sdk.lusid.models.data_quality_check_result.DataQualityCheckResult

class DataQualityCheckResult(**data)[source]

Represents the result of a data quality check operation # noqa: E501

Create a new model by parsing and validating input data from keyword arguments.

Raises ValidationError if the input data cannot be parsed to form a valid model.

Attributes

This is a Pydantic class. For now, click on the green [source] link in the class signature above to see descriptions/allowed values for these attributes.

`check_definition_scope`
`check_definition_code`
`check_definition_display_name`
`check_run_as_at`
`result_type`
`rule_set_key`
`rule_set_display_name`
`rule_key`
`rule_display_name`
`rule_description`
`rule_formula`
`severity`
`lusid_entity`
`count_rule_breaches`
`error_detail`
`result_id`

class Config[source]: Pydantic configuration

classmethod from_dict(obj)[source]

Create an instance of DataQualityCheckResult from a dict

Return type:: DataQualityCheckResult

classmethod from_json(json_str)[source]

Create an instance of DataQualityCheckResult from a JSON string

Return type:: DataQualityCheckResult

to_dict()[source]: Returns the dictionary representation of the model using alias

to_json()[source]

Returns the JSON representation of the model using alias

Return type:: str

to_str()[source]

Returns the string representation of the model using alias

Return type:: str