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18.7 kB
| """Bridge that executes the RELEASED Case 1 controller code verbatim (NEW CODE). | |
| The released ROS 2 node /sbel/Desktop/ros_ws/src/path_follower/path_follower/ | |
| path_follower.py and its MPC module mpc_wpts.py are imported unchanged from the | |
| image (SHA256 checked against pinned values). Only the rclpy executor layer is replaced (ros_stubs.py). | |
| ControlNode.state_callback, vel_callback, error_state and pub_callback run | |
| unmodified; the DriverInputs message passed to publish() is intercepted. | |
| Two non-numerical adaptations, both verified by parity tests: | |
| 1. keras_core.models.load_model is wrapped by a cache that (a) checks the | |
| SHA256 of the requested released checkpoint, (b) loads it from a | |
| byte-identical private copy (keras_core opens .keras files with mode | |
| 'r+b', which a non-root container user cannot do on the root-owned | |
| originals), and (c) returns the same model object for every new | |
| ControlNode so a fresh node per episode costs no reload. | |
| 2. model.predict is wrapped to force verbose=0 (silences the progress bar; | |
| no numerical effect -- checked bitwise in the parity test). | |
| Raw (pre-rate-limit) controller outputs are read from pub_callback's own | |
| local variables with a sys.settrace hook that only observes the pub_callback | |
| frame (no code is changed or re-implemented). | |
| """ | |
| import hashlib | |
| import importlib.util | |
| import os | |
| import shutil | |
| import sys | |
| import time | |
| import numpy as np | |
| from . import ros_stubs | |
| RELEASED_DIR = '/sbel/Desktop/ros_ws/src/path_follower/path_follower' | |
| RELEASED_SHA256 = { | |
| 'path_follower.py': '1df60ad0cc857d366c48d644ad5c01d05d6b93589b71617b4adf718c3cddf870', | |
| 'mpc_wpts.py': '68b2fac17a53799832715b4c7503d3bbe1762aee7432dbdc853985a8f70c35a8', | |
| } | |
| CHECKPOINT_SHA256 = { | |
| '/sbel/Desktop/ros_ws/src/nn_models_lib/single_speed_MC_IL_NN.keras': | |
| '4acd9d199d81bb981f5f6cd43c5a87ba2f994d886aaa50e2a6a8d2e9c0c2305f', | |
| '/sbel/Desktop/ros_ws/src/nn_models_lib/single_speed_MPC_IL_NN.keras': | |
| '65118a5c45d9018aef4a6258b1bca23dfe3dde37ff708c6bba61d4b16392bae0', | |
| } | |
| WAYPOINT_DIR = '/sbel/Desktop/waypoints_paths' | |
| # Controller copies shipped with the runner: path relative to runner/ and the | |
| # pinned SHA256 (checked before import). The copy differs from the released mpc_wpts.py only in the horizon N. | |
| RUNNER_ROOT = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) | |
| MPC_N5_FILE = os.path.join(RUNNER_ROOT, 'controllers', 'mpc_wpts_n5.py') | |
| CONTROLLER_COPY_FILES = (MPC_N5_FILE,) | |
| RELEASED_CONTROLLERS = ('mpc', 'nnmpc', 'pid', 'nnhd') | |
| OSQP_FAILURE_TEXT = 'OSQP did not solve the problem!' | |
| _MODULE = None | |
| _MODEL_CACHE = {} | |
| _OSQP_PIN = {'interval': 25, 'patched': False} | |
| # READ-ONLY OSQP diagnostics. Every | |
| # osqp.OSQP.solve() call made by released MPC code (or an MPC-based plug-in) appends one record here; the episode loop | |
| # drains the list after each controller tick and writes mpc_diag.csv.gz. Nothing is passed back into the solver. | |
| _OSQP_DIAG = {'records': []} | |
| OSQP_INFO_FIELDS = ('status', 'status_val', 'status_polish', 'iter', 'rho_updates', 'rho_estimate', 'obj_val', | |
| 'pri_res', 'dua_res', 'setup_time', 'solve_time', 'update_time', 'polish_time', 'run_time') | |
| OSQP_WALL_FIELDS = ('setup_time', 'solve_time', 'update_time', 'polish_time', 'run_time') # wall clock (seconds) | |
| def set_osqp_adaptive_rho_interval(n): | |
| """None = released behaviour (OSQP picks the interval from wall-clock time); int = pinned.""" | |
