import {z} from 'zod'

export type GetApiV1TrainingJobsJobIdCheckpointsArgs = {job_id: string};

export type GetApiV1TrainingJobsJobIdCheckpointsOptions = {baseUrl?: string | undefined, ApiKeyAuth?: string | undefined, fetch?: typeof fetch | undefined};

export const checkpointResponse = z.object({accuracy: z.number().nullable().optional(), checkpoint_path: z.string().nullable().optional(), created_at: z.string(), epoch: z.number().int(), gpu_memory_total: z.number().int().nullable().optional(), gpu_memory_used: z.number().int().nullable().optional(), id: z.string(), is_best: z.boolean().optional(), is_deployable: z.boolean().optional(), is_final: z.boolean().optional(), job_id: z.string(), learning_rate: z.number().nullable().optional(), step: z.number().int().nullable().optional(), training_loss: z.number().nullable().optional(), updated_at: z.string(), validation_loss: z.number().nullable().optional()});

export const checkpointListResponse = z.object({checkpoints: z.array(checkpointResponse), count: z.number().int(), success: z.boolean()});

export const checkpointView = z.object({checkpoint_id: z.string(), checkpoint_type: z.enum(["training", "sampler"]), expires_at: z.string().nullable().optional(), public: z.boolean().optional(), size_bytes: z.number().int().nullable().optional(), time: z.string(), tinker_path: z.string(), user_metadata: z.record(z.string(), z.string()).nullable().optional()});

export const trainingRunCheckpointListResponse = z.object({checkpoints: z.array(checkpointView), count: z.number().int(), run_id: z.string(), success: z.boolean().optional()});

export const getApiV1TrainingJobsJobIdCheckpointsResponse = z.union([checkpointListResponse, trainingRunCheckpointListResponse]);

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
};

/**
 * List Job Checkpoints
 * 
 * GET /v1/training/jobs/{job_id}/checkpoints
 * 
 * Also accepts auth: BearerAuth
 */
export const getApiV1TrainingJobsJobIdCheckpoints = async (args: GetApiV1TrainingJobsJobIdCheckpointsArgs, options?: GetApiV1TrainingJobsJobIdCheckpointsOptions) => {
const {baseUrl = "https://api.fastino.ai", fetch: fetchFn = fetch, ApiKeyAuth} = options ?? {}

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

if (ApiKeyAuth !== undefined) headers.set("X-API-Key", ApiKeyAuth)

const url = `${baseUrl.replace(/\/+$/, '')}/v1/training/jobs/${encodeURIComponent(String(args.job_id))}/checkpoints${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(getApiV1TrainingJobsJobIdCheckpointsResponse, await res.json())
};