/app-root -COPY --chown=1001:0 Pipfile.lock.cpu ${CPU_ENV}/Pipfile.lock +COPY --chown=1001:0 ${SOURCE_CODE}/Pipfile.lock.cpu ${CPU_ENV}/Pipfile.lock WORKDIR ${CPU_ENV} RUN python3.11 -m venv ${CPU_ENV} && \ @@ -69,7 +72,7 @@ RUN python3.11 -m venv ${CPU_ENV} && \ # Apply JupyterLab addons /opt/app-root/bin/utils/addons/apply.sh -COPY --chown=1001:0 kernel-cpu.json /opt/app-root/share/jupyter/kernels/pytorch-cpu/kernel.json +COPY --chown=1001:0 ${SOURCE_CODE}/kernel-cpu.json /opt/app-root/share/jupyter/kernels/pytorch-cpu/kernel.json WORKDIR /opt/app-root/src diff --git a/jupyter/intel/pytorch/ubi9-python-3.11/utils/addons/apply.sh b/jupyter/intel/pytorch/ubi9-python-3.11/utils/addons/apply.sh deleted file mode 100755 index f8ed27a64..000000000 --- a/jupyter/intel/pytorch/ubi9-python-3.11/utils/addons/apply.sh +++ /dev/null @@ -1,40 +0,0 @@ -#!/bin/bash - -# See https://github.com/jupyterlab/jupyterlab/issues/5463 -# This is a hack to apply partial HTML code to JupyterLab's `index.html` file -# Look for the other duplicates in case a change is needed to this file - -script_dir="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)" - -pf_url="https://unpkg.com/@patternfly/patternfly@6.0.0/patternfly.min.css" - -static_dir="/opt/app-root/share/jupyter/lab/static" -index_file="$static_dir/index.html" - -head_file="$script_dir/partial-head.html" -body_file="$script_dir/partial-body.html" - -if [ ! -f "$index_file" ]; then - echo "File '$index_file' not found" - exit 1 -fi - -if [ ! -f "$head_file" ]; then - echo "File '$head_file' not found" - exit 1 -fi - -if [ ! -f "$body_file" ]; then - echo "File '$body_file' not found" - exit 1 -fi - -curl -o "$static_dir/pf.css" "$pf_url" - -head_content=$(tr -d '\n' <"$head_file" | sed 's/@/\\@/g') -body_content=$(tr -d '\n' <"$body_file" | sed 's/@/\\@/g') - -perl -i -0pe "s||$head_content\n|" "$index_file" -perl -i -0pe "s||$body_content\n|" "$index_file" - -echo "Content from partial HTML files successfully injected into JupyterLab's 'index.html' file" diff --git a/jupyter/intel/pytorch/ubi9-python-3.11/utils/addons/partial-body.html b/jupyter/intel/pytorch/ubi9-python-3.11/utils/addons/partial-body.html deleted file mode 100644 index 642b32f6a..000000000 --- a/jupyter/intel/pytorch/ubi9-python-3.11/utils/addons/partial-body.html +++ /dev/null @@ -1,23 +0,0 @@ -
- -
- - diff --git a/jupyter/intel/pytorch/ubi9-python-3.11/utils/addons/partial-head.html b/jupyter/intel/pytorch/ubi9-python-3.11/utils/addons/partial-head.html deleted file mode 100644 index 4b251d275..000000000 --- a/jupyter/intel/pytorch/ubi9-python-3.11/utils/addons/partial-head.html +++ /dev/null @@ -1,14 +0,0 @@ - - diff --git a/jupyter/intel/pytorch/ubi9-python-3.11/utils/process.sh b/jupyter/intel/pytorch/ubi9-python-3.11/utils/process.sh deleted file mode 100644 index 4da716a9f..000000000 --- a/jupyter/intel/pytorch/ubi9-python-3.11/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/intel/pytorch/ubi9-python-3.9/Dockerfile b/jupyter/intel/pytorch/ubi9-python-3.9/Dockerfile deleted file mode 100644 index 2fdb50274..000000000 --- a/jupyter/intel/pytorch/ubi9-python-3.9/Dockerfile +++ /dev/null @@ -1,77 +0,0 @@ -ARG BASE_IMAGE -FROM ${BASE_IMAGE} - -LABEL name="odh-notebook-jupyter-intel-pytorch-ubi9-python-3.9" \ - summary="Jupyter Intel® optimized pytorch notebook image for ODH notebooks." \ - description="Jupyter Intel® pytorch notebook image with base Python 3.9 builder image based on UBI9 for ODH notebooks" \ - io.k8s.display-name="Jupyter Intel® optimized pytorch notebook image for ODH notebooks." \ - io.k8s.description="Jupyter Intel® optimized pytorch notebook image with base Python 3.9 builder image based on UBI9 for ODH notebooks" \ - authoritative-source-url="https://github.com/opendatahub-io/notebooks" \ - io.openshift.build.commit.ref="main" \ - io.openshift.build.source-location="https://github.com/opendatahub-io/notebooks/tree/main/jupyter/intel/pytorch/ubi9-python-3.9" \ - io.openshift.build.image="quay.io/opendatahub/workbench-images:jupyter-intel-pytorch-ubi9-python-3.9" - -USER root - -ARG ONEAPI_VERSION=2024.0 -COPY oneAPI.repo /etc/yum.repos.d/oneAPI.repo - -RUN dnf update -y && \ - dnf install -y intel-oneapi-compiler-dpcpp-cpp-runtime-${ONEAPI_VERSION} \ - intel-oneapi-mkl-${ONEAPI_VERSION} \ - intel-oneapi-dnnl-${ONEAPI_VERSION} && \ - dnf clean all -y && \ - rm -rf /var/cache/dnf/* && \ - rm /etc/yum.repos.d/oneAPI.repo - -USER 1001 - -WORKDIR /opt/app-root/bin - -# Install Python packages and Jupyterlab extensions from Pipfile.lock -COPY Pipfile.lock.gpu Pipfile.lock - -RUN echo "Installing softwares and packages" && \ - micropipenv install && \ - rm -f ./Pipfile.lock && \ - # Disable announcement plugin of jupyterlab \ - jupyter labextension disable "@jupyterlab/apputils-extension:announcements" && \ - chmod -R g+w /opt/app-root/lib/python3.9/site-packages && \ - fix-permissions /opt/app-root -P - -#Replacing kernel manually with oneapi variable setting script -COPY --chown=1001:0 start-kernel /opt/app-root/bin/start-kernel -COPY --chown=1001:0 kernel-gpu.json /opt/app-root/share/jupyter/kernels/python3/kernel.json -COPY --chown=1001:0 start-notebook.sh /opt/app-root/bin -COPY --chown=1001:0 builder /opt/app-root/builder -COPY --chown=1001:0 utils /opt/app-root/bin/utils - -#CPU env -ENV CPU_ENV=/opt/app-root-cpu -ENV GPU_ENV=/opt/app-root -COPY --chown=1001:0 Pipfile.lock.cpu ${CPU_ENV}/Pipfile.lock - -WORKDIR ${CPU_ENV} -RUN python3.9 -m venv ${CPU_ENV} && \ - chown -R 1001:0 ${CPU_ENV} && \ - fix-permissions ${CPU_ENV} -P && \ - source ${CPU_ENV}/bin/activate && \ - pip install --no-cache-dir -U "micropipenv[toml]" && \ - micropipenv install && \ - rm -f ./Pipfile.lock && \ - python -m ipykernel install --prefix=/opt/app-root --name 'pytorch-cpu' --display-name='pytorch-cpu' && \ - # Disable announcement plugin of jupyterlab \ - jupyter labextension disable "@jupyterlab/apputils-extension:announcements" && \ - chmod -R g+w ${CPU_ENV}/lib/python3.9/site-packages && \ - fix-permissions ${CPU_ENV} -P && \ - chmod -R g+w /opt/app-root/src && \ - # Apply JupyterLab addons - /opt/app-root/bin/utils/addons/apply.sh - -COPY --chown=1001:0 kernel-cpu.json /opt/app-root/share/jupyter/kernels/pytorch-cpu/kernel.json - -WORKDIR /opt/app-root/src - -ENV JUPYTER_PRELOAD_REPOS="https://github.com/IntelAI/oneAPI-samples" -ENV REPO_BRANCH="main" -ENTRYPOINT ["bash", "-c", "/opt/app-root/builder/run"] diff --git a/jupyter/intel/pytorch/ubi9-python-3.9/Pipfile.cpu b/jupyter/intel/pytorch/ubi9-python-3.9/Pipfile.cpu deleted file mode 100644 index 78fd851c7..000000000 --- a/jupyter/intel/pytorch/ubi9-python-3.9/Pipfile.cpu +++ /dev/null @@ -1,65 +0,0 @@ -[[source]] -url = "https://pypi.org/simple" -verify_ssl = true -name = "pypi" - -[[source]] -url = "https://download.pytorch.org/whl/cpu" -verify_ssl = true -name = "torch-cpu" - -[[source]] -url = "https://pytorch-extension.intel.com/release-whl/stable/cpu/us/" -verify_ssl = true -name = "ipex-cpu" - -[packages] -# PyTorch packages -torch = {version="==2.1.2", index="torch-cpu"} -intel-extension-for-pytorch = {version="==2.1.100", index="ipex-cpu"} -torchvision = {version="0.16.2", index="torch-cpu"} -torchaudio = {version="2.1.2", index="torch-cpu"} -neural-compressor = {version="2.4.1"} -tensorboard = {version="*"} - -# LLM Packages -datasets = {version="*"} -transformers = {version="*"} -evaluate = {version="*"} - -# Datascience and useful extensions -cloud-data-connector = {version="*"} -kafka-python = "~=2.0.2" -matplotlib = "~=3.6.3" -pandas = "~=1.5.3" -plotly = "~=5.16.1" -scikit-learn = "*" -scipy = "~=1.11.2" -skl2onnx = "~=1.15.0" -codeflare-sdk = "~=0.13.0" - -# DB connectors -pymongo = "~=4.5.0" -psycopg = "~=3.1.10" -pyodbc = "~=4.0.39" -mysql-connector-python = "~=8.0.33" - -# JupyterLab packages -elyra-pipeline-editor-extension = "~=3.15.0" -elyra-python-editor-extension = "~=3.15.0" -elyra-code-snippet-extension = "~=3.15.0" -kfp-tekton = "<1.6.0" -jupyterlab = "~=3.6.5" -jupyter-bokeh = "~=3.0.7" -jupyter-server = "~=2.7.3" -jupyter-server-proxy = "~=4.0.0" -jupyter-server-terminals = "~=0.4.4" -jupyterlab-git = "~=0.42.0" -jupyterlab-lsp = "~=4.2.0" -jupyterlab-widgets = "~=3.0.8" -jupyter-resource-usage = "~=1.0.1" -nbdime = "~=3.2.1" -nbgitpuller = "~=1.2.0" - -[requires] -python_version = "3.9" diff --git a/jupyter/intel/pytorch/ubi9-python-3.9/Pipfile.gpu b/jupyter/intel/pytorch/ubi9-python-3.9/Pipfile.gpu deleted file mode 100644 index fc975b5f4..000000000 --- a/jupyter/intel/pytorch/ubi9-python-3.9/Pipfile.gpu +++ /dev/null @@ -1,60 +0,0 @@ -[[source]] -url = "https://pypi.org/simple" -verify_ssl = true -name = "pypi" - -[[source]] -url = "https://pytorch-extension.intel.com/release-whl/stable/xpu/us/" -verify_ssl = true -name = "ipex-xpu" - -[packages] -# PyTorch packages -torch = {version="==2.1.0a0", index="ipex-xpu"} -intel_extension_for_pytorch = {version="==2.1.10+xpu", index="ipex-xpu"} -torchvision = {version="0.16.0a0", index="ipex-xpu"} -torchaudio = {version="2.1.0a0", index="ipex-xpu"} -neural-compressor = {version="2.4.1"} -tensorboard = {version="*"} - -# LLM Packages -datasets = {version="*"} -transformers = {version="*"} -evaluate = {version="*"} - -# Datascience and useful extensions -cloud-data-connector = {version="*"} -kafka-python = "~=2.0.2" -matplotlib = "~=3.6.3" -pandas = "~=1.5.3" -plotly = "~=5.16.1" -scikit-learn = "*" -scipy = "~=1.11.2" -skl2onnx = "~=1.15.0" -codeflare-sdk = "~=0.13.0" - -# DB connectors -pymongo = "~=4.5.0" -psycopg = "~=3.1.10" -pyodbc = "~=4.0.39" -mysql-connector-python = "~=8.0.33" - -# JupyterLab packages -elyra-pipeline-editor-extension = "~=3.15.0" -elyra-python-editor-extension = "~=3.15.0" -elyra-code-snippet-extension = "~=3.15.0" -kfp-tekton = "<1.6.0" -jupyterlab = "~=3.6.5" -jupyter-bokeh = "~=3.0.7" -jupyter-server = "~=2.7.3" -jupyter-server-proxy = "~=4.0.0" -jupyter-server-terminals = "~=0.4.4" -jupyterlab-git = "~=0.42.0" -jupyterlab-lsp = "~=4.2.0" -jupyterlab-widgets = "~=3.0.8" -jupyter-resource-usage = "~=1.0.1" -nbdime = "~=3.2.1" -nbgitpuller = "~=1.2.0" - -[requires] -python_version = "3.9" diff --git a/jupyter/intel/pytorch/ubi9-python-3.9/Pipfile.lock.cpu b/jupyter/intel/pytorch/ubi9-python-3.9/Pipfile.lock.cpu deleted file mode 100644 index 0be87d855..000000000 --- a/jupyter/intel/pytorch/ubi9-python-3.9/Pipfile.lock.cpu +++ /dev/null @@ -1,5098 +0,0 @@ -{ - 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for repo in `echo ${JUPYTER_PRELOAD_REPOS} | tr ',' ' '`; do - # Check for the presence of "@branch" in the repo string - REPO_BRANCH=$(echo ${repo} | cut -s -d'@' -f2) - if [[ -n ${REPO_BRANCH} ]]; then - # Remove the branch from the repo string and convert REPO_BRANCH to git clone arg - repo=$(echo ${repo} | cut -d'@' -f1) - REPO_BRANCH="-b ${REPO_BRANCH}" - fi - echo "Checking if repository $repo exists locally" - REPO_DIR=$(basename ${repo}) - if [ -d "${REPO_DIR}" ]; then - pushd ${REPO_DIR} - # Do nothing if the repo already exists - echo "The ${repo} has already been cloned" - : - popd - else - GIT_SSL_NO_VERIFY=true git clone ${repo} ${REPO_DIR} ${REPO_BRANCH} - fi - done -fi - -${APP_ROOT}/bin/start-notebook.sh "$@" diff --git a/jupyter/intel/pytorch/ubi9-python-3.9/kernel-cpu.json b/jupyter/intel/pytorch/ubi9-python-3.9/kernel-cpu.json deleted file mode 100644 index e506dae3c..000000000 --- a/jupyter/intel/pytorch/ubi9-python-3.9/kernel-cpu.json +++ /dev/null @@ -1,13 +0,0 @@ -{ - "argv": [ - "/opt/app-root/bin/start-kernel", - "-f", - "{connection_file}" - ], - "env": {"JUPYTER_ENV":"/opt/app-root-cpu"}, - "display_name": "pytorch-cpu", - "language": "python", - "metadata": { - "debugger": true - } -} \ No newline at end of file diff --git a/jupyter/intel/pytorch/ubi9-python-3.9/kernel-gpu.json b/jupyter/intel/pytorch/ubi9-python-3.9/kernel-gpu.json deleted file mode 100644 index 34c24d81c..000000000 --- a/jupyter/intel/pytorch/ubi9-python-3.9/kernel-gpu.json +++ /dev/null @@ -1,13 +0,0 @@ -{ - "argv": [ - "/opt/app-root/bin/start-kernel", - "-f", - "{connection_file}" - ], - "env": {"JUPYTER_ENV":"/opt/app-root"}, - "display_name": "pytorch-gpu", - "language": "python", - "metadata": { - "debugger": true - } -} \ No newline at end of file diff --git a/jupyter/intel/pytorch/ubi9-python-3.9/kustomize/base/kustomization.yaml b/jupyter/intel/pytorch/ubi9-python-3.9/kustomize/base/kustomization.yaml deleted file mode 100644 index fa99e063a..000000000 --- a/jupyter/intel/pytorch/ubi9-python-3.9/kustomize/base/kustomization.yaml +++ /dev/null @@ -1,13 +0,0 @@ ---- -apiVersion: kustomize.config.k8s.io/v1beta1 -kind: Kustomization -namePrefix: jupyter-intel-pytorch-ubi9-python-3-9- -commonLabels: - app: jupyter-intel-pytorch-ubi9-python-3-9 -resources: - - service.yaml - - statefulset.yaml -images: - - name: quay.io/opendatahub/workbench-images - newName: quay.io/opendatahub/workbench-images - newTag: jupyter-intel-pytorch-ubi9-python-3.9 diff --git a/jupyter/intel/pytorch/ubi9-python-3.9/kustomize/base/service.yaml b/jupyter/intel/pytorch/ubi9-python-3.9/kustomize/base/service.yaml deleted file mode 100644 index d6f7128e8..000000000 --- a/jupyter/intel/pytorch/ubi9-python-3.9/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/intel/pytorch/ubi9-python-3.9/kustomize/base/statefulset.yaml b/jupyter/intel/pytorch/ubi9-python-3.9/kustomize/base/statefulset.yaml deleted file mode 100644 index 6508f7e56..000000000 --- a/jupyter/intel/pytorch/ubi9-python-3.9/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:intel-jupyter-pytorch-ubi9-python-3.9 - 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/intel/pytorch/ubi9-python-3.9/oneAPI.repo b/jupyter/intel/pytorch/ubi9-python-3.9/oneAPI.repo deleted file mode 100644 index 1d24ea25f..000000000 --- a/jupyter/intel/pytorch/ubi9-python-3.9/oneAPI.repo +++ /dev/null @@ -1,7 +0,0 @@ -[oneAPI] -name=Intel® oneAPI repository -baseurl=https://yum.repos.intel.com/oneapi -enabled=1 -gpgcheck=1 -repo_gpgcheck=1 -gpgkey=https://yum.repos.intel.com/intel-gpg-keys/GPG-PUB-KEY-INTEL-SW-PRODUCTS.PUB \ No newline at end of file diff --git a/jupyter/intel/pytorch/ubi9-python-3.9/start-kernel b/jupyter/intel/pytorch/ubi9-python-3.9/start-kernel deleted file mode 100755 index 7ba54a21e..000000000 --- a/jupyter/intel/pytorch/ubi9-python-3.9/start-kernel +++ /dev/null @@ -1,5 +0,0 @@ -#!/bin/bash - -source /opt/intel/oneapi/setvars.sh - -exec ${JUPYTER_ENV}/bin/python -m ipykernel_launcher $@ diff --git a/jupyter/intel/pytorch/ubi9-python-3.9/start-notebook.sh b/jupyter/intel/pytorch/ubi9-python-3.9/start-notebook.sh deleted file mode 100755 index f165c7de8..000000000 --- a/jupyter/intel/pytorch/ubi9-python-3.9/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/intel/pytorch/ubi9-python-3.9/test/test_notebook.ipynb b/jupyter/intel/pytorch/ubi9-python-3.9/test/test_notebook.ipynb deleted file mode 100644 index 13c5e964f..000000000 --- a/jupyter/intel/pytorch/ubi9-python-3.9/test/test_notebook.ipynb +++ /dev/null @@ -1,80 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": null, - "id": "d7c20d9e-068d-4e48-8f0d-46919c19f450", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "import unittest\n", - "from unittest import mock\n", - "from platform import python_version\n", - "import torch\n", - "import intel_extension_for_pytorch as ipex\n", - "import torchvision\n", - "import torchaudio\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 = '3.9'\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_ipex_version(self):\n", - " expected_major_minor = '2.1'\n", - " actual_major_minor = get_major_minor(torch.__version__)\n", - " self.assertEqual(actual_major_minor, expected_major_minor, \"incorrect version\")\n", - " \n", - " def test_ipex_mode(self):\n", - " expected_mode = 'xpu'\n", - " actual_mode = ipex.__version__.split('+')[1]\n", - " self.assertEqual(actual_mode, expected_mode, \"incorrect mode\")\n", - " \n", - " def test_torch_version(self):\n", - " expected_major_minor = '2.1'\n", - " actual_major_minor = get_major_minor(ipex.__version__)\n", - " self.assertEqual(actual_major_minor, expected_major_minor, \"incorrect version\")\n", - " \n", - " def test_torchvision_version(self):\n", - " expected_major_minor = '0.16'\n", - " actual_major_minor = get_major_minor(torchvision.__version__)\n", - " self.assertEqual(actual_major_minor, expected_major_minor, \"incorrect version\")\n", - "\n", - " def test_torchvision_version(self):\n", - " expected_major_minor = '2.1'\n", - " actual_major_minor = get_major_minor(torchaudio.__version__)\n", - " self.assertEqual(actual_major_minor, expected_major_minor, \"incorrect version\")\n", - "\n", - "unittest.main(argv=[''], verbosity=2, exit=False)" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "pytorch-gpu", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.9.18" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/jupyter/intel/pytorch/ubi9-python-3.9/test/test_notebook_cpu.ipynb b/jupyter/intel/pytorch/ubi9-python-3.9/test/test_notebook_cpu.ipynb deleted file mode 100644 index 4d235ab2e..000000000 --- a/jupyter/intel/pytorch/ubi9-python-3.9/test/test_notebook_cpu.ipynb +++ /dev/null @@ -1,79 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "import unittest\n", - "from unittest import mock\n", - "from platform import python_version\n", - "import torch\n", - "import intel_extension_for_pytorch as ipex\n", - "import torchvision\n", - "import torchaudio\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 = '3.9'\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_ipex_version(self):\n", - " expected_major_minor = '2.1'\n", - " actual_major_minor = get_major_minor(torch.__version__)\n", - " self.assertEqual(actual_major_minor, expected_major_minor, \"incorrect version\")\n", - " \n", - " def test_ipex_mode(self):\n", - " expected_mode = 'cpu'\n", - " actual_mode = ipex.__version__.split('+')[1]\n", - " self.assertEqual(actual_mode, expected_mode, \"incorrect mode\")\n", - " \n", - " def test_torch_version(self):\n", - " expected_major_minor = '2.1'\n", - " actual_major_minor = get_major_minor(ipex.__version__)\n", - " self.assertEqual(actual_major_minor, expected_major_minor, \"incorrect version\")\n", - " \n", - " def test_torchvision_version(self):\n", - " expected_major_minor = '0.16'\n", - " actual_major_minor = get_major_minor(torchvision.__version__)\n", - " self.assertEqual(actual_major_minor, expected_major_minor, \"incorrect version\")\n", - "\n", - " def test_torchvision_version(self):\n", - " expected_major_minor = '2.1'\n", - " actual_major_minor = get_major_minor(torchaudio.__version__)\n", - " self.assertEqual(actual_major_minor, expected_major_minor, \"incorrect version\")\n", - "\n", - "unittest.main(argv=[''], verbosity=2, exit=False)" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "pytorch-cpu", - "language": "python", - "name": "pytorch-cpu" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.9.18" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/jupyter/intel/pytorch/ubi9-python-3.9/utils/addons/apply.sh b/jupyter/intel/pytorch/ubi9-python-3.9/utils/addons/apply.sh deleted file mode 100755 index f8ed27a64..000000000 --- a/jupyter/intel/pytorch/ubi9-python-3.9/utils/addons/apply.sh +++ /dev/null @@ -1,40 +0,0 @@ -#!/bin/bash - -# See https://github.com/jupyterlab/jupyterlab/issues/5463 -# This is a hack to apply partial HTML code to JupyterLab's `index.html` file -# Look for the other duplicates in case a change is needed to this file - -script_dir="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)" - -pf_url="https://unpkg.com/@patternfly/patternfly@6.0.0/patternfly.min.css" - -static_dir="/opt/app-root/share/jupyter/lab/static" -index_file="$static_dir/index.html" - -head_file="$script_dir/partial-head.html" -body_file="$script_dir/partial-body.html" - -if [ ! -f "$index_file" ]; then - echo "File '$index_file' not found" - exit 1 -fi - -if [ ! -f "$head_file" ]; then - echo "File '$head_file' not found" - exit 1 -fi - -if [ ! -f "$body_file" ]; then - echo "File '$body_file' not found" - exit 1 -fi - -curl -o "$static_dir/pf.css" "$pf_url" - -head_content=$(tr -d '\n' <"$head_file" | sed 's/@/\\@/g') -body_content=$(tr -d '\n' <"$body_file" | sed 's/@/\\@/g') - -perl -i -0pe "s||$head_content\n|" "$index_file" -perl -i -0pe "s||$body_content\n|" "$index_file" - -echo "Content from partial HTML files successfully injected into JupyterLab's 'index.html' file" diff --git a/jupyter/intel/pytorch/ubi9-python-3.9/utils/addons/partial-body.html b/jupyter/intel/pytorch/ubi9-python-3.9/utils/addons/partial-body.html deleted file mode 100644 index 642b32f6a..000000000 --- a/jupyter/intel/pytorch/ubi9-python-3.9/utils/addons/partial-body.html +++ /dev/null @@ -1,23 +0,0 @@ -
- -
- - diff --git a/jupyter/intel/pytorch/ubi9-python-3.9/utils/addons/partial-head.html b/jupyter/intel/pytorch/ubi9-python-3.9/utils/addons/partial-head.html deleted file mode 100644 index 4b251d275..000000000 --- a/jupyter/intel/pytorch/ubi9-python-3.9/utils/addons/partial-head.html +++ /dev/null @@ -1,14 +0,0 @@ - - diff --git a/jupyter/intel/pytorch/ubi9-python-3.9/utils/process.sh b/jupyter/intel/pytorch/ubi9-python-3.9/utils/process.sh deleted file mode 100644 index 4da716a9f..000000000 --- a/jupyter/intel/pytorch/ubi9-python-3.9/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/intel/tensorflow/ubi9-python-3.11/Dockerfile b/jupyter/intel/tensorflow/ubi9-python-3.11/Dockerfile index eb762f5c3..a05de20ae 100644 --- a/jupyter/intel/tensorflow/ubi9-python-3.11/Dockerfile +++ b/jupyter/intel/tensorflow/ubi9-python-3.11/Dockerfile @@ -1,6 +1,9 @@ ARG BASE_IMAGE FROM ${BASE_IMAGE} +ARG REUSABLE_UTILS=jupyter/utils +ARG SOURCE_CODE=jupyter/intel/tensorflow/ubi9-python-3.11 + LABEL name="odh-notebook-jupyter-intel-tensorflow-ubi9-python-3.11" \ summary="Jupyter Intel® optimized TensorFlow notebook image for ODH notebooks." \ description="Jupyter Intel® TensorFlow notebook image with base Python 3.11 builder image based on UBI9 for ODH notebooks" \ @@ -14,7 +17,7 @@ LABEL name="odh-notebook-jupyter-intel-tensorflow-ubi9-python-3.11" \ USER root ARG ONEAPI_VERSION=2024.0 -COPY oneAPI.repo /etc/yum.repos.d/oneAPI.repo +COPY ${SOURCE_CODE}/oneAPI.repo /etc/yum.repos.d/oneAPI.repo RUN dnf update -y && \ dnf install -y intel-oneapi-compiler-dpcpp-cpp-runtime-${ONEAPI_VERSION} \ @@ -29,7 +32,7 @@ USER 1001 WORKDIR /opt/app-root/bin # Install Python packages and Jupyterlab extensions from Pipfile.lock -COPY Pipfile.lock.gpu Pipfile.lock +COPY ${SOURCE_CODE}/Pipfile.lock.gpu Pipfile.lock RUN unlink /opt/app-root/lib64 && \ cp -r /opt/app-root/lib /opt/app-root/lib64 && \ @@ -42,16 +45,16 @@ RUN unlink /opt/app-root/lib64 && \ fix-permissions /opt/app-root -P #Replacing kernel manually with oneapi variable setting script -COPY --chown=1001:0 start-kernel /opt/app-root/bin/start-kernel -COPY --chown=1001:0 kernel-gpu.json /opt/app-root/share/jupyter/kernels/python3/kernel.json -COPY --chown=1001:0 start-notebook.sh /opt/app-root/bin -COPY --chown=1001:0 builder /opt/app-root/builder -COPY --chown=1001:0 utils /opt/app-root/bin/utils +COPY --chown=1001:0 ${SOURCE_CODE}/start-kernel /opt/app-root/bin/start-kernel +COPY --chown=1001:0 ${SOURCE_CODE}/kernel-gpu.json /opt/app-root/share/jupyter/kernels/python3/kernel.json +COPY --chown=1001:0 ${SOURCE_CODE}/start-notebook.sh /opt/app-root/bin +COPY --chown=1001:0 ${SOURCE_CODE}/builder /opt/app-root/builder +COPY --chown=1001:0 ${REUSABLE_UTILS} /opt/app-root/bin/utils #CPU env ENV CPU_ENV=/opt/app-root-cpu ENV GPU_ENV=/opt/app-root -COPY --chown=1001:0 Pipfile.lock.cpu ${CPU_ENV}/Pipfile.lock +COPY --chown=1001:0 ${SOURCE_CODE}/Pipfile.lock.cpu ${CPU_ENV}/Pipfile.lock WORKDIR ${CPU_ENV} @@ -73,7 +76,7 @@ RUN python3.11 -m venv ${CPU_ENV} && \ # Apply JupyterLab addons /opt/app-root/bin/utils/addons/apply.sh -COPY --chown=1001:0 kernel-cpu.json /opt/app-root/share/jupyter/kernels/tensorflow-cpu/kernel.json +COPY --chown=1001:0 ${SOURCE_CODE}/kernel-cpu.json /opt/app-root/share/jupyter/kernels/tensorflow-cpu/kernel.json WORKDIR /opt/app-root/src diff --git a/jupyter/intel/tensorflow/ubi9-python-3.11/utils/addons/apply.sh b/jupyter/intel/tensorflow/ubi9-python-3.11/utils/addons/apply.sh deleted file mode 100755 index f8ed27a64..000000000 --- a/jupyter/intel/tensorflow/ubi9-python-3.11/utils/addons/apply.sh +++ /dev/null @@ -1,40 +0,0 @@ -#!/bin/bash - -# See https://github.com/jupyterlab/jupyterlab/issues/5463 -# This is a hack to apply partial HTML code to JupyterLab's `index.html` file -# Look for the other duplicates in case a change is needed to this file - -script_dir="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)" - -pf_url="https://unpkg.com/@patternfly/patternfly@6.0.0/patternfly.min.css" - -static_dir="/opt/app-root/share/jupyter/lab/static" -index_file="$static_dir/index.html" - -head_file="$script_dir/partial-head.html" -body_file="$script_dir/partial-body.html" - -if [ ! -f "$index_file" ]; then - echo "File '$index_file' not found" - exit 1 -fi - -if [ ! -f "$head_file" ]; then - echo "File '$head_file' not found" - exit 1 -fi - -if [ ! -f "$body_file" ]; then - echo "File '$body_file' not found" - exit 1 -fi - -curl -o "$static_dir/pf.css" "$pf_url" - -head_content=$(tr -d '\n' <"$head_file" | sed 's/@/\\@/g') -body_content=$(tr -d '\n' <"$body_file" | sed 's/@/\\@/g') - -perl -i -0pe "s||$head_content\n|" "$index_file" -perl -i -0pe "s||$body_content\n|" "$index_file" - -echo "Content from partial HTML files successfully injected into JupyterLab's 'index.html' file" diff --git a/jupyter/intel/tensorflow/ubi9-python-3.11/utils/addons/partial-body.html b/jupyter/intel/tensorflow/ubi9-python-3.11/utils/addons/partial-body.html deleted file mode 100644 index 642b32f6a..000000000 --- a/jupyter/intel/tensorflow/ubi9-python-3.11/utils/addons/partial-body.html +++ /dev/null @@ -1,23 +0,0 @@ -
- -
