Returns metadata about a collaboration.
Parameters:
Raises:
Source code in docs_src/capo_cleanrooms/_services/clean_rooms.py
| def get_collaboration(
self,
collaboration_identifier: "capo_cleanrooms.types.collaboration_identifier.CollaborationIdentifier",
*,
config_overrides: Optional[CleanRoomsClientConfig] = None,
) -> "capo_cleanrooms.types.get_collaboration_output.GetCollaborationOutput":
"""<p>Returns metadata about a collaboration.</p>
Args:
collaboration_identifier: <p>The identifier for the collaboration.</p>
Raises:
capo_cleanrooms.errors.access_denied_exception.AccessDeniedException: <p>Caller does not have sufficient access to perform this action.</p>
capo_cleanrooms.errors.internal_server_exception.InternalServerException: <p>Unexpected error during processing of request.</p>
capo_cleanrooms.errors.throttling_exception.ThrottlingException: <p>Request was denied due to request throttling.</p>
capo_cleanrooms.errors.validation_exception.ValidationException: <p>The input fails to satisfy the specified constraints.</p>
capo_cleanrooms.errors.UnknownServiceError: The service returned an error code this client does not model.
"""
def _handler(
req: "OperationRequest[capo_cleanrooms.types.get_collaboration_input.GetCollaborationInput]",
) -> OperationResponse[
"capo_cleanrooms.types.get_collaboration_output.GetCollaborationOutput"
]:
import capo_cleanrooms._operations.aws_bastion_control_plane_service_lambda.get_collaboration
output, http_response = (
capo_cleanrooms._operations.aws_bastion_control_plane_service_lambda.get_collaboration.get_collaboration(
req.options, req.input
)
)
return OperationResponse(output=output, response=http_response)
interceptors_, options_ = self.operation_options(
config_overrides, OperationLogging("GetCollaboration")
)
input_: capo_cleanrooms.types.get_collaboration_input.GetCollaborationInput = {
"collaboration_identifier": collaboration_identifier
}
response = execute_pipeline(
OperationRequest(input=input_, options=options_),
handler=_handler,
interceptors=list(interceptors_),
)
response.response.close()
return response.output
|