我是Python新手，试图以CSV格式存储数据列表。
我有一个csv的 Package 器类，每一行都有一个DataRow。但是，我知道这段代码不是很容易维护。
目前，如果我想添加一个新值，我需要在set_item中添加一个条件，在fields中添加一个新字段，并在类中添加一个新属性。
有没有更好的解决方案来维护类中的属性列表？
理想情况下，我的DataRow类将只有一个fields列表，其中包含一些泛型方法。

class DataRow:
  
  # These are used as the column headings in the csv. 
  # They are just the accessible keys.
  fields: List[str] = ['id', 'name', 'created', 'time']

  # I still want to reference specific values so I add them to class
  # I have so many properties I don't really want to list them all here.
  id:str
  name:str
  created: str
  time: str
  
  def __init__(self) -> None:

  def get_labels(self) -> List[str]:
    return self.fields
  
  # reference is a string from external source so need to map it to a property
  def set_item(self, reference:str, value:str):
    # in this case reference doesn't match up with the property name
    if reference == 'my id':
      self.id = value
    if reference == 'item name':
      self.name = value
    if reference == 'date':
      self.created = value
    if reference == 'time':
      self.time = value
   
   def get_item(self, key:str):
      # I want to get the property based on field self[name]
    

class DataFile:
    name: str
    rows: List[DataRow] = []

    def __init__(self, name: str) -> None:
        self.name = name
    
    def open(self):
       # will open the csv file and set the rows

    def save(self):
       # will save the latest rows to csv file
    
    def add_row(id: str, row:DataRow ):
       self.rows.append(row)