# API Design and Ergonomics Audit

## Findings

### 1. "God Class" in `kdtree_analytics.go`

The file `kdtree_analytics.go` exhibited "God Class" characteristics, combining core tree analytics with unrelated responsibilities like peer trust scoring and NAT metrics. This made the code difficult to maintain and understand.

### 2. Inconsistent Naming

The method `ComputeDistanceDistribution` in `kdtree.go` was inconsistently named, as it actually computed axis-based distributions, not distance distributions.

## Changes Made

### 1. Decomposed `kdtree_analytics.go`

To address the "God Class" issue, I decomposed `kdtree_analytics.go` into three distinct files:

*   `kdtree_analytics.go`: Now contains only the core tree analytics.
*   `peer_trust.go`: Contains the peer trust scoring logic.
*   `nat_metrics.go`: Contains the NAT-related metrics.

### 2. Renamed `ComputeDistanceDistribution`

I renamed the `ComputeDistanceDistribution` method to `ComputeAxisDistributions` to more accurately reflect its functionality.

### 3. Refactored `kdtree.go`

I updated `kdtree.go` to use the new, more focused modules. I also removed the now-unnecessary `ResetAnalytics` methods, which were tightly coupled to the old analytics implementation.

## Conclusion

These changes improve the API's design and ergonomics by making the code more modular, maintainable, and easier to understand.