Squashed 'SpiffWorkflow/' changes from 5cdb881ed..a6392d190
a6392d190 SpiffWorkflow cold start improvements (#13) git-subtree-dir: SpiffWorkflow git-subtree-split: a6392d19061f623394f5705fb78af23673d3940d
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@ -74,7 +74,7 @@ Serialization
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.. warning::
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Serialization Changed in Version 1.1.7.
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Serialization Changed in Version 1.1.7.
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Support for pre-1.1.7 serialization will be dropped in a future release.
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The old serialization method still works but it is deprecated.
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To migrate your system to the new version, see "Migrating between
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@ -85,8 +85,8 @@ setting. This may not always be the case, we may be executing the workflow in th
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may have a user request a web page where we open a specific workflow that we may be in the middle of, do one step of
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that workflow and then the user may be back in a few minutes, or maybe a few hours depending on the application.
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The :code:`BpmnWorkflowSerializer` class contains a serializer for a workflow containing only standard BPMN Tasks.
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Since we are using custom task classes (the Camunda :code:`UserTask` and the DMN :code:`BusinessRuleTask`),
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The :code:`BpmnWorkflowSerializer` class contains a serializer for a workflow containing only standard BPMN Tasks.
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Since we are using custom task classes (the Camunda :code:`UserTask` and the DMN :code:`BusinessRuleTask`),
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we'll need to supply serializers for those task specs as well.
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Strictly speaking, these are not serializers per se: they actually convert the tasks into dictionaries of
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@ -138,7 +138,7 @@ two components:
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- a data converter (which handles workflow and task data).
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The default workflow spec converter likely to meet your needs, either on its own, or with the inclusion of
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:code:`UserTask` and :code:`BusinessRuleTask` in the :code:`camnuda` or :code:`spiff` and :code:`dmn` subpackages
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:code:`UserTask` and :code:`BusinessRuleTask` in the :code:`camnuda` or :code:`spiff` and :code:`dmn` subpackages
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of this library, and all you'll need to do is add them to the list of task converters, as we did above.
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However, he default data converter is very simple, adding only JSON-serializable conversions of :code:`datetime`
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@ -180,7 +180,7 @@ If you have written any custom task specs, you'll need to implement task spec co
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Task Spec converters are also based on the :code:`DictionaryConverter`. You should be able to use the
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`BpmnTaskSpecConverter <https://github.com/sartography/SpiffWorkflow/blob/main/SpiffWorkflow/bpmn/serializer/bpmn_converters.py>`_
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as a basis for your custom specs. It provides some methods for extracting attributes from Spiff base classes as well as
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as a basis for your custom specs. It provides some methods for extracting attributes from Spiff base classes as well as
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standard BPNN attributes from tasks that inherit from :code:`BMPNSpecMixin`.
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The `Camunda User Task Converter <https://github.com/sartography/SpiffWorkflow/blob/main/SpiffWorkflow/camunda/serializer/task_spec_converters.py>`_
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@ -221,7 +221,7 @@ serialize the workflow in the new format:
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new_json = serializer.serialize_json(workflow)
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However, if you use custom tasks or data serialization, you'll also need to specify workflow spec or data
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serializers, as in the examples in the previous section, before you'll be able to serialize with the new serializer.
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serializers, as in the examples in the previous section, before you'll be able to serialize with the new serializer.
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The code would then look more like this:
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.. code:: python
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@ -244,7 +244,7 @@ The code would then look more like this:
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new_json = serializer.serialize_json(workflow)
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Because the serializer is highly customizable, we've made it possible for you to manage your own versions of the
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serialization. You can do this by passing a version number into the serializer, which will be embedded in the
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serialization. You can do this by passing a version number into the serializer, which will be embedded in the
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json of all workflows. This allow you to modify the serialization and customize it over time, and still manage
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the different forms as you make adjustments without leaving people behind.
