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import json |
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import os |
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import tempfile |
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import multiprocessing |
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import traceback |
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from wasmtime import Engine, Store, Module, Linker, WasiConfig, ExitTrap, Config |
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def _run_wasm_in_process(wasm_path, input_data, return_dict): |
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""" |
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运行在独立子进程中的 WASM 执行逻辑。 |
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结果写入 return_dict['result'] 或 return_dict['error'] |
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""" |
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try: |
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config = Config() |
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config.cranelift_opt_level = "none" |
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engine = Engine(config) |
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linker = Linker(engine) |
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linker.define_wasi() |
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module = Module.from_file(engine, wasm_path) |
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store = Store(engine) |
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input_bytes = json.dumps(input_data).encode("utf-8") |
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with tempfile.NamedTemporaryFile(mode='wb', delete=False) as f_in, \ |
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tempfile.NamedTemporaryFile(mode='rb', delete=False) as f_out, \ |
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tempfile.NamedTemporaryFile(mode='rb', delete=False) as f_err: |
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temp_files = [f_in.name, f_out.name, f_err.name] |
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try: |
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f_in.write(input_bytes) |
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f_in.flush() |
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f_in.close() |
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wasi = WasiConfig() |
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wasi.stdin_file = f_in.name |
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wasi.stdout_file = f_out.name |
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wasi.stderr_file = f_err.name |
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store.set_wasi(wasi) |
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instance = linker.instantiate(store, module) |
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start = instance.exports(store)["_start"] |
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start(store) |
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output_bytes = f_out.read() |
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if not output_bytes: |
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return_dict['error'] = "Empty Output from WASM" |
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else: |
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try: |
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return_dict['result'] = json.loads(output_bytes) |
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except json.JSONDecodeError: |
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return_dict['error'] = "Invalid JSON Output from WASM" |
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except ExitTrap as e: |
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if e.code != 0: |
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f_err.seek(0) |
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log = f_err.read().decode('utf-8', errors='ignore') |
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return_dict['error'] = f"WASM Crashed (Code {e.code}): {log}" |
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else: |
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f_out.seek(0) |
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output_bytes = f_out.read() |
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if output_bytes: |
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try: |
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return_dict['result'] = json.loads(output_bytes) |
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except: |
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return_dict['error'] = "Exit 0 but invalid JSON" |
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else: |
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return_dict['error'] = "Exit 0 with no output" |
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except Exception as e: |
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return_dict['error'] = f"Execution Error: {str(e)}" |
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finally: |
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try: f_out.close() |
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except: pass |
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try: f_err.close() |
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except: pass |
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for f in temp_files: |
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if os.path.exists(f): |
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try: os.unlink(f) |
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except: pass |
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except Exception as e: |
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return_dict['error'] = f"Process Init Error: {str(e)}\n{traceback.format_exc()}" |
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class TrussSolver: |
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def __init__(self, wasm_path="bin/framecalc.wasm"): |
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if not os.path.exists(wasm_path): |
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raise FileNotFoundError(f"WASM binary not found at: {wasm_path}") |
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self.wasm_path = wasm_path |
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def solve(self, input_data: dict, timeout=10): |
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""" |
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通过子进程执行计算,确保主进程安全。 |
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""" |
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manager = multiprocessing.Manager() |
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return_dict = manager.dict() |
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p = multiprocessing.Process( |
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target=_run_wasm_in_process, |
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args=(self.wasm_path, input_data, return_dict) |
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) |
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p.start() |
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p.join(timeout=timeout) |
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if p.is_alive(): |
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p.terminate() |
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p.join() |
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return None, f"Timeout ({timeout}s) - Solver process killed" |
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if p.exitcode != 0: |
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error_msg = return_dict.get('error', f"Process Crashed with exit code {p.exitcode}") |
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return None, error_msg |
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if 'error' in return_dict: |
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return None, return_dict['error'] |
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if 'result' in return_dict: |
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return self._clean_floats(return_dict['result']), None |
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return None, "Unknown Error (No result returned)" |
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def _clean_floats(self, data, threshold=1e-9): |
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"""清洗浮点数""" |
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if isinstance(data, dict): |
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return {k: self._clean_floats(v, threshold) for k, v in data.items()} |
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elif isinstance(data, list): |
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return [self._clean_floats(v, threshold) for v in data] |
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elif isinstance(data, float): |
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return 0.0 if abs(data) < threshold else data |
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return data |
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