import {z} from 'zod' export type ModelConfigPartNumber = {vectorQuantizatonMethod?: number | undefined, lowercaseInput?: boolean | undefined}; export type PartNumberRequest = {batch: Array<{text: string}>, modelConfig?: ModelConfigPartNumber | undefined}; export type CreateApiAiPredictionPartNumberDetectionCUSTOMDEPLOYMENTIDArgs = {CUSTOM_DEPLOYMENT_ID: string, Authorization: string, body: PartNumberRequest}; export type CreateApiAiPredictionPartNumberDetectionCUSTOMDEPLOYMENTIDOptions = {baseUrl?: string | undefined, authToken?: string | undefined, fetch?: typeof fetch | undefined}; export const partNumberResponseTokens = z.object({response: z.string().optional(), labels: z.object({true: z.number().optional(), false: z.number().optional()}).optional(), tokensUsed: z.object({inputTokens: z.number().int().optional(), labelsTokens: z.number().int().optional()}).optional()}); export const partNumberResponse = z.object({predictions: z.array(partNumberResponseTokens).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 }; /** * Part Number Detection use case * * POST /ai/prediction/part-number-detection/{CUSTOM_DEPLOYMENT_ID} */ export const createApiAiPredictionPartNumberDetectionCUSTOMDEPLOYMENTID = async (args: CreateApiAiPredictionPartNumberDetectionCUSTOMDEPLOYMENTIDArgs, options?: CreateApiAiPredictionPartNumberDetectionCUSTOMDEPLOYMENTIDOptions) => { const {baseUrl = "https://commerce_studio_id.experiencemanager.lucidworks.com", fetch: fetchFn = fetch, authToken} = options ?? {} const query = new URLSearchParams() const headers = new Headers() headers.set('content-type', "application/json") headers.set('accept', "application/json") if (args.Authorization != null) headers.set("Authorization", String(args.Authorization)) if (authToken !== undefined) headers.set('authorization', `Bearer ${authToken}`) const url = `${baseUrl.replace(/\/+$/, '')}/ai/prediction/part-number-detection/${encodeURIComponent(String(args.CUSTOM_DEPLOYMENT_ID))}${query.size > 0 ? `?${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(partNumberResponse, await res.json()) };