Add Pydantic to SDG for stronger validation, error handling, and extensibility

[IanHoang]

Description

This PR adds pydantic to OSB's SDG feature that will debut with OSB 2.0. Pydantic ensures that data conforms to the format OSB expects before it uses it to generate data. It uses type hints to enforce data validation at runtime and provides robust error handling. This will overall make SDG more robust, prevent bugs, and make it easier to add new configurations that users can toggle with.

What's changed?

• Not much has changed. Essentially did a swap-in-and-replace. I've renamed types.py to models.py. This module originally contained just a dictionary containing default values for generation settings and a dataclass that tracks SDG metadata. The dataclass has been converted to a pydantic model and there are new models that relate to the sdg-config.yml file users provide. This limits the chance of users introducing subtle bugs.
• Updated pylint from 2.6.0 to 2.9.0 to address compatibility issues with newer libraries like pydantic. While doing this, I updated .pylintrc to include more lint ids to ignore that are not necessary. These came up with the update from 2.6.0 to 2.9.0

Ran several E2E tests with different scenarios. SDG performance remains the same. This is an interim PR that lays strong foundation for subsequent PRs related to user sdg-config changes.

Issues Resolved

#930

Testing

• Tested with custom sdg with config
• Tested with custom sdg without config
• Tested with basic mappings without config
• Tested with basic mappings with config
• Tested with complex mappings without config
• Tested with complex mappings with config
• Tested rollovers

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