mirror of
https://github.com/MODSetter/SurfSense.git
synced 2026-05-05 23:42:21 +00:00
fix: run ruff formatter to fix code quality
This commit is contained in:
parent
b98c312fb1
commit
e419702ebd
4 changed files with 77 additions and 66 deletions
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@ -48,15 +48,19 @@ def upgrade() -> None:
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from app.tasks.celery_tasks.blocknote_migration_tasks import (
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populate_blocknote_for_documents_task,
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)
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# Queue the task to run asynchronously
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populate_blocknote_for_documents_task.apply_async()
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print("✓ Queued Celery task to populate blocknote_document for existing documents")
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print(
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"✓ Queued Celery task to populate blocknote_document for existing documents"
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)
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except Exception as e:
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# If Celery is not available or task queueing fails, log but don't fail the migration
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print(f"⚠ Warning: Could not queue blocknote population task: {e}")
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print(" You can manually trigger it later with:")
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print(" celery -A app.celery_app call app.tasks.celery_tasks.blocknote_migration_tasks.populate_blocknote_for_documents_task")
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print(
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" celery -A app.celery_app call app.tasks.celery_tasks.blocknote_migration_tasks.populate_blocknote_for_documents_task"
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)
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def downgrade() -> None:
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@ -33,7 +33,7 @@ async def get_editor_content(
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attempts to generate it from chunks (lazy migration).
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"""
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from sqlalchemy.orm import selectinload
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result = await session.execute(
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select(Document)
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.options(selectinload(Document.chunks))
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@ -58,39 +58,39 @@ async def get_editor_content(
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# Lazy migration: Try to generate blocknote_document from chunks
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from app.utils.blocknote_converter import convert_markdown_to_blocknote
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chunks = sorted(document.chunks, key=lambda c: c.id)
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if not chunks:
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raise HTTPException(
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status_code=400,
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detail="This document has no chunks and cannot be edited. Please re-upload to enable editing.",
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)
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# Reconstruct markdown from chunks
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markdown_content = "\n\n".join(chunk.content for chunk in chunks)
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if not markdown_content.strip():
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raise HTTPException(
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status_code=400,
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detail="This document has empty content and cannot be edited.",
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)
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# Convert to BlockNote
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blocknote_json = await convert_markdown_to_blocknote(markdown_content)
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if not blocknote_json:
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raise HTTPException(
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status_code=500,
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detail="Failed to convert document to editable format. Please try again later.",
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)
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# Save the generated blocknote_document (lazy migration)
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document.blocknote_document = blocknote_json
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document.content_needs_reindexing = False
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document.last_edited_at = None
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await session.commit()
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return {
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"document_id": document.id,
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"title": document.title,
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@ -111,7 +111,7 @@ async def save_document(
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Called when user clicks 'Save & Exit'.
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"""
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from app.tasks.celery_tasks.document_reindex_tasks import reindex_document_task
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# Verify ownership
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result = await session.execute(
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select(Document)
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@ -119,27 +119,27 @@ async def save_document(
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.filter(Document.id == document_id, SearchSpace.user_id == user.id)
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)
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document = result.scalars().first()
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if not document:
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raise HTTPException(status_code=404, detail="Document not found")
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blocknote_document = data.get("blocknote_document")
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if not blocknote_document:
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raise HTTPException(status_code=400, detail="blocknote_document is required")
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# Save BlockNote document
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document.blocknote_document = blocknote_document
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document.last_edited_at = datetime.now(UTC)
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document.content_needs_reindexing = True
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await session.commit()
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# Queue reindex task
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reindex_document_task.delay(document_id, str(user.id))
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return {
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"status": "saved",
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"document_id": document_id,
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"message": "Document saved and will be reindexed in the background",
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"last_edited_at": document.last_edited_at.isoformat()
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"last_edited_at": document.last_edited_at.isoformat(),
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}
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@ -36,7 +36,7 @@ def populate_blocknote_for_documents_task(
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):
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"""
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Celery task to populate blocknote_document for existing documents.
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Args:
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document_ids: Optional list of specific document IDs to process.
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If None, processes all documents with blocknote_document IS NULL.
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@ -60,7 +60,7 @@ async def _populate_blocknote_for_documents(
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):
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"""
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Async function to populate blocknote_document for documents.
