[Fixed] How to fix Pydantic's deprecation warning about using model.dict() method? – Pydantic

by
Ali Hasan
deprecation-warning fastapi llama-cpp-python pydantic visual-studio-code

Quick Fix: Replace .dict() with .model_dump() as the recommended way to convert Pydantic models to dictionaries. Ensure to specify the mode parameter when converting non-JSON serializable objects.

The Problem:

When using the .dict() method on a Pydantic model in FastAPI, a deprecation warning is displayed. Despite upgrading pydantic and VScode, the issue persists.

The Solutions:

Solution 1: Deprecation warning solved using pydantic Model methods

To resolve the deprecation warning related to model.dict(), Pydantic introduces new methods for serialization. The migration guide recommends using .model_dump() instead of .dict(). This method allows for more customization and options when converting models to dictionaries. Alternatively, one can also use dict(model) to obtain a dictionary of raw field values. However, this method does not perform recursive conversion of nested models into dictionaries, which .model_dump() does.

Q&A

How to fix Pydantic’s deprecation warning about using model.dict() method?

In Pydantic V2 .dict() has been changed to .model_dump() (similarly, .json() has been replaced by .model_dump_json()).

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