def test_default_expectation_configuration_builder_alice_null_condition_parameter_builder_validation_dependency_included(
alice_columnar_table_single_batch_context, ):
data_context: DataContext = alice_columnar_table_single_batch_context
batch_request: dict = {
"datasource_name": "alice_columnar_table_single_batch_datasource",
"data_connector_name":
"alice_columnar_table_single_batch_data_connector",
"data_asset_name": "alice_columnar_table_single_batch_data_asset",
}
metric_domain_kwargs: dict = {"column": "user_id"}
parameter_container: ParameterContainer = ParameterContainer(
parameter_nodes=None)
domain: Domain = Domain(
domain_type=MetricDomainTypes.COLUMN,
domain_kwargs=metric_domain_kwargs,
rule_name="my_rule",
)
parameters: Dict[str, ParameterContainer] = {
domain.id: parameter_container,
}
fully_qualified_parameter_name_for_value: str = "$parameter.my_min_user_id.value[0]"
condition: Optional[str] = None
max_user_id: int = 999999999999
min_user_id_parameter_builder_config: ParameterBuilderConfig = (
ParameterBuilderConfig(
module_name=
"great_expectations.rule_based_profiler.parameter_builder",
class_name="MetricMultiBatchParameterBuilder",
name="my_min_user_id",
metric_name="column.min",
metric_domain_kwargs=metric_domain_kwargs,
))
validation_parameter_builder_configs: Optional[
List[ParameterBuilderConfig]] = [
min_user_id_parameter_builder_config,
]
default_expectation_configuration_builder = DefaultExpectationConfigurationBuilder(
expectation_type="expect_column_values_to_be_between",
condition=condition,
min_value=fully_qualified_parameter_name_for_value,
max_value=max_user_id,
validation_parameter_builder_configs=
validation_parameter_builder_configs,
data_context=data_context,
)
expectation_configuration: Optional[
ExpectationConfiguration] = default_expectation_configuration_builder.build_expectation_configuration(
domain=domain,
parameters=parameters,
batch_request=batch_request,
)
assert expectation_configuration.kwargs["min_value"] == 397433
def test_default_expectation_configuration_builder_alice_null_condition_parameter_builder_validation_dependency_separate(
alice_columnar_table_single_batch_context,
):
data_context: DataContext = alice_columnar_table_single_batch_context
batch_request: dict = {
"datasource_name": "alice_columnar_table_single_batch_datasource",
"data_connector_name": "alice_columnar_table_single_batch_data_connector",
"data_asset_name": "alice_columnar_table_single_batch_data_asset",
}
metric_domain_kwargs: dict = {"column": "user_id"}
min_user_id_parameter: MetricMultiBatchParameterBuilder = (
MetricMultiBatchParameterBuilder(
name="my_min_user_id",
metric_name="column.min",
metric_domain_kwargs=metric_domain_kwargs,
data_context=data_context,
)
)
parameter_container: ParameterContainer = ParameterContainer(parameter_nodes=None)
domain: Domain = Domain(
domain_type=MetricDomainTypes.COLUMN,
domain_kwargs=metric_domain_kwargs,
rule_name="my_rule",
)
parameters: Dict[str, ParameterContainer] = {
domain.id: parameter_container,
}
min_user_id_parameter.build_parameters(
domain=domain,
parameters=parameters,
batch_request=batch_request,
)
fully_qualified_parameter_name_for_value: str = "$parameter.my_min_user_id"
parameter_value: Any = get_parameter_value_by_fully_qualified_parameter_name(
fully_qualified_parameter_name=fully_qualified_parameter_name_for_value,
domain=domain,
parameters=parameters,
)
condition: Optional[str] = None
max_user_id: int = 999999999999
default_expectation_configuration_builder = DefaultExpectationConfigurationBuilder(
expectation_type="expect_column_values_to_be_between",
condition=condition,
min_value=parameter_value.value[0],
max_value=max_user_id,
)
expectation_configuration: Optional[
ExpectationConfiguration
] = default_expectation_configuration_builder.build_expectation_configuration(
domain=domain,
parameters=parameters,
)
assert expectation_configuration.kwargs["min_value"] == 397433