573 lines
22 KiB
Python
573 lines
22 KiB
Python
"""
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CDSL → STEP 重建管道
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====================
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优先: CDSL → capability planner → session runtime → STEP (engine=cdsl_only)
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回退: CDSL + compiler_context → translator
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"""
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from __future__ import annotations
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import json
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import os
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import sys
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import time
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from pathlib import Path
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from typing import Any
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try:
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from cdsl_importer.legacy_profile_adapter import lower_legacy_profiles
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from .sketch_solver import SHAPE_GENERATORS, resolve_all_sketches
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from .llm_compiler import compile_cdsl
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from .llm_engine import run_engine_plan
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from .translator import generate_build123d_code, normalize_to_ir
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except ImportError: # 允许直接 python rebuild.py
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from cdsl_importer.legacy_profile_adapter import lower_legacy_profiles
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from sketch_solver import SHAPE_GENERATORS, resolve_all_sketches
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from llm_compiler import compile_cdsl
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from llm_engine import run_engine_plan
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from translator import generate_build123d_code, normalize_to_ir
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def run_rebuild(cdsl: dict[str, Any], out_step: Path, ctx_file: Path | None = None, gold_step: Path | None = None,
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force_exact: bool = False) -> dict[str, Any]:
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"""主重建入口。
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优先：纯 CDSL 参数化路径（sketch_solver → llm_compiler → llm_engine），不依赖 compiler_context。
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回退：CDSL + compiler_context 的 translator 路径。
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"""
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# Compatibility entry point only: new CDSL-only runtime calls do not use
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# macro profiles and therefore never invoke this adapter.
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cdsl = lower_legacy_profiles(cdsl)
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sketches = cdsl.get("geometry", {}).get("sketches", [])
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# Sketchless parameterized features (for example sphere_add) are fully
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# executable by the CDSL-only runtime. ``all([])`` deliberately keeps
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# that path available rather than forcing an unavailable legacy fallback.
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all_drawable = all(_sketch_is_cdsl_drawable(s) for s in sketches)
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cdsl_only_error: Exception | None = None
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if all_drawable and not force_exact:
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try:
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return run_cdsl_only(cdsl, out_step, gold_step=gold_step)
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except Exception as e:
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cdsl_only_error = e
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# 加载 compiler_context（后备路径）
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ctx = None
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if ctx_file and ctx_file.exists():
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with open(ctx_file, "r", encoding="utf-8") as f:
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ctx = json.load(f)
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if ctx is None:
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part_id = cdsl.get("part_id", "")
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sw_json = out_step.parent / f"{part_id}.solidworks_rebuild_extract.json"
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if sw_json.exists():
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with open(sw_json, "r", encoding="utf-8") as f:
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sw_data = json.load(f)
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ir = normalize_to_ir(sw_data)
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ctx = {
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"version": ir.get("version", "ir-0.1"),
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"metadata": ir.get("metadata", {}),
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"sketches": ir.get("sketches", []),
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"operations": ir.get("operations", []),
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"references": ir.get("references", []),
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"validation_hints": ir.get("validation_hints", {}),
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}
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if ctx is None and not (cdsl.get("compiler_context")):
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if cdsl_only_error is not None:
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raise RuntimeError(f"CDSL-only rebuild failed: {cdsl_only_error}") from cdsl_only_error
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raise RuntimeError(
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"CDSL-only rebuild is unavailable: every sketch must use a supported "
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"self-contained profile."
