|
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 add_annotation_to_index_task( |
|
annotation_id: str, question: str, tenant_id: str, app_id: str, collection_binding_id: str |
|
): |
|
""" |
|
Add 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 build 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.create([document], duplicate_check=True) |
|
|
|
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") |
|
|
