Configuration Reference
Main configuration
Section titled “Main configuration”wuchale can be configured using wuchale.config.js at the root of your
project. TypeScript or other formats for configuration are not supported. An
example configuration looks like:
// @ts-checkimport { defineConfig } from "wuchale"import { adapter as svelte } from "@wuchale/svelte"
export default defineConfig({ sourceLocale: 'en', // default otherLocales: ['es', 'fr'], adapters: { main: svelte({ catalog: './src/locales/{locale}', }), }})The above configuration shows how to configure wuchale with the Svelte
adapter. The adapter accepts a configuration object as an argument. The
configuration for each adapter is discussed in the adapter’s documentation. The
main configuration is discussed here.
sourceLocale
Section titled “sourceLocale”type: string
default: en
The key of the source languages from the locales config. This is the language
you use in the source code and will not need to be translated. In most cases
this will be English.
otherLocales
Section titled “otherLocales”type: string[]
The locales to translate to. They must be valid BCP 47
tags. For example, en,
en-US, eng, zh-Hans are valid, but en_US, cn-simplified are invalid.
The validation is done using
Intl.DisplayNames.
adapters
Section titled “adapters”type: Record<string, Adapter>
default: {}
Adapters are what handle the project specific operations like extracting the messages from the code and transforming it. They have to be provided with their own keys. The keys are how you can separate different parts of the project into smaller pieces and refer to them. The key also has to be a valid keyword like locale keys.
type: boolean
default: true
Enable HMR updates during development. You can disable this to avoid the small overhead of live translation updates and work solely with the source language. HMR is highly optimized: it updates only the affected components, preserving application state and avoiding full reloads.
type: AI
default: gemini()
type AI = { name: string batchSize: number translate: (messages: string, instruction: string) => Promise<string> parallel: number}Here you can give your own AI interface for live translation. The batchSize
decides the maximum messages to translate in a single request, over which
another request will be used. And parallel decides the number of requests to
make in parallel.
The translate function receives the messages in a stringified PO format with
empty places for the translated messages, along with the instruction that
explains what to do like from which language to which language, the expected
format, etc. And the expected format is the same PO format, but with filled
translations, just like a human translator.
The default is gemini() which you can import and provide options to customize
like ai: gemini({...}). The options should conform to the following type:
type GeminiOpts = { apiKey?: string batchSize?: number think?: boolean parallel?: number}You can provide your API key here in apiKey directly, or use the special
value env (default) to use the GEMINI_API_KEY environment variable. If the
environment variable is not set, Gemini will not be used, as if it was
disabled. It can also be always disabled by setting this to null, in which
case the environment variable will not be used even if it is set.
logLevel
Section titled “logLevel”type: 'error' | 'warn' | 'info' | 'verbose'
default: info
You can set the log level above which messages will be shown in the console. If
you set it to verbose, all messages will be shown. verbose enables showing
all extracted messages.