I'm trying to use execution inputs as container arguements for my processing job:

execution_input = ExecutionInput(
 schema={
 "IngestaJobName": str,
 "PreprocessingJobName": str,
 "InferenceJobName": str,
 "Fecha": str,
 }
)

#Call step
ingesta_step = ProcessingStep(
 inference_config["ingesta_step_name"],
 processor=ingesta_processor,
 job_name=execution_input['IngestaJobName'],
 inputs=inputs_ingesta,
 outputs=outputs_ingesta,
 container_arguments=["--fecha", "$$.Execution.Input['Fecha']"],
 container_entrypoint=["python3", "/opt/ml/processing/input/code/"+inference_config["ingesta_function"]], 
)

I've also tried to replace container_arguments for ["--fecha", execution_input["Fecha"]]

But in both cases it doesn't work.

Use Case

When I lunch a new execution of my state machine, it would be useful to get some execution inputs as a container argument in order to define some parameters of intereset that will be define the behaviour of the step directly by the execution input without updating the state machine definition

This is a 🚀 Feature Request