#!/usr/bin/env python3 """Fill missing `otsl` by converting each row's `html`. OTSL <-> HTML are interconvertible. Sources that ship HTML but no OTSL (PubTables-1M, CC-OCR) get their OTSL generated here with a worker pool. Usage: python3 fill_otsl.py [--workers N] """ import multiprocessing as mp import re import sys from html.parser import HTMLParser import pyarrow as pa import pyarrow.parquet as pq _WS = re.compile(r"\s+") class OtslBuilder(HTMLParser): """HTML -> PaddleOCR OTSL token string.""" def __init__(self): super().__init__(convert_charrefs=True) self.rows = [] self.cur = None self.buf = None def _open_row(self): if self.cur is None: self.cur = [] def handle_starttag(self, tag, attrs): if tag == "tr": self._open_row() elif tag in ("td", "th"): self._open_row() a = dict(attrs) def _int(k): try: return max(1, int(a.get(k, 1) or 1)) except (TypeError, ValueError): return 1 cs, rs = _int("colspan"), _int("rowspan") self._pending = ("" + "" * (cs - 1) + "" * (rs - 1)) self.buf = [] def handle_data(self, data): if self.buf is not None: self.buf.append(data) def handle_endtag(self, tag): if tag in ("td", "th"): text = "" if self.buf is not None: text = _WS.sub(" ", "".join(self.buf)).strip() # 空单元格在 OTSL 里是 (而不是 "" + 空文本), 但如果它带 # colspan/rowspan, 跨度 token 要保留: -> if text: head = self._pending else: head = self._pending.replace("", "", 1) self.cur.append(head + text) self.buf = None self._pending = None elif tag == "tr" and self.cur is not None: self.rows.append(self.cur) self.cur = None def to_otsl(self): if self.cur: self.rows.append(self.cur) self.cur = None if not self.rows: return "" return "".join( "".join(c.strip() for c in r) + "" * max(1, len(r)) for r in self.rows ) def html_to_otsl(html): if not html: return "" p = OtslBuilder() try: p.feed(html) p.close() except Exception: return "" return p.to_otsl() def work(chunk): return [html_to_otsl(h) for h in chunk] def main(): src, dst = sys.argv[1], sys.argv[2] workers = 32 if "--workers" in sys.argv: workers = int(sys.argv[sys.argv.index("--workers") + 1]) pf = pq.ParquetFile(src) schema = pf.schema_arrow out = pq.ParquetWriter(dst, schema, compression="zstd") total = filled = 0 with mp.Pool(workers) as pool: for rg in range(pf.num_row_groups): tbl = pf.read_row_group(rg) htmls = tbl.column("html").to_pylist() otsls = tbl.column("otsl").to_pylist() todo = [i for i, o in enumerate(otsls) if not o and htmls[i]] if todo: chunks = [htmls[i] for i in todo] n = (len(chunks) + workers * 4 - 1) // (workers * 4) pieces = [chunks[k:k + n] for k in range(0, len(chunks), n)] for piece, res in zip(pieces, pool.map(work, pieces)): for i, s in zip(todo[:len(piece)], res): otsls[i] = s todo = todo[len(piece):] filled += len(todo) i = schema.get_field_index("otsl") newcol = pa.array(otsls, type=schema.field("otsl").type) tbl = tbl.set_column(i, schema.field("otsl"), newcol) out.write_table(tbl) total += tbl.num_rows print(f" {total} rows, filled {filled}", flush=True) out.close() print(f"done: {total} rows, {filled} otsl generated -> {dst}") if __name__ == "__main__": main()