web-crawl-2026 / source /upload_big.py
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#!/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()