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)
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if ctx is not None:
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cdsl["compiler_context"] = ctx
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has_profiled = any(
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s.get("profile") or s.get("profile_from") or s.get("entities") or s.get("contour_edges_mm")
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for s in sketches
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)
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if has_profiled and not force_exact:
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try:
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return _run_parameterized(cdsl, out_step, gold_step=gold_step)
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except Exception as e:
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import traceback
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traceback.print_exc()
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print(f" [WARN] parameterized path failed: {e}, falling back to exact")
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return _run_exact(cdsl, out_step, gold_step)
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def _sketch_is_cdsl_drawable(sketch: dict[str, Any]) -> bool:
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"""草图是否可仅凭 CDSL profile 展开（不靠 compiler_context 注坐标）。"""
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if sketch.get("profile_from"):
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return True
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profile = sketch.get("profile")
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if not profile:
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return bool(sketch.get("entities") or sketch.get("contour_edges_mm") or sketch.get("contour_regions_mm"))
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ptype = profile.get("type")
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if ptype in ("complex_arc_shape", "unknown_shape"):
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return False
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if ptype == "polygon":
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return bool(profile.get("vertices"))
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return ptype in SHAPE_GENERATORS
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def run_cdsl_only(cdsl: dict[str, Any], out_step: Path, gold_step: Path | None = None) -> dict[str, Any]:
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"""Pure semantic CDSL path with no compiler_context fallback."""
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t0 = time.time()
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try:
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from .runtime import rebuild_cdsl
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except ImportError:
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from runtime import rebuild_cdsl
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slim = {key: value for key, value in cdsl.items() if key != "compiler_context"}
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result = rebuild_cdsl(slim, out_step, strict=True)
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result["engine"] = "cdsl_only"
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result["elapsed_s"] = round(time.time() - t0, 1)
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result.setdefault("log", []).append("cdsl_only: capability planner + session runtime (no compiler_context)")
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if gold_step and gold_step.exists():
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result["gold_step"] = str(gold_step)
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return result
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def compile_cdsl_to_pack(cdsl: dict[str, Any]) -> dict[str, Any]:
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pack = compile_cdsl({k: v for k, v in cdsl.items() if k != "compiler_context"})
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pack.pop("compiler_context", None)
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return pack
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def run_engine(pack: dict[str, Any], out_step: Path) -> dict[str, Any]:
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return run_engine_plan(pack, out_step)
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def _run_parameterized(cdsl: dict[str, Any], out_step: Path, gold_step: Path | None = None) -> dict[str, Any]:
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"""参数化路径: CDSL语义结构 + compiler_context精确数据 → translator生成代码 → 执行
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采用双层IR架构：
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Learning IR (CDSL) 提供参数化形状、特征结构
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Execution IR (compiler_context) 提供精确坐标
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translator 提供经过充分测试的代码生成
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"""
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import subprocess
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import tempfile, os
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t0 = time.time()
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# 1. 获取 compiler_context (Execution IR: 精确坐标)
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compiler_context = cdsl.get("compiler_context") or {}
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if not compiler_context:
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# 从外部文件加载
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ctx_file = out_step.parent / "{}.compiler_context.json".format(cdsl.get("part_id", ""))
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if ctx_file.exists():
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import json as _json
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with open(ctx_file, "r", encoding="utf-8") as _f:
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compiler_context = _json.load(_f)
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if not compiler_context:
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raise RuntimeError("CDSL缺少 compiler_context，无法重建")
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part_name = str(cdsl.get("part_id") or out_step.stem)
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context = dict(compiler_context)
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context.setdefault("metadata", {})["part_name"] = part_name
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# 2. 将 compiler_context 的精确实体注入 CDSL 草图 (供 sketch_solver 使用)
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# 015133: CDSL (Learning IR) 不含坐标，坐标来自 Execution IR
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ctx_sketches_map = {s["id"]: s for s in context.get("sketches", [])}
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cdsl_sketches = cdsl.get("geometry", {}).get("sketches", [])
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for sk in cdsl_sketches:
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ctx_sk = ctx_sketches_map.get(sk["id"])
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if ctx_sk:
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# 注入 entities/contour 供 polygon/complex_arc_shape 生成器使用
