import {z} from 'zod'

export type GetApiV1FineTuningJobsJobIdCheckpointsCheckpointIdArgs = {job_id: string, checkpoint_id: string};

export type GetApiV1FineTuningJobsJobIdCheckpointsCheckpointIdOptions = {baseUrl?: string | undefined, HTTPBearer?: string | undefined, fetch?: typeof fetch | undefined};

export const metrics = z.object({full_valid_loss: z.number().nullable().optional(), full_valid_mean_token_accuracy: z.number().nullable().optional(), step: z.number().nullable().optional(), train_loss: z.number().nullable().optional(), train_mean_token_accuracy: z.number().nullable().optional(), valid_loss: z.number().nullable().optional(), valid_mean_token_accuracy: z.number().nullable().optional()}).and(z.record(z.string(), z.unknown()));

export const openaiTypesFineTuningJobsFineTuningJobCheckpointFineTuningJobCheckpoint = z.object({id: z.string(), created_at: z.number().int(), fine_tuned_model_checkpoint: z.string(), fine_tuning_job_id: z.string(), metrics: metrics, object: z.literal("fine_tuning.job.checkpoint"), step_number: z.number().int()}).and(z.record(z.string(), z.unknown()));

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
};

/**
 * Get fine-tuning checkpoint
 * 
 * GET /v1/fine_tuning/jobs/{job_id}/checkpoints/{checkpoint_id}
 */
export const getApiV1FineTuningJobsJobIdCheckpointsCheckpointId = async (args: GetApiV1FineTuningJobsJobIdCheckpointsCheckpointIdArgs, options?: GetApiV1FineTuningJobsJobIdCheckpointsCheckpointIdOptions) => {
const {baseUrl = "https://api.tokenfactory.nebius.com", fetch: fetchFn = fetch, HTTPBearer} = options ?? {}

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

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

const url = `${baseUrl.replace(/\/+$/, '')}/v1/fine_tuning/jobs/${encodeURIComponent(String(args.job_id))}/checkpoints/${encodeURIComponent(String(args.checkpoint_id))}${query.size > 0 ? `?${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(openaiTypesFineTuningJobsFineTuningJobCheckpointFineTuningJobCheckpoint, await res.json())
};