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Usage

Hermes provides utility functions that help automate the machine translation workflow. It doesn't perform any extraction for strings to be translated, handle resolving human & machine translations, nor logic for when files should be committed.

const trSync = require("@runeai/hermes")

;(async function() {
  await trSync({
    "languageData": {
      "15": { "iso6391code": "zh", "crowdinLocaleCode": "zh-CN" },
      "17": { "iso6391code": "es", "crowdinLocaleCode": "es-ES" },
      "22": { "iso6391code": "ru", "crowdinLocaleCode": "ru" },
    },
    "filePaths": ["translations/en/messages.po"],
    "crowdinInfo": {
      "projectName": "superawesomeproject",
      "apiKey": "xxxxxxxxx"
    },
    "processables": [
      { "phrase": "Friend Boost", "processor": "lowercase" },
      { "phrase": "Quick Match", "processor": "lowercase" }
    ]
  })
})()

How it works

  1. The function will first create a copy of the provided file paths. This is the source of truth to help ensure integrity of original strings after the processing step.
  2. If processables are provided, the function will match the phrase in any locale files and process it by one of the predetermined processors (see list below).
  3. Update the source file in Crowdin, so any strings added/modified will be there ready to be translated.
  4. Next, it'll machine translate the files using Google translate into the specified locales in the languageData payload when invoked.
  5. When translations are done, the function will download all files into their respective locale folder, based on the language's ISO 639-1 code.
  6. Finally, it'll replace all message strings to the original and clean up any of the copies made in the first step.

Existing list of processors

lowercase - lowercases the entire string ...more to come!

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Automating machine translations via Crowdin

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