Class FeatureRegistryServiceAsyncClient (1.36.3)

FeatureRegistryServiceAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Union[str, google.cloud.aiplatform_v1beta1.services.feature_registry_service.transports.base.FeatureRegistryServiceTransport] = 'grpc_asyncio', client_options: typing.Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)

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

Properties

transport

Returns the transport used by the client instance.

Returns
Type	Description
`FeatureRegistryServiceTransport`	The transport used by the client instance.

Methods

FeatureRegistryServiceAsyncClient

FeatureRegistryServiceAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Union[str, google.cloud.aiplatform_v1beta1.services.feature_registry_service.transports.base.FeatureRegistryServiceTransport] = 'grpc_asyncio', client_options: typing.Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)

Instantiates the feature registry service client.

Parameters
Name	Description
`credentials`	`Optional[google.auth.credentials.Credentials]` The authorization credentials to attach to requests. These credentials identify the application to the service; if none are specified, the client will attempt to ascertain the credentials from the environment.
`transport`	`Union[str, .FeatureRegistryServiceTransport]` The transport to use. If set to None, a transport is chosen automatically.
`client_options`	`ClientOptions` Custom options for the client. It won't take effect if a `transport` instance is provided. (1) The `api_endpoint` property can be used to override the default endpoint provided by the client. GOOGLE_API_USE_MTLS_ENDPOINT environment variable can also be used to override the endpoint: "always" (always use the default mTLS endpoint), "never" (always use the default regular endpoint) and "auto" (auto switch to the default mTLS endpoint if client certificate is present, this is the default value). However, the `api_endpoint` property takes precedence if provided. (2) If GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is "true", then the `client_cert_source` property can be used to provide client certificate for mutual TLS transport. If not provided, the default SSL client certificate will be used if present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not set, no client certificate will be used.

Exceptions
Type	Description
`google.auth.exceptions.MutualTlsChannelError`	If mutual TLS transport creation failed for any reason.

cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Union[
        google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

The server makes a best effort to cancel the operation, but success is not guaranteed. If the server doesn't support this method, it returns google.rpc.Code.UNIMPLEMENTED.

Parameters
Name	Description
`request`	`.operations_pb2.CancelOperationRequest` The request object. Request message for `CancelOperation` method.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

create_feature

create_feature(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.featurestore_service.CreateFeatureRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    feature: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.feature.Feature
    ] = None,
    feature_id: typing.Optional[str] = None,
    retry: typing.Union[
        google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Creates a new Feature in a given FeatureGroup.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import aiplatform_v1beta1

async def sample_create_feature():
    # Create a client
    client = aiplatform_v1beta1.FeatureRegistryServiceAsyncClient()

    # Initialize request argument(s)
    request = aiplatform_v1beta1.CreateFeatureRequest(
        parent="parent_value",
        feature_id="feature_id_value",
    )

    # Make the request
    operation = client.create_feature(request=request)

    print("Waiting for operation to complete...")

    response = (await operation).result()

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Optional[Union[google.cloud.aiplatform_v1beta1.types.CreateFeatureRequest, dict]]` The request object. Request message for FeaturestoreService.CreateFeature. Request message for FeatureRegistryService.CreateFeature.
`parent`	`str` Required. The resource name of the EntityType or FeatureGroup to create a Feature. Format for entity_type as parent: `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}` Format for feature_group as parent: `projects/{project}/locations/{location}/featureGroups/{feature_group}` This corresponds to the `parent` field on the `request` instance; if `request` is provided, this should not be set.
`feature`	`Feature` Required. The Feature to create. This corresponds to the `feature` field on the `request` instance; if `request` is provided, this should not be set.
`feature_id`	`str` Required. The ID to use for the Feature, which will become the final component of the Feature's resource name. This value may be up to 128 characters, and valid characters are `[a-z0-9_]`. The first character cannot be a number. The value must be unique within an EntityType/FeatureGroup. This corresponds to the `feature_id` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.api_core.operation_async.AsyncOperation`	An object representing a long-running operation. The result type for the operation will be Feature Feature Metadata information. For example, color is a feature that describes an apple.

