chore: Review updates
This commit is contained in:
Anush008
parent
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commit
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@ -5,6 +5,12 @@ All notable changes to this project will be documented in this file.
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The format is based on [Keep a Changelog](http://keepachangelog.com/)
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and this project adheres to [Semantic Versioning](http://semver.org/).
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## [Unreleased]
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### Added
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- Qdrant vector store backend (`VECTOR_STORE_TYPE=qdrant`) as an optional `qdrant` extra (#683)
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## [3.1.0] - 2026-08-25
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### Added
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@ -380,7 +386,7 @@ and this project adheres to [Semantic Versioning](http://semver.org/).
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- Prometheus token tracking for deriver and dialectic operations
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- n8n integration
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- Cloud Events for auditable telemetry
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- External Vector Store support for turbopuffer, lancedb, and qdrant with reconciliation flow
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- External Vector Store support for turbopuffer and lancedb with reconciliation flow
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### Changed
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@ -383,7 +383,7 @@ Welcome to the Honcho changelog! This section documents all notable changes to t
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- Prometheus token tracking for deriver and dialectic operations
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- n8n integration
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- Cloud Events for auditable telemetry
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- External Vector Store support for turbopuffer, lancedb, and qdrant with reconciliation flow
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- External Vector Store support for turbopuffer and lancedb with reconciliation flow
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### Changed
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@ -32,7 +32,6 @@ dependencies = [
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"typing-extensions>=4.11.0",
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"json-repair>=0.49.0",
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"turbopuffer>=1.8.1",
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"qdrant-client>=1.18.0",
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"redis>=7.0.0,<8.0.0",
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"cashews[redis]==7.5.0",
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"scikit-learn>=1.6.0",
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@ -44,6 +43,9 @@ lancedb = [
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"lancedb>=0.25.3; sys_platform != \"darwin\" or platform_machine != \"x86_64\"",
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"pyarrow>=19.0.0",
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]
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qdrant = [
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"qdrant-client>=1.18.0",
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]
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[dependency-groups]
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dev = [
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"pytest>=8.2.2",
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@ -76,7 +76,7 @@ async def validate_embedding_schema(
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dims = await _introspect_pgvector_dims_with_retry(engine, schema)
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_assert_pgvector_dims_match(dims, schema=schema, target_dim=target_dim)
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if s.VECTOR_STORE.TYPE in ("turbopuffer", "lancedb"):
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if s.VECTOR_STORE.TYPE in ("turbopuffer", "lancedb", "qdrant"):
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await _sample_external_namespaces(engine, target_dim=target_dim)
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@ -215,7 +215,15 @@ def _create_store_by_type(store_type: str) -> VectorStore:
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return LanceDBVectorStore()
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elif store_type == "qdrant":
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from src.vector_store.qdrant import QdrantVectorStore
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try:
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from src.vector_store.qdrant import QdrantVectorStore
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except ImportError as exc:
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raise RuntimeError(
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"VECTOR_STORE.TYPE is set to 'qdrant', but the 'qdrant-client' "
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+ "package could not be imported. Install Honcho's 'qdrant' extra "
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+ "(for example, `uv sync --extra qdrant`)"
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+ f"Original import error: {exc}"
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) from exc
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return QdrantVectorStore()
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else:
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@ -57,6 +57,10 @@ class QdrantVectorStore(VectorStore):
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conditions.append(
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models.FieldCondition(key=k, match=models.MatchAny(any=v["in"])) # pyright: ignore[reportUnknownArgumentType]
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)
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elif isinstance(v, list):
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conditions.append(
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models.FieldCondition(key=k, match=models.MatchAny(any=v)) # pyright: ignore[reportUnknownArgumentType]
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)
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else:
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conditions.append(
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models.FieldCondition(key=k, match=models.MatchValue(value=v)) # pyright: ignore[reportArgumentType]
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@ -71,7 +75,7 @@ class QdrantVectorStore(VectorStore):
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models.PointStruct(
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id=_point_id(v.id),
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vector=v.embedding,
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payload={"_id": v.id, **v.metadata},
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payload={**v.metadata, "_id": v.id},
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)
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for v in vectors
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]
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@ -93,16 +97,24 @@ class QdrantVectorStore(VectorStore):
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top_k: int = 10,
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filters: dict[str, Any] | None = None,
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max_distance: float | None = None,
