Implement Comprehensive Logging Schema for ALP Loop Iterations

[valin1993]

Implement Comprehensive Logging Schema for ALP Loop Iterations

Description

Task

Design a flexible logging schema for ALP loop iterations

Acceptance Criteria

• Provides a comprehensive tracking mechanism for ALP loop iterations
• Supports dynamic configuration and performance metrics
• Enables serialization of iteration data
• Manages iteration lifecycle with clear status tracking
• Supports error handling and logging
• Provides flexibility for different learning scenarios

Summary of Work

Overview

This pull request introduces a flexible and comprehensive logging schema for Adaptive Learning Process (ALP) loop iterations, enabling detailed tracking and analysis of the learning process.

Key Components

1. IterationStatus Enum

   • Defines clear status stages for iterations: STARTED, IN_PROGRESS, SUCCESS, FAILED, TERMINATED
   • Provides semantic representation of iteration lifecycle

2. IterationMetrics Dataclass

   • Captures comprehensive metrics for each iteration
   • Includes:
     • Unique iteration ID
     • Timestamp
     • Performance metrics
     • Learning process details
     • Error tracking
     • Configuration context
   • Methods for updating and serializing metrics

3. ALPLoggingManager Class

   • Manages iteration tracking
   • Supports configurable maximum iterations
   • Provides methods for:
     • Starting new iterations
     • Retrieving latest/all iterations
     • Automatic iteration management

Implementation Details

• Used dataclass for clean, typed metric representation
• Implemented JSON serialization
• Supports dynamic configuration tracking
• Flexible error and performance recording
• Type-hinted for improved type safety

Testing Approach

• Tested iteration creation and tracking
• Verified metrics recording
• Validated JSON serialization
• Confirmed max iterations management

Notes

• Minimal external dependencies
• Performance-conscious design
• Easily extensible for future requirements

Changes Made

• Created IterationStatus enum for tracking iteration states
• Implemented IterationMetrics dataclass with comprehensive tracking capabilities
• Developed ALPLoggingManager for managing iteration metrics
• Added methods for recording performance, learning metrics, and errors
• Implemented JSON serialization for metrics
• Supported dynamic configuration tracking

Tests

• Verify IterationStatus enum covers all iteration states
• Test IterationMetrics creation and update methods
• Validate JSON serialization of metrics
• Confirm ALPLoggingManager iteration tracking
• Test max iterations management
• Verify error recording functionality

Signatures

Staking Key

AfoZUkZfJSxTqy9XdG9qCSUsfqzySwuexqZzpD6oeYva: W4Y2UrEmzjhL6xFMK9UAYzdSpwR6t1zJU1zTBYeroPC3UHQjUJLCZ1T4KctfpdwJNrQYUyVfuUQFYmPLrxAwu62QaukVt2ReiMsedSiqZ9Z8ZqrBdEGFnStkMKiJS76B6M1AwWP3f8t6y5LyvYAKuz3NxE5FHvurtw4H6AvF9jDn9ZstocfV9fgzVEzKNQ172NSRCvGpH5b5dr6jnnSourvj82kPgya8i3M3xhoPPLi89qs4asxWgsSkR6SMT4E1JCvQLQ7wPThY5CiU1pVWfw8StMDZRypzDZGMDSXPFJAuEbYMXxyA9Xf7ydTZtVd25zu7A5yx4rj5zpbAFrjdVZCN39NZs5Wz2oL25zcuAi4LFE2PURMAzRkRXs2bmAvhpME1PyVpqyB3N3xfQaoAuBFhmsw7VKyc6MA

Public Key

D5VNc6HXDCJwfNP7nbNk7yTC96mW9m7UFtU4oHiK2H8T: 3qWNZyKtZENB3cVgD7PQ9VRzt6yuzq1ZgWcs55oyqMLARoNETheqMNerZ58fMEPxch9EicEecB5G2XH4z45KqELBgRmrf2zGPCLa3CeoaNXC8Kxj4sARGS5AHtJg7XCUzW7nLSgebuf1BS6EJiC7ySUPdfrzKQJkj5DjfMUV6pervEFPANwpVHPiXjDKEZMpmc6jjiNcR9L7VNQ3PnnayX4GTTHoDEz9Hpw9utSrdggiUogSHLiHidiReXdNVD1dpUmQVBkwRjXBht8pU2h3fP7dEDPd6QTXtevED4BKpFWifrVQVHC2dqBbBrTepwYoJ8XHz2pEwiw7QXZa7gxxPojUX9wZ8L7pPhUaYnhJbfJmV5PcSQmuveC6uP96wPy8Qbf3AM4pS2APn7whCLZJ6ctirrFC7WjATQEp