def normalize_payload_nlp()

in api_inference_community/validation.py [0:0]

• 17 lines of code
• 5 McCabe index (conditional complexity)

def normalize_payload_nlp(bpayload: bytes, task: str) -> Tuple[Any, Dict]:
    payload = bpayload.decode("utf-8")

    # We used to accept raw strings, we need to maintain backward compatibility
    try:
        payload = json.loads(payload)
        if isinstance(payload, (float, int)):
            payload = str(payload)
    except Exception:
        pass

    parameters: Dict[str, Any] = {}
    if isinstance(payload, dict) and "inputs" in payload:
        inputs = payload["inputs"]
        parameters = payload.get("parameters", {})
    else:
        inputs = payload
    check_params(parameters, task)
    check_inputs(inputs, task)
    return inputs, parameters