import datetime import logging import time import click from celery import shared_task from werkzeug.exceptions import NotFound from core.rag.datasource.vdb.vector_factory import Vector from core.rag.models.document import Document from extensions.ext_database import db from extensions.ext_redis import redis_client from models.dataset import Dataset from models.model import App, AppAnnotationSetting, MessageAnnotation from services.dataset_service import DatasetCollectionBindingService @shared_task(queue="dataset") def enable_annotation_reply_task( job_id: str, app_id: str, user_id: str, tenant_id: str, score_threshold: float, embedding_provider_name: str, embedding_model_name: str, ): """ Async enable annotation reply task """ logging.info(click.style("Start add app annotation to index: {}".format(app_id), fg="green")) start_at = time.perf_counter() # get app info app = db.session.query(App).filter(App.id == app_id, App.tenant_id == tenant_id, App.status == "normal").first() if not app: raise NotFound("App not found") annotations = db.session.query(MessageAnnotation).filter(MessageAnnotation.app_id == app_id).all() enable_app_annotation_key = "enable_app_annotation_{}".format(str(app_id)) enable_app_annotation_job_key = "enable_app_annotation_job_{}".format(str(job_id)) try: documents = [] dataset_collection_binding = DatasetCollectionBindingService.get_dataset_collection_binding( embedding_provider_name, embedding_model_name, "annotation" ) annotation_setting = ( db.session.query(AppAnnotationSetting).filter(AppAnnotationSetting.app_id == app_id).first() ) if annotation_setting: annotation_setting.score_threshold = score_threshold annotation_setting.collection_binding_id = dataset_collection_binding.id annotation_setting.updated_user_id = user_id annotation_setting.updated_at = datetime.datetime.now(datetime.timezone.utc).replace(tzinfo=None) db.session.add(annotation_setting) else: new_app_annotation_setting = AppAnnotationSetting( app_id=app_id, score_threshold=score_threshold, collection_binding_id=dataset_collection_binding.id, created_user_id=user_id, updated_user_id=user_id, ) db.session.add(new_app_annotation_setting) dataset = Dataset( id=app_id, tenant_id=tenant_id, indexing_technique="high_quality", embedding_model_provider=embedding_provider_name, embedding_model=embedding_model_name, collection_binding_id=dataset_collection_binding.id, ) if annotations: for annotation in annotations: document = Document( page_content=annotation.question, metadata={"annotation_id": annotation.id, "app_id": app_id, "doc_id": annotation.id}, ) documents.append(document) vector = Vector(dataset, attributes=["doc_id", "annotation_id", "app_id"]) try: vector.delete_by_metadata_field("app_id", app_id) except Exception as e: logging.info(click.style("Delete annotation index error: {}".format(str(e)), fg="red")) vector.create(documents) db.session.commit() redis_client.setex(enable_app_annotation_job_key, 600, "completed") end_at = time.perf_counter() logging.info( click.style("App annotations added to index: {} latency: {}".format(app_id, end_at - start_at), fg="green") ) except Exception as e: logging.exception("Annotation batch created index failed:{}".format(str(e))) redis_client.setex(enable_app_annotation_job_key, 600, "error") enable_app_annotation_error_key = "enable_app_annotation_error_{}".format(str(job_id)) redis_client.setex(enable_app_annotation_error_key, 600, str(e)) db.session.rollback() finally: redis_client.delete(enable_app_annotation_key)