import * as pulumi from "@pulumi/pulumi"; import * as inputs from "../types/input"; import * as outputs from "../types/output"; /** * Vertex AI Search recommendation apps. * * To get more information about RecommendationEngine, see: * * * [API documentation](https://cloud.google.com/generative-ai-app-builder/docs/reference/rest/v1/projects.locations.collections.engines) * * How-to Guides * * [Create a Recommendation Engine](https://cloud.google.com/generative-ai-app-builder/docs/create-generic-recommendations-app) * * ## Example Usage * * ### Discoveryengine Recommendationengine Generic * * ```typescript * import * as pulumi from "@pulumi/pulumi"; * import * as gcp from "@pulumi/gcp"; * * const generic = new gcp.discoveryengine.DataStore("generic", { * location: "global", * dataStoreId: "recommendation-datastore-id", * displayName: "tf-test-structured-datastore", * industryVertical: "GENERIC", * contentConfig: "NO_CONTENT", * solutionTypes: ["SOLUTION_TYPE_RECOMMENDATION"], * createAdvancedSiteSearch: false, * skipDefaultSchemaCreation: false, * }); * const genericRecommendationEngine = new gcp.discoveryengine.RecommendationEngine("generic", { * engineId: "recommendation-engine-id", * location: generic.location, * displayName: "Example Recommendation Engine", * dataStoreIds: [generic.dataStoreId], * industryVertical: "GENERIC", * commonConfig: { * companyName: "test-company", * }, * }); * ``` * ### Discoveryengine Recommendationengine Media * * ```typescript * import * as pulumi from "@pulumi/pulumi"; * import * as gcp from "@pulumi/gcp"; * * const media = new gcp.discoveryengine.DataStore("media", { * location: "global", * dataStoreId: "recommendation-datastore-id", * displayName: "tf-test-structured-datastore", * industryVertical: "MEDIA", * contentConfig: "NO_CONTENT", * solutionTypes: ["SOLUTION_TYPE_RECOMMENDATION"], * createAdvancedSiteSearch: false, * skipDefaultSchemaCreation: false, * }); * const mediaRecommendationEngine = new gcp.discoveryengine.RecommendationEngine("media", { * engineId: "recommendation-engine-id", * location: media.location, * displayName: "Example Media Recommendation Engine", * dataStoreIds: [media.dataStoreId], * industryVertical: "MEDIA", * mediaRecommendationEngineConfig: { * type: "recommended-for-you", * optimizationObjective: "ctr", * trainingState: "PAUSED", * engineFeaturesConfig: { * recommendedForYouConfig: { * contextEventType: "generic", * }, * }, * }, * commonConfig: { * companyName: "test-company", * }, * }); * ``` * * ## Import * * RecommendationEngine can be imported using any of these accepted formats: * * * `projects/{{project}}/locations/{{location}}/collections/default_collection/engines/{{engine_id}}` * * * `{{project}}/{{location}}/{{engine_id}}` * * * `{{location}}/{{engine_id}}` * * When using the `pulumi import` command, RecommendationEngine can be imported using one of the formats above. For example: * * ```sh * $ pulumi import gcp:discoveryengine/recommendationEngine:RecommendationEngine default projects/{{project}}/locations/{{location}}/collections/default_collection/engines/{{engine_id}} * ``` * * ```sh * $ pulumi import gcp:discoveryengine/recommendationEngine:RecommendationEngine default {{project}}/{{location}}/{{engine_id}} * ``` * * ```sh * $ pulumi import gcp:discoveryengine/recommendationEngine:RecommendationEngine default {{location}}/{{engine_id}} * ``` */ export declare class RecommendationEngine extends pulumi.CustomResource { /** * Get an existing RecommendationEngine 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, state?: RecommendationEngineState, opts?: pulumi.CustomResourceOptions): RecommendationEngine; /** * Returns true if the given object is an instance of RecommendationEngine. 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 RecommendationEngine; /** * Common config spec that specifies the metadata of the engine. * Structure is documented below. */ readonly commonConfig: pulumi.Output; /** * Timestamp the Engine was created at. */ readonly createTime: pulumi.Output; /** * The data stores associated with this engine. For SOLUTION_TYPE_RECOMMENDATION type of engines, they can only associate with at most one data store. */ readonly dataStoreIds: pulumi.Output; /** * Required. The display name of the engine. Should be human readable. UTF-8 encoded string with limit of 1024 characters. */ readonly displayName: pulumi.Output; /** * Unique ID to use for Recommendation Engine. */ readonly engineId: pulumi.Output; /** * The industry vertical that the engine registers. The restriction of the Engine industry vertical is based on DataStore: If unspecified, default to GENERIC. Vertical on Engine has to match vertical of the DataStore liniked to the engine. * Default value is `GENERIC`. * Possible values are: `GENERIC`, `MEDIA`. */ readonly industryVertical: pulumi.Output; /** * The geographic location where the data store should reside. The value can * only be one of "global", "us" and "eu". */ readonly location: pulumi.Output; /** * Configurations for a Media Recommendation Engine. Only applicable on the data stores * with SOLUTION_TYPE_RECOMMENDATION solution type and MEDIA industry vertical. * Structure is documented below. */ readonly mediaRecommendationEngineConfig: pulumi.Output; /** * The unique full resource name of the recommendation engine. Values are of the format * `projects/{project}/locations/{location}/collections/{collection}/engines/{engine_id}`. * This field must be a UTF-8 encoded string with a length limit of 1024 characters. */ readonly name: pulumi.Output; /** * The ID of the project in which the resource belongs. * If it is not provided, the provider project is used. */ readonly project: pulumi.Output; /** * Timestamp the Engine was last updated. */ readonly updateTime: pulumi.Output; /** * Create a RecommendationEngine 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: RecommendationEngineArgs, opts?: pulumi.CustomResourceOptions); } /** * Input properties used for looking up and filtering RecommendationEngine resources. */ export interface RecommendationEngineState { /** * Common config spec that specifies the metadata of the engine. * Structure is documented below. */ commonConfig?: pulumi.Input; /** * Timestamp the Engine was created at. */ createTime?: pulumi.Input; /** * The data stores associated with this engine. For SOLUTION_TYPE_RECOMMENDATION type of engines, they can only associate with at most one data store. */ dataStoreIds?: pulumi.Input[]>; /** * Required. The display name of the engine. Should be human readable. UTF-8 encoded string with limit of 1024 characters. */ displayName?: pulumi.Input; /** * Unique ID to use for Recommendation Engine. */ engineId?: pulumi.Input; /** * The industry vertical that the engine registers. The restriction of the Engine industry vertical is based on DataStore: If unspecified, default to GENERIC. Vertical on Engine has to match vertical of the DataStore liniked to the engine. * Default value is `GENERIC`. * Possible values are: `GENERIC`, `MEDIA`. */ industryVertical?: pulumi.Input; /** * The geographic location where the data store should reside. The value can * only be one of "global", "us" and "eu". */ location?: pulumi.Input; /** * Configurations for a Media Recommendation Engine. Only applicable on the data stores * with SOLUTION_TYPE_RECOMMENDATION solution type and MEDIA industry vertical. * Structure is documented below. */ mediaRecommendationEngineConfig?: pulumi.Input; /** * The unique full resource name of the recommendation engine. Values are of the format * `projects/{project}/locations/{location}/collections/{collection}/engines/{engine_id}`. * This field must be a UTF-8 encoded string with a length limit of 1024 characters. */ name?: pulumi.Input; /** * The ID of the project in which the resource belongs. * If it is not provided, the provider project is used. */ project?: pulumi.Input; /** * Timestamp the Engine was last updated. */ updateTime?: pulumi.Input; } /** * The set of arguments for constructing a RecommendationEngine resource. */ export interface RecommendationEngineArgs { /** * Common config spec that specifies the metadata of the engine. * Structure is documented below. */ commonConfig?: pulumi.Input; /** * The data stores associated with this engine. For SOLUTION_TYPE_RECOMMENDATION type of engines, they can only associate with at most one data store. */ dataStoreIds: pulumi.Input[]>; /** * Required. The display name of the engine. Should be human readable. UTF-8 encoded string with limit of 1024 characters. */ displayName: pulumi.Input; /** * Unique ID to use for Recommendation Engine. */ engineId: pulumi.Input; /** * The industry vertical that the engine registers. The restriction of the Engine industry vertical is based on DataStore: If unspecified, default to GENERIC. Vertical on Engine has to match vertical of the DataStore liniked to the engine. * Default value is `GENERIC`. * Possible values are: `GENERIC`, `MEDIA`. */ industryVertical?: pulumi.Input; /** * The geographic location where the data store should reside. The value can * only be one of "global", "us" and "eu". */ location: pulumi.Input; /** * Configurations for a Media Recommendation Engine. Only applicable on the data stores * with SOLUTION_TYPE_RECOMMENDATION solution type and MEDIA industry vertical. * Structure is documented below. */ mediaRecommendationEngineConfig?: pulumi.Input; /** * The ID of the project in which the resource belongs. * If it is not provided, the provider project is used. */ project?: pulumi.Input; }