"use strict";
// *** WARNING: this file was generated by pulumi-language-nodejs. ***
// *** Do not edit by hand unless you're certain you know what you are doing! ***
Object.defineProperty(exports, "__esModule", { value: true });
exports.AiTensorboard = void 0;
const pulumi = require("@pulumi/pulumi");
const utilities = require("../utilities");
/**
 * Tensorboard is a physical database that stores users' training metrics. A default Tensorboard is provided in each region of a GCP project. If needed users can also create extra Tensorboards in their projects.
 *
 * To get more information about Tensorboard, see:
 *
 * * [API documentation](https://cloud.google.com/vertex-ai/docs/reference/rest/v1/projects.locations.tensorboards)
 * * How-to Guides
 *     * [Official Documentation](https://cloud.google.com/vertex-ai/docs)
 *
 * ## Example Usage
 *
 * ### Vertex Ai Tensorboard
 *
 * ```typescript
 * import * as pulumi from "@pulumi/pulumi";
 * import * as gcp from "@pulumi/gcp";
 *
 * const tensorboard = new gcp.vertex.AiTensorboard("tensorboard", {
 *     displayName: "terraform",
 *     description: "sample description",
 *     labels: {
 *         key1: "value1",
 *         key2: "value2",
 *     },
 *     region: "us-central1",
 * });
 * ```
 * ### Vertex Ai Tensorboard Full
 *
 * ```typescript
 * import * as pulumi from "@pulumi/pulumi";
 * import * as gcp from "@pulumi/gcp";
 *
 * const project = gcp.organizations.getProject({});
 * const cryptoKey = new gcp.kms.CryptoKeyIAMMember("crypto_key", {
 *     cryptoKeyId: "kms-name",
 *     role: "roles/cloudkms.cryptoKeyEncrypterDecrypter",
 *     member: project.then(project => `serviceAccount:service-${project.number}@gcp-sa-aiplatform.iam.gserviceaccount.com`),
 * });
 * const tensorboard = new gcp.vertex.AiTensorboard("tensorboard", {
 *     displayName: "terraform",
 *     description: "sample description",
 *     labels: {
 *         key1: "value1",
 *         key2: "value2",
 *     },
 *     region: "us-central1",
 *     encryptionSpec: {
 *         kmsKeyName: "kms-name",
 *     },
 * }, {
 *     dependsOn: [cryptoKey],
 * });
 * ```
 *
 * ## Import
 *
 * Tensorboard can be imported using any of these accepted formats:
 *
 * * `projects/{{project}}/locations/{{region}}/tensorboards/{{name}}`
 *
 * * `{{project}}/{{region}}/{{name}}`
 *
 * * `{{region}}/{{name}}`
 *
 * * `{{name}}`
 *
 * When using the `pulumi import` command, Tensorboard can be imported using one of the formats above. For example:
 *
 * ```sh
 * $ pulumi import gcp:vertex/aiTensorboard:AiTensorboard default projects/{{project}}/locations/{{region}}/tensorboards/{{name}}
 * ```
 *
 * ```sh
 * $ pulumi import gcp:vertex/aiTensorboard:AiTensorboard default {{project}}/{{region}}/{{name}}
 * ```
 *
 * ```sh
 * $ pulumi import gcp:vertex/aiTensorboard:AiTensorboard default {{region}}/{{name}}
 * ```
 *
 * ```sh
 * $ pulumi import gcp:vertex/aiTensorboard:AiTensorboard default {{name}}
 * ```
 */
class AiTensorboard extends pulumi.CustomResource {
    /**
     * Get an existing AiTensorboard 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, id, state, opts) {
        return new AiTensorboard(name, state, { ...opts, id: id });
    }
    /**
     * Returns true if the given object is an instance of AiTensorboard.  This is designed to work even
     * when multiple copies of the Pulumi SDK have been loaded into the same process.
     */
    static isInstance(obj) {
        if (obj === undefined || obj === null) {
            return false;
        }
        return obj['__pulumiType'] === AiTensorboard.__pulumiType;
    }
    constructor(name, argsOrState, opts) {
        let resourceInputs = {};
        opts = opts || {};
        if (opts.id) {
            const state = argsOrState;
            resourceInputs["blobStoragePathPrefix"] = state?.blobStoragePathPrefix;
            resourceInputs["createTime"] = state?.createTime;
            resourceInputs["description"] = state?.description;
            resourceInputs["displayName"] = state?.displayName;
            resourceInputs["effectiveLabels"] = state?.effectiveLabels;
            resourceInputs["encryptionSpec"] = state?.encryptionSpec;
            resourceInputs["labels"] = state?.labels;
            resourceInputs["name"] = state?.name;
            resourceInputs["project"] = state?.project;
            resourceInputs["pulumiLabels"] = state?.pulumiLabels;
            resourceInputs["region"] = state?.region;
            resourceInputs["runCount"] = state?.runCount;
            resourceInputs["updateTime"] = state?.updateTime;
        }
        else {
            const args = argsOrState;
            if (args?.displayName === undefined && !opts.urn) {
                throw new Error("Missing required property 'displayName'");
            }
            resourceInputs["description"] = args?.description;
            resourceInputs["displayName"] = args?.displayName;
            resourceInputs["encryptionSpec"] = args?.encryptionSpec;
            resourceInputs["labels"] = args?.labels;
            resourceInputs["project"] = args?.project;
            resourceInputs["region"] = args?.region;
            resourceInputs["blobStoragePathPrefix"] = undefined /*out*/;
            resourceInputs["createTime"] = undefined /*out*/;
            resourceInputs["effectiveLabels"] = undefined /*out*/;
            resourceInputs["name"] = undefined /*out*/;
            resourceInputs["pulumiLabels"] = undefined /*out*/;
            resourceInputs["runCount"] = undefined /*out*/;
            resourceInputs["updateTime"] = undefined /*out*/;
        }
        opts = pulumi.mergeOptions(utilities.resourceOptsDefaults(), opts);
        const secretOpts = { additionalSecretOutputs: ["effectiveLabels", "pulumiLabels"] };
        opts = pulumi.mergeOptions(opts, secretOpts);
        super(AiTensorboard.__pulumiType, name, resourceInputs, opts);
    }
}
exports.AiTensorboard = AiTensorboard;
/** @internal */
AiTensorboard.__pulumiType = 'gcp:vertex/aiTensorboard:AiTensorboard';
//# sourceMappingURL=aiTensorboard.js.map