| _OSQP_PIN['interval'] = n | |
| def osqp_diag_take(): | |
| """Return and clear the OSQP solve records collected since the last call.""" | |
| recs = _OSQP_DIAG['records'] | |
| _OSQP_DIAG['records'] = [] | |
| return recs | |
| def _record_osqp_solve(prob, res): | |
| """Copy scalar fields of res.info and the problem size into a plain dict. Read-only: it only reads attributes of | |
| the returned results object, the Python-side setup record and OSQP.dimensions() (two C ints). It never calls | |
| OSQP._model._get_workspace(), which in osqp 0.6.5 wraps the solver's own C memory in numpy arrays flagged | |
| OWNDATA (src/extension/include/osqpworkspacepy.h) and is therefore unsafe to call on a live solver. | |
| Never raises (a diagnostic failure is recorded in 'diag_error' and cannot change an outcome).""" | |
| try: | |
| info = getattr(res, 'info', None) | |
| rec = {k: getattr(info, k, None) for k in OSQP_INFO_FIELDS} | |
| rec['adaptive_rho_interval_requested'] = getattr(prob, '_tr_adaptive_rho_interval', None) | |
| rec['setup_max_iter'] = getattr(prob, '_tr_max_iter', None) | |
| rec['setup_warm_start'] = getattr(prob, '_tr_warm_start', None) | |
| try: | |
| n, m = prob._model.dimensions() | |
| rec['qp_n'], rec['qp_m'] = int(n), int(m) | |
| except Exception: | |
| rec['qp_n'] = rec['qp_m'] = None | |
| rec['diag_error'] = None | |
| except Exception as e: # pragma: no cover - defensive | |
| rec = {'diag_error': f'{type(e).__name__}: {e}'} | |
| _OSQP_DIAG['records'].append(rec) | |
| def _patch_osqp(): | |
| """Wrap osqp.OSQP.setup so that, if pinned, adaptive_rho_interval=<n> is passed. The released call | |
| prob.setup(P, q, A, l, u, warm_start=True, max_iter=10000) is otherwise unchanged. | |
| Also wraps osqp.OSQP.solve READ-ONLY. The wrapper calls the original | |
| solve with the same arguments, records res.info (status, iterations, rho updates / estimate, wall timings) and the | |
| problem size, and returns the identical results object. The setup wrapper additionally stores the settings it | |
| passed (adaptive_rho_interval, max_iter, warm_start) as attributes of the Python OSQP object.""" | |
| import osqp | |
| if _OSQP_PIN['patched']: | |
| return | |
| original_setup = osqp.OSQP.setup | |
| original_solve = osqp.OSQP.solve | |
| def setup(self, *args, **kwargs): | |
| if _OSQP_PIN['interval'] is not None and 'adaptive_rho_interval' not in kwargs: | |
| kwargs['adaptive_rho_interval'] = _OSQP_PIN['interval'] | |
| self._tr_adaptive_rho_interval = kwargs.get('adaptive_rho_interval') # None = OSQP automatic (wall clock) | |
| self._tr_max_iter = kwargs.get('max_iter') | |
| self._tr_warm_start = kwargs.get('warm_start') | |
| return original_setup(self, *args, **kwargs) | |
| def solve(self, *args, **kwargs): | |
| res = original_solve(self, *args, **kwargs) | |
| _record_osqp_solve(self, res) | |
| return res | |
| setup._tr_original = original_setup | |
| solve._tr_original = original_solve | |
| osqp.OSQP.setup = setup | |
| osqp.OSQP.solve = solve | |
| _OSQP_PIN['patched'] = True | |
| def sha256_file(path): | |
| h = hashlib.sha256() | |
| with open(path, 'rb') as f: | |
| for chunk in iter(lambda: f.read(1 << 20), b''): | |
| h.update(chunk) | |
| return h.hexdigest() | |
| def load_released_module(cache_dir=None): | |
| """Import the released path_follower.py once per process and return it.""" | |
| global _MODULE | |
| if _MODULE is not None: | |
| return _MODULE | |
| for name, digest in RELEASED_SHA256.items(): | |
| got = sha256_file(os.path.join(RELEASED_DIR, name)) | |
| if got != digest: | |
| raise RuntimeError(f'released {name} hash mismatch: {got}') | |
| os.environ['KERAS_BACKEND'] = 'torch' | |
