"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.AiFeatureStoreIamPolicy = void 0;
const pulumi = require("@pulumi/pulumi");
const utilities = require("../utilities");
/**
 * Three different resources help you manage your IAM policy for Vertex AI Featurestore. Each of these resources serves a different use case:
 *
 * * `gcp.vertex.AiFeatureStoreIamPolicy`: Authoritative. Sets the IAM policy for the featurestore and replaces any existing policy already attached.
 * * `gcp.vertex.AiFeatureStoreIamBinding`: Authoritative for a given role. Updates the IAM policy to grant a role to a list of members. Other roles within the IAM policy for the featurestore are preserved.
 * * `gcp.vertex.AiFeatureStoreIamMember`: Non-authoritative. Updates the IAM policy to grant a role to a new member. Other members for the role for the featurestore are preserved.
 *
 * A data source can be used to retrieve policy data in advent you do not need creation
 *
 * * `gcp.vertex.AiFeatureStoreIamPolicy`: Retrieves the IAM policy for the featurestore
 *
 * > **Note:** `gcp.vertex.AiFeatureStoreIamPolicy` **cannot** be used in conjunction with `gcp.vertex.AiFeatureStoreIamBinding` and `gcp.vertex.AiFeatureStoreIamMember` or they will fight over what your policy should be.
 *
 * > **Note:** `gcp.vertex.AiFeatureStoreIamBinding` resources **can be** used in conjunction with `gcp.vertex.AiFeatureStoreIamMember` resources **only if** they do not grant privilege to the same role.
 *
 * ## gcp.vertex.AiFeatureStoreIamPolicy
 *
 * ```typescript
 * import * as pulumi from "@pulumi/pulumi";
 * import * as gcp from "@pulumi/gcp";
 *
 * const admin = gcp.organizations.getIAMPolicy({
 *     bindings: [{
 *         role: "roles/viewer",
 *         members: ["user:jane@example.com"],
 *     }],
 * });
 * const policy = new gcp.vertex.AiFeatureStoreIamPolicy("policy", {
 *     project: featurestore.project,
 *     region: featurestore.region,
 *     featurestore: featurestore.name,
 *     policyData: admin.then(admin => admin.policyData),
 * });
 * ```
 *
 * ## gcp.vertex.AiFeatureStoreIamBinding
 *
 * ```typescript
 * import * as pulumi from "@pulumi/pulumi";
 * import * as gcp from "@pulumi/gcp";
 *
 * const binding = new gcp.vertex.AiFeatureStoreIamBinding("binding", {
 *     project: featurestore.project,
 *     region: featurestore.region,
 *     featurestore: featurestore.name,
 *     role: "roles/viewer",
 *     members: ["user:jane@example.com"],
 * });
 * ```
 *
 * ## gcp.vertex.AiFeatureStoreIamMember
 *
 * ```typescript
 * import * as pulumi from "@pulumi/pulumi";
 * import * as gcp from "@pulumi/gcp";
 *
 * const member = new gcp.vertex.AiFeatureStoreIamMember("member", {
 *     project: featurestore.project,
 *     region: featurestore.region,
 *     featurestore: featurestore.name,
 *     role: "roles/viewer",
 *     member: "user:jane@example.com",
 * });
 * ```
 *
 * ## This resource supports User Project Overrides.
 *
 * -
 *
 * # IAM policy for Vertex AI Featurestore
 *
 * Three different resources help you manage your IAM policy for Vertex AI Featurestore. Each of these resources serves a different use case:
 *
 * * `gcp.vertex.AiFeatureStoreIamPolicy`: Authoritative. Sets the IAM policy for the featurestore and replaces any existing policy already attached.
 * * `gcp.vertex.AiFeatureStoreIamBinding`: Authoritative for a given role. Updates the IAM policy to grant a role to a list of members. Other roles within the IAM policy for the featurestore are preserved.
 * * `gcp.vertex.AiFeatureStoreIamMember`: Non-authoritative. Updates the IAM policy to grant a role to a new member. Other members for the role for the featurestore are preserved.
 *
 * A data source can be used to retrieve policy data in advent you do not need creation
 *
 * * `gcp.vertex.AiFeatureStoreIamPolicy`: Retrieves the IAM policy for the featurestore
 *
 * > **Note:** `gcp.vertex.AiFeatureStoreIamPolicy` **cannot** be used in conjunction with `gcp.vertex.AiFeatureStoreIamBinding` and `gcp.vertex.AiFeatureStoreIamMember` or they will fight over what your policy should be.
 *
 * > **Note:** `gcp.vertex.AiFeatureStoreIamBinding` resources **can be** used in conjunction with `gcp.vertex.AiFeatureStoreIamMember` resources **only if** they do not grant privilege to the same role.
