RuleBasedProfilerResult

class great_expectations.rule_based_profiler.RuleBasedProfilerResult(fully_qualified_parameter_names_by_domain: Dict[great_expectations.core.domain.Domain, List[str]], parameter_values_for_fully_qualified_parameter_names_by_domain: Optional[Dict[great_expectations.core.domain.Domain, Dict[str, great_expectations.rule_based_profiler.parameter_container.ParameterNode]]], expectation_configurations: List[great_expectations.core.expectation_configuration.ExpectationConfiguration], citation: dict, rule_domain_builder_execution_time: Dict[str, float], rule_execution_time: Dict[str, float], _usage_statistics_handler: Optional[great_expectations.core.usage_statistics.usage_statistics.UsageStatisticsHandler] = None)#

RuleBasedProfilerResult is an immutable dataclass object which holds the results of executing the RuleBasedProfiler.run() method.

Properties represents the configuration of the Rule-Based Profiler (effective configuration if run via a DataAssistant or auto-initializing expectation), with all run-time overrides properly reconciled.

Parameters

• fully_qualified_parameter_names_by_domain – dict of Domain keys and a list of their parameter names.

• parameter_values_for_fully_qualified_parameter_names_by_domain – dict of Domain and nested ParameterNode mappings.

• expectation_configurations – List of ExpectationConfiguration objects.

• citation – dict of citations.

get_expectation_suite(expectation_suite_name: str) → great_expectations.core.expectation_suite.ExpectationSuite#

Retrieve the ExpectationSuite generated during the RuleBasedProfiler run.

Parameters

expectation_suite_name – The name of the desired ExpectationSuite.

Returns

ExpectationSuite

to_json_dict() → dict[str, JSONValues]#

Returns the RuleBasedProfilerResult as a JSON-serializable dictionary.

Returns

Dictionary containing only JSON compatible python primitives.