| ros_stubs.install() | |
| _patch_osqp() | |
| import keras_core.models | |
| cache_dir = cache_dir or os.path.join(os.environ.get('TMPDIR', '/tmp'), f'tr_c1_ckpt_{os.getpid()}') | |
| os.makedirs(cache_dir, exist_ok=True) | |
| original_load_model = keras_core.models.load_model | |
| def cached_load_model(filepath, *args, **kwargs): | |
| key = os.path.abspath(filepath) | |
| if key not in _MODEL_CACHE: | |
| expected = CHECKPOINT_SHA256.get(key) | |
| if expected is None: | |
| raise RuntimeError(f'unexpected checkpoint requested: {key}') | |
| got = sha256_file(key) | |
| if got != expected: | |
| raise RuntimeError(f'checkpoint hash mismatch {key}: {got}') | |
| copy = os.path.join(cache_dir, os.path.basename(key)) | |
| shutil.copyfile(key, copy) | |
| if sha256_file(copy) != expected: | |
| raise RuntimeError('checkpoint copy hash mismatch') | |
| model = original_load_model(copy, *args, **kwargs) | |
| original_predict = model.predict | |
| def predict_silent(x, *a, **k): | |
| k['verbose'] = 0 | |
| return original_predict(x, *a, **k) | |
| model._tr_original_predict = original_predict | |
| model.predict = predict_silent | |
| _MODEL_CACHE[key] = model | |
| return _MODEL_CACHE[key] | |
| keras_core.models.load_model = cached_load_model | |
| spec = importlib.util.spec_from_file_location('path_follower_released', | |
| os.path.join(RELEASED_DIR, 'path_follower.py')) | |
| module = importlib.util.module_from_spec(spec) | |
| sys.modules['path_follower_released'] = module | |
| spec.loader.exec_module(module) | |
| keras_core.models.load_model = original_load_model | |
| solver_file = module.mpc_wpts_solver.__code__.co_filename | |
| if os.path.realpath(solver_file) != os.path.realpath(os.path.join(RELEASED_DIR, 'mpc_wpts.py')): | |
| raise RuntimeError(f'mpc_wpts imported from unexpected file {solver_file}') | |
| module._tr_cached_load_model = cached_load_model | |
| _MODULE = module | |
| return module | |
| # --------------------------------------------------------------------------- | |
| # Message construction (exactly what ChROSBodyHandler publishes) | |
| # --------------------------------------------------------------------------- | |
| def make_messages(state, noise=(0.0, 0.0, 0.0)): | |
| """Build (PoseStamped, TwistStamped) from a physics-server state dict. | |
| ChROSBodyHandler.cpp:52-85 (image): position = chassis->GetPos() (COG), | |
| orientation.x/y/z/w = rot[0]/rot[1]/rot[2]/rot[3] (Chrono e0=w,e1,e2,e3), | |
| twist.linear = GetPos_dt() (absolute frame), twist.angular = GetWvel_loc(). | |
| Optional observation noise (dx, dy, dyaw) is applied to the position and | |
| as a rotation about the world z axis (q' = qz(dyaw) * q). | |
| """ | |
| from geometry_msgs.msg import PoseStamped, TwistStamped | |
| pose = PoseStamped() | |
| twist = TwistStamped() | |
| t = state['time'] | |
| sec = int(np.floor(t)) | |
| pose.header.stamp.sec = sec | |
| pose.header.stamp.nanosec = int(round((t - sec) * 1e9)) % 1000000000 | |
| twist.header.stamp = pose.header.stamp | |
| e0, e1, e2, e3 = (float(state[k]) for k in ('q_e0', 'q_e1', 'q_e2', 'q_e3')) | |
| dx, dy, dyaw = (float(v) for v in noise) | |
| if dyaw != 0.0: | |
| cw, sw = np.cos(0.5 * dyaw), np.sin(0.5 * dyaw) | |
| e0, e1, e2, e3 = (cw * e0 - sw * e3, cw * e1 - sw * e2, cw * e2 + sw * e1, cw * e3 + sw * e0) | |
| e0, e1, e2, e3 = float(e0), float(e1), float(e2), float(e3) | |
| pose.pose.position.x = float(state['cog_x']) + dx | |
| pose.pose.position.y = float(state['cog_y']) + dy | |
| pose.pose.position.z = float(state['cog_z']) | |
| pose.pose.orientation.x = e0 | |
| pose.pose.orientation.y = e1 | |
| pose.pose.orientation.z = e2 | |
| pose.pose.orientation.w = e3 | |
