"""Halal meat sales opportunity scoring for export market entities."""
from __future__ import annotations

import json
import re
from typing import Any

# Land-basis: vraag naar halal vlees / moslim markt (0–100 proxy)
COUNTRY_HALAL_MARKET: dict[str, float] = {
    "SA": 98, "AE": 97, "QA": 97, "KW": 96, "BH": 96, "OM": 95,
    "EG": 92, "MA": 90, "DZ": 90, "TN": 89, "LY": 88, "SD": 91, "SO": 93,
    "TR": 85, "ID": 94, "MY": 93, "PK": 95, "BD": 94, "AF": 96, "IR": 94,
    "IQ": 93, "JO": 90, "LB": 88, "SY": 89, "YE": 95, "PS": 91,
    "NG": 82, "SN": 92, "ML": 93, "NE": 95, "BF": 90, "CI": 85, "GH": 78,
    "KE": 72, "TZ": 78, "UG": 70, "ET": 68, "ZA": 55, "GB": 52, "FR": 54,
    "DE": 50, "NL": 58, "BE": 56, "SE": 42, "NO": 38, "DK": 40, "FI": 35,
    "AT": 48, "CH": 45, "IT": 46, "ES": 48, "PT": 42, "GR": 45, "CY": 55,
    "BA": 82, "AL": 85, "XK": 88, "MK": 75, "RS": 72, "BG": 58, "RO": 55,
    "US": 45, "CA": 48, "AU": 38, "NZ": 35, "MX": 40, "BR": 42, "AR": 38,
    "SG": 72, "TH": 55, "PH": 65, "IN": 70, "CN": 35, "JP": 30, "KR": 32,
    "RU": 48, "KZ": 62, "UZ": 75, "AZ": 80, "GE": 55,
}

TYPE_BASE: dict[str, float] = {
    "butcher": 92,
    "doner_shoarma": 90,
    "wholesaler": 86,
    "distributor": 85,
    "importer": 84,
    "contract_caterer": 78,
    "restaurant": 72,
    "foodservice": 65,
    "logistics": 45,
}

HALAL_KEYWORDS = re.compile(
    r"halal|helal|kebab|döner|doner|shoarma|shawarma|moslim|muslim|islamic|"
    r"middle\s*east|turkish|türk|arab|pakistani|moroccan|marok|syrian|lebanese|"
    r"peri\s*peri|grill|bbq|meat|vlees|slager|butcher|wholesale|groothandel|"
    r"cash\s*&\s*carry|horeca|ethnic|kosher",
    re.I,
)

EXPLICIT_HALAL = re.compile(r"\bhalal\b|\bhelal\b", re.I)


def _product_interest_text(val: Any) -> str:
    if not val:
        return ""
    if isinstance(val, str):
        try:
            val = json.loads(val)
        except json.JSONDecodeError:
            return val
    if isinstance(val, list):
        return " ".join(str(x) for x in val)
    return str(val)


def score_entity(row: dict[str, Any]) -> tuple[float, list[str]]:
    """Return (score 0–100, reason tags)."""
    reasons: list[str] = []
    country = (row.get("country_iso2") or "").upper()
    etype = row.get("entity_type") or ""
    name = row.get("name") or ""
    notes = row.get("halal_cert_notes") or ""
    interest = _product_interest_text(row.get("product_interest"))

    score = TYPE_BASE.get(etype, 50)
    reasons.append(f"type:{etype}")

    market = COUNTRY_HALAL_MARKET.get(country, 40)
    score = score * 0.55 + market * 0.45
    if market >= 80:
        reasons.append("sterke_halal_markt")

    blob = f"{name} {notes} {interest}".lower()
    if EXPLICIT_HALAL.search(blob):
        score += 18
        reasons.append("halal_in_naam")
    elif HALAL_KEYWORDS.search(blob):
        score += 10
        reasons.append("halal_signaal")

    if etype in ("butcher", "doner_shoarma"):
        reasons.append("direct_vlees_kanaal")
    elif etype in ("wholesaler", "distributor", "importer"):
        reasons.append("B2B_kanaal")

    conf = int(row.get("confidence") or 50)
    score += (conf - 50) * 0.08

    if row.get("email") or row.get("contact_email"):
        score += 3
    if int(row.get("contact_count") or 0) > 0:
        score += 4
        reasons.append("heeft_contact")

    return round(min(100, max(0, score)), 1), reasons


def halal_pin_tier(score: float) -> str:
    if score >= 75:
        return "hot"
    if score >= 55:
        return "warm"
    if score >= 40:
        return "mild"
    return "low"