import {z} from 'zod'

export type GetApiDiV2PipelineGpuNodeManifestOptions = {baseUrl?: string | undefined, basicAuthToken?: string | undefined, fetch?: typeof fetch | undefined};

export const gPUNodeDataStoresSubDirectory = z.object({container: z.string().optional()});

export const gPUNodeDataStores = z.object({id: z.string().optional(), type: z.string().optional(), connection: z.object({type: z.string().optional(), name: z.string().optional(), path: z.string().optional()}).optional(), training_data: gPUNodeDataStoresSubDirectory.optional(), training_results: gPUNodeDataStoresSubDirectory.optional(), training_workspace: gPUNodeDataStoresSubDirectory.optional()});

export const frameWork = z.object({command: z.string().optional(), name: z.string().optional(), version: z.string().optional()});

export const dependResources = z.object({type: z.literal("MODEL").optional(), group_id: z.string().optional(), model_id: z.string().optional(), model_version_id: z.string().optional(), processline_id: z.string().optional(), processline_version_id: z.string().optional()});

export const gPUNodeManifest = z.object({name: z.string().optional(), description: z.string().optional(), version: z.string().optional(), cpus: z.number().optional(), gpus: z.number().optional(), memory: z.string().optional(), namespace: z.string().optional(), job_type: z.enum(["Local", "dist-tf"]).optional(), learners: z.number().optional(), pss: z.number().optional(), ps_cpu: z.number().optional(), ps_image: z.number().optional(), ps_imageType: z.enum(["Standard", "Custom"]).optional(), ps_memory: z.string().optional(), data_stores: gPUNodeDataStores.optional(), framework: frameWork.optional(), code_selector: z.enum(["storagePath", "codeFile"]).optional(), code_path: z.string().optional(), fileName: z.string().optional(), proxy_user: z.string().optional(), exp_id: z.string().optional(), exp_name: z.string().optional(), ignore_fail: z.number().optional(), python_hdfs_path: z.string().optional(), depend_resources: dependResources.optional(), evaluation_metrics: z.object({type: z.string().optional()}).optional()});

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
};

/**
 * GetPipelineGPUNodeManifest
 * 
 * GET /di/v2/pipeline/gpu_node_manifest
 * 
 * Also accepts auth: watsonAuthToken, watsonAuthTokenQuery
 */
export const getApiDiV2PipelineGpuNodeManifest = async (options?: GetApiDiV2PipelineGpuNodeManifestOptions) => {
const {baseUrl = "https://di.prophecis.com", fetch: fetchFn = fetch, basicAuthToken} = options ?? {}

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

if (basicAuthToken !== undefined) headers.set("Authorization", basicAuthToken)

const url = `${baseUrl.replace(/\/+$/, '')}/di/v2/pipeline/gpu_node_manifest${query.size > 0 ? `?${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(gPUNodeManifest, await res.json())
};