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Strict Python Domain Modeling: Refactoring dict[str, Any] to Data Classes and Enums for Type Safety

Strict Domain Modeling is a theoretical framework advocating for the replacement of flexible, unstructured data representations (e.g., generic dictionaries) with rigid type-safe abstractions within business logic layers to prevent runtime errors and maintain conceptual integrity. This approach relies on formalizing domain objects through Data Classes and Enums to encapsulate validation rules directly into object constructors or state definitions, ensuring that invalid inputs are rejected at the boundaries of the system rather than flowing silently through implementation details. The core principle dictates a bifurcation between boundary contracts (which allow flexibility for interoperability) and internal domain logic (which demands strictness), thereby leveraging static type analysis to reduce cognitive load on developers and AI coding assistants while enforcing invariants like monetary positivity or restricted status enums.