- - diff --git a/jupyter/intel/tensorflow/ubi9-python-3.11/utils/addons/partial-head.html b/jupyter/intel/tensorflow/ubi9-python-3.11/utils/addons/partial-head.html deleted file mode 100644 index 4b251d275..000000000 --- a/jupyter/intel/tensorflow/ubi9-python-3.11/utils/addons/partial-head.html +++ /dev/null @@ -1,14 +0,0 @@ - - diff --git a/jupyter/intel/tensorflow/ubi9-python-3.11/utils/process.sh b/jupyter/intel/tensorflow/ubi9-python-3.11/utils/process.sh deleted file mode 100644 index 4da716a9f..000000000 --- a/jupyter/intel/tensorflow/ubi9-python-3.11/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/intel/tensorflow/ubi9-python-3.9/Dockerfile b/jupyter/intel/tensorflow/ubi9-python-3.9/Dockerfile deleted file mode 100644 index 83e4b619b..000000000 --- a/jupyter/intel/tensorflow/ubi9-python-3.9/Dockerfile +++ /dev/null @@ -1,83 +0,0 @@ -ARG BASE_IMAGE -FROM ${BASE_IMAGE} - -LABEL name="odh-notebook-jupyter-intel-tensorflow-ubi9-python-3.9" \ - summary="Jupyter Intel® optimized TensorFlow notebook image for ODH notebooks." \ - description="Jupyter Intel® TensorFlow notebook image with base Python 3.9 builder image based on UBI9 for ODH notebooks" \ - io.k8s.display-name="Jupyter Intel® optimized TensorFlow notebook image for ODH notebooks." \ - io.k8s.description="Jupyter Intel® optimized TensorFlow notebook image with base Python 3.9 builder image based on UBI9 for ODH notebooks" \ - authoritative-source-url="https://github.com/opendatahub-io/notebooks" \ - io.openshift.build.commit.ref="main" \ - io.openshift.build.source-location="https://github.com/opendatahub-io/notebooks/tree/main/jupyter/intel/tensorflow/ubi9-python-3.9" \ - io.openshift.build.image="quay.io/opendatahub/workbench-images:jupyter-intel-tensorflow-ubi9-python-3.9" - -USER root - -ARG ONEAPI_VERSION=2024.0 -COPY oneAPI.repo /etc/yum.repos.d/oneAPI.repo - -RUN dnf update -y && \ - dnf install -y intel-oneapi-compiler-dpcpp-cpp-runtime-${ONEAPI_VERSION} \ - intel-oneapi-mkl-${ONEAPI_VERSION} \ - intel-oneapi-dnnl-${ONEAPI_VERSION} && \ - dnf clean all -y && \ - rm -rf /var/cache/dnf/* && \ - rm /etc/yum.repos.d/oneAPI.repo - -USER 1001 - -WORKDIR /opt/app-root/bin - -# Install Python packages and Jupyterlab extensions from Pipfile.lock -COPY Pipfile.lock.gpu Pipfile.lock - -RUN unlink /opt/app-root/lib64 && \ - cp -r /opt/app-root/lib /opt/app-root/lib64 && \ - echo "Installing softwares and packages" && \ - micropipenv install && \ - rm -f ./Pipfile.lock && \ - # Disable announcement plugin of jupyterlab \ - jupyter labextension disable "@jupyterlab/apputils-extension:announcements" && \ - chmod -R g+w /opt/app-root/lib/python3.9/site-packages && \ - fix-permissions /opt/app-root -P - -#Replacing kernel manually with oneapi variable setting script -COPY --chown=1001:0 start-kernel /opt/app-root/bin/start-kernel -COPY --chown=1001:0 kernel-gpu.json /opt/app-root/share/jupyter/kernels/python3/kernel.json -COPY --chown=1001:0 start-notebook.sh /opt/app-root/bin -COPY --chown=1001:0 builder /opt/app-root/builder -COPY --chown=1001:0 utils /opt/app-root/bin/utils - -#CPU env -ENV CPU_ENV=/opt/app-root-cpu -ENV GPU_ENV=/opt/app-root -COPY --chown=1001:0 Pipfile.lock.cpu ${CPU_ENV}/Pipfile.lock - -WORKDIR ${CPU_ENV} - -RUN python3.9 -m venv ${CPU_ENV} && \ - chown -R 1001:0 ${CPU_ENV} && \ - fix-permissions ${CPU_ENV} -P && \ - unlink ${CPU_ENV}/lib64 && \ - cp -r ${CPU_ENV}/lib ${CPU_ENV}/lib64 && \ - source ${CPU_ENV}/bin/activate && \ - pip install --no-cache-dir -U "micropipenv[toml]" && \ - micropipenv install && \ - rm -f ./Pipfile.lock && \ - python -m ipykernel install --prefix=/opt/app-root --name 'tensorflow-cpu' --display-name='tensorflow-cpu' && \ - # Disable announcement plugin of jupyterlab \ - jupyter labextension disable "@jupyterlab/apputils-extension:announcements" && \ - chmod -R g+w ${CPU_ENV}/lib/python3.9/site-packages && \ - fix-permissions ${CPU_ENV} -P && \ - chmod -R g+w /opt/app-root/src && \ - # Apply JupyterLab addons - /opt/app-root/bin/utils/addons/apply.sh - -COPY --chown=1001:0 kernel-cpu.json /opt/app-root/share/jupyter/kernels/tensorflow-cpu/kernel.json - -WORKDIR /opt/app-root/src - -ENV JUPYTER_PRELOAD_REPOS="https://github.com/IntelAI/oneAPI-samples" -ENV REPO_BRANCH="main" - -ENTRYPOINT ["bash", "-c", "/opt/app-root/builder/run"] diff --git a/jupyter/intel/tensorflow/ubi9-python-3.9/Pipfile.cpu b/jupyter/intel/tensorflow/ubi9-python-3.9/Pipfile.cpu deleted file mode 100644 index 8d81d8b2f..000000000 --- a/jupyter/intel/tensorflow/ubi9-python-3.9/Pipfile.cpu +++ /dev/null @@ -1,55 +0,0 @@ -[[source]] -url = "https://pypi.org/simple" -verify_ssl = true -name = "pypi" - -[packages] -# TensorFlow packages -tensorflow = {version="==2.14"} -"intel-extension-for-tensorflow[cpu]" = {version="==2.14"} -neural-compressor = {version="2.4.1"} -tensorboard = {version="*"} -tensorflow_hub = {version="*"} -tf2onnx = {version="*"} - -# LLM Packages -datasets = {version="*"} -transformers = {version="*"} -evaluate = {version="*"} - -# Datascience and useful extensions -cloud-data-connector = {version="*"} -kafka-python = "~=2.0.2" -matplotlib = "~=3.6.3" -pandas = "~=1.5.3" -plotly = "~=5.16.1" -scikit-learn = "*" -scipy = "~=1.11.2" -skl2onnx = "~=1.15.0" -codeflare-sdk = "~=0.13.0" - -# DB connectors -pymongo = "~=4.5.0" -psycopg = "~=3.1.10" -pyodbc = "~=4.0.39" -mysql-connector-python = "~=8.0.33" - -# JupyterLab packages -elyra-pipeline-editor-extension = "~=3.15.0" -elyra-python-editor-extension = "~=3.15.0" -elyra-code-snippet-extension = "~=3.15.0" -kfp-tekton = "<1.6.0" -jupyterlab = "~=3.6.5" -jupyter-bokeh = "~=3.0.7" -jupyter-server = "~=2.7.3" -jupyter-server-proxy = "~=4.0.0" -jupyter-server-terminals = "~=0.4.4" -jupyterlab-git = "~=0.42.0" -jupyterlab-lsp = "~=4.2.0" -jupyterlab-widgets = "~=3.0.8" -jupyter-resource-usage = "~=1.0.1" -nbdime = "~=3.2.1" -nbgitpuller = "~=1.2.0" - -[requires] -python_version = "3.9" diff --git a/jupyter/intel/tensorflow/ubi9-python-3.9/Pipfile.gpu b/jupyter/intel/tensorflow/ubi9-python-3.9/Pipfile.gpu deleted file mode 100644 index 3482b1a24..000000000 --- a/jupyter/intel/tensorflow/ubi9-python-3.9/Pipfile.gpu +++ /dev/null @@ -1,55 +0,0 @@ -[[source]] -url = "https://pypi.org/simple" -verify_ssl = true -name = "pypi" - -[packages] -# TensorFlow packages -tensorflow = {version="==2.14"} -"intel-extension-for-tensorflow[xpu]" = {version="==2.14"} -neural-compressor = {version="2.4.1"} -tensorboard = {version="*"} -tensorflow_hub = {version="*"} -tf2onnx = {version="*"} - -# LLM Packages -datasets = {version="*"} -transformers = {version="*"} -evaluate = {version="*"} - -# Datascience and useful extensions -cloud-data-connector = {version="*"} -kafka-python = "~=2.0.2" -matplotlib = "~=3.6.3" -pandas = "~=1.5.3" -plotly = "~=5.16.1" -scikit-learn = "*" -scipy = "~=1.11.2" -skl2onnx = "~=1.15.0" -codeflare-sdk = "~=0.13.0" - -# DB connectors -pymongo = "~=4.5.0" -psycopg = "~=3.1.10" -pyodbc = "~=4.0.39" -mysql-connector-python = "~=8.0.33" - -# JupyterLab packages -elyra-pipeline-editor-extension = "~=3.15.0" -elyra-python-editor-extension = "~=3.15.0" -elyra-code-snippet-extension = "~=3.15.0" -kfp-tekton = "<1.6.0" -jupyterlab = "~=3.6.5" -jupyter-bokeh = "~=3.0.7" -jupyter-server = "~=2.7.3" -jupyter-server-proxy = "~=4.0.0" -jupyter-server-terminals = "~=0.4.4" -jupyterlab-git = "~=0.42.0" -jupyterlab-lsp = "~=4.2.0" -jupyterlab-widgets = "~=3.0.8" -jupyter-resource-usage = "~=1.0.1" -nbdime = "~=3.2.1" -nbgitpuller = "~=1.2.0" - -[requires] -python_version = "3.9" diff --git a/jupyter/intel/tensorflow/ubi9-python-3.9/Pipfile.lock.cpu b/jupyter/intel/tensorflow/ubi9-python-3.9/Pipfile.lock.cpu deleted file mode 100644 index 6df276fee..000000000 --- a/jupyter/intel/tensorflow/ubi9-python-3.9/Pipfile.lock.cpu +++ /dev/null @@ -1,5222 +0,0 @@ -{ - "_meta": { - "hash": { - "sha256": "cb60e74bb78612cbcd0e5b65eea16590c9af1f0aac76fe029bcb4db342e76017" - }, - "pipfile-spec": 6, - "requires": { - "python_version": "3.9" - }, - "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" - }, - "adal": { - "hashes": [ - "sha256:2a7451ed7441ddbc57703042204a3e30ef747478eea022c70f789fc7f084bc3d", - "sha256:d74f45b81317454d96e982fd1c50e6fb5c99ac2223728aea8764433a39f566f1" - 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-set -x - -APP_ROOT=${APP_ROOT:-/opt/app-root} - -# Pre-clone repositories defined in JUPYTER_PRELOAD_REPOS -if [ -n "${JUPYTER_PRELOAD_REPOS}" ]; then - for repo in `echo ${JUPYTER_PRELOAD_REPOS} | tr ',' ' '`; do - # Check for the presence of "@branch" in the repo string - REPO_BRANCH=$(echo ${repo} | cut -s -d'@' -f2) - if [[ -n ${REPO_BRANCH} ]]; then - # Remove the branch from the repo string and convert REPO_BRANCH to git clone arg - repo=$(echo ${repo} | cut -d'@' -f1) - REPO_BRANCH="-b ${REPO_BRANCH}" - fi - echo "Checking if repository $repo exists locally" - REPO_DIR=$(basename ${repo}) - if [ -d "${REPO_DIR}" ]; then - pushd ${REPO_DIR} - # Do nothing if the repo already exists - echo "The ${repo} has already been cloned" - : - popd - else - GIT_SSL_NO_VERIFY=true git clone ${repo} ${REPO_DIR} ${REPO_BRANCH} - fi - done -fi - -${APP_ROOT}/bin/start-notebook.sh "$@" diff --git a/jupyter/intel/tensorflow/ubi9-python-3.9/kernel-cpu.json b/jupyter/intel/tensorflow/ubi9-python-3.9/kernel-cpu.json deleted file mode 100644 index b0f78e37e..000000000 --- a/jupyter/intel/tensorflow/ubi9-python-3.9/kernel-cpu.json +++ /dev/null @@ -1,13 +0,0 @@ -{ - "argv": [ - "/opt/app-root/bin/start-kernel", - "-f", - "{connection_file}" - ], - "env": {"JUPYTER_ENV":"/opt/app-root-cpu"}, - "display_name": "tensorflow-cpu", - "language": "python", - "metadata": { - "debugger": true - } -} \ No newline at end of file diff --git a/jupyter/intel/tensorflow/ubi9-python-3.9/kernel-gpu.json b/jupyter/intel/tensorflow/ubi9-python-3.9/kernel-gpu.json deleted file mode 100644 index c8a8614fc..000000000 --- a/jupyter/intel/tensorflow/ubi9-python-3.9/kernel-gpu.json +++ /dev/null @@ -1,13 +0,0 @@ -{ - "argv": [ - "/opt/app-root/bin/start-kernel", - "-f", - "{connection_file}" - ], - "env": {"JUPYTER_ENV":"/opt/app-root"}, - "display_name": "tensorflow-gpu", - "language": "python", - "metadata": { - "debugger": true - } -} \ No newline at end of file diff --git a/jupyter/intel/tensorflow/ubi9-python-3.9/kustomize/base/kustomization.yaml b/jupyter/intel/tensorflow/ubi9-python-3.9/kustomize/base/kustomization.yaml deleted file mode 100644 index cbab9bc07..000000000 --- a/jupyter/intel/tensorflow/ubi9-python-3.9/kustomize/base/kustomization.yaml +++ /dev/null @@ -1,13 +0,0 @@ ---- -apiVersion: kustomize.config.k8s.io/v1beta1 -kind: Kustomization -namePrefix: jupyter-intel-tensorflow-ubi9-python-3-9- -commonLabels: - app: jupyter-intel-tensorflow-ubi9-python-3-9 -resources: - - service.yaml - - statefulset.yaml -images: - - name: quay.io/opendatahub/workbench-images - newName: quay.io/opendatahub/workbench-images - newTag: jupyter-intel-tensorflow-ubi9-python-3.9 diff --git a/jupyter/intel/tensorflow/ubi9-python-3.9/kustomize/base/service.yaml b/jupyter/intel/tensorflow/ubi9-python-3.9/kustomize/base/service.yaml deleted file mode 100644 index d6f7128e8..000000000 --- a/jupyter/intel/tensorflow/ubi9-python-3.9/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/intel/tensorflow/ubi9-python-3.9/kustomize/base/statefulset.yaml b/jupyter/intel/tensorflow/ubi9-python-3.9/kustomize/base/statefulset.yaml deleted file mode 100644 index 8644572e9..000000000 --- a/jupyter/intel/tensorflow/ubi9-python-3.9/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:intel-jupyter-tensorflow-ubi9-python-3.9 - 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/intel/tensorflow/ubi9-python-3.9/oneAPI.repo b/jupyter/intel/tensorflow/ubi9-python-3.9/oneAPI.repo deleted file mode 100644 index 1d24ea25f..000000000 --- a/jupyter/intel/tensorflow/ubi9-python-3.9/oneAPI.repo +++ /dev/null @@ -1,7 +0,0 @@ -[oneAPI] -name=Intel® oneAPI repository -baseurl=https://yum.repos.intel.com/oneapi -enabled=1 -gpgcheck=1 -repo_gpgcheck=1 -gpgkey=https://yum.repos.intel.com/intel-gpg-keys/GPG-PUB-KEY-INTEL-SW-PRODUCTS.PUB \ No newline at end of file diff --git a/jupyter/intel/tensorflow/ubi9-python-3.9/start-kernel b/jupyter/intel/tensorflow/ubi9-python-3.9/start-kernel deleted file mode 100755 index 7ba54a21e..000000000 --- a/jupyter/intel/tensorflow/ubi9-python-3.9/start-kernel +++ /dev/null @@ -1,5 +0,0 @@ -#!/bin/bash - -source /opt/intel/oneapi/setvars.sh - -exec ${JUPYTER_ENV}/bin/python -m ipykernel_launcher $@ diff --git a/jupyter/intel/tensorflow/ubi9-python-3.9/start-notebook.sh b/jupyter/intel/tensorflow/ubi9-python-3.9/start-notebook.sh deleted file mode 100755 index f165c7de8..000000000 --- a/jupyter/intel/tensorflow/ubi9-python-3.9/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/intel/tensorflow/ubi9-python-3.9/test/test_notebook.ipynb b/jupyter/intel/tensorflow/ubi9-python-3.9/test/test_notebook.ipynb deleted file mode 100644 index 287509491..000000000 --- a/jupyter/intel/tensorflow/ubi9-python-3.9/test/test_notebook.ipynb +++ /dev/null @@ -1,119 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": null, - "id": "b59c36cf-f4f5-4d10-88f0-441a37f0a7f5", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "import unittest\n", - "import tensorflow as tf\n", - "import intel_extension_for_tensorflow as itex\n", - "import tensorboard\n", - "import tf2onnx\n", - "from platform import python_version\n", - "\n", - "class TestTensorflowNotebook(unittest.TestCase):\n", - " \n", - " def test_python_version(self):\n", - " expected_major_minor = '3.9' # Set the expected version (x.y)\n", - " actual_major_minor = '.'.join(python_version().split('.')[:2]) \n", - " self.assertEqual(actual_major_minor, expected_major_minor, \"incorrect version\")\n", - " \n", - " def test_tensorflow_version(self):\n", - " expected_major_minor = '2.14' # Set the expected version (x.y)\n", - " actual_major_minor = '.'.join(tf.__version__.split('.')[:2]) \n", - " self.assertEqual(actual_major_minor, expected_major_minor, \"incorrect version\")\n", - " \n", - " def test_itex_version(self):\n", - " expected_major_minor = '2.14' # Set the expected version (x.y)\n", - " actual_major_minor = '.'.join(itex.__version__.split('.')[:2]) \n", - " self.assertEqual(actual_major_minor, expected_major_minor, \"incorrect version\")\n", - " \n", - " def test_tf2onnx_conversion(self):\n", - " # Replace this with an actual TensorFlow model conversion using tf2onnx\n", - " model = tf.keras.Sequential([tf.keras.layers.Dense(1, input_shape=(10,))])\n", - " onnx_model = tf2onnx.convert.from_keras(model)\n", - " \n", - " self.assertTrue(onnx_model is not None)\n", - "\n", - " def test_mnist_model(self):\n", - " # A basic test from the official tensorflow webpage https://www.tensorflow.org/tutorials/quickstart/beginner\n", - " mnist = tf.keras.datasets.mnist\n", - " (x_train, y_train), (x_test, y_test) = mnist.load_data()\n", - " x_train, x_test = x_train / 255.0, x_test / 255.0\n", - " model = tf.keras.models.Sequential([\n", - " tf.keras.layers.Flatten(input_shape=(28, 28)),\n", - " tf.keras.layers.Dense(128, activation='relu'),\n", - " tf.keras.layers.Dropout(0.2),\n", - " tf.keras.layers.Dense(10)\n", - " ])\n", - " predictions = model(x_train[:1]).numpy()\n", - " predictions\n", - " tf.nn.softmax(predictions).numpy()\n", - " loss_fn = tf.keras.losses.SparseCategoricalCrossentropy(from_logits=True)\n", - " loss_fn(y_train[:1], predictions).numpy()\n", - " model.compile(optimizer='adam', loss=loss_fn, metrics=['accuracy'])\n", - " model.fit(x_train, y_train, epochs=5)\n", - " model.evaluate(x_test, y_test, verbose=2)\n", - " probability_model = tf.keras.Sequential([\n", - " model,\n", - " tf.keras.layers.Softmax()\n", - " ])\n", - " probability_model(x_test[:5])\n", - "\n", - " def test_tensorboard(self):\n", - " # Create a simple model\n", - " model = tf.keras.Sequential([\n", - " tf.keras.layers.Dense(10, input_shape=(5,), activation='relu'),\n", - " tf.keras.layers.Dense(1)\n", - " ])\n", - " # Compile the model\n", - " model.compile(optimizer='adam', loss='mse')\n", - " # Generate some example data\n", - " x_train = tf.random.normal((100, 5))\n", - " y_train = tf.random.normal((100, 1))\n", - " # Create a TensorBoard callback\n", - " log_dir = './logs'\n", - " tensorboard_callback = tf.keras.callbacks.TensorBoard(log_dir=log_dir)\n", - " # Train the model\n", - " model.fit(x_train, y_train, epochs=2, callbacks=[tensorboard_callback])\n", - " \n", - "suite = unittest.TestLoader().loadTestsFromTestCase(TestTensorflowNotebook)\n", - "unittest.TextTestRunner().run(suite)\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "39e1d04e-2b13-4528-9132-fa2bee12e4a8", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "tensorflow-gpu", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.9.18" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/jupyter/intel/tensorflow/ubi9-python-3.9/test/test_notebook_cpu.ipynb b/jupyter/intel/tensorflow/ubi9-python-3.9/test/test_notebook_cpu.ipynb deleted file mode 100644 index 7a31a637b..000000000 --- a/jupyter/intel/tensorflow/ubi9-python-3.9/test/test_notebook_cpu.ipynb +++ /dev/null @@ -1,117 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "import unittest\n", - "import tensorflow as tf\n", - "import intel_extension_for_tensorflow as itex\n", - "import tensorboard\n", - "import tf2onnx\n", - "from platform import python_version\n", - "\n", - "class TestTensorflowNotebook(unittest.TestCase):\n", - " \n", - " def test_python_version(self):\n", - " expected_major_minor = '3.9' # Set the expected version (x.y)\n", - " actual_major_minor = '.'.join(python_version().split('.')[:2]) \n", - " self.assertEqual(actual_major_minor, expected_major_minor, \"incorrect version\")\n", - " \n", - " def test_tensorflow_version(self):\n", - " expected_major_minor = '2.14' # Set the expected version (x.y)\n", - " actual_major_minor = '.'.join(tf.__version__.split('.')[:2]) \n", - " self.assertEqual(actual_major_minor, expected_major_minor, \"incorrect version\")\n", - " \n", - " def test_itex_version(self):\n", - " expected_major_minor = '2.14' # Set the expected version (x.y)\n", - " actual_major_minor = '.'.join(itex.__version__.split('.')[:2]) \n", - " self.assertEqual(actual_major_minor, expected_major_minor, \"incorrect version\")\n", - " \n", - " def test_tf2onnx_conversion(self):\n", - " # Replace this with an actual TensorFlow model conversion using tf2onnx\n", - " model = tf.keras.Sequential([tf.keras.layers.Dense(1, input_shape=(10,))])\n", - " onnx_model = tf2onnx.convert.from_keras(model)\n", - " \n", - " self.assertTrue(onnx_model is not None)\n", - "\n", - " def test_mnist_model(self):\n", - " # A basic test from the official tensorflow webpage https://www.tensorflow.org/tutorials/quickstart/beginner\n", - " mnist = tf.keras.datasets.mnist\n", - " (x_train, y_train), (x_test, y_test) = mnist.load_data()\n", - " x_train, x_test = x_train / 255.0, x_test / 255.0\n", - " model = tf.keras.models.Sequential([\n", - " tf.keras.layers.Flatten(input_shape=(28, 28)),\n", - " tf.keras.layers.Dense(128, activation='relu'),\n", - " tf.keras.layers.Dropout(0.2),\n", - " tf.keras.layers.Dense(10)\n", - " ])\n", - " predictions = model(x_train[:1]).numpy()\n", - " predictions\n", - " tf.nn.softmax(predictions).numpy()\n", - " loss_fn = tf.keras.losses.SparseCategoricalCrossentropy(from_logits=True)\n", - " loss_fn(y_train[:1], predictions).numpy()\n", - " model.compile(optimizer='adam', loss=loss_fn, metrics=['accuracy'])\n", - " model.fit(x_train, y_train, epochs=5)\n", - " model.evaluate(x_test, y_test, verbose=2)\n", - " probability_model = tf.keras.Sequential([\n", - " model,\n", - " tf.keras.layers.Softmax()\n", - " ])\n", - " probability_model(x_test[:5])\n", - "\n", - " def test_tensorboard(self):\n", - " # Create a simple model\n", - " model = tf.keras.Sequential([\n", - " tf.keras.layers.Dense(10, input_shape=(5,), activation='relu'),\n", - " tf.keras.layers.Dense(1)\n", - " ])\n", - " # Compile the model\n", - " model.compile(optimizer='adam', loss='mse')\n", - " # Generate some example data\n", - " x_train = tf.random.normal((100, 5))\n", - " y_train = tf.random.normal((100, 1))\n", - " # Create a TensorBoard callback\n", - " log_dir = './logs'\n", - " tensorboard_callback = tf.keras.callbacks.TensorBoard(log_dir=log_dir)\n", - " # Train the model\n", - " model.fit(x_train, y_train, epochs=2, callbacks=[tensorboard_callback])\n", - " \n", - "suite = unittest.TestLoader().loadTestsFromTestCase(TestTensorflowNotebook)\n", - "unittest.TextTestRunner().run(suite)\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "tensorflow-gpu", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.9.18" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/jupyter/intel/tensorflow/ubi9-python-3.9/utils/addons/apply.sh b/jupyter/intel/tensorflow/ubi9-python-3.9/utils/addons/apply.sh deleted file mode 100755 index f8ed27a64..000000000 --- a/jupyter/intel/tensorflow/ubi9-python-3.9/utils/addons/apply.sh +++ /dev/null @@ -1,40 +0,0 @@ -#!/bin/bash - -# See https://github.com/jupyterlab/jupyterlab/issues/5463 -# This is a hack to apply partial HTML code to JupyterLab's `index.html` file -# Look for the other duplicates in case a change is needed to this file - -script_dir="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)" - -pf_url="https://unpkg.com/@patternfly/patternfly@6.0.0/patternfly.min.css" - -static_dir="/opt/app-root/share/jupyter/lab/static" -index_file="$static_dir/index.html" - -head_file="$script_dir/partial-head.html" -body_file="$script_dir/partial-body.html" - -if [ ! -f "$index_file" ]; then - echo "File '$index_file' not found" - exit 1 -fi - -if [ ! -f "$head_file" ]; then - echo "File '$head_file' not found" - exit 1 -fi - -if [ ! -f "$body_file" ]; then - echo "File '$body_file' not found" - exit 1 -fi - -curl -o "$static_dir/pf.css" "$pf_url" - -head_content=$(tr -d '\n' <"$head_file" | sed 's/@/\\@/g') -body_content=$(tr -d '\n' <"$body_file" | sed 's/@/\\@/g') - -perl -i -0pe "s||$head_content\n|" "$index_file" -perl -i -0pe "s||$body_content\n|" "$index_file" - -echo "Content from partial HTML files successfully injected into JupyterLab's 'index.html' file" diff --git a/jupyter/intel/tensorflow/ubi9-python-3.9/utils/addons/partial-body.html b/jupyter/intel/tensorflow/ubi9-python-3.9/utils/addons/partial-body.html deleted file mode 100644 index 642b32f6a..000000000 --- a/jupyter/intel/tensorflow/ubi9-python-3.9/utils/addons/partial-body.html +++ /dev/null @@ -1,23 +0,0 @@ -
- -
- - diff --git a/jupyter/intel/tensorflow/ubi9-python-3.9/utils/addons/partial-head.html b/jupyter/intel/tensorflow/ubi9-python-3.9/utils/addons/partial-head.html deleted file mode 100644 index 4b251d275..000000000 --- a/jupyter/intel/tensorflow/ubi9-python-3.9/utils/addons/partial-head.html +++ /dev/null @@ -1,14 +0,0 @@ - - diff --git a/jupyter/intel/tensorflow/ubi9-python-3.9/utils/process.sh b/jupyter/intel/tensorflow/ubi9-python-3.9/utils/process.sh deleted file mode 100644 index 4da716a9f..000000000 --- a/jupyter/intel/tensorflow/ubi9-python-3.9/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/minimal/ubi9-python-3.11/Dockerfile b/jupyter/minimal/ubi9-python-3.11/Dockerfile index b981476bf..e44edd80b 100644 --- a/jupyter/minimal/ubi9-python-3.11/Dockerfile +++ b/jupyter/minimal/ubi9-python-3.11/Dockerfile @@ -1,6 +1,9 @@ ARG BASE_IMAGE FROM ${BASE_IMAGE} +ARG REUSABLE_UTILS=jupyter/utils +ARG SOURCE_CODE=jupyter/minimal/ubi9-python-3.11 + LABEL name="odh-notebook-jupyter-minimal-ubi9-python-3.11" \ summary="Minimal Jupyter notebook image for ODH notebooks" \ description="Minimal Jupyter notebook image with base Python 3.11 builder image based on UBI9 for ODH notebooks" \ @@ -13,9 +16,9 @@ LABEL name="odh-notebook-jupyter-minimal-ubi9-python-3.11" \ WORKDIR /opt/app-root/bin -COPY utils utils/ +COPY ${REUSABLE_UTILS} utils/ -COPY Pipfile.lock start-notebook.sh ./ +COPY ${SOURCE_CODE}/Pipfile.lock ${SOURCE_CODE}/start-notebook.sh ./ # Install Python dependencies from Pipfile.lock file RUN echo "Installing softwares and packages" && micropipenv install && rm -f ./Pipfile.lock && \ @@ -33,4 +36,3 @@ WORKDIR /opt/app-root/src RUN sed -i -e "s/Python.*/$(python --version | cut -d '.' -f-2)\",/" /opt/app-root/share/jupyter/kernels/python3/kernel.json ENTRYPOINT ["start-notebook.sh"] - diff --git a/jupyter/minimal/ubi9-python-3.11/Pipfile b/jupyter/minimal/ubi9-python-3.11/Pipfile index 1a7b4bcb3..ebabc3f82 100644 --- a/jupyter/minimal/ubi9-python-3.11/Pipfile +++ b/jupyter/minimal/ubi9-python-3.11/Pipfile @@ -8,7 +8,7 @@ verify_ssl = true [packages] # JupyterLab packages -jupyterlab = "~=4.2.4" +jupyterlab = "==4.2.6" jupyter-server = "~=2.14.2" jupyter-server-proxy = "~=4.3.0" jupyter-server-terminals = "~=0.5.3" diff --git a/jupyter/minimal/ubi9-python-3.11/Pipfile.lock b/jupyter/minimal/ubi9-python-3.11/Pipfile.lock index b2c29af9b..211bde1ed 100644 --- a/jupyter/minimal/ubi9-python-3.11/Pipfile.lock +++ b/jupyter/minimal/ubi9-python-3.11/Pipfile.lock @@ -1,7 +1,7 @@ { "_meta": { "hash": { - "sha256": "86f7d5112a03b6ba963bccf3778c92d297ffc4c7bce505015809cdd501c99cd2" + "sha256": "897bd3ddf3c48fcb1d7b3bd438f12c5d4f83e24318408dbff7c8404e7498b433" }, "pipfile-spec": 6, 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a/jupyter/minimal/ubi9-python-3.11/utils/addons/apply.sh +++ /dev/null @@ -1,40 +0,0 @@ -#!/bin/bash - -# See https://github.com/jupyterlab/jupyterlab/issues/5463 -# This is a hack to apply partial HTML code to JupyterLab's `index.html` file -# Look for the other duplicates in case a change is needed to this file - -script_dir="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)" - -pf_url="https://unpkg.com/@patternfly/patternfly@6.0.0/patternfly.min.css" - -static_dir="/opt/app-root/share/jupyter/lab/static" -index_file="$static_dir/index.html" - -head_file="$script_dir/partial-head.html" -body_file="$script_dir/partial-body.html" - -if [ ! -f "$index_file" ]; then - echo "File '$index_file' not found" - exit 1 -fi - -if [ ! -f "$head_file" ]; then - echo "File '$head_file' not found" - exit 1 -fi - -if [ ! -f "$body_file" ]; then - echo "File '$body_file' not found" - exit 1 -fi - -curl -o "$static_dir/pf.css" "$pf_url" - -head_content=$(tr -d '\n' <"$head_file" | sed 's/@/\\@/g') -body_content=$(tr -d '\n' <"$body_file" | sed 's/@/\\@/g') - -perl -i -0pe "s||$head_content\n|" "$index_file" -perl -i -0pe "s||$body_content\n|" "$index_file" - -echo "Content from partial HTML files successfully injected into JupyterLab's 'index.html' file" diff --git a/jupyter/minimal/ubi9-python-3.11/utils/addons/partial-body.html b/jupyter/minimal/ubi9-python-3.11/utils/addons/partial-body.html deleted file mode 100644 index 642b32f6a..000000000 --- a/jupyter/minimal/ubi9-python-3.11/utils/addons/partial-body.html +++ /dev/null @@ -1,23 +0,0 @@ -
- -
- - diff --git a/jupyter/minimal/ubi9-python-3.11/utils/addons/partial-head.html b/jupyter/minimal/ubi9-python-3.11/utils/addons/partial-head.html deleted file mode 100644 index 4b251d275..000000000 --- a/jupyter/minimal/ubi9-python-3.11/utils/addons/partial-head.html +++ /dev/null @@ -1,14 +0,0 @@ - - diff --git a/jupyter/minimal/ubi9-python-3.11/utils/process.sh b/jupyter/minimal/ubi9-python-3.11/utils/process.sh deleted file mode 100644 index 4da716a9f..000000000 --- a/jupyter/minimal/ubi9-python-3.11/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/minimal/ubi9-python-3.9/Dockerfile b/jupyter/minimal/ubi9-python-3.9/Dockerfile deleted file mode 100644 index ce9c3d6c5..000000000 --- a/jupyter/minimal/ubi9-python-3.9/Dockerfile +++ /dev/null @@ -1,36 +0,0 @@ -ARG BASE_IMAGE -FROM ${BASE_IMAGE} - -LABEL name="odh-notebook-jupyter-minimal-ubi9-python-3.9" \ - summary="Minimal Jupyter notebook image for ODH notebooks" \ - description="Minimal Jupyter notebook image with base Python 3.9 builder image based on UBI9 for ODH notebooks" \ - io.k8s.display-name="Minimal Jupyter notebook image for ODH notebooks" \ - io.k8s.description="Minimal Jupyter notebook image with base Python 3.9 builder image based on UBI9 for ODH notebooks" \ - authoritative-source-url="https://github.com/opendatahub-io/notebooks" \ - io.openshift.build.commit.ref="main" \ - io.openshift.build.source-location="https://github.com/opendatahub-io/notebooks/tree/main/jupyter/minimal/ubi9-python-3.9" \ - io.openshift.build.image="quay.io/opendatahub/workbench-images:jupyter-minimal-ubi9-python-3.9" - -WORKDIR /opt/app-root/bin - -COPY utils utils/ - -COPY Pipfile.lock start-notebook.sh ./ - -# Install Python dependencies from Pipfile.lock file -RUN echo "Installing softwares and packages" && micropipenv install && rm -f ./Pipfile.lock && \ - # Disable announcement plugin of jupyterlab \ - jupyter labextension disable "@jupyterlab/apputils-extension:announcements" && \ - # Fix permissions to support pip in Openshift environments \ - chmod -R g+w /opt/app-root/lib/python3.9/site-packages && \ - fix-permissions /opt/app-root -P && \ - # Apply JupyterLab addons - /opt/app-root/bin/utils/addons/apply.sh - -WORKDIR /opt/app-root/src - -# Replace Notebook's launcher, "(ipykernel)" with Python's version 3.x.y -RUN sed -i -e "s/Python.*/$(python --version | cut -d '.' -f-2)\",/" /opt/app-root/share/jupyter/kernels/python3/kernel.json - -ENTRYPOINT ["start-notebook.sh"] - diff --git a/jupyter/minimal/ubi9-python-3.9/Pipfile b/jupyter/minimal/ubi9-python-3.9/Pipfile deleted file mode 100644 index 34fc27471..000000000 --- a/jupyter/minimal/ubi9-python-3.9/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 = "3.9" diff --git a/jupyter/minimal/ubi9-python-3.9/Pipfile.lock b/jupyter/minimal/ubi9-python-3.9/Pipfile.lock deleted file mode 100644 index 3d4db5165..000000000 --- a/jupyter/minimal/ubi9-python-3.9/Pipfile.lock +++ /dev/null @@ -1,2045 +0,0 @@ -{ - "_meta": { - "hash": { - "sha256": "1f7101d8ec7263fab61a313c2b72b47ad01dc66d0482866d8adcdcd7c430ecfc" - }, - "pipfile-spec": 6, - "requires": { - "python_version": "3.9" - }, - "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" - }, - "aiohappyeyeballs": { - "hashes": [ - "sha256:75cf88a15106a5002a8eb1dab212525c00d1f4c0fa96e551c9fbe6f09a621586", - "sha256:8a7a83727b2756f394ab2895ea0765a0a8c475e3c71e98d43d76f22b4b435572" - ], - "markers": "python_version >= '3.8'", - "version": "==2.4.3" - }, - "aiohttp": { - "hashes": [ - "sha256:007ec22fbc573e5eb2fb7dec4198ef8f6bf2fe4ce20020798b2eb5d0abda6138", - "sha256:00819de9e45d42584bed046314c40ea7e9aea95411b38971082cad449392b08c", - "sha256:01948b1d570f83ee7bbf5a60ea2375a89dfb09fd419170e7f5af029510033d24", - "sha256:038f514fe39e235e9fef6717fbf944057bfa24f9b3db9ee551a7ecf584b5b480", - "sha256:03a42ac7895406220124c88911ebee31ba8b2d24c98507f4a8bf826b2937c7f2", - "sha256:05646ebe6b94cc93407b3bf34b9eb26c20722384d068eb7339de802154d61bc5", - "sha256:0631dd7c9f0822cc61c88586ca76d5b5ada26538097d0f1df510b082bad3411a", - "sha256:0b00807e2605f16e1e198f33a53ce3c4523114059b0c09c337209ae55e3823a8", - "sha256:0e1b370d8007c4ae31ee6db7f9a2fe801a42b146cec80a86766e7ad5c4a259cf", - "sha256:15ecd889a709b0080f02721255b3f80bb261c2293d3c748151274dfea93ac871", - "sha256:1b66ccafef7336a1e1f0e389901f60c1d920102315a56df85e49552308fc0486", - 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"sha256:f9cbfbc5faca235fbdf531b93aa0f9f005ec7d267d9d738761a4d42b744ea159", - "sha256:fbea1751729afe607d84acfd01efd95e3b31db148a181a441984ce9b3d3469da", - "sha256:fca4b4307ebe9c3ec77a084da3a9d1999d164693d16492ca2b64594340999988", - "sha256:ff5c6771c7e3511a06555afa317879b7db8d640137ba55d6ab0d0c50425cab75" - ], - "markers": "python_version >= '3.9'", - "version": "==1.17.1" - }, - "ypy-websocket": { - "hashes": [ - "sha256:43a001473f5c8abcf182f603049cf305cbc855ad8deaa9dfa0f3b5a7cea9d0ff", - "sha256:b1ba0dfcc9762f0ca168d2378062d3ca1299d39076b0f145d961359121042be5" - ], - "markers": "python_version >= '3.7'", - "version": "==0.8.4" - }, - "zipp": { - "hashes": [ - "sha256:a817ac80d6cf4b23bf7f2828b7cabf326f15a001bea8b1f9b49631780ba28350", - "sha256:bc9eb26f4506fda01b81bcde0ca78103b6e62f991b381fec825435c836edbc29" - ], - "markers": "python_version >= '3.8'", - "version": "==3.20.2" - } - }, - "develop": {} -} diff --git a/jupyter/minimal/ubi9-python-3.9/kustomize/base/kustomization.yaml b/jupyter/minimal/ubi9-python-3.9/kustomize/base/kustomization.yaml deleted file mode 100644 index 7ce0711a9..000000000 --- a/jupyter/minimal/ubi9-python-3.9/kustomize/base/kustomization.yaml +++ /dev/null @@ -1,13 +0,0 @@ ---- -apiVersion: kustomize.config.k8s.io/v1beta1 -kind: Kustomization -namePrefix: jupyter-minimal-ubi9-python-3-9- -commonLabels: - app: jupyter-minimal-ubi9-python-3-9 -resources: - - service.yaml - - statefulset.yaml -images: - - name: quay.io/opendatahub/workbench-images - newName: quay.io/opendatahub/workbench-images - newTag: jupyter-minimal-ubi9-python-3.9 diff --git a/jupyter/minimal/ubi9-python-3.9/kustomize/base/service.yaml b/jupyter/minimal/ubi9-python-3.9/kustomize/base/service.yaml deleted file mode 100644 index d6f7128e8..000000000 --- a/jupyter/minimal/ubi9-python-3.9/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/ubi9-python-3.9/kustomize/base/statefulset.yaml b/jupyter/minimal/ubi9-python-3.9/kustomize/base/statefulset.yaml deleted file mode 100644 index 3299ae509..000000000 --- a/jupyter/minimal/ubi9-python-3.9/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-ubi9-python-3.9 - 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/ubi9-python-3.9/start-notebook.sh b/jupyter/minimal/ubi9-python-3.9/start-notebook.sh deleted file mode 100755 index f165c7de8..000000000 --- a/jupyter/minimal/ubi9-python-3.9/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/ubi9-python-3.9/test/test_notebook.ipynb b/jupyter/minimal/ubi9-python-3.9/test/test_notebook.ipynb deleted file mode 100644 index 813446a9a..000000000 --- a/jupyter/minimal/ubi9-python-3.9/test/test_notebook.ipynb +++ /dev/null @@ -1,53 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": null, - "id": "2d972b6b-1211-4c21-a7e8-a1683b72a62c", - "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 = '3.9'\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/ubi9-python-3.9/utils/addons/apply.sh b/jupyter/minimal/ubi9-python-3.9/utils/addons/apply.sh deleted file mode 100755 index f8ed27a64..000000000 --- a/jupyter/minimal/ubi9-python-3.9/utils/addons/apply.sh +++ /dev/null @@ -1,40 +0,0 @@ -#!/bin/bash - -# See https://github.com/jupyterlab/jupyterlab/issues/5463 -# This is a hack to apply partial HTML code to JupyterLab's `index.html` file -# Look for the other duplicates in case a change is needed to this file - -script_dir="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)" - -pf_url="https://unpkg.com/@patternfly/patternfly@6.0.0/patternfly.min.css" - -static_dir="/opt/app-root/share/jupyter/lab/static" -index_file="$static_dir/index.html" - -head_file="$script_dir/partial-head.html" -body_file="$script_dir/partial-body.html" - -if [ ! -f "$index_file" ]; then - echo "File '$index_file' not found" - exit 1 -fi - -if [ ! -f "$head_file" ]; then - echo "File '$head_file' not found" - exit 1 -fi - -if [ ! -f "$body_file" ]; then - echo "File '$body_file' not found" - exit 1 -fi - -curl -o "$static_dir/pf.css" "$pf_url" - -head_content=$(tr -d '\n' <"$head_file" | sed 's/@/\\@/g') -body_content=$(tr -d '\n' <"$body_file" | sed 's/@/\\@/g') - -perl -i -0pe "s||$head_content\n|" "$index_file" -perl -i -0pe "s||$body_content\n|" "$index_file" - -echo "Content from partial HTML files successfully injected into JupyterLab's 'index.html' file" diff --git a/jupyter/minimal/ubi9-python-3.9/utils/addons/partial-body.html b/jupyter/minimal/ubi9-python-3.9/utils/addons/partial-body.html deleted file mode 100644 index 642b32f6a..000000000 --- a/jupyter/minimal/ubi9-python-3.9/utils/addons/partial-body.html +++ /dev/null @@ -1,23 +0,0 @@ -
