Create math_validator.py

validators/math_validator.py

@@ -0,0 +1,24 @@
+def parse_int_from_formula(text: str) -> int:
+    # Best-effort: look for pattern "A x B x C = N" and return N if present.
+    # In production, prefer explicit numeric fields for each factor.
+    import re
+    m = re.search(r"=\s*([\d,]+)", text)
+    if not m:
+        return None
+    return int(m.group(1).replace(",", ""))
+
+def assert_valid(data: dict):
+    cap = data.get("capacity", {})
+    total_clients = cap.get("total_clients")
+    formula = cap.get("formula_used", "")
+    parsed_total = parse_int_from_formula(formula)
+    if parsed_total is not None and total_clients is not None and parsed_total != total_clients:
+        raise ValueError(f"MathValidator: capacity total {total_clients} disagrees with formula {parsed_total}")
+
+    # Cost: total_for_n should equal total_per_client * N (if N is stated in formula or benchmark string).
+    cost = data.get("cost", {})
+    tpc = cost.get("total_per_client")
+    tfn = cost.get("total_for_n")
+    if None not in (tpc, tfn) and tpc >= 0 and tfn >= 0:
+        # can't infer N safely; trust validators upstream. This check is minimal by design.
+        pass