DataQualityCheck

pydantic model openapi_client.models.data_quality_check.DataQualityCheck

Persisted data quality check item returned by GET.

Fields:

• access_type (str | None)

• are_auto_constraint_suggestions_enabled (bool | None)

• auto_constraint_suggestions (openapi_client.models.data_quality_check_auto_constraint_suggestions.DataQualityCheckAutoConstraintSuggestions | None)

• created_by (str | None)

• creation_date (str | None)

• data_quality_check_id (str | None)

• data_quality_check_name (str | None)

• dataset_id (str | None)

• description (str | None)

• domain (str | None)

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

• keywords (List[str] | None)

• last_modified_by (str | None)

• last_modified_time (str | None)

• recommendation_job_id (str | None)

• recommendation_job_run_status (str | None)

• version (str | None)

field data_quality_check_id: Optional[StrictStr] = None (alias 'DataQualityCheckId')

Unique identifier of the data quality check.

field data_quality_check_name: Optional[StrictStr] = None (alias 'DataQualityCheckName')

Auto-generated name in the form dqcheck-{uuid}. Not supplied by create callers.

field description: Optional[StrictStr] = None (alias 'Description')

Optional description field when present on the item.

field domain: Optional[StrictStr] = None (alias 'Domain')

Domain inherited from the associated dataset.

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

Dataset the check evaluates.

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

Configured Deequ-style constraints for the check.

field creation_date: Optional[StrictStr] = None (alias 'CreationDate')

Creation timestamp.

field created_by: Optional[StrictStr] = None (alias 'CreatedBy')

User who created the check.

field last_modified_time: Optional[StrictStr] = None (alias 'LastModifiedTime')

Last modification timestamp.

field last_modified_by: Optional[StrictStr] = None (alias 'LastModifiedBy')

User who last modified the check.

field keywords: Optional[List[StrictStr]] = None (alias 'Keywords')

Keywords when present on the stored item.

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

Whether Glue auto constraint suggestions are enabled.

field auto_constraint_suggestions: Optional[DataQualityCheckAutoConstraintSuggestions] = None (alias 'AutoConstraintSuggestions')

field recommendation_job_id: Optional[StrictStr] = None (alias 'RecommendationJobId')

Glue recommendation job ID when a recommendation was started.

field recommendation_job_run_status: Optional[StrictStr] = None (alias 'RecommendationJobRunStatus')

Status of the recommendation job run when available.

field access_type: Optional[StrictStr] = None (alias 'AccessType')

Caller’s access level on the related dataset/check.

field version: Optional[StrictStr] = None (alias 'Version')

Check version written on create. Current create path always stores “V2”.

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 DataQualityCheck 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 DataQualityCheck from a dict

Return type:

Optional[Self]