AiFlowInputNode

pydantic model openapi_client.models.ai_flow_input_node.AiFlowInputNode

AI Flow Input. Must not have Inputs. Exactly one Output named document (bedrockFlows.validate_input_node).

Fields:

• additional_properties (Dict[str, Any])

• module_type (str)

• node_name (str)

• outputs (List[openapi_client.models.data_pipeline_ai_flow_io.DataPipelineAiFlowIo])

field module_type: StrictStr [Required] (alias 'ModuleType')

Constraints:

• strict = True

field node_name: StrictStr [Required] (alias 'NodeName')

Constraints:

• strict = True

field outputs: Annotated[List[DataPipelineAiFlowIo], Field(min_length=1, max_length=1)] [Required] (alias 'Outputs')

Constraints:

• min_length = 1

• max_length = 1

field additional_properties: Dict[str, Any] = {}

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 AiFlowInputNode 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.

• Fields in self.additional_properties are added to the output dict.

Return type:

Dict[str, Any]

classmethod from_dict(obj)

Create an instance of AiFlowInputNode from a dict

Return type:

Optional[Self]