@pulumi/gcp/vertex/aiFeatureStoreEntityTypeIamPolicy.d.ts

A Pulumi package for creating and managing Google Cloud Platform resources.

import * as pulumi from "@pulumi/pulumi";
/**
 * Three different resources help you manage your IAM policy for Vertex AI FeaturestoreEntitytype. Each of these resources serves a different use case:
 *
 * * `gcp.vertex.AiFeatureStoreEntityTypeIamPolicy`: Authoritative. Sets the IAM policy for the featurestoreentitytype and replaces any existing policy already attached.
 * * `gcp.vertex.AiFeatureStoreEntityTypeIamBinding`: 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 featurestoreentitytype are preserved.
 * * `gcp.vertex.AiFeatureStoreEntityTypeIamMember`: Non-authoritative. Updates the IAM policy to grant a role to a new member. Other members for the role for the featurestoreentitytype are preserved.
 *
 * A data source can be used to retrieve policy data in advent you do not need creation
 *
 * * `gcp.vertex.AiFeatureStoreEntityTypeIamPolicy`: Retrieves the IAM policy for the featurestoreentitytype
 *
 * > **Note:** `gcp.vertex.AiFeatureStoreEntityTypeIamPolicy` **cannot** be used in conjunction with `gcp.vertex.AiFeatureStoreEntityTypeIamBinding` and `gcp.vertex.AiFeatureStoreEntityTypeIamMember` or they will fight over what your policy should be.
 *
 * > **Note:** `gcp.vertex.AiFeatureStoreEntityTypeIamBinding` resources **can be** used in conjunction with `gcp.vertex.AiFeatureStoreEntityTypeIamMember` resources **only if** they do not grant privilege to the same role.
 *
 * > **Warning:** This resource is in beta, and should be used with the terraform-provider-google-beta provider.
 * See Provider Versions for more details on beta resources.
 *
 * ## gcp.vertex.AiFeatureStoreEntityTypeIamPolicy
 *
 * ```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.AiFeatureStoreEntityTypeIamPolicy("policy", {
 *     featurestore: entity.featurestore,
 *     entitytype: entity.name,
 *     policyData: admin.then(admin => admin.policyData),
 * });
 * ```
 *
 * ## gcp.vertex.AiFeatureStoreEntityTypeIamBinding
 *
 * ```typescript
 * import * as pulumi from "@pulumi/pulumi";
 * import * as gcp from "@pulumi/gcp";
 *
 * const binding = new gcp.vertex.AiFeatureStoreEntityTypeIamBinding("binding", {
 *     featurestore: entity.featurestore,
 *     entitytype: entity.name,
 *     role: "roles/viewer",
 *     members: ["user:jane@example.com"],
 * });
 * ```
 *
 * ## gcp.vertex.AiFeatureStoreEntityTypeIamMember
 *
 * ```typescript
 * import * as pulumi from "@pulumi/pulumi";
 * import * as gcp from "@pulumi/gcp";
 *
 * const member = new gcp.vertex.AiFeatureStoreEntityTypeIamMember("member", {
 *     featurestore: entity.featurestore,
 *     entitytype: entity.name,
 *     role: "roles/viewer",
 *     member: "user:jane@example.com",
 * });
 * ```
 *
 * ## > **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`.
 * ---
 *
 * # IAM policy for Vertex AI FeaturestoreEntitytype
 *
 * Three different resources help you manage your IAM policy for Vertex AI FeaturestoreEntitytype. Each of these resources serves a different use case:
 *
 * * `gcp.vertex.AiFeatureStoreEntityTypeIamPolicy`: Authoritative. Sets the IAM policy for the featurestoreentitytype and replaces any existing policy already attached.
 * * `gcp.vertex.AiFeatureStoreEntityTypeIamBinding`: 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 featurestoreentitytype are preserved.
 * * `gcp.vertex.AiFeatureStoreEntityTypeIamMember`: Non-authoritative. Updates the IAM policy to grant a role to a new member. Other members for the role for the featurestoreentitytype are preserved.
 *
 * A data source can be used to retrieve policy data in advent you do not need creation
 *
 * * `gcp.vertex.AiFeatureStoreEntityTypeIamPolicy`: Retrieves the IAM policy for the featurestoreentitytype
 *
 * > **Note:** `gcp.vertex.AiFeatureStoreEntityTypeIamPolicy` **cannot** be used in conjunction with `gcp.vertex.AiFeatureStoreEntityTypeIamBinding` and `gcp.vertex.AiFeatureStoreEntityTypeIamMember` or they will fight over what your policy should be.
 *
 * > **Note:** `gcp.vertex.AiFeatureStoreEntityTypeIamBinding` resources **can be** used in conjunction with `gcp.vertex.AiFeatureStoreEntityTypeIamMember` resources **only if** they do not grant privilege to the same role.
 *
 * > **Warning:** This resource is in beta, and should be used with the terraform-provider-google-beta provider.
 * See Provider Versions for more details on beta resources.
