# -----------------------------------------------------------------------------
# Immo-Ka — Agrégateur de maisons à vendre (province de Québec)
# Auteur : Simon-Pierre Boucher — contact@spboucher.ai
# connectors/base.py : classe de base des connecteurs + backends de fetch
#                      (requests direct, ou Firecrawl pour les sites JavaScript)
# -----------------------------------------------------------------------------
from __future__ import annotations

import json
import os
import time

import requests

from ..schema import PropertyListing

USER_AGENT = ("Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) "
              "AppleWebKit/537.36 (KHTML, like Gecko) Chrome/126 Safari/537.36 "
              "ImmoKaBot/1.0 (+https://www.immo-ka.com/bot; contact@spboucher.ai)")

FIRECRAWL_API = "https://api.firecrawl.dev/v1/scrape"
SCRAPFLY_API = "https://api.scrapfly.io/scrape"


class BaseConnector:
    """Un connecteur = un adaptateur propre à un site d'agence de courtage.

    Sous-classes : définir `source_id` et implémenter `fetch()` qui retourne
    la liste complète des propriétés actuellement affichées sur le site.
    Le pipeline (ingest.py) s'occupe du diff avec la base de données.
    """

    source_id: str = ""
    request_delay: float = 0.6           # politesse entre requêtes
    timeout: int = 30
    use_detail_cache: bool = True        # cache BD des pages détail

    def __init__(self) -> None:
        self.session = requests.Session()
        self.session.headers["User-Agent"] = USER_AGENT
        self._last_request = 0.0
        self._detail_con = None

    # -- backends -------------------------------------------------------------
    def get(self, url: str, **kw) -> requests.Response:
        """GET direct avec throttling poli."""
        wait = self.request_delay - (time.time() - self._last_request)
        if wait > 0:
            time.sleep(wait)
        resp = self.session.get(url, timeout=self.timeout, **kw)
        self._last_request = time.time()
        resp.raise_for_status()
        return resp

    def post(self, url: str, **kw) -> requests.Response:
        """POST direct avec throttling poli (APIs de recherche internes)."""
        wait = self.request_delay - (time.time() - self._last_request)
        if wait > 0:
            time.sleep(wait)
        resp = self.session.post(url, timeout=self.timeout, **kw)
        self._last_request = time.time()
        resp.raise_for_status()
        return resp

    def get_rendered(self, url: str, wait_for: int = 0,
                     proxy: str | None = None) -> str:
        """Récupère le HTML rendu (JavaScript exécuté) via Firecrawl.

        Nécessite FIRECRAWL_API_KEY dans l'environnement (.env).
        À utiliser pour les sites SPA ou derrière Cloudflare.
        `proxy="stealth"` franchit les challenges anti-bot (Cloudflare, etc.).
        """
        key = os.environ.get("FIRECRAWL_API_KEY")
        if not key:
            raise RuntimeError("FIRECRAWL_API_KEY manquant (voir .env)")
        payload: dict = {"url": url, "formats": ["html"], "timeout": 90000}
        if wait_for:
            payload["waitFor"] = wait_for
        if proxy:
            payload["proxy"] = proxy
        resp = requests.post(
            FIRECRAWL_API,
            json=payload,
            headers={"Authorization": f"Bearer {key}"},
            timeout=150,
        )
        resp.raise_for_status()
        data = resp.json()
        return (data.get("data") or {}).get("html", "")

    def scrapfly(self, url: str, render_js: bool = True, asp: bool = True,
                 rendering_wait: int = 0, country: str = "ca",
                 wait_for_selector: str | None = None,
                 js_scenario: list | str | None = None,
                 proxy_pool: str | None = None, headers: dict | None = None,
                 method: str = "GET", body: str | None = None) -> dict:
        """Appel Scrapfly complet — retourne le dict `result` (content, status_code…).

        - `js_scenario` : liste d'étapes [{"scroll_y":…},{"wait":…}] (encodée base64)
          pour charger les listes virtualisées (BoldTrail/kvCORE, etc.).
        - `proxy_pool` : ex. "public_residential_pool" (WAF/anti-bot agressif).
        - `headers`/`method`/`body` : pour REJOUER une API JSON interne via ASP.
        """
        import base64
        key = os.environ.get("SCRAPFLY_KEY")
        if not key:
            raise RuntimeError("SCRAPFLY_KEY manquant (voir .env)")
        params: dict = {"key": key, "url": url, "country": country}
        if asp:
            params["asp"] = "true"
        if render_js:
            params["render_js"] = "true"
        if rendering_wait:
            params["rendering_wait"] = rendering_wait
        if wait_for_selector:
            params["wait_for_selector"] = wait_for_selector
        if proxy_pool:
            params["proxy_pool"] = proxy_pool
        if js_scenario is not None:
            js = js_scenario if isinstance(js_scenario, str) else json.dumps(js_scenario)
            params["js_scenario"] = base64.urlsafe_b64encode(js.encode()).decode()
        if headers:
            for k, v in headers.items():
                params[f"headers[{k}]"] = v
        wait = self.request_delay - (time.time() - self._last_request)
        if wait > 0:
            time.sleep(wait)
        if method.upper() == "POST":
            resp = requests.post(SCRAPFLY_API, params=params,
                                 data=(body or ""), timeout=180)
        else:
            resp = requests.get(SCRAPFLY_API, params=params, timeout=180)
        self._last_request = time.time()
        try:
            return resp.json().get("result") or {}
        except ValueError:
            return {}

    def get_scrapfly(self, url: str, render_js: bool = True, asp: bool = True,
                     rendering_wait: int = 0, country: str = "ca",
                     wait_for_selector: str | None = None,
                     js_scenario: list | str | None = None,
                     proxy_pool: str | None = None) -> str:
        """HTML rendu via Scrapfly (ASP = bypass anti-bot + rendu JS). Retourne
        le HTML (result.content) ou "" en cas d'échec ASP."""
        return self.scrapfly(url, render_js=render_js, asp=asp,
                             rendering_wait=rendering_wait, country=country,
                             wait_for_selector=wait_for_selector,
                             js_scenario=js_scenario, proxy_pool=proxy_pool
                             ).get("content") or ""

    def detail(self, external_id: str, key: str, fetch_fn) -> dict:
        """Payload « page détail » avec cache : `fetch_fn` n'est appelé que si
        la propriété est nouvelle ou si sa clé (hash du contenu liste) a changé.

        Permet d'extraire les champs riches (description, courtier, photos…)
        sans revisiter chaque page détail à chaque synchronisation.
        `fetch_fn` doit retourner un dict JSON-sérialisable.
        """
        if not self.use_detail_cache:
            return fetch_fn() or {}
        from .. import db
        if self._detail_con is None:
            self._detail_con = db.connect()
        cached = db.get_cached_detail(self._detail_con, self.source_id,
                                      str(external_id), key)
        if cached is not None:
            return cached
        payload = fetch_fn() or {}
        db.put_cached_detail(self._detail_con, self.source_id,
                             str(external_id), key, payload)
        return payload

    # -- contrat --------------------------------------------------------------
    def fetch(self) -> list[PropertyListing]:
        raise NotImplementedError