import {z} from 'zod'

export type LaunchPreprocessingBodyDto = {pages_to_process?: number | undefined, documents_to_process?: number | undefined, preprocessing_mode?: ('per_document' | 'per_page') | undefined};

export type CreateApiApiV1DatasetsDatasetIdLaunchPreprocessingArgs = {dataset_id: string, body: LaunchPreprocessingBodyDto};

export type CreateApiApiV1DatasetsDatasetIdLaunchPreprocessingOptions = {baseUrl: string, bearer?: string | undefined, fetch?: typeof fetch | undefined};

export const launchPreprocessingResponseDto = z.object({dataset_id: z.string(), status: z.string(), credits_escrowed: z.number().optional(), pages_to_process: z.number().optional(), documents_selected: z.number().optional(), documents_total: z.number().optional()});

export const validateResponse = async <Output>(
  schema: {
    readonly '~standard': {
      readonly validate: (value: unknown) => ({ readonly value: Output; readonly issues?: undefined } | { readonly issues: ReadonlyArray<{ readonly message: string; readonly path?: ReadonlyArray<PropertyKey | { readonly key: PropertyKey }> | undefined }> }) | Promise<{ readonly value: Output; readonly issues?: undefined } | { readonly issues: ReadonlyArray<{ readonly message: string; readonly path?: ReadonlyArray<PropertyKey | { readonly key: PropertyKey }> | undefined }> }>
    }
  },
  value: unknown
): Promise<Output> => {
  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
};

/**
 * Launch document preprocessing
 * 
 * POST /api/v1/datasets/{dataset_id}/launch-preprocessing
 */
export const createApiApiV1DatasetsDatasetIdLaunchPreprocessing = async (args: CreateApiApiV1DatasetsDatasetIdLaunchPreprocessingArgs, options: CreateApiApiV1DatasetsDatasetIdLaunchPreprocessingOptions) => {
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/${encodeURIComponent(String(args.dataset_id))}/launch-preprocessing${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(launchPreprocessingResponseDto, await res.json())
};