DataQualityCheckRun

pydantic model openapi_client.models.data_quality_check_run.DataQualityCheckRun

Persisted data quality check run item.

Fields:

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

• data_quality_check_id (str | None)

• data_quality_check_run_end_time (str | None)

• data_quality_check_run_id (str | None)

• data_quality_check_run_start_time (str | None)

• dq_constraint_results (openapi_client.models.data_quality_check_run_dq_constraint_results.DataQualityCheckRunDqConstraintResults | None)

• job_run_id (str | None)

• message (str | None)

• run_status (str | None)

• version (str | None)

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

Parent data quality check ID.

field data_quality_check_run_id: Optional[StrictStr] = None (alias 'DataQualityCheckRunId')

Unique run identifier.

field data_quality_check_run_start_time: Optional[StrictStr] = None (alias 'DataQualityCheckRunStartTime')

Run start timestamp.

field data_quality_check_run_end_time: Optional[StrictStr] = None (alias 'DataQualityCheckRunEndTime')

Run end timestamp when completed.

field message: Optional[StrictStr] = None (alias 'Message')

Status or error message for the run.

field job_run_id: Optional[StrictStr] = None (alias 'JobRunId')

Underlying Glue/job run identifier when available.

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

Run record version. Current writes use V2.

field run_status: Optional[StrictStr] = None (alias 'RunStatus')

Current run status mirrored from the job backend.

field dq_constraint_results: Optional[DataQualityCheckRunDqConstraintResults] = None (alias 'DqConstraintResults')

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

Auto-suggested constraints associated with the run when present.

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 DataQualityCheckRun 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 DataQualityCheckRun from a dict

Return type:

Optional[Self]