@pulumi/gcp
Version:
A Pulumi package for creating and managing Google Cloud Platform resources.
185 lines • 7.09 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.AiFeatureStoreEntityType = void 0;
const pulumi = require("@pulumi/pulumi");
const utilities = require("../utilities");
/**
* An entity type is a type of object in a system that needs to be modeled and have stored information about. For example, driver is an entity type, and driver0 is an instance of an entity type driver.
*
* To get more information about FeaturestoreEntitytype, see:
*
* * [API documentation](https://cloud.google.com/vertex-ai/docs/reference/rest/v1/projects.locations.featurestores.entityTypes)
* * How-to Guides
* * [Official Documentation](https://cloud.google.com/vertex-ai/docs)
*
* ## Example Usage
*
* ### Vertex Ai Featurestore Entitytype
*
* ```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,
* },
* encryptionSpec: {
* kmsKeyName: "kms-name",
* },
* });
* const entity = new gcp.vertex.AiFeatureStoreEntityType("entity", {
* name: "terraform",
* labels: {
* foo: "bar",
* },
* description: "test description",
* featurestore: featurestore.id,
* monitoringConfig: {
* snapshotAnalysis: {
* disabled: false,
* monitoringIntervalDays: 1,
* stalenessDays: 21,
* },
* numericalThresholdConfig: {
* value: 0.8,
* },
* categoricalThresholdConfig: {
* value: 10,
* },
* importFeaturesAnalysis: {
* state: "ENABLED",
* anomalyDetectionBaseline: "PREVIOUS_IMPORT_FEATURES_STATS",
* },
* },
* });
* ```
* ### Vertex Ai Featurestore Entitytype 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,
* },
* encryptionSpec: {
* kmsKeyName: "kms-name",
* },
* });
* 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,
* },
* },
* offlineStorageTtlDays: 30,
* });
* ```
*
* ## Import
*
* FeaturestoreEntitytype can be imported using any of these accepted formats:
*
* * `{{featurestore}}/entityTypes/{{name}}`
*
* When using the `pulumi import` command, FeaturestoreEntitytype can be imported using one of the formats above. For example:
*
* ```sh
* $ pulumi import gcp:vertex/aiFeatureStoreEntityType:AiFeatureStoreEntityType default {{featurestore}}/entityTypes/{{name}}
* ```
*/
class AiFeatureStoreEntityType extends pulumi.CustomResource {
/**
* Get an existing AiFeatureStoreEntityType 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 AiFeatureStoreEntityType(name, state, { ...opts, id: id });
}
/**
* Returns true if the given object is an instance of AiFeatureStoreEntityType. 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'] === AiFeatureStoreEntityType.__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["etag"] = state?.etag;
resourceInputs["featurestore"] = state?.featurestore;
resourceInputs["labels"] = state?.labels;
resourceInputs["monitoringConfig"] = state?.monitoringConfig;
resourceInputs["name"] = state?.name;
resourceInputs["offlineStorageTtlDays"] = state?.offlineStorageTtlDays;
resourceInputs["pulumiLabels"] = state?.pulumiLabels;
resourceInputs["region"] = state?.region;
resourceInputs["updateTime"] = state?.updateTime;
}
else {
const args = argsOrState;
if (args?.featurestore === undefined && !opts.urn) {
throw new Error("Missing required property 'featurestore'");
}
resourceInputs["description"] = args?.description;
resourceInputs["featurestore"] = args?.featurestore;
resourceInputs["labels"] = args?.labels;
resourceInputs["monitoringConfig"] = args?.monitoringConfig;
resourceInputs["name"] = args?.name;
resourceInputs["offlineStorageTtlDays"] = args?.offlineStorageTtlDays;
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(AiFeatureStoreEntityType.__pulumiType, name, resourceInputs, opts);
}
}
exports.AiFeatureStoreEntityType = AiFeatureStoreEntityType;
/** @internal */
AiFeatureStoreEntityType.__pulumiType = 'gcp:vertex/aiFeatureStoreEntityType:AiFeatureStoreEntityType';
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