import {z} from 'zod'

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

export const getApiApiAiModelsImageGenerationResponse = z.object({data: z.array(z.object({name: z.string().optional(), label: z.string().optional(), tags: z.array(z.string()).optional(), creditsScope: z.literal("seedance").optional(), sizes: z.array(z.string()).optional(), qualities: z.array(z.enum(["auto", "high", "medium", "low"])).optional(), styles: z.array(z.string()).optional(), pricing: z.array(z.object({size: z.string().optional(), price: z.number().optional(), originPrice: z.number().optional()})).optional(), description: z.string().optional()})).optional(), code: z.number().int().optional(), message: z.string().optional(), requestId: z.string().optional(), timestamp: z.number().int().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
};

/**
 * 图像生成模型
 * 
 * GET /api/ai/models/image/generation
 */
export const getApiApiAiModelsImageGeneration = async (options?: GetApiApiAiModelsImageGenerationOptions) => {
const {baseUrl = "https://aitoearn.cn", fetch: fetchFn = fetch} = options ?? {}

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

const url = `${baseUrl.replace(/\/+$/, '')}/api/ai/models/image/generation${query.size > 0 ? `?${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(getApiApiAiModelsImageGenerationResponse, await res.json())
};