def describe_vcenter_clients(
self,
*,
config_overrides: Optional[mgnClientConfig] = None,
max_results: Optional["capo_mgn.types.max_results_type.MaxResultsType"] = None,
next_token: Optional["capo_mgn.types.pagination_token.PaginationToken"] = None,
) -> "capo_mgn.types.describe_vcenter_clients_response.DescribeVcenterClientsResponse":
"""<p>Returns a list of the installed vCenter clients.</p>
Args:
max_results: <p>Maximum results to be returned in DescribeVcenterClients.</p>
next_token: <p>Next pagination token to be provided for DescribeVcenterClients.</p>
Raises:
capo_mgn.errors.resource_not_found_exception.ResourceNotFoundException: <p>Resource not found exception.</p>
capo_mgn.errors.uninitialized_account_exception.UninitializedAccountException: <p>Uninitialized account exception.</p>
capo_mgn.errors.validation_exception.ValidationException: <p>Validate exception.</p>
capo_mgn.errors.UnknownServiceError: The service returned an error code this client does not model.
"""
def _handler(
req: "OperationRequest[capo_mgn.types.describe_vcenter_clients_request.DescribeVcenterClientsRequest]",
) -> OperationResponse[
"capo_mgn.types.describe_vcenter_clients_response.DescribeVcenterClientsResponse"
]:
import capo_mgn._operations.application_migration_service.describe_vcenter_clients
output, http_response = (
capo_mgn._operations.application_migration_service.describe_vcenter_clients.describe_vcenter_clients(
req.options, req.input
)
)
return OperationResponse(output=output, response=http_response)
def _redact_output(
output: "capo_mgn.types.describe_vcenter_clients_response.DescribeVcenterClientsResponse",
) -> dict[str, Any]:
import capo_mgn.types.describe_vcenter_clients_response
return capo_mgn.types.describe_vcenter_clients_response.redact_sensitive(
output
)
interceptors_, options_ = self.operation_options(
config_overrides,
OperationLogging("DescribeVcenterClients", redact_output=_redact_output),
)
input_: capo_mgn.types.describe_vcenter_clients_request.DescribeVcenterClientsRequest = {}
if max_results is not None:
input_["max_results"] = max_results
if next_token is not None:
input_["next_token"] = next_token
response = execute_pipeline(
OperationRequest(input=input_, options=options_),
handler=_handler,
interceptors=list(interceptors_),
)
response.response.close()
return response.output