some basic changes to test using tasks instead of spiff step details
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@ -78,6 +78,7 @@ class Task:
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HUMAN_TASK_TYPES = ["User Task", "Manual Task"]
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def __init__(
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self,
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id: str,
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@ -563,11 +563,11 @@ def process_instance_task_list_without_task_data_for_me(
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"""Process_instance_task_list_without_task_data_for_me."""
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process_instance = _find_process_instance_for_me_or_raise(process_instance_id)
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return process_instance_task_list(
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modified_process_model_identifier,
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process_instance,
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all_tasks,
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spiff_step,
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most_recent_tasks_only,
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_modified_process_model_identifier=modified_process_model_identifier,
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process_instance=process_instance,
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all_tasks=all_tasks,
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spiff_step=spiff_step,
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most_recent_tasks_only=most_recent_tasks_only,
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)
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@ -581,11 +581,11 @@ def process_instance_task_list_without_task_data(
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"""Process_instance_task_list_without_task_data."""
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process_instance = _find_process_instance_by_id_or_raise(process_instance_id)
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return process_instance_task_list(
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modified_process_model_identifier,
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process_instance,
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all_tasks,
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spiff_step,
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most_recent_tasks_only,
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_modified_process_model_identifier=modified_process_model_identifier,
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process_instance=process_instance,
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all_tasks=all_tasks,
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spiff_step=spiff_step,
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most_recent_tasks_only=most_recent_tasks_only,
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)
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@ -594,93 +594,140 @@ def process_instance_task_list(
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process_instance: ProcessInstanceModel,
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all_tasks: bool = False,
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spiff_step: int = 0,
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to_task_guid: Optional[str] = None,
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most_recent_tasks_only: bool = False,
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) -> flask.wrappers.Response:
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"""Process_instance_task_list."""
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step_detail_query = db.session.query(SpiffStepDetailsModel).filter(
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SpiffStepDetailsModel.process_instance_id == process_instance.id,
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# step_detail_query = db.session.query(SpiffStepDetailsModel).filter(
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# SpiffStepDetailsModel.process_instance_id == process_instance.id,
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# )
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#
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# if spiff_step > 0:
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# step_detail_query = step_detail_query.filter(SpiffStepDetailsModel.spiff_step <= spiff_step)
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#
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# step_details = step_detail_query.all()
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#
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# processor = ProcessInstanceProcessor(process_instance)
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# full_bpmn_process_dict = processor.full_bpmn_process_dict
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# tasks = full_bpmn_process_dict["tasks"]
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# subprocesses = full_bpmn_process_dict["subprocesses"]
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#
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# steps_by_id = {step_detail.task_id: step_detail for step_detail in step_details}
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#
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# def restore_task(spiff_task: dict[str, Any], step_ended: float) -> None:
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# if spiff_task["last_state_change"] > step_ended:
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# spiff_task["state"] = Task.task_state_name_to_int("FUTURE")
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# spiff_task["data"] = {}
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#
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# if spiff_step > 0:
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# last_change = step_details[-1].end_in_seconds or 0
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# for spiff_task in tasks.values():
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# restore_task(spiff_task, last_change)
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# for subprocess in subprocesses.values():
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# for spiff_task in subprocess["tasks"].values():
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# restore_task(spiff_task, last_change)
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#
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# bpmn_process_instance = ProcessInstanceProcessor._serializer.workflow_from_dict(full_bpmn_process_dict)
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# if spiff_step > 0:
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# bpmn_process_instance.complete_task_from_id(UUID(step_details[-1].task_id))
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# for subprocess_id, subprocess in bpmn_process_instance.subprocesses.items():
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# if not subprocess.is_completed():
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# task = bpmn_process_instance.get_task(subprocess_id)
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# task._set_state(TaskState.WAITING)