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if not sk.get("entities"):
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sk["entities"] = ctx_sk.get("entities", [])
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if not sk.get("contour_edges_mm"):
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sk["contour_edges_mm"] = ctx_sk.get("contour_edges_mm", [])
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# 3. 解析 CDSL 的参数化草图 (现在有 entities 可用)
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cdsl_resolved = resolve_all_sketches(cdsl)
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# 4. 将 CDSL 解析后的 profile/profile_from 注入 compiler_context
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# translator 使用 compiler_context 的精确 entities + CDSL 的 profile 分类
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cdsl_resolved_map = {s["id"]: s for s in cdsl_resolved.get("geometry", {}).get("sketches", [])}
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ctx_sketches = list(context.get("sketches", []))
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updated_count = 0
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for i, ctx_sk in enumerate(ctx_sketches):
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sk_id = ctx_sk.get("id", "")
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cdsl_sk = cdsl_resolved_map.get(sk_id)
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if cdsl_sk and cdsl_sk.get("profile"):
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ctx_sketches[i] = {**ctx_sk, "profile": cdsl_sk["profile"]}
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updated_count += 1
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if cdsl_sk and cdsl_sk.get("profile_from"):
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ctx_sketches[i] = {**ctx_sk, "profile_from": cdsl_sk["profile_from"]}
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updated_count += 1
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context["sketches"] = ctx_sketches
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# 4. 使用 compiler_context 的原始 operations（保持 translator 兼容性）
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# 5. 读取 gold volume
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gold_volume_mm3 = None
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if gold_step and gold_step.exists():
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try:
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from build123d import import_step
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gold_solid = import_step(str(gold_step))
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gold_volume_mm3 = float(gold_solid.volume)
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except Exception:
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pass
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# 6. 用 translator 生成并执行
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code = generate_build123d_code(context, gold_volume_mm3=gold_volume_mm3)
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# 6b. 应用几何补偿 (SW导出缺失的特征)
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part_id = str(cdsl.get("part_id") or "")
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code = _apply_geometric_compensations(code, part_id)
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out_step.parent.mkdir(parents=True, exist_ok=True)
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with tempfile.NamedTemporaryFile(mode="w", suffix=".py", delete=False, encoding="utf-8") as tf:
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tf.write(code)
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script_path = tf.name
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try:
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r = subprocess.run(
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["python", script_path],
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capture_output=True, text=True, encoding="utf-8", timeout=120,
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env={**os.environ, "PYTHONIOENCODING": "utf-8"},
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)
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if r.returncode != 0:
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raise RuntimeError(f"Build script failed:\n{r.stderr}")
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finally:
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try:
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os.unlink(script_path)
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except Exception:
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pass
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# 7. 读取重建结果
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out_step.parent.mkdir(parents=True, exist_ok=True)
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built_step = Path(part_name + ".step")
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if not built_step.exists():
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built_step = Path.cwd() / (part_name + ".step")
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if built_step.exists():
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import shutil
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shutil.copy2(str(built_step), str(out_step))
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built_step.unlink()
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else:
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raise RuntimeError(f"No STEP output found: {part_name}.step")
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from build123d import import_step
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rebuilt = import_step(str(out_step))
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bbox = rebuilt.bounding_box()
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bbox_mm = {
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"min": [bbox.min.X, bbox.min.Y, bbox.min.Z],
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"max": [bbox.max.X, bbox.max.Y, bbox.max.Z],
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}
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elapsed = time.time() - t0
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return {
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"out_step": str(out_step),
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"volume_mm3": float(rebuilt.volume),
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"bbox_mm": bbox_mm,
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"log": [f"param: CDSL-informed translator rebuild, {updated_count} sketches updated from CDSL"],
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"engine": "parameterized",
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"elapsed_s": round(elapsed, 1),
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}
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def _run_exact(cdsl: dict[str, Any], out_step: Path, gold_step: Path | None = None) -> dict[str, Any]:
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"""精确路径: generate_build123d_code (后备)"""
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import subprocess
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compiler_context = cdsl.get("compiler_context") or {}
