import logging import time import click from celery import shared_task from core.rag.datasource.vdb.vector_factory import Vector from core.rag.models.document import Document from models.dataset import Dataset from services.dataset_service import DatasetCollectionBindingService @shared_task(queue='dataset') def add_annotation_to_index_task(annotation_id: str, question: str, tenant_id: str, app_id: str, collection_binding_id: str): """ Add annotation to index. :param annotation_id: annotation id :param question: question :param tenant_id: tenant id :param app_id: app id :param collection_binding_id: embedding binding id Usage: clean_dataset_task.delay(dataset_id, tenant_id, indexing_technique, index_struct) """ logging.info(click.style('Start build index for annotation: {}'.format(annotation_id), fg='green')) start_at = time.perf_counter() try: dataset_collection_binding = DatasetCollectionBindingService.get_dataset_collection_binding_by_id_and_type( collection_binding_id, 'annotation' ) dataset = Dataset( id=app_id, tenant_id=tenant_id, indexing_technique='high_quality', embedding_model_provider=dataset_collection_binding.provider_name, embedding_model=dataset_collection_binding.model_name, collection_binding_id=dataset_collection_binding.id ) document = Document( page_content=question, metadata={ "annotation_id": annotation_id, "app_id": app_id, "doc_id": annotation_id } ) vector = Vector(dataset, attributes=['doc_id', 'annotation_id', 'app_id']) vector.create([document], duplicate_check=True) end_at = time.perf_counter() logging.info( click.style( 'Build index successful for annotation: {} latency: {}'.format(annotation_id, end_at - start_at), fg='green')) except Exception: logging.exception("Build index for annotation failed")