def test_results_msgpack_deserialization(self):
        use_new_deserialization = True
        data = [("a", 4, 4.0, "2019-08-18T16:39:16.660000")]
        cursor_descr = (
            ("a", "string"),
            ("b", "int"),
            ("c", "float"),
            ("d", "datetime"),
        )
        db_engine_spec = BaseEngineSpec()
        results = SupersetResultSet(data, cursor_descr, db_engine_spec)
        query = {
            "database_id": 1,
            "sql": "SELECT * FROM birth_names LIMIT 100",
            "status": utils.QueryStatus.PENDING,
        }
        (
            serialized_data,
            selected_columns,
            all_columns,
            expanded_columns,
        ) = sql_lab._serialize_and_expand_data(
            results, db_engine_spec, use_new_deserialization
        )
        payload = {
            "query_id": 1,
            "status": utils.QueryStatus.SUCCESS,
            "state": utils.QueryStatus.SUCCESS,
            "data": serialized_data,
            "columns": all_columns,
            "selected_columns": selected_columns,
            "expanded_columns": expanded_columns,
            "query": query,
        }

        serialized_payload = sql_lab._serialize_payload(
            payload, use_new_deserialization
        )
        self.assertIsInstance(serialized_payload, bytes)

        with mock.patch.object(
            db_engine_spec, "expand_data", wraps=db_engine_spec.expand_data
        ) as expand_data:
            query_mock = mock.Mock()
            query_mock.database.db_engine_spec.expand_data = expand_data

            deserialized_payload = views._deserialize_results_payload(
                serialized_payload, query_mock, use_new_deserialization
            )
            df = results.to_pandas_df()
            payload["data"] = dataframe.df_to_records(df)

            self.assertDictEqual(deserialized_payload, payload)
            expand_data.assert_called_once()
    def test_results_default_deserialization(self):
        use_new_deserialization = False
        data = [("a", 4, 4.0, "2019-08-18T16:39:16.660000")]
        cursor_descr = (
            ("a", "string"),
            ("b", "int"),
            ("c", "float"),
            ("d", "datetime"),
        )
        db_engine_spec = BaseEngineSpec()
        results = SupersetResultSet(data, cursor_descr, db_engine_spec)
        query = {
            "database_id": 1,
            "sql": "SELECT * FROM birth_names LIMIT 100",
            "status": utils.QueryStatus.PENDING,
        }
        (
            serialized_data,
            selected_columns,
            all_columns,
            expanded_columns,
        ) = sql_lab._serialize_and_expand_data(
            results, db_engine_spec, use_new_deserialization
        )
        payload = {
            "query_id": 1,
            "status": utils.QueryStatus.SUCCESS,
            "state": utils.QueryStatus.SUCCESS,
            "data": serialized_data,
            "columns": all_columns,
            "selected_columns": selected_columns,
            "expanded_columns": expanded_columns,
            "query": query,
        }

        serialized_payload = sql_lab._serialize_payload(
            payload, use_new_deserialization
        )
        self.assertIsInstance(serialized_payload, str)

        query_mock = mock.Mock()
        deserialized_payload = views._deserialize_results_payload(
            serialized_payload, query_mock, use_new_deserialization
        )

        self.assertDictEqual(deserialized_payload, payload)
        query_mock.assert_not_called()