fix: parameterize myscale query vector and add regression test

api/core/rag/datasource/vdb/myscale/myscale_vector.py

@@ -142,7 +142,12 @@ class MyScaleVector(BaseVector):
         )
 
     def search_by_vector(self, query_vector: list[float], **kwargs: Any) -> list[Document]:
-        return self._search(f"distance(vector, {str(query_vector)})", self._vec_order, **kwargs)
+        return self._search(
+            "distance(vector, %(query_vector)s)",
+            self._vec_order,
+            parameters={"query_vector": query_vector},
+            **kwargs,
+        )
 
     def search_by_full_text(self, query: str, **kwargs: Any) -> list[Document]:
         return self._search(

api/tests/unit_tests/core/rag/datasource/vdb/myscale/test_myscale_vector.py

@@ -0,0 +1,32 @@
+from unittest.mock import MagicMock, patch
+
+from core.rag.datasource.vdb.myscale.myscale_vector import MyScaleConfig, MyScaleVector
+
+
+@patch("core.rag.datasource.vdb.myscale.myscale_vector.get_client")
+def test_search_by_vector_uses_parameterized_query(mock_get_client):
+    mock_client = MagicMock()
+    mock_get_client.return_value = mock_client
+
+    vector = MyScaleVector(
+        collection_name="test_collection",
+        config=MyScaleConfig(
+            host="localhost",
+            port=8123,
+            user="default",
+            password="",
+            database="dify",
+            fts_params="",
+        ),
+    )
+    vector._search = MagicMock(return_value=[])
+
+    query_vector = [0.1, 0.2, 0.3]
+    vector.search_by_vector(query_vector, top_k=5)
+
+    vector._search.assert_called_once_with(
+        "distance(vector, %(query_vector)s)",
+        vector._vec_order,
+        parameters={"query_vector": query_vector},
+        top_k=5,
+    )