Sebastián Ramírez <******@****.***> 1731896744 +0100

So, a Python class is also a **callable**.

Then, in **FastAPI**, you could use a Python class as a dependency.

What FastAPI actually checks is that it is a "callable" (function, class or anything else) and the parameters defined.

If you pass a "callable" as a dependency in **FastAPI**, it will analyze the parameters for that "callable", and process them in the same way as the parameters for a *path operation function*. Including sub-dependencies.

Se você passar algo "chamável" como uma dependência do **FastAPI**, o framework irá analisar os parâmetros desse "chamável" e processá-los da mesma forma que os parâmetros de uma *função de operação de rota*. Incluindo as sub-dependências.

Isso também se aplica a objetos chamáveis que não recebem nenhum parâmetro. Da mesma forma que uma *função de operação de rota* sem parâmetros.

Sebastián Ramírez <******@****.***> 1735583217 +0000

Sebastián Ramírez <******@****.***> 1731896744 +0100

Sebastián Ramírez <******@****.***> 1731896744 +0100

Sebastián Ramírez <******@****.***> 1731896744 +0100

Sebastián Ramírez <******@****.***> 1731896744 +0100

In this case, you would accept any `dict` as long as it has `int` keys with `float` values:

{* ../../docs_src/body_nested_models/tutorial009_py39.py hl[7] *}

/// tip

Keep in mind that JSON only supports `str` as keys.

But Pydantic has automatic data conversion.

		Select(`
			NULL AS bool_field,
			NULL AS int_field,
			NULL AS int8_field,
			NULL AS int16_field,
			NULL AS int32_field,
			NULL AS int64_field,
			NULL AS uint_field,
			NULL AS uint8_field,
			NULL AS uint16_field,
			NULL AS uint32_field,
			NULL AS uint64_field,
			NULL AS float32_field,
			NULL AS float64_field,
			NULL AS string_field,
			NULL AS time_field,