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Download scripts/extract_all.py from PiotrSty/sejm-committee-transcripts: direct link, hf CLI and curl.
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https://huggingface.co/datasets/PiotrSty/sejm-committee-transcripts/resolve/main/scripts/extract_all.py
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hf download hf://datasets/PiotrSty/sejm-committee-transcripts/scripts/extract_all.py
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curl -L -o extract_all.py https://huggingface.co/datasets/PiotrSty/sejm-committee-transcripts/resolve/main/scripts/extract_all.py
4.79 kB
| """Extract speaker turns from downloaded committee PDFs.""" | |
| import json, sys, pathlib, hashlib, re, concurrent.futures as cf | |
| from parse_zapis import parse_pdf | |
| CACHE = pathlib.Path("sejm_cache") | |
| OUTDIR = CACHE / "parsed"; OUTDIR.mkdir(parents=True, exist_ok=True) | |
| EMAIL = re.compile(r"[A-Za-z0-9._%+-]+@[A-Za-z0-9.-]+\.[A-Za-z]{2,}") | |
| PESEL = re.compile(r"(?<!\d)(\d{11})(?!\d)") | |
| NIP = re.compile(r"(?<!\d)(\d{10})(?!\d)") | |
| REGON = re.compile(r"(?<!\d)(\d{9}|\d{14})(?!\d)") | |
| PHONE = re.compile(r"(?i)\b(tel\.?|telefon|fax)\b[:. ]*\+?\d[\d ()-]{6,}") | |
| IBAN = re.compile(r"\b[A-Z]{2}\d{2}[ ]?(?:[ ]?\d{4}){4,7}\b") | |
| def pesel_ok(d: str) -> bool: | |
| w = [1, 3, 7, 9, 1, 3, 7, 9, 1, 3] | |
| s = sum(int(a) * b for a, b in zip(d[:10], w)) % 10 | |
| return (10 - s) % 10 == int(d[10]) | |
| def nip_ok(d: str) -> bool: | |
| w = [6, 5, 7, 2, 3, 4, 5, 6, 7] | |
| s = sum(int(a) * b for a, b in zip(d[:9], w)) % 11 | |
| return s % 10 == int(d[9]) | |
| def regon_ok(d: str) -> bool: | |
| if len(d) == 9: | |
| w = [8, 9, 2, 3, 4, 5, 6, 7] | |
| s = sum(int(a) * b for a, b in zip(d[:8], w)) % 11 | |
| return s % 10 == int(d[8]) | |
| w = [8, 9, 2, 3, 4, 5, 6, 7, -1, 2, 3, 4, 5, 6, 7] | |
| s = sum(int(a) * b for a, b in zip(d[:14], w)) % 11 | |
| return s % 10 == int(d[14]) | |
| def redact(text: str) -> tuple[str, int]: | |
| n = 0 | |
| def sub(m): | |
| nonlocal n; n += 1 | |
| return "[ADRES_EMAIL]" if "@" in m.group(0) else "[DANE_NUMERY]" | |
| text = EMAIL.sub(sub, text) | |
| text = PESEL.sub(lambda m: "[DANE_NUMERY]" if pesel_ok(m.group(1)) else m.group(0), text) | |
| text = NIP.sub(lambda m: "[DANE_NUMERY]" if nip_ok(m.group(1)) else m.group(0), text) | |
| text = REGON.sub(lambda m: "[DANE_NUMERY]" if regon_ok(m.group(1)) else m.group(0), text) | |
| text = PHONE.sub("[DANE_KONTAKTOWE]", text) | |
| text = IBAN.sub("[DANE_NUMERY]", text) | |
| return text, n | |
| def main(term: int): | |
| names = {} | |
| for t in (term,): | |
| comm = json.loads((CACHE / "api" / f"committees_term{t}.json").read_text(encoding="utf-8")) | |
| for c in comm: | |
| names[c["code"]] = c.get("name") or c.get("prettyName") or c["code"] | |
| jobs = [] | |
| dl = CACHE / "api" / f"dl_manifest_{term}.jsonl" | |
| for line in open(dl, encoding="utf-8"): | |
| r = json.loads(line) | |
| if r["status"] in ("ok", "cached"): | |
| p = CACHE / "pdf" / f"t{term}_{r['code']}_{r['num']}.pdf" | |
| if p.exists(): | |
| jobs.append((r["code"], r["num"], p)) | |
| print(f"term {term}: parsing {len(jobs)} PDFs", flush=True) | |
| dates = {} | |
| for f in sorted(CACHE.glob(f"api/sittings_{term}_*.json")): | |
| code = f.stem.split("_", 2)[2] | |
| for s in json.loads(f.read_text(encoding="utf-8")): | |
| if s.get("num"): | |
| dates[(code, s["num"])] = s.get("date") | |
| out = OUTDIR / f"turns_{term}.jsonl" | |
| stats = {"pdfs": len(jobs), "type": {}, "turns": 0, "chars": 0, "pii": 0, "parse_fail": []} | |
| def do_parse(job): | |
| code, num, p = job | |
| try: | |
| return job, parse_pdf(str(p)) | |
| except Exception as e: | |
| return job, ("__fail__", None, repr(e)[:100]) | |
| with open(out, "w", encoding="utf-8") as fh, cf.ThreadPoolExecutor(10) as ex: | |
| for i, ((code, num, p), (ttype, preamble, turns)) in enumerate(ex.map(do_parse, jobs)): | |
| if ttype == "__fail__": | |
| stats["parse_fail"].append({"code": code, "num": num, "err": turns}) | |
| continue | |
| stats["type"][ttype] = stats["type"].get(ttype, 0) + 1 | |
| if ttype != "pelny_zapis" or not turns: | |
| continue | |
| content = hashlib.sha1("\u241f".join(t for _, t in turns).encode()).hexdigest()[:16] | |
| for ti, (sp, tx) in enumerate(turns): | |
| tx, n = redact(re.sub(r"[ \t]+", " ", tx).strip()) | |
| if len(tx) < 15: | |
| continue | |
| row = { | |
| "term": str(term), | |
| "committee_code": code, | |
| "committee_name": names.get(code, code), | |
| "sitting_num": num, | |
| "date": dates.get((code, num)), | |
| "turn_idx": ti, | |
| "speaker": sp.strip(), | |
| "text": tx, | |
| "content_sha1": content, | |
| "source_url": f"https://api.sejm.gov.pl/sejm/term{term}/committees/{code}/sittings/{num}/pdf", | |
| } | |
| fh.write(json.dumps(row, ensure_ascii=False) + "\n") | |
| stats["turns"] += 1 | |
| stats["chars"] += len(tx) | |
| stats["pii"] += n | |
| if (i + 1) % 500 == 0: | |
| print(f"parsed {i+1}/{len(jobs)}", flush=True) | |
| print(json.dumps(stats, ensure_ascii=False)[:600]) | |
| if __name__ == "__main__": | |
| main(int(sys.argv[1])) | |