"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.AiIndexEndpointDeployedIndex = void 0;
const pulumi = require("@pulumi/pulumi");
const utilities = require("../utilities");
/**
 * An endpoint indexes are deployed into. An index endpoint can have multiple deployed indexes.
 *
 * To get more information about IndexEndpointDeployedIndex, see:
 *
 * * [API documentation](https://cloud.google.com/vertex-ai/docs/reference/rest/v1/projects.locations.indexEndpoints#DeployedIndex)
 *
 * ## Example Usage
 *
 * ### Vertex Ai Index Endpoint Deployed Index Basic
 *
 * ```typescript
 * import * as pulumi from "@pulumi/pulumi";
 * import * as gcp from "@pulumi/gcp";
 *
 * const bucket = new gcp.storage.Bucket("bucket", {
 *     name: "bucket-name",
 *     location: "us-central1",
 *     uniformBucketLevelAccess: true,
 * });
 * const index = new gcp.vertex.AiIndex("index", {
 *     region: "us-central1",
 *     displayName: "test-index",
 *     description: "index for test",
 *     indexUpdateMethod: "BATCH_UPDATE",
 *     labels: {
 *         foo: "bar",
 *     },
 *     metadata: {
 *         contentsDeltaUri: pulumi.interpolate`gs://${bucket.name}/contents`,
 *         config: {
 *             dimensions: 2,
 *             approximateNeighborsCount: 150,
 *             shardSize: "SHARD_SIZE_SMALL",
 *             distanceMeasureType: "DOT_PRODUCT_DISTANCE",
 *             algorithmConfig: {
 *                 treeAhConfig: {
 *                     leafNodeEmbeddingCount: 500,
 *                     leafNodesToSearchPercent: 7,
 *                 },
 *             },
 *         },
 *     },
 * });
 * const vertexNetwork = gcp.compute.getNetwork({
 *     name: "network-name",
 * });
 * const project = gcp.organizations.getProject({});
 * const vertexIndexEndpointDeployed = new gcp.vertex.AiIndexEndpoint("vertex_index_endpoint_deployed", {
 *     displayName: "sample-endpoint",
 *     description: "A sample vertex endpoint",
 *     region: "us-central1",
 *     network: Promise.all([project, vertexNetwork]).then(([project, vertexNetwork]) => `projects/${project.number}/global/networks/${vertexNetwork.name}`),
 *     labels: {
 *         "label-one": "value-one",
 *     },
 * });
 * const sa = new gcp.serviceaccount.Account("sa", {accountId: "vertex-sa"});
 * const basicDeployedIndex = new gcp.vertex.AiIndexEndpointDeployedIndex("basic_deployed_index", {
 *     deployedIndexId: "deployed_index_id",
 *     displayName: "vertex-deployed-index",
 *     region: "us-central1",
 *     index: index.id,
 *     indexEndpoint: vertexIndexEndpointDeployed.id,
 *     enableAccessLogging: false,
 *     reservedIpRanges: ["vertex-ai-range"],
 *     deployedIndexAuthConfig: {
 *         authProvider: {
 *             audiences: ["123456-my-app"],
 *             allowedIssuers: [sa.email],
 *         },
 *     },
 * });
 * // The sample data comes from the following link:
 * // https://cloud.google.com/vertex-ai/docs/matching-engine/filtering#specify-namespaces-tokens
 * const data = new gcp.storage.BucketObject("data", {
 *     name: "contents/data.json",
 *     bucket: bucket.name,
 *     content: `{"id": "42", "embedding": [0.5, 1.0], "restricts": [{"namespace": "class", "allow": ["cat", "pet"]},{"namespace": "category", "allow": ["feline"]}]}
 * {"id": "43", "embedding": [0.6, 1.0], "restricts": [{"namespace": "class", "allow": ["dog", "pet"]},{"namespace": "category", "allow": ["canine"]}]}
 * `,
 * });
 * ```
 * ### Vertex Ai Index Endpoint Deployed Index Basic Two
 *
 * ```typescript
 * import * as pulumi from "@pulumi/pulumi";
 * import * as gcp from "@pulumi/gcp";
 *
 * const sa = new gcp.serviceaccount.Account("sa", {accountId: "vertex-sa"});
 * const bucket = new gcp.storage.Bucket("bucket", {
 *     name: "bucket-name",
 *     location: "us-central1",
