"""abeja-cc-ja 第5パス: 金融アフィリエイト・EC 商品ページ・未対応区分（秘密情報、機密・流出、非同意性的、海賊版、Web 定型、キーワード詰め込み）の除去、 IP アドレスと認証情報値のマスキング、完全一致重複の除去（計画があれば）。入力 outputs_decontam///.parquet（url, content, perplexity）。 python tools/abeja_pass5.py --calibrate --files a.parquet,b.parquet # ローカル較正（規則別の件数と例） python tools/abeja_pass5.py --repo Podtech/abeja-cc-ja-cleaned --source-prefix outputs_decontam --dir common_crawl_0 --output-root /work/out/common_crawl_0 --upload-repo ... --upload-prefix outputs_v5 """ from __future__ import annotations import argparse import collections import hashlib import json import os import re import shutil import time import traceback from concurrent.futures import ProcessPoolExecutor from datetime import datetime, timezone from pathlib import Path from typing import Any VERSION = "abeja-pass5/2026-09-09" EXCLUDE_GENRES_DEFAULT = "diary_blog,affiliate,game,entertainment,ec_product" # ユーザー指示（2026-09-09）: other 以外の 5 ジャンル（日記ブログ／投資・美容・健康のアフィリエイト／ゲーム／芸能／EC）を除外 CTA = ["口座開設", "公式サイト", "今なら", "キャンペーン", "キャッシュバック", "おすすめ", "ランキング", "比較", "申し込み", "申込", "限定", "最短", "無料", "詳しくはこちら", "こちらから", "登録はこちら", "特典", "ボーナス", "紹介コード", "招待コード", "アフィリエイト", "提携", "口コミ", "評判", "デメリット", "メリット"] VERTICALS = { "fx": ["FX", "外国為替証拠金", "為替差益", "スワップポイント", "通貨ペア", "ロスカット", "pips", "証拠金", "スプレッド", "レバレッジ", "ドル円", "米ドル/円", "海外FX", "自動売買", "デイトレード", "スキャルピング"], "crypto": ["仮想通貨", "暗号資産", "ビットコイン", "BTC", "イーサリアム", "アルトコイン", "取引所", "ウォレット", "マイニング", "NFT", "エアドロップ", "草コイン", "ステーキング", "DeFi"], "fund": ["投資信託", "NISA", "iDeCo", "つみたて", "積立投資", "信託報酬", "インデックスファンド", "米国株", "高配当", "証券口座", "楽天証券", "SBI証券", "資産運用", "ロボアド"], "loan": ["カードローン", "キャッシング", "消費者金融", "借入", "即日融資", "審査", "借り換え", "おまとめ", "無利息", "プロミス", "アコム", "アイフル", "闇金", "ソフト闇金", "後払い", "現金化"], "realestate": ["不動産投資", "ワンルーム", "利回り", "家賃収入", "マンション投資", "サブリース", "不動産クラウドファンディング", "太陽光投資"], "beauty": ["脱毛", "美白", "シミ", "しわ", "たるみ", "毛穴", "エステ", "美容液", "化粧水", "サプリ", "ダイエット", "痩せ", "酵素", "プロテイン", "育毛", "薄毛", "AGA", "バストアップ", "ホワイトニング", "医療脱毛", "全身脱毛", "クリニック", "二重整形", "ヒアルロン酸"], "jobs": ["転職エージェント", "転職サイト", "求人", "年収", "未経験", "派遣", "退職代行", "プログラミングスクール", "資格講座"], "dating": ["婚活", "マッチングアプリ", "出会い", "結婚相談所", "パパ活", "セフレ"], "utility": ["ウォーターサーバー", "マットレス", "光回線", "格安SIM", "ポケットWiFi", "引越し業者", "買取", "車査定", "太陽光", "宅配クリーニング", "食材宅配", "ハウスクリーニング"], } # 縦割りごとの「強い語」（これが 1 語以上含まれないと判定しない）。無ければ全語が強い語 STRONG_TERMS = { "loan": {"カードローン", "キャッシング", "消費者金融", "即日融資", "無利息", "プロミス", "アコム", "アイフル", "闇金", "ソフト闇金", "後払い", "現金化", "おまとめ"}, "jobs": {"転職エージェント", "転職サイト", "退職代行", "プログラミングスクール", "資格講座", "派遣"}, "realestate": {"不動産投資", "サブリース", "不動産クラウドファンディング", "太陽光投資", "家賃収入", "マンション投資"}, "fund": {"投資信託", "NISA", "iDeCo", "つみたて", "積立投資", "信託報酬", "インデックスファンド", "証券口座", "楽天証券", "SBI証券", "ロボアド"}, "crypto": {"仮想通貨", "暗号資産", "ビットコイン", "BTC", "イーサリアム", "アルトコイン", "エアドロップ", "草コイン", "ステーキング", "DeFi", "NFT"}, "utility": {"ウォーターサーバー", "光回線", "格安SIM", "ポケットWiFi", "車査定", "宅配クリーニング", "食材宅配", "ハウスクリーニング", "引越し業者"}, "beauty": {"脱毛", "医療脱毛", "全身脱毛", "美容液", "サプリ", "育毛", "薄毛", "AGA", "バストアップ", "ホワイトニング", "二重整形", "ヒアルロン酸", "酵素", "プロテイン"}, } # (必要な語数, 必要な CTA 語数)。