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Args:
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document_ids: Optional list of specific document IDs to process
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batch_size: Number of documents to process per batch
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@ -69,75 +69,83 @@ async def _populate_blocknote_for_documents(
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try:
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# Build query for documents that need blocknote_document populated
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query = select(Document).where(Document.blocknote_document.is_(None))
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# If specific document IDs provided, filter by them
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if document_ids:
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query = query.where(Document.id.in_(document_ids))
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# Load chunks relationship to avoid N+1 queries
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query = query.options(selectinload(Document.chunks))
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# Execute query
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result = await session.execute(query)
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documents = result.scalars().all()
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total_documents = len(documents)
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logger.info(f"Found {total_documents} documents to process")
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if total_documents == 0:
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logger.info("No documents to process")
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return
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# Process documents in batches
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processed = 0
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failed = 0
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for i in range(0, total_documents, batch_size):
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batch = documents[i : i + batch_size]
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logger.info(f"Processing batch {i // batch_size + 1}: documents {i+1}-{min(i+batch_size, total_documents)}")
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logger.info(
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f"Processing batch {i // batch_size + 1}: documents {i + 1}-{min(i + batch_size, total_documents)}"
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)
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for document in batch:
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try:
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# Use preloaded chunks from selectinload - no need to query again
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chunks = sorted(document.chunks, key=lambda c: c.id)
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if not chunks:
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logger.warning(
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f"Document {document.id} ({document.title}) has no chunks, skipping"
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)
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failed += 1
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continue
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# Reconstruct markdown by concatenating chunk contents
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markdown_content = "\n\n".join(chunk.content for chunk in chunks)
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markdown_content = "\n\n".join(
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chunk.content for chunk in chunks
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)
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if not markdown_content or not markdown_content.strip():
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logger.warning(
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f"Document {document.id} ({document.title}) has empty markdown content, skipping"
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)
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failed += 1
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continue
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# Convert markdown to BlockNote JSON
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blocknote_json = await convert_markdown_to_blocknote(markdown_content)
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blocknote_json = await convert_markdown_to_blocknote(
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markdown_content
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)
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if not blocknote_json:
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logger.warning(
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f"Failed to convert markdown to BlockNote for document {document.id} ({document.title})"
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)
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failed += 1
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continue
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# Update document with blocknote_document (other fields already have correct defaults)
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document.blocknote_document = blocknote_json
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processed += 1
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# Commit every batch_size documents to avoid long transactions
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if processed % batch_size == 0:
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await session.commit()
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logger.info(f"Committed batch: {processed} documents processed so far")
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logger.info(
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f"Committed batch: {processed} documents processed so far"
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)
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except Exception as e:
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logger.error(
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f"Error processing document {document.id} ({document.title}): {e}",
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@ -146,15 +154,15 @@ async def _populate_blocknote_for_documents(
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failed += 1
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# Continue with next document instead of failing entire batch
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continue
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# Commit remaining changes in the batch
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await session.commit()
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logger.info(f"Completed batch {i // batch_size + 1}")
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logger.info(
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f"Migration complete: {processed} documents processed, {failed} failed"
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)
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except Exception as e:
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await session.rollback()
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logger.error(f"Error in blocknote migration task: {e}", exc_info=True)
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@ -35,7 +35,7 @@ def get_celery_session_maker():
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def reindex_document_task(self, document_id: int, user_id: str):
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"""
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Celery task to reindex a document after editing.
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Args:
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document_id: ID of document to reindex
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user_id: ID of user who edited the document
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@ -62,66 +62,65 @@ async def _reindex_document(document_id: int, user_id: str):
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.where(Document.id == document_id)
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)
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document = result.scalars().first()
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if not document:
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logger.error(f"Document {document_id} not found")
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return
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if not document.blocknote_document:
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logger.warning(f"Document {document_id} has no BlockNote content")
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return
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logger.info(f"Reindexing document {document_id} ({document.title})")
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# 1. Convert BlockNote → Markdown
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markdown_content = await convert_blocknote_to_markdown(
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document.blocknote_document
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)
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if not markdown_content:
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logger.error(f"Failed to convert document {document_id} to markdown")
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return
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# 2. Delete old chunks explicitly
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from app.db import Chunk
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await session.execute(
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delete(Chunk).where(Chunk.document_id == document_id)
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)
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await session.execute(delete(Chunk).where(Chunk.document_id == document_id))
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await session.flush() # Ensure old chunks are deleted
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# 3. Create new chunks
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new_chunks = await create_document_chunks(markdown_content)
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# 4. Add new chunks to session
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for chunk in new_chunks:
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chunk.document_id = document_id
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session.add(chunk)
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logger.info(f"Created {len(new_chunks)} chunks for document {document_id}")
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# 5. Regenerate summary
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user_llm = await get_user_long_context_llm(
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session, user_id, document.search_space_id
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)
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document_metadata = {
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"title": document.title,
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"document_type": document.document_type.value,
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}
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summary_content, summary_embedding = await generate_document_summary(
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markdown_content, user_llm, document_metadata
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)
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# 6. Update document
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document.content = summary_content
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document.embedding = summary_embedding
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document.content_needs_reindexing = False
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await session.commit()
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logger.info(f"Successfully reindexed document {document_id}")
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except Exception as e:
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await session.rollback()
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logger.error(f"Error reindexing document {document_id}: {e}", exc_info=True)
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