import {z} from 'zod'

export type ADetailerDetector = 'face_yolov8n' | 'hand_yolov8n' | 'face_full_mediapipe' | 'face_short_mediapipe' | 'face_mesh_mediapipe' | 'eyes_mesh_mediapipe' | 'face_hair_mediapipe';

export type ImageEncoding = 'jpeg' | 'png';

export type ADetailerInpaintingBaseModel = 'sdxl' | 'sd15';

export type Scheduler = 'PNDM' | 'LMS' | 'KLMS' | 'DDIM' | 'DDPM' | 'HEUN' | 'K_HEUN' | 'K_EULER' | 'K_EULER_ANCESTRAL' | 'DPM_SOLVER_MULTISTEP' | 'DPM_PLUS_PLUS_2M_KARRAS' | 'DPM_SINGLE' | 'DPM_2' | 'DPM_2_ANCESTRAL' | 'DPM_PLUS_PLUS_SDE_KARRAS' | 'UNI_PC' | 'LCM';

export type ADetailerRequest = {cfg_scale?: number | undefined, checkpoint?: (string | null) | undefined, confidence?: number | undefined, detector: ADetailerDetector, image_encoding?: ImageEncoding | undefined, init_image?: (string | null) | undefined, init_image_url?: (string | null) | undefined, inpainting_base_model?: (ADetailerInpaintingBaseModel | null) | undefined, loras?: ({[key: string]: number} | null) | undefined, mask_blur?: number | undefined, mask_dilation?: number | undefined, mask_padding?: number | undefined, max_num_detections?: (number | null) | undefined, negative_prompt?: (string | null) | undefined, prompt?: (string | null) | undefined, sampler?: Scheduler | undefined, seed?: (number | Array<number | null> | null) | undefined, steps?: number | undefined, strength?: number | undefined, style_preset?: string | undefined, transfer_images?: ({[key: string]: Array<string>} | null) | undefined, union_masks?: boolean | undefined, use_refiner?: boolean | undefined};

export type CreateApiAdetailerArgs = {body: ADetailerRequest};

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

export const aDetailerResponse = z.object({image_b64: z.string().nullable(), init_image_removed_for_safety: z.boolean(), num_objects_detected: z.number().int(), num_objects_inpainted: z.number().int(), num_removed_for_safety: z.number().int()});

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
};

/**
 * Adetailer
 * 
 * POST /adetailer
 */
export const createApiAdetailer = async (args: CreateApiAdetailerArgs, options?: CreateApiAdetailerOptions) => {
const {baseUrl = "https://image.octoai.run", fetch: fetchFn = fetch} = options ?? {}

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

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