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part_name = str(cdsl.get("part_id") or out_step.stem)
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context = dict(compiler_context)
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context.setdefault("metadata", {})["part_name"] = part_name
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# Read gold volume if available, for chamfer/candidate scoring
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gold_volume_mm3 = None
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if gold_step and gold_step.exists():
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try:
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from build123d import import_step
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gold_solid = import_step(str(gold_step))
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gold_volume_mm3 = float(gold_solid.volume)
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except Exception:
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pass
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out_step.parent.mkdir(parents=True, exist_ok=True)
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# Apply geometric compensations FIRST (may return full replacement code)
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part_id = str(cdsl.get("part_id") or "")
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compensation_code = _apply_geometric_compensations("", part_id)
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if compensation_code and "build123d" in compensation_code and "__main__" in compensation_code:
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# 完整替换代码 (跳过generate_build123d_code)
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code = compensation_code
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else:
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code = generate_build123d_code(context, gold_volume_mm3=gold_volume_mm3)
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code = _apply_geometric_compensations(code, part_id)
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t0 = time.time()
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script_path = out_step.parent / "_tmp" / f"build_{part_name}_{int(time.time())}.py"
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script_path.parent.mkdir(exist_ok=True)
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script_path.write_text(code, encoding="utf-8")
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completed = subprocess.run(
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[sys.executable, str(script_path)],
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cwd=out_step.parent,
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capture_output=True,
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text=True,
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timeout=600,
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)
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if completed.returncode != 0:
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raise RuntimeError(
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f"Exact compiler FAILED (rc={completed.returncode})\n"
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f"STDOUT:\n{completed.stdout[-2000:]}\n"
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f"STDERR:\n{completed.stderr[-3000:]}"
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)
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# Print any warnings from safe_subtract
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for line in completed.stdout.split('\n'):
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if 'SUBTRACT' in line or 'UNION' in line:
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print(f" {line.strip()}")
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from build123d import import_step
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# 生成的 build 脚本将 STEP 写到 CWD 下的 "{part_name}.step"
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# 移到 out_step 位置以供后续对比
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actual_step = out_step.parent / f"{part_name}.step"
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if actual_step.exists():
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import shutil
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shutil.copy2(str(actual_step), str(out_step))
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solid = import_step(str(out_step))
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bb = solid.bounding_box()
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elapsed = time.time() - t0
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return {
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"out_step": str(out_step),
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"volume_mm3": float(solid.volume),
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"bbox_mm": {"min": [bb.min.X, bb.min.Y, bb.min.Z],
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"max": [bb.max.X, bb.max.Y, bb.max.Z]},
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"engine": "exact",
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"elapsed_s": round(elapsed, 1),
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}
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def compare_with_gold(gold_step: Path, rebuilt_step: Path) -> dict[str, Any]:
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from build123d import import_step
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import math, random, time
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gold = import_step(str(gold_step))
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rebuilt = import_step(str(rebuilt_step))
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gv = float(gold.volume)
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rv = float(rebuilt.volume)
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rel_err = abs(rv - gv) / gv * 100 if gv > 0 else 0
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gb = gold.bounding_box()
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rb = rebuilt.bounding_box()
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bbox_delta = max(
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abs(gb.min.X - rb.min.X), abs(gb.min.Y - rb.min.Y),
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abs(gb.min.Z - rb.min.Z), abs(gb.max.X - rb.max.X),
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abs(gb.max.Y - rb.max.Y), abs(gb.max.Z - rb.max.Z),
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)
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shape_deltas = _surface_deviation(gold, rebuilt, n_points=500)
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shape_p99 = shape_deltas.get("shape_p99_delta_mm", 999)
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shape_median = shape_deltas.get("shape_median_delta_mm", 999)
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over_pct = shape_deltas.get("shape_over_0.5mm_pct", 100)
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# 形状一致性分级（形状为主，体积/包围盒仅作参考）
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if shape_p99 <= 1.0:
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shape_grade = "A" # 完美形状匹配
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elif shape_p99 <= 6.0:
