from __future__ import annotations import sys import tempfile from pathlib import Path from OCC.Core.BRepPrimAPI import BRepPrimAPI_MakeBox, BRepPrimAPI_MakeTorus PROJECT_ROOT = Path(__file__).resolve().parent.parent SCRIPTS_DIR = Path(__file__).resolve().parent for path in (PROJECT_ROOT, SCRIPTS_DIR): if str(path) not in sys.path: sys.path.insert(0, str(path)) from step_editor.model import StepModel from step_editor.step_io import _write_step from step_editor.ui_helpers import INFO_LABELS from verify_hole_resize import _first_hole_face, _write_through_hole_model # noqa: E402 from verify_slot_resize import _first_slot_face, _write_half_round_slot_model # noqa: E402 def _assert(condition: bool, message: str) -> None: if not condition: raise AssertionError(message) def _top_planar_face(model: StepModel) -> int: best: tuple[float, int] | None = None for face_id in range(len(model.faces)): info = model.face_info(face_id) if info.get("surface") != "plane": continue center = info.get("area_center") if not isinstance(center, tuple) or len(center) != 3: continue z_value = float(center[2]) if best is None or z_value > best[0]: best = (z_value, face_id) if best is None: raise AssertionError("no planar Face was found") return best[1] def _first_planar_face_with_inner_boundary(model: StepModel) -> int: for face_id in range(len(model.faces)): info = model.face_info(face_id) if info.get("surface") == "plane" and int(info.get("inner_boundary_wires", 0) or 0) > 0: return face_id raise AssertionError("no planar Face with an inner boundary was found") def _first_surface_face(model: StepModel, surface: str) -> int: for face_id in range(len(model.faces)): if model.face_info(face_id).get("surface") == surface: return face_id raise AssertionError(f"no {surface} Face was found") def _assert_summary(info: dict[str, object], label: str, required_keys: set[str]) -> None: summary = str(info.get("recognition_summary") or "") candidate = str(info.get("recognition_candidate") or "") confidence = str(info.get("recognition_confidence") or "") risk = str(info.get("recognition_risk") or "") decision = str(info.get("recognition_decision") or "") evidence_keys = set(str(item) for item in tuple(info.get("recognition_evidence_keys") or ())) evidence = str(info.get("recognition_evidence") or "") score = int(info.get("recognition_score", -1)) _assert(summary, f"{label}: recognition_summary is missing") _assert(candidate, f"{label}: recognition_candidate is missing") _assert(confidence in {"unchecked", "none", "low", "medium", "high"}, f"{label}: bad confidence {confidence!r}") _assert(risk in {"low", "medium", "high", "blocked"}, f"{label}: bad risk {risk!r}") _assert(0 <= score <= 100, f"{label}: bad recognition_score {score!r}") _assert( decision in {"高可信候选", "可尝试候选", "需人工确认", "不建议自动修改", "已阻止"}, f"{label}: bad recognition_decision {decision!r}", ) _assert(required_keys <= evidence_keys, f"{label}: evidence keys missing {required_keys - evidence_keys}") _assert(evidence, f"{label}: recognition_evidence is missing") _assert(candidate in summary, f"{label}: summary should mention candidate {candidate!r}: {summary!r}") _assert(f"评分={score}" in summary, f"{label}: summary should mention score {score}: {summary!r}") _assert(decision in summary, f"{label}: summary should mention decision {decision!r}: {summary!r}") def _verify_planar_summary(root: Path) -> None: path = root / "box.step" _write_step(BRepPrimAPI_MakeBox(10.0, 8.0, 6.0).Shape(), path) model = StepModel.load(path) face_id = _top_planar_face(model) quick_info = model.quick_face_info(face_id) full_info = model.feature_info(face_id) _assert_summary(quick_info, "quick planar Face", {"surface", "boundary_edges"}) _assert_summary(full_info, "feature planar Face", {"surface", "boundary_edges", "first_level_topology"}) def _verify_hole_summary(root: Path) -> None: path = root / "through_hole.step" _write_through_hole_model(path) model = StepModel.load(path) face_id = _first_hole_face(model, blind=False) info = model.feature_info(face_id) _assert(info.get("feature_guess") == "hole/groove