| twist.twist.linear.x = float(state['vel_x']) | |
| twist.twist.linear.y = float(state['vel_y']) | |
| twist.twist.linear.z = float(state['vel_z']) | |
| twist.twist.angular.x = float(state['wloc_x']) | |
| twist.twist.angular.y = float(state['wloc_y']) | |
| twist.twist.angular.z = float(state['wloc_z']) | |
| return pose, twist | |
| class _FrameCapture: | |
| """sys.settrace hook capturing the locals of one code object at return.""" | |
| def __init__(self, code): | |
| self.code = code | |
| self.locals = None | |
| def global_trace(self, frame, event, arg): | |
| if frame.f_code is self.code: | |
| return self.local_trace | |
| return None | |
| def local_trace(self, frame, event, arg): | |
| if event == 'return': | |
| self.locals = dict(frame.f_locals) | |
| return self.local_trace | |
| def _f(v): | |
| return None if v is None else float(v) | |
| class ReleasedController: | |
| """One of the four released controllers, run through the released node.""" | |
| kind = 'released' | |
| def __init__(self, name, module=None, capture_locals=True): | |
| if name not in RELEASED_CONTROLLERS: | |
| raise ValueError(f'unknown released controller {name}') | |
| self.name = name | |
| self.module = module or load_released_module() | |
| self.capture_locals = capture_locals | |
| self.node = None | |
| self._capture = _FrameCapture(self.module.ControlNode.pub_callback.__code__) | |
| def reset(self, reference): | |
| """Construct a FRESH ControlNode (released __init__) for a new episode. | |
| reference.released_stem is passed as the ref_path parameter, so for a | |
| released CSV the node loads it itself with np.loadtxt; a generated | |
| reference overrides node.ref_traj after construction. | |
| """ | |
| ros_stubs.Node.parameter_overrides = { | |
| 'controller': self.name, | |
| 'ref_path': reference.ref_path_parameter, | |
| 'exp_index': 1, | |
| } | |
| node = self.module.ControlNode() | |
| node.file.close() | |
| if reference.override_array is not None: | |
| node.ref_traj = np.array(reference.override_array, dtype=float, copy=True) | |
| self.node = node | |
| return node | |
| def observe(self, pose_msg, twist_msg): | |
| self.node.state_callback(pose_msg) | |
| self.node.vel_callback(twist_msg) | |
| def tick(self): | |
| node = self.node | |
| n_before = len(node._published) | |
| cap = self._capture | |
| cap.locals = None | |
| exc = None | |
| t0 = time.perf_counter() | |
| if self.capture_locals: | |
| sys.settrace(cap.global_trace) | |
| try: | |
| node.pub_callback() | |
| except Exception as e: # classified by the episode loop | |
| exc = e | |
| finally: | |
| if self.capture_locals: | |
| sys.settrace(None) | |
| wall = time.perf_counter() - t0 | |
| loc = cap.locals or {} | |
| published = node._published[n_before:] | |
| out = { | |
| 'published': len(published) > 0, | |
| 'n_published': len(published), | |
| 'compute_wall_s': wall, | |
| 'exception': exc, | |
| 'e': [float(v) for v in loc['e']] if 'e' in loc else None, | |
| 'e_track': [float(v) for v in loc['e_tracking']] if 'e_tracking' in loc else None, | |
| 'raw_throttle': _f(node.throttle) if 'e' in loc else None, | |
| 'raw_steering': _f(loc.get('steering')), | |
| 'rate_limited': (abs(float(loc['delta_steering'])) > 0.25) if 'delta_steering' in loc else None, | |
| 'ratelimited_steering': _f(node.steering), | |
| 'obs_x': float(node.x), 'obs_y': float(node.y), 'obs_theta': float(node.theta), 'obs_v': float(node.v), | |
| } | |
| if published: | |
| msg = published[-1] | |
| out['pub_steering'] = float(msg.steering) | |
| out['pub_throttle'] = float(msg.throttle) | |
| out['pub_braking'] = float(msg.braking) | |
| return out | |
| def controller_code_files(): | |