- -
- - diff --git a/jupyter/minimal/ubi9-python-3.9/utils/addons/partial-head.html b/jupyter/minimal/ubi9-python-3.9/utils/addons/partial-head.html deleted file mode 100644 index 4b251d275..000000000 --- a/jupyter/minimal/ubi9-python-3.9/utils/addons/partial-head.html +++ /dev/null @@ -1,14 +0,0 @@ - - diff --git a/jupyter/minimal/ubi9-python-3.9/utils/process.sh b/jupyter/minimal/ubi9-python-3.9/utils/process.sh deleted file mode 100644 index 4da716a9f..000000000 --- a/jupyter/minimal/ubi9-python-3.9/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/pytorch/ubi9-python-3.11/Dockerfile b/jupyter/pytorch/ubi9-python-3.11/Dockerfile index 72e4e38ee..d53e51804 100644 --- a/jupyter/pytorch/ubi9-python-3.11/Dockerfile +++ b/jupyter/pytorch/ubi9-python-3.11/Dockerfile @@ -1,6 +1,8 @@ ARG BASE_IMAGE FROM ${BASE_IMAGE} +ARG SOURCE_CODE=jupyter/pytorch/ubi9-python-3.11 + LABEL name="odh-notebook-jupyter-pytorch-ubi9-python-3.11" \ summary="Jupyter pytorch notebook image for ODH notebooks" \ description="Jupyter pytorch notebook image with base Python 3.11 builder image based on UBI9 for ODH notebooks" \ @@ -12,7 +14,7 @@ LABEL name="odh-notebook-jupyter-pytorch-ubi9-python-3.11" \ io.openshift.build.image="quay.io/opendatahub/workbench-images:jupyter-pytorch-ubi9-python-3.11" # Install Python packages and Jupyterlab extensions from Pipfile.lock -COPY Pipfile.lock ./ +COPY ${SOURCE_CODE}/Pipfile.lock ./ RUN echo "Installing softwares and packages" && \ micropipenv install && \ diff --git a/jupyter/pytorch/ubi9-python-3.11/Pipfile b/jupyter/pytorch/ubi9-python-3.11/Pipfile old mode 100644 new mode 100755 index 582e4119e..cd78ec114 --- a/jupyter/pytorch/ubi9-python-3.11/Pipfile +++ b/jupyter/pytorch/ubi9-python-3.11/Pipfile @@ -28,7 +28,8 @@ scikit-learn = "~=1.5.1" scipy = "~=1.14.1" skl2onnx = "~=1.17.0" onnxconverter-common = "~=1.13.0" # Required for skl2onnx, as upgraded version is not compatible with protobuf -codeflare-sdk = "~=0.24.0" +codeflare-sdk = "~=0.25.0" +kubeflow-training = {extras = ["huggingface"], version = "==1.8.1"} # DB connectors pymongo = "~=4.8.0" @@ -40,7 +41,7 @@ mysql-connector-python = "~=9.0.0" odh-elyra = "==4.2.0" -jupyterlab = "~=4.2.4" +jupyterlab = "==4.2.6" jupyter-bokeh = "~=4.0.5" jupyter-server = "~=2.14.2" jupyter-server-proxy = "~=4.3.0" diff --git a/jupyter/pytorch/ubi9-python-3.11/Pipfile.lock b/jupyter/pytorch/ubi9-python-3.11/Pipfile.lock index 1613341d9..fc97b78a8 100644 --- a/jupyter/pytorch/ubi9-python-3.11/Pipfile.lock +++ b/jupyter/pytorch/ubi9-python-3.11/Pipfile.lock @@ -1,7 +1,7 @@ { "_meta": { "hash": { - "sha256": "e83df08aceb3f19da7173afdd2948e2463f1cc3c9580d3f9d648c59ea865bc54" + "sha256": "b4b9631ca712f7f65b240f1e12c4d7592a09bfa63920cad4caeff9f3c6c0b410" }, "pipfile-spec": 6, "requires": { @@ -29,95 +29,103 @@ "markers": "python_version >= '3.7'", "version": "==2.1.0" }, + "accelerate": { + "hashes": [ + "sha256:03e161fc69d495daf2b9b5c8d5b43d06e2145520c04727b5bda56d49f1a43ab5", + "sha256:be1cbb958cf837e7cdfbde46b812964b1b8ae94c9c7d94d921540beafcee8ddf" + ], + "markers": "python_full_version >= '3.9.0'", + "version": "==1.2.1" + }, "aiohappyeyeballs": { "hashes": [ - "sha256:75cf88a15106a5002a8eb1dab212525c00d1f4c0fa96e551c9fbe6f09a621586", - "sha256:8a7a83727b2756f394ab2895ea0765a0a8c475e3c71e98d43d76f22b4b435572" + "sha256:5fdd7d87889c63183afc18ce9271f9b0a7d32c2303e394468dd45d514a757745", + "sha256:a980909d50efcd44795c4afeca523296716d50cd756ddca6af8c65b996e27de8" ], "markers": "python_version >= '3.8'", - "version": "==2.4.3" + "version": "==2.4.4" }, "aiohttp": { "hashes": [ - "sha256:018f1b04883a12e77e7fc161934c0f298865d3a484aea536a6a2ca8d909f0ba0", - 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notebooks" \ - io.k8s.description="Jupyter pytorch notebook image with base Python 3.9 builder image based on UBI9 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/pytorch/ubi9-python-3.9" \ - io.openshift.build.image="quay.io/opendatahub/workbench-images:jupyter-pytorch-ubi9-python-3.9" - -# Install Python packages and Jupyterlab extensions from Pipfile.lock -COPY Pipfile.lock ./ - -RUN echo "Installing softwares and packages" && \ - micropipenv install && \ - rm -f ./Pipfile.lock && \ - # 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 && \ - # 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/python3.9/site-packages && \ - fix-permissions /opt/app-root -P diff --git a/jupyter/pytorch/ubi9-python-3.9/Pipfile b/jupyter/pytorch/ubi9-python-3.9/Pipfile deleted file mode 100644 index 8bf58a838..000000000 --- a/jupyter/pytorch/ubi9-python-3.9/Pipfile +++ /dev/null @@ -1,59 +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 = "~=2.16.2" -torch = {version = "~=2.2.1", index = "pytorch"} -torchvision = {version = "~=0.17.1", index = "pytorch"} -# Datascience and useful extensions -boto3 = "~=1.34.50" -kafka-python = "~=2.0.2" -matplotlib = "~=3.8.3" -numpy = "~=1.26.4" -pandas = "~=2.2.0" -plotly = "~=5.20.0" -scikit-learn = "~=1.4.0" -scipy = "~=1.12.0" -skl2onnx = "~=1.16.0" -onnxconverter-common = "~=1.13.0" # Required for skl2onnx, as upgraded version is not compatible with protobuf -codeflare-sdk = "~=0.19.1" -memray = "~=1.10.0" # any version above this would cause issue with rich package -# 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 = "3.9" diff --git a/jupyter/pytorch/ubi9-python-3.9/Pipfile.lock b/jupyter/pytorch/ubi9-python-3.9/Pipfile.lock deleted file mode 100644 index 8eba9b3cd..000000000 --- a/jupyter/pytorch/ubi9-python-3.9/Pipfile.lock +++ /dev/null @@ -1,4539 +0,0 @@ -{ - "_meta": { - "hash": { - "sha256": "7f05f035ff2cbf43ca46c16c37ed0b03410ff0d25dce1192d53b141f457ddf6c" - }, - "pipfile-spec": 6, - "requires": { - "python_version": "3.9" - }, - "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": 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ad6901b87..000000000 --- a/jupyter/pytorch/ubi9-python-3.9/kustomize/base/kustomization.yaml +++ /dev/null @@ -1,13 +0,0 @@ ---- -apiVersion: kustomize.config.k8s.io/v1beta1 -kind: Kustomization -namePrefix: jupyter-pytorch-ubi9-python-3-9- -commonLabels: - app: jupyter-pytorch-ubi9-python-3-9 -resources: - - service.yaml - - statefulset.yaml -images: - - name: quay.io/opendatahub/workbench-images - newName: quay.io/opendatahub/workbench-images - newTag: jupyter-pytorch-ubi9-python-3.9 diff --git a/jupyter/pytorch/ubi9-python-3.9/kustomize/base/service.yaml b/jupyter/pytorch/ubi9-python-3.9/kustomize/base/service.yaml deleted file mode 100644 index d6f7128e8..000000000 --- a/jupyter/pytorch/ubi9-python-3.9/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/pytorch/ubi9-python-3.9/kustomize/base/statefulset.yaml b/jupyter/pytorch/ubi9-python-3.9/kustomize/base/statefulset.yaml deleted file mode 100644 index 20ae71396..000000000 --- a/jupyter/pytorch/ubi9-python-3.9/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-pytorch-ubi9-python-3.9 - 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/pytorch/ubi9-python-3.9/test/test_notebook.ipynb b/jupyter/pytorch/ubi9-python-3.9/test/test_notebook.ipynb deleted file mode 100644 index 11795be94..000000000 --- a/jupyter/pytorch/ubi9-python-3.9/test/test_notebook.ipynb +++ /dev/null @@ -1,163 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "import unittest\n", - "import torch\n", - "import math\n", - "import os\n", - "import torchvision.transforms as transforms\n", - "from PIL import Image\n", - "from torch.utils.tensorboard import SummaryWriter\n", - "from platform import python_version\n", - "import torchvision.models as models\n", - "\n", - "class TestPytorchNotebook(unittest.TestCase):\n", - " \n", - " def test_python_version(self):\n", - " expected_major_minor = '3.9' # Set the expected version (x.y)\n", - " actual_major_minor = '.'.join(python_version().split('.')[:2]) \n", - " self.assertEqual(actual_major_minor, expected_major_minor, \"incorrect version\")\n", - " \n", - " def test_torch_version(self):\n", - " expected_major_minor = '2.2' # Set the expected version (x.y)\n", - " actual_major_minor = '.'.join(torch.__version__.split('.')[:2]) \n", - " self.assertEqual(actual_major_minor, expected_major_minor, \"incorrect version\")\n", - " \n", - " def test_tensor_creation(self):\n", - " # Test tensor creation\n", - " tensor = torch.tensor([1, 2, 3])\n", - " self.assertIsInstance(tensor, torch.Tensor)\n", - " \n", - " def test_tensor_operations(self):\n", - " # Test tensor operations\n", - " a = torch.tensor([1, 2, 3])\n", - " b = torch.tensor([4, 5, 6])\n", - " c = a + b\n", - " self.assertTrue(torch.all(torch.eq(c, torch.tensor([5, 7, 9]))))\n", - " \n", - " def test_tensor_shape(self):\n", - " # Test tensor shape\n", - " tensor = torch.tensor([[1, 2, 3], [4, 5, 6]])\n", - " self.assertEqual(tensor.shape, (2, 3))\n", - " \n", - " def test_polynomial_fitting(self):\n", - " dtype = torch.float\n", - " device = torch.device(\"cpu\")\n", - " # device = torch.device(\"cuda:0\") # Uncomment this to run on GPU\n", - "\n", - " # Create random input and output data\n", - " x = torch.linspace(-math.pi, math.pi, 2000, device=device, dtype=dtype)\n", - " y = torch.sin(x)\n", - "\n", - " # Randomly initialize weights\n", - " a = torch.randn((), device=device, dtype=dtype)\n", - " b = torch.randn((), device=device, dtype=dtype)\n", - " c = torch.randn((), device=device, dtype=dtype)\n", - " d = torch.randn((), device=device, dtype=dtype)\n", - "\n", - " learning_rate = 1e-6\n", - " for t in range(2000):\n", - " # Forward pass: compute predicted y\n", - " y_pred = a + b * x + c * x ** 2 + d * x ** 3\n", - "\n", - " # Compute and print loss\n", - " loss = (y_pred - y).pow(2).sum().item()\n", - " if t % 100 == 99:\n", - " print(t, loss)\n", - "\n", - " # Backprop to compute gradients of a, b, c, d with respect to loss\n", - " grad_y_pred = 2.0 * (y_pred - y)\n", - " grad_a = grad_y_pred.sum()\n", - " grad_b = (grad_y_pred * x).sum()\n", - " grad_c = (grad_y_pred * x ** 2).sum()\n", - " grad_d = (grad_y_pred * x ** 3).sum()\n", - "\n", - " # Update weights using gradient descent\n", - " a -= learning_rate * grad_a\n", - " b -= learning_rate * grad_b\n", - " c -= learning_rate * grad_c\n", - " d -= learning_rate * grad_d\n", - "\n", - "\n", - " print(f'Result: y = {a.item()} + {b.item()} x + {c.item()} x^2 + {d.item()} x^3')\n", - " \n", - " def test_image_transform(self):\n", - " # Define a sample image\n", - " sample_image = Image.new('RGB', (100, 100), color='red')\n", - "\n", - " # Define a transformation pipeline\n", - " transform = transforms.Compose([\n", - " transforms.Resize((64, 64)),\n", - " transforms.ToTensor()\n", - " ])\n", - "\n", - " # Apply the transformation\n", - " transformed_image = transform(sample_image)\n", - "\n", - " # Check if the transformed image is a PyTorch tensor\n", - " self.assertTrue(isinstance(transformed_image, torch.Tensor))\n", - "\n", - " # Check if the transformed image has the correct shape\n", - " self.assertEqual(transformed_image.shape, (3, 64, 64)) # Assuming RGB image\n", - "\n", - " def test_tensorboard_integration(self):\n", - " # Define a sample image\n", - " sample_image = Image.new('RGB', (100, 100), color='red')\n", - "\n", - " # Define a transformation pipeline\n", - " transform = transforms.Compose([\n", - " transforms.Resize((64, 64)),\n", - " transforms.ToTensor()\n", - " ])\n", - "\n", - " # Apply the transformation\n", - " transformed_image = transform(sample_image)\n", - "\n", - " # Initialize TensorBoard writer\n", - " writer = SummaryWriter(log_dir=\"./logs\")\n", - "\n", - " # Add the transformed image to TensorBoard\n", - " writer.add_image(\"Transformed Image\", transformed_image, global_step=0)\n", - "\n", - " # Close the writer\n", - " writer.close()\n", - "\n", - " # You can manually check the generated TensorBoard logs to verify the image\n", - "\n", - " # Assert that the writer has been successfully created and used\n", - " self.assertTrue(isinstance(writer, SummaryWriter))\n", - " \n", - " def test_convert_to_onnx(self):\n", - " # Load a pre-trained PyTorch model (for example, ResNet-18)\n", - " model = models.resnet18(pretrained=True)\n", - " model.eval()\n", - "\n", - " # Create a sample input tensor with the appropriate shape\n", - " input_tensor = torch.randn(1, 3, 224, 224) # (batch_size, channels, height, width)\n", - "\n", - " # Export the model to ONNX format\n", - " onnx_path = \"resnet18.onnx\"\n", - " torch.onnx.export(model, input_tensor, onnx_path, verbose=True)\n", - "\n", - " # Check if the ONNX file exists\n", - " self.assertTrue(os.path.exists(onnx_path), f\"ONNX file {onnx_path} not found\")\n", - " \n", - "suite = unittest.TestLoader().loadTestsFromTestCase(TestPytorchNotebook)\n", - "unittest.TextTestRunner().run(suite)" - ] - } - ], - "metadata": { - "language_info": { - "name": "python" - }, - "orig_nbformat": 4 - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/jupyter/rocm/pytorch/ubi9-python-3.11/Dockerfile b/jupyter/rocm/pytorch/ubi9-python-3.11/Dockerfile index e7e89badf..b4ff4aa91 100644 --- a/jupyter/rocm/pytorch/ubi9-python-3.11/Dockerfile +++ b/jupyter/rocm/pytorch/ubi9-python-3.11/Dockerfile @@ -1,6 +1,8 @@ ARG BASE_IMAGE FROM ${BASE_IMAGE} +ARG SOURCE_CODE=jupyter/rocm/pytorch/ubi9-python-3.11 + LABEL name="odh-notebook-jupyter-rocm-pytorch-ubi9-python-3.11" \ summary="Jupyter AMD pytorch notebook image for ODH notebooks" \ description="Jupyter AMD pytorch notebook image with base Python 3.11 builder image based on UBI9 for ODH notebooks" \ @@ -12,9 +14,9 @@ LABEL name="odh-notebook-jupyter-rocm-pytorch-ubi9-python-3.11" \ io.openshift.build.image="quay.io/opendatahub/workbench-images:rocm-jupyter-pytorch-ubi9-python-3.11" # Install Python packages and Jupyterlab extensions from Pipfile.lock -COPY Pipfile.lock ./ +COPY ${SOURCE_CODE}/Pipfile.lock ./ # Copy utility script -COPY de-vendor-torch.sh ./ +COPY ${SOURCE_CODE}/de-vendor-torch.sh ./ RUN echo "Installing softwares and packages" && micropipenv install && rm -f ./Pipfile.lock && \ # De-vendor the ROCm libs that are embedded in Pytorch \ diff --git a/jupyter/rocm/pytorch/ubi9-python-3.11/Pipfile b/jupyter/rocm/pytorch/ubi9-python-3.11/Pipfile old mode 100644 new mode 100755 index 7f41b786d..af7d6b2a9 --- a/jupyter/rocm/pytorch/ubi9-python-3.11/Pipfile +++ b/jupyter/rocm/pytorch/ubi9-python-3.11/Pipfile @@ -30,7 +30,8 @@ scikit-learn = "~=1.5.1" scipy = "~=1.14.1" skl2onnx = "~=1.17.0" onnxconverter-common = "~=1.13.0" # Required for skl2onnx, as upgraded version is not compatible with protobuf -codeflare-sdk = "~=0.24.0" +codeflare-sdk = "~=0.25.0" +kubeflow-training = {extras = ["huggingface"], version = "==1.8.1"} # DB connectors pymongo = "~=4.8.0" @@ -42,7 +43,7 @@ mysql-connector-python = "~=9.0.0" odh-elyra = "==4.2.0" -jupyterlab = "~=4.2.4" +jupyterlab = "==4.2.6" jupyter-bokeh = "~=4.0.5" jupyter-server = "~=2.14.2" jupyter-server-proxy = "~=4.3.0" diff --git a/jupyter/rocm/pytorch/ubi9-python-3.11/Pipfile.lock b/jupyter/rocm/pytorch/ubi9-python-3.11/Pipfile.lock index acf7452e7..cb1a9925e 100644 --- a/jupyter/rocm/pytorch/ubi9-python-3.11/Pipfile.lock +++ b/jupyter/rocm/pytorch/ubi9-python-3.11/Pipfile.lock @@ -1,7 +1,7 @@ { "_meta": { "hash": { - "sha256": "0459c0fa6e92295228f09b3c6f7ce078605769a994d6825a76a7695c8c55d241" + "sha256": "f3116817817ed5d4b6bf80cac28ce628aba7171373a305bf3b15bbb16be55d15" }, "pipfile-spec": 6, "requires": { @@ -29,95 +29,103 @@ "markers": "python_version >= '3.7'", "version": "==2.1.0" }, + "accelerate": { + "hashes": [ + "sha256:03e161fc69d495daf2b9b5c8d5b43d06e2145520c04727b5bda56d49f1a43ab5", + "sha256:be1cbb958cf837e7cdfbde46b812964b1b8ae94c9c7d94d921540beafcee8ddf" + ], + "markers": "python_full_version >= '3.9.0'", + "version": "==1.2.1" + }, "aiohappyeyeballs": { "hashes": [ - "sha256:75cf88a15106a5002a8eb1dab212525c00d1f4c0fa96e551c9fbe6f09a621586", - "sha256:8a7a83727b2756f394ab2895ea0765a0a8c475e3c71e98d43d76f22b4b435572" + "sha256:5fdd7d87889c63183afc18ce9271f9b0a7d32c2303e394468dd45d514a757745", + "sha256:a980909d50efcd44795c4afeca523296716d50cd756ddca6af8c65b996e27de8" ], "markers": "python_version >= '3.8'", - "version": "==2.4.3" + "version": "==2.4.4" }, "aiohttp": { 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@@ -1,9 +1,9 @@ --- apiVersion: kustomize.config.k8s.io/v1beta1 kind: Kustomization -namePrefix: rocm-jupyter-pytorch-ubi9-python-3-11- +namePrefix: jupyter-rocm-pytorch-ubi9-python-3-11- commonLabels: - app: rocm-jupyter-pytorch-ubi9-python-3-11 + app: jupyter-rocm-pytorch-ubi9-python-3-11 resources: - service.yaml - statefulset.yaml diff --git a/jupyter/rocm/pytorch/ubi9-python-3.9/Dockerfile b/jupyter/rocm/pytorch/ubi9-python-3.9/Dockerfile deleted file mode 100644 index fc3c1ee3a..000000000 --- a/jupyter/rocm/pytorch/ubi9-python-3.9/Dockerfile +++ /dev/null @@ -1,28 +0,0 @@ -ARG BASE_IMAGE -FROM ${BASE_IMAGE} - -LABEL name="odh-notebook-jupyter-rocm-pytorch-ubi9-python-3.9" \ - summary="Jupyter AMD pytorch notebook image for ODH notebooks" \ - description="Jupyter AMD pytorch notebook image with base Python 3.9 builder image based on UBI9 for ODH notebooks" \ - io.k8s.display-name="Jupyter AMD pytorch notebook image for ODH notebooks" \ - io.k8s.description="Jupyter AMD pytorch notebook image with base Python 3.9 builder image based on UBI9 for ODH notebooks" \ - authoritative-source-url="https://github.com/opendatahub-io/notebooks" \ - io.openshift.build.commit.ref="main" \ - io.openshift.build.source-location="https://github.com/opendatahub-io/notebooks/tree/main/jupyter/rocm/pytorch/ubi9-python-3.9" \ - io.openshift.build.image="quay.io/opendatahub/workbench-images:rocm-jupyter-pytorch-ubi9-python-3.9" - -# Install Python packages and Jupyterlab extensions from Pipfile.lock -COPY Pipfile.lock ./ -# Copy utility script -COPY de-vendor-torch.sh ./ - -RUN echo "Installing softwares and packages" && micropipenv install && rm -f ./Pipfile.lock && \ - # De-vendor the ROCm libs that are embedded in Pytorch \ - ./de-vendor-torch.sh && \ - rm ./de-vendor-torch.sh && \ - # Replace Notebook's launcher, "(ipykernel)" with Python's version 3.x.y - sed -i -e "s/Python.*/$(python --version | cut -d '.' -f-2)\",/" /opt/app-root/share/jupyter/kernels/python3/kernel.json && \ - # 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/python3.9/site-packages && fix-permissions /opt/app-root -P diff --git a/jupyter/rocm/pytorch/ubi9-python-3.9/Pipfile b/jupyter/rocm/pytorch/ubi9-python-3.9/Pipfile deleted file mode 100644 index 82fc179a2..000000000 --- a/jupyter/rocm/pytorch/ubi9-python-3.9/Pipfile +++ /dev/null @@ -1,61 +0,0 @@ -[[source]] -url = "https://pypi.org/simple" -verify_ssl = true -name = "pypi" - -[[source]] -# Please keep in sync with rocm/ubi9-python-3.9/Dockerfile -url = "https://download.pytorch.org/whl/rocm6.1/" -verify_ssl = true -name = "pytorch" - -[dev-packages] - -[packages] -# PyTorch packages -tensorboard = "~=2.16.2" -torch = {version = "~=2.4.0", index = "pytorch"} -torchvision = {version = "~=0.19.0", index = "pytorch"} # https://pytorch.org/get-started/previous-versions/#linux-and-windows-1 -pytorch-triton-rocm = {version = "~=3.0.0", index = "pytorch"} -# Datascience and useful extensions -boto3 = "~=1.34.50" -kafka-python = "~=2.0.2" -matplotlib = "~=3.8.3" -numpy = "~=1.26.4" -pandas = "~=2.2.0" -plotly = "~=5.20.0" -scikit-learn = "~=1.4.0" -scipy = "~=1.12.0" -skl2onnx = "~=1.16.0" -onnxconverter-common = "~=1.13.0" # Required for skl2onnx, as upgraded version is not compatible with protobuf -codeflare-sdk = "~=0.19.1" -memray = "~=1.10.0" # any version above this would cause issue with rich package -# 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" -# Base packages -wheel = "~=0.43.0" -setuptools = "~=69.2.0" -# 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 = "3.9" diff --git a/jupyter/rocm/pytorch/ubi9-python-3.9/Pipfile.lock b/jupyter/rocm/pytorch/ubi9-python-3.9/Pipfile.lock deleted file mode 100644 index 8a87ef72c..000000000 --- a/jupyter/rocm/pytorch/ubi9-python-3.9/Pipfile.lock +++ /dev/null @@ -1,4182 +0,0 @@ -{ - "_meta": { - "hash": { - "sha256": "06a97fa7a2de54670711cf4036ed4ca1d7b55a8e3e3de1a10c3eaab85ef31f7b" - }, - "pipfile-spec": 6, - "requires": { - "python_version": "3.9" - }, - "sources": [ - { - "name": "pypi", - "url": 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"sha256:58da6168be89f0be59beb194da1250516fdaa062ccebd30127ac65d30045e10d" - ], - "markers": "python_version >= '3.8'", - "version": "==3.20.0" - } - }, - "develop": {} -} diff --git a/jupyter/rocm/pytorch/ubi9-python-3.9/de-vendor-torch.sh b/jupyter/rocm/pytorch/ubi9-python-3.9/de-vendor-torch.sh deleted file mode 100755 index 780f8815e..000000000 --- a/jupyter/rocm/pytorch/ubi9-python-3.9/de-vendor-torch.sh +++ /dev/null @@ -1,41 +0,0 @@ -#!/bin/sh -set -ex -# Replace PyTorch's vendored shared libraries with system libraries -# The script assumes that PyTorch is built with the same ROCm ABI as the -# system installation of ROCm. - -# Source: https://github.com/tiran/instructlab-containers/blob/main/containers/rocm/de-vendor-torch.sh - -PYTHON=python3.9 -ROCMLIB=/opt/rocm/lib -TORCHLIB=/opt/app-root/lib/${PYTHON}/site-packages/torch/lib - -ln -sf /usr/lib64/libdrm.so.2 ${TORCHLIB}/libdrm.so -ln -sf /usr/lib64/libdrm_amdgpu.so.1 ${TORCHLIB}/libdrm_amdgpu.so - -ln -sf ${ROCMLIB}/libamd_comgr.so.2 ${TORCHLIB}/libamd_comgr.so -ln -sf ${ROCMLIB}/libamdhip64.so.6 ${TORCHLIB}/libamdhip64.so -ln -sf ${ROCMLIB}/libhipblaslt.so.0 ${TORCHLIB}/libhipblaslt.so -ln -sf ${ROCMLIB}/libhipblas.so.2 ${TORCHLIB}/libhipblas.so -ln -sf ${ROCMLIB}/libhipfft.so.0 ${TORCHLIB}/libhipfft.so -ln -sf ${ROCMLIB}/libhiprand.so.1 ${TORCHLIB}/libhiprand.so -ln -sf ${ROCMLIB}/libhiprtc.so.6 ${TORCHLIB}/libhiprtc.so -ln -sf ${ROCMLIB}/libhipsolver.so.0 ${TORCHLIB}/libhipsolver.so -ln -sf ${ROCMLIB}/libhipsparse.so.1 ${TORCHLIB}/libhipsparse.so -ln -sf ${ROCMLIB}/libhsa-runtime64.so.1 ${TORCHLIB}/libhsa-runtime64.so -ln -sf ${ROCMLIB}/libMIOpen.so.1 ${TORCHLIB}/libMIOpen.so -ln -sf ${ROCMLIB}/librccl.so.1 ${TORCHLIB}/librccl.so -ln -sf ${ROCMLIB}/librocblas.so.4 ${TORCHLIB}/librocblas.so -ln -sf ${ROCMLIB}/librocfft.so.0 ${TORCHLIB}/librocfft.so -ln -sf ${ROCMLIB}/librocm_smi64.so.6 ${TORCHLIB}/librocm_smi64.so -ln -sf ${ROCMLIB}/librocrand.so.1 ${TORCHLIB}/librocrand.so -ln -sf ${ROCMLIB}/librocsolver.so.0 ${TORCHLIB}/librocsolver.so -ln -sf ${ROCMLIB}/librocsparse.so.1 ${TORCHLIB}/librocsparse.so -ln -sf ${ROCMLIB}/libroctracer64.so.4 ${TORCHLIB}/libroctracer64.so -ln -sf ${ROCMLIB}/libroctx64.so.4 ${TORCHLIB}/libroctx64.so - -rm -rf ${TORCHLIB}/rocblas -ln -sf ${ROCMLIB}/rocblas ${TORCHLIB}/rocblas - -rm -rf ${TORCHLIB}/hipblaslt -ln -sf ${ROCMLIB}/hipblaslt ${TORCHLIB}/hipblaslt diff --git a/jupyter/rocm/pytorch/ubi9-python-3.9/kustomize/base/kustomization.yaml b/jupyter/rocm/pytorch/ubi9-python-3.9/kustomize/base/kustomization.yaml deleted file mode 100644 index 8bb29019c..000000000 --- a/jupyter/rocm/pytorch/ubi9-python-3.9/kustomize/base/kustomization.yaml +++ /dev/null @@ -1,13 +0,0 @@ ---- -apiVersion: kustomize.config.k8s.io/v1beta1 -kind: Kustomization -namePrefix: rocm-jupyter-pytorch-ubi9-python-3-9- -commonLabels: - app: rocm-jupyter-pytorch-ubi9-python-3-9 -resources: - - service.yaml - - statefulset.yaml -images: - - name: quay.io/opendatahub/workbench-images - newName: quay.io/opendatahub/workbench-images - newTag: rocm-jupyter-pytorch-ubi9-python-3.9 diff --git a/jupyter/rocm/pytorch/ubi9-python-3.9/kustomize/base/service.yaml b/jupyter/rocm/pytorch/ubi9-python-3.9/kustomize/base/service.yaml deleted file mode 100644 index d6f7128e8..000000000 --- a/jupyter/rocm/pytorch/ubi9-python-3.9/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/rocm/pytorch/ubi9-python-3.9/kustomize/base/statefulset.yaml b/jupyter/rocm/pytorch/ubi9-python-3.9/kustomize/base/statefulset.yaml deleted file mode 100644 index 44a883a3b..000000000 --- a/jupyter/rocm/pytorch/ubi9-python-3.9/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:rocm-jupyter-pytorch-ubi9-python-3.9 - 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/rocm/pytorch/ubi9-python-3.9/test/test_notebook.ipynb b/jupyter/rocm/pytorch/ubi9-python-3.9/test/test_notebook.ipynb deleted file mode 100644 index 68f62d0a5..000000000 --- a/jupyter/rocm/pytorch/ubi9-python-3.9/test/test_notebook.ipynb +++ /dev/null @@ -1,163 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "import unittest\n", - "import torch\n", - "import math\n", - "import os\n", - "import torchvision.transforms as transforms\n", - "from PIL import Image\n", - "from torch.utils.tensorboard import SummaryWriter\n", - "from platform import python_version\n", - "import torchvision.models as models\n", - "\n", - "class TestPytorchNotebook(unittest.TestCase):\n", - " \n", - " def test_python_version(self):\n", - " expected_major_minor = '3.9' # Set the expected version (x.y)\n", - " actual_major_minor = '.'.join(python_version().split('.')[:2]) \n", - " self.assertEqual(actual_major_minor, expected_major_minor, \"incorrect version\")\n", - " \n", - " def test_torch_version(self):\n", - " expected_major_minor = '2.3' # Set the expected version (x.y)\n", - " actual_major_minor = '.'.join(torch.__version__.split('.')