import {z} from 'zod'

export type ModelPayloadLorasStable = {name: string, model?: number | undefined, clip?: number | undefined, inject_trigger?: string | undefined, is_version?: boolean | undefined};

export type ModelPayloadTextualInversionsStable = {name: string, inject_ti?: ('prompt' | 'negprompt') | undefined, strength?: number | undefined};

export type ModelSpecialPayloadStable = {'*'?: {[key: string]: Record<string, never>} | undefined};

export type ModelGenerationInputStable = {sampler_name?: ('k_euler' | 'lcm' | 'k_euler_a' | 'k_dpmpp_2s_a' | 'DDIM' | 'dpmsolver' | 'k_lms' | 'k_dpm_fast' | 'k_dpmpp_sde' | 'k_dpm_2' | 'k_dpm_2_a' | 'k_dpm_adaptive' | 'k_heun' | 'k_dpmpp_2m') | undefined, cfg_scale?: number | undefined, denoising_strength?: number | undefined, seed?: string | undefined, height?: number | undefined, width?: number | undefined, seed_variation?: number | undefined, post_processing?: (Array<'GFPGAN' | 'RealESRGAN_x4plus' | 'RealESRGAN_x2plus' | 'RealESRGAN_x4plus_anime_6B' | 'NMKD_Siax' | '4x_AnimeSharp' | 'CodeFormers' | 'strip_background'>) | undefined, karras?: boolean | undefined, tiling?: boolean | undefined, hires_fix?: boolean | undefined, clip_skip?: number | undefined, control_type?: ('canny' | 'hed' | 'depth' | 'normal' | 'openpose' | 'seg' | 'scribble' | 'fakescribbles' | 'hough') | undefined, image_is_control?: boolean | undefined, return_control_map?: boolean | undefined, facefixer_strength?: number | undefined, loras?: Array<ModelPayloadLorasStable> | undefined, tis?: Array<ModelPayloadTextualInversionsStable> | undefined, special?: ModelSpecialPayloadStable | undefined, steps?: number | undefined, n?: number | undefined};

export type ExtraSourceImage = {image?: string | undefined, strength?: number | undefined};

export type GenerationInputStable = {prompt: string, params?: ModelGenerationInputStable | undefined, nsfw?: boolean | undefined, trusted_workers?: boolean | undefined, slow_workers?: boolean | undefined, censor_nsfw?: boolean | undefined, workers?: Array<string> | undefined, worker_blacklist?: boolean | undefined, models?: Array<string> | undefined, source_image?: string | undefined, source_processing?: ('img2img' | 'inpainting' | 'outpainting' | 'remix') | undefined, source_mask?: string | undefined, extra_source_images?: Array<ExtraSourceImage> | undefined, r2?: boolean | undefined, shared?: boolean | undefined, replacement_filter?: boolean | undefined, dry_run?: boolean | undefined, proxied_account?: string | undefined, disable_batching?: boolean | undefined, allow_downgrade?: boolean | undefined, webhook?: string | undefined};

export type CreateApiV2GenerateAsyncArgs = {apikey: string, 'Client-Agent'?: string | undefined, 'X-Fields'?: unknown | undefined, body: GenerationInputStable};

export type CreateApiV2GenerateAsyncOptions = {baseUrl: string, fetch?: typeof fetch | undefined};

export const requestSingleWarning = z.object({code: z.enum(["NoAvailableWorker", "ClipSkipMismatch", "StepsTooFew", "StepsTooMany", "CfgScaleMismatch", "CfgScaleTooSmall", "CfgScaleTooLarge", "SamplerMismatch", "SchedulerMismatch"]).optional(), message: z.string().min(1).optional()});

export const requestAsync = z.object({id: z.string().optional(), kudos: z.number().optional(), message: z.string().optional(), warnings: z.array(requestSingleWarning).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
};

/**
 * Initiate an Asynchronous request to generate images
 * 
 * POST /v2/generate/async
 */
export const createApiV2GenerateAsync = async (args: CreateApiV2GenerateAsyncArgs, options: CreateApiV2GenerateAsyncOptions) => {
const {baseUrl, fetch: fetchFn = fetch} = options ?? {}

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

if (args.apikey != null) headers.set("apikey", String(args.apikey))
if (args['Client-Agent'] != null) headers.set("Client-Agent", String(args['Client-Agent']))
if (args['X-Fields'] != null) headers.set("X-Fields", String(args['X-Fields']))

const url = `${baseUrl.replace(/\/+$/, '')}/v2/generate/async${query.size > 0 ? `?${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(requestAsync, await res.json())
};