Generic support for data class-based bindings

[shreyabatra4]

Curious to hear whether generic support for data class-based bindings would improve your experience developing functions.

From this issue:

One possible way to implement generic handling of bindings is to allow users to annotate function parameters with a dataclass. The argument data is then treated as a conforming JSON object.

For example:

  import dataclasses
  
  @dataclasses.dataclass
  class MyType:
      id: int
      body: str
  
  def func(arg: MyType) -> str:
      return arg.body

In function.json such bindings would then have to specify dataType: json.

[danielniccoli]

I would suggest to treat Pydantic as a first-class citizen, instead of developing a custom implementation that's inferior to an already widely used library, that's created for the exact same purpose. In addition to that, also treat LiteStar and FastAPI as a first-class citizen for OpenAPI support, which in turn treats Pydantic as an integral part of that.