优化流程

cadfs_to_cdsl/selector_binding.py

@@ -0,0 +1,34 @@
+from __future__ import annotations
+
+import math
+from typing import Any
+
+
+def _score(expected: dict[str, Any], actual: dict[str, Any]) -> float | None:
+    scores: list[float] = []
+    for key in ("center_mm", "start_mm", "end_mm", "normal", "axis_direction"):
+        if key in expected:
+            left, right = expected[key], actual.get(key)
+            if not isinstance(right, (list, tuple)) or len(left) != len(right): return None
+            delta = math.sqrt(sum((float(a) - float(b)) ** 2 for a, b in zip(left, right)))
+            scores.append(max(0.0, 1.0 - delta / 0.05))
+    for key in ("radius_mm", "plane_offset_mm"):
+        if key in expected:
+            try: delta = abs(float(expected[key]) - float(actual[key]))
+            except Exception: return None
+            scores.append(max(0.0, 1.0 - delta / 0.05))
+    return sum(scores) / len(scores) if scores else 0.0
+
+
+def bind_selector(kind: str, owner_feature_id: str, geometry: dict[str, Any], records: list[dict[str, Any]], *, minimum_score: float = 0.8) -> dict[str, Any]:
+    candidates = []
+    for record in records:
+        owners = record.get("owner_feature_ids") or [record.get("feature_id")]
+        if record.get("kind") != kind or owner_feature_id not in owners: continue
+        score = _score(geometry, record.get("geometry") or {})
+        if score is not None and score >= minimum_score: candidates.append((score, record))
+    candidates.sort(key=lambda item: (-item[0], str(item[1].get("record_id"))))
+    if not candidates: raise ValueError("selector_not_found")
+    if len(candidates) > 1 and abs(candidates[0][0] - candidates[1][0]) <= 1e-9: raise ValueError("selector_ambiguous")
+    score, record = candidates[0]
+    return {"kind": kind, "owner_feature_id": owner_feature_id, "stable_id": record["record_id"], "snapshot_id": record["record_id"], "source": "cadfs_featurescript", "confidence": round(score, 6), "geometry": record.get("geometry") or geometry}