self = SparkExpectations(product_id='test_product', rules_df=DataFrame[product_id: string, table_name: string, rule_type: str...appedDataFrameWriter object at 0x7f6af3f65840>, debugger=False, stats_streaming_options={'se.enable.streaming': False})

    def __post_init__(self) -> None:
        # Databricks runtime 14 and above could pass either instance of a Dataframe depending on how data was read
        if (
            is_spark_connect_supported is True
>           and isinstance(self.rules_df, (DataFrame, connectDataFrame))
        ) or (
            is_spark_connect_supported is False and isinstance(self.rules_df, DataFrame)
        ):
E       NameError: name 'connectDataFrame' is not defined