import pandas as pd
import gradio as gr

def get_quantities_from_csv(path):
    try:
        df = pd.read_csv(path)
        if df.empty or "Quantity" not in df.columns:
            return gr.update(choices=[], visible=False), {}
        return gr.update(choices=df["Quantity"].dropna().tolist(), visible=True), df.to_dict()
    except Exception as e:
        print(f"❌ Error loading CSV: {e}")
        return gr.update(choices=[], visible=False), {}

def display_quantity_info(quantity, data_dict):
    try:
        df = pd.DataFrame(data_dict)
        row = df[df["Quantity"] == quantity].iloc[0]
        if str(row["In Stock"]).strip().lower() == "yes":
            msg = (
                f"✅ {quantity} is available!\n"
                f"• Floor: {row['Floor']}\n"
                f"• Aisle: {row['Aisle']}\n"
                f"• Price: ₹{row['Price']}"
            )
            if "Offer" in row and pd.notna(row["Offer"]) and row["Offer"].strip():
                msg += f"\n• 🎉 Offer: {row['Offer']}"
            return msg
        else:
            return f"❌ Sorry, {quantity} is currently not in stock."
    except Exception as e:
        return f"⚠ Error: {e}"