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nextcloud-mcp-server/nextcloud_mcp_server/vector/scanner.py
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Chris Coutinho 640a7818f9 fix: optimize Notes API pagination with pruneBefore parameter
The Nextcloud Notes API intentionally returns all note IDs (with only 'id'
field) in the last chunk to enable deletion detection. Without using the
pruneBefore parameter, this causes duplicates - all notes appear with full
data in chunks, then again with minimal data in the last chunk.

This commit implements proper pruneBefore support:
- NotesClient.get_all_notes() now accepts prune_before timestamp parameter
- Scanner calculates max(indexed_at) from Qdrant to use as prune threshold
- Only notes modified after this timestamp are sent with full data
- Deduplication logic handles the API's deletion detection pattern
- Significantly reduces data transfer for incremental syncs

The behavior is documented in Notes API v1 spec - this is not an API bug,
but a feature we weren't utilizing correctly.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-10 07:19:26 +01:00

288 lines
9.9 KiB
Python

"""Scanner task for vector database synchronization.
Periodically scans enabled users' content and queues changed documents for processing.
"""
import logging
import time
from dataclasses import dataclass
import anyio
from anyio.streams.memory import MemoryObjectSendStream
from qdrant_client.models import FieldCondition, Filter, MatchValue
from nextcloud_mcp_server.client import NextcloudClient
from nextcloud_mcp_server.config import get_settings
from nextcloud_mcp_server.vector.qdrant_client import get_qdrant_client
logger = logging.getLogger(__name__)
@dataclass
class DocumentTask:
"""Document task for processing queue."""
user_id: str
doc_id: str
doc_type: str # "note", "file", "calendar"
operation: str # "index" or "delete"
modified_at: int
# Track documents potentially deleted (grace period before actual deletion)
# Format: {(user_id, doc_id): first_missing_timestamp}
_potentially_deleted: dict[tuple[str, str], float] = {}
async def get_last_indexed_timestamp(user_id: str) -> int | None:
"""Get the most recent indexed_at timestamp for user's notes in Qdrant.
This timestamp can be used as pruneBefore parameter to optimize data transfer
when fetching notes - only notes modified after this timestamp will be sent
with full data.
Args:
user_id: User to query
Returns:
Unix timestamp of most recently indexed note, or None if no notes indexed yet
"""
try:
qdrant_client = await get_qdrant_client()
# Query for user's notes, ordered by indexed_at descending, limit 1
scroll_result = await qdrant_client.scroll(
collection_name=get_settings().get_collection_name(),
scroll_filter=Filter(
must=[
FieldCondition(key="user_id", match=MatchValue(value=user_id)),
FieldCondition(key="doc_type", match=MatchValue(value="note")),
]
),
with_payload=["indexed_at"],
with_vectors=False,
limit=10000, # Get all to find max
)
# Find max indexed_at across all results
num_points = len(scroll_result[0]) if scroll_result[0] else 0
logger.info(f"Found {num_points} indexed notes in Qdrant for user {user_id}")
if scroll_result[0]:
timestamps = [
point.payload.get("indexed_at", 0) for point in scroll_result[0]
]
max_timestamp = max(timestamps)
logger.info(
f"Max indexed_at: {max_timestamp}, timestamps sample: {timestamps[:3]}"
)
return int(max_timestamp) if max_timestamp > 0 else None
logger.info(f"No indexed notes found for user {user_id}")
return None
except Exception as e:
logger.warning(f"Failed to get last indexed timestamp: {e}", exc_info=True)
return None
async def scanner_task(
send_stream: MemoryObjectSendStream[DocumentTask],
shutdown_event: anyio.Event,
wake_event: anyio.Event,
nc_client: NextcloudClient,
user_id: str,
):
"""
Periodic scanner that detects changed documents for enabled user.
For BasicAuth mode, scans a single user with credentials available at runtime.
Args:
send_stream: Stream to send changed documents to processors
shutdown_event: Event signaling shutdown
wake_event: Event to trigger immediate scan
nc_client: Authenticated Nextcloud client
user_id: User to scan
"""
logger.info(f"Scanner task started for user: {user_id}")
settings = get_settings()
async with send_stream:
while not shutdown_event.is_set():
try:
# Scan user documents
await scan_user_documents(
user_id=user_id,
send_stream=send_stream,
nc_client=nc_client,
)
except Exception as e:
