import {z} from 'zod'

export type LoRA = {url: string, scale: number};

export type ResponseExtension = 'webp' | 'jpg' | 'png';

export type AppRepositoryModelsResponseFormat = 'b64_json' | 'url';

export type CommonImageGenerationRequest = {model: string, loras?: (Array<LoRA> | null) | undefined, prompt: string, width?: number | undefined, height?: number | undefined, num_inference_steps?: (number | null) | undefined, seed?: number | undefined, guidance_scale?: (number | null) | undefined, negative_prompt?: string | undefined, response_extension?: ResponseExtension | undefined, response_format?: AppRepositoryModelsResponseFormat | undefined};

export type CreateApiV1ImagesGenerationsArgs = {ai_project_id?: (string | null) | undefined, body: CommonImageGenerationRequest};

export type CreateApiV1ImagesGenerationsOptions = {baseUrl?: string | undefined, HTTPBearer?: string | undefined, fetch?: typeof fetch | undefined};

export const imageObject = z.object({b64_json: z.string().nullable().optional(), url: z.string().nullable().optional()});

export const imageGenerationResponse = z.object({data: z.array(imageObject), id: z.string()});

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
 * 
 * POST /v1/images/generations
 */
export const createApiV1ImagesGenerations = async (args: CreateApiV1ImagesGenerationsArgs, options?: CreateApiV1ImagesGenerationsOptions) => {
const {baseUrl = "https://api.tokenfactory.nebius.com", fetch: fetchFn = fetch, HTTPBearer} = options ?? {}

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

if (args.ai_project_id != null) query.append("ai_project_id", String(args.ai_project_id))
if (HTTPBearer !== undefined) headers.set('authorization', `Bearer ${HTTPBearer}`)

const url = `${baseUrl.replace(/\/+$/, '')}/v1/images/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(imageGenerationResponse, await res.json())
};