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