polish-dynaword / src /test_build_uzp_orzeczenia_pl.py
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Add UZP public-procurement rulings (KIO/SO/SA/SN) (#39)
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import importlib.util
from pathlib import Path
SCRIPT = Path(__file__).with_name("build_uzp_orzeczenia_pl.py")
SPEC = importlib.util.spec_from_file_location("build_uzp_orzeczenia_pl", SCRIPT)
MODULE = importlib.util.module_from_spec(SPEC)
SPEC.loader.exec_module(MODULE)
def results_page(ids, counts="35694,34412,1277,3,2"):
items = "".join(
f'<div class="search-list-item">'
f'<label>Organ wydający:</label> Krajowa Izba Odwoławcza'
f'<p><label>Rodzaj dokumentu:</label> wyrok</p>'
f'<p><label>Sygnatura:</label> KIO {i}/26</p>'
f'<p><label>Data wydania:</label> 07-08-2026</p>'
f'<a class="link-details" href="/Home/Details/{i}">Wyświetl szczegóły</a>'
f'</div>'
for i in ids)
return f'<input type="hidden" value="{counts}" id="resultCounts" />' + items
def details_page(doc_id=36097, kind="KIO", signature="KIO 3640/26"):
return (
f'<html><body><label>Organ wydający</label> Krajowa Izba Odwoławcza'
f'<label>Rodzaj dokumentu</label> postanowienie'
f'<label>Data wydania rozstrzygnięcia</label> 07-08-2026'
f'<label>Przewodniczący</label> Jan Kowalski'
f'<label>Zamawiający</label> Szpital Miejski'
f'<label>Miejscowość</label> Warszawa'
f'<label>Sygnatura akt / Sposób rozstrzygnięcia</label> {signature} / umorzenie'
f'<label>Kluczowe przepisy ustawy Pzp</label> art. 568 pkt 2'
f'<a href="/Home/PdfContent/{doc_id}?Kind={kind}">Pobierz treść PDF</a>'
f'</body></html>')
def test_parse_result_items_extracts_records_and_totals():
records, totals = MODULE.parse_result_items(results_page([36097, 36096, 36095]))
assert [r["doc_id"] for r in records] == [36097, 36096, 36095]
assert records[0]["organ"].startswith("Krajowa Izba")
assert records[0]["doc_type"] == "wyrok"
assert records[0]["signature"] == "KIO 36097/26"
assert records[0]["issued"] == "07-08-2026"
assert totals == [35694, 34412, 1277, 3, 2]
def test_parse_counts_maps_kinds():
counts = MODULE.parse_counts(results_page([1]))
assert counts == {"ALL": 35694, "KIO": 34412, "SO": 1277, "SA": 3, "SN": 2}
def test_parse_details_extracts_metadata_and_pdf_link():
details = MODULE.parse_details(details_page(), 36097)
assert details["doc_id"] == 36097
assert details["organ"] == "Krajowa Izba Odwoławcza"
assert details["chairman"] == "Jan Kowalski"
assert details["purchaser"] == "Szpital Miejski"
assert details["signature"] == "KIO 3640/26 / umorzenie"
assert details["pdf_path_url"] == "https://orzeczenia.uzp.gov.pl/Home/PdfContent/36097?Kind=KIO"
assert details["pdf_kind"] == "KIO"
def test_parse_details_so_kind():
details = MODULE.parse_details(details_page(9036, "SO", "X Ga 286/13"), 9036)
assert details["pdf_path_url"].endswith("?Kind=SO")
assert details["pdf_kind"] == "SO"
def test_iso_date_dd_mm_yyyy():
assert MODULE.iso_date("07-08-2026") == "2026-08-07"
assert MODULE.iso_date("03-10-2013") == "2013-10-03"
assert MODULE.iso_date("") == ""
def test_normalize_drops_repeated_signature_and_page_numbers():
raw = "Sygn. akt KIO 1/26\nPierwszy akapit\n3\nSygn. akt KIO 1/26\nDrugi akapit"
out = MODULE.normalize(raw)
assert out.count("Sygn. akt") == 1
assert "\n3\n" not in "\n" + out + "\n"
assert "Pierwszy akapit" in out and "Drugi akapit" in out
def test_normalize_repairs_line_wraps():
raw = "To jest dłu-\ngi wyraz\noraz kolejna\nlinia tekstu."
out = MODULE.normalize(raw)
assert "długi wyraz" in out
assert "oraz kolejna linia tekstu." in out
def test_redact_pii_masks_patterns():
text = "Kontakt: jan@example.com tel. 601 234 567 PESEL 44051401458 " \
"rachunek 12 3456 7890 1234 5678 9012 3456 IP 10.0.0.1"
out, counts = MODULE.redact_pii(text)
assert "[REDACTED:EMAIL]" in out
assert "[REDACTED:PHONE]" in out
assert "[REDACTED:ID]" in out
assert "[REDACTED:ACCOUNT]" in out
assert "[REDACTED:IP]" in out
assert "jan@example.com" not in out
assert counts["email"] == 1 and counts["national_identifier"] == 1
def test_redact_pii_compressed_ipv6():
out, counts = MODULE.redact_pii("adres ::1 oraz 2001:db8::ff00:42:8329 w tekście")
assert "[REDACTED:IP]" in out
assert counts["ipv6"] >= 1
def test_filter_sketch_drops_boilerplate_shingles():
boiler = MODULE.shingle_sketch("Krajowa Izba Odwoławcza w składzie Przewodniczący")
own_a = MODULE.shingle_sketch("sygnatura sprawa alfa unikalna treść alfa")
own_b = MODULE.shingle_sketch("sygnatura sprawa beta unikalna treść beta")
df = MODULE.shingle_document_frequencies([boiler | own_a, boiler | own_b])
max_df = 1 # boiler appears in both docs -> df=2 > max_df
filtered = MODULE.filter_sketch(boiler | own_a, df, max_df)
assert filtered <= own_a
assert filtered == own_a
def test_near_duplicate_index_matches_exhaustive():
base = " ".join(f"słowo{i}" for i in range(300))
near = MODULE.NearDuplicateIndex()
near.add("doc_a", MODULE.shingle_sketch(base))
hit, score = near.find(MODULE.shingle_sketch(base + " dodatkowy koniec"))
assert hit == "doc_a" and score >= 0.90
distinct = " ".join(f"inne{i}" for i in range(300))
assert near.find(MODULE.shingle_sketch(distinct)) == (None, 0.0)
# regression: index must agree with exhaustive pairwise comparison
sketches = {f"d{i}": MODULE.shingle_sketch(" ".join(f"x{i}w{j}" for j in range(200)))
for i in range(30)}
sketches["dup"] = MODULE.shingle_sketch(" ".join(f"x0w{j}" for j in range(200)))
index = MODULE.NearDuplicateIndex()
added = {}
for rid, sk in sketches.items():
other, score = index.find(sk)
expected = None
for oid, osk in added.items():
inter = len(sk & osk)
s = inter / max(len(sk) + len(osk) - inter, 1)
if s >= 0.90:
expected = oid
break
assert (other is not None) == (expected is not None), rid
index.add(rid, sk)
added[rid] = sk