Step 1: Provision an Azure AI Translator resource
Theha mohloli oa Azure AI Translator ho portal ea Azure, ebe u boloka tse latelang e le liphiri tsa polokelo ea GitHub e le hore ts'ebetso e ka li bala:
-
TRANSLATOR_KEY— Senotlolo sa ho ngolisa bakeng sa sesebelisoa. -
TRANSLATOR_ENDPOINT— URL ea sebaka sa ho qetela -
TRANSLATOR_REGION— Sebaka sa Azure sa Resource.
Step 2: Eketsa ts'ebetso ea ts'ebetso
Theha .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: Etsa file ea mohloli oa mohloli
Lifaele tsa lisebelisoa li sebelisa kopano ea Name.<sourceLocale>.<ext>. Ka mohlala, Greetings.en.resx ba Greetings.fr.resx, Greetings.de.resx, joalo-joalo kamora ho matha.
Step 4: Hlahloba tlhahiso
Hang ha ts'ebetso e felile, ketso e pepesa liphetho tse tharo tseo u ka li hokahanyang le tlhaloso ea PR: summary-title, summary-details le has-new-translations. E boetse e ngola kakaretso ea Markdown leqepheng la mosebetsi ka core.summary.