Python dataclass, one attribute referencing other

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@dataclass
class Stock:
    symbol: str
    price: float = get_price(symbol)

Can a dataclass attribute access to the other one? In the above example, one can create a Stock by providing a symbol and the price. If price is not provided, it defaults to a price which we get from some function get_price. Is there a way to reference symbol?

This example generates error NameError: name 'symbol' is not defined.

python-dataclasses python-class python
2 Answers

You can use __post_init__ here. Because it's going to be called after __init__, you have your attributes already populated so do whatever you want to do there:

from typing import Optional
from dataclasses import dataclass


def get_price(name):
    # logic to get price by looking at `name`.
    return 1000.0


@dataclass
class Stock:
    symbol: str
    price: Optional[float] = None

    def __post_init__(self):
        if self.price is None:
            self.price = get_price(self.symbol)


obj1 = Stock("boo", 2000.0)
obj2 = Stock("boo")
print(obj1.price)  # 2000.0
print(obj2.price)  # 1000.0

So if user didn't pass price while instantiating, price is None. So you can check it in __post_init__ and ask it from get_price.

user_139445240

If the price is always derivable from the symbol, I would go with a @property. Keeps the code lean and it looks like an attribute from the outside:

def get_price(symbol):
    return 123

@dataclass
class Stock:
    symbol: str

@property
def price(self):
    return get_price(symbol)

stock = Stock("NVDA")
print(stock.price) # 123

If you want to have a settable attribute that also has a default value that is derived from the other fields, you may just want to implement your own __init__ or __post_init__ as suggested.

If this is something you encounter a lot and need more sophisticated ways to handle it, I would recommend looking into pydantic and validators.

from typing import Optional

from pydantic import validator
from pydantic.dataclasses import dataclass

def get_price(symbol):
    return 123.0

@dataclass
class Stock:
    symbol: str
    price: Optional[float] = None

    @validator('price')
    def validate_price(cls, v, values, **kwargs):
        return v or get_price(values["symbol"])


print(Stock("NVDA"))
#> Stock(symbol='NVDA', price=123.0)
print(Stock("NVDA", 456))
#> Stock(symbol='NVDA', price=456.0)
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