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git-subtree-dir: SpiffWorkflow git-subtree-split: 63db3e45947ec66b8d0efc2c74064004f8ff482c
72 lines
2.8 KiB
Python
72 lines
2.8 KiB
Python
# -*- coding: utf-8 -*-
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# Copyright (C) 2012 Matthew Hampton
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#
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# This library is free software; you can redistribute it and/or
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# modify it under the terms of the GNU Lesser General Public
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# License as published by the Free Software Foundation; either
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# version 2.1 of the License, or (at your option) any later version.
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#
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# This library is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
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# Lesser General Public License for more details.
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#
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# You should have received a copy of the GNU Lesser General Public
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# License along with this library; if not, write to the Free Software
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# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA
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# 02110-1301 USA
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from .event_types import ThrowingEvent
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from .event_definitions import TerminateEventDefinition, CancelEventDefinition
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from ....task import TaskState
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class EndEvent(ThrowingEvent):
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"""
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Task Spec for a bpmn:endEvent node.
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From the specification of BPMN (http://www.omg.org/spec/BPMN/2.0/PDF -
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document number:formal/2011-01-03): For a "terminate" End Event, the
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Process is abnormally terminated - no other ongoing Process instances are
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affected.
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For all other End Events, the behavior associated with the Event type is
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performed, e.g., the associated Message is sent for a Message End Event,
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the associated signal is sent for a Signal End Event, and so on. The
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Process instance is then completed, if and only if the following two
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conditions hold:
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* All start nodes of the Process have been visited. More precisely, all
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Start Events have been triggered, and for all starting Event-Based
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Gateways, one of the associated Events has been triggered.
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* There is no token remaining within the Process instance.
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"""
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def __init__(self, wf_spec, name, event_definition, **kwargs):
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super(EndEvent, self).__init__(wf_spec, name, event_definition, **kwargs)
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@property
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def spec_type(self):
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return 'End Event'
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def _on_complete_hook(self, my_task):
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super(EndEvent, self)._on_complete_hook(my_task)
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if isinstance(self.event_definition, TerminateEventDefinition):
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# We are finished. Set the workflow data and cancel all tasks
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my_task.workflow.set_data(**my_task.data)
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for task in my_task.workflow.get_tasks(TaskState.NOT_FINISHED_MASK, workflow=my_task.workflow):
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task.cancel()
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elif isinstance(self.event_definition, CancelEventDefinition):
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my_task.workflow.cancel()
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def serialize(self, serializer):
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return serializer.serialize_generic_event(self)
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@classmethod
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def deserialize(cls, serializer, wf_spec, s_state):
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return serializer.deserialize_generic_event(wf_spec, s_state, EndEvent)
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