 *     uniformBucketLevelAccess: true,
 * });
 * const index = new gcp.vertex.AiIndex("index", {
 *     region: "us-central1",
 *     displayName: "test-index",
 *     description: "index for test",
 *     indexUpdateMethod: "BATCH_UPDATE",
 *     labels: {
 *         foo: "bar",
 *     },
 *     metadata: {
 *         contentsDeltaUri: pulumi.interpolate`gs://${bucket.name}/contents`,
 *         config: {
 *             dimensions: 2,
 *             approximateNeighborsCount: 150,
 *             shardSize: "SHARD_SIZE_SMALL",
 *             distanceMeasureType: "DOT_PRODUCT_DISTANCE",
 *             algorithmConfig: {
 *                 treeAhConfig: {
 *                     leafNodeEmbeddingCount: 500,
 *                     leafNodesToSearchPercent: 7,
 *                 },
 *             },
 *         },
 *     },
 * });
 * const vertexNetwork = gcp.compute.getNetwork({
 *     name: "network-name",
 * });
 * const project = gcp.organizations.getProject({});
 * const vertexIndexEndpointDeployed = new gcp.vertex.AiIndexEndpoint("vertex_index_endpoint_deployed", {
 *     displayName: "sample-endpoint",
 *     description: "A sample vertex endpoint",
 *     region: "us-central1",
 *     network: Promise.all([project, vertexNetwork]).then(([project, vertexNetwork]) => `projects/${project.number}/global/networks/${vertexNetwork.name}`),
 *     labels: {
 *         "label-one": "value-one",
 *     },
 * });
 * const basicDeployedIndex = new gcp.vertex.AiIndexEndpointDeployedIndex("basic_deployed_index", {
 *     deployedIndexId: "deployed_index_id",
 *     displayName: "vertex-deployed-index",
 *     region: "us-central1",
 *     index: index.id,
 *     indexEndpoint: vertexIndexEndpointDeployed.id,
 *     reservedIpRanges: ["vertex-ai-range"],
 *     enableAccessLogging: false,
 *     deployedIndexAuthConfig: {
 *         authProvider: {
 *             audiences: ["123456-my-app"],
 *             allowedIssuers: [sa.email],
 *         },
 *     },
 *     automaticResources: {
 *         maxReplicaCount: 4,
 *     },
 * });
 * // The sample data comes from the following link:
 * // https://cloud.google.com/vertex-ai/docs/matching-engine/filtering#specify-namespaces-tokens
 * const data = new gcp.storage.BucketObject("data", {
 *     name: "contents/data.json",
 *     bucket: bucket.name,
 *     content: `{"id": "42", "embedding": [0.5, 1.0], "restricts": [{"namespace": "class", "allow": ["cat", "pet"]},{"namespace": "category", "allow": ["feline"]}]}
 * {"id": "43", "embedding": [0.6, 1.0], "restricts": [{"namespace": "class", "allow": ["dog", "pet"]},{"namespace": "category", "allow": ["canine"]}]}
 * `,
 * });
 * ```
 *
 * ## Import
 *
 * IndexEndpointDeployedIndex can be imported using any of these accepted formats:
 *
 * * `projects/{{project}}/locations/{{region}}/indexEndpoints/{{index_endpoint}}/deployedIndex/{{deployed_index_id}}`
 *
 * * `{{project}}/{{region}}/{{index_endpoint}}/{{deployed_index_id}}`
 *
 * * `{{region}}/{{index_endpoint}}/{{deployed_index_id}}`
 *
 * * `{{index_endpoint}}/{{deployed_index_id}}`
 *
 * When using the `pulumi import` command, IndexEndpointDeployedIndex can be imported using one of the formats above. For example:
 *
 * ```sh
 * $ pulumi import gcp:vertex/aiIndexEndpointDeployedIndex:AiIndexEndpointDeployedIndex default projects/{{project}}/locations/{{region}}/indexEndpoints/{{index_endpoint}}/deployedIndex/{{deployed_index_id}}
 * ```
 *
 * ```sh
 * $ pulumi import gcp:vertex/aiIndexEndpointDeployedIndex:AiIndexEndpointDeployedIndex default {{project}}/{{region}}/{{index_endpoint}}/{{deployed_index_id}}
 * ```
 *
 * ```sh
 * $ pulumi import gcp:vertex/aiIndexEndpointDeployedIndex:AiIndexEndpointDeployedIndex default {{region}}/{{index_endpoint}}/{{deployed_index_id}}
 * ```
 *
