Step 1: Provision an Azure AI Translator resource
Tauyavutaka e dua na ivurevure ni Azure AI Translator ena Azure portal, qai maroroya na veika oqo me vaka na veika vuni ni repository ni GitHub me rawa ni wilika na cakacaka:
-
TRANSLATOR_KEY— na idola ni sausaumi me baleta na ivurevure. -
TRANSLATOR_ENDPOINT— na URL ni icavacava ni iwasewase. -
TRANSLATOR_REGION— na iwasewase ni Azure ni ivurevure.
Step 2: Kuria na cakacaka ni cakacaka
Bulia na .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: Vakadeitaka e dua na faile ni ivurevure ni ivurevure
Na faili ni ivurevure e vakayagataka na Name.<sourceLocale>.<ext> convention. Kena ivakaraitaki Greetings.en.resx yaco me Greetings.fr.resx, Greetings.de.resx, kei na so tale ni oti e dua na cici.
Step 4: Dikeva na output
Ni sa oti na cakacaka, na cakacaka e vakaraitaka e tolu na outputs e rawa ni o vakauqeta ki na dua na ivakamacala ni PR: summary-title, summary-details, kei na has-new-translations. E vola talega e dua na ivakaleka ni Markdown ki na tabana ni cakacaka ena core.summary.