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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
`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
…rsion With this contingency in place Pydantic no longer need to be 2.9 or greater
Merging this into main per @yarikoptic's request. The PR has already grown to the point that meaningful review is not practical. |
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Done locally to replace
This PR improves the existing conversion from Pydantic models to LinkML the following areas:
EnumDefinition
metamodel are populated more accuratelyslot usage
in class populationREADME.md