 *
 * ## gcp.vertex.AiFeatureStoreEntityTypeIamPolicy
 *
 * ```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.AiFeatureStoreEntityTypeIamPolicy("policy", {
 *     featurestore: entity.featurestore,
 *     entitytype: entity.name,
 *     policyData: admin.then(admin => admin.policyData),
 * });
 * ```
 *
 * ## gcp.vertex.AiFeatureStoreEntityTypeIamBinding
 *
 * ```typescript
 * import * as pulumi from "@pulumi/pulumi";
 * import * as gcp from "@pulumi/gcp";
 *
 * const binding = new gcp.vertex.AiFeatureStoreEntityTypeIamBinding("binding", {
 *     featurestore: entity.featurestore,
 *     entitytype: entity.name,
 *     role: "roles/viewer",
 *     members: ["user:jane@example.com"],
 * });
 * ```
 *
 * ## gcp.vertex.AiFeatureStoreEntityTypeIamMember
 *
 * ```typescript
 * import * as pulumi from "@pulumi/pulumi";
 * import * as gcp from "@pulumi/gcp";
 *
 * const member = new gcp.vertex.AiFeatureStoreEntityTypeIamMember("member", {
 *     featurestore: entity.featurestore,
 *     entitytype: entity.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:
 *
 * * {{featurestore}}/entityTypes/{{name}}
 * * {{name}}
 *
 * Any variables not passed in the import command will be taken from the provider configuration.
 *
 * Vertex AI featurestoreentitytype 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
 * $ terraform import google_vertex_ai_featurestore_entitytype_iam_member.editor "{{featurestore}}/entityTypes/{{featurestore_entitytype}} roles/viewer user:jane@example.com"
 * ```
 *
 * IAM binding imports use space-delimited identifiers: the resource in question and the role, e.g.
 * ```sh
 * $ terraform import google_vertex_ai_featurestore_entitytype_iam_binding.editor "{{featurestore}}/entityTypes/{{featurestore_entitytype}} roles/viewer"
 * ```
 *
 * IAM policy imports use the identifier of the resource in question, e.g.
 * ```sh
 * $ pulumi import gcp:vertex/aiFeatureStoreEntityTypeIamPolicy:AiFeatureStoreEntityTypeIamPolicy editor {{featurestore}}/entityTypes/{{featurestore_entitytype}}
 * ```
 *
 * > **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`.
 */
export declare class AiFeatureStoreEntityTypeIamPolicy extends pulumi.CustomResource {
    /**
     * Get an existing AiFeatureStoreEntityTypeIamPolicy 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?: AiFeatureStoreEntityTypeIamPolicyState, opts?: pulumi.CustomResourceOptions): AiFeatureStoreEntityTypeIamPolicy;
    /**
     * Returns true if the given object is an instance of AiFeatureStoreEntityTypeIamPolicy.  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 AiFeatureStoreEntityTypeIamPolicy;
    /**
     * Used to find the parent resource to bind the IAM policy to
     */
    readonly entitytype: pulumi.Output<string>;
    /**
     * (Computed) The etag of the IAM policy.
     */
    readonly etag: pulumi.Output<string>;
    /**
     * The name of the Featurestore to use, in the format projects/{project}/locations/{location}/featurestores/{featurestore}. Used to find the parent resource to bind the IAM policy to
     */
    readonly featurestore: pulumi.Output<string>;
    /**
     * The policy data generated by
     * a `gcp.organizations.getIAMPolicy` data source.
     */
    readonly policyData: pulumi.Output<string>;
    /**
     * Create a AiFeatureStoreEntityTypeIamPolicy 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: AiFeatureStoreEntityTypeIamPolicyArgs, opts?: pulumi.CustomResourceOptions);
}
/**
 * Input properties used for looking up and filtering AiFeatureStoreEntityTypeIamPolicy resources.
 */
export interface AiFeatureStoreEntityTypeIamPolicyState {
    /**
     * Used to find the parent resource to bind the IAM policy to
     */
    entitytype?: pulumi.Input<string | undefined>;
    /**
     * (Computed) The etag of the IAM policy.
     */
    etag?: pulumi.Input<string | undefined>;
    /**
     * The name of the Featurestore to use, in the format projects/{project}/locations/{location}/featurestores/{featurestore}. Used to find the parent resource to bind the IAM policy to
     */
    featurestore?: pulumi.Input<string | undefined>;
    /**
     * The policy data generated by
     * a `gcp.organizations.getIAMPolicy` data source.
     */
    policyData?: pulumi.Input<string | undefined>;
}
/**
 * The set of arguments for constructing a AiFeatureStoreEntityTypeIamPolicy resource.
 */
export interface AiFeatureStoreEntityTypeIamPolicyArgs {
    /**
     * Used to find the parent resource to bind the IAM policy to
     */
    entitytype: pulumi.Input<string>;
    /**
     * The name of the Featurestore to use, in the format projects/{project}/locations/{location}/featurestores/{featurestore}. Used to find the parent resource to bind the IAM policy to
     */
    featurestore: pulumi.Input<string>;
    /**
     * The policy data generated by
     * a `gcp.organizations.getIAMPolicy` data source.
     */
    policyData: pulumi.Input<string>;
}
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