Returns a list of the ID namespace associations in a collaboration.
Parameters:
-
collaboration_identifier
(CollaborationIdentifier)
–
The unique identifier of the collaboration that contains the ID namespace associations that you want to retrieve.
-
next_token
(Optional[PaginationToken], default:
None
)
–
The pagination token that's used to fetch the next set of results.
-
max_results
(Optional[MaxResults], default:
None
)
–
The maximum size of the results that is returned per call. Service chooses a default if it has not been set. Service may return a nextToken even if the maximum results has not been met.>
Raises:
Source code in docs_src/capo_cleanrooms/_services/clean_rooms.py
| def list_collaboration_id_namespace_associations(
self,
collaboration_identifier: "capo_cleanrooms.types.collaboration_identifier.CollaborationIdentifier",
*,
config_overrides: Optional[CleanRoomsClientConfig] = None,
next_token: Optional[
"capo_cleanrooms.types.pagination_token.PaginationToken"
] = None,
max_results: Optional["capo_cleanrooms.types.max_results.MaxResults"] = None,
) -> "capo_cleanrooms.types.list_collaboration_id_namespace_associations_output.ListCollaborationIdNamespaceAssociationsOutput":
"""<p>Returns a list of the ID namespace associations in a collaboration.</p>
Args:
collaboration_identifier: <p>The unique identifier of the collaboration that contains the ID namespace associations that you want to retrieve.</p>
next_token: <p>The pagination token that's used to fetch the next set of results.</p>
max_results: <p>The maximum size of the results that is returned per call. Service chooses a default if it has not been set. Service may return a nextToken even if the maximum results has not been met.></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.resource_not_found_exception.ResourceNotFoundException: <p>Request references a resource which does not exist.</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.list_collaboration_id_namespace_associations_input.ListCollaborationIdNamespaceAssociationsInput]",
) -> OperationResponse[
"capo_cleanrooms.types.list_collaboration_id_namespace_associations_output.ListCollaborationIdNamespaceAssociationsOutput"
]:
import capo_cleanrooms._operations.aws_bastion_control_plane_service_lambda.list_collaboration_id_namespace_associations
output, http_response = (
capo_cleanrooms._operations.aws_bastion_control_plane_service_lambda.list_collaboration_id_namespace_associations.list_collaboration_id_namespace_associations(
req.options, req.input
)
)
return OperationResponse(output=output, response=http_response)
interceptors_, options_ = self.operation_options(
config_overrides,
OperationLogging("ListCollaborationIdNamespaceAssociations"),
)
input_: capo_cleanrooms.types.list_collaboration_id_namespace_associations_input.ListCollaborationIdNamespaceAssociationsInput = {
"collaboration_identifier": collaboration_identifier
}
if next_token is not None:
input_["next_token"] = next_token
if max_results is not None:
input_["max_results"] = max_results
response = execute_pipeline(
OperationRequest(input=input_, options=options_),
handler=_handler,
interceptors=list(interceptors_),
)
response.response.close()
return response.output
|