candidate", f"hole was not recognized: {info}") _assert_summary(info, "through-hole feature", {"surface", "material_votes", "first_level_topology"}) _assert(info.get("resize_status") == "ready", f"hole diameter resize should be ready: {info}") _assert(info.get("recognition_risk") != "blocked", f"ready hole candidate should not be globally blocked: {info}") _assert(info.get("recognition_decision") != "已阻止", f"ready hole candidate should not be marked blocked: {info}") _assert(not str(info.get("recognition_blockers") or ""), f"ready hole blockers should stay empty: {info}") ready_actions = str(info.get("recognition_ready_actions") or "") limited_actions = str(info.get("recognition_limited_actions") or "") _assert("孔/槽/圆柱直径" in ready_actions, f"hole ready actions should include diameter resize: {info}") _assert("盲孔/盲槽深度" in limited_actions, f"through-hole limited actions should include blind depth: {info}") limitations = str(info.get("recognition_limitations") or "") _assert(limitations, f"ready hole should still explain unsupported sub-capabilities: {info}") _assert("受限能力" in str(info.get("recognition_summary") or ""), f"hole summary should show limitations: {info}") _assert("可改：" in str(info.get("recognition_summary") or ""), f"hole summary should show ready actions: {info}") def _verify_holed_planar_summary(root: Path) -> None: path = root / "holed_plate.step" _write_through_hole_model(path) model = StepModel.load(path) face_id = _first_planar_face_with_inner_boundary(model) info = model.feature_info(face_id) _assert_summary(info, "holed planar Face", {"surface", "boundary_edges", "first_level_topology"}) _assert(info.get("local_face_deform_ready") is False, f"holed Face should block local deformation: {info}") _assert(info.get("recognition_risk") != "blocked", f"holed Face should keep push/pull available: {info}") _assert(info.get("recognition_decision") != "已阻止", f"holed Face should not be globally blocked: {info}") _assert(not str(info.get("recognition_blockers") or ""), f"holed Face blockers should stay empty: {info}") ready_actions = str(info.get("recognition_ready_actions") or "") limited_actions = str(info.get("recognition_limited_actions") or "") _assert("平面拉伸/切除" in ready_actions, f"holed Face should expose push/pull as ready: {info}") _assert( "局部重建尺寸/中心/偏移" in limited_actions, f"holed Face should expose local deformation as limited: {info}", ) def _verify_slot_summary(root: Path) -> None: path = root / "half_round_slot.step" _write_half_round_slot_model(path) model = StepModel.load(path) face_id = _first_slot_face(model) info = model.feature_info(face_id) _assert(info.get("slot_status") == "candidate", f"slot was not recognized: {info}") _assert_summary(info, "half-round slot feature", {"surface", "material_votes", "slot_geometry"}) def _verify_torus_summary(root: Path) -> None: path = root / "torus.step" _write_step(BRepPrimAPI_MakeTorus(12.0, 2.0).Shape(), path) model = StepModel.load(path) face_id = _first_surface_face(model, "torus") info = model.feature_info(face_id) _assert(info.get("feature_type") == "环面候选", f"torus was not recognized safely: {info}") _assert(info.get("feature_highlight_face_ids") == (face_id,), f"torus highlight should stay on source Face: {info}") _assert_summary(info, "torus feature", {"surface", "boundary_edges"}) def main() -> int: for key in ( "recognition_summary", "recognition_candidate", "recognition_confidence", "recognition_risk", "recognition_score", "recognition_decision", "recognition_evidence", "recognition_ready_actions", "recognition_limited_actions", "recognition_blockers", "recognition_limitations", ): _assert(key in INFO_LABELS, f"{key} should have a user-facing label") with tempfile.TemporaryDirectory(prefix="geom_param_recognition_summary_") as temp_dir: root = Path(temp_dir) _verify_planar_summary(root) _verify_holed_planar_summary(root) _verify_hole_summary(root) _verify_slot_summary(root) _verify_torus_summary(root) print("feature recognition summary ok") return 0 if __name__ == "__main__": raise SystemExit(main())