import {z} from 'zod'

export type PublicRecommendHyperparamsDto = {dataset_id: string, model?: string | undefined, augmentation_domain_rows?: number | undefined, augmentation_general_rows?: number | undefined};

export type CreateApiApiV1AutoscientistRecommendHyperparamsArgs = {body: PublicRecommendHyperparamsDto};

export type CreateApiApiV1AutoscientistRecommendHyperparamsOptions = {baseUrl: string, bearer?: string | undefined, fetch?: typeof fetch | undefined};

export const publicAutoScientistHyperparamsDto = z.object({training_type: z.enum(["lora", "full"]).optional(), n_epochs: z.number().gte(1).lte(20).optional(), learning_rate: z.number().gte(1e-8).lte(0.01).optional(), batch_size: z.union([z.literal("max"), z.number().int().gte(1)]).optional(), lora_r: z.number().gte(1).lte(64).optional(), lora_alpha: z.number().optional(), lora_dropout: z.number().gte(0).lte(1).optional(), lora_trainable_modules: z.string().optional(), lr_scheduler_type: z.enum(["linear", "cosine"]).optional(), min_lr_ratio: z.number().gte(0).lte(1).optional(), scheduler_num_cycles: z.number().gt(0).lte(4).optional(), warmup_ratio: z.number().gte(0).lte(1).optional(), max_grad_norm: z.number().gte(0).optional(), weight_decay: z.number().gte(0).optional(), train_on_inputs: z.boolean().optional(), dpo_beta: z.number().gte(0.05).lte(0.9).optional(), dpo_normalize_logratios_by_length: z.boolean().optional(), rpo_alpha: z.number().gte(0).optional(), simpo_gamma: z.number().gte(0).optional()});

export const publicRecommendHyperparamsResponseDto = z.object({model: z.string(), hyperparams: publicAutoScientistHyperparamsDto});

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
};

/**
 * Recommend hyperparameters
 * 
 * POST /api/v1/autoscientist/recommend-hyperparams
 */
export const createApiApiV1AutoscientistRecommendHyperparams = async (args: CreateApiApiV1AutoscientistRecommendHyperparamsArgs, options: CreateApiApiV1AutoscientistRecommendHyperparamsOptions) => {
const {baseUrl, fetch: fetchFn = fetch, bearer} = options ?? {}

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

if (bearer !== undefined) headers.set('authorization', `Bearer ${bearer}`)

const url = `${baseUrl.replace(/\/+$/, '')}/api/v1/autoscientist/recommend-hyperparams${query.size > 0 ? `?${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(publicRecommendHyperparamsResponseDto, await res.json())
};