import {z} from 'zod'

export type GptImage2Request = {type: 'text-to-image', prompt: string, resolution: '1K' | '2K' | '4K', aspect_ratio: 'auto' | '1:1' | '5:4' | '9:16' | '21:9' | '16:9' | '4:3' | '3:2' | '4:5' | '3:4' | '2:3' | '2:1' | '1:2' | '3:1' | '1:3' | '9:21', channel?: ('standard' | 'economy') | undefined, batch_count?: number | undefined} | {type: 'image-to-image', prompt: string, image_urls: Array<string>, resolution: '1K' | '2K' | '4K', aspect_ratio: 'auto' | '1:1' | '5:4' | '9:16' | '21:9' | '16:9' | '4:3' | '3:2' | '4:5' | '3:4' | '2:3' | '2:1' | '1:2' | '3:1' | '1:3' | '9:21', channel?: ('standard' | 'economy') | undefined, batch_count?: number | undefined};

export type CreateApiApiV1ImageGptImage2Args = {'Idempotency-Key'?: string | undefined, body: GptImage2Request};

export type CreateApiApiV1ImageGptImage2Options = {baseUrl?: string | undefined, bearerAuth?: string | undefined, fetch?: typeof fetch | undefined};

export const createApiApiV1ImageGptImage2Response = z.object({id: z.string(), status: z.enum(["processing", "completed"]), model: z.literal("gpt-image-2"), credits_used: z.number().optional(), remaining_credits: 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
};

/**
 * Generate images with GPT Image 2
 * 
 * POST /api/v1/image/gpt-image-2
 */
export const createApiApiV1ImageGptImage2 = async (args: CreateApiApiV1ImageGptImage2Args, options?: CreateApiApiV1ImageGptImage2Options) => {
const {baseUrl = "https://www.seedance2ai.io", fetch: fetchFn = fetch, bearerAuth} = options ?? {}

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

if (args['Idempotency-Key'] != null) headers.set("Idempotency-Key", String(args['Idempotency-Key']))
if (bearerAuth !== undefined) headers.set('authorization', `Bearer ${bearerAuth}`)

const url = `${baseUrl.replace(/\/+$/, '')}/api/v1/image/gpt-image-2${query.size > 0 ? `?${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(createApiApiV1ImageGptImage2Response, await res.json())
};