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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 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")
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