@pulumi/gcp
Version:
A Pulumi package for creating and managing Google Cloud Platform resources.
177 lines • 6.86 kB
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.AiFeatureStoreEntityTypeFeature = void 0;
const pulumi = require("@pulumi/pulumi");
const utilities = require("../utilities");
/**
* Feature Metadata information that describes an attribute of an entity type. For example, apple is an entity type, and color is a feature that describes apple.
*
* To get more information about FeaturestoreEntitytypeFeature, see:
*
* * [API documentation](https://cloud.google.com/vertex-ai/docs/reference/rest/v1/projects.locations.featurestores.entityTypes.features)
* * How-to Guides
* * [Official Documentation](https://cloud.google.com/vertex-ai/docs)
*
* ## Example Usage
*
* ### Vertex Ai Featurestore Entitytype Feature
*
* ```typescript
* import * as pulumi from "@pulumi/pulumi";
* import * as gcp from "@pulumi/gcp";
*
* const featurestore = new gcp.vertex.AiFeatureStore("featurestore", {
* name: "terraform",
* labels: {
* foo: "bar",
* },
* region: "us-central1",
* onlineServingConfig: {
* fixedNodeCount: 2,
* },
* });
* const entity = new gcp.vertex.AiFeatureStoreEntityType("entity", {
* name: "terraform",
* labels: {
* foo: "bar",
* },
* featurestore: featurestore.id,
* });
* const feature = new gcp.vertex.AiFeatureStoreEntityTypeFeature("feature", {
* name: "terraform",
* labels: {
* foo: "bar",
* },
* entitytype: entity.id,
* valueType: "INT64_ARRAY",
* });
* ```
* ### Vertex Ai Featurestore Entitytype Feature With Beta Fields
*
* ```typescript
* import * as pulumi from "@pulumi/pulumi";
* import * as gcp from "@pulumi/gcp";
*
* const featurestore = new gcp.vertex.AiFeatureStore("featurestore", {
* name: "terraform2",
* labels: {
* foo: "bar",
* },
* region: "us-central1",
* onlineServingConfig: {
* fixedNodeCount: 2,
* },
* });
* const entity = new gcp.vertex.AiFeatureStoreEntityType("entity", {
* name: "terraform2",
* labels: {
* foo: "bar",
* },
* featurestore: featurestore.id,
* monitoringConfig: {
* snapshotAnalysis: {
* disabled: false,
* monitoringInterval: "86400s",
* },
* categoricalThresholdConfig: {
* value: 0.3,
* },
* numericalThresholdConfig: {
* value: 0.3,
* },
* },
* });
* const feature = new gcp.vertex.AiFeatureStoreEntityTypeFeature("feature", {
* name: "terraform2",
* labels: {
* foo: "bar",
* },
* entitytype: entity.id,
* valueType: "INT64_ARRAY",
* });
* ```
*
* ## Import
*
* FeaturestoreEntitytypeFeature can be imported using any of these accepted formats:
*
* * `{{entitytype}}/features/{{name}}`
*
* When using the `pulumi import` command, FeaturestoreEntitytypeFeature can be imported using one of the formats above. For example:
*
* ```sh
* $ pulumi import gcp:vertex/aiFeatureStoreEntityTypeFeature:AiFeatureStoreEntityTypeFeature default {{entitytype}}/features/{{name}}
* ```
*/
class AiFeatureStoreEntityTypeFeature extends pulumi.CustomResource {
/**
* Get an existing AiFeatureStoreEntityTypeFeature 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 AiFeatureStoreEntityTypeFeature(name, state, { ...opts, id: id });
}
/**
* Returns true if the given object is an instance of AiFeatureStoreEntityTypeFeature. 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'] === AiFeatureStoreEntityTypeFeature.__pulumiType;
}
constructor(name, argsOrState, opts) {
let resourceInputs = {};
opts = opts || {};
if (opts.id) {
const state = argsOrState;
resourceInputs["createTime"] = state?.createTime;
resourceInputs["description"] = state?.description;
resourceInputs["effectiveLabels"] = state?.effectiveLabels;
resourceInputs["entitytype"] = state?.entitytype;
resourceInputs["etag"] = state?.etag;
resourceInputs["labels"] = state?.labels;
resourceInputs["name"] = state?.name;
resourceInputs["pulumiLabels"] = state?.pulumiLabels;
resourceInputs["region"] = state?.region;
resourceInputs["updateTime"] = state?.updateTime;
resourceInputs["valueType"] = state?.valueType;
}
else {
const args = argsOrState;
if (args?.entitytype === undefined && !opts.urn) {
throw new Error("Missing required property 'entitytype'");
}
if (args?.valueType === undefined && !opts.urn) {
throw new Error("Missing required property 'valueType'");
}
resourceInputs["description"] = args?.description;
resourceInputs["entitytype"] = args?.entitytype;
resourceInputs["labels"] = args?.labels;
resourceInputs["name"] = args?.name;
resourceInputs["valueType"] = args?.valueType;
resourceInputs["createTime"] = undefined /*out*/;
resourceInputs["effectiveLabels"] = undefined /*out*/;
resourceInputs["etag"] = undefined /*out*/;
resourceInputs["pulumiLabels"] = undefined /*out*/;
resourceInputs["region"] = undefined /*out*/;
resourceInputs["updateTime"] = undefined /*out*/;
}
opts = pulumi.mergeOptions(utilities.resourceOptsDefaults(), opts);
const secretOpts = { additionalSecretOutputs: ["effectiveLabels", "pulumiLabels"] };
opts = pulumi.mergeOptions(opts, secretOpts);
super(AiFeatureStoreEntityTypeFeature.__pulumiType, name, resourceInputs, opts);
}
}
exports.AiFeatureStoreEntityTypeFeature = AiFeatureStoreEntityTypeFeature;
/** @internal */
AiFeatureStoreEntityTypeFeature.__pulumiType = 'gcp:vertex/aiFeatureStoreEntityTypeFeature:AiFeatureStoreEntityTypeFeature';
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