from utils.config import get_settings

def small_router(text: str) -> dict:
    t = (text or "").lower()
    if any(k in t for k in ["hour", "open", "close", "address", "location"]):
        return {"tool": "get_hours", "args": {}}
    if any(k in t for k in ["menu", "vegan", "gluten", "pizza", "salad", "special"]):
        flt = []
        for k in ["vegan","gluten-free","pizza","salad"]:
            if k in t: flt.append(k)
        return {"tool": "menu_lookup", "args": {"filters": flt}}
    if any(k in t for k in ["reserve","reservation","book","table"]):
        # naive hints
        party = 2 if ("2" in t or "two" in t) else None
        time = "19:00" if "7" in t else None
        return {"tool": "create_reservation", "args": {"party_size": party, "datetime_str": time}}
    if any(k in t for k in ["order","buy"]):
        return {"tool": "create_order", "args": {"items": []}}
    return {"tool": None, "args": {}}

def nlg(intent: str, tool_result: dict, user_text: str) -> str:
    if intent == "get_hours":
        h = tool_result
        return f"We’re open {h['open']}–{h['close']} daily at {h['address']}."
    if intent == "menu_lookup":
        items = (tool_result or {}).get("items") or []
        if not items:
            return "We have a variety of options—anything specific you’d like?"
        tops = ", ".join(f"{it['name']} (${it['price']})" for it in items[:3])
        return f"Popular picks: {tops}."
    if intent == "create_reservation":
        if tool_result.get("ok"):
            return f"Reservation confirmed for {tool_result['party_size']} at {tool_result['when']}. Code {tool_result['reservation_id']}."
        return "I couldn't confirm that reservation—want me to try again?"
    if intent == "create_order":
        if tool_result.get("ok"):
            items = ", ".join(f"{it['qty']}× {it['name']}" for it in tool_result.get("items", []))
            return f"Got it: {items}. Total ${tool_result.get('total', 0)}."
        return "I couldn't place that order—want me to try again?"
    # small talk
    return "Hello, this is Marta, an AI agent for FutureCafe. How can I help you today?"

def respond(user_text: str) -> dict:
    # MVP: use rule-based router; later swap to real LLM function-calling
    route = small_router(user_text)
    return route