Glass A1 Audit — scrub + timeline

#!/usr/bin/env python3 """Build a local scrub/timeline audit page for Phase A1 outputs.""" from __future__ import annotations import argparse import json from pathlib import Path HTML = """ Glass A1 Audit — scrub + timeline

Phase A1 Audit

AI work AI wait AI cycle GT markers

Events (click to seek)

t=0 on this page = wall __WALL0__ / video_abs __VT0__

AI cycles

GT load cycles (in window)

AI wait intervals

""" def main() -> int: ap = argparse.ArgumentParser() ap.add_argument("--run-dir", required=True) ap.add_argument("--gt-json", required=True) ap.add_argument("--video-rel", default="overlay_1fps.mp4") ap.add_argument("--out-html", required=True) args = ap.parse_args() run = Path(args.run_dir) summary = json.loads((run / "summary.json").read_text(encoding="utf-8")) occ = json.loads((run / "occupancy_intervals.json").read_text(encoding="utf-8")) cycles = json.loads((run / "load_cycles.json").read_text(encoding="utf-8"))["cycles"] gt = json.loads(Path(args.gt_json).read_text(encoding="utf-8")) vt0 = int(summary["video_t0"]) dur = int(summary["n_frames"]) wall0_h = 8 + vt0 // 3600 wall0_m = (vt0 % 3600) // 60 data = { "cycles": cycles, "work": occ.get("work") or [], "wait": occ.get("wait") or [], "gt_cycles": gt.get("load_cycle_points") or [], "work_sec": summary.get("work_sec"), "wait_sec": summary.get("wait_sec"), } html = ( HTML.replace("__VIDEO__", args.video_rel) .replace("__DURATION__", str(dur)) .replace("__VT0__", str(vt0)) .replace("__WALL0__", f"{wall0_h:02d}:{wall0_m:02d}") .replace("__DATA__", json.dumps(data, ensure_ascii=False)) ) out = Path(args.out_html) out.parent.mkdir(parents=True, exist_ok=True) out.write_text(html, encoding="utf-8") print(f"wrote {out}") return 0 if __name__ == "__main__": raise SystemExit(main())