import * as pulumi from "@pulumi/pulumi";
import * as inputs from "../types/input";
import * as outputs from "../types/output";
/**
 * A Workbench instance.
 *
 * To get more information about Instance, see:
 *
 * * [API documentation](https://cloud.google.com/vertex-ai/docs/workbench/reference/rest/v2/projects.locations.instances)
 * * How-to Guides
 *     * [Official Documentation](https://cloud.google.com/vertex-ai/docs/workbench/instances/introduction)
 *
 * ## Example Usage
 *
 * ### Workbench Instance Basic
 *
 * ```typescript
 * import * as pulumi from "@pulumi/pulumi";
 * import * as gcp from "@pulumi/gcp";
 *
 * const instance = new gcp.workbench.Instance("instance", {
 *     name: "workbench-instance",
 *     location: "us-west1-a",
 * });
 * ```
 * ### Workbench Instance Basic Container
 *
 * ```typescript
 * import * as pulumi from "@pulumi/pulumi";
 * import * as gcp from "@pulumi/gcp";
 *
 * const instance = new gcp.workbench.Instance("instance", {
 *     name: "workbench-instance",
 *     location: "us-west1-a",
 *     gceSetup: {
 *         containerImage: {
 *             repository: "us-docker.pkg.dev/deeplearning-platform-release/gcr.io/base-cu113.py310",
 *             tag: "latest",
 *         },
 *     },
 * });
 * ```
 * ### Workbench Instance Basic Gpu
 *
 * ```typescript
 * import * as pulumi from "@pulumi/pulumi";
 * import * as gcp from "@pulumi/gcp";
 *
 * const instance = new gcp.workbench.Instance("instance", {
 *     name: "workbench-instance",
 *     location: "us-central1-a",
 *     gceSetup: {
 *         machineType: "n1-standard-1",
 *         acceleratorConfigs: [{
 *             type: "NVIDIA_TESLA_T4",
 *             coreCount: "1",
 *         }],
 *         vmImage: {
 *             project: "cloud-notebooks-managed",
 *             family: "workbench-instances",
 *         },
 *     },
 * });
 * ```
 * ### Workbench Instance Labels Stopped
 *
 * ```typescript
 * import * as pulumi from "@pulumi/pulumi";
 * import * as gcp from "@pulumi/gcp";
 *
 * const instance = new gcp.workbench.Instance("instance", {
 *     name: "workbench-instance",
 *     location: "us-central1-a",
 *     gceSetup: {
 *         machineType: "e2-standard-4",
 *         shieldedInstanceConfig: {
 *             enableSecureBoot: false,
 *             enableVtpm: false,
 *             enableIntegrityMonitoring: false,
 *         },
 *         serviceAccounts: [{
 *             email: "my@service-account.com",
 *         }],
 *         metadata: {
 *             terraform: "true",
 *         },
 *     },
 *     labels: {
 *         k: "val",
 *     },
 *     desiredState: "STOPPED",
 * });
 * ```
 * ### Workbench Instance Full
 *
 * ```typescript
 * import * as pulumi from "@pulumi/pulumi";
 * import * as gcp from "@pulumi/gcp";
 *
 * const myNetwork = new gcp.compute.Network("my_network", {
 *     name: "wbi-test-default",
 *     autoCreateSubnetworks: false,
 * });
 * const mySubnetwork = new gcp.compute.Subnetwork("my_subnetwork", {
 *     name: "wbi-test-default",
 *     network: myNetwork.id,
 *     region: "us-central1",
 *     ipCidrRange: "10.0.1.0/24",
 * });
 * const static = new gcp.compute.Address("static", {name: "wbi-test-default"});
 * const actAsPermission = new gcp.serviceaccount.IAMBinding("act_as_permission", {
 *     serviceAccountId: "projects/my-project-name/serviceAccounts/my@service-account.com",
 *     role: "roles/iam.serviceAccountUser",
 *     members: ["user:example@example.com"],
 * });
 * const instance = new gcp.workbench.Instance("instance", {
 *     name: "workbench-instance",
 *     location: "us-central1-a",
 *     gceSetup: {
 *         machineType: "n1-standard-4",
 *         acceleratorConfigs: [{
 *             type: "NVIDIA_TESLA_T4",
 *             coreCount: "1",
 *         }],
 *         shieldedInstanceConfig: {
 *             enableSecureBoot: true,
 *             enableVtpm: true,
 *             enableIntegrityMonitoring: true,
 *         },
 *         disablePublicIp: false,
 *         serviceAccounts: [{
 *             email: "my@service-account.com",
 *         }],
 *         bootDisk: {
 *             diskSizeGb: "310",
 *             diskType: "PD_SSD",
 *             diskEncryption: "CMEK",
 *             kmsKey: "my-crypto-key",
 *         },
 *         dataDisks: {
 *             diskSizeGb: "330",