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include_attributes: bool | list[str] = True,
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) -> list[VectorQueryResult]:
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if not await self._client.collection_exists(namespace):
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return []
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if include_attributes is False:
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with_payload: bool | list[str] = ["_id"]
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elif isinstance(include_attributes, list):
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with_payload = ["_id", *include_attributes]
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else:
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with_payload = True
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response = await self._client.query_points(
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collection_name=namespace,
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query=embedding,
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limit=top_k,
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query_filter=self._build_filter(filters) if filters else None,
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with_payload=True,
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with_payload=with_payload,
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)
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results: list[VectorQueryResult] = []
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@ -136,3 +148,20 @@ class QdrantVectorStore(VectorStore):
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async def close(self) -> None:
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await self._client.close()
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async def probe_namespace_dim(self, namespace: str) -> int | None:
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if not await self._client.collection_exists(namespace):
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return None
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vectors = (await self._client.get_collection(namespace)).config.params.vectors
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if vectors is None:
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raise VectorStoreError(
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f"Qdrant collection {namespace!r} has no vector configuration"
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)
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if isinstance(vectors, dict):
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if not vectors:
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raise VectorStoreError(
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f"Qdrant collection {namespace!r} has empty named-vector configuration"
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)
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vectors = next(iter(vectors.values()))
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return int(vectors.size)
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@ -0,0 +1,178 @@
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from __future__ import annotations
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import uuid
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from types import SimpleNamespace
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from typing import Any
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from unittest.mock import AsyncMock, MagicMock
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import pytest
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from qdrant_client import models
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from src.exceptions import VectorStoreError
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from src.vector_store.qdrant import (
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QdrantVectorStore,
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_point_id, # pyright: ignore[reportPrivateUsage]
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)
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@pytest.fixture
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def store(monkeypatch: pytest.MonkeyPatch) -> QdrantVectorStore:
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monkeypatch.setattr("src.vector_store.qdrant.AsyncQdrantClient", MagicMock())
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return QdrantVectorStore()
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def _mock_client(store: QdrantVectorStore) -> MagicMock:
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client = MagicMock()
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client.collection_exists = AsyncMock(return_value=True)
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client.query_points = AsyncMock(return_value=SimpleNamespace(points=[]))
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client.get_collection = AsyncMock()
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store._client = client # pyright: ignore[reportPrivateUsage]
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return client
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def _hit(*, id: str, score: float, payload: dict[str, Any]) -> SimpleNamespace:
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return SimpleNamespace(id=id, score=score, payload=payload)
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def test_point_id_is_deterministic_and_a_valid_uuid() -> None:
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assert _point_id("user_123") == _point_id("user_123")
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assert _point_id("user_123") != _point_id("user_456")
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uuid.UUID(_point_id("user_123"))
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def test_build_filter_membership(store: QdrantVectorStore) -> None:
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f = store._build_filter({"session_name": {"in": ["s1", "s2"]}}) # pyright: ignore[reportPrivateUsage]
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assert f is not None and f.must is not None
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@pytest.mark.asyncio
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async def test_query_returns_empty_when_collection_missing(
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store: QdrantVectorStore,
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) -> None:
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client = _mock_client(store)
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client.collection_exists = AsyncMock(return_value=False)
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results = await store.query("honcho.msg.missing", [0.1, 0.2, 0.3, 0.4])
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assert results == []
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client.query_points.assert_not_awaited()
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@pytest.mark.asyncio
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async def test_query_include_attributes_false_still_recovers_id(
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store: QdrantVectorStore,
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) -> None:
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client = _mock_client(store)
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await store.query("honcho.msg.test", [0.1, 0.2, 0.3, 0.4], include_attributes=False)
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assert client.query_points.await_args.kwargs["with_payload"] == ["_id"]
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@pytest.mark.asyncio
