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