import {z} from 'zod' export type CreateApiApiV1LanguagelabsLanguageDetectionArgs = {body: {query: string}}; export type CreateApiApiV1LanguagelabsLanguageDetectionOptions = {baseUrl: string, KCustomerID?: string | undefined, fetch?: typeof fetch | undefined}; export const createApiApiV1LanguagelabsLanguageDetectionResponse = z.object({status: z.string().optional(), data: z.array(z.object({label: z.string().optional(), value: z.string().optional()})).optional()}); export const validateResponse = async ( schema: { readonly '~standard': { readonly validate: (value: unknown) => ({ readonly value: Output; readonly issues?: undefined } | { readonly issues: ReadonlyArray<{ readonly message: string; readonly path?: ReadonlyArray | undefined }> }) | Promise<{ readonly value: Output; readonly issues?: undefined } | { readonly issues: ReadonlyArray<{ readonly message: string; readonly path?: ReadonlyArray | undefined }> }> } }, value: unknown ): Promise => { const result = await schema['~standard'].validate(value) if (result.issues !== undefined) { const detail = result.issues .map(({ message, path }) => path?.length ? `${path.map((segment) => String(typeof segment === 'object' ? segment.key : segment)).join('.')}: ${message}` : message ) .join('; ') throw new Error(`Response does not match the schema: ${detail}`, { cause: { issues: result.issues } }) } return result.value }; /** * Detect language(s) in text * * POST /api/v1/languagelabs/language-detection * * Also accepts auth: Authorization */ export const createApiApiV1LanguagelabsLanguageDetection = async (args: CreateApiApiV1LanguagelabsLanguageDetectionArgs, options: CreateApiApiV1LanguagelabsLanguageDetectionOptions) => { const {baseUrl, fetch: fetchFn = fetch, KCustomerID} = options ?? {} const query = new URLSearchParams() const headers = new Headers() headers.set('content-type', "application/json") headers.set('accept', "application/json") if (KCustomerID !== undefined) headers.set("K-Customer-ID", KCustomerID) const url = `${baseUrl.replace(/\/+$/, '')}/api/v1/languagelabs/language-detection${query.size > 0 ? `?${query}` : ''}` const res = await fetchFn(url, {method: "POST", headers, body: JSON.stringify(args.body)}) if (!res.ok) throw new Error(`Request failed with status ${res.status}`, {cause: {status: res.status, body: await res.text()}}) return validateResponse(createApiApiV1LanguagelabsLanguageDetectionResponse, await res.json()) };