Update proposal for annotated types - also enables pydantic annotated types

[Quaditz]

This would solve goal 1 of Issue 65.

#65

-> Annotated types are useful in combination with pydantic to validate dataclasses (e.g. ranges of int)
-> This PR makes it work with annotated types, but I think it feels quite "hard coded".
-> I tested it locally with different pydantic types and custom created types via typing_extensions.Annotated
-> Please feel free to use this PR as idea input and implement this functionality where it fits best in the code base.

[lucsorel]

thank you @Quaditz for your contribution 😃

As mentioned in the contributing guide (https://github.com/Quaditz/py2puml/tree/main#pull-requests, https://github.com/Quaditz/py2puml/blob/main/CONTRIBUTING.md), could you add unit tests demonstrating the effects of the contribution, please?

I can do the other stuff (updating the version number, adding yourself to the contributors, etc.); but the more I have to do myself, the longer it takes for your contribution to be added (opensource, freetime, etc.).

[lucsorel]

🙏 interesting topic, thanks for bringing it forward.

[Quaditz]

🙏 interesting topic, thanks for bringing it forward.

Thanks! @lucsorel

Could you take a look if everything is alright? I added a UT each for both of the two new usecases:

• Type with Constraints from Pydantic
• Custom created types with Annotated

The new UTs are Passed, but I saw that some of the current ones are Failed. Not sure if I did something wrong? Or maybe they are failed because some use-cases are not implemented yet?