 *             diskType: "PD_SSD",
 *             diskEncryption: "CMEK",
 *             kmsKey: "my-crypto-key",
 *         },
 *         networkInterfaces: [{
 *             network: myNetwork.id,
 *             subnet: mySubnetwork.id,
 *             nicType: "GVNIC",
 *             accessConfigs: [{
 *                 externalIp: static.address,
 *             }],
 *         }],
 *         metadata: {
 *             terraform: "true",
 *         },
 *         enableIpForwarding: true,
 *         tags: [
 *             "abc",
 *             "def",
 *         ],
 *     },
 *     disableProxyAccess: true,
 *     instanceOwners: ["example@example.com"],
 *     labels: {
 *         k: "val",
 *     },
 *     desiredState: "ACTIVE",
 *     enableThirdPartyIdentity: true,
 * }, {
 *     dependsOn: [
 *         myNetwork,
 *         mySubnetwork,
 *         static,
 *         actAsPermission,
 *     ],
 * });
 * ```
 *
 * ## Import
 *
 * Instance can be imported using any of these accepted formats:
 *
 * * `projects/{{project}}/locations/{{location}}/instances/{{name}}`
 *
 * * `{{project}}/{{location}}/{{name}}`
 *
 * * `{{location}}/{{name}}`
 *
 * When using the `pulumi import` command, Instance can be imported using one of the formats above. For example:
 *
 * ```sh
 * $ pulumi import gcp:workbench/instance:Instance default projects/{{project}}/locations/{{location}}/instances/{{name}}
 * ```
 *
 * ```sh
 * $ pulumi import gcp:workbench/instance:Instance default {{project}}/{{location}}/{{name}}
 * ```
 *
 * ```sh
 * $ pulumi import gcp:workbench/instance:Instance default {{location}}/{{name}}
 * ```
 */
export declare class Instance extends pulumi.CustomResource {
    /**
     * Get an existing Instance resource's state with the given name, ID, and optional extra
     * properties used to qualify the lookup.
     *
     * @param name The _unique_ name of the resulting resource.
     * @param id The _unique_ provider ID of the resource to lookup.
     * @param state Any extra arguments used during the lookup.
     * @param opts Optional settings to control the behavior of the CustomResource.
     */
    static get(name: string, id: pulumi.Input<pulumi.ID>, state?: InstanceState, opts?: pulumi.CustomResourceOptions): Instance;
    /**
     * Returns true if the given object is an instance of Instance.  This is designed to work even
     * when multiple copies of the Pulumi SDK have been loaded into the same process.
     */
    static isInstance(obj: any): obj is Instance;
    /**
     * An RFC3339 timestamp in UTC time. This in the format of yyyy-MM-ddTHH:mm:ss.SSSZ.
     * The milliseconds portion (".SSS") is optional.
     */
    readonly createTime: pulumi.Output<string>;
    /**
     * Output only. Email address of entity that sent original CreateInstance request.
     */
    readonly creator: pulumi.Output<string>;
    /**
     * Desired state of the Workbench Instance. Set this field to `ACTIVE` to start the Instance, and `STOPPED` to stop the Instance.
     */
    readonly desiredState: pulumi.Output<string | undefined>;
    /**
     * Optional. If true, the workbench instance will not register with the proxy.
     */
    readonly disableProxyAccess: pulumi.Output<boolean | undefined>;
    /**
     * All of labels (key/value pairs) present on the resource in GCP, including the labels configured through Pulumi, other clients and services.
     */
    readonly effectiveLabels: pulumi.Output<{
        [key: string]: string;
    }>;
    /**
     * Flag that specifies that a notebook can be accessed with third party
     * identity provider.
     */
    readonly enableThirdPartyIdentity: pulumi.Output<boolean | undefined>;
    /**
     * The definition of how to configure a VM instance outside of Resources and Identity.
     * Structure is documented below.
     */
    readonly gceSetup: pulumi.Output<outputs.workbench.InstanceGceSetup>;
    /**
     * 'Output only. Additional information about instance health. Example:
     * healthInfo": { "dockerProxyAgentStatus": "1", "dockerStatus": "1", "jupyterlabApiStatus":
     * "-1", "jupyterlabStatus": "-1", "updated": "2020-10-18 09:40:03.573409" }'
     */
    readonly healthInfos: pulumi.Output<outputs.workbench.InstanceHealthInfo[]>;
    /**
     * Output only. Instance health_state.