create_feature_group

create_feature_group(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.feature_registry_service.CreateFeatureGroupRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    feature_group: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.feature_group.FeatureGroup
    ] = None,
    feature_group_id: typing.Optional[str] = None,
    retry: typing.Union[
        google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Creates a new FeatureGroup in a given project and location.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import aiplatform_v1beta1

async def sample_create_feature_group():
    # Create a client
    client = aiplatform_v1beta1.FeatureRegistryServiceAsyncClient()

    # Initialize request argument(s)
    feature_group = aiplatform_v1beta1.FeatureGroup()
    feature_group.big_query.big_query_source.input_uri = "input_uri_value"

    request = aiplatform_v1beta1.CreateFeatureGroupRequest(
        parent="parent_value",
        feature_group=feature_group,
        feature_group_id="feature_group_id_value",
    )

    # Make the request
    operation = client.create_feature_group(request=request)

    print("Waiting for operation to complete...")

    response = (await operation).result()

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Optional[Union[google.cloud.aiplatform_v1beta1.types.CreateFeatureGroupRequest, dict]]` The request object. Request message for FeatureRegistryService.CreateFeatureGroup.
`parent`	`str` Required. The resource name of the Location to create FeatureGroups. Format: `projects/{project}/locations/{location}'` This corresponds to the `parent` field on the `request` instance; if `request` is provided, this should not be set.
`feature_group`	`FeatureGroup` Required. The FeatureGroup to create. This corresponds to the `feature_group` field on the `request` instance; if `request` is provided, this should not be set.
`feature_group_id`	`str` Required. The ID to use for this FeatureGroup, which will become the final component of the FeatureGroup's resource name. This value may be up to 60 characters, and valid characters are `[a-z0-9_]`. The first character cannot be a number. The value must be unique within the project and location. This corresponds to the `feature_group_id` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.api_core.operation_async.AsyncOperation`	An object representing a long-running operation. The result type for the operation will be FeatureGroup Vertex AI Feature Group.

delete_feature

delete_feature(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.featurestore_service.DeleteFeatureRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Union[
        google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Deletes a single Feature.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import aiplatform_v1beta1

async def sample_delete_feature():
    # Create a client
    client = aiplatform_v1beta1.FeatureRegistryServiceAsyncClient()

    # Initialize request argument(s)
    request = aiplatform_v1beta1.DeleteFeatureRequest(
        name="name_value",
    )

    # Make the request
    operation = client.delete_feature(request=request)

    print("Waiting for operation to complete...")

    response = (await operation).result()

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Optional[Union[google.cloud.aiplatform_v1beta1.types.DeleteFeatureRequest, dict]]` The request object. Request message for FeaturestoreService.DeleteFeature. Request message for FeatureRegistryService.DeleteFeature.
`name`	`str` Required. The name of the Features to be deleted. Format: `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}/features/{feature}` `projects/{project}/locations/{location}/featureGroups/{feature_group}/features/{feature}` This corresponds to the `name` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns

Type Description

google.api_core.operation_async.AsyncOperation An object representing a long-running operation. The result type for the operation will be google.protobuf.empty_pb2.Empty A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); }

delete_feature_group

delete_feature_group(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.feature_registry_service.DeleteFeatureGroupRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    force: typing.Optional[bool] = None,
    retry: typing.Union[
        google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Deletes a single FeatureGroup.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import aiplatform_v1beta1

async def sample_delete_feature_group():
    # Create a client
    client = aiplatform_v1beta1.FeatureRegistryServiceAsyncClient()

    # Initialize request argument(s)
    request = aiplatform_v1beta1.DeleteFeatureGroupRequest(
        name="name_value",
    )

    # Make the request
    operation = client.delete_feature_group(request=request)

    print("Waiting for operation to complete...")

    response = (await operation).result()

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Optional[Union[google.cloud.aiplatform_v1beta1.types.DeleteFeatureGroupRequest, dict]]` The request object. Request message for FeatureRegistryService.DeleteFeatureGroup.
`name`	`str` Required. The name of the FeatureGroup to be deleted. Format: `projects/{project}/locations/{location}/featureGroups/{feature_group}` This corresponds to the `name` field on the `request` instance; if `request` is provided, this should not be set.
`force`	`bool` If set to true, any Features under this FeatureGroup will also be deleted. (Otherwise, the request will only work if the FeatureGroup has no Features.) This corresponds to the `force` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns

Type Description

delete_operation

delete_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.DeleteOperationRequest
    ] = None,
    *,
    retry: typing.Union[
        google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a long-running operation.

