import {z} from 'zod'

export type GetApiDiV1ModelsModelIdKillArgs = {model_id: string};

export type GetApiDiV1ModelsModelIdKillOptions = {baseUrl?: string | undefined, basicAuthToken?: string | undefined, fetch?: typeof fetch | undefined};

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

export const trainingStatus = z.object({status: z.string().optional(), status_description: z.string().optional(), submitted: z.string().optional(), completed: z.string().optional(), status_message: z.string().optional(), error_code: z.string().optional()});

export const training = z.object({command: z.string().optional(), size: z.string().optional(), cpus: z.number().optional(), gpus: z.number().optional(), memory: z.number().optional(), memory_unit: z.enum(["MiB", "MB", "GiB", "GB"]).optional(), learners: z.number().int().optional(), input_data: z.array(z.string()).optional(), output_data: z.array(z.string()).optional(), training_status: trainingStatus.optional()});

export const datastore = z.object({data_store_id: z.string().optional(), type: z.string().optional(), connection: z.record(z.string(), z.string()).optional(), Fields: z.record(z.string(), z.string()).optional()});

export const fields = z.object({hdfs: z.string().optional(), resource_id: z.string().optional(), version: z.string().optional()});

export const tFosRequest = z.object({py_file: z.array(fields).optional(), Archives: z.array(fields).optional(), EntryPoint: fields.optional(), TensorflowEnv: fields.optional(), Executors: z.string().optional(), ExecutorCores: z.string().optional(), ExecutorMemory: z.string().optional(), Queue: z.string().optional(), DriverMemory: z.string().optional(), Command: z.string().optional()});

export const dataSet = z.object({training_data_path: z.string().optional(), testing_data_path: z.string().optional(), validation_data_path: z.string().optional(), training_label_path: z.string().optional(), testing_label_path: z.string().optional(), validation_label_path: z.string().optional()});

export const model = z.object({model_id: z.string().optional(), location: z.string().optional(), name: z.string().optional(), description: z.string().optional(), framework: framework.optional(), training: training.optional(), data_stores: z.array(datastore).optional(), job_namespace: z.string().optional(), user_id: z.string().optional(), pss: z.string().optional(), ps_cpu: z.string().optional(), ps_image: z.string().optional(), ps_memory: z.string().optional(), JobAlert: z.string().optional(), JobType: z.string().optional(), expRunId: z.string().optional(), expName: z.string().optional(), fileName: z.string().optional(), filePath: z.string().optional(), submission_timestamp: z.string().optional(), completed_timestamp: z.string().optional(), TFosRequest: tFosRequest.optional(), proxy_user: z.string().optional(), job_params: z.string().optional(), api_type: z.string().optional(), data_set: dataSet.optional(), code_selector: z.string().optional(), submit_id: z.string().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
};

/**
 * Get detailed information about a model.
 * 
 * GET /di/v1/models/{model_id}/kill
 * 
 * Also accepts auth: watsonAuthToken, watsonAuthTokenQuery
 */
export const getApiDiV1ModelsModelIdKill = async (args: GetApiDiV1ModelsModelIdKillArgs, options?: GetApiDiV1ModelsModelIdKillOptions) => {
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/v1/models/${encodeURIComponent(String(args.model_id))}/kill${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(model, await res.json())
};