| """Files whose code counts as CONTROLLER code for the outcome classification: the released node and MPC module | |
| in the image, plus verbatim-derived controller copies shipped with the runner (runner/controllers/, e.g. the | |
| MPC-N5 variant).""" | |
| files = {os.path.realpath(os.path.join(RELEASED_DIR, n)) for n in RELEASED_SHA256} | |
| files |= {os.path.realpath(p) for p in CONTROLLER_COPY_FILES} | |
| return files | |
| def classify_controller_exception(exc): | |
| """Return (category, text). category in {'controller_solver_failure', 'controller_exception', 'infrastructure'}. | |
| Anchors are frames in controller code (released files, controller copies) or a plug-in frame that hands control | |
| to a released law (_PLUGIN_LAW_ANCHORS: plugin:wrapped_released and plugin:mpc_n5). Rules, deepest frame last: | |
| * OSQP 'did not solve' ValueError raised in controller code -> controller_solver_failure | |
| * no anchor on the stack -> infrastructure (runner / plug-in bug) | |
| * deepest frame in runner code (art_runner/), incl. the anchor itself -> infrastructure | |
| * a runner frame between the last anchor and the deepest frame that is not a transparent wrapper | |
| -> infrastructure | |
| * otherwise (deepest frame in keras / torch / osqp / numpy / scipy / other libraries or controller code) | |
| -> controller_exception | |
| For the four released controllers the anchors are exactly the released-file frames, so their classification is | |
| unchanged by the plug-in anchors.""" | |
| import traceback | |
| tb = traceback.extract_tb(exc.__traceback__) | |
| files = [os.path.realpath(fr.filename) for fr in tb] | |
| ctrl = controller_code_files() | |
| own = os.path.realpath(os.path.dirname(os.path.abspath(__file__))) | |
| text = ''.join(traceback.format_exception(type(exc), exc, exc.__traceback__))[-4000:] | |
| def is_runner(f): | |
| return f.startswith(own + os.sep) and f not in ctrl | |
| if isinstance(exc, ValueError) and str(exc) == OSQP_FAILURE_TEXT and files and files[-1] in ctrl: | |
| return 'controller_solver_failure', text | |
| anchors = [i for i, (f, fr) in enumerate(zip(files, tb)) | |
| if f in ctrl or (is_runner(f) and (os.path.basename(f), fr.name) in _PLUGIN_LAW_ANCHORS)] | |
| if anchors: | |
| if is_runner(files[-1]): | |
| return 'infrastructure', text # the exception was raised in runner code (stubs, wrappers, plug-in code) | |
| # The numerically transparent wrappers below sit between released code and keras/OSQP; an exception raised | |
| # INSIDE those libraries is not labelled infrastructure only because the wrapper frame is on the stack. | |
| tail = [(f, fr.name) for f, fr in zip(files[anchors[-1] + 1:], tb[anchors[-1] + 1:])] | |
| if any(is_runner(f) and (os.path.basename(f), n) not in _TRANSPARENT_WRAPPERS for f, n in tail): | |
| return 'infrastructure', text # bug in the runner's stubs/wrappers called by controller code | |
| # raised while executing controller code (incl. third-party libraries it calls) | |
| return 'controller_exception', text | |
| return 'infrastructure', text | |
| # Runner frames that only forward a call from controller code to keras_core / OSQP (see module docstring); | |
| # ('released.py', 'solve') = the read-only OSQP diagnostics wrapper. | |
| _TRANSPARENT_WRAPPERS = {('released.py', 'predict_silent'), ('released.py', 'setup'), ('released.py', 'solve')} | |
| # Plug-in frames that call a released controller law directly. They play the | |
| # role of the released pub_callback branch for plugin:wrapped_released (incl. the scaled NN-HD variants | |
| # and the scaled MPC / PID variants) and plugin:mpc_n5. | |
| _PLUGIN_LAW_ANCHORS = {('plugins.py', '_call_released_law'), ('plugins.py', '_call_mpc_n5_law')} | |