import {z} from 'zod'

export type MetricsParams = {replicaId?: (string | null) | undefined, start: string, stop: string};

export type CreateApiV2EndpointNamespaceNameMetricsInferenceRequestsArgs = {namespace: string, name: string, body: MetricsParams};

export type CreateApiV2EndpointNamespaceNameMetricsInferenceRequestsOptions = {baseUrl: string, token?: string | undefined, fetch?: typeof fetch | undefined};

export const dataPoint = z.object({x: z.string(), y: z.number()});

export const seriesHardware = z.object({data: z.array(dataPoint), deviceId: z.number().int().nullable().optional(), max: z.number().nullable().optional(), replicaId: z.string()});

export const graphHardware = z.object({series: z.array(seriesHardware)});

export const graphInferenceRequests = z.object({start: z.string(), stop: z.string(), timeWindowSeconds: z.number().int().gte(0), running: graphHardware, waiting: graphHardware});

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 endpoint inference requests waiting and running [READ]
 * 
 * POST /v2/endpoint/{namespace}/{name}/metrics/inference/requests
 */
export const createApiV2EndpointNamespaceNameMetricsInferenceRequests = async (args: CreateApiV2EndpointNamespaceNameMetricsInferenceRequestsArgs, options: CreateApiV2EndpointNamespaceNameMetricsInferenceRequestsOptions) => {
const {baseUrl, fetch: fetchFn = fetch, token} = options ?? {}

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

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

const url = `${baseUrl.replace(/\/+$/, '')}/v2/endpoint/${encodeURIComponent(String(args.namespace))}/${encodeURIComponent(String(args.name))}/metrics/inference/requests${query.size > 0 ? `?${query}` : ''}`

const res = await fetchFn(url, {method: "POST", headers, body: JSON.stringify(args.body)})

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

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