[FIXED] How to enforce Pydantic error raising for wrong generic types

Issue

Below you can see my code

from pydantic import BaseModel
from typing import TypeVar, Generic

T = TypeVar('T')

class GenericItem(BaseModel, Generic[T]):
    item: T

# Examples of using GenericItem
string_item = GenericItem[str](item="example")
int_item = GenericItem[int](item=42)

# This will raise a validation error because 'item' is expected to be of type 'int'
try:
    invalid_item = GenericItem[int](item="invalid")
except Exception as e:
    print(f"Validation error: {e}")

I want to use a generic value T and I have a field item of that value.

When I create GenericItem[int](item="invalid") it should throw an error, because the input should be int, but it is an str. Yet, no error shows up.

How can I make that possible, such that in this case it would just accept input of the specified type T?

Solution

I think it was the intended feature in v1.10.x.

As I commented, after V2, that works fine. But in v1.10x, you need to use GenericModel

from pydantic.generics import GenericModel  # Import `GenericModel` instead of `BaseModel`
from typing import TypeVar, Generic

T = TypeVar('T')

class GenericItem(GenericModel, Generic[T]):  # use `GenericModel`
    item: T

# Examples of using GenericItem
string_item = GenericItem[str](item="example")
int_item = GenericItem[int](item=42)

# This will raise a validation error because 'item' is expected to be of type 'int'
try:
    invalid_item = GenericItem[int](item="invalid")
except Exception as e:
    print(f"Validation error: {e}")

Run it; you might have got

Validation error: 1 validation error for GenericItem[int]
item
  value is not a valid integer (type=type_error.integer)

Ref: https://docs.pydantic.dev/1.10/usage/models/#generic-models

Answered By - Spike Lee