 * ```sh
 * $ pulumi import gcp:vertex/aiIndexEndpointDeployedIndex:AiIndexEndpointDeployedIndex default {{index_endpoint}}/{{deployed_index_id}}
 * ```
 */
class AiIndexEndpointDeployedIndex extends pulumi.CustomResource {
    /**
     * Get an existing AiIndexEndpointDeployedIndex 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 AiIndexEndpointDeployedIndex(name, state, { ...opts, id: id });
    }
    /**
     * Returns true if the given object is an instance of AiIndexEndpointDeployedIndex.  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'] === AiIndexEndpointDeployedIndex.__pulumiType;
    }
    constructor(name, argsOrState, opts) {
        let resourceInputs = {};
        opts = opts || {};
        if (opts.id) {
            const state = argsOrState;
            resourceInputs["automaticResources"] = state?.automaticResources;
            resourceInputs["createTime"] = state?.createTime;
            resourceInputs["dedicatedResources"] = state?.dedicatedResources;
            resourceInputs["deployedIndexAuthConfig"] = state?.deployedIndexAuthConfig;
            resourceInputs["deployedIndexId"] = state?.deployedIndexId;
            resourceInputs["deploymentGroup"] = state?.deploymentGroup;
            resourceInputs["displayName"] = state?.displayName;
            resourceInputs["enableAccessLogging"] = state?.enableAccessLogging;
            resourceInputs["index"] = state?.index;
            resourceInputs["indexEndpoint"] = state?.indexEndpoint;
            resourceInputs["indexSyncTime"] = state?.indexSyncTime;
            resourceInputs["name"] = state?.name;
            resourceInputs["privateEndpoints"] = state?.privateEndpoints;
            resourceInputs["region"] = state?.region;
            resourceInputs["reservedIpRanges"] = state?.reservedIpRanges;
        }
        else {
            const args = argsOrState;
            if (args?.deployedIndexId === undefined && !opts.urn) {
                throw new Error("Missing required property 'deployedIndexId'");
            }
            if (args?.index === undefined && !opts.urn) {
                throw new Error("Missing required property 'index'");
            }
            if (args?.indexEndpoint === undefined && !opts.urn) {
                throw new Error("Missing required property 'indexEndpoint'");
            }
            resourceInputs["automaticResources"] = args?.automaticResources;
            resourceInputs["dedicatedResources"] = args?.dedicatedResources;
            resourceInputs["deployedIndexAuthConfig"] = args?.deployedIndexAuthConfig;
            resourceInputs["deployedIndexId"] = args?.deployedIndexId;
            resourceInputs["deploymentGroup"] = args?.deploymentGroup;
            resourceInputs["displayName"] = args?.displayName;
            resourceInputs["enableAccessLogging"] = args?.enableAccessLogging;
            resourceInputs["index"] = args?.index;
            resourceInputs["indexEndpoint"] = args?.indexEndpoint;
            resourceInputs["region"] = args?.region;
            resourceInputs["reservedIpRanges"] = args?.reservedIpRanges;
            resourceInputs["createTime"] = undefined /*out*/;
            resourceInputs["indexSyncTime"] = undefined /*out*/;
            resourceInputs["name"] = undefined /*out*/;
            resourceInputs["privateEndpoints"] = undefined /*out*/;
        }
        opts = pulumi.mergeOptions(utilities.resourceOptsDefaults(), opts);
        super(AiIndexEndpointDeployedIndex.__pulumiType, name, resourceInputs, opts);
    }
}
exports.AiIndexEndpointDeployedIndex = AiIndexEndpointDeployedIndex;
/** @internal */
AiIndexEndpointDeployedIndex.__pulumiType = 'gcp:vertex/aiIndexEndpointDeployedIndex:AiIndexEndpointDeployedIndex';
//# sourceMappingURL=aiIndexEndpointDeployedIndex.js.map