Pattern Proposal: Pure Functional Health Evaluation

Summary

Calculates health scores and reasons as side-effect-free pure functions over metrics models.

Candidate Pattern

• ID: pure-functional-health-evaluation
• Classification: architectural
• Maturity: strategic_direction
• Type: emerging

Observed Signals

No specific signals listed.

Evidence

Supporting Evidence

• src/cas_runner/dashboard/health_model.py (HealthStatus, calculate_health, get_health_reasons) - Provides deterministic health classification and explanation generation from domain metrics.

Scope Assessment

• Evidence Strength: high
• Confidence: high
• Applies to: ideas-to-life-cas

Rationale

• Intent: Ensure deterministic, testable calculation of system and governance health without state mutation.
• Context: Dashboards and compliance monitors need to compute aggregate health status from raw findings and metrics without altering underlying entities.
• Force: Health state computation must be reliable across environments without external state.
• Force: Diagnostic reasons must be cleanly separated from state values.

Traceability

Artifact source: proposed-patterns