TriggerDataPipelineExecutionRequestBody

pydantic model openapi_client.models.trigger_data_pipeline_execution_request_body.TriggerDataPipelineExecutionRequestBody

POST /data-pipelines/{id}/executions body. Glue may send ExecutionProperties. AI requires InputString here or on DefaultExecutionProperties.

Fields:

• additional_properties (Dict[str, Any])

• execution_properties (Dict[str, str] | None)

• input_string (Any | None)

field input_string: Optional[Any] = None (alias 'InputString')

AI Flow input passed to the Input node. JSON type is validated against the flow (string or other JSON types).

field execution_properties: Optional[Dict[str, StrictStr]] = None (alias 'ExecutionProperties')

Glue execution properties. Keys must be strings of length 1-255.

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 TriggerDataPipelineExecutionRequestBody 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 TriggerDataPipelineExecutionRequestBody from a dict

Return type:

Optional[Self]