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bootstrapping-resources.yml
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name: bootstrapping-resources
on:
workflow_dispatch:
schedule:
- cron: "0 */6 * * *"
pull_request:
branches:
- main
paths:
- sdk/**
- .github/workflows/bootstrapping-resources.yml
- cli/**
- infra/bootstrapping/**
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: "3.8"
- name: pip install notebook reqs
run: pip install -r sdk/python/dev-requirements.txt
- name: azure login
uses: azure/login@v1
with:
creds: ${{secrets.AZUREML_CREDENTIALS}}
- name: bootstrap resources
run: |
echo '${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }}';
bash bootstrap.sh
working-directory: infra/bootstrapping
continue-on-error: true
- name: setup SDK
run: |
source "${{ github.workspace }}/infra/bootstrapping/sdk_helpers.sh";
source "${{ github.workspace }}/infra/bootstrapping/init_environment.sh";
bash setup.sh
working-directory: sdk/python
continue-on-error: true
- name: setup-cli
run: |
source "${{ 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: cli-automl-image-classification-multilabel-task-fridge-items.yml
if: ${{ always() }}
run: |
source "${{ 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";
working-directory: cli/jobs/automl-standalone-jobs/cli-automl-image-classification-multilablel-task-fridge-items
timeout-minutes: 30
continue-on-error: true
- name: cli-automl-image-classification-multiclass-task-fridge-items.yml
if: ${{ always() }}
run: |
source "${{ 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";
working-directory: cli/jobs/automl-standalone-jobs/cli-automl-image-classification-multiclass-task-fridge-items
timeout-minutes: 30
continue-on-error: true
- name: cli-automl-image-instance-segmentation-task-fridge-items.yml
if: ${{ always() }}
run: |
source "${{ 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";
working-directory: cli/jobs/automl-standalone-jobs/cli-automl-image-instance-segmentation-task-fridge-items
timeout-minutes: 30
continue-on-error: true
- name: cli-automl-image-object-detection-task-fridge-items.yml
if: ${{ always() }}
run: |
source "${{ 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";
working-directory: cli/jobs/automl-standalone-jobs/cli-automl-image-object-detection-task-fridge-items
timeout-minutes: 30
continue-on-error: true
- name: image-instance-segmentation-task-fridge-items-pipeline.yml
if: ${{ always() }}
run: |
source "${{ 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";
working-directory: cli/jobs/pipelines/automl/image-instance-segmentation-task-fridge-items-pipeline
timeout-minutes: 30
continue-on-error: true
- name: image-multiclass-classification-fridge-items-pipeline.yml
if: ${{ always() }}
run: |
source "${{ 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";
working-directory: cli/jobs/pipelines/automl/image-multiclass-classification-fridge-items-pipeline
timeout-minutes: 30
continue-on-error: true
- name: image-multilabel-classification-fridge-items-pipeline.yml
if: ${{ always() }}
run: |
source "${{ 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";
working-directory: cli/jobs/pipelines/automl/image-multilabel-classification-fridge-items-pipeline
timeout-minutes: 30
continue-on-error: true
- name: image-object-detection-task-fridge-items-pipeline.yml
if: ${{ always() }}
run: |
source "${{ 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";
working-directory: cli/jobs/pipelines/automl/image-object-detection-task-fridge-items-pipeline
timeout-minutes: 30
continue-on-error: true
- name: set sampledata dataset
if: ${{ always() }}
run: |
set -x
source "${{ github.workspace }}/infra/bootstrapping/sdk_helpers.sh";
source "${{ github.workspace }}/infra/bootstrapping/init_environment.sh";
pip install azure.cli.core
pip install azureml-core
pip install azureml-dataset-runtime
python -c '
import sys
from azureml.core.workspace import Workspace
from azureml.core import Dataset
