"""
RewardPilot - City & platform availability
===========================================
Answers two questions the channel comparison needs:
  1. Which city is the user in? (explicit city > city named in the query >
     nearest metro centroid from GPS coordinates)
  2. Is a booking platform - and, when we know the chain, this specific
     merchant - actually available in that city?

Curated seed, same philosophy as offers.py: structured and dated in spirit,
refreshed by the ingestion pipeline (connectors/) later. Coverage values are
illustrative until a live feed is wired.

Availability levels:
  "available"   - platform (and merchant, when known) confirmed in this city
  "unknown"     - no data to confirm; channel is kept but flagged unverified
  "unavailable" - confirmed absent (platform not in city, or chain not listed
                  on this platform); channel is dropped from the comparison

Mirrored on-device in app/src/data/availability.ts.
"""

import math
from typing import Dict, Optional, Set, Union

# ---------------------------------------------------------------------------
# Cities: canonical name -> (lat, lng) centroid. Used for GPS fallback.
# ---------------------------------------------------------------------------
CITIES: Dict[str, tuple] = {
    "mumbai": (19.0760, 72.8777),
    "delhi": (28.6139, 77.2090),
    "bengaluru": (12.9716, 77.5946),
    "hyderabad": (17.3850, 78.4867),
    "chennai": (13.0827, 80.2707),
    "kolkata": (22.5726, 88.3639),
    "pune": (18.5204, 73.8567),
    "ahmedabad": (23.0225, 72.5714),
    "jaipur": (26.9124, 75.7873),
    "surat": (21.1702, 72.8311),
    "lucknow": (26.8467, 80.9462),
    "chandigarh": (30.7333, 76.7794),
    "indore": (22.7196, 75.8577),
    "kochi": (9.9312, 76.2673),
    "goa": (15.4909, 73.8278),
}

# Common alternates / NCR satellites -> canonical city key.
CITY_SYNONYMS: Dict[str, str] = {
    "bombay": "mumbai", "navi mumbai": "mumbai", "thane": "mumbai",
    "new delhi": "delhi", "gurgaon": "delhi", "gurugram": "delhi",
    "noida": "delhi", "ghaziabad": "delhi", "faridabad": "delhi",
    "bangalore": "bengaluru",
    "madras": "chennai",
    "calcutta": "kolkata",
    "cochin": "kochi",
    "secunderabad": "hyderabad",
    "panaji": "goa", "panjim": "goa",
}


def normalize_city(name: Optional[str]) -> Optional[str]:
    """Free-text city name -> canonical key, or None if we don't know it."""
    t = (name or "").strip().lower()
    if not t:
        return None
    if t in CITIES:
        return t
    return CITY_SYNONYMS.get(t)


def extract_city(text: str) -> Optional[str]:
    """Find a city mentioned inside a free-text query ("dinner ... in Mumbai")."""
    t = (text or "").lower()
    hits = [k for k in list(CITIES) + list(CITY_SYNONYMS) if k in t]
    if not hits:
        return None
    pick = sorted(hits, key=len, reverse=True)[0]
    return pick if pick in CITIES else CITY_SYNONYMS[pick]


def city_from_latlng(lat: float, lng: float, max_km: float = 60.0) -> Optional[str]:
    """Nearest metro centroid within max_km, else None."""
    best, best_d = None, max_km
    for city, (clat, clng) in CITIES.items():
        p1, p2 = math.radians(lat), math.radians(clat)
        dp, dl = math.radians(clat - lat), math.radians(clng - lng)
        h = math.sin(dp / 2) ** 2 + math.cos(p1) * math.cos(p2) * math.sin(dl / 2) ** 2
        d = 2 * 6371.0 * math.asin(min(1.0, math.sqrt(h)))
        if d < best_d:
            best, best_d = city, d
    return best


# ---------------------------------------------------------------------------
# Platform coverage: (channel_key, kind) -> "*" (pan-India) or a city set.
# Direct/walk-in channels and travel OTAs are always available.
# ---------------------------------------------------------------------------
_ALL = "*"
PLATFORM_CITIES: Dict[tuple, Union[str, Set[str]]] = {
    ("dineout", "dining"): {
        "mumbai", "delhi", "bengaluru", "hyderabad", "chennai", "kolkata",
        "pune", "ahmedabad", "jaipur", "lucknow", "chandigarh", "indore",
    },
    ("district", "dining"): {
        "mumbai", "delhi", "bengaluru", "hyderabad", "chennai", "kolkata",
        "pune", "ahmedabad",
    },
    ("district", "movies"): {
        "mumbai", "delhi", "bengaluru", "hyderabad", "chennai", "pune",
    },
    ("bookmyshow", "movies"): _ALL,
}

# ---------------------------------------------------------------------------
# Merchant-level listings (dining chains we track): brand_key -> platform ->
# "*" or city set. A chain present in this dict with a platform MISSING means
# we know it is NOT listed there (e.g. QSR counter chains aren't on the
# dine-in bill-payment platforms).
# ---------------------------------------------------------------------------
MERCHANT_PLATFORMS: Dict[str, Dict[str, Union[str, Set[str]]]] = {
    "copper_chimney": {
        "dineout": {"mumbai", "delhi", "pune", "bengaluru"},
        "district": {"mumbai", "pune", "bengaluru"},
    },
    "barbeque_nation": {"dineout": _ALL, "district": _ALL},
    # counter/QSR chains: you pay at the till, not through a dine-in bill app
    "starbucks": {},
    "haldiram": {},
    "dominos": {},
    "pizza_hut": {},
    "mcdonalds": {},
    "kfc": {},
}


def channel_availability(
    channel_key: str,
    kind: str,
    city: Optional[str],
    brand_key: Optional[str] = None,
) -> str:
    """'available' | 'unknown' | 'unavailable' for one channel in one city."""
    if channel_key == "direct":
        return "available"
    if kind in ("flights", "hotels"):
        return "available"          # travel OTAs are pan-India

    # Merchant-level check first (dining chains we track).
    if kind == "dining" and brand_key in MERCHANT_PLATFORMS:
        listed = MERCHANT_PLATFORMS[brand_key]
        cities = listed.get(channel_key)
        if cities is None:
            return "unavailable"     # chain known, not listed on this platform
        if cities != _ALL:
            if city is None:
                return "unknown"     # listed somewhere, can't confirm this city
            return "available" if city in cities else "unavailable"
        # cities == "*": fall through to the platform's own city coverage

    cov = PLATFORM_CITIES.get((channel_key, kind))
    if cov is None:
        return "unknown"
    if cov == _ALL:
        return "available"
    if city is None:
        return "unknown"
    return "available" if city in cov else "unavailable"