Merge pull request #130 from sartography/save_step_data
POC for saving some data about each step
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commit
5c998f9909
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@ -50,6 +50,8 @@ if [[ "${1:-}" == "clean" ]]; then
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docker exec -it postgres-spiff psql -U spiffworkflow_backend spiffworkflow_backend_testing -c "create database spiffworkflow_backend_local_development;"
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fi
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fi
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elif [[ "${1:-}" == "migrate" ]]; then
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tasks="$tasks migrate"
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fi
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tasks="$tasks upgrade"
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@ -0,0 +1,38 @@
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"""empty message
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Revision ID: e05ca5cdc312
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Revises: ca9b79dde5cc
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Create Date: 2023-02-08 12:21:41.722774
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"""
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from alembic import op
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import sqlalchemy as sa
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from sqlalchemy.dialects import mysql
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# revision identifiers, used by Alembic.
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revision = 'e05ca5cdc312'
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down_revision = 'ca9b79dde5cc'
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branch_labels = None
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depends_on = None
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def upgrade():
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# ### commands auto generated by Alembic - please adjust! ###
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op.add_column('spiff_step_details', sa.Column('task_state', sa.String(length=50), nullable=False))
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op.add_column('spiff_step_details', sa.Column('task_id', sa.String(length=50), nullable=False))
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op.add_column('spiff_step_details', sa.Column('bpmn_task_identifier', sa.String(length=255), nullable=False))
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op.add_column('spiff_step_details', sa.Column('engine_step_start_in_seconds', sa.DECIMAL(precision=17, scale=6), nullable=True))
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op.add_column('spiff_step_details', sa.Column('engine_step_end_in_seconds', sa.DECIMAL(precision=17, scale=6), nullable=True))
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op.drop_column('spiff_step_details', 'timestamp')
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# ### end Alembic commands ###
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def downgrade():
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# ### commands auto generated by Alembic - please adjust! ###
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op.add_column('spiff_step_details', sa.Column('timestamp', mysql.DECIMAL(precision=17, scale=6), nullable=False))
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op.drop_column('spiff_step_details', 'engine_step_end_in_seconds')
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op.drop_column('spiff_step_details', 'engine_step_start_in_seconds')
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op.drop_column('spiff_step_details', 'bpmn_task_identifier')
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op.drop_column('spiff_step_details', 'task_id')
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op.drop_column('spiff_step_details', 'task_state')
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# ### end Alembic commands ###
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@ -27,4 +27,10 @@ class SpiffStepDetailsModel(SpiffworkflowBaseDBModel):
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)
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spiff_step: int = db.Column(db.Integer, nullable=False)
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task_json: dict = deferred(db.Column(db.JSON, nullable=False)) # type: ignore
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timestamp: float = db.Column(db.DECIMAL(17, 6), nullable=False)
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task_id: str = db.Column(db.String(50), nullable=False)
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task_state: str = db.Column(db.String(50), nullable=False)
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bpmn_task_identifier: str = db.Column(db.String(255), nullable=False)
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# timestamp: float = db.Column(db.DECIMAL(17, 6), nullable=False)
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engine_step_start_in_seconds: float | None = db.Column(db.DECIMAL(17, 6))
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engine_step_end_in_seconds: float | None = db.Column(db.DECIMAL(17, 6))
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@ -556,20 +556,30 @@ def process_instance_task_list(
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get_task_data: 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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)
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if spiff_step > 0:
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step_detail = (
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db.session.query(SpiffStepDetailsModel)
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.filter(
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SpiffStepDetailsModel.process_instance_id == process_instance.id,
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SpiffStepDetailsModel.spiff_step == spiff_step,
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)
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.first()
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step_detail_query = step_detail_query.filter(
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SpiffStepDetailsModel.spiff_step <= spiff_step
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)
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if step_detail is not None and process_instance.bpmn_json is not None:
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bpmn_json = json.loads(process_instance.bpmn_json)
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bpmn_json["tasks"] = step_detail.task_json["tasks"]
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bpmn_json["subprocesses"] = step_detail.task_json["subprocesses"]
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process_instance.bpmn_json = json.dumps(bpmn_json)
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step_details = step_detail_query.all()
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bpmn_json = json.loads(process_instance.bpmn_json or "{}")
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tasks = bpmn_json["tasks"]
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# if step_detail is not None and process_instance.bpmn_json is not None:
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for step_detail in step_details:
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if step_detail.task_id in tasks:
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task_data = (
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step_detail.task_json["task_data"] | step_detail.task_json["python_env"]
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)
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if task_data is None:
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task_data = {}
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tasks[step_detail.task_id]["data"] = task_data
