Machine Learning 的 CI/CD
Ravi Bhadauria
Machine Learning Engineer
${{ context.XXX }} 存取情境github:工作流程執行的資訊env:在工作流程中設定的變數secrets:提供給工作流程的名稱與值job:目前作業的資訊runner:機器的資訊env 鍵的值env 情境以 ${{ env.ENV_VAR }} 存取name: Greeting on variable day # Global env env: Greeting: Hellojobs: greeting_job: runs-on: ubuntu-latest # Local env: scoped to greeting_job env: First_Name: Ravisteps: - run: | echo "${{ env.Greeting }} \ ${{ env.First_Name }}."
secrets 情境存取值${{ secrets.SuperSecret }}steps: - name: Hello world action env: # Set the secret as an env var super_secret: ${{ secrets.SuperSecret }}with: # Or as an input super_secret: ${{ secrets.SuperSecret }}
列印 secret
steps:
- name: Print secret
run: |
echo "my secret is \
${{ secrets.SuperSecret }}"
輸出




${{ secrets.GITHUB_TOKEN }} 存取permissions:
pull-requests: write
permissions:
pull-requests: write
steps:
- name: Comment PR
uses: thollander/actions-comment-pull-request@v2
with:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
message: |
Hello world ! :wave:

Machine Learning 的 CI/CD