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  • Can Pydantic model_dump () return exact type? - Stack Overflow
    We have model_dump() but its return type hint is dict[str, Any] This is annoying is because I want to write a FastAPI backend with SQLAlchemy ORM and Pydantic models When creating an ORM model we have only one option (I think) to create an instance, calling constructor with kwargs
  • python - Field ordering on . model_dump () - Stack Overflow
    When I call my_model model_dump() I need the fields to be ordered in a specific way Pydantic has rules for how fields are ordered However my issue is I have a computed_field that I need to be dumped before other non-computed fields Pydantic seems to place this computed field last no matter what I do
  • Pydantic enum field does not get converted to string
    This is my preferred way of doing this as you don't always want to loose the enum type when using model_dump, would be nicer to pass use_enum_values when calling model_dump Using model_dump_json does not always work in our use case either –
  • pydantic convert to jsonable dict (not full json string)
    Pydantic 2 There is the model_dump() method accepting the mode parameter mode: Literal['json', 'python'] | str = 'python' If mode is 'json', the dictionary will only contain JSON serializable types If mode is 'python', the dictionary may contain any Python objects
  • python - Limit depth of model_dump in pydantic - Stack Overflow
    Pydantic will convert a complex model into a dictionary if you call model_dump For example: class Level3(BaseModel): deep_field: str class Level2(BaseModel): mid_field: str level3: Lev
  • python - How to exclude Optional unset values from a Pydantic model . . .
    If what you needed is excluding Unset or None parameters from the endpoint's response, without necessarily calling model dict( ) (or, in Pydantic V2 model model_dump( )) inside the endpoint on your own, you could instead use the endpoint's decorator parameter response_model_exclude_unset or response_model_exclude_none (see the relevant documentation and related answers here and here)
  • pydantic exclude multiple fields from model - Stack Overflow
    In pydantic is there a cleaner way to exclude multiple fields from the model, something like: class User(UserBase): class Config: exclude = ['user_id', 'some_other_field'] I am
  • Pydantic. BaseModel. model_dump () throughs AttributeError
    I'm trying to use Pydantic BaseModel model_dump() but when I call it AttributeError: type object 'BaseModel' has no attribute 'model_dump' raises Also tried it instantiating the BaseModel class The thing is that the vscode hint tool shows it as an available method to use, and when I use Pydantic BaseModel dict() it warns me that I should use model_dump()
  • Exporting and Loading nested Pydantic models - Stack Overflow
    Since pydantic 2 0, pydantic no longer digs through all your models by default and only outputs the immediate models to dict, string, json, etc They do this to [ ] ensure that you know precisely which fields could be included when serializing, even if subclasses get passed when instantiating the object





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