import {z} from 'zod'

export type GetApiMidjourneyImageEditsFetchArgs = {jobId: string};

export type GetApiMidjourneyImageEditsFetchOptions = {baseUrl?: string | undefined, CustomApiKey?: string | undefined, fetch?: typeof fetch | undefined};

export const getApiMidjourneyImageEditsFetchResponse = z.object({status: z.enum(["PENDING_QUEUE", "ON_QUEUE", "SUCCESS", "FAILED"]), message: z.string(), jobId: z.string(), data: z.object({jobId: z.string().optional(), progress: z.string().optional(), mode: z.string().optional(), prompt: z.string().optional(), quota: z.string().optional(), images: z.string().optional(), cdnImages: z.string().optional(), hookUrl: z.string().optional(), submitTime: z.string().optional(), finishTime: z.string().optional()}).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
};

/**
 * Query image editing task result, **this endpoint does not consume quota, free to use**
 * 
 * GET /midjourney/image-edits/fetch
 */
export const getApiMidjourneyImageEditsFetch = async (args: GetApiMidjourneyImageEditsFetchArgs, options?: GetApiMidjourneyImageEditsFetchOptions) => {
const {baseUrl = "https://api.ttapi.io", fetch: fetchFn = fetch, CustomApiKey} = options ?? {}

const query = new URLSearchParams()
const headers = new Headers()
headers.set('accept', "application/json")

if (args.jobId != null) query.append("jobId", String(args.jobId))
if (CustomApiKey !== undefined) headers.set("TT-API-KEY", CustomApiKey)

const url = `${baseUrl.replace(/\/+$/, '')}/midjourney/image-edits/fetch${query.size > 0 ? `?${query}` : ''}`

const res = await fetchFn(url, {method: "GET", headers})

if (!res.ok) throw new Error(`Request failed with status ${res.status}`, {cause: {status: res.status, body: await res.text()}})

return validateResponse(getApiMidjourneyImageEditsFetchResponse, await res.json())
};