[:2]) \n", - " self.assertEqual(actual_major_minor, expected_major_minor, \"incorrect version\")\n", - " \n", - " def test_tensor_creation(self):\n", - " # Test tensor creation\n", - " tensor = torch.tensor([1, 2, 3])\n", - " self.assertIsInstance(tensor, torch.Tensor)\n", - " \n", - " def test_tensor_operations(self):\n", - " # Test tensor operations\n", - " a = torch.tensor([1, 2, 3])\n", - " b = torch.tensor([4, 5, 6])\n", - " c = a + b\n", - " self.assertTrue(torch.all(torch.eq(c, torch.tensor([5, 7, 9]))))\n", - " \n", - " def test_tensor_shape(self):\n", - " # Test tensor shape\n", - " tensor = torch.tensor([[1, 2, 3], [4, 5, 6]])\n", - " self.assertEqual(tensor.shape, (2, 3))\n", - " \n", - " def test_polynomial_fitting(self):\n", - " dtype = torch.float\n", - " device = torch.device(\"cpu\")\n", - " # device = torch.device(\"cuda:0\") # Uncomment this to run on GPU\n", - "\n", - " # Create random input and output data\n", - " x = torch.linspace(-math.pi, math.pi, 2000, device=device, dtype=dtype)\n", - " y = torch.sin(x)\n", - "\n", - " # Randomly initialize weights\n", - " a = torch.randn((), device=device, dtype=dtype)\n", - " b = torch.randn((), device=device, dtype=dtype)\n", - " c = torch.randn((), device=device, dtype=dtype)\n", - " d = torch.randn((), device=device, dtype=dtype)\n", - "\n", - " learning_rate = 1e-6\n", - " for t in range(2000):\n", - " # Forward pass: compute predicted y\n", - " y_pred = a + b * x + c * x ** 2 + d * x ** 3\n", - "\n", - " # Compute and print loss\n", - " loss = (y_pred - y).pow(2).sum().item()\n", - " if t % 100 == 99:\n", - " print(t, loss)\n", - "\n", - " # Backprop to compute gradients of a, b, c, d with respect to loss\n", - " grad_y_pred = 2.0 * (y_pred - y)\n", - " grad_a = grad_y_pred.sum()\n", - " grad_b = (grad_y_pred * x).sum()\n", - " grad_c = (grad_y_pred * x ** 2).sum()\n", - " grad_d = (grad_y_pred * x ** 3).sum()\n", - "\n", - " # Update weights using gradient descent\n", - " a -= learning_rate * grad_a\n", - " b -= learning_rate * grad_b\n", - " c -= learning_rate * grad_c\n", - " d -= learning_rate * grad_d\n", - "\n", - "\n", - " print(f'Result: y = {a.item()} + {b.item()} x + {c.item()} x^2 + {d.item()} x^3')\n", - " \n", - " def test_image_transform(self):\n", - " # Define a sample image\n", - " sample_image = Image.new('RGB', (100, 100), color='red')\n", - "\n", - " # Define a transformation pipeline\n", - " transform = transforms.Compose([\n", - " transforms.Resize((64, 64)),\n", - " transforms.ToTensor()\n", - " ])\n", - "\n", - " # Apply the transformation\n", - " transformed_image = transform(sample_image)\n", - "\n", - " # Check if the transformed image is a PyTorch tensor\n", - " self.assertTrue(isinstance(transformed_image, torch.Tensor))\n", - "\n", - " # Check if the transformed image has the correct shape\n", - " self.assertEqual(transformed_image.shape, (3, 64, 64)) # Assuming RGB image\n", - "\n", - " def test_tensorboard_integration(self):\n", - " # Define a sample image\n", - " sample_image = Image.new('RGB', (100, 100), color='red')\n", - "\n", - " # Define a transformation pipeline\n", - " transform = transforms.Compose([\n", - " transforms.Resize((64, 64)),\n", - " transforms.ToTensor()\n", - " ])\n", - "\n", - " # Apply the transformation\n", - " transformed_image = transform(sample_image)\n", - "\n", - " # Initialize TensorBoard writer\n", - " writer = SummaryWriter(log_dir=\"./logs\")\n", - "\n", - " # Add the transformed image to TensorBoard\n", - " writer.add_image(\"Transformed Image\", transformed_image, global_step=0)\n", - "\n", - " # Close the writer\n", - " writer.close()\n", - "\n", - " # You can manually check the generated TensorBoard logs to verify the image\n", - "\n", - " # Assert that the writer has been successfully created and used\n", - " self.assertTrue(isinstance(writer, SummaryWriter))\n", - " \n", - " def test_convert_to_onnx(self):\n", - " # Load a pre-trained PyTorch model (for example, ResNet-18)\n", - " model = models.resnet18(pretrained=True)\n", - " model.eval()\n", - "\n", - " # Create a sample input tensor with the appropriate shape\n", - " input_tensor = torch.randn(1, 3, 224, 224) # (batch_size, channels, height, width)\n", - "\n", - " # Export the model to ONNX format\n", - " onnx_path = \"resnet18.onnx\"\n", - " torch.onnx.export(model, input_tensor, onnx_path, verbose=True)\n", - "\n", - " # Check if the ONNX file exists\n", - " self.assertTrue(os.path.exists(onnx_path), f\"ONNX file {onnx_path} not found\")\n", - " \n", - "suite = unittest.TestLoader().loadTestsFromTestCase(TestPytorchNotebook)\n", - "unittest.TextTestRunner().run(suite)" - ] - } - ], - "metadata": { - "language_info": { - "name": "python" - }, - "orig_nbformat": 4 - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/jupyter/rocm/tensorflow/ubi9-python-3.11/Dockerfile b/jupyter/rocm/tensorflow/ubi9-python-3.11/Dockerfile index 1f2f8395e..86c759f0f 100644 --- a/jupyter/rocm/tensorflow/ubi9-python-3.11/Dockerfile +++ b/jupyter/rocm/tensorflow/ubi9-python-3.11/Dockerfile @@ -1,6 +1,8 @@ ARG BASE_IMAGE FROM ${BASE_IMAGE} +ARG SOURCE_CODE=jupyter/rocm/tensorflow/ubi9-python-3.11 + LABEL name="odh-notebook-jupyter-rocm-tensorflow-ubi9-python-3.11" \ summary="Jupyter AMD tensorflow notebook image for ODH notebooks" \ description="Jupyter AMD tensorflow notebook image with base Python 3.11 builder image based on UBI9 for ODH notebooks" \ @@ -12,11 +14,11 @@ LABEL name="odh-notebook-jupyter-rocm-tensorflow-ubi9-python-3.11" \ io.openshift.build.image="quay.io/opendatahub/workbench-images:rocm-jupyter-tensorflow-ubi9-python-3.11" # Install Python packages and Jupyterlab extensions from Pipfile.lock -COPY Pipfile.lock ./ +COPY ${SOURCE_CODE}/Pipfile.lock ./ # Temporary:Workaround for fixing the kfp-kubernetes 1.0.0 for elyra pipeline execution # TODO: Remove this patch once the issue is fixed with kfp-kubernetes upgrade. -COPY utils ./utils/ +COPY ${SOURCE_CODE}/utils ./utils/ RUN patch /opt/app-root/lib/python3.11/site-packages/elyra/templates/kubeflow/v2/python_dsl_template.jinja2 -i utils/python_dsl_template.patch && \ echo "Installing softwares and packages" && micropipenv install && rm -f ./Pipfile.lock && \ # Replace Notebook's launcher, "(ipykernel)" with Python's version 3.x.y \ diff --git a/jupyter/rocm/tensorflow/ubi9-python-3.11/Pipfile b/jupyter/rocm/tensorflow/ubi9-python-3.11/Pipfile index da53c1045..e587961c0 100644 --- a/jupyter/rocm/tensorflow/ubi9-python-3.11/Pipfile +++ b/jupyter/rocm/tensorflow/ubi9-python-3.11/Pipfile @@ -35,7 +35,7 @@ mysql-connector-python = "~=9.0.0" odh-elyra = "==4.2.0" -jupyterlab = "~=4.2.4" +jupyterlab = "==4.2.6" jupyter-bokeh = "~=4.0.5" jupyter-server = "~=2.14.2" jupyter-server-proxy = "~=4.3.0" diff --git a/jupyter/rocm/tensorflow/ubi9-python-3.11/Pipfile.lock b/jupyter/rocm/tensorflow/ubi9-python-3.11/Pipfile.lock index 187155540..acc7bfee9 100644 --- a/jupyter/rocm/tensorflow/ubi9-python-3.11/Pipfile.lock +++ b/jupyter/rocm/tensorflow/ubi9-python-3.11/Pipfile.lock @@ -1,7 +1,7 @@ { "_meta": { "hash": { - "sha256": "811850d3988c49b0e0f481c237e5d7a84b98485f9ae5d06db9946f3540571686" + "sha256": "2d44ff732a54f40e42d0898d201aada4d9126787336e58bca6180ef671902bf6" }, "pipfile-spec": 6, "requires": { @@ -26,93 +26,93 @@ }, "aiohappyeyeballs": { "hashes": [ - "sha256:75cf88a15106a5002a8eb1dab212525c00d1f4c0fa96e551c9fbe6f09a621586", - 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jupyter-rocm-tensorflow-ubi9-python-3-11 resources: - service.yaml - statefulset.yaml diff --git a/jupyter/rocm/tensorflow/ubi9-python-3.9/Dockerfile b/jupyter/rocm/tensorflow/ubi9-python-3.9/Dockerfile deleted file mode 100644 index 721e6bd6d..000000000 --- a/jupyter/rocm/tensorflow/ubi9-python-3.9/Dockerfile +++ /dev/null @@ -1,23 +0,0 @@ -ARG BASE_IMAGE -FROM ${BASE_IMAGE} - -LABEL name="odh-notebook-jupyter-rocm-tensorflow-ubi9-python-3.9" \ - summary="Jupyter AMD tensorflow notebook image for ODH notebooks" \ - description="Jupyter AMD tensorflow notebook image with base Python 3.9 builder image based on UBI9 for ODH notebooks" \ - io.k8s.display-name="Jupyter AMD tensorflow notebook image for ODH notebooks" \ - io.k8s.description="Jupyter AMD tensorflow notebook image with base Python 3.9 builder image based on UBI9 for ODH notebooks" \ - authoritative-source-url="https://github.com/opendatahub-io/notebooks" \ - io.openshift.build.commit.ref="main" \ - io.openshift.build.source-location="https://github.com/opendatahub-io/notebooks/tree/main/jupyter/rocm/tensorflow/ubi9-python-3.9" \ - io.openshift.build.image="quay.io/opendatahub/workbench-images:rocm-jupyter-tensorflow-ubi9-python-3.9" - -# Install Python packages and Jupyterlab extensions from Pipfile.lock -COPY Pipfile.lock ./ - -RUN echo "Installing softwares and packages" && micropipenv install && rm -f ./Pipfile.lock && \ - # Replace Notebook's launcher, "(ipykernel)" with Python's version 3.x.y \ - sed -i -e "s/Python.*/$(python --version | cut -d '.' -f-2)\",/" /opt/app-root/share/jupyter/kernels/python3/kernel.json && \ - # 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/python3.9/site-packages && fix-permissions /opt/app-root -P diff --git a/jupyter/rocm/tensorflow/ubi9-python-3.9/Pipfile b/jupyter/rocm/tensorflow/ubi9-python-3.9/Pipfile deleted file mode 100644 index 1eae02862..000000000 --- a/jupyter/rocm/tensorflow/ubi9-python-3.9/Pipfile +++ /dev/null @@ -1,55 +0,0 @@ -[[source]] -url = "https://pypi.org/simple" -verify_ssl = true -name = "pypi" - -[dev-packages] - -[packages] -tensorflow_rocm = {file = "https://repo.radeon.com/rocm/manylinux/rocm-rel-6.1/tensorflow_rocm-2.15.0-cp39-cp39-manylinux2014_x86_64.whl"} -tensorboard = "~=2.15.2" -tf2onnx = "~= 1.16.1" -# Datascience and useful extensions -boto3 = "~=1.34.50" -kafka-python = "~=2.0.2" -matplotlib = "~=3.8.3" -numpy = "~=1.26.4" -pandas = "~=2.2.0" -plotly = "~=5.20.0" -scikit-learn = "~=1.4.0" -scipy = "~=1.12.0" -skl2onnx = "~=1.16.0" -onnxconverter-common = "~=1.13.0" # Required for skl2onnx, as upgraded version is not compatible with protobuf -codeflare-sdk = "~=0.19.1" -memray = "~=1.10.0" # any version above this would cause issue with rich package -# 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" -kfp = "~=2.5.0" -kfp-kubernetes = "~=1.0.0" -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" -# 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" -# Base packages -wheel = "~=0.43.0" -setuptools = "~=69.2.0" - -[requires] -python_version = "3.9" diff --git a/jupyter/rocm/tensorflow/ubi9-python-3.9/Pipfile.lock 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"sha256:58da6168be89f0be59beb194da1250516fdaa062ccebd30127ac65d30045e10d" - ], - "markers": "python_version >= '3.8'", - "version": "==3.20.0" - } - }, - "develop": {} -} diff --git a/jupyter/rocm/tensorflow/ubi9-python-3.9/kustomize/base/kustomization.yaml b/jupyter/rocm/tensorflow/ubi9-python-3.9/kustomize/base/kustomization.yaml deleted file mode 100644 index c3d284746..000000000 --- a/jupyter/rocm/tensorflow/ubi9-python-3.9/kustomize/base/kustomization.yaml +++ /dev/null @@ -1,13 +0,0 @@ ---- -apiVersion: kustomize.config.k8s.io/v1beta1 -kind: Kustomization -namePrefix: rocm-jupyter-tensorflow-ubi9-python-3-9- -commonLabels: - app: rocm-jupyter-tensorflow-ubi9-python-3-9 -resources: - - service.yaml - - statefulset.yaml -images: - - name: quay.io/opendatahub/workbench-images - newName: quay.io/opendatahub/workbench-images - newTag: jupyter-pytorch-ubi9-python-3.9-2023a-20231002-4e9bbb3 diff --git a/jupyter/rocm/tensorflow/ubi9-python-3.9/kustomize/base/service.yaml b/jupyter/rocm/tensorflow/ubi9-python-3.9/kustomize/base/service.yaml deleted file mode 100644 index d6f7128e8..000000000 --- a/jupyter/rocm/tensorflow/ubi9-python-3.9/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/rocm/tensorflow/ubi9-python-3.9/kustomize/base/statefulset.yaml b/jupyter/rocm/tensorflow/ubi9-python-3.9/kustomize/base/statefulset.yaml deleted file mode 100644 index 70058eb48..000000000 --- a/jupyter/rocm/tensorflow/ubi9-python-3.9/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:rocm-jupyter-tensorflow-ubi9-python-3.9 - 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/rocm/tensorflow/ubi9-python-3.9/test/test_notebook.ipynb b/jupyter/rocm/tensorflow/ubi9-python-3.9/test/test_notebook.ipynb deleted file mode 100644 index 47f231916..000000000 --- a/jupyter/rocm/tensorflow/ubi9-python-3.9/test/test_notebook.ipynb +++ /dev/null @@ -1,89 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "import unittest\n", - "import tensorflow as tf\n", - "import tensorboard\n", - "import tf2onnx\n", - "from platform import python_version\n", - "\n", - "class TestTensorflowNotebook(unittest.TestCase):\n", - " \n", - " def test_python_version(self):\n", - " expected_major_minor = '3.9' # Set the expected version (x.y)\n", - " actual_major_minor = '.'.join(python_version().split('.')[:2]) \n", - " self.assertEqual(actual_major_minor, expected_major_minor, \"incorrect version\")\n", - " \n", - " def test_tensorflow_version(self):\n", - " expected_major_minor = '2.15' # Set the expected version (x.y)\n", - " actual_major_minor = '.'.join(tf.__version__.split('.')[:2]) \n", - " self.assertEqual(actual_major_minor, expected_major_minor, \"incorrect version\")\n", - " \n", - " def test_tf2onnx_conversion(self):\n", - " # Replace this with an actual TensorFlow model conversion using tf2onnx\n", - " model = tf.keras.Sequential([tf.keras.layers.Dense(1, input_shape=(10,))])\n", - " onnx_model = tf2onnx.convert.from_keras(model)\n", - " \n", - " self.assertTrue(onnx_model is not None)\n", - "\n", - " def test_mnist_model(self):\n", - " # A basic test from the official tensorflow webpage https://www.tensorflow.org/tutorials/quickstart/beginner\n", - " mnist = tf.keras.datasets.mnist\n", - " (x_train, y_train), (x_test, y_test) = mnist.load_data()\n", - " x_train, x_test = x_train / 255.0, x_test / 255.0\n", - " model = tf.keras.models.Sequential([\n", - " tf.keras.layers.Flatten(input_shape=(28, 28)),\n", - " tf.keras.layers.Dense(128, activation='relu'),\n", - " tf.keras.layers.Dropout(0.2),\n", - " tf.keras.layers.Dense(10)\n", - " ])\n", - " predictions = model(x_train[:1]).numpy()\n", - " predictions\n", - " tf.nn.softmax(predictions).numpy()\n", - " loss_fn = tf.keras.losses.SparseCategoricalCrossentropy(from_logits=True)\n", - " loss_fn(y_train[:1], predictions).numpy()\n", - " model.compile(optimizer='adam', loss=loss_fn, metrics=['accuracy'])\n", - " model.fit(x_train, y_train, epochs=5)\n", - " model.evaluate(x_test, y_test, verbose=2)\n", - " probability_model = tf.keras.Sequential([\n", - " model,\n", - " tf.keras.layers.Softmax()\n", - " ])\n", - " probability_model(x_test[:5])\n", - "\n", - " def test_tensorboard(self):\n", - " # Create a simple model\n", - " model = tf.keras.Sequential([\n", - " tf.keras.layers.Dense(10, input_shape=(5,), activation='relu'),\n", - " tf.keras.layers.Dense(1)\n", - " ])\n", - " # Compile the model\n", - " model.compile(optimizer='adam', loss='mse')\n", - " # Generate some example data\n", - " x_train = tf.random.normal((100, 5))\n", - " y_train = tf.random.normal((100, 1))\n", - " # Create a TensorBoard callback\n", - " log_dir = './logs'\n", - " tensorboard_callback = tf.keras.callbacks.TensorBoard(log_dir=log_dir)\n", - " # Train the model\n", - " model.fit(x_train, y_train, epochs=2, callbacks=[tensorboard_callback])\n", - " \n", - "suite = unittest.TestLoader().loadTestsFromTestCase(TestTensorflowNotebook)\n", - "unittest.TextTestRunner().run(suite)\n" - ] - } - ], - "metadata": { - "language_info": { - "name": "python" - }, - "orig_nbformat": 4 - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/jupyter/tensorflow/ubi9-python-3.11/Dockerfile b/jupyter/tensorflow/ubi9-python-3.11/Dockerfile index c6522fa27..9dbfdf0d3 100644 --- a/jupyter/tensorflow/ubi9-python-3.11/Dockerfile +++ b/jupyter/tensorflow/ubi9-python-3.11/Dockerfile @@ -1,6 +1,8 @@ ARG BASE_IMAGE FROM ${BASE_IMAGE} +ARG SOURCE_CODE=jupyter/tensorflow/ubi9-python-3.11 + LABEL name="odh-notebook-cuda-jupyter-tensorflow-ubi9-python-3.11" \ summary="Jupyter CUDA tensorflow notebook image for ODH notebooks" \ description="Jupyter CUDA tensorflow notebook image with base Python 3.11 builder image based on UBI9 for ODH notebooks" \ @@ -11,9 +13,9 @@ LABEL name="odh-notebook-cuda-jupyter-tensorflow-ubi9-python-3.11" \ io.openshift.build.source-location="https://github.com/opendatahub-io/notebooks/tree/main/jupyter/tensorflow/ubi9-python-3.11" \ io.openshift.build.image="quay.io/opendatahub/workbench-images:cuda-jupyter-tensorflow-ubi9-python-3.11" -COPY utils ./utils/ +COPY ${SOURCE_CODE}/utils ./utils/ # Install Python packages and Jupyterlab extensions from Pipfile.lock -COPY Pipfile.lock ./ +COPY ${SOURCE_CODE}/Pipfile.lock ./ RUN echo "Installing softwares and packages" && micropipenv install && rm -f ./Pipfile.lock diff --git a/jupyter/tensorflow/ubi9-python-3.11/Pipfile b/jupyter/tensorflow/ubi9-python-3.11/Pipfile index 720b5e6aa..593831257 100644 --- a/jupyter/tensorflow/ubi9-python-3.11/Pipfile +++ b/jupyter/tensorflow/ubi9-python-3.11/Pipfile @@ -34,7 +34,7 @@ mysql-connector-python = "~=9.0.0" # JupyterLab packages odh-elyra = "==4.2.0" -jupyterlab = "~=4.2.4" +jupyterlab = "==4.2.6" jupyter-bokeh = "~=4.0.5" jupyter-server = "~=2.14.2" jupyter-server-proxy = "~=4.3.0" diff --git a/jupyter/tensorflow/ubi9-python-3.11/Pipfile.lock b/jupyter/tensorflow/ubi9-python-3.11/Pipfile.lock index 9d8bfb6be..9d8a12bb8 100644 --- a/jupyter/tensorflow/ubi9-python-3.11/Pipfile.lock +++ b/jupyter/tensorflow/ubi9-python-3.11/Pipfile.lock @@ -1,7 +1,7 @@ { "_meta": { "hash": { - "sha256": "53bd60e678bfb6694a57f1b755d5cd915a66a6985218d153afbdd39448837b2e" + "sha256": "a95f4ec38ba04eb3a50489b9320bb1e69d05aa64be5315eed244000da0bd8fd7" }, "pipfile-spec": 6, "requires": { @@ -26,93 +26,93 @@ }, "aiohappyeyeballs": { "hashes": [ - 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- summary="Jupyter CUDA tensorflow notebook image for ODH notebooks" \ - description="Jupyter CUDA tensorflow notebook image with base Python 3.9 builder image based on UBI9 for ODH notebooks" \ - io.k8s.display-name="Jupyter CUDA tensorflow notebook image for ODH notebooks" \ - io.k8s.description="Jupyter CUDA tensorflow notebook image with base Python 3.9 builder image based on UBI9 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/tensorflow/ubi9-python-3.9" \ - io.openshift.build.image="quay.io/opendatahub/workbench-images:cuda-jupyter-tensorflow-ubi9-python-3.9" - -COPY utils ./utils/ -# Install Python packages and Jupyterlab extensions from Pipfile.lock -COPY Pipfile.lock ./ - -RUN echo "Installing softwares and packages" && micropipenv install && rm -f ./Pipfile.lock - -# Temporary:Workaround for fixing the kfp-kubernetes 1.0.0 for elyra pipeline execution -# TODO: Remove this patch once the issue is fixed with kfp-kubernetes upgrade. -RUN patch /opt/app-root/lib/python3.9/site-packages/elyra/templates/kubeflow/v2/python_dsl_template.jinja2 -i utils/python_dsl_template.patch && \ - # 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 && \ - # 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/python3.9/site-packages && \ - fix-permissions /opt/app-root -P diff --git a/jupyter/tensorflow/ubi9-python-3.9/Pipfile b/jupyter/tensorflow/ubi9-python-3.9/Pipfile deleted file mode 100644 index 8f6517e71..000000000 --- a/jupyter/tensorflow/ubi9-python-3.9/Pipfile +++ /dev/null @@ -1,56 +0,0 @@ -[[source]] -url = "https://pypi.org/simple" -verify_ssl = true -name = "pypi" - -[dev-packages] - -[packages] -# TensorFlow packages -tensorflow = "~=2.15.0" -tensorboard = "~=2.15.2" -tf2onnx = "~= 1.16.1" -# Datascience and useful extensions -boto3 = "~=1.34.50" -kafka-python = "~=2.0.2" -matplotlib = "~=3.8.3" -numpy = "~=1.26.4" -pandas = "~=2.2.0" -plotly = "~=5.20.0" -scikit-learn = "~=1.4.0" -scipy = "~=1.12.0" -skl2onnx = "~=1.16.0" -onnxconverter-common = "~=1.13.0" # Required for skl2onnx, as upgraded version is not compatible with protobuf -codeflare-sdk = "~=0.19.1" -memray = "~=1.10.0" # any version above this would cause issue with rich package -# 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" -kfp = "~=2.5.0" -kfp-kubernetes = "~=1.0.0" -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 = "3.9" diff --git a/jupyter/tensorflow/ubi9-python-3.9/Pipfile.lock b/jupyter/tensorflow/ubi9-python-3.9/Pipfile.lock deleted file mode 100644 index 510f197a9..000000000 --- a/jupyter/tensorflow/ubi9-python-3.9/Pipfile.lock +++ /dev/null @@ -1,4579 +0,0 @@ -{ - "_meta": { - "hash": { - "sha256": "bf0b1aadfea0e9640d776cff040345d4de412928d8f69f97a03f7fb7d23df16d" - }, - 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jupyter-tensorflow-ubi9-python-3-9- -commonLabels: - app: jupyter-tensorflow-ubi9-python-3-9 -resources: - - service.yaml - - statefulset.yaml -images: - - name: quay.io/opendatahub/workbench-images - newName: quay.io/opendatahub/workbench-images - newTag: cuda-jupyter-tensorflow-ubi9-python-3.9 diff --git a/jupyter/tensorflow/ubi9-python-3.9/kustomize/base/service.yaml b/jupyter/tensorflow/ubi9-python-3.9/kustomize/base/service.yaml deleted file mode 100644 index d6f7128e8..000000000 --- a/jupyter/tensorflow/ubi9-python-3.9/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/tensorflow/ubi9-python-3.9/kustomize/base/statefulset.yaml b/jupyter/tensorflow/ubi9-python-3.9/kustomize/base/statefulset.yaml deleted file mode 100644 index e35a88ce2..000000000 --- a/jupyter/tensorflow/ubi9-python-3.9/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:cuda-jupyter-tensorflow-ubi9-python-3.9 - 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/tensorflow/ubi9-python-3.9/test/test_notebook.ipynb b/jupyter/tensorflow/ubi9-python-3.9/test/test_notebook.ipynb deleted file mode 100644 index 47f231916..000000000 --- a/jupyter/tensorflow/ubi9-python-3.9/test/test_notebook.ipynb +++ /dev/null @@ -1,89 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "import unittest\n", - "import tensorflow as tf\n", - "import tensorboard\n", - "import tf2onnx\n", - "from platform import python_version\n", - "\n", - "class TestTensorflowNotebook(unittest.TestCase):\n", - " \n", - " def test_python_version(self):\n", - " expected_major_minor = '3.9' # Set the expected version (x.y)\n", - " actual_major_minor = '.'.join(python_version().split('.')[:2]) \n", - " self.assertEqual(actual_major_minor, expected_major_minor, \"incorrect version\")\n", - " \n", - " def test_tensorflow_version(self):\n", - " expected_major_minor = '2.15' # Set the expected version (x.y)\n", - " actual_major_minor = '.'.join(tf.__version__.split('.')[:2]) \n", - " self.assertEqual(actual_major_minor, expected_major_minor, \"incorrect version\")\n", - " \n", - " def test_tf2onnx_conversion(self):\n", - " # Replace this with an actual TensorFlow model conversion using tf2onnx\n", - " model = tf.keras.Sequential([tf.keras.layers.Dense(1, input_shape=(10,))])\n", - " onnx_model = tf2onnx.convert.from_keras(model)\n", - " \n", - " self.assertTrue(onnx_model is not None)\n", - "\n", - " def test_mnist_model(self):\n", - " # A basic test from the official tensorflow webpage https://www.tensorflow.org/tutorials/quickstart/beginner\n", - " mnist = tf.keras.datasets.mnist\n", - " (x_train, y_train), (x_test, y_test) = mnist.load_data()\n", - " x_train, x_test = x_train / 255.0, x_test / 255.0\n", - " model = tf.keras.models.Sequential([\n", - " tf.keras.layers.Flatten(input_shape=(28, 28)),\n", - " tf.keras.layers.Dense(128, activation='relu'),\n", - " tf.keras.layers.Dropout(0.2),\n", - " tf.keras.layers.Dense(10)\n", - " ])\n", - " predictions = model(x_train[:1]).numpy()\n", - " predictions\n", - " tf.nn.softmax(predictions).numpy()\n", - " loss_fn = tf.keras.losses.SparseCategoricalCrossentropy(from_logits=True)\n", - " loss_fn(y_train[:1], predictions).numpy()\n", - " model.compile(optimizer='adam', loss=loss_fn, metrics=['accuracy'])\n", - " model.fit(x_train, y_train, epochs=5)\n", - " model.evaluate(x_test, y_test, verbose=2)\n", - " probability_model = tf.keras.Sequential([\n", - " model,\n", - " tf.keras.layers.Softmax()\n", - " ])\n", - " probability_model(x_test[:5])\n", - "\n", - " def test_tensorboard(self):\n", - " # Create a simple model\n", - " model = tf.keras.Sequential([\n", - " tf.keras.layers.Dense(10, input_shape=(5,), activation='relu'),\n", - " tf.keras.layers.Dense(1)\n", - " ])\n", - " # Compile the model\n", - " model.compile(optimizer='adam', loss='mse')\n", - " # Generate some example data\n", - " x_train = tf.random.normal((100, 5))\n", - " y_train = tf.random.normal((100, 1))\n", - " # Create a TensorBoard callback\n", - " log_dir = './logs'\n", - " tensorboard_callback = tf.keras.callbacks.TensorBoard(log_dir=log_dir)\n", - " # Train the model\n", - " model.fit(x_train, y_train, epochs=2, callbacks=[tensorboard_callback])\n", - " \n", - "suite = unittest.TestLoader().loadTestsFromTestCase(TestTensorflowNotebook)\n", - "unittest.TextTestRunner().run(suite)\n" - ] - } - ], - "metadata": { - "language_info": { - "name": "python" - }, - "orig_nbformat": 4 - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/jupyter/tensorflow/ubi9-python-3.9/utils/python_dsl_template.patch b/jupyter/tensorflow/ubi9-python-3.9/utils/python_dsl_template.patch deleted file mode 100644 index 21fd0e980..000000000 --- a/jupyter/tensorflow/ubi9-python-3.9/utils/python_dsl_template.patch +++ /dev/null @@ -1,67 +0,0 @@ ---- a/python_dsl_template.jinja2 2024-05-22 11:58:26.259019305 -0400 -+++ b/python_dsl_template.jinja2 2024-05-22 12:00:31.507205520 -0400 -@@ -18,7 +18,6 @@ - from kfp.kubernetes import common - from kfp.kubernetes import kubernetes_executor_config_pb2 as pb - --from kfp.kubernetes import add_toleration, add_pod_label, add_pod_annotation - - {# Load statements for custom components -#} - {# component_hash = """""" -#} -@@ -64,9 +63,6 @@ - secret.use_secret_as_env({{ task_name }}, "{{ workflow_task.task_modifiers.object_storage_secret }}", { "AWS_ACCESS_KEY_ID": "AWS_ACCESS_KEY_ID", "AWS_SECRET_ACCESS_KEY": "AWS_SECRET_ACCESS_KEY" }) - {% endif %} - {{ task_name }}.set_display_name("{{ workflow_task.name | string_delimiter_safe }}") --{% if workflow_task.doc %} -- add_pod_annotation({{ task_name }}, "elyra/node-user-doc","""{{ workflow_task.doc| string_delimiter_safe }}""") --{% endif %} - {% if workflow_task.task_modifiers.cpu_request %} - {{ task_name }}.set_cpu_request(cpu="{{ workflow_task.task_modifiers.cpu_request }}") - {% endif %} -@@ -93,16 +89,6 @@ - {% if workflow_task.task_modifiers.disable_node_caching %} - {{ task_name }}.execution_options.caching_strategy.max_cache_staleness = "P0D" - {% endif %} --{% if workflow_task.task_modifiers.pod_labels %} --{% for pod_label_key, pod_label_value in workflow_task.task_modifiers.pod_labels.items() %} -- add_pod_label({{ task_name }}, "{{ pod_label_key }}", "{{ pod_label_value }}") --{% endfor %} --{% endif %} --{% if workflow_task.task_modifiers.pod_annotations %} --{% for pod_annotation_key, pod_annotation_value in workflow_task.task_modifiers.pod_annotations.items() %} -- add_pod_annotation({{ task_name }}, "{{ pod_annotation_key }}" , """{{ pod_annotation_value | string_delimiter_safe }}""") --{% endfor %} --{% endif %} - {% if workflow_task.task_modifiers.kubernetes_secrets %} - {% for env_var, secret_dict in workflow_task.task_modifiers.kubernetes_secrets.items() %} - secret.use_secret_as_env({{ task_name }}, "{{ secret_dict.name }}", { "{{ secret_dict.key }}" : "{{ env_var }}" }) -@@ -113,29 +99,6 @@ - volume.mount_pvc({{ task_name }}, "{{ volume_dict.pvc_name }}", "{{ volume_path }}") - {% endfor %} - {% endif %} --{% if workflow_task.task_modifiers.kubernetes_tolerations %} --{% for toleration_dict in workflow_task.task_modifiers.kubernetes_tolerations.values() %} -- add_toleration( -- {{ task_name }}, -- {% if toleration_dict.key %} -- key="{{ toleration_dict.key }}", -- {% else %} -- key=None, -- {% endif %} -- operator="{{ toleration_dict.operator }}", -- {% if toleration_dict.value %} -- value="{{ toleration_dict.value | string_delimiter_safe }}", -- {% else %} -- value=None, -- {% endif %} -- {% if toleration_dict.effect %} -- effect="{{ toleration_dict.effect }}", -- {% else %} -- effect=None, -- {% endif %} -- ) --{% endfor %} --{% endif %} - {# declare upstream dependencies -#} - {% if workflow_task.upstream_workflow_task_ids %} - {% for upstream_workflow_task_id in workflow_task.upstream_workflow_task_ids %} diff --git a/jupyter/trustyai/ubi9-python-3.11/Dockerfile b/jupyter/trustyai/ubi9-python-3.11/Dockerfile index f2255beda..6bd193fb0 100644 --- a/jupyter/trustyai/ubi9-python-3.11/Dockerfile +++ b/jupyter/trustyai/ubi9-python-3.11/Dockerfile @@ -1,6 +1,8 @@ ARG BASE_IMAGE FROM ${BASE_IMAGE} +ARG SOURCE_CODE=jupyter/trustyai/ubi9-python-3.11 + LABEL name="odh-notebook-jupyter-trustyai-ubi9-python-3.11" \ summary="Jupyter trustyai notebook image for ODH notebooks" \ description="Jupyter trustyai notebook image with base Python 3.11 builder image based on UBI9 for ODH notebooks" \ @@ -21,7 +23,7 @@ RUN INSTALL_PKGS="java-17-openjdk" && \ USER 1001 # Install Python packages and Jupyterlab extensions from Pipfile.lock -COPY Pipfile.lock ./ +COPY ${SOURCE_CODE}/Pipfile.lock ./ RUN echo "Installing softwares and packages" && micropipenv install && rm -f ./Pipfile.lock && \ # Replace Notebook's launcher, "(ipykernel)" with Python's version 3.x.y \ diff --git a/jupyter/trustyai/ubi9-python-3.11/Pipfile b/jupyter/trustyai/ubi9-python-3.11/Pipfile old mode 100644 new mode 100755 index 1f7ed2a76..66ad651ea --- a/jupyter/trustyai/ubi9-python-3.11/Pipfile +++ b/jupyter/trustyai/ubi9-python-3.11/Pipfile @@ -14,7 +14,7 @@ name = "pytorch" # PyTorch packages torch = {version = "~=2.2.1", index = "pytorch"} # TrustyAI packages -transformers = "~=4.36.2" +transformers = "~=4.38.0" datasets = "~=2.21.0" accelerate = "~=0.34.2" trustyai = "~=0.6.1" @@ -30,7 +30,8 @@ scikit-learn = "~=1.2.1" # Should be pinned down to this version in order to be scipy = "~=1.14.1" skl2onnx = "~=1.17.0" onnxconverter-common = "~=1.13.0" # Required for skl2onnx, as upgraded version is not compatible with protobuf -codeflare-sdk = "~=0.24.0" +codeflare-sdk = "~=0.25.0" +kubeflow-training = {extras = ["huggingface"], version = "==1.8.1"} # DB connectors pymongo = "~=4.8.0" @@ -41,7 +42,7 @@ mysql-connector-python = "~=9.0.0" # JupyterLab packages odh-elyra = "==4.2.0" -jupyterlab = "~=4.2.4" +jupyterlab = "==4.2.6" jupyter-bokeh = "~=3.0.5" # Should be pinned down to this version in order to be compatible with trustyai jupyter-server = "~=2.14.2" jupyter-server-proxy = "~=4.3.0" diff --git a/jupyter/trustyai/ubi9-python-3.11/Pipfile.lock b/jupyter/trustyai/ubi9-python-3.11/Pipfile.lock index d937b2e67..dbefb3037 100644 --- a/jupyter/trustyai/ubi9-python-3.11/Pipfile.lock +++ b/jupyter/trustyai/ubi9-python-3.11/Pipfile.lock @@ -1,7 +1,7 @@ { "_meta": { "hash": { - "sha256": "fdf4a74e7f27ce5363d4e582d96d7cf91e41bff1fee8fb6673ae5c8b249bdeb4" + "sha256": "fd0034ee9b21400d66902cda33336b0bef591fffcd22e6cf6769f7944e17e5af" }, "pipfile-spec": 6, "requires": { @@ -32,93 +32,93 @@ }, "aiohappyeyeballs": { "hashes": [ - "sha256:75cf88a15106a5002a8eb1dab212525c00d1f4c0fa96e551c9fbe6f09a621586", - "sha256:8a7a83727b2756f394ab2895ea0765a0a8c475e3c71e98d43d76f22b4b435572" + "sha256:5fdd7d87889c63183afc18ce9271f9b0a7d32c2303e394468dd45d514a757745", + "sha256:a980909d50efcd44795c4afeca523296716d50cd756ddca6af8c65b996e27de8" ], "markers": "python_version >= '3.8'", - "version": "==2.4.3" + "version": "==2.4.4" }, "aiohttp": { "hashes": [ - "sha256:018f1b04883a12e77e7fc161934c0f298865d3a484aea536a6a2ca8d909f0ba0", - "sha256:01a8aca4af3da85cea5c90141d23f4b0eee3cbecfd33b029a45a80f28c66c668", - "sha256:04b0cc74d5a882c9dacaeeccc1444f0233212b6f5be8bc90833feef1e1ce14b9", - "sha256:0de6466b9d742b4ee56fe1b2440706e225eb48c77c63152b1584864a236e7a50", - "sha256:12724f3a211fa243570e601f65a8831372caf1a149d2f1859f68479f07efec3d", - 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summary="Jupyter trustyai notebook image for ODH notebooks" \ - description="Jupyter trustyai notebook image with base Python 3.9 builder image based on UBI9 for ODH notebooks" \ - io.k8s.display-name="Jupyter trustyai notebook image for ODH notebooks" \ - io.k8s.description="Jupyter trustyai notebook image with base Python 3.9 builder image based on UBI9 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/trustyai/ubi9-python-3.9" \ - io.openshift.build.image="quay.io/opendatahub/workbench-images:jupyter-trustyai-ubi9-python-3.9" - -USER 0 - -# Install jre that is needed to run the trustyai library -RUN INSTALL_PKGS="java-17-openjdk" && \ - yum install -y --setopt=tsflags=nodocs $INSTALL_PKGS && \ - yum -y clean all --enablerepo='*' - -USER 1001 - -# Install Python packages and Jupyterlab extensions from Pipfile.lock -COPY Pipfile.lock ./ - -RUN echo "Installing softwares and packages" && micropipenv install && rm -f ./Pipfile.lock && \ - # Replace Notebook's launcher, "(ipykernel)" with Python's version 3.x.y \ - sed -i -e "s/Python.