from azureml.core.authentication import AzureCliAuthentication
cli_auth = AzureCliAuthentication()
ws = Workspace.get(subscription_id=sys.argv[1],
resource_group=sys.argv[2],
name=sys.argv[3],
auth=cli_auth)
datastore = ws.datastores["workspaceblobstore"]
Dataset.File.upload_directory("example-data", (datastore, "example-data"))
dataset = Dataset.File.from_files(path=[(datastore, "example-data")])
dataset.register(ws, "sampledata")
' "$SUBSCRIPTION_ID" "$RESOURCE_GROUP_NAME" "$WORKSPACE_NAME"
working-directory: cli/assets/data
timeout-minutes: 300
continue-on-error: true
- name: create asset for cli/jobs/pipelines-with-components/basics/1b_e2e_registered_components
if: ${{ always() }}
run: |
source "${{ github.workspace }}/infra/bootstrapping/sdk_helpers.sh";
source "${{ github.workspace }}/infra/bootstrapping/init_environment.sh";
set -x
az ml component create --file train.yml
az ml component create --file score.yml
az ml component create --file eval.yml
# az ml component create --file pipeline.yml
working-directory: cli/jobs/pipelines-with-components/basics/1b_e2e_registered_components
timeout-minutes: 30
continue-on-error: true
- name: setup env for cli/jobs/pipelines-with-components/rai_pipeline_adult_analyse/
if: ${{ always() }}
run: |
source "${{ github.workspace }}/infra/bootstrapping/sdk_helpers.sh";
source "${{ github.workspace }}/infra/bootstrapping/init_environment.sh";
set -x
az ml environment create --file environment/responsibleai-environment.yaml
az ml data create --file data/data_adult_train.yaml
az ml data create --file data/data_adult_test.yaml
working-directory: cli/jobs/pipelines-with-components/rai_pipeline_adult_analyse/
timeout-minutes: 30
continue-on-error: true
- name: Please manually setup uri_file for cli/jobs/pipelines-with-components/basics/4b_datastore_datapath_uri/pipeline.yml
if: ${{ always() }}
run: |
echo Please manually setup uri_file for cli/jobs/pipelines-with-components/basics/4b_datastore_datapath_uri/pipeline.yml
az ml component create --file ./pipeline.yml
working-directory: cli/jobs/pipelines-with-components/basics/4b_datastore_datapath_uri
timeout-minutes: 30
continue-on-error: true
- name: setup_asset /cli/assets/data/local-folder.yml
if: ${{ always() }}
run: |
source "${{ github.workspace }}/infra/bootstrapping/sdk_helpers.sh";
source "${{ github.workspace }}/infra/bootstrapping/init_environment.sh";
set -x
az ml data create --subscription $SUBSCRIPTION_ID --resource-group $RESOURCE_GROUP_NAME --workspace $WORKSPACE_NAME -f ./local-folder.yml
working-directory: cli/assets/data
timeout-minutes: 300
continue-on-error: true
- name: setup_dataset
if: ${{ always() }}
run: |
source "${{ github.workspace }}/infra/bootstrapping/sdk_helpers.sh";
source "${{ github.workspace }}/infra/bootstrapping/init_environment.sh";
set -x
bash create-datasets.sh
working-directory: setup/setup-repo
timeout-minutes: 300
continue-on-error: true
- name: azcopy install
if: ${{ always() }}
run: |
echo "installing azcopy"
sudo mkdir -p /home/azcopy/
curl -L https://aka.ms/downloadazcopy-v10-linux | tar -zxf - --directory /home/azcopy/
sudo mv $(find /home/azcopy/ -type f -name azcopy) /usr/bin/
- name: azcopy sync
env:
AZURE_CREDENTIALS: ${{ secrets.AZURE_CREDENTIALS }}
run: |
# login to azcopy with AZURE_CREDENTIALS
export AZCOPY_SPA_CLIENT_SECRET=$(echo $AZURE_CREDENTIALS | jq '.clientSecret' -r)
export AZCOPY_SPA_APP_ID=$(echo $AZURE_CREDENTIALS | jq '.clientId' -r)
export AZCOPY_SPA_TENANT_ID=$(echo $AZURE_CREDENTIALS | jq '.tenantId' -r)
azcopy login --service-principal --application-id $AZCOPY_SPA_APP_ID --tenant-id $AZCOPY_SPA_TENANT_ID
source "${{ github.workspace }}/infra/bootstrapping/sdk_helpers.sh";
source "${{ github.workspace }}/infra/bootstrapping/init_environment.sh";
echo_title "Copying data"
# bash "$SCRIPT_DIR"/sdk_helpers.sh install_azcopy
bash "$SCRIPT_DIR"/sdk_helpers.sh copy_dataset
working-directory: infra/bootstrapping
continue-on-error: true