accept engine_args for #2

llama_iris/vectorstore.py

@@ -9,6 +9,7 @@
     VectorStoreQueryResult,
 )
 from llama_index.vector_stores.utils import metadata_dict_to_node, node_to_metadata_dict
+from sqlalchemy.orm.session import close_all_sessions
 
 
 _logger = logging.getLogger(__name__)
@@ -60,6 +61,7 @@ class IRISVectorStore(BasePydanticVectorStore):
     embed_dim: int
     perform_setup: bool
     debug: bool
+    engine_args: Optional[dict]
 
     _base: Any = PrivateAttr()
     _table_class: Any = PrivateAttr()
@@ -76,6 +78,7 @@ def __init__(
         embed_dim: int = 1536,
         perform_setup: bool = True,
         debug: bool = False,
+        engine_args: Optional[dict] = None,
     ) -> None:
         table_name = table_name.lower()
         schema_name = schema_name.lower()
@@ -87,13 +90,14 @@ def __init__(
             embed_dim=embed_dim,
             perform_setup=perform_setup,
             debug=debug,
+            engine_args=engine_args or {},
         )
 
     async def close(self) -> None:
         if not self._is_initialized:
             return
 
-        self._session.close_all()
+        close_all_sessions()
         self._engine.dispose()
 
     @classmethod
@@ -114,6 +118,7 @@ def from_params(
         embed_dim: int = 1536,
         perform_setup: bool = True,
         debug: bool = False,
+        engine_args: Optional[dict] = None,
     ) -> "IRISVectorStore":
         """Return connection string from database parameters."""
         conn_str = (
@@ -127,6 +132,7 @@ def from_params(
             embed_dim=embed_dim,
             perform_setup=perform_setup,
             debug=debug,
+            engine_args=engine_args,
         )
 
     @property
@@ -139,7 +145,7 @@ def _connect(self) -> Any:
         from sqlalchemy import create_engine
         from sqlalchemy.orm import sessionmaker
 
-        self._engine = create_engine(self.connection_string, echo=self.debug)
+        self._engine = create_engine(self.connection_string, echo=self.debug, **self.engine_args)
         self._session = sessionmaker(self._engine)
         with self._engine.connect() as conn:
             self._native_vector = conn.dialect.supports_vectors