Class IndexEndpointServiceClient (1.12.1) 

IndexEndpointServiceClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Optional[Union[str, google.cloud.aiplatform_v1.services.index_endpoint_service.transports.base.IndexEndpointServiceTransport]] = None, client_options: 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>)

A service for managing Vertex AI's IndexEndpoints.

Inheritance

builtins.object > IndexEndpointServiceClient

Properties

transport

Returns the transport used by the client instance.

Returns
Type Description
IndexEndpointServiceTransport The transport used by the client instance.

Methods

IndexEndpointServiceClient

IndexEndpointServiceClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Optional[Union[str, google.cloud.aiplatform_v1.services.index_endpoint_service.transports.base.IndexEndpointServiceTransport]] = None, client_options: 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 index endpoint 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, IndexEndpointServiceTransport]

The transport to use. If set to None, a transport is chosen automatically.
client_options google.api_core.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.
client_info google.api_core.gapic_v1.client_info.ClientInfo

The client info used to send a user-agent string along with API requests. If None, then default info will be used. Generally, you only need to set this if you're developing your own client library.
Exceptions
Type Description
google.auth.exceptions.MutualTLSChannelError If mutual TLS transport creation failed for any reason.

__exit__

__exit__(type, value, traceback)

Releases underlying transport's resources.

common_billing_account_path

common_billing_account_path(billing_account: str)

Returns a fully-qualified billing_account string.

common_folder_path

common_folder_path(folder: str)

Returns a fully-qualified folder string.

common_location_path

common_location_path(project: str, location: str)

Returns a fully-qualified location string.

common_organization_path

common_organization_path(organization: str)

Returns a fully-qualified organization string.

common_project_path

common_project_path(project: str)

Returns a fully-qualified project string.

create_index_endpoint

create_index_endpoint(request: Optional[Union[google.cloud.aiplatform_v1.types.index_endpoint_service.CreateIndexEndpointRequest, dict]] = None, *, parent: Optional[str] = None, index_endpoint: Optional[google.cloud.aiplatform_v1.types.index_endpoint.IndexEndpoint] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Creates an IndexEndpoint.

from google.cloud import aiplatform_v1

def sample_create_index_endpoint():
    # Create a client
    client = aiplatform_v1.IndexEndpointServiceClient()

    # Initialize request argument(s)
    index_endpoint = aiplatform_v1.IndexEndpoint()
    index_endpoint.display_name = "display_name_value"

    request = aiplatform_v1.CreateIndexEndpointRequest(
        parent="parent_value",
        index_endpoint=index_endpoint,
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)
Parameters
Name Description
request Union[google.cloud.aiplatform_v1.types.CreateIndexEndpointRequest, dict]

The request object. Request message for IndexEndpointService.CreateIndexEndpoint.
parent str

Required. The resource name of the Location to create the IndexEndpoint in. Format: projects/{project}/locations/{location} This corresponds to the parent field on the request instance; if request is provided, this should not be set.
index_endpoint google.cloud.aiplatform_v1.types.IndexEndpoint

Required. The IndexEndpoint to create. This corresponds to the index_endpoint 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.Operation An object representing a long-running operation. The result type for the operation will be IndexEndpoint Indexes are deployed into it. An IndexEndpoint can have multiple DeployedIndexes.

delete_index_endpoint

delete_index_endpoint(request: Optional[Union[google.cloud.aiplatform_v1.types.index_endpoint_service.DeleteIndexEndpointRequest, dict]] = None, *, name: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Deletes an IndexEndpoint.

from google.cloud import aiplatform_v1

def sample_delete_index_endpoint():
    # Create a client
    client = aiplatform_v1.IndexEndpointServiceClient()

    # Initialize request argument(s)
    request = aiplatform_v1.DeleteIndexEndpointRequest(
        name="name_value",
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)
Parameters
Name Description
request Union[google.cloud.aiplatform_v1.types.DeleteIndexEndpointRequest, dict]

The request object. Request message for IndexEndpointService.DeleteIndexEndpoint.
name str

Required. The name of the IndexEndpoint resource to be deleted. Format: projects/{project}/locations/{location}/indexEndpoints/{index_endpoint} 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.Operation 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); } The JSON representation for Empty is empty JSON object {}.

deploy_index

deploy_index(request: Optional[Union[google.cloud.aiplatform_v1.types.index_endpoint_service.DeployIndexRequest, dict]] = None, *, index_endpoint: Optional[str] = None, deployed_index: Optional[google.cloud.aiplatform_v1.types.index_endpoint.DeployedIndex] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Deploys an Index into this IndexEndpoint, creating a DeployedIndex within it. Only non-empty Indexes can be deployed.