FX はユーザー指示（2026-09-09）で 1 語でも対象 RULE_MIN = {"fx": (1, 2), "crypto": (2, 2), "fund": (2, 2), "loan": (2, 2), "realestate": (2, 3), "beauty": (2, 3), "jobs": (2, 3), "dating": (2, 3), "utility": (2, 3)} EC_CUES = ["カートに入れる", "カートに追加", "買い物かご", "在庫あり", "在庫なし", "送料無料", "税込", "税抜", "円（税込）", "円(税込)", "販売価格", "定価", "ポイント還元", "商品説明", "商品番号", "商品コード", "型番", "JAN", "数量", "ご注文", "お届け", "配送", "返品", "ギフト", "ラッピング", "メーカー希望小売価格", "セール", "アウトレット", "お気に入りに追加", "再入荷", "レビューを書く", "お客様の声", "SOLD OUT", "売り切れ", "入荷待ち"] EC_HOST = re.compile(r"rakuten\.co\.jp|amazon\.co\.jp|shopping\.yahoo\.co\.jp|store\.shopping|mercari|zozo|yodobashi|biccamera|kakaku\.com|monotaro|askul|dmm\.com|/item/|/products?/|/goods/|/shop/|shop\.|store\.|cart|/product-", re.I) PIRACY_SITES = ["漫画村", "漫画バンク", "anitube", "kissanime", "nyaa", "13dl", "manga1000", "manga1001", "hitomi.la", "rawdevart", "mangaraw", "torrent", "トレント", "海賊版", "違法アップロード", "違法ダウンロード"] PIRACY_CUES = ["無料で読める", "全巻無料", "無料視聴", "無料で見る", "zip", "rar", "ダウンロード", "raw", "字幕付き 無料", "見放題 違法"] NONCONSENT = ["盗撮", "隠し撮り", "リベンジポルノ", "流出動画", "流出画像", "流出した動画", "ハメ撮り", "無修正流出", "個人撮影"] WEAK_PIRACY = {"torrent", "トレント"} SEXUAL_TERMS_FILE = "abeja-cc-ja/src/wordlists/cooccurrence/ja_sexual_terms.txt" CONFIDENTIAL = re.compile(r"社外秘|部外秘|関係者外秘|Confidential\s*[-–:]?\s*(?:Do not distribute|Internal use only)|INTERNAL USE ONLY|STRICTLY CONFIDENTIAL", re.I) CRED_DUMP_LINE = re.compile(r"^[^\s@]+@[^\s@]+\.[a-z]{2,}\s*[:|;,\t ]\s*\S{6,}\s*$", re.I | re.M) SECRET_STRONG = re.compile(r"-----BEGIN (?:RSA |EC |OPENSSH |DSA |PGP )?PRIVATE KEY-----|AKIA[0-9A-Z]{16}|AIza[0-9A-Za-z_\-]{35}|gh[pousr]_[A-Za-z0-9]{36,}|xox[baprs]-[0-9A-Za-z\-]{10,}|sk_live_[0-9a-zA-Z]{24,}") SECRET_KV = re.compile(r"(?i)\b(api[_-]?key|secret[_-]?key|access[_-]?token|client[_-]?secret|auth[_-]?token)\b\s*[:=]\s*['\"]?([A-Za-z0-9_\-]{20,})") PASSWORD_KV = re.compile(r"(?i)(password|passwd|pwd|パスワード|暗証番号)\s*[:=：]\s*['\"]?(?!\*+|●+|●|\*|x+\b|半角|英数|例|ここ)([^\s'\"、。，,]{6,32})") BOILER = ["Cookieを使用", "Cookie を使用", "クッキーを使用", "Cookieの使用に同意", "cookieの利用に同意", "ページが見つかりません", "お探しのページ", "404 Not Found", "JavaScriptを有効", "JavaScript を有効", "JavaScriptが無効", "ブラウザの設定", "アクセスが集中", "メンテナンス中", "ページは移動", "削除された可能性"] IPV4 = re.compile(r"(? bool: if not term.isascii(): return True return not ((st > 0 and low[st - 1].isalnum()) or (end + 1 < len(low) and low[end + 1].isalnum())) def _init(cfg: dict) -> None: global _AUTO, _SEX, _ENC import ahocorasick a = ahocorasick.Automaton() groups = {f"v:{k}": v for k, v in VERTICALS.items()}; groups["cta"] = CTA; groups["ec"] = EC_CUES; groups["pir_site"] = PIRACY_SITES; groups["pir_cue"] = PIRACY_CUES; groups["noncons"] = NONCONSENT; groups["boiler"] = BOILER index: dict[str, set] = collections.defaultdict(set) for g, terms in groups.items(): for t in terms: index[t.casefold()].add(g) for t, gs in