import {z} from 'zod'

export type GetApiApiV1DatasetsDatasetIdFinetuneBestLaunchConfigArgs = {dataset_id: string};

export type GetApiApiV1DatasetsDatasetIdFinetuneBestLaunchConfigOptions = {baseUrl: string, bearer?: string | undefined, fetch?: typeof fetch | undefined};

export const datasetBestJobConfigDto = z.object({finetune_job_id: z.string(), training_experiment_id: z.string().nullable(), original_model_name: z.string().nullable(), trained_model_name: z.string().nullable(), training_method: z.enum(["sft", "dpo"]).nullable(), training_type: z.enum(["lora", "full"]).nullable(), data_format: z.enum(["chat", "instruction", "preference"]).nullable(), hyperparams: z.record(z.string(), z.unknown()).nullable()});

export const bestFinetuneLaunchConfigResponseDto = z.object({best_job_config: datasetBestJobConfigDto.nullable()});

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
};

/**
 * Best fine-tune launch config for re-launch parity
 * 
 * GET /api/v1/datasets/{dataset_id}/finetune/best-launch-config
 */
export const getApiApiV1DatasetsDatasetIdFinetuneBestLaunchConfig = async (args: GetApiApiV1DatasetsDatasetIdFinetuneBestLaunchConfigArgs, options: GetApiApiV1DatasetsDatasetIdFinetuneBestLaunchConfigOptions) => {
const {baseUrl, fetch: fetchFn = fetch, bearer} = options ?? {}

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

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

const url = `${baseUrl.replace(/\/+$/, '')}/api/v1/datasets/${encodeURIComponent(String(args.dataset_id))}/finetune/best-launch-config${query.size > 0 ? `?${query}` : ''}`

const res = await fetchFn(url, {method: "GET", headers})

if (!res.ok) throw new Error(`Request failed with status ${res.status}`, {cause: {status: res.status, body: await res.text()}})

return validateResponse(bestFinetuneLaunchConfigResponseDto, await res.json())
};