def create_specialist_pool(
self,
request: specialist_pool_service.
CreateSpecialistPoolRequest = None,
*,
parent: str = None,
specialist_pool: gca_specialist_pool.SpecialistPool = None,
retry: retries.Retry = gapic_v1.method.DEFAULT,
timeout: float = None,
metadata: Sequence[Tuple[str, str]] = (),
) -> gac_operation.Operation:
r"""Creates a SpecialistPool.
Args:
request (google.cloud.aiplatform_v1beta1.types.CreateSpecialistPoolRequest):
The request object. Request message for
[SpecialistPoolService.CreateSpecialistPool][google.cloud.aiplatform.v1beta1.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 (google.cloud.aiplatform_v1beta1.types.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:
google.api_core.operation.Operation:
An object representing a long-running operation.
The result type for the operation will be :class:`google.cloud.aiplatform_v1beta1.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.
"""
# Create or coerce a protobuf request object.
# Sanity check: If we got a request object, we should *not* have
# gotten any keyword arguments that map to the request.
has_flattened_params = any([parent, specialist_pool])
if request is not None and has_flattened_params:
raise ValueError("If the `request` argument is set, then none of "
"the individual field arguments should be set.")
# Minor optimization to avoid making a copy if the user passes
# in a specialist_pool_service.CreateSpecialistPoolRequest.
# There's no risk of modifying the input as we've already verified
# there are no flattened fields.
if not isinstance(request,
specialist_pool_service.CreateSpecialistPoolRequest):
request = specialist_pool_service.CreateSpecialistPoolRequest(
request)
# If we have keyword arguments corresponding to fields on the
# request, apply these.
if parent is not None:
request.parent = parent
if specialist_pool is not None:
request.specialist_pool = specialist_pool
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = self._transport._wrapped_methods[
self._transport.create_specialist_pool]
# Certain fields should be provided within the metadata header;
# add these here.
metadata = tuple(metadata) + (gapic_v1.routing_header.to_grpc_metadata(
(("parent", request.parent), )), )
# Send the request.
response = rpc(
request,
retry=retry,
timeout=timeout,
metadata=metadata,
)
# Wrap the response in an operation future.
response = gac_operation.from_gapic(
response,
self._transport.operations_client,
gca_specialist_pool.SpecialistPool,
metadata_type=specialist_pool_service.
CreateSpecialistPoolOperationMetadata,
)
# Done; return the response.
return response
async def create_specialist_pool(
self,
request: Union[specialist_pool_service.CreateSpecialistPoolRequest,
dict] = None,
*,
parent: str = None,
specialist_pool: gca_specialist_pool.SpecialistPool = None,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: float = None,
metadata: Sequence[Tuple[str, str]] = (),
) -> operation_async.AsyncOperation:
r"""Creates a SpecialistPool.
.. code-block::
from google.cloud import aiplatform_v1beta1
def sample_create_specialist_pool():
# Create a client
client = aiplatform_v1beta1.SpecialistPoolServiceClient()
# Initialize request argument(s)
specialist_pool = aiplatform_v1beta1.SpecialistPool()
specialist_pool.name = "name_value"
specialist_pool.display_name = "display_name_value"
request = aiplatform_v1beta1.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 = operation.result()
# Handle the response
print(response)
Args:
request (Union[google.cloud.aiplatform_v1beta1.types.CreateSpecialistPoolRequest, dict]):
The request object. Request message for
[SpecialistPoolService.CreateSpecialistPool][google.cloud.aiplatform.v1beta1.SpecialistPoolService.CreateSpecialistPool].
parent (:class:`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 (:class:`google.cloud.aiplatform_v1beta1.types.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:
google.api_core.operation_async.AsyncOperation:
An object representing a long-running operation.
The result type for the operation will be :class:`google.cloud.aiplatform_v1beta1.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.
"""
# Create or coerce a protobuf request object.
# Quick check: If we got a request object, we should *not* have
# gotten any keyword arguments that map to the request.
has_flattened_params = any([parent, specialist_pool])
if request is not None and has_flattened_params:
raise ValueError("If the `request` argument is set, then none of "
"the individual field arguments should be set.")
request = specialist_pool_service.CreateSpecialistPoolRequest(request)
# If we have keyword arguments corresponding to fields on the
# request, apply these.
if parent is not None:
request.parent = parent
if specialist_pool is not None:
request.specialist_pool = specialist_pool
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = gapic_v1.method_async.wrap_method(
self._client._transport.create_specialist_pool,
default_timeout=5.0,
client_info=DEFAULT_CLIENT_INFO,
)
# Certain fields should be provided within the metadata header;
# add these here.
metadata = tuple(metadata) + (gapic_v1.routing_header.to_grpc_metadata(
(("parent", request.parent), )), )
# Send the request.
response = await rpc(
request,
retry=retry,
timeout=timeout,
metadata=metadata,
)
# Wrap the response in an operation future.
response = operation_async.from_gapic(
response,
self._client._transport.operations_client,
gca_specialist_pool.SpecialistPool,
metadata_type=specialist_pool_service.
CreateSpecialistPoolOperationMetadata,
)
# Done; return the response.
return response