index.items(): a.add_word(t, (t, tuple(gs))) a.make_automaton(); _AUTO = a sex = ahocorasick.Automaton() for t in cfg.get("sexual_terms") or []: sex.add_word(t.casefold(), t) sex.make_automaton(); _SEX = sex if cfg.get("sexual_terms") else None if cfg.get("count_tokens"): import tiktoken; _ENC = tiktoken.get_encoding("o200k_harmony") def scan(text: str) -> dict[str, set]: low = text.casefold(); found: dict[str, set] = collections.defaultdict(set) for end, (term, gs) in _AUTO.iter(low): st = end - len(term) + 1 if not _boundary_ok(low, st, end, term): continue for g in gs: found[g].add(term) return found def keyword_stuffing(text: str) -> tuple[bool, str]: t = re.sub(r"\s+", "", text) if len(t) < 600: return False, "" c = collections.Counter(t[i:i + 4] for i in range(0, len(t) - 3)) g, n = c.most_common(1)[0] if n >= 25 and n * 4 / len(t) >= 0.12 and re.search(r"[^\W\d_]", g): return True, f"{g}×{n}" return False, "" def decide(url: str, text: str) -> tuple[list[str], dict, str, dict]: """(除去理由の一覧, 詳細, マスキング後の本文, マスキング件数)""" reasons: list[str] = []; info: dict = {}; f = scan(text) cta = f.get("cta", set()) for k in VERTICALS: vt = f.get(f"v:{k}", set()) strong = vt & STRONG_TERMS.get(k, vt) min_terms, min_cta = RULE_MIN.get(k, (2, 3)) if len(vt) >= min_terms and strong and len(cta) >= min_cta: reasons.append(f"affiliate_{k}"); info[f"affiliate_{k}"] = {"terms": sorted(vt)[:6], "cta": sorted(cta)[:6]} ec = f.get("ec", set()); host = bool(EC_HOST.search(url or "")) if len(ec) >= 6 or (host and len(ec) >= 3): reasons.append("ec_product"); info["ec_product"] = {"cues": sorted(ec)[:8], "host": host} ps, pc = f.get("pir_site", set()), f.get("pir_cue", set()) strong_ps = ps - WEAK_PIRACY if len(ps) >= 2 or (strong_ps and pc) or (ps and len(pc) >= 2): reasons.append("piracy"); info["piracy"] = {"sites": sorted(ps)[:4], "cues": sorted(pc)[:4]} nc = f.get("noncons", set()) if nc and _SEX is not None: low = text.casefold(); sex_hits = {t for _, t in _SEX.iter(low)} - set(NONCONSENT) - {"性的", "性", "エロ"} if len(sex_hits) >= 2: reasons.append("nonconsensual_sexual"); info["nonconsensual_sexual"] = {"terms": sorted(nc)[:4], "sexual": sorted(sex_hits)[:4]} if SECRET_STRONG.search(text): reasons.append("secret_key"); info["secret_key"] = SECRET_STRONG.search(text).group(0)[:12] + "…" dump = CRED_DUMP_LINE.findall(text) if len(dump) >= 5: reasons.append("credential_dump"); info["credential_dump"] = {"lines": len(dump)} m = CONFIDENTIAL.search(text) if m: reasons.append("confidential_marker"); info["confidential_marker"] = m.group(0) b = f.get("boiler", set()) if len(text) < 1000 and len(b) >= 2: reasons.append("web_boilerplate"); info["web_boilerplate"] = sorted(b)[:5] ks, kinfo = keyword_stuffing(text) if ks: reasons.append("keyword_stuffing"); info["keyword_stuffing"] = kinfo masks: dict[str, int] = {}; out = text if not reasons: out, n = IPV4.subn(lambda mm: mm.group(1) if mm.group(1).startswith(("10.", "127.", "192.168.", "0.", "255.")) or re.match(r"172\.