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fix(library-desk): update Qdrant client to use query_points API

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The Qdrant client API changed from search() to query_points().
Updated both search() and find_similar_chunks() methods.

All integration tests now passing: 14/14 ✓

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

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
This commit is contained in:
jpmschweitzer
2025-12-08 19:13:33 +01:00
co-authored by Claude Opus 4.5
parent 1a41e5bb80
commit 5263523fcd
1 changed files with 17 additions and 17 deletions
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services/library-desk/src/clients/qdrant_client.py
+17 -17
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@@ -195,9 +195,9 @@ class QdrantClientWrapper:
query_filter = Filter(must=conditions)
try:
results = self.client.search(
response = self.client.query_points(
collection_name=collection_name,
query_vector=query_vector,
query=query_vector,
limit=limit,
score_threshold=score_threshold,
query_filter=query_filter,
@@ -206,14 +206,14 @@ class QdrantClientWrapper:
return [
{
"id": str(result.id),
"score": result.score,
"doc_id": result.payload["doc_id"],
"chunk_index": result.payload["chunk_index"],
"content": result.payload["content"],
"metadata": result.payload.get("metadata", {})
"id": str(point.id),
"score": point.score,
"doc_id": point.payload["doc_id"],
"chunk_index": point.payload["chunk_index"],
"content": point.payload["content"],
"metadata": point.payload.get("metadata", {})
}
for result in results
for point in response.points
]
except Exception as e:
logger.error(f"Search failed: {e}", exc_info=True)
@@ -386,9 +386,9 @@ class QdrantClientWrapper:
# (could aggregate multiple chunks for better results)
first_vector = source_points[0].vector
results = self.client.search(
response = self.client.query_points(
collection_name=collection_name,
query_vector=first_vector,
query=first_vector,
limit=limit * 2, # Get more to filter out same doc
with_payload=True
)
@@ -396,13 +396,13 @@ class QdrantClientWrapper:
# Filter out chunks from same document
similar = [
{
"id": str(r.id),
"score": r.score,
"doc_id": r.payload["doc_id"],
"content": r.payload["content"]
"id": str(point.id),
"score": point.score,
"doc_id": point.payload["doc_id"],
"content": point.payload["content"]
}
for r in results
if r.payload["doc_id"] != doc_id
for point in response.points
if point.payload["doc_id"] != doc_id
]
return similar[:limit]