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@ -253,11 +253,11 @@ Versioned Serializer
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As we make changes to Spiff, we may change the serialization format. For example, in 1.1.8, we changed
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how subprocesses were handled interally in BPMN workflows and updated how they are serialized. If you have
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not overridden our version number with one of your own, the serializer will transform the 1.0 format to the
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not overridden our version number with one of your own, the serializer will transform the 1.0 format to the
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new 1.1 format.
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If you've overridden the serializer version, you may need to incorporate our serialization changes with
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your own. You can find our conversions in
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your own. You can find our conversions in
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`version_migrations.py <https://github.com/sartography/SpiffWorkflow/blob/main/SpiffWorkflow/bpmn/serializer/version_migration.py>`_
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Custom Script Engines
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@ -277,14 +277,9 @@ We'll cover a simple extension of custom script engine here. There is also an e
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a similar engine based on `RestrictedPython <https://restrictedpython.readthedocs.io/en/latest/>`_
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included alongside this example.
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The default script engine imports the following objects:
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The default script engine does not import any objects.
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- :code:`timedelta`
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- :code:`datetime`
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- :code:`dateparser`
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- :code:`pytz`
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You could add other functions or classes from the standard python modules or any code you've
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You could add functions or classes from the standard python modules or any code you've
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implemented yourself. Your global environment can be passed in using the `default_globals`
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argument when initializing the script engine. In our RestrictedPython example, we use their
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`safe_globals` which prevents users from executing some potentially unsafe operations.
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@ -3,6 +3,4 @@
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celery==5.2.3
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coverage
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lxml
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dateparser
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pytz
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.
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2
setup.py
2
setup.py
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@ -22,7 +22,7 @@ setup(name='SpiffWorkflow',
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license='lGPLv2',
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packages=find_packages(exclude=['tests', 'tests.*']),
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package_data={'SpiffWorkflow.bpmn.parser.schema': ['*.xsd']},
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install_requires=['configparser', 'lxml', 'celery', 'dateparser', 'pytz',
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install_requires=['configparser', 'lxml', 'celery',
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# required for python 3.7 - https://stackoverflow.com/a/73932581
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'importlib-metadata<5.0; python_version <= "3.7"'],
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keywords='spiff workflow bpmn engine',
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@ -5,6 +5,7 @@ import datetime
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import time
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from SpiffWorkflow.task import TaskState
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from SpiffWorkflow.bpmn.workflow import BpmnWorkflow
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from SpiffWorkflow.bpmn.PythonScriptEngine import PythonScriptEngine
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from tests.SpiffWorkflow.bpmn.BpmnWorkflowTestCase import BpmnWorkflowTestCase
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__author__ = 'kellym'
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@ -15,11 +16,12 @@ class NITimerDurationTest(BpmnWorkflowTestCase):
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Non-Interrupting Timer boundary test
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"""
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def setUp(self):
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self.script_engine = PythonScriptEngine(default_globals={"timedelta": datetime.timedelta})
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spec, subprocesses = self.load_workflow_spec('timer-non-interrupt-boundary.bpmn', 'NonInterruptTimer')
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self.workflow = BpmnWorkflow(spec, subprocesses)
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self.workflow = BpmnWorkflow(spec, subprocesses, script_engine=self.script_engine)
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def load_spec(self):
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return
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return
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def testRunThroughHappy(self):
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self.actual_test(save_restore=False)
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@ -28,7 +30,7 @@ class NITimerDurationTest(BpmnWorkflowTestCase):
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self.actual_test(save_restore=True)
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def actual_test(self,save_restore = False):
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ready_tasks = self.workflow.get_tasks(TaskState.READY)
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self.assertEqual(1, len(ready_tasks))
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self.workflow.complete_task_from_id(ready_tasks[0].id)