(1[6-9]|2\d|3[01])\.", mm.group(1)) else "", out) if n: masks["ip"] = n out, n = SECRET_KV.subn(lambda mm: f"{mm.group(1)}=", out) if n: masks["secret_kv"] = n out, n = PASSWORD_KV.subn(lambda mm: f"{mm.group(1)}: ", out) if n: masks["password"] = n return reasons, info, out, masks def _fetch(repo: str, path_in_repo: str, local_dir: Path, attempts: int = 6) -> Path: from huggingface_hub import hf_hub_download for k in range(attempts): try: return Path(hf_hub_download(repo, path_in_repo, repo_type="dataset", token=os.environ.get("HF_TOKEN"), local_dir=str(local_dir))) except Exception as e: # noqa: BLE001 if k == attempts - 1: raise time.sleep(20 * (k + 1)) def process_shard(task: dict) -> dict: import pyarrow as pa, pyarrow.parquet as pq started = time.perf_counter(); shard = task["shard"] try: _init(task["cfg"]) local = _fetch(task["repo"], task["path"], Path(task["staging_dir"])) if task.get("repo") else Path(task["path"]) out_dir = Path(task["output_root"]) / shard; out_dir.mkdir(parents=True, exist_ok=True) genre_of: dict[str, str] = {} if task.get("features_path"): fl = _fetch(task["repo"], task["features_path"], Path(task["staging_dir"])) if task.get("repo") else Path(task["features_path"]) ft = pq.read_table(fl, columns=["content_sha1", "genre"]); genre_of = dict(zip(ft.column("content_sha1").to_pylist(), ft.column("genre").to_pylist())) if task.get("repo"): Path(fl).unlink(missing_ok=True) exclude_genres = set(task["cfg"].get("exclude_genres") or []) pf = pq.ParquetFile(local); codec = pf.metadata.row_group(0).column(0).compression if pf.metadata.num_row_groups else "SNAPPY" writer = pq.ParquetWriter(out_dir / f"{shard}.parquet", pf.schema_arrow, compression=codec.lower() if codec != "UNCOMPRESSED" else None) dedup: set = set(task.get("dedup_rows") or []); reasons_c = collections.Counter(); masks_c = collections.Counter(); rows_in = 0; written = 0; tok_removed = 0; masked_docs = 0 removed_f = (out_dir / "pass5_removed.jsonl").open("w", encoding="utf-8"); sha_list = [] try: for batch in pf.iter_batches(batch_size=2048): d = batch.to_pydict(); n = batch.num_rows; keep_idx = []; new_content = list(d["content"]) for i in range(n): row = rows_in + i; url = d["url"][i] or ""; text = d["content"][i] or "" if row in dedup: reasons, info = ["exact_duplicate"], {"exact_duplicate": task.get("dedup_info", {}).get(row)}; out = text; masks = {} else: reasons, info, out, masks = decide(url, text) g = genre_of.get(hashlib.sha1(text.encode("utf-8")).hexdigest()) if genre_of else None if g in exclude_genres: reasons.append(f"genre_{g}"); info[f"genre_{g}"] = True; out = text; masks = {} elif genre_of and g is None: reasons_c["_features_unmatched"] += 1 if reasons: for r in reasons: reasons_c[r] += 1 reasons_c["_removed"] += 1 if _ENC is not None: tok_removed += len(_ENC.encode(text, disallowed_special=())) removed_f.write(json.dumps({"row_index": row, "reasons": reasons, "info": info, "url": url, "content": text, "perplexity": d.get("perplexity", [None] * n)[i]}, ensure_ascii=False, default=str) + "\n") else: keep_idx.append(i); new_content[i] = out if masks: masked_docs += 1; masks_c.update(masks) sha_list.append(hashlib.sha1(out.encode("utf-8")).digest()) if keep_idx: cols = {} for name in pf.schema_arrow.names: vals = new_content if name == "content" else d[name] cols[name] = pa.array([vals[i] for i in keep_idx], type=pf.schema_arrow.field(name).type) kept = pa.record_batch(cols, schema=pf.schema_arrow); writer.write_batch(kept); written += kept.num_rows rows_in += n finally: writer.close(); removed_f.close() pq.write_table(pa.table({"sha1": pa.array(sha_list, pa.binary(20))}), out_dir / "pass5_sha1.parquet") check = pq.ParquetFile(out_dir / f"{shard}.parquet"); assert check.metadata.num_rows == written == rows_in - reasons_c["_removed"], "row count mismatch" summary = {"version": VERSION, "dir": task["config"], "shard": shard, "rows_in": rows_in, "rows_removed": reasons_c.pop("_removed", 0), "rows_out": written, "features_unmatched": reasons_c.pop("_features_unmatched", 0), "features_rows": len(genre_of), "removed_by_reason": dict(reasons_c), "masked_docs": masked_docs, "masks": dict(masks_c), "tokens_removed": tok_removed if _ENC is not None else None, "dedup_rows_planned": len(dedup), "compression": codec, "seconds": round(time.perf_counter() - started, 1), "finished_at_utc": datetime.now(timezone.utc).isoformat()} (out_dir / "pass5_summary.json").write_text(json.dumps(summary, ensure_ascii=False, indent=2) + "\n", encoding="utf-8") if task.get("repo"): Path(local).unlink(missing_ok=True) return summary except Exception as error: # noqa: BLE001 return {"shard": shard, "error": repr(error), "traceback": traceback.format_exc()} def upload_batch(api: Any, repo: str, prefix: str, output_root: Path, shards: list[str], delete_local: bool) -> None: """複数シャードを 1 コミットでまとめてアップロード（HF のコミット制限 320/時 対策）。429 は案内された待ち時間だけ待って再試行""" import re as _re for attempt in range(12): try: api.upload_folder(repo_id=repo, repo_type="dataset", folder_path=str(output_root), path_in_repo=prefix, allow_patterns=[f"{sh}/**" for sh in shards], commit_message=f"{Path(prefix).name} {shards[0]}..{shards[-1]} ({len(shards)} shards)") break except Exception as e: # noqa: BLE001 msg = str(e); m = _re.search(r"retry this action in (\d+) minutes", msg) wait = (int(m.group(1)) * 60 + 90) if m else (120 * (attempt + 1)) print(json.dumps({"event": "upload_retry", "attempt": attempt + 1, "wait_s": wait, "error": msg[:160]}), flush=True) if attempt == 11: raise time.sleep(wait) if delete_local: for sh in shards: shutil.rmtree(output_root / sh, ignore_errors=True) def calibrate(files: list[str], cfg: dict, limit: int | None, features: list[str] | None = None) -> None: import pyarrow.parquet as pq _init(cfg); c = collections.Counter(); ex = collections.defaultdict(list); n = 0; masks_c = collections.Counter(); hosts = collections.defaultdict(collections.Counter); excl = set(cfg.get("exclude_genres") or []) for fi, f