EventRuleBdaExecutionRecord

pydantic model openapi_client.models.event_rule_bda_execution_record.EventRuleBdaExecutionRecord

EventRuleBdaExecutionRecord

Fields:

• completed_on (str | None)

• dataset_ids (List[str] | None)

• error_message (str | None)

• job_run_id (str | None)

• processing_mode (str | None)

• started_on (str | None)

• state (str | None)

• triggered_by (str | None)

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

field dataset_ids: Optional[List[StrictStr]] = None (alias 'datasetIds')

field state: Optional[StrictStr] = None

field started_on: Optional[StrictStr] = None (alias 'startedOn')

YYYY-MM-DD HH:MM:SS.

field completed_on: Optional[StrictStr] = None (alias 'completedOn')

YYYY-MM-DD HH:MM:SS, or N/A if still running.

field processing_mode: Optional[StrictStr] = None (alias 'processingMode')

From –fileProcessingMode; defaults to all.

field triggered_by: Optional[StrictStr] = None (alias 'triggeredBy')

From –user_id; N/A when unset.

field error_message: Optional[StrictStr] = None (alias 'errorMessage')

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 EventRuleBdaExecutionRecord 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 EventRuleBdaExecutionRecord from a dict

Return type:

Optional[Self]