Comprehensive Logging, Error Handling, and Debug Framework

[sjackson0109]

Overview

The codebase currently lacks comprehensive error handling, logging standards, and debugging capabilities. Many functions use basic print statements or generic exception handling.

Current Issues

• Inconsistent error handling patterns across modules
• Basic print statements instead of structured logging
• No standardized debugging framework
• Missing graceful error recovery mechanisms
• Limited error context and traceability

Proposed Improvements

1. Structured Logging

import logging
import structlog

# Configure structured logging
logging.basicConfig(
    format=\"%(message)s\",
    stream=sys.stdout,
    level=logging.INFO,
)

logger = structlog.get_logger()

2. Error Handling Standards

• Create custom exception classes for different error types
• Implement retry mechanisms with exponential backoff
• Add proper error context and user-friendly messages
• Use context managers for resource management

3. Debug Infrastructure

• Add debug modes with varying verbosity levels
• Implement performance profiling hooks
• Create diagnostic information collection
• Add health check endpoints

Implementation Plan

1. Create logging_config.py with standardized logging setup
2. Define custom exception hierarchy in exceptions.py
3. Add error handling decorators for common patterns
4. Implement debug utilities and performance monitoring
5. Update all modules to use new standards

Benefits

• Better debugging and troubleshooting capabilities
• Improved user experience with meaningful error messages
• Enhanced monitoring and observability
• Easier maintenance and issue resolution

[sjackson0109]

PR #81 looks like it's nicely aligned to this; falls short of the implementation plan, but my proposed discussion isn't the only way to achieve a similar goal. Happily sit back and see what comes out of it.