Pattern Proposal: Functional Health Evaluation

Summary

Composite health calculation is implemented as pure, side-effect-free functions operating on status models.

Candidate Pattern

• ID: functional-health-evaluation
• Classification: architectural
• Maturity: established
• Type: implemented

Observed Signals

No specific signals listed.

Evidence

Supporting Evidence

• src/cas_runner/dashboard/health_model.py (HealthStatus, calculate_health, get_health_reasons) - Pure functions evaluating system and governance metrics into categorized health states.

Scope Assessment

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

Rationale

• Intent: Isolate health calculation and explanation logic from I/O or stateful monitoring agents.
• Context: Dashboards and CLI tools need to assess system health and provide explanatory reasons from point-in-time metrics.
• Force: Health checks must be computable without side effects.
• Force: Calculations must be easily verifiable via unit tests with arbitrary mock metrics.

Traceability

Artifact source: proposed-patterns