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cli-assets-environment-docker-image.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: cli-assets-environment-docker-image
on:
workflow_dispatch:
schedule:
- cron: "44 2/12 * * *"
pull_request:
branches:
- main
paths:
- cli/assets/environment/docker-image.yml
- infra/bootstrapping/**
- .github/workflows/cli-assets-environment-docker-image.yml
- cli/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: azure login
uses: azure/login@v1
with:
client-id: ${{ secrets.OIDC_AZURE_CLIENT_ID }}
tenant-id: ${{ secrets.OIDC_AZURE_TENANT_ID }}
subscription-id: ${{ secrets.OIDC_AZURE_SUBSCRIPTION_ID }}
- name: bootstrap resources
run: |
bash bootstrap.sh
working-directory: infra/bootstrapping
continue-on-error: false
- name: setup-cli
run: |
source "${{ github.workspace }}/infra/bootstrapping/sdk_helpers.sh";
source "${{ github.workspace }}/infra/bootstrapping/init_environment.sh";
bash setup.sh
working-directory: cli
continue-on-error: true
- name: Eagerly cache access tokens for required scopes
run: |
# Workaround for azure-cli's lack of support for ID token refresh
# Taken from: https://github.com/Azure/login/issues/372#issuecomment-2056289617
# Management
az account get-access-token --scope https://management.azure.com/.default --output none
# ML
az account get-access-token --scope https://ml.azure.com/.default --output none
- name: validate readme
run: |
python check-readme.py "${{ github.workspace }}/cli/assets/environment"
working-directory: infra/bootstrapping
continue-on-error: false
- name: create asset
run: |
source "${{ github.workspace }}/infra/bootstrapping/sdk_helpers.sh";
source "${{ github.workspace }}/infra/bootstrapping/init_environment.sh";
az ml environment create -f assets/environment/docker-image.yml
working-directory: cli