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async def test_query_attribute_list_projects_id_plus_listed(
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store: QdrantVectorStore,
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) -> None:
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client = _mock_client(store)
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await store.query(
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"honcho.msg.test",
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[0.1, 0.2, 0.3, 0.4],
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include_attributes=["message_id"],
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)
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assert client.query_points.await_args.kwargs["with_payload"] == [
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"_id",
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"message_id",
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]
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@pytest.mark.asyncio
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async def test_query_converts_hits_to_results_with_distance_and_metadata(
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store: QdrantVectorStore,
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) -> None:
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client = _mock_client(store)
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client.query_points = AsyncMock(
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return_value=SimpleNamespace(
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points=[
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_hit(
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id="<uuid-1>",
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score=0.88,
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payload={"_id": "vec_1", "message_id": "msg_1"},
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),
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_hit(id="<uuid-2>", score=0.66, payload={"_id": "vec_2"}),
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]
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)
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)
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results = await store.query("honcho.msg.test", [0.1, 0.2, 0.3, 0.4])
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assert [r.id for r in results] == ["vec_1", "vec_2"]
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assert results[0].score == 1.0 - 0.88
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assert results[1].score == 1.0 - 0.66
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assert results[0].metadata == {"message_id": "msg_1"}
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assert results[1].metadata == {}
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@pytest.mark.asyncio
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async def test_query_filters_by_max_distance(store: QdrantVectorStore) -> None:
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client = _mock_client(store)
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client.query_points = AsyncMock(
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return_value=SimpleNamespace(
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points=[
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_hit(id="<uuid-1>", score=0.95, payload={"_id": "vec_close"}),
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_hit(id="<uuid-2>", score=0.1, payload={"_id": "vec_far"}),
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]
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)
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)
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results = await store.query(
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"honcho.msg.test",
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[0.1, 0.2, 0.3, 0.4],
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max_distance=0.5,
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)
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assert [r.id for r in results] == ["vec_close"]
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@pytest.mark.asyncio
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async def test_probe_returns_none_for_missing_collection(
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store: QdrantVectorStore,
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) -> None:
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client = _mock_client(store)
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client.collection_exists = AsyncMock(return_value=False)
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assert await store.probe_namespace_dim("does_not_exist") is None
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@pytest.mark.asyncio
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async def test_probe_returns_declared_dim(store: QdrantVectorStore) -> None:
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client = _mock_client(store)
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client.get_collection = AsyncMock(
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return_value=SimpleNamespace(
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config=SimpleNamespace(
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params=SimpleNamespace(
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vectors=models.VectorParams(
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size=768, distance=models.Distance.COSINE
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)
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)
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)
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)
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)
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assert await store.probe_namespace_dim("probe_test") == 768
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@pytest.mark.asyncio
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async def test_probe_raises_when_vector_config_missing(
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store: QdrantVectorStore,
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) -> None:
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client = _mock_client(store)
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client.get_collection = AsyncMock(
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return_value=SimpleNamespace(
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config=SimpleNamespace(params=SimpleNamespace(vectors=None))
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)
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)
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with pytest.raises(VectorStoreError):
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await store.probe_namespace_dim("corrupt")
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38
uv.lock
38
uv.lock
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@ -1,6 +1,10 @@
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version = 1
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revision = 3
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requires-python = ">=3.13"
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resolution-markers = [
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"python_full_version >= '3.14'",
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"python_full_version < '3.14'",
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]
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[options]
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exclude-newer = "0001-01-01T00:00:00Z" # This has no effect and is included for backwards compatibility when using relative exclude-newer values.
