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sdk-endpoints-online-mlflow-online-endpoints-deploy-mlflow-model-with-script.yml
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# This code is autogenerated.
# Code is generated by running custom script: python3 readme.py
# Any manual changes to this file may cause incorrect behavior.
# Any manual changes will be overwritten if the code is regenerated.
name: sdk-endpoints-online-mlflow-online-endpoints-deploy-mlflow-model-with-script
# This file is created by sdk/python/readme.py.
# Please do not edit directly.
on:
workflow_dispatch:
schedule:
- cron: "28 0/12 * * *"
pull_request:
branches:
- main
paths:
- sdk/python/endpoints/online/mlflow/**
- .github/workflows/sdk-endpoints-online-mlflow-online-endpoints-deploy-mlflow-model-with-script.yml
- sdk/python/dev-requirements.txt
- infra/bootstrapping/**
- sdk/python/setup.sh
permissions:
id-token: write
concurrency:
group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }}
cancel-in-progress: true
jobs:
build:
runs-on: ubuntu-latest
steps:
- name: check out repo
uses: actions/checkout@v2
- name: setup python
uses: actions/setup-python@v2
with:
python-version: "3.10"
- name: pip install notebook reqs
run: pip install -r sdk/python/dev-requirements.txt
- name: azure login
uses: azure/login@v1
with:
client-id: ${{ secrets.OIDC_AZURE_CLIENT_ID }}
tenant-id: ${{ secrets.OIDC_AZURE_TENANT_ID }}
subscription-id: ${{ secrets.OIDC_AZURE_SUBSCRIPTION_ID }}
- name: bootstrap resources
run: |
echo '${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }}';
bash bootstrap.sh
working-directory: infra/bootstrapping
continue-on-error: false
- name: setup SDK
run: |
source "${{ github.workspace }}/infra/bootstrapping/sdk_helpers.sh";
source "${{ github.workspace }}/infra/bootstrapping/init_environment.sh";
bash setup.sh
working-directory: sdk/python
continue-on-error: true
- name: validate readme
run: |
python check-readme.py "${{ github.workspace }}/sdk/python/endpoints/online/mlflow"
working-directory: infra/bootstrapping
continue-on-error: false
- name: setup-cli
run: |
source "${{ github.workspace }}/infra/bootstrapping/sdk_helpers.sh";
source "${{ github.workspace }}/infra/bootstrapping/init_environment.sh";
bash setup.sh
working-directory: cli
continue-on-error: true
- name: Eagerly cache access tokens for required scopes
run: |
# Workaround for azure-cli's lack of support for ID token refresh
# Taken from: https://github.com/Azure/login/issues/372#issuecomment-2056289617
# Management
az account get-access-token --scope https://management.azure.com/.default --output none
# ML
az account get-access-token --scope https://ml.azure.com/.default --output none
- name: run endpoints/online/mlflow/online-endpoints-deploy-mlflow-model-with-script.ipynb
run: |
source "${{ github.workspace }}/infra/bootstrapping/sdk_helpers.sh";
source "${{ github.workspace }}/infra/bootstrapping/init_environment.sh";
bash "${{ github.workspace }}/infra/bootstrapping/sdk_helpers.sh" generate_workspace_config "../../.azureml/config.json";
bash "${{ github.workspace }}/infra/bootstrapping/sdk_helpers.sh" replace_template_values "online-endpoints-deploy-mlflow-model-with-script.ipynb";
[ -f "../../.azureml/config" ] && cat "../../.azureml/config";
papermill -k python online-endpoints-deploy-mlflow-model-with-script.ipynb online-endpoints-deploy-mlflow-model-with-script.output.ipynb
working-directory: sdk/python/endpoints/online/mlflow
- name: upload notebook's working folder as an artifact
if: ${{ always() }}
uses: ./.github/actions/upload-artifact
with:
name: online-endpoints-deploy-mlflow-model-with-script
path: sdk/python/endpoints/online/mlflow