import json import pathlib import statistics import time import urllib.request from websockets.sync.client import connect token = pathlib.Path("/run/secrets/api-token").read_text().strip() headers = {"Authorization": "Bearer " + token} started = time.time(); deadline = started + 600 frame_ids = []; latencies = []; failures = []; sessions = set(); health_samples = [] while time.time() < deadline: try: with connect("ws://127.0.0.1:18120/v1/poses", additional_headers=headers, open_timeout=10) as ws: while time.time() < deadline: message = json.loads(ws.recv(timeout=10)) frame_ids.append(message["frame_id"]); sessions.add(message["session_id"]) latencies.append(message["timing"]["source_to_sent_ms"]) if len(frame_ids) % 100 == 0: req = urllib.request.Request("http://127.0.0.1:18120/v1/health", headers=headers) health_samples.append(json.load(urllib.request.urlopen(req, timeout=5))) except Exception as exc: failures.append(f"{type(exc).__name__}: {str(exc)[:120]}"); time.sleep(1) def pct(values, p): values = sorted(values); return values[min(len(values)-1, max(0, int(len(values)*p)-1))] if values else None report = {"duration_seconds": round(time.time()-started, 3), "messages": len(frame_ids), "first_frame_id": frame_ids[0] if frame_ids else None, "last_frame_id": frame_ids[-1] if frame_ids else None, "strictly_increasing": all(b > a for a, b in zip(frame_ids, frame_ids[1:])), "session_ids": sorted(sessions), "ws_failures": failures, "source_to_sent_ms": {"p50": pct(latencies,.50), "p95": pct(latencies,.95), "p99": pct(latencies,.99)}, "health_samples": len(health_samples), "all_ready": all(x["ready"] for x in health_samples), "max_gpu_memory_used_mb": max((x["gpu"]["memory_used_mb"] for x in health_samples), default=None), "max_gpu_temperature_c": max((x["gpu"]["temperature_c"] for x in health_samples), default=None), "frames_or_crops_saved": False} pathlib.Path("/validation/soak-10m.json").write_text(json.dumps(report, indent=2))