"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.AiFeatureOnlineStore = void 0;
const pulumi = require("@pulumi/pulumi");
const utilities = require("../utilities");
/**
 * Vertex AI Feature Online Store provides a centralized repository for serving ML features and embedding indexes at low latency. The Feature Online Store is a top-level container.
 *
 * To get more information about FeatureOnlineStore, see:
 *
 * * [API documentation](https://cloud.google.com/vertex-ai/docs/reference/rest/v1/projects.locations.featureOnlineStores)
 * * How-to Guides
 *     * [Official Documentation](https://cloud.google.com/vertex-ai/docs)
 *
 * ## Example Usage
 *
 * ### Vertex Ai Feature Online Store
 *
 * ```typescript
 * import * as pulumi from "@pulumi/pulumi";
 * import * as gcp from "@pulumi/gcp";
 *
 * const featureOnlineStore = new gcp.vertex.AiFeatureOnlineStore("feature_online_store", {
 *     name: "example_feature_online_store",
 *     labels: {
 *         foo: "bar",
 *     },
 *     region: "us-central1",
 *     bigtable: {
 *         autoScaling: {
 *             minNodeCount: 1,
 *             maxNodeCount: 3,
 *             cpuUtilizationTarget: 50,
 *         },
 *     },
 * });
 * ```
 * ### Vertex Ai Featureonlinestore With Optimized
 *
 * ```typescript
 * import * as pulumi from "@pulumi/pulumi";
 * import * as gcp from "@pulumi/gcp";
 *
 * const project = gcp.organizations.getProject({});
 * const featureonlinestore = new gcp.vertex.AiFeatureOnlineStore("featureonlinestore", {
 *     name: "example_feature_online_store_optimized",
 *     labels: {
 *         foo: "bar",
 *     },
 *     region: "us-central1",
 *     optimized: {},
 *     dedicatedServingEndpoint: {
 *         privateServiceConnectConfig: {
 *             enablePrivateServiceConnect: true,
 *             projectAllowlists: [project.then(project => project.number)],
 *         },
 *     },
 * });
 * ```
 * ### Vertex Ai Featureonlinestore With Beta Fields Bigtable
 *
 * ```typescript
 * import * as pulumi from "@pulumi/pulumi";
 * import * as gcp from "@pulumi/gcp";
 *
 * const featureonlinestore = new gcp.vertex.AiFeatureOnlineStore("featureonlinestore", {
 *     name: "example_feature_online_store_beta_bigtable",
 *     labels: {
 *         foo: "bar",
 *     },
 *     region: "us-central1",
 *     bigtable: {
 *         autoScaling: {
 *             minNodeCount: 1,
 *             maxNodeCount: 2,
 *             cpuUtilizationTarget: 80,
 *         },
 *     },
 *     embeddingManagement: {
 *         enabled: true,
 *     },
 *     forceDestroy: true,
 * });
 * const project = gcp.organizations.getProject({});
 * ```
 *
 * ## Import
 *
 * FeatureOnlineStore can be imported using any of these accepted formats:
 *
 * * `projects/{{project}}/locations/{{region}}/featureOnlineStores/{{name}}`
 *
 * * `{{project}}/{{region}}/{{name}}`
 *
 * * `{{region}}/{{name}}`
 *
 * * `{{name}}`
 *
 * When using the `pulumi import` command, FeatureOnlineStore can be imported using one of the formats above. For example:
 *
 * ```sh
 * $ pulumi import gcp:vertex/aiFeatureOnlineStore:AiFeatureOnlineStore default projects/{{project}}/locations/{{region}}/featureOnlineStores/{{name}}
 * ```
 *
 * ```sh
 * $ pulumi import gcp:vertex/aiFeatureOnlineStore:AiFeatureOnlineStore default {{project}}/{{region}}/{{name}}
 * ```
 *
 * ```sh
 * $ pulumi import gcp:vertex/aiFeatureOnlineStore:AiFeatureOnlineStore default {{region}}/{{name}}
 * ```
 *
 * ```sh
 * $ pulumi import gcp:vertex/aiFeatureOnlineStore:AiFeatureOnlineStore default {{name}}
 * ```
 */
class AiFeatureOnlineStore extends pulumi.CustomResource {
    /**
     * Get an existing AiFeatureOnlineStore 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 AiFeatureOnlineStore(name, state, { ...opts, id: id });
    }
    /**
     * Returns true if the given object is an instance of AiFeatureOnlineStore.  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'] === AiFeatureOnlineStore.__pulumiType;
    }
    constructor(name, argsOrState, opts) {
        let resourceInputs = {};
        opts = opts || {};
        if (opts.id) {
            const state = argsOrState;
            resourceInputs["bigtable"] = state?.bigtable;
            resourceInputs["createTime"] = state?.createTime;
            resourceInputs["dedicatedServingEndpoint"] = state?.dedicatedServingEndpoint;
            resourceInputs["effectiveLabels"] = state?.effectiveLabels;
            resourceInputs["embeddingManagement"] = state?.embeddingManagement;
            resourceInputs["etag"] = state?.etag;
            resourceInputs["forceDestroy"] = state?.forceDestroy;
            resourceInputs["labels"] = state?.labels;
            resourceInputs["name"] = state?.name;
            resourceInputs["optimized"] = state?.optimized;
            resourceInputs["project"] = state?.project;
            resourceInputs["pulumiLabels"] = state?.pulumiLabels;
            resourceInputs["region"] = state?.region;
            resourceInputs["state"] = state?.state;
            resourceInputs["updateTime"] = state?.updateTime;
        }
        else {
            const args = argsOrState;
            resourceInputs["bigtable"] = args?.bigtable;
            resourceInputs["dedicatedServingEndpoint"] = args?.dedicatedServingEndpoint;
            resourceInputs["embeddingManagement"] = args?.embeddingManagement;
            resourceInputs["forceDestroy"] = args?.forceDestroy;
            resourceInputs["labels"] = args?.labels;
            resourceInputs["name"] = args?.name;
            resourceInputs["optimized"] = args?.optimized;
            resourceInputs["project"] = args?.project;
            resourceInputs["region"] = args?.region;
            resourceInputs["createTime"] = undefined /*out*/;
            resourceInputs["effectiveLabels"] = undefined /*out*/;
            resourceInputs["etag"] = undefined /*out*/;
            resourceInputs["pulumiLabels"] = undefined /*out*/;
            resourceInputs["state"] = undefined /*out*/;
            resourceInputs["updateTime"] = undefined /*out*/;
        }
        opts = pulumi.mergeOptions(utilities.resourceOptsDefaults(), opts);
        const secretOpts = { additionalSecretOutputs: ["effectiveLabels", "pulumiLabels"] };
        opts = pulumi.mergeOptions(opts, secretOpts);
        super(AiFeatureOnlineStore.__pulumiType, name, resourceInputs, opts);
    }
}
exports.AiFeatureOnlineStore = AiFeatureOnlineStore;
/** @internal */
AiFeatureOnlineStore.__pulumiType = 'gcp:vertex/aiFeatureOnlineStore:AiFeatureOnlineStore';
//# sourceMappingURL=aiFeatureOnlineStore.js.map