Dry-Run仿真压力测试全流程

Dry-Run仿真压力测试全流程

发布时间：2026/8/2 5:40:15
Dry-Run仿真压力测试全流程 #!/usr/bin/env python3 # -*- coding: utf-8 -*- AFT归藏层·一体化压力测试启动脚本 时序E链路收敛 → 基线采集 → 梯度升压 → 极限混沌 运行模式Dry-Run仿真模式内置mock无需真实大模型 依赖所有模块契约同源路径统一 import time import json import logging from pathlib import Path from dataclasses import asdict from typing import Optional, Dict, Any import sys sys.path.append(/AFT/BranchGamma/) import torch import numpy as np # 核心模块导入 from Analytics.adaptive_tuner import AdaptiveTuner, AdaptiveParams from StressTest.disturbance_generator import DisturbanceGenerator, DisturbanceLevel from TestSuite.hri_nip_dryrun_sandbox import diagnose_heartbeat from Logging.nip_logger import NIPLogger, create_nip_event, get_nip_logger from Analytics.hri_trajectory_metrics import attach_state_label, calculate_trajectory_metrics # ------------------------------- # 全局常量配置 # ------------------------------- OBS_TAG OBS-γ-001 CONVERGENCE_TIMEOUT 500 # 最大收敛等待步数 BASELINE_STEPS 200 # 基线采集步数 GRADIENT_STEPS 500 # 梯度升压总步数 CHAOS_STEPS 300 # 极限混沌步数 METRICS_WRITE_INTERVAL 10 # 每10步更新一次健康指标文件 # 正式环境NIP实现独立于沙盒测试实例防止状态污染 class NucleationInjectionProtocol: def __init__(self): self.inject_count 0 self.cooldown_counter 0 from Analytics.adaptive_tuner import AdaptiveParams self.cfg AdaptiveParams() def reset_counters(self): self.inject_count 0 self.cooldown_counter 0 def step(self, heartbeat_state, hidden_state): from TestSuite.hri_nip_dryrun_sandbox import HeartbeatState if self.cooldown_counter 0: self.cooldown_counter - 1 return hidden_state, False if heartbeat_state ! HeartbeatState.CRITICAL_HOVERING: self.reset_counters() return hidden_state, False if self.inject_count self.cfg.max_inject_freq: self.cooldown_counter self.cfg.inject_cooldown_steps return hidden_state, False strength self.cfg.nucleus_strength * (self.cfg.cooling_decay ** self.inject_count) noise torch.randn_like(hidden_state) * strength hidden_state hidden_state noise self.inject_count 1 return hidden_state, True class PressureTestOrchestrator: def __init__(self): self.tuner AdaptiveTuner() self.generator DisturbanceGenerator() self.logger get_nip_logger() self.nip NucleationInjectionProtocol() # 正式NIP实例 self.phase INIT self.global_step 0 self.converged False self.baseline_metrics {} logging.basicConfig(levellogging.INFO, format%(asctime)s | %(levelname)s | %(message)s) self.log logging.getLogger(PressureTestOrchestrator) def _write_simulated_metrics(self): 仿真钩子周期性生成轨迹指标供给AdaptiveTuner读取 traj_path Path(/AFT/BranchGamma/Logs/hri_trajectory.parquet) if not traj_path.exists(): return import pandas as pd df pd.read_parquet(traj_path) df_labeled attach_state_label(df) metrics calculate_trajectory_metrics(df_labeled) metric_file Path(/AFT/BranchGamma/Logs/hri_health_metrics.json) with open(metric_file, w, encodingutf-8) as f: json.dump(metrics, ensure_asciiFalse, fpf, indent2) # # 阶段0E链路收敛验证 # def phase_convergence(self) - bool: self.log.info( 阶段0E链路呼吸收敛启动Dry-run仿真) steps 0 while steps CONVERGENCE_TIMEOUT: # 先模拟产生指标文件 self._write_simulated_metrics() result self.tuner.step() self.global_step 1 steps 1 # 将调优后的参数同步至NIP self.nip.cfg.nucleus_strength result[params][nucleus_strength] self.nip.cfg.cooling_decay result[params][cooling_decay] if result.get(converged, False): self.converged True self.log.info(f✅ 参数收敛达成消耗步数 {steps}) self.log.info(f晶种强度{result[params][nucleus_strength]:.4f},衰减系数{result[params][cooling_decay]:.4f}) return True if steps % 20 0: self.log.info(f收敛迭代中 {steps}/{CONVERGENCE_TIMEOUT}) self.log.error(❌ 收敛超时请核查自适应调优逻辑) return False # # 阶段1稳态基线采集无外部扰动 # def phase_baseline(self): self.log.info( 阶段1稳态基线采集关闭外部扰动) self.generator.active_config None for i in range(BASELINE_STEPS): self._simulate_step(disturbance_appliedFalse) if i % 50 0: self.log.info(f基线采集进度 {i}/{BASELINE_STEPS}) self._write_simulated_metrics() self.baseline_metrics self.tuner._load_metrics() self.log.info(✅ 基线采集完成) self.log.info(f悬停平均时长: {self.baseline_metrics.get(hover_interval_mean,0):.3f}) self.log.info(f窒息事件频率: {self.baseline_metrics.get(suffocation_frequency,0):.3f}) self.log.info(f轨道偏转曲率: {self.baseline_metrics.get(avg_deflection_curvature,0):.3f}) # # 阶段2梯度升压 L1→L2→L3 # def phase_gradient(self): self.log.info( 阶段2梯度升压测试启动) stage_configs [ (DisturbanceLevel.L1_WEAK, 150, L1-弱扰动), (DisturbanceLevel.L2_MODERATE, 200, L2-中等扰动), (DisturbanceLevel.L3_STRONG, 