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git-subtree-dir: SpiffWorkflow git-subtree-split: 63db3e45947ec66b8d0efc2c74064004f8ff482c
65 lines
2.3 KiB
Python
65 lines
2.3 KiB
Python
# -*- coding: utf-8 -*-
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# Copyright (C) 2007 Samuel Abels
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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 ..exceptions import WorkflowException
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from .base import TaskSpec
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class StartTask(TaskSpec):
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"""
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This class implements the task the is placed at the beginning
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of each workflow. The task has no inputs and at least one output.
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If more than one output is connected, the task does an implicit
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parallel split.
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"""
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def __init__(self, wf_spec, name='Start', **kwargs):
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"""
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Constructor. The name of this task is *always* 'Start'.
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:type wf_spec: WorkflowSpec
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:param wf_spec: A reference to the workflow specification.
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:type kwargs: dict
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:param kwargs: See :class:`SpiffWorkflow.specs.TaskSpec`.
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"""
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TaskSpec.__init__(self, wf_spec, name, **kwargs)
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def _connect_notify(self, task_spec):
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"""
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Called by the previous task to let us know that it exists.
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"""
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raise WorkflowException(self, 'StartTask can not have any inputs.')
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def test(self):
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"""
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Checks whether all required attributes are set. Throws an exception
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if an error was detected.
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"""
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if len(self.inputs) != 0:
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raise WorkflowException(self, 'StartTask with an input.')
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elif len(self.outputs) < 1:
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raise WorkflowException(self, 'No output task connected.')
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def serialize(self, serializer):
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return serializer.serialize_start_task(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_start_task(wf_spec, s_state)
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