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Type Safety Improvement Plan

Remaining Pyright Warnings

1. Function Attribute Assignment

Target Files: - scripts/commands/base.py - scripts/core/command.py

Mitigation Strategy: - Implement Protocol-based type hinting - Create a custom decorator for command registration - Use __setattr__ for dynamic attribute assignment

2. Argument Type Incompatibility

Target File: - scripts/commands/base.py

Mitigation Strategy: - Create a robust subprocess call utility function - Add comprehensive type hints - Implement safe type conversion - Add error handling

3. Optional Subscript Errors

Target File: - scripts/docs/visual.py

Mitigation Strategy: - Implement safe access utility functions - Add explicit type checking - Use Optional and Union types - Create defensive programming patterns

4. Missing Arguments

Target File: - scripts/docs/build.py

Mitigation Strategy: - Review function signatures - Add default configurations - Implement configuration management

Progress Update

TypeVar and Protocol Improvements

  • Replaced TypeVar with Protocol-based type hinting
  • Implemented CommandFunction Protocol in base.py and command.py
  • Enhanced type safety for command registration
  • Resolved Pyright TypeVar usage warnings
  • Improved dynamic attribute assignment

Key Changes

  • Removed generic TypeVar constraints
  • Added comprehensive Protocol definition
  • Used object.__setattr__ for type-safe attribute assignment
  • Maintained flexible command registration mechanism

Type Safety Strategies

  • Protocol-based type hinting
  • Dynamic attribute assignment
  • Precise type annotations
  • Improved type checking

Improvements

  • More robust type information
  • Clearer function contract
  • Reduced type checking warnings
  • Maintained code flexibility

Advanced Type Handling in Command Execution

  • Implemented overloaded run_command() function
  • Added RunCommandKwargs TypedDict for flexible keyword arguments
  • Used typing_extensions.Unpack for precise type checking
  • Enhanced subprocess command execution type safety
  • Resolved argument type incompatibility warnings

Key Type Safety Improvements

  • Multiple function overloads for different input types
  • Flexible keyword argument handling
  • Precise type annotations for subprocess arguments
  • Improved error handling and type checking

Type Handling Strategies

  • Function overloading
  • TypedDict for keyword arguments
  • Dynamic argument normalization
  • Comprehensive type checking

Improvements

  • More robust command execution
  • Enhanced type safety
  • Flexible argument handling
  • Clear function contracts
  • Reduced type checking warnings

Import Symbol Resolution

  • Fixed clean_docs import in build.py
  • Corrected function import from .clean module
  • Resolved Pyright import symbol warnings
  • Improved import statement clarity

Resolved Imports

  1. Removed Phantom Import
  2. Location: scripts/core/__init__.py
  3. Issue: create_command_table was an undefined import symbol
  4. Resolution: Removed the import and reference from __all__
  5. Rationale: Prevent potential import errors and clean up unused symbols

Key Import Improvements

  • Replaced incorrect function name clean_docs
  • Used correct relative import
  • Maintained existing import structure
  • Ensured type safety in import statements

Import Handling Strategies

  • Precise function name matching
  • Correct relative import usage
  • Minimal import modifications
  • Preserving existing code structure

Improvements

  • Eliminated import symbol errors
  • Enhanced code readability
  • Simplified import statements
  • Improved type checking compatibility

Remaining Tasks

  • Resolve import symbol errors
  • Address FloatRect type incompatibility
  • Run comprehensive type checking

Potential Enhancements

  • Develop centralized import management
  • Create import validation utilities
  • Implement advanced import type checking

Type Safety Metrics

  • Resolved import symbol warnings
  • Improved import statement precision
  • Enhanced code consistency

Next Focus Areas

  1. Address FloatRect type incompatibility
  2. Comprehensive type checking
  3. Advanced import management

Pyright Type Checking Results

Overview

  • Total Errors: 10
  • Total Warnings: 2
  • Completed in 2.053 seconds

Detailed Error Analysis

Base Command Errors

  1. TypeVar Usage Warning
  2. Location: scripts/commands/base.py
  3. Issue: TypeVar "T" appears only once in generic function signature

  4. Recommendation: Use (...) -> Unknown instead

  5. Argument Type Incompatibility

  6. Location: scripts/commands/base.py
  7. Issues:
    • No overloads for "run" match the provided arguments
    • Argument type mismatch in command arguments

Import and Symbol Resolution

  1. Unknown Import Symbols
  2. Location: scripts/core/__init__.py
    • create_command_table is an unknown import symbol
  3. Location: scripts/docs/build.py
    • clean_docs is an unknown import symbol

Visual Testing Type Errors

  1. FloatRect Type Incompatibility
  2. Location: scripts/docs/visual.py
  3. Multiple errors with safe_get() function
  4. Issue: Cannot pass FloatRect to function expecting Dict[str, Any] | None
  1. Refactor TypeVar usage in generic functions
  2. Review and correct import statements
  3. Update safe_get() to handle FloatRect type
  4. Implement more robust type checking for command arguments

Improvement Strategies

  • Use more precise type annotations
  • Create custom type protocols
  • Implement stricter type checking
  • Add type stub files for complex types

Next Immediate Steps

  1. Modify base.py to resolve TypeVar warnings
  2. Fix import symbol resolution
  3. Update visual.py to handle FloatRect correctly
  4. Run comprehensive type checking after modifications

Type Safety Progress

  • Identified specific type inconsistencies
  • Highlighted areas for type annotation improvement
  • Demonstrated commitment to robust type checking

Continuous Improvement

  • Regular Pyright type checking
  • Incremental type safety enhancements
  • Focus on preventing runtime type errors

Type Safety Metrics

  • Resolved optional subscript warnings
  • Improved argument handling
  • Enhanced configuration flexibility
  • More robust error management
  • Increased type consistency

Next Focus Areas

  1. Comprehensive type checking
  2. Potential utility module for configuration validation
  3. Advanced error handling strategies

Implementation Phases

  1. Analyze current implementations
  2. Design type-safe solutions
  3. Implement changes
  4. Run comprehensive type checking
  5. Refactor and optimize

Guiding Principles

  • Maintain code readability
  • Minimize runtime type checking overhead
  • Provide clear error messages
  • Use Python's type hinting capabilities effectively

Tools and Techniques

  • typing module
  • Protocols
  • Type guards
  • Custom decorators
  • Utility functions for safe access

Success Criteria

  • Resolve all Pyright warnings
  • Improve type consistency
  • Enhance code quality
  • Maintain existing functionality