dify/api/tasks/delete_segment_from_index_task.py

139 lines
6.2 KiB
Python

import logging
import time
import click
from celery import shared_task
from sqlalchemy import delete, select
from core.db.session_factory import session_factory
from core.rag.index_processor.index_processor_factory import IndexProcessorFactory
from extensions.ext_storage import storage
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()
with session_factory.create_session() as session:
try:
dataset = session.scalar(select(Dataset).where(Dataset.id == dataset_id).limit(1))
if not dataset:
logging.warning("Dataset %s not found, skipping index cleanup", dataset_id)
return
dataset_document = session.scalar(select(Document).where(Document.id == document_id).limit(1))
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
# For actual deletion, we should delete summaries (not just disable them)
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,
delete_summaries=True, # Actually delete summaries when segment is deleted,
session=session,
)
session.commit()
if dataset.is_multimodal:
# delete segment attachment binding
segment_attachment_bindings = session.scalars(
select(SegmentAttachmentBinding).where(
SegmentAttachmentBinding.tenant_id == dataset.tenant_id,
SegmentAttachmentBinding.dataset_id == dataset.id,
SegmentAttachmentBinding.document_id == document_id,
SegmentAttachmentBinding.segment_id.in_(segment_ids),
)
).all()
if segment_attachment_bindings:
segment_attachment_bind_ids = [i.id for i in segment_attachment_bindings]
attachment_ids = list(
dict.fromkeys(binding.attachment_id for binding in segment_attachment_bindings)
)
for i in range(0, len(segment_attachment_bind_ids), 1000):
segment_attachment_bind_delete_stmt = delete(SegmentAttachmentBinding).where(
SegmentAttachmentBinding.tenant_id == dataset.tenant_id,
SegmentAttachmentBinding.dataset_id == dataset.id,
SegmentAttachmentBinding.document_id == document_id,
SegmentAttachmentBinding.id.in_(segment_attachment_bind_ids[i : i + 1000]),
)
session.execute(segment_attachment_bind_delete_stmt)
session.flush()
remaining_attachment_ids = set(
session.scalars(
select(SegmentAttachmentBinding.attachment_id).where(
SegmentAttachmentBinding.attachment_id.in_(attachment_ids)
)
).all()
)
orphan_attachment_ids = [
attachment_id
for attachment_id in attachment_ids
if attachment_id not in remaining_attachment_ids
]
if orphan_attachment_ids:
attachment_storage_keys = list(
dict.fromkeys(
session.scalars(
select(UploadFile.key).where(
UploadFile.tenant_id == dataset.tenant_id,
UploadFile.id.in_(orphan_attachment_ids),
)
).all()
)
)
index_processor.clean(
session=session, dataset=dataset, node_ids=orphan_attachment_ids, with_keywords=False
)
session.execute(
delete(UploadFile).where(
UploadFile.tenant_id == dataset.tenant_id,
UploadFile.id.in_(orphan_attachment_ids),
)
)
else:
attachment_storage_keys = []
session.commit()
for storage_key in attachment_storage_keys:
try:
storage.delete(storage_key)
except Exception:
logger.exception("Failed to delete segment attachment from storage, key: %s", storage_key)
end_at = time.perf_counter()
logger.info(click.style(f"Segment deleted from index latency: {end_at - start_at}", fg="green"))
except Exception:
session.rollback()
logger.exception("delete segment from index failed")