import {z} from 'zod' export type AiRequestLogExportForm = {format?: 'csv' | undefined, requestId?: string | undefined, projectId?: number | undefined, userId?: number | undefined, aiProviderId?: number | undefined, model?: string | undefined, sourceAction?: ('ai_proxy' | 'ai_gateway' | 'ai_translate_strings' | 'ai_file_translate' | 'ai_prompt_completion' | 'pre_translate:manual' | 'pre_translate:workflow' | 'ai_alignment' | 'qa_check' | 'ai_suggestion' | 'advisor') | undefined, promptAction?: string | undefined, statuses?: (Array<'pending' | 'success' | 'error' | 'timeout'>) | undefined, tokenName?: string | undefined, oauthClientId?: string | undefined, systemCredentials?: boolean | undefined, isAutoTriggered?: boolean | undefined, createdAfter?: string | undefined, createdBefore?: string | undefined}; export type CreateApiAiRequestLogsExportsArgs = {body: AiRequestLogExportForm}; export type CreateApiAiRequestLogsExportsOptions = {baseUrl?: string | undefined, fetch?: typeof fetch | undefined}; export const aiRequestLogExport = z.object({identifier: z.string().optional(), status: z.enum(["created", "in_progress", "canceled", "failed", "finished"]).optional(), progress: z.number().int().optional(), attributes: z.object({format: z.literal("csv").optional(), filters: z.object({}).optional()}).optional(), createdAt: z.string().optional(), updatedAt: z.string().optional(), startedAt: z.string().nullable().optional(), finishedAt: z.string().nullable().optional(), eta: z.string().nullable().optional()}); export const aiRequestLogExportResource = z.object({data: aiRequestLogExport}); 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: ${detail}`, { cause: { issues: result.issues } }) } return result.value }; /** * Export AI Request Logs * * POST /ai/request-logs/exports */ export const createApiAiRequestLogsExports = async (args: CreateApiAiRequestLogsExportsArgs, options?: CreateApiAiRequestLogsExportsOptions) => { const {baseUrl = "https://api.crowdin.com/api/v2", fetch: fetchFn = fetch} = options ?? {} const query = new URLSearchParams() const headers = new Headers() headers.set('content-type', "application/json") headers.set('accept', "application/json") const url = `${baseUrl.replace(/\/+$/, '')}/ai/request-logs/exports${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(aiRequestLogExportResource, await res.json()) };