describe_pending_maintenance_actions ¶

def describe_pending_maintenance_actions(
    self,
    *,
    config_overrides: Optional[RDSClientConfig] = None,
    resource_identifier: Optional["capo_rds.types.string.String"] = None,
    filters: Optional["capo_rds.types.filter_list.FilterList"] = None,
    marker: Optional["capo_rds.types.string.String"] = None,
    max_records: Optional["capo_rds.types.integer_optional.IntegerOptional"] = None,
) -> "capo_rds.types.pending_maintenance_actions_message.PendingMaintenanceActionsMessage":
    """<p>Returns a list of resources (for example, DB instances) that have at least one pending maintenance action.</p> <p>This API follows an eventual consistency model. This means that the result of the <code>DescribePendingMaintenanceActions</code> command might not be immediately visible to all subsequent RDS commands. Keep this in mind when you use <code>DescribePendingMaintenanceActions</code> immediately after using a previous API command such as <code>ApplyPendingMaintenanceActions</code>.</p>

    Args:
        resource_identifier: <p>The ARN of a resource to return pending maintenance actions for.</p>
        filters: <p>A filter that specifies one or more resources to return pending maintenance actions for.</p> <p>Supported filters:</p> <ul> <li> <p> <code>db-cluster-id</code> - Accepts DB cluster identifiers and DB cluster Amazon Resource Names (ARNs). The results list only includes pending maintenance actions for the DB clusters identified by these ARNs.</p> </li> <li> <p> <code>db-instance-id</code> - Accepts DB instance identifiers and DB instance ARNs. The results list only includes pending maintenance actions for the DB instances identified by these ARNs.</p> </li> </ul>
        marker: <p>An optional pagination token provided by a previous <code>DescribePendingMaintenanceActions</code> request. If this parameter is specified, the response includes only records beyond the marker, up to a number of records specified by <code>MaxRecords</code>.</p>
        max_records: <p>The maximum number of records to include in the response. If more records exist than the specified <code>MaxRecords</code> value, a pagination token called a marker is included in the response so that you can retrieve the remaining results.</p> <p>Default: 100</p> <p>Constraints: Minimum 20, maximum 100.</p>

    Raises:
        capo_rds.errors.resource_not_found_fault.ResourceNotFoundFault: <p>The specified resource ID was not found.</p>
        capo_rds.errors.UnknownServiceError: The service returned an error code this client does not model.

    Examples:
        To list resources with at least one pending maintenance action
        The following example lists the pending maintenace action for a DB instance.

        >>> client.describe_pending_maintenance_actions()
    """

    def _handler(
        req: "OperationRequest[capo_rds.types.describe_pending_maintenance_actions_message.DescribePendingMaintenanceActionsMessage]",
    ) -> OperationResponse[
        "capo_rds.types.pending_maintenance_actions_message.PendingMaintenanceActionsMessage"
    ]:
        import capo_rds._operations.amazon_rd_sv19.describe_pending_maintenance_actions

        output, http_response = (
            capo_rds._operations.amazon_rd_sv19.describe_pending_maintenance_actions.describe_pending_maintenance_actions(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("DescribePendingMaintenanceActions")
    )
    input_: capo_rds.types.describe_pending_maintenance_actions_message.DescribePendingMaintenanceActionsMessage = {}
    if resource_identifier is not None:
        input_["resource_identifier"] = resource_identifier
    if filters is not None:
        input_["filters"] = filters
    if marker is not None:
        input_["marker"] = marker
    if max_records is not None:
        input_["max_records"] = max_records

    response = execute_pipeline(
        OperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    response.response.close()
    return response.output