This method indicates that the client is no longer interested in the operation result. It does not cancel the operation. If the server doesn't support this method, it returns google.rpc.Code.UNIMPLEMENTED.

Parameters
Name	Description
`request`	`.operations_pb2.DeleteOperationRequest` The request object. Request message for `DeleteOperation` method.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

feature_group_path

feature_group_path(project: str, location: str, feature_group: str) -> str

Returns a fully-qualified feature_group string.

feature_path

feature_path(
    project: str, location: str, featurestore: str, entity_type: str, feature: str
) -> str

Returns a fully-qualified feature string.

from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

Parameter
Name	Description
`filename`	`str` The path to the service account private key json file.

Returns
Type	Description
`FeatureRegistryServiceAsyncClient`	The constructed client.

from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

Parameter
Name	Description
`info`	`dict` The service account private key info.

Returns
Type	Description
`FeatureRegistryServiceAsyncClient`	The constructed client.

from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

Parameter
Name	Description
`filename`	`str` The path to the service account private key json file.

Returns
Type	Description
`FeatureRegistryServiceAsyncClient`	The constructed client.

get_feature

get_feature(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.featurestore_service.GetFeatureRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Union[
        google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.feature.Feature

Gets details of a single Feature.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import aiplatform_v1beta1

async def sample_get_feature():
    # Create a client
    client = aiplatform_v1beta1.FeatureRegistryServiceAsyncClient()

    # Initialize request argument(s)
    request = aiplatform_v1beta1.GetFeatureRequest(
        name="name_value",
    )

    # Make the request
    response = await client.get_feature(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Optional[Union[google.cloud.aiplatform_v1beta1.types.GetFeatureRequest, dict]]` The request object. Request message for FeaturestoreService.GetFeature. Request message for FeatureRegistryService.GetFeature.
`name`	`str` Required. The name of the Feature resource. Format for entity_type as parent: `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}` Format for feature_group as parent: `projects/{project}/locations/{location}/featureGroups/{feature_group}` This corresponds to the `name` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.aiplatform_v1beta1.types.Feature`	Feature Metadata information. For example, color is a feature that describes an apple.

get_feature_group

get_feature_group(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.feature_registry_service.GetFeatureGroupRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Union[
        google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.aiplatform_v1beta1.types.feature_group.FeatureGroup

Gets details of a single FeatureGroup.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import aiplatform_v1beta1

async def sample_get_feature_group():
    # Create a client
    client = aiplatform_v1beta1.FeatureRegistryServiceAsyncClient()

    # Initialize request argument(s)
    request = aiplatform_v1beta1.GetFeatureGroupRequest(
        name="name_value",
    )

    # Make the request
    response = await client.get_feature_group(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Optional[Union[google.cloud.aiplatform_v1beta1.types.GetFeatureGroupRequest, dict]]` The request object. Request message for FeatureRegistryService.GetFeatureGroup.
`name`	`str` Required. The name of the FeatureGroup resource. This corresponds to the `name` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.aiplatform_v1beta1.types.FeatureGroup`	Vertex AI Feature Group.

get_iam_policy

get_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None,
    *,
    retry: typing.Union[
        google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the IAM access control policy for a function.

Returns an empty policy if the function exists and does not have a policy set.

