import {z} from 'zod'

export type GetApiV1ProjectsProjectsIdLocationsLocationsIdDeploymentResourcePoolsDeploymentResourcePoolsIdArgs = {projectsId: string, locationsId: string, deploymentResourcePoolsId: string};

export type GetApiV1ProjectsProjectsIdLocationsLocationsIdDeploymentResourcePoolsDeploymentResourcePoolsIdOptions = {baseUrl?: string | undefined, Oauth2?: string | undefined, Oauth2c?: string | undefined, fetch?: typeof fetch | undefined};

export const googleCloudAiplatformV1AutoscalingMetricSpec = z.object({metricName: z.string().optional(), target: z.number().int().optional()});

export const googleCloudAiplatformV1ReservationAffinity = z.object({key: z.string().optional(), reservationAffinityType: z.enum(["TYPE_UNSPECIFIED", "NO_RESERVATION", "ANY_RESERVATION", "SPECIFIC_RESERVATION"]).optional(), values: z.array(z.string()).optional()});

export const googleCloudAiplatformV1MachineSpec = z.object({acceleratorCount: z.number().int().optional(), acceleratorType: z.enum(["ACCELERATOR_TYPE_UNSPECIFIED", "NVIDIA_TESLA_K80", "NVIDIA_TESLA_P100", "NVIDIA_TESLA_V100", "NVIDIA_TESLA_P4", "NVIDIA_TESLA_T4", "NVIDIA_TESLA_A100", "NVIDIA_A100_80GB", "NVIDIA_L4", "NVIDIA_H100_80GB", "NVIDIA_H100_MEGA_80GB", "NVIDIA_H200_141GB", "NVIDIA_B200", "NVIDIA_GB200", "NVIDIA_RTX_PRO_6000", "TPU_V2", "TPU_V3", "TPU_V4_POD", "TPU_V5_LITEPOD"]).optional(), gpuPartitionSize: z.string().optional(), machineType: z.string().optional(), reservationAffinity: googleCloudAiplatformV1ReservationAffinity.optional(), tpuTopology: z.string().optional()});

export const googleCloudAiplatformV1DedicatedResources = z.object({autoscalingMetricSpecs: z.array(googleCloudAiplatformV1AutoscalingMetricSpec).optional(), machineSpec: googleCloudAiplatformV1MachineSpec.optional(), maxReplicaCount: z.number().int().optional(), minReplicaCount: z.number().int().optional(), requiredReplicaCount: z.number().int().optional(), spot: z.boolean().optional()});

export const googleCloudAiplatformV1EncryptionSpec = z.object({kmsKeyName: z.string().optional()});

export const googleCloudAiplatformV1DeploymentResourcePool = z.object({createTime: z.string().optional(), dedicatedResources: googleCloudAiplatformV1DedicatedResources.optional(), disableContainerLogging: z.boolean().optional(), encryptionSpec: googleCloudAiplatformV1EncryptionSpec.optional(), name: z.string().optional(), satisfiesPzi: z.boolean().optional(), satisfiesPzs: z.boolean().optional(), serviceAccount: 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 a DeploymentResourcePool.
 * 
 * GET /v1/projects/{projectsId}/locations/{locationsId}/deploymentResourcePools/{deploymentResourcePoolsId}
 */
export const getApiV1ProjectsProjectsIdLocationsLocationsIdDeploymentResourcePoolsDeploymentResourcePoolsId = async (args: GetApiV1ProjectsProjectsIdLocationsLocationsIdDeploymentResourcePoolsDeploymentResourcePoolsIdArgs, options?: GetApiV1ProjectsProjectsIdLocationsLocationsIdDeploymentResourcePoolsDeploymentResourcePoolsIdOptions) => {
const {baseUrl = "https://aiplatform.googleapis.com", fetch: fetchFn = fetch, Oauth2, Oauth2c} = options ?? {}

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

if (Oauth2 !== undefined) headers.set('authorization', `Bearer ${Oauth2}`)
if (Oauth2c !== undefined) headers.set('authorization', `Bearer ${Oauth2c}`)

const url = `${baseUrl.replace(/\/+$/, '')}/v1/projects/${encodeURIComponent(String(args.projectsId))}/locations/${encodeURIComponent(String(args.locationsId))}/deploymentResourcePools/${encodeURIComponent(String(args.deploymentResourcePoolsId))}${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(googleCloudAiplatformV1DeploymentResourcePool, await res.json())
};