Datasets:
File size: 4,785 Bytes
3ee7303 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 | """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]))
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