EventRuleListItem

pydantic model openapi_client.models.event_rule_list_item.EventRuleListItem

EventRuleListItem

Fields:

• created_by (str | None)

• description (str | None)

• event_bus_name (str | None)

• managed_by (str | None)

• max_capacity (float | int | None)

• modalities (List[str] | None)

• modality_configs (Dict[str, Any] | None)

• name (str | None)

• number_of_workers (int | None)

• schedule_expression (str | None)

• state (str | None)

• timeout (int | None)

field name: Optional[StrictStr] = None (alias 'Name')

EventBridge rule name (environment-prefixed).

field state: Optional[StrictStr] = None (alias 'State')

ENABLED or DISABLED from EventBridge.

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

Rule description when EventBridge returns one.

field schedule_expression: Optional[StrictStr] = None (alias 'ScheduleExpression')

cron or rate expression for the schedule.

field event_bus_name: Optional[StrictStr] = None (alias 'EventBusName')

Event bus the rule is on (typically default).

field managed_by: Optional[StrictStr] = None (alias 'ManagedBy')

Present when AWS manages the rule.

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

Present on the list response when EventBridge returns it.

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

Glue worker count. Added when Name contains DataProfiling

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

Glue job timeout in minutes. Added when the rule name contains DataProfiling or BDAExtractor.

field max_capacity: Optional[Union[StrictFloat, StrictInt]] = None (alias 'MaxCapacity')

Glue max capacity. Added when Name contains BDAExtractor

field modalities: Optional[List[StrictStr]] = None (alias 'Modalities')

Keys from the BDA job –bdaConfigs argument. Added only when the rule name contains BDAExtractor.

field modality_configs: Optional[Dict[str, Any]] = None (alias 'ModalityConfigs')

Parsed –bdaConfigs map. Added only when the rule name contains BDAExtractor.

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 EventRuleListItem 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 EventRuleListItem from a dict

Return type:

Optional[Self]