RunModelOnDatasetFileResponse

pydantic model openapi_client.models.run_model_on_dataset_file_response.RunModelOnDatasetFileResponse

Success body for POST /datasets/{id}/files/models/{modelid}/run. Message is “success”; ModelRunId and FileName identify the new run.

Fields:
field message: Optional[StrictStr] = None (alias 'Message')

Status string from the invoke path; typically “success”.

field model_run_id: Optional[StrictStr] = None (alias 'ModelRunId')

UUID assigned to this model run invocation.

field file_name: Optional[StrictStr] = None (alias 'FileName')

File name/key the model was invoked on.

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 RunModelOnDatasetFileResponse 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 RunModelOnDatasetFileResponse from a dict

Return type:

Optional[Self]