Class SpecialistPoolServiceAsyncClient (1.13.1)

Version 1.13.1

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SpecialistPoolServiceAsyncClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Union[str, google.cloud.aiplatform_v1.services.specialist_pool_service.transports.base.SpecialistPoolServiceTransport] = 'grpc_asyncio', 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 creating and managing Customer SpecialistPools. When customers start Data Labeling jobs, they can reuse/create Specialist Pools to bring their own Specialists to label the data. Customers can add/remove Managers for the Specialist Pool on Cloud console, then Managers will get email notifications to manage Specialists and tasks on CrowdCompute console.

Inheritance

builtins.object > SpecialistPoolServiceAsyncClient

Properties

transport

Returns the transport used by the client instance.

Returns

Type	Description
SpecialistPoolServiceTransport	The transport used by the client instance.

Methods

SpecialistPoolServiceAsyncClient

SpecialistPoolServiceAsyncClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Union[str, google.cloud.aiplatform_v1.services.specialist_pool_service.transports.base.SpecialistPoolServiceTransport] = 'grpc_asyncio', 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 specialist pool 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, `.SpecialistPoolServiceTransport`] 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.

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_specialist_pool

create_specialist_pool(request: Optional[Union[google.cloud.aiplatform_v1.types.specialist_pool_service.CreateSpecialistPoolRequest, dict]] = None, *, parent: Optional[str] = None, specialist_pool: Optional[google.cloud.aiplatform_v1.types.specialist_pool.SpecialistPool] = 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 a SpecialistPool.

from google.cloud import aiplatform_v1

async def sample_create_specialist_pool():
    # Create a client
    client = aiplatform_v1.SpecialistPoolServiceAsyncClient()

    # Initialize request argument(s)
    specialist_pool = aiplatform_v1.SpecialistPool()
    specialist_pool.name = "name_value"
    specialist_pool.display_name = "display_name_value"

    request = aiplatform_v1.CreateSpecialistPoolRequest(
        parent="parent_value",
        specialist_pool=specialist_pool,
    )

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

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

    response = await operation.result()

    # Handle the response
    print(response)

Parameters

Name	Description
request	Union[google.cloud.aiplatform_v1.types.CreateSpecialistPoolRequest, dict] The request object. Request message for SpecialistPoolService.CreateSpecialistPool.
parent	`str` Required. The parent Project name for the new SpecialistPool. The form is projects/{project}/locations/{location}. This corresponds to the parent field on the request instance; if request is provided, this should not be set.
specialist_pool	SpecialistPool Required. The SpecialistPool to create. This corresponds to the specialist_pool 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 SpecialistPool SpecialistPool represents customers' own workforce to work on their data labeling jobs. It includes a group of specialist managers and workers. Managers are responsible for managing the workers in this pool as well as customers' data labeling jobs associated with this pool. Customers create specialist pool as well as start data labeling jobs on Cloud, managers and workers handle the jobs using CrowdCompute console.

delete_specialist_pool

delete_specialist_pool(request: Optional[Union[google.cloud.aiplatform_v1.types.specialist_pool_service.DeleteSpecialistPoolRequest, 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 a SpecialistPool as well as all Specialists in the pool.

from google.cloud import aiplatform_v1

async def sample_delete_specialist_pool():
    # Create a client
    client = aiplatform_v1.SpecialistPoolServiceAsyncClient()

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

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

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

    response = await operation.result()

    # Handle the response
    print(response)

Parameters

Name	Description
request	Union[google.cloud.aiplatform_v1.types.DeleteSpecialistPoolRequest, dict] The request object. Request message for SpecialistPoolService.DeleteSpecialistPool.
name	`str` Required. The resource name of the SpecialistPool to delete. Format: projects/{project}/locations/{location}/specialistPools/{specialist_pool} 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); } The JSON representation for Empty is empty JSON object {}.

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
SpecialistPoolServiceAsyncClient	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
SpecialistPoolServiceAsyncClient	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
SpecialistPoolServiceAsyncClient	The constructed client.