     */
    readonly healthState: pulumi.Output<string>;
    /**
     * Required. User-defined unique ID of this instance.
     */
    readonly instanceId: pulumi.Output<string | undefined>;
    /**
     * 'Optional. Input only. The owner of this instance after creation. Format:
     * `alias@example.com` Currently supports one owner only. If not specified, all of
     * the service account users of your VM instance''s service account can use the instance.
     * If specified, sets the access mode to `Single user`. For more details, see
     * https://cloud.google.com/vertex-ai/docs/workbench/instances/manage-access-jupyterlab'
     */
    readonly instanceOwners: pulumi.Output<string[] | undefined>;
    /**
     * Optional. Labels to apply to this instance. These can be later modified
     * by the UpdateInstance method.
     *
     * **Note**: This field is non-authoritative, and will only manage the labels present in your configuration.
     * Please refer to the field `effectiveLabels` for all of the labels present on the resource.
     */
    readonly labels: pulumi.Output<{
        [key: string]: string;
    } | undefined>;
    /**
     * Part of `parent`. See documentation of `projectsId`.
     *
     *
     * - - -
     */
    readonly location: pulumi.Output<string>;
    /**
     * The name of this workbench instance. Format: `projects/{project_id}/locations/{location}/instances/{instance_id}`
     */
    readonly name: pulumi.Output<string>;
    /**
     * The ID of the project in which the resource belongs.
     * If it is not provided, the provider project is used.
     */
    readonly project: pulumi.Output<string>;
    /**
     * Output only. The proxy endpoint that is used to access the Jupyter notebook.
     */
    readonly proxyUri: pulumi.Output<string>;
    /**
     * The combination of labels configured directly on the resource
     * and default labels configured on the provider.
     */
    readonly pulumiLabels: pulumi.Output<{
        [key: string]: string;
    }>;
    /**
     * (Output)
     * Output only. The state of this instance upgrade history entry.
     */
    readonly state: pulumi.Output<string>;
    /**
     * An RFC3339 timestamp in UTC time. This in the format of yyyy-MM-ddTHH:mm:ss.SSSZ.
     * The milliseconds portion (".SSS") is optional.
     */
    readonly updateTime: pulumi.Output<string>;
    /**
     * Output only. The upgrade history of this instance.
     * Structure is documented below.
     */
    readonly upgradeHistories: pulumi.Output<outputs.workbench.InstanceUpgradeHistory[]>;
    /**
     * Create a Instance resource with the given unique name, arguments, and options.
     *
     * @param name The _unique_ name of the resource.
     * @param args The arguments to use to populate this resource's properties.
     * @param opts A bag of options that control this resource's behavior.
     */
    constructor(name: string, args: InstanceArgs, opts?: pulumi.CustomResourceOptions);
}
/**
 * Input properties used for looking up and filtering Instance resources.
 */
export interface InstanceState {
    /**
     * An RFC3339 timestamp in UTC time. This in the format of yyyy-MM-ddTHH:mm:ss.SSSZ.
     * The milliseconds portion (".SSS") is optional.
     */
    createTime?: pulumi.Input<string>;
    /**
     * Output only. Email address of entity that sent original CreateInstance request.
     */
    creator?: pulumi.Input<string>;
    /**
     * Desired state of the Workbench Instance. Set this field to `ACTIVE` to start the Instance, and `STOPPED` to stop the Instance.
     */
    desiredState?: pulumi.Input<string>;
    /**
     * Optional. If true, the workbench instance will not register with the proxy.
     */
    disableProxyAccess?: pulumi.Input<boolean>;
    /**
     * All of labels (key/value pairs) present on the resource in GCP, including the labels configured through Pulumi, other clients and services.
     */
    effectiveLabels?: pulumi.Input<{
        [key: string]: pulumi.Input<string>;
    }>;
    /**
     * Flag that specifies that a notebook can be accessed with third party
     * identity provider.
     */
    enableThirdPartyIdentity?: pulumi.Input<boolean>;
    /**
     * The definition of how to configure a VM instance outside of Resources and Identity.
     * Structure is documented below.
     */
    gceSetup?: pulumi.Input<inputs.workbench.InstanceGceSetup>;
    /**
     * 'Output only. Additional information about instance health. Example:
     * healthInfo": { "dockerProxyAgentStatus": "1", "dockerStatus": "1", "jupyterlabApiStatus":
     * "-1", "jupyterlabStatus": "-1", "updated": "2020-10-18 09:40:03.573409" }'
     */
    healthInfos?: pulumi.Input<pulumi.Input<inputs.workbench.InstanceHealthInfo>[]>;
    /**
     * Output only. Instance health_state.
