Integrate Comprehensive Logging for ALP Core Mechanism

[Alexdyn1927]

Integrate Comprehensive Logging for ALP Core Mechanism

Description

Task

Add logging integration to ALP loop core mechanism

Acceptance Criteria

• Comprehensive logging for ALP iterations
• Configurable logging levels
• Detailed error tracking
• Performance metrics collection
• Minimal system overhead

Summary of Work

Logging Integration for Adaptive Learning Process (ALP)

Overview

This pull request adds comprehensive logging integration to the ALP core mechanism, enabling detailed tracking of iteration performance, errors, and system behavior.

Key Changes

• Added ALPLogger utility in src/alp/logging.py with robust logging capabilities
• Implemented methods for:
  • Iteration logging
  • Error tracking
  • Performance metrics collection
• Supports configurable log levels and detailed context logging

Implementation Details

1. Logging Initialization

   • Configurable logger with custom name and log level
   • Automatic console handler setup
   • Flexible formatting for log messages

2. Iteration Logging

   • log_iteration() method tracks iteration details
   • Supports arbitrary metrics logging
   • Configurable logging levels

3. Error Handling

   • log_error() method provides comprehensive error tracking
   • Captures iteration context and full exception details
   • Supports additional error metadata

4. Performance Tracking

   • track_performance() method calculates and logs iteration performance
   • Tracks elapsed time and timestamps
   • Logs performance metrics at DEBUG level

Testing Approach

• Verified logging functionality
• Tested different log levels
• Validated error logging mechanism
• Ensured minimal performance overhead

Notes

• Logging can be further customized via configuration
• Supports future extensions for more complex logging strategies

Potential Future Improvements

• Add file-based logging support
• Implement distributed logging mechanisms
• Create more granular performance tracking

Changes Made

• Created comprehensive logging utility in src/alp/logging.py
• Implemented ALPLogger class with iteration, error, and performance logging methods
• Added support for configurable log levels and detailed context logging
• Ensured minimal performance overhead with efficient logging mechanisms

Tests

• Verified logging initialization with different log levels
• Tested iteration logging with various metrics
• Validated error logging mechanism with exception details
• Confirmed performance tracking accuracy
• Ensured logging does not significantly impact system performance

Signatures

Staking Key

EasyALNTzoKwgHMHDTnRfwXBSjqvfvghYDRzbrWsP54D: Mbs3quYkssAajMJL7ieBpTWvFYjZ52899GNRtihyZixkWXNTdET4yuqg3qJSEVEHGwbJE5E2tXiwgZveFmMNR3thjZZPqbxGWYiyKTzTX8skcuZgSBA1xTmhqNf2EePsv9feBNb7xvDGkPkPqTRGcehd4UkT57Zdzmg7DNakKadKabWfxG5bbAPsUzyJvNWBb2mTYnejeFSegdBbiMhHvQaYq1eqeM1WUe1wcjxtmeMH1wWMJ2jZBnavXrKzyfFeDaaEtoTwAbFjScnNTU4TAu9JEHtDpik3vQyRz6RSVAro6T65EwrQ6gLLjjASs9KU3JjtjsAjC3YQpQriFy3DsXjXWx1nF2GvFJeohNj6D64jaGY5j6u4bsnonim756p4uKzcpNbx7xG443nEs99dWaXFknU4NH7YYJD8ig

Public Key

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