*/$(python --version | cut -d '.' -f-2)\",/" /opt/app-root/share/jupyter/kernels/python3/kernel.json && \ - # 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/python3.9/site-packages && \ - fix-permissions /opt/app-root -P diff --git a/jupyter/trustyai/ubi9-python-3.9/Pipfile b/jupyter/trustyai/ubi9-python-3.9/Pipfile deleted file mode 100644 index b45c5768a..000000000 --- a/jupyter/trustyai/ubi9-python-3.9/Pipfile +++ /dev/null @@ -1,62 +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 -torch = {version = "~=2.2.1", index = "pytorch"} -# TrustyAI packages -transformers = "~=4.36.2" -datasets = "~=2.21.0" -accelerate = "~=0.34.2" -trustyai = "~=0.6.1" -# Datascience and useful extensions -boto3 = "~=1.34.50" -kafka-python = "~=2.0.2" -matplotlib = "~=3.6.3" -numpy = "~=1.24.1" -pandas = "~=1.5.3" -plotly = "~=5.20.0" -scikit-learn = "~=1.4.0" -scipy = "~=1.12.0" -skl2onnx = "~=1.16.0" -onnxconverter-common = "~=1.13.0" # Required for skl2onnx, as upgraded version is not compatible with protobuf -codeflare-sdk = "~=0.19.1" -memray = "~=1.10.0" # any version above this would cause issue with rich package -# 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 = "3.9" diff --git a/jupyter/trustyai/ubi9-python-3.9/Pipfile.lock b/jupyter/trustyai/ubi9-python-3.9/Pipfile.lock deleted file mode 100644 index 862288bef..000000000 --- a/jupyter/trustyai/ubi9-python-3.9/Pipfile.lock +++ /dev/null @@ -1,5005 +0,0 @@ -{ - "_meta": { - "hash": { - "sha256": "5db0b9c93e1eefb3f4b787733176c7d4cddedee5069cddecb79f7d13426f3a53" 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a/jupyter/trustyai/ubi9-python-3.9/kustomize/base/kustomization.yaml b/jupyter/trustyai/ubi9-python-3.9/kustomize/base/kustomization.yaml deleted file mode 100644 index 3b98b4455..000000000 --- a/jupyter/trustyai/ubi9-python-3.9/kustomize/base/kustomization.yaml +++ /dev/null @@ -1,13 +0,0 @@ ---- -apiVersion: kustomize.config.k8s.io/v1beta1 -kind: Kustomization -namePrefix: jupyter-trustyai-ubi9-python-3-9- -commonLabels: - app: jupyter-trustyai-ubi9-python-3-9 -resources: - - service.yaml - - statefulset.yaml -images: - - name: quay.io/opendatahub/workbench-images - newName: quay.io/opendatahub/workbench-images - newTag: cuda-jupyter-trustyai-ubi9-python-3.9 diff --git a/jupyter/trustyai/ubi9-python-3.9/kustomize/base/service.yaml b/jupyter/trustyai/ubi9-python-3.9/kustomize/base/service.yaml deleted file mode 100644 index d6f7128e8..000000000 --- a/jupyter/trustyai/ubi9-python-3.9/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/trustyai/ubi9-python-3.9/kustomize/base/statefulset.yaml b/jupyter/trustyai/ubi9-python-3.9/kustomize/base/statefulset.yaml deleted file mode 100644 index 3414e0994..000000000 --- a/jupyter/trustyai/ubi9-python-3.9/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-trustyai-ubi9-python-3.9 - 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/trustyai/ubi9-python-3.9/test/income-biased.csv b/jupyter/trustyai/ubi9-python-3.9/test/income-biased.csv deleted file mode 100644 index 0db105d0b..000000000 --- a/jupyter/trustyai/ubi9-python-3.9/test/income-biased.csv +++ /dev/null @@ -1,10001 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-47,6,1,0 -56,7,1,0 -22,1,1,0 -49,7,1,0 -86,2,1,1 -50,4,1,0 -75,0,0,0 -94,7,1,0 -38,2,0,1 -2,7,1,0 -76,6,1,1 -54,7,1,1 -74,1,1,1 -92,0,1,1 -87,7,1,0 -2,0,1,0 -50,3,1,0 -20,5,1,0 -34,2,1,0 -25,2,1,1 -73,5,1,1 -58,3,1,1 diff --git a/jupyter/trustyai/ubi9-python-3.9/test/test_notebook.ipynb b/jupyter/trustyai/ubi9-python-3.9/test/test_notebook.ipynb deleted file mode 100644 index 6628e383b..000000000 --- a/jupyter/trustyai/ubi9-python-3.9/test/test_notebook.ipynb +++ /dev/null @@ -1,303 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": null, - "id": "df03ef8f-cfd8-42d6-8d37-28c92ecb63b0", - "metadata": {}, - "outputs": [], - "source": [ - "import unittest\n", - "from unittest import mock\n", - "import pandas as pd\n", - "import trustyai as trustyai\n", - "from platform import python_version\n", - "from trustyai.metrics.fairness.group import statistical_parity_difference\n", - "from trustyai.model import output\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", - "import jupyterlab as jp\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 = '3.9'\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", - "class TestPandas(unittest.TestCase):\n", - " def test_version(self):\n", - " expected_major_minor = '1.5'\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 = '1.12'\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 = '1.4'\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 = '3.6'\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", - "class TestTrustyaiNotebook(unittest.TestCase):\n", - "\n", - " def test_trustyai_version(self): \n", - " expected_major_minor = '0.6' # Set the expected version (x.y) \n", - " actual_major_minor = get_major_minor(trustyai.__version__)\n", - " self.assertEqual(actual_major_minor, expected_major_minor, \"incorrect version\")\n", - "\n", - " def test_fairnessmetrics(self):\n", - " url_unbiased = \"https://raw.githubusercontent.com/opendatahub-io/notebooks/main/jupyter/trustyai/ubi9-python-3.9/test/income-unbiased.csv\"\n", - " nobias = pd.read_csv(url_unbiased, index_col=False)\n", - " \n", - " nobias = pd.read_csv(url_unbiased, index_col=False)\n", - " nobias.groupby(['gender', 'income'])['income'].count()\n", - " nobias.groupby(['gender', 'income'])['income'].count().unstack().plot.bar()\n", - " \n", - " nobias_privileged = nobias[nobias.gender == 1]\n", - " nobias_unprivileged = nobias[nobias.gender == 0]\n", - " favorable = output(\"income\", dtype=\"number\", value=1)\n", - " score = statistical_parity_difference(privileged=nobias_privileged,\n", - " unprivileged=nobias_unprivileged,\n", - " favorable=[favorable])\n", - " self.assertTrue(score >= 0.0036255104824703954) \n", - " print(\"On the test_fairness_metrics test case the statistical_parity_difference score for this dataset is between the threshold [-0.1,0.1], which classifies the model as reasonably fair.\")\n", - " \n", - " def test_datafairness(self):\n", - " url_biased = \"https://raw.githubusercontent.com/opendatahub-io/notebooks/main/jupyter/trustyai/ubi9-python-3.9/test/income-biased.csv\"\n", - " bias = pd.read_csv(url_biased, index_col=False)\n", - " \n", - " # Perform the data manipulations \n", - " grouped_counts = bias.groupby(['gender', 'income'])['income'].count()\n", - " unstacked_counts = bias.groupby(['gender', 'income'])['income'].count().unstack()\n", - " unstacked_counts.plot.bar()\n", - "\n", - " bias_privileged = bias[bias.gender == 1]\n", - " bias_unprivileged = bias[bias.gender == 0]\n", - " favorable = output(\"income\", dtype=\"number\", value=1)\n", - " score = statistical_parity_difference(privileged=bias_privileged,\n", - " unprivileged=bias_unprivileged,\n", - " favorable=[favorable])\n", - " self.assertTrue(score <= -0.15670061634672994)\n", - " print(\"On the test_bias_metrics test case the statistical_parity_difference score for this dataset, as expected, is outside the threshold [-0.1,0.1], which classifies the model as unfair.\")\n", - " \n", - "unittest.main(argv=[''], verbosity=2, exit=False)" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.9", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.9.16" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/jupyter/utils/README.md b/jupyter/utils/README.md new file mode 100644 index 000000000..6d4b4c235 --- /dev/null +++ b/jupyter/utils/README.md @@ -0,0 +1,5 @@ +# Shared files for all JupyterLab workbenches we have + +These files were initially duplicated into many `jupyter/` subdirectories. +In general, they are incorporated into every JupyterLab workbench, +but sometimes that's through building `FROM` base `datascience` image and not `COPY`ed directly. diff --git a/jupyter/intel/ml/ubi9-python-3.9/utils/addons/apply.sh b/jupyter/utils/addons/apply.sh similarity index 100% rename from jupyter/intel/ml/ubi9-python-3.9/utils/addons/apply.sh rename to jupyter/utils/addons/apply.sh diff --git a/jupyter/intel/ml/ubi9-python-3.9/utils/addons/partial-body.html b/jupyter/utils/addons/partial-body.html similarity index 100% rename from jupyter/intel/ml/ubi9-python-3.9/utils/addons/partial-body.html rename to jupyter/utils/addons/partial-body.html diff --git a/jupyter/intel/ml/ubi9-python-3.9/utils/addons/partial-head.html b/jupyter/utils/addons/partial-head.html similarity index 100% rename from jupyter/intel/ml/ubi9-python-3.9/utils/addons/partial-head.html rename to jupyter/utils/addons/partial-head.html diff --git a/jupyter/intel/ml/ubi9-python-3.9/utils/process.sh b/jupyter/utils/process.sh similarity index 100% rename from jupyter/intel/ml/ubi9-python-3.9/utils/process.sh rename to jupyter/utils/process.sh diff --git a/manifests/base/README.md b/manifests/base/README.md index 4096b0a31..5b675b966 100644 --- a/manifests/base/README.md +++ b/manifests/base/README.md @@ -8,7 +8,6 @@ Listing the order in which each imagestreams are introduced. 4. jupyter-pytorch-notebook-imagestream.yaml 5. jupyter-tensorflow-notebook-imagestream.yaml 6. jupyter-trustyai-notebook-imagestream.yaml -7. ~~jupyter-habana-notebook-imagestream.yaml~~ # Deprecated 8. code-server-notebook-imagestream.yaml 9. rstudio-notebook-imagestream.yaml 10. rstudio-gpu-notebook-imagestream.yaml diff --git a/manifests/base/commit.env b/manifests/base/commit.env index f424e9eb4..9f27c2502 100644 --- a/manifests/base/commit.env +++ b/manifests/base/commit.env @@ -1,21 +1,21 @@ -odh-minimal-notebook-image-commit-n=055d157 -odh-minimal-notebook-image-commit-n-1=fbadad2 -odh-minimal-gpu-notebook-image-commit-n=055d157 -odh-minimal-gpu-notebook-image-commit-n-1=fbadad2 -odh-pytorch-gpu-notebook-image-commit-n=055d157 -odh-pytorch-gpu-notebook-image-commit-n-1=fbadad2 -odh-generic-data-science-notebook-image-commit-n=055d157 -odh-generic-data-science-notebook-image-commit-n-1=fbadad2 -odh-tensorflow-gpu-notebook-image-commit-n=055d157 -odh-tensorflow-gpu-notebook-image-commit-n-1=fbadad2 -odh-trustyai-notebook-image-commit-n=055d157 -odh-trustyai-notebook-image-commit-n-1=fbadad2 -odh-codeserver-notebook-image-commit-n=055d157 -odh-codeserver-notebook-image-commit-n-1=fbadad2 -odh-rstudio-notebook-image-commit-n=055d157 -odh-rstudio-notebook-image-commit-n-1=fbadad2 -odh-rstudio-gpu-notebook-image-commit-n=055d157 -odh-rstudio-gpu-notebook-image-commit-n-1=fbadad2 -odh-rocm-minimal-notebook-image-commit-n=055d157 -odh-rocm-pytorch-notebook-image-commit-n=055d157 -odh-rocm-tensorflow-notebook-image-commit-n=055d157 +odh-minimal-notebook-image-commit-n=f196583 +odh-minimal-notebook-image-commit-n-1=227fa10 +odh-minimal-gpu-notebook-image-commit-n=f196583 +odh-minimal-gpu-notebook-image-commit-n-1=227fa10 +odh-pytorch-gpu-notebook-image-commit-n=f196583 +odh-pytorch-gpu-notebook-image-commit-n-1=227fa10 +odh-generic-data-science-notebook-image-commit-n=f196583 +odh-generic-data-science-notebook-image-commit-n-1=227fa10 +odh-tensorflow-gpu-notebook-image-commit-n=f196583 +odh-tensorflow-gpu-notebook-image-commit-n-1=227fa10 +odh-trustyai-notebook-image-commit-n=f196583 +odh-trustyai-notebook-image-commit-n-1=227fa10 +odh-codeserver-notebook-image-commit-n=f196583 +odh-codeserver-notebook-image-commit-n-1=227fa10 +odh-rstudio-notebook-image-commit-n=f196583 +odh-rstudio-notebook-image-commit-n-1=227fa10 +odh-rstudio-gpu-notebook-image-commit-n=f196583 +odh-rstudio-gpu-notebook-image-commit-n-1=227fa10 +odh-rocm-minimal-notebook-image-commit-n=f196583 +odh-rocm-pytorch-notebook-image-commit-n=f196583 +odh-rocm-tensorflow-notebook-image-commit-n=f196583 diff --git a/manifests/base/params.env b/manifests/base/params.env index 5e3976865..bfc995547 100644 --- a/manifests/base/params.env +++ b/manifests/base/params.env @@ -1,21 +1,21 @@ -odh-minimal-notebook-image-n=quay.io/opendatahub/workbench-images@sha256:c37429b76996f3e49b95ae583325ca54ac24de36b90ee4b182fed425cfe226a2 -odh-minimal-notebook-image-n-1=quay.io/opendatahub/workbench-images@sha256:bb87d36e715a26f891f658f30fa318e3b7b65849a2c05a48b4cc1c407c0453ae -odh-minimal-gpu-notebook-image-n=quay.io/opendatahub/workbench-images@sha256:75037f97fd9d5d2d21d546a70196d632c8b0252ded0e5a3b6607e4657e0bab52 -odh-minimal-gpu-notebook-image-n-1=quay.io/opendatahub/workbench-images@sha256:7ae6a991800d07323dc7621a33755bec562e936bf93e2db8519cd7a8127d31b6 -odh-pytorch-gpu-notebook-image-n=quay.io/opendatahub/workbench-images@sha256:139dec96ca6a4a52511aa454025ec667f43fca9c9b413eee7325b8420a042a7a -odh-pytorch-gpu-notebook-image-n-1=quay.io/opendatahub/workbench-images@sha256:2f54a8dc31e373d7f7982a5e010dc0beddba22b51097d5189eb0fc851d8cbbe8 -odh-generic-data-science-notebook-image-n=quay.io/opendatahub/workbench-images@sha256:fe155b2b34d89079cc3e0990a683db7d7ff039ff738fef271da56f47952a61d7 -odh-generic-data-science-notebook-image-n-1=quay.io/opendatahub/workbench-images@sha256:af6ac8a40e5ba205b881dc136386f9af8f8d83bad41040f5b90471d0adb1363d -odh-tensorflow-gpu-notebook-image-n=quay.io/opendatahub/workbench-images@sha256:65811190b2a2fcbcbdc47d271127100de916914c1ba0aa22280e42aaf0bd7399 -odh-tensorflow-gpu-notebook-image-n-1=quay.io/opendatahub/workbench-images@sha256:1ca4ded610463148b4fa153e0c8a00431471754675ecbb4b14f33e036ebde57d -odh-trustyai-notebook-image-n=quay.io/opendatahub/workbench-images@sha256:de8ad2b61d293b21366c8341d9de31be377022b302ffdfb0f19f934a92c66c87 -odh-trustyai-notebook-image-n-1=quay.io/opendatahub/workbench-images@sha256:036b7a297eba40c4d02eec88ce150aa8f1ccc6e60fb5e6596d2d4235f05a7d90 -odh-codeserver-notebook-image-n=quay.io/opendatahub/workbench-images@sha256:e70de9219822d37029f02045161fac8287f7d4e0b8d386880571339275a2cd92 -odh-codeserver-notebook-image-n-1=quay.io/opendatahub/workbench-images@sha256:149b84ec5bcb7abff5433d9a97531cc820b7e34c160939f90f8fe5ecd6fe3829 -odh-rstudio-notebook-image-n=quay.io/opendatahub/workbench-images@sha256:2e9e5e9a877f060e33be5b02a33b11968415690e200e6662660c4f0c9757c28c -odh-rstudio-notebook-image-n-1=quay.io/opendatahub/workbench-images@sha256:053047d36aee7ca631c3c56d130d78e2afdfbcf46e241fd472b48fc42cbba70d -odh-rstudio-gpu-notebook-image-n=quay.io/opendatahub/workbench-images@sha256:51f5e119e1e1dec96ec69caab61c689ee8aa95d2f2366b4591b72300fe2ecefe -odh-rstudio-gpu-notebook-image-n-1=quay.io/opendatahub/workbench-images@sha256:cc3fb0ea701d4f5d0d82d6d592a40b6bd32d30d68d3bb6663372edd0b1ccb8d0 -odh-rocm-minimal-notebook-image-n=quay.io/opendatahub/workbench-images@sha256:4bcbbcf62d1e2f778892334dc656fec893f561fda7d267035f92cdffe013ac0f -odh-rocm-pytorch-notebook-image-n=quay.io/opendatahub/workbench-images@sha256:019b74fe96a65f56ae17271629aed6a6aaac325247107aab335c470521ffd073 -odh-rocm-tensorflow-notebook-image-n=quay.io/opendatahub/workbench-images@sha256:61958fc42f52a311c680322d5fdebaab12e56521fc2b1eb752183d9ba04b1668 +odh-minimal-notebook-image-n=quay.io/opendatahub/workbench-images@sha256:c74712d987b1c9844dd439b0886038aedb1ef62fd3ac5868841023032b2c28ab +odh-minimal-notebook-image-n-1=quay.io/opendatahub/workbench-images@sha256:7dabcfb39ec054027579c4e7508a56100a52e9ff310254f1893e1b815a9f02d0 +odh-minimal-gpu-notebook-image-n=quay.io/opendatahub/workbench-images@sha256:3f5c5305266bd6af50a446acfa53a8fe238e91bdc8c85e00a6a38ea1b346099b +odh-minimal-gpu-notebook-image-n-1=quay.io/opendatahub/workbench-images@sha256:552963a0e6de725ba05fe36a13fe5dbf85005b8400fbc2eff7f8c5bd1e4f6350 +odh-pytorch-gpu-notebook-image-n=quay.io/opendatahub/workbench-images@sha256:f464d79346092c0d88e84d9ea5c969145f452ec981c8e8e518e5c61df8cc1a29 +odh-pytorch-gpu-notebook-image-n-1=quay.io/opendatahub/workbench-images@sha256:a5727a50d868b93d583a044101e71525ea177d1bf42f53efc19f594285769618 +odh-generic-data-science-notebook-image-n=quay.io/opendatahub/workbench-images@sha256:c20bfeccace321ecdbb6a2b96ffb75512c315269b3aba323ef32b25528849c8b +odh-generic-data-science-notebook-image-n-1=quay.io/opendatahub/workbench-images@sha256:d5f8ef3847d8b05ab636de7e988dc0c1191c3d157d267096885ad1892349ecdd +odh-tensorflow-gpu-notebook-image-n=quay.io/opendatahub/workbench-images@sha256:c793f7c4808485ab388d75685cbd4f7d408d990867b2624a9140db56224f3d5b +odh-tensorflow-gpu-notebook-image-n-1=quay.io/opendatahub/workbench-images@sha256:37aed7eef2c9a982d2a36295fd745c84955a593cb800b29d0de6a0d2cc7ac9b6 +odh-trustyai-notebook-image-n=quay.io/opendatahub/workbench-images@sha256:787a7fc5eec78df354de3a12c913dbba48245627fb1d645e43ea85e8d3a94f8f +odh-trustyai-notebook-image-n-1=quay.io/opendatahub/workbench-images@sha256:eda75bf75e1c485a697798c3ea39f8ed930fc41335505244591caa7f1eb14b77 +odh-codeserver-notebook-image-n=quay.io/opendatahub/workbench-images@sha256:4daac289ada6751ff8f5d7a24590c1fed59fb4ecb2fd4cd7ffef38aaea38a19b +odh-codeserver-notebook-image-n-1=quay.io/opendatahub/workbench-images@sha256:1bc02724d6c9b1576923bd2161357d6946837dc587b6418d4bea864d5868f766 +odh-rstudio-notebook-image-n=quay.io/opendatahub/workbench-images@sha256:e8e7606075e78d3fa1a7dbddc50873c79f2016e6fa86030dbd0e2b7f2e25ca5e +odh-rstudio-notebook-image-n-1=quay.io/opendatahub/workbench-images@sha256:8d2e8c8f5e501423d90133e7159d0167c6a2c0862989820e1c8b738dfaa9344e +odh-rstudio-gpu-notebook-image-n=quay.io/opendatahub/workbench-images@sha256:f0db7647c6c8228b26e4e2c5d2ee5f95d7f33b855eb4ac6a6852eb1d0fb7c962 +odh-rstudio-gpu-notebook-image-n-1=quay.io/opendatahub/workbench-images@sha256:9dcfb1a9c5b0399036b8208e8d5020fcc7043bc082286f71badc3f255064447f +odh-rocm-minimal-notebook-image-n=quay.io/opendatahub/workbench-images@sha256:cafc810c6356044dfac0b3203eafef9527fab4f6bc3ce18b21d6089987224976 +odh-rocm-pytorch-notebook-image-n=quay.io/opendatahub/workbench-images@sha256:a5a92a3d7a4947b751f4b2144560f034607cd99c7a43a2bca8834631ad66f45a +odh-rocm-tensorflow-notebook-image-n=quay.io/opendatahub/workbench-images@sha256:55cce917f4d4f9fecb2078703f2896583b534bacfaa2011f1001caf0351395b9 diff --git a/poetry.lock b/poetry.lock index fcf541bac..88d4fcd77 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,23 +1,23 @@ -# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.8.4 and should not be changed by hand. [[package]] name = "attrs" -version = "23.2.0" +version = "24.2.0" description = "Classes Without Boilerplate" optional = false python-versions = ">=3.7" files = [ - {file = "attrs-23.2.0-py3-none-any.whl", hash = "sha256:99b87a485a5820b23b879f04c2305b44b951b502fd64be915879d77a7e8fc6f1"}, - {file = "attrs-23.2.0.tar.gz", hash = "sha256:935dc3b529c262f6cf76e50877d35a4bd3c1de194fd41f47a2b7ae8f19971f30"}, + {file = "attrs-24.2.0-py3-none-any.whl", hash = "sha256:81921eb96de3191c8258c199618104dd27ac608d9366f5e35d011eae1867ede2"}, + {file = "attrs-24.2.0.tar.gz", hash = "sha256:5cfb1b9148b5b086569baec03f20d7b6bf3bcacc9a42bebf87ffaaca362f6346"}, ] [package.extras] -cov = ["attrs[tests]", "coverage[toml] (>=5.3)"] -dev = ["attrs[tests]", "pre-commit"] -docs = ["furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier", "zope-interface"] -tests = ["attrs[tests-no-zope]", "zope-interface"] -tests-mypy = ["mypy (>=1.6)", "pytest-mypy-plugins"] -tests-no-zope = ["attrs[tests-mypy]", "cloudpickle", "hypothesis", "pympler", "pytest (>=4.3.0)", "pytest-xdist[psutil]"] +benchmark = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-codspeed", "pytest-mypy-plugins", "pytest-xdist[psutil]"] +cov = ["cloudpickle", "coverage[toml] (>=5.3)", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"] +dev = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pre-commit", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"] +docs = ["cogapp", "furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier (<24.7)"] +tests = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"] +tests-mypy = ["mypy (>=1.11.1)", "pytest-mypy-plugins"] [[package]] name = "colorama" @@ -43,13 +43,13 @@ files = [ [[package]] name = "packaging" -version = "24.1" +version = "24.2" description = "Core utilities for Python packages" optional = false python-versions = ">=3.8" files = [ - {file = "packaging-24.1-py3-none-any.whl", hash = "sha256:5b8f2217dbdbd2f7f384c41c628544e6d52f2d0f53c6d0c3ea61aa5d1d7ff124"}, - {file = "packaging-24.1.tar.gz", hash = "sha256:026ed72c8ed3fcce5bf8950572258698927fd1dbda10a5e981cdf0ac37f4f002"}, + {file = "packaging-24.2-py3-none-any.whl", hash = "sha256:09abb1bccd265c01f4a3aa3f7a7db064b36514d2cba19a2f694fe6150451a759"}, + {file = "packaging-24.2.tar.gz", hash = "sha256:c228a6dc5e932d346bc5739379109d49e8853dd8223571c7c5b55260edc0b97f"}, ] [[package]] @@ -67,22 +67,33 @@ files = [ dev = ["pre-commit", "tox"] testing = ["pytest", "pytest-benchmark"] +[[package]] +name = "pyfakefs" +version = "5.7.2" +description = "pyfakefs implements a fake file system that mocks the Python file system modules." +optional = false +python-versions = ">=3.7" +files = [ + {file = "pyfakefs-5.7.2-py3-none-any.whl", hash = "sha256:e1527b0e8e4b33be52f0b024ca1deb269c73eecd68457c6b0bf608d6dab12ebd"}, + {file = "pyfakefs-5.7.2.tar.gz", hash = "sha256:40da84175c5af8d9c4f3b31800b8edc4af1e74a212671dd658b21cc881c60000"}, +] + [[package]] name = "pytest" -version = "8.2.2" +version = "8.3.4" description = "pytest: simple powerful testing with Python" optional = false python-versions = ">=3.8" files = [ - {file = "pytest-8.2.2-py3-none-any.whl", hash = "sha256:c434598117762e2bd304e526244f67bf66bbd7b5d6cf22138be51ff661980343"}, - {file = "pytest-8.2.2.tar.gz", hash = "sha256:de4bb8104e201939ccdc688b27a89a7be2079b22e2bd2b07f806b6ba71117977"}, + {file = "pytest-8.3.4-py3-none-any.whl", hash = "sha256:50e16d954148559c9a74109af1eaf0c945ba2d8f30f0a3d3335edde19788b6f6"}, + {file = "pytest-8.3.4.tar.gz", hash = "sha256:965370d062bce11e73868e0335abac31b4d3de0e82f4007408d242b4f8610761"}, ] [package.dependencies] colorama = {version = "*", markers = "sys_platform == \"win32\""} iniconfig = "*" packaging = "*" -pluggy = ">=1.5,<2.0" +pluggy = ">=1.5,<2" [package.extras] dev = ["argcomplete", "attrs (>=19.2)", "hypothesis (>=3.56)", "mock", "pygments (>=2.7.2)", "requests", "setuptools", "xmlschema"] @@ -105,4 +116,4 @@ pytest = ">=7.0" [metadata] lock-version = "2.0" python-versions = "~3.12" -content-hash = "b083c8ea5b4dc42a2c76a0c2b51af47f8813ba5f40929bafa3f370f3290d971f" +content-hash = "b3040f243a10b6a64e04b687a322b7ab735d82fefc4dc45d8177c2c4f286e049" diff --git a/pyproject.toml b/pyproject.toml index 87cd2fc69..0873cd45b 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -13,6 +13,7 @@ python = "~3.12" [tool.poetry.group.dev.dependencies] pytest = "^8.2.2" pytest-subtests = "^0.12.1" +pyfakefs = "^5.7.2" [build-system] requires = ["poetry-core"] diff --git a/rocm/ubi9-python-3.11/Dockerfile b/rocm/ubi9-python-3.11/Dockerfile index e87747d63..e9aa926c9 100644 --- a/rocm/ubi9-python-3.11/Dockerfile +++ b/rocm/ubi9-python-3.11/Dockerfile @@ -2,6 +2,9 @@ # https://github.com/ROCm/ROCm-docker/blob/master/dev/Dockerfile-centos-7-complete ARG BASE_IMAGE FROM ${BASE_IMAGE} + +ARG SOURCE_CODE=rocm/ubi9-python-3.11 + LABEL name="odh-notebook-rocm-python-3.11" \ summary="ROCm Python 3.11 base image for ODH notebooks" \ description="ROCm Python 3.11 builder image based on UBI9 for ODH notebooks" \ diff --git a/rocm/ubi9-python-3.9/Dockerfile b/rocm/ubi9-python-3.9/Dockerfile deleted file mode 100644 index 82dbc9e8d..000000000 --- a/rocm/ubi9-python-3.9/Dockerfile +++ /dev/null @@ -1,40 +0,0 @@ -# Install ROCm AMD from: -# https://github.com/ROCm/ROCm-docker/blob/master/dev/Dockerfile-centos-7-complete -ARG BASE_IMAGE -FROM ${BASE_IMAGE} -LABEL name="odh-notebook-rocm-python-3.9" \ - summary="ROCm Python 3.9 base image for ODH notebooks" \ - description="ROCm Python 3.9 builder image based on UBI9 for ODH notebooks" \ - io.k8s.display-name="ROCm Python 3.9 base image for ODH notebooks" \ - io.k8s.description="ROCm Python 3.9 builder image based on UBI9 for ODH notebooks" \ - authoritative-source-url="https://github.com/opendatahub-io/notebooks" \ - io.openshift.build.commit.ref="main" \ - io.openshift.build.source-location="https://github.com/opendatahub-io/notebooks/tree/main/rocm/ubi9-python-3.9" \ - io.openshift.build.image="quay.io/opendatahub/workbench-images:rocm-ubi9-python-3.9" - -USER 0 -WORKDIR /opt/app-root/bin - -# Please keep in sync with ROCm/python3.9 dependent images -ARG ROCM_VERSION=6.1 -ARG AMDGPU_VERSION=6.1 - -# Enable epel-release repositories - -# Install the ROCm rpms -RUN echo "[ROCm]" > /etc/yum.repos.d/rocm.repo && \ - echo "name=ROCm" >> /etc/yum.repos.d/rocm.repo && \ - echo "baseurl=https://repo.radeon.com/rocm/rhel9/$ROCM_VERSION/main" >> /etc/yum.repos.d/rocm.repo && \ - echo "enabled=1" >> /etc/yum.repos.d/rocm.repo && \ - echo "gpgcheck=0" >> /etc/yum.repos.d/rocm.repo && \ - echo "[amdgpu]" > /etc/yum.repos.d/amdgpu.repo && \ - echo "name=amdgpu" >> /etc/yum.repos.d/amdgpu.repo && \ - echo "baseurl=https://repo.radeon.com/amdgpu/$AMDGPU_VERSION/rhel/9.4/main/x86_64" >> /etc/yum.repos.d/amdgpu.repo && \ - echo "enabled=1" >> /etc/yum.repos.d/amdgpu.repo && \ - echo "gpgcheck=0" >> /etc/yum.repos.d/amdgpu.repo && \ - yum install -y rocm && \ - yum clean all && rm -rf /var/cache/yum - -# Restore notebook user workspace -USER 1001 -WORKDIR /opt/app-root/src diff --git a/rstudio/c9s-python-3.11/Dockerfile b/rstudio/c9s-python-3.11/Dockerfile index c76e15736..ee9eba021 100644 --- a/rstudio/c9s-python-3.11/Dockerfile +++ b/rstudio/c9s-python-3.11/Dockerfile @@ -1,6 +1,8 @@ ARG BASE_IMAGE FROM ${BASE_IMAGE} +ARG SOURCE_CODE=rstudio/c9s-python-3.11 + LABEL name="odh-notebook-rstudio-server-c9s-python-3.11" \ summary="RStudio Server image with python 3.11 based on CentOS Stream 9" \ description="RStudio server image with python 3.11 based on CentOS Stream 9" \ @@ -45,10 +47,11 @@ RUN wget --progress=dot:giga https://download2.rstudio.org/server/rhel9/x86_64/r # Specific RStudio config and fixes RUN chmod 1777 /var/run/rstudio-server && \ mkdir -p /usr/share/doc/R -COPY rsession.conf /etc/rstudio/rsession.conf +COPY ${SOURCE_CODE}/rsession.conf /etc/rstudio/rsession.conf # package installation -RUN dnf install -y libsodium-devel.x86_64 libgit2-devel.x86_64 libcurl-devel harfbuzz-devel.x86_64 fribidi-devel.x86_64 cmake "flexiblas-*" \ +# install necessary texlive-framed package to make Knit R markup to PDF rendering possible +RUN dnf install -y libsodium-devel.x86_64 libgit2-devel.x86_64 libcurl-devel harfbuzz-devel.x86_64 fribidi-devel.x86_64 cmake "flexiblas-*" texlive-framed \ && dnf clean all && rm -rf /var/cache/yum # Install R packages RUN R -e "install.packages('remotes')" @@ -79,10 +82,10 @@ RUN yum -y module enable nginx:$NGINX_VERSION && \ nginx -v 2>&1 | grep -qe "nginx/$NGINX_VERSION\." && echo "Found VERSION $NGINX_VERSION" && \ yum -y clean all --enablerepo='*' -COPY --chown=1001:0 supervisord/supervisord.conf /etc/supervisor/conf.d/supervisord.conf +COPY --chown=1001:0 ${SOURCE_CODE}/supervisord/supervisord.conf /etc/supervisor/conf.d/supervisord.conf # Copy extra files to the image. -COPY nginx/root/ / +COPY ${SOURCE_CODE}/nginx/root/ / # Changing ownership and user rights to support following use-cases: # 1) running container on OpenShift, whose default security model @@ -113,15 +116,15 @@ RUN sed -i -f ${NGINX_APP_ROOT}/nginxconf.sed ${NGINX_CONF_PATH} && \ rpm-file-permissions # Configure nginx -COPY nginx/serverconf/ /opt/app-root/etc/nginx.default.d/ -COPY nginx/httpconf/ /opt/app-root/etc/nginx.d/ -COPY nginx/api/ /opt/app-root/api/ +COPY ${SOURCE_CODE}/nginx/serverconf/ /opt/app-root/etc/nginx.default.d/ +COPY ${SOURCE_CODE}/nginx/httpconf/ /opt/app-root/etc/nginx.d/ +COPY ${SOURCE_CODE}/nginx/api/ /opt/app-root/api/ # Launcher WORKDIR /opt/app-root/bin -COPY utils utils/ -COPY run-rstudio.sh setup_rstudio.py rsession.sh run-nginx.sh ./ +COPY ${SOURCE_CODE}/utils utils/ +COPY ${SOURCE_CODE}/run-rstudio.sh ${SOURCE_CODE}/setup_rstudio.py ${SOURCE_CODE}/rsession.sh ${SOURCE_CODE}/run-nginx.sh ./ WORKDIR /opt/app-root/src diff --git a/rstudio/c9s-python-3.11/run-rstudio.sh b/rstudio/c9s-python-3.11/run-rstudio.sh index d9f04ddc7..ff8edafb9 100755 --- a/rstudio/c9s-python-3.11/run-rstudio.sh +++ b/rstudio/c9s-python-3.11/run-rstudio.sh @@ -25,7 +25,11 @@ do done # rstudio terminal cant see environment variables set by the container runtime # (which breaks kubectl, to fix this we store the KUBERNETES_* env vars in Renviron.site) -env | grep KUBERNETES_ >> /usr/lib64/R/etc/Renviron.site +# Also, we store proxy-related env vars lowercased by key so RStudio projects work with proxy by default +env | grep "^KUBERNETES_" >> /usr/lib64/R/etc/Renviron.site +env | grep "^HTTP_PROXY=" | tr '[:upper:]' '[:lower:]' >> /usr/lib64/R/etc/Renviron.site +env | grep "^HTTPS_PROXY=" | tr '[:upper:]' '[:lower:]' >> /usr/lib64/R/etc/Renviron.site +env | grep "^NO_PROXY=" | tr '[:upper:]' '[:lower:]' >> /usr/lib64/R/etc/Renviron.site export USER=$(whoami) diff --git a/rstudio/c9s-python-3.9/Dockerfile b/rstudio/c9s-python-3.9/Dockerfile deleted file mode 100644 index 0d086fbc0..000000000 --- a/rstudio/c9s-python-3.9/Dockerfile +++ /dev/null @@ -1,130 +0,0 @@ -ARG BASE_IMAGE -FROM ${BASE_IMAGE} - -LABEL name="odh-notebook-rstudio-server-c9s-python-3.9" \ - summary="RStudio Server image with python 3.9 based on CentOS Stream 9" \ - description="RStudio server image with python 3.9 based on CentOS Stream 9" \ - io.k8s.display-name="RStudio server image with python 3.9 based on CentOS Stream 9" \ - io.k8s.description="RStudio server image with python 3.9 based on CentOS Stream 9" \ - 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/rstudio/c9s-python-3.9" \ - io.openshift.build.image="quay.io/opendatahub/workbench-images:rstudio-c9s-python-3.9" - -USER 0 - -ENV R_VERSION=4.3.3 - -# Install R -RUN yum install -y yum-utils && \ - yum-config-manager --enable crb && \ - yum install -y https://download.fedoraproject.org/pub/epel/epel-release-latest-9.noarch.rpm && \ - INSTALL_PKGS="R-core R-core-devel R-java R-Rcpp R-highlight \ - R-littler R-littler-examples openssl-libs compat-openssl11" && \ - yum install -y --setopt=tsflags=nodocs $INSTALL_PKGS && \ - echo 'options(repos = c(CRAN = "https://cran.rstudio.com/"), download.file.method = "libcurl")' >> /usr/lib64/R/etc/Rprofile.site && \ - (umask 002;touch /usr/lib64/R/etc/Renviron.site) && \ - yum -y clean all --enablerepo='*' - -# set R library to default (used in install.r from littler) -RUN chmod -R a+w /usr/lib64/R/library -ENV LIBLOC /usr/lib64/R/library - -# set User R Library path -RUN mkdir -p /opt/app-root/bin/Rpackages/4.3 && chmod -R a+w /opt/app-root/bin/Rpackages/4.3 -ENV R_LIBS_USER /opt/app-root/bin/Rpackages/4.3 - -WORKDIR /tmp/ - -# Install RStudio -RUN wget --progress=dot:giga https://download2.rstudio.org/server/rhel9/x86_64/rstudio-server-rhel-2023.12.1-402-x86_64.rpm && \ - yum install -y rstudio-server-rhel-2023.12.1-402-x86_64.rpm && \ - rm rstudio-server-rhel-2023.12.1-402-x86_64.rpm && \ - yum -y clean all --enablerepo='*' - -# Specific RStudio config and fixes -RUN chmod 1777 /var/run/rstudio-server && \ - mkdir -p /usr/share/doc/R -COPY rsession.conf /etc/rstudio/rsession.conf - -# package installation -RUN dnf install -y libsodium-devel.x86_64 libgit2-devel.x86_64 libcurl-devel harfbuzz-devel.x86_64 fribidi-devel.x86_64 cmake "flexiblas-*" \ - && dnf clean all && rm -rf /var/cache/yum -# Install R packages -RUN R -e "install.packages('remotes')" -RUN R -e "require('remotes'); \ - remotes::install_version('Rcpp','1.0.12'); \ - remotes::install_version('tidyverse','2.0.0'); \ - remotes::install_version('tidymodels','1.1.1'); \ - remotes::install_version('plumber','1.2.1'); \ - remotes::install_version('vetiver','0.2.5'); \ - remotes::install_version('devtools','2.4.5');" - -# Install NGINX to proxy RStudio and pass probes check -ENV NGINX_VERSION=1.24 \ - NGINX_SHORT_VER=124 \ - NGINX_CONFIGURATION_PATH=${APP_ROOT}/etc/nginx.d \ - NGINX_CONF_PATH=/etc/nginx/nginx.conf \ - NGINX_DEFAULT_CONF_PATH=${APP_ROOT}/etc/nginx.default.d \ - NGINX_CONTAINER_SCRIPTS_PATH=/usr/share/container-scripts/nginx \ - NGINX_APP_ROOT=${APP_ROOT} \ - NGINX_LOG_PATH=/var/log/nginx \ - NGINX_PERL_MODULE_PATH=${APP_ROOT}/etc/perl - -# Modules does not exist -RUN yum -y module enable nginx:$NGINX_VERSION && \ - INSTALL_PKGS="nss_wrapper bind-utils gettext hostname nginx nginx-mod-stream nginx-mod-http-perl fcgiwrap initscripts chkconfig supervisor" && \ - yum install -y --setopt=tsflags=nodocs $INSTALL_PKGS && \ - rpm -V $INSTALL_PKGS && \ - nginx -v 2>&1 | grep -qe "nginx/$NGINX_VERSION\." && echo "Found VERSION $NGINX_VERSION" && \ - yum -y clean all --enablerepo='*' - -COPY --chown=1001:0 supervisord/supervisord.conf /etc/supervisor/conf.d/supervisord.conf - -# Copy extra files to the image. -COPY nginx/root/ / - -# Changing ownership and user rights to support following use-cases: -# 1) running container on OpenShift, whose default security model -# is to run the container under random UID, but GID=0 -# 2) for working root-less container with UID=1001, which does not have -# to have GID=0 -# 3) for default use-case, that is running container directly on operating system, -# with default UID and GID (1001:0) -# Supported combinations of UID:GID are thus following: -# UID=1001 && GID=0 -# UID=&& GID=0 -# UID=1001 && GID= -RUN sed -i -f ${NGINX_APP_ROOT}/nginxconf.sed ${NGINX_CONF_PATH} && \ - mkdir -p ${NGINX_APP_ROOT}/etc/nginx.d/ && \ - mkdir -p ${NGINX_APP_ROOT}/etc/nginx.default.d/ && \ - mkdir -p ${NGINX_APP_ROOT}/api/ && \ - mkdir -p ${NGINX_CONTAINER_SCRIPTS_PATH}/nginx-start && \ - mkdir -p ${NGINX_LOG_PATH} && \ - mkdir -p ${NGINX_PERL_MODULE_PATH} && \ - chown -R 1001:0 ${NGINX_CONF_PATH} && \ - chown -R 1001:0 ${NGINX_APP_ROOT}/etc && \ - chown -R 1001:0 ${NGINX_CONTAINER_SCRIPTS_PATH}/nginx-start && \ - chown -R 1001:0 /var/lib/nginx /var/log/nginx /run && \ - chmod ug+rw ${NGINX_CONF_PATH} && \ - chmod -R ug+rwX ${NGINX_APP_ROOT}/etc && \ - chmod -R ug+rwX ${NGINX_CONTAINER_SCRIPTS_PATH}/nginx-start && \ - chmod -R ug+rwX /var/lib/nginx /var/log/nginx /run && \ - rpm-file-permissions - -# Configure nginx -COPY nginx/serverconf/ /opt/app-root/etc/nginx.default.d/ -COPY nginx/httpconf/ /opt/app-root/etc/nginx.d/ -COPY nginx/api/ /opt/app-root/api/ - -# Launcher -WORKDIR /opt/app-root/bin - -COPY utils utils/ -COPY run-rstudio.sh setup_rstudio.py rsession.sh run-nginx.sh ./ - -WORKDIR /opt/app-root/src - -USER 1001 - -CMD ["/opt/app-root/bin/run-rstudio.sh"] diff --git a/rstudio/c9s-python-3.9/kustomize/base/kustomization.yaml b/rstudio/c9s-python-3.9/kustomize/base/kustomization.yaml deleted file mode 100644 index 1b5a61966..000000000 --- a/rstudio/c9s-python-3.9/kustomize/base/kustomization.yaml +++ /dev/null @@ -1,10 +0,0 @@ ---- -apiVersion: kustomize.config.k8s.io/v1beta1 -kind: Kustomization -namePrefix: rstudio- -resources: - - pod.yaml -images: - - name: rstudio-workbench - newName: quay.io/opendatahub/workbench-images - newTag: rstudio-c9s-python-3.9 diff --git a/rstudio/c9s-python-3.9/kustomize/base/pod.yaml b/rstudio/c9s-python-3.9/kustomize/base/pod.yaml deleted file mode 100644 index 18f2d0aab..000000000 --- a/rstudio/c9s-python-3.9/kustomize/base/pod.yaml +++ /dev/null @@ -1,22 +0,0 @@ ---- -apiVersion: v1 -kind: Pod -metadata: - name: pod - labels: - app: rstudio-image -spec: - containers: - - name: rstudio - image: rstudio-workbench - command: ["/bin/sh", "-c", "while true ; do date; sleep 5; done;"] - imagePullPolicy: Always - ports: - - containerPort: 8787 - resources: - limits: - cpu: 500m - memory: 500Mi - requests: - cpu: 500m - memory: 500Mi diff --git a/rstudio/c9s-python-3.9/nginx/api/kernels/access.cgi b/rstudio/c9s-python-3.9/nginx/api/kernels/access.cgi deleted file mode 100755 index 79f37cda7..000000000 --- a/rstudio/c9s-python-3.9/nginx/api/kernels/access.cgi +++ /dev/null @@ -1,15 +0,0 @@ -#!/bin/bash -echo "Status: 200" -echo "Content-type: application/json" -echo -# Retrieve last line from custom logs -LOG_TAIL=$(tail -n 1 /var/log/nginx/rstudio.access.log) -# Extract last_activity field -LAST_ACTIVITY=$(echo $LOG_TAIL | grep -Po 'last_activity":"\K.*?(?=")') -if [[ $(date -d $LAST_ACTIVITY"+10 minutes" +%s) -lt $(date +%s) ]]; then - # No activity for the past 10mn, we consider code-server idle and begin to send idle response - # As logs always write "busy", we first substitute with "idle" in the answer - sed s/busy/idle/ <<<"$LOG_TAIL" -else - echo $LOG_TAIL -fi \ No newline at end of file diff --git a/rstudio/c9s-python-3.9/nginx/api/probe.cgi b/rstudio/c9s-python-3.9/nginx/api/probe.cgi deleted file mode 100755 index 2d0df7396..000000000 --- a/rstudio/c9s-python-3.9/nginx/api/probe.cgi +++ /dev/null @@ -1,12 +0,0 @@ -#!/bin/bash -if [[ $(ps -aux | grep server | grep rsession) ]]; then - echo "Status: 200" - echo "Content-type: text/html" - echo - echo "RServer is up!" -else - echo "Status: 404" - echo "Content-type: text/html" - echo "" - echo "RServer is not running!" -fi \ No newline at end of file diff --git a/rstudio/c9s-python-3.9/nginx/httpconf/http.conf b/rstudio/c9s-python-3.9/nginx/httpconf/http.conf deleted file mode 100644 index 50a0a13ff..000000000 --- a/rstudio/c9s-python-3.9/nginx/httpconf/http.conf +++ /dev/null @@ -1,39 +0,0 @@ -# Make WebSockets working -map $http_upgrade $connection_upgrade { - default upgrade; - '' close; - } - -### -# Custom logging for direct last_activity based culling, brace yourself! -### - -# Exclude heartbeat from logging for culling purposes -map $request $loggable { - ~\/rstudio\/events\/get_events 0; - default 1; -} - -# iso8601 with millisecond precision transformer (mimicking Jupyter output) -map $time_iso8601 $time_iso8601_p1 { - ~([^+]+) $1; -} -map $time_iso8601 $time_iso8601_p2 { - ~\+([0-9:]+)$ $1; -} -map $msec $millisec { - ~\.([0-9]+)$ $1; -} - -log_format json escape=json '[{' - '"id":"rstudio",' - '"name":"rstudio",' - '"last_activity":"$time_iso8601_p1.$millisec+$time_iso8601_p2",' - '"execution_state":"busy",' - '"connections": 1' - '}]'; - -map $http_x_forwarded_proto $custom_scheme { - default $scheme; - https https; -} diff --git a/rstudio/c9s-python-3.9/nginx/root/opt/app-root/etc/generate_container_user b/rstudio/c9s-python-3.9/nginx/root/opt/app-root/etc/generate_container_user deleted file mode 100644 index 229b986af..000000000 --- a/rstudio/c9s-python-3.9/nginx/root/opt/app-root/etc/generate_container_user +++ /dev/null @@ -1,9 +0,0 @@ -# Set current user in nss_wrapper -PASSWD_DIR="/opt/app-root/etc" - -export USER_ID=$(id -u) -export GROUP_ID=$(id -g) -envsubst < ${PASSWD_DIR}/passwd.template > ${PASSWD_DIR}/passwd -export LD_PRELOAD=libnss_wrapper.so -export NSS_WRAPPER_PASSWD=${PASSWD_DIR}/passwd -export NSS_WRAPPER_GROUP=/etc/group diff --git a/rstudio/c9s-python-3.9/nginx/root/opt/app-root/etc/passwd.template b/rstudio/c9s-python-3.9/nginx/root/opt/app-root/etc/passwd.template deleted file mode 100644 index 7ad0b7871..000000000 --- a/rstudio/c9s-python-3.9/nginx/root/opt/app-root/etc/passwd.template +++ /dev/null @@ -1,15 +0,0 @@ -root:x:0:0:root:/root:/bin/bash -bin:x:1:1:bin:/bin:/sbin/nologin -daemon:x:2:2:daemon:/sbin:/sbin/nologin -adm:x:3:4:adm:/var/adm:/sbin/nologin -lp:x:4:7:lp:/var/spool/lpd:/sbin/nologin -sync:x:5:0:sync:/sbin:/bin/sync -shutdown:x:6:0:shutdown:/sbin:/sbin/shutdown -halt:x:7:0:halt:/sbin:/sbin/halt -mail:x:8:12:mail:/var/spool/mail:/sbin/nologin -operator:x:11:0:operator:/root:/sbin/nologin -games:x:12:100:games:/usr/games:/sbin/nologin -ftp:x:14:50:FTP User:/var/ftp:/sbin/nologin -nobody:x:99:99:Nobody:/:/sbin/nologin -default:x:${USER_ID}:${GROUP_ID}:Default Application User:${HOME}:/sbin/nologin -apache:x:48:48:Apache:/usr/share/httpd:/sbin/nologin diff --git a/rstudio/c9s-python-3.9/nginx/root/opt/app-root/etc/scl_enable b/rstudio/c9s-python-3.9/nginx/root/opt/app-root/etc/scl_enable deleted file mode 100644 index aa110a0bd..000000000 --- a/rstudio/c9s-python-3.9/nginx/root/opt/app-root/etc/scl_enable +++ /dev/null @@ -1,3 +0,0 @@ -# This will make scl collection binaries work out of box. -unset BASH_ENV PROMPT_COMMAND ENV -source scl_source enable rh-nginx$NGINX_SHORT_VER diff --git a/rstudio/c9s-python-3.9/nginx/root/opt/app-root/nginxconf.sed b/rstudio/c9s-python-3.9/nginx/root/opt/app-root/nginxconf.sed deleted file mode 100644 index 37e9bb99b..000000000 --- a/rstudio/c9s-python-3.9/nginx/root/opt/app-root/nginxconf.sed +++ /dev/null @@ -1,18 +0,0 @@ -# Change port -/listen/s%80%8888 default_server% - -# One worker only -/worker_processes/s%auto%1% - -s/^user *nginx;// -s%/etc/nginx/conf.d/%/opt/app-root/etc/nginx.d/% -s%/etc/nginx/default.d/%/opt/app-root/etc/nginx.default.d/% -s%/usr/share/nginx/html%/opt/app-root/src% - -# See: https://github.com/sclorg/nginx-container/pull/69 -/error_page/d -/40x.html/,+1d -/50x.html/,+1d - -# Addition for RStudio Server -/server_name/s%server_name _%server_name ${BASE_URL}% diff --git a/rstudio/c9s-python-3.9/nginx/root/usr/share/container-scripts/nginx/common.sh b/rstudio/c9s-python-3.9/nginx/root/usr/share/container-scripts/nginx/common.sh deleted file mode 100755 index 319219cd2..000000000 --- a/rstudio/c9s-python-3.9/nginx/root/usr/share/container-scripts/nginx/common.sh +++ /dev/null @@ -1,31 +0,0 @@ -#!/bin/sh - -# get_matched_files finds file for image extending -function get_matched_files() { - local custom_dir default_dir - custom_dir="$1" - default_dir="$2" - files_matched="$3" - find "$default_dir" -maxdepth 1 -type f -name "$files_matched" -printf "%f\n" - [ -d "$custom_dir" ] && find "$custom_dir" -maxdepth 1 -type f -name "$files_matched" -printf "%f\n" -} - -# process_extending_files process extending files in $1 and $2 directories -# - source all *.sh files -# (if there are files with same name source only file from $1) -function process_extending_files() { - local custom_dir default_dir - custom_dir=$1 - default_dir=$2 - while read filename ; do - if [ $filename ]; then - echo "=> sourcing $filename ..." - # Custom file is prefered - if [ -f $custom_dir/$filename ]; then - source $custom_dir/$filename - elif [ -f $default_dir/$filename ]; then - source $default_dir/$filename - fi - fi - done <<<"$(get_matched_files "$custom_dir" "$default_dir" '*.sh' | sort -u)" -} \ No newline at end of file diff --git a/rstudio/c9s-python-3.9/nginx/serverconf/proxy.conf.template b/rstudio/c9s-python-3.9/nginx/serverconf/proxy.conf.template deleted file mode 100644 index 3c2194c35..000000000 --- a/rstudio/c9s-python-3.9/nginx/serverconf/proxy.conf.template +++ /dev/null @@ -1,67 +0,0 @@ -############### -# Fix rstudio-server auth-sign-in redirect bug -############### -rewrite ^/auth-sign-in(.*) "$custom_scheme://$http_host/rstudio/auth-sign-in$1?appUri=%2Frstudio"; -rewrite ^/auth-sign-out(.*) "$custom_scheme://$http_host/rstudio/auth-sign-out$1?appUri=%2Frstudio"; -############### - -############### -# api calls from probes get to CGI processing -############### -location /api/ { - index probe.cgi; - fastcgi_index probe.cgi; - gzip off; - access_log off; - root /opt/app-root; - fastcgi_pass unix:/var/run/fcgiwrap.socket; - include /etc/nginx/fastcgi_params; - fastcgi_param SCRIPT_FILENAME /opt/app-root$fastcgi_script_name; -} - -location = /api/kernels { - return 302 $custom_scheme://$http_host/api/kernels/; - access_log off; -} - -location /api/kernels/ { - index access.cgi; - fastcgi_index access.cgi; - gzip off; - access_log off; - root /opt/app-root; - fastcgi_pass unix:/var/run/fcgiwrap.socket; - include /etc/nginx/fastcgi_params; - fastcgi_param SCRIPT_FILENAME /opt/app-root$fastcgi_script_name; -} -############### - -############### -# api calls from culler get to CGI processing -############### -location = / { - return 302 $custom_scheme://$http_host/rstudio/; -} - -location = /rstudio { - return 302 $custom_scheme://$http_host/rstudio/; -} - -location /rstudio/ { - rewrite ^/rstudio/(.*)$ /$1 break; - # Standard RStudio/NGINX configuration - proxy_pass http://127.0.0.1:8787; - proxy_http_version 1.1; - proxy_set_header Upgrade $http_upgrade; - proxy_set_header Connection $connection_upgrade; - proxy_read_timeout 20d; - - # Needed to make it work properly - proxy_set_header X-RStudio-Request $custom_scheme://$http_host$request_uri; - proxy_set_header X-RStudio-Root-Path /rstudio; - proxy_set_header Host $http_host; - proxy_set_header X-Forwarded-Proto $custom_scheme; - - access_log /var/log/nginx/rstudio.access.log json if=$loggable; -} -############### diff --git a/rstudio/c9s-python-3.9/nginx/serverconf/proxy.conf.template_nbprefix b/rstudio/c9s-python-3.9/nginx/serverconf/proxy.conf.template_nbprefix deleted file mode 100644 index fc4897699..000000000 --- a/rstudio/c9s-python-3.9/nginx/serverconf/proxy.conf.template_nbprefix +++ /dev/null @@ -1,94 +0,0 @@ -############### -# Fix rstudio-server auth-sign-in redirect bug -############### -rewrite ^/auth-sign-in(.*) "$custom_scheme://$http_host/rstudio/auth-sign-in$1?appUri=%2Frstudio"; -rewrite ^/auth-sign-out(.*) "$custom_scheme://$http_host/rstudio/auth-sign-out$1?appUri=%2Frstudio"; -############### - -############### -# api calls from probes get to CGI processing -############### -location = ${NB_PREFIX}/api { - return 302 /api/; - access_log off; -} - -location ${NB_PREFIX}/api/ { - return 302 /api/; - access_log off; -} - -location /api/ { - index probe.cgi; - fastcgi_index probe.cgi; - gzip off; - access_log off; - root /opt/app-root; - fastcgi_pass unix:/var/run/fcgiwrap.socket; - include /etc/nginx/fastcgi_params; - fastcgi_param SCRIPT_FILENAME /opt/app-root$fastcgi_script_name; -} -############### - -############### -# api calls from culler get to CGI processing -############### -location = ${NB_PREFIX}/api/kernels { - return 302 $custom_scheme://$http_host/api/kernels/; - access_log off; -} - -location ${NB_PREFIX}/api/kernels/ { - return 302 $custom_scheme://$http_host/api/kernels/; - access_log off; -} - -location /api/kernels/ { - index access.cgi; - fastcgi_index access.cgi; - gzip off; - access_log off; - root /opt/app-root; - fastcgi_pass unix:/var/run/fcgiwrap.socket; - include /etc/nginx/fastcgi_params; - fastcgi_param SCRIPT_FILENAME /opt/app-root$fastcgi_script_name; -} -############### - -############### -# root and prefix get to RStudio endpoint -############### -location = ${NB_PREFIX} { - return 302 $custom_scheme://$http_host/rstudio/; -} - -location ${NB_PREFIX}/ { - return 302 $custom_scheme://$http_host/rstudio/; -} - -location = /rstudio { - return 302 $custom_scheme://$http_host/rstudio/; -} - -location = / { - return 302 $custom_scheme://$http_host/rstudio/; -} - -location /rstudio/ { - rewrite ^/rstudio/(.*)$ /$1 break; - # Standard RStudio/NGINX configuration - proxy_pass http://127.0.0.1:8787; - proxy_http_version 1.1; - proxy_set_header Upgrade $http_upgrade; - proxy_set_header Connection $connection_upgrade; - proxy_read_timeout 20d; - - # Needed to make it work properly - proxy_set_header X-RStudio-Request $custom_scheme://$http_host$request_uri; - proxy_set_header X-RStudio-Root-Path /rstudio; - proxy_set_header Host $http_host; - proxy_set_header X-Forwarded-Proto $custom_scheme; - - access_log /var/log/nginx/rstudio.access.log json if=$loggable; -} -############### diff --git a/rstudio/c9s-python-3.9/rsession.conf b/rstudio/c9s-python-3.9/rsession.conf deleted file mode 100644 index af7f18d3c..000000000 --- a/rstudio/c9s-python-3.9/rsession.conf +++ /dev/null @@ -1,2 +0,0 @@ -# Set library path -r-libs-user=/opt/app-root/src/Rpackages/4.3 diff --git a/rstudio/c9s-python-3.9/rsession.sh b/rstudio/c9s-python-3.9/rsession.sh deleted file mode 100755 index 55b15ce8a..000000000 --- a/rstudio/c9s-python-3.9/rsession.sh +++ /dev/null @@ -1,3 +0,0 @@ -#!/bin/bash - -/usr/lib/rstudio-server/bin/rsession "$@" \ No newline at end of file diff --git a/rstudio/c9s-python-3.9/run-nginx.sh b/rstudio/c9s-python-3.9/run-nginx.sh deleted file mode 100755 index 5d0135fa8..000000000 --- a/rstudio/c9s-python-3.9/run-nginx.sh +++ /dev/null @@ -1,26 +0,0 @@ -#!/bin/bash - -source /opt/app-root/etc/generate_container_user - -set -e - -source ${NGINX_CONTAINER_SCRIPTS_PATH}/common.sh - -# disabled, only used to source nginx files in user directory -#process_extending_files ${NGINX_APP_ROOT}/src/nginx-start ${NGINX_CONTAINER_SCRIPTS_PATH}/nginx-start - -if [ ! -v NGINX_LOG_TO_VOLUME -a -v NGINX_LOG_PATH ]; then - /bin/ln -sf /dev/stdout ${NGINX_LOG_PATH}/access.log - /bin/ln -sf /dev/stderr ${NGINX_LOG_PATH}/error.log -fi - -# substitute NB_PREFIX in proxy configuratin if it exists -if [ -z "$NB_PREFIX" ]; then - cp /opt/app-root/etc/nginx.default.d/proxy.conf.template /opt/app-root/etc/nginx.default.d/proxy.conf -else - export BASE_URL=$(echo $NB_PREFIX | awk -F/ '{ print $4"-"$3 }')$(echo $NOTEBOOK_ARGS | grep -Po 'hub_host":"\K.*?(?=")' | awk -F/ '{ print $3 }' | awk -F. '{for (i=2; i<=NF; i++) printf ".%s", $i}') - envsubst '${NB_PREFIX},${BASE_URL}' < /opt/app-root/etc/nginx.default.d/proxy.conf.template_nbprefix > /opt/app-root/etc/nginx.default.d/proxy.conf - envsubst '${BASE_URL}' < /etc/nginx/nginx.conf | tee /etc/nginx/nginx.conf -fi - -nginx \ No newline at end of file diff --git a/rstudio/c9s-python-3.9/run-rstudio.sh b/rstudio/c9s-python-3.9/run-rstudio.sh deleted file mode 100755 index 25cb38fdf..000000000 --- a/rstudio/c9s-python-3.9/run-rstudio.sh +++ /dev/null @@ -1,40 +0,0 @@ -#!/usr/bin/env bash - -# Load bash libraries -SCRIPT_DIR=$(dirname -- "$0") -source ${SCRIPT_DIR}/utils/*.sh - -# Start nginx and supervisord -run-nginx.sh & -/usr/bin/supervisord -c /etc/supervisor/conf.d/supervisord.conf & - - -# Add .bashrc for custom promt if not present -if [ ! -f "/opt/app-root/src/.bashrc" ]; then - echo 'PS1="\[\033[34;1m\][\$(pwd)]\[\033[0m\]\n\[\033[1;0m\]$ \[\033[0m\]"' > /opt/app-root/src/.bashrc -fi - -# Create lib folders if it does not exist -mkdir -p /opt/app-root/src/Rpackages/4.3 -for package in /opt/app-root/bin/Rpackages/4.3/*/; -do - package_folder=$(basename "$package") - if [ ! -d "/opt/app-root/src/Rpackages/4.3/$package_folder" ]; then - cp -r /opt/app-root/bin/Rpackages/4.3/$package_folder /opt/app-root/src/Rpackages/4.3/ - fi -done -# rstudio terminal cant see environment variables set by the container runtime -# (which breaks kubectl, to fix this we store the KUBERNETES_* env vars in Renviron.site) -env | grep KUBERNETES_ >> /usr/lib64/R/etc/Renviron.site - -export USER=$(whoami) - -# Initilize access logs for culling -echo '[{"id":"rstudio","name":"rstudio","last_activity":"'$(date -Iseconds)'","execution_state":"running","connections":1}]' > /var/log/nginx/rstudio.access.log - -# Create RStudio launch command -launch_command=$(python /opt/app-root/bin/setup_rstudio.py) - -echo $launch_command - -start_process $launch_command diff --git a/rstudio/c9s-python-3.9/setup_rstudio.py b/rstudio/c9s-python-3.9/setup_rstudio.py deleted file mode 100644 index c6d3c0d96..000000000 --- a/rstudio/c9s-python-3.9/setup_rstudio.py +++ /dev/null @@ -1,83 +0,0 @@ -import getpass -import os -import shutil -import subprocess -import tempfile -from textwrap import dedent -from urllib.parse import urlparse, urlunparse - -def get_rstudio_executable(prog): - # Find prog in known locations - other_paths = [ - # When rstudio-server deb is installed - os.path.join('/usr/lib/rstudio-server/bin', prog), - # When just rstudio deb is installed - os.path.join('/usr/lib/rstudio/bin', prog), - ] - if shutil.which(prog): - return shutil.which(prog) - - for op in other_paths: - if os.path.exists(op): - return op - - raise FileNotFoundError(f'Could not find {prog} in PATH') - -def db_config(db_dir): - ''' - Create a temporary directory to hold rserver's database, and create - the configuration file rserver uses to find the database. - - https://docs.rstudio.com/ide/server-pro/latest/database.html - https://github.com/rstudio/rstudio/tree/v1.4.1103/src/cpp/server/db - ''' - # create the rserver database config - db_conf = dedent(""" - provider=sqlite - directory={directory} - """).format(directory=db_dir) - f = tempfile.NamedTemporaryFile(mode='w', delete=False, dir=db_dir) - db_config_name = f.name - f.write(db_conf) - f.close() - return db_config_name - -def _support_arg(arg): - ret = subprocess.check_output([get_rstudio_executable('rserver'), '--help']) - return ret.decode().find(arg) != -1 - -def _get_cmd(port): - ntf = tempfile.NamedTemporaryFile() - - # use mkdtemp() so the directory and its contents don't vanish when - # we're out of scope - server_data_dir = tempfile.mkdtemp() - database_config_file = db_config(server_data_dir) - - cmd = [ - get_rstudio_executable('rserver'), - '--server-daemonize=0', - '--server-working-dir=' + os.getenv('HOME'), - '--auth-none=1', - '--www-frame-origin=same', - #'--www-address=0.0.0.0', - '--www-port=' + str(port), - '--www-verify-user-agent=0', - '--rsession-which-r=' + get_rstudio_executable('R'), - '--secure-cookie-key-file=' + ntf.name, - '--server-user=' + getpass.getuser(), - '--rsession-path=/opt/app-root/bin/rsession.sh', - ] - # Support at least v1.2.1335 and up - - #if _support_arg('www-root-path'): - # cmd.append('--www-root-path=/rstudio/') - if _support_arg('server-data-dir'): - cmd.append(f'--server-data-dir={server_data_dir}') - if _support_arg('database-config-file'): - cmd.append(f'--database-config-file={database_config_file}') - - return(' '.join(cmd)) - -if __name__ == "__main__": - print(_get_cmd(8787)) diff --git a/rstudio/c9s-python-3.9/supervisord/supervisord.conf b/rstudio/c9s-python-3.9/supervisord/supervisord.conf deleted file mode 100644 index b9927e6f8..000000000 --- a/rstudio/c9s-python-3.9/supervisord/supervisord.conf +++ /dev/null @@ -1,10 +0,0 @@ -[supervisord] -nodaemon=true -logfile=/tmp/supervisord.log -pidfile=/tmp/supervisord.pid - -[program:fcgiwrap] -command=/usr/sbin/fcgiwrap -s unix:/var/run/fcgiwrap.socket -autostart=true -autorestart=true -redirect_stderr=true diff --git a/rstudio/c9s-python-3.9/test/test_script.R b/rstudio/c9s-python-3.9/test/test_script.R deleted file mode 100644 index 6a74d56c3..000000000 --- a/rstudio/c9s-python-3.9/test/test_script.R +++ /dev/null @@ -1,23 +0,0 @@ - # Set a seed for reproducibility - set.seed(123) - - # Generate a random dataset - x <- rnorm(100) - data <- data.frame( - x = x, - y = 2 * x + rnorm(100) - ) - if ("x" %in% colnames(data) && is.numeric(data$x) && - "y" %in% colnames(data) && is.numeric(data$y)) { - # Compute basic statistics - mean_x <- mean(data$x, na.rm = TRUE) - mean_y <- mean(data$y, na.rm = TRUE) - correlation <- cor(data$x, data$y, use = "complete.obs") - # Print the statistics - cat("Mean of x:", mean_x, "\n") - cat("Mean of y:", mean_y, "\n") - cat("Correlation between x and y:", correlation, "\n") - - } else { - cat("Error: Columns 'x' and 'y' must be numeric and exist in the dataset.