     */
    healthState?: pulumi.Input<string>;
    /**
     * Required. User-defined unique ID of this instance.
     */
    instanceId?: pulumi.Input<string>;
    /**
     * 'Optional. Input only. The owner of this instance after creation. Format:
     * `alias@example.com` Currently supports one owner only. If not specified, all of
     * the service account users of your VM instance''s service account can use the instance.
     * If specified, sets the access mode to `Single user`. For more details, see
     * https://cloud.google.com/vertex-ai/docs/workbench/instances/manage-access-jupyterlab'
     */
    instanceOwners?: pulumi.Input<pulumi.Input<string>[]>;
    /**
     * Optional. Labels to apply to this instance. These can be later modified
     * by the UpdateInstance method.
     *
     * **Note**: This field is non-authoritative, and will only manage the labels present in your configuration.
     * Please refer to the field `effectiveLabels` for all of the labels present on the resource.
     */
    labels?: pulumi.Input<{
        [key: string]: pulumi.Input<string>;
    }>;
    /**
     * Part of `parent`. See documentation of `projectsId`.
     *
     *
     * - - -
     */
    location?: pulumi.Input<string>;
    /**
     * The name of this workbench instance. Format: `projects/{project_id}/locations/{location}/instances/{instance_id}`
     */
    name?: pulumi.Input<string>;
    /**
     * The ID of the project in which the resource belongs.
     * If it is not provided, the provider project is used.
     */
    project?: pulumi.Input<string>;
    /**
     * Output only. The proxy endpoint that is used to access the Jupyter notebook.
     */
    proxyUri?: pulumi.Input<string>;
    /**
     * The combination of labels configured directly on the resource
     * and default labels configured on the provider.
     */
    pulumiLabels?: pulumi.Input<{
        [key: string]: pulumi.Input<string>;
    }>;
    /**
     * (Output)
     * Output only. The state of this instance upgrade history entry.
     */
    state?: pulumi.Input<string>;
    /**
     * An RFC3339 timestamp in UTC time. This in the format of yyyy-MM-ddTHH:mm:ss.SSSZ.
     * The milliseconds portion (".SSS") is optional.
     */
    updateTime?: pulumi.Input<string>;
    /**
     * Output only. The upgrade history of this instance.
     * Structure is documented below.
     */
    upgradeHistories?: pulumi.Input<pulumi.Input<inputs.workbench.InstanceUpgradeHistory>[]>;
}
/**
 * The set of arguments for constructing a Instance resource.
 */
export interface InstanceArgs {
    /**
     * Desired state of the Workbench Instance. Set this field to `ACTIVE` to start the Instance, and `STOPPED` to stop the Instance.
     */
    desiredState?: pulumi.Input<string>;
    /**
     * Optional. If true, the workbench instance will not register with the proxy.
     */
    disableProxyAccess?: pulumi.Input<boolean>;
    /**
     * Flag that specifies that a notebook can be accessed with third party
     * identity provider.
     */
    enableThirdPartyIdentity?: pulumi.Input<boolean>;
    /**
     * The definition of how to configure a VM instance outside of Resources and Identity.
     * Structure is documented below.
     */
    gceSetup?: pulumi.Input<inputs.workbench.InstanceGceSetup>;
    /**
     * Required. User-defined unique ID of this instance.
     */
    instanceId?: pulumi.Input<string>;
    /**
     * 'Optional. Input only. The owner of this instance after creation. Format:
     * `alias@example.com` Currently supports one owner only. If not specified, all of
     * the service account users of your VM instance''s service account can use the instance.
     * If specified, sets the access mode to `Single user`. For more details, see
     * https://cloud.google.com/vertex-ai/docs/workbench/instances/manage-access-jupyterlab'
     */
    instanceOwners?: pulumi.Input<pulumi.Input<string>[]>;
    /**
     * Optional. Labels to apply to this instance. These can be later modified
     * by the UpdateInstance method.
     *
     * **Note**: This field is non-authoritative, and will only manage the labels present in your configuration.
     * Please refer to the field `effectiveLabels` for all of the labels present on the resource.
     */
    labels?: pulumi.Input<{
        [key: string]: pulumi.Input<string>;
    }>;
    /**
     * Part of `parent`. See documentation of `projectsId`.
     *
     *
     * - - -
     */
    location: pulumi.Input<string>;
    /**
     * The name of this workbench instance. Format: `projects/{project_id}/locations/{location}/instances/{instance_id}`
     */
    name?: pulumi.Input<string>;
    /**
     * The ID of the project in which the resource belongs.
     * If it is not provided, the provider project is used.
     */
    project?: pulumi.Input<string>;
}
