Ensure typing across the project

[koladev32]

To improve code quality, readability, and maintainability, we need to ensure consistent usage of type annotations across the entire project. Adding type hints can help prevent errors by clarifying expected input and output types, improve developer experience (DX) by making the code easier to understand, and facilitate static analysis using tools like mypy or Pyright.

Feature Requirements:

1. Add Type Annotations:

   • Review all function signatures, classes, and variables in the project to add appropriate type hints.
   • Ensure that type hints cover parameters, return types, and any complex data structures (e.g., dictionaries, lists) used throughout the code.

2. Maintain Compatibility:

   • The type annotations should not change the behavior of the code. They should be strictly for clarity and should maintain compatibility with existing Python versions supported by the project.

3. Static Type Checking:

   • Optionally integrate static type checking with mypy or a similar tool, adding it to the CI pipeline if applicable. This will help ensure that type annotations remain consistent as the codebase evolves.