in enumerate(files): pf = pq.ParquetFile(f); genre_of = {} if features: ft = pq.read_table(features[fi], columns=["content_sha1", "genre"]); genre_of = dict(zip(ft.column("content_sha1").to_pylist(), ft.column("genre").to_pylist())) for batch in pf.iter_batches(batch_size=2048, columns=["url", "content"]): for url, text in zip(batch.column("url").to_pylist(), batch.column("content").to_pylist()): n += 1; reasons, info, out, masks = decide(url or "", text or "") g = genre_of.get(hashlib.sha1((text or "").encode("utf-8")).hexdigest()) if genre_of else None if g in excl: reasons.append(f"genre_{g}"); info[f"genre_{g}"] = True for r in reasons: c[r] += 1; hosts[r][re.sub(r"^https?://([^/]+).*", r"\1", url or "")] += 1 if len(ex[r]) < 4: ex[r].append((url[:60], json.dumps(info.get(r), ensure_ascii=False)[:100], (text or "")[:120].replace("\n", " "))) if reasons: c["_removed"] += 1 masks_c.update(masks) if limit and n >= limit: break if limit and n >= limit: break only_genre = sum(1 for _ in []) # placeholder print(json.dumps({"docs": n, "removed": c.pop("_removed", 0), "by_reason": dict(c), "masks": dict(masks_c)}, ensure_ascii=False)) for r, lst in ex.items(): print(f"== {r} ({c[r]}, {c[r]/n:.3%}) hosts {hosts[r].most_common(3)}") for e in lst: print(" ", e[0], "|", e[1], "|", e[2]) def main(argv: list[str] | None = None) -> None: parser = argparse.ArgumentParser(description=__doc__, formatter_class=argparse.RawDescriptionHelpFormatter) parser.add_argument("--calibrate", action="store_true"); parser.add_argument("--files", default=""); parser.add_argument("--limit", type=int, default=None) parser.add_argument("--repo", default=None); parser.add_argument("--source-prefix", default="outputs_decontam"); parser.add_argument("--dir", default=None) parser.add_argument("--output-root", type=Path, default=None); parser.add_argument("--staging-dir", type=Path, default=Path("/work/staging")); parser.add_argument("--plan", default=None, help="dedup 計画 parquet（dir, shard, row_index, kept_shard, kept_row_index）") parser.add_argument("--sexual-terms", default=None); parser.add_argument("--count-tokens", action="store_true"); parser.add_argument("--limit-shards", type=int, default=None) parser.add_argument("--features-prefix", default=None, help="第2パス出力の接頭辞（//features.parquet からジャンルを引く）"); parser.add_argument("--features-files", default="", help="較正用: --files と同順の features.parquet") parser.add_argument("--exclude-genres", default=EXCLUDE_GENRES_DEFAULT) parser.add_argument("--upload-repo", default=None); parser.add_argument("--upload-prefix", default="outputs_v5"); parser.add_argument("--upload-batch", type=int, default=10); parser.add_argument("--skip-existing-in-repo", action="store_true") parser.add_argument("--workers", type=int, default=max(1, int(os.environ.get("CPU_CORES") or os.cpu_count() or 2) - 1)) args = parser.parse_args(argv) sexual = [l.strip() for l in open(args.sexual_terms, encoding="utf-8") if l.strip() and not l.startswith("#")] if