Step 1: Provision an Azure AI Translator resource
Gadzira Azure AI Muturikiri sosi muAzure portal, wobva wachengeta zvinotevera seGitHub repository zvakavanzika kuitira kuti kufamba kwebasa kugone kuzviverenga:
-
TRANSLATOR_KEY— Kiyi yekunyoresa yekushandisa chishandiso. -
TRANSLATOR_ENDPOINT— Mhedzisiro yenharaunda URL -
TRANSLATOR_REGION— Nzvimbo yeAzure yeAzure.
Step 2: Wedzera Workflow
Gadzira .github/workflows/translate.yml:
name: translate
on: push: branches: [main] paths: - "src/**/*.en.resx" - "src/**/*.en.json"
permissions: contents: write pull-requests: write
jobs: translate: runs-on: ubuntu-latest steps: - uses: actions/checkout@v5 - id: translate uses: IEvangelist/resource-translator@v3 with: sourceLocale: en subscriptionKey: ${{ secrets.TRANSLATOR_KEY }} endpoint: ${{ secrets.TRANSLATOR_ENDPOINT }} region: ${{ secrets.TRANSLATOR_REGION }} toLocales: '["fr","de","es"]' - if: steps.translate.outputs.has-new-translations == 'true' uses: peter-evans/create-pull-request@v7 with: title: ${{ steps.translate.outputs.summary-title }} body: ${{ steps.translate.outputs.summary-details }} branch: machine-translationStep 3: Ita Source Resource File
Zvishandiso zvekushandisa zvinoshandisa Name.<sourceLocale>.<ext> convention. Somuenzaniso, Greetings.en.resx inova Greetings.fr.resx, Greetings.de.resx, zvichingodaro mushure mekumhanya.
Step 4: Ongorora zvakabuda
Kana kufamba kwebasa kwapera, chiito chinofumura zvinhu zvitatu zvaunogona kubatanidza mune PR tsananguro: summary-title, summary-details, uye has-new-translations. Iyo zvakare inonyora pfupiso yeMarkdown mune peji rebasa kuburikidza core.summary.