Parameters
Name	Description
`request`	`.iam_policy_pb2.GetIamPolicyRequest` The request object. Request message for `GetIamPolicy` method.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns

Type Description

.policy_pb2.Policy Defines an Identity and Access Management (IAM) policy. It is used to specify access control policies for Cloud Platform resources. A Policy is a collection of bindings. A binding binds one or more members to a single role. Members can be user accounts, service accounts, Google groups, and domains (such as G Suite). A role is a named list of permissions (defined by IAM or configured by users). A binding can optionally specify a condition, which is a logic expression that further constrains the role binding based on attributes about the request and/or target resource. **JSON Example** :: { "bindings": [ { "role": "roles/resourcemanager.organizationAdmin", "members": [ "user:mike@example.com", "group:admins@example.com", "domain:google.com", "serviceAccount:my-project-id@appspot.gserviceaccount.com" ] }, { "role": "roles/resourcemanager.organizationViewer", "members": ["user:eve@example.com"], "condition": { "title": "expirable access", "description": "Does not grant access after Sep 2020", "expression": "request.time < timestamp('2020-10-01t00:00:00.000z')",="" }="" }="" ]="" }="" **yaml="" example**="" ::="" bindings:="" -="" members:="" -="" user:mike@example.com="" -="" group:admins@example.com="" -="" domain:google.com="" -="" serviceaccount:my-project-id@appspot.gserviceaccount.com="" role:="" roles/resourcemanager.organizationadmin="" -="" members:="" -="" user:eve@example.com="" role:="" roles/resourcemanager.organizationviewer="" condition:="" title:="" expirable="" access="" description:="" does="" not="" grant="" access="" after="" sep="" 2020="" expression:="" request.time="">< timestamp('2020-10-01t00:00:00.000z')="" for="" a="" description="" of="" iam="" and="" its="" features,="" see="" the="">IAM developer's guide __.

get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Union[
        google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

Parameters
Name	Description
`request`	`.location_pb2.GetLocationRequest` The request object. Request message for `GetLocation` method.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`.location_pb2.Location`	Location object.

get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Return the API endpoint and client cert source for mutual TLS.

The client cert source is determined in the following order: (1) if GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is not "true", the client cert source is None. (2) if client_options.client_cert_source is provided, use the provided one; if the default client cert source exists, use the default one; otherwise the client cert source is None.

The API endpoint is determined in the following order: (1) if client_options.api_endpoint if provided, use the provided one. (2) if GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is "always", use the default mTLS endpoint; if the environment variable is "never", use the default API endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise use the default API endpoint.

More details can be found at https://google.aip.dev/auth/4114.

Parameter
Name	Description
`client_options`	`google.api_core.client_options.ClientOptions` Custom options for the client. Only the `api_endpoint` and `client_cert_source` properties may be used in this method.

Exceptions
Type	Description
`google.auth.exceptions.MutualTLSChannelError`	If any errors happen.

Returns
Type	Description
`Tuple[str, Callable[[], Tuple[bytes, bytes]]]`	returns the API endpoint and the client cert source to use.

get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Union[
        google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

Parameters
Name	Description
`request`	`.operations_pb2.GetOperationRequest` The request object. Request message for `GetOperation` method.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`.operations_pb2.Operation`	An `Operation` object.

get_transport_class

get_transport_class() -> (
    typing.Type[
        google.cloud.aiplatform_v1beta1.services.feature_registry_service.transports.base.FeatureRegistryServiceTransport
    ]
)

Returns an appropriate transport class.

Parameter
Name	Description
`label`	`typing.Optional[str]` The name of the desired transport. If none is provided, then the first transport in the registry is used.

list_feature_groups

list_feature_groups(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.feature_registry_service.ListFeatureGroupsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Union[
        google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.feature_registry_service.pagers.ListFeatureGroupsAsyncPager
)

Lists FeatureGroups in a given project and location.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import aiplatform_v1beta1

async def sample_list_feature_groups():
    # Create a client
    client = aiplatform_v1beta1.FeatureRegistryServiceAsyncClient()

    # Initialize request argument(s)
    request = aiplatform_v1beta1.ListFeatureGroupsRequest(
        parent="parent_value",
    )

