Create policy_validator.py

validators/policy_validator.py

@@ -0,0 +1,20 @@
+import json
+
+def assert_valid(data: dict, constraints_path: str):
+    with open(constraints_path, "r", encoding="utf-8") as f:
+        constraints = json.load(f)
+
+    analytics_first = constraints.get("analytics_first", True)
+    require_longitudinal = constraints.get("require_longitudinal", True)
+
+    # Recommendations must be analytics/longitudinal, not generic ops,
+    # if constraints say so.
+    recs = [r.lower() for r in data.get("recommendations", [])]
+    if analytics_first:
+        banned = ["hire more staff", "seek funding", "generic scheduling"]
+        if any(any(b in r for b in banned) for r in recs):
+            raise ValueError("PolicyValidator: recommendations contain generic ops; expected analytics-first.")
+
+    if require_longitudinal:
+        if not any(("longitudinal" in r or "follow-up" in r or "risk" in r) for r in recs):
+            raise ValueError("PolicyValidator: at least one recommendation must reference longitudinal risk/follow-up.")