#!/usr/bin/env python3 """Upload daemon that accumulates crawl chunks until >= 1GB, then combines and uploads.""" import os, time, glob, datetime, json, shutil from huggingface_hub import HfApi TOKEN = 'HF_TOKEN_REDACTED' REPO = 'OpenTransformer/web-crawl-2026' MIN_BATCH_SIZE = 1 * 1024 * 1024 * 1024 # 1GB minimum before uploading MAX_AGE_HOURS = 24 # force upload if oldest file > 24h old even if < 1GB STALE_SEC = 300 # file must be untouched for 5 min to be considered complete POLL_SEC = 120 # check every 2 minutes DIRS = ['/workspace/scraped_data_go', '/workspace/scraped_data', '/workspace/staging', '/workspace/scraped_data_rust'] STATE_FILE = '/workspace/upload_big_state.json' api = HfApi(token=TOKEN) def log(msg): ts = datetime.datetime.utcnow().isoformat() print(f'{ts} {msg}', flush=True) def load_state(): try: with open(STATE_FILE) as f: return json.load(f) except: return {'uploaded': [], 'total_uploaded_bytes': 0} def save_state(state): with open(STATE_FILE, 'w') as f: json.dump(state, f, indent=2) def find_ready_files(): """Find .gz files that are stale (not being written to).""" ready = [] now = time.time() state = load_state() uploaded_set = set(state.get('uploaded', [])) for d in DIRS: if not os.path.isdir(d): continue for f in sorted(glob.glob(os.path.join(d, '*.gz'))): basename = os.path.basename(f) if basename in uploaded_set: continue try: sz = os.path.getsize(f) age = now - os.path.getmtime(f) except OSError: continue if sz < 1024 * 1024: # skip < 1MB continue if age < STALE_SEC: # still being written continue ready.append((f, sz, age)) return ready def combine_files(files, output_path): """Concatenate gzip files into one.""" with open(output_path, 'wb') as out: for fpath, _, _ in files: with open(fpath, 'rb') as inp: shutil.copyfileobj(inp, out, length=8*1024*1024) return os.path.getsize(output_path) def main(): log('Big upload daemon started (1GB batches, 2min poll)') while True: ready = find_ready_files() if not ready: log('No ready files, sleeping...') time.sleep(POLL_SEC) continue total_ready = sum(sz for _, sz, _ in ready) max_age_h = max(age for _, _, age in ready) / 3600 log(f'Found {len(ready)} ready files, total {total_ready/(1024*1024):.0f}MB, oldest {max_age_h:.1f}h') # Upload if total >= 1GB OR oldest file > 24h if total_ready < MIN_BATCH_SIZE and max_age_h < MAX_AGE_HOURS: log(f'Waiting for more data ({total_ready/(1024*1024*1024):.2f}GB / 1GB minimum, oldest {max_age_h:.1f}h / {MAX_AGE_HOURS}h max)') time.sleep(POLL_SEC) continue # Combine and upload ts = datetime.datetime.utcnow().strftime('%Y%m%d_%H%M%S') combined_path = f'/workspace/crawl_batch_{ts}.jsonl.gz' log(f'Combining {len(ready)} files into {combined_path}...') combined_size = combine_files(ready, combined_path) combined_gb = combined_size / (1024*1024*1024) remote_name = f'crawl_batch_{ts}_{combined_gb:.1f}GB.jsonl.gz' remote_path = f'crawl/combined/{remote_name}' log(f'Uploading {combined_gb:.2f}GB -> {remote_path}') try: api.upload_file( path_or_fileobj=combined_path, path_in_repo=remote_path, repo_id=REPO, repo_type='dataset', commit_message=f'Crawl batch {ts} ({combined_gb:.1f}GB, {len(ready)} chunks, {sum(1 for _ in ready)} files)', ) log(f'Upload complete! Cleaning up local files...') state = load_state() for fpath, sz, _ in ready: basename = os.path.basename(fpath) state['uploaded'].append(basename) state['total_uploaded_bytes'] = state.get('total_uploaded_bytes', 0) + sz try: os.remove(fpath) log(f' Deleted {basename}') except: pass save_state(state) # Remove combined file try: os.remove(combined_path) except: pass log(f'Batch upload done! Total uploaded so far: {state[total_uploaded_bytes]/(1024*1024*1024):.2f}GB') except Exception as e: log(f'Upload FAILED: {e}') try: os.remove(combined_path) except: pass time.sleep(POLL_SEC) if __name__ == '__main__': main()