让免费层限流的报告跟真实限流一致，并给少一块结果的静默失败留下函数名和错误类型。

Co-Authored-By: Grok (agent loop)

scripts/functional_layer.py

@@ -0,0 +1,41 @@
+"""One functional benefic/malefic snapshot for the engine, API, and MCP.
+
+This module is not ``functional_benefics.py``. That file is part of the
+rectification freeze and must stay byte-for-byte unchanged.
+"""
+
+from __future__ import annotations
+
+from typing import Any
+
+
+def functional_layer_for_ascendant(ascendant: Any) -> dict[str, Any]:
+    """Return the functional layer for an ascendant payload.
+
+    A dict uses its ``sign``. Anything else is a missing sign and follows
+    the normal ``derive_functional_benefic_malefic`` blocked result.
+    Import or calculation failures return the engine's blocked shape.
+    The exception text stays inside ``effect_on_confidence`` because that
+    field already did; callers must not write this dict to a log.
+    """
+    try:
+        try:
+            from functional_benefics import derive_functional_benefic_malefic
+        except ModuleNotFoundError:
+            from scripts.functional_benefics import derive_functional_benefic_malefic
+
+        sign = ascendant.get("sign") if isinstance(ascendant, dict) else None
+        return derive_functional_benefic_malefic(sign)
+    except Exception as exc:
+        sign = ascendant.get("sign") if isinstance(ascendant, dict) else None
+        return {
+            "status": "blocked",
+            "ascendant": sign,
+            "functional_benefics": [],
+            "functional_malefics": [],
+            "functional_neutrals": [],
+            "yogakarakas": [],
+            "owned_houses": {},
+            "effect_on_confidence": f"未完成功能性吉凶星判定，需降低高严谨结论置信度: {exc}",
+            "source": "strict_functional_benefic_malefic_v2",
+        }