80 lines
2.9 KiB
Python
80 lines
2.9 KiB
Python
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import pprint
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from SpiffWorkflow.bpmn.BpmnScriptEngine import BpmnScriptEngine
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from SpiffWorkflow.bpmn.workflow import BpmnWorkflow
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from SpiffWorkflow.camunda.serializer.CamundaSerializer import CamundaSerializer
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from SpiffWorkflow.camunda.specs.UserTask import EnumFormField, UserTask
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class CustomBpmnScriptEngine(BpmnScriptEngine):
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"""This is a custom script processor that can be easily injected into Spiff Workflow.
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Rather than execute arbitrary code, this assumes the script references a fully qualified python class
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such as myapp.RandomFact. """
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def execute(self, task, script, **kwargs):
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"""
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Assume that the script read in from the BPMN file is a fully qualified python class. Instantiate
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that class, pass in any data available to the current task so that it might act on it.
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Assume that the class implements the "do_task" method.
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This allows us to reference custom code from the BPMN diagram.
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"""
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module_name = "app." + script
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class_name = module_name.split(".")[-1]
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mod = __import__(module_name, fromlist=[class_name])
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klass = getattr(mod, class_name)
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klass().do_task(task.data)
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def main():
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print("Loading BPMN Specification.")
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spec = bpmn_diagram_to_spec('app/static/bpmn/random_fact')
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print ("Creating a new workflow based on the specification.")
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script_engine = CustomBpmnScriptEngine()
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workflow = BpmnWorkflow(spec, script_engine=script_engine)
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workflow.debug = False
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print ("Running automated tasks.")
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workflow.do_engine_steps()
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while not workflow.is_completed():
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workflow.do_engine_steps()
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ready_tasks = workflow.get_ready_user_tasks()
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while len(ready_tasks) > 0:
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for task in ready_tasks:
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if isinstance(task.task_spec, UserTask):
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show_form(task)
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workflow.complete_next()
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else:
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raise("Unown Ready Task.")
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workflow.do_engine_steps()
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ready_tasks = workflow.get_ready_user_tasks()
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print("All tasks in the workflow are now complete.")
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print("The following data was collected:")
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pprint.pprint(workflow.last_task.data)
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def show_form(task):
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model = {}
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form = task.task_spec.form
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for field in form.fields:
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print("Please complete the following questions:")
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prompt = field.label
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if isinstance(field, EnumFormField):
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prompt += "? (Options: " + ', '.join([str(option.id) for option in field.options]) + ")"
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prompt += "? "
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model[form.key + "." + field.id] = input(prompt)
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if task.data is None:
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task.data = {}
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task.data.update(model)
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def bpmn_diagram_to_spec(file_path):
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"""This loads up all BPMN diagrams in the BPMN folder."""
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workflowSpec = CamundaSerializer().deserialize_workflow_spec(file_path)
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return workflowSpec
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if __name__ == "__main__":
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main()
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