args.sexual_terms else [] cfg = {"sexual_terms": sexual, "count_tokens": args.count_tokens, "exclude_genres": [g for g in args.exclude_genres.split(",") if g]} if args.calibrate: calibrate([f for f in args.files.split(",") if f], cfg, args.limit, [f for f in args.features_files.split(",") if f] or None); return from huggingface_hub import HfApi api = HfApi(token=os.environ.get("HF_TOKEN")) shards = sorted({e.path.split("/")[-1] for e in api.list_repo_tree(args.repo, path_in_repo=f"{args.source_prefix}/{args.dir}", repo_type="dataset", recursive=False)}) if args.limit_shards: shards = shards[: args.limit_shards] existing = set() if args.skip_existing_in_repo and args.upload_repo: try: existing = {e.path.split("/")[-1] for e in api.list_repo_tree(args.upload_repo, path_in_repo=f"{args.upload_prefix}/{args.dir}", repo_type="dataset", recursive=False)} except Exception: existing = set() plan: dict[str, dict[int, Any]] = {} if args.plan: import pyarrow.parquet as pq t = pq.read_table(args.plan).filter(pq.compute.equal(pq.read_table(args.plan).column("dir"), args.dir)) if False else pq.read_table(args.plan) import pyarrow.compute as pc t = t.filter(pc.equal(t.column("dir"), args.dir)) for sh, row, ks, kr in zip(t.column("shard").to_pylist(), t.column("row_index").to_pylist(), t.column("kept_shard").to_pylist(), t.column("kept_row_index").to_pylist()): plan.setdefault(sh, {})[int(row)] = {"kept_shard": ks, "kept_row_index": kr} tasks = [{"repo": args.repo, "path": f"{args.source_prefix}/{args.dir}/{sh}/{sh}.parquet", "features_path": f"{args.features_prefix}/{args.dir}/{sh}/features.parquet" if args.features_prefix else None, "shard": sh, "config": args.dir, "output_root": str(args.output_root), "staging_dir": str(args.staging_dir), "cfg": cfg, "dedup_rows": list(plan.get(sh, {}).keys()), "dedup_info": plan.get(sh, {})} for sh in shards if sh not in existing] print(json.dumps({"event": "start", "dir": args.dir, "shards": len(shards), "skipped_existing": len(shards) - len(tasks), "dedup_rows": sum(len(v) for v in plan.values())}), flush=True) pending = []; failed = [] with ProcessPoolExecutor(max_workers=args.workers) as ex: for s in ex.map(process_shard, tasks): if "error" in s: failed.append(s["shard"]); print(json.dumps({"event": "error", **s}, ensure_ascii=False)[:600], flush=True); continue print(json.dumps({"event": "done", **{k: v for k, v in s.items() if k not in ("version", "finished_at_utc", "compression")}}, ensure_ascii=False), flush=True) if args.upload_repo: pending.append(s["shard"]) if len(pending) >= args.upload_batch: upload_batch(api, args.upload_repo, f"{args.upload_prefix}/{args.dir}", args.output_root, pending, True); pending = [] if args.upload_repo and pending: upload_batch(api, args.upload_repo, f"{args.upload_prefix}/{args.dir}", args.output_root, pending, True) print(json.dumps({"event": "finish", "dir": args.dir, "shards": len(tasks), "failed": failed}), flush=True) if __name__ == "__main__": main()