Struct FeatureRegistryService 

pub struct FeatureRegistryService { /* private fields */ }

Available on crate feature feature-registry-service only.

Implements a client for the Vertex AI API.

Example

use google_cloud_gax::paginator::ItemPaginator as _;
    let client = FeatureRegistryService::builder().build().await?;
    let parent = "parent_value";
    let mut list = client.list_feature_groups()
        .set_parent(parent)
        .by_item();
    while let Some(item) = list.next().await.transpose()? {
        println!("{:?}", item);
    }

Service Description

The service that handles CRUD and List for resources for FeatureRegistry.

Configuration

To configure FeatureRegistryService use the with_* methods in the type returned by builder(). The default configuration should work for most applications. Common configuration changes include

• with_endpoint(): by default this client uses the global default endpoint (https://aiplatform.googleapis.com). Applications using regional endpoints or running in restricted networks (e.g. a network configured override this default.
• with_credentials(): by default this client uses Application Default Credentials. Applications using custom authentication may need to override this default.

Pooling and Cloning

FeatureRegistryService holds a connection pool internally, it is advised to create one and reuse it. You do not need to wrap FeatureRegistryService in an Rc or Arc to reuse it, because it already uses an Arc internally.

Implementations

impl FeatureRegistryService

pub fn builder() -> ClientBuilder

Returns a builder for FeatureRegistryService.

let client = FeatureRegistryService::builder().build().await?;

pub fn from_stub<T>(stub: T) -> Self

where T: FeatureRegistryService + 'static,

Creates a new client from the provided stub.

The most common case for calling this function is in tests mocking the client’s behavior.

pub fn create_feature_group(&self) -> CreateFeatureGroup

Creates a new FeatureGroup in a given project and location.

Long running operations

This method is used to start, and/or poll a long-running Operation. The Working with long-running operations chapter in the user guide covers these operations in detail.

Example

use google_cloud_lro::Poller;
use google_cloud_aiplatform_v1::model::FeatureGroup;
use google_cloud_aiplatform_v1::Result;
async fn sample(
   client: &FeatureRegistryService, parent: &str
) -> Result<()> {
    let response = client.create_feature_group()
        .set_parent(parent)
        .set_feature_group(
            FeatureGroup::new()/* set fields */
        )
        .poller().until_done().await?;
    println!("response {:?}", response);
    Ok(())
}

pub fn get_feature_group(&self) -> GetFeatureGroup

Gets details of a single FeatureGroup.

Example

use google_cloud_aiplatform_v1::Result;
async fn sample(
   client: &FeatureRegistryService, name: &str
) -> Result<()> {
    let response = client.get_feature_group()
        .set_name(name)
        .send().await?;
    println!("response {:?}", response);
    Ok(())
}

pub fn list_feature_groups(&self) -> ListFeatureGroups

Lists FeatureGroups in a given project and location.

Example

use google_cloud_gax::paginator::ItemPaginator as _;
use google_cloud_aiplatform_v1::Result;
async fn sample(
   client: &FeatureRegistryService, parent: &str
) -> Result<()> {
    let mut list = client.list_feature_groups()
        .set_parent(parent)
        .by_item();
    while let Some(item) = list.next().await.transpose()? {
        println!("{:?}", item);
    }
    Ok(())
}

pub fn update_feature_group(&self) -> UpdateFeatureGroup

Updates the parameters of a single FeatureGroup.

Long running operations

This method is used to start, and/or poll a long-running Operation. The Working with long-running operations chapter in the user guide covers these operations in detail.

Example

use google_cloud_lro::Poller;
use google_cloud_wkt::FieldMask;
use google_cloud_aiplatform_v1::model::FeatureGroup;
use google_cloud_aiplatform_v1::Result;
async fn sample(
   client: &FeatureRegistryService, name: &str
) -> Result<()> {
    let response = client.update_feature_group()
        .set_feature_group(
            FeatureGroup::new().set_name(name)/* set fields */
        )
        .set_update_mask(FieldMask::default().set_paths(["updated.field.path1", "updated.field.path2"]))
        .poller().until_done().await?;
    println!("response {:?}", response);
    Ok(())
}

pub fn delete_feature_group(&self) -> DeleteFeatureGroup

Deletes a single FeatureGroup.

