DataPipelineExecutionInput

pydantic model openapi_client.models.data_pipeline_execution_input.DataPipelineExecutionInput

Input body for triggering data pipeline execution. For AI Flow pipelines, InputString is required.

Fields:

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

• input_string (str | None)

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

User input text for AI Flow pipelines. This input is passed to the Input node of the flow.

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

Data pipeline execution properties. Keys must be strings between 1 and 255 characters.

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 DataPipelineExecutionInput 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 DataPipelineExecutionInput from a dict

Return type:

Optional[Self]