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Add a deprecation note #70

Add a deprecation note

Add a deprecation note #70

Workflow file for this run

name: staging
on:
pull_request:
branches:
- main
jobs:
run-staging-workflow:
runs-on: ubuntu-latest
env:
AWS_ACCESS_KEY_ID: ${{ secrets.AWS_ACCESS_KEY_ID }}
AWS_SECRET_ACCESS_KEY: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
GCP_CREDENTIALS: ${{ secrets.GCP_CREDENTIALS }}
ZENML_USERNAME: ${{ secrets.ZENML_USERNAME }}
ZENML_PASSWORD: ${{ secrets.ZENML_PASSWORD }}
ZENML_HOST: ${{ secrets.ZENML_HOST }}
ZENML_DEBUG: true
ZENML_ANALYTICS_OPT_IN: false
ZENML_LOGGING_VERBOSITY: INFO
steps:
- name: Check out repository code
uses: actions/checkout@v3
- id: 'auth'
uses: 'google-github-actions/auth@v1'
with:
credentials_json: '${{ secrets.GCP_CREDENTIALS }}'
- name: 'Set up Cloud SDK'
uses: 'google-github-actions/setup-gcloud@v1'
- id: install-kubectl
uses: azure/setup-kubectl@v3
- name: Authenticate docker
run: |
gcloud auth configure-docker --project zenml-demos
- uses: actions/setup-python@v4
with:
python-version: '3.9'
- uses: syphar/restore-virtualenv@v1
id: cache-virtualenv
with:
requirement_files: 'requirements-gcp.txt'
- uses: syphar/restore-pip-download-cache@v1
if: steps.cache-virtualenv.outputs.cache-hit != 'true'
with:
requirement_files: 'requirements-gcp.txt'
- name: Install requirements
if: steps.cache-virtualenv.outputs.cache-hit != 'true'
run: |
pip install -r requirements-gcp.txt
- name: Install wkhtmltopdf
run: sudo apt-get install wkhtmltopdf
- name: Connect to ZenML server
run: |
zenml connect --no-verify-ssl --url $ZENML_HOST --username $ZENML_USERNAME --password $ZENML_PASSWORD
- name: Set stack
run: |
zenml stack set gcp_gitflow_stack
- name: Run pipeline
run: |
python run.py \
--pipeline train \
--requirements requirements-gcp.txt \
--dataset staging
- name: Read training report
id: report
uses: juliangruber/read-file-action@v1
with:
path: ./model_train_results.md
- name: PR comment with training report
uses: thollander/actions-comment-pull-request@v2
with:
filePath: ./model_train_results.md
comment_tag: training_report
mode: recreate
create_if_not_exists: true