Refactor update train-deploy project #14
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name: Staging Trigger Train and Deploy Pipeline | |
on: | |
pull_request: | |
types: [opened, synchronize] | |
branches: [staging, main] | |
paths: | |
- 'train_and_deploy/**' | |
concurrency: | |
group: ${{ github.workflow }}-${{ github.ref }} | |
cancel-in-progress: true | |
jobs: | |
run-staging-workflow: | |
runs-on: ubuntu-latest | |
env: | |
ZENML_STORE_URL: ${{ secrets.ZENML_PROJECTS_HOST }} | |
ZENML_STORE_API_KEY: ${{ secrets.ZENML_PROJECTS_API_KEY }} | |
ZENML_STAGING_STACK : ef6c474d-b6e7-49a7-a046-0dab39f7969a # Set this to your staging stack ID | |
ZENML_GITHUB_SHA: ${{ github.event.pull_request.head.sha }} | |
ZENML_GITHUB_URL_PR: ${{ github.event.pull_request._links.html.href }} | |
ZENML_DEBUG: true | |
ZENML_ANALYTICS_OPT_IN: false | |
ZENML_LOGGING_VERBOSITY: INFO | |
ZENML_DISABLE_CLIENT_SERVER_MISMATCH_WARNING: True | |
steps: | |
- name: Check out repository code | |
uses: actions/checkout@v3 | |
- uses: actions/setup-python@v4 | |
with: | |
python-version: '3.11' | |
- name: Install requirements | |
working-directory: ./train_and_deploy | |
run: | | |
pip3 install -r requirements.txt | |
zenml integration install bentoml skypilot_kubernetes s3 aws evidently --uv -y | |
- name: Connect to ZenML server | |
working-directory: ./train_and_deploy | |
run: | | |
zenml init | |
- name: Set stack (Staging) | |
working-directory: ./train_and_deploy | |
run: | | |
zenml stack set ${{ env.ZENML_STAGING_STACK }} | |
- name: Run pipeline (Staging) | |
working-directory: ./train_and_deploy | |
run: | | |
python run.py --training |