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Major refactoring to support more thorough conversion of dandischema pydantic models #1

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Allow classes to be input as positional argument makes
the function more portable
This func is intended to be used for converting
a docstring to description in metadata in a
LinkML schema
A method that adds the slots construed from
the models in `self._models` to the schema
In generate_linkml_from_aind.py
`fetch_defs()` is a function for fetching Python objects
from given modules that provide schema definitions
The use of `from __future__ import annotations` solicit hard to
predict behaviors from Pydantic and Typer in older Python versions
The use of `from __future__ import annotations` solicit hard to
predict behaviors from Pydantic and Typer in older Python versions
`pydantic.BaseModel` doesn't really model anything. It is merely
a template to specify a model.
Pydantic 2.9 adds support of validation of complex numbers.
To be compatible with Pydantic 2.9, We need this interface
defined.
Pydantic 2.8 doesn't have "core_schema.ComplexSchema"
needed in the current code. Let's support Pydantic 2.8
only when needed
Due to the transfer of the project to the DANDI
organization on github
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