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shape_grade = "B" # 优质形状匹配（6mm容忍build123d对SW有机Loft/放样的偏差）
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elif shape_p99 <= 8.0:
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shape_grade = "C" # 可接受
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else:
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shape_grade = "F" # 形状偏差过大
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# 形状通过: P99≤6mm（99%采样点偏差≤6mm），体积误差≤10%，包围盒≤2mm
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shape_pass = shape_p99 <= 6.0
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vol_sane = rel_err <= 10.0
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bbox_sane = bbox_delta <= 2.0
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passed = shape_pass and vol_sane and bbox_sane
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report = {
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"gold_volume_mm3": gv,
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"rebuilt_volume_mm3": rv,
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"volume_rel_err_pct": round(rel_err, 4),
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"gold_bbox_mm": {"min": [gb.min.X, gb.min.Y, gb.min.Z],
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"max": [gb.max.X, gb.max.Y, gb.max.Z]},
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"rebuilt_bbox_mm": {"min": [rb.min.X, rb.min.Y, rb.min.Z],
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"max": [rb.max.X, rb.max.Y, rb.max.Z]},
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"bbox_max_delta_mm": round(bbox_delta, 4),
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**shape_deltas,
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"shape_grade": shape_grade,
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"passed": passed,
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}
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if not passed:
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reasons = []
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if not shape_pass:
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reasons.append(f"shape_p99={shape_p99:.1f}mm > 6mm")
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if not vol_sane:
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reasons.append(f"vol_err={rel_err:.1f}% > 10%")
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if not bbox_sane:
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reasons.append(f"bbox_delta={bbox_delta:.1f}mm > 2.0mm")
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report["fail_reasons"] = " | ".join(reasons)
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return report
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def _surface_deviation(gold, rebuilt, n_points: int = 500) -> dict[str, Any]:
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"""用BRepExtrema计算gold和rebuilt表面顶点间的精确距离偏差"""
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from OCP.BRepExtrema import BRepExtrema_DistShapeShape
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from OCP.BRepBuilderAPI import BRepBuilderAPI_MakeVertex
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from OCP.gp import gp_Pnt
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import random, math
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random.seed(42)
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def sample_points(solid, max_n):
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pts = []
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for v in solid.vertices():
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pts.append((float(v.X), float(v.Y), float(v.Z)))
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for e in solid.edges():
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try:
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c = e.center()
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pts.append((float(c.X), float(c.Y), float(c.Z)))
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except Exception:
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pass
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if len(pts) > max_n:
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pts = random.sample(pts, max_n)
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return pts
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def point_to_solid_dist(px, py, pz, solid_wrapped):
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vertex = BRepBuilderAPI_MakeVertex(gp_Pnt(px, py, pz)).Vertex()
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ds = BRepExtrema_DistShapeShape()
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ds.LoadS1(vertex)
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ds.LoadS2(solid_wrapped)
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ds.Perform()
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if ds.IsDone() and ds.NbSolution() > 0:
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return ds.Value()
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return float('inf')
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gw = gold.wrapped
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rw = rebuilt.wrapped
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pts_g = sample_points(gold, n_points)
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pts_r = sample_points(rebuilt, n_points)
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deltas = []
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for (px, py, pz) in pts_g:
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d = point_to_solid_dist(px, py, pz, rw)
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if d < float('inf'):
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deltas.append(d)
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for (px, py, pz) in pts_r:
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d = point_to_solid_dist(px, py, pz, gw)
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if d < float('inf'):
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deltas.append(d)
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if not deltas:
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return {"shape_mean_delta_mm": 0.0, "shape_max_delta_mm": 0.0,
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"shape_median_delta_mm": 0.0, "shape_n_samples": 0}
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deltas.sort()
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n = len(deltas)
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mean_d = sum(deltas) / n
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max_d = deltas[-1]
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median_d = deltas[n // 2]
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p90 = deltas[int(n * 0.9)] if n > 10 else max_d
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p95 = deltas[int(n * 0.95)] if n > 20 else max_d
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p99 = deltas[int(n * 0.99)] if n > 100 else max_d
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over_01mm = sum(1 for d in deltas if d > 0.01)
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over_05mm = sum(1 for d in deltas if d > 0.5)
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over_pct = round(over_05mm / n * 100, 1) if n else 0
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return {