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task_model_query = db.session.query(TaskModel).filter(
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TaskModel.process_instance_id == process_instance.id,
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)
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if spiff_step > 0:
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step_detail_query = step_detail_query.filter(SpiffStepDetailsModel.spiff_step <= spiff_step)
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step_details = step_detail_query.all()
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processor = ProcessInstanceProcessor(process_instance)
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full_bpmn_process_dict = processor.full_bpmn_process_dict
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tasks = full_bpmn_process_dict["tasks"]
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subprocesses = full_bpmn_process_dict["subprocesses"]
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steps_by_id = {step_detail.task_id: step_detail for step_detail in step_details}
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def restore_task(spiff_task: dict[str, Any], step_ended: float) -> None:
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if spiff_task["last_state_change"] > step_ended:
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spiff_task["state"] = Task.task_state_name_to_int("FUTURE")
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spiff_task["data"] = {}
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if spiff_step > 0:
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last_change = step_details[-1].end_in_seconds or 0
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for spiff_task in tasks.values():
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restore_task(spiff_task, last_change)
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for subprocess in subprocesses.values():
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for spiff_task in subprocess["tasks"].values():
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restore_task(spiff_task, last_change)
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bpmn_process_instance = ProcessInstanceProcessor._serializer.workflow_from_dict(full_bpmn_process_dict)
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if spiff_step > 0:
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bpmn_process_instance.complete_task_from_id(UUID(step_details[-1].task_id))
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for subprocess_id, subprocess in bpmn_process_instance.subprocesses.items():
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if not subprocess.is_completed():
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task = bpmn_process_instance.get_task(subprocess_id)
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task._set_state(TaskState.WAITING)
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spiff_tasks = None
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if all_tasks:
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spiff_tasks = bpmn_process_instance.get_tasks(TaskState.ANY_MASK)
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else:
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spiff_tasks = processor.get_all_user_tasks()
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(
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subprocesses_by_child_task_ids,
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task_typename_by_task_id,
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) = processor.get_subprocesses_by_child_task_ids()
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processor.get_highest_level_calling_subprocesses_by_child_task_ids(
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subprocesses_by_child_task_ids, task_typename_by_task_id
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if to_task_guid is not None:
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to_task_model = TaskModel.query.filter_by(guid=to_task_guid, process_instance_id=process_instance.id).first()
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if to_task_model is None:
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raise ApiError(
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error_code="task_not_found",
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message=(
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f"Cannot find a task with guid '{to_task_guid}' for process instance '{process_instance.id}'"
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),
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status_code=400,
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)
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task_model_query = task_model_query.filter(TaskModel.end_in_seconds <= to_task_model.end_in_seconds)
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spiff_tasks_to_process = spiff_tasks
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if most_recent_tasks_only:
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spiff_tasks_by_process_id_and_task_name: dict[str, SpiffTask] = {}
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current_tasks = {}
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for spiff_task in spiff_tasks_to_process:
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row_id = f"{spiff_task.task_spec._wf_spec.name}:{spiff_task.task_spec.name}"
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if spiff_task.state in [TaskState.READY, TaskState.WAITING]:
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current_tasks[row_id] = spiff_task
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if (
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row_id not in spiff_tasks_by_process_id_and_task_name
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or spiff_task.state > spiff_tasks_by_process_id_and_task_name[row_id].state
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):
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spiff_tasks_by_process_id_and_task_name[row_id] = spiff_task
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spiff_tasks_by_process_id_and_task_name.update(current_tasks)
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spiff_tasks_to_process = spiff_tasks_by_process_id_and_task_name.values()
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task_models = task_model_query.all()
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response = []
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for spiff_task in spiff_tasks_to_process:
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task_spiff_step: Optional[int] = None
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if str(spiff_task.id) in steps_by_id:
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task_spiff_step = steps_by_id[str(spiff_task.id)].spiff_step
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calling_subprocess_task_id = subprocesses_by_child_task_ids.get(str(spiff_task.id), None)
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task = ProcessInstanceService.spiff_task_to_api_task(
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processor,
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spiff_task,
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calling_subprocess_task_id=calling_subprocess_task_id,
