tuple of tuples labview xy multiplot data to py class

labview xy plot.py

from dataclasses import dataclass, is_dataclass

def nested_dataclass(*args, **kwargs):
    def wrapper(cls):
        cls = dataclass(cls, **kwargs)
        original_init = cls.__init__
        def __init__(self, *args, **kwargs):
            for name, value in kwargs.items():
                field_type = cls.__annotations__.get(name, None)
                if is_dataclass(field_type) and isinstance(value, dict):
                     new_obj = field_type(**value)
                     kwargs[name] = new_obj
            original_init(self, *args, **kwargs)
        cls.__init__ = __init__
        return cls
    return wrapper(args[0]) if args else wrapper


from dataclasses import dataclass, is_dataclass
  

@dataclass
class  xy_plot:
    x:np.ndarray
    y:np.ndarray

@nested_dataclass
class XYplots:
    data:[xy_plot]
    legend:[] #list 
    
def xy_obj_from_tuple_of_tuples(s):
  """ s is labview tuple of tuples represenation of xy plot 
      labview = win32com.client.Dispatch("Labview.Application")
      VI = labview.getvireference(vi_path)
      s=(VI.getcontrolvalue(control_name)) #returns array of clusters as tuple of tuples, no legend or other properties
      control_name str is the name of the xy plot control or indicator
      xy_obj[trace_index].x is x data, xy_obj[trace_index].y is ydata
  """
    xy_obj=XYplots(data=[xy_plot(x=s[i][0],y=s[i][1]) for i in range(len(s))],legend=['trace'+str(i) for i in range(len(s))])
    #modify xy_plots1.legend from another data 
    return(xy_obj)