EventRuleActionBody

pydantic model openapi_client.models.event_rule_action_body.EventRuleActionBody

EventRuleActionBody

Fields:

• dataset_ids (List[str] | None)

• file_ids (List[str] | None)

• file_processing_mode (str | None)

• from_time (str | None)

• number_of_workers (int | None)

• target_dataset_id (str | None)

• target_dataset_provided (bool | None)

• timeout (int | None)

• to_time (str | None)

field file_processing_mode: Optional[StrictStr] = None (alias 'FileProcessingMode')

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

field file_ids: Optional[List[StrictStr]] = None (alias 'FileIds')

field from_time: Optional[StrictStr] = None (alias 'FromTime')

field to_time: Optional[StrictStr] = None (alias 'ToTime')

field target_dataset_id: Optional[StrictStr] = None (alias 'TargetDatasetId')

field target_dataset_provided: Optional[StrictBool] = None (alias 'TargetDatasetProvided')

field number_of_workers: Optional[StrictInt] = None (alias 'NumberOfWorkers')

field timeout: Optional[StrictInt] = None (alias 'Timeout')

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 EventRuleActionBody 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 EventRuleActionBody from a dict

Return type:

Optional[Self]