dify/api/tasks/annotation/enable_annotation_reply_task.py

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)