225 lines
8.9 KiB
Python
225 lines
8.9 KiB
Python
import uuid
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from crc.api.stats import update_workflow_stats, log_task_complete
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from crc import session
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from crc.api.common import ApiError, ApiErrorSchema
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from crc.models.api_models import Task, WorkflowApi, WorkflowApiSchema
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from crc.models.file import FileModel, LookupDataModel, LookupDataSchema
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from crc.models.stats import WorkflowStatsModel, TaskEventModel
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from crc.models.workflow import WorkflowModel, WorkflowSpecModelSchema, WorkflowSpecModel, WorkflowSpecCategoryModel, \
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WorkflowSpecCategoryModelSchema
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from crc.services.file_service import FileService
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from crc.services.study_service import StudyService
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from crc.services.workflow_processor import WorkflowProcessor
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from crc.services.workflow_service import WorkflowService
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def all_specifications():
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schema = WorkflowSpecModelSchema(many=True)
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return schema.dump(session.query(WorkflowSpecModel).all())
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def add_workflow_specification(body):
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new_spec: WorkflowSpecModel = WorkflowSpecModelSchema().load(body, session=session)
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session.add(new_spec)
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session.commit()
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return WorkflowSpecModelSchema().dump(new_spec)
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def get_workflow_specification(spec_id):
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if spec_id is None:
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raise ApiError('unknown_spec', 'Please provide a valid Workflow Specification ID.')
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spec: WorkflowSpecModel = session.query(WorkflowSpecModel).filter_by(id=spec_id).first()
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if spec is None:
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raise ApiError('unknown_spec', 'The Workflow Specification "' + spec_id + '" is not recognized.')
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return WorkflowSpecModelSchema().dump(spec)
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def validate_workflow_specification(spec_id):
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errors = []
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try:
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WorkflowService.test_spec(spec_id)
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except ApiError as ae:
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errors.append(ae)
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return ApiErrorSchema(many=True).dump(errors)
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def update_workflow_specification(spec_id, body):
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if spec_id is None:
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raise ApiError('unknown_spec', 'Please provide a valid Workflow Spec ID.')
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spec = session.query(WorkflowSpecModel).filter_by(id=spec_id).first()
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if spec is None:
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raise ApiError('unknown_study', 'The spec "' + spec_id + '" is not recognized.')
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schema = WorkflowSpecModelSchema()
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spec = schema.load(body, session=session, instance=spec, partial=True)
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session.add(spec)
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session.commit()
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return schema.dump(spec)
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def delete_workflow_specification(spec_id):
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if spec_id is None:
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raise ApiError('unknown_spec', 'Please provide a valid Workflow Specification ID.')
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spec: WorkflowSpecModel = session.query(WorkflowSpecModel).filter_by(id=spec_id).first()
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if spec is None:
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raise ApiError('unknown_spec', 'The Workflow Specification "' + spec_id + '" is not recognized.')
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# Delete all items in the database related to the deleted workflow spec.
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files = session.query(FileModel).filter_by(workflow_spec_id=spec_id).all()
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for file in files:
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FileService.delete_file(file.id)
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# Delete all stats and workflow models related to this specification
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for workflow in session.query(WorkflowModel).filter_by(workflow_spec_id=spec_id):
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StudyService.delete_workflow(workflow)
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session.query(WorkflowSpecModel).filter_by(id=spec_id).delete()
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session.commit()
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def __get_workflow_api_model(processor: WorkflowProcessor, status_data=None):
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spiff_tasks = processor.get_all_user_tasks()
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user_tasks = list(map(WorkflowService.spiff_task_to_api_task, spiff_tasks))
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is_active = True
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if status_data is not None and processor.workflow_spec_id in status_data:
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is_active = status_data[processor.workflow_spec_id]
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workflow_api = WorkflowApi(
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id=processor.get_workflow_id(),
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status=processor.get_status(),
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last_task=WorkflowService.spiff_task_to_api_task(processor.bpmn_workflow.last_task),
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next_task=None,
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previous_task=None,
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user_tasks=user_tasks,
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workflow_spec_id=processor.workflow_spec_id,
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spec_version=processor.get_spec_version(),
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is_latest_spec=processor.get_spec_version() == processor.get_latest_version_string(processor.workflow_spec_id),
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)
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next_task = processor.next_task()
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if next_task:
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workflow_api.next_task = WorkflowService.spiff_task_to_api_task(next_task)
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workflow_api.parent_task = processor.previous_task(next_task)
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return workflow_api
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def get_workflow(workflow_id, soft_reset=False, hard_reset=False):
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workflow_model: WorkflowModel = session.query(WorkflowModel).filter_by(id=workflow_id).first()
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processor = WorkflowProcessor(workflow_model, soft_reset=soft_reset, hard_reset=hard_reset)
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workflow_api_model = __get_workflow_api_model(processor)
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update_workflow_stats(workflow_model, workflow_api_model)
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return WorkflowApiSchema().dump(workflow_api_model)
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def delete_workflow(workflow_id):
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StudyService.delete_workflow(workflow_id)
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def set_current_task(workflow_id, task_id):
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workflow_model = session.query(WorkflowModel).filter_by(id=workflow_id).first()
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processor = WorkflowProcessor(workflow_model)
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task_id = uuid.UUID(task_id)
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last_task = processor.bpmn_workflow.last_task
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task = processor.bpmn_workflow.get_task(task_id)
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task.reset_token(reset_data=False) # we could optionally clear the previous data.
