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import json
import time
import socket
import threading
import re
import requests
import pyarrow.parquet as pq
import pyarrow as pa
import gc
from pathlib import Path
from huggingface_hub import HfApi
# ββ Config βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
HF_TOKEN = os.environ.get("HF_TOKEN")
DATASET_REPO = "HuggingFaceFW/fineweb-edu"
RAW_DIR = "/data/raw"
STATE_FILE = "/data/state.json"
WORKER_TIMEOUT = 600
MAX_BUFFERED = 9999
CC_PREFIX = "data/CC-MAIN-2025-05"
ROWS_PER_CHUNK = 50_000
os.makedirs(RAW_DIR, exist_ok=True)
api = HfApi(token=HF_TOKEN)
# ββ Keep-alive ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
def serve():
s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
s.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1)
s.bind(("0.0.0.0", 7860))
s.listen(5)
print("β Listening on port 7860")
while True:
conn, _ = s.accept()
conn.send(b"HTTP/1.1 200 OK\r\nContent-Length: 2\r\n\r\nOK")
conn.close()
# ββ Friendly name βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
def friendly_name(hf_path):
m = re.search(r"CC-MAIN-(\d{4}-\d+)/\d+_(\d+)\.parquet", hf_path)
if m:
return f"cc{m.group(1)}_{int(m.group(2)):06d}.parquet"
return hf_path.replace("/", "__")
# ββ State βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
def load_state():
if os.path.exists(STATE_FILE):
with open(STATE_FILE) as f:
state = json.load(f)
shards = state["shards"]
queue = state.get("queue", [])
done = sum(1 for v in shards.values() if v["status"] == "done")
claimed = sum(1 for v in shards.values() if v["status"] == "claimed")
pending = sum(1 for v in shards.values() if v["status"] == "pending")
print(f"Resuming β {done} done / {claimed} claimed / {pending} buffered / {len(queue)} queued")
else:
state = {"shards": {}, "queue": []}
print("Starting fresh")
return state
def save_state(state):
tmp = STATE_FILE + ".tmp"
with open(tmp, "w") as f:
json.dump(state, f, indent=2)
os.replace(tmp, STATE_FILE)
# ββ Discover ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
def discover_queue(state):
print("Discovering shards from HF...")
files = api.list_repo_files(DATASET_REPO, repo_type="dataset")
known = {v["hf_path"] for v in state["shards"].values()} | set(state.get("queue", []))
new_count = 0
for f in files:
if f.startswith(CC_PREFIX) and f.endswith(".parquet") and f not in known:
state["queue"].append(f)
new_count += 1
print(f"β {new_count} queued | {len(state['queue'])} in queue | {len(state['shards'])} in state")
save_state(state)
# ββ Reclaim timed-out shards ββββββββββββββββββββββββββββββββββββββββββββββββββ
def reclaim_stale(state):
now = time.time()
reclaimed = 0
for name, info in state["shards"].items():
if info["status"] == "claimed" and info["claimed_at"]:
if now - info["claimed_at"] > WORKER_TIMEOUT:
print(f" β Reclaiming: {name} (worker: {info['worker']})")
info["status"] = "pending"
info["worker"] = None
info["claimed_at"] = None
reclaimed += 1
if reclaimed:
save_state(state)
# ββ Split parquet into chunks βββββββββββββββββββββββββββββββββββββββββββββββββ
def split_parquet(src_path, name):
pf = pq.ParquetFile(src_path)
chunk_paths = []
chunk_idx = 0
current = []
for batch in pf.iter_batches(batch_size=10_000, columns=["text"]):
current.append(batch)
if sum(len(b) for b in current) >= ROWS_PER_CHUNK:
chunk_name = name.replace(".parquet", f"_chunk{chunk_idx:03d}.parquet")
chunk_path = Path(RAW_DIR) / chunk_name
table = pa.Table.from_batches(current)
pq.write_table(table, chunk_path)
print(f" β {chunk_name} ({len(table):,} rows)")
chunk_paths.append(chunk_name)
chunk_idx += 1
current = []
del table
gc.collect()
if current:
chunk_name = name.replace(".parquet", f"_chunk{chunk_idx:03d}.parquet")
chunk_path = Path(RAW_DIR) / chunk_name
table = pa.Table.from_batches(current)
pq.write_table(table, chunk_path)
print(f" β {chunk_name} ({len(table):,} rows)")
chunk_paths.append(chunk_name)
del table
gc.collect()
return chunk_paths
# ββ Download loop βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
def download_loop(state):
base_url = f"https://huggingface.co/datasets/{DATASET_REPO}/resolve/main/"
while True:
try:
with open(STATE_FILE) as f:
fresh = json.load(f)
state["shards"] = fresh["shards"]
state["queue"] = fresh.get("queue", [])
except Exception:
pass
reclaim_stale(state)
buffered = sum(1 for v in state["shards"].values() if v["status"] == "pending")
if buffered >= MAX_BUFFERED:
time.sleep(30)
continue
if not state["queue"]:
done = sum(1 for v in state["shards"].values() if v["status"] == "done")
total = len(state["shards"])
if done == total and total > 0:
print("β All shards complete!")
break
print(" Queue empty β sleeping...")
time.sleep(60)
continue
hf_path = state["queue"][0]
name = friendly_name(hf_path)
raw_path = Path(RAW_DIR) / name
tmp_path = Path(RAW_DIR) / f"{name}.tmp"
url = base_url + hf_path
print(f" Downloading: {hf_path} β {name}")
try:
resp = requests.get(
url,
headers={"Authorization": f"Bearer {HF_TOKEN}"},
timeout=300,
stream=True,
)
resp.raise_for_status()
with open(tmp_path, "wb") as f:
for chunk in resp.iter_content(chunk_size=8 * 1024 * 1024):
f.write(chunk)
tmp_path.rename(raw_path)
except Exception as e:
print(f" β Download failed: {e} β retrying in 30s")
tmp_path.unlink(missing_ok=True)
time.sleep(30)
continue
print(f" Splitting: {name}")
try:
chunk_names = split_parquet(raw_path, name)
except Exception as e:
print(f" β Split failed: {e} β retrying in 30s")
raw_path.unlink(missing_ok=True)
time.sleep(30)
continue
raw_path.unlink(missing_ok=True)
state["queue"].pop(0)
for chunk_name in chunk_names:
state["shards"][chunk_name] = {
"status": "pending",
"hf_path": hf_path,
"worker": None,
"claimed_at": None,
"error": None,
}
save_state(state)
print(f" β {len(chunk_names)} chunks ready from {name}")
time.sleep(5)
# ββ Monitor βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
def monitor_loop():
while True:
time.sleep(120)
try:
with open(STATE_FILE) as f:
s = json.load(f)
shards = s["shards"]
queue = s.get("queue", [])
done = sum(1 for v in shards.values() if v["status"] == "done")
claimed = sum(1 for v in shards.values() if v["status"] == "claimed")
pending = sum(1 for v in shards.values() if v["status"] == "pending")
total = len(shards) + len(queue)
pct = (done / total * 100) if total else 0
print(f"[MONITOR] {done}/{total} ({pct:.1f}%) | {claimed} active | {pending} buffered | {len(queue)} queued")
except Exception:
pass
# ββ Entry point βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
if __name__ == "__main__":
threading.Thread(target=serve, daemon=True).start()
state = load_state()
discover_queue(state)
threading.Thread(target=monitor_loop, daemon=True).start()
threading.Thread(target=download_loop, args=(state,), daemon=True).start()
while True:
time.sleep(60) |