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.

get_specialist_pool

get_specialist_pool(request: Optional[Union[google.cloud.aiplatform_v1.types.specialist_pool_service.GetSpecialistPoolRequest, 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 a SpecialistPool.

from google.cloud import aiplatform_v1

async def sample_get_specialist_pool():
    # Create a client
    client = aiplatform_v1.SpecialistPoolServiceAsyncClient()

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

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

    # Handle the response
    print(response)

Parameters

Name	Description
request	Union[google.cloud.aiplatform_v1.types.GetSpecialistPoolRequest, dict] The request object. Request message for SpecialistPoolService.GetSpecialistPool.
name	`str` Required. The name of the SpecialistPool resource. The form is projects/{project}/locations/{location}/specialistPools/{specialist_pool}. 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.SpecialistPool

SpecialistPool represents customers' own workforce to work on their data labeling jobs. It includes a group of specialist managers and workers. Managers are responsible for managing the workers in this pool as well as customers' data labeling jobs associated with this pool. Customers create specialist pool as well as start data labeling jobs on Cloud, managers and workers handle the jobs using CrowdCompute console.

get_transport_class

get_transport_class()

Returns an appropriate transport class.

list_specialist_pools

list_specialist_pools(request: Optional[Union[google.cloud.aiplatform_v1.types.specialist_pool_service.ListSpecialistPoolsRequest, 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 SpecialistPools in a Location.

from google.cloud import aiplatform_v1

async def sample_list_specialist_pools():
    # Create a client
    client = aiplatform_v1.SpecialistPoolServiceAsyncClient()

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

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

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

Parameters

Name	Description
request	Union[google.cloud.aiplatform_v1.types.ListSpecialistPoolsRequest, dict] The request object. Request message for SpecialistPoolService.ListSpecialistPools.
parent	`str` Required. The name of the SpecialistPool's parent resource. 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.specialist_pool_service.pagers.ListSpecialistPoolsAsyncPager	Response message for SpecialistPoolService.ListSpecialistPools. Iterating over this object will yield results and resolve additional pages automatically.

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_specialist_pool_path

parse_specialist_pool_path(path: str)

Parses a specialist_pool path into its component segments.

specialist_pool_path

specialist_pool_path(project: str, location: str, specialist_pool: str)

Returns a fully-qualified specialist_pool string.

update_specialist_pool

update_specialist_pool(request: Optional[Union[google.cloud.aiplatform_v1.types.specialist_pool_service.UpdateSpecialistPoolRequest, dict]] = None, *, specialist_pool: Optional[google.cloud.aiplatform_v1.types.specialist_pool.SpecialistPool] = 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 a SpecialistPool.

from google.cloud import aiplatform_v1

async def sample_update_specialist_pool():
    # Create a client
    client = aiplatform_v1.SpecialistPoolServiceAsyncClient()

    # Initialize request argument(s)
    specialist_pool = aiplatform_v1.SpecialistPool()
    specialist_pool.name = "name_value"
    specialist_pool.display_name = "display_name_value"

    request = aiplatform_v1.UpdateSpecialistPoolRequest(
        specialist_pool=specialist_pool,
    )

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

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

    response = await operation.result()

    # Handle the response
    print(response)

Parameters

Name	Description
request	Union[google.cloud.aiplatform_v1.types.UpdateSpecialistPoolRequest, dict] The request object. Request message for SpecialistPoolService.UpdateSpecialistPool.
specialist_pool	SpecialistPool Required. The SpecialistPool which replaces the resource on the server. This corresponds to the specialist_pool 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. 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 SpecialistPool SpecialistPool represents customers' own workforce to work on their data labeling jobs. It includes a group of specialist managers and workers. Managers are responsible for managing the workers in this pool as well as customers' data labeling jobs associated with this pool. Customers create specialist pool as well as start data labeling jobs on Cloud, managers and workers handle the jobs using CrowdCompute console.