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#processor.bpmn_workflow.last_task = last_task
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workflow_model.bpmn_workflow_json = processor.serialize()
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session.add(workflow_model)
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session.commit()
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workflow_api_model = __get_workflow_api_model(processor)
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update_workflow_stats(workflow_model, workflow_api_model)
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return WorkflowApiSchema().dump(workflow_api_model)
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def update_task(workflow_id, task_id, body):
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workflow_model = session.query(WorkflowModel).filter_by(id=workflow_id).first()
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processor = WorkflowProcessor(workflow_model)
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task_id = uuid.UUID(task_id)
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task = processor.bpmn_workflow.get_task(task_id)
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if task.state != task.READY:
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raise ApiError("invalid_state", "You may not update a task unless it is in the READY state. "
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"Consider calling a token reset to make this task Ready.")
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task.update_data(body)
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processor.complete_task(task)
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processor.do_engine_steps()
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workflow_model.last_completed_task_id = task.id
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workflow_model.bpmn_workflow_json = processor.serialize()
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session.add(workflow_model)
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session.commit()
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workflow_api_model = __get_workflow_api_model(processor)
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update_workflow_stats(workflow_model, workflow_api_model)
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log_task_complete(workflow_model, task_id)
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return WorkflowApiSchema().dump(workflow_api_model)
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def list_workflow_spec_categories():
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schema = WorkflowSpecCategoryModelSchema(many=True)
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return schema.dump(session.query(WorkflowSpecCategoryModel).all())
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def get_workflow_spec_category(cat_id):
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schema = WorkflowSpecCategoryModelSchema()
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return schema.dump(session.query(WorkflowSpecCategoryModel).filter_by(id=cat_id).first())
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def add_workflow_spec_category(body):
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schema = WorkflowSpecCategoryModelSchema()
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new_cat: WorkflowSpecCategoryModel = schema.load(body, session=session)
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session.add(new_cat)
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session.commit()
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return schema.dump(new_cat)
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def update_workflow_spec_category(cat_id, body):
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if cat_id is None:
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raise ApiError('unknown_category', 'Please provide a valid Workflow Spec Category ID.')
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category = session.query(WorkflowSpecCategoryModel).filter_by(id=cat_id).first()
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if category is None:
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raise ApiError('unknown_category', 'The category "' + cat_id + '" is not recognized.')
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schema = WorkflowSpecCategoryModelSchema()
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category = schema.load(body, session=session, instance=category, partial=True)
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session.add(category)
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session.commit()
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return schema.dump(category)
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def delete_workflow_spec_category(cat_id):
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session.query(WorkflowSpecCategoryModel).filter_by(id=cat_id).delete()
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session.commit()
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def lookup(workflow_id, task_id, field_id, query, limit):
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"""
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given a field in a task, attempts to find the lookup table associated with that field
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and runs a full-text query against it to locate the values and labels that would be
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returned to a type-ahead box.
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"""
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workflow_model = session.query(WorkflowModel).filter_by(id=workflow_id).first()
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if not workflow_model:
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raise ApiError("unknown_workflow", "No workflow found with id: %i" % workflow_id)
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processor = WorkflowProcessor(workflow_model)
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task_id = uuid.UUID(task_id)
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spiff_task = processor.bpmn_workflow.get_task(task_id)
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if not spiff_task:
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raise ApiError("unknown_task", "No task with %s found in workflow: %i" % (task_id, workflow_id))
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field = None
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for f in spiff_task.task_spec.form.fields:
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if f.id == field_id:
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field = f
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if not field:
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raise ApiError("unknown_field", "No field named %s in task %s" % (task_id, spiff_task.task_spec.name))
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lookup_table = WorkflowService.get_lookup_table(spiff_task, field)
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lookup_data = WorkflowService.run_lookup_query(lookup_table, query, limit)
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return LookupDataSchema(many=True).dump(lookup_data) |