    # Make the request
    page_result = client.list_feature_groups(request=request)

    # Handle the response
    async for response in page_result:
        print(response)

Parameters
Name	Description
`request`	`Optional[Union[google.cloud.aiplatform_v1beta1.types.ListFeatureGroupsRequest, dict]]` The request object. Request message for FeatureRegistryService.ListFeatureGroups.
`parent`	`str` Required. The resource name of the Location to list FeatureGroups. Format: `projects/{project}/locations/{location}` This corresponds to the `parent` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.aiplatform_v1beta1.services.feature_registry_service.pagers.ListFeatureGroupsAsyncPager`	Response message for FeatureRegistryService.ListFeatureGroups. Iterating over this object will yield results and resolve additional pages automatically.

list_features

list_features(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.featurestore_service.ListFeaturesRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Union[
        google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.aiplatform_v1beta1.services.feature_registry_service.pagers.ListFeaturesAsyncPager
)

Lists Features in a given FeatureGroup.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import aiplatform_v1beta1

async def sample_list_features():
    # Create a client
    client = aiplatform_v1beta1.FeatureRegistryServiceAsyncClient()

    # Initialize request argument(s)
    request = aiplatform_v1beta1.ListFeaturesRequest(
        parent="parent_value",
    )

    # Make the request
    page_result = client.list_features(request=request)

    # Handle the response
    async for response in page_result:
        print(response)

Parameters
Name	Description
`request`	`Optional[Union[google.cloud.aiplatform_v1beta1.types.ListFeaturesRequest, dict]]` The request object. Request message for FeaturestoreService.ListFeatures. Request message for FeatureRegistryService.ListFeatures.
`parent`	`str` Required. The resource name of the Location to list Features. Format for entity_type as parent: `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}` Format for feature_group as parent: `projects/{project}/locations/{location}/featureGroups/{feature_group}` This corresponds to the `parent` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.aiplatform_v1beta1.services.feature_registry_service.pagers.ListFeaturesAsyncPager`	Response message for FeaturestoreService.ListFeatures. Response message for FeatureRegistryService.ListFeatures. Iterating over this object will yield results and resolve additional pages automatically.

list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Union[
        google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

Parameters
Name	Description
`request`	`.location_pb2.ListLocationsRequest` The request object. Request message for `ListLocations` method.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`.location_pb2.ListLocationsResponse`	Response message for `ListLocations` method.

list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Union[
        google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

Parameters
Name	Description
`request`	`.operations_pb2.ListOperationsRequest` The request object. Request message for `ListOperations` method.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`.operations_pb2.ListOperationsResponse`	Response message for `ListOperations` method.

parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

parse_feature_group_path

parse_feature_group_path(path: str) -> typing.Dict[str, str]

Parses a feature_group path into its component segments.

parse_feature_path

parse_feature_path(path: str) -> typing.Dict[str, str]

Parses a feature path into its component segments.

set_iam_policy

set_iam_policy(
    request: typing.Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None,
    *,
    retry: typing.Union[
        google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the IAM access control policy on the specified function.

Replaces any existing policy.

Parameters
Name	Description
`request`	`.iam_policy_pb2.SetIamPolicyRequest` The request object. Request message for `SetIamPolicy` method.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns

Type Description

test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest
    ] = None,
    *,
    retry: typing.Union[
        google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Tests the specified IAM permissions against the IAM access control policy for a function.

If the function does not exist, this will return an empty set of permissions, not a NOT_FOUND error.

Parameters
Name	Description
`request`	`.iam_policy_pb2.TestIamPermissionsRequest` The request object. Request message for `TestIamPermissions` method.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`.iam_policy_pb2.TestIamPermissionsResponse`	Response message for `TestIamPermissions` method.

update_feature

update_feature(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.featurestore_service.UpdateFeatureRequest,
            dict,
        ]
    ] = None,
    *,
    feature: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.feature.Feature
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Union[
        google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Updates the parameters of a single Feature.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import aiplatform_v1beta1

async def sample_update_feature():
    # Create a client
    client = aiplatform_v1beta1.FeatureRegistryServiceAsyncClient()

