StoreEvaluationParametersAction
class great_expectations.checkpoint.StoreEvaluationParametersAction(data_context: AbstractDataContext, target_store_name: Optional[str] = None)#
Store evaluation parameters from a validation result.
Evaluation parameters allow expectations to refer to statistics/metrics computed in the process of validating other prior expectations.
Typical usage example:
- name: store_evaluation_params
action:
class_name: StoreEvaluationParametersAction
target_store_name: evaluation_parameter_store- Parameters
data_context – GX Data Context.
target_store_name – The name of the store in the Data Context to store the evaluation parameters.
- Raises
TypeError – validation_result_id must be of type ValidationResultIdentifier or GeCloudIdentifier, not .
run(validation_result_suite: ExpectationSuiteValidationResult, validation_result_suite_identifier: Union[ValidationResultIdentifier, GXCloudIdentifier], data_asset, expectation_suite_identifier: Optional[ExpectationSuiteIdentifier] = None, checkpoint_identifier=None, **kwargs)#
Public entrypoint GX uses to trigger a ValidationAction.
When a ValidationAction is configured in a Checkpoint, this method gets called after the Checkpoint produces an ExpectationSuiteValidationResult.
- Parameters
validation_result_suite – An instance of the ExpectationSuiteValidationResult class.
validation_result_suite_identifier – an instance of either the ValidationResultIdentifier class (for open source Great Expectations) or the GXCloudIdentifier (from Great Expectations Cloud).
data_asset – An instance of the Validator class.
expectation_suite_identifier – Optionally, an instance of the ExpectationSuiteIdentifier class.
checkpoint_identifier – Optionally, an Identifier for the Checkpoint.
kwargs – named parameters that are specific to a given Action, and need to be assigned a value in the Action's configuration in a Checkpoint's action_list.
- Returns
A Dict describing the result of the Action.