Basics about hydra and Pydantic:

• https://www.gaohongnan.com/software_engineering/config_management/01-pydra.html
• What is a dataclass and why you still need pydantic?
• Basic idea behind Pydantic models and how it can be combined with hydra

Pydantic Concepts

Pydantic Fields

• •  https://docs.pydantic.dev/latest/concepts/fields/
  • default_factory - https://docs.pydantic.dev/latest/api/fields/#pydantic.fields.FieldInfo
  • examples vs defaults

• • pydantic field and error types - https://lyz-code.github.io/blue-book/coding/python/pydantic/#error-handling

• • • useful to understand error handling and field customization
    • https://docs.pydantic.dev/latest/errors/errors/

Controlling Pydantic global behavior

• https://docs.pydantic.dev/2.0/usage/model_config/
• Option to control extra attributes

Other concepts

• Union and discriminators - https://docs.pydantic.dev/latest/concepts/unions/#discriminated-unions-with-str-discriminators
• Check - model_construct and model_dump

• Pydantic strict vs lax mode - https://docs.pydantic.dev/2.0/usage/strict_mode/

Suggestion regarding best practices -

Tutorials:

• https://realpython.com/python-pydantic/
• https://python.useinstructor.com/concepts/fields/#omitting-fields-from-schema-sent-to-the-language-model
• https://medium.com/@marcnealer/a-practical-guide-to-using-pydantic-8aafa7feebf6