import {z} from 'zod'

export type GptgenerationsRequest = {model?: ('gpt-image-1.5' | 'gpt-image-2' | 'gpt-image-2-plus') | undefined, prompt: string, referImages?: Array<string> | undefined, aspect_ratio?: ('1:1' | '3:4' | '4:3' | '16:9' | '9:16') | undefined, size?: string | undefined, hookUrl?: string | undefined};

export type CreateApiOpenaiGptGenerationsArgs = {body: GptgenerationsRequest};

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

export const createApiOpenaiGptGenerationsResponse = z.object({status: z.string(), message: z.string(), data: z.object({})});

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 based on text prompts and image resources
 * 
 * POST /openai/gpt/generations
 */
export const createApiOpenaiGptGenerations = async (args: CreateApiOpenaiGptGenerationsArgs, options?: CreateApiOpenaiGptGenerationsOptions) => {
const {baseUrl = "https://api.ttapi.io", fetch: fetchFn = fetch, CustomApiKey} = options ?? {}

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

if (CustomApiKey !== undefined) headers.set("TT-API-KEY", CustomApiKey)

const url = `${baseUrl.replace(/\/+$/, '')}/openai/gpt/generations${query.size > 0 ? `?${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(createApiOpenaiGptGenerationsResponse, await res.json())
};