Refresh One Notebook #43
Workflow file for this run
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| name: Refresh One Notebook | |
| on: | |
| workflow_dispatch: | |
| inputs: | |
| notebook: | |
| # --- refresh_notebooks_list.py: refresh list of notebooks currently available [START] --- | |
| # --- do not edit, auto generated part by `make refresh_notebooks_list` --- | |
| description: "Notebook file name only in: \n | |
| - CifarInFhe \n | |
| - CifarInFheWithSmallerAccumulators \n | |
| - CifarQuantizationAwareTraining \n | |
| - ClassifierComparison \n | |
| - ClientServer \n | |
| - ConvolutionalNeuralNetwork \n | |
| - CreditScoring \n | |
| - DecisionTreeClassifier \n | |
| - DecisionTreeRegressor \n | |
| - EncryptedPandas \n | |
| - ExperimentPrivacyTreePaper \n | |
| - FromImageNetToCifar \n | |
| - FullyConnectedNeuralNetwork \n | |
| - FullyConnectedNeuralNetworkOnMNIST \n | |
| - GLMComparison \n | |
| - HealthCarePrediction \n | |
| - KaggleTitanic \n | |
| - KNearestNeighbors \n | |
| - LinearRegression \n | |
| - LinearSVR \n | |
| - LogisticRegression \n | |
| - LogisticRegressionTraining \n | |
| - PerrorImpactOnFMNIST \n | |
| - PoissonRegression \n | |
| - QGPT2Evaluate \n | |
| - QuantFrameworkExample \n | |
| - QuantizationAwareTraining \n | |
| - RegressorComparison \n | |
| - SentimentClassification \n | |
| - SVMClassifier \n | |
| - XGBClassifier \n | |
| - XGBRegressor \n | |
| " | |
| # --- refresh_notebooks_list.py: refresh list of notebooks currently available [END] --- | |
| required: true | |
| concurrency: | |
| group: "${{ github.ref }}-${{ github.event_name }}-${{ github.workflow }}-${{ github.event.inputs.notebook }}" | |
| cancel-in-progress: false | |
| env: | |
| ACTION_RUN_URL: ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }} | |
| # --- refresh_notebooks_list.py: refresh list of notebook paths currently available [START] --- | |
| # --- do not edit, auto generated part by `make refresh_notebooks_list` --- | |
| CifarInFhe: "use_case_examples/cifar/cifar_brevitas_finetuning/CifarInFhe.ipynb" | |
| CifarInFheWithSmallerAccumulators: "use_case_examples/cifar/cifar_brevitas_finetuning/CifarInFheWithSmallerAccumulators.ipynb" | |
| CifarQuantizationAwareTraining: "use_case_examples/cifar/cifar_brevitas_finetuning/CifarQuantizationAwareTraining.ipynb" | |
| ClassifierComparison: "docs/advanced_examples/ClassifierComparison.ipynb" | |
| ClientServer: "docs/advanced_examples/ClientServer.ipynb" | |
| ConvolutionalNeuralNetwork: "docs/advanced_examples/ConvolutionalNeuralNetwork.ipynb" | |
| CreditScoring: "use_case_examples/credit_scoring/CreditScoring.ipynb" | |
| DecisionTreeClassifier: "docs/advanced_examples/DecisionTreeClassifier.ipynb" | |
| DecisionTreeRegressor: "docs/advanced_examples/DecisionTreeRegressor.ipynb" | |
| EncryptedPandas: "docs/advanced_examples/EncryptedPandas.ipynb" | |
| ExperimentPrivacyTreePaper: "docs/advanced_examples/ExperimentPrivacyTreePaper.ipynb" | |
| FromImageNetToCifar: "use_case_examples/cifar/cifar_brevitas_finetuning/FromImageNetToCifar.ipynb" | |
| FullyConnectedNeuralNetwork: "docs/advanced_examples/FullyConnectedNeuralNetwork.ipynb" | |
| FullyConnectedNeuralNetworkOnMNIST: "docs/advanced_examples/FullyConnectedNeuralNetworkOnMNIST.ipynb" | |
| GLMComparison: "docs/advanced_examples/GLMComparison.ipynb" | |
| HealthCarePrediction: "use_case_examples/disease_prediction/HealthCarePrediction.ipynb" | |
| KaggleTitanic: "use_case_examples/titanic/KaggleTitanic.ipynb" | |
| KNearestNeighbors: "docs/advanced_examples/KNearestNeighbors.ipynb" | |
| LinearRegression: "docs/advanced_examples/LinearRegression.ipynb" | |
| LinearSVR: "docs/advanced_examples/LinearSVR.ipynb" | |
| LogisticRegression: "docs/advanced_examples/LogisticRegression.ipynb" | |
| LogisticRegressionTraining: "docs/advanced_examples/LogisticRegressionTraining.ipynb" | |
| PerrorImpactOnFMNIST: "use_case_examples/cifar/cifar_brevitas_finetuning/PerrorImpactOnFMNIST.ipynb" | |
| PoissonRegression: "docs/advanced_examples/PoissonRegression.ipynb" | |
