Visualization logging

[sumane81]

Project Robyn

Generated logging for visualization classes with prompt below

Task Description

• Take the provided code and enhance it with comprehensive logging capabilities.

The logging should include:
DEBUG level logs: - Print data entities being processed.

• Track progress through critical sections of the code. INFO level logs: - Highlight high-level progress milestones.

WARNING and ERROR level logs:

• Capture detailed error messages for troubleshooting.

Instructions

• Focus solely on the requested module/file/method within the provided code.
• Introduce logging statements to meet the specified requirements.
• Deduplicate any redundant log statements to maintain code efficiency.
• Do not alter the existing implementation. Do not remove docstring
• Remove print statements or replace them with logging statements
• Utilize str method from dataclasses if necessary to log information
• Add any private methods needed to make objects printable Logging Guidelines
• Use Python's built-in logging module.
• logger config is already defined for the project. Just instantiate logger if it is not already there.
• Use lazy formatting for logging functions
• Assume data entities have str method implemented.

Code Enhancement Expectations

• The enhanced code should maintain its original functionality.
• Logging statements should be strategically placed for optimal debugging and monitoring.
• The code should remain readable and maintainable. Deliverables The modified Python code with enhanced logging in all methods. A brief explanation of the logging strategy and configuration used.

Evaluation Criteria Correctness: Logging statements accurately capture required information.

Code quality: Enhanced code maintains readability and maintainability.

Logging effectiveness: Logs provide valuable insights for debugging and monitoring.