import {z} from 'zod' export type PublicTranslateTargetsDto = {languages: Array, sample_rate: number}; export type PublicCountryLanguagePairDto = {country: string, language: string}; export type PublicLocalizeTargetsDto = {pairs: Array, sample_rate: number}; export type PublicLanguageExpansionSpecDto = {type: 'translate' | 'localize', languages?: Array | undefined, pairs?: Array | undefined, sample_rate: number}; export type CreateInventedDatasetDto = {name?: string | undefined, training_type?: ('instruction_dataset' | 'preference_pairs') | undefined, domains?: Array | undefined, subdomains?: Array | undefined, rows: number, translate?: PublicTranslateTargetsDto | undefined, localize?: PublicLocalizeTargetsDto | undefined, language_expansion?: (PublicLanguageExpansionSpecDto | null) | undefined, dataset_prompt?: string | undefined, prompt?: string | undefined, estimate?: boolean | undefined, idempotency_key?: string | undefined}; export type CreateApiApiV1DatasetsInventArgs = {body: CreateInventedDatasetDto}; export type CreateApiApiV1DatasetsInventOptions = {baseUrl: string, bearer?: string | undefined, fetch?: typeof fetch | undefined}; export const publicInventedDatasetDto = z.object({estimate: z.boolean(), id: z.string().nullable(), name: z.string(), training_type: z.enum(["instruction_dataset", "preference_pairs"]), domains: z.array(z.string()), subdomains: z.array(z.string()), rows: z.number().int().nullable(), status: z.enum(["pending", "running", "awaiting_input", "succeeded", "failed"]).nullable(), created_at: z.string().nullable(), estimated_credits: z.number(), available_credits: z.number()}); 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 }; /** * Generate a dataset from scratch * * POST /api/v1/datasets/invent */ export const createApiApiV1DatasetsInvent = async (args: CreateApiApiV1DatasetsInventArgs, options: CreateApiApiV1DatasetsInventOptions) => { const {baseUrl, fetch: fetchFn = fetch, bearer} = options ?? {} const query = new URLSearchParams() const headers = new Headers() headers.set('content-type', "application/json") headers.set('accept', "application/json") if (bearer !== undefined) headers.set('authorization', `Bearer ${bearer}`) const url = `${baseUrl.replace(/\/+$/, '')}/api/v1/datasets/invent${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(publicInventedDatasetDto, await res.json()) };