| QGPT2Evaluate: "use_case_examples/llm/QGPT2Evaluate.ipynb" | |
| QuantFrameworkExample: "use_case_examples/llm/QuantFrameworkExample.ipynb" | |
| QuantizationAwareTraining: "docs/advanced_examples/QuantizationAwareTraining.ipynb" | |
| RegressorComparison: "docs/advanced_examples/RegressorComparison.ipynb" | |
| SentimentClassification: "use_case_examples/sentiment_analysis_with_transformer/SentimentClassification.ipynb" | |
| SVMClassifier: "docs/advanced_examples/SVMClassifier.ipynb" | |
| XGBClassifier: "docs/advanced_examples/XGBClassifier.ipynb" | |
| XGBRegressor: "docs/advanced_examples/XGBRegressor.ipynb" | |
| # --- refresh_notebooks_list.py: refresh list of notebook paths currently available [END] --- | |
| jobs: | |
| start-runner-linux: | |
| name: Start EC2 runner | |
| runs-on: ubuntu-20.04 | |
| outputs: | |
| label-38: ${{ steps.start-ec2-runner-38.outputs.label }} | |
| ec2-instance-id-38: ${{ steps.start-ec2-runner-38.outputs.ec2-instance-id || '' }} | |
| steps: | |
| - name: Checkout Code | |
| uses: actions/checkout@9bb56186c3b09b4f86b1c65136769dd318469633 | |
| - name: Configure AWS credentials | |
| uses: aws-actions/configure-aws-credentials@e3dd6a429d7300a6a4c196c26e071d42e0343502 | |
| with: | |
| aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID }} | |
| aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }} | |
| aws-region: ${{ secrets.AWS_REGION }} | |
| - name: Start EC2 runner python 38 | |
| id: start-ec2-runner-38 | |
| uses: machulav/ec2-github-runner@fcfb31a5760dad1314a64a0e172b78ec6fc8a17e | |
| with: | |
| mode: start | |
| github-token: ${{ secrets.EC2_RUNNER_BOT_TOKEN }} | |
| ec2-image-id: ${{ secrets.AWS_EC2_AMI }} | |
| ec2-instance-type: "m6i.metal" | |
| subnet-id: ${{ secrets.AWS_EC2_SUBNET_ID }} | |
| security-group-id: ${{ secrets.AWS_EC2_SECURITY_GROUP_ID }} | |
| refresh-one-notebook: | |
| needs: [start-runner-linux] | |
| runs-on: ${{ needs.start-runner-linux.outputs.label-38 }} | |
| # Run in a clean container | |
| container: | |
| image: ubuntu:20.04 | |
| defaults: | |
| run: | |
| shell: bash | |
| env: | |
| PIP_INDEX_URL: ${{ secrets.PIP_INDEX_URL }} | |
| PIP_EXTRA_INDEX_URL: ${{ secrets.PIP_EXTRA_INDEX_URL }} | |
| NOTEBOOK_NAME: ${{ github.event.inputs.notebook }} | |
| KAGGLE_USERNAME: ${{ secrets.KAGGLE_USERNAME }} | |
| KAGGLE_KEY: ${{ secrets.KAGGLE_KEY }} | |
| steps: | |
| - name: Add masks | |
| run: | | |
| echo "::add-mask::${{ secrets.INTERNAL_PYPI_URL_FOR_MASK }}" | |
| echo "::add-mask::${{ secrets.INTERNAL_REPO_URL_FOR_MASK }}" | |
| # Replace default archive.ubuntu.com from docker image with fr mirror | |
| # original archive showed performance issues and is farther away | |
| - name: Docker container related setup and git installation | |
| run: | | |
| TZ=Europe/Paris | |
| echo "TZ=${TZ}" >> "$GITHUB_ENV" | |
| ln -snf /usr/share/zoneinfo/${TZ} /etc/localtime && echo ${TZ} > /etc/timezone | |
| sed -i 's|^deb http://archive|deb http://fr.archive|g' /etc/apt/sources.list | |
| apt update && apt install git git-lfs -y | |
| - name: Checkout Code | |
| uses: actions/checkout@9bb56186c3b09b4f86b1c65136769dd318469633 | |
| with: | |
| token: ${{ secrets.BOT_TOKEN }} | |
| lfs: true | |
| - name: 'Set up Python 3.8' | |
| uses: actions/setup-python@82c7e631bb3cdc910f68e0081d67478d79c6982d | |
| with: | |
| python-version: '3.8' | |
| - name: Install dependencies | |
| run: | | |
| ./script/make_utils/setup_os_deps.sh | |
| make setup_env | |
| - name: Download Sentiment classification data-sets | |
| if: ${{ env.NOTEBOOK_NAME == 'SentimentClassification' }} | |
| run: | | |
| source .venv/bin/activate | |
| cd ./use_case_examples/encrypted_sentiment_analysis && ./download_data.sh | |
| - name: Download Titanic data-sets | |
| if: ${{ env.NOTEBOOK_NAME == 'KaggleTitanic' }} | |
| run: | | |
| source .venv/bin/activate | |
| cd ./use_case_examples/titanic && ./download_data.sh | |
| - name: Refresh ${{ github.event.inputs.notebook }} | |
| run: | | |
| make jupyter_execute_one NOTEBOOK="${{ env[env.NOTEBOOK_NAME] }}" | |
| # Pull the latest changes if there are some | |