from google.cloud import aiplatform_v1

def sample_deploy_index():
    # Create a client
    client = aiplatform_v1.IndexEndpointServiceClient()

    # Initialize request argument(s)
    deployed_index = aiplatform_v1.DeployedIndex()
    deployed_index.id = "id_value"
    deployed_index.index = "index_value"

    request = aiplatform_v1.DeployIndexRequest(
        index_endpoint="index_endpoint_value",
        deployed_index=deployed_index,
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)
Parameters
Name Description
request Union[google.cloud.aiplatform_v1.types.DeployIndexRequest, dict]

The request object. Request message for IndexEndpointService.DeployIndex.
index_endpoint str

Required. The name of the IndexEndpoint resource into which to deploy an Index. Format: projects/{project}/locations/{location}/indexEndpoints/{index_endpoint} This corresponds to the index_endpoint field on the request instance; if request is provided, this should not be set.
deployed_index google.cloud.aiplatform_v1.types.DeployedIndex

Required. The DeployedIndex to be created within the IndexEndpoint. This corresponds to the deployed_index 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.Operation An object representing a long-running operation. The result type for the operation will be DeployIndexResponse Response message for IndexEndpointService.DeployIndex.

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
IndexEndpointServiceClient 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
IndexEndpointServiceClient 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
IndexEndpointServiceClient The constructed client.

get_index_endpoint

get_index_endpoint(request: Optional[Union[google.cloud.aiplatform_v1.types.index_endpoint_service.GetIndexEndpointRequest, dict]] = None, *, name: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Gets an IndexEndpoint.

from google.cloud import aiplatform_v1

def sample_get_index_endpoint():
    # Create a client
    client = aiplatform_v1.IndexEndpointServiceClient()

    # Initialize request argument(s)
    request = aiplatform_v1.GetIndexEndpointRequest(
        name="name_value",
    )

    # Make the request
    response = client.get_index_endpoint(request=request)

    # Handle the response
    print(response)
Parameters
Name Description
request Union[google.cloud.aiplatform_v1.types.GetIndexEndpointRequest, dict]

The request object. Request message for IndexEndpointService.GetIndexEndpoint
name str

Required. The name of the IndexEndpoint resource. Format: projects/{project}/locations/{location}/indexEndpoints/{index_endpoint} 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_v1.types.IndexEndpoint Indexes are deployed into it. An IndexEndpoint can have multiple DeployedIndexes.

get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: 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 variabel 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.

index_endpoint_path

index_endpoint_path(project: str, location: str, index_endpoint: str)

Returns a fully-qualified index_endpoint string.

index_path

index_path(project: str, location: str, index: str)

Returns a fully-qualified index string.

list_index_endpoints

list_index_endpoints(request: Optional[Union[google.cloud.aiplatform_v1.types.index_endpoint_service.ListIndexEndpointsRequest, dict]] = None, *, parent: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Lists IndexEndpoints in a Location.

from google.cloud import aiplatform_v1

def sample_list_index_endpoints():
    # Create a client
    client = aiplatform_v1.IndexEndpointServiceClient()

    # Initialize request argument(s)
    request = aiplatform_v1.ListIndexEndpointsRequest(
        parent="parent_value",
    )

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

    # Handle the response
    for response in page_result:
        print(response)
Parameters
Name Description
request Union[google.cloud.aiplatform_v1.types.ListIndexEndpointsRequest, dict]

The request object. Request message for IndexEndpointService.ListIndexEndpoints.
parent str

Required. The resource name of the Location from which to list the IndexEndpoints. 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_v1.services.index_endpoint_service.pagers.ListIndexEndpointsPager Response message for IndexEndpointService.ListIndexEndpoints. Iterating over this object will yield results and resolve additional pages automatically.

mutate_deployed_index

mutate_deployed_index(request: Optional[Union[google.cloud.aiplatform_v1.types.index_endpoint_service.MutateDeployedIndexRequest, dict]] = None, *, index_endpoint: Optional[str] = None, deployed_index: Optional[google.cloud.aiplatform_v1.types.index_endpoint.DeployedIndex] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Update an existing DeployedIndex under an IndexEndpoint.

from google.cloud import aiplatform_v1

def sample_mutate_deployed_index():
    # Create a client
    client = aiplatform_v1.IndexEndpointServiceClient()

    # Initialize request argument(s)
    deployed_index = aiplatform_v1.DeployedIndex()
    deployed_index.id = "id_value"
    deployed_index.index = "index_value"

    request = aiplatform_v1.MutateDeployedIndexRequest(
        index_endpoint="index_endpoint_value",
        deployed_index=deployed_index,
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)
Parameters
Name Description
request Union[google.cloud.aiplatform_v1.types.MutateDeployedIndexRequest, dict]

