"""
Scraper JUCERN — Junta Comercial do Estado do Rio Grande do Norte
URL: http://www.jucern.rn.gov.br/Conteudo.asp?TRAN=ITEM&TARG=8695&ACT=&PAGE=0&PARM=&LBL=Leiloeiros
Método: httpx (HTTP sem TLS — site usa HTTP apenas)
Nota: URL com parâmetros de query é a página correta de leiloeiros.
      Usar HTTP (não HTTPS). Referenciado em FENAJU e InnLei como ativo.
"""
from __future__ import annotations

from typing import List

from .base_scraper import AbstractJuntaScraper, Leiloeiro


class JucernScraper(AbstractJuntaScraper):
    estado = "RN"
    junta = "JUCERN"
    url = "http://www.jucern.rn.gov.br/Conteudo.asp?TRAN=ITEM&TARG=8695&ACT=&PAGE=0&PARM=&LBL=Leiloeiros"

    async def parse_leiloeiros(self) -> List[Leiloeiro]:
        soup = await self.fetch_page()
        if not soup:
            # Tenta domínio sem www
            soup = await self.fetch_page(url="http://jucern.rn.gov.br/Conteudo.asp?TRAN=ITEM&TARG=8695&ACT=&PAGE=0&PARM=&LBL=Leiloeiros")
        if not soup:
            soup = await self.fetch_page_js(wait_ms=3000)
        if not soup:
            return []

        results: List[Leiloeiro] = []

        for table in soup.find_all("table"):
            rows = table.find_all("tr")
            if len(rows) < 2:
                continue
            headers = [self.clean(th.get_text()) for th in rows[0].find_all(["th", "td"])]
            col = {(h or "").lower(): i for i, h in enumerate(headers)}

            def gcol(cells, frags):
                for k, i in col.items():
                    if any(f in k for f in frags) and i < len(cells):
                        return self.clean(cells[i].get_text())
                return None

            for row in rows[1:]:
                cells = row.find_all(["td", "th"])
                if not cells:
                    continue
                nome = gcol(cells, ["nome", "leiloeiro"]) or self.clean(cells[0].get_text())
                if not nome or len(nome) < 3:
                    continue
                results.append(self.make_leiloeiro(
                    nome=nome,
                    matricula=gcol(cells, ["matr", "registro", "nº"]),
                    situacao=gcol(cells, ["situ", "status"]),
                    municipio=gcol(cells, ["munic", "cidade"]) or "Natal",
                    telefone=gcol(cells, ["tel", "fone"]),
                    email=gcol(cells, ["email"]),
                    endereco=gcol(cells, ["ender", "logr"]),
                    data_registro=gcol(cells, ["data", "posse"]),
                ))
            if results:
                break

        if not results:
            for el in soup.select("td, li, p"):
                text = self.clean(el.get_text())
                if text and len(text) > 10 and any(c.isupper() for c in text[:20]):
                    results.append(self.make_leiloeiro(nome=text, municipio="Natal"))

        return results