Feature Request: run EXPERIMENTAL expectation (from great_expectations_experimental library) from Airflow? about airflow-provider-great-expectations

[kujaska]

Same needed to run a custom expectation from PLUGINS folder.

It could be done with additional IMPORT with pure GE but there is no way to do it with airflow-provider-great-expectations

Meanwhile it looks like this works:

in your DAG:

def ge_run_func():
    import great_expectations as gx
    data_context = gx.get_context(context_root_dir="your_root_dir")
    #import your custom expectation plugin from plugins folder here
    from expectations.expect_column_values_to_be_alphabetical import ExpectColumnValuesToBeAlphabetical
    result: CheckpointResult = data_context.run_checkpoint(
        checkpoint_name="your_checkpoint_name"
        )
    return (result["success"])

• and run ge_run_func in DAG with PythonOperator