I am working on a FastAPI project using Pydantic v2 and SQLAlchemy. I want to create a reusable mixin class that can be used to apply custom transformations to fields in Pydantic models. Specifically, I want to:

1. Define a base class that performs custom operations on fields, such as transformations or logging.
2. Use this base class as a mixin in various Pydantic models throughout my application.
   Here’s a simplified version of what I am trying to achieve:

from pydantic import BaseModel
from typing import Dict, Any

class TranslatedBaseModel(BaseModel):
    def model_dump(self, *args, **kwargs) -> Dict[str, Any]:
        instance_dict = super().model_dump(*args, **kwargs)
        print(instance_dict)
        # Custom field transformation or logging
        return instance_dict

class BlogOutputSchema(TranslatedBaseModel):
    category: CategoryOutputSchema
    translations: list[BlogTranslationOutpuSchema]
    image: str

    class Config:
        from_attributes = True
        json_loads = orjson.loads
        json_dumps = orjson.dumps


@router.get("/", response_model=list[BlogOutputSchema])
async def get_projects(request: Request, db: Session = Depends(get_db)):
    data = db.query(Blog).options(
          joinedload(Blog.translations),
          joinedload(Blog.category),
    ).filter(Blog.blog_status == "published")
    blogs = [BlogOutputSchema.model_validate(blog) for blog in data]

    return data.all()

Despite overriding model_dump(), it seems the method is not being invoked when I use Pydantic models. I expect the method to be called when converting the Pydantic model to a dictionary or JSON, but it is not showing the custom print statements.