Validation pack: replay fixtures and acceptance metrics for spatial diagnostics

[DarinShapiro]

Summary

Create a suite of test fixtures and metrics to validate the accuracy of spatial diagnostics.

Why

Spatial inference requires deterministic testing against known 'ground truth' scenarios to prevent regressions.

Scope

• Sample Environments: A set of JSON/SVG fixtures representing typical home layouts.
• Replay Fixtures: Captures of RF metrics for specific scenarios (e.g., 'The Microwave Obstacle', 'The Distant Shed').
• Evaluation Metrics: Automated scoring for placement accuracy and trouble-spot detection.
• Operator Review Tool: A dashboard for manual verification of inferred layouts against ground truth.

Acceptance Criteria

• CI/CD pipeline includes spatial inference validation against standard fixtures.
• Test suite covers 'adjacency-only' fallback scenarios.
• Accuracy metrics meet defined thresholds for known test cases.