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Version: 0.17.23

ExpectationConfiguration

class great_expectations.core.ExpectationConfiguration(expectation_type: str, kwargs: dict, meta: Optional[dict] = None, success_on_last_run: Optional[bool] = None, ge_cloud_id: Optional[str] = None, expectation_context: Optional[great_expectations.core.expectation_configuration.ExpectationContext] = None, rendered_content: Optional[List[great_expectations.render.components.RenderedAtomicContent]] = None)#

Denies the parameters and name of a specific expectation.

Parameters:

  • expectation_type – The name of the expectation class to use in snake case, e.g. expect_column_values_to_not_be_null.

  • kwargs – The keyword arguments to pass to the expectation class.

  • meta – A dictionary of metadata to attach to the expectation.

  • success_on_last_run – Whether the expectation succeeded on the last run.

  • ge_cloud_id –

    The corresponding GX Cloud ID for the expectation.

    New in version 0.13.36: Used in GX Cloud deployments.

  • expectation_context –

    The context for the expectation.

    New in version 0.13.44: Used to support column descriptions in GX Cloud.

  • rendered_content –

    Rendered content for the expectation.

    New in version 0.15.14: Used to include rendered content dictionary in expectation configuration.

Raises:

  • InvalidExpectationConfigurationError – If expectation_type arg is not a str.

  • InvalidExpectationConfigurationError – If kwargs arg is not a dict.

  • InvalidExpectationKwargsError – If domain kwargs are missing.

  • ValueError – If a domain_type cannot be determined.

get_success_kwargs() → dict#

Gets the success and domain kwargs for this ExpectationConfiguration.

Raises:

ExpectationNotFoundError – If the expectation implementation is not found.

Returns:

A dictionary with the success and domain kwargs of an expectation.

to_json_dict() → Dict[str, Optional[Union[Dict[str, JSONValues], List[JSONValues], str, int, float, bool]]]#

Returns a JSON-serializable dict representation of this ExpectationConfiguration.

Returns:

A JSON-serializable dict representation of this ExpectationConfiguration.

validate(validator: Validator, runtime_configuration: Optional[dict] = None) → ExpectationValidationResult#

Runs the expectation against a Validator.

Parameters:

  • validator – Object responsible for running an Expectation against data.

  • runtime_configuration – A dictionary of configuration arguments to be used by the expectation.

Raises:

ExpectationNotFoundError – If the expectation implementation is not found.

Returns:

The validation result generated by running the expectation against the data.

Return type:

ExpectationValidationResult