Pattern Proposal: Deterministic Health and Compliance Evaluation

Summary

Calculates categorical health states and evaluates rule compliance using pure, deterministic evaluation functions.

Candidate Pattern

• ID: deterministic-health-and-compliance-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) - Computes health status and diagnostic reasons from architectural metrics.
• src/cas_runner/governance/compliance_engine.py (ComplianceEngine) - Executes compliance checks against governance artifacts.

Scope Assessment

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

Rationale

• Intent: Decouple rule evaluation and health scoring from side-effectful I/O, ensuring consistent and reproducible architecture audits.
• Context: Dashboard reporting and CI gates need an unambiguous measure of whether an architecture repository is healthy, degraded, or failing.
• Force: Subjective or non-deterministic compliance checks lead to flaky CI build failures.
• Force: Metrics calculation must be explainable with actionable diagnostic reasons.

Traceability

Artifact source: proposed-patterns