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https://github.com/status-im/spiff-arena.git
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37b7f3d7cd
cd4da465 Merge pull request #264 from sartography/bugfix/dmn-equality-with-boolean 414a59eb disambiguate DMN expressions eea53c91 Merge pull request #263 from sartography/feature/cleanup-task-completion d248d5b1 execute postscript before other complete hook tasks c09f1a90 streamline predict & remove some duplicated calls to it 64c21791 remove duplicate calls to update 4ca1076d move task update to _on_complete to ensure data is copied consistently after task related activities are done d037a7eb small changes for readability 025bc30f Quick patch -- is_executable needs to be accurate immediately. 14d3d8c3 Merge pull request #262 from sartography/feature/parser_info_features 849c223e We are jumping through a lot of complex xml parsing in SpiffWorkflow-Backend because we need to know some basic information about a BPMN process at the moment it is saved. Rather than do that work in the backend, it seems better to have SpiffWorkflow handle parsing the xml and providing a bit of metadata, including: git-subtree-dir: SpiffWorkflow git-subtree-split: cd4da465e125ca1ae1b57d227bfa324d9d4c507c
98 lines
3.5 KiB
Python
98 lines
3.5 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 ..task import TaskState
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from ..exceptions import WorkflowException
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from .MultiChoice import MultiChoice
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class ExclusiveChoice(MultiChoice):
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"""
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This class represents an exclusive choice (an if condition) task
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where precisely one outgoing task is selected. If none of the
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given conditions matches, a default task is selected.
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It has one or more inputs and two or more outputs.
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"""
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def __init__(self, wf_spec, name, **kwargs):
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"""
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Constructor.
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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 name: str
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:param name: The name of the task spec.
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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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super(ExclusiveChoice, self).__init__(wf_spec, name, **kwargs)
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self.default_task_spec = None
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def connect(self, task_spec):
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"""
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Connects the task spec that is executed if no other condition
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matches.
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:type task_spec: TaskSpec
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:param task_spec: The following task spec.
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"""
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assert self.default_task_spec is None
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self.outputs.append(task_spec)
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self.default_task_spec = task_spec.name
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task_spec._connect_notify(self)
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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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MultiChoice.test(self)
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if self.default_task_spec is None:
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raise WorkflowException(self, 'A default output is required.')
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def _predict_hook(self, my_task):
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# If the task's status is not predicted, we default to MAYBE
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# for all it's outputs except the default choice, which is
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# LIKELY.
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# Otherwise, copy my own state to the children.
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my_task._sync_children(self.outputs)
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spec = self._wf_spec.get_task_spec_from_name(self.default_task_spec)
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my_task._set_likely_task(spec)
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def _on_complete_hook(self, my_task):
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# Find the first matching condition.
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output = self._wf_spec.get_task_spec_from_name(self.default_task_spec)
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for condition, spec_name in self.cond_task_specs:
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if condition is None or condition._matches(my_task):
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output = self._wf_spec.get_task_spec_from_name(spec_name)
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break
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if output is None:
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raise WorkflowException(self,
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f'No conditions satisfied for {my_task.task_spec.name}')
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my_task._sync_children([output], TaskState.FUTURE)
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def serialize(self, serializer):
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return serializer.serialize_exclusive_choice(self)
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@classmethod
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def deserialize(self, serializer, wf_spec, s_state):
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return serializer.deserialize_exclusive_choice(wf_spec, s_state)
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