import {z} from 'zod'

export type GetLoopsDeploymentMetricsRequestV1 = {end_epoch_millis?: (number | null) | undefined, start_epoch_millis?: (number | null) | undefined, step_seconds?: (number | null) | undefined, time_divisor_seconds?: (number | null) | undefined};

export type CreateApiV1LoopsDeploymentsDeploymentIdMetricsArgs = {body: GetLoopsDeploymentMetricsRequestV1};

export type CreateApiV1LoopsDeploymentsDeploymentIdMetricsOptions = {baseUrl: string, BearerAuth?: string | undefined, fetch?: typeof fetch | undefined};

export const trainingJobMetricV1 = z.object({value: z.number(), timestamp: z.string()});

export const responseTimeDatapointV1 = z.object({timestamp: z.string(), p50: z.number().nullable().optional(), p95: z.number().nullable().optional(), p99: z.number().nullable().optional()});

export const inferenceVolumeByStatusDatapointV1 = z.object({timestamp: z.string(), status_2xx: z.number(), status_4xx: z.number(), status_5xx: z.number()});

export const storageMetricsV1 = z.object({usage_bytes: z.array(trainingJobMetricV1), utilization: z.array(trainingJobMetricV1)});

export const loopsDeploymentNodeMetricsV1 = z.object({node_id: z.string(), gpu_memory_usage_bytes: z.record(z.string(), z.array(trainingJobMetricV1)), gpu_utilization: z.record(z.string(), z.array(trainingJobMetricV1)), cpu_usage: z.array(trainingJobMetricV1), cpu_memory_usage_bytes: z.array(trainingJobMetricV1), ephemeral_storage: storageMetricsV1});

export const loopsDeploymentMetricsV1 = z.object({inference_volume: z.array(trainingJobMetricV1), concurrent_requests: z.array(trainingJobMetricV1), response_time_stats: z.array(responseTimeDatapointV1), inference_volume_by_status: z.array(inferenceVolumeByStatusDatapointV1), gpu_memory_usage_bytes: z.record(z.string(), z.array(trainingJobMetricV1)), gpu_utilization: z.record(z.string(), z.array(trainingJobMetricV1)), cpu_usage: z.array(trainingJobMetricV1), cpu_memory_usage_bytes: z.array(trainingJobMetricV1), ephemeral_storage: storageMetricsV1, per_node_metrics: z.array(loopsDeploymentNodeMetricsV1)});

export const getLoopsDeploymentMetricsResponseV1 = z.object({deployment_id: z.string(), metrics: loopsDeploymentMetricsV1});

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
};

/**
 * Gets metrics for a Loops trainer deployment
 * 
 * POST /v1/loops/deployments/{deployment_id}/metrics
 */
export const createApiV1LoopsDeploymentsDeploymentIdMetrics = async (args: CreateApiV1LoopsDeploymentsDeploymentIdMetricsArgs, options: CreateApiV1LoopsDeploymentsDeploymentIdMetricsOptions) => {
const {baseUrl, fetch: fetchFn = fetch, BearerAuth} = options ?? {}

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

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

const url = `${baseUrl.replace(/\/+$/, '')}/v1/loops/deployments/${encodeURIComponent(String(args.deployment_id))}/metrics${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(getLoopsDeploymentMetricsResponseV1, await res.json())
};