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