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https://huggingface.co/datasets/superhatk/structural-eval-benchmark/resolve/main/src/solver_bridge.py
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5.7 kB
| import json | |
| import os | |
| import tempfile | |
| import multiprocessing | |
| import traceback | |
| from wasmtime import Engine, Store, Module, Linker, WasiConfig, ExitTrap, Config | |
| # 定义一个独立的函数用于在子进程中运行 | |
| def _run_wasm_in_process(wasm_path, input_data, return_dict): | |
| """ | |
| 运行在独立子进程中的 WASM 执行逻辑。 | |
| 结果写入 return_dict['result'] 或 return_dict['error'] | |
| """ | |
| try: | |
| # 配置 WASM 引擎 (尝试降低优化等级以规避寄存器分配错误) | |
| config = Config() | |
| config.cranelift_opt_level = "none" # 关闭优化,牺牲速度换取稳定性 | |
| engine = Engine(config) | |
| linker = Linker(engine) | |
| linker.define_wasi() | |
| # 加载模块 | |
| module = Module.from_file(engine, wasm_path) | |
| store = Store(engine) | |
| input_bytes = json.dumps(input_data).encode("utf-8") | |
| # 使用临时文件处理 IO | |
| with tempfile.NamedTemporaryFile(mode='wb', delete=False) as f_in, \ | |
| tempfile.NamedTemporaryFile(mode='rb', delete=False) as f_out, \ | |
| tempfile.NamedTemporaryFile(mode='rb', delete=False) as f_err: | |
| # 记录文件名以便稍后清理 (注意:子进程内 unlink 可能有权限问题,最好由父进程或最后清理) | |
| # 但为了简单,我们尽量在 finally 清理 | |
| temp_files = [f_in.name, f_out.name, f_err.name] | |
| try: | |
| # 1. 写入输入 | |
| f_in.write(input_bytes) | |
| f_in.flush() | |
| f_in.close() | |
| # 2. 配置 WASI | |
| wasi = WasiConfig() | |
| wasi.stdin_file = f_in.name | |
| wasi.stdout_file = f_out.name | |
| wasi.stderr_file = f_err.name | |
| store.set_wasi(wasi) | |
| # 3. 实例化并运行 | |
| instance = linker.instantiate(store, module) | |
| start = instance.exports(store)["_start"] | |
| start(store) | |
| # 4. 读取结果 | |
| output_bytes = f_out.read() | |
| if not output_bytes: | |
| return_dict['error'] = "Empty Output from WASM" | |
| else: | |
| try: | |
| return_dict['result'] = json.loads(output_bytes) | |
| except json.JSONDecodeError: | |
| return_dict['error'] = "Invalid JSON Output from WASM" | |
| except ExitTrap as e: | |
| if e.code != 0: | |
| f_err.seek(0) | |
| log = f_err.read().decode('utf-8', errors='ignore') | |
| return_dict['error'] = f"WASM Crashed (Code {e.code}): {log}" | |
| else: | |
| # Exit 0 可能是正常的,尝试读取输出 | |
| f_out.seek(0) | |
| output_bytes = f_out.read() | |
| if output_bytes: | |
| try: | |
| return_dict['result'] = json.loads(output_bytes) | |
| except: | |
| return_dict['error'] = "Exit 0 but invalid JSON" | |
| else: | |
| return_dict['error'] = "Exit 0 with no output" | |
| except Exception as e: | |
| return_dict['error'] = f"Execution Error: {str(e)}" | |
| finally: | |
| # 清理文件 | |
| try: f_out.close() | |
| except: pass | |
| try: f_err.close() | |
| except: pass | |
| for f in temp_files: | |
| if os.path.exists(f): | |
| try: os.unlink(f) | |
| except: pass | |
| except Exception as e: | |
| return_dict['error'] = f"Process Init Error: {str(e)}\n{traceback.format_exc()}" | |
| class TrussSolver: | |
| def __init__(self, wasm_path="bin/framecalc.wasm"): | |
| if not os.path.exists(wasm_path): | |
| raise FileNotFoundError(f"WASM binary not found at: {wasm_path}") | |
| self.wasm_path = wasm_path | |
| def solve(self, input_data: dict, timeout=10): | |
| """ | |
| 通过子进程执行计算,确保主进程安全。 | |
| """ | |
| manager = multiprocessing.Manager() | |
| return_dict = manager.dict() | |
| # 启动子进程 | |
| p = multiprocessing.Process( | |
| target=_run_wasm_in_process, | |
| args=(self.wasm_path, input_data, return_dict) | |
| ) | |
| p.start() | |
| p.join(timeout=timeout) | |
| if p.is_alive(): | |
| p.terminate() | |
| p.join() | |
| return None, f"Timeout ({timeout}s) - Solver process killed" | |
| # 检查退出码 | |
| if p.exitcode != 0: | |
| # 如果退出码不为0,说明底层崩溃了 (例如 Rust Panic) | |
| error_msg = return_dict.get('error', f"Process Crashed with exit code {p.exitcode}") | |
| return None, error_msg | |
| # 正常退出,检查结果 | |
| if 'error' in return_dict: | |
| return None, return_dict['error'] | |
| if 'result' in return_dict: | |
| return self._clean_floats(return_dict['result']), None | |
| return None, "Unknown Error (No result returned)" | |
| def _clean_floats(self, data, threshold=1e-9): | |
| """清洗浮点数""" | |
| if isinstance(data, dict): | |
| return {k: self._clean_floats(v, threshold) for k, v in data.items()} | |
| elif isinstance(data, list): | |
| return [self._clean_floats(v, threshold) for v in data] | |
| elif isinstance(data, float): | |
| return 0.0 if abs(data) < threshold else data | |
| return data | |