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@ -822,26 +826,6 @@ dependencies = [
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]
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wheels = [
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{ url = "https://files.pythonhosted.org/packages/14/e4/9990b41c6d7a44e1e9dee8ac11d7a9802ba1378b40d77468a7761d1ad288/grpcio-1.80.0-cp312-cp312-win32.whl", hash = "sha256:c71309cfce2f22be26aa4a847357c502db6c621f1a49825ae98aa0907595b193", size = 4140904, upload-time = "2026-03-30T08:47:35.319Z" },
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{ url = "https://files.pythonhosted.org/packages/2f/2c/296f6138caca1f4b92a31ace4ae1b87dab692fc16a7a3417af3bb3c805bf/grpcio-1.80.0-cp312-cp312-win_amd64.whl", hash = "sha256:9fe648599c0e37594c4809d81a9e77bd138cc82eb8baa71b6a86af65426723ff", size = 4880944, upload-time = "2026-03-30T08:47:37.831Z" },
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{ url = "https://files.pythonhosted.org/packages/2f/3a/7c3c25789e3f069e581dc342e03613c5b1cb012c4e8c7d9d5cf960a75856/grpcio-1.80.0-cp313-cp313-linux_armv7l.whl", hash = "sha256:e9e408fc016dffd20661f0126c53d8a31c2821b5c13c5d67a0f5ed5de93319ad", size = 6017243, upload-time = "2026-03-30T08:47:40.075Z" },
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{ url = "https://files.pythonhosted.org/packages/04/19/21a9806eb8240e174fd1ab0cd5b9aa948bb0e05c2f2f55f9d5d7405e6d08/grpcio-1.80.0-cp313-cp313-macosx_11_0_universal2.whl", hash = "sha256:92d787312e613754d4d8b9ca6d3297e69994a7912a32fa38c4c4e01c272974b0", size = 12010840, upload-time = "2026-03-30T08:47:43.11Z" },
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{ url = "https://files.pythonhosted.org/packages/18/3a/23347d35f76f639e807fb7a36fad3068aed100996849a33809591f26eca6/grpcio-1.80.0-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:8ac393b58aa16991a2f1144ec578084d544038c12242da3a215966b512904d0f", size = 6567644, upload-time = "2026-03-30T08:47:46.806Z" },
|
||||
|
|
@ -911,7 +895,6 @@ dependencies = [
|
|||
{ name = "pydantic-settings" },
|
||||
{ name = "pyjwt" },
|
||||
{ name = "python-dotenv" },
|
||||
{ name = "qdrant-client" },
|
||||
{ name = "redis" },
|
||||
{ name = "rich" },
|
||||
{ name = "scikit-learn" },
|
||||
|
|
@ -928,6 +911,9 @@ lancedb = [
|
|||
{ name = "lancedb", marker = "platform_machine != 'x86_64' or sys_platform != 'darwin'" },
|
||||
{ name = "pyarrow" },
|
||||
]
|
||||
qdrant = [
|
||||
{ name = "qdrant-client" },
|
||||
]
|
||||
|
||||
[package.dev-dependencies]
|
||||
dev = [
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||||
|
|
@ -971,7 +957,7 @@ requires-dist = [
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|||
{ name = "pydantic-settings", specifier = ">=2.10.1" },
|
||||
{ name = "pyjwt", specifier = ">=2.10.0" },
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||||
{ name = "python-dotenv", specifier = ">=1.0.0" },
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||||
{ name = "qdrant-client", specifier = ">=1.18.0" },
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||||
{ name = "qdrant-client", marker = "extra == 'qdrant'", specifier = ">=1.18.0" },
|
||||
{ name = "redis", specifier = ">=7.0.0,<8.0.0" },
|
||||
{ name = "rich", specifier = ">=13.7.1" },
|
||||
{ name = "scikit-learn", specifier = ">=1.6.0" },
|
||||
|
|
@ -982,7 +968,7 @@ requires-dist = [
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|||
{ name = "turbopuffer", specifier = ">=1.8.1" },
|
||||
{ name = "typing-extensions", specifier = ">=4.11.0" },
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||||
]
|
||||
provides-extras = ["lancedb"]
|
||||
provides-extras = ["lancedb", "qdrant"]
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||||
|
||||
[package.metadata.requires-dev]
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||||
dev = [
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|
|
@ -2484,12 +2470,6 @@ name = "pywin32"
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version = "311"
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source = { registry = "https://pypi.org/simple" }
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wheels = [
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{ url = "https://files.pythonhosted.org/packages/e3/28/e0a1909523c6890208295a29e05c2adb2126364e289826c0a8bc7297bd5c/pywin32-311-cp313-cp313-win_amd64.whl", hash = "sha256:718a38f7e5b058e76aee1c56ddd06908116d35147e133427e59a3983f703a20d", size = 9494700, upload-time = "2025-07-14T20:13:28.243Z" },
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{ url = "https://files.pythonhosted.org/packages/04/bf/90339ac0f55726dce7d794e6d79a18a91265bdf3aa70b6b9ca52f35e022a/pywin32-311-cp313-cp313-win_arm64.whl", hash = "sha256:7b4075d959648406202d92a2310cb990fea19b535c7f4a78d3f5e10b926eeb8a", size = 8709318, upload-time = "2025-07-14T20:13:30.348Z" },
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|
|
|
|||
Loading…
Reference in New Issue