| - name: Pull latest changes | |
| run: | | |
| git pull -X theirs | |
| # If the target branch is main or a release branch, a Pull Request is opened for everyone to | |
| # review. | |
| - name: Open PR | |
| if: ${{ github.ref_name == 'main' || startsWith(github.ref_name , 'release/') }} | |
| uses: peter-evans/create-pull-request@6d6857d36972b65feb161a90e484f2984215f83e | |
| with: | |
| token: ${{ secrets.BOT_TOKEN }} | |
| commit-message: "chore: refresh ${{ github.event.inputs.notebook }} notebook" | |
| branch: "refresh-${{ github.event.inputs.notebook }}-notebook-for-${{ github.ref_name }}" | |
| base: "${{ github.ref_name }}" | |
| title: "Refresh ${{ github.event.inputs.notebook }} notebook for ${{ github.ref_name }}" | |
| body: "Automatic PR with notebook refresh of ${{ github.event.inputs.notebook }} \ | |
| for ${{ github.ref_name }}." | |
| add-paths: | | |
| docs/**/*.ipynb | |
| use_case_examples/**/*.ipynb | |
| # If the target branch is another branch, the current branch is automatically merged into it | |
| - name: Push changes into the current branch | |
| if: ${{ github.ref_name != 'main' && !(startsWith(github.ref_name , 'release/')) }} | |
| uses: stefanzweifel/git-auto-commit-action@v5 | |
| with: | |
| commit_message: "chore: refresh ${{ github.event.inputs.notebook }} notebook" | |
| add_options: '-u' | |
| stop-runner-linux: | |
| name: Stop EC2 runner | |
| needs: [refresh-one-notebook, start-runner-linux] | |
| runs-on: ubuntu-20.04 | |
| if: ${{ always() && (needs.start-runner-linux.result != 'skipped') }} | |
| steps: | |
| - name: Configure AWS credentials | |
| uses: aws-actions/configure-aws-credentials@e3dd6a429d7300a6a4c196c26e071d42e0343502 | |
| with: | |
| aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID }} | |
| aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }} | |
| aws-region: ${{ secrets.AWS_REGION }} | |
| - name: Stop EC2 runner python 38 | |
| uses: machulav/ec2-github-runner@fcfb31a5760dad1314a64a0e172b78ec6fc8a17e | |
| if: ${{ always() && needs.start-runner-linux.outputs.ec2-instance-id-38 }} | |
| with: | |
| github-token: ${{ secrets.EC2_RUNNER_BOT_TOKEN }} | |
| label: ${{ needs.start-runner-linux.outputs.label-38 }} | |
| ec2-instance-id: ${{ needs.start-runner-linux.outputs.ec2-instance-id-38 }} | |
| mode: stop | |
| send-report: | |
| if: ${{ github.ref_name == 'main' || startsWith(github.ref_name , 'release/') }} | |
| needs: | |
| [ | |
| start-runner-linux, | |
| refresh-one-notebook, | |
| stop-runner-linux, | |
| ] | |
| # If the target branch is main or a release branch, a slack notification is sent | |
| name: Send Slack notification | |
| runs-on: ubuntu-20.04 | |
| steps: | |
| - uses: actions/checkout@9bb56186c3b09b4f86b1c65136769dd318469633 | |
| - name: Prepare whole job status | |
| if: ${{ always() }} | |
| continue-on-error: true | |
| env: | |
| NEEDS_JSON: ${{ toJSON(needs) }} | |
| run: | | |
| echo "${NEEDS_JSON}" > /tmp/needs_context.json | |
| JOB_STATUS=$(python3 ./script/actions_utils/actions_combine_status.py \ | |
| --needs_context_json /tmp/needs_context.json) | |
| echo "JOB_STATUS=${JOB_STATUS}" >> "$GITHUB_ENV" | |
| - name: Slack Notification | |
| continue-on-error: true | |
| uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907 | |
| env: | |
| SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }} | |
| SLACK_ICON: https://pbs.twimg.com/profile_images/1274014582265298945/OjBKP9kn_400x400.png | |
| SLACK_COLOR: ${{ env.JOB_STATUS || 'failure' }} | |
| SLACK_MESSAGE: "Refreshing ${{ github.event.inputs.notebook }} for ${{ github.ref_name }} | |
| finished with status ${{ env.JOB_STATUS || 'failure' }} (${{ env.ACTION_RUN_URL }})\n\ | |
| - start-runner-linux: ${{ needs.start-runner-linux.result || 'Did not run.'}}\n\n\ | |
| - refresh-one-notebook: ${{ needs.refresh-one-notebook.result || 'Did not run.' }}\n\n\ | |
| - stop-runner-linux: ${{ needs.stop-runner-linux.result || 'Did not run.'}}" | |
| SLACK_USERNAME: ${{ secrets.BOT_USERNAME }} | |
| SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }} |