Long running operations

This method is used to start, and/or poll a long-running Operation. The Working with long-running operations chapter in the user guide covers these operations in detail.

Example

use google_cloud_lro::Poller;
use google_cloud_aiplatform_v1::Result;
async fn sample(
   client: &FeatureRegistryService, name: &str
) -> Result<()> {
    client.delete_feature_group()
        .set_name(name)
        .poller().until_done().await?;
    Ok(())
}

pub fn create_feature(&self) -> CreateFeature

Creates a new Feature in a given FeatureGroup.

Long running operations

This method is used to start, and/or poll a long-running Operation. The Working with long-running operations chapter in the user guide covers these operations in detail.

Example

use google_cloud_lro::Poller;
use google_cloud_aiplatform_v1::model::Feature;
use google_cloud_aiplatform_v1::Result;
async fn sample(
   client: &FeatureRegistryService, parent: &str
) -> Result<()> {
    let response = client.create_feature()
        .set_parent(parent)
        .set_feature_id("feature_id_value")
        .set_feature(
            Feature::new()/* set fields */
        )
        .poller().until_done().await?;
    println!("response {:?}", response);
    Ok(())
}

pub fn batch_create_features(&self) -> BatchCreateFeatures

Creates a batch of Features in a given FeatureGroup.

Long running operations

This method is used to start, and/or poll a long-running Operation. The Working with long-running operations chapter in the user guide covers these operations in detail.

Example

use google_cloud_lro::Poller;
use google_cloud_aiplatform_v1::Result;
async fn sample(
   client: &FeatureRegistryService
) -> Result<()> {
    let response = client.batch_create_features()
        /* set fields */
        .poller().until_done().await?;
    println!("response {:?}", response);
    Ok(())
}

pub fn get_feature(&self) -> GetFeature

Gets details of a single Feature.

Example

use google_cloud_aiplatform_v1::Result;
async fn sample(
   client: &FeatureRegistryService, name: &str
) -> Result<()> {
    let response = client.get_feature()
        .set_name(name)
        .send().await?;
    println!("response {:?}", response);
    Ok(())
}

pub fn list_features(&self) -> ListFeatures

Lists Features in a given FeatureGroup.

Example

use google_cloud_gax::paginator::ItemPaginator as _;
use google_cloud_aiplatform_v1::Result;
async fn sample(
   client: &FeatureRegistryService, parent: &str
) -> Result<()> {
    let mut list = client.list_features()
        .set_parent(parent)
        .by_item();
    while let Some(item) = list.next().await.transpose()? {
        println!("{:?}", item);
    }
    Ok(())
}

pub fn update_feature(&self) -> UpdateFeature

Updates the parameters of a single Feature.

Long running operations

This method is used to start, and/or poll a long-running Operation. The Working with long-running operations chapter in the user guide covers these operations in detail.

Example

use google_cloud_lro::Poller;
use google_cloud_wkt::FieldMask;
use google_cloud_aiplatform_v1::model::Feature;
use google_cloud_aiplatform_v1::Result;
async fn sample(
   client: &FeatureRegistryService, name: &str
) -> Result<()> {
    let response = client.update_feature()
        .set_feature(
            Feature::new().set_name(name)/* set fields */
        )
        .set_update_mask(FieldMask::default().set_paths(["updated.field.path1", "updated.field.path2"]))
        .poller().until_done().await?;
    println!("response {:?}", response);
    Ok(())
}

pub fn delete_feature(&self) -> DeleteFeature

Deletes a single Feature.

Long running operations

This method is used to start, and/or poll a long-running Operation. The Working with long-running operations chapter in the user guide covers these operations in detail.

Example

use google_cloud_lro::Poller;
use google_cloud_aiplatform_v1::Result;
async fn sample(
   client: &FeatureRegistryService, name: &str
) -> Result<()> {
    client.delete_feature()
        .set_name(name)
        .poller().until_done().await?;
    Ok(())
}

pub fn list_locations(&self) -> ListLocations

Lists information about the supported locations for this service.