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task_spiff_step=task_spiff_step,
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)
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if task.state in ["MAYBE", "LIKELY"]:
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task.state = "FUTURE"
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response.append(task)
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# processor = ProcessInstanceProcessor(process_instance)
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# full_bpmn_process_dict = processor.full_bpmn_process_dict
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# tasks = full_bpmn_process_dict["tasks"]
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# subprocesses = full_bpmn_process_dict["subprocesses"]
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#
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# steps_by_id = {step_detail.task_id: step_detail for step_detail in step_details}
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#
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# def restore_task(spiff_task: dict[str, Any], step_ended: float) -> None:
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# if spiff_task["last_state_change"] > step_ended:
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# spiff_task["state"] = Task.task_state_name_to_int("FUTURE")
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# spiff_task["data"] = {}
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#
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# if spiff_step > 0:
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# last_change = step_details[-1].end_in_seconds or 0
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# for spiff_task in tasks.values():
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# restore_task(spiff_task, last_change)
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# for subprocess in subprocesses.values():
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# for spiff_task in subprocess["tasks"].values():
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# restore_task(spiff_task, last_change)
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#
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# bpmn_process_instance = ProcessInstanceProcessor._serializer.workflow_from_dict(full_bpmn_process_dict)
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# if spiff_step > 0:
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# bpmn_process_instance.complete_task_from_id(UUID(step_details[-1].task_id))
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# for subprocess_id, subprocess in bpmn_process_instance.subprocesses.items():
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# if not subprocess.is_completed():
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# task = bpmn_process_instance.get_task(subprocess_id)
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# task._set_state(TaskState.WAITING)
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return make_response(jsonify(response), 200)
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# spiff_tasks = None
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# if all_tasks:
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# spiff_tasks = bpmn_process_instance.get_tasks(TaskState.ANY_MASK)
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# else:
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# spiff_tasks = processor.get_all_user_tasks()
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#
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# (
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# subprocesses_by_child_task_ids,
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# task_typename_by_task_id,
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# ) = processor.get_subprocesses_by_child_task_ids()
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# processor.get_highest_level_calling_subprocesses_by_child_task_ids(
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# subprocesses_by_child_task_ids, task_typename_by_task_id
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# )
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#
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# spiff_tasks_to_process = spiff_tasks
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# if most_recent_tasks_only:
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# spiff_tasks_by_process_id_and_task_name: dict[str, SpiffTask] = {}
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# current_tasks = {}
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# for spiff_task in spiff_tasks_to_process:
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# row_id = f"{spiff_task.task_spec._wf_spec.name}:{spiff_task.task_spec.name}"
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# if spiff_task.state in [TaskState.READY, TaskState.WAITING]:
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# current_tasks[row_id] = spiff_task
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# if (
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# row_id not in spiff_tasks_by_process_id_and_task_name
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# or spiff_task.state > spiff_tasks_by_process_id_and_task_name[row_id].state
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# ):
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# spiff_tasks_by_process_id_and_task_name[row_id] = spiff_task
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# spiff_tasks_by_process_id_and_task_name.update(current_tasks)
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# spiff_tasks_to_process = spiff_tasks_by_process_id_and_task_name.values()
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#
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# response = []
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# for spiff_task in spiff_tasks_to_process:
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# task_spiff_step: Optional[int] = None
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# if str(spiff_task.id) in steps_by_id:
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# task_spiff_step = steps_by_id[str(spiff_task.id)].spiff_step
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# calling_subprocess_task_id = subprocesses_by_child_task_ids.get(str(spiff_task.id), None)
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# task = ProcessInstanceService.spiff_task_to_api_task(
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# processor,
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# spiff_task,
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# calling_subprocess_task_id=calling_subprocess_task_id,
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# task_spiff_step=task_spiff_step,
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# )
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# if task.state in ["MAYBE", "LIKELY"]:
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# task.state = "FUTURE"
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# response.append(task)
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return make_response(jsonify(task_models), 200)
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def process_instance_reset(
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