production_run_complete_llm.yml

name: Production LLM-COMPLETE
on:
  push:
    branches:
      - main
    paths:
      - 'llm-complete-guide/**'
concurrency:
  # New commit on branch cancels running workflows of the same branch
  group: ${{ github.workflow }}-${{ github.ref }}
  cancel-in-progress: true

jobs:
  run-production-workflow:
    runs-on: ubuntu-latest
    env:
      ZENML_STORE_URL: ${{ secrets.ZENML_PROJECTS_HOST }}
      ZENML_STORE_API_KEY: ${{ secrets.ZENML_PROJECTS_API_KEY }}
      ZENML_PRODUCTION_STACK: b3951d43-0fb2-4d32-89c5-3399374e7c7e # Set this to your production 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_PROJECT_SECRET_NAME: llm-complete
      ZENML_DISABLE_CLIENT_SERVER_MISMATCH_WARNING: True
      ZENML_EVENT_SOURCE_ID: ae6ae536-d811-4838-a44b-744b768a0f31  # Set this to your preferred event source ID
      ZENML_SERVICE_ACCOUNT_ID: fef76af2-382f-4ab2-9e6b-5eb85a303f0e  # Set this to your service account ID or delete

    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: ./llm-complete-guide
        run: |
          pip3 install uv
          uv pip install -r requirements.txt --system
          uv pip install -r requirements-argilla.txt --system
          zenml integration install gcp -y --uv

      - name: Connect to ZenML server
        working-directory: ./llm-complete-guide
        run: |
          zenml init
          zenml connect --url $ZENML_STORE_URL --api-key $ZENML_STORE_API_KEY

      - name: Set stack (Production)
        working-directory: ./llm-complete-guide
        run: |
          zenml stack set ${{ env.ZENML_PRODUCTION_STACK }}

      - name: Run pipeline, create pipeline, configure trigger (Production)
        working-directory: ./llm-complete-guide
        run: |
          python gh_action_rag.py --no-cache --create-template --event-source-id ${{ env.ZENML_EVENT_SOURCE_ID }} --service-account-id ${{ env.ZENML_SERVICE_ACCOUNT_ID }} --config production/rag.yaml --zenml-model-version production