Generates ops for interacting with GE.
name (str) – the name of the op
datasource_name (str) – the name of your DataSource, see your great_expectations.yml
suite_name (str) – the name of your expectation suite, see your great_expectations.yml
validation_operator_name (Optional[str]) – what validation operator to run – defaults to None, which generates an ephemeral validator. If you want to save data docs, use ‘action_list_operator’. See https://docs.greatexpectations.io/en/latest/reference/core_concepts/validation_operators_and_actions.html
input_dagster_type (DagsterType) – the Dagster type used to type check the input to the op. Defaults to dagster_pandas.DataFrame.
batch_kwargs (Optional[dict]) – overrides the batch_kwargs parameter when calling the ge_data_context’s get_batch method. Defaults to {“dataset”: dataset}, where dataset is the input to the generated op.
An op that takes in a set of data and yields both an expectation with relevant metadata and an output with all the metadata (for user processing)