The request object. Request message for IndexEndpointService.MutateDeployedIndex.
index_endpoint str

Required. The name of the IndexEndpoint resource into which to deploy an Index. Format: projects/{project}/locations/{location}/indexEndpoints/{index_endpoint} This corresponds to the index_endpoint field on the request instance; if request is provided, this should not be set.
deployed_index google.cloud.aiplatform_v1.types.DeployedIndex

Required. The DeployedIndex to be updated within the IndexEndpoint. Currently, the updatable fields are DeployedIndex][automatic_resources] and DeployedIndex][dedicated_resources] This corresponds to the deployed_index 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.Operation An object representing a long-running operation. The result type for the operation will be MutateDeployedIndexResponse Response message for IndexEndpointService.MutateDeployedIndex.

parse_common_billing_account_path

parse_common_billing_account_path(path: str)

Parse a billing_account path into its component segments.

parse_common_folder_path

parse_common_folder_path(path: str)

Parse a folder path into its component segments.

parse_common_location_path

parse_common_location_path(path: str)

Parse a location path into its component segments.

parse_common_organization_path

parse_common_organization_path(path: str)

Parse a organization path into its component segments.

parse_common_project_path

parse_common_project_path(path: str)

Parse a project path into its component segments.

parse_index_endpoint_path

parse_index_endpoint_path(path: str)

Parses a index_endpoint path into its component segments.

parse_index_path

parse_index_path(path: str)

Parses a index path into its component segments.

undeploy_index

undeploy_index(request: Optional[Union[google.cloud.aiplatform_v1.types.index_endpoint_service.UndeployIndexRequest, dict]] = None, *, index_endpoint: Optional[str] = None, deployed_index_id: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Undeploys an Index from an IndexEndpoint, removing a DeployedIndex from it, and freeing all resources it's using.

from google.cloud import aiplatform_v1

def sample_undeploy_index():
    # Create a client
    client = aiplatform_v1.IndexEndpointServiceClient()

    # Initialize request argument(s)
    request = aiplatform_v1.UndeployIndexRequest(
        index_endpoint="index_endpoint_value",
        deployed_index_id="deployed_index_id_value",
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)
Parameters
Name Description
request Union[google.cloud.aiplatform_v1.types.UndeployIndexRequest, dict]

The request object. Request message for IndexEndpointService.UndeployIndex.
index_endpoint str

Required. The name of the IndexEndpoint resource from which to undeploy an Index. Format: projects/{project}/locations/{location}/indexEndpoints/{index_endpoint} This corresponds to the index_endpoint field on the request instance; if request is provided, this should not be set.
deployed_index_id str

Required. The ID of the DeployedIndex to be undeployed from the IndexEndpoint. This corresponds to the deployed_index_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.Operation An object representing a long-running operation. The result type for the operation will be UndeployIndexResponse Response message for IndexEndpointService.UndeployIndex.

update_index_endpoint

update_index_endpoint(request: Optional[Union[google.cloud.aiplatform_v1.types.index_endpoint_service.UpdateIndexEndpointRequest, dict]] = None, *, index_endpoint: Optional[google.cloud.aiplatform_v1.types.index_endpoint.IndexEndpoint] = None, update_mask: Optional[google.protobuf.field_mask_pb2.FieldMask] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Updates an IndexEndpoint.

from google.cloud import aiplatform_v1

def sample_update_index_endpoint():
    # Create a client
    client = aiplatform_v1.IndexEndpointServiceClient()

    # Initialize request argument(s)
    index_endpoint = aiplatform_v1.IndexEndpoint()
    index_endpoint.display_name = "display_name_value"

    request = aiplatform_v1.UpdateIndexEndpointRequest(
        index_endpoint=index_endpoint,
    )

    # Make the request
    response = client.update_index_endpoint(request=request)

    # Handle the response
    print(response)
Parameters
Name Description
request Union[google.cloud.aiplatform_v1.types.UpdateIndexEndpointRequest, dict]

The request object. Request message for IndexEndpointService.UpdateIndexEndpoint.
index_endpoint google.cloud.aiplatform_v1.types.IndexEndpoint

Required. The IndexEndpoint which replaces the resource on the server. This corresponds to the index_endpoint field on the request instance; if request is provided, this should not be set.
update_mask google.protobuf.field_mask_pb2.FieldMask

Required. The update mask applies to the resource. See google.protobuf.FieldMask][google.protobuf.FieldMask]. 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.cloud.aiplatform_v1.types.IndexEndpoint Indexes are deployed into it. An IndexEndpoint can have multiple DeployedIndexes.