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@ -47,7 +49,9 @@ class NITimerDurationTest(BpmnWorkflowTestCase):
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ready_tasks = self.workflow.get_tasks(TaskState.READY)
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if len(ready_tasks) > 1:
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break
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if save_restore: self.save_restore()
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if save_restore:
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self.save_restore()
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self.workflow.script_engine = self.script_engine
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#self.assertEqual(1, len(self.workflow.get_tasks(Task.WAITING)))
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time.sleep(0.1)
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self.workflow.complete_task_from_id(ready_tasks[0].id)
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@ -24,32 +24,11 @@ class PythonScriptEngineTest(BpmnWorkflowTestCase):
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workflow.do_engine_steps()
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self.task = workflow.last_task
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def testDateTimeExpressions(self):
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"""Basically, assure that we can use datime, dateutils, and pytz"""
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script = """
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# Create Current Date as UTC
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now_utc = datetime.datetime.now(datetime.timezone.utc)
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# Create Current Date at EST
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now_est = now_utc.astimezone(pytz.timezone('US/Eastern'))
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# Format a date from a date String in UTC
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datestr = "2021-09-23 16:11:00 -0000" # 12 pm EST, 4pm UTC
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dt = dateparser.parse(datestr)
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localtime = dt.astimezone(pytz.timezone('US/Eastern'))
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localtime_str = localtime.strftime("%Y-%m-%d %H:%M:%S")
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"""
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self.expressionEngine.execute(self.task, script)
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self.assertEqual(self.task.data['now_utc'].utcoffset().days, 0)
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self.assertEqual(self.task.data['now_est'].tzinfo.zone, "US/Eastern")
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self.assertEqual(self.task.data['localtime_str'], "2021-09-23 12:11:00")
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self.assertTrue(True)
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def testFunctionsAndGlobalsAreRemoved(self):
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self.assertIn('testvar', self.task.data)
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self.assertIn('testvar2', self.task.data)
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self.assertIn('sample', self.task.data)
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self.assertNotIn('my_function', self.task.data)
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self.assertNotIn('datetime', self.task.data)
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def suite():
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return unittest.TestLoader().loadTestsFromTestCase(PythonScriptEngineTest)
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@ -1,5 +1,6 @@
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# -*- coding: utf-8 -*-
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import datetime
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import unittest
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from SpiffWorkflow.bpmn.PythonScriptEngine import PythonScriptEngine
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@ -8,6 +9,15 @@ from tests.SpiffWorkflow.bpmn.BpmnWorkflowTestCase import BpmnWorkflowTestCase
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__author__ = 'sartography'
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class CustomScriptEngine(PythonScriptEngine):
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"""This is a custom script processor that can be easily injected into Spiff Workflow.
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It will execute python code read in from the bpmn. It will also make any scripts in the
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scripts directory available for execution. """
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def __init__(self):
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augment_methods = {
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'timedelta': datetime.timedelta,
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}
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super().__init__(scripting_additions=augment_methods)
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class TooManyLoopsTest(BpmnWorkflowTestCase):
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@ -23,7 +33,7 @@ class TooManyLoopsTest(BpmnWorkflowTestCase):
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def actual_test(self,save_restore = False):
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spec, subprocesses = self.load_workflow_spec('too_many_loops*.bpmn', 'loops')
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self.workflow = BpmnWorkflow(spec, subprocesses, script_engine=PythonScriptEngine())
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self.workflow = BpmnWorkflow(spec, subprocesses, script_engine=CustomScriptEngine())
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counter = 0
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data = {}
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while not self.workflow.is_completed():
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counter += 1 # There is a 10 millisecond wait task.
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if save_restore:
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self.save_restore()
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self.workflow.script_engine = CustomScriptEngine()
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self.assertEqual(20, self.workflow.last_task.data['counter'])
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def test_with_sub_process(self):
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# right after a sub-process. So assuring this is fixed.
