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- 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 update_annotation_to_index_task(annotation_id: str, question: str, tenant_id: str, app_id: str,
- collection_binding_id: str):
- """
- Update 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 update 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.delete_by_metadata_field('annotation_id', annotation_id)
- vector.add_texts([document])
- 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")
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