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