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counter = 0
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spec, subprocesses = self.load_workflow_spec('too_many_loops_sub_process.bpmn', 'loops_sub')
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self.workflow = BpmnWorkflow(spec, subprocesses, script_engine=PythonScriptEngine())
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self.workflow = BpmnWorkflow(spec, subprocesses, script_engine=CustomScriptEngine())
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data = {}
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while not self.workflow.is_completed():
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self.workflow.do_engine_steps()
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@ -57,7 +68,7 @@ class TooManyLoopsTest(BpmnWorkflowTestCase):
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def test_with_two_call_activities(self):
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spec, subprocess = self.load_workflow_spec('sub_in_loop*.bpmn', 'main')
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self.workflow = BpmnWorkflow(spec, subprocess)
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self.workflow = BpmnWorkflow(spec, subprocess, script_engine=CustomScriptEngine())
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self.workflow.do_engine_steps()
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for loop in range(3):
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ready = self.workflow.get_ready_user_tasks()
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self.workflow.refresh_waiting_tasks()
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self.workflow.do_engine_steps()
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self.save_restore()
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self.workflow.script_engine = CustomScriptEngine()
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def suite():
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return unittest.TestLoader().loadTestsFromTestCase(TooManyLoopsTest)
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@ -7,8 +7,8 @@
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<bpmn:scriptTask id="Activity_1q1wged" name="Set Future Date">
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<bpmn:incoming>Flow_1i73q45</bpmn:incoming>
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<bpmn:outgoing>Flow_00e79cz</bpmn:outgoing>
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<bpmn:script>futuredate = dateparser.parse('in 1 second') - timedelta(seconds=.95)
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futuredate2 = dateparser.parse('September 1 2021 at 10am EDT')</bpmn:script>
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<bpmn:script>futuredate = datetime.now() + timedelta(0, 1) - timedelta(seconds=.95)
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futuredate2 = datetime.strptime('2021-09-01 10:00','%Y-%m-%d %H:%M')</bpmn:script>
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</bpmn:scriptTask>
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<bpmn:sequenceFlow id="Flow_1i73q45" sourceRef="Event_0u1rmur" targetRef="Activity_1q1wged" />
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<bpmn:sequenceFlow id="Flow_00e79cz" sourceRef="Activity_1q1wged" targetRef="Event_0eb0w95" />
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@ -1,5 +1,6 @@
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# -*- coding: utf-8 -*-
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import datetime
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import unittest
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import time
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It will execute python code read in from the bpmn. It will also make any scripts in the
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scripts directory available for execution. """
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def __init__(self):
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augment_methods = {'custom_function': my_custom_function}
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augment_methods = {
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'custom_function': my_custom_function,
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'timedelta': datetime.timedelta,
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}
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super().__init__(scripting_additions=augment_methods)
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@ -1,5 +1,6 @@
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# -*- coding: utf-8 -*-
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import datetime
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import unittest
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import time
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It will execute python code read in from the bpmn. It will also make any scripts in the
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scripts directory available for execution. """
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def __init__(self):