150, L3-强扰动) ] for level, duration, name in stage_configs: self.log.info(f⬆ 切换扰动等级{name}) self.generator.set_disturbance_level(level) for i in range(duration): self._simulate_step(disturbance_appliedTrue) if i % 50 0: self._write_simulated_metrics() met self.tuner._load_metrics() self.log.info(f{name} | step{i} | 悬停{met.get(hover_interval_mean,0):.3f} |窒息{met.get(suffocation_frequency,0):.3f}) self.generator.export_disturbance_log() self.log.info(✅ 梯度升压全部完成) # # 阶段3极限混沌脉冲 L4 # def phase_chaos(self): self.log.info(️ 阶段3极限混沌压力测试 L4_CHAOTIC_PULSE) self.generator.set_disturbance_level(DisturbanceLevel.L4_CHAOTIC_PULSE) suffocation_window [] for i in range(CHAOS_STEPS): self._simulate_step(disturbance_appliedTrue) if i % 20 0: self._write_simulated_metrics() met self.tuner._load_metrics() sf met.get(suffocation_frequency, 0) suffocation_window.append(sf) self.log.info(f混沌时序{i} |窒息频次{sf:.3f} |平均悬停{met.get(hover_interval_mean,0):.3f}) # 红线预警 if len(suffocation_window) 5 and all(x0.30 for x in suffocation_window[-5:]): self.log.error( 连续多窗口窒息超标触发应急保护机制) self._emergency_reset() if met.get(avg_deflection_curvature,0) -0.20: self.log.warning(⚠️ 偏转曲率显著负值晶种扰动方向存在偏差) self.generator.export_disturbance_log() self._write_simulated_metrics() final_met self.tuner._load_metrics() self.log.info( 极限混沌测试结束) self.log.info(f最终窒息频次 {final_met.get(suffocation_frequency,0):.3f}) self.log.info(f最终偏转曲率 {final_met.get(avg_deflection_curvature,0):.3f}) # # 单步仿真主循环 # def _simulate_step(self, disturbance_applied: bool): # 1. 模拟模型前向生成隐藏表征 hidden_tensor torch.randn((1,768), dtypetorch.float32) # 2. 叠加外部扰动 if disturbance_applied and self.generator.active_config is not None: noise, apply_flag self.generator.generate_disturbance(hidden_tensor.shape) if apply_flag: hidden_tensor hidden_tensor noise # 3. HRI探针模拟加入时序漂移自然生成四类心跳状态 base_C 0.62 0.12 * np.sin(self.global_step / 32) base_S 0.32 0.11 * np.cos(self.global_step / 40) base_N 0.18 0.09 * np.sin(self.global_step / 24) probes { C_loc: np.clip(base_C np.random.randn()*0.025, 0, 1), S_dot_global: np.clip(base_S np.random.randn()*0.025, 0, 0.5), nabla_Phi: np.clip(base_N np.random.randn()*0.02, 0, 0.35) } # 4. 心跳状态判定 heartbeat_state diagnose_heartbeat(probes[C_loc], probes[S_dot_global], probes[nabla_Phi]) # 5. NIP成核干预决策 hidden_tensor, injected self.nip.step(heartbeat_state, hidden_tensor) hidden_norm float(torch.norm(hidden_tensor).cpu().item()) # 6. 日志持久化 if injected: event create_nip_event( stepself.global_step, heartbeatheartbeat_state, probesprobes, nip_action{ injected: True, strength: self.nip.cfg.nucleus_strength, inject_count: self.nip.inject_count, cooldown_remaining: self.nip.cooldown_counter }, hidden_normhidden_norm, obs_tagOBS_TAG ) self.logger.log_event(event) self.logger.log_state_vector( stepself.global_step, probesprobes, inject_flag1 if injected else 0, hidden_normhidden_norm ) # 周期刷新指标文件供给调优器 if self.global_step % METRICS_WRITE_INTERVAL 0: self._write_simulated_metrics() self.global_step 1 def _emergency_reset(self): 系统应急保护保守化NIP参数 self.log.warning( 执行全局应急重置) self.nip.reset_counters() self.tuner.params.nucleus_strength max(0.04, self.tuner.params.nucleus_strength * 0.80) self.tuner.params.cooling_decay min(0.92, self.tuner.params.cooling_decay * 1.05) self.tuner._save_params() def _generate_final_report(self): report_path Path(/AFT/BranchGamma/Logs/pressure_test_report.json) final_metrics self.tuner._load_metrics() report_data { test_id: fAFT-PT-SIM-{int(time.time())}, simulation_mode: True, converged: self.converged, baseline_metrics: self.baseline_metrics, final_metrics: final_metrics, total_global_steps: self.global_step } with open(report_path, w, encodingutf-8) as f: json.dump(report_data, ensure_asciiFalse, indent2, fpf) self.log.info(*60) self.log.info( Dry-run仿真压力测试全部完成) self.log.info(f总执行步数{self.global_step}) self.log.info(f参数收敛状态{self.converged}) self.log.info(f完整测试报告落盘路径{str(report_path)}) self.log.info(轨迹文件路径/AFT/BranchGamma/Logs/hri_trajectory.parquet) self.log.info(NIP事件日志路径/AFT/BranchGamma/Logs/nip_events.jsonl) def run(self): self.log.info( AFT归藏层一体化压力测试【Dry-Run仿真模式】启动) if not self.phase_convergence(): self.log.error(阶段0收敛失败终止测试流程) return self.phase_baseline() self.phase_gradient() self.phase_chaos() self._generate_final_report() if __name__ __main__: orchestrator PressureTestOrchestrator() orchestrator.run()