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							- 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.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")
 
-         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)
 
 
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