logger.error(f"Scanner error: {e}", exc_info=True)
# Sleep until next interval or wake event
try:
with anyio.move_on_after(settings.vector_sync_scan_interval):
# Wait for wake event or shutdown (whichever comes first)
await wake_event.wait()
except anyio.get_cancelled_exc_class():
# Shutdown, exit loop
break
logger.info("Scanner task stopped - stream closed")
async def scan_user_documents(
user_id: str,
send_stream: MemoryObjectSendStream[DocumentTask],
nc_client: NextcloudClient,
initial_sync: bool = False,
):
"""
Scan a single user's documents and send changes to processor stream.
Args:
user_id: User to scan
send_stream: Stream to send changed documents to processors
nc_client: Authenticated Nextcloud client
initial_sync: If True, send all documents (first-time sync)
"""
import random
scan_id = random.randint(1000, 9999)
logger.info(
f"[SCAN-{scan_id}] Starting scan for user: {user_id}, initial_sync={initial_sync}"
)
# Calculate prune timestamp for optimized data transfer
# Only notes modified after this will be sent with full data
prune_before = None if initial_sync else await get_last_indexed_timestamp(user_id)
if prune_before:
logger.info(
f"[SCAN-{scan_id}] Using pruneBefore={prune_before} to optimize data transfer"
)
# Fetch all notes from Nextcloud
notes = [
note async for note in nc_client.notes.get_all_notes(prune_before=prune_before)
]
logger.info(f"[SCAN-{scan_id}] Found {len(notes)} notes for {user_id}")
if initial_sync:
# Send everything on first sync
for note in notes:
modified_at = note.get("modified", 0)
await send_stream.send(
DocumentTask(
user_id=user_id,
doc_id=str(note["id"]),
doc_type="note",
operation="index",
modified_at=modified_at,
)
)
logger.info(f"Sent {len(notes)} documents for initial sync: {user_id}")
return
# Get indexed state from Qdrant
qdrant_client = await get_qdrant_client()
scroll_result = await qdrant_client.scroll(
collection_name=get_settings().get_collection_name(),
scroll_filter=Filter(
must=[
FieldCondition(key="user_id", match=MatchValue(value=user_id)),
FieldCondition(key="doc_type", match=MatchValue(value="note")),
]
),
with_payload=["doc_id", "indexed_at"],
with_vectors=False,
limit=10000,
)
indexed_docs = {
point.payload["doc_id"]: point.payload["indexed_at"]
for point in scroll_result[0]
}
logger.debug(f"Found {len(indexed_docs)} indexed documents in Qdrant")
# Compare and queue changes
queued = 0
nextcloud_doc_ids = {str(note["id"]) for note in notes}
for note in notes:
doc_id = str(note["id"])
indexed_at = indexed_docs.get(doc_id)
modified_at = note.get("modified", 0)
# If document reappeared, remove from potentially_deleted
doc_key = (user_id, doc_id)
if doc_key in _potentially_deleted:
logger.debug(
f"Document {doc_id} reappeared, removing from deletion grace period"
)
del _potentially_deleted[doc_key]
# Send if never indexed or modified since last index
if indexed_at is None or modified_at > indexed_at:
await send_stream.send(
DocumentTask(
user_id=user_id,
doc_id=doc_id,
doc_type="note",
operation="index",
modified_at=modified_at,
)
)
queued += 1
# Check for deleted documents (in Qdrant but not in Nextcloud)
# Use grace period: only delete after 2 consecutive scans confirm absence
settings = get_settings()
grace_period = settings.vector_sync_scan_interval * 1.5 # Allow 1.5 scan intervals
current_time = time.time()
for doc_id in indexed_docs:
if doc_id not in nextcloud_doc_ids:
doc_key = (user_id, doc_id)
if doc_key in _potentially_deleted:
# Already marked as potentially deleted, check if grace period elapsed
first_missing_time = _potentially_deleted[doc_key]
time_missing = current_time - first_missing_time
if time_missing >= grace_period:
# Grace period elapsed, send for deletion
logger.info(
f"Document {doc_id} missing for {time_missing:.1f}s "
f"(>{grace_period:.1f}s grace period), sending deletion"
)
await send_stream.send(
DocumentTask(
user_id=user_id,
doc_id=doc_id,
doc_type="note",
operation="delete",
modified_at=0,
)
)
queued += 1
# Remove from tracking after sending deletion
del _potentially_deleted[doc_key]
else:
logger.debug(
f"Document {doc_id} still missing "
f"({time_missing:.1f}s/{grace_period:.1f}s grace period)"
)
else:
# First time missing, add to grace period tracking
logger.debug(
f"Document {doc_id} missing for first time, starting grace period"
)
_potentially_deleted[doc_key] = current_time
if queued > 0:
logger.info(f"Sent {queued} documents for incremental sync: {user_id}")
else:
logger.debug(f"No changes detected for {user_id}")