make sql database pipeline tests succeed on both sqlalchemy versions

dlt/sources/sql_database/schema_types.py

@@ -43,7 +43,7 @@ def default_table_adapter(table: Table, included_columns: Optional[List[str]]) -
                 table._columns.remove(col)  # type: ignore[attr-defined]
     for col in table._columns:  # type: ignore[attr-defined]
         sql_t = col.type
-        if isinstance(sql_t, sqltypes.Uuid):  # type: ignore[attr-defined]
+        if hasattr(sqltypes, "Uuid") and isinstance(sql_t, sqltypes.Uuid):
             # emit uuids as string by default
             sql_t.as_uuid = False
 
@@ -79,7 +79,7 @@ def sqla_col_to_column_schema(
 
     add_precision = reflection_level == "full_with_precision"
 
-    if isinstance(sql_t, sqltypes.Uuid):  # type: ignore[attr-defined]
+    if hasattr(sqltypes, "Uuid") and isinstance(sql_t, sqltypes.Uuid):
         # we represent UUID as text by default, see default_table_adapter
         col["data_type"] = "text"
     if isinstance(sql_t, sqltypes.Numeric):

dlt/sources/sql_database_pipeline.py

@@ -185,9 +185,9 @@ def my_sql_via_pyarrow() -> None:
     )
 
     def _double_as_decimal_adapter(table: sa.Table) -> None:
-        """Return double as double, not decimals"""
+        """Return double as double, not decimals, only works if you are using sqlalchemy 2.0"""
         for column in table.columns.values():
-            if isinstance(column.type, sa.Double):  # type: ignore
+            if hasattr(sa, "Double") and isinstance(column.type, sa.Double):
                 column.type.asdecimal = False
 
     sql_alchemy_source = sql_database(