Update codex/formulas.py

codex/formulas.py

@@ -8,16 +8,17 @@ class Formula:
         self.expression = expression
 
     def evaluate(self, agent: dict) -> float:
-        overlay = agent.get("collapse_overlay", {})
+        overlay = agent.get("collapse_overlay", {}) or {}
         tau_eff = overlay.get("tau_eff", 1.0)
         beta = overlay.get("beta_band", 0.5)
-        weights = overlay.get("operator_weights", {})
+        weights = overlay.get("operator_weights", {}) or {}
         tier = agent.get("tier", "Tier_1")
         tier_level = int(tier.split("_")[1]) if "_" in tier else 1
         resonance = 1.2 if agent.get("emotional_resonance") else 1.0
 
-        coupling_sum = sum(weights.values())
-        coupling = coupling_sum / (1.0 + 0.25 * max(1, len(weights)))
+        coupling_sum = sum(v for v in weights.values() if isinstance(v, (int, float)))
+        weight_count = max(1, len(weights))
+        coupling = coupling_sum / (1.0 + 0.25 * weight_count)
 
         drift_penalty = 0.18 * tier_level
         drift_resilience = 1.0 + 0.05 * (tier_level - 1)
@@ -34,6 +35,16 @@ GVU_FORMULAS = {
 }
 
 def rft_invariants(agent: dict) -> dict:
-    overlay = agent.get("collapse_overlay", {})
+    """
+    Always returns a dict; never None. Uses safe defaults if data is missing.
+    """
+    overlay = agent.get("collapse_overlay", {}) or {}
     tier = agent.get("tier", "Tier_1")
     tier_level = int(tier.split("_")[1]) if "_" in tier else 1
+    operators = agent.get("symbolic_operators", []) or []
+    return {
+        "tau_eff": overlay.get("tau_eff", 1.0),
+        "beta_band": overlay.get("beta_band", 0.5),
+        "operator_count": len(operators),
+        "tier_level": tier_level,
+    }