import argparse, collections, csv, json, os, sys, threading, time import requests from concurrent.futures import ThreadPoolExecutor, as_completed sys.path.insert(0, os.path.dirname(os.path.abspath(__file__))) from hfzip import open_part, make_session, read_member ROOT = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) csv.field_size_limit(10**9) ap = argparse.ArgumentParser() ap.add_argument("--manifest", default=os.path.join(ROOT, "meta", "manifest.csv")) ap.add_argument("--budget-gb", type=float, default=None) ap.add_argument("--out", default=os.path.join(ROOT, "videos")) ap.add_argument("--workers", type=int, default=16) ap.add_argument("--chunk", type=int, default=150, help="clips per worker task (allows >1 thread per zip part)") ap.add_argument("--limit", type=int, default=None, help="benchmark: only first N clips") ap.add_argument("--retries", type=int, default=4) args = ap.parse_args() os.makedirs(args.out, exist_ok=True) jobs = [] with open(args.manifest, newline="") as f: for r in csv.DictReader(f): if args.budget_gb and float(r["cum_gb"]) > args.budget_gb: break jobs.append({"video": r["video"], "member": r["member"], "part": int(r["part"]), "bytes": int(r["bytes"])}) if args.limit: jobs = jobs[:args.limit] total_jobs = len(jobs) total_bytes = sum(j["bytes"] for j in jobs) jobs = [j for j in jobs if not os.path.exists(os.path.join(args.out, j["video"]))] print(f"manifest jobs: {total_jobs:,} ({total_bytes/1e9:.1f} GB) | todo: {len(jobs):,} " f"({sum(j['bytes'] for j in jobs)/1e9:.1f} GB) | already on disk: {total_jobs-len(jobs):,}", flush=True) by_part = collections.defaultdict(list) for j in jobs: by_part[j["part"]].append(j) # split each part's jobs into chunks -> several threads may work the same part tasks = [] for p, js in sorted(by_part.items()): for k in range(0, len(js), args.chunk): tasks.append((p, js[k:k+args.chunk])) tasks.sort(key=lambda t: -len(t[1])) print(f"parts: {len(by_part)} | tasks: {len(tasks)} | workers: {args.workers}", flush=True) LOCK = threading.Lock() THROTTLE_UNTIL = [0.0] def note_throttle(e, secs=20): """Global brake: when HF starts 429-ing, every thread pauses.""" if "429" in str(e) or "Too Many Requests" in str(e): with LOCK: THROTTLE_UNTIL[0] = max(THROTTLE_UNTIL[0], time.time() + secs) def wait_throttle(): while True: with LOCK: t = THROTTLE_UNTIL[0] d = t - time.time() if d <= 0: return time.sleep(min(d, 5)) STAT = dict(got=0, failed=0, nbytes=0, t0=time.time()) STOP = threading.Event() def bump(got=0, failed=0, nbytes=0): with LOCK: STAT["got"] += got; STAT["failed"] += failed; STAT["nbytes"] += nbytes def reporter(): last = 0 while not STOP.wait(30): with LOCK: g, fl, nb, t0 = STAT["got"], STAT["failed"], STAT["nbytes"], STAT["t0"] el = time.time() - t0 inst = (nb - last) / 30 / 1e6 last = nb eta = (len(jobs) - g) / (g / el) / 3600 if g else float("nan") print(f"[{time.strftime('%H:%M:%S')}] {g:,}/{len(jobs):,} clips {nb/1e9:.1f} GB " f"avg {nb/el/1e6:.0f} MB/s now {inst:.0f} MB/s fail {fl} ETA {eta:.1f} h", flush=True) def fetch_task(part, todo): s = make_session() z = rf = None for attempt in range(args.retries): try: z, rf = open_part(part, s); break except Exception as e: if attempt == args.retries - 1: bump(failed=len(todo)) return part, 0, len(todo), f"open_part failed: {e}" time.sleep(3 * (attempt + 1)) got = failed = 0 for j in todo: wait_throttle() dst = os.path.join(args.out, j["video"]) if os.path.exists(dst): continue tmp = dst + f".part{threading.get_ident()}" for attempt in range(args.retries): try: data = read_member(z, rf, j["member"]) with open(tmp, "wb") as fh: fh.write(data) os.replace(tmp, dst) got += 1 bump(got=1, nbytes=len(data)) break except Exception as e: note_throttle(e) try: os.path.exists(tmp) and os.remove(tmp) except Exception: pass if attempt == args.retries - 1: failed += 1; bump(failed=1) print(f" [FAIL] {j['video']} part{part}: {e}", flush=True) else: wait_throttle() time.sleep(3 * (attempt + 1)) try: z, rf = open_part(part, s) # re-open on error except Exception: pass return part, got, failed, "ok" th = threading.Thread(target=reporter, daemon=True); th.start() with ThreadPoolExecutor(max_workers=args.workers) as ex: futs = [ex.submit(fetch_task, p, js) for p, js in tasks] done = 0 for fut in as_completed(futs): done += 1 try: fut.result() except Exception as e: print(f" [TASK ERR] {e}", flush=True) STOP.set() el = time.time() - STAT["t0"] print(f"DONE got={STAT['got']:,} failed={STAT['failed']:,} " f"{STAT['nbytes']/1e9:.1f} GB in {el/60:.1f} min ({STAT['nbytes']/el/1e6:.0f} MB/s)", flush=True)