Add testing

src/vector_search_mcp/engine.py

@@ -0,0 +1,40 @@
+from collections.abc import Sequence
+from typing import Any, final
+
+from qdrant_client import AsyncQdrantClient, models
+
+from .config import Settings
+from .models import SearchRow
+
+
+@final
+class QdrantEngine:
+    def __init__(self) -> None:
+        self.settings = Settings()  # type: ignore[reportCallIssue]
+        self.client = AsyncQdrantClient(
+            url=self.settings.url, api_key=self.settings.api_key
+        )
+
+    async def semantic_search(
+        self,
+        embedding: Sequence[float] | models.NamedVector,
+        collection: str,
+        limit: int = 10,
+        conditions: Any | None = None,
+        threshold: float | None = None,
+    ) -> list[SearchRow]:
+        points = await self.client.search(
+            collection_name=collection,
+            query_vector=embedding,
+            query_filter=conditions,
+            limit=limit,
+            with_payload=True,
+            with_vectors=False,
+            score_threshold=threshold,
+        )
+
+        return [
+            SearchRow(chunk_id=str(point.id), score=point.score, payload=point.payload)
+            for point in points
+            if point.payload is not None
+        ]