dify/api/tasks/delete_segment_from_index_task.py
Jyong 9affc546c6
Feat/support multimodal embedding (#29115)
Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>
2025-12-09 14:41:46 +08:00

75 lines
2.9 KiB
Python

import logging
import time
import click
from celery import shared_task
from core.rag.index_processor.index_processor_factory import IndexProcessorFactory
from extensions.ext_database import db
from models.dataset import Dataset, Document, SegmentAttachmentBinding
from models.model import UploadFile
logger = logging.getLogger(__name__)
@shared_task(queue="dataset")
def delete_segment_from_index_task(
index_node_ids: list, dataset_id: str, document_id: str, segment_ids: list, child_node_ids: list | None = None
):
"""
Async Remove segment from index
:param index_node_ids:
:param dataset_id:
:param document_id:
Usage: delete_segment_from_index_task.delay(index_node_ids, dataset_id, document_id)
"""
logger.info(click.style("Start delete segment from index", fg="green"))
start_at = time.perf_counter()
try:
dataset = db.session.query(Dataset).where(Dataset.id == dataset_id).first()
if not dataset:
logging.warning("Dataset %s not found, skipping index cleanup", dataset_id)
return
dataset_document = db.session.query(Document).where(Document.id == document_id).first()
if not dataset_document:
return
if not dataset_document.enabled or dataset_document.archived or dataset_document.indexing_status != "completed":
logging.info("Document not in valid state for index operations, skipping")
return
doc_form = dataset_document.doc_form
# Proceed with index cleanup using the index_node_ids directly
index_processor = IndexProcessorFactory(doc_form).init_index_processor()
index_processor.clean(
dataset,
index_node_ids,
with_keywords=True,
delete_child_chunks=True,
precomputed_child_node_ids=child_node_ids,
)
if dataset.is_multimodal:
# delete segment attachment binding
segment_attachment_bindings = (
db.session.query(SegmentAttachmentBinding)
.where(SegmentAttachmentBinding.segment_id.in_(segment_ids))
.all()
)
if segment_attachment_bindings:
attachment_ids = [binding.attachment_id for binding in segment_attachment_bindings]
index_processor.clean(dataset=dataset, node_ids=attachment_ids, with_keywords=False)
for binding in segment_attachment_bindings:
db.session.delete(binding)
# delete upload file
db.session.query(UploadFile).where(UploadFile.id.in_(attachment_ids)).delete(synchronize_session=False)
db.session.commit()
end_at = time.perf_counter()
logger.info(click.style(f"Segment deleted from index latency: {end_at - start_at}", fg="green"))
except Exception:
logger.exception("delete segment from index failed")
finally:
db.session.close()