@pulumi/gcp
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A Pulumi package for creating and managing Google Cloud Platform resources.
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JavaScript
;
// *** 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.AiFeatureStoreIamMember = 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/aiFeatureStoreIamMember:AiFeatureStoreIamMember 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/aiFeatureStoreIamMember:AiFeatureStoreIamMember 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/aiFeatureStoreIamMember:AiFeatureStoreIamMember 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 AiFeatureStoreIamMember extends pulumi.CustomResource {
/**
* Get an existing AiFeatureStoreIamMember 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 AiFeatureStoreIamMember(name, state, { ...opts, id: id });
}
/**
* Returns true if the given object is an instance of AiFeatureStoreIamMember. 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'] === AiFeatureStoreIamMember.__pulumiType;
}
constructor(name, argsOrState, opts) {
let resourceInputs = {};
opts = opts || {};
if (opts.id) {
const state = argsOrState;
resourceInputs["condition"] = state?.condition;
resourceInputs["etag"] = state?.etag;
resourceInputs["featurestore"] = state?.featurestore;
resourceInputs["member"] = state?.member;
resourceInputs["project"] = state?.project;
resourceInputs["region"] = state?.region;
resourceInputs["role"] = state?.role;
}
else {
const args = argsOrState;
if (args?.featurestore === undefined && !opts.urn) {
throw new Error("Missing required property 'featurestore'");
}
if (args?.member === undefined && !opts.urn) {
throw new Error("Missing required property 'member'");
}
if (args?.role === undefined && !opts.urn) {
throw new Error("Missing required property 'role'");
}
resourceInputs["condition"] = args?.condition;
resourceInputs["featurestore"] = args?.featurestore;
resourceInputs["member"] = args?.member;
resourceInputs["project"] = args?.project;
resourceInputs["region"] = args?.region;
resourceInputs["role"] = args?.role;
resourceInputs["etag"] = undefined /*out*/;
}
opts = pulumi.mergeOptions(utilities.resourceOptsDefaults(), opts);
super(AiFeatureStoreIamMember.__pulumiType, name, resourceInputs, opts);
}
}
exports.AiFeatureStoreIamMember = AiFeatureStoreIamMember;
/** @internal */
AiFeatureStoreIamMember.__pulumiType = 'gcp:vertex/aiFeatureStoreIamMember:AiFeatureStoreIamMember';
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