 *
 * ## gcp.vertex.AiFeatureStoreIamPolicy
 *
 * ```typescript
 * import * as pulumi from "@pulumi/pulumi";
 * import * as gcp from "@pulumi/gcp";
 *
 * const admin = gcp.organizations.getIAMPolicy({
 *     bindings: [{
 *         role: "roles/viewer",
 *         members: ["user:jane@example.com"],
 *     }],
 * });
 * const policy = new gcp.vertex.AiFeatureStoreIamPolicy("policy", {
 *     project: featurestore.project,
 *     region: featurestore.region,
 *     featurestore: featurestore.name,
 *     policyData: admin.then(admin => admin.policyData),
 * });
 * ```
 *
 * ## gcp.vertex.AiFeatureStoreIamBinding
 *
 * ```typescript
 * import * as pulumi from "@pulumi/pulumi";
 * import * as gcp from "@pulumi/gcp";
 *
 * const binding = new gcp.vertex.AiFeatureStoreIamBinding("binding", {
 *     project: featurestore.project,
 *     region: featurestore.region,
 *     featurestore: featurestore.name,
 *     role: "roles/viewer",
 *     members: ["user:jane@example.com"],
 * });
 * ```
 *
 * ## gcp.vertex.AiFeatureStoreIamMember
 *
 * ```typescript
 * import * as pulumi from "@pulumi/pulumi";
 * import * as gcp from "@pulumi/gcp";
 *
 * const member = new gcp.vertex.AiFeatureStoreIamMember("member", {
 *     project: featurestore.project,
 *     region: featurestore.region,
 *     featurestore: featurestore.name,
 *     role: "roles/viewer",
 *     member: "user:jane@example.com",
 * });
 * ```
 *
 * ## Import
 *
 * For all import syntaxes, the "resource in question" can take any of the following forms:
 *
 * * projects/{{project}}/locations/{{region}}/featurestores/{{name}}
 *
 * * {{project}}/{{region}}/{{name}}
 *
 * * {{region}}/{{name}}
 *
 * * {{name}}
 *
 * Any variables not passed in the import command will be taken from the provider configuration.
 *
 * Vertex AI featurestore IAM resources can be imported using the resource identifiers, role, and member.
 *
 * IAM member imports use space-delimited identifiers: the resource in question, the role, and the member identity, e.g.
 *
 * ```sh
 * $ pulumi import gcp:vertex/aiFeatureStoreIamPolicy:AiFeatureStoreIamPolicy editor "projects/{{project}}/locations/{{region}}/featurestores/{{featurestore}} roles/viewer user:jane@example.com"
 * ```
 *
 * IAM binding imports use space-delimited identifiers: the resource in question and the role, e.g.
 *
 * ```sh
 * $ pulumi import gcp:vertex/aiFeatureStoreIamPolicy:AiFeatureStoreIamPolicy editor "projects/{{project}}/locations/{{region}}/featurestores/{{featurestore}} roles/viewer"
 * ```
 *
 * IAM policy imports use the identifier of the resource in question, e.g.
 *
 * ```sh
 * $ pulumi import gcp:vertex/aiFeatureStoreIamPolicy:AiFeatureStoreIamPolicy editor projects/{{project}}/locations/{{region}}/featurestores/{{featurestore}}
 * ```
 *
 * -> **Custom Roles** If you're importing a IAM resource with a custom role, make sure to use the
 *
 *  full name of the custom role, e.g. `[projects/my-project|organizations/my-org]/roles/my-custom-role`.
 */
class AiFeatureStoreIamPolicy extends pulumi.CustomResource {
    /**
     * Get an existing AiFeatureStoreIamPolicy 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 AiFeatureStoreIamPolicy(name, state, { ...opts, id: id });
    }
    /**
     * Returns true if the given object is an instance of AiFeatureStoreIamPolicy.  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'] === AiFeatureStoreIamPolicy.__pulumiType;
    }
    constructor(name, argsOrState, opts) {
        let resourceInputs = {};
        opts = opts || {};
        if (opts.id) {
            const state = argsOrState;
            resourceInputs["etag"] = state?.etag;
            resourceInputs["featurestore"] = state?.featurestore;
            resourceInputs["policyData"] = state?.policyData;
            resourceInputs["project"] = state?.project;
            resourceInputs["region"] = state?.region;
        }
        else {
            const args = argsOrState;
            if (args?.featurestore === undefined && !opts.urn) {
                throw new Error("Missing required property 'featurestore'");
            }
            if (args?.policyData === undefined && !opts.urn) {
                throw new Error("Missing required property 'policyData'");
            }
            resourceInputs["featurestore"] = args?.featurestore;
            resourceInputs["policyData"] = args?.policyData;
            resourceInputs["project"] = args?.project;
            resourceInputs["region"] = args?.region;
            resourceInputs["etag"] = undefined /*out*/;
        }
        opts = pulumi.mergeOptions(utilities.resourceOptsDefaults(), opts);
        super(AiFeatureStoreIamPolicy.__pulumiType, name, resourceInputs, opts);
    }
}
exports.AiFeatureStoreIamPolicy = AiFeatureStoreIamPolicy;
/** @internal */
AiFeatureStoreIamPolicy.__pulumiType = 'gcp:vertex/aiFeatureStoreIamPolicy:AiFeatureStoreIamPolicy';
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