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process_instance.bpmn_json = json.dumps(bpmn_json)
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processor = ProcessInstanceProcessor(process_instance)
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@ -30,6 +30,7 @@ from SpiffWorkflow.bpmn.PythonScriptEngine import PythonScriptEngine # type: ig
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from SpiffWorkflow.bpmn.PythonScriptEngineEnvironment import BasePythonScriptEngineEnvironment # type: ignore
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from SpiffWorkflow.bpmn.PythonScriptEngineEnvironment import Box
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from SpiffWorkflow.bpmn.PythonScriptEngineEnvironment import BoxedTaskDataEnvironment
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from SpiffWorkflow.bpmn.serializer.helpers.registry import DefaultRegistry # type: ignore
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from SpiffWorkflow.bpmn.serializer.task_spec import ( # type: ignore
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EventBasedGatewayConverter,
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)
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@ -205,6 +206,13 @@ class NonTaskDataBasedScriptEngineEnvironment(BasePythonScriptEngineEnvironment)
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self.state.update(context)
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exec(script, self.state) # noqa
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# since the task data is not directly mutated when the script executes, need to determine which keys
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# have been deleted from the environment and remove them from task data if present.
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context_keys_to_drop = context.keys() - self.state.keys()
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for key_to_drop in context_keys_to_drop:
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context.pop(key_to_drop)
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self.state = self._user_defined_state(external_methods)
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# the task data needs to be updated with the current state so data references can be resolved properly.
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@ -674,22 +682,44 @@ class ProcessInstanceProcessor:
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"lane_assignment_id": lane_assignment_id,
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}
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def spiff_step_details_mapping(self) -> dict:
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def spiff_step_details_mapping(
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self,
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spiff_task: Optional[SpiffTask] = None,
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start_in_seconds: Optional[float] = 0,
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end_in_seconds: Optional[float] = 0,
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) -> dict:
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"""SaveSpiffStepDetails."""
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# bpmn_json = self.serialize()
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# wf_json = json.loads(bpmn_json)
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default_registry = DefaultRegistry()
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if spiff_task is None:
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# TODO: safer to pass in task vs use last task?
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spiff_task = self.bpmn_process_instance.last_task
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if spiff_task is None:
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return {}
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task_data = default_registry.convert(spiff_task.data)
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python_env = default_registry.convert(
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self._script_engine.environment.last_result()
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)
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task_json: Dict[str, Any] = {
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# "tasks": wf_json["tasks"],
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# "subprocesses": wf_json["subprocesses"],
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# "python_env": self._script_engine.environment.last_result(),
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"task_data": task_data,
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"python_env": python_env,
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}
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return {
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"process_instance_id": self.process_instance_model.id,
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"spiff_step": self.process_instance_model.spiff_step or 1,
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"task_json": task_json,
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"timestamp": round(time.time()),
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# "completed_by_user_id": self.current_user().id,
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"task_id": str(spiff_task.id),
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"task_state": spiff_task.state,
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"bpmn_task_identifier": spiff_task.task_spec.name,
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"engine_step_start_in_seconds": start_in_seconds,
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"engine_step_end_in_seconds": end_in_seconds,
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}
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def spiff_step_details(self) -> SpiffStepDetailsModel:
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@ -1492,6 +1522,9 @@ class ProcessInstanceProcessor:
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# "Subprocess"
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}
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# making a dictionary to ensure we are not shadowing variables in the other methods
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current_task_start_in_seconds = {}
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def should_log(task: SpiffTask) -> bool:
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if (
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task.task_spec.spec_type in tasks_to_log
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@ -1502,12 +1535,17 @@ class ProcessInstanceProcessor:
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def will_complete_task(task: SpiffTask) -> None:
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if should_log(task):
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current_task_start_in_seconds["time"] = time.time()
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self.increment_spiff_step()
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def did_complete_task(task: SpiffTask) -> None:
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if should_log(task):
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self._script_engine.environment.revise_state_with_task_data(task)
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step_details.append(self.spiff_step_details_mapping())
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step_details.append(
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self.spiff_step_details_mapping(
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task, current_task_start_in_seconds["time"], time.time()
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)
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)
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try:
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self.bpmn_process_instance.refresh_waiting_tasks()
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