    # Initialize request argument(s)
    request = aiplatform_v1beta1.UpdateFeatureRequest(
    )

    # Make the request
    operation = client.update_feature(request=request)

    print("Waiting for operation to complete...")

    response = (await operation).result()

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Optional[Union[google.cloud.aiplatform_v1beta1.types.UpdateFeatureRequest, dict]]` The request object. Request message for FeaturestoreService.UpdateFeature. Request message for FeatureRegistryService.UpdateFeature.
`feature`	`Feature` Required. The Feature's `name` field is used to identify the Feature to be updated. Format: `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}/features/{feature}` `projects/{project}/locations/{location}/featureGroups/{feature_group}/features/{feature}` This corresponds to the `feature` field on the `request` instance; if `request` is provided, this should not be set.
`update_mask`	`google.protobuf.field_mask_pb2.FieldMask` Field mask is used to specify the fields to be overwritten in the Features resource by the update. The fields specified in the update_mask are relative to the resource, not the full request. A field will be overwritten if it is in the mask. If the user does not provide a mask then only the non-empty fields present in the request will be overwritten. Set the update_mask to `*` to override all fields. Updatable fields: - `description` - `labels` - `disable_monitoring` (Not supported for FeatureRegistry Feature) This corresponds to the `update_mask` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.api_core.operation_async.AsyncOperation`	An object representing a long-running operation. The result type for the operation will be Feature Feature Metadata information. For example, color is a feature that describes an apple.

update_feature_group

update_feature_group(
    request: typing.Optional[
        typing.Union[
            google.cloud.aiplatform_v1beta1.types.feature_registry_service.UpdateFeatureGroupRequest,
            dict,
        ]
    ] = None,
    *,
    feature_group: typing.Optional[
        google.cloud.aiplatform_v1beta1.types.feature_group.FeatureGroup
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Union[
        google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Updates the parameters of a single FeatureGroup.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import aiplatform_v1beta1

async def sample_update_feature_group():
    # Create a client
    client = aiplatform_v1beta1.FeatureRegistryServiceAsyncClient()

    # Initialize request argument(s)
    feature_group = aiplatform_v1beta1.FeatureGroup()
    feature_group.big_query.big_query_source.input_uri = "input_uri_value"

    request = aiplatform_v1beta1.UpdateFeatureGroupRequest(
        feature_group=feature_group,
    )

    # Make the request
    operation = client.update_feature_group(request=request)

    print("Waiting for operation to complete...")

    response = (await operation).result()

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Optional[Union[google.cloud.aiplatform_v1beta1.types.UpdateFeatureGroupRequest, dict]]` The request object. Request message for FeatureRegistryService.UpdateFeatureGroup.
`feature_group`	`FeatureGroup` Required. The FeatureGroup's `name` field is used to identify the FeatureGroup to be updated. Format: `projects/{project}/locations/{location}/featureGroups/{feature_group}` This corresponds to the `feature_group` field on the `request` instance; if `request` is provided, this should not be set.
`update_mask`	`google.protobuf.field_mask_pb2.FieldMask` Field mask is used to specify the fields to be overwritten in the FeatureGroup resource by the update. The fields specified in the update_mask are relative to the resource, not the full request. A field will be overwritten if it is in the mask. If the user does not provide a mask then only the non-empty fields present in the request will be overwritten. Set the update_mask to `*` to override all fields. Updatable fields: - `labels` This corresponds to the `update_mask` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.api_core.operation_async.AsyncOperation`	An object representing a long-running operation. The result type for the operation will be FeatureGroup Vertex AI Feature Group.

wait_operation

wait_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.WaitOperationRequest
    ] = None,
    *,
    retry: typing.Union[
        google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

If the operation is already done, the latest state is immediately returned. If the timeout specified is greater than the default HTTP/RPC timeout, the HTTP/RPC timeout is used. If the server does not support this method, it returns google.rpc.Code.UNIMPLEMENTED.

Parameters
Name	Description
`request`	`.operations_pb2.WaitOperationRequest` The request object. Request message for `WaitOperation` method.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`.operations_pb2.Operation`	An `Operation` object.