\n") - } \ No newline at end of file diff --git a/rstudio/c9s-python-3.9/utils/process.sh b/rstudio/c9s-python-3.9/utils/process.sh deleted file mode 100755 index e797cc428..000000000 --- a/rstudio/c9s-python-3.9/utils/process.sh +++ /dev/null @@ -1,22 +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() { - echo "Stopping rstudio-server" - rstudio-server suspend-all - sleep 5 #Wait for the session to properly stop - kill -TERM $PID -} diff --git a/runtimes/datascience/ubi9-python-3.11/Dockerfile b/runtimes/datascience/ubi9-python-3.11/Dockerfile index 43549ff5d..07971a0ac 100644 --- a/runtimes/datascience/ubi9-python-3.11/Dockerfile +++ b/runtimes/datascience/ubi9-python-3.11/Dockerfile @@ -1,6 +1,8 @@ ARG BASE_IMAGE FROM ${BASE_IMAGE} +ARG SOURCE_CODE=runtimes/datascience/ubi9-python-3.11 + LABEL name="odh-notebook-runtime-datascience-ubi9-python-3.11" \ summary="Runtime data science notebook image for ODH notebooks" \ description="Runtime data science notebook image with base Python 3.11 builder image based on UBI9 for ODH notebooks" \ @@ -14,9 +16,9 @@ LABEL name="odh-notebook-runtime-datascience-ubi9-python-3.11" \ WORKDIR /opt/app-root/bin # Install Python packages from Pipfile.lock -COPY Pipfile.lock ./ +COPY ${SOURCE_CODE}/Pipfile.lock ./ # Copy Elyra dependencies for air-gapped enviroment -COPY utils ./utils/ +COPY ${SOURCE_CODE}/utils ./utils/ RUN echo "Installing softwares and packages" && \ micropipenv install && \ diff --git a/runtimes/datascience/ubi9-python-3.11/Pipfile b/runtimes/datascience/ubi9-python-3.11/Pipfile index 895aa5ca9..e45690bd4 100644 --- a/runtimes/datascience/ubi9-python-3.11/Pipfile +++ b/runtimes/datascience/ubi9-python-3.11/Pipfile @@ -17,7 +17,7 @@ scikit-learn = "~=1.5.1" scipy = "~=1.14.1" skl2onnx = "~=1.17.0" onnxconverter-common = "~=1.13.0" # Required for skl2onnx, as upgraded version is not compatible with protobuf -codeflare-sdk = "~=0.24.0" +codeflare-sdk = "~=0.25.0" # DB connectors pymongo = "~=4.8.0" diff --git a/runtimes/datascience/ubi9-python-3.11/Pipfile.lock b/runtimes/datascience/ubi9-python-3.11/Pipfile.lock index 45a3d9938..654e74b22 100644 --- a/runtimes/datascience/ubi9-python-3.11/Pipfile.lock +++ b/runtimes/datascience/ubi9-python-3.11/Pipfile.lock @@ -1,7 +1,7 @@ { "_meta": { "hash": { - "sha256": "d928212068f9e7c79c2dd02c88c5bc2400b6a9663eb09450805daa36b51754b3" + "sha256": "07cd53921791413978e5f5c7f93e8d42ab49f30fa497073c67113945c1252ef1" }, "pipfile-spec": 6, "requires": { @@ -18,93 +18,93 @@ "default": { "aiohappyeyeballs": { "hashes": [ - "sha256:75cf88a15106a5002a8eb1dab212525c00d1f4c0fa96e551c9fbe6f09a621586", - "sha256:8a7a83727b2756f394ab2895ea0765a0a8c475e3c71e98d43d76f22b4b435572" + 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summary="Runtime data science notebook image for ODH notebooks" \ - description="Runtime data science notebook image with base Python 3.9 builder image based on UBI9 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 3.9 builder image based on UBI9 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/ubi9-python-3.9" \ - io.openshift.build.image="quay.io/opendatahub/workbench-images:runtime-datascience-ubi9-python-3.9" - -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/python3.9/site-packages && \ - fix-permissions /opt/app-root -P - -WORKDIR /opt/app-root/src diff --git a/runtimes/datascience/ubi9-python-3.9/Pipfile b/runtimes/datascience/ubi9-python-3.9/Pipfile deleted file mode 100644 index 96c1abec3..000000000 --- a/runtimes/datascience/ubi9-python-3.9/Pipfile +++ /dev/null @@ -1,47 +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 = "~=3.8.3" -numpy = "~=1.26.4" -pandas = "~=2.2.0" -plotly = "~=5.20.0" -scikit-learn = "~=1.4.0" -scipy = "~=1.12.0" -skl2onnx = "~=1.16.0" -codeflare-sdk = "~=0.19.1" -memray = "~=1.10.0" # any version above this would cause issue with rich package -# 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 = "3.9" diff --git a/runtimes/datascience/ubi9-python-3.9/Pipfile.lock b/runtimes/datascience/ubi9-python-3.9/Pipfile.lock deleted file mode 100644 index 113e903cd..000000000 --- a/runtimes/datascience/ubi9-python-3.9/Pipfile.lock +++ /dev/null @@ -1,3136 +0,0 @@ -{ - "_meta": { - "hash": { - "sha256": "29ffded2a1cb3b91e50d5bfaa7151736c8b36a521bd9c2a54366f9b0530e023e" - }, - "pipfile-spec": 6, - 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b/runtimes/datascience/ubi9-python-3.9/kustomize/base/kustomization.yaml deleted file mode 100644 index d141a0e1c..000000000 --- a/runtimes/datascience/ubi9-python-3.9/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-ubi9-python-3.9 -configMapGenerator: - - name: req-config - files: - - requirements-elyra.txt diff --git a/runtimes/datascience/ubi9-python-3.9/kustomize/base/pod.yaml b/runtimes/datascience/ubi9-python-3.9/kustomize/base/pod.yaml deleted file mode 100644 index bc5343566..000000000 --- a/runtimes/datascience/ubi9-python-3.9/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/ubi9-python-3.9/kustomize/base/requirements-elyra.txt b/runtimes/datascience/ubi9-python-3.9/kustomize/base/requirements-elyra.txt deleted file mode 100644 index 91fb8e57d..000000000 --- a/runtimes/datascience/ubi9-python-3.9/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/ubi9-python-3.9/utils/bootstrapper.py b/runtimes/datascience/ubi9-python-3.9/utils/bootstrapper.py deleted file mode 100644 index 34a39cdcc..000000000 --- a/runtimes/datascience/ubi9-python-3.9/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/ubi9-python-3.9/utils/pip.conf b/runtimes/datascience/ubi9-python-3.9/utils/pip.conf deleted file mode 100644 index 69a2baf4c..000000000 --- a/runtimes/datascience/ubi9-python-3.9/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/ubi9-python-3.9/utils/requirements-elyra.txt b/runtimes/datascience/ubi9-python-3.9/utils/requirements-elyra.txt deleted file mode 100644 index ddf75d0c5..000000000 --- a/runtimes/datascience/ubi9-python-3.9/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/ubi9-python-3.11/Dockerfile b/runtimes/minimal/ubi9-python-3.11/Dockerfile index 169edc6f1..8978ca3db 100644 --- a/runtimes/minimal/ubi9-python-3.11/Dockerfile +++ b/runtimes/minimal/ubi9-python-3.11/Dockerfile @@ -1,6 +1,8 @@ ARG BASE_IMAGE FROM ${BASE_IMAGE} +ARG SOURCE_CODE=runtimes/minimal/ubi9-python-3.11 + LABEL name="odh-notebook-runtime-minimal-ubi9-python-3.11" \ summary="Runtime minimal image for ODH notebooks" \ description="Runtime minimal image with base Python 3.11 builder image based on UBI9 for ODH notebooks" \ @@ -14,9 +16,9 @@ LABEL name="odh-notebook-runtime-minimal-ubi9-python-3.11" \ WORKDIR /opt/app-root/bin # Install Python packages from Pipfile.lock -COPY Pipfile.lock ./ +COPY ${SOURCE_CODE}/Pipfile.lock ./ # Copy Elyra dependencies for air-gapped enviroment -COPY utils ./utils/ +COPY ${SOURCE_CODE}/utils ./utils/ RUN echo "Installing softwares and packages" && \ micropipenv install && \ diff --git a/runtimes/minimal/ubi9-python-3.11/Pipfile.lock b/runtimes/minimal/ubi9-python-3.11/Pipfile.lock index ebf4810a8..0939d88a3 100644 --- a/runtimes/minimal/ubi9-python-3.11/Pipfile.lock +++ b/runtimes/minimal/ubi9-python-3.11/Pipfile.lock @@ -60,18 +60,19 @@ }, "asttokens": { "hashes": [ - "sha256:051ed49c3dcae8913ea7cd08e46a606dba30b79993209636c4875bc1d637bc24", - "sha256:b03869718ba9a6eb027e134bfdf69f38a236d681c83c160d510768af11254ba0" + "sha256:0dcd8baa8d62b0c1d118b399b2ddba3c4aff271d0d7a9e0d4c1681c79035bbc7", + "sha256:e3078351a059199dd5138cb1c706e6430c05eff2ff136af5eb4790f9d28932e2" ], - "version": "==2.4.1" + "markers": "python_version >= '3.8'", + "version": "==3.0.0" }, "attrs": { "hashes": [ - "sha256:5cfb1b9148b5b086569baec03f20d7b6bf3bcacc9a42bebf87ffaaca362f6346", - "sha256:81921eb96de3191c8258c199618104dd27ac608d9366f5e35d011eae1867ede2" + "sha256:8f5c07333d543103541ba7be0e2ce16eeee8130cb0b3f9238ab904ce1e85baff", + "sha256:ac96cd038792094f438ad1f6ff80837353805ac950cd2aa0e0625ef19850c308" ], - "markers": "python_version >= '3.7'", - "version": "==24.2.0" + "markers": "python_version >= '3.8'", + "version": "==24.3.0" }, "beautifulsoup4": { "hashes": [ @@ -82,6 +83,9 @@ "version": "==4.12.3" }, "bleach": { + "extras": [ + "css" + ], "hashes": [ "sha256:117d9c6097a7c3d22fd578fcd8d35ff1e125df6736f554da4e432fdd63f31e5e", "sha256:123e894118b8a599fd80d3ec1a6d4cc7ce4e5882b1317a7e1ba69b56e95f991f" @@ -91,11 +95,11 @@ }, "certifi": { "hashes": [ - "sha256:922820b53db7a7257ffbda3f597266d435245903d80737e34f8a45ff3e3230d8", - "sha256:bec941d2aa8195e248a60b31ff9f0558284cf01a52591ceda73ea9afffd69fd9" + "sha256:1275f7a45be9464efc1173084eaa30f866fe2e47d389406136d332ed4967ec56", + "sha256:b650d30f370c2b724812bee08008be0c4163b163ddaec3f2546c1caf65f191db" ], "markers": "python_version >= '3.6'", - "version": "==2024.8.30" + "version": "==2024.12.14" }, "cffi": { "hashes": [ @@ -172,122 +176,109 @@ }, "charset-normalizer": { "hashes": [ - "sha256:0099d79bdfcf5c1f0c2c72f91516702ebf8b0b8ddd8905f97a8aecf49712c621", - "sha256:0713f3adb9d03d49d365b70b84775d0a0d18e4ab08d12bc46baa6132ba78aaf6", - "sha256:07afec21bbbbf8a5cc3651aa96b980afe2526e7f048fdfb7f1014d84acc8b6d8", - "sha256:0b309d1747110feb25d7ed6b01afdec269c647d382c857ef4663bbe6ad95a912", - "sha256:0d99dd8ff461990f12d6e42c7347fd9ab2532fb70e9621ba520f9e8637161d7c", - "sha256:0de7b687289d3c1b3e8660d0741874abe7888100efe14bd0f9fd7141bcbda92b", - "sha256:1110e22af8ca26b90bd6364fe4c763329b0ebf1ee213ba32b68c73de5752323d", - "sha256:130272c698667a982a5d0e626851ceff662565379baf0ff2cc58067b81d4f11d", - "sha256:136815f06a3ae311fae551c3df1f998a1ebd01ddd424aa5603a4336997629e95", - "sha256:14215b71a762336254351b00ec720a8e85cada43b987da5a042e4ce3e82bd68e", - "sha256:1db4e7fefefd0f548d73e2e2e041f9df5c59e178b4c72fbac4cc6f535cfb1565", - "sha256:1ffd9493de4c922f2a38c2bf62b831dcec90ac673ed1ca182fe11b4d8e9f2a64", - "sha256:2006769bd1640bdf4d5641c69a3d63b71b81445473cac5ded39740a226fa88ab", - "sha256:20587d20f557fe189b7947d8e7ec5afa110ccf72a3128d61a2a387c3313f46be", - "sha256:223217c3d4f82c3ac5e29032b3f1c2eb0fb591b72161f86d93f5719079dae93e", - 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"hashes": [ diff --git a/runtimes/minimal/ubi9-python-3.9/Dockerfile b/runtimes/minimal/ubi9-python-3.9/Dockerfile deleted file mode 100644 index 684364dff..000000000 --- a/runtimes/minimal/ubi9-python-3.9/Dockerfile +++ /dev/null @@ -1,28 +0,0 @@ -ARG BASE_IMAGE -FROM ${BASE_IMAGE} - -LABEL name="odh-notebook-runtime-minimal-ubi9-python-3.9" \ - summary="Runtime minimal image for ODH notebooks" \ - description="Runtime minimal image with base Python 3.9 builder image based on UBI9 for ODH notebooks" \ - io.k8s.display-name="Runtime minimal image for ODH notebooks" \ - io.k8s.description="Runtime minimal image with base Python 3.9 builder image based on UBI9 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/ubi9-python-3.9" \ - io.openshift.build.image="quay.io/opendatahub/workbench-images:runtime-minimal-ubi9-python-3.9" - -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/python3.9/site-packages && \ - fix-permissions /opt/app-root -P - -WORKDIR /opt/app-root/src diff --git a/runtimes/minimal/ubi9-python-3.9/Pipfile b/runtimes/minimal/ubi9-python-3.9/Pipfile deleted file mode 100644 index feb5ceb49..000000000 --- a/runtimes/minimal/ubi9-python-3.9/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 = "3.9" diff --git a/runtimes/minimal/ubi9-python-3.9/Pipfile.lock b/runtimes/minimal/ubi9-python-3.9/Pipfile.lock deleted file mode 100644 index 8d2a23c84..000000000 --- a/runtimes/minimal/ubi9-python-3.9/Pipfile.lock +++ /dev/null @@ -1,958 +0,0 @@ -{ - "_meta": { - "hash": { - "sha256": "331cf2b7ea78032179a228a4165c889fd4a75e1c7b43c11c49752e81ec12f0ab" - }, - "pipfile-spec": 6, - "requires": { - "python_version": "3.9" - }, - "sources": [ - { - "name": "pypi", - "url": "https://pypi.org/simple", - "verify_ssl": true - } - ] - 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b/runtimes/minimal/ubi9-python-3.9/kustomize/base/pod.yaml deleted file mode 100644 index bc5343566..000000000 --- a/runtimes/minimal/ubi9-python-3.9/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/ubi9-python-3.9/kustomize/base/requirements-elyra.txt b/runtimes/minimal/ubi9-python-3.9/kustomize/base/requirements-elyra.txt deleted file mode 100644 index 91fb8e57d..000000000 --- a/runtimes/minimal/ubi9-python-3.9/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/ubi9-python-3.9/utils/bootstrapper.py b/runtimes/minimal/ubi9-python-3.9/utils/bootstrapper.py deleted file mode 100644 index 34a39cdcc..000000000 --- a/runtimes/minimal/ubi9-python-3.9/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/ubi9-python-3.9/utils/pip.conf b/runtimes/minimal/ubi9-python-3.9/utils/pip.conf deleted file mode 100644 index 69a2baf4c..000000000 --- a/runtimes/minimal/ubi9-python-3.9/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/ubi9-python-3.9/utils/requirements-elyra.txt b/runtimes/minimal/ubi9-python-3.9/utils/requirements-elyra.txt deleted file mode 100644 index ddf75d0c5..000000000 --- a/runtimes/minimal/ubi9-python-3.9/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/ubi9-python-3.11/Dockerfile b/runtimes/pytorch/ubi9-python-3.11/Dockerfile index 44ef45c7c..54b05e3a0 100644 --- a/runtimes/pytorch/ubi9-python-3.11/Dockerfile +++ b/runtimes/pytorch/ubi9-python-3.11/Dockerfile @@ -1,6 +1,8 @@ ARG BASE_IMAGE FROM ${BASE_IMAGE} +ARG SOURCE_CODE=runtimes/pytorch/ubi9-python-3.11 + LABEL name="odh-notebook-runtime-pytorch-ubi9-python-3.11" \ summary="Runtime pytorch notebook image for ODH notebooks" \ description="Runtime pytorch notebook image with base Python 3.11 builder image based on UBI9 for ODH notebooks" \ @@ -14,9 +16,9 @@ LABEL name="odh-notebook-runtime-pytorch-ubi9-python-3.11" \ WORKDIR /opt/app-root/bin # Install Python packages from Pipfile.lock -COPY Pipfile.lock ./ +COPY ${SOURCE_CODE}/Pipfile.lock ./ # Copy Elyra dependencies for air-gapped enviroment -COPY utils ./utils/ +COPY ${SOURCE_CODE}/utils ./utils/ RUN echo "Installing softwares and packages" && \ micropipenv install && \ diff --git a/runtimes/pytorch/ubi9-python-3.11/Pipfile b/runtimes/pytorch/ubi9-python-3.11/Pipfile index 09e55e499..ff9c885a1 100644 --- a/runtimes/pytorch/ubi9-python-3.11/Pipfile +++ b/runtimes/pytorch/ubi9-python-3.11/Pipfile @@ -27,7 +27,7 @@ scikit-learn = "~=1.5.1" scipy = "~=1.14.1" skl2onnx = "~=1.17.0" onnxconverter-common = "~=1.13.0" # Required for skl2onnx, as upgraded version is not compatible with protobuf -codeflare-sdk = "~=0.24.0" +codeflare-sdk = "~=0.25.0" # DB connectors pymongo = "~=4.8.0" diff --git a/runtimes/pytorch/ubi9-python-3.11/Pipfile.lock b/runtimes/pytorch/ubi9-python-3.11/Pipfile.lock index 762c42462..e02ab99f1 100644 --- a/runtimes/pytorch/ubi9-python-3.11/Pipfile.lock +++ b/runtimes/pytorch/ubi9-python-3.11/Pipfile.lock @@ -1,7 +1,7 @@ { "_meta": { "hash": { - "sha256": "5c9b91fc991440a600dca3fefbb242bb3f0b18c3e96e154b37bd30d8c4eb391b" + "sha256": "ba2db1f871d42d414e6b11152ab52259513e7b716b2c8cecd12862756f8db92f" }, "pipfile-spec": 6, "requires": { @@ -31,93 +31,93 @@ }, "aiohappyeyeballs": { "hashes": [ - "sha256:75cf88a15106a5002a8eb1dab212525c00d1f4c0fa96e551c9fbe6f09a621586", - "sha256:8a7a83727b2756f394ab2895ea0765a0a8c475e3c71e98d43d76f22b4b435572" + "sha256:5fdd7d87889c63183afc18ce9271f9b0a7d32c2303e394468dd45d514a757745", + 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notebooks" \ - io.k8s.display-name="Runtime pytorch notebook image for ODH notebooks" \ - io.k8s.description="Runtime pytorch notebook image with base Python 3.9 builder image based on UBI9 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/ubi9-python-3.9" \ - io.openshift.build.image="quay.io/opendatahub/workbench-images:runtime-pytorch-ubi9-python-3.9" - -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/python3.9/site-packages && \ - fix-permissions /opt/app-root -P - -WORKDIR /opt/app-root/src diff --git a/runtimes/pytorch/ubi9-python-3.9/Pipfile b/runtimes/pytorch/ubi9-python-3.9/Pipfile deleted file mode 100644 index 88da7ead2..000000000 --- a/runtimes/pytorch/ubi9-python-3.9/Pipfile +++ /dev/null @@ -1,56 +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 = "~=2.16.2" -torch = {version = "~=2.2.1", index = "pytorch"} -torchvision = {version = "~=0.17.1", index = "pytorch"} -# Datascience and useful extensions -boto3 = "~=1.34.50" -kafka-python = "~=2.0.2" -matplotlib = "~=3.8.3" -numpy = "~=1.26.4" -pandas = "~=2.2.0" -plotly = "~=5.20.0" -scikit-learn = "~=1.4.0" -scipy = "~=1.12.0" -skl2onnx = "~=1.16.0" -codeflare-sdk = "~=0.19.1" -memray = "~=1.10.0" # any version above this would cause issue with rich package -# 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 = "3.9" diff --git a/runtimes/pytorch/ubi9-python-3.9/Pipfile.lock b/runtimes/pytorch/ubi9-python-3.9/Pipfile.lock deleted file mode 100644 index 03d66ef3c..000000000 --- a/runtimes/pytorch/ubi9-python-3.9/Pipfile.lock +++ /dev/null @@ -1,3344 +0,0 @@ -{ - "_meta": { - "hash": { - "sha256": 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quay.io/opendatahub/workbench-images - newTag: runtime-pytorch-ubi9-python-3.9 -configMapGenerator: - - name: req-config - files: - - requirements-elyra.txt diff --git a/runtimes/pytorch/ubi9-python-3.9/kustomize/base/pod.yaml b/runtimes/pytorch/ubi9-python-3.9/kustomize/base/pod.yaml deleted file mode 100644 index bc5343566..000000000 --- a/runtimes/pytorch/ubi9-python-3.9/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/ubi9-python-3.9/kustomize/base/requirements-elyra.txt b/runtimes/pytorch/ubi9-python-3.9/kustomize/base/requirements-elyra.txt deleted file mode 100644 index 91fb8e57d..000000000 --- a/runtimes/pytorch/ubi9-python-3.9/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/ubi9-python-3.9/utils/bootstrapper.py b/runtimes/pytorch/ubi9-python-3.9/utils/bootstrapper.py deleted file mode 100644 index 34a39cdcc..000000000 --- a/runtimes/pytorch/ubi9-python-3.9/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/ubi9-python-3.9/utils/pip.conf b/runtimes/pytorch/ubi9-python-3.9/utils/pip.conf deleted file mode 100644 index 69a2baf4c..000000000 --- a/runtimes/pytorch/ubi9-python-3.9/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/ubi9-python-3.9/utils/requirements-elyra.txt b/runtimes/pytorch/ubi9-python-3.9/utils/requirements-elyra.txt deleted file mode 100644 index ddf75d0c5..000000000 --- a/runtimes/pytorch/ubi9-python-3.9/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/rocm-pytorch/ubi9-python-3.11/Dockerfile b/runtimes/rocm-pytorch/ubi9-python-3.11/Dockerfile index 34114f55d..c4e894625 100644 --- a/runtimes/rocm-pytorch/ubi9-python-3.11/Dockerfile +++ b/runtimes/rocm-pytorch/ubi9-python-3.11/Dockerfile @@ -1,6 +1,8 @@ ARG BASE_IMAGE FROM ${BASE_IMAGE} +ARG SOURCE_CODE=runtimes/rocm-pytorch/ubi9-python-3.11 + LABEL name="odh-notebook-runtime-rocm-pytorch-ubi9-python-3.11" \ summary="Runtime ROCm pytorch notebook image for ODH notebooks" \ description="Runtime ROCm pytorch notebook image with base Python 3.11 builder image based on UBI9 for ODH notebooks" \ @@ -14,11 +16,11 @@ LABEL name="odh-notebook-runtime-rocm-pytorch-ubi9-python-3.11" \ WORKDIR /opt/app-root/bin # Install Python packages from Pipfile.lock -COPY Pipfile.lock ./ +COPY ${SOURCE_CODE}/Pipfile.lock ./ # Copy Elyra dependencies for air-gapped enviroment -COPY utils ./utils/ +COPY ${SOURCE_CODE}/utils ./utils/ # Copy utility script -COPY de-vendor-torch.sh ./ +COPY ${SOURCE_CODE}/de-vendor-torch.sh ./ RUN echo "Installing softwares and packages" && \ micropipenv install && \ diff --git a/runtimes/rocm-pytorch/ubi9-python-3.11/Pipfile b/runtimes/rocm-pytorch/ubi9-python-3.11/Pipfile index ab2f67e38..42b5656fa 100644 --- a/runtimes/rocm-pytorch/ubi9-python-3.11/Pipfile +++ b/runtimes/rocm-pytorch/ubi9-python-3.11/Pipfile @@ -29,7 +29,7 @@ scikit-learn = "~=1.5.1" scipy = "~=1.14.1" skl2onnx = "~=1.17.0" onnxconverter-common = "~=1.13.0" # Required for skl2onnx, as upgraded version is not compatible with protobuf -codeflare-sdk = "~=0.24.0" +codeflare-sdk = "~=0.25.0" # DB connectors pymongo = "~=4.8.0" diff --git a/runtimes/rocm-pytorch/ubi9-python-3.11/Pipfile.lock b/runtimes/rocm-pytorch/ubi9-python-3.11/Pipfile.lock index 44ea3bf2e..10d508ace 100644 --- a/runtimes/rocm-pytorch/ubi9-python-3.11/Pipfile.lock +++ b/runtimes/rocm-pytorch/ubi9-python-3.11/Pipfile.lock @@ -1,7 +1,7 @@ { "_meta": { "hash": { - "sha256": "5b26cdd6fcefcbf1281b822694dac6e82e73c83c42a4eade2e730d55075d3435" + "sha256": "c85d73381fe0bd7a44419afcbf1ce77140e906580896c62bb02db1dc553e7f9b" }, "pipfile-spec": 6, "requires": { @@ -31,93 +31,93 @@ }, "aiohappyeyeballs": { "hashes": [ - "sha256:75cf88a15106a5002a8eb1dab212525c00d1f4c0fa96e551c9fbe6f09a621586", - 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based on UBI9 for ODH notebooks" \ - io.k8s.display-name="Runtime ROCm pytorch notebook image for ODH notebooks" \ - io.k8s.description="Runtime ROCm pytorch notebook image with base Python 3.9 builder image based on UBI9 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/rocm-pytorch/ubi9-python-3.9" \ - io.openshift.build.image="quay.io/opendatahub/workbench-images:rocm-runtime-pytorch-ubi9-python-3.9" - -WORKDIR /opt/app-root/bin - -# Install Python packages from Pipfile.lock -COPY Pipfile.lock ./ -# Copy Elyra dependencies for air-gapped enviroment -COPY utils ./utils/ -# Copy utility script -COPY de-vendor-torch.sh ./ - -RUN echo "Installing softwares and packages" && \ - micropipenv install && \ - rm -f ./Pipfile.lock && \ - # De-vendor the ROCm libs that are embedded in Pytorch \ - ./de-vendor-torch.sh && \ - rm ./de-vendor-torch.sh && \ - # Fix permissions to support pip in Openshift environments \ - chmod -R g+w /opt/app-root/lib/python3.9/site-packages && \ - fix-permissions /opt/app-root -P - -WORKDIR /opt/app-root/src diff --git a/runtimes/rocm-pytorch/ubi9-python-3.9/Pipfile b/runtimes/rocm-pytorch/ubi9-python-3.9/Pipfile deleted file mode 100644 index a2a762247..000000000 --- a/runtimes/rocm-pytorch/ubi9-python-3.9/Pipfile +++ /dev/null @@ -1,59 +0,0 @@ -[[source]] -url = "https://pypi.org/simple" -verify_ssl = true -name = "pypi" - -[[source]] -# Please keep in sync with rocm/ubi9-python-3.9/Dockerfile -url = "https://download.pytorch.org/whl/rocm6.1/" -verify_ssl = true -name = "pytorch" - -[dev-packages] - -[packages] -# PyTorch packages -tensorboard = "~=2.16.2" -torch = {version = "~=2.4.0", index = "pytorch"} -torchvision = {version = "~=0.19.0", index = "pytorch"} # https://pytorch.org/get-started/previous-versions/#linux-and-windows-1 -pytorch-triton-rocm = {version = "~=3.0.0", index = "pytorch"} -# Datascience and useful extensions -boto3 = "~=1.34.50" -kafka-python = "~=2.0.2" -matplotlib = "~=3.8.3" -numpy = "~=1.26.4" -pandas = "~=2.2.0" -plotly = "~=5.20.0" -scikit-learn = "~=1.4.0" -scipy = "~=1.12.0" -skl2onnx = "~=1.16.0" -onnxconverter-common = "~=1.13.0" # Required for skl2onnx, as upgraded version is not compatible with protobuf -codeflare-sdk = "~=0.19.1" -memray = "~=1.10.0" # any version above this would cause issue with rich package -# 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 = 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with system libraries -# The script assumes that PyTorch is built with the same ROCm ABI as the -# system installation of ROCm. - -# Source: https://github.com/tiran/instructlab-containers/blob/main/containers/rocm/de-vendor-torch.sh - -PYTHON=python3.9 -ROCMLIB=/opt/rocm/lib -TORCHLIB=/opt/app-root/lib/${PYTHON}/site-packages/torch/lib - -ln -sf /usr/lib64/libdrm.so.2 ${TORCHLIB}/libdrm.so -ln -sf /usr/lib64/libdrm_amdgpu.so.1 ${TORCHLIB}/libdrm_amdgpu.so - -ln -sf ${ROCMLIB}/libamd_comgr.so.2 ${TORCHLIB}/libamd_comgr.so -ln -sf ${ROCMLIB}/libamdhip64.so.6 ${TORCHLIB}/libamdhip64.so -ln -sf ${ROCMLIB}/libhipblaslt.so.0 ${TORCHLIB}/libhipblaslt.so -ln -sf ${ROCMLIB}/libhipblas.so.2 ${TORCHLIB}/libhipblas.so -ln -sf ${ROCMLIB}/libhipfft.so.0 ${TORCHLIB}/libhipfft.so -ln -sf ${ROCMLIB}/libhiprand.so.1 ${TORCHLIB}/libhiprand.so -ln -sf ${ROCMLIB}/libhiprtc.so.6 ${TORCHLIB}/libhiprtc.so -ln -sf ${ROCMLIB}/libhipsolver.so.0 ${TORCHLIB}/libhipsolver.so -ln -sf ${ROCMLIB}/libhipsparse.so.1 ${TORCHLIB}/libhipsparse.so -ln -sf ${ROCMLIB}/libhsa-runtime64.so.1 ${TORCHLIB}/libhsa-runtime64.so -ln -sf ${ROCMLIB}/libMIOpen.so.1 ${TORCHLIB}/libMIOpen.so -ln -sf ${ROCMLIB}/librccl.so.1 ${TORCHLIB}/librccl.so -ln -sf ${ROCMLIB}/librocblas.so.4 ${TORCHLIB}/librocblas.so -ln -sf ${ROCMLIB}/librocfft.so.0 ${TORCHLIB}/librocfft.so -ln -sf ${ROCMLIB}/librocm_smi64.so.6 ${TORCHLIB}/librocm_smi64.so -ln -sf ${ROCMLIB}/librocrand.so.1 ${TORCHLIB}/librocrand.so -ln -sf ${ROCMLIB}/librocsolver.so.0 ${TORCHLIB}/librocsolver.so -ln -sf ${ROCMLIB}/librocsparse.so.1 ${TORCHLIB}/librocsparse.so -ln -sf ${ROCMLIB}/libroctracer64.so.4 ${TORCHLIB}/libroctracer64.so -ln -sf ${ROCMLIB}/libroctx64.so.4 ${TORCHLIB}/libroctx64.so - -rm -rf ${TORCHLIB}/rocblas -ln -sf ${ROCMLIB}/rocblas ${TORCHLIB}/rocblas - -rm -rf ${TORCHLIB}/hipblaslt -ln -sf ${ROCMLIB}/hipblaslt ${TORCHLIB}/hipblaslt diff --git a/runtimes/rocm-pytorch/ubi9-python-3.9/kustomize/base/kustomization.yaml b/runtimes/rocm-pytorch/ubi9-python-3.9/kustomize/base/kustomization.yaml deleted file mode 100644 index d01bbd247..000000000 --- a/runtimes/rocm-pytorch/ubi9-python-3.9/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-rocm-pytorch-ubi9-python-3.9 -configMapGenerator: - - name: req-config - files: - - requirements-elyra.txt diff --git a/runtimes/rocm-pytorch/ubi9-python-3.9/kustomize/base/pod.yaml b/runtimes/rocm-pytorch/ubi9-python-3.9/kustomize/base/pod.yaml deleted file mode 100644 index bc5343566..000000000 --- a/runtimes/rocm-pytorch/ubi9-python-3.9/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/rocm-pytorch/ubi9-python-3.9/kustomize/base/requirements-elyra.txt b/runtimes/rocm-pytorch/ubi9-python-3.9/kustomize/base/requirements-elyra.txt deleted file mode 100644 index 91fb8e57d..000000000 --- a/runtimes/rocm-pytorch/ubi9-python-3.9/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/rocm-pytorch/ubi9-python-3.9/utils/bootstrapper.py b/runtimes/rocm-pytorch/ubi9-python-3.9/utils/bootstrapper.py deleted file mode 100644 index 34a39cdcc..000000000 --- a/runtimes/rocm-pytorch/ubi9-python-3.9/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/rocm-pytorch/ubi9-python-3.9/utils/pip.conf b/runtimes/rocm-pytorch/ubi9-python-3.9/utils/pip.conf deleted file mode 100644 index 69a2baf4c..000000000 --- a/runtimes/rocm-pytorch/ubi9-python-3.9/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/rocm-pytorch/ubi9-python-3.9/utils/requirements-elyra.txt b/runtimes/rocm-pytorch/ubi9-python-3.9/utils/requirements-elyra.txt deleted file mode 100644 index ddf75d0c5..000000000 --- a/runtimes/rocm-pytorch/ubi9-python-3.9/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/rocm-tensorflow/ubi9-python-3.11/Dockerfile b/runtimes/rocm-tensorflow/ubi9-python-3.11/Dockerfile index 737cc20a4..1b1982384 100644 --- a/runtimes/rocm-tensorflow/ubi9-python-3.11/Dockerfile +++ b/runtimes/rocm-tensorflow/ubi9-python-3.11/Dockerfile @@ -1,6 +1,8 @@ ARG BASE_IMAGE FROM ${BASE_IMAGE} +ARG SOURCE_CODE=runtimes/rocm-tensorflow/ubi9-python-3.11 + LABEL name="odh-notebook-rocm-runtime-tensorflow-ubi9-python-3.11" \ summary="Runtime ROCm tensorflow notebook image for ODH notebooks" \ description="Runtime ROCm tensorflow notebook image with base Python 3.11 builder image based on UBI9 for ODH notebooks" \ @@ -14,9 +16,9 @@ LABEL name="odh-notebook-rocm-runtime-tensorflow-ubi9-python-3.11" \ WORKDIR /opt/app-root/bin # Install Python packages from Pipfile.lock -COPY Pipfile.lock ./ +COPY ${SOURCE_CODE}/Pipfile.lock ./ # Copy Elyra dependencies for air-gapped enviroment -COPY utils ./utils/ +COPY ${SOURCE_CODE}/utils ./utils/ RUN echo "Installing softwares and packages" && \ micropipenv install && \ diff --git a/runtimes/rocm-tensorflow/ubi9-python-3.11/Pipfile.lock b/runtimes/rocm-tensorflow/ubi9-python-3.11/Pipfile.lock index 2d919fa2c..ec04aec90 100644 --- a/runtimes/rocm-tensorflow/ubi9-python-3.11/Pipfile.lock +++ b/runtimes/rocm-tensorflow/ubi9-python-3.11/Pipfile.lock @@ -26,93 +26,93 @@ }, "aiohappyeyeballs": { "hashes": [ - "sha256:75cf88a15106a5002a8eb1dab212525c00d1f4c0fa96e551c9fbe6f09a621586", - "sha256:8a7a83727b2756f394ab2895ea0765a0a8c475e3c71e98d43d76f22b4b435572" + "sha256:5fdd7d87889c63183afc18ce9271f9b0a7d32c2303e394468dd45d514a757745", + "sha256:a980909d50efcd44795c4afeca523296716d50cd756ddca6af8c65b996e27de8" ], "markers": "python_version >= '3.8'", - "version": "==2.4.3" + "version": "==2.4.4" }, "aiohttp": { "hashes": [ - "sha256:018f1b04883a12e77e7fc161934c0f298865d3a484aea536a6a2ca8d909f0ba0", - "sha256:01a8aca4af3da85cea5c90141d23f4b0eee3cbecfd33b029a45a80f28c66c668", - "sha256:04b0cc74d5a882c9dacaeeccc1444f0233212b6f5be8bc90833feef1e1ce14b9", - "sha256:0de6466b9d742b4ee56fe1b2440706e225eb48c77c63152b1584864a236e7a50", - "sha256:12724f3a211fa243570e601f65a8831372caf1a149d2f1859f68479f07efec3d", - 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a/runtimes/rocm-tensorflow/ubi9-python-3.9/Dockerfile +++ /dev/null @@ -1,28 +0,0 @@ -ARG BASE_IMAGE -FROM ${BASE_IMAGE} - -LABEL name="odh-notebook-rocm-runtime-tensorflow-ubi9-python-3.9" \ - summary="Runtime ROCm tensorflow notebook image for ODH notebooks" \ - description="Runtime ROCm tensorflow notebook image with base Python 3.9 builder image based on UBI9 for ODH notebooks" \ - io.k8s.display-name="Runtime ROCm tensorflow notebook image for ODH notebooks" \ - io.k8s.description="Runtime ROCm tensorflow notebook image with base Python 3.9 builder image based on UBI9 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/rocm-tensorflow/ubi9-python-3.9" \ - io.openshift.build.image="quay.io/opendatahub/workbench-images:rocm-runtime-tensorflow-ubi9-python-3.9" - -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/python3.9/site-packages && \ - fix-permissions /opt/app-root -P - -WORKDIR /opt/app-root/src diff --git a/runtimes/rocm-tensorflow/ubi9-python-3.9/Pipfile b/runtimes/rocm-tensorflow/ubi9-python-3.9/Pipfile