CreateDataQualityCheckRequest

pydantic model openapi_client.models.create_data_quality_check_request.CreateDataQualityCheckRequest

Create payload. Provide DatasetId and either enable auto suggestions or supply DqConstraints (or both). Name/domain are server-derived.

Fields:

• are_auto_constraint_suggestions_enabled (bool | None)

• dataset_id (str | None)

• dq_constraints (List[openapi_client.models.dq_constraint.DqConstraint] | None)

field dataset_id: Optional[StrictStr] = None (alias 'DatasetId')

Existing non-view dataset ID that does not already have a DQ check.

field are_auto_constraint_suggestions_enabled: Optional[StrictBool] = None (alias 'AreAutoConstraintSuggestionsEnabled')

When true, enables Glue auto constraint suggestions for the check.

field dq_constraints: Optional[List[DqConstraint]] = None (alias 'DqConstraints')

Initial constraint rules. Column names must be lowercase.

to_str()

Returns the string representation of the model using alias

Return type:

str

to_json()

Returns the JSON representation of the model using alias

Return type:

str

classmethod from_json(json_str)

Create an instance of CreateDataQualityCheckRequest from a JSON string

Return type:

Optional[Self]

to_dict()

Return the dictionary representation of the model using alias.

This has the following differences from calling pydantic’s self.model_dump(by_alias=True):

• None is only added to the output dict for nullable fields that were set at model initialization. Other fields with value None are ignored.

Return type:

Dict[str, Any]

classmethod from_dict(obj)

Create an instance of CreateDataQualityCheckRequest from a dict

Return type:

Optional[Self]