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import os
import json
import time
import socket
import threading
import gc
import ctypes
import multiprocessing as mp
from pathlib import Path
import numpy as np
import pyarrow.parquet as pq
from tokenizers import Tokenizer

# ── Config ───────────────────────────────────────────────────────────────────
HF_TOKEN      = os.environ.get("HF_TOKEN")
STATE_FILE    = "/data/state.json"
RAW_DIR       = "/data/raw"
OUT_DIR       = "/data/tokenized"
TOK_PATH      = "/data/tokenizer.json"
WORKER_ID     = socket.gethostname()
POLL_INTERVAL = 15

os.makedirs(OUT_DIR, exist_ok=True)

# ── Keep-alive ────────────────────────────────────────────────────────────────
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(f"βœ“ [{WORKER_ID}] 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()

# ── State ─────────────────────────────────────────────────────────────────────
def load_state():
    with open(STATE_FILE) as f:
        return json.load(f)

def save_state(state):
    tmp = STATE_FILE + f".tmp.{WORKER_ID}"
    with open(tmp, "w") as f:
        json.dump(state, f, indent=2)
    os.replace(tmp, STATE_FILE)

# ── Claim a pending shard ─────────────────────────────────────────────────────
def claim_shard(state):
    for name, info in state["shards"].items():
        if info["status"] == "pending":
            raw_path = Path(RAW_DIR) / name
            if raw_path.exists():
                info["status"]     = "claimed"
                info["worker"]     = WORKER_ID
                info["claimed_at"] = time.time()
                save_state(state)
                return name, raw_path
    return None, None

# ── Tokenizer subprocess ──────────────────────────────────────────────────────
_worker_tokenizer = None

def init_worker(tok_path):
    global _worker_tokenizer
    _worker_tokenizer = Tokenizer.from_file(tok_path)

def tokenize_chunk(texts):
    encs = _worker_tokenizer.encode_batch(texts)
    return [e.ids for e in encs if len(e.ids) >= 2]

# ── Process shard ─────────────────────────────────────────────────────────────
def process_shard(name, raw_path, pool):
    print(f"  [{WORKER_ID}] Processing: {name}")

    out_name = name.replace(".parquet", ".bin")
    out_path = Path(OUT_DIR) / out_name
    tmp_path = Path(OUT_DIR) / f"{out_name}.tmp"
    total_tokens = 0

    try:
        pf = pq.ParquetFile(raw_path)
    except Exception as e:
        raw_path.unlink(missing_ok=True)
        return False, f"read_failed: {e}"

    try:
        with open(tmp_path, "wb") as f:
            for batch in pf.iter_batches(batch_size=5_000, columns=["text"]):
                texts = batch.column("text").to_pylist()
                mid   = len(texts) // 2

                try:
                    results = pool.map(tokenize_chunk, [texts[:mid], texts[mid:]])
                except Exception as e:
                    tmp_path.unlink(missing_ok=True)
                    return False, f"tokenize_failed: {e}"

                for ids in results[0] + results[1]:
                    arr = np.array(ids, dtype=np.uint16)
                    arr.tofile(f)
                    total_tokens += len(ids)

                del texts, results
                gc.collect()

    except Exception as e:
        tmp_path.unlink(missing_ok=True)
        return False, f"write_failed: {e}"

    tmp_path.rename(out_path)  # ← atomic, only visible when complete
    print(f"  βœ“ [{WORKER_ID}] {out_name} | {total_tokens:,} tokens")
    return True, None

# ── Force full memory flush ───────────────────────────────────────────────────
def flush_memory():
    gc.collect()
    try:
        ctypes.CDLL("libc.so.6").malloc_trim(0)
    except Exception:
        pass

# ── Worker loop ───────────────────────────────────────────────────────────────
def worker_loop():
    os.makedirs(OUT_DIR, exist_ok=True)
    print(f"βœ“ [{WORKER_ID}] Loading tokenizer...")
    tok = Tokenizer.from_file(TOK_PATH)
    print(f"βœ“ [{WORKER_ID}] Tokenizer ready | vocab: {tok.get_vocab_size():,}")
    del tok
    flush_memory()

    pool = mp.Pool(processes=2, initializer=init_worker, initargs=(TOK_PATH,))
    print(f"βœ“ [{WORKER_ID}] Worker pool ready")

    try:
        while True:
            if not os.path.exists(STATE_FILE):
                print(f"  [{WORKER_ID}] Waiting for state.json...")
                time.sleep(POLL_INTERVAL)
                continue

            try:
                state = load_state()
            except Exception as e:
                print(f"  [{WORKER_ID}] State read error: {e}")
                time.sleep(POLL_INTERVAL)
                continue

            total = len(state["shards"]) + len(state.get("queue", []))
            done  = sum(1 for v in state["shards"].values() if v["status"] == "done")
            if total > 0 and done == total:
                print(f"  [{WORKER_ID}] All done. Sleeping.")
                time.sleep(300)
                continue

            name, raw_path = claim_shard(state)

            if not name:
                print(f"  [{WORKER_ID}] Nothing ready β€” polling in {POLL_INTERVAL}s")
                time.sleep(POLL_INTERVAL)
                continue

            print(f"  [{WORKER_ID}] Claimed: {name}")
            success, error = process_shard(name, raw_path, pool)

            try:
                state = load_state()
            except Exception:
                pass

            if success:
                state["shards"][name]["status"] = "done"
                state["shards"][name]["error"]  = None
                save_state(state)
                try:
                    raw_path.unlink()
                    print(f"  [{WORKER_ID}] Deleted: {raw_path.name}")
                except Exception as e:
                    print(f"  [{WORKER_ID}] Delete failed: {e}")
            else:
                state["shards"][name]["status"]     = "pending"
                state["shards"][name]["worker"]     = None
                state["shards"][name]["claimed_at"] = None
                state["shards"][name]["error"]      = error
                save_state(state)
                print(f"  [{WORKER_ID}] Failed ({error}) β€” left on disk for retry: {name}")

            flush_memory()
            time.sleep(5)

    finally:
        pool.terminate()
        pool.join()

# ── Entry point ───────────────────────────────────────────────────────────────
if __name__ == "__main__":
    threading.Thread(target=serve, daemon=True).start()
    threading.Thread(target=worker_loop, daemon=True).start()
    while True:
        time.sleep(60)