Example

use google_cloud_gax::paginator::ItemPaginator as _;
use google_cloud_aiplatform_v1::Result;
async fn sample(
   client: &FeatureRegistryService
) -> Result<()> {
    let mut list = client.list_locations()
        /* set fields */
        .by_item();
    while let Some(item) = list.next().await.transpose()? {
        println!("{:?}", item);
    }
    Ok(())
}

pub fn get_location(&self) -> GetLocation

Gets information about a location.

Example

use google_cloud_aiplatform_v1::Result;
async fn sample(
   client: &FeatureRegistryService
) -> Result<()> {
    let response = client.get_location()
        /* set fields */
        .send().await?;
    println!("response {:?}", response);
    Ok(())
}

pub fn set_iam_policy(&self) -> SetIamPolicy

Sets the access control policy on the specified resource. Replaces any existing policy.

Can return NOT_FOUND, INVALID_ARGUMENT, and PERMISSION_DENIED errors.

Example

use google_cloud_aiplatform_v1::Result;
async fn sample(
   client: &FeatureRegistryService
) -> Result<()> {
    let response = client.set_iam_policy()
        /* set fields */
        .send().await?;
    println!("response {:?}", response);
    Ok(())
}

pub fn get_iam_policy(&self) -> GetIamPolicy

Gets the access control policy for a resource. Returns an empty policy if the resource exists and does not have a policy set.

Example

use google_cloud_aiplatform_v1::Result;
async fn sample(
   client: &FeatureRegistryService
) -> Result<()> {
    let response = client.get_iam_policy()
        /* set fields */
        .send().await?;
    println!("response {:?}", response);
    Ok(())
}

pub fn test_iam_permissions(&self) -> TestIamPermissions

Returns permissions that a caller has on the specified resource. If the resource does not exist, this will return an empty set of permissions, not a NOT_FOUND error.

Note: This operation is designed to be used for building permission-aware UIs and command-line tools, not for authorization checking. This operation may “fail open” without warning.

Example

use google_cloud_aiplatform_v1::Result;
async fn sample(
   client: &FeatureRegistryService
) -> Result<()> {
    let response = client.test_iam_permissions()
        /* set fields */
        .send().await?;
    println!("response {:?}", response);
    Ok(())
}

pub fn list_operations(&self) -> ListOperations

Provides the Operations service functionality in this service.

Example

use google_cloud_gax::paginator::ItemPaginator as _;
use google_cloud_aiplatform_v1::Result;
async fn sample(
   client: &FeatureRegistryService
) -> Result<()> {
    let mut list = client.list_operations()
        /* set fields */
        .by_item();
    while let Some(item) = list.next().await.transpose()? {
        println!("{:?}", item);
    }
    Ok(())
}

pub fn get_operation(&self) -> GetOperation

Provides the Operations service functionality in this service.

Example

use google_cloud_aiplatform_v1::Result;
async fn sample(
   client: &FeatureRegistryService
) -> Result<()> {
    let response = client.get_operation()
        /* set fields */
        .send().await?;
    println!("response {:?}", response);
    Ok(())
}

pub fn delete_operation(&self) -> DeleteOperation

Provides the Operations service functionality in this service.

Example

use google_cloud_aiplatform_v1::Result;
async fn sample(
   client: &FeatureRegistryService
) -> Result<()> {
    client.delete_operation()
        /* set fields */
        .send().await?;
    Ok(())
}

pub fn cancel_operation(&self) -> CancelOperation

Provides the Operations service functionality in this service.

Example

use google_cloud_aiplatform_v1::Result;
async fn sample(
   client: &FeatureRegistryService
) -> Result<()> {
    client.cancel_operation()
        /* set fields */
        .send().await?;
    Ok(())
}

pub fn wait_operation(&self) -> WaitOperation

Provides the Operations service functionality in this service.

Example

use google_cloud_aiplatform_v1::Result;
async fn sample(
   client: &FeatureRegistryService
) -> Result<()> {
    let response = client.wait_operation()
        /* set fields */
        .send().await?;
    println!("response {:?}", response);
    Ok(())
}

Trait Implementations

impl Clone for FeatureRegistryService

fn clone(&self) -> FeatureRegistryService

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for FeatureRegistryService

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.