refactor(validation.py): improve structure

[jeremythegreat01]

Background

Enhances the validation system in validation.py by introducing type safety, better code organization, and improved maintainability while preserving all existing validation logic.

Notes:

• No changes to validation logic
• All existing validation rules remain unchanged

Changes (From Cascade)

1. Type System Implementation

• Added Python type hints throughout the codebase
• Introduced Dict[str, Any] for request data typing
• Added List[str] return type hints for validation results
• Created custom ValidationError exception class

2. Code Architecture Improvements

• Introduced RequestValidator base class for centralized validation
• Created ValidationRule dataclass for field definitions
• Added FieldRequirement enum for future extensibility
• Separated validation rules into predefined constants

3. Documentation

• Added comprehensive docstrings with Args/Returns sections
• Included type hints for better IDE support
• Clear class and method descriptions

4. Code Organization

• Centralized validation logic in RequestValidator class
• Predefined validators as module-level constants
• Used list comprehension for repeated fields (e.g., special instructions)

5. Future-Proofing

• Support for optional fields through FieldRequirement enum
• Extensible validation system for future requirements
• Structured foundation for additional validation rules

Summary by CodeRabbit

• Refactor
  • Improved organization and maintainability of request validation logic through the introduction of structured classes and data handling.
  • Added custom exception handling for validation errors.
  • Enhanced clarity with predefined validators for various request types.

[coderabbitai]

📝 Walkthrough

Walkthrough

The changes in this pull request involve a comprehensive refactor of the request validation logic in validation.py. The previous implementation, which utilized standalone functions for validating requests, has been replaced with a more structured approach using classes and data structures. Key additions include a custom exception class ValidationError, an enumeration FieldRequirement, and a data class ValidationRule. The main validation logic is now handled by the RequestValidator class, which organizes and simplifies the validation process for various request types.

Changes

File	Change Summary
validation.py	Refactored request validation logic; added classes ValidationError, FieldRequirement, ValidationRule, and RequestValidator; updated method signatures for validate_request, validate_msl_request, validate_special_instructions_request, validate_dry_request, and validate_tracescan_request to include type hints and return lists of missing fields.

Sequence Diagram(s)

sequenceDiagram
    participant Client
    participant RequestValidator
    participant ValidationRule
    participant ValidationError

    Client->>RequestValidator: Initialize with ValidationRules
    Client->>RequestValidator: Call validate(data)
    RequestValidator->>ValidationRule: Check required fields
    ValidationRule-->>RequestValidator: Return missing fields
    RequestValidator->>Client: Return list of missing fields

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[coderabbitai]

Actionable comments posted: 0

🧹 Outside diff range and nitpick comments (1)

validation.py (1)

28-41: Consider extending validation to handle optional fields

Currently, the validate method checks for missing required fields but does not process optional fields. While the FieldRequirement enum supports optional fields, consider extending the validation logic to handle optional fields if future requirements necessitate it. This could involve checking for field formats, data types, or applying default values.

📜 Review details

Configuration used: CodeRabbit UI
Review profile: CHILL

📥 Commits

Reviewing files that changed from the base of the PR and between 63142bd and db2435a.

📒 Files selected for processing (1)

• validation.py (1 hunks)

🔇 Additional comments (3)

validation.py (3)

1-27: Effective use of classes and data structures for validation

The introduction of ValidationError, FieldRequirement, and ValidationRule classes effectively organizes validation rules and exceptions, enhancing code readability and maintainability. Utilizing Python's @dataclass decorator simplifies class definitions and provides built-in methods.

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44-91: Predefined validators enhance modularity and reusability

Defining validators as module-level constants for different request types centralizes the validation logic, promoting reusability and maintainability. This approach makes it straightforward to update validation rules for specific request types without affecting the overall system.

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94-112: Validation functions are well-defined with improved type hints

The updated validation functions clearly define input and output types, enhancing code clarity and type safety. The use of specific RequestValidator instances within these functions simplifies the validation process and ensures consistency across different request types.