# -*- coding: utf-8 -*- # Copyright (C) 2007 Samuel Abels # # This library is free software; you can redistribute it and/or # modify it under the terms of the GNU Lesser General Public # License as published by the Free Software Foundation; either # version 2.1 of the License, or (at your option) any later version. # # This library is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU # Lesser General Public License for more details. # # You should have received a copy of the GNU Lesser General Public # License along with this library; if not, write to the Free Software # Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA # 02110-1301 USA from ..exceptions import WorkflowException from .base import TaskSpec class Cancel(TaskSpec): """ This class cancels a complete workflow. If more than one input is connected, the task performs an implicit multi merge. If more than one output is connected, the task performs an implicit parallel split. """ def __init__(self, wf_spec, name, success=False, **kwargs): """ Constructor. :type wf_spec: WorkflowSpec :param wf_spec: A reference to the workflow specification. :type name: str :param name: The name of the task spec. :type success: bool :param success: Whether to cancel successfully or unsuccessfully. :type kwargs: dict :param kwargs: See :class:`SpiffWorkflow.specs.TaskSpec`. """ TaskSpec.__init__(self, wf_spec, name, **kwargs) self.cancel_successfully = success def test(self): """ Checks whether all required attributes are set. Throws an exception if an error was detected. """ TaskSpec.test(self) if len(self.outputs) > 0: raise WorkflowException('Cancel with an output.', task_spec=self) def _on_complete_hook(self, my_task): my_task.workflow.cancel(self.cancel_successfully) TaskSpec._on_complete_hook(self, my_task) def serialize(self, serializer): return serializer.serialize_cancel(self) @classmethod def deserialize(self, serializer, wf_spec, s_state): return serializer.deserialize_cancel(wf_spec, s_state)