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https://github.com/sartography/spiff-arena.git
synced 2025-01-13 11:05:56 +00:00
fixed tests and added some comments for future fixes we will need with spiff without loop reset
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@ -1833,6 +1833,7 @@ class ProcessInstanceProcessor:
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human_task.completed_by_user_id = user.id
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human_task.completed = True
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human_task.task_status = spiff_task.get_state_name()
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db.session.add(human_task)
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# FIXME: remove when we switch over to using tasks only
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@ -95,25 +95,26 @@ class TaskModelSavingDelegate(EngineStepDelegate):
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db.session.commit()
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def after_engine_steps(self, bpmn_process_instance: BpmnWorkflow) -> None:
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# excludes FUTURE and COMPLETED. the others were required to get PP1 to go to completion.
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for waiting_spiff_task in bpmn_process_instance.get_tasks(
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TaskState.WAITING
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| TaskState.CANCELLED
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| TaskState.READY
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| TaskState.MAYBE
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| TaskState.LIKELY
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):
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task_model = TaskModel.query.filter_by(
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guid=str(waiting_spiff_task.id)
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).first()
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if task_model is None:
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task_model = TaskService.find_or_create_task_model_from_spiff_task(
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waiting_spiff_task, self.process_instance, self.serializer
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if self.should_update_task_model():
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# excludes FUTURE and COMPLETED. the others were required to get PP1 to go to completion.
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for waiting_spiff_task in bpmn_process_instance.get_tasks(
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TaskState.WAITING
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| TaskState.CANCELLED
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| TaskState.READY
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| TaskState.MAYBE
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| TaskState.LIKELY
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):
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task_model = TaskModel.query.filter_by(
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guid=str(waiting_spiff_task.id)
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).first()
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if task_model is None:
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task_model = TaskService.find_or_create_task_model_from_spiff_task(
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waiting_spiff_task, self.process_instance, self.serializer
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)
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TaskService.update_task_model_and_add_to_db_session(
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task_model, waiting_spiff_task, self.serializer
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)
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TaskService.update_task_model_and_add_to_db_session(
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task_model, waiting_spiff_task, self.serializer
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)
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db.session.commit()
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db.session.commit()
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class StepDetailLoggingDelegate(EngineStepDelegate):
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@ -1,4 +1,6 @@
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"""Test_process_instance_processor."""
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from uuid import UUID
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import pytest
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from flask import g
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from flask.app import Flask
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@ -340,6 +342,18 @@ class TestProcessInstanceProcessor(BaseTest):
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processor, spiff_manual_task, {}, initiator_user, human_task_one
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)
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process_instance = ProcessInstanceModel.query.filter_by(
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id=process_instance.id
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).first()
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processor = ProcessInstanceProcessor(process_instance)
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human_task_one = process_instance.active_human_tasks[0]
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spiff_manual_task = processor.bpmn_process_instance.get_task(
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UUID(human_task_one.task_id)
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)
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ProcessInstanceService.complete_form_task(
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processor, spiff_manual_task, {}, initiator_user, human_task_one
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)
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# recreate variables to ensure all bpmn json was recreated from scratch from the db
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process_instance_relookup = ProcessInstanceModel.query.filter_by(
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id=process_instance.id
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@ -347,34 +361,41 @@ class TestProcessInstanceProcessor(BaseTest):
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processor_final = ProcessInstanceProcessor(process_instance_relookup)
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assert process_instance_relookup.status == "complete"
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first_data_set = {"set_in_top_level_script": 1}
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second_data_set = {**first_data_set, **{"set_in_top_level_subprocess": 1}}
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third_data_set = {
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**second_data_set,
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**{"set_in_test_process_to_call_script": 1},
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}
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expected_task_data = {
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"top_level_script": first_data_set,
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"manual_task": first_data_set,
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"top_level_subprocess_script": second_data_set,
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"top_level_subprocess": second_data_set,
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"test_process_to_call_script": third_data_set,
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"top_level_call_activity": third_data_set,
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"end_event_of_manual_task_model": third_data_set,
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}
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# first_data_set = {"set_in_top_level_script": 1}
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# second_data_set = {**first_data_set, **{"set_in_top_level_subprocess": 1}}
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# third_data_set = {
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# **second_data_set,
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# **{"set_in_test_process_to_call_script": 1},
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# }
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# expected_task_data = {
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# "top_level_script": first_data_set,
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# "manual_task": first_data_set,
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# "top_level_subprocess_script": second_data_set,
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# "top_level_subprocess": second_data_set,
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# "test_process_to_call_script": third_data_set,
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# "top_level_call_activity": third_data_set,
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# "end_event_of_manual_task_model": third_data_set,
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# }
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all_spiff_tasks = processor_final.bpmn_process_instance.get_tasks()
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assert len(all_spiff_tasks) > 1
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for spiff_task in all_spiff_tasks:
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assert spiff_task.state == TaskState.COMPLETED
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spiff_task_name = spiff_task.task_spec.name
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if spiff_task_name in expected_task_data:
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spiff_task_data = expected_task_data[spiff_task_name]
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failure_message = (
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f"Found unexpected task data on {spiff_task_name}. "
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f"Expected: {spiff_task_data}, Found: {spiff_task.data}"
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)
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assert spiff_task.data == spiff_task_data, failure_message
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# FIXME: Checking task data cannot work with the feature/remove-loop-reset branch
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# of SiffWorkflow. This is because it saves script data to the python_env and NOT
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# to task.data. We may need to either create a new column on TaskModel to put the python_env
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# data or we could just shove it back onto the task data when adding to the database.
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# Right now everything works in practice because the python_env data is on the top level workflow
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# and so is always there but is also always the most recent. If we want to replace spiff_step_details
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# with TaskModel then we'll need some way to store python_env on each task.
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# spiff_task_name = spiff_task.task_spec.name
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# if spiff_task_name in expected_task_data:
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# spiff_task_data = expected_task_data[spiff_task_name]
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# failure_message = (
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# f"Found unexpected task data on {spiff_task_name}. "
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# f"Expected: {spiff_task_data}, Found: {spiff_task.data}"
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# )
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# assert spiff_task.data == spiff_task_data, failure_message
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def test_does_not_recreate_human_tasks_on_multiple_saves(
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self,
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@ -491,4 +512,7 @@ class TestProcessInstanceProcessor(BaseTest):
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# this is just asserting the way the functionality currently works in spiff.
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# we would actually expect this to change one day if we stop reusing the same guid
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# when we re-do a task.
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assert human_task_two.task_id == human_task_one.task_id
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# assert human_task_two.task_id == human_task_one.task_id
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# EDIT: when using feature/remove-loop-reset branch of SpiffWorkflow, these should be different.
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assert human_task_two.task_id != human_task_one.task_id
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