Module diagnostics 

Stack Visualization, Diagnostics, and Reporting

ML-driven system for visualizing, diagnosing, and reporting on the health of the Sovereign AI Stack. Implements Toyota Way principles for observability.

Toyota Way Principles

• Mieruka (Visual Control): Rich ASCII dashboards make health visible
• Jidoka: ML anomaly detection surfaces issues automatically
• Genchi Genbutsu: Evidence-based diagnosis from actual dependency data
• Andon: Red/Yellow/Green status with stop-the-line alerts
• Yokoten: Cross-component insight sharing via knowledge graph

Re-exports

pub use super::diagnostics_ml::ErrorForecaster;

pub use super::diagnostics_ml::ForecastMetrics;

pub use super::diagnostics_ml::IsolationForest;

Structs

Anomaly

Detected anomaly in the stack

ComponentMetrics

Quality and performance metrics for a component

ComponentNode

A component in the stack knowledge graph

GraphMetrics

Computed graph-level metrics

HealthSummary

Summary of stack health for dashboard

StackDiagnostics

Main diagnostics engine for stack analysis

Enums

AndonStatus

Andon board status for the entire stack

AnomalyCategory

Categories of anomalies

HealthStatus

Health status for components (Andon-style visual control)

Functions

render_dashboard

Render diagnostics as ASCII dashboard