Returns information about a Dataset.
Parameters:
Raises:
Source code in docs_src/capo_finspace_data/_services/finspacedata.py
| def get_dataset(
self,
dataset_id: "capo_finspace_data.types.string_value_length1to255.StringValueLength1to255",
*,
config_overrides: Optional[finspacedataClientConfig] = None,
) -> "capo_finspace_data.types.get_dataset_response.GetDatasetResponse":
"""<p>Returns information about a Dataset.</p>
Args:
dataset_id: <p>The unique identifier for a Dataset.</p>
Raises:
capo_finspace_data.errors.access_denied_exception.AccessDeniedException: <p>You do not have sufficient access to perform this action.</p>
capo_finspace_data.errors.conflict_exception.ConflictException: <p>The request conflicts with an existing resource.</p>
capo_finspace_data.errors.internal_server_exception.InternalServerException: <p>The request processing has failed because of an unknown error, exception or failure.</p>
capo_finspace_data.errors.resource_not_found_exception.ResourceNotFoundException: <p>One or more resources can't be found.</p>
capo_finspace_data.errors.throttling_exception.ThrottlingException: <p>The request was denied due to request throttling.</p>
capo_finspace_data.errors.validation_exception.ValidationException: <p>The input fails to satisfy the constraints specified by an AWS service.</p>
capo_finspace_data.errors.UnknownServiceError: The service returned an error code this client does not model.
"""
def _handler(
req: "OperationRequest[capo_finspace_data.types.get_dataset_request.GetDatasetRequest]",
) -> OperationResponse[
"capo_finspace_data.types.get_dataset_response.GetDatasetResponse"
]:
import capo_finspace_data._operations.aws_habanero_public_api.get_dataset
output, http_response = (
capo_finspace_data._operations.aws_habanero_public_api.get_dataset.get_dataset(
req.options, req.input
)
)
return OperationResponse(output=output, response=http_response)
interceptors_, options_ = self.operation_options(
config_overrides, OperationLogging("GetDataset")
)
input_: capo_finspace_data.types.get_dataset_request.GetDatasetRequest = {
"dataset_id": dataset_id
}
response = execute_pipeline(
OperationRequest(input=input_, options=options_),
handler=_handler,
interceptors=list(interceptors_),
)
response.response.close()
return response.output
|