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Improve code modularity

microsoft/markitdown
Based on 3 comments
Python

Organize code into well-structured, reusable components by extracting specific functionality into separate functions, using flexible parameter patterns, and consolidating duplicate logic. This improves readability, maintainability, and extensibility.

Code Style Python

Reviewer Prompt

Organize code into well-structured, reusable components by extracting specific functionality into separate functions, using flexible parameter patterns, and consolidating duplicate logic. This improves readability, maintainability, and extensibility.

Key practices:

  1. Extract validation logic: When you have complex validation checks, create dedicated validation functions rather than embedding them inline
  2. Use parameter forwarding: When passing parameters to nested functions, consider using **kwargs to create a flexible foundation for future extensions
  3. Consolidate duplicate functionality: When similar logic appears in multiple places, refactor it into a shared, reusable function

Example of good modularity:

# Instead of inline validation
def process_file(file_path):
    if not file_path.exists():
        _exit_with_error(f"File does not exist: {file_path}")
    if not file_path.is_file():
        _exit_with_error(f"Path is not a file: {file_path}")
    # ... processing logic

# Extract validation into separate function
def _validate_file_path(file_path):
    if not file_path.exists():
        _exit_with_error(f"File does not exist: {file_path}")
    if not file_path.is_file():
        _exit_with_error(f"Path is not a file: {file_path}")

def process_file(file_path):
    _validate_file_path(file_path)
    # ... processing logic

# Use parameter forwarding for flexibility
def create_converter(**kwargs):
    return CustomConverter(**kwargs)  # Instead of passing individual params
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