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augment_methods = {'custom_function': my_custom_function}
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augment_methods = {
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'custom_function': my_custom_function,
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'timedelta': datetime.timedelta,
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}
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super().__init__(scripting_additions=augment_methods)
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@ -3,10 +3,10 @@
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import unittest
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import datetime
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import time
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import pytz
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from SpiffWorkflow.task import TaskState
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from SpiffWorkflow.bpmn.workflow import BpmnWorkflow
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from SpiffWorkflow.bpmn.PythonScriptEngine import PythonScriptEngine
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from tests.SpiffWorkflow.bpmn.BpmnWorkflowTestCase import BpmnWorkflowTestCase
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__author__ = 'kellym'
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class TimerDateTest(BpmnWorkflowTestCase):
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def setUp(self):
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self.script_engine = PythonScriptEngine(default_globals={
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"datetime": datetime.datetime,
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"timedelta": datetime.timedelta,
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})
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self.spec, self.subprocesses = self.load_workflow_spec('timer-date-start.bpmn', 'date_timer')
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self.workflow = BpmnWorkflow(self.spec, self.subprocesses)
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self.workflow = BpmnWorkflow(self.spec, self.subprocesses, script_engine=self.script_engine)
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def testRunThroughHappy(self):
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self.actual_test(save_restore=False)
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break
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if save_restore:
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self.save_restore()
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self.workflow.script_engine = self.script_engine
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waiting_tasks = self.workflow.get_tasks(TaskState.WAITING)
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loopcount = loopcount +1
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endtime = datetime.datetime.now()
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self.workflow.do_engine_steps()
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tz = pytz.timezone('US/Eastern')
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testdate = tz.localize(datetime.datetime.strptime('2021-09-01 10:00','%Y-%m-%d %H:%M'))
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testdate = datetime.datetime.strptime('2021-09-01 10:00','%Y-%m-%d %H:%M')
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self.assertEqual(self.workflow.last_task.data['futuredate2'],testdate)
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self.assertTrue('completed' in self.workflow.last_task.data)
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self.assertTrue(self.workflow.last_task.data['completed'])
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@ -3,10 +3,12 @@
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import unittest
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import datetime
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import time
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from datetime import timedelta
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from SpiffWorkflow.bpmn.specs.events import EndEvent
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from SpiffWorkflow.task import TaskState
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from SpiffWorkflow.bpmn.workflow import BpmnWorkflow
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from SpiffWorkflow.bpmn.PythonScriptEngine import PythonScriptEngine
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from tests.SpiffWorkflow.bpmn.BpmnWorkflowTestCase import BpmnWorkflowTestCase
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__author__ = 'kellym'
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@ -14,8 +16,9 @@ __author__ = 'kellym'
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class TimerDurationTest(BpmnWorkflowTestCase):
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def setUp(self):
