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SpecialistPoolServiceClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Optional[Union[str, google.cloud.aiplatform_v1.services.specialist_pool_service.transports.base.SpecialistPoolServiceTransport]] = 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 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 > SpecialistPoolServiceClientProperties
transport
Return the transport used by the client instance.
Type | Description |
SpecialistPoolServiceTransport | The transport used by the client instance. |
Methods
SpecialistPoolServiceClient
SpecialistPoolServiceClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Optional[Union[str, google.cloud.aiplatform_v1.services.specialist_pool_service.transports.base.SpecialistPoolServiceTransport]] = 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>)
Instantiate the specialist pool service client.
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 |
google.api_core.client_options.ClientOptions
Custom options for the client. It won't take effect if a |
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 |
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)
Return a fully-qualified billing_account string.
common_folder_path
common_folder_path(folder: str)
Return a fully-qualified folder string.
common_location_path
common_location_path(project: str, location: str)
Return a fully-qualified location string.
common_organization_path
common_organization_path(organization: str)
Return a fully-qualified organization string.
common_project_path
common_project_path(project: str)
Return a fully-qualified project string.
create_specialist_pool
create_specialist_pool(request: Optional[google.cloud.aiplatform_v1.types.specialist_pool_service.CreateSpecialistPoolRequest] = None, *, parent: Optional[str] = None, specialist_pool: Optional[google.cloud.aiplatform_v1.types.specialist_pool.SpecialistPool] = None, retry: google.api_core.retry.Retry = <object object>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())
Creates a SpecialistPool.
Name | Description |
request |
google.cloud.aiplatform_v1.types.CreateSpecialistPoolRequest
The request object. Request message for |
parent |
str
Required. The parent Project name for the new SpecialistPool. The form is |
specialist_pool |
google.cloud.aiplatform_v1.types.SpecialistPool
Required. The SpecialistPool to create. This corresponds to the |
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. |
Type | Description |
google.api_core.operation.Operation | 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 who are responsible for managing the labelers 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 labelers work with the jobs using CrowdCompute console. |
delete_specialist_pool
delete_specialist_pool(request: Optional[google.cloud.aiplatform_v1.types.specialist_pool_service.DeleteSpecialistPoolRequest] = None, *, name: Optional[str] = None, retry: google.api_core.retry.Retry = <object object>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())
Deletes a SpecialistPool as well as all Specialists in the pool.
Name | Description |
request |
google.cloud.aiplatform_v1.types.DeleteSpecialistPoolRequest
The request object. Request message for |
name |
str
Required. The resource name of the SpecialistPool to delete. Format: |
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. |
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 {}. |
from_service_account_file
from_service_account_file(filename: str, *args, **kwargs)
Creates an instance of this client using the provided credentials file.
Name | Description |
filename |
str
The path to the service account private key json file. |
Type | Description |
SpecialistPoolServiceClient | 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.
Name | Description |
info |
dict
The service account private key info. |
Type | Description |
SpecialistPoolServiceClient | 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.
Name | Description |
filename |
str
The path to the service account private key json file. |
Type | Description |
SpecialistPoolServiceClient | The constructed client. |
get_specialist_pool
get_specialist_pool(request: Optional[google.cloud.aiplatform_v1.types.specialist_pool_service.GetSpecialistPoolRequest] = None, *, name: Optional[str] = None, retry: google.api_core.retry.Retry = <object object>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())
Gets a SpecialistPool.
Name | Description |
request |
google.cloud.aiplatform_v1.types.GetSpecialistPoolRequest
The request object. Request message for |
name |
str
Required. The name of the SpecialistPool resource. The form is |
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. |
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 who are responsible for managing the labelers 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 labelers work with the jobs using CrowdCompute console. |
list_specialist_pools
list_specialist_pools(request: Optional[google.cloud.aiplatform_v1.types.specialist_pool_service.ListSpecialistPoolsRequest] = None, *, parent: Optional[str] = None, retry: google.api_core.retry.Retry = <object object>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())
Lists SpecialistPools in a Location.
Name | Description |
request |
google.cloud.aiplatform_v1.types.ListSpecialistPoolsRequest
The request object. Request message for |
parent |
str
Required. The name of the SpecialistPool's parent resource. Format: |
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. |
Type | Description |
google.cloud.aiplatform_v1.services.specialist_pool_service.pagers.ListSpecialistPoolsPager | 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)
Parse a specialist_pool path into its component segments.
specialist_pool_path
specialist_pool_path(project: str, location: str, specialist_pool: str)
Return a fully-qualified specialist_pool string.
update_specialist_pool
update_specialist_pool(request: Optional[google.cloud.aiplatform_v1.types.specialist_pool_service.UpdateSpecialistPoolRequest] = None, *, specialist_pool: Optional[google.cloud.aiplatform_v1.types.specialist_pool.SpecialistPool] = None, update_mask: Optional[google.protobuf.field_mask_pb2.FieldMask] = None, retry: google.api_core.retry.Retry = <object object>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())
Updates a SpecialistPool.
Name | Description |
request |
google.cloud.aiplatform_v1.types.UpdateSpecialistPoolRequest
The request object. Request message for |
specialist_pool |
google.cloud.aiplatform_v1.types.SpecialistPool
Required. The SpecialistPool which replaces the resource on the server. This corresponds to the |
update_mask |
google.protobuf.field_mask_pb2.FieldMask
Required. The update mask applies to the resource. This corresponds to the |
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. |
Type | Description |
google.api_core.operation.Operation | 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 who are responsible for managing the labelers 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 labelers work with the jobs using CrowdCompute console. |