Implement Type Annotations for Enhanced Code Clarity and Static Checking

[thatvideoshopguy]

Summary

The codebase lacks type annotations, which are essential for clarity and early bug detection. Introducing Python type hints will improve code readability and facilitate static type checking. Some areas of the codebase may require custom type classes due to their complexity.

Examples

Simple function annotation:

```python
def _is_content_a_guide_field(content: Optional[str]) -> bool:
    ...
```

Using custom types for complex structures:

```python
class Config(TypedDict, total=False):
    single_configs: Dict[str, Any]
    down_configs: Dict[str, Any]
    right_configs: Dict[str, Any]

def get_guide_spec(guide_filename: str) -> Dict[str, Config]:
    ...
```

Action Items

• Implement Type Annotations: Add type hints across the codebase, focusing on function parameters, return types, and variable declarations.
• Static Type Checker Integration: Incorporate tools like mypy for rigorous type checking during development.
• Review and Comprehensive Testing: Conduct thorough testing to validate type consistency and overall functionality post-implementation.

Benefits

• Improved Readability: Clearer understanding of function interfaces and data structures.
• Enhanced Bug Detection: Early identification of type-related issues.
• IDE Tooling Support: Better support from IDEs for autocomplete and error detection, boosting development efficiency.