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self.script_engine = PythonScriptEngine(default_globals={"timedelta": timedelta})
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self.spec, self.subprocesses = self.load_workflow_spec('boundary_timer_on_task.bpmn', 'test_timer')
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self.workflow = BpmnWorkflow(self.spec, self.subprocesses)
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self.workflow = BpmnWorkflow(self.spec, self.subprocesses, script_engine=self.script_engine)
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def testRunThroughHappy(self):
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self.actual_test(save_restore=False)
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@ -43,9 +46,11 @@ class TimerDurationTest(BpmnWorkflowTestCase):
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starttime = datetime.datetime.now()
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self.workflow = BpmnWorkflow(self.spec)
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self.workflow.script_engine = self.script_engine
|
||||
self.workflow.do_engine_steps()
|
||||
if save_restore:
|
||||
self.save_restore()
|
||||
self.workflow.script_engine = self.script_engine
|
||||
time.sleep(0.1)
|
||||
self.workflow.refresh_waiting_tasks()
|
||||
self.workflow.do_engine_steps()
|
||||
|
|
|
@ -3,8 +3,10 @@
|
|||
import unittest
|
||||
import datetime
|
||||
import time
|
||||
from datetime import timedelta
|
||||
from SpiffWorkflow.task import TaskState
|
||||
from SpiffWorkflow.bpmn.workflow import BpmnWorkflow
|
||||
from SpiffWorkflow.bpmn.PythonScriptEngine import PythonScriptEngine
|
||||
from tests.SpiffWorkflow.bpmn.BpmnWorkflowTestCase import BpmnWorkflowTestCase
|
||||
|
||||
__author__ = 'kellym'
|
||||
|
@ -13,8 +15,9 @@ __author__ = 'kellym'
|
|||
class TimerDurationTest(BpmnWorkflowTestCase):
|
||||
|
||||
def setUp(self):
|
||||
self.script_engine = PythonScriptEngine(default_globals={"timedelta": timedelta})
|
||||
self.spec, self.subprocesses = self.load_workflow_spec('timer.bpmn', 'timer')
|
||||
self.workflow = BpmnWorkflow(self.spec, self.subprocesses)
|
||||
self.workflow = BpmnWorkflow(self.spec, self.subprocesses, script_engine=self.script_engine)
|
||||
|
||||
def testRunThroughHappy(self):
|
||||
self.actual_test(save_restore=False)
|
||||
|
@ -40,7 +43,9 @@ class TimerDurationTest(BpmnWorkflowTestCase):
|
|||
while loopcount < 10:
|
||||
if len(self.workflow.get_tasks(TaskState.READY)) >= 1:
|
||||
break
|
||||
if save_restore: self.save_restore()
|
||||
if save_restore:
|
||||
self.save_restore()
|
||||
self.workflow.script_engine = self.script_engine
|
||||
self.assertEqual(1, len(self.workflow.get_tasks(TaskState.WAITING)))
|
||||
time.sleep(0.1)
|
||||
self.workflow.refresh_waiting_tasks()
|
||||
|
|
|
@ -24,7 +24,7 @@ class ExternalMessageBoundaryTest(BaseTestCase):
|
|||
|
||||
|
||||
def actual_test(self,save_restore = False):
|
||||
|
||||
|
||||
self.workflow.do_engine_steps()
|
||||
ready_tasks = self.workflow.get_tasks(TaskState.READY)
|
||||
self.assertEqual(1, len(ready_tasks),'Expected to have only one ready task')
|
||||
|
|
|
@ -3,8 +3,10 @@
|
|||
|
||||
import unittest
|
||||
import time
|
||||
from datetime import timedelta
|
||||
from SpiffWorkflow.task import TaskState
|
||||
from SpiffWorkflow.bpmn.workflow import BpmnWorkflow
|
||||
from SpiffWorkflow.bpmn.PythonScriptEngine import PythonScriptEngine
|
||||
from .BaseTestCase import BaseTestCase
|
||||
|
||||
__author__ = 'kellym'
|
||||
|
@ -13,8 +15,9 @@ __author__ = 'kellym'
|
|||
class MessageBoundaryTest(BaseTestCase):
|
||||
|
||||
def setUp(self):
|
||||
self.script_engine = PythonScriptEngine(default_globals={"timedelta": timedelta})
|
||||
self.spec, self.subprocesses = self.load_workflow_spec('MessageBoundary.bpmn', 'Process_1kjyavs')
|
||||
self.workflow = BpmnWorkflow(self.spec, self.subprocesses)
|
||||
self.workflow = BpmnWorkflow(self.spec, self.subprocesses, script_engine=self.script_engine)
|
||||
|
||||
def testRunThroughHappy(self):
|
||||
self.actual_test(save_restore=False)
|
||||
|
@ -41,7 +44,9 @@ class MessageBoundaryTest(BaseTestCase):
|
|||
self.workflow.do_engine_steps()
|
||||
time.sleep(.01)
|
||||
self.workflow.refresh_waiting_tasks()
|
||||
if save_restore: self.save_restore()
|
||||
if save_restore:
|
||||
self.save_restore()
|
||||
self.workflow.script_engine = self.script_engine
|
||||
ready_tasks = self.workflow.get_tasks(TaskState.READY)
|
||||
time.sleep(.01)
|
||||
self.workflow.refresh_waiting_tasks()
|
||||
|
|
|
@ -1,3 +1,4 @@
|
|||
import datetime
|
||||
from decimal import Decimal
|
||||
|
||||
from SpiffWorkflow.bpmn.PythonScriptEngine import PythonScriptEngine
|
||||
|
@ -7,4 +8,5 @@ from ..DecisionRunner import DecisionRunner
|
|||
class PythonDecisionRunner(DecisionRunner):
|
||||
|
||||
def __init__(self, filename):
|
||||
super().__init__(PythonScriptEngine(scripting_additions={'Decimal': Decimal}), filename, 'python_engine')
|
||||
scripting_additions={'Decimal': Decimal, 'datetime': datetime}
|
||||
super().__init__(PythonScriptEngine(scripting_additions=scripting_additions), filename, 'python_engine')
|
||||
|
|
Loading…
Reference in New Issue