SurfSense/surfsense_backend/app/services/notion/kb_sync_service.py

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import logging
from datetime import datetime
from sqlalchemy import delete
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from sqlalchemy.ext.asyncio import AsyncSession
from app.db import Chunk, Document
from app.services.llm_service import get_user_long_context_llm
from app.utils.document_converters import (
create_document_chunks,
embed_text,
generate_content_hash,
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generate_document_summary,
)
logger = logging.getLogger(__name__)
class NotionKBSyncService:
def __init__(self, db_session: AsyncSession):
self.db_session = db_session
async def sync_after_update(
self,
document_id: int,
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appended_content: str,
user_id: str,
search_space_id: int,
appended_block_ids: list[str] | None = None,
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) -> dict:
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from app.tasks.connector_indexers.base import (
get_current_timestamp,
safe_set_chunks,
)
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try:
logger.debug(f"Starting KB sync for document {document_id}")
document = await self.db_session.get(Document, document_id)
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if not document:
logger.warning(f"Document {document_id} not found in KB")
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return {"status": "not_indexed"}
page_id = document.document_metadata.get("page_id")
if not page_id:
logger.error(f"Document {document_id} missing page_id in metadata")
return {"status": "error", "message": "Missing page_id in metadata"}
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logger.debug(
f"Document found: id={document_id}, page_id={page_id}, connector_id={document.connector_id}"
)
from app.connectors.notion_history import NotionHistoryConnector
notion_connector = NotionHistoryConnector(
session=self.db_session, connector_id=document.connector_id
)
logger.debug(f"Fetching page content from Notion for page {page_id}")
blocks, _ = await notion_connector.get_page_content(
page_id, page_title=None
)
from app.utils.notion_utils import extract_all_block_ids, process_blocks
fetched_content = process_blocks(blocks)
logger.debug(f"Fetched content length: {len(fetched_content)} chars")
if not fetched_content or not fetched_content.strip():
logger.warning(
f"Fetched empty content for page {page_id} - document will have minimal searchable text"
)
content_verified = False
if appended_block_ids:
fetched_block_ids = set(extract_all_block_ids(blocks))
found_blocks = [
bid for bid in appended_block_ids if bid in fetched_block_ids
]
logger.debug(
f"Block verification: {len(found_blocks)}/{len(appended_block_ids)} blocks found"
)
logger.debug(
f"Appended IDs (first 3): {appended_block_ids[:3]}, Fetched IDs count: {len(fetched_block_ids)}"
)
if len(found_blocks) >= len(appended_block_ids) * 0.8: # 80% threshold
logger.info(
f"Content verified fresh: found {len(found_blocks)}/{len(appended_block_ids)} appended blocks"
)
full_content = fetched_content
content_verified = True
else:
logger.warning(
"No appended blocks found in fetched content - appending manually"
)
full_content = fetched_content + "\n\n" + appended_content
content_verified = False
else:
logger.warning("No block IDs provided - using fetched content as-is")
full_content = fetched_content
content_verified = False
logger.debug(
f"Final content length: {len(full_content)} chars, verified={content_verified}"
)
logger.debug("Generating summary and embeddings")
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user_llm = await get_user_long_context_llm(
self.db_session,
user_id,
search_space_id,
disable_streaming=True, # disable streaming to avoid leaking into the chat
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)
if user_llm:
document_metadata_for_summary = {
"page_title": document.document_metadata.get("page_title"),
"page_id": document.document_metadata.get("page_id"),
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"document_type": "Notion Page",
"connector_type": "Notion",
}
summary_content, summary_embedding = await generate_document_summary(
full_content, user_llm, document_metadata_for_summary
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)
logger.debug(f"Generated summary length: {len(summary_content)} chars")
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else:
logger.warning("No LLM configured - using fallback summary")
summary_content = f"Notion Page: {document.document_metadata.get('page_title')}\n\n{full_content}"
summary_embedding = embed_text(summary_content)
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logger.debug(f"Deleting old chunks for document {document_id}")
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await self.db_session.execute(
delete(Chunk).where(Chunk.document_id == document.id)
)
logger.debug("Creating new chunks")
chunks = await create_document_chunks(full_content)
logger.debug(f"Created {len(chunks)} chunks")
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logger.debug("Updating document fields")
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document.content = summary_content
document.content_hash = generate_content_hash(full_content, search_space_id)
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document.embedding = summary_embedding
document.document_metadata = {
**document.document_metadata,
"indexed_at": datetime.now().strftime("%Y-%m-%d %H:%M:%S"),
}
safe_set_chunks(document, chunks)
document.updated_at = get_current_timestamp()
logger.debug("Committing changes to database")
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await self.db_session.commit()
logger.info(
f"Successfully synced KB for document {document_id}: "
f"summary={len(summary_content)} chars, chunks={len(chunks)}, "
f"content_verified={content_verified}"
)
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return {"status": "success"}
except Exception as e:
logger.error(
f"Failed to sync KB for document {document_id}: {e}", exc_info=True
)
await self.db_session.rollback()
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return {"status": "error", "message": str(e)}