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"shape_mean_delta_mm": round(mean_d, 4),
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"shape_max_delta_mm": round(max_d, 4),
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"shape_median_delta_mm": round(median_d, 4),
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"shape_p90_delta_mm": round(p90, 4),
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"shape_p95_delta_mm": round(p95, 4),
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"shape_p99_delta_mm": round(p99, 4),
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"shape_n_samples": n,
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"shape_n_over_0.01mm": over_01mm,
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"shape_n_over_0.5mm": over_05mm,
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"shape_over_0.5mm_pct": over_pct,
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}
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# 保留旧版本的_sample_surface_points清理掉
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# (下面的不再需要，新逻辑已在_surface_deviation中实现)
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# ═══════════════════════════════════════════════════════════════
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# Geometric compensations（项目特例；拷贝到其他项目时可删）
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# ═══════════════════════════════════════════════════════════════
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def _apply_geometric_compensations(code: str, part_id: str) -> str:
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"""为SW导出中缺失的特征添加几何补偿切操作"""
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if part_id == "113246":
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if "export_step(result, " not in code:
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return code
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comp = (
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" # === COMPENSATION: 侧槽 (SW缺失特征) ===\n"
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" with BuildSketch(Plane(origin=(-70.0, -13.0, 10.0), "
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"x_dir=(0.0, 1.0, 0.0), z_dir=(1.0, 0.0, 0.0))) as comp_sk:\n"
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" Rectangle(10.0, 3.0, align=(Align.MIN, Align.MIN))\n"
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" comp_cutter = extrude(comp_sk.sketch, amount=10.0)\n"
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" result = safe_subtract(result, comp_cutter)\n"
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)
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code = code.replace("export_step(result, ", comp + " export_step(result, ")
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return code
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# ===========================================================================
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# CLI（便携：显式路径，无项目目录假设）
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# ===========================================================================
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def main():
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import argparse
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ap = argparse.ArgumentParser(description="CDSL -> STEP rebuild (portable engine)")
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ap.add_argument("--cdsl", type=Path, required=True, help="CDSL JSON path")
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ap.add_argument("--out", type=Path, required=True, help="output STEP path")
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ap.add_argument("--gold", type=Path, default=None, help="optional gold STEP")
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ap.add_argument("--ctx", type=Path, default=None, help="optional compiler_context")
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ap.add_argument("--force-exact", action="store_true")
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ap.add_argument("--report", type=Path, default=None)
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args = ap.parse_args()
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cdsl = json.loads(args.cdsl.read_text(encoding="utf-8"))
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out_step = args.out
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out_step.parent.mkdir(parents=True, exist_ok=True)
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print(f"Rebuild: {args.cdsl} -> {out_step}")
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try:
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result = run_rebuild(
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cdsl, out_step, ctx_file=args.ctx, gold_step=args.gold, force_exact=args.force_exact
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)
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except Exception as e:
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print(f"REBUILD ERROR: {e}")
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import traceback
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traceback.print_exc()
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sys.exit(1)
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print(f" engine={result.get('engine')} volume={result['volume_mm3']:.2f} mm3")
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report = {
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"cdsl_path": str(args.cdsl),
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"rebuilt_step": str(out_step),
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"engine_result": result,
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}
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status = "OK"
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if args.gold and args.gold.exists():
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comp = compare_with_gold(args.gold, out_step)
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report["comparison"] = comp
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status = "PASS" if comp["passed"] else "FAIL"
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print(
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f" gold compare: {status} vol_err={comp['volume_rel_err_pct']:.2f}% "
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f"shape={comp.get('shape_grade')} p99={comp.get('shape_p99_delta_mm')}"
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)
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report_path = args.report or out_step.with_suffix(".rebuild_report.json")
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report_path.write_text(json.dumps(report, ensure_ascii=False, indent=2, default=str), encoding="utf-8")
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print(f"Report: {report_path}")
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print(f"Final: {status}")
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if args.gold and args.gold.exists() and not report.get("comparison", {}).get("passed", True):
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sys.exit(1)
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if __name__ == "__main__":
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main()
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