deleted file mode 100644 index da900a78f..000000000 --- a/runtimes/rocm-tensorflow/ubi9-python-3.9/Pipfile +++ /dev/null @@ -1,51 +0,0 @@ -[[source]] -url = "https://pypi.org/simple" -verify_ssl = true -name = "pypi" - -[dev-packages] - -[packages] -tensorflow_rocm = {file = "https://repo.radeon.com/rocm/manylinux/rocm-rel-6.1/tensorflow_rocm-2.15.0-cp39-cp39-manylinux2014_x86_64.whl"} -tensorboard = "~=2.15.2" -tf2onnx = "~= 1.16.1" -# Datascience and useful extensions -boto3 = "~=1.34.50" -kafka-python = "~=2.0.2" -matplotlib = "~=3.8.3" -numpy = "~=1.26.4" -pandas = "~=2.2.0" -plotly = "~=5.20.0" -scikit-learn = "~=1.4.0" -scipy = "~=1.12.0" -skl2onnx = "~=1.16.0" -onnxconverter-common = "~=1.13.0" # Required for skl2onnx, as upgraded version is not compatible with protobuf -codeflare-sdk = "~=0.19.1" -memray = "~=1.10.0" # any version above this would cause issue with rich package -# 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" 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runtime-rocm-tensorflow-ubi9-python-3.9 -configMapGenerator: - - name: req-config - files: - - requirements-elyra.txt diff --git a/runtimes/rocm-tensorflow/ubi9-python-3.9/kustomize/base/pod.yaml b/runtimes/rocm-tensorflow/ubi9-python-3.9/kustomize/base/pod.yaml deleted file mode 100644 index bc5343566..000000000 --- a/runtimes/rocm-tensorflow/ubi9-python-3.9/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/rocm-tensorflow/ubi9-python-3.9/kustomize/base/requirements-elyra.txt b/runtimes/rocm-tensorflow/ubi9-python-3.9/kustomize/base/requirements-elyra.txt deleted file mode 100644 index 91fb8e57d..000000000 --- a/runtimes/rocm-tensorflow/ubi9-python-3.9/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/rocm-tensorflow/ubi9-python-3.9/utils/bootstrapper.py b/runtimes/rocm-tensorflow/ubi9-python-3.9/utils/bootstrapper.py deleted file mode 100644 index 34a39cdcc..000000000 --- a/runtimes/rocm-tensorflow/ubi9-python-3.9/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/rocm-tensorflow/ubi9-python-3.9/utils/pip.conf b/runtimes/rocm-tensorflow/ubi9-python-3.9/utils/pip.conf deleted file mode 100644 index 69a2baf4c..000000000 --- a/runtimes/rocm-tensorflow/ubi9-python-3.9/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/rocm-tensorflow/ubi9-python-3.9/utils/requirements-elyra.txt b/runtimes/rocm-tensorflow/ubi9-python-3.9/utils/requirements-elyra.txt deleted file mode 100644 index ddf75d0c5..000000000 --- a/runtimes/rocm-tensorflow/ubi9-python-3.9/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/ubi9-python-3.11/Dockerfile b/runtimes/tensorflow/ubi9-python-3.11/Dockerfile index 745d69b22..788f0873e 100644 --- a/runtimes/tensorflow/ubi9-python-3.11/Dockerfile +++ b/runtimes/tensorflow/ubi9-python-3.11/Dockerfile @@ -1,6 +1,8 @@ ARG BASE_IMAGE FROM ${BASE_IMAGE} +ARG SOURCE_CODE=runtimes/tensorflow/ubi9-python-3.11 + LABEL name="odh-notebook-cuda-runtime-tensorflow-ubi9-python-3.11" \ summary="Runtime CUDA tensorflow notebook image for ODH notebooks" \ description="Runtime CUDA tensorflow notebook image with base Python 3.11 builder image based on UBI9 for ODH notebooks" \ @@ -14,9 +16,9 @@ LABEL name="odh-notebook-cuda-runtime-tensorflow-ubi9-python-3.11" \ WORKDIR /opt/app-root/bin # Install Python packages from Pipfile.lock -COPY Pipfile.lock ./ +COPY ${SOURCE_CODE}/Pipfile.lock ./ # Copy Elyra dependencies for air-gapped enviroment -COPY utils ./utils/ +COPY ${SOURCE_CODE}/utils ./utils/ RUN echo "Installing softwares and packages" && \ micropipenv install && \ diff --git a/runtimes/tensorflow/ubi9-python-3.11/Pipfile.lock b/runtimes/tensorflow/ubi9-python-3.11/Pipfile.lock index f98588265..2c581e302 100644 --- a/runtimes/tensorflow/ubi9-python-3.11/Pipfile.lock +++ b/runtimes/tensorflow/ubi9-python-3.11/Pipfile.lock @@ -26,93 +26,93 @@ }, "aiohappyeyeballs": { "hashes": [ - "sha256:75cf88a15106a5002a8eb1dab212525c00d1f4c0fa96e551c9fbe6f09a621586", - "sha256:8a7a83727b2756f394ab2895ea0765a0a8c475e3c71e98d43d76f22b4b435572" + "sha256:5fdd7d87889c63183afc18ce9271f9b0a7d32c2303e394468dd45d514a757745", + "sha256:a980909d50efcd44795c4afeca523296716d50cd756ddca6af8c65b996e27de8" ], "markers": "python_version >= '3.8'", - "version": "==2.4.3" + "version": "==2.4.4" }, "aiohttp": { "hashes": [ - "sha256:018f1b04883a12e77e7fc161934c0f298865d3a484aea536a6a2ca8d909f0ba0", - "sha256:01a8aca4af3da85cea5c90141d23f4b0eee3cbecfd33b029a45a80f28c66c668", - "sha256:04b0cc74d5a882c9dacaeeccc1444f0233212b6f5be8bc90833feef1e1ce14b9", - "sha256:0de6466b9d742b4ee56fe1b2440706e225eb48c77c63152b1584864a236e7a50", - "sha256:12724f3a211fa243570e601f65a8831372caf1a149d2f1859f68479f07efec3d", - 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summary="Runtime CUDA tensorflow notebook image for ODH notebooks" \ - description="Runtime CUDA tensorflow notebook image with base Python 3.9 builder image based on UBI9 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 3.9 builder image based on UBI9 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/ubi9-python-3.9" \ - io.openshift.build.image="quay.io/opendatahub/workbench-images:cuda-runtime-tensorflow-ubi9-python-3.9" - -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/python3.9/site-packages && \ - fix-permissions /opt/app-root -P - -WORKDIR /opt/app-root/src diff --git a/runtimes/tensorflow/ubi9-python-3.9/Pipfile b/runtimes/tensorflow/ubi9-python-3.9/Pipfile deleted file mode 100644 index 0a018f263..000000000 --- a/runtimes/tensorflow/ubi9-python-3.9/Pipfile +++ /dev/null @@ -1,52 +0,0 @@ -[[source]] -url = "https://pypi.org/simple" -verify_ssl = true -name = "pypi" - -[dev-packages] - -[packages] -# TensorFlow packages -tensorflow = "~=2.15.0" -tensorboard = "~=2.15.2" -tf2onnx = "~= 1.16.1" -# Datascience and useful extensions -boto3 = "~=1.34.50" -kafka-python = "~=2.0.2" -matplotlib = "~=3.8.3" -numpy = "~=1.26.4" -pandas = "~=2.2.0" -plotly = "~=5.20.0" -scikit-learn = "~=1.4.0" -scipy = "~=1.12.0" -skl2onnx = "~=1.16.0" -onnxconverter-common = "~=1.13.0" # Required for skl2onnx, as upgraded version is not compatible with protobuf -codeflare-sdk = "~=0.19.1" -memray = "~=1.10.0" # any version above this would cause issue with rich package -# 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 = "3.9" diff --git a/runtimes/tensorflow/ubi9-python-3.9/Pipfile.lock b/runtimes/tensorflow/ubi9-python-3.9/Pipfile.lock deleted file mode 100644 index 85cf9b19b..000000000 --- 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"sha256:f5efe0661b9fcd6246f27957f6ae1c0eb29bc60552820f01e970b4996e016004", - "sha256:f9cbfbc5faca235fbdf531b93aa0f9f005ec7d267d9d738761a4d42b744ea159", - "sha256:fbea1751729afe607d84acfd01efd95e3b31db148a181a441984ce9b3d3469da", - "sha256:fca4b4307ebe9c3ec77a084da3a9d1999d164693d16492ca2b64594340999988", - "sha256:ff5c6771c7e3511a06555afa317879b7db8d640137ba55d6ab0d0c50425cab75" - ], - "markers": "python_version >= '3.9'", - "version": "==1.17.1" - }, - "zipp": { - "hashes": [ - "sha256:a817ac80d6cf4b23bf7f2828b7cabf326f15a001bea8b1f9b49631780ba28350", - "sha256:bc9eb26f4506fda01b81bcde0ca78103b6e62f991b381fec825435c836edbc29" - ], - "markers": "python_version >= '3.8'", - "version": "==3.20.2" - } - }, - "develop": {} -} diff --git a/runtimes/tensorflow/ubi9-python-3.9/kustomize/base/kustomization.yaml b/runtimes/tensorflow/ubi9-python-3.9/kustomize/base/kustomization.yaml deleted file mode 100644 index 4b6d23b68..000000000 --- a/runtimes/tensorflow/ubi9-python-3.9/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-ubi9-python-3.9 -configMapGenerator: - - name: req-config - files: - - requirements-elyra.txt diff --git a/runtimes/tensorflow/ubi9-python-3.9/kustomize/base/pod.yaml b/runtimes/tensorflow/ubi9-python-3.9/kustomize/base/pod.yaml deleted file mode 100644 index bc5343566..000000000 --- a/runtimes/tensorflow/ubi9-python-3.9/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/ubi9-python-3.9/kustomize/base/requirements-elyra.txt b/runtimes/tensorflow/ubi9-python-3.9/kustomize/base/requirements-elyra.txt deleted file mode 100644 index 91fb8e57d..000000000 --- a/runtimes/tensorflow/ubi9-python-3.9/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/ubi9-python-3.9/utils/bootstrapper.py b/runtimes/tensorflow/ubi9-python-3.9/utils/bootstrapper.py deleted file mode 100644 index 34a39cdcc..000000000 --- a/runtimes/tensorflow/ubi9-python-3.9/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/ubi9-python-3.9/utils/pip.conf b/runtimes/tensorflow/ubi9-python-3.9/utils/pip.conf deleted file mode 100644 index 69a2baf4c..000000000 --- a/runtimes/tensorflow/ubi9-python-3.9/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/ubi9-python-3.9/utils/requirements-elyra.txt b/runtimes/tensorflow/ubi9-python-3.9/utils/requirements-elyra.txt deleted file mode 100644 index ddf75d0c5..000000000 --- a/runtimes/tensorflow/ubi9-python-3.9/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/scripts/README.md b/scripts/README.md index df59b47a8..19c8de1b7 100644 --- a/scripts/README.md +++ b/scripts/README.md @@ -47,3 +47,15 @@ Create a Python 3.11 version based on the Python 3.9 version for each one in the ```sh python scripts/new_python_based_image.py --context-dir . --source 3.9 --target 3.11 --match ./ --log-level DEBUG ``` + +## buildinputs/ + +CLI tool written in Go that computes the list of input files required to build a Dockerfile. +This is useful to determine what images need to be built on CI when testing a GitHub Pull Request. + +### Examples + +```shell +make bin/buildinputs +bin/buildinputs jupyter/datascience/ubi9-python-3.11/Dockerfile 2>/dev/null +``` \ No newline at end of file diff --git a/scripts/buildinputs/README.md b/scripts/buildinputs/README.md new file mode 100644 index 000000000..18dd1adca --- /dev/null +++ b/scripts/buildinputs/README.md @@ -0,0 +1,36 @@ +# buildinputs + +Tool to determine what files are required to build a given Dockerfile. + +## Design + +There are multiple possible solutions to this problem. + +### Convert to LLB and analyze the LLB (chosen approach) + +At present, the tool works by converting the Dockerfile into LLB (BuildKit's protobuf-based representation) and then +analysing that to get the referenced files. + +### Parse the Dockerfile and resolve the AST + +Docker provides Go functions to parse a Dockerfile to AST. +It does not provide public functions for the AST resolution, however. + +The procedure can be copied either from the LLB convertor code or from regular build code. + +It requires handling the following instructions (at minimum): + +* `ARG`, `ENV` (file paths will require arg substitution) +* `ADD`, `COPY` (the two main ways to pull files into the build) +* `RUN` (has a `--mount=bind` flag) +* `ONBUILD` in a parent image (that would be probably fine to ignore, as it's not OCI) + +### Parse (lex) the Dockerfile ourselves + +This is also doable, and it would avoid having to use Go. + +The main limitation is that if the implementation we have is incomplete, +then using a new Dockerfile feature (HEREDOC, ...) would require first implementing it in our parser, +which limits further progress. + +Another difficulty is that we would surely have bugs and that would decrease the team's confidence in the CI system. diff --git a/scripts/buildinputs/buildinputs.go b/scripts/buildinputs/buildinputs.go new file mode 100644 index 000000000..46bf225c7 --- /dev/null +++ b/scripts/buildinputs/buildinputs.go @@ -0,0 +1,14 @@ +package main + +import ( + "flag" + "fmt" +) + +func main() { + flag.Parse() + for _, dockerfile := range flag.Args() { + deps := getDockerfileDeps(dockerfile) + fmt.Println(deps) + } +} diff --git a/scripts/buildinputs/buildinputs_test.go b/scripts/buildinputs/buildinputs_test.go new file mode 100644 index 000000000..f5d3c03a1 --- /dev/null +++ b/scripts/buildinputs/buildinputs_test.go @@ -0,0 +1,49 @@ +package main + +import ( + "encoding/json" + "os" + "path/filepath" + "testing" +) + +func globDockerfiles(dir string) ([]string, error) { + files := make([]string, 0) + err := filepath.Walk(dir, func(path string, f os.FileInfo, err error) error { + if filepath.Base(path) == "Dockerfile" { + files = append(files, path) + } + return nil + }) + + return files, err +} + +// TestParseAllDockerfiles checks there are no panics when processing all Dockerfiles we have +func TestParseAllDockerfiles(t *testing.T) { + projectRoot := "../../" + dockerfiles := noErr2(globDockerfiles(projectRoot)) + + if len(dockerfiles) < 6 { + t.Fatalf("not enough Dockerfiles found, got %+v", dockerfiles) + } + + for _, dockerfile := range dockerfiles { + t.Run(dockerfile, func(t *testing.T) { + result := getDockerfileDeps(dockerfile) + if result == "" { + // no deps in the dockerfile + return + } + data := make([]string, 0) + noErr(json.Unmarshal([]byte(result), &data)) + for _, path := range data { + stat := noErr2(os.Stat(filepath.Join(projectRoot, path))) + if stat.IsDir() { + // log this very interesting observation + t.Logf("dockerfile copies in a whole directory: %s", path) + } + } + }) + } +} diff --git a/scripts/buildinputs/dockerfile.go b/scripts/buildinputs/dockerfile.go new file mode 100644 index 000000000..f5eb6cafd --- /dev/null +++ b/scripts/buildinputs/dockerfile.go @@ -0,0 +1,114 @@ +package main + +import ( + "context" + "encoding/json" + "fmt" + "github.com/containerd/platforms" + "github.com/moby/buildkit/client/llb" + "github.com/moby/buildkit/client/llb/sourceresolver" + "github.com/moby/buildkit/frontend/dockerfile/dockerfile2llb" + "github.com/moby/buildkit/frontend/dockerfile/parser" + "github.com/moby/buildkit/frontend/dockerui" + "github.com/moby/buildkit/solver/pb" + "github.com/opencontainers/go-digest" + ocispecs "github.com/opencontainers/image-spec/specs-go/v1" + "github.com/pkg/errors" + "log" + "os" + "strings" +) + +func getDockerfileDeps(dockerfile string) string { + ctx := context.Background() + data := noErr2(os.ReadFile(dockerfile)) + + st, _, _, _, err := dockerfile2llb.Dockerfile2LLB(ctx, data, dockerfile2llb.ConvertOpt{ + // building an image requires fetching the metadata for its parent + // this fakes a parent so that this tool does not need to do network i/o + MetaResolver: &testResolver{ + // random digest value + digest: "sha256:a1c7d58d98df3f9a67eda799200655b923ebc7a41cad1d9bb52723ae1c81ad17", + dir: "/", + platform: "linux/amd64", + }, + Config: dockerui.Config{ + BuildArgs: map[string]string{"BASE_IMAGE": "fake-image"}, + BuildPlatforms: []ocispecs.Platform{{OS: "linux", Architecture: "amd64"}}, + }, + Warn: func(rulename, description, url, fmtmsg string, location []parser.Range) { + log.Printf(rulename, description, url, fmtmsg, location) + }, + }) + noErr(err) + + definition := noErr2(st.Marshal(ctx)) + return getOpSourceFollowPaths(definition) +} + +func getOpSourceFollowPaths(definition *llb.Definition) string { + // https://earthly.dev/blog/compiling-containers-dockerfiles-llvm-and-buildkit/ + // https://stackoverflow.com/questions/73067660/what-exactly-is-the-frontend-and-backend-of-docker-buildkit + + ops := make([]llbOp, 0) + for _, dt := range definition.Def { + var op pb.Op + if err := op.UnmarshalVT(dt); err != nil { + panic("failed to parse op") + } + dgst := digest.FromBytes(dt) + ent := llbOp{Op: &op, Digest: dgst, OpMetadata: definition.Metadata[dgst].ToPB()} + ops = append(ops, ent) + } + + for _, op := range ops { + switch op := op.Op.Op.(type) { + case *pb.Op_Source: + if strings.HasPrefix(op.Source.Identifier, "docker-image://") { + // no-op + } else if strings.HasPrefix(op.Source.Identifier, "local://") { + paths := op.Source.Attrs[pb.AttrFollowPaths] + return paths + } else { + panic(fmt.Errorf("unexpected prefix %v", op.Source.Identifier)) + } + } + } + return "" +} + +// llbOp holds data for a single loaded LLB op +type llbOp struct { + Op *pb.Op + Digest digest.Digest + OpMetadata *pb.OpMetadata +} + +// testResolver provides a fake parent image manifest for the build +type testResolver struct { + digest digest.Digest + dir string + platform string +} + +func (r *testResolver) ResolveImageConfig(ctx context.Context, ref string, opt sourceresolver.Opt) (string, digest.Digest, []byte, error) { + var img struct { + Config struct { + Env []string `json:"Env,omitempty"` + WorkingDir string `json:"WorkingDir,omitempty"` + User string `json:"User,omitempty"` + } `json:"config,omitempty"` + } + + img.Config.WorkingDir = r.dir + + if opt.Platform != nil { + r.platform = platforms.Format(*opt.Platform) + } + + dt, err := json.Marshal(img) + if err != nil { + return "", "", nil, errors.WithStack(err) + } + return ref, r.digest, dt, nil +} diff --git a/scripts/buildinputs/go.mod b/scripts/buildinputs/go.mod new file mode 100644 index 000000000..57f2f61d6 --- /dev/null +++ b/scripts/buildinputs/go.mod @@ -0,0 +1,60 @@ +module dockerfile + +go 1.22.0 + +require ( + github.com/containerd/platforms v0.2.1 + github.com/moby/buildkit v0.18.1 + github.com/opencontainers/go-digest v1.0.0 + github.com/opencontainers/image-spec v1.1.0 + github.com/pkg/errors v0.9.1 +) + +require ( + github.com/AdaLogics/go-fuzz-headers v0.0.0-20230811130428-ced1acdcaa24 // indirect + github.com/agext/levenshtein v1.2.3 // indirect + github.com/containerd/containerd v1.7.24 // indirect + github.com/containerd/errdefs v0.3.0 // indirect + github.com/containerd/log v0.1.0 // indirect + github.com/containerd/ttrpc v1.2.5 // indirect + github.com/containerd/typeurl/v2 v2.2.3 // indirect + github.com/distribution/reference v0.6.0 // indirect + github.com/docker/go-connections v0.5.0 // indirect + github.com/docker/go-units v0.5.0 // indirect + github.com/felixge/httpsnoop v1.0.4 // indirect + github.com/go-logr/logr v1.4.2 // indirect + github.com/go-logr/stdr v1.2.2 // indirect + github.com/gogo/protobuf v1.3.2 // indirect + github.com/golang/protobuf v1.5.4 // indirect + github.com/google/shlex v0.0.0-20191202100458-e7afc7fbc510 // indirect + github.com/google/uuid v1.6.0 // indirect + github.com/hashicorp/errwrap v1.1.0 // indirect + github.com/hashicorp/go-multierror v1.1.1 // indirect + github.com/in-toto/in-toto-golang v0.5.0 // indirect + github.com/klauspost/compress v1.17.11 // indirect + github.com/moby/docker-image-spec v1.3.1 // indirect + github.com/moby/locker v1.0.1 // indirect + github.com/moby/patternmatcher v0.6.0 // indirect + github.com/moby/sys/signal v0.7.1 // indirect + github.com/planetscale/vtprotobuf v0.6.1-0.20240319094008-0393e58bdf10 // indirect + github.com/secure-systems-lab/go-securesystemslib v0.4.0 // indirect + github.com/shibumi/go-pathspec v1.3.0 // indirect + github.com/sirupsen/logrus v1.9.3 // indirect + github.com/tonistiigi/fsutil v0.0.0-20241121093142-31cf1f437184 // indirect + github.com/tonistiigi/go-csvvalue v0.0.0-20240710180619-ddb21b71c0b4 // indirect + go.opentelemetry.io/contrib/instrumentation/google.golang.org/grpc/otelgrpc v0.46.1 // indirect + go.opentelemetry.io/contrib/instrumentation/net/http/httptrace/otelhttptrace v0.46.1 // indirect + go.opentelemetry.io/contrib/instrumentation/net/http/otelhttp v0.53.0 // indirect + go.opentelemetry.io/otel v1.28.0 // indirect + go.opentelemetry.io/otel/metric v1.28.0 // indirect + go.opentelemetry.io/otel/sdk v1.28.0 // indirect + go.opentelemetry.io/otel/trace v1.28.0 // indirect + golang.org/x/crypto v0.27.0 // indirect + golang.org/x/net v0.29.0 // indirect + golang.org/x/sync v0.8.0 // indirect + golang.org/x/sys v0.26.0 // indirect + golang.org/x/text v0.18.0 // indirect + google.golang.org/genproto/googleapis/rpc v0.0.0-20240701130421-f6361c86f094 // indirect + google.golang.org/grpc v1.66.3 // indirect + google.golang.org/protobuf v1.35.1 // indirect +) diff --git a/scripts/buildinputs/go.sum b/scripts/buildinputs/go.sum new file mode 100644 index 000000000..08aebacd5 --- /dev/null +++ b/scripts/buildinputs/go.sum @@ -0,0 +1,181 @@ +cloud.google.com/go/compute v1.23.0 h1:tP41Zoavr8ptEqaW6j+LQOnyBBhO7OkOMAGrgLopTwY= +cloud.google.com/go/compute/metadata v0.3.0 h1:Tz+eQXMEqDIKRsmY3cHTL6FVaynIjX2QxYC4trgAKZc= 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h1:NFTV2Zj1bL4mc9sqWACXbQFVBBg2W3GPvqp8/ESS2Wg= +github.com/felixge/httpsnoop v1.0.4/go.mod h1:m8KPJKqk1gH5J9DgRY2ASl2lWCfGKXixSwevea8zH2U= +github.com/go-logr/logr v1.2.2/go.mod h1:jdQByPbusPIv2/zmleS9BjJVeZ6kBagPoEUsqbVz/1A= +github.com/go-logr/logr v1.4.2 h1:6pFjapn8bFcIbiKo3XT4j/BhANplGihG6tvd+8rYgrY= +github.com/go-logr/logr v1.4.2/go.mod h1:9T104GzyrTigFIr8wt5mBrctHMim0Nb2HLGrmQ40KvY= +github.com/go-logr/stdr v1.2.2 h1:hSWxHoqTgW2S2qGc0LTAI563KZ5YKYRhT3MFKZMbjag= +github.com/go-logr/stdr v1.2.2/go.mod h1:mMo/vtBO5dYbehREoey6XUKy/eSumjCCveDpRre4VKE= +github.com/gogo/protobuf v1.3.2 h1:Ov1cvc58UF3b5XjBnZv7+opcTcQFZebYjWzi34vdm4Q= +github.com/gogo/protobuf v1.3.2/go.mod h1:P1XiOD3dCwIKUDQYPy72D8LYyHL2YPYrpS2s69NZV8Q= +github.com/golang/groupcache v0.0.0-20210331224755-41bb18bfe9da h1:oI5xCqsCo564l8iNU+DwB5epxmsaqB+rhGL0m5jtYqE= +github.com/golang/groupcache v0.0.0-20210331224755-41bb18bfe9da/go.mod h1:cIg4eruTrX1D+g88fzRXU5OdNfaM+9IcxsU14FzY7Hc= +github.com/golang/protobuf v1.5.4 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v3.0.0-20200313102051-9f266ea9e77c/go.mod h1:K4uyk7z7BCEPqu6E+C64Yfv1cQ7kz7rIZviUmN+EgEM= +gopkg.in/yaml.v3 v3.0.1 h1:fxVm/GzAzEWqLHuvctI91KS9hhNmmWOoWu0XTYJS7CA= +gopkg.in/yaml.v3 v3.0.1/go.mod h1:K4uyk7z7BCEPqu6E+C64Yfv1cQ7kz7rIZviUmN+EgEM= diff --git a/scripts/buildinputs/utils.go b/scripts/buildinputs/utils.go new file mode 100644 index 000000000..d9db3682c --- /dev/null +++ b/scripts/buildinputs/utils.go @@ -0,0 +1,16 @@ +package main + +// noErr panics if the argument (usually a result of a function call) +// returns a != nil error +func noErr(err error) { + if err != nil { + panic(err) + } +} + +// noErr2 is a 2-arity variant of noErr, that passes through the first +// value from the argument +func noErr2[T any](result T, err error) T { + noErr(err) + return result +} diff --git a/scripts/sandbox.py b/scripts/sandbox.py new file mode 100755 index 000000000..352723b63 --- /dev/null +++ b/scripts/sandbox.py @@ -0,0 +1,77 @@ +#! /usr/bin/env python3 + +import argparse +import logging +import pathlib +import shutil +import subprocess +import sys +import tempfile +import json +from typing import cast + +ROOT_DIR = pathlib.Path(__file__).parent.parent +MAKE = shutil.which("gmake") or shutil.which("make") + +logging.basicConfig() +logging.root.name = pathlib.Path(__file__).name + + +class Args(argparse.Namespace): + dockerfile: pathlib.Path + remaining: list[str] + + +def main() -> int: + p = argparse.ArgumentParser(allow_abbrev=False) + p.add_argument("--dockerfile", type=pathlib.Path, required=True) + p.add_argument('remaining', nargs=argparse.REMAINDER) + + args = cast(Args, p.parse_args()) + + print(f"{__file__=} started with {args=}") + + if not args.remaining or args.remaining[0] != "--": + print("must specify command to execute after double dashes at the end, such as `-- command --args ...`") + return 1 + if not "{};" in args.remaining: + print("must give a `{};` parameter that will be replaced with new build context") + return 1 + + if not (ROOT_DIR / "bin/buildinputs").exists(): + subprocess.check_call([MAKE, "bin/buildinputs"], cwd=ROOT_DIR) + stdout = subprocess.check_output([ROOT_DIR / "bin/buildinputs", str(args.dockerfile)], + text=True, cwd=ROOT_DIR) + prereqs = [pathlib.Path(file) for file in json.loads(stdout)] if stdout != "\n" else [] + print(f"{prereqs=}") + + with tempfile.TemporaryDirectory(delete=True) as tmpdir: + setup_sandbox(prereqs, pathlib.Path(tmpdir)) + command = [arg if arg != "{};" else tmpdir for arg in args.remaining[1:]] + print(f"running {command=}") + try: + subprocess.check_call(command) + except subprocess.CalledProcessError as err: + logging.error("Failed to execute process, see errors logged above ^^^") + return err.returncode + return 0 + + +def setup_sandbox(prereqs: list[pathlib.Path], tmpdir: pathlib.Path): + # always adding .gitignore + gitignore = ROOT_DIR / ".gitignore" + if gitignore.exists(): + shutil.copy(gitignore, tmpdir) + + for dep in prereqs: + if dep.is_absolute(): + dep = dep.relative_to(ROOT_DIR) + if dep.is_dir(): + shutil.copytree(dep, tmpdir / dep, symlinks=False, dirs_exist_ok=True) + else: + (tmpdir / dep.parent).mkdir(parents=True, exist_ok=True) + shutil.copy(dep, tmpdir / dep.parent) + + +if __name__ == '__main__': + sys.exit(main()) diff --git a/scripts/sandbox_tests.py b/scripts/sandbox_tests.py new file mode 100755 index 000000000..383eab199 --- /dev/null +++ b/scripts/sandbox_tests.py @@ -0,0 +1,55 @@ +#! /usr/bin/env python3 + +import glob +import logging +import pathlib +import sys +import tempfile + +import pyfakefs.fake_filesystem + +from scripts.sandbox import setup_sandbox + +ROOT_DIR = pathlib.Path(__file__).parent.parent + +logging.basicConfig() +logging.root.name = pathlib.Path(__file__).name + +class TestSandbox: + def test_filesystem_file(self, fs: pyfakefs.fake_filesystem.FakeFilesystem): + pathlib.Path("a").write_text("a") + + with tempfile.TemporaryDirectory(delete=True) as tmpdir: + setup_sandbox([pathlib.Path("a")], pathlib.Path(tmpdir)) + assert (pathlib.Path(tmpdir) / "a").is_file() + + def test_filesystem_dir_with_file(self, fs: pyfakefs.fake_filesystem.FakeFilesystem): + pathlib.Path("a/").mkdir() + pathlib.Path("a/b").write_text("b") + + with tempfile.TemporaryDirectory(delete=True) as tmpdir: + setup_sandbox([pathlib.Path("a")], pathlib.Path(tmpdir)) + assert (pathlib.Path(tmpdir) / "a").is_dir() + assert (pathlib.Path(tmpdir) / "a" / "b").is_file() + + def test_filesystem_dir_with_dir_with_file(self, fs: pyfakefs.fake_filesystem.FakeFilesystem): + pathlib.Path("a/b").mkdir(parents=True) + pathlib.Path("a/b/c").write_text("c") + + with tempfile.TemporaryDirectory(delete=True) as tmpdir: + setup_sandbox([pathlib.Path("a")], pathlib.Path(tmpdir)) + assert (pathlib.Path(tmpdir) / "a").is_dir() + assert (pathlib.Path(tmpdir) / "a" / "b").is_dir() + assert (pathlib.Path(tmpdir) / "a" / "b" / "c").is_file() + + def test_filesystem_file_in_dir_in_dir(self, fs: pyfakefs.fake_filesystem.FakeFilesystem): + pathlib.Path("a/b").mkdir(parents=True) + pathlib.Path("a/b/c").write_text("c") + + with tempfile.TemporaryDirectory(delete=True) as tmpdir: + setup_sandbox([pathlib.Path("a/b/c")], pathlib.Path(tmpdir)) + for g in glob.glob("**/*", recursive=True): + logging.debug("%s", g) + assert (pathlib.Path(tmpdir) / "a").is_dir() + assert (pathlib.Path(tmpdir) / "a" / "b").is_dir() + assert (pathlib.Path(tmpdir) / "a" / "b" / "c").is_file() diff --git a/tests/test_main.py b/tests/test_main.py index 892a80dde..5cc7be318 100644 --- a/tests/test_main.py +++ b/tests/test_main.py @@ -3,6 +3,7 @@ import os import logging import pathlib +import shutil import subprocess import tomllib from typing import TYPE_CHECKING @@ -11,11 +12,12 @@ import pytest_subtests PROJECT_ROOT = pathlib.Path(__file__).parent.parent - +MAKE = shutil.which("gmake") or shutil.which("make") def test_image_pipfiles(subtests: pytest_subtests.plugin.SubTests): for file in PROJECT_ROOT.glob("**/Pipfile"): with subtests.test(msg="checking Pipfile", pipfile=file): + print(file) directory = file.parent # "ubi9-python-3.9" ubi, lang, python = directory.name.split("-") @@ -28,8 +30,8 @@ def test_image_pipfiles(subtests: pytest_subtests.plugin.SubTests): def test_files_that_should_be_same_are_same(subtests: pytest_subtests.plugin.SubTests): file_groups = { "ROCm de-vendor script": - [PROJECT_ROOT / "jupyter/rocm/pytorch/ubi9-python-3.9/de-vendor-torch.sh", - PROJECT_ROOT / "runtimes/rocm-pytorch/ubi9-python-3.9/de-vendor-torch.sh"] + [PROJECT_ROOT / "jupyter/rocm/pytorch/ubi9-python-3.11/de-vendor-torch.sh", + PROJECT_ROOT / "runtimes/rocm-pytorch/ubi9-python-3.11/de-vendor-torch.sh"] } for group_name, (first_file, *rest) in file_groups.items(): with subtests.test(msg=f"Checking {group_name}"): @@ -38,7 +40,7 @@ def test_files_that_should_be_same_are_same(subtests: pytest_subtests.plugin.Sub def test_make_building_only_specified_images(subtests: pytest_subtests.plugin.SubTests): - for goals in (["rocm-jupyter-tensorflow-ubi9-python-3.9"], ["rocm-jupyter-tensorflow-ubi9-python-3.9", "base-ubi9-python-3.9"]): + for goals in (["rocm-jupyter-tensorflow-ubi9-python-3.11"], ["rocm-jupyter-tensorflow-ubi9-python-3.11", "base-ubi9-python-3.11"]): with subtests.test(msg="Running goals", goals=goals): lines = dryrun_make(goals, env={"BUILD_DEPENDENT_IMAGES": "no"}) builds_number = 0 @@ -49,7 +51,7 @@ def test_make_building_only_specified_images(subtests: pytest_subtests.plugin.Su def test_make_disable_pushing(): - lines = dryrun_make(["rocm-jupyter-tensorflow-ubi9-python-3.9"], env={"PUSH_IMAGES": ""}) + lines = dryrun_make(["rocm-jupyter-tensorflow-ubi9-python-3.11"], env={"PUSH_IMAGES": ""}) for line in lines: assert "podman push" not in line @@ -59,7 +61,7 @@ def dryrun_make(make_args: list[str], env: dict[str, str] | None = None) -> list try: logging.info(f"Running make in --just-print mode for target(s) {make_args} with env {env}") - lines = subprocess.check_output(["make", "--just-print", *make_args], encoding="utf-8", + lines = subprocess.check_output([MAKE, "--just-print", *make_args], encoding="utf-8", env={**os.environ, **env}, cwd=PROJECT_ROOT).splitlines() for line in lines: