| 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() |
| |
| 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) |
|
|
