feat(tracker): ✨ Enhance AimTracker to support Distribution logging for numeric and categorical variables

[SongshGeo]

This commit introduces significant improvements to the AimTracker class, enabling it to log agent variables as Distribution objects for numeric types and as frequency statistics for categorical types. The changes include new configuration options for distribution_bin_count and log_categorical_stats, enhancing flexibility in data tracking. Additionally, comprehensive tests are added to ensure correct functionality across various data types and configurations, improving the robustness of the tracking system.

Summary by CodeRabbit

• New Features

  • Enhanced Aim tracker with configurable distribution bin count (1–512 range)
  • Added optional categorical statistics logging for tracking frequency and distribution of string/categorical data
  • Improved agent variable logging with better handling of numeric, boolean, and categorical data types

• Documentation

  • Added Aim backend data-type handling documentation with configuration examples and error reference

• Tests

  • Added comprehensive test coverage for Aim tracker initialization, validation, and logging across multiple data types

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[coderabbitai]

📝 Walkthrough

Walkthrough

The AimTracker is enhanced to support Aim Distribution objects with new configuration parameters (distribution_bin_count and log_categorical_stats) and significantly expanded agent variable logging that handles multiple data types including booleans, numerics, and categorical strings with specialized metrics.

Changes

Cohort / File(s)	Summary
Tracker Implementation abses/utils/tracker/aim_tracker.py	Added Distribution import and availability check; new initialization parameters for distribution_bin_count (validated 1-512) and log_categorical_stats (default True); expanded log_agent_vars to handle lists, numpy arrays, pandas Series, and scalars with type-specific logging paths (booleans as 0/1 with counts, numerics via Distribution, strings with frequency statistics); sanitizes categorical metric names.
Documentation Updates docs/home/configuration_schema.md	Added Aim backend configuration schema documentation for distribution_bin_count and log_categorical_stats; new section explaining agent variable distribution tracking with examples for numeric, boolean, and categorical types; added common tracker error entry for invalid distribution_bin_count.
Test Suite tests/utils/test_aim_tracker.py	Comprehensive test coverage for AimTracker initialization, validation, and logging behavior; mocks Aim's Run and Distribution; tests numeric, boolean, and categorical variable logging with edge cases (NaN, empty values, None filtering); validates distribution statistics, category sanitization, and multi-variable logging scenarios.

Sequence Diagram

sequenceDiagram
    participant Client as Client Code
    participant Tracker as AimTracker
    participant Processor as Data Processor
    participant Aim as Aim (Run/Distribution)
    
    Client->>Tracker: log_agent_vars(data_dict, step)
    activate Tracker
    
    Tracker->>Processor: Process each variable
    activate Processor
    
    alt Numeric Type
        Processor->>Processor: Convert to Series/check length
        alt Multiple Values
            Processor->>Aim: Log as Distribution
        else Single Value
            Processor->>Aim: Log as scalar
        end
    else Boolean Type
        Processor->>Processor: Convert to 0/1, compute stats
        Processor->>Aim: Log Distribution + true_count, true_ratio
    else Categorical Type
        alt log_categorical_stats enabled
            Processor->>Processor: value_counts, sanitize names
            Processor->>Aim: Log unique_count, most_common_count, ratios, per-category counts
        end
    else Other Type
        Processor->>Processor: Attempt numeric conversion
        alt Conversion Success
            Processor->>Aim: Log as Distribution or scalar
        end
    end
    
    deactivate Processor
    deactivate Tracker
    
    Note over Aim: All metrics stored with step parameter

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Estimated code review effort

🎯 4 (Complex) | ⏱️ ~65 minutes

Poem

🐰 Through aims and distributions we bound with glee,
Categorical counts now logged with care so free,
Booleans hop to metrics, numerics align,
With bins full of wisdom, the data will shine! ✨

🚥 Pre-merge checks | ✅ 3

✅ Passed checks (3 passed)

Check name	Status	Explanation
Description Check	✅ Passed	Check skipped - CodeRabbit’s high-level summary is enabled.
Title check	✅ Passed	The title clearly identifies the main change: enhancing AimTracker to support Distribution logging for numeric and categorical variables, which aligns with the primary objectives and modifications across all files.
Docstring Coverage	✅ Passed	Docstring coverage is 87.50% which is sufficient. The required threshold is 80.00%.

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✨ Finishing touches

• 📝 Generate docstrings

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