Is your feature request related to a problem? Please describe.
The codebase contains multiple DEBUG print statements and inconsistent logging approaches, making it difficult to control log output in production environments and debug issues effectively.
Describe the solution you'd like
Implement a centralized logging configuration:
- Remove all DEBUG print statements
- Set up Python's logging module with appropriate configuration
- Create logger instances for each module
- Use appropriate log levels (DEBUG, INFO, WARNING, ERROR, CRITICAL)
- Add configuration for users to control log levels
Example implementation:
import logging
logger = logging.getLogger(__name__)
# Replace print("DEBUG: ...") with:
logger.debug("Detailed debug information")
Describe alternatives you've considered
- structlog for structured logging
- loguru for simplified logging setup
- Custom logging wrapper
Additional context
Benefits:
- Production-ready code
- Better debugging capabilities with configurable log levels
- Cleaner codebase without print statements
- Ability to direct logs to files, external services, etc.
This is a quick win with low effort but medium impact on code quality.
Part of codebase quality improvement initiative identified in refactoring analysis.
Is your feature request related to a problem? Please describe.
The codebase contains multiple DEBUG print statements and inconsistent logging approaches, making it difficult to control log output in production environments and debug issues effectively.
Describe the solution you'd like
Implement a centralized logging configuration:
Example implementation:
Describe alternatives you've considered
Additional context
Benefits:
This is a quick win with low effort but medium impact on code quality.
Part of codebase quality improvement initiative identified in refactoring analysis.