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139 lines
6.2 KiB
Python
139 lines
6.2 KiB
Python
import logging
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import time
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import click
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from celery import shared_task
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from sqlalchemy import delete, select
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from core.db.session_factory import session_factory
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from core.rag.index_processor.index_processor_factory import IndexProcessorFactory
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from extensions.ext_storage import storage
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from models.dataset import Dataset, Document, SegmentAttachmentBinding
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from models.model import UploadFile
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logger = logging.getLogger(__name__)
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@shared_task(queue="dataset")
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def delete_segment_from_index_task(
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index_node_ids: list, dataset_id: str, document_id: str, segment_ids: list, child_node_ids: list | None = None
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):
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"""
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Async Remove segment from index
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:param index_node_ids:
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:param dataset_id:
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:param document_id:
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Usage: delete_segment_from_index_task.delay(index_node_ids, dataset_id, document_id)
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"""
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logger.info(click.style("Start delete segment from index", fg="green"))
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start_at = time.perf_counter()
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with session_factory.create_session() as session:
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try:
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dataset = session.scalar(select(Dataset).where(Dataset.id == dataset_id).limit(1))
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if not dataset:
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logging.warning("Dataset %s not found, skipping index cleanup", dataset_id)
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return
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dataset_document = session.scalar(select(Document).where(Document.id == document_id).limit(1))
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if not dataset_document:
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return
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if (
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not dataset_document.enabled
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or dataset_document.archived
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or dataset_document.indexing_status != "completed"
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):
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logging.info("Document not in valid state for index operations, skipping")
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return
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doc_form = dataset_document.doc_form
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# Proceed with index cleanup using the index_node_ids directly
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# For actual deletion, we should delete summaries (not just disable them)
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index_processor = IndexProcessorFactory(doc_form).init_index_processor()
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index_processor.clean(
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dataset,
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index_node_ids,
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with_keywords=True,
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delete_child_chunks=True,
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precomputed_child_node_ids=child_node_ids,
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delete_summaries=True, # Actually delete summaries when segment is deleted,
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session=session,
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)
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session.commit()
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if dataset.is_multimodal:
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# delete segment attachment binding
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segment_attachment_bindings = session.scalars(
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select(SegmentAttachmentBinding).where(
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SegmentAttachmentBinding.tenant_id == dataset.tenant_id,
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SegmentAttachmentBinding.dataset_id == dataset.id,
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SegmentAttachmentBinding.document_id == document_id,
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SegmentAttachmentBinding.segment_id.in_(segment_ids),
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)
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).all()
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if segment_attachment_bindings:
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segment_attachment_bind_ids = [i.id for i in segment_attachment_bindings]
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attachment_ids = list(
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dict.fromkeys(binding.attachment_id for binding in segment_attachment_bindings)
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)
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for i in range(0, len(segment_attachment_bind_ids), 1000):
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segment_attachment_bind_delete_stmt = delete(SegmentAttachmentBinding).where(
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SegmentAttachmentBinding.tenant_id == dataset.tenant_id,
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SegmentAttachmentBinding.dataset_id == dataset.id,
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SegmentAttachmentBinding.document_id == document_id,
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SegmentAttachmentBinding.id.in_(segment_attachment_bind_ids[i : i + 1000]),
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)
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session.execute(segment_attachment_bind_delete_stmt)
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session.flush()
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remaining_attachment_ids = set(
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session.scalars(
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select(SegmentAttachmentBinding.attachment_id).where(
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SegmentAttachmentBinding.attachment_id.in_(attachment_ids)
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)
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).all()
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)
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orphan_attachment_ids = [
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attachment_id
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for attachment_id in attachment_ids
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if attachment_id not in remaining_attachment_ids
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]
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if orphan_attachment_ids:
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attachment_storage_keys = list(
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dict.fromkeys(
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session.scalars(
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select(UploadFile.key).where(
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UploadFile.tenant_id == dataset.tenant_id,
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UploadFile.id.in_(orphan_attachment_ids),
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)
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).all()
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)
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)
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index_processor.clean(
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session=session, dataset=dataset, node_ids=orphan_attachment_ids, with_keywords=False
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)
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session.execute(
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delete(UploadFile).where(
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UploadFile.tenant_id == dataset.tenant_id,
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UploadFile.id.in_(orphan_attachment_ids),
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)
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)
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else:
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attachment_storage_keys = []
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session.commit()
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for storage_key in attachment_storage_keys:
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try:
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storage.delete(storage_key)
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except Exception:
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logger.exception("Failed to delete segment attachment from storage, key: %s", storage_key)
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end_at = time.perf_counter()
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logger.info(click.style(f"Segment deleted from index latency: {end_at - start_at}", fg="green"))
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except Exception:
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session.rollback()
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logger.exception("delete segment from index failed")
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